diff --git a/.github/ISSUE_TEMPLATE/social-following-and-share.md b/.github/ISSUE_TEMPLATE/social-following-and-share.md deleted file mode 100644 index 41fc7d5b44..0000000000 --- a/.github/ISSUE_TEMPLATE/social-following-and-share.md +++ /dev/null @@ -1,22 +0,0 @@ ---- -name: Social following and share -about: Use this to create a 'Social following and share' issue -title: Social following and share -labels: good first issue -assignees: '' - ---- - -### Purpose & Details - -By following us on social channels and sharing our content you will help us spread the word about KhulnaSoft, grow our channels and reach more audiences. - -### Acceptance Criteria - -- [ ] Follow KhulnaSoft Commons on social media. - - [ ] Follow on Twitter: [@KhulnaSoft](http://twitter.com/khulnasoft) - - [ ] Follow on LinkedIn: [KhulnaSoft Commons Foundation](https://linkedin.com/company/khulnasoft) -- [ ] Share some of our latest posts -- [ ] Once you have done so, close this issue - -Thank you for helping us to spread the word about KhulnaSoft! diff --git a/.github/dependabot.yml b/.github/dependabot.yml deleted file mode 100644 index 0a59adbd6b..0000000000 --- a/.github/dependabot.yml +++ /dev/null @@ -1,20 +0,0 @@ -version: 2 -updates: - # GitHub Actions - - package-ecosystem: "github-actions" - directory: "/" - schedule: - interval: "daily" - commit-message: - prefix: ⬆ - # Python - - package-ecosystem: "pip" - directory: "/" - schedule: - interval: "monthly" - groups: - python-packages: - patterns: - - "*" - commit-message: - prefix: ⬆ diff --git a/.github/workflows/auto-create-social-following-and-share.yml b/.github/workflows/auto-create-social-following-and-share.yml deleted file mode 100644 index add1a971c2..0000000000 --- a/.github/workflows/auto-create-social-following-and-share.yml +++ /dev/null @@ -1,32 +0,0 @@ -# Found the issue-bot GHA used in this GitHub documentation: https://docs.github.com/en/actions/guides/scheduling-issue-creation -# https://github.com/marketplace/actions/issue-bot-action -# https://github.com/marketplace/actions/extract-issue-template-fields -name: IssueOps - Create issue for "Social following and share" once the previous issues is closed - -on: - issues: - types: [closed] - -jobs: - build: - if: startsWith(github.event.issue.title, 'Social following and share') - runs-on: ubuntu-latest - steps: - - # Get the title, labels, assignees, and body of the issue template at the given path - - uses: imjohnbo/extract-issue-template-fields@v1 - id: extract - with: - path: .github/ISSUE_TEMPLATE/social-following-and-share.md - - # Create new issue with assignees, labels, title, and body. - # Also place the new issue in project #1, column "To Do" - - uses: imjohnbo/issue-bot@v3 - with: - assignees: ${{ steps.extract.outputs.assignees }} - labels: ${{ steps.extract.outputs.labels }} - title: ${{ steps.extract.outputs.title }} - body: ${{ steps.extract.outputs.body }} - project: 1 - column: "To do" - pinned: true diff --git a/.github/workflows/report.yml b/.github/workflows/report.yml index 60990b24ca..11c60100d4 100644 --- a/.github/workflows/report.yml +++ b/.github/workflows/report.yml @@ -1,4 +1,4 @@ -name: Deploy khulnasoft.github.io +name: Deploy KhulnaSoft on: push: branches: [ main ] @@ -26,11 +26,11 @@ jobs: - name: Grab Needed Data run: | wget -q https://nvd.handsonhacking.org/nvd.jsonl - wget -q https://raw.githubusercontent.com/CVEProject/cve-website/dev/src/assets/data/CNAsList.json + wget -q https://raw.githubusercontent.com/CVEProject/cve-website/main/src/assets/data/CNAsList.json ls -lh - name: Run Notebooks env: - GH_TOKEN: ${{ secrets.ORG_REPO_TOKEN }} + GH_TOKEN: ${{ secrets.GH_TOKEN }} run: | jupyter nbconvert --to notebook --inplace --execute CVEAll.ipynb jupyter nbconvert --to notebook --inplace --execute CVE2016.ipynb @@ -42,12 +42,14 @@ jobs: jupyter nbconvert --to notebook --inplace --execute CVE2022.ipynb jupyter nbconvert --to notebook --inplace --execute CVE2023.ipynb jupyter nbconvert --to notebook --inplace --execute CVE2024.ipynb + jupyter nbconvert --to notebook --inplace --execute CVE2025.ipynb jupyter nbconvert --to notebook --inplace --execute CVECNAMap.ipynb jupyter nbconvert --to notebook --inplace --execute CVECalendar.ipynb jupyter nbconvert --to notebook --inplace --execute CVEGrowth.ipynb jupyter nbconvert --to notebook --inplace --execute CVECVSS.ipynb jupyter nbconvert --to notebook --inplace --execute CVECNA.ipynb jupyter nbconvert --to notebook --inplace --execute CVECWE.ipynb + jupyter nbconvert --to notebook --inplace --execute CVECPE.ipynb - name: Commit changes uses: EndBug/add-and-commit@v9 @@ -61,7 +63,7 @@ jobs: jupyter-book build . - name: GitHub Pages action - uses: peaceiris/actions-gh-pages@v3 + uses: peaceiris/actions-gh-pages@v4 with: github_token: ${{ secrets.GITHUB_TOKEN }} publish_dir: ./_build/html diff --git a/CVE2016.ipynb b/CVE2016.ipynb index 2edf6e1ca6..650e6fbbd5 100644 --- a/CVE2016.ipynb +++ b/CVE2016.ipynb @@ -15,10 +15,10 @@ "id": "91b44dc2", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:10.424213Z", - "iopub.status.busy": "2024-09-13T08:21:10.423801Z", - "iopub.status.idle": "2024-09-13T08:21:11.067809Z", - "shell.execute_reply": "2024-09-13T08:21:11.067136Z" + "iopub.execute_input": "2025-03-03T16:22:16.794741Z", + "iopub.status.busy": "2025-03-03T16:22:16.794226Z", + "iopub.status.idle": "2025-03-03T16:22:17.445737Z", + "shell.execute_reply": "2025-03-03T16:22:17.445142Z" }, "tags": [ "remove-cell" @@ -100,10 +100,10 @@ "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:11.070371Z", - "iopub.status.busy": "2024-09-13T08:21:11.069938Z", - "iopub.status.idle": "2024-09-13T08:21:30.630294Z", - "shell.execute_reply": "2024-09-13T08:21:30.629625Z" + "iopub.execute_input": "2025-03-03T16:22:17.447787Z", + "iopub.status.busy": "2025-03-03T16:22:17.447422Z", + "iopub.status.idle": "2025-03-03T16:22:42.090430Z", + "shell.execute_reply": "2025-03-03T16:22:42.089850Z" }, "tags": [ "remove-cell" @@ -180,7 +180,11 @@ " try:\n", " description = entry['cve']['descriptions'][0]['value']\n", " except IndexError:\n", - " description = ''\n", + " description = '' \n", + " try: \n", + " vulnStatus = entry['cve']['vulnStatus']\n", + " except IndexError:\n", + " vulnStatus = '' \n", " new_row = {\n", " 'CVE': cve,\n", " 'Published': published_date,\n", @@ -198,12 +202,13 @@ " 'ImpactScore': impact_score,\n", " 'CWE': cwe,\n", " 'Description': description,\n", - " 'Assigner' : assigner\n", + " 'Assigner' : assigner,\n", + " 'Status': vulnStatus \n", " }\n", - " if not description.startswith('rejected reason'): \n", - " row_accumulator.append(new_row)\n", + " row_accumulator.append(new_row)\n", " nvd = pd.DataFrame(row_accumulator)\n", - " \n", + "\n", + "nvd = nvd[~nvd.Status.str.contains('Rejected')]\n", "nvd['Published'] = pd.to_datetime(nvd['Published'])\n", "thisyear = ((nvd['Published'] > '2000-01-01') & (nvd['Published'] < '2017-01-01'))\n", "nvd = nvd.loc[thisyear]\n", @@ -226,10 +231,10 @@ "id": "fb2368b3", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:30.633064Z", - "iopub.status.busy": "2024-09-13T08:21:30.632850Z", - "iopub.status.idle": "2024-09-13T08:21:30.648606Z", - "shell.execute_reply": "2024-09-13T08:21:30.648045Z" + "iopub.execute_input": "2025-03-03T16:22:42.092561Z", + "iopub.status.busy": "2025-03-03T16:22:42.092257Z", + "iopub.status.idle": "2025-03-03T16:22:42.107104Z", + "shell.execute_reply": "2025-03-03T16:22:42.106629Z" }, "tags": [ "remove-input" @@ -239,7 +244,7 @@ { "data": { "text/markdown": [ - "Total Number of CVEs: **79237**
Average CVEs Per Day: **12.76**
Average CVSS Score: **7.75**" + "Total Number of CVEs: **78384**
Average CVEs Per Day: **12.62**
Average CVSS Score: **7.76**" ], "text/plain": [ "" @@ -274,10 +279,10 @@ "id": "39c9867a", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:30.650868Z", - "iopub.status.busy": "2024-09-13T08:21:30.650664Z", - "iopub.status.idle": "2024-09-13T08:21:30.672393Z", - "shell.execute_reply": "2024-09-13T08:21:30.671880Z" + "iopub.execute_input": "2025-03-03T16:22:42.108890Z", + "iopub.status.busy": "2025-03-03T16:22:42.108706Z", + "iopub.status.idle": "2025-03-03T16:22:42.126175Z", + "shell.execute_reply": "2025-03-03T16:22:42.125592Z" }, "tags": [ "remove-cell" @@ -309,10 +314,10 @@ "id": "a776139d", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:30.677056Z", - "iopub.status.busy": "2024-09-13T08:21:30.676521Z", - "iopub.status.idle": "2024-09-13T08:21:30.960273Z", - "shell.execute_reply": "2024-09-13T08:21:30.959588Z" + "iopub.execute_input": "2025-03-03T16:22:42.128252Z", + "iopub.status.busy": "2025-03-03T16:22:42.127924Z", + "iopub.status.idle": "2025-03-03T16:22:42.392292Z", + "shell.execute_reply": "2025-03-03T16:22:42.391682Z" }, "tags": [ "remove-input" @@ -321,7 +326,7 @@ "outputs": [ { "data": { - "image/png": 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nDocPZ+iTTw4qJiZBnTqN1zPPVDS7JL+WkZHh9mt6TPA5ZswYNWvWTFWqVDG7FPXo0UPdunVzPE5JSVHVqlXVqFEjVahQwcTK4OssFosiIyPVpEkTBQcHm10OfBh9De5CX4O70NfgLvQ1uAt9zf8MGLBRVuseBQRIPXocdNt1S5QI1Nixd6tt293KzLS77brukjfIc9y4OLVu3UgPP1zN3IL82Pnz591+TY8IPo8dO6bly5dr1qxZjucqV66snJwcJSUl5Rv1mZCQoMqVKzvabN68Od+58nZ9v7jNX3eCT0hIUJkyZS472lOSQkNDFRoaesnzwcHBfODALehrcBf6GtyFvgZ3oa/BXehrcBf6mn8wDEPjxu1wPDYjgMzMtPtk8JnHMKRnnpmuEye66sYb3TuaFrnM+FnmEQs4jBs3ThUrVlTz5s0dz9WtW1fBwcFasWKF47kDBw7o+PHjCgsLkySFhYVp165dOnPmjKNNZGSkypQpo5o1azraXHyOvDZ55wAAAAAAADDT2rXH9McfuaPhDMPkYnxY3nqfBv/IfsP04NNut2vcuHFq06aNihX7cwBq2bJl1a5dO3Xr1k2rVq1SdHS03nrrLYWFhal+/fqSpKZNm6pmzZp6/fXXtWPHDi1dulQ9e/ZU586dHSM2O3bsqCNHjujjjz/W/v37NXToUE2fPl1du3Y15f0CAAAAAABcbNSobZL+nJYN19m2LV49eqy4dkP4BNODz+XLl+v48eNq27btJccGDhyop556Si1bttQjjzyiypUr55sOHxQUpAULFigoKEhhYWF67bXX9MYbb6hv376ONtWrV9fChQsVGRmpf//73xowYIBGjx6t8PBwt7w/AAAAAACAK0lMzNRvv+2VxGhPd+nf/3etXXvU7DLgBqav8dm0adMrDjEuXry4hgwZoiFDhlzx9dWqVdOiRYuueo2GDRtq+/bt11UnAAAAAACAs02cuFPZ2Tazy/A7zZtP0YkTXVWuXHGzS4ELmT7iEwAAAAAAwB8ZhsE0d5OkpeWw3qcfIPgEAAAAAAAwwebNp7R7d+6GzeRv7hcdfVqffbbS7DLgQgSfAAAAAAAAJmC0p/n69VuvdeuOmV0GXITgEwAAAAAAwM1SU7M1depuSYz2NNuTT05WUlKW2WXABQg+AQAAAAAA3GzKlN1KT7eYXQaUu95nkyas9+mLCD4BAAAAAADcjGnunmXr1tP6/PNVZpcBJyP4BAAAAAAAcKOYmHht3RoniWnunuSbb9Zp/frjZpcBJyL4BAAAAAAAcKNRo6IlMdrT0xiG9OSTk5SczHqfvoLgEwAAAAAAwE0yMiyaNGmXJEZ7eqLU1Bw1afIr6336CIJPAAAAAAAAN5kxY4+Sk7PNLgNXsWVLnHr1Wm12GXACgk8AAAAAAAA3YVMj7/D112v1++8nzC4D14ngEwAAAAAAwA327TvrCNOYSe3ZDENq1mwi6316OYJPAAAAAAAANxg9epvZJaAQUlNz1LTpRNb79GIEnwAAAAAAAC6WnW3V+PE7zC4DhbR58yn17r3a7DJQRASfAAAAAAAALjZnzn6dP59pdhkogi+/XKuoKNb79EYEnwAAAAAAAC7GpkbeyzCkJ56YpJSUbLNLQSERfAIAAJex2w0lJGTr9Ok0ZWRYWB8JAAD4pcOHE7ViRawkNjXyVikp2Wra9FfuZ71MMbMLAAAAvuujjyI1ePA+SfskScWKBapMmVCVK1dc5coVV9myof/7O/e/L338Z7u850JDuX0BAADeZcyY7WaXACfYtOmU+vZdoy++aGh2KSggvjkAAACXWLfumAYP3prvOavVrsTETCUmFn19q5CQIEdAmheS/hmOXj4s/WuYWqwYk14AAIB7WCw2jRsXY3YZcJI+fdaoadPbFBZW1exSUAAEnwAAwOmysqxq336+JKlJkwpaty5RWVkFmxZ08bpXl5tJlJNj09mzGTp7NqPI9ZUsGXyFkadXDksvPl6mTKgCA1mgCwAAXNvChQcVH59mdhlwkrz1Pk+c6KoyZULNLgfXQPAJAACc7quv1uqPP85Lktq0uVnr11+QVLDg0xnLJl0rPM3IsCgjw3JdX0JKlw5RmTKhuvHGi0edFnzk6Q03hCiA3Q0AAPB5F29qxPKQviElJVvh4RO1YUNb7uc8HMEnAABwqp07E9S//++SpNDQQN1wg/tvN5wZnl7pXKmpOUpNzdGpU6lFOn9gYIBKlw654pT9J5/8l5o1+1cRqwcAAJ7gxIlkLVlySBKhp6/ZuPGk3nxzrpo0+acqVCihChVKqnz5EqpQoYTKli3O7CAPQfAJAACcxmazq337ebJa7ZKkQC9eStPV4andbig5OVvJydk6diz5kuODB2/RJ588pH79HmckAQAAXmrcuBjZ7SSevmrChB2aMGHHJc8HBQWobNni+tvfSupvfyvpCEYrVCjhCEfzHl/8d/HixHTOxr8oAABwmp9/3qQtW+LMLsNjXG942r//74qNvaBJk1qyIRMAAF7GZrOzm7uPu9IvuW02w7GhZ97yTwVRokQx3XhjCd10U8mLAtH84ehfg9Ny5YorKIj7xCsh+AQAAE4RG3tBPXuuksQaVs40ffpenTiRomXLXtcNN4SYXQ4AACigyMgjOn780lkd8B1Fvd+9UmCamWlVZmaq4uIKvpRSQIDyjS79Mxi9/KjSvOMlSwb7xawigk8AAHDdDMNQx44LlZFh+d9jkwvyMVFRJ/Xvfw/Xhg1tVanSDWaXAwAACoBNjXAlRekPVwpLDUNKSspSUlKWDh1KLPD5QkKCVL58ib9Mx8+bin9pYFqhQgndeGMJr5uFRPAJAACu28SJO7Vs2WGzy/BpR45cUM2aQ7VhQ1vdeeffzC4HAABcRUJCmubNOyCJ0BPO4ezRpTk5NsXHpyk+Pq1Q5ytdOkQVKpQs1HT8G24IMW10KcEnAAC4LmfOpKtLl6WScjczsttNLsiHJSZm6t57R2jZstf08MPVzC4HAABcQUREjGOzR8BM1zO69HKvT03NUWpqjo4eTSrw+YoVC1T58iVUrlzha7le3jU+FQAAeJwuXZYoMTFTEqGnO2RlWdWw4XhNmbLb7FIAAMBlGIah0aNzNzXygyUU4YMM488/hREQcPk+b7XadeZMeqE2enIWgk8AAFBkCxf+QQBnArvdUKtWM/XNN+vMLgUAAPzF6tVHHWstMs0d/uRaYWlwsPt/E0DwCQAAiiQ1NVudOi2UxGgGs3z22Uq1azdXdjvfqgAA8BQXb2oE4E9BQQSfAADAS3z22UqdOJEiidEMZho7Nkbh4b8qK8tqdikAAPi98+czNHPmPkncHwGegOATAAAUWlTUCQ0evNnsMvA/y5fHql69kY61VgEAgDkmTtypnByb2WUA+B+CTwAAUCjZ2Va1azdPhsEULk+yZ89Z1ao1tFA7bAIAAOcxDINp7oCHIfgEAACF8u2367Vv3zlJTOHyNPHxabrnnmGKjo4zuxQAAPzOxo0ntWfPWUncIwGeguATAAAU2N69Z/X117k7iTOSwTOlpeWofv0xmjfvgNmlAADgVxjtCXgegk8AAFAgNptd7dvPk8Vil8RIBk9mtdr13HNTWYcVAAA3SUnJ1rRpeyRxjwR4EoJPAABQIMOGbVVU1Emzy0ABGYb0/vuL1bXrEhl8AwMAwKUmT96ljAyL2WUA+AuCTwAAcE3HjyerR48Vkpi+5W1++mmTWrSYJouFHWYBAHAVprkDnongEwAAXJVhGOrUaaHS0nL+99jkglBoc+Yc0IMPjlVKSrbZpQAA4HO2bTutbdtOS+I+CfA0BJ8AAOCqpk3bo0WLDppdBq7T1q1xql17mOLiUs0uBQAAnzJqVLQkRnsCnojgEwAAXNH58xn64IPFkqTAQO7mvd2xY8mqVWuodu9OMLsUAAB8Qnp6jiZN2iWJ0Z6AJyL4BAAAV9St2zKdPZshSbLbuZv3BUlJWapbd5RWrDhidikAAHi9GTP2KjU1x+wyAFwBwScAALisZcsOa8KEHWaXARfIybGpadOJGj8+xuxSAADwamxqBHg2gk8AAHCJ9PQcvfPOAkncyPsqu93Qm2/O1RdfrJLB3DwAAAptz54z2rDhhCSmuQOeiuATAABc4vPPV+no0SRJ3Mj7ur5916pNmzmy2exmlwIAgFcZPXqb2SUAuAaCTwAAkM/mzac0aNAms8uAG/366049/vgEZWRYzC4FAACvkJVl1YQJO80uA8A1EHwCAAAHi8Wm9u3nyW43mOLuZ9asOaY6dUbo7Nl0s0sBAMDjzZ69T4mJmWaXAeAaCD4BAIDD999v0K5dZyQxxd0fHThwXrVqDdXhw4lmlwIAgEdjUyPAOxB8AgAASdKBA+fUt+8aSdzE+7OzZzNUu/Zwbdx40uxSAADwSIcOJWrVqqOS+EUx4OkIPgEAgOx2Q2+/PV/Z2TZJ3MT7u4wMixo0GKuZM/eaXQoAAB6HTY0A70HwCQAANGpUtNatO252GfAgNpuhF16YoQEDoswuBQAAj2Gx2BQREWN2GQAKiOATAAA/d+pUij7+eLkkprjjUh99tEydOy+U3c4wYAAAFiz4QwkJbAQIeAuCTwAA/JhhGOrceZFSUrL/99jkguCRhg7dqqefnqycHJvZpQAAYCo2NQK8C8EnAAB+bObMfZo794DZZcALLFp0SPffP0pJSVlmlwIAgCmOH0/WkiWHJPHLYsBbEHwCAOCnLlzI1HvvLZLEqAUUzI4dCbrnnmE6cSLZ7FIAAHC7sWO3E3gCXobgEwAAP9W9e6RjjSpu4lFQJ0+m6O67h2nHjnizSwEAwG1sNrvGjt1udhkACongEwAAP7RyZazGjOHmHUWTkpKt//xnlJYtO2x2KQAAuMXSpYd14kSK2WUAKCSCTwAA/ExGhkUdOsyXxBR3FJ3FYtcTT0zUqFHRZpcCAIDLsakR4J0IPgEA8DN9+qzW4cMXJDHFHdfHMKQOHRaoR4/lMuhMAAAfdfp0qubPz90Mko87wLsQfAIA4Ee2bTutAQOiJDFiAc7z7be/65VXfpPVaje7FAAAnC4iIkY2G4kn4I0IPgEA8BNWq13t289z3LgzYgHONH36Xj366DilpeWYXQoAAE5jtxsaPTp3XXR+aQx4H9ODz1OnTum1115ThQoVVKJECd1zzz3aunWr47hhGOrVq5duvvlmlShRQo0bN9bBgwfznSMxMVGtW7dWmTJlVK5cObVr105paWn52uzcuVMPP/ywihcvrqpVq+q7775zy/sDAMBT/PhjlLZvZyduuM6GDSd1773DlZCQdu3GAAB4gdWrj+rIEZYIAryVqcHnhQsX9NBDDyk4OFiLFy/W3r17NWDAAN14442ONt99951+/vlnDR8+XJs2bVKpUqUUHh6urKwsR5vWrVtrz549ioyM1IIFC7R27Vp16NDBcTwlJUVNmzZVtWrVFB0dre+//169e/fWyJEj3fp+AQAwy6FDifrii9WSGK0A1zp8+IJq1hyqAwfOmV0KAADXjU2NAO9WzMyL9+/fX1WrVtW4ceMcz1WvXt3x34Zh6KefflLPnj317LPPSpImTJigSpUqac6cOXrllVe0b98+LVmyRFu2bFG9evUkSb/88ouefPJJ/fDDD6pSpYomTZqknJwcjR07ViEhIapVq5ZiYmL0448/5gtIAQDwRYZhqEOH+crKsv7vsckFweclJmbq3ntHKDLydTVocKvZ5QAAUCTnzmVo1qx9krh/AryVqcHnvHnzFB4erhdffFFr1qzR3//+d7377rt6++23JUmxsbGKj49X48aNHa8pW7asHnjgAUVFRemVV15RVFSUypUr5wg9Jalx48YKDAzUpk2b9PzzzysqKkqPPPKIQkJCHG3Cw8PVv39/XbhwId8IU0nKzs5Wdna243FKSookyWKxyGKxuOTfApDk6F/0M7gafc2/RETs0KpVRyVJoaEBCgx035CFEiUC8/0N32cYhrKzDWVlWdWwYYTGj39WL71U0+XX5eca3IW+Bnehr5kvImK7cnJsCgiQihf33XsZ7tfgLsWLB+qiCdxuYWrweeTIEQ0bNkzdunXTf//7X23ZskUffPCBQkJC1KZNG8XH565DVqlSpXyvq1SpkuNYfHy8KlasmO94sWLFVL58+XxtLh5JevE54+PjLwk++/Xrpz59+lxS76pVq1SyZMnreMdAwURGRppdAvwEfc33XbhgUdeu+yVJb75ZRc89V/Ear3CNsWPvNuW6MEd2tl0DBhzV5s0pev31OVq1aouefvomt1ybn2twF/oa3IW+Zg7DMDRoUO491Dvv3KInnvibyRW5HvdrcLWMjAy1auXea5oafNrtdtWrV0/ffPONJOm+++7T7t27NXz4cLVp08a0unr06KFu3bo5HqekpKhq1apq1KiRKlSoYFpd8H0Wi0WRkZFq0qSJgoODzS4HPoy+5j9eeWWW0tNzRypMnXpa06a5d3OjEiUCNXbs3WrbdrcyM+1uvTbMZRiGgoIkm00aM+aUDONvGjr0SZeNOObnGtyFvgZ3oa+Za8OGEzp5cockKSLilMaPjzO5Itfhfg3uUrx4jtuvaWrwefPNN6tmzfxTn2rUqKGZM2dKkipXrixJSkhI0M033+xok5CQoHvvvdfR5syZM/nOYbValZiY6Hh95cqVlZCQkK9N3uO8NhcLDQ1VaGjoJc8HBwfzgQO3oK/BXehrvm3OnP2aNSt3pIJhSFlZhiRzFqjKzLRzI+3nxo7doePHUzR/fisVL+66W1B+rsFd6GtwF/qaOcaN2ykpd1MjM++h3In7NbiaYbi/f5m6gMNDDz2kAwcO5Hvujz/+ULVq1STlbnRUuXJlrVixwnE8JSVFmzZtUlhYmCQpLCxMSUlJio6OdrRZuXKl7Ha7HnjgAUebtWvX5lsbJTIyUnfeeecl09wBAPAFyclZ6tx5kSR2IYXnWL48VvXqjVRiYqbZpQAAcEVJSVmaPn2PJDY1ArydqcFn165dtXHjRn3zzTc6dOiQJk+erJEjR6pz586SpICAAHXp0kVfffWV5s2bp127dumNN95QlSpV9Nxzz0nKHSH6xBNP6O2339bmzZv1+++/67333tMrr7yiKlWqSJJatWqlkJAQtWvXTnv27NG0adM0aNCgfNPZAQDwJZ9+ulxxcamSuGGHZ9mz56xq1Rqqo0eTzC4FAIDLmjx5lzIzrWaXAcAJTA0+//Of/2j27NmaMmWK7r77bn355Zf66aef1Lp1a0ebjz/+WO+//746dOig//znP0pLS9OSJUtUvHhxR5tJkybprrvu0uOPP64nn3xSDRo00MiRIx3Hy5Ytq2XLlik2NlZ169bV//3f/6lXr17q0KGDW98vAADusHbtMQ0fHn3thoBJ4uPTdM89wxQd7bvrpQEAvJNhGBo1apskZs0AvsDUNT4l6amnntJTTz11xeMBAQHq27ev+vbte8U25cuX1+TJk696ndq1a2vdunVFrhMAAG+QlWXV22/Pl5R7s85oT3iqtLQc1a8/RrNmvaSnn77T7HIAAJAkbdt2WjExuZtBch8FeD9TR3wCAADn+uqrtfrjj/OSuFmH57Na7Xr22akaPHiz2aUAACBJjPYEfAzBJwAAPmLnzgT17/+7JG7W4T0MQ3r//cXq1m2pDNJ6AICJ0tJyNHnyLkn8AhnwFQSfAAD4AJvNrvbt58lqtUviZh3eZ+DAjWrRYrosFpvZpQAA/NT06XuUmppjdhkAnIjgEwAAH/Dzz5u0ZQsbxcC7zZmzXw8+OFYpKdlmlwIA8ENMcwd8D8EnAABeLjb2gnr2XCWJG3V4v61b41S79jDFxaWaXQoAwI/s3n1GGzeelMTMGcCXEHwCAODFDMNQx44LlZFh+d9jkwsCnODYsWTVqjVUu3cnmF0KAMBPjBoVbXYJAFyA4BMAAC/26687tWzZYbPLAJwuKSlL9eqN0sqVsWaXAgDwcVlZVv36606zywDgAgSfAAB4qTNn0tW161JJUiCf6PBB2dk2NWnyq8aPjzG7FACAD5s5c68uXMgyuwwALlDM7AIAAEDRdOmyRImJmZIku93kYgAXsdsNvfnmXMXGJumLLx5VAAvZFll6eo5OnUrVyZMpOnUqRSdPpuj06TQ99lh1PffcXWaXBwCmydvUKDCQeyrA1xB8AgDghRYu/ENTpuw2uwzAbfr0WaMjRy5o3LhnFRTEEOeLGYahxMTMS0LNvMd5/52UdPnRTL/8sllff/2Y/vvfh91cOQCY748/zmvNmmOSCD0BX0TwCQCAl0lNzVanTgsl5e7izoZG8Be//rpTx48na9Gi1ipZMtjsctzCZrMrISH9ogAzf6iZ93dWlrXQ577458dnn61UmTKheu+9+538DgDAs40Zs83sEgC4EMEnAABe5r//XaETJ1IkEXrC/6xZc0x16ozQ+vVt9be/lTS7nOuSlWVVXNzVR2mePp0qm61w/6PnrQZwrZ8Pfz3+/vuLVbp0iNq0ubdQ1wMAb5WTY1NExA6zywDgQgSfAAB4kQ0bTmjIkC1mlwGY6sCB86pVa4g2bGin224rb3Y5l5WSkp0v0LzcKM1z5zIKfd6ChJrX8wuRt96aq1KlQvTCCzWLfhIA8BLz5x/QmTPpZpcBwIUIPgEA8BLZ2Va1bz9PhsEUd+DMmQzVrj1cK1a8ofr1b3Hbde12Q+fOZVx1lObJkylKS8sp9LkL8v+1q/+/NwzppZdmaNGi1nriidtdezEAMFnepkbcVwG+i+ATAAAv8e2367Vv3zlJ3JwDkpSRYVGDBmM1ffoLevrpf133+SwWm06fTrvqKM24uFTl5NgKdd6iTj03i2FITz01WStXttEjj1QzuxwAcImjR5O0bNlhSZ7z8xeA8xF8AgDgBfbsOaOvv14niVEJwMVsNkMtW87Qd989rjvuuHK79PQcnTqVetVRmgkJaYX+f8vVU8/NYrMZatx4gjZsaKt69f5udjkA4HRjx273yp/PAAqH4BMAAA9ns9nVvv18WSx2Sd4ZogCu9vHHK/TUU3/T6dPbFR+f8ZfRmim6cCGr0Of01VCzoCwWuxo0GKfo6A6qVaui2eUAgNNYrXaNHbvd7DIAuAHBJwAAHm7YsK3auPGk2WUAHm/BgnNasGBxgdp6wnqa3iA726b77x+tHTve0e23VzC7HABwiiVLDunUqVSzywDgBoFmFwAAAK7s+PFk9eixQtKfo88AXCo4OEA1a5ZSUFCAAgtwh0uoWXAZGRbVrTtKx48nmV0KADjFxZsaAfBtBJ8AAHgowzDUqdNCx+7QBDXAlRUrFqBvvvmXQkICZLebXY3vSUnJVt26I5WQkGZ2KQBwXeLiUrVw4R+SuLcC/AHBJwAAHmrq1N1atOig2WUAgCTp3LlM1akzQomJmWaXAgBFFhERI5uNxBPwFwSfAAB4oHPnMvTBB0skSYGBzMMC4Bni4tJUr95IpaRkm10KABSa3W5o9OhtZpcBwI0IPgEA8ED/93/LdO5chqTcm3QA8BSxsUl64IHRysiwmF0KABTKypWxio1NMrsMAG5E8AkAgIdZtuywJkzYYXYZAHBF+/efU4MGY5WdbTW7FAAoMDY1AvwPwScAAB4kLS1H77yzQBI35QA82/bt8Xr88QmyWtlNCoDnO3s2XbNn75PEpkaAPyH4BADAg/TqtUpHjyZJ4qYcgOf7/fcTevLJSSzJAcDjTZiwQxYLv6gB/A3BJwAAHmLz5lMaNGiT2WUAQKFERh7RCy9Ml8FvawB4KMMwmOYO+CmCTwAAPIDFYlP79vNktxvckAPwOrNn79ebb84l/ATgkdavP64DB85LYkYN4G8IPgEA8ADfffe7du06I4kbcgDeacKEHfrgg8VmlwEAl2C0J+C/CD4BADDZ/v3n1LfvWknckAPwboMHb9F//7vC7DIAwOHChUzNmLFXEr9cBvwRwScAACay2w116DBfOTk2SdyQA/B+/fqtV79+68wuAwAkSZMn71JWltXsMgCYhOATAAATjRoVrXXrjptdBgA41X//u1KDB282uwwAfo5NjQAQfAIAYJJTp1L08cfLJXEzDsD3vP/+Yk2YEGN2GQD82NatcdqxI0ESs2oAf0XwCQCACQzD0LvvLlJKSvb/HptcEAC4wJtvztWsWXvNLgOAn2K0JwCCTwAATDBz5j7Nm3fA7DIAwKUMQ3rxxd+0dOkhs0sB4GfS0nI0ZcpuSfyCGfBnBJ8AALjZhQuZeu+9RZIYgQDA99nthpo3n6x1646ZXQoAPzJ16m6lpeWYXQYAkxF8AgDgZt27RyohIV0SIxAA+AebzdDjj09QdHSc2aUA8BNMcwcgEXwCAOBWK1fGasyY7WaXAQBuZ7HY1aDBOO3Zc8bsUgD4uJ07E7R58ylJ/JIZ8HcEnwAAuElGhkUdOsyXxOgDAP4pK8uqBx4YrcOHE80uBYAPGzUq2uwSAHiIYmYXAACAv+jTZ7UOH74gidEHAPxXerpFdeuO1O7d7+qWW8qYXQ7gsbKzrdq6NVlW6x8qVSpUISFBCg0N+t/fxa76OMCPf8OamWnRxIm7zC4DgIcg+AQAwA22bTutAQOiJOWO9iT4BODPkpOzdd99I7Rnz7uqWLGU2eUAHicjw6LGjSdp06ZTkmIL/frg4ECFhARdFIYWU/HiuX8XNDwNDS1Im4I/zvvvwEDXhrIzZ+5TUlKWS68BwHsQfAIA4GJWq13t28+TzWYQegLA/5w7l6H77huhXbs6qXz5EmaXA3gMq9Wul1/+TZs2nVLJkoHKyrLLbi/cOSwWuywWu9LTLa4p8joUKxao4OBARyCbG4peHJJeXyA7fHjuNPfAwADZ7dx0Af6O4BMAABf78ccobd8eL4nQEwAuFheXqnr1RmrHjo4qXTrU7HIA0xmGoU6dFmjBgj8kSZ9//k/17XtEmZmFTD6d7Eoz54tyX2O12mW12pWZaZWUfV11XQ2hJwCJzY0AAHCpQ4cS9cUXqyWxoREAXE5sbJLuv3+0MjI8b2Qa4G69e6/W6NHbJUmhoYGqUeMGkyvKZRiX/+MJAgIu/wcAJIJPAABcxjAMdegwX1lZ1v89NrkgAPBQ+/ef08MPj1N2ttXsUgDTjBixVX37rpWUG9wF8m29QDw5lAVgPn6UAgDgImPHbteqVUfNLgMAvMK2bafVuPGvslrNndILmGHOnP16991FktgEEQCcieATAAAXOH06VR99FClJLt+9FAB8xfr1x9W8+WTW5oNfWb/+uF59dabsdjZBBABnI/gEAMAFPvhgiZKSsiSxuD4AFMayZYf14ovTZZD+wA/s3XtWTz89hWVxAMBFCD4BAHCyOXP267ff9ppdBgB4rVmz9uvNN+cSfsKnnTyZoieemOj4RSkAwPkIPgEAcKLk5Cx17vznGl0AgKKZMGGHPvhgsdllAC5x4UKmmjWbpBMnUswuBQB8GsEnAABO9MknyxUXlyqJ6WoAcL0GD96izz5bYXYZgFNlZVn17LNTtXv3GbNLAQCfR/AJAICTrF17TCNGRJtdBgD4lG++Wa9vv11vdhmAU9hsdrVuPUvr1h03uxQA8AsEnwAAOEFWllVvvz1fElPcAcDZevRYoSFDNptdBnBdDMPQhx8u0axZ+8wuBQD8BsEnAABO8NVXa/XHH+clMcUdAFzhvfcWa8KEHWaXARRZv37rNWTIFklSIN/EAcAt+HELAMB12rkzQf37/y6J0Z4A4EpvvjlHs2czWg7eZ9y47frss5WScu8V7HaTCwIAP0HwCQDAdbDZ7GrXbp6s1txvMIz2BADXMQzphRdmaNmyw2aXAhTYokUH8y2Hw70CALgPwScAANfh5583aevWOLPLAAC/YbcbevLJSVq//pjZpQDXtGnTSb344gzZbAahJwCYgOATAIAiio29oJ49V0liijsAuJPNZuixxyYoOppfPMFz/fHHeTVvPlkZGRZJhJ4AYAaCTwAAisAwDL3zzgK+zACASSwWuxo0GKe9e8+aXQpwidOnUxUePlHnz2eaXQoA+DWCTwAAiuDXX3cqMvKI2WUAgF/LyrLq/vtH6fDhRLNLARxSUrL15JOTdfRoktmlAIDfI/gEAKCQzpxJV9euSyVJgXySAoCp0tMtqldvpE6eTDG7FEDZ2Va1aDFNMTHxZpcCABDBJwAAhdalyxIlJuZOXbPbTS4GAKCkpGzdd98InTmTbnYp8GN2u6E335yrFStizS4FAPA/BJ8AABTCwoV/aMqU3WaXAQD4i3PnMlSnzghduMCaijBH9+7LNHVq7j0Cmx4CgGcwNfjs3bu3AgIC8v256667HMezsrLUuXNnVahQQTfccINatmyphISEfOc4fvy4mjdvrpIlS6pixYrq3r27rFZrvjarV69WnTp1FBoaqttvv10RERHueHsAAB+Tmpqtjh0XSuILDQB4olOnUlWv3iilpmabXQr8zIABG/Tjjxsl5d4jsOkhAHgG00d81qpVS6dPn3b8Wb9+veNY165dNX/+fM2YMUNr1qxRXFycWrRo4Thus9nUvHlz5eTkaMOGDRo/frwiIiLUq1cvR5vY2Fg1b95cjRo1UkxMjLp06aL27dtr6dKlbn2fAADv99//rnCsIccXGgDwTEeOXNADD4xWRobF7FLgJyZN2qmPPoqUJAUGBnCPAAAepJjpBRQrpsqVK1/yfHJyssaMGaPJkyfrsccekySNGzdONWrU0MaNG1W/fn0tW7ZMe/fu1fLly1WpUiXde++9+vLLL/XJJ5+od+/eCgkJ0fDhw1W9enUNGDBAklSjRg2tX79eAwcOVHh4+GVrys7OVnb2n78lTknJ/ZJrsVhksXADBdfJ61/0M7gafa3wDhw4ryFDtkiSQkMDFBjIkM+CKFEiMN/fgKvQ1yDlrrGYnW1o375zevjhsVqz5g2Fhjr3Kw+fobjY8uWxeuutuZKk4OAABQVJAQHO+TnEzzW4C30N7lK8eKCystx7TdODz4MHD6pKlSoqXry4wsLC1K9fP916662Kjo6WxWJR48aNHW3vuusu3XrrrYqKilL9+vUVFRWle+65R5UqVXK0CQ8PV6dOnbRnzx7dd999ioqKyneOvDZdunS5Yk39+vVTnz59Lnl+1apVKlmy5PW/aeAaIiMjzS4BfoK+VnCjRp2UYUj/+U8ZffbZP80ux+uMHXu32SXAT9DXsHdvmnr3Pqxt2+LVpMkIde/+DwUFOf+XVXyG4vDhDH322SFZLHY9/HA5de1azSW/GOXnGtyFvgZXy8jIUKtW7r2mqcHnAw88oIiICN155506ffq0+vTpo4cffli7d+9WfHy8QkJCVK5cuXyvqVSpkuLj4yVJ8fHx+ULPvON5x67WJiUlRZmZmSpRosQldfXo0UPdunVzPE5JSVHVqlXVqFEjVahQ4brfN3AlFotFkZGRatKkiYKDg80uBz6MvlY4aWk5euONXyRJO3ak6tVXd5pckfcoUSJQY8ferbZtdysz0252OfBh9DVczsaNyRo5MlVz577stECKz1BI0uHDF9Shw3hlZdkVGCht2ZKs1q13OfUa/FyDu9DX4C7Fi+e4/ZqmBp/NmjVz/Hft2rX1wAMPqFq1apo+ffplA0l3CQ0NVWho6CXPBwcHc3MDt6CvwV3oawUzbdoOpaTkLoGSk2NIYvGuwsrMtHMjDbegr+Gvli49otat52jGjBcV4MSd6fgM9V9nzqTr6aen6cyZDEmS3S5lZbnu/oCfa3AX+hpczTDc3788agGHcuXK6Y477tChQ4dUuXJl5eTkKCkpKV+bhIQEx5qglStXvmSX97zH12pTpkwZU8NVAIB3MAzDsbYnO7kDgHeaOXOf3nprrgx2ncF1SkvL0VNPTdahQ4lmlwIAKACPCj7T0tJ0+PBh3Xzzzapbt66Cg4O1YsUKx/EDBw7o+PHjCgsLkySFhYVp165dOnPmjKNNZGSkypQpo5o1azraXHyOvDZ55wAA4GrWrTuu3btzP2f4vgwA3mv8+B3q0mWJ2WXAi1ksNr344gxt2RJndikAgAIyNfj86KOPtGbNGh09elQbNmzQ888/r6CgIL366qsqW7as2rVrp27dumnVqlWKjo7WW2+9pbCwMNWvX1+S1LRpU9WsWVOvv/66duzYoaVLl6pnz57q3LmzY6p6x44ddeTIEX388cfav3+/hg4dqunTp6tr165mvnUAgJdgtCcA+I6ff96snj1Xml0GvJBhGGrffr6WLDlkdikAgEIwdY3PkydP6tVXX9X58+d10003qUGDBtq4caNuuukmSdLAgQMVGBioli1bKjs7W+Hh4Ro6dKjj9UFBQVqwYIE6deqksLAwlSpVSm3atFHfvn0dbapXr66FCxeqa9euGjRokG655RaNHj1a4eHhbn+/AADvcvp0qmbN2ieJ0Z4A4Cu+/nqdSpcO0SefNDC7FHiRzz5bqQkTdkjK/WUo9wUA4B1MDT6nTp161ePFixfXkCFDNGTIkCu2qVatmhYtWnTV8zRs2FDbt28vUo0AAP81cmS0rFYWeAcAX/PppytUpkyoOnX6j9mlwAv88ssm9eu3XhKhJwB4G49a4xMAAE9hsdg0YkS02WUAAFzk3XcX6ddfd5hdBjzcjBl79OGHuWvDBgYGEHoCgJch+AQA4DLmzNmv06fTzC4DAOBCbdrM0Zw5+8wuAx5q9eqjeu212TKM3JGedjupJwB4G4JPAAAug02NAMD3GYbUsuUMRUYeNrsUeJidOxP07LNTlZNjk8T0dgDwVgSfAAD8xe7dZ7RmzTFJfNEBAF9ntxtq1mySfv/9uNmlwEMcO5akZs0mKSUl2+xSAADXieATAIC/GDp0i9klAADcyGYz1KjReG3bFmd2KTDZ+fMZeuKJSYqLSzW7FACAExB8AgBwkZSUbP36606zywAAuJnFYtdDD43T3r1nzS4FJsnIsOjpp6do//5zZpcCAHASgk8AAC4yYcIOpaXlmF0GAMAEWVlW3X//KB05kmh2KXAzq9WuV1+dqaiok2aXAgBwIoJPAAD+xzAMxzR3NjUCAP+Unm5R3bqjdOpUitmlwE0Mw9C77y7UvHkHzC4FAOBkBJ8AAPzPqlVHtW9f7vQ2NjUCAP+VlJSl++4boTNn0s0uBW7Qt+8ajRq1TRK/+AQAX0PwCQDA/wwZwmhPAECus2czVKfOCF24kGl2KXChkSOj1bv3Gkm5n//84hMAfAvBJwAAkk6eTNHcufsl8aUHAJDr1KlU/ec/o5Samm12KXCBuXP3q1OnhZIIPQHAVxF8AgAgacSIrbLZ+MYDAMjv8OELql9/jDIzLWaXAif6/ffjeuWVmbLbDUJPAPBhBJ8AAL+Xk2NzrO0FAMBf7d17Vg8/PE45OTazS4ET7Nt3Vk8/PUVZWVZJhJ4A4MsIPgEAfm/mzL1KSGADCwDAlUVHn1bjxhNktdrNLgXX4dSpFIWHT9SFC1lmlwIAcAOCTwCA38vb1CgwkF2NAABXtm7dcT3//HTZ7QwR9EZJSVl64olJOnEixexSAABuUszsAgAAMNOOHfH6/fcTksQXWQDANS1dekQBARXUvDmfGd4kK8uq556bqt27z5hdCgDAjRjxCQDwa3mjPQMY7AkAKKAlS86rZs3hmjx5F1PfvYDNZtfrr8/WmjXHzC4FAOBmTgk+k5KSnHEaAADcKikpS5Mm7ZLExgYAgIIJDg5Q8eKBOnz4glq3nqWqVQdq8ODNyshg13dPZBiGunRZot9+2yuJX3QCgL8pdPDZv39/TZs2zfH4pZdeUoUKFfT3v/9dO3bscGpxAAC4UkREDF9UAQCFUqxYgEaPrqlixXITtPj4NL3//mJVqTJAX321VhcuZJpcIS7Wv//vGjz4z9kd/KITAPxLoYPP4cOHq2rVqpKkyMhIRUZGavHixWrWrJm6d+/u9AIBAHAFu93Q0KFMcwcAFN4NNxRTcHD+D4/k5Gx9/vkqVanyo7p1W6pTp9hAx2wRETHq0WOFpNwNDAk9AcD/FDr4jI+PdwSfCxYs0EsvvaSmTZvq448/1pYtW5xeIAAArrB8+REdPJgoidEfAADnycqyauDAjapW7Se9+eYcHThwzuyS/NLixQfVvv08Sbm/4GQDQwDwT4UOPm+88UadOJG7++2SJUvUuHFjSblrp9hsNudWBwCAi7CpEQDAlWw2Q+PH71CNGkP09NOTtWXLKbNL8hubN5/SCy/MkM1mML0dAPxcoYPPFi1aqFWrVmrSpInOnz+vZs2aSZK2b9+u22+/3ekFAgDgbMeOJWnBgj8k8WUIAOBahiEtWHBQ998/Wg89NFaRkYdl8OHjMgcPnlfz5pMda3jzTw0A/q3QwefAgQP13nvvqWbNmoqMjNQNN9wgSTp9+rTeffddpxcIAICzDR++lSlvAAC327DhhJo2nahatYZq+vQ9stnsZpfkU+Lj0xQePlHnzmWYXQoAwEMUK+wLgoOD9dFHH13yfNeuXZ1SEAAArpSVZdXo0dvNLgMA4Mf27Tunl1/+TbfcUkaff/6I3njj3ypevNBfzXCRlJRsPfnkJMXGJpldCgDAgxR4xOe7776rtLQ0x+MpU6YoPT3d8TgpKUlPPvmkc6sDAMDJZszYw0gQAIBHOHkyRe+8s0BVqgzQt9+uV3JyltkleaWcHJtatpyu7dvjzS4FAOBhChx8jhgxQhkZf35RfOedd5SQkOB4nJ2draVLlzq3OgAAnCxvU6PAQHY1AgB4hgsXstSjxwrdfPMAffJJpOLj0679IkjK3a39rbfmavnyI2aXAgDwQAUOPv+6ADcLcgMAvE10dJw2bcrdVZc1PgEAniYz06rvvtugqlUH6u235+nw4USzS/J4H38cqcmTd0mSAvidJgDgLwq9uREAAN4qb7QnX4wAAJ7MarVr9Ojt+te/flGLFtO0fftps0vySD/+GKUBA6Ik5X62MzYHAPBXBJ8AAL9w/nyGpkzZLYkvRgAA72AY0uzZ+1Wnzkg1bBihVatimXn3P1Om7NL//d8ySVJgIJ/tAIDLK9TWgb169VLJkiUlSTk5Ofr6669VtmxZScq3/icAAJ5m3LgYZWVZzS4DAIAiWbPmmB57bIJq166k3r0f1bPP3uW361UvX35EbdrMkZQ70tNuN7ceAIDnKnDw+cgjj+jAgQOOxw8++KCOHDlySRsAADyN3W5o2LCtkpgKBwDwbjt3JqhFi+mqVq2svvjiUbVuXVshIUFml+U227ef1vPPT5PFYuczHQBwTQUOPlevXu3CMgAAcJ2lSw/pyJELkviCBADwDceOJatt23n6+OPl+vTTh9ShQ12VLh1qdlkuFRt7Qc2aTVJaWo4kPtMBANdW4DU+P/roI+3fv9+VtQAA4BJsagQA8FXnzmXoo48idfPNA9Sz50qdPZtudkkucfZsusLDJyohwTffHwDANQocfM6dO1e1atXSgw8+qLFjxyo9nQ8cAIDni429oEWLDkpiZAgAwHelp1v09dfrdMstP+rddxfq6NEks0tymvT0HDVvPlkHDyaaXQoAwMsUOPg8ePCgVq1apTvuuEMffvihKleurLZt22rDhg2urA8AgOsybNhWAk8AgN/IybFr2LCtuu22n/XKK79p164Es0u6LhaLTS+99Ju2bIkzuxQAgBcqcPAp5W5eFBERofj4eA0aNEgHDx5UgwYNVKNGDf3www9KSPDuD1UAgG/JzLRozJjtZpcBAIDb2e2Gpk3bo9q1h6tp01+1fv1xs0sqNMMw1KHDAsfMDQAACqtQwWeeUqVKqW3btlq3bp3++OMPtWjRQv369dOtt97q7PoAACiyadP2KDEx0+wyAAAwVWTkET388DjVqzdSCxb8IbvdO6ZC9Oy5UhERMZJYpxsAUDRFCj7zpKena926dVqzZo0uXLigf/7zn86qCwCA68amRgAA/Ck6+rSefnqK7rjjF/366w5ZLDazS7qiwYM365tv1kvK/Rxn2RoAQFEUKfhcv3692rZtq5tvvlkffPCB7rjjDq1bt0779u1zdn0AABTJ5s2ntHVr7npgfFkCAOBPhw9f0BtvzFHVqgP188+blJFhMbukfH77ba8++GCxJCkwkM9xAEDRFTj4PH36tL799lvdddddeuSRR7R//379+OOPOn36tMaOHauHHnrIlXUCAFAojPYEAODqEhLS9eGHS3TzzQPUp89qj1geZs2ao2rdepYMI/cz3G43uyIAgDcrVtCGVatWVYUKFfT666+rXbt2qlGjhivrAgCgyM6dy9C0abslMUoEAIBrSUnJVu/ea9Sv33q98049de/+oG65pYzb69i1K0HPPjtVOTm5U/D5DAcAXK8Cj/icPn26Tp06pR9++IHQEwDg0caM2absbM9dtwwAAE+UnW3Tzz9v0j/+8ZNef3229u0767ZrHz+erGbNJik5Odtt1wQA+L4CB5/169fXp59+qpSUlEuOJScnq3v37kpISHBqcQAAFJbNZtewYVslMc0dAICisNkMTZy4UzVrDlXz5pO0adNJl14vMTFTTzwxUadOpbr0OgAA/1Pg4PPHH39USkqKypS5dMpD2bJllZqaqh9//NGpxQEAUFiLFh3UsWPJkpgiBwDA9Vq06JDq1x+jsLAxWrr0kAwnf7hmZlr09NNTtG/fOaeeFwAAqRDB55IlS/TGG29c8fgbb7yhBQsWOKUoAACKik2NAABwvo0bT+qJJyapZs2hmjp1t6zW6991yGq169VXZ2rDhhNOqBAAgEsVOPiMjY3VrbfeesXjt9xyi44ePeqMmgAAKJKDB89r6dLDkhjtCQCAK+zff06vvjpT1ar9pOHDtyoz01Kk8xiGoc6dF2ru3ANOrhAAgD8VOPgsUaLEVYPNo0ePqkSJEs6oCQCAIslb2xMAALhWXFyqOnVaqCpVftQ336xTUlJWoV7/5ZdrNXLkNklSYIG/lQIAUDgF/oh54IEH9Ouvv17x+IQJE3T//fc7pSgAAAorI8OiceNizC4DAAC/kpSUpc8+W6mbbx6g7t2X6fTpa29QNGpUtL74YrWk3KVp7Nc/ax4AgMsqcPD50Ucfady4cfroo4/y7d6ekJCg//u//1NERIQ++ugjlxQJAMC1TJ68q9CjTQAAgHNkZVn1ww9RuvXWgWrbdq4OHjx/2Xbz5h1Qx44LJeWGnixNAwBwpQIHn40aNdKQIUM0ePBgValSRTfeeKPKly+vKlWqaMiQIfrll1/02GOPubJWAAAuyzAMNjUCAMADWK2Gxo2L0Z13DtZzz01VdHSc49iGDSf08su/yW43CD0BAG5RrDCN33nnHT311FOaPn26Dh06JMMwdMcdd+iFF17QLbfc4qoaAQC4qqiok4qJiZfElygAADyBYUhz5x7Q3LkH9PDDt+rtt+uoS5elysqyOo4DAOBqhQo+Jenvf/+7unbt6opaAAAokotHe/JFCgAAz7Ju3XGtW3fc7DIAAH6I/fMAAF4tISFNM2bskUToCQAAAAD4E8EnAMCrjR69TRYL28ECAAAAAPIj+AQAeC2r1a7hw6PNLgMAAAAA4IEIPgEAXmv+/AM6eTLF7DIAAAAAAB6o0MFnr169tGrVKmVlZbmiHgAACuziTY0AAAAAALhYoYPPqKgoPf300ypXrpwefvhh9ezZU8uXL1dmZqYr6gMA4LL27z+nFStiJbGpEQAAAADgUoUOPiMjI5WUlKQVK1boySef1NatW9WiRQuVK1dODRo0cEWNAABcYujQLWaXAAAAAADwYMWK9KJixfTQQw/ppptuUvny5VW6dGnNmTNH+/fvd3Z9AABcIi0tR+PH7zC7DAAAAACAByv0iM+RI0eqVatW+vvf/64HH3xQS5YsUYMGDbR161adPXvWFTUCAJDPxIk7lZKSbXYZAAAAAAAPVujgs2PHjlqxYoU+/PBDHT16VLNnz9aHH36of//73wq4jt0lvv32WwUEBKhLly6O57KystS5c2dVqFBBN9xwg1q2bKmEhIR8rzt+/LiaN2+ukiVLqmLFiurevbusVmu+NqtXr1adOnUUGhqq22+/XREREUWuEwBgLsMw2NQIAAAAAHBNhQ4+Z82apdatW2vq1Km66aab9OCDD+q///2vli1bpoyMjCIVsWXLFo0YMUK1a9fO93zXrl01f/58zZgxQ2vWrFFcXJxatGjhOG6z2dS8eXPl5ORow4YNGj9+vCIiItSrVy9Hm9jYWDVv3lyNGjVSTEyMunTpovbt22vp0qVFqhUAYK51645r9+4zktjUCAAAAABwZYVe4/O5557Tc889J0lKTk7WunXrNGPGDD311FMKDAxUVlZWoc6Xlpam1q1ba9SoUfrqq68czycnJ2vMmDGaPHmyHnvsMUnSuHHjVKNGDW3cuFH169fXsmXLtHfvXi1fvlyVKlXSvffeqy+//FKffPKJevfurZCQEA0fPlzVq1fXgAEDJEk1atTQ+vXrNXDgQIWHhxf27QMATHbxaE+CTwAAAADAlRRpc6Pz589rzZo1Wr16tVavXq09e/boxhtv1MMPP1zoc3Xu3FnNmzdX48aN8wWf0dHRslgsaty4seO5u+66S7feequioqJUv359RUVF6Z577lGlSpUcbcLDw9WpUyft2bNH9913n6KiovKdI6/NxVPq/yo7O1vZ2X+uHZeSkiJJslgsslgshX6PQEHl9S/6GVzNW/va6dNpmjVrnyQpJCRAgYHMdfd0JUoE5vsbcBX6GtyFvgZ3oa/BXehrcJfixQNVyPGS163Qwec999yjffv26cYbb9Qjjzyit99+W48++ugl09QLYurUqdq2bZu2bNlyybH4+HiFhISoXLly+Z6vVKmS4uPjHW0uDj3zjucdu1qblJQUZWZmqkSJEpdcu1+/furTp88lz69atUolS5Ys+BsEiigyMtLsEuAnvK2vTZ0aL6vVrho1Sqlfv3+ZXQ4KYezYu80uAX6CvgZ3oa/BXehrcBf6GlwtIyNDrVq595qFDj47duyoRx99VHfffX3/Q5w4cUIffvihIiMjVbx48es6l7P16NFD3bp1czxOSUlR1apV1ahRI1WoUMHEyuDrLBaLIiMj1aRJEwUHB5tdDnyYN/Y1i8WmTp2GSJIOH87Qq6/uNLkiFESJEoEaO/ZutW27W5mZdrPLgQ+jr8Fd6GtwF/oa3IW+BncpXjzH7dcsdPDZuXNnSVJOTo5iY2N12223qVixws+Yj46O1pkzZ1SnTh3HczabTWvXrtXgwYO1dOlS5eTkKCkpKd+oz4SEBFWuXFmSVLlyZW3evDnfefN2fb+4zV93gk9ISFCZMmUuO9pTkkJDQxUaGnrJ88HBwV4TEMC70dfgLt7U1+bM+UOnT6dJknJyDEks8OlNMjPt3EjDLehrcBf6GtyFvgZ3oa/B1QzD/f2r0As4ZGZmql27dipZsqRq1aql48ePS5Lef/99ffvttwU+z+OPP65du3YpJibG8adevXpq3bq147+Dg4O1YsUKx2sOHDig48ePKywsTJIUFhamXbt26cyZM442kZGRKlOmjGrWrOloc/E58trknQMA4B0u3tQIAAAAAIBrKXTw+emnn2rHjh1avXp1vinqjRs31rRp0wp8ntKlS+vuu+/O96dUqVKqUKGC7r77bpUtW1bt2rVTt27dtGrVKkVHR+utt95SWFiY6tevL0lq2rSpatasqddff107duzQ0qVL1bNnT3Xu3NkxYrNjx446cuSIPv74Y+3fv19Dhw7V9OnT1bVr18K+dQCASXbvPqM1a45JYid3AAAAAEDBFHqO+pw5czRt2jTVr19fARcNu6lVq5YOHz7s1OIGDhyowMBAtWzZUtnZ2QoPD9fQoUMdx4OCgrRgwQJ16tRJYWFhKlWqlNq0aaO+ffs62lSvXl0LFy5U165dNWjQIN1yyy0aPXq0wsPDnVorAMB1hg69dBM8AAAAAACuptDB59mzZ1WxYsVLnk9PT88XhBbF6tWr8z0uXry4hgwZoiFDhlzxNdWqVdOiRYuuet6GDRtq+/bt11UbAMAcKSnZ+vVXNjICAAAAABROoae616tXTwsXLnQ8zgs7R48ezbqZAACnmzBhh9LS3L/7HwAAAADAuxV6xOc333yjZs2aae/evbJarRo0aJD27t2rDRs2aM2aNa6oEQDgpwzDcExzDwhgfU8AAAAAQMEVesRngwYNFBMTI6vVqnvuuUfLli1TxYoVFRUVpbp167qiRgCAn1q16qj27TsnidATAAAAAFA4hR7xKUm33XabRo0a5exaAADIZ8gQRnsCAAAAAIqm0CM+AQBwh5MnUzR37n5JhJ4AAAAAgMIr8IjPwMDAa+7aHhAQIKvVet1FAQAwYsRW2WwkngAAAACAoilw8Dl79uwrHouKitLPP/8su93ulKIAAP4tJ8emUaO2mV0GAAAAAMCLFTj4fPbZZy957sCBA/r00081f/58tW7dWn379nVqcQAA/zRz5l4lJKSbXQYAAAAAwIsVaY3PuLg4vf3227rnnntktVoVExOj8ePHq1q1as6uDwDgh/I2NQoMvPoSKwAAAAAAXEmhgs/k5GR98sknuv3227Vnzx6tWLFC8+fP19133+2q+gAAfmbHjnj9/vsJSZLdzhqfAAAAAICiKfBU9++++079+/dX5cqVNWXKlMtOfQcA4HrljfYMCGA3dwAAAABA0RU4+Pz0009VokQJ3X777Ro/frzGjx9/2XazZs1yWnEAAP+SlJSlSZN2SSL0BAAAAABcnwIHn2+88YYCAlhrDQDgOhERMcrIsJhdBgAAAADABxQ4+IyIiHBhGQAAf2e3Gxo6lGnuAAAAAADnKNKu7gAAONvy5Ud08GCiJEJPAAAAAMD1I/gEAHiEizc1AgAAAADgehF8AgBMd+xYkhYs+EMSoz0BAAAAAM5B8AkAMN3w4Vtlt5N4AgAAAACch+ATAGCqrCyrRo/ebnYZAAAAAAAfQ/AJADDVjBl7dO5chtllAAAAAAB8DMEnAMBUeZsaBfKJBAAAAABwIr5mAgBMEx0dp02bTkmS7HaTiwEAAAAA+BSCTwCAafJGewYEmFwIAAAAAMDnEHwCAExx/nyGpkzZLUky2NAdAAAAAOBkBJ8AAFOMGxejrCyr2WUAAAAAAHwUwScAwO3sdkPDhm2VxDR3AAAAAIBrEHwCANxuyZJDOnLkgiSmuQMAAAAAXIPgEwDgdmxqBAAAAABwNYJPAIBbHTlyQYsXH5TEaE8AAAAAgOsQfAIA3GrYsC0EngAAAAAAlyP4BAC4TWamRWPHxphdBgAAAADADxB8AgDcZurU3UpMzDS7DAAAAACAHyD4BAC4hWEYbGoEAAAAAHAbgk8AgFts3nxK0dGnJbGpEQAAAADA9Qg+AQBuwWhPAAAAAIA7EXwCAFzu7Nl0TZu2RxKjPQEAAAAA7kHwCQBwuTFjtisnx2Z2GQAAAAAAP0LwCQBwKZvNruHDt0pimjsAAAAAwH0IPgEALrVw4UEdO5YsiWnuAAAAAAD3IfgEALgUmxoBAAAAAMxA8AkAcJk//jivZcsOS2K0JwAAAADAvQg+AQAuM2zYFrNLAAAAAAD4KYJPAIBLpKfnaNy4GLPLAAAAAAD4KYJPAIBLTJ68S8nJ2WaXAQAAAADwUwSfAACnMwyDTY0AAAAAAKYi+AQAON2GDSe0Y0eCJDY1AgAAAACYg+ATAOB0jPYEAAAAAJiN4BMA4FQJCWn67be9khjtCQAAAAAwD8EnAMCpRo3aJovFbnYZAAAAAAA/R/AJAHAaq9WuESOizS4DAAAAAACCTwCA88ybd0AnT6aYXQYAAAAAAASfAADnYVMjAAAAAICnIPgEADjFvn1ntXJlrCQ2NQIAAAAAmI/gEwDgFEOHbjG7BAAAAAAAHAg+AQDXLTU1W+PH7zC7DAAAAAAAHAg+AQDXbeLEnUpNzTG7DAAAAAAAHAg+AQDXxTAMNjUCAAAAAHgcgk8AwHVZu/aY9uw5K4lNjQAAAAAAnoPgEwBwXRjtCQAAAADwRASfAIAii4tL1ezZ+yUx2hMAAAAA4FkIPgEARTZyZLSsVrvZZQAAAAAAcAmCTwBAkVgsNo0cGW12GQAAAAAAXJapweewYcNUu3ZtlSlTRmXKlFFYWJgWL17sOJ6VlaXOnTurQoUKuuGGG9SyZUslJCTkO8fx48fVvHlzlSxZUhUrVlT37t1ltVrztVm9erXq1Kmj0NBQ3X777YqIiHDH2wMAnzZ79n6dPp1mdhkAAAAAAFyWqcHnLbfcom+//VbR0dHaunWrHnvsMT377LPas2ePJKlr166aP3++ZsyYoTVr1iguLk4tWrRwvN5ms6l58+bKycnRhg0bNH78eEVERKhXr16ONrGxsWrevLkaNWqkmJgYdenSRe3bt9fSpUvd/n4BwJewqREAAAAAwJMVM/PiTz/9dL7HX3/9tYYNG6aNGzfqlltu0ZgxYzR58mQ99thjkqRx48apRo0a2rhxo+rXr69ly5Zp7969Wr58uSpVqqR7771XX375pT755BP17t1bISEhGj58uKpXr64BAwZIkmrUqKH169dr4MCBCg8Pd/t7BgBfsGtXgtauPSaJTY0AAAAAAJ7J1ODzYjabTTNmzFB6errCwsIUHR0ti8Wixo0bO9rcdddduvXWWxUVFaX69esrKipK99xzjypVquRoEx4erk6dOmnPnj267777FBUVle8ceW26dOlyxVqys7OVnZ3teJySkiJJslgsslgsTnrHwKXy+hf9DK52vX1t8OBNkqSgICkkhOWicWUlSgTm+xtwFfoa3IW+Bnehr8Fd6Gtwl+LFA5WV5d5rmh587tq1S2FhYcrKytINN9yg2bNnq2bNmoqJiVFISIjKlSuXr32lSpUUHx8vSYqPj88XeuYdzzt2tTYpKSnKzMxUiRIlLqmpX79+6tOnzyXPr1q1SiVLlizyewUKKjIy0uwS4CeK0tfS022aMCF3SZLevW/TPfeUdnZZ8EFjx95tdgnwE/Q1uAt9De5CX4O70NfgahkZGWrVyr3XND34vPPOOxUTE6Pk5GT99ttvatOmjdasWWNqTT169FC3bt0cj1NSUlS1alU1atRIFSpUMLEy+DqLxaLIyEg1adJEwcHBZpcDH3Y9fW3IkC3KytqlgADp66+PKIBFPnEVJUoEauzYu9W27W5lZtrNLgc+jL4Gd6GvwV3oa3AX+hrcpXjxHLdf0/TgMyQkRLfffrskqW7dutqyZYsGDRqkl19+WTk5OUpKSso36jMhIUGVK1eWJFWuXFmbN2/Od768Xd8vbvPXneATEhJUpkyZy472lKTQ0FCFhoZe8nxwcDBhFNyCvgZ3KWxfMwxDI0ZsdzzOyjIkscgnri0z086NNNyCvgZ3oa/BXehrcBf6GlzNMNzfvzxuAQe73a7s7GzVrVtXwcHBWrFihePYgQMHdPz4cYWFhUmSwsLCtGvXLp05c8bRJjIyUmXKlFHNmjUdbS4+R16bvHMAAApu5cpY7d9/ThKbGgEAAAAAPJupIz579OihZs2a6dZbb1VqaqomT56s1atXa+nSpSpbtqzatWunbt26qXz58ipTpozef/99hYWFqX79+pKkpk2bqmbNmnr99df13XffKT4+Xj179lTnzp0dIzY7duyowYMH6+OPP1bbtm21cuVKTZ8+XQsXLjTzrQOAVxoyZIskKSCA4BMAAAAA4NlMDT7PnDmjN954Q6dPn1bZsmVVu3ZtLV26VE2aNJEkDRw4UIGBgWrZsqWys7MVHh6uoUOHOl4fFBSkBQsWqFOnTgoLC1OpUqXUpk0b9e3b19GmevXqWrhwobp27apBgwbplltu0ejRoxUeHu729wsA3uzEiWTNnXtAEqEnAAAAAMDzmRp8jhkz5qrHixcvriFDhmjIkCFXbFOtWjUtWrToqudp2LChtm/fftU2AICrGzEiWnY7iScAAAAAwDt43BqfAADPk51t1ahR28wuAwAAAACAAiP4BABc08yZ+3TmTLrZZQAAAAAAUGAEnwCAa8rb1CiQTw0AAAAAgJfgKywA4KpiYuK1YcMJSZLdbnIxAAAAAAAUEMEnAOCqhgzZLEkKCDC5EAAAAAAACoHgEwBwRRcuZGrSpF2SJIMN3QEAAAAAXoTgEwBwRRERMcrMtJpdBgAAAAAAhUbwCQC4LLvd0NChWyUxzR0AAAAA4H0IPgEAlxUZeViHDiVKYpo7AAAAAMD7EHwCAC5ryJAtkhjtCQAAAADwTgSfAIBLHD2apAUL/pDEaE8AAAAAgHci+AQAXGL48K0EngAAAAAAr0bwCQDIJyvLqtGjt5ldBgAAAAAA14XgEwCQz/Tpe3T+fKbZZQAAAAAAcF0IPgEA+bCpEQAAAADAFxB8AgActm6N0+bNpySxqREAAAAAwLsRfAIAHBjtCQAAAADwFQSfAABJ0vnzGZo6dbckRnsCAAAAALwfwScAQJI0dux2ZWVZzS4DAAAAAACnIPgEAMhms2vYsK2SmOYOAAAAAPANBJ8AAC1ZckixsUmSmOYOAAAAAPANBJ8AADY1AgAAAAD4HIJPAPBzhw8nasmSQ5IY7QkAAAAA8B0EnwDg54YN20rgCQAAAADwOQSfAODHMjIsGjt2u9llAAAAAADgdASfAODHpk/fqwsXsswuAwAAAAAApyP4BAA/ZRiGhg2LlsSmRgAAAAAA30PwCQB+6o8/MrR9e7wkNjUCAAAAAPgegk8A8FOLFp2TxGhPAAAAAIBvIvgEAD905ky6fv89SRKjPQEAAAAAvongEwD8jGEY+vbb32W1Goz2BAAAAAD4LIJPAPAjVqtdHTrM1+DBWyVJISEknwAAAAAA30TwCQB+Ii0tR888M0WjR2+XJL3zzi0KDCT4BAAAAAD4JoJPAPAD8fFpevTRCC1efEiSFBoaqGbN/mZyVQAAAAAAuE4xswsAALjW/v3n1KzZJB09muR4LpBfewEAAAAAfBzBJwD4sHXrjunZZ6fqwoUss0sBAAAAAMCtGPMDAD5qxow9atLkV0JPAAAAAIBfIvgEAB9jGIZ+/DFKL730m7KzbWaXAwAAAACAKZjqDgA+xGazq1u3pfr5582SpIAAyTBMLgoAAAAAABMQfAKAj8jMtOi112Zr1qx9kqTAwADZ7aSeAAAAAAD/RPAJAD7g3LkMPfvsVG3YcEJS7khPQk8AAAAAgD8j+AQAL3fkyAU98cREHTyY6HiO6e0AAAAAAH9H8AkAXmzLllN66qkpOnMm3exSAAAAAADwKOzqDgBeasGCP9Sw4XhCTwAAAAAALoPgEwC80PDhW/Xss1OVkWExuxQAAAAAADwSwScAeBG73VCPHsvVqdNC2e2GAgLMrggAAAAAAM/EGp8A4CVycmxq23auJk3aJUkKDAxg53YAAAAAAK6A4BMAvEBSUpZatJimVauOSpICAkToCQAAAADAVRB8AoCHO3EiWU8+OVm7d5+RlBt6GmSeAAAAAABcFcEnAHiwnTsT9OSTk3TqVKrjOUJPAAAAAACujeATADzU8uVH1KLFNKWm5phdCgAAAAAAXodd3QHAA02YsEPNmk0i9AQAAAAAoIgIPgEPkpqarX370mSz2c0uBSYxDENffbVWbdrMkdVqV0CA2RUBAAAAAOCdCD4BD5CQkKbPPluh224brB49Dunee0fp99+Pm10W3MxqtatDh/n6/PNVktjECAAAAACA68Ean4CJDh1K1A8/bFBERIyys22SpMBA6cCB82rQYJxatqyhn39upipVSptcKVwtLS1HL700Q4sXH5JE6AkAAAAAwPVixCdggujoOL300gzdeedgjRgR7Qg9Q0ICNHZsLQUF5babOXOfqlcfpG++WafsbKuJFcOV4uPT9OijEYSeAAAAAAA4EcEn4CaGYSgy8rAaN56gevVGacaMvbLb86dbQUEBKlcuWCEhf/6vmZNj02efrdRtt/2sxYsPurtsuNj+/ecUFjZG27addjxH6AkAAAAAwPUj+ARczGq1a+rU3apbd6SaNp2oFStiJanQm9acOpWqJ5+crMcfH69DhxJdUCncbd26Y3rwwTE6ejTJ7FIAAAAAAPA5BJ+Ai2RmWjR06BbdeedgvfrqTG3fHi/pz8CzqKP6Vq48qrvuGqzu3SOVlpbjpGrhbjNm7FGTJr/qwoUss0sBAAAAAMAnEXwCTpaYmKkvv1yjatV+UufOi3TkyAVJuZsWSc6ZxmyzGfrhhw2qVu0nTZ68SwZzo73KwIFRevnl3xxruwIAAAAAAOcj+ASc5MSJZHXtukS33jpQvXqt1tmzGZL+HOFptzv/momJmWrdepb+859R2rEj3vkXgFPZbHZ16bJE3botk2EUfrkDAAAAAABQcMXMLgDwdrt3n9H332/Q5Mm7ZLX+mW7m7cztjsGY0dGndd99I/TWW/fpu+8aq0KFkq6/KAolM9Oi116brVmz9kmSAgMDLtncCgAAAAAAOI+pIz779eun//znPypdurQqVqyo5557TgcOHMjXJisrS507d1aFChV0ww03qGXLlkpISMjX5vjx42revLlKliypihUrqnv37rJarfnarF69WnXq1FFoaKhuv/12RUREuPrtwYcZhqF1647pqacm6557hmnChB35Qs/cNu6uSRo7druqVftJQ4dukc3mgiGmKJJz5zLUuPGvjtAzIECEngAAAAAAuJipweeaNWvUuXNnbdy4UZGRkbJYLGratKnS09Mdbbp27ar58+drxowZWrNmjeLi4tSiRQvHcZvNpubNmysnJ0cbNmzQ+PHjFRERoV69ejnaxMbGqnnz5mrUqJFiYmLUpUsXtW/fXkuXLnXr+4X3s9sNzZ27Xw89NFaPPBKhhQsPml3SJdLTLerceZFq1Bii9euPm12O3zty5IIefHCMNmw44XiOJVkBAAAAAHA9U6e6L1myJN/jiIgIVaxYUdHR0XrkkUeUnJysMWPGaPLkyXrsscckSePGjVONGjW0ceNG1a9fX8uWLdPevXu1fPlyVapUSffee6++/PJLffLJJ+rdu7dCQkI0fPhwVa9eXQMGDJAk1ahRQ+vXr9fAgQMVHh7u9vcN75OTY9PEiTv1/fcbtH//OcfzedPZPdHBg4l6+OFxev75u/TLL83097+XMbskv7Nlyyk99dQUnTmTfu3GAAAAAADAqTxqjc/k5GRJUvny5SVJ0dHRslgsaty4saPNXXfdpVtvvVVRUVGqX7++oqKidM8996hSpUqONuHh4erUqZP27Nmj++67T1FRUfnOkdemS5cul60jOztb2dnZjscpKSmSJIvFIovF4pT3Cu+QkpKt0aO36+efNysuLs3xfEhIgAIDpQAn705TokRgvr+LyjAMWSyGbDZp9uz9WrjwoD77rIG6dXtAoaEe9b+9z1q48KBat56jjAyLAgKk0NAAp/eX6+GsvgZcC30N7kJfg7vQ1+Au9DW4C30N7lK8eKCystx7TY9JQOx2u7p06aKHHnpId999tyQpPj5eISEhKleuXL62lSpVUnx8vKPNxaFn3vG8Y1drk5KSoszMTJUoUSLfsX79+qlPnz6X1Lhq1SqVLMmmMf4gKcmi+fPPavHic8rIyF0rs3z5YD3zzE1q2rSCSpYMcun1x4692ynnOXw4Q6NGndL+/en64os1Gj48Su3a/V316pV1yvlxeUuWnNPIkSdlt0t16pRW9+7/UIkSru0zReWsvgZcC30N7kJfg7vQ1+Au9DW4C30NrpaRkaFWrdx7TY8JPjt37qzdu3dr/fr1ZpeiHj16qFu3bo7HKSkpqlq1qho1aqQKFSqYWBlc7eDBRA0cuFG//rpf2dk2SbnT2YODA5SRYdW0afGaNi3eZdcvUSJQY8ferbZtdysz0zmbExmGoeDgAFmthk6fztFXX8WqYcNqGjKkmf71r/JOuQZyGYahzz9fo+HDT0qSihUL0N69aWrbdo/JlV3KFX0NuBz6GtyFvgZ3oa/BXehrcBf6GtylePEct1/TI4LP9957TwsWLNDatWt1yy23OJ6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"text/plain": [ "
" ] @@ -355,10 +360,10 @@ "id": "endless-cylinder", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:30.962895Z", - "iopub.status.busy": "2024-09-13T08:21:30.962389Z", - "iopub.status.idle": "2024-09-13T08:21:31.151602Z", - "shell.execute_reply": "2024-09-13T08:21:31.150955Z" + "iopub.execute_input": "2025-03-03T16:22:42.394299Z", + "iopub.status.busy": "2025-03-03T16:22:42.394095Z", + "iopub.status.idle": "2025-03-03T16:22:42.577928Z", + "shell.execute_reply": "2025-03-03T16:22:42.577252Z" }, "tags": [ "remove-input" @@ -367,7 +372,7 @@ "outputs": [ { "data": { - "image/png": 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", "text/plain": [ "
" ] @@ -403,10 +408,10 @@ "id": "common-louis", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:31.154100Z", - "iopub.status.busy": "2024-09-13T08:21:31.153621Z", - "iopub.status.idle": "2024-09-13T08:21:31.384984Z", - "shell.execute_reply": "2024-09-13T08:21:31.384394Z" + "iopub.execute_input": "2025-03-03T16:22:42.579925Z", + "iopub.status.busy": "2025-03-03T16:22:42.579726Z", + "iopub.status.idle": "2025-03-03T16:22:42.767403Z", + "shell.execute_reply": "2025-03-03T16:22:42.766800Z" }, "tags": [ "remove-input" @@ -415,7 +420,7 @@ "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -451,10 +456,10 @@ "id": "smooth-stupid", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:31.387137Z", - "iopub.status.busy": "2024-09-13T08:21:31.386951Z", - "iopub.status.idle": "2024-09-13T08:21:31.675163Z", - "shell.execute_reply": "2024-09-13T08:21:31.674605Z" + "iopub.execute_input": "2025-03-03T16:22:42.769189Z", + "iopub.status.busy": "2025-03-03T16:22:42.769005Z", + "iopub.status.idle": "2025-03-03T16:22:42.978834Z", + "shell.execute_reply": "2025-03-03T16:22:42.978311Z" }, "tags": [ "remove-input" @@ -463,7 +468,7 @@ "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -498,10 +503,10 @@ "id": "0652f359", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:31.677498Z", - "iopub.status.busy": "2024-09-13T08:21:31.677159Z", - "iopub.status.idle": "2024-09-13T08:21:31.841879Z", - "shell.execute_reply": "2024-09-13T08:21:31.841334Z" + "iopub.execute_input": "2025-03-03T16:22:42.980649Z", + "iopub.status.busy": "2025-03-03T16:22:42.980470Z", + "iopub.status.idle": "2025-03-03T16:22:43.129386Z", + "shell.execute_reply": "2025-03-03T16:22:43.128803Z" }, "tags": [ "remove-input" @@ -510,7 +515,7 @@ "outputs": [ { "data": { - "image/png": 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nn+y444659tprV7vv+PHjc8ghh2T27Nnp0KFDkmT06NE555xz8uabb6Z58+Yf6jtrampSUVGR6urqlJeXr61DAQAAAIBPhQ/b1z4x94xcsWJFbr/99ixatChVVVV162+77bZsuumm6d27d0aOHJl33323btuUKVOy/fbb14XIJBkwYEBqamrywgsvrPG7lixZkpqamnoLAAAAALBulfQy7SR57rnnUlVVlcWLF2ejjTbK3XffnV69eiVJjj322HTr1i2dOnXKs88+m3POOSfTp0/PXXfdlSSZO3duvRCZpO713Llz1/ido0aNysUXX7yOjggAAAAAWJ2Sx8htttkm06ZNS3V1de68884MHTo0kydPTq9evXLqqafW7bf99tunY8eO2X///TNjxoz06NGjwd85cuTIjBgxou51TU1NunTp8rGOAwAAAAB4fyW/TLt58+bZcsst07dv34waNSo77LBDrrvuutXu269fvyTJyy+/nCSprKzMvHnz6u3z3uvKyso1fmeLFi3qnuD93gIAAAAArFslj5H/aeXKlVmyZMlqt02bNi1J0rFjxyRJVVVVnnvuucyfP79un4kTJ6a8vLzuUm8AAAAA4JOhpJdpjxw5MgMHDkzXrl2zYMGCjB07Ng8//HAmTJiQGTNmZOzYsTn44IOzySab5Nlnn82ZZ56ZvffeO3369EmS9O/fP7169cqXvvSlXHXVVZk7d27OO++8DB8+PC1atCjloQEAAAAA/6GkMXL+/Pk5/vjjM2fOnFRUVKRPnz6ZMGFCDjzwwMyaNSsPPPBArr322ixatChdunTJ4MGDc95559W9v0mTJrnvvvvy1a9+NVVVVWndunWGDh2aSy65pIRHBQAAAACsTlltbW1tqYcotZqamlRUVKS6utr9IwEAAADgI/qwfe0Td89IAAAAAKBxEiMBAAAAgEKIkQAAAABAIcRIAAAAAKAQJX2aNgAAAFCMsrKLSz0CH1Nt7YWlHgE+NmdGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUIiSxsgbbrghffr0SXl5ecrLy1NVVZXx48fXbV+8eHGGDx+eTTbZJBtttFEGDx6cefPm1fuMmTNnZtCgQWnVqlXat2+fs88+O8uXLy/6UAAAAACAD1DSGNm5c+dcccUVmTp1ap588snst99+Oeyww/LCCy8kSc4888zce++9GTduXCZPnpzZs2fnyCOPrHv/ihUrMmjQoCxdujSPPfZYbrnllowZMyYXXHBBqQ4JAAAAAFiDstra2tpSD/Hv2rVrl6uvvjqf//zns9lmm2Xs2LH5/Oc/nyT5y1/+km233TZTpkzJbrvtlvHjx+eQQw7J7Nmz06FDhyTJ6NGjc8455+TNN99M8+bNP9R31tTUpKKiItXV1SkvL19nxwYAAAClUlZ2calH4GOqrb2w1CPAGn3YvvaJuWfkihUrcvvtt2fRokWpqqrK1KlTs2zZshxwwAF1+/Ts2TNdu3bNlClTkiRTpkzJ9ttvXxcik2TAgAGpqampO7sSAAAAAPhkaFrqAZ577rlUVVVl8eLF2WijjXL33XenV69emTZtWpo3b562bdvW279Dhw6ZO3dukmTu3Ln1QuR729/btiZLlizJkiVL6l7X1NSspaMBAAAAANak5DFym222ybRp01JdXZ0777wzQ4cOzeTJk9fpd44aNSoXX+z0dAAAKIrLQ9d/Lg8FYG0o+WXazZs3z5Zbbpm+fftm1KhR2WGHHXLdddelsrIyS5cuzTvvvFNv/3nz5qWysjJJUllZucrTtd97/d4+qzNy5MhUV1fXLbNmzVq7BwUAAAAArKLkMfI/rVy5MkuWLEnfvn3TrFmzTJo0qW7b9OnTM3PmzFRVVSVJqqqq8txzz2X+/Pl1+0ycODHl5eXp1avXGr+jRYsWKS8vr7cAAAAAAOtWSS/THjlyZAYOHJiuXbtmwYIFGTt2bB5++OFMmDAhFRUVGTZsWEaMGJF27dqlvLw8X//611NVVZXddtstSdK/f//06tUrX/rSl3LVVVdl7ty5Oe+88zJ8+PC0aNGilIcGAAAAAPyHksbI+fPn5/jjj8+cOXNSUVGRPn36ZMKECTnwwAOTJN/97nezwQYbZPDgwVmyZEkGDBiQ66+/vu79TZo0yX333ZevfvWrqaqqSuvWrTN06NBccsklpTokAAAAAGANympra2tLPUSp1dTUpKKiItXV1S7ZBgCAdcADbNZ/HmCz/vPncP3nzyGfZB+2r33i7hkJAAAAADROYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFaFrqAQAAAAD4YGVlF5d6BD6G2toLSz3CJ4IzIwEAAACAQoiRAAAAAEAhxEgAAAAAoBBiJAAAAABQCDESAAAAACiEGAkAAAAAFEKMBAAAAAAKIUYCAAAAAIUQIwEAAACAQoiRAAAAAEAhxEgAAAAAoBAljZGjRo3KrrvumjZt2qR9+/Y5/PDDM3369Hr77LPPPikrK6u3fOUrX6m3z8yZMzNo0KC0atUq7du3z9lnn53ly5cXeSgAAAAAwAdoWsovnzx5coYPH55dd901y5cvz//8z/+kf//+efHFF9O6deu6/U455ZRccsklda9btWpV99crVqzIoEGDUllZmcceeyxz5szJ8ccfn2bNmuXyyy8v9HgAAAAAgDUraYy8//77670eM2ZM2rdvn6lTp2bvvfeuW9+qVatUVlau9jN+97vf5cUXX8wDDzyQDh06ZMcdd8yll16ac845JxdddFGaN2++To8BAADg06Cs7OJSjwBAI/CJumdkdXV1kqRdu3b11t92223ZdNNN07t374wcOTLvvvtu3bYpU6Zk++23T4cOHerWDRgwIDU1NXnhhReKGRwAAAAA+EAlPTPy361cuTJnnHFG9thjj/Tu3btu/bHHHptu3bqlU6dOefbZZ3POOedk+vTpueuuu5Ikc+fOrRcik9S9njt37mq/a8mSJVmyZEnd65qamrV9OAAAAADAf/jExMjhw4fn+eefz6OPPlpv/amnnlr319tvv306duyY/fffPzNmzEiPHj0a9F2jRo3KxRe7xAAAAAAAivSJuEz7tNNOy3333ZeHHnoonTt3ft99+/XrlyR5+eWXkySVlZWZN29evX3ee72m+0yOHDky1dXVdcusWbM+7iEAAAAAAB+gpDGytrY2p512Wu6+++48+OCD6d69+we+Z9q0aUmSjh07Jkmqqqry3HPPZf78+XX7TJw4MeXl5enVq9dqP6NFixYpLy+vtwAAAAAA61ZJL9MePnx4xo4dm1/96ldp06ZN3T0eKyoq0rJly8yYMSNjx47NwQcfnE022STPPvtszjzzzOy9997p06dPkqR///7p1atXvvSlL+Wqq67K3Llzc95552X48OFp0aJFKQ8PAAAAAPg3ZbW1tbUl+/KystWuv/nmm3PCCSdk1qxZOe644/L8889n0aJF6dKlS4444oicd9559c5mfO211/LVr341Dz/8cFq3bp2hQ4fmiiuuSNOmH6611tTUpKKiItXV1c6SBACAdaCszD3bAfh0q629sNQjrFMftq+V9MzID+qgXbp0yeTJkz/wc7p165bf/va3a2ssAAAAAGAd+EQ8wAYAAAAAaPzESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCNC31AAAARSgru7jUI/Ax1dZeWOoRAAD4mJwZCQAAAAAUQowEAAAAAApR0hg5atSo7LrrrmnTpk3at2+fww8/PNOnT6+3z+LFizN8+PBssskm2WijjTJ48ODMmzev3j4zZ87MoEGD0qpVq7Rv3z5nn312li9fXuShAAAAAAAfoKQxcvLkyRk+fHj++Mc/ZuLEiVm2bFn69++fRYsW1e1z5pln5t577824ceMyefLkzJ49O0ceeWTd9hUrVmTQoEFZunRpHnvssdxyyy0ZM2ZMLrjgglIcEgAAAACwBmW1tbW1pR7iPW+++Wbat2+fyZMnZ++99051dXU222yzjB07Np///OeTJH/5y1+y7bbbZsqUKdltt90yfvz4HHLIIZk9e3Y6dOiQJBk9enTOOeecvPnmm2nevPkHfm9NTU0qKipSXV2d8vLydXqMAEBpeIDN+s8DbNZv/gwC8GnX2P9d5sP2tU/UPSOrq6uTJO3atUuSTJ06NcuWLcsBBxxQt0/Pnj3TtWvXTJkyJUkyZcqUbL/99nUhMkkGDBiQmpqavPDCC6v9niVLlqSmpqbeAgAAAACsWw2KkX/729/W9hxZuXJlzjjjjOyxxx7p3bt3kmTu3Llp3rx52rZtW2/fDh06ZO7cuXX7/HuIfG/7e9tWZ9SoUamoqKhbunTpspaPBgAAAAD4Tw2KkVtuuWX23Xff/OxnP8vixYvXyiDDhw/P888/n9tvv32tfN77GTlyZKqrq+uWWbNmrfPvBAAAAIBPuwbFyKeeeip9+vTJiBEjUllZmS9/+cv505/+1OAhTjvttNx333156KGH0rlz57r1lZWVWbp0ad555516+8+bNy+VlZV1+/zn07Xfe/3ePv+pRYsWKS8vr7cAAAAAAOtWg2LkjjvumOuuuy6zZ8/OT37yk8yZMyd77rlnevfunWuuuSZvvvnmh/qc2tranHbaabn77rvz4IMPpnv37vW29+3bN82aNcukSZPq1k2fPj0zZ85MVVVVkqSqqirPPfdc5s+fX7fPxIkTU15enl69ejXk8AAAAACAdeBjPcCmadOmOfLIIzNu3LhceeWVefnll3PWWWelS5cuOf744zNnzpz3ff/w4cPzs5/9LGPHjk2bNm0yd+7czJ07N//85z+TJBUVFRk2bFhGjBiRhx56KFOnTs2JJ56Yqqqq7LbbbkmS/v37p1evXvnSl76UZ555JhMmTMh5552X4cOHp0WLFh/n8AAAAACAtehjxcgnn3wyX/va19KxY8dcc801OeusszJjxoxMnDgxs2fPzmGHHfa+77/hhhtSXV2dffbZJx07dqxbfvGLX9Tt893vfjeHHHJIBg8enL333juVlZW566676rY3adIk9913X5o0aZKqqqocd9xxOf7443PJJZd8nEMDAAAAANaystra2tqP+qZrrrkmN998c6ZPn56DDz44J598cg4++OBssMH/tc3XX389m2++eZYvX75WB14XampqUlFRkerqavePBIBGqqzs4lKPwMdUW3thqUfgY/BnEIBPu8b+7zIftq81bciH33DDDTnppJNywgknpGPHjqvdp3379rnpppsa8vEAAAAAQCPUoBj50ksvfeA+zZs3z9ChQxvy8QAAAABAI9Sge0befPPNGTdu3Crrx40bl1tuueVjDwUAAAAAND4NipGjRo3Kpptuusr69u3b5/LLL//YQwEAAAAAjU+DYuTMmTPTvXv3VdZ369YtM2fO/NhDAQAAAACNT4NiZPv27fPss8+usv6ZZ57JJpts8rGHAgAAAAAanwbFyGOOOSb//d//nYceeigrVqzIihUr8uCDD+b000/P0UcfvbZnBAAAAAAagQY9TfvSSy/Nq6++mv333z9Nm/7rI1auXJnjjz/ePSMBAAAAgNVqUIxs3rx5fvGLX+TSSy/NM888k5YtW2b77bdPt27d1vZ8AAAAAEAj0aAY+Z6tt946W2+99dqaBQAAAABoxBoUI1esWJExY8Zk0qRJmT9/flauXFlv+4MPPrhWhgMAAAAAGo8GxcjTTz89Y8aMyaBBg9K7d++UlZWt7bkAAAAAgEamQTHy9ttvzx133JGDDz54bc8DAAAAADRSGzTkTc2bN8+WW265tmcBAAAAABqxBsXIb3zjG7nuuutSW1u7tucBAAAAABqpBl2m/eijj+ahhx7K+PHjs91226VZs2b1tt91111rZTgAAAAAoPFoUIxs27ZtjjjiiLU9CwAAAADQiDUoRt58881rew4AAAAAoJFr0D0jk2T58uV54IEH8qMf/SgLFixIksyePTsLFy5ca8MBAAAAAI1Hg86MfO2113LQQQdl5syZWbJkSQ488MC0adMmV155ZZYsWZLRo0ev7TkBAAAAgPVcg86MPP3007PLLrvk7bffTsuWLevWH3HEEZk0adJaGw4AAAAAaDwadGbk73//+zz22GNp3rx5vfWbb7553njjjbUyGAAAAADQuDTozMiVK1dmxYoVq6x//fXX06ZNm489FAAAAADQ+DQoRvbv3z/XXntt3euysrIsXLgwF154YQ4++OC1NRsAAAAA0Ig06DLt73znOxkwYEB69eqVxYsX59hjj81LL72UTTfdND//+c/X9owAAAAAQCPQoBjZuXPnPPPMM7n99tvz7LPPZuHChRk2bFiGDBlS74E2AAAAAADvaVCMTJKmTZvmuOOOW5uzAAAAAACNWINi5K233vq+248//vgGDQMAAAAANF4NipGnn356vdfLli3Lu+++m+bNm6dVq1ZiJAAAAACwigY9Tfvtt9+utyxcuDDTp0/Pnnvu6QE2AAAAAMBqNShGrs5WW22VK664YpWzJgEAAAAAkrUYI5N/PdRm9uzZa/MjAQAAAIBGokH3jPz1r39d73VtbW3mzJmTH/zgB9ljjz3WymAAAAAAQOPSoBh5+OGH13tdVlaWzTbbLPvtt1++853vrI25AAAAAIBGpkExcuXKlWt7DgAAAACgkVur94wEAAAAAFiTBp0ZOWLEiA+97zXXXNOQrwAAAAAAGpkGxcinn346Tz/9dJYtW5ZtttkmSfLXv/41TZo0yc4771y3X1lZ2dqZEgAAAABY7zUoRh566KFp06ZNbrnllmy88cZJkrfffjsnnnhi9tprr3zjG99Yq0MCAAAAAOu/Bt0z8jvf+U5GjRpVFyKTZOONN85ll13madoAAAAAwGo1KEbW1NTkzTffXGX9m2++mQULFnzsoQAAAACAxqdBMfKII47IiSeemLvuuiuvv/56Xn/99fzyl7/MsGHDcuSRR67tGQEAAACARqBB94wcPXp0zjrrrBx77LFZtmzZvz6oadMMGzYsV1999VodEAAAAABoHBoUI1u1apXrr78+V199dWbMmJEk6dGjR1q3br1WhwMAAAAAGo8GXab9njlz5mTOnDnZaqut0rp169TW1q6tuQAAAACARqZBMfIf//hH9t9//2y99dY5+OCDM2fOnCTJsGHD8o1vfGOtDggAAAAANA4NipFnnnlmmjVrlpkzZ6ZVq1Z164866qjcf//9a204AAAAAKDxaNA9I3/3u99lwoQJ6dy5c731W221VV577bW1MhgAAAAA0Lg06MzIRYsW1Tsj8j1vvfVWWrRo8bGHAgAAAAAanwbFyL322iu33npr3euysrKsXLkyV111Vfbdd9+1NhwAAAAA0Hg06DLtq666Kvvvv3+efPLJLF26NN/85jfzwgsv5K233sof/vCHtT0jAAAAANAINOjMyN69e+evf/1r9txzzxx22GFZtGhRjjzyyDz99NPp0aPH2p4RAAAAAGgEPvKZkcuWLctBBx2U0aNH5//9v/+3LmYCAAAAABqhj3xmZLNmzfLss8+ui1kAAAAAgEasQZdpH3fccbnpppvW9iwAAAAAQCPWoAfYLF++PD/5yU/ywAMPpG/fvmndunW97ddcc81aGQ4AAAAAaDw+Uoz829/+ls033zzPP/98dt555yTJX//613r7lJWVrb3pAAAAAIBG4yPFyK222ipz5szJQw89lCQ56qij8r3vfS8dOnRYJ8MBAAAAAI3HR7pnZG1tbb3X48ePz6JFi9bqQAAAAABA49SgB9i85z/jJAAAAADAmnykGFlWVrbKPSHdIxIAAAAA+DA+0j0ja2trc8IJJ6RFixZJksWLF+crX/nKKk/Tvuuuu9behAAAAABAo/CRYuTQoUPrvT7uuOPW6jAAAAAAQOP1kWLkzTffvK7mAAAAAAAauY/1ABsAAAAAgA9LjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAAClHSGPnII4/k0EMPTadOnVJWVpZ77rmn3vYTTjghZWVl9ZaDDjqo3j5vvfVWhgwZkvLy8rRt2zbDhg3LwoULCzwKAAAAAODDKGmMXLRoUXbYYYf88Ic/XOM+Bx10UObMmVO3/PznP6+3fciQIXnhhRcyceLE3HfffXnkkUdy6qmnruvRAQAAAICPqGkpv3zgwIEZOHDg++7TokWLVFZWrnbbn//859x///154oknsssuuyRJvv/97+fggw/Ot7/97XTq1GmtzwwAAAAANMwn/p6RDz/8cNq3b59tttkmX/3qV/OPf/yjbtuUKVPStm3buhCZJAcccEA22GCDPP7442v8zCVLlqSmpqbeAgAAAACsW5/oGHnQQQfl1ltvzaRJk3LllVdm8uTJGThwYFasWJEkmTt3btq3b1/vPU2bNk27du0yd+7cNX7uqFGjUlFRUbd06dJlnR4HAAAAAFDiy7Q/yNFHH13319tvv3369OmTHj165OGHH87+++/f4M8dOXJkRowYUfe6pqZGkAQAAACAdewTfWbkf9piiy2y6aab5uWXX06SVFZWZv78+fX2Wb58ed5666013mcy+dd9KMvLy+stAAAAAMC6tV7FyNdffz3/+Mc/0rFjxyRJVVVV3nnnnUydOrVunwcffDArV65Mv379SjUmAAAAALAaJb1Me+HChXVnOSbJK6+8kmnTpqVdu3Zp165dLr744gwePDiVlZWZMWNGvvnNb2bLLbfMgAEDkiTbbrttDjrooJxyyikZPXp0li1bltNOOy1HH320J2kDAAAAwCdMSc+MfPLJJ7PTTjtlp512SpKMGDEiO+20Uy644II0adIkzz77bD73uc9l6623zrBhw9K3b9/8/ve/T4sWLeo+47bbbkvPnj2z//775+CDD86ee+6ZG2+8sVSHBAAAAACsQUnPjNxnn31SW1u7xu0TJkz4wM9o165dxo4duzbHAgAAAADWgfXqnpEAAAAAwPpLjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAAClHSGPnII4/k0EMPTadOnVJWVpZ77rmn3vba2tpccMEF6dixY1q2bJkDDjggL730Ur193nrrrQwZMiTl5eVp27Zthg0bloULFxZ4FAAAAADAh1HSGLlo0aLssMMO+eEPf7ja7VdddVW+973vZfTo0Xn88cfTunXrDBgwIIsXL67bZ8iQIXnhhRcyceLE3HfffXnkkUdy6qmnFnUIAAAAAMCH1LSUXz5w4MAMHDhwtdtqa2tz7bXX5rzzzsthhx2WJLn11lvToUOH3HPPPTn66KPz5z//Offff3+eeOKJ7LLLLkmS73//+zn44IPz7W9/O506dSrsWAAAAACA9/eJvWfkK6+8krlz5+aAAw6oW1dRUZF+/fplypQpSZIpU6akbdu2dSEySQ444IBssMEGefzxxwufGQAAAABYs5KeGfl+5s6dmyTp0KFDvfUdOnSo2zZ37ty0b9++3vamTZumXbt2dfuszpIlS7JkyZK61zU1NWtrbAAAAABgDT6xZ0auS6NGjUpFRUXd0qVLl1KPBAAAAACN3ic2RlZWViZJ5s2bV2/9vHnz6rZVVlZm/vz59bYvX748b731Vt0+qzNy5MhUV1fXLbNmzVrL0wMAAAAA/+kTGyO7d++eysrKTJo0qW5dTU1NHn/88VRVVSVJqqqq8s4772Tq1Kl1+zz44INZuXJl+vXrt8bPbtGiRcrLy+stAAAAAMC6VdJ7Ri5cuDAvv/xy3etXXnkl06ZNS7t27dK1a9ecccYZueyyy7LVVlule/fuOf/889OpU6ccfvjhSZJtt902Bx10UE455ZSMHj06y5Yty2mnnZajjz7ak7QBAAAA4BOmpDHyySefzL777lv3esSIEUmSoUOHZsyYMfnmN7+ZRYsW5dRTT80777yTPffcM/fff3823HDDuvfcdtttOe2007L//vtngw02yODBg/O9732v8GMBAAAAAN5fWW1tbW2phyi1mpqaVFRUpLq62iXbANBIlZVdXOoR+Jhqay8s9Qh8DP4MAvBp19j/XebD9rVP7D0jAQAAAIDGRYwEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEE1LPQAAAHwYZWUXl3oEAAA+JmdGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQn+gYedFFF6WsrKze0rNnz7rtixcvzvDhw7PJJptko402yuDBgzNv3rwSTgwAAAAArMknOkYmyXbbbZc5c+bULY8++mjdtjPPPDP33ntvxo0bl8mTJ2f27Nk58sgjSzgtAAAAALAmTUs9wAdp2rRpKisrV1lfXV2dm266KWPHjs1+++2XJLn55puz7bbb5o9//GN22223okcFAAAAAN7HJ/7MyJdeeimdOnXKFltskSFDhmTmzJlJkqlTp2bZsmU54IAD6vbt2bNnunbtmilTprzvZy5ZsiQ1NTX1FgAAAABg3fpEx8h+/fplzJgxuf/++3PDDTfklVdeyV577ZUFCxZk7ty5ad68edq2bVvvPR06dMjcuXPf93NHjRqVioqKuqVLly7r8CgAAAAAgOQTfpn2wIED6/66T58+6devX7p165Y77rgjLVu2bPDnjhw5MiNGjKh7XVNTI0gCAAAAwDr2iT4z8j+1bds2W2+9dV5++eVUVlZm6dKleeedd+rtM2/evNXeY/LftWjRIuXl5fUWAAAAAGDdWq9i5MKFCzNjxox07Ngxffv2TbNmzTJp0qS67dOnT8/MmTNTVVVVwikBAAAAgNX5RF+mfdZZZ+XQQw9Nt27dMnv27Fx44YVp0qRJjjnmmFRUVGTYsGEZMWJE2rVrl/Ly8nz9619PVVWVJ2kDAAAAwCfQJzpGvv766znmmGPyj3/8I5tttln23HPP/PGPf8xmm22WJPnud7+bDTbYIIMHD86SJUsyYMCAXH/99SWeGgAAAABYnbLa2traUg9RajU1NamoqEh1dbX7RwJAI1VWdnGpRwAA4FOstvbCUo+wTn3YvrZe3TMSAAAAAFh/iZEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKETTUg8AAOsDT2IGAAD4+JwZCQAAAAAUQowEAAAAAArhMm2AArjEFwAAAJwZCQAAAAAURIwEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEGIkAAAAAFAIMRIAAAAAKIQYCQAAAAAUQowEAAAAAAohRgIAAAAAhRAjAQAAAIBCiJEAAAAAQCHESAAAAACgEE1LPQDw4ZSVXVzqEQAAAAA+FmdGAgAAAACFECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQAAAAAUAgxEgAAAAAohBgJAAAAABRCjAQAAAAACiFGAgAAAACFECMBAAAAgEI0mhj5wx/+MJtvvnk23HDD9OvXL3/6059KPRIAAAAA8G8aRYz8xS9+kREjRuTCCy/MU089lR122CEDBgzI/PnzSz0aAAAAAPC/GkWMvOaaa3LKKafkxBNPTK9evTJ69Oi0atUqP/nJT0o9GgAAAADwv5qWeoCPa+nSpZk6dWpGjhxZt26DDTbIAQcckClTpqz2PUuWLMmSJUvqXldXVydJampq1u2wJVRRMarUIwAAAAB8ajXm7pT83/HV1ta+737rfYz8+9//nhUrVqRDhw711nfo0CF/+ctfVvueUaNG5eKLL15lfZcuXdbJjAAAAAB8ulVUXFHqEQqxYMGCVFRUrHH7eh8jG2LkyJEZMWJE3euVK1fmrbfeyiabbJKysrISTkap1dTUpEuXLpk1a1bKy8tLPQ6NhN8V64rfFuuC3xXrgt8V64rfFuuC3xXrwqfhd1VbW5sFCxakU6dO77vfeh8jN9100zRp0iTz5s2rt37evHmprKxc7XtatGiRFi1a1FvXtm3bdTUi66Hy8vJG+w8HSsfvinXFb4t1we+KdcHvinXFb4t1we+KdaGx/67e74zI96z3D7Bp3rx5+vbtm0mTJtWtW7lyZSZNmpSqqqoSTgYAAAAA/Lv1/szIJBkxYkSGDh2aXXbZJZ/5zGdy7bXXZtGiRTnxxBNLPRoAAAAA8L8aRYw86qij8uabb+aCCy7I3Llzs+OOO+b+++9f5aE28EFatGiRCy+8cJXL+OHj8LtiXfHbYl3wu2Jd8LtiXfHbYl3wu2Jd8Lv6P2W1H/S8bQAAAACAtWC9v2ckAAAAALB+ECMBAAAAgEKIkQAAAABAIcRIAAAAAKAQYiQkueGGG9KnT5+Ul5envLw8VVVVGT9+fKnHopG54oorUlZWljPOOKPUo7Aeu+iii1JWVlZv6dmzZ6nHopF44403ctxxx2WTTTZJy5Yts/322+fJJ58s9VisxzbffPNV/plVVlaW4cOHl3o01mMrVqzI+eefn+7du6dly5bp0aNHLr300ng2Kx/XggULcsYZZ6Rbt25p2bJldt999zzxxBOlHov1zCOPPJJDDz00nTp1SllZWe65555622tra3PBBRekY8eOadmyZQ444IC89NJLpRm2RMRISNK5c+dcccUVmTp1ap588snst99+Oeyww/LCCy+UejQaiSeeeCI/+tGP0qdPn1KPQiOw3XbbZc6cOXXLo48+WuqRaATefvvt7LHHHmnWrFnGjx+fF198Md/5zney8cYbl3o01mNPPPFEvX9eTZw4MUnyhS98ocSTsT678sorc8MNN+QHP/hB/vznP+fKK6/MVVddle9///ulHo313Mknn5yJEyfmpz/9aZ577rn0798/BxxwQN54441Sj8Z6ZNGiRdlhhx3ywx/+cLXbr7rqqnzve9/L6NGj8/jjj6d169YZMGBAFi9eXPCkpVNW6z8fwWq1a9cuV199dYYNG1bqUVjPLVy4MDvvvHOuv/76XHbZZdlxxx1z7bXXlnos1lMXXXRR7rnnnkybNq3Uo9DInHvuufnDH/6Q3//+96UehUbsjDPOyH333ZeXXnopZWVlpR6H9dQhhxySDh065KabbqpbN3jw4LRs2TI/+9nPSjgZ67N//vOfadOmTX71q19l0KBBdev79u2bgQMH5rLLLivhdKyvysrKcvfdd+fwww9P8q+zIjt16pRvfOMbOeuss5Ik1dXV6dChQ8aMGZOjjz66hNMWx5mR8B9WrFiR22+/PYsWLUpVVVWpx6ERGD58eAYNGpQDDjig1KPQSLz00kvp1KlTtthiiwwZMiQzZ84s9Ug0Ar/+9a+zyy675Atf+ELat2+fnXbaKT/+8Y9LPRaNyNKlS/Ozn/0sJ510khDJx7L77rtn0qRJ+etf/5okeeaZZ/Loo49m4MCBJZ6M9dny5cuzYsWKbLjhhvXWt2zZ0lUorDWvvPJK5s6dW+//G1ZUVKRfv36ZMmVKCScrVtNSDwCfFM8991yqqqqyePHibLTRRrn77rvTq1evUo/Feu7222/PU0895V4zrDX9+vXLmDFjss0222TOnDm5+OKLs9dee+X5559PmzZtSj0e67G//e1vueGGGzJixIj8z//8T5544on893//d5o3b56hQ4eWejwagXvuuSfvvPNOTjjhhFKPwnru3HPPTU1NTXr27JkmTZpkxYoV+da3vpUhQ4aUejTWY23atElVVVUuvfTSbLvttunQoUN+/vOfZ8qUKdlyyy1LPR6NxNy5c5MkHTp0qLe+Q4cOdds+DcRI+F/bbLNNpk2blurq6tx5550ZOnRoJk+eLEjSYLNmzcrpp5+eiRMnrvJfWKGh/v2sjz59+qRfv37p1q1b7rjjDreV4GNZuXJldtlll1x++eVJkp122inPP/98Ro8eLUayVtx0000ZOHBgOnXqVOpRWM/dcccdue222zJ27Nhst912mTZtWs4444x06tTJP6/4WH7605/mpJNOyn/913+lSZMm2XnnnXPMMcdk6tSppR4NGhWXacP/at68ebbccsv07ds3o0aNyg477JDrrruu1GOxHps6dWrmz5+fnXfeOU2bNk3Tpk0zefLkfO9730vTpk2zYsWKUo9II9C2bdtsvfXWefnll0s9Cuu5jh07rvIf4Lbddlu3AWCteO211/LAAw/k5JNPLvUoNAJnn312zj333Bx99NHZfvvt86UvfSlnnnlmRo0aVerRWM/16NEjkydPzsKFCzNr1qz86U9/yrJly7LFFluUejQaicrKyiTJvHnz6q2fN29e3bZPAzES1mDlypVZsmRJqcdgPbb//vvnueeey7Rp0+qWXXbZJUOGDMm0adPSpEmTUo9II7Bw4cLMmDEjHTt2LPUorOf22GOPTJ8+vd66v/71r+nWrVuJJqIxufnmm9O+fft6D4WAhnr33XezwQb1/69skyZNsnLlyhJNRGPTunXrdOzYMW+//XYmTJiQww47rNQj0Uh07949lZWVmTRpUt26mpqaPP7445+qZ1a4TBuSjBw5MgMHDkzXrl2zYMGCjB07Ng8//HAmTJhQ6tFYj7Vp0ya9e/eut65169bZZJNNVlkPH9ZZZ52VQw89NN26dcvs2bNz4YUXpkmTJjnmmGNKPRrruTPPPDO77757Lr/88nzxi1/Mn/70p9x444258cYbSz0a67mVK1fm5ptvztChQ9O0qf/7wcd36KGH5lvf+la6du2a7bbbLk8//XSuueaanHTSSaUejfXchAkTUltbm2222SYvv/xyzj777PTs2TMnnnhiqUdjPbJw4cJ6Vy298sormTZtWtq1a5euXbvmjDPOyGWXXZatttoq3bt3z/nnn59OnTrVPXH708C/DUCS+fPn5/jjj8+cOXNSUVGRPn36ZMKECTnwwANLPRpAPa+//nqOOeaY/OMf/8hmm22WPffcM3/84x+z2WablXo01nO77rpr7r777owcOTKXXHJJunfvnmuvvdYDIfjYHnjggcycOVMoYq35/ve/n/PPPz9f+9rXMn/+/HTq1Clf/vKXc8EFF5R6NNZz1dXVGTlyZF5//fW0a9cugwcPzre+9a00a9as1KOxHnnyySez77771r0eMWJEkmTo0KEZM2ZMvvnNb2bRokU59dRT884772TPPffM/fff/6l6zkBZbW1tbamHAAAAAAAaP/eMBAAAAAAKIUYCAAAAAIUQIwEAAACAQoiRAAAAAEAhxEgAAAAAoBBiJAAAAABQCDESAAAAACiEGAkAAAAAFEKMBAAAAAAKIUYCAAAAAIUQIwEAAACAQoiRAAAAAEAh/j9w8XrrwQzWcgAAAABJRU5ErkJggg==", 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" ] @@ -543,10 +548,10 @@ "id": "96ff98c6", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:31.844359Z", - "iopub.status.busy": "2024-09-13T08:21:31.843997Z", - "iopub.status.idle": "2024-09-13T08:21:32.076267Z", - "shell.execute_reply": "2024-09-13T08:21:32.075641Z" + "iopub.execute_input": "2025-03-03T16:22:43.131180Z", + "iopub.status.busy": "2025-03-03T16:22:43.130993Z", + "iopub.status.idle": "2025-03-03T16:22:43.371758Z", + "shell.execute_reply": "2025-03-03T16:22:43.371213Z" }, "tags": [ "remove-input" @@ -555,7 +560,7 @@ "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -600,10 +605,10 @@ "id": "6815f0a1", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:32.078808Z", - "iopub.status.busy": "2024-09-13T08:21:32.078408Z", - "iopub.status.idle": "2024-09-13T08:21:32.307601Z", - "shell.execute_reply": "2024-09-13T08:21:32.307003Z" + "iopub.execute_input": "2025-03-03T16:22:43.373824Z", + "iopub.status.busy": "2025-03-03T16:22:43.373457Z", + "iopub.status.idle": "2025-03-03T16:22:43.608918Z", + "shell.execute_reply": "2025-03-03T16:22:43.608315Z" }, "tags": [ "remove-input" @@ -612,7 +617,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -668,10 +673,10 @@ "id": "04a26e54", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:32.309855Z", - "iopub.status.busy": "2024-09-13T08:21:32.309665Z", - "iopub.status.idle": "2024-09-13T08:21:32.317761Z", - "shell.execute_reply": "2024-09-13T08:21:32.317284Z" + "iopub.execute_input": "2025-03-03T16:22:43.610842Z", + "iopub.status.busy": "2025-03-03T16:22:43.610661Z", + "iopub.status.idle": "2025-03-03T16:22:43.618620Z", + "shell.execute_reply": "2025-03-03T16:22:43.618101Z" }, "tags": [ "remove-input" @@ -681,7 +686,7 @@ { "data": { "text/html": [ - "\n", + "
\n", "\n", " \n", " \n", @@ -691,7 +696,6 @@ " \n", " \n", "\n", - "\n", "\n", - "\n", "
\n", - "\n", - "
\n", - "Loading ITables v2.1.5 from the internet...\n", + "Loading ITables v2.2.5 from the internet...\n", "(need help?)
\n", - "\n", + "\n", "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.core.magic import register_cell_magic\n", + "from IPython.display import Markdown\n", + "import datetime\n", + "from datetime import date\n", + "import glob\n", + "import json\n", + "import logging\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "import plotly\n", + "import warnings\n", + "import calplot\n", + "from itables import init_notebook_mode, show\n", + "import itables.options as opt\n", + "\n", + "opt.dom = \"tpir\"\n", + "opt.style = \"table-layout:auto;width:auto\"\n", + "init_notebook_mode(all_interactive=True, connected=True)\n", + "\n", + "@register_cell_magic\n", + "def markdown(line, cell):\n", + " return Markdown(cell.format(**globals()))\n", + "\n", + "\n", + "logging.getLogger('matplotlib.font_manager').disabled = True\n", + "warnings.filterwarnings(\"ignore\")\n", + "pd.set_option('display.width', 500)\n", + "pd.set_option('display.max_rows', 50)\n", + "pd.set_option('display.max_columns', 10)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:27:09.722928Z", + "iopub.status.busy": "2025-03-03T16:27:09.722543Z", + "iopub.status.idle": "2025-03-03T16:27:34.307551Z", + "shell.execute_reply": "2025-03-03T16:27:34.306989Z" + }, + "tags": [ + "remove-cell" + ] + }, + "outputs": [], + "source": [ + "row_accumulator = []\n", + "for filename in glob.glob('nvd.jsonl'):\n", + " with open(filename, 'r', encoding='utf-8') as f:\n", + " nvd_data = json.load(f)\n", + " for entry in nvd_data:\n", + " cve = entry['cve']['id']\n", + " try:\n", + " assigner = entry['cve']['sourceIdentifier']\n", + " except KeyError:\n", + " assigner = 'Missing_Data'\n", + " try:\n", + " published_date = entry['cve']['published']\n", + " except KeyError:\n", + " published_date = 'Missing_Data'\n", + " try:\n", + " attack_vector = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['attackVector']\n", + " except KeyError:\n", + " attack_vector = 'Missing_Data'\n", + " try:\n", + " attack_complexity = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['attackComplexity']\n", + " except KeyError:\n", + " attack_complexity = 'Missing_Data'\n", + " try:\n", + " privileges_required = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['privilegesRequired']\n", + " except KeyError:\n", + " privileges_required = 'Missing_Data'\n", + " try:\n", + " user_interaction = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['userInteraction']\n", + " except KeyError:\n", + " user_interaction = 'Missing_Data'\n", + " try:\n", + " scope = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['scope']\n", + " except KeyError:\n", + " scope = 'Missing_Data'\n", + " try:\n", + " confidentiality_impact = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['confidentialityImpact']\n", + " except KeyError:\n", + " confidentiality_impact = 'Missing_Data'\n", + " try:\n", + " integrity_impact = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['integrityImpact']\n", + " except KeyError:\n", + " integrity_impact = 'Missing_Data'\n", + " try:\n", + " availability_impact = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['availabilityImpact']\n", + " except KeyError:\n", + " availability_impact = 'Missing_Data'\n", + " try:\n", + " base_score = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['baseScore']\n", + " except KeyError:\n", + " base_score = '0.0'\n", + " try:\n", + " base_severity = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['baseSeverity']\n", + " except KeyError:\n", + " base_severity = 'Missing_Data'\n", + " try:\n", + " exploitability_score = entry['cve']['metrics']['cvssMetricV31'][0]['exploitabilityScore']\n", + " except KeyError:\n", + " exploitability_score = 'Missing_Data'\n", + " try:\n", + " impact_score = entry['cve']['metrics']['cvssMetricV31'][0]['impactScore']\n", + " except KeyError:\n", + " impact_score = 'Missing_Data'\n", + " try:\n", + " cwe = entry['cve']['weaknesses'][0]['description'][0]['value']\n", + " except KeyError:\n", + " cwe = 'Missing_Data'\n", + " try:\n", + " description = entry['cve']['descriptions'][0]['value']\n", + " except IndexError:\n", + " description = ''\n", + " try: \n", + " vulnStatus = entry['cve']['vulnStatus']\n", + " except IndexError:\n", + " vulnStatus = '' \n", + " new_row = {\n", + " 'CVE': cve,\n", + " 'Published': published_date,\n", + " 'AttackVector': attack_vector,\n", + " 'AttackComplexity': attack_complexity,\n", + " 'PrivilegesRequired': privileges_required,\n", + " 'UserInteraction': user_interaction,\n", + " 'Scope': scope,\n", + " 'ConfidentialityImpact': confidentiality_impact,\n", + " 'IntegrityImpact': integrity_impact,\n", + " 'AvailabilityImpact': availability_impact,\n", + " 'BaseScore': base_score,\n", + " 'BaseSeverity': base_severity,\n", + " 'ExploitabilityScore': exploitability_score,\n", + " 'ImpactScore': impact_score,\n", + " 'CWE': cwe,\n", + " 'Description': description,\n", + " 'Assigner' : assigner,\n", + " 'Status': vulnStatus \n", + " }\n", + " row_accumulator.append(new_row)\n", + " nvd = pd.DataFrame(row_accumulator)\n", + "\n", + "nvd = nvd[~nvd.Status.str.contains('Rejected')]\n", + "nvd['Published'] = pd.to_datetime(nvd['Published'])\n", + "thisyear = ((nvd['Published'] > '2025-01-01') & (nvd['Published'] < '2026-01-01'))\n", + "nvd = nvd.loc[thisyear]\n", + "nvd = nvd.sort_values(by=['Published'])\n", + "nvd = nvd.reset_index(drop=True)\n", + "nvd['BaseScore'] = pd.to_numeric(nvd['BaseScore']);\n", + "nvd['BaseScore'] = pd.to_numeric(nvd['BaseScore']);\n", + "nvd['BaseScore'] = nvd['BaseScore'].replace(0, np.nan);\n", + "nvdcount = nvd['Published'].count()\n", + "nvdunique = nvd['Published'].nunique()\n", + "startdate = date(2025, 1, 1)\n", + "enddate = date.today()\n", + "numberofdays = enddate - startdate \n", + "per_day = nvdcount/numberofdays.days" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "fb2368b3", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:27:34.309695Z", + "iopub.status.busy": "2025-03-03T16:27:34.309405Z", + "iopub.status.idle": "2025-03-03T16:27:34.314180Z", + "shell.execute_reply": "2025-03-03T16:27:34.313712Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "text/markdown": [ + "Total Number of CVEs: **8123**
Average CVEs Per Day: **133.16**
Average CVSS Score: **6.58**" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Markdown(f\"Total Number of CVEs: **{nvd['CVE'].count()}**
Average CVEs Per Day: **{per_day.round(2)}**
Average CVSS Score: **{nvd['BaseScore'].mean().round(2)}**\")" + ] + }, + { + "cell_type": "markdown", + "id": "18a9c60b", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "source": [ + "\n", + "\n", + "## CVE Graphs" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "39c9867a", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:27:34.316356Z", + "iopub.status.busy": "2025-03-03T16:27:34.315823Z", + "iopub.status.idle": "2025-03-03T16:27:34.323556Z", + "shell.execute_reply": "2025-03-03T16:27:34.322973Z" + }, + "tags": [ + "remove-cell" + ] + }, + "outputs": [], + "source": [ + "Month_Graph = nvd['Published'].groupby(nvd.Published.dt.to_period(\"M\")).agg('count')\n", + "Year_Graph = nvd['Published'].groupby(nvd.Published.dt.to_period(\"Y\")).agg('count')\n", + "Week_Graph = nvd['Published'].groupby(nvd.Published.dt.to_period(\"W\")).agg('count')\n", + "Day_Graph = nvd['Published'].groupby(nvd.Published.dt.to_period(\"D\")).agg('count')" + ] + }, + { + "cell_type": "markdown", + "id": "986aa70e", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "source": [ + "### CVE Calendar" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "a776139d", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:27:34.325777Z", + "iopub.status.busy": "2025-03-03T16:27:34.325319Z", + "iopub.status.idle": "2025-03-03T16:27:34.705577Z", + "shell.execute_reply": "2025-03-03T16:27:34.704921Z" + }, + "tags": [ + "hide-input", + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dfs = nvd['Published'].apply(lambda x: pd.to_datetime(x, errors='coerce', format='%Y/%m/%d'))\n", + "df = dfs.value_counts()\n", + "df = df.to_frame()\n", + "df.index = df.index.strftime('%m/%d/%Y')\n", + "df.index = pd.to_datetime(df.index, format='%m/%d/%Y')\n", + "calplot.calplot(df.T.squeeze(), cmap='jet', dropzero=True, edgecolor=\"Grey\", textcolor=\"White\", textformat='{:.0f}', textfiller='', suptitle='CVEs Per Day', figsize=(25,3));" + ] + }, + { + "cell_type": "markdown", + "id": "2ce24285", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "source": [ + "### CVE Per Month Graph" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "endless-cylinder", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:27:34.707848Z", + "iopub.status.busy": "2025-03-03T16:27:34.707428Z", + "iopub.status.idle": "2025-03-03T16:27:34.924838Z", + "shell.execute_reply": "2025-03-03T16:27:34.924202Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cg = Month_Graph.plot.area(colormap='jet', figsize=(16, 8), title='CVEs Per Month')\n", + "plt.grid()\n", + "cg.set_ylabel(\"New CVEs\");\n", + "cg.set_xlabel(\"Date\");" + ] + }, + { + "cell_type": "markdown", + "id": "befe79e1", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "source": [ + "\n", + "\n", + "### CVE Per Week Graph" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "common-louis", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:27:34.927045Z", + "iopub.status.busy": "2025-03-03T16:27:34.926670Z", + "iopub.status.idle": "2025-03-03T16:27:35.097396Z", + "shell.execute_reply": "2025-03-03T16:27:35.096866Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cg = Week_Graph.plot.area(colormap='jet', figsize=(16, 8), title='CVEs Per Week')\n", + "plt.grid()\n", + "cg.set_ylabel(\"New CVEs\");\n", + "cg.set_xlabel(\"Date\");" + ] + }, + { + "cell_type": "markdown", + "id": "989be730", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "source": [ + "\n", + "\n", + "### CVE Per Day Graph" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "smooth-stupid", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:27:35.099487Z", + "iopub.status.busy": "2025-03-03T16:27:35.099105Z", + "iopub.status.idle": "2025-03-03T16:27:35.362529Z", + "shell.execute_reply": "2025-03-03T16:27:35.361936Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cg = Day_Graph.plot.area(colormap='jet', figsize=(16, 8), title='CVEs Per Day')\n", + "plt.grid()\n", + "cg.set_ylabel(\"New CVEs\");\n", + "cg.set_xlabel(\"Date\");" + ] + }, + { + "cell_type": "markdown", + "id": "51593e0c", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "source": [ + "\n", + "## CVSS Data" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "0652f359", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:27:35.364631Z", + "iopub.status.busy": "2025-03-03T16:27:35.364275Z", + "iopub.status.idle": "2025-03-03T16:27:35.509829Z", + "shell.execute_reply": "2025-03-03T16:27:35.509312Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "nvd['BaseScore'].plot(kind=\"hist\", colormap='jet', figsize=(16, 8), title='CVSS Scores');" + ] + }, + { + "cell_type": "markdown", + "id": "f0210783", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "source": [ + "## CNA Data\n", + "\n", + "### CNA Assigner Graph" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "96ff98c6", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:27:35.511649Z", + "iopub.status.busy": "2025-03-03T16:27:35.511458Z", + "iopub.status.idle": "2025-03-03T16:27:35.736958Z", + "shell.execute_reply": "2025-03-03T16:27:35.736332Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "nvd['Assigner'].replace('416baaa9-dc9f-4396-8d5f-8c081fb06d67','cve@kernel.org',inplace=True)\n", + "nvd_frequency = nvd['Assigner'].value_counts()\n", + "nvd_frequency = nvd_frequency.reset_index()\n", + "nvd_frequency.columns = ['Assigner', 'CVEs']\n", + "nvd_frequency['Percentage'] = round((nvd_frequency['CVEs'] / \n", + " nvd_frequency['CVEs'].sum()) * 100)\n", + "nvd_frequency[nvd_frequency.CVEs > 100].head(50)\n", + "nvd_frequency_no_mitre = nvd_frequency[~nvd_frequency.Assigner.str.contains('cve@mitre.org')]\n", + "nvd_frequency_no_mitre = nvd_frequency_no_mitre[nvd_frequency_no_mitre.CVEs > 1].head(20)\n", + "plt.figure(figsize=(10,10))\n", + "plt.barh(\"Assigner\", \"CVEs\", data = nvd_frequency_no_mitre, color=\"#001d82\")\n", + "plt.xlabel(\"CVEs\"); \n", + "plt.ylabel(\"\") ;\n", + "plt.title(\"Top 20 CNAs\");\n" + ] + }, + { + "cell_type": "markdown", + "id": "aa3ea191", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "source": [ + "\n", + "\n", + "## CWE Data" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "6815f0a1", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:27:35.738742Z", + "iopub.status.busy": "2025-03-03T16:27:35.738534Z", + "iopub.status.idle": "2025-03-03T16:27:35.966315Z", + "shell.execute_reply": "2025-03-03T16:27:35.965776Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "nvd_cwe = nvd['CWE'].value_counts()\n", + "nvd_cwe = nvd_cwe.reset_index()\n", + "nvd_cwe.columns = ['CWE', 'CVEs']\n", + "nvd_cwe_graph = nvd_cwe[nvd_cwe.CVEs > 10].head(25)\n", + "plt.figure(figsize=(10,10));\n", + "plt.barh(\"CWE\", \"CVEs\", data = nvd_cwe_graph, color=\"#001d82\");\n", + "plt.xlabel(\"CVEs\"); \n", + "plt.ylabel(\"CWE\") ;\n", + "plt.title(\"Most Common CWE in CVE Records\");\n" + ] + }, + { + "cell_type": "markdown", + "id": "1cbec814-905a-4028-b72f-98da5081b10d", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "source": [ + "\n", + "\n", + "## More CVE Data" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "5dbbc915", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "source": [ + "\n", + "\n", + "\n", + "### Top CNA Assigners" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "04a26e54", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:27:35.968274Z", + "iopub.status.busy": "2025-03-03T16:27:35.968077Z", + "iopub.status.idle": "2025-03-03T16:27:35.979196Z", + "shell.execute_reply": "2025-03-03T16:27:35.978702Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + "
AssignerCVEsPercentage
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\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "show(nvd_frequency, scrollY=\"400px\", scrollCollapse=True, paging=False)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "0aa62111", + "metadata": {}, + "source": [ + "### Top CWEs" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "8af1def8", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:27:35.981008Z", + "iopub.status.busy": "2025-03-03T16:27:35.980667Z", + "iopub.status.idle": "2025-03-03T16:27:35.986914Z", + "shell.execute_reply": "2025-03-03T16:27:35.986443Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + "
CWECVEs
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\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "show(nvd_cwe, scrollY=\"400px\", scrollCollapse=True, paging=False)" + ] + }, + { + "cell_type": "markdown", + "id": "aa164366-d0e6-4ca5-890b-95ea69f2801c", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "source": [ + "\n", + "\n", + "\n", + "### CVEs By Identifier" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "661f28f1-9568-4e97-acb3-75e45e596f1f", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:27:35.988688Z", + "iopub.status.busy": "2025-03-03T16:27:35.988343Z", + "iopub.status.idle": "2025-03-03T16:27:36.058401Z", + "shell.execute_reply": "2025-03-03T16:27:36.057790Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CVE-1999:\t0\n", + "CVE-2000:\t0\n", + "CVE-2001:\t0\n", + "CVE-2002:\t1\n", + "CVE-2003:\t0\n", + "CVE-2004:\t0\n", + "CVE-2005:\t0\n", + "CVE-2006:\t0\n", + "CVE-2007:\t0\n", + "CVE-2008:\t0\n", + "CVE-2009:\t0\n", + "CVE-2010:\t0\n", + "CVE-2011:\t0\n", + "CVE-2012:\t0\n", + "CVE-2013:\t0\n", + "CVE-2014:\t0\n", + "CVE-2015:\t0\n", + "CVE-2016:\t0\n", + "CVE-2017:\t4\n", + "CVE-2018:\t18\n", + "CVE-2019:\t3\n", + "CVE-2020:\t10\n", + "CVE-2021:\t40\n", + "CVE-2022:\t716\n", + "CVE-2023:\t285\n", + "CVE-2024:\t3290\n", + "CVE-2025:\t3756\n" + ] + } + ], + "source": [ + "print(\"CVE-1999:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-1999-')]))\n", + "print(\"CVE-2000:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2000-')]))\n", + "print(\"CVE-2001:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2001-')]))\n", + "print(\"CVE-2002:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2002-')]))\n", + "print(\"CVE-2003:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2003-')]))\n", + "print(\"CVE-2004:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2004-')]))\n", + "print(\"CVE-2005:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2005-')]))\n", + "print(\"CVE-2006:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2006-')]))\n", + "print(\"CVE-2007:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2007-')]))\n", + "print(\"CVE-2008:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2008-')]))\n", + "print(\"CVE-2009:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2009-')]))\n", + "print(\"CVE-2010:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2010-')]))\n", + "print(\"CVE-2011:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2011-')]))\n", + "print(\"CVE-2012:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2012-')]))\n", + "print(\"CVE-2013:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2013-')]))\n", + "print(\"CVE-2014:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2014-')]))\n", + "print(\"CVE-2015:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2015-')]))\n", + "print(\"CVE-2016:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2016-')]))\n", + "print(\"CVE-2017:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2017-')]))\n", + "print(\"CVE-2018:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2018-')]))\n", + "print(\"CVE-2019:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2019-')]))\n", + "print(\"CVE-2020:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2020-')]))\n", + "print(\"CVE-2021:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2021-')]))\n", + "print(\"CVE-2022:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2022-')]))\n", + "print(\"CVE-2023:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2023-')]))\n", + "print(\"CVE-2024:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2024-')]))\n", + "print(\"CVE-2025:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2025-')]))" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "20ee3a71", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:27:36.060240Z", + "iopub.status.busy": "2025-03-03T16:27:36.060056Z", + "iopub.status.idle": "2025-03-03T16:27:36.064265Z", + "shell.execute_reply": "2025-03-03T16:27:36.063693Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "text/markdown": [ + "This report is updated automatically every day, last generated on: **2025-03-03 16:27:36.060938**" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Markdown(f\"This report is updated automatically every day, last generated on: **{datetime.datetime.now()}**\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.11" + }, + "vscode": { + "interpreter": { + "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49" + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/CVEAll.ipynb b/CVEAll.ipynb index c07925b92d..c0006ec50c 100644 --- a/CVEAll.ipynb +++ b/CVEAll.ipynb @@ -15,10 +15,10 @@ "id": "91b44dc2", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:20:39.481584Z", - "iopub.status.busy": "2024-09-13T08:20:39.481410Z", - "iopub.status.idle": "2024-09-13T08:20:40.649860Z", - "shell.execute_reply": "2024-09-13T08:20:40.649270Z" + "iopub.execute_input": "2025-03-03T16:21:38.203367Z", + "iopub.status.busy": "2025-03-03T16:21:38.203186Z", + "iopub.status.idle": "2025-03-03T16:21:41.506387Z", + "shell.execute_reply": "2025-03-03T16:21:41.505920Z" }, "tags": [ "remove-input" @@ -99,10 +99,10 @@ "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:20:40.652385Z", - "iopub.status.busy": "2024-09-13T08:20:40.651978Z", - "iopub.status.idle": "2024-09-13T08:21:00.675022Z", - "shell.execute_reply": "2024-09-13T08:21:00.674348Z" + "iopub.execute_input": "2025-03-03T16:21:41.508315Z", + "iopub.status.busy": "2025-03-03T16:21:41.508073Z", + "iopub.status.idle": "2025-03-03T16:22:06.409453Z", + "shell.execute_reply": "2025-03-03T16:22:06.408875Z" }, "tags": [ "remove-cell" @@ -180,6 +180,10 @@ " description = entry['cve']['descriptions'][0]['value']\n", " except IndexError:\n", " description = ''\n", + " try: \n", + " vulnStatus = entry['cve']['vulnStatus']\n", + " except IndexError:\n", + " vulnStatus = '' \n", " new_row = {\n", " 'CVE': cve,\n", " 'Published': published_date,\n", @@ -197,12 +201,13 @@ " 'ImpactScore': impact_score,\n", " 'CWE': cwe,\n", " 'Description': description,\n", - " 'Assigner' : assigner\n", + " 'Assigner' : assigner,\n", + " 'Status': vulnStatus \n", " }\n", - " if not description.startswith('rejected reason'): \n", - " row_accumulator.append(new_row)\n", + " row_accumulator.append(new_row)\n", " nvd = pd.DataFrame(row_accumulator)\n", - " \n", + "\n", + "nvd = nvd[~nvd.Status.str.contains('Rejected')]\n", "nvd['Published'] = pd.to_datetime(nvd['Published'])\n", "nvd = nvd.sort_values(by=['Published'])\n", "nvd = nvd.reset_index(drop=True)\n", @@ -221,10 +226,10 @@ "id": "fb2368b3", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:00.677521Z", - "iopub.status.busy": "2024-09-13T08:21:00.677324Z", - "iopub.status.idle": "2024-09-13T08:21:00.716906Z", - "shell.execute_reply": "2024-09-13T08:21:00.716322Z" + "iopub.execute_input": "2025-03-03T16:22:06.411584Z", + "iopub.status.busy": "2025-03-03T16:22:06.411378Z", + "iopub.status.idle": "2025-03-03T16:22:06.456792Z", + "shell.execute_reply": "2025-03-03T16:22:06.456272Z" }, "tags": [ "remove-input" @@ -234,7 +239,7 @@ { "data": { "text/markdown": [ - "Total Number of CVEs: **262756**
Average CVEs Per Day: **29.12**
Average CVSS Score: **7.11**" + "Total Number of CVEs: **268892**
Average CVEs Per Day: **29.25**
Average CVSS Score: **6.91**" ], "text/plain": [ "" @@ -268,10 +273,10 @@ "id": "39c9867a", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:00.719225Z", - "iopub.status.busy": "2024-09-13T08:21:00.718878Z", - "iopub.status.idle": "2024-09-13T08:21:00.763588Z", - "shell.execute_reply": "2024-09-13T08:21:00.763086Z" + "iopub.execute_input": "2025-03-03T16:22:06.458949Z", + "iopub.status.busy": "2025-03-03T16:22:06.458491Z", + "iopub.status.idle": "2025-03-03T16:22:06.506697Z", + "shell.execute_reply": "2025-03-03T16:22:06.506153Z" }, "tags": [ "remove-cell" @@ -303,10 +308,10 @@ "id": "a776139d", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:00.766231Z", - "iopub.status.busy": "2024-09-13T08:21:00.765861Z", - "iopub.status.idle": "2024-09-13T08:21:01.199512Z", - "shell.execute_reply": "2024-09-13T08:21:01.198882Z" + "iopub.execute_input": "2025-03-03T16:22:06.508847Z", + "iopub.status.busy": "2025-03-03T16:22:06.508625Z", + "iopub.status.idle": "2025-03-03T16:22:07.184975Z", + "shell.execute_reply": "2025-03-03T16:22:07.184345Z" }, "tags": [ "hide-input", @@ -316,7 +321,7 @@ "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -350,10 +355,10 @@ "id": "endless-cylinder", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:01.202122Z", - "iopub.status.busy": "2024-09-13T08:21:01.201752Z", - "iopub.status.idle": "2024-09-13T08:21:01.401213Z", - "shell.execute_reply": "2024-09-13T08:21:01.400648Z" + "iopub.execute_input": "2025-03-03T16:22:07.187093Z", + "iopub.status.busy": "2025-03-03T16:22:07.186877Z", + "iopub.status.idle": "2025-03-03T16:22:07.401006Z", + "shell.execute_reply": "2025-03-03T16:22:07.400484Z" }, "tags": [ "remove-input" @@ -362,7 +367,7 @@ "outputs": [ { "data": { - "image/png": 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TDj/8M563z8uU8JaWlnwcRpIUi8UUDAZ1zDHHaODAgXrrrbcSj61cuVIbN27UmDFjJEljxozR4sWL1dDQkNimpqZG1dXVGjVqVGIb6zHMbcxjAAAAAACA4nGaOszQHaD8BALx5Ruqqnp/rOXLm7LaPuvA8o477tCzzz6buP39739fu+22m/baay8tWrQoq2PdcMMNevfdd7V+/XotXrxYN9xwg2bMmKHzzz9fO++8sy6++GJdffXVeuedd7RgwQL9+Mc/1pgxYzR69GhJ0tixYzVq1ChdcMEFWrRokaZNm6Ybb7xREyZMSFRIXn755Vq7dq2uv/56rVixQvfff7+ee+45XXXVVdm+dAAAAAAA0EtO4aRTiAmgtPI1JVwyl4LwLuvA8sEHH9Q+++wjKV6pWFNTo9dff12nn366rrvuuqyO1dDQoAsvvFAHH3ywvv71r2v+/PmaNm2aTjvtNEnSPffco29+85s6++yzdeKJJ2rEiBF68cUXE/v3799fU6ZMUf/+/TVmzBj96Ec/0oUXXqhbb701sc3++++v1157TTU1NfrSl76ku+66S4888ojGjRuX7UsHAAAAAAC95BROElgC5cessMyHzZvbsto+6zUs6+rqEoHllClT9P3vf19jx47V5z//eR177LFZHevRRx9N+/iQIUM0ceJETZw40XWb/fbbL+MksZNOOkkff/xxVucGAAAAAADyLxpNXQvP6T4ApWUGlkYe/p6wbVtnVttnXWG56667atOmTZKkN954Q6eeeqqk+OSfaDSa7eEAAAAAAEAFocIS8IfW1u68HSsSye6PEllXWJ511lk677zz9IUvfEHbtm3T6aefLkn6+OOPE9O+AQAAAAAAnLCGJeAPgUAob8fKdrBW1oHlPffco89//vPatGmT/vKXv2jHHXeUJNXW1upnP/tZtocDAAAAAAAVhCnhgD/ks8Iy22Ufsg4sBw4cqGuvvTblfqZuAwAAAACATJyCCyosUYn+/OdZGjSov66+ekypT8VRPqeEZ/s77nkNy5/97Gdqb29P3H766afV0dGRuN3S0qIzzjgjqycHAAAAAACVhTUsAamtLagbbnhL11wzXVu2BEp9Oo7q69szb+RRwQLLhx56SJ2dPRN9LrvsMtXX1yduB4NBTZs2LasnBwAAAAAAlYU1LAGpszOc+Hru3M0lPBNnhmGottYHgaVhm2Fuvw0AAAAAAJAJFZaAFAxGE19v2lR+FZatrUF1d0fydryCBZYAAAAAAAC95bSGJUVRqDTWMHDz5vILLOvq8lddKUnZ/ooTWAIAAAAAgKKhwhKQgsGewDLf4WA+5Pucsv0dz2pK+E033aRhw4ZJkkKhkP74xz9q5513lqSk9S0BAAAAAACcsIYlkNwS3tjYkWbL0qitze85ZVtF7TmwPPHEE7Vy5crE7a9+9atau3ZtyjYAAAAAAABunCssS3AiQAlZKyybmsqvCNCssKyqyr6d20nBKixnzJiR7bkAAAAAAAAkcVrDkgpLVBprhWVra7CgzzVt2mrttVe1DjtsD8/71NfHA8t8LS9bsDUsr732Wq1YsSLb8wEAAAAAAEhgDUsgucIyEChcYLlxY6u+8Y2ndNxxjzn+scBNbW2+h+4UaEr4f//7Xx166KH66le/qscee0wdHeXXXw8AAAAAAMqb0xqWTAlHpbFWWHZ0hAv2POvXt0iKh6KvvLIy/cYWvpkSvmrVKr3zzjv64he/qF/96lcaMWKEfvKTn2j27NnZniMAAAAAAKhQVFgCyRWW1q/zzTrQ57nnlnnezzcVllJ8qM6kSZNUV1ene++9V6tWrdLxxx+vkSNH6s4771R9fX1WTw4AAAAAACoLa1gCyRWW0ahRsCrjxsaegT5z5mzyvF9dXb6nhGe3fVaBpWmHHXbQT37yE7333nv69NNPddZZZ+n222/Xvvvum8vhAAAAAABAhTDDyaqq1PuASmGvqmxvD6VsYxiGli5tUDgcTXnMK+sE8k2bAp6C0VAoppaW7pyf00lBKyztOjo69N5772nmzJlqbm7WAQcc0JvDAQAAAACAPs5pDUsCS1Qaa4WlJNXWtqVs89//rtRhhz2gSy55JefnsbaEx2KG5s7dnHGf5ubCranpVU6B5axZs/STn/xEn/vc5/TLX/5SX/ziF/Xee+9p+fLl+T4/AAAAAADQhziFkwzdQaWxV1iuW9eSss0nn8SXXnzppRU5P4+1JVyS/v3vTzLu09yc/zU1s/0VH+B1w9raWj3xxBOaNGmSPv30U40ePVp33323fvjDH2rHHXfM9jwBAAAAAEAFcl7DsgQnApSQvcJyw4bWlG3Mdu7u7twDRGtLuCTNmLEh4z4tLaWvsPQcWO6zzz7abbfddMEFF+jiiy/WyJEjC3leAAAAAACgD2JKOJBaYbl5cyBlG7M6MhLJPdG3V1iuXr094z7bt8fPraoq+8rIdLL5PfccWD733HP69re/rQEDPO8CAAAAAACQxGkNS1rCUWm8rGFprj9pGPHK5P79s1/Z0bqGpSSFQlGtXdusAw7Y1XWfQq1h6VRd7cbzKx09erR+85vfKBBITXxbW1t13XXXqb6+3vMTAwAAAACAykOFJZBaYVlf35GyjbU6sq2tZ4r44sX1+s1v3sw4ydswjJSWcEmaNGlh2v3MwDLff0dw+mOFG8+B5d13361AIKDq6uqUx3beeWe1tbXp7rvv9vzEAAAAAACg8jhVWVFhiUpjr7Dcti01WLSGjc3NXYmv//CH93THHe/rd797O+1ztLeHUp5HkqZPX5N2v5aW/A/dkbJrbfccWL7xxhu68MILXR+/8MILNWXKFM9PDAAAAAAAKo9zhWUJTgQoIXuF5fbtydWShmEktXNv3drTMl5f3y5JmjNnU9rnsK9faVq6tDHtftu3+6glfN26ddp3331dH9977721fv16z08MAAAAAAAqD2tYAqkVlq2tyYFlIBBUONwT8G3Z0hNYNjfHt83UEu7UDi7FKy/TLcPgqzUshw4dmjaQXL9+vYYOHer5iQEAAAAAQOVhDUsgNbDs6Agl3bZXR9bVtSe+3r493h4eCATTPod94I6VtWLTKhqNqbW1MC3hBVnD8thjj9W//vUv18effPJJfeUrX/H8xAAAAAAAoPKwhiWQ2hLe3Z18214daQ0fzfUsOzvTV0KaoWdVVepjH31U6/j8TU2dBVuioSBrWF577bV6/PHHde211yZNA6+vr9c111yjSZMm6dprr83uTAEAAAAAQEVxqqYkr0SlsVdYWtu/pdTqSDN8DIej6uiIB5WhUOpAHSu3lnBJWrSoJ9t79tkl2mGHP+mPf3xPtbXuVZm9lU1L+ACvG5588smaOHGifvWrX+mee+5RdXW1qqqq1NraqoEDB+of//iHTjnllJxOGAAAAAAAVAantlBawlFp7BWWhhEPIAcN6i8ptSXcnCJurl8pxX+XYjFD/fo5lFAqfUv4ypVNia9ff321YjFD/+//va2BA+PZXlVV/v+QkE2FpefAUpIuu+wyffOb39Rzzz2n1atXyzAMffGLX9T3vvc97b333lmfKAAAAAAAqCxUWAKpFZaS1NTUoT33rJaUGjaaQaW5fqWptbVbu+7qPFPGDD2dfr/WrWtJfL169fbEdr/73QxJUr9+VVmtOelFNsfLKrCUpL322ktXXXVVtrsBAAAAAACwhiWg1ApLSVq/viURWNrbuc0BO+b6laYtWwKugWW6lvDa2p6hO2ZgKfVUQfbrJ0XTd5xnzd72no7nNSwBAAAAAAB6y6ywtGaUtISj0jhVWFqrHu0t4W1tZmDZnXT/2rUtcmM/hpUZZra1BVVfn9o6Xog/IoRC3qePE1gCAAAAAICicWoLpcASlcapwnLTpkDia3vY2N4ekpRaYblhQ4vrc6Rbw9KcML5mTXPS/eZE8Sqn0eK9lGlIkBWBJQAAAAAAKBrnNSxJLFFZurpSA8utW3vatO1hozkZ3L6G5ebNAblJ1xIejRrq6gontYNL0uDBVbrmmv3Uv7/7ueeKwBIAAAAAAJQl5zUsS3AiQAk5VVjW1bUnvraHjd3d8e3tLeG1te1yEgpF1doaTHsOy5Y1JgJLa2XlCSfs6r8Ky5tuuknvvPOOuru7M28MAAAAAABgQYUl4DYlvCektLeEmwNr7C3hDQ3Obd/pqitNH31UmzQhvNAKOnRnzpw5+ta3vqVddtlFJ5xwgm688Ua9+eab6urqyrwzAAAAAACoaKxhCThXG5rt3t3dkcSalSazMtleYbltm3Mw6SWwtFZYFkNBKyxramrU0tKit956S2eccYY+/PBDnXXWWdpll110/PHHZ3s4AAAAAABQQaiwRKUzDMMxvGtpiYeRTsNyDEMKh6Mpa1jaA0xTuoE7plWrtpdtYDkglycYMGCAjjvuOO2+++76zGc+o5122kkvv/yyVqxYkcvhAAAAAABAhWANS1Q6t+CurS2+5qRbdWQgEEwJKAMB53Uq7S3lTtata9aWLW0Zt8uXglZYPvzwwzrvvPO011576atf/areeOMNHX/88frwww/V2NiY7eEAAAAAAEAFocISlc5p/UpJ6uyMD9ZxCxubmjpT1rA0p4c7bSv1DNNxsnGj+4TxQohEClhhefnll2v33XfXNddco5/97Gfacccdsz0EAAAAAACoUE5rWAKVxGlCuNRTgWi2c1dVJVcfb9nSltIS7nYsLy3h9nUyC62gFZYvvviizj//fD3zzDPafffd9dWvflW//e1vNX36dHV2Zi43BQAAAAAAlcu5wrIEJwKUiFuFZSxmKBYzXCssa2vbUlrCo1HDsULZPIaX3610VZj5lM2U8KwrLL/zne/oO9/5jiSptbVV7733np5//nl985vfVL9+/dTd7bzYJwAAAAAAgNMalhKJJSqHW1WkJM2atdF1DctNmwLq7k7dt60tpOrqwUn3eZkSbirWHwwKGlhK0rZt2zRz5kzNmDFDM2bM0NKlS7XrrrvqhBNOyOVwAAAAAACgQsQcMgsqLFFJ3CosJenhhxdohx0GSkr9vVi/vsVxn61b21ICSy9Dd4otEilgYHn44Ydr+fLl2nXXXXXiiSfqpz/9qb72ta/piCOOyPZQAAAAAACgwjAlHJUuXYXlO++s17HH7uX42ObNzkNy1q1r1iGHfDbpPi9rWBZbNmtY5jR052tf+5oOO+ywbHcFAAAAAAAVzmkNS1rCUUnSVVhu3dqm2tp2x8fq6pzv37ChJeW+bFrCi6WgFZYTJkyQJIVCIa1bt04HHnigBgzIqbMcAAAAAABUGKcp4VRYopKkq7CUpPnztzje79bmvWlTW9LtWMwoy8AyHC7glPCuri5dfPHFGjZsmA499FBt3LhRkvSLX/xCf/7zn7M9HAAAAAAAqCDOFZZA5UhXYSk5h/qS1NzcJSl1qndtbXJgWVfX7nqMUsqmwjLrwPI3v/mNFi1apBkzZmjIkCGJ+0899VQ9++yz2R4OAAAAAABUENawRKXLVGHppr095Hh/fX1yq/jy5Y05Hb/QCrqG5csvv6xnn31Wo0ePVpUl0j300EO1Zs2abA8HAAAAAAAqCBWWqHSZKizduAX727Z1Jd1evrxJUrwSs5z+GJBN1WfWFZaNjY3aY489Uu7v6OhICjABAAAAAADsnNewLKNUBSgws8Iy1xjN/utitoqbli0rzwrLcLiALeFf/vKX9dprryVumyHlI488ojFjxmR7OAAAAAAAUEGosESly7XC0k1razDptllhWW5/ByjolPA//elPOv3007Vs2TJFIhHde++9WrZsmWbPnq2ZM2dmezgAAAAAAFBBWMMSlS7XNSzddHQkr21ZrmtYFnRK+PHHH6+FCxcqEono8MMP1/Tp07XHHntozpw5OuaYY7I9HAAAAAAAqCBUWKLS5bvCsru753jbt3epvr4jr8fPl2x+97OusJSkAw88UP/85z9z2RUAAAAAAFSwbAZvAH1RvissI5GYDMNQVVVV2VZXSgWusAQAAAAAAMgVFZaodPmusJSkzs6wpJ71K8tRNmtYeg4s+/Xrp/79+6f9b8CAnAo2AQAAAABAhXBaw1JiUjgqh1lhmc9Lvq6uXVLPhPBcJ5AXUkGG7rz00kuuj82ZM0d///vfFYt5f2IAAAAAAFB53CosDaM8QxYg3wpRYbl+fYsOPPAzZTshXMpuOQjPgeWZZ56Zct/KlSv1m9/8Rq+++qrOP/983XrrrZ6fGAAAAAAAVB630CIWM9SvH4kl/CsSiWn16u06+ODdVJUmfc/3GpaStG5di6TynRAuSZGI98AypzUst27dqp/+9Kc6/PDDFYlEtHDhQj3xxBPab7/9cjkcAAAAAACoEG4VlqxtiWL44IPNOv30p7R0aUPej33//fM1cuRE3XLLzLTbFaLCctOmVrW3h7RhQ2vej50vBVnDUpJaW1v161//WgcddJCWLl2qt956S6+++qoOO+ywrE8SAAAAAABUHrc1LAksUQxPPLFIb7yxWpddNiXvx/7ggy2SpLvumpN2u+7u/FdYTpnyqVauLN+BO5L7774Tz4HlX/7yFx1wwAGaMmWKnn76ac2ePVsnnHBCTicIAAAAAAAqExWWKKWOjvg07RUr8h/u1da2SZLa20P69FP34xeiwvKjj+p0//3z837cfCrI0J3f/OY3Gjp0qA466CA98cQTeuKJJxy3e/HFFz0/OQAAAAAAqCzp1rAECs2sbmxtDeb92Fu3tiW+vvfeDzRx4njH7XqzhmVVlftAncceWyhJ6tdPKse52AUZunPhhRemXTAUAAAAAAAgEyosUUpmYBmJxBQKRTVoUP+8Hbu2tj3x9dSpq1y3K0SFpVU5hpWSFMvixDwHlpMmTcrlXAAAAAAAABJYwxKl1NUVTny9bFmjjjxyRF6O29ERUiDQU7W5YUOrQqGIBg1Kjd4KMSXcD7KpsMxpSjgAAAAAAEAuqLBEKVkH3syfvyVvx7VWV0rxtu1JkxY5btubCku3dnA/KNiUcAAAAAAAgN5gDUuUUldXT2D5ySf1eTuuOXDH6skn3QLLyqywzKYlnMASAAAAAAAUjVsw6dYqDuSTtcLy00+35XQMwzC0cGFdUgu4vcJSkhYsqHXcv9BrWJYrWsIBAAAAAEBZYg1LlJJ1DcuNG1tzOsbcuZt11FEP6Vvfmpy4z5wQbp1X3d0d0UcfbU3Zv1IrLAksAQAAAABAWWINS5SStcKyvr4jp2MsXdooSXrvvY0y/reopFNLuCTdf//8lPsqtcIym99xAksAAAAAAFA0boM3ihFYBgJBtbUFM2+IPsu6hmWu10JDQzzoNAxpzZpmST0t4fahOCtWpLadW0PTSkKFJQAAAAAAKEulqrCMRGI67LD79cUv3sd6mRXM2hIeiRg5tWc3NvZUZs6atUFST0u4XVtbKOW+ym0JZ+gOAAAAAAAoQ6WaEt7WFtSmTQHV1bVr3rwtBX0ulCfDMFLasRcvbsj6OA0NnYmv58+Pr1HpNHRHcq7ipCU8MwJLAAAAAABQNKWqsLSGRLmuXQh/C4djKdfZ/PnZh9dmS7gkLVvWJMl9DcuOjtQKy1CoMgNLWsIBAAAAAEBZKtWUcGsbbnNzd0GfC+XJae3IXCosrS3h69e3qKsr7HpNdXYmP2ckkhqaVgpawgEAAAAAQFlyC2sKva6ktaqtubmroM+F8uQUWK5c2ZT1cawVlg0NHaqrc24Hl1KrKSt1/UqJlnAAAAAAAFCm3NpC3aaH54u1JTwQoMKyElkH7pg2b3Zu5XZjGIYaG3vWsOzsDGvLloDr9vbrulLXr5Ti3zuvCCwBAAAAAEDRuFVZFT6w7KlsCwRS1xWEf7344nLV1KzJuJ1ThWVDg3t1pJOWlu6Ua/Wjj+pct4/FjKSgjgpLbwYU8DwAAAAAAACSuLV+ZzOQIxfW1txAIHVyM/ypublL55zzvPr3r1Jr6280dOhA1227ulLDwra27MJrazu46c0310qSqqokpyLC9vaQdtppsKTKrrCkJRwAAAAAAJQlt67QYraEt7dTYdlXNDd3KxYzFA7HNG9e+onfThWW0aihzk7v14O1Hdz04Ydb0+6zfXvPmqlUWHpDYAkAAAAAAIrGvcKyeC3hXgLLSCSmDz7YXPAgFb3T2dmzLuX69S1pt3UKLCVp0aJ6z8/nVGFZWxtvK3cL483HpcqusMxiCUsCSwAAAAAAUDylWsPS2hLe0ZE6fMXuvvvmafToR/W7371VyNMqKxs3tqqpKbWCsJxZA8sNG1rTbus0dEeS5s9PXyFp1dgYDyyrqjzvkjSUhwpLbwgsAQAAAABAURiGURYt4V5agFesaJIkPf/8soKdUzkJBIIaNWqijjrqwVKfSlasgeXWreknfrtVWC5e3LsKy0zq6qiwlJgSDgAAAAAAylC6CqtIpLBDd6yVbU7DV+xaW+ODecLhymgJ37ixVR0dYW3e3JZUEVjurIFlfX36id/mz91eHblq1XbPz2cGltm0N1vPq5IrLGkJBwAAAAAAZSfdJPBitoS7VdpZtbR0S5IikcqoiGtt7U58bQ0By11HR0+1rNNAHCu3n/umTelbya0yPYeTpibr0J3KuJ6cUGEJAAAAAADKTroKy8IP3ekJirxVWJqBZWErP8uFWVEqua/1WI6s4ap1GrcTt8CyocF7CJlLS7h1XdBKrrBkDUsAAAAAAFB20oWShV/DMuL4tRszwCt0kFouzIpSyV8VltZztYauTtyCWGuVZia5BJYtLT1BqhmaZjO0pxIRWAIAAAAAgKJIX2FZ2EpGa0u49Ws3ZoBX6PMqF9aWcC8VqOXCGli2t6cPLN0qLA1DamryFkTm0hLe0tJzXpXdEu59WwJLAAAAAABQFOnCv2K2hHsJLM0Ar1IqLK3ViX6tsMy0NqkZxDoFZ/Pmbc34XLGYkdTebZWuYrKtzRpY+icMzjfWsAQAAAAAAGWnlBWW1qAo03OFw1F1dMSDsGzW3fMzvw7dsZ5rponu6QLNDz/MHFhu397lej2ky+La23taziu5wjIbBJYAAAAAAKAoSrmGpbWqMlPVZCDQUxFXOS3h1qE7/qkCtAaWhpE+lEw3TGjJkoaMz5XL+pWSEuG3VNkVltkgsAQAAAAAAEVRLlPCM1VNWgfQZNPG6mfWwLK7258VlpLU2OgeKqYLM9esac74XLkGltbnpcLSGwJLAAAAAABQFOnXsCxeS7hhpA8treFdpbSEW0NaP1VYWqsXJWndOvfgsbvbPSzcurUt43OlC0PTsbaqU2HpDYElAAAAAAAoilJWWNoH7aSrtkuusCzYKZWVvjAlXJLWrWt13TZdS3hzc1fG5zIrLNMN2HFivbbNCstKua5yRWAJAAAAAACKIl0oWfgKy+TAsqMj5LJlcnhXiS3hfqoCtAeWmza5B5bpQupgMJoxNM+1Jdww4oOc4s/jn+9tKRFYAgAAAACAoiinCst0gWWlV1imC/bKjT2w3LIl4LptpsrRVau2SZJ+//t3dO65L6itLZj0eGNjp6TcrgkzEGYNS28GlPoEAAAAAABAZSjtGpbJQZG1otDO/phhGKrKtg/YZ6whrZ9CNXtgWVfX7rptpiB27twt2nHHwbr11nclSStWNGnevEs0cGB/SblXWJr7fvazw3z1vS0lKiwBAAAAAEBRlHZKeHJY1dTU6bqtNbyTpEiksOdWarGYofb2nopTP1dYpvu5ZnpdH39cq//8Z1ni9sKFdTr77OcSywKYFZa52Lo1XvlJS7g3BJYAAAAAAKAoSrmGpb0lvLm522XL5PZoKXnKc18UCAST2pz9FKrZA8vt291/rumG7kjxisrnn1+WdN+rr36qa66ZLql3FZbmFHIqLL2hJRwAAAAAABRFugrLQlcx2oMiexWllb0lPBSKatiwgQU5r3JgD2j9FKp1dCSHkOl+rpkqLJcvb9KmTalrYN5zz1wddNCuvQos6+ri+/opDC4lKiwBAAAAAEBRpF/Dsrgt4c3NXa7b2kMvc8JzqYVCUR199EM699z/5PW49oDWT6GavcLS2tqeaVs7p7DS9POfv67t292vmUzMsNNPYXApEVgCAAAAAICiKKcp4YGA96E79n1L5dNPt+njj+v0zDNL01YSZsteYRkK+aMFPhYzUqomu7vdQ0mva3M6zVfq7bT4bdvi61/6KQwuJQJLAAAAAABQFKVcw9Je2ZYusEytsCyPAM96XuYQl3xIDWj9Eao5rUmZ7mfltbqxt+Gkk23burI6h0pX0sDy9ttv1//3//1/2mmnnbTHHnvoO9/5jlauXJm0TXd3tyZMmKDddttNO+64o84++2zV19cnbbNx40aNHz9ew4YN0x577KHrrrtOkUjyL9eMGTN09NFHa/DgwTrooIM0adKkQr88AAAAAABgUU5Twtva3FuH7RWH5TI12xpYNjTkPrHaLnXIkD9CNacWb8NwrmKMRmMlrZQ1f3ZUWHpT0sBy5syZmjBhgubOnauamhqFw2GNHTtWHR09i5heddVVevXVV/X8889r5syZ2rp1q84666zE49FoVOPHj1coFNLs2bP1xBNPaNKkSbrpppsS26xbt07jx4/XySefrIULF+rKK6/UJZdcomnTphX19QIAAAAAUMnSr2FZ3ArLdIGlfYJ4punSxWINFhsbcx8AY2evKC2XFvhM3NakbGxMDXO9VjY6tYPng1nRS4WlNyWdEv7GG28k3Z40aZL22GMPLViwQCeeeKJaW1v16KOPavLkyTrllFMkSY8//rhGjhypuXPnavTo0Zo+fbqWLVumN998U8OHD9eRRx6p2267Tb/+9a918803a9CgQXrwwQe1//7766677pIkjRw5UrNmzdI999yjcePGFf11AwAAAABQidJXWBY6sEyubOvocA4sDcNIaRfPNKylWKzBolMol6vUlvDyaIHPxO3nsm5ds/beuzrpPq+hcyHawaWegJwKS29KGljatba2SpI+85nPSJIWLFigcDisU089NbHNIYccon333Vdz5szR6NGjNWfOHB1++OEaPnx4Yptx48bpiiuu0NKlS3XUUUdpzpw5Sccwt7nyyisdzyMYDCoY7PllDQTi60KEw2GFw84XuHm/2+NAueGahZ9wvcJvuGbhN1yz8BOuV38LBuOhTVWVNGRIvOmzuzsmw5AMI1rQn6tZ2VZVFQ+lurpCjs/X0RFSJJIc2LW3B3M+t3xes+bgFknavr0jb9+v7duTw89oNOaL37FAIL4upHk9dXXFf25r127T6NF7Jm3b1tYT9g4dWryG43DYUCRiJK43c3mBwYOr1K9fgco5e8H83uTze2QYhrq7s0uCyyawjMViuvLKK3XcccfpsMMOkyTV1dVp0KBB2mWXXZK2HT58uOrq6hLbWMNK83HzsXTbBAIBdXV1aejQoUmP3X777brllltSznH69OkaNmxY2tdRU1OT4ZUC5YVrFn7C9Qq/4ZqF33DNwk+4Xv1pyZJ2SdJeew3WffeNlCT96lcrtGFDt3beeZumTp1asOc2B8l86Us7aeHCNu29d9jx+bZvjwd1/frpf0GqVFe3SFOnLuvV8+fjmv344y2Jr2OxzXn7fi1Zsinp9kEHGQX9WeTL0qXx6+lznxus++8fqUsvXaaGhpDq6lZo6tTk11RbGy9MGzq0n55++oiineMbbzTpwQc3a999B2jq1Klqb4+HrHfeebD22WdI0c4jW489dljejhWJGPre9xZltU/ZBJYTJkzQkiVLNGvWrFKfim644QZdffXViduBQED77LOPxo4dq+rqasd9wuGwampqdNppp2ngwIHFOlUgZ1yz8BOuV/gN1yz8hmsWfsL16m9Dh66XtFpbtgR17rmfSIpXWEpSY+MuOuOMwizbFosZikQWSpIWL26TJC1aFNFjj52Rsu2yZY2SlipmKbIcPPgLOuOMUTk9dz6v2VdemSqpUZK0YcMOuuGG1PPPxeTJL0valri9eHFETz6Zn2MX0oABayWtVm1t/Hoyr6UNG3bS1Vd/I2nbJUsaJC1XV1csce0VQyQSryz85JN2jRz5VbW1LZQkXXfdSlUVasHMXhg6tJ8ee+ww/eQnSxIVq71l5NBnXxaB5c9//nNNmTJF7777rvbee+/E/SNGjFAoFFJLS0tSlWV9fb1GjBiR2GbevHlJxzOniFu3sU8Wr6+vV3V1dUp1pSQNHjxYgwcPTrl/4MCBGd9cvGwDlBOuWfgJ1yv8hmsWfsM1Cz/hevWnfv36SzJbspPDkGhUBfuZWqd8R/8386SzM+L4fJ2dqUNRgkGj1+eWj2s2EOhZd7OlJZS375f1uJIUDMZ88fsVDMavIfv1VFfXkXL+0WhPOJivIC4bwWBMU6euSdyOt0gXdt3W3ujqipXk+2Qq6ZRwwzD085//XC+99JLefvtt7b///kmPH3PMMRo4cKDeeuutxH0rV67Uxo0bNWbMGEnSmDFjtHjxYjU0NCS2qampUXV1tUaNGpXYxnoMcxvzGAAAAAAAoPCiUfcApJBDd5ymXltDTCv7xGwpHm6WA+uUcHvImK/jSkpZw7NcmUN37IWKjY1dKduWetJ7LGbo5ZdXSCrcJPK+pKSB5YQJE/Tvf/9bkydP1k477aS6ujrV1dWpqyt+Ye288866+OKLdfXVV+udd97RggUL9OMf/1hjxozR6NGjJUljx47VqFGjdMEFF2jRokWaNm2abrzxRk2YMCFRJXn55Zdr7dq1uv7667VixQrdf//9eu6553TVVVeV7LUDAAAAAFBp0k0JT/dYbzlNZnab1mxOzLaGSsFgeQygsYapbW3BNFtmxz4lPBxODXjzxTAM3X77e3r77XW9PpbblPDt21MDS7eAupjee2+jpMJNIu9LStoS/sADD0iSTjrppKT7H3/8cf3f//2fJOmee+5Rv379dPbZZysYDGrcuHG6//77E9v2799fU6ZM0RVXXKExY8Zohx120EUXXaRbb701sc3++++v1157TVdddZXuvfde7b333nrkkUc0blxh1sYAAAAAAACp0lVRFrLC0pwQbuVUdSmlVhtKUldX6cMuKTmw7OjIX4hazArL+fO36re/fVu77jpE27Zdn/U6joZhJPZxCyzL9WdYyFC+rylpYOll0c0hQ4Zo4sSJmjhxous2++23X8bpVSeddJI+/vjjrM8RAAAAAADkR/oKy8KFZE7hZDjs/HxOLeFOgWcpWM/NLazr7XGlwgaWdXXxyd7Nzd3q6opo2LDUtTINw9DWrW3aa6/kwcfXXDNNL764XPPnX6rPfnaY6/egrS21Xb4cKiyleOUuFZaZlbQlHAAAAAAAVI5SrWHp1P7tFsqZ7dHWUKkcwi7DMJKCxXytyRiJxFKqNQv5s7C+hkDAua39rrvmaO+979GDD36YdP8LLyzX+vWt+tvf5krqCW3tAaDTz8u8r9TrRxJWekNgCQAAAAAAiqJ0a1imVki6hXLOFZalDyy7uiJJVaH5anF2Cg3TBcu91dzcs75kU1On4zYffVQrSZo4cX7S/ebPZtWq7ZLcq0yd1uAs9dAdZIfAEgAAAAAAFEWp1rB0agl3C0jtA2ik8qiwtAepoVB+zslpvcdiVVia7eF227bFQ81AoGdbwzASrd6NjR2S3ANLw5A6O5PbwsvhZ1jq6k4/IbAEAAAAAABFYYaETsFNIdewdKuQdKokLNc1LO3BotsanNkfNzWgLWS1a3Ozl8AyXnlpbVVvbw8lzssMNNMNHlqypCHpdjkM3aEd3DsCSwAAAAAAUBSlW8PSOXB0CrGcKg7dJooXkz1Izdf3y+n1FjKwtL4Os1LSbvv2eCBprYq0BqvmMdINHlqwoDbpdjlUWMI7AksAAAAAAFAU6YKwYreES1JHR+o06XJdw9J+XrGYISMPJXulrLBsbHRew9KssLT+3KzBaltb/JzTBZaLFydXWJqBJVWO/jCg1CcAAAAAAAAqQ7pQsrBDd5wDR6fA0inAC4UK167ulVur+pAh6aMdwzC0Zk2z3ntvg4LBqC699Bj169fTk28GgVVVPWFePoJQN9ahO2YlpVU4HFUgEP+5WCe5W38uZlCZLrBctWpb0m2G7vgLgSUAAAAAACiKUk8Jt4ZyUnK1X899qSFavgbc9IZTYNnWFkwbWL722qe69NIp2rq1LXFfKBTVL395bNrjFqsl3Ol7bf2ZGEZ8GYH+/fslVVia63emCyw3bQok3aYl3F9oCQcAAAAAAEWRbg3LQoZkbi3h9gq/SCTmOMglHC6fNSytA4sCgdRqUKs///n9pLBSkqZNW51026miNPnxbk2Y8Jref39jFmfrzhpIOoWlZju4yZwMbn2tsZihSCSWNrBsaEheH7Mchu7AOwJLAAAAAABQFKWrsHQOq+yBpVsAWA4t4WawaK0QtYdyVs3NXZo9e5PD/ckhoVm5aD2u9espUz7V/fd/qPPPfzGHs3Y+L5PT99ucAG4yf0b2YHXbts60gaUZdJqosPQXAksAAAAAAFAUpVvD0rlC0l7h5zQxWyqvCkurhgbnoTWSVFOz1vF7ag8J3SoszWpYM/jbsqXNcbtshMPRpApWe6gopYbIW7cG/neeya9/48ZWxzVITZFILKmylsDSXwgsAQAAAABAUZTblPDUwNI5vDPXTCwlp8Cyqcm9wnLq1FWSklvIpZ4J26ZMr9kM+qwDcHJlfy6nCkl7S/jWre2O+65d2+zYvm+1fHlj4mtawv2FwBIAAAAAABRFqdawdGsJt4dgTqGgVM6BZerQGin+vXz99fhalfaB3+3tySFfpqpSa2Vib6sU7UN2nCok7RWWdXVmYJl8nhs2tGac/D1//pbE11RY+guBJQAAAAAAKIpSTwm3S602dA7vIpHybAl3mrItSR9/XOu6vqU9uHMLac2qVOv2bs/nlf25urtTv6/2NSwbG+Ovwx4ur1/fkhLG2i1e3JD4OlO4ifJCYAkAAAAAAIqiVGtYmuGbPeAKBJIr/JwmcUvlW2HpFiCa7eBO7O3xbi3hToGlWe2YK/vAH6fKV3tLeGNjp+N5btrUmvH5Pv10W+JrKiz9hcASAAAAAAAURblNCW9vTw7B3KaE52P9xt5yCizdwsapU1e7Hsfelu/eEp68hqXU+8E79tfg9H3dvj15GzPAtJ9nbW3m8HTjxp5Qk8DSXwgsAQAAAABAUaRbw9LI1N/bC25Dd+xDW9yGuJRDhaVTOOkUsDY1deqDDza7HscwkgNct9DT3MYa9G3d2rvA0l4R6lRxa6+wNKsy7edp385JfX1PW7zTgB+ULwJLAAAAAABQFOW2hqV96ItbqFXqCsvu7ohjhaB9DU5JeuON1RnXdjSDw1Ao6vqazTUfC9kSLqVWv9rXsDRDWXuFZUuLc9DqtK9EhaXfEFgCAAAAAICiKNUalm6BZVdXcohlhnf2wK/UgaVb27Z94ncoFNUf//iepNR1OK3MykNzoI0T83thDfrcBvl45dTW3taWHBrbp4Sboax9X6cJ43bhcCzxs7P/rFHeCCwBAAAAAEBRmKGkUwVgMYbu2NlDLLcQLF0rezG4TfK2n++9987VihVNkpy/x6ZNmwKSegbaODG/N9bAsqkpcxt2Ok5Dguz32Vu929vDMgwjpf3da5v+qlXbZBiG6zqmKE8ElgAAAAAAoCjSBX+lGLpjtj2bOjudt0tXGVoMboGl9fy3bAno1lvflZS+ujK+bXwtymwrLN2mknvl1MZtbTPv6go7VL2G1NkZzvlnMH/+FoVC0Yxt8igvBJYAAAAAAKAoym0NS3uQ6bcKS2u4d911NWpvj59/pnCurs4MLN0rJp0CS7fz8Mop8LQGlvZ2cPP53QYDSZnD2UWL6lm/0ocILAEAAAAAQFGUag1Lt5bw7u7k+90G0BTy3Lxwn+QdP/8PPtisp59e4vl49jUsnUI/p5bwQCDzupHpOAWe1nUx7QN3JCkUirmu4enFypXbCCx9iMASAAAAAAAURekqLJ0Dq3A4ObDs6HAOLMulJdweLJrn/+67G7I6nrlOZLoKy+7u1ApLs4IzV05Twq3n4FRhGY3G0lZYZrJxYysDd3yIwBIAAAAAABRFsdawrK9v18yZ6xO33VrC7YNb3CosjRIvgOjWim1OwF6/viWr45mVjGaFpdPLM0M+a9jnZTJ3Oi0tqYGkdciOfeCOeW5OQaZXdXXtVFj6EIElAAAAAAAoinShZD4zwYsuelknnfSEpk1bI8m9JdwM/ExugVypW8LdAkuz8nPdupacjpftlPDeBH+GYThWWG7f3nOfGaTaK0lra9tyft7t27tShiuh/BFYAgAAAACAoijWGpYbNrRKkp58cqEk95bwWMxrhWXeTi0nZsDodB6RSCzrwDIQiLdYpwssze+ZNeyzt9Bno7095Pjzt4axbpWUtbXxwTxOa21m+tlEo4aee26p9xNFWSCwBAAAAAAARZG+wjJ/qaBZKWm2GLu1hNvyStc1Gsu1JVyS2tqCWbeEm6+zqSndGpapFZaRSO7fB7fXEAhYKyzj52P/dmf7+uwmTVrYq/1RfASWAAAAAACgKIq1hqUZyJntxqGQeyuztWqw3Cssnaxd25x1q7b5Os01LJ2Yx7SHvbm2hTu1g0tSW1tPSOw0JVyKD87pjbo699eJ8kRgCQAAAAAAiqJYFZZmIGe2Pnd3u7cym9vGYkbaadKlrLJMNyX7k08asj5ed3dE0Wgs7TCbYDCqWMxIWf+ztdU9PE3HLXS1VrW6nc/WrfE1LEsdHKN4CCwBAAAAAEBRFGMNy2g0lqgKbGuLB31ua1hKPYFZpspB+4CeYkpXYblkSX3WxwuHY9q2rSttABgMRhy/bw0NuVUrNjc7h5HWqla3Cstcn9POaQ1MlCcCSwAAAAAAUBTpQkn7epK5sgZgHR3xr9MNizFDMrcJ4aZwuDwDy+XLmyRlF8bFYoYaGtrTbhMMRh1D3M2bA96fyMJ8DfbztFa1ulVYugWZ6LsILAEAAAAAQFEUo8LSDCmleNWkYRiuQ3ckqb4+Hty5rV9psrdGe/Xxx3Vqb89t3UdTS4t7YLd69XZJ2bdLZ1oXMhSKOAaWW7a0ZfdE/+O2hqW1itMcumOXz/VN4Q8ElgAAAAAAoCiKsYaltVIyHI4pEomlDfPMduNMgWW6Kk03n3xSr2OPfUx/+9vGrPe1Pm9np3vguWFDbgNp1q9Pv18wGHMMLOvqUisz16zZrkmTFqb9+bpViZqVq4ZhUEmJBAJLAAAAAABQFMWYEm4NHmMxI+PalE1N8ao+a2Wmk1wqLFet2iZJqq9Pbjdfv75Fl176auLxdNwqE3tzXpK0cmX6VnK3CkunyeLXXDNdP/7xf3XDDW+6Pp+5hqU9PDavifb2UMHXCWVoj38QWAIAAAAAgKJIX2GZn+ewB49mIOnGrOrLXGGZfZhmTikPhWJJFaSPPvqR/vnPjzRu3L8zHsNtWE1vrVq1Pe3j4bDzGpZO389Nm+LrWk6cON+1UralxXnSuWHEQ0uqK2FFYAkAAAAAAIqiOGtYJlczbt2afs1Fc9BLpqE7mSo1nbS2xkO6cNhIqoQ0g8x161o0ffqatMfIVGGZq/XrWyS5B8WhkHNg6TQYx2z37ugI64UXljseL13w2tYWcl2/EpWJwBIAAAAAABRFcdawTK6UNIM5N2bYlqnCsqsr/eNOrBWW1mnY1q+vuWa6p/PLt0zDc0Ih5zUsnc7HGkbedttMx+OlC15bW7tdJ4SjMhFYAgAAAACAoij2GpZS5uEyra091YGS+5qOmQLNdMcOhWJJ07CtQeCSJQ1avdp9LUszDHQ7r1yZYaqbcNg5sDSrRk2xmJF03yefNDi2jacLXuvrO2gJRxICSwAAAAAAUBTphqrkbw3L5NbuzZvTB5aBQHz7TIFkboGlWWFpJFVoWissJWnChKmux/DSEp7vMFNyX8OyvT2UctseNv/ud2+l7JeuJbyurj1RYVmI1wL/IbAEAAAAAABFUVfX7vpYoVrCa2vdn1OS2tuD/9sv/RqW9pDRC2sVoxmMSqnrYb755joFAs7BpJehO4WYfh2J9FRYWkNE+/fXqXLy6aeXpNyXrsKyoaFDa9akHwKEykJgCQAAAAAAisKcJu3EKXTr6gpn3SpuDx4bGzsybB8P4AqxhqW1Vbqtree87MeKxQzdeOM7jscwKywLEUqm49YSbr/PKYhsawvptdc+tRwrmhJ0WjU0dOjNN9dJKv7rRHkisAQAAAAAAAUXDEbU0OAeHtorLLdv79Jee92tr3/9iayexx48Zlob0dzeDNTcArNcpoRbKyytwZ7Tsd59d4PjMbxUWBaCtcLSyjrtXHKvnLz77jmJr53WtLRat65Zn3xSn8NZoq8isAQAAAAAAAW3ebN7daWUGlh+8km9mpu7NWPGhpR1E9OxV/LZh8TYmYFl5jUssw8szaE7Uk/rueTcXu4W6rW0pD//QnFbw9I+OMktsJwzZ3Pi6+nT16R9rnnztmY8H9a2rCwElgAAAAAAoODStYNLUsw2j2fr1rbE15nCTit7S3imsDMYjDrul7pd9i3h1grLdC3hknvwV24VloaRXGVpnrc9UOzqimjBgngQaa5p2a+fc+q4fHmj4zFQuQgsAQAAAABAwW3alH5at73Csra2J7Bct67Z8/PYKywzrT0ZDsfDt0wVlLkM3bGGkNbg1MvakCYvU8ILwS2wlJIrR9MN07n77jlqbOzQm2+ulSTX9UjD4XhazfqVMBFYAgAAAACAgjMrLN2q6OxhlbXCcsOG9GGnlb21Oxo10j5vJBJz3M/OrMT0KhqNJYWnbW09Xzs9VzRqpKwPKRW2wjJdRWM0aiQCS/vPxroWabrAsqZmrZ5/flniZ9AbhJmVhcASAAAAAAAUnFlh6R482Sss2y37ZtMSnl3rthmmZWoJz7bC0toCHj9+T3u4W+Xixo2pwez27aVpCY9G3SssrS36ZmDp9HNtbOzUP//5kSTavZEdAksAAAAAAFBwmUJHe+BlDSyt7eGZZAoenYRC0YwVlqFQdoGldf1KKbmq0i0IXLq0Iel2NBpLCT7zKV3VorXC0s5a/ZquwlKSFi6sy/hcEoEmkhFYAgAAAACAgss2sLSGYtYW5EyyrbCUpLa2YMb93MI7N9Z1HqWewNIwDNf28hUrmmzHKM2EcCm+3mR3t/N51tX1/DzytcYmLd+wIrAEAAAAAAAF15uhO01NnZ6fJ1OlpJNAIJj3NSxTKyzjgWe64HPNmuThQqWaEC6ZgaXzuTY09FS/ZqqwlKieRPYILAEAAAAAQEF1dIQyVuJZ88r29lBSK3Q2VXy5tIQ3NHRk3M9pIE469upIc1p5usDSvoZlqSaES+kDS2uA7CWwpHoS2SKwBAAAAAAABeVtaE5PqmVfs9JerZhOe7tz8JguNKuv78jYEh4MpoZ3998/X5dc8opisdSD28/ZHNqTbniPdd1OqbQVlobhHlhu29ZzXl4CSyBbA0p9AgAAAAAAoG/L1A4uJQeK1vUrJam93XtgmUtLeGNjh4ehO7GU+2688W01N3dr3LgDdc45hyY9Zl/D0gz/zEpLJ9u2Jbe+l2uFpTWkLGWoir6LCksAAAAAAFBQZoVlurUMrYGlvdLQ6/qR4XBU4XBqsJhJfX2HIpH0+9mnhAeDkUSg+PHHdSnb2ysszQE26VrC7dWK5u1SrQHpFq6ary0WM7KqfgW8IrAEAAAAAAAF5aXC0sreEp4pTDTlUl0pSXV1bRm3CYeTQ1Pr5HKnKkP7GpZmS3m6lnD7Y6VtCXcPV831RdvagqxPiYIgsAQAAAAAAAVlVlimC7esU8LtLeGGkRxGRqPOAWamdSjd1Nd3ZNzGPnTHuo9T67a98tDcP12FZSxmJD2PedxShYKZWsJZvxKFQmAJAAAAAAAKytvQnR72lnBJamiI3zdr1kZVV/9Zf/3r+ynb5DIhXEqeeu3G3mpurbB0aotOrbCMB5Hp1rCUkieFl3p9SLdqUPP7TGCJQiGwBAAAAADAZu3aZq1Y0VTq0+gzejt0R5LWr48fY/r0NersDOvPf04NLHNtCfcy3MYeWNbX94SqToGleZ+5/qSXCktJWrq0IavzKiS3cDUaNRQMRggsUTAElgAAAAAAWMRihsaMeVRHHfWQ2toYKNJbhmHkpcJyw4YWSdL69fH/bW9PrabMtSXcPtHbSWpg2VNh6XQu9mOaa2CmW8NSUlJQXupAMF24umJFU8nPD30XgSUAAAAAABaNjR1qaOhQd3dEb7+9rtSn43utrUHHQM8u3RqWkrRhQ7zC0gws7UNwpNxbws0hMulEIu5Dd5yCUnuFpRl4miGg2+TvNWu2J74udYVluunsH31Umzi/Uk0xR99FYAkAAAAAgEVdXfpWX2Rn8+bsqis7OkKO33dzcrgZWBpGamiZa4Wll1bydBWWTvuba1iaYZ456TzzGpY9369Sr2GZbjr7kiUNVFiiYAgsAQAAAACwsLYj5xqAoYeX9SutnNrBpfiakeFwVFu29FRfbt+eHOiZwWG2FX+Zqh6l1PDOuoalUwgZCCRXH0ajxv+2Td8Sbn399tdXTlav3k5giYIhsAQAAAAAwMJaYZnrEBf0MNevzBQimh3hZiWlXWNjpzZvDigWc28dz7Ul3AwT00lXYenUOt1TYRl/4eZ5Zxq609TUkdjePmm8nGzc2JoILI3M3z4gKwSWAAAAAABYWAPLXAMw9MhXheX27d2JdnCTua6lqZAVsfYKS+salvbW9GAwkggxzaDWDCwztYSbIWV7eygpnC039fUdVFiiYAgsAQAAAACwsFb4ZWrfRWZmAOm1Cs+smrRXZAYCqYGlPQwtZMBsDSyj0Ziamjott5NfnNManPYKS7fvh3nNlXr9ykyam7sJLFEwBJYAAAAAAFjU1aUfpoLsWCsRvXBrCW9rC6UElvaWcPPnVYgW5Wi0J7BsaupMqn6MxYykKefWwNIavIbD0YwheCxmKBSKlnxCeCbBYITAEgVDYAkAAAAAgEVyhSWBZW9lE1gahqGtW50rMru6Ilq/Prmi0rqOpNT7lvB0Qac1sLQ/r3l+Jqe1Jw0jXl2ZaQ1LKb4+ZLlXWBpGfF1RoBAGlPoEAAAAAAAoJ9Y1LGkJ771sQq1YzHCtsAyHoykVlo2N9sCycC3h1rZvpxC2rS2oYcMGSnJuCZfigaWXa2rJkoayXr/StGbN9lKfAvooKiwBAAAAALCwDn3xUg2H9LKpsIzFjJQ2b5NhSBs2tCTdt21bchViIYfuWAPE+vrUwUDWFu7W1p6vrS3hXV3eKixXrGhKVFhmmq5eSk7T0YF8ILAEAAAAAOB/2ttDam/vqdIjsOydrq5w0vczk3iFpfOUcEnavDmQdNu+hmIh1xy1VliaLeHWMNEaYpoVlvawsb095GmZgY8+qmV9SFQ0AksAAAAAAP7H2g4uEVj2VrZrHHZ0hNIGdZmmcReywtI6VMepatQaWDqtYRm/v9tTS/jUqavKfugOUEgElgAAAAAA/I89sAwGCSx7I/sJ4e7VlU7s1ZuFXMMyuSU8/rqsQ3oaG3va093WsAwEgp5C8I6OsJ57bmnKc5RCObeko+8isAQAAAAA4H9SA0vW6OuNbANL+/c/E3v4V9gKy56vndawbGrqea3mGpaGIVVVVWnAgHjqFwgEPU+eX7WKgTaoXASWAAAAAAD8j31CdShEYNkb5hRvr1V6XgJL67HC4VjSY4Vcw9LaEm5WWFpZW7jtFZaDBvUEliwzAGRGYAkAAABJ0sqVTSnDDACg0tgDMwLL3sm1wjJdwGmtdIzFDEWjPaFlNgN+smV9XqfXZU71llLXsBw0KB6/tLWFPK1hCVQ6AksAAACorS2oo456SEcf/VBSBQkAVBr7GooElr1jBnte/2lxqlzMxBoOFnINSyleZWkYhmNgaR0WZK+wHDgwnsC2tXlvCfcL1rhEIRBYAgAAQE1NnerqiqixsVMbNrSU+nQAoGTsFZb2lmNkJ9sp4U7DbDIxQ2bDMAraEi5JkUhMLS3djkF2INATlrpVWHZ0hKmwBDwgsAQAAOhjNmxoybpK0vrBq729b1V+AEA2UissCZd6I9uW8Gy3l6SNG1skxcPlaLSwXQLhcMy1CrStrSekTF3DMh6/tLeHfDd5nsYLlAKBJQAAQB/y1FOf6POfv1e//e1bWe1nrSAqdDsdAJQzKizzK9sKy9wCy/j6y8X49ysUirqeo3VCuTkl3GQO3enoCPW5yfMEmigEAksAAIA+ZPnyJknSk09+ktV+1gpL6wcuAKgk0WgsJYwisOydbANIc6p4NrZuNQPLwv/7FQ5HVV/vPMnc2o5uXc9S6qmwtFdeAnBGYAkAANCHmMFjtu1myYElFZYAKlNjY6diseRyMesEamTHbThNOrlUWJpVscWqsDRbwu3DZszA0jAMtbUln4s5dIfAEvCGwBIAAKAPMYPHSCS7D9jhcE9gWeiBBQBQruzt4FL276fo0dERVnd3dn9Ay6Vd2gw5i1NhGXOtsDT/WNjREU4Jvq1rWALIjMASAACgD8k1sLRWWBJYAqhUtbVtKffZgyd4l0u1ZC62beuSVJx/v7q7I4nXZV+70fy31KmK0jolHEBmBJYAAAB9iPlhKdspqdY12ggsAVQqs8LS2upb6KnTfVmxAsvm5vh6kcVoCe/qCrtOCTf/WNjc3JXymNkSzr+xgDcElgAAAH2IGVhmWxGUXGGZXfseAPQVtbWprb5UWOYulwE6uTArGotRvdjREXK8TqSecHvz5kDKY4MHx+OXri4CS8ALAksAAIA+pKfCMveW8O5uPkwBqExmhaW11dew9/3CM7PC0j6cJpNst29vNwPLUE77Z6OrK6KVK5tcHw+Ho9q4sTXlPMwKy+7u7NfoBCoRgSUAAEAfYgaP2X7Atg7d6eqiwhJAZXKqnCOvzF2xWsLNzoBitFtv3Niq1lb3Sd9tbaFEYGllrmFpDuYBkB6BJQAAQB/SE1jmtp9EuxqAyuU0JVyiLTxXjY2dkrL/Nynb7c0/uhWjJTxddaUkBQLd2rgx3hJufR2DBsUrLK3/3gJwR2AJAADQh1gDy2yqLK1Dd7q7qf4AUJncAkuq4nJTrArLaNSQYRhFGbqzcuV2Se5t5w0NndqwoSXl/oED4/GLOZgHQHoElgAAAH2ItXIjmw9FyWtY8sEcQGUyh7fYBYNUxXlhGIaeeuqTREt0sQJLKd6KbVZYFrKNf/Xq7Wmfo66uPW1LuLlfIdfZBPoCAksAAIA+xBo8ZvMBm8ASANyXxKDC0pu3316nH/3oJR133GOSelrCi6GhoaMoa1iuW9ec4TzaHaeEmy3hALwhsAQAAOhDkgNL7x+wrUN3qCQCUKnc3v94X/Rmy5Y2SdLmzQG98srKolZYbtjQWpSW8EyD6Vavbk5aZsVkVlgC8IbfGAAAgD7E+iEp1wpLKokAVKJoNOY6EIVhZN5YA8PbbpupxsbiBZabNrWqvb30PyezZdyOCksgOwNKfQIAAADIn9wrLHMLOgGgr0j33tfeXvjKvb7A2pK9YEFtQdeStFu8uF5Tp64q3hO6WL++xfF+c+gOAG/4jQEAAOhDrIGlOXwg2/1CISosAVSedFWUBJbeWAPLYoaVkvT44wuL9nNKNzDHbIu3b2OvsCz29wfwGwJLAACAPsRaVdne7jzt1klyYOl9ujgA9BXp1iYksPQmmz+Uucl1enZzc3evn9urdGFjU1On4zasYQlkh98YAACAPsQaPLa1ef+AbR2647aGGwD0Zd3dBJa9VYwp3enkGnbmUyTi/Ec/AksgO/zGAAAA9CHWsDGbD9jW/ZymmwJAX5euJTwflYOVwGlKd7YhYm9apcu5zZqhO0B2CCwBAAD6kFzXsLSGlFRYAqhE6SosnYI4pOrsLN0ayP3KPN1g6A6QHX5jAAAA+hBr8JjNB2xrSBmJEFgCqDzp1rCkwtIbp393ilX1GCvz5gAqLIHsEFgCAAD0EbGYkbR2Vu5Twsv8Ux8AFEC6CstSr83oF5Xwfcp1nUzWsASyw28MAABAH2EdnCOlX48tdd+ekDJfFZZdXWG1tBRvaisA9Ea698xs3k8rWSUElrlWjBJYAtnhNwYAAKCPsK89mc0Hx0IM3Rk9+lHtt9/fmK4LwBfMCkunCrpKCOLygdb5OKdrqH//4p8H4GclDSzfffddfetb39Kee+6pqqoqvfzyy0mPG4ahm266SZ/73Oc0dOhQnXrqqVq1alXSNtu3b9f555+v6upq7bLLLrr44ovV3t6etM0nn3yiE044QUOGDNE+++yjv/zlL4V+aQAAAEWXGlh6H35g3Tca7X1gGY3G9Mkn9QoEgnrllRW9Ph4AFFq6NSzTPYYeBLtxToFlVa695ECFKmlg2dHRoS996UuaOHGi4+N/+ctf9Pe//10PPvigPvjgA+2www4aN26curt7WovOP/98LV26VDU1NZoyZYreffddXXrppYnHA4GAxo4dq/32208LFizQX//6V9188816+OGHC/76AAAAiskeWGbXEm4dutP7CQnWD62NjZ29Ph4AFFq698x061uiB9PU48p9ABDgBwNK+eSnn366Tj/9dMfHDMPQ3/72N914440688wzJUlPPvmkhg8frpdfflk//OEPtXz5cr3xxhuaP3++vvzlL0uS/vGPf+iMM87QnXfeqT333FNPPfWUQqGQHnvsMQ0aNEiHHnqoFi5cqLvvvjsp2AQAAPC71MCydBWWbW09H1oDgWCvjwcAhZYulCSw9IaWcAD5UtLAMp1169aprq5Op556auK+nXfeWccee6zmzJmjH/7wh5ozZ4522WWXRFgpSaeeeqr69eunDz74QN/97nc1Z84cnXjiiRo0aFBim3HjxumOO+5Qc3Ozdt1115TnDgaDCgZ7/o91IBCQJIXDYYXDzm/A5v1ujwPlhmsWfsL1Cr8p1TXb0ZEcDAaDIc/nkBx2Gr0+9+bmjsTXbW1d/P6WOd5n4SeFul7b2+PvoQMGVGnAgHj7bjAYUywmhULunwXRw6yuHzKkquJaoGMxQ8FgvENh0KAq9e/f8/qHDo03t/br11N9OXhwlfr1q6zvEfzBvF7N/80nw+inbo/zGMs2sKyrq5MkDR8+POn+4cOHJx6rq6vTHnvskfT4gAED9JnPfCZpm/333z/lGOZjToHl7bffrltuuSXl/unTp2vYsGFpz7umpibt40C54ZqFn3C9wm+Kfc1u3NiVdHv48A5NnTrV075NTc2Jrw84YIjn/dysWdPTBj54cEOvj4fi4H0WfpLv63XJklpJ0mmn7aZLL91bknTHHes0Z06r9toryPtYBpGIoUgknsY98sih2nHHso0bCqK9PaIf/WiJJOm++0Zqjz0GpWyz995DtHFjd2Kb3XdP3QYoF489dljej9nZ2anzzvO2bWW9g3h0ww036Oqrr07cDgQC2meffTR27FhVV1c77hMOh1VTU6PTTjtNAwcOLNapAjnjmoWfcL3Cb0p1zX78cZ2klYnbn346QHfeeYanfW+4YbOkrv/t16UzzvC2n5v33tso6VNJ0vr1w3TTTb07HgqL91n4SaGu13fffUtSvaZPb9I772yXJIVC8QBu2TLpvvt4H0unpaVb0iJJ0iWXLK24CkvDMBLDdn75y+VJr3/o0H567LHDtGVLT2nZL36xvOK+R/AH83r9yU+WqKsrvwuyGobH8kqVcWA5YsQISVJ9fb0+97nPJe6vr6/XkUcemdimoaEhab9IJKLt27cn9h8xYoTq6+uTtjFvm9vYDR48WIMHD065f+DAgRn/QfSyDVBOuGbhJ1yv8JtiX7OGkfzBp6sr6vn5zaoYKb6GZW/Pu6urp8W8rS3M765P8D4LP8n39WqGk5FI8nuiJHV3e38/rVThcE8Q0d1tSOr9ADe/cnv9hpF5G6BcdHXF8h5YSt6PV9Ip4ensv//+GjFihN56663EfYFAQB988IHGjBkjSRozZoxaWlq0YMGCxDZvv/22YrGYjj322MQ27777btJ6IzU1NTr44IMd28EBAAD8yj50JxjMbeiOkYfPT+3tPUN3OjsZVgGg/KUbVBYMRl0fQ5y5fiUA5ENJA8v29nYtXLhQCxculBQftLNw4UJt3LhRVVVVuvLKK/WHP/xBr7zyihYvXqwLL7xQe+65p77zne9IkkaOHKlvfOMb+ulPf6p58+bp/fff189//nP98Ic/1J577ilJOu+88zRo0CBdfPHFWrp0qZ599lnde++9SS3fAAAAfYE9sLTf9rpv/gNLPsQCKH/pJoGHwwSWmXR0hDJvBAAelbQl/MMPP9TJJ5+cuG2GiBdddJEmTZqk66+/Xh0dHbr00kvV0tKi448/Xm+88YaGDBmS2Oepp57Sz3/+c339619Xv379dPbZZ+vvf/974vGdd95Z06dP14QJE3TMMcfos5/9rG666SZdeumlxXuhAAAARZAaWHpvu7HvG4nENGBA7n/bJrAE4DfpKiyzeT+tVLzXZ8aSlYB3JQ0sTzrpJBlp/oRfVVWlW2+9VbfeeqvrNp/5zGc0efLktM9zxBFH6L333sv5PAEAAPwgXxWW5u3eBJZtbT2BZbqqJQAoF11d7oEbFZaZdXQQWALIn7JdwxIAAADZsYeO2XzADoeTq4eyCTudWCssCSwB+EG696revidWAiosAeQTgSUAAEAf0ZsKS3u4SWAJoNKkawm3Tw1HKnMNS9qeAeQDgSUAAEAfkVph6e0DdixmKBpNXqYnmwnjTqyBJdN1AfhBuj+uEFhmRoVlZoS5gHcElgAAAH1E6uAcb0GhU+t4bwNL6xqWrP0GwA/SrWFJYJkZgaUXJJaAVwSWAAAAfYTTpO9c9pN6PzzBWmHJB30AfpCuwtJehY5UDN0BkE8ElgAAwLe6uyOaNm01ayT+T2pg6e0DtlPrOIElgEqTrkIwFiOwzIQKy8xoCQe8I7AEAAC+9Y9/fKBvfOMp/frXNaU+lbJgDyxjsd5UWIYctvTOGlhSmQTAD9JXWPKHl0zMfzcM3vJdEVgC3hFYAgAA39q0KSBJevXVT0t8JuXBHjx6DQqd1pjsbYVlW1sw8bXBp1cAPpAusOR9LDMqLDPrRwIDeMavCwAA8C3zwyVTqONSKyy9fcB2qrBMN3zCC+vQHcOgnRJAeYtGY47LY5jIKzNjDcvMqiixBDwjsAQAAL5lBpZMoY7LZ2DZ25Zw+/69DUABoJAyrYVsGFRZZkKFJYB8IrAEAAC+1RNYsraYlBo8ev1s7fT96+rKfZBRNBpL2Z8PsgDKmZf3PAaIpUeFJYB8IrAEAAC+ZQaWkQgVlpJzpaSXiiCn/XoTMFoH7uTjeABQaJkqLCWWH8mE93kA+URgCQAAfMv8gMkU6jin4NHpPjunlvreVFg6BZatrUGHLQGgPHhZtiIYzP19sRIQWALIJwJLAADgWwSWyUKh1HZFL4Gl89Cd/AaWzc1dOR8PAAqNCsve6+3axwBgRWAJAAB8qyewZF0xyTl49PIB22m/7u78toQ3N3fnfDwAKDQvf6TpzftiJaDCEkA+EVgCAADfMgNLJrfGOQeWmT+EOw3d8VJt5KatjcASgL94ec9jqEx6Tn+sAoBcEVgCAADfMj9gxiiwlORWKZn5Q3iu+7lxXsOytIFlb14PgL7PyxqWBHLpUWEJIJ8ILAEAgG9ZQyiqLJ2DRy8fsJ2G7vRmuIT5nFVVPfeVcujOW2+t1U473a5bb51ZsnMAUN68tIQTWLqLxYxerX0MAHYElgAAwLesH468DJfp63INLM39rAFjd3fu30+n5wwEShdYvvvuBkUiMd1115ySnQOA8mb+Acz6PmhHYOmOKnYA+UZgCQAAfMv6AYkPS70PLJPv680alqnhZHt76QLLurp2SfHzohIXgBNawnuHdnAA+UZgCQAAfMvatuxlGnZfl3tLeOoioL35fjo9Zyk/6NfVdUiSDEOqrW0r2XkAKF8M3emdjg7CXAD5RWAJAAB8KRqNJQVtVFg6B5ZePkQ6TxfvfWBpLWYs5YfZ+vr2xNezZ28u2XkA5WD58kY988wSqo1tvKy/6FRFGIvxfZSosASQfwSWAADAl+yBGtUdboFl5g+RTkN3erMmqFM1ZSkrk8yWcEn68MMtJTsPoBxcfPErOvfcF/TQQwtKfSplxVuFZfJ726JFddpllz/r97+fUaCziguHo3rzzbVlHQpSfQog3wgsAQCAL9k/XDqtm1hpcg0snfZzahP3qq0tNbAs1QdtwzBUX9+RuL1kSWNJzgMoF8uWxX8H/v73D0p8JuXFXMMyXeGp/X3sxReXq60tpDvvfL+Qp6ZHH/1Yp532L11xxZSCPk9vlHOYCsCfCCwBAIAv2QPLUk6hLhfWNT1NXj5EOg/dyW+FpZd2y0IIBIJJ18q6dS2O27W2dmv16u1FOiugNFpautXaGn+vXLlym2Kx3P8w0dd4awlP3mbevK2J+wvZYr9kSYMkacqUVQV7Dklas2a7rr++Jqe1fulyAJBvBJYAAMCX7IFlezvVHU4ho5fA0qymtH7edmoT96qcAktrO7jkPnTnggte0iGH3KcZM9YV47SAktiwoSXxdSxm6KWXVpbuZMqMl5Zw6yRxwzA0b17PEhPbtnUW5LwkafPmgKTCVzHeeeds/fWvs/WLX7ye9b5UWALINwJLAADgS7SEp3IKLK0fsLPZrzct4U6BZamGIlnbwSXnSlzDMPTuuxsUjRq64Ya3inVqQNFt2NCadPuf/2QdS5OX90rr+9jatc3avr0rcXvp0sItN2EGlr35Q5IXq1c3S5Lmz9+a9b7m8iNVVXk9JQAVjMASAAD4EhWWqXINLJ0+BPfmg7HTGpZO7erFYK+wjEaNlNbF7du7Em2yH39cV7RzK0cbN7bqnnvm0N7ZR1krLCVpzpxNpTmRMtTdnfk9z/p+aq2ulHrWBi2ELVvileHRqFHQ1vP161skpV9i5f33N+rVV1Mrc6mwBJBvBJYAAMCX7IElAYtzVaSXD+FOQWckkt8KS/tU92IxA0tr1Y+9esi6dmUwGNX7728syrmVo1tvfU9XXz1d1147vdSnggKwV1gGAiGtW9dcorMpnI6OkL73vef0+OMfe97HW4Vlz/uYPbBcubLJ+wlmIRyOqr6+5w8vTn8QyodYzNDGjfHrw+170d0d0emnP6Uzz3wmsa6micASQL4RWAIAAF8isEwWjcYUi6VW3pSiJdypPb/QrYxurB/0TXPnJleV2Yft/OMf8wp6TuXM/F68/DJrG/ZF9sBSkv72t7klOJPCevXVT/XCC8t12WVTHN8XnXhZtsJaKW7/w4dZnZhvtbXtSesLNzV1uGzXlhKiZqOurj3xb4Hb0LVZszaqrS0kw5Bee+3TpMcq/d9gAPlHYAkAAHyJwDKZ2wdMLxWWTuFkNJp7YOn0s+hNANobZoWl9QP/J58kVwatWpUcWL79duUO3tm0Kb5WXkNDR0FbT1EaTqFaoSdPl8LChfGlHcLhmObN2+xpHy+DwczAMhyO6qOPapMeM9u2881cv9LkFDpL0re//YyOPfYRzZ3r/nqXL29MWnfTynptGIbzMh7Tp69JfG1WY5rMCkveNgDkC4ElAADwJXtg2dlZmjUSy4VbYOll7ch8toRHIjHHkLQ3AWhv2IfuSNKqVduSbtsrLBsbO12rmPqyaNTQ1q3x0CUWM1JaPuF/9jUsJWnduuaSVUAXihlYStIrrzhXC8+bt0U/+tGLiUDQW4Vl/Pu0dGljSsDZ0FCYKeFbtiQHlvagMP7cHfrww3jFp1sb/Pr1LTr88Ad0+OEPOP67YL827Ov/SsmBZW1tckBrDt0BgHwhsAQAAL6UGlhW9oel3gSWTtWPXtso7ZzWr5TiYVgpOH3o3rw5+YO2PbCUKrMtvKUlnPRz+s9/lpXwbJBvnZ1hNTamhmqGIf3735+U4IwKZ9Gi+sTX77/vPFjozjtn66mnFuvKK9+Q5G35DDOwdGq9bm52rlz0oqsr7PpHInuFpflHBatZs3rW3bVvb1qxoinxR4kJE6amPG6vvl2zJvl9sb6+Pen7Wl+ffC1V+r/BAPKPwBIAAPiSPYjz8mGzL3MPLHMbupNrwOgWWOYagPaWU2Bpb4l0Ciz/85/lBTunctXYmPw79O67G0p0JigEp8o80zPPLCnimaRnGPHhL7kuSVBX1570e798ufMwnHXrWiT1VGN6aQk33yvNwNI6zCvXwK6jI6QDD/y79t77br3+emp7vj2ArK1NfU+z/q46VZVLUlNTT8D4+OMLU4JPe6v5mjXJw5jefHNt0u1t25IDSyosAeQbgSUAAPAle4Wllw+bfVm+A8t8V1jmeszbbpup/fa7R8uXN2a9byxmqKEh9cN7KBRNVDM1N3dp27bUyqgVK5oUi5Wmjb1UmpqSf3ZLl2b/PUf5SjcUZt68ra6PFds///mR9tvvb7rttndz2n/Rorqk29u2dTmGn2aAa/4Bw0tLuNk6bw7csR42GjVyaq3/+OM61da2q76+Q2ecMVkXXPBi0uAy+9qYTu9pM2f2BJZO72fx+3sCxljM0A9+8HzS4/brwx5g1tQkB5YtLd1Jt6mwBJBvBJYAAMCX7B8uvXzY7MvcAku3+62cPmTnWt3kNCHclG0V7L/+tUg33TRDGzcGHFsYM2lu7nId9mMGoE7VlVL8A31fa5PNpKkpbLvdyeCdPsRco9BaFWhqaelWS0vuLc35NGPGeknSQw99mNP+ZsWk+TpjMUOLFyevx9rVFU4Ef+YfWbwEbqFQVB0dIdf1XTdtcq9idWM/1r//vVinnPJk4ra9wtJe2djS0p0U0tqDRJO1wlKSZs3alNRKbg8oN2/uuW0YRtL6lVLqH6cILAHkG4ElAADwJQLLZG7BpJeKn2JVWGbzgfbDD7fqpz99NXHbrGjKhlM7uMlc184tsJSkP/zhvayf08/sFZaGkdv3HeXJbbq06dFHnYe1FNuKFfEW7uZm5+Atk4UL4+ssWrP2l19ekbSNtT0+HI7JMAzPFZYLFtS6vj/ag1EvFi+On681SP7ww62JYNJeYWn/vrz//sak1+r2PutUefmTn/xXUjyQtFdY1tX1VHIuXdqY0opu/351dLi/9wNALggsAQCAL9k/LHkZLtOXuVUSegksnfbNtbAuXWDp9QNtfX27vvvdZ5Pa2dvbQymVRZmP4z7p++OPayX1BJZOVWerVm3PqRXdr+wVlpL00kuVt5ZnX2UGlm6/2y+9tML5gSKKxYxEYJnrH6GsE8JN9vVY7eHttm2dHgPLmObO3SzJ+T3Dbb3MdJYsib/H2H8uL7+8QrGYkTIlvLU1uYrd/trC4ahjZbS9wlKKv8eFQlE1NHSkvP7Gxp73z5qaNfZdFY0aScEtFZYA8o3AEgAA+FJqYJn92mF9iXtLeOZ1GN32zaUd2AwsnT7M2z9oO9m0qVUnn/yE46TbSZMWZnUu6SoszWBh9er4YAm3l2pOEK4E27alBg7vvbfRYUv4Ubo1LCXnoK/YNm1qTaxHbBjp/wDipLMzrE8/3ZZy/7JlyX94MNvjTUuWNLhO6bYKh2OaM2dz4vzsVq1Kfe50DMNIVFja1dSsVWNjR8oflOzLbljXrzTPy+n75hRYStILLyxzrL61VnJOnx5fv9L+vm5tP2foDoB8I7AEAAC+RGCZLN8t4ZI8fYC3a2tzDxjs07ntVqxo0nHHPeZapfTKKyuzOhczsHQKTz/6qFaGYaRtCZekN99cVzGtjvaWcCm3ijGUJ3tIZ9fREU5at7AUzOpK08qV2V1/S5Y0OLZr2wfV2CemL1rkHBraRaMxzZmzyfXxdJPYndTWtru2vn/0UW1KO7iUHAy2t4e0YEFtyjZO4bTbMJ7nn1/muL31D0xmmG0Paa3XVGdnZbxPAigeAksAAOBL9sDSy3CZvqw3oaNbqJnL9zRdRVRzs3tg+ckn9Tr++Me0aVNqZaXJa6hgqq93r7Ds6AjrhReWZwwsYzFDv/vd25Li1VCLFtXpjjtm6dvfflrPPrskq/MpZ8FgRM3NqS2xzc1dOa9nKkmBQFD33js37c8ChRcKRbV1a2r4Zffwwx8V4Wzc2QNyt9/5P/zhPd1++7qU9yi3KtFo1NCnn/Yc215RuGyZt2C0uzuSdqkJ+zqPmbgN75Hi4adTpbl1+ZO5czc7vsfbg1/JvcLygw82Ow5kMv9Q09ERcq1Wt1aUtrdTYQkgvwgsAQCAL3V3J39QJbDMPbB02zeXqtV0gaXb9Nq6unZ985uTXSuATK2tQbW2eh/EYQ6NcGv3/t3v3kqpvHLyj3/M0+67/1U77PAnHXnkQ/rNb97Sq69+qvPPf9E1BPAbp0ouKf69+973ntMJJzyus89+zlPFrtWll76qK6+cph//+L/5OE3kaPPmgKd1aadM+bTwJ5OGPWhzCt6am7v0xz/O0gcftOqhhxYkPWafEG718ss9Fdr2wHLNmvR/uDC5rRVsyvb9wGngjikYjCYqTK2PW9/TzfUr7fvb/xBjGIbrGsC1te1au7blf9v13G++1nXrWlzP3/pYVxeBJYD8IrAEAAC+RIVlMrfXH41mTikKUWHpFI44rWHZ3R3Rd7/7bNrKSqt//euTlPtCoajjwIdMVX2ffuotpIjFDDU1dSbW1jNFo4Z+9rPXHPf56KNa/fznUxUIZF63sxyYlVxOwclLL63QrFkb9eKLy/Xggx96PubcuZv17LNLJfVMZUdpZFq/0mRf67HY7AHl2rXNKdu88cbqxPvaW2+tS3rMrXVZkmbOXJ/42t4e7xbYu3H6PZHk+Pu+eXNA//nPMsc1gc2BO27s082l+Gsz35vNAUD2Q69fnxzIdnSEXf8AZRjSG2+sSrk/FjMUDkfThrmbNsWfJxyOZgxzASBbBJYAAMCX7IFltpVffY35Adb+QToazfwh0u2DbC6BpX0ghJX9w7xhGPrpT19NfOj2wvoBftu2Tv3ud29pt93+ourq23XMMQ/rmmumJaqS0g3dyZcXXlju+Jp//es3NXHifNdAs9xs2hQPbPpl+HSQbv0+K8MwdM010xO3K2Ud0HKVaf1KUzAY1fLlpQst7S3hTi3RU6b0hGsrV/a0JMdihj75xH3ZiMWL4+3XkUgs5bjZVka6Vas6TRr/8Y//q3POeV733TfP4Zzq0x5v3rytjo9v3x4/X6dAV1LKZHG36kqTPeA0NTR0aM2a+HM4hbRbt8bfY5kQDqAQCCwBAIAv2T8Y5jIgpi9xCxe9rD/otq/Th+9M0q1jFggkh1avv75a//53vGLSrWLJ7qOPahNB5ec/f6/+9KdZam8PKRo19NFHtbr77rk66qiHVFvb5jmw9PrcTmIxQ7/61esp982fv0WS9M4765x2KztmgNOvX/pvhtk6msmLLy7X7Nk94WY0alR8FXQpmS3QXq71yZMXF/hsnG3f3pWyRIN9vchIJKbXX+8JLM3ATIqvp5huUrW5hmdtbVtK5Xk2S02kY5/Q3dUVTrRtP/HEoqRto9FYxopWt3/XamvbFY3GXIf82KvLc126Yu3a5kQo6hSqmj8vAksAhUBgCQAAfInAMllvAku3Vr5cquLSrWFpr0R8443VkuIhipf19SSpubk7Kag097fq6opo/PjJamz09iHd63O7+de/Fiet37Z69fZE+3u6AR1WmzcH0lanFsKqVdsS140ZWDq1rVp5GdwSCkX161+/KSn5Z7N69TaXPVBoZmDp5Vp/++3ShOxOE8HNSkLT7NmbkqZqd3VF1N0d/9374IMtaY8fjRr68MOtKetXSpnXpsyG9XXMnbs58Ttmr4Zcu7Y5ZZkJrzZsaFVtbbvredvXA860PrCbNWu2Jyos0z1PuqAYAHJFYAkAAHzJHlh6aX3uy3oXWDrvmy58dJNuH/tjM2asl5R9YGgPKp32//jjul5Nt85GJBLT9dfXJG6b1ZVSPCTJ1I47ffoaHXDAvdpnn3uyao/3em4/+9lruueeOUn3v/rqSn3xi/fp+99/XpISa4hWZSjB8xJ8PPPMkkTIYf3ZuE1wRuEtXeo+jdquVOtY2tvBpdQgzBwKNGBAlQYMiF+r5vuI+buT7hL+978/8dwenyvr5G/z3KT40DHrHwTSTQjPZPPm1rTrktoHnJkVltlWk69b1+Ladh5/nvj7ARWWAAqBwBIAAPhSamBZnHDKzbRpq/Xqqyszb1ggboGllzDQbd9cPoSmqxK0Vmw2NXUm1pTLVW8rI/PpySd7hgHNn7816TGnwRmmxYvr9b3vPadwOKbW1qCOP/4xvfjics/P+8c/vqtDDrnPtfLx9ddX6YEHPtTVV09Pmhxstqf+978rtXZtc9qhO1ZdXeGMVZgvvbTC8VhLl+YehD399GK98srKiv/DRC5CoagWLXJf29GupSWoYDC3yr/eMAfuWK+baNRI+oOKGVhWVUl77jlYkvTmm/GKULPCMt3l+c4767Nqj8/FihU9lcQzZ25IfG0YyaGs+f6Xy3nU1ranDSztQW+mNSzdbNoU0Lp17oFlW1v8Pd2+ZiYA5AOBJQAA8CV7YFmsajon4XBU3/3us/rOd57NOJm6UNKtD5juexONxlw/4OfS5peuwtJ6PHNdt74iEAhq7dp4IGgPLGfMcH6tW7e2afz4yYkP/VI8oDn77Oc8TeMOhaK64473tXLlNv3mNzWO20yevCTx9Z/+9J6keOhotuNL0rXXTvccWBpGfK1BN11dYU2fviaxrdWqVd6mstvNm7dF5533/7d35+FRVff/wN+ZkAQCJAgE/CJC/VZFrArKt2yttW6ggiK2YtUKtH1UCloVrYqVIv1pqVoQcQHUyqJVIMq+Cgl7wpKQAEnIRhISsu/bTGY9vz/GezPLncnMZGZyk7xfz+NjcufOvefeORmS93zOOZsxbdoGDBu2HMuXn7Abgk/upaVVeD1/qBQMBpMUWDr2G2mexosXa+TALzQUGD68JwAgObkEWq0RZ8+2XcGbnV0tH0/pfc8fIaYU8LW0mJwqpnfvbp1/U6qw9OWDl7KyJvk8Sm12rJr3ZA5LpeNkZ1e7HS4v/TssBeKBCoGJqHtiYElERESdkpoCy7q6Fuh0JlgsosOCOHeBhK+P+TKHpbs5G20rNqWhkl3pD9wPPzwFk8mClJRSu+1KKxebzRY8/PAGeSi2o3nzdrcZMhw+XCCHnWfOOIc1zc0GbN/eWvW7Y4c1hIqLy7cLj3fuzEZNjXUIqSevR3JyqcvH4uPzXVbmulogpC22q1aXlDTipZf2Yfr0jT4dqztKSippeycH7qqCA0UKLB1JPz+2IWpISAiGDesFAMjOrkFycolHVfYtLSa3K4n7Q1GRtZ+fPHkZer39++vx44Xy1+0ZEl5ZqZUrLJUCT8fFf6SpHNyFo0qPuaviBKwfsAjRujq7mqreiajzY2BJREREnZJjhVVH/qEkLbACeL7Iir+5Cx7dDe90Vz3j7YIQOp3Rbchmezxf569Us127spGeXuF035SGS37//QWnSkxbFovAnDk73Z5PCiABKAaf27dn2YWHVVVa5OfXymGUFE5KfaBXL02bc1gC1pXaXZECUqXDeLpquyOlIbz79l1EbW1rpefGjWkYMmQpjh0rdHx6tycFlt58ONDWAjb+ptebXC7uIs2puWuXtTpRug6pwrKystmruV/9PU+so/z8OgCtw8Ft77s0LUJtrQ7Z2b4vQlVTo0NBgfsPAGzn6vR1lXBP/j2rq2sJeAhMRN0TA0siIiLqlBwrLIGOW3jHdoGDysqODSyVAkDHKh+l5ynxdtitq2pBifSa+WP+SjXKy6vFiRPOQY9eb7YL14QQWLLkGAD3IdKWLZl2z7MlhLALLBsb9U5zS377bZrTOd5554gcKjr2lZiYcNeNseFqURaLpbVNSv3Q3VByd6TgxfGYy5ef+HG7wKJFh1Ba2oR583b5dI6Osm9fLq67bgUSEooCdg4psPTmw4G2Kut8ZTSaMXPmFixZctRue25ujcsq+dzcWrS0mHD0qDWMlq5j2LCePx7TYjdXZFsC/SFJaWkT1qxJUfxQRpp6YdeunHbNu1xX19Lma2RbmezrKuEmk/XfVHfvU9nZ1S6rY4mI2oOBJREREXVKSiGcu2AukOrrWwNLXxc3aC9fKyzdPc/bRXekoZCuSIFlV5u/UiIE8OGH1hDN8Q982+Gs+/ZdlFfMdheeWCwCc+fuVnwsPb3SLrAQwj5IrKnRyfNU2p7jv/9NQ2Wlch8dODDMdWNsXLyoPBdlcnIJSktdV1H6upKwVGHpaMOGdADWQC4ry1qtlpdX59M5OsrSpYnIza3Fs8/uCMjxW1pMPn04YDRaAhJaHjtWiK++Ooc33ohHaWnrQlFKK4RLLl2qQ2JikdOHVIMGtQbs0rypajF37i4kJjpXcup0Juj1Jmzb5roS2RP19fo2p1jIzW2tWPW1wlLi7n0qLi6/wxe9I6KuiYElERERdToWi1AM2pSqLoPBdki4NBdgsLmvlHQ3JNz/FZau/giXXp+uOH+lRApeHP/A378/T/7ak+pKSWxsOhoanFdeV1qR3vYcmzdfUBzuL70GSuceMMCzCktXK5LbzpepxGwWPv2Mugosc3KqYTCY8dVXrSu0NzUZOnQ+W2/YVg22NbzXV2fPlslVct765ptzbe/kJdvh2GvXpspfnzxp3a7UL0tLmxAXl+/0uEYT4jStQXv5q/qypcXssq/v339R8cMEb9TW6tp8Xf0xJNwTnIaBiAKFgSURERF1Oq4qBt1VEgaS7ZBw26+DydfFc3wNOpW0VfFjMNgHll1p/sq2SPM+JiQUyRWmnly/2Szw/PPOVZa2w8EltmGQ0nBwW47n1miAyZMHtN0gAFVVrcNLL16sQWJiEYqLG+SqMXeys70bOmqxCJf9Sghg9eokbNiQZrfdk9Wi1SAhobVqsLnZ4DSk3x98WXBHYhuA+4tt1aHtitnx8QUAlH8mqqq0iI/PV3xco/K/ZpV+/lasOGW3II4vPKlWloafA4Gt/E9Jsf68dcUPoIioY6n8LZ6IiIjImavKFW8rAv3Fdki47dfB5C54lFaSVuKuMsnbajhpSLir3MVgsHTZ+SvbUlBQB63WiL/9LR6Ad3/cb9yYbhdmVVQoLzKSnm69r1VVWq9D4YgIDa69NtKjfbVaa38qKWnEzTevxMSJX2Lo0A88el1TU50X58jIqLQLr2yVlze57dv/+McRpyHuahse7MqBA62BoBBAcbFy5Wp7JCVZg3JfwiTHVayFEMjOrnY7V7BWa3QZxgkh7PrtuXPW49fU6JCS4nohp/r6Fpw6pbwIkEYTYvO1y0M4CVa4pvTzJ4Wv7WmDJz/X0oI5Wq3R6w+fvCEtptWdPoAiouBgYElERESdjqsgrb1VK76yHRLuLhwMJHehTlOT85BiT57nfYWl+0V3TCYLYmPTvTpmV9HcbMTYsZ/7VF2q15vthlvv2pWt+Hzp/u/dmxvQYdEWizVE2rEjy+s+Iq2SbOuRRzZiypRv8MMPuU6PuRoOLpGGutqGP56sAn3xYo1dBVpHkIY5Sw4fLvDLcQsL6+XX35cFdyRVVTq7cHLnzmyMGPEx7rprvV3/SkgowtSp3+Caaz5Enz7/xIAB7ymuJJ+fX2cXLjc06NHYqMfhwwVu22c0WlzOkWj7uls6Zs01r0nX4o+Az13oKf1sdNS8ykRE7cXAkoiIiDodV4FlR4WFtsPAm5s7psrT/ZBw123ydbEeJW0tumM2W/DZZ2cAdO3hg66uTSms89T77yfIX3/99XnF80grhUvVioG8xykppdi1y/vz5OZW231fU6OTF8z59NMkp/1t5+Fzxzb8cbeAi3TOMWM+w223rXZbLRhItbU6p+HaJ08qVxF6Y9u2TAwfvhxjx36OS5fqXK7o7inb50tTGRw5cgnz5+8DYF1oadKkr7BrVw4KCuoghPU95aWX9jkdSylI/uab83LFYVsVkkr9zNch4V2lGtDddUj/LgVy/koiokBiYElERESdjtoCS9sKS3fzRQaS+wpLd0PC3QWWnq+6LoSQF91xfS6LR6tjd3aBuLaTJ4thNluQkFDkcj4/aaXw9i7o4YnExMtyhaA353HsI7bzTZ496zxcXKqw9CYUbatyMjm5BPX1elRWarFvX8cMHz90qMCpClYa0t8eCQlFAIDk5FKMHPlJuyttbRdUyclpXR3+ww9PYvXqJDzwwDeKH4goDeGWAkvb13Lr1ix5/sq2KiS70ntGMD6wkV6X6mpdG3u615U/XCIidWNgSURERJ2O68DS9dDnQLKtsAzkXGHuBKLC0ps5LOvqWjweks8/gL1nMlnw1Vfn8P/+3xEAru/hRx+dQm1t4OdR3b49y6OFPxxJ891JpAAbAIqLnYNGqcLSXVjleC+am41uKydtz+mvYdjekuavtK0QLCioa/dxbYfQ++O9SJoDE7APLAFgzpxdqKhoVnxeS4vJqYJUCixtX8uEhKJ2VYGGdNI3k2CEr9KHUe2tsPSkrZ30ZSAilWNgSURERJ2O+uawbA2I3AWAgeTuvNIiKUrcLbrjzZDwtqorbXWlSqlgWrgwvs3qyY0brXOEBjpAkMIob89TW2tf7WW7CI/RaHEKNNuawxJQvhdKcygqndPdfoF04IC1OtW2qrCsTDn8U9LUZMC0aRuwZMlRu+1K96s9fSEz0zq83mIRuHixpo297S1ffkL+WqczyqtJ22po6JgPmboDIaz9RJrDkqEiEXU2DCyJiIio01FfYNn6R7e7IdaB5D6wdB08unueN+FrYWHbwRK1z+XL1lWk3QUPUrVvoENhk8m3hUMc+6JttSMAbN58we57X/vV/v2uh3rbnjM3t1ZxnwMH8vDTn67A3Lm7nELW9ioqqkd2drXTdq3WaLcavDuffZaM7duz8Le/xUOna610VZrzsz19obDQeryionqvpogAgP37W1dBP3OmFCaT6w9H2grTGLb5prCwLihzWPJDKCIKBAaWRERE1Om4+sO5oxa8sR0S7mo120DztcLSX4GltOAOg4fA68zhgMUi5KHker3JaTiwNFRa4kmFpRJpAZuysia7ock6nVGuGrQ+3uj03IqKZjz55Gbk5dVi5cokDB++HF9+meJxmNgWx9XBbXlSxWgyWfDhhycBWPvC6dPWa9XrTSgtbXL3VK9Jq3o7Dgf3REVFs1zd19bK7W3d2s7c5zvSwYMF8hyWvIdE1NkwsCQiIqJOx1WFZUcteGMbWAIdMyzc3TndzWUnVYQqBYneBZaeDQnnH83t0xUC36wsa2B44UKVU9Wd7SI8dXUtPg8ZvnChCo2Neowb9wXGjv1cXqgoLa3CbiGalhYzDIbWnw8hBJ55Zofd3IyNjQb86U/b8dhj3/kltJRCWaXX8siRQueNDr7/PsOu8lRaaMebaRk8pdebYTZbkJNjrQj1tv999JE1WD1xotin51P7fPzxaa4STkSdFgNLIiIi6nSkwNLxj19fFgFpLyGEU6jSEauV+xpYuq+wbGPZXhtSgMJAMrC6wgIY0lyGjsPBgdZh74Dy8GZPFRc3YsGCOBQW1kMIYNGigwCUVyI/daq1AnPNmlRs25aleMzY2AzMnLmlXaGlEEIOLJUOo7S6tuPzly5NtNsmzcnZnvvlTnp6hU8VloD1np09W4YjRy4B4PuDP3nyc56ZWYULF6ra3pGISIUYWBIREVGn46rCsiMCS63W6FQlVlfn3znvPOF+tW/X98XdojvezMcZiOou8o3aQyFpGLgUWNoGLwaDGRUV1mHNvg4HB6w/l59+elr+/vTpEpfnPHjQWn1ZWFiPF17YC8B+9W5bX399Hn/+8y6f25WeXonycteL67S1YnZCQpF8LRKp+lG6X/4OrI8dK5IDS2/7VkZGFUaPXu1yNXHynaevhdIHA0REnQEDSyIiIup01BRY2i64Iykv9+88cp5wH1j6Nk+luzDTERfdIU9JAZsUpDgGL1u2ZAJorRj0NYCzPa5eb8axY4WK55QCwPXrz8oLd1ncdP3Vq5Px4YcnXO/gRlxcntvHpWs2mSyorHQO+aTqStt7IlWltvd+uZKcXCq/Zr5Se9UvERGpDwNLIiIi6nRcBZbuhj4HiuP8lQBQVhb8aiJ3K/i6q7B0H1h6VmFpsQgUF7PCkjxz6FABjEazy8ovaXXp9lRYKvngg0TFIeFZWdYwbuvWTI+P9dprB3yaM/fAAWs1p6sAr6JCC73ehNtvX4OrrlqGTZvS5cd++OGi3EbbwFVaxVy6X+7CVl9kZFQgL095NXVPqb3ql4iI1IeBJREREXU6agos6+udA0t3Qz4DxdcKS3ehpKeBZXl5k1fVmNS9NTQY8OSTmxWrk4HWykspgPM17HIMBffsyZUrKG0VFzfg8uUGJCeXenxsvd6Mp5/e4VV7jEYzDh0qAOD6mlpaTFiwIA4nTlyG0WjBE098j7S0ChQXN+DJJzdDCOfrMhotaGkx+j3glWRn1/Dnm4iIgo6BJREREXU6rgJLd5WEgaIUulRXB39VVneBpV7v26I7JpN9qnLoUAFuuWUlXnnlB7vKUg4HJ2/Fxma4fEyaD7W9i8g4hoKuPtBobjZi2zbPqyslGzakIT/f88rDU6eKFQNTRx980Drc3GwW+NWv1mDGjO/k1Z6Vws6UlLKALbpTUxP8OXmJiIgYWBIREZHqCSGwY0cWioqswZgUWDr+4e4umAsUKbizrXqqrg7+H/juqiHdV1h6tuhOaWkjZsyIxfnzFVi6NBFXX/0BVqw4CZPJwgV3yGdKQ6MNBjPefvsI8vPrgnbOL75IcfmYK0IAM2bEery/tDq4J+ew3ae2tgUJCUVu9z96tDDgP4ech5KIiIKJgSURERGp3rFjhXjooQ144IH/AnBXYen5qtb+ojQkXJpTLliEEG4rJd1VSEnPU6raMpvFj/+34Pe/34LKytbK0aYmA154YS8mTPgPUlKsQ2kZaJC3XA2NXrjwoFxRGIxzuloAqC1JSaWYM2en4nyWmZlVmD17KxYtOojaWh3i4vI9PofSPu5+vo4cuQSTicO2iYio6+jR0Q0gIiIiaktmZhUAIC2tEhaLcBlYult4JlCUhoTX1ekBhAetDWazcBuCuBui7i7oNJutAci77x5HfHy+4j5JSSVISrKussyFNag7Wr06GVu2ZOK99+7BNddcgejoCHz++RmsWpUkh/7//nei2581T7j7+VJaTMjf+PNNRETBxMCSiIiIVK+kpFH+uqKi2WVgaTB03JBw2z/mGxr0APoGrQ1tBSHu5s1zN5TcbBY4daoYf//7QQDWCi+GFtRVtad/V1Q0Y/bsbS4f12oDO7+u7XskERFRV8Ah4URERKR6tn+Mnz9f7iawVMeQ8MbGthfW8Ke2rttsdj1k3N1zLRaB55/fA7NZMKykLi8Y/TtQ0yZYLCKgxyciIgo2BpZERESkeiUlTfLXGRmVbgLL4M/hZh3+ba+5ObirlXsS1ObmVitud7fojsFgxqlTxQAYVhL5Q6B/jvhzSkREXQUDSyIiIvKayWSR5zcMBtsKy+zsGtVXWCotwBFInlz3mTNlPj9Xo2HZFhEREREFDwNLIiIi8orRaMZNN32K0aNXQQSgnOfdd49h2bJEu222gWVBQa3LwNLdfIyBorTojk4X3Lk0PQkd09IqfH6uNNyUiIiIiCgYuOgOEREReSU/vw5ZWdbhxadOFWPcuKF+O/alS3V4/fU4AMCUKddhxIiBMJksKC9vHRJeUtKIiAjlX2FMpo4YEu5cYenvSs8LFyqh15sxevSVio97cr6cHO+HhBMRERERdQRWWBIREZFXCgrq5K+Tkkr8emxpvkQA2LfvIgCgvLzJbl62ykqtywrLjggslYaE+zMENBrN+OUv12Ds2M9RWdmsuI8ngWVhYb3PzyUiIiIiCiYGlkREROSV/Pxa+Wup0tJfbAPLs2etcy7aDgcHrBWNrgJLszn4Q5eVKiz9Ob9nVlY1amp0MBotWLs2VXEfT0LHsjLlsLMjhtETEREREbnDwJKIiIi8YlthaRte+sOpU60Vm9nZ1jDUMbDU6UwuA8tgz7VoNlvQ2Oi8wI7Fj4We58+Xy1+fPFmsuI8ngWVtrc7n5xIRERERBRMDSyIiok4iJ6cac+fuspvP0VsGgxlLlhxFQkKRz8coKGgdWlxc3OhmT++YTBa7IeZFRQ0AnANLi0VApzMqHsOfgaUQArm5NW4XFlIKK/3t/PnWxXIyM6sU9/EkdNRqle8ZA0siIiIiUhsGlkRERG04daoYGRmVHd0MvP32UaxcmYRHH431+RibNqXjjTfi8ctffoklS45CCIGqKi2eeWYHhgxZir17c9s8hm1VZUWF8jBjX1y4UGkXqlVWagG0BpYhIa371tU5r8wNwK+rlq9alYTrrvsICxcedLmP0nBwib+Gp9sGllKI68iT0FEIoKEhsPNtEhERERH5AwNLIiIiN0pKGnH77WswbtwXMBiUhyEHS2qqdU7HhIQiWHwcc3z4cAEAa3j1xhvxuOOOtRgx4mN8/vkZlJY2YdasrW0ew3ZIuLvAzlunT9sv4KPTGSGEkANL2yzSVUAnhP9CyyNHCgEAn32W7HIfpQV3JDqdfyoXbYeENzbqFa/P0yrJtDTn4J0VlkRERESkNgwsiYhI9XQ6I6qrAz/0VklCQhEMBjOamgzYsSO7Q9oAWEOlCxesYZPZLPDddxd8Os6xY/ZDwY8eLURNTevchhUVzfJ5lOh0RpSXN9t8778QV1pwR6qkFAIoLW1ESYl3Q+D9tVK4NPy6ttZ1KFlfr1zpCQBabfvb0dCgx6VLrUPwhbBODeDI09BRWsjIFhfdISIiIiK1YWBJRESq9/zz+/D00xk4cuRS0M998uRl+esffrgY9PNLsrKq7Iburl6d5PUxKiubFedA1GhC7L5fvPiwy2PYVlcC7ueT9JYUWNoWEJ44cdlpDsu2uFqQxxsWi0BWlvVemUwWNDcrB+buKky12vYHgWlpFU7b9u/Pc9omBZYhIU4P2VGa2oAVlkRERESkNgwsiYhI9eLi8mGxWOdwDDbbVattF4QJtnPnyu2+T0y87GJP144fV15ox3Ghmt27c1wewzGwBICcnBqv2+JIpzM6XSMAJCWVdkhgWVRUb1c96up+S0PClYJCfwwJtx0OLjlxwrktrgJVRxcvWucf1etN8qrhDCyJiIiISG0YWBIRkao1NOjllagvXFBeITlQHFetlsKejiCFeVIwptOZnOZ8bMvRo9YKVU0b//o3NhrkfR3l59fZtcPaNudhxt5KSSlTXKTm3LlyVFVpvTqWXt/+AM6xEtXVquqBHhLu+LoDyvNQ7t3rWfVvUVEDhBC4777/4qqrliExsYiBJRERERGpDgNLIiJSNdvgqLJS69dVoNuSkWG/anV9vd6pGjFYzp61Ble2l//BB4leHUOav9KT9XrefvuI4nalCssLF5znVHQlN7cGS5cmOA0jl4aDO/JldXZ/DFF3DCyV5n4E3A8J90+FpXVIuO3rXlhYZ7dPQ4MeO3dmO+2npKKiCSdOXMahQwXQ6Ux44IFv0NzsnyH9RERERET+wsCSiIhUzXYBGIsluMOylUI02zktg0lpuLTSXIauNDcbcOZMqcf7Hzp0CUlJJXj77SN4661D8kI2UmBpG4xdvOj5kPAXXtiLV17Zj6ee2mK3XaoWdRxaLVXXeqOpqf0LNDkGlq6GvUtDwpWCwuZm+8CytLQRM2bEYs8e10PubQkh5MDSVl2dfVXntm2ZHg+Dr6/X46OPTtkcq8WvK70TEREREfkDA0siIlI1x2HgW7b4tjq2LxxXrQaAnTs9C5vao6ioHjfd9KlcQVlZ2YzSUueVsquqtCgt9SzQO3HislerZxsMZvz8559j4cKDWLz4MJYssc4fKg0Jd2yvJ0wmi7xw0vffX0BeXut8itIQdMfgz5fhyg0NysO0z5wpxWOPfYe5c3c5Veo2NuphNrfen8xM+6rR4uIGxWO6GxKu09nf74ULDyI2NgMPPbQB2dltT29QXNyoGCZaLMLunn/7bRqAthfcAazD5WNjM9rekYiIiIioAzGwJCIiVZMq3UJDrd8fPVoYtHOfPOm8anVCQuDPHxubgfT0Srz88g+or29RrLKTTJz4H2zfntXmUPljx6zt9iTUUvLll6kAlIeEl5U1e3SMs2fL7KofZ860Vlm+8UYcioqUA0GJN+12DCwvXqzBb3+7CWPGfIZNm9KxcmWS3SrryckluPLKpXj44Q3yNscKS1fBpKerhBcW1mP9+rMArMHtvfd+bReQKlFacEdy4EA+AGtoLVXaejpbgjfBNRERERFRR2BgSUREqiZVWN56a5Td94HW3GxAWppzUOhYedeWy5cb8N57xzFq1Cr89KcrnOYfVJKaap0vUQhg0aKDiguvSAoK6jFt2gbcdNNKt8GlFPT6OgVoQUEdKiubFRfAqanxbFEcx7D5+PEirFhxEsuWnQDge5jqyDYUNZstmDTpa3z/vX1l7uLFrXN0vvFGPLRaI3buzEFRUT3q6lpQVmZf0Wo2C3n4ty33i+60Bpbvv38cRmNrUFhYWI8XX9zr9jqkoFrpvhw/br2X332XwQCSiIiIiLocBpZERKRaBoNZnh/x17++AgBQU6MLysI7Z86UKi6wU1npWTUhALz5ZjyGDfsAr712AOfOlSMvrxaPPLKpzedJgSUArFt3Tg4s3V12Rkblj8Hlp4iLs5/b0mg048SJ9s+9uXjxYcXtTU3Oi7ZY518sh9HYGtpJgaVtAPfCC3vlbe6uz5uX3DawPHq0UB56bqusrAl79uTg2LFC/PBD6wrbS5cmIitLORRXWincfYWlNUgsL2/CF1+kOD3+8cenceKE8urjgPKCO62PWfuEN8PBiYiIiIg6CwaWRESkWjk51TCbrWnNmDHWCkshgMTEwC98Iw0Hd2Q2C+TnOwdgjtauTcU77xyVwyYpUEpOLkVcXL7L57W0mOyqSOvqWrB9e5bH7c7IqMKkSV/bLVZ05kypX1aC/uqrc4rbTSaL0/DmjRvTccstq/DEE98DsAaYruapdLXNV42NrYHlhg2uA72XX/4BCxcetNu2dWum03BwiW2/MxjMSEgowuXLroeySxWWy5YlulwU58EHNyhWSAoh3C6SlJtbi3ffPeb2nrqi0TDdJCIiIiJ1Y2BJRESqJQV3ISFAr16hcui0dWtmwM+ttEK4ZMcOa4B4+XKD4jyEp04VY86cnQBagzLbQGnWrC0uq0TT0yucAqzqap03TYfFIvD2261DnvfuzfXq+a5Ic0MqhX+OwZ0UFH733QUUFtYhO7salZWeDR33lKuqQq3WGlgajWZ5KLjS7b5woQqHDhXYbbt0qV6ucHU8/tmz1u2rVyehX79/4Re/+BIlJa4XPdLpzCgtbcKnnya53KeqSovnn9/jtP3gwQJkZFQqPMOqpkaH11+P8ynoVaocJiIiIiJSEwaWRESkWlKVYI8e1uRI8+O/WtL8fYGi15sUh/9K9u3Lw9NPb8fVV3+AiRO/tFvJurS0EdOnb4Reb92mFCgVFzdi9epkxWPbDgdvD9sqzj17/BNYumO7QIzBYLY7//z5PwR1sSSpmjQ+Pl9xzk1HjsHkmjWpAJxfu9zcWtTU6PDSS/ug0ylXTNqqrDTi/vu/sRuirmT16iSkp7fOlyqEwFtvHVJsW1ttJyIiIiLqChhYEhGRakkL3EjBkTSU1dWQXX8wGs2YMeM7FBe7rpzbvTtHnpPw1KliTJ36DYQQuHixBnfcsdZt1Z3kr3/dr1id6aq6z1vl5c1oajKgulrrtlrUF0ohbFpaazVgQkKRXUi3fXuWXMkYjIBNq7WGiRs2pHt0TsfrcbWQTklJIz7/PNmjsNK6vx4ZGW33VSEg9yHAWl3p6SJJQZjOlYiIiIgo6Hp0dAOIiIhckSospcpKKXiqrW2BxSJ8novPYhE4e7ZMroIMDw/F1VdH4YoreuH3v98izxnZ1kIwkv378/Doo7E4fPiSRxV9gHVhmJUrT+O558bZbU9NVV5gx9O22Fq9OglDhvQNSqiVm1sjf71vn7WiU2qz0WiRh4j7sy2ujqXVGqDXm7B5s+vh4L5oaNDj449PA/Dt9XCnoKAeU6d+g3XrpttVVzKQJCIiIqLuiIElEZHKXLpUh4yMStx337UI6cbjPS0WIVdSSrdBCi6FAO66ax2mTLkODzxwHX72s0Hy85qaDFizJgWjRl2JX/1quNNxy8ub8OijsYpDlHv00MjzR3obFklzJXrjk0+S7AJLKUhV4ktwtXFjOm64YSCAwIdfBQV18td791pX3bY9n7R4UjBotUbs3Zsrz7npLxaLkOfq9ORe9u0bCoPBAr3es2vfvTsXV1/9gbxAD8NKIiIiIuquOCSciEhF6utbcPvta/DAA99g2bITHd2cDlVYWC8PvZUCS9sA9/DhS3j11QO46aaVeOihb3HhQiViY9MxcuQn+Mtf9uKOO9bij3/cZjc0+dSpYowZ85nL+RR9DSt9lZlZhYaGFvn7vLxauxWu2+vs2XLs2+ccHgZCaWnTj/9v9Ns8nL7Ky6vF4sWHAQRmCLonlb0RESH45JORXlcBS2FlN/6sgoiIiIiIgSURkZq8+OI+FBVZK7hef/2Ax8OLHR08mI8HH/wWR49e8mfzgkoaDg6gzUrTHTuyceONn2LGjO/sVqtesyYV1167AtOnb8Rtt63GL3/5pdu5KSXBrGx7770E+Wt/B30GgxkVFc1+PaYrlZXW8/zww0WX+wQrhDtxohgpKdZ76etr6a6tnqyyrdGEICrK94EsrK4kIiIiou6MgSURkUrs3JmNtWtT5e9NJgsefXST2+cIIXDixGW7UOrQoQI88MA32LkzG3fdtR6Jic6rXbe0mLBvXy527MiyW+HaW8XFDdiy5YJTKFZbq8PWrZmYP38fxo//AlOm/NfjhV+EEGhqMsj7extyOVa0lZc3Y+vWTKSklMFodF7kpqOtX39W/tpfC+50BGn4tTQcXOkaghnCtfceumprZ3xtiIiIiIg6m241h+Unn3yC999/H2VlZRg1ahQ++ugjjB07tqObRUSE6motnn56BwD74ciHDl3C/v0Xce+9P3V6TkFBHf78513YuzcXERGh+MtfxuHOO3+CRx+NlYeVmkwW3HnnOiQnP4MBAyKxa1c2duzIxv79edBqjQCAAQN64aWXxuO3v70RfftGoGfPHsjMrMLRo5dw8mQx+vaNwMiRA3HDDQMxevSVGD48GgaDGcuWJeLtt49CqzUiNDQE06bdgNtvH4bdu3Nw8GCBPLxasnt3LqZPvwHPPDNGDhX79g1HTExv9OzZA3Fxedi8ORNxcXlobjbKz/M25PKk+k1NiooaUFLSiCFD+sqBZWesrtPrzZg1a4u84E5HX0Ogzt/R10VERERE1B10m8By48aNmD9/PlatWoVx48Zh+fLlmDx5MrKysjBo0KC2D0BE1Aaz2YKsrGpUV7cO4w4PD0VkZBh69QpDY6MelZVa1Nbq0LdvBAYOjITJZMGmTenYsCEN5eXWKkXHQOQ3v9mEJ564GTExkYiMDENISAhqa3X4+OPTcuio15vx/vsJeP/9BDjS68249dbVLqsLq6t1ePPNg3jzzYMeXWe/fj3Rp0+43dBrs1lg8+YL8qrMEo0GsNicdsuWTGzZkunRebqTf/zjMFatmtrhcz+21/r15zq6CURERERE1AV0m8By2bJlePrpp/GHP/wBALBq1Srs2rULX375JV5//XWPjrFy5Wn07Nlb8TGz2YyMjEpcvHgKoaGhfmu3L4SwVhiZzZYf/+/6a6kSKTQ0BD16aBAaqvnx/63fazQhqK9vQVWVFpWVWvn/9fUt6NUrDNHREejbNwJRUdJ/4fL3PXv2kKvFjEYzmpuN0Gqt/9l+rdUaodMZERHRA5GRYYiMDEPv3mFOX/fooZH3t1iE/DgAxWOGhYUiMrLHj8cIR2RkGMLCNKittV5PU5MB/fv3wsCBkejXr6fTUD/HdlssAhpNCEJDQ+R74/i19f8aGI1mFBbW49KlejQ1GTB0aBSGD49Gnz7hqK7WobJSC6PR7HSt0nV6Sqs14tIl63laWkwYNiwaw4dHo3//Xm6HLhqNZpw+XYo9e/aiocGAqKgIxMRE4ooreiE0NEQ+tnQNDQ16uzZK/4WFtbY1PDxUvs/SMXQ6E86dK0dycikKCupw3XX9MXbsVbjxxhj5uSaTRfH1Cw8PRUxMJAYOjETPnj3k18RkssBoNMNotP7fYDBDqzWiqKgBhYX1qK9vwbXX9sfIkTEYPLg3amqs91uvN8v3uqXFhKoqa3+2nqc3BgzoBa3WKIeKYWGh6N07DBERPaDTWdskVS5af2408n2oqtIiNbVMDhD9qbHRgNWrk9t1DNuwsr0LytTVtaCurkXxWFKfk7ZZvByBHazFbtRm/fqzqKrSejS/ZmfQXV9HIiIiIiLyj24RWBoMBiQnJ2PBggXyNo1Gg3vuuQeJiYlO++v1euj1evn7+vp6AMDrr+8CENHG2VwvNkCkTsFdlCU9vRnp6c5zKvpbXl4Zfvgh4KfxiWOYo9Hgx7DbeXEZi0XAYrHuLxwSIGs43vocIQSEsB7f9jhCWI+hdHxHtudQ2lc6hxCeHc9TQgi3x+rZUwOtVouePQ0QQn3zUPrKYhEwGAR0OuD771Pk7T17corpzq6r9lnquthnqTNhf6XOhn2WOpNA9lchjNDrnf+2VRIiPNmrkyspKcFVV12FhIQETJgwQd7+6quv4vDhwzh58qTd/m+99RYWL14c7GYSERERERERERF1aUVFRRg6dKjbfbpFhaW3FixYgPnz58vfWywW1NTUYMCAAS4rgBoaGnD11VejqKgIUVFRwWqqSz//+c9x+vTpjm6GatoBqKctammHmvqsWu4JoJ62qKUdgDraoqb+CqjjnqipHYB62qKWdqipz6rlngDqaYta2gGopy3ss8rU0ha1tANQR1vU1F8BddwTNbUDUE9b1NIONfVZtdwTQD1tUUs7AHW0JZD9VQiBxsZGDBkypM19u0VgOXDgQISGhqK8vNxue3l5Oa688kqn/SMiIhARYT/0u1+/fh6dKyoqqsPfgAAgNDSU7XCglraopR0SNfRZNd0TtbRFLe0A1NUWNfRXQD33RC3tANTTFrW0Q6KGPqume6KWtqilHYC62gKwzzpSS1vU0g5AXW1RQ38F1HNP1NIOQD1tUUs7JGros2q6J2ppi1raAairLYHqr9HR0R7t1y0myQoPD8eYMWMQFxcnb7NYLIiLi7MbIt6VzJs3r6ObAEA97QDU0xa1tENN1HRP1NIWtbQDUFdb1EIt90Qt7QDU0xa1tENN1HRP1NIWtbQDUFdb1EJN90QtbVFLOwB1tUUt1HJP1NIOQD1tUUs71ERN90QtbVFLOwB1taWjdYs5LAFg48aNmDVrFlavXo2xY8di+fLl2LRpEzIzMzF48OB2H7+hoQHR0dGor69XTRpO5A77LHUm7K/U2bDPUmfDPkudCfsrdTbss9SZqKW/dosh4QDw2GOPobKyEn//+99RVlaG0aNHY+/evX4JKwHrMPJFixY5DSUnUiv2WepM2F+ps2Gfpc6GfZY6E/ZX6mzYZ6kzUUt/7TYVlkRERERERERERKR+3WIOSyIiIiIiIiIiIuocGFgSERERERERERGRajCwJCIiIiIiIiIiItVgYElERERERERERESqwcDSxpEjR/Dggw9iyJAhCAkJwdatW+0eLy8vx+zZszFkyBBERkbivvvuQ05Ojt0+ZWVleOqpp3DllVeid+/euO222/D999/b7XPmzBnce++96NevHwYMGIBnnnkGTU1Ngb486oL80WcvXryI6dOnIyYmBlFRUZgxYwbKy8sVz6fX6zF69GiEhIQgNTU1QFdFXVWw+ivfY8kflixZgp///Ofo27cvBg0ahIcffhhZWVl2+7S0tGDevHkYMGAA+vTpg9/85jdO/bGwsBBTpkxBZGQkBg0ahL/+9a8wmUyK5zx+/Dh69OiB0aNHB+qyqAsLZp/95JNPMHLkSPTq1QsjRozA+vXrA3591PX4q8/+5S9/wZgxYxAREdHm+2dubi769u2Lfv36+flqqKsLZn/dtGkTRo8ejcjISAwfPhzvv/9+oC6LujB/9NmzZ8/i8ccfx9VXX41evXph5MiR+PDDD12e09+/yzKwtNHc3IxRo0bhk08+cXpMCIGHH34YeXl52LZtG1JSUjB8+HDcc889aG5ulvebOXMmsrKysH37dpw/fx6PPPIIZsyYgZSUFABASUkJ7rnnHlx77bU4efIk9u7di/T0dMyePTtYl0ldSHv7bHNzMyZNmoSQkBDEx8fj+PHjMBgMePDBB2GxWJyO+eqrr2LIkCEBvy7qmoLRX/keS/5y+PBhzJs3DydOnMD+/fthNBoxadIku3/zX3rpJezYsQOxsbE4fPgwSkpK8Mgjj8iPm81mTJkyBQaDAQkJCVi3bh3Wrl2Lv//9707nq6urw8yZM3H33XcH5fqo6wlWn125ciUWLFiAt956C+np6Vi8eDHmzZuHHTt2BPV6qfPzR5+V/PGPf8Rjjz3m9nxGoxGPP/44br/9dr9fC3V9weqve/bswZNPPok5c+YgLS0Nn376KT744AN8/PHHAbs26pr80WeTk5MxaNAgfP3110hPT8ff/vY3LFiwQLE/BuR3WUGKAIgtW7bI32dlZQkAIi0tTd5mNptFTEyM+Pzzz+VtvXv3FuvXr7c7Vv/+/eV9Vq9eLQYNGiTMZrP8+Llz5wQAkZOTE6Croe7Alz67b98+odFoRH19vbxPXV2dCAkJEfv377c7/u7du8UNN9wg0tPTBQCRkpIS0Ouhri1Q/ZXvsRQoFRUVAoA4fPiwEMLa98LCwkRsbKy8z4ULFwQAkZiYKISwvm9qNBpRVlYm77Ny5UoRFRUl9Hq93fEfe+wx8eabb4pFixaJUaNGBf6CqMsLVJ+dMGGCeOWVV+zONX/+fPGLX/wi0JdEXZwvfdZWW++fr776qvj9738v1qxZI6Kjo/3dfOpmAtVfH3/8cfHb3/7WbtuKFSvE0KFDhcVi8e9FULfS3j4rmTt3rrjzzjudtgfid1lWWHpIr9cDAHr27Clv02g0iIiIwLFjx+RtEydOxMaNG1FTUwOLxYINGzagpaUFv/71r+XjhIeHQ6NpvfW9evUCALvjELWXJ31Wr9cjJCQEERER8j49e/aERqOx64/l5eV4+umn8dVXXyEyMjJIV0Ddib/6K99jKVDq6+sBAP379wdg/cTZaDTinnvukfe54YYbMGzYMCQmJgIAEhMTcfPNN2Pw4MHyPpMnT0ZDQwPS09PlbWvWrEFeXh4WLVoUjEuhbiJQfVav19u9VwPW99lTp07BaDQG9Jqoa/Olz3oqPj4esbGxiqM8iHwRqP7q6j328uXLuHTpkh9aTt2Vv/psfX29fAxJoH6XZWDpIemFW7BgAWpra2EwGPDuu+/i8uXLKC0tlffbtGkTjEYjBgwYgIiICDz77LPYsmULrr32WgDAXXfdhbKyMrz//vswGAyora3F66+/DgB2xyFqL0/67Pjx49G7d2+89tpr0Gq1aG5uxiuvvAKz2SzvI4TA7NmzMWfOHPzf//1fR14SdWH+6q98j6VAsFgsePHFF/GLX/wCN910EwDrnNXh4eFO86ANHjwYZWVl8j62wY/0uPQYAOTk5OD111/H119/jR49egT4Sqi7CGSfnTx5Mr744gskJydDCIGkpCR88cUXMBqNqKqqCvCVUVfla5/1RHV1NWbPno21a9ciKirKn82mbiqQ/XXy5MnYvHkz4uLiYLFYkJ2djaVLlwLg77LkO3/12YSEBGzcuBHPPPOMvC2Qv8sysPRQWFgYNm/ejOzsbPTv3x+RkZE4ePAg7r//frtKnoULF6Kurg4HDhxAUlIS5s+fjxkzZuD8+fMAgJ/97GdYt24dli5disjISFx55ZW45pprMHjwYLvjELWXJ302JiYGsbGx2LFjB/r06YPo6GjU1dXhtttuk/f56KOP0NjYiAULFnTk5VAX56/+yvdYCoR58+YhLS0NGzZs8OtxzWYznnjiCSxevBjXX3+9X49N3Vug+ixg/V33/vvvx/jx4xEWFoZp06Zh1qxZAMD3WfJZIPvs008/jSeeeAK/+tWv/H5s6p4C3V+fe+45TJ06FeHh4Rg/fjx+97vfAeB7LPnOH302LS0N06ZNw6JFizBp0iQAQfhd1i8Dy7sgOMyvZquurk5UVFQIIYQYO3asmDt3rhBCiNzcXKc52IQQ4u677xbPPvus03HKyspEY2OjaGpqEhqNRmzatMm/F0Hdii991lZlZaWora0VQggxePBg8d577wkhhJg2bZrQaDQiNDRU/g+ACA0NFTNnzgzItVDXF6j+aovvseQP8+bNE0OHDhV5eXl22+Pi4gQAuR9Khg0bJpYtWyaEEGLhwoVOc/jk5eUJAOLMmTOitrZWfj+V/gsJCZG3xcXFBfLSqIsKZJ+1ZTAYRFFRkTCZTOLTTz8Vffv2tZs/mMhT7emztlzNmxYdHW33PqvRaOT32f/85z/+vBTqBgLdXyUmk0lcvnxZ6PV6sXv3bgFA/v2YyBv+6LPp6eli0KBB4o033rDbHujfZRnR+yA6OhoxMTHIyclBUlISpk2bBgDQarUAnD/5CA0NVVxxefDgwejTpw82btyInj174t577w1846lbctVnbQ0cOBD9+vVDfHw8Kioq8NBDDwEAVqxYgbNnzyI1NRWpqanYvXs3AGDjxo145513gnod1D20p7/a4nsstYcQAs899xy2bNmC+Ph4XHPNNXaPjxkzBmFhYYiLi5O3ZWVlobCwEBMmTAAATJgwAefPn0dFRYW8z/79+xEVFYUbb7wRUVFROH/+vPz+mpqaijlz5mDEiBFITU3FuHHjgnOx1CUEo8/aCgsLw9ChQxEaGooNGzZg6tSprP4hr/ijz3oiMTHR7n32H//4B/r27YvU1FRMnz7db9dDXVuw+qskNDQUV111FcLDw/Htt99iwoQJiImJafd1UPfhrz6bnp6OO++8E7NmzXL6+z/Qv8tysiQbTU1NyM3Nlb/Pz89Hamoq+vfvj2HDhiE2NhYxMTEYNmwYzp8/jxdeeAEPP/ywXA57ww034Nprr8Wzzz6Lf//73xgwYAC2bt2K/fv3Y+fOnfJxP/74Y0ycOBF9+vTB/v378de//hX/+te/nOYOIGpLe/ssYJ0gd+TIkYiJiUFiYiJeeOEFvPTSSxgxYgQAYNiwYXbn7NOnDwDgpz/9KYYOHRqEq6SuIhj9FeB7LPnHvHnz8M0332Dbtm3o27evPJdPdHQ0evXqhejoaPzpT3/C/Pnz0b9/f0RFReH555/HhAkTMH78eADApEmTcOONN+Kpp57Ce++9h7KyMrz55puYN2+evHiUNI+QZNCgQejZs6fTdqK2BKvPZmdn49SpUxg3bhxqa2uxbNkypKWlYd26dR127dQ5+aPPAkBubi6amppQVlYGnU6H1NRUAMCNN96I8PBwjBw50u68SUlJ0Gg0fJ8lrwSrv1ZVVeG7777Dr3/9a7S0tGDNmjWIjY3F4cOHO+KyqRPzR59NS0vDXXfdhcmTJ2P+/PnyMUJDQxETE6P4XurX32XbVZ/ZxRw8eFAAcPpv1qxZQgghPvzwQzF06FARFhYmhg0bJt58802h1+vtjpGdnS0eeeQRMWjQIBEZGSluueUWsX79ert9nnrqKdG/f38RHh6u+DiRp/zRZ1977TUxePBgERYWJq677jqxdOlSYbFYXJ4zPz9fABApKSkBvDLqioLVX/keS/6g1FcBiDVr1sj76HQ6MXfuXHHFFVeIyMhIMX36dFFaWmp3nIKCAnH//feLXr16iYEDB4qXX35ZGI1Gl+dta4gYkSvB6rMZGRli9OjRolevXiIqKkpMmzZNZGZmBusyqQvxV5+94447FI+Tn5+veN41a9aI6OjowF0YdUnB6q+VlZVi/Pjxonfv3iIyMlLcfffd4sSJE0G8Uuoq/NFnFy1apHiM4cOHuzyvP3+XDfnxQoiIiIiIiIiIiIg6HCeaISIiIiIiIiIiItVgYElERERERERERESqwcCSiIiIiIiIiIiIVIOBJREREREREREREakGA0siIiIiIiIiIiJSDQaWREREREREREREpBoMLImIiIiIiIiIiEg1GFgSERERERERERGRajCwJCIiIiIiIiIiItVgYElEREREqjF79myEhIQgJCQEYWFhGDx4MO699158+eWXsFgsHh9n7dq16NevX+AaSkREREQBw8CSiIiIiFTlvvvuQ2lpKQoKCrBnzx7ceeedeOGFFzB16lSYTKaObh4RERERBRgDSyIiIiJSlYiICFx55ZW46qqrcNttt+GNN97Atm3bsGfPHqxduxYAsGzZMtx8883o3bs3rr76asydOxdNTU0AgEOHDuEPf/gD6uvr5WrNt956CwCg1+vxyiuv4KqrrkLv3r0xbtw4HDp0qGMulIiIiIgUMbAkIiIiItW76667MGrUKGzevBkAoNFosGLFCqSnp2PdunWIj4/Hq6++CgCYOHEili9fjqioKJSWlqK0tBSvvPIKAOC5555DYmIiNmzYgHPnzuHRRx/Ffffdh5ycnA67NiIiIiKyFyKEEB3dCCIiIiIiwDqHZV1dHbZu3er02O9+9zucO3cOGRkZTo999913mDNnDqqqqgBY57B88cUXUVdXJ+9TWFiI//3f/0VhYSGGDBkib7/nnnswduxY/POf//T79RARERGR93p0dAOIiIiIiDwhhEBISAgA4MCBA1iyZAkyMzPR0NAAk8mElpYWaLVaREZGKj7//PnzMJvNuP766+226/V6DBgwIODtJyIiIiLPMLAkIiIiok7hwoULuOaaa1BQUICpU6fiz3/+M9555x30798fx44dw5/+9CcYDAaXgWVTUxNCQ0ORnJyM0NBQu8f69OkTjEsgIiIiIg8wsCQiIiIi1YuPj8f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", "text/plain": [ "
" ] @@ -398,10 +403,10 @@ "id": "common-louis", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:01.403372Z", - "iopub.status.busy": "2024-09-13T08:21:01.403185Z", - "iopub.status.idle": "2024-09-13T08:21:01.670307Z", - "shell.execute_reply": "2024-09-13T08:21:01.669710Z" + "iopub.execute_input": "2025-03-03T16:22:07.402856Z", + "iopub.status.busy": "2025-03-03T16:22:07.402663Z", + "iopub.status.idle": "2025-03-03T16:22:07.655265Z", + "shell.execute_reply": "2025-03-03T16:22:07.654768Z" }, "tags": [ "remove-input" @@ -410,7 +415,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -446,10 +451,10 @@ "id": "smooth-stupid", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:01.672657Z", - "iopub.status.busy": "2024-09-13T08:21:01.672450Z", - "iopub.status.idle": "2024-09-13T08:21:02.046865Z", - "shell.execute_reply": "2024-09-13T08:21:02.046288Z" + "iopub.execute_input": "2025-03-03T16:22:07.657108Z", + "iopub.status.busy": "2025-03-03T16:22:07.656920Z", + "iopub.status.idle": "2025-03-03T16:22:07.968689Z", + "shell.execute_reply": "2025-03-03T16:22:07.968124Z" }, "tags": [ "remove-input" @@ -458,7 +463,7 @@ "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -493,10 +498,10 @@ "id": "0652f359", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:02.049559Z", - "iopub.status.busy": "2024-09-13T08:21:02.049136Z", - "iopub.status.idle": "2024-09-13T08:21:02.219183Z", - "shell.execute_reply": "2024-09-13T08:21:02.218585Z" + "iopub.execute_input": "2025-03-03T16:22:07.970555Z", + "iopub.status.busy": "2025-03-03T16:22:07.970363Z", + "iopub.status.idle": "2025-03-03T16:22:08.119088Z", + "shell.execute_reply": "2025-03-03T16:22:08.118583Z" }, "tags": [ "remove-input" @@ -505,7 +510,7 @@ "outputs": [ { "data": { - "image/png": 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" ] @@ -538,10 +543,10 @@ "id": "96ff98c6", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:02.221472Z", - "iopub.status.busy": "2024-09-13T08:21:02.221290Z", - "iopub.status.idle": "2024-09-13T08:21:02.482349Z", - "shell.execute_reply": "2024-09-13T08:21:02.481880Z" + "iopub.execute_input": "2025-03-03T16:22:08.120966Z", + "iopub.status.busy": "2025-03-03T16:22:08.120775Z", + "iopub.status.idle": "2025-03-03T16:22:08.402054Z", + "shell.execute_reply": "2025-03-03T16:22:08.401483Z" }, "tags": [ "remove-input" @@ -550,7 +555,7 @@ "outputs": [ { "data": { - "image/png": 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" ] @@ -595,10 +600,10 @@ "id": "6815f0a1", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:02.484535Z", - "iopub.status.busy": "2024-09-13T08:21:02.484248Z", - "iopub.status.idle": "2024-09-13T08:21:02.743497Z", - "shell.execute_reply": "2024-09-13T08:21:02.742894Z" + "iopub.execute_input": "2025-03-03T16:22:08.403917Z", + "iopub.status.busy": "2025-03-03T16:22:08.403727Z", + "iopub.status.idle": "2025-03-03T16:22:08.688602Z", + "shell.execute_reply": "2025-03-03T16:22:08.688030Z" }, "tags": [ "remove-input" @@ -607,7 +612,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -663,10 +668,10 @@ "id": "04a26e54", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:21:02.745797Z", - "iopub.status.busy": "2024-09-13T08:21:02.745445Z", - "iopub.status.idle": "2024-09-13T08:21:02.758949Z", - "shell.execute_reply": "2024-09-13T08:21:02.758512Z" + "iopub.execute_input": "2025-03-03T16:22:08.690630Z", + "iopub.status.busy": "2025-03-03T16:22:08.690416Z", + "iopub.status.idle": "2025-03-03T16:22:08.705694Z", + "shell.execute_reply": "2025-03-03T16:22:08.705066Z" }, "tags": [ "remove-input" @@ -676,7 +681,7 @@ { "data": { "text/html": [ - "\n", + "
\n", "\n", " \n", " \n", @@ -686,7 +691,6 @@ " \n", " \n", "\n", - "\n", "\n", - "\n", "
\n", - "\n", - "
\n", - "Loading ITables v2.1.5 from the internet...\n", + "Loading ITables v2.2.5 from the internet...\n", "(need help?)
\n", - "\n", + "\n", "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.core.magic import register_cell_magic\n", + "from IPython.display import Markdown\n", + "import datetime\n", + "from datetime import date\n", + "import glob\n", + "import json\n", + "import logging\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "import plotly\n", + "import warnings\n", + "import calplot\n", + "from itables import init_notebook_mode, show\n", + "import itables.options as opt\n", + "\n", + "opt.dom = \"tpir\"\n", + "opt.style = \"table-layout:auto;width:auto\"\n", + "init_notebook_mode(all_interactive=True, connected=True)\n", + "\n", + "@register_cell_magic\n", + "def markdown(line, cell):\n", + " return Markdown(cell.format(**globals()))\n", + "\n", + "\n", + "logging.getLogger('matplotlib.font_manager').disabled = True\n", + "warnings.filterwarnings(\"ignore\")\n", + "pd.set_option('display.width', 500)\n", + "pd.set_option('display.max_rows', 50)\n", + "pd.set_option('display.max_columns', 10)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:38:07.437367Z", + "iopub.status.busy": "2025-03-03T16:38:07.436898Z", + "iopub.status.idle": "2025-03-03T16:38:35.634282Z", + "shell.execute_reply": "2025-03-03T16:38:35.633583Z" + }, + "tags": [ + "remove-cell" + ] + }, + "outputs": [], + "source": [ + "row_accumulator = []\n", + "\n", + "for filename in glob.glob('nvd.jsonl'):\n", + " with open(filename, 'r', encoding='utf-8') as f:\n", + " nvd_data = json.load(f)\n", + " for entry in nvd_data:\n", + " if 'configurations' in entry['cve']:\n", + " for config in entry['cve']['configurations']:\n", + " for node in config['nodes']:\n", + " for cpe in node['cpeMatch']:\n", + " if cpe['vulnerable']:\n", + " cve = entry['cve']['id']\n", + " try:\n", + " published_date = entry['cve']['published']\n", + " except KeyError:\n", + " published_date = 'Missing_Data'\n", + " cpe_string = cpe['criteria']\n", + " try:\n", + " end = cpe['versionEndExcluding']\n", + " except: \n", + " end = 'None'\n", + " try:\n", + " end2 = cpe['versionEndIncluding']\n", + " except: \n", + " end2 = 'None' \n", + " try:\n", + " start = cpe['versionStartExcluding']\n", + " except: \n", + " start = 'None'\n", + " try:\n", + " start2 = cpe['versionStartIncluding']\n", + " except: \n", + " start2 = 'None' \n", + " new_row = { \n", + " 'CVE': cve,\n", + " 'Published': published_date,\n", + " 'CPE' : cpe_string,\n", + " 'StartI' : start,\n", + " 'StartE' : start2,\n", + " 'EndI' : end,\n", + " 'EndE' : end2 \n", + " }\n", + " row_accumulator.append(new_row)\n", + " \n", + " \n", + " \n", + "nvd = pd.DataFrame(row_accumulator)\n", + "thisyear = ((nvd['Published'] > '2000-01-01') & (nvd['Published'] < '2025-01-01'))\n", + "nvd = nvd.loc[thisyear]\n", + "nvd = nvd.sort_values(by=['Published'])" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "f0210783", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "source": [ + "## CPE Data" + ] + }, + { + "cell_type": "markdown", + "id": "0c3388d0", + "metadata": {}, + "source": [ + "### CVEs With Most CPEs" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "96ff98c6", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:38:35.636831Z", + "iopub.status.busy": "2025-03-03T16:38:35.636623Z", + "iopub.status.idle": "2025-03-03T16:38:35.890988Z", + "shell.execute_reply": "2025-03-03T16:38:35.890453Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + "
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\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "show(nvd['CVE'].value_counts().head(20), scrollY=\"400px\", scrollCollapse=True, paging=False)" + ] + }, + { + "cell_type": "markdown", + "id": "6e5141bf", + "metadata": {}, + "source": [ + "### Most Common CPEs" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "bd16e9ab", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:38:35.893243Z", + "iopub.status.busy": "2025-03-03T16:38:35.892748Z", + "iopub.status.idle": "2025-03-03T16:38:36.456345Z", + "shell.execute_reply": "2025-03-03T16:38:36.455830Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + "
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\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "show(nvd['CPE'].value_counts().head(20), scrollY=\"400px\", scrollCollapse=True, paging=False)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "5dbbc915", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "source": [ + "### Unique CPEs" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "04a26e54", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:38:36.458175Z", + "iopub.status.busy": "2025-03-03T16:38:36.457986Z", + "iopub.status.idle": "2025-03-03T16:38:36.958785Z", + "shell.execute_reply": "2025-03-03T16:38:36.958194Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "348339" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nvd['CPE'].nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "20ee3a71", + "metadata": { + "execution": { + "iopub.execute_input": "2025-03-03T16:38:36.960985Z", + "iopub.status.busy": "2025-03-03T16:38:36.960562Z", + "iopub.status.idle": "2025-03-03T16:38:36.965130Z", + "shell.execute_reply": "2025-03-03T16:38:36.964615Z" + }, + "tags": [ + "remove-input" + ] + }, + "outputs": [ + { + "data": { + "text/markdown": [ + "This report is updated automatically every day, last generated on: **2025-03-03 16:38:36.961927**" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Markdown(f\"This report is updated automatically every day, last generated on: **{datetime.datetime.now()}**\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/CVECVSS.ipynb b/CVECVSS.ipynb index a6104ad9c5..20918eb7f4 100644 --- a/CVECVSS.ipynb +++ b/CVECVSS.ipynb @@ -15,10 +15,10 @@ "id": "a8face4a-ddee-4bd5-a84e-97f2bd508491", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:29:54.316128Z", - "iopub.status.busy": "2024-09-13T08:29:54.315947Z", - "iopub.status.idle": "2024-09-13T08:29:54.715760Z", - "shell.execute_reply": "2024-09-13T08:29:54.715090Z" + "iopub.execute_input": "2025-03-03T16:36:31.662430Z", + "iopub.status.busy": "2025-03-03T16:36:31.661930Z", + "iopub.status.idle": "2025-03-03T16:36:32.061808Z", + "shell.execute_reply": "2025-03-03T16:36:32.061245Z" }, "tags": [ "remove-cell" @@ -61,10 +61,10 @@ "id": "fb89c5a2-83da-459d-be6c-456a949cf3dd", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:29:54.718620Z", - "iopub.status.busy": "2024-09-13T08:29:54.718181Z", - "iopub.status.idle": "2024-09-13T08:30:14.724347Z", - "shell.execute_reply": "2024-09-13T08:30:14.723793Z" + "iopub.execute_input": "2025-03-03T16:36:32.064178Z", + "iopub.status.busy": "2025-03-03T16:36:32.063752Z", + "iopub.status.idle": "2025-03-03T16:36:57.427842Z", + "shell.execute_reply": "2025-03-03T16:36:57.427253Z" }, "tags": [ "remove-cell" @@ -142,6 +142,10 @@ " description = entry['cve']['descriptions'][0]['value']\n", " except IndexError:\n", " description = ''\n", + " try: \n", + " vulnStatus = entry['cve']['vulnStatus']\n", + " except IndexError:\n", + " vulnStatus = '' \n", " new_row = {\n", " 'CVE': cve,\n", " 'Published': published_date,\n", @@ -159,12 +163,13 @@ " 'ImpactScore': impact_score,\n", " 'CWE': cwe,\n", " 'Description': description,\n", - " 'Assigner' : assigner\n", + " 'Assigner' : assigner,\n", + " 'Status': vulnStatus \n", " }\n", - " if not description.startswith('rejected reason'): \n", - " row_accumulator.append(new_row)\n", + " row_accumulator.append(new_row)\n", " nvd = pd.DataFrame(row_accumulator)\n", - " \n", + "\n", + "nvd = nvd[~nvd.Status.str.contains('Rejected')]\n", "nvd['Published'] = pd.to_datetime(nvd['Published'])\n", "nvd = nvd.sort_values(by=['Published'])\n", "nvd = nvd.reset_index(drop=True)\n", @@ -193,10 +198,10 @@ "id": "6eb47510-9e6a-42c4-bb57-34763a056c67", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:30:14.727177Z", - "iopub.status.busy": "2024-09-13T08:30:14.726788Z", - "iopub.status.idle": "2024-09-13T08:30:15.147570Z", - "shell.execute_reply": "2024-09-13T08:30:15.147032Z" + "iopub.execute_input": "2025-03-03T16:36:57.430328Z", + "iopub.status.busy": "2025-03-03T16:36:57.429915Z", + "iopub.status.idle": "2025-03-03T16:36:57.893558Z", + "shell.execute_reply": "2025-03-03T16:36:57.892940Z" }, "tags": [ "remove-input" @@ -205,7 +210,7 @@ "outputs": [ { "data": { - "image/png": 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", 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2025Missing_Data1599
2025LOCAL1066
2025ADJACENT_NETWORK157
2024Missing_Data54892025PHYSICAL88
2024LOCAL43752024NETWORK26494
2024ADJACENT_NETWORK6042024LOCAL8837
2024PHYSICAL1952024Missing_Data3050
2023NETWORK217332024ADJACENT_NETWORK1264
2023LOCAL63802024PHYSICAL346
2023Missing_Data21292023NETWORK21032
2023ADJACENT_NETWORK4902023LOCAL6550
2023PHYSICAL2172023ADJACENT_NETWORK982
2022NETWORK181082023PHYSICAL254
2022LOCAL61732022NETWORK17853
2022Missing_Data14562022LOCAL6251
2022ADJACENT_NETWORK4522022ADJACENT_NETWORK616
2022PHYSICAL2422022PHYSICAL255
2021NETWORK140412022Missing_Data99
2021LOCAL52522021NETWORK13831
2021Missing_Data19042021LOCAL5275
2021ADJACENT_NETWORK5592021ADJACENT_NETWORK728
2021PHYSICAL1942021PHYSICAL212
2020NETWORK128672021Missing_Data104
2020LOCAL44572020NETWORK12774
2020Missing_Data9002020LOCAL4484
2020ADJACENT_NETWORK7062020ADJACENT_NETWORK765
2020PHYSICAL2922020PHYSICAL299
2019Missing_Data98672019Missing_Data8198
2019NETWORK67822019NETWORK6802
2019LOCAL19952019LOCAL2004
2019ADJACENT_NETWORK1642019ADJACENT_NETWORK169
2019PHYSICAL1302019PHYSICAL132
2018Missing_Data164272018Missing_Data14749
2018NETWORK13352018NETWORK1363
2018LOCAL3352018LOCAL341
2018ADJACENT_NETWORK362018ADJACENT_NETWORK36
2018PHYSICAL212018PHYSICAL21
2017Missing_Data164912017Missing_Data12964
2017NETWORK11742017NETWORK1203
2017LOCAL4112017LOCAL438
2017ADJACENT_NETWORK202017ADJACENT_NETWORK20
2017PHYSICAL172017PHYSICAL17
2016Missing_Data57512016Missing_Data5678
2016NETWORK5232016NETWORK527
2016LOCAL2342016LOCAL235
2016ADJACENT_NETWORK52016ADJACENT_NETWORK5
2016PHYSICAL42016PHYSICAL4
2015Missing_Data65302015Missing_Data6419
2015NETWORK512015NETWORK57
2015LOCAL142015LOCAL17
2014Missing_Data79312015PHYSICAL1
2014NETWORK512014Missing_Data7836
2014LOCAL242014NETWORK63
2014PHYSICAL22014LOCAL27
2013Missing_Data52772014PHYSICAL2
2013NETWORK322013Missing_Data5112
2013LOCAL142013NETWORK47
2013ADJACENT_NETWORK12013LOCAL27
2012Missing_Data52702013ADJACENT_NETWORK1
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2011ADJACENT_NETWORK12011LOCAL19
2011PHYSICAL12011ADJACENT_NETWORK2
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2009Missing_Data57042010LOCAL37
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2009LOCAL352009NETWORK55
2008Missing_Data56062009LOCAL37
2008NETWORK442008Missing_Data5566
2008LOCAL142008NETWORK49
2007Missing_Data65692008LOCAL17
2007NETWORK172007Missing_Data6474
2007LOCAL82007NETWORK31
2007PHYSICAL12007LOCAL9
2007ADJACENT_NETWORK12007PHYSICAL1
2006Missing_Data66432007ADJACENT_NETWORK1
2006NETWORK122006Missing_Data6578
2006LOCAL42006NETWORK22
2005Missing_Data49572006LOCAL8
2005NETWORK362005Missing_Data4869
2005LOCAL172005NETWORK44
2004Missing_Data24382005LOCAL19
2004NETWORK282004Missing_Data2408
2004LOCAL132004NETWORK29
2003Missing_Data15312004LOCAL14
2003NETWORK142003Missing_Data1510
2003LOCAL32003NETWORK14
2002Missing_Data21162003LOCAL3
2002NETWORK342002Missing_Data2102
2002LOCAL202002NETWORK34
2001Missing_Data16442002LOCAL20
2001NETWORK242001Missing_Data1639
2001LOCAL112001NETWORK26
2000Missing_Data10112001LOCAL11
2000NETWORK62000Missing_Data1010
2000LOCAL32000NETWORK6
1999Missing_Data9162000LOCAL3
1999NETWORK51999Missing_Data887
1999LOCAL21999NETWORK5
1998Missing_Data2401999LOCAL2
1998NETWORK41998Missing_Data239
1998LOCAL31998NETWORK4
1997Missing_Data2481998LOCAL3
1997LOCAL31997Missing_Data246
1997NETWORK21997NETWORK3
1996Missing_Data731997LOCAL3
1996LOCAL11996Missing_Data72
1996NETWORK11996NETWORK1
1995Missing_Data241996LOCAL1
1995NETWORK11995Missing_Data24
1994Missing_Data261995NETWORK1
1993Missing_Data131994Missing_Data25
1992Missing_Data141993Missing_Data13
1991Missing_Data151992Missing_Data13
1990Missing_Data101991Missing_Data15
1990LOCAL11990Missing_Data10
1989Missing_Data31990LOCAL1
1988Missing_Data21989Missing_Data3
1988Missing_Data2
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Xnt=uo();$ae.exports=function(t,r){r||(r=2);var n=t.marker,i=n.sizeref||1,a=n.sizemin||0,o=n.sizemode===\"area\"?function(s){return Math.sqrt(s/i)}:function(s){return s/i};return function(s){var l=o(s/r);return Xnt(l)&&l>0?Math.max(l,a):0}}});var rp=ye(pv=>{\"use strict\";var Qae=Mr();pv.getSubplot=function(e){return e.subplot||e.xaxis+e.yaxis||e.geo};pv.isTraceInSubplots=function(e,t){if(e.type===\"splom\"){for(var r=e.xaxes||[],n=e.yaxes||[],i=0;i=0&&r.index{roe.exports=Qnt;var kO={a:7,c:6,h:1,l:2,m:2,q:4,s:4,t:2,v:1,z:0},$nt=/([astvzqmhlc])([^astvzqmhlc]*)/ig;function Qnt(e){var t=[];return e.replace($nt,function(r,n,i){var a=n.toLowerCase();for(i=tat(i),a==\"m\"&&i.length>2&&(t.push([n].concat(i.splice(0,2))),a=\"l\",n=n==\"m\"?\"l\":\"L\");;){if(i.length==kO[a])return i.unshift(n),t.push(i);if(i.length{\"use strict\";var rat=XS(),Yn=function(e,t){return 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Boe=uo(),jO=Mr(),Pat=es().BADNUM,fL=jO.isArrayOrTypedArray,Iat=jO.isDateTime,Rat=jO.cleanNumber,Noe=Math.round;Voe.exports=function(t,r,n){var i=t,a=n.noMultiCategory;if(fL(i)&&!i.length)return\"-\";if(!a&&Oat(i))return\"multicategory\";if(a&&Array.isArray(i[0])){for(var o=[],s=0;sa*2}function Uoe(e){return Math.max(1,(e-1)/1e3)}function qat(e,t){for(var r=e.length,n=Uoe(r),i=0,a=0,o={},s=0;si*2}function Oat(e){return fL(e[0])&&fL(e[1])}});var wg=ye((vrr,Koe)=>{\"use strict\";var Bat=xa(),Woe=uo(),o_=Mr(),hL=es().FP_SAFE,Nat=ba(),Uat=ao(),Zoe=af(),Vat=Zoe.getFromId,Hat=Zoe.isLinked;Koe.exports={applyAutorangeOptions:Yoe,getAutoRange:WO,makePadFn:ZO,doAutoRange:jat,findExtremes:Wat,concatExtremes:KO};function WO(e,t){var r,n,i=[],a=e._fullLayout,o=ZO(a,t,0),s=ZO(a,t,1),l=KO(e,t),u=l.min,c=l.max;if(u.length===0||c.length===0)return o_.simpleMap(t.range,t.r2l);var 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o=Vo.simpleMap(t.range,t.r2l);i=[o[0],.8*o[0]+.2*o[1]]}if(e.range=Vo.simpleMap(i,t.l2r),e._isMinor=!0,kn.prepTicks(e,r),n){var s=ph(t.dtick),l=ph(e.dtick),u=s?t.dtick:+t.dtick.substring(1),c=l?e.dtick:+e.dtick.substring(1);s&&l?JO(u,c)?u===2*Yp&&c===2*Fv&&(e.dtick=Yp):u===2*Yp&&c===3*Fv?e.dtick=Yp:u===Yp&&!(t._input.minor||{}).nticks?e.dtick=Fv:rse(u/c,2.5)?e.dtick=u/2:e.dtick=u:String(t.dtick).charAt(0)===\"M\"?l?e.dtick=\"M1\":JO(u,c)?u>=12&&c===2&&(e.dtick=\"M3\"):e.dtick=t.dtick:String(e.dtick).charAt(0)===\"L\"?String(t.dtick).charAt(0)===\"L\"?JO(u,c)||(e.dtick=rse(u/c,2.5)?t.dtick/2:t.dtick):e.dtick=\"D1\":e.dtick===\"D2\"&&+t.dtick>1&&(e.dtick=1)}e.range=t.range}t.minor._tick0Init===void 0&&(e.tick0=t.tick0)};function JO(e,t){return Math.abs((e/t+.5)%1-.5)<.001}function rse(e,t){return Math.abs(e/t-1)<.001}kn.prepTicks=function(e,t){var r=Vo.simpleMap(e.range,e.r2l,void 0,void 0,t);if(e.tickmode===\"auto\"||!e.dtick){var n=e.nticks,i;n||(e.type===\"category\"||e.type===\"multicategory\"?(i=e.tickfont?Vo.bigFont(e.tickfont.size||12):15,n=e._length/i):(i=e._id.charAt(0)===\"y\"?40:80,n=Vo.constrain(e._length/i,4,9)+1),e._name===\"radialaxis\"&&(n*=2)),e.minor&&e.minor.tickmode!==\"array\"||e.tickmode===\"array\"&&(n*=100),e._roughDTick=Math.abs(r[1]-r[0])/n,kn.autoTicks(e,e._roughDTick),e._minDtick>0&&e.dtick0?(a=n-1,o=n):(a=n,o=n);var s=e[a].value,l=e[o].value,u=Math.abs(l-s),c=r||u,f=0;c>=mL?u>=mL&&u<=Qat?f=u:f=gL:r===eB&&c>=yL?u>=yL&&u<=eot?f=u:f=eB:c>=_L?u>=_L&&u<=tot?f=u:f=R3:r===Yp&&c>=Yp?f=Yp:c>=Fv?f=Fv:r===s_&&c>=s_?f=s_:r===xm&&c>=xm&&(f=xm);var h;f>=u&&(f=u,h=!0);var d=i+f;if(t.rangebreaks&&f>0){for(var v=84,x=0,b=0;bYp&&(f=u)}(f>0||n===0)&&(e[n].periodX=i+f/2)}}kn.calcTicks=function(t,r){for(var n=t.type,i=t.calendar,a=t.ticklabelstep,o=t.ticklabelmode===\"period\",s=t.range[0]>t.range[1],l=!t.ticklabelindex||Vo.isArrayOrTypedArray(t.ticklabelindex)?t.ticklabelindex:[t.ticklabelindex],u=Vo.simpleMap(t.range,t.r2l,void 0,void 0,r),c=u[1]=(k?0:1);A--){var L=!A;A?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var _=A?t:Vo.extendFlat({},t,t.minor);if(L?kn.prepMinorTicks(_,t,r):kn.prepTicks(_,r),_.tickmode===\"array\"){A?(b=[],v=ise(t,!L)):(g=[],x=ise(t,!L));continue}if(_.tickmode===\"sync\"){b=[],v=vot(t);continue}var C=sB(u),M=C[0],p=C[1],P=ph(_.dtick),T=n===\"log\"&&!(P||_.dtick.charAt(0)===\"L\"),F=kn.tickFirst(_,r);if(A){if(t._tmin=F,F=p:V<=p;V=kn.tickIncrement(V,G,c,i)){if(A&&H++,_.rangebreaks&&!c){if(V=h)break}if(b.length>d||V===q)break;q=V;var N={value:V};A?(T&&V!==(V|0)&&(N.simpleLabel=!0),a>1&&H%a&&(N.skipLabel=!0),b.push(N)):(N.minor=!0,g.push(N))}}if(!g||g.length<2)l=!1;else{var W=(g[1].value-g[0].value)*(s?-1:1);Oot(W,t.tickformat)||(l=!1)}if(!l)E=b;else{var re=b.concat(g);o&&b.length&&(re=re.slice(1)),re=re.sort(function(Rt,kt){return Rt.value-kt.value}).filter(function(Rt,kt,Ct){return kt===0||Rt.value!==Ct[kt-1].value});var ae=re.map(function(Rt,kt){return Rt.minor===void 0&&!Rt.skipLabel?kt:null}).filter(function(Rt){return Rt!==null});ae.forEach(function(Rt){l.map(function(kt){var Ct=Rt+kt;Ct>=0&&Ct-1;ze--){if(b[ze].drop){b.splice(ze,1);continue}b[ze].value=QO(b[ze].value,t);var ce=t.c2p(b[ze].value);(Ce?Re>ce-me:Reh||Yth&&(Ct.periodX=h),Yti&&hgL)t/=gL,n=i(10),e.dtick=\"M\"+12*_m(t,n,vL);else if(a>R3)t/=R3,e.dtick=\"M\"+_m(t,1,nse);else if(a>Fv){if(e.dtick=_m(t,Fv,e._hasDayOfWeekBreaks?[1,2,7,14]:pot),!r){var o=kn.getTickFormat(e),s=e.ticklabelmode===\"period\";s&&(e._rawTick0=e.tick0),/%[uVW]/.test(o)?e.tick0=Vo.dateTick0(e.calendar,2):e.tick0=Vo.dateTick0(e.calendar,1),s&&(e._dowTick0=e.tick0)}}else a>xm?e.dtick=_m(t,xm,nse):a>tM?e.dtick=_m(t,tM,ase):a>xL?e.dtick=_m(t,xL,ase):(n=i(10),e.dtick=_m(t,n,vL))}else if(e.type===\"log\"){e.tick0=0;var l=Vo.simpleMap(e.range,e.r2l);if(e._isMinor&&(t*=1.5),t>.7)e.dtick=Math.ceil(t);else if(Math.abs(l[1]-l[0])<1){var u=1.5*Math.abs((l[1]-l[0])/t);t=Math.abs(Math.pow(10,l[1])-Math.pow(10,l[0]))/u,n=i(10),e.dtick=\"L\"+_m(t,n,vL)}else e.dtick=t>.3?\"D2\":\"D1\"}else e.type===\"category\"||e.type===\"multicategory\"?(e.tick0=0,e.dtick=Math.ceil(Math.max(t,1))):cB(e)?(e.tick0=0,n=1,e.dtick=_m(t,n,got)):(e.tick0=0,n=i(10),e.dtick=_m(t,n,vL));if(e.dtick===0&&(e.dtick=1),!ph(e.dtick)&&typeof e.dtick!=\"string\"){var c=e.dtick;throw e.dtick=1,\"ax.dtick error: \"+String(c)}};function dse(e){var t=e.dtick;if(e._tickexponent=0,!ph(t)&&typeof t!=\"string\"&&(t=1),(e.type===\"category\"||e.type===\"multicategory\")&&(e._tickround=null),e.type===\"date\"){var r=e.r2l(e.tick0),n=e.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(String(t).charAt(0)===\"M\")i>10||n.substr(5)!==\"01-01\"?e._tickround=\"d\":e._tickround=+t.substr(1)%12===0?\"y\":\"m\";else if(t>=Fv&&i<=10||t>=Fv*15)e._tickround=\"d\";else if(t>=tM&&i<=16||t>=xm)e._tickround=\"M\";else if(t>=xL&&i<=19||t>=tM)e._tickround=\"S\";else{var a=e.l2r(r+t).replace(/^-/,\"\").length;e._tickround=Math.max(i,a)-20,e._tickround<0&&(e._tickround=4)}}else if(ph(t)||t.charAt(0)===\"L\"){var o=e.range.map(e.r2d||Number);ph(t)||(t=Number(t.substr(1))),e._tickround=2-Math.floor(Math.log(t)/Math.LN10+.01);var s=Math.max(Math.abs(o[0]),Math.abs(o[1])),l=Math.floor(Math.log(s)/Math.LN10+.01),u=e.minexponent===void 0?3:e.minexponent;Math.abs(l)>u&&(wL(e.exponentformat)&&!lB(l)?e._tickexponent=3*Math.round((l-1)/3):e._tickexponent=l)}else e._tickround=null}kn.tickIncrement=function(e,t,r,n){var i=r?-1:1;if(ph(t))return Vo.increment(e,i*t);var a=t.charAt(0),o=i*Number(t.substr(1));if(a===\"M\")return Vo.incrementMonth(e,o,n);if(a===\"L\")return Math.log(Math.pow(10,e)+o)/Math.LN10;if(a===\"D\"){var s=t===\"D2\"?hse:fse,l=e+i*.01,u=Vo.roundUp(Vo.mod(l,1),s,r);return Math.floor(l)+Math.log(w0.round(Math.pow(10,u),1))/Math.LN10}throw\"unrecognized dtick \"+String(t)};kn.tickFirst=function(e,t){var r=e.r2l||Number,n=Vo.simpleMap(e.range,r,void 0,void 0,t),i=n[1]=0&&g<=e._length?b:null};if(a&&Vo.isArrayOrTypedArray(e.ticktext)){var f=Vo.simpleMap(e.range,e.r2l),h=(Math.abs(f[1]-f[0])-(e._lBreaks||0))/1e4;for(u=0;u\"+s;else{var u=nM(e),c=e._trueSide||e.side;(!u&&c===\"top\"||u&&c===\"bottom\")&&(o+=\"
\")}t.text=o}function yot(e,t,r,n,i){var a=e.dtick,o=t.x,s=e.tickformat,l=typeof a==\"string\"&&a.charAt(0);if(i===\"never\"&&(i=\"\"),n&&l!==\"L\"&&(a=\"L3\",l=\"L\"),s||l===\"L\")t.text=iM(Math.pow(10,o),e,i,n);else if(ph(a)||l===\"D\"&&Vo.mod(o+.01,1)<.1){var u=Math.round(o),c=Math.abs(u),f=e.exponentformat;f===\"power\"||wL(f)&&lB(u)?(u===0?t.text=1:u===1?t.text=\"10\":t.text=\"10\"+(u>1?\"\":kb)+c+\"\",t.fontSize*=1.25):(f===\"e\"||f===\"E\")&&c>2?t.text=\"1\"+f+(u>0?\"+\":kb)+c:(t.text=iM(Math.pow(10,o),e,\"\",\"fakehover\"),a===\"D1\"&&e._id.charAt(0)===\"y\"&&(t.dy-=t.fontSize/6))}else if(l===\"D\")t.text=String(Math.round(Math.pow(10,Vo.mod(o,1)))),t.fontSize*=.75;else throw\"unrecognized dtick \"+String(a);if(e.dtick===\"D1\"){var h=String(t.text).charAt(0);(h===\"0\"||h===\"1\")&&(e._id.charAt(0)===\"y\"?t.dx-=t.fontSize/4:(t.dy+=t.fontSize/2,t.dx+=(e.range[1]>e.range[0]?1:-1)*t.fontSize*(o<0?.5:.25)))}}function _ot(e,t){var r=e._categories[Math.round(t.x)];r===void 0&&(r=\"\"),t.text=String(r)}function xot(e,t,r){var n=Math.round(t.x),i=e._categories[n]||[],a=i[1]===void 0?\"\":String(i[1]),o=i[0]===void 0?\"\":String(i[0]);r?t.text=o+\" - \"+a:(t.text=a,t.text2=o)}function bot(e,t,r,n,i){i===\"never\"?i=\"\":e.showexponent===\"all\"&&Math.abs(t.x/e.dtick)<1e-6&&(i=\"hide\"),t.text=iM(t.x,e,i,n)}function wot(e,t,r,n,i){if(e.thetaunit===\"radians\"&&!r){var a=t.x/180;if(a===0)t.text=\"0\";else{var o=Tot(a);if(o[1]>=100)t.text=iM(Vo.deg2rad(t.x),e,i,n);else{var s=t.x<0;o[1]===1?o[0]===1?t.text=\"\\u03C0\":t.text=o[0]+\"\\u03C0\":t.text=[\"\",o[0],\"\",\"\\u2044\",\"\",o[1],\"\",\"\\u03C0\"].join(\"\"),s&&(t.text=kb+t.text)}}}else t.text=iM(t.x,e,i,n)}function Tot(e){function t(s,l){return Math.abs(s-l)<=1e-6}function r(s,l){return t(l,0)?s:r(l,s%l)}function n(s){for(var l=1;!t(Math.round(s*l)/l,s);)l*=10;return l}var i=n(e),a=e*i,o=Math.abs(r(a,i));return[Math.round(a/o),Math.round(i/o)]}var Aot=[\"f\",\"p\",\"n\",\"\\u03BC\",\"m\",\"\",\"k\",\"M\",\"G\",\"T\"];function wL(e){return e===\"SI\"||e===\"B\"}function lB(e){return e>14||e<-15}function iM(e,t,r,n){var i=e<0,a=t._tickround,o=r||t.exponentformat||\"B\",s=t._tickexponent,l=kn.getTickFormat(t),u=t.separatethousands;if(n){var c={exponentformat:o,minexponent:t.minexponent,dtick:t.showexponent===\"none\"?t.dtick:ph(e)&&Math.abs(e)||1,range:t.showexponent===\"none\"?t.range.map(t.r2d):[0,e||1]};dse(c),a=(Number(c._tickround)||0)+4,s=c._tickexponent,t.hoverformat&&(l=t.hoverformat)}if(l)return t._numFormat(l)(e).replace(/-/g,kb);var f=Math.pow(10,-a)/2;if(o===\"none\"&&(s=0),e=Math.abs(e),e\"+v+\"\":o===\"B\"&&s===9?e+=\"B\":wL(o)&&(e+=Aot[s/3+5])}return i?kb+e:e}kn.getTickFormat=function(e){var t;function r(l){return typeof l!=\"string\"?l:Number(l.replace(\"M\",\"\"))*R3}function n(l,u){var c=[\"L\",\"D\"];if(typeof l==typeof u){if(typeof l==\"number\")return l-u;var f=c.indexOf(l.charAt(0)),h=c.indexOf(u.charAt(0));return f===h?Number(l.replace(/(L|D)/g,\"\"))-Number(u.replace(/(L|D)/g,\"\")):f-h}else return typeof l==\"number\"?1:-1}function i(l,u,c){var f=c||function(v){return v},h=u[0],d=u[1];return(!h&&typeof h!=\"number\"||f(h)<=f(l))&&(!d&&typeof d!=\"number\"||f(d)>=f(l))}function a(l,u){var c=u[0]===null,f=u[1]===null,h=n(l,u[0])>=0,d=n(l,u[1])<=0;return(c||h)&&(f||d)}var o,s;if(e.tickformatstops&&e.tickformatstops.length>0)switch(e.type){case\"date\":case\"linear\":{for(t=0;t=0&&i.unshift(i.splice(c,1).shift())}});var s={false:{left:0,right:0}};return Vo.syncOrAsync(i.map(function(l){return function(){if(l){var u=kn.getFromId(e,l);r||(r={}),r.axShifts=s,r.overlayingShiftedAx=o;var c=kn.drawOne(e,u,r);return u._shiftPusher&&oB(u,u._fullDepth||0,s,!0),u._r=u.range.slice(),u._rl=Vo.simpleMap(u._r,u.r2l),c}}}))};kn.drawOne=function(e,t,r){r=r||{};var n=r.axShifts||{},i=r.overlayingShiftedAx||[],a,o,s;t.setScale();var l=e._fullLayout,u=t._id,c=u.charAt(0),f=kn.counterLetter(u),h=l._plots[t._mainSubplot];if(!h)return;if(t._shiftPusher=t.autoshift||i.indexOf(t._id)!==-1||i.indexOf(t.overlaying)!==-1,t._shiftPusher&t.anchor===\"free\"){var d=t.linewidth/2||0;t.ticks===\"inside\"&&(d+=t.ticklen),oB(t,d,n,!0),oB(t,t.shift||0,n,!1)}(r.skipTitle!==!0||t._shift===void 0)&&(t._shift=qot(t,n));var v=h[c+\"axislayer\"],x=t._mainLinePosition,b=x+=t._shift,g=t._mainMirrorPosition,E=t._vals=kn.calcTicks(t),k=[t.mirror,b,g].join(\"_\");for(a=0;a0?Ct.bottom-Rt:0,kt))));var Ke=0,xt=0;if(t._shiftPusher&&(Ke=Math.max(kt,Ct.height>0?rt===\"l\"?Rt-Ct.left:Ct.right-Rt:0),t.title.text!==l._dfltTitle[c]&&(xt=(t._titleStandoff||0)+(t._titleScoot||0),rt===\"l\"&&(xt+=sse(t))),t._fullDepth=Math.max(Ke,xt)),t.automargin){Yt={x:0,y:0,r:0,l:0,t:0,b:0};var bt=[0,1],Lt=typeof t._shift==\"number\"?t._shift:0;if(c===\"x\"){if(rt===\"b\"?Yt[rt]=t._depth:(Yt[rt]=t._depth=Math.max(Ct.width>0?Rt-Ct.top:0,kt),bt.reverse()),Ct.width>0){var St=Ct.right-(t._offset+t._length);St>0&&(Yt.xr=1,Yt.r=St);var Et=t._offset-Ct.left;Et>0&&(Yt.xl=0,Yt.l=Et)}}else if(rt===\"l\"?(t._depth=Math.max(Ct.height>0?Rt-Ct.left:0,kt),Yt[rt]=t._depth-Lt):(t._depth=Math.max(Ct.height>0?Ct.right-Rt:0,kt),Yt[rt]=t._depth+Lt,bt.reverse()),Ct.height>0){var dt=Ct.bottom-(t._offset+t._length);dt>0&&(Yt.yb=0,Yt.b=dt);var Ht=t._offset-Ct.top;Ht>0&&(Yt.yt=1,Yt.t=Ht)}Yt[f]=t.anchor===\"free\"?t.position:t._anchorAxis.domain[bt[0]],t.title.text!==l._dfltTitle[c]&&(Yt[rt]+=sse(t)+(t.title.standoff||0)),t.mirror&&t.anchor!==\"free\"&&(xr={x:0,y:0,r:0,l:0,t:0,b:0},xr[ot]=t.linewidth,t.mirror&&t.mirror!==!0&&(xr[ot]+=kt),t.mirror===!0||t.mirror===\"ticks\"?xr[f]=t._anchorAxis.domain[bt[1]]:(t.mirror===\"all\"||t.mirror===\"allticks\")&&(xr[f]=[t._counterDomainMin,t._counterDomainMax][bt[1]]))}qt&&(er=QS.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(e,t)),typeof t.automargin==\"string\"&&(ose(Yt,t.automargin),ose(xr,t.automargin)),P3.autoMargin(e,uB(t),Yt),P3.autoMargin(e,gse(t),xr),P3.autoMargin(e,mse(t),er)}),Vo.syncOrAsync(nt)}};function ose(e,t){if(e){var r=Object.keys(Qoe).reduce(function(n,i){return t.indexOf(i)!==-1&&Qoe[i].forEach(function(a){n[a]=1}),n},{});Object.keys(e).forEach(function(n){r[n]||(n.length===1?e[n]=0:delete e[n])})}}function Sot(e,t){var r=[],n,i=function(a,o){var 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i=n.minor;if(i&&!e.minor)return\"\";var a=n.len!==void 0?n.len:i?e.minor.ticklen:e.ticklen,o=e._id.charAt(0),s=(e.linewidth||1)/2;return o===\"x\"?\"M0,\"+(t+s*r)+\"v\"+a*r:\"M\"+(t+s*r)+\",0h\"+a*r};kn.makeLabelFns=function(e,t,r){var n=e.ticklabelposition||\"\",i=function(F){return n.indexOf(F)!==-1},a=i(\"top\"),o=i(\"left\"),s=i(\"right\"),l=i(\"bottom\"),u=l||o||a||s,c=i(\"inside\"),f=n===\"inside\"&&e.ticks===\"inside\"||!c&&e.ticks===\"outside\"&&e.tickson!==\"boundaries\",h=0,d=0,v=f?e.ticklen:0;if(c?v*=-1:u&&(v=0),f&&(h+=v,r)){var x=Vo.deg2rad(r);h=v*Math.cos(x)+1,d=v*Math.sin(x)}e.showticklabels&&(f||e.showline)&&(h+=.2*e.tickfont.size),h+=(e.linewidth||1)/2*(c?-1:1);var b={labelStandoff:h,labelShift:d},g,E,k,A,L=0,_=e.side,C=e._id.charAt(0),M=e.tickangle,p;if(C===\"x\")p=!c&&_===\"bottom\"||c&&_===\"top\",A=p?1:-1,c&&(A*=-1),g=d*A,E=t+h*A,k=p?1:-.2,Math.abs(M)===90&&(c?k+=$S:M===-90&&_===\"bottom\"?k=Cb:M===90&&_===\"top\"?k=$S:k=.5,L=$S/2*(M/90)),b.xFn=function(F){return 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Db=xa(),Sy=uo(),vle=id(),Rf=Mr(),Tst=Rf.pushUnique,DB=Rf.strTranslate,Ast=Rf.strRotate,Sst=g3(),A0=Ll(),Mst=qse(),bm=ao(),sd=va(),OL=gv(),wm=Qa(),Est=ad().zindexSeparator,U3=ba(),Ag=rp(),zb=IS(),kst=bB(),Cst=RB(),wle=zb.YANGLE,zB=Math.PI*wle/180,Lst=1/Math.sin(zB),Pst=Math.cos(zB),Ist=Math.sin(zB),Bc=zb.HOVERARROWSIZE,Us=zb.HOVERTEXTPAD,ple={box:!0,ohlc:!0,violin:!0,candlestick:!0},Rst={scatter:!0,scattergl:!0,splom:!0};function gle(e,t){return e.distance-t.distance}FB.hover=function(t,r,n,i){t=Rf.getGraphDiv(t);var a=r.target;Rf.throttle(t._fullLayout._uid+zb.HOVERID,zb.HOVERMINTIME,function(){Dst(t,r,n,i,a)})};FB.loneHover=function(t,r){var n=!0;Array.isArray(t)||(n=!1,t=[t]);var i=r.gd,a=Ele(i),o=kle(i),s=t.map(function(b){var g=b._x0||b.x0||b.x||0,E=b._x1||b.x1||b.x||0,k=b._y0||b.y0||b.y||0,A=b._y1||b.y1||b.y||0,L=b.eventData;if(L){var _=Math.min(g,E),C=Math.max(g,E),M=Math.min(k,A),p=Math.max(k,A),P=b.trace;if(U3.traceIs(P,\"gl3d\")){var T=i._fullLayout[P.scene]._scene.container,F=T.offsetLeft,q=T.offsetTop;_+=F,C+=F,M+=q,p+=q}L.bbox={x0:_+o,x1:C+o,y0:M+a,y1:p+a},r.inOut_bbox&&r.inOut_bbox.push(L.bbox)}else L=!1;return{color:b.color||sd.defaultLine,x0:b.x0||b.x||0,x1:b.x1||b.x||0,y0:b.y0||b.y||0,y1:b.y1||b.y||0,xLabel:b.xLabel,yLabel:b.yLabel,zLabel:b.zLabel,text:b.text,name:b.name,idealAlign:b.idealAlign,borderColor:b.borderColor,fontFamily:b.fontFamily,fontSize:b.fontSize,fontColor:b.fontColor,fontWeight:b.fontWeight,fontStyle:b.fontStyle,fontVariant:b.fontVariant,nameLength:b.nameLength,textAlign:b.textAlign,trace:b.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:b.hovertemplate||!1,hovertemplateLabels:b.hovertemplateLabels||!1,eventData:L}}),l=!1,u=Ale(s,{gd:i,hovermode:\"closest\",rotateLabels:l,bgColor:r.bgColor||sd.background,container:Db.select(r.container),outerContainer:r.outerContainer||r.container}),c=u.hoverLabels,f=5,h=0,d=0;c.sort(function(b,g){return b.y0-g.y0}).each(function(b,g){var E=b.y0-b.by/2;E-fC[0]._length||ce<0||ce>M[0]._length)return OL.unhoverRaw(e,t)}if(t.pointerX=Re+C[0]._offset,t.pointerY=ce+M[0]._offset,\"xval\"in t?X=Ag.flat(a,t.xval):X=Ag.p2c(C,Re),\"yval\"in t?G=Ag.flat(a,t.yval):G=Ag.p2c(M,ce),!Sy(X[0])||!Sy(G[0]))return Rf.warn(\"Fx.hover failed\",t,e),OL.unhoverRaw(e,t)}var ct=1/0;function qt(Ni,_n){for(W=0;WEe&&(V.splice(0,Ee),ct=V[0].distance),f&&q!==0&&V.length===0){Te.distance=q,Te.index=!1;var ft=ae._module.hoverPoints(Te,ge,ie,\"closest\",{hoverLayer:s._hoverlayer});if(ft&&(ft=ft.filter(function(Vr){return Vr.spikeDistance<=q})),ft&&ft.length){var jt,Zt=ft.filter(function(Vr){return Vr.xa.showspikes&&Vr.xa.spikesnap!==\"hovered data\"});if(Zt.length){var yr=Zt[0];Sy(yr.x0)&&Sy(yr.y0)&&(jt=ot(yr),(!Ae.vLinePoint||Ae.vLinePoint.spikeDistance>jt.spikeDistance)&&(Ae.vLinePoint=jt))}var Fr=ft.filter(function(Vr){return Vr.ya.showspikes&&Vr.ya.spikesnap!==\"hovered data\"});if(Fr.length){var Zr=Fr[0];Sy(Zr.x0)&&Sy(Zr.y0)&&(jt=ot(Zr),(!Ae.hLinePoint||Ae.hLinePoint.spikeDistance>jt.spikeDistance)&&(Ae.hLinePoint=jt))}}}}}qt();function rt(Ni,_n,$i){for(var zn=null,Wn=1/0,It,ft=0;ft0&&Math.abs(Ni.distance)dt-1;Nr--)Or(V[Nr]);V=fr,Yt()}var ut=e._hoverdata,Ne=[],Ye=Ele(e),Ve=kle(e);for(N=0;N1||V.length>1)||h===\"closest\"&&ze&&V.length>1,ri=sd.combine(s.plot_bgcolor||sd.background,s.paper_bgcolor),bi=Ale(V,{gd:e,hovermode:h,rotateLabels:jr,bgColor:ri,container:s._hoverlayer,outerContainer:s._paper.node(),commonLabelOpts:s.hoverlabel,hoverdistance:s.hoverdistance}),nn=bi.hoverLabels;if(Ag.isUnifiedHover(h)||(Fst(nn,jr,s,bi.commonLabelBoundingBox),Mle(nn,jr,s._invScaleX,s._invScaleY)),i&&i.tagName){var Wi=U3.getComponentMethod(\"annotations\",\"hasClickToShow\")(e,Ne);Mst(Db.select(i),Wi?\"pointer\":\"\")}!i||n||!Bst(e,t,ut)||(ut&&e.emit(\"plotly_unhover\",{event:t,points:ut}),e.emit(\"plotly_hover\",{event:t,points:e._hoverdata,xaxes:C,yaxes:M,xvals:X,yvals:G}))}function Tle(e){return[e.trace.index,e.index,e.x0,e.y0,e.name,e.attr,e.xa?e.xa._id:\"\",e.ya?e.ya._id:\"\"].join(\",\")}var zst=/([\\s\\S]*)<\\/extra>/;function Ale(e,t){var r=t.gd,n=r._fullLayout,i=t.hovermode,a=t.rotateLabels,o=t.bgColor,s=t.container,l=t.outerContainer,u=t.commonLabelOpts||{};if(e.length===0)return[[]];var c=t.fontFamily||zb.HOVERFONT,f=t.fontSize||zb.HOVERFONTSIZE,h=t.fontWeight||n.font.weight,d=t.fontStyle||n.font.style,v=t.fontVariant||n.font.variant,x=t.fontTextcase||n.font.textcase,b=t.fontLineposition||n.font.lineposition,g=t.fontShadow||n.font.shadow,E=e[0],k=E.xa,A=E.ya,L=i.charAt(0),_=L+\"Label\",C=E[_];if(C===void 0&&k.type===\"multicategory\")for(var M=0;Mn.width-ut&&(Ne=n.width-ut),Lt.attr(\"d\",\"M\"+(Br-Ne)+\",0L\"+(Br-Ne+Bc)+\",\"+Nr+Bc+\"H\"+ut+\"v\"+Nr+(Us*2+_r.height)+\"H\"+-ut+\"V\"+Nr+Bc+\"H\"+(Br-Ne-Bc)+\"Z\"),Br=Ne,W.minX=Br-ut,W.maxX=Br+ut,k.side===\"top\"?(W.minY=Or-(Us*2+_r.height),W.maxY=Or-Us):(W.minY=Or+Us,W.maxY=Or+(Us*2+_r.height))}else{var Ye,Ve,Xe;A.side===\"right\"?(Ye=\"start\",Ve=1,Xe=\"\",Br=k._offset+k._length):(Ye=\"end\",Ve=-1,Xe=\"-\",Br=k._offset),Or=A._offset+(E.y0+E.y1)/2,St.attr(\"text-anchor\",Ye),Lt.attr(\"d\",\"M0,0L\"+Xe+Bc+\",\"+Bc+\"V\"+(Us+_r.height/2)+\"h\"+Xe+(Us*2+_r.width)+\"V-\"+(Us+_r.height/2)+\"H\"+Xe+Bc+\"V-\"+Bc+\"Z\"),W.minY=Or-(Us+_r.height/2),W.maxY=Or+(Us+_r.height/2),A.side===\"right\"?(W.minX=Br+Bc,W.maxX=Br+Bc+(Us*2+_r.width)):(W.minX=Br-Bc-(Us*2+_r.width),W.maxX=Br-Bc);var ht=_r.height/2,Le=P-_r.top-ht,xe=\"clip\"+n._uid+\"commonlabel\"+A._id,Se;if(Br<_r.width+2*Us+Bc){Se=\"M-\"+(Bc+Us)+\"-\"+ht+\"h-\"+(_r.width-Us)+\"V\"+ht+\"h\"+(_r.width-Us)+\"Z\";var lt=_r.width-Br+Us;A0.positionText(St,lt,Le),Ye===\"end\"&&St.selectAll(\"tspan\").each(function(){var Vt=Db.select(this),ar=bm.tester.append(\"text\").text(Vt.text()).call(bm.font,fr),Qr=N3(r,ar.node());Math.round(Qr.width)=0?er=kt:Ct+ce=0?er=Ct:Yt+ce=0?Ke=ot:Rt+Ge=0?Ke=Rt:xr+Ge=0,(bt.idealAlign===\"top\"||!Vt)&&ar?(Xe-=Le/2,bt.anchor=\"end\"):Vt?(Xe+=Le/2,bt.anchor=\"start\"):bt.anchor=\"middle\",bt.crossPos=Xe;else{if(bt.pos=Xe,Vt=Ve+ht/2+Gt<=T,ar=Ve-ht/2-Gt>=0,(bt.idealAlign===\"left\"||!Vt)&&ar)Ve-=ht/2,bt.anchor=\"end\";else if(Vt)Ve+=ht/2,bt.anchor=\"start\";else{bt.anchor=\"middle\";var Qr=Gt/2,ai=Ve+Qr-T,jr=Ve-Qr;ai>0&&(Ve-=ai),jr<0&&(Ve+=-jr)}bt.crossPos=Ve}Or.attr(\"text-anchor\",bt.anchor),ut&&Nr.attr(\"text-anchor\",bt.anchor),Lt.attr(\"transform\",DB(Ve,Xe)+(a?Ast(wle):\"\"))}),{hoverLabels:xt,commonLabelBoundingBox:W}}function mle(e,t,r,n,i,a){var o=\"\",s=\"\";e.nameOverride!==void 0&&(e.name=e.nameOverride),e.name&&(e.trace._meta&&(e.name=Rf.templateString(e.name,e.trace._meta)),o=xle(e.name,e.nameLength));var l=r.charAt(0),u=l===\"x\"?\"y\":\"x\";e.zLabel!==void 0?(e.xLabel!==void 0&&(s+=\"x: \"+e.xLabel+\"
\"),e.yLabel!==void 0&&(s+=\"y: \"+e.yLabel+\"
\"),e.trace.type!==\"choropleth\"&&e.trace.type!==\"choroplethmapbox\"&&e.trace.type!==\"choroplethmap\"&&(s+=(s?\"z: \":\"\")+e.zLabel)):t&&e[l+\"Label\"]===i?s=e[u+\"Label\"]||\"\":e.xLabel===void 0?e.yLabel!==void 0&&e.trace.type!==\"scattercarpet\"&&(s=e.yLabel):e.yLabel===void 0?s=e.xLabel:s=\"(\"+e.xLabel+\", \"+e.yLabel+\")\",(e.text||e.text===0)&&!Array.isArray(e.text)&&(s+=(s?\"
\":\"\")+e.text),e.extraText!==void 0&&(s+=(s?\"
\":\"\")+e.extraText),a&&s===\"\"&&!e.hovertemplate&&(o===\"\"&&a.remove(),s=o);var c=e.hovertemplate||!1;if(c){var f=e.hovertemplateLabels||e;e[l+\"Label\"]!==i&&(f[l+\"other\"]=f[l+\"Val\"],f[l+\"otherLabel\"]=f[l+\"Label\"]),s=Rf.hovertemplateString(c,f,n._d3locale,e.eventData[0]||{},e.trace._meta),s=s.replace(zst,function(h,d){return o=xle(d,e.nameLength),\"\"})}return[s,o]}function Fst(e,t,r,n){var i=t?\"xa\":\"ya\",a=t?\"ya\":\"xa\",o=0,s=1,l=e.size(),u=new Array(l),c=0,f=n.minX,h=n.maxX,d=n.minY,v=n.maxY,x=function(X){return X*r._invScaleX},b=function(X){return X*r._invScaleY};e.each(function(X){var G=X[i],N=X[a],W=G._id.charAt(0)===\"x\",re=G.range;c===0&&re&&re[0]>re[1]!==W&&(s=-1);var ae=0,_e=W?r.width:r.height;if(r.hovermode===\"x\"||r.hovermode===\"y\"){var Me=Sle(X,t),ke=X.anchor,ge=ke===\"end\"?-1:1,ie,Te;if(ke===\"middle\")ie=X.crossPos+(W?b(Me.y-X.by/2):x(X.bx/2+X.tx2width/2)),Te=ie+(W?b(X.by):x(X.bx));else if(W)ie=X.crossPos+b(Bc+Me.y)-b(X.by/2-Bc),Te=ie+b(X.by);else{var Ee=x(ge*Bc+Me.x),Ae=Ee+x(ge*X.bx);ie=X.crossPos+Math.min(Ee,Ae),Te=X.crossPos+Math.max(Ee,Ae)}W?d!==void 0&&v!==void 0&&Math.min(Te,v)-Math.max(ie,d)>1&&(N.side===\"left\"?(ae=N._mainLinePosition,_e=r.width):_e=N._mainLinePosition):f!==void 0&&h!==void 0&&Math.min(Te,h)-Math.max(ie,f)>1&&(N.side===\"top\"?(ae=N._mainLinePosition,_e=r.height):_e=N._mainLinePosition)}u[c++]=[{datum:X,traceIndex:X.trace.index,dp:0,pos:X.pos,posref:X.posref,size:X.by*(W?Lst:1)/2,pmin:ae,pmax:_e}]}),u.sort(function(X,G){return X[0].posref-G[0].posref||s*(G[0].traceIndex-X[0].traceIndex)});var g,E,k,A,L,_,C;function M(X){var G=X[0],N=X[X.length-1];if(E=G.pmin-G.pos-G.dp+G.size,k=N.pos+N.dp+N.size-G.pmax,E>.01){for(L=X.length-1;L>=0;L--)X[L].dp+=E;g=!1}if(!(k<.01)){if(E<-.01){for(L=X.length-1;L>=0;L--)X[L].dp-=k;g=!1}if(g){var W=0;for(A=0;AG.pmax&&W++;for(A=X.length-1;A>=0&&!(W<=0);A--)_=X[A],_.pos>G.pmax-1&&(_.del=!0,W--);for(A=0;A=0;L--)X[L].dp-=k;for(A=X.length-1;A>=0&&!(W<=0);A--)_=X[A],_.pos+_.dp+_.size>G.pmax&&(_.del=!0,W--)}}}for(;!g&&o<=l;){for(o++,g=!0,A=0;A.01){for(L=P.length-1;L>=0;L--)P[L].dp+=E;for(p.push.apply(p,P),u.splice(A+1,1),C=0,L=p.length-1;L>=0;L--)C+=p[L].dp;for(k=C/p.length,L=p.length-1;L>=0;L--)p[L].dp-=k;g=!1}else A++}u.forEach(M)}for(A=u.length-1;A>=0;A--){var q=u[A];for(L=q.length-1;L>=0;L--){var V=q[L],H=V.datum;H.offset=V.dp,H.del=V.del}}}function Sle(e,t){var r=0,n=e.offset;return t&&(n*=-Ist,r=e.offset*Pst),{x:r,y:n}}function qst(e){var t={start:1,end:-1,middle:0}[e.anchor],r=t*(Bc+Us),n=r+t*(e.txwidth+Us),i=e.anchor===\"middle\";return i&&(r-=e.tx2width/2,n+=e.txwidth/2+Us),{alignShift:t,textShiftX:r,text2ShiftX:n}}function Mle(e,t,r,n){var i=function(o){return o*r},a=function(o){return o*n};e.each(function(o){var s=Db.select(this);if(o.del)return s.remove();var l=s.select(\"text.nums\"),u=o.anchor,c=u===\"end\"?-1:1,f=qst(o),h=Sle(o,t),d=h.x,v=h.y,x=u===\"middle\";s.select(\"path\").attr(\"d\",x?\"M-\"+i(o.bx/2+o.tx2width/2)+\",\"+a(v-o.by/2)+\"h\"+i(o.bx)+\"v\"+a(o.by)+\"h-\"+i(o.bx)+\"Z\":\"M0,0L\"+i(c*Bc+d)+\",\"+a(Bc+v)+\"v\"+a(o.by/2-Bc)+\"h\"+i(c*o.bx)+\"v-\"+a(o.by)+\"H\"+i(c*Bc+d)+\"V\"+a(v-Bc)+\"Z\");var b=d+f.textShiftX,g=v+o.ty0-o.by/2+Us,E=o.textAlign||\"auto\";E!==\"auto\"&&(E===\"left\"&&u!==\"start\"?(l.attr(\"text-anchor\",\"start\"),b=x?-o.bx/2-o.tx2width/2+Us:-o.bx-Us):E===\"right\"&&u!==\"end\"&&(l.attr(\"text-anchor\",\"end\"),b=x?o.bx/2-o.tx2width/2-Us:o.bx+Us)),l.call(A0.positionText,i(b),a(g)),o.tx2width&&(s.select(\"text.name\").call(A0.positionText,i(f.text2ShiftX+f.alignShift*Us+d),a(v+o.ty0-o.by/2+Us)),s.select(\"rect\").call(bm.setRect,i(f.text2ShiftX+(f.alignShift-1)*o.tx2width/2+d),a(v-o.by/2-1),i(o.tx2width),a(o.by+2)))})}function Ost(e,t){var r=e.index,n=e.trace||{},i=e.cd[0],a=e.cd[r]||{};function o(h){return h||Sy(h)&&h===0}var s=Array.isArray(r)?function(h,d){var v=Rf.castOption(i,r,h);return o(v)?v:Rf.extractOption({},n,\"\",d)}:function(h,d){return Rf.extractOption(a,n,h,d)};function l(h,d,v){var x=s(d,v);o(x)&&(e[h]=x)}if(l(\"hoverinfo\",\"hi\",\"hoverinfo\"),l(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),l(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),l(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),l(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),l(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),l(\"fontWeight\",\"htw\",\"hoverlabel.font.weight\"),l(\"fontStyle\",\"hty\",\"hoverlabel.font.style\"),l(\"fontVariant\",\"htv\",\"hoverlabel.font.variant\"),l(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),l(\"textAlign\",\"hta\",\"hoverlabel.align\"),e.posref=t===\"y\"||t===\"closest\"&&n.orientation===\"h\"?e.xa._offset+(e.x0+e.x1)/2:e.ya._offset+(e.y0+e.y1)/2,e.x0=Rf.constrain(e.x0,0,e.xa._length),e.x1=Rf.constrain(e.x1,0,e.xa._length),e.y0=Rf.constrain(e.y0,0,e.ya._length),e.y1=Rf.constrain(e.y1,0,e.ya._length),e.xLabelVal!==void 0&&(e.xLabel=\"xLabel\"in e?e.xLabel:wm.hoverLabelText(e.xa,e.xLabelVal,n.xhoverformat),e.xVal=e.xa.c2d(e.xLabelVal)),e.yLabelVal!==void 0&&(e.yLabel=\"yLabel\"in e?e.yLabel:wm.hoverLabelText(e.ya,e.yLabelVal,n.yhoverformat),e.yVal=e.ya.c2d(e.yLabelVal)),e.zLabelVal!==void 0&&e.zLabel===void 0&&(e.zLabel=String(e.zLabelVal)),!isNaN(e.xerr)&&!(e.xa.type===\"log\"&&e.xerr<=0)){var u=wm.tickText(e.xa,e.xa.c2l(e.xerr),\"hover\").text;e.xerrneg!==void 0?e.xLabel+=\" +\"+u+\" / -\"+wm.tickText(e.xa,e.xa.c2l(e.xerrneg),\"hover\").text:e.xLabel+=\" \\xB1 \"+u,t===\"x\"&&(e.distance+=1)}if(!isNaN(e.yerr)&&!(e.ya.type===\"log\"&&e.yerr<=0)){var c=wm.tickText(e.ya,e.ya.c2l(e.yerr),\"hover\").text;e.yerrneg!==void 0?e.yLabel+=\" +\"+c+\" / -\"+wm.tickText(e.ya,e.ya.c2l(e.yerrneg),\"hover\").text:e.yLabel+=\" \\xB1 \"+c,t===\"y\"&&(e.distance+=1)}var f=e.hoverinfo||e.trace.hoverinfo;return f&&f!==\"all\"&&(f=Array.isArray(f)?f:f.split(\"+\"),f.indexOf(\"x\")===-1&&(e.xLabel=void 0),f.indexOf(\"y\")===-1&&(e.yLabel=void 0),f.indexOf(\"z\")===-1&&(e.zLabel=void 0),f.indexOf(\"text\")===-1&&(e.text=void 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kt=ot.xref,Ct=ot.yref,Yt=j3.getFromId(Rt,kt),xr=j3.getFromId(Rt,Ct),er=\"\";kt!==\"paper\"&&!Yt.autorange&&(er+=kt),Ct!==\"paper\"&&!xr.autorange&&(er+=Ct),YB.setClipUrl(rt,er?\"clip\"+Rt._fullLayout._uid+er:null,Rt)}}function kue(e,t,r){return e.replace(qb.segmentRE,function(n){var i=0,a=n.charAt(0),o=qb.paramIsX[a],s=qb.paramIsY[a],l=qb.numParams[a],u=n.substr(1).replace(qb.paramRE,function(c){return i>=l||(o[i]?c=t(c):s[i]&&(c=r(c)),i++),c});return a+u})}function out(e,t){if(eP(e)){var r=t.node(),n=+r.getAttribute(\"data-index\");if(n>=0){if(n===e._fullLayout._activeShapeIndex){Cue(e);return}e._fullLayout._activeShapeIndex=n,e._fullLayout._deactivateShape=Cue,KB(e)}}}function Cue(e){if(eP(e)){var t=e._fullLayout._activeShapeIndex;t>=0&&(Pue(e),delete e._fullLayout._activeShapeIndex,KB(e))}}function sut(e){if(eP(e)){Pue(e);var t=e._fullLayout._activeShapeIndex,r=(e.layout||{}).shapes||[];if(t{\"use strict\";var S0=ba(),zue=Xu(),Fue=af(),al=NL(),lut=tP().eraseActiveShape,rP=Mr(),Os=rP._,ol=Hue.exports={};ol.toImage={name:\"toImage\",title:function(e){var t=e._context.toImageButtonOptions||{},r=t.format||\"png\";return r===\"png\"?Os(e,\"Download plot as a png\"):Os(e,\"Download plot\")},icon:al.camera,click:function(e){var t=e._context.toImageButtonOptions,r={format:t.format||\"png\"};rP.notifier(Os(e,\"Taking snapshot - this may take a few seconds\"),\"long\"),[\"filename\",\"width\",\"height\",\"scale\"].forEach(function(n){n in t&&(r[n]=t[n])}),S0.call(\"downloadImage\",e,r).then(function(n){rP.notifier(Os(e,\"Snapshot succeeded\")+\" - \"+n,\"long\")}).catch(function(){rP.notifier(Os(e,\"Sorry, there was a problem downloading your snapshot!\"),\"long\")})}};ol.sendDataToCloud={name:\"sendDataToCloud\",title:function(e){return Os(e,\"Edit in Chart Studio\")},icon:al.disk,click:function(e){zue.sendDataToCloud(e)}};ol.editInChartStudio={name:\"editInChartStudio\",title:function(e){return Os(e,\"Edit in Chart Studio\")},icon:al.pencil,click:function(e){zue.sendDataToCloud(e)}};ol.zoom2d={name:\"zoom2d\",_cat:\"zoom\",title:function(e){return Os(e,\"Zoom\")},attr:\"dragmode\",val:\"zoom\",icon:al.zoombox,click:Ov};ol.pan2d={name:\"pan2d\",_cat:\"pan\",title:function(e){return Os(e,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:al.pan,click:Ov};ol.select2d={name:\"select2d\",_cat:\"select\",title:function(e){return Os(e,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:al.selectbox,click:Ov};ol.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(e){return Os(e,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:al.lasso,click:Ov};ol.drawclosedpath={name:\"drawclosedpath\",title:function(e){return Os(e,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:al.drawclosedpath,click:Ov};ol.drawopenpath={name:\"drawopenpath\",title:function(e){return Os(e,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:al.drawopenpath,click:Ov};ol.drawline={name:\"drawline\",title:function(e){return Os(e,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:al.drawline,click:Ov};ol.drawrect={name:\"drawrect\",title:function(e){return Os(e,\"Draw rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:al.drawrect,click:Ov};ol.drawcircle={name:\"drawcircle\",title:function(e){return Os(e,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:al.drawcircle,click:Ov};ol.eraseshape={name:\"eraseshape\",title:function(e){return Os(e,\"Erase active shape\")},icon:al.eraseshape,click:lut};ol.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(e){return Os(e,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:al.zoom_plus,click:Ov};ol.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(e){return Os(e,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:al.zoom_minus,click:Ov};ol.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(e){return Os(e,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:al.autoscale,click:Ov};ol.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(e){return Os(e,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:al.home,click:Ov};ol.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(e){return Os(e,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:al.tooltip_basic,gravity:\"ne\",click:Ov};ol.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(e){return Os(e,\"Compare data on hover\")},attr:\"hovermode\",val:function(e){return e._fullLayout._isHoriz?\"y\":\"x\"},icon:al.tooltip_compare,gravity:\"ne\",click:Ov};function Ov(e,t){var r=t.currentTarget,n=r.getAttribute(\"data-attr\"),i=r.getAttribute(\"data-val\")||!0,a=e._fullLayout,o={},s=Fue.list(e,null,!0),l=a._cartesianSpikesEnabled,u,c;if(n===\"zoom\"){var f=i===\"in\"?.5:2,h=(1+f)/2,d=(1-f)/2,v;for(c=0;c{\"use strict\";var Gue=QB(),fut=Object.keys(Gue),jue=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],Wue=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(jue),Z3=[],hut=function(e){if(Wue.indexOf(e._cat||e.name)===-1){var t=e.name,r=(e._cat||e.name).toLowerCase();Z3.indexOf(t)===-1&&Z3.push(t),Z3.indexOf(r)===-1&&Z3.push(r)}};fut.forEach(function(e){hut(Gue[e])});Z3.sort();Zue.exports={DRAW_MODES:jue,backButtons:Wue,foreButtons:Z3}});var tN=ye((lir,Xue)=>{\"use strict\";var sir=eN();Xue.exports={editType:\"modebar\",orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\",editType:\"modebar\"},bgcolor:{valType:\"color\",editType:\"modebar\"},color:{valType:\"color\",editType:\"modebar\"},activecolor:{valType:\"color\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},add:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"},remove:{valType:\"string\",arrayOk:!0,dflt:\"\",editType:\"modebar\"}}});var Kue=ye((uir,Yue)=>{\"use strict\";var dut=Mr(),hM=va(),vut=Vs(),put=tN();Yue.exports=function(t,r){var n=t.modebar||{},i=vut.newContainer(r,\"modebar\");function a(s,l){return dut.coerce(n,i,put,s,l)}a(\"orientation\"),a(\"bgcolor\",hM.addOpacity(r.paper_bgcolor,.5));var o=hM.contrast(hM.rgb(r.modebar.bgcolor));a(\"color\",hM.addOpacity(o,.3)),a(\"activecolor\",hM.addOpacity(o,.7)),a(\"uirevision\",r.uirevision),a(\"add\"),a(\"remove\")}});var ece=ye((cir,Que)=>{\"use strict\";var rN=xa(),gut=uo(),nP=Mr(),Jue=NL(),mut=QC().version,yut=new DOMParser;function $ue(e){this.container=e.container,this.element=document.createElement(\"div\"),this.update(e.graphInfo,e.buttons),this.container.appendChild(this.element)}var Tm=$ue.prototype;Tm.update=function(e,t){this.graphInfo=e;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",r.displayModeBar===\"hover\"&&(this.element.className+=\" modebar--hover ease-bg\"),n.modebar.orientation===\"v\"&&(this.element.className+=\" vertical\",t=t.reverse());var a=n.modebar,o=\"#\"+i+\" .modebar-group\";document.querySelectorAll(o).forEach(function(f){f.style.backgroundColor=a.bgcolor});var s=!this.hasButtons(t),l=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(s||l||u)&&(this.removeAllButtons(),this.updateButtons(t),r.watermark||r.displaylogo)){var c=this.getLogo();r.watermark&&(c.className=c.className+\" watermark\"),n.modebar.orientation===\"v\"?this.element.insertBefore(c,this.element.childNodes[0]):this.element.appendChild(c),this.hasLogo=!0}this.updateActiveButton(),nP.setStyleOnHover(\"#\"+i+\" .modebar-btn\",\".active\",\".icon path\",\"fill: \"+a.activecolor,\"fill: \"+a.color,this.element)};Tm.updateButtons=function(e){var t=this;this.buttons=e,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach(function(r){var n=t.createGroup();r.forEach(function(i){var a=i.name;if(!a)throw new Error(\"must provide button 'name' in button config\");if(t.buttonsNames.indexOf(a)!==-1)throw new Error(\"button name '\"+a+\"' is taken\");t.buttonsNames.push(a);var o=t.createButton(i);t.buttonElements.push(o),n.appendChild(o)}),t.element.appendChild(n)})};Tm.createGroup=function(){var e=document.createElement(\"div\");e.className=\"modebar-group\";var t=this.graphInfo._fullLayout.modebar;return e.style.backgroundColor=t.bgcolor,e};Tm.createButton=function(e){var t=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var n=e.title;n===void 0?n=e.name:typeof n==\"function\"&&(n=n(this.graphInfo)),(n||n===0)&&r.setAttribute(\"data-title\",n),e.attr!==void 0&&r.setAttribute(\"data-attr\",e.attr);var i=e.val;i!==void 0&&(typeof i==\"function\"&&(i=i(this.graphInfo)),r.setAttribute(\"data-val\",i));var a=e.click;if(typeof a!=\"function\")throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",function(s){e.click(t.graphInfo,s),t.updateActiveButton(s.currentTarget)}),r.setAttribute(\"data-toggle\",e.toggle||!1),e.toggle&&rN.select(r).classed(\"active\",!0);var o=e.icon;return typeof o==\"function\"?r.appendChild(o()):r.appendChild(this.createIcon(o||Jue.question)),r.setAttribute(\"data-gravity\",e.gravity||\"n\"),r};Tm.createIcon=function(e){var t=gut(e.height)?Number(e.height):e.ascent-e.descent,r=\"http://www.w3.org/2000/svg\",n;if(e.path){n=document.createElementNS(r,\"svg\"),n.setAttribute(\"viewBox\",[0,0,e.width,t].join(\" \")),n.setAttribute(\"class\",\"icon\");var i=document.createElementNS(r,\"path\");i.setAttribute(\"d\",e.path),e.transform?i.setAttribute(\"transform\",e.transform):e.ascent!==void 0&&i.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+e.ascent+\")\"),n.appendChild(i)}if(e.svg){var a=yut.parseFromString(e.svg,\"application/xml\");n=a.childNodes[0]}return n.setAttribute(\"height\",\"1em\"),n.setAttribute(\"width\",\"1em\"),n};Tm.updateActiveButton=function(e){var t=this.graphInfo._fullLayout,r=e!==void 0?e.getAttribute(\"data-attr\"):null;this.buttonElements.forEach(function(n){var i=n.getAttribute(\"data-val\")||!0,a=n.getAttribute(\"data-attr\"),o=n.getAttribute(\"data-toggle\")===\"true\",s=rN.select(n),l=function(f,h){var d=t.modebar,v=f.querySelector(\".icon path\");v&&(h||f.matches(\":hover\")?v.style.fill=d.activecolor:v.style.fill=d.color)};if(o){if(a===r){var u=!s.classed(\"active\");s.classed(\"active\",u),l(n,u)}}else{var c=a===null?a:nP.nestedProperty(t,a).get();s.classed(\"active\",c===i),l(n,c===i)}})};Tm.hasButtons=function(e){var t=this.buttons;if(!t||e.length!==t.length)return!1;for(var r=0;r{\"use strict\";var but=af(),tce=lu(),iN=ba(),wut=rp().isUnifiedHover,Tut=ece(),aP=QB(),Aut=eN().DRAW_MODES,Sut=Mr().extendDeep;rce.exports=function(t){var r=t._fullLayout,n=t._context,i=r._modeBar;if(!n.displayModeBar&&!n.watermark){i&&(i.destroy(),delete r._modeBar);return}if(!Array.isArray(n.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(n.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var a=n.modeBarButtons,o;Array.isArray(a)&&a.length?o=Put(a):!n.displayModeBar&&n.watermark?o=[]:o=Mut(t),i?i.update(t,o):r._modeBar=Tut(t,o)};function Mut(e){var t=e._fullLayout,r=e._fullData,n=e._context;function i(N,W){if(typeof W==\"string\"){if(W.toLowerCase()===N.toLowerCase())return!0}else{var re=W.name,ae=W._cat||W.name;if(re===N||ae===N.toLowerCase())return!0}return!1}var a=t.modebar.add;typeof a==\"string\"&&(a=[a]);var o=t.modebar.remove;typeof o==\"string\"&&(o=[o]);var s=n.modeBarButtonsToAdd.concat(a.filter(function(N){for(var W=0;W1?(P=[\"toggleHover\"],T=[\"resetViews\"]):f?(p=[\"zoomInGeo\",\"zoomOutGeo\"],P=[\"hoverClosestGeo\"],T=[\"resetGeo\"]):c?(P=[\"hoverClosest3d\"],T=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):x?(p=[\"zoomInMapbox\",\"zoomOutMapbox\"],P=[\"toggleHover\"],T=[\"resetViewMapbox\"]):b?(p=[\"zoomInMap\",\"zoomOutMap\"],P=[\"toggleHover\"],T=[\"resetViewMap\"]):h?P=[\"hoverClosestPie\"]:k?(P=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],T=[\"resetViewSankey\"]):P=[\"toggleHover\"],u&&P.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(Cut(r)||L)&&(P=[]),u&&!A&&(p=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],T[0]!==\"resetViews\"&&(T=[\"resetScale2d\"])),c?F=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:u&&!A||v?F=[\"zoom2d\",\"pan2d\"]:x||b||f?F=[\"pan2d\"]:g&&(F=[\"zoom2d\"]),kut(r)&&F.push(\"select2d\",\"lasso2d\");var q=[],V=function(N){q.indexOf(N)===-1&&P.indexOf(N)!==-1&&q.push(N)};if(Array.isArray(s)){for(var H=[],X=0;X{\"use strict\";nce.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:tN(),supplyLayoutDefaults:Kue(),manage:ice()}});var aN=ye((dir,ace)=>{\"use strict\";var Iut=Nh().FROM_BL;ace.exports=function(t,r,n){n===void 0&&(n=Iut[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*n;t.range=t._input.range=[t.l2r(a+(i[0]-a)*r),t.l2r(a+(i[1]-a)*r)],t.setScale()}});var Bb=ye(dM=>{\"use strict\";var Ob=Mr(),oN=wg(),Mg=af().id2name,Rut=Cd(),oce=aN(),Dut=ym(),zut=es().ALMOST_EQUAL,Fut=Nh().FROM_BL;dM.handleDefaults=function(e,t,r){var n=r.axIds,i=r.axHasImage,a=t._axisConstraintGroups=[],o=t._axisMatchGroups=[],s,l,u,c,f,h,d,v;for(s=0;sa?r.substr(a):n.substr(i))+o}function Out(e,t){for(var r=t._size,n=r.h/r.w,i={},a=Object.keys(e),o=0;ozut*v&&!E)){for(a=0;aF&&reP&&(P=re);var _e=(P-p)/(2*T);f/=_e,p=l.l2r(p),P=l.l2r(P),l.range=l._input.range=_{\"use strict\";var sP=xa(),Bv=ba(),Jp=Xu(),M0=Mr(),uN=Ll(),cN=lM(),vM=va(),X3=ao(),cce=Mb(),pce=nN(),pM=Qa(),ky=Nh(),gce=Bb(),But=gce.enforce,Nut=gce.clean,fce=wg().doAutoRange,mce=\"start\",Uut=\"middle\",yce=\"end\",Vut=ad().zindexSeparator;ld.layoutStyles=function(e){return M0.syncOrAsync([Jp.doAutoMargin,Gut],e)};function Hut(e,t,r){for(var n=0;n=e[1]||i[1]<=e[0])&&a[0]t[0])return!0}return!1}function Gut(e){var t=e._fullLayout,r=t._size,n=r.p,i=pM.list(e,\"\",!0),a,o,s,l,u,c;if(t._paperdiv.style({width:e._context.responsive&&t.autosize&&!e._context._hasZeroWidth&&!e.layout.width?\"100%\":t.width+\"px\",height:e._context.responsive&&t.autosize&&!e._context._hasZeroHeight&&!e.layout.height?\"100%\":t.height+\"px\"}).selectAll(\".main-svg\").call(X3.setSize,t.width,t.height),e._context.setBackground(e,t.paper_bgcolor),ld.drawMainTitle(e),pce.manage(e),!t._has(\"cartesian\"))return Jp.previousPromises(e);function f(Ce,me,Re){var ce=Ce._lw/2;if(Ce._id.charAt(0)===\"x\"){if(me){if(Re===\"top\")return me._offset-n-ce}else return r.t+r.h*(1-(Ce.position||0))+ce%1;return me._offset+me._length+n+ce}if(me){if(Re===\"right\")return me._offset+me._length+n+ce}else return r.l+r.w*(Ce.position||0)+ce%1;return me._offset-n-ce}for(a=0;a0){Xut(e,a,u,l),s.attr({x:o,y:a,\"text-anchor\":n,dy:vce(t.yanchor)}).call(uN.positionText,o,a);var c=(t.text.match(uN.BR_TAG_ALL)||[]).length;if(c){var f=ky.LINE_SPACING*c+ky.MID_SHIFT;t.y===0&&(f=-f),s.selectAll(\".line\").each(function(){var b=+this.getAttribute(\"dy\").slice(0,-2)-f+\"em\";this.setAttribute(\"dy\",b)})}var h=sP.selectAll(\".gtitle-subtitle\");if(h.node()){var d=s.node().getBBox(),v=d.y+d.height,x=v+cce.SUBTITLE_PADDING_EM*t.subtitle.font.size;h.attr({x:o,y:x,\"text-anchor\":n,dy:vce(t.yanchor)}).call(uN.positionText,o,x)}}}};function jut(e,t,r,n,i){var a=t.yref===\"paper\"?e._fullLayout._size.h:e._fullLayout.height,o=M0.isTopAnchor(t)?n:n-i,s=r===\"b\"?a-o:o;return M0.isTopAnchor(t)&&r===\"t\"||M0.isBottomAnchor(t)&&r===\"b\"?!1:s.5?\"t\":\"b\",o=e._fullLayout.margin[a],s=0;return t.yref===\"paper\"?s=r+t.pad.t+t.pad.b:t.yref===\"container\"&&(s=Wut(a,n,i,e._fullLayout.height,r)+t.pad.t+t.pad.b),s>o?s:0}function Xut(e,t,r,n){var i=\"title.automargin\",a=e._fullLayout.title,o=a.y>.5?\"t\":\"b\",s={x:a.x,y:a.y,t:0,b:0},l={};a.yref===\"paper\"&&jut(e,a,o,t,n)?s[o]=r:a.yref===\"container\"&&(l[o]=r,e._fullLayout._reservedMargin[i]=l),Jp.allowAutoMargin(e,i),Jp.autoMargin(e,i,s)}function Yut(e,t){var r=e.title,n=e._size,i=0;switch(t===mce?i=r.pad.l:t===yce&&(i=-r.pad.r),r.xref){case\"paper\":return n.l+n.w*r.x+i;case\"container\":default:return e.width*r.x+i}}function Kut(e,t){var r=e.title,n=e._size,i=0;if(t===\"0em\"||!t?i=-r.pad.b:t===ky.CAP_SHIFT+\"em\"&&(i=r.pad.t),r.y===\"auto\")return n.t/2;switch(r.yref){case\"paper\":return n.t+n.h-n.h*r.y+i;case\"container\":default:return e.height-e.height*r.y+i}}function vce(e){return 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l=n(\"categoryorder\",s),u;l===\"array\"&&(u=n(\"categoryarray\")),!o&&l===\"array\"&&(l=r.categoryorder=\"trace\"),l===\"trace\"?r._initialCategories=[]:l===\"array\"?r._initialCategories=u.slice():(u=pvt(r,i).sort(),l===\"category ascending\"?r._initialCategories=u:l===\"category descending\"&&(r._initialCategories=u.reverse()))}}});var YM=ye((Bnr,kve)=>{\"use strict\";var Eve=id().mix,gvt=dh(),mvt=Mr();kve.exports=function(t,r,n,i){i=i||{};var a=i.dfltColor;function o(C,M){return mvt.coerce2(t,r,i.attributes,C,M)}var s=o(\"linecolor\",a),l=o(\"linewidth\"),u=n(\"showline\",i.showLine||!!s||!!l);u||(delete r.linecolor,delete r.linewidth);var c=Eve(a,i.bgColor,i.blend||gvt.lightFraction).toRgbString(),f=o(\"gridcolor\",c),h=o(\"gridwidth\"),d=o(\"griddash\"),v=n(\"showgrid\",i.showGrid||!!f||!!h||!!d);if(v||(delete r.gridcolor,delete r.gridwidth,delete r.griddash),i.hasMinor){var x=Eve(r.gridcolor,i.bgColor,67).toRgbString(),b=o(\"minor.gridcolor\",x),g=o(\"minor.gridwidth\",r.gridwidth||1),E=o(\"minor.griddash\",r.griddash||\"solid\"),k=n(\"minor.showgrid\",!!b||!!g||!!E);k||(delete r.minor.gridcolor,delete r.minor.gridwidth,delete r.minor.griddash)}if(!i.noZeroLine){var A=o(\"zerolinecolor\",a),L=o(\"zerolinewidth\"),_=n(\"zeroline\",i.showGrid||!!A||!!L);_||(delete r.zerolinecolor,delete r.zerolinewidth)}}});var JM=ye((Nnr,Dve)=>{\"use strict\";var Cve=uo(),yvt=ba(),KM=Mr(),_vt=Vs(),xvt=Zd(),_U=Cd(),Lve=xb(),Pve=T3(),bvt=e_(),wvt=t_(),Tvt=QP(),Avt=YM(),Svt=hB(),Ive=ym(),eI=ad().WEEKDAY_PATTERN,Mvt=ad().HOUR_PATTERN;Dve.exports=function(t,r,n,i,a){var o=i.letter,s=i.font||{},l=i.splomStash||{},u=n(\"visible\",!i.visibleDflt),c=r._template||{},f=r.type||c.type||\"-\",h;if(f===\"date\"){var d=yvt.getComponentMethod(\"calendars\",\"handleDefaults\");d(t,r,\"calendar\",i.calendar),i.noTicklabelmode||(h=n(\"ticklabelmode\"))}!i.noTicklabelindex&&(f===\"date\"||f===\"linear\")&&n(\"ticklabelindex\");var v=\"\";(!i.noTicklabelposition||f===\"multicategory\")&&(v=KM.coerce(t,r,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:h===\"period\"?[\"outside\",\"inside\"]:o===\"x\"?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),i.noTicklabeloverflow||n(\"ticklabeloverflow\",v.indexOf(\"inside\")!==-1?\"hide past domain\":f===\"category\"||f===\"multicategory\"?\"allow\":\"hide past div\"),Ive(r,a),Svt(t,r,n,i),Tvt(t,r,n,i),f!==\"category\"&&!i.noHover&&n(\"hoverformat\");var x=n(\"color\"),b=x!==_U.color.dflt?x:s.color,g=l.label||a._dfltTitle[o];if(wvt(t,r,n,f,i),!u)return r;n(\"title.text\",g),KM.coerceFont(n,\"title.font\",s,{overrideDflt:{size:KM.bigFont(s.size),color:b}}),Lve(t,r,n,f);var E=i.hasMinor;if(E&&(_vt.newContainer(r,\"minor\"),Lve(t,r,n,f,{isMinor:!0})),bvt(t,r,n,f,i),Pve(t,r,n,i),E){var k=i.isMinor;i.isMinor=!0,Pve(t,r,n,i),i.isMinor=k}Avt(t,r,n,{dfltColor:x,bgColor:i.bgColor,showGrid:i.showGrid,hasMinor:E,attributes:_U}),E&&!r.minor.ticks&&!r.minor.showgrid&&delete r.minor,(r.showline||r.ticks)&&n(\"mirror\");var A=f===\"multicategory\";if(!i.noTickson&&(f===\"category\"||A)&&(r.ticks||r.showgrid)){var L;A&&(L=\"boundaries\");var _=n(\"tickson\",L);_===\"boundaries\"&&delete r.ticklabelposition}if(A){var C=n(\"showdividers\");C&&(n(\"dividercolor\"),n(\"dividerwidth\"))}if(f===\"date\")if(xvt(t,r,{name:\"rangebreaks\",inclusionAttr:\"enabled\",handleItemDefaults:Evt}),!r.rangebreaks.length)delete r.rangebreaks;else{for(var M=0;M=2){var o=\"\",s,l;if(a.length===2){for(s=0;s<2;s++)if(l=Rve(a[s]),l){o=eI;break}}var u=n(\"pattern\",o);if(u===eI)for(s=0;s<2;s++)l=Rve(a[s]),l&&(t.bounds[s]=a[s]=l-1);if(u)for(s=0;s<2;s++)switch(l=a[s],u){case eI:if(!Cve(l)){t.enabled=!1;return}if(l=+l,l!==Math.floor(l)||l<0||l>=7){t.enabled=!1;return}t.bounds[s]=a[s]=l;break;case Mvt:if(!Cve(l)){t.enabled=!1;return}if(l=+l,l<0||l>24){t.enabled=!1;return}t.bounds[s]=a[s]=l;break}if(r.autorange===!1){var c=r.range;if(c[0]c[1]){t.enabled=!1;return}}else if(a[0]>c[0]&&a[1]{\"use strict\";var Cvt=uo(),tI=Mr();zve.exports=function(t,r,n,i){var a=i.counterAxes||[],o=i.overlayableAxes||[],s=i.letter,l=i.grid,u=i.overlayingDomain,c,f,h,d,v,x;l&&(f=l._domains[s][l._axisMap[r._id]],c=l._anchors[r._id],f&&(h=l[s+\"side\"].split(\" \")[0],d=l.domain[s][h===\"right\"||h===\"top\"?1:0])),f=f||[0,1],c=c||(Cvt(t.position)?\"free\":a[0]||\"free\"),h=h||(s===\"x\"?\"bottom\":\"left\"),d=d||0,v=0,x=!1;var b=tI.coerce(t,r,{anchor:{valType:\"enumerated\",values:[\"free\"].concat(a),dflt:c}},\"anchor\"),g=tI.coerce(t,r,{side:{valType:\"enumerated\",values:s===\"x\"?[\"bottom\",\"top\"]:[\"left\",\"right\"],dflt:h}},\"side\");if(b===\"free\"){if(s===\"y\"){var E=n(\"autoshift\");E&&(d=g===\"left\"?u[0]:u[1],x=r.automargin?r.automargin:!0,v=g===\"left\"?-3:3),n(\"shift\",v)}n(\"position\",d)}n(\"automargin\",x);var k=!1;if(o.length&&(k=tI.coerce(t,r,{overlaying:{valType:\"enumerated\",values:[!1].concat(o),dflt:!1}},\"overlaying\")),!k){var A=n(\"domain\",f);A[0]>A[1]-1/4096&&(r.domain=f),tI.noneOrAll(t.domain,r.domain,f),r.tickmode===\"sync\"&&(r.tickmode=\"auto\")}return n(\"layer\"),r}});var Gve=ye((Vnr,Hve)=>{\"use strict\";var jb=Mr(),Fve=va(),Lvt=rp().isUnifiedHover,Pvt=OB(),qve=Vs(),Ivt=s3(),Ove=Cd(),Rvt=yU(),Bve=JM(),Dvt=Bb(),Nve=rI(),bU=af(),Cm=bU.id2name,Uve=bU.name2id,zvt=ad().AX_ID_PATTERN,Vve=ba(),iI=Vve.traceIs,xU=Vve.getComponentMethod;function nI(e,t,r){Array.isArray(e[t])?e[t].push(r):e[t]=[r]}Hve.exports=function(t,r,n){var i=r.autotypenumbers,a={},o={},s={},l={},u={},c={},f={},h={},d={},v={},x,b;for(x=0;x{\"use strict\";var Fvt=xa(),jve=ba(),aI=Mr(),Qp=ao(),oI=Qa();Wve.exports=function(t,r,n,i){var a=t._fullLayout;if(r.length===0){oI.redrawComponents(t);return}function o(b){var g=b.xaxis,E=b.yaxis;a._defs.select(\"#\"+b.clipId+\"> rect\").call(Qp.setTranslate,0,0).call(Qp.setScale,1,1),b.plot.call(Qp.setTranslate,g._offset,E._offset).call(Qp.setScale,1,1);var k=b.plot.selectAll(\".scatterlayer .trace\");k.selectAll(\".point\").call(Qp.setPointGroupScale,1,1),k.selectAll(\".textpoint\").call(Qp.setTextPointsScale,1,1),k.call(Qp.hideOutsideRangePoints,b)}function s(b,g){var E=b.plotinfo,k=E.xaxis,A=E.yaxis,L=k._length,_=A._length,C=!!b.xr1,M=!!b.yr1,p=[];if(C){var P=aI.simpleMap(b.xr0,k.r2l),T=aI.simpleMap(b.xr1,k.r2l),F=P[1]-P[0],q=T[1]-T[0];p[0]=(P[0]*(1-g)+g*T[0]-P[0])/(P[1]-P[0])*L,p[2]=L*(1-g+g*q/F),k.range[0]=k.l2r(P[0]*(1-g)+g*T[0]),k.range[1]=k.l2r(P[1]*(1-g)+g*T[1])}else p[0]=0,p[2]=L;if(M){var V=aI.simpleMap(b.yr0,A.r2l),H=aI.simpleMap(b.yr1,A.r2l),X=V[1]-V[0],G=H[1]-H[0];p[1]=(V[1]*(1-g)+g*H[1]-V[1])/(V[0]-V[1])*_,p[3]=_*(1-g+g*G/X),A.range[0]=k.l2r(V[0]*(1-g)+g*H[0]),A.range[1]=A.l2r(V[1]*(1-g)+g*H[1])}else p[1]=0,p[3]=_;oI.drawOne(t,k,{skipTitle:!0}),oI.drawOne(t,A,{skipTitle:!0}),oI.redrawComponents(t,[k._id,A._id]);var N=C?L/p[2]:1,W=M?_/p[3]:1,re=C?p[0]:0,ae=M?p[1]:0,_e=C?p[0]/p[2]*L:0,Me=M?p[1]/p[3]*_:0,ke=k._offset-_e,ge=A._offset-Me;E.clipRect.call(Qp.setTranslate,re,ae).call(Qp.setScale,1/N,1/W),E.plot.call(Qp.setTranslate,ke,ge).call(Qp.setScale,N,W),Qp.setPointGroupScale(E.zoomScalePts,1/N,1/W),Qp.setTextPointsScale(E.zoomScaleTxt,1/N,1/W)}var l;i&&(l=i());function u(){for(var b={},g=0;gn.duration?(u(),d=window.cancelAnimationFrame(x)):d=window.requestAnimationFrame(x)}return f=Date.now(),d=window.requestAnimationFrame(x),Promise.resolve()}});var Jf=ye(yv=>{\"use strict\";var lI=xa(),Xve=ba(),Wb=Mr(),qvt=Xu(),Ovt=ao(),Yve=kd().getModuleCalcData,g_=af(),zg=ad(),Bvt=Zp(),Fl=Wb.ensureSingle;function sI(e,t,r){return Wb.ensureSingle(e,t,r,function(n){n.datum(r)})}var Zb=zg.zindexSeparator;yv.name=\"cartesian\";yv.attr=[\"xaxis\",\"yaxis\"];yv.idRoot=[\"x\",\"y\"];yv.idRegex=zg.idRegex;yv.attrRegex=zg.attrRegex;yv.attributes=wve();yv.layoutAttributes=Cd();yv.supplyLayoutDefaults=Gve();yv.transitionAxes=Zve();yv.finalizeSubplots=function(e,t){var r=t._subplots,n=r.xaxis,i=r.yaxis,a=r.cartesian,o=a,s={},l={},u,c,f;for(u=0;u0){var d=h.id;if(d.indexOf(Zb)!==-1)continue;d+=Zb+(u+1),h=Wb.extendFlat({},h,{id:d,plot:i._cartesianlayer.selectAll(\".subplot\").select(\".\"+d)})}for(var v=[],x,b=0;b1&&(L+=Zb+A),k.push(s+L),o=0;o1,f=t.mainplotinfo;if(!t.mainplot||c)if(u)t.xlines=Fl(n,\"path\",\"xlines-above\"),t.ylines=Fl(n,\"path\",\"ylines-above\"),t.xaxislayer=Fl(n,\"g\",\"xaxislayer-above\"),t.yaxislayer=Fl(n,\"g\",\"yaxislayer-above\");else{if(!o){var h=Fl(n,\"g\",\"layer-subplot\");t.shapelayer=Fl(h,\"g\",\"shapelayer\"),t.imagelayer=Fl(h,\"g\",\"imagelayer\"),f&&c?(t.minorGridlayer=f.minorGridlayer,t.gridlayer=f.gridlayer,t.zerolinelayer=f.zerolinelayer):(t.minorGridlayer=Fl(n,\"g\",\"minor-gridlayer\"),t.gridlayer=Fl(n,\"g\",\"gridlayer\"),t.zerolinelayer=Fl(n,\"g\",\"zerolinelayer\"));var d=Fl(n,\"g\",\"layer-between\");t.shapelayerBetween=Fl(d,\"g\",\"shapelayer\"),t.imagelayerBetween=Fl(d,\"g\",\"imagelayer\"),Fl(n,\"path\",\"xlines-below\"),Fl(n,\"path\",\"ylines-below\"),t.overlinesBelow=Fl(n,\"g\",\"overlines-below\"),Fl(n,\"g\",\"xaxislayer-below\"),Fl(n,\"g\",\"yaxislayer-below\"),t.overaxesBelow=Fl(n,\"g\",\"overaxes-below\")}t.overplot=Fl(n,\"g\",\"overplot\"),t.plot=Fl(t.overplot,\"g\",i),o||(t.xlines=Fl(n,\"path\",\"xlines-above\"),t.ylines=Fl(n,\"path\",\"ylines-above\"),t.overlinesAbove=Fl(n,\"g\",\"overlines-above\"),Fl(n,\"g\",\"xaxislayer-above\"),Fl(n,\"g\",\"yaxislayer-above\"),t.overaxesAbove=Fl(n,\"g\",\"overaxes-above\"),t.xlines=n.select(\".xlines-\"+s),t.ylines=n.select(\".ylines-\"+l),t.xaxislayer=n.select(\".xaxislayer-\"+s),t.yaxislayer=n.select(\".yaxislayer-\"+l))}else{var v=f.plotgroup,x=i+\"-x\",b=i+\"-y\";t.minorGridlayer=f.minorGridlayer,t.gridlayer=f.gridlayer,t.zerolinelayer=f.zerolinelayer,Fl(f.overlinesBelow,\"path\",x),Fl(f.overlinesBelow,\"path\",b),Fl(f.overaxesBelow,\"g\",x),Fl(f.overaxesBelow,\"g\",b),t.plot=Fl(f.overplot,\"g\",i),Fl(f.overlinesAbove,\"path\",x),Fl(f.overlinesAbove,\"path\",b),Fl(f.overaxesAbove,\"g\",x),Fl(f.overaxesAbove,\"g\",b),t.xlines=v.select(\".overlines-\"+s).select(\".\"+x),t.ylines=v.select(\".overlines-\"+l).select(\".\"+b),t.xaxislayer=v.select(\".overaxes-\"+s).select(\".\"+x),t.yaxislayer=v.select(\".overaxes-\"+l).select(\".\"+b)}o||(u||(sI(t.minorGridlayer,\"g\",t.xaxis._id),sI(t.minorGridlayer,\"g\",t.yaxis._id),t.minorGridlayer.selectAll(\"g\").map(function(g){return g[0]}).sort(g_.idSort),sI(t.gridlayer,\"g\",t.xaxis._id),sI(t.gridlayer,\"g\",t.yaxis._id),t.gridlayer.selectAll(\"g\").map(function(g){return g[0]}).sort(g_.idSort)),t.xlines.style(\"fill\",\"none\").classed(\"crisp\",!0),t.ylines.style(\"fill\",\"none\").classed(\"crisp\",!0))}function $ve(e,t){if(e){var r={};e.each(function(l){var u=l[0],c=lI.select(this);c.remove(),Qve(u,t),r[u]=!0});for(var n in t._plots)for(var i=t._plots[n],a=i.overlays||[],o=0;o{\"use strict\";var uI=lu();epe.exports={hasLines:uI.hasLines,hasMarkers:uI.hasMarkers,hasText:uI.hasText,isBubble:uI.isBubble,attributes:Uc(),layoutAttributes:U6(),supplyDefaults:Ede(),crossTraceDefaults:$N(),supplyLayoutDefaults:Pde(),calc:q0().calc,crossTraceCalc:tve(),arraysToCalcdata:km(),plot:iT(),colorbar:Kd(),formatLabels:JP(),style:op().style,styleOnSelect:op().styleOnSelect,hoverPoints:sT(),selectPoints:lT(),animatable:!0,moduleType:\"trace\",name:\"scatter\",basePlotModule:Jf(),categories:[\"cartesian\",\"svg\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\",\"zoomScale\"],meta:{}}});var npe=ye((Wnr,ipe)=>{\"use strict\";var Uvt=xa(),Vvt=va(),rpe=MN(),wU=Mr(),Hvt=wU.strScale,Gvt=wU.strRotate,jvt=wU.strTranslate;ipe.exports=function(t,r,n){var i=t.node(),a=rpe[n.arrowhead||0],o=rpe[n.startarrowhead||0],s=(n.arrowwidth||1)*(n.arrowsize||1),l=(n.arrowwidth||1)*(n.startarrowsize||1),u=r.indexOf(\"start\")>=0,c=r.indexOf(\"end\")>=0,f=a.backoff*s+n.standoff,h=o.backoff*l+n.startstandoff,d,v,x,b;if(i.nodeName===\"line\"){d={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},v={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var g=d.x-v.x,E=d.y-v.y;if(x=Math.atan2(E,g),b=x+Math.PI,f&&h&&f+h>Math.sqrt(g*g+E*E)){V();return}if(f){if(f*f>g*g+E*E){V();return}var k=f*Math.cos(x),A=f*Math.sin(x);v.x+=k,v.y+=A,t.attr({x2:v.x,y2:v.y})}if(h){if(h*h>g*g+E*E){V();return}var L=h*Math.cos(x),_=h*Math.sin(x);d.x-=L,d.y-=_,t.attr({x1:d.x,y1:d.y})}}else if(i.nodeName===\"path\"){var C=i.getTotalLength(),M=\"\";if(C{\"use strict\";var ape=xa(),TU=ba(),Wvt=Xu(),y_=Mr(),AU=y_.strTranslate,QM=Qa(),Xb=va(),Py=ao(),ope=Nc(),SU=Ll(),MU=Tg(),$M=gv(),Zvt=Vs().arrayEditor,Xvt=npe();upe.exports={draw:Yvt,drawOne:spe,drawRaw:lpe};function Yvt(e){var t=e._fullLayout;t._infolayer.selectAll(\".annotation\").remove();for(var r=0;r2/3?Xe=\"right\":Xe=\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[Xe]}for(var Ce=!1,me=[\"x\",\"y\"],Re=0;Re1)&&(nt===Ge?(St=ct.r2fraction(t[\"a\"+ce]),(St<0||St>1)&&(Ce=!0)):Ce=!0),xr=ct._offset+ct.r2p(t[ce]),xt=.5}else{var Et=Lt===\"domain\";ce===\"x\"?(Ke=t[ce],xr=Et?ct._offset+ct._length*Ke:xr=s.l+s.w*Ke):(Ke=1-t[ce],xr=Et?ct._offset+ct._length*Ke:xr=s.t+s.h*Ke),xt=t.showarrow?.5:Ke}if(t.showarrow){Yt.head=xr;var dt=t[\"a\"+ce];if(bt=rt*ze(.5,t.xanchor)-ot*ze(.5,t.yanchor),nt===Ge){var 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PU=cI(),Ape=ppe();Spe.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:Nb(),supplyLayoutDefaults:ype(),includeBasePlot:IM()(\"annotations\"),calcAutorange:bpe(),draw:PU.draw,drawOne:PU.drawOne,drawRaw:PU.drawRaw,hasClickToShow:Ape.hasClickToShow,onClick:Ape.onClick,convertCoords:Tpe()}});var fI=ye((ear,Epe)=>{\"use strict\";var Ku=Nb(),spt=Bu().overrideAll,lpt=Vs().templatedArray;Epe.exports=spt(lpt(\"annotation\",{visible:Ku.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:Ku.xanchor,xshift:Ku.xshift,yanchor:Ku.yanchor,yshift:Ku.yshift,text:Ku.text,textangle:Ku.textangle,font:Ku.font,width:Ku.width,height:Ku.height,opacity:Ku.opacity,align:Ku.align,valign:Ku.valign,bgcolor:Ku.bgcolor,bordercolor:Ku.bordercolor,borderpad:Ku.borderpad,borderwidth:Ku.borderwidth,showarrow:Ku.showarrow,arrowcolor:Ku.arrowcolor,arrowhead:Ku.arrowhead,startarrowhead:Ku.startarrowhead,arrowside:Ku.arrowside,arrowsize:Ku.arrowsize,startarrowsize:Ku.startarrowsize,arrowwidth:Ku.arrowwidth,standoff:Ku.standoff,startstandoff:Ku.startstandoff,hovertext:Ku.hovertext,hoverlabel:Ku.hoverlabel,captureevents:Ku.captureevents}),\"calc\",\"from-root\")});var Cpe=ye((tar,kpe)=>{\"use strict\";var IU=Mr(),upt=Qa(),cpt=Zd(),fpt=kU(),hpt=fI();kpe.exports=function(t,r,n){cpt(t,r,{name:\"annotations\",handleItemDefaults:dpt,fullLayout:n.fullLayout})};function dpt(e,t,r,n){function i(s,l){return IU.coerce(e,t,hpt,s,l)}function a(s){var l=s+\"axis\",u={_fullLayout:{}};return u._fullLayout[l]=r[l],upt.coercePosition(t,u,i,s,s,.5)}var o=i(\"visible\");o&&(fpt(e,t,n.fullLayout,i),a(\"x\"),a(\"y\"),a(\"z\"),IU.noneOrAll(e,t,[\"x\",\"y\",\"z\"]),t.xref=\"x\",t.yref=\"y\",t.zref=\"z\",i(\"xanchor\"),i(\"yanchor\"),i(\"xshift\"),i(\"yshift\"),t.showarrow&&(t.axref=\"pixel\",t.ayref=\"pixel\",i(\"ax\",-10),i(\"ay\",-30),IU.noneOrAll(e,t,[\"ax\",\"ay\"])))}});var Rpe=ye((rar,Ipe)=>{\"use strict\";var Lpe=Mr(),Ppe=Qa();Ipe.exports=function(t){for(var r=t.fullSceneLayout,n=r.annotations,i=0;i{\"use strict\";function RU(e,t){var r=[0,0,0,0],n,i;for(n=0;n<4;++n)for(i=0;i<4;++i)r[i]+=e[4*n+i]*t[n];return r}function ppt(e,t){var r=RU(e.projection,RU(e.view,RU(e.model,[t[0],t[1],t[2],1])));return 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n0e=ad(),Rpt=Vs().templatedArray,har=PM();a0e.exports=Rpt(\"image\",{visible:{valType:\"boolean\",dflt:!0,editType:\"arraydraw\"},source:{valType:\"string\",editType:\"arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},sizex:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizey:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizing:{valType:\"enumerated\",values:[\"fill\",\"contain\",\"stretch\"],dflt:\"contain\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},x:{valType:\"any\",dflt:0,editType:\"arraydraw\"},y:{valType:\"any\",dflt:0,editType:\"arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"top\",editType:\"arraydraw\"},xref:{valType:\"enumerated\",values:[\"paper\",n0e.idRegex.x.toString()],dflt:\"paper\",editType:\"arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",n0e.idRegex.y.toString()],dflt:\"paper\",editType:\"arraydraw\"},editType:\"arraydraw\"})});var s0e=ye((par,o0e)=>{\"use strict\";var Dpt=Mr(),OU=Qa(),zpt=Zd(),Fpt=qU(),qpt=\"images\";o0e.exports=function(t,r){var n={name:qpt,handleItemDefaults:Opt};zpt(t,r,n)};function Opt(e,t,r){function n(h,d){return Dpt.coerce(e,t,Fpt,h,d)}var i=n(\"source\"),a=n(\"visible\",!!i);if(!a)return t;n(\"layer\"),n(\"xanchor\"),n(\"yanchor\"),n(\"sizex\"),n(\"sizey\"),n(\"sizing\"),n(\"opacity\");for(var o={_fullLayout:r},s=[\"x\",\"y\"],l=0;l<2;l++){var u=s[l],c=OU.coerceRef(e,t,o,u,\"paper\",void 0);if(c!==\"paper\"){var f=OU.getFromId(o,c);f._imgIndices.push(t._index)}OU.coercePosition(t,o,n,c,u,0)}return t}});var f0e=ye((gar,c0e)=>{\"use strict\";var l0e=xa(),Bpt=ao(),vT=Qa(),u0e=af(),Npt=Zp();c0e.exports=function(t){var r=t._fullLayout,n=[],i={},a=[],o,s;for(s=0;s{\"use strict\";var h0e=uo(),Upt=l6();d0e.exports=function(t,r,n,i){r=r||{};var a=n===\"log\"&&r.type===\"linear\",o=n===\"linear\"&&r.type===\"log\";if(a||o){for(var s=t._fullLayout.images,l=r._id.charAt(0),u,c,f=0;f{\"use 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Vpt=Su(),Hpt=dh(),Gpt=no().extendFlat,jpt=Bu().overrideAll,Wpt=b6(),y0e=Vs().templatedArray,Zpt=y0e(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});_0e.exports=jpt(y0e(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:Zpt,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:Gpt(Wpt({editType:\"arraydraw\"}),{}),font:Vpt({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:Hpt.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")});var T0e=ye((bar,w0e)=>{\"use strict\";var dI=Mr(),x0e=Zd(),b0e=BU(),Xpt=hI(),Ypt=Xpt.name,Kpt=b0e.buttons;w0e.exports=function(t,r){var n={name:Ypt,handleItemDefaults:Jpt};x0e(t,r,n)};function Jpt(e,t,r){function n(o,s){return dI.coerce(e,t,b0e,o,s)}var i=x0e(e,t,{name:\"buttons\",handleItemDefaults:$pt}),a=n(\"visible\",i.length>0);a&&(n(\"active\"),n(\"direction\"),n(\"type\"),n(\"showactive\"),n(\"x\"),n(\"y\"),dI.noneOrAll(e,t,[\"x\",\"y\"]),n(\"xanchor\"),n(\"yanchor\"),n(\"pad.t\"),n(\"pad.r\"),n(\"pad.b\"),n(\"pad.l\"),dI.coerceFont(n,\"font\",r.font),n(\"bgcolor\",r.paper_bgcolor),n(\"bordercolor\"),n(\"borderwidth\"))}function $pt(e,t){function r(i,a){return dI.coerce(e,t,Kpt,i,a)}var n=r(\"visible\",e.method===\"skip\"||Array.isArray(e.args));n&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}});var M0e=ye((war,S0e)=>{\"use strict\";S0e.exports=of;var qg=xa(),A0e=va(),pT=ao(),vI=Mr();function of(e,t,r){this.gd=e,this.container=t,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}of.barWidth=2;of.barLength=20;of.barRadius=2;of.barPad=1;of.barColor=\"#808BA4\";of.prototype.enable=function(t,r,n){var i=this.gd._fullLayout,a=i.width,o=i.height;this.position=t;var s=this.position.l,l=this.position.w,u=this.position.t,c=this.position.h,f=this.position.direction,h=f===\"down\",d=f===\"left\",v=f===\"right\",x=f===\"up\",b=l,g=c,E,k,A,L;!h&&!d&&!v&&!x&&(this.position.direction=\"down\",h=!0);var _=h||x;_?(E=s,k=E+b,h?(A=u,L=Math.min(A+g,o),g=L-A):(L=u+g,A=Math.max(L-g,0),g=L-A)):(A=u,L=A+g,d?(k=s+b,E=Math.max(k-b,0),b=k-E):(E=s,k=Math.min(E+b,a),b=k-E)),this._box={l:E,t:A,w:b,h:g};var C=l>b,M=of.barLength+2*of.barPad,p=of.barWidth+2*of.barPad,P=s,T=u+c;T+p>o&&(T=o-p);var F=this.container.selectAll(\"rect.scrollbar-horizontal\").data(C?[0]:[]);F.exit().on(\".drag\",null).remove(),F.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(A0e.fill,of.barColor),C?(this.hbar=F.attr({rx:of.barRadius,ry:of.barRadius,x:P,y:T,width:M,height:p}),this._hbarXMin=P+M/2,this._hbarTranslateMax=b-M):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var q=c>g,V=of.barWidth+2*of.barPad,H=of.barLength+2*of.barPad,X=s+l,G=u;X+V>a&&(X=a-V);var N=this.container.selectAll(\"rect.scrollbar-vertical\").data(q?[0]:[]);N.exit().on(\".drag\",null).remove(),N.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(A0e.fill,of.barColor),q?(this.vbar=N.attr({rx:of.barRadius,ry:of.barRadius,x:X,y:G,width:V,height:H}),this._vbarYMin=G+H/2,this._vbarTranslateMax=g-H):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var W=this.id,re=E-.5,ae=q?k+V+.5:k+.5,_e=A-.5,Me=C?L+p+.5:L+.5,ke=i._topdefs.selectAll(\"#\"+W).data(C||q?[0]:[]);if(ke.exit().remove(),ke.enter().append(\"clipPath\").attr(\"id\",W).append(\"rect\"),C||q?(this._clipRect=ke.select(\"rect\").attr({x:Math.floor(re),y:Math.floor(_e),width:Math.ceil(ae)-Math.floor(re),height:Math.ceil(Me)-Math.floor(_e)}),this.container.call(pT.setClipUrl,W,this.gd),this.bg.attr({x:s,y:u,width:l,height:c})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(pT.setClipUrl,null),delete this._clipRect),C||q){var ge=qg.behavior.drag().on(\"dragstart\",function(){qg.event.sourceEvent.preventDefault()}).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(ge);var ie=qg.behavior.drag().on(\"dragstart\",function(){qg.event.sourceEvent.preventDefault(),qg.event.sourceEvent.stopPropagation()}).on(\"drag\",this._onBarDrag.bind(this));C&&this.hbar.on(\".drag\",null).call(ie),q&&this.vbar.on(\".drag\",null).call(ie)}this.setTranslate(r,n)};of.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(pT.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)};of.prototype._onBoxDrag=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t-=qg.event.dx),this.vbar&&(r-=qg.event.dy),this.setTranslate(t,r)};of.prototype._onBoxWheel=function(){var t=this.translateX,r=this.translateY;this.hbar&&(t+=qg.event.deltaY),this.vbar&&(r+=qg.event.deltaY),this.setTranslate(t,r)};of.prototype._onBarDrag=function(){var t=this.translateX,r=this.translateY;if(this.hbar){var n=t+this._hbarXMin,i=n+this._hbarTranslateMax,a=vI.constrain(qg.event.x,n,i),o=(a-n)/(i-n),s=this.position.w-this._box.w;t=o*s}if(this.vbar){var l=r+this._vbarYMin,u=l+this._vbarTranslateMax,c=vI.constrain(qg.event.y,l,u),f=(c-l)/(u-l),h=this.position.h-this._box.h;r=f*h}this.setTranslate(t,r)};of.prototype.setTranslate=function(t,r){var n=this.position.w-this._box.w,i=this.position.h-this._box.h;if(t=vI.constrain(t||0,0,n),r=vI.constrain(r||0,0,i),this.translateX=t,this.translateY=r,this.container.call(pT.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-r),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+r-.5)}),this.hbar){var a=t/n;this.hbar.call(pT.setTranslate,t+a*this._hbarTranslateMax,r)}if(this.vbar){var o=r/i;this.vbar.call(pT.setTranslate,t,r+o*this._vbarTranslateMax)}}});var F0e=ye((Tar,z0e)=>{\"use strict\";var gT=xa(),t4=Xu(),r4=va(),mT=ao(),e0=Mr(),pI=Ll(),Qpt=Vs().arrayEditor,k0e=Nh().LINE_SPACING,Go=hI(),e0t=M0e();z0e.exports=function(t){var r=t._fullLayout,n=e0.filterVisible(r[Go.name]);function i(h){t4.autoMargin(t,R0e(h))}var a=r._menulayer.selectAll(\"g.\"+Go.containerClassName).data(n.length>0?[0]:[]);if(a.enter().append(\"g\").classed(Go.containerClassName,!0).style(\"cursor\",\"pointer\"),a.exit().each(function(){gT.select(this).selectAll(\"g.\"+Go.headerGroupClassName).each(i)}).remove(),n.length!==0){var o=a.selectAll(\"g.\"+Go.headerGroupClassName).data(n,t0t);o.enter().append(\"g\").classed(Go.headerGroupClassName,!0);for(var s=e0.ensureSingle(a,\"g\",Go.dropdownButtonGroupClassName,function(h){h.style(\"pointer-events\",\"all\")}),l=0;l{\"use strict\";var l0t=hI();q0e.exports={moduleType:\"component\",name:l0t.name,layoutAttributes:BU(),supplyLayoutDefaults:T0e(),draw:F0e()}});var n4=ye((Sar,B0e)=>{\"use 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HU=ye((Mar,V0e)=>{\"use strict\";var 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Kge=ye((Zar,Yge)=>{\"use strict\";var Xge=uo(),Rgt=ba(),Dgt=Mr(),zgt=Vs(),Fgt=aV();Yge.exports=function(e,t,r,n){var i=\"error_\"+n.axis,a=zgt.newContainer(t,i),o=e[i]||{};function s(v,x){return Dgt.coerce(o,a,Fgt,v,x)}var l=o.array!==void 0||o.value!==void 0||o.type===\"sqrt\",u=s(\"visible\",l);if(u!==!1){var c=s(\"type\",\"array\"in o?\"data\":\"percent\"),f=!0;c!==\"sqrt\"&&(f=s(\"symmetric\",!((c===\"data\"?\"arrayminus\":\"valueminus\")in o))),c===\"data\"?(s(\"array\"),s(\"traceref\"),f||(s(\"arrayminus\"),s(\"tracerefminus\"))):(c===\"percent\"||c===\"constant\")&&(s(\"value\"),f||s(\"valueminus\"));var h=\"copy_\"+n.inherit+\"style\";if(n.inherit){var d=t[\"error_\"+n.inherit];(d||{}).visible&&s(h,!(o.color||Xge(o.thickness)||Xge(o.width)))}(!n.inherit||!a[h])&&(s(\"color\",r),s(\"thickness\"),s(\"width\",Rgt.traceIs(t,\"gl3d\")?0:4))}}});var oV=ye((Xar,$ge)=>{\"use strict\";$ge.exports=function(t){var r=t.type,n=t.symmetric;if(r===\"data\"){var i=t.array||[];if(n)return 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cme=ye(($ar,ume)=>{\"use strict\";var o4=Mr(),lme=Bu().overrideAll,s4=aV(),$b={error_x:o4.extendFlat({},s4),error_y:o4.extendFlat({},s4)};delete $b.error_x.copy_zstyle;delete $b.error_y.copy_zstyle;delete $b.error_y.copy_ystyle;var l4={error_x:o4.extendFlat({},s4),error_y:o4.extendFlat({},s4),error_z:o4.extendFlat({},s4)};delete l4.error_x.copy_ystyle;delete l4.error_y.copy_ystyle;delete l4.error_z.copy_ystyle;delete l4.error_z.copy_zstyle;ume.exports={moduleType:\"component\",name:\"errorbars\",schema:{traces:{scatter:$b,bar:$b,histogram:$b,scatter3d:lme(l4,\"calc\",\"nested\"),scattergl:lme($b,\"calc\",\"nested\")}},supplyDefaults:Kge(),calc:tme(),makeComputeError:oV(),plot:nme(),style:sme(),hoverInfo:Ggt};function Ggt(e,t,r){(t.error_y||{}).visible&&(r.yerr=e.yh-e.y,t.error_y.symmetric||(r.yerrneg=e.y-e.ys)),(t.error_x||{}).visible&&(r.xerr=e.xh-e.x,t.error_x.symmetric||(r.xerrneg=e.x-e.xs))}});var hme=ye((Qar,fme)=>{\"use 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n=t._levels,i=[],a=[],o,s,l=n.end+n.size/100,u=n.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(s=0;s<1e5&&(o=n.start+s*u,!(u>0?o>=l:o<=l));s++)o>c&&o0?o>=l:o<=l));s++)o>r[0]&&o{\"use strict\";xme.exports={moduleType:\"component\",name:\"colorbar\",attributes:Y6(),supplyDefaults:AO(),draw:_me().draw,hasColorbar:mO()}});var Tme=ye((ror,wme)=>{\"use strict\";wme.exports={moduleType:\"component\",name:\"legend\",layoutAttributes:yB(),supplyLayoutDefaults:bB(),draw:RB(),style:CB()}});var Sme=ye((ior,Ame)=>{\"use strict\";Ame.exports={moduleType:\"locale\",name:\"en\",dictionary:{\"Click to enter Colorscale title\":\"Click to enter Colourscale 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t;switch(e){case\"themes__thumb\":t={autosize:!0,width:150,height:150,title:{text:\"\"},showlegend:!1,margin:{l:5,r:5,t:5,b:5,pad:0},annotations:[]};break;case\"thumbnail\":t={title:{text:\"\"},hidesources:!0,showlegend:!1,borderwidth:0,bordercolor:\"\",margin:{l:1,r:1,t:1,b:1,pad:0},annotations:[]};break;default:t={}}return t}function nmt(e){var t=[\"xaxis\",\"yaxis\",\"zaxis\"];return t.indexOf(e.slice(0,5))>-1}Pme.exports=function(t,r){var n,i=t.data,a=t.layout,o=kme([],i),s=kme({},a,Cme(r.tileClass)),l=t._context||{};if(r.width&&(s.width=r.width),r.height&&(s.height=r.height),r.tileClass===\"thumbnail\"||r.tileClass===\"themes__thumb\"){s.annotations=[];var u=Object.keys(s);for(n=0;n{\"use strict\";var amt=vb().EventEmitter,omt=ba(),smt=Mr(),Ime=Ly(),lmt=vV(),umt=OP(),cmt=BP();function fmt(e,t){var r=new amt,n=lmt(e,{format:\"png\"}),i=n.gd;i.style.position=\"absolute\",i.style.left=\"-5000px\",document.body.appendChild(i);function a(){var s=Ime.getDelay(i._fullLayout);setTimeout(function(){var l=umt(i),u=document.createElement(\"canvas\");u.id=smt.randstr(),r=cmt({format:t.format,width:i._fullLayout.width,height:i._fullLayout.height,canvas:u,emitter:r,svg:l}),r.clean=function(){i&&document.body.removeChild(i)}},s)}var o=Ime.getRedrawFunc(i);return omt.call(\"_doPlot\",i,n.data,n.layout,n.config).then(o).then(a).catch(function(s){r.emit(\"error\",s)}),r}Rme.exports=fmt});var qme=ye((sor,Fme)=>{\"use strict\";var zme=Ly(),hmt={getDelay:zme.getDelay,getRedrawFunc:zme.getRedrawFunc,clone:vV(),toSVG:OP(),svgToImg:BP(),toImage:Dme(),downloadImage:YN()};Fme.exports=hmt});var Bme=ye(Dy=>{\"use strict\";Dy.version=QC().version;QQ();Vie();var dmt=ba(),u4=Dy.register=dmt.register,gV=sde(),Ome=Object.keys(gV);for(II=0;II{\"use strict\";Nme.exports=Bme()});var Qb=ye((cor,Vme)=>{\"use strict\";Vme.exports={TEXTPAD:3,eventDataKeys:[\"value\",\"label\"]}});var Lm=ye((hor,Wme)=>{\"use strict\";var Tf=Uc(),Hme=Oc().axisHoverFormat,vmt=Wo().hovertemplateAttrs,pmt=Wo().texttemplateAttrs,jme=Kl(),gmt=Su(),Gme=Qb(),mmt=Ed().pattern,e2=no().extendFlat,mV=gmt({editType:\"calc\",arrayOk:!0,colorEditType:\"style\"}),ymt=Tf.marker,_mt=ymt.line,xmt=e2({},_mt.width,{dflt:0}),bmt=e2({width:xmt,editType:\"calc\"},jme(\"marker.line\")),wmt=e2({line:bmt,editType:\"calc\"},jme(\"marker\"),{opacity:{valType:\"number\",arrayOk:!0,dflt:1,min:0,max:1,editType:\"style\"},pattern:mmt,cornerradius:{valType:\"any\",editType:\"calc\"}});Wme.exports={x:Tf.x,x0:Tf.x0,dx:Tf.dx,y:Tf.y,y0:Tf.y0,dy:Tf.dy,xperiod:Tf.xperiod,yperiod:Tf.yperiod,xperiod0:Tf.xperiod0,yperiod0:Tf.yperiod0,xperiodalignment:Tf.xperiodalignment,yperiodalignment:Tf.yperiodalignment,xhoverformat:Hme(\"x\"),yhoverformat:Hme(\"y\"),text:Tf.text,texttemplate:pmt({editType:\"plot\"},{keys:Gme.eventDataKeys}),hovertext:Tf.hovertext,hovertemplate:vmt({},{keys:Gme.eventDataKeys}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"calc\"},insidetextanchor:{valType:\"enumerated\",values:[\"end\",\"middle\",\"start\"],dflt:\"end\",editType:\"plot\"},textangle:{valType:\"angle\",dflt:\"auto\",editType:\"plot\"},textfont:e2({},mV,{}),insidetextfont:e2({},mV,{}),outsidetextfont:e2({},mV,{}),constraintext:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"both\",\"none\"],dflt:\"both\",editType:\"calc\"},cliponaxis:e2({},Tf.cliponaxis,{}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],editType:\"calc+clearAxisTypes\"},base:{valType:\"any\",dflt:null,arrayOk:!0,editType:\"calc\"},offset:{valType:\"number\",dflt:null,arrayOk:!0,editType:\"calc\"},width:{valType:\"number\",dflt:null,min:0,arrayOk:!0,editType:\"calc\"},marker:wmt,offsetgroup:Tf.offsetgroup,alignmentgroup:Tf.alignmentgroup,selected:{marker:{opacity:Tf.selected.marker.opacity,color:Tf.selected.marker.color,editType:\"style\"},textfont:Tf.selected.textfont,editType:\"style\"},unselected:{marker:{opacity:Tf.unselected.marker.opacity,color:Tf.unselected.marker.color,editType:\"style\"},textfont:Tf.unselected.textfont,editType:\"style\"},zorder:Tf.zorder}});var DI=ye((dor,Zme)=>{\"use strict\";Zme.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\",\"relative\"],dflt:\"group\",editType:\"calc\"},barnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},bargap:{valType:\"number\",min:0,max:1,editType:\"calc\"},bargroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},barcornerradius:{valType:\"any\",editType:\"calc\"}}});var zI=ye((vor,Kme)=>{\"use strict\";var Tmt=va(),Xme=Dv().hasColorscale,Yme=Uh(),Amt=Mr().coercePattern;Kme.exports=function(t,r,n,i,a){var o=n(\"marker.color\",i),s=Xme(t,\"marker\");s&&Yme(t,r,a,n,{prefix:\"marker.\",cLetter:\"c\"}),n(\"marker.line.color\",Tmt.defaultLine),Xme(t,\"marker.line\")&&Yme(t,r,a,n,{prefix:\"marker.line.\",cLetter:\"c\"}),n(\"marker.line.width\"),n(\"marker.opacity\"),Amt(n,\"marker.pattern\",o,s),n(\"selected.marker.color\"),n(\"unselected.marker.color\")}});var r0=ye((por,rye)=>{\"use strict\";var Jme=uo(),xT=Mr(),$me=va(),Smt=ba(),Mmt=K3(),Emt=Pg(),kmt=zI(),Cmt=Hb(),Qme=Lm(),FI=xT.coerceFont;function Lmt(e,t,r,n){function i(u,c){return xT.coerce(e,t,Qme,u,c)}var a=Mmt(e,t,n,i);if(!a){t.visible=!1;return}Emt(e,t,n,i),i(\"xhoverformat\"),i(\"yhoverformat\"),i(\"zorder\"),i(\"orientation\",t.x&&!t.y?\"h\":\"v\"),i(\"base\"),i(\"offset\"),i(\"width\"),i(\"text\"),i(\"hovertext\"),i(\"hovertemplate\");var o=i(\"textposition\");tye(e,t,n,i,o,{moduleHasSelected:!0,moduleHasUnselected:!0,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),kmt(e,t,i,r,n);var s=(t.marker.line||{}).color,l=Smt.getComponentMethod(\"errorbars\",\"supplyDefaults\");l(e,t,s||$me.defaultLine,{axis:\"y\"}),l(e,t,s||$me.defaultLine,{axis:\"x\",inherit:\"y\"}),xT.coerceSelectionMarkerOpacity(t,i)}function Pmt(e,t){var r,n;function i(s,l){return xT.coerce(n._input,n,Qme,s,l)}for(var a=0;a=0)return e}else if(typeof e==\"string\"&&(e=e.trim(),e.slice(-1)===\"%\"&&Jme(e.slice(0,-1))&&(e=+e.slice(0,-1),e>=0)))return e+\"%\"}function tye(e,t,r,n,i,a){a=a||{};var o=a.moduleHasSelected!==!1,s=a.moduleHasUnselected!==!1,l=a.moduleHasConstrain!==!1,u=a.moduleHasCliponaxis!==!1,c=a.moduleHasTextangle!==!1,f=a.moduleHasInsideanchor!==!1,h=!!a.hasPathbar,d=Array.isArray(i)||i===\"auto\",v=d||i===\"inside\",x=d||i===\"outside\";if(v||x){var b=FI(n,\"textfont\",r.font),g=xT.extendFlat({},b),E=e.textfont&&e.textfont.color,k=!E;if(k&&delete g.color,FI(n,\"insidetextfont\",g),h){var A=xT.extendFlat({},b);k&&delete A.color,FI(n,\"pathbar.textfont\",A)}x&&FI(n,\"outsidetextfont\",b),o&&n(\"selected.textfont.color\"),s&&n(\"unselected.textfont.color\"),l&&n(\"constraintext\"),u&&n(\"cliponaxis\"),c&&n(\"textangle\"),n(\"texttemplate\")}v&&f&&n(\"insidetextanchor\")}rye.exports={supplyDefaults:Lmt,crossTraceDefaults:Pmt,handleText:tye,validateCornerradius:eye}});var yV=ye((gor,iye)=>{\"use strict\";var Imt=ba(),Rmt=Qa(),Dmt=Mr(),zmt=DI(),Fmt=r0().validateCornerradius;iye.exports=function(e,t,r){function n(x,b){return Dmt.coerce(e,t,zmt,x,b)}for(var i=!1,a=!1,o=!1,s={},l=n(\"barmode\"),u=l===\"group\",c=0;c0&&!s[h]&&(o=!0),s[h]=!0),f.visible&&f.type===\"histogram\"){var d=Rmt.getFromId({_fullLayout:t},f[f.orientation===\"v\"?\"xaxis\":\"yaxis\"]);d.type!==\"category\"&&(a=!0)}}if(!i){delete t.barmode;return}l!==\"overlay\"&&n(\"barnorm\"),n(\"bargap\",a&&!o?0:.2),n(\"bargroupgap\");var v=n(\"barcornerradius\");t.barcornerradius=Fmt(v)}});var c4=ye((mor,nye)=>{\"use strict\";var bT=Mr();nye.exports=function(t,r){for(var n=0;n{\"use strict\";var aye=Qa(),oye=Rg(),sye=Dv().hasColorscale,lye=zv(),qmt=c4(),Omt=F0();uye.exports=function(t,r){var n=aye.getFromId(t,r.xaxis||\"x\"),i=aye.getFromId(t,r.yaxis||\"y\"),a,o,s,l,u,c,f={msUTC:!!(r.base||r.base===0)};r.orientation===\"h\"?(a=n.makeCalcdata(r,\"x\",f),s=i.makeCalcdata(r,\"y\"),l=oye(r,i,\"y\",s),u=!!r.yperiodalignment,c=\"y\"):(a=i.makeCalcdata(r,\"y\",f),s=n.makeCalcdata(r,\"x\"),l=oye(r,n,\"x\",s),u=!!r.xperiodalignment,c=\"x\"),o=l.vals;for(var h=Math.min(o.length,a.length),d=new Array(h),v=0;v{\"use strict\";var Bmt=xa(),Nmt=Mr();function Umt(e,t,r){var n=e._fullLayout,i=n[\"_\"+r+\"Text_minsize\"];if(i){var a=n.uniformtext.mode===\"hide\",o;switch(r){case\"funnelarea\":case\"pie\":case\"sunburst\":o=\"g.slice\";break;case\"treemap\":case\"icicle\":o=\"g.slice, g.pathbar\";break;default:o=\"g.points > g.point\"}t.selectAll(o).each(function(s){var l=s.transform;if(l){l.scale=a&&l.hide?0:i/l.fontSize;var u=Bmt.select(this).select(\"text\");Nmt.setTransormAndDisplay(u,l)}})}}function Vmt(e,t,r){if(r.uniformtext.mode){var n=fye(e),i=r.uniformtext.minsize,a=t.scale*t.fontSize;t.hide=a{\"use strict\";var Gmt=uo(),jmt=id(),dye=Mr().isArrayOrTypedArray;t2.coerceString=function(e,t,r){if(typeof t==\"string\"){if(t||!e.noBlank)return t}else if((typeof t==\"number\"||t===!0)&&!e.strict)return String(t);return r!==void 0?r:e.dflt};t2.coerceNumber=function(e,t,r){if(Gmt(t)){t=+t;var n=e.min,i=e.max,a=n!==void 0&&ti;if(!a)return t}return r!==void 0?r:e.dflt};t2.coerceColor=function(e,t,r){return jmt(t).isValid()?t:r!==void 0?r:e.dflt};t2.coerceEnumerated=function(e,t,r){return e.coerceNumber&&(t=+t),e.values.indexOf(t)!==-1?t:r!==void 0?r:e.dflt};t2.getValue=function(e,t){var r;return dye(e)?t{\"use strict\";var f4=xa(),Wmt=va(),h4=ao(),vye=Mr(),pye=ba(),gye=_v().resizeText,_V=Lm(),Zmt=_V.textfont,Xmt=_V.insidetextfont,Ymt=_V.outsidetextfont,Jd=qI();function Kmt(e){var t=f4.select(e).selectAll('g[class^=\"barlayer\"]').selectAll(\"g.trace\");gye(e,t,\"bar\");var r=t.size(),n=e._fullLayout;t.style(\"opacity\",function(i){return i[0].trace.opacity}).each(function(i){(n.barmode===\"stack\"&&r>1||n.bargap===0&&n.bargroupgap===0&&!i[0].trace.marker.line.width)&&f4.select(this).attr(\"shape-rendering\",\"crispEdges\")}),t.selectAll(\"g.points\").each(function(i){var a=f4.select(this),o=i[0].trace;mye(a,o,e)}),pye.getComponentMethod(\"errorbars\",\"style\")(t)}function mye(e,t,r){h4.pointStyle(e.selectAll(\"path\"),t,r),yye(e,t,r)}function yye(e,t,r){e.selectAll(\"text\").each(function(n){var i=f4.select(this),a=vye.ensureUniformFontSize(r,_ye(i,n,t,r));h4.font(i,a)})}function Jmt(e,t,r){var n=t[0].trace;n.selectedpoints?$mt(r,n,e):(mye(r,n,e),pye.getComponentMethod(\"errorbars\",\"style\")(r))}function $mt(e,t,r){h4.selectedPointStyle(e.selectAll(\"path\"),t),Qmt(e.selectAll(\"text\"),t,r)}function Qmt(e,t,r){e.each(function(n){var i=f4.select(this),a;if(n.selected){a=vye.ensureUniformFontSize(r,_ye(i,n,t,r));var o=t.selected.textfont&&t.selected.textfont.color;o&&(a.color=o),h4.font(i,a)}else h4.selectedTextStyle(i,t)})}function _ye(e,t,r,n){var i=n._fullLayout.font,a=r.textfont;if(e.classed(\"bartext-inside\")){var o=Tye(t,r);a=bye(r,t.i,i,o)}else e.classed(\"bartext-outside\")&&(a=wye(r,t.i,i));return a}function xye(e,t,r){return xV(Zmt,e.textfont,t,r)}function bye(e,t,r,n){var i=xye(e,t,r),a=e._input.textfont===void 0||e._input.textfont.color===void 0||Array.isArray(e.textfont.color)&&e.textfont.color[t]===void 0;return a&&(i={color:Wmt.contrast(n),family:i.family,size:i.size,weight:i.weight,style:i.style,variant:i.variant,textcase:i.textcase,lineposition:i.lineposition,shadow:i.shadow}),xV(Xmt,e.insidetextfont,t,i)}function wye(e,t,r){var n=xye(e,t,r);return xV(Ymt,e.outsidetextfont,t,n)}function xV(e,t,r,n){t=t||{};var i=Jd.getValue(t.family,r),a=Jd.getValue(t.size,r),o=Jd.getValue(t.color,r),s=Jd.getValue(t.weight,r),l=Jd.getValue(t.style,r),u=Jd.getValue(t.variant,r),c=Jd.getValue(t.textcase,r),f=Jd.getValue(t.lineposition,r),h=Jd.getValue(t.shadow,r);return{family:Jd.coerceString(e.family,i,n.family),size:Jd.coerceNumber(e.size,a,n.size),color:Jd.coerceColor(e.color,o,n.color),weight:Jd.coerceString(e.weight,s,n.weight),style:Jd.coerceString(e.style,l,n.style),variant:Jd.coerceString(e.variant,u,n.variant),textcase:Jd.coerceString(e.variant,c,n.textcase),lineposition:Jd.coerceString(e.variant,f,n.lineposition),shadow:Jd.coerceString(e.variant,h,n.shadow)}}function Tye(e,t){return t.type===\"waterfall\"?t[e.dir].marker.color:e.mcc||e.mc||t.marker.color}Aye.exports={style:Kmt,styleTextPoints:yye,styleOnSelect:Jmt,getInsideTextFont:bye,getOutsideTextFont:wye,getBarColor:Tye,resizeText:gye}});var i2=ye((wor,Iye)=>{\"use strict\";var OI=xa(),BI=uo(),Pd=Mr(),eyt=Ll(),tyt=va(),T_=ao(),ryt=ba(),NI=Qa().tickText,Sye=_v(),iyt=Sye.recordMinTextSize,nyt=Sye.clearMinTextSize,bV=N0(),wT=qI(),ayt=Qb(),Mye=Lm(),oyt=Mye.text,syt=Mye.textposition,lyt=rp().appendArrayPointValue,Uv=ayt.TEXTPAD;function uyt(e){return e.id}function cyt(e){if(e.ids)return uyt}function wV(e){return(e>0)-(e<0)}function Pm(e,t){return e0}function hyt(e,t,r,n,i,a){var o=t.xaxis,s=t.yaxis,l=e._fullLayout,u=e._context.staticPlot;i||(i={mode:l.barmode,norm:l.barmode,gap:l.bargap,groupgap:l.bargroupgap},nyt(\"bar\",l));var c=Pd.makeTraceGroups(n,r,\"trace bars\").each(function(f){var h=OI.select(this),d=f[0].trace,v=f[0].t,x=d.type===\"waterfall\",b=d.type===\"funnel\",g=d.type===\"histogram\",E=d.type===\"bar\",k=E||b,A=0;x&&d.connector.visible&&d.connector.mode===\"between\"&&(A=d.connector.line.width/2);var L=d.orientation===\"h\",_=kye(i),C=Pd.ensureSingle(h,\"g\",\"points\"),M=cyt(d),p=C.selectAll(\"g.point\").data(Pd.identity,M);p.enter().append(\"g\").classed(\"point\",!0),p.exit().remove(),p.each(function(T,F){var q=OI.select(this),V=fyt(T,o,s,L),H=V[0][0],X=V[0][1],G=V[1][0],N=V[1][1],W=(L?X-H:N-G)===0;W&&k&&wT.getLineWidth(d,T)&&(W=!1),W||(W=!BI(H)||!BI(X)||!BI(G)||!BI(N)),T.isBlank=W,W&&(L?X=H:N=G),A&&!W&&(L?(H-=Pm(H,X)*A,X+=Pm(H,X)*A):(G-=Pm(G,N)*A,N+=Pm(G,N)*A));var re,ae;if(d.type===\"waterfall\"){if(!W){var _e=d[T.dir].marker;re=_e.line.width,ae=_e.color}}else re=wT.getLineWidth(d,T),ae=T.mc||d.marker.color;function Me(Ke){var xt=OI.round(re/2%1,2);return i.gap===0&&i.groupgap===0?OI.round(Math.round(Ke)-xt,2):Ke}function ke(Ke,xt,bt){return bt&&Ke===xt?Ke:Math.abs(Ke-xt)>=2?Me(Ke):Ke>xt?Math.ceil(Ke):Math.floor(Ke)}var ge=tyt.opacity(ae),ie=ge<1||re>.01?Me:ke;e._context.staticPlot||(H=ie(H,X,L),X=ie(X,H,L),G=ie(G,N,!L),N=ie(N,G,!L));var Te=L?o.c2p:s.c2p,Ee;T.s0>0?Ee=T._sMax:T.s0<0?Ee=T._sMin:Ee=T.s1>0?T._sMax:T._sMin;function Ae(Ke,xt){if(!Ke)return 0;var bt=Math.abs(L?N-G:X-H),Lt=Math.abs(L?X-H:N-G),St=ie(Math.abs(Te(Ee,!0)-Te(0,!0))),Et=T.hasB?Math.min(bt/2,Lt/2):Math.min(bt/2,St),dt;if(xt===\"%\"){var Ht=Math.min(50,Ke);dt=bt*(Ht/100)}else dt=Ke;return ie(Math.max(Math.min(dt,Et),0))}var ze=E||g?Ae(v.cornerradiusvalue,v.cornerradiusform):0,Ce,me,Re=\"M\"+H+\",\"+G+\"V\"+N+\"H\"+X+\"V\"+G+\"Z\",ce=0;if(ze&&T.s){var Ge=wV(T.s0)===0||wV(T.s)===wV(T.s0)?T.s1:T.s0;if(ce=ie(T.hasB?0:Math.abs(Te(Ee,!0)-Te(Ge,!0))),ce0?Math.sqrt(ce*(2*ze-ce)):0,Rt=nt>0?Math.max:Math.min;Ce=\"M\"+H+\",\"+G+\"V\"+(N-rt*ct)+\"H\"+Rt(X-(ze-ce)*nt,H)+\"A \"+ze+\",\"+ze+\" 0 0 \"+qt+\" \"+X+\",\"+(N-ze*ct-ot)+\"V\"+(G+ze*ct+ot)+\"A \"+ze+\",\"+ze+\" 0 0 \"+qt+\" \"+Rt(X-(ze-ce)*nt,H)+\",\"+(G+rt*ct)+\"Z\"}else if(T.hasB)Ce=\"M\"+(H+ze*nt)+\",\"+G+\"A \"+ze+\",\"+ze+\" 0 0 \"+qt+\" \"+H+\",\"+(G+ze*ct)+\"V\"+(N-ze*ct)+\"A \"+ze+\",\"+ze+\" 0 0 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P=d.cliponaxis===!1;T_.setClipUrl(h,P?null:t.layerClipId,e)});ryt.getComponentMethod(\"errorbars\",\"plot\")(e,c,t,i)}function dyt(e,t,r,n,i,a,o,s,l,u,c,f,h){var d=t.xaxis,v=t.yaxis,x=e._fullLayout,b;function g(me,Re,ce){var Ge=Pd.ensureSingle(me,\"text\").text(Re).attr({class:\"bartext bartext-\"+b,\"text-anchor\":\"middle\",\"data-notex\":1}).call(T_.font,ce).call(eyt.convertToTspans,e);return Ge}var E=n[0].trace,k=E.orientation===\"h\",A=gyt(x,n,i,d,v);b=myt(E,i);var L=f.mode===\"stack\"||f.mode===\"relative\",_=n[i],C=!L||_._outmost,M=_.hasB,p=u&&u-c>Uv;if(!A||b===\"none\"||(_.isBlank||a===o||s===l)&&(b===\"auto\"||b===\"inside\")){r.select(\"text\").remove();return}var P=x.font,T=bV.getBarColor(n[i],E),F=bV.getInsideTextFont(E,i,P,T),q=bV.getOutsideTextFont(E,i,P),V=E.insidetextanchor||\"end\",H=r.datum();k?d.type===\"log\"&&H.s0<=0&&(d.range[0]0&&Me>0,ie;p?M?ie=r2(N-2*u,W,_e,Me,k)||r2(N,W-2*u,_e,Me,k):k?ie=r2(N-(u-c),W,_e,Me,k)||r2(N,W-2*(u-c),_e,Me,k):ie=r2(N,W-(u-c),_e,Me,k)||r2(N-2*(u-c),W,_e,Me,k):ie=r2(N,W,_e,Me,k),ge&&ie?b=\"inside\":(b=\"outside\",re.remove(),re=null)}else b=\"inside\";if(!re){ke=Pd.ensureUniformFontSize(e,b===\"outside\"?q:F),re=g(r,A,ke);var Te=re.attr(\"transform\");if(re.attr(\"transform\",\"\"),ae=T_.bBox(re.node()),_e=ae.width,Me=ae.height,re.attr(\"transform\",Te),_e<=0||Me<=0){re.remove();return}}var Ee=E.textangle,Ae,ze;b===\"outside\"?(ze=E.constraintext===\"both\"||E.constraintext===\"outside\",Ae=pyt(a,o,s,l,ae,{isHorizontal:k,constrained:ze,angle:Ee})):(ze=E.constraintext===\"both\"||E.constraintext===\"inside\",Ae=Pye(a,o,s,l,ae,{isHorizontal:k,constrained:ze,angle:Ee,anchor:V,hasB:M,r:u,overhead:c})),Ae.fontSize=ke.size,iyt(E.type===\"histogram\"?\"bar\":E.type,Ae,x),_.transform=Ae;var Ce=Eye(re,x,f,h);Pd.setTransormAndDisplay(Ce,Ae)}function r2(e,t,r,n,i){if(e<0||t<0)return!1;var a=r<=e&&n<=t,o=r<=t&&n<=e,s=i?e>=r*(t/n):t>=n*(e/r);return a||o||s}function Cye(e){return e===\"auto\"?0:e}function Lye(e,t){var r=Math.PI/180*t,n=Math.abs(Math.sin(r)),i=Math.abs(Math.cos(r));return{x:e.width*i+e.height*n,y:e.width*n+e.height*i}}function Pye(e,t,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,u=a.anchor,c=u===\"end\",f=u===\"start\",h=a.leftToRight||0,d=(h+1)/2,v=1-d,x=a.hasB,b=a.r,g=a.overhead,E=i.width,k=i.height,A=Math.abs(t-e),L=Math.abs(n-r),_=A>2*Uv&&L>2*Uv?Uv:0;A-=2*_,L-=2*_;var C=Cye(l);l===\"auto\"&&!(E<=A&&k<=L)&&(E>A||k>L)&&(!(E>L||k>A)||EUv){var T=vyt(e,t,r,n,M,b,g,o,x);p=T.scale,P=T.pad}else p=1,s&&(p=Math.min(1,A/M.x,L/M.y)),P=0;var F=i.left*v+i.right*d,q=(i.top+i.bottom)/2,V=(e+Uv)*v+(t-Uv)*d,H=(r+n)/2,X=0,G=0;if(f||c){var N=(o?M.x:M.y)/2;b&&(c||x)&&(_+=P);var W=o?Pm(e,t):Pm(r,n);o?f?(V=e+W*_,X=-W*N):(V=t-W*_,X=W*N):f?(H=r+W*_,G=-W*N):(H=n-W*_,G=W*N)}return{textX:F,textY:q,targetX:V,targetY:H,anchorX:X,anchorY:G,scale:p,rotate:C}}function vyt(e,t,r,n,i,a,o,s,l){var u=Math.max(0,Math.abs(t-e)-2*Uv),c=Math.max(0,Math.abs(n-r)-2*Uv),f=a-Uv,h=o?f-Math.sqrt(f*f-(f-o)*(f-o)):f,d=l?f*2:s?f-o:2*h,v=l?f*2:s?2*h:f-o,x,b,g,E,k;return i.y/i.x>=c/(u-d)?E=c/i.y:i.y/i.x<=(c-v)/u?E=u/i.x:!l&&s?(x=i.x*i.x+i.y*i.y/4,b=-2*i.x*(u-f)-i.y*(c/2-f),g=(u-f)*(u-f)+(c/2-f)*(c/2-f)-f*f,E=(-b+Math.sqrt(b*b-4*x*g))/(2*x)):l?(x=(i.x*i.x+i.y*i.y)/4,b=-i.x*(u/2-f)-i.y*(c/2-f),g=(u/2-f)*(u/2-f)+(c/2-f)*(c/2-f)-f*f,E=(-b+Math.sqrt(b*b-4*x*g))/(2*x)):(x=i.x*i.x/4+i.y*i.y,b=-i.x*(u/2-f)-2*i.y*(c-f),g=(u/2-f)*(u/2-f)+(c-f)*(c-f)-f*f,E=(-b+Math.sqrt(b*b-4*x*g))/(2*x)),E=Math.min(1,E),s?k=Math.max(0,f-Math.sqrt(Math.max(0,f*f-(f-(c-i.y*E)/2)*(f-(c-i.y*E)/2)))-o):k=Math.max(0,f-Math.sqrt(Math.max(0,f*f-(f-(u-i.x*E)/2)*(f-(u-i.x*E)/2)))-o),{scale:E,pad:k}}function pyt(e,t,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,u=i.width,c=i.height,f=Math.abs(t-e),h=Math.abs(n-r),d;o?d=h>2*Uv?Uv:0:d=f>2*Uv?Uv:0;var v=1;s&&(v=o?Math.min(1,h/c):Math.min(1,f/u));var x=Cye(l),b=Lye(i,x),g=(o?b.x:b.y)/2,E=(i.left+i.right)/2,k=(i.top+i.bottom)/2,A=(e+t)/2,L=(r+n)/2,_=0,C=0,M=o?Pm(t,e):Pm(r,n);return o?(A=t-M*d,_=M*g):(L=n+M*d,C=-M*g),{textX:E,textY:k,targetX:A,targetY:L,anchorX:_,anchorY:C,scale:v,rotate:x}}function gyt(e,t,r,n,i){var a=t[0].trace,o=a.texttemplate,s;return o?s=yyt(e,t,r,n,i):a.textinfo?s=_yt(t,r,n,i):s=wT.getValue(a.text,r),wT.coerceString(oyt,s)}function myt(e,t){var r=wT.getValue(e.textposition,t);return wT.coerceEnumerated(syt,r)}function yyt(e,t,r,n,i){var a=t[0].trace,o=Pd.castOption(a,r,\"texttemplate\");if(!o)return\"\";var s=a.type===\"histogram\",l=a.type===\"waterfall\",u=a.type===\"funnel\",c=a.orientation===\"h\",f,h,d,v;c?(f=\"y\",h=i,d=\"x\",v=n):(f=\"x\",h=n,d=\"y\",v=i);function x(_){return NI(h,h.c2l(_),!0).text}function b(_){return NI(v,v.c2l(_),!0).text}var g=t[r],E={};E.label=g.p,E.labelLabel=E[f+\"Label\"]=x(g.p);var k=Pd.castOption(a,g.i,\"text\");(k===0||k)&&(E.text=k),E.value=g.s,E.valueLabel=E[d+\"Label\"]=b(g.s);var A={};lyt(A,a,g.i),(s||A.x===void 0)&&(A.x=c?E.value:E.label),(s||A.y===void 0)&&(A.y=c?E.label:E.value),(s||A.xLabel===void 0)&&(A.xLabel=c?E.valueLabel:E.labelLabel),(s||A.yLabel===void 0)&&(A.yLabel=c?E.labelLabel:E.valueLabel),l&&(E.delta=+g.rawS||g.s,E.deltaLabel=b(E.delta),E.final=g.v,E.finalLabel=b(E.final),E.initial=E.final-E.delta,E.initialLabel=b(E.initial)),u&&(E.value=g.s,E.valueLabel=b(E.value),E.percentInitial=g.begR,E.percentInitialLabel=Pd.formatPercent(g.begR),E.percentPrevious=g.difR,E.percentPreviousLabel=Pd.formatPercent(g.difR),E.percentTotal=g.sumR,E.percenTotalLabel=Pd.formatPercent(g.sumR));var L=Pd.castOption(a,g.i,\"customdata\");return L&&(E.customdata=L),Pd.texttemplateString(o,E,e._d3locale,A,E,a._meta||{})}function _yt(e,t,r,n){var i=e[0].trace,a=i.orientation===\"h\",o=i.type===\"waterfall\",s=i.type===\"funnel\";function l(L){var _=a?n:r;return NI(_,L,!0).text}function u(L){var _=a?r:n;return NI(_,+L,!0).text}var c=i.textinfo,f=e[t],h=c.split(\"+\"),d=[],v,x=function(L){return h.indexOf(L)!==-1};if(x(\"label\")&&d.push(l(e[t].p)),x(\"text\")&&(v=Pd.castOption(i,f.i,\"text\"),(v===0||v)&&d.push(v)),o){var b=+f.rawS||f.s,g=f.v,E=g-b;x(\"initial\")&&d.push(u(E)),x(\"delta\")&&d.push(u(b)),x(\"final\")&&d.push(u(g))}if(s){x(\"value\")&&d.push(u(f.s));var k=0;x(\"percent initial\")&&k++,x(\"percent previous\")&&k++,x(\"percent total\")&&k++;var A=k>1;x(\"percent initial\")&&(v=Pd.formatPercent(f.begR),A&&(v+=\" of initial\"),d.push(v)),x(\"percent previous\")&&(v=Pd.formatPercent(f.difR),A&&(v+=\" of previous\"),d.push(v)),x(\"percent total\")&&(v=Pd.formatPercent(f.sumR),A&&(v+=\" of total\"),d.push(v))}return d.join(\"
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p4=ye((Cor,Xye)=>{\"use strict\";Xye.exports={boxmode:{valType:\"enumerated\",values:[\"group\",\"overlay\"],dflt:\"overlay\",editType:\"calc\"},boxgap:{valType:\"number\",min:0,max:1,dflt:.3,editType:\"calc\"},boxgroupgap:{valType:\"number\",min:0,max:1,dflt:.3,editType:\"calc\"}}});var m4=ye((Lor,$ye)=>{\"use strict\";var V0=Mr(),Cyt=ba(),Lyt=va(),Pyt=Pg(),Iyt=Hb(),Yye=L3(),g4=v4();function Ryt(e,t,r,n){function i(v,x){return V0.coerce(e,t,g4,v,x)}if(Kye(e,t,i,n),t.visible!==!1){Pyt(e,t,n,i),i(\"xhoverformat\"),i(\"yhoverformat\");var a=t._hasPreCompStats;a&&(i(\"lowerfence\"),i(\"upperfence\")),i(\"line.color\",(e.marker||{}).color||r),i(\"line.width\"),i(\"fillcolor\",Lyt.addOpacity(t.line.color,.5));var o=!1;if(a){var s=i(\"mean\"),l=i(\"sd\");s&&s.length&&(o=!0,l&&l.length&&(o=\"sd\"))}i(\"whiskerwidth\");var 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Fbe=ye((rlr,zbe)=>{\"use strict\";var Rbe=Mr(),Pxt=Sm(),zT=lu(),Ixt=$p(),Rxt=R0(),Dbe=J3(),Dxt=D0(),zxt=Ig(),Fxt=xH();zbe.exports=function(t,r,n,i){function a(h,d){return Rbe.coerce(t,r,Fxt,h,d)}var o=a(\"a\"),s=a(\"b\"),l=a(\"c\"),u;if(o?(u=o.length,s?(u=Math.min(u,s.length),l&&(u=Math.min(u,l.length))):l?u=Math.min(u,l.length):u=0):s&&l&&(u=Math.min(s.length,l.length)),!u){r.visible=!1;return}r._length=u,a(\"sum\"),a(\"text\"),a(\"hovertext\"),r.hoveron!==\"fills\"&&a(\"hovertemplate\");var c=u{\"use strict\";var bH=Qa();qbe.exports=function(t,r,n){var i={},a=n[r.subplot]._subplot;return i.aLabel=bH.tickText(a.aaxis,t.a,!0).text,i.bLabel=bH.tickText(a.baxis,t.b,!0).text,i.cLabel=bH.tickText(a.caxis,t.c,!0).text,i}});var Vbe=ye((nlr,Ube)=>{\"use strict\";var wH=uo(),qxt=z0(),Oxt=km(),Bxt=F0(),Nxt=q0().calcMarkerSize,Bbe=[\"a\",\"b\",\"c\"],Nbe={a:[\"b\",\"c\"],b:[\"a\",\"c\"],c:[\"a\",\"b\"]};Ube.exports=function(t,r){var 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IH=ye((glr,_2e)=>{\"use strict\";var LH=p4(),PH=Mr().extendFlat;_2e.exports={violinmode:PH({},LH.boxmode,{}),violingap:PH({},LH.boxgap,{}),violingroupgap:PH({},LH.boxgroupgap,{})}});var A2e=ye((mlr,T2e)=>{\"use strict\";var x2e=Mr(),wbt=va(),b2e=m4(),w2e=CH();T2e.exports=function(t,r,n,i){function a(L,_){return x2e.coerce(t,r,w2e,L,_)}function o(L,_){return x2e.coerce2(t,r,w2e,L,_)}if(b2e.handleSampleDefaults(t,r,a,i),r.visible!==!1){a(\"bandwidth\"),a(\"side\");var s=a(\"width\");s||(a(\"scalegroup\",r.name),a(\"scalemode\"));var l=a(\"span\"),u;Array.isArray(l)&&(u=\"manual\"),a(\"spanmode\",u);var c=a(\"line.color\",(t.marker||{}).color||n),f=a(\"line.width\"),h=a(\"fillcolor\",wbt.addOpacity(r.line.color,.5));b2e.handlePointsDefaults(t,r,a,{prefix:\"\"});var d=o(\"box.width\"),v=o(\"box.fillcolor\",h),x=o(\"box.line.color\",c),b=o(\"box.line.width\",f),g=a(\"box.visible\",!!(d||v||x||b));g||(r.box={visible:!1});var 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zH=xa(),FH=Mr(),Dbt=ao(),qH=GI(),zbt=fU(),Fbt=L8();R2e.exports=function(t,r,n,i){var a=t._context.staticPlot,o=t._fullLayout,s=r.xaxis,l=r.yaxis;function u(c,f){var h=zbt(c,{xaxis:s,yaxis:l,trace:f,connectGaps:!0,baseTolerance:.75,shape:\"spline\",simplify:!0,linearized:!0});return Dbt.smoothopen(h[0],1)}FH.makeTraceGroups(i,n,\"trace violins\").each(function(c){var f=zH.select(this),h=c[0],d=h.t,v=h.trace;if(v.visible!==!0||d.empty){f.remove();return}var x=d.bPos,b=d.bdPos,g=r[d.valLetter+\"axis\"],E=r[d.posLetter+\"axis\"],k=v.side===\"both\",A=k||v.side===\"positive\",L=k||v.side===\"negative\",_=f.selectAll(\"path.violin\").data(FH.identity);_.enter().append(\"path\").style(\"vector-effect\",a?\"none\":\"non-scaling-stroke\").attr(\"class\",\"violin\"),_.exit().remove(),_.each(function(V){var H=zH.select(this),X=V.density,G=X.length,N=E.c2l(V.pos+x,!0),W=E.l2p(N),re;if(v.width)re=d.maxKDE/b;else{var 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Obt=va(),OH=Mr(),Bbt=Qa(),O2e=PV(),B2e=L8();N2e.exports=function(t,r,n,i,a){a||(a={});var o=a.hoverLayer,s=t.cd,l=s[0].trace,u=l.hoveron,c=u.indexOf(\"violins\")!==-1,f=u.indexOf(\"kde\")!==-1,h=[],d,v;if(c||f){var x=O2e.hoverOnBoxes(t,r,n,i);if(f&&x.length>0){var b=t.xa,g=t.ya,E,k,A,L,_;l.orientation===\"h\"?(_=r,E=\"y\",A=g,k=\"x\",L=b):(_=n,E=\"x\",A=b,k=\"y\",L=g);var C=s[t.index];if(_>=C.span[0]&&_<=C.span[1]){var M=OH.extendFlat({},t),p=L.c2p(_,!0),P=B2e.getKdeValue(C,l,_),T=B2e.getPositionOnKdePath(C,l,p),F=A._offset,q=A._length;M[E+\"0\"]=T[0],M[E+\"1\"]=T[1],M[k+\"0\"]=M[k+\"1\"]=p,M[k+\"Label\"]=k+\": \"+Bbt.hoverLabelText(L,_,l[k+\"hoverformat\"])+\", \"+s[0].t.labels.kde+\" \"+P.toFixed(3);for(var V=0,H=0;H{\"use 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lc=Lm(),BH=Uc().line,Nbt=vl(),X2e=Oc().axisHoverFormat,Ubt=Wo().hovertemplateAttrs,Vbt=Wo().texttemplateAttrs,Y2e=Z2e(),Ny=no().extendFlat,Hbt=va();K2e.exports={x:lc.x,x0:lc.x0,dx:lc.dx,y:lc.y,y0:lc.y0,dy:lc.dy,xperiod:lc.xperiod,yperiod:lc.yperiod,xperiod0:lc.xperiod0,yperiod0:lc.yperiod0,xperiodalignment:lc.xperiodalignment,yperiodalignment:lc.yperiodalignment,xhoverformat:X2e(\"x\"),yhoverformat:X2e(\"y\"),hovertext:lc.hovertext,hovertemplate:Ubt({},{keys:Y2e.eventDataKeys}),hoverinfo:Ny({},Nbt.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"percent initial\",\"percent previous\",\"percent total\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"percent initial\",\"percent previous\",\"percent 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mwe=ye((Flr,gwe)=>{\"use strict\";var I4=xa(),pwe=ao(),jH=va(),o2t=N1().DESELECTDIM,s2t=N0(),l2t=_v().resizeText,u2t=s2t.styleTextPoints;function c2t(e,t,r){var n=r||I4.select(e).selectAll('g[class^=\"funnellayer\"]').selectAll(\"g.trace\");l2t(e,n,\"funnel\"),n.style(\"opacity\",function(i){return i[0].trace.opacity}),n.each(function(i){var a=I4.select(this),o=i[0].trace;a.selectAll(\".point > path\").each(function(s){if(!s.isBlank){var l=o.marker;I4.select(this).call(jH.fill,s.mc||l.color).call(jH.stroke,s.mlc||l.line.color).call(pwe.dashLine,l.line.dash,s.mlw||l.line.width).style(\"opacity\",o.selectedpoints&&!s.selected?o2t:1)}}),u2t(a,o,e),a.selectAll(\".regions\").each(function(){I4.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(jH.fill,o.connector.fillcolor)}),a.selectAll(\".lines\").each(function(){var s=o.connector.line;pwe.lineGroupStyle(I4.select(this).selectAll(\"path\"),s.width,s.color,s.dash)})})}gwe.exports={style:c2t}});var xwe=ye((qlr,_we)=>{\"use 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Mwe=ye((Nlr,Swe)=>{\"use strict\";Swe.exports=Awe()});var kwe=ye((Ulr,Ewe)=>{\"use strict\";Ewe.exports={eventDataKeys:[\"initial\",\"delta\",\"final\"]}});var YH=ye((Vlr,Pwe)=>{\"use strict\";var Uu=Lm(),ZH=Uc().line,d2t=vl(),Cwe=Oc().axisHoverFormat,v2t=Wo().hovertemplateAttrs,p2t=Wo().texttemplateAttrs,Lwe=kwe(),VT=no().extendFlat,g2t=va();function 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n=String.fromCharCode.apply(null,this.input.subarray(0,4));if(n!==\"II*\\0\"&&n!==\"MM\\0*\")throw tD(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=n[0]===\"M\"}jy.prototype.each=function(e){this.aborted=!1;var t=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:t}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,e)}};jy.prototype.read_uint16=function(e){var t=this.input;if(e+2>t.length)throw tD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*256+t[e+1]:t[e]+t[e+1]*256};jy.prototype.read_uint32=function(e){var t=this.input;if(e+4>t.length)throw tD(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?t[e]*16777216+t[e+1]*65536+t[e+2]*256+t[e+3]:t[e]+t[e+1]*256+t[e+2]*65536+t[e+3]*16777216};jy.prototype.is_subifd_link=function(e,t){return e===0&&t===34665||e===0&&t===34853||e===34665&&t===40965};jy.prototype.exif_format_length=function(e){switch(e){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}};jy.prototype.exif_format_read=function(e,t){var r;switch(e){case 1:case 2:return r=this.input[t],r;case 6:return r=this.input[t],r|(r&128)*33554430;case 3:return r=this.read_uint16(t),r;case 8:return r=this.read_uint16(t),r|(r&32768)*131070;case 4:return r=this.read_uint32(t),r;case 9:return r=this.read_uint32(t),r|0;case 5:case 10:case 11:case 12:return null;case 7:return null;default:return null}};jy.prototype.scan_ifd=function(e,t,r){var n=this.read_uint16(t);t+=2;for(var i=0;ithis.input.length)throw tD(\"unexpected EOF\",\"EBADDATA\");for(var h=[],d=c,v=0;v0&&(this.ifds_to_read.push({id:a,offset:h[0]}),f=!0);var b={is_big_endian:this.big_endian,ifd:e,tag:a,format:o,count:s,entry_offset:t+this.start,data_length:u,data_offset:c+this.start,value:h,is_subifd_link:f};if(r(b)===!1){this.aborted=!0;return}t+=12}e===0&&this.ifds_to_read.push({id:1,offset:this.read_uint32(t)})};Xj.exports.ExifParser=jy;Xj.exports.get_orientation=function(e){var t=0;try{return new jy(e,0,e.length).each(function(r){if(r.ifd===0&&r.tag===274&&Array.isArray(r.value))return t=r.value[0],!1}),t}catch(r){return-1}}});var qMe=ye((Ccr,FMe)=>{\"use strict\";var c4t=Eu().str2arr,f4t=Eu().sliceEq,h4t=Eu().readUInt32BE,iD=zMe(),d4t=rD(),v4t=c4t(\"ftyp\");FMe.exports=function(e){if(f4t(e,4,v4t)){var t=iD.unbox(e,0);if(t){var r=iD.getMimeType(t.data);if(r){for(var n,i=t.end;;){var a=iD.unbox(e,i);if(!a)break;if(i=a.end,a.boxtype===\"mdat\")return;if(a.boxtype===\"meta\"){n=a.data;break}}if(n){var o=iD.readSizeFromMeta(n);if(o){var 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HMe=Eu().str2arr,UMe=Eu().sliceEq,VMe=Eu().readUInt16LE,y4t=HMe(\"GIF87a\"),_4t=HMe(\"GIF89a\");GMe.exports=function(e){if(!(e.length<10)&&!(!UMe(e,0,y4t)&&!UMe(e,0,_4t)))return{width:VMe(e,6),height:VMe(e,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}});var XMe=ye((Icr,ZMe)=>{\"use strict\";var Yj=Eu().readUInt16LE,x4t=0,b4t=1,WMe=16;ZMe.exports=function(e){var t=Yj(e,0),r=Yj(e,2),n=Yj(e,4);if(!(t!==x4t||r!==b4t||!n)){for(var i=[],a={width:0,height:0},o=0;oa.width||l>a.height)&&(a=u)}return{width:a.width,height:a.height,variants:i,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}});var KMe=ye((Rcr,YMe)=>{\"use strict\";var Kj=Eu().readUInt16BE,w4t=Eu().str2arr,T4t=Eu().sliceEq,A4t=rD(),S4t=w4t(\"Exif\\0\\0\");YMe.exports=function(e){if(!(e.length<2)&&!(e[0]!==255||e[1]!==216||e[2]!==255))for(var t=2;;){for(;;){if(e.length-t<2)return;if(e[t++]===255)break}for(var r=e[t++],n;r===255;)r=e[t++];if(208<=r&&r<=217||r===1)n=0;else 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strict\";q4e.exports={attributes:tG(),supplyDefaults:y3e(),calc:S4e(),plot:k4e(),style:L4e(),hoverPoints:D4e(),eventData:F4e(),moduleType:\"trace\",name:\"image\",basePlotModule:Jf(),categories:[\"cartesian\",\"svg\",\"2dMap\",\"noSortingByValue\"],animatable:!1,meta:{}}});var N4e=ye((Xcr,B4e)=>{\"use strict\";B4e.exports=O4e()});var A2=ye((Ycr,U4e)=>{\"use strict\";var pEt=vl(),gEt=Ju().attributes,mEt=Su(),yEt=dh(),_Et=Wo().hovertemplateAttrs,xEt=Wo().texttemplateAttrs,bE=no().extendFlat,bEt=Ed().pattern,sD=mEt({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});U4e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:yEt.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:bEt,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:bE({},pEt.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:_Et({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:xEt({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:bE({},sD,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:bE({},sD,{}),outsidetextfont:bE({},sD,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:bE({},sD,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:gEt({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"}}});var S2=ye((Kcr,G4e)=>{\"use strict\";var wEt=uo(),wE=Mr(),TEt=A2(),AEt=Ju().defaults,SEt=r0().handleText,MEt=Mr().coercePattern;function V4e(e,t){var r=wE.isArrayOrTypedArray(e),n=wE.isArrayOrTypedArray(t),i=Math.min(r?e.length:1/0,n?t.length:1/0);if(isFinite(i)||(i=0),i&&n){for(var a,o=0;o0){a=!0;break}}a||(i=0)}return{hasLabels:r,hasValues:n,len:i}}function H4e(e,t,r,n,i){var a=n(\"marker.line.width\");a&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var o=n(\"marker.colors\");MEt(n,\"marker.pattern\",o),e.marker&&!t.marker.pattern.fgcolor&&(t.marker.pattern.fgcolor=e.marker.colors),t.marker.pattern.bgcolor||(t.marker.pattern.bgcolor=r.paper_bgcolor)}function EEt(e,t,r,n){function i(E,k){return wE.coerce(e,t,TEt,E,k)}var a=i(\"labels\"),o=i(\"values\"),s=V4e(a,o),l=s.len;if(t._hasLabels=s.hasLabels,t._hasValues=s.hasValues,!t._hasLabels&&t._hasValues&&(i(\"label0\"),i(\"dlabel\")),!l){t.visible=!1;return}t._length=l,H4e(e,t,n,i,!0),i(\"scalegroup\");var u=i(\"text\"),c=i(\"texttemplate\"),f;if(c||(f=i(\"textinfo\",wE.isArrayOrTypedArray(u)?\"text+percent\":\"percent\")),i(\"hovertext\"),i(\"hovertemplate\"),c||f&&f!==\"none\"){var h=i(\"textposition\");SEt(e,t,n,i,h,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1});var d=Array.isArray(h)||h===\"auto\",v=d||h===\"outside\";v&&i(\"automargin\"),(h===\"inside\"||h===\"auto\"||Array.isArray(h))&&i(\"insidetextorientation\")}else f===\"none\"&&i(\"textposition\",\"none\");AEt(t,n,i);var x=i(\"hole\"),b=i(\"title.text\");if(b){var g=i(\"title.position\",x?\"middle center\":\"top center\");!x&&g===\"middle center\"&&(t.title.position=\"top center\"),wE.coerceFont(i,\"title.font\",n.font)}i(\"sort\"),i(\"direction\"),i(\"rotation\"),i(\"pull\")}G4e.exports={handleLabelsAndValues:V4e,handleMarkerDefaults:H4e,supplyDefaults:EEt}});var lD=ye((Jcr,j4e)=>{\"use strict\";j4e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}});var Z4e=ye(($cr,W4e)=>{\"use strict\";var kEt=Mr(),CEt=lD();W4e.exports=function(t,r){function n(i,a){return kEt.coerce(t,r,CEt,i,a)}n(\"hiddenlabels\"),n(\"piecolorway\",r.colorway),n(\"extendpiecolors\")}});var y5=ye((Qcr,K4e)=>{\"use strict\";var LEt=uo(),tW=id(),PEt=va(),IEt={};function REt(e,t){var r=[],n=e._fullLayout,i=n.hiddenlabels||[],a=t.labels,o=t.marker.colors||[],s=t.values,l=t._length,u=t._hasValues&&l,c,f;if(t.dlabel)for(a=new Array(l),c=0;c=0});var A=t.type===\"funnelarea\"?x:t.sort;return A&&r.sort(function(L,_){return _.v-L.v}),r[0]&&(r[0].vTotal=v),r}function X4e(e){return function(r,n){return!r||(r=tW(r),!r.isValid())?!1:(r=PEt.addOpacity(r,r.getAlpha()),e[n]||(e[n]=r),r)}}function DEt(e,t){var r=(t||{}).type;r||(r=\"pie\");var n=e._fullLayout,i=e.calcdata,a=n[r+\"colorway\"],o=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=Y4e(a,IEt));for(var s=0,l=0;l{\"use strict\";var zEt=rp().appendArrayMultiPointValues;J4e.exports=function(t,r){var n={curveNumber:r.index,pointNumbers:t.pts,data:r._input,fullData:r,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return t.pts.length===1&&(n.pointNumber=n.i=t.pts[0]),zEt(n,r,t.pts),r.type===\"funnelarea\"&&(delete n.v,delete n.i),n}});var hD=ye((tfr,_Ee)=>{\"use strict\";var zp=xa(),FEt=Xu(),uD=Nc(),nEe=va(),Wy=ao(),ev=Mr(),qEt=ev.strScale,Q4e=ev.strTranslate,rW=Ll(),aEe=_v(),OEt=aEe.recordMinTextSize,BEt=aEe.clearMinTextSize,oEe=Qb().TEXTPAD,Zo=l_(),cD=$4e(),eEe=Mr().isValidTextValue;function NEt(e,t){var r=e._context.staticPlot,n=e._fullLayout,i=n._size;BEt(\"pie\",n),uEe(t,e),gEe(t,i);var a=ev.makeTraceGroups(n._pielayer,t,\"trace\").each(function(o){var s=zp.select(this),l=o[0],u=l.trace;YEt(o),s.attr(\"stroke-linejoin\",\"round\"),s.each(function(){var c=zp.select(this).selectAll(\"g.slice\").data(o);c.enter().append(\"g\").classed(\"slice\",!0),c.exit().remove();var f=[[[],[]],[[],[]]],h=!1;c.each(function(A,L){if(A.hidden){zp.select(this).selectAll(\"path,g\").remove();return}A.pointNumber=A.i,A.curveNumber=u.index,f[A.pxmid[1]<0?0:1][A.pxmid[0]<0?0:1].push(A);var _=l.cx,C=l.cy,M=zp.select(this),p=M.selectAll(\"path.surface\").data([A]);if(p.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),M.call(sEe,e,o),u.pull){var P=+Zo.castOption(u.pull,A.pts)||0;P>0&&(_+=P*A.pxmid[0],C+=P*A.pxmid[1])}A.cxFinal=_,A.cyFinal=C;function T(N,W,re,ae){var _e=ae*(W[0]-N[0]),Me=ae*(W[1]-N[1]);return\"a\"+ae*l.r+\",\"+ae*l.r+\" 0 \"+A.largeArc+(re?\" 1 \":\" 0 \")+_e+\",\"+Me}var F=u.hole;if(A.v===l.vTotal){var q=\"M\"+(_+A.px0[0])+\",\"+(C+A.px0[1])+T(A.px0,A.pxmid,!0,1)+T(A.pxmid,A.px0,!0,1)+\"Z\";F?p.attr(\"d\",\"M\"+(_+F*A.px0[0])+\",\"+(C+F*A.px0[1])+T(A.px0,A.pxmid,!1,F)+T(A.pxmid,A.px0,!1,F)+\"Z\"+q):p.attr(\"d\",q)}else{var V=T(A.px0,A.px1,!0,1);if(F){var H=1-F;p.attr(\"d\",\"M\"+(_+F*A.px1[0])+\",\"+(C+F*A.px1[1])+T(A.px1,A.px0,!1,F)+\"l\"+H*A.px0[0]+\",\"+H*A.px0[1]+V+\"Z\")}else p.attr(\"d\",\"M\"+_+\",\"+C+\"l\"+A.px0[0]+\",\"+A.px0[1]+V+\"Z\")}mEe(e,A,l);var X=Zo.castOption(u.textposition,A.pts),G=M.selectAll(\"g.slicetext\").data(A.text&&X!==\"none\"?[0]:[]);G.enter().append(\"g\").classed(\"slicetext\",!0),G.exit().remove(),G.each(function(){var N=ev.ensureSingle(zp.select(this),\"text\",\"\",function(ie){ie.attr(\"data-notex\",1)}),W=ev.ensureUniformFontSize(e,X===\"outside\"?VEt(u,A,n.font):lEe(u,A,n.font));N.text(A.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(Wy.font,W).call(rW.convertToTspans,e);var re=Wy.bBox(N.node()),ae;if(X===\"outside\")ae=iEe(re,A);else if(ae=cEe(re,A,l),X===\"auto\"&&ae.scale<1){var _e=ev.ensureUniformFontSize(e,u.outsidetextfont);N.call(Wy.font,_e),re=Wy.bBox(N.node()),ae=iEe(re,A)}var Me=ae.textPosAngle,ke=Me===void 0?A.pxmid:fD(l.r,Me);if(ae.targetX=_+ke[0]*ae.rCenter+(ae.x||0),ae.targetY=C+ke[1]*ae.rCenter+(ae.y||0),yEe(ae,re),ae.outside){var ge=ae.targetY;A.yLabelMin=ge-re.height/2,A.yLabelMid=ge,A.yLabelMax=ge+re.height/2,A.labelExtraX=0,A.labelExtraY=0,h=!0}ae.fontSize=W.size,OEt(u.type,ae,n),o[L].transform=ae,ev.setTransormAndDisplay(N,ae)})});var d=zp.select(this).selectAll(\"g.titletext\").data(u.title.text?[0]:[]);if(d.enter().append(\"g\").classed(\"titletext\",!0),d.exit().remove(),d.each(function(){var A=ev.ensureSingle(zp.select(this),\"text\",\"\",function(C){C.attr(\"data-notex\",1)}),L=u.title.text;u._meta&&(L=ev.templateString(L,u._meta)),A.text(L).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(Wy.font,u.title.font).call(rW.convertToTspans,e);var _;u.title.position===\"middle center\"?_=jEt(l):_=vEe(l,i),A.attr(\"transform\",Q4e(_.x,_.y)+qEt(Math.min(1,_.scale))+Q4e(_.tx,_.ty))}),h&&ZEt(f,u),UEt(c,u),h&&u.automargin){var v=Wy.bBox(s.node()),x=u.domain,b=i.w*(x.x[1]-x.x[0]),g=i.h*(x.y[1]-x.y[0]),E=(.5*b-l.r)/i.w,k=(.5*g-l.r)/i.h;FEt.autoMargin(e,\"pie.\"+u.uid+\".automargin\",{xl:x.x[0]-E,xr:x.x[1]+E,yb:x.y[0]-k,yt:x.y[1]+k,l:Math.max(l.cx-l.r-v.left,0),r:Math.max(v.right-(l.cx+l.r),0),b:Math.max(v.bottom-(l.cy+l.r),0),t:Math.max(l.cy-l.r-v.top,0),pad:5})}})});setTimeout(function(){a.selectAll(\"tspan\").each(function(){var o=zp.select(this);o.attr(\"dy\")&&o.attr(\"dy\",o.attr(\"dy\"))})},0)}function UEt(e,t){e.each(function(r){var n=zp.select(this);if(!r.labelExtraX&&!r.labelExtraY){n.select(\"path.textline\").remove();return}var i=n.select(\"g.slicetext text\");r.transform.targetX+=r.labelExtraX,r.transform.targetY+=r.labelExtraY,ev.setTransormAndDisplay(i,r.transform);var a=r.cxFinal+r.pxmid[0],o=r.cyFinal+r.pxmid[1],s=\"M\"+a+\",\"+o,l=(r.yLabelMax-r.yLabelMin)*(r.pxmid[0]<0?-1:1)/4;if(r.labelExtraX){var u=r.labelExtraX*r.pxmid[1]/r.pxmid[0],c=r.yLabelMid+r.labelExtraY-(r.cyFinal+r.pxmid[1]);Math.abs(u)>Math.abs(c)?s+=\"l\"+c*r.pxmid[0]/r.pxmid[1]+\",\"+c+\"H\"+(a+r.labelExtraX+l):s+=\"l\"+r.labelExtraX+\",\"+u+\"v\"+(c-u)+\"h\"+l}else s+=\"V\"+(r.yLabelMid+r.labelExtraY)+\"h\"+l;ev.ensureSingle(n,\"path\",\"textline\").call(nEe.stroke,t.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,t.outsidetextfont.size/8),d:s,fill:\"none\"})})}function sEe(e,t,r){var n=r[0],i=n.cx,a=n.cy,o=n.trace,s=o.type===\"funnelarea\";\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),e.on(\"mouseover\",function(l){var u=t._fullLayout,c=t._fullData[o.index];if(!(t._dragging||u.hovermode===!1)){var f=c.hoverinfo;if(Array.isArray(f)&&(f=uD.castHoverinfo({hoverinfo:[Zo.castOption(f,l.pts)],_module:o._module},u,0)),f===\"all\"&&(f=\"label+text+value+percent+name\"),c.hovertemplate||f!==\"none\"&&f!==\"skip\"&&f){var h=l.rInscribed||0,d=i+l.pxmid[0]*(1-h),v=a+l.pxmid[1]*(1-h),x=u.separators,b=[];if(f&&f.indexOf(\"label\")!==-1&&b.push(l.label),l.text=Zo.castOption(c.hovertext||c.text,l.pts),f&&f.indexOf(\"text\")!==-1){var g=l.text;ev.isValidTextValue(g)&&b.push(g)}l.value=l.v,l.valueLabel=Zo.formatPieValue(l.v,x),f&&f.indexOf(\"value\")!==-1&&b.push(l.valueLabel),l.percent=l.v/n.vTotal,l.percentLabel=Zo.formatPiePercent(l.percent,x),f&&f.indexOf(\"percent\")!==-1&&b.push(l.percentLabel);var E=c.hoverlabel,k=E.font,A=[];uD.loneHover({trace:o,x0:d-h*n.r,x1:d+h*n.r,y:v,_x0:s?i+l.TL[0]:d-h*n.r,_x1:s?i+l.TR[0]:d+h*n.r,_y0:s?a+l.TL[1]:v-h*n.r,_y1:s?a+l.BL[1]:v+h*n.r,text:b.join(\"
\"),name:c.hovertemplate||f.indexOf(\"name\")!==-1?c.name:void 0,idealAlign:l.pxmid[0]<0?\"left\":\"right\",color:Zo.castOption(E.bgcolor,l.pts)||l.color,borderColor:Zo.castOption(E.bordercolor,l.pts),fontFamily:Zo.castOption(k.family,l.pts),fontSize:Zo.castOption(k.size,l.pts),fontColor:Zo.castOption(k.color,l.pts),nameLength:Zo.castOption(E.namelength,l.pts),textAlign:Zo.castOption(E.align,l.pts),hovertemplate:Zo.castOption(c.hovertemplate,l.pts),hovertemplateLabels:l,eventData:[cD(l,c)]},{container:u._hoverlayer.node(),outerContainer:u._paper.node(),gd:t,inOut_bbox:A}),l.bbox=A[0],o._hasHoverLabel=!0}o._hasHoverEvent=!0,t.emit(\"plotly_hover\",{points:[cD(l,c)],event:zp.event})}}),e.on(\"mouseout\",function(l){var u=t._fullLayout,c=t._fullData[o.index],f=zp.select(this).datum();o._hasHoverEvent&&(l.originalEvent=zp.event,t.emit(\"plotly_unhover\",{points:[cD(f,c)],event:zp.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(uD.loneUnhover(u._hoverlayer.node()),o._hasHoverLabel=!1)}),e.on(\"click\",function(l){var u=t._fullLayout,c=t._fullData[o.index];t._dragging||u.hovermode===!1||(t._hoverdata=[cD(l,c)],uD.click(t,zp.event))})}function VEt(e,t,r){var n=Zo.castOption(e.outsidetextfont.color,t.pts)||Zo.castOption(e.textfont.color,t.pts)||r.color,i=Zo.castOption(e.outsidetextfont.family,t.pts)||Zo.castOption(e.textfont.family,t.pts)||r.family,a=Zo.castOption(e.outsidetextfont.size,t.pts)||Zo.castOption(e.textfont.size,t.pts)||r.size,o=Zo.castOption(e.outsidetextfont.weight,t.pts)||Zo.castOption(e.textfont.weight,t.pts)||r.weight,s=Zo.castOption(e.outsidetextfont.style,t.pts)||Zo.castOption(e.textfont.style,t.pts)||r.style,l=Zo.castOption(e.outsidetextfont.variant,t.pts)||Zo.castOption(e.textfont.variant,t.pts)||r.variant,u=Zo.castOption(e.outsidetextfont.textcase,t.pts)||Zo.castOption(e.textfont.textcase,t.pts)||r.textcase,c=Zo.castOption(e.outsidetextfont.lineposition,t.pts)||Zo.castOption(e.textfont.lineposition,t.pts)||r.lineposition,f=Zo.castOption(e.outsidetextfont.shadow,t.pts)||Zo.castOption(e.textfont.shadow,t.pts)||r.shadow;return{color:n,family:i,size:a,weight:o,style:s,variant:l,textcase:u,lineposition:c,shadow:f}}function lEe(e,t,r){var n=Zo.castOption(e.insidetextfont.color,t.pts);!n&&e._input.textfont&&(n=Zo.castOption(e._input.textfont.color,t.pts));var i=Zo.castOption(e.insidetextfont.family,t.pts)||Zo.castOption(e.textfont.family,t.pts)||r.family,a=Zo.castOption(e.insidetextfont.size,t.pts)||Zo.castOption(e.textfont.size,t.pts)||r.size,o=Zo.castOption(e.insidetextfont.weight,t.pts)||Zo.castOption(e.textfont.weight,t.pts)||r.weight,s=Zo.castOption(e.insidetextfont.style,t.pts)||Zo.castOption(e.textfont.style,t.pts)||r.style,l=Zo.castOption(e.insidetextfont.variant,t.pts)||Zo.castOption(e.textfont.variant,t.pts)||r.variant,u=Zo.castOption(e.insidetextfont.textcase,t.pts)||Zo.castOption(e.textfont.textcase,t.pts)||r.textcase,c=Zo.castOption(e.insidetextfont.lineposition,t.pts)||Zo.castOption(e.textfont.lineposition,t.pts)||r.lineposition,f=Zo.castOption(e.insidetextfont.shadow,t.pts)||Zo.castOption(e.textfont.shadow,t.pts)||r.shadow;return{color:n||nEe.contrast(t.color),family:i,size:a,weight:o,style:s,variant:l,textcase:u,lineposition:c,shadow:f}}function uEe(e,t){for(var r,n,i=0;i=-4;E-=2)g(Math.PI*E,\"tan\");for(E=4;E>=-4;E-=2)g(Math.PI*(E+1),\"tan\")}if(f||d){for(E=4;E>=-4;E-=2)g(Math.PI*(E+1.5),\"rad\");for(E=4;E>=-4;E-=2)g(Math.PI*(E+.5),\"rad\")}}if(s||v||f){var k=Math.sqrt(e.width*e.width+e.height*e.height);if(b={scale:i*n*2/k,rCenter:1-i,rotate:0},b.textPosAngle=(t.startangle+t.stopangle)/2,b.scale>=1)return b;x.push(b)}(v||d)&&(b=tEe(e,n,o,l,u),b.textPosAngle=(t.startangle+t.stopangle)/2,x.push(b)),(v||h)&&(b=rEe(e,n,o,l,u),b.textPosAngle=(t.startangle+t.stopangle)/2,x.push(b));for(var A=0,L=0,_=0;_=1)break}return x[A]}function HEt(e,t){var r=e.startangle,n=e.stopangle;return r>t&&t>n||r0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function jEt(e){var t=Math.sqrt(e.titleBox.width*e.titleBox.width+e.titleBox.height*e.titleBox.height);return{x:e.cx,y:e.cy,scale:e.trace.hole*e.r*2/t,tx:0,ty:-e.titleBox.height/2+e.trace.title.font.size}}function vEe(e,t){var 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H(ce(Ge))}}):Te.attr(\"d\",H),ie.call(sCt,h,e,t,{eventDataKeys:CW.eventDataKeys,transitionTime:CW.CLICK_TRANSITION_TIME,transitionEasing:CW.CLICK_TRANSITION_EASING}).call(sl.setSliceCursor,e,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:e._transitioning}),Te.call(aCt,ge,c,e);var Ee=bv.ensureSingle(ie,\"g\",\"slicetext\"),Ae=bv.ensureSingle(Ee,\"text\",\"\",function(Re){Re.attr(\"data-notex\",1)}),ze=bv.ensureUniformFontSize(e,sl.determineTextFont(c,ge,a.font));Ae.text(DD.formatSliceLabel(ge,h,c,t,a)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(uCe.font,ze).call(eCt.convertToTspans,e);var Ce=uCe.bBox(Ae.node());ge.transform=nCt(Ce,ge,u),ge.transform.targetX=X(ge),ge.transform.targetY=G(ge);var me=function(Re,ce){var Ge=Re.transform;return iCt(Ge,ce),Ge.fontSize=ze.size,cCe(c.type,Ge,a),bv.getTextTransform(Ge)};o?Ae.transition().attrTween(\"transform\",function(Re){var ce=Me(Re);return function(Ge){return me(ce(Ge),Ce)}}):Ae.attr(\"transform\",me(ge,Ce))});function ae(ge){var ie=sl.getPtId(ge),Te=_[ie],Ee=_[sl.getPtId(h)],Ae;if(Ee){var ze=(ge.x1>Ee.x1?2*Math.PI:0)+T;Ae=ge.rpx1N?2*Math.PI:0)+T;Te={x0:Ae,x1:Ae}}else Te={rpx0:E,rpx1:E},bv.extendFlat(Te,ke(ge));else Te={rpx0:0,rpx1:0};else Te={x0:T,x1:T};return Xg(Te,Ee)}function Me(ge){var ie=_[sl.getPtId(ge)],Te,Ee=ge.transform;if(ie)Te=ie;else if(Te={rpx1:ge.rpx1,transform:{textPosAngle:Ee.textPosAngle,scale:0,rotate:Ee.rotate,rCenter:Ee.rCenter,x:Ee.x,y:Ee.y}},L)if(ge.parent)if(N){var Ae=ge.x1>N?2*Math.PI:0;Te.x0=Te.x1=Ae}else bv.extendFlat(Te,ke(ge));else Te.x0=Te.x1=T;else Te.x0=Te.x1=T;var ze=Xg(Te.transform.textPosAngle,ge.transform.textPosAngle),Ce=Xg(Te.rpx1,ge.rpx1),me=Xg(Te.x0,ge.x0),Re=Xg(Te.x1,ge.x1),ce=Xg(Te.transform.scale,Ee.scale),Ge=Xg(Te.transform.rotate,Ee.rotate),nt=Ee.rCenter===0?3:Te.transform.rCenter===0?1/3:1,ct=Xg(Te.transform.rCenter,Ee.rCenter),qt=function(rt){return ct(Math.pow(rt,nt))};return function(rt){var ot=Ce(rt),Rt=me(rt),kt=Re(rt),Ct=qt(rt),Yt=V(ot,(Rt+kt)/2),xr=ze(rt),er={pxmid:Yt,rpx1:ot,transform:{textPosAngle:xr,rCenter:Ct,x:Ee.x,y:Ee.y}};return cCe(c.type,Ee,a),{transform:{targetX:X(er),targetY:G(er),scale:ce(rt),rotate:Ge(rt),rCenter:Ct}}}}function ke(ge){var ie=ge.parent,Te=_[sl.getPtId(ie)],Ee={};if(Te){var Ae=ie.children,ze=Ae.indexOf(ge),Ce=Ae.length,me=Xg(Te.x0,Te.x1);Ee.x0=me(ze/Ce),Ee.x1=me(ze/Ce)}else Ee.x0=Ee.x1=0;return Ee}}function lCt(e){return Qkt.partition().size([2*Math.PI,e.height+1])(e)}DD.formatSliceLabel=function(e,t,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!a&&(!o||o===\"none\"))return\"\";var s=i.separators,l=n[0],u=e.data.data,c=l.hierarchy,f=sl.isHierarchyRoot(e),h=sl.getParent(c,e),d=sl.getValue(e);if(!a){var v=o.split(\"+\"),x=function(p){return v.indexOf(p)!==-1},b=[],g;if(x(\"label\")&&u.label&&b.push(u.label),u.hasOwnProperty(\"v\")&&x(\"value\")&&b.push(sl.formatValue(u.v,s)),!f){x(\"current path\")&&b.push(sl.getPath(e.data));var E=0;x(\"percent parent\")&&E++,x(\"percent entry\")&&E++,x(\"percent root\")&&E++;var k=E>1;if(E){var A,L=function(p){g=sl.formatPercent(A,s),k&&(g+=\" of \"+p),b.push(g)};x(\"percent parent\")&&!f&&(A=d/sl.getValue(h),L(\"parent\")),x(\"percent entry\")&&(A=d/sl.getValue(t),L(\"entry\")),x(\"percent root\")&&(A=d/sl.getValue(c),L(\"root\"))}}return x(\"text\")&&(g=bv.castOption(r,u.i,\"text\"),bv.isValidTextValue(g)&&b.push(g)),b.join(\"
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cCt(e,t){return[e*Math.sin(t),-e*Math.cos(t)]}});var gCe=ye((odr,pCe)=>{\"use strict\";pCe.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:LEe(),categories:[],animatable:!0,attributes:AE(),layoutAttributes:aW(),supplyDefaults:OEe(),supplyLayoutDefaults:NEe(),calc:EE().calc,crossTraceCalc:EE().crossTraceCalc,plot:zD().plot,style:kW().style,colorbar:Kd(),meta:{}}});var yCe=ye((sdr,mCe)=>{\"use strict\";mCe.exports=gCe()});var xCe=ye(L5=>{\"use strict\";var _Ce=Xu();L5.name=\"treemap\";L5.plot=function(e,t,r,n){_Ce.plotBasePlot(L5.name,e,t,r,n)};L5.clean=function(e,t,r,n){_Ce.cleanBasePlot(L5.name,e,t,r,n)}});var z2=ye((udr,bCe)=>{\"use strict\";bCe.exports={CLICK_TRANSITION_TIME:750,CLICK_TRANSITION_EASING:\"poly\",eventDataKeys:[\"currentPath\",\"root\",\"entry\",\"percentRoot\",\"percentEntry\",\"percentParent\"],gapWithPathbar:1}});var FD=ye((cdr,TCe)=>{\"use strict\";var fCt=Wo().hovertemplateAttrs,hCt=Wo().texttemplateAttrs,dCt=Kl(),vCt=Ju().attributes,F2=A2(),Q0=AE(),wCe=z2(),LW=no().extendFlat,pCt=Ed().pattern;TCe.exports={labels:Q0.labels,parents:Q0.parents,values:Q0.values,branchvalues:Q0.branchvalues,count:Q0.count,level:Q0.level,maxdepth:Q0.maxdepth,tiling:{packing:{valType:\"enumerated\",values:[\"squarify\",\"binary\",\"dice\",\"slice\",\"slice-dice\",\"dice-slice\"],dflt:\"squarify\",editType:\"plot\"},squarifyratio:{valType:\"number\",min:1,dflt:1,editType:\"plot\"},flip:{valType:\"flaglist\",flags:[\"x\",\"y\"],dflt:\"\",editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:3,editType:\"plot\"},editType:\"calc\"},marker:LW({pad:{t:{valType:\"number\",min:0,editType:\"plot\"},l:{valType:\"number\",min:0,editType:\"plot\"},r:{valType:\"number\",min:0,editType:\"plot\"},b:{valType:\"number\",min:0,editType:\"plot\"},editType:\"calc\"},colors:Q0.marker.colors,pattern:pCt,depthfade:{valType:\"enumerated\",values:[!0,!1,\"reversed\"],editType:\"style\"},line:Q0.marker.line,cornerradius:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},dCt(\"marker\",{colorAttr:\"colors\",anim:!1})),pathbar:{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},side:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},edgeshape:{valType:\"enumerated\",values:[\">\",\"<\",\"|\",\"/\",\"\\\\\"],dflt:\">\",editType:\"plot\"},thickness:{valType:\"number\",min:12,editType:\"plot\"},textfont:LW({},F2.textfont,{}),editType:\"calc\"},text:F2.text,textinfo:Q0.textinfo,texttemplate:hCt({editType:\"plot\"},{keys:wCe.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:F2.hovertext,hoverinfo:Q0.hoverinfo,hovertemplate:fCt({},{keys:wCe.eventDataKeys}),textfont:F2.textfont,insidetextfont:F2.insidetextfont,outsidetextfont:LW({},F2.outsidetextfont,{}),textposition:{valType:\"enumerated\",values:[\"top 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u=a(\"tiling.packing\");u===\"squarify\"&&a(\"tiling.squarifyratio\"),a(\"tiling.flip\"),a(\"tiling.pad\");var c=a(\"text\");a(\"texttemplate\"),r.texttemplate||a(\"textinfo\",SCe.isArrayOrTypedArray(c)?\"text+label\":\"label\"),a(\"hovertext\"),a(\"hovertemplate\");var f=a(\"pathbar.visible\"),h=\"auto\";_Ct(t,r,i,a,h,{hasPathbar:f,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),a(\"textposition\");var d=r.textposition.indexOf(\"bottom\")!==-1;bCt(t,r,i,a);var v=r._hasColorscale=wCt(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis;v?TCt(t,r,i,a,{prefix:\"marker.\",cLetter:\"c\"}):a(\"marker.depthfade\",!(r.marker.colors||[]).length);var x=r.textfont.size*2;a(\"marker.pad.t\",d?x/4:x),a(\"marker.pad.l\",x/4),a(\"marker.pad.r\",x/4),a(\"marker.pad.b\",d?x:x/4),a(\"marker.cornerradius\"),r._hovered={marker:{line:{width:2,color:mCt.contrast(i.paper_bgcolor)}}},f&&(a(\"pathbar.thickness\",r.pathbar.textfont.size+2*xCt),a(\"pathbar.side\"),a(\"pathbar.edgeshape\")),a(\"sort\"),a(\"root.color\"),yCt(r,i,a),r._length=null}});var LCe=ye((ddr,CCe)=>{\"use strict\";var ACt=Mr(),SCt=PW();CCe.exports=function(t,r){function n(i,a){return ACt.coerce(t,r,SCt,i,a)}n(\"treemapcolorway\",r.colorway),n(\"extendtreemapcolors\")}});var RW=ye(IW=>{\"use strict\";var PCe=EE();IW.calc=function(e,t){return PCe.calc(e,t)};IW.crossTraceCalc=function(e){return PCe._runCrossTraceCalc(\"treemap\",e)}});var DW=ye((pdr,ICe)=>{\"use strict\";ICe.exports=function e(t,r,n){var i;n.swapXY&&(i=t.x0,t.x0=t.y0,t.y0=i,i=t.x1,t.x1=t.y1,t.y1=i),n.flipX&&(i=t.x0,t.x0=r[0]-t.x1,t.x1=r[0]-i),n.flipY&&(i=t.y0,t.y0=r[1]-t.y1,t.y1=r[1]-i);var a=t.children;if(a)for(var o=0;o{\"use strict\";var P5=SE(),MCt=DW();RCe.exports=function(t,r,n){var i=n.flipX,a=n.flipY,o=n.packing===\"dice-slice\",s=n.pad[a?\"bottom\":\"top\"],l=n.pad[i?\"right\":\"left\"],u=n.pad[i?\"left\":\"right\"],c=n.pad[a?\"top\":\"bottom\"],f;o&&(f=l,l=s,s=f,f=u,u=c,c=f);var h=P5.treemap().tile(ECt(n.packing,n.squarifyratio)).paddingInner(n.pad.inner).paddingLeft(l).paddingRight(u).paddingTop(s).paddingBottom(c).size(o?[r[1],r[0]]:r)(t);return(o||i||a)&&MCt(h,r,{swapXY:o,flipX:i,flipY:a}),h};function ECt(e,t){switch(e){case\"squarify\":return P5.treemapSquarify.ratio(t);case\"binary\":return P5.treemapBinary;case\"dice\":return P5.treemapDice;case\"slice\":return P5.treemapSlice;default:return P5.treemapSliceDice}}});var qD=ye((mdr,qCe)=>{\"use strict\";var DCe=xa(),I5=va(),zCe=Mr(),FW=Ky(),kCt=_v().resizeText,CCt=RD();function LCt(e){var t=e._fullLayout._treemaplayer.selectAll(\".trace\");kCt(e,t,\"treemap\"),t.each(function(r){var n=DCe.select(this),i=r[0],a=i.trace;n.style(\"opacity\",a.opacity),n.selectAll(\"path.surface\").each(function(o){DCe.select(this).call(FCe,o,a,e,{hovered:!1})})})}function FCe(e,t,r,n,i){var a=(i||{}).hovered,o=t.data.data,s=o.i,l,u,c=o.color,f=FW.isHierarchyRoot(t),h=1;if(a)l=r._hovered.marker.line.color,u=r._hovered.marker.line.width;else if(f&&c===r.root.color)h=100,l=\"rgba(0,0,0,0)\",u=0;else if(l=zCe.castOption(r,s,\"marker.line.color\")||I5.defaultLine,u=zCe.castOption(r,s,\"marker.line.width\")||0,!r._hasColorscale&&!t.onPathbar){var d=r.marker.depthfade;if(d){var v=I5.combine(I5.addOpacity(r._backgroundColor,.75),c),x;if(d===!0){var b=FW.getMaxDepth(r);isFinite(b)?FW.isLeaf(t)?x=0:x=r._maxVisibleLayers-(t.data.depth-r._entryDepth):x=t.data.height+1}else x=t.data.depth-r._entryDepth,r._atRootLevel||x++;if(x>0)for(var g=0;g{\"use strict\";var OCe=xa(),OD=Mr(),BCe=ao(),PCt=Ll(),ICt=zW(),NCe=qD().styleOne,qW=z2(),R5=Ky(),RCt=OE(),OW=!0;UCe.exports=function(t,r,n,i,a){var 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ze(this,xe,Se,lt);case\"base64\":return Ce(this,xe,Se,lt);case\"ucs2\":case\"ucs-2\":case\"utf16le\":case\"utf-16le\":return me(this,xe,Se,lt);default:if(ar)throw new TypeError(\"Unknown encoding: \"+Gt);Gt=(\"\"+Gt).toLowerCase(),ar=!0}},T.prototype.toJSON=function(){return{type:\"Buffer\",data:Array.prototype.slice.call(this._arr||this,0)}};function Re(Le,xe,Se){return xe===0&&Se===Le.length?L.fromByteArray(Le):L.fromByteArray(Le.slice(xe,Se))}function ce(Le,xe,Se){Se=Math.min(Le.length,Se);for(var lt=[],Gt=xe;Gt239?4:Vt>223?3:Vt>191?2:1;if(Gt+Qr<=Se){var ai=void 0,jr=void 0,ri=void 0,bi=void 0;switch(Qr){case 1:Vt<128&&(ar=Vt);break;case 2:ai=Le[Gt+1],(ai&192)===128&&(bi=(Vt&31)<<6|ai&63,bi>127&&(ar=bi));break;case 3:ai=Le[Gt+1],jr=Le[Gt+2],(ai&192)===128&&(jr&192)===128&&(bi=(Vt&15)<<12|(ai&63)<<6|jr&63,bi>2047&&(bi<55296||bi>57343)&&(ar=bi));break;case 4:ai=Le[Gt+1],jr=Le[Gt+2],ri=Le[Gt+3],(ai&192)===128&&(jr&192)===128&&(ri&192)===128&&(bi=(Vt&15)<<18|(ai&63)<<12|(jr&63)<<6|ri&63,bi>65535&&bi<1114112&&(ar=bi))}}ar===null?(ar=65533,Qr=1):ar>65535&&(ar-=65536,lt.push(ar>>>10&1023|55296),ar=56320|ar&1023),lt.push(ar),Gt+=Qr}return nt(lt)}var Ge=4096;function nt(Le){var xe=Le.length;if(xe<=Ge)return String.fromCharCode.apply(String,Le);for(var Se=\"\",lt=0;ltlt)&&(Se=lt);for(var Gt=\"\",Vt=xe;Vtlt&&(xe=lt),Se<0?(Se+=lt,Se<0&&(Se=0)):Se>lt&&(Se=lt),SeSe)throw new RangeError(\"Trying to access beyond buffer length\")}T.prototype.readUintLE=T.prototype.readUIntLE=function(xe,Se,lt){xe=xe>>>0,Se=Se>>>0,lt||Rt(xe,Se,this.length);for(var Gt=this[xe],Vt=1,ar=0;++ar>>0,Se=Se>>>0,lt||Rt(xe,Se,this.length);for(var Gt=this[xe+--Se],Vt=1;Se>0&&(Vt*=256);)Gt+=this[xe+--Se]*Vt;return Gt},T.prototype.readUint8=T.prototype.readUInt8=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,1,this.length),this[xe]},T.prototype.readUint16LE=T.prototype.readUInt16LE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,2,this.length),this[xe]|this[xe+1]<<8},T.prototype.readUint16BE=T.prototype.readUInt16BE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,2,this.length),this[xe]<<8|this[xe+1]},T.prototype.readUint32LE=T.prototype.readUInt32LE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),(this[xe]|this[xe+1]<<8|this[xe+2]<<16)+this[xe+3]*16777216},T.prototype.readUint32BE=T.prototype.readUInt32BE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),this[xe]*16777216+(this[xe+1]<<16|this[xe+2]<<8|this[xe+3])},T.prototype.readBigUInt64LE=Xe(function(xe){xe=xe>>>0,dt(xe,\"offset\");var Se=this[xe],lt=this[xe+7];(Se===void 0||lt===void 0)&&Ht(xe,this.length-8);var Gt=Se+this[++xe]*Math.pow(2,8)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,24),Vt=this[++xe]+this[++xe]*Math.pow(2,8)+this[++xe]*Math.pow(2,16)+lt*Math.pow(2,24);return BigInt(Gt)+(BigInt(Vt)<>>0,dt(xe,\"offset\");var Se=this[xe],lt=this[xe+7];(Se===void 0||lt===void 0)&&Ht(xe,this.length-8);var Gt=Se*Math.pow(2,24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+this[++xe],Vt=this[++xe]*Math.pow(2,24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+lt;return(BigInt(Gt)<>>0,Se=Se>>>0,lt||Rt(xe,Se,this.length);for(var Gt=this[xe],Vt=1,ar=0;++ar=Vt&&(Gt-=Math.pow(2,8*Se)),Gt},T.prototype.readIntBE=function(xe,Se,lt){xe=xe>>>0,Se=Se>>>0,lt||Rt(xe,Se,this.length);for(var Gt=Se,Vt=1,ar=this[xe+--Gt];Gt>0&&(Vt*=256);)ar+=this[xe+--Gt]*Vt;return Vt*=128,ar>=Vt&&(ar-=Math.pow(2,8*Se)),ar},T.prototype.readInt8=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,1,this.length),this[xe]&128?(255-this[xe]+1)*-1:this[xe]},T.prototype.readInt16LE=function(xe,Se){xe=xe>>>0,Se||Rt(xe,2,this.length);var lt=this[xe]|this[xe+1]<<8;return lt&32768?lt|4294901760:lt},T.prototype.readInt16BE=function(xe,Se){xe=xe>>>0,Se||Rt(xe,2,this.length);var lt=this[xe+1]|this[xe]<<8;return lt&32768?lt|4294901760:lt},T.prototype.readInt32LE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),this[xe]|this[xe+1]<<8|this[xe+2]<<16|this[xe+3]<<24},T.prototype.readInt32BE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),this[xe]<<24|this[xe+1]<<16|this[xe+2]<<8|this[xe+3]},T.prototype.readBigInt64LE=Xe(function(xe){xe=xe>>>0,dt(xe,\"offset\");var Se=this[xe],lt=this[xe+7];(Se===void 0||lt===void 0)&&Ht(xe,this.length-8);var Gt=this[xe+4]+this[xe+5]*Math.pow(2,8)+this[xe+6]*Math.pow(2,16)+(lt<<24);return(BigInt(Gt)<>>0,dt(xe,\"offset\");var Se=this[xe],lt=this[xe+7];(Se===void 0||lt===void 0)&&Ht(xe,this.length-8);var Gt=(Se<<24)+this[++xe]*Math.pow(2,16)+this[++xe]*Math.pow(2,8)+this[++xe];return(BigInt(Gt)<>>0,Se||Rt(xe,4,this.length),_.read(this,xe,!0,23,4)},T.prototype.readFloatBE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,4,this.length),_.read(this,xe,!1,23,4)},T.prototype.readDoubleLE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,8,this.length),_.read(this,xe,!0,52,8)},T.prototype.readDoubleBE=function(xe,Se){return xe=xe>>>0,Se||Rt(xe,8,this.length),_.read(this,xe,!1,52,8)};function kt(Le,xe,Se,lt,Gt,Vt){if(!T.isBuffer(Le))throw new TypeError('\"buffer\" argument must be a Buffer instance');if(xe>Gt||xeLe.length)throw new RangeError(\"Index out of range\")}T.prototype.writeUintLE=T.prototype.writeUIntLE=function(xe,Se,lt,Gt){if(xe=+xe,Se=Se>>>0,lt=lt>>>0,!Gt){var Vt=Math.pow(2,8*lt)-1;kt(this,xe,Se,lt,Vt,0)}var ar=1,Qr=0;for(this[Se]=xe&255;++Qr>>0,lt=lt>>>0,!Gt){var Vt=Math.pow(2,8*lt)-1;kt(this,xe,Se,lt,Vt,0)}var ar=lt-1,Qr=1;for(this[Se+ar]=xe&255;--ar>=0&&(Qr*=256);)this[Se+ar]=xe/Qr&255;return Se+lt},T.prototype.writeUint8=T.prototype.writeUInt8=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,1,255,0),this[Se]=xe&255,Se+1},T.prototype.writeUint16LE=T.prototype.writeUInt16LE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,2,65535,0),this[Se]=xe&255,this[Se+1]=xe>>>8,Se+2},T.prototype.writeUint16BE=T.prototype.writeUInt16BE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,2,65535,0),this[Se]=xe>>>8,this[Se+1]=xe&255,Se+2},T.prototype.writeUint32LE=T.prototype.writeUInt32LE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,4,4294967295,0),this[Se+3]=xe>>>24,this[Se+2]=xe>>>16,this[Se+1]=xe>>>8,this[Se]=xe&255,Se+4},T.prototype.writeUint32BE=T.prototype.writeUInt32BE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,4,4294967295,0),this[Se]=xe>>>24,this[Se+1]=xe>>>16,this[Se+2]=xe>>>8,this[Se+3]=xe&255,Se+4};function Ct(Le,xe,Se,lt,Gt){Et(xe,lt,Gt,Le,Se,7);var Vt=Number(xe&BigInt(4294967295));Le[Se++]=Vt,Vt=Vt>>8,Le[Se++]=Vt,Vt=Vt>>8,Le[Se++]=Vt,Vt=Vt>>8,Le[Se++]=Vt;var ar=Number(xe>>BigInt(32)&BigInt(4294967295));return Le[Se++]=ar,ar=ar>>8,Le[Se++]=ar,ar=ar>>8,Le[Se++]=ar,ar=ar>>8,Le[Se++]=ar,Se}function Yt(Le,xe,Se,lt,Gt){Et(xe,lt,Gt,Le,Se,7);var Vt=Number(xe&BigInt(4294967295));Le[Se+7]=Vt,Vt=Vt>>8,Le[Se+6]=Vt,Vt=Vt>>8,Le[Se+5]=Vt,Vt=Vt>>8,Le[Se+4]=Vt;var ar=Number(xe>>BigInt(32)&BigInt(4294967295));return Le[Se+3]=ar,ar=ar>>8,Le[Se+2]=ar,ar=ar>>8,Le[Se+1]=ar,ar=ar>>8,Le[Se]=ar,Se+8}T.prototype.writeBigUInt64LE=Xe(function(xe){var Se=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return Ct(this,xe,Se,BigInt(0),BigInt(\"0xffffffffffffffff\"))}),T.prototype.writeBigUInt64BE=Xe(function(xe){var Se=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return Yt(this,xe,Se,BigInt(0),BigInt(\"0xffffffffffffffff\"))}),T.prototype.writeIntLE=function(xe,Se,lt,Gt){if(xe=+xe,Se=Se>>>0,!Gt){var Vt=Math.pow(2,8*lt-1);kt(this,xe,Se,lt,Vt-1,-Vt)}var ar=0,Qr=1,ai=0;for(this[Se]=xe&255;++ar>0)-ai&255;return Se+lt},T.prototype.writeIntBE=function(xe,Se,lt,Gt){if(xe=+xe,Se=Se>>>0,!Gt){var Vt=Math.pow(2,8*lt-1);kt(this,xe,Se,lt,Vt-1,-Vt)}var ar=lt-1,Qr=1,ai=0;for(this[Se+ar]=xe&255;--ar>=0&&(Qr*=256);)xe<0&&ai===0&&this[Se+ar+1]!==0&&(ai=1),this[Se+ar]=(xe/Qr>>0)-ai&255;return Se+lt},T.prototype.writeInt8=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,1,127,-128),xe<0&&(xe=255+xe+1),this[Se]=xe&255,Se+1},T.prototype.writeInt16LE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,2,32767,-32768),this[Se]=xe&255,this[Se+1]=xe>>>8,Se+2},T.prototype.writeInt16BE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,2,32767,-32768),this[Se]=xe>>>8,this[Se+1]=xe&255,Se+2},T.prototype.writeInt32LE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,4,2147483647,-2147483648),this[Se]=xe&255,this[Se+1]=xe>>>8,this[Se+2]=xe>>>16,this[Se+3]=xe>>>24,Se+4},T.prototype.writeInt32BE=function(xe,Se,lt){return xe=+xe,Se=Se>>>0,lt||kt(this,xe,Se,4,2147483647,-2147483648),xe<0&&(xe=4294967295+xe+1),this[Se]=xe>>>24,this[Se+1]=xe>>>16,this[Se+2]=xe>>>8,this[Se+3]=xe&255,Se+4},T.prototype.writeBigInt64LE=Xe(function(xe){var Se=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return Ct(this,xe,Se,-BigInt(\"0x8000000000000000\"),BigInt(\"0x7fffffffffffffff\"))}),T.prototype.writeBigInt64BE=Xe(function(xe){var Se=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;return Yt(this,xe,Se,-BigInt(\"0x8000000000000000\"),BigInt(\"0x7fffffffffffffff\"))});function xr(Le,xe,Se,lt,Gt,Vt){if(Se+lt>Le.length)throw new RangeError(\"Index out of range\");if(Se<0)throw new RangeError(\"Index out of range\")}function er(Le,xe,Se,lt,Gt){return xe=+xe,Se=Se>>>0,Gt||xr(Le,xe,Se,4,34028234663852886e22,-34028234663852886e22),_.write(Le,xe,Se,lt,23,4),Se+4}T.prototype.writeFloatLE=function(xe,Se,lt){return er(this,xe,Se,!0,lt)},T.prototype.writeFloatBE=function(xe,Se,lt){return 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W&8191||(re+=13,W>>>=13),W&127||(re+=7,W>>>=7),W&15||(re+=4,W>>>=4),W&3||(re+=2,W>>>=2),W&1||re++,re},f.prototype.bitLength=function(){var N=this.words[this.length-1],W=this._countBits(N);return(this.length-1)*26+W};function k(G){for(var N=new Array(G.bitLength()),W=0;W>>ae}return N}f.prototype.zeroBits=function(){if(this.isZero())return 0;for(var N=0,W=0;WN.length?this.clone().ior(N):N.clone().ior(this)},f.prototype.uor=function(N){return this.length>N.length?this.clone().iuor(N):N.clone().iuor(this)},f.prototype.iuand=function(N){var W;this.length>N.length?W=N:W=this;for(var re=0;reN.length?this.clone().iand(N):N.clone().iand(this)},f.prototype.uand=function(N){return this.length>N.length?this.clone().iuand(N):N.clone().iuand(this)},f.prototype.iuxor=function(N){var W,re;this.length>N.length?(W=this,re=N):(W=N,re=this);for(var ae=0;aeN.length?this.clone().ixor(N):N.clone().ixor(this)},f.prototype.uxor=function(N){return this.length>N.length?this.clone().iuxor(N):N.clone().iuxor(this)},f.prototype.inotn=function(N){u(typeof N==\"number\"&&N>=0);var W=Math.ceil(N/26)|0,re=N%26;this._expand(W),re>0&&W--;for(var ae=0;ae0&&(this.words[ae]=~this.words[ae]&67108863>>26-re),this.strip()},f.prototype.notn=function(N){return this.clone().inotn(N)},f.prototype.setn=function(N,W){u(typeof N==\"number\"&&N>=0);var re=N/26|0,ae=N%26;return this._expand(re+1),W?this.words[re]=this.words[re]|1<N.length?(re=this,ae=N):(re=N,ae=this);for(var _e=0,Me=0;Me>>26;for(;_e!==0&&Me>>26;if(this.length=re.length,_e!==0)this.words[this.length]=_e,this.length++;else if(re!==this)for(;MeN.length?this.clone().iadd(N):N.clone().iadd(this)},f.prototype.isub=function(N){if(N.negative!==0){N.negative=0;var W=this.iadd(N);return N.negative=1,W._normSign()}else if(this.negative!==0)return this.negative=0,this.iadd(N),this.negative=1,this._normSign();var re=this.cmp(N);if(re===0)return this.negative=0,this.length=1,this.words[0]=0,this;var ae,_e;re>0?(ae=this,_e=N):(ae=N,_e=this);for(var Me=0,ke=0;ke<_e.length;ke++)W=(ae.words[ke]|0)-(_e.words[ke]|0)+Me,Me=W>>26,this.words[ke]=W&67108863;for(;Me!==0&&ke>26,this.words[ke]=W&67108863;if(Me===0&&ke>>26,Ee=ge&67108863,Ae=Math.min(ie,N.length-1),ze=Math.max(0,ie-G.length+1);ze<=Ae;ze++){var Ce=ie-ze|0;ae=G.words[Ce]|0,_e=N.words[ze]|0,Me=ae*_e+Ee,Te+=Me/67108864|0,Ee=Me&67108863}W.words[ie]=Ee|0,ge=Te|0}return ge!==0?W.words[ie]=ge|0:W.length--,W.strip()}var L=function(N,W,re){var ae=N.words,_e=W.words,Me=re.words,ke=0,ge,ie,Te,Ee=ae[0]|0,Ae=Ee&8191,ze=Ee>>>13,Ce=ae[1]|0,me=Ce&8191,Re=Ce>>>13,ce=ae[2]|0,Ge=ce&8191,nt=ce>>>13,ct=ae[3]|0,qt=ct&8191,rt=ct>>>13,ot=ae[4]|0,Rt=ot&8191,kt=ot>>>13,Ct=ae[5]|0,Yt=Ct&8191,xr=Ct>>>13,er=ae[6]|0,Ke=er&8191,xt=er>>>13,bt=ae[7]|0,Lt=bt&8191,St=bt>>>13,Et=ae[8]|0,dt=Et&8191,Ht=Et>>>13,$t=ae[9]|0,fr=$t&8191,_r=$t>>>13,Br=_e[0]|0,Or=Br&8191,Nr=Br>>>13,ut=_e[1]|0,Ne=ut&8191,Ye=ut>>>13,Ve=_e[2]|0,Xe=Ve&8191,ht=Ve>>>13,Le=_e[3]|0,xe=Le&8191,Se=Le>>>13,lt=_e[4]|0,Gt=lt&8191,Vt=lt>>>13,ar=_e[5]|0,Qr=ar&8191,ai=ar>>>13,jr=_e[6]|0,ri=jr&8191,bi=jr>>>13,nn=_e[7]|0,Wi=nn&8191,Ni=nn>>>13,_n=_e[8]|0,$i=_n&8191,zn=_n>>>13,Wn=_e[9]|0,It=Wn&8191,ft=Wn>>>13;re.negative=N.negative^W.negative,re.length=19,ge=Math.imul(Ae,Or),ie=Math.imul(Ae,Nr),ie=ie+Math.imul(ze,Or)|0,Te=Math.imul(ze,Nr);var jt=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(jt>>>26)|0,jt&=67108863,ge=Math.imul(me,Or),ie=Math.imul(me,Nr),ie=ie+Math.imul(Re,Or)|0,Te=Math.imul(Re,Nr),ge=ge+Math.imul(Ae,Ne)|0,ie=ie+Math.imul(Ae,Ye)|0,ie=ie+Math.imul(ze,Ne)|0,Te=Te+Math.imul(ze,Ye)|0;var Zt=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Zt>>>26)|0,Zt&=67108863,ge=Math.imul(Ge,Or),ie=Math.imul(Ge,Nr),ie=ie+Math.imul(nt,Or)|0,Te=Math.imul(nt,Nr),ge=ge+Math.imul(me,Ne)|0,ie=ie+Math.imul(me,Ye)|0,ie=ie+Math.imul(Re,Ne)|0,Te=Te+Math.imul(Re,Ye)|0,ge=ge+Math.imul(Ae,Xe)|0,ie=ie+Math.imul(Ae,ht)|0,ie=ie+Math.imul(ze,Xe)|0,Te=Te+Math.imul(ze,ht)|0;var yr=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(yr>>>26)|0,yr&=67108863,ge=Math.imul(qt,Or),ie=Math.imul(qt,Nr),ie=ie+Math.imul(rt,Or)|0,Te=Math.imul(rt,Nr),ge=ge+Math.imul(Ge,Ne)|0,ie=ie+Math.imul(Ge,Ye)|0,ie=ie+Math.imul(nt,Ne)|0,Te=Te+Math.imul(nt,Ye)|0,ge=ge+Math.imul(me,Xe)|0,ie=ie+Math.imul(me,ht)|0,ie=ie+Math.imul(Re,Xe)|0,Te=Te+Math.imul(Re,ht)|0,ge=ge+Math.imul(Ae,xe)|0,ie=ie+Math.imul(Ae,Se)|0,ie=ie+Math.imul(ze,xe)|0,Te=Te+Math.imul(ze,Se)|0;var Fr=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Fr>>>26)|0,Fr&=67108863,ge=Math.imul(Rt,Or),ie=Math.imul(Rt,Nr),ie=ie+Math.imul(kt,Or)|0,Te=Math.imul(kt,Nr),ge=ge+Math.imul(qt,Ne)|0,ie=ie+Math.imul(qt,Ye)|0,ie=ie+Math.imul(rt,Ne)|0,Te=Te+Math.imul(rt,Ye)|0,ge=ge+Math.imul(Ge,Xe)|0,ie=ie+Math.imul(Ge,ht)|0,ie=ie+Math.imul(nt,Xe)|0,Te=Te+Math.imul(nt,ht)|0,ge=ge+Math.imul(me,xe)|0,ie=ie+Math.imul(me,Se)|0,ie=ie+Math.imul(Re,xe)|0,Te=Te+Math.imul(Re,Se)|0,ge=ge+Math.imul(Ae,Gt)|0,ie=ie+Math.imul(Ae,Vt)|0,ie=ie+Math.imul(ze,Gt)|0,Te=Te+Math.imul(ze,Vt)|0;var Zr=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Zr>>>26)|0,Zr&=67108863,ge=Math.imul(Yt,Or),ie=Math.imul(Yt,Nr),ie=ie+Math.imul(xr,Or)|0,Te=Math.imul(xr,Nr),ge=ge+Math.imul(Rt,Ne)|0,ie=ie+Math.imul(Rt,Ye)|0,ie=ie+Math.imul(kt,Ne)|0,Te=Te+Math.imul(kt,Ye)|0,ge=ge+Math.imul(qt,Xe)|0,ie=ie+Math.imul(qt,ht)|0,ie=ie+Math.imul(rt,Xe)|0,Te=Te+Math.imul(rt,ht)|0,ge=ge+Math.imul(Ge,xe)|0,ie=ie+Math.imul(Ge,Se)|0,ie=ie+Math.imul(nt,xe)|0,Te=Te+Math.imul(nt,Se)|0,ge=ge+Math.imul(me,Gt)|0,ie=ie+Math.imul(me,Vt)|0,ie=ie+Math.imul(Re,Gt)|0,Te=Te+Math.imul(Re,Vt)|0,ge=ge+Math.imul(Ae,Qr)|0,ie=ie+Math.imul(Ae,ai)|0,ie=ie+Math.imul(ze,Qr)|0,Te=Te+Math.imul(ze,ai)|0;var Vr=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Vr>>>26)|0,Vr&=67108863,ge=Math.imul(Ke,Or),ie=Math.imul(Ke,Nr),ie=ie+Math.imul(xt,Or)|0,Te=Math.imul(xt,Nr),ge=ge+Math.imul(Yt,Ne)|0,ie=ie+Math.imul(Yt,Ye)|0,ie=ie+Math.imul(xr,Ne)|0,Te=Te+Math.imul(xr,Ye)|0,ge=ge+Math.imul(Rt,Xe)|0,ie=ie+Math.imul(Rt,ht)|0,ie=ie+Math.imul(kt,Xe)|0,Te=Te+Math.imul(kt,ht)|0,ge=ge+Math.imul(qt,xe)|0,ie=ie+Math.imul(qt,Se)|0,ie=ie+Math.imul(rt,xe)|0,Te=Te+Math.imul(rt,Se)|0,ge=ge+Math.imul(Ge,Gt)|0,ie=ie+Math.imul(Ge,Vt)|0,ie=ie+Math.imul(nt,Gt)|0,Te=Te+Math.imul(nt,Vt)|0,ge=ge+Math.imul(me,Qr)|0,ie=ie+Math.imul(me,ai)|0,ie=ie+Math.imul(Re,Qr)|0,Te=Te+Math.imul(Re,ai)|0,ge=ge+Math.imul(Ae,ri)|0,ie=ie+Math.imul(Ae,bi)|0,ie=ie+Math.imul(ze,ri)|0,Te=Te+Math.imul(ze,bi)|0;var gi=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(gi>>>26)|0,gi&=67108863,ge=Math.imul(Lt,Or),ie=Math.imul(Lt,Nr),ie=ie+Math.imul(St,Or)|0,Te=Math.imul(St,Nr),ge=ge+Math.imul(Ke,Ne)|0,ie=ie+Math.imul(Ke,Ye)|0,ie=ie+Math.imul(xt,Ne)|0,Te=Te+Math.imul(xt,Ye)|0,ge=ge+Math.imul(Yt,Xe)|0,ie=ie+Math.imul(Yt,ht)|0,ie=ie+Math.imul(xr,Xe)|0,Te=Te+Math.imul(xr,ht)|0,ge=ge+Math.imul(Rt,xe)|0,ie=ie+Math.imul(Rt,Se)|0,ie=ie+Math.imul(kt,xe)|0,Te=Te+Math.imul(kt,Se)|0,ge=ge+Math.imul(qt,Gt)|0,ie=ie+Math.imul(qt,Vt)|0,ie=ie+Math.imul(rt,Gt)|0,Te=Te+Math.imul(rt,Vt)|0,ge=ge+Math.imul(Ge,Qr)|0,ie=ie+Math.imul(Ge,ai)|0,ie=ie+Math.imul(nt,Qr)|0,Te=Te+Math.imul(nt,ai)|0,ge=ge+Math.imul(me,ri)|0,ie=ie+Math.imul(me,bi)|0,ie=ie+Math.imul(Re,ri)|0,Te=Te+Math.imul(Re,bi)|0,ge=ge+Math.imul(Ae,Wi)|0,ie=ie+Math.imul(Ae,Ni)|0,ie=ie+Math.imul(ze,Wi)|0,Te=Te+Math.imul(ze,Ni)|0;var Si=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Si>>>26)|0,Si&=67108863,ge=Math.imul(dt,Or),ie=Math.imul(dt,Nr),ie=ie+Math.imul(Ht,Or)|0,Te=Math.imul(Ht,Nr),ge=ge+Math.imul(Lt,Ne)|0,ie=ie+Math.imul(Lt,Ye)|0,ie=ie+Math.imul(St,Ne)|0,Te=Te+Math.imul(St,Ye)|0,ge=ge+Math.imul(Ke,Xe)|0,ie=ie+Math.imul(Ke,ht)|0,ie=ie+Math.imul(xt,Xe)|0,Te=Te+Math.imul(xt,ht)|0,ge=ge+Math.imul(Yt,xe)|0,ie=ie+Math.imul(Yt,Se)|0,ie=ie+Math.imul(xr,xe)|0,Te=Te+Math.imul(xr,Se)|0,ge=ge+Math.imul(Rt,Gt)|0,ie=ie+Math.imul(Rt,Vt)|0,ie=ie+Math.imul(kt,Gt)|0,Te=Te+Math.imul(kt,Vt)|0,ge=ge+Math.imul(qt,Qr)|0,ie=ie+Math.imul(qt,ai)|0,ie=ie+Math.imul(rt,Qr)|0,Te=Te+Math.imul(rt,ai)|0,ge=ge+Math.imul(Ge,ri)|0,ie=ie+Math.imul(Ge,bi)|0,ie=ie+Math.imul(nt,ri)|0,Te=Te+Math.imul(nt,bi)|0,ge=ge+Math.imul(me,Wi)|0,ie=ie+Math.imul(me,Ni)|0,ie=ie+Math.imul(Re,Wi)|0,Te=Te+Math.imul(Re,Ni)|0,ge=ge+Math.imul(Ae,$i)|0,ie=ie+Math.imul(Ae,zn)|0,ie=ie+Math.imul(ze,$i)|0,Te=Te+Math.imul(ze,zn)|0;var Mi=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Mi>>>26)|0,Mi&=67108863,ge=Math.imul(fr,Or),ie=Math.imul(fr,Nr),ie=ie+Math.imul(_r,Or)|0,Te=Math.imul(_r,Nr),ge=ge+Math.imul(dt,Ne)|0,ie=ie+Math.imul(dt,Ye)|0,ie=ie+Math.imul(Ht,Ne)|0,Te=Te+Math.imul(Ht,Ye)|0,ge=ge+Math.imul(Lt,Xe)|0,ie=ie+Math.imul(Lt,ht)|0,ie=ie+Math.imul(St,Xe)|0,Te=Te+Math.imul(St,ht)|0,ge=ge+Math.imul(Ke,xe)|0,ie=ie+Math.imul(Ke,Se)|0,ie=ie+Math.imul(xt,xe)|0,Te=Te+Math.imul(xt,Se)|0,ge=ge+Math.imul(Yt,Gt)|0,ie=ie+Math.imul(Yt,Vt)|0,ie=ie+Math.imul(xr,Gt)|0,Te=Te+Math.imul(xr,Vt)|0,ge=ge+Math.imul(Rt,Qr)|0,ie=ie+Math.imul(Rt,ai)|0,ie=ie+Math.imul(kt,Qr)|0,Te=Te+Math.imul(kt,ai)|0,ge=ge+Math.imul(qt,ri)|0,ie=ie+Math.imul(qt,bi)|0,ie=ie+Math.imul(rt,ri)|0,Te=Te+Math.imul(rt,bi)|0,ge=ge+Math.imul(Ge,Wi)|0,ie=ie+Math.imul(Ge,Ni)|0,ie=ie+Math.imul(nt,Wi)|0,Te=Te+Math.imul(nt,Ni)|0,ge=ge+Math.imul(me,$i)|0,ie=ie+Math.imul(me,zn)|0,ie=ie+Math.imul(Re,$i)|0,Te=Te+Math.imul(Re,zn)|0,ge=ge+Math.imul(Ae,It)|0,ie=ie+Math.imul(Ae,ft)|0,ie=ie+Math.imul(ze,It)|0,Te=Te+Math.imul(ze,ft)|0;var Pi=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Pi>>>26)|0,Pi&=67108863,ge=Math.imul(fr,Ne),ie=Math.imul(fr,Ye),ie=ie+Math.imul(_r,Ne)|0,Te=Math.imul(_r,Ye),ge=ge+Math.imul(dt,Xe)|0,ie=ie+Math.imul(dt,ht)|0,ie=ie+Math.imul(Ht,Xe)|0,Te=Te+Math.imul(Ht,ht)|0,ge=ge+Math.imul(Lt,xe)|0,ie=ie+Math.imul(Lt,Se)|0,ie=ie+Math.imul(St,xe)|0,Te=Te+Math.imul(St,Se)|0,ge=ge+Math.imul(Ke,Gt)|0,ie=ie+Math.imul(Ke,Vt)|0,ie=ie+Math.imul(xt,Gt)|0,Te=Te+Math.imul(xt,Vt)|0,ge=ge+Math.imul(Yt,Qr)|0,ie=ie+Math.imul(Yt,ai)|0,ie=ie+Math.imul(xr,Qr)|0,Te=Te+Math.imul(xr,ai)|0,ge=ge+Math.imul(Rt,ri)|0,ie=ie+Math.imul(Rt,bi)|0,ie=ie+Math.imul(kt,ri)|0,Te=Te+Math.imul(kt,bi)|0,ge=ge+Math.imul(qt,Wi)|0,ie=ie+Math.imul(qt,Ni)|0,ie=ie+Math.imul(rt,Wi)|0,Te=Te+Math.imul(rt,Ni)|0,ge=ge+Math.imul(Ge,$i)|0,ie=ie+Math.imul(Ge,zn)|0,ie=ie+Math.imul(nt,$i)|0,Te=Te+Math.imul(nt,zn)|0,ge=ge+Math.imul(me,It)|0,ie=ie+Math.imul(me,ft)|0,ie=ie+Math.imul(Re,It)|0,Te=Te+Math.imul(Re,ft)|0;var Gi=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Gi>>>26)|0,Gi&=67108863,ge=Math.imul(fr,Xe),ie=Math.imul(fr,ht),ie=ie+Math.imul(_r,Xe)|0,Te=Math.imul(_r,ht),ge=ge+Math.imul(dt,xe)|0,ie=ie+Math.imul(dt,Se)|0,ie=ie+Math.imul(Ht,xe)|0,Te=Te+Math.imul(Ht,Se)|0,ge=ge+Math.imul(Lt,Gt)|0,ie=ie+Math.imul(Lt,Vt)|0,ie=ie+Math.imul(St,Gt)|0,Te=Te+Math.imul(St,Vt)|0,ge=ge+Math.imul(Ke,Qr)|0,ie=ie+Math.imul(Ke,ai)|0,ie=ie+Math.imul(xt,Qr)|0,Te=Te+Math.imul(xt,ai)|0,ge=ge+Math.imul(Yt,ri)|0,ie=ie+Math.imul(Yt,bi)|0,ie=ie+Math.imul(xr,ri)|0,Te=Te+Math.imul(xr,bi)|0,ge=ge+Math.imul(Rt,Wi)|0,ie=ie+Math.imul(Rt,Ni)|0,ie=ie+Math.imul(kt,Wi)|0,Te=Te+Math.imul(kt,Ni)|0,ge=ge+Math.imul(qt,$i)|0,ie=ie+Math.imul(qt,zn)|0,ie=ie+Math.imul(rt,$i)|0,Te=Te+Math.imul(rt,zn)|0,ge=ge+Math.imul(Ge,It)|0,ie=ie+Math.imul(Ge,ft)|0,ie=ie+Math.imul(nt,It)|0,Te=Te+Math.imul(nt,ft)|0;var Ki=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Ki>>>26)|0,Ki&=67108863,ge=Math.imul(fr,xe),ie=Math.imul(fr,Se),ie=ie+Math.imul(_r,xe)|0,Te=Math.imul(_r,Se),ge=ge+Math.imul(dt,Gt)|0,ie=ie+Math.imul(dt,Vt)|0,ie=ie+Math.imul(Ht,Gt)|0,Te=Te+Math.imul(Ht,Vt)|0,ge=ge+Math.imul(Lt,Qr)|0,ie=ie+Math.imul(Lt,ai)|0,ie=ie+Math.imul(St,Qr)|0,Te=Te+Math.imul(St,ai)|0,ge=ge+Math.imul(Ke,ri)|0,ie=ie+Math.imul(Ke,bi)|0,ie=ie+Math.imul(xt,ri)|0,Te=Te+Math.imul(xt,bi)|0,ge=ge+Math.imul(Yt,Wi)|0,ie=ie+Math.imul(Yt,Ni)|0,ie=ie+Math.imul(xr,Wi)|0,Te=Te+Math.imul(xr,Ni)|0,ge=ge+Math.imul(Rt,$i)|0,ie=ie+Math.imul(Rt,zn)|0,ie=ie+Math.imul(kt,$i)|0,Te=Te+Math.imul(kt,zn)|0,ge=ge+Math.imul(qt,It)|0,ie=ie+Math.imul(qt,ft)|0,ie=ie+Math.imul(rt,It)|0,Te=Te+Math.imul(rt,ft)|0;var ka=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(ka>>>26)|0,ka&=67108863,ge=Math.imul(fr,Gt),ie=Math.imul(fr,Vt),ie=ie+Math.imul(_r,Gt)|0,Te=Math.imul(_r,Vt),ge=ge+Math.imul(dt,Qr)|0,ie=ie+Math.imul(dt,ai)|0,ie=ie+Math.imul(Ht,Qr)|0,Te=Te+Math.imul(Ht,ai)|0,ge=ge+Math.imul(Lt,ri)|0,ie=ie+Math.imul(Lt,bi)|0,ie=ie+Math.imul(St,ri)|0,Te=Te+Math.imul(St,bi)|0,ge=ge+Math.imul(Ke,Wi)|0,ie=ie+Math.imul(Ke,Ni)|0,ie=ie+Math.imul(xt,Wi)|0,Te=Te+Math.imul(xt,Ni)|0,ge=ge+Math.imul(Yt,$i)|0,ie=ie+Math.imul(Yt,zn)|0,ie=ie+Math.imul(xr,$i)|0,Te=Te+Math.imul(xr,zn)|0,ge=ge+Math.imul(Rt,It)|0,ie=ie+Math.imul(Rt,ft)|0,ie=ie+Math.imul(kt,It)|0,Te=Te+Math.imul(kt,ft)|0;var jn=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(jn>>>26)|0,jn&=67108863,ge=Math.imul(fr,Qr),ie=Math.imul(fr,ai),ie=ie+Math.imul(_r,Qr)|0,Te=Math.imul(_r,ai),ge=ge+Math.imul(dt,ri)|0,ie=ie+Math.imul(dt,bi)|0,ie=ie+Math.imul(Ht,ri)|0,Te=Te+Math.imul(Ht,bi)|0,ge=ge+Math.imul(Lt,Wi)|0,ie=ie+Math.imul(Lt,Ni)|0,ie=ie+Math.imul(St,Wi)|0,Te=Te+Math.imul(St,Ni)|0,ge=ge+Math.imul(Ke,$i)|0,ie=ie+Math.imul(Ke,zn)|0,ie=ie+Math.imul(xt,$i)|0,Te=Te+Math.imul(xt,zn)|0,ge=ge+Math.imul(Yt,It)|0,ie=ie+Math.imul(Yt,ft)|0,ie=ie+Math.imul(xr,It)|0,Te=Te+Math.imul(xr,ft)|0;var la=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(la>>>26)|0,la&=67108863,ge=Math.imul(fr,ri),ie=Math.imul(fr,bi),ie=ie+Math.imul(_r,ri)|0,Te=Math.imul(_r,bi),ge=ge+Math.imul(dt,Wi)|0,ie=ie+Math.imul(dt,Ni)|0,ie=ie+Math.imul(Ht,Wi)|0,Te=Te+Math.imul(Ht,Ni)|0,ge=ge+Math.imul(Lt,$i)|0,ie=ie+Math.imul(Lt,zn)|0,ie=ie+Math.imul(St,$i)|0,Te=Te+Math.imul(St,zn)|0,ge=ge+Math.imul(Ke,It)|0,ie=ie+Math.imul(Ke,ft)|0,ie=ie+Math.imul(xt,It)|0,Te=Te+Math.imul(xt,ft)|0;var Fa=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Fa>>>26)|0,Fa&=67108863,ge=Math.imul(fr,Wi),ie=Math.imul(fr,Ni),ie=ie+Math.imul(_r,Wi)|0,Te=Math.imul(_r,Ni),ge=ge+Math.imul(dt,$i)|0,ie=ie+Math.imul(dt,zn)|0,ie=ie+Math.imul(Ht,$i)|0,Te=Te+Math.imul(Ht,zn)|0,ge=ge+Math.imul(Lt,It)|0,ie=ie+Math.imul(Lt,ft)|0,ie=ie+Math.imul(St,It)|0,Te=Te+Math.imul(St,ft)|0;var Ra=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(Ra>>>26)|0,Ra&=67108863,ge=Math.imul(fr,$i),ie=Math.imul(fr,zn),ie=ie+Math.imul(_r,$i)|0,Te=Math.imul(_r,zn),ge=ge+Math.imul(dt,It)|0,ie=ie+Math.imul(dt,ft)|0,ie=ie+Math.imul(Ht,It)|0,Te=Te+Math.imul(Ht,ft)|0;var jo=(ke+ge|0)+((ie&8191)<<13)|0;ke=(Te+(ie>>>13)|0)+(jo>>>26)|0,jo&=67108863,ge=Math.imul(fr,It),ie=Math.imul(fr,ft),ie=ie+Math.imul(_r,It)|0,Te=Math.imul(_r,ft);var oa=(ke+ge|0)+((ie&8191)<<13)|0;return ke=(Te+(ie>>>13)|0)+(oa>>>26)|0,oa&=67108863,Me[0]=jt,Me[1]=Zt,Me[2]=yr,Me[3]=Fr,Me[4]=Zr,Me[5]=Vr,Me[6]=gi,Me[7]=Si,Me[8]=Mi,Me[9]=Pi,Me[10]=Gi,Me[11]=Ki,Me[12]=ka,Me[13]=jn,Me[14]=la,Me[15]=Fa,Me[16]=Ra,Me[17]=jo,Me[18]=oa,ke!==0&&(Me[19]=ke,re.length++),re};Math.imul||(L=A);function _(G,N,W){W.negative=N.negative^G.negative,W.length=G.length+N.length;for(var re=0,ae=0,_e=0;_e>>26)|0,ae+=Me>>>26,Me&=67108863}W.words[_e]=ke,re=Me,Me=ae}return re!==0?W.words[_e]=re:W.length--,W.strip()}function C(G,N,W){var re=new M;return re.mulp(G,N,W)}f.prototype.mulTo=function(N,W){var re,ae=this.length+N.length;return this.length===10&&N.length===10?re=L(this,N,W):ae<63?re=A(this,N,W):ae<1024?re=_(this,N,W):re=C(this,N,W),re};function M(G,N){this.x=G,this.y=N}M.prototype.makeRBT=function(N){for(var W=new Array(N),re=f.prototype._countBits(N)-1,ae=0;ae>=1;return ae},M.prototype.permute=function(N,W,re,ae,_e,Me){for(var ke=0;ke>>1)_e++;return 1<<_e+1+ae},M.prototype.conjugate=function(N,W,re){if(!(re<=1))for(var ae=0;ae>>13,re[2*Me+1]=_e&8191,_e=_e>>>13;for(Me=2*W;Me>=26,W+=ae/67108864|0,W+=_e>>>26,this.words[re]=_e&67108863}return W!==0&&(this.words[re]=W,this.length++),this},f.prototype.muln=function(N){return this.clone().imuln(N)},f.prototype.sqr=function(){return this.mul(this)},f.prototype.isqr=function(){return this.imul(this.clone())},f.prototype.pow=function(N){var W=k(N);if(W.length===0)return new f(1);for(var re=this,ae=0;ae=0);var W=N%26,re=(N-W)/26,ae=67108863>>>26-W<<26-W,_e;if(W!==0){var Me=0;for(_e=0;_e>>26-W}Me&&(this.words[_e]=Me,this.length++)}if(re!==0){for(_e=this.length-1;_e>=0;_e--)this.words[_e+re]=this.words[_e];for(_e=0;_e=0);var ae;W?ae=(W-W%26)/26:ae=0;var _e=N%26,Me=Math.min((N-_e)/26,this.length),ke=67108863^67108863>>>_e<<_e,ge=re;if(ae-=Me,ae=Math.max(0,ae),ge){for(var ie=0;ieMe)for(this.length-=Me,ie=0;ie=0&&(Te!==0||ie>=ae);ie--){var Ee=this.words[ie]|0;this.words[ie]=Te<<26-_e|Ee>>>_e,Te=Ee&ke}return ge&&Te!==0&&(ge.words[ge.length++]=Te),this.length===0&&(this.words[0]=0,this.length=1),this.strip()},f.prototype.ishrn=function(N,W,re){return u(this.negative===0),this.iushrn(N,W,re)},f.prototype.shln=function(N){return this.clone().ishln(N)},f.prototype.ushln=function(N){return this.clone().iushln(N)},f.prototype.shrn=function(N){return this.clone().ishrn(N)},f.prototype.ushrn=function(N){return this.clone().iushrn(N)},f.prototype.testn=function(N){u(typeof N==\"number\"&&N>=0);var W=N%26,re=(N-W)/26,ae=1<=0);var W=N%26,re=(N-W)/26;if(u(this.negative===0,\"imaskn works only with positive numbers\"),this.length<=re)return this;if(W!==0&&re++,this.length=Math.min(re,this.length),W!==0){var ae=67108863^67108863>>>W<=67108864;W++)this.words[W]-=67108864,W===this.length-1?this.words[W+1]=1:this.words[W+1]++;return this.length=Math.max(this.length,W+1),this},f.prototype.isubn=function(N){if(u(typeof N==\"number\"),u(N<67108864),N<0)return this.iaddn(-N);if(this.negative!==0)return this.negative=0,this.iaddn(N),this.negative=1,this;if(this.words[0]-=N,this.length===1&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var W=0;W>26)-(ge/67108864|0),this.words[_e+re]=Me&67108863}for(;_e>26,this.words[_e+re]=Me&67108863;if(ke===0)return this.strip();for(u(ke===-1),ke=0,_e=0;_e>26,this.words[_e]=Me&67108863;return this.negative=1,this.strip()},f.prototype._wordDiv=function(N,W){var re=this.length-N.length,ae=this.clone(),_e=N,Me=_e.words[_e.length-1]|0,ke=this._countBits(Me);re=26-ke,re!==0&&(_e=_e.ushln(re),ae.iushln(re),Me=_e.words[_e.length-1]|0);var ge=ae.length-_e.length,ie;if(W!==\"mod\"){ie=new f(null),ie.length=ge+1,ie.words=new Array(ie.length);for(var Te=0;Te=0;Ae--){var ze=(ae.words[_e.length+Ae]|0)*67108864+(ae.words[_e.length+Ae-1]|0);for(ze=Math.min(ze/Me|0,67108863),ae._ishlnsubmul(_e,ze,Ae);ae.negative!==0;)ze--,ae.negative=0,ae._ishlnsubmul(_e,1,Ae),ae.isZero()||(ae.negative^=1);ie&&(ie.words[Ae]=ze)}return ie&&ie.strip(),ae.strip(),W!==\"div\"&&re!==0&&ae.iushrn(re),{div:ie||null,mod:ae}},f.prototype.divmod=function(N,W,re){if(u(!N.isZero()),this.isZero())return{div:new f(0),mod:new f(0)};var ae,_e,Me;return this.negative!==0&&N.negative===0?(Me=this.neg().divmod(N,W),W!==\"mod\"&&(ae=Me.div.neg()),W!==\"div\"&&(_e=Me.mod.neg(),re&&_e.negative!==0&&_e.iadd(N)),{div:ae,mod:_e}):this.negative===0&&N.negative!==0?(Me=this.divmod(N.neg(),W),W!==\"mod\"&&(ae=Me.div.neg()),{div:ae,mod:Me.mod}):this.negative&N.negative?(Me=this.neg().divmod(N.neg(),W),W!==\"div\"&&(_e=Me.mod.neg(),re&&_e.negative!==0&&_e.isub(N)),{div:Me.div,mod:_e}):N.length>this.length||this.cmp(N)<0?{div:new f(0),mod:this}:N.length===1?W===\"div\"?{div:this.divn(N.words[0]),mod:null}:W===\"mod\"?{div:null,mod:new f(this.modn(N.words[0]))}:{div:this.divn(N.words[0]),mod:new f(this.modn(N.words[0]))}:this._wordDiv(N,W)},f.prototype.div=function(N){return this.divmod(N,\"div\",!1).div},f.prototype.mod=function(N){return this.divmod(N,\"mod\",!1).mod},f.prototype.umod=function(N){return this.divmod(N,\"mod\",!0).mod},f.prototype.divRound=function(N){var W=this.divmod(N);if(W.mod.isZero())return W.div;var re=W.div.negative!==0?W.mod.isub(N):W.mod,ae=N.ushrn(1),_e=N.andln(1),Me=re.cmp(ae);return Me<0||_e===1&&Me===0?W.div:W.div.negative!==0?W.div.isubn(1):W.div.iaddn(1)},f.prototype.modn=function(N){u(N<=67108863);for(var W=(1<<26)%N,re=0,ae=this.length-1;ae>=0;ae--)re=(W*re+(this.words[ae]|0))%N;return re},f.prototype.idivn=function(N){u(N<=67108863);for(var W=0,re=this.length-1;re>=0;re--){var ae=(this.words[re]|0)+W*67108864;this.words[re]=ae/N|0,W=ae%N}return this.strip()},f.prototype.divn=function(N){return this.clone().idivn(N)},f.prototype.egcd=function(N){u(N.negative===0),u(!N.isZero());var W=this,re=N.clone();W.negative!==0?W=W.umod(N):W=W.clone();for(var ae=new f(1),_e=new f(0),Me=new f(0),ke=new f(1),ge=0;W.isEven()&&re.isEven();)W.iushrn(1),re.iushrn(1),++ge;for(var ie=re.clone(),Te=W.clone();!W.isZero();){for(var Ee=0,Ae=1;!(W.words[0]&Ae)&&Ee<26;++Ee,Ae<<=1);if(Ee>0)for(W.iushrn(Ee);Ee-- >0;)(ae.isOdd()||_e.isOdd())&&(ae.iadd(ie),_e.isub(Te)),ae.iushrn(1),_e.iushrn(1);for(var ze=0,Ce=1;!(re.words[0]&Ce)&&ze<26;++ze,Ce<<=1);if(ze>0)for(re.iushrn(ze);ze-- >0;)(Me.isOdd()||ke.isOdd())&&(Me.iadd(ie),ke.isub(Te)),Me.iushrn(1),ke.iushrn(1);W.cmp(re)>=0?(W.isub(re),ae.isub(Me),_e.isub(ke)):(re.isub(W),Me.isub(ae),ke.isub(_e))}return{a:Me,b:ke,gcd:re.iushln(ge)}},f.prototype._invmp=function(N){u(N.negative===0),u(!N.isZero());var W=this,re=N.clone();W.negative!==0?W=W.umod(N):W=W.clone();for(var ae=new f(1),_e=new f(0),Me=re.clone();W.cmpn(1)>0&&re.cmpn(1)>0;){for(var ke=0,ge=1;!(W.words[0]&ge)&&ke<26;++ke,ge<<=1);if(ke>0)for(W.iushrn(ke);ke-- >0;)ae.isOdd()&&ae.iadd(Me),ae.iushrn(1);for(var ie=0,Te=1;!(re.words[0]&Te)&&ie<26;++ie,Te<<=1);if(ie>0)for(re.iushrn(ie);ie-- >0;)_e.isOdd()&&_e.iadd(Me),_e.iushrn(1);W.cmp(re)>=0?(W.isub(re),ae.isub(_e)):(re.isub(W),_e.isub(ae))}var Ee;return W.cmpn(1)===0?Ee=ae:Ee=_e,Ee.cmpn(0)<0&&Ee.iadd(N),Ee},f.prototype.gcd=function(N){if(this.isZero())return N.abs();if(N.isZero())return this.abs();var W=this.clone(),re=N.clone();W.negative=0,re.negative=0;for(var ae=0;W.isEven()&&re.isEven();ae++)W.iushrn(1),re.iushrn(1);do{for(;W.isEven();)W.iushrn(1);for(;re.isEven();)re.iushrn(1);var _e=W.cmp(re);if(_e<0){var Me=W;W=re,re=Me}else if(_e===0||re.cmpn(1)===0)break;W.isub(re)}while(!0);return re.iushln(ae)},f.prototype.invm=function(N){return this.egcd(N).a.umod(N)},f.prototype.isEven=function(){return(this.words[0]&1)===0},f.prototype.isOdd=function(){return(this.words[0]&1)===1},f.prototype.andln=function(N){return this.words[0]&N},f.prototype.bincn=function(N){u(typeof N==\"number\");var W=N%26,re=(N-W)/26,ae=1<>>26,ke&=67108863,this.words[Me]=ke}return _e!==0&&(this.words[Me]=_e,this.length++),this},f.prototype.isZero=function(){return this.length===1&&this.words[0]===0},f.prototype.cmpn=function(N){var W=N<0;if(this.negative!==0&&!W)return-1;if(this.negative===0&&W)return 1;this.strip();var re;if(this.length>1)re=1;else{W&&(N=-N),u(N<=67108863,\"Number is too big\");var ae=this.words[0]|0;re=ae===N?0:aeN.length)return 1;if(this.length=0;re--){var ae=this.words[re]|0,_e=N.words[re]|0;if(ae!==_e){ae<_e?W=-1:ae>_e&&(W=1);break}}return W},f.prototype.gtn=function(N){return this.cmpn(N)===1},f.prototype.gt=function(N){return this.cmp(N)===1},f.prototype.gten=function(N){return this.cmpn(N)>=0},f.prototype.gte=function(N){return this.cmp(N)>=0},f.prototype.ltn=function(N){return this.cmpn(N)===-1},f.prototype.lt=function(N){return this.cmp(N)===-1},f.prototype.lten=function(N){return this.cmpn(N)<=0},f.prototype.lte=function(N){return this.cmp(N)<=0},f.prototype.eqn=function(N){return this.cmpn(N)===0},f.prototype.eq=function(N){return this.cmp(N)===0},f.red=function(N){return new H(N)},f.prototype.toRed=function(N){return u(!this.red,\"Already a number in reduction context\"),u(this.negative===0,\"red works only with positives\"),N.convertTo(this)._forceRed(N)},f.prototype.fromRed=function(){return u(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},f.prototype._forceRed=function(N){return this.red=N,this},f.prototype.forceRed=function(N){return u(!this.red,\"Already a number in reduction context\"),this._forceRed(N)},f.prototype.redAdd=function(N){return u(this.red,\"redAdd works only with red numbers\"),this.red.add(this,N)},f.prototype.redIAdd=function(N){return u(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,N)},f.prototype.redSub=function(N){return u(this.red,\"redSub works only with red numbers\"),this.red.sub(this,N)},f.prototype.redISub=function(N){return u(this.red,\"redISub works only with red numbers\"),this.red.isub(this,N)},f.prototype.redShl=function(N){return u(this.red,\"redShl works only with red numbers\"),this.red.shl(this,N)},f.prototype.redMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.mul(this,N)},f.prototype.redIMul=function(N){return u(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,N),this.red.imul(this,N)},f.prototype.redSqr=function(){return u(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},f.prototype.redISqr=function(){return u(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},f.prototype.redSqrt=function(){return u(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},f.prototype.redInvm=function(){return u(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},f.prototype.redNeg=function(){return u(this.red,\"redNeg works only with red 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re=4194303,ae=Math.min(N.length,9),_e=0;_e>>22,Me=ke}Me>>>=22,N.words[_e-10]=Me,Me===0&&N.length>10?N.length-=10:N.length-=9},T.prototype.imulK=function(N){N.words[N.length]=0,N.words[N.length+1]=0,N.length+=2;for(var W=0,re=0;re>>=26,N.words[re]=_e,W=ae}return W!==0&&(N.words[N.length++]=W),N},f._prime=function(N){if(p[N])return p[N];var W;if(N===\"k256\")W=new T;else if(N===\"p224\")W=new F;else if(N===\"p192\")W=new q;else if(N===\"p25519\")W=new V;else throw new Error(\"Unknown prime \"+N);return p[N]=W,W};function H(G){if(typeof G==\"string\"){var N=f._prime(G);this.m=N.p,this.prime=N}else u(G.gtn(1),\"modulus must be greater than 1\"),this.m=G,this.prime=null}H.prototype._verify1=function(N){u(N.negative===0,\"red works only with positives\"),u(N.red,\"red works only with red numbers\")},H.prototype._verify2=function(N,W){u((N.negative|W.negative)===0,\"red works only with positives\"),u(N.red&&N.red===W.red,\"red works only with red 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s(M._color,M.key,M.value,M.left,M.right,M._count);for(var p=_.length-2;p>=0;--p){var M=_[p];M.left===_[p+1]?C[p]=new s(M._color,M.key,M.value,C[p+1],M.right,M._count):C[p]=new s(M._color,M.key,M.value,M.left,C[p+1],M._count)}if(M=C[C.length-1],M.left&&M.right){var P=C.length;for(M=M.left;M.right;)C.push(M),M=M.right;var T=C[P-1];C.push(new s(M._color,T.key,T.value,M.left,M.right,M._count)),C[P-1].key=M.key,C[P-1].value=M.value;for(var p=C.length-2;p>=P;--p)M=C[p],C[p]=new s(M._color,M.key,M.value,M.left,C[p+1],M._count);C[P-1].left=C[P]}if(M=C[C.length-1],M._color===a){var F=C[C.length-2];F.left===M?F.left=null:F.right===M&&(F.right=null),C.pop();for(var p=0;p0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(g,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(g,\"index\",{get:function(){var _=0,C=this._stack;if(C.length===0){var M=this.tree.root;return M?M._count:0}else C[C.length-1].left&&(_=C[C.length-1].left._count);for(var p=C.length-2;p>=0;--p)C[p+1]===C[p].right&&(++_,C[p].left&&(_+=C[p].left._count));return _},enumerable:!0}),g.next=function(){var _=this._stack;if(_.length!==0){var C=_[_.length-1];if(C.right)for(C=C.right;C;)_.push(C),C=C.left;else for(_.pop();_.length>0&&_[_.length-1].right===C;)C=_[_.length-1],_.pop()}},Object.defineProperty(g,\"hasNext\",{get:function(){var _=this._stack;if(_.length===0)return!1;if(_[_.length-1].right)return!0;for(var C=_.length-1;C>0;--C)if(_[C-1].left===_[C])return!0;return!1}}),g.update=function(_){var C=this._stack;if(C.length===0)throw new Error(\"Can't update empty node!\");var M=new Array(C.length),p=C[C.length-1];M[M.length-1]=new s(p._color,p.key,_,p.left,p.right,p._count);for(var P=C.length-2;P>=0;--P)p=C[P],p.left===C[P+1]?M[P]=new s(p._color,p.key,p.value,M[P+1],p.right,p._count):M[P]=new s(p._color,p.key,p.value,p.left,M[P+1],p._count);return new f(this.tree._compare,M[0])},g.prev=function(){var _=this._stack;if(_.length!==0){var C=_[_.length-1];if(C.left)for(C=C.left;C;)_.push(C),C=C.right;else for(_.pop();_.length>0&&_[_.length-1].left===C;)C=_[_.length-1],_.pop()}},Object.defineProperty(g,\"hasPrev\",{get:function(){var _=this._stack;if(_.length===0)return!1;if(_[_.length-1].left)return!0;for(var C=_.length-1;C>0;--C)if(_[C-1].right===_[C])return!0;return!1}});function A(_,C){return _C?1:0}function L(_){return new f(_||A,null)}},3837:function(i,a,o){\"use strict\";i.exports=q;var s=o(4935),l=o(501),u=o(5304),c=o(6429),f=o(6444),h=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=ArrayBuffer,v=DataView;function x(V){return d.isView(V)&&!(V instanceof v)}function b(V){return Array.isArray(V)||x(V)}function g(V,H){return V[0]=H[0],V[1]=H[1],V[2]=H[2],V}function E(V){this.gl=V,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=u(V)}var k=E.prototype;k.update=function(V){V=V||{};function H(Ae,ze,Ce){if(Ce in V){var me=V[Ce],Re=this[Ce],ce;(Ae?b(me)&&b(me[0]):b(me))?this[Ce]=ce=[ze(me[0]),ze(me[1]),ze(me[2])]:this[Ce]=ce=[ze(me),ze(me),ze(me)];for(var Ge=0;Ge<3;++Ge)if(ce[Ge]!==Re[Ge])return!0}return!1}var X=H.bind(this,!1,Number),G=H.bind(this,!1,Boolean),N=H.bind(this,!1,String),W=H.bind(this,!0,function(Ae){if(b(Ae)){if(Ae.length===3)return[+Ae[0],+Ae[1],+Ae[2],1];if(Ae.length===4)return[+Ae[0],+Ae[1],+Ae[2],+Ae[3]]}return[0,0,0,1]}),re,ae=!1,_e=!1;if(\"bounds\"in V)for(var Me=V.bounds,ke=0;ke<2;++ke)for(var ge=0;ge<3;++ge)Me[ke][ge]!==this.bounds[ke][ge]&&(_e=!0),this.bounds[ke][ge]=Me[ke][ge];if(\"ticks\"in V){re=V.ticks,ae=!0,this.autoTicks=!1;for(var ke=0;ke<3;++ke)this.tickSpacing[ke]=0}else X(\"tickSpacing\")&&(this.autoTicks=!0,_e=!0);if(this._firstInit&&(\"ticks\"in V||\"tickSpacing\"in V||(this.autoTicks=!0),_e=!0,ae=!0,this._firstInit=!1),_e&&this.autoTicks&&(re=f.create(this.bounds,this.tickSpacing),ae=!0),ae){for(var ke=0;ke<3;++ke)re[ke].sort(function(ze,Ce){return ze.x-Ce.x});f.equal(re,this.ticks)?ae=!1:this.ticks=re}G(\"tickEnable\"),N(\"tickFont\")&&(ae=!0),N(\"tickFontStyle\")&&(ae=!0),N(\"tickFontWeight\")&&(ae=!0),N(\"tickFontVariant\")&&(ae=!0),X(\"tickSize\"),X(\"tickAngle\"),X(\"tickPad\"),W(\"tickColor\");var ie=N(\"labels\");N(\"labelFont\")&&(ie=!0),N(\"labelFontStyle\")&&(ie=!0),N(\"labelFontWeight\")&&(ie=!0),N(\"labelFontVariant\")&&(ie=!0),G(\"labelEnable\"),X(\"labelSize\"),X(\"labelPad\"),W(\"labelColor\"),G(\"lineEnable\"),G(\"lineMirror\"),X(\"lineWidth\"),W(\"lineColor\"),G(\"lineTickEnable\"),G(\"lineTickMirror\"),X(\"lineTickLength\"),X(\"lineTickWidth\"),W(\"lineTickColor\"),G(\"gridEnable\"),X(\"gridWidth\"),W(\"gridColor\"),G(\"zeroEnable\"),W(\"zeroLineColor\"),X(\"zeroLineWidth\"),G(\"backgroundEnable\"),W(\"backgroundColor\");var Te=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],Ee=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(ie||ae)&&this._text.update(this.bounds,this.labels,Te,this.ticks,Ee):this._text=s(this.gl,this.bounds,this.labels,Te,this.ticks,Ee),this._lines&&ae&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=l(this.gl,this.bounds,this.ticks))};function A(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}var L=[new A,new A,new A];function _(V,H,X,G,N){for(var W=V.primalOffset,re=V.primalMinor,ae=V.mirrorOffset,_e=V.mirrorMinor,Me=G[H],ke=0;ke<3;++ke)if(H!==ke){var ge=W,ie=ae,Te=re,Ee=_e;Me&1<0?(Te[ke]=-1,Ee[ke]=0):(Te[ke]=0,Ee[ke]=1)}}var C=[0,0,0],M={model:h,view:h,projection:h,_ortho:!1};k.isOpaque=function(){return!0},k.isTransparent=function(){return!1},k.drawTransparent=function(V){};var p=0,P=[0,0,0],T=[0,0,0],F=[0,0,0];k.draw=function(V){V=V||M;for(var Ce=this.gl,H=V.model||h,X=V.view||h,G=V.projection||h,N=this.bounds,W=V._ortho||!1,re=c(H,X,G,N,W),ae=re.cubeEdges,_e=re.axis,Me=X[12],ke=X[13],ge=X[14],ie=X[15],Te=W?2:1,Ee=Te*this.pixelRatio*(G[3]*Me+G[7]*ke+G[11]*ge+G[15]*ie)/Ce.drawingBufferHeight,Ae=0;Ae<3;++Ae)this.lastCubeProps.cubeEdges[Ae]=ae[Ae],this.lastCubeProps.axis[Ae]=_e[Ae];for(var ze=L,Ae=0;Ae<3;++Ae)_(L[Ae],Ae,this.bounds,ae,_e);for(var Ce=this.gl,me=C,Ae=0;Ae<3;++Ae)this.backgroundEnable[Ae]?me[Ae]=_e[Ae]:me[Ae]=0;this._background.draw(H,X,G,N,me,this.backgroundColor),this._lines.bind(H,X,G,this);for(var Ae=0;Ae<3;++Ae){var Re=[0,0,0];_e[Ae]>0?Re[Ae]=N[1][Ae]:Re[Ae]=N[0][Ae];for(var ce=0;ce<2;++ce){var Ge=(Ae+1+ce)%3,nt=(Ae+1+(ce^1))%3;this.gridEnable[Ge]&&this._lines.drawGrid(Ge,nt,this.bounds,Re,this.gridColor[Ge],this.gridWidth[Ge]*this.pixelRatio)}for(var ce=0;ce<2;++ce){var Ge=(Ae+1+ce)%3,nt=(Ae+1+(ce^1))%3;this.zeroEnable[nt]&&Math.min(N[0][nt],N[1][nt])<=0&&Math.max(N[0][nt],N[1][nt])>=0&&this._lines.drawZero(Ge,nt,this.bounds,Re,this.zeroLineColor[nt],this.zeroLineWidth[nt]*this.pixelRatio)}}for(var Ae=0;Ae<3;++Ae){this.lineEnable[Ae]&&this._lines.drawAxisLine(Ae,this.bounds,ze[Ae].primalOffset,this.lineColor[Ae],this.lineWidth[Ae]*this.pixelRatio),this.lineMirror[Ae]&&this._lines.drawAxisLine(Ae,this.bounds,ze[Ae].mirrorOffset,this.lineColor[Ae],this.lineWidth[Ae]*this.pixelRatio);for(var ct=g(P,ze[Ae].primalMinor),qt=g(T,ze[Ae].mirrorMinor),rt=this.lineTickLength,ce=0;ce<3;++ce){var ot=Ee/H[5*ce];ct[ce]*=rt[ce]*ot,qt[ce]*=rt[ce]*ot}this.lineTickEnable[Ae]&&this._lines.drawAxisTicks(Ae,ze[Ae].primalOffset,ct,this.lineTickColor[Ae],this.lineTickWidth[Ae]*this.pixelRatio),this.lineTickMirror[Ae]&&this._lines.drawAxisTicks(Ae,ze[Ae].mirrorOffset,qt,this.lineTickColor[Ae],this.lineTickWidth[Ae]*this.pixelRatio)}this._lines.unbind(),this._text.bind(H,X,G,this.pixelRatio);var Rt,kt=.5,Ct,Yt;function xr(St){Yt=[0,0,0],Yt[St]=1}function er(St,Et,dt){var Ht=(St+1)%3,$t=(St+2)%3,fr=Et[Ht],_r=Et[$t],Br=dt[Ht],Or=dt[$t];if(fr>0&&Or>0){xr(Ht);return}else if(fr>0&&Or<0){xr(Ht);return}else if(fr<0&&Or>0){xr(Ht);return}else if(fr<0&&Or<0){xr(Ht);return}else if(_r>0&&Br>0){xr($t);return}else if(_r>0&&Br<0){xr($t);return}else if(_r<0&&Br>0){xr($t);return}else if(_r<0&&Br<0){xr($t);return}}for(var Ae=0;Ae<3;++Ae){for(var Ke=ze[Ae].primalMinor,xt=ze[Ae].mirrorMinor,bt=g(F,ze[Ae].primalOffset),ce=0;ce<3;++ce)this.lineTickEnable[Ae]&&(bt[ce]+=Ee*Ke[ce]*Math.max(this.lineTickLength[ce],0)/H[5*ce]);var Lt=[0,0,0];if(Lt[Ae]=1,this.tickEnable[Ae]){this.tickAngle[Ae]===-3600?(this.tickAngle[Ae]=0,this.tickAlign[Ae]=\"auto\"):this.tickAlign[Ae]=-1,Ct=1,Rt=[this.tickAlign[Ae],kt,Ct],Rt[0]===\"auto\"?Rt[0]=p:Rt[0]=parseInt(\"\"+Rt[0]),Yt=[0,0,0],er(Ae,Ke,xt);for(var ce=0;ce<3;++ce)bt[ce]+=Ee*Ke[ce]*this.tickPad[ce]/H[5*ce];this._text.drawTicks(Ae,this.tickSize[Ae],this.tickAngle[Ae],bt,this.tickColor[Ae],Lt,Yt,Rt)}if(this.labelEnable[Ae]){Ct=0,Yt=[0,0,0],this.labels[Ae].length>4&&(xr(Ae),Ct=1),Rt=[this.labelAlign[Ae],kt,Ct],Rt[0]===\"auto\"?Rt[0]=p:Rt[0]=parseInt(\"\"+Rt[0]);for(var ce=0;ce<3;++ce)bt[ce]+=Ee*Ke[ce]*this.labelPad[ce]/H[5*ce];bt[Ae]+=.5*(N[0][Ae]+N[1][Ae]),this._text.drawLabel(Ae,this.labelSize[Ae],this.labelAngle[Ae],bt,this.labelColor[Ae],[0,0,0],Yt,Rt)}}this._text.unbind()},k.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null};function q(V,H){var X=new E(V);return X.update(H),X}},5304:function(i,a,o){\"use strict\";i.exports=h;var s=o(2762),l=o(8116),u=o(1879).bg;function c(d,v,x,b){this.gl=d,this.buffer=v,this.vao=x,this.shader=b}var f=c.prototype;f.draw=function(d,v,x,b,g,E){for(var k=!1,A=0;A<3;++A)k=k||g[A];if(k){var L=this.gl;L.enable(L.POLYGON_OFFSET_FILL),L.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:d,view:v,projection:x,bounds:b,enable:g,colors:E},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),L.disable(L.POLYGON_OFFSET_FILL)}},f.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()};function h(d){for(var v=[],x=[],b=0,g=0;g<3;++g)for(var E=(g+1)%3,k=(g+2)%3,A=[0,0,0],L=[0,0,0],_=-1;_<=1;_+=2){x.push(b,b+2,b+1,b+1,b+2,b+3),A[g]=_,L[g]=_;for(var C=-1;C<=1;C+=2){A[E]=C;for(var M=-1;M<=1;M+=2)A[k]=M,v.push(A[0],A[1],A[2],L[0],L[1],L[2]),b+=1}var p=E;E=k,k=p}var P=s(d,new Float32Array(v)),T=s(d,new Uint16Array(x),d.ELEMENT_ARRAY_BUFFER),F=l(d,[{buffer:P,type:d.FLOAT,size:3,offset:0,stride:24},{buffer:P,type:d.FLOAT,size:3,offset:12,stride:24}],T),q=u(d);return q.attributes.position.location=0,q.attributes.normal.location=1,new c(d,P,F,q)}},6429:function(i,a,o){\"use strict\";i.exports=_;var s=o(8828),l=o(6760),u=o(5202),c=o(3250),f=new Array(16),h=new Array(8),d=new Array(8),v=new Array(3),x=[0,0,0];(function(){for(var C=0;C<8;++C)h[C]=[1,1,1,1],d[C]=[1,1,1]})();function b(C,M,p){for(var P=0;P<4;++P){C[P]=p[12+P];for(var T=0;T<3;++T)C[P]+=M[T]*p[4*T+P]}}var g=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function E(C){for(var M=0;M_e&&(X|=1<_e){X|=1<d[q][1])&&(ze=q);for(var Ce=-1,q=0;q<3;++q){var me=ze^1<d[Re][0]&&(Re=me)}}var ce=k;ce[0]=ce[1]=ce[2]=0,ce[s.log2(Ce^ze)]=ze&Ce,ce[s.log2(ze^Re)]=zeℜvar Ge=Re^7;Ge===X||Ge===Ae?(Ge=Ce^7,ce[s.log2(Re^Ge)]=Ge&Re):ce[s.log2(Ce^Ge)]=Ge&Ce;for(var nt=A,ct=X,W=0;W<3;++W)ct&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n", + " b - PI :\n", + " b;\n", + "}\n", + "\n", + "float look_horizontal_or_vertical(float a, float ratio) {\n", + " // ratio controls the ratio between being horizontal to (vertical + horizontal)\n", + " // if ratio is set to 0.5 then it is 50%, 50%.\n", + " // when using a higher ratio e.g. 0.75 the result would\n", + " // likely be more horizontal than vertical.\n", + "\n", + " float b = positive_angle(a);\n", + "\n", + " return\n", + " (b < ( ratio) * HALF_PI) ? 0.0 :\n", + " (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n", + " (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n", + " (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n", + " 0.0;\n", + "}\n", + "\n", + "float roundTo(float a, float b) {\n", + " return float(b * floor((a + 0.5 * b) / b));\n", + "}\n", + "\n", + "float look_round_n_directions(float a, int n) {\n", + " float b = positive_angle(a);\n", + " float div = TWO_PI / float(n);\n", + " float c = roundTo(b, div);\n", + " return look_upwards(c);\n", + "}\n", + "\n", + "float applyAlignOption(float rawAngle, float delta) {\n", + " return\n", + " (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\n", + " (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n", + " (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\n", + " (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n", + " (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\n", + " rawAngle; // otherwise return back raw input angle\n", + "}\n", + "\n", + "bool isAxisTitle = (axis.x == 0.0) &&\n", + " (axis.y == 0.0) &&\n", + " (axis.z == 0.0);\n", + "\n", + "void main() {\n", + " //Compute world offset\n", + " float axisDistance = position.z;\n", + " vec3 dataPosition = axisDistance * axis + offset;\n", + "\n", + " float beta = angle; // i.e. user defined attributes for each tick\n", + "\n", + " float axisAngle;\n", + " float clipAngle;\n", + " float flip;\n", + "\n", + " if (enableAlign) {\n", + " axisAngle = (isAxisTitle) ? HALF_PI :\n", + " computeViewAngle(dataPosition, dataPosition + axis);\n", + " clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n", + "\n", + " axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n", + " clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n", + "\n", + " flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n", + " vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n", + "\n", + " beta += applyAlignOption(clipAngle, flip * PI);\n", + " }\n", + "\n", + " //Compute plane offset\n", + " vec2 planeCoord = position.xy * pixelScale;\n", + "\n", + " mat2 planeXform = scale * mat2(\n", + " cos(beta), sin(beta),\n", + " -sin(beta), cos(beta)\n", + " );\n", + "\n", + " vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n", + "\n", + " //Compute clip position\n", + " vec3 clipPosition = project(dataPosition);\n", + "\n", + " //Apply text offset in clip coordinates\n", + " clipPosition += vec3(viewOffset, 0.0);\n", + "\n", + " //Done\n", + " gl_Position = vec4(clipPosition, 1.0);\n", + "}\n", + "`]),h=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "uniform vec4 color;\n", + "void main() {\n", + " gl_FragColor = color;\n", + "}`]);a.Q=function(x){return l(x,f,h,null,[{name:\"position\",type:\"vec3\"}])};var d=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "attribute vec3 position;\n", + "attribute vec3 normal;\n", + "\n", + "uniform mat4 model, view, projection;\n", + "uniform vec3 enable;\n", + "uniform vec3 bounds[2];\n", + "\n", + "varying vec3 colorChannel;\n", + "\n", + "void main() {\n", + "\n", + " vec3 signAxis = sign(bounds[1] - bounds[0]);\n", + "\n", + " vec3 realNormal = signAxis * normal;\n", + "\n", + " if(dot(realNormal, enable) > 0.0) {\n", + " vec3 minRange = min(bounds[0], bounds[1]);\n", + " vec3 maxRange = max(bounds[0], bounds[1]);\n", + " vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n", + " gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\n", + " } else {\n", + " gl_Position = vec4(0,0,0,0);\n", + " }\n", + "\n", + " colorChannel = abs(realNormal);\n", + "}\n", + "`]),v=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "uniform vec4 colors[3];\n", + "\n", + "varying vec3 colorChannel;\n", + "\n", + "void main() {\n", + " gl_FragColor = colorChannel.x * colors[0] +\n", + " colorChannel.y * colors[1] +\n", + " colorChannel.z * colors[2];\n", + "}`]);a.bg=function(x){return l(x,d,v,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(i,a,o){\"use strict\";i.exports=E;var s=o(2762),l=o(8116),u=o(4359),c=o(1879).Q,f=window||process.global||{},h=f.__TEXT_CACHE||{};f.__TEXT_CACHE={};var d=3;function v(k,A,L,_){this.gl=k,this.shader=A,this.buffer=L,this.vao=_,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var x=v.prototype,b=[0,0];x.bind=function(k,A,L,_){this.vao.bind(),this.shader.bind();var C=this.shader.uniforms;C.model=k,C.view=A,C.projection=L,C.pixelScale=_,b[0]=this.gl.drawingBufferWidth,b[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=b},x.unbind=function(){this.vao.unbind()},x.update=function(k,A,L,_,C){var M=[];function p(W,re,ae,_e,Me,ke){var ge=[ae.style,ae.weight,ae.variant,ae.family].join(\"_\"),ie=h[ge];ie||(ie=h[ge]={});var Te=ie[re];Te||(Te=ie[re]=g(re,{triangles:!0,font:ae.family,fontStyle:ae.style,fontWeight:ae.weight,fontVariant:ae.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:Me,styletags:ke}));for(var Ee=(_e||12)/12,Ae=Te.positions,ze=Te.cells,Ce=0,me=ze.length;Ce=0;--ce){var Ge=Ae[Re[ce]];M.push(Ee*Ge[0],-Ee*Ge[1],W)}}for(var P=[0,0,0],T=[0,0,0],F=[0,0,0],q=[0,0,0],V=1.25,H={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},X=0;X<3;++X){F[X]=M.length/d|0,p(.5*(k[0][X]+k[1][X]),A[X],L[X],12,V,H),q[X]=(M.length/d|0)-F[X],P[X]=M.length/d|0;for(var G=0;G<_[X].length;++G)if(_[X][G].text){var N={family:_[X][G].font||C[X].family,style:C[X].fontStyle||C[X].style,weight:C[X].fontWeight||C[X].weight,variant:C[X].fontVariant||C[X].variant};p(_[X][G].x,_[X][G].text,N,_[X][G].fontSize||12,V,H)}T[X]=(M.length/d|0)-P[X]}this.buffer.update(M),this.tickOffset=P,this.tickCount=T,this.labelOffset=F,this.labelCount=q},x.drawTicks=function(k,A,L,_,C,M,p,P){this.tickCount[k]&&(this.shader.uniforms.axis=M,this.shader.uniforms.color=C,this.shader.uniforms.angle=L,this.shader.uniforms.scale=A,this.shader.uniforms.offset=_,this.shader.uniforms.alignDir=p,this.shader.uniforms.alignOpt=P,this.vao.draw(this.gl.TRIANGLES,this.tickCount[k],this.tickOffset[k]))},x.drawLabel=function(k,A,L,_,C,M,p,P){this.labelCount[k]&&(this.shader.uniforms.axis=M,this.shader.uniforms.color=C,this.shader.uniforms.angle=L,this.shader.uniforms.scale=A,this.shader.uniforms.offset=_,this.shader.uniforms.alignDir=p,this.shader.uniforms.alignOpt=P,this.vao.draw(this.gl.TRIANGLES,this.labelCount[k],this.labelOffset[k]))},x.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()};function g(k,A){try{return u(k,A)}catch(L){return console.warn('error vectorizing text:\"'+k+'\" error:',L),{cells:[],positions:[]}}}function E(k,A,L,_,C,M){var p=s(k),P=l(k,[{buffer:p,size:3}]),T=c(k);T.attributes.position.location=0;var F=new v(k,T,p,P);return F.update(A,L,_,C,M),F}},6444:function(i,a){\"use strict\";a.create=s,a.equal=l;function o(u,c){var f=u+\"\",h=f.indexOf(\".\"),d=0;h>=0&&(d=f.length-h-1);var v=Math.pow(10,d),x=Math.round(u*c*v),b=x+\"\";if(b.indexOf(\"e\")>=0)return b;var g=x/v,E=x%v;x<0?(g=-Math.ceil(g)|0,E=-E|0):(g=Math.floor(g)|0,E=E|0);var k=\"\"+g;if(x<0&&(k=\"-\"+k),d){for(var A=\"\"+E;A.length=u[0][h];--x)d.push({x:x*c[h],text:o(c[h],x)});f.push(d)}return f}function l(u,c){for(var f=0;f<3;++f){if(u[f].length!==c[f].length)return!1;for(var h=0;hk)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return g.bufferSubData(E,_,L),k}function v(g,E){for(var k=s.malloc(g.length,E),A=g.length,L=0;L=0;--A){if(E[A]!==k)return!1;k*=g[A]}return!0}h.update=function(g,E){if(typeof E!=\"number\"&&(E=-1),this.bind(),typeof g==\"object\"&&typeof g.shape!=\"undefined\"){var k=g.dtype;if(c.indexOf(k)<0&&(k=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){var A=gl.getExtension(\"OES_element_index_uint\");A&&k!==\"uint16\"?k=\"uint32\":k=\"uint16\"}if(k===g.dtype&&x(g.shape,g.stride))g.offset===0&&g.data.length===g.shape[0]?this.length=d(this.gl,this.type,this.length,this.usage,g.data,E):this.length=d(this.gl,this.type,this.length,this.usage,g.data.subarray(g.offset,g.shape[0]),E);else{var L=s.malloc(g.size,k),_=u(L,g.shape);l.assign(_,g),E<0?this.length=d(this.gl,this.type,this.length,this.usage,L,E):this.length=d(this.gl,this.type,this.length,this.usage,L.subarray(0,g.size),E),s.free(L)}}else if(Array.isArray(g)){var C;this.type===this.gl.ELEMENT_ARRAY_BUFFER?C=v(g,\"uint16\"):C=v(g,\"float32\"),E<0?this.length=d(this.gl,this.type,this.length,this.usage,C,E):this.length=d(this.gl,this.type,this.length,this.usage,C.subarray(0,g.length),E),s.free(C)}else if(typeof g==\"object\"&&typeof g.length==\"number\")this.length=d(this.gl,this.type,this.length,this.usage,g,E);else if(typeof g==\"number\"||g===void 0){if(E>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");g=g|0,g<=0&&(g=1),this.gl.bufferData(this.type,g|0,this.usage),this.length=g}else throw new Error(\"gl-buffer: Invalid data type\")};function b(g,E,k,A){if(k=k||g.ARRAY_BUFFER,A=A||g.DYNAMIC_DRAW,k!==g.ARRAY_BUFFER&&k!==g.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(A!==g.DYNAMIC_DRAW&&A!==g.STATIC_DRAW&&A!==g.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var L=g.createBuffer(),_=new f(g,k,L,0,A);return _.update(E),_}i.exports=b},6405:function(i,a,o){\"use strict\";var s=o(2931);i.exports=function(u,c){var f=u.positions,h=u.vectors,d={positions:[],vertexIntensity:[],vertexIntensityBounds:u.vertexIntensityBounds,vectors:[],cells:[],coneOffset:u.coneOffset,colormap:u.colormap};if(u.positions.length===0)return c&&(c[0]=[0,0,0],c[1]=[0,0,0]),d;for(var v=0,x=1/0,b=-1/0,g=1/0,E=-1/0,k=1/0,A=-1/0,L=null,_=null,C=[],M=1/0,p=!1,P=u.coneSizemode===\"raw\",T=0;Tv&&(v=s.length(q)),T&&!P){var V=2*s.distance(L,F)/(s.length(_)+s.length(q));V?(M=Math.min(M,V),p=!1):p=!0}p||(L=F,_=q),C.push(q)}var H=[x,g,k],X=[b,E,A];c&&(c[0]=H,c[1]=X),v===0&&(v=1);var G=1/v;isFinite(M)||(M=1),d.vectorScale=M;var N=u.coneSize||(P?1:.5);u.absoluteConeSize&&(N=u.absoluteConeSize*G),d.coneScale=N;for(var T=0,W=0;T=1},g.isTransparent=function(){return this.opacity<1},g.pickSlots=1,g.setPickBase=function(C){this.pickId=C};function E(C){for(var M=v({colormap:C,nshades:256,format:\"rgba\"}),p=new Uint8Array(256*4),P=0;P<256;++P){for(var T=M[P],F=0;F<3;++F)p[4*P+F]=T[F];p[4*P+3]=T[3]*255}return d(p,[256,256,4],[4,0,1])}function k(C){for(var M=C.length,p=new Array(M),P=0;P0){var W=this.triShader;W.bind(),W.uniforms=V,this.triangleVAO.bind(),M.drawArrays(M.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}},g.drawPick=function(C){C=C||{};for(var M=this.gl,p=C.model||x,P=C.view||x,T=C.projection||x,F=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],q=0;q<3;++q)F[0][q]=Math.max(F[0][q],this.clipBounds[0][q]),F[1][q]=Math.min(F[1][q],this.clipBounds[1][q]);this._model=[].slice.call(p),this._view=[].slice.call(P),this._projection=[].slice.call(T),this._resolution=[M.drawingBufferWidth,M.drawingBufferHeight];var V={model:p,view:P,projection:T,clipBounds:F,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},H=this.pickShader;H.bind(),H.uniforms=V,this.triangleCount>0&&(this.triangleVAO.bind(),M.drawArrays(M.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind())},g.pick=function(C){if(!C||C.id!==this.pickId)return null;var M=C.value[0]+256*C.value[1]+65536*C.value[2],p=this.cells[M],P=this.positions[p[1]].slice(0,3),T={position:P,dataCoordinate:P,index:Math.floor(p[1]/48)};return this.traceType===\"cone\"?T.index=Math.floor(p[1]/48):this.traceType===\"streamtube\"&&(T.intensity=this.intensity[p[1]],T.velocity=this.vectors[p[1]].slice(0,3),T.divergence=this.vectors[p[1]][3],T.index=M),T},g.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()};function A(C,M){var p=s(C,M.meshShader.vertex,M.meshShader.fragment,null,M.meshShader.attributes);return p.attributes.position.location=0,p.attributes.color.location=2,p.attributes.uv.location=3,p.attributes.vector.location=4,p}function L(C,M){var p=s(C,M.pickShader.vertex,M.pickShader.fragment,null,M.pickShader.attributes);return p.attributes.position.location=0,p.attributes.id.location=1,p.attributes.vector.location=4,p}function _(C,M,p){var P=p.shaders;arguments.length===1&&(M=C,C=M.gl);var T=A(C,P),F=L(C,P),q=c(C,d(new Uint8Array([255,255,255,255]),[1,1,4]));q.generateMipmap(),q.minFilter=C.LINEAR_MIPMAP_LINEAR,q.magFilter=C.LINEAR;var V=l(C),H=l(C),X=l(C),G=l(C),N=l(C),W=u(C,[{buffer:V,type:C.FLOAT,size:4},{buffer:N,type:C.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:X,type:C.FLOAT,size:4},{buffer:G,type:C.FLOAT,size:2},{buffer:H,type:C.FLOAT,size:4}]),re=new b(C,q,T,F,V,H,N,X,G,W,p.traceType||\"cone\");return re.update(M),re}i.exports=_},614:function(i,a,o){var s=o(3236),l=s([`precision highp float;\n", + "\n", + "precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "vec3 getOrthogonalVector(vec3 v) {\n", + " // Return up-vector for only-z vector.\n", + " // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n", + " // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n", + " // Assign z = 0, x = -b, y = a:\n", + " // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n", + " if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n", + " return normalize(vec3(-v.y, v.x, 0.0));\n", + " } else {\n", + " return normalize(vec3(0.0, v.z, -v.y));\n", + " }\n", + "}\n", + "\n", + "// Calculate the cone vertex and normal at the given index.\n", + "//\n", + "// The returned vertex is for a cone with its top at origin and height of 1.0,\n", + "// pointing in the direction of the vector attribute.\n", + "//\n", + "// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n", + "// These vertices are used to make up the triangles of the cone by the following:\n", + "// segment + 0 top vertex\n", + "// segment + 1 perimeter vertex a+1\n", + "// segment + 2 perimeter vertex a\n", + "// segment + 3 center base vertex\n", + "// segment + 4 perimeter vertex a\n", + "// segment + 5 perimeter vertex a+1\n", + "// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n", + "// To go from index to segment, floor(index / 6)\n", + "// To go from segment to angle, 2*pi * (segment/segmentCount)\n", + "// To go from index to segment index, index - (segment*6)\n", + "//\n", + "vec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n", + "\n", + " const float segmentCount = 8.0;\n", + "\n", + " float index = rawIndex - floor(rawIndex /\n", + " (segmentCount * 6.0)) *\n", + " (segmentCount * 6.0);\n", + "\n", + " float segment = floor(0.001 + index/6.0);\n", + " float segmentIndex = index - (segment*6.0);\n", + "\n", + " normal = -normalize(d);\n", + "\n", + " if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n", + " return mix(vec3(0.0), -d, coneOffset);\n", + " }\n", + "\n", + " float nextAngle = (\n", + " (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n", + " (segmentIndex > 4.99 && segmentIndex < 5.01)\n", + " ) ? 1.0 : 0.0;\n", + " float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n", + "\n", + " vec3 v1 = mix(d, vec3(0.0), coneOffset);\n", + " vec3 v2 = v1 - d;\n", + "\n", + " vec3 u = getOrthogonalVector(d);\n", + " vec3 v = normalize(cross(u, d));\n", + "\n", + " vec3 x = u * cos(angle) * length(d)*0.25;\n", + " vec3 y = v * sin(angle) * length(d)*0.25;\n", + " vec3 v3 = v2 + x + y;\n", + " if (segmentIndex < 3.0) {\n", + " vec3 tx = u * sin(angle);\n", + " vec3 ty = v * -cos(angle);\n", + " vec3 tangent = tx + ty;\n", + " normal = normalize(cross(v3 - v1, tangent));\n", + " }\n", + "\n", + " if (segmentIndex == 0.0) {\n", + " return mix(d, vec3(0.0), coneOffset);\n", + " }\n", + " return v3;\n", + "}\n", + "\n", + "attribute vec3 vector;\n", + "attribute vec4 color, position;\n", + "attribute vec2 uv;\n", + "\n", + "uniform float vectorScale, coneScale, coneOffset;\n", + "uniform mat4 model, view, projection, inverseModel;\n", + "uniform vec3 eyePosition, lightPosition;\n", + "\n", + "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n", + "varying vec4 f_color;\n", + "varying vec2 f_uv;\n", + "\n", + "void main() {\n", + " // Scale the vector magnitude to stay constant with\n", + " // model & view changes.\n", + " vec3 normal;\n", + " vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n", + " vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n", + "\n", + " //Lighting geometry parameters\n", + " vec4 cameraCoordinate = view * conePosition;\n", + " cameraCoordinate.xyz /= cameraCoordinate.w;\n", + " f_lightDirection = lightPosition - cameraCoordinate.xyz;\n", + " f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n", + " f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n", + "\n", + " // vec4 m_position = model * vec4(conePosition, 1.0);\n", + " vec4 t_position = view * conePosition;\n", + " gl_Position = projection * t_position;\n", + "\n", + " f_color = color;\n", + " f_data = conePosition.xyz;\n", + " f_position = position.xyz;\n", + " f_uv = uv;\n", + "}\n", + "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n", + "\n", + "precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "float beckmannDistribution(float x, float roughness) {\n", + " float NdotH = max(x, 0.0001);\n", + " float cos2Alpha = NdotH * NdotH;\n", + " float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n", + " float roughness2 = roughness * roughness;\n", + " float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n", + " return exp(tan2Alpha / roughness2) / denom;\n", + "}\n", + "\n", + "float cookTorranceSpecular(\n", + " vec3 lightDirection,\n", + " vec3 viewDirection,\n", + " vec3 surfaceNormal,\n", + " float roughness,\n", + " float fresnel) {\n", + "\n", + " float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n", + " float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n", + "\n", + " //Half angle vector\n", + " vec3 H = normalize(lightDirection + viewDirection);\n", + "\n", + " //Geometric term\n", + " float NdotH = max(dot(surfaceNormal, H), 0.0);\n", + " float VdotH = max(dot(viewDirection, H), 0.000001);\n", + " float LdotH = max(dot(lightDirection, H), 0.000001);\n", + " float G1 = (2.0 * NdotH * VdotN) / VdotH;\n", + " float G2 = (2.0 * NdotH * LdotN) / LdotH;\n", + " float G = min(1.0, min(G1, G2));\n", + " \n", + " //Distribution term\n", + " float D = beckmannDistribution(NdotH, roughness);\n", + "\n", + " //Fresnel term\n", + " float F = pow(1.0 - VdotN, fresnel);\n", + "\n", + " //Multiply terms and done\n", + " return G * F * D / max(3.14159265 * VdotN, 0.000001);\n", + "}\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "uniform vec3 clipBounds[2];\n", + "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n", + "uniform sampler2D texture;\n", + "\n", + "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n", + "varying vec4 f_color;\n", + "varying vec2 f_uv;\n", + "\n", + "void main() {\n", + " if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n", + " vec3 N = normalize(f_normal);\n", + " vec3 L = normalize(f_lightDirection);\n", + " vec3 V = normalize(f_eyeDirection);\n", + "\n", + " if(gl_FrontFacing) {\n", + " N = -N;\n", + " }\n", + "\n", + " float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n", + " float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n", + "\n", + " vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n", + " vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n", + "\n", + " gl_FragColor = litColor * opacity;\n", + "}\n", + "`]),c=s([`precision highp float;\n", + "\n", + "precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "vec3 getOrthogonalVector(vec3 v) {\n", + " // Return up-vector for only-z vector.\n", + " // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n", + " // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n", + " // Assign z = 0, x = -b, y = a:\n", + " // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n", + " if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n", + " return normalize(vec3(-v.y, v.x, 0.0));\n", + " } else {\n", + " return normalize(vec3(0.0, v.z, -v.y));\n", + " }\n", + "}\n", + "\n", + "// Calculate the cone vertex and normal at the given index.\n", + "//\n", + "// The returned vertex is for a cone with its top at origin and height of 1.0,\n", + "// pointing in the direction of the vector attribute.\n", + "//\n", + "// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n", + "// These vertices are used to make up the triangles of the cone by the following:\n", + "// segment + 0 top vertex\n", + "// segment + 1 perimeter vertex a+1\n", + "// segment + 2 perimeter vertex a\n", + "// segment + 3 center base vertex\n", + "// segment + 4 perimeter vertex a\n", + "// segment + 5 perimeter vertex a+1\n", + "// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n", + "// To go from index to segment, floor(index / 6)\n", + "// To go from segment to angle, 2*pi * (segment/segmentCount)\n", + "// To go from index to segment index, index - (segment*6)\n", + "//\n", + "vec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n", + "\n", + " const float segmentCount = 8.0;\n", + "\n", + " float index = rawIndex - floor(rawIndex /\n", + " (segmentCount * 6.0)) *\n", + " (segmentCount * 6.0);\n", + "\n", + " float segment = floor(0.001 + index/6.0);\n", + " float segmentIndex = index - (segment*6.0);\n", + "\n", + " normal = -normalize(d);\n", + "\n", + " if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n", + " return mix(vec3(0.0), -d, coneOffset);\n", + " }\n", + "\n", + " float nextAngle = (\n", + " (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n", + " (segmentIndex > 4.99 && segmentIndex < 5.01)\n", + " ) ? 1.0 : 0.0;\n", + " float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n", + "\n", + " vec3 v1 = mix(d, vec3(0.0), coneOffset);\n", + " vec3 v2 = v1 - d;\n", + "\n", + " vec3 u = getOrthogonalVector(d);\n", + " vec3 v = normalize(cross(u, d));\n", + "\n", + " vec3 x = u * cos(angle) * length(d)*0.25;\n", + " vec3 y = v * sin(angle) * length(d)*0.25;\n", + " vec3 v3 = v2 + x + y;\n", + " if (segmentIndex < 3.0) {\n", + " vec3 tx = u * sin(angle);\n", + " vec3 ty = v * -cos(angle);\n", + " vec3 tangent = tx + ty;\n", + " normal = normalize(cross(v3 - v1, tangent));\n", + " }\n", + "\n", + " if (segmentIndex == 0.0) {\n", + " return mix(d, vec3(0.0), coneOffset);\n", + " }\n", + " return v3;\n", + "}\n", + "\n", + "attribute vec4 vector;\n", + "attribute vec4 position;\n", + "attribute vec4 id;\n", + "\n", + "uniform mat4 model, view, projection;\n", + "uniform float vectorScale, coneScale, coneOffset;\n", + "\n", + "varying vec3 f_position;\n", + "varying vec4 f_id;\n", + "\n", + "void main() {\n", + " vec3 normal;\n", + " vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n", + " vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n", + " gl_Position = projection * (view * conePosition);\n", + " f_id = id;\n", + " f_position = position.xyz;\n", + "}\n", + "`]),f=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "uniform vec3 clipBounds[2];\n", + "uniform float pickId;\n", + "\n", + "varying vec3 f_position;\n", + "varying vec4 f_id;\n", + "\n", + "void main() {\n", + " if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n", + "\n", + " gl_FragColor = vec4(pickId, f_id.xyz);\n", + 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s=o(737);i.exports=function(u){return s[u]}},9165:function(i,a,o){\"use strict\";i.exports=b;var s=o(2762),l=o(8116),u=o(3436),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(g,E,k,A){this.gl=g,this.shader=A,this.buffer=E,this.vao=k,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var h=f.prototype;h.isOpaque=function(){return!this.hasAlpha},h.isTransparent=function(){return this.hasAlpha},h.drawTransparent=h.draw=function(g){var E=this.gl,k=this.shader.uniforms;this.shader.bind();var A=k.view=g.view||c,L=k.projection=g.projection||c;k.model=g.model||c,k.clipBounds=this.clipBounds,k.opacity=this.opacity;var _=A[12],C=A[13],M=A[14],p=A[15],P=g._ortho||!1,T=P?2:1,F=T*this.pixelRatio*(L[3]*_+L[7]*C+L[11]*M+L[15]*p)/E.drawingBufferHeight;this.vao.bind();for(var 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E=g.gl,k=s(E),A=l(E,[{buffer:k,type:E.FLOAT,size:3,offset:0,stride:40},{buffer:k,type:E.FLOAT,size:4,offset:12,stride:40},{buffer:k,type:E.FLOAT,size:3,offset:28,stride:40}]),L=u(E);L.attributes.position.location=0,L.attributes.color.location=1,L.attributes.offset.location=2;var _=new f(E,k,A,L);return _.update(g),_}},3436:function(i,a,o){\"use strict\";var s=o(3236),l=o(9405),u=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "attribute vec3 position, offset;\n", + "attribute vec4 color;\n", + "uniform mat4 model, view, projection;\n", + "uniform float capSize;\n", + "varying vec4 fragColor;\n", + "varying vec3 fragPosition;\n", + "\n", + "void main() {\n", + " vec4 worldPosition = model * vec4(position, 1.0);\n", + " worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n", + " gl_Position = projection * (view * worldPosition);\n", + " fragColor = color;\n", + " fragPosition = position;\n", + "}`]),c=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "uniform vec3 clipBounds[2];\n", + "uniform float opacity;\n", + "varying vec3 fragPosition;\n", + "varying vec4 fragColor;\n", + "\n", + "void main() {\n", + " if (\n", + " outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n", + " fragColor.a * opacity == 0.\n", + " ) discard;\n", + "\n", + " gl_FragColor = opacity * fragColor;\n", + "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(i,a,o){\"use strict\";var s=o(7766);i.exports=C;var l=null,u,c,f,h;function d(M){var p=M.getParameter(M.FRAMEBUFFER_BINDING),P=M.getParameter(M.RENDERBUFFER_BINDING),T=M.getParameter(M.TEXTURE_BINDING_2D);return[p,P,T]}function v(M,p){M.bindFramebuffer(M.FRAMEBUFFER,p[0]),M.bindRenderbuffer(M.RENDERBUFFER,p[1]),M.bindTexture(M.TEXTURE_2D,p[2])}function x(M,p){var P=M.getParameter(p.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(P+1);for(var T=0;T<=P;++T){for(var F=new Array(P),q=0;q1&&H.drawBuffersWEBGL(l[V]);var re=P.getExtension(\"WEBGL_depth_texture\");re?X?M.depth=g(P,F,q,re.UNSIGNED_INT_24_8_WEBGL,P.DEPTH_STENCIL,P.DEPTH_STENCIL_ATTACHMENT):G&&(M.depth=g(P,F,q,P.UNSIGNED_SHORT,P.DEPTH_COMPONENT,P.DEPTH_ATTACHMENT)):G&&X?M._depth_rb=E(P,F,q,P.DEPTH_STENCIL,P.DEPTH_STENCIL_ATTACHMENT):G?M._depth_rb=E(P,F,q,P.DEPTH_COMPONENT16,P.DEPTH_ATTACHMENT):X&&(M._depth_rb=E(P,F,q,P.STENCIL_INDEX,P.STENCIL_ATTACHMENT));var ae=P.checkFramebufferStatus(P.FRAMEBUFFER);if(ae!==P.FRAMEBUFFER_COMPLETE){M._destroyed=!0,P.bindFramebuffer(P.FRAMEBUFFER,null),P.deleteFramebuffer(M.handle),M.handle=null,M.depth&&(M.depth.dispose(),M.depth=null),M._depth_rb&&(P.deleteRenderbuffer(M._depth_rb),M._depth_rb=null);for(var W=0;WF||P<0||P>F)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");M._shape[0]=p,M._shape[1]=P;for(var q=d(T),V=0;Vq||P<0||P>q)throw new Error(\"gl-fbo: Parameters are too large for FBO\");T=T||{};var V=1;if(\"color\"in T){if(V=Math.max(T.color|0,0),V<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(V>1)if(F){if(V>M.getParameter(F.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+V+\" draw buffers\")}else throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\")}var H=M.UNSIGNED_BYTE,X=M.getExtension(\"OES_texture_float\");if(T.float&&V>0){if(!X)throw new Error(\"gl-fbo: Context does not support floating point textures\");H=M.FLOAT}else T.preferFloat&&V>0&&X&&(H=M.FLOAT);var G=!0;\"depth\"in T&&(G=!!T.depth);var N=!1;return\"stencil\"in T&&(N=!!T.stencil),new A(M,p,P,H,V,G,N,F)}},2992:function(i,a,o){var s=o(3387).sprintf,l=o(5171),u=o(1848),c=o(1085);i.exports=f;function f(h,d,v){\"use strict\";var x=u(d)||\"of unknown name (see npm glsl-shader-name)\",b=\"unknown type\";v!==void 0&&(b=v===l.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var g=s(`Error compiling %s shader %s:\n", + "`,b,x),E=s(\"%s%s\",g,h),k=h.split(`\n", + "`),A={},L=0;L max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "uniform vec3 clipBounds[2];\n", + "uniform sampler2D dashTexture;\n", + "uniform float dashScale;\n", + "uniform float opacity;\n", + "\n", + "varying vec3 worldPosition;\n", + "varying float pixelArcLength;\n", + "varying vec4 fragColor;\n", + "\n", + "void main() {\n", + " if (\n", + " outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n", + " fragColor.a * opacity == 0.\n", + " ) discard;\n", + "\n", + " float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n", + " if(dashWeight < 0.5) {\n", + " discard;\n", + " }\n", + " gl_FragColor = fragColor * opacity;\n", + "}\n", + "`]),f=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "#define FLOAT_MAX 1.70141184e38\n", + "#define FLOAT_MIN 1.17549435e-38\n", + "\n", + "// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\n", + "vec4 packFloat(float v) {\n", + " float av = abs(v);\n", + "\n", + " //Handle special cases\n", + " if(av < FLOAT_MIN) {\n", + " return vec4(0.0, 0.0, 0.0, 0.0);\n", + " } else if(v > FLOAT_MAX) {\n", + " return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n", + " } else if(v < -FLOAT_MAX) {\n", + " return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n", + " }\n", + "\n", + " vec4 c = vec4(0,0,0,0);\n", + "\n", + " //Compute exponent and mantissa\n", + " float e = floor(log2(av));\n", + " float m = av * pow(2.0, -e) - 1.0;\n", + "\n", + " //Unpack mantissa\n", + " c[1] = floor(128.0 * m);\n", + " m -= c[1] / 128.0;\n", + " c[2] = floor(32768.0 * m);\n", + " m -= c[2] / 32768.0;\n", + " c[3] = floor(8388608.0 * m);\n", + "\n", + " //Unpack exponent\n", + " float ebias = e + 127.0;\n", + " c[0] = floor(ebias / 2.0);\n", + " ebias -= c[0] * 2.0;\n", + " c[1] += floor(ebias) * 128.0;\n", + "\n", + " //Unpack sign bit\n", + " c[0] += 128.0 * step(0.0, -v);\n", + "\n", + " //Scale back to range\n", + " return c / 255.0;\n", + "}\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "uniform float pickId;\n", + "uniform vec3 clipBounds[2];\n", + "\n", + "varying vec3 worldPosition;\n", + "varying float pixelArcLength;\n", + "varying vec4 fragColor;\n", + "\n", + "void main() {\n", + " if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n", + "\n", + " gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n", + "}`]),h=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];a.createShader=function(d){return l(d,u,c,null,h)},a.createPickShader=function(d){return l(d,u,f,null,h)}},5714:function(i,a,o){\"use strict\";i.exports=M;var s=o(2762),l=o(8116),u=o(7766),c=new Uint8Array(4),f=new Float32Array(c.buffer);function h(p,P,T,F){return c[0]=F,c[1]=T,c[2]=P,c[3]=p,f[0]}var d=o(2478),v=o(9618),x=o(7319),b=x.createShader,g=x.createPickShader,E=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function k(p,P){for(var T=0,F=0;F<3;++F){var q=p[F]-P[F];T+=q*q}return Math.sqrt(T)}function A(p){for(var P=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],T=0;T<3;++T)P[0][T]=Math.max(p[0][T],P[0][T]),P[1][T]=Math.min(p[1][T],P[1][T]);return P}function L(p,P,T,F){this.arcLength=p,this.position=P,this.index=T,this.dataCoordinate=F}function _(p,P,T,F,q,V){this.gl=p,this.shader=P,this.pickShader=T,this.buffer=F,this.vao=q,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=V,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var C=_.prototype;C.isTransparent=function(){return this.hasAlpha},C.isOpaque=function(){return!this.hasAlpha},C.pickSlots=1,C.setPickBase=function(p){this.pickId=p},C.drawTransparent=C.draw=function(p){if(this.vertexCount){var P=this.gl,T=this.shader,F=this.vao;T.bind(),T.uniforms={model:p.model||E,view:p.view||E,projection:p.projection||E,clipBounds:A(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[P.drawingBufferWidth,P.drawingBufferHeight],pixelRatio:this.pixelRatio},F.bind(),F.draw(P.TRIANGLE_STRIP,this.vertexCount),F.unbind()}},C.drawPick=function(p){if(this.vertexCount){var P=this.gl,T=this.pickShader,F=this.vao;T.bind(),T.uniforms={model:p.model||E,view:p.view||E,projection:p.projection||E,pickId:this.pickId,clipBounds:A(this.clipBounds),screenShape:[P.drawingBufferWidth,P.drawingBufferHeight],pixelRatio:this.pixelRatio},F.bind(),F.draw(P.TRIANGLE_STRIP,this.vertexCount),F.unbind()}},C.update=function(p){var P,T;this.dirty=!0;var F=!!p.connectGaps;\"dashScale\"in p&&(this.dashScale=p.dashScale),this.hasAlpha=!1,\"opacity\"in p&&(this.opacity=+p.opacity,this.opacity<1&&(this.hasAlpha=!0));var q=[],V=[],H=[],X=0,G=0,N=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],W=p.position||p.positions;if(W){var re=p.color||p.colors||[0,0,0,1],ae=p.lineWidth||1,_e=!1;e:for(P=1;P0){for(var ge=0;ge<24;++ge)q.push(q[q.length-12]);G+=2,_e=!0}continue e}N[0][T]=Math.min(N[0][T],Me[T],ke[T]),N[1][T]=Math.max(N[1][T],Me[T],ke[T])}var ie,Te;Array.isArray(re[0])?(ie=re.length>P-1?re[P-1]:re.length>0?re[re.length-1]:[0,0,0,1],Te=re.length>P?re[P]:re.length>0?re[re.length-1]:[0,0,0,1]):ie=Te=re,ie.length===3&&(ie=[ie[0],ie[1],ie[2],1]),Te.length===3&&(Te=[Te[0],Te[1],Te[2],1]),!this.hasAlpha&&ie[3]<1&&(this.hasAlpha=!0);var Ee;Array.isArray(ae)?Ee=ae.length>P-1?ae[P-1]:ae.length>0?ae[ae.length-1]:[0,0,0,1]:Ee=ae;var Ae=X;if(X+=k(Me,ke),_e){for(T=0;T<2;++T)q.push(Me[0],Me[1],Me[2],ke[0],ke[1],ke[2],Ae,Ee,ie[0],ie[1],ie[2],ie[3]);G+=2,_e=!1}q.push(Me[0],Me[1],Me[2],ke[0],ke[1],ke[2],Ae,Ee,ie[0],ie[1],ie[2],ie[3],Me[0],Me[1],Me[2],ke[0],ke[1],ke[2],Ae,-Ee,ie[0],ie[1],ie[2],ie[3],ke[0],ke[1],ke[2],Me[0],Me[1],Me[2],X,-Ee,Te[0],Te[1],Te[2],Te[3],ke[0],ke[1],ke[2],Me[0],Me[1],Me[2],X,Ee,Te[0],Te[1],Te[2],Te[3]),G+=4}}if(this.buffer.update(q),V.push(X),H.push(W[W.length-1].slice()),this.bounds=N,this.vertexCount=G,this.points=H,this.arcLength=V,\"dashes\"in p){var ze=p.dashes,Ce=ze.slice();for(Ce.unshift(0),P=1;P1.0001)return null;T+=P[L]}return Math.abs(T-1)>.001?null:[_,h(v,P),P]}},840:function(i,a,o){var s=o(3236),l=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "attribute vec3 position, normal;\n", + "attribute vec4 color;\n", + "attribute vec2 uv;\n", + "\n", + "uniform mat4 model\n", + " , view\n", + " , projection\n", + " , inverseModel;\n", + "uniform vec3 eyePosition\n", + " , lightPosition;\n", + "\n", + "varying vec3 f_normal\n", + " , f_lightDirection\n", + " , f_eyeDirection\n", + " , f_data;\n", + "varying vec4 f_color;\n", + "varying vec2 f_uv;\n", + "\n", + "vec4 project(vec3 p) {\n", + " return projection * (view * (model * vec4(p, 1.0)));\n", + "}\n", + "\n", + "void main() {\n", + " gl_Position = project(position);\n", + "\n", + " //Lighting geometry parameters\n", + " vec4 cameraCoordinate = view * vec4(position , 1.0);\n", + " cameraCoordinate.xyz /= cameraCoordinate.w;\n", + " f_lightDirection = lightPosition - cameraCoordinate.xyz;\n", + " f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n", + " f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n", + "\n", + " f_color = color;\n", + " f_data = position;\n", + " f_uv = uv;\n", + "}\n", + "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n", + "\n", + "precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "float beckmannDistribution(float x, float roughness) {\n", + " float NdotH = max(x, 0.0001);\n", + " float cos2Alpha = NdotH * NdotH;\n", + " float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n", + " float roughness2 = roughness * roughness;\n", + " float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n", + " return exp(tan2Alpha / roughness2) / denom;\n", + "}\n", + "\n", + "float cookTorranceSpecular(\n", + " vec3 lightDirection,\n", + " vec3 viewDirection,\n", + " vec3 surfaceNormal,\n", + " float roughness,\n", + " float fresnel) {\n", + "\n", + " float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n", + " float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n", + "\n", + " //Half angle vector\n", + " vec3 H = normalize(lightDirection + viewDirection);\n", + "\n", + " //Geometric term\n", + " float NdotH = max(dot(surfaceNormal, H), 0.0);\n", + " float VdotH = max(dot(viewDirection, H), 0.000001);\n", + " float LdotH = max(dot(lightDirection, H), 0.000001);\n", + " float G1 = (2.0 * NdotH * VdotN) / VdotH;\n", + " float G2 = (2.0 * NdotH * LdotN) / LdotH;\n", + " float G = min(1.0, min(G1, G2));\n", + " \n", + " //Distribution term\n", + " float D = beckmannDistribution(NdotH, roughness);\n", + "\n", + " //Fresnel term\n", + " float F = pow(1.0 - VdotN, fresnel);\n", + "\n", + " //Multiply terms and done\n", + " return G * F * D / max(3.14159265 * VdotN, 0.000001);\n", + "}\n", + "\n", + "//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "uniform vec3 clipBounds[2];\n", + "uniform float roughness\n", + " , fresnel\n", + " , kambient\n", + " , kdiffuse\n", + " , kspecular;\n", + "uniform sampler2D texture;\n", + "\n", + "varying vec3 f_normal\n", + " , f_lightDirection\n", + " , f_eyeDirection\n", + " , f_data;\n", + "varying vec4 f_color;\n", + "varying vec2 f_uv;\n", + "\n", + "void main() {\n", + " if (f_color.a == 0.0 ||\n", + " outOfRange(clipBounds[0], clipBounds[1], f_data)\n", + " ) discard;\n", + "\n", + " vec3 N = normalize(f_normal);\n", + " vec3 L = normalize(f_lightDirection);\n", + " vec3 V = normalize(f_eyeDirection);\n", + "\n", + " if(gl_FrontFacing) {\n", + " N = -N;\n", + " }\n", + "\n", + " float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n", + " //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n", + "\n", + " float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n", + "\n", + " vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n", + " vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n", + "\n", + " gl_FragColor = litColor * f_color.a;\n", + "}\n", + "`]),c=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "attribute vec3 position;\n", + "attribute vec4 color;\n", + "attribute vec2 uv;\n", + "\n", + "uniform mat4 model, view, projection;\n", + "\n", + "varying vec4 f_color;\n", + "varying vec3 f_data;\n", + "varying vec2 f_uv;\n", + "\n", + "void main() {\n", + " gl_Position = projection * (view * (model * vec4(position, 1.0)));\n", + " f_color = color;\n", + " f_data = position;\n", + " f_uv = uv;\n", + "}`]),f=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "uniform vec3 clipBounds[2];\n", + "uniform sampler2D texture;\n", + "uniform float opacity;\n", + "\n", + "varying vec4 f_color;\n", + "varying vec3 f_data;\n", + "varying vec2 f_uv;\n", + "\n", + "void main() {\n", + " if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n", + "\n", + " gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n", + "}`]),h=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "attribute vec3 position;\n", + "attribute vec4 color;\n", + "attribute vec2 uv;\n", + "attribute float pointSize;\n", + "\n", + "uniform mat4 model, view, projection;\n", + "uniform vec3 clipBounds[2];\n", + "\n", + "varying vec4 f_color;\n", + "varying vec2 f_uv;\n", + "\n", + "void main() {\n", + " if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n", + "\n", + " gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n", + " } else {\n", + " gl_Position = projection * (view * (model * vec4(position, 1.0)));\n", + " }\n", + " gl_PointSize = pointSize;\n", + " f_color = color;\n", + " f_uv = uv;\n", + "}`]),d=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "uniform sampler2D texture;\n", + "uniform float opacity;\n", + "\n", + "varying vec4 f_color;\n", + "varying vec2 f_uv;\n", + "\n", + "void main() {\n", + " vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n", + " if(dot(pointR, pointR) > 0.25) {\n", + " discard;\n", + " }\n", + " gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n", + "}`]),v=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "attribute vec3 position;\n", + "attribute vec4 id;\n", + "\n", + "uniform mat4 model, view, projection;\n", + "\n", + "varying vec3 f_position;\n", + "varying vec4 f_id;\n", + "\n", + "void main() {\n", + " gl_Position = projection * (view * (model * vec4(position, 1.0)));\n", + " f_id = id;\n", + " f_position = position;\n", + "}`]),x=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "uniform vec3 clipBounds[2];\n", + "uniform float pickId;\n", + "\n", + "varying vec3 f_position;\n", + "varying vec4 f_id;\n", + "\n", + "void main() {\n", + " if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n", + "\n", + " gl_FragColor = vec4(pickId, f_id.xyz);\n", + "}`]),b=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "attribute vec3 position;\n", + "attribute float pointSize;\n", + "attribute vec4 id;\n", + "\n", + "uniform mat4 model, view, projection;\n", + "uniform vec3 clipBounds[2];\n", + "\n", + "varying vec3 f_position;\n", + "varying vec4 f_id;\n", + "\n", + "void main() {\n", + " if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n", + "\n", + " gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n", + " } else {\n", + " gl_Position = projection * (view * (model * vec4(position, 1.0)));\n", + " gl_PointSize = pointSize;\n", + " }\n", + " f_id = id;\n", + " f_position = position;\n", + "}`]),g=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "attribute vec3 position;\n", + "\n", + "uniform mat4 model, view, projection;\n", + "\n", + "void main() {\n", + " gl_Position = projection * (view * (model * vec4(position, 1.0)));\n", + "}`]),E=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "uniform vec3 contourColor;\n", + "\n", + "void main() {\n", + " gl_FragColor = vec4(contourColor, 1.0);\n", + "}\n", + "`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.wireShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},a.pointShader={vertex:h,fragment:d,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},a.pickShader={vertex:v,fragment:x,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},a.pointPickShader={vertex:b,fragment:x,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},a.contourShader={vertex:g,fragment:E,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(i,a,o){\"use strict\";var s=1e-6,l=1e-6,u=o(9405),c=o(2762),f=o(8116),h=o(7766),d=o(8406),v=o(6760),x=o(7608),b=o(9618),g=o(6729),E=o(7765),k=o(1888),A=o(840),L=o(7626),_=A.meshShader,C=A.wireShader,M=A.pointShader,p=A.pickShader,P=A.pointPickShader,T=A.contourShader,F=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function q(ge,ie,Te,Ee,Ae,ze,Ce,me,Re,ce,Ge,nt,ct,qt,rt,ot,Rt,kt,Ct,Yt,xr,er,Ke,xt,bt,Lt,St){this.gl=ge,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=ie,this.dirty=!0,this.triShader=Te,this.lineShader=Ee,this.pointShader=Ae,this.pickShader=ze,this.pointPickShader=Ce,this.contourShader=me,this.trianglePositions=Re,this.triangleColors=Ge,this.triangleNormals=ct,this.triangleUVs=nt,this.triangleIds=ce,this.triangleVAO=qt,this.triangleCount=0,this.lineWidth=1,this.edgePositions=rt,this.edgeColors=Rt,this.edgeUVs=kt,this.edgeIds=ot,this.edgeVAO=Ct,this.edgeCount=0,this.pointPositions=Yt,this.pointColors=er,this.pointUVs=Ke,this.pointSizes=xt,this.pointIds=xr,this.pointVAO=bt,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=Lt,this.contourVAO=St,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=F,this._view=F,this._projection=F,this._resolution=[1,1]}var V=q.prototype;V.isOpaque=function(){return!this.hasAlpha},V.isTransparent=function(){return this.hasAlpha},V.pickSlots=1,V.setPickBase=function(ge){this.pickId=ge};function H(ge,ie){if(!ie||!ie.length)return 1;for(var Te=0;Tege&&Te>0){var Ee=(ie[Te][0]-ge)/(ie[Te][0]-ie[Te-1][0]);return ie[Te][1]*(1-Ee)+Ee*ie[Te-1][1]}}return 1}function X(ge,ie){for(var Te=g({colormap:ge,nshades:256,format:\"rgba\"}),Ee=new Uint8Array(256*4),Ae=0;Ae<256;++Ae){for(var ze=Te[Ae],Ce=0;Ce<3;++Ce)Ee[4*Ae+Ce]=ze[Ce];ie?Ee[4*Ae+3]=255*H(Ae/255,ie):Ee[4*Ae+3]=255*ze[3]}return b(Ee,[256,256,4],[4,0,1])}function G(ge){for(var ie=ge.length,Te=new Array(ie),Ee=0;Ee0){var ct=this.triShader;ct.bind(),ct.uniforms=me,this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var ct=this.lineShader;ct.bind(),ct.uniforms=me,this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()}if(this.pointCount>0){var ct=this.pointShader;ct.bind(),ct.uniforms=me,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var ct=this.contourShader;ct.bind(),ct.uniforms=me,this.contourVAO.bind(),ie.drawArrays(ie.LINES,0,this.contourCount),this.contourVAO.unbind()}},V.drawPick=function(ge){ge=ge||{};for(var ie=this.gl,Te=ge.model||F,Ee=ge.view||F,Ae=ge.projection||F,ze=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],Ce=0;Ce<3;++Ce)ze[0][Ce]=Math.max(ze[0][Ce],this.clipBounds[0][Ce]),ze[1][Ce]=Math.min(ze[1][Ce],this.clipBounds[1][Ce]);this._model=[].slice.call(Te),this._view=[].slice.call(Ee),this._projection=[].slice.call(Ae),this._resolution=[ie.drawingBufferWidth,ie.drawingBufferHeight];var me={model:Te,view:Ee,projection:Ae,clipBounds:ze,pickId:this.pickId/255},Re=this.pickShader;if(Re.bind(),Re.uniforms=me,this.triangleCount>0&&(this.triangleVAO.bind(),ie.drawArrays(ie.TRIANGLES,0,this.triangleCount*3),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),ie.lineWidth(this.lineWidth*this.pixelRatio),ie.drawArrays(ie.LINES,0,this.edgeCount*2),this.edgeVAO.unbind()),this.pointCount>0){var Re=this.pointPickShader;Re.bind(),Re.uniforms=me,this.pointVAO.bind(),ie.drawArrays(ie.POINTS,0,this.pointCount),this.pointVAO.unbind()}},V.pick=function(ge){if(!ge||ge.id!==this.pickId)return null;for(var ie=ge.value[0]+256*ge.value[1]+65536*ge.value[2],Te=this.cells[ie],Ee=this.positions,Ae=new Array(Te.length),ze=0;zeMath.abs(p))g.rotate(F,0,0,-M*P*Math.PI*_.rotateSpeed/window.innerWidth);else if(!_._ortho){var q=-_.zoomSpeed*T*p/window.innerHeight*(F-g.lastT())/20;g.pan(F,0,0,k*(Math.exp(q)-1))}}},!0)},_.enableMouseListeners(),_}},799:function(i,a,o){var s=o(3236),l=o(9405),u=s([`precision mediump float;\n", + "#define GLSLIFY 1\n", + "attribute vec2 position;\n", + "varying vec2 uv;\n", + "void main() {\n", + " uv = position;\n", + " gl_Position = vec4(position, 0, 1);\n", + "}`]),c=s([`precision mediump float;\n", + "#define GLSLIFY 1\n", + "\n", + "uniform sampler2D accumBuffer;\n", + "varying vec2 uv;\n", + "\n", + "void main() {\n", + " vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n", + " gl_FragColor = min(vec4(1,1,1,1), accum);\n", + "}`]);i.exports=function(f){return l(f,u,c,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(i,a,o){\"use strict\";var s=o(4437),l=o(3837),u=o(5445),c=o(4449),f=o(3589),h=o(2260),d=o(7169),v=o(351),x=o(4772),b=o(4040),g=o(799),E=o(9216)({tablet:!0,featureDetect:!0});i.exports={createScene:C,createCamera:s};function k(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function A(p,P){var T=null;try{T=p.getContext(\"webgl\",P),T||(T=p.getContext(\"experimental-webgl\",P))}catch(F){return null}return T}function L(p){var P=Math.round(Math.log(Math.abs(p))/Math.log(10));if(P<0){var T=Math.round(Math.pow(10,-P));return Math.ceil(p*T)/T}else if(P>0){var T=Math.round(Math.pow(10,P));return Math.ceil(p/T)*T}return Math.ceil(p)}function _(p){return typeof p==\"boolean\"?p:!0}function C(p){p=p||{},p.camera=p.camera||{};var P=p.canvas;if(!P)if(P=document.createElement(\"canvas\"),p.container){var T=p.container;T.appendChild(P)}else document.body.appendChild(P);var F=p.gl;if(F||(p.glOptions&&(E=!!p.glOptions.preserveDrawingBuffer),F=A(P,p.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:E})),!F)throw new Error(\"webgl not supported\");var q=p.bounds||[[-10,-10,-10],[10,10,10]],V=new k,H=h(F,F.drawingBufferWidth,F.drawingBufferHeight,{preferFloat:!E}),X=g(F),G=p.cameraObject&&p.cameraObject._ortho===!0||p.camera.projection&&p.camera.projection.type===\"orthographic\"||!1,N={eye:p.camera.eye||[2,0,0],center:p.camera.center||[0,0,0],up:p.camera.up||[0,1,0],zoomMin:p.camera.zoomMax||.1,zoomMax:p.camera.zoomMin||100,mode:p.camera.mode||\"turntable\",_ortho:G},W=p.axes||{},re=l(F,W);re.enable=!W.disable;var ae=p.spikes||{},_e=c(F,ae),Me=[],ke=[],ge=[],ie=[],Te=!0,Ce=!0,Ee=new Array(16),Ae=new Array(16),ze={view:null,projection:Ee,model:Ae,_ortho:!1},Ce=!0,me=[F.drawingBufferWidth,F.drawingBufferHeight],Re=p.cameraObject||s(P,N),ce={gl:F,contextLost:!1,pixelRatio:p.pixelRatio||1,canvas:P,selection:V,camera:Re,axes:re,axesPixels:null,spikes:_e,bounds:q,objects:Me,shape:me,aspect:p.aspectRatio||[1,1,1],pickRadius:p.pickRadius||10,zNear:p.zNear||.01,zFar:p.zFar||1e3,fovy:p.fovy||Math.PI/4,clearColor:p.clearColor||[0,0,0,0],autoResize:_(p.autoResize),autoBounds:_(p.autoBounds),autoScale:!!p.autoScale,autoCenter:_(p.autoCenter),clipToBounds:_(p.clipToBounds),snapToData:!!p.snapToData,onselect:p.onselect||null,onrender:p.onrender||null,onclick:p.onclick||null,cameraParams:ze,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(Yt){this.aspect[0]=Yt.x,this.aspect[1]=Yt.y,this.aspect[2]=Yt.z,Ce=!0},setBounds:function(Yt,xr){this.bounds[0][Yt]=xr.min,this.bounds[1][Yt]=xr.max},setClearColor:function(Yt){this.clearColor=Yt},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},Ge=[F.drawingBufferWidth/ce.pixelRatio|0,F.drawingBufferHeight/ce.pixelRatio|0];function nt(){if(!ce._stopped&&ce.autoResize){var Yt=P.parentNode,xr=1,er=1;Yt&&Yt!==document.body?(xr=Yt.clientWidth,er=Yt.clientHeight):(xr=window.innerWidth,er=window.innerHeight);var Ke=Math.ceil(xr*ce.pixelRatio)|0,xt=Math.ceil(er*ce.pixelRatio)|0;if(Ke!==P.width||xt!==P.height){P.width=Ke,P.height=xt;var bt=P.style;bt.position=bt.position||\"absolute\",bt.left=\"0px\",bt.top=\"0px\",bt.width=xr+\"px\",bt.height=er+\"px\",Te=!0}}}ce.autoResize&&nt(),window.addEventListener(\"resize\",nt);function ct(){for(var Yt=Me.length,xr=ie.length,er=0;er0&&ge[xr-1]===0;)ge.pop(),ie.pop().dispose()}ce.update=function(Yt){ce._stopped||(Yt=Yt||{},Te=!0,Ce=!0)},ce.add=function(Yt){ce._stopped||(Yt.axes=re,Me.push(Yt),ke.push(-1),Te=!0,Ce=!0,ct())},ce.remove=function(Yt){if(!ce._stopped){var xr=Me.indexOf(Yt);xr<0||(Me.splice(xr,1),ke.pop(),Te=!0,Ce=!0,ct())}},ce.dispose=function(){if(!ce._stopped&&(ce._stopped=!0,window.removeEventListener(\"resize\",nt),P.removeEventListener(\"webglcontextlost\",qt),ce.mouseListener.enabled=!1,!ce.contextLost)){re.dispose(),_e.dispose();for(var Yt=0;YtV.distance)continue;for(var dt=0;dt1e-6?(E=Math.acos(k),A=Math.sin(E),L=Math.sin((1-u)*E)/A,_=Math.sin(u*E)/A):(L=1-u,_=u),o[0]=L*c+_*v,o[1]=L*f+_*x,o[2]=L*h+_*b,o[3]=L*d+_*g,o}},5964:function(i){\"use strict\";i.exports=function(a){return!a&&a!==0?\"\":a.toString()}},9366:function(i,a,o){\"use strict\";var s=o(4359);i.exports=u;var l={};function u(c,f,h){var d=[f.style,f.weight,f.variant,f.family].join(\"_\"),v=l[d];if(v||(v=l[d]={}),c in v)return v[c];var x={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:f.family,fontStyle:f.style,fontWeight:f.weight,fontVariant:f.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0}};x.triangles=!0;var b=s(c,x);x.triangles=!1;var g=s(c,x),E,k;if(h&&h!==1){for(E=0;E max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "attribute vec3 position;\n", + "attribute vec4 color;\n", + "attribute vec2 glyph;\n", + "attribute vec4 id;\n", + "\n", + "uniform vec4 highlightId;\n", + "uniform float highlightScale;\n", + "uniform mat4 model, view, projection;\n", + "uniform vec3 clipBounds[2];\n", + "\n", + "varying vec4 interpColor;\n", + "varying vec4 pickId;\n", + "varying vec3 dataCoordinate;\n", + "\n", + "void main() {\n", + " if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n", + "\n", + " gl_Position = vec4(0,0,0,0);\n", + " } else {\n", + " float scale = 1.0;\n", + " if(distance(highlightId, id) < 0.0001) {\n", + " scale = highlightScale;\n", + " }\n", + "\n", + " vec4 worldPosition = model * vec4(position, 1);\n", + " vec4 viewPosition = view * worldPosition;\n", + " viewPosition = viewPosition / viewPosition.w;\n", + " vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n", + "\n", + " gl_Position = clipPosition;\n", + " interpColor = color;\n", + " pickId = id;\n", + " dataCoordinate = position;\n", + " }\n", + "}`]),c=l([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "attribute vec3 position;\n", + "attribute vec4 color;\n", + "attribute vec2 glyph;\n", + "attribute vec4 id;\n", + "\n", + "uniform mat4 model, view, projection;\n", + "uniform vec2 screenSize;\n", + "uniform vec3 clipBounds[2];\n", + "uniform float highlightScale, pixelRatio;\n", + "uniform vec4 highlightId;\n", + "\n", + "varying vec4 interpColor;\n", + "varying vec4 pickId;\n", + "varying vec3 dataCoordinate;\n", + "\n", + "void main() {\n", + " if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n", + "\n", + " gl_Position = vec4(0,0,0,0);\n", + " } else {\n", + " float scale = pixelRatio;\n", + " if(distance(highlightId.bgr, id.bgr) < 0.001) {\n", + " scale *= highlightScale;\n", + " }\n", + "\n", + " vec4 worldPosition = model * vec4(position, 1.0);\n", + " vec4 viewPosition = view * worldPosition;\n", + " vec4 clipPosition = projection * viewPosition;\n", + " clipPosition /= clipPosition.w;\n", + "\n", + " gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n", + " interpColor = color;\n", + " pickId = id;\n", + " dataCoordinate = position;\n", + " }\n", + "}`]),f=l([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "attribute vec3 position;\n", + "attribute vec4 color;\n", + "attribute vec2 glyph;\n", + "attribute vec4 id;\n", + "\n", + "uniform float highlightScale;\n", + "uniform vec4 highlightId;\n", + "uniform vec3 axes[2];\n", + "uniform mat4 model, view, projection;\n", + "uniform vec2 screenSize;\n", + "uniform vec3 clipBounds[2];\n", + "uniform float scale, pixelRatio;\n", + "\n", + "varying vec4 interpColor;\n", + "varying vec4 pickId;\n", + "varying vec3 dataCoordinate;\n", + "\n", + "void main() {\n", + " if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n", + "\n", + " gl_Position = vec4(0,0,0,0);\n", + " } else {\n", + " float lscale = pixelRatio * scale;\n", + " if(distance(highlightId, id) < 0.0001) {\n", + " lscale *= highlightScale;\n", + " }\n", + "\n", + " vec4 clipCenter = projection * (view * (model * vec4(position, 1)));\n", + " vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n", + " vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\n", + "\n", + " gl_Position = clipPosition;\n", + " interpColor = color;\n", + " pickId = id;\n", + " dataCoordinate = dataPosition;\n", + " }\n", + "}\n", + "`]),h=l([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "uniform vec3 fragClipBounds[2];\n", + "uniform float opacity;\n", + "\n", + "varying vec4 interpColor;\n", + "varying vec3 dataCoordinate;\n", + "\n", + "void main() {\n", + " if (\n", + " outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n", + " interpColor.a * opacity == 0.\n", + " ) discard;\n", + " gl_FragColor = interpColor * opacity;\n", + "}\n", + "`]),d=l([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "uniform vec3 fragClipBounds[2];\n", + "uniform float pickGroup;\n", + "\n", + "varying vec4 pickId;\n", + "varying vec3 dataCoordinate;\n", + "\n", + "void main() {\n", + " if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n", + "\n", + " gl_FragColor = vec4(pickGroup, pickId.bgr);\n", + "}`]),v=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],x={vertex:u,fragment:h,attributes:v},b={vertex:c,fragment:h,attributes:v},g={vertex:f,fragment:h,attributes:v},E={vertex:u,fragment:d,attributes:v},k={vertex:c,fragment:d,attributes:v},A={vertex:f,fragment:d,attributes:v};function L(_,C){var M=s(_,C),p=M.attributes;return 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p=M.prototype;p.pickSlots=1,p.setPickBase=function(Ae){this.pickId=Ae},p.isTransparent=function(){if(this.hasAlpha)return!0;for(var Ae=0;Ae<3;++Ae)if(this.axesProject[Ae]&&this.projectHasAlpha)return!0;return!1},p.isOpaque=function(){if(!this.hasAlpha)return!0;for(var Ae=0;Ae<3;++Ae)if(this.axesProject[Ae]&&!this.projectHasAlpha)return!0;return!1};var P=[0,0],T=[0,0,0],F=[0,0,0],q=[0,0,0,1],V=[0,0,0,1],H=x.slice(),X=[0,0,0],G=[[0,0,0],[0,0,0]];function N(Ae){return Ae[0]=Ae[1]=Ae[2]=0,Ae}function W(Ae,ze){return Ae[0]=ze[0],Ae[1]=ze[1],Ae[2]=ze[2],Ae[3]=1,Ae}function re(Ae,ze,Ce,me){return Ae[0]=ze[0],Ae[1]=ze[1],Ae[2]=ze[2],Ae[Ce]=me,Ae}function ae(Ae){for(var ze=G,Ce=0;Ce<2;++Ce)for(var me=0;me<3;++me)ze[Ce][me]=Math.max(Math.min(Ae[Ce][me],1e8),-1e8);return ze}function _e(Ae,ze,Ce,me){var Re=ze.axesProject,ce=ze.gl,Ge=Ae.uniforms,nt=Ce.model||x,ct=Ce.view||x,qt=Ce.projection||x,rt=ze.axesBounds,ot=ae(ze.clipBounds),Rt;ze.axes&&ze.axes.lastCubeProps?Rt=ze.axes.lastCubeProps.axis:Rt=[1,1,1],P[0]=2/ce.drawingBufferWidth,P[1]=2/ce.drawingBufferHeight,Ae.bind(),Ge.view=ct,Ge.projection=qt,Ge.screenSize=P,Ge.highlightId=ze.highlightId,Ge.highlightScale=ze.highlightScale,Ge.clipBounds=ot,Ge.pickGroup=ze.pickId/255,Ge.pixelRatio=me;for(var kt=0;kt<3;++kt)if(Re[kt]){Ge.scale=ze.projectScale[kt],Ge.opacity=ze.projectOpacity[kt];for(var Ct=H,Yt=0;Yt<16;++Yt)Ct[Yt]=0;for(var Yt=0;Yt<4;++Yt)Ct[5*Yt]=1;Ct[5*kt]=0,Rt[kt]<0?Ct[12+kt]=rt[0][kt]:Ct[12+kt]=rt[1][kt],f(Ct,nt,Ct),Ge.model=Ct;var xr=(kt+1)%3,er=(kt+2)%3,Ke=N(T),xt=N(F);Ke[xr]=1,xt[er]=1;var bt=L(qt,ct,nt,W(q,Ke)),Lt=L(qt,ct,nt,W(V,xt));if(Math.abs(bt[1])>Math.abs(Lt[1])){var St=bt;bt=Lt,Lt=St,St=Ke,Ke=xt,xt=St;var Et=xr;xr=er,er=Et}bt[0]<0&&(Ke[xr]=-1),Lt[1]>0&&(xt[er]=-1);for(var 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ze=Ae.value[2]+(Ae.value[1]<<8)+(Ae.value[0]<<16);if(ze>=this.pointCount||ze<0)return null;var Ce=this.points[ze],me=this._selectResult;me.index=ze;for(var Re=0;Re<3;++Re)me.position[Re]=me.dataCoordinate[Re]=Ce[Re];return me},p.highlight=function(Ae){if(!Ae)this.highlightId=[1,1,1,1];else{var ze=Ae.index,Ce=ze&255,me=ze>>8&255,Re=ze>>16&255;this.highlightId=[Ce/255,me/255,Re/255,0]}};function Te(Ae,ze,Ce,me){var Re;k(Ae)?ze0){var Nr=0,ut=er,Ne=[0,0,0,1],Ye=[0,0,0,1],Ve=k(Rt)&&k(Rt[0]),Xe=k(Yt)&&k(Yt[0]);e:for(var me=0;me0?1-Ht[0][0]:Vt<0?1+Ht[1][0]:1,ar*=ar>0?1-Ht[0][1]:ar<0?1+Ht[1][1]:1;for(var Qr=[Vt,ar],nn=Et.cells||[],Wi=Et.positions||[],Lt=0;Ltthis.buffer.length){l.free(this.buffer);for(var k=this.buffer=l.mallocUint8(c(E*g*4)),A=0;Ak)for(g=k;gE)for(g=E;g=0){for(var G=X.type.charAt(X.type.length-1)|0,N=new Array(G),W=0;W=0;)re+=1;V[H]=re}var ae=new Array(k.length);function _e(){_.program=c.program(C,_._vref,_._fref,q,V);for(var Me=0;Me=0){var p=C.charCodeAt(C.length-1)-48;if(p<2||p>4)throw new s(\"\",\"Invalid data type for attribute \"+_+\": \"+C);f(v,x,M[0],g,p,E,_)}else if(C.indexOf(\"mat\")>=0){var p=C.charCodeAt(C.length-1)-48;if(p<2||p>4)throw new s(\"\",\"Invalid data type for attribute \"+_+\": \"+C);h(v,x,M,g,p,E,_)}else throw new s(\"\",\"Unknown data type for attribute \"+_+\": \"+C);break}}return E}},3327:function(i,a,o){\"use strict\";var s=o(216),l=o(8866);i.exports=f;function u(h){return function(){return h}}function c(h,d){for(var v=new Array(h),x=0;x4)throw new l(\"\",\"Invalid data type\");switch(re.charAt(0)){case\"b\":case\"i\":h[\"uniform\"+ae+\"iv\"](x[V],H);break;case\"v\":h[\"uniform\"+ae+\"fv\"](x[V],H);break;default:throw new l(\"\",\"Unrecognized data type for vector \"+name+\": \"+re)}}else if(re.indexOf(\"mat\")===0&&re.length===4){if(ae=re.charCodeAt(re.length-1)-48,ae<2||ae>4)throw new l(\"\",\"Invalid uniform dimension type for matrix \"+name+\": 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P=L(p);Object.defineProperty(C,M,{get:u(P),set:g(p),enumerable:!0,configurable:!1})}else x[p]?Object.defineProperty(C,M,{get:b(p),set:g(p),enumerable:!0,configurable:!1}):C[M]=k(v[p].type)}function L(C){var M;if(Array.isArray(C)){M=new Array(C.length);for(var p=0;p1){v[0]in h||(h[v[0]]=[]),h=h[v[0]];for(var x=1;x1)for(var E=0;E 0 U ||b|| > 0.\n", + " // Assign z = 0, x = -b, y = a:\n", + " // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n", + " if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n", + " return normalize(vec3(-v.y, v.x, 0.0));\n", + " } else {\n", + " return normalize(vec3(0.0, v.z, -v.y));\n", + " }\n", + "}\n", + "\n", + "// Calculate the tube vertex and normal at the given index.\n", + "//\n", + "// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n", + "//\n", + "// Each tube segment is made up of a ring of vertices.\n", + "// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n", + "// The indexes of tube segments run from 0 to 8.\n", + "//\n", + "vec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n", + " float segmentCount = 8.0;\n", + "\n", + " float angle = 2.0 * 3.14159 * (index / segmentCount);\n", + "\n", + " vec3 u = getOrthogonalVector(d);\n", + " vec3 v = normalize(cross(u, d));\n", + "\n", + " vec3 x = u * cos(angle) * length(d);\n", + " vec3 y = v * sin(angle) * length(d);\n", + " vec3 v3 = x + y;\n", + "\n", + " normal = normalize(v3);\n", + "\n", + " return v3;\n", + "}\n", + "\n", + "attribute vec4 vector;\n", + "attribute vec4 color, position;\n", + "attribute vec2 uv;\n", + "\n", + "uniform float vectorScale, tubeScale;\n", + "uniform mat4 model, view, projection, inverseModel;\n", + "uniform vec3 eyePosition, lightPosition;\n", + "\n", + "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n", + "varying vec4 f_color;\n", + "varying vec2 f_uv;\n", + "\n", + "void main() {\n", + " // Scale the vector magnitude to stay constant with\n", + " // model & view changes.\n", + " vec3 normal;\n", + " vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n", + " vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n", + "\n", + " //Lighting geometry parameters\n", + " vec4 cameraCoordinate = view * tubePosition;\n", + " cameraCoordinate.xyz /= cameraCoordinate.w;\n", + " f_lightDirection = lightPosition - cameraCoordinate.xyz;\n", + " f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n", + " f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n", + "\n", + " // vec4 m_position = model * vec4(tubePosition, 1.0);\n", + " vec4 t_position = view * tubePosition;\n", + " gl_Position = projection * t_position;\n", + "\n", + " f_color = color;\n", + " f_data = tubePosition.xyz;\n", + " f_position = position.xyz;\n", + " f_uv = uv;\n", + "}\n", + "`]),u=s([`#extension GL_OES_standard_derivatives : enable\n", + "\n", + "precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "float beckmannDistribution(float x, float roughness) {\n", + " float NdotH = max(x, 0.0001);\n", + " float cos2Alpha = NdotH * NdotH;\n", + " float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n", + " float roughness2 = roughness * roughness;\n", + " float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n", + " return exp(tan2Alpha / roughness2) / denom;\n", + "}\n", + "\n", + "float cookTorranceSpecular(\n", + " vec3 lightDirection,\n", + " vec3 viewDirection,\n", + " vec3 surfaceNormal,\n", + " float roughness,\n", + " float fresnel) {\n", + "\n", + " float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n", + " float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n", + "\n", + " //Half angle vector\n", + " vec3 H = normalize(lightDirection + viewDirection);\n", + "\n", + " //Geometric term\n", + " float NdotH = max(dot(surfaceNormal, H), 0.0);\n", + " float VdotH = max(dot(viewDirection, H), 0.000001);\n", + " float LdotH = max(dot(lightDirection, H), 0.000001);\n", + " float G1 = (2.0 * NdotH * VdotN) / VdotH;\n", + " float G2 = (2.0 * NdotH * LdotN) / LdotH;\n", + " float G = min(1.0, min(G1, G2));\n", + " \n", + " //Distribution term\n", + " float D = beckmannDistribution(NdotH, roughness);\n", + "\n", + " //Fresnel term\n", + " float F = pow(1.0 - VdotN, fresnel);\n", + "\n", + " //Multiply terms and done\n", + " return G * F * D / max(3.14159265 * VdotN, 0.000001);\n", + "}\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "uniform vec3 clipBounds[2];\n", + "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n", + "uniform sampler2D texture;\n", + "\n", + "varying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\n", + "varying vec4 f_color;\n", + "varying vec2 f_uv;\n", + "\n", + "void main() {\n", + " if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n", + " vec3 N = normalize(f_normal);\n", + " vec3 L = normalize(f_lightDirection);\n", + " vec3 V = normalize(f_eyeDirection);\n", + "\n", + " if(gl_FrontFacing) {\n", + " N = -N;\n", + " }\n", + "\n", + " float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n", + " float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n", + "\n", + " vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n", + " vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n", + "\n", + " gl_FragColor = litColor * opacity;\n", + "}\n", + "`]),c=s([`precision highp float;\n", + "\n", + "precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "vec3 getOrthogonalVector(vec3 v) {\n", + " // Return up-vector for only-z vector.\n", + " // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n", + " // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n", + " // Assign z = 0, x = -b, y = a:\n", + " // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n", + " if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n", + " return normalize(vec3(-v.y, v.x, 0.0));\n", + " } else {\n", + " return normalize(vec3(0.0, v.z, -v.y));\n", + " }\n", + "}\n", + "\n", + "// Calculate the tube vertex and normal at the given index.\n", + "//\n", + "// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n", + "//\n", + "// Each tube segment is made up of a ring of vertices.\n", + "// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n", + "// The indexes of tube segments run from 0 to 8.\n", + "//\n", + "vec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n", + " float segmentCount = 8.0;\n", + "\n", + " float angle = 2.0 * 3.14159 * (index / segmentCount);\n", + "\n", + " vec3 u = getOrthogonalVector(d);\n", + " vec3 v = normalize(cross(u, d));\n", + "\n", + " vec3 x = u * cos(angle) * length(d);\n", + " vec3 y = v * sin(angle) * length(d);\n", + " vec3 v3 = x + y;\n", + "\n", + " normal = normalize(v3);\n", + "\n", + " return v3;\n", + "}\n", + "\n", + "attribute vec4 vector;\n", + "attribute vec4 position;\n", + "attribute vec4 id;\n", + "\n", + "uniform mat4 model, view, projection;\n", + "uniform float tubeScale;\n", + "\n", + "varying vec3 f_position;\n", + "varying vec4 f_id;\n", + "\n", + "void main() {\n", + " vec3 normal;\n", + " vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n", + " vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n", + "\n", + " gl_Position = projection * (view * tubePosition);\n", + " f_id = id;\n", + " f_position = position.xyz;\n", + "}\n", + "`]),f=s([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "uniform vec3 clipBounds[2];\n", + "uniform float pickId;\n", + "\n", + "varying vec3 f_position;\n", + "varying vec4 f_id;\n", + "\n", + "void main() {\n", + " if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n", + "\n", + " gl_FragColor = vec4(pickId, f_id.xyz);\n", + "}`]);a.meshShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},a.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(i,a,o){\"use strict\";var s=o(2931),l=o(9970),u=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],c=function(A,L,_,C){for(var M=A.points,p=A.velocities,P=A.divergences,T=[],F=[],q=[],V=[],H=[],X=[],G=0,N=0,W=l.create(),re=l.create(),ae=8,_e=0;_e0)for(var ie=0;ieL)return C-1}return C},d=function(A,L,_){return A_?_:A},v=function(A,L,_){var C=L.vectors,M=L.meshgrid,p=A[0],P=A[1],T=A[2],F=M[0].length,q=M[1].length,V=M[2].length,H=h(M[0],p),X=h(M[1],P),G=h(M[2],T),N=H+1,W=X+1,re=G+1;if(H=d(H,0,F-1),N=d(N,0,F-1),X=d(X,0,q-1),W=d(W,0,q-1),G=d(G,0,V-1),re=d(re,0,V-1),H<0||X<0||G<0||N>F-1||W>q-1||re>V-1)return s.create();var ae=M[0][H],_e=M[0][N],Me=M[1][X],ke=M[1][W],ge=M[2][G],ie=M[2][re],Te=(p-ae)/(_e-ae),Ee=(P-Me)/(ke-Me),Ae=(T-ge)/(ie-ge);isFinite(Te)||(Te=.5),isFinite(Ee)||(Ee=.5),isFinite(Ae)||(Ae=.5);var ze,Ce,me,Re,ce,Ge;switch(_.reversedX&&(H=F-1-H,N=F-1-N),_.reversedY&&(X=q-1-X,W=q-1-W),_.reversedZ&&(G=V-1-G,re=V-1-re),_.filled){case 5:ce=G,Ge=re,me=X*V,Re=W*V,ze=H*V*q,Ce=N*V*q;break;case 4:ce=G,Ge=re,ze=H*V,Ce=N*V,me=X*V*F,Re=W*V*F;break;case 3:me=X,Re=W,ce=G*q,Ge=re*q,ze=H*q*V,Ce=N*q*V;break;case 2:me=X,Re=W,ze=H*q,Ce=N*q,ce=G*q*F,Ge=re*q*F;break;case 1:ze=H,Ce=N,ce=G*F,Ge=re*F,me=X*F*V,Re=W*F*V;break;default:ze=H,Ce=N,me=X*F,Re=W*F,ce=G*F*q,Ge=re*F*q;break}var nt=C[ze+me+ce],ct=C[ze+me+Ge],qt=C[ze+Re+ce],rt=C[ze+Re+Ge],ot=C[Ce+me+ce],Rt=C[Ce+me+Ge],kt=C[Ce+Re+ce],Ct=C[Ce+Re+Ge],Yt=s.create(),xr=s.create(),er=s.create(),Ke=s.create();s.lerp(Yt,nt,ot,Te),s.lerp(xr,ct,Rt,Te),s.lerp(er,qt,kt,Te),s.lerp(Ke,rt,Ct,Te);var xt=s.create(),bt=s.create();s.lerp(xt,Yt,er,Ee),s.lerp(bt,xr,Ke,Ee);var Lt=s.create();return s.lerp(Lt,xt,bt,Ae),Lt},x=function(A,L){var _=L[0],C=L[1],M=L[2];return A[0]=_<0?-_:_,A[1]=C<0?-C:C,A[2]=M<0?-M:M,A},b=function(A){var L=1/0;A.sort(function(p,P){return p-P});for(var _=A.length,C=1;C<_;C++){var M=Math.abs(A[C]-A[C-1]);MN||CtW||Ytre)},_e=s.distance(L[0],L[1]),Me=10*_e/C,ke=Me*Me,ge=1,ie=0,Te=_.length;Te>1&&(ge=g(_));for(var Ee=0;Eeie&&(ie=nt),ce.push(nt),V.push({points:ze,velocities:Ce,divergences:ce});for(var ct=0;ctke&&s.scale(qt,qt,Me/Math.sqrt(rt)),s.add(qt,qt,Ae),me=F(qt),s.squaredDistance(Re,qt)-ke>-1e-4*ke){ze.push(qt),Re=qt,Ce.push(me);var Ge=q(qt,me),nt=s.length(Ge);isFinite(nt)&&nt>ie&&(ie=nt),ce.push(nt)}Ae=qt}}var ot=f(V,A.colormap,ie,ge);return p?ot.tubeScale=p:(ie===0&&(ie=1),ot.tubeScale=M*.5*ge/ie),ot};var E=o(6740),k=o(6405).createMesh;i.exports.createTubeMesh=function(A,L){return k(A,L,{shaders:E,traceType:\"streamtube\"})}},990:function(i,a,o){var s=o(9405),l=o(3236),u=l([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "attribute vec4 uv;\n", + "attribute vec3 f;\n", + "attribute vec3 normal;\n", + "\n", + "uniform vec3 objectOffset;\n", + "uniform mat4 model, view, projection, inverseModel;\n", + "uniform vec3 lightPosition, eyePosition;\n", + "uniform sampler2D colormap;\n", + "\n", + "varying float value, kill;\n", + "varying vec3 worldCoordinate;\n", + "varying vec2 planeCoordinate;\n", + "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n", + "varying vec4 vColor;\n", + "\n", + "void main() {\n", + " vec3 localCoordinate = vec3(uv.zw, f.x);\n", + " worldCoordinate = objectOffset + localCoordinate;\n", + " mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n", + " vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\n", + " vec4 clipPosition = projection * (view * worldPosition);\n", + " gl_Position = clipPosition;\n", + " kill = f.y;\n", + " value = f.z;\n", + " planeCoordinate = uv.xy;\n", + "\n", + " vColor = texture2D(colormap, vec2(value, value));\n", + "\n", + " //Lighting geometry parameters\n", + " vec4 cameraCoordinate = view * worldPosition;\n", + " cameraCoordinate.xyz /= cameraCoordinate.w;\n", + " lightDirection = lightPosition - cameraCoordinate.xyz;\n", + " eyeDirection = eyePosition - cameraCoordinate.xyz;\n", + " surfaceNormal = normalize((vec4(normal,0) * inverseModel).xyz);\n", + "}\n", + "`]),c=l([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "float beckmannDistribution(float x, float roughness) {\n", + " float NdotH = max(x, 0.0001);\n", + " float cos2Alpha = NdotH * NdotH;\n", + " float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n", + " float roughness2 = roughness * roughness;\n", + " float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n", + " return exp(tan2Alpha / roughness2) / denom;\n", + "}\n", + "\n", + "float beckmannSpecular(\n", + " vec3 lightDirection,\n", + " vec3 viewDirection,\n", + " vec3 surfaceNormal,\n", + " float roughness) {\n", + " return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n", + "}\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "uniform vec3 lowerBound, upperBound;\n", + "uniform float contourTint;\n", + "uniform vec4 contourColor;\n", + "uniform sampler2D colormap;\n", + "uniform vec3 clipBounds[2];\n", + "uniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\n", + "uniform float vertexColor;\n", + "\n", + "varying float value, kill;\n", + "varying vec3 worldCoordinate;\n", + "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n", + "varying vec4 vColor;\n", + "\n", + "void main() {\n", + " if (\n", + " kill > 0.0 ||\n", + " vColor.a == 0.0 ||\n", + " outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n", + " ) discard;\n", + "\n", + " vec3 N = normalize(surfaceNormal);\n", + " vec3 V = normalize(eyeDirection);\n", + " vec3 L = normalize(lightDirection);\n", + "\n", + " if(gl_FrontFacing) {\n", + " N = -N;\n", + " }\n", + "\n", + " float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n", + " float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n", + "\n", + " //decide how to interpolate color \\u2014 in vertex or in fragment\n", + " vec4 surfaceColor =\n", + " step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n", + " step(.5, vertexColor) * vColor;\n", + "\n", + " vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n", + "\n", + " gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n", + "}\n", + "`]),f=l([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "attribute vec4 uv;\n", + "attribute float f;\n", + "\n", + "uniform vec3 objectOffset;\n", + "uniform mat3 permutation;\n", + "uniform mat4 model, view, projection;\n", + "uniform float height, zOffset;\n", + "uniform sampler2D colormap;\n", + "\n", + "varying float value, kill;\n", + "varying vec3 worldCoordinate;\n", + "varying vec2 planeCoordinate;\n", + "varying vec3 lightDirection, eyeDirection, surfaceNormal;\n", + "varying vec4 vColor;\n", + "\n", + "void main() {\n", + " vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n", + " worldCoordinate = objectOffset + dataCoordinate;\n", + " mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\n", + " vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\n", + "\n", + " vec4 clipPosition = projection * (view * worldPosition);\n", + " clipPosition.z += zOffset;\n", + "\n", + " gl_Position = clipPosition;\n", + " value = f + objectOffset.z;\n", + " kill = -1.0;\n", + " planeCoordinate = uv.zw;\n", + "\n", + " vColor = texture2D(colormap, vec2(value, value));\n", + "\n", + " //Don't do lighting for contours\n", + " surfaceNormal = vec3(1,0,0);\n", + " eyeDirection = vec3(0,1,0);\n", + " lightDirection = vec3(0,0,1);\n", + "}\n", + "`]),h=l([`precision highp float;\n", + "#define GLSLIFY 1\n", + "\n", + "bool outOfRange(float a, float b, float p) {\n", + " return ((p > max(a, b)) || \n", + " (p < min(a, b)));\n", + "}\n", + "\n", + "bool outOfRange(vec2 a, vec2 b, vec2 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y));\n", + "}\n", + "\n", + "bool outOfRange(vec3 a, vec3 b, vec3 p) {\n", + " return (outOfRange(a.x, b.x, p.x) ||\n", + " outOfRange(a.y, b.y, p.y) ||\n", + " outOfRange(a.z, b.z, p.z));\n", + "}\n", + "\n", + "bool outOfRange(vec4 a, vec4 b, vec4 p) {\n", + " return outOfRange(a.xyz, b.xyz, p.xyz);\n", + "}\n", + "\n", + "uniform vec2 shape;\n", + "uniform vec3 clipBounds[2];\n", + "uniform float pickId;\n", + "\n", + "varying float value, kill;\n", + "varying vec3 worldCoordinate;\n", + "varying vec2 planeCoordinate;\n", + "varying vec3 surfaceNormal;\n", + "\n", + "vec2 splitFloat(float v) {\n", + " float vh = 255.0 * v;\n", + " float upper = floor(vh);\n", + " float lower = fract(vh);\n", + " return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n", + "}\n", + "\n", + "void main() {\n", + " if ((kill > 0.0) ||\n", + " (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n", + "\n", + " vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n", + " vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n", + " gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n", + "}\n", + "`]);a.createShader=function(d){var v=s(d,u,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createPickShader=function(d){var v=s(d,u,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v.attributes.normal.location=2,v},a.createContourShader=function(d){var v=s(d,f,c,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v},a.createPickContourShader=function(d){var v=s(d,f,h,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return v.attributes.uv.location=0,v.attributes.f.location=1,v}},9499:function(i,a,o){\"use strict\";i.exports=ze;var s=o(8828),l=o(2762),u=o(8116),c=o(7766),f=o(1888),h=o(6729),d=o(5298),v=o(9994),x=o(9618),b=o(3711),g=o(6760),E=o(7608),k=o(2478),A=o(6199),L=o(990),_=L.createShader,C=L.createContourShader,M=L.createPickShader,p=L.createPickContourShader,P=4*10,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],F=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],q=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];(function(){for(var Ce=0;Ce<3;++Ce){var me=q[Ce],Re=(Ce+1)%3,ce=(Ce+2)%3;me[Re+0]=1,me[ce+3]=1,me[Ce+6]=1}})();function V(Ce,me,Re,ce,Ge){this.position=Ce,this.index=me,this.uv=Re,this.level=ce,this.dataCoordinate=Ge}var H=256;function X(Ce,me,Re,ce,Ge,nt,ct,qt,rt,ot,Rt,kt,Ct,Yt,xr){this.gl=Ce,this.shape=me,this.bounds=Re,this.objectOffset=xr,this.intensityBounds=[],this._shader=ce,this._pickShader=Ge,this._coordinateBuffer=nt,this._vao=ct,this._colorMap=qt,this._contourShader=rt,this._contourPickShader=ot,this._contourBuffer=Rt,this._contourVAO=kt,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new V([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=Ct,this._dynamicVAO=Yt,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[x(f.mallocFloat(1024),[0,0]),x(f.mallocFloat(1024),[0,0]),x(f.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var G=X.prototype;G.genColormap=function(Ce,me){var Re=!1,ce=v([h({colormap:Ce,nshades:H,format:\"rgba\"}).map(function(Ge,nt){var ct=me?N(nt/255,me):Ge[3];return ct<1&&(Re=!0),[Ge[0],Ge[1],Ge[2],255*ct]})]);return d.divseq(ce,255),this.hasAlphaScale=Re,ce},G.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},G.isOpaque=function(){return!this.isTransparent()},G.pickSlots=1,G.setPickBase=function(Ce){this.pickId=Ce};function N(Ce,me){if(!me||!me.length)return 1;for(var Re=0;ReCe&&Re>0){var ce=(me[Re][0]-Ce)/(me[Re][0]-me[Re-1][0]);return me[Re][1]*(1-ce)+ce*me[Re-1][1]}}return 1}var W=[0,0,0],re={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function ae(Ce,me){var Re,ce,Ge,nt=me.axes&&me.axes.lastCubeProps.axis||W,ct=me.showSurface,qt=me.showContour;for(Re=0;Re<3;++Re)for(ct=ct||me.surfaceProject[Re],ce=0;ce<3;++ce)qt=qt||me.contourProject[Re][ce];for(Re=0;Re<3;++Re){var rt=re.projections[Re];for(ce=0;ce<16;++ce)rt[ce]=0;for(ce=0;ce<4;++ce)rt[5*ce]=1;rt[5*Re]=0,rt[12+Re]=me.axesBounds[+(nt[Re]>0)][Re],g(rt,Ce.model,rt);var ot=re.clipBounds[Re];for(Ge=0;Ge<2;++Ge)for(ce=0;ce<3;++ce)ot[Ge][ce]=Ce.clipBounds[Ge][ce];ot[0][Re]=-1e8,ot[1][Re]=1e8}return re.showSurface=ct,re.showContour=qt,re}var _e={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},Me=T.slice(),ke=[1,0,0,0,1,0,0,0,1];function ge(Ce,me){Ce=Ce||{};var Re=this.gl;Re.disable(Re.CULL_FACE),this._colorMap.bind(0);var ce=_e;ce.model=Ce.model||T,ce.view=Ce.view||T,ce.projection=Ce.projection||T,ce.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],ce.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],ce.objectOffset=this.objectOffset,ce.contourColor=this.contourColor[0],ce.inverseModel=E(ce.inverseModel,ce.model);for(var Ge=0;Ge<2;++Ge)for(var nt=ce.clipBounds[Ge],ct=0;ct<3;++ct)nt[ct]=Math.min(Math.max(this.clipBounds[Ge][ct],-1e8),1e8);ce.kambient=this.ambientLight,ce.kdiffuse=this.diffuseLight,ce.kspecular=this.specularLight,ce.roughness=this.roughness,ce.fresnel=this.fresnel,ce.opacity=this.opacity,ce.height=0,ce.permutation=ke,ce.vertexColor=this.vertexColor;var qt=Me;for(g(qt,ce.view,ce.model),g(qt,ce.projection,qt),E(qt,qt),Ge=0;Ge<3;++Ge)ce.eyePosition[Ge]=qt[12+Ge]/qt[15];var rt=qt[15];for(Ge=0;Ge<3;++Ge)rt+=this.lightPosition[Ge]*qt[4*Ge+3];for(Ge=0;Ge<3;++Ge){var ot=qt[12+Ge];for(ct=0;ct<3;++ct)ot+=qt[4*ct+Ge]*this.lightPosition[ct];ce.lightPosition[Ge]=ot/rt}var Rt=ae(ce,this);if(Rt.showSurface){for(this._shader.bind(),this._shader.uniforms=ce,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(Re.TRIANGLES,this._vertexCount),Ge=0;Ge<3;++Ge)!this.surfaceProject[Ge]||!this.vertexCount||(this._shader.uniforms.model=Rt.projections[Ge],this._shader.uniforms.clipBounds=Rt.clipBounds[Ge],this._vao.draw(Re.TRIANGLES,this._vertexCount));this._vao.unbind()}if(Rt.showContour){var kt=this._contourShader;ce.kambient=1,ce.kdiffuse=0,ce.kspecular=0,ce.opacity=1,kt.bind(),kt.uniforms=ce;var Ct=this._contourVAO;for(Ct.bind(),Ge=0;Ge<3;++Ge)for(kt.uniforms.permutation=q[Ge],Re.lineWidth(this.contourWidth[Ge]*this.pixelRatio),ct=0;ct>4)/16)/255,Ge=Math.floor(ce),nt=ce-Ge,ct=me[1]*(Ce.value[1]+(Ce.value[2]&15)/16)/255,qt=Math.floor(ct),rt=ct-qt;Ge+=1,qt+=1;var ot=Re.position;ot[0]=ot[1]=ot[2]=0;for(var Rt=0;Rt<2;++Rt)for(var kt=Rt?nt:1-nt,Ct=0;Ct<2;++Ct)for(var Yt=Ct?rt:1-rt,xr=Ge+Rt,er=qt+Ct,Ke=kt*Yt,xt=0;xt<3;++xt)ot[xt]+=this._field[xt].get(xr,er)*Ke;for(var bt=this._pickResult.level,Lt=0;Lt<3;++Lt)if(bt[Lt]=k.le(this.contourLevels[Lt],ot[Lt]),bt[Lt]<0)this.contourLevels[Lt].length>0&&(bt[Lt]=0);else if(bt[Lt]Math.abs(Et-ot[Lt])&&(bt[Lt]+=1)}for(Re.index[0]=nt<.5?Ge:Ge+1,Re.index[1]=rt<.5?qt:qt+1,Re.uv[0]=ce/me[0],Re.uv[1]=ct/me[1],xt=0;xt<3;++xt)Re.dataCoordinate[xt]=this._field[xt].get(Re.index[0],Re.index[1]);return Re},G.padField=function(Ce,me){var Re=me.shape.slice(),ce=Ce.shape.slice();d.assign(Ce.lo(1,1).hi(Re[0],Re[1]),me),d.assign(Ce.lo(1).hi(Re[0],1),me.hi(Re[0],1)),d.assign(Ce.lo(1,ce[1]-1).hi(Re[0],1),me.lo(0,Re[1]-1).hi(Re[0],1)),d.assign(Ce.lo(0,1).hi(1,Re[1]),me.hi(1)),d.assign(Ce.lo(ce[0]-1,1).hi(1,Re[1]),me.lo(Re[0]-1)),Ce.set(0,0,me.get(0,0)),Ce.set(0,ce[1]-1,me.get(0,Re[1]-1)),Ce.set(ce[0]-1,0,me.get(Re[0]-1,0)),Ce.set(ce[0]-1,ce[1]-1,me.get(Re[0]-1,Re[1]-1))};function Te(Ce,me){return Array.isArray(Ce)?[me(Ce[0]),me(Ce[1]),me(Ce[2])]:[me(Ce),me(Ce),me(Ce)]}function Ee(Ce){return Array.isArray(Ce)?Ce.length===3?[Ce[0],Ce[1],Ce[2],1]:[Ce[0],Ce[1],Ce[2],Ce[3]]:[0,0,0,1]}function Ae(Ce){if(Array.isArray(Ce)){if(Array.isArray(Ce))return[Ee(Ce[0]),Ee(Ce[1]),Ee(Ce[2])];var me=Ee(Ce);return[me.slice(),me.slice(),me.slice()]}}G.update=function(Ce){Ce=Ce||{},this.objectOffset=Ce.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in Ce&&(this.contourWidth=Te(Ce.contourWidth,Number)),\"showContour\"in Ce&&(this.showContour=Te(Ce.showContour,Boolean)),\"showSurface\"in Ce&&(this.showSurface=!!Ce.showSurface),\"contourTint\"in Ce&&(this.contourTint=Te(Ce.contourTint,Boolean)),\"contourColor\"in Ce&&(this.contourColor=Ae(Ce.contourColor)),\"contourProject\"in Ce&&(this.contourProject=Te(Ce.contourProject,function(Gi){return Te(Gi,Boolean)})),\"surfaceProject\"in Ce&&(this.surfaceProject=Ce.surfaceProject),\"dynamicColor\"in Ce&&(this.dynamicColor=Ae(Ce.dynamicColor)),\"dynamicTint\"in Ce&&(this.dynamicTint=Te(Ce.dynamicTint,Number)),\"dynamicWidth\"in Ce&&(this.dynamicWidth=Te(Ce.dynamicWidth,Number)),\"opacity\"in Ce&&(this.opacity=Ce.opacity),\"opacityscale\"in Ce&&(this.opacityscale=Ce.opacityscale),\"colorBounds\"in Ce&&(this.colorBounds=Ce.colorBounds),\"vertexColor\"in Ce&&(this.vertexColor=Ce.vertexColor?1:0),\"colormap\"in Ce&&this._colorMap.setPixels(this.genColormap(Ce.colormap,this.opacityscale));var me=Ce.field||Ce.coords&&Ce.coords[2]||null,Re=!1;if(me||(this._field[2].shape[0]||this._field[2].shape[2]?me=this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):me=this._field[2].hi(0,0)),\"field\"in Ce||\"coords\"in Ce){var ce=(me.shape[0]+2)*(me.shape[1]+2);ce>this._field[2].data.length&&(f.freeFloat(this._field[2].data),this._field[2].data=f.mallocFloat(s.nextPow2(ce))),this._field[2]=x(this._field[2].data,[me.shape[0]+2,me.shape[1]+2]),this.padField(this._field[2],me),this.shape=me.shape.slice();for(var Ge=this.shape,nt=0;nt<2;++nt)this._field[2].size>this._field[nt].data.length&&(f.freeFloat(this._field[nt].data),this._field[nt].data=f.mallocFloat(this._field[2].size)),this._field[nt]=x(this._field[nt].data,[Ge[0]+2,Ge[1]+2]);if(Ce.coords){var ct=Ce.coords;if(!Array.isArray(ct)||ct.length!==3)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(nt=0;nt<2;++nt){var qt=ct[nt];for(Ct=0;Ct<2;++Ct)if(qt.shape[Ct]!==Ge[Ct])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[nt],qt)}}else if(Ce.ticks){var rt=Ce.ticks;if(!Array.isArray(rt)||rt.length!==2)throw new Error(\"gl-surface: invalid ticks\");for(nt=0;nt<2;++nt){var ot=rt[nt];if((Array.isArray(ot)||ot.length)&&(ot=x(ot)),ot.shape[0]!==Ge[nt])throw new Error(\"gl-surface: invalid tick length\");var Rt=x(ot.data,Ge);Rt.stride[nt]=ot.stride[0],Rt.stride[nt^1]=0,this.padField(this._field[nt],Rt)}}else{for(nt=0;nt<2;++nt){var kt=[0,0];kt[nt]=1,this._field[nt]=x(this._field[nt].data,[Ge[0]+2,Ge[1]+2],kt,0)}this._field[0].set(0,0,0);for(var Ct=0;Ct0){for(var Mi=0;Mi<5;++Mi)ai.pop();Ve-=1}continue e}}}nn.push(Ve)}this._contourOffsets[jr]=bi,this._contourCounts[jr]=nn}var Pi=f.mallocFloat(ai.length);for(nt=0;ntV||F<0||F>V)throw new Error(\"gl-texture2d: Invalid texture size\");return P._shape=[T,F],P.bind(),q.texImage2D(q.TEXTURE_2D,0,P.format,T,F,0,P.format,P.type,null),P._mipLevels=[0],P}function g(P,T,F,q,V,H){this.gl=P,this.handle=T,this.format=V,this.type=H,this._shape=[F,q],this._mipLevels=[0],this._magFilter=P.NEAREST,this._minFilter=P.NEAREST,this._wrapS=P.CLAMP_TO_EDGE,this._wrapT=P.CLAMP_TO_EDGE,this._anisoSamples=1;var X=this,G=[this._wrapS,this._wrapT];Object.defineProperties(G,[{get:function(){return X._wrapS},set:function(W){return X.wrapS=W}},{get:function(){return X._wrapT},set:function(W){return X.wrapT=W}}]),this._wrapVector=G;var N=[this._shape[0],this._shape[1]];Object.defineProperties(N,[{get:function(){return X._shape[0]},set:function(W){return X.width=W}},{get:function(){return X._shape[1]},set:function(W){return X.height=W}}]),this._shapeVector=N}var E=g.prototype;Object.defineProperties(E,{minFilter:{get:function(){return this._minFilter},set:function(P){this.bind();var T=this.gl;if(this.type===T.FLOAT&&c.indexOf(P)>=0&&(T.getExtension(\"OES_texture_float_linear\")||(P=T.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return T.texParameteri(T.TEXTURE_2D,T.TEXTURE_MIN_FILTER,P),this._minFilter=P}},magFilter:{get:function(){return this._magFilter},set:function(P){this.bind();var T=this.gl;if(this.type===T.FLOAT&&c.indexOf(P)>=0&&(T.getExtension(\"OES_texture_float_linear\")||(P=T.NEAREST)),f.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+P);return T.texParameteri(T.TEXTURE_2D,T.TEXTURE_MAG_FILTER,P),this._magFilter=P}},mipSamples:{get:function(){return this._anisoSamples},set:function(P){var T=this._anisoSamples;if(this._anisoSamples=Math.max(P,1)|0,T!==this._anisoSamples){var F=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");F&&this.gl.texParameterf(this.gl.TEXTURE_2D,F.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,P),this._wrapS=P}},wrapT:{get:function(){return this._wrapT},set:function(P){if(this.bind(),h.indexOf(P)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,P),this._wrapT=P}},wrap:{get:function(){return this._wrapVector},set:function(P){if(Array.isArray(P)||(P=[P,P]),P.length!==2)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var T=0;T<2;++T)if(h.indexOf(P[T])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+P);this._wrapS=P[0],this._wrapT=P[1];var F=this.gl;return this.bind(),F.texParameteri(F.TEXTURE_2D,F.TEXTURE_WRAP_S,this._wrapS),F.texParameteri(F.TEXTURE_2D,F.TEXTURE_WRAP_T,this._wrapT),P}},shape:{get:function(){return this._shapeVector},set:function(P){if(!Array.isArray(P))P=[P|0,P|0];else if(P.length!==2)throw new Error(\"gl-texture2d: Invalid texture shape\");return b(this,P[0]|0,P[1]|0),[P[0]|0,P[1]|0]}},width:{get:function(){return this._shape[0]},set:function(P){return P=P|0,b(this,P,this._shape[1]),P}},height:{get:function(){return this._shape[1]},set:function(P){return P=P|0,b(this,this._shape[0],P),P}}}),E.bind=function(P){var T=this.gl;return P!==void 0&&T.activeTexture(T.TEXTURE0+(P|0)),T.bindTexture(T.TEXTURE_2D,this.handle),P!==void 0?P|0:T.getParameter(T.ACTIVE_TEXTURE)-T.TEXTURE0},E.dispose=function(){this.gl.deleteTexture(this.handle)},E.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var P=Math.min(this._shape[0],this._shape[1]),T=0;P>0;++T,P>>>=1)this._mipLevels.indexOf(T)<0&&this._mipLevels.push(T)},E.setPixels=function(P,T,F,q){var V=this.gl;this.bind(),Array.isArray(T)?(q=F,F=T[1]|0,T=T[0]|0):(T=T||0,F=F||0),q=q||0;var H=v(P)?P:P.raw;if(H){var X=this._mipLevels.indexOf(q)<0;X?(V.texImage2D(V.TEXTURE_2D,0,this.format,this.format,this.type,H),this._mipLevels.push(q)):V.texSubImage2D(V.TEXTURE_2D,q,T,F,this.format,this.type,H)}else if(P.shape&&P.stride&&P.data){if(P.shape.length<2||T+P.shape[1]>this._shape[1]>>>q||F+P.shape[0]>this._shape[0]>>>q||T<0||F<0)throw new Error(\"gl-texture2d: Texture 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null;var r=t.canvas||document.createElement(\"canvas\");typeof t.width==\"number\"&&(r.width=t.width),typeof t.height==\"number\"&&(r.height=t.height);var n=t,i;try{var a=[e];e.indexOf(\"webgl\")===0&&a.push(\"experimental-\"+e);for(var o=0;o{var KLt=KLe();JLe.exports=function(t){return KLt(\"webgl\",t)}});var pZ=ye((dvr,ePe)=>{\"use strict\";var QLe=va(),JLt=function(){};ePe.exports=function(t){for(var r in t)typeof t[r]==\"function\"&&(t[r]=JLt);t.destroy=function(){t.container.parentNode.removeChild(t.container)};var n=document.createElement(\"div\");n.className=\"no-webgl\",n.style.cursor=\"pointer\",n.style.fontSize=\"24px\",n.style.color=QLe.defaults[0],n.style.position=\"absolute\",n.style.left=n.style.top=\"0px\",n.style.width=n.style.height=\"100%\",n.style[\"background-color\"]=QLe.lightLine,n.style[\"z-index\"]=30;var i=document.createElement(\"p\");return i.textContent=\"WebGL is not supported by your browser - visit https://get.webgl.org for more 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ePt=tPe.prototype;ePt.merge=function(e,t){for(var r=this,n=0;n<3;++n){var i=t[QLt[n]];if(!i.visible){r.tickEnable[n]=!1,r.labelEnable[n]=!1,r.lineEnable[n]=!1,r.lineTickEnable[n]=!1,r.gridEnable[n]=!1,r.zeroEnable[n]=!1,r.backgroundEnable[n]=!1;continue}r.labels[n]=e._meta?$Lt.templateString(i.title.text,e._meta):i.title.text,\"font\"in i.title&&(i.title.font.color&&(r.labelColor[n]=U2(i.title.font.color)),i.title.font.family&&(r.labelFont[n]=i.title.font.family),i.title.font.size&&(r.labelSize[n]=i.title.font.size),i.title.font.weight&&(r.labelFontWeight[n]=i.title.font.weight),i.title.font.style&&(r.labelFontStyle[n]=i.title.font.style),i.title.font.variant&&(r.labelFontVariant[n]=i.title.font.variant)),\"showline\"in i&&(r.lineEnable[n]=i.showline),\"linecolor\"in i&&(r.lineColor[n]=U2(i.linecolor)),\"linewidth\"in i&&(r.lineWidth[n]=i.linewidth),\"showgrid\"in i&&(r.gridEnable[n]=i.showgrid),\"gridcolor\"in i&&(r.gridColor[n]=U2(i.gridcolor)),\"gridwidth\"in i&&(r.gridWidth[n]=i.gridwidth),i.type===\"log\"?r.zeroEnable[n]=!1:\"zeroline\"in i&&(r.zeroEnable[n]=i.zeroline),\"zerolinecolor\"in i&&(r.zeroLineColor[n]=U2(i.zerolinecolor)),\"zerolinewidth\"in i&&(r.zeroLineWidth[n]=i.zerolinewidth),\"ticks\"in i&&i.ticks?r.lineTickEnable[n]=!0:r.lineTickEnable[n]=!1,\"ticklen\"in i&&(r.lineTickLength[n]=r._defaultLineTickLength[n]=i.ticklen),\"tickcolor\"in i&&(r.lineTickColor[n]=U2(i.tickcolor)),\"tickwidth\"in i&&(r.lineTickWidth[n]=i.tickwidth),\"tickangle\"in i&&(r.tickAngle[n]=i.tickangle===\"auto\"?-3600:Math.PI*-i.tickangle/180),\"showticklabels\"in i&&(r.tickEnable[n]=i.showticklabels),\"tickfont\"in i&&(i.tickfont.color&&(r.tickColor[n]=U2(i.tickfont.color)),i.tickfont.family&&(r.tickFont[n]=i.tickfont.family),i.tickfont.size&&(r.tickSize[n]=i.tickfont.size),i.tickfont.weight&&(r.tickFontWeight[n]=i.tickfont.weight),i.tickfont.style&&(r.tickFontStyle[n]=i.tickfont.style),i.tickfont.variant&&(r.tickFontVariant[n]=i.tickfont.variant)),\"mirror\"in i?[\"ticks\",\"all\",\"allticks\"].indexOf(i.mirror)!==-1?(r.lineTickMirror[n]=!0,r.lineMirror[n]=!0):i.mirror===!0?(r.lineTickMirror[n]=!1,r.lineMirror[n]=!0):(r.lineTickMirror[n]=!1,r.lineMirror[n]=!1):r.lineMirror[n]=!1,\"showbackground\"in i&&i.showbackground!==!1?(r.backgroundEnable[n]=!0,r.backgroundColor[n]=U2(i.backgroundcolor)):r.backgroundEnable[n]=!1}};function tPt(e,t){var r=new tPe;return r.merge(e,t),r}rPe.exports=tPt});var oPe=ye((pvr,aPe)=>{\"use strict\";var rPt=Jy(),iPt=[\"xaxis\",\"yaxis\",\"zaxis\"];function nPe(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}var nPt=nPe.prototype;nPt.merge=function(e){for(var t=0;t<3;++t){var r=e[iPt[t]];if(!r.visible){this.enabled[t]=!1,this.drawSides[t]=!1;continue}this.enabled[t]=r.showspikes,this.colors[t]=rPt(r.spikecolor),this.drawSides[t]=r.spikesides,this.lineWidth[t]=r.spikethickness}};function aPt(e){var t=new nPe;return t.merge(e),t}aPe.exports=aPt});var uPe=ye((gvr,lPe)=>{\"use strict\";lPe.exports=cPt;var sPe=Qa(),oPt=Mr(),sPt=[\"xaxis\",\"yaxis\",\"zaxis\"],lPt=[0,0,0];function uPt(e){for(var t=new Array(3),r=0;r<3;++r){for(var n=e[r],i=new Array(n.length),a=0;a/g,\" \"));i[a]=u,o.tickmode=s}}t.ticks=i;for(var a=0;a<3;++a){lPt[a]=.5*(e.glplot.bounds[0][a]+e.glplot.bounds[1][a]);for(var c=0;c<2;++c)t.bounds[c][a]=e.glplot.bounds[c][a]}e.contourLevels=uPt(i)}});var gPe=ye((mvr,pPe)=>{\"use strict\";var hPe=Rd().gl_plot3d,fPt=hPe.createCamera,cPe=hPe.createScene,hPt=$Le(),dPt=EL(),JD=ba(),up=Mr(),KD=up.preserveDrawingBuffer(),$D=Qa(),Kg=Nc(),vPt=Jy(),pPt=pZ(),gPt=DU(),mPt=iPe(),yPt=oPe(),_Pt=uPe(),xPt=wg().applyAutorangeOptions,VE,YD,dPe=!1;function vPe(e,t){var r=document.createElement(\"div\"),n=e.container;this.graphDiv=e.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=e.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=t,this.id=e.id||\"scene\",this.fullSceneLayout=t[this.id],this.plotArgs=[[],{},{}],this.axesOptions=mPt(t,t[this.id]),this.spikeOptions=yPt(t[this.id]),this.container=r,this.staticMode=!!e.staticPlot,this.pixelRatio=this.pixelRatio||e.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=JD.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=JD.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var wv=vPe.prototype;wv.prepareOptions=function(){var e=this,t={canvas:e.canvas,gl:e.gl,glOptions:{preserveDrawingBuffer:KD,premultipliedAlpha:!0,antialias:!0},container:e.container,axes:e.axesOptions,spikes:e.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e.camera,pixelRatio:e.pixelRatio};if(e.staticMode){if(!YD&&(VE=document.createElement(\"canvas\"),YD=hPt({canvas:VE,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}),!YD))throw new Error(\"error creating static canvas/context for image server\");t.gl=YD,t.canvas=VE}return t};var fPe=!0;wv.tryCreatePlot=function(){var e=this,t=e.prepareOptions(),r=!0;try{e.glplot=cPe(t)}catch(n){if(e.staticMode||!fPe||KD)r=!1;else{up.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{KD=t.glOptions.preserveDrawingBuffer=!0,e.glplot=cPe(t)}catch(i){KD=t.glOptions.preserveDrawingBuffer=!1,r=!1}}}return fPe=!1,r};wv.initializeGLCamera=function(){var e=this,t=e.fullSceneLayout.camera,r=t.projection.type===\"orthographic\";e.camera=fPt(e.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})};wv.initializeGLPlot=function(){var e=this;e.initializeGLCamera();var t=e.tryCreatePlot();if(!t)return pPt(e);e.traces={},e.make4thDimension();var r=e.graphDiv,n=r.layout,i=function(){var o={};return e.isCameraChanged(n)&&(o[e.id+\".camera\"]=e.getCamera()),e.isAspectChanged(n)&&(o[e.id+\".aspectratio\"]=e.glplot.getAspectratio(),n[e.id].aspectmode!==\"manual\"&&(e.fullSceneLayout.aspectmode=n[e.id].aspectmode=o[e.id+\".aspectmode\"]=\"manual\")),o},a=function(o){if(o.fullSceneLayout.dragmode!==!1){var s=i();o.saveLayout(n),o.graphDiv.emit(\"plotly_relayout\",s)}};return e.glplot.canvas&&(e.glplot.canvas.addEventListener(\"mouseup\",function(){a(e)}),e.glplot.canvas.addEventListener(\"touchstart\",function(){dPe=!0}),e.glplot.canvas.addEventListener(\"wheel\",function(o){if(r._context._scrollZoom.gl3d){if(e.camera._ortho){var s=o.deltaX>o.deltaY?1.1:.9090909090909091,l=e.glplot.getAspectratio();e.glplot.setAspectratio({x:s*l.x,y:s*l.y,z:s*l.z})}a(e)}},dPt?{passive:!1}:!1),e.glplot.canvas.addEventListener(\"mousemove\",function(){if(e.fullSceneLayout.dragmode!==!1&&e.camera.mouseListener.buttons!==0){var o=i();e.graphDiv.emit(\"plotly_relayouting\",o)}}),e.staticMode||e.glplot.canvas.addEventListener(\"webglcontextlost\",function(o){r&&r.emit&&r.emit(\"plotly_webglcontextlost\",{event:o,layer:e.id})},!1)),e.glplot.oncontextloss=function(){e.recoverContext()},e.glplot.onrender=function(){e.render()},!0};wv.render=function(){var e=this,t=e.graphDiv,r,n=e.svgContainer,i=e.container.getBoundingClientRect();t._fullLayout._calcInverseTransform(t);var a=t._fullLayout._invScaleX,o=t._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),_Pt(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,f=e.glplot.selection,h=0;h\")):r.type===\"isosurface\"||r.type===\"volume\"?(g.valueLabel=$D.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),r.valuehoverformat),_.push(\"value: \"+g.valueLabel),f.textLabel&&_.push(f.textLabel),L=_.join(\"
\")):L=f.textLabel;var C={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:x._input,fullData:x,curveNumber:x.index,pointNumber:b};Kg.appendArrayPointValue(C,x,b),r._module.eventData&&(C=x._module.eventData(C,f,x,{},b));var M={points:[C]};if(e.fullSceneLayout.hovermode){var p=[];Kg.loneHover({trace:x,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:g.xLabel,yLabel:g.yLabel,zLabel:g.zLabel,text:L,name:c.name,color:Kg.castHoverOption(x,b,\"bgcolor\")||c.color,borderColor:Kg.castHoverOption(x,b,\"bordercolor\"),fontFamily:Kg.castHoverOption(x,b,\"font.family\"),fontSize:Kg.castHoverOption(x,b,\"font.size\"),fontColor:Kg.castHoverOption(x,b,\"font.color\"),nameLength:Kg.castHoverOption(x,b,\"namelength\"),textAlign:Kg.castHoverOption(x,b,\"align\"),hovertemplate:up.castOption(x,b,\"hovertemplate\"),hovertemplateLabels:up.extendFlat({},C,g),eventData:[C]},{container:n,gd:t,inOut_bbox:p}),C.bbox=p[0]}f.distance<5&&(f.buttons||dPe)?t.emit(\"plotly_click\",M):t.emit(\"plotly_hover\",M),this.oldEventData=M}else Kg.loneUnhover(n),this.oldEventData&&t.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)};wv.recoverContext=function(){var e=this;e.glplot.dispose();var t=function(){if(e.glplot.gl.isContextLost()){requestAnimationFrame(t);return}if(!e.initializeGLPlot()){up.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\");return}e.plot.apply(e,e.plotArgs)};requestAnimationFrame(t)};var HE=[\"xaxis\",\"yaxis\",\"zaxis\"];function bPt(e,t,r){for(var n=e.fullSceneLayout,i=0;i<3;i++){var a=HE[i],o=a.charAt(0),s=n[a],l=t[o],u=t[o+\"calendar\"],c=t[\"_\"+o+\"length\"];if(!up.isArrayOrTypedArray(l))r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1);else for(var f,h=0;h<(c||l.length);h++)if(up.isArrayOrTypedArray(l[h]))for(var d=0;dx[1][o])x[0][o]=-1,x[1][o]=1;else{var T=x[1][o]-x[0][o];x[0][o]-=T/32,x[1][o]+=T/32}if(E=[x[0][o],x[1][o]],E=xPt(E,l),x[0][o]=E[0],x[1][o]=E[1],l.isReversed()){var F=x[0][o];x[0][o]=x[1][o],x[1][o]=F}}else E=l.range,x[0][o]=l.r2l(E[0]),x[1][o]=l.r2l(E[1]);x[0][o]===x[1][o]&&(x[0][o]-=1,x[1][o]+=1),b[o]=x[1][o]-x[0][o],l.range=[x[0][o],x[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*d[o],max:l.range[1]*d[o]})}var q,V=c.aspectmode;if(V===\"cube\")q=[1,1,1];else if(V===\"manual\"){var H=c.aspectratio;q=[H.x,H.y,H.z]}else if(V===\"auto\"||V===\"data\"){var X=[1,1,1];for(o=0;o<3;++o){l=c[HE[o]],u=l.type;var G=g[u];X[o]=Math.pow(G.acc,1/G.count)/d[o]}V===\"data\"||Math.max.apply(null,X)/Math.min.apply(null,X)<=4?q=X:q=[1,1,1]}else throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");c.aspectratio.x=f.aspectratio.x=q[0],c.aspectratio.y=f.aspectratio.y=q[1],c.aspectratio.z=f.aspectratio.z=q[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var N=c.domain||null,W=t._size||null;if(N&&W){var re=n.container.style;re.position=\"absolute\",re.left=W.l+N.x[0]*W.w+\"px\",re.top=W.t+(1-N.y[1])*W.h+\"px\",re.width=W.w*(N.x[1]-N.x[0])+\"px\",re.height=W.h*(N.y[1]-N.y[0])+\"px\"}n.glplot.redraw()}};wv.destroy=function(){var e=this;e.glplot&&(e.camera.mouseListener.enabled=!1,e.container.removeEventListener(\"wheel\",e.camera.wheelListener),e.camera=null,e.glplot.dispose(),e.container.parentNode.removeChild(e.container),e.glplot=null)};function TPt(e){return[[e.eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]}function APt(e){return{up:{x:e.up[0],y:e.up[1],z:e.up[2]},center:{x:e.center[0],y:e.center[1],z:e.center[2]},eye:{x:e.eye[0],y:e.eye[1],z:e.eye[2]},projection:{type:e._ortho===!0?\"orthographic\":\"perspective\"}}}wv.getCamera=function(){var e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),APt(e.camera)};wv.setViewport=function(e){var t=this,r=e.camera;t.camera.lookAt.apply(this,TPt(r)),t.glplot.setAspectratio(e.aspectratio);var n=r.projection.type===\"orthographic\",i=t.camera._ortho;n!==i&&(t.glplot.redraw(),t.glplot.clearRGBA(),t.glplot.dispose(),t.initializeGLPlot())};wv.isCameraChanged=function(e){var t=this,r=t.getCamera(),n=up.nestedProperty(e,t.id+\".camera\"),i=n.get();function a(u,c,f,h){var d=[\"up\",\"center\",\"eye\"],v=[\"x\",\"y\",\"z\"];return c[d[f]]&&u[d[f]][v[h]]===c[d[f]][v[h]]}var o=!1;if(i===void 0)o=!0;else{for(var s=0;s<3;s++)for(var l=0;l<3;l++)if(!a(r,i,s,l)){o=!0;break}(!i.projection||r.projection&&r.projection.type!==i.projection.type)&&(o=!0)}return o};wv.isAspectChanged=function(e){var t=this,r=t.glplot.getAspectratio(),n=up.nestedProperty(e,t.id+\".aspectratio\"),i=n.get();return i===void 0||i.x!==r.x||i.y!==r.y||i.z!==r.z};wv.saveLayout=function(e){var t=this,r=t.fullLayout,n,i,a,o,s,l,u=t.isCameraChanged(e),c=t.isAspectChanged(e),f=u||c;if(f){var h={};if(u&&(n=t.getCamera(),i=up.nestedProperty(e,t.id+\".camera\"),a=i.get(),h[t.id+\".camera\"]=a),c&&(o=t.glplot.getAspectratio(),s=up.nestedProperty(e,t.id+\".aspectratio\"),l=s.get(),h[t.id+\".aspectratio\"]=l),JD.call(\"_storeDirectGUIEdit\",e,r._preGUI,h),u){i.set(n);var d=up.nestedProperty(r,t.id+\".camera\");d.set(n)}if(c){s.set(o);var v=up.nestedProperty(r,t.id+\".aspectratio\");v.set(o),t.glplot.redraw()}}return f};wv.updateFx=function(e,t){var r=this,n=r.camera;if(n)if(e===\"orbit\")n.mode=\"orbit\",n.keyBindingMode=\"rotate\";else if(e===\"turntable\"){n.up=[0,0,1],n.mode=\"turntable\",n.keyBindingMode=\"rotate\";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var c=r.id+\".camera.up\",f={x:0,y:0,z:1},h={};h[c]=f;var d=i.layout;JD.call(\"_storeDirectGUIEdit\",d,a._preGUI,h),o.up=f,up.nestedProperty(d,c).set(f)}}else n.keyBindingMode=e;r.fullSceneLayout.hovermode=t};function SPt(e,t,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)e[a+l]=Math.min(s*e[a+l],255)}}wv.toImage=function(e){var t=this;e||(e=\"png\"),t.staticMode&&t.container.appendChild(VE),t.glplot.redraw();var r=t.glplot.gl,n=r.drawingBufferWidth,i=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var a=new Uint8Array(n*i*4);r.readPixels(0,0,n,i,r.RGBA,r.UNSIGNED_BYTE,a),SPt(a,n,i),MPt(a,n,i);var o=document.createElement(\"canvas\");o.width=n,o.height=i;var s=o.getContext(\"2d\",{willReadFrequently:!0}),l=s.createImageData(n,i);l.data.set(a),s.putImageData(l,0,0);var u;switch(e){case\"jpeg\":u=o.toDataURL(\"image/jpeg\");break;case\"webp\":u=o.toDataURL(\"image/webp\");break;default:u=o.toDataURL(\"image/png\")}return t.staticMode&&t.container.removeChild(VE),u};wv.setConvert=function(){for(var e=this,t=0;t<3;t++){var r=e.fullSceneLayout[HE[t]];$D.setConvert(r,e.fullLayout),r.setScale=up.noop}};wv.make4thDimension=function(){var e=this,t=e.graphDiv,r=t._fullLayout;e._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},$D.setConvert(e._mockAxis,r)};pPe.exports=vPe});var yPe=ye((yvr,mPe)=>{\"use strict\";mPe.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}});var mZ=ye((_vr,_Pe)=>{\"use strict\";var EPt=va(),cs=Cd(),gZ=no().extendFlat,kPt=Bu().overrideAll;_Pe.exports=kPt({visible:cs.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:EPt.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:cs.color,categoryorder:cs.categoryorder,categoryarray:cs.categoryarray,title:{text:cs.title.text,font:cs.title.font},type:gZ({},cs.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:cs.autotypenumbers,autorange:cs.autorange,autorangeoptions:{minallowed:cs.autorangeoptions.minallowed,maxallowed:cs.autorangeoptions.maxallowed,clipmin:cs.autorangeoptions.clipmin,clipmax:cs.autorangeoptions.clipmax,include:cs.autorangeoptions.include,editType:\"plot\"},rangemode:cs.rangemode,minallowed:cs.minallowed,maxallowed:cs.maxallowed,range:gZ({},cs.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:cs.minor.tickmode,nticks:cs.nticks,tick0:cs.tick0,dtick:cs.dtick,tickvals:cs.tickvals,ticktext:cs.ticktext,ticks:cs.ticks,mirror:cs.mirror,ticklen:cs.ticklen,tickwidth:cs.tickwidth,tickcolor:cs.tickcolor,showticklabels:cs.showticklabels,labelalias:cs.labelalias,tickfont:cs.tickfont,tickangle:cs.tickangle,tickprefix:cs.tickprefix,showtickprefix:cs.showtickprefix,ticksuffix:cs.ticksuffix,showticksuffix:cs.showticksuffix,showexponent:cs.showexponent,exponentformat:cs.exponentformat,minexponent:cs.minexponent,separatethousands:cs.separatethousands,tickformat:cs.tickformat,tickformatstops:cs.tickformatstops,hoverformat:cs.hoverformat,showline:cs.showline,linecolor:cs.linecolor,linewidth:cs.linewidth,showgrid:cs.showgrid,gridcolor:gZ({},cs.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:cs.gridwidth,zeroline:cs.zeroline,zerolinecolor:cs.zerolinecolor,zerolinewidth:cs.zerolinewidth},\"plot\",\"from-root\")});var bZ=ye((xvr,xPe)=>{\"use strict\";var yZ=mZ(),CPt=Ju().attributes,_Z=no().extendFlat,LPt=Mr().counterRegex;function xZ(e,t,r){return{x:{valType:\"number\",dflt:e,editType:\"camera\"},y:{valType:\"number\",dflt:t,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}xPe.exports={_arrayAttrRegexps:[LPt(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:_Z(xZ(0,0,1),{}),center:_Z(xZ(0,0,0),{}),eye:_Z(xZ(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:CPt({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:yZ,yaxis:yZ,zaxis:yZ,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\"}});var APe=ye((bvr,TPe)=>{\"use strict\";var PPt=id().mix,bPe=Mr(),IPt=Vs(),RPt=mZ(),DPt=yU(),zPt=JM(),wPe=[\"xaxis\",\"yaxis\",\"zaxis\"],FPt=100*136/187;TPe.exports=function(t,r,n){var i,a;function o(u,c){return bPe.coerce(i,a,RPt,u,c)}for(var s=0;s{\"use strict\";var qPt=Mr(),OPt=va(),BPt=ba(),NPt=k_(),UPt=APe(),SPe=bZ(),VPt=kd().getSubplotData,MPe=\"gl3d\";EPe.exports=function(t,r,n){var i=r._basePlotModules.length>1;function a(o){if(!i){var s=qPt.validate(t[o],SPe[o]);if(s)return t[o]}}NPt(t,r,n,{type:MPe,attributes:SPe,handleDefaults:HPt,fullLayout:r,font:r.font,fullData:n,getDfltFromLayout:a,autotypenumbersDflt:r.autotypenumbers,paper_bgcolor:r.paper_bgcolor,calendar:r.calendar})};function HPt(e,t,r,n){for(var i=r(\"bgcolor\"),a=OPt.combine(i,n.paper_bgcolor),o=[\"up\",\"center\",\"eye\"],s=0;s.999)&&(h=\"turntable\")}else h=\"turntable\";r(\"dragmode\",h),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}});var $_=ye(cp=>{\"use strict\";var GPt=Bu().overrideAll,jPt=B1(),WPt=gPe(),ZPt=kd().getSubplotData,XPt=Mr(),YPt=Zp(),B5=\"gl3d\",wZ=\"scene\";cp.name=B5;cp.attr=wZ;cp.idRoot=wZ;cp.idRegex=cp.attrRegex=XPt.counterRegex(\"scene\");cp.attributes=yPe();cp.layoutAttributes=bZ();cp.baseLayoutAttrOverrides=GPt({hoverlabel:jPt.hoverlabel},\"plot\",\"nested\");cp.supplyLayoutDefaults=kPe();cp.plot=function(t){for(var r=t._fullLayout,n=t._fullData,i=r._subplots[B5],a=0;a{\"use strict\";CPe.exports={plot:NLe(),attributes:dZ(),markerSymbols:ZD(),supplyDefaults:WLe(),colorbar:[{container:\"marker\",min:\"cmin\",max:\"cmax\"},{container:\"line\",min:\"cmin\",max:\"cmax\"}],calc:XLe(),moduleType:\"trace\",name:\"scatter3d\",basePlotModule:$_(),categories:[\"gl3d\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var IPe=ye((Svr,PPe)=>{\"use strict\";PPe.exports=LPe()});var GE=ye((Mvr,zPe)=>{\"use strict\";var RPe=va(),KPt=Kl(),TZ=Oc().axisHoverFormat,JPt=Wo().hovertemplateAttrs,DPe=vl(),AZ=no().extendFlat,$Pt=Bu().overrideAll;function SZ(e){return{valType:\"boolean\",dflt:!1}}function MZ(e){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:SZ(\"x\"),y:SZ(\"y\"),z:SZ(\"z\")},color:{valType:\"color\",dflt:RPe.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:RPe.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var EZ=zPe.exports=$Pt(AZ({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:JPt(),xhoverformat:TZ(\"x\"),yhoverformat:TZ(\"y\"),zhoverformat:TZ(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},KPt(\"\",{colorAttr:\"z or 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BPe=zv();NPe.exports=function(t,r){r.surfacecolor?BPe(t,r,{vals:r.surfacecolor,containerStr:\"\",cLetter:\"c\"}):BPe(t,r,{vals:r.z,containerStr:\"\",cLetter:\"c\"})}});var ZPe=ye((Cvr,WPe)=>{\"use strict\";var aIt=Rd().gl_surface3d,N5=Rd().ndarray,oIt=Rd().ndarray_linear_interpolate.d2,sIt=QI(),lIt=e8(),jE=Mr().isArrayOrTypedArray,uIt=$y().parseColorScale,VPe=Jy(),cIt=Mu().extractOpts;function GPe(e,t,r){this.scene=e,this.uid=r,this.surface=t,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var Jg=GPe.prototype;Jg.getXat=function(e,t,r,n){var i=jE(this.data.x)?jE(this.data.x[0])?this.data.x[t][e]:this.data.x[e]:e;return r===void 0?i:n.d2l(i,0,r)};Jg.getYat=function(e,t,r,n){var i=jE(this.data.y)?jE(this.data.y[0])?this.data.y[t][e]:this.data.y[t]:t;return r===void 0?i:n.d2l(i,0,r)};Jg.getZat=function(e,t,r,n){var i=this.data.z[t][e];return i===null&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[t][e]),r===void 0?i:n.d2l(i,0,r)};Jg.handlePick=function(e){if(e.object===this.surface){var t=(e.data.index[0]-1)/this.dataScaleX-1,r=(e.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(t),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);e.index=[n,i],e.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],e.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=e.dataCoordinate[a];o!=null&&(e.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return jE(s)&&s[i]&&s[i][n]!==void 0?e.textLabel=s[i][n]:s?e.textLabel=s:e.textLabel=\"\",e.data.dataCoordinate=e.dataCoordinate.slice(),this.surface.highlight(e.data),this.scene.glplot.spikes.position=e.dataCoordinate,!0}};function fIt(e){var t=e[0].rgb,r=e[e.length-1].rgb;return t[0]===r[0]&&t[1]===r[1]&&t[2]===r[2]&&t[3]===r[3]}var 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hIt(e,t){if(e0){r=U5[n];break}return r}function vIt(e,t){if(!(e<1||t<1)){for(var r=LZ(e),n=LZ(t),i=1,a=0;aQD;)n--,n/=dIt(n),n++,n1?i:1};function gIt(e,t,r){var n=r[8]+r[2]*t[0]+r[5]*t[1];return e[0]=(r[6]+r[0]*t[0]+r[3]*t[1])/n,e[1]=(r[7]+r[1]*t[0]+r[4]*t[1])/n,e}function mIt(e,t,r){return yIt(e,t,gIt,r),e}function yIt(e,t,r,n){for(var i=[0,0],a=e.shape[0],o=e.shape[1],s=0;s0&&this.contourStart[n]!==null&&this.contourEnd[n]!==null&&this.contourEnd[n]>this.contourStart[n]))for(t[n]=!0,i=this.contourStart[n];ih&&(this.minValues[u]=h),this.maxValues[u]{\"use strict\";XPe.exports={attributes:GE(),supplyDefaults:CZ().supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:UPe(),plot:ZPe(),moduleType:\"trace\",name:\"surface\",basePlotModule:$_(),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}});var JPe=ye((Pvr,KPe)=>{\"use strict\";KPe.exports=YPe()});var V5=ye((Ivr,QPe)=>{\"use strict\";var bIt=Kl(),PZ=Oc().axisHoverFormat,wIt=Wo().hovertemplateAttrs,Q_=GE(),$Pe=vl(),ex=no().extendFlat;QPe.exports=ex({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:wIt({editType:\"calc\"}),xhoverformat:PZ(\"x\"),yhoverformat:PZ(\"y\"),zhoverformat:PZ(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"}},bIt(\"\",{colorAttr:\"`intensity`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:Q_.opacity,flatshading:{valType:\"boolean\",dflt:!1,editType:\"calc\"},contour:{show:ex({},Q_.contours.x.show,{}),color:Q_.contours.x.color,width:Q_.contours.x.width,editType:\"calc\"},lightposition:{x:ex({},Q_.lightposition.x,{dflt:1e5}),y:ex({},Q_.lightposition.y,{dflt:1e5}),z:ex({},Q_.lightposition.z,{dflt:0}),editType:\"calc\"},lighting:ex({vertexnormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-12,editType:\"calc\"},facenormalsepsilon:{valType:\"number\",min:0,max:1,dflt:1e-6,editType:\"calc\"},editType:\"calc\"},Q_.lighting),hoverinfo:ex({},$Pe.hoverinfo,{editType:\"calc\"}),showlegend:ex({},$Pe.showlegend,{dflt:!1})})});var tz=ye((Rvr,tIe)=>{\"use strict\";var TIt=Kl(),ez=Oc().axisHoverFormat,AIt=Wo().hovertemplateAttrs,WE=V5(),eIe=vl(),IZ=no().extendFlat,SIt=Bu().overrideAll;function RZ(e){return{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}}function DZ(e){return{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}}var H5=tIe.exports=SIt(IZ({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:RZ(\"x\"),y:RZ(\"y\"),z:RZ(\"z\")},caps:{x:DZ(\"x\"),y:DZ(\"y\"),z:DZ(\"z\")},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:AIt(),xhoverformat:ez(\"x\"),yhoverformat:ez(\"y\"),zhoverformat:ez(\"z\"),valuehoverformat:ez(\"value\",1),showlegend:IZ({},eIe.showlegend,{dflt:!1})},TIt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:WE.opacity,lightposition:WE.lightposition,lighting:WE.lighting,flatshading:WE.flatshading,contour:WE.contour,hoverinfo:IZ({},eIe.hoverinfo)}),\"calc\",\"nested\");H5.flatshading.dflt=!0;H5.lighting.facenormalsepsilon.dflt=0;H5.x.editType=H5.y.editType=H5.z.editType=H5.value.editType=\"calc+clearAxisTypes\"});var zZ=ye((Dvr,iIe)=>{\"use strict\";var MIt=Mr(),EIt=ba(),kIt=tz(),CIt=Uh();function LIt(e,t,r,n){function i(a,o){return MIt.coerce(e,t,kIt,a,o)}rIe(e,t,r,n,i)}function rIe(e,t,r,n,i){var a=i(\"isomin\"),o=i(\"isomax\");o!=null&&a!==void 0&&a!==null&&a>o&&(t.isomin=null,t.isomax=null);var s=i(\"x\"),l=i(\"y\"),u=i(\"z\"),c=i(\"value\");if(!s||!s.length||!l||!l.length||!u||!u.length||!c||!c.length){t.visible=!1;return}var f=EIt.getComponentMethod(\"calendars\",\"handleTraceDefaults\");f(e,t,[\"x\",\"y\",\"z\"],n),i(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach(function(x){i(x+\"hoverformat\");var b=\"caps.\"+x,g=i(b+\".show\");g&&i(b+\".fill\");var E=\"slices.\"+x,k=i(E+\".show\");k&&(i(E+\".fill\"),i(E+\".locations\"))});var h=i(\"spaceframe.show\");h&&i(\"spaceframe.fill\");var d=i(\"surface.show\");d&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\"));var v=i(\"contour.show\");v&&(i(\"contour.color\"),i(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach(function(x){i(x)}),CIt(e,t,n,i,{prefix:\"\",cLetter:\"c\"}),t._length=null}iIe.exports={supplyDefaults:LIt,supplyIsoDefaults:rIe}});var rz=ye((zvr,aIe)=>{\"use strict\";var qZ=Mr(),PIt=zv();function IIt(e,t){t._len=Math.min(t.u.length,t.v.length,t.w.length,t.x.length,t.y.length,t.z.length),t._u=Gm(t.u,t._len),t._v=Gm(t.v,t._len),t._w=Gm(t.w,t._len),t._x=Gm(t.x,t._len),t._y=Gm(t.y,t._len),t._z=Gm(t.z,t._len);var r=nIe(t);t._gridFill=r.fill,t._Xs=r.Xs,t._Ys=r.Ys,t._Zs=r.Zs,t._len=r.len;var n=0,i,a,o;t.starts&&(i=Gm(t.starts.x||[]),a=Gm(t.starts.y||[]),o=Gm(t.starts.z||[]),n=Math.min(i.length,a.length,o.length)),t._startsX=i||[],t._startsY=a||[],t._startsZ=o||[];var s=0,l=1/0,u;for(u=0;u1&&(k=t[i-1],L=r[i-1],C=n[i-1]),a=0;ak?\"-\":\"+\")+\"x\"),v=v.replace(\"y\",(A>L?\"-\":\"+\")+\"y\"),v=v.replace(\"z\",(_>C?\"-\":\"+\")+\"z\");var T=function(){i=0,M=[],p=[],P=[]};(!i||i{\"use strict\";var RIt=zv(),DIt=rz().processGrid,iz=rz().filter;oIe.exports=function(t,r){r._len=Math.min(r.x.length,r.y.length,r.z.length,r.value.length),r._x=iz(r.x,r._len),r._y=iz(r.y,r._len),r._z=iz(r.z,r._len),r._value=iz(r.value,r._len);var n=DIt(r);r._gridFill=n.fill,r._Xs=n.Xs,r._Ys=n.Ys,r._Zs=n.Zs,r._len=n.len;for(var i=1/0,a=-1/0,o=0;o{\"use strict\";sIe.exports=function(t,r,n,i){i=i||t.length;for(var a=new Array(i),o=0;o{\"use strict\";var zIt=Rd().gl_mesh3d,FIt=$y().parseColorScale,qIt=Mr().isArrayOrTypedArray,OIt=Jy(),BIt=Mu().extractOpts,lIe=G5(),ZE=function(e,t){for(var r=t.length-1;r>0;r--){var n=Math.min(t[r],t[r-1]),i=Math.max(t[r],t[r-1]);if(i>n&&n-1}function ae(bt,Lt){return bt===null?Lt:bt}function _e(bt,Lt,St){T();var Et=[Lt],dt=[St];if(G>=1)Et=[Lt],dt=[St];else if(G>0){var Ht=W(Lt,St);Et=Ht.xyzv,dt=Ht.abc}for(var $t=0;$t-1?St[_r]:P(Br,Or,Nr);Ne>-1?fr[_r]=Ne:fr[_r]=q(Br,Or,Nr,ae(bt,ut))}V(fr[0],fr[1],fr[2])}}function Me(bt,Lt,St){var Et=function(dt,Ht,$t){_e(bt,[Lt[dt],Lt[Ht],Lt[$t]],[St[dt],St[Ht],St[$t]])};Et(0,1,2),Et(2,3,0)}function ke(bt,Lt,St){var Et=function(dt,Ht,$t){_e(bt,[Lt[dt],Lt[Ht],Lt[$t]],[St[dt],St[Ht],St[$t]])};Et(0,1,2),Et(3,0,1),Et(2,3,0),Et(1,2,3)}function ge(bt,Lt,St,Et){var dt=bt[3];dtEt&&(dt=Et);for(var Ht=(bt[3]-dt)/(bt[3]-Lt[3]+1e-9),$t=[],fr=0;fr<4;fr++)$t[fr]=(1-Ht)*bt[fr]+Ht*Lt[fr];return $t}function ie(bt,Lt,St){return bt>=Lt&&bt<=St}function Te(bt){var Lt=.001*(L-A);return bt>=A-Lt&&bt<=L+Lt}function Ee(bt){for(var Lt=[],St=0;St<4;St++){var Et=bt[St];Lt.push([e._x[Et],e._y[Et],e._z[Et],e._value[Et]])}return Lt}var Ae=3;function ze(bt,Lt,St,Et,dt,Ht){Ht||(Ht=1),St=[-1,-1,-1];var $t=!1,fr=[ie(Lt[0][3],Et,dt),ie(Lt[1][3],Et,dt),ie(Lt[2][3],Et,dt)];if(!fr[0]&&!fr[1]&&!fr[2])return!1;var _r=function(Or,Nr,ut){return Te(Nr[0][3])&&Te(Nr[1][3])&&Te(Nr[2][3])?(_e(Or,Nr,ut),!0):Htfr?[E,Ht]:[Ht,k];kt(Lt,_r[0],_r[1])}}var Br=[[Math.min(A,k),Math.max(A,k)],[Math.min(E,L),Math.max(E,L)]];[\"x\",\"y\",\"z\"].forEach(function(Or){for(var Nr=[],ut=0;ut0&&(Le.push(lt.id),Or===\"x\"?xe.push([lt.distRatio,0,0]):Or===\"y\"?xe.push([0,lt.distRatio,0]):xe.push([0,0,lt.distRatio]))}else Or===\"x\"?ht=er(1,d-1):Or===\"y\"?ht=er(1,v-1):ht=er(1,x-1);Le.length>0&&(Or===\"x\"?Nr[Ne]=Ct(bt,Le,Ye,Ve,xe,Nr[Ne]):Or===\"y\"?Nr[Ne]=Yt(bt,Le,Ye,Ve,xe,Nr[Ne]):Nr[Ne]=xr(bt,Le,Ye,Ve,xe,Nr[Ne]),Ne++),ht.length>0&&(Or===\"x\"?Nr[Ne]=ct(bt,ht,Ye,Ve,Nr[Ne]):Or===\"y\"?Nr[Ne]=qt(bt,ht,Ye,Ve,Nr[Ne]):Nr[Ne]=rt(bt,ht,Ye,Ve,Nr[Ne]),Ne++)}var Gt=e.caps[Or];Gt.show&&Gt.fill&&(N(Gt.fill),Or===\"x\"?Nr[Ne]=ct(bt,[0,d-1],Ye,Ve,Nr[Ne]):Or===\"y\"?Nr[Ne]=qt(bt,[0,v-1],Ye,Ve,Nr[Ne]):Nr[Ne]=rt(bt,[0,x-1],Ye,Ve,Nr[Ne]),Ne++)}}),s===0&&F(),e._meshX=_,e._meshY=C,e._meshZ=M,e._meshIntensity=p,e._Xs=c,e._Ys=f,e._Zs=h}return xt(),e}function UIt(e,t){var r=e.glplot.gl,n=zIt({gl:r}),i=new uIe(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}fIe.exports={findNearestOnAxis:ZE,generateIsoMeshes:cIe,createIsosurfaceTrace:UIt}});var dIe=ye((Bvr,hIe)=>{\"use strict\";hIe.exports={attributes:tz(),supplyDefaults:zZ().supplyDefaults,calc:OZ(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:nz().createIsosurfaceTrace,moduleType:\"trace\",name:\"isosurface\",basePlotModule:$_(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var pIe=ye((Nvr,vIe)=>{\"use strict\";vIe.exports=dIe()});var UZ=ye((Uvr,mIe)=>{\"use strict\";var VIt=Kl(),xh=tz(),HIt=GE(),gIe=vl(),NZ=no().extendFlat,GIt=Bu().overrideAll,az=mIe.exports=GIt(NZ({x:xh.x,y:xh.y,z:xh.z,value:xh.value,isomin:xh.isomin,isomax:xh.isomax,surface:xh.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:xh.slices,caps:xh.caps,text:xh.text,hovertext:xh.hovertext,xhoverformat:xh.xhoverformat,yhoverformat:xh.yhoverformat,zhoverformat:xh.zhoverformat,valuehoverformat:xh.valuehoverformat,hovertemplate:xh.hovertemplate},VIt(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:xh.colorbar,opacity:xh.opacity,opacityscale:HIt.opacityscale,lightposition:xh.lightposition,lighting:xh.lighting,flatshading:xh.flatshading,contour:xh.contour,hoverinfo:NZ({},gIe.hoverinfo),showlegend:NZ({},gIe.showlegend,{dflt:!1})}),\"calc\",\"nested\");az.x.editType=az.y.editType=az.z.editType=az.value.editType=\"calc+clearAxisTypes\"});var _Ie=ye((Vvr,yIe)=>{\"use strict\";var jIt=Mr(),WIt=UZ(),ZIt=zZ().supplyIsoDefaults,XIt=CZ().opacityscaleDefaults;yIe.exports=function(t,r,n,i){function a(o,s){return jIt.coerce(t,r,WIt,o,s)}ZIt(t,r,n,i,a),XIt(t,r,i,a)}});var TIe=ye((Hvr,wIe)=>{\"use strict\";var YIt=Rd().gl_mesh3d,KIt=$y().parseColorScale,JIt=Mr().isArrayOrTypedArray,$It=Jy(),QIt=Mu().extractOpts,xIe=G5(),VZ=nz().findNearestOnAxis,e8t=nz().generateIsoMeshes;function bIe(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.data=null,this.showContour=!1}var HZ=bIe.prototype;HZ.handlePick=function(e){if(e.object===this.mesh){var t=e.data.index,r=this.data._meshX[t],n=this.data._meshY[t],i=this.data._meshZ[t],a=this.data._Ys.length,o=this.data._Zs.length,s=VZ(r,this.data._Xs).id,l=VZ(n,this.data._Ys).id,u=VZ(i,this.data._Zs).id,c=e.index=u+o*l+o*a*s;e.traceCoordinate=[this.data._meshX[c],this.data._meshY[c],this.data._meshZ[c],this.data._value[c]];var f=this.data.hovertext||this.data.text;return JIt(f)&&f[c]!==void 0?e.textLabel=f[c]:f&&(e.textLabel=f),!0}};HZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=e8t(e);function n(l,u,c,f){return u.map(function(h){return l.d2l(h,0,f)*c})}var i=xIe(n(r.xaxis,e._meshX,t.dataScale[0],e.xcalendar),n(r.yaxis,e._meshY,t.dataScale[1],e.ycalendar),n(r.zaxis,e._meshZ,t.dataScale[2],e.zcalendar)),a=xIe(e._meshI,e._meshJ,e._meshK),o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,opacityscale:e.opacityscale,contourEnable:e.contour.show,contourColor:$It(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading},s=QIt(e);o.vertexIntensity=e._meshIntensity,o.vertexIntensityBounds=[s.min,s.max],o.colormap=KIt(e),this.mesh.update(o)};HZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function t8t(e,t){var r=e.glplot.gl,n=YIt({gl:r}),i=new bIe(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}wIe.exports=t8t});var SIe=ye((Gvr,AIe)=>{\"use strict\";AIe.exports={attributes:UZ(),supplyDefaults:_Ie(),calc:OZ(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:TIe(),moduleType:\"trace\",name:\"volume\",basePlotModule:$_(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var EIe=ye((jvr,MIe)=>{\"use strict\";MIe.exports=SIe()});var LIe=ye((Wvr,CIe)=>{\"use strict\";var r8t=ba(),kIe=Mr(),i8t=Uh(),n8t=V5();CIe.exports=function(t,r,n,i){function a(c,f){return kIe.coerce(t,r,n8t,c,f)}function o(c){var f=c.map(function(h){var d=a(h);return d&&kIe.isArrayOrTypedArray(d)?d:null});return f.every(function(h){return h&&h.length===f[0].length})&&f}var s=o([\"x\",\"y\",\"z\"]);if(!s){r.visible=!1;return}if(o([\"i\",\"j\",\"k\"]),r.i&&(!r.j||!r.k)||r.j&&(!r.k||!r.i)||r.k&&(!r.i||!r.j)){r.visible=!1;return}var l=r8t.getComponentMethod(\"calendars\",\"handleTraceDefaults\");l(t,r,[\"x\",\"y\",\"z\"],i),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"alphahull\",\"delaunayaxis\",\"opacity\"].forEach(function(c){a(c)});var u=a(\"contour.show\");u&&(a(\"contour.color\"),a(\"contour.width\")),\"intensity\"in t?(a(\"intensity\"),a(\"intensitymode\"),i8t(t,r,i,a,{prefix:\"\",cLetter:\"c\"})):(r.showscale=!1,\"facecolor\"in t?a(\"facecolor\"):\"vertexcolor\"in t?a(\"vertexcolor\"):a(\"color\",n)),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"zhoverformat\"),r._length=null}});var IIe=ye((Zvr,PIe)=>{\"use strict\";var a8t=zv();PIe.exports=function(t,r){r.intensity&&a8t(t,r,{vals:r.intensity,containerStr:\"\",cLetter:\"c\"})}});var qIe=ye((Xvr,FIe)=>{\"use strict\";var o8t=Rd().gl_mesh3d,s8t=Rd().delaunay_triangulate,l8t=Rd().alpha_shape,u8t=Rd().convex_hull,c8t=$y().parseColorScale,f8t=Mr().isArrayOrTypedArray,ZZ=Jy(),h8t=Mu().extractOpts,RIe=G5();function zIe(e,t,r){this.scene=e,this.uid=r,this.mesh=t,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var XZ=zIe.prototype;XZ.handlePick=function(e){if(e.object===this.mesh){var t=e.index=e.data.index;e.data._cellCenter?e.traceCoordinate=e.data.dataCoordinate:e.traceCoordinate=[this.data.x[t],this.data.y[t],this.data.z[t]];var r=this.data.hovertext||this.data.text;return f8t(r)&&r[t]!==void 0?e.textLabel=r[t]:r&&(e.textLabel=r),!0}};function DIe(e){for(var t=[],r=e.length,n=0;n=t-.5)return!1;return!0}XZ.update=function(e){var t=this.scene,r=t.fullSceneLayout;this.data=e;var n=e.x.length,i=RIe(GZ(r.xaxis,e.x,t.dataScale[0],e.xcalendar),GZ(r.yaxis,e.y,t.dataScale[1],e.ycalendar),GZ(r.zaxis,e.z,t.dataScale[2],e.zcalendar)),a;if(e.i&&e.j&&e.k){if(e.i.length!==e.j.length||e.j.length!==e.k.length||!WZ(e.i,n)||!WZ(e.j,n)||!WZ(e.k,n))return;a=RIe(jZ(e.i),jZ(e.j),jZ(e.k))}else e.alphahull===0?a=u8t(i):e.alphahull>0?a=l8t(e.alphahull,i):a=d8t(e.delaunayaxis,i);var o={positions:i,cells:a,lightPosition:[e.lightposition.x,e.lightposition.y,e.lightposition.z],ambient:e.lighting.ambient,diffuse:e.lighting.diffuse,specular:e.lighting.specular,roughness:e.lighting.roughness,fresnel:e.lighting.fresnel,vertexNormalsEpsilon:e.lighting.vertexnormalsepsilon,faceNormalsEpsilon:e.lighting.facenormalsepsilon,opacity:e.opacity,contourEnable:e.contour.show,contourColor:ZZ(e.contour.color).slice(0,3),contourWidth:e.contour.width,useFacetNormals:e.flatshading};if(e.intensity){var s=h8t(e);this.color=\"#fff\";var l=e.intensitymode;o[l+\"Intensity\"]=e.intensity,o[l+\"IntensityBounds\"]=[s.min,s.max],o.colormap=c8t(e)}else e.vertexcolor?(this.color=e.vertexcolor[0],o.vertexColors=DIe(e.vertexcolor)):e.facecolor?(this.color=e.facecolor[0],o.cellColors=DIe(e.facecolor)):(this.color=e.color,o.meshColor=ZZ(e.color));this.mesh.update(o)};XZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function v8t(e,t){var r=e.glplot.gl,n=o8t({gl:r}),i=new zIe(e,n,t.uid);return n._trace=i,i.update(t),e.glplot.add(n),i}FIe.exports=v8t});var BIe=ye((Yvr,OIe)=>{\"use strict\";OIe.exports={attributes:V5(),supplyDefaults:LIe(),calc:IIe(),colorbar:{min:\"cmin\",max:\"cmax\"},plot:qIe(),moduleType:\"trace\",name:\"mesh3d\",basePlotModule:$_(),categories:[\"gl3d\",\"showLegend\"],meta:{}}});var UIe=ye((Kvr,NIe)=>{\"use strict\";NIe.exports=BIe()});var KZ=ye((Jvr,HIe)=>{\"use strict\";var p8t=Kl(),j5=Oc().axisHoverFormat,g8t=Wo().hovertemplateAttrs,m8t=V5(),VIe=vl(),YZ=no().extendFlat,oz={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:g8t({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:j5(\"u\",1),vhoverformat:j5(\"v\",1),whoverformat:j5(\"w\",1),xhoverformat:j5(\"x\"),yhoverformat:j5(\"y\"),zhoverformat:j5(\"z\"),showlegend:YZ({},VIe.showlegend,{dflt:!1})};YZ(oz,p8t(\"\",{colorAttr:\"u/v/w 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h=a(\"sizemode\");a(\"sizeref\",h===\"raw\"?1:.5),a(\"anchor\"),a(\"lighting.ambient\"),a(\"lighting.diffuse\"),a(\"lighting.specular\"),a(\"lighting.roughness\"),a(\"lighting.fresnel\"),a(\"lightposition.x\"),a(\"lightposition.y\"),a(\"lightposition.z\"),x8t(t,r,i,a,{prefix:\"\",cLetter:\"c\"}),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"uhoverformat\"),a(\"vhoverformat\"),a(\"whoverformat\"),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"zhoverformat\"),r._length=null}});var ZIe=ye((Qvr,WIe)=>{\"use strict\";var w8t=zv();WIe.exports=function(t,r){for(var n=r.u,i=r.v,a=r.w,o=Math.min(r.x.length,r.y.length,r.z.length,n.length,i.length,a.length),s=-1/0,l=1/0,u=0;u{\"use strict\";var T8t=Rd().gl_cone3d,A8t=Rd().gl_cone3d.createConeMesh,S8t=Mr().simpleMap,M8t=$y().parseColorScale,E8t=Mu().extractOpts,k8t=Mr().isArrayOrTypedArray,XIe=G5();function YIe(e,t){this.scene=e,this.uid=t,this.mesh=null,this.data=null}var JZ=YIe.prototype;JZ.handlePick=function(e){if(e.object===this.mesh){var t=e.index=e.data.index,r=this.data.x[t],n=this.data.y[t],i=this.data.z[t],a=this.data.u[t],o=this.data.v[t],s=this.data.w[t];e.traceCoordinate=[r,n,i,a,o,s,Math.sqrt(a*a+o*o+s*s)];var l=this.data.hovertext||this.data.text;return k8t(l)&&l[t]!==void 0?e.textLabel=l[t]:l&&(e.textLabel=l),!0}};var C8t={xaxis:0,yaxis:1,zaxis:2},L8t={tip:1,tail:0,cm:.25,center:.5},P8t={tip:1,tail:1,cm:.75,center:.5};function KIe(e,t){var r=e.fullSceneLayout,n=e.dataScale,i={};function a(c,f){var h=r[f],d=n[C8t[f]];return S8t(c,function(v){return h.d2l(v)*d})}i.vectors=XIe(a(t.u,\"xaxis\"),a(t.v,\"yaxis\"),a(t.w,\"zaxis\"),t._len),i.positions=XIe(a(t.x,\"xaxis\"),a(t.y,\"yaxis\"),a(t.z,\"zaxis\"),t._len);var o=E8t(t);i.colormap=M8t(t),i.vertexIntensityBounds=[o.min/t._normMax,o.max/t._normMax],i.coneOffset=L8t[t.anchor];var s=t.sizemode;s===\"scaled\"?i.coneSize=t.sizeref||.5:s===\"absolute\"?i.coneSize=t.sizeref&&t._normMax?t.sizeref/t._normMax:.5:s===\"raw\"&&(i.coneSize=t.sizeref),i.coneSizemode=s;var l=T8t(i),u=t.lightposition;return l.lightPosition=[u.x,u.y,u.z],l.ambient=t.lighting.ambient,l.diffuse=t.lighting.diffuse,l.specular=t.lighting.specular,l.roughness=t.lighting.roughness,l.fresnel=t.lighting.fresnel,l.opacity=t.opacity,t._pad=P8t[t.anchor]*l.vectorScale*l.coneScale*t._normMax,l}JZ.update=function(e){this.data=e;var t=KIe(this.scene,e);this.mesh.update(t)};JZ.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};function I8t(e,t){var r=e.glplot.gl,n=KIe(e,t),i=A8t(r,n),a=new YIe(e,t.uid);return a.mesh=i,a.data=t,i._trace=a,e.glplot.add(i),a}JIe.exports=I8t});var e8e=ye((tpr,QIe)=>{\"use 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R8t=Kl(),W5=Oc().axisHoverFormat,D8t=Wo().hovertemplateAttrs,z8t=V5(),i8e=vl(),$Z=no().extendFlat,sz={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:D8t({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:W5(\"u\",1),vhoverformat:W5(\"v\",1),whoverformat:W5(\"w\",1),xhoverformat:W5(\"x\"),yhoverformat:W5(\"y\"),zhoverformat:W5(\"z\"),showlegend:$Z({},i8e.showlegend,{dflt:!1})};$Z(sz,R8t(\"\",{colorAttr:\"u/v/w 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o=a(\"u\"),s=a(\"v\"),l=a(\"w\"),u=a(\"x\"),c=a(\"y\"),f=a(\"z\");if(!o||!o.length||!s||!s.length||!l||!l.length||!u||!u.length||!c||!c.length||!f||!f.length){r.visible=!1;return}a(\"starts.x\"),a(\"starts.y\"),a(\"starts.z\"),a(\"maxdisplayed\"),a(\"sizeref\"),a(\"lighting.ambient\"),a(\"lighting.diffuse\"),a(\"lighting.specular\"),a(\"lighting.roughness\"),a(\"lighting.fresnel\"),a(\"lightposition.x\"),a(\"lightposition.y\"),a(\"lightposition.z\"),O8t(t,r,i,a,{prefix:\"\",cLetter:\"c\"}),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"uhoverformat\"),a(\"vhoverformat\"),a(\"whoverformat\"),a(\"xhoverformat\"),a(\"yhoverformat\"),a(\"zhoverformat\"),r._length=null}});var v8e=ye((apr,d8e)=>{\"use strict\";var u8e=Rd().gl_streamtube3d,N8t=u8e.createTubeMesh,U8t=Mr(),V8t=$y().parseColorScale,H8t=Mu().extractOpts,s8e=G5(),c8e={xaxis:0,yaxis:1,zaxis:2};function f8e(e,t){this.scene=e,this.uid=t,this.mesh=null,this.data=null}var tX=f8e.prototype;tX.handlePick=function(e){var t=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(o,s){var l=t[s],u=r[c8e[s]];return l.l2c(o)/u}if(e.object===this.mesh){var i=e.data.position,a=e.data.velocity;return e.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),e.data.intensity*this.data._normMax,e.data.divergence],e.textLabel=this.data.hovertext||this.data.text,!0}};function l8e(e){var t=e.length,r;return t>2?r=e.slice(1,t-1):t===2?r=[(e[0]+e[1])/2]:r=e,r}function eX(e){var t=e.length;return t===1?[.5,.5]:[e[1]-e[0],e[t-1]-e[t-2]]}function h8e(e,t){var r=e.fullSceneLayout,n=e.dataScale,i=t._len,a={};function o(F,q){var V=r[q],H=n[c8e[q]];return U8t.simpleMap(F,function(X){return V.d2l(X)*H})}if(a.vectors=s8e(o(t._u,\"xaxis\"),o(t._v,\"yaxis\"),o(t._w,\"zaxis\"),i),!i)return{positions:[],cells:[]};var s=o(t._Xs,\"xaxis\"),l=o(t._Ys,\"yaxis\"),u=o(t._Zs,\"zaxis\");a.meshgrid=[s,l,u],a.gridFill=t._gridFill;var c=t._slen;if(c)a.startingPositions=s8e(o(t._startsX,\"xaxis\"),o(t._startsY,\"yaxis\"),o(t._startsZ,\"zaxis\"));else{for(var f=l[0],h=l8e(s),d=l8e(u),v=new Array(h.length*d.length),x=0,b=0;b{\"use strict\";p8e.exports={moduleType:\"trace\",name:\"streamtube\",basePlotModule:$_(),categories:[\"gl3d\",\"showLegend\"],attributes:QZ(),supplyDefaults:o8e(),colorbar:{min:\"cmin\",max:\"cmax\"},calc:rz().calc,plot:v8e(),eventData:function(e,t){return e.tubex=e.x,e.tubey=e.y,e.tubez=e.z,e.tubeu=t.traceCoordinate[3],e.tubev=t.traceCoordinate[4],e.tubew=t.traceCoordinate[5],e.norm=t.traceCoordinate[6],e.divergence=t.traceCoordinate[7],delete e.x,delete e.y,delete e.z,e},meta:{}}});var y8e=ye((spr,m8e)=>{\"use strict\";m8e.exports=g8e()});var H2=ye((lpr,b8e)=>{\"use strict\";var j8t=Wo().hovertemplateAttrs,W8t=Wo().texttemplateAttrs,Z8t=Eg(),jm=Uc(),X8t=vl(),_8e=Kl(),Y8t=Ed().dash,V2=no().extendFlat,K8t=Bu().overrideAll,eg=jm.marker,x8e=jm.line,J8t=eg.line;b8e.exports=K8t({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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LRe(e){this.id=e.id,this.graphDiv=e.graphDiv,this.container=e.container,this.topojsonURL=e.topojsonURL,this.isStatic=e.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var $g=LRe.prototype;PRe.exports=function(t){return new LRe(t)};$g.plot=function(e,t,r,n){var i=this;if(n)return i.update(e,t,!0);i._geoCalcData=e,i._fullLayout=t;var a=t[this.id],o=[],s=!1;for(var l in fp.layerNameToAdjective)if(l!==\"frame\"&&a[\"show\"+l]){s=!0;break}for(var u=!1,c=0;c0&&o._module.calcGeoJSON(a,t)}if(!r){var s=this.updateProjection(e,t);if(s)return;(!this.viewInitial||this.scope!==n.scope)&&this.saveViewInitial(n)}this.scope=n.scope,this.updateBaseLayers(t,n),this.updateDims(t,n),this.updateFx(t,n),BDt.generalUpdatePerTraceModule(this.graphDiv,this,e,n);var l=this.layers.frontplot.select(\".scatterlayer\");this.dataPoints.point=l.selectAll(\".point\"),this.dataPoints.text=l.selectAll(\"text\"),this.dataPaths.line=l.selectAll(\".js-line\");var u=this.layers.backplot.select(\".choroplethlayer\");this.dataPaths.choropleth=u.selectAll(\"path\"),this._render()};$g.updateProjection=function(e,t){var r=this.graphDiv,n=t[this.id],i=t._size,a=n.domain,o=n.projection,s=n.lonaxis,l=n.lataxis,u=s._ax,c=l._ax,f=this.projection=WDt(n),h=[[i.l+i.w*a.x[0],i.t+i.h*(1-a.y[1])],[i.l+i.w*a.x[1],i.t+i.h*(1-a.y[0])]],d=n.center||{},v=o.rotation||{},x=s.range||[],b=l.range||[];if(n.fitbounds){u._length=h[1][0]-h[0][0],c._length=h[1][1]-h[0][1],u.range=ERe(r,u),c.range=ERe(r,c);var g=(u.range[0]+u.range[1])/2,E=(c.range[0]+c.range[1])/2;if(n._isScoped)d={lon:g,lat:E};else if(n._isClipped){d={lon:g,lat:E},v={lon:g,lat:E,roll:v.roll};var k=o.type,A=fp.lonaxisSpan[k]/2||180,L=fp.lataxisSpan[k]/2||90;x=[g-A,g+A],b=[E-L,E+L]}else d={lon:g,lat:E},v={lon:g,lat:v.lat,roll:v.roll}}f.center([d.lon-v.lon,d.lat-v.lat]).rotate([-v.lon,-v.lat,v.roll]).parallels(o.parallels);var _=kRe(x,b);f.fitExtent(h,_);var C=this.bounds=f.getBounds(_),M=this.fitScale=f.scale(),p=f.translate();if(n.fitbounds){var P=f.getBounds(kRe(u.range,c.range)),T=Math.min((C[1][0]-C[0][0])/(P[1][0]-P[0][0]),(C[1][1]-C[0][1])/(P[1][1]-P[0][1]));isFinite(T)?f.scale(T*M):QE.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else f.scale(o.scale*M);var F=this.midPt=[(C[0][0]+C[1][0])/2,(C[0][1]+C[1][1])/2];if(f.translate([p[0]+(F[0]-p[0]),p[1]+(F[1]-p[1])]).clipExtent(C),n._isAlbersUsa){var q=f([d.lon,d.lat]),V=f.translate();f.translate([V[0]-(q[0]-V[0]),V[1]-(q[1]-V[1])])}};$g.updateBaseLayers=function(e,t){var r=this,n=r.topojson,i=r.layers,a=r.basePaths;function o(h){return h===\"lonaxis\"||h===\"lataxis\"}function s(h){return!!fp.lineLayers[h]}function l(h){return!!fp.fillLayers[h]}var u=this.hasChoropleth?fp.layersForChoropleth:fp.layers,c=u.filter(function(h){return s(h)||l(h)?t[\"show\"+h]:o(h)?t[h].showgrid:!0}),f=r.framework.selectAll(\".layer\").data(c,String);f.exit().each(function(h){delete i[h],delete a[h],t1.select(this).remove()}),f.enter().append(\"g\").attr(\"class\",function(h){return\"layer \"+h}).each(function(h){var d=i[h]=t1.select(this);h===\"bg\"?r.bgRect=d.append(\"rect\").style(\"pointer-events\",\"all\"):o(h)?a[h]=d.append(\"path\").style(\"fill\",\"none\"):h===\"backplot\"?d.append(\"g\").classed(\"choroplethlayer\",!0):h===\"frontplot\"?d.append(\"g\").classed(\"scatterlayer\",!0):s(h)?a[h]=d.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):l(h)&&(a[h]=d.append(\"path\").style(\"stroke\",\"none\"))}),f.order(),f.each(function(h){var d=a[h],v=fp.layerNameToAdjective[h];h===\"frame\"?d.datum(fp.sphereSVG):s(h)||l(h)?d.datum(jDt(n,n.objects[h])):o(h)&&d.datum(ZDt(h,t,e)).call(Mz.stroke,t[h].gridcolor).call($E.dashLine,t[h].griddash,t[h].gridwidth),s(h)?d.call(Mz.stroke,t[v+\"color\"]).call($E.dashLine,\"\",t[v+\"width\"]):l(h)&&d.call(Mz.fill,t[v+\"color\"])})};$g.updateDims=function(e,t){var r=this.bounds,n=(t.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;$E.setRect(this.clipRect,i,a,o,s),this.bgRect.call($E.setRect,i,a,o,s).call(Mz.fill,t.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s};$g.updateFx=function(e,t){var r=this,n=r.graphDiv,i=r.bgRect,a=e.dragmode,o=e.clickmode;if(r.isStatic)return;function s(){var f=r.viewInitial,h={};for(var d in f)h[r.id+\".\"+d]=f[d];qDt.call(\"_guiRelayout\",n,h),n.emit(\"plotly_doubleclick\",null)}function l(f){return r.projection.invert([f[0]+r.xaxis._offset,f[1]+r.yaxis._offset])}var u=function(f,h){if(h.isRect){var d=f.range={};d[r.id]=[l([h.xmin,h.ymin]),l([h.xmax,h.ymax])]}else{var v=f.lassoPoints={};v[r.id]=h.map(l)}},c={element:r.bgRect.node(),gd:n,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(f){f===2&&UDt(n)}};a===\"pan\"?(i.node().onmousedown=null,i.call(HDt(r,t)),i.on(\"dblclick.zoom\",s),n._context._scrollZoom.geo||i.on(\"wheel.zoom\",null)):(a===\"select\"||a===\"lasso\")&&(i.on(\".zoom\",null),c.prepFn=function(f,h,d){NDt(f,h,d,c,a)},EX.init(c)),i.on(\"mousemove\",function(){var f=r.projection.invert(QE.getPositionFromD3Event());if(!f)return EX.unhover(n,t1.event);r.xaxis.p2c=function(){return f[0]},r.yaxis.p2c=function(){return f[1]},MRe.hover(n,t1.event,r.id)}),i.on(\"mouseout\",function(){n._dragging||EX.unhover(n,t1.event)}),i.on(\"click\",function(){a!==\"select\"&&a!==\"lasso\"&&(o.indexOf(\"select\")>-1&&VDt(t1.event,n,[r.xaxis],[r.yaxis],r.id,c),o.indexOf(\"event\")>-1&&MRe.click(n,t1.event))})};$g.makeFramework=function(){var e=this,t=e.graphDiv,r=t._fullLayout,n=\"clip\"+r._uid+e.id;e.clipDef=r._clips.append(\"clipPath\").attr(\"id\",n),e.clipRect=e.clipDef.append(\"rect\"),e.framework=t1.select(e.container).append(\"g\").attr(\"class\",\"geo \"+e.id).call($E.setClipUrl,n,t),e.project=function(i){var a=e.projection(i);return a?[a[0]-e.xaxis._offset,a[1]-e.yaxis._offset]:[null,null]},e.xaxis={_id:\"x\",c2p:function(i){return e.project(i)[0]}},e.yaxis={_id:\"y\",c2p:function(i){return e.project(i)[1]}},e.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},kX.setConvert(e.mockAxis,r)};$g.saveViewInitial=function(e){var t=e.center||{},r=e.projection,n=r.rotation||{};this.viewInitial={fitbounds:e.fitbounds,\"projection.scale\":r.scale};var i;e._isScoped?i={\"center.lon\":t.lon,\"center.lat\":t.lat}:e._isClipped?i={\"projection.rotation.lon\":n.lon,\"projection.rotation.lat\":n.lat}:i={\"center.lon\":t.lon,\"center.lat\":t.lat,\"projection.rotation.lon\":n.lon},QE.extendFlat(this.viewInitial,i)};$g.render=function(e){this._hasMarkerAngles&&e?this.plot(this._geoCalcData,this._fullLayout,[],!0):this._render()};$g._render=function(){var e=this.projection,t=e.getPath(),r;function n(a){var o=e(a.lonlat);return o?ODt(o[0],o[1]):null}function i(a){return e.isLonLatOverEdges(a.lonlat)?\"none\":null}for(r in this.basePaths)this.basePaths[r].attr(\"d\",t);for(r in this.dataPaths)this.dataPaths[r].attr(\"d\",function(a){return t(a.geojson)});for(r in this.dataPoints)this.dataPoints[r].attr(\"display\",i).attr(\"transform\",n)};function WDt(e){var t=e.projection,r=t.type,n=fp.projNames[r];n=\"geo\"+QE.titleCase(n);for(var i=CX[n]||FDt[n],a=i(),o=e._isSatellite?Math.acos(1/t.distance)*180/Math.PI:e._isClipped?fp.lonaxisSpan[r]/2:null,s=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],l=function(f){return f?a:[]},u=0;uv}else return!1},a.getPath=function(){return DDt().projection(a)},a.getBounds=function(f){return a.getPath().bounds(f)},a.precision(fp.precision),e._isSatellite&&a.tilt(t.tilt).distance(t.distance),o&&a.clipAngle(o-fp.clipPad),a}function ZDt(e,t,r){var n=1e-6,i=2.5,a=t[e],o=fp.scopeDefaults[t.scope],s,l,u;e===\"lonaxis\"?(s=o.lonaxisRange,l=o.lataxisRange,u=function(E,k){return[E,k]}):e===\"lataxis\"&&(s=o.lataxisRange,l=o.lonaxisRange,u=function(E,k){return[k,E]});var c={type:\"linear\",range:[s[0],s[1]-n],tick0:a.tick0,dtick:a.dtick};kX.setConvert(c,r);var f=kX.calcTicks(c);!t.isScoped&&e===\"lonaxis\"&&f.pop();for(var h=f.length,d=new Array(h),v=0;v0&&i<0&&(i+=360);var s=(i-n)/4;return{type:\"Polygon\",coordinates:[[[n,a],[n,o],[n+s,o],[n+2*s,o],[n+3*s,o],[i,o],[i,a],[i-s,a],[i-2*s,a],[i-3*s,a],[n,a]]]}}});var LX=ye((Cpr,zRe)=>{\"use strict\";var K5=dh(),XDt=Ju().attributes,YDt=Ed().dash,Y5=XE(),KDt=Bu().overrideAll,RRe=X1(),DRe={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:K5.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1},griddash:YDt},JDt=zRe.exports=KDt({domain:XDt({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:RRe(Y5.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:RRe(Y5.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},tilt:{valType:\"number\",dflt:0},distance:{valType:\"number\",min:1.001,dflt:2},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:K5.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:Y5.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:Y5.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:Y5.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:Y5.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:K5.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:K5.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:K5.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:K5.background},lonaxis:DRe,lataxis:DRe},\"plot\",\"from-root\");JDt.uirevision={valType:\"any\",editType:\"none\"}});var ORe=ye((Lpr,qRe)=>{\"use strict\";var Ez=Mr(),$Dt=k_(),QDt=kd().getSubplotData,kz=XE(),ezt=LX(),FRe=kz.axesNames;qRe.exports=function(t,r,n){$Dt(t,r,n,{type:\"geo\",attributes:ezt,handleDefaults:tzt,fullData:n,partition:\"y\"})};function tzt(e,t,r,n){var i=QDt(n.fullData,\"geo\",n.id),a=i.map(function(ae){return ae.index}),o=r(\"resolution\"),s=r(\"scope\"),l=kz.scopeDefaults[s],u=r(\"projection.type\",l.projType),c=t._isAlbersUsa=u===\"albers usa\";c&&(s=t.scope=\"usa\");var f=t._isScoped=s!==\"world\",h=t._isSatellite=u===\"satellite\",d=t._isConic=u.indexOf(\"conic\")!==-1||u===\"albers\",v=t._isClipped=!!kz.lonaxisSpan[u];if(e.visible===!1){var x=Ez.extendDeep({},t._template);x.showcoastlines=!1,x.showcountries=!1,x.showframe=!1,x.showlakes=!1,x.showland=!1,x.showocean=!1,x.showrivers=!1,x.showsubunits=!1,x.lonaxis&&(x.lonaxis.showgrid=!1),x.lataxis&&(x.lataxis.showgrid=!1),t._template=x}for(var b=r(\"visible\"),g,E=0;E0&&q<0&&(q+=360);var V=(F+q)/2,H;if(!c){var X=f?l.projRotate:[V,0,0];H=r(\"projection.rotation.lon\",X[0]),r(\"projection.rotation.lat\",X[1]),r(\"projection.rotation.roll\",X[2]),g=r(\"showcoastlines\",!f&&b),g&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),g=r(\"showocean\",b?void 0:!1),g&&r(\"oceancolor\")}var G,N;if(c?(G=-96.6,N=38.7):(G=f?V:H,N=(T[0]+T[1])/2),r(\"center.lon\",G),r(\"center.lat\",N),h&&(r(\"projection.tilt\"),r(\"projection.distance\")),d){var W=l.projParallels||[0,60];r(\"projection.parallels\",W)}r(\"projection.scale\"),g=r(\"showland\",b?void 0:!1),g&&r(\"landcolor\"),g=r(\"showlakes\",b?void 0:!1),g&&r(\"lakecolor\"),g=r(\"showrivers\",b?void 0:!1),g&&(r(\"rivercolor\"),r(\"riverwidth\")),g=r(\"showcountries\",f&&s!==\"usa\"&&b),g&&(r(\"countrycolor\"),r(\"countrywidth\")),(s===\"usa\"||s===\"north america\"&&o===50)&&(r(\"showsubunits\",b),r(\"subunitcolor\"),r(\"subunitwidth\")),f||(g=r(\"showframe\",b),g&&(r(\"framecolor\"),r(\"framewidth\"))),r(\"bgcolor\");var re=r(\"fitbounds\");re&&(delete t.projection.scale,f?(delete t.center.lon,delete t.center.lat):v?(delete t.center.lon,delete t.center.lat,delete t.projection.rotation.lon,delete t.projection.rotation.lat,delete t.lonaxis.range,delete t.lataxis.range):(delete t.center.lon,delete t.center.lat,delete t.projection.rotation.lon))}});var PX=ye((Ppr,URe)=>{\"use strict\";var rzt=kd().getSubplotCalcData,izt=Mr().counterRegex,nzt=IRe(),Wm=\"geo\",BRe=izt(Wm),NRe={};NRe[Wm]={valType:\"subplotid\",dflt:Wm,editType:\"calc\"};function azt(e){for(var t=e._fullLayout,r=e.calcdata,n=t._subplots[Wm],i=0;i{\"use strict\";VRe.exports={attributes:H2(),supplyDefaults:T8e(),colorbar:Kd(),formatLabels:M8e(),calc:lz(),calcGeoJSON:_X().calcGeoJSON,plot:_X().plot,style:pX(),styleOnSelect:op().styleOnSelect,hoverPoints:fRe(),eventData:dRe(),selectPoints:gRe(),moduleType:\"trace\",name:\"scattergeo\",basePlotModule:PX(),categories:[\"geo\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var jRe=ye((Rpr,GRe)=>{\"use 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lzt=Wo().hovertemplateAttrs,ax=H2(),uzt=Kl(),WRe=vl(),czt=dh().defaultLine,nx=no().extendFlat,ZRe=ax.marker.line;XRe.exports=nx({locations:{valType:\"data_array\",editType:\"calc\"},locationmode:ax.locationmode,z:{valType:\"data_array\",editType:\"calc\"},geojson:nx({},ax.geojson,{}),featureidkey:ax.featureidkey,text:nx({},ax.text,{}),hovertext:nx({},ax.hovertext,{}),marker:{line:{color:nx({},ZRe.color,{dflt:czt}),width:nx({},ZRe.width,{dflt:1}),editType:\"calc\"},opacity:{valType:\"number\",arrayOk:!0,min:0,max:1,dflt:1,editType:\"style\"},editType:\"calc\"},selected:{marker:{opacity:ax.selected.marker.opacity,editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:ax.unselected.marker.opacity,editType:\"plot\"},editType:\"plot\"},hoverinfo:nx({},WRe.hoverinfo,{editType:\"calc\",flags:[\"location\",\"z\",\"text\",\"name\"]}),hovertemplate:lzt(),showlegend:nx({},WRe.showlegend,{dflt:!1})},uzt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var KRe=ye((zpr,YRe)=>{\"use 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translateFract\n", + " + position * scaleFract\n", + " + positionFract * scaleFract;\n", + "}\n", + "\n", + "void main() {\n", + "\tfloat lineStart = 1. - lineEnd;\n", + "\tfloat lineOffset = lineTop * 2. - 1.;\n", + "\n", + "\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n", + "\ttangent = normalize(diff * scale * viewport.zw);\n", + "\tvec2 normal = vec2(-tangent.y, tangent.x);\n", + "\n", + "\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n", + "\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n", + "\n", + "\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n", + "\n", + "\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n", + "\n", + "\tfragColor = color / 255.;\n", + "}\n", + "`,mOt=`\n", + "precision highp float;\n", + "\n", + "uniform float dashLength, pixelRatio, thickness, opacity, id;\n", + "uniform sampler2D dashTexture;\n", + "\n", + "varying vec4 fragColor;\n", + "varying vec2 tangent;\n", + "\n", + "void main() {\n", + "\tfloat alpha = 1.;\n", + "\n", + "\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n", + "\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n", + "\n", + "\tgl_FragColor = fragColor;\n", + "\tgl_FragColor.a *= alpha * opacity * dash;\n", + "}\n", + "`,yOt=`\n", + "precision highp float;\n", + "\n", + "attribute vec2 position, positionFract;\n", + "\n", + "uniform vec4 color;\n", + "uniform vec2 scale, scaleFract, translate, translateFract;\n", + "uniform float pixelRatio, id;\n", + "uniform vec4 viewport;\n", + "uniform float opacity;\n", + "\n", + "varying vec4 fragColor;\n", + "\n", + "const float MAX_LINES = 256.;\n", + "\n", + "void main() {\n", + "\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n", + "\n", + "\tvec2 position = position * scale + translate\n", + " + positionFract * scale + translateFract\n", + " + position * scaleFract\n", + " + positionFract * scaleFract;\n", + "\n", + "\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n", + "\n", + "\tfragColor = color / 255.;\n", + "\tfragColor.a *= opacity;\n", + "}\n", + "`,_Ot=`\n", + "precision highp float;\n", + "varying vec4 fragColor;\n", + "\n", + "void main() {\n", + "\tgl_FragColor = fragColor;\n", + "}\n", + "`,xOt=`\n", + "precision highp float;\n", + "\n", + "attribute vec2 aCoord, bCoord, nextCoord, prevCoord;\n", + "attribute vec4 aColor, bColor;\n", + "attribute float lineEnd, lineTop;\n", + "\n", + "uniform vec2 scale, translate;\n", + "uniform float thickness, pixelRatio, id, depth;\n", + "uniform vec4 viewport;\n", + "uniform float miterLimit, miterMode;\n", + "\n", + "varying vec4 fragColor;\n", + "varying vec4 startCutoff, endCutoff;\n", + "varying vec2 tangent;\n", + "varying vec2 startCoord, endCoord;\n", + "varying float enableStartMiter, enableEndMiter;\n", + "\n", + "const float REVERSE_THRESHOLD = -.875;\n", + "const float MIN_DIFF = 1e-6;\n", + "\n", + "// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n", + "// TODO: precalculate dot products, normalize things beforehead etc.\n", + "// TODO: refactor to rectangular algorithm\n", + "\n", + "float distToLine(vec2 p, vec2 a, vec2 b) {\n", + "\tvec2 diff = b - a;\n", + "\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n", + "\treturn dot(p - a, perp);\n", + "}\n", + "\n", + "bool isNaN( float val ){\n", + " return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n", + "}\n", + "\n", + "void main() {\n", + "\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n", + "\n", + " vec2 adjustedScale;\n", + " adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n", + " adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n", + "\n", + " vec2 scaleRatio = adjustedScale * viewport.zw;\n", + "\tvec2 normalWidth = thickness / scaleRatio;\n", + "\n", + "\tfloat lineStart = 1. - lineEnd;\n", + "\tfloat lineBot = 1. - lineTop;\n", + "\n", + "\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n", + "\n", + "\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n", + "\n", + "\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n", + "\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n", + "\n", + "\n", + "\tvec2 prevDiff = aCoord - prevCoord;\n", + "\tvec2 currDiff = bCoord - aCoord;\n", + "\tvec2 nextDiff = nextCoord - bCoord;\n", + "\n", + "\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n", + "\tvec2 currTangent = normalize(currDiff * scaleRatio);\n", + "\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n", + "\n", + "\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n", + "\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n", + "\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n", + "\n", + "\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n", + "\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n", + "\n", + "\t// collapsed/unidirectional segment cases\n", + "\t// FIXME: there should be more elegant solution\n", + "\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n", + "\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n", + "\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n", + "\t\tstartJoinDirection = currNormal;\n", + "\t}\n", + "\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n", + "\t\tendJoinDirection = currNormal;\n", + "\t}\n", + "\tif (aCoord == bCoord) {\n", + "\t\tendJoinDirection = startJoinDirection;\n", + "\t\tcurrNormal = prevNormal;\n", + "\t\tcurrTangent = prevTangent;\n", + "\t}\n", + "\n", + "\ttangent = currTangent;\n", + "\n", + "\t//calculate join shifts relative to normals\n", + "\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n", + "\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n", + "\n", + "\tfloat startMiterRatio = abs(1. / startJoinShift);\n", + "\tfloat endMiterRatio = abs(1. / endJoinShift);\n", + "\n", + "\tvec2 startJoin = startJoinDirection * startMiterRatio;\n", + "\tvec2 endJoin = endJoinDirection * endMiterRatio;\n", + "\n", + "\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n", + "\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n", + "\tstartBotJoin = -startTopJoin;\n", + "\n", + "\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n", + "\tendBotJoin = -endTopJoin;\n", + "\n", + "\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n", + "\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n", + "\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n", + "\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n", + "\n", + "\t//miter anti-clipping\n", + "\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n", + "\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n", + "\n", + "\t//prevent close to reverse direction switch\n", + "\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) < length(normalWidth * currNormal);\n", + "\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) < length(normalWidth * currNormal);\n", + "\n", + "\tif (prevReverse) {\n", + "\t\t//make join rectangular\n", + "\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n", + "\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n", + "\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n", + "\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n", + "\t}\n", + "\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n", + "\t\t//handle miter clipping\n", + "\t\tbTopCoord -= normalWidth * endTopJoin;\n", + "\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n", + "\t}\n", + "\n", + "\tif (nextReverse) {\n", + "\t\t//make join rectangular\n", + "\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n", + "\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n", + "\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n", + "\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n", + "\t}\n", + "\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n", + "\t\t//handle miter clipping\n", + "\t\taBotCoord -= normalWidth * startBotJoin;\n", + "\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n", + "\t}\n", + "\n", + "\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n", + "\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n", + "\n", + "\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n", + "\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n", + "\n", + "\t//position is normalized 0..1 coord on the screen\n", + "\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n", + "\n", + "\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n", + "\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n", + "\n", + "\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n", + "\n", + "\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n", + "\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n", + "\n", + "\t//bevel miter cutoffs\n", + "\tif (miterMode == 1.) {\n", + "\t\tif (enableStartMiter == 1.) {\n", + "\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n", + "\t\t\tstartCutoff = vec4(aCoord, aCoord);\n", + "\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n", + "\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n", + "\t\t\tstartCutoff += viewport.xyxy;\n", + "\t\t\tstartCutoff += startMiterWidth.xyxy;\n", + "\t\t}\n", + "\n", + "\t\tif (enableEndMiter == 1.) {\n", + "\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n", + "\t\t\tendCutoff = vec4(bCoord, bCoord);\n", + "\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\n", + "\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n", + "\t\t\tendCutoff += viewport.xyxy;\n", + "\t\t\tendCutoff += endMiterWidth.xyxy;\n", + "\t\t}\n", + "\t}\n", + "\n", + "\t//round miter cutoffs\n", + "\telse if (miterMode == 2.) {\n", + "\t\tif (enableStartMiter == 1.) {\n", + "\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n", + "\t\t\tstartCutoff = vec4(aCoord, aCoord);\n", + "\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n", + "\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n", + "\t\t\tstartCutoff += viewport.xyxy;\n", + "\t\t\tstartCutoff += startMiterWidth.xyxy;\n", + "\t\t}\n", + "\n", + "\t\tif (enableEndMiter == 1.) {\n", + "\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n", + "\t\t\tendCutoff = vec4(bCoord, bCoord);\n", + "\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\n", + "\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n", + "\t\t\tendCutoff += viewport.xyxy;\n", + "\t\t\tendCutoff += endMiterWidth.xyxy;\n", + "\t\t}\n", + "\t}\n", + "}\n", + "`,bOt=`\n", + "precision highp float;\n", + "\n", + "uniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\n", + "uniform sampler2D dashTexture;\n", + "\n", + "varying vec4 fragColor;\n", + "varying vec2 tangent;\n", + "varying vec4 startCutoff, endCutoff;\n", + "varying vec2 startCoord, endCoord;\n", + "varying float enableStartMiter, enableEndMiter;\n", + "\n", + "float distToLine(vec2 p, vec2 a, vec2 b) {\n", + "\tvec2 diff = b - a;\n", + "\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n", + "\treturn dot(p - a, perp);\n", + "}\n", + "\n", + "void main() {\n", + "\tfloat alpha = 1., distToStart, distToEnd;\n", + "\tfloat cutoff = thickness * .5;\n", + "\n", + "\t//bevel miter\n", + "\tif (miterMode == 1.) {\n", + "\t\tif (enableStartMiter == 1.) {\n", + "\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n", + "\t\t\tif (distToStart < -1.) {\n", + "\t\t\t\tdiscard;\n", + "\t\t\t\treturn;\n", + "\t\t\t}\n", + "\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n", + "\t\t}\n", + "\n", + "\t\tif (enableEndMiter == 1.) {\n", + "\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n", + "\t\t\tif (distToEnd < -1.) {\n", + "\t\t\t\tdiscard;\n", + "\t\t\t\treturn;\n", + "\t\t\t}\n", + "\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n", + "\t\t}\n", + "\t}\n", + "\n", + "\t// round miter\n", + "\telse if (miterMode == 2.) {\n", + "\t\tif (enableStartMiter == 1.) {\n", + "\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n", + "\t\t\tif (distToStart < 0.) {\n", + "\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n", + "\n", + "\t\t\t\tif(radius > cutoff + .5) {\n", + "\t\t\t\t\tdiscard;\n", + "\t\t\t\t\treturn;\n", + "\t\t\t\t}\n", + "\n", + "\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n", + "\t\t\t}\n", + "\t\t}\n", + "\n", + "\t\tif (enableEndMiter == 1.) {\n", + "\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n", + "\t\t\tif (distToEnd < 0.) {\n", + "\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n", + "\n", + "\t\t\t\tif(radius > cutoff + .5) {\n", + "\t\t\t\t\tdiscard;\n", + "\t\t\t\t\treturn;\n", + "\t\t\t\t}\n", + "\n", + "\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n", + "\t\t\t}\n", + "\t\t}\n", + "\t}\n", + "\n", + "\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n", + "\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n", + "\n", + "\tgl_FragColor = fragColor;\n", + "\tgl_FragColor.a *= alpha * opacity * dash;\n", + "}\n", + "`;rqe.exports=uc;function uc(e,t){if(!(this instanceof uc))return new uc(e,t);if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=e._gl,this.regl=e,this.passes=[],this.shaders=uc.shaders.has(e)?uc.shaders.get(e):uc.shaders.set(e,uc.createShaders(e)).get(e),this.update(t)}uc.dashMult=2;uc.maxPatternLength=256;uc.precisionThreshold=3e6;uc.maxPoints=1e4;uc.maxLines=2048;uc.shaders=new vOt;uc.createShaders=function(e){let t=e.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),r={primitive:\"triangle strip\",instances:e.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:(o,s)=>s.join===\"round\"?2:1,miterLimit:e.prop(\"miterLimit\"),scale:e.prop(\"scale\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),thickness:e.prop(\"thickness\"),dashTexture:e.prop(\"dashTexture\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),dashLength:e.prop(\"dashLength\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight],depth:e.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:(o,s)=>!s.overlay},stencil:{enable:!1},scissor:{enable:!0,box:e.prop(\"viewport\")},viewport:e.prop(\"viewport\")},n=e(CY({vert:gOt,frag:mOt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},r)),i;try{i=e(CY({cull:{enable:!0,face:\"back\"},vert:xOt,frag:bOt,attributes:{lineEnd:{buffer:t,divisor:0,stride:8,offset:0},lineTop:{buffer:t,divisor:0,stride:8,offset:4},aColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:e.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},r))}catch(o){i=n}return{fill:e({primitive:\"triangle\",elements:(o,s)=>s.triangles,offset:0,vert:yOt,frag:_Ot,uniforms:{scale:e.prop(\"scale\"),color:e.prop(\"fill\"),scaleFract:e.prop(\"scaleFract\"),translateFract:e.prop(\"translateFract\"),translate:e.prop(\"translate\"),opacity:e.prop(\"opacity\"),pixelRatio:e.context(\"pixelRatio\"),id:e.prop(\"id\"),viewport:(o,s)=>[s.viewport.x,s.viewport.y,o.viewportWidth,o.viewportHeight]},attributes:{position:{buffer:e.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:e.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:r.blend,depth:{enable:!1},scissor:r.scissor,stencil:r.stencil,viewport:r.viewport}),rect:n,miter:i}};uc.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null};uc.prototype.render=function(...e){e.length&&this.update(...e),this.draw()};uc.prototype.draw=function(...e){return(e.length?e:this.passes).forEach((t,r)=>{if(t&&Array.isArray(t))return this.draw(...t);typeof t==\"number\"&&(t=this.passes[t]),t&&t.count>1&&t.opacity&&(this.regl._refresh(),t.fill&&t.triangles&&t.triangles.length>2&&this.shaders.fill(t),t.thickness&&(t.scale[0]*t.viewport.width>uc.precisionThreshold||t.scale[1]*t.viewport.height>uc.precisionThreshold?this.shaders.rect(t):t.join===\"rect\"||!t.join&&(t.thickness<=2||t.count>=uc.maxPoints)?this.shaders.rect(t):this.shaders.miter(t)))}),this};uc.prototype.update=function(e){if(!e)return;e.length!=null?typeof e[0]==\"number\"&&(e=[{positions:e}]):Array.isArray(e)||(e=[e]);let{regl:t,gl:r}=this;if(e.forEach((i,a)=>{let o=this.passes[a];if(i!==void 0){if(i===null){this.passes[a]=null;return}if(typeof i[0]==\"number\"&&(i={positions:i}),i=cOt(i,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\",splitNull:\"splitNull\"}),o||(this.passes[a]=o={id:a,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:t.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:t.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},i=CY({},uc.defaults,i)),i.thickness!=null&&(o.thickness=parseFloat(i.thickness)),i.opacity!=null&&(o.opacity=parseFloat(i.opacity)),i.miterLimit!=null&&(o.miterLimit=parseFloat(i.miterLimit)),i.overlay!=null&&(o.overlay=!!i.overlay,aL-_),E=[],k=0,A=o.hole!=null?o.hole[0]:null;if(A!=null){let L=pOt(g,_=>_>=A);g=g.slice(0,L),g.push(A)}for(let L=0;Lp-A+(g[L]-k)),M=eqe(_,C);M=M.map(p=>p+k+(p+k{e.colorBuffer.destroy(),e.positionBuffer.destroy(),e.dashTexture.destroy()}),this.passes.length=0,this}});var sqe=ye((Ygr,oqe)=>{\"use strict\";var wOt=j2(),TOt=J_(),AOt=JX(),SOt=Zm(),iqe=bh(),nqe=W2(),{float32:MOt,fract32:PY}=Xz();oqe.exports=EOt;var aqe=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]];function EOt(e,t){if(typeof e==\"function\"?(t||(t={}),t.regl=e):t=e,t.length&&(t.positions=t),e=t.regl,!e.hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");let r=e._gl,n,i,a,o,s,l,u={color:\"black\",capSize:5,lineWidth:1,opacity:1,viewport:null,range:null,offset:0,count:0,bounds:null,positions:[],errors:[]},c=[];return o=e.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array(0)}),i=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),a=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),s=e.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)}),l=e.buffer({usage:\"static\",type:\"float\",data:aqe}),v(t),n=e({vert:`\n", + "\t\tprecision highp float;\n", + "\n", + "\t\tattribute vec2 position, positionFract;\n", + "\t\tattribute vec4 error;\n", + "\t\tattribute vec4 color;\n", + "\n", + "\t\tattribute vec2 direction, lineOffset, capOffset;\n", + "\n", + "\t\tuniform vec4 viewport;\n", + "\t\tuniform float lineWidth, capSize;\n", + "\t\tuniform vec2 scale, scaleFract, translate, translateFract;\n", + "\n", + "\t\tvarying vec4 fragColor;\n", + "\n", + "\t\tvoid main() {\n", + "\t\t\tfragColor = color / 255.;\n", + "\n", + "\t\t\tvec2 pixelOffset = lineWidth * lineOffset + (capSize + lineWidth) * capOffset;\n", + "\n", + "\t\t\tvec2 dxy = -step(.5, 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for(cr=0;cr<6;++cr)Jo(vt[cr],dr);for(vn(Jt,vt[0]),Gr.genMipmaps?Jt.mipmask=(vt[0].width<<1)-1:Jt.mipmask=vt[0].mipmask,Jt.internalformat=vt[0].internalformat,Pt.width=vt[0].width,Pt.height=vt[0].height,_f(Jt),cr=0;cr<6;++cr)Xl(vt[cr],Fn+cr);for(wc(Gr,ua),ns(),Bi.profile&&(Jt.stats.size=Wc(Jt.internalformat,Jt.type,Pt.width,Pt.height,Gr.genMipmaps,!0)),Pt.format=Ln[Jt.internalformat],Pt.type=Un[Jt.type],Pt.mag=gn[Gr.magFilter],Pt.min=ca[Gr.minFilter],Pt.wrapS=Kn[Gr.wrapS],Pt.wrapT=Kn[Gr.wrapT],cr=0;cr<6;++cr)Qc(vt[cr]);return Pt}function Wt(dr,pr,kr,Ar,gr){var Cr=kr|0,cr=Ar|0,Gr=gr|0,ei=Jn();return vn(ei,Jt),ei.width=0,ei.height=0,Vn(ei,pr),ei.width=ei.width||(Jt.width>>Gr)-Cr,ei.height=ei.height||(Jt.height>>Gr)-cr,_f(Jt),ro(ei,Fn+dr,Cr,cr,Gr),ns(),Oa(ei),Pt}function rr(dr){var pr=dr|0;if(pr!==Jt.width){Pt.width=Jt.width=pr,Pt.height=Jt.height=pr,_f(Jt);for(var kr=0;kr<6;++kr)for(var Ar=0;Jt.mipmask>>Ar;++Ar)At.texImage2D(Fn+kr,Ar,Jt.format,pr>>Ar,pr>>Ar,0,Jt.format,Jt.type,null);return ns(),Bi.profile&&(Jt.stats.size=Wc(Jt.internalformat,Jt.type,Pt.width,Pt.height,!1,!0)),Pt}}return Pt(de,Ie,$e,pt,Kt,ir),Pt.subimage=Wt,Pt.resize=rr,Pt._reglType=\"textureCube\",Pt._texture=Jt,Bi.profile&&(Pt.stats=Jt.stats),Pt.destroy=function(){Jt.decRef()},Pt}function O(){for(var de=0;de>pt,$e.height>>pt,0,$e.internalformat,$e.type,null);else for(var Kt=0;Kt<6;++Kt)At.texImage2D(Fn+Kt,pt,$e.internalformat,$e.width>>pt,$e.height>>pt,0,$e.internalformat,$e.type,null);wc($e.texInfo,$e.target)})}function pe(){for(var de=0;de=0?Qc=!0:On.indexOf(El)>=0&&(Qc=!1))),(\"depthTexture\"in ls||\"depthStencilTexture\"in ls)&&(ef=!!(ls.depthTexture||ls.depthStencilTexture)),\"depth\"in ls&&(typeof ls.depth==\"boolean\"?Xl=ls.depth:(yf=ls.depth,$c=!1)),\"stencil\"in ls&&(typeof ls.stencil==\"boolean\"?$c=ls.stencil:(Hl=ls.stencil,Xl=!1)),\"depthStencil\"in ls&&(typeof ls.depthStencil==\"boolean\"?Xl=$c=ls.depthStencil:(Fc=ls.depthStencil,Xl=!1,$c=!1))}var ns=null,Y=null,z=null,K=null;if(Array.isArray(xs))ns=xs.map(fn);else if(xs)ns=[fn(xs)];else for(ns=new Array(wc),_o=0;_o0&&(Oa.depth=Vn[0].depth,Oa.stencil=Vn[0].stencil,Oa.depthStencil=Vn[0].depthStencil),Vn[Jn]?Vn[Jn](Oa):Vn[Jn]=vn(Oa)}return e(ma,{width:_o,height:_o,color:El})}function ro(Ao){var Jn,Oa=Ao|0;if(Oa===ma.width)return ma;var _o=ma.color;for(Jn=0;Jn<_o.length;++Jn)_o[Jn].resize(Oa);for(Jn=0;Jn<6;++Jn)Vn[Jn].resize(Oa);return ma.width=ma.height=Oa,ma}return ma(Xn),e(ma,{faces:Vn,resize:ro,_reglType:\"framebufferCube\",destroy:function(){Vn.forEach(function(Ao){Ao.destroy()})}})}function aa(){Bi.cur=null,Bi.next=null,Bi.dirty=!0,ut(gn).forEach(function(Xn){Xn.framebuffer=At.createFramebuffer(),wn(Xn)})}return e(Bi,{getFramebuffer:function(Xn){if(typeof Xn==\"function\"&&Xn._reglType===\"framebuffer\"){var Vn=Xn._framebuffer;if(Vn instanceof ca)return Vn}return null},create:vn,createCube:Aa,clear:function(){ut(gn).forEach(Za)},restore:aa})}var md=5126,sh=34962,Fs=34963;function _u(){this.state=0,this.x=0,this.y=0,this.z=0,this.w=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=md,this.offset=0,this.stride=0,this.divisor=0}function xu(At,Er,Wr,wi,Ui,Oi,Bi){for(var cn=Wr.maxAttributes,On=new Array(cn),Bn=0;Bn=_o.byteLength?Po.subdata(_o):(Po.destroy(),vn.buffers[Ao]=null)),vn.buffers[Ao]||(Po=vn.buffers[Ao]=Ui.create(Jn,sh,!1,!0)),Oa.buffer=Ui.getBuffer(Po),Oa.size=Oa.buffer.dimension|0,Oa.normalized=!1,Oa.type=Oa.buffer.dtype,Oa.offset=0,Oa.stride=0,Oa.divisor=0,Oa.state=1,ma[Ao]=1}else Ui.getBuffer(Jn)?(Oa.buffer=Ui.getBuffer(Jn),Oa.size=Oa.buffer.dimension|0,Oa.normalized=!1,Oa.type=Oa.buffer.dtype,Oa.offset=0,Oa.stride=0,Oa.divisor=0,Oa.state=1):Ui.getBuffer(Jn.buffer)?(Oa.buffer=Ui.getBuffer(Jn.buffer),Oa.size=(+Jn.size||Oa.buffer.dimension)|0,Oa.normalized=!!Jn.normalized||!1,\"type\"in Jn?Oa.type=bi[Jn.type]:Oa.type=Oa.buffer.dtype,Oa.offset=(Jn.offset||0)|0,Oa.stride=(Jn.stride||0)|0,Oa.divisor=(Jn.divisor||0)|0,Oa.state=1):\"x\"in Jn&&(Oa.x=+Jn.x||0,Oa.y=+Jn.y||0,Oa.z=+Jn.z||0,Oa.w=+Jn.w||0,Oa.state=2)}for(var Jo=0;Jo1)for(var aa=0;aaAi&&(Ai=ji.stats.uniformsCount)}),Ai},Wr.getMaxAttributesCount=function(){var Ai=0;return yn.forEach(function(ji){ji.stats.attributesCount>Ai&&(Ai=ji.stats.attributesCount)}),Ai});function fn(){Ui={},Oi={};for(var Ai=0;Ai16&&(Wr=Ti(Wr,At.length*8));for(var wi=Array(16),Ui=Array(16),Oi=0;Oi<16;Oi++)wi[Oi]=Wr[Oi]^909522486,Ui[Oi]=Wr[Oi]^1549556828;var Bi=Ti(wi.concat(gf(Er)),512+Er.length*8);return gt(Ti(Ui.concat(Bi),768))}function ru(At){for(var Er=Ih?\"0123456789ABCDEF\":\"0123456789abcdef\",Wr=\"\",wi,Ui=0;Ui>>4&15)+Er.charAt(wi&15);return Wr}function mc(At){for(var Er=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/\",Wr=\"\",wi=At.length,Ui=0;UiAt.length*8?Wr+=Wu:Wr+=Er.charAt(Oi>>>6*(3-Bi)&63);return Wr}function Yc(At,Er){var Wr=Er.length,wi=Array(),Ui,Oi,Bi,cn,On=Array(Math.ceil(At.length/2));for(Ui=0;Ui0;){for(cn=Array(),Bi=0,Ui=0;Ui0||Oi>0)&&(cn[cn.length]=Oi);wi[wi.length]=Bi,On=cn}var Bn=\"\";for(Ui=wi.length-1;Ui>=0;Ui--)Bn+=Er.charAt(wi[Ui]);var yn=Math.ceil(At.length*8/(Math.log(Er.length)/Math.log(2)));for(Ui=Bn.length;Ui>>6&31,128|wi&63):wi<=65535?Er+=String.fromCharCode(224|wi>>>12&15,128|wi>>>6&63,128|wi&63):wi<=2097151&&(Er+=String.fromCharCode(240|wi>>>18&7,128|wi>>>12&63,128|wi>>>6&63,128|wi&63));return Er}function gf(At){for(var Er=Array(At.length>>2),Wr=0;Wr>5]|=(At.charCodeAt(Wr/8)&255)<<24-Wr%32;return Er}function gt(At){for(var Er=\"\",Wr=0;Wr>5]>>>24-Wr%32&255);return Er}function Bt(At,Er){return At>>>Er|At<<32-Er}function wr(At,Er){return At>>>Er}function vr(At,Er,Wr){return At&Er^~At&Wr}function Ur(At,Er,Wr){return At&Er^At&Wr^Er&Wr}function fi(At){return Bt(At,2)^Bt(At,13)^Bt(At,22)}function xi(At){return Bt(At,6)^Bt(At,11)^Bt(At,25)}function Fi(At){return Bt(At,7)^Bt(At,18)^wr(At,3)}function Xi(At){return Bt(At,17)^Bt(At,19)^wr(At,10)}var hn=new Array(1116352408,1899447441,-1245643825,-373957723,961987163,1508970993,-1841331548,-1424204075,-670586216,310598401,607225278,1426881987,1925078388,-2132889090,-1680079193,-1046744716,-459576895,-272742522,264347078,604807628,770255983,1249150122,1555081692,1996064986,-1740746414,-1473132947,-1341970488,-1084653625,-958395405,-710438585,113926993,338241895,666307205,773529912,1294757372,1396182291,1695183700,1986661051,-2117940946,-1838011259,-1564481375,-1474664885,-1035236496,-949202525,-778901479,-694614492,-200395387,275423344,430227734,506948616,659060556,883997877,958139571,1322822218,1537002063,1747873779,1955562222,2024104815,-2067236844,-1933114872,-1866530822,-1538233109,-1090935817,-965641998);function Ti(At,Er){var Wr=new Array(1779033703,-1150833019,1013904242,-1521486534,1359893119,-1694144372,528734635,1541459225),wi=new 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new Jr(Oi,Bi,cn,Er)}else return new Jr(Wr===mo,Wr===Ua,Wr===sn,Er)}}var Nn=new Jr(!1,!1,!1,function(){});function ga(At,Er,Wr,wi,Ui,Oi,Bi,cn,On,Bn,yn,to,Rn,Dn,fn,Ai){var ji=Bn.Record,Ln={add:32774,subtract:32778,\"reverse subtract\":32779};Wr.ext_blend_minmax&&(Ln.min=Ue,Ln.max=We);var Un=Wr.angle_instanced_arrays,gn=Wr.webgl_draw_buffers,ca=Wr.oes_vertex_array_object,Kn={dirty:!0,profile:Ai.profile},Za={},wn=[],vn={},Aa={};function aa(vt){return vt.replace(\".\",\"_\")}function Xn(vt,Pt,Wt){var rr=aa(vt);wn.push(vt),Za[rr]=Kn[rr]=!!Wt,vn[rr]=Pt}function Vn(vt,Pt,Wt){var rr=aa(vt);wn.push(vt),Array.isArray(Wt)?(Kn[rr]=Wt.slice(),Za[rr]=Wt.slice()):Kn[rr]=Za[rr]=Wt,Aa[rr]=Pt}function ma(vt){return!!isNaN(vt)}Xn(ys,di),Xn(Bo,Xr),Vn(yl,\"blendColor\",[0,0,0,0]),Vn(Gs,\"blendEquationSeparate\",[lr,lr]),Vn(Rs,\"blendFuncSeparate\",[or,zt,or,zt]),Xn(ia,Ci,!0),Vn(Ka,\"depthFunc\",Dr),Vn(vs,\"depthRange\",[0,1]),Vn(Ko,\"depthMask\",!0),Vn(iu,iu,[!0,!0,!0,!0]),Xn(Ru,zr),Vn(ac,\"cullFace\",oe),Vn(mf,mf,Be),Vn(bu,bu,1),Xn(Kc,Mn),Vn(Du,\"polygonOffset\",[0,0]),Xn(Dc,pa),Xn(Da,ea),Vn(eo,\"sampleCoverage\",[1,!1]),Xn(Jc,Li),Vn(yc,\"stencilMask\",-1),Vn(_c,\"stencilFunc\",[wt,0,-1]),Vn(le,\"stencilOpSeparate\",[Z,tt,tt,tt]),Vn(w,\"stencilOpSeparate\",[oe,tt,tt,tt]),Xn(B,Qi),Vn(Q,\"scissor\",[0,0,At.drawingBufferWidth,At.drawingBufferHeight]),Vn(ee,ee,[0,0,At.drawingBufferWidth,At.drawingBufferHeight]);var ro={gl:At,context:Rn,strings:Er,next:Za,current:Kn,draw:to,elements:Oi,buffer:Ui,shader:yn,attributes:Bn.state,vao:Bn,uniforms:On,framebuffer:cn,extensions:Wr,timer:Dn,isBufferArgs:vi},Ao={primTypes:Ki,compareFuncs:qr,blendFuncs:ui,blendEquations:Ln,stencilOps:Kr,glTypes:bi,orientationType:ii};gn&&(Ao.backBuffer=[oe],Ao.drawBuffer=M(wi.maxDrawbuffers,function(vt){return vt===0?[0]:M(vt,function(Pt){return oi+Pt})}));var Jn=0;function Oa(){var vt=Pn({cache:fn}),Pt=vt.link,Wt=vt.global;vt.id=Jn++,vt.batchId=\"0\";var rr=Pt(ro),dr=vt.shared={props:\"a0\"};Object.keys(ro).forEach(function(Cr){dr[Cr]=Wt.def(rr,\".\",Cr)});var pr=vt.next={},kr=vt.current={};Object.keys(Aa).forEach(function(Cr){Array.isArray(Kn[Cr])&&(pr[Cr]=Wt.def(dr.next,\".\",Cr),kr[Cr]=Wt.def(dr.current,\".\",Cr))});var Ar=vt.constants={};Object.keys(Ao).forEach(function(Cr){Ar[Cr]=Wt.def(JSON.stringify(Ao[Cr]))}),vt.invoke=function(Cr,cr){switch(cr.type){case Cn:var Gr=[\"this\",dr.context,dr.props,vt.batchId];return Cr.def(Pt(cr.data),\".call(\",Gr.slice(0,Math.max(cr.data.length+1,4)),\")\");case sn:return Cr.def(dr.props,cr.data);case Ua:return Cr.def(dr.context,cr.data);case mo:return Cr.def(\"this\",cr.data);case Xo:return cr.data.append(vt,Cr),cr.data.ref;case Ts:return cr.data.toString();case Qo:return cr.data.map(function(ei){return vt.invoke(Cr,ei)})}},vt.attribCache={};var gr={};return vt.scopeAttrib=function(Cr){var cr=Er.id(Cr);if(cr in gr)return gr[cr];var Gr=Bn.scope[cr];Gr||(Gr=Bn.scope[cr]=new ji);var ei=gr[cr]=Pt(Gr);return ei},vt}function _o(vt){var Pt=vt.static,Wt=vt.dynamic,rr;if(se in Pt){var dr=!!Pt[se];rr=dn(function(kr,Ar){return dr}),rr.enable=dr}else if(se in Wt){var pr=Wt[se];rr=En(pr,function(kr,Ar){return kr.invoke(Ar,pr)})}return rr}function Po(vt,Pt){var Wt=vt.static,rr=vt.dynamic;if(qe in Wt){var dr=Wt[qe];return dr?(dr=cn.getFramebuffer(dr),dn(function(kr,Ar){var gr=kr.link(dr),Cr=kr.shared;Ar.set(Cr.framebuffer,\".next\",gr);var cr=Cr.context;return Ar.set(cr,\".\"+Oe,gr+\".width\"),Ar.set(cr,\".\"+Je,gr+\".height\"),gr})):dn(function(kr,Ar){var gr=kr.shared;Ar.set(gr.framebuffer,\".next\",\"null\");var Cr=gr.context;return Ar.set(Cr,\".\"+Oe,Cr+\".\"+Dt),Ar.set(Cr,\".\"+Je,Cr+\".\"+Ut),\"null\"})}else if(qe in rr){var pr=rr[qe];return En(pr,function(kr,Ar){var gr=kr.invoke(Ar,pr),Cr=kr.shared,cr=Cr.framebuffer,Gr=Ar.def(cr,\".getFramebuffer(\",gr,\")\");Ar.set(cr,\".next\",Gr);var ei=Cr.context;return Ar.set(ei,\".\"+Oe,Gr+\"?\"+Gr+\".width:\"+ei+\".\"+Dt),Ar.set(ei,\".\"+Je,Gr+\"?\"+Gr+\".height:\"+ei+\".\"+Ut),Gr})}else return null}function Jo(vt,Pt,Wt){var rr=vt.static,dr=vt.dynamic;function pr(gr){if(gr in rr){var Cr=rr[gr],cr=!0,Gr=Cr.x|0,ei=Cr.y|0,yi,tn;return\"width\"in Cr?yi=Cr.width|0:cr=!1,\"height\"in Cr?tn=Cr.height|0:cr=!1,new Jr(!cr&&Pt&&Pt.thisDep,!cr&&Pt&&Pt.contextDep,!cr&&Pt&&Pt.propDep,function(Qn,qn){var rn=Qn.shared.context,bn=yi;\"width\"in Cr||(bn=qn.def(rn,\".\",Oe,\"-\",Gr));var mn=tn;return\"height\"in Cr||(mn=qn.def(rn,\".\",Je,\"-\",ei)),[Gr,ei,bn,mn]})}else if(gr in dr){var Ri=dr[gr],ln=En(Ri,function(Qn,qn){var rn=Qn.invoke(qn,Ri),bn=Qn.shared.context,mn=qn.def(rn,\".x|0\"),Gn=qn.def(rn,\".y|0\"),da=qn.def('\"width\" in ',rn,\"?\",rn,\".width|0:\",\"(\",bn,\".\",Oe,\"-\",mn,\")\"),No=qn.def('\"height\" in ',rn,\"?\",rn,\".height|0:\",\"(\",bn,\".\",Je,\"-\",Gn,\")\");return[mn,Gn,da,No]});return Pt&&(ln.thisDep=ln.thisDep||Pt.thisDep,ln.contextDep=ln.contextDep||Pt.contextDep,ln.propDep=ln.propDep||Pt.propDep),ln}else return Pt?new Jr(Pt.thisDep,Pt.contextDep,Pt.propDep,function(Qn,qn){var rn=Qn.shared.context;return[0,0,qn.def(rn,\".\",Oe),qn.def(rn,\".\",Je)]}):null}var kr=pr(ee);if(kr){var Ar=kr;kr=new Jr(kr.thisDep,kr.contextDep,kr.propDep,function(gr,Cr){var cr=Ar.append(gr,Cr),Gr=gr.shared.context;return Cr.set(Gr,\".\"+He,cr[2]),Cr.set(Gr,\".\"+et,cr[3]),cr})}return{viewport:kr,scissor_box:pr(Q)}}function Xl(vt,Pt){var Wt=vt.static,rr=typeof Wt[it]==\"string\"&&typeof Wt[je]==\"string\";if(rr){if(Object.keys(Pt.dynamic).length>0)return null;var dr=Pt.static,pr=Object.keys(dr);if(pr.length>0&&typeof dr[pr[0]]==\"number\"){for(var kr=[],Ar=0;Ar\"+mn+\"?\"+cr+\".constant[\"+mn+\"]:0;\"}).join(\"\"),\"}}else{\",\"if(\",yi,\"(\",cr,\".buffer)){\",Qn,\"=\",tn,\".createStream(\",mr,\",\",cr,\".buffer);\",\"}else{\",Qn,\"=\",tn,\".getBuffer(\",cr,\".buffer);\",\"}\",qn,'=\"type\" in ',cr,\"?\",ei.glTypes,\"[\",cr,\".type]:\",Qn,\".dtype;\",Ri.normalized,\"=!!\",cr,\".normalized;\");function rn(bn){Cr(Ri[bn],\"=\",cr,\".\",bn,\"|0;\")}return rn(\"size\"),rn(\"offset\"),rn(\"stride\"),rn(\"divisor\"),Cr(\"}}\"),Cr.exit(\"if(\",Ri.isStream,\"){\",tn,\".destroyStream(\",Qn,\");\",\"}\"),Ri}dr[pr]=En(kr,Ar)}),dr}function wc(vt){var Pt=vt.static,Wt=vt.dynamic,rr={};return Object.keys(Pt).forEach(function(dr){var pr=Pt[dr];rr[dr]=dn(function(kr,Ar){return typeof pr==\"number\"||typeof pr==\"boolean\"?\"\"+pr:kr.link(pr)})}),Object.keys(Wt).forEach(function(dr){var pr=Wt[dr];rr[dr]=En(pr,function(kr,Ar){return kr.invoke(Ar,pr)})}),rr}function yf(vt,Pt,Wt,rr,dr){var pr=vt.static,kr=vt.dynamic,Ar=Xl(vt,Pt),gr=Po(vt,dr),Cr=Jo(vt,gr,dr),cr=xs(vt,dr),Gr=Qc(vt,dr),ei=$c(vt,dr,Ar);function yi(rn){var bn=Cr[rn];bn&&(Gr[rn]=bn)}yi(ee),yi(aa(Q));var tn=Object.keys(Gr).length>0,Ri={framebuffer:gr,draw:cr,shader:ei,state:Gr,dirty:tn,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(Ri.profile=_o(vt,dr),Ri.uniforms=El(Wt,dr),Ri.drawVAO=Ri.scopeVAO=cr.vao,!Ri.drawVAO&&ei.program&&!Ar&&Wr.angle_instanced_arrays&&cr.static.elements){var ln=!0,Qn=ei.program.attributes.map(function(rn){var bn=Pt.static[rn];return ln=ln&&!!bn,bn});if(ln&&Qn.length>0){var qn=Bn.getVAO(Bn.createVAO({attributes:Qn,elements:cr.static.elements}));Ri.drawVAO=new Jr(null,null,null,function(rn,bn){return rn.link(qn)}),Ri.useVAO=!0}}return Ar?Ri.useVAO=!0:Ri.attributes=bc(Pt,dr),Ri.context=wc(rr,dr),Ri}function Hl(vt,Pt,Wt){var rr=vt.shared,dr=rr.context,pr=vt.scope();Object.keys(Wt).forEach(function(kr){Pt.save(dr,\".\"+kr);var Ar=Wt[kr],gr=Ar.append(vt,Pt);Array.isArray(gr)?pr(dr,\".\",kr,\"=[\",gr.join(),\"];\"):pr(dr,\".\",kr,\"=\",gr,\";\")}),Pt(pr)}function Fc(vt,Pt,Wt,rr){var dr=vt.shared,pr=dr.gl,kr=dr.framebuffer,Ar;gn&&(Ar=Pt.def(dr.extensions,\".webgl_draw_buffers\"));var gr=vt.constants,Cr=gr.drawBuffer,cr=gr.backBuffer,Gr;Wt?Gr=Wt.append(vt,Pt):Gr=Pt.def(kr,\".next\"),rr||Pt(\"if(\",Gr,\"!==\",kr,\".cur){\"),Pt(\"if(\",Gr,\"){\",pr,\".bindFramebuffer(\",Ir,\",\",Gr,\".framebuffer);\"),gn&&Pt(Ar,\".drawBuffersWEBGL(\",Cr,\"[\",Gr,\".colorAttachments.length]);\"),Pt(\"}else{\",pr,\".bindFramebuffer(\",Ir,\",null);\"),gn&&Pt(Ar,\".drawBuffersWEBGL(\",cr,\");\"),Pt(\"}\",kr,\".cur=\",Gr,\";\"),rr||Pt(\"}\")}function ef(vt,Pt,Wt){var rr=vt.shared,dr=rr.gl,pr=vt.current,kr=vt.next,Ar=rr.current,gr=rr.next,Cr=vt.cond(Ar,\".dirty\");wn.forEach(function(cr){var Gr=aa(cr);if(!(Gr in Wt.state)){var ei,yi;if(Gr in kr){ei=kr[Gr],yi=pr[Gr];var tn=M(Kn[Gr].length,function(ln){return Cr.def(ei,\"[\",ln,\"]\")});Cr(vt.cond(tn.map(function(ln,Qn){return ln+\"!==\"+yi+\"[\"+Qn+\"]\"}).join(\"||\")).then(dr,\".\",Aa[Gr],\"(\",tn,\");\",tn.map(function(ln,Qn){return yi+\"[\"+Qn+\"]=\"+ln}).join(\";\"),\";\"))}else{ei=Cr.def(gr,\".\",Gr);var Ri=vt.cond(ei,\"!==\",Ar,\".\",Gr);Cr(Ri),Gr in vn?Ri(vt.cond(ei).then(dr,\".enable(\",vn[Gr],\");\").else(dr,\".disable(\",vn[Gr],\");\"),Ar,\".\",Gr,\"=\",ei,\";\"):Ri(dr,\".\",Aa[Gr],\"(\",ei,\");\",Ar,\".\",Gr,\"=\",ei,\";\")}}}),Object.keys(Wt.state).length===0&&Cr(Ar,\".dirty=false;\"),Pt(Cr)}function ls(vt,Pt,Wt,rr){var dr=vt.shared,pr=vt.current,kr=dr.current,Ar=dr.gl,gr;ci(Object.keys(Wt)).forEach(function(Cr){var cr=Wt[Cr];if(!(rr&&!rr(cr))){var Gr=cr.append(vt,Pt);if(vn[Cr]){var 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Wt=vt.proc(\"draw\",1);_f(vt,Wt),Hl(vt,Wt,Pt.context),Fc(vt,Wt,Pt.framebuffer),ef(vt,Wt,Pt),ls(vt,Wt,Pt.state),ns(vt,Wt,Pt,!1,!0);var rr=Pt.shader.progVar.append(vt,Wt);if(Wt(vt.shared.gl,\".useProgram(\",rr,\".program);\"),Pt.shader.program)$(vt,Wt,Pt,Pt.shader.program);else{Wt(vt.shared.vao,\".setVAO(null);\");var dr=vt.global.def(\"{}\"),pr=Wt.def(rr,\".id\"),kr=Wt.def(dr,\"[\",pr,\"]\");Wt(vt.cond(kr).then(kr,\".call(this,a0);\").else(kr,\"=\",dr,\"[\",pr,\"]=\",vt.link(function(Ar){return O($,vt,Pt,Ar,1)}),\"(\",rr,\");\",kr,\".call(this,a0);\"))}Object.keys(Pt.state).length>0&&Wt(vt.shared.current,\".dirty=true;\"),vt.shared.vao&&Wt(vt.shared.vao,\".setVAO(null);\")}function de(vt,Pt,Wt,rr){vt.batchId=\"a1\",_f(vt,Pt);function dr(){return!0}Y(vt,Pt,Wt,rr.attributes,dr),z(vt,Pt,Wt,rr.uniforms,dr,!1),K(vt,Pt,Pt,Wt)}function Ie(vt,Pt,Wt,rr){_f(vt,Pt);var dr=Wt.contextDep,pr=Pt.def(),kr=\"a0\",Ar=\"a1\",gr=Pt.def();vt.shared.props=gr,vt.batchId=pr;var Cr=vt.scope(),cr=vt.scope();Pt(Cr.entry,\"for(\",pr,\"=0;\",pr,\"<\",Ar,\";++\",pr,\"){\",gr,\"=\",kr,\"[\",pr,\"];\",cr,\"}\",Cr.exit);function Gr(Qn){return Qn.contextDep&&dr||Qn.propDep}function ei(Qn){return!Gr(Qn)}if(Wt.needsContext&&Hl(vt,cr,Wt.context),Wt.needsFramebuffer&&Fc(vt,cr,Wt.framebuffer),ls(vt,cr,Wt.state,Gr),Wt.profile&&Gr(Wt.profile)&&ns(vt,cr,Wt,!1,!0),rr)Wt.useVAO?Wt.drawVAO?Gr(Wt.drawVAO)?cr(vt.shared.vao,\".setVAO(\",Wt.drawVAO.append(vt,cr),\");\"):Cr(vt.shared.vao,\".setVAO(\",Wt.drawVAO.append(vt,Cr),\");\"):Cr(vt.shared.vao,\".setVAO(\",vt.shared.vao,\".targetVAO);\"):(Cr(vt.shared.vao,\".setVAO(null);\"),Y(vt,Cr,Wt,rr.attributes,ei),Y(vt,cr,Wt,rr.attributes,Gr)),z(vt,Cr,Wt,rr.uniforms,ei,!1),z(vt,cr,Wt,rr.uniforms,Gr,!0),K(vt,Cr,cr,Wt);else{var yi=vt.global.def(\"{}\"),tn=Wt.shader.progVar.append(vt,cr),Ri=cr.def(tn,\".id\"),ln=cr.def(yi,\"[\",Ri,\"]\");cr(vt.shared.gl,\".useProgram(\",tn,\".program);\",\"if(!\",ln,\"){\",ln,\"=\",yi,\"[\",Ri,\"]=\",vt.link(function(Qn){return O(de,vt,Wt,Qn,2)}),\"(\",tn,\");}\",ln,\".call(this,a0[\",pr,\"],\",pr,\");\")}}function $e(vt,Pt){var Wt=vt.proc(\"batch\",2);vt.batchId=\"0\",_f(vt,Wt);var rr=!1,dr=!0;Object.keys(Pt.context).forEach(function(yi){rr=rr||Pt.context[yi].propDep}),rr||(Hl(vt,Wt,Pt.context),dr=!1);var pr=Pt.framebuffer,kr=!1;pr?(pr.propDep?rr=kr=!0:pr.contextDep&&rr&&(kr=!0),kr||Fc(vt,Wt,pr)):Fc(vt,Wt,null),Pt.state.viewport&&Pt.state.viewport.propDep&&(rr=!0);function Ar(yi){return yi.contextDep&&rr||yi.propDep}ef(vt,Wt,Pt),ls(vt,Wt,Pt.state,function(yi){return!Ar(yi)}),(!Pt.profile||!Ar(Pt.profile))&&ns(vt,Wt,Pt,!1,\"a1\"),Pt.contextDep=rr,Pt.needsContext=dr,Pt.needsFramebuffer=kr;var gr=Pt.shader.progVar;if(gr.contextDep&&rr||gr.propDep)Ie(vt,Wt,Pt,null);else{var Cr=gr.append(vt,Wt);if(Wt(vt.shared.gl,\".useProgram(\",Cr,\".program);\"),Pt.shader.program)Ie(vt,Wt,Pt,Pt.shader.program);else{Wt(vt.shared.vao,\".setVAO(null);\");var cr=vt.global.def(\"{}\"),Gr=Wt.def(Cr,\".id\"),ei=Wt.def(cr,\"[\",Gr,\"]\");Wt(vt.cond(ei).then(ei,\".call(this,a0,a1);\").else(ei,\"=\",cr,\"[\",Gr,\"]=\",vt.link(function(yi){return O(Ie,vt,Pt,yi,2)}),\"(\",Cr,\");\",ei,\".call(this,a0,a1);\"))}}Object.keys(Pt.state).length>0&&Wt(vt.shared.current,\".dirty=true;\"),vt.shared.vao&&Wt(vt.shared.vao,\".setVAO(null);\")}function pt(vt,Pt){var Wt=vt.proc(\"scope\",3);vt.batchId=\"a2\";var rr=vt.shared,dr=rr.current;if(Hl(vt,Wt,Pt.context),Pt.framebuffer&&Pt.framebuffer.append(vt,Wt),ci(Object.keys(Pt.state)).forEach(function(Ar){var gr=Pt.state[Ar],Cr=gr.append(vt,Wt);an(Cr)?Cr.forEach(function(cr,Gr){ma(cr)?Wt.set(vt.next[Ar],\"[\"+Gr+\"]\",cr):Wt.set(vt.next[Ar],\"[\"+Gr+\"]\",vt.link(cr,{stable:!0}))}):un(gr)?Wt.set(rr.next,\".\"+Ar,vt.link(Cr,{stable:!0})):Wt.set(rr.next,\".\"+Ar,Cr)}),ns(vt,Wt,Pt,!0,!0),[yt,hr,Nt,Sr,Ot].forEach(function(Ar){var gr=Pt.draw[Ar];if(gr){var Cr=gr.append(vt,Wt);ma(Cr)?Wt.set(rr.draw,\".\"+Ar,Cr):Wt.set(rr.draw,\".\"+Ar,vt.link(Cr),{stable:!0})}}),Object.keys(Pt.uniforms).forEach(function(Ar){var gr=Pt.uniforms[Ar].append(vt,Wt);Array.isArray(gr)&&(gr=\"[\"+gr.map(function(Cr){return ma(Cr)?Cr:vt.link(Cr,{stable:!0})})+\"]\"),Wt.set(rr.uniforms,\"[\"+vt.link(Er.id(Ar),{stable:!0})+\"]\",gr)}),Object.keys(Pt.attributes).forEach(function(Ar){var gr=Pt.attributes[Ar].append(vt,Wt),Cr=vt.scopeAttrib(Ar);Object.keys(new ji).forEach(function(cr){Wt.set(Cr,\".\"+cr,gr[cr])})}),Pt.scopeVAO){var pr=Pt.scopeVAO.append(vt,Wt);ma(pr)?Wt.set(rr.vao,\".targetVAO\",pr):Wt.set(rr.vao,\".targetVAO\",vt.link(pr,{stable:!0}))}function kr(Ar){var gr=Pt.shader[Ar];if(gr){var Cr=gr.append(vt,Wt);ma(Cr)?Wt.set(rr.shader,\".\"+Ar,Cr):Wt.set(rr.shader,\".\"+Ar,vt.link(Cr,{stable:!0}))}}kr(je),kr(it),Object.keys(Pt.state).length>0&&(Wt(dr,\".dirty=true;\"),Wt.exit(dr,\".dirty=true;\")),Wt(\"a1(\",vt.shared.context,\",a0,\",vt.batchId,\");\")}function Kt(vt){if(!(typeof vt!=\"object\"||an(vt))){for(var Pt=Object.keys(vt),Wt=0;Wt=0;--O){var $=ro[O];$&&$(fn,null,0)}Wr.flush(),yn&&yn.update()}function Jo(){!_o&&ro.length>0&&(_o=d.next(Po))}function Xl(){_o&&(d.cancel(Po),_o=null)}function $c(O){O.preventDefault(),Ui=!0,Xl(),Ao.forEach(function($){$()})}function xs(O){Wr.getError(),Ui=!1,Oi.restore(),Za.restore(),Un.restore(),wn.restore(),vn.restore(),Aa.restore(),ca.restore(),yn&&yn.restore(),aa.procs.refresh(),Jo(),Jn.forEach(function($){$()})}ma&&(ma.addEventListener(Lo,$c,!1),ma.addEventListener(Fo,xs,!1));function Qc(){ro.length=0,Xl(),ma&&(ma.removeEventListener(Lo,$c),ma.removeEventListener(Fo,xs)),Za.clear(),Aa.clear(),vn.clear(),ca.clear(),wn.clear(),gn.clear(),Un.clear(),yn&&yn.clear(),Oa.forEach(function(O){O()})}function El(O){function $(pr){var kr=e({},pr);delete kr.uniforms,delete kr.attributes,delete kr.context,delete kr.vao,\"stencil\"in kr&&kr.stencil.op&&(kr.stencil.opBack=kr.stencil.opFront=kr.stencil.op,delete kr.stencil.op);function Ar(gr){if(gr in kr){var Cr=kr[gr];delete kr[gr],Object.keys(Cr).forEach(function(cr){kr[gr+\".\"+cr]=Cr[cr]})}}return Ar(\"blend\"),Ar(\"depth\"),Ar(\"cull\"),Ar(\"stencil\"),Ar(\"polygonOffset\"),Ar(\"scissor\"),Ar(\"sample\"),\"vao\"in pr&&(kr.vao=pr.vao),kr}function pe(pr,kr){var 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yF,Vu=function(t){bBt(t)?(t={regl:t},this.gl=t.regl._gl):this.gl=uBt(t),this.shader=dOe.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||lBt({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),dOe.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(dBt(t)?t:{})};Vu.prototype.createShader=function(){var t=this.regl,r=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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"\t\t\tuniform float fontSize, charStep, em, align, baseline;\n", + "\t\t\tuniform vec4 viewport;\n", + "\t\t\tuniform vec4 color;\n", + "\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n", + "\t\t\tvarying vec2 charCoord, charId;\n", + "\t\t\tvarying float charWidth;\n", + "\t\t\tvarying vec4 fontColor;\n", + "\t\t\tvoid main () {\n", + "\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n", + "\t\t\t\t\t+ vec2(positionOffset.x, -positionOffset.y)))\n", + "\t\t\t\t\t/ (viewport.zw * scale.xy);\n", + "\n", + "\t\t\t\tvec2 position = (position + translate) * scale;\n", + "\t\t\t\tposition += offset * scale;\n", + "\n", + "\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n", + "\n", + "\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n", + "\n", + "\t\t\t\tgl_PointSize = charStep;\n", + "\n", + "\t\t\t\tcharId.x = mod(char, atlasDim.x);\n", + "\t\t\t\tcharId.y = floor(char / atlasDim.x);\n", + "\n", + "\t\t\t\tcharWidth = width * em;\n", + "\n", + "\t\t\t\tfontColor = color / 255.;\n", + "\t\t\t}`,frag:`\n", + "\t\t\tprecision highp float;\n", + "\t\t\tuniform float fontSize, charStep, opacity;\n", + "\t\t\tuniform vec2 atlasSize;\n", + "\t\t\tuniform vec4 viewport;\n", + "\t\t\tuniform sampler2D atlas;\n", + "\t\t\tvarying vec4 fontColor;\n", + "\t\t\tvarying vec2 charCoord, charId;\n", + "\t\t\tvarying float charWidth;\n", + "\n", + "\t\t\tfloat lightness(vec4 color) {\n", + "\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n", + "\t\t\t}\n", + "\n", + "\t\t\tvoid main () {\n", + "\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n", + "\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n", + "\n", + "\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n", + "\t\t\t\tuv.y = charStep - uv.y;\n", + "\n", + "\t\t\t\t// ignore points outside of character bounding box\n", + "\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n", + "\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n", + "\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n", + "\n", + "\t\t\t\tuv += charId * charStep;\n", + "\t\t\t\tuv = uv / atlasSize;\n", + "\n", + "\t\t\t\tvec4 color = fontColor;\n", + "\t\t\t\tvec4 mask = texture2D(atlas, uv);\n", + "\n", + "\t\t\t\tfloat maskY = lightness(mask);\n", + "\t\t\t\t// float colorY = lightness(color);\n", + "\t\t\t\tcolor.a *= maskY;\n", + "\t\t\t\tcolor.a *= opacity;\n", + "\n", + "\t\t\t\t// color.a += .1;\n", + "\n", + "\t\t\t\t// antialiasing, see yiq color space y-channel formula\n", + "\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n", + "\n", + "\t\t\t\tgl_FragColor = color;\n", + "\t\t\t}`}),n={};return{regl:t,draw:r,atlas:n}};Vu.prototype.update=function(t){var r=this;if(typeof t==\"string\")t={text:t};else if(!t)return;t=sBt(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0),t.opacity!=null&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(ke){return parseFloat(ke)}):this.opacity=parseFloat(t.opacity)),t.viewport!=null&&(this.viewport=hBt(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),this.viewport==null&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),t.kerning!=null&&(this.kerning=t.kerning),t.offset!=null&&(typeof t.offset==\"number\"&&(t.offset=[t.offset,0]),this.positionOffset=_Bt(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),!this.font.length&&!t.font&&(t.font=Vu.baseFontSize+\"px sans-serif\");var n=!1,i=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach(function(ke,ge){if(typeof ke==\"string\")try{ke=hA.parse(ke)}catch(Ge){ke=hA.parse(Vu.baseFontSize+\"px \"+ke)}else{var ie=ke.style,Te=ke.weight,Ee=ke.stretch,Ae=ke.variant;ke=hA.parse(hA.stringify(ke)),ie&&(ke.style=ie),Te&&(ke.weight=Te),Ee&&(ke.stretch=Ee),Ae&&(ke.variant=Ae)}var ze=hA.stringify({size:Vu.baseFontSize,family:ke.family,stretch:_F?ke.stretch:void 0,variant:ke.variant,weight:ke.weight,style:ke.style}),Ce=vBt(ke.size),me=Math.round(Ce[0]*pBt(Ce[1]));if(me!==r.fontSize[ge]&&(i=!0,r.fontSize[ge]=me),(!r.font[ge]||ze!=r.font[ge].baseString)&&(n=!0,r.font[ge]=Vu.fonts[ze],!r.font[ge])){var Re=ke.family.join(\", \"),ce=[ke.style];ke.style!=ke.variant&&ce.push(ke.variant),ke.variant!=ke.weight&&ce.push(ke.weight),_F&&ke.weight!=ke.stretch&&ce.push(ke.stretch),r.font[ge]={baseString:ze,family:Re,weight:ke.weight,stretch:ke.stretch,style:ke.style,variant:ke.variant,width:{},kerning:{},metrics:yBt(Re,{origin:\"top\",fontSize:Vu.baseFontSize,fontStyle:ce.join(\" \")})},Vu.fonts[ze]=r.font[ge]}}),(n||i)&&this.font.forEach(function(ke,ge){var ie=hA.stringify({size:r.fontSize[ge],family:ke.family,stretch:_F?ke.stretch:void 0,variant:ke.variant,weight:ke.weight,style:ke.style});if(r.fontAtlas[ge]=r.shader.atlas[ie],!r.fontAtlas[ge]){var Te=ke.metrics;r.shader.atlas[ie]=r.fontAtlas[ge]={fontString:ie,step:Math.ceil(r.fontSize[ge]*Te.bottom*.5)*2,em:r.fontSize[ge],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:r.regl.texture()}}t.text==null&&(t.text=r.text)}),typeof t.text==\"string\"&&t.position&&t.position.length>2){for(var a=Array(t.position.length*.5),o=0;o2){for(var u=!t.position[0].length,c=hx.mallocFloat(this.count*2),f=0,h=0;f1?r.align[ge]:r.align[0]:r.align;if(typeof ie==\"number\")return ie;switch(ie){case\"right\":case\"end\":return-ke;case\"center\":case\"centre\":case\"middle\":return-ke*.5}return 0})),this.baseline==null&&t.baseline==null&&(t.baseline=0),t.baseline!=null&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(ke,ge){var ie=(r.font[ge]||r.font[0]).metrics,Te=0;return Te+=ie.bottom*.5,typeof ke==\"number\"?Te+=ke-ie.baseline:Te+=-ie[ke],Te*=-1,Te})),t.color!=null)if(t.color||(t.color=\"transparent\"),typeof t.color==\"string\"||!isNaN(t.color))this.color=KY(t.color,\"uint8\");else{var H;if(typeof t.color[0]==\"number\"&&t.color.length>this.counts.length){var X=t.color.length;H=hx.mallocUint8(X);for(var G=(t.color.subarray||t.color.slice).bind(t.color),N=0;N4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2;if(ae){var _e=Math.max(this.position.length*.5||0,this.color.length*.25||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,this.positionOffset.length*.5||0);this.batch=Array(_e);for(var Me=0;Me1?this.counts[Me]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[Me]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(Me*4,Me*4+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[Me]:this.opacity,baseline:this.baselineOffset[Me]!=null?this.baselineOffset[Me]:this.baselineOffset[0],align:this.align?this.alignOffset[Me]!=null?this.alignOffset[Me]:this.alignOffset[0]:0,atlas:this.fontAtlas[Me]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(Me*2,Me*2+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]}};Vu.prototype.destroy=function(){};Vu.prototype.kerning=!0;Vu.prototype.position={constant:new Float32Array(2)};Vu.prototype.translate=null;Vu.prototype.scale=null;Vu.prototype.font=null;Vu.prototype.text=\"\";Vu.prototype.positionOffset=[0,0];Vu.prototype.opacity=1;Vu.prototype.color=new Uint8Array([0,0,0,255]);Vu.prototype.alignOffset=[0,0];Vu.maxAtlasSize=1024;Vu.atlasCanvas=document.createElement(\"canvas\");Vu.atlasContext=Vu.atlasCanvas.getContext(\"2d\",{alpha:!1});Vu.baseFontSize=64;Vu.fonts={};function bBt(e){return typeof e==\"function\"&&e._gl&&e.prop&&e.texture&&e.buffer}vOe.exports=Vu});var xF=ye((Mmr,gOe)=>{\"use strict\";var wBt=pZ(),TBt=GY();gOe.exports=function(t,r,n){var i=t._fullLayout,a=!0;return 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wF=ye((Lmr,POe)=>{\"use strict\";POe.exports=function(e,t,r,n){n||(n=1/0);var i,a;for(i=0;i{\"use strict\";var tK=Mr(),qBt=Zd(),IOe=eK(),OBt=lu(),BBt=$p(),NBt=wF(),UBt=Fz().isOpenSymbol;ROe.exports=function(t,r,n,i){function a(d,v){return tK.coerce(t,r,IOe,d,v)}var o=qBt(t,r,{name:\"dimensions\",handleItemDefaults:VBt}),s=a(\"diagonal.visible\"),l=a(\"showupperhalf\"),u=a(\"showlowerhalf\"),c=NBt(r,o,\"values\");if(!c||!s&&!l&&!u){r.visible=!1;return}a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"xhoverformat\"),a(\"yhoverformat\"),BBt(t,r,n,i,a,{noAngleRef:!0,noStandOff:!0});var f=UBt(r.marker.symbol),h=OBt.isBubble(r);a(\"marker.line.width\",f||h?1:0),HBt(t,r,i,a),tK.coerceSelectionMarkerOpacity(r,a)};function VBt(e,t){function r(i,a){return tK.coerce(e,t,IOe.dimensions,i,a)}r(\"label\");var n=r(\"values\");n&&n.length?r(\"visible\"):t.visible=!1,r(\"axis.type\"),r(\"axis.matches\")}function HBt(e,t,r,n){var 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n=r.trace,i=t._fullLayout._splomScenes[n.uid];if(i){cNt(t,n),fBe.extendFlat(i.matrixOptions,fNt(t,n));var a=fBe.extendFlat({},i.matrixOptions,i.viewOpts);i.matrix.update(a,null)}}});var pBe=ye((Vmr,vBe)=>{\"use strict\";var hNt=ba(),dNt=nV();vBe.exports={moduleType:\"trace\",name:\"splom\",categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:eK(),supplyDefaults:DOe(),colorbar:Kd(),calc:NOe(),plot:$Oe(),hoverPoints:nBe().hoverPoints,selectPoints:cBe(),editStyle:dBe(),meta:{}};hNt.register(dNt)});var bBe=ye((Hmr,xBe)=>{\"use strict\";var vNt=LY(),pNt=ba(),gNt=xF(),mNt=kd().getModuleCalcData,px=Jf(),gBe=af().getFromId,mBe=Qa().shouldShowZeroLine,yBe=\"splom\",_Be={};function yNt(e){var t=e._fullLayout,r=pNt.getModule(yBe),n=mNt(e.calcdata,r)[0],i=gNt(e,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],_Be);i&&(t._hasOnlyLargeSploms&&sK(e),r.plot(e,{},n))}function _Nt(e){var t=e.calcdata,r=e._fullLayout;r._hasOnlyLargeSploms&&sK(e);for(var n=0;n{\"use strict\";var wBe=pBe();wBe.basePlotModule=bBe(),TBe.exports=wBe});var MBe=ye((jmr,SBe)=>{\"use strict\";SBe.exports=ABe()});var cK=ye((Wmr,EBe)=>{\"use strict\";var TNt=Kl(),lK=Cd(),uK=Su(),ANt=Ju().attributes,CF=no().extendFlat,SNt=Vs().templatedArray;EBe.exports={domain:ANt({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:uK({editType:\"plot\"}),tickfont:uK({autoShadowDflt:!0,editType:\"plot\"}),rangefont:uK({editType:\"plot\"}),dimensions:SNt(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:CF({},lK.tickvals,{editType:\"plot\"}),ticktext:CF({},lK.ticktext,{editType:\"plot\"}),tickformat:CF({},lK.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:CF({editType:\"calc\"},TNt(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}});var Tk=ye((Zmr,kBe)=>{\"use strict\";kBe.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}});var Km=ye((Xmr,LBe)=>{\"use strict\";var MNt=OS();function CBe(e){return[e]}LBe.exports={keyFun:function(e){return e.key},repeat:CBe,descend:MNt,wrap:CBe,unwrap:function(e){return e[0]}}});var dK=ye((Ymr,UBe)=>{\"use strict\";var th=Tk(),em=xa(),ENt=Km().keyFun,LF=Km().repeat,mA=Mr().sorterAsc,kNt=Mr().strTranslate,PBe=th.bar.snapRatio;function IBe(e,t){return e*(1-PBe)+t*PBe}var RBe=th.bar.snapClose;function CNt(e,t){return e*(1-RBe)+t*RBe}function IF(e,t,r,n){if(LNt(r,n))return r;var i=e?-1:1,a=0,o=t.length-1;if(i<0){var s=a;a=o,o=s}for(var l=t[a],u=l,c=a;i*c=t[r][0]&&e<=t[r][1])return!0;return!1}function PNt(e){e.attr(\"x\",-th.bar.captureWidth/2).attr(\"width\",th.bar.captureWidth)}function INt(e){e.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function RNt(e){if(!e.brush.filterSpecified)return\"0,\"+e.height;for(var t=DBe(e.brush.filter.getConsolidated(),e.height),r=[0],n,i,a,o=t.length?t[0][0]:null,s=0;se[1]+r||t=.9*e[1]+.1*e[0]?\"n\":t<=.9*e[0]+.1*e[1]?\"s\":\"ns\"}function zBe(){em.select(document.body).style(\"cursor\",null)}function hK(e){e.attr(\"stroke-dasharray\",RNt)}function PF(e,t){var r=em.select(e).selectAll(\".highlight, .highlight-shadow\"),n=t?r.transition().duration(th.bar.snapDuration).each(\"end\",t):r;hK(n)}function FBe(e,t){var r=e.brush,n=r.filterSpecified,i=NaN,a={},o;if(n){var s=e.height,l=r.filter.getConsolidated(),u=DBe(l,s),c=NaN,f=NaN,h=NaN;for(o=0;o<=u.length;o++){var d=u[o];if(d&&d[0]<=t&&t<=d[1]){c=o;break}else if(f=o?o-1:NaN,d&&d[0]>t){h=o;break}}if(i=c,isNaN(i)&&(isNaN(f)||isNaN(h)?i=isNaN(f)?h:f:i=t-u[f][1]=E[0]&&g<=E[1]){a.clickableOrdinalRange=E;break}}}return a}function zNt(e,t){em.event.sourceEvent.stopPropagation();var r=t.height-em.mouse(e)[1]-2*th.verticalPadding,n=t.unitToPaddedPx.invert(r),i=t.brush,a=FBe(t,r),o=a.interval,s=i.svgBrush;if(s.wasDragged=!1,s.grabbingBar=a.region===\"ns\",s.grabbingBar){var l=o.map(t.unitToPaddedPx);s.grabPoint=r-l[0]-th.verticalPadding,s.barLength=l[1]-l[0]}s.clickableOrdinalRange=a.clickableOrdinalRange,s.stayingIntervals=t.multiselect&&i.filterSpecified?i.filter.getConsolidated():[],o&&(s.stayingIntervals=s.stayingIntervals.filter(function(u){return u[0]!==o[0]&&u[1]!==o[1]})),s.startExtent=a.region?o[a.region===\"s\"?1:0]:n,t.parent.inBrushDrag=!0,s.brushStartCallback()}function qBe(e,t){em.event.sourceEvent.stopPropagation();var r=t.height-em.mouse(e)[1]-2*th.verticalPadding,n=t.brush.svgBrush;n.wasDragged=!0,n._dragging=!0,n.grabbingBar?n.newExtent=[r-n.grabPoint,r+n.barLength-n.grabPoint].map(t.unitToPaddedPx.invert):n.newExtent=[n.startExtent,t.unitToPaddedPx.invert(r)].sort(mA),t.brush.filterSpecified=!0,n.extent=n.stayingIntervals.concat([n.newExtent]),n.brushCallback(t),PF(e.parentNode)}function FNt(e,t){var r=t.brush,n=r.filter,i=r.svgBrush;i._dragging||(OBe(e,t),qBe(e,t),t.brush.svgBrush.wasDragged=!1),i._dragging=!1;var a=em.event;a.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,t.parent.inBrushDrag=!1,zBe(),!i.wasDragged){i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&t.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,i.extent.length===0&&fK(r)):fK(r),i.brushCallback(t),PF(e.parentNode),i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);return}var s=function(){n.set(n.getConsolidated())};if(t.ordinal){var l=t.unitTickvals;l[l.length-1]i.newExtent[0];i.extent=i.stayingIntervals.concat(u?[i.newExtent]:[]),i.extent.length||fK(r),i.brushCallback(t),u?PF(e.parentNode,s):(s(),PF(e.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}function OBe(e,t){var r=t.height-em.mouse(e)[1]-2*th.verticalPadding,n=FBe(t,r),i=\"crosshair\";n.clickableOrdinalRange?i=\"pointer\":n.region&&(i=n.region+\"-resize\"),em.select(document.body).style(\"cursor\",i)}function qNt(e){e.on(\"mousemove\",function(t){em.event.preventDefault(),t.parent.inBrushDrag||OBe(this,t)}).on(\"mouseleave\",function(t){t.parent.inBrushDrag||zBe()}).call(em.behavior.drag().on(\"dragstart\",function(t){zNt(this,t)}).on(\"drag\",function(t){qBe(this,t)}).on(\"dragend\",function(t){FNt(this,t)}))}function BBe(e,t){return e[0]-t[0]}function ONt(e,t,r){var n=r._context.staticPlot,i=e.selectAll(\".background\").data(LF);i.enter().append(\"rect\").classed(\"background\",!0).call(PNt).call(INt).style(\"pointer-events\",n?\"none\":\"auto\").attr(\"transform\",kNt(0,th.verticalPadding)),i.call(qNt).attr(\"height\",function(s){return s.height-th.verticalPadding});var a=e.selectAll(\".highlight-shadow\").data(LF);a.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-th.bar.width/2).attr(\"stroke-width\",th.bar.width+th.bar.strokeWidth).attr(\"stroke\",t).attr(\"opacity\",th.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",function(s){return s.height}).call(hK);var o=e.selectAll(\".highlight\").data(LF);o.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-th.bar.width/2).attr(\"stroke-width\",th.bar.width-th.bar.strokeWidth).attr(\"stroke\",th.bar.fillColor).attr(\"opacity\",th.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),o.attr(\"y1\",function(s){return s.height}).call(hK)}function BNt(e,t,r){var n=e.selectAll(\".\"+th.cn.axisBrush).data(LF,ENt);n.enter().append(\"g\").classed(th.cn.axisBrush,!0),ONt(n,t,r)}function NNt(e){return e.svgBrush.extent.map(function(t){return t.slice()})}function fK(e){e.filterSpecified=!1,e.svgBrush.extent=[[-1/0,1/0]]}function UNt(e){return function(r){var n=r.brush,i=NNt(n),a=i.slice();n.filter.set(a),e()}}function NBe(e){for(var t=e.slice(),r=[],n,i=t.shift();i;){for(n=i.slice();(i=t.shift())&&i[0]<=n[1];)n[1]=Math.max(n[1],i[1]);r.push(n)}return r.length===1&&r[0][0]>r[0][1]&&(r=[]),r}function VNt(){var e=[],t,r;return{set:function(n){e=n.map(function(i){return i.slice().sort(mA)}).sort(BBe),e.length===1&&e[0][0]===-1/0&&e[0][1]===1/0&&(e=[[0,-1]]),t=NBe(e),r=e.reduce(function(i,a){return[Math.min(i[0],a[0]),Math.max(i[1],a[1])]},[1/0,-1/0])},get:function(){return e.slice()},getConsolidated:function(){return t},getBounds:function(){return r}}}function HNt(e,t,r,n,i,a){var o=VNt();return o.set(r),{filter:o,filterSpecified:t,svgBrush:{extent:[],brushStartCallback:n,brushCallback:UNt(i),brushEndCallback:a}}}function GNt(e,t){if(Array.isArray(e[0])?(e=e.map(function(n){return n.sort(mA)}),t.multiselect?e=NBe(e.sort(BBe)):e=[e[0]]):e=[e.sort(mA)],t.tickvals){var r=t.tickvals.slice().sort(mA);if(e=e.map(function(n){var i=[IF(0,r,n[0],[]),IF(1,r,n[1],[])];if(i[1]>i[0])return i}).filter(function(n){return n}),!e.length)return}return e.length>1?e:e[0]}UBe.exports={makeBrush:HNt,ensureAxisBrush:BNt,cleanRanges:GNt}});var GBe=ye((Kmr,HBe)=>{\"use strict\";var gx=Mr(),jNt=Dv().hasColorscale,WNt=Uh(),ZNt=Ju().defaults,XNt=Zd(),YNt=Qa(),VBe=cK(),KNt=dK(),vK=Tk().maxDimensionCount,JNt=wF();function $Nt(e,t,r,n,i){var a=i(\"line.color\",r);if(jNt(e,\"line\")&&gx.isArrayOrTypedArray(a)){if(a.length)return i(\"line.colorscale\"),WNt(e,t,n,i,{prefix:\"line.\",cLetter:\"c\"}),a.length;t.line.color=r}return 1/0}function QNt(e,t,r,n){function i(u,c){return gx.coerce(e,t,VBe.dimensions,u,c)}var a=i(\"values\"),o=i(\"visible\");if(a&&a.length||(o=t.visible=!1),o){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var s=i(\"range\");t._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:s},YNt.setConvert(t._ax,n.layout),i(\"multiselect\");var l=i(\"constraintrange\");l&&(t.constraintrange=KNt.cleanRanges(l,t))}}HBe.exports=function(t,r,n,i){function a(c,f){return gx.coerce(t,r,VBe,c,f)}var o=t.dimensions;Array.isArray(o)&&o.length>vK&&(gx.log(\"parcoords traces support up to \"+vK+\" dimensions at the moment\"),o.splice(vK));var s=XNt(t,r,{name:\"dimensions\",layout:i,handleItemDefaults:QNt}),l=$Nt(t,r,n,i,a);ZNt(r,i,a),(!Array.isArray(s)||!s.length)&&(r.visible=!1),JNt(r,s,\"values\",l);var u=gx.extendFlat({},i.font,{size:Math.round(i.font.size/1.2)});gx.coerceFont(a,\"labelfont\",u),gx.coerceFont(a,\"tickfont\",u,{autoShadowDflt:!0}),gx.coerceFont(a,\"rangefont\",u),a(\"labelangle\"),a(\"labelside\"),a(\"unselected.line.color\"),a(\"unselected.line.opacity\")}});var WBe=ye((Jmr,jBe)=>{\"use strict\";var eUt=Mr().isArrayOrTypedArray,pK=Mu(),tUt=Km().wrap;jBe.exports=function(t,r){var n,i;return pK.hasColorscale(r,\"line\")&&eUt(r.line.color)?(n=r.line.color,i=pK.extractOpts(r.line).colorscale,pK.calc(t,r,{vals:n,containerStr:\"line\",cLetter:\"c\"})):(n=rUt(r._length),i=[[0,r.line.color],[1,r.line.color]]),tUt({lineColor:n,cscale:i})};function rUt(e){for(var t=new Array(e),r=0;r{\"use strict\";var iUt=Mr().isTypedArray;RF.convertTypedArray=function(e){return 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PNe=no().extendFlat,zUt=vl(),LNe=Su(),FUt=Kl(),INe=Wo().hovertemplateAttrs,qUt=Ju().attributes,OUt=PNe({editType:\"calc\"},FUt(\"line\",{editTypeOverride:\"calc\"}),{shape:{valType:\"enumerated\",values:[\"linear\",\"hspline\"],dflt:\"linear\",editType:\"plot\"},hovertemplate:INe({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\"]})});RNe.exports={domain:qUt({name:\"parcats\",trace:!0,editType:\"calc\"}),hoverinfo:PNe({},zUt.hoverinfo,{flags:[\"count\",\"probability\"],editType:\"plot\",arrayOk:!1}),hoveron:{valType:\"enumerated\",values:[\"category\",\"color\",\"dimension\"],dflt:\"category\",editType:\"plot\"},hovertemplate:INe({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\",\"category\",\"categorycount\",\"colorcount\",\"bandcolorcount\"]}),arrangement:{valType:\"enumerated\",values:[\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"perpendicular\",editType:\"plot\"},bundlecolors:{valType:\"boolean\",dflt:!0,editType:\"plot\"},sortpaths:{valType:\"enumerated\",values:[\"forward\",\"backward\"],dflt:\"forward\",editType:\"plot\"},labelfont:LNe({editType:\"calc\"}),tickfont:LNe({autoShadowDflt:!0,editType:\"calc\"}),dimensions:{_isLinkedToArray:\"dimension\",label:{valType:\"string\",editType:\"calc\"},categoryorder:{valType:\"enumerated\",values:[\"trace\",\"category 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l=i.font;_A.coerceFont(a,\"labelfont\",l,{overrideDflt:{size:Math.round(l.size)}}),_A.coerceFont(a,\"tickfont\",l,{autoShadowDflt:!0,overrideDflt:{size:Math.round(l.size/1.2)}})}});var ONe=ye((syr,qNe)=>{\"use strict\";var ZUt=Km().wrap,XUt=Dv().hasColorscale,YUt=zv(),KUt=Gq(),JUt=ao(),Mk=Mr(),$Ut=uo();qNe.exports=function(t,r){var n=Mk.filterVisible(r.dimensions);if(n.length===0)return[];var i=n.map(function(p){var P;if(p.categoryorder===\"trace\")P=null;else if(p.categoryorder===\"array\")P=p.categoryarray;else{P=KUt(p.values);for(var T=!0,F=0;F=e.length||t[e[r]]!==void 0)return!1;t[e[r]]=!0}return!0}});var ZNe=ye((lyr,WNe)=>{\"use strict\";var ul=xa(),uVt=(R2(),ab(I2)).interpolateNumber,cVt=qP(),Ck=Nc(),mx=Mr(),Ek=mx.strTranslate,BNe=ao(),MK=id(),fVt=Ll();function hVt(e,t,r,n){var i=t._context.staticPlot,a=e.map(EVt.bind(0,t,r)),o=n.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",i?\"none\":\"all\");var s=o.selectAll(\"g.trace.parcats\").data(a,u1),l=s.enter().append(\"g\").attr(\"class\",\"trace parcats\");s.attr(\"transform\",function(E){return Ek(E.x,E.y)}),l.append(\"g\").attr(\"class\",\"paths\");var u=s.select(\"g.paths\"),c=u.selectAll(\"path.path\").data(function(E){return E.paths},u1);c.attr(\"fill\",function(E){return E.model.color});var f=c.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",function(E){return E.model.color}).attr(\"fill-opacity\",0);CK(f),c.attr(\"d\",function(E){return E.svgD}),f.empty()||c.sort(EK),c.exit().remove(),c.on(\"mouseover\",dVt).on(\"mouseout\",vVt).on(\"click\",pVt),l.append(\"g\").attr(\"class\",\"dimensions\");var h=s.select(\"g.dimensions\"),d=h.selectAll(\"g.dimension\").data(function(E){return E.dimensions},u1);d.enter().append(\"g\").attr(\"class\",\"dimension\"),d.attr(\"transform\",function(E){return Ek(E.x,0)}),d.exit().remove();var v=d.selectAll(\"g.category\").data(function(E){return 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e.model.rawColor>t.model.rawColor?1:e.model.rawColor\"),_=ul.mouse(i)[0];Ck.loneHover({trace:a,x:v-s.left+l.left,y:x-s.top+l.top,text:L,color:e.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:b,idealAlign:_1&&u.displayInd===l.dimensions.length-1?(h=o.left,d=\"left\"):(h=o.left+o.width,d=\"right\");var v=s.model.count,x=s.model.categoryLabel,b=v/s.parcatsViewModel.model.count,g={countLabel:v,categoryLabel:x,probabilityLabel:b.toFixed(3)},E=[];s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")!==-1&&E.push([\"Count:\",g.countLabel].join(\" \")),s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")!==-1&&E.push([\"P(\"+g.categoryLabel+\"):\",g.probabilityLabel].join(\" \"));var k=E.join(\"
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s;a===\"category\"?s=VNe(r,i,o):a===\"color\"?s=bVt(r,i,o):a===\"dimension\"&&(s=xVt(r,i,o)),s&&Ck.loneHover(s,{container:n._hoverlayer.node(),outerContainer:n._paper.node(),gd:r})}}}function TVt(e){var t=e.parcatsViewModel;if(!t.dragDimension&&(CK(t.pathSelection),UNe(t.dimensionSelection.selectAll(\"g.category\")),PK(t.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),Ck.loneUnhover(t.graphDiv._fullLayout._hoverlayer.node()),t.pathSelection.sort(EK),t.hoverinfoItems.indexOf(\"skip\")===-1)){var r=e.parcatsViewModel.hoveron,n=this;r===\"color\"?RK(n,\"plotly_unhover\",ul.event):IK(n,\"plotly_unhover\",ul.event)}}function AVt(e){e.parcatsViewModel.arrangement!==\"fixed\"&&(e.dragDimensionDisplayInd=e.model.displayInd,e.initialDragDimensionDisplayInds=e.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),e.dragHasMoved=!1,e.dragCategoryDisplayInd=null,ul.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each(function(t){var r=ul.mouse(this)[0],n=ul.mouse(this)[1];-2<=r&&r<=t.width+2&&-2<=n&&n<=t.height+2&&(e.dragCategoryDisplayInd=t.model.displayInd,e.initialDragCategoryDisplayInds=e.model.categories.map(function(i){return i.displayInd}),t.model.dragY=t.y,mx.raiseToTop(this.parentNode),ul.select(this.parentNode).selectAll(\"rect.bandrect\").each(function(i){i.yc.y+c.height/2&&(a.model.displayInd=c.model.displayInd,c.model.displayInd=s),e.dragCategoryDisplayInd=a.model.displayInd}if(e.dragCategoryDisplayInd===null||e.parcatsViewModel.arrangement===\"freeform\"){i.model.dragX=ul.event.x;var f=e.parcatsViewModel.dimensions[r],h=e.parcatsViewModel.dimensions[n];f!==void 0&&i.model.dragXh.x&&(i.model.displayInd=h.model.displayInd,h.model.displayInd=e.dragDimensionDisplayInd),e.dragDimensionDisplayInd=i.model.displayInd}zK(e.parcatsViewModel),DK(e.parcatsViewModel),jNe(e.parcatsViewModel),GNe(e.parcatsViewModel)}}function MVt(e){if(e.parcatsViewModel.arrangement!==\"fixed\"&&e.dragDimensionDisplayInd!==null){ul.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var t={},r=HNe(e.parcatsViewModel),n=e.parcatsViewModel.model.dimensions.map(function(h){return h.displayInd}),i=e.initialDragDimensionDisplayInds.some(function(h,d){return h!==n[d]});i&&n.forEach(function(h,d){var v=e.parcatsViewModel.model.dimensions[d].containerInd;t[\"dimensions[\"+v+\"].displayindex\"]=h});var a=!1;if(e.dragCategoryDisplayInd!==null){var o=e.model.categories.map(function(h){return h.displayInd});if(a=e.initialDragCategoryDisplayInds.some(function(h,d){return h!==o[d]}),a){var s=e.model.categories.slice().sort(function(h,d){return h.displayInd-d.displayInd}),l=s.map(function(h){return h.categoryValue}),u=s.map(function(h){return h.categoryLabel});t[\"dimensions[\"+e.model.containerInd+\"].categoryarray\"]=[l],t[\"dimensions[\"+e.model.containerInd+\"].ticktext\"]=[u],t[\"dimensions[\"+e.model.containerInd+\"].categoryorder\"]=\"array\"}}if(e.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")===-1&&!e.dragHasMoved&&e.potentialClickBand&&(e.parcatsViewModel.hoveron===\"color\"?RK(e.potentialClickBand,\"plotly_click\",ul.event.sourceEvent):IK(e.potentialClickBand,\"plotly_click\",ul.event.sourceEvent)),e.model.dragX=null,e.dragCategoryDisplayInd!==null){var c=e.parcatsViewModel.dimensions[e.dragDimensionDisplayInd].categories[e.dragCategoryDisplayInd];c.model.dragY=null,e.dragCategoryDisplayInd=null}e.dragDimensionDisplayInd=null,e.parcatsViewModel.dragDimension=null,e.dragHasMoved=null,e.potentialClickBand=null,zK(e.parcatsViewModel),DK(e.parcatsViewModel);var f=ul.transition().duration(300).ease(\"cubic-in-out\");f.each(function(){jNe(e.parcatsViewModel,!0),GNe(e.parcatsViewModel,!0)}).each(\"end\",function(){(i||a)&&cVt.restyle(e.parcatsViewModel.graphDiv,t,[r])})}}function HNe(e){for(var t,r=e.graphDiv._fullData,n=0;n=0;l--)u+=\"C\"+o[l]+\",\"+(t[l+1]+n)+\" \"+a[l]+\",\"+(t[l]+n)+\" \"+(e[l]+r[l])+\",\"+(t[l]+n),u+=\"l-\"+r[l]+\",0 \";return u+=\"Z\",u}function DK(e){var t=e.dimensions,r=e.model,n=t.map(function(q){return q.categories.map(function(V){return V.y})}),i=e.model.dimensions.map(function(q){return q.categories.map(function(V){return V.displayInd})}),a=e.model.dimensions.map(function(q){return q.displayInd}),o=e.dimensions.map(function(q){return q.model.dimensionInd}),s=t.map(function(q){return q.x}),l=t.map(function(q){return q.width}),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(q){var V=q.categoryInds.map(function(X,G){return i[G][X]}),H=o.map(function(X){return V[X]});return H}u.sort(function(q,V){var H=f(q),X=f(V);return e.sortpaths===\"backward\"&&(H.reverse(),X.reverse()),H.push(q.valueInds[0]),X.push(V.valueInds[0]),e.bundlecolors&&(H.unshift(q.rawColor),X.unshift(V.rawColor)),HX?1:0});for(var h=new Array(u.length),d=t[0].model.count,v=t[0].categories.map(function(q){return q.height}).reduce(function(q,V){return q+V}),x=0;x0?g=v*(b.count/d):g=0;for(var E=new Array(n.length),k=0;k1?o=(e.width-2*r-n)/(i-1):o=0,s=r,l=s+o*a;var u=[],c=e.model.maxCats,f=t.categories.length,h=8,d=t.count,v=e.height-h*(c-1),x,b,g,E,k,A=(c-f)*h/2,L=t.categories.map(function(_){return{displayInd:_.displayInd,categoryInd:_.categoryInd}});for(L.sort(function(_,C){return 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$Ne=ye((fyr,JNe)=>{\"use strict\";JNe.exports={attributes:SK(),supplyDefaults:FNe(),calc:ONe(),plot:FK(),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:KNe(),categories:[\"noOpacity\"],meta:{}}});var eUe=ye((hyr,QNe)=>{\"use strict\";QNe.exports=$Ne()});var c1=ye((dyr,sUe)=>{\"use strict\";var IVt=X1(),tUe=\"1.13.4\",aUe='\\xA9 OpenStreetMap contributors',rUe=['\\xA9 Carto',aUe].join(\" \"),iUe=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" \"),RVt=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under CC BY SA'].join(\" 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BF=ye((pyr,vUe)=>{\"use strict\";var NVt=Wo().hovertemplateAttrs,UVt=Wo().texttemplateAttrs,VVt=Eg(),Ik=H2(),xA=Uc(),hUe=Pk(),HVt=vl(),GVt=Kl(),ew=no().extendFlat,jVt=Bu().overrideAll,WVt=Pk(),dUe=Ik.line,bA=Ik.marker;vUe.exports=jVt({lon:Ik.lon,lat:Ik.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:ew({},WVt.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:ew({},bA.opacity,{dflt:1})},mode:ew({},xA.mode,{dflt:\"markers\"}),text:ew({},xA.text,{}),texttemplate:UVt({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:ew({},xA.hovertext,{}),line:{color:dUe.color,width:dUe.width},connectgaps:xA.connectgaps,marker:ew({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:bA.opacity,size:bA.size,sizeref:bA.sizeref,sizemin:bA.sizemin,sizemode:bA.sizemode},GVt(\"marker\")),fill:Ik.fill,fillcolor:VVt(),textfont:hUe.layers.symbol.textfont,textposition:hUe.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:xA.selected.marker},unselected:{marker:xA.unselected.marker},hoverinfo:ew({},HVt.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:NVt()},\"calc\",\"nested\")});var OK=ye((gyr,pUe)=>{\"use strict\";var ZVt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];pUe.exports={isSupportedFont:function(e){return ZVt.indexOf(e)!==-1}}});var yUe=ye((myr,mUe)=>{\"use strict\";var Rk=Mr(),BK=lu(),XVt=$p(),YVt=R0(),KVt=D0(),JVt=Ig(),gUe=BF(),$Vt=OK().isSupportedFont;mUe.exports=function(t,r,n,i){function a(g,E){return Rk.coerce(t,r,gUe,g,E)}function o(g,E){return Rk.coerce2(t,r,gUe,g,E)}var s=QVt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"mode\"),a(\"below\"),BK.hasMarkers(r)){XVt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(Rk.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),Rk.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}BK.hasLines(r)&&(YVt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,x=a(\"cluster.enabled\",v);if(x||BK.hasText(r)){var 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n.marker&&n.marker.angle!==\"auto\"&&iv.extendFlat(x.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),x.layout[\"icon-allow-overlap\"]=n.marker.allowoverlap,iv.extendFlat(x.paint,{\"icon-opacity\":n.opacity*n.marker.opacity,\"icon-color\":n.marker.color})),l)){var k=(n.marker||{}).size,A=nHt(n.textposition,k);iv.extendFlat(x.layout,{\"text-size\":n.textfont.size,\"text-anchor\":A.anchor,\"text-offset\":A.offset,\"text-font\":AUe(n)}),iv.extendFlat(x.paint,{\"text-color\":n.textfont.color,\"text-opacity\":n.opacity})}return b};function NF(e){return{type:e,geojson:UF.makeBlank(),layout:{visibility:\"none\"},filter:null,paint:{}}}function lHt(e){var t=e[0].trace,r=t.marker,n=t.selectedpoints,i=iv.isArrayOrTypedArray(r.color),a=iv.isArrayOrTypedArray(r.size),o=iv.isArrayOrTypedArray(r.opacity),s;function l(k){return t.opacity*k}function u(k){return k/2}var c;i&&(TUe.hasColorscale(t,\"marker\")?c=TUe.makeColorScaleFuncFromTrace(r):c=iv.identity);var f;a&&(f=rHt(t));var h;o&&(h=function(k){var A=SUe(k)?+iv.constrain(k,0,1):0;return l(A)});var d=[];for(s=0;s850?s+=\" Black\":i>750?s+=\" Extra Bold\":i>650?s+=\" Bold\":i>550?s+=\" Semi Bold\":i>450?s+=\" Medium\":i>350?s+=\" Regular\":i>250?s+=\" Light\":i>150?s+=\" Extra Light\":s+=\" Thin\"):a.slice(0,2).join(\" \")===\"Open Sans\"?(s=\"Open Sans\",i>750?s+=\" Extrabold\":i>650?s+=\" Bold\":i>550?s+=\" Semibold\":i>350?s+=\" Regular\":s+=\" Light\"):a.slice(0,3).join(\" \")===\"Klokantech Noto Sans\"&&(s=\"Klokantech Noto Sans\",a[3]===\"CJK\"&&(s+=\" CJK\"),s+=i>500?\" Bold\":\" Regular\")),o&&(s+=\" Italic\"),s===\"Open Sans Regular Italic\"?s=\"Open Sans Italic\":s===\"Open Sans Regular Bold\"?s=\"Open Sans Bold\":s===\"Open Sans Regular Bold Italic\"?s=\"Open Sans Bold Italic\":s===\"Klokantech Noto Sans Regular Italic\"&&(s=\"Klokantech Noto Sans Italic\"),iHt(s)||(s=r);var l=s.split(\", \");return l}});var IUe=ye((byr,PUe)=>{\"use strict\";var cHt=Mr(),CUe=kUe(),wA=c1().traceLayerPrefix,rg={cluster:[\"cluster\",\"clusterCount\",\"circle\"],nonCluster:[\"fill\",\"line\",\"circle\",\"symbol\"]};function LUe(e,t,r,n){this.type=\"scattermapbox\",this.subplot=e,this.uid=t,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+t+\"-fill\",line:\"source-\"+t+\"-line\",circle:\"source-\"+t+\"-circle\",symbol:\"source-\"+t+\"-symbol\",cluster:\"source-\"+t+\"-circle\",clusterCount:\"source-\"+t+\"-circle\"},this.layerIds={fill:wA+t+\"-fill\",line:wA+t+\"-line\",circle:wA+t+\"-circle\",symbol:wA+t+\"-symbol\",cluster:wA+t+\"-cluster\",clusterCount:wA+t+\"-cluster-count\"},this.below=null}var Dk=LUe.prototype;Dk.addSource=function(e,t,r){var n={type:\"geojson\",data:t.geojson};r&&r.enabled&&cHt.extendFlat(n,{cluster:!0,clusterMaxZoom:r.maxzoom});var i=this.subplot.map.getSource(this.sourceIds[e]);i?i.setData(t.geojson):this.subplot.map.addSource(this.sourceIds[e],n)};Dk.setSourceData=function(e,t){this.subplot.map.getSource(this.sourceIds[e]).setData(t.geojson)};Dk.addLayer=function(e,t,r){var n={type:t.type,id:this.layerIds[e],source:this.sourceIds[e],layout:t.layout,paint:t.paint};t.filter&&(n.filter=t.filter);for(var i=this.layerIds[e],a,o=this.subplot.getMapLayers(),s=0;s=0;L--){var _=A[L];i.removeLayer(u.layerIds[_])}k||i.removeSource(u.sourceIds.circle)}function h(k){for(var A=rg.nonCluster,L=0;L=0;L--){var _=A[L];i.removeLayer(u.layerIds[_]),k||i.removeSource(u.sourceIds[_])}}function v(k){l?f(k):d(k)}function x(k){s?c(k):h(k)}function b(){for(var k=s?rg.cluster:rg.nonCluster,A=0;A=0;n--){var i=r[n];t.removeLayer(this.layerIds[i]),t.removeSource(this.sourceIds[i])}};PUe.exports=function(t,r){var n=r[0].trace,i=n.cluster&&n.cluster.enabled,a=n.visible!==!0,o=new LUe(t,n.uid,i,a),s=CUe(t.gd,r),l=o.below=t.belowLookup[\"trace-\"+n.uid],u,c,f;if(i)for(o.addSource(\"circle\",s.circle,n.cluster),u=0;u{\"use strict\";var fHt=Nc(),GK=Mr(),hHt=oT(),dHt=GK.fillText,vHt=es().BADNUM,pHt=c1().traceLayerPrefix;function gHt(e,t,r){var n=e.cd,i=n[0].trace,a=e.xa,o=e.ya,s=e.subplot,l=[],u=pHt+i.uid+\"-circle\",c=i.cluster&&i.cluster.enabled;if(c){var f=s.map.queryRenderedFeatures(null,{layers:[u]});l=f.map(function(M){return M.id})}var h=t>=0?Math.floor((t+180)/360):Math.ceil((t-180)/360),d=h*360,v=t-d;function x(M){var p=M.lonlat;if(p[0]===vHt||c&&l.indexOf(M.i+1)===-1)return 1/0;var P=GK.modHalf(p[0],360),T=p[1],F=s.project([P,T]),q=F.x-a.c2p([v,T]),V=F.y-o.c2p([P,r]),H=Math.max(3,M.mrc||0);return Math.max(Math.sqrt(q*q+V*V)-H,1-3/H)}if(fHt.getClosest(n,x,e),e.index!==!1){var b=n[e.index],g=b.lonlat,E=[GK.modHalf(g[0],360)+d,g[1]],k=a.c2p(E),A=o.c2p(E),L=b.mrc||1;e.x0=k-L,e.x1=k+L,e.y0=A-L,e.y1=A+L;var _={};_[i.subplot]={_subplot:s};var C=i._module.formatLabels(b,i,_);return e.lonLabel=C.lonLabel,e.latLabel=C.latLabel,e.color=hHt(i,b),e.extraText=RUe(i,b,n[0].t.labels),e.hovertemplate=i.hovertemplate,[e]}}function RUe(e,t,r){if(e.hovertemplate)return;var n=t.hi||e.hoverinfo,i=n.split(\"+\"),a=i.indexOf(\"all\")!==-1,o=i.indexOf(\"lon\")!==-1,s=i.indexOf(\"lat\")!==-1,l=t.lonlat,u=[];function c(f){return f+\"\\xB0\"}return a||o&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):o?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(a||i.indexOf(\"text\")!==-1)&&dHt(t,e,u),u.join(\"
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I=(m&7)<<4;y.buf[y.pos++]|=I|((m>>>=3)?128:0),m&&(y.buf[y.pos++]=m&127|((m>>>=7)?128:0),m&&(y.buf[y.pos++]=m&127|((m>>>=7)?128:0),m&&(y.buf[y.pos++]=m&127|((m>>>=7)?128:0),m&&(y.buf[y.pos++]=m&127|((m>>>=7)?128:0),m&&(y.buf[y.pos++]=m&127)))))}function $v(m,y,I){var U=y<=16383?1:y<=2097151?2:y<=268435455?3:Math.floor(Math.log(y)/(Math.LN2*7));I.realloc(U);for(var J=I.pos-1;J>=m;J--)I.buf[J+U]=I.buf[J]}function td(m,y){for(var I=0;I>>8,m[I+2]=y>>>16,m[I+3]=y>>>24}function Iv(m,y){return(m[y]|m[y+1]<<8|m[y+2]<<16)+(m[y+3]<<24)}function lv(m,y,I){for(var U=\"\",J=y;J239?4:ne>223?3:ne>191?2:1;if(J+Fe>I)break;var 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jf=function(y,I){y&&(I?this.setSouthWest(y).setNorthEast(I):y.length===4?this.setSouthWest([y[0],y[1]]).setNorthEast([y[2],y[3]]):this.setSouthWest(y[0]).setNorthEast(y[1]))};jf.prototype.setNorthEast=function(y){return this._ne=y instanceof sc?new sc(y.lng,y.lat):sc.convert(y),this},jf.prototype.setSouthWest=function(y){return this._sw=y instanceof sc?new sc(y.lng,y.lat):sc.convert(y),this},jf.prototype.extend=function(y){var I=this._sw,U=this._ne,J,ne;if(y instanceof sc)J=y,ne=y;else if(y instanceof jf){if(J=y._sw,ne=y._ne,!J||!ne)return this}else{if(Array.isArray(y))if(y.length===4||y.every(Array.isArray)){var fe=y;return this.extend(jf.convert(fe))}else{var Fe=y;return this.extend(sc.convert(Fe))}return this}return!I&&!U?(this._sw=new sc(J.lng,J.lat),this._ne=new sc(ne.lng,ne.lat)):(I.lng=Math.min(J.lng,I.lng),I.lat=Math.min(J.lat,I.lat),U.lng=Math.max(ne.lng,U.lng),U.lat=Math.max(ne.lat,U.lat)),this},jf.prototype.getCenter=function(){return new sc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},jf.prototype.getSouthWest=function(){return this._sw},jf.prototype.getNorthEast=function(){return this._ne},jf.prototype.getNorthWest=function(){return new sc(this.getWest(),this.getNorth())},jf.prototype.getSouthEast=function(){return new sc(this.getEast(),this.getSouth())},jf.prototype.getWest=function(){return this._sw.lng},jf.prototype.getSouth=function(){return this._sw.lat},jf.prototype.getEast=function(){return this._ne.lng},jf.prototype.getNorth=function(){return this._ne.lat},jf.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},jf.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},jf.prototype.isEmpty=function(){return!(this._sw&&this._ne)},jf.prototype.contains=function(y){var I=sc.convert(y),U=I.lng,J=I.lat,ne=this._sw.lat<=J&&J<=this._ne.lat,fe=this._sw.lng<=U&&U<=this._ne.lng;return 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sc(this.lng+J,this.lat+U))},sc.convert=function(y){if(y instanceof sc)return y;if(Array.isArray(y)&&(y.length===2||y.length===3))return new sc(Number(y[0]),Number(y[1]));if(!Array.isArray(y)&&typeof y==\"object\"&&y!==null)return new sc(Number(\"lng\"in y?y.lng:y.lon),Number(y.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};var FQ=2*Math.PI*zQ;function qQ(m){return FQ*Math.cos(m*Math.PI/180)}function OQ(m){return(180+m)/360}function BQ(m){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+m*Math.PI/360)))/360}function NQ(m,y){return m/qQ(y)}function MQe(m){return m*360-180}function lq(m){var y=180-m*360;return 360/Math.PI*Math.atan(Math.exp(y*Math.PI/180))-90}function EQe(m,y){return m*qQ(lq(y))}function kQe(m){return 1/Math.cos(m*Math.PI/180)}var ib=function(y,I,U){U===void 0&&(U=0),this.x=+y,this.y=+I,this.z=+U};ib.fromLngLat=function(y,I){I===void 0&&(I=0);var U=sc.convert(y);return new ib(OQ(U.lng),BQ(U.lat),NQ(I,U.lat))},ib.prototype.toLngLat=function(){return new sc(MQe(this.x),lq(this.y))},ib.prototype.toAltitude=function(){return EQe(this.z,this.y)},ib.prototype.meterInMercatorCoordinateUnits=function(){return 1/FQ*kQe(lq(this.y))};var nb=function(y,I,U){this.z=y,this.x=I,this.y=U,this.key=SS(0,y,y,I,U)};nb.prototype.equals=function(y){return this.z===y.z&&this.x===y.x&&this.y===y.y},nb.prototype.url=function(y,I){var U=SQe(this.x,this.y,this.z),J=CQe(this.z,this.x,this.y);return y[(this.x+this.y)%y.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(I===\"tms\"?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",J).replace(\"{bbox-epsg-3857}\",U)},nb.prototype.getTilePoint=function(y){var I=Math.pow(2,this.z);return new u((y.x*I-this.x)*rn,(y.y*I-this.y)*rn)},nb.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var UQ=function(y,I){this.wrap=y,this.canonical=I,this.key=SS(y,I.z,I.z,I.x,I.y)},Wf=function(y,I,U,J,ne){this.overscaledZ=y,this.wrap=I,this.canonical=new nb(U,+J,+ne),this.key=SS(I,y,U,J,ne)};Wf.prototype.equals=function(y){return this.overscaledZ===y.overscaledZ&&this.wrap===y.wrap&&this.canonical.equals(y.canonical)},Wf.prototype.scaledTo=function(y){var I=this.canonical.z-y;return y>this.canonical.z?new Wf(y,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Wf(y,this.wrap,y,this.canonical.x>>I,this.canonical.y>>I)},Wf.prototype.calculateScaledKey=function(y,I){var U=this.canonical.z-y;return y>this.canonical.z?SS(this.wrap*+I,y,this.canonical.z,this.canonical.x,this.canonical.y):SS(this.wrap*+I,y,y,this.canonical.x>>U,this.canonical.y>>U)},Wf.prototype.isChildOf=function(y){if(y.wrap!==this.wrap)return!1;var I=this.canonical.z-y.canonical.z;return y.overscaledZ===0||y.overscaledZ>I&&y.canonical.y===this.canonical.y>>I},Wf.prototype.children=function(y){if(this.overscaledZ>=y)return[new Wf(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var I=this.canonical.z+1,U=this.canonical.x*2,J=this.canonical.y*2;return[new Wf(I,this.wrap,I,U,J),new Wf(I,this.wrap,I,U+1,J),new Wf(I,this.wrap,I,U,J+1),new Wf(I,this.wrap,I,U+1,J+1)]},Wf.prototype.isLessThan=function(y){return this.wrapy.wrap?!1:this.overscaledZy.overscaledZ?!1:this.canonical.xy.canonical.x?!1:this.canonical.y0;ne--)J=1<=this.dim+1||I<-1||I>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(I+1)*this.stride+(y+1)},dy.prototype._unpackMapbox=function(y,I,U){return(y*256*256+I*256+U)/10-1e4},dy.prototype._unpackTerrarium=function(y,I,U){return y*256+I+U/256-32768},dy.prototype.getPixels=function(){return new lh({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},dy.prototype.backfillBorder=function(y,I,U){if(this.dim!==y.dim)throw new Error(\"dem dimension mismatch\");var J=I*this.dim,ne=I*this.dim+this.dim,fe=U*this.dim,Fe=U*this.dim+this.dim;switch(I){case-1:J=ne-1;break;case 1:ne=J+1;break}switch(U){case-1:fe=Fe-1;break;case 1:Fe=fe+1;break}for(var Qe=-I*this.dim,st=-U*this.dim,mt=fe;mt=0&&Xt[3]>=0&&Qe.insert(Fe,Xt[0],Xt[1],Xt[2],Xt[3])}},vy.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new pg.VectorTile(new La(this.rawTileData)).layers,this.sourceLayerCoder=new ZC(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},vy.prototype.query=function(y,I,U,J){var ne=this;this.loadVTLayers();for(var fe=y.params||{},Fe=rn/y.tileSize/y.scale,Qe=be(fe.filter),st=y.queryGeometry,mt=y.queryPadding*Fe,Xt=HQ(st),ur=this.grid.query(Xt.minX-mt,Xt.minY-mt,Xt.maxX+mt,Xt.maxY+mt),nr=HQ(y.cameraQueryGeometry),Lr=this.grid3D.query(nr.minX-mt,nr.minY-mt,nr.maxX+mt,nr.maxY+mt,function(An,ra,$n,Ba){return pp(y.cameraQueryGeometry,An-mt,ra-mt,$n+mt,Ba+mt)}),Yr=0,_i=Lr;Yr<_i.length;Yr+=1){var si=_i[Yr];ur.push(si)}ur.sort(PQe);for(var Hi={},Ei,Vi=function(An){var ra=ur[An];if(ra!==Ei){Ei=ra;var $n=ne.featureIndexArray.get(ra),Ba=null;ne.loadMatchingFeature(Hi,$n.bucketIndex,$n.sourceLayerIndex,$n.featureIndex,Qe,fe.layers,fe.availableImages,I,U,J,function(_a,Pa,qo){return Ba||(Ba=da(_a)),Pa.queryIntersectsFeature(st,_a,qo,Ba,ne.z,y.transform,Fe,y.pixelPosMatrix)})}},en=0;enJ)ne=!1;else if(!I)ne=!0;else if(this.expirationTime=Ha.maxzoom)&&Ha.visibility!==\"none\"){h(Sn,this.zoom,Zt);var oo=Si[Ha.id]=Ha.createBucket({index:gi.bucketLayerIDs.length,layers:Sn,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:ka,sourceID:this.source});oo.populate(jn,Mi,this.tileID.canonical),gi.bucketLayerIDs.push(Sn.map(function(hi){return hi.id}))}}}}var xn,_t,br,Hr,ti=i.mapObject(Mi.glyphDependencies,function(hi){return Object.keys(hi).map(Number)});Object.keys(ti).length?yr.send(\"getGlyphs\",{uid:this.uid,stacks:ti},function(hi,Ji){xn||(xn=hi,_t=Ji,an.call(Zr))}):_t={};var zi=Object.keys(Mi.iconDependencies);zi.length?yr.send(\"getImages\",{icons:zi,source:this.source,tileID:this.tileID,type:\"icons\"},function(hi,Ji){xn||(xn=hi,br=Ji,an.call(Zr))}):br={};var Yi=Object.keys(Mi.patternDependencies);Yi.length?yr.send(\"getImages\",{icons:Yi,source:this.source,tileID:this.tileID,type:\"patterns\"},function(hi,Ji){xn||(xn=hi,Hr=Ji,an.call(Zr))}):Hr={},an.call(this);function an(){if(xn)return Fr(xn);if(_t&&br&&Hr){var hi=new c(_t),Ji=new i.ImageAtlas(br,Hr);for(var ua in Si){var Fn=Si[ua];Fn instanceof i.SymbolBucket?(h(Fn.layers,this.zoom,Zt),i.performSymbolLayout(Fn,_t,hi.positions,br,Ji.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):Fn.hasPattern&&(Fn instanceof i.LineBucket||Fn instanceof i.FillBucket||Fn instanceof i.FillExtrusionBucket)&&(h(Fn.layers,this.zoom,Zt),Fn.addFeatures(Mi,this.tileID.canonical,Ji.patternPositions))}this.status=\"done\",Fr(null,{buckets:i.values(Si).filter(function(Sa){return!Sa.isEmpty()}),featureIndex:gi,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:hi.image,imageAtlas:Ji,glyphMap:this.returnDependencies?_t:null,iconMap:this.returnDependencies?br:null,glyphPositions:this.returnDependencies?hi.positions:null})}}};function h(It,ft,jt){for(var Zt=new i.EvaluationParameters(ft),yr=0,Fr=It;yr=0!=!!ft&&It.reverse()}var L=i.vectorTile.VectorTileFeature.prototype.toGeoJSON,_=function(ft){this._feature=ft,this.extent=i.EXTENT,this.type=ft.type,this.properties=ft.tags,\"id\"in ft&&!isNaN(ft.id)&&(this.id=parseInt(ft.id,10))};_.prototype.loadGeometry=function(){if(this._feature.type===1){for(var ft=[],jt=0,Zt=this._feature.geometry;jt>31}function ke(It,ft){for(var jt=It.loadGeometry(),Zt=It.type,yr=0,Fr=0,Zr=jt.length,Vr=0;Vr>1;Te(It,ft,Zr,Zt,yr,Fr%2),ie(It,ft,jt,Zt,Zr-1,Fr+1),ie(It,ft,jt,Zr+1,yr,Fr+1)}}function Te(It,ft,jt,Zt,yr,Fr){for(;yr>Zt;){if(yr-Zt>600){var Zr=yr-Zt+1,Vr=jt-Zt+1,gi=Math.log(Zr),Si=.5*Math.exp(2*gi/3),Mi=.5*Math.sqrt(gi*Si*(Zr-Si)/Zr)*(Vr-Zr/2<0?-1:1),Pi=Math.max(Zt,Math.floor(jt-Vr*Si/Zr+Mi)),Gi=Math.min(yr,Math.floor(jt+(Zr-Vr)*Si/Zr+Mi));Te(It,ft,jt,Pi,Gi,Fr)}var Ki=ft[2*jt+Fr],ka=Zt,jn=yr;for(Ee(It,ft,Zt,jt),ft[2*yr+Fr]>Ki&&Ee(It,ft,Zt,yr);kaKi;)jn--}ft[2*Zt+Fr]===Ki?Ee(It,ft,Zt,jn):(jn++,Ee(It,ft,jn,yr)),jn<=jt&&(Zt=jn+1),jt<=jn&&(yr=jn-1)}}function Ee(It,ft,jt,Zt){Ae(It,jt,Zt),Ae(ft,2*jt,2*Zt),Ae(ft,2*jt+1,2*Zt+1)}function Ae(It,ft,jt){var Zt=It[ft];It[ft]=It[jt],It[jt]=Zt}function ze(It,ft,jt,Zt,yr,Fr,Zr){for(var Vr=[0,It.length-1,0],gi=[],Si,Mi;Vr.length;){var Pi=Vr.pop(),Gi=Vr.pop(),Ki=Vr.pop();if(Gi-Ki<=Zr){for(var ka=Ki;ka<=Gi;ka++)Si=ft[2*ka],Mi=ft[2*ka+1],Si>=jt&&Si<=yr&&Mi>=Zt&&Mi<=Fr&&gi.push(It[ka]);continue}var jn=Math.floor((Ki+Gi)/2);Si=ft[2*jn],Mi=ft[2*jn+1],Si>=jt&&Si<=yr&&Mi>=Zt&&Mi<=Fr&&gi.push(It[jn]);var la=(Pi+1)%2;(Pi===0?jt<=Si:Zt<=Mi)&&(Vr.push(Ki),Vr.push(jn-1),Vr.push(la)),(Pi===0?yr>=Si:Fr>=Mi)&&(Vr.push(jn+1),Vr.push(Gi),Vr.push(la))}return gi}function Ce(It,ft,jt,Zt,yr,Fr){for(var Zr=[0,It.length-1,0],Vr=[],gi=yr*yr;Zr.length;){var Si=Zr.pop(),Mi=Zr.pop(),Pi=Zr.pop();if(Mi-Pi<=Fr){for(var Gi=Pi;Gi<=Mi;Gi++)me(ft[2*Gi],ft[2*Gi+1],jt,Zt)<=gi&&Vr.push(It[Gi]);continue}var Ki=Math.floor((Pi+Mi)/2),ka=ft[2*Ki],jn=ft[2*Ki+1];me(ka,jn,jt,Zt)<=gi&&Vr.push(It[Ki]);var la=(Si+1)%2;(Si===0?jt-yr<=ka:Zt-yr<=jn)&&(Zr.push(Pi),Zr.push(Ki-1),Zr.push(la)),(Si===0?jt+yr>=ka:Zt+yr>=jn)&&(Zr.push(Ki+1),Zr.push(Mi),Zr.push(la))}return Vr}function me(It,ft,jt,Zt){var yr=It-jt,Fr=ft-Zt;return yr*yr+Fr*Fr}var Re=function(It){return It[0]},ce=function(It){return It[1]},Ge=function(ft,jt,Zt,yr,Fr){jt===void 0&&(jt=Re),Zt===void 0&&(Zt=ce),yr===void 0&&(yr=64),Fr===void 0&&(Fr=Float64Array),this.nodeSize=yr,this.points=ft;for(var Zr=ft.length<65536?Uint16Array:Uint32Array,Vr=this.ids=new Zr(ft.length),gi=this.coords=new Fr(ft.length*2),Si=0;Si=yr;Mi--){var Pi=+Date.now();gi=this._cluster(gi,Mi),this.trees[Mi]=new Ge(gi,Ke,xt,Zr,Float32Array),Zt&&console.log(\"z%d: %d clusters in %dms\",Mi,gi.length,+Date.now()-Pi)}return Zt&&console.timeEnd(\"total time\"),this},ct.prototype.getClusters=function(ft,jt){var Zt=((ft[0]+180)%360+360)%360-180,yr=Math.max(-90,Math.min(90,ft[1])),Fr=ft[2]===180?180:((ft[2]+180)%360+360)%360-180,Zr=Math.max(-90,Math.min(90,ft[3]));if(ft[2]-ft[0]>=360)Zt=-180,Fr=180;else if(Zt>Fr){var Vr=this.getClusters([Zt,yr,180,Zr],jt),gi=this.getClusters([-180,yr,Fr,Zr],jt);return Vr.concat(gi)}for(var Si=this.trees[this._limitZoom(jt)],Mi=Si.range(kt(Zt),Ct(Zr),kt(Fr),Ct(yr)),Pi=[],Gi=0,Ki=Mi;Gijt&&(jn+=jo.numPoints||1)}if(jn>=gi){for(var oa=Pi.x*ka,Sn=Pi.y*ka,Ha=Vr&&ka>1?this._map(Pi,!0):null,oo=(Mi<<5)+(jt+1)+this.points.length,xn=0,_t=Ki;xn<_t.length;xn+=1){var br=_t[xn],Hr=Gi.points[br];if(!(Hr.zoom<=jt)){Hr.zoom=jt;var ti=Hr.numPoints||1;oa+=Hr.x*ti,Sn+=Hr.y*ti,Hr.parentId=oo,Vr&&(Ha||(Ha=this._map(Pi,!0)),Vr(Ha,this._map(Hr)))}}Pi.parentId=oo,Zt.push(qt(oa/jn,Sn/jn,oo,jn,Ha))}else if(Zt.push(Pi),jn>1)for(var zi=0,Yi=Ki;zi>5},ct.prototype._getOriginZoom=function(ft){return(ft-this.points.length)%32},ct.prototype._map=function(ft,jt){if(ft.numPoints)return jt?er({},ft.properties):ft.properties;var Zt=this.points[ft.index].properties,yr=this.options.map(Zt);return jt&&yr===Zt?er({},yr):yr};function qt(It,ft,jt,Zt,yr){return{x:It,y:ft,zoom:1/0,id:jt,parentId:-1,numPoints:Zt,properties:yr}}function rt(It,ft){var jt=It.geometry.coordinates,Zt=jt[0],yr=jt[1];return{x:kt(Zt),y:Ct(yr),zoom:1/0,index:ft,parentId:-1}}function ot(It){return{type:\"Feature\",id:It.id,properties:Rt(It),geometry:{type:\"Point\",coordinates:[Yt(It.x),xr(It.y)]}}}function Rt(It){var ft=It.numPoints,jt=ft>=1e4?Math.round(ft/1e3)+\"k\":ft>=1e3?Math.round(ft/100)/10+\"k\":ft;return er(er({},It.properties),{cluster:!0,cluster_id:It.id,point_count:ft,point_count_abbreviated:jt})}function kt(It){return It/360+.5}function Ct(It){var ft=Math.sin(It*Math.PI/180),jt=.5-.25*Math.log((1+ft)/(1-ft))/Math.PI;return jt<0?0:jt>1?1:jt}function Yt(It){return(It-.5)*360}function xr(It){var ft=(180-It*360)*Math.PI/180;return 360*Math.atan(Math.exp(ft))/Math.PI-90}function er(It,ft){for(var jt in ft)It[jt]=ft[jt];return It}function Ke(It){return It.x}function xt(It){return It.y}function bt(It,ft,jt,Zt){for(var yr=Zt,Fr=jt-ft>>1,Zr=jt-ft,Vr,gi=It[ft],Si=It[ft+1],Mi=It[jt],Pi=It[jt+1],Gi=ft+3;Giyr)Vr=Gi,yr=Ki;else if(Ki===yr){var ka=Math.abs(Gi-Fr);kaZt&&(Vr-ft>3&&bt(It,ft,Vr,Zt),It[Vr+2]=yr,jt-Vr>3&&bt(It,Vr,jt,Zt))}function Lt(It,ft,jt,Zt,yr,Fr){var Zr=yr-jt,Vr=Fr-Zt;if(Zr!==0||Vr!==0){var gi=((It-jt)*Zr+(ft-Zt)*Vr)/(Zr*Zr+Vr*Vr);gi>1?(jt=yr,Zt=Fr):gi>0&&(jt+=Zr*gi,Zt+=Vr*gi)}return Zr=It-jt,Vr=ft-Zt,Zr*Zr+Vr*Vr}function St(It,ft,jt,Zt){var yr={id:typeof It==\"undefined\"?null:It,type:ft,geometry:jt,tags:Zt,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return Et(yr),yr}function Et(It){var ft=It.geometry,jt=It.type;if(jt===\"Point\"||jt===\"MultiPoint\"||jt===\"LineString\")dt(It,ft);else if(jt===\"Polygon\"||jt===\"MultiLineString\")for(var Zt=0;Zt0&&(Zt?Zr+=(yr*Si-gi*Fr)/2:Zr+=Math.sqrt(Math.pow(gi-yr,2)+Math.pow(Si-Fr,2))),yr=gi,Fr=Si}var Mi=ft.length-3;ft[2]=1,bt(ft,0,Mi,jt),ft[Mi+2]=1,ft.size=Math.abs(Zr),ft.start=0,ft.end=ft.size}function Br(It,ft,jt,Zt){for(var yr=0;yr1?1:jt}function ut(It,ft,jt,Zt,yr,Fr,Zr,Vr){if(jt/=ft,Zt/=ft,Fr>=jt&&Zr=Zt)return null;for(var gi=[],Si=0;Si=jt&&ka=Zt)continue;var jn=[];if(Gi===\"Point\"||Gi===\"MultiPoint\")Ne(Pi,jn,jt,Zt,yr);else if(Gi===\"LineString\")Ye(Pi,jn,jt,Zt,yr,!1,Vr.lineMetrics);else if(Gi===\"MultiLineString\")Xe(Pi,jn,jt,Zt,yr,!1);else if(Gi===\"Polygon\")Xe(Pi,jn,jt,Zt,yr,!0);else if(Gi===\"MultiPolygon\")for(var la=0;la=jt&&Zr<=Zt&&(ft.push(It[Fr]),ft.push(It[Fr+1]),ft.push(It[Fr+2]))}}function Ye(It,ft,jt,Zt,yr,Fr,Zr){for(var Vr=Ve(It),gi=yr===0?Le:xe,Si=It.start,Mi,Pi,Gi=0;Gijt&&(Pi=gi(Vr,Ki,ka,la,Fa,jt),Zr&&(Vr.start=Si+Mi*Pi)):Ra>Zt?jo=jt&&(Pi=gi(Vr,Ki,ka,la,Fa,jt),oa=!0),jo>Zt&&Ra<=Zt&&(Pi=gi(Vr,Ki,ka,la,Fa,Zt),oa=!0),!Fr&&oa&&(Zr&&(Vr.end=Si+Mi*Pi),ft.push(Vr),Vr=Ve(It)),Zr&&(Si+=Mi)}var Sn=It.length-3;Ki=It[Sn],ka=It[Sn+1],jn=It[Sn+2],Ra=yr===0?Ki:ka,Ra>=jt&&Ra<=Zt&&ht(Vr,Ki,ka,jn),Sn=Vr.length-3,Fr&&Sn>=3&&(Vr[Sn]!==Vr[0]||Vr[Sn+1]!==Vr[1])&&ht(Vr,Vr[0],Vr[1],Vr[2]),Vr.length&&ft.push(Vr)}function Ve(It){var ft=[];return ft.size=It.size,ft.start=It.start,ft.end=It.end,ft}function Xe(It,ft,jt,Zt,yr,Fr){for(var Zr=0;ZrZr.maxX&&(Zr.maxX=Mi),Pi>Zr.maxY&&(Zr.maxY=Pi)}return Zr}function ai(It,ft,jt,Zt){var yr=ft.geometry,Fr=ft.type,Zr=[];if(Fr===\"Point\"||Fr===\"MultiPoint\")for(var Vr=0;Vr0&&ft.size<(yr?Zr:Zt)){jt.numPoints+=ft.length/3;return}for(var Vr=[],gi=0;giZr)&&(jt.numSimplified++,Vr.push(ft[gi]),Vr.push(ft[gi+1])),jt.numPoints++;yr&&ri(Vr,Fr),It.push(Vr)}function ri(It,ft){for(var jt=0,Zt=0,yr=It.length,Fr=yr-2;Zt0===ft)for(Zt=0,yr=It.length;Zt24)throw new Error(\"maxZoom should be in the 0-24 range\");if(ft.promoteId&&ft.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var Zt=Ht(It,ft);this.tiles={},this.tileCoords=[],jt&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",ft.indexMaxZoom,ft.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),Zt=Se(Zt,ft),Zt.length&&this.splitTile(Zt,0,0,0),jt&&(Zt.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}nn.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},nn.prototype.splitTile=function(It,ft,jt,Zt,yr,Fr,Zr){for(var Vr=[It,ft,jt,Zt],gi=this.options,Si=gi.debug;Vr.length;){Zt=Vr.pop(),jt=Vr.pop(),ft=Vr.pop(),It=Vr.pop();var Mi=1<1&&console.time(\"creation\"),Gi=this.tiles[Pi]=Qr(It,ft,jt,Zt,gi),this.tileCoords.push({z:ft,x:jt,y:Zt}),Si)){Si>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",ft,jt,Zt,Gi.numFeatures,Gi.numPoints,Gi.numSimplified),console.timeEnd(\"creation\"));var Ki=\"z\"+ft;this.stats[Ki]=(this.stats[Ki]||0)+1,this.total++}if(Gi.source=It,yr){if(ft===gi.maxZoom||ft===yr)continue;var ka=1<1&&console.time(\"clipping\");var jn=.5*gi.buffer/gi.extent,la=.5-jn,Fa=.5+jn,Ra=1+jn,jo,oa,Sn,Ha,oo,xn;jo=oa=Sn=Ha=null,oo=ut(It,Mi,jt-jn,jt+Fa,0,Gi.minX,Gi.maxX,gi),xn=ut(It,Mi,jt+la,jt+Ra,0,Gi.minX,Gi.maxX,gi),It=null,oo&&(jo=ut(oo,Mi,Zt-jn,Zt+Fa,1,Gi.minY,Gi.maxY,gi),oa=ut(oo,Mi,Zt+la,Zt+Ra,1,Gi.minY,Gi.maxY,gi),oo=null),xn&&(Sn=ut(xn,Mi,Zt-jn,Zt+Fa,1,Gi.minY,Gi.maxY,gi),Ha=ut(xn,Mi,Zt+la,Zt+Ra,1,Gi.minY,Gi.maxY,gi),xn=null),Si>1&&console.timeEnd(\"clipping\"),Vr.push(jo||[],ft+1,jt*2,Zt*2),Vr.push(oa||[],ft+1,jt*2,Zt*2+1),Vr.push(Sn||[],ft+1,jt*2+1,Zt*2),Vr.push(Ha||[],ft+1,jt*2+1,Zt*2+1)}}},nn.prototype.getTile=function(It,ft,jt){var Zt=this.options,yr=Zt.extent,Fr=Zt.debug;if(It<0||It>24)return null;var Zr=1<1&&console.log(\"drilling down to z%d-%d-%d\",It,ft,jt);for(var gi=It,Si=ft,Mi=jt,Pi;!Pi&&gi>0;)gi--,Si=Math.floor(Si/2),Mi=Math.floor(Mi/2),Pi=this.tiles[Wi(gi,Si,Mi)];return!Pi||!Pi.source?null:(Fr>1&&console.log(\"found parent tile z%d-%d-%d\",gi,Si,Mi),Fr>1&&console.time(\"drilling down\"),this.splitTile(Pi.source,gi,Si,Mi,It,ft,jt),Fr>1&&console.timeEnd(\"drilling down\"),this.tiles[Vr]?Vt(this.tiles[Vr],yr):null)};function Wi(It,ft,jt){return((1<=0?0:Y.button},o.remove=function(Y){Y.parentNode&&Y.parentNode.removeChild(Y)};function x(Y,z,K){var O,$,pe,de=i.browser.devicePixelRatio>1?\"@2x\":\"\",Ie=i.getJSON(z.transformRequest(z.normalizeSpriteURL(Y,de,\".json\"),i.ResourceType.SpriteJSON),function(Kt,ir){Ie=null,pe||(pe=Kt,O=ir,pt())}),$e=i.getImage(z.transformRequest(z.normalizeSpriteURL(Y,de,\".png\"),i.ResourceType.SpriteImage),function(Kt,ir){$e=null,pe||(pe=Kt,$=ir,pt())});function pt(){if(pe)K(pe);else if(O&&$){var Kt=i.browser.getImageData($),ir={};for(var Jt in O){var vt=O[Jt],Pt=vt.width,Wt=vt.height,rr=vt.x,dr=vt.y,pr=vt.sdf,kr=vt.pixelRatio,Ar=vt.stretchX,gr=vt.stretchY,Cr=vt.content,cr=new i.RGBAImage({width:Pt,height:Wt});i.RGBAImage.copy(Kt,cr,{x:rr,y:dr},{x:0,y:0},{width:Pt,height:Wt}),ir[Jt]={data:cr,pixelRatio:kr,sdf:pr,stretchX:Ar,stretchY:gr,content:Cr}}K(null,ir)}}return{cancel:function(){Ie&&(Ie.cancel(),Ie=null),$e&&($e.cancel(),$e=null)}}}function b(Y){var z=Y.userImage;if(z&&z.render){var K=z.render();if(K)return Y.data.replace(new Uint8Array(z.data.buffer)),!0}return!1}var g=1,E=function(Y){function z(){Y.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new i.RGBAImage({width:1,height:1}),this.dirty=!0}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.isLoaded=function(){return this.loaded},z.prototype.setLoaded=function(O){if(this.loaded!==O&&(this.loaded=O,O)){for(var $=0,pe=this.requestors;$=0?1.2:1))}C.prototype.draw=function(Y){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(Y,this.buffer,this.middle);for(var z=this.ctx.getImageData(0,0,this.size,this.size),K=new Uint8ClampedArray(this.size*this.size),O=0;O65535){Kt(new Error(\"glyphs > 65535 not supported\"));return}if(vt.ranges[Wt]){Kt(null,{stack:ir,id:Jt,glyph:Pt});return}var rr=vt.requests[Wt];rr||(rr=vt.requests[Wt]=[],P.loadGlyphRange(ir,Wt,O.url,O.requestManager,function(dr,pr){if(pr){for(var kr in pr)O._doesCharSupportLocalGlyph(+kr)||(vt.glyphs[+kr]=pr[+kr]);vt.ranges[Wt]=!0}for(var Ar=0,gr=rr;Ar1&&(pt=z[++$e]);var ir=Math.abs(Kt-pt.left),Jt=Math.abs(Kt-pt.right),vt=Math.min(ir,Jt),Pt=void 0,Wt=pe/O*($+1);if(pt.isDash){var rr=$-Math.abs(Wt);Pt=Math.sqrt(vt*vt+rr*rr)}else Pt=$-Math.sqrt(vt*vt+Wt*Wt);this.data[Ie+Kt]=Math.max(0,Math.min(255,Pt+128))}},H.prototype.addRegularDash=function(z){for(var K=z.length-1;K>=0;--K){var O=z[K],$=z[K+1];O.zeroLength?z.splice(K,1):$&&$.isDash===O.isDash&&($.left=O.left,z.splice(K,1))}var pe=z[0],de=z[z.length-1];pe.isDash===de.isDash&&(pe.left=de.left-this.width,de.right=pe.right+this.width);for(var Ie=this.width*this.nextRow,$e=0,pt=z[$e],Kt=0;Kt1&&(pt=z[++$e]);var ir=Math.abs(Kt-pt.left),Jt=Math.abs(Kt-pt.right),vt=Math.min(ir,Jt),Pt=pt.isDash?vt:-vt;this.data[Ie+Kt]=Math.max(0,Math.min(255,Pt+128))}},H.prototype.addDash=function(z,K){var O=K?7:0,$=2*O+1;if(this.nextRow+$>this.height)return i.warnOnce(\"LineAtlas out of space\"),null;for(var pe=0,de=0;de=O.minX&&z.x=O.minY&&z.y0&&(Kt[new i.OverscaledTileID(O.overscaledZ,Ie,$.z,de,$.y-1).key]={backfilled:!1},Kt[new i.OverscaledTileID(O.overscaledZ,O.wrap,$.z,$.x,$.y-1).key]={backfilled:!1},Kt[new i.OverscaledTileID(O.overscaledZ,pt,$.z,$e,$.y-1).key]={backfilled:!1}),$.y+10&&(pe.resourceTiming=O._resourceTiming,O._resourceTiming=[]),O.fire(new i.Event(\"data\",pe))})},z.prototype.onAdd=function(O){this.map=O,this.load()},z.prototype.setData=function(O){var $=this;return this._data=O,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(pe){if(pe){$.fire(new i.ErrorEvent(pe));return}var de={dataType:\"source\",sourceDataType:\"content\"};$._collectResourceTiming&&$._resourceTiming&&$._resourceTiming.length>0&&(de.resourceTiming=$._resourceTiming,$._resourceTiming=[]),$.fire(new i.Event(\"data\",de))}),this},z.prototype.getClusterExpansionZoom=function(O,$){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:O,source:this.id},$),this},z.prototype.getClusterChildren=function(O,$){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:O,source:this.id},$),this},z.prototype.getClusterLeaves=function(O,$,pe,de){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:O,limit:$,offset:pe},de),this},z.prototype._updateWorkerData=function(O){var $=this;this._loaded=!1;var pe=i.extend({},this.workerOptions),de=this._data;typeof de==\"string\"?(pe.request=this.map._requestManager.transformRequest(i.browser.resolveURL(de),i.ResourceType.Source),pe.request.collectResourceTiming=this._collectResourceTiming):pe.data=JSON.stringify(de),this.actor.send(this.type+\".loadData\",pe,function(Ie,$e){$._removed||$e&&$e.abandoned||($._loaded=!0,$e&&$e.resourceTiming&&$e.resourceTiming[$.id]&&($._resourceTiming=$e.resourceTiming[$.id].slice(0)),$.actor.send($.type+\".coalesce\",{source:pe.source},null),O(Ie))})},z.prototype.loaded=function(){return this._loaded},z.prototype.loadTile=function(O,$){var pe=this,de=O.actor?\"reloadTile\":\"loadTile\";O.actor=this.actor;var Ie={type:this.type,uid:O.uid,tileID:O.tileID,zoom:O.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:i.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};O.request=this.actor.send(de,Ie,function($e,pt){return delete O.request,O.unloadVectorData(),O.aborted?$(null):$e?$($e):(O.loadVectorData(pt,pe.map.painter,de===\"reloadTile\"),$(null))})},z.prototype.abortTile=function(O){O.request&&(O.request.cancel(),delete O.request),O.aborted=!0},z.prototype.unloadTile=function(O){O.unloadVectorData(),this.actor.send(\"removeTile\",{uid:O.uid,type:this.type,source:this.id})},z.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},z.prototype.serialize=function(){return i.extend({},this._options,{type:this.type,data:this._data})},z.prototype.hasTransition=function(){return!1},z}(i.Evented),Me=i.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),ke=function(Y){function z(K,O,$,pe){Y.call(this),this.id=K,this.dispatcher=$,this.coordinates=O.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(pe),this.options=O}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.load=function(O,$){var pe=this;this._loaded=!1,this.fire(new i.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,i.getImage(this.map._requestManager.transformRequest(this.url,i.ResourceType.Image),function(de,Ie){pe._loaded=!0,de?pe.fire(new i.ErrorEvent(de)):Ie&&(pe.image=Ie,O&&(pe.coordinates=O),$&&$(),pe._finishLoading())})},z.prototype.loaded=function(){return this._loaded},z.prototype.updateImage=function(O){var $=this;return!this.image||!O.url?this:(this.options.url=O.url,this.load(O.coordinates,function(){$.texture=null}),this)},z.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},z.prototype.onAdd=function(O){this.map=O,this.load()},z.prototype.setCoordinates=function(O){var $=this;this.coordinates=O;var pe=O.map(i.MercatorCoordinate.fromLngLat);this.tileID=ge(pe),this.minzoom=this.maxzoom=this.tileID.z;var de=pe.map(function(Ie){return $.tileID.getTilePoint(Ie)._round()});return this._boundsArray=new i.StructArrayLayout4i8,this._boundsArray.emplaceBack(de[0].x,de[0].y,0,0),this._boundsArray.emplaceBack(de[1].x,de[1].y,i.EXTENT,0),this._boundsArray.emplaceBack(de[3].x,de[3].y,0,i.EXTENT),this._boundsArray.emplaceBack(de[2].x,de[2].y,i.EXTENT,i.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new i.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},z.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||!this.image)){var O=this.map.painter.context,$=O.gl;this.boundsBuffer||(this.boundsBuffer=O.createVertexBuffer(this._boundsArray,Me.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new i.Texture(O,this.image,$.RGBA),this.texture.bind($.LINEAR,$.CLAMP_TO_EDGE));for(var pe in this.tiles){var de=this.tiles[pe];de.state!==\"loaded\"&&(de.state=\"loaded\",de.texture=this.texture)}}},z.prototype.loadTile=function(O,$){this.tileID&&this.tileID.equals(O.tileID.canonical)?(this.tiles[String(O.tileID.wrap)]=O,O.buckets={},$(null)):(O.state=\"errored\",$(null))},z.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},z.prototype.hasTransition=function(){return!1},z}(i.Evented);function ge(Y){for(var z=1/0,K=1/0,O=-1/0,$=-1/0,pe=0,de=Y;pe$.end(0)?this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+$.start(0)+\" and \"+$.end(0)+\"-second mark.\"))):this.video.currentTime=O}},z.prototype.getVideo=function(){return this.video},z.prototype.onAdd=function(O){this.map||(this.map=O,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},z.prototype.prepare=function(){if(!(Object.keys(this.tiles).length===0||this.video.readyState<2)){var O=this.map.painter.context,$=O.gl;this.boundsBuffer||(this.boundsBuffer=O.createVertexBuffer(this._boundsArray,Me.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind($.LINEAR,$.CLAMP_TO_EDGE),$.texSubImage2D($.TEXTURE_2D,0,0,0,$.RGBA,$.UNSIGNED_BYTE,this.video)):(this.texture=new i.Texture(O,this.video,$.RGBA),this.texture.bind($.LINEAR,$.CLAMP_TO_EDGE));for(var pe in this.tiles){var de=this.tiles[pe];de.state!==\"loaded\"&&(de.state=\"loaded\",de.texture=this.texture)}}},z.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},z.prototype.hasTransition=function(){return this.video&&!this.video.paused},z}(ke),Te=function(Y){function z(K,O,$,pe){Y.call(this,K,O,$,pe),O.coordinates?(!Array.isArray(O.coordinates)||O.coordinates.length!==4||O.coordinates.some(function(de){return!Array.isArray(de)||de.length!==2||de.some(function(Ie){return typeof Ie!=\"number\"})}))&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'missing required property \"coordinates\"'))),O.animate&&typeof O.animate!=\"boolean\"&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'optional \"animate\" property must be a boolean value'))),O.canvas?typeof O.canvas!=\"string\"&&!(O.canvas instanceof i.window.HTMLCanvasElement)&&this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new i.ErrorEvent(new i.ValidationError(\"sources.\"+K,null,'missing required property \"canvas\"'))),this.options=O,this.animate=O.animate!==void 0?O.animate:!0}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.load=function(){if(this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof i.window.HTMLCanvasElement?this.options.canvas:i.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()){this.fire(new i.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\")));return}this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading()},z.prototype.getCanvas=function(){return this.canvas},z.prototype.onAdd=function(O){this.map=O,this.load(),this.canvas&&this.animate&&this.play()},z.prototype.onRemove=function(){this.pause()},z.prototype.prepare=function(){var O=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,O=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,O=!0),!this._hasInvalidDimensions()&&Object.keys(this.tiles).length!==0){var $=this.map.painter.context,pe=$.gl;this.boundsBuffer||(this.boundsBuffer=$.createVertexBuffer(this._boundsArray,Me.members)),this.boundsSegments||(this.boundsSegments=i.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(O||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new i.Texture($,this.canvas,pe.RGBA,{premultiply:!0});for(var de in this.tiles){var Ie=this.tiles[de];Ie.state!==\"loaded\"&&(Ie.state=\"loaded\",Ie.texture=this.texture)}}},z.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},z.prototype.hasTransition=function(){return this._playing},z.prototype._hasInvalidDimensions=function(){for(var O=0,$=[this.canvas.width,this.canvas.height];O<$.length;O+=1){var pe=$[O];if(isNaN(pe)||pe<=0)return!0}return!1},z}(ke),Ee={vector:W,raster:re,\"raster-dem\":ae,geojson:_e,video:ie,image:ke,canvas:Te},Ae=function(Y,z,K,O){var $=new Ee[z.type](Y,z,K,O);if($.id!==Y)throw new Error(\"Expected Source id to be \"+Y+\" instead of \"+$.id);return i.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],$),$},ze=function(Y){return Ee[Y]},Ce=function(Y,z){Ee[Y]=z};function me(Y,z){var K=i.identity([]);return i.translate(K,K,[1,1,0]),i.scale(K,K,[Y.width*.5,Y.height*.5,1]),i.multiply(K,K,Y.calculatePosMatrix(z.toUnwrapped()))}function Re(Y,z,K){if(Y)for(var O=0,$=Y;O<$.length;O+=1){var pe=$[O],de=z[pe];if(de&&de.source===K&&de.type===\"fill-extrusion\")return!0}else for(var Ie in z){var $e=z[Ie];if($e.source===K&&$e.type===\"fill-extrusion\")return!0}return!1}function ce(Y,z,K,O,$,pe){var de=Re($&&$.layers,z,Y.id),Ie=pe.maxPitchScaleFactor(),$e=Y.tilesIn(O,Ie,de);$e.sort(ct);for(var pt=[],Kt=0,ir=$e;Ktthis.max){var Ie=this._getAndRemoveByKey(this.order[0]);Ie&&this.onRemove(Ie)}return this},rt.prototype.has=function(z){return z.wrapped().key in this.data},rt.prototype.getAndRemove=function(z){return this.has(z)?this._getAndRemoveByKey(z.wrapped().key):null},rt.prototype._getAndRemoveByKey=function(z){var K=this.data[z].shift();return K.timeout&&clearTimeout(K.timeout),this.data[z].length===0&&delete this.data[z],this.order.splice(this.order.indexOf(z),1),K.value},rt.prototype.getByKey=function(z){var K=this.data[z];return K?K[0].value:null},rt.prototype.get=function(z){if(!this.has(z))return null;var K=this.data[z.wrapped().key][0];return K.value},rt.prototype.remove=function(z,K){if(!this.has(z))return this;var O=z.wrapped().key,$=K===void 0?0:this.data[O].indexOf(K),pe=this.data[O][$];return this.data[O].splice($,1),pe.timeout&&clearTimeout(pe.timeout),this.data[O].length===0&&delete this.data[O],this.onRemove(pe.value),this.order.splice(this.order.indexOf(O),1),this},rt.prototype.setMaxSize=function(z){for(this.max=z;this.order.length>this.max;){var K=this._getAndRemoveByKey(this.order[0]);K&&this.onRemove(K)}return this},rt.prototype.filter=function(z){var K=[];for(var O in this.data)for(var $=0,pe=this.data[O];$1||(Math.abs(ir)>1&&(Math.abs(ir+vt)===1?ir+=vt:Math.abs(ir-vt)===1&&(ir-=vt)),!(!Kt.dem||!pt.dem)&&(pt.dem.backfillBorder(Kt.dem,ir,Jt),pt.neighboringTiles&&pt.neighboringTiles[Pt]&&(pt.neighboringTiles[Pt].backfilled=!0)))}},z.prototype.getTile=function(O){return this.getTileByID(O.key)},z.prototype.getTileByID=function(O){return this._tiles[O]},z.prototype._retainLoadedChildren=function(O,$,pe,de){for(var Ie in this._tiles){var $e=this._tiles[Ie];if(!(de[Ie]||!$e.hasData()||$e.tileID.overscaledZ<=$||$e.tileID.overscaledZ>pe)){for(var pt=$e.tileID;$e&&$e.tileID.overscaledZ>$+1;){var Kt=$e.tileID.scaledTo($e.tileID.overscaledZ-1);$e=this._tiles[Kt.key],$e&&$e.hasData()&&(pt=Kt)}for(var ir=pt;ir.overscaledZ>$;)if(ir=ir.scaledTo(ir.overscaledZ-1),O[ir.key]){de[pt.key]=pt;break}}}},z.prototype.findLoadedParent=function(O,$){if(O.key in this._loadedParentTiles){var pe=this._loadedParentTiles[O.key];return pe&&pe.tileID.overscaledZ>=$?pe:null}for(var de=O.overscaledZ-1;de>=$;de--){var Ie=O.scaledTo(de),$e=this._getLoadedTile(Ie);if($e)return $e}},z.prototype._getLoadedTile=function(O){var $=this._tiles[O.key];if($&&$.hasData())return $;var pe=this._cache.getByKey(O.wrapped().key);return pe},z.prototype.updateCacheSize=function(O){var $=Math.ceil(O.width/this._source.tileSize)+1,pe=Math.ceil(O.height/this._source.tileSize)+1,de=$*pe,Ie=5,$e=Math.floor(de*Ie),pt=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,$e):$e;this._cache.setMaxSize(pt)},z.prototype.handleWrapJump=function(O){var $=this._prevLng===void 0?O:this._prevLng,pe=O-$,de=pe/360,Ie=Math.round(de);if(this._prevLng=O,Ie){var $e={};for(var pt in this._tiles){var Kt=this._tiles[pt];Kt.tileID=Kt.tileID.unwrapTo(Kt.tileID.wrap+Ie),$e[Kt.tileID.key]=Kt}this._tiles=$e;for(var ir in this._timers)clearTimeout(this._timers[ir]),delete this._timers[ir];for(var Jt in this._tiles){var vt=this._tiles[Jt];this._setTileReloadTimer(Jt,vt)}}},z.prototype.update=function(O){var $=this;if(this.transform=O,!(!this._sourceLoaded||this._paused)){this.updateCacheSize(O),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={};var pe;this.used?this._source.tileID?pe=O.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(yi){return new i.OverscaledTileID(yi.canonical.z,yi.wrap,yi.canonical.z,yi.canonical.x,yi.canonical.y)}):(pe=O.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(pe=pe.filter(function(yi){return $._source.hasTile(yi)}))):pe=[];var de=O.coveringZoomLevel(this._source),Ie=Math.max(de-z.maxOverzooming,this._source.minzoom),$e=Math.max(de+z.maxUnderzooming,this._source.minzoom),pt=this._updateRetainedTiles(pe,de);if(gi(this._source.type)){for(var Kt={},ir={},Jt=Object.keys(pt),vt=0,Pt=Jt;vtthis._source.maxzoom){var pr=rr.children(this._source.maxzoom)[0],kr=this.getTile(pr);if(kr&&kr.hasData()){pe[pr.key]=pr;continue}}else{var Ar=rr.children(this._source.maxzoom);if(pe[Ar[0].key]&&pe[Ar[1].key]&&pe[Ar[2].key]&&pe[Ar[3].key])continue}for(var gr=dr.wasRequested(),Cr=rr.overscaledZ-1;Cr>=Ie;--Cr){var cr=rr.scaledTo(Cr);if(de[cr.key]||(de[cr.key]=!0,dr=this.getTile(cr),!dr&&gr&&(dr=this._addTile(cr)),dr&&(pe[cr.key]=cr,gr=dr.wasRequested(),dr.hasData())))break}}}return pe},z.prototype._updateLoadedParentTileCache=function(){this._loadedParentTiles={};for(var O in this._tiles){for(var $=[],pe=void 0,de=this._tiles[O].tileID;de.overscaledZ>0;){if(de.key in this._loadedParentTiles){pe=this._loadedParentTiles[de.key];break}$.push(de.key);var Ie=de.scaledTo(de.overscaledZ-1);if(pe=this._getLoadedTile(Ie),pe)break;de=Ie}for(var $e=0,pt=$;$e0)&&($.hasData()&&$.state!==\"reloading\"?this._cache.add($.tileID,$,$.getExpiryTimeout()):($.aborted=!0,this._abortTile($),this._unloadTile($))))},z.prototype.clearTiles=function(){this._shouldReloadOnResume=!1,this._paused=!1;for(var O in this._tiles)this._removeTile(O);this._cache.reset()},z.prototype.tilesIn=function(O,$,pe){var de=this,Ie=[],$e=this.transform;if(!$e)return Ie;for(var pt=pe?$e.getCameraQueryGeometry(O):O,Kt=O.map(function(Cr){return $e.pointCoordinate(Cr)}),ir=pt.map(function(Cr){return $e.pointCoordinate(Cr)}),Jt=this.getIds(),vt=1/0,Pt=1/0,Wt=-1/0,rr=-1/0,dr=0,pr=ir;dr=0&&tn[1].y+yi>=0){var Ri=Kt.map(function(Qn){return Gr.getTilePoint(Qn)}),ln=ir.map(function(Qn){return Gr.getTilePoint(Qn)});Ie.push({tile:cr,tileID:Gr,queryGeometry:Ri,cameraQueryGeometry:ln,scale:ei})}}},gr=0;gr=i.browser.now())return!0}return!1},z.prototype.setFeatureState=function(O,$,pe){O=O||\"_geojsonTileLayer\",this._state.updateState(O,$,pe)},z.prototype.removeFeatureState=function(O,$,pe){O=O||\"_geojsonTileLayer\",this._state.removeFeatureState(O,$,pe)},z.prototype.getFeatureState=function(O,$){return O=O||\"_geojsonTileLayer\",this._state.getState(O,$)},z.prototype.setDependencies=function(O,$,pe){var de=this._tiles[O];de&&de.setDependencies($,pe)},z.prototype.reloadTilesForDependencies=function(O,$){for(var pe in this._tiles){var de=this._tiles[pe];de.hasDependency(O,$)&&this._reloadTile(pe,\"reloading\")}this._cache.filter(function(Ie){return!Ie.hasDependency(O,$)})},z}(i.Evented);Zr.maxOverzooming=10,Zr.maxUnderzooming=3;function Vr(Y,z){var K=Math.abs(Y.wrap*2)-+(Y.wrap<0),O=Math.abs(z.wrap*2)-+(z.wrap<0);return Y.overscaledZ-z.overscaledZ||O-K||z.canonical.y-Y.canonical.y||z.canonical.x-Y.canonical.x}function gi(Y){return Y===\"raster\"||Y===\"image\"||Y===\"video\"}function Si(){return new i.window.Worker(ns.workerUrl)}var Mi=\"mapboxgl_preloaded_worker_pool\",Pi=function(){this.active={}};Pi.prototype.acquire=function(z){if(!this.workers)for(this.workers=[];this.workers.length0?($-de)/Ie:0;return this.points[pe].mult(1-$e).add(this.points[K].mult($e))};var hi=function(z,K,O){var $=this.boxCells=[],pe=this.circleCells=[];this.xCellCount=Math.ceil(z/O),this.yCellCount=Math.ceil(K/O);for(var de=0;dethis.width||$<0||K>this.height)return pe?!1:[];var Ie=[];if(z<=0&&K<=0&&this.width<=O&&this.height<=$){if(pe)return!0;for(var $e=0;$e0:Ie}},hi.prototype._queryCircle=function(z,K,O,$,pe){var de=z-O,Ie=z+O,$e=K-O,pt=K+O;if(Ie<0||de>this.width||pt<0||$e>this.height)return $?!1:[];var Kt=[],ir={hitTest:$,circle:{x:z,y:K,radius:O},seenUids:{box:{},circle:{}}};return this._forEachCell(de,$e,Ie,pt,this._queryCellCircle,Kt,ir,pe),$?Kt.length>0:Kt},hi.prototype.query=function(z,K,O,$,pe){return this._query(z,K,O,$,!1,pe)},hi.prototype.hitTest=function(z,K,O,$,pe){return this._query(z,K,O,$,!0,pe)},hi.prototype.hitTestCircle=function(z,K,O,$){return this._queryCircle(z,K,O,!0,$)},hi.prototype._queryCell=function(z,K,O,$,pe,de,Ie,$e){var pt=Ie.seenUids,Kt=this.boxCells[pe];if(Kt!==null)for(var ir=this.bboxes,Jt=0,vt=Kt;Jt=ir[Wt+0]&&$>=ir[Wt+1]&&(!$e||$e(this.boxKeys[Pt]))){if(Ie.hitTest)return de.push(!0),!0;de.push({key:this.boxKeys[Pt],x1:ir[Wt],y1:ir[Wt+1],x2:ir[Wt+2],y2:ir[Wt+3]})}}}var rr=this.circleCells[pe];if(rr!==null)for(var dr=this.circles,pr=0,kr=rr;prIe*Ie+$e*$e},hi.prototype._circleAndRectCollide=function(z,K,O,$,pe,de,Ie){var $e=(de-$)/2,pt=Math.abs(z-($+$e));if(pt>$e+O)return!1;var Kt=(Ie-pe)/2,ir=Math.abs(K-(pe+Kt));if(ir>Kt+O)return!1;if(pt<=$e||ir<=Kt)return!0;var Jt=pt-$e,vt=ir-Kt;return Jt*Jt+vt*vt<=O*O};function Ji(Y,z,K,O,$){var pe=i.create();return z?(i.scale(pe,pe,[1/$,1/$,1]),K||i.rotateZ(pe,pe,O.angle)):i.multiply(pe,O.labelPlaneMatrix,Y),pe}function ua(Y,z,K,O,$){if(z){var pe=i.clone(Y);return i.scale(pe,pe,[$,$,1]),K||i.rotateZ(pe,pe,-O.angle),pe}else return O.glCoordMatrix}function Fn(Y,z){var K=[Y.x,Y.y,0,1];wl(K,K,z);var O=K[3];return{point:new i.Point(K[0]/O,K[1]/O),signedDistanceFromCamera:O}}function Sa(Y,z){return .5+.5*(Y/z)}function go(Y,z){var K=Y[0]/Y[3],O=Y[1]/Y[3],$=K>=-z[0]&&K<=z[0]&&O>=-z[1]&&O<=z[1];return $}function Oo(Y,z,K,O,$,pe,de,Ie){var $e=O?Y.textSizeData:Y.iconSizeData,pt=i.evaluateSizeForZoom($e,K.transform.zoom),Kt=[256/K.width*2+1,256/K.height*2+1],ir=O?Y.text.dynamicLayoutVertexArray:Y.icon.dynamicLayoutVertexArray;ir.clear();for(var Jt=Y.lineVertexArray,vt=O?Y.text.placedSymbolArray:Y.icon.placedSymbolArray,Pt=K.transform.width/K.transform.height,Wt=!1,rr=0;rrpe)return{useVertical:!0}}return(Y===i.WritingMode.vertical?z.yK.x)?{needsFlipping:!0}:null}function xo(Y,z,K,O,$,pe,de,Ie,$e,pt,Kt,ir,Jt,vt){var Pt=z/24,Wt=Y.lineOffsetX*Pt,rr=Y.lineOffsetY*Pt,dr;if(Y.numGlyphs>1){var pr=Y.glyphStartIndex+Y.numGlyphs,kr=Y.lineStartIndex,Ar=Y.lineStartIndex+Y.lineLength,gr=ho(Pt,Ie,Wt,rr,K,Kt,ir,Y,$e,pe,Jt);if(!gr)return{notEnoughRoom:!0};var Cr=Fn(gr.first.point,de).point,cr=Fn(gr.last.point,de).point;if(O&&!K){var Gr=Mo(Y.writingMode,Cr,cr,vt);if(Gr)return Gr}dr=[gr.first];for(var ei=Y.glyphStartIndex+1;ei0?ln.point:zs(ir,Ri,yi,1,$),qn=Mo(Y.writingMode,yi,Qn,vt);if(qn)return qn}var rn=ks(Pt*Ie.getoffsetX(Y.glyphStartIndex),Wt,rr,K,Kt,ir,Y.segment,Y.lineStartIndex,Y.lineStartIndex+Y.lineLength,$e,pe,Jt);if(!rn)return{notEnoughRoom:!0};dr=[rn]}for(var bn=0,mn=dr;bn0?1:-1,Pt=0;O&&(vt*=-1,Pt=Math.PI),vt<0&&(Pt+=Math.PI);for(var Wt=vt>0?Ie+de:Ie+de+1,rr=$,dr=$,pr=0,kr=0,Ar=Math.abs(Jt),gr=[];pr+kr<=Ar;){if(Wt+=vt,Wt=$e)return null;if(dr=rr,gr.push(rr),rr=ir[Wt],rr===void 0){var Cr=new i.Point(pt.getx(Wt),pt.gety(Wt)),cr=Fn(Cr,Kt);if(cr.signedDistanceFromCamera>0)rr=ir[Wt]=cr.point;else{var Gr=Wt-vt,ei=pr===0?pe:new i.Point(pt.getx(Gr),pt.gety(Gr));rr=zs(ei,Cr,dr,Ar-pr+1,Kt)}}pr+=kr,kr=dr.dist(rr)}var yi=(Ar-pr)/kr,tn=rr.sub(dr),Ri=tn.mult(yi)._add(dr);Ri._add(tn._unit()._perp()._mult(K*vt));var ln=Pt+Math.atan2(rr.y-dr.y,rr.x-dr.x);return gr.push(Ri),{point:Ri,angle:ln,path:gr}}var Zs=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Xs(Y,z){for(var K=0;K=1;Gn--)mn.push(rn.path[Gn]);for(var da=1;da0){for(var fo=mn[0].clone(),as=mn[0].clone(),tl=1;tl=ln.x&&as.x<=Qn.x&&fo.y>=ln.y&&as.y<=Qn.y?ps=[mn]:as.xQn.x||as.yQn.y?ps=[]:ps=i.clipLine([mn],ln.x,ln.y,Qn.x,Qn.y)}for(var zu=0,Mv=ps;zu=this.screenRightBoundary||$this.screenBottomBoundary},cl.prototype.isInsideGrid=function(z,K,O,$){return O>=0&&z=0&&K0){var Ar;return this.prevPlacement&&this.prevPlacement.variableOffsets[Jt.crossTileID]&&this.prevPlacement.placements[Jt.crossTileID]&&this.prevPlacement.placements[Jt.crossTileID].text&&(Ar=this.prevPlacement.variableOffsets[Jt.crossTileID].anchor),this.variableOffsets[Jt.crossTileID]={textOffset:rr,width:O,height:$,anchor:z,textBoxScale:pe,prevAnchor:Ar},this.markUsedJustification(vt,z,Jt,Pt),vt.allowVerticalPlacement&&(this.markUsedOrientation(vt,Pt,Jt),this.placedOrientations[Jt.crossTileID]=Pt),{shift:dr,placedGlyphBoxes:pr}}},ms.prototype.placeLayerBucketPart=function(z,K,O){var $=this,pe=z.parameters,de=pe.bucket,Ie=pe.layout,$e=pe.posMatrix,pt=pe.textLabelPlaneMatrix,Kt=pe.labelToScreenMatrix,ir=pe.textPixelRatio,Jt=pe.holdingForFade,vt=pe.collisionBoxArray,Pt=pe.partiallyEvaluatedTextSize,Wt=pe.collisionGroup,rr=Ie.get(\"text-optional\"),dr=Ie.get(\"icon-optional\"),pr=Ie.get(\"text-allow-overlap\"),kr=Ie.get(\"icon-allow-overlap\"),Ar=Ie.get(\"text-rotation-alignment\")===\"map\",gr=Ie.get(\"text-pitch-alignment\")===\"map\",Cr=Ie.get(\"icon-text-fit\")!==\"none\",cr=Ie.get(\"symbol-z-order\")===\"viewport-y\",Gr=pr&&(kr||!de.hasIconData()||dr),ei=kr&&(pr||!de.hasTextData()||rr);!de.collisionArrays&&vt&&de.deserializeCollisionBoxes(vt);var yi=function(rn,bn){if(!K[rn.crossTileID]){if(Jt){$.placements[rn.crossTileID]=new Hs(!1,!1,!1);return}var mn=!1,Gn=!1,da=!0,No=null,Do={box:null,offscreen:null},ps={box:null,offscreen:null},fo=null,as=null,tl=null,zu=0,Mv=0,Ev=0;bn.textFeatureIndex?zu=bn.textFeatureIndex:rn.useRuntimeCollisionCircles&&(zu=rn.featureIndex),bn.verticalTextFeatureIndex&&(Mv=bn.verticalTextFeatureIndex);var yd=bn.textBox;if(yd){var Yv=function(Fu){var kl=i.WritingMode.horizontal;if(de.allowVerticalPlacement&&!Fu&&$.prevPlacement){var bd=$.prevPlacement.placedOrientations[rn.crossTileID];bd&&($.placedOrientations[rn.crossTileID]=bd,kl=bd,$.markUsedOrientation(de,kl,rn))}return kl},cg=function(Fu,kl){if(de.allowVerticalPlacement&&rn.numVerticalGlyphVertices>0&&bn.verticalTextBox)for(var bd=0,sy=de.writingModes;bd0&&(Nd=Nd.filter(function(Fu){return Fu!==xd.anchor}),Nd.unshift(xd.anchor))}var kv=function(Fu,kl,bd){for(var sy=Fu.x2-Fu.x1,A1=Fu.y2-Fu.y1,Yl=rn.textBoxScale,Bx=Cr&&!kr?kl:null,am={box:[],offscreen:!1},Mw=pr?Nd.length*2:Nd.length,Lv=0;Lv=Nd.length,Nx=$.attemptAnchorPlacement(om,Fu,sy,A1,Yl,Ar,gr,ir,$e,Wt,Ew,rn,de,bd,Bx);if(Nx&&(am=Nx.placedGlyphBoxes,am&&am.box&&am.box.length)){mn=!0,No=Nx.shift;break}}return am},Kv=function(){return kv(yd,bn.iconBox,i.WritingMode.horizontal)},Cv=function(){var Fu=bn.verticalTextBox,kl=Do&&Do.box&&Do.box.length;return de.allowVerticalPlacement&&!kl&&rn.numVerticalGlyphVertices>0&&Fu?kv(Fu,bn.verticalIconBox,i.WritingMode.vertical):{box:null,offscreen:null}};cg(Kv,Cv),Do&&(mn=Do.box,da=Do.offscreen);var ny=Yv(Do&&Do.box);if(!mn&&$.prevPlacement){var fg=$.prevPlacement.variableOffsets[rn.crossTileID];fg&&($.variableOffsets[rn.crossTileID]=fg,$.markUsedJustification(de,fg.anchor,rn,ny))}}else{var vp=function(Fu,kl){var bd=$.collisionIndex.placeCollisionBox(Fu,pr,ir,$e,Wt.predicate);return bd&&bd.box&&bd.box.length&&($.markUsedOrientation(de,kl,rn),$.placedOrientations[rn.crossTileID]=kl),bd},_d=function(){return vp(yd,i.WritingMode.horizontal)},pp=function(){var Fu=bn.verticalTextBox;return de.allowVerticalPlacement&&rn.numVerticalGlyphVertices>0&&Fu?vp(Fu,i.WritingMode.vertical):{box:null,offscreen:null}};cg(_d,pp),Yv(Do&&Do.box&&Do.box.length)}}if(fo=Do,mn=fo&&fo.box&&fo.box.length>0,da=fo&&fo.offscreen,rn.useRuntimeCollisionCircles){var Hf=de.text.placedSymbolArray.get(rn.centerJustifiedTextSymbolIndex),hg=i.evaluateSizeForFeature(de.textSizeData,Pt,Hf),ay=Ie.get(\"text-padding\"),Rh=rn.collisionCircleDiameter;as=$.collisionIndex.placeCollisionCircles(pr,Hf,de.lineVertexArray,de.glyphOffsetArray,hg,$e,pt,Kt,O,gr,Wt.predicate,Rh,ay),mn=pr||as.circles.length>0&&!as.collisionDetected,da=da&&as.offscreen}if(bn.iconFeatureIndex&&(Ev=bn.iconFeatureIndex),bn.iconBox){var rm=function(Fu){var kl=Cr&&No?fc(Fu,No.x,No.y,Ar,gr,$.transform.angle):Fu;return $.collisionIndex.placeCollisionBox(kl,kr,ir,$e,Wt.predicate)};ps&&ps.box&&ps.box.length&&bn.verticalIconBox?(tl=rm(bn.verticalIconBox),Gn=tl.box.length>0):(tl=rm(bn.iconBox),Gn=tl.box.length>0),da=da&&tl.offscreen}var w1=rr||rn.numHorizontalGlyphVertices===0&&rn.numVerticalGlyphVertices===0,T1=dr||rn.numIconVertices===0;if(!w1&&!T1?Gn=mn=Gn&&mn:T1?w1||(Gn=Gn&&mn):mn=Gn&&mn,mn&&fo&&fo.box&&(ps&&ps.box&&Mv?$.collisionIndex.insertCollisionBox(fo.box,Ie.get(\"text-ignore-placement\"),de.bucketInstanceId,Mv,Wt.ID):$.collisionIndex.insertCollisionBox(fo.box,Ie.get(\"text-ignore-placement\"),de.bucketInstanceId,zu,Wt.ID)),Gn&&tl&&$.collisionIndex.insertCollisionBox(tl.box,Ie.get(\"icon-ignore-placement\"),de.bucketInstanceId,Ev,Wt.ID),as&&(mn&&$.collisionIndex.insertCollisionCircles(as.circles,Ie.get(\"text-ignore-placement\"),de.bucketInstanceId,zu,Wt.ID),O)){var oy=de.bucketInstanceId,im=$.collisionCircleArrays[oy];im===void 0&&(im=$.collisionCircleArrays[oy]=new Eo);for(var nm=0;nm=0;--Ri){var ln=tn[Ri];yi(de.symbolInstances.get(ln),de.collisionArrays[ln])}else for(var Qn=z.symbolInstanceStart;Qn=0&&(de>=0&&Kt!==de?z.text.placedSymbolArray.get(Kt).crossTileID=0:z.text.placedSymbolArray.get(Kt).crossTileID=O.crossTileID)}},ms.prototype.markUsedOrientation=function(z,K,O){for(var $=K===i.WritingMode.horizontal||K===i.WritingMode.horizontalOnly?K:0,pe=K===i.WritingMode.vertical?K:0,de=[O.leftJustifiedTextSymbolIndex,O.centerJustifiedTextSymbolIndex,O.rightJustifiedTextSymbolIndex],Ie=0,$e=de;Ie<$e.length;Ie+=1){var pt=$e[Ie];z.text.placedSymbolArray.get(pt).placedOrientation=$}O.verticalPlacedTextSymbolIndex&&(z.text.placedSymbolArray.get(O.verticalPlacedTextSymbolIndex).placedOrientation=pe)},ms.prototype.commit=function(z){this.commitTime=z,this.zoomAtLastRecencyCheck=this.transform.zoom;var K=this.prevPlacement,O=!1;this.prevZoomAdjustment=K?K.zoomAdjustment(this.transform.zoom):0;var $=K?K.symbolFadeChange(z):1,pe=K?K.opacities:{},de=K?K.variableOffsets:{},Ie=K?K.placedOrientations:{};for(var $e in this.placements){var pt=this.placements[$e],Kt=pe[$e];Kt?(this.opacities[$e]=new Ys(Kt,$,pt.text,pt.icon),O=O||pt.text!==Kt.text.placed||pt.icon!==Kt.icon.placed):(this.opacities[$e]=new Ys(null,$,pt.text,pt.icon,pt.skipFade),O=O||pt.text||pt.icon)}for(var ir in pe){var Jt=pe[ir];if(!this.opacities[ir]){var vt=new Ys(Jt,$,!1,!1);vt.isHidden()||(this.opacities[ir]=vt,O=O||Jt.text.placed||Jt.icon.placed)}}for(var Pt in de)!this.variableOffsets[Pt]&&this.opacities[Pt]&&!this.opacities[Pt].isHidden()&&(this.variableOffsets[Pt]=de[Pt]);for(var Wt in Ie)!this.placedOrientations[Wt]&&this.opacities[Wt]&&!this.opacities[Wt].isHidden()&&(this.placedOrientations[Wt]=Ie[Wt]);O?this.lastPlacementChangeTime=z:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=K?K.lastPlacementChangeTime:z)},ms.prototype.updateLayerOpacities=function(z,K){for(var O={},$=0,pe=K;$0||gr>0,yi=kr.numIconVertices>0,tn=$.placedOrientations[kr.crossTileID],Ri=tn===i.WritingMode.vertical,ln=tn===i.WritingMode.horizontal||tn===i.WritingMode.horizontalOnly;if(ei){var Qn=Ec(Gr.text),qn=Ri?Zn:Qn;Pt(z.text,Ar,qn);var rn=ln?Zn:Qn;Pt(z.text,gr,rn);var bn=Gr.text.isHidden();[kr.rightJustifiedTextSymbolIndex,kr.centerJustifiedTextSymbolIndex,kr.leftJustifiedTextSymbolIndex].forEach(function(Ev){Ev>=0&&(z.text.placedSymbolArray.get(Ev).hidden=bn||Ri?1:0)}),kr.verticalPlacedTextSymbolIndex>=0&&(z.text.placedSymbolArray.get(kr.verticalPlacedTextSymbolIndex).hidden=bn||ln?1:0);var mn=$.variableOffsets[kr.crossTileID];mn&&$.markUsedJustification(z,mn.anchor,kr,tn);var Gn=$.placedOrientations[kr.crossTileID];Gn&&($.markUsedJustification(z,\"left\",kr,Gn),$.markUsedOrientation(z,Gn,kr))}if(yi){var da=Ec(Gr.icon),No=!(Jt&&kr.verticalPlacedIconSymbolIndex&&Ri);if(kr.placedIconSymbolIndex>=0){var Do=No?da:Zn;Pt(z.icon,kr.numIconVertices,Do),z.icon.placedSymbolArray.get(kr.placedIconSymbolIndex).hidden=Gr.icon.isHidden()}if(kr.verticalPlacedIconSymbolIndex>=0){var ps=No?Zn:da;Pt(z.icon,kr.numVerticalIconVertices,ps),z.icon.placedSymbolArray.get(kr.verticalPlacedIconSymbolIndex).hidden=Gr.icon.isHidden()}}if(z.hasIconCollisionBoxData()||z.hasTextCollisionBoxData()){var fo=z.collisionArrays[pr];if(fo){var as=new i.Point(0,0);if(fo.textBox||fo.verticalTextBox){var tl=!0;if(pt){var zu=$.variableOffsets[Cr];zu?(as=Hu(zu.anchor,zu.width,zu.height,zu.textOffset,zu.textBoxScale),Kt&&as._rotate(ir?$.transform.angle:-$.transform.angle)):tl=!1}fo.textBox&&on(z.textCollisionBox.collisionVertexArray,Gr.text.placed,!tl||Ri,as.x,as.y),fo.verticalTextBox&&on(z.textCollisionBox.collisionVertexArray,Gr.text.placed,!tl||ln,as.x,as.y)}var Mv=!!(!ln&&fo.verticalIconBox);fo.iconBox&&on(z.iconCollisionBox.collisionVertexArray,Gr.icon.placed,Mv,Jt?as.x:0,Jt?as.y:0),fo.verticalIconBox&&on(z.iconCollisionBox.collisionVertexArray,Gr.icon.placed,!Mv,Jt?as.x:0,Jt?as.y:0)}}},rr=0;rrz},ms.prototype.setStale=function(){this.stale=!0};function on(Y,z,K,O,$){Y.emplaceBack(z?1:0,K?1:0,O||0,$||0),Y.emplaceBack(z?1:0,K?1:0,O||0,$||0),Y.emplaceBack(z?1:0,K?1:0,O||0,$||0),Y.emplaceBack(z?1:0,K?1:0,O||0,$||0)}var fa=Math.pow(2,25),Qu=Math.pow(2,24),Il=Math.pow(2,17),vo=Math.pow(2,16),Wl=Math.pow(2,9),Ks=Math.pow(2,8),Zl=Math.pow(2,1);function Ec(Y){if(Y.opacity===0&&!Y.placed)return 0;if(Y.opacity===1&&Y.placed)return 4294967295;var z=Y.placed?1:0,K=Math.floor(Y.opacity*127);return K*fa+z*Qu+K*Il+z*vo+K*Wl+z*Ks+K*Zl+z}var Zn=0,ko=function(z){this._sortAcrossTiles=z.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&z.layout.get(\"symbol-sort-key\").constantOr(1)!==void 0,this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};ko.prototype.continuePlacement=function(z,K,O,$,pe){for(var de=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var Ie=z[this._currentPlacementIndex],$e=K[Ie],pt=this.placement.collisionIndex.transform.zoom;if($e.type===\"symbol\"&&(!$e.minzoom||$e.minzoom<=pt)&&(!$e.maxzoom||$e.maxzoom>pt)){this._inProgressLayer||(this._inProgressLayer=new ko($e));var Kt=this._inProgressLayer.continuePlacement(O[$e.source],this.placement,this._showCollisionBoxes,$e,de);if(Kt)return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Co.prototype.commit=function(z){return this.placement.commit(z),this.placement};var Tl=512/i.EXTENT/2,uf=function(z,K,O){this.tileID=z,this.indexedSymbolInstances={},this.bucketInstanceId=O;for(var $=0;$z.overscaledZ)for(var pt in $e){var Kt=$e[pt];Kt.tileID.isChildOf(z)&&Kt.findMatches(K.symbolInstances,z,de)}else{var ir=z.scaledTo(Number(Ie)),Jt=$e[ir.key];Jt&&Jt.findMatches(K.symbolInstances,z,de)}}for(var vt=0;vt0)throw new Error(\"Unimplemented: \"+de.map(function(Ie){return Ie.command}).join(\", \")+\".\");return pe.forEach(function(Ie){Ie.command!==\"setTransition\"&&$[Ie.command].apply($,Ie.args)}),this.stylesheet=O,!0},z.prototype.addImage=function(O,$){if(this.getImage(O))return this.fire(new i.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(O,$),this._afterImageUpdated(O)},z.prototype.updateImage=function(O,$){this.imageManager.updateImage(O,$)},z.prototype.getImage=function(O){return this.imageManager.getImage(O)},z.prototype.removeImage=function(O){if(!this.getImage(O))return this.fire(new i.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(O),this._afterImageUpdated(O)},z.prototype._afterImageUpdated=function(O){this._availableImages=this.imageManager.listImages(),this._changedImages[O]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new i.Event(\"data\",{dataType:\"style\"}))},z.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},z.prototype.addSource=function(O,$,pe){var de=this;if(pe===void 0&&(pe={}),this._checkLoaded(),this.sourceCaches[O]!==void 0)throw new Error(\"There is already a source with this ID\");if(!$.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys($).join(\", \")+\".\");var Ie=[\"vector\",\"raster\",\"geojson\",\"video\",\"image\"],$e=Ie.indexOf($.type)>=0;if(!($e&&this._validate(i.validateStyle.source,\"sources.\"+O,$,null,pe))){this.map&&this.map._collectResourceTiming&&($.collectResourceTiming=!0);var pt=this.sourceCaches[O]=new Zr(O,$,this.dispatcher);pt.style=this,pt.setEventedParent(this,function(){return{isSourceLoaded:de.loaded(),source:pt.serialize(),sourceId:O}}),pt.onAdd(this.map),this._changed=!0}},z.prototype.removeSource=function(O){if(this._checkLoaded(),this.sourceCaches[O]===void 0)throw new Error(\"There is no source with this ID\");for(var $ in this._layers)if(this._layers[$].source===O)return this.fire(new i.ErrorEvent(new Error('Source \"'+O+'\" cannot be removed while layer \"'+$+'\" is using it.')));var pe=this.sourceCaches[O];delete this.sourceCaches[O],delete this._updatedSources[O],pe.fire(new i.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:O})),pe.setEventedParent(null),pe.clearTiles(),pe.onRemove&&pe.onRemove(this.map),this._changed=!0},z.prototype.setGeoJSONSourceData=function(O,$){this._checkLoaded();var pe=this.sourceCaches[O].getSource();pe.setData($),this._changed=!0},z.prototype.getSource=function(O){return this.sourceCaches[O]&&this.sourceCaches[O].getSource()},z.prototype.addLayer=function(O,$,pe){pe===void 0&&(pe={}),this._checkLoaded();var de=O.id;if(this.getLayer(de)){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+de+'\" already exists on this map')));return}var Ie;if(O.type===\"custom\"){if(Al(this,i.validateCustomStyleLayer(O)))return;Ie=i.createStyleLayer(O)}else{if(typeof O.source==\"object\"&&(this.addSource(de,O.source),O=i.clone$1(O),O=i.extend(O,{source:de})),this._validate(i.validateStyle.layer,\"layers.\"+de,O,{arrayIndex:-1},pe))return;Ie=i.createStyleLayer(O),this._validateLayer(Ie),Ie.setEventedParent(this,{layer:{id:de}}),this._serializedLayers[Ie.id]=Ie.serialize()}var $e=$?this._order.indexOf($):this._order.length;if($&&$e===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+$+'\" does not exist on this map.')));return}if(this._order.splice($e,0,de),this._layerOrderChanged=!0,this._layers[de]=Ie,this._removedLayers[de]&&Ie.source&&Ie.type!==\"custom\"){var pt=this._removedLayers[de];delete this._removedLayers[de],pt.type!==Ie.type?this._updatedSources[Ie.source]=\"clear\":(this._updatedSources[Ie.source]=\"reload\",this.sourceCaches[Ie.source].pause())}this._updateLayer(Ie),Ie.onAdd&&Ie.onAdd(this.map)},z.prototype.moveLayer=function(O,$){this._checkLoaded(),this._changed=!0;var pe=this._layers[O];if(!pe){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be moved.\")));return}if(O!==$){var de=this._order.indexOf(O);this._order.splice(de,1);var Ie=$?this._order.indexOf($):this._order.length;if($&&Ie===-1){this.fire(new i.ErrorEvent(new Error('Layer with id \"'+$+'\" does not exist on this map.')));return}this._order.splice(Ie,0,O),this._layerOrderChanged=!0}},z.prototype.removeLayer=function(O){this._checkLoaded();var $=this._layers[O];if(!$){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be removed.\")));return}$.setEventedParent(null);var pe=this._order.indexOf(O);this._order.splice(pe,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[O]=$,delete this._layers[O],delete this._serializedLayers[O],delete this._updatedLayers[O],delete this._updatedPaintProps[O],$.onRemove&&$.onRemove(this.map)},z.prototype.getLayer=function(O){return this._layers[O]},z.prototype.hasLayer=function(O){return O in this._layers},z.prototype.setLayerZoomRange=function(O,$,pe){this._checkLoaded();var de=this.getLayer(O);if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot have zoom extent.\")));return}de.minzoom===$&&de.maxzoom===pe||($!=null&&(de.minzoom=$),pe!=null&&(de.maxzoom=pe),this._updateLayer(de))},z.prototype.setFilter=function(O,$,pe){pe===void 0&&(pe={}),this._checkLoaded();var de=this.getLayer(O);if(!de){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be filtered.\")));return}if(!i.deepEqual(de.filter,$)){if($==null){de.filter=void 0,this._updateLayer(de);return}this._validate(i.validateStyle.filter,\"layers.\"+de.id+\".filter\",$,null,pe)||(de.filter=i.clone$1($),this._updateLayer(de))}},z.prototype.getFilter=function(O){return i.clone$1(this.getLayer(O).filter)},z.prototype.setLayoutProperty=function(O,$,pe,de){de===void 0&&(de={}),this._checkLoaded();var Ie=this.getLayer(O);if(!Ie){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be styled.\")));return}i.deepEqual(Ie.getLayoutProperty($),pe)||(Ie.setLayoutProperty($,pe,de),this._updateLayer(Ie))},z.prototype.getLayoutProperty=function(O,$){var pe=this.getLayer(O);if(!pe){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style.\")));return}return pe.getLayoutProperty($)},z.prototype.setPaintProperty=function(O,$,pe,de){de===void 0&&(de={}),this._checkLoaded();var Ie=this.getLayer(O);if(!Ie){this.fire(new i.ErrorEvent(new Error(\"The layer '\"+O+\"' does not exist in the map's style and cannot be styled.\")));return}if(!i.deepEqual(Ie.getPaintProperty($),pe)){var $e=Ie.setPaintProperty($,pe,de);$e&&this._updateLayer(Ie),this._changed=!0,this._updatedPaintProps[O]=!0}},z.prototype.getPaintProperty=function(O,$){return this.getLayer(O).getPaintProperty($)},z.prototype.setFeatureState=function(O,$){this._checkLoaded();var pe=O.source,de=O.sourceLayer,Ie=this.sourceCaches[pe];if(Ie===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+pe+\"' does not exist in the map's style.\")));return}var $e=Ie.getSource().type;if($e===\"geojson\"&&de){this.fire(new i.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\")));return}if($e===\"vector\"&&!de){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}O.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),Ie.setFeatureState(de,O.id,$)},z.prototype.removeFeatureState=function(O,$){this._checkLoaded();var pe=O.source,de=this.sourceCaches[pe];if(de===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+pe+\"' does not exist in the map's style.\")));return}var Ie=de.getSource().type,$e=Ie===\"vector\"?O.sourceLayer:void 0;if(Ie===\"vector\"&&!$e){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}if($&&typeof O.id!=\"string\"&&typeof O.id!=\"number\"){this.fire(new i.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\")));return}de.removeFeatureState($e,O.id,$)},z.prototype.getFeatureState=function(O){this._checkLoaded();var $=O.source,pe=O.sourceLayer,de=this.sourceCaches[$];if(de===void 0){this.fire(new i.ErrorEvent(new Error(\"The source '\"+$+\"' does not exist in the map's style.\")));return}var Ie=de.getSource().type;if(Ie===\"vector\"&&!pe){this.fire(new i.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));return}return O.id===void 0&&this.fire(new i.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),de.getFeatureState(pe,O.id)},z.prototype.getTransition=function(){return i.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},z.prototype.serialize=function(){return i.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:i.mapObject(this.sourceCaches,function(O){return O.serialize()}),layers:this._serializeLayers(this._order)},function(O){return O!==void 0})},z.prototype._updateLayer=function(O){this._updatedLayers[O.id]=!0,O.source&&!this._updatedSources[O.source]&&this.sourceCaches[O.source].getSource().type!==\"raster\"&&(this._updatedSources[O.source]=\"reload\",this.sourceCaches[O.source].pause()),this._changed=!0},z.prototype._flattenAndSortRenderedFeatures=function(O){for(var $=this,pe=function(ln){return $._layers[ln].type===\"fill-extrusion\"},de={},Ie=[],$e=this._order.length-1;$e>=0;$e--){var pt=this._order[$e];if(pe(pt)){de[pt]=$e;for(var Kt=0,ir=O;Kt=0;pr--){var kr=this._order[pr];if(pe(kr))for(var Ar=Ie.length-1;Ar>=0;Ar--){var gr=Ie[Ar].feature;if(de[gr.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",dc=\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\",Sl=\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",ec=\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\",Ps=\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",ov=\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\",wo=`#pragma mapbox: define highp vec4 color\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "gl_FragColor=color*opacity;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,Od=`attribute vec2 a_pos;uniform mat4 u_matrix;\n", + "#pragma mapbox: define highp vec4 color\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "gl_Position=u_matrix*vec4(a_pos,0,1);}`,$o=`varying vec2 v_pos;\n", + "#pragma mapbox: define highp vec4 outline_color\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 outline_color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,Ja=`attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n", + "#pragma mapbox: define highp vec4 outline_color\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 outline_color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,Ef=`uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,tc=`uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "#pragma mapbox: define lowp float pixel_ratio_from\n", + "#pragma mapbox: define lowp float pixel_ratio_to\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "#pragma mapbox: initialize lowp float pixel_ratio_from\n", + "#pragma mapbox: initialize lowp float pixel_ratio_to\n", + "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`,uu=`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,Mh=`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "#pragma mapbox: define lowp float pixel_ratio_from\n", + "#pragma mapbox: define lowp float pixel_ratio_to\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "#pragma mapbox: initialize lowp float pixel_ratio_from\n", + "#pragma mapbox: initialize lowp float pixel_ratio_to\n", + "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`,jc=`varying vec4 v_color;void main() {gl_FragColor=v_color;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,kf=`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n", + "#pragma mapbox: define highp float base\n", + "#pragma mapbox: define highp float height\n", + "#pragma mapbox: define highp vec4 color\n", + "void main() {\n", + "#pragma mapbox: initialize highp float base\n", + "#pragma mapbox: initialize highp float height\n", + "#pragma mapbox: initialize highp vec4 color\n", + "vec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`,Ml=`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n", + "#pragma mapbox: define lowp float base\n", + "#pragma mapbox: define lowp float height\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "#pragma mapbox: define lowp float pixel_ratio_from\n", + "#pragma mapbox: define lowp float pixel_ratio_to\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float base\n", + "#pragma mapbox: initialize lowp float height\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "#pragma mapbox: initialize lowp float pixel_ratio_from\n", + "#pragma mapbox: initialize lowp float pixel_ratio_to\n", + "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,Yh=`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n", + "#pragma mapbox: define lowp float base\n", + "#pragma mapbox: define lowp float height\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "#pragma mapbox: define lowp float pixel_ratio_from\n", + "#pragma mapbox: define lowp float pixel_ratio_to\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float base\n", + "#pragma mapbox: initialize lowp float height\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "#pragma mapbox: initialize lowp float pixel_ratio_from\n", + "#pragma mapbox: initialize lowp float pixel_ratio_to\n", + "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n", + "? a_pos\n", + ": vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`,Eh=`#ifdef GL_ES\n", + "precision highp float;\n", + "#endif\n", + "uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,nh=\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\",hf=`uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n", + "#define PI 3.141592653589793\n", + "void main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,kh=\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\",Kh=`uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n", + "#pragma mapbox: define highp vec4 color\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 color\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,rc=`\n", + "#define scale 0.015873016\n", + "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n", + "#pragma mapbox: define highp vec4 color\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define mediump float gapwidth\n", + "#pragma mapbox: define lowp float offset\n", + "#pragma mapbox: define mediump float width\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 color\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump float gapwidth\n", + "#pragma mapbox: initialize lowp float offset\n", + "#pragma mapbox: initialize mediump float width\n", + "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}`,ah=`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,Wc=`\n", + "#define scale 0.015873016\n", + "attribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define mediump float gapwidth\n", + "#pragma mapbox: define lowp float offset\n", + "#pragma mapbox: define mediump float width\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump float gapwidth\n", + "#pragma mapbox: initialize lowp float offset\n", + "#pragma mapbox: initialize mediump float width\n", + "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}`,df=`uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "#pragma mapbox: define lowp float pixel_ratio_from\n", + "#pragma mapbox: define lowp float pixel_ratio_to\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "#pragma mapbox: initialize lowp float pixel_ratio_from\n", + "#pragma mapbox: initialize lowp float pixel_ratio_to\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,Cu=`\n", + "#define scale 0.015873016\n", + "#define LINE_DISTANCE_SCALE 2.0\n", + "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp float offset\n", + "#pragma mapbox: define mediump float gapwidth\n", + "#pragma mapbox: define mediump float width\n", + "#pragma mapbox: define lowp float floorwidth\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "#pragma mapbox: define lowp float pixel_ratio_from\n", + "#pragma mapbox: define lowp float pixel_ratio_to\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize lowp float offset\n", + "#pragma mapbox: initialize mediump float gapwidth\n", + "#pragma mapbox: initialize mediump float width\n", + "#pragma mapbox: initialize lowp float floorwidth\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "#pragma mapbox: initialize lowp float pixel_ratio_from\n", + "#pragma mapbox: initialize lowp float pixel_ratio_to\n", + "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`,Nf=`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n", + "#pragma mapbox: define highp vec4 color\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define mediump float width\n", + "#pragma mapbox: define lowp float floorwidth\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 color\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump float width\n", + "#pragma mapbox: initialize lowp float floorwidth\n", + "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,Zc=`\n", + "#define scale 0.015873016\n", + "#define LINE_DISTANCE_SCALE 2.0\n", + "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n", + "#pragma mapbox: define highp vec4 color\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define mediump float gapwidth\n", + "#pragma mapbox: define lowp float offset\n", + "#pragma mapbox: define mediump float width\n", + "#pragma mapbox: define lowp float floorwidth\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 color\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump float gapwidth\n", + "#pragma mapbox: initialize lowp float offset\n", + "#pragma mapbox: initialize mediump float width\n", + "#pragma mapbox: initialize lowp float floorwidth\n", + "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}`,ds=`uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,Ch=\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\",Bd=`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float opacity\n", + "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,Jh=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float opacity\n", + "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n", + "camera_to_anchor_distance/u_camera_to_center_distance :\n", + "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}`,Cf=`#define SDF_PX 8.0\n", + "uniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n", + "#pragma mapbox: define highp vec4 fill_color\n", + "#pragma mapbox: define highp vec4 halo_color\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp float halo_width\n", + "#pragma mapbox: define lowp float halo_blur\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 fill_color\n", + "#pragma mapbox: initialize highp vec4 halo_color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize lowp float halo_width\n", + "#pragma mapbox: initialize lowp float halo_blur\n", + "float EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,pd=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n", + "#pragma mapbox: define highp vec4 fill_color\n", + "#pragma mapbox: define highp vec4 halo_color\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp float halo_width\n", + "#pragma mapbox: define lowp float halo_blur\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 fill_color\n", + "#pragma mapbox: initialize highp vec4 halo_color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize lowp float halo_width\n", + "#pragma mapbox: initialize lowp float halo_blur\n", + "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n", + "camera_to_anchor_distance/u_camera_to_center_distance :\n", + "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`,Lu=`#define SDF_PX 8.0\n", + "#define SDF 1.0\n", + "#define ICON 0.0\n", + "uniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n", + "#pragma mapbox: define highp vec4 fill_color\n", + "#pragma mapbox: define highp vec4 halo_color\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp float halo_width\n", + "#pragma mapbox: define lowp float halo_blur\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 fill_color\n", + "#pragma mapbox: initialize highp vec4 halo_color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize lowp float halo_width\n", + "#pragma mapbox: initialize lowp float halo_blur\n", + "float fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "return;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,$h=`const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n", + "#pragma mapbox: define highp vec4 fill_color\n", + "#pragma mapbox: define highp vec4 halo_color\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp float halo_width\n", + "#pragma mapbox: define lowp float halo_blur\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 fill_color\n", + "#pragma mapbox: initialize highp vec4 halo_color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize lowp float halo_width\n", + "#pragma mapbox: initialize lowp float halo_blur\n", + "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n", + "camera_to_anchor_distance/u_camera_to_center_distance :\n", + "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`,eu=Is(Of,Gc),Pu=Is(vd,Bf),Lc=Is(ss,ff),fl=Is(ih,Ul),Xc=Is(Js,hc),ic=Is(Cc,ws),yu=Is($s,hs),Qs=Is(Ms,dc),Qh=Is(Sl,ec),gd=Is(Ps,ov),Gu=Is(wo,Od),Pc=Is($o,Ja),vc=Is(Ef,tc),sv=Is(uu,Mh),Lf=Is(jc,kf),Uf=Is(Ml,Yh),Iu=Is(Eh,nh),oh=Is(hf,kh),tu=Is(Kh,rc),vf=Is(ah,Wc),md=Is(df,Cu),sh=Is(Nf,Zc),Fs=Is(ds,Ch),_u=Is(Bd,Jh),xu=Is(Cf,pd),Lh=Is(Lu,$h);function Is(Y,z){var K=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,O=z.match(/attribute ([\\w]+) ([\\w]+)/g),$=Y.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),pe=z.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),de=pe?pe.concat($):$,Ie={};return Y=Y.replace(K,function($e,pt,Kt,ir,Jt){return Ie[Jt]=!0,pt===\"define\"?`\n", + "#ifndef HAS_UNIFORM_u_`+Jt+`\n", + "varying `+Kt+\" \"+ir+\" \"+Jt+`;\n", + "#else\n", + "uniform `+Kt+\" \"+ir+\" u_\"+Jt+`;\n", + "#endif\n", + "`:`\n", + "#ifdef HAS_UNIFORM_u_`+Jt+`\n", + " `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n", + "#endif\n", + "`}),z=z.replace(K,function($e,pt,Kt,ir,Jt){var vt=ir===\"float\"?\"vec2\":\"vec4\",Pt=Jt.match(/color/)?\"color\":vt;return Ie[Jt]?pt===\"define\"?`\n", + "#ifndef HAS_UNIFORM_u_`+Jt+`\n", + "uniform lowp float u_`+Jt+`_t;\n", + "attribute `+Kt+\" \"+vt+\" a_\"+Jt+`;\n", + "varying `+Kt+\" \"+ir+\" \"+Jt+`;\n", + "#else\n", + "uniform `+Kt+\" \"+ir+\" u_\"+Jt+`;\n", + "#endif\n", + "`:Pt===\"vec4\"?`\n", + "#ifndef HAS_UNIFORM_u_`+Jt+`\n", + " `+Jt+\" = a_\"+Jt+`;\n", + "#else\n", + " `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n", + "#endif\n", + "`:`\n", + "#ifndef HAS_UNIFORM_u_`+Jt+`\n", + " `+Jt+\" = unpack_mix_\"+Pt+\"(a_\"+Jt+\", u_\"+Jt+`_t);\n", + "#else\n", + " `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n", + "#endif\n", + "`:pt===\"define\"?`\n", + "#ifndef HAS_UNIFORM_u_`+Jt+`\n", + "uniform lowp float u_`+Jt+`_t;\n", + "attribute `+Kt+\" \"+vt+\" a_\"+Jt+`;\n", + "#else\n", + "uniform `+Kt+\" \"+ir+\" u_\"+Jt+`;\n", + "#endif\n", + "`:Pt===\"vec4\"?`\n", + "#ifndef HAS_UNIFORM_u_`+Jt+`\n", + " `+Kt+\" \"+ir+\" \"+Jt+\" = a_\"+Jt+`;\n", + "#else\n", + " `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n", + "#endif\n", + "`:`\n", + "#ifndef HAS_UNIFORM_u_`+Jt+`\n", + " `+Kt+\" \"+ir+\" \"+Jt+\" = unpack_mix_\"+Pt+\"(a_\"+Jt+\", u_\"+Jt+`_t);\n", + "#else\n", + " `+Kt+\" \"+ir+\" \"+Jt+\" = u_\"+Jt+`;\n", + "#endif\n", + "`}),{fragmentSource:Y,vertexSource:z,staticAttributes:O,staticUniforms:de}}var Pf=Object.freeze({__proto__:null,prelude:eu,background:Pu,backgroundPattern:Lc,circle:fl,clippingMask:Xc,heatmap:ic,heatmapTexture:yu,collisionBox:Qs,collisionCircle:Qh,debug:gd,fill:Gu,fillOutline:Pc,fillOutlinePattern:vc,fillPattern:sv,fillExtrusion:Lf,fillExtrusionPattern:Uf,hillshadePrepare:Iu,hillshade:oh,line:tu,lineGradient:vf,linePattern:md,lineSDF:sh,raster:Fs,symbolIcon:_u,symbolSDF:xu,symbolTextAndIcon:Lh}),Ic=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Ic.prototype.bind=function(z,K,O,$,pe,de,Ie,$e){this.context=z;for(var pt=this.boundPaintVertexBuffers.length!==$.length,Kt=0;!pt&&Kt<$.length;Kt++)this.boundPaintVertexBuffers[Kt]!==$[Kt]&&(pt=!0);var ir=!this.vao||this.boundProgram!==K||this.boundLayoutVertexBuffer!==O||pt||this.boundIndexBuffer!==pe||this.boundVertexOffset!==de||this.boundDynamicVertexBuffer!==Ie||this.boundDynamicVertexBuffer2!==$e;!z.extVertexArrayObject||ir?this.freshBind(K,O,$,pe,de,Ie,$e):(z.bindVertexArrayOES.set(this.vao),Ie&&Ie.bind(),pe&&pe.dynamicDraw&&pe.bind(),$e&&$e.bind())},Ic.prototype.freshBind=function(z,K,O,$,pe,de,Ie){var $e,pt=z.numAttributes,Kt=this.context,ir=Kt.gl;if(Kt.extVertexArrayObject)this.vao&&this.destroy(),this.vao=Kt.extVertexArrayObject.createVertexArrayOES(),Kt.bindVertexArrayOES.set(this.vao),$e=0,this.boundProgram=z,this.boundLayoutVertexBuffer=K,this.boundPaintVertexBuffers=O,this.boundIndexBuffer=$,this.boundVertexOffset=pe,this.boundDynamicVertexBuffer=de,this.boundDynamicVertexBuffer2=Ie;else{$e=Kt.currentNumAttributes||0;for(var Jt=pt;Jt<$e;Jt++)ir.disableVertexAttribArray(Jt)}K.enableAttributes(ir,z);for(var vt=0,Pt=O;vt>16,Ie>>16],u_pixel_coord_lower:[de&65535,Ie&65535]}}function pf(Y,z,K,O){var $=K.imageManager.getPattern(Y.from.toString()),pe=K.imageManager.getPattern(Y.to.toString()),de=K.imageManager.getPixelSize(),Ie=de.width,$e=de.height,pt=Math.pow(2,O.tileID.overscaledZ),Kt=O.tileSize*Math.pow(2,K.transform.tileZoom)/pt,ir=Kt*(O.tileID.canonical.x+O.tileID.wrap*pt),Jt=Kt*O.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:$.tl,u_pattern_br_a:$.br,u_pattern_tl_b:pe.tl,u_pattern_br_b:pe.br,u_texsize:[Ie,$e],u_mix:z.t,u_pattern_size_a:$.displaySize,u_pattern_size_b:pe.displaySize,u_scale_a:z.fromScale,u_scale_b:z.toScale,u_tile_units_to_pixels:1/Cs(O,1,K.transform.tileZoom),u_pixel_coord_upper:[ir>>16,Jt>>16],u_pixel_coord_lower:[ir&65535,Jt&65535]}}var Ph=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_lightpos:new i.Uniform3f(Y,z.u_lightpos),u_lightintensity:new i.Uniform1f(Y,z.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,z.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,z.u_vertical_gradient),u_opacity:new i.Uniform1f(Y,z.u_opacity)}},Rl=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_lightpos:new i.Uniform3f(Y,z.u_lightpos),u_lightintensity:new i.Uniform1f(Y,z.u_lightintensity),u_lightcolor:new i.Uniform3f(Y,z.u_lightcolor),u_vertical_gradient:new i.Uniform1f(Y,z.u_vertical_gradient),u_height_factor:new i.Uniform1f(Y,z.u_height_factor),u_image:new i.Uniform1i(Y,z.u_image),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,z.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,z.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,z.u_scale),u_fade:new i.Uniform1f(Y,z.u_fade),u_opacity:new i.Uniform1f(Y,z.u_opacity)}},Ih=function(Y,z,K,O){var $=z.style.light,pe=$.properties.get(\"position\"),de=[pe.x,pe.y,pe.z],Ie=i.create$1();$.properties.get(\"anchor\")===\"viewport\"&&i.fromRotation(Ie,-z.transform.angle),i.transformMat3(de,de,Ie);var $e=$.properties.get(\"color\");return{u_matrix:Y,u_lightpos:de,u_lightintensity:$.properties.get(\"intensity\"),u_lightcolor:[$e.r,$e.g,$e.b],u_vertical_gradient:+K,u_opacity:O}},Wu=function(Y,z,K,O,$,pe,de){return i.extend(Ih(Y,z,K,O),pc(pe,z,de),{u_height_factor:-Math.pow(2,$.overscaledZ)/de.tileSize/8})},Rc=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix)}},gc=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_image:new i.Uniform1i(Y,z.u_image),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,z.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,z.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,z.u_scale),u_fade:new i.Uniform1f(Y,z.u_fade)}},hl=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_world:new i.Uniform2f(Y,z.u_world)}},ru=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_world:new i.Uniform2f(Y,z.u_world),u_image:new i.Uniform1i(Y,z.u_image),u_texsize:new i.Uniform2f(Y,z.u_texsize),u_pixel_coord_upper:new i.Uniform2f(Y,z.u_pixel_coord_upper),u_pixel_coord_lower:new i.Uniform2f(Y,z.u_pixel_coord_lower),u_scale:new i.Uniform3f(Y,z.u_scale),u_fade:new i.Uniform1f(Y,z.u_fade)}},mc=function(Y){return{u_matrix:Y}},Yc=function(Y,z,K,O){return i.extend(mc(Y),pc(K,z,O))},nc=function(Y,z){return{u_matrix:Y,u_world:z}},gf=function(Y,z,K,O,$){return i.extend(Yc(Y,z,K,O),{u_world:$})},gt=function(Y,z){return{u_camera_to_center_distance:new i.Uniform1f(Y,z.u_camera_to_center_distance),u_scale_with_map:new i.Uniform1i(Y,z.u_scale_with_map),u_pitch_with_map:new i.Uniform1i(Y,z.u_pitch_with_map),u_extrude_scale:new i.Uniform2f(Y,z.u_extrude_scale),u_device_pixel_ratio:new i.Uniform1f(Y,z.u_device_pixel_ratio),u_matrix:new i.UniformMatrix4f(Y,z.u_matrix)}},Bt=function(Y,z,K,O){var $=Y.transform,pe,de;if(O.paint.get(\"circle-pitch-alignment\")===\"map\"){var Ie=Cs(K,1,$.zoom);pe=!0,de=[Ie,Ie]}else pe=!1,de=$.pixelsToGLUnits;return{u_camera_to_center_distance:$.cameraToCenterDistance,u_scale_with_map:+(O.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:Y.translatePosMatrix(z.posMatrix,K,O.paint.get(\"circle-translate\"),O.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+pe,u_device_pixel_ratio:i.browser.devicePixelRatio,u_extrude_scale:de}},wr=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_camera_to_center_distance:new i.Uniform1f(Y,z.u_camera_to_center_distance),u_pixels_to_tile_units:new i.Uniform1f(Y,z.u_pixels_to_tile_units),u_extrude_scale:new i.Uniform2f(Y,z.u_extrude_scale),u_overscale_factor:new i.Uniform1f(Y,z.u_overscale_factor)}},vr=function(Y,z){return{u_matrix:new i.UniformMatrix4f(Y,z.u_matrix),u_inv_matrix:new i.UniformMatrix4f(Y,z.u_inv_matrix),u_camera_to_center_distance:new i.Uniform1f(Y,z.u_camera_to_center_distance),u_viewport_size:new i.Uniform2f(Y,z.u_viewport_size)}},Ur=function(Y,z,K){var 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de=i.browser.now(),Ie=(de-Y.timeAdded)/pe,$e=z?(de-z.timeAdded)/pe:-1,pt=K.getSource(),Kt=$.coveringZoomLevel({tileSize:pt.tileSize,roundZoom:pt.roundZoom}),ir=!z||Math.abs(z.tileID.overscaledZ-Kt)>Math.abs(Y.tileID.overscaledZ-Kt),Jt=ir&&Y.refreshedUponExpiration?1:i.clamp(ir?Ie:1-$e,0,1);return Y.refreshedUponExpiration&&Ie>=1&&(Y.refreshedUponExpiration=!1),z?{opacity:1,mix:1-Jt}:{opacity:Jt,mix:0}}else return{opacity:1,mix:0}}function Ut(Y,z,K){var O=K.paint.get(\"background-color\"),$=K.paint.get(\"background-opacity\");if($!==0){var pe=Y.context,de=pe.gl,Ie=Y.transform,$e=Ie.tileSize,pt=K.paint.get(\"background-pattern\");if(!Y.isPatternMissing(pt)){var Kt=!pt&&O.a===1&&$===1&&Y.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(Y.renderPass===Kt){var ir=$i.disabled,Jt=Y.depthModeForSublayer(0,Kt===\"opaque\"?Wi.ReadWrite:Wi.ReadOnly),vt=Y.colorModeForRenderPass(),Pt=Y.useProgram(pt?\"backgroundPattern\":\"background\"),Wt=Ie.coveringTiles({tileSize:$e});pt&&(pe.activeTexture.set(de.TEXTURE0),Y.imageManager.bind(Y.context));for(var rr=K.getCrossfadeParameters(),dr=0,pr=Wt;dr \"+K.overscaledZ);var dr=rr+\" \"+vt+\"kb\";Ga(Y,dr),de.draw(O,$.TRIANGLES,Ie,$e,ft.alphaBlended,yr.disabled,Fi(pe,i.Color.transparent,Wt),Kt,Y.debugBuffer,Y.quadTriangleIndexBuffer,Y.debugSegments)}function Ga(Y,z){Y.initDebugOverlayCanvas();var K=Y.debugOverlayCanvas,O=Y.context.gl,$=Y.debugOverlayCanvas.getContext(\"2d\");$.clearRect(0,0,K.width,K.height),$.shadowColor=\"white\",$.shadowBlur=2,$.lineWidth=1.5,$.strokeStyle=\"white\",$.textBaseline=\"top\",$.font=\"bold 36px Open Sans, sans-serif\",$.fillText(z,5,5),$.strokeText(z,5,5),Y.debugOverlayTexture.update(K),Y.debugOverlayTexture.bind(O.LINEAR,O.CLAMP_TO_EDGE)}function To(Y,z,K){var O=Y.context,$=K.implementation;if(Y.renderPass===\"offscreen\"){var pe=$.prerender;pe&&(Y.setCustomLayerDefaults(),O.setColorMode(Y.colorModeForRenderPass()),pe.call($,O.gl,Y.transform.customLayerMatrix()),O.setDirty(),Y.setBaseState())}else if(Y.renderPass===\"translucent\"){Y.setCustomLayerDefaults(),O.setColorMode(Y.colorModeForRenderPass()),O.setStencilMode($i.disabled);var de=$.renderingMode===\"3d\"?new Wi(Y.context.gl.LEQUAL,Wi.ReadWrite,Y.depthRangeFor3D):Y.depthModeForSublayer(0,Wi.ReadOnly);O.setDepthMode(de),$.render(O.gl,Y.transform.customLayerMatrix()),O.setDirty(),Y.setBaseState(),O.bindFramebuffer.set(null)}}var Wa={symbol:w,circle:it,heatmap:yt,line:Sr,fill:he,\"fill-extrusion\":Pe,hillshade:Je,raster:Mt,background:Ut,debug:pa,custom:To},co=function(z,K){this.context=new Fr(z),this.transform=K,this._tileTextures={},this.setup(),this.numSublayers=Zr.maxUnderzooming+Zr.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new rh,this.gpuTimers={}};co.prototype.resize=function(z,K){if(this.width=z*i.browser.devicePixelRatio,this.height=K*i.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var O=0,$=this.style._order;O<$.length;O+=1){var pe=$[O];this.style._layers[pe].resize()}},co.prototype.setup=function(){var z=this.context,K=new i.StructArrayLayout2i4;K.emplaceBack(0,0),K.emplaceBack(i.EXTENT,0),K.emplaceBack(0,i.EXTENT),K.emplaceBack(i.EXTENT,i.EXTENT),this.tileExtentBuffer=z.createVertexBuffer(K,kc.members),this.tileExtentSegments=i.SegmentVector.simpleSegment(0,0,4,2);var O=new i.StructArrayLayout2i4;O.emplaceBack(0,0),O.emplaceBack(i.EXTENT,0),O.emplaceBack(0,i.EXTENT),O.emplaceBack(i.EXTENT,i.EXTENT),this.debugBuffer=z.createVertexBuffer(O,kc.members),this.debugSegments=i.SegmentVector.simpleSegment(0,0,4,5);var $=new i.StructArrayLayout4i8;$.emplaceBack(0,0,0,0),$.emplaceBack(i.EXTENT,0,i.EXTENT,0),$.emplaceBack(0,i.EXTENT,0,i.EXTENT),$.emplaceBack(i.EXTENT,i.EXTENT,i.EXTENT,i.EXTENT),this.rasterBoundsBuffer=z.createVertexBuffer($,Me.members),this.rasterBoundsSegments=i.SegmentVector.simpleSegment(0,0,4,2);var pe=new i.StructArrayLayout2i4;pe.emplaceBack(0,0),pe.emplaceBack(1,0),pe.emplaceBack(0,1),pe.emplaceBack(1,1),this.viewportBuffer=z.createVertexBuffer(pe,kc.members),this.viewportSegments=i.SegmentVector.simpleSegment(0,0,4,2);var de=new i.StructArrayLayout1ui2;de.emplaceBack(0),de.emplaceBack(1),de.emplaceBack(3),de.emplaceBack(2),de.emplaceBack(0),this.tileBorderIndexBuffer=z.createIndexBuffer(de);var Ie=new i.StructArrayLayout3ui6;Ie.emplaceBack(0,1,2),Ie.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=z.createIndexBuffer(Ie),this.emptyTexture=new i.Texture(z,{width:1,height:1,data:new Uint8Array([0,0,0,0])},z.gl.RGBA);var $e=this.context.gl;this.stencilClearMode=new $i({func:$e.ALWAYS,mask:0},0,255,$e.ZERO,$e.ZERO,$e.ZERO)},co.prototype.clearStencil=function(){var z=this.context,K=z.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var O=i.create();i.ortho(O,0,this.width,this.height,0,0,1),i.scale(O,O,[K.drawingBufferWidth,K.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(z,K.TRIANGLES,Wi.disabled,this.stencilClearMode,ft.disabled,yr.disabled,hn(O),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},co.prototype._renderTileClippingMasks=function(z,K){if(!(this.currentStencilSource===z.source||!z.isTileClipped()||!K||!K.length)){this.currentStencilSource=z.source;var O=this.context,$=O.gl;this.nextStencilID+K.length>256&&this.clearStencil(),O.setColorMode(ft.disabled),O.setDepthMode(Wi.disabled);var pe=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var de=0,Ie=K;de256&&this.clearStencil();var z=this.nextStencilID++,K=this.context.gl;return new $i({func:K.NOTEQUAL,mask:255},z,255,K.KEEP,K.KEEP,K.REPLACE)},co.prototype.stencilModeForClipping=function(z){var K=this.context.gl;return new $i({func:K.EQUAL,mask:255},this._tileClippingMaskIDs[z.key],0,K.KEEP,K.KEEP,K.REPLACE)},co.prototype.stencilConfigForOverlap=function(z){var K,O=this.context.gl,$=z.sort(function(pt,Kt){return Kt.overscaledZ-pt.overscaledZ}),pe=$[$.length-1].overscaledZ,de=$[0].overscaledZ-pe+1;if(de>1){this.currentStencilSource=void 0,this.nextStencilID+de>256&&this.clearStencil();for(var Ie={},$e=0;$e=0;this.currentLayer--){var Ar=this.style._layers[$[this.currentLayer]],gr=pe[Ar.source],Cr=$e[Ar.source];this._renderTileClippingMasks(Ar,Cr),this.renderLayer(this,gr,Ar,Cr)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<$.length;this.currentLayer++){var cr=this.style._layers[$[this.currentLayer]],Gr=pe[cr.source],ei=(cr.type===\"symbol\"?Kt:pt)[cr.source];this._renderTileClippingMasks(cr,$e[cr.source]),this.renderLayer(this,Gr,cr,ei)}if(this.options.showTileBoundaries){var yi,tn,Ri=i.values(this.style._layers);Ri.forEach(function(ln){ln.source&&!ln.isHidden(O.transform.zoom)&&(ln.source!==(tn&&tn.id)&&(tn=O.style.sourceCaches[ln.source]),(!yi||yi.getSource().maxzoom0?K.pop():null},co.prototype.isPatternMissing=function(z){if(!z)return!1;if(!z.from||!z.to)return!0;var K=this.imageManager.getPattern(z.from.toString()),O=this.imageManager.getPattern(z.to.toString());return!K||!O},co.prototype.useProgram=function(z,K){this.cache=this.cache||{};var O=\"\"+z+(K?K.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[O]||(this.cache[O]=new Vf(this.context,z,Pf[z],K,eo[z],this._showOverdrawInspector)),this.cache[O]},co.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},co.prototype.setBaseState=function(){var z=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(z.FUNC_ADD)},co.prototype.initDebugOverlayCanvas=function(){if(this.debugOverlayCanvas==null){this.debugOverlayCanvas=i.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var z=this.context.gl;this.debugOverlayTexture=new i.Texture(this.context,this.debugOverlayCanvas,z.RGBA)}},co.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Ro=function(z,K){this.points=z,this.planes=K};Ro.fromInvProjectionMatrix=function(z,K,O){var $=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]],pe=Math.pow(2,O),de=$.map(function(pt){return i.transformMat4([],pt,z)}).map(function(pt){return i.scale$1([],pt,1/pt[3]/K*pe)}),Ie=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]],$e=Ie.map(function(pt){var Kt=i.sub([],de[pt[0]],de[pt[1]]),ir=i.sub([],de[pt[2]],de[pt[1]]),Jt=i.normalize([],i.cross([],Kt,ir)),vt=-i.dot(Jt,de[pt[1]]);return Jt.concat(vt)});return new Ro(de,$e)};var Ds=function(z,K){this.min=z,this.max=K,this.center=i.scale$2([],i.add([],this.min,this.max),.5)};Ds.prototype.quadrant=function(z){for(var K=[z%2===0,z<2],O=i.clone$2(this.min),$=i.clone$2(this.max),pe=0;pe=0;if(de===0)return 0;de!==K.length&&(O=!1)}if(O)return 2;for(var $e=0;$e<3;$e++){for(var pt=Number.MAX_VALUE,Kt=-Number.MAX_VALUE,ir=0;irthis.max[$e]-this.min[$e])return 0}return 1};var As=function(z,K,O,$){if(z===void 0&&(z=0),K===void 0&&(K=0),O===void 0&&(O=0),$===void 0&&($=0),isNaN(z)||z<0||isNaN(K)||K<0||isNaN(O)||O<0||isNaN($)||$<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=z,this.bottom=K,this.left=O,this.right=$};As.prototype.interpolate=function(z,K,O){return K.top!=null&&z.top!=null&&(this.top=i.number(z.top,K.top,O)),K.bottom!=null&&z.bottom!=null&&(this.bottom=i.number(z.bottom,K.bottom,O)),K.left!=null&&z.left!=null&&(this.left=i.number(z.left,K.left,O)),K.right!=null&&z.right!=null&&(this.right=i.number(z.right,K.right,O)),this},As.prototype.getCenter=function(z,K){var O=i.clamp((this.left+z-this.right)/2,0,z),$=i.clamp((this.top+K-this.bottom)/2,0,K);return new i.Point(O,$)},As.prototype.equals=function(z){return this.top===z.top&&this.bottom===z.bottom&&this.left===z.left&&this.right===z.right},As.prototype.clone=function(){return new As(this.top,this.bottom,this.left,this.right)},As.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var yo=function(z,K,O,$,pe){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=pe===void 0?!0:pe,this._minZoom=z||0,this._maxZoom=K||22,this._minPitch=O==null?0:O,this._maxPitch=$==null?60:$,this.setMaxBounds(),this.width=0,this.height=0,this._center=new i.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new As,this._posMatrixCache={},this._alignedPosMatrixCache={}},po={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};yo.prototype.clone=function(){var z=new yo(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return z.tileSize=this.tileSize,z.latRange=this.latRange,z.width=this.width,z.height=this.height,z._center=this._center,z.zoom=this.zoom,z.angle=this.angle,z._fov=this._fov,z._pitch=this._pitch,z._unmodified=this._unmodified,z._edgeInsets=this._edgeInsets.clone(),z._calcMatrices(),z},po.minZoom.get=function(){return this._minZoom},po.minZoom.set=function(Y){this._minZoom!==Y&&(this._minZoom=Y,this.zoom=Math.max(this.zoom,Y))},po.maxZoom.get=function(){return this._maxZoom},po.maxZoom.set=function(Y){this._maxZoom!==Y&&(this._maxZoom=Y,this.zoom=Math.min(this.zoom,Y))},po.minPitch.get=function(){return this._minPitch},po.minPitch.set=function(Y){this._minPitch!==Y&&(this._minPitch=Y,this.pitch=Math.max(this.pitch,Y))},po.maxPitch.get=function(){return this._maxPitch},po.maxPitch.set=function(Y){this._maxPitch!==Y&&(this._maxPitch=Y,this.pitch=Math.min(this.pitch,Y))},po.renderWorldCopies.get=function(){return this._renderWorldCopies},po.renderWorldCopies.set=function(Y){Y===void 0?Y=!0:Y===null&&(Y=!1),this._renderWorldCopies=Y},po.worldSize.get=function(){return this.tileSize*this.scale},po.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},po.size.get=function(){return new i.Point(this.width,this.height)},po.bearing.get=function(){return-this.angle/Math.PI*180},po.bearing.set=function(Y){var z=-i.wrap(Y,-180,180)*Math.PI/180;this.angle!==z&&(this._unmodified=!1,this.angle=z,this._calcMatrices(),this.rotationMatrix=i.create$2(),i.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},po.pitch.get=function(){return this._pitch/Math.PI*180},po.pitch.set=function(Y){var z=i.clamp(Y,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==z&&(this._unmodified=!1,this._pitch=z,this._calcMatrices())},po.fov.get=function(){return this._fov/Math.PI*180},po.fov.set=function(Y){Y=Math.max(.01,Math.min(60,Y)),this._fov!==Y&&(this._unmodified=!1,this._fov=Y/180*Math.PI,this._calcMatrices())},po.zoom.get=function(){return this._zoom},po.zoom.set=function(Y){var z=Math.min(Math.max(Y,this.minZoom),this.maxZoom);this._zoom!==z&&(this._unmodified=!1,this._zoom=z,this.scale=this.zoomScale(z),this.tileZoom=Math.floor(z),this.zoomFraction=z-this.tileZoom,this._constrain(),this._calcMatrices())},po.center.get=function(){return this._center},po.center.set=function(Y){Y.lat===this._center.lat&&Y.lng===this._center.lng||(this._unmodified=!1,this._center=Y,this._constrain(),this._calcMatrices())},po.padding.get=function(){return this._edgeInsets.toJSON()},po.padding.set=function(Y){this._edgeInsets.equals(Y)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,Y,1),this._calcMatrices())},po.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},yo.prototype.isPaddingEqual=function(z){return this._edgeInsets.equals(z)},yo.prototype.interpolatePadding=function(z,K,O){this._unmodified=!1,this._edgeInsets.interpolate(z,K,O),this._constrain(),this._calcMatrices()},yo.prototype.coveringZoomLevel=function(z){var K=(z.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/z.tileSize));return Math.max(0,K)},yo.prototype.getVisibleUnwrappedCoordinates=function(z){var K=[new i.UnwrappedTileID(0,z)];if(this._renderWorldCopies)for(var O=this.pointCoordinate(new i.Point(0,0)),$=this.pointCoordinate(new i.Point(this.width,0)),pe=this.pointCoordinate(new i.Point(this.width,this.height)),de=this.pointCoordinate(new i.Point(0,this.height)),Ie=Math.floor(Math.min(O.x,$.x,pe.x,de.x)),$e=Math.floor(Math.max(O.x,$.x,pe.x,de.x)),pt=1,Kt=Ie-pt;Kt<=$e+pt;Kt++)Kt!==0&&K.push(new i.UnwrappedTileID(Kt,z));return K},yo.prototype.coveringTiles=function(z){var K=this.coveringZoomLevel(z),O=K;if(z.minzoom!==void 0&&Kz.maxzoom&&(K=z.maxzoom);var $=i.MercatorCoordinate.fromLngLat(this.center),pe=Math.pow(2,K),de=[pe*$.x,pe*$.y,0],Ie=Ro.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,K),$e=z.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&($e=K);var pt=3,Kt=function(Ri){return{aabb:new Ds([Ri*pe,0,0],[(Ri+1)*pe,pe,0]),zoom:0,x:0,y:0,wrap:Ri,fullyVisible:!1}},ir=[],Jt=[],vt=K,Pt=z.reparseOverscaled?O:K;if(this._renderWorldCopies)for(var Wt=1;Wt<=3;Wt++)ir.push(Kt(-Wt)),ir.push(Kt(Wt));for(ir.push(Kt(0));ir.length>0;){var rr=ir.pop(),dr=rr.x,pr=rr.y,kr=rr.fullyVisible;if(!kr){var Ar=rr.aabb.intersects(Ie);if(Ar===0)continue;kr=Ar===2}var gr=rr.aabb.distanceX(de),Cr=rr.aabb.distanceY(de),cr=Math.max(Math.abs(gr),Math.abs(Cr)),Gr=pt+(1<Gr&&rr.zoom>=$e){Jt.push({tileID:new i.OverscaledTileID(rr.zoom===vt?Pt:rr.zoom,rr.wrap,rr.zoom,dr,pr),distanceSq:i.sqrLen([de[0]-.5-dr,de[1]-.5-pr])});continue}for(var ei=0;ei<4;ei++){var yi=(dr<<1)+ei%2,tn=(pr<<1)+(ei>>1);ir.push({aabb:rr.aabb.quadrant(ei),zoom:rr.zoom+1,x:yi,y:tn,wrap:rr.wrap,fullyVisible:kr})}}return Jt.sort(function(Ri,ln){return Ri.distanceSq-ln.distanceSq}).map(function(Ri){return Ri.tileID})},yo.prototype.resize=function(z,K){this.width=z,this.height=K,this.pixelsToGLUnits=[2/z,-2/K],this._constrain(),this._calcMatrices()},po.unmodified.get=function(){return this._unmodified},yo.prototype.zoomScale=function(z){return Math.pow(2,z)},yo.prototype.scaleZoom=function(z){return Math.log(z)/Math.LN2},yo.prototype.project=function(z){var K=i.clamp(z.lat,-this.maxValidLatitude,this.maxValidLatitude);return new i.Point(i.mercatorXfromLng(z.lng)*this.worldSize,i.mercatorYfromLat(K)*this.worldSize)},yo.prototype.unproject=function(z){return new i.MercatorCoordinate(z.x/this.worldSize,z.y/this.worldSize).toLngLat()},po.point.get=function(){return this.project(this.center)},yo.prototype.setLocationAtPoint=function(z,K){var O=this.pointCoordinate(K),$=this.pointCoordinate(this.centerPoint),pe=this.locationCoordinate(z),de=new i.MercatorCoordinate(pe.x-(O.x-$.x),pe.y-(O.y-$.y));this.center=this.coordinateLocation(de),this._renderWorldCopies&&(this.center=this.center.wrap())},yo.prototype.locationPoint=function(z){return this.coordinatePoint(this.locationCoordinate(z))},yo.prototype.pointLocation=function(z){return this.coordinateLocation(this.pointCoordinate(z))},yo.prototype.locationCoordinate=function(z){return i.MercatorCoordinate.fromLngLat(z)},yo.prototype.coordinateLocation=function(z){return z.toLngLat()},yo.prototype.pointCoordinate=function(z){var K=0,O=[z.x,z.y,0,1],$=[z.x,z.y,1,1];i.transformMat4(O,O,this.pixelMatrixInverse),i.transformMat4($,$,this.pixelMatrixInverse);var pe=O[3],de=$[3],Ie=O[0]/pe,$e=$[0]/de,pt=O[1]/pe,Kt=$[1]/de,ir=O[2]/pe,Jt=$[2]/de,vt=ir===Jt?0:(K-ir)/(Jt-ir);return new i.MercatorCoordinate(i.number(Ie,$e,vt)/this.worldSize,i.number(pt,Kt,vt)/this.worldSize)},yo.prototype.coordinatePoint=function(z){var K=[z.x*this.worldSize,z.y*this.worldSize,0,1];return i.transformMat4(K,K,this.pixelMatrix),new i.Point(K[0]/K[3],K[1]/K[3])},yo.prototype.getBounds=function(){return new i.LngLatBounds().extend(this.pointLocation(new i.Point(0,0))).extend(this.pointLocation(new i.Point(this.width,0))).extend(this.pointLocation(new i.Point(this.width,this.height))).extend(this.pointLocation(new i.Point(0,this.height)))},yo.prototype.getMaxBounds=function(){return!this.latRange||this.latRange.length!==2||!this.lngRange||this.lngRange.length!==2?null:new i.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]])},yo.prototype.setMaxBounds=function(z){z?(this.lngRange=[z.getWest(),z.getEast()],this.latRange=[z.getSouth(),z.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},yo.prototype.calculatePosMatrix=function(z,K){K===void 0&&(K=!1);var O=z.key,$=K?this._alignedPosMatrixCache:this._posMatrixCache;if($[O])return $[O];var pe=z.canonical,de=this.worldSize/this.zoomScale(pe.z),Ie=pe.x+Math.pow(2,pe.z)*z.wrap,$e=i.identity(new Float64Array(16));return i.translate($e,$e,[Ie*de,pe.y*de,0]),i.scale($e,$e,[de/i.EXTENT,de/i.EXTENT,1]),i.multiply($e,K?this.alignedProjMatrix:this.projMatrix,$e),$[O]=new Float32Array($e),$[O]},yo.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},yo.prototype._constrain=function(){if(!(!this.center||!this.width||!this.height||this._constraining)){this._constraining=!0;var z=-90,K=90,O=-180,$=180,pe,de,Ie,$e,pt=this.size,Kt=this._unmodified;if(this.latRange){var ir=this.latRange;z=i.mercatorYfromLat(ir[1])*this.worldSize,K=i.mercatorYfromLat(ir[0])*this.worldSize,pe=K-zK&&($e=K-rr)}if(this.lngRange){var dr=vt.x,pr=pt.x/2;dr-pr$&&(Ie=$-pr)}(Ie!==void 0||$e!==void 0)&&(this.center=this.unproject(new i.Point(Ie!==void 0?Ie:vt.x,$e!==void 0?$e:vt.y))),this._unmodified=Kt,this._constraining=!1}},yo.prototype._calcMatrices=function(){if(this.height){var z=this._fov/2,K=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(z)*this.height;var O=Math.PI/2+this._pitch,$=this._fov*(.5+K.y/this.height),pe=Math.sin($)*this.cameraToCenterDistance/Math.sin(i.clamp(Math.PI-O-$,.01,Math.PI-.01)),de=this.point,Ie=de.x,$e=de.y,pt=Math.cos(Math.PI/2-this._pitch)*pe+this.cameraToCenterDistance,Kt=pt*1.01,ir=this.height/50,Jt=new Float64Array(16);i.perspective(Jt,this._fov,this.width/this.height,ir,Kt),Jt[8]=-K.x*2/this.width,Jt[9]=K.y*2/this.height,i.scale(Jt,Jt,[1,-1,1]),i.translate(Jt,Jt,[0,0,-this.cameraToCenterDistance]),i.rotateX(Jt,Jt,this._pitch),i.rotateZ(Jt,Jt,this.angle),i.translate(Jt,Jt,[-Ie,-$e,0]),this.mercatorMatrix=i.scale([],Jt,[this.worldSize,this.worldSize,this.worldSize]),i.scale(Jt,Jt,[1,1,i.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=Jt,this.invProjMatrix=i.invert([],this.projMatrix);var vt=this.width%2/2,Pt=this.height%2/2,Wt=Math.cos(this.angle),rr=Math.sin(this.angle),dr=Ie-Math.round(Ie)+Wt*vt+rr*Pt,pr=$e-Math.round($e)+Wt*Pt+rr*vt,kr=new Float64Array(Jt);if(i.translate(kr,kr,[dr>.5?dr-1:dr,pr>.5?pr-1:pr,0]),this.alignedProjMatrix=kr,Jt=i.create(),i.scale(Jt,Jt,[this.width/2,-this.height/2,1]),i.translate(Jt,Jt,[1,-1,0]),this.labelPlaneMatrix=Jt,Jt=i.create(),i.scale(Jt,Jt,[1,-1,1]),i.translate(Jt,Jt,[-1,-1,0]),i.scale(Jt,Jt,[2/this.width,2/this.height,1]),this.glCoordMatrix=Jt,this.pixelMatrix=i.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),Jt=i.invert(new Float64Array(16),this.pixelMatrix),!Jt)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=Jt,this._posMatrixCache={},this._alignedPosMatrixCache={}}},yo.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var z=this.pointCoordinate(new i.Point(0,0)),K=[z.x*this.worldSize,z.y*this.worldSize,0,1],O=i.transformMat4(K,K,this.pixelMatrix);return O[3]/this.cameraToCenterDistance},yo.prototype.getCameraPoint=function(){var z=this._pitch,K=Math.tan(z)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new i.Point(0,K))},yo.prototype.getCameraQueryGeometry=function(z){var K=this.getCameraPoint();if(z.length===1)return[z[0],K];for(var O=K.x,$=K.y,pe=K.x,de=K.y,Ie=0,$e=z;Ie<$e.length;Ie+=1){var pt=$e[Ie];O=Math.min(O,pt.x),$=Math.min($,pt.y),pe=Math.max(pe,pt.x),de=Math.max(de,pt.y)}return[new i.Point(O,$),new i.Point(pe,$),new i.Point(pe,de),new i.Point(O,de),new i.Point(O,$)]},Object.defineProperties(yo.prototype,po);function _l(Y,z){var K=!1,O=null,$=function(){O=null,K&&(Y(),O=setTimeout($,z),K=!1)};return function(){return K=!0,O||$(),O}}var Vl=function(z){this._hashName=z&&encodeURIComponent(z),i.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=_l(this._updateHashUnthrottled.bind(this),30*1e3/100)};Vl.prototype.addTo=function(z){return this._map=z,i.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Vl.prototype.remove=function(){return i.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Vl.prototype.getHashString=function(z){var K=this._map.getCenter(),O=Math.round(this._map.getZoom()*100)/100,$=Math.ceil((O*Math.LN2+Math.log(512/360/.5))/Math.LN10),pe=Math.pow(10,$),de=Math.round(K.lng*pe)/pe,Ie=Math.round(K.lat*pe)/pe,$e=this._map.getBearing(),pt=this._map.getPitch(),Kt=\"\";if(z?Kt+=\"/\"+de+\"/\"+Ie+\"/\"+O:Kt+=O+\"/\"+Ie+\"/\"+de,($e||pt)&&(Kt+=\"/\"+Math.round($e*10)/10),pt&&(Kt+=\"/\"+Math.round(pt)),this._hashName){var ir=this._hashName,Jt=!1,vt=i.window.location.hash.slice(1).split(\"&\").map(function(Pt){var Wt=Pt.split(\"=\")[0];return Wt===ir?(Jt=!0,Wt+\"=\"+Kt):Pt}).filter(function(Pt){return Pt});return Jt||vt.push(ir+\"=\"+Kt),\"#\"+vt.join(\"&\")}return\"#\"+Kt},Vl.prototype._getCurrentHash=function(){var z=this,K=i.window.location.hash.replace(\"#\",\"\");if(this._hashName){var O;return K.split(\"&\").map(function($){return $.split(\"=\")}).forEach(function($){$[0]===z._hashName&&(O=$)}),(O&&O[1]||\"\").split(\"/\")}return K.split(\"/\")},Vl.prototype._onHashChange=function(){var z=this._getCurrentHash();if(z.length>=3&&!z.some(function(O){return isNaN(O)})){var K=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(z[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+z[2],+z[1]],zoom:+z[0],bearing:K,pitch:+(z[4]||0)}),!0}return!1},Vl.prototype._updateHashUnthrottled=function(){var z=i.window.location.href.replace(/(#.+)?$/,this.getHashString());try{i.window.history.replaceState(i.window.history.state,null,z)}catch(K){}};var Zu={linearity:.3,easing:i.bezier(0,0,.3,1)},cu=i.extend({deceleration:2500,maxSpeed:1400},Zu),el=i.extend({deceleration:20,maxSpeed:1400},Zu),nu=i.extend({deceleration:1e3,maxSpeed:360},Zu),zc=i.extend({deceleration:1e3,maxSpeed:90},Zu),Dl=function(z){this._map=z,this.clear()};Dl.prototype.clear=function(){this._inertiaBuffer=[]},Dl.prototype.record=function(z){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:i.browser.now(),settings:z})},Dl.prototype._drainInertiaBuffer=function(){for(var z=this._inertiaBuffer,K=i.browser.now(),O=160;z.length>0&&K-z[0].time>O;)z.shift()},Dl.prototype._onMoveEnd=function(z){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var K={zoom:0,bearing:0,pitch:0,pan:new i.Point(0,0),pinchAround:void 0,around:void 0},O=0,$=this._inertiaBuffer;O<$.length;O+=1){var pe=$[O],de=pe.settings;K.zoom+=de.zoomDelta||0,K.bearing+=de.bearingDelta||0,K.pitch+=de.pitchDelta||0,de.panDelta&&K.pan._add(de.panDelta),de.around&&(K.around=de.around),de.pinchAround&&(K.pinchAround=de.pinchAround)}var Ie=this._inertiaBuffer[this._inertiaBuffer.length-1],$e=Ie.time-this._inertiaBuffer[0].time,pt={};if(K.pan.mag()){var Kt=Z(K.pan.mag(),$e,i.extend({},cu,z||{}));pt.offset=K.pan.mult(Kt.amount/K.pan.mag()),pt.center=this._map.transform.center,zl(pt,Kt)}if(K.zoom){var ir=Z(K.zoom,$e,el);pt.zoom=this._map.transform.zoom+ir.amount,zl(pt,ir)}if(K.bearing){var Jt=Z(K.bearing,$e,nu);pt.bearing=this._map.transform.bearing+i.clamp(Jt.amount,-179,179),zl(pt,Jt)}if(K.pitch){var vt=Z(K.pitch,$e,zc);pt.pitch=this._map.transform.pitch+vt.amount,zl(pt,vt)}if(pt.zoom||pt.bearing){var Pt=K.pinchAround===void 0?K.around:K.pinchAround;pt.around=Pt?this._map.unproject(Pt):this._map.getCenter()}return this.clear(),i.extend(pt,{noMoveStart:!0})}};function zl(Y,z){(!Y.duration||Y.duration=this._clickTolerance||this._map.fire(new oe(z.type,this._map,z))},Ue.prototype.dblclick=function(z){return this._firePreventable(new oe(z.type,this._map,z))},Ue.prototype.mouseover=function(z){this._map.fire(new oe(z.type,this._map,z))},Ue.prototype.mouseout=function(z){this._map.fire(new oe(z.type,this._map,z))},Ue.prototype.touchstart=function(z){return this._firePreventable(new we(z.type,this._map,z))},Ue.prototype.touchmove=function(z){this._map.fire(new we(z.type,this._map,z))},Ue.prototype.touchend=function(z){this._map.fire(new we(z.type,this._map,z))},Ue.prototype.touchcancel=function(z){this._map.fire(new we(z.type,this._map,z))},Ue.prototype._firePreventable=function(z){if(this._map.fire(z),z.defaultPrevented)return{}},Ue.prototype.isEnabled=function(){return!0},Ue.prototype.isActive=function(){return!1},Ue.prototype.enable=function(){},Ue.prototype.disable=function(){};var We=function(z){this._map=z};We.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},We.prototype.mousemove=function(z){this._map.fire(new oe(z.type,this._map,z))},We.prototype.mousedown=function(){this._delayContextMenu=!0},We.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new oe(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},We.prototype.contextmenu=function(z){this._delayContextMenu?this._contextMenuEvent=z:this._map.fire(new oe(z.type,this._map,z)),this._map.listens(\"contextmenu\")&&z.preventDefault()},We.prototype.isEnabled=function(){return!0},We.prototype.isActive=function(){return!1},We.prototype.enable=function(){},We.prototype.disable=function(){};var wt=function(z,K){this._map=z,this._el=z.getCanvasContainer(),this._container=z.getContainer(),this._clickTolerance=K.clickTolerance||1};wt.prototype.isEnabled=function(){return!!this._enabled},wt.prototype.isActive=function(){return!!this._active},wt.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},wt.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},wt.prototype.mousedown=function(z,K){this.isEnabled()&&z.shiftKey&&z.button===0&&(o.disableDrag(),this._startPos=this._lastPos=K,this._active=!0)},wt.prototype.mousemoveWindow=function(z,K){if(this._active){var O=K;if(!(this._lastPos.equals(O)||!this._box&&O.dist(this._startPos)this.numTouches)&&(this.aborted=!0),!this.aborted&&(this.startTime===void 0&&(this.startTime=z.timeStamp),O.length===this.numTouches&&(this.centroid=zt(K),this.touches=tt(O,K)))},Ir.prototype.touchmove=function(z,K,O){if(!(this.aborted||!this.centroid)){var $=tt(O,K);for(var pe in this.touches){var de=this.touches[pe],Ie=$[pe];(!Ie||Ie.dist(de)>Dr)&&(this.aborted=!0)}}},Ir.prototype.touchend=function(z,K,O){if((!this.centroid||z.timeStamp-this.startTime>lr)&&(this.aborted=!0),O.length===0){var $=!this.aborted&&this.centroid;if(this.reset(),$)return $}};var oi=function(z){this.singleTap=new Ir(z),this.numTaps=z.numTaps,this.reset()};oi.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},oi.prototype.touchstart=function(z,K,O){this.singleTap.touchstart(z,K,O)},oi.prototype.touchmove=function(z,K,O){this.singleTap.touchmove(z,K,O)},oi.prototype.touchend=function(z,K,O){var $=this.singleTap.touchend(z,K,O);if($){var pe=z.timeStamp-this.lastTime0&&(this._active=!0);var $=tt(O,K),pe=new i.Point(0,0),de=new i.Point(0,0),Ie=0;for(var $e in $){var pt=$[$e],Kt=this._touches[$e];Kt&&(pe._add(pt),de._add(pt.sub(Kt)),Ie++,$[$e]=pt)}if(this._touches=$,!(IeMath.abs(Y.x)}var pn=100,za=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.reset=function(){Y.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},z.prototype._start=function(O){this._lastPoints=O,Ns(O[0].sub(O[1]))&&(this._valid=!1)},z.prototype._move=function(O,$,pe){var de=O[0].sub(this._lastPoints[0]),Ie=O[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(de,Ie,pe.timeStamp),!!this._valid){this._lastPoints=O,this._active=!0;var $e=(de.y+Ie.y)/2,pt=-.5;return{pitchDelta:$e*pt}}},z.prototype.gestureBeginsVertically=function(O,$,pe){if(this._valid!==void 0)return this._valid;var de=2,Ie=O.mag()>=de,$e=$.mag()>=de;if(!(!Ie&&!$e)){if(!Ie||!$e)return this._firstMove===void 0&&(this._firstMove=pe),pe-this._firstMove0==$.y>0;return Ns(O)&&Ns($)&&pt}},z}(Nn),Lo={panStep:100,bearingStep:15,pitchStep:10},Fo=function(){var z=Lo;this._panStep=z.panStep,this._bearingStep=z.bearingStep,this._pitchStep=z.pitchStep,this._rotationDisabled=!1};Fo.prototype.reset=function(){this._active=!1},Fo.prototype.keydown=function(z){var K=this;if(!(z.altKey||z.ctrlKey||z.metaKey)){var O=0,$=0,pe=0,de=0,Ie=0;switch(z.keyCode){case 61:case 107:case 171:case 187:O=1;break;case 189:case 109:case 173:O=-1;break;case 37:z.shiftKey?$=-1:(z.preventDefault(),de=-1);break;case 39:z.shiftKey?$=1:(z.preventDefault(),de=1);break;case 38:z.shiftKey?pe=1:(z.preventDefault(),Ie=-1);break;case 40:z.shiftKey?pe=-1:(z.preventDefault(),Ie=1);break;default:return}return this._rotationDisabled&&($=0,pe=0),{cameraAnimation:function($e){var pt=$e.getZoom();$e.easeTo({duration:300,easeId:\"keyboardHandler\",easing:js,zoom:O?Math.round(pt)+O*(z.shiftKey?2:1):pt,bearing:$e.getBearing()+$*K._bearingStep,pitch:$e.getPitch()+pe*K._pitchStep,offset:[-de*K._panStep,-Ie*K._panStep],center:$e.getCenter()},{originalEvent:z})}}}},Fo.prototype.enable=function(){this._enabled=!0},Fo.prototype.disable=function(){this._enabled=!1,this.reset()},Fo.prototype.isEnabled=function(){return this._enabled},Fo.prototype.isActive=function(){return this._active},Fo.prototype.disableRotation=function(){this._rotationDisabled=!0},Fo.prototype.enableRotation=function(){this._rotationDisabled=!1};function js(Y){return Y*(2-Y)}var xl=4.000244140625,fu=1/100,dl=1/450,xc=2,At=function(z,K){this._map=z,this._el=z.getCanvasContainer(),this._handler=K,this._delta=0,this._defaultZoomRate=fu,this._wheelZoomRate=dl,i.bindAll([\"_onTimeout\"],this)};At.prototype.setZoomRate=function(z){this._defaultZoomRate=z},At.prototype.setWheelZoomRate=function(z){this._wheelZoomRate=z},At.prototype.isEnabled=function(){return!!this._enabled},At.prototype.isActive=function(){return!!this._active||this._finishTimeout!==void 0},At.prototype.isZooming=function(){return!!this._zooming},At.prototype.enable=function(z){this.isEnabled()||(this._enabled=!0,this._aroundCenter=z&&z.around===\"center\")},At.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},At.prototype.wheel=function(z){if(this.isEnabled()){var K=z.deltaMode===i.window.WheelEvent.DOM_DELTA_LINE?z.deltaY*40:z.deltaY,O=i.browser.now(),$=O-(this._lastWheelEventTime||0);this._lastWheelEventTime=O,K!==0&&K%xl===0?this._type=\"wheel\":K!==0&&Math.abs(K)<4?this._type=\"trackpad\":$>400?(this._type=null,this._lastValue=K,this._timeout=setTimeout(this._onTimeout,40,z)):this._type||(this._type=Math.abs($*K)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,K+=this._lastValue)),z.shiftKey&&K&&(K=K/4),this._type&&(this._lastWheelEvent=z,this._delta-=K,this._active||this._start(z)),z.preventDefault()}},At.prototype._onTimeout=function(z){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(z)},At.prototype._start=function(z){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var K=o.mousePos(this._el,z);this._around=i.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(K)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},At.prototype.renderFrame=function(){var z=this;if(this._frameId&&(this._frameId=null,!!this.isActive())){var K=this._map.transform;if(this._delta!==0){var O=this._type===\"wheel\"&&Math.abs(this._delta)>xl?this._wheelZoomRate:this._defaultZoomRate,$=xc/(1+Math.exp(-Math.abs(this._delta*O)));this._delta<0&&$!==0&&($=1/$);var pe=typeof this._targetZoom==\"number\"?K.zoomScale(this._targetZoom):K.scale;this._targetZoom=Math.min(K.maxZoom,Math.max(K.minZoom,K.scaleZoom(pe*$))),this._type===\"wheel\"&&(this._startZoom=K.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var de=typeof this._targetZoom==\"number\"?this._targetZoom:K.zoom,Ie=this._startZoom,$e=this._easing,pt=!1,Kt;if(this._type===\"wheel\"&&Ie&&$e){var ir=Math.min((i.browser.now()-this._lastWheelEventTime)/200,1),Jt=$e(ir);Kt=i.number(Ie,de,Jt),ir<1?this._frameId||(this._frameId=!0):pt=!0}else Kt=de,pt=!0;return this._active=!0,pt&&(this._active=!1,this._finishTimeout=setTimeout(function(){z._zooming=!1,z._handler._triggerRenderFrame(),delete z._targetZoom,delete z._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!pt,zoomDelta:Kt-K.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},At.prototype._smoothOutEasing=function(z){var K=i.ease;if(this._prevEase){var O=this._prevEase,$=(i.browser.now()-O.start)/O.duration,pe=O.easing($+.01)-O.easing($),de=.27/Math.sqrt(pe*pe+1e-4)*.01,Ie=Math.sqrt(.27*.27-de*de);K=i.bezier(de,Ie,.25,1)}return this._prevEase={start:i.browser.now(),duration:z,easing:K},K},At.prototype.reset=function(){this._active=!1};var Er=function(z,K){this._clickZoom=z,this._tapZoom=K};Er.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},Er.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},Er.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},Er.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var Wr=function(){this.reset()};Wr.prototype.reset=function(){this._active=!1},Wr.prototype.dblclick=function(z,K){return z.preventDefault(),{cameraAnimation:function(O){O.easeTo({duration:300,zoom:O.getZoom()+(z.shiftKey?-1:1),around:O.unproject(K)},{originalEvent:z})}}},Wr.prototype.enable=function(){this._enabled=!0},Wr.prototype.disable=function(){this._enabled=!1,this.reset()},Wr.prototype.isEnabled=function(){return this._enabled},Wr.prototype.isActive=function(){return this._active};var wi=function(){this._tap=new oi({numTouches:1,numTaps:1}),this.reset()};wi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},wi.prototype.touchstart=function(z,K,O){this._swipePoint||(this._tapTime&&z.timeStamp-this._tapTime>or&&this.reset(),this._tapTime?O.length>0&&(this._swipePoint=K[0],this._swipeTouch=O[0].identifier):this._tap.touchstart(z,K,O))},wi.prototype.touchmove=function(z,K,O){if(!this._tapTime)this._tap.touchmove(z,K,O);else if(this._swipePoint){if(O[0].identifier!==this._swipeTouch)return;var $=K[0],pe=$.y-this._swipePoint.y;return this._swipePoint=$,z.preventDefault(),this._active=!0,{zoomDelta:pe/128}}},wi.prototype.touchend=function(z,K,O){if(this._tapTime)this._swipePoint&&O.length===0&&this.reset();else{var $=this._tap.touchend(z,K,O);$&&(this._tapTime=z.timeStamp)}},wi.prototype.touchcancel=function(){this.reset()},wi.prototype.enable=function(){this._enabled=!0},wi.prototype.disable=function(){this._enabled=!1,this.reset()},wi.prototype.isEnabled=function(){return this._enabled},wi.prototype.isActive=function(){return this._active};var Ui=function(z,K,O){this._el=z,this._mousePan=K,this._touchPan=O};Ui.prototype.enable=function(z){this._inertiaOptions=z||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},Ui.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},Ui.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},Ui.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var Oi=function(z,K,O){this._pitchWithRotate=z.pitchWithRotate,this._mouseRotate=K,this._mousePitch=O};Oi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},Oi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},Oi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},Oi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var Bi=function(z,K,O,$){this._el=z,this._touchZoom=K,this._touchRotate=O,this._tapDragZoom=$,this._rotationDisabled=!1,this._enabled=!0};Bi.prototype.enable=function(z){this._touchZoom.enable(z),this._rotationDisabled||this._touchRotate.enable(z),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},Bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},Bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},Bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},Bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},Bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var cn=function(Y){return Y.zoom||Y.drag||Y.pitch||Y.rotate},On=function(Y){function z(){Y.apply(this,arguments)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z}(i.Event);function Bn(Y){return Y.panDelta&&Y.panDelta.mag()||Y.zoomDelta||Y.bearingDelta||Y.pitchDelta}var yn=function(z,K){this._map=z,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Dl(z),this._bearingSnap=K.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(K),i.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var O=this._el;this._listeners=[[O,\"touchstart\",{passive:!0}],[O,\"touchmove\",{passive:!1}],[O,\"touchend\",void 0],[O,\"touchcancel\",void 0],[O,\"mousedown\",void 0],[O,\"mousemove\",void 0],[O,\"mouseup\",void 0],[i.window.document,\"mousemove\",{capture:!0}],[i.window.document,\"mouseup\",void 0],[O,\"mouseover\",void 0],[O,\"mouseout\",void 0],[O,\"dblclick\",void 0],[O,\"click\",void 0],[O,\"keydown\",{capture:!1}],[O,\"keyup\",void 0],[O,\"wheel\",{passive:!1}],[O,\"contextmenu\",void 0],[i.window,\"blur\",void 0]];for(var $=0,pe=this._listeners;$Ie?Math.min(2,gr):Math.max(.5,gr),Ri=Math.pow(tn,1-ei),ln=de.unproject(kr.add(Ar.mult(ei*Ri)).mult(yi));de.setLocationAtPoint(de.renderWorldCopies?ln.wrap():ln,rr)}pe._fireMoveEvents($)},function(ei){pe._afterEase($,ei)},O),this},z.prototype._prepareEase=function(O,$,pe){pe===void 0&&(pe={}),this._moving=!0,!$&&!pe.moving&&this.fire(new i.Event(\"movestart\",O)),this._zooming&&!pe.zooming&&this.fire(new i.Event(\"zoomstart\",O)),this._rotating&&!pe.rotating&&this.fire(new i.Event(\"rotatestart\",O)),this._pitching&&!pe.pitching&&this.fire(new i.Event(\"pitchstart\",O))},z.prototype._fireMoveEvents=function(O){this.fire(new i.Event(\"move\",O)),this._zooming&&this.fire(new i.Event(\"zoom\",O)),this._rotating&&this.fire(new i.Event(\"rotate\",O)),this._pitching&&this.fire(new i.Event(\"pitch\",O))},z.prototype._afterEase=function(O,$){if(!(this._easeId&&$&&this._easeId===$)){delete this._easeId;var pe=this._zooming,de=this._rotating,Ie=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,pe&&this.fire(new i.Event(\"zoomend\",O)),de&&this.fire(new i.Event(\"rotateend\",O)),Ie&&this.fire(new i.Event(\"pitchend\",O)),this.fire(new i.Event(\"moveend\",O))}},z.prototype.flyTo=function(O,$){var pe=this;if(!O.essential&&i.browser.prefersReducedMotion){var de=i.pick(O,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(de,$)}this.stop(),O=i.extend({offset:[0,0],speed:1.2,curve:1.42,easing:i.ease},O);var Ie=this.transform,$e=this.getZoom(),pt=this.getBearing(),Kt=this.getPitch(),ir=this.getPadding(),Jt=\"zoom\"in O?i.clamp(+O.zoom,Ie.minZoom,Ie.maxZoom):$e,vt=\"bearing\"in O?this._normalizeBearing(O.bearing,pt):pt,Pt=\"pitch\"in O?+O.pitch:Kt,Wt=\"padding\"in O?O.padding:Ie.padding,rr=Ie.zoomScale(Jt-$e),dr=i.Point.convert(O.offset),pr=Ie.centerPoint.add(dr),kr=Ie.pointLocation(pr),Ar=i.LngLat.convert(O.center||kr);this._normalizeCenter(Ar);var gr=Ie.project(kr),Cr=Ie.project(Ar).sub(gr),cr=O.curve,Gr=Math.max(Ie.width,Ie.height),ei=Gr/rr,yi=Cr.mag();if(\"minZoom\"in O){var tn=i.clamp(Math.min(O.minZoom,$e,Jt),Ie.minZoom,Ie.maxZoom),Ri=Gr/Ie.zoomScale(tn-$e);cr=Math.sqrt(Ri/yi*2)}var ln=cr*cr;function Qn(fo){var as=(ei*ei-Gr*Gr+(fo?-1:1)*ln*ln*yi*yi)/(2*(fo?ei:Gr)*ln*yi);return Math.log(Math.sqrt(as*as+1)-as)}function qn(fo){return(Math.exp(fo)-Math.exp(-fo))/2}function rn(fo){return(Math.exp(fo)+Math.exp(-fo))/2}function bn(fo){return qn(fo)/rn(fo)}var mn=Qn(0),Gn=function(fo){return rn(mn)/rn(mn+cr*fo)},da=function(fo){return Gr*((rn(mn)*bn(mn+cr*fo)-qn(mn))/ln)/yi},No=(Qn(1)-mn)/cr;if(Math.abs(yi)<1e-6||!isFinite(No)){if(Math.abs(Gr-ei)<1e-6)return this.easeTo(O,$);var Do=eiO.maxDuration&&(O.duration=0),this._zooming=!0,this._rotating=pt!==vt,this._pitching=Pt!==Kt,this._padding=!Ie.isPaddingEqual(Wt),this._prepareEase($,!1),this._ease(function(fo){var as=fo*No,tl=1/Gn(as);Ie.zoom=fo===1?Jt:$e+Ie.scaleZoom(tl),pe._rotating&&(Ie.bearing=i.number(pt,vt,fo)),pe._pitching&&(Ie.pitch=i.number(Kt,Pt,fo)),pe._padding&&(Ie.interpolatePadding(ir,Wt,fo),pr=Ie.centerPoint.add(dr));var zu=fo===1?Ar:Ie.unproject(gr.add(Cr.mult(da(as))).mult(tl));Ie.setLocationAtPoint(Ie.renderWorldCopies?zu.wrap():zu,pr),pe._fireMoveEvents($)},function(){return pe._afterEase($)},O),this},z.prototype.isEasing=function(){return!!this._easeFrameId},z.prototype.stop=function(){return this._stop()},z.prototype._stop=function(O,$){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var pe=this._onEaseEnd;delete this._onEaseEnd,pe.call(this,$)}if(!O){var de=this.handlers;de&&de.stop(!1)}return this},z.prototype._ease=function(O,$,pe){pe.animate===!1||pe.duration===0?(O(1),$()):(this._easeStart=i.browser.now(),this._easeOptions=pe,this._onEaseFrame=O,this._onEaseEnd=$,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},z.prototype._renderFrameCallback=function(){var O=Math.min((i.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(O)),O<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},z.prototype._normalizeBearing=function(O,$){O=i.wrap(O,-180,180);var pe=Math.abs(O-$);return Math.abs(O-360-$)180?-360:pe<-180?360:0}},z}(i.Evented),Rn=function(z){z===void 0&&(z={}),this.options=z,i.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Rn.prototype.getDefaultPosition=function(){return\"bottom-right\"},Rn.prototype.onAdd=function(z){var K=this.options&&this.options.compact;return this._map=z,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=o.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),K&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),K===void 0&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Rn.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Rn.prototype._setElementTitle=function(z,K){var O=this._map._getUIString(\"AttributionControl.\"+K);z.title=O,z.setAttribute(\"aria-label\",O)},Rn.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Rn.prototype._updateEditLink=function(){var z=this._editLink;z||(z=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var K=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||i.config.ACCESS_TOKEN}];if(z){var O=K.reduce(function($,pe,de){return pe.value&&($+=pe.key+\"=\"+pe.value+(de=0)return!1;return!0});var Ie=z.join(\" | \");Ie!==this._attribHTML&&(this._attribHTML=Ie,z.length?(this._innerContainer.innerHTML=Ie,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Rn.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Dn=function(){i.bindAll([\"_updateLogo\"],this),i.bindAll([\"_updateCompact\"],this)};Dn.prototype.onAdd=function(z){this._map=z,this._container=o.create(\"div\",\"mapboxgl-ctrl\");var K=o.create(\"a\",\"mapboxgl-ctrl-logo\");return K.target=\"_blank\",K.rel=\"noopener nofollow\",K.href=\"https://www.mapbox.com/\",K.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),K.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(K),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Dn.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Dn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Dn.prototype._updateLogo=function(z){(!z||z.sourceDataType===\"metadata\")&&(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Dn.prototype._logoRequired=function(){if(this._map.style){var z=this._map.style.sourceCaches;for(var K in z){var O=z[K].getSource();if(O.mapbox_logo)return!0}return!1}},Dn.prototype._updateCompact=function(){var z=this._container.children;if(z.length){var K=z[0];this._map.getCanvasContainer().offsetWidth<250?K.classList.add(\"mapboxgl-compact\"):K.classList.remove(\"mapboxgl-compact\")}};var fn=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};fn.prototype.add=function(z){var K=++this._id,O=this._queue;return O.push({callback:z,id:K,cancelled:!1}),K},fn.prototype.remove=function(z){for(var K=this._currentlyRunning,O=K?this._queue.concat(K):this._queue,$=0,pe=O;$O.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(O.minPitch!=null&&O.maxPitch!=null&&O.minPitch>O.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(O.minPitch!=null&&O.minPitchZa)throw new Error(\"maxPitch must be less than or equal to \"+Za);var pe=new yo(O.minZoom,O.maxZoom,O.minPitch,O.maxPitch,O.renderWorldCopies);if(Y.call(this,pe,O),this._interactive=O.interactive,this._maxTileCacheSize=O.maxTileCacheSize,this._failIfMajorPerformanceCaveat=O.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=O.preserveDrawingBuffer,this._antialias=O.antialias,this._trackResize=O.trackResize,this._bearingSnap=O.bearingSnap,this._refreshExpiredTiles=O.refreshExpiredTiles,this._fadeDuration=O.fadeDuration,this._crossSourceCollisions=O.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=O.collectResourceTiming,this._renderTaskQueue=new fn,this._controls=[],this._mapId=i.uniqueId(),this._locale=i.extend({},Ai,O.locale),this._clickTolerance=O.clickTolerance,this._requestManager=new i.RequestManager(O.transformRequest,O.accessToken),typeof O.container==\"string\"){if(this._container=i.window.document.getElementById(O.container),!this._container)throw new Error(\"Container '\"+O.container+\"' not found.\")}else if(O.container instanceof Ln)this._container=O.container;else throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");if(O.maxBounds&&this.setMaxBounds(O.maxBounds),i.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),this.painter===void 0)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",function(){return $._update(!1)}),this.on(\"moveend\",function(){return $._update(!1)}),this.on(\"zoom\",function(){return $._update(!0)}),typeof i.window!=\"undefined\"&&(i.window.addEventListener(\"online\",this._onWindowOnline,!1),i.window.addEventListener(\"resize\",this._onWindowResize,!1),i.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new yn(this,O);var de=typeof O.hash==\"string\"&&O.hash||void 0;this._hash=O.hash&&new Vl(de).addTo(this),(!this._hash||!this._hash._onHashChange())&&(this.jumpTo({center:O.center,zoom:O.zoom,bearing:O.bearing,pitch:O.pitch}),O.bounds&&(this.resize(),this.fitBounds(O.bounds,i.extend({},O.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=O.localIdeographFontFamily,O.style&&this.setStyle(O.style,{localIdeographFontFamily:O.localIdeographFontFamily}),O.attributionControl&&this.addControl(new Rn({customAttribution:O.customAttribution})),this.addControl(new Dn,O.logoPosition),this.on(\"style.load\",function(){$.transform.unmodified&&$.jumpTo($.style.stylesheet)}),this.on(\"data\",function(Ie){$._update(Ie.dataType===\"style\"),$.fire(new i.Event(Ie.dataType+\"data\",Ie))}),this.on(\"dataloading\",function(Ie){$.fire(new i.Event(Ie.dataType+\"dataloading\",Ie))})}Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z;var K={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return z.prototype._getMapId=function(){return this._mapId},z.prototype.addControl=function($,pe){if(pe===void 0&&($.getDefaultPosition?pe=$.getDefaultPosition():pe=\"top-right\"),!$||!$.onAdd)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var de=$.onAdd(this);this._controls.push($);var Ie=this._controlPositions[pe];return pe.indexOf(\"bottom\")!==-1?Ie.insertBefore(de,Ie.firstChild):Ie.appendChild(de),this},z.prototype.removeControl=function($){if(!$||!$.onRemove)return this.fire(new i.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var pe=this._controls.indexOf($);return pe>-1&&this._controls.splice(pe,1),$.onRemove(this),this},z.prototype.hasControl=function($){return this._controls.indexOf($)>-1},z.prototype.resize=function($){var pe=this._containerDimensions(),de=pe[0],Ie=pe[1];this._resizeCanvas(de,Ie),this.transform.resize(de,Ie),this.painter.resize(de,Ie);var $e=!this._moving;return $e&&(this.stop(),this.fire(new i.Event(\"movestart\",$)).fire(new i.Event(\"move\",$))),this.fire(new i.Event(\"resize\",$)),$e&&this.fire(new i.Event(\"moveend\",$)),this},z.prototype.getBounds=function(){return this.transform.getBounds()},z.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},z.prototype.setMaxBounds=function($){return this.transform.setMaxBounds(i.LngLatBounds.convert($)),this._update()},z.prototype.setMinZoom=function($){if($=$==null?gn:$,$>=gn&&$<=this.transform.maxZoom)return this.transform.minZoom=$,this._update(),this.getZoom()<$&&this.setZoom($),this;throw new Error(\"minZoom must be between \"+gn+\" and the current maxZoom, inclusive\")},z.prototype.getMinZoom=function(){return this.transform.minZoom},z.prototype.setMaxZoom=function($){if($=$==null?ca:$,$>=this.transform.minZoom)return this.transform.maxZoom=$,this._update(),this.getZoom()>$&&this.setZoom($),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},z.prototype.getMaxZoom=function(){return this.transform.maxZoom},z.prototype.setMinPitch=function($){if($=$==null?Kn:$,$=Kn&&$<=this.transform.maxPitch)return this.transform.minPitch=$,this._update(),this.getPitch()<$&&this.setPitch($),this;throw new Error(\"minPitch must be between \"+Kn+\" and the current maxPitch, inclusive\")},z.prototype.getMinPitch=function(){return this.transform.minPitch},z.prototype.setMaxPitch=function($){if($=$==null?Za:$,$>Za)throw new Error(\"maxPitch must be less than or equal to \"+Za);if($>=this.transform.minPitch)return this.transform.maxPitch=$,this._update(),this.getPitch()>$&&this.setPitch($),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},z.prototype.getMaxPitch=function(){return this.transform.maxPitch},z.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},z.prototype.setRenderWorldCopies=function($){return this.transform.renderWorldCopies=$,this._update()},z.prototype.project=function($){return this.transform.locationPoint(i.LngLat.convert($))},z.prototype.unproject=function($){return this.transform.pointLocation(i.Point.convert($))},z.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},z.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},z.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},z.prototype._createDelegatedListener=function($,pe,de){var Ie=this,$e;if($===\"mouseenter\"||$===\"mouseover\"){var pt=!1,Kt=function(rr){var dr=Ie.getLayer(pe)?Ie.queryRenderedFeatures(rr.point,{layers:[pe]}):[];dr.length?pt||(pt=!0,de.call(Ie,new oe($,Ie,rr.originalEvent,{features:dr}))):pt=!1},ir=function(){pt=!1};return{layer:pe,listener:de,delegates:{mousemove:Kt,mouseout:ir}}}else if($===\"mouseleave\"||$===\"mouseout\"){var Jt=!1,vt=function(rr){var dr=Ie.getLayer(pe)?Ie.queryRenderedFeatures(rr.point,{layers:[pe]}):[];dr.length?Jt=!0:Jt&&(Jt=!1,de.call(Ie,new oe($,Ie,rr.originalEvent)))},Pt=function(rr){Jt&&(Jt=!1,de.call(Ie,new oe($,Ie,rr.originalEvent)))};return{layer:pe,listener:de,delegates:{mousemove:vt,mouseout:Pt}}}else{var Wt=function(rr){var dr=Ie.getLayer(pe)?Ie.queryRenderedFeatures(rr.point,{layers:[pe]}):[];dr.length&&(rr.features=dr,de.call(Ie,rr),delete rr.features)};return{layer:pe,listener:de,delegates:($e={},$e[$]=Wt,$e)}}},z.prototype.on=function($,pe,de){if(de===void 0)return Y.prototype.on.call(this,$,pe);var Ie=this._createDelegatedListener($,pe,de);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[$]=this._delegatedListeners[$]||[],this._delegatedListeners[$].push(Ie);for(var $e in Ie.delegates)this.on($e,Ie.delegates[$e]);return this},z.prototype.once=function($,pe,de){if(de===void 0)return Y.prototype.once.call(this,$,pe);var Ie=this._createDelegatedListener($,pe,de);for(var $e in Ie.delegates)this.once($e,Ie.delegates[$e]);return this},z.prototype.off=function($,pe,de){var Ie=this;if(de===void 0)return Y.prototype.off.call(this,$,pe);var $e=function(pt){for(var Kt=pt[$],ir=0;ir180;){var de=K.locationPoint(Y);if(de.x>=0&&de.y>=0&&de.x<=K.width&&de.y<=K.height)break;Y.lng>K.center.lng?Y.lng-=360:Y.lng+=360}return Y}var ro={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Ao(Y,z,K){var O=Y.classList;for(var $ in ro)O.remove(\"mapboxgl-\"+K+\"-anchor-\"+$);O.add(\"mapboxgl-\"+K+\"-anchor-\"+z)}var Jn=function(Y){function z(K,O){if(Y.call(this),(K instanceof i.window.HTMLElement||O)&&(K=i.extend({element:K},O)),i.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=K&&K.anchor||\"center\",this._color=K&&K.color||\"#3FB1CE\",this._scale=K&&K.scale||1,this._draggable=K&&K.draggable||!1,this._clickTolerance=K&&K.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=K&&K.rotation||0,this._rotationAlignment=K&&K.rotationAlignment||\"auto\",this._pitchAlignment=K&&K.pitchAlignment&&K.pitchAlignment!==\"auto\"?K.pitchAlignment:this._rotationAlignment,!K||!K.element){this._defaultMarker=!0,this._element=o.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var $=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),pe=41,de=27;$.setAttributeNS(null,\"display\",\"block\"),$.setAttributeNS(null,\"height\",pe+\"px\"),$.setAttributeNS(null,\"width\",de+\"px\"),$.setAttributeNS(null,\"viewBox\",\"0 0 \"+de+\" \"+pe);var Ie=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");Ie.setAttributeNS(null,\"stroke\",\"none\"),Ie.setAttributeNS(null,\"stroke-width\",\"1\"),Ie.setAttributeNS(null,\"fill\",\"none\"),Ie.setAttributeNS(null,\"fill-rule\",\"evenodd\");var $e=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");$e.setAttributeNS(null,\"fill-rule\",\"nonzero\");var pt=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");pt.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),pt.setAttributeNS(null,\"fill\",\"#000000\");for(var Kt=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}],ir=0,Jt=Kt;ir=$}this._isDragging&&(this._pos=O.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new i.Event(\"dragstart\"))),this.fire(new i.Event(\"drag\")))},z.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new i.Event(\"dragend\")),this._state=\"inactive\"},z.prototype._addDragHandler=function(O){this._element.contains(O.originalEvent.target)&&(O.preventDefault(),this._positionDelta=O.point.sub(this._pos).add(this._offset),this._pointerdownPos=O.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},z.prototype.setDraggable=function(O){return this._draggable=!!O,this._map&&(O?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},z.prototype.isDraggable=function(){return this._draggable},z.prototype.setRotation=function(O){return this._rotation=O||0,this._update(),this},z.prototype.getRotation=function(){return this._rotation},z.prototype.setRotationAlignment=function(O){return this._rotationAlignment=O||\"auto\",this._update(),this},z.prototype.getRotationAlignment=function(){return this._rotationAlignment},z.prototype.setPitchAlignment=function(O){return this._pitchAlignment=O&&O!==\"auto\"?O:this._rotationAlignment,this._update(),this},z.prototype.getPitchAlignment=function(){return this._pitchAlignment},z}(i.Evented),Oa={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},_o;function Po(Y){_o!==void 0?Y(_o):i.window.navigator.permissions!==void 0?i.window.navigator.permissions.query({name:\"geolocation\"}).then(function(z){_o=z.state!==\"denied\",Y(_o)}):(_o=!!i.window.navigator.geolocation,Y(_o))}var Jo=0,Xl=!1,$c=function(Y){function z(K){Y.call(this),this.options=i.extend({},Oa,K),i.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.onAdd=function(O){return this._map=O,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),Po(this._setupUI),this._container},z.prototype.onRemove=function(){this._geolocationWatchID!==void 0&&(i.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Jo=0,Xl=!1},z.prototype._isOutOfMapMaxBounds=function(O){var $=this._map.getMaxBounds(),pe=O.coords;return $&&(pe.longitude<$.getWest()||pe.longitude>$.getEast()||pe.latitude<$.getSouth()||pe.latitude>$.getNorth())},z.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break}},z.prototype._onSuccess=function(O){if(this._map){if(this._isOutOfMapMaxBounds(O)){this._setErrorState(),this.fire(new i.Event(\"outofmaxbounds\",O)),this._updateMarker(),this._finish();return}if(this.options.trackUserLocation)switch(this._lastKnownPosition=O,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(O),(!this.options.trackUserLocation||this._watchState===\"ACTIVE_LOCK\")&&this._updateCamera(O),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"geolocate\",O)),this._finish()}},z.prototype._updateCamera=function(O){var $=new i.LngLat(O.coords.longitude,O.coords.latitude),pe=O.coords.accuracy,de=this._map.getBearing(),Ie=i.extend({bearing:de},this.options.fitBoundsOptions);this._map.fitBounds($.toBounds(pe),Ie,{geolocateSource:!0})},z.prototype._updateMarker=function(O){if(O){var $=new i.LngLat(O.coords.longitude,O.coords.latitude);this._accuracyCircleMarker.setLngLat($).addTo(this._map),this._userLocationDotMarker.setLngLat($).addTo(this._map),this._accuracy=O.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},z.prototype._updateCircleRadius=function(){var O=this._map._container.clientHeight/2,$=this._map.unproject([0,O]),pe=this._map.unproject([1,O]),de=$.distanceTo(pe),Ie=Math.ceil(2*this._accuracy/de);this._circleElement.style.width=Ie+\"px\",this._circleElement.style.height=Ie+\"px\"},z.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},z.prototype._onError=function(O){if(this._map){if(this.options.trackUserLocation)if(O.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var $=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=$,this._geolocateButton.setAttribute(\"aria-label\",$),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(O.code===3&&Xl)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new i.Event(\"error\",O)),this._finish()}},z.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},z.prototype._setupUI=function(O){var $=this;if(this._container.addEventListener(\"contextmenu\",function(Ie){return Ie.preventDefault()}),this._geolocateButton=o.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),o.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",O===!1){i.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var pe=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=pe,this._geolocateButton.setAttribute(\"aria-label\",pe)}else{var de=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=de,this._geolocateButton.setAttribute(\"aria-label\",de)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Jn(this._dotElement),this._circleElement=o.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Jn({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function(Ie){var $e=Ie.originalEvent&&Ie.originalEvent.type===\"resize\";!Ie.geolocateSource&&$._watchState===\"ACTIVE_LOCK\"&&!$e&&($._watchState=\"BACKGROUND\",$._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),$._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),$.fire(new i.Event(\"trackuserlocationend\")))})},z.prototype.trigger=function(){if(!this._setup)return i.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new i.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Jo--,Xl=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new i.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new i.Event(\"trackuserlocationstart\"));break}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\");break}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),Jo++;var O;Jo>1?(O={maximumAge:6e5,timeout:0},Xl=!0):(O=this.options.positionOptions,Xl=!1),this._geolocationWatchID=i.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,O)}}else i.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},z.prototype._clearWatch=function(){i.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},z}(i.Evented),xs={maxWidth:100,unit:\"metric\"},Qc=function(z){this.options=i.extend({},xs,z),i.bindAll([\"_onMove\",\"setUnit\"],this)};Qc.prototype.getDefaultPosition=function(){return\"bottom-left\"},Qc.prototype._onMove=function(){El(this._map,this._container,this.options)},Qc.prototype.onAdd=function(z){return this._map=z,this._container=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",z.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Qc.prototype.onRemove=function(){o.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Qc.prototype.setUnit=function(z){this.options.unit=z,El(this._map,this._container,this.options)};function El(Y,z,K){var O=K&&K.maxWidth||100,$=Y._container.clientHeight/2,pe=Y.unproject([0,$]),de=Y.unproject([O,$]),Ie=pe.distanceTo(de);if(K&&K.unit===\"imperial\"){var $e=3.2808*Ie;if($e>5280){var pt=$e/5280;bc(z,O,pt,Y._getUIString(\"ScaleControl.Miles\"))}else bc(z,O,$e,Y._getUIString(\"ScaleControl.Feet\"))}else if(K&&K.unit===\"nautical\"){var Kt=Ie/1852;bc(z,O,Kt,Y._getUIString(\"ScaleControl.NauticalMiles\"))}else Ie>=1e3?bc(z,O,Ie/1e3,Y._getUIString(\"ScaleControl.Kilometers\")):bc(z,O,Ie,Y._getUIString(\"ScaleControl.Meters\"))}function bc(Y,z,K,O){var $=yf(K),pe=$/K;Y.style.width=z*pe+\"px\",Y.innerHTML=$+\" \"+O}function wc(Y){var z=Math.pow(10,Math.ceil(-Math.log(Y)/Math.LN10));return Math.round(Y*z)/z}function yf(Y){var z=Math.pow(10,(\"\"+Math.floor(Y)).length-1),K=Y/z;return K=K>=10?10:K>=5?5:K>=3?3:K>=2?2:K>=1?1:wc(K),z*K}var Hl=function(z){this._fullscreen=!1,z&&z.container&&(z.container instanceof i.window.HTMLElement?this._container=z.container:i.warnOnce(\"Full screen control 'container' must be a DOM element.\")),i.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in i.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in i.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in i.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in i.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Hl.prototype.onAdd=function(z){return this._map=z,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",i.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Hl.prototype.onRemove=function(){o.remove(this._controlContainer),this._map=null,i.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Hl.prototype._checkFullscreenSupport=function(){return!!(i.window.document.fullscreenEnabled||i.window.document.mozFullScreenEnabled||i.window.document.msFullscreenEnabled||i.window.document.webkitFullscreenEnabled)},Hl.prototype._setupUI=function(){var z=this._fullscreenButton=o.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"mapboxgl-ctrl-icon\",z).setAttribute(\"aria-hidden\",!0),z.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),i.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Hl.prototype._updateTitle=function(){var z=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",z),this._fullscreenButton.title=z},Hl.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Hl.prototype._isFullscreen=function(){return this._fullscreen},Hl.prototype._changeIcon=function(){var z=i.window.document.fullscreenElement||i.window.document.mozFullScreenElement||i.window.document.webkitFullscreenElement||i.window.document.msFullscreenElement;z===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Hl.prototype._onClickFullscreen=function(){this._isFullscreen()?i.window.document.exitFullscreen?i.window.document.exitFullscreen():i.window.document.mozCancelFullScreen?i.window.document.mozCancelFullScreen():i.window.document.msExitFullscreen?i.window.document.msExitFullscreen():i.window.document.webkitCancelFullScreen&&i.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Fc={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},ef=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ls=function(Y){function z(K){Y.call(this),this.options=i.extend(Object.create(Fc),K),i.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return Y&&(z.__proto__=Y),z.prototype=Object.create(Y&&Y.prototype),z.prototype.constructor=z,z.prototype.addTo=function(O){return this._map&&this.remove(),this._map=O,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new i.Event(\"open\")),this},z.prototype.isOpen=function(){return!!this._map},z.prototype.remove=function(){return this._content&&o.remove(this._content),this._container&&(o.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new i.Event(\"close\")),this},z.prototype.getLngLat=function(){return this._lngLat},z.prototype.setLngLat=function(O){return this._lngLat=i.LngLat.convert(O),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},z.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},z.prototype.getElement=function(){return this._container},z.prototype.setText=function(O){return this.setDOMContent(i.window.document.createTextNode(O))},z.prototype.setHTML=function(O){var $=i.window.document.createDocumentFragment(),pe=i.window.document.createElement(\"body\"),de;for(pe.innerHTML=O;de=pe.firstChild,!!de;)$.appendChild(de);return this.setDOMContent($)},z.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},z.prototype.setMaxWidth=function(O){return this.options.maxWidth=O,this._update(),this},z.prototype.setDOMContent=function(O){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(O),this._createCloseButton(),this._update(),this._focusFirstElement(),this},z.prototype.addClassName=function(O){this._container&&this._container.classList.add(O)},z.prototype.removeClassName=function(O){this._container&&this._container.classList.remove(O)},z.prototype.setOffset=function(O){return this.options.offset=O,this._update(),this},z.prototype.toggleClassName=function(O){if(this._container)return this._container.classList.toggle(O)},z.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=o.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))},z.prototype._onMouseUp=function(O){this._update(O.point)},z.prototype._onMouseMove=function(O){this._update(O.point)},z.prototype._onDrag=function(O){this._update(O.point)},z.prototype._update=function(O){var $=this,pe=this._lngLat||this._trackPointer;if(!(!this._map||!pe||!this._content)&&(this._container||(this._container=o.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach(function(vt){return $._container.classList.add(vt)}),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=ma(this._lngLat,this._pos,this._map.transform)),!(this._trackPointer&&!O))){var de=this._pos=this._trackPointer&&O?O:this._map.project(this._lngLat),Ie=this.options.anchor,$e=_f(this.options.offset);if(!Ie){var pt=this._container.offsetWidth,Kt=this._container.offsetHeight,ir;de.y+$e.bottom.ythis._map.transform.height-Kt?ir=[\"bottom\"]:ir=[],de.xthis._map.transform.width-pt/2&&ir.push(\"right\"),ir.length===0?Ie=\"bottom\":Ie=ir.join(\"-\")}var Jt=de.add($e[Ie]).round();o.setTransform(this._container,ro[Ie]+\" translate(\"+Jt.x+\"px,\"+Jt.y+\"px)\"),Ao(this._container,Ie,\"popup\")}},z.prototype._focusFirstElement=function(){if(!(!this.options.focusAfterOpen||!this._container)){var O=this._container.querySelector(ef);O&&O.focus()}},z.prototype._onClose=function(){this.remove()},z}(i.Evented);function _f(Y){if(Y)if(typeof Y==\"number\"){var z=Math.round(Math.sqrt(.5*Math.pow(Y,2)));return{center:new i.Point(0,0),top:new i.Point(0,Y),\"top-left\":new i.Point(z,z),\"top-right\":new i.Point(-z,z),bottom:new i.Point(0,-Y),\"bottom-left\":new i.Point(z,-z),\"bottom-right\":new i.Point(-z,-z),left:new i.Point(Y,0),right:new i.Point(-Y,0)}}else if(Y instanceof i.Point||Array.isArray(Y)){var K=i.Point.convert(Y);return{center:K,top:K,\"top-left\":K,\"top-right\":K,bottom:K,\"bottom-left\":K,\"bottom-right\":K,left:K,right:K}}else return{center:i.Point.convert(Y.center||[0,0]),top:i.Point.convert(Y.top||[0,0]),\"top-left\":i.Point.convert(Y[\"top-left\"]||[0,0]),\"top-right\":i.Point.convert(Y[\"top-right\"]||[0,0]),bottom:i.Point.convert(Y.bottom||[0,0]),\"bottom-left\":i.Point.convert(Y[\"bottom-left\"]||[0,0]),\"bottom-right\":i.Point.convert(Y[\"bottom-right\"]||[0,0]),left:i.Point.convert(Y.left||[0,0]),right:i.Point.convert(Y.right||[0,0])};else return _f(new i.Point(0,0))}var ns={version:i.version,supported:a,setRTLTextPlugin:i.setRTLTextPlugin,getRTLTextPluginStatus:i.getRTLTextPluginStatus,Map:vn,NavigationControl:Xn,GeolocateControl:$c,AttributionControl:Rn,ScaleControl:Qc,FullscreenControl:Hl,Popup:ls,Marker:Jn,Style:mu,LngLat:i.LngLat,LngLatBounds:i.LngLatBounds,Point:i.Point,MercatorCoordinate:i.MercatorCoordinate,Evented:i.Evented,config:i.config,prewarm:jn,clearPrewarmedResources:la,get accessToken(){return i.config.ACCESS_TOKEN},set accessToken(Y){i.config.ACCESS_TOKEN=Y},get baseApiUrl(){return i.config.API_URL},set baseApiUrl(Y){i.config.API_URL=Y},get workerCount(){return Pi.workerCount},set workerCount(Y){Pi.workerCount=Y},get maxParallelImageRequests(){return i.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(Y){i.config.MAX_PARALLEL_IMAGE_REQUESTS=Y},clearStorage:function(z){i.clearTileCache(z)},workerUrl:\"\"};return ns}),r})});var HUe=ye((Syr,VUe)=>{\"use strict\";var tw=Mr(),xHt=Ll().sanitizeHTML,bHt=UK(),BUe=c1();function NUe(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=BUe.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var ig=NUe.prototype;ig.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=jF(t)};ig.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};ig.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};ig.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};ig.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};ig.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapboxLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};ig.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!jF(e)){var r=wHt(e);t.addSource(this.idSource,r)}};ig.findFollowingMapboxLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r0){for(var r=0;r0}function UUe(e){var t={},r={};switch(e.type){case\"circle\":tw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":tw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":tw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=bHt(n.textposition,n.iconsize);tw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),tw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":tw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function wHt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=xHt(e.sourceattribution)),n}VUe.exports=function(t,r,n){var i=new NUe(t,r);return i.update(n),i}});var $Ue=ye((Myr,JUe)=>{\"use strict\";var XK=ZK(),YK=Mr(),ZUe=ix(),GUe=ba(),THt=Qa(),AHt=gv(),WF=Nc(),XUe=Sg(),SHt=XUe.drawMode,MHt=XUe.selectMode,EHt=wf().prepSelect,kHt=wf().clearOutline,CHt=wf().clearSelectionsCache,LHt=wf().selectOnClick,yx=c1(),PHt=HUe();function YUe(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Ah=YUe.prototype;Ah.plot=function(e,t,r){var n=this,i=t[n.id];n.map&&i.accesstoken!==n.accessToken&&(n.map.remove(),n.map=null,n.styleObj=null,n.traceHash={},n.layerList=[]);var a;n.map?a=new Promise(function(o,s){n.updateMap(e,t,o,s)}):a=new Promise(function(o,s){n.createMap(e,t,o,s)}),r.push(a)};Ah.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=KUe(a.style,t);i.accessToken=a.accesstoken;var s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new XK.Map({container:i.div,style:o.style,center:KK(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new XK.AttributionControl({compact:!0}));u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var c=[];c.push(new Promise(function(f){u.once(\"load\",f)})),c=c.concat(ZUe.fetchTraceGeoData(e)),Promise.all(c).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Ah.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=KUe(o.style,t);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(ZUe.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Ah.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i1)for(i=0;i-1&&LHt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&WF.click(n,l.originalEvent)}}};Ah.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=YK.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),MHt(a)||SHt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){EHt(l,u,c,t.dragOptions,a)},AHt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Ah.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Ah.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i{\"use strict\";var JK=Mr(),IHt=k_(),RHt=Zd(),QUe=Pk();eVe.exports=function(t,r,n){IHt(t,r,n,{type:\"mapbox\",attributes:QUe,handleDefaults:DHt,partition:\"y\",accessToken:r._mapboxAccessToken})};function DHt(e,t,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var i=r(\"bounds.west\"),a=r(\"bounds.east\"),o=r(\"bounds.south\"),s=r(\"bounds.north\");(i===void 0||a===void 0||o===void 0||s===void 0)&&delete t.bounds,RHt(e,t,{name:\"layers\",handleItemDefaults:zHt}),t._input=e}function zHt(e,t){function r(l,u){return JK.coerce(e,t,QUe.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",JK.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),JK.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var ZF=ye(Np=>{\"use strict\";var rVe=ZK(),tm=Mr(),$K=tm.strTranslate,FHt=tm.strScale,qHt=kd().getSubplotCalcData,OHt=Zp(),BHt=xa(),iVe=ao(),NHt=Ll(),UHt=$Ue(),_x=\"mapbox\",Qm=Np.constants=c1();Np.name=_x;Np.attr=\"subplot\";Np.idRoot=_x;Np.idRegex=Np.attrRegex=tm.counterRegex(_x);var VHt=[\"mapbox subplots and traces are deprecated!\",\"Please consider switching to `map` subplots and traces.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");Np.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}};Np.layoutAttributes=Pk();Np.supplyLayoutDefaults=tVe();var nVe=!0;Np.plot=function(t){nVe&&(nVe=!1,tm.warn(VHt));var r=t._fullLayout,n=t.calcdata,i=r._subplots[_x];if(rVe.version!==Qm.requiredVersion)throw new Error(Qm.wrongVersionErrorMsg);var a=HHt(t,i);rVe.accessToken=a;for(var o=0;og/2){var E=d.split(\"|\").join(\"
\");x.text(E).attr(\"data-unformatted\",E).call(NHt.convertToTspans,e),b=iVe.bBox(x.node())}x.attr(\"transform\",$K(-3,-b.height+8)),v.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var k=1;b.width+6>g&&(k=g/(b.width+6));var A=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];v.attr(\"transform\",$K(A[0],A[1])+FHt(k))}};function HHt(e,t){var r=e._fullLayout,n=e._context;if(n.mapboxAccessToken===\"\")return\"\";for(var i=[],a=[],o=!1,s=!1,l=0;l1&&tm.warn(Qm.multipleTokensErrorMsg),i[0]):(a.length&&tm.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}function aVe(e){return typeof e==\"string\"&&(Qm.styleValuesMapbox.indexOf(e)!==-1||e.indexOf(\"mapbox://\")===0||e.indexOf(\"stamen\")===0)}Np.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[_x],n=0;n{\"use strict\";var Cyr=[\"*scattermapbox* trace is deprecated!\",\"Please consider switching to the *scattermap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/python/maplibre-migration/\",\"as well as https://plotly.com/javascript/maplibre-migration/\"].join(\" \");oVe.exports={attributes:BF(),supplyDefaults:yUe(),colorbar:Kd(),formatLabels:NK(),calc:lz(),plot:IUe(),hoverPoints:GF().hoverPoints,eventData:FUe(),selectPoints:OUe(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:ZF(),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var uVe=ye((Pyr,lVe)=>{\"use strict\";lVe.exports=sVe()});var QK=ye((Iyr,cVe)=>{\"use strict\";var f1=J5(),GHt=Kl(),jHt=Wo().hovertemplateAttrs,WHt=vl(),xx=no().extendFlat;cVe.exports=xx({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:xx({},f1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:f1.text,hovertext:f1.hovertext,marker:{line:{color:xx({},f1.marker.line.color,{editType:\"plot\"}),width:xx({},f1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:xx({},f1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:xx({},f1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:xx({},f1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:f1.hoverinfo,hovertemplate:jHt({},{keys:[\"properties\"]}),showlegend:xx({},WHt.showlegend,{dflt:!1})},GHt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var hVe=ye((Ryr,fVe)=>{\"use 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b=RVe.extractOpts(r),g=b.reversescale?RVe.flipScale(b.colorscale):b.colorscale,E=g[0][1],k=IVe.opacity(E)<1?E:IVe.addOpacity(E,0),A=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,k];for(s=1;s{\"use strict\";var qVe=FVe(),cGt=c1().traceLayerPrefix;function OVe(e,t){this.type=\"densitymapbox\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"heatmap\",cGt+t+\"-heatmap\"]],this.below=null}var YF=OVe.prototype;YF.update=function(e){var t=this.subplot,r=this.layerList,n=qVe(e),i=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(n.geojson),i!==this.below&&(this._removeLayers(),this._addLayers(n,i),this.below=i);for(var a=0;a=0;r--)e.removeLayer(t[r][1])};YF.dispose=function(){var e=this.subplot.map;this._removeLayers(),e.removeSource(this.sourceId)};BVe.exports=function(t,r){var n=r[0].trace,i=new OVe(t,n.uid),a=i.sourceId,o=qVe(r),s=i.below=t.belowLookup[\"trace-\"+n.uid];return 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oJ=ye((e1r,hHe)=>{\"use strict\";var DGt=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];hHe.exports={isSupportedFont:function(e){return DGt.indexOf(e)!==-1}}});var pHe=ye((t1r,vHe)=>{\"use strict\";var Ok=Mr(),sJ=lu(),zGt=$p(),FGt=R0(),qGt=D0(),OGt=Ig(),dHe=JF(),BGt=oJ().isSupportedFont;vHe.exports=function(t,r,n,i){function a(g,E){return Ok.coerce(t,r,dHe,g,E)}function o(g,E){return Ok.coerce2(t,r,dHe,g,E)}var s=NGt(t,r,a);if(!s){r.visible=!1;return}if(a(\"text\"),a(\"texttemplate\"),a(\"hovertext\"),a(\"hovertemplate\"),a(\"mode\"),a(\"below\"),sJ.hasMarkers(r)){zGt(t,r,n,i,a,{noLine:!0,noAngle:!0}),a(\"marker.allowoverlap\"),a(\"marker.angle\");var l=r.marker;l.symbol!==\"circle\"&&(Ok.isArrayOrTypedArray(l.size)&&(l.size=l.size[0]),Ok.isArrayOrTypedArray(l.color)&&(l.color=l.color[0]))}sJ.hasLines(r)&&(FGt(t,r,n,i,a,{noDash:!0}),a(\"connectgaps\"));var u=o(\"cluster.maxzoom\"),c=o(\"cluster.step\"),f=o(\"cluster.color\",r.marker&&r.marker.color||n),h=o(\"cluster.size\"),d=o(\"cluster.opacity\"),v=u!==!1||c!==!1||f!==!1||h!==!1||d!==!1,x=a(\"cluster.enabled\",v);if(x||sJ.hasText(r)){var 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g;if((a||o)&&(g=QF.calcTraceToLineCoords(r)),a&&(h.geojson=QF.makePolygon(g),h.layout.visibility=\"visible\",nv.extendFlat(h.paint,{\"fill-color\":n.fillcolor})),o&&(d.geojson=QF.makeLine(g),d.layout.visibility=\"visible\",nv.extendFlat(d.paint,{\"line-width\":n.line.width,\"line-color\":n.line.color,\"line-opacity\":n.opacity})),u){var E=YGt(r);v.geojson=E.geojson,v.layout.visibility=\"visible\",f&&(v.filter=[\"!\",[\"has\",\"point_count\"]],b.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":fJ(n.cluster.color,n.cluster.step),\"circle-radius\":fJ(n.cluster.size,n.cluster.step),\"circle-opacity\":fJ(n.cluster.opacity,n.cluster.step)}},b.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":bHe(n),\"text-size\":12}}),nv.extendFlat(v.paint,{\"circle-color\":E.mcc,\"circle-radius\":E.mrc,\"circle-opacity\":E.mo})}if(u&&f&&(v.filter=[\"!\",[\"has\",\"point_count\"]]),(c||l)&&(x.geojson=KGt(r,t),nv.extendFlat(x.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),c&&(nv.extendFlat(x.layout,{\"icon-size\":n.marker.size/10}),\"angle\"in 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c;i&&(xHe.hasColorscale(t,\"marker\")?c=xHe.makeColorScaleFuncFromTrace(r):c=nv.identity);var f;a&&(f=HGt(t));var h;o&&(h=function(k){var A=wHe(k)?+nv.constrain(k,0,1):0;return l(A)});var d=[];for(s=0;s850?s+=\" Black\":i>750?s+=\" Extra Bold\":i>650?s+=\" Bold\":i>550?s+=\" Semi Bold\":i>450?s+=\" Medium\":i>350?s+=\" Regular\":i>250?s+=\" Light\":i>150?s+=\" Extra Light\":s+=\" Thin\"):a.slice(0,2).join(\" \")===\"Open Sans\"?(s=\"Open Sans\",i>750?s+=\" Extrabold\":i>650?s+=\" Bold\":i>550?s+=\" Semibold\":i>350?s+=\" Regular\":s+=\" Light\"):a.slice(0,3).join(\" \")===\"Klokantech Noto Sans\"&&(s=\"Klokantech Noto Sans\",a[3]===\"CJK\"&&(s+=\" CJK\"),s+=i>500?\" Bold\":\" Regular\")),o&&(s+=\" Italic\"),s===\"Open Sans Regular Italic\"?s=\"Open Sans Italic\":s===\"Open Sans Regular Bold\"?s=\"Open Sans Bold\":s===\"Open Sans Regular Bold Italic\"?s=\"Open Sans Bold Italic\":s===\"Klokantech Noto Sans Regular Italic\"&&(s=\"Klokantech Noto Sans Italic\"),GGt(s)||(s=r);var l=s.split(\", \");return l}});var CHe=ye((a1r,kHe)=>{\"use strict\";var JGt=Mr(),MHe=SHe(),MA=bx().traceLayerPrefix,ng={cluster:[\"cluster\",\"clusterCount\",\"circle\"],nonCluster:[\"fill\",\"line\",\"circle\",\"symbol\"]};function EHe(e,t,r,n){this.type=\"scattermap\",this.subplot=e,this.uid=t,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+t+\"-fill\",line:\"source-\"+t+\"-line\",circle:\"source-\"+t+\"-circle\",symbol:\"source-\"+t+\"-symbol\",cluster:\"source-\"+t+\"-circle\",clusterCount:\"source-\"+t+\"-circle\"},this.layerIds={fill:MA+t+\"-fill\",line:MA+t+\"-line\",circle:MA+t+\"-circle\",symbol:MA+t+\"-symbol\",cluster:MA+t+\"-cluster\",clusterCount:MA+t+\"-cluster-count\"},this.below=null}var Bk=EHe.prototype;Bk.addSource=function(e,t,r){var n={type:\"geojson\",data:t.geojson};r&&r.enabled&&JGt.extendFlat(n,{cluster:!0,clusterMaxZoom:r.maxzoom});var i=this.subplot.map.getSource(this.sourceIds[e]);i?i.setData(t.geojson):this.subplot.map.addSource(this.sourceIds[e],n)};Bk.setSourceData=function(e,t){this.subplot.map.getSource(this.sourceIds[e]).setData(t.geojson)};Bk.addLayer=function(e,t,r){var n={type:t.type,id:this.layerIds[e],source:this.sourceIds[e],layout:t.layout,paint:t.paint};t.filter&&(n.filter=t.filter);for(var i=this.layerIds[e],a,o=this.subplot.getMapLayers(),s=0;s=0;L--){var _=A[L];i.removeLayer(u.layerIds[_])}k||i.removeSource(u.sourceIds.circle)}function h(k){for(var A=ng.nonCluster,L=0;L=0;L--){var _=A[L];i.removeLayer(u.layerIds[_]),k||i.removeSource(u.sourceIds[_])}}function v(k){l?f(k):d(k)}function x(k){s?c(k):h(k)}function b(){for(var k=s?ng.cluster:ng.nonCluster,A=0;A=0;n--){var i=r[n];t.removeLayer(this.layerIds[i]),t.removeSource(this.sourceIds[i])}};kHe.exports=function(t,r){var n=r[0].trace,i=n.cluster&&n.cluster.enabled,a=n.visible!==!0,o=new EHe(t,n.uid,i,a),s=MHe(t.gd,r),l=o.below=t.belowLookup[\"trace-\"+n.uid],u,c,f;if(i)for(o.addSource(\"circle\",s.circle,n.cluster),u=0;u{\"use strict\";var $Gt=Nc(),hJ=Mr(),QGt=oT(),ejt=hJ.fillText,tjt=es().BADNUM,rjt=bx().traceLayerPrefix;function ijt(e,t,r){var n=e.cd,i=n[0].trace,a=e.xa,o=e.ya,s=e.subplot,l=[],u=rjt+i.uid+\"-circle\",c=i.cluster&&i.cluster.enabled;if(c){var f=s.map.queryRenderedFeatures(null,{layers:[u]});l=f.map(function(M){return M.id})}var h=t>=0?Math.floor((t+180)/360):Math.ceil((t-180)/360),d=h*360,v=t-d;function x(M){var p=M.lonlat;if(p[0]===tjt||c&&l.indexOf(M.i+1)===-1)return 1/0;var P=hJ.modHalf(p[0],360),T=p[1],F=s.project([P,T]),q=F.x-a.c2p([v,T]),V=F.y-o.c2p([P,r]),H=Math.max(3,M.mrc||0);return Math.max(Math.sqrt(q*q+V*V)-H,1-3/H)}if($Gt.getClosest(n,x,e),e.index!==!1){var b=n[e.index],g=b.lonlat,E=[hJ.modHalf(g[0],360)+d,g[1]],k=a.c2p(E),A=o.c2p(E),L=b.mrc||1;e.x0=k-L,e.x1=k+L,e.y0=A-L,e.y1=A+L;var _={};_[i.subplot]={_subplot:s};var 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j[D]}eachChild(S){S(this.index),S(this.input)}outputDefined(){return!1}}class Hr{constructor(S,D){this.type=dt,this.needle=S,this.haystack=D}static parse(S,D){if(S.length!==3)return D.error(`Expected 2 arguments, but found ${S.length-1} instead.`);let j=D.parse(S[1],1,fr),te=D.parse(S[2],2,fr);return j&&te?ht(j.type,[dt,Et,St,Lt,fr])?new Hr(j,te):D.error(`Expected first argument to be of type boolean, string, number or null, but found ${Ye(j.type)} instead`):null}evaluate(S){let D=this.needle.evaluate(S),j=this.haystack.evaluate(S);if(!j)return!1;if(!Le(D,[\"boolean\",\"string\",\"number\",\"null\"]))throw new la(`Expected first argument to be of type boolean, string, number or null, but found ${Ye(Ki(D))} instead.`);if(!Le(j,[\"string\",\"array\"]))throw new la(`Expected second argument to be of type array or string, but found ${Ye(Ki(j))} instead.`);return j.indexOf(D)>=0}eachChild(S){S(this.needle),S(this.haystack)}outputDefined(){return!0}}class 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of type array or string, but found ${Ye(Ki(j))} instead.`)}eachChild(S){S(this.needle),S(this.haystack),this.fromIndex&&S(this.fromIndex)}outputDefined(){return!1}}class zi{constructor(S,D,j,te,ue,ve){this.inputType=S,this.type=D,this.input=j,this.cases=te,this.outputs=ue,this.otherwise=ve}static parse(S,D){if(S.length<5)return D.error(`Expected at least 4 arguments, but found only ${S.length-1}.`);if(S.length%2!=1)return D.error(\"Expected an even number of arguments.\");let j,te;D.expectedType&&D.expectedType.kind!==\"value\"&&(te=D.expectedType);let ue={},ve=[];for(let at=2;atNumber.MAX_SAFE_INTEGER)return Qt.error(`Branch labels must be integers no larger than ${Number.MAX_SAFE_INTEGER}.`);if(typeof Tr==\"number\"&&Math.floor(Tr)!==Tr)return Qt.error(\"Numeric branch labels must be integer values.\");if(j){if(Qt.checkSubtype(j,Ki(Tr)))return null}else j=Ki(Tr);if(ue[String(Tr)]!==void 0)return Qt.error(\"Branch labels must be unique.\");ue[String(Tr)]=ve.length}let sr=D.parse(Ft,at,te);if(!sr)return null;te=te||sr.type,ve.push(sr)}let De=D.parse(S[1],1,fr);if(!De)return null;let Ze=D.parse(S[S.length-1],S.length-1,te);return Ze?De.type.kind!==\"value\"&&D.concat(1).checkSubtype(j,De.type)?null:new zi(j,te,De,ue,ve,Ze):null}evaluate(S){let D=this.input.evaluate(S);return(Ki(D)===this.inputType&&this.outputs[this.cases[D]]||this.otherwise).evaluate(S)}eachChild(S){S(this.input),this.outputs.forEach(S),S(this.otherwise)}outputDefined(){return this.outputs.every(S=>S.outputDefined())&&this.otherwise.outputDefined()}}class Yi{constructor(S,D,j){this.type=S,this.branches=D,this.otherwise=j}static parse(S,D){if(S.length<4)return D.error(`Expected at least 3 arguments, but found only ${S.length-1}.`);if(S.length%2!=0)return D.error(\"Expected an odd number of arguments.\");let j;D.expectedType&&D.expectedType.kind!==\"value\"&&(j=D.expectedType);let te=[];for(let ve=1;veD.outputDefined())&&this.otherwise.outputDefined()}}class an{constructor(S,D,j,te){this.type=S,this.input=D,this.beginIndex=j,this.endIndex=te}static parse(S,D){if(S.length<=2||S.length>=5)return D.error(`Expected 3 or 4 arguments, but found ${S.length-1} instead.`);let j=D.parse(S[1],1,fr),te=D.parse(S[2],2,St);if(!j||!te)return null;if(!ht(j.type,[Ne(fr),Et,fr]))return D.error(`Expected first argument to be of type array or string, but found ${Ye(j.type)} instead`);if(S.length===4){let ue=D.parse(S[3],3,St);return ue?new an(j.type,j,te,ue):null}return new an(j.type,j,te)}evaluate(S){let D=this.input.evaluate(S),j=this.beginIndex.evaluate(S),te;if(this.endIndex&&(te=this.endIndex.evaluate(S)),Le(D,[\"string\"]))return[...D].slice(j,te).join(\"\");if(Le(D,[\"array\"]))return D.slice(j,te);throw new la(`Expected first argument to be of type array or string, but found ${Ye(Ki(D))} instead.`)}eachChild(S){S(this.input),S(this.beginIndex),this.endIndex&&S(this.endIndex)}outputDefined(){return!1}}function hi(R,S){let 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te=this.input.evaluate(S);if(te<=D[0])return j[0].evaluate(S);let ue=D.length;return te>=D[ue-1]?j[ue-1].evaluate(S):j[hi(D,te)].evaluate(S)}eachChild(S){S(this.input);for(let D of this.outputs)S(D)}outputDefined(){return this.outputs.every(S=>S.outputDefined())}}function ua(R){return R&&R.__esModule&&Object.prototype.hasOwnProperty.call(R,\"default\")?R.default:R}var Fn=Sa;function Sa(R,S,D,j){this.cx=3*R,this.bx=3*(D-R)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*S,this.by=3*(j-S)-this.cy,this.ay=1-this.cy-this.by,this.p1x=R,this.p1y=S,this.p2x=D,this.p2y=j}Sa.prototype={sampleCurveX:function(R){return((this.ax*R+this.bx)*R+this.cx)*R},sampleCurveY:function(R){return((this.ay*R+this.by)*R+this.cy)*R},sampleCurveDerivativeX:function(R){return(3*this.ax*R+2*this.bx)*R+this.cx},solveCurveX:function(R,S){if(S===void 0&&(S=1e-6),R<0)return 0;if(R>1)return 1;for(var D=R,j=0;j<8;j++){var te=this.sampleCurveX(D)-R;if(Math.abs(te)te?ve=D:De=D,D=.5*(De-ve)+ve;return 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Array.isArray(R)&&R.length>0&&typeof R[0]==\"string\"&&R[0]in kf}function fl(R,S){let D=new oo(kf,kh,[],S?function(te){let ue={color:Ht,string:Et,number:St,enum:Et,boolean:dt,formatted:Br,padding:Or,resolvedImage:Nr,variableAnchorOffsetCollection:ut};return te.type===\"array\"?Ne(ue[te.value]||fr,te.length):ue[te.type]}(S):void 0),j=D.parse(R,void 0,void 0,void 0,S&&S.type===\"string\"?{typeAnnotation:\"coerce\"}:void 0);return j?Wc(new Pu(j,S)):df(D.errors)}class Xc{constructor(S,D){this.kind=S,this._styleExpression=D,this.isStateDependent=S!==\"constant\"&&!rc(D.expression)}evaluateWithoutErrorHandling(S,D,j,te,ue,ve){return this._styleExpression.evaluateWithoutErrorHandling(S,D,j,te,ue,ve)}evaluate(S,D,j,te,ue,ve){return this._styleExpression.evaluate(S,D,j,te,ue,ve)}}class ic{constructor(S,D,j,te){this.kind=S,this.zoomStops=j,this._styleExpression=D,this.isStateDependent=S!==\"camera\"&&!rc(D.expression),this.interpolationType=te}evaluateWithoutErrorHandling(S,D,j,te,ue,ve){return this._styleExpression.evaluateWithoutErrorHandling(S,D,j,te,ue,ve)}evaluate(S,D,j,te,ue,ve){return this._styleExpression.evaluate(S,D,j,te,ue,ve)}interpolationFactor(S,D,j){return this.interpolationType?xo.interpolationFactor(this.interpolationType,S,D,j):0}}function yu(R,S){let D=fl(R,S);if(D.result===\"error\")return D;let j=D.value.expression,te=Kh(j);if(!te&&!Cu(S))return df([new xt(\"\",\"data expressions not supported\")]);let ue=ah(j,[\"zoom\"]);if(!ue&&!Nf(S))return df([new xt(\"\",\"zoom expressions not supported\")]);let ve=Qh(j);return ve||ue?ve instanceof xt?df([ve]):ve instanceof xo&&!Zc(S)?df([new xt(\"\",'\"interpolate\" expressions cannot be used with this property')]):Wc(ve?new ic(te?\"camera\":\"composite\",D.value,ve.labels,ve instanceof xo?ve.interpolation:void 0):new Xc(te?\"constant\":\"source\",D.value)):df([new xt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')])}class 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R;if(S===\"number\"||S===\"boolean\"||S===\"string\"||R==null)return JSON.stringify(R);if(Array.isArray(R)){let te=\"[\";for(let ue of R)te+=`${vf(ue)},`;return`${te}]`}let D=Object.keys(R).sort(),j=\"{\";for(let te=0;tej.maximum?[new er(S,D,`${D} is greater than the maximum value ${j.maximum}`)]:[]}function Pf(R){let S=R.valueSpec,D=Fs(R.value.type),j,te,ue,ve={},De=D!==\"categorical\"&&R.value.property===void 0,Ze=!De,at=ds(R.value.stops)===\"array\"&&ds(R.value.stops[0])===\"array\"&&ds(R.value.stops[0][0])===\"object\",Tt=xu({key:R.key,value:R.value,valueSpec:R.styleSpec.function,validateSpec:R.validateSpec,style:R.style,styleSpec:R.styleSpec,objectElementValidators:{stops:function(sr){if(D===\"identity\")return[new er(sr.key,sr.value,'identity function may not have a \"stops\" property')];let Tr=[],Pr=sr.value;return Tr=Tr.concat(Lh({key:sr.key,value:Pr,valueSpec:sr.valueSpec,validateSpec:sr.validateSpec,style:sr.style,styleSpec:sr.styleSpec,arrayElementValidator:Ft})),ds(Pr)===\"array\"&&Pr.length===0&&Tr.push(new er(sr.key,Pr,\"array must have at least one stop\")),Tr},default:function(sr){return sr.validateSpec({key:sr.key,value:sr.value,valueSpec:S,validateSpec:sr.validateSpec,style:sr.style,styleSpec:sr.styleSpec})}}});return D===\"identity\"&&De&&Tt.push(new er(R.key,R.value,'missing required property \"property\"')),D===\"identity\"||R.value.stops||Tt.push(new er(R.key,R.value,'missing required property \"stops\"')),D===\"exponential\"&&R.valueSpec.expression&&!Zc(R.valueSpec)&&Tt.push(new er(R.key,R.value,\"exponential functions not supported\")),R.styleSpec.$version>=8&&(Ze&&!Cu(R.valueSpec)?Tt.push(new er(R.key,R.value,\"property functions not supported\")):De&&!Nf(R.valueSpec)&&Tt.push(new er(R.key,R.value,\"zoom functions not 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Tr=Tr.concat(Qt({key:`${$r}[0]`,value:Pr[0],valueSpec:{},validateSpec:sr.validateSpec,style:sr.style,styleSpec:sr.styleSpec},Pr));return Lc(_u(Pr[1]))?Tr.concat([new er(`${$r}[1]`,Pr[1],\"expressions are not allowed in function stops.\")]):Tr.concat(sr.validateSpec({key:`${$r}[1]`,value:Pr[1],valueSpec:S,validateSpec:sr.validateSpec,style:sr.style,styleSpec:sr.styleSpec}))}function Qt(sr,Tr){let Pr=ds(sr.value),$r=Fs(sr.value),ni=sr.value!==null?sr.value:Tr;if(j){if(Pr!==j)return[new er(sr.key,ni,`${Pr} stop domain type must match previous stop domain type ${j}`)]}else j=Pr;if(Pr!==\"number\"&&Pr!==\"string\"&&Pr!==\"boolean\")return[new er(sr.key,ni,\"stop domain value must be a number, string, or boolean\")];if(Pr!==\"number\"&&D!==\"categorical\"){let Di=`number expected, ${Pr} found`;return Cu(S)&&D===void 0&&(Di+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new er(sr.key,ni,Di)]}return D!==\"categorical\"||Pr!==\"number\"||isFinite($r)&&Math.floor($r)===$r?D!==\"categorical\"&&Pr===\"number\"&&te!==void 0&&$rnew er(`${R.key}${j.key}`,R.value,j.message));let D=S.value.expression||S.value._styleExpression.expression;if(R.expressionContext===\"property\"&&R.propertyKey===\"text-font\"&&!D.outputDefined())return[new er(R.key,R.value,`Invalid data expression for \"${R.propertyKey}\". 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er(D,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return ju({key:`${D}.type`,value:S.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:te,validateSpec:ue,styleSpec:j})}}function hl(R){let S=R.value,D=R.styleSpec,j=D.light,te=R.style,ue=[],ve=ds(S);if(S===void 0)return ue;if(ve!==\"object\")return ue=ue.concat([new er(\"light\",S,`object expected, ${ve} found`)]),ue;for(let De in S){let Ze=De.match(/^(.*)-transition$/);ue=ue.concat(Ze&&j[Ze[1]]&&j[Ze[1]].transition?R.validateSpec({key:De,value:S[De],valueSpec:D.transition,validateSpec:R.validateSpec,style:te,styleSpec:D}):j[De]?R.validateSpec({key:De,value:S[De],valueSpec:j[De],validateSpec:R.validateSpec,style:te,styleSpec:D}):[new er(De,S[De],`unknown property \"${De}\"`)])}return ue}function ru(R){let S=R.value,D=R.styleSpec,j=D.sky,te=R.style,ue=ds(S);if(S===void 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fi=Bt,xi=fi.light,Fi=fi.sky,Xi=fi.paintProperty,hn=fi.layoutProperty;function Ti(R,S){let D=!1;if(S&&S.length)for(let j of S)R.fire(new me(new Error(j.message))),D=!0;return D}class qi{constructor(S,D,j){let te=this.cells=[];if(S instanceof ArrayBuffer){this.arrayBuffer=S;let ve=new Int32Array(this.arrayBuffer);S=ve[0],this.d=(D=ve[1])+2*(j=ve[2]);for(let Ze=0;Ze=Ft[Tr+0]&&te>=Ft[Tr+1])?(De[sr]=!0,ve.push(Tt[sr])):De[sr]=!1}}}}_forEachCell(S,D,j,te,ue,ve,De,Ze){let at=this._convertToCellCoord(S),Tt=this._convertToCellCoord(D),Ft=this._convertToCellCoord(j),Qt=this._convertToCellCoord(te);for(let sr=at;sr<=Ft;sr++)for(let Tr=Tt;Tr<=Qt;Tr++){let Pr=this.d*Tr+sr;if((!Ze||Ze(this._convertFromCellCoord(sr),this._convertFromCellCoord(Tr),this._convertFromCellCoord(sr+1),this._convertFromCellCoord(Tr+1)))&&ue.call(this,S,D,j,te,Pr,ve,De,Ze))return}}_convertFromCellCoord(S){return(S-this.padding)/this.scale}_convertToCellCoord(S){return 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Cn{constructor(){this.first=!0}update(S,D){let j=Math.floor(S);return this.first?(this.first=!1,this.lastIntegerZoom=j,this.lastIntegerZoomTime=0,this.lastZoom=S,this.lastFloorZoom=j,!0):(this.lastFloorZoom>j?(this.lastIntegerZoom=j+1,this.lastIntegerZoomTime=D):this.lastFloorZoomR>=128&&R<=255,\"Hangul Jamo\":R=>R>=4352&&R<=4607,Khmer:R=>R>=6016&&R<=6143,\"General Punctuation\":R=>R>=8192&&R<=8303,\"Letterlike Symbols\":R=>R>=8448&&R<=8527,\"Number Forms\":R=>R>=8528&&R<=8591,\"Miscellaneous Technical\":R=>R>=8960&&R<=9215,\"Control Pictures\":R=>R>=9216&&R<=9279,\"Optical Character Recognition\":R=>R>=9280&&R<=9311,\"Enclosed Alphanumerics\":R=>R>=9312&&R<=9471,\"Geometric Shapes\":R=>R>=9632&&R<=9727,\"Miscellaneous Symbols\":R=>R>=9728&&R<=9983,\"Miscellaneous Symbols and Arrows\":R=>R>=11008&&R<=11263,\"Ideographic Description Characters\":R=>R>=12272&&R<=12287,\"CJK Symbols and Punctuation\":R=>R>=12288&&R<=12351,Katakana:R=>R>=12448&&R<=12543,Kanbun:R=>R>=12688&&R<=12703,\"CJK 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Gs=Xo([\"Adlm\",\"Arab\",\"Armi\",\"Avst\",\"Chrs\",\"Cprt\",\"Egyp\",\"Elym\",\"Gara\",\"Hatr\",\"Hebr\",\"Hung\",\"Khar\",\"Lydi\",\"Mand\",\"Mani\",\"Mend\",\"Merc\",\"Mero\",\"Narb\",\"Nbat\",\"Nkoo\",\"Orkh\",\"Palm\",\"Phli\",\"Phlp\",\"Phnx\",\"Prti\",\"Rohg\",\"Samr\",\"Sarb\",\"Sogo\",\"Syrc\",\"Thaa\",\"Todr\",\"Yezi\"]);function Rs(R){return Gs.test(String.fromCodePoint(R))}function ia(R,S){return!(!S&&Rs(R)||R>=2304&&R<=3583||R>=3840&&R<=4255||sn.Khmer(R))}function Ka(R){for(let S of R)if(Rs(S.charCodeAt(0)))return!0;return!1}let vs=new class{constructor(){this.applyArabicShaping=null,this.processBidirectionalText=null,this.processStyledBidirectionalText=null,this.pluginStatus=\"unavailable\",this.pluginURL=null}setState(R){this.pluginStatus=R.pluginStatus,this.pluginURL=R.pluginURL}getState(){return{pluginStatus:this.pluginStatus,pluginURL:this.pluginURL}}setMethods(R){this.applyArabicShaping=R.applyArabicShaping,this.processBidirectionalText=R.processBidirectionalText,this.processStyledBidirectionalText=R.processStyledBidirectionalText}isParsed(){return this.applyArabicShaping!=null&&this.processBidirectionalText!=null&&this.processStyledBidirectionalText!=null}getPluginURL(){return this.pluginURL}getRTLTextPluginStatus(){return this.pluginStatus}};class Ko{constructor(S,D){this.zoom=S,D?(this.now=D.now,this.fadeDuration=D.fadeDuration,this.zoomHistory=D.zoomHistory,this.transition=D.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Cn,this.transition={})}isSupportedScript(S){return function(D,j){for(let te of D)if(!ia(te.charCodeAt(0),j))return!1;return!0}(S,vs.getRTLTextPluginStatus()===\"loaded\")}crossFadingFactor(){return this.fadeDuration===0?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)}getCrossfadeParameters(){let S=this.zoom,D=S-Math.floor(S),j=this.crossFadingFactor();return S>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:D+(1-D)*j}:{fromScale:.5,toScale:1,t:1-(1-j)*D}}}class iu{constructor(S,D){this.property=S,this.value=D,this.expression=function(j,te){if(Ch(j))return new Qs(j,te);if(Lc(j)){let ue=yu(j,te);if(ue.result===\"error\")throw new Error(ue.value.map(ve=>`${ve.key}: ${ve.message}`).join(\", \"));return ue.value}{let ue=j;return te.type===\"color\"&&typeof j==\"string\"?ue=Zt.parse(j):te.type!==\"padding\"||typeof j!=\"number\"&&!Array.isArray(j)?te.type===\"variableAnchorOffsetCollection\"&&Array.isArray(j)&&(ue=Si.parse(j)):ue=Vr.parse(j),{kind:\"constant\",evaluate:()=>ue}}}(D===void 0?S.specification.default:D,S.specification)}isDataDriven(){return this.expression.kind===\"source\"||this.expression.kind===\"composite\"}possiblyEvaluate(S,D,j){return this.property.possiblyEvaluate(this,S,D,j)}}class Ru{constructor(S){this.property=S,this.value=new iu(S,void 0)}transitioned(S,D){return new mf(this.property,this.value,D,L({},S.transition,this.transition),S.now)}untransitioned(){return new mf(this.property,this.value,null,{},0)}}class ac{constructor(S){this._properties=S,this._values=Object.create(S.defaultTransitionablePropertyValues)}getValue(S){return p(this._values[S].value.value)}setValue(S,D){Object.prototype.hasOwnProperty.call(this._values,S)||(this._values[S]=new Ru(this._values[S].property)),this._values[S].value=new iu(this._values[S].property,D===null?void 0:p(D))}getTransition(S){return p(this._values[S].transition)}setTransition(S,D){Object.prototype.hasOwnProperty.call(this._values,S)||(this._values[S]=new Ru(this._values[S].property)),this._values[S].transition=p(D)||void 0}serialize(){let S={};for(let D of Object.keys(this._values)){let j=this.getValue(D);j!==void 0&&(S[D]=j);let te=this.getTransition(D);te!==void 0&&(S[`${D}-transition`]=te)}return S}transitioned(S,D){let j=new bu(this._properties);for(let te of Object.keys(this._values))j._values[te]=this._values[te].transitioned(S,D._values[te]);return j}untransitioned(){let S=new bu(this._properties);for(let D of Object.keys(this._values))S._values[D]=this._values[D].untransitioned();return S}}class mf{constructor(S,D,j,te,ue){this.property=S,this.value=D,this.begin=ue+te.delay||0,this.end=this.begin+te.duration||0,S.specification.transition&&(te.delay||te.duration)&&(this.prior=j)}possiblyEvaluate(S,D,j){let te=S.now||0,ue=this.value.possiblyEvaluate(S,D,j),ve=this.prior;if(ve){if(te>this.end)return this.prior=null,ue;if(this.value.isDataDriven())return this.prior=null,ue;if(te=1)return 1;let at=Ze*Ze,Tt=at*Ze;return 4*(Ze<.5?Tt:3*(Ze-at)+Tt-.75)}(De))}}return ue}}class bu{constructor(S){this._properties=S,this._values=Object.create(S.defaultTransitioningPropertyValues)}possiblyEvaluate(S,D,j){let te=new Dc(this._properties);for(let ue of Object.keys(this._values))te._values[ue]=this._values[ue].possiblyEvaluate(S,D,j);return te}hasTransition(){for(let S of Object.keys(this._values))if(this._values[S].prior)return!0;return!1}}class Kc{constructor(S){this._properties=S,this._values=Object.create(S.defaultPropertyValues)}hasValue(S){return this._values[S].value!==void 0}getValue(S){return p(this._values[S].value)}setValue(S,D){this._values[S]=new iu(this._values[S].property,D===null?void 0:p(D))}serialize(){let S={};for(let D of Object.keys(this._values)){let j=this.getValue(D);j!==void 0&&(S[D]=j)}return S}possiblyEvaluate(S,D,j){let te=new Dc(this._properties);for(let ue of Object.keys(this._values))te._values[ue]=this._values[ue].possiblyEvaluate(S,D,j);return te}}class Du{constructor(S,D,j){this.property=S,this.value=D,this.parameters=j}isConstant(){return this.value.kind===\"constant\"}constantOr(S){return this.value.kind===\"constant\"?this.value.value:S}evaluate(S,D,j,te){return this.property.evaluate(this.value,this.parameters,S,D,j,te)}}class Dc{constructor(S){this._properties=S,this._values=Object.create(S.defaultPossiblyEvaluatedValues)}get(S){return this._values[S]}}class Da{constructor(S){this.specification=S}possiblyEvaluate(S,D){if(S.isDataDriven())throw new Error(\"Value should not be data driven\");return S.expression.evaluate(D)}interpolate(S,D,j){let te=Mo[this.specification.type];return te?te(S,D,j):S}}class eo{constructor(S,D){this.specification=S,this.overrides=D}possiblyEvaluate(S,D,j,te){return new Du(this,S.expression.kind===\"constant\"||S.expression.kind===\"camera\"?{kind:\"constant\",value:S.expression.evaluate(D,null,{},j,te)}:S.expression,D)}interpolate(S,D,j){if(S.value.kind!==\"constant\"||D.value.kind!==\"constant\")return S;if(S.value.value===void 0||D.value.value===void 0)return new Du(this,{kind:\"constant\",value:void 0},S.parameters);let te=Mo[this.specification.type];if(te){let ue=te(S.value.value,D.value.value,j);return new Du(this,{kind:\"constant\",value:ue},S.parameters)}return S}evaluate(S,D,j,te,ue,ve){return S.kind===\"constant\"?S.value:S.evaluate(D,j,te,ue,ve)}}class Jc extends eo{possiblyEvaluate(S,D,j,te){if(S.value===void 0)return new Du(this,{kind:\"constant\",value:void 0},D);if(S.expression.kind===\"constant\"){let ue=S.expression.evaluate(D,null,{},j,te),ve=S.property.specification.type===\"resolvedImage\"&&typeof ue!=\"string\"?ue.name:ue,De=this._calculate(ve,ve,ve,D);return new Du(this,{kind:\"constant\",value:De},D)}if(S.expression.kind===\"camera\"){let ue=this._calculate(S.expression.evaluate({zoom:D.zoom-1}),S.expression.evaluate({zoom:D.zoom}),S.expression.evaluate({zoom:D.zoom+1}),D);return new Du(this,{kind:\"constant\",value:ue},D)}return new Du(this,S.expression,D)}evaluate(S,D,j,te,ue,ve){if(S.kind===\"source\"){let De=S.evaluate(D,j,te,ue,ve);return this._calculate(De,De,De,D)}return S.kind===\"composite\"?this._calculate(S.evaluate({zoom:Math.floor(D.zoom)-1},j,te),S.evaluate({zoom:Math.floor(D.zoom)},j,te),S.evaluate({zoom:Math.floor(D.zoom)+1},j,te),D):S.value}_calculate(S,D,j,te){return te.zoom>te.zoomHistory.lastIntegerZoom?{from:S,to:D}:{from:j,to:D}}interpolate(S){return S}}class yc{constructor(S){this.specification=S}possiblyEvaluate(S,D,j,te){if(S.value!==void 0){if(S.expression.kind===\"constant\"){let ue=S.expression.evaluate(D,null,{},j,te);return this._calculate(ue,ue,ue,D)}return this._calculate(S.expression.evaluate(new Ko(Math.floor(D.zoom-1),D)),S.expression.evaluate(new Ko(Math.floor(D.zoom),D)),S.expression.evaluate(new Ko(Math.floor(D.zoom+1),D)),D)}}_calculate(S,D,j,te){return te.zoom>te.zoomHistory.lastIntegerZoom?{from:S,to:D}:{from:j,to:D}}interpolate(S){return S}}class _c{constructor(S){this.specification=S}possiblyEvaluate(S,D,j,te){return!!S.expression.evaluate(D,null,{},j,te)}interpolate(){return!1}}class le{constructor(S){this.properties=S,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(let D in S){let j=S[D];j.specification.overridable&&this.overridableProperties.push(D);let te=this.defaultPropertyValues[D]=new iu(j,void 0),ue=this.defaultTransitionablePropertyValues[D]=new Ru(j);this.defaultTransitioningPropertyValues[D]=ue.untransitioned(),this.defaultPossiblyEvaluatedValues[D]=te.possiblyEvaluate({})}}}mi(\"DataDrivenProperty\",eo),mi(\"DataConstantProperty\",Da),mi(\"CrossFadedDataDrivenProperty\",Jc),mi(\"CrossFadedProperty\",yc),mi(\"ColorRampProperty\",_c);let w=\"-transition\";class B extends Re{constructor(S,D){if(super(),this.id=S.id,this.type=S.type,this._featureFilter={filter:()=>!0,needGeometry:!1},S.type!==\"custom\"&&(this.metadata=S.metadata,this.minzoom=S.minzoom,this.maxzoom=S.maxzoom,S.type!==\"background\"&&(this.source=S.source,this.sourceLayer=S[\"source-layer\"],this.filter=S.filter),D.layout&&(this._unevaluatedLayout=new Kc(D.layout)),D.paint)){this._transitionablePaint=new ac(D.paint);for(let j in S.paint)this.setPaintProperty(j,S.paint[j],{validate:!1});for(let j in S.layout)this.setLayoutProperty(j,S.layout[j],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Dc(D.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(S){return S===\"visibility\"?this.visibility:this._unevaluatedLayout.getValue(S)}setLayoutProperty(S,D,j={}){D!=null&&this._validate(hn,`layers.${this.id}.layout.${S}`,S,D,j)||(S!==\"visibility\"?this._unevaluatedLayout.setValue(S,D):this.visibility=D)}getPaintProperty(S){return S.endsWith(w)?this._transitionablePaint.getTransition(S.slice(0,-11)):this._transitionablePaint.getValue(S)}setPaintProperty(S,D,j={}){if(D!=null&&this._validate(Xi,`layers.${this.id}.paint.${S}`,S,D,j))return!1;if(S.endsWith(w))return this._transitionablePaint.setTransition(S.slice(0,-11),D||void 0),!1;{let te=this._transitionablePaint._values[S],ue=te.property.specification[\"property-type\"]===\"cross-faded-data-driven\",ve=te.value.isDataDriven(),De=te.value;this._transitionablePaint.setValue(S,D),this._handleSpecialPaintPropertyUpdate(S);let Ze=this._transitionablePaint._values[S].value;return Ze.isDataDriven()||ve||ue||this._handleOverridablePaintPropertyUpdate(S,De,Ze)}}_handleSpecialPaintPropertyUpdate(S){}_handleOverridablePaintPropertyUpdate(S,D,j){return!1}isHidden(S){return!!(this.minzoom&&S=this.maxzoom)||this.visibility===\"none\"}updateTransitions(S){this._transitioningPaint=this._transitionablePaint.transitioned(S,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(S,D){S.getCrossfadeParameters&&(this._crossfadeParameters=S.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(S,void 0,D)),this.paint=this._transitioningPaint.possiblyEvaluate(S,void 0,D)}serialize(){let S={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(S.layout=S.layout||{},S.layout.visibility=this.visibility),M(S,(D,j)=>!(D===void 0||j===\"layout\"&&!Object.keys(D).length||j===\"paint\"&&!Object.keys(D).length))}_validate(S,D,j,te,ue={}){return(!ue||ue.validate!==!1)&&Ti(this,S.call(fi,{key:D,layerType:this.type,objectKey:j,value:te,styleSpec:ce,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(let S in this.paint._values){let D=this.paint.get(S);if(D instanceof Du&&Cu(D.property.specification)&&(D.value.kind===\"source\"||D.value.kind===\"composite\")&&D.value.isStateDependent)return!0}return!1}}let Q={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class ee{constructor(S,D){this._structArray=S,this._pos1=D*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8}}class se{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(S,D){return S._trim(),D&&(S.isTransferred=!0,D.push(S.arrayBuffer)),{length:S.length,arrayBuffer:S.arrayBuffer}}static deserialize(S){let D=Object.create(this.prototype);return D.arrayBuffer=S.arrayBuffer,D.length=S.length,D.capacity=S.arrayBuffer.byteLength/D.bytesPerElement,D._refreshViews(),D}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(S){this.reserve(S),this.length=S}reserve(S){if(S>this.capacity){this.capacity=Math.max(S,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);let D=this.uint8;this._refreshViews(),D&&this.uint8.set(D)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function qe(R,S=1){let D=0,j=0;return{members:R.map(te=>{let ue=Q[te.type].BYTES_PER_ELEMENT,ve=D=je(D,Math.max(S,ue)),De=te.components||1;return j=Math.max(j,ue),D+=ue*De,{name:te.name,type:te.type,components:De,offset:ve}}),size:je(D,Math.max(j,S)),alignment:S}}function je(R,S){return Math.ceil(R/S)*S}class it extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D){let j=this.length;return this.resize(j+1),this.emplace(j,S,D)}emplace(S,D,j){let te=2*S;return this.int16[te+0]=D,this.int16[te+1]=j,S}}it.prototype.bytesPerElement=4,mi(\"StructArrayLayout2i4\",it);class yt extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=3*S;return this.int16[ue+0]=D,this.int16[ue+1]=j,this.int16[ue+2]=te,S}}yt.prototype.bytesPerElement=6,mi(\"StructArrayLayout3i6\",yt);class Ot extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te){let ue=this.length;return this.resize(ue+1),this.emplace(ue,S,D,j,te)}emplace(S,D,j,te,ue){let ve=4*S;return this.int16[ve+0]=D,this.int16[ve+1]=j,this.int16[ve+2]=te,this.int16[ve+3]=ue,S}}Ot.prototype.bytesPerElement=8,mi(\"StructArrayLayout4i8\",Ot);class Nt extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve){let De=this.length;return this.resize(De+1),this.emplace(De,S,D,j,te,ue,ve)}emplace(S,D,j,te,ue,ve,De){let Ze=6*S;return this.int16[Ze+0]=D,this.int16[Ze+1]=j,this.int16[Ze+2]=te,this.int16[Ze+3]=ue,this.int16[Ze+4]=ve,this.int16[Ze+5]=De,S}}Nt.prototype.bytesPerElement=12,mi(\"StructArrayLayout2i4i12\",Nt);class hr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve){let De=this.length;return this.resize(De+1),this.emplace(De,S,D,j,te,ue,ve)}emplace(S,D,j,te,ue,ve,De){let Ze=4*S,at=8*S;return this.int16[Ze+0]=D,this.int16[Ze+1]=j,this.uint8[at+4]=te,this.uint8[at+5]=ue,this.uint8[at+6]=ve,this.uint8[at+7]=De,S}}hr.prototype.bytesPerElement=8,mi(\"StructArrayLayout2i4ub8\",hr);class Sr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D){let j=this.length;return this.resize(j+1),this.emplace(j,S,D)}emplace(S,D,j){let te=2*S;return this.float32[te+0]=D,this.float32[te+1]=j,S}}Sr.prototype.bytesPerElement=8,mi(\"StructArrayLayout2f8\",Sr);class he extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at,Tt){let Ft=this.length;return this.resize(Ft+1),this.emplace(Ft,S,D,j,te,ue,ve,De,Ze,at,Tt)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft){let Qt=10*S;return this.uint16[Qt+0]=D,this.uint16[Qt+1]=j,this.uint16[Qt+2]=te,this.uint16[Qt+3]=ue,this.uint16[Qt+4]=ve,this.uint16[Qt+5]=De,this.uint16[Qt+6]=Ze,this.uint16[Qt+7]=at,this.uint16[Qt+8]=Tt,this.uint16[Qt+9]=Ft,S}}he.prototype.bytesPerElement=20,mi(\"StructArrayLayout10ui20\",he);class be extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt){let sr=this.length;return this.resize(sr+1),this.emplace(sr,S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr){let Tr=12*S;return this.int16[Tr+0]=D,this.int16[Tr+1]=j,this.int16[Tr+2]=te,this.int16[Tr+3]=ue,this.uint16[Tr+4]=ve,this.uint16[Tr+5]=De,this.uint16[Tr+6]=Ze,this.uint16[Tr+7]=at,this.int16[Tr+8]=Tt,this.int16[Tr+9]=Ft,this.int16[Tr+10]=Qt,this.int16[Tr+11]=sr,S}}be.prototype.bytesPerElement=24,mi(\"StructArrayLayout4i4ui4i24\",be);class Pe extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=3*S;return this.float32[ue+0]=D,this.float32[ue+1]=j,this.float32[ue+2]=te,S}}Pe.prototype.bytesPerElement=12,mi(\"StructArrayLayout3f12\",Pe);class Oe extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(S){let D=this.length;return this.resize(D+1),this.emplace(D,S)}emplace(S,D){return this.uint32[1*S+0]=D,S}}Oe.prototype.bytesPerElement=4,mi(\"StructArrayLayout1ul4\",Oe);class Je extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at){let Tt=this.length;return this.resize(Tt+1),this.emplace(Tt,S,D,j,te,ue,ve,De,Ze,at)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt){let Ft=10*S,Qt=5*S;return this.int16[Ft+0]=D,this.int16[Ft+1]=j,this.int16[Ft+2]=te,this.int16[Ft+3]=ue,this.int16[Ft+4]=ve,this.int16[Ft+5]=De,this.uint32[Qt+3]=Ze,this.uint16[Ft+8]=at,this.uint16[Ft+9]=Tt,S}}Je.prototype.bytesPerElement=20,mi(\"StructArrayLayout6i1ul2ui20\",Je);class He extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve){let De=this.length;return this.resize(De+1),this.emplace(De,S,D,j,te,ue,ve)}emplace(S,D,j,te,ue,ve,De){let Ze=6*S;return this.int16[Ze+0]=D,this.int16[Ze+1]=j,this.int16[Ze+2]=te,this.int16[Ze+3]=ue,this.int16[Ze+4]=ve,this.int16[Ze+5]=De,S}}He.prototype.bytesPerElement=12,mi(\"StructArrayLayout2i2i2i12\",He);class et extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue){let ve=this.length;return this.resize(ve+1),this.emplace(ve,S,D,j,te,ue)}emplace(S,D,j,te,ue,ve){let De=4*S,Ze=8*S;return this.float32[De+0]=D,this.float32[De+1]=j,this.float32[De+2]=te,this.int16[Ze+6]=ue,this.int16[Ze+7]=ve,S}}et.prototype.bytesPerElement=16,mi(\"StructArrayLayout2f1f2i16\",et);class Mt extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve){let De=this.length;return this.resize(De+1),this.emplace(De,S,D,j,te,ue,ve)}emplace(S,D,j,te,ue,ve,De){let Ze=16*S,at=4*S,Tt=8*S;return this.uint8[Ze+0]=D,this.uint8[Ze+1]=j,this.float32[at+1]=te,this.float32[at+2]=ue,this.int16[Tt+6]=ve,this.int16[Tt+7]=De,S}}Mt.prototype.bytesPerElement=16,mi(\"StructArrayLayout2ub2f2i16\",Mt);class Dt extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=3*S;return this.uint16[ue+0]=D,this.uint16[ue+1]=j,this.uint16[ue+2]=te,S}}Dt.prototype.bytesPerElement=6,mi(\"StructArrayLayout3ui6\",Dt);class Ut extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni){let Di=this.length;return this.resize(Di+1),this.emplace(Di,S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni,Di){let pi=24*S,ki=12*S,Zi=48*S;return this.int16[pi+0]=D,this.int16[pi+1]=j,this.uint16[pi+2]=te,this.uint16[pi+3]=ue,this.uint32[ki+2]=ve,this.uint32[ki+3]=De,this.uint32[ki+4]=Ze,this.uint16[pi+10]=at,this.uint16[pi+11]=Tt,this.uint16[pi+12]=Ft,this.float32[ki+7]=Qt,this.float32[ki+8]=sr,this.uint8[Zi+36]=Tr,this.uint8[Zi+37]=Pr,this.uint8[Zi+38]=$r,this.uint32[ki+10]=ni,this.int16[pi+22]=Di,S}}Ut.prototype.bytesPerElement=48,mi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Ut);class tr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni,Di,pi,ki,Zi,ta,Va,Io,La,Hn,lo,$a){let Xa=this.length;return this.resize(Xa+1),this.emplace(Xa,S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni,Di,pi,ki,Zi,ta,Va,Io,La,Hn,lo,$a)}emplace(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft,Qt,sr,Tr,Pr,$r,ni,Di,pi,ki,Zi,ta,Va,Io,La,Hn,lo,$a,Xa){let Tn=32*S,bo=16*S;return this.int16[Tn+0]=D,this.int16[Tn+1]=j,this.int16[Tn+2]=te,this.int16[Tn+3]=ue,this.int16[Tn+4]=ve,this.int16[Tn+5]=De,this.int16[Tn+6]=Ze,this.int16[Tn+7]=at,this.uint16[Tn+8]=Tt,this.uint16[Tn+9]=Ft,this.uint16[Tn+10]=Qt,this.uint16[Tn+11]=sr,this.uint16[Tn+12]=Tr,this.uint16[Tn+13]=Pr,this.uint16[Tn+14]=$r,this.uint16[Tn+15]=ni,this.uint16[Tn+16]=Di,this.uint16[Tn+17]=pi,this.uint16[Tn+18]=ki,this.uint16[Tn+19]=Zi,this.uint16[Tn+20]=ta,this.uint16[Tn+21]=Va,this.uint16[Tn+22]=Io,this.uint32[bo+12]=La,this.float32[bo+13]=Hn,this.float32[bo+14]=lo,this.uint16[Tn+30]=$a,this.uint16[Tn+31]=Xa,S}}tr.prototype.bytesPerElement=64,mi(\"StructArrayLayout8i15ui1ul2f2ui64\",tr);class mr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S){let D=this.length;return this.resize(D+1),this.emplace(D,S)}emplace(S,D){return this.float32[1*S+0]=D,S}}mr.prototype.bytesPerElement=4,mi(\"StructArrayLayout1f4\",mr);class Rr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=3*S;return this.uint16[6*S+0]=D,this.float32[ue+1]=j,this.float32[ue+2]=te,S}}Rr.prototype.bytesPerElement=12,mi(\"StructArrayLayout1ui2f12\",Rr);class zr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D,j){let te=this.length;return this.resize(te+1),this.emplace(te,S,D,j)}emplace(S,D,j,te){let ue=4*S;return this.uint32[2*S+0]=D,this.uint16[ue+2]=j,this.uint16[ue+3]=te,S}}zr.prototype.bytesPerElement=8,mi(\"StructArrayLayout1ul2ui8\",zr);class Xr extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S,D){let j=this.length;return this.resize(j+1),this.emplace(j,S,D)}emplace(S,D,j){let te=2*S;return this.uint16[te+0]=D,this.uint16[te+1]=j,S}}Xr.prototype.bytesPerElement=4,mi(\"StructArrayLayout2ui4\",Xr);class di extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(S){let D=this.length;return this.resize(D+1),this.emplace(D,S)}emplace(S,D){return this.uint16[1*S+0]=D,S}}di.prototype.bytesPerElement=2,mi(\"StructArrayLayout1ui2\",di);class Li extends se{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(S,D,j,te){let ue=this.length;return this.resize(ue+1),this.emplace(ue,S,D,j,te)}emplace(S,D,j,te,ue){let ve=4*S;return this.float32[ve+0]=D,this.float32[ve+1]=j,this.float32[ve+2]=te,this.float32[ve+3]=ue,S}}Li.prototype.bytesPerElement=16,mi(\"StructArrayLayout4f16\",Li);class Ci extends ee{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new u(this.anchorPointX,this.anchorPointY)}}Ci.prototype.size=20;class Qi extends Je{get(S){return new Ci(this,S)}}mi(\"CollisionBoxArray\",Qi);class Mn extends ee{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(S){this._structArray.uint8[this._pos1+37]=S}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(S){this._structArray.uint8[this._pos1+38]=S}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(S){this._structArray.uint32[this._pos4+10]=S}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Mn.prototype.size=48;class pa extends Ut{get(S){return new Mn(this,S)}}mi(\"PlacedSymbolArray\",pa);class ea extends ee{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(S){this._structArray.uint32[this._pos4+12]=S}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}ea.prototype.size=64;class Ga extends tr{get(S){return new ea(this,S)}}mi(\"SymbolInstanceArray\",Ga);class To extends mr{getoffsetX(S){return this.float32[1*S+0]}}mi(\"GlyphOffsetArray\",To);class Wa extends yt{getx(S){return this.int16[3*S+0]}gety(S){return this.int16[3*S+1]}gettileUnitDistanceFromAnchor(S){return this.int16[3*S+2]}}mi(\"SymbolLineVertexArray\",Wa);class co extends ee{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}co.prototype.size=12;class Ro extends Rr{get(S){return new co(this,S)}}mi(\"TextAnchorOffsetArray\",Ro);class Ds extends ee{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ds.prototype.size=8;class As extends zr{get(S){return new Ds(this,S)}}mi(\"FeatureIndexArray\",As);class yo extends it{}class po extends it{}class _l extends it{}class Vl extends Nt{}class Zu extends hr{}class cu extends Sr{}class el extends he{}class nu extends be{}class zc extends Pe{}class Dl extends Oe{}class zl extends He{}class Z extends Mt{}class oe extends Dt{}class we extends Xr{}let Be=qe([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:Ue}=Be;class We{constructor(S=[]){this.segments=S}prepareSegment(S,D,j,te){let ue=this.segments[this.segments.length-1];return S>We.MAX_VERTEX_ARRAY_LENGTH&&T(`Max vertices per segment is ${We.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${S}`),(!ue||ue.vertexLength+S>We.MAX_VERTEX_ARRAY_LENGTH||ue.sortKey!==te)&&(ue={vertexOffset:D.length,primitiveOffset:j.length,vertexLength:0,primitiveLength:0},te!==void 0&&(ue.sortKey=te),this.segments.push(ue)),ue}get(){return this.segments}destroy(){for(let S of this.segments)for(let D in S.vaos)S.vaos[D].destroy()}static simpleSegment(S,D,j,te){return new We([{vertexOffset:S,primitiveOffset:D,vertexLength:j,primitiveLength:te,vaos:{},sortKey:0}])}}function wt(R,S){return 256*(R=k(Math.floor(R),0,255))+k(Math.floor(S),0,255)}We.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,mi(\"SegmentVector\",We);let tt=qe([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var zt={exports:{}},or={exports:{}};or.exports=function(R,S){var D,j,te,ue,ve,De,Ze,at;for(j=R.length-(D=3&R.length),te=S,ve=3432918353,De=461845907,at=0;at>>16)*ve&65535)<<16)&4294967295)<<15|Ze>>>17))*De+(((Ze>>>16)*De&65535)<<16)&4294967295)<<13|te>>>19))+((5*(te>>>16)&65535)<<16)&4294967295))+((58964+(ue>>>16)&65535)<<16);switch(Ze=0,D){case 3:Ze^=(255&R.charCodeAt(at+2))<<16;case 2:Ze^=(255&R.charCodeAt(at+1))<<8;case 1:te^=Ze=(65535&(Ze=(Ze=(65535&(Ze^=255&R.charCodeAt(at)))*ve+(((Ze>>>16)*ve&65535)<<16)&4294967295)<<15|Ze>>>17))*De+(((Ze>>>16)*De&65535)<<16)&4294967295}return te^=R.length,te=2246822507*(65535&(te^=te>>>16))+((2246822507*(te>>>16)&65535)<<16)&4294967295,te=3266489909*(65535&(te^=te>>>13))+((3266489909*(te>>>16)&65535)<<16)&4294967295,(te^=te>>>16)>>>0};var lr=or.exports,Dr={exports:{}};Dr.exports=function(R,S){for(var D,j=R.length,te=S^j,ue=0;j>=4;)D=1540483477*(65535&(D=255&R.charCodeAt(ue)|(255&R.charCodeAt(++ue))<<8|(255&R.charCodeAt(++ue))<<16|(255&R.charCodeAt(++ue))<<24))+((1540483477*(D>>>16)&65535)<<16),te=1540483477*(65535&te)+((1540483477*(te>>>16)&65535)<<16)^(D=1540483477*(65535&(D^=D>>>24))+((1540483477*(D>>>16)&65535)<<16)),j-=4,++ue;switch(j){case 3:te^=(255&R.charCodeAt(ue+2))<<16;case 2:te^=(255&R.charCodeAt(ue+1))<<8;case 1:te=1540483477*(65535&(te^=255&R.charCodeAt(ue)))+((1540483477*(te>>>16)&65535)<<16)}return te=1540483477*(65535&(te^=te>>>13))+((1540483477*(te>>>16)&65535)<<16),(te^=te>>>15)>>>0};var Ir=lr,oi=Dr.exports;zt.exports=Ir,zt.exports.murmur3=Ir,zt.exports.murmur2=oi;var ui=o(zt.exports);class qr{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(S,D,j,te){this.ids.push(Kr(S)),this.positions.push(D,j,te)}getPositions(S){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");let D=Kr(S),j=0,te=this.ids.length-1;for(;j>1;this.ids[ve]>=D?te=ve:j=ve+1}let ue=[];for(;this.ids[j]===D;)ue.push({index:this.positions[3*j],start:this.positions[3*j+1],end:this.positions[3*j+2]}),j++;return ue}static serialize(S,D){let j=new Float64Array(S.ids),te=new Uint32Array(S.positions);return ii(j,te,0,j.length-1),D&&D.push(j.buffer,te.buffer),{ids:j,positions:te}}static deserialize(S){let D=new qr;return D.ids=S.ids,D.positions=S.positions,D.indexed=!0,D}}function Kr(R){let S=+R;return!isNaN(S)&&S<=Number.MAX_SAFE_INTEGER?S:ui(String(R))}function ii(R,S,D,j){for(;D>1],ue=D-1,ve=j+1;for(;;){do ue++;while(R[ue]te);if(ue>=ve)break;vi(R,ue,ve),vi(S,3*ue,3*ve),vi(S,3*ue+1,3*ve+1),vi(S,3*ue+2,3*ve+2)}ve-D`u_${te}`),this.type=j}setUniform(S,D,j){S.set(j.constantOr(this.value))}getBinding(S,D,j){return this.type===\"color\"?new dn(S,D):new Jr(S,D)}}class ya{constructor(S,D){this.uniformNames=D.map(j=>`u_${j}`),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(S,D){this.pixelRatioFrom=D.pixelRatio,this.pixelRatioTo=S.pixelRatio,this.patternFrom=D.tlbr,this.patternTo=S.tlbr}setUniform(S,D,j,te){let ue=te===\"u_pattern_to\"?this.patternTo:te===\"u_pattern_from\"?this.patternFrom:te===\"u_pixel_ratio_to\"?this.pixelRatioTo:te===\"u_pixel_ratio_from\"?this.pixelRatioFrom:null;ue&&S.set(ue)}getBinding(S,D,j){return j.substr(0,9)===\"u_pattern\"?new un(S,D):new Jr(S,D)}}class so{constructor(S,D,j,te){this.expression=S,this.type=j,this.maxValue=0,this.paintVertexAttributes=D.map(ue=>({name:`a_${ue}`,type:\"Float32\",components:j===\"color\"?2:1,offset:0})),this.paintVertexArray=new te}populatePaintArray(S,D,j,te,ue){let ve=this.paintVertexArray.length,De=this.expression.evaluate(new Ko(0),D,{},te,[],ue);this.paintVertexArray.resize(S),this._setPaintValue(ve,S,De)}updatePaintArray(S,D,j,te){let ue=this.expression.evaluate({zoom:0},j,te);this._setPaintValue(S,D,ue)}_setPaintValue(S,D,j){if(this.type===\"color\"){let te=Nn(j);for(let ue=S;ue`u_${De}_t`),this.type=j,this.useIntegerZoom=te,this.zoom=ue,this.maxValue=0,this.paintVertexAttributes=D.map(De=>({name:`a_${De}`,type:\"Float32\",components:j===\"color\"?4:2,offset:0})),this.paintVertexArray=new ve}populatePaintArray(S,D,j,te,ue){let ve=this.expression.evaluate(new Ko(this.zoom),D,{},te,[],ue),De=this.expression.evaluate(new Ko(this.zoom+1),D,{},te,[],ue),Ze=this.paintVertexArray.length;this.paintVertexArray.resize(S),this._setPaintValue(Ze,S,ve,De)}updatePaintArray(S,D,j,te){let ue=this.expression.evaluate({zoom:this.zoom},j,te),ve=this.expression.evaluate({zoom:this.zoom+1},j,te);this._setPaintValue(S,D,ue,ve)}_setPaintValue(S,D,j,te){if(this.type===\"color\"){let ue=Nn(j),ve=Nn(te);for(let De=S;De`#define HAS_UNIFORM_${te}`))}return S}getBinderAttributes(){let S=[];for(let D in this.binders){let j=this.binders[D];if(j instanceof so||j instanceof wa)for(let te=0;te!0){this.programConfigurations={};for(let te of S)this.programConfigurations[te.id]=new Ss(te,D,j);this.needsUpload=!1,this._featureMap=new qr,this._bufferOffset=0}populatePaintArrays(S,D,j,te,ue,ve){for(let De in this.programConfigurations)this.programConfigurations[De].populatePaintArrays(S,D,te,ue,ve);D.id!==void 0&&this._featureMap.add(D.id,j,this._bufferOffset,S),this._bufferOffset=S,this.needsUpload=!0}updatePaintArrays(S,D,j,te){for(let ue of j)this.needsUpload=this.programConfigurations[ue.id].updatePaintArrays(S,this._featureMap,D,ue,te)||this.needsUpload}get(S){return this.programConfigurations[S]}upload(S){if(this.needsUpload){for(let D in this.programConfigurations)this.programConfigurations[D].upload(S);this.needsUpload=!1}}destroy(){for(let S in this.programConfigurations)this.programConfigurations[S].destroy()}}function Ns(R,S){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[R]||[R.replace(`${S}-`,\"\").replace(/-/g,\"_\")]}function pn(R,S,D){let 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te=this.layers[0].layout.get(\"fill-sort-key\"),ue=!te.isConstant(),ve=[];for(let{feature:De,id:Ze,index:at,sourceLayerIndex:Tt}of S){let Ft=this.layers[0]._featureFilter.needGeometry,Qt=xl(De,Ft);if(!this.layers[0]._featureFilter.filter(new Ko(this.zoom),Qt,j))continue;let sr=ue?te.evaluate(Qt,{},j,D.availableImages):void 0,Tr={id:Ze,properties:De.properties,type:De.type,sourceLayerIndex:Tt,index:at,geometry:Ft?Qt.geometry:js(De),patterns:{},sortKey:sr};ve.push(Tr)}ue&&ve.sort((De,Ze)=>De.sortKey-Ze.sortKey);for(let De of ve){let{geometry:Ze,index:at,sourceLayerIndex:Tt}=De;if(this.hasPattern){let Ft=rr(\"fill\",this.layers,De,this.zoom,D);this.patternFeatures.push(Ft)}else this.addFeature(De,Ze,at,j,{});D.featureIndex.insert(S[at].feature,Ze,at,Tt,this.index)}}update(S,D,j){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(S,D,this.stateDependentLayers,j)}addFeatures(S,D,j){for(let te of this.patternFeatures)this.addFeature(te,te.geometry,te.index,D,j)}isEmpty(){return this.layoutVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(S){this.uploaded||(this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,Qc),this.indexBuffer=S.createIndexBuffer(this.indexArray),this.indexBuffer2=S.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(S),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())}addFeature(S,D,j,te,ue){for(let ve of Of(D,500)){let De=0;for(let sr of ve)De+=sr.length;let Ze=this.segments.prepareSegment(De,this.layoutVertexArray,this.indexArray),at=Ze.vertexLength,Tt=[],Ft=[];for(let sr of ve){if(sr.length===0)continue;sr!==ve[0]&&Ft.push(Tt.length/2);let Tr=this.segments2.prepareSegment(sr.length,this.layoutVertexArray,this.indexArray2),Pr=Tr.vertexLength;this.layoutVertexArray.emplaceBack(sr[0].x,sr[0].y),this.indexArray2.emplaceBack(Pr+sr.length-1,Pr),Tt.push(sr[0].x),Tt.push(sr[0].y);for(let $r=1;$r>3}if(te--,j===1||j===2)ue+=R.readSVarint(),ve+=R.readSVarint(),j===1&&(S&&De.push(S),S=[]),S.push(new yi(ue,ve));else{if(j!==7)throw new Error(\"unknown command \"+j);S&&S.push(S[0].clone())}}return S&&De.push(S),De},Ri.prototype.bbox=function(){var R=this._pbf;R.pos=this._geometry;for(var S=R.readVarint()+R.pos,D=1,j=0,te=0,ue=0,ve=1/0,De=-1/0,Ze=1/0,at=-1/0;R.pos>3}if(j--,D===1||D===2)(te+=R.readSVarint())De&&(De=te),(ue+=R.readSVarint())at&&(at=ue);else if(D!==7)throw new Error(\"unknown command \"+D)}return[ve,Ze,De,at]},Ri.prototype.toGeoJSON=function(R,S,D){var j,te,ue=this.extent*Math.pow(2,D),ve=this.extent*R,De=this.extent*S,Ze=this.loadGeometry(),at=Ri.types[this.type];function Tt(sr){for(var Tr=0;Tr>3;te=ve===1?j.readString():ve===2?j.readFloat():ve===3?j.readDouble():ve===4?j.readVarint64():ve===5?j.readVarint():ve===6?j.readSVarint():ve===7?j.readBoolean():null}return te}(D))}bn.prototype.feature=function(R){if(R<0||R>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[R];var S=this._pbf.readVarint()+this._pbf.pos;return new qn(this._pbf,S,this.extent,this._keys,this._values)};var Gn=rn;function da(R,S,D){if(R===3){var j=new Gn(D,D.readVarint()+D.pos);j.length&&(S[j.name]=j)}}ei.VectorTile=function(R,S){this.layers=R.readFields(da,{},S)},ei.VectorTileFeature=tn,ei.VectorTileLayer=rn;let No=ei.VectorTileFeature.types,Do=Math.pow(2,13);function ps(R,S,D,j,te,ue,ve,De){R.emplaceBack(S,D,2*Math.floor(j*Do)+ve,te*Do*2,ue*Do*2,Math.round(De))}class fo{constructor(S){this.zoom=S.zoom,this.overscaling=S.overscaling,this.layers=S.layers,this.layerIds=this.layers.map(D=>D.id),this.index=S.index,this.hasPattern=!1,this.layoutVertexArray=new Vl,this.centroidVertexArray=new yo,this.indexArray=new oe,this.programConfigurations=new _s(S.layers,S.zoom),this.segments=new We,this.stateDependentLayerIds=this.layers.filter(D=>D.isStateDependent()).map(D=>D.id)}populate(S,D,j){this.features=[],this.hasPattern=Wt(\"fill-extrusion\",this.layers,D);for(let{feature:te,id:ue,index:ve,sourceLayerIndex:De}of S){let Ze=this.layers[0]._featureFilter.needGeometry,at=xl(te,Ze);if(!this.layers[0]._featureFilter.filter(new Ko(this.zoom),at,j))continue;let Tt={id:ue,sourceLayerIndex:De,index:ve,geometry:Ze?at.geometry:js(te),properties:te.properties,type:te.type,patterns:{}};this.hasPattern?this.features.push(rr(\"fill-extrusion\",this.layers,Tt,this.zoom,D)):this.addFeature(Tt,Tt.geometry,ve,j,{}),D.featureIndex.insert(te,Tt.geometry,ve,De,this.index,!0)}}addFeatures(S,D,j){for(let te of this.features){let{geometry:ue}=te;this.addFeature(te,ue,te.index,D,j)}}update(S,D,j){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(S,D,this.stateDependentLayers,j)}isEmpty(){return this.layoutVertexArray.length===0&&this.centroidVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(S){this.uploaded||(this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,Gr),this.centroidVertexBuffer=S.createVertexBuffer(this.centroidVertexArray,cr.members,!0),this.indexBuffer=S.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(S),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(S,D,j,te,ue){for(let ve of Of(D,500)){let De={x:0,y:0,vertexCount:0},Ze=0;for(let Tr of ve)Ze+=Tr.length;let at=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(let Tr of ve){if(Tr.length===0||tl(Tr))continue;let Pr=0;for(let $r=0;$r=1){let Di=Tr[$r-1];if(!as(ni,Di)){at.vertexLength+4>We.MAX_VERTEX_ARRAY_LENGTH&&(at=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));let pi=ni.sub(Di)._perp()._unit(),ki=Di.dist(ni);Pr+ki>32768&&(Pr=0),ps(this.layoutVertexArray,ni.x,ni.y,pi.x,pi.y,0,0,Pr),ps(this.layoutVertexArray,ni.x,ni.y,pi.x,pi.y,0,1,Pr),De.x+=2*ni.x,De.y+=2*ni.y,De.vertexCount+=2,Pr+=ki,ps(this.layoutVertexArray,Di.x,Di.y,pi.x,pi.y,0,0,Pr),ps(this.layoutVertexArray,Di.x,Di.y,pi.x,pi.y,0,1,Pr),De.x+=2*Di.x,De.y+=2*Di.y,De.vertexCount+=2;let Zi=at.vertexLength;this.indexArray.emplaceBack(Zi,Zi+2,Zi+1),this.indexArray.emplaceBack(Zi+1,Zi+2,Zi+3),at.vertexLength+=4,at.primitiveLength+=2}}}}if(at.vertexLength+Ze>We.MAX_VERTEX_ARRAY_LENGTH&&(at=this.segments.prepareSegment(Ze,this.layoutVertexArray,this.indexArray)),No[S.type]!==\"Polygon\")continue;let Tt=[],Ft=[],Qt=at.vertexLength;for(let Tr of ve)if(Tr.length!==0){Tr!==ve[0]&&Ft.push(Tt.length/2);for(let Pr=0;Prza)||R.y===S.y&&(R.y<0||R.y>za)}function tl(R){return R.every(S=>S.x<0)||R.every(S=>S.x>za)||R.every(S=>S.y<0)||R.every(S=>S.y>za)}let zu;mi(\"FillExtrusionBucket\",fo,{omit:[\"layers\",\"features\"]});var Mv={get paint(){return zu=zu||new le({\"fill-extrusion-opacity\":new Da(ce[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new eo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Da(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Da(ce[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Jc(ce[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new eo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new eo(ce[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Da(ce[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Ev extends B{constructor(S){super(S,Mv)}createBucket(S){return new fo(S)}queryRadius(){return to(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(S,D,j,te,ue,ve,De,Ze){let at=Rn(S,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),ve.angle,De),Tt=this.paint.get(\"fill-extrusion-height\").evaluate(D,j),Ft=this.paint.get(\"fill-extrusion-base\").evaluate(D,j),Qt=function(Tr,Pr,$r,ni){let Di=[];for(let pi of Tr){let ki=[pi.x,pi.y,0,1];Za(ki,ki,Pr),Di.push(new u(ki[0]/ki[3],ki[1]/ki[3]))}return Di}(at,Ze),sr=function(Tr,Pr,$r,ni){let Di=[],pi=[],ki=ni[8]*Pr,Zi=ni[9]*Pr,ta=ni[10]*Pr,Va=ni[11]*Pr,Io=ni[8]*$r,La=ni[9]*$r,Hn=ni[10]*$r,lo=ni[11]*$r;for(let $a of Tr){let Xa=[],Tn=[];for(let bo of $a){let Ya=bo.x,Uo=bo.y,wu=ni[0]*Ya+ni[4]*Uo+ni[12],hu=ni[1]*Ya+ni[5]*Uo+ni[13],uh=ni[2]*Ya+ni[6]*Uo+ni[14],$v=ni[3]*Ya+ni[7]*Uo+ni[15],td=uh+ta,ch=$v+Va,Ud=wu+Io,Vd=hu+La,Hd=uh+Hn,rf=$v+lo,fh=new u((wu+ki)/ch,(hu+Zi)/ch);fh.z=td/ch,Xa.push(fh);let Td=new u(Ud/rf,Vd/rf);Td.z=Hd/rf,Tn.push(Td)}Di.push(Xa),pi.push(Tn)}return[Di,pi]}(te,Ft,Tt,Ze);return function(Tr,Pr,$r){let ni=1/0;Er($r,Pr)&&(ni=Yv($r,Pr[0]));for(let Di=0;DiD.id),this.index=S.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach(D=>{this.gradients[D.id]={}}),this.layoutVertexArray=new Zu,this.layoutVertexArray2=new cu,this.indexArray=new oe,this.programConfigurations=new _s(S.layers,S.zoom),this.segments=new We,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter(D=>D.isStateDependent()).map(D=>D.id)}populate(S,D,j){this.hasPattern=Wt(\"line\",this.layers,D);let te=this.layers[0].layout.get(\"line-sort-key\"),ue=!te.isConstant(),ve=[];for(let{feature:De,id:Ze,index:at,sourceLayerIndex:Tt}of S){let Ft=this.layers[0]._featureFilter.needGeometry,Qt=xl(De,Ft);if(!this.layers[0]._featureFilter.filter(new Ko(this.zoom),Qt,j))continue;let sr=ue?te.evaluate(Qt,{},j):void 0,Tr={id:Ze,properties:De.properties,type:De.type,sourceLayerIndex:Tt,index:at,geometry:Ft?Qt.geometry:js(De),patterns:{},sortKey:sr};ve.push(Tr)}ue&&ve.sort((De,Ze)=>De.sortKey-Ze.sortKey);for(let De of ve){let{geometry:Ze,index:at,sourceLayerIndex:Tt}=De;if(this.hasPattern){let Ft=rr(\"line\",this.layers,De,this.zoom,D);this.patternFeatures.push(Ft)}else this.addFeature(De,Ze,at,j,{});D.featureIndex.insert(S[at].feature,Ze,at,Tt,this.index)}}update(S,D,j){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(S,D,this.stateDependentLayers,j)}addFeatures(S,D,j){for(let te of this.patternFeatures)this.addFeature(te,te.geometry,te.index,D,j)}isEmpty(){return this.layoutVertexArray.length===0}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(S){this.uploaded||(this.layoutVertexArray2.length!==0&&(this.layoutVertexBuffer2=S.createVertexBuffer(this.layoutVertexArray2,pp)),this.layoutVertexBuffer=S.createVertexBuffer(this.layoutVertexArray,vp),this.indexBuffer=S.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(S),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(S){if(S.properties&&Object.prototype.hasOwnProperty.call(S.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(S.properties,\"mapbox_clip_end\"))return{start:+S.properties.mapbox_clip_start,end:+S.properties.mapbox_clip_end}}addFeature(S,D,j,te,ue){let ve=this.layers[0].layout,De=ve.get(\"line-join\").evaluate(S,{}),Ze=ve.get(\"line-cap\"),at=ve.get(\"line-miter-limit\"),Tt=ve.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(S);for(let Ft of D)this.addLine(Ft,S,De,Ze,at,Tt);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,S,j,ue,te)}addLine(S,D,j,te,ue,ve){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let ni=0;ni=2&&S[Ze-1].equals(S[Ze-2]);)Ze--;let at=0;for(;at0;if(Va&&ni>at){let lo=Qt.dist(sr);if(lo>2*Tt){let $a=Qt.sub(Qt.sub(sr)._mult(Tt/lo)._round());this.updateDistance(sr,$a),this.addCurrentVertex($a,Pr,0,0,Ft),sr=$a}}let La=sr&&Tr,Hn=La?j:De?\"butt\":te;if(La&&Hn===\"round\"&&(Ziue&&(Hn=\"bevel\"),Hn===\"bevel\"&&(Zi>2&&(Hn=\"flipbevel\"),Zi100)Di=$r.mult(-1);else{let lo=Zi*Pr.add($r).mag()/Pr.sub($r).mag();Di._perp()._mult(lo*(Io?-1:1))}this.addCurrentVertex(Qt,Di,0,0,Ft),this.addCurrentVertex(Qt,Di.mult(-1),0,0,Ft)}else if(Hn===\"bevel\"||Hn===\"fakeround\"){let lo=-Math.sqrt(Zi*Zi-1),$a=Io?lo:0,Xa=Io?0:lo;if(sr&&this.addCurrentVertex(Qt,Pr,$a,Xa,Ft),Hn===\"fakeround\"){let Tn=Math.round(180*ta/Math.PI/20);for(let bo=1;bo2*Tt){let $a=Qt.add(Tr.sub(Qt)._mult(Tt/lo)._round());this.updateDistance(Qt,$a),this.addCurrentVertex($a,$r,0,0,Ft),Qt=$a}}}}addCurrentVertex(S,D,j,te,ue,ve=!1){let De=D.y*te-D.x,Ze=-D.y-D.x*te;this.addHalfVertex(S,D.x+D.y*j,D.y-D.x*j,ve,!1,j,ue),this.addHalfVertex(S,De,Ze,ve,!0,-te,ue),this.distance>kv/2&&this.totalDistance===0&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(S,D,j,te,ue,ve))}addHalfVertex({x:S,y:D},j,te,ue,ve,De,Ze){let at=.5*(this.lineClips?this.scaledDistance*(kv-1):this.scaledDistance);this.layoutVertexArray.emplaceBack((S<<1)+(ue?1:0),(D<<1)+(ve?1:0),Math.round(63*j)+128,Math.round(63*te)+128,1+(De===0?0:De<0?-1:1)|(63&at)<<2,at>>6),this.lineClips&&this.layoutVertexArray2.emplaceBack((this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start),this.lineClipsArray.length);let Tt=Ze.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,Tt),Ze.primitiveLength++),ve?this.e2=Tt:this.e1=Tt}updateScaledDistance(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance}updateDistance(S,D){this.distance+=S.dist(D),this.updateScaledDistance()}}let Cv,ny;mi(\"LineBucket\",Kv,{omit:[\"layers\",\"patternFeatures\"]});var fg={get paint(){return ny=ny||new le({\"line-opacity\":new eo(ce.paint_line[\"line-opacity\"]),\"line-color\":new eo(ce.paint_line[\"line-color\"]),\"line-translate\":new Da(ce.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Da(ce.paint_line[\"line-translate-anchor\"]),\"line-width\":new eo(ce.paint_line[\"line-width\"]),\"line-gap-width\":new eo(ce.paint_line[\"line-gap-width\"]),\"line-offset\":new eo(ce.paint_line[\"line-offset\"]),\"line-blur\":new eo(ce.paint_line[\"line-blur\"]),\"line-dasharray\":new yc(ce.paint_line[\"line-dasharray\"]),\"line-pattern\":new Jc(ce.paint_line[\"line-pattern\"]),\"line-gradient\":new _c(ce.paint_line[\"line-gradient\"])})},get layout(){return Cv=Cv||new le({\"line-cap\":new Da(ce.layout_line[\"line-cap\"]),\"line-join\":new eo(ce.layout_line[\"line-join\"]),\"line-miter-limit\":new Da(ce.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Da(ce.layout_line[\"line-round-limit\"]),\"line-sort-key\":new eo(ce.layout_line[\"line-sort-key\"])})}};class Hf extends eo{possiblyEvaluate(S,D){return D=new Ko(Math.floor(D.zoom),{now:D.now,fadeDuration:D.fadeDuration,zoomHistory:D.zoomHistory,transition:D.transition}),super.possiblyEvaluate(S,D)}evaluate(S,D,j,te){return D=L({},D,{zoom:Math.floor(D.zoom)}),super.evaluate(S,D,j,te)}}let hg;class ay extends B{constructor(S){super(S,fg),this.gradientVersion=0,hg||(hg=new Hf(fg.paint.properties[\"line-width\"].specification),hg.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(S){if(S===\"line-gradient\"){let D=this.gradientExpression();this.stepInterpolant=!!function(j){return j._styleExpression!==void 0}(D)&&D._styleExpression.expression instanceof Ji,this.gradientVersion=(this.gradientVersion+1)%Number.MAX_SAFE_INTEGER}}gradientExpression(){return this._transitionablePaint._values[\"line-gradient\"].value.expression}recalculate(S,D){super.recalculate(S,D),this.paint._values[\"line-floorwidth\"]=hg.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,S)}createBucket(S){return new Kv(S)}queryRadius(S){let D=S,j=Rh(yn(\"line-width\",this,D),yn(\"line-gap-width\",this,D)),te=yn(\"line-offset\",this,D);return j/2+Math.abs(te)+to(this.paint.get(\"line-translate\"))}queryIntersectsFeature(S,D,j,te,ue,ve,De){let Ze=Rn(S,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),ve.angle,De),at=De/2*Rh(this.paint.get(\"line-width\").evaluate(D,j),this.paint.get(\"line-gap-width\").evaluate(D,j)),Tt=this.paint.get(\"line-offset\").evaluate(D,j);return Tt&&(te=function(Ft,Qt){let sr=[];for(let Tr=0;Tr=3){for(let $r=0;$r0?S+2*R:R}let rm=qe([{name:\"a_pos_offset\",components:4,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint16\"},{name:\"a_pixeloffset\",components:4,type:\"Int16\"}],4),w1=qe([{name:\"a_projected_pos\",components:3,type:\"Float32\"}],4);qe([{name:\"a_fade_opacity\",components:1,type:\"Uint32\"}],4);let T1=qe([{name:\"a_placed\",components:2,type:\"Uint8\"},{name:\"a_shift\",components:2,type:\"Float32\"},{name:\"a_box_real\",components:2,type:\"Int16\"}]);qe([{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]);let oy=qe([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4),im=qe([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);function nm(R,S,D){return R.sections.forEach(j=>{j.text=function(te,ue,ve){let De=ue.layout.get(\"text-transform\").evaluate(ve,{});return 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Rv.positionedGlyphs)qc.x+=qu,qc.y+=Tu})(Zi.positionedLines,$v,Vd,Hd,hu,uh,Hn,Ud,La.length),Zi.top+=-Hd*Ud,Zi.bottom=Zi.top+Ud,Zi.left+=-Vd*hu,Zi.right=Zi.left+hu}(ki,S,D,j,$r,ve,De,Ze,Ft,at,Qt,Tr),!function(Zi){for(let ta of Zi)if(ta.positionedGlyphs.length!==0)return!1;return!0}(pi)&&ki}let Lw={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},O9={10:!0,32:!0,38:!0,41:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0,8231:!0},B9={40:!0};function fC(R,S,D,j,te,ue){if(S.imageName){let ve=j[S.imageName];return ve?ve.displaySize[0]*S.scale*kl/ue+te:0}{let ve=D[S.fontStack],De=ve&&ve[R];return De?De.metrics.advance*S.scale+te:0}}function hC(R,S,D,j){let te=Math.pow(R-S,2);return j?R=0,at=0;for(let Ft=0;Ftat){let Tt=Math.ceil(ue/at);te*=Tt/ve,ve=Tt}return{x1:j,y1:te,x2:j+ue,y2:te+ve}}function pC(R,S,D,j,te,ue){let ve=R.image,De;if(ve.content){let $r=ve.content,ni=ve.pixelRatio||1;De=[$r[0]/ni,$r[1]/ni,ve.displaySize[0]-$r[2]/ni,ve.displaySize[1]-$r[3]/ni]}let Ze=S.left*ue,at=S.right*ue,Tt,Ft,Qt,sr;D===\"width\"||D===\"both\"?(sr=te[0]+Ze-j[3],Ft=te[0]+at+j[1]):(sr=te[0]+(Ze+at-ve.displaySize[0])/2,Ft=sr+ve.displaySize[0]);let Tr=S.top*ue,Pr=S.bottom*ue;return D===\"height\"||D===\"both\"?(Tt=te[1]+Tr-j[0],Qt=te[1]+Pr+j[2]):(Tt=te[1]+(Tr+Pr-ve.displaySize[1])/2,Qt=Tt+ve.displaySize[1]),{image:ve,top:Tt,right:Ft,bottom:Qt,left:sr,collisionPadding:De}}let jx=255,v0=128,lm=jx*v0;function gC(R,S){let{expression:D}=S;if(D.kind===\"constant\")return{kind:\"constant\",layoutSize:D.evaluate(new Ko(R+1))};if(D.kind===\"source\")return{kind:\"source\"};{let{zoomStops:j,interpolationType:te}=D,ue=0;for(;ueve.id),this.index=S.index,this.pixelRatio=S.pixelRatio,this.sourceLayerIndex=S.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Un([]),this.placementViewportMatrix=Un([]);let D=this.layers[0]._unevaluatedLayout._values;this.textSizeData=gC(this.zoom,D[\"text-size\"]),this.iconSizeData=gC(this.zoom,D[\"icon-size\"]);let j=this.layers[0].layout,te=j.get(\"symbol-sort-key\"),ue=j.get(\"symbol-z-order\");this.canOverlap=nS(j,\"text-overlap\",\"text-allow-overlap\")!==\"never\"||nS(j,\"icon-overlap\",\"icon-allow-overlap\")!==\"never\"||j.get(\"text-ignore-placement\")||j.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=ue!==\"viewport-y\"&&!te.isConstant(),this.sortFeaturesByY=(ue===\"viewport-y\"||ue===\"auto\"&&!this.sortFeaturesByKey)&&this.canOverlap,j.get(\"symbol-placement\")===\"point\"&&(this.writingModes=j.get(\"text-writing-mode\").map(ve=>i.ah[ve])),this.stateDependentLayerIds=this.layers.filter(ve=>ve.isStateDependent()).map(ve=>ve.id),this.sourceID=S.sourceID}createArrays(){this.text=new sS(new _s(this.layers,this.zoom,S=>/^text/.test(S))),this.icon=new sS(new _s(this.layers,this.zoom,S=>/^icon/.test(S))),this.glyphOffsetArray=new To,this.lineVertexArray=new Wa,this.symbolInstances=new Ga,this.textAnchorOffsets=new Ro}calculateGlyphDependencies(S,D,j,te,ue){for(let ve=0;ve0)&&(ve.value.kind!==\"constant\"||ve.value.value.length>0),Tt=Ze.value.kind!==\"constant\"||!!Ze.value.value||Object.keys(Ze.parameters).length>0,Ft=ue.get(\"symbol-sort-key\");if(this.features=[],!at&&!Tt)return;let Qt=D.iconDependencies,sr=D.glyphDependencies,Tr=D.availableImages,Pr=new Ko(this.zoom);for(let{feature:$r,id:ni,index:Di,sourceLayerIndex:pi}of S){let ki=te._featureFilter.needGeometry,Zi=xl($r,ki);if(!te._featureFilter.filter(Pr,Zi,j))continue;let ta,Va;if(ki||(Zi.geometry=js($r)),at){let La=te.getValueAndResolveTokens(\"text-field\",Zi,j,Tr),Hn=Zr.factory(La),lo=this.hasRTLText=this.hasRTLText||oS(Hn);(!lo||vs.getRTLTextPluginStatus()===\"unavailable\"||lo&&vs.isParsed())&&(ta=nm(Hn,te,Zi))}if(Tt){let La=te.getValueAndResolveTokens(\"icon-image\",Zi,j,Tr);Va=La instanceof Mi?La:Mi.fromString(La)}if(!ta&&!Va)continue;let Io=this.sortFeaturesByKey?Ft.evaluate(Zi,{},j):void 0;if(this.features.push({id:ni,text:ta,icon:Va,index:Di,sourceLayerIndex:pi,geometry:Zi.geometry,properties:$r.properties,type:U9[$r.type],sortKey:Io}),Va&&(Qt[Va.name]=!0),ta){let La=ve.evaluate(Zi,{},j).join(\",\"),Hn=ue.get(\"text-rotation-alignment\")!==\"viewport\"&&ue.get(\"symbol-placement\")!==\"point\";this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(i.ah.vertical)>=0;for(let lo of ta.sections)if(lo.image)Qt[lo.image.name]=!0;else{let $a=Ua(ta.toString()),Xa=lo.fontStack||La,Tn=sr[Xa]=sr[Xa]||{};this.calculateGlyphDependencies(lo.text,Tn,Hn,this.allowVerticalPlacement,$a)}}}ue.get(\"symbol-placement\")===\"line\"&&(this.features=function($r){let ni={},Di={},pi=[],ki=0;function Zi(La){pi.push($r[La]),ki++}function ta(La,Hn,lo){let $a=Di[La];return delete Di[La],Di[Hn]=$a,pi[$a].geometry[0].pop(),pi[$a].geometry[0]=pi[$a].geometry[0].concat(lo[0]),$a}function Va(La,Hn,lo){let $a=ni[Hn];return delete ni[Hn],ni[La]=$a,pi[$a].geometry[0].shift(),pi[$a].geometry[0]=lo[0].concat(pi[$a].geometry[0]),$a}function Io(La,Hn,lo){let $a=lo?Hn[0][Hn[0].length-1]:Hn[0][0];return`${La}:${$a.x}:${$a.y}`}for(let La=0;La<$r.length;La++){let Hn=$r[La],lo=Hn.geometry,$a=Hn.text?Hn.text.toString():null;if(!$a){Zi(La);continue}let Xa=Io($a,lo),Tn=Io($a,lo,!0);if(Xa in Di&&Tn in ni&&Di[Xa]!==ni[Tn]){let bo=Va(Xa,Tn,lo),Ya=ta(Xa,Tn,pi[bo].geometry);delete ni[Xa],delete Di[Tn],Di[Io($a,pi[Ya].geometry,!0)]=Ya,pi[bo].geometry=null}else Xa in Di?ta(Xa,Tn,lo):Tn in ni?Va(Xa,Tn,lo):(Zi(La),ni[Xa]=ki-1,Di[Tn]=ki-1)}return pi.filter(La=>La.geometry)}(this.features)),this.sortFeaturesByKey&&this.features.sort(($r,ni)=>$r.sortKey-ni.sortKey)}update(S,D,j){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(S,D,this.layers,j),this.icon.programConfigurations.updatePaintArrays(S,D,this.layers,j))}isEmpty(){return this.symbolInstances.length===0&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(S){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(S),this.iconCollisionBox.upload(S)),this.text.upload(S,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(S,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(S,D){let j=this.lineVertexArray.length;if(S.segment!==void 0){let te=S.dist(D[S.segment+1]),ue=S.dist(D[S.segment]),ve={};for(let De=S.segment+1;De=0;De--)ve[De]={x:D[De].x,y:D[De].y,tileUnitDistanceFromAnchor:ue},De>0&&(ue+=D[De-1].dist(D[De]));for(let De=0;De0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(S,D){let j=S.placedSymbolArray.get(D),te=j.vertexStartIndex+4*j.numGlyphs;for(let ue=j.vertexStartIndex;uete[De]-te[Ze]||ue[Ze]-ue[De]),ve}addToSortKeyRanges(S,D){let j=this.sortKeyRanges[this.sortKeyRanges.length-1];j&&j.sortKey===D?j.symbolInstanceEnd=S+1:this.sortKeyRanges.push({sortKey:D,symbolInstanceStart:S,symbolInstanceEnd:S+1})}sortFeatures(S){if(this.sortFeaturesByY&&this.sortedAngle!==S&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(S),this.sortedAngle=S,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(let D of this.symbolInstanceIndexes){let j=this.symbolInstances.get(D);this.featureSortOrder.push(j.featureIndex),[j.rightJustifiedTextSymbolIndex,j.centerJustifiedTextSymbolIndex,j.leftJustifiedTextSymbolIndex].forEach((te,ue,ve)=>{te>=0&&ve.indexOf(te)===ue&&this.addIndicesForPlacedSymbol(this.text,te)}),j.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,j.verticalPlacedTextSymbolIndex),j.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,j.placedIconSymbolIndex),j.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,j.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let tf,Wx;mi(\"SymbolBucket\",E1,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),E1.MAX_GLYPHS=65535,E1.addDynamicAttributes=aS;var Dw={get paint(){return Wx=Wx||new le({\"icon-opacity\":new eo(ce.paint_symbol[\"icon-opacity\"]),\"icon-color\":new eo(ce.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new eo(ce.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new eo(ce.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new eo(ce.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Da(ce.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Da(ce.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new eo(ce.paint_symbol[\"text-opacity\"]),\"text-color\":new eo(ce.paint_symbol[\"text-color\"],{runtimeType:Ht,getOverride:R=>R.textColor,hasOverride:R=>!!R.textColor}),\"text-halo-color\":new eo(ce.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new eo(ce.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new eo(ce.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Da(ce.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Da(ce.paint_symbol[\"text-translate-anchor\"])})},get layout(){return tf=tf||new le({\"symbol-placement\":new Da(ce.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Da(ce.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Da(ce.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new eo(ce.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Da(ce.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Da(ce.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Da(ce.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Da(ce.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Da(ce.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Da(ce.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new eo(ce.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Da(ce.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Da(ce.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new eo(ce.layout_symbol[\"icon-image\"]),\"icon-rotate\":new eo(ce.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new eo(ce.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Da(ce.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new eo(ce.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new eo(ce.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Da(ce.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Da(ce.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Da(ce.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new eo(ce.layout_symbol[\"text-field\"]),\"text-font\":new eo(ce.layout_symbol[\"text-font\"]),\"text-size\":new eo(ce.layout_symbol[\"text-size\"]),\"text-max-width\":new eo(ce.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Da(ce.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new eo(ce.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new eo(ce.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new eo(ce.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Da(ce.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new eo(ce.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new eo(ce.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Da(ce.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Da(ce.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new eo(ce.layout_symbol[\"text-rotate\"]),\"text-padding\":new Da(ce.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Da(ce.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new eo(ce.layout_symbol[\"text-transform\"]),\"text-offset\":new eo(ce.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Da(ce.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Da(ce.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Da(ce.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Da(ce.layout_symbol[\"text-optional\"])})}};class Zx{constructor(S){if(S.property.overrides===void 0)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=S.property.overrides?S.property.overrides.runtimeType:Lt,this.defaultValue=S}evaluate(S){if(S.formattedSection){let D=this.defaultValue.property.overrides;if(D&&D.hasOverride(S.formattedSection))return D.getOverride(S.formattedSection)}return S.feature&&S.featureState?this.defaultValue.evaluate(S.feature,S.featureState):this.defaultValue.property.specification.default}eachChild(S){this.defaultValue.isConstant()||S(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}mi(\"FormatSectionOverride\",Zx,{omit:[\"defaultValue\"]});class uy extends B{constructor(S){super(S,Dw)}recalculate(S,D){if(super.recalculate(S,D),this.layout.get(\"icon-rotation-alignment\")===\"auto\"&&(this.layout._values[\"icon-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-rotation-alignment\")===\"auto\"&&(this.layout._values[\"text-rotation-alignment\"]=this.layout.get(\"symbol-placement\")!==\"point\"?\"map\":\"viewport\"),this.layout.get(\"text-pitch-alignment\")===\"auto\"&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")===\"map\"?\"map\":\"viewport\"),this.layout.get(\"icon-pitch-alignment\")===\"auto\"&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),this.layout.get(\"symbol-placement\")===\"point\"){let j=this.layout.get(\"text-writing-mode\");if(j){let te=[];for(let ue of j)te.indexOf(ue)<0&&te.push(ue);this.layout._values[\"text-writing-mode\"]=te}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(S,D,j,te){let ue=this.layout.get(S).evaluate(D,{},j,te),ve=this._unevaluatedLayout._values[S];return ve.isDataDriven()||Lc(ve.value)||!ue?ue:function(De,Ze){return Ze.replace(/{([^{}]+)}/g,(at,Tt)=>De&&Tt in De?String(De[Tt]):\"\")}(D.properties,ue)}createBucket(S){return new E1(S)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(let S of Dw.paint.overridableProperties){if(!uy.hasPaintOverride(this.layout,S))continue;let D=this.paint.get(S),j=new Zx(D),te=new Pu(j,D.property.specification),ue=null;ue=D.value.kind===\"constant\"||D.value.kind===\"source\"?new Xc(\"source\",te):new ic(\"composite\",te,D.value.zoomStops),this.paint._values[S]=new Du(D.property,ue,D.parameters)}}_handleOverridablePaintPropertyUpdate(S,D,j){return!(!this.layout||D.isDataDriven()||j.isDataDriven())&&uy.hasPaintOverride(this.layout,S)}static hasPaintOverride(S,D){let j=S.get(\"text-field\"),te=Dw.paint.properties[D],ue=!1,ve=De=>{for(let Ze of De)if(te.overrides&&te.overrides.hasOverride(Ze))return void(ue=!0)};if(j.value.kind===\"constant\"&&j.value.value instanceof Zr)ve(j.value.value.sections);else if(j.value.kind===\"source\"){let De=at=>{ue||(at instanceof jn&&Ki(at.value)===Br?ve(at.value.sections):at instanceof $l?ve(at.sections):at.eachChild(De))},Ze=j.value;Ze._styleExpression&&De(Ze._styleExpression.expression)}return ue}}let mC;var Xx={get paint(){return mC=mC||new le({\"background-color\":new Da(ce.paint_background[\"background-color\"]),\"background-pattern\":new yc(ce.paint_background[\"background-pattern\"]),\"background-opacity\":new Da(ce.paint_background[\"background-opacity\"])})}};class H9 extends B{constructor(S){super(S,Xx)}}let lS;var yC={get paint(){return lS=lS||new le({\"raster-opacity\":new Da(ce.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Da(ce.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Da(ce.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Da(ce.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Da(ce.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Da(ce.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Da(ce.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Da(ce.paint_raster[\"raster-fade-duration\"])})}};class Yx extends B{constructor(S){super(S,yC)}}class uS extends B{constructor(S){super(S,{}),this.onAdd=D=>{this.implementation.onAdd&&this.implementation.onAdd(D,D.painter.context.gl)},this.onRemove=D=>{this.implementation.onRemove&&this.implementation.onRemove(D,D.painter.context.gl)},this.implementation=S}is3D(){return this.implementation.renderingMode===\"3d\"}hasOffscreenPass(){return this.implementation.prerender!==void 0}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class cS{constructor(S){this._methodToThrottle=S,this._triggered=!1,typeof MessageChannel!=\"undefined\"&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(()=>{this._triggered=!1,this._methodToThrottle()},0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}let fS=63710088e-1;class dg{constructor(S,D){if(isNaN(S)||isNaN(D))throw new Error(`Invalid LngLat object: (${S}, ${D})`);if(this.lng=+S,this.lat=+D,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new dg(A(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(S){let D=Math.PI/180,j=this.lat*D,te=S.lat*D,ue=Math.sin(j)*Math.sin(te)+Math.cos(j)*Math.cos(te)*Math.cos((S.lng-this.lng)*D);return fS*Math.acos(Math.min(ue,1))}static convert(S){if(S instanceof dg)return S;if(Array.isArray(S)&&(S.length===2||S.length===3))return new dg(Number(S[0]),Number(S[1]));if(!Array.isArray(S)&&typeof S==\"object\"&&S!==null)return new dg(Number(\"lng\"in S?S.lng:S.lon),Number(S.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]\")}}let k1=2*Math.PI*fS;function _C(R){return k1*Math.cos(R*Math.PI/180)}function zw(R){return(180+R)/360}function xC(R){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+R*Math.PI/360)))/360}function Fw(R,S){return R/_C(S)}function Kx(R){return 360/Math.PI*Math.atan(Math.exp((180-360*R)*Math.PI/180))-90}class Jx{constructor(S,D,j=0){this.x=+S,this.y=+D,this.z=+j}static fromLngLat(S,D=0){let j=dg.convert(S);return new Jx(zw(j.lng),xC(j.lat),Fw(D,j.lat))}toLngLat(){return new dg(360*this.x-180,Kx(this.y))}toAltitude(){return this.z*_C(Kx(this.y))}meterInMercatorCoordinateUnits(){return 1/k1*(S=Kx(this.y),1/Math.cos(S*Math.PI/180));var S}}function gp(R,S,D){var j=2*Math.PI*6378137/256/Math.pow(2,D);return[R*j-2*Math.PI*6378137/2,S*j-2*Math.PI*6378137/2]}class hS{constructor(S,D,j){if(!function(te,ue,ve){return!(te<0||te>25||ve<0||ve>=Math.pow(2,te)||ue<0||ue>=Math.pow(2,te))}(S,D,j))throw new Error(`x=${D}, y=${j}, z=${S} outside of bounds. 0<=x<${Math.pow(2,S)}, 0<=y<${Math.pow(2,S)} 0<=z<=25 `);this.z=S,this.x=D,this.y=j,this.key=$x(0,S,S,D,j)}equals(S){return this.z===S.z&&this.x===S.x&&this.y===S.y}url(S,D,j){let te=(ve=this.y,De=this.z,Ze=gp(256*(ue=this.x),256*(ve=Math.pow(2,De)-ve-1),De),at=gp(256*(ue+1),256*(ve+1),De),Ze[0]+\",\"+Ze[1]+\",\"+at[0]+\",\"+at[1]);var ue,ve,De,Ze,at;let Tt=function(Ft,Qt,sr){let Tr,Pr=\"\";for(let $r=Ft;$r>0;$r--)Tr=1<<$r-1,Pr+=(Qt&Tr?1:0)+(sr&Tr?2:0);return Pr}(this.z,this.x,this.y);return S[(this.x+this.y)%S.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(j===\"tms\"?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,D>1?\"@2x\":\"\").replace(/{quadkey}/g,Tt).replace(/{bbox-epsg-3857}/g,te)}isChildOf(S){let D=this.z-S.z;return D>0&&S.x===this.x>>D&&S.y===this.y>>D}getTilePoint(S){let D=Math.pow(2,this.z);return new u((S.x*D-this.x)*za,(S.y*D-this.y)*za)}toString(){return`${this.z}/${this.x}/${this.y}`}}class bC{constructor(S,D){this.wrap=S,this.canonical=D,this.key=$x(S,D.z,D.z,D.x,D.y)}}class Jv{constructor(S,D,j,te,ue){if(S= z; overscaledZ = ${S}; z = ${j}`);this.overscaledZ=S,this.wrap=D,this.canonical=new hS(j,+te,+ue),this.key=$x(D,S,j,te,ue)}clone(){return new Jv(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(S){return this.overscaledZ===S.overscaledZ&&this.wrap===S.wrap&&this.canonical.equals(S.canonical)}scaledTo(S){if(S>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${S}; overscaledZ = ${this.overscaledZ}`);let D=this.canonical.z-S;return S>this.canonical.z?new Jv(S,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Jv(S,this.wrap,S,this.canonical.x>>D,this.canonical.y>>D)}calculateScaledKey(S,D){if(S>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${S}; overscaledZ = ${this.overscaledZ}`);let j=this.canonical.z-S;return S>this.canonical.z?$x(this.wrap*+D,S,this.canonical.z,this.canonical.x,this.canonical.y):$x(this.wrap*+D,S,S,this.canonical.x>>j,this.canonical.y>>j)}isChildOf(S){if(S.wrap!==this.wrap)return!1;let D=this.canonical.z-S.canonical.z;return S.overscaledZ===0||S.overscaledZ>D&&S.canonical.y===this.canonical.y>>D}children(S){if(this.overscaledZ>=S)return[new Jv(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];let D=this.canonical.z+1,j=2*this.canonical.x,te=2*this.canonical.y;return[new Jv(D,this.wrap,D,j,te),new Jv(D,this.wrap,D,j+1,te),new Jv(D,this.wrap,D,j,te+1),new Jv(D,this.wrap,D,j+1,te+1)]}isLessThan(S){return this.wrapS.wrap)&&(this.overscaledZS.overscaledZ)&&(this.canonical.xS.canonical.x)&&this.canonical.ythis.max&&(this.max=Ft),Ft=this.dim+1||D<-1||D>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(D+1)*this.stride+(S+1)}unpack(S,D,j){return S*this.redFactor+D*this.greenFactor+j*this.blueFactor-this.baseShift}getPixels(){return new Jn({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(S,D,j){if(this.dim!==S.dim)throw new Error(\"dem dimension mismatch\");let te=D*this.dim,ue=D*this.dim+this.dim,ve=j*this.dim,De=j*this.dim+this.dim;switch(D){case-1:te=ue-1;break;case 1:ue=te+1}switch(j){case-1:ve=De-1;break;case 1:De=ve+1}let Ze=-D*this.dim,at=-j*this.dim;for(let Tt=ve;Tt=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${S} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[S]}}class dS{constructor(S,D,j,te,ue){this.type=\"Feature\",this._vectorTileFeature=S,S._z=D,S._x=j,S._y=te,this.properties=S.properties,this.id=ue}get geometry(){return this._geometry===void 0&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(S){this._geometry=S}toJSON(){let S={geometry:this.geometry};for(let D in this)D!==\"_geometry\"&&D!==\"_vectorTileFeature\"&&(S[D]=this[D]);return S}}class cy{constructor(S,D){this.tileID=S,this.x=S.canonical.x,this.y=S.canonical.y,this.z=S.canonical.z,this.grid=new qi(za,16,0),this.grid3D=new qi(za,16,0),this.featureIndexArray=new As,this.promoteId=D}insert(S,D,j,te,ue,ve){let De=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(j,te,ue);let Ze=ve?this.grid3D:this.grid;for(let at=0;at=0&&Ft[3]>=0&&Ze.insert(De,Ft[0],Ft[1],Ft[2],Ft[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new ei.VectorTile(new tS(this.rawTileData)).layers,this.sourceLayerCoder=new TC(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(S,D,j,te){this.loadVTLayers();let ue=S.params||{},ve=za/S.tileSize/S.scale,De=Pc(ue.filter),Ze=S.queryGeometry,at=S.queryPadding*ve,Tt=SC(Ze),Ft=this.grid.query(Tt.minX-at,Tt.minY-at,Tt.maxX+at,Tt.maxY+at),Qt=SC(S.cameraQueryGeometry),sr=this.grid3D.query(Qt.minX-at,Qt.minY-at,Qt.maxX+at,Qt.maxY+at,($r,ni,Di,pi)=>function(ki,Zi,ta,Va,Io){for(let Hn of ki)if(Zi<=Hn.x&&ta<=Hn.y&&Va>=Hn.x&&Io>=Hn.y)return!0;let La=[new u(Zi,ta),new u(Zi,Io),new u(Va,Io),new u(Va,ta)];if(ki.length>2){for(let Hn of La)if(On(ki,Hn))return!0}for(let Hn=0;Hn(pi||(pi=js(ki)),Zi.queryIntersectsFeature(Ze,ki,ta,pi,this.z,S.transform,ve,S.pixelPosMatrix)))}return Tr}loadMatchingFeature(S,D,j,te,ue,ve,De,Ze,at,Tt,Ft){let Qt=this.bucketLayerIDs[D];if(ve&&!function($r,ni){for(let Di=0;Di<$r.length;Di++)if(ni.indexOf($r[Di])>=0)return!0;return!1}(ve,Qt))return;let sr=this.sourceLayerCoder.decode(j),Tr=this.vtLayers[sr].feature(te);if(ue.needGeometry){let $r=xl(Tr,!0);if(!ue.filter(new Ko(this.tileID.overscaledZ),$r,this.tileID.canonical))return}else if(!ue.filter(new Ko(this.tileID.overscaledZ),Tr))return;let Pr=this.getId(Tr,sr);for(let $r=0;$r{let De=S instanceof Dc?S.get(ve):null;return De&&De.evaluate?De.evaluate(D,j,te):De})}function SC(R){let S=1/0,D=1/0,j=-1/0,te=-1/0;for(let ue of R)S=Math.min(S,ue.x),D=Math.min(D,ue.y),j=Math.max(j,ue.x),te=Math.max(te,ue.y);return{minX:S,minY:D,maxX:j,maxY:te}}function G9(R,S){return S-R}function MC(R,S,D,j,te){let ue=[];for(let ve=0;ve=j&&Ft.x>=j||(Tt.x>=j?Tt=new u(j,Tt.y+(j-Tt.x)/(Ft.x-Tt.x)*(Ft.y-Tt.y))._round():Ft.x>=j&&(Ft=new u(j,Tt.y+(j-Tt.x)/(Ft.x-Tt.x)*(Ft.y-Tt.y))._round()),Tt.y>=te&&Ft.y>=te||(Tt.y>=te?Tt=new u(Tt.x+(te-Tt.y)/(Ft.y-Tt.y)*(Ft.x-Tt.x),te)._round():Ft.y>=te&&(Ft=new u(Tt.x+(te-Tt.y)/(Ft.y-Tt.y)*(Ft.x-Tt.x),te)._round()),Ze&&Tt.equals(Ze[Ze.length-1])||(Ze=[Tt],ue.push(Ze)),Ze.push(Ft)))))}}return ue}mi(\"FeatureIndex\",cy,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class vg extends u{constructor(S,D,j,te){super(S,D),this.angle=j,te!==void 0&&(this.segment=te)}clone(){return new vg(this.x,this.y,this.angle,this.segment)}}function vS(R,S,D,j,te){if(S.segment===void 0||D===0)return!0;let ue=S,ve=S.segment+1,De=0;for(;De>-D/2;){if(ve--,ve<0)return!1;De-=R[ve].dist(ue),ue=R[ve]}De+=R[ve].dist(R[ve+1]),ve++;let Ze=[],at=0;for(;Dej;)at-=Ze.shift().angleDelta;if(at>te)return!1;ve++,De+=Tt.dist(Ft)}return!0}function EC(R){let S=0;for(let D=0;Dat){let Tr=(at-Ze)/sr,Pr=Mo.number(Ft.x,Qt.x,Tr),$r=Mo.number(Ft.y,Qt.y,Tr),ni=new vg(Pr,$r,Qt.angleTo(Ft),Tt);return ni._round(),!ve||vS(R,ni,De,ve,S)?ni:void 0}Ze+=sr}}function W9(R,S,D,j,te,ue,ve,De,Ze){let at=kC(j,ue,ve),Tt=CC(j,te),Ft=Tt*ve,Qt=R[0].x===0||R[0].x===Ze||R[0].y===0||R[0].y===Ze;return S-Ft=0&&ki=0&&Zi=0&&Qt+at<=Tt){let ta=new vg(ki,Zi,Di,Tr);ta._round(),j&&!vS(R,ta,ue,j,te)||sr.push(ta)}}Ft+=ni}return De||sr.length||ve||(sr=LC(R,Ft/2,D,j,te,ue,ve,!0,Ze)),sr}mi(\"Anchor\",vg);let C1=wd;function PC(R,S,D,j){let te=[],ue=R.image,ve=ue.pixelRatio,De=ue.paddedRect.w-2*C1,Ze=ue.paddedRect.h-2*C1,at={x1:R.left,y1:R.top,x2:R.right,y2:R.bottom},Tt=ue.stretchX||[[0,De]],Ft=ue.stretchY||[[0,Ze]],Qt=(Tn,bo)=>Tn+bo[1]-bo[0],sr=Tt.reduce(Qt,0),Tr=Ft.reduce(Qt,0),Pr=De-sr,$r=Ze-Tr,ni=0,Di=sr,pi=0,ki=Tr,Zi=0,ta=Pr,Va=0,Io=$r;if(ue.content&&j){let Tn=ue.content,bo=Tn[2]-Tn[0],Ya=Tn[3]-Tn[1];(ue.textFitWidth||ue.textFitHeight)&&(at=vC(R)),ni=pg(Tt,0,Tn[0]),pi=pg(Ft,0,Tn[1]),Di=pg(Tt,Tn[0],Tn[2]),ki=pg(Ft,Tn[1],Tn[3]),Zi=Tn[0]-ni,Va=Tn[1]-pi,ta=bo-Di,Io=Ya-ki}let La=at.x1,Hn=at.y1,lo=at.x2-La,$a=at.y2-Hn,Xa=(Tn,bo,Ya,Uo)=>{let wu=qw(Tn.stretch-ni,Di,lo,La),hu=L1(Tn.fixed-Zi,ta,Tn.stretch,sr),uh=qw(bo.stretch-pi,ki,$a,Hn),$v=L1(bo.fixed-Va,Io,bo.stretch,Tr),td=qw(Ya.stretch-ni,Di,lo,La),ch=L1(Ya.fixed-Zi,ta,Ya.stretch,sr),Ud=qw(Uo.stretch-pi,ki,$a,Hn),Vd=L1(Uo.fixed-Va,Io,Uo.stretch,Tr),Hd=new u(wu,uh),rf=new u(td,uh),fh=new u(td,Ud),Td=new u(wu,Ud),rd=new u(hu/ve,$v/ve),Dh=new u(ch/ve,Vd/ve),xf=S*Math.PI/180;if(xf){let Cl=Math.sin(xf),qu=Math.cos(xf),Tu=[qu,-Cl,Cl,qu];Hd._matMult(Tu),rf._matMult(Tu),Td._matMult(Tu),fh._matMult(Tu)}let Iv=Tn.stretch+Tn.fixed,lv=bo.stretch+bo.fixed;return{tl:Hd,tr:rf,bl:Td,br:fh,tex:{x:ue.paddedRect.x+C1+Iv,y:ue.paddedRect.y+C1+lv,w:Ya.stretch+Ya.fixed-Iv,h:Uo.stretch+Uo.fixed-lv},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:rd,pixelOffsetBR:Dh,minFontScaleX:ta/ve/lo,minFontScaleY:Io/ve/$a,isSDF:D}};if(j&&(ue.stretchX||ue.stretchY)){let Tn=IC(Tt,Pr,sr),bo=IC(Ft,$r,Tr);for(let Ya=0;Ya0&&(Pr=Math.max(10,Pr),this.circleDiameter=Pr)}else{let Qt=!((Ft=ve.image)===null||Ft===void 0)&&Ft.content&&(ve.image.textFitWidth||ve.image.textFitHeight)?vC(ve):{x1:ve.left,y1:ve.top,x2:ve.right,y2:ve.bottom};Qt.y1=Qt.y1*De-Ze[0],Qt.y2=Qt.y2*De+Ze[2],Qt.x1=Qt.x1*De-Ze[3],Qt.x2=Qt.x2*De+Ze[1];let sr=ve.collisionPadding;if(sr&&(Qt.x1-=sr[0]*De,Qt.y1-=sr[1]*De,Qt.x2+=sr[2]*De,Qt.y2+=sr[3]*De),Tt){let Tr=new u(Qt.x1,Qt.y1),Pr=new u(Qt.x2,Qt.y1),$r=new u(Qt.x1,Qt.y2),ni=new u(Qt.x2,Qt.y2),Di=Tt*Math.PI/180;Tr._rotate(Di),Pr._rotate(Di),$r._rotate(Di),ni._rotate(Di),Qt.x1=Math.min(Tr.x,Pr.x,$r.x,ni.x),Qt.x2=Math.max(Tr.x,Pr.x,$r.x,ni.x),Qt.y1=Math.min(Tr.y,Pr.y,$r.y,ni.y),Qt.y2=Math.max(Tr.y,Pr.y,$r.y,ni.y)}S.emplaceBack(D.x,D.y,Qt.x1,Qt.y1,Qt.x2,Qt.y2,j,te,ue)}this.boxEndIndex=S.length}}class Hp{constructor(S=[],D=(j,te)=>jte?1:0){if(this.data=S,this.length=this.data.length,this.compare=D,this.length>0)for(let j=(this.length>>1)-1;j>=0;j--)this._down(j)}push(S){this.data.push(S),this._up(this.length++)}pop(){if(this.length===0)return;let S=this.data[0],D=this.data.pop();return--this.length>0&&(this.data[0]=D,this._down(0)),S}peek(){return this.data[0]}_up(S){let{data:D,compare:j}=this,te=D[S];for(;S>0;){let ue=S-1>>1,ve=D[ue];if(j(te,ve)>=0)break;D[S]=ve,S=ue}D[S]=te}_down(S){let{data:D,compare:j}=this,te=this.length>>1,ue=D[S];for(;S=0)break;D[S]=D[ve],S=ve}D[S]=ue}}function Z9(R,S=1,D=!1){let j=1/0,te=1/0,ue=-1/0,ve=-1/0,De=R[0];for(let sr=0;srue)&&(ue=Tr.x),(!sr||Tr.y>ve)&&(ve=Tr.y)}let Ze=Math.min(ue-j,ve-te),at=Ze/2,Tt=new Hp([],X9);if(Ze===0)return new u(j,te);for(let sr=j;srFt.d||!Ft.d)&&(Ft=sr,D&&console.log(\"found best %d after %d probes\",Math.round(1e4*sr.d)/1e4,Qt)),sr.max-Ft.d<=S||(at=sr.h/2,Tt.push(new P1(sr.p.x-at,sr.p.y-at,at,R)),Tt.push(new P1(sr.p.x+at,sr.p.y-at,at,R)),Tt.push(new P1(sr.p.x-at,sr.p.y+at,at,R)),Tt.push(new P1(sr.p.x+at,sr.p.y+at,at,R)),Qt+=4)}return D&&(console.log(`num probes: ${Qt}`),console.log(`best distance: ${Ft.d}`)),Ft.p}function X9(R,S){return S.max-R.max}function 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Ye=Ne.uid;if(!this.loaded||!this.loaded[Ye])throw new Error(\"Should not be trying to reload a tile that was never loaded or has been removed\");let Ve=this.loaded[Ye];if(Ve.showCollisionBoxes=Ne.showCollisionBoxes,Ve.status===\"parsing\"){let Xe=yield Ve.parse(Ve.vectorTile,this.layerIndex,this.availableImages,this.actor),ht;if(this.fetching[Ye]){let{rawTileData:Le,cacheControl:xe,resourceTiming:Se}=this.fetching[Ye];delete this.fetching[Ye],ht=i.e({rawTileData:Le.slice(0)},Xe,xe,Se)}else ht=Xe;return ht}if(Ve.status===\"done\"&&Ve.vectorTile)return Ve.parse(Ve.vectorTile,this.layerIndex,this.availableImages,this.actor)})}abortTile(Ne){return i._(this,void 0,void 0,function*(){let Ye=this.loading,Ve=Ne.uid;Ye&&Ye[Ve]&&Ye[Ve].abort&&(Ye[Ve].abort.abort(),delete Ye[Ve])})}removeTile(Ne){return i._(this,void 0,void 0,function*(){this.loaded&&this.loaded[Ne.uid]&&delete this.loaded[Ne.uid]})}}class c{constructor(){this.loaded={}}loadTile(Ne){return i._(this,void 0,void 0,function*(){let{uid:Ye,encoding:Ve,rawImageData:Xe,redFactor:ht,greenFactor:Le,blueFactor:xe,baseShift:Se}=Ne,lt=Xe.width+2,Gt=Xe.height+2,Vt=i.b(Xe)?new i.R({width:lt,height:Gt},yield i.bw(Xe,-1,-1,lt,Gt)):Xe,ar=new i.bx(Ye,Vt,Ve,ht,Le,xe,Se);return this.loaded=this.loaded||{},this.loaded[Ye]=ar,ar})}removeTile(Ne){let Ye=this.loaded,Ve=Ne.uid;Ye&&Ye[Ve]&&delete Ye[Ve]}}function f(ut,Ne){if(ut.length!==0){h(ut[0],Ne);for(var Ye=1;Ye=Math.abs(xe)?Ye-Se+xe:xe-Se+Ye,Ye=Se}Ye+Ve>=0!=!!Ne&&ut.reverse()}var d=i.by(function ut(Ne,Ye){var Ve,Xe=Ne&&Ne.type;if(Xe===\"FeatureCollection\")for(Ve=0;Ve>31}function q(ut,Ne){for(var Ye=ut.loadGeometry(),Ve=ut.type,Xe=0,ht=0,Le=Ye.length,xe=0;xeut},G=Math.fround||(N=new Float32Array(1),ut=>(N[0]=+ut,N[0]));var N;let W=3,re=5,ae=6;class _e{constructor(Ne){this.options=Object.assign(Object.create(X),Ne),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(Ne){let{log:Ye,minZoom:Ve,maxZoom:Xe}=this.options;Ye&&console.time(\"total time\");let ht=`prepare ${Ne.length} points`;Ye&&console.time(ht),this.points=Ne;let Le=[];for(let Se=0;Se=Ve;Se--){let lt=+Date.now();xe=this.trees[Se]=this._createTree(this._cluster(xe,Se)),Ye&&console.log(\"z%d: %d clusters in %dms\",Se,xe.numItems,+Date.now()-lt)}return Ye&&console.timeEnd(\"total time\"),this}getClusters(Ne,Ye){let Ve=((Ne[0]+180)%360+360)%360-180,Xe=Math.max(-90,Math.min(90,Ne[1])),ht=Ne[2]===180?180:((Ne[2]+180)%360+360)%360-180,Le=Math.max(-90,Math.min(90,Ne[3]));if(Ne[2]-Ne[0]>=360)Ve=-180,ht=180;else if(Ve>ht){let Vt=this.getClusters([Ve,Xe,180,Le],Ye),ar=this.getClusters([-180,Xe,ht,Le],Ye);return Vt.concat(ar)}let xe=this.trees[this._limitZoom(Ye)],Se=xe.range(ge(Ve),ie(Le),ge(ht),ie(Xe)),lt=xe.data,Gt=[];for(let Vt of Se){let ar=this.stride*Vt;Gt.push(lt[ar+re]>1?Me(lt,ar,this.clusterProps):this.points[lt[ar+W]])}return Gt}getChildren(Ne){let Ye=this._getOriginId(Ne),Ve=this._getOriginZoom(Ne),Xe=\"No cluster with the specified id.\",ht=this.trees[Ve];if(!ht)throw new Error(Xe);let Le=ht.data;if(Ye*this.stride>=Le.length)throw new Error(Xe);let xe=this.options.radius/(this.options.extent*Math.pow(2,Ve-1)),Se=ht.within(Le[Ye*this.stride],Le[Ye*this.stride+1],xe),lt=[];for(let Gt of Se){let Vt=Gt*this.stride;Le[Vt+4]===Ne&<.push(Le[Vt+re]>1?Me(Le,Vt,this.clusterProps):this.points[Le[Vt+W]])}if(lt.length===0)throw new Error(Xe);return lt}getLeaves(Ne,Ye,Ve){let Xe=[];return this._appendLeaves(Xe,Ne,Ye=Ye||10,Ve=Ve||0,0),Xe}getTile(Ne,Ye,Ve){let Xe=this.trees[this._limitZoom(Ne)],ht=Math.pow(2,Ne),{extent:Le,radius:xe}=this.options,Se=xe/Le,lt=(Ve-Se)/ht,Gt=(Ve+1+Se)/ht,Vt={features:[]};return this._addTileFeatures(Xe.range((Ye-Se)/ht,lt,(Ye+1+Se)/ht,Gt),Xe.data,Ye,Ve,ht,Vt),Ye===0&&this._addTileFeatures(Xe.range(1-Se/ht,lt,1,Gt),Xe.data,ht,Ve,ht,Vt),Ye===ht-1&&this._addTileFeatures(Xe.range(0,lt,Se/ht,Gt),Xe.data,-1,Ve,ht,Vt),Vt.features.length?Vt:null}getClusterExpansionZoom(Ne){let Ye=this._getOriginZoom(Ne)-1;for(;Ye<=this.options.maxZoom;){let Ve=this.getChildren(Ne);if(Ye++,Ve.length!==1)break;Ne=Ve[0].properties.cluster_id}return Ye}_appendLeaves(Ne,Ye,Ve,Xe,ht){let Le=this.getChildren(Ye);for(let xe of Le){let Se=xe.properties;if(Se&&Se.cluster?ht+Se.point_count<=Xe?ht+=Se.point_count:ht=this._appendLeaves(Ne,Se.cluster_id,Ve,Xe,ht):ht1,Gt,Vt,ar;if(lt)Gt=ke(Ye,Se,this.clusterProps),Vt=Ye[Se],ar=Ye[Se+1];else{let jr=this.points[Ye[Se+W]];Gt=jr.properties;let[ri,bi]=jr.geometry.coordinates;Vt=ge(ri),ar=ie(bi)}let Qr={type:1,geometry:[[Math.round(this.options.extent*(Vt*ht-Ve)),Math.round(this.options.extent*(ar*ht-Xe))]],tags:Gt},ai;ai=lt||this.options.generateId?Ye[Se+W]:this.points[Ye[Se+W]].id,ai!==void 0&&(Qr.id=ai),Le.features.push(Qr)}}_limitZoom(Ne){return Math.max(this.options.minZoom,Math.min(Math.floor(+Ne),this.options.maxZoom+1))}_cluster(Ne,Ye){let{radius:Ve,extent:Xe,reduce:ht,minPoints:Le}=this.options,xe=Ve/(Xe*Math.pow(2,Ye)),Se=Ne.data,lt=[],Gt=this.stride;for(let Vt=0;VtYe&&(ri+=Se[nn+re])}if(ri>jr&&ri>=Le){let bi,nn=ar*jr,Wi=Qr*jr,Ni=-1,_n=((Vt/Gt|0)<<5)+(Ye+1)+this.points.length;for(let $i of ai){let zn=$i*Gt;if(Se[zn+2]<=Ye)continue;Se[zn+2]=Ye;let Wn=Se[zn+re];nn+=Se[zn]*Wn,Wi+=Se[zn+1]*Wn,Se[zn+4]=_n,ht&&(bi||(bi=this._map(Se,Vt,!0),Ni=this.clusterProps.length,this.clusterProps.push(bi)),ht(bi,this._map(Se,zn)))}Se[Vt+4]=_n,lt.push(nn/ri,Wi/ri,1/0,_n,-1,ri),ht&<.push(Ni)}else{for(let bi=0;bi1)for(let bi of ai){let nn=bi*Gt;if(!(Se[nn+2]<=Ye)){Se[nn+2]=Ye;for(let Wi=0;Wi>5}_getOriginZoom(Ne){return(Ne-this.points.length)%32}_map(Ne,Ye,Ve){if(Ne[Ye+re]>1){let Le=this.clusterProps[Ne[Ye+ae]];return Ve?Object.assign({},Le):Le}let Xe=this.points[Ne[Ye+W]].properties,ht=this.options.map(Xe);return Ve&&ht===Xe?Object.assign({},ht):ht}}function Me(ut,Ne,Ye){return{type:\"Feature\",id:ut[Ne+W],properties:ke(ut,Ne,Ye),geometry:{type:\"Point\",coordinates:[(Ve=ut[Ne],360*(Ve-.5)),Te(ut[Ne+1])]}};var Ve}function ke(ut,Ne,Ye){let Ve=ut[Ne+re],Xe=Ve>=1e4?`${Math.round(Ve/1e3)}k`:Ve>=1e3?Math.round(Ve/100)/10+\"k\":Ve,ht=ut[Ne+ae],Le=ht===-1?{}:Object.assign({},Ye[ht]);return Object.assign(Le,{cluster:!0,cluster_id:ut[Ne+W],point_count:Ve,point_count_abbreviated:Xe})}function ge(ut){return ut/360+.5}function ie(ut){let Ne=Math.sin(ut*Math.PI/180),Ye=.5-.25*Math.log((1+Ne)/(1-Ne))/Math.PI;return Ye<0?0:Ye>1?1:Ye}function Te(ut){let Ne=(180-360*ut)*Math.PI/180;return 360*Math.atan(Math.exp(Ne))/Math.PI-90}function Ee(ut,Ne,Ye,Ve){let Xe=Ve,ht=Ne+(Ye-Ne>>1),Le,xe=Ye-Ne,Se=ut[Ne],lt=ut[Ne+1],Gt=ut[Ye],Vt=ut[Ye+1];for(let ar=Ne+3;arXe)Le=ar,Xe=Qr;else if(Qr===Xe){let ai=Math.abs(ar-ht);aiVe&&(Le-Ne>3&&Ee(ut,Ne,Le,Ve),ut[Le+2]=Xe,Ye-Le>3&&Ee(ut,Le,Ye,Ve))}function Ae(ut,Ne,Ye,Ve,Xe,ht){let Le=Xe-Ye,xe=ht-Ve;if(Le!==0||xe!==0){let Se=((ut-Ye)*Le+(Ne-Ve)*xe)/(Le*Le+xe*xe);Se>1?(Ye=Xe,Ve=ht):Se>0&&(Ye+=Le*Se,Ve+=xe*Se)}return Le=ut-Ye,xe=Ne-Ve,Le*Le+xe*xe}function ze(ut,Ne,Ye,Ve){let Xe={id:ut==null?null:ut,type:Ne,geometry:Ye,tags:Ve,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};if(Ne===\"Point\"||Ne===\"MultiPoint\"||Ne===\"LineString\")Ce(Xe,Ye);else if(Ne===\"Polygon\")Ce(Xe,Ye[0]);else if(Ne===\"MultiLineString\")for(let ht of Ye)Ce(Xe,ht);else if(Ne===\"MultiPolygon\")for(let ht of Ye)Ce(Xe,ht[0]);return Xe}function Ce(ut,Ne){for(let Ye=0;Ye0&&(Le+=Ve?(Xe*Gt-lt*ht)/2:Math.sqrt(Math.pow(lt-Xe,2)+Math.pow(Gt-ht,2))),Xe=lt,ht=Gt}let xe=Ne.length-3;Ne[2]=1,Ee(Ne,0,xe,Ye),Ne[xe+2]=1,Ne.size=Math.abs(Le),Ne.start=0,Ne.end=Ne.size}function Ge(ut,Ne,Ye,Ve){for(let Xe=0;Xe1?1:Ye}function qt(ut,Ne,Ye,Ve,Xe,ht,Le,xe){if(Ve/=Ne,ht>=(Ye/=Ne)&&Le=Ve)return null;let Se=[];for(let lt of ut){let Gt=lt.geometry,Vt=lt.type,ar=Xe===0?lt.minX:lt.minY,Qr=Xe===0?lt.maxX:lt.maxY;if(ar>=Ye&&Qr=Ve)continue;let ai=[];if(Vt===\"Point\"||Vt===\"MultiPoint\")rt(Gt,ai,Ye,Ve,Xe);else if(Vt===\"LineString\")ot(Gt,ai,Ye,Ve,Xe,!1,xe.lineMetrics);else if(Vt===\"MultiLineString\")kt(Gt,ai,Ye,Ve,Xe,!1);else if(Vt===\"Polygon\")kt(Gt,ai,Ye,Ve,Xe,!0);else if(Vt===\"MultiPolygon\")for(let jr of Gt){let ri=[];kt(jr,ri,Ye,Ve,Xe,!0),ri.length&&ai.push(ri)}if(ai.length){if(xe.lineMetrics&&Vt===\"LineString\"){for(let jr of ai)Se.push(ze(lt.id,Vt,jr,lt.tags));continue}Vt!==\"LineString\"&&Vt!==\"MultiLineString\"||(ai.length===1?(Vt=\"LineString\",ai=ai[0]):Vt=\"MultiLineString\"),Vt!==\"Point\"&&Vt!==\"MultiPoint\"||(Vt=ai.length===3?\"Point\":\"MultiPoint\"),Se.push(ze(lt.id,Vt,ai,lt.tags))}}return Se.length?Se:null}function rt(ut,Ne,Ye,Ve,Xe){for(let ht=0;ht=Ye&&Le<=Ve&&Ct(Ne,ut[ht],ut[ht+1],ut[ht+2])}}function ot(ut,Ne,Ye,Ve,Xe,ht,Le){let xe=Rt(ut),Se=Xe===0?Yt:xr,lt,Gt,Vt=ut.start;for(let ri=0;riYe&&(Gt=Se(xe,bi,nn,Ni,_n,Ye),Le&&(xe.start=Vt+lt*Gt)):$i>Ve?zn=Ye&&(Gt=Se(xe,bi,nn,Ni,_n,Ye),Wn=!0),zn>Ve&&$i<=Ve&&(Gt=Se(xe,bi,nn,Ni,_n,Ve),Wn=!0),!ht&&Wn&&(Le&&(xe.end=Vt+lt*Gt),Ne.push(xe),xe=Rt(ut)),Le&&(Vt+=lt)}let ar=ut.length-3,Qr=ut[ar],ai=ut[ar+1],jr=Xe===0?Qr:ai;jr>=Ye&&jr<=Ve&&Ct(xe,Qr,ai,ut[ar+2]),ar=xe.length-3,ht&&ar>=3&&(xe[ar]!==xe[0]||xe[ar+1]!==xe[1])&&Ct(xe,xe[0],xe[1],xe[2]),xe.length&&Ne.push(xe)}function Rt(ut){let Ne=[];return Ne.size=ut.size,Ne.start=ut.start,Ne.end=ut.end,Ne}function kt(ut,Ne,Ye,Ve,Xe,ht){for(let Le of ut)ot(Le,Ne,Ye,Ve,Xe,ht,!1)}function Ct(ut,Ne,Ye,Ve){ut.push(Ne,Ye,Ve)}function Yt(ut,Ne,Ye,Ve,Xe,ht){let Le=(ht-Ne)/(Ve-Ne);return Ct(ut,ht,Ye+(Xe-Ye)*Le,1),Le}function xr(ut,Ne,Ye,Ve,Xe,ht){let Le=(ht-Ye)/(Xe-Ye);return Ct(ut,Ne+(Ve-Ne)*Le,ht,1),Le}function er(ut,Ne){let Ye=[];for(let Ve=0;Ve0&&Ne.size<(Xe?Le:Ve))return void(Ye.numPoints+=Ne.length/3);let xe=[];for(let Se=0;SeLe)&&(Ye.numSimplified++,xe.push(Ne[Se],Ne[Se+1])),Ye.numPoints++;Xe&&function(Se,lt){let Gt=0;for(let Vt=0,ar=Se.length,Qr=ar-2;Vt0===lt)for(let Vt=0,ar=Se.length;Vt24)throw new Error(\"maxZoom should be in the 0-24 range\");if(Ye.promoteId&&Ye.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");let Xe=function(ht,Le){let xe=[];if(ht.type===\"FeatureCollection\")for(let Se=0;Se1&&console.time(\"creation\"),Qr=this.tiles[ar]=Lt(Ne,Ye,Ve,Xe,lt),this.tileCoords.push({z:Ye,x:Ve,y:Xe}),Gt)){Gt>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",Ye,Ve,Xe,Qr.numFeatures,Qr.numPoints,Qr.numSimplified),console.timeEnd(\"creation\"));let Wn=`z${Ye}`;this.stats[Wn]=(this.stats[Wn]||0)+1,this.total++}if(Qr.source=Ne,ht==null){if(Ye===lt.indexMaxZoom||Qr.numPoints<=lt.indexMaxPoints)continue}else{if(Ye===lt.maxZoom||Ye===ht)continue;if(ht!=null){let Wn=ht-Ye;if(Ve!==Le>>Wn||Xe!==xe>>Wn)continue}}if(Qr.source=null,Ne.length===0)continue;Gt>1&&console.time(\"clipping\");let ai=.5*lt.buffer/lt.extent,jr=.5-ai,ri=.5+ai,bi=1+ai,nn=null,Wi=null,Ni=null,_n=null,$i=qt(Ne,Vt,Ve-ai,Ve+ri,0,Qr.minX,Qr.maxX,lt),zn=qt(Ne,Vt,Ve+jr,Ve+bi,0,Qr.minX,Qr.maxX,lt);Ne=null,$i&&(nn=qt($i,Vt,Xe-ai,Xe+ri,1,Qr.minY,Qr.maxY,lt),Wi=qt($i,Vt,Xe+jr,Xe+bi,1,Qr.minY,Qr.maxY,lt),$i=null),zn&&(Ni=qt(zn,Vt,Xe-ai,Xe+ri,1,Qr.minY,Qr.maxY,lt),_n=qt(zn,Vt,Xe+jr,Xe+bi,1,Qr.minY,Qr.maxY,lt),zn=null),Gt>1&&console.timeEnd(\"clipping\"),Se.push(nn||[],Ye+1,2*Ve,2*Xe),Se.push(Wi||[],Ye+1,2*Ve,2*Xe+1),Se.push(Ni||[],Ye+1,2*Ve+1,2*Xe),Se.push(_n||[],Ye+1,2*Ve+1,2*Xe+1)}}getTile(Ne,Ye,Ve){Ne=+Ne,Ye=+Ye,Ve=+Ve;let Xe=this.options,{extent:ht,debug:Le}=Xe;if(Ne<0||Ne>24)return null;let xe=1<1&&console.log(\"drilling down to z%d-%d-%d\",Ne,Ye,Ve);let lt,Gt=Ne,Vt=Ye,ar=Ve;for(;!lt&&Gt>0;)Gt--,Vt>>=1,ar>>=1,lt=this.tiles[$t(Gt,Vt,ar)];return lt&<.source?(Le>1&&(console.log(\"found parent tile z%d-%d-%d\",Gt,Vt,ar),console.time(\"drilling down\")),this.splitTile(lt.source,Gt,Vt,ar,Ne,Ye,Ve),Le>1&&console.timeEnd(\"drilling down\"),this.tiles[Se]?xt(this.tiles[Se],ht):null):null}}function $t(ut,Ne,Ye){return 32*((1<{Vt.properties=Qr;let ai={};for(let jr of ar)ai[jr]=Se[jr].evaluate(Gt,Vt);return ai},Le.reduce=(Qr,ai)=>{Vt.properties=ai;for(let jr of ar)Gt.accumulated=Qr[jr],Qr[jr]=lt[jr].evaluate(Gt,Vt)},Le}(Ne)).load((yield this._pendingData).features):(Xe=yield this._pendingData,new Ht(Xe,Ne.geojsonVtOptions)),this.loaded={};let ht={};if(Ve){let Le=Ve.finish();Le&&(ht.resourceTiming={},ht.resourceTiming[Ne.source]=JSON.parse(JSON.stringify(Le)))}return ht}catch(ht){if(delete this._pendingRequest,i.bB(ht))return{abandoned:!0};throw ht}var Xe})}getData(){return i._(this,void 0,void 0,function*(){return this._pendingData})}reloadTile(Ne){let Ye=this.loaded;return Ye&&Ye[Ne.uid]?super.reloadTile(Ne):this.loadTile(Ne)}loadAndProcessGeoJSON(Ne,Ye){return i._(this,void 0,void 0,function*(){let Ve=yield this.loadGeoJSON(Ne,Ye);if(delete this._pendingRequest,typeof Ve!=\"object\")throw new Error(`Input data given to '${Ne.source}' is not a valid GeoJSON object.`);if(d(Ve,!0),Ne.filter){let Xe=i.bC(Ne.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(Xe.result===\"error\")throw new Error(Xe.value.map(Le=>`${Le.key}: ${Le.message}`).join(\", \"));Ve={type:\"FeatureCollection\",features:Ve.features.filter(Le=>Xe.value.evaluate({zoom:0},Le))}}return Ve})}loadGeoJSON(Ne,Ye){return i._(this,void 0,void 0,function*(){let{promoteId:Ve}=Ne;if(Ne.request){let Xe=yield i.h(Ne.request,Ye);return this._dataUpdateable=_r(Xe.data,Ve)?Br(Xe.data,Ve):void 0,Xe.data}if(typeof Ne.data==\"string\")try{let Xe=JSON.parse(Ne.data);return this._dataUpdateable=_r(Xe,Ve)?Br(Xe,Ve):void 0,Xe}catch(Xe){throw new Error(`Input data given to '${Ne.source}' is not a valid GeoJSON object.`)}if(!Ne.dataDiff)throw new Error(`Input data given to '${Ne.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${Ne.source}`);return function(Xe,ht,Le){var xe,Se,lt,Gt;if(ht.removeAll&&Xe.clear(),ht.remove)for(let Vt of ht.remove)Xe.delete(Vt);if(ht.add)for(let Vt of ht.add){let ar=fr(Vt,Le);ar!=null&&Xe.set(ar,Vt)}if(ht.update)for(let Vt of ht.update){let ar=Xe.get(Vt.id);if(ar==null)continue;let Qr=!Vt.removeAllProperties&&(((xe=Vt.removeProperties)===null||xe===void 0?void 0:xe.length)>0||((Se=Vt.addOrUpdateProperties)===null||Se===void 0?void 0:Se.length)>0);if((Vt.newGeometry||Vt.removeAllProperties||Qr)&&(ar=Object.assign({},ar),Xe.set(Vt.id,ar),Qr&&(ar.properties=Object.assign({},ar.properties))),Vt.newGeometry&&(ar.geometry=Vt.newGeometry),Vt.removeAllProperties)ar.properties={};else if(((lt=Vt.removeProperties)===null||lt===void 0?void 0:lt.length)>0)for(let ai of Vt.removeProperties)Object.prototype.hasOwnProperty.call(ar.properties,ai)&&delete ar.properties[ai];if(((Gt=Vt.addOrUpdateProperties)===null||Gt===void 0?void 0:Gt.length)>0)for(let{key:ai,value:jr}of Vt.addOrUpdateProperties)ar.properties[ai]=jr}}(this._dataUpdateable,Ne.dataDiff,Ve),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}})}removeSource(Ne){return i._(this,void 0,void 0,function*(){this._pendingRequest&&this._pendingRequest.abort()})}getClusterExpansionZoom(Ne){return this._geoJSONIndex.getClusterExpansionZoom(Ne.clusterId)}getClusterChildren(Ne){return this._geoJSONIndex.getChildren(Ne.clusterId)}getClusterLeaves(Ne){return this._geoJSONIndex.getLeaves(Ne.clusterId,Ne.limit,Ne.offset)}}class Nr{constructor(Ne){this.self=Ne,this.actor=new i.F(Ne),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(Ye,Ve)=>{if(this.externalWorkerSourceTypes[Ye])throw new Error(`Worker source with name \"${Ye}\" already registered.`);this.externalWorkerSourceTypes[Ye]=Ve},this.self.addProtocol=i.bi,this.self.removeProtocol=i.bj,this.self.registerRTLTextPlugin=Ye=>{if(i.bD.isParsed())throw new Error(\"RTL text plugin already registered.\");i.bD.setMethods(Ye)},this.actor.registerMessageHandler(\"LDT\",(Ye,Ve)=>this._getDEMWorkerSource(Ye,Ve.source).loadTile(Ve)),this.actor.registerMessageHandler(\"RDT\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this._getDEMWorkerSource(Ye,Ve.source).removeTile(Ve)})),this.actor.registerMessageHandler(\"GCEZ\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Ye,Ve.type,Ve.source).getClusterExpansionZoom(Ve)})),this.actor.registerMessageHandler(\"GCC\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Ye,Ve.type,Ve.source).getClusterChildren(Ve)})),this.actor.registerMessageHandler(\"GCL\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){return this._getWorkerSource(Ye,Ve.type,Ve.source).getClusterLeaves(Ve)})),this.actor.registerMessageHandler(\"LD\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).loadData(Ve)),this.actor.registerMessageHandler(\"GD\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).getData()),this.actor.registerMessageHandler(\"LT\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).loadTile(Ve)),this.actor.registerMessageHandler(\"RT\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).reloadTile(Ve)),this.actor.registerMessageHandler(\"AT\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).abortTile(Ve)),this.actor.registerMessageHandler(\"RMT\",(Ye,Ve)=>this._getWorkerSource(Ye,Ve.type,Ve.source).removeTile(Ve)),this.actor.registerMessageHandler(\"RS\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){if(!this.workerSources[Ye]||!this.workerSources[Ye][Ve.type]||!this.workerSources[Ye][Ve.type][Ve.source])return;let Xe=this.workerSources[Ye][Ve.type][Ve.source];delete this.workerSources[Ye][Ve.type][Ve.source],Xe.removeSource!==void 0&&Xe.removeSource(Ve)})),this.actor.registerMessageHandler(\"RM\",Ye=>i._(this,void 0,void 0,function*(){delete this.layerIndexes[Ye],delete this.availableImages[Ye],delete this.workerSources[Ye],delete this.demWorkerSources[Ye]})),this.actor.registerMessageHandler(\"SR\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this.referrer=Ve})),this.actor.registerMessageHandler(\"SRPS\",(Ye,Ve)=>this._syncRTLPluginState(Ye,Ve)),this.actor.registerMessageHandler(\"IS\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this.self.importScripts(Ve)})),this.actor.registerMessageHandler(\"SI\",(Ye,Ve)=>this._setImages(Ye,Ve)),this.actor.registerMessageHandler(\"UL\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this._getLayerIndex(Ye).update(Ve.layers,Ve.removedIds)})),this.actor.registerMessageHandler(\"SL\",(Ye,Ve)=>i._(this,void 0,void 0,function*(){this._getLayerIndex(Ye).replace(Ve)}))}_setImages(Ne,Ye){return i._(this,void 0,void 0,function*(){this.availableImages[Ne]=Ye;for(let Ve in this.workerSources[Ne]){let Xe=this.workerSources[Ne][Ve];for(let ht in Xe)Xe[ht].availableImages=Ye}})}_syncRTLPluginState(Ne,Ye){return i._(this,void 0,void 0,function*(){if(i.bD.isParsed())return i.bD.getState();if(Ye.pluginStatus!==\"loading\")return i.bD.setState(Ye),Ye;let Ve=Ye.pluginURL;if(this.self.importScripts(Ve),i.bD.isParsed()){let Xe={pluginStatus:\"loaded\",pluginURL:Ve};return i.bD.setState(Xe),Xe}throw i.bD.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${Ve}`)})}_getAvailableImages(Ne){let Ye=this.availableImages[Ne];return Ye||(Ye=[]),Ye}_getLayerIndex(Ne){let Ye=this.layerIndexes[Ne];return Ye||(Ye=this.layerIndexes[Ne]=new a),Ye}_getWorkerSource(Ne,Ye,Ve){if(this.workerSources[Ne]||(this.workerSources[Ne]={}),this.workerSources[Ne][Ye]||(this.workerSources[Ne][Ye]={}),!this.workerSources[Ne][Ye][Ve]){let Xe={sendAsync:(ht,Le)=>(ht.targetMapId=Ne,this.actor.sendAsync(ht,Le))};switch(Ye){case\"vector\":this.workerSources[Ne][Ye][Ve]=new u(Xe,this._getLayerIndex(Ne),this._getAvailableImages(Ne));break;case\"geojson\":this.workerSources[Ne][Ye][Ve]=new Or(Xe,this._getLayerIndex(Ne),this._getAvailableImages(Ne));break;default:this.workerSources[Ne][Ye][Ve]=new this.externalWorkerSourceTypes[Ye](Xe,this._getLayerIndex(Ne),this._getAvailableImages(Ne))}}return this.workerSources[Ne][Ye][Ve]}_getDEMWorkerSource(Ne,Ye){return this.demWorkerSources[Ne]||(this.demWorkerSources[Ne]={}),this.demWorkerSources[Ne][Ye]||(this.demWorkerSources[Ne][Ye]=new c),this.demWorkerSources[Ne][Ye]}}return i.i(self)&&(self.worker=new Nr(self)),Nr}),r(\"index\",[\"exports\",\"./shared\"],function(i,a){\"use strict\";var o=\"4.7.1\";let s,l,u={now:typeof performance!=\"undefined\"&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync:le=>new Promise((w,B)=>{let Q=requestAnimationFrame(w);le.signal.addEventListener(\"abort\",()=>{cancelAnimationFrame(Q),B(a.c())})}),getImageData(le,w=0){return this.getImageCanvasContext(le).getImageData(-w,-w,le.width+2*w,le.height+2*w)},getImageCanvasContext(le){let w=window.document.createElement(\"canvas\"),B=w.getContext(\"2d\",{willReadFrequently:!0});if(!B)throw new Error(\"failed to create canvas 2d context\");return w.width=le.width,w.height=le.height,B.drawImage(le,0,0,le.width,le.height),B},resolveURL:le=>(s||(s=document.createElement(\"a\")),s.href=le,s.href),hardwareConcurrency:typeof navigator!=\"undefined\"&&navigator.hardwareConcurrency||4,get prefersReducedMotion(){return!!matchMedia&&(l==null&&(l=matchMedia(\"(prefers-reduced-motion: reduce)\")),l.matches)}};class c{static testProp(w){if(!c.docStyle)return w[0];for(let B=0;B{window.removeEventListener(\"click\",c.suppressClickInternal,!0)},0)}static getScale(w){let B=w.getBoundingClientRect();return{x:B.width/w.offsetWidth||1,y:B.height/w.offsetHeight||1,boundingClientRect:B}}static getPoint(w,B,Q){let ee=B.boundingClientRect;return new a.P((Q.clientX-ee.left)/B.x-w.clientLeft,(Q.clientY-ee.top)/B.y-w.clientTop)}static mousePos(w,B){let Q=c.getScale(w);return c.getPoint(w,Q,B)}static touchPos(w,B){let Q=[],ee=c.getScale(w);for(let se=0;se{h&&b(h),h=null,x=!0},d.onerror=()=>{v=!0,h=null},d.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),function(le){let w,B,Q,ee;le.resetRequestQueue=()=>{w=[],B=0,Q=0,ee={}},le.addThrottleControl=it=>{let yt=Q++;return ee[yt]=it,yt},le.removeThrottleControl=it=>{delete ee[it],qe()},le.getImage=(it,yt,Ot=!0)=>new Promise((Nt,hr)=>{f.supported&&(it.headers||(it.headers={}),it.headers.accept=\"image/webp,*/*\"),a.e(it,{type:\"image\"}),w.push({abortController:yt,requestParameters:it,supportImageRefresh:Ot,state:\"queued\",onError:Sr=>{hr(Sr)},onSuccess:Sr=>{Nt(Sr)}}),qe()});let se=it=>a._(this,void 0,void 0,function*(){it.state=\"running\";let{requestParameters:yt,supportImageRefresh:Ot,onError:Nt,onSuccess:hr,abortController:Sr}=it,he=Ot===!1&&!a.i(self)&&!a.g(yt.url)&&(!yt.headers||Object.keys(yt.headers).reduce((Oe,Je)=>Oe&&Je===\"accept\",!0));B++;let be=he?je(yt,Sr):a.m(yt,Sr);try{let Oe=yield be;delete it.abortController,it.state=\"completed\",Oe.data instanceof HTMLImageElement||a.b(Oe.data)?hr(Oe):Oe.data&&hr({data:yield(Pe=Oe.data,typeof createImageBitmap==\"function\"?a.d(Pe):a.f(Pe)),cacheControl:Oe.cacheControl,expires:Oe.expires})}catch(Oe){delete it.abortController,Nt(Oe)}finally{B--,qe()}var Pe}),qe=()=>{let it=(()=>{for(let yt of Object.keys(ee))if(ee[yt]())return!0;return!1})()?a.a.MAX_PARALLEL_IMAGE_REQUESTS_PER_FRAME:a.a.MAX_PARALLEL_IMAGE_REQUESTS;for(let yt=B;yt0;yt++){let Ot=w.shift();Ot.abortController.signal.aborted?yt--:se(Ot)}},je=(it,yt)=>new Promise((Ot,Nt)=>{let hr=new Image,Sr=it.url,he=it.credentials;he&&he===\"include\"?hr.crossOrigin=\"use-credentials\":(he&&he===\"same-origin\"||!a.s(Sr))&&(hr.crossOrigin=\"anonymous\"),yt.signal.addEventListener(\"abort\",()=>{hr.src=\"\",Nt(a.c())}),hr.fetchPriority=\"high\",hr.onload=()=>{hr.onerror=hr.onload=null,Ot({data:hr})},hr.onerror=()=>{hr.onerror=hr.onload=null,yt.signal.aborted||Nt(new Error(\"Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported.\"))},hr.src=Sr})}(g||(g={})),g.resetRequestQueue();class E{constructor(w){this._transformRequestFn=w}transformRequest(w,B){return this._transformRequestFn&&this._transformRequestFn(w,B)||{url:w}}setTransformRequest(w){this._transformRequestFn=w}}function k(le){var w=new a.A(3);return w[0]=le[0],w[1]=le[1],w[2]=le[2],w}var A,L=function(le,w,B){return le[0]=w[0]-B[0],le[1]=w[1]-B[1],le[2]=w[2]-B[2],le};A=new a.A(3),a.A!=Float32Array&&(A[0]=0,A[1]=0,A[2]=0);var _=function(le){var w=le[0],B=le[1];return w*w+B*B};function C(le){let w=[];if(typeof le==\"string\")w.push({id:\"default\",url:le});else if(le&&le.length>0){let B=[];for(let{id:Q,url:ee}of le){let se=`${Q}${ee}`;B.indexOf(se)===-1&&(B.push(se),w.push({id:Q,url:ee}))}}return w}function M(le,w,B){let Q=le.split(\"?\");return Q[0]+=`${w}${B}`,Q.join(\"?\")}(function(){var le=new a.A(2);a.A!=Float32Array&&(le[0]=0,le[1]=0)})();class p{constructor(w,B,Q,ee){this.context=w,this.format=Q,this.texture=w.gl.createTexture(),this.update(B,ee)}update(w,B,Q){let{width:ee,height:se}=w,qe=!(this.size&&this.size[0]===ee&&this.size[1]===se||Q),{context:je}=this,{gl:it}=je;if(this.useMipmap=!!(B&&B.useMipmap),it.bindTexture(it.TEXTURE_2D,this.texture),je.pixelStoreUnpackFlipY.set(!1),je.pixelStoreUnpack.set(1),je.pixelStoreUnpackPremultiplyAlpha.set(this.format===it.RGBA&&(!B||B.premultiply!==!1)),qe)this.size=[ee,se],w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?it.texImage2D(it.TEXTURE_2D,0,this.format,this.format,it.UNSIGNED_BYTE,w):it.texImage2D(it.TEXTURE_2D,0,this.format,ee,se,0,this.format,it.UNSIGNED_BYTE,w.data);else{let{x:yt,y:Ot}=Q||{x:0,y:0};w instanceof HTMLImageElement||w instanceof HTMLCanvasElement||w instanceof HTMLVideoElement||w instanceof ImageData||a.b(w)?it.texSubImage2D(it.TEXTURE_2D,0,yt,Ot,it.RGBA,it.UNSIGNED_BYTE,w):it.texSubImage2D(it.TEXTURE_2D,0,yt,Ot,ee,se,it.RGBA,it.UNSIGNED_BYTE,w.data)}this.useMipmap&&this.isSizePowerOfTwo()&&it.generateMipmap(it.TEXTURE_2D)}bind(w,B,Q){let{context:ee}=this,{gl:se}=ee;se.bindTexture(se.TEXTURE_2D,this.texture),Q!==se.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(Q=se.LINEAR),w!==this.filter&&(se.texParameteri(se.TEXTURE_2D,se.TEXTURE_MAG_FILTER,w),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_MIN_FILTER,Q||w),this.filter=w),B!==this.wrap&&(se.texParameteri(se.TEXTURE_2D,se.TEXTURE_WRAP_S,B),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_WRAP_T,B),this.wrap=B)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){let{gl:w}=this.context;w.deleteTexture(this.texture),this.texture=null}}function P(le){let{userImage:w}=le;return!!(w&&w.render&&w.render())&&(le.data.replace(new Uint8Array(w.data.buffer)),!0)}class T extends a.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new a.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(w){if(this.loaded!==w&&(this.loaded=w,w)){for(let{ids:B,promiseResolve:Q}of this.requestors)Q(this._getImagesForIds(B));this.requestors=[]}}getImage(w){let B=this.images[w];if(B&&!B.data&&B.spriteData){let Q=B.spriteData;B.data=new a.R({width:Q.width,height:Q.height},Q.context.getImageData(Q.x,Q.y,Q.width,Q.height).data),B.spriteData=null}return B}addImage(w,B){if(this.images[w])throw new Error(`Image id ${w} already exist, use updateImage instead`);this._validate(w,B)&&(this.images[w]=B)}_validate(w,B){let Q=!0,ee=B.data||B.spriteData;return this._validateStretch(B.stretchX,ee&&ee.width)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchX\" value`))),Q=!1),this._validateStretch(B.stretchY,ee&&ee.height)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"stretchY\" value`))),Q=!1),this._validateContent(B.content,B)||(this.fire(new a.j(new Error(`Image \"${w}\" has invalid \"content\" value`))),Q=!1),Q}_validateStretch(w,B){if(!w)return!0;let Q=0;for(let ee of w){if(ee[0]{let ee=!0;if(!this.isLoaded())for(let se of w)this.images[se]||(ee=!1);this.isLoaded()||ee?B(this._getImagesForIds(w)):this.requestors.push({ids:w,promiseResolve:B})})}_getImagesForIds(w){let B={};for(let Q of w){let ee=this.getImage(Q);ee||(this.fire(new a.k(\"styleimagemissing\",{id:Q})),ee=this.getImage(Q)),ee?B[Q]={data:ee.data.clone(),pixelRatio:ee.pixelRatio,sdf:ee.sdf,version:ee.version,stretchX:ee.stretchX,stretchY:ee.stretchY,content:ee.content,textFitWidth:ee.textFitWidth,textFitHeight:ee.textFitHeight,hasRenderCallback:!!(ee.userImage&&ee.userImage.render)}:a.w(`Image \"${Q}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return B}getPixelSize(){let{width:w,height:B}=this.atlasImage;return{width:w,height:B}}getPattern(w){let B=this.patterns[w],Q=this.getImage(w);if(!Q)return null;if(B&&B.position.version===Q.version)return B.position;if(B)B.position.version=Q.version;else{let ee={w:Q.data.width+2,h:Q.data.height+2,x:0,y:0},se=new a.I(ee,Q);this.patterns[w]={bin:ee,position:se}}return this._updatePatternAtlas(),this.patterns[w].position}bind(w){let B=w.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new p(w,this.atlasImage,B.RGBA),this.atlasTexture.bind(B.LINEAR,B.CLAMP_TO_EDGE)}_updatePatternAtlas(){let w=[];for(let se in this.patterns)w.push(this.patterns[se].bin);let{w:B,h:Q}=a.p(w),ee=this.atlasImage;ee.resize({width:B||1,height:Q||1});for(let se in this.patterns){let{bin:qe}=this.patterns[se],je=qe.x+1,it=qe.y+1,yt=this.getImage(se).data,Ot=yt.width,Nt=yt.height;a.R.copy(yt,ee,{x:0,y:0},{x:je,y:it},{width:Ot,height:Nt}),a.R.copy(yt,ee,{x:0,y:Nt-1},{x:je,y:it-1},{width:Ot,height:1}),a.R.copy(yt,ee,{x:0,y:0},{x:je,y:it+Nt},{width:Ot,height:1}),a.R.copy(yt,ee,{x:Ot-1,y:0},{x:je-1,y:it},{width:1,height:Nt}),a.R.copy(yt,ee,{x:0,y:0},{x:je+Ot,y:it},{width:1,height:Nt})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(w){for(let B of w){if(this.callbackDispatchedThisFrame[B])continue;this.callbackDispatchedThisFrame[B]=!0;let Q=this.getImage(B);Q||a.w(`Image with ID: \"${B}\" was not found`),P(Q)&&this.updateImage(B,Q)}}}let F=1e20;function q(le,w,B,Q,ee,se,qe,je,it){for(let yt=w;yt-1);it++,se[it]=je,qe[it]=yt,qe[it+1]=F}for(let je=0,it=0;je65535)throw new Error(\"glyphs > 65535 not supported\");if(Q.ranges[se])return{stack:w,id:B,glyph:ee};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!Q.requests[se]){let je=H.loadGlyphRange(w,se,this.url,this.requestManager);Q.requests[se]=je}let qe=yield Q.requests[se];for(let je in qe)this._doesCharSupportLocalGlyph(+je)||(Q.glyphs[+je]=qe[+je]);return Q.ranges[se]=!0,{stack:w,id:B,glyph:qe[B]||null}})}_doesCharSupportLocalGlyph(w){return!!this.localIdeographFontFamily&&new RegExp(\"\\\\p{Ideo}|\\\\p{sc=Hang}|\\\\p{sc=Hira}|\\\\p{sc=Kana}\",\"u\").test(String.fromCodePoint(w))}_tinySDF(w,B,Q){let ee=this.localIdeographFontFamily;if(!ee||!this._doesCharSupportLocalGlyph(Q))return;let se=w.tinySDF;if(!se){let je=\"400\";/bold/i.test(B)?je=\"900\":/medium/i.test(B)?je=\"500\":/light/i.test(B)&&(je=\"200\"),se=w.tinySDF=new H.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:ee,fontWeight:je})}let qe=se.draw(String.fromCharCode(Q));return{id:Q,bitmap:new a.o({width:qe.width||60,height:qe.height||60},qe.data),metrics:{width:qe.glyphWidth/2||24,height:qe.glyphHeight/2||24,left:qe.glyphLeft/2+.5||0,top:qe.glyphTop/2-27.5||-8,advance:qe.glyphAdvance/2||24,isDoubleResolution:!0}}}}H.loadGlyphRange=function(le,w,B,Q){return a._(this,void 0,void 0,function*(){let ee=256*w,se=ee+255,qe=Q.transformRequest(B.replace(\"{fontstack}\",le).replace(\"{range}\",`${ee}-${se}`),\"Glyphs\"),je=yield a.l(qe,new AbortController);if(!je||!je.data)throw new Error(`Could not load glyph range. range: ${w}, ${ee}-${se}`);let it={};for(let yt of a.n(je.data))it[yt.id]=yt;return it})},H.TinySDF=class{constructor({fontSize:le=24,buffer:w=3,radius:B=8,cutoff:Q=.25,fontFamily:ee=\"sans-serif\",fontWeight:se=\"normal\",fontStyle:qe=\"normal\"}={}){this.buffer=w,this.cutoff=Q,this.radius=B;let je=this.size=le+4*w,it=this._createCanvas(je),yt=this.ctx=it.getContext(\"2d\",{willReadFrequently:!0});yt.font=`${qe} ${se} ${le}px ${ee}`,yt.textBaseline=\"alphabetic\",yt.textAlign=\"left\",yt.fillStyle=\"black\",this.gridOuter=new Float64Array(je*je),this.gridInner=new Float64Array(je*je),this.f=new Float64Array(je),this.z=new Float64Array(je+1),this.v=new Uint16Array(je)}_createCanvas(le){let w=document.createElement(\"canvas\");return w.width=w.height=le,w}draw(le){let{width:w,actualBoundingBoxAscent:B,actualBoundingBoxDescent:Q,actualBoundingBoxLeft:ee,actualBoundingBoxRight:se}=this.ctx.measureText(le),qe=Math.ceil(B),je=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(se-ee))),it=Math.min(this.size-this.buffer,qe+Math.ceil(Q)),yt=je+2*this.buffer,Ot=it+2*this.buffer,Nt=Math.max(yt*Ot,0),hr=new Uint8ClampedArray(Nt),Sr={data:hr,width:yt,height:Ot,glyphWidth:je,glyphHeight:it,glyphTop:qe,glyphLeft:0,glyphAdvance:w};if(je===0||it===0)return Sr;let{ctx:he,buffer:be,gridInner:Pe,gridOuter:Oe}=this;he.clearRect(be,be,je,it),he.fillText(le,be,be+qe);let Je=he.getImageData(be,be,je,it);Oe.fill(F,0,Nt),Pe.fill(0,0,Nt);for(let He=0;He0?Ut*Ut:0,Pe[Dt]=Ut<0?Ut*Ut:0}}q(Oe,0,0,yt,Ot,yt,this.f,this.v,this.z),q(Pe,be,be,je,it,yt,this.f,this.v,this.z);for(let He=0;He1&&(it=w[++je]);let Ot=Math.abs(yt-it.left),Nt=Math.abs(yt-it.right),hr=Math.min(Ot,Nt),Sr,he=se/Q*(ee+1);if(it.isDash){let be=ee-Math.abs(he);Sr=Math.sqrt(hr*hr+be*be)}else Sr=ee-Math.sqrt(hr*hr+he*he);this.data[qe+yt]=Math.max(0,Math.min(255,Sr+128))}}}addRegularDash(w){for(let je=w.length-1;je>=0;--je){let it=w[je],yt=w[je+1];it.zeroLength?w.splice(je,1):yt&&yt.isDash===it.isDash&&(yt.left=it.left,w.splice(je,1))}let B=w[0],Q=w[w.length-1];B.isDash===Q.isDash&&(B.left=Q.left-this.width,Q.right=B.right+this.width);let ee=this.width*this.nextRow,se=0,qe=w[se];for(let je=0;je1&&(qe=w[++se]);let it=Math.abs(je-qe.left),yt=Math.abs(je-qe.right),Ot=Math.min(it,yt);this.data[ee+je]=Math.max(0,Math.min(255,(qe.isDash?Ot:-Ot)+128))}}addDash(w,B){let Q=B?7:0,ee=2*Q+1;if(this.nextRow+ee>this.height)return a.w(\"LineAtlas out of space\"),null;let se=0;for(let je=0;je{B.terminate()}),this.workers=null)}isPreloaded(){return!!this.active[_e]}numActive(){return Object.keys(this.active).length}}let ke=Math.floor(u.hardwareConcurrency/2),ge,ie;function Te(){return ge||(ge=new Me),ge}Me.workerCount=a.C(globalThis)?Math.max(Math.min(ke,3),1):1;class Ee{constructor(w,B){this.workerPool=w,this.actors=[],this.currentActor=0,this.id=B;let Q=this.workerPool.acquire(B);for(let ee=0;ee{B.remove()}),this.actors=[],w&&this.workerPool.release(this.id)}registerMessageHandler(w,B){for(let Q of this.actors)Q.registerMessageHandler(w,B)}}function Ae(){return ie||(ie=new Ee(Te(),a.G),ie.registerMessageHandler(\"GR\",(le,w,B)=>a.m(w,B))),ie}function ze(le,w){let B=a.H();return a.J(B,B,[1,1,0]),a.K(B,B,[.5*le.width,.5*le.height,1]),a.L(B,B,le.calculatePosMatrix(w.toUnwrapped()))}function Ce(le,w,B,Q,ee,se){let qe=function(Nt,hr,Sr){if(Nt)for(let he of Nt){let be=hr[he];if(be&&be.source===Sr&&be.type===\"fill-extrusion\")return!0}else for(let he in hr){let be=hr[he];if(be.source===Sr&&be.type===\"fill-extrusion\")return!0}return!1}(ee&&ee.layers,w,le.id),je=se.maxPitchScaleFactor(),it=le.tilesIn(Q,je,qe);it.sort(me);let yt=[];for(let Nt of it)yt.push({wrappedTileID:Nt.tileID.wrapped().key,queryResults:Nt.tile.queryRenderedFeatures(w,B,le._state,Nt.queryGeometry,Nt.cameraQueryGeometry,Nt.scale,ee,se,je,ze(le.transform,Nt.tileID))});let Ot=function(Nt){let hr={},Sr={};for(let he of Nt){let be=he.queryResults,Pe=he.wrappedTileID,Oe=Sr[Pe]=Sr[Pe]||{};for(let Je in be){let He=be[Je],et=Oe[Je]=Oe[Je]||{},Mt=hr[Je]=hr[Je]||[];for(let Dt of He)et[Dt.featureIndex]||(et[Dt.featureIndex]=!0,Mt.push(Dt))}}return hr}(yt);for(let Nt in Ot)Ot[Nt].forEach(hr=>{let Sr=hr.feature,he=le.getFeatureState(Sr.layer[\"source-layer\"],Sr.id);Sr.source=Sr.layer.source,Sr.layer[\"source-layer\"]&&(Sr.sourceLayer=Sr.layer[\"source-layer\"]),Sr.state=he});return Ot}function me(le,w){let B=le.tileID,Q=w.tileID;return B.overscaledZ-Q.overscaledZ||B.canonical.y-Q.canonical.y||B.wrap-Q.wrap||B.canonical.x-Q.canonical.x}function Re(le,w,B){return a._(this,void 0,void 0,function*(){let Q=le;if(le.url?Q=(yield a.h(w.transformRequest(le.url,\"Source\"),B)).data:yield u.frameAsync(B),!Q)return null;let ee=a.M(a.e(Q,le),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in Q&&Q.vector_layers&&(ee.vectorLayerIds=Q.vector_layers.map(se=>se.id)),ee})}class ce{constructor(w,B){w&&(B?this.setSouthWest(w).setNorthEast(B):Array.isArray(w)&&(w.length===4?this.setSouthWest([w[0],w[1]]).setNorthEast([w[2],w[3]]):this.setSouthWest(w[0]).setNorthEast(w[1])))}setNorthEast(w){return this._ne=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}setSouthWest(w){return this._sw=w instanceof a.N?new a.N(w.lng,w.lat):a.N.convert(w),this}extend(w){let B=this._sw,Q=this._ne,ee,se;if(w instanceof a.N)ee=w,se=w;else{if(!(w instanceof ce))return Array.isArray(w)?w.length===4||w.every(Array.isArray)?this.extend(ce.convert(w)):this.extend(a.N.convert(w)):w&&(\"lng\"in w||\"lon\"in w)&&\"lat\"in w?this.extend(a.N.convert(w)):this;if(ee=w._sw,se=w._ne,!ee||!se)return this}return B||Q?(B.lng=Math.min(ee.lng,B.lng),B.lat=Math.min(ee.lat,B.lat),Q.lng=Math.max(se.lng,Q.lng),Q.lat=Math.max(se.lat,Q.lat)):(this._sw=new a.N(ee.lng,ee.lat),this._ne=new a.N(se.lng,se.lat)),this}getCenter(){return new a.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new a.N(this.getWest(),this.getNorth())}getSouthEast(){return new a.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(w){let{lng:B,lat:Q}=a.N.convert(w),ee=this._sw.lng<=B&&B<=this._ne.lng;return this._sw.lng>this._ne.lng&&(ee=this._sw.lng>=B&&B>=this._ne.lng),this._sw.lat<=Q&&Q<=this._ne.lat&&ee}static convert(w){return w instanceof ce?w:w&&new ce(w)}static fromLngLat(w,B=0){let Q=360*B/40075017,ee=Q/Math.cos(Math.PI/180*w.lat);return new ce(new a.N(w.lng-ee,w.lat-Q),new a.N(w.lng+ee,w.lat+Q))}adjustAntiMeridian(){let w=new a.N(this._sw.lng,this._sw.lat),B=new a.N(this._ne.lng,this._ne.lat);return new ce(w,w.lng>B.lng?new a.N(B.lng+360,B.lat):B)}}class Ge{constructor(w,B,Q){this.bounds=ce.convert(this.validateBounds(w)),this.minzoom=B||0,this.maxzoom=Q||24}validateBounds(w){return Array.isArray(w)&&w.length===4?[Math.max(-180,w[0]),Math.max(-90,w[1]),Math.min(180,w[2]),Math.min(90,w[3])]:[-180,-90,180,90]}contains(w){let B=Math.pow(2,w.z),Q=Math.floor(a.O(this.bounds.getWest())*B),ee=Math.floor(a.Q(this.bounds.getNorth())*B),se=Math.ceil(a.O(this.bounds.getEast())*B),qe=Math.ceil(a.Q(this.bounds.getSouth())*B);return w.x>=Q&&w.x=ee&&w.y{this._options.tiles=w}),this}setUrl(w){return this.setSourceProperty(()=>{this.url=w,this._options.url=w}),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return a.e({},this._options)}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q={request:this.map._requestManager.transformRequest(B,\"Tile\"),uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,tileSize:this.tileSize*w.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};Q.request.collectResourceTiming=this._collectResourceTiming;let ee=\"RT\";if(w.actor&&w.state!==\"expired\"){if(w.state===\"loading\")return new Promise((se,qe)=>{w.reloadPromise={resolve:se,reject:qe}})}else w.actor=this.dispatcher.getActor(),ee=\"LT\";w.abortController=new AbortController;try{let se=yield w.actor.sendAsync({type:ee,data:Q},w.abortController);if(delete w.abortController,w.aborted)return;this._afterTileLoadWorkerResponse(w,se)}catch(se){if(delete w.abortController,w.aborted)return;if(se&&se.status!==404)throw se;this._afterTileLoadWorkerResponse(w,null)}})}_afterTileLoadWorkerResponse(w,B){if(B&&B.resourceTiming&&(w.resourceTiming=B.resourceTiming),B&&this.map._refreshExpiredTiles&&w.setExpiryData(B),w.loadVectorData(B,this.map.painter),w.reloadPromise){let Q=w.reloadPromise;w.reloadPromise=null,this.loadTile(w).then(Q.resolve).catch(Q.reject)}}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.actor&&(yield w.actor.sendAsync({type:\"AT\",data:{uid:w.uid,type:this.type,source:this.id}}))})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.unloadVectorData(),w.actor&&(yield w.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}}))})}hasTransition(){return!1}}class ct extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.setEventedParent(ee),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=a.e({type:\"raster\"},B),a.e(this,a.M(B,[\"url\",\"scheme\",\"tileSize\"]))}load(){return a._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{let w=yield Re(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,w&&(a.e(this,w),w.bounds&&(this.tileBounds=new Ge(w.bounds,this.minzoom,this.maxzoom)),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(w){this._tileJSONRequest=null,this.fire(new a.j(w))}})}loaded(){return this._loaded}onAdd(w){this.map=w,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(w){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),w(),this.load()}setTiles(w){return this.setSourceProperty(()=>{this._options.tiles=w}),this}setUrl(w){return this.setSourceProperty(()=>{this.url=w,this._options.url=w}),this}serialize(){return a.e({},this._options)}hasTile(w){return!this.tileBounds||this.tileBounds.contains(w.canonical)}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);w.abortController=new AbortController;try{let Q=yield g.getImage(this.map._requestManager.transformRequest(B,\"Tile\"),w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(Q&&Q.data){this.map._refreshExpiredTiles&&Q.cacheControl&&Q.expires&&w.setExpiryData({cacheControl:Q.cacheControl,expires:Q.expires});let ee=this.map.painter.context,se=ee.gl,qe=Q.data;w.texture=this.map.painter.getTileTexture(qe.width),w.texture?w.texture.update(qe,{useMipmap:!0}):(w.texture=new p(ee,qe,se.RGBA,{useMipmap:!0}),w.texture.bind(se.LINEAR,se.CLAMP_TO_EDGE,se.LINEAR_MIPMAP_NEAREST)),w.state=\"loaded\"}}catch(Q){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(Q)throw w.state=\"errored\",Q}})}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController)})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.texture&&this.map.painter.saveTileTexture(w.texture)})}hasTransition(){return!1}}class qt extends ct{constructor(w,B,Q,ee){super(w,B,Q,ee),this.type=\"raster-dem\",this.maxzoom=22,this._options=a.e({type:\"raster-dem\"},B),this.encoding=B.encoding||\"mapbox\",this.redFactor=B.redFactor,this.greenFactor=B.greenFactor,this.blueFactor=B.blueFactor,this.baseShift=B.baseShift}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),Q=this.map._requestManager.transformRequest(B,\"Tile\");w.neighboringTiles=this._getNeighboringTiles(w.tileID),w.abortController=new AbortController;try{let ee=yield g.getImage(Q,w.abortController,this.map._refreshExpiredTiles);if(delete w.abortController,w.aborted)return void(w.state=\"unloaded\");if(ee&&ee.data){let se=ee.data;this.map._refreshExpiredTiles&&ee.cacheControl&&ee.expires&&w.setExpiryData({cacheControl:ee.cacheControl,expires:ee.expires});let qe=a.b(se)&&a.U()?se:yield this.readImageNow(se),je={type:this.type,uid:w.uid,source:this.id,rawImageData:qe,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!w.actor||w.state===\"expired\"){w.actor=this.dispatcher.getActor();let it=yield w.actor.sendAsync({type:\"LDT\",data:je});w.dem=it,w.needsHillshadePrepare=!0,w.needsTerrainPrepare=!0,w.state=\"loaded\"}}}catch(ee){if(delete w.abortController,w.aborted)w.state=\"unloaded\";else if(ee)throw w.state=\"errored\",ee}})}readImageNow(w){return a._(this,void 0,void 0,function*(){if(typeof VideoFrame!=\"undefined\"&&a.V()){let B=w.width+2,Q=w.height+2;try{return new a.R({width:B,height:Q},yield a.W(w,-1,-1,B,Q))}catch(ee){}}return u.getImageData(w,1)})}_getNeighboringTiles(w){let B=w.canonical,Q=Math.pow(2,B.z),ee=(B.x-1+Q)%Q,se=B.x===0?w.wrap-1:w.wrap,qe=(B.x+1+Q)%Q,je=B.x+1===Q?w.wrap+1:w.wrap,it={};return it[new a.S(w.overscaledZ,se,B.z,ee,B.y).key]={backfilled:!1},it[new a.S(w.overscaledZ,je,B.z,qe,B.y).key]={backfilled:!1},B.y>0&&(it[new a.S(w.overscaledZ,se,B.z,ee,B.y-1).key]={backfilled:!1},it[new a.S(w.overscaledZ,w.wrap,B.z,B.x,B.y-1).key]={backfilled:!1},it[new a.S(w.overscaledZ,je,B.z,qe,B.y-1).key]={backfilled:!1}),B.y+10&&a.e(se,{resourceTiming:ee}),this.fire(new a.k(\"data\",Object.assign(Object.assign({},se),{sourceDataType:\"metadata\"}))),this.fire(new a.k(\"data\",Object.assign(Object.assign({},se),{sourceDataType:\"content\"})))}catch(Q){if(this._pendingLoads--,this._removed)return void this.fire(new a.k(\"dataabort\",{dataType:\"source\"}));this.fire(new a.j(Q))}})}loaded(){return this._pendingLoads===0}loadTile(w){return a._(this,void 0,void 0,function*(){let B=w.actor?\"RT\":\"LT\";w.actor=this.actor;let Q={type:this.type,uid:w.uid,tileID:w.tileID,zoom:w.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};w.abortController=new AbortController;let ee=yield this.actor.sendAsync({type:B,data:Q},w.abortController);delete w.abortController,w.unloadVectorData(),w.aborted||w.loadVectorData(ee,this.map.painter,B===\"RT\")})}abortTile(w){return a._(this,void 0,void 0,function*(){w.abortController&&(w.abortController.abort(),delete w.abortController),w.aborted=!0})}unloadTile(w){return a._(this,void 0,void 0,function*(){w.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:w.uid,type:this.type,source:this.id}})})}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return a.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var ot=a.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class Rt extends a.E{constructor(w,B,Q,ee){super(),this.id=w,this.dispatcher=Q,this.coordinates=B.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(ee),this.options=B}load(w){return a._(this,void 0,void 0,function*(){this._loaded=!1,this.fire(new a.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{let B=yield g.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,B&&B.data&&(this.image=B.data,w&&(this.coordinates=w),this._finishLoading())}catch(B){this._request=null,this._loaded=!0,this.fire(new a.j(B))}})}loaded(){return this._loaded}updateImage(w){return w.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=w.url,this.load(w.coordinates).finally(()=>{this.texture=null}),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(w){this.map=w,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(w){this.coordinates=w;let B=w.map(a.Z.fromLngLat);this.tileID=function(ee){let se=1/0,qe=1/0,je=-1/0,it=-1/0;for(let hr of ee)se=Math.min(se,hr.x),qe=Math.min(qe,hr.y),je=Math.max(je,hr.x),it=Math.max(it,hr.y);let yt=Math.max(je-se,it-qe),Ot=Math.max(0,Math.floor(-Math.log(yt)/Math.LN2)),Nt=Math.pow(2,Ot);return new a.a1(Ot,Math.floor((se+je)/2*Nt),Math.floor((qe+it)/2*Nt))}(B),this.minzoom=this.maxzoom=this.tileID.z;let Q=B.map(ee=>this.tileID.getTilePoint(ee)._round());return this._boundsArray=new a.$,this._boundsArray.emplaceBack(Q[0].x,Q[0].y,0,0),this._boundsArray.emplaceBack(Q[1].x,Q[1].y,a.X,0),this._boundsArray.emplaceBack(Q[3].x,Q[3].y,0,a.X),this._boundsArray.emplaceBack(Q[2].x,Q[2].y,a.X,a.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(Object.keys(this.tiles).length===0||!this.image)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,ot.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new p(w,this.image,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let se=this.tiles[ee];se.state!==\"loaded\"&&(se.state=\"loaded\",se.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(w){return a._(this,void 0,void 0,function*(){this.tileID&&this.tileID.equals(w.tileID.canonical)?(this.tiles[String(w.tileID.wrap)]=w,w.buckets={}):w.state=\"errored\"})}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class kt extends Rt{constructor(w,B,Q,ee){super(w,B,Q,ee),this.roundZoom=!0,this.type=\"video\",this.options=B}load(){return a._(this,void 0,void 0,function*(){this._loaded=!1;let w=this.options;this.urls=[];for(let B of w.urls)this.urls.push(this.map._requestManager.transformRequest(B,\"Source\").url);try{let B=yield a.a3(this.urls);if(this._loaded=!0,!B)return;this.video=B,this.video.loop=!0,this.video.addEventListener(\"playing\",()=>{this.map.triggerRepaint()}),this.map&&this.video.play(),this._finishLoading()}catch(B){this.fire(new a.j(B))}})}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(w){if(this.video){let B=this.video.seekable;wB.end(0)?this.fire(new a.j(new a.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${B.start(0)} and ${B.end(0)}-second mark.`))):this.video.currentTime=w}}getVideo(){return this.video}onAdd(w){this.map||(this.map=w,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(Object.keys(this.tiles).length===0||this.video.readyState<2)return;let w=this.map.painter.context,B=w.gl;this.boundsBuffer||(this.boundsBuffer=w.createVertexBuffer(this._boundsArray,ot.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE),B.texSubImage2D(B.TEXTURE_2D,0,0,0,B.RGBA,B.UNSIGNED_BYTE,this.video)):(this.texture=new p(w,this.video,B.RGBA),this.texture.bind(B.LINEAR,B.CLAMP_TO_EDGE));let Q=!1;for(let ee in this.tiles){let se=this.tiles[ee];se.state!==\"loaded\"&&(se.state=\"loaded\",se.texture=this.texture,Q=!0)}Q&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class Ct extends Rt{constructor(w,B,Q,ee){super(w,B,Q,ee),B.coordinates?Array.isArray(B.coordinates)&&B.coordinates.length===4&&!B.coordinates.some(se=>!Array.isArray(se)||se.length!==2||se.some(qe=>typeof qe!=\"number\"))||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"coordinates\"'))),B.animate&&typeof B.animate!=\"boolean\"&&this.fire(new a.j(new a.a2(`sources.${w}`,null,'optional \"animate\" property must be a boolean value'))),B.canvas?typeof B.canvas==\"string\"||B.canvas instanceof HTMLCanvasElement||this.fire(new a.j(new a.a2(`sources.${w}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new a.j(new a.a2(`sources.${w}`,null,'missing required property \"canvas\"'))),this.options=B,this.animate=B.animate===void 0||B.animate}load(){return a._(this,void 0,void 0,function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new a.j(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())})}getCanvas(){return this.canvas}onAdd(w){this.map=w,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let w=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,w=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,w=!0),this._hasInvalidDimensions()||Object.keys(this.tiles).length===0)return;let B=this.map.painter.context,Q=B.gl;this.boundsBuffer||(this.boundsBuffer=B.createVertexBuffer(this._boundsArray,ot.members)),this.boundsSegments||(this.boundsSegments=a.a0.simpleSegment(0,0,4,2)),this.texture?(w||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new p(B,this.canvas,Q.RGBA,{premultiply:!0});let ee=!1;for(let se in this.tiles){let qe=this.tiles[se];qe.state!==\"loaded\"&&(qe.state=\"loaded\",qe.texture=this.texture,ee=!0)}ee&&this.fire(new a.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(let w of[this.canvas.width,this.canvas.height])if(isNaN(w)||w<=0)return!0;return!1}}let Yt={},xr=le=>{switch(le){case\"geojson\":return rt;case\"image\":return Rt;case\"raster\":return ct;case\"raster-dem\":return qt;case\"vector\":return nt;case\"video\":return kt;case\"canvas\":return Ct}return Yt[le]},er=\"RTLPluginLoaded\";class Ke extends a.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=Ae()}_syncState(w){return this.status=w,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:w,pluginURL:this.url}).catch(B=>{throw this.status=\"error\",B})}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(w){return a._(this,arguments,void 0,function*(B,Q=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=u.resolveURL(B),!this.url)throw new Error(`requested url ${B} is invalid`);if(this.status===\"unavailable\"){if(!Q)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(this.status===\"requested\")return this._requestImport()})}_requestImport(){return a._(this,void 0,void 0,function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new a.k(er))})}lazyLoad(){this.status===\"unavailable\"?this.status=\"requested\":this.status===\"deferred\"&&this._requestImport()}}let xt=null;function bt(){return xt||(xt=new Ke),xt}class Lt{constructor(w,B){this.timeAdded=0,this.fadeEndTime=0,this.tileID=w,this.uid=a.a4(),this.uses=0,this.tileSize=B,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(w){let B=w+this.timeAdded;Bse.getLayer(yt)).filter(Boolean);if(it.length!==0){je.layers=it,je.stateDependentLayerIds&&(je.stateDependentLayers=je.stateDependentLayerIds.map(yt=>it.filter(Ot=>Ot.id===yt)[0]));for(let yt of it)qe[yt.id]=je}}return qe}(w.buckets,B.style),this.hasSymbolBuckets=!1;for(let ee in this.buckets){let se=this.buckets[ee];if(se instanceof a.a6){if(this.hasSymbolBuckets=!0,!Q)break;se.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(let ee in this.buckets){let se=this.buckets[ee];if(se instanceof a.a6&&se.hasRTLText){this.hasRTLText=!0,bt().lazyLoad();break}}this.queryPadding=0;for(let ee in this.buckets){let se=this.buckets[ee];this.queryPadding=Math.max(this.queryPadding,B.style.getLayer(ee).queryRadius(se))}w.imageAtlas&&(this.imageAtlas=w.imageAtlas),w.glyphAtlasImage&&(this.glyphAtlasImage=w.glyphAtlasImage)}else this.collisionBoxArray=new a.a5}unloadVectorData(){for(let w in this.buckets)this.buckets[w].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"}getBucket(w){return this.buckets[w.id]}upload(w){for(let Q in this.buckets){let ee=this.buckets[Q];ee.uploadPending()&&ee.upload(w)}let B=w.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new p(w,this.imageAtlas.image,B.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new p(w,this.glyphAtlasImage,B.ALPHA),this.glyphAtlasImage=null)}prepare(w){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(w,this.imageAtlasTexture)}queryRenderedFeatures(w,B,Q,ee,se,qe,je,it,yt,Ot){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:ee,cameraQueryGeometry:se,scale:qe,tileSize:this.tileSize,pixelPosMatrix:Ot,transform:it,params:je,queryPadding:this.queryPadding*yt},w,B,Q):{}}querySourceFeatures(w,B){let Q=this.latestFeatureIndex;if(!Q||!Q.rawTileData)return;let ee=Q.loadVTLayers(),se=B&&B.sourceLayer?B.sourceLayer:\"\",qe=ee._geojsonTileLayer||ee[se];if(!qe)return;let je=a.a7(B&&B.filter),{z:it,x:yt,y:Ot}=this.tileID.canonical,Nt={z:it,x:yt,y:Ot};for(let hr=0;hrQ)ee=!1;else if(B)if(this.expirationTime{this.remove(w,se)},Q)),this.data[ee].push(se),this.order.push(ee),this.order.length>this.max){let qe=this._getAndRemoveByKey(this.order[0]);qe&&this.onRemove(qe)}return this}has(w){return w.wrapped().key in this.data}getAndRemove(w){return this.has(w)?this._getAndRemoveByKey(w.wrapped().key):null}_getAndRemoveByKey(w){let B=this.data[w].shift();return B.timeout&&clearTimeout(B.timeout),this.data[w].length===0&&delete this.data[w],this.order.splice(this.order.indexOf(w),1),B.value}getByKey(w){let B=this.data[w];return B?B[0].value:null}get(w){return this.has(w)?this.data[w.wrapped().key][0].value:null}remove(w,B){if(!this.has(w))return this;let Q=w.wrapped().key,ee=B===void 0?0:this.data[Q].indexOf(B),se=this.data[Q][ee];return this.data[Q].splice(ee,1),se.timeout&&clearTimeout(se.timeout),this.data[Q].length===0&&delete this.data[Q],this.onRemove(se.value),this.order.splice(this.order.indexOf(Q),1),this}setMaxSize(w){for(this.max=w;this.order.length>this.max;){let B=this._getAndRemoveByKey(this.order[0]);B&&this.onRemove(B)}return this}filter(w){let B=[];for(let Q in this.data)for(let ee of this.data[Q])w(ee.value)||B.push(ee);for(let Q of B)this.remove(Q.value.tileID,Q)}}class Et{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(w,B,Q){let ee=String(B);if(this.stateChanges[w]=this.stateChanges[w]||{},this.stateChanges[w][ee]=this.stateChanges[w][ee]||{},a.e(this.stateChanges[w][ee],Q),this.deletedStates[w]===null){this.deletedStates[w]={};for(let se in this.state[w])se!==ee&&(this.deletedStates[w][se]=null)}else if(this.deletedStates[w]&&this.deletedStates[w][ee]===null){this.deletedStates[w][ee]={};for(let se in this.state[w][ee])Q[se]||(this.deletedStates[w][ee][se]=null)}else for(let se in Q)this.deletedStates[w]&&this.deletedStates[w][ee]&&this.deletedStates[w][ee][se]===null&&delete this.deletedStates[w][ee][se]}removeFeatureState(w,B,Q){if(this.deletedStates[w]===null)return;let ee=String(B);if(this.deletedStates[w]=this.deletedStates[w]||{},Q&&B!==void 0)this.deletedStates[w][ee]!==null&&(this.deletedStates[w][ee]=this.deletedStates[w][ee]||{},this.deletedStates[w][ee][Q]=null);else if(B!==void 0)if(this.stateChanges[w]&&this.stateChanges[w][ee])for(Q in this.deletedStates[w][ee]={},this.stateChanges[w][ee])this.deletedStates[w][ee][Q]=null;else this.deletedStates[w][ee]=null;else this.deletedStates[w]=null}getState(w,B){let Q=String(B),ee=a.e({},(this.state[w]||{})[Q],(this.stateChanges[w]||{})[Q]);if(this.deletedStates[w]===null)return{};if(this.deletedStates[w]){let se=this.deletedStates[w][B];if(se===null)return{};for(let qe in se)delete ee[qe]}return ee}initializeTileState(w,B){w.setFeatureState(this.state,B)}coalesceChanges(w,B){let Q={};for(let ee in this.stateChanges){this.state[ee]=this.state[ee]||{};let se={};for(let qe in this.stateChanges[ee])this.state[ee][qe]||(this.state[ee][qe]={}),a.e(this.state[ee][qe],this.stateChanges[ee][qe]),se[qe]=this.state[ee][qe];Q[ee]=se}for(let ee in this.deletedStates){this.state[ee]=this.state[ee]||{};let se={};if(this.deletedStates[ee]===null)for(let qe in this.state[ee])se[qe]={},this.state[ee][qe]={};else for(let qe in this.deletedStates[ee]){if(this.deletedStates[ee][qe]===null)this.state[ee][qe]={};else for(let je of Object.keys(this.deletedStates[ee][qe]))delete this.state[ee][qe][je];se[qe]=this.state[ee][qe]}Q[ee]=Q[ee]||{},a.e(Q[ee],se)}if(this.stateChanges={},this.deletedStates={},Object.keys(Q).length!==0)for(let ee in w)w[ee].setFeatureState(Q,B)}}class dt extends a.E{constructor(w,B,Q){super(),this.id=w,this.dispatcher=Q,this.on(\"data\",ee=>this._dataHandler(ee)),this.on(\"dataloading\",()=>{this._sourceErrored=!1}),this.on(\"error\",()=>{this._sourceErrored=this._source.loaded()}),this._source=((ee,se,qe,je)=>{let it=new(xr(se.type))(ee,se,qe,je);if(it.id!==ee)throw new Error(`Expected Source id to be ${ee} instead of ${it.id}`);return it})(w,B,Q,this),this._tiles={},this._cache=new St(0,ee=>this._unloadTile(ee)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new Et,this._didEmitContent=!1,this._updated=!1}onAdd(w){this.map=w,this._maxTileCacheSize=w?w._maxTileCacheSize:null,this._maxTileCacheZoomLevels=w?w._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(w)}onRemove(w){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(w)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded||!this._source.loaded())return!1;if(!(this.used===void 0&&this.usedForTerrain===void 0||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(let w in this._tiles){let B=this._tiles[w];if(B.state!==\"loaded\"&&B.state!==\"errored\")return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;let w=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,w&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(w,B,Q){return a._(this,void 0,void 0,function*(){try{yield this._source.loadTile(w),this._tileLoaded(w,B,Q)}catch(ee){w.state=\"errored\",ee.status!==404?this._source.fire(new a.j(ee,{tile:w})):this.update(this.transform,this.terrain)}})}_unloadTile(w){this._source.unloadTile&&this._source.unloadTile(w)}_abortTile(w){this._source.abortTile&&this._source.abortTile(w),this._source.fire(new a.k(\"dataabort\",{tile:w,coord:w.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(w){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(let B in this._tiles){let Q=this._tiles[B];Q.upload(w),Q.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map(w=>w.tileID).sort(Ht).map(w=>w.key)}getRenderableIds(w){let B=[];for(let Q in this._tiles)this._isIdRenderable(Q,w)&&B.push(this._tiles[Q]);return w?B.sort((Q,ee)=>{let se=Q.tileID,qe=ee.tileID,je=new a.P(se.canonical.x,se.canonical.y)._rotate(this.transform.angle),it=new a.P(qe.canonical.x,qe.canonical.y)._rotate(this.transform.angle);return se.overscaledZ-qe.overscaledZ||it.y-je.y||it.x-je.x}).map(Q=>Q.tileID.key):B.map(Q=>Q.tileID).sort(Ht).map(Q=>Q.key)}hasRenderableParent(w){let B=this.findLoadedParent(w,0);return!!B&&this._isIdRenderable(B.tileID.key)}_isIdRenderable(w,B){return this._tiles[w]&&this._tiles[w].hasData()&&!this._coveredTiles[w]&&(B||!this._tiles[w].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(let w in this._tiles)this._tiles[w].state!==\"errored\"&&this._reloadTile(w,\"reloading\")}}_reloadTile(w,B){return a._(this,void 0,void 0,function*(){let Q=this._tiles[w];Q&&(Q.state!==\"loading\"&&(Q.state=B),yield this._loadTile(Q,w,B))})}_tileLoaded(w,B,Q){w.timeAdded=u.now(),Q===\"expired\"&&(w.refreshedUponExpiration=!0),this._setTileReloadTimer(B,w),this.getSource().type===\"raster-dem\"&&w.dem&&this._backfillDEM(w),this._state.initializeTileState(w,this.map?this.map.painter:null),w.aborted||this._source.fire(new a.k(\"data\",{dataType:\"source\",tile:w,coord:w.tileID}))}_backfillDEM(w){let B=this.getRenderableIds();for(let ee=0;ee1||(Math.abs(qe)>1&&(Math.abs(qe+it)===1?qe+=it:Math.abs(qe-it)===1&&(qe-=it)),se.dem&&ee.dem&&(ee.dem.backfillBorder(se.dem,qe,je),ee.neighboringTiles&&ee.neighboringTiles[yt]&&(ee.neighboringTiles[yt].backfilled=!0)))}}getTile(w){return this.getTileByID(w.key)}getTileByID(w){return this._tiles[w]}_retainLoadedChildren(w,B,Q,ee){for(let se in this._tiles){let qe=this._tiles[se];if(ee[se]||!qe.hasData()||qe.tileID.overscaledZ<=B||qe.tileID.overscaledZ>Q)continue;let je=qe.tileID;for(;qe&&qe.tileID.overscaledZ>B+1;){let yt=qe.tileID.scaledTo(qe.tileID.overscaledZ-1);qe=this._tiles[yt.key],qe&&qe.hasData()&&(je=yt)}let it=je;for(;it.overscaledZ>B;)if(it=it.scaledTo(it.overscaledZ-1),w[it.key]){ee[je.key]=je;break}}}findLoadedParent(w,B){if(w.key in this._loadedParentTiles){let Q=this._loadedParentTiles[w.key];return Q&&Q.tileID.overscaledZ>=B?Q:null}for(let Q=w.overscaledZ-1;Q>=B;Q--){let ee=w.scaledTo(Q),se=this._getLoadedTile(ee);if(se)return se}}findLoadedSibling(w){return this._getLoadedTile(w)}_getLoadedTile(w){let B=this._tiles[w.key];return B&&B.hasData()?B:this._cache.getByKey(w.wrapped().key)}updateCacheSize(w){let B=Math.ceil(w.width/this._source.tileSize)+1,Q=Math.ceil(w.height/this._source.tileSize)+1,ee=Math.floor(B*Q*(this._maxTileCacheZoomLevels===null?a.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels)),se=typeof this._maxTileCacheSize==\"number\"?Math.min(this._maxTileCacheSize,ee):ee;this._cache.setMaxSize(se)}handleWrapJump(w){let B=Math.round((w-(this._prevLng===void 0?w:this._prevLng))/360);if(this._prevLng=w,B){let Q={};for(let ee in this._tiles){let se=this._tiles[ee];se.tileID=se.tileID.unwrapTo(se.tileID.wrap+B),Q[se.tileID.key]=se}this._tiles=Q;for(let ee in this._timers)clearTimeout(this._timers[ee]),delete this._timers[ee];for(let ee in this._tiles)this._setTileReloadTimer(ee,this._tiles[ee])}}_updateCoveredAndRetainedTiles(w,B,Q,ee,se,qe){let je={},it={},yt=Object.keys(w),Ot=u.now();for(let Nt of yt){let hr=w[Nt],Sr=this._tiles[Nt];if(!Sr||Sr.fadeEndTime!==0&&Sr.fadeEndTime<=Ot)continue;let he=this.findLoadedParent(hr,B),be=this.findLoadedSibling(hr),Pe=he||be||null;Pe&&(this._addTile(Pe.tileID),je[Pe.tileID.key]=Pe.tileID),it[Nt]=hr}this._retainLoadedChildren(it,ee,Q,w);for(let Nt in je)w[Nt]||(this._coveredTiles[Nt]=!0,w[Nt]=je[Nt]);if(qe){let Nt={},hr={};for(let Sr of se)this._tiles[Sr.key].hasData()?Nt[Sr.key]=Sr:hr[Sr.key]=Sr;for(let Sr in hr){let he=hr[Sr].children(this._source.maxzoom);this._tiles[he[0].key]&&this._tiles[he[1].key]&&this._tiles[he[2].key]&&this._tiles[he[3].key]&&(Nt[he[0].key]=w[he[0].key]=he[0],Nt[he[1].key]=w[he[1].key]=he[1],Nt[he[2].key]=w[he[2].key]=he[2],Nt[he[3].key]=w[he[3].key]=he[3],delete hr[Sr])}for(let Sr in hr){let he=hr[Sr],be=this.findLoadedParent(he,this._source.minzoom),Pe=this.findLoadedSibling(he),Oe=be||Pe||null;if(Oe){Nt[Oe.tileID.key]=w[Oe.tileID.key]=Oe.tileID;for(let Je in Nt)Nt[Je].isChildOf(Oe.tileID)&&delete Nt[Je]}}for(let Sr in this._tiles)Nt[Sr]||(this._coveredTiles[Sr]=!0)}}update(w,B){if(!this._sourceLoaded||this._paused)return;let Q;this.transform=w,this.terrain=B,this.updateCacheSize(w),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?Q=w.getVisibleUnwrappedCoordinates(this._source.tileID).map(Ot=>new a.S(Ot.canonical.z,Ot.wrap,Ot.canonical.z,Ot.canonical.x,Ot.canonical.y)):(Q=w.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:B}),this._source.hasTile&&(Q=Q.filter(Ot=>this._source.hasTile(Ot)))):Q=[];let ee=w.coveringZoomLevel(this._source),se=Math.max(ee-dt.maxOverzooming,this._source.minzoom),qe=Math.max(ee+dt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){let Ot={};for(let Nt of Q)if(Nt.canonical.z>this._source.minzoom){let hr=Nt.scaledTo(Nt.canonical.z-1);Ot[hr.key]=hr;let Sr=Nt.scaledTo(Math.max(this._source.minzoom,Math.min(Nt.canonical.z,5)));Ot[Sr.key]=Sr}Q=Q.concat(Object.values(Ot))}let je=Q.length===0&&!this._updated&&this._didEmitContent;this._updated=!0,je&&this.fire(new a.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));let it=this._updateRetainedTiles(Q,ee);$t(this._source.type)&&this._updateCoveredAndRetainedTiles(it,se,qe,ee,Q,B);for(let Ot in it)this._tiles[Ot].clearFadeHold();let yt=a.ab(this._tiles,it);for(let Ot of yt){let Nt=this._tiles[Ot];Nt.hasSymbolBuckets&&!Nt.holdingForFade()?Nt.setHoldDuration(this.map._fadeDuration):Nt.hasSymbolBuckets&&!Nt.symbolFadeFinished()||this._removeTile(Ot)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(let w in this._tiles)this._tiles[w].holdingForFade()&&this._removeTile(w)}_updateRetainedTiles(w,B){var Q;let ee={},se={},qe=Math.max(B-dt.maxOverzooming,this._source.minzoom),je=Math.max(B+dt.maxUnderzooming,this._source.minzoom),it={};for(let yt of w){let Ot=this._addTile(yt);ee[yt.key]=yt,Ot.hasData()||Bthis._source.maxzoom){let hr=yt.children(this._source.maxzoom)[0],Sr=this.getTile(hr);if(Sr&&Sr.hasData()){ee[hr.key]=hr;continue}}else{let hr=yt.children(this._source.maxzoom);if(ee[hr[0].key]&&ee[hr[1].key]&&ee[hr[2].key]&&ee[hr[3].key])continue}let Nt=Ot.wasRequested();for(let hr=yt.overscaledZ-1;hr>=qe;--hr){let Sr=yt.scaledTo(hr);if(se[Sr.key])break;if(se[Sr.key]=!0,Ot=this.getTile(Sr),!Ot&&Nt&&(Ot=this._addTile(Sr)),Ot){let he=Ot.hasData();if((he||!(!((Q=this.map)===null||Q===void 0)&&Q.cancelPendingTileRequestsWhileZooming)||Nt)&&(ee[Sr.key]=Sr),Nt=Ot.wasRequested(),he)break}}}return ee}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(let w in this._tiles){let B=[],Q,ee=this._tiles[w].tileID;for(;ee.overscaledZ>0;){if(ee.key in this._loadedParentTiles){Q=this._loadedParentTiles[ee.key];break}B.push(ee.key);let se=ee.scaledTo(ee.overscaledZ-1);if(Q=this._getLoadedTile(se),Q)break;ee=se}for(let se of B)this._loadedParentTiles[se]=Q}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(let w in this._tiles){let B=this._tiles[w].tileID,Q=this._getLoadedTile(B);this._loadedSiblingTiles[B.key]=Q}}_addTile(w){let B=this._tiles[w.key];if(B)return B;B=this._cache.getAndRemove(w),B&&(this._setTileReloadTimer(w.key,B),B.tileID=w,this._state.initializeTileState(B,this.map?this.map.painter:null),this._cacheTimers[w.key]&&(clearTimeout(this._cacheTimers[w.key]),delete this._cacheTimers[w.key],this._setTileReloadTimer(w.key,B)));let Q=B;return B||(B=new Lt(w,this._source.tileSize*w.overscaleFactor()),this._loadTile(B,w.key,B.state)),B.uses++,this._tiles[w.key]=B,Q||this._source.fire(new a.k(\"dataloading\",{tile:B,coord:B.tileID,dataType:\"source\"})),B}_setTileReloadTimer(w,B){w in this._timers&&(clearTimeout(this._timers[w]),delete this._timers[w]);let Q=B.getExpiryTimeout();Q&&(this._timers[w]=setTimeout(()=>{this._reloadTile(w,\"expired\"),delete this._timers[w]},Q))}_removeTile(w){let B=this._tiles[w];B&&(B.uses--,delete this._tiles[w],this._timers[w]&&(clearTimeout(this._timers[w]),delete this._timers[w]),B.uses>0||(B.hasData()&&B.state!==\"reloading\"?this._cache.add(B.tileID,B,B.getExpiryTimeout()):(B.aborted=!0,this._abortTile(B),this._unloadTile(B))))}_dataHandler(w){let B=w.sourceDataType;w.dataType===\"source\"&&B===\"metadata\"&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&w.dataType===\"source\"&&B===\"content\"&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(let w in this._tiles)this._removeTile(w);this._cache.reset()}tilesIn(w,B,Q){let ee=[],se=this.transform;if(!se)return ee;let qe=Q?se.getCameraQueryGeometry(w):w,je=w.map(he=>se.pointCoordinate(he,this.terrain)),it=qe.map(he=>se.pointCoordinate(he,this.terrain)),yt=this.getIds(),Ot=1/0,Nt=1/0,hr=-1/0,Sr=-1/0;for(let he of it)Ot=Math.min(Ot,he.x),Nt=Math.min(Nt,he.y),hr=Math.max(hr,he.x),Sr=Math.max(Sr,he.y);for(let he=0;he=0&&He[1].y+Je>=0){let et=je.map(Dt=>Pe.getTilePoint(Dt)),Mt=it.map(Dt=>Pe.getTilePoint(Dt));ee.push({tile:be,tileID:Pe,queryGeometry:et,cameraQueryGeometry:Mt,scale:Oe})}}return ee}getVisibleCoordinates(w){let B=this.getRenderableIds(w).map(Q=>this._tiles[Q].tileID);for(let Q of B)Q.posMatrix=this.transform.calculatePosMatrix(Q.toUnwrapped());return B}hasTransition(){if(this._source.hasTransition())return!0;if($t(this._source.type)){let w=u.now();for(let B in this._tiles)if(this._tiles[B].fadeEndTime>=w)return!0}return!1}setFeatureState(w,B,Q){this._state.updateState(w=w||\"_geojsonTileLayer\",B,Q)}removeFeatureState(w,B,Q){this._state.removeFeatureState(w=w||\"_geojsonTileLayer\",B,Q)}getFeatureState(w,B){return this._state.getState(w=w||\"_geojsonTileLayer\",B)}setDependencies(w,B,Q){let ee=this._tiles[w];ee&&ee.setDependencies(B,Q)}reloadTilesForDependencies(w,B){for(let Q in this._tiles)this._tiles[Q].hasDependency(w,B)&&this._reloadTile(Q,\"reloading\");this._cache.filter(Q=>!Q.hasDependency(w,B))}}function Ht(le,w){let B=Math.abs(2*le.wrap)-+(le.wrap<0),Q=Math.abs(2*w.wrap)-+(w.wrap<0);return le.overscaledZ-w.overscaledZ||Q-B||w.canonical.y-le.canonical.y||w.canonical.x-le.canonical.x}function $t(le){return le===\"raster\"||le===\"image\"||le===\"video\"}dt.maxOverzooming=10,dt.maxUnderzooming=3;class fr{constructor(w,B){this.reset(w,B)}reset(w,B){this.points=w||[],this._distances=[0];for(let Q=1;Q0?(ee-qe)/je:0;return this.points[se].mult(1-it).add(this.points[B].mult(it))}}function _r(le,w){let B=!0;return le===\"always\"||le!==\"never\"&&w!==\"never\"||(B=!1),B}class Br{constructor(w,B,Q){let ee=this.boxCells=[],se=this.circleCells=[];this.xCellCount=Math.ceil(w/Q),this.yCellCount=Math.ceil(B/Q);for(let qe=0;qethis.width||ee<0||B>this.height)return[];let it=[];if(w<=0&&B<=0&&this.width<=Q&&this.height<=ee){if(se)return[{key:null,x1:w,y1:B,x2:Q,y2:ee}];for(let yt=0;yt0}hitTestCircle(w,B,Q,ee,se){let qe=w-Q,je=w+Q,it=B-Q,yt=B+Q;if(je<0||qe>this.width||yt<0||it>this.height)return!1;let Ot=[];return this._forEachCell(qe,it,je,yt,this._queryCellCircle,Ot,{hitTest:!0,overlapMode:ee,circle:{x:w,y:B,radius:Q},seenUids:{box:{},circle:{}}},se),Ot.length>0}_queryCell(w,B,Q,ee,se,qe,je,it){let{seenUids:yt,hitTest:Ot,overlapMode:Nt}=je,hr=this.boxCells[se];if(hr!==null){let he=this.bboxes;for(let be of hr)if(!yt.box[be]){yt.box[be]=!0;let Pe=4*be,Oe=this.boxKeys[be];if(w<=he[Pe+2]&&B<=he[Pe+3]&&Q>=he[Pe+0]&&ee>=he[Pe+1]&&(!it||it(Oe))&&(!Ot||!_r(Nt,Oe.overlapMode))&&(qe.push({key:Oe,x1:he[Pe],y1:he[Pe+1],x2:he[Pe+2],y2:he[Pe+3]}),Ot))return!0}}let Sr=this.circleCells[se];if(Sr!==null){let he=this.circles;for(let be of Sr)if(!yt.circle[be]){yt.circle[be]=!0;let Pe=3*be,Oe=this.circleKeys[be];if(this._circleAndRectCollide(he[Pe],he[Pe+1],he[Pe+2],w,B,Q,ee)&&(!it||it(Oe))&&(!Ot||!_r(Nt,Oe.overlapMode))){let Je=he[Pe],He=he[Pe+1],et=he[Pe+2];if(qe.push({key:Oe,x1:Je-et,y1:He-et,x2:Je+et,y2:He+et}),Ot)return!0}}}return!1}_queryCellCircle(w,B,Q,ee,se,qe,je,it){let{circle:yt,seenUids:Ot,overlapMode:Nt}=je,hr=this.boxCells[se];if(hr!==null){let he=this.bboxes;for(let be of hr)if(!Ot.box[be]){Ot.box[be]=!0;let Pe=4*be,Oe=this.boxKeys[be];if(this._circleAndRectCollide(yt.x,yt.y,yt.radius,he[Pe+0],he[Pe+1],he[Pe+2],he[Pe+3])&&(!it||it(Oe))&&!_r(Nt,Oe.overlapMode))return qe.push(!0),!0}}let Sr=this.circleCells[se];if(Sr!==null){let he=this.circles;for(let be of Sr)if(!Ot.circle[be]){Ot.circle[be]=!0;let Pe=3*be,Oe=this.circleKeys[be];if(this._circlesCollide(he[Pe],he[Pe+1],he[Pe+2],yt.x,yt.y,yt.radius)&&(!it||it(Oe))&&!_r(Nt,Oe.overlapMode))return qe.push(!0),!0}}}_forEachCell(w,B,Q,ee,se,qe,je,it){let yt=this._convertToXCellCoord(w),Ot=this._convertToYCellCoord(B),Nt=this._convertToXCellCoord(Q),hr=this._convertToYCellCoord(ee);for(let Sr=yt;Sr<=Nt;Sr++)for(let he=Ot;he<=hr;he++)if(se.call(this,w,B,Q,ee,this.xCellCount*he+Sr,qe,je,it))return}_convertToXCellCoord(w){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(w*this.xScale)))}_convertToYCellCoord(w){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(w*this.yScale)))}_circlesCollide(w,B,Q,ee,se,qe){let je=ee-w,it=se-B,yt=Q+qe;return yt*yt>je*je+it*it}_circleAndRectCollide(w,B,Q,ee,se,qe,je){let it=(qe-ee)/2,yt=Math.abs(w-(ee+it));if(yt>it+Q)return!1;let Ot=(je-se)/2,Nt=Math.abs(B-(se+Ot));if(Nt>Ot+Q)return!1;if(yt<=it||Nt<=Ot)return!0;let hr=yt-it,Sr=Nt-Ot;return hr*hr+Sr*Sr<=Q*Q}}function Or(le,w,B,Q,ee){let se=a.H();return w?(a.K(se,se,[1/ee,1/ee,1]),B||a.ad(se,se,Q.angle)):a.L(se,Q.labelPlaneMatrix,le),se}function Nr(le,w,B,Q,ee){if(w){let se=a.ae(le);return a.K(se,se,[ee,ee,1]),B||a.ad(se,se,-Q.angle),se}return Q.glCoordMatrix}function ut(le,w,B,Q){let ee;Q?(ee=[le,w,Q(le,w),1],a.af(ee,ee,B)):(ee=[le,w,0,1],jr(ee,ee,B));let se=ee[3];return{point:new a.P(ee[0]/se,ee[1]/se),signedDistanceFromCamera:se,isOccluded:!1}}function Ne(le,w){return .5+le/w*.5}function Ye(le,w){return le.x>=-w[0]&&le.x<=w[0]&&le.y>=-w[1]&&le.y<=w[1]}function Ve(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr,he){let be=Q?le.textSizeData:le.iconSizeData,Pe=a.ag(be,B.transform.zoom),Oe=[256/B.width*2+1,256/B.height*2+1],Je=Q?le.text.dynamicLayoutVertexArray:le.icon.dynamicLayoutVertexArray;Je.clear();let He=le.lineVertexArray,et=Q?le.text.placedSymbolArray:le.icon.placedSymbolArray,Mt=B.transform.width/B.transform.height,Dt=!1;for(let Ut=0;UtMath.abs(B.x-w.x)*Q?{useVertical:!0}:(le===a.ah.vertical?w.yB.x)?{needsFlipping:!0}:null}function Le(le,w,B,Q,ee,se,qe,je,it,yt,Ot){let Nt=B/24,hr=w.lineOffsetX*Nt,Sr=w.lineOffsetY*Nt,he;if(w.numGlyphs>1){let be=w.glyphStartIndex+w.numGlyphs,Pe=w.lineStartIndex,Oe=w.lineStartIndex+w.lineLength,Je=Xe(Nt,je,hr,Sr,Q,w,Ot,le);if(!Je)return{notEnoughRoom:!0};let He=ut(Je.first.point.x,Je.first.point.y,qe,le.getElevation).point,et=ut(Je.last.point.x,Je.last.point.y,qe,le.getElevation).point;if(ee&&!Q){let Mt=ht(w.writingMode,He,et,yt);if(Mt)return Mt}he=[Je.first];for(let Mt=w.glyphStartIndex+1;Mt0?He.point:function(Dt,Ut,tr,mr,Rr,zr){return xe(Dt,Ut,tr,1,Rr,zr)}(le.tileAnchorPoint,Je,Pe,0,se,le),Mt=ht(w.writingMode,Pe,et,yt);if(Mt)return Mt}let be=ar(Nt*je.getoffsetX(w.glyphStartIndex),hr,Sr,Q,w.segment,w.lineStartIndex,w.lineStartIndex+w.lineLength,le,Ot);if(!be||le.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};he=[be]}for(let be of he)a.aj(it,be.point,be.angle);return{}}function xe(le,w,B,Q,ee,se){let qe=le.add(le.sub(w)._unit()),je=ee!==void 0?ut(qe.x,qe.y,ee,se.getElevation).point:lt(qe.x,qe.y,se).point,it=B.sub(je);return B.add(it._mult(Q/it.mag()))}function Se(le,w,B){let Q=w.projectionCache;if(Q.projections[le])return Q.projections[le];let ee=new a.P(w.lineVertexArray.getx(le),w.lineVertexArray.gety(le)),se=lt(ee.x,ee.y,w);if(se.signedDistanceFromCamera>0)return Q.projections[le]=se.point,Q.anyProjectionOccluded=Q.anyProjectionOccluded||se.isOccluded,se.point;let qe=le-B.direction;return function(je,it,yt,Ot,Nt){return xe(je,it,yt,Ot,void 0,Nt)}(B.distanceFromAnchor===0?w.tileAnchorPoint:new a.P(w.lineVertexArray.getx(qe),w.lineVertexArray.gety(qe)),ee,B.previousVertex,B.absOffsetX-B.distanceFromAnchor+1,w)}function lt(le,w,B){let Q=le+B.translation[0],ee=w+B.translation[1],se;return!B.pitchWithMap&&B.projection.useSpecialProjectionForSymbols?(se=B.projection.projectTileCoordinates(Q,ee,B.unwrappedTileID,B.getElevation),se.point.x=(.5*se.point.x+.5)*B.width,se.point.y=(.5*-se.point.y+.5)*B.height):(se=ut(Q,ee,B.labelPlaneMatrix,B.getElevation),se.isOccluded=!1),se}function Gt(le,w,B){return le._unit()._perp()._mult(w*B)}function Vt(le,w,B,Q,ee,se,qe,je,it){if(je.projectionCache.offsets[le])return je.projectionCache.offsets[le];let yt=B.add(w);if(le+it.direction=ee)return je.projectionCache.offsets[le]=yt,yt;let Ot=Se(le+it.direction,je,it),Nt=Gt(Ot.sub(B),qe,it.direction),hr=B.add(Nt),Sr=Ot.add(Nt);return je.projectionCache.offsets[le]=a.ak(se,yt,hr,Sr)||yt,je.projectionCache.offsets[le]}function ar(le,w,B,Q,ee,se,qe,je,it){let yt=Q?le-w:le+w,Ot=yt>0?1:-1,Nt=0;Q&&(Ot*=-1,Nt=Math.PI),Ot<0&&(Nt+=Math.PI);let hr,Sr=Ot>0?se+ee:se+ee+1;je.projectionCache.cachedAnchorPoint?hr=je.projectionCache.cachedAnchorPoint:(hr=lt(je.tileAnchorPoint.x,je.tileAnchorPoint.y,je).point,je.projectionCache.cachedAnchorPoint=hr);let he,be,Pe=hr,Oe=hr,Je=0,He=0,et=Math.abs(yt),Mt=[],Dt;for(;Je+He<=et;){if(Sr+=Ot,Sr=qe)return null;Je+=He,Oe=Pe,be=he;let mr={absOffsetX:et,direction:Ot,distanceFromAnchor:Je,previousVertex:Oe};if(Pe=Se(Sr,je,mr),B===0)Mt.push(Oe),Dt=Pe.sub(Oe);else{let Rr,zr=Pe.sub(Oe);Rr=zr.mag()===0?Gt(Se(Sr+Ot,je,mr).sub(Pe),B,Ot):Gt(zr,B,Ot),be||(be=Oe.add(Rr)),he=Vt(Sr,Rr,Pe,se,qe,be,B,je,mr),Mt.push(be),Dt=he.sub(be)}He=Dt.mag()}let Ut=Dt._mult((et-Je)/He)._add(be||Oe),tr=Nt+Math.atan2(Pe.y-Oe.y,Pe.x-Oe.x);return Mt.push(Ut),{point:Ut,angle:it?tr:0,path:Mt}}let Qr=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ai(le,w){for(let B=0;B=1;ea--)Qi.push(Li.path[ea]);for(let ea=1;eaGa.signedDistanceFromCamera<=0)?[]:ea.map(Ga=>Ga.point)}let pa=[];if(Qi.length>0){let ea=Qi[0].clone(),Ga=Qi[0].clone();for(let To=1;To=zr.x&&Ga.x<=Xr.x&&ea.y>=zr.y&&Ga.y<=Xr.y?[Qi]:Ga.xXr.x||Ga.yXr.y?[]:a.al([Qi],zr.x,zr.y,Xr.x,Xr.y)}for(let ea of pa){di.reset(ea,.25*Rr);let Ga=0;Ga=di.length<=.5*Rr?1:Math.ceil(di.paddedLength/Mn)+1;for(let To=0;Tout(ee.x,ee.y,Q,B.getElevation))}queryRenderedSymbols(w){if(w.length===0||this.grid.keysLength()===0&&this.ignoredGrid.keysLength()===0)return{};let B=[],Q=1/0,ee=1/0,se=-1/0,qe=-1/0;for(let Ot of w){let Nt=new a.P(Ot.x+ri,Ot.y+ri);Q=Math.min(Q,Nt.x),ee=Math.min(ee,Nt.y),se=Math.max(se,Nt.x),qe=Math.max(qe,Nt.y),B.push(Nt)}let je=this.grid.query(Q,ee,se,qe).concat(this.ignoredGrid.query(Q,ee,se,qe)),it={},yt={};for(let Ot of je){let Nt=Ot.key;if(it[Nt.bucketInstanceId]===void 0&&(it[Nt.bucketInstanceId]={}),it[Nt.bucketInstanceId][Nt.featureIndex])continue;let hr=[new a.P(Ot.x1,Ot.y1),new a.P(Ot.x2,Ot.y1),new a.P(Ot.x2,Ot.y2),new a.P(Ot.x1,Ot.y2)];a.am(B,hr)&&(it[Nt.bucketInstanceId][Nt.featureIndex]=!0,yt[Nt.bucketInstanceId]===void 0&&(yt[Nt.bucketInstanceId]=[]),yt[Nt.bucketInstanceId].push(Nt.featureIndex))}return yt}insertCollisionBox(w,B,Q,ee,se,qe){(Q?this.ignoredGrid:this.grid).insert({bucketInstanceId:ee,featureIndex:se,collisionGroupID:qe,overlapMode:B},w[0],w[1],w[2],w[3])}insertCollisionCircles(w,B,Q,ee,se,qe){let je=Q?this.ignoredGrid:this.grid,it={bucketInstanceId:ee,featureIndex:se,collisionGroupID:qe,overlapMode:B};for(let yt=0;yt=this.screenRightBoundary||eethis.screenBottomBoundary}isInsideGrid(w,B,Q,ee){return Q>=0&&w=0&&Bthis.projectAndGetPerspectiveRatio(Q,Rr.x,Rr.y,ee,yt));tr=mr.some(Rr=>!Rr.isOccluded),Ut=mr.map(Rr=>Rr.point)}else tr=!0;return{box:a.ao(Ut),allPointsOccluded:!tr}}}function nn(le,w,B){return w*(a.X/(le.tileSize*Math.pow(2,B-le.tileID.overscaledZ)))}class Wi{constructor(w,B,Q,ee){this.opacity=w?Math.max(0,Math.min(1,w.opacity+(w.placed?B:-B))):ee&&Q?1:0,this.placed=Q}isHidden(){return this.opacity===0&&!this.placed}}class Ni{constructor(w,B,Q,ee,se){this.text=new Wi(w?w.text:null,B,Q,se),this.icon=new Wi(w?w.icon:null,B,ee,se)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class _n{constructor(w,B,Q){this.text=w,this.icon=B,this.skipFade=Q}}class $i{constructor(){this.invProjMatrix=a.H(),this.viewportMatrix=a.H(),this.circles=[]}}class zn{constructor(w,B,Q,ee,se){this.bucketInstanceId=w,this.featureIndex=B,this.sourceLayerIndex=Q,this.bucketIndex=ee,this.tileID=se}}class Wn{constructor(w){this.crossSourceCollisions=w,this.maxGroupID=0,this.collisionGroups={}}get(w){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[w]){let B=++this.maxGroupID;this.collisionGroups[w]={ID:B,predicate:Q=>Q.collisionGroupID===B}}return this.collisionGroups[w]}}function It(le,w,B,Q,ee){let{horizontalAlign:se,verticalAlign:qe}=a.au(le);return new a.P(-(se-.5)*w+Q[0]*ee,-(qe-.5)*B+Q[1]*ee)}class ft{constructor(w,B,Q,ee,se,qe){this.transform=w.clone(),this.terrain=Q,this.collisionIndex=new bi(this.transform,B),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=ee,this.retainedQueryData={},this.collisionGroups=new Wn(se),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=qe,qe&&(qe.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(w){let B=this.terrain;return B?(Q,ee)=>B.getElevation(w,Q,ee):null}getBucketParts(w,B,Q,ee){let se=Q.getBucket(B),qe=Q.latestFeatureIndex;if(!se||!qe||B.id!==se.layerIds[0])return;let je=Q.collisionBoxArray,it=se.layers[0].layout,yt=se.layers[0].paint,Ot=Math.pow(2,this.transform.zoom-Q.tileID.overscaledZ),Nt=Q.tileSize/a.X,hr=Q.tileID.toUnwrapped(),Sr=this.transform.calculatePosMatrix(hr),he=it.get(\"text-pitch-alignment\")===\"map\",be=it.get(\"text-rotation-alignment\")===\"map\",Pe=nn(Q,1,this.transform.zoom),Oe=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,yt.get(\"text-translate\"),yt.get(\"text-translate-anchor\")),Je=this.collisionIndex.mapProjection.translatePosition(this.transform,Q,yt.get(\"icon-translate\"),yt.get(\"icon-translate-anchor\")),He=Or(Sr,he,be,this.transform,Pe),et=null;if(he){let Dt=Nr(Sr,he,be,this.transform,Pe);et=a.L([],this.transform.labelPlaneMatrix,Dt)}this.retainedQueryData[se.bucketInstanceId]=new zn(se.bucketInstanceId,qe,se.sourceLayerIndex,se.index,Q.tileID);let Mt={bucket:se,layout:it,translationText:Oe,translationIcon:Je,posMatrix:Sr,unwrappedTileID:hr,textLabelPlaneMatrix:He,labelToScreenMatrix:et,scale:Ot,textPixelRatio:Nt,holdingForFade:Q.holdingForFade(),collisionBoxArray:je,partiallyEvaluatedTextSize:a.ag(se.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(se.sourceID)};if(ee)for(let Dt of se.sortKeyRanges){let{sortKey:Ut,symbolInstanceStart:tr,symbolInstanceEnd:mr}=Dt;w.push({sortKey:Ut,symbolInstanceStart:tr,symbolInstanceEnd:mr,parameters:Mt})}else w.push({symbolInstanceStart:0,symbolInstanceEnd:se.symbolInstances.length,parameters:Mt})}attemptAnchorPlacement(w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr,he,be,Pe,Oe,Je,He){let et=a.aq[w.textAnchor],Mt=[w.textOffset0,w.textOffset1],Dt=It(et,Q,ee,Mt,se),Ut=this.collisionIndex.placeCollisionBox(B,hr,it,yt,Ot,je,qe,Pe,Nt.predicate,He,Dt);if((!Je||this.collisionIndex.placeCollisionBox(Je,hr,it,yt,Ot,je,qe,Oe,Nt.predicate,He,Dt).placeable)&&Ut.placeable){let tr;if(this.prevPlacement&&this.prevPlacement.variableOffsets[Sr.crossTileID]&&this.prevPlacement.placements[Sr.crossTileID]&&this.prevPlacement.placements[Sr.crossTileID].text&&(tr=this.prevPlacement.variableOffsets[Sr.crossTileID].anchor),Sr.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[Sr.crossTileID]={textOffset:Mt,width:Q,height:ee,anchor:et,textBoxScale:se,prevAnchor:tr},this.markUsedJustification(he,et,Sr,be),he.allowVerticalPlacement&&(this.markUsedOrientation(he,be,Sr),this.placedOrientations[Sr.crossTileID]=be),{shift:Dt,placedGlyphBoxes:Ut}}}placeLayerBucketPart(w,B,Q){let{bucket:ee,layout:se,translationText:qe,translationIcon:je,posMatrix:it,unwrappedTileID:yt,textLabelPlaneMatrix:Ot,labelToScreenMatrix:Nt,textPixelRatio:hr,holdingForFade:Sr,collisionBoxArray:he,partiallyEvaluatedTextSize:be,collisionGroup:Pe}=w.parameters,Oe=se.get(\"text-optional\"),Je=se.get(\"icon-optional\"),He=a.ar(se,\"text-overlap\",\"text-allow-overlap\"),et=He===\"always\",Mt=a.ar(se,\"icon-overlap\",\"icon-allow-overlap\"),Dt=Mt===\"always\",Ut=se.get(\"text-rotation-alignment\")===\"map\",tr=se.get(\"text-pitch-alignment\")===\"map\",mr=se.get(\"icon-text-fit\")!==\"none\",Rr=se.get(\"symbol-z-order\")===\"viewport-y\",zr=et&&(Dt||!ee.hasIconData()||Je),Xr=Dt&&(et||!ee.hasTextData()||Oe);!ee.collisionArrays&&he&&ee.deserializeCollisionBoxes(he);let di=this._getTerrainElevationFunc(this.retainedQueryData[ee.bucketInstanceId].tileID),Li=(Ci,Qi,Mn)=>{var pa,ea;if(B[Ci.crossTileID])return;if(Sr)return void(this.placements[Ci.crossTileID]=new _n(!1,!1,!1));let Ga=!1,To=!1,Wa=!0,co=null,Ro={box:null,placeable:!1,offscreen:null},Ds={box:null,placeable:!1,offscreen:null},As=null,yo=null,po=null,_l=0,Vl=0,Zu=0;Qi.textFeatureIndex?_l=Qi.textFeatureIndex:Ci.useRuntimeCollisionCircles&&(_l=Ci.featureIndex),Qi.verticalTextFeatureIndex&&(Vl=Qi.verticalTextFeatureIndex);let cu=Qi.textBox;if(cu){let Dl=we=>{let Be=a.ah.horizontal;if(ee.allowVerticalPlacement&&!we&&this.prevPlacement){let Ue=this.prevPlacement.placedOrientations[Ci.crossTileID];Ue&&(this.placedOrientations[Ci.crossTileID]=Ue,Be=Ue,this.markUsedOrientation(ee,Be,Ci))}return Be},zl=(we,Be)=>{if(ee.allowVerticalPlacement&&Ci.numVerticalGlyphVertices>0&&Qi.verticalTextBox){for(let Ue of ee.writingModes)if(Ue===a.ah.vertical?(Ro=Be(),Ds=Ro):Ro=we(),Ro&&Ro.placeable)break}else Ro=we()},Z=Ci.textAnchorOffsetStartIndex,oe=Ci.textAnchorOffsetEndIndex;if(oe===Z){let we=(Be,Ue)=>{let We=this.collisionIndex.placeCollisionBox(Be,He,hr,it,yt,tr,Ut,qe,Pe.predicate,di);return We&&We.placeable&&(this.markUsedOrientation(ee,Ue,Ci),this.placedOrientations[Ci.crossTileID]=Ue),We};zl(()=>we(cu,a.ah.horizontal),()=>{let Be=Qi.verticalTextBox;return ee.allowVerticalPlacement&&Ci.numVerticalGlyphVertices>0&&Be?we(Be,a.ah.vertical):{box:null,offscreen:null}}),Dl(Ro&&Ro.placeable)}else{let we=a.aq[(ea=(pa=this.prevPlacement)===null||pa===void 0?void 0:pa.variableOffsets[Ci.crossTileID])===null||ea===void 0?void 0:ea.anchor],Be=(We,wt,tt)=>{let zt=We.x2-We.x1,or=We.y2-We.y1,lr=Ci.textBoxScale,Dr=mr&&Mt===\"never\"?wt:null,Ir=null,oi=He===\"never\"?1:2,ui=\"never\";we&&oi++;for(let qr=0;qrBe(cu,Qi.iconBox,a.ah.horizontal),()=>{let We=Qi.verticalTextBox;return ee.allowVerticalPlacement&&(!Ro||!Ro.placeable)&&Ci.numVerticalGlyphVertices>0&&We?Be(We,Qi.verticalIconBox,a.ah.vertical):{box:null,occluded:!0,offscreen:null}}),Ro&&(Ga=Ro.placeable,Wa=Ro.offscreen);let Ue=Dl(Ro&&Ro.placeable);if(!Ga&&this.prevPlacement){let We=this.prevPlacement.variableOffsets[Ci.crossTileID];We&&(this.variableOffsets[Ci.crossTileID]=We,this.markUsedJustification(ee,We.anchor,Ci,Ue))}}}if(As=Ro,Ga=As&&As.placeable,Wa=As&&As.offscreen,Ci.useRuntimeCollisionCircles){let Dl=ee.text.placedSymbolArray.get(Ci.centerJustifiedTextSymbolIndex),zl=a.ai(ee.textSizeData,be,Dl),Z=se.get(\"text-padding\");yo=this.collisionIndex.placeCollisionCircles(He,Dl,ee.lineVertexArray,ee.glyphOffsetArray,zl,it,yt,Ot,Nt,Q,tr,Pe.predicate,Ci.collisionCircleDiameter,Z,qe,di),yo.circles.length&&yo.collisionDetected&&!Q&&a.w(\"Collisions detected, but collision boxes are not shown\"),Ga=et||yo.circles.length>0&&!yo.collisionDetected,Wa=Wa&&yo.offscreen}if(Qi.iconFeatureIndex&&(Zu=Qi.iconFeatureIndex),Qi.iconBox){let Dl=zl=>this.collisionIndex.placeCollisionBox(zl,Mt,hr,it,yt,tr,Ut,je,Pe.predicate,di,mr&&co?co:void 0);Ds&&Ds.placeable&&Qi.verticalIconBox?(po=Dl(Qi.verticalIconBox),To=po.placeable):(po=Dl(Qi.iconBox),To=po.placeable),Wa=Wa&&po.offscreen}let el=Oe||Ci.numHorizontalGlyphVertices===0&&Ci.numVerticalGlyphVertices===0,nu=Je||Ci.numIconVertices===0;el||nu?nu?el||(To=To&&Ga):Ga=To&&Ga:To=Ga=To&&Ga;let zc=To&&po.placeable;if(Ga&&As.placeable&&this.collisionIndex.insertCollisionBox(As.box,He,se.get(\"text-ignore-placement\"),ee.bucketInstanceId,Ds&&Ds.placeable&&Vl?Vl:_l,Pe.ID),zc&&this.collisionIndex.insertCollisionBox(po.box,Mt,se.get(\"icon-ignore-placement\"),ee.bucketInstanceId,Zu,Pe.ID),yo&&Ga&&this.collisionIndex.insertCollisionCircles(yo.circles,He,se.get(\"text-ignore-placement\"),ee.bucketInstanceId,_l,Pe.ID),Q&&this.storeCollisionData(ee.bucketInstanceId,Mn,Qi,As,po,yo),Ci.crossTileID===0)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(ee.bucketInstanceId===0)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[Ci.crossTileID]=new _n(Ga||zr,To||Xr,Wa||ee.justReloaded),B[Ci.crossTileID]=!0};if(Rr){if(w.symbolInstanceStart!==0)throw new Error(\"bucket.bucketInstanceId should be 0\");let Ci=ee.getSortedSymbolIndexes(this.transform.angle);for(let Qi=Ci.length-1;Qi>=0;--Qi){let Mn=Ci[Qi];Li(ee.symbolInstances.get(Mn),ee.collisionArrays[Mn],Mn)}}else for(let Ci=w.symbolInstanceStart;Ci=0&&(w.text.placedSymbolArray.get(je).crossTileID=se>=0&&je!==se?0:Q.crossTileID)}markUsedOrientation(w,B,Q){let ee=B===a.ah.horizontal||B===a.ah.horizontalOnly?B:0,se=B===a.ah.vertical?B:0,qe=[Q.leftJustifiedTextSymbolIndex,Q.centerJustifiedTextSymbolIndex,Q.rightJustifiedTextSymbolIndex];for(let je of qe)w.text.placedSymbolArray.get(je).placedOrientation=ee;Q.verticalPlacedTextSymbolIndex&&(w.text.placedSymbolArray.get(Q.verticalPlacedTextSymbolIndex).placedOrientation=se)}commit(w){this.commitTime=w,this.zoomAtLastRecencyCheck=this.transform.zoom;let B=this.prevPlacement,Q=!1;this.prevZoomAdjustment=B?B.zoomAdjustment(this.transform.zoom):0;let ee=B?B.symbolFadeChange(w):1,se=B?B.opacities:{},qe=B?B.variableOffsets:{},je=B?B.placedOrientations:{};for(let it in this.placements){let yt=this.placements[it],Ot=se[it];Ot?(this.opacities[it]=new Ni(Ot,ee,yt.text,yt.icon),Q=Q||yt.text!==Ot.text.placed||yt.icon!==Ot.icon.placed):(this.opacities[it]=new Ni(null,ee,yt.text,yt.icon,yt.skipFade),Q=Q||yt.text||yt.icon)}for(let it in se){let yt=se[it];if(!this.opacities[it]){let Ot=new Ni(yt,ee,!1,!1);Ot.isHidden()||(this.opacities[it]=Ot,Q=Q||yt.text.placed||yt.icon.placed)}}for(let it in qe)this.variableOffsets[it]||!this.opacities[it]||this.opacities[it].isHidden()||(this.variableOffsets[it]=qe[it]);for(let it in je)this.placedOrientations[it]||!this.opacities[it]||this.opacities[it].isHidden()||(this.placedOrientations[it]=je[it]);if(B&&B.lastPlacementChangeTime===void 0)throw new Error(\"Last placement time for previous placement is not defined\");Q?this.lastPlacementChangeTime=w:typeof this.lastPlacementChangeTime!=\"number\"&&(this.lastPlacementChangeTime=B?B.lastPlacementChangeTime:w)}updateLayerOpacities(w,B){let Q={};for(let ee of B){let se=ee.getBucket(w);se&&ee.latestFeatureIndex&&w.id===se.layerIds[0]&&this.updateBucketOpacities(se,ee.tileID,Q,ee.collisionBoxArray)}}updateBucketOpacities(w,B,Q,ee){w.hasTextData()&&(w.text.opacityVertexArray.clear(),w.text.hasVisibleVertices=!1),w.hasIconData()&&(w.icon.opacityVertexArray.clear(),w.icon.hasVisibleVertices=!1),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexArray.clear(),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexArray.clear();let se=w.layers[0],qe=se.layout,je=new Ni(null,0,!1,!1,!0),it=qe.get(\"text-allow-overlap\"),yt=qe.get(\"icon-allow-overlap\"),Ot=se._unevaluatedLayout.hasValue(\"text-variable-anchor\")||se._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),Nt=qe.get(\"text-rotation-alignment\")===\"map\",hr=qe.get(\"text-pitch-alignment\")===\"map\",Sr=qe.get(\"icon-text-fit\")!==\"none\",he=new Ni(null,0,it&&(yt||!w.hasIconData()||qe.get(\"icon-optional\")),yt&&(it||!w.hasTextData()||qe.get(\"text-optional\")),!0);!w.collisionArrays&&ee&&(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData())&&w.deserializeCollisionBoxes(ee);let be=(Oe,Je,He)=>{for(let et=0;et0,tr=this.placedOrientations[Je.crossTileID],mr=tr===a.ah.vertical,Rr=tr===a.ah.horizontal||tr===a.ah.horizontalOnly;if(He>0||et>0){let Xr=Mi(Dt.text);be(w.text,He,mr?Pi:Xr),be(w.text,et,Rr?Pi:Xr);let di=Dt.text.isHidden();[Je.rightJustifiedTextSymbolIndex,Je.centerJustifiedTextSymbolIndex,Je.leftJustifiedTextSymbolIndex].forEach(Qi=>{Qi>=0&&(w.text.placedSymbolArray.get(Qi).hidden=di||mr?1:0)}),Je.verticalPlacedTextSymbolIndex>=0&&(w.text.placedSymbolArray.get(Je.verticalPlacedTextSymbolIndex).hidden=di||Rr?1:0);let Li=this.variableOffsets[Je.crossTileID];Li&&this.markUsedJustification(w,Li.anchor,Je,tr);let Ci=this.placedOrientations[Je.crossTileID];Ci&&(this.markUsedJustification(w,\"left\",Je,Ci),this.markUsedOrientation(w,Ci,Je))}if(Ut){let Xr=Mi(Dt.icon),di=!(Sr&&Je.verticalPlacedIconSymbolIndex&&mr);Je.placedIconSymbolIndex>=0&&(be(w.icon,Je.numIconVertices,di?Xr:Pi),w.icon.placedSymbolArray.get(Je.placedIconSymbolIndex).hidden=Dt.icon.isHidden()),Je.verticalPlacedIconSymbolIndex>=0&&(be(w.icon,Je.numVerticalIconVertices,di?Pi:Xr),w.icon.placedSymbolArray.get(Je.verticalPlacedIconSymbolIndex).hidden=Dt.icon.isHidden())}let zr=Pe&&Pe.has(Oe)?Pe.get(Oe):{text:null,icon:null};if(w.hasIconCollisionBoxData()||w.hasTextCollisionBoxData()){let Xr=w.collisionArrays[Oe];if(Xr){let di=new a.P(0,0);if(Xr.textBox||Xr.verticalTextBox){let Li=!0;if(Ot){let Ci=this.variableOffsets[Mt];Ci?(di=It(Ci.anchor,Ci.width,Ci.height,Ci.textOffset,Ci.textBoxScale),Nt&&di._rotate(hr?this.transform.angle:-this.transform.angle)):Li=!1}if(Xr.textBox||Xr.verticalTextBox){let Ci;Xr.textBox&&(Ci=mr),Xr.verticalTextBox&&(Ci=Rr),jt(w.textCollisionBox.collisionVertexArray,Dt.text.placed,!Li||Ci,zr.text,di.x,di.y)}}if(Xr.iconBox||Xr.verticalIconBox){let Li=!!(!Rr&&Xr.verticalIconBox),Ci;Xr.iconBox&&(Ci=Li),Xr.verticalIconBox&&(Ci=!Li),jt(w.iconCollisionBox.collisionVertexArray,Dt.icon.placed,Ci,zr.icon,Sr?di.x:0,Sr?di.y:0)}}}}if(w.sortFeatures(this.transform.angle),this.retainedQueryData[w.bucketInstanceId]&&(this.retainedQueryData[w.bucketInstanceId].featureSortOrder=w.featureSortOrder),w.hasTextData()&&w.text.opacityVertexBuffer&&w.text.opacityVertexBuffer.updateData(w.text.opacityVertexArray),w.hasIconData()&&w.icon.opacityVertexBuffer&&w.icon.opacityVertexBuffer.updateData(w.icon.opacityVertexArray),w.hasIconCollisionBoxData()&&w.iconCollisionBox.collisionVertexBuffer&&w.iconCollisionBox.collisionVertexBuffer.updateData(w.iconCollisionBox.collisionVertexArray),w.hasTextCollisionBoxData()&&w.textCollisionBox.collisionVertexBuffer&&w.textCollisionBox.collisionVertexBuffer.updateData(w.textCollisionBox.collisionVertexArray),w.text.opacityVertexArray.length!==w.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${w.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${w.text.layoutVertexArray.length}) / 4`);if(w.icon.opacityVertexArray.length!==w.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${w.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${w.icon.layoutVertexArray.length}) / 4`);if(w.bucketInstanceId in this.collisionCircleArrays){let Oe=this.collisionCircleArrays[w.bucketInstanceId];w.placementInvProjMatrix=Oe.invProjMatrix,w.placementViewportMatrix=Oe.viewportMatrix,w.collisionCircleArray=Oe.circles,delete this.collisionCircleArrays[w.bucketInstanceId]}}symbolFadeChange(w){return this.fadeDuration===0?1:(w-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(w){return Math.max(0,(this.transform.zoom-w)/1.5)}hasTransitions(w){return this.stale||w-this.lastPlacementChangeTimew}setStale(){this.stale=!0}}function jt(le,w,B,Q,ee,se){Q&&Q.length!==0||(Q=[0,0,0,0]);let qe=Q[0]-ri,je=Q[1]-ri,it=Q[2]-ri,yt=Q[3]-ri;le.emplaceBack(w?1:0,B?1:0,ee||0,se||0,qe,je),le.emplaceBack(w?1:0,B?1:0,ee||0,se||0,it,je),le.emplaceBack(w?1:0,B?1:0,ee||0,se||0,it,yt),le.emplaceBack(w?1:0,B?1:0,ee||0,se||0,qe,yt)}let Zt=Math.pow(2,25),yr=Math.pow(2,24),Fr=Math.pow(2,17),Zr=Math.pow(2,16),Vr=Math.pow(2,9),gi=Math.pow(2,8),Si=Math.pow(2,1);function Mi(le){if(le.opacity===0&&!le.placed)return 0;if(le.opacity===1&&le.placed)return 4294967295;let w=le.placed?1:0,B=Math.floor(127*le.opacity);return B*Zt+w*yr+B*Fr+w*Zr+B*Vr+w*gi+B*Si+w}let Pi=0;function Gi(){return{isOccluded:(le,w,B)=>!1,getPitchedTextCorrection:(le,w,B)=>1,get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(le,w,B,Q){throw new Error(\"Not implemented.\")},translatePosition:(le,w,B,Q)=>function(ee,se,qe,je,it=!1){if(!qe[0]&&!qe[1])return[0,0];let yt=it?je===\"map\"?ee.angle:0:je===\"viewport\"?-ee.angle:0;if(yt){let Ot=Math.sin(yt),Nt=Math.cos(yt);qe=[qe[0]*Nt-qe[1]*Ot,qe[0]*Ot+qe[1]*Nt]}return[it?qe[0]:nn(se,qe[0],ee.zoom),it?qe[1]:nn(se,qe[1],ee.zoom)]}(le,w,B,Q),getCircleRadiusCorrection:le=>1}}class Ki{constructor(w){this._sortAcrossTiles=w.layout.get(\"symbol-z-order\")!==\"viewport-y\"&&!w.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(w,B,Q,ee,se){let qe=this._bucketParts;for(;this._currentTileIndexje.sortKey-it.sortKey));this._currentPartIndex!this._forceFullPlacement&&u.now()-ee>2;for(;this._currentPlacementIndex>=0;){let qe=B[w[this._currentPlacementIndex]],je=this.placement.collisionIndex.transform.zoom;if(qe.type===\"symbol\"&&(!qe.minzoom||qe.minzoom<=je)&&(!qe.maxzoom||qe.maxzoom>je)){if(this._inProgressLayer||(this._inProgressLayer=new Ki(qe)),this._inProgressLayer.continuePlacement(Q[qe.source],this.placement,this._showCollisionBoxes,qe,se))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(w){return this.placement.commit(w),this.placement}}let jn=512/a.X/2;class la{constructor(w,B,Q){this.tileID=w,this.bucketInstanceId=Q,this._symbolsByKey={};let ee=new Map;for(let se=0;se({x:Math.floor(it.anchorX*jn),y:Math.floor(it.anchorY*jn)})),crossTileIDs:qe.map(it=>it.crossTileID)};if(je.positions.length>128){let it=new a.av(je.positions.length,16,Uint16Array);for(let{x:yt,y:Ot}of je.positions)it.add(yt,Ot);it.finish(),delete je.positions,je.index=it}this._symbolsByKey[se]=je}}getScaledCoordinates(w,B){let{x:Q,y:ee,z:se}=this.tileID.canonical,{x:qe,y:je,z:it}=B.canonical,yt=jn/Math.pow(2,it-se),Ot=(je*a.X+w.anchorY)*yt,Nt=ee*a.X*jn;return{x:Math.floor((qe*a.X+w.anchorX)*yt-Q*a.X*jn),y:Math.floor(Ot-Nt)}}findMatches(w,B,Q){let ee=this.tileID.canonical.zw)}}class Fa{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class Ra{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(w){let B=Math.round((w-this.lng)/360);if(B!==0)for(let Q in this.indexes){let ee=this.indexes[Q],se={};for(let qe in ee){let je=ee[qe];je.tileID=je.tileID.unwrapTo(je.tileID.wrap+B),se[je.tileID.key]=je}this.indexes[Q]=se}this.lng=w}addBucket(w,B,Q){if(this.indexes[w.overscaledZ]&&this.indexes[w.overscaledZ][w.key]){if(this.indexes[w.overscaledZ][w.key].bucketInstanceId===B.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(w.overscaledZ,this.indexes[w.overscaledZ][w.key])}for(let se=0;sew.overscaledZ)for(let je in qe){let it=qe[je];it.tileID.isChildOf(w)&&it.findMatches(B.symbolInstances,w,ee)}else{let je=qe[w.scaledTo(Number(se)).key];je&&je.findMatches(B.symbolInstances,w,ee)}}for(let se=0;se{B[Q]=!0});for(let Q in this.layerIndexes)B[Q]||delete this.layerIndexes[Q]}}let oa=(le,w)=>a.t(le,w&&w.filter(B=>B.identifier!==\"source.canvas\")),Sn=a.aw();class Ha extends a.E{constructor(w,B={}){super(),this._rtlPluginLoaded=()=>{for(let Q in this.sourceCaches){let ee=this.sourceCaches[Q].getSource().type;ee!==\"vector\"&&ee!==\"geojson\"||this.sourceCaches[Q].reload()}},this.map=w,this.dispatcher=new Ee(Te(),w._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",(Q,ee)=>this.getGlyphs(Q,ee)),this.dispatcher.registerMessageHandler(\"GI\",(Q,ee)=>this.getImages(Q,ee)),this.imageManager=new T,this.imageManager.setEventedParent(this),this.glyphManager=new H(w._requestManager,B.localIdeographFontFamily),this.lineAtlas=new ae(256,512),this.crossTileSymbolIndex=new jo,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new a.ax,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",a.ay()),bt().on(er,this._rtlPluginLoaded),this.on(\"data\",Q=>{if(Q.dataType!==\"source\"||Q.sourceDataType!==\"metadata\")return;let ee=this.sourceCaches[Q.sourceId];if(!ee)return;let se=ee.getSource();if(se&&se.vectorLayerIds)for(let qe in this._layers){let je=this._layers[qe];je.source===se.id&&this._validateLayer(je)}})}loadURL(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),B.validate=typeof B.validate!=\"boolean\"||B.validate;let ee=this.map._requestManager.transformRequest(w,\"Style\");this._loadStyleRequest=new AbortController;let se=this._loadStyleRequest;a.h(ee,this._loadStyleRequest).then(qe=>{this._loadStyleRequest=null,this._load(qe.data,B,Q)}).catch(qe=>{this._loadStyleRequest=null,qe&&!se.signal.aborted&&this.fire(new a.j(qe))})}loadJSON(w,B={},Q){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then(()=>{this._frameRequest=null,B.validate=B.validate!==!1,this._load(w,B,Q)}).catch(()=>{})}loadEmpty(){this.fire(new a.k(\"dataloading\",{dataType:\"style\"})),this._load(Sn,{validate:!1})}_load(w,B,Q){var ee;let se=B.transformStyle?B.transformStyle(Q,w):w;if(!B.validate||!oa(this,a.u(se))){this._loaded=!0,this.stylesheet=se;for(let qe in se.sources)this.addSource(qe,se.sources[qe],{validate:!1});se.sprite?this._loadSprite(se.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(se.glyphs),this._createLayers(),this.light=new N(this.stylesheet.light),this.sky=new re(this.stylesheet.sky),this.map.setTerrain((ee=this.stylesheet.terrain)!==null&&ee!==void 0?ee:null),this.fire(new a.k(\"data\",{dataType:\"style\"})),this.fire(new a.k(\"style.load\"))}}_createLayers(){let w=a.az(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",w),this._order=w.map(B=>B.id),this._layers={},this._serializedLayers=null;for(let B of w){let Q=a.aA(B);Q.setEventedParent(this,{layer:{id:B.id}}),this._layers[B.id]=Q}}_loadSprite(w,B=!1,Q=void 0){let ee;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,function(se,qe,je,it){return a._(this,void 0,void 0,function*(){let yt=C(se),Ot=je>1?\"@2x\":\"\",Nt={},hr={};for(let{id:Sr,url:he}of yt){let be=qe.transformRequest(M(he,Ot,\".json\"),\"SpriteJSON\");Nt[Sr]=a.h(be,it);let Pe=qe.transformRequest(M(he,Ot,\".png\"),\"SpriteImage\");hr[Sr]=g.getImage(Pe,it)}return yield Promise.all([...Object.values(Nt),...Object.values(hr)]),function(Sr,he){return a._(this,void 0,void 0,function*(){let be={};for(let Pe in Sr){be[Pe]={};let Oe=u.getImageCanvasContext((yield he[Pe]).data),Je=(yield Sr[Pe]).data;for(let He in Je){let{width:et,height:Mt,x:Dt,y:Ut,sdf:tr,pixelRatio:mr,stretchX:Rr,stretchY:zr,content:Xr,textFitWidth:di,textFitHeight:Li}=Je[He];be[Pe][He]={data:null,pixelRatio:mr,sdf:tr,stretchX:Rr,stretchY:zr,content:Xr,textFitWidth:di,textFitHeight:Li,spriteData:{width:et,height:Mt,x:Dt,y:Ut,context:Oe}}}}return be})}(Nt,hr)})}(w,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then(se=>{if(this._spriteRequest=null,se)for(let qe in se){this._spritesImagesIds[qe]=[];let je=this._spritesImagesIds[qe]?this._spritesImagesIds[qe].filter(it=>!(it in se)):[];for(let it of je)this.imageManager.removeImage(it),this._changedImages[it]=!0;for(let it in se[qe]){let yt=qe===\"default\"?it:`${qe}:${it}`;this._spritesImagesIds[qe].push(yt),yt in this.imageManager.images?this.imageManager.updateImage(yt,se[qe][it],!1):this.imageManager.addImage(yt,se[qe][it]),B&&(this._changedImages[yt]=!0)}}}).catch(se=>{this._spriteRequest=null,ee=se,this.fire(new a.j(ee))}).finally(()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),B&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"})),Q&&Q(ee)})}_unloadSprite(){for(let w of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(w),this._changedImages[w]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}_validateLayer(w){let B=this.sourceCaches[w.source];if(!B)return;let Q=w.sourceLayer;if(!Q)return;let ee=B.getSource();(ee.type===\"geojson\"||ee.vectorLayerIds&&ee.vectorLayerIds.indexOf(Q)===-1)&&this.fire(new a.j(new Error(`Source layer \"${Q}\" does not exist on source \"${ee.id}\" as specified by style layer \"${w.id}\".`)))}loaded(){if(!this._loaded||Object.keys(this._updatedSources).length)return!1;for(let w in this.sourceCaches)if(!this.sourceCaches[w].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(w,B=!1){let Q=this._serializedAllLayers();if(!w||w.length===0)return Object.values(B?a.aB(Q):Q);let ee=[];for(let se of w)if(Q[se]){let qe=B?a.aB(Q[se]):Q[se];ee.push(qe)}return ee}_serializedAllLayers(){let w=this._serializedLayers;if(w)return w;w=this._serializedLayers={};let B=Object.keys(this._layers);for(let Q of B){let ee=this._layers[Q];ee.type!==\"custom\"&&(w[Q]=ee.serialize())}return w}hasTransitions(){if(this.light&&this.light.hasTransition()||this.sky&&this.sky.hasTransition())return!0;for(let w in this.sourceCaches)if(this.sourceCaches[w].hasTransition())return!0;for(let w in this._layers)if(this._layers[w].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(w){if(!this._loaded)return;let B=this._changed;if(B){let ee=Object.keys(this._updatedLayers),se=Object.keys(this._removedLayers);(ee.length||se.length)&&this._updateWorkerLayers(ee,se);for(let qe in this._updatedSources){let je=this._updatedSources[qe];if(je===\"reload\")this._reloadSource(qe);else{if(je!==\"clear\")throw new Error(`Invalid action ${je}`);this._clearSource(qe)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(let qe in this._updatedPaintProps)this._layers[qe].updateTransitions(w);this.light.updateTransitions(w),this.sky.updateTransitions(w),this._resetUpdates()}let Q={};for(let ee in this.sourceCaches){let se=this.sourceCaches[ee];Q[ee]=se.used,se.used=!1}for(let ee of this._order){let se=this._layers[ee];se.recalculate(w,this._availableImages),!se.isHidden(w.zoom)&&se.source&&(this.sourceCaches[se.source].used=!0)}for(let ee in Q){let se=this.sourceCaches[ee];!!Q[ee]!=!!se.used&&se.fire(new a.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:ee}))}this.light.recalculate(w),this.sky.recalculate(w),this.z=w.zoom,B&&this.fire(new a.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){let w=Object.keys(this._changedImages);if(w.length){for(let B in this.sourceCaches)this.sourceCaches[B].reloadTilesForDependencies([\"icons\",\"patterns\"],w);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(let w in this.sourceCaches)this.sourceCaches[w].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(w,B){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(w,!1),removedIds:B})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(w,B={}){var Q;this._checkLoaded();let ee=this.serialize();if(w=B.transformStyle?B.transformStyle(ee,w):w,((Q=B.validate)===null||Q===void 0||Q)&&oa(this,a.u(w)))return!1;(w=a.aB(w)).layers=a.az(w.layers);let se=a.aC(ee,w),qe=this._getOperationsToPerform(se);if(qe.unimplemented.length>0)throw new Error(`Unimplemented: ${qe.unimplemented.join(\", \")}.`);if(qe.operations.length===0)return!1;for(let je of qe.operations)je();return this.stylesheet=w,this._serializedLayers=null,!0}_getOperationsToPerform(w){let B=[],Q=[];for(let ee of w)switch(ee.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":B.push(()=>this.addLayer.apply(this,ee.args));break;case\"removeLayer\":B.push(()=>this.removeLayer.apply(this,ee.args));break;case\"setPaintProperty\":B.push(()=>this.setPaintProperty.apply(this,ee.args));break;case\"setLayoutProperty\":B.push(()=>this.setLayoutProperty.apply(this,ee.args));break;case\"setFilter\":B.push(()=>this.setFilter.apply(this,ee.args));break;case\"addSource\":B.push(()=>this.addSource.apply(this,ee.args));break;case\"removeSource\":B.push(()=>this.removeSource.apply(this,ee.args));break;case\"setLayerZoomRange\":B.push(()=>this.setLayerZoomRange.apply(this,ee.args));break;case\"setLight\":B.push(()=>this.setLight.apply(this,ee.args));break;case\"setGeoJSONSourceData\":B.push(()=>this.setGeoJSONSourceData.apply(this,ee.args));break;case\"setGlyphs\":B.push(()=>this.setGlyphs.apply(this,ee.args));break;case\"setSprite\":B.push(()=>this.setSprite.apply(this,ee.args));break;case\"setSky\":B.push(()=>this.setSky.apply(this,ee.args));break;case\"setTerrain\":B.push(()=>this.map.setTerrain.apply(this,ee.args));break;case\"setTransition\":B.push(()=>{});break;default:Q.push(ee.command)}return{operations:B,unimplemented:Q}}addImage(w,B){if(this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" already exists.`)));this.imageManager.addImage(w,B),this._afterImageUpdated(w)}updateImage(w,B){this.imageManager.updateImage(w,B)}getImage(w){return this.imageManager.getImage(w)}removeImage(w){if(!this.getImage(w))return this.fire(new a.j(new Error(`An image named \"${w}\" does not exist.`)));this.imageManager.removeImage(w),this._afterImageUpdated(w)}_afterImageUpdated(w){this._availableImages=this.imageManager.listImages(),this._changedImages[w]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(w,B,Q={}){if(this._checkLoaded(),this.sourceCaches[w]!==void 0)throw new Error(`Source \"${w}\" already exists.`);if(!B.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(B).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(B.type)>=0&&this._validate(a.u.source,`sources.${w}`,B,null,Q))return;this.map&&this.map._collectResourceTiming&&(B.collectResourceTiming=!0);let ee=this.sourceCaches[w]=new dt(w,B,this.dispatcher);ee.style=this,ee.setEventedParent(this,()=>({isSourceLoaded:ee.loaded(),source:ee.serialize(),sourceId:w})),ee.onAdd(this.map),this._changed=!0}removeSource(w){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(\"There is no source with this ID\");for(let Q in this._layers)if(this._layers[Q].source===w)return this.fire(new a.j(new Error(`Source \"${w}\" cannot be removed while layer \"${Q}\" is using it.`)));let B=this.sourceCaches[w];delete this.sourceCaches[w],delete this._updatedSources[w],B.fire(new a.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:w})),B.setEventedParent(null),B.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(w,B){if(this._checkLoaded(),this.sourceCaches[w]===void 0)throw new Error(`There is no source with this ID=${w}`);let Q=this.sourceCaches[w].getSource();if(Q.type!==\"geojson\")throw new Error(`geojsonSource.type is ${Q.type}, which is !== 'geojson`);Q.setData(B),this._changed=!0}getSource(w){return this.sourceCaches[w]&&this.sourceCaches[w].getSource()}addLayer(w,B,Q={}){this._checkLoaded();let ee=w.id;if(this.getLayer(ee))return void this.fire(new a.j(new Error(`Layer \"${ee}\" already exists on this map.`)));let se;if(w.type===\"custom\"){if(oa(this,a.aD(w)))return;se=a.aA(w)}else{if(\"source\"in w&&typeof w.source==\"object\"&&(this.addSource(ee,w.source),w=a.aB(w),w=a.e(w,{source:ee})),this._validate(a.u.layer,`layers.${ee}`,w,{arrayIndex:-1},Q))return;se=a.aA(w),this._validateLayer(se),se.setEventedParent(this,{layer:{id:ee}})}let qe=B?this._order.indexOf(B):this._order.length;if(B&&qe===-1)this.fire(new a.j(new Error(`Cannot add layer \"${ee}\" before non-existing layer \"${B}\".`)));else{if(this._order.splice(qe,0,ee),this._layerOrderChanged=!0,this._layers[ee]=se,this._removedLayers[ee]&&se.source&&se.type!==\"custom\"){let je=this._removedLayers[ee];delete this._removedLayers[ee],je.type!==se.type?this._updatedSources[se.source]=\"clear\":(this._updatedSources[se.source]=\"reload\",this.sourceCaches[se.source].pause())}this._updateLayer(se),se.onAdd&&se.onAdd(this.map)}}moveLayer(w,B){if(this._checkLoaded(),this._changed=!0,!this._layers[w])return void this.fire(new a.j(new Error(`The layer '${w}' does not exist in the map's style and cannot be moved.`)));if(w===B)return;let Q=this._order.indexOf(w);this._order.splice(Q,1);let ee=B?this._order.indexOf(B):this._order.length;B&&ee===-1?this.fire(new a.j(new Error(`Cannot move layer \"${w}\" before non-existing layer \"${B}\".`))):(this._order.splice(ee,0,w),this._layerOrderChanged=!0)}removeLayer(w){this._checkLoaded();let B=this._layers[w];if(!B)return void this.fire(new a.j(new Error(`Cannot remove non-existing layer \"${w}\".`)));B.setEventedParent(null);let Q=this._order.indexOf(w);this._order.splice(Q,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[w]=B,delete this._layers[w],this._serializedLayers&&delete this._serializedLayers[w],delete this._updatedLayers[w],delete this._updatedPaintProps[w],B.onRemove&&B.onRemove(this.map)}getLayer(w){return this._layers[w]}getLayersOrder(){return[...this._order]}hasLayer(w){return w in this._layers}setLayerZoomRange(w,B,Q){this._checkLoaded();let ee=this.getLayer(w);ee?ee.minzoom===B&&ee.maxzoom===Q||(B!=null&&(ee.minzoom=B),Q!=null&&(ee.maxzoom=Q),this._updateLayer(ee)):this.fire(new a.j(new Error(`Cannot set the zoom range of non-existing layer \"${w}\".`)))}setFilter(w,B,Q={}){this._checkLoaded();let ee=this.getLayer(w);if(ee){if(!a.aE(ee.filter,B))return B==null?(ee.filter=void 0,void this._updateLayer(ee)):void(this._validate(a.u.filter,`layers.${ee.id}.filter`,B,null,Q)||(ee.filter=a.aB(B),this._updateLayer(ee)))}else this.fire(new a.j(new Error(`Cannot filter non-existing layer \"${w}\".`)))}getFilter(w){return a.aB(this.getLayer(w).filter)}setLayoutProperty(w,B,Q,ee={}){this._checkLoaded();let se=this.getLayer(w);se?a.aE(se.getLayoutProperty(B),Q)||(se.setLayoutProperty(B,Q,ee),this._updateLayer(se)):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getLayoutProperty(w,B){let Q=this.getLayer(w);if(Q)return Q.getLayoutProperty(B);this.fire(new a.j(new Error(`Cannot get style of non-existing layer \"${w}\".`)))}setPaintProperty(w,B,Q,ee={}){this._checkLoaded();let se=this.getLayer(w);se?a.aE(se.getPaintProperty(B),Q)||(se.setPaintProperty(B,Q,ee)&&this._updateLayer(se),this._changed=!0,this._updatedPaintProps[w]=!0,this._serializedLayers=null):this.fire(new a.j(new Error(`Cannot style non-existing layer \"${w}\".`)))}getPaintProperty(w,B){return this.getLayer(w).getPaintProperty(B)}setFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=w.sourceLayer,se=this.sourceCaches[Q];if(se===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let qe=se.getSource().type;qe===\"geojson\"&&ee?this.fire(new a.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):qe!==\"vector\"||ee?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),se.setFeatureState(ee,w.id,B)):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(w,B){this._checkLoaded();let Q=w.source,ee=this.sourceCaches[Q];if(ee===void 0)return void this.fire(new a.j(new Error(`The source '${Q}' does not exist in the map's style.`)));let se=ee.getSource().type,qe=se===\"vector\"?w.sourceLayer:void 0;se!==\"vector\"||qe?B&&typeof w.id!=\"string\"&&typeof w.id!=\"number\"?this.fire(new a.j(new Error(\"A feature id is required to remove its specific state property.\"))):ee.removeFeatureState(qe,w.id,B):this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(w){this._checkLoaded();let B=w.source,Q=w.sourceLayer,ee=this.sourceCaches[B];if(ee!==void 0)return ee.getSource().type!==\"vector\"||Q?(w.id===void 0&&this.fire(new a.j(new Error(\"The feature id parameter must be provided.\"))),ee.getFeatureState(Q,w.id)):void this.fire(new a.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new a.j(new Error(`The source '${B}' does not exist in the map's style.`)))}getTransition(){return a.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;let w=a.aF(this.sourceCaches,se=>se.serialize()),B=this._serializeByIds(this._order,!0),Q=this.map.getTerrain()||void 0,ee=this.stylesheet;return a.aG({version:ee.version,name:ee.name,metadata:ee.metadata,light:ee.light,sky:ee.sky,center:ee.center,zoom:ee.zoom,bearing:ee.bearing,pitch:ee.pitch,sprite:ee.sprite,glyphs:ee.glyphs,transition:ee.transition,sources:w,layers:B,terrain:Q},se=>se!==void 0)}_updateLayer(w){this._updatedLayers[w.id]=!0,w.source&&!this._updatedSources[w.source]&&this.sourceCaches[w.source].getSource().type!==\"raster\"&&(this._updatedSources[w.source]=\"reload\",this.sourceCaches[w.source].pause()),this._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(w){let B=qe=>this._layers[qe].type===\"fill-extrusion\",Q={},ee=[];for(let qe=this._order.length-1;qe>=0;qe--){let je=this._order[qe];if(B(je)){Q[je]=qe;for(let it of w){let yt=it[je];if(yt)for(let Ot of yt)ee.push(Ot)}}}ee.sort((qe,je)=>je.intersectionZ-qe.intersectionZ);let se=[];for(let qe=this._order.length-1;qe>=0;qe--){let je=this._order[qe];if(B(je))for(let it=ee.length-1;it>=0;it--){let yt=ee[it].feature;if(Q[yt.layer.id]{let tr=Oe.featureSortOrder;if(tr){let mr=tr.indexOf(Dt.featureIndex);return tr.indexOf(Ut.featureIndex)-mr}return Ut.featureIndex-Dt.featureIndex});for(let Dt of Mt)et.push(Dt)}}for(let Oe in he)he[Oe].forEach(Je=>{let He=Je.feature,et=yt[je[Oe].source].getFeatureState(He.layer[\"source-layer\"],He.id);He.source=He.layer.source,He.layer[\"source-layer\"]&&(He.sourceLayer=He.layer[\"source-layer\"]),He.state=et});return he}(this._layers,qe,this.sourceCaches,w,B,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(se)}querySourceFeatures(w,B){B&&B.filter&&this._validate(a.u.filter,\"querySourceFeatures.filter\",B.filter,null,B);let Q=this.sourceCaches[w];return Q?function(ee,se){let qe=ee.getRenderableIds().map(yt=>ee.getTileByID(yt)),je=[],it={};for(let yt=0;ythr.getTileByID(Sr)).sort((Sr,he)=>he.tileID.overscaledZ-Sr.tileID.overscaledZ||(Sr.tileID.isLessThan(he.tileID)?-1:1))}let Nt=this.crossTileSymbolIndex.addLayer(Ot,it[Ot.source],w.center.lng);qe=qe||Nt}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((se=se||this._layerOrderChanged||Q===0)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(u.now(),w.zoom))&&(this.pauseablePlacement=new ka(w,this.map.terrain,this._order,se,B,Q,ee,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,it),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(u.now()),je=!0),qe&&this.pauseablePlacement.placement.setStale()),je||qe)for(let yt of this._order){let Ot=this._layers[yt];Ot.type===\"symbol\"&&this.placement.updateLayerOpacities(Ot,it[Ot.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(u.now())}_releaseSymbolFadeTiles(){for(let w in this.sourceCaches)this.sourceCaches[w].releaseSymbolFadeTiles()}getImages(w,B){return a._(this,void 0,void 0,function*(){let Q=yield this.imageManager.getImages(B.icons);this._updateTilesForChangedImages();let ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,B.icons),Q})}getGlyphs(w,B){return a._(this,void 0,void 0,function*(){let Q=yield this.glyphManager.getGlyphs(B.stacks),ee=this.sourceCaches[B.source];return ee&&ee.setDependencies(B.tileID.key,B.type,[\"\"]),Q})}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(w,B={}){this._checkLoaded(),w&&this._validate(a.u.glyphs,\"glyphs\",w,null,B)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=w,this.glyphManager.entries={},this.glyphManager.setURL(w))}addSprite(w,B,Q={},ee){this._checkLoaded();let se=[{id:w,url:B}],qe=[...C(this.stylesheet.sprite),...se];this._validate(a.u.sprite,\"sprite\",qe,null,Q)||(this.stylesheet.sprite=qe,this._loadSprite(se,!0,ee))}removeSprite(w){this._checkLoaded();let B=C(this.stylesheet.sprite);if(B.find(Q=>Q.id===w)){if(this._spritesImagesIds[w])for(let Q of this._spritesImagesIds[w])this.imageManager.removeImage(Q),this._changedImages[Q]=!0;B.splice(B.findIndex(Q=>Q.id===w),1),this.stylesheet.sprite=B.length>0?B:void 0,delete this._spritesImagesIds[w],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new a.k(\"data\",{dataType:\"style\"}))}else this.fire(new a.j(new Error(`Sprite \"${w}\" doesn't exists on this map.`)))}getSprite(){return C(this.stylesheet.sprite)}setSprite(w,B={},Q){this._checkLoaded(),w&&this._validate(a.u.sprite,\"sprite\",w,null,B)||(this.stylesheet.sprite=w,w?this._loadSprite(w,!0,Q):(this._unloadSprite(),Q&&Q(null)))}}var oo=a.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);let xn={prelude:_t(`#ifdef GL_ES\n", + "precision mediump float;\n", + "#else\n", + "#if !defined(lowp)\n", + "#define lowp\n", + "#endif\n", + "#if !defined(mediump)\n", + "#define mediump\n", + "#endif\n", + "#if !defined(highp)\n", + "#define highp\n", + "#endif\n", + "#endif\n", + "`,`#ifdef GL_ES\n", + "precision highp float;\n", + "#else\n", + "#if !defined(lowp)\n", + "#define lowp\n", + "#endif\n", + "#if !defined(mediump)\n", + "#define mediump\n", + "#endif\n", + "#if !defined(highp)\n", + "#define highp\n", + "#endif\n", + "#endif\n", + "vec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n", + ");}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\n", + "#ifdef TERRAIN3D\n", + "uniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\n", + "#endif\n", + "const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\n", + "#ifdef TERRAIN3D\n", + "highp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\n", + "#else\n", + "return 1.0;\n", + "#endif\n", + "}float calculate_visibility(vec4 pos) {\n", + "#ifdef TERRAIN3D\n", + "vec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\n", + "#else\n", + "return 1.0;\n", + "#endif\n", + "}float ele(vec2 pos) {\n", + "#ifdef TERRAIN3D\n", + "vec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\n", + "#else\n", + "return 0.0;\n", + "#endif\n", + "}float get_elevation(vec2 pos) {\n", + "#ifdef TERRAIN3D\n", + "vec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\n", + "#else\n", + "return 0.0;\n", + "#endif\n", + "}`),background:_t(`uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),backgroundPattern:_t(`uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),circle:_t(`varying vec3 v_data;varying float v_visibility;\n", + "#pragma mapbox: define highp vec4 color\n", + "#pragma mapbox: define mediump float radius\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define highp vec4 stroke_color\n", + "#pragma mapbox: define mediump float stroke_width\n", + "#pragma mapbox: define lowp float stroke_opacity\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 color\n", + "#pragma mapbox: initialize mediump float radius\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize highp vec4 stroke_color\n", + "#pragma mapbox: initialize mediump float stroke_width\n", + "#pragma mapbox: initialize lowp float stroke_opacity\n", + "vec2 extrude=v_data.xy;float extrude_length=length(extrude);float antialiased_blur=v_data.z;float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=v_visibility*opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;varying float v_visibility;\n", + "#pragma mapbox: define highp vec4 color\n", + "#pragma mapbox: define mediump float radius\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define highp vec4 stroke_color\n", + "#pragma mapbox: define mediump float stroke_width\n", + "#pragma mapbox: define lowp float stroke_opacity\n", + "void main(void) {\n", + "#pragma mapbox: initialize highp vec4 color\n", + "#pragma mapbox: initialize mediump float radius\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize highp vec4 stroke_color\n", + "#pragma mapbox: initialize mediump float stroke_width\n", + "#pragma mapbox: initialize lowp float stroke_opacity\n", + "vec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}float antialiasblur=-max(1.0/u_device_pixel_ratio/(radius+stroke_width),blur);v_data=vec3(extrude.x,extrude.y,antialiasblur);}`),clippingMask:_t(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),heatmap:_t(`uniform highp float u_intensity;varying vec2 v_extrude;\n", + "#pragma mapbox: define highp float weight\n", + "#define GAUSS_COEF 0.3989422804014327\n", + "void main() {\n", + "#pragma mapbox: initialize highp float weight\n", + "float d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n", + "#pragma mapbox: define highp float weight\n", + "#pragma mapbox: define mediump float radius\n", + "const highp float ZERO=1.0/255.0/16.0;\n", + "#define GAUSS_COEF 0.3989422804014327\n", + "void main(void) {\n", + "#pragma mapbox: initialize highp float weight\n", + "#pragma mapbox: initialize mediump float radius\n", + "vec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,get_elevation(floor(a_pos*0.5)),1);gl_Position=u_matrix*pos;}`),heatmapTexture:_t(`uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(0.0);\n", + "#endif\n", + "}`,\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),collisionBox:_t(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:_t(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),debug:_t(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,get_elevation(a_pos),1);}\"),fill:_t(`#pragma mapbox: define highp vec4 color\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "gl_FragColor=color*opacity;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`attribute vec2 a_pos;uniform mat4 u_matrix;\n", + "#pragma mapbox: define highp vec4 color\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "gl_Position=u_matrix*vec4(a_pos,0,1);}`),fillOutline:_t(`varying vec2 v_pos;\n", + "#pragma mapbox: define highp vec4 outline_color\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 outline_color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n", + "#pragma mapbox: define highp vec4 outline_color\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 outline_color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillOutlinePattern:_t(`uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "#pragma mapbox: define lowp float pixel_ratio_from\n", + "#pragma mapbox: define lowp float pixel_ratio_to\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "#pragma mapbox: initialize lowp float pixel_ratio_from\n", + "#pragma mapbox: initialize lowp float pixel_ratio_to\n", + "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}`),fillPattern:_t(`#ifdef GL_ES\n", + "precision highp float;\n", + "#endif\n", + "uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "#pragma mapbox: define lowp float pixel_ratio_from\n", + "#pragma mapbox: define lowp float pixel_ratio_to\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "#pragma mapbox: initialize lowp float pixel_ratio_from\n", + "#pragma mapbox: initialize lowp float pixel_ratio_to\n", + "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}`),fillExtrusion:_t(`varying vec4 v_color;void main() {gl_FragColor=v_color;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n", + "#ifdef TERRAIN3D\n", + "attribute vec2 a_centroid;\n", + "#endif\n", + "varying vec4 v_color;\n", + "#pragma mapbox: define highp float base\n", + "#pragma mapbox: define highp float height\n", + "#pragma mapbox: define highp vec4 color\n", + "void main() {\n", + "#pragma mapbox: initialize highp float base\n", + "#pragma mapbox: initialize highp float height\n", + "#pragma mapbox: initialize highp vec4 color\n", + "vec3 normal=a_normal_ed.xyz;\n", + "#ifdef TERRAIN3D\n", + "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n", + "#else\n", + "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n", + "#endif\n", + "base=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}`),fillExtrusionPattern:_t(`uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n", + "#pragma mapbox: define lowp float base\n", + "#pragma mapbox: define lowp float height\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "#pragma mapbox: define lowp float pixel_ratio_from\n", + "#pragma mapbox: define lowp float pixel_ratio_to\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float base\n", + "#pragma mapbox: initialize lowp float height\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "#pragma mapbox: initialize lowp float pixel_ratio_from\n", + "#pragma mapbox: initialize lowp float pixel_ratio_to\n", + "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\n", + "#ifdef TERRAIN3D\n", + "attribute vec2 a_centroid;\n", + "#endif\n", + "varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n", + "#pragma mapbox: define lowp float base\n", + "#pragma mapbox: define lowp float height\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "#pragma mapbox: define lowp float pixel_ratio_from\n", + "#pragma mapbox: define lowp float pixel_ratio_to\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float base\n", + "#pragma mapbox: initialize lowp float height\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "#pragma mapbox: initialize lowp float pixel_ratio_from\n", + "#pragma mapbox: initialize lowp float pixel_ratio_to\n", + "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;\n", + "#ifdef TERRAIN3D\n", + "float height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\n", + "#else\n", + "float height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\n", + "#endif\n", + "base=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n", + "? a_pos\n", + ": vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}`),hillshadePrepare:_t(`#ifdef GL_ES\n", + "precision highp float;\n", + "#endif\n", + "uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hillshade:_t(`uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n", + "#define PI 3.141592653589793\n", + "void main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),line:_t(`uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n", + "#pragma mapbox: define highp vec4 color\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 color\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`\n", + "#define scale 0.015873016\n", + "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n", + "#pragma mapbox: define highp vec4 color\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define mediump float gapwidth\n", + "#pragma mapbox: define lowp float offset\n", + "#pragma mapbox: define mediump float width\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 color\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump float gapwidth\n", + "#pragma mapbox: initialize lowp float offset\n", + "#pragma mapbox: initialize mediump float width\n", + "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n", + "#ifdef TERRAIN3D\n", + "v_gamma_scale=1.0;\n", + "#else\n", + "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n", + "#endif\n", + "v_width2=vec2(outset,inset);}`),lineGradient:_t(`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`\n", + "#define scale 0.015873016\n", + "attribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define mediump float gapwidth\n", + "#pragma mapbox: define lowp float offset\n", + "#pragma mapbox: define mediump float width\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump float gapwidth\n", + "#pragma mapbox: initialize lowp float offset\n", + "#pragma mapbox: initialize mediump float width\n", + "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n", + "#ifdef TERRAIN3D\n", + "v_gamma_scale=1.0;\n", + "#else\n", + "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n", + "#endif\n", + "v_width2=vec2(outset,inset);}`),linePattern:_t(`#ifdef GL_ES\n", + "precision highp float;\n", + "#endif\n", + "uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "#pragma mapbox: define lowp float pixel_ratio_from\n", + "#pragma mapbox: define lowp float pixel_ratio_to\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "#pragma mapbox: initialize lowp float pixel_ratio_from\n", + "#pragma mapbox: initialize lowp float pixel_ratio_to\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "vec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`\n", + "#define scale 0.015873016\n", + "#define LINE_DISTANCE_SCALE 2.0\n", + "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp float offset\n", + "#pragma mapbox: define mediump float gapwidth\n", + "#pragma mapbox: define mediump float width\n", + "#pragma mapbox: define lowp float floorwidth\n", + "#pragma mapbox: define lowp vec4 pattern_from\n", + "#pragma mapbox: define lowp vec4 pattern_to\n", + "#pragma mapbox: define lowp float pixel_ratio_from\n", + "#pragma mapbox: define lowp float pixel_ratio_to\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize lowp float offset\n", + "#pragma mapbox: initialize mediump float gapwidth\n", + "#pragma mapbox: initialize mediump float width\n", + "#pragma mapbox: initialize lowp float floorwidth\n", + "#pragma mapbox: initialize mediump vec4 pattern_from\n", + "#pragma mapbox: initialize mediump vec4 pattern_to\n", + "#pragma mapbox: initialize lowp float pixel_ratio_from\n", + "#pragma mapbox: initialize lowp float pixel_ratio_to\n", + "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n", + "#ifdef TERRAIN3D\n", + "v_gamma_scale=1.0;\n", + "#else\n", + "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n", + "#endif\n", + "v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}`),lineSDF:_t(`uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n", + "#pragma mapbox: define highp vec4 color\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define mediump float width\n", + "#pragma mapbox: define lowp float floorwidth\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 color\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump float width\n", + "#pragma mapbox: initialize lowp float floorwidth\n", + "float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`\n", + "#define scale 0.015873016\n", + "#define LINE_DISTANCE_SCALE 2.0\n", + "attribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n", + "#pragma mapbox: define highp vec4 color\n", + "#pragma mapbox: define lowp float blur\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define mediump float gapwidth\n", + "#pragma mapbox: define lowp float offset\n", + "#pragma mapbox: define mediump float width\n", + "#pragma mapbox: define lowp float floorwidth\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 color\n", + "#pragma mapbox: initialize lowp float blur\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize mediump float gapwidth\n", + "#pragma mapbox: initialize lowp float offset\n", + "#pragma mapbox: initialize mediump float width\n", + "#pragma mapbox: initialize lowp float floorwidth\n", + "float ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\n", + "#ifdef TERRAIN3D\n", + "v_gamma_scale=1.0;\n", + "#else\n", + "float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\n", + "#endif\n", + "v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}`),raster:_t(`uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),symbolIcon:_t(`uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float opacity\n", + "lowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n", + "#pragma mapbox: define lowp float opacity\n", + "void main() {\n", + "#pragma mapbox: initialize lowp float opacity\n", + "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n", + "camera_to_anchor_distance/u_camera_to_center_distance :\n", + "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}`),symbolSDF:_t(`#define SDF_PX 8.0\n", + "uniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n", + "#pragma mapbox: define highp vec4 fill_color\n", + "#pragma mapbox: define highp vec4 halo_color\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp float halo_width\n", + "#pragma mapbox: define lowp float halo_blur\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 fill_color\n", + "#pragma mapbox: initialize highp vec4 halo_color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize lowp float halo_width\n", + "#pragma mapbox: initialize lowp float halo_blur\n", + "float EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float inner_edge=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n", + "#pragma mapbox: define highp vec4 fill_color\n", + "#pragma mapbox: define highp vec4 halo_color\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp float halo_width\n", + "#pragma mapbox: define lowp float halo_blur\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 fill_color\n", + "#pragma mapbox: initialize highp vec4 halo_color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize lowp float halo_width\n", + "#pragma mapbox: initialize lowp float halo_blur\n", + "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n", + "camera_to_anchor_distance/u_camera_to_center_distance :\n", + "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}`),symbolTextAndIcon:_t(`#define SDF_PX 8.0\n", + "#define SDF 1.0\n", + "#define ICON 0.0\n", + "uniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n", + "#pragma mapbox: define highp vec4 fill_color\n", + "#pragma mapbox: define highp vec4 halo_color\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp float halo_width\n", + "#pragma mapbox: define lowp float halo_blur\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 fill_color\n", + "#pragma mapbox: initialize highp vec4 halo_color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize lowp float halo_width\n", + "#pragma mapbox: initialize lowp float halo_blur\n", + "float fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "return;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n", + "#ifdef OVERDRAW_INSPECTOR\n", + "gl_FragColor=vec4(1.0);\n", + "#endif\n", + "}`,`attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\n", + "#pragma mapbox: define highp vec4 fill_color\n", + "#pragma mapbox: define highp vec4 halo_color\n", + "#pragma mapbox: define lowp float opacity\n", + "#pragma mapbox: define lowp float halo_width\n", + "#pragma mapbox: define lowp float halo_blur\n", + "void main() {\n", + "#pragma mapbox: initialize highp vec4 fill_color\n", + "#pragma mapbox: initialize highp vec4 halo_color\n", + "#pragma mapbox: initialize lowp float opacity\n", + "#pragma mapbox: initialize lowp float halo_width\n", + "#pragma mapbox: initialize lowp float halo_blur\n", + "vec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\n", + "camera_to_anchor_distance/u_camera_to_center_distance :\n", + "u_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}`),terrain:_t(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:_t(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:_t(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:_t(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function _t(le,w){let B=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,Q=w.match(/attribute ([\\w]+) ([\\w]+)/g),ee=le.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),se=w.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),qe=se?se.concat(ee):ee,je={};return{fragmentSource:le=le.replace(B,(it,yt,Ot,Nt,hr)=>(je[hr]=!0,yt===\"define\"?`\n", + "#ifndef HAS_UNIFORM_u_${hr}\n", + "varying ${Ot} ${Nt} ${hr};\n", + "#else\n", + "uniform ${Ot} ${Nt} u_${hr};\n", + "#endif\n", + "`:`\n", + "#ifdef HAS_UNIFORM_u_${hr}\n", + " ${Ot} ${Nt} ${hr} = u_${hr};\n", + "#endif\n", + "`)),vertexSource:w=w.replace(B,(it,yt,Ot,Nt,hr)=>{let Sr=Nt===\"float\"?\"vec2\":\"vec4\",he=hr.match(/color/)?\"color\":Sr;return je[hr]?yt===\"define\"?`\n", + "#ifndef HAS_UNIFORM_u_${hr}\n", + "uniform lowp float u_${hr}_t;\n", + "attribute ${Ot} ${Sr} a_${hr};\n", + "varying ${Ot} ${Nt} ${hr};\n", + "#else\n", + "uniform ${Ot} ${Nt} u_${hr};\n", + "#endif\n", + "`:he===\"vec4\"?`\n", + "#ifndef HAS_UNIFORM_u_${hr}\n", + " ${hr} = a_${hr};\n", + "#else\n", + " ${Ot} ${Nt} ${hr} = u_${hr};\n", + "#endif\n", + "`:`\n", + "#ifndef HAS_UNIFORM_u_${hr}\n", + " ${hr} = unpack_mix_${he}(a_${hr}, u_${hr}_t);\n", + "#else\n", + " ${Ot} ${Nt} ${hr} = u_${hr};\n", + "#endif\n", + "`:yt===\"define\"?`\n", + "#ifndef HAS_UNIFORM_u_${hr}\n", + "uniform lowp float u_${hr}_t;\n", + "attribute ${Ot} ${Sr} a_${hr};\n", + "#else\n", + "uniform ${Ot} ${Nt} u_${hr};\n", + "#endif\n", + "`:he===\"vec4\"?`\n", + "#ifndef HAS_UNIFORM_u_${hr}\n", + " ${Ot} ${Nt} ${hr} = a_${hr};\n", + "#else\n", + " ${Ot} ${Nt} ${hr} = u_${hr};\n", + "#endif\n", + "`:`\n", + "#ifndef HAS_UNIFORM_u_${hr}\n", + " ${Ot} ${Nt} ${hr} = unpack_mix_${he}(a_${hr}, u_${hr}_t);\n", + "#else\n", + " ${Ot} ${Nt} ${hr} = u_${hr};\n", + "#endif\n", + "`}),staticAttributes:Q,staticUniforms:qe}}class br{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(w,B,Q,ee,se,qe,je,it,yt){this.context=w;let Ot=this.boundPaintVertexBuffers.length!==ee.length;for(let Nt=0;!Ot&&Nt({u_matrix:le,u_texture:0,u_ele_delta:w,u_fog_matrix:B,u_fog_color:Q?Q.properties.get(\"fog-color\"):a.aM.white,u_fog_ground_blend:Q?Q.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:Q?Q.calculateFogBlendOpacity(ee):0,u_horizon_color:Q?Q.properties.get(\"horizon-color\"):a.aM.white,u_horizon_fog_blend:Q?Q.properties.get(\"horizon-fog-blend\"):1});function ti(le){let w=[];for(let B=0;B({u_depth:new a.aH(Dt,Ut.u_depth),u_terrain:new a.aH(Dt,Ut.u_terrain),u_terrain_dim:new a.aI(Dt,Ut.u_terrain_dim),u_terrain_matrix:new a.aJ(Dt,Ut.u_terrain_matrix),u_terrain_unpack:new a.aK(Dt,Ut.u_terrain_unpack),u_terrain_exaggeration:new a.aI(Dt,Ut.u_terrain_exaggeration)}))(w,Mt),this.binderUniforms=Q?Q.getUniforms(w,Mt):[]}draw(w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr,he,be,Pe,Oe,Je){let He=w.gl;if(this.failedToCreate)return;if(w.program.set(this.program),w.setDepthMode(Q),w.setStencilMode(ee),w.setColorMode(se),w.setCullFace(qe),it){w.activeTexture.set(He.TEXTURE2),He.bindTexture(He.TEXTURE_2D,it.depthTexture),w.activeTexture.set(He.TEXTURE3),He.bindTexture(He.TEXTURE_2D,it.texture);for(let Mt in this.terrainUniforms)this.terrainUniforms[Mt].set(it[Mt])}for(let Mt in this.fixedUniforms)this.fixedUniforms[Mt].set(je[Mt]);be&&be.setUniforms(w,this.binderUniforms,Sr,{zoom:he});let et=0;switch(B){case He.LINES:et=2;break;case He.TRIANGLES:et=3;break;case He.LINE_STRIP:et=1}for(let Mt of hr.get()){let Dt=Mt.vaos||(Mt.vaos={});(Dt[yt]||(Dt[yt]=new br)).bind(w,this,Ot,be?be.getPaintVertexBuffers():[],Nt,Mt.vertexOffset,Pe,Oe,Je),He.drawElements(B,Mt.primitiveLength*et,He.UNSIGNED_SHORT,Mt.primitiveOffset*et*2)}}}function Yi(le,w,B){let Q=1/nn(B,1,w.transform.tileZoom),ee=Math.pow(2,B.tileID.overscaledZ),se=B.tileSize*Math.pow(2,w.transform.tileZoom)/ee,qe=se*(B.tileID.canonical.x+B.tileID.wrap*ee),je=se*B.tileID.canonical.y;return{u_image:0,u_texsize:B.imageAtlasTexture.size,u_scale:[Q,le.fromScale,le.toScale],u_fade:le.t,u_pixel_coord_upper:[qe>>16,je>>16],u_pixel_coord_lower:[65535&qe,65535&je]}}let an=(le,w,B,Q)=>{let ee=w.style.light,se=ee.properties.get(\"position\"),qe=[se.x,se.y,se.z],je=function(){var yt=new a.A(9);return a.A!=Float32Array&&(yt[1]=0,yt[2]=0,yt[3]=0,yt[5]=0,yt[6]=0,yt[7]=0),yt[0]=1,yt[4]=1,yt[8]=1,yt}();ee.properties.get(\"anchor\")===\"viewport\"&&function(yt,Ot){var Nt=Math.sin(Ot),hr=Math.cos(Ot);yt[0]=hr,yt[1]=Nt,yt[2]=0,yt[3]=-Nt,yt[4]=hr,yt[5]=0,yt[6]=0,yt[7]=0,yt[8]=1}(je,-w.transform.angle),function(yt,Ot,Nt){var hr=Ot[0],Sr=Ot[1],he=Ot[2];yt[0]=hr*Nt[0]+Sr*Nt[3]+he*Nt[6],yt[1]=hr*Nt[1]+Sr*Nt[4]+he*Nt[7],yt[2]=hr*Nt[2]+Sr*Nt[5]+he*Nt[8]}(qe,qe,je);let it=ee.properties.get(\"color\");return{u_matrix:le,u_lightpos:qe,u_lightintensity:ee.properties.get(\"intensity\"),u_lightcolor:[it.r,it.g,it.b],u_vertical_gradient:+B,u_opacity:Q}},hi=(le,w,B,Q,ee,se,qe)=>a.e(an(le,w,B,Q),Yi(se,w,qe),{u_height_factor:-Math.pow(2,ee.overscaledZ)/qe.tileSize/8}),Ji=le=>({u_matrix:le}),ua=(le,w,B,Q)=>a.e(Ji(le),Yi(B,w,Q)),Fn=(le,w)=>({u_matrix:le,u_world:w}),Sa=(le,w,B,Q,ee)=>a.e(ua(le,w,B,Q),{u_world:ee}),go=(le,w,B,Q)=>{let ee=le.transform,se,qe;if(Q.paint.get(\"circle-pitch-alignment\")===\"map\"){let je=nn(B,1,ee.zoom);se=!0,qe=[je,je]}else se=!1,qe=ee.pixelsToGLUnits;return{u_camera_to_center_distance:ee.cameraToCenterDistance,u_scale_with_map:+(Q.paint.get(\"circle-pitch-scale\")===\"map\"),u_matrix:le.translatePosMatrix(w.posMatrix,B,Q.paint.get(\"circle-translate\"),Q.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+se,u_device_pixel_ratio:le.pixelRatio,u_extrude_scale:qe}},Oo=(le,w,B)=>({u_matrix:le,u_inv_matrix:w,u_camera_to_center_distance:B.cameraToCenterDistance,u_viewport_size:[B.width,B.height]}),ho=(le,w,B=1)=>({u_matrix:le,u_color:w,u_overlay:0,u_overlay_scale:B}),Mo=le=>({u_matrix:le}),xo=(le,w,B,Q)=>({u_matrix:le,u_extrude_scale:nn(w,1,B),u_intensity:Q}),zs=(le,w,B,Q)=>{let ee=a.H();a.aP(ee,0,le.width,le.height,0,0,1);let se=le.context.gl;return{u_matrix:ee,u_world:[se.drawingBufferWidth,se.drawingBufferHeight],u_image:B,u_color_ramp:Q,u_opacity:w.paint.get(\"heatmap-opacity\")}};function ks(le,w){let B=Math.pow(2,w.canonical.z),Q=w.canonical.y;return[new a.Z(0,Q/B).toLngLat().lat,new a.Z(0,(Q+1)/B).toLngLat().lat]}let Zs=(le,w,B,Q)=>{let ee=le.transform;return{u_matrix:Cs(le,w,B,Q),u_ratio:1/nn(w,1,ee.zoom),u_device_pixel_ratio:le.pixelRatio,u_units_to_pixels:[1/ee.pixelsToGLUnits[0],1/ee.pixelsToGLUnits[1]]}},Xs=(le,w,B,Q,ee)=>a.e(Zs(le,w,B,ee),{u_image:0,u_image_height:Q}),wl=(le,w,B,Q,ee)=>{let se=le.transform,qe=cl(w,se);return{u_matrix:Cs(le,w,B,ee),u_texsize:w.imageAtlasTexture.size,u_ratio:1/nn(w,1,se.zoom),u_device_pixel_ratio:le.pixelRatio,u_image:0,u_scale:[qe,Q.fromScale,Q.toScale],u_fade:Q.t,u_units_to_pixels:[1/se.pixelsToGLUnits[0],1/se.pixelsToGLUnits[1]]}},os=(le,w,B,Q,ee,se)=>{let qe=le.lineAtlas,je=cl(w,le.transform),it=B.layout.get(\"line-cap\")===\"round\",yt=qe.getDash(Q.from,it),Ot=qe.getDash(Q.to,it),Nt=yt.width*ee.fromScale,hr=Ot.width*ee.toScale;return a.e(Zs(le,w,B,se),{u_patternscale_a:[je/Nt,-yt.height/2],u_patternscale_b:[je/hr,-Ot.height/2],u_sdfgamma:qe.width/(256*Math.min(Nt,hr)*le.pixelRatio)/2,u_image:0,u_tex_y_a:yt.y,u_tex_y_b:Ot.y,u_mix:ee.t})};function cl(le,w){return 1/nn(le,1,w.tileZoom)}function Cs(le,w,B,Q){return le.translatePosMatrix(Q?Q.posMatrix:w.tileID.posMatrix,w,B.paint.get(\"line-translate\"),B.paint.get(\"line-translate-anchor\"))}let ml=(le,w,B,Q,ee)=>{return{u_matrix:le,u_tl_parent:w,u_scale_parent:B,u_buffer_scale:1,u_fade_t:Q.mix,u_opacity:Q.opacity*ee.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:ee.paint.get(\"raster-brightness-min\"),u_brightness_high:ee.paint.get(\"raster-brightness-max\"),u_saturation_factor:(qe=ee.paint.get(\"raster-saturation\"),qe>0?1-1/(1.001-qe):-qe),u_contrast_factor:(se=ee.paint.get(\"raster-contrast\"),se>0?1/(1-se):1+se),u_spin_weights:Ys(ee.paint.get(\"raster-hue-rotate\"))};var se,qe};function Ys(le){le*=Math.PI/180;let w=Math.sin(le),B=Math.cos(le);return[(2*B+1)/3,(-Math.sqrt(3)*w-B+1)/3,(Math.sqrt(3)*w-B+1)/3]}let Hs=(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr)=>{let he=qe.transform;return{u_is_size_zoom_constant:+(le===\"constant\"||le===\"source\"),u_is_size_feature_constant:+(le===\"constant\"||le===\"camera\"),u_size_t:w?w.uSizeT:0,u_size:w?w.uSize:0,u_camera_to_center_distance:he.cameraToCenterDistance,u_pitch:he.pitch/360*2*Math.PI,u_rotate_symbol:+B,u_aspect_ratio:he.width/he.height,u_fade_change:qe.options.fadeDuration?qe.symbolFadeChange:1,u_matrix:je,u_label_plane_matrix:it,u_coord_matrix:yt,u_is_text:+Nt,u_pitch_with_map:+Q,u_is_along_line:ee,u_is_variable_anchor:se,u_texsize:hr,u_texture:0,u_translation:Ot,u_pitched_scale:Sr}},Eo=(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr,he)=>{let be=qe.transform;return a.e(Hs(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,he),{u_gamma_scale:Q?Math.cos(be._pitch)*be.cameraToCenterDistance:1,u_device_pixel_ratio:qe.pixelRatio,u_is_halo:+Sr})},fs=(le,w,B,Q,ee,se,qe,je,it,yt,Ot,Nt,hr,Sr)=>a.e(Eo(le,w,B,Q,ee,se,qe,je,it,yt,Ot,!0,Nt,!0,Sr),{u_texsize_icon:hr,u_texture_icon:1}),$l=(le,w,B)=>({u_matrix:le,u_opacity:w,u_color:B}),Hu=(le,w,B,Q,ee,se)=>a.e(function(qe,je,it,yt){let Ot=it.imageManager.getPattern(qe.from.toString()),Nt=it.imageManager.getPattern(qe.to.toString()),{width:hr,height:Sr}=it.imageManager.getPixelSize(),he=Math.pow(2,yt.tileID.overscaledZ),be=yt.tileSize*Math.pow(2,it.transform.tileZoom)/he,Pe=be*(yt.tileID.canonical.x+yt.tileID.wrap*he),Oe=be*yt.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:Ot.tl,u_pattern_br_a:Ot.br,u_pattern_tl_b:Nt.tl,u_pattern_br_b:Nt.br,u_texsize:[hr,Sr],u_mix:je.t,u_pattern_size_a:Ot.displaySize,u_pattern_size_b:Nt.displaySize,u_scale_a:je.fromScale,u_scale_b:je.toScale,u_tile_units_to_pixels:1/nn(yt,1,it.transform.tileZoom),u_pixel_coord_upper:[Pe>>16,Oe>>16],u_pixel_coord_lower:[65535&Pe,65535&Oe]}}(Q,se,B,ee),{u_matrix:le,u_opacity:w}),fc={fillExtrusion:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_lightpos:new a.aN(le,w.u_lightpos),u_lightintensity:new a.aI(le,w.u_lightintensity),u_lightcolor:new a.aN(le,w.u_lightcolor),u_vertical_gradient:new a.aI(le,w.u_vertical_gradient),u_opacity:new a.aI(le,w.u_opacity)}),fillExtrusionPattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_lightpos:new a.aN(le,w.u_lightpos),u_lightintensity:new a.aI(le,w.u_lightintensity),u_lightcolor:new a.aN(le,w.u_lightcolor),u_vertical_gradient:new a.aI(le,w.u_vertical_gradient),u_height_factor:new a.aI(le,w.u_height_factor),u_image:new a.aH(le,w.u_image),u_texsize:new a.aO(le,w.u_texsize),u_pixel_coord_upper:new a.aO(le,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(le,w.u_pixel_coord_lower),u_scale:new a.aN(le,w.u_scale),u_fade:new a.aI(le,w.u_fade),u_opacity:new a.aI(le,w.u_opacity)}),fill:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix)}),fillPattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_image:new a.aH(le,w.u_image),u_texsize:new a.aO(le,w.u_texsize),u_pixel_coord_upper:new a.aO(le,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(le,w.u_pixel_coord_lower),u_scale:new a.aN(le,w.u_scale),u_fade:new a.aI(le,w.u_fade)}),fillOutline:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_world:new a.aO(le,w.u_world)}),fillOutlinePattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_world:new a.aO(le,w.u_world),u_image:new a.aH(le,w.u_image),u_texsize:new a.aO(le,w.u_texsize),u_pixel_coord_upper:new a.aO(le,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(le,w.u_pixel_coord_lower),u_scale:new a.aN(le,w.u_scale),u_fade:new a.aI(le,w.u_fade)}),circle:(le,w)=>({u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_scale_with_map:new a.aH(le,w.u_scale_with_map),u_pitch_with_map:new a.aH(le,w.u_pitch_with_map),u_extrude_scale:new a.aO(le,w.u_extrude_scale),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_matrix:new a.aJ(le,w.u_matrix)}),collisionBox:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_pixel_extrude_scale:new a.aO(le,w.u_pixel_extrude_scale)}),collisionCircle:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_inv_matrix:new a.aJ(le,w.u_inv_matrix),u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_viewport_size:new a.aO(le,w.u_viewport_size)}),debug:(le,w)=>({u_color:new a.aL(le,w.u_color),u_matrix:new a.aJ(le,w.u_matrix),u_overlay:new a.aH(le,w.u_overlay),u_overlay_scale:new a.aI(le,w.u_overlay_scale)}),clippingMask:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix)}),heatmap:(le,w)=>({u_extrude_scale:new a.aI(le,w.u_extrude_scale),u_intensity:new a.aI(le,w.u_intensity),u_matrix:new a.aJ(le,w.u_matrix)}),heatmapTexture:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_world:new a.aO(le,w.u_world),u_image:new a.aH(le,w.u_image),u_color_ramp:new a.aH(le,w.u_color_ramp),u_opacity:new a.aI(le,w.u_opacity)}),hillshade:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_image:new a.aH(le,w.u_image),u_latrange:new a.aO(le,w.u_latrange),u_light:new a.aO(le,w.u_light),u_shadow:new a.aL(le,w.u_shadow),u_highlight:new a.aL(le,w.u_highlight),u_accent:new a.aL(le,w.u_accent)}),hillshadePrepare:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_image:new a.aH(le,w.u_image),u_dimension:new a.aO(le,w.u_dimension),u_zoom:new a.aI(le,w.u_zoom),u_unpack:new a.aK(le,w.u_unpack)}),line:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_ratio:new a.aI(le,w.u_ratio),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_units_to_pixels:new a.aO(le,w.u_units_to_pixels)}),lineGradient:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_ratio:new a.aI(le,w.u_ratio),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_units_to_pixels:new a.aO(le,w.u_units_to_pixels),u_image:new a.aH(le,w.u_image),u_image_height:new a.aI(le,w.u_image_height)}),linePattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_texsize:new a.aO(le,w.u_texsize),u_ratio:new a.aI(le,w.u_ratio),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_image:new a.aH(le,w.u_image),u_units_to_pixels:new a.aO(le,w.u_units_to_pixels),u_scale:new a.aN(le,w.u_scale),u_fade:new a.aI(le,w.u_fade)}),lineSDF:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_ratio:new a.aI(le,w.u_ratio),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_units_to_pixels:new a.aO(le,w.u_units_to_pixels),u_patternscale_a:new a.aO(le,w.u_patternscale_a),u_patternscale_b:new a.aO(le,w.u_patternscale_b),u_sdfgamma:new a.aI(le,w.u_sdfgamma),u_image:new a.aH(le,w.u_image),u_tex_y_a:new a.aI(le,w.u_tex_y_a),u_tex_y_b:new a.aI(le,w.u_tex_y_b),u_mix:new a.aI(le,w.u_mix)}),raster:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_tl_parent:new a.aO(le,w.u_tl_parent),u_scale_parent:new a.aI(le,w.u_scale_parent),u_buffer_scale:new a.aI(le,w.u_buffer_scale),u_fade_t:new a.aI(le,w.u_fade_t),u_opacity:new a.aI(le,w.u_opacity),u_image0:new a.aH(le,w.u_image0),u_image1:new a.aH(le,w.u_image1),u_brightness_low:new a.aI(le,w.u_brightness_low),u_brightness_high:new a.aI(le,w.u_brightness_high),u_saturation_factor:new a.aI(le,w.u_saturation_factor),u_contrast_factor:new a.aI(le,w.u_contrast_factor),u_spin_weights:new a.aN(le,w.u_spin_weights)}),symbolIcon:(le,w)=>({u_is_size_zoom_constant:new a.aH(le,w.u_is_size_zoom_constant),u_is_size_feature_constant:new a.aH(le,w.u_is_size_feature_constant),u_size_t:new a.aI(le,w.u_size_t),u_size:new a.aI(le,w.u_size),u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_pitch:new a.aI(le,w.u_pitch),u_rotate_symbol:new a.aH(le,w.u_rotate_symbol),u_aspect_ratio:new a.aI(le,w.u_aspect_ratio),u_fade_change:new a.aI(le,w.u_fade_change),u_matrix:new a.aJ(le,w.u_matrix),u_label_plane_matrix:new a.aJ(le,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(le,w.u_coord_matrix),u_is_text:new a.aH(le,w.u_is_text),u_pitch_with_map:new a.aH(le,w.u_pitch_with_map),u_is_along_line:new a.aH(le,w.u_is_along_line),u_is_variable_anchor:new a.aH(le,w.u_is_variable_anchor),u_texsize:new a.aO(le,w.u_texsize),u_texture:new a.aH(le,w.u_texture),u_translation:new a.aO(le,w.u_translation),u_pitched_scale:new a.aI(le,w.u_pitched_scale)}),symbolSDF:(le,w)=>({u_is_size_zoom_constant:new a.aH(le,w.u_is_size_zoom_constant),u_is_size_feature_constant:new a.aH(le,w.u_is_size_feature_constant),u_size_t:new a.aI(le,w.u_size_t),u_size:new a.aI(le,w.u_size),u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_pitch:new a.aI(le,w.u_pitch),u_rotate_symbol:new a.aH(le,w.u_rotate_symbol),u_aspect_ratio:new a.aI(le,w.u_aspect_ratio),u_fade_change:new a.aI(le,w.u_fade_change),u_matrix:new a.aJ(le,w.u_matrix),u_label_plane_matrix:new a.aJ(le,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(le,w.u_coord_matrix),u_is_text:new a.aH(le,w.u_is_text),u_pitch_with_map:new a.aH(le,w.u_pitch_with_map),u_is_along_line:new a.aH(le,w.u_is_along_line),u_is_variable_anchor:new a.aH(le,w.u_is_variable_anchor),u_texsize:new a.aO(le,w.u_texsize),u_texture:new a.aH(le,w.u_texture),u_gamma_scale:new a.aI(le,w.u_gamma_scale),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_is_halo:new a.aH(le,w.u_is_halo),u_translation:new a.aO(le,w.u_translation),u_pitched_scale:new a.aI(le,w.u_pitched_scale)}),symbolTextAndIcon:(le,w)=>({u_is_size_zoom_constant:new a.aH(le,w.u_is_size_zoom_constant),u_is_size_feature_constant:new a.aH(le,w.u_is_size_feature_constant),u_size_t:new a.aI(le,w.u_size_t),u_size:new a.aI(le,w.u_size),u_camera_to_center_distance:new a.aI(le,w.u_camera_to_center_distance),u_pitch:new a.aI(le,w.u_pitch),u_rotate_symbol:new a.aH(le,w.u_rotate_symbol),u_aspect_ratio:new a.aI(le,w.u_aspect_ratio),u_fade_change:new a.aI(le,w.u_fade_change),u_matrix:new a.aJ(le,w.u_matrix),u_label_plane_matrix:new a.aJ(le,w.u_label_plane_matrix),u_coord_matrix:new a.aJ(le,w.u_coord_matrix),u_is_text:new a.aH(le,w.u_is_text),u_pitch_with_map:new a.aH(le,w.u_pitch_with_map),u_is_along_line:new a.aH(le,w.u_is_along_line),u_is_variable_anchor:new a.aH(le,w.u_is_variable_anchor),u_texsize:new a.aO(le,w.u_texsize),u_texsize_icon:new a.aO(le,w.u_texsize_icon),u_texture:new a.aH(le,w.u_texture),u_texture_icon:new a.aH(le,w.u_texture_icon),u_gamma_scale:new a.aI(le,w.u_gamma_scale),u_device_pixel_ratio:new a.aI(le,w.u_device_pixel_ratio),u_is_halo:new a.aH(le,w.u_is_halo),u_translation:new a.aO(le,w.u_translation),u_pitched_scale:new a.aI(le,w.u_pitched_scale)}),background:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_opacity:new a.aI(le,w.u_opacity),u_color:new a.aL(le,w.u_color)}),backgroundPattern:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_opacity:new a.aI(le,w.u_opacity),u_image:new a.aH(le,w.u_image),u_pattern_tl_a:new a.aO(le,w.u_pattern_tl_a),u_pattern_br_a:new a.aO(le,w.u_pattern_br_a),u_pattern_tl_b:new a.aO(le,w.u_pattern_tl_b),u_pattern_br_b:new a.aO(le,w.u_pattern_br_b),u_texsize:new a.aO(le,w.u_texsize),u_mix:new a.aI(le,w.u_mix),u_pattern_size_a:new a.aO(le,w.u_pattern_size_a),u_pattern_size_b:new a.aO(le,w.u_pattern_size_b),u_scale_a:new a.aI(le,w.u_scale_a),u_scale_b:new a.aI(le,w.u_scale_b),u_pixel_coord_upper:new a.aO(le,w.u_pixel_coord_upper),u_pixel_coord_lower:new a.aO(le,w.u_pixel_coord_lower),u_tile_units_to_pixels:new a.aI(le,w.u_tile_units_to_pixels)}),terrain:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_texture:new a.aH(le,w.u_texture),u_ele_delta:new a.aI(le,w.u_ele_delta),u_fog_matrix:new a.aJ(le,w.u_fog_matrix),u_fog_color:new a.aL(le,w.u_fog_color),u_fog_ground_blend:new a.aI(le,w.u_fog_ground_blend),u_fog_ground_blend_opacity:new a.aI(le,w.u_fog_ground_blend_opacity),u_horizon_color:new a.aL(le,w.u_horizon_color),u_horizon_fog_blend:new a.aI(le,w.u_horizon_fog_blend)}),terrainDepth:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_ele_delta:new a.aI(le,w.u_ele_delta)}),terrainCoords:(le,w)=>({u_matrix:new a.aJ(le,w.u_matrix),u_texture:new a.aH(le,w.u_texture),u_terrain_coords_id:new a.aI(le,w.u_terrain_coords_id),u_ele_delta:new a.aI(le,w.u_ele_delta)}),sky:(le,w)=>({u_sky_color:new a.aL(le,w.u_sky_color),u_horizon_color:new a.aL(le,w.u_horizon_color),u_horizon:new a.aI(le,w.u_horizon),u_sky_horizon_blend:new a.aI(le,w.u_sky_horizon_blend)})};class ms{constructor(w,B,Q){this.context=w;let ee=w.gl;this.buffer=ee.createBuffer(),this.dynamicDraw=!!Q,this.context.unbindVAO(),w.bindElementBuffer.set(this.buffer),ee.bufferData(ee.ELEMENT_ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?ee.DYNAMIC_DRAW:ee.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(w){let B=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),B.bufferSubData(B.ELEMENT_ARRAY_BUFFER,0,w.arrayBuffer)}destroy(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)}}let on={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class fa{constructor(w,B,Q,ee){this.length=B.length,this.attributes=Q,this.itemSize=B.bytesPerElement,this.dynamicDraw=ee,this.context=w;let se=w.gl;this.buffer=se.createBuffer(),w.bindVertexBuffer.set(this.buffer),se.bufferData(se.ARRAY_BUFFER,B.arrayBuffer,this.dynamicDraw?se.DYNAMIC_DRAW:se.STATIC_DRAW),this.dynamicDraw||delete B.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(w){if(w.length!==this.length)throw new Error(`Length of new data is ${w.length}, which doesn't match current length of ${this.length}`);let B=this.context.gl;this.bind(),B.bufferSubData(B.ARRAY_BUFFER,0,w.arrayBuffer)}enableAttributes(w,B){for(let Q=0;Q0){let Dt=a.H();a.aQ(Dt,He.placementInvProjMatrix,le.transform.glCoordMatrix),a.aQ(Dt,Dt,He.placementViewportMatrix),it.push({circleArray:Mt,circleOffset:Ot,transform:Je.posMatrix,invTransform:Dt,coord:Je}),yt+=Mt.length/4,Ot=yt}et&&je.draw(se,qe.LINES,wo.disabled,$o.disabled,le.colorModeForRenderPass(),Ja.disabled,{u_matrix:Je.posMatrix,u_pixel_extrude_scale:[1/(Nt=le.transform).width,1/Nt.height]},le.style.map.terrain&&le.style.map.terrain.getTerrainData(Je),B.id,et.layoutVertexBuffer,et.indexBuffer,et.segments,null,le.transform.zoom,null,null,et.collisionVertexBuffer)}var Nt;if(!ee||!it.length)return;let hr=le.useProgram(\"collisionCircle\"),Sr=new a.aR;Sr.resize(4*yt),Sr._trim();let he=0;for(let Oe of it)for(let Je=0;Je=0&&(Oe[He.associatedIconIndex]={shiftedAnchor:Mn,angle:pa})}else ai(He.numGlyphs,be)}if(yt){Pe.clear();let Je=le.icon.placedSymbolArray;for(let He=0;Hele.style.map.terrain.getElevation(zr,tt,zt):null,wt=B.layout.get(\"text-rotation-alignment\")===\"map\";Ve(di,zr.posMatrix,le,ee,Vl,cu,Oe,yt,wt,be,zr.toUnwrapped(),he.width,he.height,el,We)}let Dl=zr.posMatrix,zl=ee&&tr||zc,Z=Je||zl?uu:Vl,oe=Zu,we=Qi&&B.paint.get(ee?\"text-halo-width\":\"icon-halo-width\").constantOr(1)!==0,Be;Be=Qi?di.iconsInText?fs(Mn.kind,Ga,He,Oe,Je,zl,le,Dl,Z,oe,el,Wa,As,Rr):Eo(Mn.kind,Ga,He,Oe,Je,zl,le,Dl,Z,oe,el,ee,Wa,!0,Rr):Hs(Mn.kind,Ga,He,Oe,Je,zl,le,Dl,Z,oe,el,ee,Wa,Rr);let Ue={program:ea,buffers:Li,uniformValues:Be,atlasTexture:co,atlasTextureIcon:yo,atlasInterpolation:Ro,atlasInterpolationIcon:Ds,isSDF:Qi,hasHalo:we};if(Mt&&di.canOverlap){Dt=!0;let We=Li.segments.get();for(let wt of We)mr.push({segments:new a.a0([wt]),sortKey:wt.sortKey,state:Ue,terrainData:To})}else mr.push({segments:Li.segments,sortKey:0,state:Ue,terrainData:To})}Dt&&mr.sort((zr,Xr)=>zr.sortKey-Xr.sortKey);for(let zr of mr){let Xr=zr.state;if(hr.activeTexture.set(Sr.TEXTURE0),Xr.atlasTexture.bind(Xr.atlasInterpolation,Sr.CLAMP_TO_EDGE),Xr.atlasTextureIcon&&(hr.activeTexture.set(Sr.TEXTURE1),Xr.atlasTextureIcon&&Xr.atlasTextureIcon.bind(Xr.atlasInterpolationIcon,Sr.CLAMP_TO_EDGE)),Xr.isSDF){let di=Xr.uniformValues;Xr.hasHalo&&(di.u_is_halo=1,Eh(Xr.buffers,zr.segments,B,le,Xr.program,Ut,Ot,Nt,di,zr.terrainData)),di.u_is_halo=0}Eh(Xr.buffers,zr.segments,B,le,Xr.program,Ut,Ot,Nt,Xr.uniformValues,zr.terrainData)}}function Eh(le,w,B,Q,ee,se,qe,je,it,yt){let Ot=Q.context;ee.draw(Ot,Ot.gl.TRIANGLES,se,qe,je,Ja.disabled,it,yt,B.id,le.layoutVertexBuffer,le.indexBuffer,w,B.paint,Q.transform.zoom,le.programConfigurations.get(B.id),le.dynamicLayoutVertexBuffer,le.opacityVertexBuffer)}function nh(le,w,B,Q){let ee=le.context,se=ee.gl,qe=$o.disabled,je=new Ps([se.ONE,se.ONE],a.aM.transparent,[!0,!0,!0,!0]),it=w.getBucket(B);if(!it)return;let yt=Q.key,Ot=B.heatmapFbos.get(yt);Ot||(Ot=kh(ee,w.tileSize,w.tileSize),B.heatmapFbos.set(yt,Ot)),ee.bindFramebuffer.set(Ot.framebuffer),ee.viewport.set([0,0,w.tileSize,w.tileSize]),ee.clear({color:a.aM.transparent});let Nt=it.programConfigurations.get(B.id),hr=le.useProgram(\"heatmap\",Nt),Sr=le.style.map.terrain.getTerrainData(Q);hr.draw(ee,se.TRIANGLES,wo.disabled,qe,je,Ja.disabled,xo(Q.posMatrix,w,le.transform.zoom,B.paint.get(\"heatmap-intensity\")),Sr,B.id,it.layoutVertexBuffer,it.indexBuffer,it.segments,B.paint,le.transform.zoom,Nt)}function hf(le,w,B){let Q=le.context,ee=Q.gl;Q.setColorMode(le.colorModeForRenderPass());let se=Kh(Q,w),qe=B.key,je=w.heatmapFbos.get(qe);je&&(Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,je.colorAttachment.get()),Q.activeTexture.set(ee.TEXTURE1),se.bind(ee.LINEAR,ee.CLAMP_TO_EDGE),le.useProgram(\"heatmapTexture\").draw(Q,ee.TRIANGLES,wo.disabled,$o.disabled,le.colorModeForRenderPass(),Ja.disabled,zs(le,w,0,1),null,w.id,le.rasterBoundsBuffer,le.quadTriangleIndexBuffer,le.rasterBoundsSegments,w.paint,le.transform.zoom),je.destroy(),w.heatmapFbos.delete(qe))}function kh(le,w,B){var Q,ee;let se=le.gl,qe=se.createTexture();se.bindTexture(se.TEXTURE_2D,qe),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_WRAP_S,se.CLAMP_TO_EDGE),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_WRAP_T,se.CLAMP_TO_EDGE),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_MIN_FILTER,se.LINEAR),se.texParameteri(se.TEXTURE_2D,se.TEXTURE_MAG_FILTER,se.LINEAR);let je=(Q=le.HALF_FLOAT)!==null&&Q!==void 0?Q:se.UNSIGNED_BYTE,it=(ee=le.RGBA16F)!==null&&ee!==void 0?ee:se.RGBA;se.texImage2D(se.TEXTURE_2D,0,it,w,B,0,se.RGBA,je,null);let yt=le.createFramebuffer(w,B,!1,!1);return yt.colorAttachment.set(qe),yt}function Kh(le,w){return w.colorRampTexture||(w.colorRampTexture=new p(le,w.colorRamp,le.gl.RGBA)),w.colorRampTexture}function rc(le,w,B,Q,ee){if(!B||!Q||!Q.imageAtlas)return;let se=Q.imageAtlas.patternPositions,qe=se[B.to.toString()],je=se[B.from.toString()];if(!qe&&je&&(qe=je),!je&&qe&&(je=qe),!qe||!je){let it=ee.getPaintProperty(w);qe=se[it],je=se[it]}qe&&je&&le.setConstantPatternPositions(qe,je)}function ah(le,w,B,Q,ee,se,qe){let je=le.context.gl,it=\"fill-pattern\",yt=B.paint.get(it),Ot=yt&&yt.constantOr(1),Nt=B.getCrossfadeParameters(),hr,Sr,he,be,Pe;qe?(Sr=Ot&&!B.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",hr=je.LINES):(Sr=Ot?\"fillPattern\":\"fill\",hr=je.TRIANGLES);let Oe=yt.constantOr(null);for(let Je of Q){let He=w.getTile(Je);if(Ot&&!He.patternsLoaded())continue;let et=He.getBucket(B);if(!et)continue;let Mt=et.programConfigurations.get(B.id),Dt=le.useProgram(Sr,Mt),Ut=le.style.map.terrain&&le.style.map.terrain.getTerrainData(Je);Ot&&(le.context.activeTexture.set(je.TEXTURE0),He.imageAtlasTexture.bind(je.LINEAR,je.CLAMP_TO_EDGE),Mt.updatePaintBuffers(Nt)),rc(Mt,it,Oe,He,B);let tr=Ut?Je:null,mr=le.translatePosMatrix(tr?tr.posMatrix:Je.posMatrix,He,B.paint.get(\"fill-translate\"),B.paint.get(\"fill-translate-anchor\"));if(qe){be=et.indexBuffer2,Pe=et.segments2;let Rr=[je.drawingBufferWidth,je.drawingBufferHeight];he=Sr===\"fillOutlinePattern\"&&Ot?Sa(mr,le,Nt,He,Rr):Fn(mr,Rr)}else be=et.indexBuffer,Pe=et.segments,he=Ot?ua(mr,le,Nt,He):Ji(mr);Dt.draw(le.context,hr,ee,le.stencilModeForClipping(Je),se,Ja.disabled,he,Ut,B.id,et.layoutVertexBuffer,be,Pe,B.paint,le.transform.zoom,Mt)}}function Wc(le,w,B,Q,ee,se,qe){let je=le.context,it=je.gl,yt=\"fill-extrusion-pattern\",Ot=B.paint.get(yt),Nt=Ot.constantOr(1),hr=B.getCrossfadeParameters(),Sr=B.paint.get(\"fill-extrusion-opacity\"),he=Ot.constantOr(null);for(let be of Q){let Pe=w.getTile(be),Oe=Pe.getBucket(B);if(!Oe)continue;let Je=le.style.map.terrain&&le.style.map.terrain.getTerrainData(be),He=Oe.programConfigurations.get(B.id),et=le.useProgram(Nt?\"fillExtrusionPattern\":\"fillExtrusion\",He);Nt&&(le.context.activeTexture.set(it.TEXTURE0),Pe.imageAtlasTexture.bind(it.LINEAR,it.CLAMP_TO_EDGE),He.updatePaintBuffers(hr)),rc(He,yt,he,Pe,B);let Mt=le.translatePosMatrix(be.posMatrix,Pe,B.paint.get(\"fill-extrusion-translate\"),B.paint.get(\"fill-extrusion-translate-anchor\")),Dt=B.paint.get(\"fill-extrusion-vertical-gradient\"),Ut=Nt?hi(Mt,le,Dt,Sr,be,hr,Pe):an(Mt,le,Dt,Sr);et.draw(je,je.gl.TRIANGLES,ee,se,qe,Ja.backCCW,Ut,Je,B.id,Oe.layoutVertexBuffer,Oe.indexBuffer,Oe.segments,B.paint,le.transform.zoom,He,le.style.map.terrain&&Oe.centroidVertexBuffer)}}function df(le,w,B,Q,ee,se,qe){let je=le.context,it=je.gl,yt=B.fbo;if(!yt)return;let Ot=le.useProgram(\"hillshade\"),Nt=le.style.map.terrain&&le.style.map.terrain.getTerrainData(w);je.activeTexture.set(it.TEXTURE0),it.bindTexture(it.TEXTURE_2D,yt.colorAttachment.get()),Ot.draw(je,it.TRIANGLES,ee,se,qe,Ja.disabled,((hr,Sr,he,be)=>{let Pe=he.paint.get(\"hillshade-shadow-color\"),Oe=he.paint.get(\"hillshade-highlight-color\"),Je=he.paint.get(\"hillshade-accent-color\"),He=he.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);he.paint.get(\"hillshade-illumination-anchor\")===\"viewport\"&&(He-=hr.transform.angle);let et=!hr.options.moving;return{u_matrix:be?be.posMatrix:hr.transform.calculatePosMatrix(Sr.tileID.toUnwrapped(),et),u_image:0,u_latrange:ks(0,Sr.tileID),u_light:[he.paint.get(\"hillshade-exaggeration\"),He],u_shadow:Pe,u_highlight:Oe,u_accent:Je}})(le,B,Q,Nt?w:null),Nt,Q.id,le.rasterBoundsBuffer,le.quadTriangleIndexBuffer,le.rasterBoundsSegments)}function Cu(le,w,B,Q,ee,se){let qe=le.context,je=qe.gl,it=w.dem;if(it&&it.data){let yt=it.dim,Ot=it.stride,Nt=it.getPixels();if(qe.activeTexture.set(je.TEXTURE1),qe.pixelStoreUnpackPremultiplyAlpha.set(!1),w.demTexture=w.demTexture||le.getTileTexture(Ot),w.demTexture){let Sr=w.demTexture;Sr.update(Nt,{premultiply:!1}),Sr.bind(je.NEAREST,je.CLAMP_TO_EDGE)}else w.demTexture=new p(qe,Nt,je.RGBA,{premultiply:!1}),w.demTexture.bind(je.NEAREST,je.CLAMP_TO_EDGE);qe.activeTexture.set(je.TEXTURE0);let hr=w.fbo;if(!hr){let Sr=new p(qe,{width:yt,height:yt,data:null},je.RGBA);Sr.bind(je.LINEAR,je.CLAMP_TO_EDGE),hr=w.fbo=qe.createFramebuffer(yt,yt,!0,!1),hr.colorAttachment.set(Sr.texture)}qe.bindFramebuffer.set(hr.framebuffer),qe.viewport.set([0,0,yt,yt]),le.useProgram(\"hillshadePrepare\").draw(qe,je.TRIANGLES,Q,ee,se,Ja.disabled,((Sr,he)=>{let be=he.stride,Pe=a.H();return a.aP(Pe,0,a.X,-a.X,0,0,1),a.J(Pe,Pe,[0,-a.X,0]),{u_matrix:Pe,u_image:1,u_dimension:[be,be],u_zoom:Sr.overscaledZ,u_unpack:he.getUnpackVector()}})(w.tileID,it),null,B.id,le.rasterBoundsBuffer,le.quadTriangleIndexBuffer,le.rasterBoundsSegments),w.needsHillshadePrepare=!1}}function Nf(le,w,B,Q,ee,se){let qe=Q.paint.get(\"raster-fade-duration\");if(!se&&qe>0){let je=u.now(),it=(je-le.timeAdded)/qe,yt=w?(je-w.timeAdded)/qe:-1,Ot=B.getSource(),Nt=ee.coveringZoomLevel({tileSize:Ot.tileSize,roundZoom:Ot.roundZoom}),hr=!w||Math.abs(w.tileID.overscaledZ-Nt)>Math.abs(le.tileID.overscaledZ-Nt),Sr=hr&&le.refreshedUponExpiration?1:a.ac(hr?it:1-yt,0,1);return le.refreshedUponExpiration&&it>=1&&(le.refreshedUponExpiration=!1),w?{opacity:1,mix:1-Sr}:{opacity:Sr,mix:0}}return{opacity:1,mix:0}}let Zc=new a.aM(1,0,0,1),ds=new a.aM(0,1,0,1),Ch=new a.aM(0,0,1,1),Bd=new a.aM(1,0,1,1),Jh=new a.aM(0,1,1,1);function Cf(le,w,B,Q){Lu(le,0,w+B/2,le.transform.width,B,Q)}function pd(le,w,B,Q){Lu(le,w-B/2,0,B,le.transform.height,Q)}function Lu(le,w,B,Q,ee,se){let qe=le.context,je=qe.gl;je.enable(je.SCISSOR_TEST),je.scissor(w*le.pixelRatio,B*le.pixelRatio,Q*le.pixelRatio,ee*le.pixelRatio),qe.clear({color:se}),je.disable(je.SCISSOR_TEST)}function $h(le,w,B){let Q=le.context,ee=Q.gl,se=B.posMatrix,qe=le.useProgram(\"debug\"),je=wo.disabled,it=$o.disabled,yt=le.colorModeForRenderPass(),Ot=\"$debug\",Nt=le.style.map.terrain&&le.style.map.terrain.getTerrainData(B);Q.activeTexture.set(ee.TEXTURE0);let hr=w.getTileByID(B.key).latestRawTileData,Sr=Math.floor((hr&&hr.byteLength||0)/1024),he=w.getTile(B).tileSize,be=512/Math.min(he,512)*(B.overscaledZ/le.transform.zoom)*.5,Pe=B.canonical.toString();B.overscaledZ!==B.canonical.z&&(Pe+=` => ${B.overscaledZ}`),function(Oe,Je){Oe.initDebugOverlayCanvas();let He=Oe.debugOverlayCanvas,et=Oe.context.gl,Mt=Oe.debugOverlayCanvas.getContext(\"2d\");Mt.clearRect(0,0,He.width,He.height),Mt.shadowColor=\"white\",Mt.shadowBlur=2,Mt.lineWidth=1.5,Mt.strokeStyle=\"white\",Mt.textBaseline=\"top\",Mt.font=\"bold 36px Open Sans, sans-serif\",Mt.fillText(Je,5,5),Mt.strokeText(Je,5,5),Oe.debugOverlayTexture.update(He),Oe.debugOverlayTexture.bind(et.LINEAR,et.CLAMP_TO_EDGE)}(le,`${Pe} ${Sr}kB`),qe.draw(Q,ee.TRIANGLES,je,it,Ps.alphaBlended,Ja.disabled,ho(se,a.aM.transparent,be),null,Ot,le.debugBuffer,le.quadTriangleIndexBuffer,le.debugSegments),qe.draw(Q,ee.LINE_STRIP,je,it,yt,Ja.disabled,ho(se,a.aM.red),Nt,Ot,le.debugBuffer,le.tileBorderIndexBuffer,le.debugSegments)}function eu(le,w,B){let Q=le.context,ee=Q.gl,se=le.colorModeForRenderPass(),qe=new wo(ee.LEQUAL,wo.ReadWrite,le.depthRangeFor3D),je=le.useProgram(\"terrain\"),it=w.getTerrainMesh();Q.bindFramebuffer.set(null),Q.viewport.set([0,0,le.width,le.height]);for(let yt of B){let Ot=le.renderToTexture.getTexture(yt),Nt=w.getTerrainData(yt.tileID);Q.activeTexture.set(ee.TEXTURE0),ee.bindTexture(ee.TEXTURE_2D,Ot.texture);let hr=le.transform.calculatePosMatrix(yt.tileID.toUnwrapped()),Sr=w.getMeshFrameDelta(le.transform.zoom),he=le.transform.calculateFogMatrix(yt.tileID.toUnwrapped()),be=Hr(hr,Sr,he,le.style.sky,le.transform.pitch);je.draw(Q,ee.TRIANGLES,qe,$o.disabled,se,Ja.backCCW,be,Nt,\"terrain\",it.vertexBuffer,it.indexBuffer,it.segments)}}class Pu{constructor(w,B,Q){this.vertexBuffer=w,this.indexBuffer=B,this.segments=Q}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Lc{constructor(w,B){this.context=new ov(w),this.transform=B,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:a.an(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=dt.maxUnderzooming+dt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new jo}resize(w,B,Q){if(this.width=Math.floor(w*Q),this.height=Math.floor(B*Q),this.pixelRatio=Q,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(let ee of this.style._order)this.style._layers[ee].resize()}setup(){let w=this.context,B=new a.aX;B.emplaceBack(0,0),B.emplaceBack(a.X,0),B.emplaceBack(0,a.X),B.emplaceBack(a.X,a.X),this.tileExtentBuffer=w.createVertexBuffer(B,oo.members),this.tileExtentSegments=a.a0.simpleSegment(0,0,4,2);let Q=new a.aX;Q.emplaceBack(0,0),Q.emplaceBack(a.X,0),Q.emplaceBack(0,a.X),Q.emplaceBack(a.X,a.X),this.debugBuffer=w.createVertexBuffer(Q,oo.members),this.debugSegments=a.a0.simpleSegment(0,0,4,5);let ee=new a.$;ee.emplaceBack(0,0,0,0),ee.emplaceBack(a.X,0,a.X,0),ee.emplaceBack(0,a.X,0,a.X),ee.emplaceBack(a.X,a.X,a.X,a.X),this.rasterBoundsBuffer=w.createVertexBuffer(ee,ot.members),this.rasterBoundsSegments=a.a0.simpleSegment(0,0,4,2);let se=new a.aX;se.emplaceBack(0,0),se.emplaceBack(1,0),se.emplaceBack(0,1),se.emplaceBack(1,1),this.viewportBuffer=w.createVertexBuffer(se,oo.members),this.viewportSegments=a.a0.simpleSegment(0,0,4,2);let qe=new a.aZ;qe.emplaceBack(0),qe.emplaceBack(1),qe.emplaceBack(3),qe.emplaceBack(2),qe.emplaceBack(0),this.tileBorderIndexBuffer=w.createIndexBuffer(qe);let je=new a.aY;je.emplaceBack(0,1,2),je.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=w.createIndexBuffer(je);let it=this.context.gl;this.stencilClearMode=new $o({func:it.ALWAYS,mask:0},0,255,it.ZERO,it.ZERO,it.ZERO)}clearStencil(){let w=this.context,B=w.gl;this.nextStencilID=1,this.currentStencilSource=void 0;let Q=a.H();a.aP(Q,0,this.width,this.height,0,0,1),a.K(Q,Q,[B.drawingBufferWidth,B.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(w,B.TRIANGLES,wo.disabled,this.stencilClearMode,Ps.disabled,Ja.disabled,Mo(Q),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(w,B){if(this.currentStencilSource===w.source||!w.isTileClipped()||!B||!B.length)return;this.currentStencilSource=w.source;let Q=this.context,ee=Q.gl;this.nextStencilID+B.length>256&&this.clearStencil(),Q.setColorMode(Ps.disabled),Q.setDepthMode(wo.disabled);let se=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(let qe of B){let je=this._tileClippingMaskIDs[qe.key]=this.nextStencilID++,it=this.style.map.terrain&&this.style.map.terrain.getTerrainData(qe);se.draw(Q,ee.TRIANGLES,wo.disabled,new $o({func:ee.ALWAYS,mask:0},je,255,ee.KEEP,ee.KEEP,ee.REPLACE),Ps.disabled,Ja.disabled,Mo(qe.posMatrix),it,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();let w=this.nextStencilID++,B=this.context.gl;return new $o({func:B.NOTEQUAL,mask:255},w,255,B.KEEP,B.KEEP,B.REPLACE)}stencilModeForClipping(w){let B=this.context.gl;return new $o({func:B.EQUAL,mask:255},this._tileClippingMaskIDs[w.key],0,B.KEEP,B.KEEP,B.REPLACE)}stencilConfigForOverlap(w){let B=this.context.gl,Q=w.sort((qe,je)=>je.overscaledZ-qe.overscaledZ),ee=Q[Q.length-1].overscaledZ,se=Q[0].overscaledZ-ee+1;if(se>1){this.currentStencilSource=void 0,this.nextStencilID+se>256&&this.clearStencil();let qe={};for(let je=0;je({u_sky_color:Oe.properties.get(\"sky-color\"),u_horizon_color:Oe.properties.get(\"horizon-color\"),u_horizon:(Je.height/2+Je.getHorizon())*He,u_sky_horizon_blend:Oe.properties.get(\"sky-horizon-blend\")*Je.height/2*He}))(yt,it.style.map.transform,it.pixelRatio),Sr=new wo(Nt.LEQUAL,wo.ReadWrite,[0,1]),he=$o.disabled,be=it.colorModeForRenderPass(),Pe=it.useProgram(\"sky\");if(!yt.mesh){let Oe=new a.aX;Oe.emplaceBack(-1,-1),Oe.emplaceBack(1,-1),Oe.emplaceBack(1,1),Oe.emplaceBack(-1,1);let Je=new a.aY;Je.emplaceBack(0,1,2),Je.emplaceBack(0,2,3),yt.mesh=new Pu(Ot.createVertexBuffer(Oe,oo.members),Ot.createIndexBuffer(Je),a.a0.simpleSegment(0,0,Oe.length,Je.length))}Pe.draw(Ot,Nt.TRIANGLES,Sr,he,be,Ja.disabled,hr,void 0,\"sky\",yt.mesh.vertexBuffer,yt.mesh.indexBuffer,yt.mesh.segments)}(this,this.style.sky),this._showOverdrawInspector=B.showOverdrawInspector,this.depthRangeFor3D=[0,1-(w._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=Q.length-1;this.currentLayer>=0;this.currentLayer--){let it=this.style._layers[Q[this.currentLayer]],yt=ee[it.source],Ot=se[it.source];this._renderTileClippingMasks(it,Ot),this.renderLayer(this,yt,it,Ot)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayerPe.source&&!Pe.isHidden(Ot)?[yt.sourceCaches[Pe.source]]:[]),Sr=hr.filter(Pe=>Pe.getSource().type===\"vector\"),he=hr.filter(Pe=>Pe.getSource().type!==\"vector\"),be=Pe=>{(!Nt||Nt.getSource().maxzoombe(Pe)),Nt||he.forEach(Pe=>be(Pe)),Nt}(this.style,this.transform.zoom);it&&function(yt,Ot,Nt){for(let hr=0;hr0),ee&&(a.b0(B,Q),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,function(se,qe){let je=se.context,it=je.gl,yt=Ps.unblended,Ot=new wo(it.LEQUAL,wo.ReadWrite,[0,1]),Nt=qe.getTerrainMesh(),hr=qe.sourceCache.getRenderableTiles(),Sr=se.useProgram(\"terrainDepth\");je.bindFramebuffer.set(qe.getFramebuffer(\"depth\").framebuffer),je.viewport.set([0,0,se.width/devicePixelRatio,se.height/devicePixelRatio]),je.clear({color:a.aM.transparent,depth:1});for(let he of hr){let be=qe.getTerrainData(he.tileID),Pe={u_matrix:se.transform.calculatePosMatrix(he.tileID.toUnwrapped()),u_ele_delta:qe.getMeshFrameDelta(se.transform.zoom)};Sr.draw(je,it.TRIANGLES,Ot,$o.disabled,yt,Ja.backCCW,Pe,be,\"terrain\",Nt.vertexBuffer,Nt.indexBuffer,Nt.segments)}je.bindFramebuffer.set(null),je.viewport.set([0,0,se.width,se.height])}(this,this.style.map.terrain),function(se,qe){let je=se.context,it=je.gl,yt=Ps.unblended,Ot=new wo(it.LEQUAL,wo.ReadWrite,[0,1]),Nt=qe.getTerrainMesh(),hr=qe.getCoordsTexture(),Sr=qe.sourceCache.getRenderableTiles(),he=se.useProgram(\"terrainCoords\");je.bindFramebuffer.set(qe.getFramebuffer(\"coords\").framebuffer),je.viewport.set([0,0,se.width/devicePixelRatio,se.height/devicePixelRatio]),je.clear({color:a.aM.transparent,depth:1}),qe.coordsIndex=[];for(let be of Sr){let Pe=qe.getTerrainData(be.tileID);je.activeTexture.set(it.TEXTURE0),it.bindTexture(it.TEXTURE_2D,hr.texture);let Oe={u_matrix:se.transform.calculatePosMatrix(be.tileID.toUnwrapped()),u_terrain_coords_id:(255-qe.coordsIndex.length)/255,u_texture:0,u_ele_delta:qe.getMeshFrameDelta(se.transform.zoom)};he.draw(je,it.TRIANGLES,Ot,$o.disabled,yt,Ja.backCCW,Oe,Pe,\"terrain\",Nt.vertexBuffer,Nt.indexBuffer,Nt.segments),qe.coordsIndex.push(be.tileID.key)}je.bindFramebuffer.set(null),je.viewport.set([0,0,se.width,se.height])}(this,this.style.map.terrain))}renderLayer(w,B,Q,ee){if(!Q.isHidden(this.transform.zoom)&&(Q.type===\"background\"||Q.type===\"custom\"||(ee||[]).length))switch(this.id=Q.id,Q.type){case\"symbol\":(function(se,qe,je,it,yt){if(se.renderPass!==\"translucent\")return;let Ot=$o.disabled,Nt=se.colorModeForRenderPass();(je._unevaluatedLayout.hasValue(\"text-variable-anchor\")||je._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&function(hr,Sr,he,be,Pe,Oe,Je,He,et){let Mt=Sr.transform,Dt=Gi(),Ut=Pe===\"map\",tr=Oe===\"map\";for(let mr of hr){let Rr=be.getTile(mr),zr=Rr.getBucket(he);if(!zr||!zr.text||!zr.text.segments.get().length)continue;let Xr=a.ag(zr.textSizeData,Mt.zoom),di=nn(Rr,1,Sr.transform.zoom),Li=Or(mr.posMatrix,tr,Ut,Sr.transform,di),Ci=he.layout.get(\"icon-text-fit\")!==\"none\"&&zr.hasIconData();if(Xr){let Qi=Math.pow(2,Mt.zoom-Rr.tileID.overscaledZ),Mn=Sr.style.map.terrain?(ea,Ga)=>Sr.style.map.terrain.getElevation(mr,ea,Ga):null,pa=Dt.translatePosition(Mt,Rr,Je,He);kf(zr,Ut,tr,et,Mt,Li,mr.posMatrix,Qi,Xr,Ci,Dt,pa,mr.toUnwrapped(),Mn)}}}(it,se,je,qe,je.layout.get(\"text-rotation-alignment\"),je.layout.get(\"text-pitch-alignment\"),je.paint.get(\"text-translate\"),je.paint.get(\"text-translate-anchor\"),yt),je.paint.get(\"icon-opacity\").constantOr(1)!==0&&Yh(se,qe,je,it,!1,je.paint.get(\"icon-translate\"),je.paint.get(\"icon-translate-anchor\"),je.layout.get(\"icon-rotation-alignment\"),je.layout.get(\"icon-pitch-alignment\"),je.layout.get(\"icon-keep-upright\"),Ot,Nt),je.paint.get(\"text-opacity\").constantOr(1)!==0&&Yh(se,qe,je,it,!0,je.paint.get(\"text-translate\"),je.paint.get(\"text-translate-anchor\"),je.layout.get(\"text-rotation-alignment\"),je.layout.get(\"text-pitch-alignment\"),je.layout.get(\"text-keep-upright\"),Ot,Nt),qe.map.showCollisionBoxes&&(tc(se,qe,je,it,!0),tc(se,qe,je,it,!1))})(w,B,Q,ee,this.style.placement.variableOffsets);break;case\"circle\":(function(se,qe,je,it){if(se.renderPass!==\"translucent\")return;let yt=je.paint.get(\"circle-opacity\"),Ot=je.paint.get(\"circle-stroke-width\"),Nt=je.paint.get(\"circle-stroke-opacity\"),hr=!je.layout.get(\"circle-sort-key\").isConstant();if(yt.constantOr(1)===0&&(Ot.constantOr(1)===0||Nt.constantOr(1)===0))return;let Sr=se.context,he=Sr.gl,be=se.depthModeForSublayer(0,wo.ReadOnly),Pe=$o.disabled,Oe=se.colorModeForRenderPass(),Je=[];for(let He=0;HeHe.sortKey-et.sortKey);for(let He of Je){let{programConfiguration:et,program:Mt,layoutVertexBuffer:Dt,indexBuffer:Ut,uniformValues:tr,terrainData:mr}=He.state;Mt.draw(Sr,he.TRIANGLES,be,Pe,Oe,Ja.disabled,tr,mr,je.id,Dt,Ut,He.segments,je.paint,se.transform.zoom,et)}})(w,B,Q,ee);break;case\"heatmap\":(function(se,qe,je,it){if(je.paint.get(\"heatmap-opacity\")===0)return;let yt=se.context;if(se.style.map.terrain){for(let Ot of it){let Nt=qe.getTile(Ot);qe.hasRenderableParent(Ot)||(se.renderPass===\"offscreen\"?nh(se,Nt,je,Ot):se.renderPass===\"translucent\"&&hf(se,je,Ot))}yt.viewport.set([0,0,se.width,se.height])}else se.renderPass===\"offscreen\"?function(Ot,Nt,hr,Sr){let he=Ot.context,be=he.gl,Pe=$o.disabled,Oe=new Ps([be.ONE,be.ONE],a.aM.transparent,[!0,!0,!0,!0]);(function(Je,He,et){let Mt=Je.gl;Je.activeTexture.set(Mt.TEXTURE1),Je.viewport.set([0,0,He.width/4,He.height/4]);let Dt=et.heatmapFbos.get(a.aU);Dt?(Mt.bindTexture(Mt.TEXTURE_2D,Dt.colorAttachment.get()),Je.bindFramebuffer.set(Dt.framebuffer)):(Dt=kh(Je,He.width/4,He.height/4),et.heatmapFbos.set(a.aU,Dt))})(he,Ot,hr),he.clear({color:a.aM.transparent});for(let Je=0;Je20&&Ot.texParameterf(Ot.TEXTURE_2D,yt.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,yt.extTextureFilterAnisotropicMax);let zr=se.style.map.terrain&&se.style.map.terrain.getTerrainData(Je),Xr=zr?Je:null,di=Xr?Xr.posMatrix:se.transform.calculatePosMatrix(Je.toUnwrapped(),Oe),Li=ml(di,mr||[0,0],tr||1,Ut,je);Nt instanceof Rt?hr.draw(yt,Ot.TRIANGLES,He,$o.disabled,Sr,Ja.disabled,Li,zr,je.id,Nt.boundsBuffer,se.quadTriangleIndexBuffer,Nt.boundsSegments):hr.draw(yt,Ot.TRIANGLES,He,he[Je.overscaledZ],Sr,Ja.disabled,Li,zr,je.id,se.rasterBoundsBuffer,se.quadTriangleIndexBuffer,se.rasterBoundsSegments)}})(w,B,Q,ee);break;case\"background\":(function(se,qe,je,it){let yt=je.paint.get(\"background-color\"),Ot=je.paint.get(\"background-opacity\");if(Ot===0)return;let Nt=se.context,hr=Nt.gl,Sr=se.transform,he=Sr.tileSize,be=je.paint.get(\"background-pattern\");if(se.isPatternMissing(be))return;let Pe=!be&&yt.a===1&&Ot===1&&se.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(se.renderPass!==Pe)return;let Oe=$o.disabled,Je=se.depthModeForSublayer(0,Pe===\"opaque\"?wo.ReadWrite:wo.ReadOnly),He=se.colorModeForRenderPass(),et=se.useProgram(be?\"backgroundPattern\":\"background\"),Mt=it||Sr.coveringTiles({tileSize:he,terrain:se.style.map.terrain});be&&(Nt.activeTexture.set(hr.TEXTURE0),se.imageManager.bind(se.context));let Dt=je.getCrossfadeParameters();for(let Ut of Mt){let tr=it?Ut.posMatrix:se.transform.calculatePosMatrix(Ut.toUnwrapped()),mr=be?Hu(tr,Ot,se,be,{tileID:Ut,tileSize:he},Dt):$l(tr,Ot,yt),Rr=se.style.map.terrain&&se.style.map.terrain.getTerrainData(Ut);et.draw(Nt,hr.TRIANGLES,Je,Oe,He,Ja.disabled,mr,Rr,je.id,se.tileExtentBuffer,se.quadTriangleIndexBuffer,se.tileExtentSegments)}})(w,0,Q,ee);break;case\"custom\":(function(se,qe,je){let it=se.context,yt=je.implementation;if(se.renderPass===\"offscreen\"){let Ot=yt.prerender;Ot&&(se.setCustomLayerDefaults(),it.setColorMode(se.colorModeForRenderPass()),Ot.call(yt,it.gl,se.transform.customLayerMatrix()),it.setDirty(),se.setBaseState())}else if(se.renderPass===\"translucent\"){se.setCustomLayerDefaults(),it.setColorMode(se.colorModeForRenderPass()),it.setStencilMode($o.disabled);let Ot=yt.renderingMode===\"3d\"?new wo(se.context.gl.LEQUAL,wo.ReadWrite,se.depthRangeFor3D):se.depthModeForSublayer(0,wo.ReadOnly);it.setDepthMode(Ot),yt.render(it.gl,se.transform.customLayerMatrix(),{farZ:se.transform.farZ,nearZ:se.transform.nearZ,fov:se.transform._fov,modelViewProjectionMatrix:se.transform.modelViewProjectionMatrix,projectionMatrix:se.transform.projectionMatrix}),it.setDirty(),se.setBaseState(),it.bindFramebuffer.set(null)}})(w,0,Q)}}translatePosMatrix(w,B,Q,ee,se){if(!Q[0]&&!Q[1])return w;let qe=se?ee===\"map\"?this.transform.angle:0:ee===\"viewport\"?-this.transform.angle:0;if(qe){let yt=Math.sin(qe),Ot=Math.cos(qe);Q=[Q[0]*Ot-Q[1]*yt,Q[0]*yt+Q[1]*Ot]}let je=[se?Q[0]:nn(B,Q[0],this.transform.zoom),se?Q[1]:nn(B,Q[1],this.transform.zoom),0],it=new Float32Array(16);return a.J(it,w,je),it}saveTileTexture(w){let B=this._tileTextures[w.size[0]];B?B.push(w):this._tileTextures[w.size[0]]=[w]}getTileTexture(w){let B=this._tileTextures[w];return B&&B.length>0?B.pop():null}isPatternMissing(w){if(!w)return!1;if(!w.from||!w.to)return!0;let B=this.imageManager.getPattern(w.from.toString()),Q=this.imageManager.getPattern(w.to.toString());return!B||!Q}useProgram(w,B){this.cache=this.cache||{};let Q=w+(B?B.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[Q]||(this.cache[Q]=new zi(this.context,xn[w],B,fc[w],this._showOverdrawInspector,this.style.map.terrain)),this.cache[Q]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){let w=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(w.FUNC_ADD)}initDebugOverlayCanvas(){this.debugOverlayCanvas==null&&(this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new p(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){let{drawingBufferWidth:w,drawingBufferHeight:B}=this.context.gl;return this.width!==w||this.height!==B}}class fl{constructor(w,B){this.points=w,this.planes=B}static fromInvProjectionMatrix(w,B,Q){let ee=Math.pow(2,Q),se=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map(je=>{let it=1/(je=a.af([],je,w))[3]/B*ee;return a.b1(je,je,[it,it,1/je[3],it])}),qe=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map(je=>{let it=function(hr,Sr){var he=Sr[0],be=Sr[1],Pe=Sr[2],Oe=he*he+be*be+Pe*Pe;return Oe>0&&(Oe=1/Math.sqrt(Oe)),hr[0]=Sr[0]*Oe,hr[1]=Sr[1]*Oe,hr[2]=Sr[2]*Oe,hr}([],function(hr,Sr,he){var be=Sr[0],Pe=Sr[1],Oe=Sr[2],Je=he[0],He=he[1],et=he[2];return hr[0]=Pe*et-Oe*He,hr[1]=Oe*Je-be*et,hr[2]=be*He-Pe*Je,hr}([],L([],se[je[0]],se[je[1]]),L([],se[je[2]],se[je[1]]))),yt=-((Ot=it)[0]*(Nt=se[je[1]])[0]+Ot[1]*Nt[1]+Ot[2]*Nt[2]);var Ot,Nt;return it.concat(yt)});return new fl(se,qe)}}class Xc{constructor(w,B){this.min=w,this.max=B,this.center=function(Q,ee,se){return Q[0]=.5*ee[0],Q[1]=.5*ee[1],Q[2]=.5*ee[2],Q}([],function(Q,ee,se){return Q[0]=ee[0]+se[0],Q[1]=ee[1]+se[1],Q[2]=ee[2]+se[2],Q}([],this.min,this.max))}quadrant(w){let B=[w%2==0,w<2],Q=k(this.min),ee=k(this.max);for(let se=0;se=0&&qe++;if(qe===0)return 0;qe!==B.length&&(Q=!1)}if(Q)return 2;for(let ee=0;ee<3;ee++){let se=Number.MAX_VALUE,qe=-Number.MAX_VALUE;for(let je=0;jethis.max[ee]-this.min[ee])return 0}return 1}}class ic{constructor(w=0,B=0,Q=0,ee=0){if(isNaN(w)||w<0||isNaN(B)||B<0||isNaN(Q)||Q<0||isNaN(ee)||ee<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=w,this.bottom=B,this.left=Q,this.right=ee}interpolate(w,B,Q){return B.top!=null&&w.top!=null&&(this.top=a.y.number(w.top,B.top,Q)),B.bottom!=null&&w.bottom!=null&&(this.bottom=a.y.number(w.bottom,B.bottom,Q)),B.left!=null&&w.left!=null&&(this.left=a.y.number(w.left,B.left,Q)),B.right!=null&&w.right!=null&&(this.right=a.y.number(w.right,B.right,Q)),this}getCenter(w,B){let Q=a.ac((this.left+w-this.right)/2,0,w),ee=a.ac((this.top+B-this.bottom)/2,0,B);return new a.P(Q,ee)}equals(w){return this.top===w.top&&this.bottom===w.bottom&&this.left===w.left&&this.right===w.right}clone(){return new ic(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}let yu=85.051129;class Qs{constructor(w,B,Q,ee,se){this.tileSize=512,this._renderWorldCopies=se===void 0||!!se,this._minZoom=w||0,this._maxZoom=B||22,this._minPitch=Q==null?0:Q,this._maxPitch=ee==null?60:ee,this.setMaxBounds(),this.width=0,this.height=0,this._center=new a.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new ic,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){let w=new Qs(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return w.apply(this),w}apply(w){this.tileSize=w.tileSize,this.latRange=w.latRange,this.lngRange=w.lngRange,this.width=w.width,this.height=w.height,this._center=w._center,this._elevation=w._elevation,this.minElevationForCurrentTile=w.minElevationForCurrentTile,this.zoom=w.zoom,this.angle=w.angle,this._fov=w._fov,this._pitch=w._pitch,this._unmodified=w._unmodified,this._edgeInsets=w._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(w){this._minZoom!==w&&(this._minZoom=w,this.zoom=Math.max(this.zoom,w))}get maxZoom(){return this._maxZoom}set maxZoom(w){this._maxZoom!==w&&(this._maxZoom=w,this.zoom=Math.min(this.zoom,w))}get minPitch(){return this._minPitch}set minPitch(w){this._minPitch!==w&&(this._minPitch=w,this.pitch=Math.max(this.pitch,w))}get maxPitch(){return this._maxPitch}set maxPitch(w){this._maxPitch!==w&&(this._maxPitch=w,this.pitch=Math.min(this.pitch,w))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(w){w===void 0?w=!0:w===null&&(w=!1),this._renderWorldCopies=w}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new a.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(w){let B=-a.b3(w,-180,180)*Math.PI/180;this.angle!==B&&(this._unmodified=!1,this.angle=B,this._calcMatrices(),this.rotationMatrix=function(){var Q=new a.A(4);return a.A!=Float32Array&&(Q[1]=0,Q[2]=0),Q[0]=1,Q[3]=1,Q}(),function(Q,ee,se){var qe=ee[0],je=ee[1],it=ee[2],yt=ee[3],Ot=Math.sin(se),Nt=Math.cos(se);Q[0]=qe*Nt+it*Ot,Q[1]=je*Nt+yt*Ot,Q[2]=qe*-Ot+it*Nt,Q[3]=je*-Ot+yt*Nt}(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(w){let B=a.ac(w,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==B&&(this._unmodified=!1,this._pitch=B,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(w){w=Math.max(.01,Math.min(60,w)),this._fov!==w&&(this._unmodified=!1,this._fov=w/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(w){let B=Math.min(Math.max(w,this.minZoom),this.maxZoom);this._zoom!==B&&(this._unmodified=!1,this._zoom=B,this.tileZoom=Math.max(0,Math.floor(B)),this.scale=this.zoomScale(B),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(w){w.lat===this._center.lat&&w.lng===this._center.lng||(this._unmodified=!1,this._center=w,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(w){w!==this._elevation&&(this._elevation=w,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(w){this._edgeInsets.equals(w)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,w,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(w){return this._edgeInsets.equals(w)}interpolatePadding(w,B,Q){this._unmodified=!1,this._edgeInsets.interpolate(w,B,Q),this._constrain(),this._calcMatrices()}coveringZoomLevel(w){let B=(w.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/w.tileSize));return Math.max(0,B)}getVisibleUnwrappedCoordinates(w){let B=[new a.b4(0,w)];if(this._renderWorldCopies){let Q=this.pointCoordinate(new a.P(0,0)),ee=this.pointCoordinate(new a.P(this.width,0)),se=this.pointCoordinate(new a.P(this.width,this.height)),qe=this.pointCoordinate(new a.P(0,this.height)),je=Math.floor(Math.min(Q.x,ee.x,se.x,qe.x)),it=Math.floor(Math.max(Q.x,ee.x,se.x,qe.x)),yt=1;for(let Ot=je-yt;Ot<=it+yt;Ot++)Ot!==0&&B.push(new a.b4(Ot,w))}return B}coveringTiles(w){var B,Q;let ee=this.coveringZoomLevel(w),se=ee;if(w.minzoom!==void 0&&eew.maxzoom&&(ee=w.maxzoom);let qe=this.pointCoordinate(this.getCameraPoint()),je=a.Z.fromLngLat(this.center),it=Math.pow(2,ee),yt=[it*qe.x,it*qe.y,0],Ot=[it*je.x,it*je.y,0],Nt=fl.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,ee),hr=w.minzoom||0;!w.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(hr=ee);let Sr=w.terrain?2/Math.min(this.tileSize,w.tileSize)*this.tileSize:3,he=He=>({aabb:new Xc([He*it,0,0],[(He+1)*it,it,0]),zoom:0,x:0,y:0,wrap:He,fullyVisible:!1}),be=[],Pe=[],Oe=ee,Je=w.reparseOverscaled?se:ee;if(this._renderWorldCopies)for(let He=1;He<=3;He++)be.push(he(-He)),be.push(he(He));for(be.push(he(0));be.length>0;){let He=be.pop(),et=He.x,Mt=He.y,Dt=He.fullyVisible;if(!Dt){let zr=He.aabb.intersects(Nt);if(zr===0)continue;Dt=zr===2}let Ut=w.terrain?yt:Ot,tr=He.aabb.distanceX(Ut),mr=He.aabb.distanceY(Ut),Rr=Math.max(Math.abs(tr),Math.abs(mr));if(He.zoom===Oe||Rr>Sr+(1<=hr){let zr=Oe-He.zoom,Xr=yt[0]-.5-(et<>1),Li=He.zoom+1,Ci=He.aabb.quadrant(zr);if(w.terrain){let Qi=new a.S(Li,He.wrap,Li,Xr,di),Mn=w.terrain.getMinMaxElevation(Qi),pa=(B=Mn.minElevation)!==null&&B!==void 0?B:this.elevation,ea=(Q=Mn.maxElevation)!==null&&Q!==void 0?Q:this.elevation;Ci=new Xc([Ci.min[0],Ci.min[1],pa],[Ci.max[0],Ci.max[1],ea])}be.push({aabb:Ci,zoom:Li,x:Xr,y:di,wrap:He.wrap,fullyVisible:Dt})}}return Pe.sort((He,et)=>He.distanceSq-et.distanceSq).map(He=>He.tileID)}resize(w,B){this.width=w,this.height=B,this.pixelsToGLUnits=[2/w,-2/B],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(w){return Math.pow(2,w)}scaleZoom(w){return Math.log(w)/Math.LN2}project(w){let B=a.ac(w.lat,-85.051129,yu);return new a.P(a.O(w.lng)*this.worldSize,a.Q(B)*this.worldSize)}unproject(w){return new a.Z(w.x/this.worldSize,w.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(w){let B=this.elevation,Q=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,ee=this.pointLocation(this.centerPoint,w),se=w.getElevationForLngLatZoom(ee,this.tileZoom);if(!(this.elevation-se))return;let qe=Q+B-se,je=Math.cos(this._pitch)*this.cameraToCenterDistance/qe/a.b5(1,ee.lat),it=this.scaleZoom(je/this.tileSize);this._elevation=se,this._center=ee,this.zoom=it}setLocationAtPoint(w,B){let Q=this.pointCoordinate(B),ee=this.pointCoordinate(this.centerPoint),se=this.locationCoordinate(w),qe=new a.Z(se.x-(Q.x-ee.x),se.y-(Q.y-ee.y));this.center=this.coordinateLocation(qe),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(w,B){return B?this.coordinatePoint(this.locationCoordinate(w),B.getElevationForLngLatZoom(w,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(w))}pointLocation(w,B){return this.coordinateLocation(this.pointCoordinate(w,B))}locationCoordinate(w){return a.Z.fromLngLat(w)}coordinateLocation(w){return w&&w.toLngLat()}pointCoordinate(w,B){if(B){let hr=B.pointCoordinate(w);if(hr!=null)return hr}let Q=[w.x,w.y,0,1],ee=[w.x,w.y,1,1];a.af(Q,Q,this.pixelMatrixInverse),a.af(ee,ee,this.pixelMatrixInverse);let se=Q[3],qe=ee[3],je=Q[1]/se,it=ee[1]/qe,yt=Q[2]/se,Ot=ee[2]/qe,Nt=yt===Ot?0:(0-yt)/(Ot-yt);return new a.Z(a.y.number(Q[0]/se,ee[0]/qe,Nt)/this.worldSize,a.y.number(je,it,Nt)/this.worldSize)}coordinatePoint(w,B=0,Q=this.pixelMatrix){let ee=[w.x*this.worldSize,w.y*this.worldSize,B,1];return a.af(ee,ee,Q),new a.P(ee[0]/ee[3],ee[1]/ee[3])}getBounds(){let w=Math.max(0,this.height/2-this.getHorizon());return new ce().extend(this.pointLocation(new a.P(0,w))).extend(this.pointLocation(new a.P(this.width,w))).extend(this.pointLocation(new a.P(this.width,this.height))).extend(this.pointLocation(new a.P(0,this.height)))}getMaxBounds(){return this.latRange&&this.latRange.length===2&&this.lngRange&&this.lngRange.length===2?new ce([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(w){w?(this.lngRange=[w.getWest(),w.getEast()],this.latRange=[w.getSouth(),w.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,yu])}calculateTileMatrix(w){let B=w.canonical,Q=this.worldSize/this.zoomScale(B.z),ee=B.x+Math.pow(2,B.z)*w.wrap,se=a.an(new Float64Array(16));return a.J(se,se,[ee*Q,B.y*Q,0]),a.K(se,se,[Q/a.X,Q/a.X,1]),se}calculatePosMatrix(w,B=!1){let Q=w.key,ee=B?this._alignedPosMatrixCache:this._posMatrixCache;if(ee[Q])return ee[Q];let se=this.calculateTileMatrix(w);return a.L(se,B?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,se),ee[Q]=new Float32Array(se),ee[Q]}calculateFogMatrix(w){let B=w.key,Q=this._fogMatrixCache;if(Q[B])return Q[B];let ee=this.calculateTileMatrix(w);return a.L(ee,this.fogMatrix,ee),Q[B]=new Float32Array(ee),Q[B]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(w,B){B=a.ac(+B,this.minZoom,this.maxZoom);let Q={center:new a.N(w.lng,w.lat),zoom:B},ee=this.lngRange;if(!this._renderWorldCopies&&ee===null){let He=179.9999999999;ee=[-He,He]}let se=this.tileSize*this.zoomScale(Q.zoom),qe=0,je=se,it=0,yt=se,Ot=0,Nt=0,{x:hr,y:Sr}=this.size;if(this.latRange){let He=this.latRange;qe=a.Q(He[1])*se,je=a.Q(He[0])*se,je-qeje&&(Oe=je-He)}if(ee){let He=(it+yt)/2,et=he;this._renderWorldCopies&&(et=a.b3(he,He-se/2,He+se/2));let Mt=hr/2;et-Mtyt&&(Pe=yt-Mt)}if(Pe!==void 0||Oe!==void 0){let He=new a.P(Pe!=null?Pe:he,Oe!=null?Oe:be);Q.center=this.unproject.call({worldSize:se},He).wrap()}return Q}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;let w=this._unmodified,{center:B,zoom:Q}=this.getConstrained(this.center,this.zoom);this.center=B,this.zoom=Q,this._unmodified=w,this._constraining=!1}_calcMatrices(){if(!this.height)return;let w=this.centerOffset,B=this.point.x,Q=this.point.y;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height,this._pixelPerMeter=a.b5(1,this.center.lat)*this.worldSize;let ee=a.an(new Float64Array(16));a.K(ee,ee,[this.width/2,-this.height/2,1]),a.J(ee,ee,[1,-1,0]),this.labelPlaneMatrix=ee,ee=a.an(new Float64Array(16)),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[-1,-1,0]),a.K(ee,ee,[2/this.width,2/this.height,1]),this.glCoordMatrix=ee;let se=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),qe=Math.min(this.elevation,this.minElevationForCurrentTile),je=se-qe*this._pixelPerMeter/Math.cos(this._pitch),it=qe<0?je:se,yt=Math.PI/2+this._pitch,Ot=this._fov*(.5+w.y/this.height),Nt=Math.sin(Ot)*it/Math.sin(a.ac(Math.PI-yt-Ot,.01,Math.PI-.01)),hr=this.getHorizon(),Sr=2*Math.atan(hr/this.cameraToCenterDistance)*(.5+w.y/(2*hr)),he=Math.sin(Sr)*it/Math.sin(a.ac(Math.PI-yt-Sr,.01,Math.PI-.01)),be=Math.min(Nt,he);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*be+it),this.nearZ=this.height/50,ee=new Float64Array(16),a.b6(ee,this._fov,this.width/this.height,this.nearZ,this.farZ),ee[8]=2*-w.x/this.width,ee[9]=2*w.y/this.height,this.projectionMatrix=a.ae(ee),a.K(ee,ee,[1,-1,1]),a.J(ee,ee,[0,0,-this.cameraToCenterDistance]),a.b7(ee,ee,this._pitch),a.ad(ee,ee,this.angle),a.J(ee,ee,[-B,-Q,0]),this.mercatorMatrix=a.K([],ee,[this.worldSize,this.worldSize,this.worldSize]),a.K(ee,ee,[1,1,this._pixelPerMeter]),this.pixelMatrix=a.L(new Float64Array(16),this.labelPlaneMatrix,ee),a.J(ee,ee,[0,0,-this.elevation]),this.modelViewProjectionMatrix=ee,this.invModelViewProjectionMatrix=a.as([],ee),this.fogMatrix=new Float64Array(16),a.b6(this.fogMatrix,this._fov,this.width/this.height,se,this.farZ),this.fogMatrix[8]=2*-w.x/this.width,this.fogMatrix[9]=2*w.y/this.height,a.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),a.b7(this.fogMatrix,this.fogMatrix,this._pitch),a.ad(this.fogMatrix,this.fogMatrix,this.angle),a.J(this.fogMatrix,this.fogMatrix,[-B,-Q,0]),a.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),a.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=a.L(new Float64Array(16),this.labelPlaneMatrix,ee);let Pe=this.width%2/2,Oe=this.height%2/2,Je=Math.cos(this.angle),He=Math.sin(this.angle),et=B-Math.round(B)+Je*Pe+He*Oe,Mt=Q-Math.round(Q)+Je*Oe+He*Pe,Dt=new Float64Array(ee);if(a.J(Dt,Dt,[et>.5?et-1:et,Mt>.5?Mt-1:Mt,0]),this.alignedModelViewProjectionMatrix=Dt,ee=a.as(new Float64Array(16),this.pixelMatrix),!ee)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=ee,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;let w=this.pointCoordinate(new a.P(0,0)),B=[w.x*this.worldSize,w.y*this.worldSize,0,1];return a.af(B,B,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){let w=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new a.P(0,w))}getCameraQueryGeometry(w){let B=this.getCameraPoint();if(w.length===1)return[w[0],B];{let Q=B.x,ee=B.y,se=B.x,qe=B.y;for(let je of w)Q=Math.min(Q,je.x),ee=Math.min(ee,je.y),se=Math.max(se,je.x),qe=Math.max(qe,je.y);return[new a.P(Q,ee),new a.P(se,ee),new a.P(se,qe),new a.P(Q,qe),new a.P(Q,ee)]}}lngLatToCameraDepth(w,B){let Q=this.locationCoordinate(w),ee=[Q.x*this.worldSize,Q.y*this.worldSize,B,1];return a.af(ee,ee,this.modelViewProjectionMatrix),ee[2]/ee[3]}}function Qh(le,w){let B,Q=!1,ee=null,se=null,qe=()=>{ee=null,Q&&(le.apply(se,B),ee=setTimeout(qe,w),Q=!1)};return(...je)=>(Q=!0,se=this,B=je,ee||qe(),ee)}class gd{constructor(w){this._getCurrentHash=()=>{let B=window.location.hash.replace(\"#\",\"\");if(this._hashName){let Q;return B.split(\"&\").map(ee=>ee.split(\"=\")).forEach(ee=>{ee[0]===this._hashName&&(Q=ee)}),(Q&&Q[1]||\"\").split(\"/\")}return B.split(\"/\")},this._onHashChange=()=>{let B=this._getCurrentHash();if(B.length>=3&&!B.some(Q=>isNaN(Q))){let Q=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(B[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+B[2],+B[1]],zoom:+B[0],bearing:Q,pitch:+(B[4]||0)}),!0}return!1},this._updateHashUnthrottled=()=>{let B=window.location.href.replace(/(#.*)?$/,this.getHashString());window.history.replaceState(window.history.state,null,B)},this._removeHash=()=>{let B=this._getCurrentHash();if(B.length===0)return;let Q=B.join(\"/\"),ee=Q;ee.split(\"&\").length>0&&(ee=ee.split(\"&\")[0]),this._hashName&&(ee=`${this._hashName}=${Q}`);let se=window.location.hash.replace(ee,\"\");se.startsWith(\"#&\")?se=se.slice(0,1)+se.slice(2):se===\"#\"&&(se=\"\");let qe=window.location.href.replace(/(#.+)?$/,se);qe=qe.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,qe)},this._updateHash=Qh(this._updateHashUnthrottled,300),this._hashName=w&&encodeURIComponent(w)}addTo(w){return this._map=w,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(w){let B=this._map.getCenter(),Q=Math.round(100*this._map.getZoom())/100,ee=Math.ceil((Q*Math.LN2+Math.log(512/360/.5))/Math.LN10),se=Math.pow(10,ee),qe=Math.round(B.lng*se)/se,je=Math.round(B.lat*se)/se,it=this._map.getBearing(),yt=this._map.getPitch(),Ot=\"\";if(Ot+=w?`/${qe}/${je}/${Q}`:`${Q}/${je}/${qe}`,(it||yt)&&(Ot+=\"/\"+Math.round(10*it)/10),yt&&(Ot+=`/${Math.round(yt)}`),this._hashName){let Nt=this._hashName,hr=!1,Sr=window.location.hash.slice(1).split(\"&\").map(he=>{let be=he.split(\"=\")[0];return be===Nt?(hr=!0,`${be}=${Ot}`):he}).filter(he=>he);return hr||Sr.push(`${Nt}=${Ot}`),`#${Sr.join(\"&\")}`}return`#${Ot}`}}let Gu={linearity:.3,easing:a.b8(0,0,.3,1)},Pc=a.e({deceleration:2500,maxSpeed:1400},Gu),vc=a.e({deceleration:20,maxSpeed:1400},Gu),sv=a.e({deceleration:1e3,maxSpeed:360},Gu),Lf=a.e({deceleration:1e3,maxSpeed:90},Gu);class Uf{constructor(w){this._map=w,this.clear()}clear(){this._inertiaBuffer=[]}record(w){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:u.now(),settings:w})}_drainInertiaBuffer(){let w=this._inertiaBuffer,B=u.now();for(;w.length>0&&B-w[0].time>160;)w.shift()}_onMoveEnd(w){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;let B={zoom:0,bearing:0,pitch:0,pan:new a.P(0,0),pinchAround:void 0,around:void 0};for(let{settings:se}of this._inertiaBuffer)B.zoom+=se.zoomDelta||0,B.bearing+=se.bearingDelta||0,B.pitch+=se.pitchDelta||0,se.panDelta&&B.pan._add(se.panDelta),se.around&&(B.around=se.around),se.pinchAround&&(B.pinchAround=se.pinchAround);let Q=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,ee={};if(B.pan.mag()){let se=oh(B.pan.mag(),Q,a.e({},Pc,w||{}));ee.offset=B.pan.mult(se.amount/B.pan.mag()),ee.center=this._map.transform.center,Iu(ee,se)}if(B.zoom){let se=oh(B.zoom,Q,vc);ee.zoom=this._map.transform.zoom+se.amount,Iu(ee,se)}if(B.bearing){let se=oh(B.bearing,Q,sv);ee.bearing=this._map.transform.bearing+a.ac(se.amount,-179,179),Iu(ee,se)}if(B.pitch){let se=oh(B.pitch,Q,Lf);ee.pitch=this._map.transform.pitch+se.amount,Iu(ee,se)}if(ee.zoom||ee.bearing){let se=B.pinchAround===void 0?B.around:B.pinchAround;ee.around=se?this._map.unproject(se):this._map.getCenter()}return this.clear(),a.e(ee,{noMoveStart:!0})}}function Iu(le,w){(!le.duration||le.durationB.unproject(it)),je=se.reduce((it,yt,Ot,Nt)=>it.add(yt.div(Nt.length)),new a.P(0,0));super(w,{points:se,point:je,lngLats:qe,lngLat:B.unproject(je),originalEvent:Q}),this._defaultPrevented=!1}}class md extends a.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(w,B,Q){super(w,{originalEvent:Q}),this._defaultPrevented=!1}}class sh{constructor(w,B){this._map=w,this._clickTolerance=B.clickTolerance}reset(){delete this._mousedownPos}wheel(w){return this._firePreventable(new md(w.type,this._map,w))}mousedown(w,B){return this._mousedownPos=B,this._firePreventable(new tu(w.type,this._map,w))}mouseup(w){this._map.fire(new tu(w.type,this._map,w))}click(w,B){this._mousedownPos&&this._mousedownPos.dist(B)>=this._clickTolerance||this._map.fire(new tu(w.type,this._map,w))}dblclick(w){return this._firePreventable(new tu(w.type,this._map,w))}mouseover(w){this._map.fire(new tu(w.type,this._map,w))}mouseout(w){this._map.fire(new tu(w.type,this._map,w))}touchstart(w){return this._firePreventable(new vf(w.type,this._map,w))}touchmove(w){this._map.fire(new vf(w.type,this._map,w))}touchend(w){this._map.fire(new vf(w.type,this._map,w))}touchcancel(w){this._map.fire(new vf(w.type,this._map,w))}_firePreventable(w){if(this._map.fire(w),w.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Fs{constructor(w){this._map=w}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(w){this._map.fire(new tu(w.type,this._map,w))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new tu(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(w){this._delayContextMenu?this._contextMenuEvent=w:this._ignoreContextMenu||this._map.fire(new tu(w.type,this._map,w)),this._map.listens(\"contextmenu\")&&w.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class _u{constructor(w){this._map=w}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(w){return this.transform.pointLocation(a.P.convert(w),this._map.terrain)}}class xu{constructor(w,B){this._map=w,this._tr=new _u(w),this._el=w.getCanvasContainer(),this._container=w.getContainer(),this._clickTolerance=B.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(w,B){this.isEnabled()&&w.shiftKey&&w.button===0&&(c.disableDrag(),this._startPos=this._lastPos=B,this._active=!0)}mousemoveWindow(w,B){if(!this._active)return;let Q=B;if(this._lastPos.equals(Q)||!this._box&&Q.dist(this._startPos)se.fitScreenCoordinates(Q,ee,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",w)}keydown(w){this._active&&w.keyCode===27&&(this.reset(),this._fireEvent(\"boxzoomcancel\",w))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(c.remove(this._box),this._box=null),c.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(w,B){return this._map.fire(new a.k(w,{originalEvent:B}))}}function Lh(le,w){if(le.length!==w.length)throw new Error(`The number of touches and points are not equal - touches ${le.length}, points ${w.length}`);let B={};for(let Q=0;Qthis.numTouches)&&(this.aborted=!0),this.aborted||(this.startTime===void 0&&(this.startTime=w.timeStamp),Q.length===this.numTouches&&(this.centroid=function(ee){let se=new a.P(0,0);for(let qe of ee)se._add(qe);return se.div(ee.length)}(B),this.touches=Lh(Q,B)))}touchmove(w,B,Q){if(this.aborted||!this.centroid)return;let ee=Lh(Q,B);for(let se in this.touches){let qe=ee[se];(!qe||qe.dist(this.touches[se])>30)&&(this.aborted=!0)}}touchend(w,B,Q){if((!this.centroid||w.timeStamp-this.startTime>500)&&(this.aborted=!0),Q.length===0){let ee=!this.aborted&&this.centroid;if(this.reset(),ee)return ee}}}class Pf{constructor(w){this.singleTap=new Is(w),this.numTaps=w.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(w,B,Q){this.singleTap.touchstart(w,B,Q)}touchmove(w,B,Q){this.singleTap.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this.singleTap.touchend(w,B,Q);if(ee){let se=w.timeStamp-this.lastTime<500,qe=!this.lastTap||this.lastTap.dist(ee)<30;if(se&&qe||this.reset(),this.count++,this.lastTime=w.timeStamp,this.lastTap=ee,this.count===this.numTaps)return this.reset(),ee}}}class Ic{constructor(w){this._tr=new _u(w),this._zoomIn=new Pf({numTouches:1,numTaps:2}),this._zoomOut=new Pf({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(w,B,Q){this._zoomIn.touchstart(w,B,Q),this._zoomOut.touchstart(w,B,Q)}touchmove(w,B,Q){this._zoomIn.touchmove(w,B,Q),this._zoomOut.touchmove(w,B,Q)}touchend(w,B,Q){let ee=this._zoomIn.touchend(w,B,Q),se=this._zoomOut.touchend(w,B,Q),qe=this._tr;return ee?(this._active=!0,w.preventDefault(),setTimeout(()=>this.reset(),0),{cameraAnimation:je=>je.easeTo({duration:300,zoom:qe.zoom+1,around:qe.unproject(ee)},{originalEvent:w})}):se?(this._active=!0,w.preventDefault(),setTimeout(()=>this.reset(),0),{cameraAnimation:je=>je.easeTo({duration:300,zoom:qe.zoom-1,around:qe.unproject(se)},{originalEvent:w})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class ju{constructor(w){this._enabled=!!w.enable,this._moveStateManager=w.moveStateManager,this._clickTolerance=w.clickTolerance||1,this._moveFunction=w.move,this._activateOnStart=!!w.activateOnStart,w.assignEvents(this),this.reset()}reset(w){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(w)}_move(...w){let B=this._moveFunction(...w);if(B.bearingDelta||B.pitchDelta||B.around||B.panDelta)return this._active=!0,B}dragStart(w,B){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(w)&&(this._moveStateManager.startMove(w),this._lastPoint=B.length?B[0]:B,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(w,B){if(!this.isEnabled())return;let Q=this._lastPoint;if(!Q)return;if(w.preventDefault(),!this._moveStateManager.isValidMoveEvent(w))return void this.reset(w);let ee=B.length?B[0]:B;return!this._moved&&ee.dist(Q){le.mousedown=le.dragStart,le.mousemoveWindow=le.dragMove,le.mouseup=le.dragEnd,le.contextmenu=w=>{w.preventDefault()}},Rl=({enable:le,clickTolerance:w,bearingDegreesPerPixelMoved:B=.8})=>{let Q=new pc({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new ju({clickTolerance:w,move:(ee,se)=>({bearingDelta:(se.x-ee.x)*B}),moveStateManager:Q,enable:le,assignEvents:Ph})},Ih=({enable:le,clickTolerance:w,pitchDegreesPerPixelMoved:B=-.5})=>{let Q=new pc({checkCorrectEvent:ee=>c.mouseButton(ee)===0&&ee.ctrlKey||c.mouseButton(ee)===2});return new ju({clickTolerance:w,move:(ee,se)=>({pitchDelta:(se.y-ee.y)*B}),moveStateManager:Q,enable:le,assignEvents:Ph})};class Wu{constructor(w,B){this._clickTolerance=w.clickTolerance||1,this._map=B,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new a.P(0,0)}_shouldBePrevented(w){return w<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(w,B,Q){return this._calculateTransform(w,B,Q)}touchmove(w,B,Q){if(this._active){if(!this._shouldBePrevented(Q.length))return w.preventDefault(),this._calculateTransform(w,B,Q);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",w)}}touchend(w,B,Q){this._calculateTransform(w,B,Q),this._active&&this._shouldBePrevented(Q.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(w,B,Q){Q.length>0&&(this._active=!0);let ee=Lh(Q,B),se=new a.P(0,0),qe=new a.P(0,0),je=0;for(let yt in ee){let Ot=ee[yt],Nt=this._touches[yt];Nt&&(se._add(Ot),qe._add(Ot.sub(Nt)),je++,ee[yt]=Ot)}if(this._touches=ee,this._shouldBePrevented(je)||!qe.mag())return;let it=qe.div(je);return this._sum._add(it),this._sum.mag()Math.abs(le.x)}class gf extends Rc{constructor(w){super(),this._currentTouchCount=0,this._map=w}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(w,B,Q){super.touchstart(w,B,Q),this._currentTouchCount=Q.length}_start(w){this._lastPoints=w,nc(w[0].sub(w[1]))&&(this._valid=!1)}_move(w,B,Q){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;let ee=w[0].sub(this._lastPoints[0]),se=w[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(ee,se,Q.timeStamp),this._valid?(this._lastPoints=w,this._active=!0,{pitchDelta:(ee.y+se.y)/2*-.5}):void 0}gestureBeginsVertically(w,B,Q){if(this._valid!==void 0)return this._valid;let ee=w.mag()>=2,se=B.mag()>=2;if(!ee&&!se)return;if(!ee||!se)return this._firstMove===void 0&&(this._firstMove=Q),Q-this._firstMove<100&&void 0;let qe=w.y>0==B.y>0;return nc(w)&&nc(B)&&qe}}let gt={panStep:100,bearingStep:15,pitchStep:10};class Bt{constructor(w){this._tr=new _u(w);let B=gt;this._panStep=B.panStep,this._bearingStep=B.bearingStep,this._pitchStep=B.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(w){if(w.altKey||w.ctrlKey||w.metaKey)return;let B=0,Q=0,ee=0,se=0,qe=0;switch(w.keyCode){case 61:case 107:case 171:case 187:B=1;break;case 189:case 109:case 173:B=-1;break;case 37:w.shiftKey?Q=-1:(w.preventDefault(),se=-1);break;case 39:w.shiftKey?Q=1:(w.preventDefault(),se=1);break;case 38:w.shiftKey?ee=1:(w.preventDefault(),qe=-1);break;case 40:w.shiftKey?ee=-1:(w.preventDefault(),qe=1);break;default:return}return this._rotationDisabled&&(Q=0,ee=0),{cameraAnimation:je=>{let it=this._tr;je.easeTo({duration:300,easeId:\"keyboardHandler\",easing:wr,zoom:B?Math.round(it.zoom)+B*(w.shiftKey?2:1):it.zoom,bearing:it.bearing+Q*this._bearingStep,pitch:it.pitch+ee*this._pitchStep,offset:[-se*this._panStep,-qe*this._panStep],center:it.center},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function wr(le){return le*(2-le)}let vr=4.000244140625;class Ur{constructor(w,B){this._onTimeout=Q=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(Q)},this._map=w,this._tr=new _u(w),this._triggerRenderFrame=B,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(w){this._defaultZoomRate=w}setWheelZoomRate(w){this._wheelZoomRate=w}isEnabled(){return!!this._enabled}isActive(){return!!this._active||this._finishTimeout!==void 0}isZooming(){return!!this._zooming}enable(w){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!w&&w.around===\"center\")}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(w){return!!this._map.cooperativeGestures.isEnabled()&&!(w.ctrlKey||this._map.cooperativeGestures.isBypassed(w))}wheel(w){if(!this.isEnabled())return;if(this._shouldBePrevented(w))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",w);let B=w.deltaMode===WheelEvent.DOM_DELTA_LINE?40*w.deltaY:w.deltaY,Q=u.now(),ee=Q-(this._lastWheelEventTime||0);this._lastWheelEventTime=Q,B!==0&&B%vr==0?this._type=\"wheel\":B!==0&&Math.abs(B)<4?this._type=\"trackpad\":ee>400?(this._type=null,this._lastValue=B,this._timeout=setTimeout(this._onTimeout,40,w)):this._type||(this._type=Math.abs(ee*B)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,B+=this._lastValue)),w.shiftKey&&B&&(B/=4),this._type&&(this._lastWheelEvent=w,this._delta-=B,this._active||this._start(w)),w.preventDefault()}_start(w){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);let B=c.mousePos(this._map.getCanvas(),w),Q=this._tr;this._around=B.y>Q.transform.height/2-Q.transform.getHorizon()?a.N.convert(this._aroundCenter?Q.center:Q.unproject(B)):a.N.convert(Q.center),this._aroundPoint=Q.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId||(this._frameId=null,!this.isActive()))return;let w=this._tr.transform;if(this._delta!==0){let it=this._type===\"wheel\"&&Math.abs(this._delta)>vr?this._wheelZoomRate:this._defaultZoomRate,yt=2/(1+Math.exp(-Math.abs(this._delta*it)));this._delta<0&&yt!==0&&(yt=1/yt);let Ot=typeof this._targetZoom==\"number\"?w.zoomScale(this._targetZoom):w.scale;this._targetZoom=Math.min(w.maxZoom,Math.max(w.minZoom,w.scaleZoom(Ot*yt))),this._type===\"wheel\"&&(this._startZoom=w.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}let B=typeof this._targetZoom==\"number\"?this._targetZoom:w.zoom,Q=this._startZoom,ee=this._easing,se,qe=!1,je=u.now()-this._lastWheelEventTime;if(this._type===\"wheel\"&&Q&&ee&&je){let it=Math.min(je/200,1),yt=ee(it);se=a.y.number(Q,B,yt),it<1?this._frameId||(this._frameId=!0):qe=!0}else se=B,qe=!0;return this._active=!0,qe&&(this._active=!1,this._finishTimeout=setTimeout(()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout},200)),{noInertia:!0,needsRenderFrame:!qe,zoomDelta:se-w.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(w){let B=a.b9;if(this._prevEase){let Q=this._prevEase,ee=(u.now()-Q.start)/Q.duration,se=Q.easing(ee+.01)-Q.easing(ee),qe=.27/Math.sqrt(se*se+1e-4)*.01,je=Math.sqrt(.0729-qe*qe);B=a.b8(qe,je,.25,1)}return this._prevEase={start:u.now(),duration:w,easing:B},B}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class fi{constructor(w,B){this._clickZoom=w,this._tapZoom=B}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class xi{constructor(w){this._tr=new _u(w),this.reset()}reset(){this._active=!1}dblclick(w,B){return w.preventDefault(),{cameraAnimation:Q=>{Q.easeTo({duration:300,zoom:this._tr.zoom+(w.shiftKey?-1:1),around:this._tr.unproject(B)},{originalEvent:w})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Fi{constructor(){this._tap=new Pf({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(w,B,Q){if(!this._swipePoint)if(this._tapTime){let ee=B[0],se=w.timeStamp-this._tapTime<500,qe=this._tapPoint.dist(ee)<30;se&&qe?Q.length>0&&(this._swipePoint=ee,this._swipeTouch=Q[0].identifier):this.reset()}else this._tap.touchstart(w,B,Q)}touchmove(w,B,Q){if(this._tapTime){if(this._swipePoint){if(Q[0].identifier!==this._swipeTouch)return;let ee=B[0],se=ee.y-this._swipePoint.y;return this._swipePoint=ee,w.preventDefault(),this._active=!0,{zoomDelta:se/128}}}else this._tap.touchmove(w,B,Q)}touchend(w,B,Q){if(this._tapTime)this._swipePoint&&Q.length===0&&this.reset();else{let ee=this._tap.touchend(w,B,Q);ee&&(this._tapTime=w.timeStamp,this._tapPoint=ee)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class Xi{constructor(w,B,Q){this._el=w,this._mousePan=B,this._touchPan=Q}enable(w){this._inertiaOptions=w||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class hn{constructor(w,B,Q){this._pitchWithRotate=w.pitchWithRotate,this._mouseRotate=B,this._mousePitch=Q}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class Ti{constructor(w,B,Q,ee){this._el=w,this._touchZoom=B,this._touchRotate=Q,this._tapDragZoom=ee,this._rotationDisabled=!1,this._enabled=!0}enable(w){this._touchZoom.enable(w),this._rotationDisabled||this._touchRotate.enable(w),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class qi{constructor(w,B){this._bypassKey=navigator.userAgent.indexOf(\"Mac\")!==-1?\"metaKey\":\"ctrlKey\",this._map=w,this._options=B,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;let w=this._map.getCanvasContainer();w.classList.add(\"maplibregl-cooperative-gestures\"),this._container=c.create(\"div\",\"maplibregl-cooperative-gesture-screen\",w);let B=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");this._bypassKey===\"metaKey\"&&(B=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));let Q=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),ee=document.createElement(\"div\");ee.className=\"maplibregl-desktop-message\",ee.textContent=B,this._container.appendChild(ee);let se=document.createElement(\"div\");se.className=\"maplibregl-mobile-message\",se.textContent=Q,this._container.appendChild(se),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(c.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(w){return w[this._bypassKey]}notifyGestureBlocked(w,B){this._enabled&&(this._map.fire(new a.k(\"cooperativegestureprevented\",{gestureType:w,originalEvent:B})),this._container.classList.add(\"maplibregl-show\"),setTimeout(()=>{this._container.classList.remove(\"maplibregl-show\")},100))}}let Ii=le=>le.zoom||le.drag||le.pitch||le.rotate;class mi extends a.k{}function Pn(le){return le.panDelta&&le.panDelta.mag()||le.zoomDelta||le.bearingDelta||le.pitchDelta}class Ma{constructor(w,B){this.handleWindowEvent=ee=>{this.handleEvent(ee,`${ee.type}Window`)},this.handleEvent=(ee,se)=>{if(ee.type===\"blur\")return void this.stop(!0);this._updatingCamera=!0;let qe=ee.type===\"renderFrame\"?void 0:ee,je={needsRenderFrame:!1},it={},yt={},Ot=ee.touches,Nt=Ot?this._getMapTouches(Ot):void 0,hr=Nt?c.touchPos(this._map.getCanvas(),Nt):c.mousePos(this._map.getCanvas(),ee);for(let{handlerName:be,handler:Pe,allowed:Oe}of this._handlers){if(!Pe.isEnabled())continue;let Je;this._blockedByActive(yt,Oe,be)?Pe.reset():Pe[se||ee.type]&&(Je=Pe[se||ee.type](ee,hr,Nt),this.mergeHandlerResult(je,it,Je,be,qe),Je&&Je.needsRenderFrame&&this._triggerRenderFrame()),(Je||Pe.isActive())&&(yt[be]=Pe)}let Sr={};for(let be in this._previousActiveHandlers)yt[be]||(Sr[be]=qe);this._previousActiveHandlers=yt,(Object.keys(Sr).length||Pn(je))&&(this._changes.push([je,it,Sr]),this._triggerRenderFrame()),(Object.keys(yt).length||Pn(je))&&this._map._stop(!0),this._updatingCamera=!1;let{cameraAnimation:he}=je;he&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],he(this._map))},this._map=w,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Uf(w),this._bearingSnap=B.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(B);let Q=this._el;this._listeners=[[Q,\"touchstart\",{passive:!0}],[Q,\"touchmove\",{passive:!1}],[Q,\"touchend\",void 0],[Q,\"touchcancel\",void 0],[Q,\"mousedown\",void 0],[Q,\"mousemove\",void 0],[Q,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[Q,\"mouseover\",void 0],[Q,\"mouseout\",void 0],[Q,\"dblclick\",void 0],[Q,\"click\",void 0],[Q,\"keydown\",{capture:!1}],[Q,\"keyup\",void 0],[Q,\"wheel\",{passive:!1}],[Q,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(let[ee,se,qe]of this._listeners)c.addEventListener(ee,se,ee===document?this.handleWindowEvent:this.handleEvent,qe)}destroy(){for(let[w,B,Q]of this._listeners)c.removeEventListener(w,B,w===document?this.handleWindowEvent:this.handleEvent,Q)}_addDefaultHandlers(w){let B=this._map,Q=B.getCanvasContainer();this._add(\"mapEvent\",new sh(B,w));let ee=B.boxZoom=new xu(B,w);this._add(\"boxZoom\",ee),w.interactive&&w.boxZoom&&ee.enable();let se=B.cooperativeGestures=new qi(B,w.cooperativeGestures);this._add(\"cooperativeGestures\",se),w.cooperativeGestures&&se.enable();let qe=new Ic(B),je=new xi(B);B.doubleClickZoom=new fi(je,qe),this._add(\"tapZoom\",qe),this._add(\"clickZoom\",je),w.interactive&&w.doubleClickZoom&&B.doubleClickZoom.enable();let it=new Fi;this._add(\"tapDragZoom\",it);let yt=B.touchPitch=new gf(B);this._add(\"touchPitch\",yt),w.interactive&&w.touchPitch&&B.touchPitch.enable(w.touchPitch);let Ot=Rl(w),Nt=Ih(w);B.dragRotate=new hn(w,Ot,Nt),this._add(\"mouseRotate\",Ot,[\"mousePitch\"]),this._add(\"mousePitch\",Nt,[\"mouseRotate\"]),w.interactive&&w.dragRotate&&B.dragRotate.enable();let hr=(({enable:Je,clickTolerance:He})=>{let et=new pc({checkCorrectEvent:Mt=>c.mouseButton(Mt)===0&&!Mt.ctrlKey});return new ju({clickTolerance:He,move:(Mt,Dt)=>({around:Dt,panDelta:Dt.sub(Mt)}),activateOnStart:!0,moveStateManager:et,enable:Je,assignEvents:Ph})})(w),Sr=new Wu(w,B);B.dragPan=new Xi(Q,hr,Sr),this._add(\"mousePan\",hr),this._add(\"touchPan\",Sr,[\"touchZoom\",\"touchRotate\"]),w.interactive&&w.dragPan&&B.dragPan.enable(w.dragPan);let he=new Yc,be=new ru;B.touchZoomRotate=new Ti(Q,be,he,it),this._add(\"touchRotate\",he,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",be,[\"touchPan\",\"touchRotate\"]),w.interactive&&w.touchZoomRotate&&B.touchZoomRotate.enable(w.touchZoomRotate);let Pe=B.scrollZoom=new Ur(B,()=>this._triggerRenderFrame());this._add(\"scrollZoom\",Pe,[\"mousePan\"]),w.interactive&&w.scrollZoom&&B.scrollZoom.enable(w.scrollZoom);let Oe=B.keyboard=new Bt(B);this._add(\"keyboard\",Oe),w.interactive&&w.keyboard&&B.keyboard.enable(),this._add(\"blockableMapEvent\",new Fs(B))}_add(w,B,Q){this._handlers.push({handlerName:w,handler:B,allowed:Q}),this._handlersById[w]=B}stop(w){if(!this._updatingCamera){for(let{handler:B}of this._handlers)B.reset();this._inertia.clear(),this._fireEvents({},{},w),this._changes=[]}}isActive(){for(let{handler:w}of this._handlers)if(w.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return!!Ii(this._eventsInProgress)||this.isZooming()}_blockedByActive(w,B,Q){for(let ee in w)if(ee!==Q&&(!B||B.indexOf(ee)<0))return!0;return!1}_getMapTouches(w){let B=[];for(let Q of w)this._el.contains(Q.target)&&B.push(Q);return B}mergeHandlerResult(w,B,Q,ee,se){if(!Q)return;a.e(w,Q);let qe={handlerName:ee,originalEvent:Q.originalEvent||se};Q.zoomDelta!==void 0&&(B.zoom=qe),Q.panDelta!==void 0&&(B.drag=qe),Q.pitchDelta!==void 0&&(B.pitch=qe),Q.bearingDelta!==void 0&&(B.rotate=qe)}_applyChanges(){let w={},B={},Q={};for(let[ee,se,qe]of this._changes)ee.panDelta&&(w.panDelta=(w.panDelta||new a.P(0,0))._add(ee.panDelta)),ee.zoomDelta&&(w.zoomDelta=(w.zoomDelta||0)+ee.zoomDelta),ee.bearingDelta&&(w.bearingDelta=(w.bearingDelta||0)+ee.bearingDelta),ee.pitchDelta&&(w.pitchDelta=(w.pitchDelta||0)+ee.pitchDelta),ee.around!==void 0&&(w.around=ee.around),ee.pinchAround!==void 0&&(w.pinchAround=ee.pinchAround),ee.noInertia&&(w.noInertia=ee.noInertia),a.e(B,se),a.e(Q,qe);this._updateMapTransform(w,B,Q),this._changes=[]}_updateMapTransform(w,B,Q){let ee=this._map,se=ee._getTransformForUpdate(),qe=ee.terrain;if(!(Pn(w)||qe&&this._terrainMovement))return this._fireEvents(B,Q,!0);let{panDelta:je,zoomDelta:it,bearingDelta:yt,pitchDelta:Ot,around:Nt,pinchAround:hr}=w;hr!==void 0&&(Nt=hr),ee._stop(!0),Nt=Nt||ee.transform.centerPoint;let Sr=se.pointLocation(je?Nt.sub(je):Nt);yt&&(se.bearing+=yt),Ot&&(se.pitch+=Ot),it&&(se.zoom+=it),qe?this._terrainMovement||!B.drag&&!B.zoom?B.drag&&this._terrainMovement?se.center=se.pointLocation(se.centerPoint.sub(je)):se.setLocationAtPoint(Sr,Nt):(this._terrainMovement=!0,this._map._elevationFreeze=!0,se.setLocationAtPoint(Sr,Nt)):se.setLocationAtPoint(Sr,Nt),ee._applyUpdatedTransform(se),this._map._update(),w.noInertia||this._inertia.record(w),this._fireEvents(B,Q,!0)}_fireEvents(w,B,Q){let ee=Ii(this._eventsInProgress),se=Ii(w),qe={};for(let Nt in w){let{originalEvent:hr}=w[Nt];this._eventsInProgress[Nt]||(qe[`${Nt}start`]=hr),this._eventsInProgress[Nt]=w[Nt]}!ee&&se&&this._fireEvent(\"movestart\",se.originalEvent);for(let Nt in qe)this._fireEvent(Nt,qe[Nt]);se&&this._fireEvent(\"move\",se.originalEvent);for(let Nt in w){let{originalEvent:hr}=w[Nt];this._fireEvent(Nt,hr)}let je={},it;for(let Nt in this._eventsInProgress){let{handlerName:hr,originalEvent:Sr}=this._eventsInProgress[Nt];this._handlersById[hr].isActive()||(delete this._eventsInProgress[Nt],it=B[hr]||Sr,je[`${Nt}end`]=it)}for(let Nt in je)this._fireEvent(Nt,je[Nt]);let yt=Ii(this._eventsInProgress),Ot=(ee||se)&&!yt;if(Ot&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;let Nt=this._map._getTransformForUpdate();Nt.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform(Nt)}if(Q&&Ot){this._updatingCamera=!0;let Nt=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),hr=Sr=>Sr!==0&&-this._bearingSnap{delete this._frameId,this.handleEvent(new mi(\"renderFrame\",{timeStamp:w})),this._applyChanges()})}_triggerRenderFrame(){this._frameId===void 0&&(this._frameId=this._requestFrame())}}class Ta extends a.E{constructor(w,B){super(),this._renderFrameCallback=()=>{let Q=Math.min((u.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(Q)),Q<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=w,this._bearingSnap=B.bearingSnap,this.on(\"moveend\",()=>{delete this._requestedCameraState})}getCenter(){return new a.N(this.transform.center.lng,this.transform.center.lat)}setCenter(w,B){return this.jumpTo({center:w},B)}panBy(w,B,Q){return w=a.P.convert(w).mult(-1),this.panTo(this.transform.center,a.e({offset:w},B),Q)}panTo(w,B,Q){return this.easeTo(a.e({center:w},B),Q)}getZoom(){return this.transform.zoom}setZoom(w,B){return this.jumpTo({zoom:w},B),this}zoomTo(w,B,Q){return this.easeTo(a.e({zoom:w},B),Q)}zoomIn(w,B){return this.zoomTo(this.getZoom()+1,w,B),this}zoomOut(w,B){return this.zoomTo(this.getZoom()-1,w,B),this}getBearing(){return this.transform.bearing}setBearing(w,B){return this.jumpTo({bearing:w},B),this}getPadding(){return this.transform.padding}setPadding(w,B){return this.jumpTo({padding:w},B),this}rotateTo(w,B,Q){return this.easeTo(a.e({bearing:w},B),Q)}resetNorth(w,B){return this.rotateTo(0,a.e({duration:1e3},w),B),this}resetNorthPitch(w,B){return this.easeTo(a.e({bearing:0,pitch:0,duration:1e3},w),B),this}snapToNorth(w,B){return Math.abs(this.getBearing()){if(this._zooming&&(ee.zoom=a.y.number(se,Pe,Ut)),this._rotating&&(ee.bearing=a.y.number(qe,yt,Ut)),this._pitching&&(ee.pitch=a.y.number(je,Ot,Ut)),this._padding&&(ee.interpolatePadding(it,Nt,Ut),Sr=ee.centerPoint.add(hr)),this.terrain&&!w.freezeElevation&&this._updateElevation(Ut),et)ee.setLocationAtPoint(et,Mt);else{let tr=ee.zoomScale(ee.zoom-se),mr=Pe>se?Math.min(2,He):Math.max(.5,He),Rr=Math.pow(mr,1-Ut),zr=ee.unproject(Oe.add(Je.mult(Ut*Rr)).mult(tr));ee.setLocationAtPoint(ee.renderWorldCopies?zr.wrap():zr,Sr)}this._applyUpdatedTransform(ee),this._fireMoveEvents(B)},Ut=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B,Ut)},w),this}_prepareEase(w,B,Q={}){this._moving=!0,B||Q.moving||this.fire(new a.k(\"movestart\",w)),this._zooming&&!Q.zooming&&this.fire(new a.k(\"zoomstart\",w)),this._rotating&&!Q.rotating&&this.fire(new a.k(\"rotatestart\",w)),this._pitching&&!Q.pitching&&this.fire(new a.k(\"pitchstart\",w))}_prepareElevation(w){this._elevationCenter=w,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(w,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(w){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);let B=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(w<1&&B!==this._elevationTarget){let Q=this._elevationTarget-this._elevationStart;this._elevationStart+=w*(Q-(B-(Q*w+this._elevationStart))/(1-w)),this._elevationTarget=B}this.transform.elevation=a.y.number(this._elevationStart,this._elevationTarget,w)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(w){let B=w.getCameraPosition(),Q=this.terrain.getElevationForLngLatZoom(B.lngLat,w.zoom);if(B.altitudethis._elevateCameraIfInsideTerrain(ee)),this.transformCameraUpdate&&B.push(ee=>this.transformCameraUpdate(ee)),!B.length)return;let Q=w.clone();for(let ee of B){let se=Q.clone(),{center:qe,zoom:je,pitch:it,bearing:yt,elevation:Ot}=ee(se);qe&&(se.center=qe),je!==void 0&&(se.zoom=je),it!==void 0&&(se.pitch=it),yt!==void 0&&(se.bearing=yt),Ot!==void 0&&(se.elevation=Ot),Q.apply(se)}this.transform.apply(Q)}_fireMoveEvents(w){this.fire(new a.k(\"move\",w)),this._zooming&&this.fire(new a.k(\"zoom\",w)),this._rotating&&this.fire(new a.k(\"rotate\",w)),this._pitching&&this.fire(new a.k(\"pitch\",w))}_afterEase(w,B){if(this._easeId&&B&&this._easeId===B)return;delete this._easeId;let Q=this._zooming,ee=this._rotating,se=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,Q&&this.fire(new a.k(\"zoomend\",w)),ee&&this.fire(new a.k(\"rotateend\",w)),se&&this.fire(new a.k(\"pitchend\",w)),this.fire(new a.k(\"moveend\",w))}flyTo(w,B){var Q;if(!w.essential&&u.prefersReducedMotion){let Qi=a.M(w,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(Qi,B)}this.stop(),w=a.e({offset:[0,0],speed:1.2,curve:1.42,easing:a.b9},w);let ee=this._getTransformForUpdate(),se=ee.zoom,qe=ee.bearing,je=ee.pitch,it=ee.padding,yt=\"bearing\"in w?this._normalizeBearing(w.bearing,qe):qe,Ot=\"pitch\"in w?+w.pitch:je,Nt=\"padding\"in w?w.padding:ee.padding,hr=a.P.convert(w.offset),Sr=ee.centerPoint.add(hr),he=ee.pointLocation(Sr),{center:be,zoom:Pe}=ee.getConstrained(a.N.convert(w.center||he),(Q=w.zoom)!==null&&Q!==void 0?Q:se);this._normalizeCenter(be,ee);let Oe=ee.zoomScale(Pe-se),Je=ee.project(he),He=ee.project(be).sub(Je),et=w.curve,Mt=Math.max(ee.width,ee.height),Dt=Mt/Oe,Ut=He.mag();if(\"minZoom\"in w){let Qi=a.ac(Math.min(w.minZoom,se,Pe),ee.minZoom,ee.maxZoom),Mn=Mt/ee.zoomScale(Qi-se);et=Math.sqrt(Mn/Ut*2)}let tr=et*et;function mr(Qi){let Mn=(Dt*Dt-Mt*Mt+(Qi?-1:1)*tr*tr*Ut*Ut)/(2*(Qi?Dt:Mt)*tr*Ut);return Math.log(Math.sqrt(Mn*Mn+1)-Mn)}function Rr(Qi){return(Math.exp(Qi)-Math.exp(-Qi))/2}function zr(Qi){return(Math.exp(Qi)+Math.exp(-Qi))/2}let Xr=mr(!1),di=function(Qi){return zr(Xr)/zr(Xr+et*Qi)},Li=function(Qi){return Mt*((zr(Xr)*(Rr(Mn=Xr+et*Qi)/zr(Mn))-Rr(Xr))/tr)/Ut;var Mn},Ci=(mr(!0)-Xr)/et;if(Math.abs(Ut)<1e-6||!isFinite(Ci)){if(Math.abs(Mt-Dt)<1e-6)return this.easeTo(w,B);let Qi=Dt0,di=Mn=>Math.exp(Qi*et*Mn)}return w.duration=\"duration\"in w?+w.duration:1e3*Ci/(\"screenSpeed\"in w?+w.screenSpeed/et:+w.speed),w.maxDuration&&w.duration>w.maxDuration&&(w.duration=0),this._zooming=!0,this._rotating=qe!==yt,this._pitching=Ot!==je,this._padding=!ee.isPaddingEqual(Nt),this._prepareEase(B,!1),this.terrain&&this._prepareElevation(be),this._ease(Qi=>{let Mn=Qi*Ci,pa=1/di(Mn);ee.zoom=Qi===1?Pe:se+ee.scaleZoom(pa),this._rotating&&(ee.bearing=a.y.number(qe,yt,Qi)),this._pitching&&(ee.pitch=a.y.number(je,Ot,Qi)),this._padding&&(ee.interpolatePadding(it,Nt,Qi),Sr=ee.centerPoint.add(hr)),this.terrain&&!w.freezeElevation&&this._updateElevation(Qi);let ea=Qi===1?be:ee.unproject(Je.add(He.mult(Li(Mn))).mult(pa));ee.setLocationAtPoint(ee.renderWorldCopies?ea.wrap():ea,Sr),this._applyUpdatedTransform(ee),this._fireMoveEvents(B)},()=>{this.terrain&&w.freezeElevation&&this._finalizeElevation(),this._afterEase(B)},w),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(w,B){var Q;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){let ee=this._onEaseEnd;delete this._onEaseEnd,ee.call(this,B)}return w||(Q=this.handlers)===null||Q===void 0||Q.stop(!1),this}_ease(w,B,Q){Q.animate===!1||Q.duration===0?(w(1),B()):(this._easeStart=u.now(),this._easeOptions=Q,this._onEaseFrame=w,this._onEaseEnd=B,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(w,B){w=a.b3(w,-180,180);let Q=Math.abs(w-B);return Math.abs(w-360-B)180?-360:Q<-180?360:0}queryTerrainElevation(w){return this.terrain?this.terrain.getElevationForLngLatZoom(a.N.convert(w),this.transform.tileZoom)-this.transform.elevation:null}}let Ea={compact:!0,customAttribution:'MapLibre'};class qa{constructor(w=Ea){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=B=>{!B||B.sourceDataType!==\"metadata\"&&B.sourceDataType!==\"visibility\"&&B.dataType!==\"style\"&&B.type!==\"terrain\"||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact===!1?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=w}getDefaultPosition(){return\"bottom-right\"}onAdd(w){return this._map=w,this._compact=this.options.compact,this._container=c.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=c.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=c.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){c.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(w,B){let Q=this._map._getUIString(`AttributionControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)}_updateAttributions(){if(!this._map.style)return;let w=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?w=w.concat(this.options.customAttribution.map(ee=>typeof ee!=\"string\"?\"\":ee)):typeof this.options.customAttribution==\"string\"&&w.push(this.options.customAttribution)),this._map.style.stylesheet){let ee=this._map.style.stylesheet;this.styleOwner=ee.owner,this.styleId=ee.id}let B=this._map.style.sourceCaches;for(let ee in B){let se=B[ee];if(se.used||se.usedForTerrain){let qe=se.getSource();qe.attribution&&w.indexOf(qe.attribution)<0&&w.push(qe.attribution)}}w=w.filter(ee=>String(ee).trim()),w.sort((ee,se)=>ee.length-se.length),w=w.filter((ee,se)=>{for(let qe=se+1;qe=0)return!1;return!0});let Q=w.join(\" | \");Q!==this._attribHTML&&(this._attribHTML=Q,w.length?(this._innerContainer.innerHTML=Q,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Cn{constructor(w={}){this._updateCompact=()=>{let B=this._container.children;if(B.length){let Q=B[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?this._compact!==!1&&Q.classList.add(\"maplibregl-compact\"):Q.classList.remove(\"maplibregl-compact\")}},this.options=w}getDefaultPosition(){return\"bottom-left\"}onAdd(w){this._map=w,this._compact=this.options&&this.options.compact,this._container=c.create(\"div\",\"maplibregl-ctrl\");let B=c.create(\"a\",\"maplibregl-ctrl-logo\");return B.target=\"_blank\",B.rel=\"noopener nofollow\",B.href=\"https://maplibre.org/\",B.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),B.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(B),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){c.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class sn{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(w){let B=++this._id;return this._queue.push({callback:w,id:B,cancelled:!1}),B}remove(w){let B=this._currentlyRunning,Q=B?this._queue.concat(B):this._queue;for(let ee of Q)if(ee.id===w)return void(ee.cancelled=!0)}run(w=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");let B=this._currentlyRunning=this._queue;this._queue=[];for(let Q of B)if(!Q.cancelled&&(Q.callback(w),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var Ua=a.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class mo extends a.E{constructor(w){super(),this.sourceCache=w,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,w.usedForTerrain=!0,w.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(w,B){this.sourceCache.update(w,B),this._renderableTilesKeys=[];let Q={};for(let ee of w.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:B}))Q[ee.key]=!0,this._renderableTilesKeys.push(ee.key),this._tiles[ee.key]||(ee.posMatrix=new Float64Array(16),a.aP(ee.posMatrix,0,a.X,0,a.X,0,1),this._tiles[ee.key]=new Lt(ee,this.tileSize));for(let ee in this._tiles)Q[ee]||delete this._tiles[ee]}freeRtt(w){for(let B in this._tiles){let Q=this._tiles[B];(!w||Q.tileID.equals(w)||Q.tileID.isChildOf(w)||w.isChildOf(Q.tileID))&&(Q.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map(w=>this.getTileByID(w))}getTileByID(w){return this._tiles[w]}getTerrainCoords(w){let B={};for(let Q of this._renderableTilesKeys){let ee=this._tiles[Q].tileID;if(ee.canonical.equals(w.canonical)){let se=w.clone();se.posMatrix=new Float64Array(16),a.aP(se.posMatrix,0,a.X,0,a.X,0,1),B[Q]=se}else if(ee.canonical.isChildOf(w.canonical)){let se=w.clone();se.posMatrix=new Float64Array(16);let qe=ee.canonical.z-w.canonical.z,je=ee.canonical.x-(ee.canonical.x>>qe<>qe<>qe;a.aP(se.posMatrix,0,yt,0,yt,0,1),a.J(se.posMatrix,se.posMatrix,[-je*yt,-it*yt,0]),B[Q]=se}else if(w.canonical.isChildOf(ee.canonical)){let se=w.clone();se.posMatrix=new Float64Array(16);let qe=w.canonical.z-ee.canonical.z,je=w.canonical.x-(w.canonical.x>>qe<>qe<>qe;a.aP(se.posMatrix,0,a.X,0,a.X,0,1),a.J(se.posMatrix,se.posMatrix,[je*yt,it*yt,0]),a.K(se.posMatrix,se.posMatrix,[1/2**qe,1/2**qe,0]),B[Q]=se}}return B}getSourceTile(w,B){let Q=this.sourceCache._source,ee=w.overscaledZ-this.deltaZoom;if(ee>Q.maxzoom&&(ee=Q.maxzoom),ee=Q.minzoom&&(!se||!se.dem);)se=this.sourceCache.getTileByID(w.scaledTo(ee--).key);return se}tilesAfterTime(w=Date.now()){return Object.values(this._tiles).filter(B=>B.timeAdded>=w)}}class Xo{constructor(w,B,Q){this.painter=w,this.sourceCache=new mo(B),this.options=Q,this.exaggeration=typeof Q.exaggeration==\"number\"?Q.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(w,B,Q,ee=a.X){var se;if(!(B>=0&&B=0&&Qw.canonical.z&&(w.canonical.z>=ee?se=w.canonical.z-ee:a.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));let qe=w.canonical.x-(w.canonical.x>>se<>se<>8<<4|se>>8,B[qe+3]=0;let Q=new a.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(B.buffer)),ee=new p(w,Q,w.gl.RGBA,{premultiply:!1});return ee.bind(w.gl.NEAREST,w.gl.CLAMP_TO_EDGE),this._coordsTexture=ee,ee}pointCoordinate(w){this.painter.maybeDrawDepthAndCoords(!0);let B=new Uint8Array(4),Q=this.painter.context,ee=Q.gl,se=Math.round(w.x*this.painter.pixelRatio/devicePixelRatio),qe=Math.round(w.y*this.painter.pixelRatio/devicePixelRatio),je=Math.round(this.painter.height/devicePixelRatio);Q.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),ee.readPixels(se,je-qe-1,1,1,ee.RGBA,ee.UNSIGNED_BYTE,B),Q.bindFramebuffer.set(null);let it=B[0]+(B[2]>>4<<8),yt=B[1]+((15&B[2])<<8),Ot=this.coordsIndex[255-B[3]],Nt=Ot&&this.sourceCache.getTileByID(Ot);if(!Nt)return null;let hr=this._coordsTextureSize,Sr=(1<w.id!==B),this._recentlyUsed.push(w.id)}stampObject(w){w.stamp=++this._stamp}getOrCreateFreeObject(){for(let B of this._recentlyUsed)if(!this._objects[B].inUse)return this._objects[B];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");let w=this._createObject(this._objects.length);return this._objects.push(w),w}freeObject(w){w.inUse=!1}freeAllObjects(){for(let w of this._objects)this.freeObject(w)}isFull(){return!(this._objects.length!w.inUse)===!1}}let Qo={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class ys{constructor(w,B){this.painter=w,this.terrain=B,this.pool=new Ts(w.context,30,B.sourceCache.tileSize*B.qualityFactor)}destruct(){this.pool.destruct()}getTexture(w){return this.pool.getObjectForId(w.rtt[this._stacks.length-1].id).texture}prepareForRender(w,B){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=w._order.filter(Q=>!w._layers[Q].isHidden(B)),this._coordsDescendingInv={};for(let Q in w.sourceCaches){this._coordsDescendingInv[Q]={};let ee=w.sourceCaches[Q].getVisibleCoordinates();for(let se of ee){let qe=this.terrain.sourceCache.getTerrainCoords(se);for(let je in qe)this._coordsDescendingInv[Q][je]||(this._coordsDescendingInv[Q][je]=[]),this._coordsDescendingInv[Q][je].push(qe[je])}}this._coordsDescendingInvStr={};for(let Q of w._order){let ee=w._layers[Q],se=ee.source;if(Qo[ee.type]&&!this._coordsDescendingInvStr[se]){this._coordsDescendingInvStr[se]={};for(let qe in this._coordsDescendingInv[se])this._coordsDescendingInvStr[se][qe]=this._coordsDescendingInv[se][qe].map(je=>je.key).sort().join()}}for(let Q of this._renderableTiles)for(let ee in this._coordsDescendingInvStr){let se=this._coordsDescendingInvStr[ee][Q.tileID.key];se&&se!==Q.rttCoords[ee]&&(Q.rtt=[])}}renderLayer(w){if(w.isHidden(this.painter.transform.zoom))return!1;let B=w.type,Q=this.painter,ee=this._renderableLayerIds[this._renderableLayerIds.length-1]===w.id;if(Qo[B]&&(this._prevType&&Qo[this._prevType]||this._stacks.push([]),this._prevType=B,this._stacks[this._stacks.length-1].push(w.id),!ee))return!0;if(Qo[this._prevType]||Qo[B]&&ee){this._prevType=B;let se=this._stacks.length-1,qe=this._stacks[se]||[];for(let je of this._renderableTiles){if(this.pool.isFull()&&(eu(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(je),je.rtt[se]){let yt=this.pool.getObjectForId(je.rtt[se].id);if(yt.stamp===je.rtt[se].stamp){this.pool.useObject(yt);continue}}let it=this.pool.getOrCreateFreeObject();this.pool.useObject(it),this.pool.stampObject(it),je.rtt[se]={id:it.id,stamp:it.stamp},Q.context.bindFramebuffer.set(it.fbo.framebuffer),Q.context.clear({color:a.aM.transparent,stencil:0}),Q.currentStencilSource=void 0;for(let yt=0;yt{le.touchstart=le.dragStart,le.touchmoveWindow=le.dragMove,le.touchend=le.dragEnd},ia={showCompass:!0,showZoom:!0,visualizePitch:!1};class Ka{constructor(w,B,Q=!1){this.mousedown=qe=>{this.startMouse(a.e({},qe,{ctrlKey:!0,preventDefault:()=>qe.preventDefault()}),c.mousePos(this.element,qe)),c.addEventListener(window,\"mousemove\",this.mousemove),c.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=qe=>{this.moveMouse(qe,c.mousePos(this.element,qe))},this.mouseup=qe=>{this.mouseRotate.dragEnd(qe),this.mousePitch&&this.mousePitch.dragEnd(qe),this.offTemp()},this.touchstart=qe=>{qe.targetTouches.length!==1?this.reset():(this._startPos=this._lastPos=c.touchPos(this.element,qe.targetTouches)[0],this.startTouch(qe,this._startPos),c.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=qe=>{qe.targetTouches.length!==1?this.reset():(this._lastPos=c.touchPos(this.element,qe.targetTouches)[0],this.moveTouch(qe,this._lastPos))},this.touchend=qe=>{qe.targetTouches.length===0&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;let ee=w.dragRotate._mouseRotate.getClickTolerance(),se=w.dragRotate._mousePitch.getClickTolerance();this.element=B,this.mouseRotate=Rl({clickTolerance:ee,enable:!0}),this.touchRotate=(({enable:qe,clickTolerance:je,bearingDegreesPerPixelMoved:it=.8})=>{let yt=new pf;return new ju({clickTolerance:je,move:(Ot,Nt)=>({bearingDelta:(Nt.x-Ot.x)*it}),moveStateManager:yt,enable:qe,assignEvents:Rs})})({clickTolerance:ee,enable:!0}),this.map=w,Q&&(this.mousePitch=Ih({clickTolerance:se,enable:!0}),this.touchPitch=(({enable:qe,clickTolerance:je,pitchDegreesPerPixelMoved:it=-.5})=>{let yt=new pf;return new ju({clickTolerance:je,move:(Ot,Nt)=>({pitchDelta:(Nt.y-Ot.y)*it}),moveStateManager:yt,enable:qe,assignEvents:Rs})})({clickTolerance:se,enable:!0})),c.addEventListener(B,\"mousedown\",this.mousedown),c.addEventListener(B,\"touchstart\",this.touchstart,{passive:!1}),c.addEventListener(B,\"touchcancel\",this.reset)}startMouse(w,B){this.mouseRotate.dragStart(w,B),this.mousePitch&&this.mousePitch.dragStart(w,B),c.disableDrag()}startTouch(w,B){this.touchRotate.dragStart(w,B),this.touchPitch&&this.touchPitch.dragStart(w,B),c.disableDrag()}moveMouse(w,B){let Q=this.map,{bearingDelta:ee}=this.mouseRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.mousePitch){let{pitchDelta:se}=this.mousePitch.dragMove(w,B)||{};se&&Q.setPitch(Q.getPitch()+se)}}moveTouch(w,B){let Q=this.map,{bearingDelta:ee}=this.touchRotate.dragMove(w,B)||{};if(ee&&Q.setBearing(Q.getBearing()+ee),this.touchPitch){let{pitchDelta:se}=this.touchPitch.dragMove(w,B)||{};se&&Q.setPitch(Q.getPitch()+se)}}off(){let w=this.element;c.removeEventListener(w,\"mousedown\",this.mousedown),c.removeEventListener(w,\"touchstart\",this.touchstart,{passive:!1}),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend),c.removeEventListener(w,\"touchcancel\",this.reset),this.offTemp()}offTemp(){c.enableDrag(),c.removeEventListener(window,\"mousemove\",this.mousemove),c.removeEventListener(window,\"mouseup\",this.mouseup),c.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),c.removeEventListener(window,\"touchend\",this.touchend)}}let vs;function Ko(le,w,B){let Q=new a.N(le.lng,le.lat);if(le=new a.N(le.lng,le.lat),w){let ee=new a.N(le.lng-360,le.lat),se=new a.N(le.lng+360,le.lat),qe=B.locationPoint(le).distSqr(w);B.locationPoint(ee).distSqr(w)180;){let ee=B.locationPoint(le);if(ee.x>=0&&ee.y>=0&&ee.x<=B.width&&ee.y<=B.height)break;le.lng>B.center.lng?le.lng-=360:le.lng+=360}return le.lng!==Q.lng&&B.locationPoint(le).y>B.height/2-B.getHorizon()?le:Q}let iu={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Ru(le,w,B){let Q=le.classList;for(let ee in iu)Q.remove(`maplibregl-${B}-anchor-${ee}`);Q.add(`maplibregl-${B}-anchor-${w}`)}class ac extends a.E{constructor(w){if(super(),this._onKeyPress=B=>{let Q=B.code,ee=B.charCode||B.keyCode;Q!==\"Space\"&&Q!==\"Enter\"&&ee!==32&&ee!==13||this.togglePopup()},this._onMapClick=B=>{let Q=B.originalEvent.target,ee=this._element;this._popup&&(Q===ee||ee.contains(Q))&&this.togglePopup()},this._update=B=>{var Q;if(!this._map)return;let ee=this._map.loaded()&&!this._map.isMoving();((B==null?void 0:B.type)===\"terrain\"||(B==null?void 0:B.type)===\"render\"&&!ee)&&this._map.once(\"render\",this._update),this._lngLat=this._map.transform.renderWorldCopies?Ko(this._lngLat,this._flatPos,this._map.transform):(Q=this._lngLat)===null||Q===void 0?void 0:Q.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let se=\"\";this._rotationAlignment===\"viewport\"||this._rotationAlignment===\"auto\"?se=`rotateZ(${this._rotation}deg)`:this._rotationAlignment===\"map\"&&(se=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let qe=\"\";this._pitchAlignment===\"viewport\"||this._pitchAlignment===\"auto\"?qe=\"rotateX(0deg)\":this._pitchAlignment===\"map\"&&(qe=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||B&&B.type!==\"moveend\"||(this._pos=this._pos.round()),c.setTransform(this._element,`${iu[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${qe} ${se}`),u.frameAsync(new AbortController).then(()=>{this._updateOpacity(B&&B.type===\"moveend\")}).catch(()=>{})},this._onMove=B=>{if(!this._isDragging){let Q=this._clickTolerance||this._map._clickTolerance;this._isDragging=B.point.dist(this._pointerdownPos)>=Q}this._isDragging&&(this._pos=B.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",this._state===\"pending\"&&(this._state=\"active\",this.fire(new a.k(\"dragstart\"))),this.fire(new a.k(\"drag\")))},this._onUp=()=>{this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),this._state===\"active\"&&this.fire(new a.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=B=>{this._element.contains(B.originalEvent.target)&&(B.preventDefault(),this._positionDelta=B.point.sub(this._pos).add(this._offset),this._pointerdownPos=B.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},this._anchor=w&&w.anchor||\"center\",this._color=w&&w.color||\"#3FB1CE\",this._scale=w&&w.scale||1,this._draggable=w&&w.draggable||!1,this._clickTolerance=w&&w.clickTolerance||0,this._subpixelPositioning=w&&w.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=w&&w.rotation||0,this._rotationAlignment=w&&w.rotationAlignment||\"auto\",this._pitchAlignment=w&&w.pitchAlignment&&w.pitchAlignment!==\"auto\"?w.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(w==null?void 0:w.opacity,w==null?void 0:w.opacityWhenCovered),w&&w.element)this._element=w.element,this._offset=a.P.convert(w&&w.offset||[0,0]);else{this._defaultMarker=!0,this._element=c.create(\"div\");let B=c.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),Q=41,ee=27;B.setAttributeNS(null,\"display\",\"block\"),B.setAttributeNS(null,\"height\",`${Q}px`),B.setAttributeNS(null,\"width\",`${ee}px`),B.setAttributeNS(null,\"viewBox\",`0 0 ${ee} ${Q}`);let se=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");se.setAttributeNS(null,\"stroke\",\"none\"),se.setAttributeNS(null,\"stroke-width\",\"1\"),se.setAttributeNS(null,\"fill\",\"none\"),se.setAttributeNS(null,\"fill-rule\",\"evenodd\");let qe=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");qe.setAttributeNS(null,\"fill-rule\",\"nonzero\");let je=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");je.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),je.setAttributeNS(null,\"fill\",\"#000000\");let it=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];for(let Oe of it){let Je=c.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");Je.setAttributeNS(null,\"opacity\",\"0.04\"),Je.setAttributeNS(null,\"cx\",\"10.5\"),Je.setAttributeNS(null,\"cy\",\"5.80029008\"),Je.setAttributeNS(null,\"rx\",Oe.rx),Je.setAttributeNS(null,\"ry\",Oe.ry),je.appendChild(Je)}let yt=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");yt.setAttributeNS(null,\"fill\",this._color);let Ot=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");Ot.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),yt.appendChild(Ot);let Nt=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Nt.setAttributeNS(null,\"opacity\",\"0.25\"),Nt.setAttributeNS(null,\"fill\",\"#000000\");let hr=c.createNS(\"http://www.w3.org/2000/svg\",\"path\");hr.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),Nt.appendChild(hr);let Sr=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");Sr.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),Sr.setAttributeNS(null,\"fill\",\"#FFFFFF\");let he=c.createNS(\"http://www.w3.org/2000/svg\",\"g\");he.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");let be=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");be.setAttributeNS(null,\"fill\",\"#000000\"),be.setAttributeNS(null,\"opacity\",\"0.25\"),be.setAttributeNS(null,\"cx\",\"5.5\"),be.setAttributeNS(null,\"cy\",\"5.5\"),be.setAttributeNS(null,\"r\",\"5.4999962\");let Pe=c.createNS(\"http://www.w3.org/2000/svg\",\"circle\");Pe.setAttributeNS(null,\"fill\",\"#FFFFFF\"),Pe.setAttributeNS(null,\"cx\",\"5.5\"),Pe.setAttributeNS(null,\"cy\",\"5.5\"),Pe.setAttributeNS(null,\"r\",\"5.4999962\"),he.appendChild(be),he.appendChild(Pe),qe.appendChild(je),qe.appendChild(yt),qe.appendChild(Nt),qe.appendChild(Sr),qe.appendChild(he),B.appendChild(qe),B.setAttributeNS(null,\"height\",Q*this._scale+\"px\"),B.setAttributeNS(null,\"width\",ee*this._scale+\"px\"),this._element.appendChild(B),this._offset=a.P.convert(w&&w.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",B=>{B.preventDefault()}),this._element.addEventListener(\"mousedown\",B=>{B.preventDefault()}),Ru(this._element,this._anchor,\"marker\"),w&&w.className)for(let B of w.className.split(\" \"))this._element.classList.add(B);this._popup=null}addTo(w){return this.remove(),this._map=w,this._element.setAttribute(\"aria-label\",w._getUIString(\"Marker.Title\")),w.getCanvasContainer().appendChild(this._element),w.on(\"move\",this._update),w.on(\"moveend\",this._update),w.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),c.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(w){return this._lngLat=a.N.convert(w),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(w){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),w){if(!(\"offset\"in w.options)){let ee=Math.abs(13.5)/Math.SQRT2;w.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[ee,-1*(38.1-13.5+ee)],\"bottom-right\":[-ee,-1*(38.1-13.5+ee)],left:[13.5,-1*(38.1-13.5)],right:[-13.5,-1*(38.1-13.5)]}:this._offset}this._popup=w,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(w){return this._subpixelPositioning=w,this}getPopup(){return this._popup}togglePopup(){let w=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:w?(w.isOpen()?w.remove():(w.setLngLat(this._lngLat),w.addTo(this._map)),this):this}_updateOpacity(w=!1){var B,Q;if(!(!((B=this._map)===null||B===void 0)&&B.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(w)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout(()=>{this._opacityTimeout=null},100)}let ee=this._map,se=ee.terrain.depthAtPoint(this._pos),qe=ee.terrain.getElevationForLngLatZoom(this._lngLat,ee.transform.tileZoom);if(ee.transform.lngLatToCameraDepth(this._lngLat,qe)-se<.006)return void(this._element.style.opacity=this._opacity);let je=-this._offset.y/ee.transform._pixelPerMeter,it=Math.sin(ee.getPitch()*Math.PI/180)*je,yt=ee.terrain.depthAtPoint(new a.P(this._pos.x,this._pos.y-this._offset.y)),Ot=ee.transform.lngLatToCameraDepth(this._lngLat,qe+it)-yt>.006;!((Q=this._popup)===null||Q===void 0)&&Q.isOpen()&&Ot&&this._popup.remove(),this._element.style.opacity=Ot?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(w){return this._offset=a.P.convert(w),this._update(),this}addClassName(w){this._element.classList.add(w)}removeClassName(w){this._element.classList.remove(w)}toggleClassName(w){return this._element.classList.toggle(w)}setDraggable(w){return this._draggable=!!w,this._map&&(w?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this}isDraggable(){return this._draggable}setRotation(w){return this._rotation=w||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(w){return this._rotationAlignment=w||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(w){return this._pitchAlignment=w&&w!==\"auto\"?w:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(w,B){return w===void 0&&B===void 0&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),w!==void 0&&(this._opacity=w),B!==void 0&&(this._opacityWhenCovered=B),this._map&&this._updateOpacity(!0),this}}let mf={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},bu=0,Kc=!1,Du={maxWidth:100,unit:\"metric\"};function Dc(le,w,B){let Q=B&&B.maxWidth||100,ee=le._container.clientHeight/2,se=le.unproject([0,ee]),qe=le.unproject([Q,ee]),je=se.distanceTo(qe);if(B&&B.unit===\"imperial\"){let it=3.2808*je;it>5280?Da(w,Q,it/5280,le._getUIString(\"ScaleControl.Miles\")):Da(w,Q,it,le._getUIString(\"ScaleControl.Feet\"))}else B&&B.unit===\"nautical\"?Da(w,Q,je/1852,le._getUIString(\"ScaleControl.NauticalMiles\")):je>=1e3?Da(w,Q,je/1e3,le._getUIString(\"ScaleControl.Kilometers\")):Da(w,Q,je,le._getUIString(\"ScaleControl.Meters\"))}function Da(le,w,B,Q){let ee=function(se){let qe=Math.pow(10,`${Math.floor(se)}`.length-1),je=se/qe;return je=je>=10?10:je>=5?5:je>=3?3:je>=2?2:je>=1?1:function(it){let yt=Math.pow(10,Math.ceil(-Math.log(it)/Math.LN10));return Math.round(it*yt)/yt}(je),qe*je}(B);le.style.width=w*(ee/B)+\"px\",le.innerHTML=`${ee} ${Q}`}let eo={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},Jc=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");function yc(le){if(le){if(typeof le==\"number\"){let w=Math.round(Math.abs(le)/Math.SQRT2);return{center:new a.P(0,0),top:new a.P(0,le),\"top-left\":new a.P(w,w),\"top-right\":new a.P(-w,w),bottom:new a.P(0,-le),\"bottom-left\":new a.P(w,-w),\"bottom-right\":new a.P(-w,-w),left:new a.P(le,0),right:new a.P(-le,0)}}if(le instanceof a.P||Array.isArray(le)){let w=a.P.convert(le);return{center:w,top:w,\"top-left\":w,\"top-right\":w,bottom:w,\"bottom-left\":w,\"bottom-right\":w,left:w,right:w}}return{center:a.P.convert(le.center||[0,0]),top:a.P.convert(le.top||[0,0]),\"top-left\":a.P.convert(le[\"top-left\"]||[0,0]),\"top-right\":a.P.convert(le[\"top-right\"]||[0,0]),bottom:a.P.convert(le.bottom||[0,0]),\"bottom-left\":a.P.convert(le[\"bottom-left\"]||[0,0]),\"bottom-right\":a.P.convert(le[\"bottom-right\"]||[0,0]),left:a.P.convert(le.left||[0,0]),right:a.P.convert(le.right||[0,0])}}return yc(new a.P(0,0))}let _c=o;i.AJAXError=a.bh,i.Evented=a.E,i.LngLat=a.N,i.MercatorCoordinate=a.Z,i.Point=a.P,i.addProtocol=a.bi,i.config=a.a,i.removeProtocol=a.bj,i.AttributionControl=qa,i.BoxZoomHandler=xu,i.CanvasSource=Ct,i.CooperativeGesturesHandler=qi,i.DoubleClickZoomHandler=fi,i.DragPanHandler=Xi,i.DragRotateHandler=hn,i.EdgeInsets=ic,i.FullscreenControl=class extends a.E{constructor(le={}){super(),this._onFullscreenChange=()=>{var w;let B=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;!((w=B==null?void 0:B.shadowRoot)===null||w===void 0)&&w.fullscreenElement;)B=B.shadowRoot.fullscreenElement;B===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,le&&le.container&&(le.container instanceof HTMLElement?this._container=le.container:a.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(le){return this._map=le,this._container||(this._container=this._map.getContainer()),this._controlContainer=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){c.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){let le=this._fullscreenButton=c.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);c.create(\"span\",\"maplibregl-ctrl-icon\",le).setAttribute(\"aria-hidden\",\"true\"),le.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){let le=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",le),this._fullscreenButton.title=le}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new a.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new a.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}},i.GeoJSONSource=rt,i.GeolocateControl=class extends a.E{constructor(le){super(),this._onSuccess=w=>{if(this._map){if(this._isOutOfMapMaxBounds(w))return this._setErrorState(),this.fire(new a.k(\"outofmaxbounds\",w)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=w,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&this._watchState!==\"OFF\"&&this._updateMarker(w),this.options.trackUserLocation&&this._watchState!==\"ACTIVE_LOCK\"||this._updateCamera(w),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"geolocate\",w)),this._finish()}},this._updateCamera=w=>{let B=new a.N(w.coords.longitude,w.coords.latitude),Q=w.coords.accuracy,ee=this._map.getBearing(),se=a.e({bearing:ee},this.options.fitBoundsOptions),qe=ce.fromLngLat(B,Q);this._map.fitBounds(qe,se,{geolocateSource:!0})},this._updateMarker=w=>{if(w){let B=new a.N(w.coords.longitude,w.coords.latitude);this._accuracyCircleMarker.setLngLat(B).addTo(this._map),this._userLocationDotMarker.setLngLat(B).addTo(this._map),this._accuracy=w.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=w=>{if(this._map){if(this.options.trackUserLocation)if(w.code===1){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B),this._geolocationWatchID!==void 0&&this._clearWatch()}else{if(w.code===3&&Kc)return;this._setErrorState()}this._watchState!==\"OFF\"&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new a.k(\"error\",w)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",w=>w.preventDefault()),this._geolocateButton=c.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=w=>{if(this._map){if(w===!1){a.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");let B=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}else{let B=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=B,this._geolocateButton.setAttribute(\"aria-label\",B)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=c.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new ac({element:this._dotElement}),this._circleElement=c.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new ac({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",()=>this.trigger()),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",B=>{B.geolocateSource||this._watchState!==\"ACTIVE_LOCK\"||B.originalEvent&&B.originalEvent.type===\"resize\"||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new a.k(\"trackuserlocationend\")),this.fire(new a.k(\"userlocationlostfocus\")))})}},this.options=a.e({},mf,le)}onAdd(le){return this._map=le,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),function(){return a._(this,arguments,void 0,function*(w=!1){if(vs!==void 0&&!w)return vs;if(window.navigator.permissions===void 0)return vs=!!window.navigator.geolocation,vs;try{vs=(yield window.navigator.permissions.query({name:\"geolocation\"})).state!==\"denied\"}catch(B){vs=!!window.navigator.geolocation}return vs})}().then(w=>this._finishSetupUI(w)),this._container}onRemove(){this._geolocationWatchID!==void 0&&(window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),c.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,bu=0,Kc=!1}_isOutOfMapMaxBounds(le){let w=this._map.getMaxBounds(),B=le.coords;return w&&(B.longitudew.getEast()||B.latitudew.getNorth())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){let le=this._map.getBounds(),w=le.getSouthEast(),B=le.getNorthEast(),Q=w.distanceTo(B),ee=Math.ceil(this._accuracy/(Q/this._map._container.clientHeight)*2);this._circleElement.style.width=`${ee}px`,this._circleElement.style.height=`${ee}px`}trigger(){if(!this._setup)return a.w(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new a.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":bu--,Kc=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new a.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new a.k(\"trackuserlocationstart\")),this.fire(new a.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(this._watchState===\"OFF\"&&this._geolocationWatchID!==void 0)this._clearWatch();else if(this._geolocationWatchID===void 0){let le;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),bu++,bu>1?(le={maximumAge:6e5,timeout:0},Kc=!0):(le=this.options.positionOptions,Kc=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,le)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}},i.Hash=gd,i.ImageSource=Rt,i.KeyboardHandler=Bt,i.LngLatBounds=ce,i.LogoControl=Cn,i.Map=class extends Ta{constructor(le){a.bf.mark(a.bg.create);let w=Object.assign(Object.assign({},Gs),le);if(w.minZoom!=null&&w.maxZoom!=null&&w.minZoom>w.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(w.minPitch!=null&&w.maxPitch!=null&&w.minPitch>w.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(w.minPitch!=null&&w.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(w.maxPitch!=null&&w.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new Qs(w.minZoom,w.maxZoom,w.minPitch,w.maxPitch,w.renderWorldCopies),{bearingSnap:w.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new sn,this._controls=[],this._mapId=a.a4(),this._contextLost=B=>{B.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new a.k(\"webglcontextlost\",{originalEvent:B}))},this._contextRestored=B=>{this._setupPainter(),this.resize(),this._update(),this.fire(new a.k(\"webglcontextrestored\",{originalEvent:B}))},this._onMapScroll=B=>{if(B.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=w.interactive,this._maxTileCacheSize=w.maxTileCacheSize,this._maxTileCacheZoomLevels=w.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=w.failIfMajorPerformanceCaveat===!0,this._preserveDrawingBuffer=w.preserveDrawingBuffer===!0,this._antialias=w.antialias===!0,this._trackResize=w.trackResize===!0,this._bearingSnap=w.bearingSnap,this._refreshExpiredTiles=w.refreshExpiredTiles===!0,this._fadeDuration=w.fadeDuration,this._crossSourceCollisions=w.crossSourceCollisions===!0,this._collectResourceTiming=w.collectResourceTiming===!0,this._locale=Object.assign(Object.assign({},Bo),w.locale),this._clickTolerance=w.clickTolerance,this._overridePixelRatio=w.pixelRatio,this._maxCanvasSize=w.maxCanvasSize,this.transformCameraUpdate=w.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=w.cancelPendingTileRequestsWhileZooming===!0,this._imageQueueHandle=g.addThrottleControl(()=>this.isMoving()),this._requestManager=new E(w.transformRequest),typeof w.container==\"string\"){if(this._container=document.getElementById(w.container),!this._container)throw new Error(`Container '${w.container}' not found.`)}else{if(!(w.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=w.container}if(w.maxBounds&&this.setMaxBounds(w.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",()=>this._update(!1)).on(\"moveend\",()=>this._update(!1)).on(\"zoom\",()=>this._update(!0)).on(\"terrain\",()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)}).once(\"idle\",()=>{this._idleTriggered=!0}),typeof window!=\"undefined\"){addEventListener(\"online\",this._onWindowOnline,!1);let B=!1,Q=Qh(ee=>{this._trackResize&&!this._removed&&(this.resize(ee),this.redraw())},50);this._resizeObserver=new ResizeObserver(ee=>{B?Q(ee):B=!0}),this._resizeObserver.observe(this._container)}this.handlers=new Ma(this,w),this._hash=w.hash&&new gd(typeof w.hash==\"string\"&&w.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:w.center,zoom:w.zoom,bearing:w.bearing,pitch:w.pitch}),w.bounds&&(this.resize(),this.fitBounds(w.bounds,a.e({},w.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=w.localIdeographFontFamily,this._validateStyle=w.validateStyle,w.style&&this.setStyle(w.style,{localIdeographFontFamily:w.localIdeographFontFamily}),w.attributionControl&&this.addControl(new qa(typeof w.attributionControl==\"boolean\"?void 0:w.attributionControl)),w.maplibreLogo&&this.addControl(new Cn,w.logoPosition),this.on(\"style.load\",()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)}),this.on(\"data\",B=>{this._update(B.dataType===\"style\"),this.fire(new a.k(`${B.dataType}data`,B))}),this.on(\"dataloading\",B=>{this.fire(new a.k(`${B.dataType}dataloading`,B))}),this.on(\"dataabort\",B=>{this.fire(new a.k(\"sourcedataabort\",B))})}_getMapId(){return this._mapId}addControl(le,w){if(w===void 0&&(w=le.getDefaultPosition?le.getDefaultPosition():\"top-right\"),!le||!le.onAdd)return this.fire(new a.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));let B=le.onAdd(this);this._controls.push(le);let Q=this._controlPositions[w];return w.indexOf(\"bottom\")!==-1?Q.insertBefore(B,Q.firstChild):Q.appendChild(B),this}removeControl(le){if(!le||!le.onRemove)return this.fire(new a.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));let w=this._controls.indexOf(le);return w>-1&&this._controls.splice(w,1),le.onRemove(this),this}hasControl(le){return this._controls.indexOf(le)>-1}calculateCameraOptionsFromTo(le,w,B,Q){return Q==null&&this.terrain&&(Q=this.terrain.getElevationForLngLatZoom(B,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(le,w,B,Q)}resize(le){var w;let B=this._containerDimensions(),Q=B[0],ee=B[1],se=this._getClampedPixelRatio(Q,ee);if(this._resizeCanvas(Q,ee,se),this.painter.resize(Q,ee,se),this.painter.overLimit()){let je=this.painter.context.gl;this._maxCanvasSize=[je.drawingBufferWidth,je.drawingBufferHeight];let it=this._getClampedPixelRatio(Q,ee);this._resizeCanvas(Q,ee,it),this.painter.resize(Q,ee,it)}this.transform.resize(Q,ee),(w=this._requestedCameraState)===null||w===void 0||w.resize(Q,ee);let qe=!this._moving;return qe&&(this.stop(),this.fire(new a.k(\"movestart\",le)).fire(new a.k(\"move\",le))),this.fire(new a.k(\"resize\",le)),qe&&this.fire(new a.k(\"moveend\",le)),this}_getClampedPixelRatio(le,w){let{0:B,1:Q}=this._maxCanvasSize,ee=this.getPixelRatio(),se=le*ee,qe=w*ee;return Math.min(se>B?B/se:1,qe>Q?Q/qe:1)*ee}getPixelRatio(){var le;return(le=this._overridePixelRatio)!==null&&le!==void 0?le:devicePixelRatio}setPixelRatio(le){this._overridePixelRatio=le,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(le){return this.transform.setMaxBounds(ce.convert(le)),this._update()}setMinZoom(le){if((le=le==null?-2:le)>=-2&&le<=this.transform.maxZoom)return this.transform.minZoom=le,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=le,this._update(),this.getZoom()>le&&this.setZoom(le),this;throw new Error(\"maxZoom must be greater than the current minZoom\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(le){if((le=le==null?0:le)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(le>=0&&le<=this.transform.maxPitch)return this.transform.minPitch=le,this._update(),this.getPitch()85)throw new Error(\"maxPitch must be less than or equal to 85\");if(le>=this.transform.minPitch)return this.transform.maxPitch=le,this._update(),this.getPitch()>le&&this.setPitch(le),this;throw new Error(\"maxPitch must be greater than the current minPitch\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(le){return this.transform.renderWorldCopies=le,this._update()}project(le){return this.transform.locationPoint(a.N.convert(le),this.style&&this.terrain)}unproject(le){return this.transform.pointLocation(a.P.convert(le),this.terrain)}isMoving(){var le;return this._moving||((le=this.handlers)===null||le===void 0?void 0:le.isMoving())}isZooming(){var le;return this._zooming||((le=this.handlers)===null||le===void 0?void 0:le.isZooming())}isRotating(){var le;return this._rotating||((le=this.handlers)===null||le===void 0?void 0:le.isRotating())}_createDelegatedListener(le,w,B){if(le===\"mouseenter\"||le===\"mouseover\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:se=>{let qe=w.filter(it=>this.getLayer(it)),je=qe.length!==0?this.queryRenderedFeatures(se.point,{layers:qe}):[];je.length?Q||(Q=!0,B.call(this,new tu(le,this,se.originalEvent,{features:je}))):Q=!1},mouseout:()=>{Q=!1}}}}if(le===\"mouseleave\"||le===\"mouseout\"){let Q=!1;return{layers:w,listener:B,delegates:{mousemove:qe=>{let je=w.filter(it=>this.getLayer(it));(je.length!==0?this.queryRenderedFeatures(qe.point,{layers:je}):[]).length?Q=!0:Q&&(Q=!1,B.call(this,new tu(le,this,qe.originalEvent)))},mouseout:qe=>{Q&&(Q=!1,B.call(this,new tu(le,this,qe.originalEvent)))}}}}{let Q=ee=>{let se=w.filter(je=>this.getLayer(je)),qe=se.length!==0?this.queryRenderedFeatures(ee.point,{layers:se}):[];qe.length&&(ee.features=qe,B.call(this,ee),delete ee.features)};return{layers:w,listener:B,delegates:{[le]:Q}}}}_saveDelegatedListener(le,w){this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[le]=this._delegatedListeners[le]||[],this._delegatedListeners[le].push(w)}_removeDelegatedListener(le,w,B){if(!this._delegatedListeners||!this._delegatedListeners[le])return;let Q=this._delegatedListeners[le];for(let ee=0;eew.includes(qe))){for(let qe in se.delegates)this.off(qe,se.delegates[qe]);return void Q.splice(ee,1)}}}on(le,w,B){if(B===void 0)return super.on(le,w);let Q=this._createDelegatedListener(le,typeof w==\"string\"?[w]:w,B);this._saveDelegatedListener(le,Q);for(let ee in Q.delegates)this.on(ee,Q.delegates[ee]);return this}once(le,w,B){if(B===void 0)return super.once(le,w);let Q=typeof w==\"string\"?[w]:w,ee=this._createDelegatedListener(le,Q,B);for(let se in ee.delegates){let qe=ee.delegates[se];ee.delegates[se]=(...je)=>{this._removeDelegatedListener(le,Q,B),qe(...je)}}this._saveDelegatedListener(le,ee);for(let se in ee.delegates)this.once(se,ee.delegates[se]);return this}off(le,w,B){return B===void 0?super.off(le,w):(this._removeDelegatedListener(le,typeof w==\"string\"?[w]:w,B),this)}queryRenderedFeatures(le,w){if(!this.style)return[];let B,Q=le instanceof a.P||Array.isArray(le),ee=Q?le:[[0,0],[this.transform.width,this.transform.height]];if(w=w||(Q?{}:le)||{},ee instanceof a.P||typeof ee[0]==\"number\")B=[a.P.convert(ee)];else{let se=a.P.convert(ee[0]),qe=a.P.convert(ee[1]);B=[se,new a.P(qe.x,se.y),qe,new a.P(se.x,qe.y),se]}return this.style.queryRenderedFeatures(B,w,this.transform)}querySourceFeatures(le,w){return this.style.querySourceFeatures(le,w)}setStyle(le,w){return(w=a.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},w)).diff!==!1&&w.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&le?(this._diffStyle(le,w),this):(this._localIdeographFontFamily=w.localIdeographFontFamily,this._updateStyle(le,w))}setTransformRequest(le){return this._requestManager.setTransformRequest(le),this}_getUIString(le){let w=this._locale[le];if(w==null)throw new Error(`Missing UI string '${le}'`);return w}_updateStyle(le,w){if(w.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",()=>this._updateStyle(le,w));let B=this.style&&w.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!le)),le?(this.style=new Ha(this,w||{}),this.style.setEventedParent(this,{style:this.style}),typeof le==\"string\"?this.style.loadURL(le,w,B):this.style.loadJSON(le,w,B),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new Ha(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(le,w){if(typeof le==\"string\"){let B=this._requestManager.transformRequest(le,\"Style\");a.h(B,new AbortController).then(Q=>{this._updateDiff(Q.data,w)}).catch(Q=>{Q&&this.fire(new a.j(Q))})}else typeof le==\"object\"&&this._updateDiff(le,w)}_updateDiff(le,w){try{this.style.setState(le,w)&&this._update(!0)}catch(B){a.w(`Unable to perform style diff: ${B.message||B.error||B}. Rebuilding the style from scratch.`),this._updateStyle(le,w)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():a.w(\"There is no style added to the map.\")}addSource(le,w){return this._lazyInitEmptyStyle(),this.style.addSource(le,w),this._update(!0)}isSourceLoaded(le){let w=this.style&&this.style.sourceCaches[le];if(w!==void 0)return w.loaded();this.fire(new a.j(new Error(`There is no source with ID '${le}'`)))}setTerrain(le){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),le){let w=this.style.sourceCaches[le.source];if(!w)throw new Error(`cannot load terrain, because there exists no source with ID: ${le.source}`);this.terrain===null&&w.reload();for(let B in this.style._layers){let Q=this.style._layers[B];Q.type===\"hillshade\"&&Q.source===le.source&&a.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new Xo(this.painter,w,le),this.painter.renderToTexture=new ys(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=B=>{B.dataType===\"style\"?this.terrain.sourceCache.freeRtt():B.dataType===\"source\"&&B.tile&&(B.sourceId!==le.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(B.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new a.k(\"terrain\",{terrain:le})),this}getTerrain(){var le,w;return(w=(le=this.terrain)===null||le===void 0?void 0:le.options)!==null&&w!==void 0?w:null}areTilesLoaded(){let le=this.style&&this.style.sourceCaches;for(let w in le){let B=le[w]._tiles;for(let Q in B){let ee=B[Q];if(ee.state!==\"loaded\"&&ee.state!==\"errored\")return!1}}return!0}removeSource(le){return this.style.removeSource(le),this._update(!0)}getSource(le){return this.style.getSource(le)}addImage(le,w,B={}){let{pixelRatio:Q=1,sdf:ee=!1,stretchX:se,stretchY:qe,content:je,textFitWidth:it,textFitHeight:yt}=B;if(this._lazyInitEmptyStyle(),!(w instanceof HTMLImageElement||a.b(w))){if(w.width===void 0||w.height===void 0)return this.fire(new a.j(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));{let{width:Ot,height:Nt,data:hr}=w,Sr=w;return this.style.addImage(le,{data:new a.R({width:Ot,height:Nt},new Uint8Array(hr)),pixelRatio:Q,stretchX:se,stretchY:qe,content:je,textFitWidth:it,textFitHeight:yt,sdf:ee,version:0,userImage:Sr}),Sr.onAdd&&Sr.onAdd(this,le),this}}{let{width:Ot,height:Nt,data:hr}=u.getImageData(w);this.style.addImage(le,{data:new a.R({width:Ot,height:Nt},hr),pixelRatio:Q,stretchX:se,stretchY:qe,content:je,textFitWidth:it,textFitHeight:yt,sdf:ee,version:0})}}updateImage(le,w){let B=this.style.getImage(le);if(!B)return this.fire(new a.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));let Q=w instanceof HTMLImageElement||a.b(w)?u.getImageData(w):w,{width:ee,height:se,data:qe}=Q;if(ee===void 0||se===void 0)return this.fire(new a.j(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(ee!==B.data.width||se!==B.data.height)return this.fire(new a.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));let je=!(w instanceof HTMLImageElement||a.b(w));return B.data.replace(qe,je),this.style.updateImage(le,B),this}getImage(le){return this.style.getImage(le)}hasImage(le){return le?!!this.style.getImage(le):(this.fire(new a.j(new Error(\"Missing required image id\"))),!1)}removeImage(le){this.style.removeImage(le)}loadImage(le){return g.getImage(this._requestManager.transformRequest(le,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(le,w){return this._lazyInitEmptyStyle(),this.style.addLayer(le,w),this._update(!0)}moveLayer(le,w){return this.style.moveLayer(le,w),this._update(!0)}removeLayer(le){return this.style.removeLayer(le),this._update(!0)}getLayer(le){return this.style.getLayer(le)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(le,w,B){return this.style.setLayerZoomRange(le,w,B),this._update(!0)}setFilter(le,w,B={}){return this.style.setFilter(le,w,B),this._update(!0)}getFilter(le){return this.style.getFilter(le)}setPaintProperty(le,w,B,Q={}){return this.style.setPaintProperty(le,w,B,Q),this._update(!0)}getPaintProperty(le,w){return this.style.getPaintProperty(le,w)}setLayoutProperty(le,w,B,Q={}){return this.style.setLayoutProperty(le,w,B,Q),this._update(!0)}getLayoutProperty(le,w){return this.style.getLayoutProperty(le,w)}setGlyphs(le,w={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(le,w),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(le,w,B={}){return this._lazyInitEmptyStyle(),this.style.addSprite(le,w,B,Q=>{Q||this._update(!0)}),this}removeSprite(le){return this._lazyInitEmptyStyle(),this.style.removeSprite(le),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(le,w={}){return this._lazyInitEmptyStyle(),this.style.setSprite(le,w,B=>{B||this._update(!0)}),this}setLight(le,w={}){return this._lazyInitEmptyStyle(),this.style.setLight(le,w),this._update(!0)}getLight(){return this.style.getLight()}setSky(le){return this._lazyInitEmptyStyle(),this.style.setSky(le),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(le,w){return this.style.setFeatureState(le,w),this._update()}removeFeatureState(le,w){return this.style.removeFeatureState(le,w),this._update()}getFeatureState(le){return this.style.getFeatureState(le)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let le=0,w=0;return this._container&&(le=this._container.clientWidth||400,w=this._container.clientHeight||300),[le,w]}_setupContainer(){let le=this._container;le.classList.add(\"maplibregl-map\");let w=this._canvasContainer=c.create(\"div\",\"maplibregl-canvas-container\",le);this._interactive&&w.classList.add(\"maplibregl-interactive\"),this._canvas=c.create(\"canvas\",\"maplibregl-canvas\",w),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");let B=this._containerDimensions(),Q=this._getClampedPixelRatio(B[0],B[1]);this._resizeCanvas(B[0],B[1],Q);let ee=this._controlContainer=c.create(\"div\",\"maplibregl-control-container\",le),se=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(qe=>{se[qe]=c.create(\"div\",`maplibregl-ctrl-${qe} `,ee)}),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(le,w,B){this._canvas.width=Math.floor(B*le),this._canvas.height=Math.floor(B*w),this._canvas.style.width=`${le}px`,this._canvas.style.height=`${w}px`}_setupPainter(){let le={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1},w=null;this._canvas.addEventListener(\"webglcontextcreationerror\",Q=>{w={requestedAttributes:le},Q&&(w.statusMessage=Q.statusMessage,w.type=Q.type)},{once:!0});let B=this._canvas.getContext(\"webgl2\",le)||this._canvas.getContext(\"webgl\",le);if(!B){let Q=\"Failed to initialize WebGL\";throw w?(w.message=Q,new Error(JSON.stringify(w))):new Error(Q)}this.painter=new Lc(B,this.transform),f.testSupport(B)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(le){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||le,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(le){return this._update(),this._renderTaskQueue.add(le)}_cancelRenderFrame(le){this._renderTaskQueue.remove(le)}_render(le){let w=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(le),this._removed)return;let B=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;let ee=this.transform.zoom,se=u.now();this.style.zoomHistory.update(ee,se);let qe=new a.z(ee,{now:se,fadeDuration:w,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),je=qe.crossFadingFactor();je===1&&je===this._crossFadingFactor||(B=!0,this._crossFadingFactor=je),this.style.update(qe)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,w,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:w,showPadding:this.showPadding}),this.fire(new a.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,a.bf.mark(a.bg.load),this.fire(new a.k(\"load\"))),this.style&&(this.style.hasTransitions()||B)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();let Q=this._sourcesDirty||this._styleDirty||this._placementDirty;return Q||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new a.k(\"idle\")),!this._loaded||this._fullyLoaded||Q||(this._fullyLoaded=!0,a.bf.mark(a.bg.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var le;this._hash&&this._hash.remove();for(let B of this._controls)B.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),typeof window!=\"undefined\"&&removeEventListener(\"online\",this._onWindowOnline,!1),g.removeThrottleControl(this._imageQueueHandle),(le=this._resizeObserver)===null||le===void 0||le.disconnect();let w=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");w!=null&&w.loseContext&&w.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),c.remove(this._canvasContainer),c.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),a.bf.clearMetrics(),this._removed=!0,this.fire(new a.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,u.frameAsync(this._frameRequest).then(le=>{a.bf.frame(le),this._frameRequest=null,this._render(le)}).catch(()=>{}))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(le){this._showTileBoundaries!==le&&(this._showTileBoundaries=le,this._update())}get showPadding(){return!!this._showPadding}set showPadding(le){this._showPadding!==le&&(this._showPadding=le,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(le){this._showCollisionBoxes!==le&&(this._showCollisionBoxes=le,le?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(le){this._showOverdrawInspector!==le&&(this._showOverdrawInspector=le,this._update())}get repaint(){return!!this._repaint}set repaint(le){this._repaint!==le&&(this._repaint=le,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(le){this._vertices=le,this._update()}get version(){return yl}getCameraTargetElevation(){return this.transform.elevation}},i.MapMouseEvent=tu,i.MapTouchEvent=vf,i.MapWheelEvent=md,i.Marker=ac,i.NavigationControl=class{constructor(le){this._updateZoomButtons=()=>{let w=this._map.getZoom(),B=w===this._map.getMaxZoom(),Q=w===this._map.getMinZoom();this._zoomInButton.disabled=B,this._zoomOutButton.disabled=Q,this._zoomInButton.setAttribute(\"aria-disabled\",B.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",Q.toString())},this._rotateCompassArrow=()=>{let w=this.options.visualizePitch?`scale(${1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)}) rotateX(${this._map.transform.pitch}deg) rotateZ(${this._map.transform.angle*(180/Math.PI)}deg)`:`rotate(${this._map.transform.angle*(180/Math.PI)}deg)`;this._compassIcon.style.transform=w},this._setButtonTitle=(w,B)=>{let Q=this._map._getUIString(`NavigationControl.${B}`);w.title=Q,w.setAttribute(\"aria-label\",Q)},this.options=a.e({},ia,le),this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",w=>w.preventDefault()),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",w=>this._map.zoomIn({},{originalEvent:w})),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",w=>this._map.zoomOut({},{originalEvent:w})),c.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",w=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:w}):this._map.resetNorth({},{originalEvent:w})}),this._compassIcon=c.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(le){return this._map=le,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ka(this._map,this._compass,this.options.visualizePitch)),this._container}onRemove(){c.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map}_createButton(le,w){let B=c.create(\"button\",le,this._container);return B.type=\"button\",B.addEventListener(\"click\",w),B}},i.Popup=class extends a.E{constructor(le){super(),this.remove=()=>(this._content&&c.remove(this._content),this._container&&(c.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new a.k(\"close\"))),this),this._onMouseUp=w=>{this._update(w.point)},this._onMouseMove=w=>{this._update(w.point)},this._onDrag=w=>{this._update(w.point)},this._update=w=>{var B;if(!this._map||!this._lngLat&&!this._trackPointer||!this._content)return;if(!this._container){if(this._container=c.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=c.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(let je of this.options.className.split(\" \"))this._container.classList.add(je);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._lngLat=this._map.transform.renderWorldCopies&&!this._trackPointer?Ko(this._lngLat,this._flatPos,this._map.transform):(B=this._lngLat)===null||B===void 0?void 0:B.wrap(),this._trackPointer&&!w)return;let Q=this._flatPos=this._pos=this._trackPointer&&w?w:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&w?w:this._map.transform.locationPoint(this._lngLat));let ee=this.options.anchor,se=yc(this.options.offset);if(!ee){let je=this._container.offsetWidth,it=this._container.offsetHeight,yt;yt=Q.y+se.bottom.ythis._map.transform.height-it?[\"bottom\"]:[],Q.xthis._map.transform.width-je/2&&yt.push(\"right\"),ee=yt.length===0?\"bottom\":yt.join(\"-\")}let qe=Q.add(se[ee]);this.options.subpixelPositioning||(qe=qe.round()),c.setTransform(this._container,`${iu[ee]} translate(${qe.x}px,${qe.y}px)`),Ru(this._container,ee,\"popup\")},this._onClose=()=>{this.remove()},this.options=a.e(Object.create(eo),le)}addTo(le){return this._map&&this.remove(),this._map=le,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new a.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(le){return this._lngLat=a.N.convert(le),this._pos=null,this._flatPos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(le){return this.setDOMContent(document.createTextNode(le))}setHTML(le){let w=document.createDocumentFragment(),B=document.createElement(\"body\"),Q;for(B.innerHTML=le;Q=B.firstChild,Q;)w.appendChild(Q);return this.setDOMContent(w)}getMaxWidth(){var le;return(le=this._container)===null||le===void 0?void 0:le.style.maxWidth}setMaxWidth(le){return this.options.maxWidth=le,this._update(),this}setDOMContent(le){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=c.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(le),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(le){return this._container&&this._container.classList.add(le),this}removeClassName(le){return this._container&&this._container.classList.remove(le),this}setOffset(le){return this.options.offset=le,this._update(),this}toggleClassName(le){if(this._container)return this._container.classList.toggle(le)}setSubpixelPositioning(le){this.options.subpixelPositioning=le}_createCloseButton(){this.options.closeButton&&(this._closeButton=c.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;let le=this._container.querySelector(Jc);le&&le.focus()}},i.RasterDEMTileSource=qt,i.RasterTileSource=ct,i.ScaleControl=class{constructor(le){this._onMove=()=>{Dc(this._map,this._container,this.options)},this.setUnit=w=>{this.options.unit=w,Dc(this._map,this._container,this.options)},this.options=Object.assign(Object.assign({},Du),le)}getDefaultPosition(){return\"bottom-left\"}onAdd(le){return this._map=le,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-scale\",le.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container}onRemove(){c.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0}},i.ScrollZoomHandler=Ur,i.Style=Ha,i.TerrainControl=class{constructor(le){this._toggleTerrain=()=>{this._map.getTerrain()?this._map.setTerrain(null):this._map.setTerrain(this.options),this._updateTerrainIcon()},this._updateTerrainIcon=()=>{this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain\"),this._terrainButton.classList.remove(\"maplibregl-ctrl-terrain-enabled\"),this._map.terrain?(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain-enabled\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Disable\")):(this._terrainButton.classList.add(\"maplibregl-ctrl-terrain\"),this._terrainButton.title=this._map._getUIString(\"TerrainControl.Enable\"))},this.options=le}onAdd(le){return this._map=le,this._container=c.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._terrainButton=c.create(\"button\",\"maplibregl-ctrl-terrain\",this._container),c.create(\"span\",\"maplibregl-ctrl-icon\",this._terrainButton).setAttribute(\"aria-hidden\",\"true\"),this._terrainButton.type=\"button\",this._terrainButton.addEventListener(\"click\",this._toggleTerrain),this._updateTerrainIcon(),this._map.on(\"terrain\",this._updateTerrainIcon),this._container}onRemove(){c.remove(this._container),this._map.off(\"terrain\",this._updateTerrainIcon),this._map=void 0}},i.TwoFingersTouchPitchHandler=gf,i.TwoFingersTouchRotateHandler=Yc,i.TwoFingersTouchZoomHandler=ru,i.TwoFingersTouchZoomRotateHandler=Ti,i.VectorTileSource=nt,i.VideoSource=kt,i.addSourceType=(le,w)=>a._(void 0,void 0,void 0,function*(){if(xr(le))throw new Error(`A source type called \"${le}\" already exists.`);((B,Q)=>{Yt[B]=Q})(le,w)}),i.clearPrewarmedResources=function(){let le=ge;le&&(le.isPreloaded()&&le.numActive()===1?(le.release(_e),ge=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},i.getMaxParallelImageRequests=function(){return a.a.MAX_PARALLEL_IMAGE_REQUESTS},i.getRTLTextPluginStatus=function(){return bt().getRTLTextPluginStatus()},i.getVersion=function(){return _c},i.getWorkerCount=function(){return Me.workerCount},i.getWorkerUrl=function(){return a.a.WORKER_URL},i.importScriptInWorkers=function(le){return Ae().broadcast(\"IS\",le)},i.prewarm=function(){Te().acquire(_e)},i.setMaxParallelImageRequests=function(le){a.a.MAX_PARALLEL_IMAGE_REQUESTS=le},i.setRTLTextPlugin=function(le,w){return bt().setRTLTextPlugin(le,w)},i.setWorkerCount=function(le){Me.workerCount=le},i.setWorkerUrl=function(le){a.a.WORKER_URL=le}});var n=e;return n})});var VHe=ye((R1r,UHe)=>{\"use strict\";var iw=Mr(),sjt=Ll().sanitizeHTML,ljt=uJ(),OHe=bx();function BHe(e,t){this.subplot=e,this.uid=e.uid+\"-\"+t,this.index=t,this.idSource=\"source-\"+this.uid,this.idLayer=OHe.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var ag=BHe.prototype;ag.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=i7(t)};ag.needsNewImage=function(e){var t=this.subplot.map;return t.getSource(this.idSource)&&this.sourceType===\"image\"&&e.sourcetype===\"image\"&&(this.source!==e.source||JSON.stringify(this.coordinates)!==JSON.stringify(e.coordinates))};ag.needsNewSource=function(e){return this.sourceType!==e.sourcetype||JSON.stringify(this.source)!==JSON.stringify(e.source)||this.layerType!==e.type};ag.needsNewLayer=function(e){return this.layerType!==e.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]};ag.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]};ag.updateImage=function(e){var t=this.subplot.map;t.getSource(this.idSource).updateImage({url:e.source,coordinates:e.coordinates});var r=this.findFollowingMapLayerId(this.lookupBelow());r!==null&&this.subplot.map.moveLayer(this.idLayer,r)};ag.updateSource=function(e){var t=this.subplot.map;if(t.getSource(this.idSource)&&t.removeSource(this.idSource),this.sourceType=e.sourcetype,this.source=e.source,!!i7(e)){var r=ujt(e);t.addSource(this.idSource,r)}};ag.findFollowingMapLayerId=function(e){if(e===\"traces\")for(var t=this.subplot.getMapLayers(),r=0;r0){for(var r=0;r0}function NHe(e){var t={},r={};switch(e.type){case\"circle\":iw.extendFlat(r,{\"circle-radius\":e.circle.radius,\"circle-color\":e.color,\"circle-opacity\":e.opacity});break;case\"line\":iw.extendFlat(r,{\"line-width\":e.line.width,\"line-color\":e.color,\"line-opacity\":e.opacity,\"line-dasharray\":e.line.dash});break;case\"fill\":iw.extendFlat(r,{\"fill-color\":e.color,\"fill-outline-color\":e.fill.outlinecolor,\"fill-opacity\":e.opacity});break;case\"symbol\":var n=e.symbol,i=ljt(n.textposition,n.iconsize);iw.extendFlat(t,{\"icon-image\":n.icon+\"-15\",\"icon-size\":n.iconsize/10,\"text-field\":n.text,\"text-size\":n.textfont.size,\"text-anchor\":i.anchor,\"text-offset\":i.offset,\"symbol-placement\":n.placement}),iw.extendFlat(r,{\"icon-color\":e.color,\"text-color\":n.textfont.color,\"text-opacity\":e.opacity});break;case\"raster\":iw.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":e.opacity});break}return{layout:t,paint:r}}function ujt(e){var t=e.sourcetype,r=e.source,n={type:t},i;return t===\"geojson\"?i=\"data\":t===\"vector\"?i=typeof r==\"string\"?\"url\":\"tiles\":t===\"raster\"?(i=\"tiles\",n.tileSize=256):t===\"image\"&&(i=\"url\",n.coordinates=e.coordinates),n[i]=r,e.sourceattribution&&(n.attribution=sjt(e.sourceattribution)),n}UHe.exports=function(t,r,n){var i=new BHe(t,r);return i.update(n),i}});var KHe=ye((D1r,YHe)=>{\"use strict\";var pJ=qHe(),gJ=Mr(),jHe=ix(),HHe=ba(),cjt=Qa(),fjt=gv(),n7=Nc(),WHe=Sg(),hjt=WHe.drawMode,djt=WHe.selectMode,vjt=wf().prepSelect,pjt=wf().clearOutline,gjt=wf().clearSelectionsCache,mjt=wf().selectOnClick,nw=bx(),yjt=VHe();function ZHe(e,t){this.id=t,this.gd=e;var r=e._fullLayout,n=e._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var Sh=ZHe.prototype;Sh.plot=function(e,t,r){var n=this,i;n.map?i=new Promise(function(a,o){n.updateMap(e,t,a,o)}):i=new Promise(function(a,o){n.createMap(e,t,a,o)}),r.push(i)};Sh.createMap=function(e,t,r,n){var i=this,a=t[i.id],o=i.styleObj=XHe(a.style),s=a.bounds,l=s?[[s.west,s.south],[s.east,s.north]]:null,u=i.map=new pJ.Map({container:i.div,style:o.style,center:mJ(a.center),zoom:a.zoom,bearing:a.bearing,pitch:a.pitch,maxBounds:l,interactive:!i.isStatic,preserveDrawingBuffer:i.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new pJ.AttributionControl({compact:!0})),c={};u.on(\"styleimagemissing\",function(h){var d=h.id;if(!c[d]&&d.includes(\"-15\")){c[d]=!0;var v=new Image(15,15);v.onload=function(){u.addImage(d,v)},v.crossOrigin=\"Anonymous\",v.src=\"https://unpkg.com/maki@2.1.0/icons/\"+d+\".svg\"}}),u.setTransformRequest(function(h){return h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\"),h=h.replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\"),{url:h}}),u._canvas.style.left=\"0px\",u._canvas.style.top=\"0px\",i.rejectOnError(n),i.isStatic||i.initFx(e,t);var f=[];f.push(new Promise(function(h){u.once(\"load\",h)})),f=f.concat(jHe.fetchTraceGeoData(e)),Promise.all(f).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Sh.updateMap=function(e,t,r,n){var i=this,a=i.map,o=t[this.id];i.rejectOnError(n);var s=[],l=XHe(o.style);JSON.stringify(i.styleObj)!==JSON.stringify(l)&&(i.styleObj=l,a.setStyle(l.style),i.traceHash={},s.push(new Promise(function(u){a.once(\"styledata\",u)}))),s=s.concat(jHe.fetchTraceGeoData(e)),Promise.all(s).then(function(){i.fillBelowLookup(e,t),i.updateData(e),i.updateLayout(t),i.resolveOnRender(r)}).catch(n)};Sh.fillBelowLookup=function(e,t){var r=t[this.id],n=r.layers,i,a,o=this.belowLookup={},s=!1;for(i=0;i1)for(i=0;i-1&&mjt(l.originalEvent,n,[r.xaxis],[r.yaxis],r.id,s),u.indexOf(\"event\")>-1&&n7.click(n,l.originalEvent)}}};Sh.updateFx=function(e){var t=this,r=t.map,n=t.gd;if(t.isStatic)return;function i(l){var u=t.map.unproject(l);return[u.lng,u.lat]}var a=e.dragmode,o;o=function(l,u){if(u.isRect){var c=l.range={};c[t.id]=[i([u.xmin,u.ymin]),i([u.xmax,u.ymax])]}else{var f=l.lassoPoints={};f[t.id]=u.map(i)}};var s=t.dragOptions;t.dragOptions=gJ.extendDeep(s||{},{dragmode:e.dragmode,element:t.div,gd:n,plotinfo:{id:t.id,domain:e[t.id].domain,xaxis:t.xaxis,yaxis:t.yaxis,fillRangeItems:o},xaxes:[t.xaxis],yaxes:[t.yaxis],subplot:t.id}),r.off(\"click\",t.onClickInPanHandler),djt(a)||hjt(a)?(r.dragPan.disable(),r.on(\"zoomstart\",t.clearOutline),t.dragOptions.prepFn=function(l,u,c){vjt(l,u,c,t.dragOptions,a)},fjt.init(t.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",t.clearOutline),t.div.onmousedown=null,t.div.ontouchstart=null,t.div.removeEventListener(\"touchstart\",t.div._ontouchstart),t.onClickInPanHandler=t.onClickInPanFn(t.dragOptions),r.on(\"click\",t.onClickInPanHandler))};Sh.updateFramework=function(e){var t=e[this.id].domain,r=e._size,n=this.div.style;n.width=r.w*(t.x[1]-t.x[0])+\"px\",n.height=r.h*(t.y[1]-t.y[0])+\"px\",n.left=r.l+t.x[0]*r.w+\"px\",n.top=r.t+(1-t.y[1])*r.h+\"px\",this.xaxis._offset=r.l+t.x[0]*r.w,this.xaxis._length=r.w*(t.x[1]-t.x[0]),this.yaxis._offset=r.t+(1-t.y[1])*r.h,this.yaxis._length=r.h*(t.y[1]-t.y[0])};Sh.updateLayers=function(e){var t=e[this.id],r=t.layers,n=this.layerList,i;if(r.length!==n.length){for(i=0;i{\"use strict\";var yJ=Mr(),xjt=k_(),bjt=Zd(),JHe=Fk();$He.exports=function(t,r,n){xjt(t,r,n,{type:\"map\",attributes:JHe,handleDefaults:wjt,partition:\"y\"})};function wjt(e,t,r){r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\");var n=r(\"bounds.west\"),i=r(\"bounds.east\"),a=r(\"bounds.south\"),o=r(\"bounds.north\");(n===void 0||i===void 0||a===void 0||o===void 0)&&delete t.bounds,bjt(e,t,{name:\"layers\",handleItemDefaults:Tjt}),t._input=e}function Tjt(e,t){function r(l,u){return yJ.coerce(e,t,JHe.layers,l,u)}var n=r(\"visible\");if(n){var i=r(\"sourcetype\"),a=i===\"raster\"||i===\"image\";r(\"source\"),r(\"sourceattribution\"),i===\"vector\"&&r(\"sourcelayer\"),i===\"image\"&&r(\"coordinates\");var o;a&&(o=\"raster\");var s=r(\"type\",o);a&&s!==\"raster\"&&(s=t.type=\"raster\",yJ.log(\"Source types *raster* and *image* must drawn *raster* layer type.\")),r(\"below\"),r(\"color\"),r(\"opacity\"),r(\"minzoom\"),r(\"maxzoom\"),s===\"circle\"&&r(\"circle.radius\"),s===\"line\"&&(r(\"line.width\"),r(\"line.dash\")),s===\"fill\"&&r(\"fill.outlinecolor\"),s===\"symbol\"&&(r(\"symbol.icon\"),r(\"symbol.iconsize\"),r(\"symbol.text\"),yJ.coerceFont(r,\"symbol.textfont\",void 0,{noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}),r(\"symbol.textposition\"),r(\"symbol.placement\"))}}});var o7=ye(l0=>{\"use strict\";var a7=Mr(),eGe=a7.strTranslate,Ajt=a7.strScale,Sjt=kd().getSubplotCalcData,Mjt=Zp(),Ejt=xa(),tGe=ao(),kjt=Ll(),Cjt=KHe(),wx=\"map\";l0.name=wx;l0.attr=\"subplot\";l0.idRoot=wx;l0.idRegex=l0.attrRegex=a7.counterRegex(wx);l0.attributes={subplot:{valType:\"subplotid\",dflt:\"map\",editType:\"calc\"}};l0.layoutAttributes=Fk();l0.supplyLayoutDefaults=QHe();l0.plot=function(t){for(var r=t._fullLayout,n=t.calcdata,i=r._subplots[wx],a=0;ax/2){var b=f.split(\"|\").join(\"
\");d.text(b).attr(\"data-unformatted\",b).call(kjt.convertToTspans,e),v=tGe.bBox(d.node())}d.attr(\"transform\",eGe(-3,-v.height+8)),h.insert(\"rect\",\".static-attribution\").attr({x:-v.width-6,y:-v.height-3,width:v.width+6,height:v.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var g=1;v.width+6>x&&(g=x/(v.width+6));var E=[n.l+n.w*o.x[1],n.t+n.h*(1-o.y[0])];h.attr(\"transform\",eGe(E[0],E[1])+Ajt(g))}};l0.updateFx=function(e){for(var t=e._fullLayout,r=t._subplots[wx],n=0;n{\"use strict\";rGe.exports={attributes:JF(),supplyDefaults:pHe(),colorbar:Kd(),formatLabels:lJ(),calc:lz(),plot:CHe(),hoverPoints:r7().hoverPoints,eventData:RHe(),selectPoints:zHe(),styleOnSelect:function(e,t){if(t){var r=t[0].trace;r._glTrace.update(t)}},moduleType:\"trace\",name:\"scattermap\",basePlotModule:o7(),categories:[\"map\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}});var aGe=ye((O1r,nGe)=>{\"use strict\";nGe.exports=iGe()});var _J=ye((B1r,oGe)=>{\"use strict\";var d1=J5(),Ljt=Kl(),Pjt=Wo().hovertemplateAttrs,Ijt=vl(),Tx=no().extendFlat;oGe.exports=Tx({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:Tx({},d1.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:d1.text,hovertext:d1.hovertext,marker:{line:{color:Tx({},d1.marker.line.color,{editType:\"plot\"}),width:Tx({},d1.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:Tx({},d1.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:Tx({},d1.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:Tx({},d1.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:d1.hoverinfo,hovertemplate:Pjt({},{keys:[\"properties\"]}),showlegend:Tx({},Ijt.showlegend,{dflt:!1})},Ljt(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))});var lGe=ye((N1r,sGe)=>{\"use strict\";var Nk=Mr(),Rjt=Uh(),Djt=_J();sGe.exports=function(t,r,n,i){function a(c,f){return Nk.coerce(t,r,Djt,c,f)}var o=a(\"locations\"),s=a(\"z\"),l=a(\"geojson\");if(!Nk.isArrayOrTypedArray(o)||!o.length||!Nk.isArrayOrTypedArray(s)||!s.length||!(typeof l==\"string\"&&l!==\"\"||Nk.isPlainObject(l))){r.visible=!1;return}a(\"featureidkey\"),r._length=Math.min(o.length,s.length),a(\"below\"),a(\"text\"),a(\"hovertext\"),a(\"hovertemplate\");var u=a(\"marker.line.width\");u&&a(\"marker.line.color\"),a(\"marker.opacity\"),Rjt(t,r,i,a,{prefix:\"\",cLetter:\"z\"}),Nk.coerceSelectionMarkerOpacity(r,a)}});var xJ=ye((U1r,fGe)=>{\"use strict\";var zjt=uo(),v1=Mr(),Fjt=Mu(),qjt=ao(),Ojt=tx().makeBlank,uGe=ix();function Bjt(e){var t=e[0].trace,r=t.visible===!0&&t._length!==0,n={layout:{visibility:\"none\"},paint:{}},i={layout:{visibility:\"none\"},paint:{}},a=t._opts={fill:n,line:i,geojson:Ojt()};if(!r)return a;var o=uGe.extractTraceFeature(e);if(!o)return a;var s=Fjt.makeColorScaleFuncFromTrace(t),l=t.marker,u=l.line||{},c;v1.isArrayOrTypedArray(l.opacity)&&(c=function(E){var k=E.mo;return zjt(k)?+v1.constrain(k,0,1):0});var f;v1.isArrayOrTypedArray(u.color)&&(f=function(E){return E.mlc});var h;v1.isArrayOrTypedArray(u.width)&&(h=function(E){return E.mlw});for(var d=0;d{\"use strict\";var dGe=xJ().convert,Njt=xJ().convertOnSelect,hGe=bx().traceLayerPrefix;function vGe(e,t){this.type=\"choroplethmap\",this.subplot=e,this.uid=t,this.sourceId=\"source-\"+t,this.layerList=[[\"fill\",hGe+t+\"-fill\"],[\"line\",hGe+t+\"-line\"]],this.below=null}var EA=vGe.prototype;EA.update=function(e){this._update(dGe(e)),e[0].trace._glTrace=this};EA.updateOnSelect=function(e){this._update(Njt(e))};EA._update=function(e){var t=this.subplot,r=this.layerList,n=t.belowLookup[\"trace-\"+this.uid];t.map.getSource(this.sourceId).setData(e.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(e,n),this.below=n);for(var 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i=LA.behavior.drag().origin(function(a){return{x:a.node.x0+a.visibleWidth/2,y:a.node.y0+a.visibleHeight/2}}).on(\"dragstart\",function(a){if(a.arrangement!==\"fixed\"&&(p1.ensureSingle(n._fullLayout._infolayer,\"g\",\"dragcover\",function(s){n._fullLayout._dragCover=s}),p1.raiseToTop(this),a.interactionState.dragInProgress=a.node,Cje(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),a.arrangement===\"snap\")){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):PWt(e,o,a,n),IWt(e,t,a,o,n)}}).on(\"drag\",function(a){if(a.arrangement!==\"fixed\"){var o=LA.event.x,s=LA.event.y;a.arrangement===\"snap\"?(a.node.x0=o-a.visibleWidth/2,a.node.x1=o+a.visibleWidth/2,a.node.y0=s-a.visibleHeight/2,a.node.y1=s+a.visibleHeight/2):(a.arrangement===\"freeform\"&&(a.node.x0=o-a.visibleWidth/2,a.node.x1=o+a.visibleWidth/2),s=Math.max(0,Math.min(a.size-a.visibleHeight/2,s)),a.node.y0=s-a.visibleHeight/2,a.node.y1=s+a.visibleHeight/2),Cje(a.node),a.arrangement!==\"snap\"&&(a.sankey.update(a.graph),Ije(e.filter(Dje(a)),t))}}).on(\"dragend\",function(a){if(a.arrangement!==\"fixed\"){a.interactionState.dragInProgress=!1;for(var o=0;o0)window.requestAnimationFrame(a);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,Rje(r,i)}})}function RWt(e,t,r,n){return function(){for(var a=0,o=0;o0&&n.forceLayouts[t].alpha(0)}}function Rje(e,t){for(var r=[],n=[],i=0;i{\"use strict\";var Zv=xa(),qJ=Mr(),b7=qJ.numberFormat,qWt=Fje(),IA=Nc(),OWt=va(),Ax=LJ().cn,Gk=qJ._;function qje(e){return e!==\"\"}function RA(e,t){return 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Wje=ye(ow=>{\"use strict\";var BWt=Bu().overrideAll,NWt=kd().getModuleCalcData,UWt=OJ(),VWt=B1(),HWt=Tg(),GWt=gv(),jWt=wf().prepSelect,BJ=Mr(),WWt=ba(),w7=\"sankey\";ow.name=w7;ow.baseLayoutAttrOverrides=BWt({hoverlabel:VWt.hoverlabel},\"plot\",\"nested\");ow.plot=function(e){var t=NWt(e.calcdata,w7)[0];UWt(e,t),ow.updateFx(e)};ow.clean=function(e,t,r,n){var i=n._has&&n._has(w7),a=t._has&&t._has(w7);i&&!a&&(n._paperdiv.selectAll(\".sankey\").remove(),n._paperdiv.selectAll(\".bgsankey\").remove())};ow.updateFx=function(e){for(var t=0;t{\"use strict\";Zje.exports=function(t,r){for(var n=t.cd,i=[],a=n[0].trace,o=a._sankey.graph.nodes,s=0;s{\"use strict\";Yje.exports={attributes:EJ(),supplyDefaults:QGe(),calc:nje(),plot:OJ(),moduleType:\"trace\",name:\"sankey\",basePlotModule:Wje(),selectPoints:Xje(),categories:[\"noOpacity\"],meta:{}}});var $je=ye((h_r,Jje)=>{\"use strict\";Jje.exports=Kje()});var eWe=ye(DA=>{\"use strict\";var Qje=Xu();DA.name=\"indicator\";DA.plot=function(e,t,r,n){Qje.plotBasePlot(DA.name,e,t,r,n)};DA.clean=function(e,t,r,n){Qje.cleanBasePlot(DA.name,e,t,r,n)}});var UJ=ye((v_r,oWe)=>{\"use strict\";var Sx=no().extendFlat,rWe=no().extendDeep,XWt=Bu().overrideAll,iWe=Su(),nWe=dh(),YWt=Ju().attributes,Sf=Cd(),KWt=Vs().templatedArray,T7=HT(),tWe=Oc().descriptionOnlyNumbers,NJ=iWe({editType:\"plot\",colorEditType:\"plot\"}),jk={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:nWe.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},aWe={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},JWt=KWt(\"step\",rWe({},jk,{range:aWe}));oWe.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:YWt({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:Sx({},NJ,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\",description:tWe(\"value\")},font:Sx({},NJ,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\",description:tWe(\"value\")},increasing:{symbol:{valType:\"string\",dflt:T7.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:T7.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:T7.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:T7.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:Sx({},NJ,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:rWe({},jk,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:nWe.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:XWt({range:aWe,visible:Sx({},Sf.visible,{dflt:!0}),tickmode:Sf.minor.tickmode,nticks:Sf.nticks,tick0:Sf.tick0,dtick:Sf.dtick,tickvals:Sf.tickvals,ticktext:Sf.ticktext,ticks:Sx({},Sf.ticks,{dflt:\"outside\"}),ticklen:Sf.ticklen,tickwidth:Sf.tickwidth,tickcolor:Sf.tickcolor,ticklabelstep:Sf.ticklabelstep,showticklabels:Sf.showticklabels,labelalias:Sf.labelalias,tickfont:iWe({}),tickangle:Sf.tickangle,tickformat:Sf.tickformat,tickformatstops:Sf.tickformatstops,tickprefix:Sf.tickprefix,showtickprefix:Sf.showtickprefix,ticksuffix:Sf.ticksuffix,showticksuffix:Sf.showticksuffix,separatethousands:Sf.separatethousands,exponentformat:Sf.exponentformat,minexponent:Sf.minexponent,showexponent:Sf.showexponent,editType:\"plot\"},\"plot\"),steps:JWt,threshold:{line:{color:Sx({},jk.line.color,{}),width:Sx({},jk.line.width,{dflt:1}),editType:\"plot\"},thickness:Sx({},jk.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}});var VJ=ye((p_r,sWe)=>{\"use strict\";sWe.exports={defaultNumberFontSize:80,bulletNumberDomainSize:.25,bulletPadding:.025,innerRadius:.75,valueThickness:.5,titlePadding:5,horizontalPadding:10}});var cWe=ye((g_r,uWe)=>{\"use strict\";var ey=Mr(),S7=UJ(),$Wt=Ju().defaults,lWe=Vs(),QWt=Zd(),A7=VJ(),eZt=xb(),tZt=T3(),rZt=e_(),iZt=t_();function nZt(e,t,r,n){function i(_,C){return ey.coerce(e,t,S7,_,C)}$Wt(t,n,i),i(\"mode\"),t._hasNumber=t.mode.indexOf(\"number\")!==-1,t._hasDelta=t.mode.indexOf(\"delta\")!==-1,t._hasGauge=t.mode.indexOf(\"gauge\")!==-1;var a=i(\"value\");t._range=[0,typeof a==\"number\"?1.5*a:1];var o=new Array(2),s;if(t._hasNumber){i(\"number.valueformat\");var l=ey.extendFlat({},n.font);l.size=void 0,ey.coerceFont(i,\"number.font\",l),t.number.font.size===void 0&&(t.number.font.size=A7.defaultNumberFontSize,o[0]=!0),i(\"number.prefix\"),i(\"number.suffix\"),s=t.number.font.size}var u;if(t._hasDelta){var c=ey.extendFlat({},n.font);c.size=void 0,ey.coerceFont(i,\"delta.font\",c),t.delta.font.size===void 0&&(t.delta.font.size=(t._hasNumber?.5:1)*(s||A7.defaultNumberFontSize),o[1]=!0),i(\"delta.reference\",t.value),i(\"delta.relative\"),i(\"delta.valueformat\",t.delta.relative?\"2%\":\"\"),i(\"delta.increasing.symbol\"),i(\"delta.increasing.color\"),i(\"delta.decreasing.symbol\"),i(\"delta.decreasing.color\"),i(\"delta.position\"),i(\"delta.prefix\"),i(\"delta.suffix\"),u=t.delta.font.size}t._scaleNumbers=(!t._hasNumber||o[0])&&(!t._hasDelta||o[1])||!1;var f=ey.extendFlat({},n.font);f.size=.25*(s||u||A7.defaultNumberFontSize),ey.coerceFont(i,\"title.font\",f),i(\"title.text\");var h,d,v,x;function b(_,C){return ey.coerce(h,d,S7.gauge,_,C)}function g(_,C){return ey.coerce(v,x,S7.gauge.axis,_,C)}if(t._hasGauge){h=e.gauge,h||(h={}),d=lWe.newContainer(t,\"gauge\"),b(\"shape\");var E=t._isBullet=t.gauge.shape===\"bullet\";E||i(\"title.align\",\"center\");var k=t._isAngular=t.gauge.shape===\"angular\";k||i(\"align\",\"center\"),b(\"bgcolor\",n.paper_bgcolor),b(\"borderwidth\"),b(\"bordercolor\"),b(\"bar.color\"),b(\"bar.line.color\"),b(\"bar.line.width\");var A=A7.valueThickness*(t.gauge.shape===\"bullet\"?.5:1);b(\"bar.thickness\",A),QWt(h,d,{name:\"steps\",handleItemDefaults:aZt}),b(\"threshold.value\"),b(\"threshold.thickness\"),b(\"threshold.line.width\"),b(\"threshold.line.color\"),v={},h&&(v=h.axis||{}),x=lWe.newContainer(d,\"axis\"),g(\"visible\"),t._range=g(\"range\",t._range);var L={font:n.font,noAutotickangles:!0,outerTicks:!0,noTicklabelshift:!0,noTicklabelstandoff:!0};eZt(v,x,g,\"linear\"),iZt(v,x,g,\"linear\",L),rZt(v,x,g,\"linear\",L),tZt(v,x,g,L)}else i(\"title.align\",\"center\"),i(\"align\",\"center\"),t._isAngular=t._isBullet=!1;t._length=null}function aZt(e,t){function r(n,i){return ey.coerce(e,t,S7.gauge.steps,n,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}uWe.exports={supplyDefaults:nZt}});var hWe=ye((m_r,fWe)=>{\"use strict\";function oZt(e,t){var r=[],n=t.value;typeof t._lastValue!=\"number\"&&(t._lastValue=t.value);var i=t._lastValue,a=i;return t._hasDelta&&typeof t.delta.reference==\"number\"&&(a=t.delta.reference),r[0]={y:n,lastY:i,delta:n-a,relativeDelta:(n-a)/a},r}fWe.exports={calc:oZt}});var yWe=ye((y_r,mWe)=>{\"use strict\";var fw=xa(),sZt=(R2(),ab(I2)).interpolate,dWe=(R2(),ab(I2)).interpolateNumber,Mx=Mr(),lZt=Mx.strScale,Zk=Mx.strTranslate,uZt=Mx.rad2deg,cZt=Nh().MID_SHIFT,cw=ao(),sw=VJ(),E7=Ll(),av=Qa(),fZt=JM(),hZt=rI(),dZt=Cd(),zA=va(),HJ={left:\"start\",center:\"middle\",right:\"end\"},lw={left:0,center:.5,right:1},vWe=/[yzafpnµmkMGTPEZY]/;function Xk(e){return e&&e.duration>0}mWe.exports=function(t,r,n,i){var a=t._fullLayout,o;Xk(n)&&i&&(o=i()),Mx.makeTraceGroups(a._indicatorlayer,r,\"trace\").each(function(s){var l=s[0],u=l.trace,c=fw.select(this),f=u._hasGauge,h=u._isAngular,d=u._isBullet,v=u.domain,x={w:a._size.w*(v.x[1]-v.x[0]),h:a._size.h*(v.y[1]-v.y[0]),l:a._size.l+a._size.w*v.x[0],r:a._size.r+a._size.w*(1-v.x[1]),t:a._size.t+a._size.h*(1-v.y[1]),b:a._size.b+a._size.h*v.y[0]},b=x.l+x.w/2,g=x.t+x.h/2,E=Math.min(x.w/2,x.h),k=sw.innerRadius*E,A,L,_,C=u.align||\"center\";if(L=g,!f)A=x.l+lw[C]*x.w,_=function(G){return pWe(G,x.w,x.h)};else if(h&&(A=b,L=g+E/2,_=function(G){return yZt(G,.9*k)}),d){var M=sw.bulletPadding,p=1-sw.bulletNumberDomainSize+M;A=x.l+(p+(1-p)*lw[C])*x.w,_=function(G){return pWe(G,(sw.bulletNumberDomainSize-M)*x.w,x.h)}}gZt(t,c,s,{numbersX:A,numbersY:L,numbersScaler:_,transitionOpts:n,onComplete:o});var P,T;f&&(P={range:u.gauge.axis.range,color:u.gauge.bgcolor,line:{color:u.gauge.bordercolor,width:0},thickness:1},T={range:u.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:u.gauge.bordercolor,width:u.gauge.borderwidth},thickness:1});var F=c.selectAll(\"g.angular\").data(h?s:[]);F.exit().remove();var q=c.selectAll(\"g.angularaxis\").data(h?s:[]);q.exit().remove(),h&&pZt(t,c,s,{radius:E,innerRadius:k,gauge:F,layer:q,size:x,gaugeBg:P,gaugeOutline:T,transitionOpts:n,onComplete:o});var V=c.selectAll(\"g.bullet\").data(d?s:[]);V.exit().remove();var H=c.selectAll(\"g.bulletaxis\").data(d?s:[]);H.exit().remove(),d&&vZt(t,c,s,{gauge:V,layer:H,size:x,gaugeBg:P,gaugeOutline:T,transitionOpts:n,onComplete:o});var X=c.selectAll(\"text.title\").data(s);X.exit().remove(),X.enter().append(\"text\").classed(\"title\",!0),X.attr(\"text-anchor\",function(){return d?HJ.right:HJ[u.title.align]}).text(u.title.text).call(cw.font,u.title.font).call(E7.convertToTspans,t),X.attr(\"transform\",function(){var G=x.l+x.w*lw[u.title.align],N,W=sw.titlePadding,re=cw.bBox(X.node());if(f){if(h)if(u.gauge.axis.visible){var ae=cw.bBox(q.node());N=ae.top-W-re.bottom}else N=x.t+x.h/2-E/2-re.bottom-W;d&&(N=L-(re.top+re.bottom)/2,G=x.l-sw.bulletPadding*x.w)}else N=u._numbersTop-W-re.bottom;return Zk(G,N)})})};function vZt(e,t,r,n){var i=r[0].trace,a=n.gauge,o=n.layer,s=n.gaugeBg,l=n.gaugeOutline,u=n.size,c=i.domain,f=n.transitionOpts,h=n.onComplete,d,v,x,b,g;a.enter().append(\"g\").classed(\"bullet\",!0),a.attr(\"transform\",Zk(u.l,u.t)),o.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),o.selectAll(\"g.xbulletaxistick,path,text\").remove();var E=u.h,k=i.gauge.bar.thickness*E,A=c.x[0],L=c.x[0]+(c.x[1]-c.x[0])*(i._hasNumber||i._hasDelta?1-sw.bulletNumberDomainSize:1);d=Wk(e,i.gauge.axis),d._id=\"xbulletaxis\",d.domain=[A,L],d.setScale(),v=av.calcTicks(d),x=av.makeTransTickFn(d),b=av.getTickSigns(d)[2],g=u.t+u.h,d.visible&&(av.drawTicks(e,d,{vals:d.ticks===\"inside\"?av.clipEnds(d,v):v,layer:o,path:av.makeTickPath(d,g,b),transFn:x}),av.drawLabels(e,d,{vals:v,layer:o,transFn:x,labelFns:av.makeLabelFns(d,g)}));function _(q){q.attr(\"width\",function(V){return Math.max(0,d.c2p(V.range[1])-d.c2p(V.range[0]))}).attr(\"x\",function(V){return d.c2p(V.range[0])}).attr(\"y\",function(V){return .5*(1-V.thickness)*E}).attr(\"height\",function(V){return V.thickness*E})}var C=[s].concat(i.gauge.steps),M=a.selectAll(\"g.bg-bullet\").data(C);M.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),M.select(\"rect\").call(_).call(uw),M.exit().remove();var p=a.selectAll(\"g.value-bullet\").data([i.gauge.bar]);p.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),p.select(\"rect\").attr(\"height\",k).attr(\"y\",(E-k)/2).call(uw),Xk(f)?p.select(\"rect\").transition().duration(f.duration).ease(f.easing).each(\"end\",function(){h&&h()}).each(\"interrupt\",function(){h&&h()}).attr(\"width\",Math.max(0,d.c2p(Math.min(i.gauge.axis.range[1],r[0].y)))):p.select(\"rect\").attr(\"width\",typeof r[0].y==\"number\"?Math.max(0,d.c2p(Math.min(i.gauge.axis.range[1],r[0].y))):0),p.exit().remove();var P=r.filter(function(){return i.gauge.threshold.value||i.gauge.threshold.value===0}),T=a.selectAll(\"g.threshold-bullet\").data(P);T.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),T.select(\"line\").attr(\"x1\",d.c2p(i.gauge.threshold.value)).attr(\"x2\",d.c2p(i.gauge.threshold.value)).attr(\"y1\",(1-i.gauge.threshold.thickness)/2*E).attr(\"y2\",(1-(1-i.gauge.threshold.thickness)/2)*E).call(zA.stroke,i.gauge.threshold.line.color).style(\"stroke-width\",i.gauge.threshold.line.width),T.exit().remove();var F=a.selectAll(\"g.gauge-outline\").data([l]);F.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),F.select(\"rect\").call(_).call(uw),F.exit().remove()}function pZt(e,t,r,n){var i=r[0].trace,a=n.size,o=n.radius,s=n.innerRadius,l=n.gaugeBg,u=n.gaugeOutline,c=[a.l+a.w/2,a.t+a.h/2+o/2],f=n.gauge,h=n.layer,d=n.transitionOpts,v=n.onComplete,x=Math.PI/2;function b(_e){var Me=i.gauge.axis.range[0],ke=i.gauge.axis.range[1],ge=(_e-Me)/(ke-Me)*Math.PI-x;return ge<-x?-x:ge>x?x:ge}function g(_e){return fw.svg.arc().innerRadius((s+o)/2-_e/2*(o-s)).outerRadius((s+o)/2+_e/2*(o-s)).startAngle(-x)}function E(_e){_e.attr(\"d\",function(Me){return g(Me.thickness).startAngle(b(Me.range[0])).endAngle(b(Me.range[1]))()})}var k,A,L,_;f.enter().append(\"g\").classed(\"angular\",!0),f.attr(\"transform\",Zk(c[0],c[1])),h.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),h.selectAll(\"g.xangularaxistick,path,text\").remove(),k=Wk(e,i.gauge.axis),k.type=\"linear\",k.range=i.gauge.axis.range,k._id=\"xangularaxis\",k.ticklabeloverflow=\"allow\",k.setScale();var C=function(_e){return(k.range[0]-_e.x)/(k.range[1]-k.range[0])*Math.PI+Math.PI},M={},p=av.makeLabelFns(k,0),P=p.labelStandoff;M.xFn=function(_e){var Me=C(_e);return Math.cos(Me)*P},M.yFn=function(_e){var Me=C(_e),ke=Math.sin(Me)>0?.2:1;return-Math.sin(Me)*(P+_e.fontSize*ke)+Math.abs(Math.cos(Me))*(_e.fontSize*cZt)},M.anchorFn=function(_e){var Me=C(_e),ke=Math.cos(Me);return Math.abs(ke)<.1?\"middle\":ke>0?\"start\":\"end\"},M.heightFn=function(_e,Me,ke){var ge=C(_e);return-.5*(1+Math.sin(ge))*ke};var T=function(_e){return Zk(c[0]+o*Math.cos(_e),c[1]-o*Math.sin(_e))};L=function(_e){return T(C(_e))};var F=function(_e){var Me=C(_e);return T(Me)+\"rotate(\"+-uZt(Me)+\")\"};if(A=av.calcTicks(k),_=av.getTickSigns(k)[2],k.visible){_=k.ticks===\"inside\"?-1:1;var q=(k.linewidth||1)/2;av.drawTicks(e,k,{vals:A,layer:h,path:\"M\"+_*q+\",0h\"+_*k.ticklen,transFn:F}),av.drawLabels(e,k,{vals:A,layer:h,transFn:L,labelFns:M})}var V=[l].concat(i.gauge.steps),H=f.selectAll(\"g.bg-arc\").data(V);H.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),H.select(\"path\").call(E).call(uw),H.exit().remove();var X=g(i.gauge.bar.thickness),G=f.selectAll(\"g.value-arc\").data([i.gauge.bar]);G.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var N=G.select(\"path\");Xk(d)?(N.transition().duration(d.duration).ease(d.easing).each(\"end\",function(){v&&v()}).each(\"interrupt\",function(){v&&v()}).attrTween(\"d\",mZt(X,b(r[0].lastY),b(r[0].y))),i._lastValue=r[0].y):N.attr(\"d\",typeof r[0].y==\"number\"?X.endAngle(b(r[0].y)):\"M0,0Z\"),N.call(uw),G.exit().remove(),V=[];var W=i.gauge.threshold.value;(W||W===0)&&V.push({range:[W,W],color:i.gauge.threshold.color,line:{color:i.gauge.threshold.line.color,width:i.gauge.threshold.line.width},thickness:i.gauge.threshold.thickness});var re=f.selectAll(\"g.threshold-arc\").data(V);re.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),re.select(\"path\").call(E).call(uw),re.exit().remove();var ae=f.selectAll(\"g.gauge-outline\").data([u]);ae.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),ae.select(\"path\").call(E).call(uw),ae.exit().remove()}function gZt(e,t,r,n){var i=r[0].trace,a=n.numbersX,o=n.numbersY,s=i.align||\"center\",l=HJ[s],u=n.transitionOpts,c=n.onComplete,f=Mx.ensureSingle(t,\"g\",\"numbers\"),h,d,v,x=[];i._hasNumber&&x.push(\"number\"),i._hasDelta&&(x.push(\"delta\"),i.delta.position===\"left\"&&x.reverse());var b=f.selectAll(\"text\").data(x);b.enter().append(\"text\"),b.attr(\"text-anchor\",function(){return l}).attr(\"class\",function(T){return T}).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),b.exit().remove();function g(T,F,q,V){if(T.match(\"s\")&&q>=0!=V>=0&&!F(q).slice(-1).match(vWe)&&!F(V).slice(-1).match(vWe)){var H=T.slice().replace(\"s\",\"f\").replace(/\\d+/,function(G){return parseInt(G)-1}),X=Wk(e,{tickformat:H});return function(G){return Math.abs(G)<1?av.tickText(X,G).text:F(G)}}else return 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this._calendar.fromJSDate(e)},toString:function(){return(this.year()<0?\"-\":\"\")+w9(Math.abs(this.year()),4)+\"-\"+w9(this.month(),2)+\"-\"+w9(this.day(),2)}});function Z$(){this.shortYearCutoff=\"+10\"}T9(Z$.prototype,{_validateLevel:0,newDate:function(e,t,r){return e==null?this.today():(e.year&&(this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate),r=e.day(),t=e.month(),e=e.year()),new W$(this,e,t,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(e){var t=this._validate(e,this.minMonth,this.minDay,Es.local.invalidYear||Es.regionalOptions[\"\"].invalidYear);return t.year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Es.local.invalidYear||Es.regionalOptions[\"\"].invalidYear);return(t.year()<0?\"-\":\"\")+w9(Math.abs(t.year()),4)},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,Es.local.invalidYear||Es.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(e,t){var r=this._validate(e,t,this.minDay,Es.local.invalidMonth||Es.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(e,t){var r=(t+this.firstMonth-2*this.minMonth)%this.monthsInYear(e)+this.minMonth;return this._validate(e,r,this.minDay,Es.local.invalidMonth||Es.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Es.local.invalidYear||Es.regionalOptions[\"\"].invalidYear);return this.leapYear(t)?366:365},dayOfYear:function(e,t,r){var n=this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(e,t,r){return this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate),{}},add:function(e,t,r){return this._validate(e,this.minMonth,this.minDay,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate),this._correctAdd(e,this._add(e,t,r),t,r)},_add:function(e,t,r){if(this._validateLevel++,r===\"d\"||r===\"w\"){var n=e.toJD()+t*(r===\"w\"?this.daysInWeek():1),i=e.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=e.year()+(r===\"y\"?t:0),o=e.monthOfYear()+(r===\"m\"?t:0),i=e.day(),s=function(c){for(;of-1+c.minMonth;)a++,o-=f,f=c.monthsInYear(a)};r===\"y\"?(e.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,e.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):r===\"m\"&&(s(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var l=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,l}catch(u){throw this._validateLevel--,u}},_correctAdd:function(e,t,r,n){if(!this.hasYearZero&&(n===\"y\"||n===\"m\")&&(t[0]===0||e.year()>0!=t[0]>0)){var i={y:[1,1,\"y\"],m:[1,this.monthsInYear(-1),\"m\"],w:[this.daysInWeek(),this.daysInYear(-1),\"d\"],d:[1,this.daysInYear(-1),\"d\"]}[n],a=r<0?-1:1;t=this._add(e,r*i[0]+a*i[1],i[2])}return e.date(t[0],t[1],t[2])},set:function(e,t,r){this._validate(e,this.minMonth,this.minDay,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate);var n=r===\"y\"?t:e.year(),i=r===\"m\"?t:e.month(),a=r===\"d\"?t:e.day();return(r===\"y\"||r===\"m\")&&(a=Math.min(a,this.daysInMonth(n,i))),e.date(n,i,a)},isValid:function(e,t,r){this._validateLevel++;var n=this.hasYearZero||e!==0;if(n){var i=this.newDate(e,t,this.minDay);n=t>=this.minMonth&&t-this.minMonth=this.minDay&&r-this.minDay13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(e,t,r){var n=this._validate(e,t,r,Es.local.invalidDate||Es.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(e){return this.newDate(e.getFullYear(),e.getMonth()+1,e.getDate())}});var Es=y$e.exports=new m$e;Es.cdate=W$;Es.baseCalendar=Z$;Es.calendars.gregorian=X$});var _$e=ye(()=>{var Y$=bh(),qd=Sv();Y$(qd.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from 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qd.local.invalidFormat||qd.regionalOptions[\"\"].invalidFormat;e=e||this.local.dateFormat,r=r||{};for(var n=r.dayNamesShort||this.local.dayNamesShort,i=r.dayNames||this.local.dayNames,a=r.monthNumbers||this.local.monthNumbers,o=r.monthNamesShort||this.local.monthNamesShort,s=r.monthNames||this.local.monthNames,l=r.calculateWeek||this.local.calculateWeek,u=function(A,L){for(var _=1;k+_1},c=function(A,L,_,C){var M=\"\"+L;if(u(A,C))for(;M.length<_;)M=\"0\"+M;return M},f=function(A,L,_,C){return u(A)?C[L]:_[L]},h=this,d=function(A){return typeof a==\"function\"?a.call(h,A,u(\"m\")):b(c(\"m\",A.month(),2))},v=function(A,L){return L?typeof s==\"function\"?s.call(h,A):s[A.month()-h.minMonth]:typeof o==\"function\"?o.call(h,A):o[A.month()-h.minMonth]},x=this.local.digits,b=function(A){return r.localNumbers&&x?x(A):A},g=\"\",E=!1,k=0;k1},E=function(F,q){var V=g(F,q),H=[2,3,V?4:2,V?4:2,10,11,20][\"oyYJ@!\".indexOf(F)+1],X=new RegExp(\"^-?\\\\d{1,\"+H+\"}\"),G=t.substring(M).match(X);if(!G)throw(qd.local.missingNumberAt||qd.regionalOptions[\"\"].missingNumberAt).replace(/\\{0\\}/,M);return M+=G[0].length,parseInt(G[0],10)},k=this,A=function(){if(typeof s==\"function\"){g(\"m\");var F=s.call(k,t.substring(M));return M+=F.length,F}return E(\"m\")},L=function(F,q,V,H){for(var X=g(F,H)?V:q,G=0;G-1){h=1,d=v;for(var T=this.daysInMonth(f,h);d>T;T=this.daysInMonth(f,h))h++,d-=T}return c>-1?this.fromJD(c):this.newDate(f,h,d)},determineDate:function(e,t,r,n,i){r&&typeof r!=\"object\"&&(i=n,n=r,r=null),typeof n!=\"string\"&&(i=n,n=\"\");var a=this,o=function(s){try{return a.parseDate(n,s,i)}catch(f){}s=s.toLowerCase();for(var l=(s.match(/^c/)&&r?r.newDate():null)||a.today(),u=/([+-]?[0-9]+)\\s*(d|w|m|y)?/g,c=u.exec(s);c;)l.add(parseInt(c[1],10),c[2]||\"d\"),c=u.exec(s);return l};return t=t?t.newDate():null,e=e==null?t:typeof e==\"string\"?o(e):typeof e==\"number\"?isNaN(e)||e===1/0||e===-1/0?t:a.today().add(e,\"d\"):a.newDate(e),e}})});var x$e=ye(()=>{var Dx=Sv(),K$t=bh(),K$=Dx.instance();function A9(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}A9.prototype=new Dx.baseCalendar;K$t(A9.prototype,{name:\"Chinese\",jdEpoch:17214255e-1,hasYearZero:!1,minMonth:0,firstMonth:0,minDay:1,regionalOptions:{\"\":{name:\"Chinese\",epochs:[\"BEC\",\"EC\"],monthNumbers:function(e,t){if(typeof e==\"string\"){var r=e.match($$t);return r?r[0]:\"\"}var n=this._validateYear(e),i=e.month(),a=\"\"+this.toChineseMonth(n,i);return t&&a.length<2&&(a=\"0\"+a),this.isIntercalaryMonth(n,i)&&(a+=\"i\"),a},monthNames:function(e){if(typeof e==\"string\"){var t=e.match(Q$t);return t?t[0]:\"\"}var r=this._validateYear(e),n=e.month(),i=this.toChineseMonth(r,n),a=[\"\\u4E00\\u6708\",\"\\u4E8C\\u6708\",\"\\u4E09\\u6708\",\"\\u56DB\\u6708\",\"\\u4E94\\u6708\",\"\\u516D\\u6708\",\"\\u4E03\\u6708\",\"\\u516B\\u6708\",\"\\u4E5D\\u6708\",\"\\u5341\\u6708\",\"\\u5341\\u4E00\\u6708\",\"\\u5341\\u4E8C\\u6708\"][i-1];return this.isIntercalaryMonth(r,n)&&(a=\"\\u95F0\"+a),a},monthNamesShort:function(e){if(typeof e==\"string\"){var t=e.match(eQt);return t?t[0]:\"\"}var r=this._validateYear(e),n=e.month(),i=this.toChineseMonth(r,n),a=[\"\\u4E00\",\"\\u4E8C\",\"\\u4E09\",\"\\u56DB\",\"\\u4E94\",\"\\u516D\",\"\\u4E03\",\"\\u516B\",\"\\u4E5D\",\"\\u5341\",\"\\u5341\\u4E00\",\"\\u5341\\u4E8C\"][i-1];return this.isIntercalaryMonth(r,n)&&(a=\"\\u95F0\"+a),a},parseMonth:function(e,t){e=this._validateYear(e);var r=parseInt(t),n;if(isNaN(r))t[0]===\"\\u95F0\"&&(n=!0,t=t.substring(1)),t[t.length-1]===\"\\u6708\"&&(t=t.substring(0,t.length-1)),r=1+[\"\\u4E00\",\"\\u4E8C\",\"\\u4E09\",\"\\u56DB\",\"\\u4E94\",\"\\u516D\",\"\\u4E03\",\"\\u516B\",\"\\u4E5D\",\"\\u5341\",\"\\u5341\\u4E00\",\"\\u5341\\u4E8C\"].indexOf(t);else{var i=t[t.length-1];n=i===\"i\"||i===\"I\"}var a=this.toMonthIndex(e,r,n);return a},dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},_validateYear:function(e,t){if(e.year&&(e=e.year()),typeof e!=\"number\"||e<1888||e>2111)throw t.replace(/\\{0\\}/,this.local.name);return e},toMonthIndex:function(e,t,r){var n=this.intercalaryMonth(e),i=r&&t!==n;if(i||t<1||t>12)throw Dx.local.invalidMonth.replace(/\\{0\\}/,this.local.name);var a;return 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a},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,a,r,Dx.local.invalidDate);e=this._validateYear(n.year()),t=n.month(),r=n.day();var i=this.isIntercalaryMonth(e,t),a=this.toChineseMonth(e,t),o=rQt(e,a,r,i);return K$.toJD(o.year,o.month,o.day)},fromJD:function(e){var t=K$.fromJD(e),r=tQt(t.year(),t.month(),t.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(e){var t=e.match(J$t),r=this._validateYear(+t[1]),n=+t[2],i=!!t[3],a=this.toMonthIndex(r,n,i),o=+t[4];return this.newDate(r,a,o)},add:function(e,t,r){var n=e.year(),i=e.month(),a=this.isIntercalaryMonth(n,i),o=this.toChineseMonth(n,i),s=Object.getPrototypeOf(A9.prototype).add.call(this,e,t,r);if(r===\"y\"){var l=s.year(),u=s.month(),c=this.isIntercalaryMonth(l,o),f=a&&c?this.toMonthIndex(l,o,!0):this.toMonthIndex(l,o,!1);f!==u&&s.month(f)}return s}});var 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rQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}rQ.prototype=new aC.baseCalendar;uQt(rQ.prototype,{name:\"Julian\",jdEpoch:17214235e-1,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,aC.local.invalidYear),r=t.year()<0?t.year()+1:t.year();return r%4===0},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,aC.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(e,t,r){var n=this._validate(e,t,r,aC.local.invalidDate);return e=n.year(),t=n.month(),r=n.day(),e<0&&e++,t<=2&&(e--,t+=12),Math.floor(365.25*(e+4716))+Math.floor(30.6001*(t+1))+r-1524.5},fromJD:function(e){var t=Math.floor(e+.5),r=t+1524,n=Math.floor((r-122.1)/365.25),i=Math.floor(365.25*n),a=Math.floor((r-i)/30.6001),o=a-Math.floor(a<14?1:13),s=n-Math.floor(o>2?4716:4715),l=r-i-Math.floor(30.6001*a);return s<=0&&s--,this.newDate(s,o,l)}});aC.calendars.julian=rQ});var k$e=ye(()=>{var ug=Sv(),cQt=bh();function nQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}nQ.prototype=new ug.baseCalendar;cQt(nQ.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),!1},formatYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear);e=t.year();var r=Math.floor(e/400);e=e%400,e+=e<0?400:0;var n=Math.floor(e/20);return r+\".\"+n+\".\"+e%20},forYear:function(e){if(e=e.split(\".\"),e.length<3)throw\"Invalid Mayan year\";for(var t=0,r=0;r19||r>0&&n<0)throw\"Invalid Mayan year\";t=t*20+n}return t},monthsInYear:function(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),18},weekOfYear:function(e,t,r){return this._validate(e,t,r,ug.local.invalidDate),0},daysInYear:function(e){return this._validate(e,this.minMonth,this.minDay,ug.local.invalidYear),360},daysInMonth:function(e,t){return this._validate(e,t,this.minDay,ug.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate);return n.day()},weekDay:function(e,t,r){return this._validate(e,t,r,ug.local.invalidDate),!0},extraInfo:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate),i=n.toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(e){e-=this.jdEpoch;var t=iQ(e+8+17*20,365);return[Math.floor(t/20)+1,iQ(t,20)]},_toTzolkin:function(e){return e-=this.jdEpoch,[E$e(e+20,20),E$e(e+4,13)]},toJD:function(e,t,r){var n=this._validate(e,t,r,ug.local.invalidDate);return n.day()+n.month()*20+n.year()*360+this.jdEpoch},fromJD:function(e){e=Math.floor(e)+.5-this.jdEpoch;var t=Math.floor(e/360);e=e%360,e+=e<0?360:0;var r=Math.floor(e/20),n=e%20;return this.newDate(t,r,n)}});function iQ(e,t){return e-t*Math.floor(e/t)}function E$e(e,t){return iQ(e-1,t)+1}ug.calendars.mayan=nQ});var L$e=ye(()=>{var bw=Sv(),fQt=bh();function aQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}aQ.prototype=new bw.baseCalendar;var C$e=bw.instance(\"gregorian\");fQt(aQ.prototype,{name:\"Nanakshahi\",jdEpoch:22576735e-1,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,bw.local.invalidYear||bw.regionalOptions[\"\"].invalidYear);return C$e.leapYear(t.year()+(t.year()<1?1:0)+1469)},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,bw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,bw.local.invalidMonth),i=n.year();i<0&&i++;for(var a=n.day(),o=1;o=this.toJD(t+1,1,1);)t++;for(var r=e-Math.floor(this.toJD(t,1,1)+.5)+1,n=1;r>this.daysInMonth(t,n);)r-=this.daysInMonth(t,n),n++;return this.newDate(t,n,r)}});bw.calendars.nanakshahi=aQ});var P$e=ye(()=>{var ww=Sv(),hQt=bh();function oQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}oQ.prototype=new ww.baseCalendar;hQt(oQ.prototype,{name:\"Nepali\",jdEpoch:17007095e-1,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(e){return this.daysInYear(e)!==this.daysPerYear},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,ww.local.invalidYear);if(e=t.year(),typeof this.NEPALI_CALENDAR_DATA[e]==\"undefined\")return this.daysPerYear;for(var r=0,n=this.minMonth;n<=12;n++)r+=this.NEPALI_CALENDAR_DATA[e][n];return r},daysInMonth:function(e,t){return e.year&&(t=e.month(),e=e.year()),this._validate(e,t,this.minDay,ww.local.invalidMonth),typeof this.NEPALI_CALENDAR_DATA[e]==\"undefined\"?this.daysPerMonth[t-1]:this.NEPALI_CALENDAR_DATA[e][t]},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==6},toJD:function(e,t,r){var n=this._validate(e,t,r,ww.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=ww.instance(),a=0,o=t,s=e;this._createMissingCalendarData(e);var l=e-(o>9||o===9&&r>=this.NEPALI_CALENDAR_DATA[s][0]?56:57);for(t!==9&&(a=r,o--);o!==9;)o<=0&&(o=12,s--),a+=this.NEPALI_CALENDAR_DATA[s][o],o--;return t===9?(a+=r-this.NEPALI_CALENDAR_DATA[s][0],a<0&&(a+=i.daysInYear(l))):a+=this.NEPALI_CALENDAR_DATA[s][9]-this.NEPALI_CALENDAR_DATA[s][0],i.newDate(l,1,1).add(a,\"d\").toJD()},fromJD:function(e){var t=ww.instance(),r=t.fromJD(e),n=r.year(),i=r.dayOfYear(),a=n+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)o++,o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(e){var t=this.daysPerMonth.slice(0);t.unshift(17);for(var r=e-1;r{var QA=Sv(),dQt=bh();function M9(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}M9.prototype=new QA.baseCalendar;dQt(M9.prototype,{name:\"Persian\",jdEpoch:19483205e-1,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xE6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xE6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,QA.local.invalidYear);return((t.year()-(t.year()>0?474:473))%2820+474+38)*682%2816<682},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-((n.dayOfWeek()+1)%7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,QA.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===12&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,QA.local.invalidDate);e=n.year(),t=n.month(),r=n.day();var i=e-(e>=0?474:473),a=474+sQ(i,2820);return r+(t<=7?(t-1)*31:(t-1)*30+6)+Math.floor((a*682-110)/2816)+(a-1)*365+Math.floor(i/2820)*1029983+this.jdEpoch-1},fromJD:function(e){e=Math.floor(e)+.5;var t=e-this.toJD(475,1,1),r=Math.floor(t/1029983),n=sQ(t,1029983),i=2820;if(n!==1029982){var a=Math.floor(n/366),o=sQ(n,366);i=Math.floor((2134*a+2816*o+2815)/1028522)+a+1}var s=i+2820*r+474;s=s<=0?s-1:s;var l=e-this.toJD(s,1,1)+1,u=l<=186?Math.ceil(l/31):Math.ceil((l-6)/30),c=e-this.toJD(s,u,1)+1;return this.newDate(s,u,c)}});function sQ(e,t){return e-t*Math.floor(e/t)}QA.calendars.persian=M9;QA.calendars.jalali=M9});var R$e=ye(()=>{var Tw=Sv(),vQt=bh(),E9=Tw.instance();function lQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}lQ.prototype=new Tw.baseCalendar;vQt(lQ.prototype,{name:\"Taiwan\",jdEpoch:24194025e-1,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Tw.local.invalidYear),r=this._t2gYear(t.year());return E9.leapYear(r)},weekOfYear:function(i,t,r){var n=this._validate(i,this.minMonth,this.minDay,Tw.local.invalidYear),i=this._t2gYear(n.year());return E9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Tw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Tw.local.invalidDate),i=this._t2gYear(n.year());return E9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=E9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)},_g2tYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)}});Tw.calendars.taiwan=lQ});var D$e=ye(()=>{var Aw=Sv(),pQt=bh(),k9=Aw.instance();function uQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}uQ.prototype=new Aw.baseCalendar;pQt(uQ.prototype,{name:\"Thai\",jdEpoch:15230985e-1,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(r){var t=this._validate(r,this.minMonth,this.minDay,Aw.local.invalidYear),r=this._t2gYear(t.year());return k9.leapYear(r)},weekOfYear:function(i,t,r){var n=this._validate(i,this.minMonth,this.minDay,Aw.local.invalidYear),i=this._t2gYear(n.year());return k9.weekOfYear(i,n.month(),n.day())},daysInMonth:function(e,t){var r=this._validate(e,t,this.minDay,Aw.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(r.month()===2&&this.leapYear(r.year())?1:0)},weekDay:function(e,t,r){return(this.dayOfWeek(e,t,r)||7)<6},toJD:function(i,t,r){var n=this._validate(i,t,r,Aw.local.invalidDate),i=this._t2gYear(n.year());return k9.toJD(i,n.month(),n.day())},fromJD:function(e){var t=k9.fromJD(e),r=this._g2tYear(t.year());return this.newDate(r,t.month(),t.day())},_t2gYear:function(e){return e-this.yearsOffset-(e>=1&&e<=this.yearsOffset?1:0)},_g2tYear:function(e){return e+this.yearsOffset+(e>=-this.yearsOffset&&e<=-1?1:0)}});Aw.calendars.thai=uQ});var z$e=ye(()=>{var Sw=Sv(),gQt=bh();function cQ(e){this.local=this.regionalOptions[e||\"\"]||this.regionalOptions[\"\"]}cQ.prototype=new Sw.baseCalendar;gQt(cQ.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012Bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(e){var t=this._validate(e,this.minMonth,this.minDay,Sw.local.invalidYear);return this.daysInYear(t.year())===355},weekOfYear:function(e,t,r){var n=this.newDate(e,t,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(e){for(var t=0,r=1;r<=12;r++)t+=this.daysInMonth(e,r);return t},daysInMonth:function(e,t){for(var r=this._validate(e,t,this.minDay,Sw.local.invalidMonth),n=r.toJD()-24e5+.5,i=0,a=0;an)return Ox[i]-Ox[i-1];i++}return 30},weekDay:function(e,t,r){return this.dayOfWeek(e,t,r)!==5},toJD:function(e,t,r){var n=this._validate(e,t,r,Sw.local.invalidDate),i=12*(n.year()-1)+n.month()-15292,a=n.day()+Ox[i-1]-1;return a+24e5-.5},fromJD:function(e){for(var t=e-24e5+.5,r=0,n=0;nt);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),o=a+1,s=i-12*a,l=t-Ox[r-1]+1;return this.newDate(o,s,l)},isValid:function(e,t,r){var n=Sw.baseCalendar.prototype.isValid.apply(this,arguments);return n&&(e=e.year!=null?e.year:e,n=e>=1276&&e<=1500),n},_validate:function(e,t,r,n){var i=Sw.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw n.replace(/\\{0\\}/,this.local.name);return i}});Sw.calendars.ummalqura=cQ;var 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@license MIT\n", + " */\n", + "/*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh */\n", + "/*!\n", + " * Determine if an object is a Buffer\n", + " *\n", + " * @author Feross Aboukhadijeh \n", + " * @license MIT\n", + " */\n", + "/*!\n", + " * pad-left \n", + " *\n", + " * Copyright (c) 2014-2015, Jon Schlinkert.\n", + " * Licensed under the MIT license.\n", + " */\n", + "/*!\n", + " * repeat-string \n", + " *\n", + " * Copyright (c) 2014-2015, Jon Schlinkert.\n", + " * Licensed under the MIT License.\n", + " */\n", + "/*! Bundled license information:\n", + "\n", + "native-promise-only/lib/npo.src.js:\n", + " (*! Native Promise Only\n", + " v0.8.1 (c) Kyle Simpson\n", + " MIT License: http://getify.mit-license.org\n", + " *)\n", + "\n", + "polybooljs/index.js:\n", + " (*\n", + " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n", + " * @license MIT\n", + " * @preserve Project Home: https://github.com/voidqk/polybooljs\n", + " *)\n", + "\n", + "ieee754/index.js:\n", + " (*! ieee754. BSD-3-Clause License. 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" + " }) }; " ] }, "metadata": {}, @@ -2328,7 +9947,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.9" + "version": "3.11.11" }, "vscode": { "interpreter": { diff --git a/CVECWE.ipynb b/CVECWE.ipynb index 54d1c9e4b2..0eded96b9e 100644 --- a/CVECWE.ipynb +++ b/CVECWE.ipynb @@ -15,10 +15,10 @@ "id": "91b44dc2", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:30:47.333059Z", - "iopub.status.busy": "2024-09-13T08:30:47.332888Z", - "iopub.status.idle": "2024-09-13T08:30:48.028575Z", - "shell.execute_reply": "2024-09-13T08:30:48.027965Z" + "iopub.execute_input": "2025-03-03T16:37:35.826255Z", + "iopub.status.busy": "2025-03-03T16:37:35.826077Z", + "iopub.status.idle": "2025-03-03T16:37:36.498375Z", + "shell.execute_reply": "2025-03-03T16:37:36.497852Z" }, "tags": [ "remove-cell" @@ -102,10 +102,10 @@ "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:30:48.031415Z", - "iopub.status.busy": "2024-09-13T08:30:48.030877Z", - "iopub.status.idle": "2024-09-13T08:31:08.345531Z", - "shell.execute_reply": "2024-09-13T08:31:08.344970Z" + "iopub.execute_input": "2025-03-03T16:37:36.500508Z", + "iopub.status.busy": "2025-03-03T16:37:36.500054Z", + "iopub.status.idle": "2025-03-03T16:38:01.448216Z", + "shell.execute_reply": "2025-03-03T16:38:01.447547Z" }, "tags": [ "remove-cell" @@ -183,6 +183,10 @@ " description = entry['cve']['descriptions'][0]['value']\n", " except IndexError:\n", " description = ''\n", + " try: \n", + " vulnStatus = entry['cve']['vulnStatus']\n", + " except IndexError:\n", + " vulnStatus = '' \n", " new_row = {\n", " 'CVE': cve,\n", " 'Published': published_date,\n", @@ -200,12 +204,13 @@ " 'ImpactScore': impact_score,\n", " 'CWE': cwe,\n", " 'Description': description,\n", - " 'Assigner' : assigner\n", + " 'Assigner' : assigner,\n", + " 'Status': vulnStatus \n", " }\n", - " if not description.startswith('rejected reason'): \n", - " row_accumulator.append(new_row)\n", + " row_accumulator.append(new_row)\n", " nvd = pd.DataFrame(row_accumulator)\n", - " \n", + "\n", + "nvd = nvd[~nvd.Status.str.contains('Rejected')] \n", "nvd['Published'] = pd.to_datetime(nvd['Published'])\n", "nvd = nvd.sort_values(by=['Published'])\n", "nvd = nvd.reset_index(drop=True)\n", @@ -240,10 +245,10 @@ "id": "6815f0a1", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:31:08.348153Z", - "iopub.status.busy": "2024-09-13T08:31:08.347790Z", - "iopub.status.idle": "2024-09-13T08:31:08.619644Z", - "shell.execute_reply": "2024-09-13T08:31:08.618994Z" + "iopub.execute_input": "2025-03-03T16:38:01.450505Z", + "iopub.status.busy": "2025-03-03T16:38:01.450289Z", + "iopub.status.idle": "2025-03-03T16:38:01.767974Z", + "shell.execute_reply": "2025-03-03T16:38:01.767380Z" }, "tags": [ "remove-input" @@ -252,7 +257,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -279,10 +284,10 @@ "id": "04a26e54", "metadata": { "execution": { - "iopub.execute_input": "2024-09-13T08:31:08.622434Z", - "iopub.status.busy": "2024-09-13T08:31:08.621929Z", - "iopub.status.idle": "2024-09-13T08:31:08.630267Z", - "shell.execute_reply": "2024-09-13T08:31:08.629801Z" + "iopub.execute_input": "2025-03-03T16:38:01.769941Z", + "iopub.status.busy": "2025-03-03T16:38:01.769579Z", + "iopub.status.idle": "2025-03-03T16:38:01.777715Z", + "shell.execute_reply": "2025-03-03T16:38:01.777273Z" }, "tags": [ "remove-input" @@ -292,7 +297,7 @@ { "data": { "text/html": [ - "\n", + "
\n", "\n", " \n", " \n", @@ -301,7 +306,6 @@ " \n", " \n", "\n", - "\n", "\n", - "\n", "
\n", - "\n", - "
\n", - "Loading ITables v2.1.5 from the internet...\n", + "Loading ITables v2.2.5 from the internet...\n", "(need help?)
\n", - "\n", + "\n", "