diff --git a/assets/FlinFlon.geoh5 b/assets/FlinFlon.geoh5 index d3dc866a0..4df4a53a4 100644 --- a/assets/FlinFlon.geoh5 +++ b/assets/FlinFlon.geoh5 @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:048a18663a032580553138e0e387a2a9e7bffcb13f6b16c82b89f928cf727ca8 -size 18624135 +oid sha256:cb2f7cff9dec2cdb0b2df81a663439a8322ba7a8e5924b9fed637b7be664babb +size 20706106 diff --git a/conda-py-3.10-lock.yml b/conda-py-3.10-lock.yml index b2ef0e4bb..c03aec5d5 100644 --- a/conda-py-3.10-lock.yml +++ b/conda-py-3.10-lock.yml @@ -21,9 +21,9 @@ metadata: - url: defaults used_env_vars: [] content_hash: - linux-64: c0b4ae9e854f84e295abb337b4ca0c9010cf30c3e2765be27e66ab95c120444a - osx-64: 1f05b7c5155875970fe47006f618e729183f6659eb0d66e5cdb6f71add761e41 - win-64: e18de762efef9efbb3751464f1d6e045e99d74bb992bcf79c73a5a4c6f71a5e1 + linux-64: 3ec4fdef10aab44d9db73da5cf3f58033c45a361304d5de57b40dc8ad09fbdde + osx-64: 3d8b1c43290898761ee9a03920accd858c08b4561b97be76353d9d621db00368 + win-64: 90d5bc3bed83f64bcb7e73e32df450877f61067f109c3f1b011905792e39d757 platforms: - win-64 - osx-64 @@ -46,14 +46,14 @@ package: - category: main dependencies: {} hash: - md5: 41e4e87062433e283696cf384f952ef6 - sha256: 058355034667e77d15389700f6b2364cc74efce0af63a418eacc1ce252458942 + md5: ff9f73d45c4a07d6f424495288a26080 + sha256: 8f6c81b0637771ae0ea73dc03a6d30bec3326ba3927f2a7b91931aa2d59b1789 manager: conda name: ca-certificates optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2022.9.24-ha878542_0.tar.bz2 - version: 2022.9.24 + url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2022.12.7-ha878542_0.conda + version: 2022.12.7 - category: full dependencies: {} hash: @@ -101,13 +101,13 @@ package: - category: main dependencies: {} hash: - md5: c2719e2faa7bd7076d3a4b52271e5622 - sha256: a41140cb2a85048eba89dcf6cc8267e673bf40ce2108534eda1531b9f939fe82 + md5: 737be0d34c22d24432049ab7a3214de4 + sha256: 3e7f203e33ea497b6e468279cc5fdef7d556473c25e7466b35fd672940392469 manager: conda name: ld_impl_linux-64 optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.39-hc81fddc_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.39-hcc3a1bd_1.conda version: '2.39' - category: main dependencies: {} @@ -145,14 +145,25 @@ package: - category: main dependencies: {} hash: - md5: e366350e2343a798e29833286abe2560 - sha256: 419eaff0d20f418974ca27a40bc871bbe48217dba05936f147a574eb5f079005 + md5: 4eb33d14d794b0f4be116443ffed3853 + sha256: bcb15db27eb6fbc0fe15d23aa60dcfa58ef451d92771441068d4a911aea7bb9f + manager: conda + name: python_abi + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.10-3_cp310.conda + version: '3.10' +- category: main + dependencies: {} + hash: + md5: 51fc4fcfb19f5d95ffc8c339db5068e8 + sha256: 0bfae0b9962bc0dbf79048f9175b913ed4f53c4310d06708dc7acbb290ad82f6 manager: conda name: tzdata optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2022f-h191b570_0.tar.bz2 - version: 2022f + url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2022g-h191b570_0.conda + version: 2022g - category: full dependencies: font-ttf-dejavu-sans-mono: '' @@ -192,6 +203,18 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2 version: '1' +- category: full + dependencies: + python: 3.10.* + hash: + md5: e3f19766a5bf40d587e507670a9e2cf8 + sha256: 3a4e5f4ff6c1baaffdb70745f0d2267c1c8e92d518fcdf0ac400a02cd125d136 + manager: conda + name: _ipython_minor_entry_point + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/_ipython_minor_entry_point-8.7.0-hb6b4a82_0.conda + version: 8.7.0 - category: main dependencies: _libgcc_mutex: 0.1 conda_forge @@ -310,14 +333,14 @@ package: libgcc-ng: '>=12' libstdcxx-ng: '>=12' hash: - md5: a583d0bc9a85c48e8b07a588d1ac8a80 - sha256: eaee8645a203291cf12ddf15d274e535c1a5292d9bce4f76f888d171f1523754 + md5: 917b9a50001fffdd89b321b5dba31e55 + sha256: 836f3362ba45d104efecbdb3991c1e01b8152978b194d84202c25c8f2c5fce6f manager: conda name: geos optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/geos-3.11.0-h27087fc_0.tar.bz2 - version: 3.11.0 + url: https://conda.anaconda.org/conda-forge/linux-64/geos-3.11.1-h27087fc_0.tar.bz2 + version: 3.11.1 - category: full dependencies: libgcc-ng: '>=12' @@ -342,7 +365,7 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/giflib-5.2.1-h36c2ea0_2.tar.bz2 version: 5.2.1 -- category: full +- category: main dependencies: libgcc-ng: '>=10.3.0' libstdcxx-ng: '>=10.3.0' @@ -351,7 +374,7 @@ package: sha256: 1d7950f3be4637ab915d886304e57731d39a41ab705ffc95c4681655c459374a manager: conda name: icu - optional: true + optional: false platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/icu-70.1-h27087fc_0.tar.bz2 version: '70.1' @@ -477,7 +500,7 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2 version: 3.4.2 -- category: full +- category: main dependencies: libgcc-ng: '>=10.3.0' hash: @@ -485,7 +508,7 @@ package: sha256: 6a81ebac9f1aacdf2b4f945c87ad62b972f0f69c8e0981d68e111739e6720fd7 manager: conda name: libiconv - optional: true + optional: false platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-h166bdaf_0.tar.bz2 version: '1.17' @@ -589,43 +612,30 @@ package: version: '6.3' - category: full dependencies: - libgcc-ng: '>=9.4.0' - libstdcxx-ng: '>=9.4.0' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' hash: - md5: 29ded371806431b0499aaee146abfc3e - sha256: 987835de2261507bcea0dcb61ed0668e4622fc55ad9d84ec1fc3d72ab2bd94e9 + md5: da0ec11a6454ae19bff5b02ed881a2b1 + sha256: 8fadeebb2b7369a4f3b2c039a980d419f65c7b18267ba0c62588f9f894396d0c manager: conda name: nspr optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/nspr-4.32-h9c3ff4c_1.tar.bz2 - version: '4.32' + url: https://conda.anaconda.org/conda-forge/linux-64/nspr-4.35-h27087fc_0.conda + version: '4.35' - category: main dependencies: ca-certificates: '' libgcc-ng: '>=12' hash: - md5: d1ad1824c71e67dea42f07e06cd177dc - sha256: 67fc8e91186ada002682bdd125e1ceece884ba309c68e9c5c981e8412196d226 + md5: 7adaac6ff98219bcb99b45e408b80f4e + sha256: d9143f6d10e7edaa8cbb03e510d60c54463f4538c01f30b0abff51def582d94e manager: conda name: openssl optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.0.7-h166bdaf_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.0.7-h0b41bf4_1.conda version: 3.0.7 -- category: full - dependencies: - libgcc-ng: '>=9.3.0' - libstdcxx-ng: '>=9.3.0' - hash: - md5: c05d1820a6d34ff07aaaab7a9b7eddaa - sha256: 8f35c244b1631a4f31fb1d66ab6e1d9bfac0ca9b679deced1112c7225b3ad138 - manager: conda - name: pcre - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pcre-8.45-h9c3ff4c_0.tar.bz2 - version: '8.45' - category: full dependencies: libgcc-ng: '>=7.5.0' @@ -652,42 +662,43 @@ package: version: '0.4' - category: full dependencies: - libgcc-ng: '>=10.3.0' - libstdcxx-ng: '>=10.3.0' + libgcc-ng: '>=9.4.0' + libstdcxx-ng: '>=9.4.0' hash: - md5: 418adb239781d9690afc6b1a05514c37 - sha256: 7e324caf1922a94e4c3432854624d25ef1fa361866981584725863c840fde5d2 + md5: 5acb8407fefa1c1929c11c167237e776 + sha256: e1d6e4e74486ce4844c4bbdc7198bb4d8191b70881f6415d1f4b5fd8d98f18d7 manager: conda - name: snappy + name: qhull optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/snappy-1.1.9-hbd366e4_1.tar.bz2 - version: 1.1.9 -- category: main + url: https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h4bd325d_2.tar.bz2 + version: '2020.2' +- category: full dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' hash: - md5: 9f37c25c6fd4edb1d090eac27fed7d49 - sha256: 461eb15626d60aa665013ef5875da041c6e9ffb78cdf3f839377435dabd6cd1d + md5: 48018e187dacc6002d3ede9c824238ac + sha256: a223b21f16f37af90f0b19593baed5c118ee819c5ae7e8fa59b47ece491c268a manager: conda - name: tbb - optional: false + name: snappy + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/tbb-2021.6.0-h924138e_1.tar.bz2 - version: 2021.6.0 + url: https://conda.anaconda.org/conda-forge/linux-64/snappy-1.1.9-hbd366e4_2.tar.bz2 + version: 1.1.9 - category: full dependencies: + __glibc: '>=2.17,<3.0.a0' libgcc-ng: '>=12' hash: - md5: d83ab8f6570bbf0be104948fb2d0f79e - sha256: fb15e3a3228edcfde002f527ee2e9e0b5e1f15091521de1aa8429a4357138af8 + md5: 229620ecbc0bf2f9f04b888fd3478f79 + sha256: 69a2de90e0164155c8ac3251e610060a7227d33c52ebdb982e64fca354a87036 manager: conda name: tzcode optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/tzcode-2022e-h166bdaf_0.tar.bz2 - version: 2022e + url: https://conda.anaconda.org/conda-forge/linux-64/tzcode-2022g-h166bdaf_0.conda + version: 2022g - category: full dependencies: libgcc-ng: '>=9.3.0' @@ -909,43 +920,43 @@ package: - category: main dependencies: libgcc-ng: '>=12' - libzlib: '>=1.2.12,<1.3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: 575078de1d3a3114b3ce131bd1508d0c - sha256: 422a544fbfc8d8bf43de4b2dc5c7c991294ad0e37b37439d8dbf740f07a75437 + md5: e1c890aebdebbfbf87e2c917187b4416 + sha256: a32b36d34e4f2490b99bddbc77d01a674d304f667f0e62c89e02c961addef462 manager: conda name: libpng optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.38-h753d276_0.tar.bz2 - version: 1.6.38 + url: https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.39-h753d276_0.conda + version: 1.6.39 - category: full dependencies: - geos: '>=3.11.0,<3.11.1.0a0' + geos: '>=3.11.1,<3.11.2.0a0' libgcc-ng: '>=12' libstdcxx-ng: '>=12' hash: - md5: 13b2138ccfbd9821fe13ee0cb7471c03 - sha256: 0bd78394199ef26d33cd8af69bb92215a288b1487236420f521dc6e2bc7250d5 + md5: d2047c6de84b07a1db9cbe1683939956 + sha256: 0d6a97cdb1c573bbc3464c47eb0d57da1cd6434689b9dc253d03fca6710d0c22 manager: conda name: librttopo optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/librttopo-1.1.0-hf730bdb_11.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/librttopo-1.1.0-ha49c73b_12.tar.bz2 version: 1.1.0 - category: main dependencies: libgcc-ng: '>=12' - libzlib: '>=1.2.12,<1.3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: 978924c298fc2215f129e8171bbea688 - sha256: 919396aa0e5d0df8d8082db554d850639aa363aff13f4feabf2ee642f823b6d4 + md5: 2e5f9a37d487e1019fd4d8113adb2f9f + sha256: 6008a0b914bd1a3510a3dba38eada93aa0349ebca3a21e5fa276833c8205bf49 manager: conda name: libsqlite optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.39.4-h753d276_0.tar.bz2 - version: 3.39.4 + url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.40.0-h753d276_0.tar.bz2 + version: 3.40.0 - category: main dependencies: libgcc-ng: '>=12' @@ -975,7 +986,7 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.13-h7f98852_1004.tar.bz2 version: '1.13' -- category: full +- category: main dependencies: icu: '>=70.1,<71.0a0' libgcc-ng: '>=12' @@ -987,7 +998,7 @@ package: sha256: b30713fb4477ff4f722280d956593e7e7a2cb705b7444dcc278de447432b43b1 manager: conda name: libxml2 - optional: true + optional: false platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.10.3-h7463322_0.tar.bz2 version: 2.10.3 @@ -1008,16 +1019,16 @@ package: version: 1.9.2 - category: main dependencies: - libzlib: '>=1.2.11,<1.3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: cecc6e3cb66570ffcfb820c637890f54 - sha256: f260a8f90318622e4ba79409e252266758642dc045588745c1875ef2f171ea92 + md5: 6b80b7135d057de371c7284c8471b044 + sha256: 81bac368092b5788efa66cccdfaca824dc55f3f965c16f9e5f715450394cfd72 manager: conda name: llvm-openmp optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/llvm-openmp-14.0.4-he0ac6c6_0.tar.bz2 - version: 14.0.4 + url: https://conda.anaconda.org/conda-forge/linux-64/llvm-openmp-15.0.6-he0ac6c6_0.conda + version: 15.0.6 - category: full dependencies: libzlib: '>=1.2.13,<1.3.0a0' @@ -1036,14 +1047,14 @@ package: libgcc-ng: '>=12' libzlib: '>=1.2.12,<1.3.0a0' hash: - md5: dfd26f27a9d5de96cec1d007b9aeb964 - sha256: ed3fa628b94a82ff039bdc9591c241dfc2c555f0efdfb07a0b53be4b2d9dfe6c + md5: 69e2c796349cd9b273890bee0febfe1b + sha256: 7a29ec847556eed4faa1646010baae371ced69059a4ade43851367a076d6108a manager: conda name: pcre2 optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.37-hc3806b6_1.tar.bz2 - version: '10.37' + url: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.40-hc3806b6_0.tar.bz2 + version: '10.40' - category: main dependencies: libgcc-ng: '>=12' @@ -1127,21 +1138,21 @@ package: version: 1.5.2 - category: full dependencies: - libgcc-ng: '>=10.3.0' - libstdcxx-ng: '>=10.3.0' - libzlib: '>=1.2.11,<1.3.0a0' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + libzlib: '>=1.2.13,<1.3.0a0' lz4-c: '>=1.9.3,<1.10.0a0' snappy: '>=1.1.9,<2.0a0' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 37baca23e60af4130cfc03e8ab9f8e22 - sha256: 3635408361a0d168c289d0e32927b1e1c1e4e563439b4ce7153e787201c6a4e0 + md5: 9fc20ab886b80d1029b828ef7ee79a35 + sha256: 4c3a0242aa1771839bd0e8fa2916fcf8be713d383da71106e662b3e2d99d0b46 manager: conda name: blosc optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.1-h83bc5f7_3.tar.bz2 - version: 1.21.1 + url: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.2-hafa529b_0.conda + version: 1.21.2 - category: full dependencies: bzip2: '>=1.0.8,<2.0a0' @@ -1182,27 +1193,27 @@ package: zlib-ng: '>=2.0.6,<2.1.0a0' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 675c0a3103fd69380bda86cfddb0f3f4 - sha256: 6cbd7ff95232a0efa4c065c2996f04b621ce8a99e07673bcb24b886a4aa1b461 + md5: fee8650462dfee92f4ed50778793ebe8 + sha256: 4ad87e9640ab3508ea2553e9ef0a3adc44210101369afaa5608091575e4cf75e manager: conda name: c-blosc2 optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/c-blosc2-2.4.3-h7a311fb_0.tar.bz2 - version: 2.4.3 + url: https://conda.anaconda.org/conda-forge/linux-64/c-blosc2-2.6.0-hf91038e_0.conda + version: 2.6.0 - category: main dependencies: libgcc-ng: '>=12' - libpng: '>=1.6.37,<1.7.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + libpng: '>=1.6.39,<1.7.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: 4e54cbfc47b8c74c2ecc1e7730d8edce - sha256: 97325af03590d9f9cc7fcb35ad869fa409c51820b0c721bfc9fe7a6d058d0bb0 + md5: e1232042de76d24539a436d37597eb06 + sha256: 1eb913727b54e9aa63c6d9a1177db4e2894cee97c5f26910a2b61899d5ac904f manager: conda name: freetype optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-hca18f0e_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-hca18f0e_1.conda version: 2.12.1 - category: full dependencies: @@ -1244,16 +1255,30 @@ package: libiconv: '>=1.17,<2.0a0' libstdcxx-ng: '>=12' libzlib: '>=1.2.13,<1.3.0a0' - pcre2: '>=10.37,<10.38.0a0' + pcre2: '>=10.40,<10.41.0a0' hash: - md5: 5635a2490d52955dc3192d901434c26d - sha256: 63438f7d450b167beaad8d742259cf95bed9d9fa1510afcb0cb8fc4866081b6b + md5: ed5349aa96776e00b34eccecf4a948fe + sha256: 3cbad3d63cff2dd9ac1dc9cce54fd3d657f3aff53df41bfe5bae9d760562a5af manager: conda name: libglib optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.74.1-h7a41b64_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.74.1-h606061b_1.tar.bz2 version: 2.74.1 +- category: main + dependencies: + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + libxml2: '>=2.9.14,<2.11.0a0' + hash: + md5: 0c52bb2b3b621d684f3beabd4aacaca7 + sha256: 2b52bbb87f875a44ebc599c534f73e027e59f69097a1a8769bcefa8e5bf6c060 + manager: conda + name: libhwloc + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.8.0-h32351e8_1.tar.bz2 + version: 2.8.0 - category: main dependencies: jpeg: '>=9e,<10a' @@ -1274,61 +1299,63 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.4.0-h55922b4_4.tar.bz2 version: 4.4.0 -- category: main +- category: full dependencies: - _openmp_mutex: '>=4.5' - llvm-openmp: '>=14.0.3' - tbb: 2021.* + libgcc-ng: '>=12' + libsqlite: '>=3.40.0,<4.0a0' + libstdcxx-ng: '>=12' + libzlib: '>=1.2.13,<1.3.0a0' + nspr: '>=4.35,<5.0a0' hash: - md5: b9c8f925797a93dbff45e1626b025a6b - sha256: 767318c4f2057822a7ebc238d6065ce12c6ae60df4ab892758adb79b1057ce02 + md5: f8d7f11d19e4cb2207eab159fd4c0152 + sha256: dd848f91478b155d3b3af6e64f494d17573fce7f7ebc154d48332f259b112f72 manager: conda - name: mkl - optional: false + name: nss + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/mkl-2022.1.0-h84fe81f_915.tar.bz2 - version: 2022.1.0 + url: https://conda.anaconda.org/conda-forge/linux-64/nss-3.82-he02c5a1_0.conda + version: '3.82' - category: main dependencies: bzip2: '>=1.0.8,<2.0a0' ld_impl_linux-64: '>=2.36.1' - libffi: '>=3.4.2,<3.5.0a0' + libffi: '>=3.4,<4.0a0' libgcc-ng: '>=12' libnsl: '>=2.0.0,<2.1.0a0' - libsqlite: '>=3.39.2,<4.0a0' + libsqlite: '>=3.40.0,<4.0a0' libuuid: '>=2.32.1,<3.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' ncurses: '>=6.3,<7.0a0' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' readline: '>=8.1.2,<9.0a0' tk: '>=8.6.12,<8.7.0a0' tzdata: '' - xz: '>=5.2.6,<5.3.0a0' + xz: '>=5.2.6,<6.0a0' hash: - md5: 98d77e6496f7516d6b3c508f71c102fc - sha256: 51858b574a043bd0f7225880ecb11624c0545ef04865f848cd5a54c487bc637f + md5: be2a6d78752c2ab85f360ce37d2c64e2 + sha256: 79cc250d8f85da29c7a06116a51db4c9efbd46f62f21daef6cf10e8bccdc0523 manager: conda name: python optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/python-3.10.6-ha86cf86_0_cpython.tar.bz2 - version: 3.10.6 + url: https://conda.anaconda.org/conda-forge/linux-64/python-3.10.8-h4a9ceb5_0_cpython.conda + version: 3.10.8 - category: full dependencies: libgcc-ng: '>=12' - libsqlite: 3.39.4 h753d276_0 - libzlib: '>=1.2.12,<1.3.0a0' + libsqlite: 3.40.0 h753d276_0 + libzlib: '>=1.2.13,<1.3.0a0' ncurses: '>=6.3,<7.0a0' readline: '>=8.1.2,<9.0a0' hash: - md5: 643c271de2dd23ecbd107284426cebc2 - sha256: b0a812bcdc8c622852e4769f66d1db8a2e437a867acf64067ce31f9a0181acc8 + md5: bb11803129cbbb53ed56f9506ff74145 + sha256: baf0e77938e5215653aa6609ff154cb94aeb0a08083ff8dec2d3ba8dd62263e9 manager: conda name: sqlite optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.39.4-h4ff8645_0.tar.bz2 - version: 3.39.4 + url: https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.40.0-h4ff8645_0.tar.bz2 + version: 3.40.0 - category: full dependencies: libgcc-ng: '>=9.3.0' @@ -1382,15 +1409,15 @@ package: version: 0.2.0 - category: full dependencies: - python: '' + python: '>=2.7' hash: - md5: 0da16b293affa6ac31812376f8eb79dd - sha256: a584e690dbb042779af83abaa87a54764278c0a53bf5256ff8f5b0f0061ac283 + md5: 54ca2e08b3220c148a1d8329c2678e02 + sha256: 711602276ae39276cb0faaca6fd0ac851fff0ca17151917569174841ef830bbd manager: conda name: backports optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/backports-1.0-py_2.tar.bz2 + url: https://conda.anaconda.org/conda-forge/noarch/backports-1.0-pyhd8ed1ab_3.conda version: '1.0' - category: main dependencies: @@ -1407,6 +1434,21 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.0.9-h166bdaf_8.tar.bz2 version: 1.0.9 +- category: full + dependencies: + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: e3852120550a5c510af6f3dd3de391b8 + sha256: a8dddc63315c2377dfb31f15e0f7dbb6646ad31555c4e0972e197c80548c44f5 + manager: conda + name: brotli-python + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.0.9-py310hd8f1fbe_8.tar.bz2 + version: 1.0.9 - category: main dependencies: python: '>=3.6' @@ -1423,14 +1465,14 @@ package: dependencies: python: '>=3.7' hash: - md5: f66309b099374af91369e67e84af397d - sha256: 52e7459b3c457e888e2b6a4e6d13ab7f8675999bc12d20a83e34f12591a8771a + md5: fb9addc3db06e56abe03e0e9f21a63e6 + sha256: 5e22af4776700200fab2c1df41a2188ab9cfe90a50c4f388592bb978562c88ec manager: conda name: certifi optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/certifi-2022.9.24-pyhd8ed1ab_0.tar.bz2 - version: 2022.9.24 + url: https://conda.anaconda.org/conda-forge/noarch/certifi-2022.12.7-pyhd8ed1ab_0.conda + version: 2022.12.7 - category: dev dependencies: python: '>=3.6' @@ -1492,6 +1534,21 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.11.0-pyhd8ed1ab_0.tar.bz2 version: 0.11.0 +- category: full + dependencies: + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 0843eb6e875d2eb710859942d8880a16 + sha256: 5c1f5da917fd4a03c445e90d85d3f8a6be09babc73a3c63d3c4c155990c4fea3 + manager: conda + name: debugpy + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.6.4-py310hd8f1fbe_0.conda + version: 1.6.4 - category: full dependencies: python: '>=3.5' @@ -1544,14 +1601,14 @@ package: dependencies: python: '>=3.7' hash: - md5: da409b864dc21631820c81973df42587 - sha256: 201c07a4e0489f864ce25b5f1b132f672bee7647c21f65f9a273d710c4163ebd + md5: e0734d1f12de77f9daca98bda3428733 + sha256: abd2795af746b666b93ee42baf4de3ebaad82435b8291b6485325ecbc9d49f56 manager: conda name: exceptiongroup optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.0.0-pyhd8ed1ab_0.tar.bz2 - version: 1.0.0 + url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.0.4-pyhd8ed1ab_0.tar.bz2 + version: 1.0.4 - category: full dependencies: python: '>=2.7' @@ -1580,14 +1637,14 @@ package: dependencies: python: '>=3.6' hash: - md5: f93822cba5c20161560661988a88f2c0 - sha256: f56157ce4b55ef46a4fa4fe875703468e362b983099f864b740fd99aa80bbdbb + md5: 6d5e56de2e65da7aa35fd10131226efa + sha256: 251e79241eadab363eeaaf20f118423571e1a90ef351ae78e1c4574c53c8526c manager: conda name: flit-core optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/flit-core-3.7.1-pyhd8ed1ab_0.tar.bz2 - version: 3.7.1 + url: https://conda.anaconda.org/conda-forge/noarch/flit-core-3.8.0-pyhd8ed1ab_0.tar.bz2 + version: 3.8.0 - category: full dependencies: expat: '>=2.4.9,<3.0a0' @@ -1608,14 +1665,14 @@ package: dependencies: python: '>=3.6' hash: - md5: ee4d78b97e857cb8d845c8fa4c898433 - sha256: 30ab06e5a472d7e1faed5b2189010345ab26be3e98460f5a5362c2651814014a + md5: eb919f2119a6db5d0192f9e9c3711572 + sha256: 1ba0e6a0c6f023753b6766fda092b333485a7c640f1069a64d003570c652bddb manager: conda name: fsspec optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2022.10.0-pyhd8ed1ab_0.tar.bz2 - version: 2022.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2022.11.0-pyhd8ed1ab_0.tar.bz2 + version: 2022.11.0 - category: main dependencies: python: '>=3.8' @@ -1700,6 +1757,35 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_widgets-1.1.1-pyhd8ed1ab_0.tar.bz2 version: 1.1.1 +- category: main + dependencies: + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: ad5647e517ba68e2868ef2e6e6ff7723 + sha256: f56d1772472b90ddda6fd0963a80dcf1960f1277b9653667a9bde62ae125f972 + manager: conda + name: kiwisolver + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.4-py310hbf28c38_1.tar.bz2 + version: 1.4.4 +- category: dev + dependencies: + libgcc-ng: '>=12' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 7c3f704b65f1689d6ba31a79791d2ce1 + sha256: 3e2c4056aba3d239bd2cc81d214dd3b1ef797d632037de34a6383cdf2fb138da + manager: conda + name: lazy-object-proxy + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/lazy-object-proxy-1.8.0-py310h5764c6d_0.tar.bz2 + version: 1.8.0 - category: main dependencies: jpeg: '>=9e,<10a' @@ -1714,18 +1800,6 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.14-h6ed2654_0.tar.bz2 version: '2.14' -- category: main - dependencies: - mkl: '>=2022.1.0,<2023.0a0' - hash: - md5: 85f61af03fd291dae33150ffe89dc09a - sha256: 24e656f13b402b6fceb88df386768445ab9beb657d451a8e5a88d4b3380cf7a4 - manager: conda - name: libblas - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-16_linux64_mkl.tar.bz2 - version: 3.9.0 - category: main dependencies: krb5: '>=1.19.3,<1.20.0a0' @@ -1733,15 +1807,15 @@ package: libnghttp2: '>=1.47.0,<2.0a0' libssh2: '>=1.10.0,<2.0a0' libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' hash: - md5: 534f77fccccaa2266af6f2a3d35af2ce - sha256: a1ac376145cf0256c11a337a0b36db0ad28f9e1010c11b978fac44c38eb030e2 + md5: fdca8cd67ec2676f90a70ac73a32538b + sha256: 485249c8cf7c2bd67d8308f7d1fccbe64e54334ad6cc73168d665eed824ca3bc manager: conda name: libcurl optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libcurl-7.86.0-h2283fc2_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/libcurl-7.86.0-h2283fc2_1.tar.bz2 version: 7.86.0 - category: full dependencies: @@ -1765,17 +1839,33 @@ package: krb5: '>=1.19.3,<1.20.0a0' libgcc-ng: '>=12' libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' - readline: '>=8.1.2,<9.0a0' + openssl: '>=3.0.7,<4.0a0' hash: - md5: c194811a2d160ef3210218ee508b6075 - sha256: 8bd0bb731081cb5132928279f70b592733202f579eda503b38da15b6bdf5e61d + md5: e1389a8d9a907133b3e6483c2807d243 + sha256: 3cc63d051ff00ed82b71df43cb431cff6c8a50be0b5f208f9588a318e56643f5 manager: conda name: libpq optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libpq-14.5-he2d8382_1.tar.bz2 - version: '14.5' + url: https://conda.anaconda.org/conda-forge/linux-64/libpq-15.1-h67c24c5_1.conda + version: '15.1' +- category: main + dependencies: + libgcc-ng: '>=12' + libllvm11: '>=11.1.0,<11.2.0a0' + libstdcxx-ng: '>=12' + libzlib: '>=1.2.13,<1.3.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 18c28e036ae9c5366c56ecd0c875a108 + sha256: 9215e71d019f1b99f687700fe00dc5d4fba9edc9a482ce5c8aa321d62772a479 + manager: conda + name: llvmlite + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/llvmlite-0.39.1-py310h58363a5_1.tar.bz2 + version: 0.39.1 - category: main dependencies: python: '>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*' @@ -1788,6 +1878,20 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2 version: 1.0.0 +- category: main + dependencies: + libgcc-ng: '>=12' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 2d7028ea2a77f909931e1a173d952261 + sha256: 05a217ff2eea3fb0bada54f4c7c8efe5eb35e1ad7d142d662b364c686ff80da6 + manager: conda + name: markupsafe + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.1-py310h5764c6d_2.tar.bz2 + version: 2.1.1 - category: dev dependencies: python: '>=3.6' @@ -1812,6 +1916,21 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/mistune-2.0.4-pyhd8ed1ab_0.tar.bz2 version: 2.0.4 +- category: main + dependencies: + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 1fa34c9e9be72b7e4c3c9b95017463a3 + sha256: 7878b37c7a97c14d01745f72b33921fbdb46617932bed8c791803129f9fae8a9 + manager: conda + name: msgpack-python + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/msgpack-python-1.0.4-py310hbf28c38_1.tar.bz2 + version: 1.0.4 - category: main dependencies: python: '' @@ -1840,30 +1959,14 @@ package: dependencies: python: '>=3.8' hash: - md5: 1b74438a7270b1e2cbd3de9dba18ebb6 - sha256: eda4b0dba46c72770bc410c794f4da62509623a24c12b9805954828278915dc7 + md5: bb45ff9deddb045331fd039949f39650 + sha256: a8e3531fdb6f9acfde885dd94c8639c020013215dab98ff4ed82db7aa745277a manager: conda name: networkx optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/networkx-2.8.7-pyhd8ed1ab_0.tar.bz2 - version: 2.8.7 -- category: full - dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - libzlib: '>=1.2.11,<1.3.0a0' - nspr: '>=4.32,<5.0a0' - sqlite: '>=3.38.5,<4.0a0' - hash: - md5: ab3df39f96742e6f1a9878b09274c1dc - sha256: 6dc675619b9a156641eeb898acf810f620bca5f1af1ced5508a6c7b7ff3e7306 - manager: conda - name: nss - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/nss-3.78-h2350873_0.tar.bz2 - version: '3.78' + url: https://conda.anaconda.org/conda-forge/noarch/networkx-2.8.8-pyhd8ed1ab_0.tar.bz2 + version: 2.8.8 - category: main dependencies: libgcc-ng: '>=12' @@ -1880,6 +1983,18 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.0-h7d73246_1.tar.bz2 version: 2.5.0 +- category: main + dependencies: + python: '>=3.7' + hash: + md5: 0e8e1bd93998978fc3125522266d12db + sha256: 163f26e55246c506a75551ca01f35c7d4d533aee6db5c4cf2d598ae253e956b8 + manager: conda + name: packaging + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/packaging-22.0-pyhd8ed1ab_0.conda + version: '22.0' - category: full dependencies: python: '!=3.0,!=3.1,!=3.2,!=3.3' @@ -1932,14 +2047,14 @@ package: dependencies: python: '>=3.7' hash: - md5: 2fb3f88922e7aec26ba652fcdfe13950 - sha256: a46843e317318405a8c66b640e7ad0c95d2f536918faa4f36cdfcda852000bcd + md5: b1b2ab02d1ece1719f7fa002ad4bc70d + sha256: 84f269198487823eaf5dbd1f1dd62f2f04c5dd98b66bb7e043cc6478dbf04f2e manager: conda name: platformdirs optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-2.5.2-pyhd8ed1ab_1.tar.bz2 - version: 2.5.2 + url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-2.6.0-pyhd8ed1ab_0.conda + version: 2.6.0 - category: dev dependencies: python: '>=3.8' @@ -1964,6 +2079,20 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.15.0-pyhd8ed1ab_0.tar.bz2 version: 0.15.0 +- category: main + dependencies: + libgcc-ng: '>=12' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: c3c55664e9becc48e6a652e2b641961f + sha256: efaf186bc3be5074ff44a25372ec0f21564c0a8f9cd3ed3e8378389745999be5 + manager: conda + name: psutil + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/psutil-5.9.4-py310h5764c6d_0.tar.bz2 + version: 5.9.4 - category: full dependencies: python: '' @@ -2012,12 +2141,26 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.0.9-pyhd8ed1ab_0.tar.bz2 version: 3.0.9 -- category: main +- category: full dependencies: - __unix: '' - python: '>=3.8' - hash: - md5: 2a7de29fb590ca14b5243c4c812c8025 + libgcc-ng: '>=12' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 8e15da65c2d22cadcef42726916b5eeb + sha256: 124d700b5ffb923660fbfca089482dc9cdc35cfe7bbbb0a059d7d29aa7b709bf + manager: conda + name: pyrsistent + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/pyrsistent-0.19.2-py310h5764c6d_0.tar.bz2 + version: 0.19.2 +- category: main + dependencies: + __unix: '' + python: '>=3.8' + hash: + md5: 2a7de29fb590ca14b5243c4c812c8025 sha256: a42f826e958a8d22e65b3394f437af7332610e43ee313393d1cf143f0a2d274b manager: conda name: pysocks @@ -2039,28 +2182,48 @@ package: version: 2.16.2 - category: main dependencies: - python: 3.10.* + python: '>=3.6' hash: - md5: 9e7160cd0d865e98f6803f1fe15c8b61 - sha256: e7e52aaec7cba6e17e45d731f9d38ede007aea0d72aee66670ab71016f5783ed + md5: b1f26ad83328e486910ef7f6e81dc061 + sha256: d82fa6df6707afaf7e9f7034c810ced6e5c2b313ce9bf49eeee613b0711da0ab manager: conda - name: python_abi + name: pytz optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.10-2_cp310.tar.bz2 - version: '3.10' + url: https://conda.anaconda.org/conda-forge/noarch/pytz-2022.6-pyhd8ed1ab_0.tar.bz2 + version: '2022.6' - category: main dependencies: - python: '>=3.6' + libgcc-ng: '>=12' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + yaml: '>=0.2.5,<0.3.0a0' hash: - md5: 565724d09157870f0e469b1a0a172a6d - sha256: 0fc68b442d74920858fe7e4760c10efb22610fb27f28d2bfe98296b7ef2078f0 + md5: 9e68d2ff6d98737c855b65f48dd3c597 + sha256: 602d68ee4544274b12fb6d13b8d5fc61d0ebbee190292c21d8be10a4e68185bd manager: conda - name: pytz + name: pyyaml optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytz-2022.5-pyhd8ed1ab_0.tar.bz2 - version: '2022.5' + url: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0-py310h5764c6d_5.tar.bz2 + version: '6.0' +- category: full + dependencies: + libgcc-ng: '>=12' + libsodium: '>=1.0.18,<1.0.19.0a0' + libstdcxx-ng: '>=12' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + zeromq: '>=4.3.4,<4.4.0a0' + hash: + md5: 527a1e6cb07b5c19563131af9fca3835 + sha256: db9849f6cbf4f4377dd79da1354b0adf795aea6536cdaff9e034d8b25e721def + manager: conda + name: pyzmq + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-24.0.1-py310h330234f_1.tar.bz2 + version: 24.0.1 - category: full dependencies: python: '>=3.6' @@ -2077,14 +2240,14 @@ package: dependencies: python: '>=3.7' hash: - md5: 462466739c786f85f9ed555f87099fe1 - sha256: 8c1e25e2aae26973bbfe074dcb34a8b4904357048f4e83cb21e8843ee36c1fd5 + md5: cfb8dc4d9d285ca5fb1177b9dd450e33 + sha256: 55521371cfbd1bc046c362a108f9b8e294c35604896757659c6fb6765b6955c2 manager: conda name: setuptools optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/setuptools-65.5.0-pyhd8ed1ab_0.tar.bz2 - version: 65.5.0 + url: https://conda.anaconda.org/conda-forge/noarch/setuptools-65.5.1-pyhd8ed1ab_0.tar.bz2 + version: 65.5.1 - category: main dependencies: python: '' @@ -2133,6 +2296,20 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.3.2.post1-pyhd8ed1ab_0.tar.bz2 version: 2.3.2.post1 +- category: main + dependencies: + libgcc-ng: '>=12' + libhwloc: '>=2.8.0,<2.8.1.0a0' + libstdcxx-ng: '>=12' + hash: + md5: 1a272773743a97aa044fd5bcdac2138a + sha256: 27d76fe5972b1a21ba0d3fa83764a76f20c92b42dc58d045c3f02d78056de05c + manager: conda + name: tbb + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/tbb-2021.7.0-h924138e_1.conda + version: 2021.7.0 - category: main dependencies: python: '>=3.6' @@ -2205,18 +2382,32 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/toolz-0.12.0-pyhd8ed1ab_0.tar.bz2 version: 0.12.0 +- category: main + dependencies: + libgcc-ng: '>=10.3.0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 8a5770e6392d29d99c9bc9c3635bba60 + sha256: 67347d4755ffbb969e581f9c0d7210490142aa7cfec15ff421b499c6dcf162aa + manager: conda + name: tornado + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.1-py310h5764c6d_3.tar.bz2 + version: '6.1' - category: full dependencies: python: '>=3.7' hash: - md5: 63650c013737b2801811bcd94524e863 - sha256: c5a333fa75f4d9ef577631a0ec6a3eb9d3538b5bc873286679cb3851419bf55b + md5: 96a8c913bcd01dd9ab7360290aeb4c42 + sha256: db45ac7c39fbc710ae0c178ac43eee642811f408be7778d1d5c4156618310cbe manager: conda name: traitlets optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.5.0-pyhd8ed1ab_0.tar.bz2 - version: 5.5.0 + url: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.7.1-pyhd8ed1ab_0.conda + version: 5.7.1 - category: dev dependencies: python: '>=3' @@ -2241,6 +2432,20 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.4.0-pyha770c72_0.tar.bz2 version: 4.4.0 +- category: main + dependencies: + libgcc-ng: '>=12' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: e972c5a1f472561cf4a91962cb01f4b4 + sha256: 332732c2b87445c3e071c86cacfbc72a99ba4ea55d0b9d65416894253782ca02 + manager: conda + name: unicodedata2 + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-15.0.0-py310h5764c6d_0.tar.bz2 + version: 15.0.0 - category: main dependencies: python: '>=3.6' @@ -2269,26 +2474,40 @@ package: dependencies: python: '>=3.7' hash: - md5: f3b20ec2c97bad7104679b1d62eb7a11 - sha256: 911ac2b5c2bbe602c806ded8e5a40bd132e99ffa1dda10e27e6bc046c962fed6 + md5: 5309fca1777cfdd2d7ab582edb8cc41a + sha256: cf252c7ce64ab21e6dac77f070046f7523a9027059ab50856a17c3178f8c9187 manager: conda name: websocket-client optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.4.1-pyhd8ed1ab_0.tar.bz2 - version: 1.4.1 + url: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.4.2-pyhd8ed1ab_0.tar.bz2 + version: 1.4.2 - category: main dependencies: - python: '!=3.0,!=3.1,!=3.2,!=3.3,!=3.4' + python: '>=3.7' hash: - md5: 1ca02aaf78d9c70d9a81a3bed5752022 - sha256: aede66e6370f3b936164a703e48362f9080d7162234058fb2ee63cc84d528afc + md5: c829cfb8cb826acb9de0ac1a2df0a940 + sha256: bd4f11ff075ff251ade9f57686f31473e25be46ab282d9603f551401250f9f44 manager: conda name: wheel optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.37.1-pyhd8ed1ab_0.tar.bz2 - version: 0.37.1 + url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.38.4-pyhd8ed1ab_0.tar.bz2 + version: 0.38.4 +- category: dev + dependencies: + libgcc-ng: '>=12' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 49c8664940fe2f6124193ba3cc32ca20 + sha256: a24e644d8a07fad83045f35bf0e0088f813257a45b429cbc43e59394e07d2f62 + manager: conda + name: wrapt + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.14.1-py310h5764c6d_1.tar.bz2 + version: 1.14.1 - category: full dependencies: libgcc-ng: '>=9.3.0' @@ -2321,14 +2540,14 @@ package: dependencies: python: '>=3.7' hash: - md5: cd4eb48ebde7de61f92252979aab515c - sha256: 942b80980ae3db52f032720c82c2d4fb3f463b228762fc2d6a2684d6438fcc29 + md5: 09b5b885341697137879a4f039a9e5a1 + sha256: d98e41fe62edde9d979d79114f8cffa992ca86f4e7428c75e3c8b8fd6ab040a3 manager: conda name: zipp optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.10.0-pyhd8ed1ab_0.tar.bz2 - version: 3.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.11.0-pyhd8ed1ab_0.conda + version: 3.11.0 - category: full dependencies: python: '>=3.10,<3.11.0a0' @@ -2359,19 +2578,35 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/anyio-3.6.2-pyhd8ed1ab_0.tar.bz2 version: 3.6.2 +- category: dev + dependencies: + lazy-object-proxy: '>=1.4.0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + setuptools: '>=20.0' + wrapt: '>=1.11,<2' + hash: + md5: 02ef25c493a7c0854c20443cf5a92c8e + sha256: cbb9a93de00b08ff8867bb14f6f2d51a7c4c08681dd37f6676658325bd3067bd + manager: conda + name: astroid + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/astroid-2.12.13-py310hff52083_0.conda + version: 2.12.13 - category: full dependencies: python: '>=3.5' six: '' hash: - md5: 2e19652c1276ecec6477db3c60ca26c8 - sha256: fc97e082f049973612638b00280cbdd1aa839363b3be2b58e00b90e63657299d + md5: bf7f54dd0f25c3f06ecb82a07341841a + sha256: 7ed530efddd47a96c11197906b4008405b90e3bc2f4e0df722a36e0e6103fd9c manager: conda name: asttokens optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.1.0-pyhd8ed1ab_0.tar.bz2 - version: 2.1.0 + url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.2.1-pyhd8ed1ab_0.conda + version: 2.2.1 - category: full dependencies: backports: '' @@ -2401,19 +2636,20 @@ package: version: 4.11.1 - category: full dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 + packaging: '' + python: '>=3.6' + setuptools: '' + six: '>=1.9.0' + webencodings: '' hash: - md5: e3852120550a5c510af6f3dd3de391b8 - sha256: a8dddc63315c2377dfb31f15e0f7dbb6646ad31555c4e0972e197c80548c44f5 + md5: 1f5151d37e4a2b1137f81c89a3a769f2 + sha256: b85dd43a40efd13c860086365d181eb9bc64cc757c36a05edc7544c3fa622bf8 manager: conda - name: brotli-python + name: bleach optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.0.9-py310hd8f1fbe_8.tar.bz2 - version: 1.0.9 + url: https://conda.anaconda.org/conda-forge/noarch/bleach-5.0.1-pyhd8ed1ab_0.tar.bz2 + version: 5.0.1 - category: full dependencies: brotli: '>=1.0.9,<2.0a0' @@ -2486,20 +2722,20 @@ package: - category: full dependencies: bzip2: '>=1.0.8,<2.0a0' - libcurl: '>=7.82.0,<8.0a0' - libgcc-ng: '>=10.3.0' + libcurl: '>=7.86.0,<8.0a0' + libgcc-ng: '>=12' libgfortran-ng: '' - libgfortran5: '>=10.3.0' - libzlib: '>=1.2.11,<1.3.0a0' + libgfortran5: '>=10.4.0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: ebc04a148d7204bb428f8633b89fd3dd - sha256: ab51263a83b7138ed8f132d78381189cc4f9f79c95230634f39311759dbbaf4c + md5: 8c57a9adbafd87f5eff842abde599cb4 + sha256: 6409d15f09ae1a1673c971c8f45fc87272d1af569d027efbe16b689a1a8afd0d manager: conda name: cfitsio optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/cfitsio-4.1.0-hd9d235c_0.tar.bz2 - version: 4.1.0 + url: https://conda.anaconda.org/conda-forge/linux-64/cfitsio-4.2.0-hd9d235c_0.conda + version: 4.2.0 - category: full dependencies: click: '>=3.0' @@ -2526,6 +2762,19 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/cligj-0.7.2-pyhd8ed1ab_1.tar.bz2 version: 0.7.2 +- category: full + dependencies: + python: '>=3.6' + traitlets: '>=5.3' + hash: + md5: 3c78af4752bb1600ebe5e83ef4588eaa + sha256: b33f5e5eb2bedefc3db622dd0b2f4ea67b621080153913eb22486aac78b6f54f + manager: conda + name: comm + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/comm-0.1.2-pyhd8ed1ab_0.conda + version: 0.1.2 - category: dev dependencies: libgcc-ng: '>=12' @@ -2544,19 +2793,19 @@ package: - category: full dependencies: krb5: '>=1.19.3,<1.20.0a0' - libcurl: 7.86.0 h2283fc2_0 + libcurl: 7.86.0 h2283fc2_1 libgcc-ng: '>=12' libssh2: '>=1.10.0,<2.0a0' libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' hash: - md5: 3911f6771bd388a6fdc450315cc3042a - sha256: 0016a6f10858bbb7c831cac90ae087ce7656967e81ee1030f3b3d485f4bd20f4 + md5: 9d4149760567cb232691cce2d8ccc21f + sha256: 9c7de3c405c8195a02dd829f4b9b1a8a14b5bca4670b8e6a05554df63d0b92af manager: conda name: curl optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/curl-7.86.0-h2283fc2_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/curl-7.86.0-h2283fc2_1.tar.bz2 version: 7.86.0 - category: main dependencies: @@ -2573,21 +2822,23 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-0.12.0-py310h5764c6d_1.tar.bz2 version: 0.12.0 -- category: full +- category: main dependencies: + brotli: '' libgcc-ng: '>=12' - libstdcxx-ng: '>=12' + munkres: '' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 + unicodedata2: '>=14.0.0' hash: - md5: fbd74abed841f37a5be4a2f23d7a0afc - sha256: 01eb25ff493dc617928899c9ad1efef003ed8c7905530460b476582ce293dd34 + md5: 12ebe92a8a578bc903bd844744f4d040 + sha256: 28e21fe765f07219c7f086b0d3bf66305ba2a457d5c248bcc92ee53d8b0f393d manager: conda - name: debugpy - optional: true + name: fonttools + optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.6.3-py310hd8f1fbe_1.tar.bz2 - version: 1.6.3 + url: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.38.0-py310h5764c6d_1.tar.bz2 + version: 4.38.0 - category: main dependencies: libcurl: '>=7.83.1,<8.0a0' @@ -2611,53 +2862,66 @@ package: python: '>=3.8' zipp: '>=0.5' hash: - md5: ec069c4db6a0ad84107bac5da62819d2 - sha256: cea7928e6949c3ecd15e56ee8fa4e54efa8bb82738b8264e0489847e86e022c8 + md5: 46a62e35b9ae515cf0e49afc7fe0e7ef + sha256: 6e5e45c3cc3ba9fc854cd80960d775ff6c042e1f0b1351ca2e294b1b9d987d8c manager: conda name: importlib-metadata optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-5.0.0-pyha770c72_1.tar.bz2 - version: 5.0.0 + url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-5.1.0-pyha770c72_0.conda + version: 5.1.0 - category: full dependencies: python: '>=3.6' zipp: '>=3.1.0' hash: - md5: eb521efe7f5550de7573bc1629b74a05 - sha256: d4929ef6dd4ba4222dc2bd737c365833b896a3ee89f9e5142df763799b5ca944 + md5: db5d88c84c769798bf4b2f6776446b32 + sha256: 89347f8b0bcc0fcc31620cc5745f1cb34e71b9f7692a0384cb411090daea192f manager: conda name: importlib_resources optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.10.0-pyhd8ed1ab_0.tar.bz2 - version: 5.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.10.1-pyhd8ed1ab_0.conda + version: 5.10.1 - category: dev dependencies: python: '>=3.6,<4.0' setuptools: '' hash: - md5: 83df9ffefe1cc01d9e60405bf871bfdb - sha256: b9c74f448872cea7ecc10c6f3ec718427ec9632d446e102ef9525f23c172cf5a + md5: 9ee052b5a12b65ecce7a854a38675106 + sha256: 8288fe6d26deaf90b720f0c3f6e5b908d750dec6fb5a85ca05886030e1478667 manager: conda name: isort optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/isort-5.10.1-pyhd8ed1ab_0.tar.bz2 - version: 5.10.1 + url: https://conda.anaconda.org/conda-forge/noarch/isort-5.11.1-pyhd8ed1ab_0.conda + version: 5.11.1 - category: full dependencies: parso: '>=0.8.0,<0.9.0' python: '>=3.6' hash: - md5: 0e613217e78777045199372a2b0d5bd2 - sha256: 1c7150635f00455037bbede8a6c0086531c45e8e257ff6eaaf7aa134ccd20767 + md5: b5e695ef9c3f0d27d6cd96bf5adc9e07 + sha256: abe63ae6e1b13f83500608d94004cb8d485b264083511d77f79253e775cd546c manager: conda name: jedi optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.18.1-pyhd8ed1ab_2.tar.bz2 - version: 0.18.1 + url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.18.2-pyhd8ed1ab_0.conda + version: 0.18.2 +- category: main + dependencies: + markupsafe: '>=2.0' + python: '>=3.7' + hash: + md5: c8490ed5c70966d232fdd389d0dbed37 + sha256: b045faba7130ab263db6a8fdc96b1a3de5fcf85c4a607c5f11a49e76851500b5 + manager: conda + name: jinja2 + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2 + version: 3.1.2 - category: main dependencies: python: '>=3.6' @@ -2673,189 +2937,92 @@ package: version: 1.2.0 - category: full dependencies: + platformdirs: '>=2.5' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 - traitlets: '' + traitlets: '>=5.3' hash: - md5: 3bf7f2f935f70b49f53a5230d478e971 - sha256: b1b10cdba35d06c7af287f825b49667cae77156b0f0c1e1dd5da0e62ad1a1b10 + md5: 26cf0b9e76519f4ba1d6b126693a89dc + sha256: e6a6ff5cfd4cc88c7a9591c0b325b72b6d1911fa873c866bf16842c5eabd4de4 manager: conda name: jupyter_core optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/jupyter_core-4.11.1-py310hff52083_1.tar.bz2 - version: 4.11.1 + url: https://conda.anaconda.org/conda-forge/linux-64/jupyter_core-5.1.0-py310hff52083_0.conda + version: 5.1.0 +- category: full + dependencies: + python: '>=3.6' + traitlets: '' + hash: + md5: b21613793fcc81d944c76c9f2864a7de + sha256: aa091b88aec55bfa2d9207028d8cdc689b9efb090ae27b99557e93c675be2f3c + manager: conda + name: matplotlib-inline + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.6-pyhd8ed1ab_0.tar.bz2 + version: 0.1.6 - category: main dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 + _openmp_mutex: '>=4.5' + llvm-openmp: '>=15.0.6' + tbb: 2021.* hash: - md5: ad5647e517ba68e2868ef2e6e6ff7723 - sha256: f56d1772472b90ddda6fd0963a80dcf1960f1277b9653667a9bde62ae125f972 + md5: a7ce56d5757f5b57e7daabe703ade5bb + sha256: 5322750d5e96ff5d96b1457db5fb6b10300f2bc4030545e940e17b57c4e96d00 manager: conda - name: kiwisolver + name: mkl optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.4-py310hbf28c38_1.tar.bz2 - version: 1.4.4 -- category: dev + url: https://conda.anaconda.org/conda-forge/linux-64/mkl-2022.2.1-h84fe81f_16997.conda + version: 2022.2.1 +- category: full dependencies: - libgcc-ng: '>=12' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 + python: '' + setuptools: '>=17.1' + six: '' hash: - md5: 7c3f704b65f1689d6ba31a79791d2ce1 - sha256: 3e2c4056aba3d239bd2cc81d214dd3b1ef797d632037de34a6383cdf2fb138da + md5: 31d9e9be500e25ff0050bc9f57a6bcd7 + sha256: bd885bec8b012abf0c5ca5d6225caf0e88e5b2b0af8fa5a4e4d339604d3e9cd1 manager: conda - name: lazy-object-proxy + name: munch optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/lazy-object-proxy-1.8.0-py310h5764c6d_0.tar.bz2 - version: 1.8.0 + url: https://conda.anaconda.org/conda-forge/noarch/munch-2.5.0-py_0.tar.bz2 + version: 2.5.0 - category: main dependencies: - libblas: 3.9.0 16_linux64_mkl + locket: '' + python: '>=3.7' + toolz: '' hash: - md5: 361bf757b95488de76c4f123805742d3 - sha256: 892ba10508f22310ccfe748df1fd3b6c7f20e7b6f6b79e69ed337863551c1bd8 + md5: af8c82d121e63082926062d61d9abb54 + sha256: 0bba1886af3b9aaa398e237dc481c1afb06289b81c5434bf51d089b553f0035b manager: conda - name: libcblas + name: partd optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-16_linux64_mkl.tar.bz2 - version: 3.9.0 -- category: main + url: https://conda.anaconda.org/conda-forge/noarch/partd-1.3.0-pyhd8ed1ab_0.tar.bz2 + version: 1.3.0 +- category: full dependencies: - libblas: 3.9.0 16_linux64_mkl + ptyprocess: '>=0.5' + python: '' hash: - md5: a2f166748917d6d6e4707841ca1f519e - sha256: d6201f860b2d76ed59027e69c2bbad6d1cb211a215ec9705cc487cde488fa1fa + md5: 330448ce4403cc74990ac07c555942a1 + sha256: 07706c0417ead94f359ca7278f65452d3c396448777aba1da6a11fc351bdca9a manager: conda - name: liblapack - optional: false + name: pexpect + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-16_linux64_mkl.tar.bz2 - version: 3.9.0 + url: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.8.0-pyh1a96a4e_2.tar.bz2 + version: 4.8.0 - category: main dependencies: - libgcc-ng: '>=12' - libllvm11: '>=11.1.0,<11.2.0a0' - libstdcxx-ng: '>=12' - libzlib: '>=1.2.13,<1.3.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: 18c28e036ae9c5366c56ecd0c875a108 - sha256: 9215e71d019f1b99f687700fe00dc5d4fba9edc9a482ce5c8aa321d62772a479 - manager: conda - name: llvmlite - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/llvmlite-0.39.1-py310h58363a5_1.tar.bz2 - version: 0.39.1 -- category: main - dependencies: - libgcc-ng: '>=12' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: 2d7028ea2a77f909931e1a173d952261 - sha256: 05a217ff2eea3fb0bada54f4c7c8efe5eb35e1ad7d142d662b364c686ff80da6 - manager: conda - name: markupsafe - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.1-py310h5764c6d_2.tar.bz2 - version: 2.1.1 -- category: full - dependencies: - python: '>=3.6' - traitlets: '' - hash: - md5: b21613793fcc81d944c76c9f2864a7de - sha256: aa091b88aec55bfa2d9207028d8cdc689b9efb090ae27b99557e93c675be2f3c - manager: conda - name: matplotlib-inline - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.6-pyhd8ed1ab_0.tar.bz2 - version: 0.1.6 -- category: main - dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: 1fa34c9e9be72b7e4c3c9b95017463a3 - sha256: 7878b37c7a97c14d01745f72b33921fbdb46617932bed8c791803129f9fae8a9 - manager: conda - name: msgpack-python - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/msgpack-python-1.0.4-py310hbf28c38_1.tar.bz2 - version: 1.0.4 -- category: full - dependencies: - python: '' - setuptools: '>=17.1' - six: '' - hash: - md5: 31d9e9be500e25ff0050bc9f57a6bcd7 - sha256: bd885bec8b012abf0c5ca5d6225caf0e88e5b2b0af8fa5a4e4d339604d3e9cd1 - manager: conda - name: munch - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/munch-2.5.0-py_0.tar.bz2 - version: 2.5.0 -- category: main - dependencies: - pyparsing: '>=2.0.2,!=3.0.5' - python: '>=3.6' - hash: - md5: 71f1ab2de48613876becddd496371c85 - sha256: 8322a9e93e2e09fbf2103f0d37c9287b7b97387125abadd6db26686084893540 - manager: conda - name: packaging - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/packaging-21.3-pyhd8ed1ab_0.tar.bz2 - version: '21.3' -- category: main - dependencies: - locket: '' - python: '>=3.7' - toolz: '' - hash: - md5: af8c82d121e63082926062d61d9abb54 - sha256: 0bba1886af3b9aaa398e237dc481c1afb06289b81c5434bf51d089b553f0035b - manager: conda - name: partd - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/partd-1.3.0-pyhd8ed1ab_0.tar.bz2 - version: 1.3.0 -- category: full - dependencies: - ptyprocess: '>=0.5' - python: '' - hash: - md5: 330448ce4403cc74990ac07c555942a1 - sha256: 07706c0417ead94f359ca7278f65452d3c396448777aba1da6a11fc351bdca9a - manager: conda - name: pexpect - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.8.0-pyh1a96a4e_2.tar.bz2 - version: 4.8.0 -- category: main - dependencies: - freetype: '>=2.12.1,<3.0a0' - jpeg: '>=9e,<10a' - lcms2: '>=2.12,<3.0a0' + freetype: '>=2.12.1,<3.0a0' + jpeg: '>=9e,<10a' + lcms2: '>=2.12,<3.0a0' libgcc-ng: '>=12' libtiff: '>=4.4.0,<5.0a0' libwebp-base: '>=1.2.4,<2.0a0' @@ -2880,48 +3047,48 @@ package: setuptools: '' wheel: '' hash: - md5: 6f4c6de9fed2a9bd8043283611b09587 - sha256: 9300dd4a4ca6ced6ebaf455e7be43aeb47e1d764de1c3f448d9dc98ab3b32942 + md5: da66f2851b9836d3a7c5190082a45f7d + sha256: 7a86b2427abbf5cf695da192ba1c03130115f157297e7bfde65f0a18a345a7bc manager: conda name: pip optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/pip-22.3-pyhd8ed1ab_0.tar.bz2 - version: '22.3' + url: https://conda.anaconda.org/conda-forge/noarch/pip-22.3.1-pyhd8ed1ab_0.tar.bz2 + version: 22.3.1 - category: full dependencies: python: '>=3.6' tenacity: '>=6.2.0' hash: - md5: 71aef86c572ad0ee49dba9af238d9c13 - sha256: b41f31aa81bff52d1d473a9f4a45c5600f36b8b7f259a8a572467d1836bad59a + md5: e594a3343150c5c470902d46e1723b45 + sha256: 60de0401c5bd29db1d3112cc56919010d89cfd38239f122c51df78ea5fd82e7e manager: conda name: plotly optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/plotly-5.11.0-pyhd8ed1ab_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/noarch/plotly-5.11.0-pyhd8ed1ab_1.conda version: 5.11.0 - category: full dependencies: krb5: '>=1.19.3,<1.20.0a0' libgcc-ng: '>=12' - libpq: 14.5 he2d8382_1 + libpq: 15.1 h67c24c5_1 libxml2: '>=2.10.3,<2.11.0a0' libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' readline: '>=8.1.2,<9.0a0' tzcode: '' tzdata: '' zlib: '' hash: - md5: 39e6de6153ca4dca9081a2a4dc863102 - sha256: 8fb53481e1d57b3300ff0c581d0e67fc2339dc0ed97677da62c322a63525aeb3 + md5: 81cfa38baa2a8741f0566f8815fef4e3 + sha256: 0a4b020f1bc08f72e4669b3f8bc26ef760a744122983d18694ed891878f6da07 manager: conda name: postgresql optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/postgresql-14.5-ha105346_1.tar.bz2 - version: '14.5' + url: https://conda.anaconda.org/conda-forge/linux-64/postgresql-15.1-ha105346_1.conda + version: '15.1' - category: full dependencies: libcurl: '>=7.83.1,<8.0a0' @@ -2939,20 +3106,6 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/proj-9.1.0-h93bde94_0.tar.bz2 version: 9.1.0 -- category: main - dependencies: - libgcc-ng: '>=12' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: 9bfec73f587caed65c74e2219895f723 - sha256: d4dc18b0d0e749e02d7a77aa86db3b3b38b2402fbfad4b1c26163e8a4730cdd4 - manager: conda - name: psutil - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/psutil-5.9.3-py310h5764c6d_1.tar.bz2 - version: 5.9.3 - category: full dependencies: python: '>=3.6' @@ -2966,20 +3119,25 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/pygments-2.13.0-pyhd8ed1ab_0.tar.bz2 version: 2.13.0 -- category: full +- category: dev dependencies: - libgcc-ng: '>=12' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 + attrs: '>=19.2.0' + colorama: '' + exceptiongroup: '' + iniconfig: '' + packaging: '' + pluggy: '>=0.12,<2.0' + python: '>=3.8' + tomli: '>=1.0.0' hash: - md5: 91278079d61d30d5642d35a69df63223 - sha256: f752ceae03f7b5337702cdec23937cbdb952cbeca52413d02b7200fb049c12d6 + md5: ac82c7aebc282e6ac0450fca012ca78c + sha256: 854233dc2d0d64219b7e951ccf49c1f32332c6fc7085ecb62cc18bc1f4e791b0 manager: conda - name: pyrsistent + name: pytest optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pyrsistent-0.18.1-py310h5764c6d_2.tar.bz2 - version: 0.18.1 + url: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.0-pyhd8ed1ab_2.tar.bz2 + version: 7.2.0 - category: main dependencies: python: '>=3.6' @@ -2993,38 +3151,6 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2 version: 2.8.2 -- category: main - dependencies: - libgcc-ng: '>=12' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - yaml: '>=0.2.5,<0.3.0a0' - hash: - md5: 9e68d2ff6d98737c855b65f48dd3c597 - sha256: 602d68ee4544274b12fb6d13b8d5fc61d0ebbee190292c21d8be10a4e68185bd - manager: conda - name: pyyaml - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0-py310h5764c6d_5.tar.bz2 - version: '6.0' -- category: full - dependencies: - libgcc-ng: '>=12' - libsodium: '>=1.0.18,<1.0.19.0a0' - libstdcxx-ng: '>=12' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - zeromq: '>=4.3.4,<4.4.0a0' - hash: - md5: 527a1e6cb07b5c19563131af9fca3835 - sha256: db9849f6cbf4f4377dd79da1354b0adf795aea6536cdaff9e034d8b25e721def - manager: conda - name: pyzmq - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-24.0.1-py310h330234f_1.tar.bz2 - version: 24.0.1 - category: full dependencies: python: '' @@ -3038,6 +3164,21 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/retrying-1.3.3-py_2.tar.bz2 version: 1.3.3 +- category: full + dependencies: + __linux: '' + ptyprocess: '' + python: '>=3.7' + tornado: '>=6.1.0' + hash: + md5: 3788984d535770cad699efaeb6cb3037 + sha256: bce252eb53330a8ba9617caa7a1dc75ce602c8808cf547a8f4d48285901f47c3 + manager: conda + name: terminado + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.1-pyh41d4057_0.conda + version: 0.17.1 - category: full dependencies: python: '>=3.5' @@ -3064,20 +3205,6 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.11.6-pyha770c72_0.tar.bz2 version: 0.11.6 -- category: main - dependencies: - libgcc-ng: '>=10.3.0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: 8a5770e6392d29d99c9bc9c3635bba60 - sha256: 67347d4755ffbb969e581f9c0d7210490142aa7cfec15ff421b499c6dcf162aa - manager: conda - name: tornado - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.1-py310h5764c6d_3.tar.bz2 - version: '6.1' - category: main dependencies: colorama: '' @@ -3103,34 +3230,19 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.4.0-hd8ed1ab_0.tar.bz2 version: 4.4.0 -- category: main - dependencies: - libgcc-ng: '>=12' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: e972c5a1f472561cf4a91962cb01f4b4 - sha256: 332732c2b87445c3e071c86cacfbc72a99ba4ea55d0b9d65416894253782ca02 - manager: conda - name: unicodedata2 - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-15.0.0-py310h5764c6d_0.tar.bz2 - version: 15.0.0 -- category: dev +- category: full dependencies: - libgcc-ng: '>=12' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 + markupsafe: '>=2.1.1' + python: '>=3.7' hash: - md5: 49c8664940fe2f6124193ba3cc32ca20 - sha256: a24e644d8a07fad83045f35bf0e0088f813257a45b429cbc43e59394e07d2f62 + md5: 8e69568592e552919201f730b01a58c2 + sha256: 3bb3d6a98f9e3c6081166d81368e4a0e48fdbfe19e683a957ac344b063c42412 manager: conda - name: wrapt + name: werkzeug optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.14.1-py310h5764c6d_1.tar.bz2 - version: 1.14.1 + url: https://conda.anaconda.org/conda-forge/noarch/werkzeug-2.2.2-pyhd8ed1ab_0.tar.bz2 + version: 2.2.2 - category: full dependencies: icu: '>=70.1,<71.0a0' @@ -3175,69 +3287,37 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py310h5764c6d_3.tar.bz2 version: 21.2.0 -- category: dev +- category: main dependencies: - lazy-object-proxy: '>=1.4.0' + cffi: '>=1.0.0' + libgcc-ng: '>=12' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 - setuptools: '>=20.0' - wrapt: '>=1.11,<2' hash: - md5: e4a79aa4a7ef10ad6b0fb2bf09ab316b - sha256: f8a4bb421ccbbb8741caee8ffbb88ffe80177faa0f3fba92649a9f1a04429f55 + md5: 87669c3468dff637bbd0363bc0f895cf + sha256: a37f9a00170f48e71b67bb4547e8bf352dcee4e4a79a55f087b512022cc64a0d manager: conda - name: astroid - optional: true + name: brotlipy + optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/astroid-2.12.12-py310hff52083_1.tar.bz2 - version: 2.12.12 -- category: full + url: https://conda.anaconda.org/conda-forge/linux-64/brotlipy-0.7.0-py310h5764c6d_1005.tar.bz2 + version: 0.7.0 +- category: main dependencies: - packaging: '' - python: '>=3.6' - setuptools: '' - six: '>=1.9.0' - webencodings: '' + cffi: '>=1.12' + libgcc-ng: '>=12' + openssl: '>=3.0.7,<4.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 hash: - md5: 1f5151d37e4a2b1137f81c89a3a769f2 - sha256: b85dd43a40efd13c860086365d181eb9bc64cc757c36a05edc7544c3fa622bf8 - manager: conda - name: bleach - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/bleach-5.0.1-pyhd8ed1ab_0.tar.bz2 - version: 5.0.1 -- category: main - dependencies: - cffi: '>=1.0.0' - libgcc-ng: '>=12' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: 87669c3468dff637bbd0363bc0f895cf - sha256: a37f9a00170f48e71b67bb4547e8bf352dcee4e4a79a55f087b512022cc64a0d - manager: conda - name: brotlipy - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/brotlipy-0.7.0-py310h5764c6d_1005.tar.bz2 - version: 0.7.0 -- category: main - dependencies: - cffi: '>=1.12' - libgcc-ng: '>=12' - openssl: '>=3.0.5,<4.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: 848888a7e857e9f533a94b0cee6ecd4b - sha256: a4d217a67fdb1a06b73e8828bb62963db92a29001c9ad49a5f2434bf992009b7 + md5: f999dcc21fe27ad97a8afcfa590daa14 + sha256: 64a31aa5153e977e58256b098044b61ef903885b5b8f7ed807d066d1ceed2244 manager: conda name: cryptography optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/cryptography-38.0.2-py310h600f1e7_2.tar.bz2 - version: 38.0.2 + url: https://conda.anaconda.org/conda-forge/linux-64/cryptography-38.0.4-py310h600f1e7_0.conda + version: 38.0.4 - category: main dependencies: cloudpickle: '>=1.1.1' @@ -3256,23 +3336,23 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2022.10.0-pyhd8ed1ab_2.tar.bz2 version: 2022.10.0 -- category: main +- category: full dependencies: - brotli: '' - libgcc-ng: '>=12' - munkres: '' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - unicodedata2: '>=14.0.0' + click: '>=8.0' + importlib-metadata: '>=3.6.0' + itsdangerous: '>=2.0' + jinja2: '>=3.0' + python: '>=3.7' + werkzeug: '>=2.2.2' hash: - md5: 12ebe92a8a578bc903bd844744f4d040 - sha256: 28e21fe765f07219c7f086b0d3bf66305ba2a457d5c248bcc92ee53d8b0f393d + md5: 85fad4c7889dd969ed4c02cf63cfe9c5 + sha256: e047c40122dc3fd53c534924271e9635d3dbf5ba606ccd2bd7f7c70b63697037 manager: conda - name: fonttools - optional: false + name: flask + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.38.0-py310h5764c6d_1.tar.bz2 - version: 4.38.0 + url: https://conda.anaconda.org/conda-forge/noarch/flask-2.2.2-pyhd8ed1ab_0.tar.bz2 + version: 2.2.2 - category: full dependencies: jpeg: '>=9e,<10a' @@ -3291,19 +3371,6 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/geotiff-1.7.1-ha76d385_4.tar.bz2 version: 1.7.1 -- category: main - dependencies: - markupsafe: '>=2.0' - python: '>=3.7' - hash: - md5: c8490ed5c70966d232fdd389d0dbed37 - sha256: b045faba7130ab263db6a8fdc96b1a3de5fcf85c4a607c5f11a49e76851500b5 - manager: conda - name: jinja2 - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2 - version: 3.1.2 - category: full dependencies: attrs: '>=17.4.0' @@ -3314,14 +3381,14 @@ package: python: '>=3.7' typing_extensions: '' hash: - md5: f39774717a77d98673ea29d28a586a84 - sha256: ed3cb14323210e9b313cac99c545ea5bab53b3d545d2b7e5b3c359ee3ea8aa4e + md5: 723268a468177cd44568eb8f794e0d80 + sha256: 4f68a23430d1afc5c9b41c46fbac0ade33c0bf57a293c646bfdd6dc65350eada manager: conda name: jsonschema optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.16.0-pyhd8ed1ab_0.tar.bz2 - version: 4.16.0 + url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.17.3-pyhd8ed1ab_0.conda + version: 4.17.3 - category: full dependencies: entrypoints: '' @@ -3360,30 +3427,26 @@ package: libgcc-ng: '>=12' libstdcxx-ng: '>=12' hash: - md5: 085b1e5ae7fa9a236f88a68eae65374e - sha256: d0725e93efdf4ab5687382e18288d6f9f34a31d82045dc3e8fff958c05cbb431 + md5: c948b920f45fd81a2dde8b1ab514cc84 + sha256: 092e44e2a672c6366170d4414c41eed5cdf864f6cbc76b83be785117b8a66ed4 manager: conda name: kealib optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/kealib-1.4.15-ha7026e8_1.tar.bz2 - version: 1.4.15 -- category: full + url: https://conda.anaconda.org/conda-forge/linux-64/kealib-1.5.0-ha7026e8_0.conda + version: 1.5.0 +- category: main dependencies: - curl: '>=7.75.0,<8.0a0' - libgcc-ng: '>=9.3.0' - libstdcxx-ng: '>=9.3.0' - libuuid: '>=2.32.1,<3.0a0' - libxml2: '>=2.9.10,<2.11.0a0' + mkl: '>=2022.1.0,<2023.0a0' hash: - md5: c265ae57e3acdc891f3e2b93cf6784f5 - sha256: ebc0d6a0decbd236f3cc362d7485f8ad1f7aef1246ada5507b407892e88293c5 + md5: 85f61af03fd291dae33150ffe89dc09a + sha256: 24e656f13b402b6fceb88df386768445ab9beb657d451a8e5a88d4b3380cf7a4 manager: conda - name: libdap4 - optional: true + name: libblas + optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libdap4-3.20.6-hd7c4107_2.tar.bz2 - version: 3.20.6 + url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-16_linux64_mkl.tar.bz2 + version: 3.9.0 - category: full dependencies: bzip2: '>=1.0.8,<2.0a0' @@ -3408,122 +3471,107 @@ package: - category: full dependencies: freexl: '>=1.0.6,<2.0a0' - geos: '>=3.11.0,<3.11.1.0a0' + geos: '>=3.11.1,<3.11.2.0a0' libgcc-ng: '>=12' librttopo: '>=1.1.0,<1.2.0a0' - libsqlite: '>=3.39.3,<4.0a0' + libsqlite: '>=3.39.4,<4.0a0' libstdcxx-ng: '>=12' - libxml2: '>=2.10.2,<2.11.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + libxml2: '>=2.10.3,<2.11.0a0' + libzlib: '>=1.2.13,<1.3.0a0' proj: '>=9.1.0,<9.1.1.0a0' - sqlite: '>=3.39.3,<4.0a0' - zlib: '>=1.2.12,<1.3.0a0' + sqlite: '' + zlib: '' hash: - md5: 92a2dbb3813c4ef1ba81802453173de6 - sha256: 2f4dba1c76f9a3ef9504cbe7386b38c55202910aea8366d953ea3c0470ee71d5 + md5: 23abed7562ad969493b89ad0e5f5c521 + sha256: ebd600fd0b4708fce8359c5c7974bf499fb70f40183732fbdf9b202766c9ed3a manager: conda name: libspatialite optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libspatialite-5.0.1-hfbd986c_21.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/libspatialite-5.0.1-h7c8129e_22.tar.bz2 version: 5.0.1 -- category: main - dependencies: - libblas: '>=3.9.0,<4.0a0' - libcblas: '>=3.9.0,<4.0a0' - libgcc-ng: '>=12' - liblapack: '>=3.9.0,<4.0a0' - libstdcxx-ng: '>=12' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: 0b7d4c8253f7191030adf34e2768c412 - sha256: b0c38316fe6fcfb504f1399a8d71b731aa3d2334e96c2288385a3184e93f68f3 - manager: conda - name: numpy - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.23.4-py310h53a5b5f_1.tar.bz2 - version: 1.23.4 - category: full dependencies: boost-cpp: '>=1.78.0,<1.78.1.0a0' cairo: '>=1.16.0,<2.0a0' - fontconfig: '>=2.14.0,<3.0a0' + fontconfig: '>=2.14.1,<3.0a0' fonts-conda-ecosystem: '' freetype: '>=2.12.1,<3.0a0' gettext: '>=0.21.1,<1.0a0' jpeg: '>=9e,<10a' - lcms2: '>=2.12,<3.0a0' - libcurl: '>=7.85.0,<8.0a0' + lcms2: '>=2.14,<3.0a0' + libcurl: '>=7.86.0,<8.0a0' libgcc-ng: '>=12' - libglib: '>=2.74.0,<3.0a0' + libglib: '>=2.74.1,<3.0a0' libiconv: '>=1.17,<2.0a0' - libpng: '>=1.6.38,<1.7.0a0' + libpng: '>=1.6.39,<1.7.0a0' libstdcxx-ng: '>=12' libtiff: '>=4.4.0,<5.0a0' libzlib: '>=1.2.13,<1.3.0a0' - nss: '>=3.78,<4.0a0' + nss: '>=3.82,<4.0a0' openjpeg: '>=2.5.0,<3.0a0' poppler-data: '' hash: - md5: 8c00d4aa14790bce1a4d1f57e50dbee8 - sha256: 9fb12bd5b71321756f7525a8ce9dc21c81094e5d1f1f8d226d0325713dbe8dd9 + md5: 7ad6d858f5615f9b0e9e4bd60395ea75 + sha256: e722d8cd8c704fb8f62db08628e3af0d2802d69f26d168c52cca50ccb4d8acc6 manager: conda name: poppler optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/poppler-22.10.0-h92391eb_0.tar.bz2 - version: 22.10.0 + url: https://conda.anaconda.org/conda-forge/linux-64/poppler-22.12.0-h92391eb_0.conda + version: 22.12.0 - category: dev dependencies: - attrs: '>=19.2.0' - colorama: '' - exceptiongroup: '' - iniconfig: '' - packaging: '' - pluggy: '>=0.12,<2.0' - python: '>=3.8' - tomli: '>=1.0.0' + astroid: '>=2.12.13,<2.14.0-dev0' + colorama: '>=0.4.5' + dill: '>=0.2' + isort: '>=4.2.5,<6' + mccabe: '>=0.6,<0.8' + platformdirs: '>=2.2.0' + python: '>=3.7.2' + tomli: '>=1.1.0' + tomlkit: '>=0.10.1' + typing_extensions: '>=3.10.0' hash: - md5: ac82c7aebc282e6ac0450fca012ca78c - sha256: 854233dc2d0d64219b7e951ccf49c1f32332c6fc7085ecb62cc18bc1f4e791b0 + md5: 26a62404bbfc93452c4d22aa2cda6f08 + sha256: 852e6a99ec31358324943ade205b0320ca25ba2d594ba215b3e34dee3f16fcae manager: conda - name: pytest + name: pylint optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.0-pyhd8ed1ab_2.tar.bz2 - version: 7.2.0 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/pylint-2.15.8-pyhd8ed1ab_0.conda + version: 2.15.8 +- category: dev dependencies: - asttokens: '' - executing: '' - pure_eval: '' - python: '>=3.5' + coverage: '>=5.2.1' + pytest: '>=4.6' + python: '>=3.6' + setuptools: '' + toml: '' hash: - md5: d62578a476321e761628bb3c428f07f9 - sha256: da0432671a463f59b1a644da103c586ebe690236d9a7716a9e10b1bd42b5456c + md5: 0f7cac11bb696b62d378bde725bfc3eb + sha256: c5feac67a828f10bfa7d5e80b12e0a7c8e3b7b4886ad682aa783bc63f62477ba manager: conda - name: stack_data + name: pytest-cov optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.0-pyhd8ed1ab_0.tar.bz2 - version: 0.6.0 + url: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-3.0.0-pyhd8ed1ab_0.tar.bz2 + version: 3.0.0 - category: full dependencies: - __linux: '' - ptyprocess: '' - python: '>=3.7' - tornado: '>=6.1.0' + asttokens: '' + executing: '' + pure_eval: '' + python: '>=3.5' hash: - md5: 57127b015e2f20aa5410666c58a07d61 - sha256: 10c5c8f97ecd66c16c7af25d5b34bd9454c203d8c5175de88f3852b0065ceac3 + md5: e7df0fdd404616638df5ece6e69ba7af + sha256: a58433e75229bec39f3be50c02efbe9b7083e53a1f31d8ee247564f370191eec manager: conda - name: terminado + name: stack_data optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.0-pyh41d4057_0.tar.bz2 - version: 0.17.0 + url: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda + version: 0.6.2 - category: full dependencies: bzip2: '>=1.0.8,<2.0a0' @@ -3532,18 +3580,18 @@ package: libstdcxx-ng: '>=12' libzlib: '>=1.2.13,<1.3.0a0' lz4-c: '>=1.9.3,<1.10.0a0' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' zlib: '' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 4ae02ca7d1da6e2b4e3005108df36812 - sha256: cfcc418a8e19487d2286df2954d1f8b22d85299f54d3a314e1540173149801ea + md5: b7009881353045d2bdae62ec0dd04bc0 + sha256: 20323a6e2d0dde70ce38041120585456bcdff45a2522acca8dd22d4a2f67c363 manager: conda name: tiledb optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/tiledb-2.11.3-h3f4058f_1.tar.bz2 - version: 2.11.3 + url: https://conda.anaconda.org/conda-forge/linux-64/tiledb-2.13.0-h3f4058f_0.conda + version: 2.13.0 - category: full dependencies: backports.functools_lru_cache: '' @@ -3557,19 +3605,6 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.5-pyh9f0ad1d_2.tar.bz2 version: 0.2.5 -- category: full - dependencies: - markupsafe: '>=2.1.1' - python: '>=3.7' - hash: - md5: 8e69568592e552919201f730b01a58c2 - sha256: 3bb3d6a98f9e3c6081166d81368e4a0e48fdbfe19e683a957ac344b063c42412 - manager: conda - name: werkzeug - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/werkzeug-2.2.2-pyhd8ed1ab_0.tar.bz2 - version: 2.2.2 - category: full dependencies: argon2-cffi-bindings: '' @@ -3584,163 +3619,98 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-21.3.0-pyhd8ed1ab_0.tar.bz2 version: 21.3.0 -- category: main - dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - numpy: '>=1.16' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: c5b1699e390d30b680dd93a2b251062b - sha256: 0026b90f6d05663df26ad281616b27211e39ecfe9b3ccbcb551d54c35e98bcf1 - manager: conda - name: contourpy - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.0.6-py310hbf28c38_0.tar.bz2 - version: 1.0.6 - category: full dependencies: - click: '>=8.0' - importlib-metadata: '>=3.6.0' - itsdangerous: '>=2.0' - jinja2: '>=3.0' - python: '>=3.7' - werkzeug: '>=2.2.2' + brotli-python: '' + flask: '' + python: '>=2.7|>=3.6' hash: - md5: 85fad4c7889dd969ed4c02cf63cfe9c5 - sha256: e047c40122dc3fd53c534924271e9635d3dbf5ba606ccd2bd7f7c70b63697037 + md5: 19a84270d30c5a0dd10780e3d510e33d + sha256: 75d326f0b12aef8f35080f5a5e2ef26066afcb60e3da765a9a5f4349572acd3b manager: conda - name: flask + name: flask-compress optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/flask-2.2.2-pyhd8ed1ab_0.tar.bz2 - version: 2.2.2 + url: https://conda.anaconda.org/conda-forge/noarch/flask-compress-1.13-pyhd8ed1ab_0.tar.bz2 + version: '1.13' - category: main dependencies: - cached-property: '' - hdf5: '>=1.12.2,<1.12.3.0a0' - libgcc-ng: '>=12' - numpy: '>=1.21.6,<2.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 + libblas: 3.9.0 16_linux64_mkl hash: - md5: 0531c9996dd47c57f14264c3177ccb03 - sha256: 8dd30a202cc301a73de074c7558a111ad04df5c5959cb8255507471360f80a50 + md5: 361bf757b95488de76c4f123805742d3 + sha256: 892ba10508f22310ccfe748df1fd3b6c7f20e7b6f6b79e69ed337863551c1bd8 manager: conda - name: h5py + name: libcblas optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.7.0-nompi_py310h416281c_102.tar.bz2 - version: 3.7.0 + url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-16_linux64_mkl.tar.bz2 + version: 3.9.0 - category: full dependencies: - blosc: '>=1.21.1,<2.0a0' - brunsli: '>=0.1,<1.0a0' - bzip2: '>=1.0.8,<2.0a0' - c-blosc2: '>=2.4.3,<3.0a0' - cfitsio: '>=4.1.0,<4.1.1.0a0' - charls: '>=2.3.4,<2.4.0a0' + __glibc: '>=2.17,<3.0.a0' + blosc: '>=1.21.2,<2.0a0' + cfitsio: '>=4.2.0,<4.2.1.0a0' + expat: '>=2.5.0,<3.0a0' + freexl: '>=1.0.6,<2.0a0' + geos: '>=3.11.1,<3.11.2.0a0' + geotiff: '>=1.7.1,<1.8.0a0' giflib: '>=5.2.1,<5.3.0a0' + hdf4: '>=4.2.15,<4.2.16.0a0' + hdf5: '>=1.12.2,<1.12.3.0a0' + icu: '>=70.1,<71.0a0' jpeg: '>=9e,<10a' - jxrlib: '>=1.1,<1.2.0a0' - lcms2: '>=2.12,<3.0a0' + json-c: '>=0.16,<0.17.0a0' + kealib: '>=1.5.0,<1.6.0a0' lerc: '>=4.0.0,<5.0a0' - libaec: '>=1.0.6,<2.0a0' - libavif: '>=0.11.1,<0.11.2.0a0' - libbrotlicommon: '>=1.0.9,<1.1.0a0' - libbrotlidec: '>=1.0.9,<1.1.0a0' - libbrotlienc: '>=1.0.9,<1.1.0a0' + libcurl: '>=7.86.0,<8.0a0' libdeflate: '>=1.14,<1.15.0a0' libgcc-ng: '>=12' - libpng: '>=1.6.38,<1.7.0a0' + libiconv: '>=1.17,<2.0a0' + libkml: '>=1.3.0,<1.4.0a0' + libnetcdf: '>=4.8.1,<4.8.2.0a0' + libpng: '>=1.6.39,<1.7.0a0' + libpq: '>=15.1,<16.0a0' + libspatialite: '>=5.0.1,<5.1.0a0' + libsqlite: '>=3.40.0,<4.0a0' libstdcxx-ng: '>=12' libtiff: '>=4.4.0,<5.0a0' + libuuid: '>=2.32.1,<3.0a0' libwebp-base: '>=1.2.4,<2.0a0' + libxml2: '>=2.10.3,<2.11.0a0' libzlib: '>=1.2.13,<1.3.0a0' - libzopfli: '>=1.0.3,<1.1.0a0' lz4-c: '>=1.9.3,<1.10.0a0' - numpy: '>=1.21.6,<2.0a0' - openjpeg: '>=2.5.0,<3.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - snappy: '>=1.1.9,<2.0a0' - xz: '>=5.2.6,<6.0a0' - zfp: '>=1.0.0,<2.0a0' - zstd: '>=1.5.2,<1.6.0a0' - hash: - md5: 96382eaad60f0298a4b31b0ae37c75db - sha256: b2a06d8e97ba9ae1deb6c84133b206e76e4b1ae71d0037cc92c2aec99ac9b08f - manager: conda - name: imagecodecs - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/imagecodecs-2022.9.26-py310h90cd304_3.tar.bz2 - version: 2022.9.26 -- category: full - dependencies: - numpy: '' - pillow: '>=8.3.2' - python: '>=3' - hash: - md5: 9d10b00d27b54836d40759608d558276 - sha256: 0f949184ba2b939c05c817b043566c616ea49e373989859e6cc47fd7aa8ea6fa - manager: conda - name: imageio - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/imageio-2.22.0-pyhfa7a67d_0.tar.bz2 - version: 2.22.0 -- category: full - dependencies: - __glibc: '>=2.17,<3.0.a0' - blosc: '>=1.21.1,<2.0a0' - cfitsio: '>=4.1.0,<4.1.1.0a0' - expat: '>=2.5.0,<3.0a0' - freexl: '>=1.0.6,<2.0a0' - geos: '>=3.11.0,<3.11.1.0a0' - geotiff: '>=1.7.1,<1.8.0a0' - giflib: '>=5.2.1,<5.3.0a0' - hdf4: '>=4.2.15,<4.2.16.0a0' - hdf5: '>=1.12.2,<1.12.3.0a0' - icu: '>=70.1,<71.0a0' - jpeg: '>=9e,<10a' - json-c: '>=0.16,<0.17.0a0' - kealib: '>=1.4.15,<1.5.0a0' - libdap4: '>=3.20.6,<3.20.7.0a0' - libgcc-ng: '>=12' - libkml: '>=1.3.0,<1.4.0a0' - libnetcdf: '>=4.8.1,<4.8.2.0a0' - libpng: '>=1.6.38,<1.7.0a0' - libpq: '>=14.5,<15.0a0' - libspatialite: '>=5.0.1,<5.1.0a0' - libsqlite: '>=3.39.4,<4.0a0' - libstdcxx-ng: '>=12' - libtiff: '>=4.4.0,<5.0a0' - libuuid: '>=2.32.1,<3.0a0' - libwebp-base: '>=1.2.4,<2.0a0' - libxml2: '>=2.10.3,<2.11.0a0' - libzlib: '>=1.2.13,<1.3.0a0' openjpeg: '>=2.5.0,<3.0a0' - openssl: '>=3.0.5,<4.0a0' - pcre: '>=8.45,<9.0a0' - poppler: '>=22.10.0,<22.11.0a0' + openssl: '>=3.0.7,<4.0a0' + pcre2: '>=10.40,<10.41.0a0' + poppler: '>=22.12.0,<22.13.0a0' postgresql: '' proj: '>=9.1.0,<9.1.1.0a0' - tiledb: '>=2.11.3,<2.12.0a0' + qhull: '>=2020.2,<2020.3.0a0' + tiledb: '>=2.13.0,<2.14.0a0' xerces-c: '>=3.2.4,<3.3.0a0' xz: '>=5.2.6,<6.0a0' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 53cd504c16a3061d8b4553370be347c2 - sha256: af9c582aa0dd72480f96d604e29eb619c807a242820664f71fe6aaf7d62ca7bc + md5: 8e42639e5b6979328d67df14f261dbc4 + sha256: 9d43e4be52298be4c7c21ed7469469c9424580bf0c8b82ad952fcc8cb0b12233 manager: conda name: libgdal optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libgdal-3.5.3-h27ae5c1_0.tar.bz2 - version: 3.5.3 + url: https://conda.anaconda.org/conda-forge/linux-64/libgdal-3.6.0-h4fca5ce_14.conda + version: 3.6.0 +- category: main + dependencies: + libblas: 3.9.0 16_linux64_mkl + hash: + md5: a2f166748917d6d6e4707841ca1f519e + sha256: d6201f860b2d76ed59027e69c2bbad6d1cb211a215ec9705cc487cde488fa1fa + manager: conda + name: liblapack + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-16_linux64_mkl.tar.bz2 + version: 3.9.0 - category: full dependencies: importlib-metadata: '>=3.6' @@ -3758,95 +3728,19 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.7.0-pyhd8ed1ab_0.tar.bz2 version: 5.7.0 -- category: main - dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - llvmlite: '>=0.39.1,<0.40.0a0' - numpy: '>=1.21.6,<2.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - setuptools: '' - hash: - md5: 776b69868b790bb0fab407cda31c27c8 - sha256: 248447294df7a1600a5a85e37cd661ddd26d74a11f51a72b18bc60d919730460 - manager: conda - name: numba - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/numba-0.56.3-py310ha5257ce_0.tar.bz2 - version: 0.56.3 -- category: main - dependencies: - entrypoints: '' - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - msgpack-python: '' - numpy: '>=1.7' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - typing-extensions: '>=3.7.4' - hash: - md5: 5d02d2c8122453deb6e12c46178639b3 - sha256: 6b136c3494ef4e831af303a94e54bc62e8999306c29ece9dcfc191da17f6ec60 - manager: conda - name: numcodecs - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/numcodecs-0.10.2-py310hd8f1fbe_0.tar.bz2 - version: 0.10.2 -- category: main - dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - numpy: '>=1.21.6,<2.0a0' - python: '>=3.10,<3.11.0a0' - python-dateutil: '>=2.8.1' - python_abi: 3.10.* *_cp310 - pytz: '>=2020.1' - hash: - md5: 4dd589c55d445e52ef0a7102158254df - sha256: 4fef6eada4f75588665c8d1d5f79f1f117436a5b1f33d198aa7fb4a0728aa3da - manager: conda - name: pandas - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pandas-1.5.1-py310h769672d_1.tar.bz2 - version: 1.5.1 - category: full dependencies: python: '>=3.6' wcwidth: '' hash: - md5: 94fee21afe199936bc361608e537cd11 - sha256: 4fadebeef8ff5441e7181cee7b580c69362b3226e41b77ae753226c11b2895bb + md5: 4d79ec192e0bfd530a254006d123b9a6 + sha256: 6bd3626799c9467d7aa8ed5f95043e4cea614a1329580980ddcf40cfed3ee860 manager: conda name: prompt-toolkit optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.31-pyha770c72_0.tar.bz2 - version: 3.0.31 -- category: dev - dependencies: - astroid: '>=2.12.12,<2.14.0-dev0' - colorama: '>=0.4.5' - dill: '>=0.2' - isort: '>=4.2.5,<6' - mccabe: '>=0.6,<0.8' - platformdirs: '>=2.2.0' - python: '>=3.7.2' - tomli: '>=1.1.0' - tomlkit: '>=0.10.1' - typing_extensions: '>=3.10.0' - hash: - md5: 20a795c6e8abea62d460bae344df462b - sha256: f9b6f6daf05c28d241ba327e8999bac327a1e7f0bc8bd115e45abcb71901bee5 - manager: conda - name: pylint - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/pylint-2.15.5-pyhd8ed1ab_0.tar.bz2 - version: 2.15.5 + url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.36-pyha770c72_0.conda + version: 3.0.36 - category: main dependencies: cryptography: '>=38.0.0,<39' @@ -3860,334 +3754,128 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-22.1.0-pyhd8ed1ab_0.tar.bz2 version: 22.1.0 -- category: dev +- category: full dependencies: - coverage: '>=5.2.1' - pytest: '>=4.6' + flask: '>=1.0.4' + flask-compress: '' + plotly: '>=5.0.0' python: '>=3.6' setuptools: '' - toml: '' hash: - md5: 0f7cac11bb696b62d378bde725bfc3eb - sha256: c5feac67a828f10bfa7d5e80b12e0a7c8e3b7b4886ad682aa783bc63f62477ba + md5: a610529f1cc80da3ffda41228bc9d2c5 + sha256: 93d759dd4c218271712a0f7d40be57ed32766fde472b3b13469a215671b14178 manager: conda - name: pytest-cov + name: dash optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-3.0.0-pyhd8ed1ab_0.tar.bz2 - version: 3.0.0 + url: https://conda.anaconda.org/conda-forge/noarch/dash-2.7.1-pyhd8ed1ab_0.conda + version: 2.7.1 - category: full dependencies: - libgcc-ng: '>=12' - numpy: '>=1.21.6,<2.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 + __linux: '' + _ipython_minor_entry_point: 8.7.0.* + backcall: '' + decorator: '' + jedi: '>=0.16' + matplotlib-inline: '' + pexpect: '>4.3' + pickleshare: '' + prompt-toolkit: '>=3.0.11,<3.1.0' + pygments: '>=2.4.0' + python: '>=3.8' + stack_data: '' + traitlets: '>=5' hash: - md5: 61e2f2f7befaf45f47d1da449a9a0aca - sha256: 93dc0c944ad1dee3013da36f0e4ae387f0258840b714ac14202e666cb00a7d02 + md5: adc2f96edf35423c091dba93b642573a + sha256: 206db23530d25907c1fc7d28f6a5ed790348cfaf3eef14186d496f906a1c61ea manager: conda - name: pywavelets + name: ipython optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pywavelets-1.3.0-py310hde88566_2.tar.bz2 - version: 1.3.0 + url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.7.0-pyh41d4057_0.conda + version: 8.7.0 +- category: full + dependencies: + jupyter_client: '>=6.1.12' + jupyter_core: '>=4.12,!=5.0.*' + nbformat: '>=5.1' + python: '>=3.7' + traitlets: '>=5.3' + hash: + md5: 6c7b0d75b66a220274bb5a28c23197f2 + sha256: 400cba87afda16d91c4fab133ed72b37ab0aa6592de61d4d5dd29dc026832a4f + manager: conda + name: nbclient + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.2-pyhd8ed1ab_0.conda + version: 0.7.2 - category: main dependencies: libblas: '>=3.9.0,<4.0a0' libcblas: '>=3.9.0,<4.0a0' libgcc-ng: '>=12' - libgfortran-ng: '' - libgfortran5: '>=10.4.0' liblapack: '>=3.9.0,<4.0a0' libstdcxx-ng: '>=12' - numpy: '>=1.21.6,<2.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 hash: - md5: 4140058701f7a3bad773f31496586256 - sha256: 801f10fc50898d554379585a279171bc63ff6e487d8d00015e67cccb658fb336 + md5: 3b114b1559def8bad228fec544ac1812 + sha256: c3b2dc03dbae88ae1337e37e672aa44008898395d3508839bf35323b54e71665 manager: conda - name: scipy + name: numpy optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.9.3-py310hdfbd76f_1.tar.bz2 - version: 1.9.3 -- category: full - dependencies: - geos: '>=3.11.0,<3.11.1.0a0' - libgcc-ng: '>=12' - numpy: '>=1.21.6,<2.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: e5519576751b59d67164b965a4eb4406 - sha256: 4038c550c2fbaf644d8fdb723e5f2ea77745098036f6025f0aaecd0af86d0dbb - manager: conda - name: shapely - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/shapely-1.8.5-py310h5e49deb_1.tar.bz2 - version: 1.8.5 + url: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.23.5-py310h53a5b5f_0.conda + version: 1.23.5 - category: main dependencies: - numpy: '>=1.7' - python: '' + brotlipy: '>=0.6.0' + certifi: '' + cryptography: '>=1.3.4' + idna: '>=2.0.0' + pyopenssl: '>=0.14' + pysocks: '>=1.5.6,<2.0,!=1.5.7' + python: <4.0 hash: - md5: 7a6395b244b183e9e55e606e3d68e83b - sha256: 891620c6e65716efa84832458ff972037faf31a2009421ad120807dedd360402 + md5: 3078ef2359efd6ecadbc7e085c5e0592 + sha256: 992f2d6ca50c98f865a4f2e4bada23f950e39f33ff7c64614a31ee152ec4d5ae manager: conda - name: vectormath + name: urllib3 optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/vectormath-0.2.2-py_0.tar.bz2 - version: 0.2.2 + url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.13-pyhd8ed1ab_0.conda + version: 1.26.13 - category: main dependencies: - libgcc-ng: '>=10.3.0' - libstdcxx-ng: '>=10.3.0' - numpy: '>=1.21.6,<2.0a0' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + numpy: '>=1.16' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 - scipy: '>=0.13' - hash: - md5: f97c620a5ab8cf3b34cbb10907b2f571 - sha256: b35b4b58fde74fc7afdcb61b96f933719e7f92136068f3ff4f3010dd817cf611 - manager: conda - name: discretize - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/discretize-0.7.4-py310hc4a4660_0.tar.bz2 - version: 0.7.4 -- category: main - dependencies: - numba: '>=0.47' - python: '>=3.7' - scipy: '>=1.4.0' hash: - md5: df7965121f7c2d03a9f444e5307a6550 - sha256: d01a52b5aa35962f6d160be459a4c2859079a0212b518ccaeaa2bc4a69a9568c + md5: c5b1699e390d30b680dd93a2b251062b + sha256: 0026b90f6d05663df26ad281616b27211e39ecfe9b3ccbcb551d54c35e98bcf1 manager: conda - name: empymod + name: contourpy optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/empymod-2.2.1-pyhd8ed1ab_0.tar.bz2 - version: 2.2.1 + url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.0.6-py310hbf28c38_0.tar.bz2 + version: 1.0.6 - category: full dependencies: - brotli-python: '' - flask: '' - python: '>=2.7|>=3.6' + dash: '>=1.6.1' + python: '' hash: - md5: 19a84270d30c5a0dd10780e3d510e33d - sha256: 75d326f0b12aef8f35080f5a5e2ef26066afcb60e3da765a9a5f4349572acd3b + md5: ebd54a61606fa8a191932cb72e448418 + sha256: 5e99ab8b5cac15e5d6986a90566a335c21b2849838a6e877bec79efa2e7e346f manager: conda - name: flask-compress + name: dash-daq optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/flask-compress-1.13-pyhd8ed1ab_0.tar.bz2 - version: '1.13' -- category: full - dependencies: - hdf5: '>=1.12.2,<1.12.3.0a0' - libgcc-ng: '>=12' - libgdal: 3.5.3 h27ae5c1_0 - libstdcxx-ng: '>=12' - numpy: '>=1.21.6,<2.0a0' - openssl: '>=3.0.5,<4.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: fcb0c37af3166312895704576cf1014d - sha256: 229d58ef6773dc66b32626857f8f6cdf22e229022b62d72349b5028b17a39b37 - manager: conda - name: gdal - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/gdal-3.5.3-py310he53f9b6_0.tar.bz2 - version: 3.5.3 -- category: full - dependencies: - __linux: '' - backcall: '' - decorator: '' - jedi: '>=0.16' - matplotlib-inline: '' - pexpect: '>4.3' - pickleshare: '' - prompt-toolkit: '>3.0.1,<3.1.0' - pygments: '>=2.4.0' - python: '>=3.8' - stack_data: '' - traitlets: '>=5' - hash: - md5: 1450d70c7a31f515354f47d8d8faae78 - sha256: e417c9064fac8d254b0fba28bb897be5d68dc678bc8d9224b23e1bc00d7802de - manager: conda - name: ipython - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.6.0-pyh41d4057_1.tar.bz2 - version: 8.6.0 -- category: main - dependencies: - certifi: '>=2020.06.20' - contourpy: '>=1.0.1' - cycler: '>=0.10' - fonttools: '>=4.22.0' - freetype: '>=2.12.1,<3.0a0' - kiwisolver: '>=1.0.1' - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - numpy: '>=1.21.6,<2.0a0' - packaging: '>=20.0' - pillow: '>=6.2.0' - pyparsing: '>=2.2.1' - python: '>=3.10,<3.11.0a0' - python-dateutil: '>=2.7' - python_abi: 3.10.* *_cp310 - tk: '>=8.6.12,<8.7.0a0' - hash: - md5: bc8d8dcad6b921b0996df46f0e7f120d - sha256: 9e0a0de339385807957939d690ebedbf674c7f34df465f0c512be3887f92141e - manager: conda - name: matplotlib-base - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.6.1-py310h8d5ebf3_1.tar.bz2 - version: 3.6.1 -- category: full - dependencies: - jupyter_client: '>=6.1.5' - nbformat: '>=5.0' - nest-asyncio: '' - python: '>=3.7' - traitlets: '>=5.2.2' - hash: - md5: 87eed34d791330d8acdab6a8ab63113f - sha256: ef28a3c4e3a218ae48b1e7a24ec7a8bb4f6da0096135d1155a5a5cc71393aaf4 - manager: conda - name: nbclient - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.0-pyhd8ed1ab_0.tar.bz2 - version: 0.7.0 -- category: main - dependencies: - numpy: '>=1.7' - python: '' - six: '' - vectormath: '>=0.1.4' - hash: - md5: 62052fa8409d12536ff149e25b0e9905 - sha256: 693596b821b28f8d9710e80a143816e55fc401b8cd2f0b0d777f5155bd3358f2 - manager: conda - name: properties - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/properties-0.6.1-py_0.tar.bz2 - version: 0.6.1 -- category: main - dependencies: - libgcc-ng: '>=12' - mkl: '>=2022.1.0,<2023.0a0' - numpy: '>=1.21.6,<2.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - scipy: '>=0.13' - hash: - md5: 35402d207b798650a58e15f2a12335ef - sha256: 1a81cfce8a9bd81e6b6ed099ef1939ee53fd119dfe11c4169ad2422e245967aa - manager: conda - name: pydiso - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pydiso-0.0.3-py310h1dd1467_4.tar.bz2 - version: 0.0.3 -- category: main - dependencies: - joblib: '>=1.0.0' - libcblas: '>=3.9.0,<4.0a0' - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - numpy: '>=1.21.6,<2.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - scipy: '' - threadpoolctl: '>=2.0.0' - hash: - md5: 94edd7ffaa02bfbff3ba7d03f0d0dfe2 - sha256: 922dfa8b1727c167f2d6701b73a1608271c673ccd3b7015c6ed9670916f39e50 - manager: conda - name: scikit-learn - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.1.3-py310h0c3af53_1.tar.bz2 - version: 1.1.3 -- category: full - dependencies: - imagecodecs: '>=2021.11.20' - numpy: '>=1.19.2' - python: '>=3.8' - hash: - md5: 1c126ff5b4643785bbc16e44e6327e41 - sha256: 85153fe85b205e01f62fcfddcc47c2c6a8cb6062d4e0e73e0a0a71f01a984f33 - manager: conda - name: tifffile - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2022.10.10-pyhd8ed1ab_0.tar.bz2 - version: 2022.10.10 -- category: main - dependencies: - brotlipy: '>=0.6.0' - certifi: '' - cryptography: '>=1.3.4' - idna: '>=2.0.0' - pyopenssl: '>=0.14' - pysocks: '>=1.5.6,<2.0,!=1.5.7' - python: <4.0 - hash: - md5: 0738978569b10669bdef41c671252dd1 - sha256: 57a823b83428156aa2bc18f34159a744657c9bd117a125ca4559b0518a2e4fa2 - manager: conda - name: urllib3 - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.11-pyhd8ed1ab_0.tar.bz2 - version: 1.26.11 -- category: main - dependencies: - asciitree: '' - fasteners: '' - numcodecs: '>=0.10.0' - numpy: '>=1.7' - python: '>=3.5' - hash: - md5: 7e212240cf03e35a6b3201010a1a1e12 - sha256: 522e72b5f4f1d49d73bdd7fc92a4e51efe86910460577646f553905969d11550 - manager: conda - name: zarr - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/zarr-2.13.3-pyhd8ed1ab_0.tar.bz2 - version: 2.13.3 -- category: full - dependencies: - flask: '>=1.0.4' - flask-compress: '' - plotly: '>=5.0.0' - python: '>=3.6' - setuptools: '' - hash: - md5: 08473f0b4d35533dec6cf77149dcecbc - sha256: 3bb47d32349addf8be7f939700b9b4c1d1548a794389dd3b1217a0003a9f15a1 - manager: conda - name: dash - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/dash-2.6.2-pyhd8ed1ab_0.tar.bz2 - version: 2.6.2 -- category: main + url: https://conda.anaconda.org/conda-forge/noarch/dash-daq-0.5.0-pyh9f0ad1d_1.tar.bz2 + version: 0.5.0 +- category: main dependencies: click: '>=6.6' cloudpickle: '>=1.5.0' @@ -4217,52 +3905,102 @@ package: version: 2022.10.0 - category: full dependencies: - attrs: '>=17' - click: '>=4.0' - click-plugins: '>=1.0' - cligj: '>=0.5' - gdal: '' + hdf5: '>=1.12.2,<1.12.3.0a0' libgcc-ng: '>=12' - libgdal: '>=3.5.3,<3.6.0a0' + libgdal: 3.6.0 h4fca5ce_14 libstdcxx-ng: '>=12' - munch: '' numpy: '>=1.21.6,<2.0a0' + openssl: '>=3.0.7,<4.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 - setuptools: '' - shapely: '' - six: '>=1.7' hash: - md5: 5b219e594b1a8445d6fa2aa78cb8831c - sha256: bcef6a727cd31f73749dec739d7b44747bf8003ee68d3dd61588fc79bd4fb23d + md5: 4a1a8f760633e46f8db6151ce48502eb + sha256: a4dafb0eee0ad548947450ab062c210e3a867c4f6fab998aa821dc8b7ef9ea02 manager: conda - name: fiona + name: gdal optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/fiona-1.8.22-py310h60a68a4_1.tar.bz2 - version: 1.8.22 + url: https://conda.anaconda.org/conda-forge/linux-64/gdal-3.6.0-py310hc1b7723_14.conda + version: 3.6.0 - category: main dependencies: - future: '' - matplotlib-base: '' - numpy: '>=1.7' - properties: '' - python: '' - scipy: '>=0.13' - utm: '' - vectormath: '' + cached-property: '' + hdf5: '>=1.12.2,<1.12.3.0a0' + libgcc-ng: '>=12' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 hash: - md5: 940c153c790eec5801d26ad7115d69bf - sha256: 6ef4cb86ab786166d39b6a55f2b5b9027f298d4aa7ba676d587b31cf80053ae5 + md5: 0531c9996dd47c57f14264c3177ccb03 + sha256: 8dd30a202cc301a73de074c7558a111ad04df5c5959cb8255507471360f80a50 manager: conda - name: geoana + name: h5py optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/geoana-0.0.6-py_1.tar.bz2 - version: 0.0.6 + url: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.7.0-nompi_py310h416281c_102.tar.bz2 + version: 3.7.0 +- category: full + dependencies: + blosc: '>=1.21.1,<2.0a0' + brunsli: '>=0.1,<1.0a0' + bzip2: '>=1.0.8,<2.0a0' + c-blosc2: '>=2.4.3,<3.0a0' + cfitsio: '>=4.2.0,<4.2.1.0a0' + charls: '>=2.3.4,<2.4.0a0' + giflib: '>=5.2.1,<5.3.0a0' + jpeg: '>=9e,<10a' + jxrlib: '>=1.1,<1.2.0a0' + lcms2: '>=2.14,<3.0a0' + lerc: '>=4.0.0,<5.0a0' + libaec: '>=1.0.6,<2.0a0' + libavif: '>=0.11.1,<0.11.2.0a0' + libbrotlicommon: '>=1.0.9,<1.1.0a0' + libbrotlidec: '>=1.0.9,<1.1.0a0' + libbrotlienc: '>=1.0.9,<1.1.0a0' + libdeflate: '>=1.14,<1.15.0a0' + libgcc-ng: '>=12' + libpng: '>=1.6.38,<1.7.0a0' + libstdcxx-ng: '>=12' + libtiff: '>=4.4.0,<5.0a0' + libwebp-base: '>=1.2.4,<2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + libzopfli: '>=1.0.3,<1.1.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' + numpy: '>=1.21.6,<2.0a0' + openjpeg: '>=2.5.0,<3.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + snappy: '>=1.1.9,<2.0a0' + xz: '>=5.2.6,<6.0a0' + zfp: '>=1.0.0,<2.0a0' + zstd: '>=1.5.2,<1.6.0a0' + hash: + md5: e0d3ca05bf830a6dc056648f0037c057 + sha256: 1863f4b452b83652098c2f419fa55ed945fb75a085c921cce503f8c649489b39 + manager: conda + name: imagecodecs + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/imagecodecs-2022.9.26-py310h543e91f_4.conda + version: 2022.9.26 +- category: full + dependencies: + numpy: '' + pillow: '>=8.3.2' + python: '>=3' + hash: + md5: 4fef7788eaed184136c627a8c5feced6 + sha256: c1a49325a3208a875bc5d2ab2d866c820a60a0c6561c4efe796ad78e10085123 + manager: conda + name: imageio + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/imageio-2.22.4-pyhfa7a67d_1.conda + version: 2.22.4 - category: full dependencies: __linux: '' + comm: '>=0.1' debugpy: '>=1.0' ipython: '>=7.23.1' jupyter_client: '>=6.1.12' @@ -4275,14 +4013,14 @@ package: tornado: '>=6.1' traitlets: '>=5.1.0' hash: - md5: f58ba3ca7c43058083bd9dadc65ef73b - sha256: a039cdb7922237e90cef18b977c2af193b84801d2c3d159821b050358cc0a295 + md5: fac8e302e83b809e6d25a396f0e156c7 + sha256: 4504a2d2bf86d173bc83d4d545ccf3fa7197110a0f113dc423645ba117b4b6d7 manager: conda name: ipykernel optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.17.0-pyh210e3f2_0.tar.bz2 - version: 6.17.0 + url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.19.2-pyh210e3f2_0.conda + version: 6.19.2 - category: full dependencies: beautifulsoup4: '' @@ -4303,29 +4041,84 @@ package: tinycss2: '' traitlets: '>=5.0' hash: - md5: fa00f301fe82fe2b260f58789440587b - sha256: fd5f7512edd5b13d0aa09be9bf1336de433886fdf94bf668220e3e74b36ac3f7 + md5: d222e8861fa78999b66ae7fa14710c1c + sha256: b40fdc7bacaff6b926af36e622654850ebd8e03786c62a1a38a38fd42a51d60a manager: conda name: nbconvert-core optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 - category: main dependencies: - numpy: '' - pydiso: '' - python: '>=3.6' - scipy: '' - hash: - md5: d824e3266c690c6b8c662cf19fa62b3f - sha256: e1d39044c41541a09ba846c51c2ba315858622dfb4e7eaebcb0823316159fab8 + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + llvmlite: '>=0.39.1,<0.40.0a0' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + setuptools: '' + hash: + md5: 5a4904c5c57a3d1f9a5ae6533401f652 + sha256: 231899246b69d78f55b4e725a009b18a8f9a53255b9508b8fc25743ab9e3177a manager: conda - name: pymatsolver + name: numba optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/pymatsolver-0.2.0-pyhd8ed1ab_0.tar.bz2 - version: 0.2.0 + url: https://conda.anaconda.org/conda-forge/linux-64/numba-0.56.4-py310ha5257ce_0.conda + version: 0.56.4 +- category: main + dependencies: + entrypoints: '' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + msgpack-python: '' + numpy: '>=1.7' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + typing-extensions: '>=3.7.4' + hash: + md5: 5d02d2c8122453deb6e12c46178639b3 + sha256: 6b136c3494ef4e831af303a94e54bc62e8999306c29ece9dcfc191da17f6ec60 + manager: conda + name: numcodecs + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/numcodecs-0.10.2-py310hd8f1fbe_0.tar.bz2 + version: 0.10.2 +- category: main + dependencies: + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python-dateutil: '>=2.8.1' + python_abi: 3.10.* *_cp310 + pytz: '>=2020.1' + hash: + md5: bc363997d22f3b058fb17f1e89d4c96f + sha256: 9fc01e4b920cee9ce2974a2d16dbacc5b86db3d12825fe8b25ff2adf4c80a362 + manager: conda + name: pandas + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/pandas-1.5.2-py310h769672d_0.conda + version: 1.5.2 +- category: full + dependencies: + libgcc-ng: '>=12' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 61e2f2f7befaf45f47d1da449a9a0aca + sha256: 93dc0c944ad1dee3013da36f0e4ae387f0258840b714ac14202e666cb00a7d02 + manager: conda + name: pywavelets + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/pywavelets-1.3.0-py310hde88566_2.tar.bz2 + version: 1.3.0 - category: dev dependencies: certifi: '>=2017.4.17' @@ -4342,46 +4135,113 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/requests-2.28.1-pyhd8ed1ab_1.tar.bz2 version: 2.28.1 -- category: full +- category: main dependencies: - cloudpickle: '>=0.2.1' - cytoolz: '>=0.7.3' - dask-core: '>=1.0.0,!=2.17.0' - imageio: '>=2.3.0' + libblas: '>=3.9.0,<4.0a0' + libcblas: '>=3.9.0,<4.0a0' libgcc-ng: '>=12' + libgfortran-ng: '' + libgfortran5: '>=10.4.0' + liblapack: '>=3.9.0,<4.0a0' libstdcxx-ng: '>=12' - networkx: '>=2.2' numpy: '>=1.21.6,<2.0a0' - packaging: '>=20.0' - pillow: '>=6.1.0,!=7.1.0,!=7.1.1,!=8.3.0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 - pywavelets: '>=1.1.1' - scipy: '>=1.4.1' - tifffile: '>=2019.7.26' - toolz: '>=0.7.3' hash: - md5: c0391107b0cd0010708d6969ed759e8b - sha256: 42943f4eb3fc0ae3207bcebfded7cd2e673746795f945918e0d6c33a2c79f5e4 + md5: 0582a434d03f6b06d5defbb142c96f4f + sha256: 3b25a8ccc8c4ebd91e540824dd5c36c6c9fa3758a69b8199d169b00fad86c8fb manager: conda - name: scikit-image - optional: true + name: scipy + optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/scikit-image-0.19.3-py310h769672d_2.tar.bz2 - version: 0.19.3 + url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.9.3-py310hdfbd76f_2.tar.bz2 + version: 1.9.3 - category: full dependencies: - dash: '>=1.6.1' + geos: '>=3.11.1,<3.11.2.0a0' + libgcc-ng: '>=12' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 823009371d9b961c83cdb9aa80e1e6e7 + sha256: c100d7e19ebcb8c23c9d3565354461ecd8efc2dfdb35afe947c3e3ab5402d56f + manager: conda + name: shapely + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.0-py310h8b84c32_0.conda + version: 2.0.0 +- category: main + dependencies: + numpy: '>=1.7' python: '' hash: - md5: ebd54a61606fa8a191932cb72e448418 - sha256: 5e99ab8b5cac15e5d6986a90566a335c21b2849838a6e877bec79efa2e7e346f + md5: 7a6395b244b183e9e55e606e3d68e83b + sha256: 891620c6e65716efa84832458ff972037faf31a2009421ad120807dedd360402 manager: conda - name: dash-daq + name: vectormath + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/vectormath-0.2.2-py_0.tar.bz2 + version: 0.2.2 +- category: main + dependencies: + libgcc-ng: '>=10.3.0' + libstdcxx-ng: '>=10.3.0' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + scipy: '>=0.13' + hash: + md5: f97c620a5ab8cf3b34cbb10907b2f571 + sha256: b35b4b58fde74fc7afdcb61b96f933719e7f92136068f3ff4f3010dd817cf611 + manager: conda + name: discretize + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/discretize-0.7.4-py310hc4a4660_0.tar.bz2 + version: 0.7.4 +- category: main + dependencies: + numba: '>=0.47' + python: '>=3.7' + scipy: '>=1.4.0' + hash: + md5: df7965121f7c2d03a9f444e5307a6550 + sha256: d01a52b5aa35962f6d160be459a4c2859079a0212b518ccaeaa2bc4a69a9568c + manager: conda + name: empymod + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/empymod-2.2.1-pyhd8ed1ab_0.tar.bz2 + version: 2.2.1 +- category: full + dependencies: + attrs: '>=17' + click: '>=4.0' + click-plugins: '>=1.0' + cligj: '>=0.5' + gdal: '' + libgcc-ng: '>=12' + libgdal: '>=3.6.0,<3.7.0a0' + libstdcxx-ng: '>=12' + munch: '' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + setuptools: '' + shapely: '' + six: '>=1.7' + hash: + md5: 0f9f4c841c3122fb2942a5b53ef47fb5 + sha256: d6a6e6ace6a0d6935a4af107d860f1f9da3ec15aff72878b05af94db7015392b + manager: conda + name: fiona optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/dash-daq-0.5.0-pyh9f0ad1d_1.tar.bz2 - version: 0.5.0 + url: https://conda.anaconda.org/conda-forge/linux-64/fiona-1.8.22-py310ha325b7b_3.conda + version: 1.8.22 - category: full dependencies: ansi2html: '' @@ -4421,111 +4281,282 @@ package: traitlets: '>=5.1.0' websocket-client: '' hash: - md5: 81f31b184703349ea7280c49ca4b5b4e - sha256: b14fe42d7eab0cefe9140b2e21ab139a408c5f4b3b7ba9cfdd438ff3ed17490d + md5: c497ada2dbcb07e6912756f4ea709f65 + sha256: 125d721aa32f00c33078e8b5e0d76b5333e65afccd5631970e57eaadb9ab8858 manager: conda name: jupyter_server optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.21.0-pyhd8ed1ab_0.tar.bz2 - version: 1.21.0 + url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.23.3-pyhd8ed1ab_0.conda + version: 1.23.3 +- category: main + dependencies: + certifi: '>=2020.06.20' + contourpy: '>=1.0.1' + cycler: '>=0.10' + fonttools: '>=4.22.0' + freetype: '>=2.12.1,<3.0a0' + kiwisolver: '>=1.0.1' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + numpy: '>=1.21.6,<2.0a0' + packaging: '>=20.0' + pillow: '>=6.2.0' + pyparsing: '>=2.3.1' + python: '>=3.10,<3.11.0a0' + python-dateutil: '>=2.7' + python_abi: 3.10.* *_cp310 + tk: '>=8.6.12,<8.7.0a0' + hash: + md5: da51ddb20c0f99d672eb756c3abf27e7 + sha256: 58b84a4607bfbc3375d8dc3ec83cf324ae1df0261f51b6ef65023b5a725b79f8 + manager: conda + name: matplotlib-base + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.6.2-py310h8d5ebf3_0.tar.bz2 + version: 3.6.2 - category: full dependencies: - nbconvert-core: 7.2.3 pyhd8ed1ab_0 + nbconvert-core: 7.2.6 pyhd8ed1ab_0 pandoc: '' python: '>=3.7' hash: - md5: 895c58bc1aa507933ad2ed9759682d9f - sha256: 5f7f9a907a1897fbe2139b176650b780d738e4b2dd5daac03bfdd6b957be2ffa + md5: c75ece5b10744eb2db7e9faaa02e25eb + sha256: 51a768efc97c48b2d768a53d2c100253d04446d4feff037dd95bb5e37c778a86 manager: conda name: nbconvert-pandoc optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 +- category: main dependencies: - nbconvert-core: 7.2.3 pyhd8ed1ab_0 - nbconvert-pandoc: 7.2.3 pyhd8ed1ab_0 - python: '>=3.7' + numpy: '>=1.7' + python: '' + six: '' + vectormath: '>=0.1.4' hash: - md5: 7c1dbb2baf7c43c56fe1940a721f2678 - sha256: 207c88766cf465ce4f4a56e4439c83236a987fd737e4e83a9866f32b6e98747c + md5: 62052fa8409d12536ff149e25b0e9905 + sha256: 693596b821b28f8d9710e80a143816e55fc401b8cd2f0b0d777f5155bd3358f2 manager: conda - name: nbconvert - optional: true + name: properties + optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/properties-0.6.1-py_0.tar.bz2 + version: 0.6.1 +- category: main dependencies: - jupyter_server: '>=1.8,<3' - python: '>=3.7' + libgcc-ng: '>=12' + mkl: '>=2022.1.0,<2023.0a0' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + scipy: '>=0.13' hash: - md5: 45b287252fd17eccb002676623ba859c - sha256: c37fb11cdb79ec121948a3bd1bda4a6ad61e4d17cc78d9b6f845eb0680823277 + md5: 35402d207b798650a58e15f2a12335ef + sha256: 1a81cfce8a9bd81e6b6ed099ef1939ee53fd119dfe11c4169ad2422e245967aa manager: conda - name: notebook-shim - optional: true + name: pydiso + optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.0-pyhd8ed1ab_0.tar.bz2 - version: 0.2.0 -- category: full + url: https://conda.anaconda.org/conda-forge/linux-64/pydiso-0.0.3-py310h1dd1467_4.tar.bz2 + version: 0.0.3 +- category: main dependencies: - argon2-cffi: '' - ipykernel: '' - ipython_genutils: '' - jinja2: '' - jupyter_client: '>=6.1.1' - jupyter_core: '>=4.6.1' - jupyter_server: '>=1.17.0' - nbconvert: '>=5' - nbformat: '' - nest-asyncio: '>=1.5' - notebook-shim: '>=0.1.0' - prometheus_client: '' - python: '>=3.7' - pyzmq: '>=17' - send2trash: '>=1.8.0' - terminado: '>=0.8.3' - tornado: '>=6.1' - traitlets: '>=4.2.1' + joblib: '>=1.1.1' + libcblas: '>=3.9.0,<4.0a0' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + scipy: '' + threadpoolctl: '>=2.0.0' hash: - md5: 8d16bf3ba8cba7f702691767919d6bc6 - sha256: 2edf0741bf374b55163970127697846985ae9ac0576684ab9c80224ca810f060 + md5: 5a08a1f004445ee9bf58261feb16cc18 + sha256: 00733203bf459b9ca33b8c19ba7a57fca460aa266a6d98a5b111e8b199ed896d manager: conda - name: nbclassic - optional: true + name: scikit-learn + optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.4.5-pyhd8ed1ab_0.tar.bz2 - version: 0.4.5 + url: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.2.0-py310h209a8ca_0.conda + version: 1.2.0 +- category: full + dependencies: + imagecodecs: '>=2021.11.20' + numpy: '>=1.19.2' + python: '>=3.8' + hash: + md5: 1c126ff5b4643785bbc16e44e6327e41 + sha256: 85153fe85b205e01f62fcfddcc47c2c6a8cb6062d4e0e73e0a0a71f01a984f33 + manager: conda + name: tifffile + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2022.10.10-pyhd8ed1ab_0.tar.bz2 + version: 2022.10.10 +- category: main + dependencies: + asciitree: '' + fasteners: '' + numcodecs: '>=0.10.0' + numpy: '>=1.7' + python: '>=3.5' + hash: + md5: 7e212240cf03e35a6b3201010a1a1e12 + sha256: 522e72b5f4f1d49d73bdd7fc92a4e51efe86910460577646f553905969d11550 + manager: conda + name: zarr + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/zarr-2.13.3-pyhd8ed1ab_0.tar.bz2 + version: 2.13.3 +- category: main + dependencies: + future: '' + matplotlib-base: '' + numpy: '>=1.7' + properties: '' + python: '' + scipy: '>=0.13' + utm: '' + vectormath: '' + hash: + md5: 940c153c790eec5801d26ad7115d69bf + sha256: 6ef4cb86ab786166d39b6a55f2b5b9027f298d4aa7ba676d587b31cf80053ae5 + manager: conda + name: geoana + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/geoana-0.0.6-py_1.tar.bz2 + version: 0.0.6 +- category: full + dependencies: + nbconvert-core: 7.2.6 pyhd8ed1ab_0 + nbconvert-pandoc: 7.2.6 pyhd8ed1ab_0 + python: '>=3.7' + hash: + md5: cad325a4f09969426cd099d5c9f689f5 + sha256: b428afd52bcf4f395a423293c93f89c97fa71f03b019dc799542d45f429f9b7b + manager: conda + name: nbconvert + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 +- category: full + dependencies: + jupyter_server: '>=1.8,<3' + python: '>=3.7' + hash: + md5: 40be846cd4e78672a40e43db9dae753c + sha256: d798a6a1938e3efa1562d3477a0337720ce07ef571c8b0255d80089f285eaf8a + manager: conda + name: notebook-shim + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.2-pyhd8ed1ab_0.tar.bz2 + version: 0.2.2 +- category: main + dependencies: + numpy: '' + pydiso: '' + python: '>=3.6' + scipy: '' + hash: + md5: d824e3266c690c6b8c662cf19fa62b3f + sha256: e1d39044c41541a09ba846c51c2ba315858622dfb4e7eaebcb0823316159fab8 + manager: conda + name: pymatsolver + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/pymatsolver-0.2.0-pyhd8ed1ab_0.tar.bz2 + version: 0.2.0 +- category: full + dependencies: + cloudpickle: '>=0.2.1' + cytoolz: '>=0.7.3' + dask-core: '>=1.0.0,!=2.17.0' + imageio: '>=2.3.0' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + networkx: '>=2.2' + numpy: '>=1.21.6,<2.0a0' + packaging: '>=20.0' + pillow: '>=6.1.0,!=7.1.0,!=7.1.1,!=8.3.0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + pywavelets: '>=1.1.1' + scipy: '>=1.4.1' + tifffile: '>=2019.7.26' + toolz: '>=0.7.3' + hash: + md5: c0391107b0cd0010708d6969ed759e8b + sha256: 42943f4eb3fc0ae3207bcebfded7cd2e673746795f945918e0d6c33a2c79f5e4 + manager: conda + name: scikit-image + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/scikit-image-0.19.3-py310h769672d_2.tar.bz2 + version: 0.19.3 - category: full dependencies: argon2-cffi: '' ipykernel: '' ipython_genutils: '' jinja2: '' - jupyter_client: '>=5.3.4' + jupyter_client: '>=6.1.1' jupyter_core: '>=4.6.1' - nbclassic: 0.4.5 + jupyter_server: '>=1.17.0' nbconvert: '>=5' nbformat: '' + nest-asyncio: '>=1.5' + notebook-shim: '>=0.1.0' + prometheus_client: '' + python: '>=3.7' + pyzmq: '>=17' + send2trash: '>=1.8.0' + terminado: '>=0.8.3' + tornado: '>=6.1' + traitlets: '>=4.2.1' + hash: + md5: f4f150f83ed90a1b833e6081bbf38257 + sha256: e180247b54ef26df23ed4662a5ca6a04252b11624da22d21cd976479afea4417 + manager: conda + name: nbclassic + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.4.8-pyhd8ed1ab_0.tar.bz2 + version: 0.4.8 +- category: full + dependencies: + argon2-cffi: '' + ipykernel: '' + ipython_genutils: '' + jinja2: '' + jupyter_client: '>=5.3.4' + jupyter_core: '>=4.6.1' + nbclassic: '>=0.4.7' + nbconvert-core: '>=5' + nbformat: '' + nest-asyncio: '>=1.5' prometheus_client: '' python: '>=3.7' pyzmq: '>=17' - send2trash: '>=1.5.0' + send2trash: '>=1.8.0' terminado: '>=0.8.3' tornado: '>=6.1' traitlets: '>=4.2.1' hash: - md5: 16d5690e1f1cf716b6adf33a2a54dce5 - sha256: 7f1f249181459591083c4b99e3981a7c0933365deace3a75f72bfaca3256305a + md5: 7bf26ca095481f206e6f9dd7681085fe + sha256: 59b8f5923f5400e8d52a1bc7ad307add6953fa09f332cb745e22ef1e05b05acc manager: conda name: notebook optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.1-pyha770c72_0.tar.bz2 - version: 6.5.1 + url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.2-pyha770c72_1.tar.bz2 + version: 6.5.2 - category: full dependencies: notebook: '>=5.3' @@ -4615,14 +4646,27 @@ package: utm: '*' vectormath: '>=0.2.0' hash: - sha256: b1343e81535c83051201ae5aefef4d301effe04e5786bd19e3ce15ffb69471c7 + sha256: 35ba6d0f6ff81770caf1ea7599ba62f3b13b23c14091fec35e9d751c0aca793e manager: pip name: mira-simpeg optional: false platform: linux-64 source: null - url: https://files.pythonhosted.org/packages/0f/00/ac96a8523e2327727bc14577ec06507d76fd9e258cf4689dc06334eb0e1f/Mira_SimPEG-0.15.1.dev6-py2.py3-none-any.whl - version: 0.15.1.dev6 + url: https://files.pythonhosted.org/packages/f0/6e/d27a5faf1fc1bda17a119bb3f021f8d91597f0fbd1f85630bf9e6dfd63a4/Mira_SimPEG-0.15.1.dev7-py2.py3-none-any.whl + version: 0.15.1.dev7 +- category: main + dependencies: + geoh5py: '>=0.5.0,<0.6.0' + numpy: '>=1.21.5,<2.0.0' + hash: + sha256: c73020238558b1ececd1ad6e01b76dac8272dda46f3361a034315bd40b341d9d + manager: pip + name: param-sweeps + optional: false + platform: linux-64 + source: null + url: https://files.pythonhosted.org/packages/86/9a/cf12141da920feeb4b80833bd54f01d11c7b58b3f7f7c5ec19d2a45127f8/param_sweeps-0.1.3-py3-none-any.whl + version: 0.1.3 - category: main dependencies: {} hash: @@ -4648,14 +4692,14 @@ package: - category: main dependencies: {} hash: - md5: 67b268c32433047914482def1ce215c2 - sha256: e1c929207f8a8e03fa86150c3b446f3511f35b2146d3031de305088c3b148c58 + md5: af2bdcd68f16ce030ca957cdeb83d88a + sha256: 898276d86de89fb034ecfae05103045d0a0d6a356ced1b6d1832cdbd07a8fc18 manager: conda name: ca-certificates optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2022.9.24-h033912b_0.tar.bz2 - version: 2022.9.24 + url: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2022.12.7-h033912b_0.conda + version: 2022.12.7 - category: full dependencies: {} hash: @@ -4868,14 +4912,14 @@ package: - category: main dependencies: {} hash: - md5: 5d5ab9ab83ce21422be84ecfd3142201 - sha256: dfe2fa815471c2638a009eb47969605730d92c3af3f183295587e34f996d2f30 + md5: 3a900993deb973d86d98361ceef49ab3 + sha256: d8b65c6bd88a6508bc0ed3c03edfdf4c05d55024b2bf43dd5f61bec69f3bb87e manager: conda name: llvm-openmp optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-14.0.4-ha654fa7_0.tar.bz2 - version: 14.0.4 + url: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-15.0.6-h61d9ccf_0.conda + version: 15.0.6 - category: main dependencies: {} hash: @@ -4931,28 +4975,39 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/osx-64/pthread-stubs-0.4-hc929b4f_1001.tar.bz2 version: '0.4' +- category: main + dependencies: {} + hash: + md5: 42da9b0138e911cd5b2f75b0278e26dc + sha256: 0a66852c47be6b28b70bde29891a71d047730c723355d44b0da48db79fb99eb1 + manager: conda + name: python_abi + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.10-3_cp310.conda + version: '3.10' - category: full dependencies: {} hash: - md5: ed1bdb5cc17e81b331008b5d0cf41088 - sha256: 3d3bf2ff1eb79f5d045a77b40661bb74af0ab289751948ac327150d3187774d0 + md5: f1bf42ae6c2a752b4c064140365563c2 + sha256: da3f2c43081a5f2b24168ee138ee3f499b60039d8c9a0421dc962c4cb81105ae manager: conda name: tzcode optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/tzcode-2022e-hb7f2c08_0.tar.bz2 - version: 2022e + url: https://conda.anaconda.org/conda-forge/osx-64/tzcode-2022g-hb7f2c08_0.conda + version: 2022g - category: main dependencies: {} hash: - md5: e366350e2343a798e29833286abe2560 - sha256: 419eaff0d20f418974ca27a40bc871bbe48217dba05936f147a574eb5f079005 + md5: 51fc4fcfb19f5d95ffc8c339db5068e8 + sha256: 0bfae0b9962bc0dbf79048f9175b913ed4f53c4310d06708dc7acbb290ad82f6 manager: conda name: tzdata optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2022f-h191b570_0.tar.bz2 - version: 2022f + url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2022g-h191b570_0.conda + version: 2022g - category: main dependencies: {} hash: @@ -5061,16 +5116,16 @@ package: version: '1' - category: full dependencies: - libcxx: '>=13.0.1' + libcxx: '>=14.0.6' hash: - md5: c7e2d591b477ceb4fc8a1190a5c9cb8e - sha256: d92573b2ea8a3d7a7518a140e04c9ed74ce2c01f1e3ede0004a51ee8e536a301 + md5: b8ac0c20383087c33ac8e5e330072832 + sha256: 6e6bbc66cf21e23f13910b4c96847f8598b699ca52d2c735c8f57f354f91f2e6 manager: conda name: geos optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/geos-3.11.0-hb486fe8_0.tar.bz2 - version: 3.11.0 + url: https://conda.anaconda.org/conda-forge/osx-64/geos-3.11.1-hf0c8a7f_0.tar.bz2 + version: 3.11.1 - category: full dependencies: libiconv: '>=1.17,<2.0a0' @@ -5159,13 +5214,13 @@ package: dependencies: llvm-openmp: '>=8.0.0' hash: - md5: 2c8fd85ee58fc04f8cc52aaa28bceca3 - sha256: 599cade7d68b6bd1b79db1b0ab24cdfd0b310c47e74d1f55c78761eb66e0e62f + md5: 11835360754e5caca43cfaa3a81dfca5 + sha256: 5d259b0e7992f064036f6cda6e22ba7eeee507b8edbcf262cd967f2e5389ef94 manager: conda name: libgfortran5 optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libgfortran5-11.3.0-h082f757_25.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/libgfortran5-11.3.0-h082f757_26.tar.bz2 version: 11.3.0 - category: main dependencies: @@ -5182,28 +5237,28 @@ package: version: 11.1.0 - category: main dependencies: - libzlib: '>=1.2.12,<1.3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: 3954555b5b02b117119cb806d5dcfcd8 - sha256: 8bcc76d644202cde53252a2274f8a3fe28650ba273148ce027337c576276d6f3 + md5: 35e4928794c5391aec14ffdf1deaaee5 + sha256: 5ad9f5e96e6770bfc8b0a826f48835e7f337c2d2e9512d76027a62f9c120b2a3 manager: conda name: libpng optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libpng-1.6.38-ha978bb4_0.tar.bz2 - version: 1.6.38 + url: https://conda.anaconda.org/conda-forge/osx-64/libpng-1.6.39-ha978bb4_0.conda + version: 1.6.39 - category: main dependencies: - libzlib: '>=1.2.12,<1.3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: 28060fa753417bdd4e66da2048951dd1 - sha256: 3fc6bd39468480b12166b4450731f6a517780590aa3cbfcd812f71b4c9a6946b + md5: ceb13b6726534b96e3b4e3dda91e9050 + sha256: ae19f866188cc0c514fed754468460ae9e8dd763ebbd7b7afc4e818d71844297 manager: conda name: libsqlite optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.39.4-ha978bb4_0.tar.bz2 - version: 3.39.4 + url: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.40.0-ha978bb4_0.tar.bz2 + version: 3.40.0 - category: main dependencies: pthread-stubs: '' @@ -5244,53 +5299,53 @@ package: version: 1.9.3 - category: full dependencies: - libcxx: '>=11.1.0' + libcxx: '>=14.0.6' hash: - md5: 8d7d6d0d86b10bd80e2096058c240a45 - sha256: 0384690469af309024db6daebc3008419808f378c58c1ab773df86b761ffb5ca + md5: a9e56c98d13d8b7ce72bf4357317c29b + sha256: da6e19bd0ff31e219760e647cfe1cc499a8cdfaff305f06c56d495ca062b86de manager: conda name: nspr optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/nspr-4.32-hcd9eead_1.tar.bz2 - version: '4.32' + url: https://conda.anaconda.org/conda-forge/osx-64/nspr-4.35-hea0b92c_0.conda + version: '4.35' - category: main dependencies: ca-certificates: '' hash: - md5: 78d8266753a5db378ef0f9302be9990f - sha256: 6410b7cb71f33e63f815a377b378c598e2c4a28493f29f0eb73893cecf3c20d7 + md5: 7a3fb6d40e0aa5dbb5b4ef54462f00a8 + sha256: 3eb19686ae870daae035582cb93253a6435f71baf537addced41be449b4daf67 manager: conda name: openssl optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.0.7-hfd90126_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.0.7-hfd90126_1.conda version: 3.0.7 - category: full dependencies: - libcxx: '>=11.1.0' + bzip2: '>=1.0.8,<2.0a0' + libzlib: '>=1.2.12,<1.3.0a0' hash: - md5: 0526850419e04ac003bc0b65a78dc4cc - sha256: 8002279cf4084fbf219f137c2bdef2825d076a5a57a14d1d922d7c5fa7872a5c + md5: e0f80c8f3a0352a54eddfe59cd2b25b1 + sha256: 60265b48c96decbea89a19a7bc34be88d9b95d4725fd4dbdae158529c601875a manager: conda - name: pcre + name: pcre2 optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/pcre-8.45-he49afe7_0.tar.bz2 - version: '8.45' + url: https://conda.anaconda.org/conda-forge/osx-64/pcre2-10.40-h1c4e4bc_0.tar.bz2 + version: '10.40' - category: full dependencies: - bzip2: '>=1.0.8,<2.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + libcxx: '>=11.1.0' hash: - md5: 4aea99dd6f062a6cebafbb0d363807fa - sha256: 6bcbb5bda880e58e3172cc604dff2e84b68fb4431c814a6b03d1a476b94b00e6 + md5: 031bd4afafd89fff7bef4fb6c9f49058 + sha256: a1dff011b3f314ee417a7bd626eecbc44d536b20e51884d378cfc89cc8e90a45 manager: conda - name: pcre2 + name: qhull optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/pcre2-10.37-h3f55489_1.tar.bz2 - version: '10.37' + url: https://conda.anaconda.org/conda-forge/osx-64/qhull-2020.2-h940c156_2.tar.bz2 + version: '2020.2' - category: main dependencies: ncurses: '>=6.3,<7.0a0' @@ -5305,28 +5360,28 @@ package: version: 8.1.2 - category: full dependencies: - libcxx: '>=13.0.1' + libcxx: '>=14.0.4' hash: - md5: ffa92d111ec90eec8ffc09220a9c5aba - sha256: 646a0a0cfa679272f8c4794767cf18d61eb138236e9a7b779b6cdd10031a06ec + md5: eb2c4c3544099a357db4c02eda1a0766 + sha256: 4f53a0f9d3593611554abcca9d7d5d8afcbe288237e02fd71be3b7e22c4bab1a manager: conda name: snappy optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/snappy-1.1.9-h6e38e02_1.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/snappy-1.1.9-h225ccf5_2.tar.bz2 version: 1.1.9 - category: main dependencies: - libcxx: '>=14.0.4' + libcxx: '>=14.0.6' hash: - md5: a61183103765b09fcf26b564f75b4904 - sha256: fbf980b92f1e1fb522410525b87a1499904967abdaedd2cdef815da3e368f526 + md5: 1d7d711419ed9e4a96370d8749cec3c1 + sha256: bb1d644bc47fb415bfe8cdb5ee2be1558cb3952798f862ac4bc4e3a8c743428e manager: conda name: tbb optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/tbb-2021.6.0-hb8565cd_1.tar.bz2 - version: 2021.6.0 + url: https://conda.anaconda.org/conda-forge/osx-64/tbb-2021.7.0-hb8565cd_1.conda + version: 2021.7.0 - category: main dependencies: libzlib: '>=1.2.11,<1.3.0a0' @@ -5392,20 +5447,20 @@ package: version: 1.5.2 - category: full dependencies: - libcxx: '>=13.0.1' - libzlib: '>=1.2.11,<1.3.0a0' + libcxx: '>=14.0.6' + libzlib: '>=1.2.13,<1.3.0a0' lz4-c: '>=1.9.3,<1.10.0a0' snappy: '>=1.1.9,<2.0a0' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: c7bcd688fb5236757648a8b85b8fb7f0 - sha256: 518057cef4b20f86ea7df4000e2a69fd87da4f9924d9e52d89517b0c200d3cf3 + md5: 2e726e782e57ba3e70f2e85891377cd5 + sha256: 7a7b353be94c36461eacf181b574a0154a00f49d449c4b4046f332f132778959 manager: conda name: blosc optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/blosc-1.21.1-h97e831e_3.tar.bz2 - version: 1.21.1 + url: https://conda.anaconda.org/conda-forge/osx-64/blosc-1.21.2-hebb52c4_0.conda + version: 1.21.2 - category: full dependencies: bzip2: '>=1.0.8,<2.0a0' @@ -5438,19 +5493,19 @@ package: version: 1.0.9 - category: full dependencies: - libcxx: '>=14.0.4' + libcxx: '>=14.0.6' lz4-c: '>=1.9.3,<1.10.0a0' zlib-ng: '>=2.0.6,<2.1.0a0' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 6abb27f10b8d97369f4f6a89db483ea7 - sha256: 87311881e613a89f1333b48146aa91c98180d1cf269f61f85ada2aa2279e7eed + md5: 9783aa8a3cb5fab3bee979b9d3b6bf37 + sha256: 3cd0d090c0111b5f784c49c7e2f6108cf026d6407754fcfbdfc12af7a6e4252e manager: conda name: c-blosc2 optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/c-blosc2-2.4.3-had5f71b_0.tar.bz2 - version: 2.4.3 + url: https://conda.anaconda.org/conda-forge/osx-64/c-blosc2-2.6.0-had5f71b_0.conda + version: 2.6.0 - category: full dependencies: fonts-conda-forge: '' @@ -5465,16 +5520,16 @@ package: version: '1' - category: main dependencies: - libpng: '>=1.6.37,<1.7.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + libpng: '>=1.6.39,<1.7.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: 6afb5b1664496c575117efe9aa2c9ba9 - sha256: 73b9b2eeb53fee81109cef859d3bb0bd032834cc31771af3529173dab9a17781 + md5: 852224ea3e8991a8342228eab274840e + sha256: 0aea2b93d0da8bf022501857de93f2fc0e362fabcd83c4579be8d8f5bc3e17cb manager: conda name: freetype optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/freetype-2.12.1-h3f81eb7_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/freetype-2.12.1-h3f81eb7_1.conda version: 2.12.1 - category: full dependencies: @@ -5522,13 +5577,13 @@ package: dependencies: libgfortran5: '' hash: - md5: 5258ded23560cdebf95cef1df827065b - sha256: d8157284166a69cd12e43a75da5a135d529c899428201314902a4d4992afa7b1 + md5: ac9c1a84323edab6c3ff9d3e586ab3cc + sha256: 9d16c9935383992cd52c99492bbc254132edef9b775cee848ec5a52d8b314209 manager: conda name: libgfortran optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libgfortran-5.0.0-10_4_0_h97931a8_25.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/libgfortran-5.0.0-9_5_0_h97931a8_26.tar.bz2 version: 5.0.0 - category: full dependencies: @@ -5537,15 +5592,15 @@ package: libffi: '>=3.4,<4.0a0' libiconv: '>=1.17,<2.0a0' libzlib: '>=1.2.13,<1.3.0a0' - pcre2: '>=10.37,<10.38.0a0' + pcre2: '>=10.40,<10.41.0a0' hash: - md5: 6b6b943399bbdf9918f989c363375365 - sha256: 7fd0617aa7772b8592812f4f0a175f5977af699404995cf5b76c172e567d1bf0 + md5: 68a698fe240032c2ff587028ed51b155 + sha256: f9e2d0453b5ebc35022bc50c210728e56169ccd4fc2c5c9773dcb228a58868b0 manager: conda name: libglib optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libglib-2.74.1-h3ba3332_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/libglib-2.74.1-h4c723e1_1.tar.bz2 version: 2.74.1 - category: main dependencies: @@ -5565,16 +5620,16 @@ package: version: 1.47.0 - category: full dependencies: - geos: '>=3.11.0,<3.11.1.0a0' - libcxx: '>=13.0.1' + geos: '>=3.11.1,<3.11.2.0a0' + libcxx: '>=14.0.6' hash: - md5: cbe0c3c20a8b3069c84659eb4540f0cb - sha256: fb7abf6f9ca8cd700f82c8a749e0f5a641d22fdd1ec7443437a6592818ca51d4 + md5: cbf6767a38ffbc9be29cf26045e81faf + sha256: 16b4ac4a136411cac709a88dabc628bc9ca4971ba31820b29a67a13788a79db3 manager: conda name: librttopo optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/librttopo-1.1.0-he07d8f5_11.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/librttopo-1.1.0-h9461dca_12.tar.bz2 version: 1.1.0 - category: main dependencies: @@ -5639,53 +5694,65 @@ package: version: 1.9.2 - category: main dependencies: - llvm-openmp: '>=13.0.1' + llvm-openmp: '>=14.0.6' tbb: 2021.* hash: - md5: 98a4d58de0ba6e61ce46620b775c19ce - sha256: 56548424d3c74f2249ef567e5422f83a3ed7c81be1ffebe0034668b44d763854 + md5: a51e7035c0075d4341942a5894ef20b9 + sha256: 70896885df3cf031ac547c42f27384f769f190bc2bfb9e2520a7ef2c34db4806 manager: conda name: mkl optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/mkl-2022.1.0-h860c996_928.tar.bz2 - version: 2022.1.0 + url: https://conda.anaconda.org/conda-forge/osx-64/mkl-2022.2.1-h44ed08c_16952.conda + version: 2022.2.1 - category: main dependencies: bzip2: '>=1.0.8,<2.0a0' - libffi: '>=3.4.2,<3.5.0a0' - libsqlite: '>=3.39.2,<4.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + libffi: '>=3.4,<4.0a0' + libsqlite: '>=3.40.0,<4.0a0' + libzlib: '>=1.2.13,<1.3.0a0' ncurses: '>=6.3,<7.0a0' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' readline: '>=8.1.2,<9.0a0' tk: '>=8.6.12,<8.7.0a0' tzdata: '' - xz: '>=5.2.6,<5.3.0a0' + xz: '>=5.2.6,<6.0a0' hash: - md5: 9b19a68323edeaedb2ee94942c1ec017 - sha256: 0bb4f82766abefc18653aac7a5c58d329ce7246dccd975100d5888dc851373e0 + md5: 4b6976686db5f16650df28332d84ce9e + sha256: b001073de81761dc30848a55e92fd2eb4cb9fc60c2809afa0987c2a7d7f621f9 manager: conda name: python optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/python-3.10.6-hc14f532_0_cpython.tar.bz2 - version: 3.10.6 + url: https://conda.anaconda.org/conda-forge/osx-64/python-3.10.8-he7542f4_0_cpython.conda + version: 3.10.8 - category: full dependencies: - libsqlite: 3.39.4 ha978bb4_0 - libzlib: '>=1.2.12,<1.3.0a0' + libsqlite: 3.40.0 ha978bb4_0 + libzlib: '>=1.2.13,<1.3.0a0' ncurses: '>=6.3,<7.0a0' readline: '>=8.1.2,<9.0a0' hash: - md5: 14e2dbb73e122e10858790f664d9636b - sha256: af69137ec8e4dd85adb4f779cdf034022fff952bc09809c2a95b6b9026f48095 + md5: b66b0b11f1b901f3c2bce9406bedfd40 + sha256: 6dac7b1a5b2111a0781735050b3cf8dd1dbbf0253b0bd857863c1d9e6e26beab manager: conda name: sqlite optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/sqlite-3.39.4-h9ae0607_0.tar.bz2 - version: 3.39.4 + url: https://conda.anaconda.org/conda-forge/osx-64/sqlite-3.40.0-h9ae0607_0.tar.bz2 + version: 3.40.0 +- category: full + dependencies: + python: 3.10.* + hash: + md5: e3f19766a5bf40d587e507670a9e2cf8 + sha256: 3a4e5f4ff6c1baaffdb70745f0d2267c1c8e92d518fcdf0ac400a02cd125d136 + manager: conda + name: _ipython_minor_entry_point + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/_ipython_minor_entry_point-8.7.0-hb6b4a82_0.conda + version: 8.7.0 - category: full dependencies: python: '>=2.7' @@ -5736,15 +5803,15 @@ package: version: 0.2.0 - category: full dependencies: - python: '' + python: '>=2.7' hash: - md5: 0da16b293affa6ac31812376f8eb79dd - sha256: a584e690dbb042779af83abaa87a54764278c0a53bf5256ff8f5b0f0061ac283 + md5: 54ca2e08b3220c148a1d8329c2678e02 + sha256: 711602276ae39276cb0faaca6fd0ac851fff0ca17151917569174841ef830bbd manager: conda name: backports optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/backports-1.0-py_2.tar.bz2 + url: https://conda.anaconda.org/conda-forge/noarch/backports-1.0-pyhd8ed1ab_3.conda version: '1.0' - category: main dependencies: @@ -5760,6 +5827,20 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/osx-64/brotli-1.0.9-hb7f2c08_8.tar.bz2 version: 1.0.9 +- category: full + dependencies: + libcxx: '>=14.0.4' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 2b67de36ce20513eedb0c19dee49bb83 + sha256: d9845fc2aaaad97675adabdb6cd172c98020502b3f90195696302f5125e08f6d + manager: conda + name: brotli-python + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.0.9-py310h7a76584_8.tar.bz2 + version: 1.0.9 - category: main dependencies: python: '>=3.6' @@ -5776,14 +5857,14 @@ package: dependencies: python: '>=3.7' hash: - md5: f66309b099374af91369e67e84af397d - sha256: 52e7459b3c457e888e2b6a4e6d13ab7f8675999bc12d20a83e34f12591a8771a + md5: fb9addc3db06e56abe03e0e9f21a63e6 + sha256: 5e22af4776700200fab2c1df41a2188ab9cfe90a50c4f388592bb978562c88ec manager: conda name: certifi optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/certifi-2022.9.24-pyhd8ed1ab_0.tar.bz2 - version: 2022.9.24 + url: https://conda.anaconda.org/conda-forge/noarch/certifi-2022.12.7-pyhd8ed1ab_0.conda + version: 2022.12.7 - category: dev dependencies: python: '>=3.6' @@ -5845,6 +5926,20 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.11.0-pyhd8ed1ab_0.tar.bz2 version: 0.11.0 +- category: full + dependencies: + libcxx: '>=14.0.6' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 5fa5b2464a8346731a14e6312b2fbbc4 + sha256: 9d22c85620c4470e36d6f81b00e1d62661ac51211f58d20e8575d617110379f5 + manager: conda + name: debugpy + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.6.4-py310h7a76584_0.conda + version: 1.6.4 - category: full dependencies: python: '>=3.5' @@ -5897,14 +5992,14 @@ package: dependencies: python: '>=3.7' hash: - md5: da409b864dc21631820c81973df42587 - sha256: 201c07a4e0489f864ce25b5f1b132f672bee7647c21f65f9a273d710c4163ebd + md5: e0734d1f12de77f9daca98bda3428733 + sha256: abd2795af746b666b93ee42baf4de3ebaad82435b8291b6485325ecbc9d49f56 manager: conda name: exceptiongroup optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.0.0-pyhd8ed1ab_0.tar.bz2 - version: 1.0.0 + url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.0.4-pyhd8ed1ab_0.tar.bz2 + version: 1.0.4 - category: full dependencies: python: '>=2.7' @@ -5933,14 +6028,14 @@ package: dependencies: python: '>=3.6' hash: - md5: f93822cba5c20161560661988a88f2c0 - sha256: f56157ce4b55ef46a4fa4fe875703468e362b983099f864b740fd99aa80bbdbb + md5: 6d5e56de2e65da7aa35fd10131226efa + sha256: 251e79241eadab363eeaaf20f118423571e1a90ef351ae78e1c4574c53c8526c manager: conda name: flit-core optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/flit-core-3.7.1-pyhd8ed1ab_0.tar.bz2 - version: 3.7.1 + url: https://conda.anaconda.org/conda-forge/noarch/flit-core-3.8.0-pyhd8ed1ab_0.tar.bz2 + version: 3.8.0 - category: full dependencies: expat: '>=2.4.9,<3.0a0' @@ -5959,14 +6054,14 @@ package: dependencies: python: '>=3.6' hash: - md5: ee4d78b97e857cb8d845c8fa4c898433 - sha256: 30ab06e5a472d7e1faed5b2189010345ab26be3e98460f5a5362c2651814014a + md5: eb919f2119a6db5d0192f9e9c3711572 + sha256: 1ba0e6a0c6f023753b6766fda092b333485a7c640f1069a64d003570c652bddb manager: conda name: fsspec optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2022.10.0-pyhd8ed1ab_0.tar.bz2 - version: 2022.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2022.11.0-pyhd8ed1ab_0.tar.bz2 + version: 2022.11.0 - category: main dependencies: python: '>=3.8' @@ -6051,6 +6146,33 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_widgets-1.1.1-pyhd8ed1ab_0.tar.bz2 version: 1.1.1 +- category: main + dependencies: + libcxx: '>=14.0.4' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: cc358fb878ac593c60cea08b28ac7423 + sha256: 6b48d27a14c68978d7bfd4e676a366db64264edd7d7bb5545e9c54aee2a8aea4 + manager: conda + name: kiwisolver + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/kiwisolver-1.4.4-py310ha23aa8a_1.tar.bz2 + version: 1.4.4 +- category: dev + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: f7962de893680c47dabf969c0ac7654c + sha256: 0f52fae604c160c4a82ac2947cc105df97b8938708ceb4fb2492e5f09328bd49 + manager: conda + name: lazy-object-proxy + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/lazy-object-proxy-1.8.0-py310h90acd4f_0.tar.bz2 + version: 1.8.0 - category: main dependencies: jpeg: '>=9e,<10a' @@ -6082,15 +6204,15 @@ package: libnghttp2: '>=1.47.0,<2.0a0' libssh2: '>=1.10.0,<2.0a0' libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' hash: - md5: 2fed2006d68eb12f8aef504f81c75ab9 - sha256: 258cd299cb98ba80eac82184bb7757c7d0307fd7e39d4a0ce5d962fb3f8ac312 + md5: af83102fc53762fb78e27657b540756f + sha256: f76129b5fbb7d08a1457ce36eb16b32da470ccd5ad8e498265c97750ccddd921 manager: conda name: libcurl optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libcurl-7.86.0-h581aaea_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/libcurl-7.86.0-h581aaea_1.tar.bz2 version: 7.86.0 - category: full dependencies: @@ -6112,20 +6234,35 @@ package: dependencies: krb5: '>=1.19.3,<1.20.0a0' libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' - readline: '>=8.1.2,<9.0a0' + openssl: '>=3.0.7,<4.0a0' hash: - md5: 3b23941f15c1078edaee9a761785b907 - sha256: b1a8407fc8fb07178499432d01d2f1f54822f63a2756428c5873a06064834538 + md5: 4f2e19659e71825ac16e36a8f83d0a9c + sha256: e719fcd70c40df1465a66992fa7bfa937ef4965cb3d09cc382afa9b4894fcc1e manager: conda name: libpq optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libpq-14.5-hd79e848_1.tar.bz2 - version: '14.5' + url: https://conda.anaconda.org/conda-forge/osx-64/libpq-15.1-hb1ae2b1_1.conda + version: '15.1' - category: main dependencies: - python: '>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*' + libcxx: '>=14.0.4' + libllvm11: '>=11.1.0,<11.2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 50be72775bc4e8db5c65c2a274febea2 + sha256: 00878cc3bce34e944b5761ecad5033661aa7b3533f072243bdaae026e93d7871 + manager: conda + name: llvmlite + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/llvmlite-0.39.1-py310h2bfb868_1.tar.bz2 + version: 0.39.1 +- category: main + dependencies: + python: '>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*' hash: md5: 91e27ef3d05cc772ce627e51cff111c4 sha256: 9afe0b5cfa418e8bdb30d8917c5a6cec10372b037924916f1f85b9f4899a67a6 @@ -6135,6 +6272,19 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2 version: 1.0.0 +- category: main + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 232c20719e4290fa284ae1e9a4661dfa + sha256: 45aa996770bb49fdd6bc68e24b301932c2bb592522e3798f0c80e0206c352b8b + manager: conda + name: markupsafe + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/markupsafe-2.1.1-py310h90acd4f_2.tar.bz2 + version: 2.1.1 - category: dev dependencies: python: '>=3.6' @@ -6159,6 +6309,20 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/mistune-2.0.4-pyhd8ed1ab_0.tar.bz2 version: 2.0.4 +- category: main + dependencies: + libcxx: '>=14.0.4' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 164e856479d735e96fcbd547afa70251 + sha256: c8311366a2858a24b3ac65fa1c6f8ca63f83528bbb2f6825cdf56d30047d022b + manager: conda + name: msgpack-python + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/msgpack-python-1.0.4-py310ha23aa8a_1.tar.bz2 + version: 1.0.4 - category: main dependencies: python: '' @@ -6187,14 +6351,14 @@ package: dependencies: python: '>=3.8' hash: - md5: 1b74438a7270b1e2cbd3de9dba18ebb6 - sha256: eda4b0dba46c72770bc410c794f4da62509623a24c12b9805954828278915dc7 + md5: bb45ff9deddb045331fd039949f39650 + sha256: a8e3531fdb6f9acfde885dd94c8639c020013215dab98ff4ed82db7aa745277a manager: conda name: networkx optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/networkx-2.8.7-pyhd8ed1ab_0.tar.bz2 - version: 2.8.7 + url: https://conda.anaconda.org/conda-forge/noarch/networkx-2.8.8-pyhd8ed1ab_0.tar.bz2 + version: 2.8.8 - category: full dependencies: libcxx: '>=13.0.1' @@ -6225,6 +6389,18 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/osx-64/openjpeg-2.5.0-h5d0d7b0_1.tar.bz2 version: 2.5.0 +- category: main + dependencies: + python: '>=3.7' + hash: + md5: 0e8e1bd93998978fc3125522266d12db + sha256: 163f26e55246c506a75551ca01f35c7d4d533aee6db5c4cf2d598ae253e956b8 + manager: conda + name: packaging + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/packaging-22.0-pyhd8ed1ab_0.conda + version: '22.0' - category: full dependencies: python: '!=3.0,!=3.1,!=3.2,!=3.3' @@ -6277,14 +6453,14 @@ package: dependencies: python: '>=3.7' hash: - md5: 2fb3f88922e7aec26ba652fcdfe13950 - sha256: a46843e317318405a8c66b640e7ad0c95d2f536918faa4f36cdfcda852000bcd + md5: b1b2ab02d1ece1719f7fa002ad4bc70d + sha256: 84f269198487823eaf5dbd1f1dd62f2f04c5dd98b66bb7e043cc6478dbf04f2e manager: conda name: platformdirs optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-2.5.2-pyhd8ed1ab_1.tar.bz2 - version: 2.5.2 + url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-2.6.0-pyhd8ed1ab_0.conda + version: 2.6.0 - category: dev dependencies: python: '>=3.8' @@ -6309,6 +6485,19 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.15.0-pyhd8ed1ab_0.tar.bz2 version: 0.15.0 +- category: main + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 853c27367c8b975a8d3c66a5eb6ec1b1 + sha256: db42f5ff3e2b96e4dbb8e57f625ff981a96e8708f87c564a1c06097a244a40bf + manager: conda + name: psutil + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/psutil-5.9.4-py310h90acd4f_0.tar.bz2 + version: 5.9.4 - category: full dependencies: python: '' @@ -6357,6 +6546,19 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.0.9-pyhd8ed1ab_0.tar.bz2 version: 3.0.9 +- category: full + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 8da890755e0fdbdbfb02a474891c7a59 + sha256: 9e630471031658c4d37974bb5cfb46a520653d180ca032a04581a338e015a321 + manager: conda + name: pyrsistent + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/pyrsistent-0.19.2-py310h90acd4f_0.tar.bz2 + version: 0.19.2 - category: main dependencies: __unix: '' @@ -6384,28 +6586,46 @@ package: version: 2.16.2 - category: main dependencies: - python: 3.10.* + python: '>=3.6' hash: - md5: 502ca4a8b43b424316f380d864832877 - sha256: c79e3da64d6f79377d58d6313463001c7520a23141466816ccb07aed8700afc2 + md5: b1f26ad83328e486910ef7f6e81dc061 + sha256: d82fa6df6707afaf7e9f7034c810ced6e5c2b313ce9bf49eeee613b0711da0ab manager: conda - name: python_abi + name: pytz optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.10-2_cp310.tar.bz2 - version: '3.10' + url: https://conda.anaconda.org/conda-forge/noarch/pytz-2022.6-pyhd8ed1ab_0.tar.bz2 + version: '2022.6' - category: main dependencies: - python: '>=3.6' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + yaml: '>=0.2.5,<0.3.0a0' hash: - md5: 565724d09157870f0e469b1a0a172a6d - sha256: 0fc68b442d74920858fe7e4760c10efb22610fb27f28d2bfe98296b7ef2078f0 + md5: e0ba2009f52ccda088c63dedf0d1c5ec + sha256: ab7b2b8fef9adc4211834054d004f3e286161bb3e1dcb17d4b974fae4f87b31b manager: conda - name: pytz + name: pyyaml optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytz-2022.5-pyhd8ed1ab_0.tar.bz2 - version: '2022.5' + url: https://conda.anaconda.org/conda-forge/osx-64/pyyaml-6.0-py310h90acd4f_5.tar.bz2 + version: '6.0' +- category: full + dependencies: + libcxx: '>=14.0.4' + libsodium: '>=1.0.18,<1.0.19.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + zeromq: '>=4.3.4,<4.4.0a0' + hash: + md5: 37780d9e5fb65a36eb94ef47a0f8b862 + sha256: c233600245fcd3b5c7f762a562ee9d4a90f4177336036c11a5533c0d722e10b4 + manager: conda + name: pyzmq + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/pyzmq-24.0.1-py310hf615a82_1.tar.bz2 + version: 24.0.1 - category: full dependencies: python: '>=3.6' @@ -6422,14 +6642,14 @@ package: dependencies: python: '>=3.7' hash: - md5: 462466739c786f85f9ed555f87099fe1 - sha256: 8c1e25e2aae26973bbfe074dcb34a8b4904357048f4e83cb21e8843ee36c1fd5 + md5: cfb8dc4d9d285ca5fb1177b9dd450e33 + sha256: 55521371cfbd1bc046c362a108f9b8e294c35604896757659c6fb6765b6955c2 manager: conda name: setuptools optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/setuptools-65.5.0-pyhd8ed1ab_0.tar.bz2 - version: 65.5.0 + url: https://conda.anaconda.org/conda-forge/noarch/setuptools-65.5.1-pyhd8ed1ab_0.tar.bz2 + version: 65.5.1 - category: main dependencies: python: '' @@ -6550,18 +6770,31 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/toolz-0.12.0-pyhd8ed1ab_0.tar.bz2 version: 0.12.0 +- category: main + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 84d43324014a93910f008ada676ca542 + sha256: e1e7ad2c24147d9023fff99c708c892161a9c4be3ff324ef731ba2f884302b46 + manager: conda + name: tornado + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.1-py310h1961e1f_3.tar.bz2 + version: '6.1' - category: full dependencies: python: '>=3.7' hash: - md5: 63650c013737b2801811bcd94524e863 - sha256: c5a333fa75f4d9ef577631a0ec6a3eb9d3538b5bc873286679cb3851419bf55b + md5: 96a8c913bcd01dd9ab7360290aeb4c42 + sha256: db45ac7c39fbc710ae0c178ac43eee642811f408be7778d1d5c4156618310cbe manager: conda name: traitlets optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.5.0-pyhd8ed1ab_0.tar.bz2 - version: 5.5.0 + url: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.7.1-pyhd8ed1ab_0.conda + version: 5.7.1 - category: dev dependencies: python: '>=3' @@ -6586,6 +6819,19 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.4.0-pyha770c72_0.tar.bz2 version: 4.4.0 +- category: main + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: b62adca3645b3bbc46940d5b1833d59b + sha256: 69e8397a2ee493eef2ccde8d5d877886a89be887111a6fc276fb27b6a86c4131 + manager: conda + name: unicodedata2 + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/unicodedata2-15.0.0-py310h90acd4f_0.tar.bz2 + version: 15.0.0 - category: main dependencies: python: '>=3.6' @@ -6614,38 +6860,51 @@ package: dependencies: python: '>=3.7' hash: - md5: f3b20ec2c97bad7104679b1d62eb7a11 - sha256: 911ac2b5c2bbe602c806ded8e5a40bd132e99ffa1dda10e27e6bc046c962fed6 + md5: 5309fca1777cfdd2d7ab582edb8cc41a + sha256: cf252c7ce64ab21e6dac77f070046f7523a9027059ab50856a17c3178f8c9187 manager: conda name: websocket-client optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.4.1-pyhd8ed1ab_0.tar.bz2 - version: 1.4.1 + url: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.4.2-pyhd8ed1ab_0.tar.bz2 + version: 1.4.2 - category: main dependencies: - python: '!=3.0,!=3.1,!=3.2,!=3.3,!=3.4' + python: '>=3.7' hash: - md5: 1ca02aaf78d9c70d9a81a3bed5752022 - sha256: aede66e6370f3b936164a703e48362f9080d7162234058fb2ee63cc84d528afc + md5: c829cfb8cb826acb9de0ac1a2df0a940 + sha256: bd4f11ff075ff251ade9f57686f31473e25be46ab282d9603f551401250f9f44 manager: conda name: wheel optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.37.1-pyhd8ed1ab_0.tar.bz2 - version: 0.37.1 + url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.38.4-pyhd8ed1ab_0.tar.bz2 + version: 0.38.4 +- category: dev + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + hash: + md5: 5ab4d574cfaeb68024191d28c39d4c6f + sha256: 8f06c0da54e6ba9c5894f042803ad836897570dcbdec511271de98cddcb4ee85 + manager: conda + name: wrapt + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/wrapt-1.14.1-py310h90acd4f_1.tar.bz2 + version: 1.14.1 - category: full dependencies: python: '>=3.7' hash: - md5: cd4eb48ebde7de61f92252979aab515c - sha256: 942b80980ae3db52f032720c82c2d4fb3f463b228762fc2d6a2684d6438fcc29 + md5: 09b5b885341697137879a4f039a9e5a1 + sha256: d98e41fe62edde9d979d79114f8cffa992ca86f4e7428c75e3c8b8fd6ab040a3 manager: conda name: zipp optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.10.0-pyhd8ed1ab_0.tar.bz2 - version: 3.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.11.0-pyhd8ed1ab_0.conda + version: 3.11.0 - category: full dependencies: python: '>=3.10,<3.11.0a0' @@ -6676,19 +6935,35 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/anyio-3.6.2-pyhd8ed1ab_0.tar.bz2 version: 3.6.2 +- category: dev + dependencies: + lazy-object-proxy: '>=1.4.0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + setuptools: '>=20.0' + wrapt: '>=1.11,<2' + hash: + md5: 7618f92e0699c20008a07f79a296c33d + sha256: d4df7eeca5aa449f6713f8e2c33460ec4bdf521af755abacb6770b0563fc2905 + manager: conda + name: astroid + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/astroid-2.12.13-py310h2ec42d9_0.conda + version: 2.12.13 - category: full dependencies: python: '>=3.5' six: '' hash: - md5: 2e19652c1276ecec6477db3c60ca26c8 - sha256: fc97e082f049973612638b00280cbdd1aa839363b3be2b58e00b90e63657299d + md5: bf7f54dd0f25c3f06ecb82a07341841a + sha256: 7ed530efddd47a96c11197906b4008405b90e3bc2f4e0df722a36e0e6103fd9c manager: conda name: asttokens optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.1.0-pyhd8ed1ab_0.tar.bz2 - version: 2.1.0 + url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.2.1-pyhd8ed1ab_0.conda + version: 2.2.1 - category: full dependencies: backports: '' @@ -6718,18 +6993,20 @@ package: version: 4.11.1 - category: full dependencies: - libcxx: '>=14.0.4' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 + packaging: '' + python: '>=3.6' + setuptools: '' + six: '>=1.9.0' + webencodings: '' hash: - md5: 2b67de36ce20513eedb0c19dee49bb83 - sha256: d9845fc2aaaad97675adabdb6cd172c98020502b3f90195696302f5125e08f6d + md5: 1f5151d37e4a2b1137f81c89a3a769f2 + sha256: b85dd43a40efd13c860086365d181eb9bc64cc757c36a05edc7544c3fa622bf8 manager: conda - name: brotli-python + name: bleach optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.0.9-py310h7a76584_8.tar.bz2 - version: 1.0.9 + url: https://conda.anaconda.org/conda-forge/noarch/bleach-5.0.1-pyhd8ed1ab_0.tar.bz2 + version: 5.0.1 - category: full dependencies: brotli: '>=1.0.9,<2.0a0' @@ -6793,19 +7070,19 @@ package: - category: full dependencies: bzip2: '>=1.0.8,<2.0a0' - libcurl: '>=7.82.0,<8.0a0' + libcurl: '>=7.86.0,<8.0a0' libgfortran: 5.* - libgfortran5: '>=9.3.0' - libzlib: '>=1.2.11,<1.3.0a0' + libgfortran5: '>=11.3.0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: f2108cb086dfd037a6709b011564860d - sha256: 1d830a5b6cdf74160e4eb08aab3abca0be325c0e32c24a83db57612bdd0664a8 + md5: 28e03cefd79aa28ec0e313e5a9c71f5b + sha256: 9e4746e64dd54030777ee77f6cb729374e877da2322236c10563dff27b877660 manager: conda name: cfitsio optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/cfitsio-4.1.0-h2c97ad1_0.tar.bz2 - version: 4.1.0 + url: https://conda.anaconda.org/conda-forge/osx-64/cfitsio-4.2.0-hd56cc12_0.conda + version: 4.2.0 - category: full dependencies: click: '>=3.0' @@ -6832,6 +7109,19 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/cligj-0.7.2-pyhd8ed1ab_1.tar.bz2 version: 0.7.2 +- category: full + dependencies: + python: '>=3.6' + traitlets: '>=5.3' + hash: + md5: 3c78af4752bb1600ebe5e83ef4588eaa + sha256: b33f5e5eb2bedefc3db622dd0b2f4ea67b621080153913eb22486aac78b6f54f + manager: conda + name: comm + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/comm-0.1.2-pyhd8ed1ab_0.conda + version: 0.1.2 - category: dev dependencies: python: '>=3.10,<3.11.0a0' @@ -6849,18 +7139,18 @@ package: - category: full dependencies: krb5: '>=1.19.3,<1.20.0a0' - libcurl: 7.86.0 h581aaea_0 + libcurl: 7.86.0 h581aaea_1 libssh2: '>=1.10.0,<2.0a0' libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' hash: - md5: 57d2f0bfffa7dce45f4a9b66f9cf464b - sha256: c00965c884c33868ecdf40f1f8fa1239f3d83127d254b7e9ab58271b5234c8dc + md5: 9caafb7cb35bf100d31b15e27e29eb38 + sha256: 7481972f27c04ebc812f645453865bc5bca12706dec8cb45b5a0bb58b1f48fbb manager: conda name: curl optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/curl-7.86.0-h581aaea_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/curl-7.86.0-h581aaea_1.tar.bz2 version: 7.86.0 - category: main dependencies: @@ -6876,20 +7166,22 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/osx-64/cytoolz-0.12.0-py310h90acd4f_1.tar.bz2 version: 0.12.0 -- category: full +- category: main dependencies: - libcxx: '>=14.0.4' + brotli: '' + munkres: '' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 + unicodedata2: '>=14.0.0' hash: - md5: 1d93ea9931b30f5c6141e98c2c7e6253 - sha256: 08b7dfd1ca4b77bce2c71033c23c997c30877fed64e01b13f13432a6ce7d67c0 + md5: 0b05af0a10ea3a8db1847bc0e389a335 + sha256: a6187c79801684a572250205279e3a80ea76bbf0b03e98a7fa5b02f279fd480b manager: conda - name: debugpy - optional: true + name: fonttools + optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.6.3-py310h7a76584_1.tar.bz2 - version: 1.6.3 + url: https://conda.anaconda.org/conda-forge/osx-64/fonttools-4.38.0-py310h90acd4f_1.tar.bz2 + version: 4.38.0 - category: main dependencies: libcurl: '>=7.83.1,<8.0a0' @@ -6912,53 +7204,66 @@ package: python: '>=3.8' zipp: '>=0.5' hash: - md5: ec069c4db6a0ad84107bac5da62819d2 - sha256: cea7928e6949c3ecd15e56ee8fa4e54efa8bb82738b8264e0489847e86e022c8 + md5: 46a62e35b9ae515cf0e49afc7fe0e7ef + sha256: 6e5e45c3cc3ba9fc854cd80960d775ff6c042e1f0b1351ca2e294b1b9d987d8c manager: conda name: importlib-metadata optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-5.0.0-pyha770c72_1.tar.bz2 - version: 5.0.0 + url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-5.1.0-pyha770c72_0.conda + version: 5.1.0 - category: full dependencies: python: '>=3.6' zipp: '>=3.1.0' hash: - md5: eb521efe7f5550de7573bc1629b74a05 - sha256: d4929ef6dd4ba4222dc2bd737c365833b896a3ee89f9e5142df763799b5ca944 + md5: db5d88c84c769798bf4b2f6776446b32 + sha256: 89347f8b0bcc0fcc31620cc5745f1cb34e71b9f7692a0384cb411090daea192f manager: conda name: importlib_resources optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.10.0-pyhd8ed1ab_0.tar.bz2 - version: 5.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.10.1-pyhd8ed1ab_0.conda + version: 5.10.1 - category: dev dependencies: python: '>=3.6,<4.0' setuptools: '' hash: - md5: 83df9ffefe1cc01d9e60405bf871bfdb - sha256: b9c74f448872cea7ecc10c6f3ec718427ec9632d446e102ef9525f23c172cf5a + md5: 9ee052b5a12b65ecce7a854a38675106 + sha256: 8288fe6d26deaf90b720f0c3f6e5b908d750dec6fb5a85ca05886030e1478667 manager: conda name: isort optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/isort-5.10.1-pyhd8ed1ab_0.tar.bz2 - version: 5.10.1 + url: https://conda.anaconda.org/conda-forge/noarch/isort-5.11.1-pyhd8ed1ab_0.conda + version: 5.11.1 - category: full dependencies: parso: '>=0.8.0,<0.9.0' python: '>=3.6' hash: - md5: 0e613217e78777045199372a2b0d5bd2 - sha256: 1c7150635f00455037bbede8a6c0086531c45e8e257ff6eaaf7aa134ccd20767 + md5: b5e695ef9c3f0d27d6cd96bf5adc9e07 + sha256: abe63ae6e1b13f83500608d94004cb8d485b264083511d77f79253e775cd546c manager: conda name: jedi optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.18.1-pyhd8ed1ab_2.tar.bz2 - version: 0.18.1 + url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.18.2-pyhd8ed1ab_0.conda + version: 0.18.2 +- category: main + dependencies: + markupsafe: '>=2.0' + python: '>=3.7' + hash: + md5: c8490ed5c70966d232fdd389d0dbed37 + sha256: b045faba7130ab263db6a8fdc96b1a3de5fcf85c4a607c5f11a49e76851500b5 + manager: conda + name: jinja2 + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2 + version: 3.1.2 - category: main dependencies: python: '>=3.6' @@ -6974,45 +7279,19 @@ package: version: 1.2.0 - category: full dependencies: + platformdirs: '>=2.5' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 - traitlets: '' + traitlets: '>=5.3' hash: - md5: 68c0286aa3ced14c09748d359e20814a - sha256: 83679d8b114bb6134b66faf72c9e54d79cc5404a25d7f80ba9389a78647fa4fb + md5: 8c7aded45000e3bcb3d50634964cad3f + sha256: 8db3d239e498026e1086b840686011123043c2c6586542721a100e51eaafec4a manager: conda name: jupyter_core optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/jupyter_core-4.11.1-py310h2ec42d9_1.tar.bz2 - version: 4.11.1 -- category: main - dependencies: - libcxx: '>=14.0.4' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: cc358fb878ac593c60cea08b28ac7423 - sha256: 6b48d27a14c68978d7bfd4e676a366db64264edd7d7bb5545e9c54aee2a8aea4 - manager: conda - name: kiwisolver - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/kiwisolver-1.4.4-py310ha23aa8a_1.tar.bz2 - version: 1.4.4 -- category: dev - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: f7962de893680c47dabf969c0ac7654c - sha256: 0f52fae604c160c4a82ac2947cc105df97b8938708ceb4fb2492e5f09328bd49 - manager: conda - name: lazy-object-proxy - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/lazy-object-proxy-1.8.0-py310h90acd4f_0.tar.bz2 - version: 1.8.0 + url: https://conda.anaconda.org/conda-forge/osx-64/jupyter_core-5.1.0-py310h2ec42d9_0.conda + version: 5.1.0 - category: main dependencies: libblas: 3.9.0 16_osx64_mkl @@ -7037,39 +7316,10 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-16_osx64_mkl.tar.bz2 version: 3.9.0 -- category: main +- category: full dependencies: - libcxx: '>=14.0.4' - libllvm11: '>=11.1.0,<11.2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: 50be72775bc4e8db5c65c2a274febea2 - sha256: 00878cc3bce34e944b5761ecad5033661aa7b3533f072243bdaae026e93d7871 - manager: conda - name: llvmlite - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/llvmlite-0.39.1-py310h2bfb868_1.tar.bz2 - version: 0.39.1 -- category: main - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: 232c20719e4290fa284ae1e9a4661dfa - sha256: 45aa996770bb49fdd6bc68e24b301932c2bb592522e3798f0c80e0206c352b8b - manager: conda - name: markupsafe - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/markupsafe-2.1.1-py310h90acd4f_2.tar.bz2 - version: 2.1.1 -- category: full - dependencies: - python: '>=3.6' - traitlets: '' + python: '>=3.6' + traitlets: '' hash: md5: b21613793fcc81d944c76c9f2864a7de sha256: aa091b88aec55bfa2d9207028d8cdc689b9efb090ae27b99557e93c675be2f3c @@ -7079,20 +7329,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.6-pyhd8ed1ab_0.tar.bz2 version: 0.1.6 -- category: main - dependencies: - libcxx: '>=14.0.4' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: 164e856479d735e96fcbd547afa70251 - sha256: c8311366a2858a24b3ac65fa1c6f8ca63f83528bbb2f6825cdf56d30047d022b - manager: conda - name: msgpack-python - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/msgpack-python-1.0.4-py310ha23aa8a_1.tar.bz2 - version: 1.0.4 - category: full dependencies: python: '' @@ -7107,19 +7343,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/munch-2.5.0-py_0.tar.bz2 version: 2.5.0 -- category: main - dependencies: - pyparsing: '>=2.0.2,!=3.0.5' - python: '>=3.6' - hash: - md5: 71f1ab2de48613876becddd496371c85 - sha256: 8322a9e93e2e09fbf2103f0d37c9287b7b97387125abadd6db26686084893540 - manager: conda - name: packaging - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/packaging-21.3-pyhd8ed1ab_0.tar.bz2 - version: '21.3' - category: main dependencies: locket: '' @@ -7175,47 +7398,47 @@ package: setuptools: '' wheel: '' hash: - md5: 6f4c6de9fed2a9bd8043283611b09587 - sha256: 9300dd4a4ca6ced6ebaf455e7be43aeb47e1d764de1c3f448d9dc98ab3b32942 + md5: da66f2851b9836d3a7c5190082a45f7d + sha256: 7a86b2427abbf5cf695da192ba1c03130115f157297e7bfde65f0a18a345a7bc manager: conda name: pip optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/pip-22.3-pyhd8ed1ab_0.tar.bz2 - version: '22.3' + url: https://conda.anaconda.org/conda-forge/noarch/pip-22.3.1-pyhd8ed1ab_0.tar.bz2 + version: 22.3.1 - category: full dependencies: python: '>=3.6' tenacity: '>=6.2.0' hash: - md5: 71aef86c572ad0ee49dba9af238d9c13 - sha256: b41f31aa81bff52d1d473a9f4a45c5600f36b8b7f259a8a572467d1836bad59a + md5: e594a3343150c5c470902d46e1723b45 + sha256: 60de0401c5bd29db1d3112cc56919010d89cfd38239f122c51df78ea5fd82e7e manager: conda name: plotly optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/plotly-5.11.0-pyhd8ed1ab_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/noarch/plotly-5.11.0-pyhd8ed1ab_1.conda version: 5.11.0 - category: full dependencies: krb5: '>=1.19.3,<1.20.0a0' - libpq: 14.5 hd79e848_1 + libpq: 15.1 hb1ae2b1_1 libxml2: '>=2.10.3,<2.11.0a0' libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' readline: '>=8.1.2,<9.0a0' tzcode: '' tzdata: '' zlib: '' hash: - md5: 3688a215054b40c25fc5ae47d07ab0cd - sha256: f2276cab09db1e5340c8803a51a835e2a5ff4db06045e2f80e271fa5d668eb65 + md5: 8824fdf2c7e9fb3b05e568366a69baed + sha256: c429b053182e1814f722725d611568e555965792d80c78705af6bec536e6dcde manager: conda name: postgresql optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/postgresql-14.5-hae21482_1.tar.bz2 - version: '14.5' + url: https://conda.anaconda.org/conda-forge/osx-64/postgresql-15.1-hae21482_1.conda + version: '15.1' - category: full dependencies: libcurl: '>=7.83.1,<8.0a0' @@ -7232,19 +7455,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/osx-64/proj-9.1.0-hcbd9701_0.tar.bz2 version: 9.1.0 -- category: main - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: 858ba7ca0fc5c2d3df442ad0be5346ce - sha256: 57d133d7f7f091493eeb8cb505e50a04bf6e5369aa9961c34ba8206381fafada - manager: conda - name: psutil - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/psutil-5.9.3-py310h90acd4f_1.tar.bz2 - version: 5.9.3 - category: full dependencies: python: '>=3.6' @@ -7258,19 +7468,25 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/pygments-2.13.0-pyhd8ed1ab_0.tar.bz2 version: 2.13.0 -- category: full +- category: dev dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 + attrs: '>=19.2.0' + colorama: '' + exceptiongroup: '' + iniconfig: '' + packaging: '' + pluggy: '>=0.12,<2.0' + python: '>=3.8' + tomli: '>=1.0.0' hash: - md5: afe0392819da54c0084e834b9d882601 - sha256: f24284bcaaa820af8a342a2f3e5643c35dce79495c62cf36c2fff335e916624d + md5: ac82c7aebc282e6ac0450fca012ca78c + sha256: 854233dc2d0d64219b7e951ccf49c1f32332c6fc7085ecb62cc18bc1f4e791b0 manager: conda - name: pyrsistent + name: pytest optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/pyrsistent-0.18.1-py310h90acd4f_2.tar.bz2 - version: 0.18.1 + url: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.0-pyhd8ed1ab_2.tar.bz2 + version: 7.2.0 - category: main dependencies: python: '>=3.6' @@ -7284,36 +7500,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2 version: 2.8.2 -- category: main - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - yaml: '>=0.2.5,<0.3.0a0' - hash: - md5: e0ba2009f52ccda088c63dedf0d1c5ec - sha256: ab7b2b8fef9adc4211834054d004f3e286161bb3e1dcb17d4b974fae4f87b31b - manager: conda - name: pyyaml - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/pyyaml-6.0-py310h90acd4f_5.tar.bz2 - version: '6.0' -- category: full - dependencies: - libcxx: '>=14.0.4' - libsodium: '>=1.0.18,<1.0.19.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - zeromq: '>=4.3.4,<4.4.0a0' - hash: - md5: 37780d9e5fb65a36eb94ef47a0f8b862 - sha256: c233600245fcd3b5c7f762a562ee9d4a90f4177336036c11a5533c0d722e10b4 - manager: conda - name: pyzmq - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/pyzmq-24.0.1-py310hf615a82_1.tar.bz2 - version: 24.0.1 - category: full dependencies: python: '' @@ -7327,6 +7513,21 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/retrying-1.3.3-py_2.tar.bz2 version: 1.3.3 +- category: full + dependencies: + __osx: '' + ptyprocess: '' + python: '>=3.7' + tornado: '>=6.1.0' + hash: + md5: 046120b71d8896cb7faef78bfdbfee1e + sha256: a2f8382ab390c74af592cc3566dc22e2ed81e5ac69c5b6417d1b7c22e63927bc + manager: conda + name: terminado + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.1-pyhd1c38e8_0.conda + version: 0.17.1 - category: full dependencies: python: '>=3.5' @@ -7353,19 +7554,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.11.6-pyha770c72_0.tar.bz2 version: 0.11.6 -- category: main - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: 84d43324014a93910f008ada676ca542 - sha256: e1e7ad2c24147d9023fff99c708c892161a9c4be3ff324ef731ba2f884302b46 - manager: conda - name: tornado - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.1-py310h1961e1f_3.tar.bz2 - version: '6.1' - category: main dependencies: colorama: '' @@ -7391,32 +7579,19 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.4.0-hd8ed1ab_0.tar.bz2 version: 4.4.0 -- category: main - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - hash: - md5: b62adca3645b3bbc46940d5b1833d59b - sha256: 69e8397a2ee493eef2ccde8d5d877886a89be887111a6fc276fb27b6a86c4131 - manager: conda - name: unicodedata2 - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/unicodedata2-15.0.0-py310h90acd4f_0.tar.bz2 - version: 15.0.0 -- category: dev +- category: full dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 + markupsafe: '>=2.1.1' + python: '>=3.7' hash: - md5: 5ab4d574cfaeb68024191d28c39d4c6f - sha256: 8f06c0da54e6ba9c5894f042803ad836897570dcbdec511271de98cddcb4ee85 + md5: 8e69568592e552919201f730b01a58c2 + sha256: 3bb3d6a98f9e3c6081166d81368e4a0e48fdbfe19e683a957ac344b063c42412 manager: conda - name: wrapt + name: werkzeug optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/wrapt-1.14.1-py310h90acd4f_1.tar.bz2 - version: 1.14.1 + url: https://conda.anaconda.org/conda-forge/noarch/werkzeug-2.2.2-pyhd8ed1ab_0.tar.bz2 + version: 2.2.2 - category: full dependencies: icu: '>=70.1,<71.0a0' @@ -7458,38 +7633,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/osx-64/argon2-cffi-bindings-21.2.0-py310h90acd4f_3.tar.bz2 version: 21.2.0 -- category: dev - dependencies: - lazy-object-proxy: '>=1.4.0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - setuptools: '>=20.0' - wrapt: '>=1.11,<2' - hash: - md5: 399ce598c35f8fa37cf21d3df0318627 - sha256: ad1b41aa3021e431ee78f49e8d2aec098bba9ad05de63325fd9c746bf9170712 - manager: conda - name: astroid - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/astroid-2.12.12-py310h2ec42d9_1.tar.bz2 - version: 2.12.12 -- category: full - dependencies: - packaging: '' - python: '>=3.6' - setuptools: '' - six: '>=1.9.0' - webencodings: '' - hash: - md5: 1f5151d37e4a2b1137f81c89a3a769f2 - sha256: b85dd43a40efd13c860086365d181eb9bc64cc757c36a05edc7544c3fa622bf8 - manager: conda - name: bleach - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/bleach-5.0.1-pyhd8ed1ab_0.tar.bz2 - version: 5.0.1 - category: main dependencies: cffi: '>=1.0.0' @@ -7507,18 +7650,18 @@ package: - category: main dependencies: cffi: '>=1.12' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 hash: - md5: 418af03ff3ed5f90ecd90746b37c211e - sha256: b8ba48a74e6a9d246f75959d9c04773601e8983503091894add39bcc7f850922 + md5: 7f0791ebd6b9c996fbd16ed1368b7eee + sha256: 16cfba388e76b1b22b31a0f9ec864f5d4e19902f72eb65b29e2eebb2a1bdc9db manager: conda name: cryptography optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/cryptography-38.0.2-py310hdd0c95c_2.tar.bz2 - version: 38.0.2 + url: https://conda.anaconda.org/conda-forge/osx-64/cryptography-38.0.4-py310hdd0c95c_0.conda + version: 38.0.4 - category: main dependencies: cloudpickle: '>=1.1.1' @@ -7537,22 +7680,23 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2022.10.0-pyhd8ed1ab_2.tar.bz2 version: 2022.10.0 -- category: main +- category: full dependencies: - brotli: '' - munkres: '' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - unicodedata2: '>=14.0.0' + click: '>=8.0' + importlib-metadata: '>=3.6.0' + itsdangerous: '>=2.0' + jinja2: '>=3.0' + python: '>=3.7' + werkzeug: '>=2.2.2' hash: - md5: 0b05af0a10ea3a8db1847bc0e389a335 - sha256: a6187c79801684a572250205279e3a80ea76bbf0b03e98a7fa5b02f279fd480b + md5: 85fad4c7889dd969ed4c02cf63cfe9c5 + sha256: e047c40122dc3fd53c534924271e9635d3dbf5ba606ccd2bd7f7c70b63697037 manager: conda - name: fonttools - optional: false + name: flask + optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/fonttools-4.38.0-py310h90acd4f_1.tar.bz2 - version: 4.38.0 + url: https://conda.anaconda.org/conda-forge/noarch/flask-2.2.2-pyhd8ed1ab_0.tar.bz2 + version: 2.2.2 - category: full dependencies: jpeg: '>=9e,<10a' @@ -7570,19 +7714,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/osx-64/geotiff-1.7.1-he29fd1c_4.tar.bz2 version: 1.7.1 -- category: main - dependencies: - markupsafe: '>=2.0' - python: '>=3.7' - hash: - md5: c8490ed5c70966d232fdd389d0dbed37 - sha256: b045faba7130ab263db6a8fdc96b1a3de5fcf85c4a607c5f11a49e76851500b5 - manager: conda - name: jinja2 - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2 - version: 3.1.2 - category: full dependencies: attrs: '>=17.4.0' @@ -7593,14 +7724,14 @@ package: python: '>=3.7' typing_extensions: '' hash: - md5: f39774717a77d98673ea29d28a586a84 - sha256: ed3cb14323210e9b313cac99c545ea5bab53b3d545d2b7e5b3c359ee3ea8aa4e + md5: 723268a468177cd44568eb8f794e0d80 + sha256: 4f68a23430d1afc5c9b41c46fbac0ade33c0bf57a293c646bfdd6dc65350eada manager: conda name: jsonschema optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.16.0-pyhd8ed1ab_0.tar.bz2 - version: 4.16.0 + url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.17.3-pyhd8ed1ab_0.conda + version: 4.17.3 - category: full dependencies: entrypoints: '' @@ -7636,30 +7767,16 @@ package: - category: full dependencies: hdf5: '>=1.12.2,<1.12.3.0a0' - libcxx: '>=13.0.1' + libcxx: '>=14.0.6' hash: - md5: ba621f335dfb9762c13b64855ed3e68e - sha256: ce2abc9e4a0f53b83d583f8780cd31447c65c39acfe3e9263010037038b99916 + md5: 4aab67daf291f97462a5a947aaad48ea + sha256: a61bfc6b1977a2d31d749b8061a9de93603326d1215ece0d6096fab10a735947 manager: conda name: kealib optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/kealib-1.4.15-h51f5cc1_1.tar.bz2 - version: 1.4.15 -- category: full - dependencies: - curl: '>=7.75.0,<8.0a0' - libcxx: '>=11.1.0' - libxml2: '>=2.9.10,<2.11.0a0' - hash: - md5: 55e0706347eb18f3616808366236bcaa - sha256: 2bd0467dd3aca8167d2dc67913c579b1c6097575fe511e497ce2143c31c57526 - manager: conda - name: libdap4 - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libdap4-3.20.6-h3e144a0_2.tar.bz2 - version: 3.20.6 + url: https://conda.anaconda.org/conda-forge/osx-64/kealib-1.5.0-h5c1f988_0.conda + version: 1.5.0 - category: full dependencies: bzip2: '>=1.0.8,<2.0a0' @@ -7683,139 +7800,142 @@ package: - category: full dependencies: freexl: '>=1.0.6,<2.0a0' - geos: '>=3.11.0,<3.11.1.0a0' - libcxx: '>=14.0.4' - libiconv: '>=1.17,<2.0.0a0' + geos: '>=3.11.1,<3.11.2.0a0' + libcxx: '>=14.0.6' + libiconv: '>=1.17,<2.0a0' librttopo: '>=1.1.0,<1.2.0a0' - libsqlite: '>=3.39.3,<4.0a0' - libxml2: '>=2.10.2,<2.11.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + libsqlite: '>=3.39.4,<4.0a0' + libxml2: '>=2.10.3,<2.11.0a0' + libzlib: '>=1.2.13,<1.3.0a0' proj: '>=9.1.0,<9.1.1.0a0' - sqlite: '>=3.39.3,<4.0a0' - zlib: '>=1.2.12,<1.3.0a0' + sqlite: '' + zlib: '' hash: - md5: 0a412d151277ce5974a00e23eb49b07c - sha256: 3cc41d7636d36d7373c9ac28161f6362a1a136bb0b3a514d231c3aaac87db052 + md5: 13513d4171137de61c7f8dd7c2fa4e74 + sha256: 40bb31b0b18ec42a0fa5165347782be38ca5c71df33c7cd49e63825fa906e4f1 manager: conda name: libspatialite optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libspatialite-5.0.1-h778c766_21.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/libspatialite-5.0.1-hc1c2c66_22.tar.bz2 version: 5.0.1 - category: main dependencies: libblas: '>=3.9.0,<4.0a0' libcblas: '>=3.9.0,<4.0a0' - libcxx: '>=14.0.4' + libcxx: '>=14.0.6' liblapack: '>=3.9.0,<4.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 hash: - md5: 83930a7444dab73641a2dd927f3c6a0d - sha256: 055bd3d17bb2fde853c0913d7a3140fa46f63ebdc7cecf69b4f1b9638e2ccba4 + md5: cc6930f1a95f169e2caedb1b808bf7f7 + sha256: 4318194b73e93e018af16da9dd7f9060e481c6beb3a4894bcfecdce894e95200 manager: conda name: numpy optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/numpy-1.23.4-py310h1b7c290_1.tar.bz2 - version: 1.23.4 + url: https://conda.anaconda.org/conda-forge/osx-64/numpy-1.23.5-py310h1b7c290_0.conda + version: 1.23.5 - category: full dependencies: boost-cpp: '>=1.78.0,<1.78.1.0a0' cairo: '>=1.16.0,<2.0a0' - fontconfig: '>=2.14.0,<3.0a0' + fontconfig: '>=2.14.1,<3.0a0' fonts-conda-ecosystem: '' freetype: '>=2.12.1,<3.0a0' gettext: '>=0.21.1,<1.0a0' jpeg: '>=9e,<10a' - lcms2: '>=2.12,<3.0a0' - libcurl: '>=7.85.0,<8.0a0' - libcxx: '>=14.0.4' - libglib: '>=2.74.0,<3.0a0' + lcms2: '>=2.14,<3.0a0' + libcurl: '>=7.86.0,<8.0a0' + libcxx: '>=14.0.6' + libglib: '>=2.74.1,<3.0a0' libiconv: '>=1.17,<2.0a0' - libpng: '>=1.6.38,<1.7.0a0' + libpng: '>=1.6.39,<1.7.0a0' libtiff: '>=4.4.0,<5.0a0' libzlib: '>=1.2.13,<1.3.0a0' nss: '>=3.78,<4.0a0' openjpeg: '>=2.5.0,<3.0a0' poppler-data: '' hash: - md5: 2c88e186559901701d8fa744197f424e - sha256: c61fa34594d650a512ab901078024bac7d3d83fa95aa74bdb1e4e162f3b4fa6d + md5: ad1c9f970971bc448424cff37c99eddd + sha256: be972dca85c1d79917451f5036062bcd8864b4ca3a1ae843f731933343bf2627 manager: conda name: poppler optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/poppler-22.10.0-hf2ff1a1_0.tar.bz2 - version: 22.10.0 + url: https://conda.anaconda.org/conda-forge/osx-64/poppler-22.12.0-hf2ff1a1_0.conda + version: 22.12.0 - category: dev dependencies: - attrs: '>=19.2.0' - colorama: '' - exceptiongroup: '' - iniconfig: '' - packaging: '' - pluggy: '>=0.12,<2.0' - python: '>=3.8' - tomli: '>=1.0.0' + astroid: '>=2.12.13,<2.14.0-dev0' + colorama: '>=0.4.5' + dill: '>=0.2' + isort: '>=4.2.5,<6' + mccabe: '>=0.6,<0.8' + platformdirs: '>=2.2.0' + python: '>=3.7.2' + tomli: '>=1.1.0' + tomlkit: '>=0.10.1' + typing_extensions: '>=3.10.0' hash: - md5: ac82c7aebc282e6ac0450fca012ca78c - sha256: 854233dc2d0d64219b7e951ccf49c1f32332c6fc7085ecb62cc18bc1f4e791b0 + md5: 26a62404bbfc93452c4d22aa2cda6f08 + sha256: 852e6a99ec31358324943ade205b0320ca25ba2d594ba215b3e34dee3f16fcae manager: conda - name: pytest + name: pylint optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.0-pyhd8ed1ab_2.tar.bz2 - version: 7.2.0 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/pylint-2.15.8-pyhd8ed1ab_0.conda + version: 2.15.8 +- category: dev dependencies: - asttokens: '' - executing: '' - pure_eval: '' - python: '>=3.5' + coverage: '>=5.2.1' + pytest: '>=4.6' + python: '>=3.6' + setuptools: '' + toml: '' hash: - md5: d62578a476321e761628bb3c428f07f9 - sha256: da0432671a463f59b1a644da103c586ebe690236d9a7716a9e10b1bd42b5456c + md5: 0f7cac11bb696b62d378bde725bfc3eb + sha256: c5feac67a828f10bfa7d5e80b12e0a7c8e3b7b4886ad682aa783bc63f62477ba manager: conda - name: stack_data + name: pytest-cov optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.0-pyhd8ed1ab_0.tar.bz2 - version: 0.6.0 + url: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-3.0.0-pyhd8ed1ab_0.tar.bz2 + version: 3.0.0 - category: full dependencies: - __osx: '' - ptyprocess: '' - python: '>=3.7' - tornado: '>=6.1.0' + asttokens: '' + executing: '' + pure_eval: '' + python: '>=3.5' hash: - md5: b459811ccd18801c61eb334f65e7c283 - sha256: 07c98e0945f484285b26675b1572c78350e62930156dcf4a61b0b62ba7b502e5 + md5: e7df0fdd404616638df5ece6e69ba7af + sha256: a58433e75229bec39f3be50c02efbe9b7083e53a1f31d8ee247564f370191eec manager: conda - name: terminado + name: stack_data optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.0-pyhd1c38e8_0.tar.bz2 - version: 0.17.0 + url: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda + version: 0.6.2 - category: full dependencies: bzip2: '>=1.0.8,<2.0a0' curl: '' - libcxx: '>=14.0.4' + libcxx: '>=14.0.6' libzlib: '>=1.2.13,<1.3.0a0' lz4-c: '>=1.9.3,<1.10.0a0' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' zlib: '' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 6e9ceb8b47cf6c22443cea2fb0639f45 - sha256: 45f4e96600866e9f259f66b21b5b68369ecfd39252ccd0b3e1e77ab16e2d7ace + md5: 7d15ea87de12a626a3239b5da26a9b26 + sha256: 7b96ea57c3c378de1976b071e2c5277f1d680188a9a2531e209188aed903c836 manager: conda name: tiledb optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/tiledb-2.11.3-h8b9cbf0_1.tar.bz2 - version: 2.11.3 + url: https://conda.anaconda.org/conda-forge/osx-64/tiledb-2.13.0-h8b9cbf0_0.conda + version: 2.13.0 - category: full dependencies: backports.functools_lru_cache: '' @@ -7829,19 +7949,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.5-pyh9f0ad1d_2.tar.bz2 version: 0.2.5 -- category: full - dependencies: - markupsafe: '>=2.1.1' - python: '>=3.7' - hash: - md5: 8e69568592e552919201f730b01a58c2 - sha256: 3bb3d6a98f9e3c6081166d81368e4a0e48fdbfe19e683a957ac344b063c42412 - manager: conda - name: werkzeug - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/werkzeug-2.2.2-pyhd8ed1ab_0.tar.bz2 - version: 2.2.2 - category: full dependencies: argon2-cffi-bindings: '' @@ -7873,21 +7980,18 @@ package: version: 1.0.6 - category: full dependencies: - click: '>=8.0' - importlib-metadata: '>=3.6.0' - itsdangerous: '>=2.0' - jinja2: '>=3.0' - python: '>=3.7' - werkzeug: '>=2.2.2' + brotli-python: '' + flask: '' + python: '>=2.7|>=3.6' hash: - md5: 85fad4c7889dd969ed4c02cf63cfe9c5 - sha256: e047c40122dc3fd53c534924271e9635d3dbf5ba606ccd2bd7f7c70b63697037 + md5: 19a84270d30c5a0dd10780e3d510e33d + sha256: 75d326f0b12aef8f35080f5a5e2ef26066afcb60e3da765a9a5f4349572acd3b manager: conda - name: flask + name: flask-compress optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/flask-2.2.2-pyhd8ed1ab_0.tar.bz2 - version: 2.2.2 + url: https://conda.anaconda.org/conda-forge/noarch/flask-compress-1.13-pyhd8ed1ab_0.tar.bz2 + version: '1.13' - category: main dependencies: cached-property: '' @@ -7910,19 +8014,19 @@ package: brunsli: '>=0.1,<1.0a0' bzip2: '>=1.0.8,<2.0a0' c-blosc2: '>=2.4.3,<3.0a0' - cfitsio: '>=4.1.0,<4.1.1.0a0' + cfitsio: '>=4.2.0,<4.2.1.0a0' charls: '>=2.3.4,<2.4.0a0' giflib: '>=5.2.1,<5.3.0a0' jpeg: '>=9e,<10a' jxrlib: '>=1.1,<1.2.0a0' - lcms2: '>=2.12,<3.0a0' + lcms2: '>=2.14,<3.0a0' lerc: '>=4.0.0,<5.0a0' libaec: '>=1.0.6,<2.0a0' libavif: '>=0.11.1,<0.11.2.0a0' libbrotlicommon: '>=1.0.9,<1.1.0a0' libbrotlidec: '>=1.0.9,<1.1.0a0' libbrotlienc: '>=1.0.9,<1.1.0a0' - libcxx: '>=14.0.4' + libcxx: '>=14.0.6' libdeflate: '>=1.14,<1.15.0a0' libpng: '>=1.6.38,<1.7.0a0' libtiff: '>=4.4.0,<5.0a0' @@ -7939,13 +8043,13 @@ package: zfp: '>=1.0.0,<2.0a0' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: ef2b59ed5f5821b100f9fcdd4c9561cd - sha256: 0fcd09c29fcd3009d1f08b6670c37c11423908e55b6683de0efb9e39bbc6e669 + md5: 32a196a5ad91294adea7552c9b9e6c2c + sha256: 96d3f096908035d6598f99d47a0aa04353ea09c75706c9c9c600cd81462f520b manager: conda name: imagecodecs optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/imagecodecs-2022.9.26-py310h79a1b8a_3.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/imagecodecs-2022.9.26-py310h86b898b_4.conda version: 2022.9.26 - category: full dependencies: @@ -7953,21 +8057,21 @@ package: pillow: '>=8.3.2' python: '>=3' hash: - md5: 9d10b00d27b54836d40759608d558276 - sha256: 0f949184ba2b939c05c817b043566c616ea49e373989859e6cc47fd7aa8ea6fa + md5: 4fef7788eaed184136c627a8c5feced6 + sha256: c1a49325a3208a875bc5d2ab2d866c820a60a0c6561c4efe796ad78e10085123 manager: conda name: imageio optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/imageio-2.22.0-pyhfa7a67d_0.tar.bz2 - version: 2.22.0 + url: https://conda.anaconda.org/conda-forge/noarch/imageio-2.22.4-pyhfa7a67d_1.conda + version: 2.22.4 - category: full dependencies: - blosc: '>=1.21.1,<2.0a0' - cfitsio: '>=4.1.0,<4.1.1.0a0' + blosc: '>=1.21.2,<2.0a0' + cfitsio: '>=4.2.0,<4.2.1.0a0' expat: '>=2.5.0,<3.0a0' freexl: '>=1.0.6,<2.0a0' - geos: '>=3.11.0,<3.11.1.0a0' + geos: '>=3.11.1,<3.11.2.0a0' geotiff: '>=1.7.1,<1.8.0a0' giflib: '>=5.2.1,<5.3.0a0' hdf4: '>=4.2.15,<4.2.16.0a0' @@ -7975,38 +8079,43 @@ package: icu: '>=70.1,<71.0a0' jpeg: '>=9e,<10a' json-c: '>=0.16,<0.17.0a0' - kealib: '>=1.4.15,<1.5.0a0' - libcxx: '>=14.0.4' - libdap4: '>=3.20.6,<3.20.7.0a0' + kealib: '>=1.5.0,<1.6.0a0' + lerc: '>=4.0.0,<5.0a0' + libcurl: '>=7.86.0,<8.0a0' + libcxx: '>=14.0.6' + libdeflate: '>=1.14,<1.15.0a0' + libiconv: '>=1.17,<2.0a0' libkml: '>=1.3.0,<1.4.0a0' libnetcdf: '>=4.8.1,<4.8.2.0a0' - libpng: '>=1.6.38,<1.7.0a0' - libpq: '>=14.5,<15.0a0' + libpng: '>=1.6.39,<1.7.0a0' + libpq: '>=15.1,<16.0a0' libspatialite: '>=5.0.1,<5.1.0a0' - libsqlite: '>=3.39.4,<4.0a0' + libsqlite: '>=3.40.0,<4.0a0' libtiff: '>=4.4.0,<5.0a0' libwebp-base: '>=1.2.4,<2.0a0' libxml2: '>=2.10.3,<2.11.0a0' libzlib: '>=1.2.13,<1.3.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' openjpeg: '>=2.5.0,<3.0a0' - openssl: '>=3.0.5,<4.0a0' - pcre: '>=8.45,<9.0a0' - poppler: '>=22.10.0,<22.11.0a0' + openssl: '>=3.0.7,<4.0a0' + pcre2: '>=10.40,<10.41.0a0' + poppler: '>=22.12.0,<22.13.0a0' postgresql: '' proj: '>=9.1.0,<9.1.1.0a0' - tiledb: '>=2.11.3,<2.12.0a0' + qhull: '>=2020.2,<2020.3.0a0' + tiledb: '>=2.13.0,<2.14.0a0' xerces-c: '>=3.2.4,<3.3.0a0' xz: '>=5.2.6,<6.0a0' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: c725236226ca6c98f96aa34fc11f59d5 - sha256: 3fc5e539f19f6c6335a88f105b38f167943466e360f017c5a9669a7e38b769dc + md5: ddfa7a0b39174d3ecd0bc611a86e961f + sha256: 1e9476105e42c3c64b4e4a89cd53554d2535234719808a4a00632d38f0f7cd23 manager: conda name: libgdal optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libgdal-3.5.3-h9ab8fee_0.tar.bz2 - version: 3.5.3 + url: https://conda.anaconda.org/conda-forge/osx-64/libgdal-3.6.0-h03944e0_14.conda + version: 3.6.0 - category: full dependencies: importlib-metadata: '>=3.6' @@ -8026,22 +8135,22 @@ package: version: 5.7.0 - category: main dependencies: - libcxx: '>=14.0.4' - llvm-openmp: '>=14.0.4' + libcxx: '>=14.0.6' + llvm-openmp: '>=15.0.5' llvmlite: '>=0.39.1,<0.40.0a0' numpy: '>=1.21.6,<2.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 setuptools: '' hash: - md5: b97347e531b26b102e7bd7f70f8fa3b7 - sha256: 992ea6627ffa13cfdb61b4535e33c0edd5a04becc1b29ecbc707738c0dde4b6c + md5: 1ecab821ec0ec2718efdb0f02a557664 + sha256: 22cf40922562c830eb40f32f235e4ac89213600ba3723dbd430368e913b3217e manager: conda name: numba optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/numba-0.56.3-py310h62db5c2_0.tar.bz2 - version: 0.56.3 + url: https://conda.anaconda.org/conda-forge/osx-64/numba-0.56.4-py310h62db5c2_0.conda + version: 0.56.4 - category: main dependencies: entrypoints: '' @@ -8062,55 +8171,34 @@ package: version: 0.10.2 - category: main dependencies: - libcxx: '>=14.0.4' + libcxx: '>=14.0.6' numpy: '>=1.21.6,<2.0a0' python: '>=3.10,<3.11.0a0' python-dateutil: '>=2.8.1' python_abi: 3.10.* *_cp310 pytz: '>=2020.1' hash: - md5: 52484bab619955d7fb2b90976e1aefee - sha256: 202bdab04543b137edfeac23597bb056b9ed9798ac248866184ea956e9ff9ea0 + md5: ce0b1639b2084753be9ec8cabb754553 + sha256: a99ba2a03b746d5234ec5ec94401cde8c4a04740af1b0c0f42e273f3e8026c79 manager: conda name: pandas optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/pandas-1.5.1-py310hecf8f37_1.tar.bz2 - version: 1.5.1 + url: https://conda.anaconda.org/conda-forge/osx-64/pandas-1.5.2-py310hecf8f37_0.conda + version: 1.5.2 - category: full dependencies: python: '>=3.6' wcwidth: '' hash: - md5: 94fee21afe199936bc361608e537cd11 - sha256: 4fadebeef8ff5441e7181cee7b580c69362b3226e41b77ae753226c11b2895bb + md5: 4d79ec192e0bfd530a254006d123b9a6 + sha256: 6bd3626799c9467d7aa8ed5f95043e4cea614a1329580980ddcf40cfed3ee860 manager: conda name: prompt-toolkit optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.31-pyha770c72_0.tar.bz2 - version: 3.0.31 -- category: dev - dependencies: - astroid: '>=2.12.12,<2.14.0-dev0' - colorama: '>=0.4.5' - dill: '>=0.2' - isort: '>=4.2.5,<6' - mccabe: '>=0.6,<0.8' - platformdirs: '>=2.2.0' - python: '>=3.7.2' - tomli: '>=1.1.0' - tomlkit: '>=0.10.1' - typing_extensions: '>=3.10.0' - hash: - md5: 20a795c6e8abea62d460bae344df462b - sha256: f9b6f6daf05c28d241ba327e8999bac327a1e7f0bc8bd115e45abcb71901bee5 - manager: conda - name: pylint - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/pylint-2.15.5-pyhd8ed1ab_0.tar.bz2 - version: 2.15.5 + url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.36-pyha770c72_0.conda + version: 3.0.36 - category: main dependencies: cryptography: '>=38.0.0,<39' @@ -8124,22 +8212,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-22.1.0-pyhd8ed1ab_0.tar.bz2 version: 22.1.0 -- category: dev - dependencies: - coverage: '>=5.2.1' - pytest: '>=4.6' - python: '>=3.6' - setuptools: '' - toml: '' - hash: - md5: 0f7cac11bb696b62d378bde725bfc3eb - sha256: c5feac67a828f10bfa7d5e80b12e0a7c8e3b7b4886ad682aa783bc63f62477ba - manager: conda - name: pytest-cov - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-3.0.0-pyhd8ed1ab_0.tar.bz2 - version: 3.0.0 - category: full dependencies: numpy: '>=1.21.6,<2.0a0' @@ -8166,29 +8238,29 @@ package: python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 hash: - md5: 8fdb18b2093f564e492c4a4258f5003d - sha256: 28e0a7966e577dcf302126d3dd51abb7537136c34f515e7af8b561606674ce50 + md5: 3875711195383daa898dd18c8800f72c + sha256: 9de4fd82cf5aecdd160cc9985242dd11b20caa207d82d4a273d6a71a4d91a22c manager: conda name: scipy optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.9.3-py310h240c617_1.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.9.3-py310h240c617_2.tar.bz2 version: 1.9.3 - category: full dependencies: - geos: '>=3.11.0,<3.11.1.0a0' + geos: '>=3.11.1,<3.11.2.0a0' numpy: '>=1.21.6,<2.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 hash: - md5: 36905d3f926a3d6c7be81e7bc5f68d04 - sha256: 76152a528b09d82e638786545df94202656a69064a66709582a7fb0704504d45 + md5: 88aaaab21cf59003eb24f6b902764b55 + sha256: ea8511433259c7f6ae141bf8e5e3377c11cdf6f41bebee95083fb314b154cb50 manager: conda name: shapely optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/shapely-1.8.5-py310hd79a494_1.tar.bz2 - version: 1.8.5 + url: https://conda.anaconda.org/conda-forge/osx-64/shapely-2.0.0-py310h4e43f2a_0.conda + version: 2.0.0 - category: main dependencies: numpy: '>=1.7' @@ -8202,6 +8274,22 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/vectormath-0.2.2-py_0.tar.bz2 version: 0.2.2 +- category: full + dependencies: + flask: '>=1.0.4' + flask-compress: '' + plotly: '>=5.0.0' + python: '>=3.6' + setuptools: '' + hash: + md5: a610529f1cc80da3ffda41228bc9d2c5 + sha256: 93d759dd4c218271712a0f7d40be57ed32766fde472b3b13469a215671b14178 + manager: conda + name: dash + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/dash-2.7.1-pyhd8ed1ab_0.conda + version: 2.7.1 - category: main dependencies: libcxx: '>=12.0.1' @@ -8232,41 +8320,28 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/empymod-2.2.1-pyhd8ed1ab_0.tar.bz2 version: 2.2.1 -- category: full - dependencies: - brotli-python: '' - flask: '' - python: '>=2.7|>=3.6' - hash: - md5: 19a84270d30c5a0dd10780e3d510e33d - sha256: 75d326f0b12aef8f35080f5a5e2ef26066afcb60e3da765a9a5f4349572acd3b - manager: conda - name: flask-compress - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/flask-compress-1.13-pyhd8ed1ab_0.tar.bz2 - version: '1.13' - category: full dependencies: hdf5: '>=1.12.2,<1.12.3.0a0' - libcxx: '>=14.0.4' - libgdal: 3.5.3 h9ab8fee_0 + libcxx: '>=14.0.6' + libgdal: 3.6.0 h03944e0_14 numpy: '>=1.21.6,<2.0a0' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 hash: - md5: 3ab2a8a4513f5b1e344e159eec956973 - sha256: 16d07c89d1816acdb257058efabdc57825f0d570493b2053fc18804e26d08e38 + md5: ab7804338f63590198a6c0c3780f880f + sha256: f9bb8c81af2aa420a107b0bc9821a4ec514ec49ae82b3c8f370d54569f58af61 manager: conda name: gdal optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/gdal-3.5.3-py310h5abc6fc_0.tar.bz2 - version: 3.5.3 + url: https://conda.anaconda.org/conda-forge/osx-64/gdal-3.6.0-py310h5abc6fc_14.conda + version: 3.6.0 - category: full dependencies: __osx: '' + _ipython_minor_entry_point: 8.7.0.* appnope: '' backcall: '' decorator: '' @@ -8274,20 +8349,20 @@ package: matplotlib-inline: '' pexpect: '>4.3' pickleshare: '' - prompt-toolkit: '>3.0.1,<3.1.0' + prompt-toolkit: '>=3.0.11,<3.1.0' pygments: '>=2.4.0' python: '>=3.8' stack_data: '' traitlets: '>=5' hash: - md5: 44a023ada0a70374a1c4656346dbb0c0 - sha256: e30a65969dba789b63ffe79d830bfea4df99d30fca3e9315750ce9a7f28b2ae3 + md5: 54d2e0754d7ecb42cd6a6d1795241a16 + sha256: a677323278a64f26a44c2b09392cdeefc67690e8cf3e741be708e8463711ddbf manager: conda name: ipython optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.6.0-pyhd1c38e8_1.tar.bz2 - version: 8.6.0 + url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.7.0-pyhd1c38e8_0.conda + version: 8.7.0 - category: main dependencies: __osx: '>=10.12' @@ -8301,35 +8376,35 @@ package: numpy: '>=1.21.6,<2.0a0' packaging: '>=20.0' pillow: '>=6.2.0' - pyparsing: '>=2.2.1' + pyparsing: '>=2.3.1' python: '>=3.10,<3.11.0a0' python-dateutil: '>=2.7' python_abi: 3.10.* *_cp310 hash: - md5: dda371b6edd9ed02082eb5c708bace4c - sha256: ff3dadacca61206535ac6b4843c29ee1e78b55ff878f20489a3080c432d32b2f + md5: 08b09d49effc05e5b8f7645497d451b8 + sha256: 7ad8ebb5181465d18c0a14759f2a482cadf343ebf26c95f0e39de5fbc0e6e19c manager: conda name: matplotlib-base optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-base-3.6.1-py310he725631_1.tar.bz2 - version: 3.6.1 + url: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-base-3.6.2-py310he725631_0.tar.bz2 + version: 3.6.2 - category: full dependencies: - jupyter_client: '>=6.1.5' - nbformat: '>=5.0' - nest-asyncio: '' + jupyter_client: '>=6.1.12' + jupyter_core: '>=4.12,!=5.0.*' + nbformat: '>=5.1' python: '>=3.7' - traitlets: '>=5.2.2' + traitlets: '>=5.3' hash: - md5: 87eed34d791330d8acdab6a8ab63113f - sha256: ef28a3c4e3a218ae48b1e7a24ec7a8bb4f6da0096135d1155a5a5cc71393aaf4 + md5: 6c7b0d75b66a220274bb5a28c23197f2 + sha256: 400cba87afda16d91c4fab133ed72b37ab0aa6592de61d4d5dd29dc026832a4f manager: conda name: nbclient optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.0-pyhd8ed1ab_0.tar.bz2 - version: 0.7.0 + url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.2-pyhd8ed1ab_0.conda + version: 0.7.2 - category: main dependencies: numpy: '>=1.7' @@ -8363,24 +8438,24 @@ package: version: 0.0.3 - category: main dependencies: - joblib: '>=1.0.0' + joblib: '>=1.1.1' libcblas: '>=3.9.0,<4.0a0' - libcxx: '>=14.0.4' - llvm-openmp: '>=14.0.4' + libcxx: '>=14.0.6' + llvm-openmp: '>=14.0.6' numpy: '>=1.21.6,<2.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 scipy: '' threadpoolctl: '>=2.0.0' hash: - md5: 88d28546e73cfe96dec17319bdd1a2dd - sha256: e66e6199dbd8799af2c9baea26c22da37faafd479b2b6f80d7e683744c69c93e + md5: 0bf9a20847233ba57ea31cba1d115696 + sha256: 6433f1b35613f02cfaad95df05e8eff69f31ca581897715a3685e5fdd8c2a19a manager: conda name: scikit-learn optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.1.3-py310hcebe997_1.tar.bz2 - version: 1.1.3 + url: https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.2.0-py310hcebe997_0.conda + version: 1.2.0 - category: full dependencies: imagecodecs: '>=2021.11.20' @@ -8405,14 +8480,14 @@ package: pysocks: '>=1.5.6,<2.0,!=1.5.7' python: <4.0 hash: - md5: 0738978569b10669bdef41c671252dd1 - sha256: 57a823b83428156aa2bc18f34159a744657c9bd117a125ca4559b0518a2e4fa2 + md5: 3078ef2359efd6ecadbc7e085c5e0592 + sha256: 992f2d6ca50c98f865a4f2e4bada23f950e39f33ff7c64614a31ee152ec4d5ae manager: conda name: urllib3 optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.11-pyhd8ed1ab_0.tar.bz2 - version: 1.26.11 + url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.13-pyhd8ed1ab_0.conda + version: 1.26.13 - category: main dependencies: asciitree: '' @@ -8431,20 +8506,17 @@ package: version: 2.13.3 - category: full dependencies: - flask: '>=1.0.4' - flask-compress: '' - plotly: '>=5.0.0' - python: '>=3.6' - setuptools: '' + dash: '>=1.6.1' + python: '' hash: - md5: 08473f0b4d35533dec6cf77149dcecbc - sha256: 3bb47d32349addf8be7f939700b9b4c1d1548a794389dd3b1217a0003a9f15a1 + md5: ebd54a61606fa8a191932cb72e448418 + sha256: 5e99ab8b5cac15e5d6986a90566a335c21b2849838a6e877bec79efa2e7e346f manager: conda - name: dash + name: dash-daq optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/dash-2.6.2-pyhd8ed1ab_0.tar.bz2 - version: 2.6.2 + url: https://conda.anaconda.org/conda-forge/noarch/dash-daq-0.5.0-pyh9f0ad1d_1.tar.bz2 + version: 0.5.0 - category: main dependencies: click: '>=6.6' @@ -8480,8 +8552,8 @@ package: click-plugins: '>=1.0' cligj: '>=0.5' gdal: '' - libcxx: '>=14.0.4' - libgdal: '>=3.5.3,<3.6.0a0' + libcxx: '>=14.0.6' + libgdal: '>=3.6.0,<3.7.0a0' munch: '' numpy: '>=1.21.6,<2.0a0' python: '>=3.10,<3.11.0a0' @@ -8490,13 +8562,13 @@ package: shapely: '' six: '>=1.7' hash: - md5: 7ca8c116e1e8de229f11d1018bf6f2f0 - sha256: 5f820e4089e3a74aa9b710b3b228bcf05fc87ae5f334e21f919f175b0c690fb5 + md5: 41f6dcc47571b0957fa17788739ae02b + sha256: 5d63dd1fd390ee82b3e5fe4d4400fb2389fad1ac9d04fdcd073f59c46d90c32c manager: conda name: fiona optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/fiona-1.8.22-py310h5a14c0a_1.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/fiona-1.8.22-py310h3963e5c_3.conda version: 1.8.22 - category: main dependencies: @@ -8521,6 +8593,7 @@ package: dependencies: __osx: '' appnope: '' + comm: '>=0.1' debugpy: '>=1.0' ipython: '>=7.23.1' jupyter_client: '>=6.1.12' @@ -8533,14 +8606,14 @@ package: tornado: '>=6.1' traitlets: '>=5.1.0' hash: - md5: 45cd64517fad5cc8c075db3669e673cb - sha256: 113d340546e434574e4103340b547f30f96bedcf30e6f7ab2887f63bc6464adf + md5: 91a9f426eadf5046be5c50693226332f + sha256: f4a5e21a9ca5194c501021dd25173c24e694faea6562e3352df14832c489d73e manager: conda name: ipykernel optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.17.0-pyh736e0ef_0.tar.bz2 - version: 6.17.0 + url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.19.2-pyh736e0ef_0.conda + version: 6.19.2 - category: full dependencies: beautifulsoup4: '' @@ -8561,14 +8634,14 @@ package: tinycss2: '' traitlets: '>=5.0' hash: - md5: fa00f301fe82fe2b260f58789440587b - sha256: fd5f7512edd5b13d0aa09be9bf1336de433886fdf94bf668220e3e74b36ac3f7 + md5: d222e8861fa78999b66ae7fa14710c1c + sha256: b40fdc7bacaff6b926af36e622654850ebd8e03786c62a1a38a38fd42a51d60a manager: conda name: nbconvert-core optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 - category: main dependencies: numpy: '' @@ -8626,19 +8699,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/osx-64/scikit-image-0.19.3-py310hecf8f37_2.tar.bz2 version: 0.19.3 -- category: full - dependencies: - dash: '>=1.6.1' - python: '' - hash: - md5: ebd54a61606fa8a191932cb72e448418 - sha256: 5e99ab8b5cac15e5d6986a90566a335c21b2849838a6e877bec79efa2e7e346f - manager: conda - name: dash-daq - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/dash-daq-0.5.0-pyh9f0ad1d_1.tar.bz2 - version: 0.5.0 - category: full dependencies: ansi2html: '' @@ -8678,55 +8738,55 @@ package: traitlets: '>=5.1.0' websocket-client: '' hash: - md5: 81f31b184703349ea7280c49ca4b5b4e - sha256: b14fe42d7eab0cefe9140b2e21ab139a408c5f4b3b7ba9cfdd438ff3ed17490d + md5: c497ada2dbcb07e6912756f4ea709f65 + sha256: 125d721aa32f00c33078e8b5e0d76b5333e65afccd5631970e57eaadb9ab8858 manager: conda name: jupyter_server optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.21.0-pyhd8ed1ab_0.tar.bz2 - version: 1.21.0 + url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.23.3-pyhd8ed1ab_0.conda + version: 1.23.3 - category: full dependencies: - nbconvert-core: 7.2.3 pyhd8ed1ab_0 + nbconvert-core: 7.2.6 pyhd8ed1ab_0 pandoc: '' python: '>=3.7' hash: - md5: 895c58bc1aa507933ad2ed9759682d9f - sha256: 5f7f9a907a1897fbe2139b176650b780d738e4b2dd5daac03bfdd6b957be2ffa + md5: c75ece5b10744eb2db7e9faaa02e25eb + sha256: 51a768efc97c48b2d768a53d2c100253d04446d4feff037dd95bb5e37c778a86 manager: conda name: nbconvert-pandoc optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 - category: full dependencies: - nbconvert-core: 7.2.3 pyhd8ed1ab_0 - nbconvert-pandoc: 7.2.3 pyhd8ed1ab_0 + nbconvert-core: 7.2.6 pyhd8ed1ab_0 + nbconvert-pandoc: 7.2.6 pyhd8ed1ab_0 python: '>=3.7' hash: - md5: 7c1dbb2baf7c43c56fe1940a721f2678 - sha256: 207c88766cf465ce4f4a56e4439c83236a987fd737e4e83a9866f32b6e98747c + md5: cad325a4f09969426cd099d5c9f689f5 + sha256: b428afd52bcf4f395a423293c93f89c97fa71f03b019dc799542d45f429f9b7b manager: conda name: nbconvert optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 - category: full dependencies: jupyter_server: '>=1.8,<3' python: '>=3.7' hash: - md5: 45b287252fd17eccb002676623ba859c - sha256: c37fb11cdb79ec121948a3bd1bda4a6ad61e4d17cc78d9b6f845eb0680823277 + md5: 40be846cd4e78672a40e43db9dae753c + sha256: d798a6a1938e3efa1562d3477a0337720ce07ef571c8b0255d80089f285eaf8a manager: conda name: notebook-shim optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.0-pyhd8ed1ab_0.tar.bz2 - version: 0.2.0 + url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.2-pyhd8ed1ab_0.tar.bz2 + version: 0.2.2 - category: full dependencies: argon2-cffi: '' @@ -8748,14 +8808,14 @@ package: tornado: '>=6.1' traitlets: '>=4.2.1' hash: - md5: 8d16bf3ba8cba7f702691767919d6bc6 - sha256: 2edf0741bf374b55163970127697846985ae9ac0576684ab9c80224ca810f060 + md5: f4f150f83ed90a1b833e6081bbf38257 + sha256: e180247b54ef26df23ed4662a5ca6a04252b11624da22d21cd976479afea4417 manager: conda name: nbclassic optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.4.5-pyhd8ed1ab_0.tar.bz2 - version: 0.4.5 + url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.4.8-pyhd8ed1ab_0.tar.bz2 + version: 0.4.8 - category: full dependencies: argon2-cffi: '' @@ -8764,25 +8824,26 @@ package: jinja2: '' jupyter_client: '>=5.3.4' jupyter_core: '>=4.6.1' - nbclassic: 0.4.5 - nbconvert: '>=5' + nbclassic: '>=0.4.7' + nbconvert-core: '>=5' nbformat: '' + nest-asyncio: '>=1.5' prometheus_client: '' python: '>=3.7' pyzmq: '>=17' - send2trash: '>=1.5.0' + send2trash: '>=1.8.0' terminado: '>=0.8.3' tornado: '>=6.1' traitlets: '>=4.2.1' hash: - md5: 16d5690e1f1cf716b6adf33a2a54dce5 - sha256: 7f1f249181459591083c4b99e3981a7c0933365deace3a75f72bfaca3256305a + md5: 7bf26ca095481f206e6f9dd7681085fe + sha256: 59b8f5923f5400e8d52a1bc7ad307add6953fa09f332cb745e22ef1e05b05acc manager: conda name: notebook optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.1-pyha770c72_0.tar.bz2 - version: 6.5.1 + url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.2-pyha770c72_1.tar.bz2 + version: 6.5.2 - category: full dependencies: notebook: '>=5.3' @@ -8872,25 +8933,38 @@ package: utm: '*' vectormath: '>=0.2.0' hash: - sha256: b1343e81535c83051201ae5aefef4d301effe04e5786bd19e3ce15ffb69471c7 + sha256: 35ba6d0f6ff81770caf1ea7599ba62f3b13b23c14091fec35e9d751c0aca793e manager: pip name: mira-simpeg optional: false platform: osx-64 source: null - url: https://files.pythonhosted.org/packages/0f/00/ac96a8523e2327727bc14577ec06507d76fd9e258cf4689dc06334eb0e1f/Mira_SimPEG-0.15.1.dev6-py2.py3-none-any.whl - version: 0.15.1.dev6 + url: https://files.pythonhosted.org/packages/f0/6e/d27a5faf1fc1bda17a119bb3f021f8d91597f0fbd1f85630bf9e6dfd63a4/Mira_SimPEG-0.15.1.dev7-py2.py3-none-any.whl + version: 0.15.1.dev7 +- category: main + dependencies: + geoh5py: '>=0.5.0,<0.6.0' + numpy: '>=1.21.5,<2.0.0' + hash: + sha256: c73020238558b1ececd1ad6e01b76dac8272dda46f3361a034315bd40b341d9d + manager: pip + name: param-sweeps + optional: false + platform: osx-64 + source: null + url: https://files.pythonhosted.org/packages/86/9a/cf12141da920feeb4b80833bd54f01d11c7b58b3f7f7c5ec19d2a45127f8/param_sweeps-0.1.3-py3-none-any.whl + version: 0.1.3 - category: main dependencies: {} hash: - md5: 5fba0abc60bf327a4bc4188cd64678be - sha256: 564f7c91d51b8b7b7111fd207bcbefe5c4f6c2075e41dc1b44725d974325ed90 + md5: 31de4d9887dc8eaed9e6230a5dfbb9d6 + sha256: 405f3634e055e2e6b0502b1999bc9b7e7bb6b549b229a9a371b19d660f0b14f0 manager: conda name: ca-certificates optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2022.9.24-h5b45459_0.tar.bz2 - version: 2022.9.24 + url: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2022.12.7-h5b45459_0.conda + version: 2022.12.7 - category: full dependencies: {} hash: @@ -8938,14 +9012,14 @@ package: - category: main dependencies: {} hash: - md5: 35dff2b6e944ce136a574c4c006cec28 - sha256: e9c4a67b9a612ed4fc610880af931520855e03b7d5071c6ae31e0b2f796a3d63 + md5: 862119758b21a2a735f15290abb01ae7 + sha256: 9ee00dfbc2b2567f52722e5827969e6820195e2fb8a966b5ec43e5e2a1685fe5 manager: conda name: intel-openmp optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2022.1.0-h57928b3_3787.tar.bz2 - version: 2022.1.0 + url: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2022.2.1-h57928b3_19741.conda + version: 2022.2.1 - category: main dependencies: {} hash: @@ -8982,14 +9056,25 @@ package: - category: main dependencies: {} hash: - md5: e366350e2343a798e29833286abe2560 - sha256: 419eaff0d20f418974ca27a40bc871bbe48217dba05936f147a574eb5f079005 + md5: f4cfd883c0d91bb17164d8e34f4900d5 + sha256: 8212c6f1a68d5a494bcde5cd64196626024059dcbe8995469c8a5ed32694efa0 + manager: conda + name: python_abi + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.10-3_cp310.conda + version: '3.10' +- category: main + dependencies: {} + hash: + md5: 51fc4fcfb19f5d95ffc8c339db5068e8 + sha256: 0bfae0b9962bc0dbf79048f9175b913ed4f53c4310d06708dc7acbb290ad82f6 manager: conda name: tzdata optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2022f-h191b570_0.tar.bz2 - version: 2022f + url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2022g-h191b570_0.conda + version: 2022g - category: main dependencies: {} hash: @@ -9169,17 +9254,18 @@ package: version: 2.5.0 - category: full dependencies: - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 87da446bebdf92030df5593c18530ae2 - sha256: f6610e734ee1444fe838ff07bda89871721f6b44117ecbd449d4af887198f82e + md5: 97225394895a9c6939175c936ab1a4b0 + sha256: 15ca40f3dafbc8caecb6f38ddf55cac9ac303f81371690a84e9e953d000f0ffd manager: conda name: geos optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/geos-3.11.0-h39d44d4_0.tar.bz2 - version: 3.11.0 + url: https://conda.anaconda.org/conda-forge/win-64/geos-3.11.1-h1537add_0.tar.bz2 + version: 3.11.1 - category: full dependencies: vc: '>=14.1,<15.0a0' @@ -9298,7 +9384,7 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/libffi-3.4.2-h8ffe710_5.tar.bz2 version: 3.4.2 -- category: full +- category: main dependencies: vc: '>=14.1,<15' vs2015_runtime: '>=14.16.27033' @@ -9307,7 +9393,7 @@ package: sha256: 657c2a992c896475021a25faebd9ccfaa149c5d70c7dc824d4069784b686cea1 manager: conda name: libiconv - optional: true + optional: false platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/libiconv-1.17-h8ffe710_0.tar.bz2 version: '1.17' @@ -9326,17 +9412,18 @@ package: version: 1.0.18 - category: main dependencies: + ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 9484be835acbd4ec7920ba013a0cc5bf - sha256: aeddd956da30c8d1c61e08286164040b1daaa4a5001c1e95d60e85ad6c8da508 + md5: 5e5a97795de72f8cc3baf3d9ea6327a2 + sha256: 4e50b3d90a351c9d47d239d3f90fce4870df2526e4f7fef35203ab3276a6dfc9 manager: conda name: libsqlite optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.39.4-hcfcfb64_0.tar.bz2 - version: 3.39.4 + url: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.40.0-hcfcfb64_0.tar.bz2 + version: 3.40.0 - category: main dependencies: vc: '>=14.1,<15' @@ -9410,27 +9497,14 @@ package: vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: a87ab36dc95970e3b4b63b7599bebdbe - sha256: 1610e24d7327a2c63019d18cc2dbf43a26d48f149053e64f49a2d942f89f9390 + md5: e48b661f57b25ddf34996fa8b685182d + sha256: 3f26c38e6167d7351de5bdcf13d1456891c242711e689999c25e50e5898bb660 manager: conda name: openssl optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/openssl-3.0.7-hcfcfb64_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/win-64/openssl-3.0.7-hcfcfb64_1.conda version: 3.0.7 -- category: full - dependencies: - vc: '>=14.1,<15.0a0' - vs2015_runtime: '>=14.16.27012' - hash: - md5: 3cd3948bb5de74ebef93b6be6d8cf0d5 - sha256: 2ee62337b921b2d60a87aa9a91bf34bc855a0bbf6a5642ec66a7a175a772be6d - manager: conda - name: pcre - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pcre-8.45-h0e60522_0.tar.bz2 - version: '8.45' - category: full dependencies: vc: '>=14.1,<15.0a0' @@ -9444,33 +9518,45 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/pixman-0.40.0-h8ffe710_0.tar.bz2 version: 0.40.0 +- category: main + dependencies: + vc: 14.* + hash: + md5: e2da8758d7d51ff6aa78a14dfb9dbed4 + sha256: 576a228630a72f25d255a5e345e5f10878e153221a96560f2498040cd6f54005 + manager: conda + name: pthreads-win32 + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/pthreads-win32-2.9.1-hfa6e2cd_3.tar.bz2 + version: 2.9.1 - category: full dependencies: - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + vc: '>=14.1,<15.0a0' + vs2015_runtime: '>=14.16.27012' hash: - md5: 47f94fe8037a17cc8c132c8da97f91f7 - sha256: c812a6a7b82830e7aa911dd5c89881bbf41157892f3d6ad514d77a45ae1b5dfb + md5: 110403ed058415fdd632298321da1fe0 + sha256: 5905c7c397181c845949f682cba0acb7b0f78124db9f5d8196f273a4ce7f655b manager: conda - name: snappy + name: qhull optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/snappy-1.1.9-h82413e6_1.tar.bz2 - version: 1.1.9 -- category: main + url: https://conda.anaconda.org/conda-forge/win-64/qhull-2020.2-h70d2c02_2.tar.bz2 + version: '2020.2' +- category: full dependencies: ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 7f9dddcd2f9cc334282e4e9c3f7b41ae - sha256: c45db980efd1f20bb2c36059377710f582ba37280ef674bee1723a0ce8efaa66 + md5: 073b08c65807f205d990ace14ccacdb2 + sha256: 61ab11b1ee3aebb337587362c26ab2cc87a76afc1925384c2d923e636c1b4c16 manager: conda - name: tbb - optional: false + name: snappy + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.6.0-h91493d7_1.tar.bz2 - version: 2021.6.0 + url: https://conda.anaconda.org/conda-forge/win-64/snappy-1.1.9-hfb803bf_2.tar.bz2 + version: 1.1.9 - category: main dependencies: vc: '>=14.1,<15' @@ -9639,31 +9725,33 @@ package: version: 1.0.9 - category: main dependencies: - libzlib: '>=1.2.12,<1.3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 90332fb968a69b3cb04c47454dcd7447 - sha256: df42464593cbe568c799bbd9402d4d2749b0601a7c1512b5f195fd0e4cc77a3e + md5: ab6febdb2dbd9c00803609079db4de71 + sha256: 1f139a72109366ba1da69f5bdc569b0e6783f887615807c02d7bfcc2c7575067 manager: conda name: libpng optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libpng-1.6.38-h19919ed_0.tar.bz2 - version: 1.6.38 + url: https://conda.anaconda.org/conda-forge/win-64/libpng-1.6.39-h19919ed_0.conda + version: 1.6.39 - category: full dependencies: - geos: '>=3.11.0,<3.11.1.0a0' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + geos: '>=3.11.1,<3.11.2.0a0' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: ae13271b8053b68bd007101ac9776ac6 - sha256: 6d71803e6a2ea8ef763e20ba2d607c03f7e6a9281696c8f076c7b0acd104a61f + md5: 115a51fda72ff01d7b7eb275183d6c72 + sha256: d22fc13a91df3bbd21c7de063b220692b7ccddaedf1ec8de056bc6659733a64b manager: conda name: librttopo optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/librttopo-1.1.0-h2842628_11.tar.bz2 + url: https://conda.anaconda.org/conda-forge/win-64/librttopo-1.1.0-he22b5cd_12.tar.bz2 version: 1.1.0 - category: main dependencies: @@ -9680,7 +9768,7 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/libssh2-1.10.0-h9a1e1f7_3.tar.bz2 version: 1.10.0 -- category: full +- category: main dependencies: libiconv: '>=1.17,<2.0a0' libzlib: '>=1.2.13,<1.3.0a0' @@ -9692,7 +9780,7 @@ package: sha256: bba812f5c8c4b47c2b97aa8e66fa43f11a4be37d2d383d766890b30b2f28cdde manager: conda name: libxml2 - optional: true + optional: false platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.10.3-hc3477c8_0.tar.bz2 version: 2.10.3 @@ -9728,69 +9816,58 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libs-5.3.0-7.tar.bz2 version: 5.3.0 -- category: main - dependencies: - intel-openmp: '' - tbb: 2021.* - hash: - md5: 2ff89a7337a9636029b4db9466e9f8e3 - sha256: b130d13dba6a798cbcce8f19c52e9765b75b8668d2f8f95ba8210c63b6fa84eb - manager: conda - name: mkl - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/mkl-2022.1.0-h6a75c08_874.tar.bz2 - version: 2022.1.0 - category: full dependencies: bzip2: '>=1.0.8,<2.0a0' libzlib: '>=1.2.12,<1.3.0a0' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 7c1c9ad6400f76a80eeadb6d5d9224fe - sha256: e0fdcff0968811dca67b37b6de5bc5de899ee77f6fee6981f4f9ec7b8b0bebcd + md5: 2519de0d9620dc2bc7e19caf6867136d + sha256: 5833c63548e4fae91da6d77739eab7dc9bf6542e43f105826b23c01bfdd9cb57 manager: conda name: pcre2 optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pcre2-10.37-hdfff0fc_1.tar.bz2 - version: '10.37' + url: https://conda.anaconda.org/conda-forge/win-64/pcre2-10.40-h17e33f8_0.tar.bz2 + version: '10.40' - category: main dependencies: bzip2: '>=1.0.8,<2.0a0' - libffi: '>=3.4.2,<3.5.0a0' - libsqlite: '>=3.39.2,<4.0a0' - libzlib: '>=1.2.12,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' + libffi: '>=3.4,<4.0a0' + libsqlite: '>=3.40.0,<4.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + openssl: '>=3.0.7,<4.0a0' tk: '>=8.6.12,<8.7.0a0' tzdata: '' vc: '>=14.1,<15' vs2015_runtime: '>=14.16.27033' - xz: '>=5.2.6,<5.3.0a0' + xz: '>=5.2.6,<6.0a0' hash: - md5: fd37ee80fffd9209ce2d2c869920f16e - sha256: 262ae6de275ac3890613300c5258bdb3f3434e6b9e9075dd9ecc99c3e34e8b80 + md5: 6a74ef0e5662397929214f2fb04c7d19 + sha256: 7c05da8180e62ebdf6e5af72fd1605df79395b11b0d0653788b828f6e1a6649e manager: conda name: python optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/python-3.10.6-hcf16a7b_0_cpython.tar.bz2 - version: 3.10.6 + url: https://conda.anaconda.org/conda-forge/win-64/python-3.10.8-h4de0772_0_cpython.conda + version: 3.10.8 - category: full dependencies: - libsqlite: 3.39.4 hcfcfb64_0 + libsqlite: 3.40.0 hcfcfb64_0 + ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 780e5daa2897f989f46bc73f0e43fa62 - sha256: 173d51f94e4a9c0e6f2db18695a019062c06db136be36c818e0cb7e5fc5419c1 + md5: c71d4be22d8402e7e17386aeb18b930e + sha256: c4c9d991ae95a61109d2c0038fcae58410b6b7ecdded0e29254ddb1bfae340f8 manager: conda name: sqlite optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/sqlite-3.39.4-hcfcfb64_0.tar.bz2 - version: 3.39.4 + url: https://conda.anaconda.org/conda-forge/win-64/sqlite-3.40.0-hcfcfb64_0.tar.bz2 + version: 3.40.0 - category: full dependencies: libsodium: '>=1.0.18,<1.0.19.0a0' @@ -9835,6 +9912,18 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.2-h7755175_4.tar.bz2 version: 1.5.2 +- category: full + dependencies: + python: 3.10.* + hash: + md5: e3f19766a5bf40d587e507670a9e2cf8 + sha256: 3a4e5f4ff6c1baaffdb70745f0d2267c1c8e92d518fcdf0ac400a02cd125d136 + manager: conda + name: _ipython_minor_entry_point + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/_ipython_minor_entry_point-8.7.0-hb6b4a82_0.conda + version: 8.7.0 - category: main dependencies: python: '' @@ -9873,33 +9962,34 @@ package: version: 0.2.0 - category: full dependencies: - python: '' + python: '>=2.7' hash: - md5: 0da16b293affa6ac31812376f8eb79dd - sha256: a584e690dbb042779af83abaa87a54764278c0a53bf5256ff8f5b0f0061ac283 + md5: 54ca2e08b3220c148a1d8329c2678e02 + sha256: 711602276ae39276cb0faaca6fd0ac851fff0ca17151917569174841ef830bbd manager: conda name: backports optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/backports-1.0-py_2.tar.bz2 + url: https://conda.anaconda.org/conda-forge/noarch/backports-1.0-pyhd8ed1ab_3.conda version: '1.0' - category: full dependencies: - libzlib: '>=1.2.11,<1.3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' lz4-c: '>=1.9.3,<1.10.0a0' snappy: '>=1.1.9,<2.0a0' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 90e1e39de7864e0e48654c0beb83e170 - sha256: 31f33776be873aaa30d422f82715ed9f2290cf453999bbba2459810b734df1c0 + md5: 06de41a00361a3ed7239af57663c8ad2 + sha256: 0f1e9f697cb7231f0b50ff4cb339ce452afb2390ce20315ded0bd002c4e8d02f manager: conda name: blosc optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/blosc-1.21.1-h74325e0_3.tar.bz2 - version: 1.21.1 + url: https://conda.anaconda.org/conda-forge/win-64/blosc-1.21.2-hdccc3a2_0.conda + version: 1.21.2 - category: full dependencies: bzip2: '>=1.0.8,<2.0a0' @@ -9932,6 +10022,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/brotli-bin-1.0.9-hcfcfb64_8.tar.bz2 version: 1.0.9 +- category: full + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 4243481464f5c4257f68a7911d06644d + sha256: a9eb89ad62a3b454e73e6a3f7433806617bb2750456078f2d801b30362cc99bf + manager: conda + name: brotli-python + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.0.9-py310h00ffb61_8.tar.bz2 + version: 1.0.9 - category: full dependencies: lz4-c: '>=1.9.3,<1.10.0a0' @@ -9941,14 +10047,14 @@ package: zlib-ng: '>=2.0.6,<2.1.0a0' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 7a27b9f41c59ebc82f55e8d3d5af86f1 - sha256: a0957bd4d4065a7d3d5ea82190644618d9f69640c72a42c16fc5abef2c93e900 + md5: 4968ce1474086c3fe4c734a5a7549a38 + sha256: 05bf3631d193c745baa89eb41a68efc32f26ca892178866f8d2cc12facea509a manager: conda name: c-blosc2 optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/c-blosc2-2.4.3-h183a6f4_0.tar.bz2 - version: 2.4.3 + url: https://conda.anaconda.org/conda-forge/win-64/c-blosc2-2.6.0-h183a6f4_0.conda + version: 2.6.0 - category: main dependencies: python: '>=3.6' @@ -9965,14 +10071,14 @@ package: dependencies: python: '>=3.7' hash: - md5: f66309b099374af91369e67e84af397d - sha256: 52e7459b3c457e888e2b6a4e6d13ab7f8675999bc12d20a83e34f12591a8771a + md5: fb9addc3db06e56abe03e0e9f21a63e6 + sha256: 5e22af4776700200fab2c1df41a2188ab9cfe90a50c4f388592bb978562c88ec manager: conda name: certifi optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/certifi-2022.9.24-pyhd8ed1ab_0.tar.bz2 - version: 2022.9.24 + url: https://conda.anaconda.org/conda-forge/noarch/certifi-2022.12.7-pyhd8ed1ab_0.conda + version: 2022.12.7 - category: dev dependencies: python: '>=3.6' @@ -10021,6 +10127,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.11.0-pyhd8ed1ab_0.tar.bz2 version: 0.11.0 +- category: full + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: f5ed9a8d5ac0c44a0d64f342a7471d34 + sha256: 4323b2cffd1acac08b2930a66dfa8f8e194cd419f48838968027e75d34cbe1ba + manager: conda + name: debugpy + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.6.4-py310h00ffb61_0.conda + version: 1.6.4 - category: full dependencies: python: '>=3.5' @@ -10073,14 +10195,14 @@ package: dependencies: python: '>=3.7' hash: - md5: da409b864dc21631820c81973df42587 - sha256: 201c07a4e0489f864ce25b5f1b132f672bee7647c21f65f9a273d710c4163ebd + md5: e0734d1f12de77f9daca98bda3428733 + sha256: abd2795af746b666b93ee42baf4de3ebaad82435b8291b6485325ecbc9d49f56 manager: conda name: exceptiongroup optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.0.0-pyhd8ed1ab_0.tar.bz2 - version: 1.0.0 + url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.0.4-pyhd8ed1ab_0.tar.bz2 + version: 1.0.4 - category: full dependencies: python: '>=2.7' @@ -10109,41 +10231,41 @@ package: dependencies: python: '>=3.6' hash: - md5: f93822cba5c20161560661988a88f2c0 - sha256: f56157ce4b55ef46a4fa4fe875703468e362b983099f864b740fd99aa80bbdbb + md5: 6d5e56de2e65da7aa35fd10131226efa + sha256: 251e79241eadab363eeaaf20f118423571e1a90ef351ae78e1c4574c53c8526c manager: conda name: flit-core optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/flit-core-3.7.1-pyhd8ed1ab_0.tar.bz2 - version: 3.7.1 + url: https://conda.anaconda.org/conda-forge/noarch/flit-core-3.8.0-pyhd8ed1ab_0.tar.bz2 + version: 3.8.0 - category: main dependencies: - libpng: '>=1.6.37,<1.7.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + libpng: '>=1.6.39,<1.7.0a0' + libzlib: '>=1.2.13,<1.3.0a0' vc: '>=14.1,<15' vs2015_runtime: '>=14.16.27033' hash: - md5: 8bfa20ad87170f94e856133bafa5f5cf - sha256: 9afe3223a47a002d8f02184ac3d8bb2b7b4e44626e1e973cdd2843abbbea74fe + md5: 1b513009cd012591f3fdc9e03a74ec0a + sha256: fe027235660d9dfe7889c350a51e96bc0134c3f408827a4c58c4b0557409984c manager: conda name: freetype optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/freetype-2.12.1-h546665d_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/win-64/freetype-2.12.1-h546665d_1.conda version: 2.12.1 - category: main dependencies: python: '>=3.6' hash: - md5: ee4d78b97e857cb8d845c8fa4c898433 - sha256: 30ab06e5a472d7e1faed5b2189010345ab26be3e98460f5a5362c2651814014a + md5: eb919f2119a6db5d0192f9e9c3711572 + sha256: 1ba0e6a0c6f023753b6766fda092b333485a7c640f1069a64d003570c652bddb manager: conda name: fsspec optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2022.10.0-pyhd8ed1ab_0.tar.bz2 - version: 2022.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2022.11.0-pyhd8ed1ab_0.tar.bz2 + version: 2022.11.0 - category: main dependencies: python: '>=3.8' @@ -10247,16 +10369,36 @@ package: version: 1.1.1 - category: main dependencies: - mkl: 2022.1.0 h6a75c08_874 + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: d2e6f4e86cee2b4e8c27ff6884ccdc61 - sha256: 0825e98108590b83f91177a6f31e4815441b2f70c67d29df36f11039c23b947a + md5: c55fe943d5f212d49d27d08580f5a610 + sha256: 6e927eab8b735c7fcbd52dff8b7ecf9f98b9221cf0d21f8491f2aeaf5bcc49f3 manager: conda - name: libblas + name: kiwisolver optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-16_win64_mkl.tar.bz2 - version: 3.9.0 + url: https://conda.anaconda.org/conda-forge/win-64/kiwisolver-1.4.4-py310h232114e_1.tar.bz2 + version: 1.4.4 +- category: dev + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 32667428a624a3200b142eb5e73952a4 + sha256: 5453f8153dbb76ccd044fb20ee98f1ee0973ef67d28a45d12c8f81b4c45f1b24 + manager: conda + name: lazy-object-proxy + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/lazy-object-proxy-1.8.0-py310h8d17308_0.tar.bz2 + version: 1.8.0 - category: main dependencies: krb5: '>=1.19.3,<1.20.0a0' @@ -10266,13 +10408,13 @@ package: vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 946fd31bacf1a0fdd365be869aa7467f - sha256: ae06a7597a954b8ed98189511909ab41d0b964c74e52fa2202737906e8d18d96 + md5: d5fc1cba559c9889332ffb2a39001704 + sha256: 3c2edc12356b57aeb0d9ba11f273196b99862680bc7cec58f8b69f25cf4ab1b1 manager: conda name: libcurl optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libcurl-7.86.0-heaf79c2_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/win-64/libcurl-7.86.0-heaf79c2_1.tar.bz2 version: 7.86.0 - category: full dependencies: @@ -10280,36 +10422,51 @@ package: libffi: '>=3.4,<4.0a0' libiconv: '>=1.17,<2.0a0' libzlib: '>=1.2.13,<1.3.0a0' - pcre2: '>=10.37,<10.38.0a0' + pcre2: '>=10.40,<10.41.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 722e167b7ba88710c64bd0c2088a88fd - sha256: 860752b34443d78b522b9c37b34c953775d01e72cc84a084c23c4b4d47ce78ab + md5: 09e1cbabfd9d733729843c3b35cb0b6d + sha256: bc6c2ffae7c9156b154ebf75d99c7cbded3dfc891eacac63dcd2ea5c9e00f7ee manager: conda name: libglib optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libglib-2.74.1-h79619a9_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/win-64/libglib-2.74.1-he8f3873_1.tar.bz2 version: 2.74.1 +- category: main + dependencies: + libxml2: '>=2.9.14,<2.11.0a0' + pthreads-win32: '' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: e84839b06cdd039130a1d1aa875146d3 + sha256: a3c5629dd103194ca49d06a975232d3a57e46cdef18c6ebf4f1da58a7772384d + manager: conda + name: libhwloc + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.8.0-h039e092_1.tar.bz2 + version: 2.8.0 - category: full dependencies: krb5: '>=1.19.3,<1.20.0a0' libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 6e8c4f0b01733da283bab3ed2f1b7729 - sha256: 8e7c6435842fd106e3c74c74a8852328376af6ed96c2fba2fe18ed9fc3cdb6e3 + md5: 5ddf458b2255785eee65ac701932a418 + sha256: 8786087bff946c7c2a8e980670f8a739f40a173f7e7c03d80d5f6e9edc2ab0ee manager: conda name: libpq optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libpq-14.5-hf15792c_1.tar.bz2 - version: '14.5' + url: https://conda.anaconda.org/conda-forge/win-64/libpq-15.1-hf15792c_1.conda + version: '15.1' - category: main dependencies: jpeg: '>=9e,<10a' @@ -10329,6 +10486,23 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/libtiff-4.4.0-h8e97e67_4.tar.bz2 version: 4.4.0 +- category: main + dependencies: + libzlib: '>=1.2.13,<1.3.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: db4165b53b8010875cc8b663714363cb + sha256: 8231cbb3ce448957410876ee2177ff9a73fb1517405cf9520ac7c10c2fd20cb8 + manager: conda + name: llvmlite + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/llvmlite-0.39.1-py310hb84602e_1.tar.bz2 + version: 0.39.1 - category: main dependencies: python: '>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*' @@ -10341,6 +10515,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2 version: 1.0.0 +- category: main + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 24e57be449c71b8edc52cc6a48ff846d + sha256: 76576c5fd2a6ad1e987b3df4bba55dab05c0f4f35e4f54c6ddbb9559aaf01537 + manager: conda + name: markupsafe + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.1-py310h8d17308_2.tar.bz2 + version: 2.1.1 - category: dev dependencies: python: '>=3.6' @@ -10365,6 +10555,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/mistune-2.0.4-pyhd8ed1ab_0.tar.bz2 version: 2.0.4 +- category: main + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 037a60d74aadd3a2f10e1e9580a42a9b + sha256: 9f44cff2cd152db18ef4b8101b6fdb72a8616c80bace71dfff8f248dc0dafe05 + manager: conda + name: msgpack-python + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/msgpack-python-1.0.4-py310h232114e_1.tar.bz2 + version: 1.0.4 - category: main dependencies: python: '' @@ -10393,14 +10599,26 @@ package: dependencies: python: '>=3.8' hash: - md5: 1b74438a7270b1e2cbd3de9dba18ebb6 - sha256: eda4b0dba46c72770bc410c794f4da62509623a24c12b9805954828278915dc7 + md5: bb45ff9deddb045331fd039949f39650 + sha256: a8e3531fdb6f9acfde885dd94c8639c020013215dab98ff4ed82db7aa745277a manager: conda name: networkx optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/networkx-2.8.7-pyhd8ed1ab_0.tar.bz2 - version: 2.8.7 + url: https://conda.anaconda.org/conda-forge/noarch/networkx-2.8.8-pyhd8ed1ab_0.tar.bz2 + version: 2.8.8 +- category: main + dependencies: + python: '>=3.7' + hash: + md5: 0e8e1bd93998978fc3125522266d12db + sha256: 163f26e55246c506a75551ca01f35c7d4d533aee6db5c4cf2d598ae253e956b8 + manager: conda + name: packaging + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/packaging-22.0-pyhd8ed1ab_0.conda + version: '22.0' - category: full dependencies: python: '!=3.0,!=3.1,!=3.2,!=3.3' @@ -10453,14 +10671,14 @@ package: dependencies: python: '>=3.7' hash: - md5: 2fb3f88922e7aec26ba652fcdfe13950 - sha256: a46843e317318405a8c66b640e7ad0c95d2f536918faa4f36cdfcda852000bcd + md5: b1b2ab02d1ece1719f7fa002ad4bc70d + sha256: 84f269198487823eaf5dbd1f1dd62f2f04c5dd98b66bb7e043cc6478dbf04f2e manager: conda name: platformdirs optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-2.5.2-pyhd8ed1ab_1.tar.bz2 - version: 2.5.2 + url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-2.6.0-pyhd8ed1ab_0.conda + version: 2.6.0 - category: dev dependencies: python: '>=3.8' @@ -10485,6 +10703,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.15.0-pyhd8ed1ab_0.tar.bz2 version: 0.15.0 +- category: main + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 88bc28b36cb3ede7866f569c65f8a691 + sha256: b73e31165cacf97840c27c369e7f5edec1513f957b3e15831bae4521155be64d + manager: conda + name: psutil + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/psutil-5.9.4-py310h8d17308_0.tar.bz2 + version: 5.9.4 - category: main dependencies: m2w64-gcc-libs: '' @@ -10533,6 +10767,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.0.9-pyhd8ed1ab_0.tar.bz2 version: 3.0.9 +- category: full + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 1480d01337c77bb6afc86ef4be032d6e + sha256: c985569e0bfb84dbcc2ddc3211e99306ec38ba1a96bb7ffe555d94841105142a + manager: conda + name: pyrsistent + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/pyrsistent-0.19.2-py310h8d17308_0.tar.bz2 + version: 0.19.2 - category: full dependencies: python: '>=3.3' @@ -10545,61 +10795,117 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.16.2-pyhd8ed1ab_0.tar.bz2 version: 2.16.2 -- category: main - dependencies: - python: 3.10.* - hash: - md5: aaa900b98edb2e67106b461ff365ba57 - sha256: 0871297da6dc3379aeddcb55787faf61aa44103b247b52aac381da3a1c794e45 - manager: conda - name: python_abi - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.10-2_cp310.tar.bz2 - version: '3.10' - category: main dependencies: python: '>=3.6' hash: - md5: 565724d09157870f0e469b1a0a172a6d - sha256: 0fc68b442d74920858fe7e4760c10efb22610fb27f28d2bfe98296b7ef2078f0 + md5: b1f26ad83328e486910ef7f6e81dc061 + sha256: d82fa6df6707afaf7e9f7034c810ced6e5c2b313ce9bf49eeee613b0711da0ab manager: conda name: pytz optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytz-2022.5-pyhd8ed1ab_0.tar.bz2 - version: '2022.5' + url: https://conda.anaconda.org/conda-forge/noarch/pytz-2022.6-pyhd8ed1ab_0.tar.bz2 + version: '2022.6' - category: full dependencies: - python: '>=3.6' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: edab14119efe85c3bf131ad747e9005c - sha256: 1a8e79f256e747bae4e7aefd3b06261f428f30cdd14e61fbe7bbe628b31df224 + md5: e1401844b4f4ec959e099452a953e764 + sha256: 10729e8e884cbd0d817de5d193c3b08d38fc1395bae0506b75a26e0ead7770a0 manager: conda - name: send2trash + name: pywin32 optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.0-pyhd8ed1ab_0.tar.bz2 - version: 1.8.0 -- category: main + url: https://conda.anaconda.org/conda-forge/win-64/pywin32-304-py310h00ffb61_2.tar.bz2 + version: '304' +- category: full dependencies: - python: '>=3.7' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + winpty: '' hash: - md5: 462466739c786f85f9ed555f87099fe1 - sha256: 8c1e25e2aae26973bbfe074dcb34a8b4904357048f4e83cb21e8843ee36c1fd5 + md5: b458638e95b420abf406280bf16df6ab + sha256: cbe687d068ef11133a7d1b918dd35a4f85cd7078a721491d63ccb6b7e72fdabf manager: conda - name: setuptools - optional: false + name: pywinpty + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/setuptools-65.5.0-pyhd8ed1ab_0.tar.bz2 - version: 65.5.0 + url: https://conda.anaconda.org/conda-forge/win-64/pywinpty-2.0.9-py310h00ffb61_0.tar.bz2 + version: 2.0.9 - category: main dependencies: - python: '' - hash: - md5: e5f25f8dbc060e9a8d912e432202afc2 - sha256: a85c38227b446f42c5b90d9b642f2c0567880c15d72492d8da074a59c8f91dd6 - manager: conda + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + yaml: '>=0.2.5,<0.3.0a0' + hash: + md5: d0daf3eed98dd2bf4337ed08d8011eb8 + sha256: 7d948a99bf7af50c9823a248267fce75ac555e4f357de166f65a75fab8549f3c + manager: conda + name: pyyaml + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0-py310h8d17308_5.tar.bz2 + version: '6.0' +- category: full + dependencies: + libsodium: '>=1.0.18,<1.0.19.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + zeromq: '>=4.3.4,<4.3.5.0a0' + hash: + md5: f475f6fb2ebae89e1126aba220f37fff + sha256: a71af303a6f52ccfe06a97073a4a3cc9e82858f127a25b17262ec38b196de218 + manager: conda + name: pyzmq + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/pyzmq-24.0.1-py310hcd737a0_1.tar.bz2 + version: 24.0.1 +- category: full + dependencies: + python: '>=3.6' + hash: + md5: edab14119efe85c3bf131ad747e9005c + sha256: 1a8e79f256e747bae4e7aefd3b06261f428f30cdd14e61fbe7bbe628b31df224 + manager: conda + name: send2trash + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.0-pyhd8ed1ab_0.tar.bz2 + version: 1.8.0 +- category: main + dependencies: + python: '>=3.7' + hash: + md5: cfb8dc4d9d285ca5fb1177b9dd450e33 + sha256: 55521371cfbd1bc046c362a108f9b8e294c35604896757659c6fb6765b6955c2 + manager: conda + name: setuptools + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/setuptools-65.5.1-pyhd8ed1ab_0.tar.bz2 + version: 65.5.1 +- category: main + dependencies: + python: '' + hash: + md5: e5f25f8dbc060e9a8d912e432202afc2 + sha256: a85c38227b446f42c5b90d9b642f2c0567880c15d72492d8da074a59c8f91dd6 + manager: conda name: six optional: false platform: win-64 @@ -10713,18 +11019,33 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/toolz-0.12.0-pyhd8ed1ab_0.tar.bz2 version: 0.12.0 +- category: main + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + vc: '>=14.1,<15' + vs2015_runtime: '>=14.16.27033' + hash: + md5: f5e310d96e266e6acda33c31c722e2cb + sha256: 0af2d677ec17d9c00311b5cba56a1ed5e62328d8c160523b66c8e243fe99dcb0 + manager: conda + name: tornado + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/tornado-6.1-py310he2412df_3.tar.bz2 + version: '6.1' - category: full dependencies: python: '>=3.7' hash: - md5: 63650c013737b2801811bcd94524e863 - sha256: c5a333fa75f4d9ef577631a0ec6a3eb9d3538b5bc873286679cb3851419bf55b + md5: 96a8c913bcd01dd9ab7360290aeb4c42 + sha256: db45ac7c39fbc710ae0c178ac43eee642811f408be7778d1d5c4156618310cbe manager: conda name: traitlets optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.5.0-pyhd8ed1ab_0.tar.bz2 - version: 5.5.0 + url: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.7.1-pyhd8ed1ab_0.conda + version: 5.7.1 - category: dev dependencies: python: '>=3' @@ -10749,6 +11070,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.4.0-pyha770c72_0.tar.bz2 version: 4.4.0 +- category: main + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 5d14ba562f7740b64be9c8059498cfbf + sha256: 4b93fa5ecf66df2c8558c224bb7404d9fd73e956c3c5db059fb01c1e4bd61ffa + manager: conda + name: unicodedata2 + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/unicodedata2-15.0.0-py310h8d17308_0.tar.bz2 + version: 15.0.0 - category: main dependencies: python: '>=3.6' @@ -10777,26 +11114,26 @@ package: dependencies: python: '>=3.7' hash: - md5: f3b20ec2c97bad7104679b1d62eb7a11 - sha256: 911ac2b5c2bbe602c806ded8e5a40bd132e99ffa1dda10e27e6bc046c962fed6 + md5: 5309fca1777cfdd2d7ab582edb8cc41a + sha256: cf252c7ce64ab21e6dac77f070046f7523a9027059ab50856a17c3178f8c9187 manager: conda name: websocket-client optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.4.1-pyhd8ed1ab_0.tar.bz2 - version: 1.4.1 + url: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.4.2-pyhd8ed1ab_0.tar.bz2 + version: 1.4.2 - category: main dependencies: - python: '!=3.0,!=3.1,!=3.2,!=3.3,!=3.4' + python: '>=3.7' hash: - md5: 1ca02aaf78d9c70d9a81a3bed5752022 - sha256: aede66e6370f3b936164a703e48362f9080d7162234058fb2ee63cc84d528afc + md5: c829cfb8cb826acb9de0ac1a2df0a940 + sha256: bd4f11ff075ff251ade9f57686f31473e25be46ab282d9603f551401250f9f44 manager: conda name: wheel optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.37.1-pyhd8ed1ab_0.tar.bz2 - version: 0.37.1 + url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.38.4-pyhd8ed1ab_0.tar.bz2 + version: 0.38.4 - category: main dependencies: __win: '' @@ -10810,6 +11147,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/win_inet_pton-1.1.0-pyhd8ed1ab_6.tar.bz2 version: 1.1.0 +- category: dev + dependencies: + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: f6c526f1cb7207ced358632cd811ccbe + sha256: 75853031e21f9553e1bfb84d60b91d8fbc4083039c3de6b1aea446d98d4ba7c1 + manager: conda + name: wrapt + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/wrapt-1.14.1-py310h8d17308_1.tar.bz2 + version: 1.14.1 - category: main dependencies: m2w64-gcc-libs: '' @@ -10838,14 +11191,14 @@ package: dependencies: python: '>=3.7' hash: - md5: cd4eb48ebde7de61f92252979aab515c - sha256: 942b80980ae3db52f032720c82c2d4fb3f463b228762fc2d6a2684d6438fcc29 + md5: 09b5b885341697137879a4f039a9e5a1 + sha256: d98e41fe62edde9d979d79114f8cffa992ca86f4e7428c75e3c8b8fd6ab040a3 manager: conda name: zipp optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.10.0-pyhd8ed1ab_0.tar.bz2 - version: 3.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.11.0-pyhd8ed1ab_0.conda + version: 3.11.0 - category: full dependencies: python: '>=3.10,<3.11.0a0' @@ -10876,19 +11229,35 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/anyio-3.6.2-pyhd8ed1ab_0.tar.bz2 version: 3.6.2 +- category: dev + dependencies: + lazy-object-proxy: '>=1.4.0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + setuptools: '>=20.0' + wrapt: '>=1.11,<2' + hash: + md5: ef5a0ea774b7dd1057cd3c8310e0f74b + sha256: e971776f82ccded73580d6bd9daec9b999f6f2b3a30c34d5d8b686b3d12fbf2d + manager: conda + name: astroid + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/astroid-2.12.13-py310h5588dad_0.conda + version: 2.12.13 - category: full dependencies: python: '>=3.5' six: '' hash: - md5: 2e19652c1276ecec6477db3c60ca26c8 - sha256: fc97e082f049973612638b00280cbdd1aa839363b3be2b58e00b90e63657299d + md5: bf7f54dd0f25c3f06ecb82a07341841a + sha256: 7ed530efddd47a96c11197906b4008405b90e3bc2f4e0df722a36e0e6103fd9c manager: conda name: asttokens optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.1.0-pyhd8ed1ab_0.tar.bz2 - version: 2.1.0 + url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.2.1-pyhd8ed1ab_0.conda + version: 2.2.1 - category: full dependencies: backports: '' @@ -10916,6 +11285,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.11.1-pyha770c72_0.tar.bz2 version: 4.11.1 +- category: full + dependencies: + packaging: '' + python: '>=3.6' + setuptools: '' + six: '>=1.9.0' + webencodings: '' + hash: + md5: 1f5151d37e4a2b1137f81c89a3a769f2 + sha256: b85dd43a40efd13c860086365d181eb9bc64cc757c36a05edc7544c3fa622bf8 + manager: conda + name: bleach + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/bleach-5.0.1-pyhd8ed1ab_0.tar.bz2 + version: 5.0.1 - category: main dependencies: brotli-bin: 1.0.9 hcfcfb64_8 @@ -10933,22 +11318,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/brotli-1.0.9-hcfcfb64_8.tar.bz2 version: 1.0.9 -- category: full - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 4243481464f5c4257f68a7911d06644d - sha256: a9eb89ad62a3b454e73e6a3f7433806617bb2750456078f2d801b30362cc99bf - manager: conda - name: brotli-python - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.0.9-py310h00ffb61_8.tar.bz2 - version: 1.0.9 - category: main dependencies: cached_property: '>=1.5.2,<1.5.3.0a0' @@ -10980,19 +11349,20 @@ package: version: 1.15.1 - category: full dependencies: - libcurl: '>=7.82.0,<8.0a0' - libzlib: '>=1.2.11,<1.3.0a0' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + libcurl: '>=7.86.0,<8.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: df455e759b8bd9cb9beccd47306b55e7 - sha256: 6ff5eedca6e344fa853c827809f580b2bb7332273d48bf87ae9b58568fceccf4 + md5: cccd314cbeea4f2f70f73c763d9660e8 + sha256: 18e893342e7ac8254741ea1dbae1b1f8e7771f2fdbb12e591e55f3a0519343ef manager: conda name: cfitsio optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/cfitsio-4.1.0-h5a969a9_0.tar.bz2 - version: 4.1.0 + url: https://conda.anaconda.org/conda-forge/win-64/cfitsio-4.2.0-h9ebe7e4_0.conda + version: 4.2.0 - category: main dependencies: __win: '' @@ -11007,6 +11377,19 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/click-8.1.3-win_pyhd8ed1ab_2.tar.bz2 version: 8.1.3 +- category: full + dependencies: + python: '>=3.6' + traitlets: '>=5.3' + hash: + md5: 3c78af4752bb1600ebe5e83ef4588eaa + sha256: b33f5e5eb2bedefc3db622dd0b2f4ea67b621080153913eb22486aac78b6f54f + manager: conda + name: comm + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/comm-0.1.2-pyhd8ed1ab_0.conda + version: 0.1.2 - category: dev dependencies: python: '>=3.10,<3.11.0a0' @@ -11027,20 +11410,20 @@ package: - category: full dependencies: krb5: '>=1.19.3,<1.20.0a0' - libcurl: 7.86.0 heaf79c2_0 + libcurl: 7.86.0 heaf79c2_1 libssh2: '>=1.10.0,<2.0a0' libzlib: '>=1.2.13,<1.3.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: c6ee1c3d46e5b6d0c762da09fa856738 - sha256: 733499310448dc267dcd572b5c3ffff24d8f0e44aebf8619d3eb6d815c0d18c0 + md5: 2c3f3665f99eb0a712801561707c6382 + sha256: 7f46ba534fc33a0db4f57b60c9baa67ab34e887d0b6aa23dd55efdf20e8ce49a manager: conda name: curl optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/curl-7.86.0-heaf79c2_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/win-64/curl-7.86.0-heaf79c2_1.tar.bz2 version: 7.86.0 - category: main dependencies: @@ -11059,22 +11442,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/cytoolz-0.12.0-py310h8d17308_1.tar.bz2 version: 0.12.0 -- category: full - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 42f999fcfda6984190e0a83f19f77d9f - sha256: 815a57bf210ab43215b8312a5a470c45b77ce76074221417aa940bfd7a177474 - manager: conda - name: debugpy - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.6.3-py310h00ffb61_1.tar.bz2 - version: 1.6.3 - category: full dependencies: expat: '>=2.4.9,<3.0a0' @@ -11114,53 +11481,66 @@ package: python: '>=3.8' zipp: '>=0.5' hash: - md5: ec069c4db6a0ad84107bac5da62819d2 - sha256: cea7928e6949c3ecd15e56ee8fa4e54efa8bb82738b8264e0489847e86e022c8 + md5: 46a62e35b9ae515cf0e49afc7fe0e7ef + sha256: 6e5e45c3cc3ba9fc854cd80960d775ff6c042e1f0b1351ca2e294b1b9d987d8c manager: conda name: importlib-metadata optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-5.0.0-pyha770c72_1.tar.bz2 - version: 5.0.0 + url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-5.1.0-pyha770c72_0.conda + version: 5.1.0 - category: full dependencies: python: '>=3.6' zipp: '>=3.1.0' hash: - md5: eb521efe7f5550de7573bc1629b74a05 - sha256: d4929ef6dd4ba4222dc2bd737c365833b896a3ee89f9e5142df763799b5ca944 + md5: db5d88c84c769798bf4b2f6776446b32 + sha256: 89347f8b0bcc0fcc31620cc5745f1cb34e71b9f7692a0384cb411090daea192f manager: conda name: importlib_resources optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.10.0-pyhd8ed1ab_0.tar.bz2 - version: 5.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.10.1-pyhd8ed1ab_0.conda + version: 5.10.1 - category: dev dependencies: python: '>=3.6,<4.0' setuptools: '' hash: - md5: 83df9ffefe1cc01d9e60405bf871bfdb - sha256: b9c74f448872cea7ecc10c6f3ec718427ec9632d446e102ef9525f23c172cf5a + md5: 9ee052b5a12b65ecce7a854a38675106 + sha256: 8288fe6d26deaf90b720f0c3f6e5b908d750dec6fb5a85ca05886030e1478667 manager: conda name: isort optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/isort-5.10.1-pyhd8ed1ab_0.tar.bz2 - version: 5.10.1 + url: https://conda.anaconda.org/conda-forge/noarch/isort-5.11.1-pyhd8ed1ab_0.conda + version: 5.11.1 - category: full dependencies: parso: '>=0.8.0,<0.9.0' python: '>=3.6' hash: - md5: 0e613217e78777045199372a2b0d5bd2 - sha256: 1c7150635f00455037bbede8a6c0086531c45e8e257ff6eaaf7aa134ccd20767 + md5: b5e695ef9c3f0d27d6cd96bf5adc9e07 + sha256: abe63ae6e1b13f83500608d94004cb8d485b264083511d77f79253e775cd546c manager: conda name: jedi optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.18.1-pyhd8ed1ab_2.tar.bz2 - version: 0.18.1 + url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.18.2-pyhd8ed1ab_0.conda + version: 0.18.2 +- category: main + dependencies: + markupsafe: '>=2.0' + python: '>=3.7' + hash: + md5: c8490ed5c70966d232fdd389d0dbed37 + sha256: b045faba7130ab263db6a8fdc96b1a3de5fcf85c4a607c5f11a49e76851500b5 + manager: conda + name: jinja2 + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2 + version: 3.1.2 - category: main dependencies: python: '>=3.6' @@ -11174,38 +11554,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/joblib-1.2.0-pyhd8ed1ab_0.tar.bz2 version: 1.2.0 -- category: main - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: c55fe943d5f212d49d27d08580f5a610 - sha256: 6e927eab8b735c7fcbd52dff8b7ecf9f98b9221cf0d21f8491f2aeaf5bcc49f3 - manager: conda - name: kiwisolver - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/kiwisolver-1.4.4-py310h232114e_1.tar.bz2 - version: 1.4.4 -- category: dev +- category: full dependencies: + platformdirs: '>=2.5' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + pywin32: '>=1.0' + traitlets: '>=5.3' hash: - md5: 32667428a624a3200b142eb5e73952a4 - sha256: 5453f8153dbb76ccd044fb20ee98f1ee0973ef67d28a45d12c8f81b4c45f1b24 + md5: 77ad4c1e6adfd184740598e4ac7f0f44 + sha256: 164af612263cf7f517445d4932979f963aae8cb8f5f84144d075b06be639b3d3 manager: conda - name: lazy-object-proxy + name: jupyter_core optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/lazy-object-proxy-1.8.0-py310h8d17308_0.tar.bz2 - version: 1.8.0 + url: https://conda.anaconda.org/conda-forge/win-64/jupyter_core-5.1.0-py310h5588dad_0.conda + version: 5.1.0 - category: main dependencies: jpeg: '>=9e,<10a' @@ -11222,18 +11586,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/lcms2-2.14-h90d422f_0.tar.bz2 version: '2.14' -- category: main - dependencies: - libblas: 3.9.0 16_win64_mkl - hash: - md5: 14c2fb03b2bb14dfa3806186ca91d557 - sha256: 4ca91d4ff2ef409d2426c5aa5f451410bd817c0ad7410f3a95d62ddc13e2d1f1 - manager: conda - name: libcblas - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-16_win64_mkl.tar.bz2 - version: 3.9.0 - category: full dependencies: boost-cpp: '>=1.78.0,<1.78.1.0a0' @@ -11251,18 +11603,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/libkml-1.3.0-hf2ab4e4_1015.tar.bz2 version: 1.3.0 -- category: main - dependencies: - libblas: 3.9.0 16_win64_mkl - hash: - md5: be2f9d5712a5bb05cd900005ee752a05 - sha256: cb10f543120e277e44c342f65bcec2bd27f4bd206f5ea9332efd91e4551e5bac - manager: conda - name: liblapack - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-16_win64_mkl.tar.bz2 - version: 3.9.0 - category: main dependencies: m2w64-gcc-libs: '' @@ -11278,40 +11618,7 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/libxcb-1.13-hcd874cb_1004.tar.bz2 version: '1.13' -- category: main - dependencies: - libzlib: '>=1.2.13,<1.3.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: db4165b53b8010875cc8b663714363cb - sha256: 8231cbb3ce448957410876ee2177ff9a73fb1517405cf9520ac7c10c2fd20cb8 - manager: conda - name: llvmlite - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/llvmlite-0.39.1-py310hb84602e_1.tar.bz2 - version: 0.39.1 -- category: main - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 24e57be449c71b8edc52cc6a48ff846d - sha256: 76576c5fd2a6ad1e987b3df4bba55dab05c0f4f35e4f54c6ddbb9559aaf01537 - manager: conda - name: markupsafe - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.1-py310h8d17308_2.tar.bz2 - version: 2.1.1 -- category: full +- category: full dependencies: python: '>=3.6' traitlets: '' @@ -11324,22 +11631,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.6-pyhd8ed1ab_0.tar.bz2 version: 0.1.6 -- category: main - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 037a60d74aadd3a2f10e1e9580a42a9b - sha256: 9f44cff2cd152db18ef4b8101b6fdb72a8616c80bace71dfff8f248dc0dafe05 - manager: conda - name: msgpack-python - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/msgpack-python-1.0.4-py310h232114e_1.tar.bz2 - version: 1.0.4 - category: full dependencies: python: '' @@ -11370,19 +11661,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/openjpeg-2.5.0-hc9384bd_1.tar.bz2 version: 2.5.0 -- category: main - dependencies: - pyparsing: '>=2.0.2,!=3.0.5' - python: '>=3.6' - hash: - md5: 71f1ab2de48613876becddd496371c85 - sha256: 8322a9e93e2e09fbf2103f0d37c9287b7b97387125abadd6db26686084893540 - manager: conda - name: packaging - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/packaging-21.3-pyhd8ed1ab_0.tar.bz2 - version: '21.3' - category: main dependencies: locket: '' @@ -11403,47 +11681,47 @@ package: setuptools: '' wheel: '' hash: - md5: 6f4c6de9fed2a9bd8043283611b09587 - sha256: 9300dd4a4ca6ced6ebaf455e7be43aeb47e1d764de1c3f448d9dc98ab3b32942 + md5: da66f2851b9836d3a7c5190082a45f7d + sha256: 7a86b2427abbf5cf695da192ba1c03130115f157297e7bfde65f0a18a345a7bc manager: conda name: pip optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/pip-22.3-pyhd8ed1ab_0.tar.bz2 - version: '22.3' + url: https://conda.anaconda.org/conda-forge/noarch/pip-22.3.1-pyhd8ed1ab_0.tar.bz2 + version: 22.3.1 - category: full dependencies: python: '>=3.6' tenacity: '>=6.2.0' hash: - md5: 71aef86c572ad0ee49dba9af238d9c13 - sha256: b41f31aa81bff52d1d473a9f4a45c5600f36b8b7f259a8a572467d1836bad59a + md5: e594a3343150c5c470902d46e1723b45 + sha256: 60de0401c5bd29db1d3112cc56919010d89cfd38239f122c51df78ea5fd82e7e manager: conda name: plotly optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/plotly-5.11.0-pyhd8ed1ab_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/noarch/plotly-5.11.0-pyhd8ed1ab_1.conda version: 5.11.0 - category: full dependencies: krb5: '>=1.19.3,<1.20.0a0' - libpq: 14.5 hf15792c_1 + libpq: 15.1 hf15792c_1 libxml2: '>=2.10.3,<2.11.0a0' libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' zlib: '' hash: - md5: a0ad1503dfc7e5404e8bb49fa76748cf - sha256: 4a4b66e7113851fbf3224052783fe3f15430c717fe9594e5a197187c1b213acd + md5: 5522f38347632c52f675427c7918e57d + sha256: eb00909ee1bf5baaedab5e0d0764285e554a7a70e6a6cf2f37bb7e631599746f manager: conda name: postgresql optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/postgresql-14.5-h58a5ca5_1.tar.bz2 - version: '14.5' + url: https://conda.anaconda.org/conda-forge/win-64/postgresql-15.1-h58a5ca5_1.conda + version: '15.1' - category: full dependencies: libcurl: '>=7.83.1,<8.0a0' @@ -11461,22 +11739,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/proj-9.1.0-h3863b3b_0.tar.bz2 version: 9.1.0 -- category: main - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 3bc49b6bddc80d51bf6c354a9427edba - sha256: 19ef1ca333868ffedbec522bc31bcb00fe68de00343d99f071273b518fbf0e9c - manager: conda - name: psutil - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/psutil-5.9.3-py310h8d17308_1.tar.bz2 - version: 5.9.3 - category: full dependencies: python: '>=3.6' @@ -11490,22 +11752,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/pygments-2.13.0-pyhd8ed1ab_0.tar.bz2 version: 2.13.0 -- category: full - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: eedeabacf0b42aa0bd8081258d3a58dd - sha256: 629fd68e7b306b1fb30b53d6d55a36d88b19a06be4a669dd9d48ba5424ed0102 - manager: conda - name: pyrsistent - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pyrsistent-0.18.1-py310h8d17308_2.tar.bz2 - version: 0.18.1 - category: main dependencies: __win: '' @@ -11520,6 +11766,25 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh0701188_6.tar.bz2 version: 1.7.1 +- category: dev + dependencies: + attrs: '>=19.2.0' + colorama: '' + exceptiongroup: '' + iniconfig: '' + packaging: '' + pluggy: '>=0.12,<2.0' + python: '>=3.8' + tomli: '>=1.0.0' + hash: + md5: ac82c7aebc282e6ac0450fca012ca78c + sha256: 854233dc2d0d64219b7e951ccf49c1f32332c6fc7085ecb62cc18bc1f4e791b0 + manager: conda + name: pytest + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.0-pyhd8ed1ab_2.tar.bz2 + version: 7.2.0 - category: main dependencies: python: '>=3.6' @@ -11535,85 +11800,47 @@ package: version: 2.8.2 - category: full dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: e1401844b4f4ec959e099452a953e764 - sha256: 10729e8e884cbd0d817de5d193c3b08d38fc1395bae0506b75a26e0ead7770a0 - manager: conda - name: pywin32 - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pywin32-304-py310h00ffb61_2.tar.bz2 - version: '304' -- category: full - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - winpty: '' + python: '' + six: '>=1.7.0' hash: - md5: b458638e95b420abf406280bf16df6ab - sha256: cbe687d068ef11133a7d1b918dd35a4f85cd7078a721491d63ccb6b7e72fdabf + md5: a11f356d6f93b74b4a84e9501afd48b4 + sha256: ef407b88c45171f41eadcbbcfd41243cb137fe7438fc18f4cd08181c522664cf manager: conda - name: pywinpty + name: retrying optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pywinpty-2.0.9-py310h00ffb61_0.tar.bz2 - version: 2.0.9 + url: https://conda.anaconda.org/conda-forge/noarch/retrying-1.3.3-py_2.tar.bz2 + version: 1.3.3 - category: main dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 + libhwloc: '>=2.8.0,<2.8.1.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' - yaml: '>=0.2.5,<0.3.0a0' hash: - md5: d0daf3eed98dd2bf4337ed08d8011eb8 - sha256: 7d948a99bf7af50c9823a248267fce75ac555e4f357de166f65a75fab8549f3c + md5: 39365b918d4f04909485f3055b131c86 + sha256: f6489406b16c8a5d0e65df20a43c23999960348dbb999b921899f33d7b1bc1fb manager: conda - name: pyyaml + name: tbb optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0-py310h8d17308_5.tar.bz2 - version: '6.0' -- category: full - dependencies: - libsodium: '>=1.0.18,<1.0.19.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - zeromq: '>=4.3.4,<4.3.5.0a0' - hash: - md5: f475f6fb2ebae89e1126aba220f37fff - sha256: a71af303a6f52ccfe06a97073a4a3cc9e82858f127a25b17262ec38b196de218 - manager: conda - name: pyzmq - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pyzmq-24.0.1-py310hcd737a0_1.tar.bz2 - version: 24.0.1 + url: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.7.0-h91493d7_1.conda + version: 2021.7.0 - category: full dependencies: - python: '' - six: '>=1.7.0' + __win: '' + python: '>=3.7' + pywinpty: '>=1.1.0' + tornado: '>=6.1.0' hash: - md5: a11f356d6f93b74b4a84e9501afd48b4 - sha256: ef407b88c45171f41eadcbbcfd41243cb137fe7438fc18f4cd08181c522664cf + md5: 0152a609d5748ed9887d195b1e61a6c9 + sha256: 5c8fcf31430e0f312bc65ab5aa5b893fcc250820c023b02ff3fd188ae13199a5 manager: conda - name: retrying + name: terminado optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/retrying-1.3.3-py_2.tar.bz2 - version: 1.3.3 + url: https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.0-pyh08f2357_0.tar.bz2 + version: 0.17.0 - category: full dependencies: python: '>=3.5' @@ -11640,21 +11867,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.11.6-pyha770c72_0.tar.bz2 version: 0.11.6 -- category: main - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' - hash: - md5: f5e310d96e266e6acda33c31c722e2cb - sha256: 0af2d677ec17d9c00311b5cba56a1ed5e62328d8c160523b66c8e243fe99dcb0 - manager: conda - name: tornado - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/tornado-6.1-py310he2412df_3.tar.bz2 - version: '6.1' - category: main dependencies: colorama: '' @@ -11680,38 +11892,19 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.4.0-hd8ed1ab_0.tar.bz2 version: 4.4.0 -- category: main - dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 5d14ba562f7740b64be9c8059498cfbf - sha256: 4b93fa5ecf66df2c8558c224bb7404d9fd73e956c3c5db059fb01c1e4bd61ffa - manager: conda - name: unicodedata2 - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/unicodedata2-15.0.0-py310h8d17308_0.tar.bz2 - version: 15.0.0 -- category: dev +- category: full dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + markupsafe: '>=2.1.1' + python: '>=3.7' hash: - md5: f6c526f1cb7207ced358632cd811ccbe - sha256: 75853031e21f9553e1bfb84d60b91d8fbc4083039c3de6b1aea446d98d4ba7c1 + md5: 8e69568592e552919201f730b01a58c2 + sha256: 3bb3d6a98f9e3c6081166d81368e4a0e48fdbfe19e683a957ac344b063c42412 manager: conda - name: wrapt + name: werkzeug optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/wrapt-1.14.1-py310h8d17308_1.tar.bz2 - version: 1.14.1 + url: https://conda.anaconda.org/conda-forge/noarch/werkzeug-2.2.2-pyhd8ed1ab_0.tar.bz2 + version: 2.2.2 - category: main dependencies: heapdict: '' @@ -11742,38 +11935,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/argon2-cffi-bindings-21.2.0-py310h8d17308_3.tar.bz2 version: 21.2.0 -- category: dev - dependencies: - lazy-object-proxy: '>=1.4.0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - setuptools: '>=20.0' - wrapt: '>=1.11,<2' - hash: - md5: d440dcac8c8a48b2b17be40595046bc9 - sha256: 8041a0c7d855aa9347c5697e58e291ecaba44465787fd4c0c4fa398f790c65a3 - manager: conda - name: astroid - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/astroid-2.12.12-py310h5588dad_1.tar.bz2 - version: 2.12.12 -- category: full - dependencies: - packaging: '' - python: '>=3.6' - setuptools: '' - six: '>=1.9.0' - webencodings: '' - hash: - md5: 1f5151d37e4a2b1137f81c89a3a769f2 - sha256: b85dd43a40efd13c860086365d181eb9bc64cc757c36a05edc7544c3fa622bf8 - manager: conda - name: bleach - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/bleach-5.0.1-pyhd8ed1ab_0.tar.bz2 - version: 5.0.1 - category: main dependencies: cffi: '>=1.0.0' @@ -11842,21 +12003,21 @@ package: - category: main dependencies: cffi: '>=1.12' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 94824a66ddf67388833dbad86ed00b8a - sha256: 4661b4bd90832707d3dae1960db8c3905120575e9a8132958288bd826a798809 + md5: 0e8b49bc425a99afa3c8d48776c6e6ed + sha256: 22930c11e3c44785cfc83f739bea5250bee34a078ee90f8840378a100d624aa4 manager: conda name: cryptography optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/cryptography-38.0.2-py310h6e82f81_2.tar.bz2 - version: 38.0.2 + url: https://conda.anaconda.org/conda-forge/win-64/cryptography-38.0.4-py310h6e82f81_0.conda + version: 38.0.4 - category: main dependencies: cloudpickle: '>=1.1.1' @@ -11875,10 +12036,27 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2022.10.0-pyhd8ed1ab_2.tar.bz2 version: 2022.10.0 -- category: main +- category: full dependencies: - brotli: '' - munkres: '' + click: '>=8.0' + importlib-metadata: '>=3.6.0' + itsdangerous: '>=2.0' + jinja2: '>=3.0' + python: '>=3.7' + werkzeug: '>=2.2.2' + hash: + md5: 85fad4c7889dd969ed4c02cf63cfe9c5 + sha256: e047c40122dc3fd53c534924271e9635d3dbf5ba606ccd2bd7f7c70b63697037 + manager: conda + name: flask + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/flask-2.2.2-pyhd8ed1ab_0.tar.bz2 + version: 2.2.2 +- category: main + dependencies: + brotli: '' + munkres: '' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 ucrt: '>=10.0.20348.0' @@ -11912,19 +12090,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/geotiff-1.7.1-h4ffd875_4.tar.bz2 version: 1.7.1 -- category: main - dependencies: - markupsafe: '>=2.0' - python: '>=3.7' - hash: - md5: c8490ed5c70966d232fdd389d0dbed37 - sha256: b045faba7130ab263db6a8fdc96b1a3de5fcf85c4a607c5f11a49e76851500b5 - manager: conda - name: jinja2 - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2 - version: 3.1.2 - category: full dependencies: attrs: '>=17.4.0' @@ -11935,29 +12100,33 @@ package: python: '>=3.7' typing_extensions: '' hash: - md5: f39774717a77d98673ea29d28a586a84 - sha256: ed3cb14323210e9b313cac99c545ea5bab53b3d545d2b7e5b3c359ee3ea8aa4e + md5: 723268a468177cd44568eb8f794e0d80 + sha256: 4f68a23430d1afc5c9b41c46fbac0ade33c0bf57a293c646bfdd6dc65350eada manager: conda name: jsonschema optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.16.0-pyhd8ed1ab_0.tar.bz2 - version: 4.16.0 + url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.17.3-pyhd8ed1ab_0.conda + version: 4.17.3 - category: full dependencies: - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - pywin32: '>=1.0' + entrypoints: '' + jupyter_core: '>=4.9.2' + nest-asyncio: '>=1.5.4' + python: '>=3.7' + python-dateutil: '>=2.8.2' + pyzmq: '>=23.0' + tornado: '>=6.0' traitlets: '' hash: - md5: 50b1faf1dae7bba40b3db74e44ee7756 - sha256: 53313068b18a7e062d691f57615a52b97eb69e6d56b008f6f0b9437342499b44 + md5: dad80938cdccc5c274e954dda56b6eb5 + sha256: 181b36306cf9f389785c63199a14df6154583b605c86ab6c81f36c2fe57b4c9b manager: conda - name: jupyter_core + name: jupyter_client optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/jupyter_core-4.11.1-py310h5588dad_1.tar.bz2 - version: 4.11.1 + url: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-7.3.4-pyhd8ed1ab_0.tar.bz2 + version: 7.3.4 - category: full dependencies: pygments: '>=2.4.1,<3' @@ -11974,17 +12143,18 @@ package: - category: full dependencies: hdf5: '>=1.12.2,<1.12.3.0a0' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 8af922f4e73960925b80852c806879ef - sha256: e4aa5343aafa89dea01e1d39faffe7b0bc667f744b106a3e6d3302800c645265 + md5: 59e439387b2ca19699b8ce1f077ebe0a + sha256: 6b17e3de85f036bc0ae5a971798a81ab94b80f354b1acd17af2f0368905b5ffe manager: conda name: kealib optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/kealib-1.4.15-hdf81f3a_1.tar.bz2 - version: 1.4.15 + url: https://conda.anaconda.org/conda-forge/win-64/kealib-1.5.0-h61be68b_0.conda + version: 1.5.0 - category: full dependencies: bzip2: '>=1.0.8,<2.0a0' @@ -12010,44 +12180,39 @@ package: - category: full dependencies: freexl: '>=1.0.6,<2.0a0' - geos: '>=3.11.0,<3.11.1.0a0' + geos: '>=3.11.1,<3.11.2.0a0' librttopo: '>=1.1.0,<1.2.0a0' - libsqlite: '>=3.39.3,<4.0a0' - libxml2: '>=2.10.2,<2.11.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + libsqlite: '>=3.39.4,<4.0a0' + libxml2: '>=2.10.3,<2.11.0a0' + libzlib: '>=1.2.13,<1.3.0a0' proj: '>=9.1.0,<9.1.1.0a0' - sqlite: '>=3.39.3,<4.0a0' + sqlite: '' + ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' - zlib: '>=1.2.12,<1.3.0a0' + zlib: '' hash: - md5: b2dee850d3480f9c20a2cee4fdb1fd37 - sha256: 24612fe9e682b3c3711e43640565546d07a6a338b86e5101fcc212643d54891c + md5: 5a3076b2c06c63dff2c1e82ed57379dc + sha256: 469b67ed1c5b1cb0f93627e7081a0b0d6695f1b2c427a725e299467c89d7411c manager: conda name: libspatialite optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libspatialite-5.0.1-hd560d62_21.tar.bz2 + url: https://conda.anaconda.org/conda-forge/win-64/libspatialite-5.0.1-h07bf483_22.tar.bz2 version: 5.0.1 - category: main dependencies: - libblas: '>=3.9.0,<4.0a0' - libcblas: '>=3.9.0,<4.0a0' - liblapack: '>=3.9.0,<4.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + intel-openmp: '' + tbb: 2021.* hash: - md5: 3e912fdde0f115791cb783fd35d41ad8 - sha256: d86e0f7d6b96901941000d4cd0db49a3c2754f3cc862c6b75703ca8f70e047c8 + md5: 2ff89a7337a9636029b4db9466e9f8e3 + sha256: b130d13dba6a798cbcce8f19c52e9765b75b8668d2f8f95ba8210c63b6fa84eb manager: conda - name: numpy + name: mkl optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/numpy-1.23.4-py310h4a8f9c9_1.tar.bz2 - version: 1.23.4 + url: https://conda.anaconda.org/conda-forge/win-64/mkl-2022.1.0-h6a75c08_874.tar.bz2 + version: 2022.1.0 - category: main dependencies: freetype: '>=2.12.1,<3.0a0' @@ -12075,74 +12240,77 @@ package: version: 9.2.0 - category: dev dependencies: - attrs: '>=19.2.0' - colorama: '' - exceptiongroup: '' - iniconfig: '' - packaging: '' - pluggy: '>=0.12,<2.0' - python: '>=3.8' - tomli: '>=1.0.0' + astroid: '>=2.12.13,<2.14.0-dev0' + colorama: '>=0.4.5' + dill: '>=0.2' + isort: '>=4.2.5,<6' + mccabe: '>=0.6,<0.8' + platformdirs: '>=2.2.0' + python: '>=3.7.2' + tomli: '>=1.1.0' + tomlkit: '>=0.10.1' + typing_extensions: '>=3.10.0' hash: - md5: ac82c7aebc282e6ac0450fca012ca78c - sha256: 854233dc2d0d64219b7e951ccf49c1f32332c6fc7085ecb62cc18bc1f4e791b0 + md5: 26a62404bbfc93452c4d22aa2cda6f08 + sha256: 852e6a99ec31358324943ade205b0320ca25ba2d594ba215b3e34dee3f16fcae manager: conda - name: pytest + name: pylint optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.0-pyhd8ed1ab_2.tar.bz2 - version: 7.2.0 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/pylint-2.15.8-pyhd8ed1ab_0.conda + version: 2.15.8 +- category: dev dependencies: - asttokens: '' - executing: '' - pure_eval: '' - python: '>=3.5' + coverage: '>=5.2.1' + pytest: '>=4.6' + python: '>=3.6' + setuptools: '' + toml: '' hash: - md5: d62578a476321e761628bb3c428f07f9 - sha256: da0432671a463f59b1a644da103c586ebe690236d9a7716a9e10b1bd42b5456c + md5: 0f7cac11bb696b62d378bde725bfc3eb + sha256: c5feac67a828f10bfa7d5e80b12e0a7c8e3b7b4886ad682aa783bc63f62477ba manager: conda - name: stack_data + name: pytest-cov optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.0-pyhd8ed1ab_0.tar.bz2 - version: 0.6.0 + url: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-3.0.0-pyhd8ed1ab_0.tar.bz2 + version: 3.0.0 - category: full dependencies: - __win: '' - python: '>=3.7' - pywinpty: '>=1.1.0' - tornado: '>=6.1.0' + asttokens: '' + executing: '' + pure_eval: '' + python: '>=3.5' hash: - md5: 0152a609d5748ed9887d195b1e61a6c9 - sha256: 5c8fcf31430e0f312bc65ab5aa5b893fcc250820c023b02ff3fd188ae13199a5 + md5: e7df0fdd404616638df5ece6e69ba7af + sha256: a58433e75229bec39f3be50c02efbe9b7083e53a1f31d8ee247564f370191eec manager: conda - name: terminado + name: stack_data optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.0-pyh08f2357_0.tar.bz2 - version: 0.17.0 + url: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda + version: 0.6.2 - category: full dependencies: bzip2: '>=1.0.8,<2.0a0' curl: '' libzlib: '>=1.2.13,<1.3.0a0' lz4-c: '>=1.9.3,<1.10.0a0' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' zlib: '' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 301b6102734797d622ba0871e7452992 - sha256: 2d84668ba9875b2e927d4c9d3ca1d3d80fa6258aed7d99b72f51a84c65bf153a + md5: accf5a38476be82bea4565ee1fe15efa + sha256: e1f933035956b37fa6c874a09b68d8dc8022fa7caf49b95321b2393d5314625e manager: conda name: tiledb optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/tiledb-2.11.3-h3132609_1.tar.bz2 - version: 2.11.3 + url: https://conda.anaconda.org/conda-forge/win-64/tiledb-2.13.0-h3132609_0.conda + version: 2.13.0 - category: full dependencies: backports.functools_lru_cache: '' @@ -12156,19 +12324,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.5-pyh9f0ad1d_2.tar.bz2 version: 0.2.5 -- category: full - dependencies: - markupsafe: '>=2.1.1' - python: '>=3.7' - hash: - md5: 8e69568592e552919201f730b01a58c2 - sha256: 3bb3d6a98f9e3c6081166d81368e4a0e48fdbfe19e683a957ac344b063c42412 - manager: conda - name: werkzeug - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/werkzeug-2.2.2-pyhd8ed1ab_0.tar.bz2 - version: 2.2.2 - category: full dependencies: argon2-cffi-bindings: '' @@ -12183,837 +12338,714 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-21.3.0-pyhd8ed1ab_0.tar.bz2 version: 21.3.0 +- category: full + dependencies: + brotli-python: '' + flask: '' + python: '>=2.7|>=3.6' + hash: + md5: 19a84270d30c5a0dd10780e3d510e33d + sha256: 75d326f0b12aef8f35080f5a5e2ef26066afcb60e3da765a9a5f4349572acd3b + manager: conda + name: flask-compress + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/flask-compress-1.13-pyhd8ed1ab_0.tar.bz2 + version: '1.13' - category: main dependencies: - numpy: '>=1.16' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + mkl: 2022.1.0 h6a75c08_874 hash: - md5: eb801fd448c931fa196bc3686d6a03c1 - sha256: ca6f17115078c56e1bf4aa735798843060e8c60c04de866163d3f1b329f7e16e + md5: d2e6f4e86cee2b4e8c27ff6884ccdc61 + sha256: 0825e98108590b83f91177a6f31e4815441b2f70c67d29df36f11039c23b947a manager: conda - name: contourpy + name: libblas optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/contourpy-1.0.6-py310h232114e_0.tar.bz2 - version: 1.0.6 + url: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-16_win64_mkl.tar.bz2 + version: 3.9.0 - category: full dependencies: - click: '>=8.0' - importlib-metadata: '>=3.6.0' - itsdangerous: '>=2.0' - jinja2: '>=3.0' + importlib-metadata: '>=3.6' + jsonschema: '>=2.6' + jupyter_core: '' python: '>=3.7' - werkzeug: '>=2.2.2' + python-fastjsonschema: '' + traitlets: '>=5.1' hash: - md5: 85fad4c7889dd969ed4c02cf63cfe9c5 - sha256: e047c40122dc3fd53c534924271e9635d3dbf5ba606ccd2bd7f7c70b63697037 + md5: f8439ce65664bec6d348346590ed57f0 + sha256: 7e7442fbbd721d5be49d1632957b06939b8e6618ae07cbcc4b6d0e07d044f55c manager: conda - name: flask + name: nbformat optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/flask-2.2.2-pyhd8ed1ab_0.tar.bz2 - version: 2.2.2 -- category: main - dependencies: - cached-property: '' - hdf5: '>=1.12.2,<1.12.3.0a0' - numpy: '>=1.21.6,<2.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 13b4432fd169ccbe5b49e075b51da58b - sha256: d16b0d2da8ddeddf20656f4982c959346ef078fc44cc8b7ba8949a4e83d4379c - manager: conda - name: h5py - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/h5py-3.7.0-nompi_py310hae7a582_102.tar.bz2 - version: 3.7.0 + url: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.7.0-pyhd8ed1ab_0.tar.bz2 + version: 5.7.0 - category: full dependencies: - blosc: '>=1.21.1,<2.0a0' - bzip2: '>=1.0.8,<2.0a0' - c-blosc2: '>=2.4.3,<3.0a0' - cfitsio: '>=4.1.0,<4.1.1.0a0' - charls: '>=2.3.4,<2.4.0a0' - giflib: '>=5.2.1,<5.3.0a0' + boost-cpp: '>=1.78.0,<1.78.1.0a0' + cairo: '>=1.16.0,<2.0a0' + fontconfig: '>=2.14.1,<3.0a0' + fonts-conda-ecosystem: '' + freetype: '>=2.12.1,<3.0a0' + gettext: '>=0.21.1,<1.0a0' jpeg: '>=9e,<10a' - jxrlib: '>=1.1,<1.2.0a0' - lcms2: '>=2.12,<3.0a0' - lerc: '>=4.0.0,<5.0a0' - libaec: '>=1.0.6,<2.0a0' - libavif: '>=0.11.1,<0.11.2.0a0' - libbrotlicommon: '>=1.0.9,<1.1.0a0' - libbrotlidec: '>=1.0.9,<1.1.0a0' - libbrotlienc: '>=1.0.9,<1.1.0a0' - libdeflate: '>=1.14,<1.15.0a0' - libpng: '>=1.6.38,<1.7.0a0' + lcms2: '>=2.14,<3.0a0' + libcurl: '>=7.86.0,<8.0a0' + libglib: '>=2.74.1,<3.0a0' + libiconv: '>=1.17,<2.0a0' + libpng: '>=1.6.39,<1.7.0a0' libtiff: '>=4.4.0,<5.0a0' - libwebp-base: '>=1.2.4,<2.0a0' libzlib: '>=1.2.13,<1.3.0a0' - libzopfli: '>=1.0.3,<1.1.0a0' - lz4-c: '>=1.9.3,<1.10.0a0' - numpy: '>=1.21.6,<2.0a0' openjpeg: '>=2.5.0,<3.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - snappy: '>=1.1.9,<2.0a0' + poppler-data: '' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' - xz: '>=5.2.6,<6.0a0' - zfp: '>=1.0.0,<2.0a0' - zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 02c9f946b38786e2a045c05eb7658a6f - sha256: d8e7f7a6d5876a8aea514cf81d73f7d611a958187ba4f65be7d8f7a79b27714f + md5: 2525c54ec216b35a5ad4595c81b73864 + sha256: 62c3087eb6a8a44fd49450533b89c531b7d5509a4326a70680121ff76dcf79dc manager: conda - name: imagecodecs + name: poppler optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/imagecodecs-2022.9.26-py310h68994fe_3.tar.bz2 - version: 2022.9.26 + url: https://conda.anaconda.org/conda-forge/win-64/poppler-22.12.0-ha6c1112_0.conda + version: 22.12.0 - category: full dependencies: - numpy: '' - pillow: '>=8.3.2' - python: '>=3' + python: '>=3.6' + wcwidth: '' hash: - md5: 9d10b00d27b54836d40759608d558276 - sha256: 0f949184ba2b939c05c817b043566c616ea49e373989859e6cc47fd7aa8ea6fa + md5: 4d79ec192e0bfd530a254006d123b9a6 + sha256: 6bd3626799c9467d7aa8ed5f95043e4cea614a1329580980ddcf40cfed3ee860 manager: conda - name: imageio + name: prompt-toolkit optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/imageio-2.22.0-pyhfa7a67d_0.tar.bz2 - version: 2.22.0 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.36-pyha770c72_0.conda + version: 3.0.36 +- category: main dependencies: - entrypoints: '' - jupyter_core: '>=4.9.2' - nest-asyncio: '>=1.5.4' - python: '>=3.7' - python-dateutil: '>=2.8.2' - pyzmq: '>=23.0' - tornado: '>=6.0' - traitlets: '' + cryptography: '>=38.0.0,<39' + python: '>=3.6' hash: - md5: dad80938cdccc5c274e954dda56b6eb5 - sha256: 181b36306cf9f389785c63199a14df6154583b605c86ab6c81f36c2fe57b4c9b + md5: fbfa0a180d48c800f922a10a114a8632 + sha256: 42f04dded77ac2597108378d62b121697d0e982aba7b20a462a7239030563628 manager: conda - name: jupyter_client - optional: true + name: pyopenssl + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-7.3.4-pyhd8ed1ab_0.tar.bz2 - version: 7.3.4 + url: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-22.1.0-pyhd8ed1ab_0.tar.bz2 + version: 22.1.0 - category: full dependencies: - importlib-metadata: '>=3.6' - jsonschema: '>=2.6' - jupyter_core: '' - python: '>=3.7' - python-fastjsonschema: '' - traitlets: '>=5.1' - hash: - md5: f8439ce65664bec6d348346590ed57f0 - sha256: 7e7442fbbd721d5be49d1632957b06939b8e6618ae07cbcc4b6d0e07d044f55c - manager: conda - name: nbformat - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.7.0-pyhd8ed1ab_0.tar.bz2 - version: 5.7.0 -- category: main - dependencies: - llvmlite: '>=0.39.1,<0.40.0a0' - numpy: '>=1.21.6,<2.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 + flask: '>=1.0.4' + flask-compress: '' + plotly: '>=5.0.0' + python: '>=3.6' setuptools: '' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' hash: - md5: 725820197e234654e29be898b90ceffb - sha256: 944d76c6ca2e1d2b7c50b2e08282f6e4056d5ae8a92a08b83854a1fc78bb8b90 + md5: a610529f1cc80da3ffda41228bc9d2c5 + sha256: 93d759dd4c218271712a0f7d40be57ed32766fde472b3b13469a215671b14178 manager: conda - name: numba - optional: false + name: dash + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/numba-0.56.3-py310h19bcfe9_0.tar.bz2 - version: 0.56.3 -- category: main + url: https://conda.anaconda.org/conda-forge/noarch/dash-2.7.1-pyhd8ed1ab_0.conda + version: 2.7.1 +- category: full dependencies: - entrypoints: '' - msgpack-python: '' - numpy: '>=1.7' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - typing-extensions: '>=3.7.4' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + __win: '' + _ipython_minor_entry_point: 8.7.0.* + backcall: '' + colorama: '' + decorator: '' + jedi: '>=0.16' + matplotlib-inline: '' + pickleshare: '' + prompt-toolkit: '>=3.0.11,<3.1.0' + pygments: '>=2.4.0' + python: '>=3.8' + stack_data: '' + traitlets: '>=5' hash: - md5: 5b71b492c0e24367b19ddf02251eb9eb - sha256: 11368b8ddd0ae3891e625b4b56bf374dcee66706e3b93edb5cec4102b6a7c3f3 + md5: d848fc38b9f250d8f6db50ac2b415539 + sha256: cf8d7e1d119d9893c94032cc3218c8d05ef725b360729a2953515f66b7c2ca00 manager: conda - name: numcodecs - optional: false + name: ipython + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/numcodecs-0.10.2-py310h8a704f9_0.tar.bz2 - version: 0.10.2 + url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.7.0-pyh08f2357_0.conda + version: 8.7.0 - category: main dependencies: - numpy: '>=1.21.6,<2.0a0' - python: '>=3.10,<3.11.0a0' - python-dateutil: '>=2.8.1' - python_abi: 3.10.* *_cp310 - pytz: '>=2020.1' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + libblas: 3.9.0 16_win64_mkl hash: - md5: 24aa0024fe97d04bc34bd774892b7317 - sha256: e8887bcf0d0e54d081da983cda0cb1ec5fc13cf02ba7a5f26f6974e2f3126d72 + md5: 14c2fb03b2bb14dfa3806186ca91d557 + sha256: 4ca91d4ff2ef409d2426c5aa5f451410bd817c0ad7410f3a95d62ddc13e2d1f1 manager: conda - name: pandas + name: libcblas optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pandas-1.5.1-py310h1c4a608_1.tar.bz2 - version: 1.5.1 + url: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-16_win64_mkl.tar.bz2 + version: 3.9.0 - category: full dependencies: - boost-cpp: '>=1.78.0,<1.78.1.0a0' - cairo: '>=1.16.0,<2.0a0' - fontconfig: '>=2.14.0,<3.0a0' - fonts-conda-ecosystem: '' - freetype: '>=2.12.1,<3.0a0' - gettext: '>=0.21.1,<1.0a0' + blosc: '>=1.21.2,<2.0a0' + cfitsio: '>=4.2.0,<4.2.1.0a0' + expat: '>=2.5.0,<3.0a0' + freexl: '>=1.0.6,<2.0a0' + geos: '>=3.11.1,<3.11.2.0a0' + geotiff: '>=1.7.1,<1.8.0a0' + hdf4: '>=4.2.15,<4.2.16.0a0' + hdf5: '>=1.12.2,<1.12.3.0a0' + icu: '>=70.1,<71.0a0' jpeg: '>=9e,<10a' - lcms2: '>=2.12,<3.0a0' - libcurl: '>=7.85.0,<8.0a0' - libglib: '>=2.74.0,<3.0a0' + kealib: '>=1.5.0,<1.6.0a0' + lerc: '>=4.0.0,<5.0a0' + libcurl: '>=7.86.0,<8.0a0' + libdeflate: '>=1.14,<1.15.0a0' libiconv: '>=1.17,<2.0a0' - libpng: '>=1.6.38,<1.7.0a0' + libkml: '>=1.3.0,<1.4.0a0' + libnetcdf: '>=4.8.1,<4.8.2.0a0' + libpng: '>=1.6.39,<1.7.0a0' + libpq: '>=15.1,<16.0a0' + libspatialite: '>=5.0.1,<5.1.0a0' + libsqlite: '>=3.40.0,<4.0a0' libtiff: '>=4.4.0,<5.0a0' + libwebp-base: '>=1.2.4,<2.0a0' + libxml2: '>=2.10.3,<2.11.0a0' libzlib: '>=1.2.13,<1.3.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' openjpeg: '>=2.5.0,<3.0a0' - poppler-data: '' + openssl: '>=3.0.7,<4.0a0' + pcre2: '>=10.40,<10.41.0a0' + poppler: '>=22.12.0,<22.13.0a0' + postgresql: '' + proj: '>=9.1.0,<9.1.1.0a0' + qhull: '>=2020.2,<2020.3.0a0' + tiledb: '>=2.13.0,<2.14.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' + xerces-c: '>=3.2.4,<3.3.0a0' + xz: '>=5.2.6,<6.0a0' + zstd: '>=1.5.2,<1.6.0a0' hash: - md5: e4ecf1fe1133eb28359c35c671df263f - sha256: 71d7ef00b0ed55b3d99ada71d10a70f123bfe870c85553db3d1b79f4bebb2b2d + md5: 160d0a1d1887c2d4258aeec674a0e86e + sha256: e1b5337a284e351cd21d9a7a827c5b01f2cec5f8e79b679ef8a05f4fed340e1f manager: conda - name: poppler + name: libgdal optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/poppler-22.10.0-ha6c1112_0.tar.bz2 - version: 22.10.0 + url: https://conda.anaconda.org/conda-forge/win-64/libgdal-3.6.0-hefe12b1_14.conda + version: 3.6.0 +- category: main + dependencies: + libblas: 3.9.0 16_win64_mkl + hash: + md5: be2f9d5712a5bb05cd900005ee752a05 + sha256: cb10f543120e277e44c342f65bcec2bd27f4bd206f5ea9332efd91e4551e5bac + manager: conda + name: liblapack + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-16_win64_mkl.tar.bz2 + version: 3.9.0 - category: full dependencies: - python: '>=3.6' - wcwidth: '' + jupyter_client: '>=6.1.12' + jupyter_core: '>=4.12,!=5.0.*' + nbformat: '>=5.1' + python: '>=3.7' + traitlets: '>=5.3' hash: - md5: 94fee21afe199936bc361608e537cd11 - sha256: 4fadebeef8ff5441e7181cee7b580c69362b3226e41b77ae753226c11b2895bb + md5: 6c7b0d75b66a220274bb5a28c23197f2 + sha256: 400cba87afda16d91c4fab133ed72b37ab0aa6592de61d4d5dd29dc026832a4f manager: conda - name: prompt-toolkit + name: nbclient optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.31-pyha770c72_0.tar.bz2 - version: 3.0.31 -- category: dev + url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.2-pyhd8ed1ab_0.conda + version: 0.7.2 +- category: main dependencies: - astroid: '>=2.12.12,<2.14.0-dev0' - colorama: '>=0.4.5' - dill: '>=0.2' - isort: '>=4.2.5,<6' - mccabe: '>=0.6,<0.8' - platformdirs: '>=2.2.0' - python: '>=3.7.2' - tomli: '>=1.1.0' - tomlkit: '>=0.10.1' - typing_extensions: '>=3.10.0' + brotlipy: '>=0.6.0' + certifi: '' + cryptography: '>=1.3.4' + idna: '>=2.0.0' + pyopenssl: '>=0.14' + pysocks: '>=1.5.6,<2.0,!=1.5.7' + python: <4.0 hash: - md5: 20a795c6e8abea62d460bae344df462b - sha256: f9b6f6daf05c28d241ba327e8999bac327a1e7f0bc8bd115e45abcb71901bee5 + md5: 3078ef2359efd6ecadbc7e085c5e0592 + sha256: 992f2d6ca50c98f865a4f2e4bada23f950e39f33ff7c64614a31ee152ec4d5ae manager: conda - name: pylint + name: urllib3 + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.13-pyhd8ed1ab_0.conda + version: 1.26.13 +- category: full + dependencies: + dash: '>=1.6.1' + python: '' + hash: + md5: ebd54a61606fa8a191932cb72e448418 + sha256: 5e99ab8b5cac15e5d6986a90566a335c21b2849838a6e877bec79efa2e7e346f + manager: conda + name: dash-daq optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/pylint-2.15.5-pyhd8ed1ab_0.tar.bz2 - version: 2.15.5 + url: https://conda.anaconda.org/conda-forge/noarch/dash-daq-0.5.0-pyh9f0ad1d_1.tar.bz2 + version: 0.5.0 - category: main dependencies: - cryptography: '>=38.0.0,<39' - python: '>=3.6' + click: '>=6.6' + cloudpickle: '>=1.5.0' + cytoolz: '>=0.8.2' + dask-core: '>=2022.10.0,<2022.10.1.0a0' + jinja2: '' + locket: '>=1.0.0' + msgpack-python: '>=0.6.0' + packaging: '>=20.0' + psutil: '>=5.0' + python: '>=3.8' + pyyaml: '' + sortedcontainers: '!=2.0.0,!=2.0.1' + tblib: '>=1.6.0' + toolz: '>=0.8.2' + tornado: '>=6.0.3,<6.2' + urllib3: '' + zict: '>=0.1.3' hash: - md5: fbfa0a180d48c800f922a10a114a8632 - sha256: 42f04dded77ac2597108378d62b121697d0e982aba7b20a462a7239030563628 + md5: 3dc3dceb9ad4ce190fcd4e31d903ac5f + sha256: 5cad2f5416814c4c72504741594f9167f2d49b79e3c5316545f33135b53da676 manager: conda - name: pyopenssl + name: distributed optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-22.1.0-pyhd8ed1ab_0.tar.bz2 - version: 22.1.0 -- category: dev + url: https://conda.anaconda.org/conda-forge/noarch/distributed-2022.10.0-pyhd8ed1ab_2.tar.bz2 + version: 2022.10.0 +- category: full dependencies: - coverage: '>=5.2.1' - pytest: '>=4.6' - python: '>=3.6' - setuptools: '' - toml: '' + __win: '' + comm: '>=0.1' + debugpy: '>=1.0' + ipython: '>=7.23.1' + jupyter_client: '>=6.1.12' + matplotlib-inline: '>=0.1' + nest-asyncio: '' + packaging: '' + psutil: '' + python: '>=3.8' + pyzmq: '>=17' + tornado: '>=6.1' + traitlets: '>=5.1.0' hash: - md5: 0f7cac11bb696b62d378bde725bfc3eb - sha256: c5feac67a828f10bfa7d5e80b12e0a7c8e3b7b4886ad682aa783bc63f62477ba + md5: 37bf29d59d4bdce159f916500bdafb83 + sha256: 75b1f2dce81f56f15173b13aafe771d7cb80c96f8cf042e29d49da751a2cdf7e manager: conda - name: pytest-cov + name: ipykernel optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-3.0.0-pyhd8ed1ab_0.tar.bz2 - version: 3.0.0 + url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.19.2-pyh025b116_0.conda + version: 6.19.2 - category: full dependencies: - numpy: '>=1.21.6,<2.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + beautifulsoup4: '' + bleach: '' + defusedxml: '' + entrypoints: '>=0.2.2' + jinja2: '>=3.0' + jupyter_core: '>=4.7' + jupyterlab_pygments: '' + markupsafe: '>=2.0' + mistune: '>=2.0.3,<3' + nbclient: '>=0.5.0' + nbformat: '>=5.1' + packaging: '' + pandocfilters: '>=1.4.1' + pygments: '>=2.4.1' + python: '>=3.7' + tinycss2: '' + traitlets: '>=5.0' hash: - md5: da29a11f84e99fa7f83f8ba32a501f6b - sha256: 455e38355f5a05c4ed7899c18c601e47dc4e43f4f51148315b0d324d639573d2 + md5: d222e8861fa78999b66ae7fa14710c1c + sha256: b40fdc7bacaff6b926af36e622654850ebd8e03786c62a1a38a38fd42a51d60a manager: conda - name: pywavelets + name: nbconvert-core optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pywavelets-1.3.0-py310h9b08ddd_2.tar.bz2 - version: 1.3.0 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 - category: main dependencies: libblas: '>=3.9.0,<4.0a0' libcblas: '>=3.9.0,<4.0a0' liblapack: '>=3.9.0,<4.0a0' - m2w64-gcc-libs: '' - numpy: '>=1.21.6,<2.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 90ce3c20a42faeb8f9066f16d0e712c8 - sha256: 1d7dae172d9d15c026357c69338de6b33f62468a3c82f7c96a1054c4020df5bb + md5: f734ade6fd852582e5c1a09152dd3a60 + sha256: 92900cc7e9561ea177878f838a6a8a105b750d5971affedc648090ef22b4db23 manager: conda - name: scipy + name: numpy optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/scipy-1.9.3-py310h578b7cb_1.tar.bz2 - version: 1.9.3 -- category: full + url: https://conda.anaconda.org/conda-forge/win-64/numpy-1.23.5-py310h4a8f9c9_0.conda + version: 1.23.5 +- category: dev dependencies: - geos: '>=3.11.0,<3.11.1.0a0' - numpy: '>=1.21.6,<2.0a0' - python: '>=3.10,<3.11.0a0' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + certifi: '>=2017.4.17' + charset-normalizer: '>=2,<3' + idna: '>=2.5,<4' + python: '>=3.7,<4.0' + urllib3: '>=1.21.1,<1.27' hash: - md5: a42a90263395ce482d8649dcc32a2f1d - sha256: 30b29253738eaf2eeee140e5c61316e97cd4dd5a00e7d906f02a94e1aa3860cd + md5: 089382ee0e2dc2eae33a04cc3c2bddb0 + sha256: b45d0da6774c8231ab4fef0427b3050e7c54c84dfe453143dd4010999c89e050 manager: conda - name: shapely + name: requests optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/shapely-1.8.5-py310h3734685_1.tar.bz2 - version: 1.8.5 + url: https://conda.anaconda.org/conda-forge/noarch/requests-2.28.1-pyhd8ed1ab_1.tar.bz2 + version: 2.28.1 - category: main dependencies: - numpy: '>=1.7' - python: '' + numpy: '>=1.16' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 7a6395b244b183e9e55e606e3d68e83b - sha256: 891620c6e65716efa84832458ff972037faf31a2009421ad120807dedd360402 + md5: eb801fd448c931fa196bc3686d6a03c1 + sha256: ca6f17115078c56e1bf4aa735798843060e8c60c04de866163d3f1b329f7e16e manager: conda - name: vectormath + name: contourpy optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/vectormath-0.2.2-py_0.tar.bz2 - version: 0.2.2 -- category: main + url: https://conda.anaconda.org/conda-forge/win-64/contourpy-1.0.6-py310h232114e_0.tar.bz2 + version: 1.0.6 +- category: full dependencies: + hdf5: '>=1.12.2,<1.12.3.0a0' + libgdal: 3.6.0 hefe12b1_14 numpy: '>=1.21.6,<2.0a0' + openssl: '>=3.0.7,<4.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 - scipy: '>=0.13' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 7f313a70e136066343932415dcaa64b4 - sha256: 531719da40ada6e54d86ec2437172a687ddb52034e85063bd2f03540fc0bb9c0 + md5: 2a6c7f7bb83c4796260f8c2f6950c079 + sha256: 781b2fecfbe48e979c7bed51fcd9843ac2ddce33ce97fe00017d8072518107c4 manager: conda - name: discretize - optional: false + name: gdal + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/discretize-0.7.4-py310hc781a3c_0.tar.bz2 - version: 0.7.4 + url: https://conda.anaconda.org/conda-forge/win-64/gdal-3.6.0-py310h644bc08_14.conda + version: 3.6.0 - category: main dependencies: - numba: '>=0.47' - python: '>=3.7' - scipy: '>=1.4.0' + cached-property: '' + hdf5: '>=1.12.2,<1.12.3.0a0' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: df7965121f7c2d03a9f444e5307a6550 - sha256: d01a52b5aa35962f6d160be459a4c2859079a0212b518ccaeaa2bc4a69a9568c + md5: 13b4432fd169ccbe5b49e075b51da58b + sha256: d16b0d2da8ddeddf20656f4982c959346ef078fc44cc8b7ba8949a4e83d4379c manager: conda - name: empymod + name: h5py optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/empymod-2.2.1-pyhd8ed1ab_0.tar.bz2 - version: 2.2.1 -- category: full - dependencies: - brotli-python: '' - flask: '' - python: '>=2.7|>=3.6' - hash: - md5: 19a84270d30c5a0dd10780e3d510e33d - sha256: 75d326f0b12aef8f35080f5a5e2ef26066afcb60e3da765a9a5f4349572acd3b - manager: conda - name: flask-compress - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/flask-compress-1.13-pyhd8ed1ab_0.tar.bz2 - version: '1.13' -- category: full - dependencies: - __win: '' - backcall: '' - colorama: '' - decorator: '' - jedi: '>=0.16' - matplotlib-inline: '' - pickleshare: '' - prompt-toolkit: '>3.0.1,<3.1.0' - pygments: '>=2.4.0' - python: '>=3.8' - stack_data: '' - traitlets: '>=5' - hash: - md5: 2841523ef1ea32772de957e803c76d8b - sha256: 0fd4399523ca92a32d26825184a5876c15e6825862268711bff8c0399c76f82e - manager: conda - name: ipython - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.6.0-pyh08f2357_1.tar.bz2 - version: 8.6.0 + url: https://conda.anaconda.org/conda-forge/win-64/h5py-3.7.0-nompi_py310hae7a582_102.tar.bz2 + version: 3.7.0 - category: full dependencies: blosc: '>=1.21.1,<2.0a0' - cfitsio: '>=4.1.0,<4.1.1.0a0' - expat: '>=2.5.0,<3.0a0' - freexl: '>=1.0.6,<2.0a0' - geos: '>=3.11.0,<3.11.1.0a0' - geotiff: '>=1.7.1,<1.8.0a0' - hdf4: '>=4.2.15,<4.2.16.0a0' - hdf5: '>=1.12.2,<1.12.3.0a0' - icu: '>=70.1,<71.0a0' + bzip2: '>=1.0.8,<2.0a0' + c-blosc2: '>=2.4.3,<3.0a0' + cfitsio: '>=4.2.0,<4.2.1.0a0' + charls: '>=2.3.4,<2.4.0a0' + giflib: '>=5.2.1,<5.3.0a0' jpeg: '>=9e,<10a' - kealib: '>=1.4.15,<1.5.0a0' - libkml: '>=1.3.0,<1.4.0a0' - libnetcdf: '>=4.8.1,<4.8.2.0a0' + jxrlib: '>=1.1,<1.2.0a0' + lcms2: '>=2.14,<3.0a0' + lerc: '>=4.0.0,<5.0a0' + libaec: '>=1.0.6,<2.0a0' + libavif: '>=0.11.1,<0.11.2.0a0' + libbrotlicommon: '>=1.0.9,<1.1.0a0' + libbrotlidec: '>=1.0.9,<1.1.0a0' + libbrotlienc: '>=1.0.9,<1.1.0a0' + libdeflate: '>=1.14,<1.15.0a0' libpng: '>=1.6.38,<1.7.0a0' - libpq: '>=14.5,<15.0a0' - libspatialite: '>=5.0.1,<5.1.0a0' - libsqlite: '>=3.39.4,<4.0a0' libtiff: '>=4.4.0,<5.0a0' libwebp-base: '>=1.2.4,<2.0a0' - libxml2: '>=2.10.3,<2.11.0a0' libzlib: '>=1.2.13,<1.3.0a0' + libzopfli: '>=1.0.3,<1.1.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' + numpy: '>=1.21.6,<2.0a0' openjpeg: '>=2.5.0,<3.0a0' - openssl: '>=3.0.5,<4.0a0' - pcre: '>=8.45,<9.0a0' - poppler: '>=22.10.0,<22.11.0a0' - postgresql: '' - proj: '>=9.1.0,<9.1.1.0a0' - tiledb: '>=2.11.3,<2.12.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + snappy: '>=1.1.9,<2.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' - xerces-c: '>=3.2.4,<3.3.0a0' xz: '>=5.2.6,<6.0a0' + zfp: '>=1.0.0,<2.0a0' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 6b9a832784b965e71a82a60311cc7147 - sha256: 25f4e4e74ea1d368ac16c036193c5f4b3a8572c2fefcdfac65cc0e93d2301eab + md5: 8c82bee96080ff082cb563f0f11deb7c + sha256: 3e8920e6fb87f41687453fe65e1f3bde7519634bfc2f09ded4828836a0e9edcb manager: conda - name: libgdal + name: imagecodecs optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libgdal-3.5.3-h283e77c_0.tar.bz2 - version: 3.5.3 -- category: main + url: https://conda.anaconda.org/conda-forge/win-64/imagecodecs-2022.9.26-py310h99cb1c7_4.conda + version: 2022.9.26 +- category: full dependencies: - certifi: '>=2020.06.20' - contourpy: '>=1.0.1' - cycler: '>=0.10' - fonttools: '>=4.22.0' - freetype: '>=2.12.1,<3.0a0' - kiwisolver: '>=1.0.1' - numpy: '>=1.21.6,<2.0a0' - packaging: '>=20.0' - pillow: '>=6.2.0' - pyparsing: '>=2.2.1' - python: '>=3.10,<3.11.0a0' - python-dateutil: '>=2.7' - python_abi: 3.10.* *_cp310 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + numpy: '' + pillow: '>=8.3.2' + python: '>=3' + hash: + md5: 4fef7788eaed184136c627a8c5feced6 + sha256: c1a49325a3208a875bc5d2ab2d866c820a60a0c6561c4efe796ad78e10085123 + manager: conda + name: imageio + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/imageio-2.22.4-pyhfa7a67d_1.conda + version: 2.22.4 +- category: full + dependencies: + ansi2html: '' + dash: '' + flask: '' + ipykernel: '' + ipython: '' + nest-asyncio: '' + python: '>=3.5' + requests: '' + retrying: '' + hash: + md5: 9c77330b235666f244a7b8dcc7c0955a + sha256: 1b664f4776f45c897bb783fbfae19c400d58b1e68bdd1942da2c95a4e7f50091 + manager: conda + name: jupyter-dash + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/jupyter-dash-0.4.2-pyhd8ed1ab_1.tar.bz2 + version: 0.4.2 +- category: full + dependencies: + anyio: '>=3.1.0' + argon2-cffi: '' + jinja2: '' + jupyter_client: '>=6.1.12' + jupyter_core: '>=4.7.0' + nbconvert-core: '>=6.4.4' + nbformat: '>=5.2.0' + packaging: '' + prometheus_client: '' + python: '>=3.7' + pyzmq: '>=17' + send2trash: '' + terminado: '>=0.8.3' + tornado: '>=6.1.0' + traitlets: '>=5.1.0' + websocket-client: '' hash: - md5: 7eeb6a319e6b2cd4a6ea5e6ee1aec713 - sha256: b0807ce7f07e8c304a7ef27c3ecb7d0f9393e03090405ec7e9d8390015ed5deb + md5: c497ada2dbcb07e6912756f4ea709f65 + sha256: 125d721aa32f00c33078e8b5e0d76b5333e65afccd5631970e57eaadb9ab8858 manager: conda - name: matplotlib-base - optional: false + name: jupyter_server + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.6.1-py310h51140c5_1.tar.bz2 - version: 3.6.1 + url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.23.3-pyhd8ed1ab_0.conda + version: 1.23.3 - category: full dependencies: - jupyter_client: '>=6.1.5' - nbformat: '>=5.0' - nest-asyncio: '' + nbconvert-core: 7.2.6 pyhd8ed1ab_0 + pandoc: '' python: '>=3.7' - traitlets: '>=5.2.2' hash: - md5: 87eed34d791330d8acdab6a8ab63113f - sha256: ef28a3c4e3a218ae48b1e7a24ec7a8bb4f6da0096135d1155a5a5cc71393aaf4 + md5: c75ece5b10744eb2db7e9faaa02e25eb + sha256: 51a768efc97c48b2d768a53d2c100253d04446d4feff037dd95bb5e37c778a86 manager: conda - name: nbclient + name: nbconvert-pandoc optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.0-pyhd8ed1ab_0.tar.bz2 - version: 0.7.0 -- category: main - dependencies: - numpy: '>=1.7' - python: '' - six: '' - vectormath: '>=0.1.4' - hash: - md5: 62052fa8409d12536ff149e25b0e9905 - sha256: 693596b821b28f8d9710e80a143816e55fc401b8cd2f0b0d777f5155bd3358f2 - manager: conda - name: properties - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/properties-0.6.1-py_0.tar.bz2 - version: 0.6.1 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 - category: main dependencies: - mkl: '>=2022.1.0,<2023.0a0' + llvmlite: '>=0.39.1,<0.40.0a0' numpy: '>=1.21.6,<2.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 - scipy: '>=0.13' + setuptools: '' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: be5580cf9f16fe52820c00c8edc39e15 - sha256: a2d0ef0294fff49ee8e927ecb56562c0ae71f2217cdf8bbe4d574dded0f989d7 + md5: 6056b5adcba018b637a6ad4ceea5b537 + sha256: f02efd294981028348b8b2bcd6340b7fb1e2c44ac5d742220f8f2e10eecf546c manager: conda - name: pydiso + name: numba optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pydiso-0.0.3-py310h847dae0_4.tar.bz2 - version: 0.0.3 + url: https://conda.anaconda.org/conda-forge/win-64/numba-0.56.4-py310h19bcfe9_0.conda + version: 0.56.4 - category: main dependencies: - joblib: '>=1.0.0' - libcblas: '>=3.9.0,<4.0a0' - numpy: '>=1.21.6,<2.0a0' + entrypoints: '' + msgpack-python: '' + numpy: '>=1.7' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 - scipy: '' - threadpoolctl: '>=2.0.0' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 6fd6e3a3618d97926d288e0c66d2f59e - sha256: 0ad41c95744cfcdffc8d9f1d1575588f38e814613f059f1ea2709e9921f1c1b9 - manager: conda - name: scikit-learn - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.1.3-py310had3394f_1.tar.bz2 - version: 1.1.3 -- category: full - dependencies: - imagecodecs: '>=2021.11.20' - numpy: '>=1.19.2' - python: '>=3.8' - hash: - md5: 1c126ff5b4643785bbc16e44e6327e41 - sha256: 85153fe85b205e01f62fcfddcc47c2c6a8cb6062d4e0e73e0a0a71f01a984f33 - manager: conda - name: tifffile - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2022.10.10-pyhd8ed1ab_0.tar.bz2 - version: 2022.10.10 -- category: main - dependencies: - brotlipy: '>=0.6.0' - certifi: '' - cryptography: '>=1.3.4' - idna: '>=2.0.0' - pyopenssl: '>=0.14' - pysocks: '>=1.5.6,<2.0,!=1.5.7' - python: <4.0 + typing-extensions: '>=3.7.4' + vc: '>=14.1,<15' + vs2015_runtime: '>=14.16.27033' hash: - md5: 0738978569b10669bdef41c671252dd1 - sha256: 57a823b83428156aa2bc18f34159a744657c9bd117a125ca4559b0518a2e4fa2 + md5: 5b71b492c0e24367b19ddf02251eb9eb + sha256: 11368b8ddd0ae3891e625b4b56bf374dcee66706e3b93edb5cec4102b6a7c3f3 manager: conda - name: urllib3 + name: numcodecs optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.11-pyhd8ed1ab_0.tar.bz2 - version: 1.26.11 + url: https://conda.anaconda.org/conda-forge/win-64/numcodecs-0.10.2-py310h8a704f9_0.tar.bz2 + version: 0.10.2 - category: main dependencies: - asciitree: '' - fasteners: '' - numcodecs: '>=0.10.0' - numpy: '>=1.7' - python: '>=3.5' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python-dateutil: '>=2.8.1' + python_abi: 3.10.* *_cp310 + pytz: '>=2020.1' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 7e212240cf03e35a6b3201010a1a1e12 - sha256: 522e72b5f4f1d49d73bdd7fc92a4e51efe86910460577646f553905969d11550 + md5: 905643029444cd6ed5b11b918c3d04f8 + sha256: fce17e2fdca451ac46769ffe961cd0e1c939f4cc1426837233199dbbb0a81317 manager: conda - name: zarr + name: pandas optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/zarr-2.13.3-pyhd8ed1ab_0.tar.bz2 - version: 2.13.3 + url: https://conda.anaconda.org/conda-forge/win-64/pandas-1.5.2-py310h1c4a608_0.conda + version: 1.5.2 - category: full dependencies: - flask: '>=1.0.4' - flask-compress: '' - plotly: '>=5.0.0' - python: '>=3.6' - setuptools: '' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 08473f0b4d35533dec6cf77149dcecbc - sha256: 3bb47d32349addf8be7f939700b9b4c1d1548a794389dd3b1217a0003a9f15a1 + md5: da29a11f84e99fa7f83f8ba32a501f6b + sha256: 455e38355f5a05c4ed7899c18c601e47dc4e43f4f51148315b0d324d639573d2 manager: conda - name: dash + name: pywavelets optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/dash-2.6.2-pyhd8ed1ab_0.tar.bz2 - version: 2.6.2 + url: https://conda.anaconda.org/conda-forge/win-64/pywavelets-1.3.0-py310h9b08ddd_2.tar.bz2 + version: 1.3.0 - category: main dependencies: - click: '>=6.6' - cloudpickle: '>=1.5.0' - cytoolz: '>=0.8.2' - dask-core: '>=2022.10.0,<2022.10.1.0a0' - jinja2: '' - locket: '>=1.0.0' - msgpack-python: '>=0.6.0' - packaging: '>=20.0' - psutil: '>=5.0' - python: '>=3.8' - pyyaml: '' - sortedcontainers: '!=2.0.0,!=2.0.1' - tblib: '>=1.6.0' - toolz: '>=0.8.2' - tornado: '>=6.0.3,<6.2' - urllib3: '' - zict: '>=0.1.3' + libblas: '>=3.9.0,<4.0a0' + libcblas: '>=3.9.0,<4.0a0' + liblapack: '>=3.9.0,<4.0a0' + m2w64-gcc-libs: '' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 3dc3dceb9ad4ce190fcd4e31d903ac5f - sha256: 5cad2f5416814c4c72504741594f9167f2d49b79e3c5316545f33135b53da676 + md5: dd00a0a254b250f6cc7546be6e79e396 + sha256: 4eb650f66f457a67b1ba8dda476d7f4de38fa1cddd1f64fb8e483fc82d42397b manager: conda - name: distributed + name: scipy optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/distributed-2022.10.0-pyhd8ed1ab_2.tar.bz2 - version: 2022.10.0 + url: https://conda.anaconda.org/conda-forge/win-64/scipy-1.9.3-py310h578b7cb_2.tar.bz2 + version: 1.9.3 - category: full dependencies: - hdf5: '>=1.12.2,<1.12.3.0a0' - libgdal: 3.5.3 h283e77c_0 + geos: '>=3.11.1,<3.11.2.0a0' numpy: '>=1.21.6,<2.0a0' - openssl: '>=3.0.5,<4.0a0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: f70df8099e283121f76653d41eec31dd - sha256: c7151384a3b2984982d28e2185ec404dfffb86455695d6d67d0c43f939b33bb9 + md5: 0d7b76a087fdabace87bdf1b9f38a467 + sha256: e51c9455ff3a378bf02fe74b871b832db55b7e14fccedc4f7b902c0a07255f9f manager: conda - name: gdal + name: shapely optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/gdal-3.5.3-py310h644bc08_0.tar.bz2 - version: 3.5.3 + url: https://conda.anaconda.org/conda-forge/win-64/shapely-2.0.0-py310h8c82734_0.conda + version: 2.0.0 - category: main dependencies: - future: '' - matplotlib-base: '' numpy: '>=1.7' - properties: '' python: '' - scipy: '>=0.13' - utm: '' - vectormath: '' - hash: - md5: 940c153c790eec5801d26ad7115d69bf - sha256: 6ef4cb86ab786166d39b6a55f2b5b9027f298d4aa7ba676d587b31cf80053ae5 - manager: conda - name: geoana - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/geoana-0.0.6-py_1.tar.bz2 - version: 0.0.6 -- category: full - dependencies: - __win: '' - debugpy: '>=1.0' - ipython: '>=7.23.1' - jupyter_client: '>=6.1.12' - matplotlib-inline: '>=0.1' - nest-asyncio: '' - packaging: '' - psutil: '' - python: '>=3.8' - pyzmq: '>=17' - tornado: '>=6.1' - traitlets: '>=5.1.0' - hash: - md5: e97aa24b5fb3c0bddad7e408fd99f2bf - sha256: 808daef2205d2676c2943301891b78308b6032f198d98f692691886a71aafb0d - manager: conda - name: ipykernel - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.17.0-pyh025b116_0.tar.bz2 - version: 6.17.0 -- category: full - dependencies: - beautifulsoup4: '' - bleach: '' - defusedxml: '' - entrypoints: '>=0.2.2' - jinja2: '>=3.0' - jupyter_core: '>=4.7' - jupyterlab_pygments: '' - markupsafe: '>=2.0' - mistune: '>=2.0.3,<3' - nbclient: '>=0.5.0' - nbformat: '>=5.1' - packaging: '' - pandocfilters: '>=1.4.1' - pygments: '>=2.4.1' - python: '>=3.7' - tinycss2: '' - traitlets: '>=5.0' - hash: - md5: fa00f301fe82fe2b260f58789440587b - sha256: fd5f7512edd5b13d0aa09be9bf1336de433886fdf94bf668220e3e74b36ac3f7 - manager: conda - name: nbconvert-core - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 -- category: main - dependencies: - numpy: '' - pydiso: '' - python: '>=3.6' - scipy: '' hash: - md5: d824e3266c690c6b8c662cf19fa62b3f - sha256: e1d39044c41541a09ba846c51c2ba315858622dfb4e7eaebcb0823316159fab8 + md5: 7a6395b244b183e9e55e606e3d68e83b + sha256: 891620c6e65716efa84832458ff972037faf31a2009421ad120807dedd360402 manager: conda - name: pymatsolver + name: vectormath optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/pymatsolver-0.2.0-pyhd8ed1ab_0.tar.bz2 - version: 0.2.0 -- category: dev - dependencies: - certifi: '>=2017.4.17' - charset-normalizer: '>=2,<3' - idna: '>=2.5,<4' - python: '>=3.7,<4.0' - urllib3: '>=1.21.1,<1.27' - hash: - md5: 089382ee0e2dc2eae33a04cc3c2bddb0 - sha256: b45d0da6774c8231ab4fef0427b3050e7c54c84dfe453143dd4010999c89e050 - manager: conda - name: requests - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/requests-2.28.1-pyhd8ed1ab_1.tar.bz2 - version: 2.28.1 -- category: full - dependencies: - cloudpickle: '>=0.2.1' - cytoolz: '>=0.7.3' - dask-core: '>=1.0.0,!=2.17.0' - imageio: '>=2.3.0' - networkx: '>=2.2' + url: https://conda.anaconda.org/conda-forge/noarch/vectormath-0.2.2-py_0.tar.bz2 + version: 0.2.2 +- category: main + dependencies: numpy: '>=1.21.6,<2.0a0' - packaging: '>=20.0' - pillow: '>=6.1.0,!=7.1.0,!=7.1.1,!=8.3.0' python: '>=3.10,<3.11.0a0' python_abi: 3.10.* *_cp310 - pywavelets: '>=1.1.1' - scipy: '>=1.4.1' - tifffile: '>=2019.7.26' - toolz: '>=0.7.3' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + scipy: '>=0.13' + vc: '>=14.1,<15' + vs2015_runtime: '>=14.16.27033' hash: - md5: 99759a602e6fdb8d5666b5d459801706 - sha256: ef267bf8909d2198c6fb192079721abfea3042eca025cf9acda606f4e3d90e95 + md5: 7f313a70e136066343932415dcaa64b4 + sha256: 531719da40ada6e54d86ec2437172a687ddb52034e85063bd2f03540fc0bb9c0 manager: conda - name: scikit-image - optional: true + name: discretize + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/scikit-image-0.19.3-py310h1c4a608_2.tar.bz2 - version: 0.19.3 -- category: full + url: https://conda.anaconda.org/conda-forge/win-64/discretize-0.7.4-py310hc781a3c_0.tar.bz2 + version: 0.7.4 +- category: main dependencies: - dash: '>=1.6.1' - python: '' + numba: '>=0.47' + python: '>=3.7' + scipy: '>=1.4.0' hash: - md5: ebd54a61606fa8a191932cb72e448418 - sha256: 5e99ab8b5cac15e5d6986a90566a335c21b2849838a6e877bec79efa2e7e346f + md5: df7965121f7c2d03a9f444e5307a6550 + sha256: d01a52b5aa35962f6d160be459a4c2859079a0212b518ccaeaa2bc4a69a9568c manager: conda - name: dash-daq - optional: true + name: empymod + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/dash-daq-0.5.0-pyh9f0ad1d_1.tar.bz2 - version: 0.5.0 + url: https://conda.anaconda.org/conda-forge/noarch/empymod-2.2.1-pyhd8ed1ab_0.tar.bz2 + version: 2.2.1 - category: full dependencies: attrs: '>=17' @@ -13021,7 +13053,7 @@ package: click-plugins: '>=1.0' cligj: '>=0.5' gdal: '' - libgdal: '>=3.5.3,<3.6.0a0' + libgdal: '>=3.6.0,<3.7.0a0' munch: '' numpy: '>=1.21.6,<2.0a0' python: '>=3.10,<3.11.0a0' @@ -13033,102 +13065,172 @@ package: vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: c3223c47fab23d37c12c94e7cd6b3573 - sha256: c88a6da68eb9dde6e785ce67183915881c0a25520dd8c14e47bb7a1e357703f5 + md5: 92587b6a0e024736b9ebc2bd2227aa5c + sha256: 86a9132c0b47fa48062750a76c70914e3c70d00614deed5e1be62fac60a91a7f manager: conda name: fiona optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/fiona-1.8.22-py310h30f9a14_1.tar.bz2 + url: https://conda.anaconda.org/conda-forge/win-64/fiona-1.8.22-py310h4a685fe_3.conda version: 1.8.22 -- category: full +- category: main dependencies: - ansi2html: '' - dash: '' - flask: '' - ipykernel: '' - ipython: '' - nest-asyncio: '' - python: '>=3.5' - requests: '' - retrying: '' + certifi: '>=2020.06.20' + contourpy: '>=1.0.1' + cycler: '>=0.10' + fonttools: '>=4.22.0' + freetype: '>=2.12.1,<3.0a0' + kiwisolver: '>=1.0.1' + numpy: '>=1.21.6,<2.0a0' + packaging: '>=20.0' + pillow: '>=6.2.0' + pyparsing: '>=2.3.1' + python: '>=3.10,<3.11.0a0' + python-dateutil: '>=2.7' + python_abi: 3.10.* *_cp310 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 9c77330b235666f244a7b8dcc7c0955a - sha256: 1b664f4776f45c897bb783fbfae19c400d58b1e68bdd1942da2c95a4e7f50091 + md5: 51a43b04e415da8dd0850c2ded044c6e + sha256: f1ef00bb3af1777bb16ccbab290f2b3e5e9abd5885bfdc619a213499399b9f65 manager: conda - name: jupyter-dash - optional: true + name: matplotlib-base + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/jupyter-dash-0.4.2-pyhd8ed1ab_1.tar.bz2 - version: 0.4.2 + url: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.6.2-py310h51140c5_0.tar.bz2 + version: 3.6.2 - category: full dependencies: - anyio: '>=3.1.0' - argon2-cffi: '' - jinja2: '' - jupyter_client: '>=6.1.12' - jupyter_core: '>=4.7.0' - nbconvert-core: '>=6.4.4' - nbformat: '>=5.2.0' - packaging: '' - prometheus_client: '' + nbconvert-core: 7.2.6 pyhd8ed1ab_0 + nbconvert-pandoc: 7.2.6 pyhd8ed1ab_0 python: '>=3.7' - pyzmq: '>=17' - send2trash: '' - terminado: '>=0.8.3' - tornado: '>=6.1.0' - traitlets: '>=5.1.0' - websocket-client: '' hash: - md5: 81f31b184703349ea7280c49ca4b5b4e - sha256: b14fe42d7eab0cefe9140b2e21ab139a408c5f4b3b7ba9cfdd438ff3ed17490d + md5: cad325a4f09969426cd099d5c9f689f5 + sha256: b428afd52bcf4f395a423293c93f89c97fa71f03b019dc799542d45f429f9b7b manager: conda - name: jupyter_server + name: nbconvert optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.21.0-pyhd8ed1ab_0.tar.bz2 - version: 1.21.0 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 - category: full dependencies: - nbconvert-core: 7.2.3 pyhd8ed1ab_0 - pandoc: '' + jupyter_server: '>=1.8,<3' python: '>=3.7' hash: - md5: 895c58bc1aa507933ad2ed9759682d9f - sha256: 5f7f9a907a1897fbe2139b176650b780d738e4b2dd5daac03bfdd6b957be2ffa + md5: 40be846cd4e78672a40e43db9dae753c + sha256: d798a6a1938e3efa1562d3477a0337720ce07ef571c8b0255d80089f285eaf8a manager: conda - name: nbconvert-pandoc + name: notebook-shim optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.2-pyhd8ed1ab_0.tar.bz2 + version: 0.2.2 +- category: main dependencies: - nbconvert-core: 7.2.3 pyhd8ed1ab_0 - nbconvert-pandoc: 7.2.3 pyhd8ed1ab_0 - python: '>=3.7' + numpy: '>=1.7' + python: '' + six: '' + vectormath: '>=0.1.4' hash: - md5: 7c1dbb2baf7c43c56fe1940a721f2678 - sha256: 207c88766cf465ce4f4a56e4439c83236a987fd737e4e83a9866f32b6e98747c + md5: 62052fa8409d12536ff149e25b0e9905 + sha256: 693596b821b28f8d9710e80a143816e55fc401b8cd2f0b0d777f5155bd3358f2 manager: conda - name: nbconvert - optional: true + name: properties + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/properties-0.6.1-py_0.tar.bz2 + version: 0.6.1 +- category: main + dependencies: + mkl: '>=2022.1.0,<2023.0a0' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + scipy: '>=0.13' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: be5580cf9f16fe52820c00c8edc39e15 + sha256: a2d0ef0294fff49ee8e927ecb56562c0ae71f2217cdf8bbe4d574dded0f989d7 + manager: conda + name: pydiso + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/pydiso-0.0.3-py310h847dae0_4.tar.bz2 + version: 0.0.3 +- category: main + dependencies: + joblib: '>=1.1.1' + libcblas: '>=3.9.0,<4.0a0' + numpy: '>=1.21.6,<2.0a0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + scipy: '' + threadpoolctl: '>=2.0.0' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: f5433a3e1971e7565a4a9bd00d1df2eb + sha256: da4c825912e4c388268611df0f3f99fae86e443bdbf17214fa2af1d9ef4bc80e + manager: conda + name: scikit-learn + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 + url: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.2.0-py310had3394f_0.conda + version: 1.2.0 - category: full dependencies: - jupyter_server: '>=1.8,<3' - python: '>=3.7' + imagecodecs: '>=2021.11.20' + numpy: '>=1.19.2' + python: '>=3.8' hash: - md5: 45b287252fd17eccb002676623ba859c - sha256: c37fb11cdb79ec121948a3bd1bda4a6ad61e4d17cc78d9b6f845eb0680823277 + md5: 1c126ff5b4643785bbc16e44e6327e41 + sha256: 85153fe85b205e01f62fcfddcc47c2c6a8cb6062d4e0e73e0a0a71f01a984f33 manager: conda - name: notebook-shim + name: tifffile optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.0-pyhd8ed1ab_0.tar.bz2 - version: 0.2.0 + url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2022.10.10-pyhd8ed1ab_0.tar.bz2 + version: 2022.10.10 +- category: main + dependencies: + asciitree: '' + fasteners: '' + numcodecs: '>=0.10.0' + numpy: '>=1.7' + python: '>=3.5' + hash: + md5: 7e212240cf03e35a6b3201010a1a1e12 + sha256: 522e72b5f4f1d49d73bdd7fc92a4e51efe86910460577646f553905969d11550 + manager: conda + name: zarr + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/zarr-2.13.3-pyhd8ed1ab_0.tar.bz2 + version: 2.13.3 +- category: main + dependencies: + future: '' + matplotlib-base: '' + numpy: '>=1.7' + properties: '' + python: '' + scipy: '>=0.13' + utm: '' + vectormath: '' + hash: + md5: 940c153c790eec5801d26ad7115d69bf + sha256: 6ef4cb86ab786166d39b6a55f2b5b9027f298d4aa7ba676d587b31cf80053ae5 + manager: conda + name: geoana + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/geoana-0.0.6-py_1.tar.bz2 + version: 0.0.6 - category: full dependencies: argon2-cffi: '' @@ -13150,14 +13252,57 @@ package: tornado: '>=6.1' traitlets: '>=4.2.1' hash: - md5: 8d16bf3ba8cba7f702691767919d6bc6 - sha256: 2edf0741bf374b55163970127697846985ae9ac0576684ab9c80224ca810f060 + md5: f4f150f83ed90a1b833e6081bbf38257 + sha256: e180247b54ef26df23ed4662a5ca6a04252b11624da22d21cd976479afea4417 manager: conda name: nbclassic optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.4.5-pyhd8ed1ab_0.tar.bz2 - version: 0.4.5 + url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.4.8-pyhd8ed1ab_0.tar.bz2 + version: 0.4.8 +- category: main + dependencies: + numpy: '' + pydiso: '' + python: '>=3.6' + scipy: '' + hash: + md5: d824e3266c690c6b8c662cf19fa62b3f + sha256: e1d39044c41541a09ba846c51c2ba315858622dfb4e7eaebcb0823316159fab8 + manager: conda + name: pymatsolver + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/pymatsolver-0.2.0-pyhd8ed1ab_0.tar.bz2 + version: 0.2.0 +- category: full + dependencies: + cloudpickle: '>=0.2.1' + cytoolz: '>=0.7.3' + dask-core: '>=1.0.0,!=2.17.0' + imageio: '>=2.3.0' + networkx: '>=2.2' + numpy: '>=1.21.6,<2.0a0' + packaging: '>=20.0' + pillow: '>=6.1.0,!=7.1.0,!=7.1.1,!=8.3.0' + python: '>=3.10,<3.11.0a0' + python_abi: 3.10.* *_cp310 + pywavelets: '>=1.1.1' + scipy: '>=1.4.1' + tifffile: '>=2019.7.26' + toolz: '>=0.7.3' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 99759a602e6fdb8d5666b5d459801706 + sha256: ef267bf8909d2198c6fb192079721abfea3042eca025cf9acda606f4e3d90e95 + manager: conda + name: scikit-image + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/scikit-image-0.19.3-py310h1c4a608_2.tar.bz2 + version: 0.19.3 - category: full dependencies: argon2-cffi: '' @@ -13166,25 +13311,26 @@ package: jinja2: '' jupyter_client: '>=5.3.4' jupyter_core: '>=4.6.1' - nbclassic: 0.4.5 - nbconvert: '>=5' + nbclassic: '>=0.4.7' + nbconvert-core: '>=5' nbformat: '' + nest-asyncio: '>=1.5' prometheus_client: '' python: '>=3.7' pyzmq: '>=17' - send2trash: '>=1.5.0' + send2trash: '>=1.8.0' terminado: '>=0.8.3' tornado: '>=6.1' traitlets: '>=4.2.1' hash: - md5: 16d5690e1f1cf716b6adf33a2a54dce5 - sha256: 7f1f249181459591083c4b99e3981a7c0933365deace3a75f72bfaca3256305a + md5: 7bf26ca095481f206e6f9dd7681085fe + sha256: 59b8f5923f5400e8d52a1bc7ad307add6953fa09f332cb745e22ef1e05b05acc manager: conda name: notebook optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.1-pyha770c72_0.tar.bz2 - version: 6.5.1 + url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.2-pyha770c72_1.tar.bz2 + version: 6.5.2 - category: full dependencies: notebook: '>=5.3' @@ -13274,12 +13420,25 @@ package: utm: '*' vectormath: '>=0.2.0' hash: - sha256: b1343e81535c83051201ae5aefef4d301effe04e5786bd19e3ce15ffb69471c7 + sha256: 35ba6d0f6ff81770caf1ea7599ba62f3b13b23c14091fec35e9d751c0aca793e manager: pip name: mira-simpeg optional: false platform: win-64 source: null - url: https://files.pythonhosted.org/packages/0f/00/ac96a8523e2327727bc14577ec06507d76fd9e258cf4689dc06334eb0e1f/Mira_SimPEG-0.15.1.dev6-py2.py3-none-any.whl - version: 0.15.1.dev6 + url: https://files.pythonhosted.org/packages/f0/6e/d27a5faf1fc1bda17a119bb3f021f8d91597f0fbd1f85630bf9e6dfd63a4/Mira_SimPEG-0.15.1.dev7-py2.py3-none-any.whl + version: 0.15.1.dev7 +- category: main + dependencies: + geoh5py: '>=0.5.0,<0.6.0' + numpy: '>=1.21.5,<2.0.0' + hash: + sha256: c73020238558b1ececd1ad6e01b76dac8272dda46f3361a034315bd40b341d9d + manager: pip + name: param-sweeps + optional: false + platform: win-64 + source: null + url: https://files.pythonhosted.org/packages/86/9a/cf12141da920feeb4b80833bd54f01d11c7b58b3f7f7c5ec19d2a45127f8/param_sweeps-0.1.3-py3-none-any.whl + version: 0.1.3 version: 1 diff --git a/conda-py-3.9-lock.yml b/conda-py-3.9-lock.yml index 9d9353a4d..a1aa4be8c 100644 --- a/conda-py-3.9-lock.yml +++ b/conda-py-3.9-lock.yml @@ -21,9 +21,9 @@ metadata: - url: defaults used_env_vars: [] content_hash: - linux-64: 8ecdd0d8c7d7d17c0e3a4ad1c0eb249ab1ddaf023e1e0ef702bac2e9095ad55c - osx-64: 8a80e23af8fa4dbfcd3a5f529e2618075ca38860292ce44bdcc0815f3b34f846 - win-64: 5ea9d9c263b785a8e81c144a01e560eb53aaf945ca8817591f16f443fe302144 + linux-64: daa1fce94ec304f011441ccd301c2475f70934db04381131a31923b2cea3797c + osx-64: 284495ae2c649446f0d8169218135f9f4f54592b15d46f3f5f18a7af461bd262 + win-64: 7df0bb660333db67935439fc7324739253b154a7c620f848fbe0f3361ba130ff platforms: - win-64 - osx-64 @@ -46,14 +46,14 @@ package: - category: main dependencies: {} hash: - md5: 41e4e87062433e283696cf384f952ef6 - sha256: 058355034667e77d15389700f6b2364cc74efce0af63a418eacc1ce252458942 + md5: ff9f73d45c4a07d6f424495288a26080 + sha256: 8f6c81b0637771ae0ea73dc03a6d30bec3326ba3927f2a7b91931aa2d59b1789 manager: conda name: ca-certificates optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2022.9.24-ha878542_0.tar.bz2 - version: 2022.9.24 + url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2022.12.7-ha878542_0.conda + version: 2022.12.7 - category: full dependencies: {} hash: @@ -101,13 +101,13 @@ package: - category: main dependencies: {} hash: - md5: c2719e2faa7bd7076d3a4b52271e5622 - sha256: a41140cb2a85048eba89dcf6cc8267e673bf40ce2108534eda1531b9f939fe82 + md5: 737be0d34c22d24432049ab7a3214de4 + sha256: 3e7f203e33ea497b6e468279cc5fdef7d556473c25e7466b35fd672940392469 manager: conda name: ld_impl_linux-64 optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.39-hc81fddc_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.39-hcc3a1bd_1.conda version: '2.39' - category: main dependencies: {} @@ -145,14 +145,25 @@ package: - category: main dependencies: {} hash: - md5: e366350e2343a798e29833286abe2560 - sha256: 419eaff0d20f418974ca27a40bc871bbe48217dba05936f147a574eb5f079005 + md5: 0dd193187d54e585cac7eab942a8847e + sha256: 89e8c4436dd04d8b4a0c13c508e930be56973a480a9714171969de953bdafd3a + manager: conda + name: python_abi + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.9-3_cp39.conda + version: '3.9' +- category: main + dependencies: {} + hash: + md5: 51fc4fcfb19f5d95ffc8c339db5068e8 + sha256: 0bfae0b9962bc0dbf79048f9175b913ed4f53c4310d06708dc7acbb290ad82f6 manager: conda name: tzdata optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2022f-h191b570_0.tar.bz2 - version: 2022f + url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2022g-h191b570_0.conda + version: 2022g - category: full dependencies: font-ttf-dejavu-sans-mono: '' @@ -192,6 +203,18 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2 version: '1' +- category: full + dependencies: + python: 3.9.* + hash: + md5: 0b7821445f86bbfc5b75ef9d812453c6 + sha256: 7c6f0748101ae31360b3a84727aceb246afd9fbb0eca17b1ebfe13ae58e62bf8 + manager: conda + name: _ipython_minor_entry_point + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/_ipython_minor_entry_point-8.7.0-h8cf3c4a_0.conda + version: 8.7.0 - category: main dependencies: _libgcc_mutex: 0.1 conda_forge @@ -310,14 +333,14 @@ package: libgcc-ng: '>=12' libstdcxx-ng: '>=12' hash: - md5: a583d0bc9a85c48e8b07a588d1ac8a80 - sha256: eaee8645a203291cf12ddf15d274e535c1a5292d9bce4f76f888d171f1523754 + md5: 917b9a50001fffdd89b321b5dba31e55 + sha256: 836f3362ba45d104efecbdb3991c1e01b8152978b194d84202c25c8f2c5fce6f manager: conda name: geos optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/geos-3.11.0-h27087fc_0.tar.bz2 - version: 3.11.0 + url: https://conda.anaconda.org/conda-forge/linux-64/geos-3.11.1-h27087fc_0.tar.bz2 + version: 3.11.1 - category: full dependencies: libgcc-ng: '>=12' @@ -342,7 +365,7 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/giflib-5.2.1-h36c2ea0_2.tar.bz2 version: 5.2.1 -- category: full +- category: main dependencies: libgcc-ng: '>=10.3.0' libstdcxx-ng: '>=10.3.0' @@ -351,7 +374,7 @@ package: sha256: 1d7950f3be4637ab915d886304e57731d39a41ab705ffc95c4681655c459374a manager: conda name: icu - optional: true + optional: false platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/icu-70.1-h27087fc_0.tar.bz2 version: '70.1' @@ -477,7 +500,7 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2 version: 3.4.2 -- category: full +- category: main dependencies: libgcc-ng: '>=10.3.0' hash: @@ -485,7 +508,7 @@ package: sha256: 6a81ebac9f1aacdf2b4f945c87ad62b972f0f69c8e0981d68e111739e6720fd7 manager: conda name: libiconv - optional: true + optional: false platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-h166bdaf_0.tar.bz2 version: '1.17' @@ -589,43 +612,30 @@ package: version: '6.3' - category: full dependencies: - libgcc-ng: '>=9.4.0' - libstdcxx-ng: '>=9.4.0' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' hash: - md5: 29ded371806431b0499aaee146abfc3e - sha256: 987835de2261507bcea0dcb61ed0668e4622fc55ad9d84ec1fc3d72ab2bd94e9 + md5: da0ec11a6454ae19bff5b02ed881a2b1 + sha256: 8fadeebb2b7369a4f3b2c039a980d419f65c7b18267ba0c62588f9f894396d0c manager: conda name: nspr optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/nspr-4.32-h9c3ff4c_1.tar.bz2 - version: '4.32' + url: https://conda.anaconda.org/conda-forge/linux-64/nspr-4.35-h27087fc_0.conda + version: '4.35' - category: main dependencies: ca-certificates: '' libgcc-ng: '>=12' hash: - md5: d1ad1824c71e67dea42f07e06cd177dc - sha256: 67fc8e91186ada002682bdd125e1ceece884ba309c68e9c5c981e8412196d226 + md5: 7adaac6ff98219bcb99b45e408b80f4e + sha256: d9143f6d10e7edaa8cbb03e510d60c54463f4538c01f30b0abff51def582d94e manager: conda name: openssl optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.0.7-h166bdaf_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.0.7-h0b41bf4_1.conda version: 3.0.7 -- category: full - dependencies: - libgcc-ng: '>=9.3.0' - libstdcxx-ng: '>=9.3.0' - hash: - md5: c05d1820a6d34ff07aaaab7a9b7eddaa - sha256: 8f35c244b1631a4f31fb1d66ab6e1d9bfac0ca9b679deced1112c7225b3ad138 - manager: conda - name: pcre - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pcre-8.45-h9c3ff4c_0.tar.bz2 - version: '8.45' - category: full dependencies: libgcc-ng: '>=7.5.0' @@ -652,42 +662,43 @@ package: version: '0.4' - category: full dependencies: - libgcc-ng: '>=10.3.0' - libstdcxx-ng: '>=10.3.0' + libgcc-ng: '>=9.4.0' + libstdcxx-ng: '>=9.4.0' hash: - md5: 418adb239781d9690afc6b1a05514c37 - sha256: 7e324caf1922a94e4c3432854624d25ef1fa361866981584725863c840fde5d2 + md5: 5acb8407fefa1c1929c11c167237e776 + sha256: e1d6e4e74486ce4844c4bbdc7198bb4d8191b70881f6415d1f4b5fd8d98f18d7 manager: conda - name: snappy + name: qhull optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/snappy-1.1.9-hbd366e4_1.tar.bz2 - version: 1.1.9 -- category: main + url: https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h4bd325d_2.tar.bz2 + version: '2020.2' +- category: full dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' hash: - md5: 9f37c25c6fd4edb1d090eac27fed7d49 - sha256: 461eb15626d60aa665013ef5875da041c6e9ffb78cdf3f839377435dabd6cd1d + md5: 48018e187dacc6002d3ede9c824238ac + sha256: a223b21f16f37af90f0b19593baed5c118ee819c5ae7e8fa59b47ece491c268a manager: conda - name: tbb - optional: false + name: snappy + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/tbb-2021.6.0-h924138e_1.tar.bz2 - version: 2021.6.0 + url: https://conda.anaconda.org/conda-forge/linux-64/snappy-1.1.9-hbd366e4_2.tar.bz2 + version: 1.1.9 - category: full dependencies: + __glibc: '>=2.17,<3.0.a0' libgcc-ng: '>=12' hash: - md5: d83ab8f6570bbf0be104948fb2d0f79e - sha256: fb15e3a3228edcfde002f527ee2e9e0b5e1f15091521de1aa8429a4357138af8 + md5: 229620ecbc0bf2f9f04b888fd3478f79 + sha256: 69a2de90e0164155c8ac3251e610060a7227d33c52ebdb982e64fca354a87036 manager: conda name: tzcode optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/tzcode-2022e-h166bdaf_0.tar.bz2 - version: 2022e + url: https://conda.anaconda.org/conda-forge/linux-64/tzcode-2022g-h166bdaf_0.conda + version: 2022g - category: full dependencies: libgcc-ng: '>=9.3.0' @@ -909,43 +920,43 @@ package: - category: main dependencies: libgcc-ng: '>=12' - libzlib: '>=1.2.12,<1.3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: 575078de1d3a3114b3ce131bd1508d0c - sha256: 422a544fbfc8d8bf43de4b2dc5c7c991294ad0e37b37439d8dbf740f07a75437 + md5: e1c890aebdebbfbf87e2c917187b4416 + sha256: a32b36d34e4f2490b99bddbc77d01a674d304f667f0e62c89e02c961addef462 manager: conda name: libpng optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.38-h753d276_0.tar.bz2 - version: 1.6.38 + url: https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.39-h753d276_0.conda + version: 1.6.39 - category: full dependencies: - geos: '>=3.11.0,<3.11.1.0a0' + geos: '>=3.11.1,<3.11.2.0a0' libgcc-ng: '>=12' libstdcxx-ng: '>=12' hash: - md5: 13b2138ccfbd9821fe13ee0cb7471c03 - sha256: 0bd78394199ef26d33cd8af69bb92215a288b1487236420f521dc6e2bc7250d5 + md5: d2047c6de84b07a1db9cbe1683939956 + sha256: 0d6a97cdb1c573bbc3464c47eb0d57da1cd6434689b9dc253d03fca6710d0c22 manager: conda name: librttopo optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/librttopo-1.1.0-hf730bdb_11.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/librttopo-1.1.0-ha49c73b_12.tar.bz2 version: 1.1.0 - category: main dependencies: libgcc-ng: '>=12' - libzlib: '>=1.2.12,<1.3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: 978924c298fc2215f129e8171bbea688 - sha256: 919396aa0e5d0df8d8082db554d850639aa363aff13f4feabf2ee642f823b6d4 + md5: 2e5f9a37d487e1019fd4d8113adb2f9f + sha256: 6008a0b914bd1a3510a3dba38eada93aa0349ebca3a21e5fa276833c8205bf49 manager: conda name: libsqlite optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.39.4-h753d276_0.tar.bz2 - version: 3.39.4 + url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.40.0-h753d276_0.tar.bz2 + version: 3.40.0 - category: main dependencies: libgcc-ng: '>=12' @@ -975,7 +986,7 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.13-h7f98852_1004.tar.bz2 version: '1.13' -- category: full +- category: main dependencies: icu: '>=70.1,<71.0a0' libgcc-ng: '>=12' @@ -987,7 +998,7 @@ package: sha256: b30713fb4477ff4f722280d956593e7e7a2cb705b7444dcc278de447432b43b1 manager: conda name: libxml2 - optional: true + optional: false platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.10.3-h7463322_0.tar.bz2 version: 2.10.3 @@ -1008,16 +1019,16 @@ package: version: 1.9.2 - category: main dependencies: - libzlib: '>=1.2.11,<1.3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: cecc6e3cb66570ffcfb820c637890f54 - sha256: f260a8f90318622e4ba79409e252266758642dc045588745c1875ef2f171ea92 + md5: 6b80b7135d057de371c7284c8471b044 + sha256: 81bac368092b5788efa66cccdfaca824dc55f3f965c16f9e5f715450394cfd72 manager: conda name: llvm-openmp optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/llvm-openmp-14.0.4-he0ac6c6_0.tar.bz2 - version: 14.0.4 + url: https://conda.anaconda.org/conda-forge/linux-64/llvm-openmp-15.0.6-he0ac6c6_0.conda + version: 15.0.6 - category: full dependencies: libzlib: '>=1.2.13,<1.3.0a0' @@ -1036,14 +1047,14 @@ package: libgcc-ng: '>=12' libzlib: '>=1.2.12,<1.3.0a0' hash: - md5: dfd26f27a9d5de96cec1d007b9aeb964 - sha256: ed3fa628b94a82ff039bdc9591c241dfc2c555f0efdfb07a0b53be4b2d9dfe6c + md5: 69e2c796349cd9b273890bee0febfe1b + sha256: 7a29ec847556eed4faa1646010baae371ced69059a4ade43851367a076d6108a manager: conda name: pcre2 optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.37-hc3806b6_1.tar.bz2 - version: '10.37' + url: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.40-hc3806b6_0.tar.bz2 + version: '10.40' - category: main dependencies: libgcc-ng: '>=12' @@ -1127,21 +1138,21 @@ package: version: 1.5.2 - category: full dependencies: - libgcc-ng: '>=10.3.0' - libstdcxx-ng: '>=10.3.0' - libzlib: '>=1.2.11,<1.3.0a0' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + libzlib: '>=1.2.13,<1.3.0a0' lz4-c: '>=1.9.3,<1.10.0a0' snappy: '>=1.1.9,<2.0a0' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 37baca23e60af4130cfc03e8ab9f8e22 - sha256: 3635408361a0d168c289d0e32927b1e1c1e4e563439b4ce7153e787201c6a4e0 + md5: 9fc20ab886b80d1029b828ef7ee79a35 + sha256: 4c3a0242aa1771839bd0e8fa2916fcf8be713d383da71106e662b3e2d99d0b46 manager: conda name: blosc optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.1-h83bc5f7_3.tar.bz2 - version: 1.21.1 + url: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.2-hafa529b_0.conda + version: 1.21.2 - category: full dependencies: bzip2: '>=1.0.8,<2.0a0' @@ -1182,27 +1193,27 @@ package: zlib-ng: '>=2.0.6,<2.1.0a0' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 675c0a3103fd69380bda86cfddb0f3f4 - sha256: 6cbd7ff95232a0efa4c065c2996f04b621ce8a99e07673bcb24b886a4aa1b461 + md5: fee8650462dfee92f4ed50778793ebe8 + sha256: 4ad87e9640ab3508ea2553e9ef0a3adc44210101369afaa5608091575e4cf75e manager: conda name: c-blosc2 optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/c-blosc2-2.4.3-h7a311fb_0.tar.bz2 - version: 2.4.3 + url: https://conda.anaconda.org/conda-forge/linux-64/c-blosc2-2.6.0-hf91038e_0.conda + version: 2.6.0 - category: main dependencies: libgcc-ng: '>=12' - libpng: '>=1.6.37,<1.7.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + libpng: '>=1.6.39,<1.7.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: 4e54cbfc47b8c74c2ecc1e7730d8edce - sha256: 97325af03590d9f9cc7fcb35ad869fa409c51820b0c721bfc9fe7a6d058d0bb0 + md5: e1232042de76d24539a436d37597eb06 + sha256: 1eb913727b54e9aa63c6d9a1177db4e2894cee97c5f26910a2b61899d5ac904f manager: conda name: freetype optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-hca18f0e_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-hca18f0e_1.conda version: 2.12.1 - category: full dependencies: @@ -1244,16 +1255,30 @@ package: libiconv: '>=1.17,<2.0a0' libstdcxx-ng: '>=12' libzlib: '>=1.2.13,<1.3.0a0' - pcre2: '>=10.37,<10.38.0a0' + pcre2: '>=10.40,<10.41.0a0' hash: - md5: 5635a2490d52955dc3192d901434c26d - sha256: 63438f7d450b167beaad8d742259cf95bed9d9fa1510afcb0cb8fc4866081b6b + md5: ed5349aa96776e00b34eccecf4a948fe + sha256: 3cbad3d63cff2dd9ac1dc9cce54fd3d657f3aff53df41bfe5bae9d760562a5af manager: conda name: libglib optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.74.1-h7a41b64_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.74.1-h606061b_1.tar.bz2 version: 2.74.1 +- category: main + dependencies: + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + libxml2: '>=2.9.14,<2.11.0a0' + hash: + md5: 0c52bb2b3b621d684f3beabd4aacaca7 + sha256: 2b52bbb87f875a44ebc599c534f73e027e59f69097a1a8769bcefa8e5bf6c060 + manager: conda + name: libhwloc + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.8.0-h32351e8_1.tar.bz2 + version: 2.8.0 - category: main dependencies: jpeg: '>=9e,<10a' @@ -1274,36 +1299,63 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.4.0-h55922b4_4.tar.bz2 version: 4.4.0 +- category: full + dependencies: + libgcc-ng: '>=12' + libsqlite: '>=3.40.0,<4.0a0' + libstdcxx-ng: '>=12' + libzlib: '>=1.2.13,<1.3.0a0' + nspr: '>=4.35,<5.0a0' + hash: + md5: f8d7f11d19e4cb2207eab159fd4c0152 + sha256: dd848f91478b155d3b3af6e64f494d17573fce7f7ebc154d48332f259b112f72 + manager: conda + name: nss + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/nss-3.82-he02c5a1_0.conda + version: '3.82' - category: main dependencies: - _openmp_mutex: '>=4.5' - llvm-openmp: '>=14.0.3' - tbb: 2021.* + bzip2: '>=1.0.8,<2.0a0' + ld_impl_linux-64: '>=2.36.1' + libffi: '>=3.4,<4.0a0' + libgcc-ng: '>=12' + libnsl: '>=2.0.0,<2.1.0a0' + libsqlite: '>=3.40.0,<4.0a0' + libuuid: '>=2.32.1,<3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + ncurses: '>=6.3,<7.0a0' + openssl: '>=3.0.7,<4.0a0' + readline: '>=8.1.2,<9.0a0' + tk: '>=8.6.12,<8.7.0a0' + tzdata: '' + xz: '>=5.2.6,<6.0a0' hash: - md5: b9c8f925797a93dbff45e1626b025a6b - sha256: 767318c4f2057822a7ebc238d6065ce12c6ae60df4ab892758adb79b1057ce02 + md5: 7b9485fce17fac2dd4aca6117a9936c2 + sha256: 159a1ba8789317fa0b6649b88c5f302a7022be86e69d2edf652065177c88c209 manager: conda - name: mkl + name: python optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/mkl-2022.1.0-h84fe81f_915.tar.bz2 - version: 2022.1.0 -- category: main + url: https://conda.anaconda.org/conda-forge/linux-64/python-3.9.15-hba424b6_0_cpython.conda + version: 3.9.15 +- category: full dependencies: libgcc-ng: '>=12' - libsqlite: 3.39.4 h753d276_0 - libzlib: '>=1.2.12,<1.3.0a0' + libsqlite: 3.40.0 h753d276_0 + libzlib: '>=1.2.13,<1.3.0a0' ncurses: '>=6.3,<7.0a0' readline: '>=8.1.2,<9.0a0' hash: - md5: 643c271de2dd23ecbd107284426cebc2 - sha256: b0a812bcdc8c622852e4769f66d1db8a2e437a867acf64067ce31f9a0181acc8 + md5: bb11803129cbbb53ed56f9506ff74145 + sha256: baf0e77938e5215653aa6609ff154cb94aeb0a08083ff8dec2d3ba8dd62263e9 manager: conda name: sqlite - optional: false + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.39.4-h4ff8645_0.tar.bz2 - version: 3.39.4 + url: https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.40.0-h4ff8645_0.tar.bz2 + version: 3.40.0 - category: full dependencies: libgcc-ng: '>=9.3.0' @@ -1321,338 +1373,118 @@ package: version: 1.7.2 - category: main dependencies: - brotli-bin: 1.0.9 h166bdaf_8 - libbrotlidec: 1.0.9 h166bdaf_8 - libbrotlienc: 1.0.9 h166bdaf_8 - libgcc-ng: '>=12' + python: '' hash: - md5: 2ff08978892a3e8b954397c461f18418 - sha256: 74c0fa22ea7c62d2c8f7a7aea03a3bd4919f7f3940ef5b027ce0dfb5feb38c06 + md5: c0481c9de49f040272556e2cedf42816 + sha256: b3e9369529fe7d721b66f18680ff4b561e20dbf6507e209e1f60eac277c97560 manager: conda - name: brotli + name: asciitree optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.0.9-h166bdaf_8.tar.bz2 - version: 1.0.9 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/asciitree-0.3.3-py_2.tar.bz2 + version: 0.3.3 +- category: dev dependencies: - expat: '>=2.4.9,<3.0a0' - freetype: '>=2.12.1,<3.0a0' - libgcc-ng: '>=12' - libuuid: '>=2.32.1,<3.0a0' - libzlib: '>=1.2.13,<1.3.0a0' + python: '>=3.5' hash: - md5: 78415f0180a8d9c5bcc47889e00d5fb1 - sha256: 4594348401ccdb622b41692698f3701423e9a4e726b6b6efa818c3a1611b01f9 + md5: 6d3ccbc56256204925bfa8378722792f + sha256: 86133878250874b3823bae7369bcad90187132537726cb1b546d88a0552d24de manager: conda - name: fontconfig + name: attrs optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.14.1-hc2a2eb6_0.tar.bz2 - version: 2.14.1 -- category: main + url: https://conda.anaconda.org/conda-forge/noarch/attrs-22.1.0-pyh71513ae_1.tar.bz2 + version: 22.1.0 +- category: full dependencies: - jpeg: '>=9e,<10a' - libgcc-ng: '>=12' - libtiff: '>=4.4.0,<5.0a0' + python: '' hash: - md5: dcc588839de1445d90995a0a2c4f3a39 - sha256: cbadb4150850941bf0518ba948effbbdd89b2c28dfdfed54eae196037e015b43 + md5: 6006a6d08a3fa99268a2681c7fb55213 + sha256: ee62d6434090c1327a48551734e06bd10e65a64ef7f3b6e68719500dab0e42b9 manager: conda - name: lcms2 - optional: false + name: backcall + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.14-h6ed2654_0.tar.bz2 - version: '2.14' -- category: main + url: https://conda.anaconda.org/conda-forge/noarch/backcall-0.2.0-pyh9f0ad1d_0.tar.bz2 + version: 0.2.0 +- category: full dependencies: - mkl: '>=2022.1.0,<2023.0a0' + python: '>=2.7' hash: - md5: 85f61af03fd291dae33150ffe89dc09a - sha256: 24e656f13b402b6fceb88df386768445ab9beb657d451a8e5a88d4b3380cf7a4 + md5: 54ca2e08b3220c148a1d8329c2678e02 + sha256: 711602276ae39276cb0faaca6fd0ac851fff0ca17151917569174841ef830bbd manager: conda - name: libblas - optional: false + name: backports + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-16_linux64_mkl.tar.bz2 - version: 3.9.0 + url: https://conda.anaconda.org/conda-forge/noarch/backports-1.0-pyhd8ed1ab_3.conda + version: '1.0' - category: main dependencies: - krb5: '>=1.19.3,<1.20.0a0' + brotli-bin: 1.0.9 h166bdaf_8 + libbrotlidec: 1.0.9 h166bdaf_8 + libbrotlienc: 1.0.9 h166bdaf_8 libgcc-ng: '>=12' - libnghttp2: '>=1.47.0,<2.0a0' - libssh2: '>=1.10.0,<2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' hash: - md5: 534f77fccccaa2266af6f2a3d35af2ce - sha256: a1ac376145cf0256c11a337a0b36db0ad28f9e1010c11b978fac44c38eb030e2 + md5: 2ff08978892a3e8b954397c461f18418 + sha256: 74c0fa22ea7c62d2c8f7a7aea03a3bd4919f7f3940ef5b027ce0dfb5feb38c06 manager: conda - name: libcurl + name: brotli optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libcurl-7.86.0-h2283fc2_0.tar.bz2 - version: 7.86.0 + url: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.0.9-h166bdaf_8.tar.bz2 + version: 1.0.9 - category: full dependencies: - boost-cpp: '>=1.78.0,<1.78.1.0a0' - expat: '>=2.4.8,<3.0a0' libgcc-ng: '>=12' libstdcxx-ng: '>=12' - libzlib: '>=1.2.12,<1.3.0a0' - zlib: '>=1.2.12,<1.3.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 hash: - md5: 37d3747dd24d604f63d2610910576e63 - sha256: c435a9674717eac87e283ffdfe841635ecc025403c824f8ab5fa04e591e5b820 + md5: 93ddd9ef07e3d17125801ee3ec9c5027 + sha256: 1f3a95cd30306fe5c2beedc5f612a4168bed08f6fa2155212752780dadff81ce manager: conda - name: libkml + name: brotli-python optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libkml-1.3.0-h37653c0_1015.tar.bz2 - version: 1.3.0 -- category: full + url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.0.9-py39h5a03fae_8.tar.bz2 + version: 1.0.9 +- category: main dependencies: - krb5: '>=1.19.3,<1.20.0a0' - libgcc-ng: '>=12' - libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' - readline: '>=8.1.2,<9.0a0' + python: '>=3.6' hash: - md5: c194811a2d160ef3210218ee508b6075 - sha256: 8bd0bb731081cb5132928279f70b592733202f579eda503b38da15b6bdf5e61d + md5: 576d629e47797577ab0f1b351297ef4a + sha256: 6dbf7a5070cc43d90a1e4c2ec0c541c69d8e30a0e25f50ce9f6e4a432e42c5d7 manager: conda - name: libpq - optional: true + name: cached_property + optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libpq-14.5-he2d8382_1.tar.bz2 - version: '14.5' -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2 + version: 1.5.2 +- category: main dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - libzlib: '>=1.2.11,<1.3.0a0' - nspr: '>=4.32,<5.0a0' - sqlite: '>=3.38.5,<4.0a0' + python: '>=3.7' hash: - md5: ab3df39f96742e6f1a9878b09274c1dc - sha256: 6dc675619b9a156641eeb898acf810f620bca5f1af1ced5508a6c7b7ff3e7306 + md5: fb9addc3db06e56abe03e0e9f21a63e6 + sha256: 5e22af4776700200fab2c1df41a2188ab9cfe90a50c4f388592bb978562c88ec manager: conda - name: nss - optional: true + name: certifi + optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/nss-3.78-h2350873_0.tar.bz2 - version: '3.78' -- category: main + url: https://conda.anaconda.org/conda-forge/noarch/certifi-2022.12.7-pyhd8ed1ab_0.conda + version: 2022.12.7 +- category: dev dependencies: - libgcc-ng: '>=12' - libpng: '>=1.6.37,<1.7.0a0' - libstdcxx-ng: '>=12' - libtiff: '>=4.4.0,<5.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + python: '>=3.6' hash: - md5: a11b4df9271a8d7917686725aa04c8f2 - sha256: a715cba5649f12a1dca53dfd72fc49577152041f033d7595cf4b6a655a5b93b6 + md5: c1d5b294fbf9a795dec349a6f4d8be8e + sha256: 9e6170fa7b65b5546377eddb602d5ff871110f84bebf101b7b8177ff64aab1cb manager: conda - name: openjpeg - optional: false + name: charset-normalizer + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.0-h7d73246_1.tar.bz2 - version: 2.5.0 -- category: main - dependencies: - bzip2: '>=1.0.8,<2.0a0' - ld_impl_linux-64: '>=2.36.1' - libffi: '>=3.4.2,<3.5.0a0' - libgcc-ng: '>=12' - libnsl: '>=2.0.0,<2.1.0a0' - libuuid: '>=2.32.1,<3.0a0' - libzlib: '>=1.2.11,<1.3.0a0' - ncurses: '>=6.3,<7.0a0' - openssl: '>=3.0.3,<4.0a0' - readline: '>=8.1,<9.0a0' - sqlite: '>=3.38.5,<4.0a0' - tk: '>=8.6.12,<8.7.0a0' - tzdata: '' - xz: '>=5.2.5,<5.3.0a0' - hash: - md5: 894f6c234741ffc61505de11b7a588ba - sha256: 915c68c398d85132a7f80bc65432d435d7445bbb96fbd2e56c3a3a70aa4fd76a - manager: conda - name: python - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/python-3.9.13-h2660328_0_cpython.tar.bz2 - version: 3.9.13 -- category: full - dependencies: - libgcc-ng: '>=9.3.0' - xorg-libx11: '>=1.7.0,<2.0a0' - xorg-xextproto: '' - hash: - md5: 536cc5db4d0a3ba0630541aec064b5e4 - sha256: cf47ccbf49d46189d7bdadeac1387c826be82deb92ce6badbb03baae4b67ed26 - manager: conda - name: xorg-libxext - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.4-h7f98852_1.tar.bz2 - version: 1.3.4 -- category: full - dependencies: - libgcc-ng: '>=9.3.0' - xorg-libx11: '>=1.7.0,<2.0a0' - xorg-renderproto: '' - hash: - md5: f59c1242cc1dd93e72c2ee2b360979eb - sha256: 7d907ed9e2ec5af5d7498fb3ab744accc298914ae31497ab6dcc6ef8bd134d00 - manager: conda - name: xorg-libxrender - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.10-h7f98852_1003.tar.bz2 - version: 0.9.10 -- category: main - dependencies: - python: '' - hash: - md5: c0481c9de49f040272556e2cedf42816 - sha256: b3e9369529fe7d721b66f18680ff4b561e20dbf6507e209e1f60eac277c97560 - manager: conda - name: asciitree - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/asciitree-0.3.3-py_2.tar.bz2 - version: 0.3.3 -- category: dev - dependencies: - python: '>=3.5' - hash: - md5: 6d3ccbc56256204925bfa8378722792f - sha256: 86133878250874b3823bae7369bcad90187132537726cb1b546d88a0552d24de - manager: conda - name: attrs - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/attrs-22.1.0-pyh71513ae_1.tar.bz2 - version: 22.1.0 -- category: full - dependencies: - python: '' - hash: - md5: 6006a6d08a3fa99268a2681c7fb55213 - sha256: ee62d6434090c1327a48551734e06bd10e65a64ef7f3b6e68719500dab0e42b9 - manager: conda - name: backcall - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/backcall-0.2.0-pyh9f0ad1d_0.tar.bz2 - version: 0.2.0 -- category: full - dependencies: - python: '' - hash: - md5: 0da16b293affa6ac31812376f8eb79dd - sha256: a584e690dbb042779af83abaa87a54764278c0a53bf5256ff8f5b0f0061ac283 - manager: conda - name: backports - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/backports-1.0-py_2.tar.bz2 - version: '1.0' -- category: full - dependencies: - brotli: '>=1.0.9,<2.0a0' - libgcc-ng: '>=9.3.0' - libstdcxx-ng: '>=9.3.0' - hash: - md5: c1ac6229d0bfd14f8354ff9ad2a26cad - sha256: 36da32e5a6beab7a9af39be1c8f42e5eca716e64562cb9d5e0d559c14406b11d - manager: conda - name: brunsli - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/brunsli-0.1-h9c3ff4c_0.tar.bz2 - version: '0.1' -- category: main - dependencies: - python: '>=3.6' - hash: - md5: 576d629e47797577ab0f1b351297ef4a - sha256: 6dbf7a5070cc43d90a1e4c2ec0c541c69d8e30a0e25f50ce9f6e4a432e42c5d7 - manager: conda - name: cached_property - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2 - version: 1.5.2 -- category: full - dependencies: - fontconfig: '>=2.13.96,<3.0a0' - fonts-conda-ecosystem: '' - freetype: '>=2.12.1,<3.0a0' - icu: '>=70.1,<71.0a0' - libgcc-ng: '>=12' - libglib: '>=2.72.1,<3.0a0' - libpng: '>=1.6.38,<1.7.0a0' - libxcb: '>=1.13,<1.14.0a0' - libzlib: '>=1.2.12,<1.3.0a0' - pixman: '>=0.40.0,<1.0a0' - xorg-libice: '' - xorg-libsm: '' - xorg-libx11: '' - xorg-libxext: '' - xorg-libxrender: '' - zlib: '>=1.2.12,<1.3.0a0' - hash: - md5: d1a88f3ed5b52e1024b80d4bcd26a7a0 - sha256: f062cf56e6e50d3ad4b425ebb3765ca9138c6ebc52e6a42d1377de8bc8d954f6 - manager: conda - name: cairo - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.16.0-ha61ee94_1014.tar.bz2 - version: 1.16.0 -- category: main - dependencies: - python: '>=3.7' - hash: - md5: f66309b099374af91369e67e84af397d - sha256: 52e7459b3c457e888e2b6a4e6d13ab7f8675999bc12d20a83e34f12591a8771a - manager: conda - name: certifi - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/certifi-2022.9.24-pyhd8ed1ab_0.tar.bz2 - version: 2022.9.24 -- category: full - dependencies: - bzip2: '>=1.0.8,<2.0a0' - libcurl: '>=7.82.0,<8.0a0' - libgcc-ng: '>=10.3.0' - libgfortran-ng: '' - libgfortran5: '>=10.3.0' - libzlib: '>=1.2.11,<1.3.0a0' - hash: - md5: ebc04a148d7204bb428f8633b89fd3dd - sha256: ab51263a83b7138ed8f132d78381189cc4f9f79c95230634f39311759dbbaf4c - manager: conda - name: cfitsio - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/cfitsio-4.1.0-hd9d235c_0.tar.bz2 - version: 4.1.0 -- category: dev - dependencies: - python: '>=3.6' - hash: - md5: c1d5b294fbf9a795dec349a6f4d8be8e - sha256: 9e6170fa7b65b5546377eddb602d5ff871110f84bebf101b7b8177ff64aab1cb - manager: conda - name: charset-normalizer - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-2.1.1-pyhd8ed1ab_0.tar.bz2 - version: 2.1.1 + url: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-2.1.1-pyhd8ed1ab_0.tar.bz2 + version: 2.1.1 - category: main dependencies: __unix: '' @@ -1690,23 +1522,6 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2 version: 0.4.6 -- category: full - dependencies: - krb5: '>=1.19.3,<1.20.0a0' - libcurl: 7.86.0 h2283fc2_0 - libgcc-ng: '>=12' - libssh2: '>=1.10.0,<2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' - hash: - md5: 3911f6771bd388a6fdc450315cc3042a - sha256: 0016a6f10858bbb7c831cac90ae087ce7656967e81ee1030f3b3d485f4bd20f4 - manager: conda - name: curl - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/curl-7.86.0-h2283fc2_0.tar.bz2 - version: 7.86.0 - category: main dependencies: python: '>=3.6' @@ -1719,6 +1534,21 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.11.0-pyhd8ed1ab_0.tar.bz2 version: 0.11.0 +- category: full + dependencies: + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: ae678ca0a298fddfcec744f8d013b21e + sha256: b45a1a0ace5cd40413baabc507c9071bce2a68b3cca301022ec7e90d0b0c6be8 + manager: conda + name: debugpy + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.6.4-py39h5a03fae_0.conda + version: 1.6.4 - category: full dependencies: python: '>=3.5' @@ -1771,14 +1601,14 @@ package: dependencies: python: '>=3.7' hash: - md5: da409b864dc21631820c81973df42587 - sha256: 201c07a4e0489f864ce25b5f1b132f672bee7647c21f65f9a273d710c4163ebd + md5: e0734d1f12de77f9daca98bda3428733 + sha256: abd2795af746b666b93ee42baf4de3ebaad82435b8291b6485325ecbc9d49f56 manager: conda name: exceptiongroup optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.0.0-pyhd8ed1ab_0.tar.bz2 - version: 1.0.0 + url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.0.4-pyhd8ed1ab_0.tar.bz2 + version: 1.0.4 - category: full dependencies: python: '>=2.7' @@ -1807,26 +1637,42 @@ package: dependencies: python: '>=3.6' hash: - md5: f93822cba5c20161560661988a88f2c0 - sha256: f56157ce4b55ef46a4fa4fe875703468e362b983099f864b740fd99aa80bbdbb + md5: 6d5e56de2e65da7aa35fd10131226efa + sha256: 251e79241eadab363eeaaf20f118423571e1a90ef351ae78e1c4574c53c8526c manager: conda name: flit-core optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/flit-core-3.7.1-pyhd8ed1ab_0.tar.bz2 - version: 3.7.1 + url: https://conda.anaconda.org/conda-forge/noarch/flit-core-3.8.0-pyhd8ed1ab_0.tar.bz2 + version: 3.8.0 +- category: full + dependencies: + expat: '>=2.4.9,<3.0a0' + freetype: '>=2.12.1,<3.0a0' + libgcc-ng: '>=12' + libuuid: '>=2.32.1,<3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + hash: + md5: 78415f0180a8d9c5bcc47889e00d5fb1 + sha256: 4594348401ccdb622b41692698f3701423e9a4e726b6b6efa818c3a1611b01f9 + manager: conda + name: fontconfig + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.14.1-hc2a2eb6_0.tar.bz2 + version: 2.14.1 - category: main dependencies: python: '>=3.6' hash: - md5: ee4d78b97e857cb8d845c8fa4c898433 - sha256: 30ab06e5a472d7e1faed5b2189010345ab26be3e98460f5a5362c2651814014a + md5: eb919f2119a6db5d0192f9e9c3711572 + sha256: 1ba0e6a0c6f023753b6766fda092b333485a7c640f1069a64d003570c652bddb manager: conda name: fsspec optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2022.10.0-pyhd8ed1ab_0.tar.bz2 - version: 2022.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2022.11.0-pyhd8ed1ab_0.tar.bz2 + version: 2022.11.0 - category: main dependencies: python: '>=3.8' @@ -1839,24 +1685,6 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/future-0.18.2-pyhd8ed1ab_6.tar.bz2 version: 0.18.2 -- category: main - dependencies: - libcurl: '>=7.83.1,<8.0a0' - libgcc-ng: '>=12' - libgfortran-ng: '' - libgfortran5: '>=10.3.0' - libstdcxx-ng: '>=12' - libzlib: '>=1.2.12,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' - hash: - md5: 91f6a330e4aeba166e5d7f0ee0af3d37 - sha256: db7e8ef5c2012e80ad23f8a47f4be2f375b8ab59c6aab858e958a37218e86790 - manager: conda - name: hdf5 - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.12.2-nompi_h4df4325_100.tar.bz2 - version: 1.12.2 - category: main dependencies: python: '' @@ -1931,28 +1759,113 @@ package: version: 1.1.1 - category: main dependencies: - libblas: 3.9.0 16_linux64_mkl + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 hash: - md5: 361bf757b95488de76c4f123805742d3 - sha256: 892ba10508f22310ccfe748df1fd3b6c7f20e7b6f6b79e69ed337863551c1bd8 + md5: 41679a052a8ce841c74df1ebc802e411 + sha256: eb28254cc7029e702d0059536d986b010221de62f9c8588a5a83e95a00b4e74d manager: conda - name: libcblas + name: kiwisolver optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-16_linux64_mkl.tar.bz2 - version: 3.9.0 -- category: main + url: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.4-py39hf939315_1.tar.bz2 + version: 1.4.4 +- category: dev dependencies: - libblas: 3.9.0 16_linux64_mkl - hash: - md5: a2f166748917d6d6e4707841ca1f519e - sha256: d6201f860b2d76ed59027e69c2bbad6d1cb211a215ec9705cc487cde488fa1fa + libgcc-ng: '>=12' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: b38a4ea2a1dd586c0bb078bc325b5a18 + sha256: 190069213e075a353683d783c90980f87621f806dc2cf109d47f534189ba91fb manager: conda - name: liblapack + name: lazy-object-proxy + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/lazy-object-proxy-1.8.0-py39hb9d737c_0.tar.bz2 + version: 1.8.0 +- category: main + dependencies: + jpeg: '>=9e,<10a' + libgcc-ng: '>=12' + libtiff: '>=4.4.0,<5.0a0' + hash: + md5: dcc588839de1445d90995a0a2c4f3a39 + sha256: cbadb4150850941bf0518ba948effbbdd89b2c28dfdfed54eae196037e015b43 + manager: conda + name: lcms2 optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-16_linux64_mkl.tar.bz2 - version: 3.9.0 + url: https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.14-h6ed2654_0.tar.bz2 + version: '2.14' +- category: main + dependencies: + krb5: '>=1.19.3,<1.20.0a0' + libgcc-ng: '>=12' + libnghttp2: '>=1.47.0,<2.0a0' + libssh2: '>=1.10.0,<2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + openssl: '>=3.0.7,<4.0a0' + hash: + md5: fdca8cd67ec2676f90a70ac73a32538b + sha256: 485249c8cf7c2bd67d8308f7d1fccbe64e54334ad6cc73168d665eed824ca3bc + manager: conda + name: libcurl + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/libcurl-7.86.0-h2283fc2_1.tar.bz2 + version: 7.86.0 +- category: full + dependencies: + boost-cpp: '>=1.78.0,<1.78.1.0a0' + expat: '>=2.4.8,<3.0a0' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + libzlib: '>=1.2.12,<1.3.0a0' + zlib: '>=1.2.12,<1.3.0a0' + hash: + md5: 37d3747dd24d604f63d2610910576e63 + sha256: c435a9674717eac87e283ffdfe841635ecc025403c824f8ab5fa04e591e5b820 + manager: conda + name: libkml + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/libkml-1.3.0-h37653c0_1015.tar.bz2 + version: 1.3.0 +- category: full + dependencies: + krb5: '>=1.19.3,<1.20.0a0' + libgcc-ng: '>=12' + libzlib: '>=1.2.13,<1.3.0a0' + openssl: '>=3.0.7,<4.0a0' + hash: + md5: e1389a8d9a907133b3e6483c2807d243 + sha256: 3cc63d051ff00ed82b71df43cb431cff6c8a50be0b5f208f9588a318e56643f5 + manager: conda + name: libpq + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/libpq-15.1-h67c24c5_1.conda + version: '15.1' +- category: main + dependencies: + libgcc-ng: '>=12' + libllvm11: '>=11.1.0,<11.2.0a0' + libstdcxx-ng: '>=12' + libzlib: '>=1.2.13,<1.3.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: 8b0168c3620ecae746cc97a8a63c3fa7 + sha256: 8a7afc6498b712932e20560d56083e98f9bc46150691437ceec4b2d9a444cd3c + manager: conda + name: llvmlite + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/llvmlite-0.39.1-py39h7d9a04d_1.tar.bz2 + version: 0.39.1 - category: main dependencies: python: '>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*' @@ -1965,6 +1878,20 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2 version: 1.0.0 +- category: main + dependencies: + libgcc-ng: '>=12' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: c678e07e7862b3157fb9f6d908233ffa + sha256: 4261b334329ab4b974f9e56bca99567bf213b31feb26e6a36888cb0bb431d008 + manager: conda + name: markupsafe + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.1-py39hb9d737c_2.tar.bz2 + version: 2.1.1 - category: dev dependencies: python: '>=3.6' @@ -1989,6 +1916,21 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/mistune-2.0.4-pyhd8ed1ab_0.tar.bz2 version: 2.0.4 +- category: main + dependencies: + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: 1476ded6cd61da1e2d921a2396207c75 + sha256: a1f373b96221b13df5ab32ccf586232e6d82068c362278d0348a326951b93c34 + manager: conda + name: msgpack-python + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/msgpack-python-1.0.4-py39hf939315_1.tar.bz2 + version: 1.0.4 - category: main dependencies: python: '' @@ -2017,14 +1959,42 @@ package: dependencies: python: '>=3.8' hash: - md5: 1b74438a7270b1e2cbd3de9dba18ebb6 - sha256: eda4b0dba46c72770bc410c794f4da62509623a24c12b9805954828278915dc7 + md5: bb45ff9deddb045331fd039949f39650 + sha256: a8e3531fdb6f9acfde885dd94c8639c020013215dab98ff4ed82db7aa745277a manager: conda name: networkx optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/networkx-2.8.7-pyhd8ed1ab_0.tar.bz2 - version: 2.8.7 + url: https://conda.anaconda.org/conda-forge/noarch/networkx-2.8.8-pyhd8ed1ab_0.tar.bz2 + version: 2.8.8 +- category: main + dependencies: + libgcc-ng: '>=12' + libpng: '>=1.6.37,<1.7.0a0' + libstdcxx-ng: '>=12' + libtiff: '>=4.4.0,<5.0a0' + libzlib: '>=1.2.12,<1.3.0a0' + hash: + md5: a11b4df9271a8d7917686725aa04c8f2 + sha256: a715cba5649f12a1dca53dfd72fc49577152041f033d7595cf4b6a655a5b93b6 + manager: conda + name: openjpeg + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.0-h7d73246_1.tar.bz2 + version: 2.5.0 +- category: main + dependencies: + python: '>=3.7' + hash: + md5: 0e8e1bd93998978fc3125522266d12db + sha256: 163f26e55246c506a75551ca01f35c7d4d533aee6db5c4cf2d598ae253e956b8 + manager: conda + name: packaging + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/packaging-22.0-pyhd8ed1ab_0.conda + version: '22.0' - category: full dependencies: python: '!=3.0,!=3.1,!=3.2,!=3.3' @@ -2077,14 +2047,14 @@ package: dependencies: python: '>=3.7' hash: - md5: 2fb3f88922e7aec26ba652fcdfe13950 - sha256: a46843e317318405a8c66b640e7ad0c95d2f536918faa4f36cdfcda852000bcd + md5: b1b2ab02d1ece1719f7fa002ad4bc70d + sha256: 84f269198487823eaf5dbd1f1dd62f2f04c5dd98b66bb7e043cc6478dbf04f2e manager: conda name: platformdirs optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-2.5.2-pyhd8ed1ab_1.tar.bz2 - version: 2.5.2 + url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-2.6.0-pyhd8ed1ab_0.conda + version: 2.6.0 - category: dev dependencies: python: '>=3.8' @@ -2097,44 +2067,6 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.0.0-pyhd8ed1ab_5.tar.bz2 version: 1.0.0 -- category: full - dependencies: - krb5: '>=1.19.3,<1.20.0a0' - libgcc-ng: '>=12' - libpq: 14.5 he2d8382_1 - libxml2: '>=2.10.3,<2.11.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' - readline: '>=8.1.2,<9.0a0' - tzcode: '' - tzdata: '' - zlib: '' - hash: - md5: 39e6de6153ca4dca9081a2a4dc863102 - sha256: 8fb53481e1d57b3300ff0c581d0e67fc2339dc0ed97677da62c322a63525aeb3 - manager: conda - name: postgresql - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/postgresql-14.5-ha105346_1.tar.bz2 - version: '14.5' -- category: full - dependencies: - libcurl: '>=7.83.1,<8.0a0' - libgcc-ng: '>=12' - libsqlite: '>=3.39.3,<4.0a0' - libstdcxx-ng: '>=12' - libtiff: '>=4.4.0,<5.0a0' - sqlite: '>=3.39.3,<4.0a0' - hash: - md5: 255c7204dda39747c3ba380d28b026d7 - sha256: a381d3db5e344e101cd88304ec9eceaaa7a320ee35cc68fb10b247a7b46bcc3d - manager: conda - name: proj - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/proj-9.1.0-h93bde94_0.tar.bz2 - version: 9.1.0 - category: full dependencies: python: '>=3.6' @@ -2147,6 +2079,20 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.15.0-pyhd8ed1ab_0.tar.bz2 version: 0.15.0 +- category: main + dependencies: + libgcc-ng: '>=12' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: 12184951da572828fb986b06ffb63eed + sha256: 515cf2cfc0504eb5758fa9ddfabc1dcbd7182da7650828aac97c9eee35597c84 + manager: conda + name: psutil + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/psutil-5.9.4-py39hb9d737c_0.tar.bz2 + version: 5.9.4 - category: full dependencies: python: '' @@ -2195,6 +2141,20 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.0.9-pyhd8ed1ab_0.tar.bz2 version: 3.0.9 +- category: full + dependencies: + libgcc-ng: '>=12' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: e5dcf9f2f210b6135daad0e1f6545f98 + sha256: 3ba9683ce99ce63ab72005be7fa41fbcc3c2b164832b52cf179dcdfa8419f656 + manager: conda + name: pyrsistent + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/pyrsistent-0.19.2-py39hb9d737c_0.tar.bz2 + version: 0.19.2 - category: main dependencies: __unix: '' @@ -2222,28 +2182,48 @@ package: version: 2.16.2 - category: main dependencies: - python: 3.9.* + python: '>=3.6' hash: - md5: 39adde4247484de2bb4000122fdcf665 - sha256: 67231829ea0101fee30c68f788fdba40a11bbee8fdac556daaab5832bd27bf3d + md5: b1f26ad83328e486910ef7f6e81dc061 + sha256: d82fa6df6707afaf7e9f7034c810ced6e5c2b313ce9bf49eeee613b0711da0ab manager: conda - name: python_abi + name: pytz optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.9-2_cp39.tar.bz2 - version: '3.9' + url: https://conda.anaconda.org/conda-forge/noarch/pytz-2022.6-pyhd8ed1ab_0.tar.bz2 + version: '2022.6' - category: main dependencies: - python: '>=3.6' + libgcc-ng: '>=12' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + yaml: '>=0.2.5,<0.3.0a0' hash: - md5: 565724d09157870f0e469b1a0a172a6d - sha256: 0fc68b442d74920858fe7e4760c10efb22610fb27f28d2bfe98296b7ef2078f0 + md5: ef9db3c38ae7275f6b14491cfe61a248 + sha256: ae22172640fb16e7df679f55f16353be8ed6de434193a511214cf95eaa202e79 manager: conda - name: pytz + name: pyyaml optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytz-2022.5-pyhd8ed1ab_0.tar.bz2 - version: '2022.5' + url: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0-py39hb9d737c_5.tar.bz2 + version: '6.0' +- category: full + dependencies: + libgcc-ng: '>=12' + libsodium: '>=1.0.18,<1.0.19.0a0' + libstdcxx-ng: '>=12' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + zeromq: '>=4.3.4,<4.4.0a0' + hash: + md5: 8ef2263feb2f0130ced1a41444474e98 + sha256: 50bfdf05f3d8e6c99b11eace72b99da2dfade66626e7adf4efb882c956deaf86 + manager: conda + name: pyzmq + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-24.0.1-py39headdf64_1.tar.bz2 + version: 24.0.1 - category: full dependencies: python: '>=3.6' @@ -2260,14 +2240,14 @@ package: dependencies: python: '>=3.7' hash: - md5: 462466739c786f85f9ed555f87099fe1 - sha256: 8c1e25e2aae26973bbfe074dcb34a8b4904357048f4e83cb21e8843ee36c1fd5 + md5: cfb8dc4d9d285ca5fb1177b9dd450e33 + sha256: 55521371cfbd1bc046c362a108f9b8e294c35604896757659c6fb6765b6955c2 manager: conda name: setuptools optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/setuptools-65.5.0-pyhd8ed1ab_0.tar.bz2 - version: 65.5.0 + url: https://conda.anaconda.org/conda-forge/noarch/setuptools-65.5.1-pyhd8ed1ab_0.tar.bz2 + version: 65.5.1 - category: main dependencies: python: '' @@ -2316,6 +2296,20 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.3.2.post1-pyhd8ed1ab_0.tar.bz2 version: 2.3.2.post1 +- category: main + dependencies: + libgcc-ng: '>=12' + libhwloc: '>=2.8.0,<2.8.1.0a0' + libstdcxx-ng: '>=12' + hash: + md5: 1a272773743a97aa044fd5bcdac2138a + sha256: 27d76fe5972b1a21ba0d3fa83764a76f20c92b42dc58d045c3f02d78056de05c + manager: conda + name: tbb + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/tbb-2021.7.0-h924138e_1.conda + version: 2021.7.0 - category: main dependencies: python: '>=3.6' @@ -2388,18 +2382,32 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/toolz-0.12.0-pyhd8ed1ab_0.tar.bz2 version: 0.12.0 +- category: main + dependencies: + libgcc-ng: '>=10.3.0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: 5e13a2d214ed4184969df363a1aab420 + sha256: e7f1c835a824403f48bfaaaba9c711069427ddf4610df64fc0cdf001114c22cf + manager: conda + name: tornado + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.1-py39hb9d737c_3.tar.bz2 + version: '6.1' - category: full dependencies: python: '>=3.7' hash: - md5: 63650c013737b2801811bcd94524e863 - sha256: c5a333fa75f4d9ef577631a0ec6a3eb9d3538b5bc873286679cb3851419bf55b + md5: 96a8c913bcd01dd9ab7360290aeb4c42 + sha256: db45ac7c39fbc710ae0c178ac43eee642811f408be7778d1d5c4156618310cbe manager: conda name: traitlets optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.5.0-pyhd8ed1ab_0.tar.bz2 - version: 5.5.0 + url: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.7.1-pyhd8ed1ab_0.conda + version: 5.7.1 - category: dev dependencies: python: '>=3' @@ -2426,12 +2434,26 @@ package: version: 4.4.0 - category: main dependencies: - python: '>=3.6' + libgcc-ng: '>=12' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 hash: - md5: 4864e2f5c746f45e02ec46221caccb7e - sha256: da75b1b3b0674bf14d32cb00d6d070bf273772c73c787694d438104a486e7627 + md5: 230d65004135bf312504a1bbcb0c7a08 + sha256: 03c2cf05d1f4f2b01fc1e3ced22d5f331f2f233e335c4a4cd11a31fea1fccc0c manager: conda - name: utm + name: unicodedata2 + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-15.0.0-py39hb9d737c_0.tar.bz2 + version: 15.0.0 +- category: main + dependencies: + python: '>=3.6' + hash: + md5: 4864e2f5c746f45e02ec46221caccb7e + sha256: da75b1b3b0674bf14d32cb00d6d070bf273772c73c787694d438104a486e7627 + manager: conda + name: utm optional: false platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/utm-0.7.0-pyhd8ed1ab_0.tar.bz2 @@ -2452,54 +2474,80 @@ package: dependencies: python: '>=3.7' hash: - md5: f3b20ec2c97bad7104679b1d62eb7a11 - sha256: 911ac2b5c2bbe602c806ded8e5a40bd132e99ffa1dda10e27e6bc046c962fed6 + md5: 5309fca1777cfdd2d7ab582edb8cc41a + sha256: cf252c7ce64ab21e6dac77f070046f7523a9027059ab50856a17c3178f8c9187 manager: conda name: websocket-client optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.4.1-pyhd8ed1ab_0.tar.bz2 - version: 1.4.1 + url: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.4.2-pyhd8ed1ab_0.tar.bz2 + version: 1.4.2 - category: main dependencies: - python: '!=3.0,!=3.1,!=3.2,!=3.3,!=3.4' + python: '>=3.7' hash: - md5: 1ca02aaf78d9c70d9a81a3bed5752022 - sha256: aede66e6370f3b936164a703e48362f9080d7162234058fb2ee63cc84d528afc + md5: c829cfb8cb826acb9de0ac1a2df0a940 + sha256: bd4f11ff075ff251ade9f57686f31473e25be46ab282d9603f551401250f9f44 manager: conda name: wheel optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.37.1-pyhd8ed1ab_0.tar.bz2 - version: 0.37.1 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.38.4-pyhd8ed1ab_0.tar.bz2 + version: 0.38.4 +- category: dev dependencies: - icu: '>=70.1,<71.0a0' - libcurl: '>=7.85.0,<8.0a0' libgcc-ng: '>=12' - libnsl: '>=2.0.0,<2.1.0a0' - libstdcxx-ng: '>=12' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 hash: - md5: d127dc8efe24033b306180939e51e6af - sha256: 63a799ef355a4d01f6789ecf31fbfa1b96f8a6bbee1a3b4be6d5d34158eb32a5 + md5: f5906293b6eabeaaeafc90e427f9cbe5 + sha256: 16fa658554048c0eb37684685cf046ea3ef9e1f1fe03c92cbd8f726197ba60fe manager: conda - name: xerces-c + name: wrapt optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/xerces-c-3.2.4-h55805fa_1.tar.bz2 - version: 3.2.4 + url: https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.14.1-py39hb9d737c_1.tar.bz2 + version: 1.14.1 +- category: full + dependencies: + libgcc-ng: '>=9.3.0' + xorg-libx11: '>=1.7.0,<2.0a0' + xorg-xextproto: '' + hash: + md5: 536cc5db4d0a3ba0630541aec064b5e4 + sha256: cf47ccbf49d46189d7bdadeac1387c826be82deb92ce6badbb03baae4b67ed26 + manager: conda + name: xorg-libxext + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.4-h7f98852_1.tar.bz2 + version: 1.3.4 +- category: full + dependencies: + libgcc-ng: '>=9.3.0' + xorg-libx11: '>=1.7.0,<2.0a0' + xorg-renderproto: '' + hash: + md5: f59c1242cc1dd93e72c2ee2b360979eb + sha256: 7d907ed9e2ec5af5d7498fb3ab744accc298914ae31497ab6dcc6ef8bd134d00 + manager: conda + name: xorg-libxrender + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.10-h7f98852_1003.tar.bz2 + version: 0.9.10 - category: full dependencies: python: '>=3.7' hash: - md5: cd4eb48ebde7de61f92252979aab515c - sha256: 942b80980ae3db52f032720c82c2d4fb3f463b228762fc2d6a2684d6438fcc29 + md5: 09b5b885341697137879a4f039a9e5a1 + sha256: d98e41fe62edde9d979d79114f8cffa992ca86f4e7428c75e3c8b8fd6ab040a3 manager: conda name: zipp optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.10.0-pyhd8ed1ab_0.tar.bz2 - version: 3.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.11.0-pyhd8ed1ab_0.conda + version: 3.11.0 - category: full dependencies: python: '>=3.9,<3.10.0a0' @@ -2535,14 +2583,14 @@ package: python: '>=3.5' six: '' hash: - md5: 2e19652c1276ecec6477db3c60ca26c8 - sha256: fc97e082f049973612638b00280cbdd1aa839363b3be2b58e00b90e63657299d + md5: bf7f54dd0f25c3f06ecb82a07341841a + sha256: 7ed530efddd47a96c11197906b4008405b90e3bc2f4e0df722a36e0e6103fd9c manager: conda name: asttokens optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.1.0-pyhd8ed1ab_0.tar.bz2 - version: 2.1.0 + url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.2.1-pyhd8ed1ab_0.conda + version: 2.2.1 - category: full dependencies: backports: '' @@ -2572,19 +2620,34 @@ package: version: 4.11.1 - category: full dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + packaging: '' + python: '>=3.6' + setuptools: '' + six: '>=1.9.0' + webencodings: '' hash: - md5: 93ddd9ef07e3d17125801ee3ec9c5027 - sha256: 1f3a95cd30306fe5c2beedc5f612a4168bed08f6fa2155212752780dadff81ce + md5: 1f5151d37e4a2b1137f81c89a3a769f2 + sha256: b85dd43a40efd13c860086365d181eb9bc64cc757c36a05edc7544c3fa622bf8 manager: conda - name: brotli-python + name: bleach optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.0.9-py39h5a03fae_8.tar.bz2 - version: 1.0.9 + url: https://conda.anaconda.org/conda-forge/noarch/bleach-5.0.1-pyhd8ed1ab_0.tar.bz2 + version: 5.0.1 +- category: full + dependencies: + brotli: '>=1.0.9,<2.0a0' + libgcc-ng: '>=9.3.0' + libstdcxx-ng: '>=9.3.0' + hash: + md5: c1ac6229d0bfd14f8354ff9ad2a26cad + sha256: 36da32e5a6beab7a9af39be1c8f42e5eca716e64562cb9d5e0d559c14406b11d + manager: conda + name: brunsli + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/brunsli-0.1-h9c3ff4c_0.tar.bz2 + version: '0.1' - category: main dependencies: cached_property: '>=1.5.2,<1.5.3.0a0' @@ -2597,6 +2660,33 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2 version: 1.5.2 +- category: full + dependencies: + fontconfig: '>=2.13.96,<3.0a0' + fonts-conda-ecosystem: '' + freetype: '>=2.12.1,<3.0a0' + icu: '>=70.1,<71.0a0' + libgcc-ng: '>=12' + libglib: '>=2.72.1,<3.0a0' + libpng: '>=1.6.38,<1.7.0a0' + libxcb: '>=1.13,<1.14.0a0' + libzlib: '>=1.2.12,<1.3.0a0' + pixman: '>=0.40.0,<1.0a0' + xorg-libice: '' + xorg-libsm: '' + xorg-libx11: '' + xorg-libxext: '' + xorg-libxrender: '' + zlib: '>=1.2.12,<1.3.0a0' + hash: + md5: d1a88f3ed5b52e1024b80d4bcd26a7a0 + sha256: f062cf56e6e50d3ad4b425ebb3765ca9138c6ebc52e6a42d1377de8bc8d954f6 + manager: conda + name: cairo + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.16.0-ha61ee94_1014.tar.bz2 + version: 1.16.0 - category: main dependencies: libffi: '>=3.4,<4.0a0' @@ -2613,6 +2703,23 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.15.1-py39he91dace_2.tar.bz2 version: 1.15.1 +- category: full + dependencies: + bzip2: '>=1.0.8,<2.0a0' + libcurl: '>=7.86.0,<8.0a0' + libgcc-ng: '>=12' + libgfortran-ng: '' + libgfortran5: '>=10.4.0' + libzlib: '>=1.2.13,<1.3.0a0' + hash: + md5: 8c57a9adbafd87f5eff842abde599cb4 + sha256: 6409d15f09ae1a1673c971c8f45fc87272d1af569d027efbe16b689a1a8afd0d + manager: conda + name: cfitsio + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/cfitsio-4.2.0-hd9d235c_0.conda + version: 4.2.0 - category: full dependencies: click: '>=3.0' @@ -2639,6 +2746,19 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/cligj-0.7.2-pyhd8ed1ab_1.tar.bz2 version: 0.7.2 +- category: full + dependencies: + python: '>=3.6' + traitlets: '>=5.3' + hash: + md5: 3c78af4752bb1600ebe5e83ef4588eaa + sha256: b33f5e5eb2bedefc3db622dd0b2f4ea67b621080153913eb22486aac78b6f54f + manager: conda + name: comm + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/comm-0.1.2-pyhd8ed1ab_0.conda + version: 0.1.2 - category: dev dependencies: libgcc-ng: '>=12' @@ -2654,6 +2774,23 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/coverage-6.5.0-py39hb9d737c_1.tar.bz2 version: 6.5.0 +- category: full + dependencies: + krb5: '>=1.19.3,<1.20.0a0' + libcurl: 7.86.0 h2283fc2_1 + libgcc-ng: '>=12' + libssh2: '>=1.10.0,<2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + openssl: '>=3.0.7,<4.0a0' + hash: + md5: 9d4149760567cb232691cce2d8ccc21f + sha256: 9c7de3c405c8195a02dd829f4b9b1a8a14b5bca4670b8e6a05554df63d0b92af + manager: conda + name: curl + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/curl-7.86.0-h2283fc2_1.tar.bz2 + version: 7.86.0 - category: main dependencies: libgcc-ng: '>=12' @@ -2669,91 +2806,106 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-0.12.0-py39hb9d737c_1.tar.bz2 version: 0.12.0 -- category: full +- category: main dependencies: + brotli: '' libgcc-ng: '>=12' - libstdcxx-ng: '>=12' + munkres: '' python: '>=3.9,<3.10.0a0' python_abi: 3.9.* *_cp39 + unicodedata2: '>=14.0.0' hash: - md5: 9ecabb09bdfe42d399c872abf93f9c14 - sha256: 516fdaa652e87a23a324d167b1ee709ba614d681977541d12f3a1496eccdb147 + md5: 3f2d104f2fefdd5e8a205dd3aacbf1d7 + sha256: 55dff2dd401ef1d6fc4a27cf8e74af899c609519d35eafff3b097d7fc1836d83 manager: conda - name: debugpy - optional: true + name: fonttools + optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.6.3-py39h5a03fae_1.tar.bz2 - version: 1.6.3 -- category: full + url: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.38.0-py39hb9d737c_1.tar.bz2 + version: 4.38.0 +- category: main dependencies: - jpeg: '>=9e,<10a' + libcurl: '>=7.83.1,<8.0a0' libgcc-ng: '>=12' + libgfortran-ng: '' + libgfortran5: '>=10.3.0' libstdcxx-ng: '>=12' - libtiff: '>=4.4.0,<5.0a0' libzlib: '>=1.2.12,<1.3.0a0' - proj: '>=9.1.0,<9.1.1.0a0' - zlib: '>=1.2.12,<1.3.0a0' + openssl: '>=3.0.5,<4.0a0' hash: - md5: 6a613710a0f19aba3a5dfe83bf1c1c0f - sha256: afc5ecf6b1892546cc497f0290a70333908aa388f750d614664c293f91468ee6 + md5: 91f6a330e4aeba166e5d7f0ee0af3d37 + sha256: db7e8ef5c2012e80ad23f8a47f4be2f375b8ab59c6aab858e958a37218e86790 manager: conda - name: geotiff - optional: true + name: hdf5 + optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/geotiff-1.7.1-ha76d385_4.tar.bz2 - version: 1.7.1 + url: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.12.2-nompi_h4df4325_100.tar.bz2 + version: 1.12.2 - category: full dependencies: python: '>=3.8' zipp: '>=0.5' hash: - md5: ec069c4db6a0ad84107bac5da62819d2 - sha256: cea7928e6949c3ecd15e56ee8fa4e54efa8bb82738b8264e0489847e86e022c8 + md5: 46a62e35b9ae515cf0e49afc7fe0e7ef + sha256: 6e5e45c3cc3ba9fc854cd80960d775ff6c042e1f0b1351ca2e294b1b9d987d8c manager: conda name: importlib-metadata optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-5.0.0-pyha770c72_1.tar.bz2 - version: 5.0.0 + url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-5.1.0-pyha770c72_0.conda + version: 5.1.0 - category: full dependencies: python: '>=3.6' zipp: '>=3.1.0' hash: - md5: eb521efe7f5550de7573bc1629b74a05 - sha256: d4929ef6dd4ba4222dc2bd737c365833b896a3ee89f9e5142df763799b5ca944 + md5: db5d88c84c769798bf4b2f6776446b32 + sha256: 89347f8b0bcc0fcc31620cc5745f1cb34e71b9f7692a0384cb411090daea192f manager: conda name: importlib_resources optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.10.0-pyhd8ed1ab_0.tar.bz2 - version: 5.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.10.1-pyhd8ed1ab_0.conda + version: 5.10.1 - category: dev dependencies: python: '>=3.6,<4.0' setuptools: '' hash: - md5: 83df9ffefe1cc01d9e60405bf871bfdb - sha256: b9c74f448872cea7ecc10c6f3ec718427ec9632d446e102ef9525f23c172cf5a + md5: 9ee052b5a12b65ecce7a854a38675106 + sha256: 8288fe6d26deaf90b720f0c3f6e5b908d750dec6fb5a85ca05886030e1478667 manager: conda name: isort optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/isort-5.10.1-pyhd8ed1ab_0.tar.bz2 - version: 5.10.1 + url: https://conda.anaconda.org/conda-forge/noarch/isort-5.11.1-pyhd8ed1ab_0.conda + version: 5.11.1 - category: full dependencies: parso: '>=0.8.0,<0.9.0' python: '>=3.6' hash: - md5: 0e613217e78777045199372a2b0d5bd2 - sha256: 1c7150635f00455037bbede8a6c0086531c45e8e257ff6eaaf7aa134ccd20767 + md5: b5e695ef9c3f0d27d6cd96bf5adc9e07 + sha256: abe63ae6e1b13f83500608d94004cb8d485b264083511d77f79253e775cd546c manager: conda name: jedi optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.18.1-pyhd8ed1ab_2.tar.bz2 - version: 0.18.1 + url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.18.2-pyhd8ed1ab_0.conda + version: 0.18.2 +- category: main + dependencies: + markupsafe: '>=2.0' + python: '>=3.7' + hash: + md5: c8490ed5c70966d232fdd389d0dbed37 + sha256: b045faba7130ab263db6a8fdc96b1a3de5fcf85c4a607c5f11a49e76851500b5 + manager: conda + name: jinja2 + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2 + version: 3.1.2 - category: main dependencies: python: '>=3.6' @@ -2769,229 +2921,65 @@ package: version: 1.2.0 - category: full dependencies: + platformdirs: '>=2.5' python: '>=3.9,<3.10.0a0' python_abi: 3.9.* *_cp39 - traitlets: '' + traitlets: '>=5.3' hash: - md5: 75b09eec010afb0e4eefa861836259c7 - sha256: ba456440ad8cc6c28bfdf68595af20c7bc33aaa4fb3bf9e2702f30e5264489fc + md5: 4f5b3538aea06497d3bb7781b9d204ed + sha256: aa1f2bd1311bea37d31a506eec899d4c180aad43942b0fd04b324b3e299fc68c manager: conda name: jupyter_core optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/jupyter_core-4.11.1-py39hf3d152e_1.tar.bz2 - version: 4.11.1 + url: https://conda.anaconda.org/conda-forge/linux-64/jupyter_core-5.1.0-py39hf3d152e_0.conda + version: 5.1.0 - category: full dependencies: - hdf5: '>=1.12.2,<1.12.3.0a0' - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' + python: '>=3.6' + traitlets: '' hash: - md5: 085b1e5ae7fa9a236f88a68eae65374e - sha256: d0725e93efdf4ab5687382e18288d6f9f34a31d82045dc3e8fff958c05cbb431 + md5: b21613793fcc81d944c76c9f2864a7de + sha256: aa091b88aec55bfa2d9207028d8cdc689b9efb090ae27b99557e93c675be2f3c manager: conda - name: kealib + name: matplotlib-inline optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/kealib-1.4.15-ha7026e8_1.tar.bz2 - version: 1.4.15 + url: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.6-pyhd8ed1ab_0.tar.bz2 + version: 0.1.6 - category: main dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + _openmp_mutex: '>=4.5' + llvm-openmp: '>=15.0.6' + tbb: 2021.* hash: - md5: 41679a052a8ce841c74df1ebc802e411 - sha256: eb28254cc7029e702d0059536d986b010221de62f9c8588a5a83e95a00b4e74d + md5: a7ce56d5757f5b57e7daabe703ade5bb + sha256: 5322750d5e96ff5d96b1457db5fb6b10300f2bc4030545e940e17b57c4e96d00 manager: conda - name: kiwisolver + name: mkl optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.4-py39hf939315_1.tar.bz2 - version: 1.4.4 -- category: dev + url: https://conda.anaconda.org/conda-forge/linux-64/mkl-2022.2.1-h84fe81f_16997.conda + version: 2022.2.1 +- category: full dependencies: - libgcc-ng: '>=12' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + python: '' + setuptools: '>=17.1' + six: '' hash: - md5: b38a4ea2a1dd586c0bb078bc325b5a18 - sha256: 190069213e075a353683d783c90980f87621f806dc2cf109d47f534189ba91fb + md5: 31d9e9be500e25ff0050bc9f57a6bcd7 + sha256: bd885bec8b012abf0c5ca5d6225caf0e88e5b2b0af8fa5a4e4d339604d3e9cd1 manager: conda - name: lazy-object-proxy + name: munch optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/lazy-object-proxy-1.8.0-py39hb9d737c_0.tar.bz2 - version: 1.8.0 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/munch-2.5.0-py_0.tar.bz2 + version: 2.5.0 +- category: main dependencies: - curl: '>=7.75.0,<8.0a0' - libgcc-ng: '>=9.3.0' - libstdcxx-ng: '>=9.3.0' - libuuid: '>=2.32.1,<3.0a0' - libxml2: '>=2.9.10,<2.11.0a0' - hash: - md5: c265ae57e3acdc891f3e2b93cf6784f5 - sha256: ebc0d6a0decbd236f3cc362d7485f8ad1f7aef1246ada5507b407892e88293c5 - manager: conda - name: libdap4 - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libdap4-3.20.6-hd7c4107_2.tar.bz2 - version: 3.20.6 -- category: full - dependencies: - bzip2: '>=1.0.8,<2.0a0' - curl: '' - hdf4: '>=4.2.15,<4.2.16.0a0' - hdf5: '>=1.12.2,<1.12.3.0a0' - jpeg: '>=9e,<10a' - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - libxml2: '>=2.10.3,<2.11.0a0' - libzip: '>=1.9.2,<2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - hash: - md5: 9b25de670ce5753a33c18b1090d1d3bf - sha256: 2ccb50f85e11c19479c9986065673bbf86d3e9c5d451c16507da9488e41800fa - manager: conda - name: libnetcdf - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.8.1-nompi_h261ec11_106.tar.bz2 - version: 4.8.1 -- category: full - dependencies: - freexl: '>=1.0.6,<2.0a0' - geos: '>=3.11.0,<3.11.1.0a0' - libgcc-ng: '>=12' - librttopo: '>=1.1.0,<1.2.0a0' - libsqlite: '>=3.39.3,<4.0a0' - libstdcxx-ng: '>=12' - libxml2: '>=2.10.2,<2.11.0a0' - libzlib: '>=1.2.12,<1.3.0a0' - proj: '>=9.1.0,<9.1.1.0a0' - sqlite: '>=3.39.3,<4.0a0' - zlib: '>=1.2.12,<1.3.0a0' - hash: - md5: 92a2dbb3813c4ef1ba81802453173de6 - sha256: 2f4dba1c76f9a3ef9504cbe7386b38c55202910aea8366d953ea3c0470ee71d5 - manager: conda - name: libspatialite - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libspatialite-5.0.1-hfbd986c_21.tar.bz2 - version: 5.0.1 -- category: main - dependencies: - libgcc-ng: '>=12' - libllvm11: '>=11.1.0,<11.2.0a0' - libstdcxx-ng: '>=12' - libzlib: '>=1.2.13,<1.3.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - hash: - md5: 8b0168c3620ecae746cc97a8a63c3fa7 - sha256: 8a7afc6498b712932e20560d56083e98f9bc46150691437ceec4b2d9a444cd3c - manager: conda - name: llvmlite - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/llvmlite-0.39.1-py39h7d9a04d_1.tar.bz2 - version: 0.39.1 -- category: main - dependencies: - libgcc-ng: '>=12' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - hash: - md5: c678e07e7862b3157fb9f6d908233ffa - sha256: 4261b334329ab4b974f9e56bca99567bf213b31feb26e6a36888cb0bb431d008 - manager: conda - name: markupsafe - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.1-py39hb9d737c_2.tar.bz2 - version: 2.1.1 -- category: full - dependencies: - python: '>=3.6' - traitlets: '' - hash: - md5: b21613793fcc81d944c76c9f2864a7de - sha256: aa091b88aec55bfa2d9207028d8cdc689b9efb090ae27b99557e93c675be2f3c - manager: conda - name: matplotlib-inline - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.6-pyhd8ed1ab_0.tar.bz2 - version: 0.1.6 -- category: main - dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - hash: - md5: 1476ded6cd61da1e2d921a2396207c75 - sha256: a1f373b96221b13df5ab32ccf586232e6d82068c362278d0348a326951b93c34 - manager: conda - name: msgpack-python - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/msgpack-python-1.0.4-py39hf939315_1.tar.bz2 - version: 1.0.4 -- category: full - dependencies: - python: '' - setuptools: '>=17.1' - six: '' - hash: - md5: 31d9e9be500e25ff0050bc9f57a6bcd7 - sha256: bd885bec8b012abf0c5ca5d6225caf0e88e5b2b0af8fa5a4e4d339604d3e9cd1 - manager: conda - name: munch - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/munch-2.5.0-py_0.tar.bz2 - version: 2.5.0 -- category: main - dependencies: - libblas: '>=3.9.0,<4.0a0' - libcblas: '>=3.9.0,<4.0a0' - libgcc-ng: '>=12' - liblapack: '>=3.9.0,<4.0a0' - libstdcxx-ng: '>=12' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - hash: - md5: ba4f1c0466d4ba7f53090c150fc88434 - sha256: 7ddfc5cbec573d2a7c8e328b0f57b62bfd5295858f2475658a9f26c85933e235 - manager: conda - name: numpy - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.23.4-py39h3d75532_1.tar.bz2 - version: 1.23.4 -- category: main - dependencies: - pyparsing: '>=2.0.2,!=3.0.5' - python: '>=3.6' - hash: - md5: 71f1ab2de48613876becddd496371c85 - sha256: 8322a9e93e2e09fbf2103f0d37c9287b7b97387125abadd6db26686084893540 - manager: conda - name: packaging - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/packaging-21.3-pyhd8ed1ab_0.tar.bz2 - version: '21.3' -- category: main - dependencies: - locket: '' - python: '>=3.7' - toolz: '' + locket: '' + python: '>=3.7' + toolz: '' hash: md5: af8c82d121e63082926062d61d9abb54 sha256: 0bba1886af3b9aaa398e237dc481c1afb06289b81c5434bf51d089b553f0035b @@ -3043,71 +3031,65 @@ package: setuptools: '' wheel: '' hash: - md5: 6f4c6de9fed2a9bd8043283611b09587 - sha256: 9300dd4a4ca6ced6ebaf455e7be43aeb47e1d764de1c3f448d9dc98ab3b32942 + md5: da66f2851b9836d3a7c5190082a45f7d + sha256: 7a86b2427abbf5cf695da192ba1c03130115f157297e7bfde65f0a18a345a7bc manager: conda name: pip optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/pip-22.3-pyhd8ed1ab_0.tar.bz2 - version: '22.3' + url: https://conda.anaconda.org/conda-forge/noarch/pip-22.3.1-pyhd8ed1ab_0.tar.bz2 + version: 22.3.1 - category: full dependencies: python: '>=3.6' tenacity: '>=6.2.0' hash: - md5: 71aef86c572ad0ee49dba9af238d9c13 - sha256: b41f31aa81bff52d1d473a9f4a45c5600f36b8b7f259a8a572467d1836bad59a + md5: e594a3343150c5c470902d46e1723b45 + sha256: 60de0401c5bd29db1d3112cc56919010d89cfd38239f122c51df78ea5fd82e7e manager: conda name: plotly optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/plotly-5.11.0-pyhd8ed1ab_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/noarch/plotly-5.11.0-pyhd8ed1ab_1.conda version: 5.11.0 - category: full dependencies: - boost-cpp: '>=1.78.0,<1.78.1.0a0' - cairo: '>=1.16.0,<2.0a0' - fontconfig: '>=2.14.0,<3.0a0' - fonts-conda-ecosystem: '' - freetype: '>=2.12.1,<3.0a0' - gettext: '>=0.21.1,<1.0a0' - jpeg: '>=9e,<10a' - lcms2: '>=2.12,<3.0a0' - libcurl: '>=7.85.0,<8.0a0' + krb5: '>=1.19.3,<1.20.0a0' libgcc-ng: '>=12' - libglib: '>=2.74.0,<3.0a0' - libiconv: '>=1.17,<2.0a0' - libpng: '>=1.6.38,<1.7.0a0' - libstdcxx-ng: '>=12' - libtiff: '>=4.4.0,<5.0a0' + libpq: 15.1 h67c24c5_1 + libxml2: '>=2.10.3,<2.11.0a0' libzlib: '>=1.2.13,<1.3.0a0' - nss: '>=3.78,<4.0a0' - openjpeg: '>=2.5.0,<3.0a0' - poppler-data: '' + openssl: '>=3.0.7,<4.0a0' + readline: '>=8.1.2,<9.0a0' + tzcode: '' + tzdata: '' + zlib: '' hash: - md5: 8c00d4aa14790bce1a4d1f57e50dbee8 - sha256: 9fb12bd5b71321756f7525a8ce9dc21c81094e5d1f1f8d226d0325713dbe8dd9 + md5: 81cfa38baa2a8741f0566f8815fef4e3 + sha256: 0a4b020f1bc08f72e4669b3f8bc26ef760a744122983d18694ed891878f6da07 manager: conda - name: poppler + name: postgresql optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/poppler-22.10.0-h92391eb_0.tar.bz2 - version: 22.10.0 -- category: main + url: https://conda.anaconda.org/conda-forge/linux-64/postgresql-15.1-ha105346_1.conda + version: '15.1' +- category: full dependencies: + libcurl: '>=7.83.1,<8.0a0' libgcc-ng: '>=12' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + libsqlite: '>=3.39.3,<4.0a0' + libstdcxx-ng: '>=12' + libtiff: '>=4.4.0,<5.0a0' + sqlite: '>=3.39.3,<4.0a0' hash: - md5: 0f50870227259af1edbb7b8bd04f2e07 - sha256: 1d121d22dbe20f0a40f03d2943b635cabd7d76bb13bb179f387b41be897465c4 + md5: 255c7204dda39747c3ba380d28b026d7 + sha256: a381d3db5e344e101cd88304ec9eceaaa7a320ee35cc68fb10b247a7b46bcc3d manager: conda - name: psutil - optional: false + name: proj + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/psutil-5.9.3-py39hb9d737c_1.tar.bz2 - version: 5.9.3 + url: https://conda.anaconda.org/conda-forge/linux-64/proj-9.1.0-h93bde94_0.tar.bz2 + version: 9.1.0 - category: full dependencies: python: '>=3.6' @@ -3121,20 +3103,25 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/pygments-2.13.0-pyhd8ed1ab_0.tar.bz2 version: 2.13.0 -- category: full +- category: dev dependencies: - libgcc-ng: '>=12' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + attrs: '>=19.2.0' + colorama: '' + exceptiongroup: '' + iniconfig: '' + packaging: '' + pluggy: '>=0.12,<2.0' + python: '>=3.8' + tomli: '>=1.0.0' hash: - md5: fb7a9c27e358c292ee48792c4fbe6865 - sha256: 77b87454b30010c32b74f75e8930cf834ebf5e57b1c9ff1a6b888743d7e96bad + md5: ac82c7aebc282e6ac0450fca012ca78c + sha256: 854233dc2d0d64219b7e951ccf49c1f32332c6fc7085ecb62cc18bc1f4e791b0 manager: conda - name: pyrsistent + name: pytest optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pyrsistent-0.18.1-py39hb9d737c_2.tar.bz2 - version: 0.18.1 + url: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.0-pyhd8ed1ab_2.tar.bz2 + version: 7.2.0 - category: main dependencies: python: '>=3.6' @@ -3148,38 +3135,6 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2 version: 2.8.2 -- category: main - dependencies: - libgcc-ng: '>=12' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - yaml: '>=0.2.5,<0.3.0a0' - hash: - md5: ef9db3c38ae7275f6b14491cfe61a248 - sha256: ae22172640fb16e7df679f55f16353be8ed6de434193a511214cf95eaa202e79 - manager: conda - name: pyyaml - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0-py39hb9d737c_5.tar.bz2 - version: '6.0' -- category: full - dependencies: - libgcc-ng: '>=12' - libsodium: '>=1.0.18,<1.0.19.0a0' - libstdcxx-ng: '>=12' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - zeromq: '>=4.3.4,<4.4.0a0' - hash: - md5: 8ef2263feb2f0130ced1a41444474e98 - sha256: 50bfdf05f3d8e6c99b11eace72b99da2dfade66626e7adf4efb882c956deaf86 - manager: conda - name: pyzmq - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-24.0.1-py39headdf64_1.tar.bz2 - version: 24.0.1 - category: full dependencies: python: '' @@ -3195,24 +3150,19 @@ package: version: 1.3.3 - category: full dependencies: - bzip2: '>=1.0.8,<2.0a0' - curl: '' - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - libzlib: '>=1.2.13,<1.3.0a0' - lz4-c: '>=1.9.3,<1.10.0a0' - openssl: '>=3.0.5,<4.0a0' - zlib: '' - zstd: '>=1.5.2,<1.6.0a0' + __linux: '' + ptyprocess: '' + python: '>=3.7' + tornado: '>=6.1.0' hash: - md5: 4ae02ca7d1da6e2b4e3005108df36812 - sha256: cfcc418a8e19487d2286df2954d1f8b22d85299f54d3a314e1540173149801ea + md5: 3788984d535770cad699efaeb6cb3037 + sha256: bce252eb53330a8ba9617caa7a1dc75ce602c8808cf547a8f4d48285901f47c3 manager: conda - name: tiledb + name: terminado optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/tiledb-2.11.3-h3f4058f_1.tar.bz2 - version: 2.11.3 + url: https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.1-pyh41d4057_0.conda + version: 0.17.1 - category: full dependencies: python: '>=3.5' @@ -3241,22 +3191,8 @@ package: version: 0.11.6 - category: main dependencies: - libgcc-ng: '>=10.3.0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - hash: - md5: 5e13a2d214ed4184969df363a1aab420 - sha256: e7f1c835a824403f48bfaaaba9c711069427ddf4610df64fc0cdf001114c22cf - manager: conda - name: tornado - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.1-py39hb9d737c_3.tar.bz2 - version: '6.1' -- category: main - dependencies: - colorama: '' - python: '>=2.7' + colorama: '' + python: '>=2.7' hash: md5: 5526ff3f88f9db87bb0924b9ce575345 sha256: d196e0c3a057a840147fa23d3d43eafd6b63258846bdafe8ac17f70b534f91bd @@ -3278,34 +3214,35 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.4.0-hd8ed1ab_0.tar.bz2 version: 4.4.0 -- category: main +- category: full dependencies: - libgcc-ng: '>=12' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + markupsafe: '>=2.1.1' + python: '>=3.7' hash: - md5: 230d65004135bf312504a1bbcb0c7a08 - sha256: 03c2cf05d1f4f2b01fc1e3ced22d5f331f2f233e335c4a4cd11a31fea1fccc0c + md5: 8e69568592e552919201f730b01a58c2 + sha256: 3bb3d6a98f9e3c6081166d81368e4a0e48fdbfe19e683a957ac344b063c42412 manager: conda - name: unicodedata2 - optional: false + name: werkzeug + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-15.0.0-py39hb9d737c_0.tar.bz2 - version: 15.0.0 -- category: dev + url: https://conda.anaconda.org/conda-forge/noarch/werkzeug-2.2.2-pyhd8ed1ab_0.tar.bz2 + version: 2.2.2 +- category: full dependencies: + icu: '>=70.1,<71.0a0' + libcurl: '>=7.85.0,<8.0a0' libgcc-ng: '>=12' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + libnsl: '>=2.0.0,<2.1.0a0' + libstdcxx-ng: '>=12' hash: - md5: f5906293b6eabeaaeafc90e427f9cbe5 - sha256: 16fa658554048c0eb37684685cf046ea3ef9e1f1fe03c92cbd8f726197ba60fe + md5: d127dc8efe24033b306180939e51e6af + sha256: 63a799ef355a4d01f6789ecf31fbfa1b96f8a6bbee1a3b4be6d5d34158eb32a5 manager: conda - name: wrapt + name: xerces-c optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.14.1-py39hb9d737c_1.tar.bz2 - version: 1.14.1 + url: https://conda.anaconda.org/conda-forge/linux-64/xerces-c-3.2.4-h55805fa_1.tar.bz2 + version: 3.2.4 - category: main dependencies: heapdict: '' @@ -3343,30 +3280,14 @@ package: typing-extensions: '>=3.10' wrapt: '>=1.11,<2' hash: - md5: 73ac006190838b9a618b5f37a676ef50 - sha256: 0cf874cb44c2893950c357b0138225821cecba50d36835adad6ed4489f9addeb + md5: 59e87f99e29932cd8429ea9638c8d189 + sha256: 81bfbaa972f01c7c633d030d93e1d8370d98276bb3fa303eb2da82c5afdf5d31 manager: conda name: astroid optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/astroid-2.12.12-py39hf3d152e_1.tar.bz2 - version: 2.12.12 -- category: full - dependencies: - packaging: '' - python: '>=3.6' - setuptools: '' - six: '>=1.9.0' - webencodings: '' - hash: - md5: 1f5151d37e4a2b1137f81c89a3a769f2 - sha256: b85dd43a40efd13c860086365d181eb9bc64cc757c36a05edc7544c3fa622bf8 - manager: conda - name: bleach - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/bleach-5.0.1-pyhd8ed1ab_0.tar.bz2 - version: 5.0.1 + url: https://conda.anaconda.org/conda-forge/linux-64/astroid-2.12.13-py39hf3d152e_0.conda + version: 2.12.13 - category: main dependencies: cffi: '>=1.0.0' @@ -3382,38 +3303,22 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/linux-64/brotlipy-0.7.0-py39hb9d737c_1005.tar.bz2 version: 0.7.0 -- category: main - dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - numpy: '>=1.16' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - hash: - md5: fb3f77fe25042c20c51974fcfe72f797 - sha256: 98836c1f9a91c7d18b3f70956602c825c0c70db29dd9a353d294ff801866aa40 - manager: conda - name: contourpy - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.0.6-py39hf939315_0.tar.bz2 - version: 1.0.6 - category: main dependencies: cffi: '>=1.12' libgcc-ng: '>=12' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' python: '>=3.9,<3.10.0a0' python_abi: 3.9.* *_cp39 hash: - md5: 4256f5801a530eb065f52a33a6cbe4e0 - sha256: 012e8136bfe3c6be62ec30acad63eaeac5f8fdfe4d3249f72f7f3036a715c579 + md5: dee37fde01f9bbc53ec421199d7b17cf + sha256: e2aa3c11b22554733ecc07b97d7925db0467921a45ccc69e348e9e7501ce7e11 manager: conda name: cryptography optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/cryptography-38.0.2-py39h3ccb8fc_2.tar.bz2 - version: 38.0.2 + url: https://conda.anaconda.org/conda-forge/linux-64/cryptography-38.0.4-py39h3ccb8fc_0.conda + version: 38.0.4 - category: main dependencies: cloudpickle: '>=1.1.1' @@ -3432,111 +3337,41 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2022.10.0-pyhd8ed1ab_2.tar.bz2 version: 2022.10.0 -- category: main - dependencies: - brotli: '' - libgcc-ng: '>=12' - munkres: '' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - unicodedata2: '>=14.0.0' - hash: - md5: 3f2d104f2fefdd5e8a205dd3aacbf1d7 - sha256: 55dff2dd401ef1d6fc4a27cf8e74af899c609519d35eafff3b097d7fc1836d83 - manager: conda - name: fonttools - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.38.0-py39hb9d737c_1.tar.bz2 - version: 4.38.0 -- category: main +- category: full dependencies: - cached-property: '' - hdf5: '>=1.12.2,<1.12.3.0a0' - libgcc-ng: '>=12' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + click: '>=8.0' + importlib-metadata: '>=3.6.0' + itsdangerous: '>=2.0' + jinja2: '>=3.0' + python: '>=3.7' + werkzeug: '>=2.2.2' hash: - md5: fd439e2a36d79b2855827df5ef4c4d32 - sha256: bc4a84a42d3e2c358a40093b45d7a28e8000e4253353496e6d35e804ad01a36e + md5: 85fad4c7889dd969ed4c02cf63cfe9c5 + sha256: e047c40122dc3fd53c534924271e9635d3dbf5ba606ccd2bd7f7c70b63697037 manager: conda - name: h5py - optional: false + name: flask + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.7.0-nompi_py39h817c9c5_102.tar.bz2 - version: 3.7.0 + url: https://conda.anaconda.org/conda-forge/noarch/flask-2.2.2-pyhd8ed1ab_0.tar.bz2 + version: 2.2.2 - category: full dependencies: - blosc: '>=1.21.1,<2.0a0' - brunsli: '>=0.1,<1.0a0' - bzip2: '>=1.0.8,<2.0a0' - c-blosc2: '>=2.4.3,<3.0a0' - cfitsio: '>=4.1.0,<4.1.1.0a0' - charls: '>=2.3.4,<2.4.0a0' - giflib: '>=5.2.1,<5.3.0a0' jpeg: '>=9e,<10a' - jxrlib: '>=1.1,<1.2.0a0' - lcms2: '>=2.12,<3.0a0' - lerc: '>=4.0.0,<5.0a0' - libaec: '>=1.0.6,<2.0a0' - libavif: '>=0.11.1,<0.11.2.0a0' - libbrotlicommon: '>=1.0.9,<1.1.0a0' - libbrotlidec: '>=1.0.9,<1.1.0a0' - libbrotlienc: '>=1.0.9,<1.1.0a0' - libdeflate: '>=1.14,<1.15.0a0' libgcc-ng: '>=12' - libpng: '>=1.6.38,<1.7.0a0' libstdcxx-ng: '>=12' libtiff: '>=4.4.0,<5.0a0' - libwebp-base: '>=1.2.4,<2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - libzopfli: '>=1.0.3,<1.1.0a0' - lz4-c: '>=1.9.3,<1.10.0a0' - numpy: '>=1.20.3,<2.0a0' - openjpeg: '>=2.5.0,<3.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - snappy: '>=1.1.9,<2.0a0' - xz: '>=5.2.6,<6.0a0' - zfp: '>=1.0.0,<2.0a0' - zstd: '>=1.5.2,<1.6.0a0' - hash: - md5: db54bac14e45918857510e8fd5d09f0e - sha256: b4ee1bc72cf51cab7efd28fcf936eb0c31c31e1ef34fbc42beb3d8977be248dd - manager: conda - name: imagecodecs - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/imagecodecs-2022.9.26-py39h702eeef_3.tar.bz2 - version: 2022.9.26 -- category: full - dependencies: - numpy: '' - pillow: '>=8.3.2' - python: '>=3' + libzlib: '>=1.2.12,<1.3.0a0' + proj: '>=9.1.0,<9.1.1.0a0' + zlib: '>=1.2.12,<1.3.0a0' hash: - md5: 9d10b00d27b54836d40759608d558276 - sha256: 0f949184ba2b939c05c817b043566c616ea49e373989859e6cc47fd7aa8ea6fa + md5: 6a613710a0f19aba3a5dfe83bf1c1c0f + sha256: afc5ecf6b1892546cc497f0290a70333908aa388f750d614664c293f91468ee6 manager: conda - name: imageio + name: geotiff optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/imageio-2.22.0-pyhfa7a67d_0.tar.bz2 - version: 2.22.0 -- category: main - dependencies: - markupsafe: '>=2.0' - python: '>=3.7' - hash: - md5: c8490ed5c70966d232fdd389d0dbed37 - sha256: b045faba7130ab263db6a8fdc96b1a3de5fcf85c4a607c5f11a49e76851500b5 - manager: conda - name: jinja2 - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2 - version: 3.1.2 + url: https://conda.anaconda.org/conda-forge/linux-64/geotiff-1.7.1-ha76d385_4.tar.bz2 + version: 1.7.1 - category: full dependencies: attrs: '>=17.4.0' @@ -3547,14 +3382,14 @@ package: python: '>=3.7' typing_extensions: '' hash: - md5: f39774717a77d98673ea29d28a586a84 - sha256: ed3cb14323210e9b313cac99c545ea5bab53b3d545d2b7e5b3c359ee3ea8aa4e + md5: 723268a468177cd44568eb8f794e0d80 + sha256: 4f68a23430d1afc5c9b41c46fbac0ade33c0bf57a293c646bfdd6dc65350eada manager: conda name: jsonschema optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.16.0-pyhd8ed1ab_0.tar.bz2 - version: 4.16.0 + url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.17.3-pyhd8ed1ab_0.conda + version: 4.17.3 - category: full dependencies: entrypoints: '' @@ -3589,179 +3424,119 @@ package: version: 0.2.2 - category: full dependencies: - __glibc: '>=2.17,<3.0.a0' - blosc: '>=1.21.1,<2.0a0' - cfitsio: '>=4.1.0,<4.1.1.0a0' - expat: '>=2.5.0,<3.0a0' - freexl: '>=1.0.6,<2.0a0' - geos: '>=3.11.0,<3.11.1.0a0' - geotiff: '>=1.7.1,<1.8.0a0' - giflib: '>=5.2.1,<5.3.0a0' - hdf4: '>=4.2.15,<4.2.16.0a0' hdf5: '>=1.12.2,<1.12.3.0a0' - icu: '>=70.1,<71.0a0' - jpeg: '>=9e,<10a' - json-c: '>=0.16,<0.17.0a0' - kealib: '>=1.4.15,<1.5.0a0' - libdap4: '>=3.20.6,<3.20.7.0a0' libgcc-ng: '>=12' - libkml: '>=1.3.0,<1.4.0a0' - libnetcdf: '>=4.8.1,<4.8.2.0a0' - libpng: '>=1.6.38,<1.7.0a0' - libpq: '>=14.5,<15.0a0' - libspatialite: '>=5.0.1,<5.1.0a0' - libsqlite: '>=3.39.4,<4.0a0' libstdcxx-ng: '>=12' - libtiff: '>=4.4.0,<5.0a0' - libuuid: '>=2.32.1,<3.0a0' - libwebp-base: '>=1.2.4,<2.0a0' - libxml2: '>=2.10.3,<2.11.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - openjpeg: '>=2.5.0,<3.0a0' - openssl: '>=3.0.5,<4.0a0' - pcre: '>=8.45,<9.0a0' - poppler: '>=22.10.0,<22.11.0a0' - postgresql: '' - proj: '>=9.1.0,<9.1.1.0a0' - tiledb: '>=2.11.3,<2.12.0a0' - xerces-c: '>=3.2.4,<3.3.0a0' - xz: '>=5.2.6,<6.0a0' - zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 53cd504c16a3061d8b4553370be347c2 - sha256: af9c582aa0dd72480f96d604e29eb619c807a242820664f71fe6aaf7d62ca7bc + md5: c948b920f45fd81a2dde8b1ab514cc84 + sha256: 092e44e2a672c6366170d4414c41eed5cdf864f6cbc76b83be785117b8a66ed4 manager: conda - name: libgdal + name: kealib optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/libgdal-3.5.3-h27ae5c1_0.tar.bz2 - version: 3.5.3 + url: https://conda.anaconda.org/conda-forge/linux-64/kealib-1.5.0-ha7026e8_0.conda + version: 1.5.0 - category: main dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - llvmlite: '>=0.39.1,<0.40.0a0' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - setuptools: '' + mkl: '>=2022.1.0,<2023.0a0' hash: - md5: f0ada0b984905df35c1ef91d441d1a72 - sha256: 831e1be559d0b6d3663c61947f542e1b8bc3d0da4c77735e62fced55c13083c0 + md5: 85f61af03fd291dae33150ffe89dc09a + sha256: 24e656f13b402b6fceb88df386768445ab9beb657d451a8e5a88d4b3380cf7a4 manager: conda - name: numba + name: libblas optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/numba-0.56.3-py39h61ddf18_0.tar.bz2 - version: 0.56.3 -- category: main + url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-16_linux64_mkl.tar.bz2 + version: 3.9.0 +- category: full dependencies: - entrypoints: '' + bzip2: '>=1.0.8,<2.0a0' + curl: '' + hdf4: '>=4.2.15,<4.2.16.0a0' + hdf5: '>=1.12.2,<1.12.3.0a0' + jpeg: '>=9e,<10a' libgcc-ng: '>=12' libstdcxx-ng: '>=12' - msgpack-python: '' - numpy: '>=1.7' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - typing-extensions: '>=3.7.4' + libxml2: '>=2.10.3,<2.11.0a0' + libzip: '>=1.9.2,<2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: 9ca214ca5ad3f7557c1d6122f2239a00 - sha256: 2897fe250b08c16e576b078d11f911354b38573d2e70c814be86ba4771043420 + md5: 9b25de670ce5753a33c18b1090d1d3bf + sha256: 2ccb50f85e11c19479c9986065673bbf86d3e9c5d451c16507da9488e41800fa manager: conda - name: numcodecs - optional: false + name: libnetcdf + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/numcodecs-0.10.2-py39h5a03fae_0.tar.bz2 - version: 0.10.2 -- category: main - dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python-dateutil: '>=2.8.1' - python_abi: 3.9.* *_cp39 - pytz: '>=2020.1' - hash: - md5: d541bbe75ce0f2679344ead981b2f858 - sha256: 1d93baab64430dd00d9635ea60b4cdb57c285f831b047eeadfbc26e77668dc6f - manager: conda - name: pandas - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pandas-1.5.1-py39h4661b88_1.tar.bz2 - version: 1.5.1 -- category: dev - dependencies: - attrs: '>=19.2.0' - colorama: '' - exceptiongroup: '' - iniconfig: '' - packaging: '' - pluggy: '>=0.12,<2.0' - python: '>=3.8' - tomli: '>=1.0.0' - hash: - md5: ac82c7aebc282e6ac0450fca012ca78c - sha256: 854233dc2d0d64219b7e951ccf49c1f32332c6fc7085ecb62cc18bc1f4e791b0 - manager: conda - name: pytest - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.0-pyhd8ed1ab_2.tar.bz2 - version: 7.2.0 + url: https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.8.1-nompi_h261ec11_106.tar.bz2 + version: 4.8.1 - category: full dependencies: + freexl: '>=1.0.6,<2.0a0' + geos: '>=3.11.1,<3.11.2.0a0' libgcc-ng: '>=12' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + librttopo: '>=1.1.0,<1.2.0a0' + libsqlite: '>=3.39.4,<4.0a0' + libstdcxx-ng: '>=12' + libxml2: '>=2.10.3,<2.11.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + proj: '>=9.1.0,<9.1.1.0a0' + sqlite: '' + zlib: '' hash: - md5: 234ad9828eca1caf0f2fdcb4a24ad816 - sha256: 519522411fdb441a37aa8f601a5849bfca42f953bd6e4473d8434860e01f8b94 + md5: 23abed7562ad969493b89ad0e5f5c521 + sha256: ebd600fd0b4708fce8359c5c7974bf499fb70f40183732fbdf9b202766c9ed3a manager: conda - name: pywavelets + name: libspatialite optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pywavelets-1.3.0-py39h2ae25f5_2.tar.bz2 - version: 1.3.0 -- category: main + url: https://conda.anaconda.org/conda-forge/linux-64/libspatialite-5.0.1-h7c8129e_22.tar.bz2 + version: 5.0.1 +- category: full dependencies: - libblas: '>=3.9.0,<4.0a0' - libcblas: '>=3.9.0,<4.0a0' + boost-cpp: '>=1.78.0,<1.78.1.0a0' + cairo: '>=1.16.0,<2.0a0' + fontconfig: '>=2.14.1,<3.0a0' + fonts-conda-ecosystem: '' + freetype: '>=2.12.1,<3.0a0' + gettext: '>=0.21.1,<1.0a0' + jpeg: '>=9e,<10a' + lcms2: '>=2.14,<3.0a0' + libcurl: '>=7.86.0,<8.0a0' libgcc-ng: '>=12' - libgfortran-ng: '' - libgfortran5: '>=10.4.0' - liblapack: '>=3.9.0,<4.0a0' + libglib: '>=2.74.1,<3.0a0' + libiconv: '>=1.17,<2.0a0' + libpng: '>=1.6.39,<1.7.0a0' libstdcxx-ng: '>=12' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + libtiff: '>=4.4.0,<5.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + nss: '>=3.82,<4.0a0' + openjpeg: '>=2.5.0,<3.0a0' + poppler-data: '' hash: - md5: f26da935bc8e8ede63e075ffb5fa8e45 - sha256: 57799543f6c2eed75cd62791b3187f665b988b88337cd26fc68529c2b7e862b2 + md5: 7ad6d858f5615f9b0e9e4bd60395ea75 + sha256: e722d8cd8c704fb8f62db08628e3af0d2802d69f26d168c52cca50ccb4d8acc6 manager: conda - name: scipy - optional: false + name: poppler + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.9.3-py39hddc5342_1.tar.bz2 - version: 1.9.3 -- category: full + url: https://conda.anaconda.org/conda-forge/linux-64/poppler-22.12.0-h92391eb_0.conda + version: 22.12.0 +- category: dev dependencies: - geos: '>=3.11.0,<3.11.1.0a0' - libgcc-ng: '>=12' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + coverage: '>=5.2.1' + pytest: '>=4.6' + python: '>=3.6' + setuptools: '' + toml: '' hash: - md5: 9d969b4f06adee93e9cf4a62d8056cb6 - sha256: 4cbfdb8fb65a360e442d415e72580e7313b584d68255bb04730c7e4b2e259bd1 + md5: 0f7cac11bb696b62d378bde725bfc3eb + sha256: c5feac67a828f10bfa7d5e80b12e0a7c8e3b7b4886ad682aa783bc63f62477ba manager: conda - name: shapely + name: pytest-cov optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/shapely-1.8.5-py39h5b5020f_1.tar.bz2 - version: 1.8.5 + url: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-3.0.0-pyhd8ed1ab_0.tar.bz2 + version: 3.0.0 - category: full dependencies: asttokens: '' @@ -3769,42 +3544,34 @@ package: pure_eval: '' python: '>=3.5' hash: - md5: d62578a476321e761628bb3c428f07f9 - sha256: da0432671a463f59b1a644da103c586ebe690236d9a7716a9e10b1bd42b5456c + md5: e7df0fdd404616638df5ece6e69ba7af + sha256: a58433e75229bec39f3be50c02efbe9b7083e53a1f31d8ee247564f370191eec manager: conda name: stack_data optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.0-pyhd8ed1ab_0.tar.bz2 - version: 0.6.0 + url: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda + version: 0.6.2 - category: full dependencies: - __linux: '' - ptyprocess: '' - python: '>=3.7' - tornado: '>=6.1.0' + bzip2: '>=1.0.8,<2.0a0' + curl: '' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + libzlib: '>=1.2.13,<1.3.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' + openssl: '>=3.0.7,<4.0a0' + zlib: '' + zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 57127b015e2f20aa5410666c58a07d61 - sha256: 10c5c8f97ecd66c16c7af25d5b34bd9454c203d8c5175de88f3852b0065ceac3 + md5: b7009881353045d2bdae62ec0dd04bc0 + sha256: 20323a6e2d0dde70ce38041120585456bcdff45a2522acca8dd22d4a2f67c363 manager: conda - name: terminado + name: tiledb optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.0-pyh41d4057_0.tar.bz2 - version: 0.17.0 -- category: main - dependencies: - numpy: '>=1.7' - python: '' - hash: - md5: 7a6395b244b183e9e55e606e3d68e83b - sha256: 891620c6e65716efa84832458ff972037faf31a2009421ad120807dedd360402 - manager: conda - name: vectormath - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/vectormath-0.2.2-py_0.tar.bz2 - version: 0.2.2 + url: https://conda.anaconda.org/conda-forge/linux-64/tiledb-2.13.0-h3f4058f_0.conda + version: 2.13.0 - category: full dependencies: backports.functools_lru_cache: '' @@ -3818,19 +3585,6 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.5-pyh9f0ad1d_2.tar.bz2 version: 0.2.5 -- category: full - dependencies: - markupsafe: '>=2.1.1' - python: '>=3.7' - hash: - md5: 8e69568592e552919201f730b01a58c2 - sha256: 3bb3d6a98f9e3c6081166d81368e4a0e48fdbfe19e683a957ac344b063c42412 - manager: conda - name: werkzeug - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/werkzeug-2.2.2-pyhd8ed1ab_0.tar.bz2 - version: 2.2.2 - category: full dependencies: argon2-cffi-bindings: '' @@ -3845,100 +3599,98 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-21.3.0-pyhd8ed1ab_0.tar.bz2 version: 21.3.0 -- category: main +- category: full dependencies: - libgcc-ng: '>=10.3.0' - libstdcxx-ng: '>=10.3.0' - numpy: '>=1.19.5,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - scipy: '>=0.13' + brotli-python: '' + flask: '' + python: '>=2.7|>=3.6' hash: - md5: 6e885cf316cc3dcb45f1501fd7179a90 - sha256: 9103819962f24086e0349dae1c0f62738b0a5cc003d714bbb8c500e5c5fce72c + md5: 19a84270d30c5a0dd10780e3d510e33d + sha256: 75d326f0b12aef8f35080f5a5e2ef26066afcb60e3da765a9a5f4349572acd3b manager: conda - name: discretize - optional: false + name: flask-compress + optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/discretize-0.7.4-py39hac2352c_0.tar.bz2 - version: 0.7.4 + url: https://conda.anaconda.org/conda-forge/noarch/flask-compress-1.13-pyhd8ed1ab_0.tar.bz2 + version: '1.13' - category: main dependencies: - numba: '>=0.47' - python: '>=3.7' - scipy: '>=1.4.0' + libblas: 3.9.0 16_linux64_mkl hash: - md5: df7965121f7c2d03a9f444e5307a6550 - sha256: d01a52b5aa35962f6d160be459a4c2859079a0212b518ccaeaa2bc4a69a9568c + md5: 361bf757b95488de76c4f123805742d3 + sha256: 892ba10508f22310ccfe748df1fd3b6c7f20e7b6f6b79e69ed337863551c1bd8 manager: conda - name: empymod + name: libcblas optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/empymod-2.2.1-pyhd8ed1ab_0.tar.bz2 - version: 2.2.1 -- category: full - dependencies: - click: '>=8.0' - importlib-metadata: '>=3.6.0' - itsdangerous: '>=2.0' - jinja2: '>=3.0' - python: '>=3.7' - werkzeug: '>=2.2.2' - hash: - md5: 85fad4c7889dd969ed4c02cf63cfe9c5 - sha256: e047c40122dc3fd53c534924271e9635d3dbf5ba606ccd2bd7f7c70b63697037 - manager: conda - name: flask - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/flask-2.2.2-pyhd8ed1ab_0.tar.bz2 - version: 2.2.2 + url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-16_linux64_mkl.tar.bz2 + version: 3.9.0 - category: full dependencies: + __glibc: '>=2.17,<3.0.a0' + blosc: '>=1.21.2,<2.0a0' + cfitsio: '>=4.2.0,<4.2.1.0a0' + expat: '>=2.5.0,<3.0a0' + freexl: '>=1.0.6,<2.0a0' + geos: '>=3.11.1,<3.11.2.0a0' + geotiff: '>=1.7.1,<1.8.0a0' + giflib: '>=5.2.1,<5.3.0a0' + hdf4: '>=4.2.15,<4.2.16.0a0' hdf5: '>=1.12.2,<1.12.3.0a0' + icu: '>=70.1,<71.0a0' + jpeg: '>=9e,<10a' + json-c: '>=0.16,<0.17.0a0' + kealib: '>=1.5.0,<1.6.0a0' + lerc: '>=4.0.0,<5.0a0' + libcurl: '>=7.86.0,<8.0a0' + libdeflate: '>=1.14,<1.15.0a0' libgcc-ng: '>=12' - libgdal: 3.5.3 h27ae5c1_0 + libiconv: '>=1.17,<2.0a0' + libkml: '>=1.3.0,<1.4.0a0' + libnetcdf: '>=4.8.1,<4.8.2.0a0' + libpng: '>=1.6.39,<1.7.0a0' + libpq: '>=15.1,<16.0a0' + libspatialite: '>=5.0.1,<5.1.0a0' + libsqlite: '>=3.40.0,<4.0a0' libstdcxx-ng: '>=12' - numpy: '>=1.20.3,<2.0a0' - openssl: '>=3.0.5,<4.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + libtiff: '>=4.4.0,<5.0a0' + libuuid: '>=2.32.1,<3.0a0' + libwebp-base: '>=1.2.4,<2.0a0' + libxml2: '>=2.10.3,<2.11.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' + openjpeg: '>=2.5.0,<3.0a0' + openssl: '>=3.0.7,<4.0a0' + pcre2: '>=10.40,<10.41.0a0' + poppler: '>=22.12.0,<22.13.0a0' + postgresql: '' + proj: '>=9.1.0,<9.1.1.0a0' + qhull: '>=2020.2,<2020.3.0a0' + tiledb: '>=2.13.0,<2.14.0a0' + xerces-c: '>=3.2.4,<3.3.0a0' + xz: '>=5.2.6,<6.0a0' + zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 1257b8cc9edd9ff933a7bf9e64570118 - sha256: 26a523c663790eaa3070ad0d8f1fc014b598310bbc7fbdb09734d1c3abf2bd69 + md5: 8e42639e5b6979328d67df14f261dbc4 + sha256: 9d43e4be52298be4c7c21ed7469469c9424580bf0c8b82ad952fcc8cb0b12233 manager: conda - name: gdal + name: libgdal optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/gdal-3.5.3-py39h5cb30a4_0.tar.bz2 - version: 3.5.3 + url: https://conda.anaconda.org/conda-forge/linux-64/libgdal-3.6.0-h4fca5ce_14.conda + version: 3.6.0 - category: main dependencies: - certifi: '>=2020.06.20' - contourpy: '>=1.0.1' - cycler: '>=0.10' - fonttools: '>=4.22.0' - freetype: '>=2.12.1,<3.0a0' - kiwisolver: '>=1.0.1' - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - numpy: '>=1.20.3,<2.0a0' - packaging: '>=20.0' - pillow: '>=6.2.0' - pyparsing: '>=2.2.1' - python: '>=3.9,<3.10.0a0' - python-dateutil: '>=2.7' - python_abi: 3.9.* *_cp39 - tk: '>=8.6.12,<8.7.0a0' + libblas: 3.9.0 16_linux64_mkl hash: - md5: f8d7b01f5cc777cbd671e86c530deba9 - sha256: 6109fd5ac98b69a36a1a717552bce3081fece727306076dc7c716409ae21ef3b + md5: a2f166748917d6d6e4707841ca1f519e + sha256: d6201f860b2d76ed59027e69c2bbad6d1cb211a215ec9705cc487cde488fa1fa manager: conda - name: matplotlib-base + name: liblapack optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.6.1-py39hf9fd14e_1.tar.bz2 - version: 3.6.1 + url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-16_linux64_mkl.tar.bz2 + version: 3.9.0 - category: full dependencies: importlib-metadata: '>=3.6' @@ -3961,49 +3713,17 @@ package: python: '>=3.6' wcwidth: '' hash: - md5: 94fee21afe199936bc361608e537cd11 - sha256: 4fadebeef8ff5441e7181cee7b580c69362b3226e41b77ae753226c11b2895bb + md5: 4d79ec192e0bfd530a254006d123b9a6 + sha256: 6bd3626799c9467d7aa8ed5f95043e4cea614a1329580980ddcf40cfed3ee860 manager: conda name: prompt-toolkit optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.31-pyha770c72_0.tar.bz2 - version: 3.0.31 -- category: main + url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.36-pyha770c72_0.conda + version: 3.0.36 +- category: dev dependencies: - numpy: '>=1.7' - python: '' - six: '' - vectormath: '>=0.1.4' - hash: - md5: 62052fa8409d12536ff149e25b0e9905 - sha256: 693596b821b28f8d9710e80a143816e55fc401b8cd2f0b0d777f5155bd3358f2 - manager: conda - name: properties - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/properties-0.6.1-py_0.tar.bz2 - version: 0.6.1 -- category: main - dependencies: - libgcc-ng: '>=12' - mkl: '>=2022.1.0,<2023.0a0' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - scipy: '>=0.13' - hash: - md5: e39f58c96cb2d15abf86c73b73c280a8 - sha256: e29addcede74fc759ef484900f2796a2cec5accca93a184317d26676dea8c410 - manager: conda - name: pydiso - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/pydiso-0.0.3-py39h051f8f4_4.tar.bz2 - version: 0.0.3 -- category: dev - dependencies: - astroid: '>=2.12.12,<2.14.0-dev0' + astroid: '>=2.12.13,<2.14.0-dev0' colorama: '>=0.4.5' dill: '>=0.2' isort: '>=4.2.5,<6' @@ -4014,14 +3734,14 @@ package: tomlkit: '>=0.10.1' typing_extensions: '>=3.10.0' hash: - md5: 20a795c6e8abea62d460bae344df462b - sha256: f9b6f6daf05c28d241ba327e8999bac327a1e7f0bc8bd115e45abcb71901bee5 + md5: 26a62404bbfc93452c4d22aa2cda6f08 + sha256: 852e6a99ec31358324943ade205b0320ca25ba2d594ba215b3e34dee3f16fcae manager: conda name: pylint optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/pylint-2.15.5-pyhd8ed1ab_0.tar.bz2 - version: 2.15.5 + url: https://conda.anaconda.org/conda-forge/noarch/pylint-2.15.8-pyhd8ed1ab_0.conda + version: 2.15.8 - category: main dependencies: cryptography: '>=38.0.0,<39' @@ -4035,212 +3755,80 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-22.1.0-pyhd8ed1ab_0.tar.bz2 version: 22.1.0 -- category: dev - dependencies: - coverage: '>=5.2.1' - pytest: '>=4.6' - python: '>=3.6' - setuptools: '' - toml: '' - hash: - md5: 0f7cac11bb696b62d378bde725bfc3eb - sha256: c5feac67a828f10bfa7d5e80b12e0a7c8e3b7b4886ad682aa783bc63f62477ba - manager: conda - name: pytest-cov - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-3.0.0-pyhd8ed1ab_0.tar.bz2 - version: 3.0.0 -- category: main - dependencies: - joblib: '>=1.0.0' - libcblas: '>=3.9.0,<4.0a0' - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - scipy: '' - threadpoolctl: '>=2.0.0' - hash: - md5: e0753b1949134a2d7ccf2be7bbc9f7d0 - sha256: 1dcab2772c8e37fcfdd7bb9532d0b8b55e7411fe0b7b1a91210d73d14c3f5d31 - manager: conda - name: scikit-learn - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.1.3-py39hd5c8da3_1.tar.bz2 - version: 1.1.3 -- category: full - dependencies: - imagecodecs: '>=2021.11.20' - numpy: '>=1.19.2' - python: '>=3.8' - hash: - md5: 1c126ff5b4643785bbc16e44e6327e41 - sha256: 85153fe85b205e01f62fcfddcc47c2c6a8cb6062d4e0e73e0a0a71f01a984f33 - manager: conda - name: tifffile - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2022.10.10-pyhd8ed1ab_0.tar.bz2 - version: 2022.10.10 -- category: main - dependencies: - asciitree: '' - fasteners: '' - numcodecs: '>=0.10.0' - numpy: '>=1.7' - python: '>=3.5' - hash: - md5: 7e212240cf03e35a6b3201010a1a1e12 - sha256: 522e72b5f4f1d49d73bdd7fc92a4e51efe86910460577646f553905969d11550 - manager: conda - name: zarr - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/zarr-2.13.3-pyhd8ed1ab_0.tar.bz2 - version: 2.13.3 - category: full dependencies: - attrs: '>=17' - click: '>=4.0' - click-plugins: '>=1.0' - cligj: '>=0.5' - gdal: '' - libgcc-ng: '>=12' - libgdal: '>=3.5.3,<3.6.0a0' - libstdcxx-ng: '>=12' - munch: '' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + flask: '>=1.0.4' + flask-compress: '' + plotly: '>=5.0.0' + python: '>=3.6' setuptools: '' - shapely: '' - six: '>=1.7' - hash: - md5: 7f498933bbd818822b2c3c656b6d47ce - sha256: bbede091b008a2bc75c3301ef60a92a5f65500f1905b5088678b787101fce8df - manager: conda - name: fiona - optional: true - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/fiona-1.8.22-py39h80939cc_1.tar.bz2 - version: 1.8.22 -- category: full - dependencies: - brotli-python: '' - flask: '' - python: '>=2.7|>=3.6' hash: - md5: 19a84270d30c5a0dd10780e3d510e33d - sha256: 75d326f0b12aef8f35080f5a5e2ef26066afcb60e3da765a9a5f4349572acd3b + md5: a610529f1cc80da3ffda41228bc9d2c5 + sha256: 93d759dd4c218271712a0f7d40be57ed32766fde472b3b13469a215671b14178 manager: conda - name: flask-compress + name: dash optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/flask-compress-1.13-pyhd8ed1ab_0.tar.bz2 - version: '1.13' -- category: main - dependencies: - future: '' - matplotlib-base: '' - numpy: '>=1.7' - properties: '' - python: '' - scipy: '>=0.13' - utm: '' - vectormath: '' - hash: - md5: 940c153c790eec5801d26ad7115d69bf - sha256: 6ef4cb86ab786166d39b6a55f2b5b9027f298d4aa7ba676d587b31cf80053ae5 - manager: conda - name: geoana - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/geoana-0.0.6-py_1.tar.bz2 - version: 0.0.6 + url: https://conda.anaconda.org/conda-forge/noarch/dash-2.7.1-pyhd8ed1ab_0.conda + version: 2.7.1 - category: full dependencies: __linux: '' + _ipython_minor_entry_point: 8.7.0.* backcall: '' decorator: '' jedi: '>=0.16' matplotlib-inline: '' pexpect: '>4.3' pickleshare: '' - prompt-toolkit: '>3.0.1,<3.1.0' + prompt-toolkit: '>=3.0.11,<3.1.0' pygments: '>=2.4.0' python: '>=3.8' stack_data: '' traitlets: '>=5' hash: - md5: 1450d70c7a31f515354f47d8d8faae78 - sha256: e417c9064fac8d254b0fba28bb897be5d68dc678bc8d9224b23e1bc00d7802de + md5: adc2f96edf35423c091dba93b642573a + sha256: 206db23530d25907c1fc7d28f6a5ed790348cfaf3eef14186d496f906a1c61ea manager: conda name: ipython optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.6.0-pyh41d4057_1.tar.bz2 - version: 8.6.0 + url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.7.0-pyh41d4057_0.conda + version: 8.7.0 - category: full dependencies: - jupyter_client: '>=6.1.5' - nbformat: '>=5.0' - nest-asyncio: '' + jupyter_client: '>=6.1.12' + jupyter_core: '>=4.12,!=5.0.*' + nbformat: '>=5.1' python: '>=3.7' - traitlets: '>=5.2.2' + traitlets: '>=5.3' hash: - md5: 87eed34d791330d8acdab6a8ab63113f - sha256: ef28a3c4e3a218ae48b1e7a24ec7a8bb4f6da0096135d1155a5a5cc71393aaf4 + md5: 6c7b0d75b66a220274bb5a28c23197f2 + sha256: 400cba87afda16d91c4fab133ed72b37ab0aa6592de61d4d5dd29dc026832a4f manager: conda name: nbclient optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.0-pyhd8ed1ab_0.tar.bz2 - version: 0.7.0 + url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.2-pyhd8ed1ab_0.conda + version: 0.7.2 - category: main dependencies: - numpy: '' - pydiso: '' - python: '>=3.6' - scipy: '' - hash: - md5: d824e3266c690c6b8c662cf19fa62b3f - sha256: e1d39044c41541a09ba846c51c2ba315858622dfb4e7eaebcb0823316159fab8 - manager: conda - name: pymatsolver - optional: false - platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/pymatsolver-0.2.0-pyhd8ed1ab_0.tar.bz2 - version: 0.2.0 -- category: full - dependencies: - cloudpickle: '>=0.2.1' - cytoolz: '>=0.7.3' - dask-core: '>=1.0.0,!=2.17.0' - imageio: '>=2.3.0' + libblas: '>=3.9.0,<4.0a0' + libcblas: '>=3.9.0,<4.0a0' libgcc-ng: '>=12' + liblapack: '>=3.9.0,<4.0a0' libstdcxx-ng: '>=12' - networkx: '>=2.2' - numpy: '>=1.20.3,<2.0a0' - packaging: '>=20.0' - pillow: '>=6.1.0,!=7.1.0,!=7.1.1,!=8.3.0' python: '>=3.9,<3.10.0a0' python_abi: 3.9.* *_cp39 - pywavelets: '>=1.1.1' - scipy: '>=1.4.1' - tifffile: '>=2019.7.26' - toolz: '>=0.7.3' hash: - md5: a8d53b12aedcd84107ba8c85c81be56f - sha256: b24a19e5a5d78335288b480fd1da021756ba37c832f9ce6be0a7246e4e2aac0e + md5: ea5d332e361eb72c2593cf79559bc0ec + sha256: ab8c088aa07adfed0ec39ca53541b09cdf13538d7f96086f60b784cdb7ee1ff0 manager: conda - name: scikit-image - optional: true + name: numpy + optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/linux-64/scikit-image-0.19.3-py39h4661b88_2.tar.bz2 - version: 0.19.3 + url: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.23.5-py39h3d75532_0.conda + version: 1.23.5 - category: main dependencies: brotlipy: '>=0.6.0' @@ -4251,30 +3839,43 @@ package: pysocks: '>=1.5.6,<2.0,!=1.5.7' python: <4.0 hash: - md5: 0738978569b10669bdef41c671252dd1 - sha256: 57a823b83428156aa2bc18f34159a744657c9bd117a125ca4559b0518a2e4fa2 + md5: 3078ef2359efd6ecadbc7e085c5e0592 + sha256: 992f2d6ca50c98f865a4f2e4bada23f950e39f33ff7c64614a31ee152ec4d5ae manager: conda name: urllib3 optional: false platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.11-pyhd8ed1ab_0.tar.bz2 - version: 1.26.11 + url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.13-pyhd8ed1ab_0.conda + version: 1.26.13 +- category: main + dependencies: + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + numpy: '>=1.16' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: fb3f77fe25042c20c51974fcfe72f797 + sha256: 98836c1f9a91c7d18b3f70956602c825c0c70db29dd9a353d294ff801866aa40 + manager: conda + name: contourpy + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.0.6-py39hf939315_0.tar.bz2 + version: 1.0.6 - category: full dependencies: - flask: '>=1.0.4' - flask-compress: '' - plotly: '>=5.0.0' - python: '>=3.6' - setuptools: '' + dash: '>=1.6.1' + python: '' hash: - md5: 08473f0b4d35533dec6cf77149dcecbc - sha256: 3bb47d32349addf8be7f939700b9b4c1d1548a794389dd3b1217a0003a9f15a1 + md5: ebd54a61606fa8a191932cb72e448418 + sha256: 5e99ab8b5cac15e5d6986a90566a335c21b2849838a6e877bec79efa2e7e346f manager: conda - name: dash + name: dash-daq optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/dash-2.6.2-pyhd8ed1ab_0.tar.bz2 - version: 2.6.2 + url: https://conda.anaconda.org/conda-forge/noarch/dash-daq-0.5.0-pyh9f0ad1d_1.tar.bz2 + version: 0.5.0 - category: main dependencies: click: '>=6.6' @@ -4305,36 +3906,131 @@ package: version: 2022.10.0 - category: full dependencies: - __linux: '' - debugpy: '>=1.0' - ipython: '>=7.23.1' - jupyter_client: '>=6.1.12' - matplotlib-inline: '>=0.1' - nest-asyncio: '' - packaging: '' - psutil: '' - python: '>=3.8' - pyzmq: '>=17' - tornado: '>=6.1' - traitlets: '>=5.1.0' + hdf5: '>=1.12.2,<1.12.3.0a0' + libgcc-ng: '>=12' + libgdal: 3.6.0 h4fca5ce_14 + libstdcxx-ng: '>=12' + numpy: '>=1.20.3,<2.0a0' + openssl: '>=3.0.7,<4.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 hash: - md5: f58ba3ca7c43058083bd9dadc65ef73b - sha256: a039cdb7922237e90cef18b977c2af193b84801d2c3d159821b050358cc0a295 + md5: ab4fcb29e2f4d83edde844dca31abb71 + sha256: c6948bc507c1964fcf22cd8ee5546db01dd54df81879225120dd68a44d17935d manager: conda - name: ipykernel + name: gdal optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.17.0-pyh210e3f2_0.tar.bz2 - version: 6.17.0 + url: https://conda.anaconda.org/conda-forge/linux-64/gdal-3.6.0-py39hc6cd174_14.conda + version: 3.6.0 +- category: main + dependencies: + cached-property: '' + hdf5: '>=1.12.2,<1.12.3.0a0' + libgcc-ng: '>=12' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: fd439e2a36d79b2855827df5ef4c4d32 + sha256: bc4a84a42d3e2c358a40093b45d7a28e8000e4253353496e6d35e804ad01a36e + manager: conda + name: h5py + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.7.0-nompi_py39h817c9c5_102.tar.bz2 + version: 3.7.0 - category: full dependencies: - beautifulsoup4: '' - bleach: '' - defusedxml: '' - entrypoints: '>=0.2.2' - jinja2: '>=3.0' - jupyter_core: '>=4.7' - jupyterlab_pygments: '' + blosc: '>=1.21.1,<2.0a0' + brunsli: '>=0.1,<1.0a0' + bzip2: '>=1.0.8,<2.0a0' + c-blosc2: '>=2.4.3,<3.0a0' + cfitsio: '>=4.2.0,<4.2.1.0a0' + charls: '>=2.3.4,<2.4.0a0' + giflib: '>=5.2.1,<5.3.0a0' + jpeg: '>=9e,<10a' + jxrlib: '>=1.1,<1.2.0a0' + lcms2: '>=2.14,<3.0a0' + lerc: '>=4.0.0,<5.0a0' + libaec: '>=1.0.6,<2.0a0' + libavif: '>=0.11.1,<0.11.2.0a0' + libbrotlicommon: '>=1.0.9,<1.1.0a0' + libbrotlidec: '>=1.0.9,<1.1.0a0' + libbrotlienc: '>=1.0.9,<1.1.0a0' + libdeflate: '>=1.14,<1.15.0a0' + libgcc-ng: '>=12' + libpng: '>=1.6.38,<1.7.0a0' + libstdcxx-ng: '>=12' + libtiff: '>=4.4.0,<5.0a0' + libwebp-base: '>=1.2.4,<2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + libzopfli: '>=1.0.3,<1.1.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' + numpy: '>=1.20.3,<2.0a0' + openjpeg: '>=2.5.0,<3.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + snappy: '>=1.1.9,<2.0a0' + xz: '>=5.2.6,<6.0a0' + zfp: '>=1.0.0,<2.0a0' + zstd: '>=1.5.2,<1.6.0a0' + hash: + md5: 4bdbe7db90f8c77efb9eb8ef6417343d + sha256: 83321a681a6469a1e867d1bcd3473a0936d0290c08cd318808a49388c2adc091 + manager: conda + name: imagecodecs + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/imagecodecs-2022.9.26-py39hf32c164_4.conda + version: 2022.9.26 +- category: full + dependencies: + numpy: '' + pillow: '>=8.3.2' + python: '>=3' + hash: + md5: 4fef7788eaed184136c627a8c5feced6 + sha256: c1a49325a3208a875bc5d2ab2d866c820a60a0c6561c4efe796ad78e10085123 + manager: conda + name: imageio + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/imageio-2.22.4-pyhfa7a67d_1.conda + version: 2.22.4 +- category: full + dependencies: + __linux: '' + comm: '>=0.1' + debugpy: '>=1.0' + ipython: '>=7.23.1' + jupyter_client: '>=6.1.12' + matplotlib-inline: '>=0.1' + nest-asyncio: '' + packaging: '' + psutil: '' + python: '>=3.8' + pyzmq: '>=17' + tornado: '>=6.1' + traitlets: '>=5.1.0' + hash: + md5: fac8e302e83b809e6d25a396f0e156c7 + sha256: 4504a2d2bf86d173bc83d4d545ccf3fa7197110a0f113dc423645ba117b4b6d7 + manager: conda + name: ipykernel + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.19.2-pyh210e3f2_0.conda + version: 6.19.2 +- category: full + dependencies: + beautifulsoup4: '' + bleach: '' + defusedxml: '' + entrypoints: '>=0.2.2' + jinja2: '>=3.0' + jupyter_core: '>=4.7' + jupyterlab_pygments: '' markupsafe: '>=2.0' mistune: '>=2.0.3,<3' nbclient: '>=0.5.0' @@ -4346,14 +4042,84 @@ package: tinycss2: '' traitlets: '>=5.0' hash: - md5: fa00f301fe82fe2b260f58789440587b - sha256: fd5f7512edd5b13d0aa09be9bf1336de433886fdf94bf668220e3e74b36ac3f7 + md5: d222e8861fa78999b66ae7fa14710c1c + sha256: b40fdc7bacaff6b926af36e622654850ebd8e03786c62a1a38a38fd42a51d60a manager: conda name: nbconvert-core optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 +- category: main + dependencies: + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + llvmlite: '>=0.39.1,<0.40.0a0' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + setuptools: '' + hash: + md5: 5f91d97e7a4853a301064401d7283aaf + sha256: a7a2a19393b8ac2ed4208cc989facf47e1629ea245a66d0b93d7ad11c9d1f961 + manager: conda + name: numba + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/numba-0.56.4-py39h61ddf18_0.conda + version: 0.56.4 +- category: main + dependencies: + entrypoints: '' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + msgpack-python: '' + numpy: '>=1.7' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + typing-extensions: '>=3.7.4' + hash: + md5: 9ca214ca5ad3f7557c1d6122f2239a00 + sha256: 2897fe250b08c16e576b078d11f911354b38573d2e70c814be86ba4771043420 + manager: conda + name: numcodecs + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/numcodecs-0.10.2-py39h5a03fae_0.tar.bz2 + version: 0.10.2 +- category: main + dependencies: + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python-dateutil: '>=2.8.1' + python_abi: 3.9.* *_cp39 + pytz: '>=2020.1' + hash: + md5: e17e50269c268d79478956a262a9fe13 + sha256: 8e35d5505e7f062f38b3147ae3db30d9dfdb3c160c065c876cdae9638fd38b15 + manager: conda + name: pandas + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/pandas-1.5.2-py39h4661b88_0.conda + version: 1.5.2 +- category: full + dependencies: + libgcc-ng: '>=12' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: 234ad9828eca1caf0f2fdcb4a24ad816 + sha256: 519522411fdb441a37aa8f601a5849bfca42f953bd6e4473d8434860e01f8b94 + manager: conda + name: pywavelets + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/pywavelets-1.3.0-py39h2ae25f5_2.tar.bz2 + version: 1.3.0 - category: dev dependencies: certifi: '>=2017.4.17' @@ -4370,19 +4136,113 @@ package: platform: linux-64 url: https://conda.anaconda.org/conda-forge/noarch/requests-2.28.1-pyhd8ed1ab_1.tar.bz2 version: 2.28.1 +- category: main + dependencies: + libblas: '>=3.9.0,<4.0a0' + libcblas: '>=3.9.0,<4.0a0' + libgcc-ng: '>=12' + libgfortran-ng: '' + libgfortran5: '>=10.4.0' + liblapack: '>=3.9.0,<4.0a0' + libstdcxx-ng: '>=12' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: 0615ac8191c6ccf7d40860aff645f774 + sha256: 9d7ca66db59509539621a42c6b7061307e4a6e1a9960ffe2f39a947b1fa7a4b9 + manager: conda + name: scipy + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.9.3-py39hddc5342_2.tar.bz2 + version: 1.9.3 - category: full dependencies: - dash: '>=1.6.1' + geos: '>=3.11.1,<3.11.2.0a0' + libgcc-ng: '>=12' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: 735b335f9250d84a5da94ffb76692db8 + sha256: a0707cc74465fab7c83677380f39c4689b637114e40e8abe37308f683366245f + manager: conda + name: shapely + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.0-py39hc9151fd_0.conda + version: 2.0.0 +- category: main + dependencies: + numpy: '>=1.7' python: '' hash: - md5: ebd54a61606fa8a191932cb72e448418 - sha256: 5e99ab8b5cac15e5d6986a90566a335c21b2849838a6e877bec79efa2e7e346f + md5: 7a6395b244b183e9e55e606e3d68e83b + sha256: 891620c6e65716efa84832458ff972037faf31a2009421ad120807dedd360402 manager: conda - name: dash-daq + name: vectormath + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/vectormath-0.2.2-py_0.tar.bz2 + version: 0.2.2 +- category: main + dependencies: + libgcc-ng: '>=10.3.0' + libstdcxx-ng: '>=10.3.0' + numpy: '>=1.19.5,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + scipy: '>=0.13' + hash: + md5: 6e885cf316cc3dcb45f1501fd7179a90 + sha256: 9103819962f24086e0349dae1c0f62738b0a5cc003d714bbb8c500e5c5fce72c + manager: conda + name: discretize + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/discretize-0.7.4-py39hac2352c_0.tar.bz2 + version: 0.7.4 +- category: main + dependencies: + numba: '>=0.47' + python: '>=3.7' + scipy: '>=1.4.0' + hash: + md5: df7965121f7c2d03a9f444e5307a6550 + sha256: d01a52b5aa35962f6d160be459a4c2859079a0212b518ccaeaa2bc4a69a9568c + manager: conda + name: empymod + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/empymod-2.2.1-pyhd8ed1ab_0.tar.bz2 + version: 2.2.1 +- category: full + dependencies: + attrs: '>=17' + click: '>=4.0' + click-plugins: '>=1.0' + cligj: '>=0.5' + gdal: '' + libgcc-ng: '>=12' + libgdal: '>=3.6.0,<3.7.0a0' + libstdcxx-ng: '>=12' + munch: '' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + setuptools: '' + shapely: '' + six: '>=1.7' + hash: + md5: 7c6e10431252c908952a1415fd528460 + sha256: e1601f9109043aae34f0136b5adb2ef49c730e6a867d1db97af8caf35b102cbd + manager: conda + name: fiona optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/dash-daq-0.5.0-pyh9f0ad1d_1.tar.bz2 - version: 0.5.0 + url: https://conda.anaconda.org/conda-forge/linux-64/fiona-1.8.22-py39hbc5ff6d_3.conda + version: 1.8.22 - category: full dependencies: ansi2html: '' @@ -4422,55 +4282,225 @@ package: traitlets: '>=5.1.0' websocket-client: '' hash: - md5: 81f31b184703349ea7280c49ca4b5b4e - sha256: b14fe42d7eab0cefe9140b2e21ab139a408c5f4b3b7ba9cfdd438ff3ed17490d + md5: c497ada2dbcb07e6912756f4ea709f65 + sha256: 125d721aa32f00c33078e8b5e0d76b5333e65afccd5631970e57eaadb9ab8858 manager: conda name: jupyter_server optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.21.0-pyhd8ed1ab_0.tar.bz2 - version: 1.21.0 + url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.23.3-pyhd8ed1ab_0.conda + version: 1.23.3 +- category: main + dependencies: + certifi: '>=2020.06.20' + contourpy: '>=1.0.1' + cycler: '>=0.10' + fonttools: '>=4.22.0' + freetype: '>=2.12.1,<3.0a0' + kiwisolver: '>=1.0.1' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + numpy: '>=1.20.3,<2.0a0' + packaging: '>=20.0' + pillow: '>=6.2.0' + pyparsing: '>=2.3.1' + python: '>=3.9,<3.10.0a0' + python-dateutil: '>=2.7' + python_abi: 3.9.* *_cp39 + tk: '>=8.6.12,<8.7.0a0' + hash: + md5: 78ce32061e0be12deb8e0f11ffb76906 + sha256: f41f4d8a3186d56818c998fb5add478a37a4a7b585ba800ca335cdc0ff7d0036 + manager: conda + name: matplotlib-base + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.6.2-py39hf9fd14e_0.tar.bz2 + version: 3.6.2 - category: full dependencies: - nbconvert-core: 7.2.3 pyhd8ed1ab_0 + nbconvert-core: 7.2.6 pyhd8ed1ab_0 pandoc: '' python: '>=3.7' hash: - md5: 895c58bc1aa507933ad2ed9759682d9f - sha256: 5f7f9a907a1897fbe2139b176650b780d738e4b2dd5daac03bfdd6b957be2ffa + md5: c75ece5b10744eb2db7e9faaa02e25eb + sha256: 51a768efc97c48b2d768a53d2c100253d04446d4feff037dd95bb5e37c778a86 manager: conda name: nbconvert-pandoc optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 +- category: main + dependencies: + numpy: '>=1.7' + python: '' + six: '' + vectormath: '>=0.1.4' + hash: + md5: 62052fa8409d12536ff149e25b0e9905 + sha256: 693596b821b28f8d9710e80a143816e55fc401b8cd2f0b0d777f5155bd3358f2 + manager: conda + name: properties + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/properties-0.6.1-py_0.tar.bz2 + version: 0.6.1 +- category: main + dependencies: + libgcc-ng: '>=12' + mkl: '>=2022.1.0,<2023.0a0' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + scipy: '>=0.13' + hash: + md5: e39f58c96cb2d15abf86c73b73c280a8 + sha256: e29addcede74fc759ef484900f2796a2cec5accca93a184317d26676dea8c410 + manager: conda + name: pydiso + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/pydiso-0.0.3-py39h051f8f4_4.tar.bz2 + version: 0.0.3 +- category: main + dependencies: + joblib: '>=1.1.1' + libcblas: '>=3.9.0,<4.0a0' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + scipy: '' + threadpoolctl: '>=2.0.0' + hash: + md5: ff6d645bb941f01553eb2f4a2cf17636 + sha256: 95338bf31ac60532dca303e9b2828eaa0a01d46744fe83395b4ea2a691d92893 + manager: conda + name: scikit-learn + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.2.0-py39h86b2a18_0.conda + version: 1.2.0 +- category: full + dependencies: + imagecodecs: '>=2021.11.20' + numpy: '>=1.19.2' + python: '>=3.8' + hash: + md5: 1c126ff5b4643785bbc16e44e6327e41 + sha256: 85153fe85b205e01f62fcfddcc47c2c6a8cb6062d4e0e73e0a0a71f01a984f33 + manager: conda + name: tifffile + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2022.10.10-pyhd8ed1ab_0.tar.bz2 + version: 2022.10.10 +- category: main + dependencies: + asciitree: '' + fasteners: '' + numcodecs: '>=0.10.0' + numpy: '>=1.7' + python: '>=3.5' + hash: + md5: 7e212240cf03e35a6b3201010a1a1e12 + sha256: 522e72b5f4f1d49d73bdd7fc92a4e51efe86910460577646f553905969d11550 + manager: conda + name: zarr + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/zarr-2.13.3-pyhd8ed1ab_0.tar.bz2 + version: 2.13.3 +- category: main + dependencies: + future: '' + matplotlib-base: '' + numpy: '>=1.7' + properties: '' + python: '' + scipy: '>=0.13' + utm: '' + vectormath: '' + hash: + md5: 940c153c790eec5801d26ad7115d69bf + sha256: 6ef4cb86ab786166d39b6a55f2b5b9027f298d4aa7ba676d587b31cf80053ae5 + manager: conda + name: geoana + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/geoana-0.0.6-py_1.tar.bz2 + version: 0.0.6 - category: full dependencies: - nbconvert-core: 7.2.3 pyhd8ed1ab_0 - nbconvert-pandoc: 7.2.3 pyhd8ed1ab_0 + nbconvert-core: 7.2.6 pyhd8ed1ab_0 + nbconvert-pandoc: 7.2.6 pyhd8ed1ab_0 python: '>=3.7' hash: - md5: 7c1dbb2baf7c43c56fe1940a721f2678 - sha256: 207c88766cf465ce4f4a56e4439c83236a987fd737e4e83a9866f32b6e98747c + md5: cad325a4f09969426cd099d5c9f689f5 + sha256: b428afd52bcf4f395a423293c93f89c97fa71f03b019dc799542d45f429f9b7b manager: conda name: nbconvert optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 - category: full dependencies: jupyter_server: '>=1.8,<3' python: '>=3.7' hash: - md5: 45b287252fd17eccb002676623ba859c - sha256: c37fb11cdb79ec121948a3bd1bda4a6ad61e4d17cc78d9b6f845eb0680823277 + md5: 40be846cd4e78672a40e43db9dae753c + sha256: d798a6a1938e3efa1562d3477a0337720ce07ef571c8b0255d80089f285eaf8a manager: conda name: notebook-shim optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.0-pyhd8ed1ab_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.2-pyhd8ed1ab_0.tar.bz2 + version: 0.2.2 +- category: main + dependencies: + numpy: '' + pydiso: '' + python: '>=3.6' + scipy: '' + hash: + md5: d824e3266c690c6b8c662cf19fa62b3f + sha256: e1d39044c41541a09ba846c51c2ba315858622dfb4e7eaebcb0823316159fab8 + manager: conda + name: pymatsolver + optional: false + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/noarch/pymatsolver-0.2.0-pyhd8ed1ab_0.tar.bz2 version: 0.2.0 +- category: full + dependencies: + cloudpickle: '>=0.2.1' + cytoolz: '>=0.7.3' + dask-core: '>=1.0.0,!=2.17.0' + imageio: '>=2.3.0' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + networkx: '>=2.2' + numpy: '>=1.20.3,<2.0a0' + packaging: '>=20.0' + pillow: '>=6.1.0,!=7.1.0,!=7.1.1,!=8.3.0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + pywavelets: '>=1.1.1' + scipy: '>=1.4.1' + tifffile: '>=2019.7.26' + toolz: '>=0.7.3' + hash: + md5: a8d53b12aedcd84107ba8c85c81be56f + sha256: b24a19e5a5d78335288b480fd1da021756ba37c832f9ce6be0a7246e4e2aac0e + manager: conda + name: scikit-image + optional: true + platform: linux-64 + url: https://conda.anaconda.org/conda-forge/linux-64/scikit-image-0.19.3-py39h4661b88_2.tar.bz2 + version: 0.19.3 - category: full dependencies: argon2-cffi: '' @@ -4492,14 +4522,14 @@ package: tornado: '>=6.1' traitlets: '>=4.2.1' hash: - md5: 8d16bf3ba8cba7f702691767919d6bc6 - sha256: 2edf0741bf374b55163970127697846985ae9ac0576684ab9c80224ca810f060 + md5: f4f150f83ed90a1b833e6081bbf38257 + sha256: e180247b54ef26df23ed4662a5ca6a04252b11624da22d21cd976479afea4417 manager: conda name: nbclassic optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.4.5-pyhd8ed1ab_0.tar.bz2 - version: 0.4.5 + url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.4.8-pyhd8ed1ab_0.tar.bz2 + version: 0.4.8 - category: full dependencies: argon2-cffi: '' @@ -4508,25 +4538,26 @@ package: jinja2: '' jupyter_client: '>=5.3.4' jupyter_core: '>=4.6.1' - nbclassic: 0.4.5 - nbconvert: '>=5' + nbclassic: '>=0.4.7' + nbconvert-core: '>=5' nbformat: '' + nest-asyncio: '>=1.5' prometheus_client: '' python: '>=3.7' pyzmq: '>=17' - send2trash: '>=1.5.0' + send2trash: '>=1.8.0' terminado: '>=0.8.3' tornado: '>=6.1' traitlets: '>=4.2.1' hash: - md5: 16d5690e1f1cf716b6adf33a2a54dce5 - sha256: 7f1f249181459591083c4b99e3981a7c0933365deace3a75f72bfaca3256305a + md5: 7bf26ca095481f206e6f9dd7681085fe + sha256: 59b8f5923f5400e8d52a1bc7ad307add6953fa09f332cb745e22ef1e05b05acc manager: conda name: notebook optional: true platform: linux-64 - url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.1-pyha770c72_0.tar.bz2 - version: 6.5.1 + url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.2-pyha770c72_1.tar.bz2 + version: 6.5.2 - category: full dependencies: notebook: '>=5.3' @@ -4616,14 +4647,27 @@ package: utm: '*' vectormath: '>=0.2.0' hash: - sha256: b1343e81535c83051201ae5aefef4d301effe04e5786bd19e3ce15ffb69471c7 + sha256: 35ba6d0f6ff81770caf1ea7599ba62f3b13b23c14091fec35e9d751c0aca793e manager: pip name: mira-simpeg optional: false platform: linux-64 source: null - url: https://files.pythonhosted.org/packages/0f/00/ac96a8523e2327727bc14577ec06507d76fd9e258cf4689dc06334eb0e1f/Mira_SimPEG-0.15.1.dev6-py2.py3-none-any.whl - version: 0.15.1.dev6 + url: https://files.pythonhosted.org/packages/f0/6e/d27a5faf1fc1bda17a119bb3f021f8d91597f0fbd1f85630bf9e6dfd63a4/Mira_SimPEG-0.15.1.dev7-py2.py3-none-any.whl + version: 0.15.1.dev7 +- category: main + dependencies: + geoh5py: '>=0.5.0,<0.6.0' + numpy: '>=1.21.5,<2.0.0' + hash: + sha256: c73020238558b1ececd1ad6e01b76dac8272dda46f3361a034315bd40b341d9d + manager: pip + name: param-sweeps + optional: false + platform: linux-64 + source: null + url: https://files.pythonhosted.org/packages/86/9a/cf12141da920feeb4b80833bd54f01d11c7b58b3f7f7c5ec19d2a45127f8/param_sweeps-0.1.3-py3-none-any.whl + version: 0.1.3 - category: main dependencies: {} hash: @@ -4649,14 +4693,14 @@ package: - category: main dependencies: {} hash: - md5: 67b268c32433047914482def1ce215c2 - sha256: e1c929207f8a8e03fa86150c3b446f3511f35b2146d3031de305088c3b148c58 + md5: af2bdcd68f16ce030ca957cdeb83d88a + sha256: 898276d86de89fb034ecfae05103045d0a0d6a356ced1b6d1832cdbd07a8fc18 manager: conda name: ca-certificates optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2022.9.24-h033912b_0.tar.bz2 - version: 2022.9.24 + url: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2022.12.7-h033912b_0.conda + version: 2022.12.7 - category: full dependencies: {} hash: @@ -4869,14 +4913,14 @@ package: - category: main dependencies: {} hash: - md5: 5d5ab9ab83ce21422be84ecfd3142201 - sha256: dfe2fa815471c2638a009eb47969605730d92c3af3f183295587e34f996d2f30 + md5: 3a900993deb973d86d98361ceef49ab3 + sha256: d8b65c6bd88a6508bc0ed3c03edfdf4c05d55024b2bf43dd5f61bec69f3bb87e manager: conda name: llvm-openmp optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-14.0.4-ha654fa7_0.tar.bz2 - version: 14.0.4 + url: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-15.0.6-h61d9ccf_0.conda + version: 15.0.6 - category: main dependencies: {} hash: @@ -4932,28 +4976,39 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/osx-64/pthread-stubs-0.4-hc929b4f_1001.tar.bz2 version: '0.4' +- category: main + dependencies: {} + hash: + md5: 021e2768e8eaf24ee8e25aec64d305a1 + sha256: b02e179f015b042510da8ba256c86f5cfb34058a96ec1c548f33f9f8bcdbb78c + manager: conda + name: python_abi + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.9-3_cp39.conda + version: '3.9' - category: full dependencies: {} hash: - md5: ed1bdb5cc17e81b331008b5d0cf41088 - sha256: 3d3bf2ff1eb79f5d045a77b40661bb74af0ab289751948ac327150d3187774d0 + md5: f1bf42ae6c2a752b4c064140365563c2 + sha256: da3f2c43081a5f2b24168ee138ee3f499b60039d8c9a0421dc962c4cb81105ae manager: conda name: tzcode optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/tzcode-2022e-hb7f2c08_0.tar.bz2 - version: 2022e + url: https://conda.anaconda.org/conda-forge/osx-64/tzcode-2022g-hb7f2c08_0.conda + version: 2022g - category: main dependencies: {} hash: - md5: e366350e2343a798e29833286abe2560 - sha256: 419eaff0d20f418974ca27a40bc871bbe48217dba05936f147a574eb5f079005 + md5: 51fc4fcfb19f5d95ffc8c339db5068e8 + sha256: 0bfae0b9962bc0dbf79048f9175b913ed4f53c4310d06708dc7acbb290ad82f6 manager: conda name: tzdata optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2022f-h191b570_0.tar.bz2 - version: 2022f + url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2022g-h191b570_0.conda + version: 2022g - category: main dependencies: {} hash: @@ -5062,16 +5117,16 @@ package: version: '1' - category: full dependencies: - libcxx: '>=13.0.1' + libcxx: '>=14.0.6' hash: - md5: c7e2d591b477ceb4fc8a1190a5c9cb8e - sha256: d92573b2ea8a3d7a7518a140e04c9ed74ce2c01f1e3ede0004a51ee8e536a301 + md5: b8ac0c20383087c33ac8e5e330072832 + sha256: 6e6bbc66cf21e23f13910b4c96847f8598b699ca52d2c735c8f57f354f91f2e6 manager: conda name: geos optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/geos-3.11.0-hb486fe8_0.tar.bz2 - version: 3.11.0 + url: https://conda.anaconda.org/conda-forge/osx-64/geos-3.11.1-hf0c8a7f_0.tar.bz2 + version: 3.11.1 - category: full dependencies: libiconv: '>=1.17,<2.0a0' @@ -5160,13 +5215,13 @@ package: dependencies: llvm-openmp: '>=8.0.0' hash: - md5: 2c8fd85ee58fc04f8cc52aaa28bceca3 - sha256: 599cade7d68b6bd1b79db1b0ab24cdfd0b310c47e74d1f55c78761eb66e0e62f + md5: 11835360754e5caca43cfaa3a81dfca5 + sha256: 5d259b0e7992f064036f6cda6e22ba7eeee507b8edbcf262cd967f2e5389ef94 manager: conda name: libgfortran5 optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libgfortran5-11.3.0-h082f757_25.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/libgfortran5-11.3.0-h082f757_26.tar.bz2 version: 11.3.0 - category: main dependencies: @@ -5183,28 +5238,28 @@ package: version: 11.1.0 - category: main dependencies: - libzlib: '>=1.2.12,<1.3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: 3954555b5b02b117119cb806d5dcfcd8 - sha256: 8bcc76d644202cde53252a2274f8a3fe28650ba273148ce027337c576276d6f3 + md5: 35e4928794c5391aec14ffdf1deaaee5 + sha256: 5ad9f5e96e6770bfc8b0a826f48835e7f337c2d2e9512d76027a62f9c120b2a3 manager: conda name: libpng optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libpng-1.6.38-ha978bb4_0.tar.bz2 - version: 1.6.38 + url: https://conda.anaconda.org/conda-forge/osx-64/libpng-1.6.39-ha978bb4_0.conda + version: 1.6.39 - category: main dependencies: - libzlib: '>=1.2.12,<1.3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: 28060fa753417bdd4e66da2048951dd1 - sha256: 3fc6bd39468480b12166b4450731f6a517780590aa3cbfcd812f71b4c9a6946b + md5: ceb13b6726534b96e3b4e3dda91e9050 + sha256: ae19f866188cc0c514fed754468460ae9e8dd763ebbd7b7afc4e818d71844297 manager: conda name: libsqlite optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.39.4-ha978bb4_0.tar.bz2 - version: 3.39.4 + url: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.40.0-ha978bb4_0.tar.bz2 + version: 3.40.0 - category: main dependencies: pthread-stubs: '' @@ -5245,53 +5300,53 @@ package: version: 1.9.3 - category: full dependencies: - libcxx: '>=11.1.0' + libcxx: '>=14.0.6' hash: - md5: 8d7d6d0d86b10bd80e2096058c240a45 - sha256: 0384690469af309024db6daebc3008419808f378c58c1ab773df86b761ffb5ca + md5: a9e56c98d13d8b7ce72bf4357317c29b + sha256: da6e19bd0ff31e219760e647cfe1cc499a8cdfaff305f06c56d495ca062b86de manager: conda name: nspr optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/nspr-4.32-hcd9eead_1.tar.bz2 - version: '4.32' + url: https://conda.anaconda.org/conda-forge/osx-64/nspr-4.35-hea0b92c_0.conda + version: '4.35' - category: main dependencies: ca-certificates: '' hash: - md5: 78d8266753a5db378ef0f9302be9990f - sha256: 6410b7cb71f33e63f815a377b378c598e2c4a28493f29f0eb73893cecf3c20d7 + md5: 7a3fb6d40e0aa5dbb5b4ef54462f00a8 + sha256: 3eb19686ae870daae035582cb93253a6435f71baf537addced41be449b4daf67 manager: conda name: openssl optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.0.7-hfd90126_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.0.7-hfd90126_1.conda version: 3.0.7 - category: full dependencies: - libcxx: '>=11.1.0' + bzip2: '>=1.0.8,<2.0a0' + libzlib: '>=1.2.12,<1.3.0a0' hash: - md5: 0526850419e04ac003bc0b65a78dc4cc - sha256: 8002279cf4084fbf219f137c2bdef2825d076a5a57a14d1d922d7c5fa7872a5c + md5: e0f80c8f3a0352a54eddfe59cd2b25b1 + sha256: 60265b48c96decbea89a19a7bc34be88d9b95d4725fd4dbdae158529c601875a manager: conda - name: pcre + name: pcre2 optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/pcre-8.45-he49afe7_0.tar.bz2 - version: '8.45' + url: https://conda.anaconda.org/conda-forge/osx-64/pcre2-10.40-h1c4e4bc_0.tar.bz2 + version: '10.40' - category: full dependencies: - bzip2: '>=1.0.8,<2.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + libcxx: '>=11.1.0' hash: - md5: 4aea99dd6f062a6cebafbb0d363807fa - sha256: 6bcbb5bda880e58e3172cc604dff2e84b68fb4431c814a6b03d1a476b94b00e6 + md5: 031bd4afafd89fff7bef4fb6c9f49058 + sha256: a1dff011b3f314ee417a7bd626eecbc44d536b20e51884d378cfc89cc8e90a45 manager: conda - name: pcre2 + name: qhull optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/pcre2-10.37-h3f55489_1.tar.bz2 - version: '10.37' + url: https://conda.anaconda.org/conda-forge/osx-64/qhull-2020.2-h940c156_2.tar.bz2 + version: '2020.2' - category: main dependencies: ncurses: '>=6.3,<7.0a0' @@ -5306,28 +5361,28 @@ package: version: 8.1.2 - category: full dependencies: - libcxx: '>=13.0.1' + libcxx: '>=14.0.4' hash: - md5: ffa92d111ec90eec8ffc09220a9c5aba - sha256: 646a0a0cfa679272f8c4794767cf18d61eb138236e9a7b779b6cdd10031a06ec + md5: eb2c4c3544099a357db4c02eda1a0766 + sha256: 4f53a0f9d3593611554abcca9d7d5d8afcbe288237e02fd71be3b7e22c4bab1a manager: conda name: snappy optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/snappy-1.1.9-h6e38e02_1.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/snappy-1.1.9-h225ccf5_2.tar.bz2 version: 1.1.9 - category: main dependencies: - libcxx: '>=14.0.4' + libcxx: '>=14.0.6' hash: - md5: a61183103765b09fcf26b564f75b4904 - sha256: fbf980b92f1e1fb522410525b87a1499904967abdaedd2cdef815da3e368f526 + md5: 1d7d711419ed9e4a96370d8749cec3c1 + sha256: bb1d644bc47fb415bfe8cdb5ee2be1558cb3952798f862ac4bc4e3a8c743428e manager: conda name: tbb optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/tbb-2021.6.0-hb8565cd_1.tar.bz2 - version: 2021.6.0 + url: https://conda.anaconda.org/conda-forge/osx-64/tbb-2021.7.0-hb8565cd_1.conda + version: 2021.7.0 - category: main dependencies: libzlib: '>=1.2.11,<1.3.0a0' @@ -5393,20 +5448,20 @@ package: version: 1.5.2 - category: full dependencies: - libcxx: '>=13.0.1' - libzlib: '>=1.2.11,<1.3.0a0' + libcxx: '>=14.0.6' + libzlib: '>=1.2.13,<1.3.0a0' lz4-c: '>=1.9.3,<1.10.0a0' snappy: '>=1.1.9,<2.0a0' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: c7bcd688fb5236757648a8b85b8fb7f0 - sha256: 518057cef4b20f86ea7df4000e2a69fd87da4f9924d9e52d89517b0c200d3cf3 + md5: 2e726e782e57ba3e70f2e85891377cd5 + sha256: 7a7b353be94c36461eacf181b574a0154a00f49d449c4b4046f332f132778959 manager: conda name: blosc optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/blosc-1.21.1-h97e831e_3.tar.bz2 - version: 1.21.1 + url: https://conda.anaconda.org/conda-forge/osx-64/blosc-1.21.2-hebb52c4_0.conda + version: 1.21.2 - category: full dependencies: bzip2: '>=1.0.8,<2.0a0' @@ -5439,19 +5494,19 @@ package: version: 1.0.9 - category: full dependencies: - libcxx: '>=14.0.4' + libcxx: '>=14.0.6' lz4-c: '>=1.9.3,<1.10.0a0' zlib-ng: '>=2.0.6,<2.1.0a0' zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 6abb27f10b8d97369f4f6a89db483ea7 - sha256: 87311881e613a89f1333b48146aa91c98180d1cf269f61f85ada2aa2279e7eed + md5: 9783aa8a3cb5fab3bee979b9d3b6bf37 + sha256: 3cd0d090c0111b5f784c49c7e2f6108cf026d6407754fcfbdfc12af7a6e4252e manager: conda name: c-blosc2 optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/c-blosc2-2.4.3-had5f71b_0.tar.bz2 - version: 2.4.3 + url: https://conda.anaconda.org/conda-forge/osx-64/c-blosc2-2.6.0-had5f71b_0.conda + version: 2.6.0 - category: full dependencies: fonts-conda-forge: '' @@ -5466,16 +5521,16 @@ package: version: '1' - category: main dependencies: - libpng: '>=1.6.37,<1.7.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + libpng: '>=1.6.39,<1.7.0a0' + libzlib: '>=1.2.13,<1.3.0a0' hash: - md5: 6afb5b1664496c575117efe9aa2c9ba9 - sha256: 73b9b2eeb53fee81109cef859d3bb0bd032834cc31771af3529173dab9a17781 + md5: 852224ea3e8991a8342228eab274840e + sha256: 0aea2b93d0da8bf022501857de93f2fc0e362fabcd83c4579be8d8f5bc3e17cb manager: conda name: freetype optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/freetype-2.12.1-h3f81eb7_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/freetype-2.12.1-h3f81eb7_1.conda version: 2.12.1 - category: full dependencies: @@ -5523,13 +5578,13 @@ package: dependencies: libgfortran5: '' hash: - md5: 5258ded23560cdebf95cef1df827065b - sha256: d8157284166a69cd12e43a75da5a135d529c899428201314902a4d4992afa7b1 + md5: ac9c1a84323edab6c3ff9d3e586ab3cc + sha256: 9d16c9935383992cd52c99492bbc254132edef9b775cee848ec5a52d8b314209 manager: conda name: libgfortran optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libgfortran-5.0.0-10_4_0_h97931a8_25.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/libgfortran-5.0.0-9_5_0_h97931a8_26.tar.bz2 version: 5.0.0 - category: full dependencies: @@ -5538,15 +5593,15 @@ package: libffi: '>=3.4,<4.0a0' libiconv: '>=1.17,<2.0a0' libzlib: '>=1.2.13,<1.3.0a0' - pcre2: '>=10.37,<10.38.0a0' + pcre2: '>=10.40,<10.41.0a0' hash: - md5: 6b6b943399bbdf9918f989c363375365 - sha256: 7fd0617aa7772b8592812f4f0a175f5977af699404995cf5b76c172e567d1bf0 + md5: 68a698fe240032c2ff587028ed51b155 + sha256: f9e2d0453b5ebc35022bc50c210728e56169ccd4fc2c5c9773dcb228a58868b0 manager: conda name: libglib optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libglib-2.74.1-h3ba3332_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/libglib-2.74.1-h4c723e1_1.tar.bz2 version: 2.74.1 - category: main dependencies: @@ -5566,16 +5621,16 @@ package: version: 1.47.0 - category: full dependencies: - geos: '>=3.11.0,<3.11.1.0a0' - libcxx: '>=13.0.1' + geos: '>=3.11.1,<3.11.2.0a0' + libcxx: '>=14.0.6' hash: - md5: cbe0c3c20a8b3069c84659eb4540f0cb - sha256: fb7abf6f9ca8cd700f82c8a749e0f5a641d22fdd1ec7443437a6592818ca51d4 + md5: cbf6767a38ffbc9be29cf26045e81faf + sha256: 16b4ac4a136411cac709a88dabc628bc9ca4971ba31820b29a67a13788a79db3 manager: conda name: librttopo optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/librttopo-1.1.0-he07d8f5_11.tar.bz2 + url: https://conda.anaconda.org/conda-forge/osx-64/librttopo-1.1.0-h9461dca_12.tar.bz2 version: 1.1.0 - category: main dependencies: @@ -5640,208 +5695,90 @@ package: version: 1.9.2 - category: main dependencies: - llvm-openmp: '>=13.0.1' + llvm-openmp: '>=14.0.6' tbb: 2021.* hash: - md5: 98a4d58de0ba6e61ce46620b775c19ce - sha256: 56548424d3c74f2249ef567e5422f83a3ed7c81be1ffebe0034668b44d763854 + md5: a51e7035c0075d4341942a5894ef20b9 + sha256: 70896885df3cf031ac547c42f27384f769f190bc2bfb9e2520a7ef2c34db4806 manager: conda name: mkl optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/mkl-2022.1.0-h860c996_928.tar.bz2 - version: 2022.1.0 + url: https://conda.anaconda.org/conda-forge/osx-64/mkl-2022.2.1-h44ed08c_16952.conda + version: 2022.2.1 - category: main dependencies: - libsqlite: 3.39.4 ha978bb4_0 - libzlib: '>=1.2.12,<1.3.0a0' + bzip2: '>=1.0.8,<2.0a0' + libffi: '>=3.4,<4.0a0' + libsqlite: '>=3.40.0,<4.0a0' + libzlib: '>=1.2.13,<1.3.0a0' ncurses: '>=6.3,<7.0a0' + openssl: '>=3.0.7,<4.0a0' readline: '>=8.1.2,<9.0a0' + tk: '>=8.6.12,<8.7.0a0' + tzdata: '' + xz: '>=5.2.6,<6.0a0' hash: - md5: 14e2dbb73e122e10858790f664d9636b - sha256: af69137ec8e4dd85adb4f779cdf034022fff952bc09809c2a95b6b9026f48095 + md5: 5910e45e5f96fb8c8d99d2786f9618a8 + sha256: 2db99b97f647c78018363c291d479b60696d0e32041495b3bc7f883e79725ff3 manager: conda - name: sqlite + name: python optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/sqlite-3.39.4-h9ae0607_0.tar.bz2 - version: 3.39.4 -- category: main + url: https://conda.anaconda.org/conda-forge/osx-64/python-3.9.15-h709bd14_0_cpython.conda + version: 3.9.15 +- category: full dependencies: - brotli-bin: 1.0.9 hb7f2c08_8 - libbrotlidec: 1.0.9 hb7f2c08_8 - libbrotlienc: 1.0.9 hb7f2c08_8 + libsqlite: 3.40.0 ha978bb4_0 + libzlib: '>=1.2.13,<1.3.0a0' + ncurses: '>=6.3,<7.0a0' + readline: '>=8.1.2,<9.0a0' hash: - md5: 55f612fe4a9b5f6ac76348b6de94aaeb - sha256: 1272426370f1e8db1a8b245a7b522afe27413b09eab169990512a7676b802e3b + md5: b66b0b11f1b901f3c2bce9406bedfd40 + sha256: 6dac7b1a5b2111a0781735050b3cf8dd1dbbf0253b0bd857863c1d9e6e26beab manager: conda - name: brotli - optional: false + name: sqlite + optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/brotli-1.0.9-hb7f2c08_8.tar.bz2 - version: 1.0.9 + url: https://conda.anaconda.org/conda-forge/osx-64/sqlite-3.40.0-h9ae0607_0.tar.bz2 + version: 3.40.0 - category: full dependencies: - expat: '>=2.4.9,<3.0a0' - freetype: '>=2.12.1,<3.0a0' - libzlib: '>=1.2.13,<1.3.0a0' + python: 3.9.* hash: - md5: 68c42c630dcf96518bbd9f6525861e06 - sha256: 76df655e7f4885b9f964906d9b0aad5ecd5ae9779b0ca63e875483428c38a528 + md5: 0b7821445f86bbfc5b75ef9d812453c6 + sha256: 7c6f0748101ae31360b3a84727aceb246afd9fbb0eca17b1ebfe13ae58e62bf8 manager: conda - name: fontconfig + name: _ipython_minor_entry_point optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/fontconfig-2.14.1-h5bb23bf_0.tar.bz2 - version: 2.14.1 -- category: main + url: https://conda.anaconda.org/conda-forge/noarch/_ipython_minor_entry_point-8.7.0-h8cf3c4a_0.conda + version: 8.7.0 +- category: full dependencies: - jpeg: '>=9e,<10a' - libtiff: '>=4.4.0,<5.0a0' + python: '>=2.7' hash: - md5: e56c432e9a78c63692fa6bd076a15713 - sha256: c9cc9f806ae1cdc40597d2415b8ffe9448db434f109133938968b371f16580b8 + md5: 54ac328d703bff191256ffa1183126d1 + sha256: b209a68ac55eb9ecad7042f0d4eedef5da924699f6cdf54ac1826869cfdae742 manager: conda - name: lcms2 - optional: false + name: appnope + optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/lcms2-2.14-h90f4b2a_0.tar.bz2 - version: '2.14' + url: https://conda.anaconda.org/conda-forge/noarch/appnope-0.1.3-pyhd8ed1ab_0.tar.bz2 + version: 0.1.3 - category: main dependencies: - mkl: '>=2022.1.0,<2023.0a0' + python: '' hash: - md5: 96b23c2ca3208c5cb1ed34270448af5c - sha256: f1fa9b504ad948e70c9ecb834ceddb84ee4fd4a49f773c67e4943b15377f19d0 + md5: c0481c9de49f040272556e2cedf42816 + sha256: b3e9369529fe7d721b66f18680ff4b561e20dbf6507e209e1f60eac277c97560 manager: conda - name: libblas + name: asciitree optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-16_osx64_mkl.tar.bz2 - version: 3.9.0 -- category: main - dependencies: - krb5: '>=1.19.3,<1.20.0a0' - libnghttp2: '>=1.47.0,<2.0a0' - libssh2: '>=1.10.0,<2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' - hash: - md5: 2fed2006d68eb12f8aef504f81c75ab9 - sha256: 258cd299cb98ba80eac82184bb7757c7d0307fd7e39d4a0ce5d962fb3f8ac312 - manager: conda - name: libcurl - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libcurl-7.86.0-h581aaea_0.tar.bz2 - version: 7.86.0 -- category: full - dependencies: - boost-cpp: '>=1.78.0,<1.78.1.0a0' - expat: '>=2.4.8,<3.0a0' - libcxx: '>=14.0.4' - libzlib: '>=1.2.12,<1.3.0a0' - zlib: '>=1.2.12,<1.3.0a0' - hash: - md5: f1a092ddaedbde48dcf62a9455ce7e31 - sha256: 8ab0f6094e27d7fce097a83fccca60aa0dd5055a46335386e3fd4b417bc24d33 - manager: conda - name: libkml - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libkml-1.3.0-haeb80ef_1015.tar.bz2 - version: 1.3.0 -- category: full - dependencies: - krb5: '>=1.19.3,<1.20.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' - readline: '>=8.1.2,<9.0a0' - hash: - md5: 3b23941f15c1078edaee9a761785b907 - sha256: b1a8407fc8fb07178499432d01d2f1f54822f63a2756428c5873a06064834538 - manager: conda - name: libpq - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libpq-14.5-hd79e848_1.tar.bz2 - version: '14.5' -- category: full - dependencies: - libcxx: '>=13.0.1' - libzlib: '>=1.2.11,<1.3.0a0' - nspr: '>=4.32,<5.0a0' - sqlite: '>=3.38.5,<4.0a0' - hash: - md5: 0927d191f392959c876b7eab924efd01 - sha256: 6ac545d23f517ec1fc07496083e4fa667f82dcdb433046609c87d770f37217c1 - manager: conda - name: nss - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/nss-3.78-ha8197d3_0.tar.bz2 - version: '3.78' -- category: main - dependencies: - libcxx: '>=13.0.1' - libpng: '>=1.6.37,<1.7.0a0' - libtiff: '>=4.4.0,<5.0a0' - libzlib: '>=1.2.12,<1.3.0a0' - hash: - md5: be533cc782981a0ec5eed28aa618470a - sha256: 8e8851daf6eabf553e0bdf7cbdd3011b86e579d742852d2d757389f97a463b45 - manager: conda - name: openjpeg - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/openjpeg-2.5.0-h5d0d7b0_1.tar.bz2 - version: 2.5.0 -- category: main - dependencies: - bzip2: '>=1.0.8,<2.0a0' - libffi: '>=3.4.2,<3.5.0a0' - libzlib: '>=1.2.11,<1.3.0a0' - ncurses: '>=6.3,<7.0a0' - openssl: '>=3.0.3,<4.0a0' - readline: '>=8.1,<9.0a0' - sqlite: '>=3.38.5,<4.0a0' - tk: '>=8.6.12,<8.7.0a0' - tzdata: '' - xz: '>=5.2.5,<5.3.0a0' - hash: - md5: c3c4e87be5a78529972f2fa99c9e9938 - sha256: cbbb0a8b3cbdf0f12a561b8de8e580f214703ba7313dbaf84425d63acdd48c79 - manager: conda - name: python - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/python-3.9.13-hf8d34f4_0_cpython.tar.bz2 - version: 3.9.13 -- category: full - dependencies: - python: '>=2.7' - hash: - md5: 54ac328d703bff191256ffa1183126d1 - sha256: b209a68ac55eb9ecad7042f0d4eedef5da924699f6cdf54ac1826869cfdae742 - manager: conda - name: appnope - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/appnope-0.1.3-pyhd8ed1ab_0.tar.bz2 - version: 0.1.3 -- category: main - dependencies: - python: '' - hash: - md5: c0481c9de49f040272556e2cedf42816 - sha256: b3e9369529fe7d721b66f18680ff4b561e20dbf6507e209e1f60eac277c97560 - manager: conda - name: asciitree - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/asciitree-0.3.3-py_2.tar.bz2 - version: 0.3.3 -- category: dev + url: https://conda.anaconda.org/conda-forge/noarch/asciitree-0.3.3-py_2.tar.bz2 + version: 0.3.3 +- category: dev dependencies: python: '>=3.5' hash: @@ -5867,29 +5804,44 @@ package: version: 0.2.0 - category: full dependencies: - python: '' + python: '>=2.7' hash: - md5: 0da16b293affa6ac31812376f8eb79dd - sha256: a584e690dbb042779af83abaa87a54764278c0a53bf5256ff8f5b0f0061ac283 + md5: 54ca2e08b3220c148a1d8329c2678e02 + sha256: 711602276ae39276cb0faaca6fd0ac851fff0ca17151917569174841ef830bbd manager: conda name: backports optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/backports-1.0-py_2.tar.bz2 + url: https://conda.anaconda.org/conda-forge/noarch/backports-1.0-pyhd8ed1ab_3.conda version: '1.0' +- category: main + dependencies: + brotli-bin: 1.0.9 hb7f2c08_8 + libbrotlidec: 1.0.9 hb7f2c08_8 + libbrotlienc: 1.0.9 hb7f2c08_8 + hash: + md5: 55f612fe4a9b5f6ac76348b6de94aaeb + sha256: 1272426370f1e8db1a8b245a7b522afe27413b09eab169990512a7676b802e3b + manager: conda + name: brotli + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/brotli-1.0.9-hb7f2c08_8.tar.bz2 + version: 1.0.9 - category: full dependencies: - brotli: '>=1.0.9,<2.0a0' - libcxx: '>=11.0.0' + libcxx: '>=14.0.4' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 hash: - md5: 28d47920c95b85499c9a61994cc49b87 - sha256: e9abc53437889e03013b466521f928903fa27de770d16eb5f4ac6c4266a7b6a4 + md5: e98d2cfd5593cd70dd434989e5b5bce5 + sha256: 4b208c8e587be38b905e7d3a4c32dddfc034b1230bbea0bf8b419bfdea79b615 manager: conda - name: brunsli + name: brotli-python optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/brunsli-0.1-h046ec9c_0.tar.bz2 - version: '0.1' + url: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.0.9-py39h7a8716b_8.tar.bz2 + version: 1.0.9 - category: main dependencies: python: '>=3.6' @@ -5902,54 +5854,18 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2 version: 1.5.2 -- category: full - dependencies: - fontconfig: '>=2.13.96,<3.0a0' - fonts-conda-ecosystem: '' - freetype: '>=2.12.1,<3.0a0' - icu: '>=70.1,<71.0a0' - libglib: '>=2.72.1,<3.0a0' - libpng: '>=1.6.38,<1.7.0a0' - libzlib: '>=1.2.12,<1.3.0a0' - pixman: '>=0.40.0,<1.0a0' - zlib: '>=1.2.12,<1.3.0a0' - hash: - md5: 2e7b4350178ed52bb6fd2b1ecbeeed4f - sha256: a41a819cf32b87492098332c9f2a2c4b1055489efdad4a8be75a086ffc8573c5 - manager: conda - name: cairo - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/cairo-1.16.0-h904041c_1014.tar.bz2 - version: 1.16.0 - category: main dependencies: python: '>=3.7' hash: - md5: f66309b099374af91369e67e84af397d - sha256: 52e7459b3c457e888e2b6a4e6d13ab7f8675999bc12d20a83e34f12591a8771a + md5: fb9addc3db06e56abe03e0e9f21a63e6 + sha256: 5e22af4776700200fab2c1df41a2188ab9cfe90a50c4f388592bb978562c88ec manager: conda name: certifi optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/certifi-2022.9.24-pyhd8ed1ab_0.tar.bz2 - version: 2022.9.24 -- category: full - dependencies: - bzip2: '>=1.0.8,<2.0a0' - libcurl: '>=7.82.0,<8.0a0' - libgfortran: 5.* - libgfortran5: '>=9.3.0' - libzlib: '>=1.2.11,<1.3.0a0' - hash: - md5: f2108cb086dfd037a6709b011564860d - sha256: 1d830a5b6cdf74160e4eb08aab3abca0be325c0e32c24a83db57612bdd0664a8 - manager: conda - name: cfitsio - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/cfitsio-4.1.0-h2c97ad1_0.tar.bz2 - version: 4.1.0 + url: https://conda.anaconda.org/conda-forge/noarch/certifi-2022.12.7-pyhd8ed1ab_0.conda + version: 2022.12.7 - category: dev dependencies: python: '>=3.6' @@ -5999,22 +5915,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2 version: 0.4.6 -- category: full - dependencies: - krb5: '>=1.19.3,<1.20.0a0' - libcurl: 7.86.0 h581aaea_0 - libssh2: '>=1.10.0,<2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' - hash: - md5: 57d2f0bfffa7dce45f4a9b66f9cf464b - sha256: c00965c884c33868ecdf40f1f8fa1239f3d83127d254b7e9ab58271b5234c8dc - manager: conda - name: curl - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/curl-7.86.0-h581aaea_0.tar.bz2 - version: 7.86.0 - category: main dependencies: python: '>=3.6' @@ -6027,6 +5927,20 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.11.0-pyhd8ed1ab_0.tar.bz2 version: 0.11.0 +- category: full + dependencies: + libcxx: '>=14.0.6' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: 71e1c3c6e7979c5c3549bd41f3cdee47 + sha256: a5ad4b8609289e5d6460e0464df8a93272e1e15d2e76b049a61c462cd569d9e5 + manager: conda + name: debugpy + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.6.4-py39h7a8716b_0.conda + version: 1.6.4 - category: full dependencies: python: '>=3.5' @@ -6079,14 +5993,14 @@ package: dependencies: python: '>=3.7' hash: - md5: da409b864dc21631820c81973df42587 - sha256: 201c07a4e0489f864ce25b5f1b132f672bee7647c21f65f9a273d710c4163ebd + md5: e0734d1f12de77f9daca98bda3428733 + sha256: abd2795af746b666b93ee42baf4de3ebaad82435b8291b6485325ecbc9d49f56 manager: conda name: exceptiongroup optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.0.0-pyhd8ed1ab_0.tar.bz2 - version: 1.0.0 + url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.0.4-pyhd8ed1ab_0.tar.bz2 + version: 1.0.4 - category: full dependencies: python: '>=2.7' @@ -6115,26 +6029,40 @@ package: dependencies: python: '>=3.6' hash: - md5: f93822cba5c20161560661988a88f2c0 - sha256: f56157ce4b55ef46a4fa4fe875703468e362b983099f864b740fd99aa80bbdbb + md5: 6d5e56de2e65da7aa35fd10131226efa + sha256: 251e79241eadab363eeaaf20f118423571e1a90ef351ae78e1c4574c53c8526c manager: conda name: flit-core optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/flit-core-3.7.1-pyhd8ed1ab_0.tar.bz2 - version: 3.7.1 + url: https://conda.anaconda.org/conda-forge/noarch/flit-core-3.8.0-pyhd8ed1ab_0.tar.bz2 + version: 3.8.0 +- category: full + dependencies: + expat: '>=2.4.9,<3.0a0' + freetype: '>=2.12.1,<3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + hash: + md5: 68c42c630dcf96518bbd9f6525861e06 + sha256: 76df655e7f4885b9f964906d9b0aad5ecd5ae9779b0ca63e875483428c38a528 + manager: conda + name: fontconfig + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/fontconfig-2.14.1-h5bb23bf_0.tar.bz2 + version: 2.14.1 - category: main dependencies: python: '>=3.6' hash: - md5: ee4d78b97e857cb8d845c8fa4c898433 - sha256: 30ab06e5a472d7e1faed5b2189010345ab26be3e98460f5a5362c2651814014a + md5: eb919f2119a6db5d0192f9e9c3711572 + sha256: 1ba0e6a0c6f023753b6766fda092b333485a7c640f1069a64d003570c652bddb manager: conda name: fsspec optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2022.10.0-pyhd8ed1ab_0.tar.bz2 - version: 2022.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2022.11.0-pyhd8ed1ab_0.tar.bz2 + version: 2022.11.0 - category: main dependencies: python: '>=3.8' @@ -6147,23 +6075,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/future-0.18.2-pyhd8ed1ab_6.tar.bz2 version: 0.18.2 -- category: main - dependencies: - libcurl: '>=7.83.1,<8.0a0' - libcxx: '>=13.0.1' - libgfortran: 5.* - libgfortran5: '>=9.3.0' - libzlib: '>=1.2.12,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' - hash: - md5: a6e9b643c5d6fd3ac2b04e8279290191 - sha256: f2deaaa747adc9d8e5a23e74bb6878f130533d318958c5cf2e3e94ff67984c03 - manager: conda - name: hdf5 - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/hdf5-1.12.2-nompi_h1f71328_100.tar.bz2 - version: 1.12.2 - category: main dependencies: python: '' @@ -6238,33 +6149,123 @@ package: version: 1.1.1 - category: main dependencies: - libblas: 3.9.0 16_osx64_mkl + libcxx: '>=14.0.4' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 hash: - md5: 430c4d18fd8bbc987c4367f5d16135cf - sha256: cea791941c65d70883937ceba5ab930a4c97cd2d74451fd0e6b1e06526299a55 + md5: 7720e059630e25ab17ab12677e59c615 + sha256: c397173c92ca77678d645bf8ef8064e81b821169db056217963f020acc09d42c manager: conda - name: libcblas + name: kiwisolver optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-16_osx64_mkl.tar.bz2 - version: 3.9.0 -- category: main + url: https://conda.anaconda.org/conda-forge/osx-64/kiwisolver-1.4.4-py39h92daf61_1.tar.bz2 + version: 1.4.4 +- category: dev dependencies: - libblas: 3.9.0 16_osx64_mkl + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 hash: - md5: 757f1ae46973ce6542784d99b9984d8d - sha256: 1df7a4e75ccafef1ed768b947cce6817eb98eee235fb61e768046f084cc5f48f + md5: d2c7fe4ff28696c63cb03ebd8782f5df + sha256: 8316f191b4ea033dfba0a1c94c9dcc1b5b9af2d66205b76250cb4509171a1786 manager: conda - name: liblapack - optional: false + name: lazy-object-proxy + optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-16_osx64_mkl.tar.bz2 - version: 3.9.0 + url: https://conda.anaconda.org/conda-forge/osx-64/lazy-object-proxy-1.8.0-py39ha30fb19_0.tar.bz2 + version: 1.8.0 - category: main dependencies: - python: '>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*' + jpeg: '>=9e,<10a' + libtiff: '>=4.4.0,<5.0a0' hash: - md5: 91e27ef3d05cc772ce627e51cff111c4 + md5: e56c432e9a78c63692fa6bd076a15713 + sha256: c9cc9f806ae1cdc40597d2415b8ffe9448db434f109133938968b371f16580b8 + manager: conda + name: lcms2 + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/lcms2-2.14-h90f4b2a_0.tar.bz2 + version: '2.14' +- category: main + dependencies: + mkl: '>=2022.1.0,<2023.0a0' + hash: + md5: 96b23c2ca3208c5cb1ed34270448af5c + sha256: f1fa9b504ad948e70c9ecb834ceddb84ee4fd4a49f773c67e4943b15377f19d0 + manager: conda + name: libblas + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-16_osx64_mkl.tar.bz2 + version: 3.9.0 +- category: main + dependencies: + krb5: '>=1.19.3,<1.20.0a0' + libnghttp2: '>=1.47.0,<2.0a0' + libssh2: '>=1.10.0,<2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + openssl: '>=3.0.7,<4.0a0' + hash: + md5: af83102fc53762fb78e27657b540756f + sha256: f76129b5fbb7d08a1457ce36eb16b32da470ccd5ad8e498265c97750ccddd921 + manager: conda + name: libcurl + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/libcurl-7.86.0-h581aaea_1.tar.bz2 + version: 7.86.0 +- category: full + dependencies: + boost-cpp: '>=1.78.0,<1.78.1.0a0' + expat: '>=2.4.8,<3.0a0' + libcxx: '>=14.0.4' + libzlib: '>=1.2.12,<1.3.0a0' + zlib: '>=1.2.12,<1.3.0a0' + hash: + md5: f1a092ddaedbde48dcf62a9455ce7e31 + sha256: 8ab0f6094e27d7fce097a83fccca60aa0dd5055a46335386e3fd4b417bc24d33 + manager: conda + name: libkml + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/libkml-1.3.0-haeb80ef_1015.tar.bz2 + version: 1.3.0 +- category: full + dependencies: + krb5: '>=1.19.3,<1.20.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + openssl: '>=3.0.7,<4.0a0' + hash: + md5: 4f2e19659e71825ac16e36a8f83d0a9c + sha256: e719fcd70c40df1465a66992fa7bfa937ef4965cb3d09cc382afa9b4894fcc1e + manager: conda + name: libpq + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/libpq-15.1-hb1ae2b1_1.conda + version: '15.1' +- category: main + dependencies: + libcxx: '>=14.0.4' + libllvm11: '>=11.1.0,<11.2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: 1ade05a3d2c999bd14675dcdaf763b38 + sha256: 43e5f08d584ab5b2d5006cb6c91bd7580b3445b7edaaaa908a7b450b0e8a47ac + manager: conda + name: llvmlite + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/llvmlite-0.39.1-py39had167e2_1.tar.bz2 + version: 0.39.1 +- category: main + dependencies: + python: '>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*' + hash: + md5: 91e27ef3d05cc772ce627e51cff111c4 sha256: 9afe0b5cfa418e8bdb30d8917c5a6cec10372b037924916f1f85b9f4899a67a6 manager: conda name: locket @@ -6272,6 +6273,19 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2 version: 1.0.0 +- category: main + dependencies: + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: ff153f279e1f29f64d98245b8a042e85 + sha256: 561cae5f3603823655efb688c5c5f71d2283ff84771a84244b0780bb1d4e2f15 + manager: conda + name: markupsafe + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/markupsafe-2.1.1-py39ha30fb19_2.tar.bz2 + version: 2.1.1 - category: dev dependencies: python: '>=3.6' @@ -6296,6 +6310,20 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/mistune-2.0.4-pyhd8ed1ab_0.tar.bz2 version: 2.0.4 +- category: main + dependencies: + libcxx: '>=14.0.4' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: 1514cec1741a05af5d55d0e792e9dee6 + sha256: ad9b957b549d62a64cb4c01a888e5561df2ce03e5d644fdbbf6525b82f30f47b + manager: conda + name: msgpack-python + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/msgpack-python-1.0.4-py39h92daf61_1.tar.bz2 + version: 1.0.4 - category: main dependencies: python: '' @@ -6324,14 +6352,56 @@ package: dependencies: python: '>=3.8' hash: - md5: 1b74438a7270b1e2cbd3de9dba18ebb6 - sha256: eda4b0dba46c72770bc410c794f4da62509623a24c12b9805954828278915dc7 + md5: bb45ff9deddb045331fd039949f39650 + sha256: a8e3531fdb6f9acfde885dd94c8639c020013215dab98ff4ed82db7aa745277a manager: conda name: networkx optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/networkx-2.8.7-pyhd8ed1ab_0.tar.bz2 - version: 2.8.7 + url: https://conda.anaconda.org/conda-forge/noarch/networkx-2.8.8-pyhd8ed1ab_0.tar.bz2 + version: 2.8.8 +- category: full + dependencies: + libcxx: '>=13.0.1' + libzlib: '>=1.2.11,<1.3.0a0' + nspr: '>=4.32,<5.0a0' + sqlite: '>=3.38.5,<4.0a0' + hash: + md5: 0927d191f392959c876b7eab924efd01 + sha256: 6ac545d23f517ec1fc07496083e4fa667f82dcdb433046609c87d770f37217c1 + manager: conda + name: nss + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/nss-3.78-ha8197d3_0.tar.bz2 + version: '3.78' +- category: main + dependencies: + libcxx: '>=13.0.1' + libpng: '>=1.6.37,<1.7.0a0' + libtiff: '>=4.4.0,<5.0a0' + libzlib: '>=1.2.12,<1.3.0a0' + hash: + md5: be533cc782981a0ec5eed28aa618470a + sha256: 8e8851daf6eabf553e0bdf7cbdd3011b86e579d742852d2d757389f97a463b45 + manager: conda + name: openjpeg + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/openjpeg-2.5.0-h5d0d7b0_1.tar.bz2 + version: 2.5.0 +- category: main + dependencies: + python: '>=3.7' + hash: + md5: 0e8e1bd93998978fc3125522266d12db + sha256: 163f26e55246c506a75551ca01f35c7d4d533aee6db5c4cf2d598ae253e956b8 + manager: conda + name: packaging + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/packaging-22.0-pyhd8ed1ab_0.conda + version: '22.0' - category: full dependencies: python: '!=3.0,!=3.1,!=3.2,!=3.3' @@ -6384,14 +6454,14 @@ package: dependencies: python: '>=3.7' hash: - md5: 2fb3f88922e7aec26ba652fcdfe13950 - sha256: a46843e317318405a8c66b640e7ad0c95d2f536918faa4f36cdfcda852000bcd + md5: b1b2ab02d1ece1719f7fa002ad4bc70d + sha256: 84f269198487823eaf5dbd1f1dd62f2f04c5dd98b66bb7e043cc6478dbf04f2e manager: conda name: platformdirs optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-2.5.2-pyhd8ed1ab_1.tar.bz2 - version: 2.5.2 + url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-2.6.0-pyhd8ed1ab_0.conda + version: 2.6.0 - category: dev dependencies: python: '>=3.8' @@ -6404,42 +6474,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.0.0-pyhd8ed1ab_5.tar.bz2 version: 1.0.0 -- category: full - dependencies: - krb5: '>=1.19.3,<1.20.0a0' - libpq: 14.5 hd79e848_1 - libxml2: '>=2.10.3,<2.11.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' - readline: '>=8.1.2,<9.0a0' - tzcode: '' - tzdata: '' - zlib: '' - hash: - md5: 3688a215054b40c25fc5ae47d07ab0cd - sha256: f2276cab09db1e5340c8803a51a835e2a5ff4db06045e2f80e271fa5d668eb65 - manager: conda - name: postgresql - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/postgresql-14.5-hae21482_1.tar.bz2 - version: '14.5' -- category: full - dependencies: - libcurl: '>=7.83.1,<8.0a0' - libcxx: '>=14.0.4' - libsqlite: '>=3.39.3,<4.0a0' - libtiff: '>=4.4.0,<5.0a0' - sqlite: '>=3.39.3,<4.0a0' - hash: - md5: 78ee95e87e5143d0e4a17d4aeef56411 - sha256: 4858f8a83f8a139a8bd38b76e6ebc51ba29b0c1a868caedaf4ea78c3cb9c718f - manager: conda - name: proj - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/proj-9.1.0-hcbd9701_0.tar.bz2 - version: 9.1.0 - category: full dependencies: python: '>=3.6' @@ -6452,6 +6486,19 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.15.0-pyhd8ed1ab_0.tar.bz2 version: 0.15.0 +- category: main + dependencies: + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: fde4dae8cd4d545d53e20d371ffd4c77 + sha256: 4e81064087ca1938c04d8e9dd1e8be92f686a56f7ebf0da5371beea9fc5f2a24 + manager: conda + name: psutil + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/psutil-5.9.4-py39ha30fb19_0.tar.bz2 + version: 5.9.4 - category: full dependencies: python: '' @@ -6500,6 +6547,19 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.0.9-pyhd8ed1ab_0.tar.bz2 version: 3.0.9 +- category: full + dependencies: + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: 0c3335afb53c57ea3e88e69bd51e717b + sha256: 513dbfab4589ff40590d7e25d69bbb3429f6b7b85830006ef1252b318eee52ec + manager: conda + name: pyrsistent + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/pyrsistent-0.19.2-py39ha30fb19_0.tar.bz2 + version: 0.19.2 - category: main dependencies: __unix: '' @@ -6527,28 +6587,46 @@ package: version: 2.16.2 - category: main dependencies: - python: 3.9.* + python: '>=3.6' hash: - md5: 262f557ee8ca777fe2190956038024cd - sha256: 684ad12c7e7f92aa2794c45c3a0e0f6a0c0e6251819126c065ee0d0b4da166dc + md5: b1f26ad83328e486910ef7f6e81dc061 + sha256: d82fa6df6707afaf7e9f7034c810ced6e5c2b313ce9bf49eeee613b0711da0ab manager: conda - name: python_abi + name: pytz optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.9-2_cp39.tar.bz2 - version: '3.9' + url: https://conda.anaconda.org/conda-forge/noarch/pytz-2022.6-pyhd8ed1ab_0.tar.bz2 + version: '2022.6' - category: main dependencies: - python: '>=3.6' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + yaml: '>=0.2.5,<0.3.0a0' hash: - md5: 565724d09157870f0e469b1a0a172a6d - sha256: 0fc68b442d74920858fe7e4760c10efb22610fb27f28d2bfe98296b7ef2078f0 + md5: 45794cac8eadcc11b3f26dda1705bf62 + sha256: 6edf2777c7f6b542d3495d4b2c8f455dfcf5e6351f4ceca9265aac9ace4beac2 manager: conda - name: pytz + name: pyyaml optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytz-2022.5-pyhd8ed1ab_0.tar.bz2 - version: '2022.5' + url: https://conda.anaconda.org/conda-forge/osx-64/pyyaml-6.0-py39ha30fb19_5.tar.bz2 + version: '6.0' +- category: full + dependencies: + libcxx: '>=14.0.4' + libsodium: '>=1.0.18,<1.0.19.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + zeromq: '>=4.3.4,<4.4.0a0' + hash: + md5: d6fba77eb1eccaa1e89f1adbac9d8e1d + sha256: 0f27dac3740474a0698716317a29f0402ae0bd20bcfffa29ba80d24bb2f4ca2f + manager: conda + name: pyzmq + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/pyzmq-24.0.1-py39hed8f129_1.tar.bz2 + version: 24.0.1 - category: full dependencies: python: '>=3.6' @@ -6565,14 +6643,14 @@ package: dependencies: python: '>=3.7' hash: - md5: 462466739c786f85f9ed555f87099fe1 - sha256: 8c1e25e2aae26973bbfe074dcb34a8b4904357048f4e83cb21e8843ee36c1fd5 + md5: cfb8dc4d9d285ca5fb1177b9dd450e33 + sha256: 55521371cfbd1bc046c362a108f9b8e294c35604896757659c6fb6765b6955c2 manager: conda name: setuptools optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/setuptools-65.5.0-pyhd8ed1ab_0.tar.bz2 - version: 65.5.0 + url: https://conda.anaconda.org/conda-forge/noarch/setuptools-65.5.1-pyhd8ed1ab_0.tar.bz2 + version: 65.5.1 - category: main dependencies: python: '' @@ -6693,18 +6771,31 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/toolz-0.12.0-pyhd8ed1ab_0.tar.bz2 version: 0.12.0 +- category: main + dependencies: + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: 82c1e73cdc3ae881ef28d56a3a58225c + sha256: 9b390d4f3d632e1c6751dc10bfb73fc2400ef771e306b8eac65fb8febe053309 + manager: conda + name: tornado + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.1-py39h63b48b0_3.tar.bz2 + version: '6.1' - category: full dependencies: python: '>=3.7' hash: - md5: 63650c013737b2801811bcd94524e863 - sha256: c5a333fa75f4d9ef577631a0ec6a3eb9d3538b5bc873286679cb3851419bf55b + md5: 96a8c913bcd01dd9ab7360290aeb4c42 + sha256: db45ac7c39fbc710ae0c178ac43eee642811f408be7778d1d5c4156618310cbe manager: conda name: traitlets optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.5.0-pyhd8ed1ab_0.tar.bz2 - version: 5.5.0 + url: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.7.1-pyhd8ed1ab_0.conda + version: 5.7.1 - category: dev dependencies: python: '>=3' @@ -6729,6 +6820,19 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.4.0-pyha770c72_0.tar.bz2 version: 4.4.0 +- category: main + dependencies: + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: 17876b4aebf783fb7bba980a79516892 + sha256: 06ff21e0a28f5acee3719fd8c788c4dffbed408f463c933f7f892399039962fc + manager: conda + name: unicodedata2 + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/unicodedata2-15.0.0-py39ha30fb19_0.tar.bz2 + version: 15.0.0 - category: main dependencies: python: '>=3.6' @@ -6757,52 +6861,51 @@ package: dependencies: python: '>=3.7' hash: - md5: f3b20ec2c97bad7104679b1d62eb7a11 - sha256: 911ac2b5c2bbe602c806ded8e5a40bd132e99ffa1dda10e27e6bc046c962fed6 + md5: 5309fca1777cfdd2d7ab582edb8cc41a + sha256: cf252c7ce64ab21e6dac77f070046f7523a9027059ab50856a17c3178f8c9187 manager: conda name: websocket-client optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.4.1-pyhd8ed1ab_0.tar.bz2 - version: 1.4.1 + url: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.4.2-pyhd8ed1ab_0.tar.bz2 + version: 1.4.2 - category: main dependencies: - python: '!=3.0,!=3.1,!=3.2,!=3.3,!=3.4' + python: '>=3.7' hash: - md5: 1ca02aaf78d9c70d9a81a3bed5752022 - sha256: aede66e6370f3b936164a703e48362f9080d7162234058fb2ee63cc84d528afc + md5: c829cfb8cb826acb9de0ac1a2df0a940 + sha256: bd4f11ff075ff251ade9f57686f31473e25be46ab282d9603f551401250f9f44 manager: conda name: wheel optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.37.1-pyhd8ed1ab_0.tar.bz2 - version: 0.37.1 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.38.4-pyhd8ed1ab_0.tar.bz2 + version: 0.38.4 +- category: dev dependencies: - icu: '>=70.1,<71.0a0' - libcurl: '>=7.85.0,<8.0a0' - libcxx: '>=14.0.4' - hash: - md5: da5951ed1609c4fdd135db32c4c8ef36 - sha256: eadb97d75fb8d375474c31d9f3c622869a2413be5c048d3a830e1e4482d65283 + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: 1f32082a7afac6f4b7255d4d3be520e0 + sha256: ad1587b6685aebb0e0f912020f3dc02e00626912953f49591f9c7aac230aeaf4 manager: conda - name: xerces-c + name: wrapt optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/xerces-c-3.2.4-h2007e90_1.tar.bz2 - version: 3.2.4 + url: https://conda.anaconda.org/conda-forge/osx-64/wrapt-1.14.1-py39ha30fb19_1.tar.bz2 + version: 1.14.1 - category: full dependencies: python: '>=3.7' hash: - md5: cd4eb48ebde7de61f92252979aab515c - sha256: 942b80980ae3db52f032720c82c2d4fb3f463b228762fc2d6a2684d6438fcc29 + md5: 09b5b885341697137879a4f039a9e5a1 + sha256: d98e41fe62edde9d979d79114f8cffa992ca86f4e7428c75e3c8b8fd6ab040a3 manager: conda name: zipp optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.10.0-pyhd8ed1ab_0.tar.bz2 - version: 3.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.11.0-pyhd8ed1ab_0.conda + version: 3.11.0 - category: full dependencies: python: '>=3.9,<3.10.0a0' @@ -6838,14 +6941,14 @@ package: python: '>=3.5' six: '' hash: - md5: 2e19652c1276ecec6477db3c60ca26c8 - sha256: fc97e082f049973612638b00280cbdd1aa839363b3be2b58e00b90e63657299d + md5: bf7f54dd0f25c3f06ecb82a07341841a + sha256: 7ed530efddd47a96c11197906b4008405b90e3bc2f4e0df722a36e0e6103fd9c manager: conda name: asttokens optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.1.0-pyhd8ed1ab_0.tar.bz2 - version: 2.1.0 + url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.2.1-pyhd8ed1ab_0.conda + version: 2.2.1 - category: full dependencies: backports: '' @@ -6875,18 +6978,33 @@ package: version: 4.11.1 - category: full dependencies: - libcxx: '>=14.0.4' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + packaging: '' + python: '>=3.6' + setuptools: '' + six: '>=1.9.0' + webencodings: '' hash: - md5: e98d2cfd5593cd70dd434989e5b5bce5 - sha256: 4b208c8e587be38b905e7d3a4c32dddfc034b1230bbea0bf8b419bfdea79b615 + md5: 1f5151d37e4a2b1137f81c89a3a769f2 + sha256: b85dd43a40efd13c860086365d181eb9bc64cc757c36a05edc7544c3fa622bf8 manager: conda - name: brotli-python + name: bleach optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.0.9-py39h7a8716b_8.tar.bz2 - version: 1.0.9 + url: https://conda.anaconda.org/conda-forge/noarch/bleach-5.0.1-pyhd8ed1ab_0.tar.bz2 + version: 5.0.1 +- category: full + dependencies: + brotli: '>=1.0.9,<2.0a0' + libcxx: '>=11.0.0' + hash: + md5: 28d47920c95b85499c9a61994cc49b87 + sha256: e9abc53437889e03013b466521f928903fa27de770d16eb5f4ac6c4266a7b6a4 + manager: conda + name: brunsli + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/brunsli-0.1-h046ec9c_0.tar.bz2 + version: '0.1' - category: main dependencies: cached_property: '>=1.5.2,<1.5.3.0a0' @@ -6899,6 +7017,26 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2 version: 1.5.2 +- category: full + dependencies: + fontconfig: '>=2.13.96,<3.0a0' + fonts-conda-ecosystem: '' + freetype: '>=2.12.1,<3.0a0' + icu: '>=70.1,<71.0a0' + libglib: '>=2.72.1,<3.0a0' + libpng: '>=1.6.38,<1.7.0a0' + libzlib: '>=1.2.12,<1.3.0a0' + pixman: '>=0.40.0,<1.0a0' + zlib: '>=1.2.12,<1.3.0a0' + hash: + md5: 2e7b4350178ed52bb6fd2b1ecbeeed4f + sha256: a41a819cf32b87492098332c9f2a2c4b1055489efdad4a8be75a086ffc8573c5 + manager: conda + name: cairo + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/cairo-1.16.0-h904041c_1014.tar.bz2 + version: 1.16.0 - category: main dependencies: libffi: '>=3.4,<4.0a0' @@ -6914,6 +7052,22 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/osx-64/cffi-1.15.1-py39h131948b_2.tar.bz2 version: 1.15.1 +- category: full + dependencies: + bzip2: '>=1.0.8,<2.0a0' + libcurl: '>=7.86.0,<8.0a0' + libgfortran: 5.* + libgfortran5: '>=11.3.0' + libzlib: '>=1.2.13,<1.3.0a0' + hash: + md5: 28e03cefd79aa28ec0e313e5a9c71f5b + sha256: 9e4746e64dd54030777ee77f6cb729374e877da2322236c10563dff27b877660 + manager: conda + name: cfitsio + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/cfitsio-4.2.0-hd56cc12_0.conda + version: 4.2.0 - category: full dependencies: click: '>=3.0' @@ -6940,6 +7094,19 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/cligj-0.7.2-pyhd8ed1ab_1.tar.bz2 version: 0.7.2 +- category: full + dependencies: + python: '>=3.6' + traitlets: '>=5.3' + hash: + md5: 3c78af4752bb1600ebe5e83ef4588eaa + sha256: b33f5e5eb2bedefc3db622dd0b2f4ea67b621080153913eb22486aac78b6f54f + manager: conda + name: comm + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/comm-0.1.2-pyhd8ed1ab_0.conda + version: 0.1.2 - category: dev dependencies: python: '>=3.9,<3.10.0a0' @@ -6954,6 +7121,22 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/osx-64/coverage-6.5.0-py39ha30fb19_1.tar.bz2 version: 6.5.0 +- category: full + dependencies: + krb5: '>=1.19.3,<1.20.0a0' + libcurl: 7.86.0 h581aaea_1 + libssh2: '>=1.10.0,<2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + openssl: '>=3.0.7,<4.0a0' + hash: + md5: 9caafb7cb35bf100d31b15e27e29eb38 + sha256: 7481972f27c04ebc812f645453865bc5bca12706dec8cb45b5a0bb58b1f48fbb + manager: conda + name: curl + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/curl-7.86.0-h581aaea_1.tar.bz2 + version: 7.86.0 - category: main dependencies: python: '>=3.9,<3.10.0a0' @@ -6968,89 +7151,104 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/osx-64/cytoolz-0.12.0-py39ha30fb19_1.tar.bz2 version: 0.12.0 -- category: full +- category: main dependencies: - libcxx: '>=14.0.4' + brotli: '' + munkres: '' python: '>=3.9,<3.10.0a0' python_abi: 3.9.* *_cp39 + unicodedata2: '>=14.0.0' hash: - md5: 7c76e49b2e9a88e8e91d3d5e9765e759 - sha256: ed6b1e72dbf2922b94f68e811f0533e92e8c836b951896819425b176e52a1438 + md5: d4ef9879362c40c8c346a0b6cd79f2e0 + sha256: 6875cb8e44e09332b59f276c3b32be05906206f8a19e773d8c765feeae6dac4b manager: conda - name: debugpy - optional: true + name: fonttools + optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.6.3-py39h7a8716b_1.tar.bz2 - version: 1.6.3 -- category: full + url: https://conda.anaconda.org/conda-forge/osx-64/fonttools-4.38.0-py39ha30fb19_1.tar.bz2 + version: 4.38.0 +- category: main dependencies: - jpeg: '>=9e,<10a' - libcxx: '>=14.0.4' - libtiff: '>=4.4.0,<5.0a0' + libcurl: '>=7.83.1,<8.0a0' + libcxx: '>=13.0.1' + libgfortran: 5.* + libgfortran5: '>=9.3.0' libzlib: '>=1.2.12,<1.3.0a0' - proj: '>=9.1.0,<9.1.1.0a0' - zlib: '>=1.2.12,<1.3.0a0' + openssl: '>=3.0.5,<4.0a0' hash: - md5: 7fab5b9379958e9d3f784842c00c8e66 - sha256: 828e0b381c31c3d188e1be9c2fda16a13442ff5d2a2634672187a28e86fc99b0 + md5: a6e9b643c5d6fd3ac2b04e8279290191 + sha256: f2deaaa747adc9d8e5a23e74bb6878f130533d318958c5cf2e3e94ff67984c03 manager: conda - name: geotiff - optional: true + name: hdf5 + optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/geotiff-1.7.1-he29fd1c_4.tar.bz2 - version: 1.7.1 + url: https://conda.anaconda.org/conda-forge/osx-64/hdf5-1.12.2-nompi_h1f71328_100.tar.bz2 + version: 1.12.2 - category: full dependencies: python: '>=3.8' zipp: '>=0.5' hash: - md5: ec069c4db6a0ad84107bac5da62819d2 - sha256: cea7928e6949c3ecd15e56ee8fa4e54efa8bb82738b8264e0489847e86e022c8 + md5: 46a62e35b9ae515cf0e49afc7fe0e7ef + sha256: 6e5e45c3cc3ba9fc854cd80960d775ff6c042e1f0b1351ca2e294b1b9d987d8c manager: conda name: importlib-metadata optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-5.0.0-pyha770c72_1.tar.bz2 - version: 5.0.0 + url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-5.1.0-pyha770c72_0.conda + version: 5.1.0 - category: full dependencies: python: '>=3.6' zipp: '>=3.1.0' hash: - md5: eb521efe7f5550de7573bc1629b74a05 - sha256: d4929ef6dd4ba4222dc2bd737c365833b896a3ee89f9e5142df763799b5ca944 + md5: db5d88c84c769798bf4b2f6776446b32 + sha256: 89347f8b0bcc0fcc31620cc5745f1cb34e71b9f7692a0384cb411090daea192f manager: conda name: importlib_resources optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.10.0-pyhd8ed1ab_0.tar.bz2 - version: 5.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.10.1-pyhd8ed1ab_0.conda + version: 5.10.1 - category: dev dependencies: python: '>=3.6,<4.0' setuptools: '' hash: - md5: 83df9ffefe1cc01d9e60405bf871bfdb - sha256: b9c74f448872cea7ecc10c6f3ec718427ec9632d446e102ef9525f23c172cf5a + md5: 9ee052b5a12b65ecce7a854a38675106 + sha256: 8288fe6d26deaf90b720f0c3f6e5b908d750dec6fb5a85ca05886030e1478667 manager: conda name: isort optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/isort-5.10.1-pyhd8ed1ab_0.tar.bz2 - version: 5.10.1 + url: https://conda.anaconda.org/conda-forge/noarch/isort-5.11.1-pyhd8ed1ab_0.conda + version: 5.11.1 - category: full dependencies: parso: '>=0.8.0,<0.9.0' python: '>=3.6' hash: - md5: 0e613217e78777045199372a2b0d5bd2 - sha256: 1c7150635f00455037bbede8a6c0086531c45e8e257ff6eaaf7aa134ccd20767 + md5: b5e695ef9c3f0d27d6cd96bf5adc9e07 + sha256: abe63ae6e1b13f83500608d94004cb8d485b264083511d77f79253e775cd546c manager: conda name: jedi optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.18.1-pyhd8ed1ab_2.tar.bz2 - version: 0.18.1 + url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.18.2-pyhd8ed1ab_0.conda + version: 0.18.2 +- category: main + dependencies: + markupsafe: '>=2.0' + python: '>=3.7' + hash: + md5: c8490ed5c70966d232fdd389d0dbed37 + sha256: b045faba7130ab263db6a8fdc96b1a3de5fcf85c4a607c5f11a49e76851500b5 + manager: conda + name: jinja2 + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2 + version: 3.1.2 - category: main dependencies: python: '>=3.6' @@ -7066,249 +7264,105 @@ package: version: 1.2.0 - category: full dependencies: + platformdirs: '>=2.5' python: '>=3.9,<3.10.0a0' python_abi: 3.9.* *_cp39 - traitlets: '' + traitlets: '>=5.3' hash: - md5: 82b6af110b1b4c30a801abb4fd694e91 - sha256: 6942c2ecef9975a4bac4a33d96aeff214c0c9488ae9cc636c5ab40e360f0c656 + md5: a4c9fe8c65922f6411436f736f8c5d17 + sha256: c26f0c862958074408a32873b11da63ced50d66c4e0af06547965025b3ce4392 manager: conda name: jupyter_core optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/jupyter_core-4.11.1-py39h6e9494a_1.tar.bz2 - version: 4.11.1 -- category: full + url: https://conda.anaconda.org/conda-forge/osx-64/jupyter_core-5.1.0-py39h6e9494a_0.conda + version: 5.1.0 +- category: main dependencies: - hdf5: '>=1.12.2,<1.12.3.0a0' - libcxx: '>=13.0.1' + libblas: 3.9.0 16_osx64_mkl hash: - md5: ba621f335dfb9762c13b64855ed3e68e - sha256: ce2abc9e4a0f53b83d583f8780cd31447c65c39acfe3e9263010037038b99916 + md5: 430c4d18fd8bbc987c4367f5d16135cf + sha256: cea791941c65d70883937ceba5ab930a4c97cd2d74451fd0e6b1e06526299a55 manager: conda - name: kealib - optional: true + name: libcblas + optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/kealib-1.4.15-h51f5cc1_1.tar.bz2 - version: 1.4.15 + url: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-16_osx64_mkl.tar.bz2 + version: 3.9.0 - category: main dependencies: - libcxx: '>=14.0.4' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + libblas: 3.9.0 16_osx64_mkl hash: - md5: 7720e059630e25ab17ab12677e59c615 - sha256: c397173c92ca77678d645bf8ef8064e81b821169db056217963f020acc09d42c + md5: 757f1ae46973ce6542784d99b9984d8d + sha256: 1df7a4e75ccafef1ed768b947cce6817eb98eee235fb61e768046f084cc5f48f manager: conda - name: kiwisolver + name: liblapack optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/kiwisolver-1.4.4-py39h92daf61_1.tar.bz2 - version: 1.4.4 -- category: dev + url: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-16_osx64_mkl.tar.bz2 + version: 3.9.0 +- category: full dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + python: '>=3.6' + traitlets: '' hash: - md5: d2c7fe4ff28696c63cb03ebd8782f5df - sha256: 8316f191b4ea033dfba0a1c94c9dcc1b5b9af2d66205b76250cb4509171a1786 + md5: b21613793fcc81d944c76c9f2864a7de + sha256: aa091b88aec55bfa2d9207028d8cdc689b9efb090ae27b99557e93c675be2f3c manager: conda - name: lazy-object-proxy + name: matplotlib-inline optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/lazy-object-proxy-1.8.0-py39ha30fb19_0.tar.bz2 - version: 1.8.0 + url: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.6-pyhd8ed1ab_0.tar.bz2 + version: 0.1.6 - category: full dependencies: - curl: '>=7.75.0,<8.0a0' - libcxx: '>=11.1.0' - libxml2: '>=2.9.10,<2.11.0a0' + python: '' + setuptools: '>=17.1' + six: '' hash: - md5: 55e0706347eb18f3616808366236bcaa - sha256: 2bd0467dd3aca8167d2dc67913c579b1c6097575fe511e497ce2143c31c57526 + md5: 31d9e9be500e25ff0050bc9f57a6bcd7 + sha256: bd885bec8b012abf0c5ca5d6225caf0e88e5b2b0af8fa5a4e4d339604d3e9cd1 manager: conda - name: libdap4 + name: munch optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libdap4-3.20.6-h3e144a0_2.tar.bz2 - version: 3.20.6 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/munch-2.5.0-py_0.tar.bz2 + version: 2.5.0 +- category: main dependencies: - bzip2: '>=1.0.8,<2.0a0' - curl: '' - hdf4: '>=4.2.15,<4.2.16.0a0' - hdf5: '>=1.12.2,<1.12.3.0a0' - jpeg: '>=9e,<10a' - libcxx: '>=11.1.0' - libxml2: '>=2.10.3,<2.11.0a0' - libzip: '>=1.9.2,<2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' + locket: '' + python: '>=3.7' + toolz: '' hash: - md5: 502e31e4a400216854da4e9933fb21c2 - sha256: 4244e653e61a74402435c3d074be4b2315ff48a3d6ff3a739501a241be429fa0 + md5: af8c82d121e63082926062d61d9abb54 + sha256: 0bba1886af3b9aaa398e237dc481c1afb06289b81c5434bf51d089b553f0035b manager: conda - name: libnetcdf - optional: true + name: partd + optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libnetcdf-4.8.1-nompi_hc61b76e_106.tar.bz2 - version: 4.8.1 + url: https://conda.anaconda.org/conda-forge/noarch/partd-1.3.0-pyhd8ed1ab_0.tar.bz2 + version: 1.3.0 - category: full dependencies: - freexl: '>=1.0.6,<2.0a0' - geos: '>=3.11.0,<3.11.1.0a0' - libcxx: '>=14.0.4' - libiconv: '>=1.17,<2.0.0a0' - librttopo: '>=1.1.0,<1.2.0a0' - libsqlite: '>=3.39.3,<4.0a0' - libxml2: '>=2.10.2,<2.11.0a0' - libzlib: '>=1.2.12,<1.3.0a0' - proj: '>=9.1.0,<9.1.1.0a0' - sqlite: '>=3.39.3,<4.0a0' - zlib: '>=1.2.12,<1.3.0a0' + ptyprocess: '>=0.5' + python: '' hash: - md5: 0a412d151277ce5974a00e23eb49b07c - sha256: 3cc41d7636d36d7373c9ac28161f6362a1a136bb0b3a514d231c3aaac87db052 + md5: 330448ce4403cc74990ac07c555942a1 + sha256: 07706c0417ead94f359ca7278f65452d3c396448777aba1da6a11fc351bdca9a manager: conda - name: libspatialite + name: pexpect optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libspatialite-5.0.1-h778c766_21.tar.bz2 - version: 5.0.1 + url: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.8.0-pyh1a96a4e_2.tar.bz2 + version: 4.8.0 - category: main dependencies: - libcxx: '>=14.0.4' - libllvm11: '>=11.1.0,<11.2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - hash: - md5: 1ade05a3d2c999bd14675dcdaf763b38 - sha256: 43e5f08d584ab5b2d5006cb6c91bd7580b3445b7edaaaa908a7b450b0e8a47ac - manager: conda - name: llvmlite - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/llvmlite-0.39.1-py39had167e2_1.tar.bz2 - version: 0.39.1 -- category: main - dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - hash: - md5: ff153f279e1f29f64d98245b8a042e85 - sha256: 561cae5f3603823655efb688c5c5f71d2283ff84771a84244b0780bb1d4e2f15 - manager: conda - name: markupsafe - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/markupsafe-2.1.1-py39ha30fb19_2.tar.bz2 - version: 2.1.1 -- category: full - dependencies: - python: '>=3.6' - traitlets: '' - hash: - md5: b21613793fcc81d944c76c9f2864a7de - sha256: aa091b88aec55bfa2d9207028d8cdc689b9efb090ae27b99557e93c675be2f3c - manager: conda - name: matplotlib-inline - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.6-pyhd8ed1ab_0.tar.bz2 - version: 0.1.6 -- category: main - dependencies: - libcxx: '>=14.0.4' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - hash: - md5: 1514cec1741a05af5d55d0e792e9dee6 - sha256: ad9b957b549d62a64cb4c01a888e5561df2ce03e5d644fdbbf6525b82f30f47b - manager: conda - name: msgpack-python - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/msgpack-python-1.0.4-py39h92daf61_1.tar.bz2 - version: 1.0.4 -- category: full - dependencies: - python: '' - setuptools: '>=17.1' - six: '' - hash: - md5: 31d9e9be500e25ff0050bc9f57a6bcd7 - sha256: bd885bec8b012abf0c5ca5d6225caf0e88e5b2b0af8fa5a4e4d339604d3e9cd1 - manager: conda - name: munch - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/munch-2.5.0-py_0.tar.bz2 - version: 2.5.0 -- category: main - dependencies: - libblas: '>=3.9.0,<4.0a0' - libcblas: '>=3.9.0,<4.0a0' - libcxx: '>=14.0.4' - liblapack: '>=3.9.0,<4.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - hash: - md5: b3006af08cbaea37b4d8ee814e643adb - sha256: 990d95a13544867feda9fcab07a681599b0c7e01db88ee70f7ca9a727be4bf44 - manager: conda - name: numpy - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/numpy-1.23.4-py39hdfa1d0c_1.tar.bz2 - version: 1.23.4 -- category: main - dependencies: - pyparsing: '>=2.0.2,!=3.0.5' - python: '>=3.6' - hash: - md5: 71f1ab2de48613876becddd496371c85 - sha256: 8322a9e93e2e09fbf2103f0d37c9287b7b97387125abadd6db26686084893540 - manager: conda - name: packaging - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/packaging-21.3-pyhd8ed1ab_0.tar.bz2 - version: '21.3' -- category: main - dependencies: - locket: '' - python: '>=3.7' - toolz: '' - hash: - md5: af8c82d121e63082926062d61d9abb54 - sha256: 0bba1886af3b9aaa398e237dc481c1afb06289b81c5434bf51d089b553f0035b - manager: conda - name: partd - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/partd-1.3.0-pyhd8ed1ab_0.tar.bz2 - version: 1.3.0 -- category: full - dependencies: - ptyprocess: '>=0.5' - python: '' - hash: - md5: 330448ce4403cc74990ac07c555942a1 - sha256: 07706c0417ead94f359ca7278f65452d3c396448777aba1da6a11fc351bdca9a - manager: conda - name: pexpect - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.8.0-pyh1a96a4e_2.tar.bz2 - version: 4.8.0 -- category: main - dependencies: - freetype: '>=2.12.1,<3.0a0' - jpeg: '>=9e,<10a' - lcms2: '>=2.12,<3.0a0' - libtiff: '>=4.4.0,<5.0a0' - libwebp-base: '>=1.2.4,<2.0a0' - libxcb: '>=1.13,<1.14.0a0' + freetype: '>=2.12.1,<3.0a0' + jpeg: '>=9e,<10a' + lcms2: '>=2.12,<3.0a0' + libtiff: '>=4.4.0,<5.0a0' + libwebp-base: '>=1.2.4,<2.0a0' + libxcb: '>=1.13,<1.14.0a0' libzlib: '>=1.2.13,<1.3.0a0' openjpeg: '>=2.5.0,<3.0a0' python: '>=3.9,<3.10.0a0' @@ -7329,69 +7383,63 @@ package: setuptools: '' wheel: '' hash: - md5: 6f4c6de9fed2a9bd8043283611b09587 - sha256: 9300dd4a4ca6ced6ebaf455e7be43aeb47e1d764de1c3f448d9dc98ab3b32942 + md5: da66f2851b9836d3a7c5190082a45f7d + sha256: 7a86b2427abbf5cf695da192ba1c03130115f157297e7bfde65f0a18a345a7bc manager: conda name: pip optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/pip-22.3-pyhd8ed1ab_0.tar.bz2 - version: '22.3' + url: https://conda.anaconda.org/conda-forge/noarch/pip-22.3.1-pyhd8ed1ab_0.tar.bz2 + version: 22.3.1 - category: full dependencies: python: '>=3.6' tenacity: '>=6.2.0' hash: - md5: 71aef86c572ad0ee49dba9af238d9c13 - sha256: b41f31aa81bff52d1d473a9f4a45c5600f36b8b7f259a8a572467d1836bad59a + md5: e594a3343150c5c470902d46e1723b45 + sha256: 60de0401c5bd29db1d3112cc56919010d89cfd38239f122c51df78ea5fd82e7e manager: conda name: plotly optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/plotly-5.11.0-pyhd8ed1ab_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/noarch/plotly-5.11.0-pyhd8ed1ab_1.conda version: 5.11.0 - category: full dependencies: - boost-cpp: '>=1.78.0,<1.78.1.0a0' - cairo: '>=1.16.0,<2.0a0' - fontconfig: '>=2.14.0,<3.0a0' - fonts-conda-ecosystem: '' - freetype: '>=2.12.1,<3.0a0' - gettext: '>=0.21.1,<1.0a0' - jpeg: '>=9e,<10a' - lcms2: '>=2.12,<3.0a0' - libcurl: '>=7.85.0,<8.0a0' - libcxx: '>=14.0.4' - libglib: '>=2.74.0,<3.0a0' - libiconv: '>=1.17,<2.0a0' - libpng: '>=1.6.38,<1.7.0a0' - libtiff: '>=4.4.0,<5.0a0' + krb5: '>=1.19.3,<1.20.0a0' + libpq: 15.1 hb1ae2b1_1 + libxml2: '>=2.10.3,<2.11.0a0' libzlib: '>=1.2.13,<1.3.0a0' - nss: '>=3.78,<4.0a0' - openjpeg: '>=2.5.0,<3.0a0' - poppler-data: '' + openssl: '>=3.0.7,<4.0a0' + readline: '>=8.1.2,<9.0a0' + tzcode: '' + tzdata: '' + zlib: '' hash: - md5: 2c88e186559901701d8fa744197f424e - sha256: c61fa34594d650a512ab901078024bac7d3d83fa95aa74bdb1e4e162f3b4fa6d + md5: 8824fdf2c7e9fb3b05e568366a69baed + sha256: c429b053182e1814f722725d611568e555965792d80c78705af6bec536e6dcde manager: conda - name: poppler + name: postgresql optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/poppler-22.10.0-hf2ff1a1_0.tar.bz2 - version: 22.10.0 -- category: main + url: https://conda.anaconda.org/conda-forge/osx-64/postgresql-15.1-hae21482_1.conda + version: '15.1' +- category: full dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + libcurl: '>=7.83.1,<8.0a0' + libcxx: '>=14.0.4' + libsqlite: '>=3.39.3,<4.0a0' + libtiff: '>=4.4.0,<5.0a0' + sqlite: '>=3.39.3,<4.0a0' hash: - md5: 4891473a4507c0d2ffaa1eb93cff8dfe - sha256: 34c3328281bdc53f1cb9be5c0cfa71fff09889932a911c0aec64ce8be677bd40 + md5: 78ee95e87e5143d0e4a17d4aeef56411 + sha256: 4858f8a83f8a139a8bd38b76e6ebc51ba29b0c1a868caedaf4ea78c3cb9c718f manager: conda - name: psutil - optional: false + name: proj + optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/psutil-5.9.3-py39ha30fb19_1.tar.bz2 - version: 5.9.3 + url: https://conda.anaconda.org/conda-forge/osx-64/proj-9.1.0-hcbd9701_0.tar.bz2 + version: 9.1.0 - category: full dependencies: python: '>=3.6' @@ -7405,19 +7453,25 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/pygments-2.13.0-pyhd8ed1ab_0.tar.bz2 version: 2.13.0 -- category: full +- category: dev dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + attrs: '>=19.2.0' + colorama: '' + exceptiongroup: '' + iniconfig: '' + packaging: '' + pluggy: '>=0.12,<2.0' + python: '>=3.8' + tomli: '>=1.0.0' hash: - md5: 69794798dfef57af02798797bae062ce - sha256: 72db1d3fe56a57fa641f0bb7feaac06099a7f2d54cc0829819d7af2428d06ab6 + md5: ac82c7aebc282e6ac0450fca012ca78c + sha256: 854233dc2d0d64219b7e951ccf49c1f32332c6fc7085ecb62cc18bc1f4e791b0 manager: conda - name: pyrsistent + name: pytest optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/pyrsistent-0.18.1-py39ha30fb19_2.tar.bz2 - version: 0.18.1 + url: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.0-pyhd8ed1ab_2.tar.bz2 + version: 7.2.0 - category: main dependencies: python: '>=3.6' @@ -7431,36 +7485,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2 version: 2.8.2 -- category: main - dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - yaml: '>=0.2.5,<0.3.0a0' - hash: - md5: 45794cac8eadcc11b3f26dda1705bf62 - sha256: 6edf2777c7f6b542d3495d4b2c8f455dfcf5e6351f4ceca9265aac9ace4beac2 - manager: conda - name: pyyaml - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/pyyaml-6.0-py39ha30fb19_5.tar.bz2 - version: '6.0' -- category: full - dependencies: - libcxx: '>=14.0.4' - libsodium: '>=1.0.18,<1.0.19.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - zeromq: '>=4.3.4,<4.4.0a0' - hash: - md5: d6fba77eb1eccaa1e89f1adbac9d8e1d - sha256: 0f27dac3740474a0698716317a29f0402ae0bd20bcfffa29ba80d24bb2f4ca2f - manager: conda - name: pyzmq - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/pyzmq-24.0.1-py39hed8f129_1.tar.bz2 - version: 24.0.1 - category: full dependencies: python: '' @@ -7476,23 +7500,19 @@ package: version: 1.3.3 - category: full dependencies: - bzip2: '>=1.0.8,<2.0a0' - curl: '' - libcxx: '>=14.0.4' - libzlib: '>=1.2.13,<1.3.0a0' - lz4-c: '>=1.9.3,<1.10.0a0' - openssl: '>=3.0.5,<4.0a0' - zlib: '' - zstd: '>=1.5.2,<1.6.0a0' + __osx: '' + ptyprocess: '' + python: '>=3.7' + tornado: '>=6.1.0' hash: - md5: 6e9ceb8b47cf6c22443cea2fb0639f45 - sha256: 45f4e96600866e9f259f66b21b5b68369ecfd39252ccd0b3e1e77ab16e2d7ace + md5: 046120b71d8896cb7faef78bfdbfee1e + sha256: a2f8382ab390c74af592cc3566dc22e2ed81e5ac69c5b6417d1b7c22e63927bc manager: conda - name: tiledb + name: terminado optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/tiledb-2.11.3-h8b9cbf0_1.tar.bz2 - version: 2.11.3 + url: https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.1-pyhd1c38e8_0.conda + version: 0.17.1 - category: full dependencies: python: '>=3.5' @@ -7519,19 +7539,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.11.6-pyha770c72_0.tar.bz2 version: 0.11.6 -- category: main - dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - hash: - md5: 82c1e73cdc3ae881ef28d56a3a58225c - sha256: 9b390d4f3d632e1c6751dc10bfb73fc2400ef771e306b8eac65fb8febe053309 - manager: conda - name: tornado - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.1-py39h63b48b0_3.tar.bz2 - version: '6.1' - category: main dependencies: colorama: '' @@ -7557,32 +7564,33 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.4.0-hd8ed1ab_0.tar.bz2 version: 4.4.0 -- category: main +- category: full dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + markupsafe: '>=2.1.1' + python: '>=3.7' hash: - md5: 17876b4aebf783fb7bba980a79516892 - sha256: 06ff21e0a28f5acee3719fd8c788c4dffbed408f463c933f7f892399039962fc + md5: 8e69568592e552919201f730b01a58c2 + sha256: 3bb3d6a98f9e3c6081166d81368e4a0e48fdbfe19e683a957ac344b063c42412 manager: conda - name: unicodedata2 - optional: false + name: werkzeug + optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/unicodedata2-15.0.0-py39ha30fb19_0.tar.bz2 - version: 15.0.0 -- category: dev - dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + url: https://conda.anaconda.org/conda-forge/noarch/werkzeug-2.2.2-pyhd8ed1ab_0.tar.bz2 + version: 2.2.2 +- category: full + dependencies: + icu: '>=70.1,<71.0a0' + libcurl: '>=7.85.0,<8.0a0' + libcxx: '>=14.0.4' hash: - md5: 1f32082a7afac6f4b7255d4d3be520e0 - sha256: ad1587b6685aebb0e0f912020f3dc02e00626912953f49591f9c7aac230aeaf4 + md5: da5951ed1609c4fdd135db32c4c8ef36 + sha256: eadb97d75fb8d375474c31d9f3c622869a2413be5c048d3a830e1e4482d65283 manager: conda - name: wrapt + name: xerces-c optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/wrapt-1.14.1-py39ha30fb19_1.tar.bz2 - version: 1.14.1 + url: https://conda.anaconda.org/conda-forge/osx-64/xerces-c-3.2.4-h2007e90_1.tar.bz2 + version: 3.2.4 - category: main dependencies: heapdict: '' @@ -7619,30 +7627,14 @@ package: typing-extensions: '>=3.10' wrapt: '>=1.11,<2' hash: - md5: 84e8015ac4b88fc0c3380a73478add39 - sha256: 15fc8791f34fb1f165d5e81dd1095209e7e0caa0834e4597c8ce9b6141fbce89 + md5: a6f046b75e32c3ce556b921a91ffef49 + sha256: 36563dd2f5091911dc19127d223df756cf705679096468eec0975c0661b22f0d manager: conda name: astroid optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/astroid-2.12.12-py39h6e9494a_1.tar.bz2 - version: 2.12.12 -- category: full - dependencies: - packaging: '' - python: '>=3.6' - setuptools: '' - six: '>=1.9.0' - webencodings: '' - hash: - md5: 1f5151d37e4a2b1137f81c89a3a769f2 - sha256: b85dd43a40efd13c860086365d181eb9bc64cc757c36a05edc7544c3fa622bf8 - manager: conda - name: bleach - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/bleach-5.0.1-pyhd8ed1ab_0.tar.bz2 - version: 5.0.1 + url: https://conda.anaconda.org/conda-forge/osx-64/astroid-2.12.13-py39h6e9494a_0.conda + version: 2.12.13 - category: main dependencies: cffi: '>=1.0.0' @@ -7657,36 +7649,21 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/osx-64/brotlipy-0.7.0-py39ha30fb19_1005.tar.bz2 version: 0.7.0 -- category: main - dependencies: - libcxx: '>=14.0.4' - numpy: '>=1.16' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - hash: - md5: 68ff7bf827e07256fb6993cb3393a19b - sha256: 1903db269f8af54036d84c805ecef7fcf1ff1349d45456c646b2a265c3fd115e - manager: conda - name: contourpy - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/contourpy-1.0.6-py39h92daf61_0.tar.bz2 - version: 1.0.6 - category: main dependencies: cffi: '>=1.12' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' python: '>=3.9,<3.10.0a0' python_abi: 3.9.* *_cp39 hash: - md5: 1fe1df4923d80f2c2b0d3025d0ed3162 - sha256: c035859c8684071bfb845be76bc7e2c9bceb5007189ad34e26df579daa92a533 + md5: d71d3f70f5a0675624f322c7a8956b33 + sha256: db00313b44ab8cc7e6897d004f9466c4281c81c13c7d29af88974866ac064fab manager: conda name: cryptography optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/cryptography-38.0.2-py39hbeae22c_2.tar.bz2 - version: 38.0.2 + url: https://conda.anaconda.org/conda-forge/osx-64/cryptography-38.0.4-py39hbeae22c_0.conda + version: 38.0.4 - category: main dependencies: cloudpickle: '>=1.1.1' @@ -7705,108 +7682,40 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2022.10.0-pyhd8ed1ab_2.tar.bz2 version: 2022.10.0 -- category: main - dependencies: - brotli: '' - munkres: '' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - unicodedata2: '>=14.0.0' - hash: - md5: d4ef9879362c40c8c346a0b6cd79f2e0 - sha256: 6875cb8e44e09332b59f276c3b32be05906206f8a19e773d8c765feeae6dac4b - manager: conda - name: fonttools - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/fonttools-4.38.0-py39ha30fb19_1.tar.bz2 - version: 4.38.0 -- category: main +- category: full dependencies: - cached-property: '' - hdf5: '>=1.12.2,<1.12.3.0a0' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + click: '>=8.0' + importlib-metadata: '>=3.6.0' + itsdangerous: '>=2.0' + jinja2: '>=3.0' + python: '>=3.7' + werkzeug: '>=2.2.2' hash: - md5: 2b3ef033a4e3fcd909dbee1f05e0f978 - sha256: a8d50d8bf05625ed4e2b8daf239499842452d70995321ddcb190315ae19cc040 + md5: 85fad4c7889dd969ed4c02cf63cfe9c5 + sha256: e047c40122dc3fd53c534924271e9635d3dbf5ba606ccd2bd7f7c70b63697037 manager: conda - name: h5py - optional: false + name: flask + optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/h5py-3.7.0-nompi_py39h7d40783_102.tar.bz2 - version: 3.7.0 + url: https://conda.anaconda.org/conda-forge/noarch/flask-2.2.2-pyhd8ed1ab_0.tar.bz2 + version: 2.2.2 - category: full dependencies: - blosc: '>=1.21.1,<2.0a0' - brunsli: '>=0.1,<1.0a0' - bzip2: '>=1.0.8,<2.0a0' - c-blosc2: '>=2.4.3,<3.0a0' - cfitsio: '>=4.1.0,<4.1.1.0a0' - charls: '>=2.3.4,<2.4.0a0' - giflib: '>=5.2.1,<5.3.0a0' jpeg: '>=9e,<10a' - jxrlib: '>=1.1,<1.2.0a0' - lcms2: '>=2.12,<3.0a0' - lerc: '>=4.0.0,<5.0a0' - libaec: '>=1.0.6,<2.0a0' - libavif: '>=0.11.1,<0.11.2.0a0' - libbrotlicommon: '>=1.0.9,<1.1.0a0' - libbrotlidec: '>=1.0.9,<1.1.0a0' - libbrotlienc: '>=1.0.9,<1.1.0a0' libcxx: '>=14.0.4' - libdeflate: '>=1.14,<1.15.0a0' - libpng: '>=1.6.38,<1.7.0a0' libtiff: '>=4.4.0,<5.0a0' - libwebp-base: '>=1.2.4,<2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - libzopfli: '>=1.0.3,<1.1.0a0' - lz4-c: '>=1.9.3,<1.10.0a0' - numpy: '>=1.20.3,<2.0a0' - openjpeg: '>=2.5.0,<3.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - snappy: '>=1.1.9,<2.0a0' - xz: '>=5.2.6,<6.0a0' - zfp: '>=1.0.0,<2.0a0' - zstd: '>=1.5.2,<1.6.0a0' - hash: - md5: 4ebbc95370125db28b417716db9b19d8 - sha256: f52c89028cc3cbe35299455b0f6a07c863abdfbfa95b507ed45944aae73ac126 - manager: conda - name: imagecodecs - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/imagecodecs-2022.9.26-py39h1e0cc1c_3.tar.bz2 - version: 2022.9.26 -- category: full - dependencies: - numpy: '' - pillow: '>=8.3.2' - python: '>=3' + libzlib: '>=1.2.12,<1.3.0a0' + proj: '>=9.1.0,<9.1.1.0a0' + zlib: '>=1.2.12,<1.3.0a0' hash: - md5: 9d10b00d27b54836d40759608d558276 - sha256: 0f949184ba2b939c05c817b043566c616ea49e373989859e6cc47fd7aa8ea6fa + md5: 7fab5b9379958e9d3f784842c00c8e66 + sha256: 828e0b381c31c3d188e1be9c2fda16a13442ff5d2a2634672187a28e86fc99b0 manager: conda - name: imageio + name: geotiff optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/imageio-2.22.0-pyhfa7a67d_0.tar.bz2 - version: 2.22.0 -- category: main - dependencies: - markupsafe: '>=2.0' - python: '>=3.7' - hash: - md5: c8490ed5c70966d232fdd389d0dbed37 - sha256: b045faba7130ab263db6a8fdc96b1a3de5fcf85c4a607c5f11a49e76851500b5 - manager: conda - name: jinja2 - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2 - version: 3.1.2 + url: https://conda.anaconda.org/conda-forge/osx-64/geotiff-1.7.1-he29fd1c_4.tar.bz2 + version: 1.7.1 - category: full dependencies: attrs: '>=17.4.0' @@ -7817,14 +7726,14 @@ package: python: '>=3.7' typing_extensions: '' hash: - md5: f39774717a77d98673ea29d28a586a84 - sha256: ed3cb14323210e9b313cac99c545ea5bab53b3d545d2b7e5b3c359ee3ea8aa4e + md5: 723268a468177cd44568eb8f794e0d80 + sha256: 4f68a23430d1afc5c9b41c46fbac0ade33c0bf57a293c646bfdd6dc65350eada manager: conda name: jsonschema optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.16.0-pyhd8ed1ab_0.tar.bz2 - version: 4.16.0 + url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.17.3-pyhd8ed1ab_0.conda + version: 4.17.3 - category: full dependencies: entrypoints: '' @@ -7859,171 +7768,121 @@ package: version: 0.2.2 - category: full dependencies: - blosc: '>=1.21.1,<2.0a0' - cfitsio: '>=4.1.0,<4.1.1.0a0' - expat: '>=2.5.0,<3.0a0' - freexl: '>=1.0.6,<2.0a0' - geos: '>=3.11.0,<3.11.1.0a0' - geotiff: '>=1.7.1,<1.8.0a0' - giflib: '>=5.2.1,<5.3.0a0' + hdf5: '>=1.12.2,<1.12.3.0a0' + libcxx: '>=14.0.6' + hash: + md5: 4aab67daf291f97462a5a947aaad48ea + sha256: a61bfc6b1977a2d31d749b8061a9de93603326d1215ece0d6096fab10a735947 + manager: conda + name: kealib + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/kealib-1.5.0-h5c1f988_0.conda + version: 1.5.0 +- category: full + dependencies: + bzip2: '>=1.0.8,<2.0a0' + curl: '' hdf4: '>=4.2.15,<4.2.16.0a0' hdf5: '>=1.12.2,<1.12.3.0a0' - icu: '>=70.1,<71.0a0' jpeg: '>=9e,<10a' - json-c: '>=0.16,<0.17.0a0' - kealib: '>=1.4.15,<1.5.0a0' - libcxx: '>=14.0.4' - libdap4: '>=3.20.6,<3.20.7.0a0' - libkml: '>=1.3.0,<1.4.0a0' - libnetcdf: '>=4.8.1,<4.8.2.0a0' - libpng: '>=1.6.38,<1.7.0a0' - libpq: '>=14.5,<15.0a0' - libspatialite: '>=5.0.1,<5.1.0a0' - libsqlite: '>=3.39.4,<4.0a0' - libtiff: '>=4.4.0,<5.0a0' - libwebp-base: '>=1.2.4,<2.0a0' + libcxx: '>=11.1.0' libxml2: '>=2.10.3,<2.11.0a0' + libzip: '>=1.9.2,<2.0a0' libzlib: '>=1.2.13,<1.3.0a0' - openjpeg: '>=2.5.0,<3.0a0' - openssl: '>=3.0.5,<4.0a0' - pcre: '>=8.45,<9.0a0' - poppler: '>=22.10.0,<22.11.0a0' - postgresql: '' - proj: '>=9.1.0,<9.1.1.0a0' - tiledb: '>=2.11.3,<2.12.0a0' - xerces-c: '>=3.2.4,<3.3.0a0' - xz: '>=5.2.6,<6.0a0' - zstd: '>=1.5.2,<1.6.0a0' hash: - md5: c725236226ca6c98f96aa34fc11f59d5 - sha256: 3fc5e539f19f6c6335a88f105b38f167943466e360f017c5a9669a7e38b769dc + md5: 502e31e4a400216854da4e9933fb21c2 + sha256: 4244e653e61a74402435c3d074be4b2315ff48a3d6ff3a739501a241be429fa0 manager: conda - name: libgdal + name: libnetcdf optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/libgdal-3.5.3-h9ab8fee_0.tar.bz2 - version: 3.5.3 -- category: main + url: https://conda.anaconda.org/conda-forge/osx-64/libnetcdf-4.8.1-nompi_hc61b76e_106.tar.bz2 + version: 4.8.1 +- category: full dependencies: - libcxx: '>=14.0.4' - llvm-openmp: '>=14.0.4' - llvmlite: '>=0.39.1,<0.40.0a0' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - setuptools: '' + freexl: '>=1.0.6,<2.0a0' + geos: '>=3.11.1,<3.11.2.0a0' + libcxx: '>=14.0.6' + libiconv: '>=1.17,<2.0a0' + librttopo: '>=1.1.0,<1.2.0a0' + libsqlite: '>=3.39.4,<4.0a0' + libxml2: '>=2.10.3,<2.11.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + proj: '>=9.1.0,<9.1.1.0a0' + sqlite: '' + zlib: '' hash: - md5: 8fccb73f50c0d4dced78beba5f0917c2 - sha256: f9af9f5ada2350891b68aa559f0d8455c90347ef3f24c675e0c27c035a2238ae + md5: 13513d4171137de61c7f8dd7c2fa4e74 + sha256: 40bb31b0b18ec42a0fa5165347782be38ca5c71df33c7cd49e63825fa906e4f1 manager: conda - name: numba - optional: false + name: libspatialite + optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/numba-0.56.3-py39hf6b9d82_0.tar.bz2 - version: 0.56.3 + url: https://conda.anaconda.org/conda-forge/osx-64/libspatialite-5.0.1-hc1c2c66_22.tar.bz2 + version: 5.0.1 - category: main dependencies: - entrypoints: '' - libcxx: '>=13.0.1' - msgpack-python: '' - numpy: '>=1.7' + libblas: '>=3.9.0,<4.0a0' + libcblas: '>=3.9.0,<4.0a0' + libcxx: '>=14.0.6' + liblapack: '>=3.9.0,<4.0a0' python: '>=3.9,<3.10.0a0' python_abi: 3.9.* *_cp39 - typing-extensions: '>=3.7.4' hash: - md5: b6ed265ce1fc83fee203a49f76857b74 - sha256: 100c717883b05d189ec2357ae33ad2df95ae2d888ce8591b4e48245eed1ed266 + md5: 162e42439dbb526b1acb08f35546eaa4 + sha256: 069c2c0a37457a6625269a932c19d83f64857149415b9fe37012ddc17e20b09a manager: conda - name: numcodecs + name: numpy optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/numcodecs-0.10.2-py39hd91caee_0.tar.bz2 - version: 0.10.2 -- category: main + url: https://conda.anaconda.org/conda-forge/osx-64/numpy-1.23.5-py39hdfa1d0c_0.conda + version: 1.23.5 +- category: full dependencies: - libcxx: '>=14.0.4' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python-dateutil: '>=2.8.1' - python_abi: 3.9.* *_cp39 - pytz: '>=2020.1' + boost-cpp: '>=1.78.0,<1.78.1.0a0' + cairo: '>=1.16.0,<2.0a0' + fontconfig: '>=2.14.1,<3.0a0' + fonts-conda-ecosystem: '' + freetype: '>=2.12.1,<3.0a0' + gettext: '>=0.21.1,<1.0a0' + jpeg: '>=9e,<10a' + lcms2: '>=2.14,<3.0a0' + libcurl: '>=7.86.0,<8.0a0' + libcxx: '>=14.0.6' + libglib: '>=2.74.1,<3.0a0' + libiconv: '>=1.17,<2.0a0' + libpng: '>=1.6.39,<1.7.0a0' + libtiff: '>=4.4.0,<5.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + nss: '>=3.78,<4.0a0' + openjpeg: '>=2.5.0,<3.0a0' + poppler-data: '' hash: - md5: 4acbce5ece29ee80ac558b6ef54de21f - sha256: eee243707fafdeb63445d4376af30c0e4bfcfcacb162e9f130f171a54768b886 + md5: ad1c9f970971bc448424cff37c99eddd + sha256: be972dca85c1d79917451f5036062bcd8864b4ca3a1ae843f731933343bf2627 manager: conda - name: pandas - optional: false + name: poppler + optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/pandas-1.5.1-py39hecff1ad_1.tar.bz2 - version: 1.5.1 + url: https://conda.anaconda.org/conda-forge/osx-64/poppler-22.12.0-hf2ff1a1_0.conda + version: 22.12.0 - category: dev dependencies: - attrs: '>=19.2.0' - colorama: '' - exceptiongroup: '' - iniconfig: '' - packaging: '' - pluggy: '>=0.12,<2.0' - python: '>=3.8' - tomli: '>=1.0.0' - hash: - md5: ac82c7aebc282e6ac0450fca012ca78c - sha256: 854233dc2d0d64219b7e951ccf49c1f32332c6fc7085ecb62cc18bc1f4e791b0 - manager: conda - name: pytest - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.0-pyhd8ed1ab_2.tar.bz2 - version: 7.2.0 -- category: full - dependencies: - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - hash: - md5: b3c0bbeaca21d9da56d6d551a7b73891 - sha256: 60dbdb40f9cbe294c66281a5b9b376c880c8dba04936de7660af478b5f24db15 - manager: conda - name: pywavelets - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/pywavelets-1.3.0-py39h7cc1f47_2.tar.bz2 - version: 1.3.0 -- category: main - dependencies: - libblas: '>=3.9.0,<4.0a0' - libcblas: '>=3.9.0,<4.0a0' - libcxx: '>=14.0.4' - libgfortran: 5.* - libgfortran5: '>=11.3.0' - liblapack: '>=3.9.0,<4.0a0' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - hash: - md5: 02259123e7413791b05652970f32efed - sha256: 602ded1dc4f3bbba597fb10f7d422376b9563e0a6718743b99c8083c95c28873 - manager: conda - name: scipy - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.9.3-py39h8a15683_1.tar.bz2 - version: 1.9.3 -- category: full - dependencies: - geos: '>=3.11.0,<3.11.1.0a0' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + coverage: '>=5.2.1' + pytest: '>=4.6' + python: '>=3.6' + setuptools: '' + toml: '' hash: - md5: cab82d58166eebc654c12f63ffb0d922 - sha256: d23c787f1ff1f54d46529fcf2d111f187b6e65b198292390cd3ee584314d4c40 + md5: 0f7cac11bb696b62d378bde725bfc3eb + sha256: c5feac67a828f10bfa7d5e80b12e0a7c8e3b7b4886ad682aa783bc63f62477ba manager: conda - name: shapely + name: pytest-cov optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/shapely-1.8.5-py39hf33cec1_1.tar.bz2 - version: 1.8.5 + url: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-3.0.0-pyhd8ed1ab_0.tar.bz2 + version: 3.0.0 - category: full dependencies: asttokens: '' @@ -8031,42 +7890,33 @@ package: pure_eval: '' python: '>=3.5' hash: - md5: d62578a476321e761628bb3c428f07f9 - sha256: da0432671a463f59b1a644da103c586ebe690236d9a7716a9e10b1bd42b5456c + md5: e7df0fdd404616638df5ece6e69ba7af + sha256: a58433e75229bec39f3be50c02efbe9b7083e53a1f31d8ee247564f370191eec manager: conda name: stack_data optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.0-pyhd8ed1ab_0.tar.bz2 - version: 0.6.0 + url: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda + version: 0.6.2 - category: full dependencies: - __osx: '' - ptyprocess: '' - python: '>=3.7' - tornado: '>=6.1.0' + bzip2: '>=1.0.8,<2.0a0' + curl: '' + libcxx: '>=14.0.6' + libzlib: '>=1.2.13,<1.3.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' + openssl: '>=3.0.7,<4.0a0' + zlib: '' + zstd: '>=1.5.2,<1.6.0a0' hash: - md5: b459811ccd18801c61eb334f65e7c283 - sha256: 07c98e0945f484285b26675b1572c78350e62930156dcf4a61b0b62ba7b502e5 + md5: 7d15ea87de12a626a3239b5da26a9b26 + sha256: 7b96ea57c3c378de1976b071e2c5277f1d680188a9a2531e209188aed903c836 manager: conda - name: terminado + name: tiledb optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.0-pyhd1c38e8_0.tar.bz2 - version: 0.17.0 -- category: main - dependencies: - numpy: '>=1.7' - python: '' - hash: - md5: 7a6395b244b183e9e55e606e3d68e83b - sha256: 891620c6e65716efa84832458ff972037faf31a2009421ad120807dedd360402 - manager: conda - name: vectormath - optional: false - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/vectormath-0.2.2-py_0.tar.bz2 - version: 0.2.2 + url: https://conda.anaconda.org/conda-forge/osx-64/tiledb-2.13.0-h8b9cbf0_0.conda + version: 2.13.0 - category: full dependencies: backports.functools_lru_cache: '' @@ -8080,19 +7930,6 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.5-pyh9f0ad1d_2.tar.bz2 version: 0.2.5 -- category: full - dependencies: - markupsafe: '>=2.1.1' - python: '>=3.7' - hash: - md5: 8e69568592e552919201f730b01a58c2 - sha256: 3bb3d6a98f9e3c6081166d81368e4a0e48fdbfe19e683a957ac344b063c42412 - manager: conda - name: werkzeug - optional: true - platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/werkzeug-2.2.2-pyhd8ed1ab_0.tar.bz2 - version: 2.2.2 - category: full dependencies: argon2-cffi-bindings: '' @@ -8109,95 +7946,157 @@ package: version: 21.3.0 - category: main dependencies: - libcxx: '>=12.0.1' - numpy: '>=1.19.5,<2.0a0' + libcxx: '>=14.0.4' + numpy: '>=1.16' python: '>=3.9,<3.10.0a0' python_abi: 3.9.* *_cp39 - scipy: '>=0.13' hash: - md5: 49503ab78512f5ef2223f7f1f1ae0858 - sha256: 13edb04a7bae0592e66069078f5b7972dd1a6033608e1a11aff9c27e0024c2ac + md5: 68ff7bf827e07256fb6993cb3393a19b + sha256: 1903db269f8af54036d84c805ecef7fcf1ff1349d45456c646b2a265c3fd115e manager: conda - name: discretize + name: contourpy optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/discretize-0.7.4-py39hb5e4067_0.tar.bz2 - version: 0.7.4 + url: https://conda.anaconda.org/conda-forge/osx-64/contourpy-1.0.6-py39h92daf61_0.tar.bz2 + version: 1.0.6 +- category: full + dependencies: + brotli-python: '' + flask: '' + python: '>=2.7|>=3.6' + hash: + md5: 19a84270d30c5a0dd10780e3d510e33d + sha256: 75d326f0b12aef8f35080f5a5e2ef26066afcb60e3da765a9a5f4349572acd3b + manager: conda + name: flask-compress + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/flask-compress-1.13-pyhd8ed1ab_0.tar.bz2 + version: '1.13' - category: main dependencies: - numba: '>=0.47' - python: '>=3.7' - scipy: '>=1.4.0' + cached-property: '' + hdf5: '>=1.12.2,<1.12.3.0a0' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 hash: - md5: df7965121f7c2d03a9f444e5307a6550 - sha256: d01a52b5aa35962f6d160be459a4c2859079a0212b518ccaeaa2bc4a69a9568c + md5: 2b3ef033a4e3fcd909dbee1f05e0f978 + sha256: a8d50d8bf05625ed4e2b8daf239499842452d70995321ddcb190315ae19cc040 manager: conda - name: empymod + name: h5py optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/empymod-2.2.1-pyhd8ed1ab_0.tar.bz2 - version: 2.2.1 + url: https://conda.anaconda.org/conda-forge/osx-64/h5py-3.7.0-nompi_py39h7d40783_102.tar.bz2 + version: 3.7.0 - category: full dependencies: - click: '>=8.0' - importlib-metadata: '>=3.6.0' - itsdangerous: '>=2.0' - jinja2: '>=3.0' - python: '>=3.7' - werkzeug: '>=2.2.2' + blosc: '>=1.21.1,<2.0a0' + brunsli: '>=0.1,<1.0a0' + bzip2: '>=1.0.8,<2.0a0' + c-blosc2: '>=2.4.3,<3.0a0' + cfitsio: '>=4.2.0,<4.2.1.0a0' + charls: '>=2.3.4,<2.4.0a0' + giflib: '>=5.2.1,<5.3.0a0' + jpeg: '>=9e,<10a' + jxrlib: '>=1.1,<1.2.0a0' + lcms2: '>=2.14,<3.0a0' + lerc: '>=4.0.0,<5.0a0' + libaec: '>=1.0.6,<2.0a0' + libavif: '>=0.11.1,<0.11.2.0a0' + libbrotlicommon: '>=1.0.9,<1.1.0a0' + libbrotlidec: '>=1.0.9,<1.1.0a0' + libbrotlienc: '>=1.0.9,<1.1.0a0' + libcxx: '>=14.0.6' + libdeflate: '>=1.14,<1.15.0a0' + libpng: '>=1.6.38,<1.7.0a0' + libtiff: '>=4.4.0,<5.0a0' + libwebp-base: '>=1.2.4,<2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + libzopfli: '>=1.0.3,<1.1.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' + numpy: '>=1.20.3,<2.0a0' + openjpeg: '>=2.5.0,<3.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + snappy: '>=1.1.9,<2.0a0' + xz: '>=5.2.6,<6.0a0' + zfp: '>=1.0.0,<2.0a0' + zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 85fad4c7889dd969ed4c02cf63cfe9c5 - sha256: e047c40122dc3fd53c534924271e9635d3dbf5ba606ccd2bd7f7c70b63697037 + md5: cb7a91a715fb279e3c135e32ff894c5e + sha256: 7b7e744f6e7bd08a948b980d9a2baa8b3438156a5acd04037d43774c3b5e2c40 manager: conda - name: flask + name: imagecodecs optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/flask-2.2.2-pyhd8ed1ab_0.tar.bz2 - version: 2.2.2 + url: https://conda.anaconda.org/conda-forge/osx-64/imagecodecs-2022.9.26-py39h8036967_4.conda + version: 2022.9.26 - category: full dependencies: - hdf5: '>=1.12.2,<1.12.3.0a0' - libcxx: '>=14.0.4' - libgdal: 3.5.3 h9ab8fee_0 - numpy: '>=1.20.3,<2.0a0' - openssl: '>=3.0.5,<4.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + numpy: '' + pillow: '>=8.3.2' + python: '>=3' hash: - md5: a052680a54c7acfadafbcce77adc16ff - sha256: f220a90e329c4c487bd280e74c63afff1c65ee9b939ba5b19c6a7a77a4bc43c1 + md5: 4fef7788eaed184136c627a8c5feced6 + sha256: c1a49325a3208a875bc5d2ab2d866c820a60a0c6561c4efe796ad78e10085123 manager: conda - name: gdal + name: imageio optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/gdal-3.5.3-py39h6783340_0.tar.bz2 - version: 3.5.3 -- category: main + url: https://conda.anaconda.org/conda-forge/noarch/imageio-2.22.4-pyhfa7a67d_1.conda + version: 2.22.4 +- category: full dependencies: - __osx: '>=10.12' - certifi: '>=2020.06.20' - contourpy: '>=1.0.1' - cycler: '>=0.10' - fonttools: '>=4.22.0' - freetype: '>=2.12.1,<3.0a0' - kiwisolver: '>=1.0.1' - libcxx: '>=14.0.4' - numpy: '>=1.20.3,<2.0a0' - packaging: '>=20.0' - pillow: '>=6.2.0' - pyparsing: '>=2.2.1' - python: '>=3.9,<3.10.0a0' - python-dateutil: '>=2.7' - python_abi: 3.9.* *_cp39 + blosc: '>=1.21.2,<2.0a0' + cfitsio: '>=4.2.0,<4.2.1.0a0' + expat: '>=2.5.0,<3.0a0' + freexl: '>=1.0.6,<2.0a0' + geos: '>=3.11.1,<3.11.2.0a0' + geotiff: '>=1.7.1,<1.8.0a0' + giflib: '>=5.2.1,<5.3.0a0' + hdf4: '>=4.2.15,<4.2.16.0a0' + hdf5: '>=1.12.2,<1.12.3.0a0' + icu: '>=70.1,<71.0a0' + jpeg: '>=9e,<10a' + json-c: '>=0.16,<0.17.0a0' + kealib: '>=1.5.0,<1.6.0a0' + lerc: '>=4.0.0,<5.0a0' + libcurl: '>=7.86.0,<8.0a0' + libcxx: '>=14.0.6' + libdeflate: '>=1.14,<1.15.0a0' + libiconv: '>=1.17,<2.0a0' + libkml: '>=1.3.0,<1.4.0a0' + libnetcdf: '>=4.8.1,<4.8.2.0a0' + libpng: '>=1.6.39,<1.7.0a0' + libpq: '>=15.1,<16.0a0' + libspatialite: '>=5.0.1,<5.1.0a0' + libsqlite: '>=3.40.0,<4.0a0' + libtiff: '>=4.4.0,<5.0a0' + libwebp-base: '>=1.2.4,<2.0a0' + libxml2: '>=2.10.3,<2.11.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' + openjpeg: '>=2.5.0,<3.0a0' + openssl: '>=3.0.7,<4.0a0' + pcre2: '>=10.40,<10.41.0a0' + poppler: '>=22.12.0,<22.13.0a0' + postgresql: '' + proj: '>=9.1.0,<9.1.1.0a0' + qhull: '>=2020.2,<2020.3.0a0' + tiledb: '>=2.13.0,<2.14.0a0' + xerces-c: '>=3.2.4,<3.3.0a0' + xz: '>=5.2.6,<6.0a0' + zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 673a3072940d4b8c149b5bc13533bed6 - sha256: 3dcaa1751095d32da2f4d1e29199b65cc1a207b1fb4dfc235da38927ff36dcd4 + md5: ddfa7a0b39174d3ecd0bc611a86e961f + sha256: 1e9476105e42c3c64b4e4a89cd53554d2535234719808a4a00632d38f0f7cd23 manager: conda - name: matplotlib-base - optional: false + name: libgdal + optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-base-3.6.1-py39hb2f573b_1.tar.bz2 - version: 3.6.1 + url: https://conda.anaconda.org/conda-forge/osx-64/libgdal-3.6.0-h03944e0_14.conda + version: 3.6.0 - category: full dependencies: importlib-metadata: '>=3.6' @@ -8215,53 +8114,75 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.7.0-pyhd8ed1ab_0.tar.bz2 version: 5.7.0 -- category: full +- category: main dependencies: - python: '>=3.6' - wcwidth: '' - hash: - md5: 94fee21afe199936bc361608e537cd11 - sha256: 4fadebeef8ff5441e7181cee7b580c69362b3226e41b77ae753226c11b2895bb - manager: conda - name: prompt-toolkit - optional: true + libcxx: '>=14.0.6' + llvm-openmp: '>=15.0.5' + llvmlite: '>=0.39.1,<0.40.0a0' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + setuptools: '' + hash: + md5: e935a2b191cf4352b01e3dc65ee064fc + sha256: 55cd5c004e25559ea118765fb581c38998cbe693d2274ce15099eeb15812afc5 + manager: conda + name: numba + optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.31-pyha770c72_0.tar.bz2 - version: 3.0.31 + url: https://conda.anaconda.org/conda-forge/osx-64/numba-0.56.4-py39hf6b9d82_0.conda + version: 0.56.4 - category: main dependencies: + entrypoints: '' + libcxx: '>=13.0.1' + msgpack-python: '' numpy: '>=1.7' - python: '' - six: '' - vectormath: '>=0.1.4' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + typing-extensions: '>=3.7.4' hash: - md5: 62052fa8409d12536ff149e25b0e9905 - sha256: 693596b821b28f8d9710e80a143816e55fc401b8cd2f0b0d777f5155bd3358f2 + md5: b6ed265ce1fc83fee203a49f76857b74 + sha256: 100c717883b05d189ec2357ae33ad2df95ae2d888ce8591b4e48245eed1ed266 manager: conda - name: properties + name: numcodecs optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/properties-0.6.1-py_0.tar.bz2 - version: 0.6.1 + url: https://conda.anaconda.org/conda-forge/osx-64/numcodecs-0.10.2-py39hd91caee_0.tar.bz2 + version: 0.10.2 - category: main dependencies: - mkl: '>=2022.1.0,<2023.0a0' + libcxx: '>=14.0.6' numpy: '>=1.20.3,<2.0a0' python: '>=3.9,<3.10.0a0' + python-dateutil: '>=2.8.1' python_abi: 3.9.* *_cp39 - scipy: '>=0.13' + pytz: '>=2020.1' hash: - md5: 28ce90bf543e6d4efbaf17f7f4829772 - sha256: 354968cf58289350c3ca3ac23b111b308b3370ff8512cffd8d32db6fb5b2595b + md5: ded75985c062c8b5643df4d919bf360b + sha256: 3945fe3c84a296799f6f7135cdf39b94aaffce32f6f22e03251034bd4baeff88 manager: conda - name: pydiso + name: pandas optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/pydiso-0.0.3-py39h29261d1_4.tar.bz2 - version: 0.0.3 + url: https://conda.anaconda.org/conda-forge/osx-64/pandas-1.5.2-py39hecff1ad_0.conda + version: 1.5.2 +- category: full + dependencies: + python: '>=3.6' + wcwidth: '' + hash: + md5: 4d79ec192e0bfd530a254006d123b9a6 + sha256: 6bd3626799c9467d7aa8ed5f95043e4cea614a1329580980ddcf40cfed3ee860 + manager: conda + name: prompt-toolkit + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.36-pyha770c72_0.conda + version: 3.0.36 - category: dev dependencies: - astroid: '>=2.12.12,<2.14.0-dev0' + astroid: '>=2.12.13,<2.14.0-dev0' colorama: '>=0.4.5' dill: '>=0.2' isort: '>=4.2.5,<6' @@ -8272,14 +8193,14 @@ package: tomlkit: '>=0.10.1' typing_extensions: '>=3.10.0' hash: - md5: 20a795c6e8abea62d460bae344df462b - sha256: f9b6f6daf05c28d241ba327e8999bac327a1e7f0bc8bd115e45abcb71901bee5 + md5: 26a62404bbfc93452c4d22aa2cda6f08 + sha256: 852e6a99ec31358324943ade205b0320ca25ba2d594ba215b3e34dee3f16fcae manager: conda name: pylint optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/pylint-2.15.5-pyhd8ed1ab_0.tar.bz2 - version: 2.15.5 + url: https://conda.anaconda.org/conda-forge/noarch/pylint-2.15.8-pyhd8ed1ab_0.conda + version: 2.15.8 - category: main dependencies: cryptography: '>=38.0.0,<39' @@ -8293,133 +8214,136 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-22.1.0-pyhd8ed1ab_0.tar.bz2 version: 22.1.0 -- category: dev +- category: full dependencies: - coverage: '>=5.2.1' - pytest: '>=4.6' - python: '>=3.6' - setuptools: '' - toml: '' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 hash: - md5: 0f7cac11bb696b62d378bde725bfc3eb - sha256: c5feac67a828f10bfa7d5e80b12e0a7c8e3b7b4886ad682aa783bc63f62477ba + md5: b3c0bbeaca21d9da56d6d551a7b73891 + sha256: 60dbdb40f9cbe294c66281a5b9b376c880c8dba04936de7660af478b5f24db15 manager: conda - name: pytest-cov + name: pywavelets optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-3.0.0-pyhd8ed1ab_0.tar.bz2 - version: 3.0.0 + url: https://conda.anaconda.org/conda-forge/osx-64/pywavelets-1.3.0-py39h7cc1f47_2.tar.bz2 + version: 1.3.0 - category: main dependencies: - joblib: '>=1.0.0' + libblas: '>=3.9.0,<4.0a0' libcblas: '>=3.9.0,<4.0a0' libcxx: '>=14.0.4' - llvm-openmp: '>=14.0.4' + libgfortran: 5.* + libgfortran5: '>=11.3.0' + liblapack: '>=3.9.0,<4.0a0' numpy: '>=1.20.3,<2.0a0' python: '>=3.9,<3.10.0a0' python_abi: 3.9.* *_cp39 - scipy: '' - threadpoolctl: '>=2.0.0' hash: - md5: d5f1684c7079b96f8dbcd70a2162de3f - sha256: eb0e8145aea44144852808ebea4f16d99efe20fbd86d3f974055601fc6cb3541 + md5: 15265a968475ed446bb063660fd4d176 + sha256: 9b40356401d4f171dbeb79d1fa9cbdc8f270ef650ed71724372dca59064d7747 manager: conda - name: scikit-learn + name: scipy optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.1.3-py39hdbdcc14_1.tar.bz2 - version: 1.1.3 + url: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.9.3-py39h8a15683_2.tar.bz2 + version: 1.9.3 - category: full dependencies: - imagecodecs: '>=2021.11.20' - numpy: '>=1.19.2' - python: '>=3.8' + geos: '>=3.11.1,<3.11.2.0a0' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 hash: - md5: 1c126ff5b4643785bbc16e44e6327e41 - sha256: 85153fe85b205e01f62fcfddcc47c2c6a8cb6062d4e0e73e0a0a71f01a984f33 + md5: fc9b89ebd1d12164255ff30a57c5e617 + sha256: b4317f54ee559cacfbe5660757daa7c2af7026d0aeb198ef26859deef8ac32b2 manager: conda - name: tifffile + name: shapely optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2022.10.10-pyhd8ed1ab_0.tar.bz2 - version: 2022.10.10 + url: https://conda.anaconda.org/conda-forge/osx-64/shapely-2.0.0-py39hed42127_0.conda + version: 2.0.0 - category: main dependencies: - asciitree: '' - fasteners: '' - numcodecs: '>=0.10.0' numpy: '>=1.7' - python: '>=3.5' + python: '' hash: - md5: 7e212240cf03e35a6b3201010a1a1e12 - sha256: 522e72b5f4f1d49d73bdd7fc92a4e51efe86910460577646f553905969d11550 + md5: 7a6395b244b183e9e55e606e3d68e83b + sha256: 891620c6e65716efa84832458ff972037faf31a2009421ad120807dedd360402 manager: conda - name: zarr + name: vectormath optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/zarr-2.13.3-pyhd8ed1ab_0.tar.bz2 - version: 2.13.3 + url: https://conda.anaconda.org/conda-forge/noarch/vectormath-0.2.2-py_0.tar.bz2 + version: 0.2.2 - category: full dependencies: - attrs: '>=17' - click: '>=4.0' - click-plugins: '>=1.0' - cligj: '>=0.5' - gdal: '' - libcxx: '>=14.0.4' - libgdal: '>=3.5.3,<3.6.0a0' - munch: '' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + flask: '>=1.0.4' + flask-compress: '' + plotly: '>=5.0.0' + python: '>=3.6' setuptools: '' - shapely: '' - six: '>=1.7' hash: - md5: 1ab87c4bbd90d90be05a56b2f737f802 - sha256: df90652facb9391150e84e0cabdb8ea1722bcf95f1cba264fbf6423a8bf00995 + md5: a610529f1cc80da3ffda41228bc9d2c5 + sha256: 93d759dd4c218271712a0f7d40be57ed32766fde472b3b13469a215671b14178 manager: conda - name: fiona + name: dash optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/fiona-1.8.22-py39h6fa385f_1.tar.bz2 - version: 1.8.22 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/dash-2.7.1-pyhd8ed1ab_0.conda + version: 2.7.1 +- category: main dependencies: - brotli-python: '' - flask: '' - python: '>=2.7|>=3.6' + libcxx: '>=12.0.1' + numpy: '>=1.19.5,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + scipy: '>=0.13' hash: - md5: 19a84270d30c5a0dd10780e3d510e33d - sha256: 75d326f0b12aef8f35080f5a5e2ef26066afcb60e3da765a9a5f4349572acd3b + md5: 49503ab78512f5ef2223f7f1f1ae0858 + sha256: 13edb04a7bae0592e66069078f5b7972dd1a6033608e1a11aff9c27e0024c2ac manager: conda - name: flask-compress - optional: true + name: discretize + optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/flask-compress-1.13-pyhd8ed1ab_0.tar.bz2 - version: '1.13' + url: https://conda.anaconda.org/conda-forge/osx-64/discretize-0.7.4-py39hb5e4067_0.tar.bz2 + version: 0.7.4 - category: main dependencies: - future: '' - matplotlib-base: '' - numpy: '>=1.7' - properties: '' - python: '' - scipy: '>=0.13' - utm: '' - vectormath: '' + numba: '>=0.47' + python: '>=3.7' + scipy: '>=1.4.0' hash: - md5: 940c153c790eec5801d26ad7115d69bf - sha256: 6ef4cb86ab786166d39b6a55f2b5b9027f298d4aa7ba676d587b31cf80053ae5 + md5: df7965121f7c2d03a9f444e5307a6550 + sha256: d01a52b5aa35962f6d160be459a4c2859079a0212b518ccaeaa2bc4a69a9568c manager: conda - name: geoana + name: empymod optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/geoana-0.0.6-py_1.tar.bz2 - version: 0.0.6 + url: https://conda.anaconda.org/conda-forge/noarch/empymod-2.2.1-pyhd8ed1ab_0.tar.bz2 + version: 2.2.1 +- category: full + dependencies: + hdf5: '>=1.12.2,<1.12.3.0a0' + libcxx: '>=14.0.6' + libgdal: 3.6.0 h03944e0_14 + numpy: '>=1.20.3,<2.0a0' + openssl: '>=3.0.7,<4.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + hash: + md5: e55f3252324e2f7a64061289cbcf0f06 + sha256: c646c38159dc27b3571957bef19a6a3fe6036b89a4cd1ff5eda0795013db2bcb + manager: conda + name: gdal + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/gdal-3.6.0-py39h6783340_14.conda + version: 3.6.0 - category: full dependencies: __osx: '' + _ipython_minor_entry_point: 8.7.0.* appnope: '' backcall: '' decorator: '' @@ -8427,111 +8351,174 @@ package: matplotlib-inline: '' pexpect: '>4.3' pickleshare: '' - prompt-toolkit: '>3.0.1,<3.1.0' + prompt-toolkit: '>=3.0.11,<3.1.0' pygments: '>=2.4.0' python: '>=3.8' stack_data: '' traitlets: '>=5' hash: - md5: 44a023ada0a70374a1c4656346dbb0c0 - sha256: e30a65969dba789b63ffe79d830bfea4df99d30fca3e9315750ce9a7f28b2ae3 + md5: 54d2e0754d7ecb42cd6a6d1795241a16 + sha256: a677323278a64f26a44c2b09392cdeefc67690e8cf3e741be708e8463711ddbf manager: conda name: ipython optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.6.0-pyhd1c38e8_1.tar.bz2 - version: 8.6.0 + url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.7.0-pyhd1c38e8_0.conda + version: 8.7.0 +- category: main + dependencies: + __osx: '>=10.12' + certifi: '>=2020.06.20' + contourpy: '>=1.0.1' + cycler: '>=0.10' + fonttools: '>=4.22.0' + freetype: '>=2.12.1,<3.0a0' + kiwisolver: '>=1.0.1' + libcxx: '>=14.0.4' + numpy: '>=1.20.3,<2.0a0' + packaging: '>=20.0' + pillow: '>=6.2.0' + pyparsing: '>=2.3.1' + python: '>=3.9,<3.10.0a0' + python-dateutil: '>=2.7' + python_abi: 3.9.* *_cp39 + hash: + md5: f63288c9b4f73c8e923b6ca3102e29a4 + sha256: 4fb44da301d5d101259aaefe1262a256cef1a9bbe071b7e9369ae711dc3d05cd + manager: conda + name: matplotlib-base + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-base-3.6.2-py39hb2f573b_0.tar.bz2 + version: 3.6.2 - category: full dependencies: - jupyter_client: '>=6.1.5' - nbformat: '>=5.0' - nest-asyncio: '' + jupyter_client: '>=6.1.12' + jupyter_core: '>=4.12,!=5.0.*' + nbformat: '>=5.1' python: '>=3.7' - traitlets: '>=5.2.2' + traitlets: '>=5.3' hash: - md5: 87eed34d791330d8acdab6a8ab63113f - sha256: ef28a3c4e3a218ae48b1e7a24ec7a8bb4f6da0096135d1155a5a5cc71393aaf4 + md5: 6c7b0d75b66a220274bb5a28c23197f2 + sha256: 400cba87afda16d91c4fab133ed72b37ab0aa6592de61d4d5dd29dc026832a4f manager: conda name: nbclient optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.0-pyhd8ed1ab_0.tar.bz2 - version: 0.7.0 + url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.2-pyhd8ed1ab_0.conda + version: 0.7.2 - category: main dependencies: - numpy: '' - pydiso: '' - python: '>=3.6' - scipy: '' + numpy: '>=1.7' + python: '' + six: '' + vectormath: '>=0.1.4' hash: - md5: d824e3266c690c6b8c662cf19fa62b3f - sha256: e1d39044c41541a09ba846c51c2ba315858622dfb4e7eaebcb0823316159fab8 + md5: 62052fa8409d12536ff149e25b0e9905 + sha256: 693596b821b28f8d9710e80a143816e55fc401b8cd2f0b0d777f5155bd3358f2 manager: conda - name: pymatsolver + name: properties optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/pymatsolver-0.2.0-pyhd8ed1ab_0.tar.bz2 - version: 0.2.0 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/properties-0.6.1-py_0.tar.bz2 + version: 0.6.1 +- category: main dependencies: - cloudpickle: '>=0.2.1' - cytoolz: '>=0.7.3' - dask-core: '>=1.0.0,!=2.17.0' - imageio: '>=2.3.0' - libcxx: '>=14.0.4' - networkx: '>=2.2' + mkl: '>=2022.1.0,<2023.0a0' numpy: '>=1.20.3,<2.0a0' - packaging: '>=20.0' - pillow: '>=6.1.0,!=7.1.0,!=7.1.1,!=8.3.0' python: '>=3.9,<3.10.0a0' python_abi: 3.9.* *_cp39 - pywavelets: '>=1.1.1' - scipy: '>=1.4.1' - tifffile: '>=2019.7.26' - toolz: '>=0.7.3' + scipy: '>=0.13' hash: - md5: 966cbed14955d6773fc368b695db0a97 - sha256: 0fd3f721263b761c84c66dcbe19d5196ed12142e71914d4a6fc52c9065b7ba17 + md5: 28ce90bf543e6d4efbaf17f7f4829772 + sha256: 354968cf58289350c3ca3ac23b111b308b3370ff8512cffd8d32db6fb5b2595b manager: conda - name: scikit-image - optional: true + name: pydiso + optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/osx-64/scikit-image-0.19.3-py39hecff1ad_2.tar.bz2 - version: 0.19.3 + url: https://conda.anaconda.org/conda-forge/osx-64/pydiso-0.0.3-py39h29261d1_4.tar.bz2 + version: 0.0.3 - category: main dependencies: - brotlipy: '>=0.6.0' - certifi: '' + joblib: '>=1.1.1' + libcblas: '>=3.9.0,<4.0a0' + libcxx: '>=14.0.6' + llvm-openmp: '>=14.0.6' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + scipy: '' + threadpoolctl: '>=2.0.0' + hash: + md5: 0850e300b774b00b16afce95123f43c3 + sha256: 84705bd7f72c67bc214287c59100f622cc305ba3d63306734a54099218298a2a + manager: conda + name: scikit-learn + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/scikit-learn-1.2.0-py39hdbdcc14_0.conda + version: 1.2.0 +- category: full + dependencies: + imagecodecs: '>=2021.11.20' + numpy: '>=1.19.2' + python: '>=3.8' + hash: + md5: 1c126ff5b4643785bbc16e44e6327e41 + sha256: 85153fe85b205e01f62fcfddcc47c2c6a8cb6062d4e0e73e0a0a71f01a984f33 + manager: conda + name: tifffile + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2022.10.10-pyhd8ed1ab_0.tar.bz2 + version: 2022.10.10 +- category: main + dependencies: + brotlipy: '>=0.6.0' + certifi: '' cryptography: '>=1.3.4' idna: '>=2.0.0' pyopenssl: '>=0.14' pysocks: '>=1.5.6,<2.0,!=1.5.7' python: <4.0 hash: - md5: 0738978569b10669bdef41c671252dd1 - sha256: 57a823b83428156aa2bc18f34159a744657c9bd117a125ca4559b0518a2e4fa2 + md5: 3078ef2359efd6ecadbc7e085c5e0592 + sha256: 992f2d6ca50c98f865a4f2e4bada23f950e39f33ff7c64614a31ee152ec4d5ae manager: conda name: urllib3 optional: false platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.11-pyhd8ed1ab_0.tar.bz2 - version: 1.26.11 + url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.13-pyhd8ed1ab_0.conda + version: 1.26.13 +- category: main + dependencies: + asciitree: '' + fasteners: '' + numcodecs: '>=0.10.0' + numpy: '>=1.7' + python: '>=3.5' + hash: + md5: 7e212240cf03e35a6b3201010a1a1e12 + sha256: 522e72b5f4f1d49d73bdd7fc92a4e51efe86910460577646f553905969d11550 + manager: conda + name: zarr + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/zarr-2.13.3-pyhd8ed1ab_0.tar.bz2 + version: 2.13.3 - category: full dependencies: - flask: '>=1.0.4' - flask-compress: '' - plotly: '>=5.0.0' - python: '>=3.6' - setuptools: '' + dash: '>=1.6.1' + python: '' hash: - md5: 08473f0b4d35533dec6cf77149dcecbc - sha256: 3bb47d32349addf8be7f939700b9b4c1d1548a794389dd3b1217a0003a9f15a1 + md5: ebd54a61606fa8a191932cb72e448418 + sha256: 5e99ab8b5cac15e5d6986a90566a335c21b2849838a6e877bec79efa2e7e346f manager: conda - name: dash + name: dash-daq optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/dash-2.6.2-pyhd8ed1ab_0.tar.bz2 - version: 2.6.2 + url: https://conda.anaconda.org/conda-forge/noarch/dash-daq-0.5.0-pyh9f0ad1d_1.tar.bz2 + version: 0.5.0 - category: main dependencies: click: '>=6.6' @@ -8560,10 +8547,55 @@ package: platform: osx-64 url: https://conda.anaconda.org/conda-forge/noarch/distributed-2022.10.0-pyhd8ed1ab_2.tar.bz2 version: 2022.10.0 +- category: full + dependencies: + attrs: '>=17' + click: '>=4.0' + click-plugins: '>=1.0' + cligj: '>=0.5' + gdal: '' + libcxx: '>=14.0.6' + libgdal: '>=3.6.0,<3.7.0a0' + munch: '' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + setuptools: '' + shapely: '' + six: '>=1.7' + hash: + md5: ac04d90c4cd130aeb848c1f747a990a4 + sha256: 2259be32925f74f286fd31b1c8b55aef588a20624c0cc5c29f3a9e0fe81fcfa7 + manager: conda + name: fiona + optional: true + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/osx-64/fiona-1.8.22-py39hb507cee_3.conda + version: 1.8.22 +- category: main + dependencies: + future: '' + matplotlib-base: '' + numpy: '>=1.7' + properties: '' + python: '' + scipy: '>=0.13' + utm: '' + vectormath: '' + hash: + md5: 940c153c790eec5801d26ad7115d69bf + sha256: 6ef4cb86ab786166d39b6a55f2b5b9027f298d4aa7ba676d587b31cf80053ae5 + manager: conda + name: geoana + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/geoana-0.0.6-py_1.tar.bz2 + version: 0.0.6 - category: full dependencies: __osx: '' appnope: '' + comm: '>=0.1' debugpy: '>=1.0' ipython: '>=7.23.1' jupyter_client: '>=6.1.12' @@ -8576,14 +8608,14 @@ package: tornado: '>=6.1' traitlets: '>=5.1.0' hash: - md5: 45cd64517fad5cc8c075db3669e673cb - sha256: 113d340546e434574e4103340b547f30f96bedcf30e6f7ab2887f63bc6464adf + md5: 91a9f426eadf5046be5c50693226332f + sha256: f4a5e21a9ca5194c501021dd25173c24e694faea6562e3352df14832c489d73e manager: conda name: ipykernel optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.17.0-pyh736e0ef_0.tar.bz2 - version: 6.17.0 + url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.19.2-pyh736e0ef_0.conda + version: 6.19.2 - category: full dependencies: beautifulsoup4: '' @@ -8604,14 +8636,29 @@ package: tinycss2: '' traitlets: '>=5.0' hash: - md5: fa00f301fe82fe2b260f58789440587b - sha256: fd5f7512edd5b13d0aa09be9bf1336de433886fdf94bf668220e3e74b36ac3f7 + md5: d222e8861fa78999b66ae7fa14710c1c + sha256: b40fdc7bacaff6b926af36e622654850ebd8e03786c62a1a38a38fd42a51d60a manager: conda name: nbconvert-core optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 +- category: main + dependencies: + numpy: '' + pydiso: '' + python: '>=3.6' + scipy: '' + hash: + md5: d824e3266c690c6b8c662cf19fa62b3f + sha256: e1d39044c41541a09ba846c51c2ba315858622dfb4e7eaebcb0823316159fab8 + manager: conda + name: pymatsolver + optional: false + platform: osx-64 + url: https://conda.anaconda.org/conda-forge/noarch/pymatsolver-0.2.0-pyhd8ed1ab_0.tar.bz2 + version: 0.2.0 - category: dev dependencies: certifi: '>=2017.4.17' @@ -8630,17 +8677,30 @@ package: version: 2.28.1 - category: full dependencies: - dash: '>=1.6.1' - python: '' + cloudpickle: '>=0.2.1' + cytoolz: '>=0.7.3' + dask-core: '>=1.0.0,!=2.17.0' + imageio: '>=2.3.0' + libcxx: '>=14.0.4' + networkx: '>=2.2' + numpy: '>=1.20.3,<2.0a0' + packaging: '>=20.0' + pillow: '>=6.1.0,!=7.1.0,!=7.1.1,!=8.3.0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + pywavelets: '>=1.1.1' + scipy: '>=1.4.1' + tifffile: '>=2019.7.26' + toolz: '>=0.7.3' hash: - md5: ebd54a61606fa8a191932cb72e448418 - sha256: 5e99ab8b5cac15e5d6986a90566a335c21b2849838a6e877bec79efa2e7e346f + md5: 966cbed14955d6773fc368b695db0a97 + sha256: 0fd3f721263b761c84c66dcbe19d5196ed12142e71914d4a6fc52c9065b7ba17 manager: conda - name: dash-daq + name: scikit-image optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/dash-daq-0.5.0-pyh9f0ad1d_1.tar.bz2 - version: 0.5.0 + url: https://conda.anaconda.org/conda-forge/osx-64/scikit-image-0.19.3-py39hecff1ad_2.tar.bz2 + version: 0.19.3 - category: full dependencies: ansi2html: '' @@ -8680,55 +8740,55 @@ package: traitlets: '>=5.1.0' websocket-client: '' hash: - md5: 81f31b184703349ea7280c49ca4b5b4e - sha256: b14fe42d7eab0cefe9140b2e21ab139a408c5f4b3b7ba9cfdd438ff3ed17490d + md5: c497ada2dbcb07e6912756f4ea709f65 + sha256: 125d721aa32f00c33078e8b5e0d76b5333e65afccd5631970e57eaadb9ab8858 manager: conda name: jupyter_server optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.21.0-pyhd8ed1ab_0.tar.bz2 - version: 1.21.0 + url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.23.3-pyhd8ed1ab_0.conda + version: 1.23.3 - category: full dependencies: - nbconvert-core: 7.2.3 pyhd8ed1ab_0 + nbconvert-core: 7.2.6 pyhd8ed1ab_0 pandoc: '' python: '>=3.7' hash: - md5: 895c58bc1aa507933ad2ed9759682d9f - sha256: 5f7f9a907a1897fbe2139b176650b780d738e4b2dd5daac03bfdd6b957be2ffa + md5: c75ece5b10744eb2db7e9faaa02e25eb + sha256: 51a768efc97c48b2d768a53d2c100253d04446d4feff037dd95bb5e37c778a86 manager: conda name: nbconvert-pandoc optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 - category: full dependencies: - nbconvert-core: 7.2.3 pyhd8ed1ab_0 - nbconvert-pandoc: 7.2.3 pyhd8ed1ab_0 + nbconvert-core: 7.2.6 pyhd8ed1ab_0 + nbconvert-pandoc: 7.2.6 pyhd8ed1ab_0 python: '>=3.7' hash: - md5: 7c1dbb2baf7c43c56fe1940a721f2678 - sha256: 207c88766cf465ce4f4a56e4439c83236a987fd737e4e83a9866f32b6e98747c + md5: cad325a4f09969426cd099d5c9f689f5 + sha256: b428afd52bcf4f395a423293c93f89c97fa71f03b019dc799542d45f429f9b7b manager: conda name: nbconvert optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 - category: full dependencies: jupyter_server: '>=1.8,<3' python: '>=3.7' hash: - md5: 45b287252fd17eccb002676623ba859c - sha256: c37fb11cdb79ec121948a3bd1bda4a6ad61e4d17cc78d9b6f845eb0680823277 + md5: 40be846cd4e78672a40e43db9dae753c + sha256: d798a6a1938e3efa1562d3477a0337720ce07ef571c8b0255d80089f285eaf8a manager: conda name: notebook-shim optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.0-pyhd8ed1ab_0.tar.bz2 - version: 0.2.0 + url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.2-pyhd8ed1ab_0.tar.bz2 + version: 0.2.2 - category: full dependencies: argon2-cffi: '' @@ -8750,14 +8810,14 @@ package: tornado: '>=6.1' traitlets: '>=4.2.1' hash: - md5: 8d16bf3ba8cba7f702691767919d6bc6 - sha256: 2edf0741bf374b55163970127697846985ae9ac0576684ab9c80224ca810f060 + md5: f4f150f83ed90a1b833e6081bbf38257 + sha256: e180247b54ef26df23ed4662a5ca6a04252b11624da22d21cd976479afea4417 manager: conda name: nbclassic optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.4.5-pyhd8ed1ab_0.tar.bz2 - version: 0.4.5 + url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.4.8-pyhd8ed1ab_0.tar.bz2 + version: 0.4.8 - category: full dependencies: argon2-cffi: '' @@ -8766,25 +8826,26 @@ package: jinja2: '' jupyter_client: '>=5.3.4' jupyter_core: '>=4.6.1' - nbclassic: 0.4.5 - nbconvert: '>=5' + nbclassic: '>=0.4.7' + nbconvert-core: '>=5' nbformat: '' + nest-asyncio: '>=1.5' prometheus_client: '' python: '>=3.7' pyzmq: '>=17' - send2trash: '>=1.5.0' + send2trash: '>=1.8.0' terminado: '>=0.8.3' tornado: '>=6.1' traitlets: '>=4.2.1' hash: - md5: 16d5690e1f1cf716b6adf33a2a54dce5 - sha256: 7f1f249181459591083c4b99e3981a7c0933365deace3a75f72bfaca3256305a + md5: 7bf26ca095481f206e6f9dd7681085fe + sha256: 59b8f5923f5400e8d52a1bc7ad307add6953fa09f332cb745e22ef1e05b05acc manager: conda name: notebook optional: true platform: osx-64 - url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.1-pyha770c72_0.tar.bz2 - version: 6.5.1 + url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.2-pyha770c72_1.tar.bz2 + version: 6.5.2 - category: full dependencies: notebook: '>=5.3' @@ -8874,25 +8935,38 @@ package: utm: '*' vectormath: '>=0.2.0' hash: - sha256: b1343e81535c83051201ae5aefef4d301effe04e5786bd19e3ce15ffb69471c7 + sha256: 35ba6d0f6ff81770caf1ea7599ba62f3b13b23c14091fec35e9d751c0aca793e manager: pip name: mira-simpeg optional: false platform: osx-64 source: null - url: https://files.pythonhosted.org/packages/0f/00/ac96a8523e2327727bc14577ec06507d76fd9e258cf4689dc06334eb0e1f/Mira_SimPEG-0.15.1.dev6-py2.py3-none-any.whl - version: 0.15.1.dev6 + url: https://files.pythonhosted.org/packages/f0/6e/d27a5faf1fc1bda17a119bb3f021f8d91597f0fbd1f85630bf9e6dfd63a4/Mira_SimPEG-0.15.1.dev7-py2.py3-none-any.whl + version: 0.15.1.dev7 +- category: main + dependencies: + geoh5py: '>=0.5.0,<0.6.0' + numpy: '>=1.21.5,<2.0.0' + hash: + sha256: c73020238558b1ececd1ad6e01b76dac8272dda46f3361a034315bd40b341d9d + manager: pip + name: param-sweeps + optional: false + platform: osx-64 + source: null + url: https://files.pythonhosted.org/packages/86/9a/cf12141da920feeb4b80833bd54f01d11c7b58b3f7f7c5ec19d2a45127f8/param_sweeps-0.1.3-py3-none-any.whl + version: 0.1.3 - category: main dependencies: {} hash: - md5: 5fba0abc60bf327a4bc4188cd64678be - sha256: 564f7c91d51b8b7b7111fd207bcbefe5c4f6c2075e41dc1b44725d974325ed90 + md5: 31de4d9887dc8eaed9e6230a5dfbb9d6 + sha256: 405f3634e055e2e6b0502b1999bc9b7e7bb6b549b229a9a371b19d660f0b14f0 manager: conda name: ca-certificates optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2022.9.24-h5b45459_0.tar.bz2 - version: 2022.9.24 + url: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2022.12.7-h5b45459_0.conda + version: 2022.12.7 - category: full dependencies: {} hash: @@ -8940,14 +9014,14 @@ package: - category: main dependencies: {} hash: - md5: 35dff2b6e944ce136a574c4c006cec28 - sha256: e9c4a67b9a612ed4fc610880af931520855e03b7d5071c6ae31e0b2f796a3d63 + md5: 862119758b21a2a735f15290abb01ae7 + sha256: 9ee00dfbc2b2567f52722e5827969e6820195e2fb8a966b5ec43e5e2a1685fe5 manager: conda name: intel-openmp optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2022.1.0-h57928b3_3787.tar.bz2 - version: 2022.1.0 + url: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2022.2.1-h57928b3_19741.conda + version: 2022.2.1 - category: main dependencies: {} hash: @@ -8984,14 +9058,25 @@ package: - category: main dependencies: {} hash: - md5: e366350e2343a798e29833286abe2560 - sha256: 419eaff0d20f418974ca27a40bc871bbe48217dba05936f147a574eb5f079005 + md5: c7f654abbee61f9a03f54e9064e79e89 + sha256: 86dcf63e17364e1f7e06aac05310954f374a1bfae8ff3cfb721b3cca87010f1e + manager: conda + name: python_abi + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.9-3_cp39.conda + version: '3.9' +- category: main + dependencies: {} + hash: + md5: 51fc4fcfb19f5d95ffc8c339db5068e8 + sha256: 0bfae0b9962bc0dbf79048f9175b913ed4f53c4310d06708dc7acbb290ad82f6 manager: conda name: tzdata optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2022f-h191b570_0.tar.bz2 - version: 2022f + url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2022g-h191b570_0.conda + version: 2022g - category: main dependencies: {} hash: @@ -9171,17 +9256,18 @@ package: version: 2.5.0 - category: full dependencies: - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 87da446bebdf92030df5593c18530ae2 - sha256: f6610e734ee1444fe838ff07bda89871721f6b44117ecbd449d4af887198f82e + md5: 97225394895a9c6939175c936ab1a4b0 + sha256: 15ca40f3dafbc8caecb6f38ddf55cac9ac303f81371690a84e9e953d000f0ffd manager: conda name: geos optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/geos-3.11.0-h39d44d4_0.tar.bz2 - version: 3.11.0 + url: https://conda.anaconda.org/conda-forge/win-64/geos-3.11.1-h1537add_0.tar.bz2 + version: 3.11.1 - category: full dependencies: vc: '>=14.1,<15.0a0' @@ -9300,7 +9386,7 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/libffi-3.4.2-h8ffe710_5.tar.bz2 version: 3.4.2 -- category: full +- category: main dependencies: vc: '>=14.1,<15' vs2015_runtime: '>=14.16.27033' @@ -9309,7 +9395,7 @@ package: sha256: 657c2a992c896475021a25faebd9ccfaa149c5d70c7dc824d4069784b686cea1 manager: conda name: libiconv - optional: true + optional: false platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/libiconv-1.17-h8ffe710_0.tar.bz2 version: '1.17' @@ -9328,17 +9414,18 @@ package: version: 1.0.18 - category: main dependencies: + ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 9484be835acbd4ec7920ba013a0cc5bf - sha256: aeddd956da30c8d1c61e08286164040b1daaa4a5001c1e95d60e85ad6c8da508 + md5: 5e5a97795de72f8cc3baf3d9ea6327a2 + sha256: 4e50b3d90a351c9d47d239d3f90fce4870df2526e4f7fef35203ab3276a6dfc9 manager: conda name: libsqlite optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.39.4-hcfcfb64_0.tar.bz2 - version: 3.39.4 + url: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.40.0-hcfcfb64_0.tar.bz2 + version: 3.40.0 - category: main dependencies: vc: '>=14.1,<15' @@ -9412,27 +9499,14 @@ package: vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: a87ab36dc95970e3b4b63b7599bebdbe - sha256: 1610e24d7327a2c63019d18cc2dbf43a26d48f149053e64f49a2d942f89f9390 + md5: e48b661f57b25ddf34996fa8b685182d + sha256: 3f26c38e6167d7351de5bdcf13d1456891c242711e689999c25e50e5898bb660 manager: conda name: openssl optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/openssl-3.0.7-hcfcfb64_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/win-64/openssl-3.0.7-hcfcfb64_1.conda version: 3.0.7 -- category: full - dependencies: - vc: '>=14.1,<15.0a0' - vs2015_runtime: '>=14.16.27012' - hash: - md5: 3cd3948bb5de74ebef93b6be6d8cf0d5 - sha256: 2ee62337b921b2d60a87aa9a91bf34bc855a0bbf6a5642ec66a7a175a772be6d - manager: conda - name: pcre - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pcre-8.45-h0e60522_0.tar.bz2 - version: '8.45' - category: full dependencies: vc: '>=14.1,<15.0a0' @@ -9446,33 +9520,45 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/pixman-0.40.0-h8ffe710_0.tar.bz2 version: 0.40.0 +- category: main + dependencies: + vc: 14.* + hash: + md5: e2da8758d7d51ff6aa78a14dfb9dbed4 + sha256: 576a228630a72f25d255a5e345e5f10878e153221a96560f2498040cd6f54005 + manager: conda + name: pthreads-win32 + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/pthreads-win32-2.9.1-hfa6e2cd_3.tar.bz2 + version: 2.9.1 - category: full dependencies: - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + vc: '>=14.1,<15.0a0' + vs2015_runtime: '>=14.16.27012' hash: - md5: 47f94fe8037a17cc8c132c8da97f91f7 - sha256: c812a6a7b82830e7aa911dd5c89881bbf41157892f3d6ad514d77a45ae1b5dfb + md5: 110403ed058415fdd632298321da1fe0 + sha256: 5905c7c397181c845949f682cba0acb7b0f78124db9f5d8196f273a4ce7f655b manager: conda - name: snappy + name: qhull optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/snappy-1.1.9-h82413e6_1.tar.bz2 - version: 1.1.9 -- category: main + url: https://conda.anaconda.org/conda-forge/win-64/qhull-2020.2-h70d2c02_2.tar.bz2 + version: '2020.2' +- category: full dependencies: ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 7f9dddcd2f9cc334282e4e9c3f7b41ae - sha256: c45db980efd1f20bb2c36059377710f582ba37280ef674bee1723a0ce8efaa66 + md5: 073b08c65807f205d990ace14ccacdb2 + sha256: 61ab11b1ee3aebb337587362c26ab2cc87a76afc1925384c2d923e636c1b4c16 manager: conda - name: tbb - optional: false + name: snappy + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.6.0-h91493d7_1.tar.bz2 - version: 2021.6.0 + url: https://conda.anaconda.org/conda-forge/win-64/snappy-1.1.9-hfb803bf_2.tar.bz2 + version: 1.1.9 - category: main dependencies: vc: '>=14.1,<15' @@ -9641,31 +9727,33 @@ package: version: 1.0.9 - category: main dependencies: - libzlib: '>=1.2.12,<1.3.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 90332fb968a69b3cb04c47454dcd7447 - sha256: df42464593cbe568c799bbd9402d4d2749b0601a7c1512b5f195fd0e4cc77a3e + md5: ab6febdb2dbd9c00803609079db4de71 + sha256: 1f139a72109366ba1da69f5bdc569b0e6783f887615807c02d7bfcc2c7575067 manager: conda name: libpng optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libpng-1.6.38-h19919ed_0.tar.bz2 - version: 1.6.38 + url: https://conda.anaconda.org/conda-forge/win-64/libpng-1.6.39-h19919ed_0.conda + version: 1.6.39 - category: full dependencies: - geos: '>=3.11.0,<3.11.1.0a0' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + geos: '>=3.11.1,<3.11.2.0a0' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: ae13271b8053b68bd007101ac9776ac6 - sha256: 6d71803e6a2ea8ef763e20ba2d607c03f7e6a9281696c8f076c7b0acd104a61f + md5: 115a51fda72ff01d7b7eb275183d6c72 + sha256: d22fc13a91df3bbd21c7de063b220692b7ccddaedf1ec8de056bc6659733a64b manager: conda name: librttopo optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/librttopo-1.1.0-h2842628_11.tar.bz2 + url: https://conda.anaconda.org/conda-forge/win-64/librttopo-1.1.0-he22b5cd_12.tar.bz2 version: 1.1.0 - category: main dependencies: @@ -9682,7 +9770,7 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/libssh2-1.10.0-h9a1e1f7_3.tar.bz2 version: 1.10.0 -- category: full +- category: main dependencies: libiconv: '>=1.17,<2.0a0' libzlib: '>=1.2.13,<1.3.0a0' @@ -9694,7 +9782,7 @@ package: sha256: bba812f5c8c4b47c2b97aa8e66fa43f11a4be37d2d383d766890b30b2f28cdde manager: conda name: libxml2 - optional: true + optional: false platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.10.3-hc3477c8_0.tar.bz2 version: 2.10.3 @@ -9730,48 +9818,58 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libs-5.3.0-7.tar.bz2 version: 5.3.0 -- category: main +- category: full dependencies: - intel-openmp: '' - tbb: 2021.* + bzip2: '>=1.0.8,<2.0a0' + libzlib: '>=1.2.12,<1.3.0a0' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 2ff89a7337a9636029b4db9466e9f8e3 - sha256: b130d13dba6a798cbcce8f19c52e9765b75b8668d2f8f95ba8210c63b6fa84eb + md5: 2519de0d9620dc2bc7e19caf6867136d + sha256: 5833c63548e4fae91da6d77739eab7dc9bf6542e43f105826b23c01bfdd9cb57 manager: conda - name: mkl - optional: false + name: pcre2 + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/mkl-2022.1.0-h6a75c08_874.tar.bz2 - version: 2022.1.0 -- category: full + url: https://conda.anaconda.org/conda-forge/win-64/pcre2-10.40-h17e33f8_0.tar.bz2 + version: '10.40' +- category: main dependencies: bzip2: '>=1.0.8,<2.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + libffi: '>=3.4,<4.0a0' + libsqlite: '>=3.40.0,<4.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + openssl: '>=3.0.7,<4.0a0' + tk: '>=8.6.12,<8.7.0a0' + tzdata: '' vc: '>=14.1,<15' vs2015_runtime: '>=14.16.27033' + xz: '>=5.2.6,<6.0a0' hash: - md5: 7c1c9ad6400f76a80eeadb6d5d9224fe - sha256: e0fdcff0968811dca67b37b6de5bc5de899ee77f6fee6981f4f9ec7b8b0bebcd + md5: 6532646d4c59a4363d1702791b8e2e73 + sha256: fc2f473fb6cf756581cedca7f2d826c2cf52a4c25f8595595fb6d2b69de7c540 manager: conda - name: pcre2 - optional: true + name: python + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pcre2-10.37-hdfff0fc_1.tar.bz2 - version: '10.37' -- category: main + url: https://conda.anaconda.org/conda-forge/win-64/python-3.9.15-h4de0772_0_cpython.conda + version: 3.9.15 +- category: full dependencies: - libsqlite: 3.39.4 hcfcfb64_0 + libsqlite: 3.40.0 hcfcfb64_0 + ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 780e5daa2897f989f46bc73f0e43fa62 - sha256: 173d51f94e4a9c0e6f2db18695a019062c06db136be36c818e0cb7e5fc5419c1 + md5: c71d4be22d8402e7e17386aeb18b930e + sha256: c4c9d991ae95a61109d2c0038fcae58410b6b7ecdded0e29254ddb1bfae340f8 manager: conda name: sqlite - optional: false + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/sqlite-3.39.4-hcfcfb64_0.tar.bz2 - version: 3.39.4 + url: https://conda.anaconda.org/conda-forge/win-64/sqlite-3.40.0-hcfcfb64_0.tar.bz2 + version: 3.40.0 - category: full dependencies: libsodium: '>=1.0.18,<1.0.19.0a0' @@ -9818,440 +9916,262 @@ package: version: 1.5.2 - category: full dependencies: - libzlib: '>=1.2.11,<1.3.0a0' - lz4-c: '>=1.9.3,<1.10.0a0' - snappy: '>=1.1.9,<2.0a0' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' - zstd: '>=1.5.2,<1.6.0a0' + python: 3.9.* hash: - md5: 90e1e39de7864e0e48654c0beb83e170 - sha256: 31f33776be873aaa30d422f82715ed9f2290cf453999bbba2459810b734df1c0 + md5: 0b7821445f86bbfc5b75ef9d812453c6 + sha256: 7c6f0748101ae31360b3a84727aceb246afd9fbb0eca17b1ebfe13ae58e62bf8 manager: conda - name: blosc + name: _ipython_minor_entry_point optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/blosc-1.21.1-h74325e0_3.tar.bz2 - version: 1.21.1 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/_ipython_minor_entry_point-8.7.0-h8cf3c4a_0.conda + version: 8.7.0 +- category: main dependencies: - bzip2: '>=1.0.8,<2.0a0' - libzlib: '>=1.2.11,<1.3.0a0' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' - zstd: '>=1.5.2,<1.6.0a0' + python: '' hash: - md5: 11a4273e974d63a99da36b89d6f918a9 - sha256: 7ceba854172cd69cf7f2580951a10e3d2e875f739b8a5a1c93503f29e1e6274a + md5: c0481c9de49f040272556e2cedf42816 + sha256: b3e9369529fe7d721b66f18680ff4b561e20dbf6507e209e1f60eac277c97560 manager: conda - name: boost-cpp - optional: true + name: asciitree + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/boost-cpp-1.78.0-h9f4b32c_1.tar.bz2 - version: 1.78.0 -- category: main + url: https://conda.anaconda.org/conda-forge/noarch/asciitree-0.3.3-py_2.tar.bz2 + version: 0.3.3 +- category: dev dependencies: - libbrotlidec: 1.0.9 hcfcfb64_8 - libbrotlienc: 1.0.9 hcfcfb64_8 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + python: '>=3.5' hash: - md5: e18b70ed349d96086fd60a9c642b1b58 - sha256: e8b55a51cb907f336c6f308d5d052483b0cad6a8b09040b811a7f12f4f199d67 + md5: 6d3ccbc56256204925bfa8378722792f + sha256: 86133878250874b3823bae7369bcad90187132537726cb1b546d88a0552d24de manager: conda - name: brotli-bin - optional: false + name: attrs + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/brotli-bin-1.0.9-hcfcfb64_8.tar.bz2 - version: 1.0.9 + url: https://conda.anaconda.org/conda-forge/noarch/attrs-22.1.0-pyh71513ae_1.tar.bz2 + version: 22.1.0 - category: full dependencies: - lz4-c: '>=1.9.3,<1.10.0a0' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - zlib-ng: '>=2.0.6,<2.1.0a0' - zstd: '>=1.5.2,<1.6.0a0' + python: '' hash: - md5: 7a27b9f41c59ebc82f55e8d3d5af86f1 - sha256: a0957bd4d4065a7d3d5ea82190644618d9f69640c72a42c16fc5abef2c93e900 + md5: 6006a6d08a3fa99268a2681c7fb55213 + sha256: ee62d6434090c1327a48551734e06bd10e65a64ef7f3b6e68719500dab0e42b9 manager: conda - name: c-blosc2 + name: backcall optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/c-blosc2-2.4.3-h183a6f4_0.tar.bz2 - version: 2.4.3 -- category: main + url: https://conda.anaconda.org/conda-forge/noarch/backcall-0.2.0-pyh9f0ad1d_0.tar.bz2 + version: 0.2.0 +- category: full dependencies: - libpng: '>=1.6.37,<1.7.0a0' - libzlib: '>=1.2.12,<1.3.0a0' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + python: '>=2.7' hash: - md5: 8bfa20ad87170f94e856133bafa5f5cf - sha256: 9afe3223a47a002d8f02184ac3d8bb2b7b4e44626e1e973cdd2843abbbea74fe + md5: 54ca2e08b3220c148a1d8329c2678e02 + sha256: 711602276ae39276cb0faaca6fd0ac851fff0ca17151917569174841ef830bbd manager: conda - name: freetype - optional: false + name: backports + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/freetype-2.12.1-h546665d_0.tar.bz2 - version: 2.12.1 + url: https://conda.anaconda.org/conda-forge/noarch/backports-1.0-pyhd8ed1ab_3.conda + version: '1.0' - category: full dependencies: - jpeg: '>=9e,<10a' libzlib: '>=1.2.13,<1.3.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' + snappy: '>=1.1.9,<2.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' - zlib: '' + zstd: '>=1.5.2,<1.6.0a0' hash: - md5: bfb6a2d82ef9a30455cc0900d89eed20 - sha256: 24842165790df11a664a9b9d8bc90c239427232ef2365d4b475f29101efd687f + md5: 06de41a00361a3ed7239af57663c8ad2 + sha256: 0f1e9f697cb7231f0b50ff4cb339ce452afb2390ce20315ded0bd002c4e8d02f manager: conda - name: hdf4 + name: blosc optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/hdf4-4.2.15-h1b1b6ef_5.tar.bz2 - version: 4.2.15 -- category: main + url: https://conda.anaconda.org/conda-forge/win-64/blosc-1.21.2-hdccc3a2_0.conda + version: 1.21.2 +- category: full dependencies: - mkl: 2022.1.0 h6a75c08_874 + bzip2: '>=1.0.8,<2.0a0' + libzlib: '>=1.2.11,<1.3.0a0' + vc: '>=14.1,<15' + vs2015_runtime: '>=14.16.27033' + zstd: '>=1.5.2,<1.6.0a0' hash: - md5: d2e6f4e86cee2b4e8c27ff6884ccdc61 - sha256: 0825e98108590b83f91177a6f31e4815441b2f70c67d29df36f11039c23b947a + md5: 11a4273e974d63a99da36b89d6f918a9 + sha256: 7ceba854172cd69cf7f2580951a10e3d2e875f739b8a5a1c93503f29e1e6274a manager: conda - name: libblas - optional: false + name: boost-cpp + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-16_win64_mkl.tar.bz2 - version: 3.9.0 + url: https://conda.anaconda.org/conda-forge/win-64/boost-cpp-1.78.0-h9f4b32c_1.tar.bz2 + version: 1.78.0 - category: main dependencies: - krb5: '>=1.19.3,<1.20.0a0' - libssh2: '>=1.10.0,<2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' + libbrotlidec: 1.0.9 hcfcfb64_8 + libbrotlienc: 1.0.9 hcfcfb64_8 ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 946fd31bacf1a0fdd365be869aa7467f - sha256: ae06a7597a954b8ed98189511909ab41d0b964c74e52fa2202737906e8d18d96 + md5: e18b70ed349d96086fd60a9c642b1b58 + sha256: e8b55a51cb907f336c6f308d5d052483b0cad6a8b09040b811a7f12f4f199d67 manager: conda - name: libcurl + name: brotli-bin optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libcurl-7.86.0-heaf79c2_0.tar.bz2 - version: 7.86.0 + url: https://conda.anaconda.org/conda-forge/win-64/brotli-bin-1.0.9-hcfcfb64_8.tar.bz2 + version: 1.0.9 - category: full dependencies: - gettext: '>=0.21.1,<1.0a0' - libffi: '>=3.4,<4.0a0' - libiconv: '>=1.17,<2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - pcre2: '>=10.37,<10.38.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 722e167b7ba88710c64bd0c2088a88fd - sha256: 860752b34443d78b522b9c37b34c953775d01e72cc84a084c23c4b4d47ce78ab + md5: dbf8ae0a9b59722ebaee4d32e3340238 + sha256: 1643508b3c4cc09acded20fffef814c69e6ee337b4ded0dfbf4962fc9ce0b3e2 manager: conda - name: libglib + name: brotli-python optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libglib-2.74.1-h79619a9_0.tar.bz2 - version: 2.74.1 + url: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.0.9-py39h99910a6_8.tar.bz2 + version: 1.0.9 - category: full dependencies: - krb5: '>=1.19.3,<1.20.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' + zlib-ng: '>=2.0.6,<2.1.0a0' + zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 6e8c4f0b01733da283bab3ed2f1b7729 - sha256: 8e7c6435842fd106e3c74c74a8852328376af6ed96c2fba2fe18ed9fc3cdb6e3 + md5: 4968ce1474086c3fe4c734a5a7549a38 + sha256: 05bf3631d193c745baa89eb41a68efc32f26ca892178866f8d2cc12facea509a manager: conda - name: libpq + name: c-blosc2 optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libpq-14.5-hf15792c_1.tar.bz2 - version: '14.5' + url: https://conda.anaconda.org/conda-forge/win-64/c-blosc2-2.6.0-h183a6f4_0.conda + version: 2.6.0 - category: main dependencies: - jpeg: '>=9e,<10a' - lerc: '>=4.0.0,<5.0a0' - libdeflate: '>=1.14,<1.15.0a0' - libzlib: '>=1.2.12,<1.3.0a0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - xz: '>=5.2.6,<5.3.0a0' - zstd: '>=1.5.2,<1.6.0a0' + python: '>=3.6' hash: - md5: 3ef0d0259b2d742e8c6a07598614a5d6 - sha256: 3944cdaa989e84abc978087c4591c3a2ca716ba167df167757a2330eab2758ef + md5: 576d629e47797577ab0f1b351297ef4a + sha256: 6dbf7a5070cc43d90a1e4c2ec0c541c69d8e30a0e25f50ce9f6e4a432e42c5d7 manager: conda - name: libtiff + name: cached_property optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libtiff-4.4.0-h8e97e67_4.tar.bz2 - version: 4.4.0 + url: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2 + version: 1.5.2 - category: main dependencies: - m2w64-gcc-libs: '' + python: '>=3.7' hash: - md5: a1f820480193ea83582b13249a7e7bd9 - sha256: bb5a6ddf1a609a63addd6d7b488b0f58d05092ea84e9203283409bff539e202a + md5: fb9addc3db06e56abe03e0e9f21a63e6 + sha256: 5e22af4776700200fab2c1df41a2188ab9cfe90a50c4f388592bb978562c88ec manager: conda - name: pthread-stubs + name: certifi optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pthread-stubs-0.4-hcd874cb_1001.tar.bz2 - version: '0.4' -- category: main + url: https://conda.anaconda.org/conda-forge/noarch/certifi-2022.12.7-pyhd8ed1ab_0.conda + version: 2022.12.7 +- category: dev dependencies: - bzip2: '>=1.0.8,<2.0a0' - libffi: '>=3.4.2,<3.5.0a0' - libzlib: '>=1.2.11,<1.3.0a0' - openssl: '>=3.0.3,<4.0a0' - sqlite: '>=3.38.5,<4.0a0' - tk: '>=8.6.12,<8.7.0a0' - tzdata: '' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' - xz: '>=5.2.5,<5.3.0a0' + python: '>=3.6' hash: - md5: 6017838044b4b984cffd2600d31a11de - sha256: 63e7fb11f273bd4481bebcfec301b54f6c8df69073914b8f05e615ad8b56d733 + md5: c1d5b294fbf9a795dec349a6f4d8be8e + sha256: 9e6170fa7b65b5546377eddb602d5ff871110f84bebf101b7b8177ff64aab1cb manager: conda - name: python - optional: false + name: charset-normalizer + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/python-3.9.13-hcf16a7b_0_cpython.tar.bz2 - version: 3.9.13 + url: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-2.1.1-pyhd8ed1ab_0.tar.bz2 + version: 2.1.1 - category: main dependencies: - m2w64-gcc-libs: '' + python: '>=3.6' hash: - md5: 9cef622e75683c17d05ae62d66e69e6c - sha256: 29f46932abfebfc32559d251b3aa0acbed8913c9ca05c1a89b8f6a37f74c4a11 + md5: a6cf47b09786423200d7982d1faa19eb + sha256: ad15e71f51afa48f44592e9f7cee74b6e1b90ddb1caacb5d3e043a62775b64bb manager: conda - name: xorg-libxau + name: cloudpickle optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/xorg-libxau-1.0.9-hcd874cb_0.tar.bz2 - version: 1.0.9 + url: https://conda.anaconda.org/conda-forge/noarch/cloudpickle-2.2.0-pyhd8ed1ab_0.tar.bz2 + version: 2.2.0 - category: main dependencies: - m2w64-gcc-libs: '' + python: '>=3.7' hash: - md5: 46878ebb6b9cbd8afcf8088d7ef00ece - sha256: f51205d33c07d744ec177243e5d9b874002910c731954f2c8da82459be462b93 + md5: 3faab06a954c2a04039983f2c4a50d99 + sha256: 2c1b2e9755ce3102bca8d69e8f26e4f087ece73f50418186aee7c74bef8e1698 manager: conda - name: xorg-libxdmcp + name: colorama optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/xorg-libxdmcp-1.1.3-hcd874cb_0.tar.bz2 - version: 1.1.3 + url: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2 + version: 0.4.6 - category: main dependencies: - python: '' + python: '>=3.6' hash: - md5: c0481c9de49f040272556e2cedf42816 - sha256: b3e9369529fe7d721b66f18680ff4b561e20dbf6507e209e1f60eac277c97560 + md5: a50559fad0affdbb33729a68669ca1cb + sha256: 3b594bc8aa0b9a51269d54c7a4ef6af777d7fad4bee16b05695e1124de6563f6 manager: conda - name: asciitree + name: cycler optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/asciitree-0.3.3-py_2.tar.bz2 - version: 0.3.3 -- category: dev + url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.11.0-pyhd8ed1ab_0.tar.bz2 + version: 0.11.0 +- category: full dependencies: - python: '>=3.5' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 6d3ccbc56256204925bfa8378722792f - sha256: 86133878250874b3823bae7369bcad90187132537726cb1b546d88a0552d24de + md5: a6230f545ce7bcc43f8444a23e493514 + sha256: 410e8bda56b3a2d09646b82e0e8ac327dcd8e86286ac6bfbe2b1f76cf401d47b manager: conda - name: attrs + name: debugpy optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/attrs-22.1.0-pyh71513ae_1.tar.bz2 - version: 22.1.0 + url: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.6.4-py39h99910a6_0.conda + version: 1.6.4 - category: full dependencies: - python: '' + python: '>=3.5' hash: - md5: 6006a6d08a3fa99268a2681c7fb55213 - sha256: ee62d6434090c1327a48551734e06bd10e65a64ef7f3b6e68719500dab0e42b9 + md5: 43afe5ab04e35e17ba28649471dd7364 + sha256: 328a6a379f9bdfd0230e51de291ce858e6479411ea4b0545fb377c71662ef3e2 manager: conda - name: backcall + name: decorator optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/backcall-0.2.0-pyh9f0ad1d_0.tar.bz2 - version: 0.2.0 + url: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2 + version: 5.1.1 - category: full dependencies: - python: '' + python: '>=3.6' hash: - md5: 0da16b293affa6ac31812376f8eb79dd - sha256: a584e690dbb042779af83abaa87a54764278c0a53bf5256ff8f5b0f0061ac283 + md5: 961b3a227b437d82ad7054484cfa71b2 + sha256: 9717a059677553562a8f38ff07f3b9f61727bd614f505658b0a5ecbcf8df89be manager: conda - name: backports + name: defusedxml optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/backports-1.0-py_2.tar.bz2 - version: '1.0' -- category: main + url: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2 + version: 0.7.1 +- category: dev dependencies: - brotli-bin: 1.0.9 hcfcfb64_8 - libbrotlidec: 1.0.9 hcfcfb64_8 - libbrotlienc: 1.0.9 hcfcfb64_8 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 2e661f21e1741c11506bdc7226e6b0bc - sha256: 6d2fc2f147c9fc6685124d984089683988729463193578ba1d62f80263bce3c5 - manager: conda - name: brotli - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/brotli-1.0.9-hcfcfb64_8.tar.bz2 - version: 1.0.9 -- category: main - dependencies: - python: '>=3.6' - hash: - md5: 576d629e47797577ab0f1b351297ef4a - sha256: 6dbf7a5070cc43d90a1e4c2ec0c541c69d8e30a0e25f50ce9f6e4a432e42c5d7 - manager: conda - name: cached_property - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2 - version: 1.5.2 -- category: main - dependencies: - python: '>=3.7' - hash: - md5: f66309b099374af91369e67e84af397d - sha256: 52e7459b3c457e888e2b6a4e6d13ab7f8675999bc12d20a83e34f12591a8771a - manager: conda - name: certifi - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/certifi-2022.9.24-pyhd8ed1ab_0.tar.bz2 - version: 2022.9.24 -- category: full - dependencies: - libcurl: '>=7.82.0,<8.0a0' - libzlib: '>=1.2.11,<1.3.0a0' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' - hash: - md5: df455e759b8bd9cb9beccd47306b55e7 - sha256: 6ff5eedca6e344fa853c827809f580b2bb7332273d48bf87ae9b58568fceccf4 - manager: conda - name: cfitsio - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/cfitsio-4.1.0-h5a969a9_0.tar.bz2 - version: 4.1.0 -- category: dev - dependencies: - python: '>=3.6' - hash: - md5: c1d5b294fbf9a795dec349a6f4d8be8e - sha256: 9e6170fa7b65b5546377eddb602d5ff871110f84bebf101b7b8177ff64aab1cb - manager: conda - name: charset-normalizer - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-2.1.1-pyhd8ed1ab_0.tar.bz2 - version: 2.1.1 -- category: main - dependencies: - python: '>=3.6' - hash: - md5: a6cf47b09786423200d7982d1faa19eb - sha256: ad15e71f51afa48f44592e9f7cee74b6e1b90ddb1caacb5d3e043a62775b64bb - manager: conda - name: cloudpickle - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/cloudpickle-2.2.0-pyhd8ed1ab_0.tar.bz2 - version: 2.2.0 -- category: main - dependencies: - python: '>=3.7' - hash: - md5: 3faab06a954c2a04039983f2c4a50d99 - sha256: 2c1b2e9755ce3102bca8d69e8f26e4f087ece73f50418186aee7c74bef8e1698 - manager: conda - name: colorama - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2 - version: 0.4.6 -- category: full - dependencies: - krb5: '>=1.19.3,<1.20.0a0' - libcurl: 7.86.0 heaf79c2_0 - libssh2: '>=1.10.0,<2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: c6ee1c3d46e5b6d0c762da09fa856738 - sha256: 733499310448dc267dcd572b5c3ffff24d8f0e44aebf8619d3eb6d815c0d18c0 - manager: conda - name: curl - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/curl-7.86.0-heaf79c2_0.tar.bz2 - version: 7.86.0 -- category: main - dependencies: - python: '>=3.6' - hash: - md5: a50559fad0affdbb33729a68669ca1cb - sha256: 3b594bc8aa0b9a51269d54c7a4ef6af777d7fad4bee16b05695e1124de6563f6 - manager: conda - name: cycler - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.11.0-pyhd8ed1ab_0.tar.bz2 - version: 0.11.0 -- category: full - dependencies: - python: '>=3.5' - hash: - md5: 43afe5ab04e35e17ba28649471dd7364 - sha256: 328a6a379f9bdfd0230e51de291ce858e6479411ea4b0545fb377c71662ef3e2 - manager: conda - name: decorator - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2 - version: 5.1.1 -- category: full - dependencies: - python: '>=3.6' - hash: - md5: 961b3a227b437d82ad7054484cfa71b2 - sha256: 9717a059677553562a8f38ff07f3b9f61727bd614f505658b0a5ecbcf8df89be - manager: conda - name: defusedxml - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2 - version: 0.7.1 -- category: dev - dependencies: - python: '>=3.7' + python: '>=3.7' hash: md5: 88c82ca702197fff8a5e87619707556b sha256: dcf93305a699e2ca83e25303f6d103beccce42d9bd9a4926c44aabe157e40b1e @@ -10277,14 +10197,14 @@ package: dependencies: python: '>=3.7' hash: - md5: da409b864dc21631820c81973df42587 - sha256: 201c07a4e0489f864ce25b5f1b132f672bee7647c21f65f9a273d710c4163ebd + md5: e0734d1f12de77f9daca98bda3428733 + sha256: abd2795af746b666b93ee42baf4de3ebaad82435b8291b6485325ecbc9d49f56 manager: conda name: exceptiongroup optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.0.0-pyhd8ed1ab_0.tar.bz2 - version: 1.0.0 + url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.0.4-pyhd8ed1ab_0.tar.bz2 + version: 1.0.4 - category: full dependencies: python: '>=2.7' @@ -10313,44 +10233,41 @@ package: dependencies: python: '>=3.6' hash: - md5: f93822cba5c20161560661988a88f2c0 - sha256: f56157ce4b55ef46a4fa4fe875703468e362b983099f864b740fd99aa80bbdbb + md5: 6d5e56de2e65da7aa35fd10131226efa + sha256: 251e79241eadab363eeaaf20f118423571e1a90ef351ae78e1c4574c53c8526c manager: conda name: flit-core optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/flit-core-3.7.1-pyhd8ed1ab_0.tar.bz2 - version: 3.7.1 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/flit-core-3.8.0-pyhd8ed1ab_0.tar.bz2 + version: 3.8.0 +- category: main dependencies: - expat: '>=2.4.9,<3.0a0' - freetype: '>=2.12.1,<3.0a0' - libiconv: '>=1.17,<2.0a0' + libpng: '>=1.6.39,<1.7.0a0' libzlib: '>=1.2.13,<1.3.0a0' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + vc: '>=14.1,<15' + vs2015_runtime: '>=14.16.27033' hash: - md5: 7db47ce2d047923726eb2681d336b9d8 - sha256: b35d2f1e9980f9ce3c982d47b947f930cfaae84367641d4b917cf3426843305a + md5: 1b513009cd012591f3fdc9e03a74ec0a + sha256: fe027235660d9dfe7889c350a51e96bc0134c3f408827a4c58c4b0557409984c manager: conda - name: fontconfig - optional: true + name: freetype + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/fontconfig-2.14.1-hbde0cde_0.tar.bz2 - version: 2.14.1 + url: https://conda.anaconda.org/conda-forge/win-64/freetype-2.12.1-h546665d_1.conda + version: 2.12.1 - category: main dependencies: python: '>=3.6' hash: - md5: ee4d78b97e857cb8d845c8fa4c898433 - sha256: 30ab06e5a472d7e1faed5b2189010345ab26be3e98460f5a5362c2651814014a + md5: eb919f2119a6db5d0192f9e9c3711572 + sha256: 1ba0e6a0c6f023753b6766fda092b333485a7c640f1069a64d003570c652bddb manager: conda name: fsspec optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2022.10.0-pyhd8ed1ab_0.tar.bz2 - version: 2022.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2022.11.0-pyhd8ed1ab_0.tar.bz2 + version: 2022.11.0 - category: main dependencies: python: '>=3.8' @@ -10363,22 +10280,23 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/future-0.18.2-pyhd8ed1ab_6.tar.bz2 version: 0.18.2 -- category: main +- category: full dependencies: - libcurl: '>=7.83.1,<8.0a0' - libzlib: '>=1.2.12,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + jpeg: '>=9e,<10a' + libzlib: '>=1.2.13,<1.3.0a0' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + zlib: '' hash: - md5: d7cfe4ed6cb88a7ef4ab101b2c67a58b - sha256: 0fce4569bb688c83e4aff240f096aa339435c9371001c80e89ec9fdf751ef906 + md5: bfb6a2d82ef9a30455cc0900d89eed20 + sha256: 24842165790df11a664a9b9d8bc90c239427232ef2365d4b475f29101efd687f manager: conda - name: hdf5 - optional: false + name: hdf4 + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/hdf5-1.12.2-nompi_h57737ce_100.tar.bz2 - version: 1.12.2 + url: https://conda.anaconda.org/conda-forge/win-64/hdf4-4.2.15-h1b1b6ef_5.tar.bz2 + version: 4.2.15 - category: main dependencies: python: '' @@ -10453,76 +10371,140 @@ package: version: 1.1.1 - category: main dependencies: - jpeg: '>=9e,<10a' - libtiff: '>=4.4.0,<5.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: a0deec92aa16fca7bf5a6717d05f88ee - sha256: 1e79c0c2ca28f00d2b171655ced23baf630aa87eca550ded775311c6dac04758 + md5: de04861ceb137d2952d3f2d0a13e9d46 + sha256: e73843fbff7ae10d7a75629c1e67f71b52b166123c0a65583fb1744ca2c66e39 manager: conda - name: lcms2 + name: kiwisolver optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/lcms2-2.14-h90d422f_0.tar.bz2 - version: '2.14' + url: https://conda.anaconda.org/conda-forge/win-64/kiwisolver-1.4.4-py39h1f6ef14_1.tar.bz2 + version: 1.4.4 +- category: dev + dependencies: + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 585c1e95953d7a395ff9f22872fbb1cd + sha256: 45b0e70363af2ad328abab59c30478aef548718c3e7495a66492d77c1ac92811 + manager: conda + name: lazy-object-proxy + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/lazy-object-proxy-1.8.0-py39ha55989b_0.tar.bz2 + version: 1.8.0 - category: main dependencies: - libblas: 3.9.0 16_win64_mkl + krb5: '>=1.19.3,<1.20.0a0' + libssh2: '>=1.10.0,<2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 14c2fb03b2bb14dfa3806186ca91d557 - sha256: 4ca91d4ff2ef409d2426c5aa5f451410bd817c0ad7410f3a95d62ddc13e2d1f1 + md5: d5fc1cba559c9889332ffb2a39001704 + sha256: 3c2edc12356b57aeb0d9ba11f273196b99862680bc7cec58f8b69f25cf4ab1b1 manager: conda - name: libcblas + name: libcurl optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-16_win64_mkl.tar.bz2 - version: 3.9.0 + url: https://conda.anaconda.org/conda-forge/win-64/libcurl-7.86.0-heaf79c2_1.tar.bz2 + version: 7.86.0 - category: full dependencies: - boost-cpp: '>=1.78.0,<1.78.1.0a0' - expat: '>=2.4.8,<3.0a0' - libzlib: '>=1.2.12,<1.3.0a0' + gettext: '>=0.21.1,<1.0a0' + libffi: '>=3.4,<4.0a0' + libiconv: '>=1.17,<2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + pcre2: '>=10.40,<10.41.0a0' + ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' - zlib: '>=1.2.12,<1.3.0a0' hash: - md5: 1f50b25e87cefda820cb71fb643bc021 - sha256: 4d136a0f5091dc988be0bd5648a36eb27df227e14f433ea2f5f022ba17137b42 + md5: 09e1cbabfd9d733729843c3b35cb0b6d + sha256: bc6c2ffae7c9156b154ebf75d99c7cbded3dfc891eacac63dcd2ea5c9e00f7ee manager: conda - name: libkml + name: libglib optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libkml-1.3.0-hf2ab4e4_1015.tar.bz2 - version: 1.3.0 + url: https://conda.anaconda.org/conda-forge/win-64/libglib-2.74.1-he8f3873_1.tar.bz2 + version: 2.74.1 - category: main dependencies: - libblas: 3.9.0 16_win64_mkl + libxml2: '>=2.9.14,<2.11.0a0' + pthreads-win32: '' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: be2f9d5712a5bb05cd900005ee752a05 - sha256: cb10f543120e277e44c342f65bcec2bd27f4bd206f5ea9332efd91e4551e5bac + md5: e84839b06cdd039130a1d1aa875146d3 + sha256: a3c5629dd103194ca49d06a975232d3a57e46cdef18c6ebf4f1da58a7772384d manager: conda - name: liblapack + name: libhwloc optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-16_win64_mkl.tar.bz2 - version: 3.9.0 -- category: main + url: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.8.0-h039e092_1.tar.bz2 + version: 2.8.0 +- category: full dependencies: - m2w64-gcc-libs: '' - pthread-stubs: '' - xorg-libxau: '' - xorg-libxdmcp: '' + krb5: '>=1.19.3,<1.20.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + openssl: '>=3.0.7,<4.0a0' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: a6d7fd030532378ecb6ba435cd9f8234 - sha256: a6fe7468ed3b9898f7beaa75f7e3adff9c7b96b39a36a3f8399c37223ec6a9e8 + md5: 5ddf458b2255785eee65ac701932a418 + sha256: 8786087bff946c7c2a8e980670f8a739f40a173f7e7c03d80d5f6e9edc2ab0ee manager: conda - name: libxcb + name: libpq + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/libpq-15.1-hf15792c_1.conda + version: '15.1' +- category: main + dependencies: + jpeg: '>=9e,<10a' + lerc: '>=4.0.0,<5.0a0' + libdeflate: '>=1.14,<1.15.0a0' + libzlib: '>=1.2.12,<1.3.0a0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + xz: '>=5.2.6,<5.3.0a0' + zstd: '>=1.5.2,<1.6.0a0' + hash: + md5: 3ef0d0259b2d742e8c6a07598614a5d6 + sha256: 3944cdaa989e84abc978087c4591c3a2ca716ba167df167757a2330eab2758ef + manager: conda + name: libtiff optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libxcb-1.13-hcd874cb_1004.tar.bz2 - version: '1.13' + url: https://conda.anaconda.org/conda-forge/win-64/libtiff-4.4.0-h8e97e67_4.tar.bz2 + version: 4.4.0 +- category: main + dependencies: + libzlib: '>=1.2.13,<1.3.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: c86948da5a5f49c2dfa015d4b789fbd0 + sha256: 3b4653d4cef6df9b1c992b0873cb1d912c142054b6a8fd7368dfaf22fe7a4da8 + manager: conda + name: llvmlite + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/llvmlite-0.39.1-py39hd28a505_1.tar.bz2 + version: 0.39.1 - category: main dependencies: python: '>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*' @@ -10535,6 +10517,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2 version: 1.0.0 +- category: main + dependencies: + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: b6dd8303ea8f1fc1417014b53742cef6 + sha256: 9af3424d16fe4aa24e9ce5488209ff3a266ad72e3c781ef2f4dca171890de6a8 + manager: conda + name: markupsafe + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.1-py39ha55989b_2.tar.bz2 + version: 2.1.1 - category: dev dependencies: python: '>=3.6' @@ -10559,6 +10557,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/mistune-2.0.4-pyhd8ed1ab_0.tar.bz2 version: 2.0.4 +- category: main + dependencies: + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 9afe90a33529768bb9854058398d620c + sha256: 6458755d6b01eaf0a88ffd1fed3871b7582d1a6bcd9fd88a1f5277c59e25ee84 + manager: conda + name: msgpack-python + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/msgpack-python-1.0.4-py39h1f6ef14_1.tar.bz2 + version: 1.0.4 - category: main dependencies: python: '' @@ -10587,30 +10601,26 @@ package: dependencies: python: '>=3.8' hash: - md5: 1b74438a7270b1e2cbd3de9dba18ebb6 - sha256: eda4b0dba46c72770bc410c794f4da62509623a24c12b9805954828278915dc7 + md5: bb45ff9deddb045331fd039949f39650 + sha256: a8e3531fdb6f9acfde885dd94c8639c020013215dab98ff4ed82db7aa745277a manager: conda name: networkx optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/networkx-2.8.7-pyhd8ed1ab_0.tar.bz2 - version: 2.8.7 + url: https://conda.anaconda.org/conda-forge/noarch/networkx-2.8.8-pyhd8ed1ab_0.tar.bz2 + version: 2.8.8 - category: main dependencies: - libpng: '>=1.6.37,<1.7.0a0' - libtiff: '>=4.4.0,<5.0a0' - libzlib: '>=1.2.12,<1.3.0a0' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + python: '>=3.7' hash: - md5: a6834096f8d834339eca7ef4d23bcc44 - sha256: 20bca4de8475314dc20561435ca0f6186d03502ff9914ac27be69826885dde48 + md5: 0e8e1bd93998978fc3125522266d12db + sha256: 163f26e55246c506a75551ca01f35c7d4d533aee6db5c4cf2d598ae253e956b8 manager: conda - name: openjpeg + name: packaging optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/openjpeg-2.5.0-hc9384bd_1.tar.bz2 - version: 2.5.0 + url: https://conda.anaconda.org/conda-forge/noarch/packaging-22.0-pyhd8ed1ab_0.conda + version: '22.0' - category: full dependencies: python: '!=3.0,!=3.1,!=3.2,!=3.3' @@ -10663,14 +10673,14 @@ package: dependencies: python: '>=3.7' hash: - md5: 2fb3f88922e7aec26ba652fcdfe13950 - sha256: a46843e317318405a8c66b640e7ad0c95d2f536918faa4f36cdfcda852000bcd + md5: b1b2ab02d1ece1719f7fa002ad4bc70d + sha256: 84f269198487823eaf5dbd1f1dd62f2f04c5dd98b66bb7e043cc6478dbf04f2e manager: conda name: platformdirs optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-2.5.2-pyhd8ed1ab_1.tar.bz2 - version: 2.5.2 + url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-2.6.0-pyhd8ed1ab_0.conda + version: 2.6.0 - category: dev dependencies: python: '>=3.8' @@ -10685,53 +10695,44 @@ package: version: 1.0.0 - category: full dependencies: - krb5: '>=1.19.3,<1.20.0a0' - libpq: 14.5 hf15792c_1 - libxml2: '>=2.10.3,<2.11.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.0.5,<4.0a0' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - zlib: '' + python: '>=3.6' hash: - md5: a0ad1503dfc7e5404e8bb49fa76748cf - sha256: 4a4b66e7113851fbf3224052783fe3f15430c717fe9594e5a197187c1b213acd + md5: b260ed41427dbbe70537b3030c643b2e + sha256: e3aaefcdfed2e2425c9d6c7f1f729b0c3210c241ad0d92f263b01971b18f5310 manager: conda - name: postgresql + name: prometheus_client optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/postgresql-14.5-h58a5ca5_1.tar.bz2 - version: '14.5' -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.15.0-pyhd8ed1ab_0.tar.bz2 + version: 0.15.0 +- category: main dependencies: - libcurl: '>=7.83.1,<8.0a0' - libsqlite: '>=3.39.3,<4.0a0' - libtiff: '>=4.4.0,<5.0a0' - sqlite: '>=3.39.3,<4.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 40201019efe10a1373387506cffa8cb1 - sha256: 6b55081c4f422832d432d453cdde60570909b127b03e512568bb601ac304863d + md5: 0efdaa5002b9e304d0cec05eab88a29f + sha256: d3f50661565fb5e5931593f4928fe8c31b7ca1b4fed9a7c7a20eb9f8346a4c0b manager: conda - name: proj - optional: true + name: psutil + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/proj-9.1.0-h3863b3b_0.tar.bz2 - version: 9.1.0 -- category: full + url: https://conda.anaconda.org/conda-forge/win-64/psutil-5.9.4-py39ha55989b_0.tar.bz2 + version: 5.9.4 +- category: main dependencies: - python: '>=3.6' + m2w64-gcc-libs: '' hash: - md5: b260ed41427dbbe70537b3030c643b2e - sha256: e3aaefcdfed2e2425c9d6c7f1f729b0c3210c241ad0d92f263b01971b18f5310 + md5: a1f820480193ea83582b13249a7e7bd9 + sha256: bb5a6ddf1a609a63addd6d7b488b0f58d05092ea84e9203283409bff539e202a manager: conda - name: prometheus_client - optional: true + name: pthread-stubs + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.15.0-pyhd8ed1ab_0.tar.bz2 - version: 0.15.0 + url: https://conda.anaconda.org/conda-forge/win-64/pthread-stubs-0.4-hcd874cb_1001.tar.bz2 + version: '0.4' - category: full dependencies: python: '>=3.5' @@ -10768,6 +10769,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.0.9-pyhd8ed1ab_0.tar.bz2 version: 3.0.9 +- category: full + dependencies: + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: c6980bf4ebf5f8a8d553567bc2d1fb97 + sha256: 12c2ab3f1b97e1fb876aeb496c1e7bdc0f95fcb7605bb5fc0c93ea57e7f93f65 + manager: conda + name: pyrsistent + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/pyrsistent-0.19.2-py39ha55989b_0.tar.bz2 + version: 0.19.2 - category: full dependencies: python: '>=3.3' @@ -10782,28 +10799,84 @@ package: version: 2.16.2 - category: main dependencies: - python: 3.9.* + python: '>=3.6' hash: - md5: 757068981fb2f97d0cadbba9ae6ae191 - sha256: c0aadb0df52257e5d31551711a04d97a201432e928d6b32518034cf6f1baa911 + md5: b1f26ad83328e486910ef7f6e81dc061 + sha256: d82fa6df6707afaf7e9f7034c810ced6e5c2b313ce9bf49eeee613b0711da0ab manager: conda - name: python_abi + name: pytz optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.9-2_cp39.tar.bz2 - version: '3.9' + url: https://conda.anaconda.org/conda-forge/noarch/pytz-2022.6-pyhd8ed1ab_0.tar.bz2 + version: '2022.6' +- category: full + dependencies: + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 4cb6e4e7a9a0c2889967a4f436e589bc + sha256: 6852c2708300ea836b68a91b9ebe837b0568d6db0ea8430791b03f32ea6f6406 + manager: conda + name: pywin32 + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/pywin32-304-py39h99910a6_2.tar.bz2 + version: '304' +- category: full + dependencies: + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + winpty: '' + hash: + md5: 4bd89a60ae1eb5cbea081e4bd20cd364 + sha256: 8d4860e255e08151e62484ef46550cff18a993e086b3b15fc48e1732531e317e + manager: conda + name: pywinpty + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/pywinpty-2.0.9-py39h99910a6_0.tar.bz2 + version: 2.0.9 - category: main dependencies: - python: '>=3.6' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + yaml: '>=0.2.5,<0.3.0a0' hash: - md5: 565724d09157870f0e469b1a0a172a6d - sha256: 0fc68b442d74920858fe7e4760c10efb22610fb27f28d2bfe98296b7ef2078f0 + md5: 03968ff66723b72b793e94033d0fbb2f + sha256: c58efc019e69505e017c6a1d5f7bf8c02bb60b32cfc7dba1743547d64ed6e217 manager: conda - name: pytz + name: pyyaml optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytz-2022.5-pyhd8ed1ab_0.tar.bz2 - version: '2022.5' + url: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0-py39ha55989b_5.tar.bz2 + version: '6.0' +- category: full + dependencies: + libsodium: '>=1.0.18,<1.0.19.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + zeromq: '>=4.3.4,<4.3.5.0a0' + hash: + md5: 22f22a1c03309ec4dc4c65122c87b668 + sha256: b4e061eca10e1b0ae766d05e3653191e4e61f76f3831d13880cdb7c5d52e03e8 + manager: conda + name: pyzmq + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/pyzmq-24.0.1-py39hea35a22_1.tar.bz2 + version: 24.0.1 - category: full dependencies: python: '>=3.6' @@ -10820,14 +10893,14 @@ package: dependencies: python: '>=3.7' hash: - md5: 462466739c786f85f9ed555f87099fe1 - sha256: 8c1e25e2aae26973bbfe074dcb34a8b4904357048f4e83cb21e8843ee36c1fd5 + md5: cfb8dc4d9d285ca5fb1177b9dd450e33 + sha256: 55521371cfbd1bc046c362a108f9b8e294c35604896757659c6fb6765b6955c2 manager: conda name: setuptools optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/setuptools-65.5.0-pyhd8ed1ab_0.tar.bz2 - version: 65.5.0 + url: https://conda.anaconda.org/conda-forge/noarch/setuptools-65.5.1-pyhd8ed1ab_0.tar.bz2 + version: 65.5.1 - category: main dependencies: python: '' @@ -10948,18 +11021,33 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/toolz-0.12.0-pyhd8ed1ab_0.tar.bz2 version: 0.12.0 +- category: main + dependencies: + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + vc: '>=14.1,<15' + vs2015_runtime: '>=14.16.27033' + hash: + md5: 244564c2450db05b6e7168902277fcdb + sha256: 5648bc352e86550fe053fb811201ff5acb6f1279f16460f9262f31739709f23a + manager: conda + name: tornado + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/tornado-6.1-py39hb82d6ee_3.tar.bz2 + version: '6.1' - category: full dependencies: python: '>=3.7' hash: - md5: 63650c013737b2801811bcd94524e863 - sha256: c5a333fa75f4d9ef577631a0ec6a3eb9d3538b5bc873286679cb3851419bf55b + md5: 96a8c913bcd01dd9ab7360290aeb4c42 + sha256: db45ac7c39fbc710ae0c178ac43eee642811f408be7778d1d5c4156618310cbe manager: conda name: traitlets optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.5.0-pyhd8ed1ab_0.tar.bz2 - version: 5.5.0 + url: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.7.1-pyhd8ed1ab_0.conda + version: 5.7.1 - category: dev dependencies: python: '>=3' @@ -10984,6 +11072,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.4.0-pyha770c72_0.tar.bz2 version: 4.4.0 +- category: main + dependencies: + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 3be582ed58b3e289836a1fdc4e41d0b8 + sha256: d29dbdab1c5bc9e39c26c9cb91bf5745746c99c5fbbacddab855e3ad11b2be67 + manager: conda + name: unicodedata2 + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/unicodedata2-15.0.0-py39ha55989b_0.tar.bz2 + version: 15.0.0 - category: main dependencies: python: '>=3.6' @@ -11012,26 +11116,26 @@ package: dependencies: python: '>=3.7' hash: - md5: f3b20ec2c97bad7104679b1d62eb7a11 - sha256: 911ac2b5c2bbe602c806ded8e5a40bd132e99ffa1dda10e27e6bc046c962fed6 + md5: 5309fca1777cfdd2d7ab582edb8cc41a + sha256: cf252c7ce64ab21e6dac77f070046f7523a9027059ab50856a17c3178f8c9187 manager: conda name: websocket-client optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.4.1-pyhd8ed1ab_0.tar.bz2 - version: 1.4.1 + url: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.4.2-pyhd8ed1ab_0.tar.bz2 + version: 1.4.2 - category: main dependencies: - python: '!=3.0,!=3.1,!=3.2,!=3.3,!=3.4' + python: '>=3.7' hash: - md5: 1ca02aaf78d9c70d9a81a3bed5752022 - sha256: aede66e6370f3b936164a703e48362f9080d7162234058fb2ee63cc84d528afc + md5: c829cfb8cb826acb9de0ac1a2df0a940 + sha256: bd4f11ff075ff251ade9f57686f31473e25be46ab282d9603f551401250f9f44 manager: conda name: wheel optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.37.1-pyhd8ed1ab_0.tar.bz2 - version: 0.37.1 + url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.38.4-pyhd8ed1ab_0.tar.bz2 + version: 0.38.4 - category: main dependencies: __win: '' @@ -11045,23 +11149,63 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/win_inet_pton-1.1.0-pyhd8ed1ab_6.tar.bz2 version: 1.1.0 -- category: full - dependencies: - python: '>=3.7' - hash: - md5: cd4eb48ebde7de61f92252979aab515c - sha256: 942b80980ae3db52f032720c82c2d4fb3f463b228762fc2d6a2684d6438fcc29 - manager: conda - name: zipp - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.10.0-pyhd8ed1ab_0.tar.bz2 - version: 3.10.0 -- category: full +- category: dev dependencies: python: '>=3.9,<3.10.0a0' python_abi: 3.9.* *_cp39 - setuptools: '' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: bc8c45e134cb0b52ef851ef0a6ad5c8f + sha256: c626d3d612d9dc21a4ae594b04173d8affd2ab45d92359f21c1300e9ba6edc26 + manager: conda + name: wrapt + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/wrapt-1.14.1-py39ha55989b_1.tar.bz2 + version: 1.14.1 +- category: main + dependencies: + m2w64-gcc-libs: '' + hash: + md5: 9cef622e75683c17d05ae62d66e69e6c + sha256: 29f46932abfebfc32559d251b3aa0acbed8913c9ca05c1a89b8f6a37f74c4a11 + manager: conda + name: xorg-libxau + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/xorg-libxau-1.0.9-hcd874cb_0.tar.bz2 + version: 1.0.9 +- category: main + dependencies: + m2w64-gcc-libs: '' + hash: + md5: 46878ebb6b9cbd8afcf8088d7ef00ece + sha256: f51205d33c07d744ec177243e5d9b874002910c731954f2c8da82459be462b93 + manager: conda + name: xorg-libxdmcp + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/xorg-libxdmcp-1.1.3-hcd874cb_0.tar.bz2 + version: 1.1.3 +- category: full + dependencies: + python: '>=3.7' + hash: + md5: 09b5b885341697137879a4f039a9e5a1 + sha256: d98e41fe62edde9d979d79114f8cffa992ca86f4e7428c75e3c8b8fd6ab040a3 + manager: conda + name: zipp + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.11.0-pyhd8ed1ab_0.conda + version: 3.11.0 +- category: full + dependencies: + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + setuptools: '' six: '' hash: md5: e93a38112d828f86d9184f3bc2533ffb @@ -11092,14 +11236,14 @@ package: python: '>=3.5' six: '' hash: - md5: 2e19652c1276ecec6477db3c60ca26c8 - sha256: fc97e082f049973612638b00280cbdd1aa839363b3be2b58e00b90e63657299d + md5: bf7f54dd0f25c3f06ecb82a07341841a + sha256: 7ed530efddd47a96c11197906b4008405b90e3bc2f4e0df722a36e0e6103fd9c manager: conda name: asttokens optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.1.0-pyhd8ed1ab_0.tar.bz2 - version: 2.1.0 + url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.2.1-pyhd8ed1ab_0.conda + version: 2.2.1 - category: full dependencies: backports: '' @@ -11129,19 +11273,36 @@ package: version: 4.11.1 - category: full dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + packaging: '' + python: '>=3.6' + setuptools: '' + six: '>=1.9.0' + webencodings: '' + hash: + md5: 1f5151d37e4a2b1137f81c89a3a769f2 + sha256: b85dd43a40efd13c860086365d181eb9bc64cc757c36a05edc7544c3fa622bf8 + manager: conda + name: bleach + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/bleach-5.0.1-pyhd8ed1ab_0.tar.bz2 + version: 5.0.1 +- category: main + dependencies: + brotli-bin: 1.0.9 hcfcfb64_8 + libbrotlidec: 1.0.9 hcfcfb64_8 + libbrotlienc: 1.0.9 hcfcfb64_8 ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: dbf8ae0a9b59722ebaee4d32e3340238 - sha256: 1643508b3c4cc09acded20fffef814c69e6ee337b4ded0dfbf4962fc9ce0b3e2 + md5: 2e661f21e1741c11506bdc7226e6b0bc + sha256: 6d2fc2f147c9fc6685124d984089683988729463193578ba1d62f80263bce3c5 manager: conda - name: brotli-python - optional: true + name: brotli + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.0.9-py39h99910a6_8.tar.bz2 + url: https://conda.anaconda.org/conda-forge/win-64/brotli-1.0.9-hcfcfb64_8.tar.bz2 version: 1.0.9 - category: main dependencies: @@ -11155,28 +11316,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2 version: 1.5.2 -- category: full - dependencies: - fontconfig: '>=2.13.96,<3.0a0' - fonts-conda-ecosystem: '' - freetype: '>=2.12.1,<3.0a0' - icu: '>=70.1,<71.0a0' - libglib: '>=2.72.1,<3.0a0' - libpng: '>=1.6.38,<1.7.0a0' - libzlib: '>=1.2.12,<1.3.0a0' - pixman: '>=0.40.0,<1.0a0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - zlib: '>=1.2.12,<1.3.0a0' - hash: - md5: 91f08ed9ff25a969ddd06237454dae0d - sha256: 9f61fd45d0c9d27bd5e2bf4eeb3662d97691dc7d08b4007060776ce91f1a0d35 - manager: conda - name: cairo - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/cairo-1.16.0-hd694305_1014.tar.bz2 - version: 1.16.0 - category: main dependencies: pycparser: '' @@ -11194,6 +11333,22 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/cffi-1.15.1-py39h68f70e3_2.tar.bz2 version: 1.15.1 +- category: full + dependencies: + libcurl: '>=7.86.0,<8.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: cccd314cbeea4f2f70f73c763d9660e8 + sha256: 18e893342e7ac8254741ea1dbae1b1f8e7771f2fdbb12e591e55f3a0519343ef + manager: conda + name: cfitsio + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/cfitsio-4.2.0-h9ebe7e4_0.conda + version: 4.2.0 - category: main dependencies: __win: '' @@ -11208,6 +11363,19 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/click-8.1.3-win_pyhd8ed1ab_2.tar.bz2 version: 8.1.3 +- category: full + dependencies: + python: '>=3.6' + traitlets: '>=5.3' + hash: + md5: 3c78af4752bb1600ebe5e83ef4588eaa + sha256: b33f5e5eb2bedefc3db622dd0b2f4ea67b621080153913eb22486aac78b6f54f + manager: conda + name: comm + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/comm-0.1.2-pyhd8ed1ab_0.conda + version: 0.1.2 - category: dev dependencies: python: '>=3.9,<3.10.0a0' @@ -11225,6 +11393,24 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/coverage-6.5.0-py39ha55989b_1.tar.bz2 version: 6.5.0 +- category: full + dependencies: + krb5: '>=1.19.3,<1.20.0a0' + libcurl: 7.86.0 heaf79c2_1 + libssh2: '>=1.10.0,<2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 2c3f3665f99eb0a712801561707c6382 + sha256: 7f46ba534fc33a0db4f57b60c9baa67ab34e887d0b6aa23dd55efdf20e8ce49a + manager: conda + name: curl + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/curl-7.86.0-heaf79c2_1.tar.bz2 + version: 7.86.0 - category: main dependencies: python: '>=3.9,<3.10.0a0' @@ -11244,90 +11430,103 @@ package: version: 0.12.0 - category: full dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + expat: '>=2.4.9,<3.0a0' + freetype: '>=2.12.1,<3.0a0' + libiconv: '>=1.17,<2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 4ebeaf1b504abcc35fcdb199d9995473 - sha256: 32f564733fe827c851f69e7ea31c8b41c17fdafc61017e7dd375ffbf2b686604 + md5: 7db47ce2d047923726eb2681d336b9d8 + sha256: b35d2f1e9980f9ce3c982d47b947f930cfaae84367641d4b917cf3426843305a manager: conda - name: debugpy + name: fontconfig optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.6.3-py39h99910a6_1.tar.bz2 - version: 1.6.3 -- category: full + url: https://conda.anaconda.org/conda-forge/win-64/fontconfig-2.14.1-hbde0cde_0.tar.bz2 + version: 2.14.1 +- category: main dependencies: - jpeg: '>=9e,<10a' - libtiff: '>=4.4.0,<5.0a0' + libcurl: '>=7.83.1,<8.0a0' libzlib: '>=1.2.12,<1.3.0a0' - proj: '>=9.1.0,<9.1.1.0a0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - zlib: '>=1.2.12,<1.3.0a0' + openssl: '>=3.0.5,<4.0a0' + vc: '>=14.1,<15' + vs2015_runtime: '>=14.16.27033' hash: - md5: 411fd346ad4b588b4f36db902abef917 - sha256: 86ce91110c05c49468d29340247105159153329b3d817127c7a8bb427f1dacfd + md5: d7cfe4ed6cb88a7ef4ab101b2c67a58b + sha256: 0fce4569bb688c83e4aff240f096aa339435c9371001c80e89ec9fdf751ef906 manager: conda - name: geotiff - optional: true + name: hdf5 + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/geotiff-1.7.1-h4ffd875_4.tar.bz2 - version: 1.7.1 + url: https://conda.anaconda.org/conda-forge/win-64/hdf5-1.12.2-nompi_h57737ce_100.tar.bz2 + version: 1.12.2 - category: full dependencies: python: '>=3.8' zipp: '>=0.5' hash: - md5: ec069c4db6a0ad84107bac5da62819d2 - sha256: cea7928e6949c3ecd15e56ee8fa4e54efa8bb82738b8264e0489847e86e022c8 + md5: 46a62e35b9ae515cf0e49afc7fe0e7ef + sha256: 6e5e45c3cc3ba9fc854cd80960d775ff6c042e1f0b1351ca2e294b1b9d987d8c manager: conda name: importlib-metadata optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-5.0.0-pyha770c72_1.tar.bz2 - version: 5.0.0 + url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-5.1.0-pyha770c72_0.conda + version: 5.1.0 - category: full dependencies: python: '>=3.6' zipp: '>=3.1.0' hash: - md5: eb521efe7f5550de7573bc1629b74a05 - sha256: d4929ef6dd4ba4222dc2bd737c365833b896a3ee89f9e5142df763799b5ca944 + md5: db5d88c84c769798bf4b2f6776446b32 + sha256: 89347f8b0bcc0fcc31620cc5745f1cb34e71b9f7692a0384cb411090daea192f manager: conda name: importlib_resources optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.10.0-pyhd8ed1ab_0.tar.bz2 - version: 5.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.10.1-pyhd8ed1ab_0.conda + version: 5.10.1 - category: dev dependencies: python: '>=3.6,<4.0' setuptools: '' hash: - md5: 83df9ffefe1cc01d9e60405bf871bfdb - sha256: b9c74f448872cea7ecc10c6f3ec718427ec9632d446e102ef9525f23c172cf5a + md5: 9ee052b5a12b65ecce7a854a38675106 + sha256: 8288fe6d26deaf90b720f0c3f6e5b908d750dec6fb5a85ca05886030e1478667 manager: conda name: isort optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/isort-5.10.1-pyhd8ed1ab_0.tar.bz2 - version: 5.10.1 + url: https://conda.anaconda.org/conda-forge/noarch/isort-5.11.1-pyhd8ed1ab_0.conda + version: 5.11.1 - category: full dependencies: parso: '>=0.8.0,<0.9.0' python: '>=3.6' hash: - md5: 0e613217e78777045199372a2b0d5bd2 - sha256: 1c7150635f00455037bbede8a6c0086531c45e8e257ff6eaaf7aa134ccd20767 + md5: b5e695ef9c3f0d27d6cd96bf5adc9e07 + sha256: abe63ae6e1b13f83500608d94004cb8d485b264083511d77f79253e775cd546c manager: conda name: jedi optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.18.1-pyhd8ed1ab_2.tar.bz2 - version: 0.18.1 + url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.18.2-pyhd8ed1ab_0.conda + version: 0.18.2 +- category: main + dependencies: + markupsafe: '>=2.0' + python: '>=3.7' + hash: + md5: c8490ed5c70966d232fdd389d0dbed37 + sha256: b045faba7130ab263db6a8fdc96b1a3de5fcf85c4a607c5f11a49e76851500b5 + manager: conda + name: jinja2 + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2 + version: 3.1.2 - category: main dependencies: python: '>=3.6' @@ -11343,127 +11542,68 @@ package: version: 1.2.0 - category: full dependencies: - hdf5: '>=1.12.2,<1.12.3.0a0' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + platformdirs: '>=2.5' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + pywin32: '>=1.0' + traitlets: '>=5.3' hash: - md5: 8af922f4e73960925b80852c806879ef - sha256: e4aa5343aafa89dea01e1d39faffe7b0bc667f744b106a3e6d3302800c645265 + md5: da29686c6f8f7f896f6fb2d1ebc88478 + sha256: b996c320192f47604fa7bcd0a9a50bd9980eb02e92a5509cc575ef2e80e4a1c0 manager: conda - name: kealib + name: jupyter_core optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/kealib-1.4.15-hdf81f3a_1.tar.bz2 - version: 1.4.15 + url: https://conda.anaconda.org/conda-forge/win-64/jupyter_core-5.1.0-py39hcbf5309_0.conda + version: 5.1.0 - category: main dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + jpeg: '>=9e,<10a' + libtiff: '>=4.4.0,<5.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: de04861ceb137d2952d3f2d0a13e9d46 - sha256: e73843fbff7ae10d7a75629c1e67f71b52b166123c0a65583fb1744ca2c66e39 + md5: a0deec92aa16fca7bf5a6717d05f88ee + sha256: 1e79c0c2ca28f00d2b171655ced23baf630aa87eca550ded775311c6dac04758 manager: conda - name: kiwisolver + name: lcms2 optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/kiwisolver-1.4.4-py39h1f6ef14_1.tar.bz2 - version: 1.4.4 -- category: dev + url: https://conda.anaconda.org/conda-forge/win-64/lcms2-2.14-h90d422f_0.tar.bz2 + version: '2.14' +- category: full dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' + boost-cpp: '>=1.78.0,<1.78.1.0a0' + expat: '>=2.4.8,<3.0a0' + libzlib: '>=1.2.12,<1.3.0a0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' + zlib: '>=1.2.12,<1.3.0a0' hash: - md5: 585c1e95953d7a395ff9f22872fbb1cd - sha256: 45b0e70363af2ad328abab59c30478aef548718c3e7495a66492d77c1ac92811 + md5: 1f50b25e87cefda820cb71fb643bc021 + sha256: 4d136a0f5091dc988be0bd5648a36eb27df227e14f433ea2f5f022ba17137b42 manager: conda - name: lazy-object-proxy + name: libkml optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/lazy-object-proxy-1.8.0-py39ha55989b_0.tar.bz2 - version: 1.8.0 -- category: full + url: https://conda.anaconda.org/conda-forge/win-64/libkml-1.3.0-hf2ab4e4_1015.tar.bz2 + version: 1.3.0 +- category: main dependencies: - bzip2: '>=1.0.8,<2.0a0' - curl: '' - hdf4: '>=4.2.15,<4.2.16.0a0' - hdf5: '>=1.12.2,<1.12.3.0a0' - jpeg: '>=9e,<10a' - libxml2: '>=2.10.3,<2.11.0a0' - libzip: '>=1.9.2,<2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + m2w64-gcc-libs: '' + pthread-stubs: '' + xorg-libxau: '' + xorg-libxdmcp: '' hash: - md5: 90515eee0f7575b5fd296b6ba8d91dae - sha256: b4973b73e8b0b5c5c2c0715dce98a046faafb145e82f964132d8da9a614c0ca6 + md5: a6d7fd030532378ecb6ba435cd9f8234 + sha256: a6fe7468ed3b9898f7beaa75f7e3adff9c7b96b39a36a3f8399c37223ec6a9e8 manager: conda - name: libnetcdf - optional: true + name: libxcb + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libnetcdf-4.8.1-nompi_h8c042bf_106.tar.bz2 - version: 4.8.1 -- category: full - dependencies: - freexl: '>=1.0.6,<2.0a0' - geos: '>=3.11.0,<3.11.1.0a0' - librttopo: '>=1.1.0,<1.2.0a0' - libsqlite: '>=3.39.3,<4.0a0' - libxml2: '>=2.10.2,<2.11.0a0' - libzlib: '>=1.2.12,<1.3.0a0' - proj: '>=9.1.0,<9.1.1.0a0' - sqlite: '>=3.39.3,<4.0a0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - zlib: '>=1.2.12,<1.3.0a0' - hash: - md5: b2dee850d3480f9c20a2cee4fdb1fd37 - sha256: 24612fe9e682b3c3711e43640565546d07a6a338b86e5101fcc212643d54891c - manager: conda - name: libspatialite - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libspatialite-5.0.1-hd560d62_21.tar.bz2 - version: 5.0.1 -- category: main - dependencies: - libzlib: '>=1.2.13,<1.3.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: c86948da5a5f49c2dfa015d4b789fbd0 - sha256: 3b4653d4cef6df9b1c992b0873cb1d912c142054b6a8fd7368dfaf22fe7a4da8 - manager: conda - name: llvmlite - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/llvmlite-0.39.1-py39hd28a505_1.tar.bz2 - version: 0.39.1 -- category: main - dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: b6dd8303ea8f1fc1417014b53742cef6 - sha256: 9af3424d16fe4aa24e9ce5488209ff3a266ad72e3c781ef2f4dca171890de6a8 - manager: conda - name: markupsafe - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.1-py39ha55989b_2.tar.bz2 - version: 2.1.1 + url: https://conda.anaconda.org/conda-forge/win-64/libxcb-1.13-hcd874cb_1004.tar.bz2 + version: '1.13' - category: full dependencies: python: '>=3.6' @@ -11477,22 +11617,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.6-pyhd8ed1ab_0.tar.bz2 version: 0.1.6 -- category: main - dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 9afe90a33529768bb9854058398d620c - sha256: 6458755d6b01eaf0a88ffd1fed3871b7582d1a6bcd9fd88a1f5277c59e25ee84 - manager: conda - name: msgpack-python - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/msgpack-python-1.0.4-py39h1f6ef14_1.tar.bz2 - version: 1.0.4 - category: full dependencies: python: '' @@ -11509,36 +11633,20 @@ package: version: 2.5.0 - category: main dependencies: - libblas: '>=3.9.0,<4.0a0' - libcblas: '>=3.9.0,<4.0a0' - liblapack: '>=3.9.0,<4.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 5efa809d78fa26365de52841400e40a5 - sha256: 13f4108db196e27383284cbf3bf8d4cf285ca470580280a37a3a7134b8c40489 - manager: conda - name: numpy - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/numpy-1.23.4-py39hbccbffa_1.tar.bz2 - version: 1.23.4 -- category: main - dependencies: - pyparsing: '>=2.0.2,!=3.0.5' - python: '>=3.6' + libpng: '>=1.6.37,<1.7.0a0' + libtiff: '>=4.4.0,<5.0a0' + libzlib: '>=1.2.12,<1.3.0a0' + vc: '>=14.1,<15' + vs2015_runtime: '>=14.16.27033' hash: - md5: 71f1ab2de48613876becddd496371c85 - sha256: 8322a9e93e2e09fbf2103f0d37c9287b7b97387125abadd6db26686084893540 + md5: a6834096f8d834339eca7ef4d23bcc44 + sha256: 20bca4de8475314dc20561435ca0f6186d03502ff9914ac27be69826885dde48 manager: conda - name: packaging + name: openjpeg optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/packaging-21.3-pyhd8ed1ab_0.tar.bz2 - version: '21.3' + url: https://conda.anaconda.org/conda-forge/win-64/openjpeg-2.5.0-hc9384bd_1.tar.bz2 + version: 2.5.0 - category: main dependencies: locket: '' @@ -11553,74 +11661,70 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/partd-1.3.0-pyhd8ed1ab_0.tar.bz2 version: 1.3.0 -- category: main - dependencies: - freetype: '>=2.12.1,<3.0a0' - jpeg: '>=9e,<10a' - lcms2: '>=2.12,<3.0a0' - libtiff: '>=4.4.0,<5.0a0' - libwebp-base: '>=1.2.4,<2.0a0' - libxcb: '>=1.13,<1.14.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - openjpeg: '>=2.5.0,<3.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - tk: '>=8.6.12,<8.7.0a0' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 2136fed21965598cd159e6df274e37f5 - sha256: 2920a4f91e7a2ce920c80a64558d5562df8782946c4fd786aa19dc0411535d33 - manager: conda - name: pillow - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pillow-9.2.0-py39h595c93f_3.tar.bz2 - version: 9.2.0 - category: main dependencies: python: '>=3.7' setuptools: '' wheel: '' hash: - md5: 6f4c6de9fed2a9bd8043283611b09587 - sha256: 9300dd4a4ca6ced6ebaf455e7be43aeb47e1d764de1c3f448d9dc98ab3b32942 + md5: da66f2851b9836d3a7c5190082a45f7d + sha256: 7a86b2427abbf5cf695da192ba1c03130115f157297e7bfde65f0a18a345a7bc manager: conda name: pip optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/pip-22.3-pyhd8ed1ab_0.tar.bz2 - version: '22.3' + url: https://conda.anaconda.org/conda-forge/noarch/pip-22.3.1-pyhd8ed1ab_0.tar.bz2 + version: 22.3.1 - category: full dependencies: python: '>=3.6' tenacity: '>=6.2.0' hash: - md5: 71aef86c572ad0ee49dba9af238d9c13 - sha256: b41f31aa81bff52d1d473a9f4a45c5600f36b8b7f259a8a572467d1836bad59a + md5: e594a3343150c5c470902d46e1723b45 + sha256: 60de0401c5bd29db1d3112cc56919010d89cfd38239f122c51df78ea5fd82e7e manager: conda name: plotly optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/plotly-5.11.0-pyhd8ed1ab_0.tar.bz2 + url: https://conda.anaconda.org/conda-forge/noarch/plotly-5.11.0-pyhd8ed1ab_1.conda version: 5.11.0 -- category: main +- category: full dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + krb5: '>=1.19.3,<1.20.0a0' + libpq: 15.1 hf15792c_1 + libxml2: '>=2.10.3,<2.11.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + openssl: '>=3.0.7,<4.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' + zlib: '' hash: - md5: 7c397ea136c97fb069e80918ccdf8976 - sha256: 70cdcad07f657e78005149ad103d2fe91d7c062e92fd549f69e86a25e18984d1 + md5: 5522f38347632c52f675427c7918e57d + sha256: eb00909ee1bf5baaedab5e0d0764285e554a7a70e6a6cf2f37bb7e631599746f manager: conda - name: psutil - optional: false + name: postgresql + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/postgresql-15.1-h58a5ca5_1.conda + version: '15.1' +- category: full + dependencies: + libcurl: '>=7.83.1,<8.0a0' + libsqlite: '>=3.39.3,<4.0a0' + libtiff: '>=4.4.0,<5.0a0' + sqlite: '>=3.39.3,<4.0a0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 40201019efe10a1373387506cffa8cb1 + sha256: 6b55081c4f422832d432d453cdde60570909b127b03e512568bb601ac304863d + manager: conda + name: proj + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/psutil-5.9.3-py39ha55989b_1.tar.bz2 - version: 5.9.3 + url: https://conda.anaconda.org/conda-forge/win-64/proj-9.1.0-h3863b3b_0.tar.bz2 + version: 9.1.0 - category: full dependencies: python: '>=3.6' @@ -11634,22 +11738,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/pygments-2.13.0-pyhd8ed1ab_0.tar.bz2 version: 2.13.0 -- category: full - dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 1128b005fef6cfe7f41f4236bbefbdf1 - sha256: 0be09fcdced56104f12744204b7e4355f4d317d7e8e8c91d979c31bd84e22d11 - manager: conda - name: pyrsistent - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pyrsistent-0.18.1-py39ha55989b_2.tar.bz2 - version: 0.18.1 - category: main dependencies: __win: '' @@ -11664,6 +11752,25 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh0701188_6.tar.bz2 version: 1.7.1 +- category: dev + dependencies: + attrs: '>=19.2.0' + colorama: '' + exceptiongroup: '' + iniconfig: '' + packaging: '' + pluggy: '>=0.12,<2.0' + python: '>=3.8' + tomli: '>=1.0.0' + hash: + md5: ac82c7aebc282e6ac0450fca012ca78c + sha256: 854233dc2d0d64219b7e951ccf49c1f32332c6fc7085ecb62cc18bc1f4e791b0 + manager: conda + name: pytest + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.0-pyhd8ed1ab_2.tar.bz2 + version: 7.2.0 - category: main dependencies: python: '>=3.6' @@ -11679,115 +11786,56 @@ package: version: 2.8.2 - category: full dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 4cb6e4e7a9a0c2889967a4f436e589bc - sha256: 6852c2708300ea836b68a91b9ebe837b0568d6db0ea8430791b03f32ea6f6406 - manager: conda - name: pywin32 - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pywin32-304-py39h99910a6_2.tar.bz2 - version: '304' -- category: full - dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - winpty: '' + python: '' + six: '>=1.7.0' hash: - md5: 4bd89a60ae1eb5cbea081e4bd20cd364 - sha256: 8d4860e255e08151e62484ef46550cff18a993e086b3b15fc48e1732531e317e + md5: a11f356d6f93b74b4a84e9501afd48b4 + sha256: ef407b88c45171f41eadcbbcfd41243cb137fe7438fc18f4cd08181c522664cf manager: conda - name: pywinpty + name: retrying optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pywinpty-2.0.9-py39h99910a6_0.tar.bz2 - version: 2.0.9 + url: https://conda.anaconda.org/conda-forge/noarch/retrying-1.3.3-py_2.tar.bz2 + version: 1.3.3 - category: main dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + libhwloc: '>=2.8.0,<2.8.1.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' - yaml: '>=0.2.5,<0.3.0a0' hash: - md5: 03968ff66723b72b793e94033d0fbb2f - sha256: c58efc019e69505e017c6a1d5f7bf8c02bb60b32cfc7dba1743547d64ed6e217 + md5: 39365b918d4f04909485f3055b131c86 + sha256: f6489406b16c8a5d0e65df20a43c23999960348dbb999b921899f33d7b1bc1fb manager: conda - name: pyyaml + name: tbb optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0-py39ha55989b_5.tar.bz2 - version: '6.0' + url: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.7.0-h91493d7_1.conda + version: 2021.7.0 - category: full dependencies: - libsodium: '>=1.0.18,<1.0.19.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - zeromq: '>=4.3.4,<4.3.5.0a0' + __win: '' + python: '>=3.7' + pywinpty: '>=1.1.0' + tornado: '>=6.1.0' hash: - md5: 22f22a1c03309ec4dc4c65122c87b668 - sha256: b4e061eca10e1b0ae766d05e3653191e4e61f76f3831d13880cdb7c5d52e03e8 + md5: 0152a609d5748ed9887d195b1e61a6c9 + sha256: 5c8fcf31430e0f312bc65ab5aa5b893fcc250820c023b02ff3fd188ae13199a5 manager: conda - name: pyzmq + name: terminado optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pyzmq-24.0.1-py39hea35a22_1.tar.bz2 - version: 24.0.1 + url: https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.0-pyh08f2357_0.tar.bz2 + version: 0.17.0 - category: full dependencies: - python: '' - six: '>=1.7.0' + python: '>=3.5' + webencodings: '>=0.4' hash: - md5: a11f356d6f93b74b4a84e9501afd48b4 - sha256: ef407b88c45171f41eadcbbcfd41243cb137fe7438fc18f4cd08181c522664cf + md5: 7234c9eefff659501cd2fe0d2ede4d48 + sha256: f0db1a2298a5e10e30f4b947566c7229442834702f549dded40a73ecdea7502d manager: conda - name: retrying - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/retrying-1.3.3-py_2.tar.bz2 - version: 1.3.3 -- category: full - dependencies: - bzip2: '>=1.0.8,<2.0a0' - curl: '' - libzlib: '>=1.2.13,<1.3.0a0' - lz4-c: '>=1.9.3,<1.10.0a0' - openssl: '>=3.0.5,<4.0a0' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - zlib: '' - zstd: '>=1.5.2,<1.6.0a0' - hash: - md5: 301b6102734797d622ba0871e7452992 - sha256: 2d84668ba9875b2e927d4c9d3ca1d3d80fa6258aed7d99b72f51a84c65bf153a - manager: conda - name: tiledb - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/tiledb-2.11.3-h3132609_1.tar.bz2 - version: 2.11.3 -- category: full - dependencies: - python: '>=3.5' - webencodings: '>=0.4' - hash: - md5: 7234c9eefff659501cd2fe0d2ede4d48 - sha256: f0db1a2298a5e10e30f4b947566c7229442834702f549dded40a73ecdea7502d - manager: conda - name: tinycss2 + name: tinycss2 optional: true platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.2.1-pyhd8ed1ab_0.tar.bz2 @@ -11805,21 +11853,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/tomlkit-0.11.6-pyha770c72_0.tar.bz2 version: 0.11.6 -- category: main - dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' - hash: - md5: 244564c2450db05b6e7168902277fcdb - sha256: 5648bc352e86550fe053fb811201ff5acb6f1279f16460f9262f31739709f23a - manager: conda - name: tornado - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/tornado-6.1-py39hb82d6ee_3.tar.bz2 - version: '6.1' - category: main dependencies: colorama: '' @@ -11845,38 +11878,19 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.4.0-hd8ed1ab_0.tar.bz2 version: 4.4.0 -- category: main - dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 3be582ed58b3e289836a1fdc4e41d0b8 - sha256: d29dbdab1c5bc9e39c26c9cb91bf5745746c99c5fbbacddab855e3ad11b2be67 - manager: conda - name: unicodedata2 - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/unicodedata2-15.0.0-py39ha55989b_0.tar.bz2 - version: 15.0.0 -- category: dev +- category: full dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + markupsafe: '>=2.1.1' + python: '>=3.7' hash: - md5: bc8c45e134cb0b52ef851ef0a6ad5c8f - sha256: c626d3d612d9dc21a4ae594b04173d8affd2ab45d92359f21c1300e9ba6edc26 + md5: 8e69568592e552919201f730b01a58c2 + sha256: 3bb3d6a98f9e3c6081166d81368e4a0e48fdbfe19e683a957ac344b063c42412 manager: conda - name: wrapt + name: werkzeug optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/wrapt-1.14.1-py39ha55989b_1.tar.bz2 - version: 1.14.1 + url: https://conda.anaconda.org/conda-forge/noarch/werkzeug-2.2.2-pyhd8ed1ab_0.tar.bz2 + version: 2.2.2 - category: main dependencies: heapdict: '' @@ -11916,30 +11930,14 @@ package: typing-extensions: '>=3.10' wrapt: '>=1.11,<2' hash: - md5: ab0caf65e5427fe95a667eddcd63aa51 - sha256: 7c13d92a4456d9792c05594392ddaeaa7d4ae18c2d28eb2e8ba6794d732a6d1a + md5: 167055371d755afcdc81406d42baca97 + sha256: 4e2a9c7d60b9b99c3950457a6642fd7e52e7cf0364f04ba6cf3cde220f31fb47 manager: conda name: astroid optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/astroid-2.12.12-py39hcbf5309_1.tar.bz2 - version: 2.12.12 -- category: full - dependencies: - packaging: '' - python: '>=3.6' - setuptools: '' - six: '>=1.9.0' - webencodings: '' - hash: - md5: 1f5151d37e4a2b1137f81c89a3a769f2 - sha256: b85dd43a40efd13c860086365d181eb9bc64cc757c36a05edc7544c3fa622bf8 - manager: conda - name: bleach - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/bleach-5.0.1-pyhd8ed1ab_0.tar.bz2 - version: 5.0.1 + url: https://conda.anaconda.org/conda-forge/win-64/astroid-2.12.13-py39hcbf5309_0.conda + version: 2.12.13 - category: main dependencies: cffi: '>=1.0.0' @@ -11957,6 +11955,28 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/brotlipy-0.7.0-py39ha55989b_1005.tar.bz2 version: 0.7.0 +- category: full + dependencies: + fontconfig: '>=2.13.96,<3.0a0' + fonts-conda-ecosystem: '' + freetype: '>=2.12.1,<3.0a0' + icu: '>=70.1,<71.0a0' + libglib: '>=2.72.1,<3.0a0' + libpng: '>=1.6.38,<1.7.0a0' + libzlib: '>=1.2.12,<1.3.0a0' + pixman: '>=0.40.0,<1.0a0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + zlib: '>=1.2.12,<1.3.0a0' + hash: + md5: 91f08ed9ff25a969ddd06237454dae0d + sha256: 9f61fd45d0c9d27bd5e2bf4eeb3662d97691dc7d08b4007060776ce91f1a0d35 + manager: conda + name: cairo + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/cairo-1.16.0-hd694305_1014.tar.bz2 + version: 1.16.0 - category: full dependencies: click: '>=3.0' @@ -11983,41 +12003,24 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/cligj-0.7.2-pyhd8ed1ab_1.tar.bz2 version: 0.7.2 -- category: main - dependencies: - numpy: '>=1.16' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: df19b359ba763232c54277fc2fbe7a49 - sha256: 3ba1efe35a9b19628641affb6a6cd95a081b2c52e51935581401c936d3cc3394 - manager: conda - name: contourpy - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/contourpy-1.0.6-py39h1f6ef14_0.tar.bz2 - version: 1.0.6 - category: main dependencies: cffi: '>=1.12' - openssl: '>=3.0.5,<4.0a0' + openssl: '>=3.0.7,<4.0a0' python: '>=3.9,<3.10.0a0' python_abi: 3.9.* *_cp39 ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: bd83c2020c062db53a51665d732fc136 - sha256: be2df2f3c3184b6c10fabc7368d03f5c99b459e51529103bad3a6321d1f34b28 + md5: b578d1ccc2d34452cced2bbf5c4bbe38 + sha256: 8ed99568729be1d7f795bc16e5c9d7cc2eafb34a2177bccb5a9b7f753c3646b1 manager: conda name: cryptography optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/cryptography-38.0.2-py39hb6bd5e6_2.tar.bz2 - version: 38.0.2 + url: https://conda.anaconda.org/conda-forge/win-64/cryptography-38.0.4-py39hb6bd5e6_0.conda + version: 38.0.4 - category: main dependencies: cloudpickle: '>=1.1.1' @@ -12036,6 +12039,23 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2022.10.0-pyhd8ed1ab_2.tar.bz2 version: 2022.10.0 +- category: full + dependencies: + click: '>=8.0' + importlib-metadata: '>=3.6.0' + itsdangerous: '>=2.0' + jinja2: '>=3.0' + python: '>=3.7' + werkzeug: '>=2.2.2' + hash: + md5: 85fad4c7889dd969ed4c02cf63cfe9c5 + sha256: e047c40122dc3fd53c534924271e9635d3dbf5ba606ccd2bd7f7c70b63697037 + manager: conda + name: flask + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/flask-2.2.2-pyhd8ed1ab_0.tar.bz2 + version: 2.2.2 - category: main dependencies: brotli: '' @@ -12055,96 +12075,24 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/win-64/fonttools-4.38.0-py39ha55989b_1.tar.bz2 version: 4.38.0 -- category: main - dependencies: - cached-property: '' - hdf5: '>=1.12.2,<1.12.3.0a0' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: aa2c26de428302895eda22470d0f6cbb - sha256: e4d5e6c6e6b283918df7bd3b90280ab5873e56e5be3625dec410dde95d40d005 - manager: conda - name: h5py - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/h5py-3.7.0-nompi_py39hbc6f334_102.tar.bz2 - version: 3.7.0 - category: full dependencies: - blosc: '>=1.21.1,<2.0a0' - bzip2: '>=1.0.8,<2.0a0' - c-blosc2: '>=2.4.3,<3.0a0' - cfitsio: '>=4.1.0,<4.1.1.0a0' - charls: '>=2.3.4,<2.4.0a0' - giflib: '>=5.2.1,<5.3.0a0' jpeg: '>=9e,<10a' - jxrlib: '>=1.1,<1.2.0a0' - lcms2: '>=2.12,<3.0a0' - lerc: '>=4.0.0,<5.0a0' - libaec: '>=1.0.6,<2.0a0' - libavif: '>=0.11.1,<0.11.2.0a0' - libbrotlicommon: '>=1.0.9,<1.1.0a0' - libbrotlidec: '>=1.0.9,<1.1.0a0' - libbrotlienc: '>=1.0.9,<1.1.0a0' - libdeflate: '>=1.14,<1.15.0a0' - libpng: '>=1.6.38,<1.7.0a0' libtiff: '>=4.4.0,<5.0a0' - libwebp-base: '>=1.2.4,<2.0a0' - libzlib: '>=1.2.13,<1.3.0a0' - libzopfli: '>=1.0.3,<1.1.0a0' - lz4-c: '>=1.9.3,<1.10.0a0' - numpy: '>=1.20.3,<2.0a0' - openjpeg: '>=2.5.0,<3.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - snappy: '>=1.1.9,<2.0a0' - ucrt: '>=10.0.20348.0' + libzlib: '>=1.2.12,<1.3.0a0' + proj: '>=9.1.0,<9.1.1.0a0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' - xz: '>=5.2.6,<6.0a0' - zfp: '>=1.0.0,<2.0a0' - zstd: '>=1.5.2,<1.6.0a0' - hash: - md5: 5dd9113cbfa48345acb68698acd810db - sha256: ac2f27bb2da03fc299a603d84037490f9346140125a9c91e359888aec43c7fc0 - manager: conda - name: imagecodecs - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/imagecodecs-2022.9.26-py39h414dd1e_3.tar.bz2 - version: 2022.9.26 -- category: full - dependencies: - numpy: '' - pillow: '>=8.3.2' - python: '>=3' + zlib: '>=1.2.12,<1.3.0a0' hash: - md5: 9d10b00d27b54836d40759608d558276 - sha256: 0f949184ba2b939c05c817b043566c616ea49e373989859e6cc47fd7aa8ea6fa + md5: 411fd346ad4b588b4f36db902abef917 + sha256: 86ce91110c05c49468d29340247105159153329b3d817127c7a8bb427f1dacfd manager: conda - name: imageio + name: geotiff optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/imageio-2.22.0-pyhfa7a67d_0.tar.bz2 - version: 2.22.0 -- category: main - dependencies: - markupsafe: '>=2.0' - python: '>=3.7' - hash: - md5: c8490ed5c70966d232fdd389d0dbed37 - sha256: b045faba7130ab263db6a8fdc96b1a3de5fcf85c4a607c5f11a49e76851500b5 - manager: conda - name: jinja2 - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2 - version: 3.1.2 + url: https://conda.anaconda.org/conda-forge/win-64/geotiff-1.7.1-h4ffd875_4.tar.bz2 + version: 1.7.1 - category: full dependencies: attrs: '>=17.4.0' @@ -12155,29 +12103,33 @@ package: python: '>=3.7' typing_extensions: '' hash: - md5: f39774717a77d98673ea29d28a586a84 - sha256: ed3cb14323210e9b313cac99c545ea5bab53b3d545d2b7e5b3c359ee3ea8aa4e + md5: 723268a468177cd44568eb8f794e0d80 + sha256: 4f68a23430d1afc5c9b41c46fbac0ade33c0bf57a293c646bfdd6dc65350eada manager: conda name: jsonschema optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.16.0-pyhd8ed1ab_0.tar.bz2 - version: 4.16.0 + url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.17.3-pyhd8ed1ab_0.conda + version: 4.17.3 - category: full dependencies: - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - pywin32: '>=1.0' + entrypoints: '' + jupyter_core: '>=4.9.2' + nest-asyncio: '>=1.5.4' + python: '>=3.7' + python-dateutil: '>=2.8.2' + pyzmq: '>=23.0' + tornado: '>=6.0' traitlets: '' hash: - md5: efd194addd03d5f046c1d81d21c3acb8 - sha256: 734ab5477660efd52f979af17057871109ffdf31c898c42fcf07b558ae952bbf + md5: dad80938cdccc5c274e954dda56b6eb5 + sha256: 181b36306cf9f389785c63199a14df6154583b605c86ab6c81f36c2fe57b4c9b manager: conda - name: jupyter_core + name: jupyter_client optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/jupyter_core-4.11.1-py39hcbf5309_1.tar.bz2 - version: 4.11.1 + url: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-7.3.4-pyhd8ed1ab_0.tar.bz2 + version: 7.3.4 - category: full dependencies: pygments: '>=2.4.1,<3' @@ -12191,168 +12143,120 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.2.2-pyhd8ed1ab_0.tar.bz2 version: 0.2.2 -- category: main +- category: full dependencies: - llvmlite: '>=0.39.1,<0.40.0a0' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - setuptools: '' + hdf5: '>=1.12.2,<1.12.3.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 081f00bc3c4e0f7585dc3c9f759e5225 - sha256: dea978d2bc9aca2764a07e5fe2f49c90df27a37dcd41c505bb3515f9b5d27b1c - manager: conda - name: numba - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/numba-0.56.3-py39h99ae161_0.tar.bz2 - version: 0.56.3 -- category: main - dependencies: - entrypoints: '' - msgpack-python: '' - numpy: '>=1.7' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - typing-extensions: '>=3.7.4' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' - hash: - md5: 53e2c75d8450cd3483325d731cd4736e - sha256: eb89be57f4a2d2150eb4bd303faf0457d4112ae9046941e903bc39b8a0d682d1 + md5: 59e439387b2ca19699b8ce1f077ebe0a + sha256: 6b17e3de85f036bc0ae5a971798a81ab94b80f354b1acd17af2f0368905b5ffe manager: conda - name: numcodecs - optional: false + name: kealib + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/numcodecs-0.10.2-py39h415ef7b_0.tar.bz2 - version: 0.10.2 -- category: main + url: https://conda.anaconda.org/conda-forge/win-64/kealib-1.5.0-h61be68b_0.conda + version: 1.5.0 +- category: full dependencies: - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python-dateutil: '>=2.8.1' - python_abi: 3.9.* *_cp39 - pytz: '>=2020.1' + bzip2: '>=1.0.8,<2.0a0' + curl: '' + hdf4: '>=4.2.15,<4.2.16.0a0' + hdf5: '>=1.12.2,<1.12.3.0a0' + jpeg: '>=9e,<10a' + libxml2: '>=2.10.3,<2.11.0a0' + libzip: '>=1.9.2,<2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 35921d2e1972f74ebb00f593cd0023c2 - sha256: d64a5bb1d93c41a2e97a48b7635c83de42f846bb7a0f619eaf3469e54bf0d22c + md5: 90515eee0f7575b5fd296b6ba8d91dae + sha256: b4973b73e8b0b5c5c2c0715dce98a046faafb145e82f964132d8da9a614c0ca6 manager: conda - name: pandas - optional: false + name: libnetcdf + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pandas-1.5.1-py39h2ba5b7c_1.tar.bz2 - version: 1.5.1 + url: https://conda.anaconda.org/conda-forge/win-64/libnetcdf-4.8.1-nompi_h8c042bf_106.tar.bz2 + version: 4.8.1 - category: full dependencies: - boost-cpp: '>=1.78.0,<1.78.1.0a0' - cairo: '>=1.16.0,<2.0a0' - fontconfig: '>=2.14.0,<3.0a0' - fonts-conda-ecosystem: '' - freetype: '>=2.12.1,<3.0a0' - gettext: '>=0.21.1,<1.0a0' - jpeg: '>=9e,<10a' - lcms2: '>=2.12,<3.0a0' - libcurl: '>=7.85.0,<8.0a0' - libglib: '>=2.74.0,<3.0a0' - libiconv: '>=1.17,<2.0a0' - libpng: '>=1.6.38,<1.7.0a0' - libtiff: '>=4.4.0,<5.0a0' + freexl: '>=1.0.6,<2.0a0' + geos: '>=3.11.1,<3.11.2.0a0' + librttopo: '>=1.1.0,<1.2.0a0' + libsqlite: '>=3.39.4,<4.0a0' + libxml2: '>=2.10.3,<2.11.0a0' libzlib: '>=1.2.13,<1.3.0a0' - openjpeg: '>=2.5.0,<3.0a0' - poppler-data: '' + proj: '>=9.1.0,<9.1.1.0a0' + sqlite: '' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' + zlib: '' hash: - md5: e4ecf1fe1133eb28359c35c671df263f - sha256: 71d7ef00b0ed55b3d99ada71d10a70f123bfe870c85553db3d1b79f4bebb2b2d - manager: conda - name: poppler - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/poppler-22.10.0-ha6c1112_0.tar.bz2 - version: 22.10.0 -- category: dev - dependencies: - attrs: '>=19.2.0' - colorama: '' - exceptiongroup: '' - iniconfig: '' - packaging: '' - pluggy: '>=0.12,<2.0' - python: '>=3.8' - tomli: '>=1.0.0' - hash: - md5: ac82c7aebc282e6ac0450fca012ca78c - sha256: 854233dc2d0d64219b7e951ccf49c1f32332c6fc7085ecb62cc18bc1f4e791b0 + md5: 5a3076b2c06c63dff2c1e82ed57379dc + sha256: 469b67ed1c5b1cb0f93627e7081a0b0d6695f1b2c427a725e299467c89d7411c manager: conda - name: pytest + name: libspatialite optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytest-7.2.0-pyhd8ed1ab_2.tar.bz2 - version: 7.2.0 -- category: full + url: https://conda.anaconda.org/conda-forge/win-64/libspatialite-5.0.1-h07bf483_22.tar.bz2 + version: 5.0.1 +- category: main dependencies: - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + intel-openmp: '' + tbb: 2021.* hash: - md5: 515e5ca4c0cba90e7882821552b57c17 - sha256: 6d80993d0a829f32b0fda9fd78b2a01153108d113a748abc5cabf19d4d30ae76 + md5: 2ff89a7337a9636029b4db9466e9f8e3 + sha256: b130d13dba6a798cbcce8f19c52e9765b75b8668d2f8f95ba8210c63b6fa84eb manager: conda - name: pywavelets - optional: true + name: mkl + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pywavelets-1.3.0-py39hc266a54_2.tar.bz2 - version: 1.3.0 + url: https://conda.anaconda.org/conda-forge/win-64/mkl-2022.1.0-h6a75c08_874.tar.bz2 + version: 2022.1.0 - category: main dependencies: - libblas: '>=3.9.0,<4.0a0' - libcblas: '>=3.9.0,<4.0a0' - liblapack: '>=3.9.0,<4.0a0' - m2w64-gcc-libs: '' - numpy: '>=1.20.3,<2.0a0' + freetype: '>=2.12.1,<3.0a0' + jpeg: '>=9e,<10a' + lcms2: '>=2.12,<3.0a0' + libtiff: '>=4.4.0,<5.0a0' + libwebp-base: '>=1.2.4,<2.0a0' + libxcb: '>=1.13,<1.14.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + openjpeg: '>=2.5.0,<3.0a0' python: '>=3.9,<3.10.0a0' python_abi: 3.9.* *_cp39 + tk: '>=8.6.12,<8.7.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: 699244927b61625d48e998fca9bdf5b7 - sha256: 9d7c7675bc5283da1bfe2e8b435802360d71a9726574d2d73cc3231f1f7dad4a + md5: 2136fed21965598cd159e6df274e37f5 + sha256: 2920a4f91e7a2ce920c80a64558d5562df8782946c4fd786aa19dc0411535d33 manager: conda - name: scipy + name: pillow optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/scipy-1.9.3-py39hfbf2dce_1.tar.bz2 - version: 1.9.3 -- category: full + url: https://conda.anaconda.org/conda-forge/win-64/pillow-9.2.0-py39h595c93f_3.tar.bz2 + version: 9.2.0 +- category: dev dependencies: - geos: '>=3.11.0,<3.11.1.0a0' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' + coverage: '>=5.2.1' + pytest: '>=4.6' + python: '>=3.6' + setuptools: '' + toml: '' hash: - md5: 4e825ee403b33df041996f4fbd6b7041 - sha256: e407eca0b61adee1480aad655ce917795885252d0cf8968200cddc0c66cd31e5 + md5: 0f7cac11bb696b62d378bde725bfc3eb + sha256: c5feac67a828f10bfa7d5e80b12e0a7c8e3b7b4886ad682aa783bc63f62477ba manager: conda - name: shapely + name: pytest-cov optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/shapely-1.8.5-py39h6f18ba6_1.tar.bz2 - version: 1.8.5 + url: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-3.0.0-pyhd8ed1ab_0.tar.bz2 + version: 3.0.0 - category: full dependencies: asttokens: '' @@ -12360,42 +12264,35 @@ package: pure_eval: '' python: '>=3.5' hash: - md5: d62578a476321e761628bb3c428f07f9 - sha256: da0432671a463f59b1a644da103c586ebe690236d9a7716a9e10b1bd42b5456c + md5: e7df0fdd404616638df5ece6e69ba7af + sha256: a58433e75229bec39f3be50c02efbe9b7083e53a1f31d8ee247564f370191eec manager: conda name: stack_data optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.0-pyhd8ed1ab_0.tar.bz2 - version: 0.6.0 + url: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda + version: 0.6.2 - category: full dependencies: - __win: '' - python: '>=3.7' - pywinpty: '>=1.1.0' - tornado: '>=6.1.0' + bzip2: '>=1.0.8,<2.0a0' + curl: '' + libzlib: '>=1.2.13,<1.3.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' + openssl: '>=3.0.7,<4.0a0' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + zlib: '' + zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 0152a609d5748ed9887d195b1e61a6c9 - sha256: 5c8fcf31430e0f312bc65ab5aa5b893fcc250820c023b02ff3fd188ae13199a5 + md5: accf5a38476be82bea4565ee1fe15efa + sha256: e1f933035956b37fa6c874a09b68d8dc8022fa7caf49b95321b2393d5314625e manager: conda - name: terminado + name: tiledb optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.0-pyh08f2357_0.tar.bz2 - version: 0.17.0 -- category: main - dependencies: - numpy: '>=1.7' - python: '' - hash: - md5: 7a6395b244b183e9e55e606e3d68e83b - sha256: 891620c6e65716efa84832458ff972037faf31a2009421ad120807dedd360402 - manager: conda - name: vectormath - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/vectormath-0.2.2-py_0.tar.bz2 - version: 0.2.2 + url: https://conda.anaconda.org/conda-forge/win-64/tiledb-2.13.0-h3132609_0.conda + version: 2.13.0 - category: full dependencies: backports.functools_lru_cache: '' @@ -12409,19 +12306,6 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.5-pyh9f0ad1d_2.tar.bz2 version: 0.2.5 -- category: full - dependencies: - markupsafe: '>=2.1.1' - python: '>=3.7' - hash: - md5: 8e69568592e552919201f730b01a58c2 - sha256: 3bb3d6a98f9e3c6081166d81368e4a0e48fdbfe19e683a957ac344b063c42412 - manager: conda - name: werkzeug - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/werkzeug-2.2.2-pyhd8ed1ab_0.tar.bz2 - version: 2.2.2 - category: full dependencies: argon2-cffi-bindings: '' @@ -12436,212 +12320,95 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-21.3.0-pyhd8ed1ab_0.tar.bz2 version: 21.3.0 -- category: main +- category: full dependencies: - numpy: '>=1.19.5,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - scipy: '>=0.13' - vc: '>=14.1,<15' - vs2015_runtime: '>=14.16.27033' + brotli-python: '' + flask: '' + python: '>=2.7|>=3.6' hash: - md5: 4e899b73be229523f8a916d80843e2f2 - sha256: 7b73503c2adbfadea3857ea26fcf2d5f22af825e9a4a6b9824b18c96974a6132 + md5: 19a84270d30c5a0dd10780e3d510e33d + sha256: 75d326f0b12aef8f35080f5a5e2ef26066afcb60e3da765a9a5f4349572acd3b manager: conda - name: discretize - optional: false + name: flask-compress + optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/discretize-0.7.4-py39hefe7e4c_0.tar.bz2 - version: 0.7.4 + url: https://conda.anaconda.org/conda-forge/noarch/flask-compress-1.13-pyhd8ed1ab_0.tar.bz2 + version: '1.13' - category: main dependencies: - numba: '>=0.47' - python: '>=3.7' - scipy: '>=1.4.0' + mkl: 2022.1.0 h6a75c08_874 hash: - md5: df7965121f7c2d03a9f444e5307a6550 - sha256: d01a52b5aa35962f6d160be459a4c2859079a0212b518ccaeaa2bc4a69a9568c + md5: d2e6f4e86cee2b4e8c27ff6884ccdc61 + sha256: 0825e98108590b83f91177a6f31e4815441b2f70c67d29df36f11039c23b947a manager: conda - name: empymod + name: libblas optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/empymod-2.2.1-pyhd8ed1ab_0.tar.bz2 - version: 2.2.1 + url: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-16_win64_mkl.tar.bz2 + version: 3.9.0 - category: full dependencies: - click: '>=8.0' - importlib-metadata: '>=3.6.0' - itsdangerous: '>=2.0' - jinja2: '>=3.0' + importlib-metadata: '>=3.6' + jsonschema: '>=2.6' + jupyter_core: '' python: '>=3.7' - werkzeug: '>=2.2.2' + python-fastjsonschema: '' + traitlets: '>=5.1' hash: - md5: 85fad4c7889dd969ed4c02cf63cfe9c5 - sha256: e047c40122dc3fd53c534924271e9635d3dbf5ba606ccd2bd7f7c70b63697037 + md5: f8439ce65664bec6d348346590ed57f0 + sha256: 7e7442fbbd721d5be49d1632957b06939b8e6618ae07cbcc4b6d0e07d044f55c manager: conda - name: flask + name: nbformat optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/flask-2.2.2-pyhd8ed1ab_0.tar.bz2 - version: 2.2.2 + url: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.7.0-pyhd8ed1ab_0.tar.bz2 + version: 5.7.0 - category: full dependencies: - entrypoints: '' - jupyter_core: '>=4.9.2' - nest-asyncio: '>=1.5.4' - python: '>=3.7' - python-dateutil: '>=2.8.2' - pyzmq: '>=23.0' - tornado: '>=6.0' - traitlets: '' - hash: - md5: dad80938cdccc5c274e954dda56b6eb5 - sha256: 181b36306cf9f389785c63199a14df6154583b605c86ab6c81f36c2fe57b4c9b - manager: conda - name: jupyter_client - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-7.3.4-pyhd8ed1ab_0.tar.bz2 - version: 7.3.4 -- category: full - dependencies: - blosc: '>=1.21.1,<2.0a0' - cfitsio: '>=4.1.0,<4.1.1.0a0' - expat: '>=2.5.0,<3.0a0' - freexl: '>=1.0.6,<2.0a0' - geos: '>=3.11.0,<3.11.1.0a0' - geotiff: '>=1.7.1,<1.8.0a0' - hdf4: '>=4.2.15,<4.2.16.0a0' - hdf5: '>=1.12.2,<1.12.3.0a0' - icu: '>=70.1,<71.0a0' + boost-cpp: '>=1.78.0,<1.78.1.0a0' + cairo: '>=1.16.0,<2.0a0' + fontconfig: '>=2.14.1,<3.0a0' + fonts-conda-ecosystem: '' + freetype: '>=2.12.1,<3.0a0' + gettext: '>=0.21.1,<1.0a0' jpeg: '>=9e,<10a' - kealib: '>=1.4.15,<1.5.0a0' - libkml: '>=1.3.0,<1.4.0a0' - libnetcdf: '>=4.8.1,<4.8.2.0a0' - libpng: '>=1.6.38,<1.7.0a0' - libpq: '>=14.5,<15.0a0' - libspatialite: '>=5.0.1,<5.1.0a0' - libsqlite: '>=3.39.4,<4.0a0' + lcms2: '>=2.14,<3.0a0' + libcurl: '>=7.86.0,<8.0a0' + libglib: '>=2.74.1,<3.0a0' + libiconv: '>=1.17,<2.0a0' + libpng: '>=1.6.39,<1.7.0a0' libtiff: '>=4.4.0,<5.0a0' - libwebp-base: '>=1.2.4,<2.0a0' - libxml2: '>=2.10.3,<2.11.0a0' libzlib: '>=1.2.13,<1.3.0a0' openjpeg: '>=2.5.0,<3.0a0' - openssl: '>=3.0.5,<4.0a0' - pcre: '>=8.45,<9.0a0' - poppler: '>=22.10.0,<22.11.0a0' - postgresql: '' - proj: '>=9.1.0,<9.1.1.0a0' - tiledb: '>=2.11.3,<2.12.0a0' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - xerces-c: '>=3.2.4,<3.3.0a0' - xz: '>=5.2.6,<6.0a0' - zstd: '>=1.5.2,<1.6.0a0' - hash: - md5: 6b9a832784b965e71a82a60311cc7147 - sha256: 25f4e4e74ea1d368ac16c036193c5f4b3a8572c2fefcdfac65cc0e93d2301eab - manager: conda - name: libgdal - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/libgdal-3.5.3-h283e77c_0.tar.bz2 - version: 3.5.3 -- category: main - dependencies: - certifi: '>=2020.06.20' - contourpy: '>=1.0.1' - cycler: '>=0.10' - fonttools: '>=4.22.0' - freetype: '>=2.12.1,<3.0a0' - kiwisolver: '>=1.0.1' - numpy: '>=1.20.3,<2.0a0' - packaging: '>=20.0' - pillow: '>=6.2.0' - pyparsing: '>=2.2.1' - python: '>=3.9,<3.10.0a0' - python-dateutil: '>=2.7' - python_abi: 3.9.* *_cp39 + poppler-data: '' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: ed54e8c6922d24566ba70e3307383a43 - sha256: a425905b6a6d4984146a6e9d18f83c41a18f6f5278be082bd1738bb1ec6f46ee - manager: conda - name: matplotlib-base - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.6.1-py39haf65ace_1.tar.bz2 - version: 3.6.1 -- category: full - dependencies: - importlib-metadata: '>=3.6' - jsonschema: '>=2.6' - jupyter_core: '' - python: '>=3.7' - python-fastjsonschema: '' - traitlets: '>=5.1' - hash: - md5: f8439ce65664bec6d348346590ed57f0 - sha256: 7e7442fbbd721d5be49d1632957b06939b8e6618ae07cbcc4b6d0e07d044f55c + md5: 2525c54ec216b35a5ad4595c81b73864 + sha256: 62c3087eb6a8a44fd49450533b89c531b7d5509a4326a70680121ff76dcf79dc manager: conda - name: nbformat + name: poppler optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.7.0-pyhd8ed1ab_0.tar.bz2 - version: 5.7.0 + url: https://conda.anaconda.org/conda-forge/win-64/poppler-22.12.0-ha6c1112_0.conda + version: 22.12.0 - category: full dependencies: python: '>=3.6' wcwidth: '' hash: - md5: 94fee21afe199936bc361608e537cd11 - sha256: 4fadebeef8ff5441e7181cee7b580c69362b3226e41b77ae753226c11b2895bb + md5: 4d79ec192e0bfd530a254006d123b9a6 + sha256: 6bd3626799c9467d7aa8ed5f95043e4cea614a1329580980ddcf40cfed3ee860 manager: conda name: prompt-toolkit optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.31-pyha770c72_0.tar.bz2 - version: 3.0.31 -- category: main - dependencies: - numpy: '>=1.7' - python: '' - six: '' - vectormath: '>=0.1.4' - hash: - md5: 62052fa8409d12536ff149e25b0e9905 - sha256: 693596b821b28f8d9710e80a143816e55fc401b8cd2f0b0d777f5155bd3358f2 - manager: conda - name: properties - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/properties-0.6.1-py_0.tar.bz2 - version: 0.6.1 -- category: main - dependencies: - mkl: '>=2022.1.0,<2023.0a0' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - scipy: '>=0.13' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: d33169c9110fd4e697b92fb3373df4bd - sha256: f293370dcb860a3643c6348cef18206d3b9667238ec2f9a2e968961477b32797 - manager: conda - name: pydiso - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/pydiso-0.0.3-py39h9be9993_4.tar.bz2 - version: 0.0.3 + url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.36-pyha770c72_0.conda + version: 3.0.36 - category: dev dependencies: - astroid: '>=2.12.12,<2.14.0-dev0' + astroid: '>=2.12.13,<2.14.0-dev0' colorama: '>=0.4.5' dill: '>=0.2' isort: '>=4.2.5,<6' @@ -12652,14 +12419,14 @@ package: tomlkit: '>=0.10.1' typing_extensions: '>=3.10.0' hash: - md5: 20a795c6e8abea62d460bae344df462b - sha256: f9b6f6daf05c28d241ba327e8999bac327a1e7f0bc8bd115e45abcb71901bee5 + md5: 26a62404bbfc93452c4d22aa2cda6f08 + sha256: 852e6a99ec31358324943ade205b0320ca25ba2d594ba215b3e34dee3f16fcae manager: conda name: pylint optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/pylint-2.15.5-pyhd8ed1ab_0.tar.bz2 - version: 2.15.5 + url: https://conda.anaconda.org/conda-forge/noarch/pylint-2.15.8-pyhd8ed1ab_0.conda + version: 2.15.8 - category: main dependencies: cryptography: '>=38.0.0,<39' @@ -12673,208 +12440,137 @@ package: platform: win-64 url: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-22.1.0-pyhd8ed1ab_0.tar.bz2 version: 22.1.0 -- category: dev +- category: full dependencies: - coverage: '>=5.2.1' - pytest: '>=4.6' + flask: '>=1.0.4' + flask-compress: '' + plotly: '>=5.0.0' python: '>=3.6' setuptools: '' - toml: '' hash: - md5: 0f7cac11bb696b62d378bde725bfc3eb - sha256: c5feac67a828f10bfa7d5e80b12e0a7c8e3b7b4886ad682aa783bc63f62477ba + md5: a610529f1cc80da3ffda41228bc9d2c5 + sha256: 93d759dd4c218271712a0f7d40be57ed32766fde472b3b13469a215671b14178 manager: conda - name: pytest-cov + name: dash optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-3.0.0-pyhd8ed1ab_0.tar.bz2 - version: 3.0.0 -- category: main - dependencies: - joblib: '>=1.0.0' - libcblas: '>=3.9.0,<4.0a0' - numpy: '>=1.20.3,<2.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - scipy: '' - threadpoolctl: '>=2.0.0' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: aa46378fd608a447b0c23a9ce88bd812 - sha256: a9cb13b49903303f4b59a27c71741ac33985bd5382f636852649ce7eab9c12de - manager: conda - name: scikit-learn - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.1.3-py39h6fe01c0_1.tar.bz2 - version: 1.1.3 + url: https://conda.anaconda.org/conda-forge/noarch/dash-2.7.1-pyhd8ed1ab_0.conda + version: 2.7.1 - category: full dependencies: - imagecodecs: '>=2021.11.20' - numpy: '>=1.19.2' + __win: '' + _ipython_minor_entry_point: 8.7.0.* + backcall: '' + colorama: '' + decorator: '' + jedi: '>=0.16' + matplotlib-inline: '' + pickleshare: '' + prompt-toolkit: '>=3.0.11,<3.1.0' + pygments: '>=2.4.0' python: '>=3.8' + stack_data: '' + traitlets: '>=5' hash: - md5: 1c126ff5b4643785bbc16e44e6327e41 - sha256: 85153fe85b205e01f62fcfddcc47c2c6a8cb6062d4e0e73e0a0a71f01a984f33 + md5: d848fc38b9f250d8f6db50ac2b415539 + sha256: cf8d7e1d119d9893c94032cc3218c8d05ef725b360729a2953515f66b7c2ca00 manager: conda - name: tifffile + name: ipython optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2022.10.10-pyhd8ed1ab_0.tar.bz2 - version: 2022.10.10 + url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.7.0-pyh08f2357_0.conda + version: 8.7.0 - category: main dependencies: - asciitree: '' - fasteners: '' - numcodecs: '>=0.10.0' - numpy: '>=1.7' - python: '>=3.5' + libblas: 3.9.0 16_win64_mkl hash: - md5: 7e212240cf03e35a6b3201010a1a1e12 - sha256: 522e72b5f4f1d49d73bdd7fc92a4e51efe86910460577646f553905969d11550 + md5: 14c2fb03b2bb14dfa3806186ca91d557 + sha256: 4ca91d4ff2ef409d2426c5aa5f451410bd817c0ad7410f3a95d62ddc13e2d1f1 manager: conda - name: zarr + name: libcblas optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/zarr-2.13.3-pyhd8ed1ab_0.tar.bz2 - version: 2.13.3 -- category: full - dependencies: - brotli-python: '' - flask: '' - python: '>=2.7|>=3.6' - hash: - md5: 19a84270d30c5a0dd10780e3d510e33d - sha256: 75d326f0b12aef8f35080f5a5e2ef26066afcb60e3da765a9a5f4349572acd3b - manager: conda - name: flask-compress - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/flask-compress-1.13-pyhd8ed1ab_0.tar.bz2 - version: '1.13' + url: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-16_win64_mkl.tar.bz2 + version: 3.9.0 - category: full dependencies: + blosc: '>=1.21.2,<2.0a0' + cfitsio: '>=4.2.0,<4.2.1.0a0' + expat: '>=2.5.0,<3.0a0' + freexl: '>=1.0.6,<2.0a0' + geos: '>=3.11.1,<3.11.2.0a0' + geotiff: '>=1.7.1,<1.8.0a0' + hdf4: '>=4.2.15,<4.2.16.0a0' hdf5: '>=1.12.2,<1.12.3.0a0' - libgdal: 3.5.3 h283e77c_0 - numpy: '>=1.20.3,<2.0a0' - openssl: '>=3.0.5,<4.0a0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 + icu: '>=70.1,<71.0a0' + jpeg: '>=9e,<10a' + kealib: '>=1.5.0,<1.6.0a0' + lerc: '>=4.0.0,<5.0a0' + libcurl: '>=7.86.0,<8.0a0' + libdeflate: '>=1.14,<1.15.0a0' + libiconv: '>=1.17,<2.0a0' + libkml: '>=1.3.0,<1.4.0a0' + libnetcdf: '>=4.8.1,<4.8.2.0a0' + libpng: '>=1.6.39,<1.7.0a0' + libpq: '>=15.1,<16.0a0' + libspatialite: '>=5.0.1,<5.1.0a0' + libsqlite: '>=3.40.0,<4.0a0' + libtiff: '>=4.4.0,<5.0a0' + libwebp-base: '>=1.2.4,<2.0a0' + libxml2: '>=2.10.3,<2.11.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' + openjpeg: '>=2.5.0,<3.0a0' + openssl: '>=3.0.7,<4.0a0' + pcre2: '>=10.40,<10.41.0a0' + poppler: '>=22.12.0,<22.13.0a0' + postgresql: '' + proj: '>=9.1.0,<9.1.1.0a0' + qhull: '>=2020.2,<2020.3.0a0' + tiledb: '>=2.13.0,<2.14.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' + xerces-c: '>=3.2.4,<3.3.0a0' + xz: '>=5.2.6,<6.0a0' + zstd: '>=1.5.2,<1.6.0a0' hash: - md5: 0163e7ad80d393eba0f217beec0cf4d2 - sha256: 78c5fd58fc626a56cb8d5672b2270d6ac483e29090fad9078babb1d6dc39169b + md5: 160d0a1d1887c2d4258aeec674a0e86e + sha256: e1b5337a284e351cd21d9a7a827c5b01f2cec5f8e79b679ef8a05f4fed340e1f manager: conda - name: gdal + name: libgdal optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/gdal-3.5.3-py39h3be0312_0.tar.bz2 - version: 3.5.3 + url: https://conda.anaconda.org/conda-forge/win-64/libgdal-3.6.0-hefe12b1_14.conda + version: 3.6.0 - category: main dependencies: - future: '' - matplotlib-base: '' - numpy: '>=1.7' - properties: '' - python: '' - scipy: '>=0.13' - utm: '' - vectormath: '' + libblas: 3.9.0 16_win64_mkl hash: - md5: 940c153c790eec5801d26ad7115d69bf - sha256: 6ef4cb86ab786166d39b6a55f2b5b9027f298d4aa7ba676d587b31cf80053ae5 + md5: be2f9d5712a5bb05cd900005ee752a05 + sha256: cb10f543120e277e44c342f65bcec2bd27f4bd206f5ea9332efd91e4551e5bac manager: conda - name: geoana + name: liblapack optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/geoana-0.0.6-py_1.tar.bz2 - version: 0.0.6 + url: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-16_win64_mkl.tar.bz2 + version: 3.9.0 - category: full dependencies: - __win: '' - backcall: '' - colorama: '' - decorator: '' - jedi: '>=0.16' - matplotlib-inline: '' - pickleshare: '' - prompt-toolkit: '>3.0.1,<3.1.0' - pygments: '>=2.4.0' - python: '>=3.8' - stack_data: '' - traitlets: '>=5' - hash: - md5: 2841523ef1ea32772de957e803c76d8b - sha256: 0fd4399523ca92a32d26825184a5876c15e6825862268711bff8c0399c76f82e - manager: conda - name: ipython - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.6.0-pyh08f2357_1.tar.bz2 - version: 8.6.0 -- category: full - dependencies: - jupyter_client: '>=6.1.5' - nbformat: '>=5.0' - nest-asyncio: '' + jupyter_client: '>=6.1.12' + jupyter_core: '>=4.12,!=5.0.*' + nbformat: '>=5.1' python: '>=3.7' - traitlets: '>=5.2.2' + traitlets: '>=5.3' hash: - md5: 87eed34d791330d8acdab6a8ab63113f - sha256: ef28a3c4e3a218ae48b1e7a24ec7a8bb4f6da0096135d1155a5a5cc71393aaf4 + md5: 6c7b0d75b66a220274bb5a28c23197f2 + sha256: 400cba87afda16d91c4fab133ed72b37ab0aa6592de61d4d5dd29dc026832a4f manager: conda name: nbclient optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.0-pyhd8ed1ab_0.tar.bz2 - version: 0.7.0 -- category: main - dependencies: - numpy: '' - pydiso: '' - python: '>=3.6' - scipy: '' - hash: - md5: d824e3266c690c6b8c662cf19fa62b3f - sha256: e1d39044c41541a09ba846c51c2ba315858622dfb4e7eaebcb0823316159fab8 - manager: conda - name: pymatsolver - optional: false - platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/pymatsolver-0.2.0-pyhd8ed1ab_0.tar.bz2 - version: 0.2.0 -- category: full - dependencies: - cloudpickle: '>=0.2.1' - cytoolz: '>=0.7.3' - dask-core: '>=1.0.0,!=2.17.0' - imageio: '>=2.3.0' - networkx: '>=2.2' - numpy: '>=1.20.3,<2.0a0' - packaging: '>=20.0' - pillow: '>=6.1.0,!=7.1.0,!=7.1.1,!=8.3.0' - python: '>=3.9,<3.10.0a0' - python_abi: 3.9.* *_cp39 - pywavelets: '>=1.1.1' - scipy: '>=1.4.1' - tifffile: '>=2019.7.26' - toolz: '>=0.7.3' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vs2015_runtime: '>=14.29.30139' - hash: - md5: 95af5e59b69d4df686989cd3662a2172 - sha256: 8cc7161db95db3768c36d69a7a347e64afbec82fd4dbc38e56bd6b65438ea69b - manager: conda - name: scikit-image - optional: true - platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/scikit-image-0.19.3-py39h2ba5b7c_2.tar.bz2 - version: 0.19.3 + url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.2-pyhd8ed1ab_0.conda + version: 0.7.2 - category: main dependencies: brotlipy: '>=0.6.0' @@ -12885,30 +12581,27 @@ package: pysocks: '>=1.5.6,<2.0,!=1.5.7' python: <4.0 hash: - md5: 0738978569b10669bdef41c671252dd1 - sha256: 57a823b83428156aa2bc18f34159a744657c9bd117a125ca4559b0518a2e4fa2 + md5: 3078ef2359efd6ecadbc7e085c5e0592 + sha256: 992f2d6ca50c98f865a4f2e4bada23f950e39f33ff7c64614a31ee152ec4d5ae manager: conda name: urllib3 optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.11-pyhd8ed1ab_0.tar.bz2 - version: 1.26.11 + url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.13-pyhd8ed1ab_0.conda + version: 1.26.13 - category: full dependencies: - flask: '>=1.0.4' - flask-compress: '' - plotly: '>=5.0.0' - python: '>=3.6' - setuptools: '' + dash: '>=1.6.1' + python: '' hash: - md5: 08473f0b4d35533dec6cf77149dcecbc - sha256: 3bb47d32349addf8be7f939700b9b4c1d1548a794389dd3b1217a0003a9f15a1 + md5: ebd54a61606fa8a191932cb72e448418 + sha256: 5e99ab8b5cac15e5d6986a90566a335c21b2849838a6e877bec79efa2e7e346f manager: conda - name: dash + name: dash-daq optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/dash-2.6.2-pyhd8ed1ab_0.tar.bz2 - version: 2.6.2 + url: https://conda.anaconda.org/conda-forge/noarch/dash-daq-0.5.0-pyh9f0ad1d_1.tar.bz2 + version: 0.5.0 - category: main dependencies: click: '>=6.6' @@ -12935,8 +12628,427 @@ package: name: distributed optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/distributed-2022.10.0-pyhd8ed1ab_2.tar.bz2 - version: 2022.10.0 + url: https://conda.anaconda.org/conda-forge/noarch/distributed-2022.10.0-pyhd8ed1ab_2.tar.bz2 + version: 2022.10.0 +- category: full + dependencies: + __win: '' + comm: '>=0.1' + debugpy: '>=1.0' + ipython: '>=7.23.1' + jupyter_client: '>=6.1.12' + matplotlib-inline: '>=0.1' + nest-asyncio: '' + packaging: '' + psutil: '' + python: '>=3.8' + pyzmq: '>=17' + tornado: '>=6.1' + traitlets: '>=5.1.0' + hash: + md5: 37bf29d59d4bdce159f916500bdafb83 + sha256: 75b1f2dce81f56f15173b13aafe771d7cb80c96f8cf042e29d49da751a2cdf7e + manager: conda + name: ipykernel + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.19.2-pyh025b116_0.conda + version: 6.19.2 +- category: full + dependencies: + beautifulsoup4: '' + bleach: '' + defusedxml: '' + entrypoints: '>=0.2.2' + jinja2: '>=3.0' + jupyter_core: '>=4.7' + jupyterlab_pygments: '' + markupsafe: '>=2.0' + mistune: '>=2.0.3,<3' + nbclient: '>=0.5.0' + nbformat: '>=5.1' + packaging: '' + pandocfilters: '>=1.4.1' + pygments: '>=2.4.1' + python: '>=3.7' + tinycss2: '' + traitlets: '>=5.0' + hash: + md5: d222e8861fa78999b66ae7fa14710c1c + sha256: b40fdc7bacaff6b926af36e622654850ebd8e03786c62a1a38a38fd42a51d60a + manager: conda + name: nbconvert-core + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 +- category: main + dependencies: + libblas: '>=3.9.0,<4.0a0' + libcblas: '>=3.9.0,<4.0a0' + liblapack: '>=3.9.0,<4.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 2de785b8afd83444f5ebc60161689c0d + sha256: 57ab332114438bf567a46b6befdf3a99dde1c3606121fb99b99fe53750380cca + manager: conda + name: numpy + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/numpy-1.23.5-py39hbccbffa_0.conda + version: 1.23.5 +- category: dev + dependencies: + certifi: '>=2017.4.17' + charset-normalizer: '>=2,<3' + idna: '>=2.5,<4' + python: '>=3.7,<4.0' + urllib3: '>=1.21.1,<1.27' + hash: + md5: 089382ee0e2dc2eae33a04cc3c2bddb0 + sha256: b45d0da6774c8231ab4fef0427b3050e7c54c84dfe453143dd4010999c89e050 + manager: conda + name: requests + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/requests-2.28.1-pyhd8ed1ab_1.tar.bz2 + version: 2.28.1 +- category: main + dependencies: + numpy: '>=1.16' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: df19b359ba763232c54277fc2fbe7a49 + sha256: 3ba1efe35a9b19628641affb6a6cd95a081b2c52e51935581401c936d3cc3394 + manager: conda + name: contourpy + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/contourpy-1.0.6-py39h1f6ef14_0.tar.bz2 + version: 1.0.6 +- category: full + dependencies: + hdf5: '>=1.12.2,<1.12.3.0a0' + libgdal: 3.6.0 hefe12b1_14 + numpy: '>=1.20.3,<2.0a0' + openssl: '>=3.0.7,<4.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: fad6620d3d433d76e8abaa8f8a166fd9 + sha256: 5d4201604e2b6f2a58a4fa155072c1d0ca737619dc698b4207378ec2c6c198a8 + manager: conda + name: gdal + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/gdal-3.6.0-py39h3be0312_14.conda + version: 3.6.0 +- category: main + dependencies: + cached-property: '' + hdf5: '>=1.12.2,<1.12.3.0a0' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: aa2c26de428302895eda22470d0f6cbb + sha256: e4d5e6c6e6b283918df7bd3b90280ab5873e56e5be3625dec410dde95d40d005 + manager: conda + name: h5py + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/h5py-3.7.0-nompi_py39hbc6f334_102.tar.bz2 + version: 3.7.0 +- category: full + dependencies: + blosc: '>=1.21.1,<2.0a0' + bzip2: '>=1.0.8,<2.0a0' + c-blosc2: '>=2.4.3,<3.0a0' + cfitsio: '>=4.2.0,<4.2.1.0a0' + charls: '>=2.3.4,<2.4.0a0' + giflib: '>=5.2.1,<5.3.0a0' + jpeg: '>=9e,<10a' + jxrlib: '>=1.1,<1.2.0a0' + lcms2: '>=2.14,<3.0a0' + lerc: '>=4.0.0,<5.0a0' + libaec: '>=1.0.6,<2.0a0' + libavif: '>=0.11.1,<0.11.2.0a0' + libbrotlicommon: '>=1.0.9,<1.1.0a0' + libbrotlidec: '>=1.0.9,<1.1.0a0' + libbrotlienc: '>=1.0.9,<1.1.0a0' + libdeflate: '>=1.14,<1.15.0a0' + libpng: '>=1.6.38,<1.7.0a0' + libtiff: '>=4.4.0,<5.0a0' + libwebp-base: '>=1.2.4,<2.0a0' + libzlib: '>=1.2.13,<1.3.0a0' + libzopfli: '>=1.0.3,<1.1.0a0' + lz4-c: '>=1.9.3,<1.10.0a0' + numpy: '>=1.20.3,<2.0a0' + openjpeg: '>=2.5.0,<3.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + snappy: '>=1.1.9,<2.0a0' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + xz: '>=5.2.6,<6.0a0' + zfp: '>=1.0.0,<2.0a0' + zstd: '>=1.5.2,<1.6.0a0' + hash: + md5: dfafbdfeb17b88ba43ffbb98ab47f933 + sha256: afd3b7602752beb3e485da979345ba84baa5a83331b2bfd1aa67e1dc73ca7392 + manager: conda + name: imagecodecs + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/imagecodecs-2022.9.26-py39haf5b5c4_4.conda + version: 2022.9.26 +- category: full + dependencies: + numpy: '' + pillow: '>=8.3.2' + python: '>=3' + hash: + md5: 4fef7788eaed184136c627a8c5feced6 + sha256: c1a49325a3208a875bc5d2ab2d866c820a60a0c6561c4efe796ad78e10085123 + manager: conda + name: imageio + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/imageio-2.22.4-pyhfa7a67d_1.conda + version: 2.22.4 +- category: full + dependencies: + ansi2html: '' + dash: '' + flask: '' + ipykernel: '' + ipython: '' + nest-asyncio: '' + python: '>=3.5' + requests: '' + retrying: '' + hash: + md5: 9c77330b235666f244a7b8dcc7c0955a + sha256: 1b664f4776f45c897bb783fbfae19c400d58b1e68bdd1942da2c95a4e7f50091 + manager: conda + name: jupyter-dash + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/jupyter-dash-0.4.2-pyhd8ed1ab_1.tar.bz2 + version: 0.4.2 +- category: full + dependencies: + anyio: '>=3.1.0' + argon2-cffi: '' + jinja2: '' + jupyter_client: '>=6.1.12' + jupyter_core: '>=4.7.0' + nbconvert-core: '>=6.4.4' + nbformat: '>=5.2.0' + packaging: '' + prometheus_client: '' + python: '>=3.7' + pyzmq: '>=17' + send2trash: '' + terminado: '>=0.8.3' + tornado: '>=6.1.0' + traitlets: '>=5.1.0' + websocket-client: '' + hash: + md5: c497ada2dbcb07e6912756f4ea709f65 + sha256: 125d721aa32f00c33078e8b5e0d76b5333e65afccd5631970e57eaadb9ab8858 + manager: conda + name: jupyter_server + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.23.3-pyhd8ed1ab_0.conda + version: 1.23.3 +- category: full + dependencies: + nbconvert-core: 7.2.6 pyhd8ed1ab_0 + pandoc: '' + python: '>=3.7' + hash: + md5: c75ece5b10744eb2db7e9faaa02e25eb + sha256: 51a768efc97c48b2d768a53d2c100253d04446d4feff037dd95bb5e37c778a86 + manager: conda + name: nbconvert-pandoc + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 +- category: main + dependencies: + llvmlite: '>=0.39.1,<0.40.0a0' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + setuptools: '' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 9a02de677aa910840b980ae5e2d4cc9a + sha256: 0cdb6e5b1ae60665dde323f0736346e5e656643966e237e7af0805216ec4db63 + manager: conda + name: numba + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/numba-0.56.4-py39h99ae161_0.conda + version: 0.56.4 +- category: main + dependencies: + entrypoints: '' + msgpack-python: '' + numpy: '>=1.7' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + typing-extensions: '>=3.7.4' + vc: '>=14.1,<15' + vs2015_runtime: '>=14.16.27033' + hash: + md5: 53e2c75d8450cd3483325d731cd4736e + sha256: eb89be57f4a2d2150eb4bd303faf0457d4112ae9046941e903bc39b8a0d682d1 + manager: conda + name: numcodecs + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/numcodecs-0.10.2-py39h415ef7b_0.tar.bz2 + version: 0.10.2 +- category: main + dependencies: + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python-dateutil: '>=2.8.1' + python_abi: 3.9.* *_cp39 + pytz: '>=2020.1' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 55e2ed03505b8e2df8d94f509add6b0f + sha256: bd9b7530f86198fff8016ec44fbb89d8101a0651ea0d377cb5caa1b5598cb2b1 + manager: conda + name: pandas + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/pandas-1.5.2-py39h2ba5b7c_0.conda + version: 1.5.2 +- category: full + dependencies: + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 515e5ca4c0cba90e7882821552b57c17 + sha256: 6d80993d0a829f32b0fda9fd78b2a01153108d113a748abc5cabf19d4d30ae76 + manager: conda + name: pywavelets + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/pywavelets-1.3.0-py39hc266a54_2.tar.bz2 + version: 1.3.0 +- category: main + dependencies: + libblas: '>=3.9.0,<4.0a0' + libcblas: '>=3.9.0,<4.0a0' + liblapack: '>=3.9.0,<4.0a0' + m2w64-gcc-libs: '' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: b923df49729629ec0c2f46f9b7db715f + sha256: 1d91f95da72110cb61b13cf650f3995dde93f259a2868a1ccf0e647bb9a057e2 + manager: conda + name: scipy + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/scipy-1.9.3-py39hfbf2dce_2.tar.bz2 + version: 1.9.3 +- category: full + dependencies: + geos: '>=3.11.1,<3.11.2.0a0' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 5901975bfa0197441778bec463d2c45f + sha256: b79de723fe4b923062d5c1bffd3ea9558fff7ebfd8dab5aba1fc9b67ef886036 + manager: conda + name: shapely + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/shapely-2.0.0-py39h7c5f289_0.conda + version: 2.0.0 +- category: main + dependencies: + numpy: '>=1.7' + python: '' + hash: + md5: 7a6395b244b183e9e55e606e3d68e83b + sha256: 891620c6e65716efa84832458ff972037faf31a2009421ad120807dedd360402 + manager: conda + name: vectormath + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/vectormath-0.2.2-py_0.tar.bz2 + version: 0.2.2 +- category: main + dependencies: + numpy: '>=1.19.5,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + scipy: '>=0.13' + vc: '>=14.1,<15' + vs2015_runtime: '>=14.16.27033' + hash: + md5: 4e899b73be229523f8a916d80843e2f2 + sha256: 7b73503c2adbfadea3857ea26fcf2d5f22af825e9a4a6b9824b18c96974a6132 + manager: conda + name: discretize + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/discretize-0.7.4-py39hefe7e4c_0.tar.bz2 + version: 0.7.4 +- category: main + dependencies: + numba: '>=0.47' + python: '>=3.7' + scipy: '>=1.4.0' + hash: + md5: df7965121f7c2d03a9f444e5307a6550 + sha256: d01a52b5aa35962f6d160be459a4c2859079a0212b518ccaeaa2bc4a69a9568c + manager: conda + name: empymod + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/empymod-2.2.1-pyhd8ed1ab_0.tar.bz2 + version: 2.2.1 - category: full dependencies: attrs: '>=17' @@ -12944,7 +13056,7 @@ package: click-plugins: '>=1.0' cligj: '>=0.5' gdal: '' - libgdal: '>=3.5.3,<3.6.0a0' + libgdal: '>=3.6.0,<3.7.0a0' munch: '' numpy: '>=1.20.3,<2.0a0' python: '>=3.9,<3.10.0a0' @@ -12956,182 +13068,172 @@ package: vc: '>=14.2,<15' vs2015_runtime: '>=14.29.30139' hash: - md5: b09ecfc7fd3f93e272b2ab3aaf920189 - sha256: 8e6ccfd1749071356b5836b9177cecdd156a340849c22e5ed472af393d6c7d88 + md5: 8b4b28b86c1c9604e2851c0cd0d122e9 + sha256: 704b77f7fb184790d31483fa12e74bd38b3bcc37f8f4afac2773d3dba2945dbf manager: conda name: fiona optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/win-64/fiona-1.8.22-py39h9e0966e_1.tar.bz2 + url: https://conda.anaconda.org/conda-forge/win-64/fiona-1.8.22-py39hb5a1417_3.conda version: 1.8.22 -- category: full +- category: main dependencies: - __win: '' - debugpy: '>=1.0' - ipython: '>=7.23.1' - jupyter_client: '>=6.1.12' - matplotlib-inline: '>=0.1' - nest-asyncio: '' - packaging: '' - psutil: '' - python: '>=3.8' - pyzmq: '>=17' - tornado: '>=6.1' - traitlets: '>=5.1.0' + certifi: '>=2020.06.20' + contourpy: '>=1.0.1' + cycler: '>=0.10' + fonttools: '>=4.22.0' + freetype: '>=2.12.1,<3.0a0' + kiwisolver: '>=1.0.1' + numpy: '>=1.20.3,<2.0a0' + packaging: '>=20.0' + pillow: '>=6.2.0' + pyparsing: '>=2.3.1' + python: '>=3.9,<3.10.0a0' + python-dateutil: '>=2.7' + python_abi: 3.9.* *_cp39 + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: e97aa24b5fb3c0bddad7e408fd99f2bf - sha256: 808daef2205d2676c2943301891b78308b6032f198d98f692691886a71aafb0d + md5: d420f1357dfb5815828cf6f1f1b26f6f + sha256: f3f663a89379f684ddcef3a0fce31442ba09ce46fc4eaefa82e4b4ed524fe8e6 manager: conda - name: ipykernel - optional: true + name: matplotlib-base + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.17.0-pyh025b116_0.tar.bz2 - version: 6.17.0 + url: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.6.2-py39haf65ace_0.tar.bz2 + version: 3.6.2 - category: full dependencies: - beautifulsoup4: '' - bleach: '' - defusedxml: '' - entrypoints: '>=0.2.2' - jinja2: '>=3.0' - jupyter_core: '>=4.7' - jupyterlab_pygments: '' - markupsafe: '>=2.0' - mistune: '>=2.0.3,<3' - nbclient: '>=0.5.0' - nbformat: '>=5.1' - packaging: '' - pandocfilters: '>=1.4.1' - pygments: '>=2.4.1' + nbconvert-core: 7.2.6 pyhd8ed1ab_0 + nbconvert-pandoc: 7.2.6 pyhd8ed1ab_0 python: '>=3.7' - tinycss2: '' - traitlets: '>=5.0' hash: - md5: fa00f301fe82fe2b260f58789440587b - sha256: fd5f7512edd5b13d0aa09be9bf1336de433886fdf94bf668220e3e74b36ac3f7 + md5: cad325a4f09969426cd099d5c9f689f5 + sha256: b428afd52bcf4f395a423293c93f89c97fa71f03b019dc799542d45f429f9b7b manager: conda - name: nbconvert-core + name: nbconvert optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 -- category: dev + url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.2.6-pyhd8ed1ab_0.conda + version: 7.2.6 +- category: full dependencies: - certifi: '>=2017.4.17' - charset-normalizer: '>=2,<3' - idna: '>=2.5,<4' - python: '>=3.7,<4.0' - urllib3: '>=1.21.1,<1.27' + jupyter_server: '>=1.8,<3' + python: '>=3.7' hash: - md5: 089382ee0e2dc2eae33a04cc3c2bddb0 - sha256: b45d0da6774c8231ab4fef0427b3050e7c54c84dfe453143dd4010999c89e050 + md5: 40be846cd4e78672a40e43db9dae753c + sha256: d798a6a1938e3efa1562d3477a0337720ce07ef571c8b0255d80089f285eaf8a manager: conda - name: requests + name: notebook-shim optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/requests-2.28.1-pyhd8ed1ab_1.tar.bz2 - version: 2.28.1 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.2-pyhd8ed1ab_0.tar.bz2 + version: 0.2.2 +- category: main dependencies: - dash: '>=1.6.1' + numpy: '>=1.7' python: '' + six: '' + vectormath: '>=0.1.4' hash: - md5: ebd54a61606fa8a191932cb72e448418 - sha256: 5e99ab8b5cac15e5d6986a90566a335c21b2849838a6e877bec79efa2e7e346f + md5: 62052fa8409d12536ff149e25b0e9905 + sha256: 693596b821b28f8d9710e80a143816e55fc401b8cd2f0b0d777f5155bd3358f2 manager: conda - name: dash-daq - optional: true + name: properties + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/dash-daq-0.5.0-pyh9f0ad1d_1.tar.bz2 - version: 0.5.0 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/properties-0.6.1-py_0.tar.bz2 + version: 0.6.1 +- category: main dependencies: - ansi2html: '' - dash: '' - flask: '' - ipykernel: '' - ipython: '' - nest-asyncio: '' - python: '>=3.5' - requests: '' - retrying: '' + mkl: '>=2022.1.0,<2023.0a0' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + scipy: '>=0.13' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 9c77330b235666f244a7b8dcc7c0955a - sha256: 1b664f4776f45c897bb783fbfae19c400d58b1e68bdd1942da2c95a4e7f50091 + md5: d33169c9110fd4e697b92fb3373df4bd + sha256: f293370dcb860a3643c6348cef18206d3b9667238ec2f9a2e968961477b32797 manager: conda - name: jupyter-dash - optional: true + name: pydiso + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/jupyter-dash-0.4.2-pyhd8ed1ab_1.tar.bz2 - version: 0.4.2 -- category: full + url: https://conda.anaconda.org/conda-forge/win-64/pydiso-0.0.3-py39h9be9993_4.tar.bz2 + version: 0.0.3 +- category: main dependencies: - anyio: '>=3.1.0' - argon2-cffi: '' - jinja2: '' - jupyter_client: '>=6.1.12' - jupyter_core: '>=4.7.0' - nbconvert-core: '>=6.4.4' - nbformat: '>=5.2.0' - packaging: '' - prometheus_client: '' - python: '>=3.7' - pyzmq: '>=17' - send2trash: '' - terminado: '>=0.8.3' - tornado: '>=6.1.0' - traitlets: '>=5.1.0' - websocket-client: '' + joblib: '>=1.1.1' + libcblas: '>=3.9.0,<4.0a0' + numpy: '>=1.20.3,<2.0a0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + scipy: '' + threadpoolctl: '>=2.0.0' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' hash: - md5: 81f31b184703349ea7280c49ca4b5b4e - sha256: b14fe42d7eab0cefe9140b2e21ab139a408c5f4b3b7ba9cfdd438ff3ed17490d + md5: a59ed4e811e20fbccbae9c97dc76f861 + sha256: cff4e3ccfc8387113043e86c3ca7be7af9f88f31f1a6b4f1471cada94ee6edbe manager: conda - name: jupyter_server - optional: true + name: scikit-learn + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.21.0-pyhd8ed1ab_0.tar.bz2 - version: 1.21.0 + url: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.2.0-py39h6fe01c0_0.conda + version: 1.2.0 - category: full dependencies: - nbconvert-core: 7.2.3 pyhd8ed1ab_0 - pandoc: '' - python: '>=3.7' + imagecodecs: '>=2021.11.20' + numpy: '>=1.19.2' + python: '>=3.8' hash: - md5: 895c58bc1aa507933ad2ed9759682d9f - sha256: 5f7f9a907a1897fbe2139b176650b780d738e4b2dd5daac03bfdd6b957be2ffa + md5: 1c126ff5b4643785bbc16e44e6327e41 + sha256: 85153fe85b205e01f62fcfddcc47c2c6a8cb6062d4e0e73e0a0a71f01a984f33 manager: conda - name: nbconvert-pandoc + name: tifffile optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2022.10.10-pyhd8ed1ab_0.tar.bz2 + version: 2022.10.10 +- category: main dependencies: - nbconvert-core: 7.2.3 pyhd8ed1ab_0 - nbconvert-pandoc: 7.2.3 pyhd8ed1ab_0 - python: '>=3.7' + asciitree: '' + fasteners: '' + numcodecs: '>=0.10.0' + numpy: '>=1.7' + python: '>=3.5' hash: - md5: 7c1dbb2baf7c43c56fe1940a721f2678 - sha256: 207c88766cf465ce4f4a56e4439c83236a987fd737e4e83a9866f32b6e98747c + md5: 7e212240cf03e35a6b3201010a1a1e12 + sha256: 522e72b5f4f1d49d73bdd7fc92a4e51efe86910460577646f553905969d11550 manager: conda - name: nbconvert - optional: true + name: zarr + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.2.3-pyhd8ed1ab_0.tar.bz2 - version: 7.2.3 -- category: full + url: https://conda.anaconda.org/conda-forge/noarch/zarr-2.13.3-pyhd8ed1ab_0.tar.bz2 + version: 2.13.3 +- category: main dependencies: - jupyter_server: '>=1.8,<3' - python: '>=3.7' + future: '' + matplotlib-base: '' + numpy: '>=1.7' + properties: '' + python: '' + scipy: '>=0.13' + utm: '' + vectormath: '' hash: - md5: 45b287252fd17eccb002676623ba859c - sha256: c37fb11cdb79ec121948a3bd1bda4a6ad61e4d17cc78d9b6f845eb0680823277 + md5: 940c153c790eec5801d26ad7115d69bf + sha256: 6ef4cb86ab786166d39b6a55f2b5b9027f298d4aa7ba676d587b31cf80053ae5 manager: conda - name: notebook-shim - optional: true + name: geoana + optional: false platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.0-pyhd8ed1ab_0.tar.bz2 - version: 0.2.0 + url: https://conda.anaconda.org/conda-forge/noarch/geoana-0.0.6-py_1.tar.bz2 + version: 0.0.6 - category: full dependencies: argon2-cffi: '' @@ -13153,14 +13255,57 @@ package: tornado: '>=6.1' traitlets: '>=4.2.1' hash: - md5: 8d16bf3ba8cba7f702691767919d6bc6 - sha256: 2edf0741bf374b55163970127697846985ae9ac0576684ab9c80224ca810f060 + md5: f4f150f83ed90a1b833e6081bbf38257 + sha256: e180247b54ef26df23ed4662a5ca6a04252b11624da22d21cd976479afea4417 manager: conda name: nbclassic optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.4.5-pyhd8ed1ab_0.tar.bz2 - version: 0.4.5 + url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.4.8-pyhd8ed1ab_0.tar.bz2 + version: 0.4.8 +- category: main + dependencies: + numpy: '' + pydiso: '' + python: '>=3.6' + scipy: '' + hash: + md5: d824e3266c690c6b8c662cf19fa62b3f + sha256: e1d39044c41541a09ba846c51c2ba315858622dfb4e7eaebcb0823316159fab8 + manager: conda + name: pymatsolver + optional: false + platform: win-64 + url: https://conda.anaconda.org/conda-forge/noarch/pymatsolver-0.2.0-pyhd8ed1ab_0.tar.bz2 + version: 0.2.0 +- category: full + dependencies: + cloudpickle: '>=0.2.1' + cytoolz: '>=0.7.3' + dask-core: '>=1.0.0,!=2.17.0' + imageio: '>=2.3.0' + networkx: '>=2.2' + numpy: '>=1.20.3,<2.0a0' + packaging: '>=20.0' + pillow: '>=6.1.0,!=7.1.0,!=7.1.1,!=8.3.0' + python: '>=3.9,<3.10.0a0' + python_abi: 3.9.* *_cp39 + pywavelets: '>=1.1.1' + scipy: '>=1.4.1' + tifffile: '>=2019.7.26' + toolz: '>=0.7.3' + ucrt: '>=10.0.20348.0' + vc: '>=14.2,<15' + vs2015_runtime: '>=14.29.30139' + hash: + md5: 95af5e59b69d4df686989cd3662a2172 + sha256: 8cc7161db95db3768c36d69a7a347e64afbec82fd4dbc38e56bd6b65438ea69b + manager: conda + name: scikit-image + optional: true + platform: win-64 + url: https://conda.anaconda.org/conda-forge/win-64/scikit-image-0.19.3-py39h2ba5b7c_2.tar.bz2 + version: 0.19.3 - category: full dependencies: argon2-cffi: '' @@ -13169,25 +13314,26 @@ package: jinja2: '' jupyter_client: '>=5.3.4' jupyter_core: '>=4.6.1' - nbclassic: 0.4.5 - nbconvert: '>=5' + nbclassic: '>=0.4.7' + nbconvert-core: '>=5' nbformat: '' + nest-asyncio: '>=1.5' prometheus_client: '' python: '>=3.7' pyzmq: '>=17' - send2trash: '>=1.5.0' + send2trash: '>=1.8.0' terminado: '>=0.8.3' tornado: '>=6.1' traitlets: '>=4.2.1' hash: - md5: 16d5690e1f1cf716b6adf33a2a54dce5 - sha256: 7f1f249181459591083c4b99e3981a7c0933365deace3a75f72bfaca3256305a + md5: 7bf26ca095481f206e6f9dd7681085fe + sha256: 59b8f5923f5400e8d52a1bc7ad307add6953fa09f332cb745e22ef1e05b05acc manager: conda name: notebook optional: true platform: win-64 - url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.1-pyha770c72_0.tar.bz2 - version: 6.5.1 + url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.2-pyha770c72_1.tar.bz2 + version: 6.5.2 - category: full dependencies: notebook: '>=5.3' @@ -13277,12 +13423,25 @@ package: utm: '*' vectormath: '>=0.2.0' hash: - sha256: b1343e81535c83051201ae5aefef4d301effe04e5786bd19e3ce15ffb69471c7 + sha256: 35ba6d0f6ff81770caf1ea7599ba62f3b13b23c14091fec35e9d751c0aca793e manager: pip name: mira-simpeg optional: false platform: win-64 source: null - url: https://files.pythonhosted.org/packages/0f/00/ac96a8523e2327727bc14577ec06507d76fd9e258cf4689dc06334eb0e1f/Mira_SimPEG-0.15.1.dev6-py2.py3-none-any.whl - version: 0.15.1.dev6 + url: https://files.pythonhosted.org/packages/f0/6e/d27a5faf1fc1bda17a119bb3f021f8d91597f0fbd1f85630bf9e6dfd63a4/Mira_SimPEG-0.15.1.dev7-py2.py3-none-any.whl + version: 0.15.1.dev7 +- category: main + dependencies: + geoh5py: '>=0.5.0,<0.6.0' + numpy: '>=1.21.5,<2.0.0' + hash: + sha256: c73020238558b1ececd1ad6e01b76dac8272dda46f3361a034315bd40b341d9d + manager: pip + name: param-sweeps + optional: false + platform: win-64 + source: null + url: https://files.pythonhosted.org/packages/86/9a/cf12141da920feeb4b80833bd54f01d11c7b58b3f7f7c5ec19d2a45127f8/param_sweeps-0.1.3-py3-none-any.whl + version: 0.1.3 version: 1 diff --git a/devtools/add_url_tag_sha256.py b/devtools/add_url_tag_sha256.py index dab8a3aae..e7f9a296d 100644 --- a/devtools/add_url_tag_sha256.py +++ b/devtools/add_url_tag_sha256.py @@ -45,7 +45,7 @@ def patchPyprojectToml(): assert pyproject.is_file() tag_url_re = re.compile( - r"""^(\s*\w*\s*=\s*{\s*url\s*=\s*)"(.*/archive/refs/tags/.*)#sha256=\w*"(.*}.*)""" + r"""^(\s*\S*\s*=\s*{\s*url\s*=\s*)"(.*/archive/refs/tags/.*)#sha256=\w*"(.*}.*)""" ) pyproject_sha = Path("pyproject-sha.toml") with open(pyproject_sha, "w") as patched: diff --git a/docs/conf.py b/docs/conf.py index 9e88486b7..d5ecfc9ed 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -95,9 +95,9 @@ project = "geoapps" # The short X.Y version. -version = "0.9.0" +version = "0.9.1" # The full version, including alpha/beta/rc tags. -release = "0.9.0" +release = "0.9.1" # List of patterns, relative to source directory, that match files and diff --git a/environments/conda-py-3.10-linux-64-dev.lock.yml b/environments/conda-py-3.10-linux-64-dev.lock.yml index 338be0195..a6541b5ff 100644 --- a/environments/conda-py-3.10-linux-64-dev.lock.yml +++ b/environments/conda-py-3.10-linux-64-dev.lock.yml @@ -1,25 +1,27 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: c0b4ae9e854f84e295abb337b4ca0c9010cf30c3e2765be27e66ab95c120444a +# input_hash: 3ec4fdef10aab44d9db73da5cf3f58033c45a361304d5de57b40dc8ad09fbdde channels: - conda-forge - defaults dependencies: - _libgcc_mutex=0.1=conda_forge - - ca-certificates=2022.9.24=ha878542_0 + - ca-certificates=2022.12.7=ha878542_0 - font-ttf-dejavu-sans-mono=2.37=hab24e00_0 - font-ttf-inconsolata=3.000=h77eed37_0 - font-ttf-source-code-pro=2.038=h77eed37_0 - font-ttf-ubuntu=0.83=hab24e00_0 - - ld_impl_linux-64=2.39=hc81fddc_0 + - ld_impl_linux-64=2.39=hcc3a1bd_1 - libgfortran5=12.2.0=h337968e_19 - libstdcxx-ng=12.2.0=h46fd767_19 - poppler-data=0.4.11=hd8ed1ab_0 - - tzdata=2022f=h191b570_0 + - python_abi=3.10=3_cp310 + - tzdata=2022g=h191b570_0 - fonts-conda-forge=1=0 - libgfortran-ng=12.2.0=h69a702a_19 - fonts-conda-ecosystem=1=0 + - _ipython_minor_entry_point=8.7.0=hb6b4a82_0 - _openmp_mutex=4.5=2_kmp_llvm - libgcc-ng=12.2.0=h65d4601_19 - aom=3.5.0=h27087fc_0 @@ -29,7 +31,7 @@ dependencies: - dav1d=1.0.0=h166bdaf_1 - expat=2.5.0=h27087fc_0 - freexl=1.0.6=h166bdaf_1 - - geos=3.11.0=h27087fc_0 + - geos=3.11.1=h27087fc_0 - gettext=0.21.1=h27087fc_0 - giflib=5.2.1=h36c2ea0_2 - icu=70.1=h27087fc_0 @@ -52,14 +54,13 @@ dependencies: - libzopfli=1.0.3=h9c3ff4c_0 - lz4-c=1.9.3=h9c3ff4c_1 - ncurses=6.3=h27087fc_1 - - nspr=4.32=h9c3ff4c_1 - - openssl=3.0.7=h166bdaf_0 - - pcre=8.45=h9c3ff4c_0 + - nspr=4.35=h27087fc_0 + - openssl=3.0.7=h0b41bf4_1 - pixman=0.40.0=h36c2ea0_0 - pthread-stubs=0.4=h36c2ea0_1001 - - snappy=1.1.9=hbd366e4_1 - - tbb=2021.6.0=h924138e_1 - - tzcode=2022e=h166bdaf_0 + - qhull=2020.2=h4bd325d_2 + - snappy=1.1.9=hbd366e4_2 + - tzcode=2022g=h166bdaf_0 - xorg-kbproto=1.0.7=h7f98852_1002 - xorg-libice=1.0.10=h7f98852_0 - xorg-libxau=1.0.9=h7f98852_0 @@ -77,57 +78,60 @@ dependencies: - libedit=3.1.20191231=he28a2e2_2 - libllvm11=11.1.0=he0ac6c6_5 - libnghttp2=1.47.0=hff17c54_1 - - libpng=1.6.38=h753d276_0 - - librttopo=1.1.0=hf730bdb_11 - - libsqlite=3.39.4=h753d276_0 + - libpng=1.6.39=h753d276_0 + - librttopo=1.1.0=ha49c73b_12 + - libsqlite=3.40.0=h753d276_0 - libssh2=1.10.0=hf14f497_3 - libxcb=1.13=h7f98852_1004 - libxml2=2.10.3=h7463322_0 - libzip=1.9.2=hc929e4a_1 - - llvm-openmp=14.0.4=he0ac6c6_0 + - llvm-openmp=15.0.6=he0ac6c6_0 - pandoc=2.19.2=h32600fe_1 - - pcre2=10.37=hc3806b6_1 + - pcre2=10.40=hc3806b6_0 - readline=8.1.2=h0f457ee_0 - tk=8.6.12=h27826a3_0 - xorg-libsm=1.2.3=hd9c2040_1000 - zeromq=4.3.4=h9c3ff4c_1 - zlib=1.2.13=h166bdaf_4 - zstd=1.5.2=h6239696_4 - - blosc=1.21.1=h83bc5f7_3 + - blosc=1.21.2=hafa529b_0 - boost-cpp=1.78.0=h75c5d50_1 - brotli-bin=1.0.9=h166bdaf_8 - - c-blosc2=2.4.3=h7a311fb_0 - - freetype=2.12.1=hca18f0e_0 + - c-blosc2=2.6.0=hf91038e_0 + - freetype=2.12.1=hca18f0e_1 - hdf4=4.2.15=h9772cbc_5 - krb5=1.19.3=h08a2579_0 - - libglib=2.74.1=h7a41b64_0 + - libglib=2.74.1=h606061b_1 + - libhwloc=2.8.0=h32351e8_1 - libtiff=4.4.0=h55922b4_4 - - mkl=2022.1.0=h84fe81f_915 - - python=3.10.6=ha86cf86_0_cpython - - sqlite=3.39.4=h4ff8645_0 + - nss=3.82=he02c5a1_0 + - python=3.10.8=h4a9ceb5_0_cpython + - sqlite=3.40.0=h4ff8645_0 - xorg-libx11=1.7.2=h7f98852_0 - asciitree=0.3.3=py_2 - attrs=22.1.0=pyh71513ae_1 - backcall=0.2.0=pyh9f0ad1d_0 - - backports=1.0=py_2 + - backports=1.0=pyhd8ed1ab_3 - brotli=1.0.9=h166bdaf_8 + - brotli-python=1.0.9=py310hd8f1fbe_8 - cached_property=1.5.2=pyha770c72_1 - - certifi=2022.9.24=pyhd8ed1ab_0 + - certifi=2022.12.7=pyhd8ed1ab_0 - charset-normalizer=2.1.1=pyhd8ed1ab_0 - click=8.1.3=unix_pyhd8ed1ab_2 - cloudpickle=2.2.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 - cycler=0.11.0=pyhd8ed1ab_0 + - debugpy=1.6.4=py310hd8f1fbe_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - dill=0.3.6=pyhd8ed1ab_1 - entrypoints=0.4=pyhd8ed1ab_0 - - exceptiongroup=1.0.0=pyhd8ed1ab_0 + - exceptiongroup=1.0.4=pyhd8ed1ab_0 - executing=1.2.0=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - flit-core=3.7.1=pyhd8ed1ab_0 + - flit-core=3.8.0=pyhd8ed1ab_0 - fontconfig=2.14.1=hc2a2eb6_0 - - fsspec=2022.10.0=pyhd8ed1ab_0 + - fsspec=2022.11.0=pyhd8ed1ab_0 - future=0.18.2=pyhd8ed1ab_6 - heapdict=1.0.1=py_0 - idna=3.4=pyhd8ed1ab_0 @@ -135,193 +139,192 @@ dependencies: - ipython_genutils=0.2.0=py_1 - itsdangerous=2.1.2=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.1=pyhd8ed1ab_0 + - kiwisolver=1.4.4=py310hbf28c38_1 + - lazy-object-proxy=1.8.0=py310h5764c6d_0 - lcms2=2.14=h6ed2654_0 - - libblas=3.9.0=16_linux64_mkl - - libcurl=7.86.0=h2283fc2_0 + - libcurl=7.86.0=h2283fc2_1 - libkml=1.3.0=h37653c0_1015 - - libpq=14.5=he2d8382_1 + - libpq=15.1=h67c24c5_1 + - llvmlite=0.39.1=py310h58363a5_1 - locket=1.0.0=pyhd8ed1ab_0 + - markupsafe=2.1.1=py310h5764c6d_2 - mccabe=0.7.0=pyhd8ed1ab_0 - mistune=2.0.4=pyhd8ed1ab_0 + - msgpack-python=1.0.4=py310hbf28c38_1 - munkres=1.1.4=pyh9f0ad1d_0 - nest-asyncio=1.5.6=pyhd8ed1ab_0 - - networkx=2.8.7=pyhd8ed1ab_0 - - nss=3.78=h2350873_0 + - networkx=2.8.8=pyhd8ed1ab_0 - openjpeg=2.5.0=h7d73246_1 + - packaging=22.0=pyhd8ed1ab_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.3=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0 - - platformdirs=2.5.2=pyhd8ed1ab_1 + - platformdirs=2.6.0=pyhd8ed1ab_0 - pluggy=1.0.0=pyhd8ed1ab_5 - prometheus_client=0.15.0=pyhd8ed1ab_0 + - psutil=5.9.4=py310h5764c6d_0 - ptyprocess=0.7.0=pyhd3deb0d_0 - pure_eval=0.2.2=pyhd8ed1ab_0 - pycparser=2.21=pyhd8ed1ab_0 - pyparsing=3.0.9=pyhd8ed1ab_0 + - pyrsistent=0.19.2=py310h5764c6d_0 - pysocks=1.7.1=pyha2e5f31_6 - python-fastjsonschema=2.16.2=pyhd8ed1ab_0 - - python_abi=3.10=2_cp310 - - pytz=2022.5=pyhd8ed1ab_0 + - pytz=2022.6=pyhd8ed1ab_0 + - pyyaml=6.0=py310h5764c6d_5 + - pyzmq=24.0.1=py310h330234f_1 - send2trash=1.8.0=pyhd8ed1ab_0 - - setuptools=65.5.0=pyhd8ed1ab_0 + - setuptools=65.5.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.0=pyhd8ed1ab_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - soupsieve=2.3.2.post1=pyhd8ed1ab_0 + - tbb=2021.7.0=h924138e_1 - tblib=1.7.0=pyhd8ed1ab_0 - tenacity=8.1.0=pyhd8ed1ab_0 - threadpoolctl=3.1.0=pyh8a188c0_0 - toml=0.10.2=pyhd8ed1ab_0 - tomli=2.0.1=pyhd8ed1ab_0 - toolz=0.12.0=pyhd8ed1ab_0 - - traitlets=5.5.0=pyhd8ed1ab_0 + - tornado=6.1=py310h5764c6d_3 + - traitlets=5.7.1=pyhd8ed1ab_0 - typing=3.10.0.0=pyhd8ed1ab_0 - typing_extensions=4.4.0=pyha770c72_0 + - unicodedata2=15.0.0=py310h5764c6d_0 - utm=0.7.0=pyhd8ed1ab_0 - webencodings=0.5.1=py_1 - - websocket-client=1.4.1=pyhd8ed1ab_0 - - wheel=0.37.1=pyhd8ed1ab_0 + - websocket-client=1.4.2=pyhd8ed1ab_0 + - wheel=0.38.4=pyhd8ed1ab_0 + - wrapt=1.14.1=py310h5764c6d_1 - xorg-libxext=1.3.4=h7f98852_1 - xorg-libxrender=0.9.10=h7f98852_1003 - - zipp=3.10.0=pyhd8ed1ab_0 + - zipp=3.11.0=pyhd8ed1ab_0 - ansi2html=1.8.0=py310hff52083_1 - anyio=3.6.2=pyhd8ed1ab_0 - - asttokens=2.1.0=pyhd8ed1ab_0 + - astroid=2.12.13=py310hff52083_0 + - asttokens=2.2.1=pyhd8ed1ab_0 - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 - beautifulsoup4=4.11.1=pyha770c72_0 - - brotli-python=1.0.9=py310hd8f1fbe_8 + - bleach=5.0.1=pyhd8ed1ab_0 - brunsli=0.1=h9c3ff4c_0 - cached-property=1.5.2=hd8ed1ab_1 - cairo=1.16.0=ha61ee94_1014 - cffi=1.15.1=py310h255011f_2 - - cfitsio=4.1.0=hd9d235c_0 + - cfitsio=4.2.0=hd9d235c_0 - click-plugins=1.1.1=py_0 - cligj=0.7.2=pyhd8ed1ab_1 + - comm=0.1.2=pyhd8ed1ab_0 - coverage=6.5.0=py310h5764c6d_1 - - curl=7.86.0=h2283fc2_0 + - curl=7.86.0=h2283fc2_1 - cytoolz=0.12.0=py310h5764c6d_1 - - debugpy=1.6.3=py310hd8f1fbe_1 + - fonttools=4.38.0=py310h5764c6d_1 - hdf5=1.12.2=nompi_h4df4325_100 - - importlib-metadata=5.0.0=pyha770c72_1 - - importlib_resources=5.10.0=pyhd8ed1ab_0 - - isort=5.10.1=pyhd8ed1ab_0 - - jedi=0.18.1=pyhd8ed1ab_2 + - importlib-metadata=5.1.0=pyha770c72_0 + - importlib_resources=5.10.1=pyhd8ed1ab_0 + - isort=5.11.1=pyhd8ed1ab_0 + - jedi=0.18.2=pyhd8ed1ab_0 + - jinja2=3.1.2=pyhd8ed1ab_1 - joblib=1.2.0=pyhd8ed1ab_0 - - jupyter_core=4.11.1=py310hff52083_1 - - kiwisolver=1.4.4=py310hbf28c38_1 - - lazy-object-proxy=1.8.0=py310h5764c6d_0 - - libcblas=3.9.0=16_linux64_mkl - - liblapack=3.9.0=16_linux64_mkl - - llvmlite=0.39.1=py310h58363a5_1 - - markupsafe=2.1.1=py310h5764c6d_2 + - jupyter_core=5.1.0=py310hff52083_0 - matplotlib-inline=0.1.6=pyhd8ed1ab_0 - - msgpack-python=1.0.4=py310hbf28c38_1 + - mkl=2022.2.1=h84fe81f_16997 - munch=2.5.0=py_0 - - packaging=21.3=pyhd8ed1ab_0 - partd=1.3.0=pyhd8ed1ab_0 - pexpect=4.8.0=pyh1a96a4e_2 - pillow=9.2.0=py310h454ad03_3 - - pip=22.3=pyhd8ed1ab_0 - - plotly=5.11.0=pyhd8ed1ab_0 - - postgresql=14.5=ha105346_1 + - pip=22.3.1=pyhd8ed1ab_0 + - plotly=5.11.0=pyhd8ed1ab_1 + - postgresql=15.1=ha105346_1 - proj=9.1.0=h93bde94_0 - - psutil=5.9.3=py310h5764c6d_1 - pygments=2.13.0=pyhd8ed1ab_0 - - pyrsistent=0.18.1=py310h5764c6d_2 + - pytest=7.2.0=pyhd8ed1ab_2 - python-dateutil=2.8.2=pyhd8ed1ab_0 - - pyyaml=6.0=py310h5764c6d_5 - - pyzmq=24.0.1=py310h330234f_1 - retrying=1.3.3=py_2 + - terminado=0.17.1=pyh41d4057_0 - tinycss2=1.2.1=pyhd8ed1ab_0 - tomlkit=0.11.6=pyha770c72_0 - - tornado=6.1=py310h5764c6d_3 - tqdm=4.64.1=pyhd8ed1ab_0 - typing-extensions=4.4.0=hd8ed1ab_0 - - unicodedata2=15.0.0=py310h5764c6d_0 - - wrapt=1.14.1=py310h5764c6d_1 + - werkzeug=2.2.2=pyhd8ed1ab_0 - xerces-c=3.2.4=h55805fa_1 - zict=2.2.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py310h5764c6d_3 - - astroid=2.12.12=py310hff52083_1 - - bleach=5.0.1=pyhd8ed1ab_0 - brotlipy=0.7.0=py310h5764c6d_1005 - - cryptography=38.0.2=py310h600f1e7_2 + - cryptography=38.0.4=py310h600f1e7_0 - dask-core=2022.10.0=pyhd8ed1ab_2 - - fonttools=4.38.0=py310h5764c6d_1 + - flask=2.2.2=pyhd8ed1ab_0 - geotiff=1.7.1=ha76d385_4 - - jinja2=3.1.2=pyhd8ed1ab_1 - - jsonschema=4.16.0=pyhd8ed1ab_0 + - jsonschema=4.17.3=pyhd8ed1ab_0 - jupyter_client=7.3.4=pyhd8ed1ab_0 - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 - - kealib=1.4.15=ha7026e8_1 - - libdap4=3.20.6=hd7c4107_2 + - kealib=1.5.0=ha7026e8_0 + - libblas=3.9.0=16_linux64_mkl - libnetcdf=4.8.1=nompi_h261ec11_106 - - libspatialite=5.0.1=hfbd986c_21 - - numpy=1.23.4=py310h53a5b5f_1 - - poppler=22.10.0=h92391eb_0 - - pytest=7.2.0=pyhd8ed1ab_2 - - stack_data=0.6.0=pyhd8ed1ab_0 - - terminado=0.17.0=pyh41d4057_0 - - tiledb=2.11.3=h3f4058f_1 + - libspatialite=5.0.1=h7c8129e_22 + - poppler=22.12.0=h92391eb_0 + - pylint=2.15.8=pyhd8ed1ab_0 + - pytest-cov=3.0.0=pyhd8ed1ab_0 + - stack_data=0.6.2=pyhd8ed1ab_0 + - tiledb=2.13.0=h3f4058f_0 - wcwidth=0.2.5=pyh9f0ad1d_2 - - werkzeug=2.2.2=pyhd8ed1ab_0 - argon2-cffi=21.3.0=pyhd8ed1ab_0 + - flask-compress=1.13=pyhd8ed1ab_0 + - libcblas=3.9.0=16_linux64_mkl + - libgdal=3.6.0=h4fca5ce_14 + - liblapack=3.9.0=16_linux64_mkl + - nbformat=5.7.0=pyhd8ed1ab_0 + - prompt-toolkit=3.0.36=pyha770c72_0 + - pyopenssl=22.1.0=pyhd8ed1ab_0 + - dash=2.7.1=pyhd8ed1ab_0 + - ipython=8.7.0=pyh41d4057_0 + - nbclient=0.7.2=pyhd8ed1ab_0 + - numpy=1.23.5=py310h53a5b5f_0 + - urllib3=1.26.13=pyhd8ed1ab_0 - contourpy=1.0.6=py310hbf28c38_0 - - flask=2.2.2=pyhd8ed1ab_0 + - dash-daq=0.5.0=pyh9f0ad1d_1 + - distributed=2022.10.0=pyhd8ed1ab_2 + - gdal=3.6.0=py310hc1b7723_14 - h5py=3.7.0=nompi_py310h416281c_102 - - imagecodecs=2022.9.26=py310h90cd304_3 - - imageio=2.22.0=pyhfa7a67d_0 - - libgdal=3.5.3=h27ae5c1_0 - - nbformat=5.7.0=pyhd8ed1ab_0 - - numba=0.56.3=py310ha5257ce_0 + - imagecodecs=2022.9.26=py310h543e91f_4 + - imageio=2.22.4=pyhfa7a67d_1 + - ipykernel=6.19.2=pyh210e3f2_0 + - nbconvert-core=7.2.6=pyhd8ed1ab_0 + - numba=0.56.4=py310ha5257ce_0 - numcodecs=0.10.2=py310hd8f1fbe_0 - - pandas=1.5.1=py310h769672d_1 - - prompt-toolkit=3.0.31=pyha770c72_0 - - pylint=2.15.5=pyhd8ed1ab_0 - - pyopenssl=22.1.0=pyhd8ed1ab_0 - - pytest-cov=3.0.0=pyhd8ed1ab_0 + - pandas=1.5.2=py310h769672d_0 - pywavelets=1.3.0=py310hde88566_2 - - scipy=1.9.3=py310hdfbd76f_1 - - shapely=1.8.5=py310h5e49deb_1 + - requests=2.28.1=pyhd8ed1ab_1 + - scipy=1.9.3=py310hdfbd76f_2 + - shapely=2.0.0=py310h8b84c32_0 - vectormath=0.2.2=py_0 - discretize=0.7.4=py310hc4a4660_0 - empymod=2.2.1=pyhd8ed1ab_0 - - flask-compress=1.13=pyhd8ed1ab_0 - - gdal=3.5.3=py310he53f9b6_0 - - ipython=8.6.0=pyh41d4057_1 - - matplotlib-base=3.6.1=py310h8d5ebf3_1 - - nbclient=0.7.0=pyhd8ed1ab_0 + - fiona=1.8.22=py310ha325b7b_3 + - jupyter-dash=0.4.2=pyhd8ed1ab_1 + - jupyter_server=1.23.3=pyhd8ed1ab_0 + - matplotlib-base=3.6.2=py310h8d5ebf3_0 + - nbconvert-pandoc=7.2.6=pyhd8ed1ab_0 - properties=0.6.1=py_0 - pydiso=0.0.3=py310h1dd1467_4 - - scikit-learn=1.1.3=py310h0c3af53_1 + - scikit-learn=1.2.0=py310h209a8ca_0 - tifffile=2022.10.10=pyhd8ed1ab_0 - - urllib3=1.26.11=pyhd8ed1ab_0 - zarr=2.13.3=pyhd8ed1ab_0 - - dash=2.6.2=pyhd8ed1ab_0 - - distributed=2022.10.0=pyhd8ed1ab_2 - - fiona=1.8.22=py310h60a68a4_1 - geoana=0.0.6=py_1 - - ipykernel=6.17.0=pyh210e3f2_0 - - nbconvert-core=7.2.3=pyhd8ed1ab_0 + - nbconvert=7.2.6=pyhd8ed1ab_0 + - notebook-shim=0.2.2=pyhd8ed1ab_0 - pymatsolver=0.2.0=pyhd8ed1ab_0 - - requests=2.28.1=pyhd8ed1ab_1 - scikit-image=0.19.3=py310h769672d_2 - - dash-daq=0.5.0=pyh9f0ad1d_1 - - jupyter-dash=0.4.2=pyhd8ed1ab_1 - - jupyter_server=1.21.0=pyhd8ed1ab_0 - - nbconvert-pandoc=7.2.3=pyhd8ed1ab_0 - - nbconvert=7.2.3=pyhd8ed1ab_0 - - notebook-shim=0.2.0=pyhd8ed1ab_0 - - nbclassic=0.4.5=pyhd8ed1ab_0 - - notebook=6.5.1=pyha770c72_0 + - nbclassic=0.4.8=pyhd8ed1ab_0 + - notebook=6.5.2=pyha770c72_1 - widgetsnbextension=3.6.1=pyha770c72_0 - ipywidgets=7.7.2=pyhd8ed1ab_0 - ipyfilechooser=0.6.0=pyhd8ed1ab_0 - pip: - geoh5py === 0.5.0 - simpeg-archive === 0.9.1.dev5 - - mira-simpeg === 0.15.1.dev6 + - mira-simpeg === 0.15.1.dev7 + - param-sweeps === 0.1.3 variables: KMP_WARNINGS: 0 diff --git a/environments/conda-py-3.10-linux-64.lock.yml b/environments/conda-py-3.10-linux-64.lock.yml index abf2bef0f..091dce7f1 100644 --- a/environments/conda-py-3.10-linux-64.lock.yml +++ b/environments/conda-py-3.10-linux-64.lock.yml @@ -1,25 +1,27 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: c0b4ae9e854f84e295abb337b4ca0c9010cf30c3e2765be27e66ab95c120444a +# input_hash: 3ec4fdef10aab44d9db73da5cf3f58033c45a361304d5de57b40dc8ad09fbdde channels: - conda-forge - defaults dependencies: - _libgcc_mutex=0.1=conda_forge - - ca-certificates=2022.9.24=ha878542_0 + - ca-certificates=2022.12.7=ha878542_0 - font-ttf-dejavu-sans-mono=2.37=hab24e00_0 - font-ttf-inconsolata=3.000=h77eed37_0 - font-ttf-source-code-pro=2.038=h77eed37_0 - font-ttf-ubuntu=0.83=hab24e00_0 - - ld_impl_linux-64=2.39=hc81fddc_0 + - ld_impl_linux-64=2.39=hcc3a1bd_1 - libgfortran5=12.2.0=h337968e_19 - libstdcxx-ng=12.2.0=h46fd767_19 - poppler-data=0.4.11=hd8ed1ab_0 - - tzdata=2022f=h191b570_0 + - python_abi=3.10=3_cp310 + - tzdata=2022g=h191b570_0 - fonts-conda-forge=1=0 - libgfortran-ng=12.2.0=h69a702a_19 - fonts-conda-ecosystem=1=0 + - _ipython_minor_entry_point=8.7.0=hb6b4a82_0 - _openmp_mutex=4.5=2_kmp_llvm - libgcc-ng=12.2.0=h65d4601_19 - aom=3.5.0=h27087fc_0 @@ -29,7 +31,7 @@ dependencies: - dav1d=1.0.0=h166bdaf_1 - expat=2.5.0=h27087fc_0 - freexl=1.0.6=h166bdaf_1 - - geos=3.11.0=h27087fc_0 + - geos=3.11.1=h27087fc_0 - gettext=0.21.1=h27087fc_0 - giflib=5.2.1=h36c2ea0_2 - icu=70.1=h27087fc_0 @@ -52,14 +54,13 @@ dependencies: - libzopfli=1.0.3=h9c3ff4c_0 - lz4-c=1.9.3=h9c3ff4c_1 - ncurses=6.3=h27087fc_1 - - nspr=4.32=h9c3ff4c_1 - - openssl=3.0.7=h166bdaf_0 - - pcre=8.45=h9c3ff4c_0 + - nspr=4.35=h27087fc_0 + - openssl=3.0.7=h0b41bf4_1 - pixman=0.40.0=h36c2ea0_0 - pthread-stubs=0.4=h36c2ea0_1001 - - snappy=1.1.9=hbd366e4_1 - - tbb=2021.6.0=h924138e_1 - - tzcode=2022e=h166bdaf_0 + - qhull=2020.2=h4bd325d_2 + - snappy=1.1.9=hbd366e4_2 + - tzcode=2022g=h166bdaf_0 - xorg-kbproto=1.0.7=h7f98852_1002 - xorg-libice=1.0.10=h7f98852_0 - xorg-libxau=1.0.9=h7f98852_0 @@ -77,230 +78,232 @@ dependencies: - libedit=3.1.20191231=he28a2e2_2 - libllvm11=11.1.0=he0ac6c6_5 - libnghttp2=1.47.0=hff17c54_1 - - libpng=1.6.38=h753d276_0 - - librttopo=1.1.0=hf730bdb_11 - - libsqlite=3.39.4=h753d276_0 + - libpng=1.6.39=h753d276_0 + - librttopo=1.1.0=ha49c73b_12 + - libsqlite=3.40.0=h753d276_0 - libssh2=1.10.0=hf14f497_3 - libxcb=1.13=h7f98852_1004 - libxml2=2.10.3=h7463322_0 - libzip=1.9.2=hc929e4a_1 - - llvm-openmp=14.0.4=he0ac6c6_0 + - llvm-openmp=15.0.6=he0ac6c6_0 - pandoc=2.19.2=h32600fe_1 - - pcre2=10.37=hc3806b6_1 + - pcre2=10.40=hc3806b6_0 - readline=8.1.2=h0f457ee_0 - tk=8.6.12=h27826a3_0 - xorg-libsm=1.2.3=hd9c2040_1000 - zeromq=4.3.4=h9c3ff4c_1 - zlib=1.2.13=h166bdaf_4 - zstd=1.5.2=h6239696_4 - - blosc=1.21.1=h83bc5f7_3 + - blosc=1.21.2=hafa529b_0 - boost-cpp=1.78.0=h75c5d50_1 - brotli-bin=1.0.9=h166bdaf_8 - - c-blosc2=2.4.3=h7a311fb_0 - - freetype=2.12.1=hca18f0e_0 + - c-blosc2=2.6.0=hf91038e_0 + - freetype=2.12.1=hca18f0e_1 - hdf4=4.2.15=h9772cbc_5 - krb5=1.19.3=h08a2579_0 - - libglib=2.74.1=h7a41b64_0 + - libglib=2.74.1=h606061b_1 + - libhwloc=2.8.0=h32351e8_1 - libtiff=4.4.0=h55922b4_4 - - mkl=2022.1.0=h84fe81f_915 - - python=3.10.6=ha86cf86_0_cpython - - sqlite=3.39.4=h4ff8645_0 + - nss=3.82=he02c5a1_0 + - python=3.10.8=h4a9ceb5_0_cpython + - sqlite=3.40.0=h4ff8645_0 - xorg-libx11=1.7.2=h7f98852_0 - asciitree=0.3.3=py_2 - backcall=0.2.0=pyh9f0ad1d_0 - - backports=1.0=py_2 + - backports=1.0=pyhd8ed1ab_3 - brotli=1.0.9=h166bdaf_8 + - brotli-python=1.0.9=py310hd8f1fbe_8 - cached_property=1.5.2=pyha770c72_1 - - certifi=2022.9.24=pyhd8ed1ab_0 + - certifi=2022.12.7=pyhd8ed1ab_0 - click=8.1.3=unix_pyhd8ed1ab_2 - cloudpickle=2.2.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 - cycler=0.11.0=pyhd8ed1ab_0 + - debugpy=1.6.4=py310hd8f1fbe_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - entrypoints=0.4=pyhd8ed1ab_0 - executing=1.2.0=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - flit-core=3.7.1=pyhd8ed1ab_0 + - flit-core=3.8.0=pyhd8ed1ab_0 - fontconfig=2.14.1=hc2a2eb6_0 - - fsspec=2022.10.0=pyhd8ed1ab_0 + - fsspec=2022.11.0=pyhd8ed1ab_0 - future=0.18.2=pyhd8ed1ab_6 - heapdict=1.0.1=py_0 - idna=3.4=pyhd8ed1ab_0 - ipython_genutils=0.2.0=py_1 - itsdangerous=2.1.2=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.1=pyhd8ed1ab_0 + - kiwisolver=1.4.4=py310hbf28c38_1 - lcms2=2.14=h6ed2654_0 - - libblas=3.9.0=16_linux64_mkl - - libcurl=7.86.0=h2283fc2_0 + - libcurl=7.86.0=h2283fc2_1 - libkml=1.3.0=h37653c0_1015 - - libpq=14.5=he2d8382_1 + - libpq=15.1=h67c24c5_1 + - llvmlite=0.39.1=py310h58363a5_1 - locket=1.0.0=pyhd8ed1ab_0 + - markupsafe=2.1.1=py310h5764c6d_2 - mistune=2.0.4=pyhd8ed1ab_0 + - msgpack-python=1.0.4=py310hbf28c38_1 - munkres=1.1.4=pyh9f0ad1d_0 - nest-asyncio=1.5.6=pyhd8ed1ab_0 - - networkx=2.8.7=pyhd8ed1ab_0 - - nss=3.78=h2350873_0 + - networkx=2.8.8=pyhd8ed1ab_0 - openjpeg=2.5.0=h7d73246_1 + - packaging=22.0=pyhd8ed1ab_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.3=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0 - prometheus_client=0.15.0=pyhd8ed1ab_0 + - psutil=5.9.4=py310h5764c6d_0 - ptyprocess=0.7.0=pyhd3deb0d_0 - pure_eval=0.2.2=pyhd8ed1ab_0 - pycparser=2.21=pyhd8ed1ab_0 - pyparsing=3.0.9=pyhd8ed1ab_0 + - pyrsistent=0.19.2=py310h5764c6d_0 - pysocks=1.7.1=pyha2e5f31_6 - python-fastjsonschema=2.16.2=pyhd8ed1ab_0 - - python_abi=3.10=2_cp310 - - pytz=2022.5=pyhd8ed1ab_0 + - pytz=2022.6=pyhd8ed1ab_0 + - pyyaml=6.0=py310h5764c6d_5 + - pyzmq=24.0.1=py310h330234f_1 - send2trash=1.8.0=pyhd8ed1ab_0 - - setuptools=65.5.0=pyhd8ed1ab_0 + - setuptools=65.5.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.0=pyhd8ed1ab_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - soupsieve=2.3.2.post1=pyhd8ed1ab_0 + - tbb=2021.7.0=h924138e_1 - tblib=1.7.0=pyhd8ed1ab_0 - tenacity=8.1.0=pyhd8ed1ab_0 - threadpoolctl=3.1.0=pyh8a188c0_0 - toolz=0.12.0=pyhd8ed1ab_0 - - traitlets=5.5.0=pyhd8ed1ab_0 + - tornado=6.1=py310h5764c6d_3 + - traitlets=5.7.1=pyhd8ed1ab_0 - typing_extensions=4.4.0=pyha770c72_0 + - unicodedata2=15.0.0=py310h5764c6d_0 - utm=0.7.0=pyhd8ed1ab_0 - webencodings=0.5.1=py_1 - - websocket-client=1.4.1=pyhd8ed1ab_0 - - wheel=0.37.1=pyhd8ed1ab_0 + - websocket-client=1.4.2=pyhd8ed1ab_0 + - wheel=0.38.4=pyhd8ed1ab_0 - xorg-libxext=1.3.4=h7f98852_1 - xorg-libxrender=0.9.10=h7f98852_1003 - - zipp=3.10.0=pyhd8ed1ab_0 + - zipp=3.11.0=pyhd8ed1ab_0 - ansi2html=1.8.0=py310hff52083_1 - anyio=3.6.2=pyhd8ed1ab_0 - - asttokens=2.1.0=pyhd8ed1ab_0 + - asttokens=2.2.1=pyhd8ed1ab_0 - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 - beautifulsoup4=4.11.1=pyha770c72_0 - - brotli-python=1.0.9=py310hd8f1fbe_8 + - bleach=5.0.1=pyhd8ed1ab_0 - brunsli=0.1=h9c3ff4c_0 - cached-property=1.5.2=hd8ed1ab_1 - cairo=1.16.0=ha61ee94_1014 - cffi=1.15.1=py310h255011f_2 - - cfitsio=4.1.0=hd9d235c_0 + - cfitsio=4.2.0=hd9d235c_0 - click-plugins=1.1.1=py_0 - cligj=0.7.2=pyhd8ed1ab_1 - - curl=7.86.0=h2283fc2_0 + - comm=0.1.2=pyhd8ed1ab_0 + - curl=7.86.0=h2283fc2_1 - cytoolz=0.12.0=py310h5764c6d_1 - - debugpy=1.6.3=py310hd8f1fbe_1 + - fonttools=4.38.0=py310h5764c6d_1 - hdf5=1.12.2=nompi_h4df4325_100 - - importlib-metadata=5.0.0=pyha770c72_1 - - importlib_resources=5.10.0=pyhd8ed1ab_0 - - jedi=0.18.1=pyhd8ed1ab_2 + - importlib-metadata=5.1.0=pyha770c72_0 + - importlib_resources=5.10.1=pyhd8ed1ab_0 + - jedi=0.18.2=pyhd8ed1ab_0 + - jinja2=3.1.2=pyhd8ed1ab_1 - joblib=1.2.0=pyhd8ed1ab_0 - - jupyter_core=4.11.1=py310hff52083_1 - - kiwisolver=1.4.4=py310hbf28c38_1 - - libcblas=3.9.0=16_linux64_mkl - - liblapack=3.9.0=16_linux64_mkl - - llvmlite=0.39.1=py310h58363a5_1 - - markupsafe=2.1.1=py310h5764c6d_2 + - jupyter_core=5.1.0=py310hff52083_0 - matplotlib-inline=0.1.6=pyhd8ed1ab_0 - - msgpack-python=1.0.4=py310hbf28c38_1 + - mkl=2022.2.1=h84fe81f_16997 - munch=2.5.0=py_0 - - packaging=21.3=pyhd8ed1ab_0 - partd=1.3.0=pyhd8ed1ab_0 - pexpect=4.8.0=pyh1a96a4e_2 - pillow=9.2.0=py310h454ad03_3 - - pip=22.3=pyhd8ed1ab_0 - - plotly=5.11.0=pyhd8ed1ab_0 - - postgresql=14.5=ha105346_1 + - pip=22.3.1=pyhd8ed1ab_0 + - plotly=5.11.0=pyhd8ed1ab_1 + - postgresql=15.1=ha105346_1 - proj=9.1.0=h93bde94_0 - - psutil=5.9.3=py310h5764c6d_1 - pygments=2.13.0=pyhd8ed1ab_0 - - pyrsistent=0.18.1=py310h5764c6d_2 - python-dateutil=2.8.2=pyhd8ed1ab_0 - - pyyaml=6.0=py310h5764c6d_5 - - pyzmq=24.0.1=py310h330234f_1 - retrying=1.3.3=py_2 + - terminado=0.17.1=pyh41d4057_0 - tinycss2=1.2.1=pyhd8ed1ab_0 - - tornado=6.1=py310h5764c6d_3 - tqdm=4.64.1=pyhd8ed1ab_0 - typing-extensions=4.4.0=hd8ed1ab_0 - - unicodedata2=15.0.0=py310h5764c6d_0 + - werkzeug=2.2.2=pyhd8ed1ab_0 - xerces-c=3.2.4=h55805fa_1 - zict=2.2.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py310h5764c6d_3 - - bleach=5.0.1=pyhd8ed1ab_0 - brotlipy=0.7.0=py310h5764c6d_1005 - - cryptography=38.0.2=py310h600f1e7_2 + - cryptography=38.0.4=py310h600f1e7_0 - dask-core=2022.10.0=pyhd8ed1ab_2 - - fonttools=4.38.0=py310h5764c6d_1 + - flask=2.2.2=pyhd8ed1ab_0 - geotiff=1.7.1=ha76d385_4 - - jinja2=3.1.2=pyhd8ed1ab_1 - - jsonschema=4.16.0=pyhd8ed1ab_0 + - jsonschema=4.17.3=pyhd8ed1ab_0 - jupyter_client=7.3.4=pyhd8ed1ab_0 - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 - - kealib=1.4.15=ha7026e8_1 - - libdap4=3.20.6=hd7c4107_2 + - kealib=1.5.0=ha7026e8_0 + - libblas=3.9.0=16_linux64_mkl - libnetcdf=4.8.1=nompi_h261ec11_106 - - libspatialite=5.0.1=hfbd986c_21 - - numpy=1.23.4=py310h53a5b5f_1 - - poppler=22.10.0=h92391eb_0 - - stack_data=0.6.0=pyhd8ed1ab_0 - - terminado=0.17.0=pyh41d4057_0 - - tiledb=2.11.3=h3f4058f_1 + - libspatialite=5.0.1=h7c8129e_22 + - poppler=22.12.0=h92391eb_0 + - stack_data=0.6.2=pyhd8ed1ab_0 + - tiledb=2.13.0=h3f4058f_0 - wcwidth=0.2.5=pyh9f0ad1d_2 - - werkzeug=2.2.2=pyhd8ed1ab_0 - argon2-cffi=21.3.0=pyhd8ed1ab_0 + - flask-compress=1.13=pyhd8ed1ab_0 + - libcblas=3.9.0=16_linux64_mkl + - libgdal=3.6.0=h4fca5ce_14 + - liblapack=3.9.0=16_linux64_mkl + - nbformat=5.7.0=pyhd8ed1ab_0 + - prompt-toolkit=3.0.36=pyha770c72_0 + - pyopenssl=22.1.0=pyhd8ed1ab_0 + - dash=2.7.1=pyhd8ed1ab_0 + - ipython=8.7.0=pyh41d4057_0 + - nbclient=0.7.2=pyhd8ed1ab_0 + - numpy=1.23.5=py310h53a5b5f_0 + - urllib3=1.26.13=pyhd8ed1ab_0 - contourpy=1.0.6=py310hbf28c38_0 - - flask=2.2.2=pyhd8ed1ab_0 + - dash-daq=0.5.0=pyh9f0ad1d_1 + - distributed=2022.10.0=pyhd8ed1ab_2 + - gdal=3.6.0=py310hc1b7723_14 - h5py=3.7.0=nompi_py310h416281c_102 - - imagecodecs=2022.9.26=py310h90cd304_3 - - imageio=2.22.0=pyhfa7a67d_0 - - libgdal=3.5.3=h27ae5c1_0 - - nbformat=5.7.0=pyhd8ed1ab_0 - - numba=0.56.3=py310ha5257ce_0 + - imagecodecs=2022.9.26=py310h543e91f_4 + - imageio=2.22.4=pyhfa7a67d_1 + - ipykernel=6.19.2=pyh210e3f2_0 + - nbconvert-core=7.2.6=pyhd8ed1ab_0 + - numba=0.56.4=py310ha5257ce_0 - numcodecs=0.10.2=py310hd8f1fbe_0 - - pandas=1.5.1=py310h769672d_1 - - prompt-toolkit=3.0.31=pyha770c72_0 - - pyopenssl=22.1.0=pyhd8ed1ab_0 + - pandas=1.5.2=py310h769672d_0 - pywavelets=1.3.0=py310hde88566_2 - - scipy=1.9.3=py310hdfbd76f_1 - - shapely=1.8.5=py310h5e49deb_1 + - scipy=1.9.3=py310hdfbd76f_2 + - shapely=2.0.0=py310h8b84c32_0 - vectormath=0.2.2=py_0 - discretize=0.7.4=py310hc4a4660_0 - empymod=2.2.1=pyhd8ed1ab_0 - - flask-compress=1.13=pyhd8ed1ab_0 - - gdal=3.5.3=py310he53f9b6_0 - - ipython=8.6.0=pyh41d4057_1 - - matplotlib-base=3.6.1=py310h8d5ebf3_1 - - nbclient=0.7.0=pyhd8ed1ab_0 + - fiona=1.8.22=py310ha325b7b_3 + - jupyter-dash=0.4.2=pyhd8ed1ab_1 + - jupyter_server=1.23.3=pyhd8ed1ab_0 + - matplotlib-base=3.6.2=py310h8d5ebf3_0 + - nbconvert-pandoc=7.2.6=pyhd8ed1ab_0 - properties=0.6.1=py_0 - pydiso=0.0.3=py310h1dd1467_4 - - scikit-learn=1.1.3=py310h0c3af53_1 + - scikit-learn=1.2.0=py310h209a8ca_0 - tifffile=2022.10.10=pyhd8ed1ab_0 - - urllib3=1.26.11=pyhd8ed1ab_0 - zarr=2.13.3=pyhd8ed1ab_0 - - dash=2.6.2=pyhd8ed1ab_0 - - distributed=2022.10.0=pyhd8ed1ab_2 - - fiona=1.8.22=py310h60a68a4_1 - geoana=0.0.6=py_1 - - ipykernel=6.17.0=pyh210e3f2_0 - - nbconvert-core=7.2.3=pyhd8ed1ab_0 + - nbconvert=7.2.6=pyhd8ed1ab_0 + - notebook-shim=0.2.2=pyhd8ed1ab_0 - pymatsolver=0.2.0=pyhd8ed1ab_0 - scikit-image=0.19.3=py310h769672d_2 - - dash-daq=0.5.0=pyh9f0ad1d_1 - - jupyter-dash=0.4.2=pyhd8ed1ab_1 - - jupyter_server=1.21.0=pyhd8ed1ab_0 - - nbconvert-pandoc=7.2.3=pyhd8ed1ab_0 - - nbconvert=7.2.3=pyhd8ed1ab_0 - - notebook-shim=0.2.0=pyhd8ed1ab_0 - - nbclassic=0.4.5=pyhd8ed1ab_0 - - notebook=6.5.1=pyha770c72_0 + - nbclassic=0.4.8=pyhd8ed1ab_0 + - notebook=6.5.2=pyha770c72_1 - widgetsnbextension=3.6.1=pyha770c72_0 - ipywidgets=7.7.2=pyhd8ed1ab_0 - ipyfilechooser=0.6.0=pyhd8ed1ab_0 - pip: - geoh5py === 0.5.0 - simpeg-archive === 0.9.1.dev5 - - mira-simpeg === 0.15.1.dev6 + - mira-simpeg === 0.15.1.dev7 + - param-sweeps === 0.1.3 variables: KMP_WARNINGS: 0 diff --git a/environments/conda-py-3.10-osx-64-dev.lock.yml b/environments/conda-py-3.10-osx-64-dev.lock.yml index 97b1a305c..c42fb918e 100644 --- a/environments/conda-py-3.10-osx-64-dev.lock.yml +++ b/environments/conda-py-3.10-osx-64-dev.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: osx-64 -# input_hash: 1f05b7c5155875970fe47006f618e729183f6659eb0d66e5cdb6f71add761e41 +# input_hash: 3d8b1c43290898761ee9a03920accd858c08b4561b97be76353d9d621db00368 channels: - conda-forge @@ -8,7 +8,7 @@ channels: dependencies: - bzip2=1.0.8=h0d85af4_4 - c-ares=1.18.1=h0d85af4_0 - - ca-certificates=2022.9.24=h033912b_0 + - ca-certificates=2022.12.7=h033912b_0 - dav1d=1.0.0=hac89ed1_1 - font-ttf-dejavu-sans-mono=2.37=hab24e00_0 - font-ttf-inconsolata=3.000=h77eed37_0 @@ -28,14 +28,15 @@ dependencies: - libsodium=1.0.18=hbcb3906_1 - libwebp-base=1.2.4=h775f41a_0 - libzlib=1.2.13=hfd90126_4 - - llvm-openmp=14.0.4=ha654fa7_0 + - llvm-openmp=15.0.6=h61d9ccf_0 - ncurses=6.3=h96cf925_1 - pandoc=2.19.2=h694c41f_1 - pixman=0.40.0=hbcb3906_0 - poppler-data=0.4.11=hd8ed1ab_0 - pthread-stubs=0.4=hc929b4f_1001 - - tzcode=2022e=hb7f2c08_0 - - tzdata=2022f=h191b570_0 + - python_abi=3.10=3_cp310 + - tzcode=2022g=hb7f2c08_0 + - tzdata=2022g=h191b570_0 - xorg-libxau=1.0.9=h35c211d_0 - xorg-libxdmcp=1.1.3=h35c211d_0 - xz=5.2.6=h775f41a_0 @@ -45,7 +46,7 @@ dependencies: - charls=2.3.4=he49afe7_0 - expat=2.5.0=hf0c8a7f_0 - fonts-conda-forge=1=0 - - geos=3.11.0=hb486fe8_0 + - geos=3.11.1=hf0c8a7f_0 - gettext=0.21.1=h8a4c099_0 - icu=70.1=h96cf925_0 - lerc=4.0.0=hb486fe8_0 @@ -53,68 +54,71 @@ dependencies: - libbrotlidec=1.0.9=hb7f2c08_8 - libbrotlienc=1.0.9=hb7f2c08_8 - libedit=3.1.20191231=h0678c8f_2 - - libgfortran5=11.3.0=h082f757_25 + - libgfortran5=11.3.0=h082f757_26 - libllvm11=11.1.0=h8fb7429_5 - - libpng=1.6.38=ha978bb4_0 - - libsqlite=3.39.4=ha978bb4_0 + - libpng=1.6.39=ha978bb4_0 + - libsqlite=3.40.0=ha978bb4_0 - libxcb=1.13=h0d85af4_1004 - libzopfli=1.0.3=h046ec9c_0 - lz4-c=1.9.3=he49afe7_1 - - nspr=4.32=hcd9eead_1 - - openssl=3.0.7=hfd90126_0 - - pcre=8.45=he49afe7_0 - - pcre2=10.37=h3f55489_1 + - nspr=4.35=hea0b92c_0 + - openssl=3.0.7=hfd90126_1 + - pcre2=10.40=h1c4e4bc_0 + - qhull=2020.2=h940c156_2 - readline=8.1.2=h3899abd_0 - - snappy=1.1.9=h6e38e02_1 - - tbb=2021.6.0=hb8565cd_1 + - snappy=1.1.9=h225ccf5_2 + - tbb=2021.7.0=hb8565cd_1 - tk=8.6.12=h5dbffcc_0 - zeromq=4.3.4=he49afe7_1 - zfp=1.0.0=ha894c9a_3 - zlib=1.2.13=hfd90126_4 - zstd=1.5.2=hfa58983_4 - - blosc=1.21.1=h97e831e_3 + - blosc=1.21.2=hebb52c4_0 - boost-cpp=1.78.0=h8b082ac_1 - brotli-bin=1.0.9=hb7f2c08_8 - - c-blosc2=2.4.3=had5f71b_0 + - c-blosc2=2.6.0=had5f71b_0 - fonts-conda-ecosystem=1=0 - - freetype=2.12.1=h3f81eb7_0 + - freetype=2.12.1=h3f81eb7_1 - hdf4=4.2.15=h7aa5921_5 - krb5=1.19.3=hb98e516_0 - libavif=0.11.1=he9a59b1_0 - - libgfortran=5.0.0=10_4_0_h97931a8_25 - - libglib=2.74.1=h3ba3332_0 + - libgfortran=5.0.0=9_5_0_h97931a8_26 + - libglib=2.74.1=h4c723e1_1 - libnghttp2=1.47.0=h5aae05b_1 - - librttopo=1.1.0=he07d8f5_11 + - librttopo=1.1.0=h9461dca_12 - libssh2=1.10.0=h47af595_3 - libtiff=4.4.0=hdb44e8a_4 - libxml2=2.10.3=hb9e07b5_0 - libzip=1.9.2=h6db710c_1 - - mkl=2022.1.0=h860c996_928 - - python=3.10.6=hc14f532_0_cpython - - sqlite=3.39.4=h9ae0607_0 + - mkl=2022.2.1=h44ed08c_16952 + - python=3.10.8=he7542f4_0_cpython + - sqlite=3.40.0=h9ae0607_0 + - _ipython_minor_entry_point=8.7.0=hb6b4a82_0 - appnope=0.1.3=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - attrs=22.1.0=pyh71513ae_1 - backcall=0.2.0=pyh9f0ad1d_0 - - backports=1.0=py_2 + - backports=1.0=pyhd8ed1ab_3 - brotli=1.0.9=hb7f2c08_8 + - brotli-python=1.0.9=py310h7a76584_8 - cached_property=1.5.2=pyha770c72_1 - - certifi=2022.9.24=pyhd8ed1ab_0 + - certifi=2022.12.7=pyhd8ed1ab_0 - charset-normalizer=2.1.1=pyhd8ed1ab_0 - click=8.1.3=unix_pyhd8ed1ab_2 - cloudpickle=2.2.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 - cycler=0.11.0=pyhd8ed1ab_0 + - debugpy=1.6.4=py310h7a76584_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - dill=0.3.6=pyhd8ed1ab_1 - entrypoints=0.4=pyhd8ed1ab_0 - - exceptiongroup=1.0.0=pyhd8ed1ab_0 + - exceptiongroup=1.0.4=pyhd8ed1ab_0 - executing=1.2.0=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - flit-core=3.7.1=pyhd8ed1ab_0 + - flit-core=3.8.0=pyhd8ed1ab_0 - fontconfig=2.14.1=h5bb23bf_0 - - fsspec=2022.10.0=pyhd8ed1ab_0 + - fsspec=2022.11.0=pyhd8ed1ab_0 - future=0.18.2=pyhd8ed1ab_6 - heapdict=1.0.1=py_0 - idna=3.4=pyhd8ed1ab_0 @@ -122,36 +126,45 @@ dependencies: - ipython_genutils=0.2.0=py_1 - itsdangerous=2.1.2=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.1=pyhd8ed1ab_0 + - kiwisolver=1.4.4=py310ha23aa8a_1 + - lazy-object-proxy=1.8.0=py310h90acd4f_0 - lcms2=2.14=h90f4b2a_0 - libblas=3.9.0=16_osx64_mkl - - libcurl=7.86.0=h581aaea_0 + - libcurl=7.86.0=h581aaea_1 - libkml=1.3.0=haeb80ef_1015 - - libpq=14.5=hd79e848_1 + - libpq=15.1=hb1ae2b1_1 + - llvmlite=0.39.1=py310h2bfb868_1 - locket=1.0.0=pyhd8ed1ab_0 + - markupsafe=2.1.1=py310h90acd4f_2 - mccabe=0.7.0=pyhd8ed1ab_0 - mistune=2.0.4=pyhd8ed1ab_0 + - msgpack-python=1.0.4=py310ha23aa8a_1 - munkres=1.1.4=pyh9f0ad1d_0 - nest-asyncio=1.5.6=pyhd8ed1ab_0 - - networkx=2.8.7=pyhd8ed1ab_0 + - networkx=2.8.8=pyhd8ed1ab_0 - nss=3.78=ha8197d3_0 - openjpeg=2.5.0=h5d0d7b0_1 + - packaging=22.0=pyhd8ed1ab_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.3=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0 - - platformdirs=2.5.2=pyhd8ed1ab_1 + - platformdirs=2.6.0=pyhd8ed1ab_0 - pluggy=1.0.0=pyhd8ed1ab_5 - prometheus_client=0.15.0=pyhd8ed1ab_0 + - psutil=5.9.4=py310h90acd4f_0 - ptyprocess=0.7.0=pyhd3deb0d_0 - pure_eval=0.2.2=pyhd8ed1ab_0 - pycparser=2.21=pyhd8ed1ab_0 - pyparsing=3.0.9=pyhd8ed1ab_0 + - pyrsistent=0.19.2=py310h90acd4f_0 - pysocks=1.7.1=pyha2e5f31_6 - python-fastjsonschema=2.16.2=pyhd8ed1ab_0 - - python_abi=3.10=2_cp310 - - pytz=2022.5=pyhd8ed1ab_0 + - pytz=2022.6=pyhd8ed1ab_0 + - pyyaml=6.0=py310h90acd4f_5 + - pyzmq=24.0.1=py310hf615a82_1 - send2trash=1.8.0=pyhd8ed1ab_0 - - setuptools=65.5.0=pyhd8ed1ab_0 + - setuptools=65.5.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.0=pyhd8ed1ab_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 @@ -162,151 +175,140 @@ dependencies: - toml=0.10.2=pyhd8ed1ab_0 - tomli=2.0.1=pyhd8ed1ab_0 - toolz=0.12.0=pyhd8ed1ab_0 - - traitlets=5.5.0=pyhd8ed1ab_0 + - tornado=6.1=py310h1961e1f_3 + - traitlets=5.7.1=pyhd8ed1ab_0 - typing=3.10.0.0=pyhd8ed1ab_0 - typing_extensions=4.4.0=pyha770c72_0 + - unicodedata2=15.0.0=py310h90acd4f_0 - utm=0.7.0=pyhd8ed1ab_0 - webencodings=0.5.1=py_1 - - websocket-client=1.4.1=pyhd8ed1ab_0 - - wheel=0.37.1=pyhd8ed1ab_0 - - zipp=3.10.0=pyhd8ed1ab_0 + - websocket-client=1.4.2=pyhd8ed1ab_0 + - wheel=0.38.4=pyhd8ed1ab_0 + - wrapt=1.14.1=py310h90acd4f_1 + - zipp=3.11.0=pyhd8ed1ab_0 - ansi2html=1.8.0=py310h2ec42d9_1 - anyio=3.6.2=pyhd8ed1ab_0 - - asttokens=2.1.0=pyhd8ed1ab_0 + - astroid=2.12.13=py310h2ec42d9_0 + - asttokens=2.2.1=pyhd8ed1ab_0 - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 - beautifulsoup4=4.11.1=pyha770c72_0 - - brotli-python=1.0.9=py310h7a76584_8 + - bleach=5.0.1=pyhd8ed1ab_0 - brunsli=0.1=h046ec9c_0 - cached-property=1.5.2=hd8ed1ab_1 - cairo=1.16.0=h904041c_1014 - cffi=1.15.1=py310ha78151a_2 - - cfitsio=4.1.0=h2c97ad1_0 + - cfitsio=4.2.0=hd56cc12_0 - click-plugins=1.1.1=py_0 - cligj=0.7.2=pyhd8ed1ab_1 + - comm=0.1.2=pyhd8ed1ab_0 - coverage=6.5.0=py310h90acd4f_1 - - curl=7.86.0=h581aaea_0 + - curl=7.86.0=h581aaea_1 - cytoolz=0.12.0=py310h90acd4f_1 - - debugpy=1.6.3=py310h7a76584_1 + - fonttools=4.38.0=py310h90acd4f_1 - hdf5=1.12.2=nompi_h1f71328_100 - - importlib-metadata=5.0.0=pyha770c72_1 - - importlib_resources=5.10.0=pyhd8ed1ab_0 - - isort=5.10.1=pyhd8ed1ab_0 - - jedi=0.18.1=pyhd8ed1ab_2 + - importlib-metadata=5.1.0=pyha770c72_0 + - importlib_resources=5.10.1=pyhd8ed1ab_0 + - isort=5.11.1=pyhd8ed1ab_0 + - jedi=0.18.2=pyhd8ed1ab_0 + - jinja2=3.1.2=pyhd8ed1ab_1 - joblib=1.2.0=pyhd8ed1ab_0 - - jupyter_core=4.11.1=py310h2ec42d9_1 - - kiwisolver=1.4.4=py310ha23aa8a_1 - - lazy-object-proxy=1.8.0=py310h90acd4f_0 + - jupyter_core=5.1.0=py310h2ec42d9_0 - libcblas=3.9.0=16_osx64_mkl - liblapack=3.9.0=16_osx64_mkl - - llvmlite=0.39.1=py310h2bfb868_1 - - markupsafe=2.1.1=py310h90acd4f_2 - matplotlib-inline=0.1.6=pyhd8ed1ab_0 - - msgpack-python=1.0.4=py310ha23aa8a_1 - munch=2.5.0=py_0 - - packaging=21.3=pyhd8ed1ab_0 - partd=1.3.0=pyhd8ed1ab_0 - pexpect=4.8.0=pyh1a96a4e_2 - pillow=9.2.0=py310hffcf78b_3 - - pip=22.3=pyhd8ed1ab_0 - - plotly=5.11.0=pyhd8ed1ab_0 - - postgresql=14.5=hae21482_1 + - pip=22.3.1=pyhd8ed1ab_0 + - plotly=5.11.0=pyhd8ed1ab_1 + - postgresql=15.1=hae21482_1 - proj=9.1.0=hcbd9701_0 - - psutil=5.9.3=py310h90acd4f_1 - pygments=2.13.0=pyhd8ed1ab_0 - - pyrsistent=0.18.1=py310h90acd4f_2 + - pytest=7.2.0=pyhd8ed1ab_2 - python-dateutil=2.8.2=pyhd8ed1ab_0 - - pyyaml=6.0=py310h90acd4f_5 - - pyzmq=24.0.1=py310hf615a82_1 - retrying=1.3.3=py_2 + - terminado=0.17.1=pyhd1c38e8_0 - tinycss2=1.2.1=pyhd8ed1ab_0 - tomlkit=0.11.6=pyha770c72_0 - - tornado=6.1=py310h1961e1f_3 - tqdm=4.64.1=pyhd8ed1ab_0 - typing-extensions=4.4.0=hd8ed1ab_0 - - unicodedata2=15.0.0=py310h90acd4f_0 - - wrapt=1.14.1=py310h90acd4f_1 + - werkzeug=2.2.2=pyhd8ed1ab_0 - xerces-c=3.2.4=h2007e90_1 - zict=2.2.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py310h90acd4f_3 - - astroid=2.12.12=py310h2ec42d9_1 - - bleach=5.0.1=pyhd8ed1ab_0 - brotlipy=0.7.0=py310h90acd4f_1005 - - cryptography=38.0.2=py310hdd0c95c_2 + - cryptography=38.0.4=py310hdd0c95c_0 - dask-core=2022.10.0=pyhd8ed1ab_2 - - fonttools=4.38.0=py310h90acd4f_1 + - flask=2.2.2=pyhd8ed1ab_0 - geotiff=1.7.1=he29fd1c_4 - - jinja2=3.1.2=pyhd8ed1ab_1 - - jsonschema=4.16.0=pyhd8ed1ab_0 + - jsonschema=4.17.3=pyhd8ed1ab_0 - jupyter_client=7.3.4=pyhd8ed1ab_0 - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 - - kealib=1.4.15=h51f5cc1_1 - - libdap4=3.20.6=h3e144a0_2 + - kealib=1.5.0=h5c1f988_0 - libnetcdf=4.8.1=nompi_hc61b76e_106 - - libspatialite=5.0.1=h778c766_21 - - numpy=1.23.4=py310h1b7c290_1 - - poppler=22.10.0=hf2ff1a1_0 - - pytest=7.2.0=pyhd8ed1ab_2 - - stack_data=0.6.0=pyhd8ed1ab_0 - - terminado=0.17.0=pyhd1c38e8_0 - - tiledb=2.11.3=h8b9cbf0_1 + - libspatialite=5.0.1=hc1c2c66_22 + - numpy=1.23.5=py310h1b7c290_0 + - poppler=22.12.0=hf2ff1a1_0 + - pylint=2.15.8=pyhd8ed1ab_0 + - pytest-cov=3.0.0=pyhd8ed1ab_0 + - stack_data=0.6.2=pyhd8ed1ab_0 + - tiledb=2.13.0=h8b9cbf0_0 - wcwidth=0.2.5=pyh9f0ad1d_2 - - werkzeug=2.2.2=pyhd8ed1ab_0 - argon2-cffi=21.3.0=pyhd8ed1ab_0 - contourpy=1.0.6=py310ha23aa8a_0 - - flask=2.2.2=pyhd8ed1ab_0 + - flask-compress=1.13=pyhd8ed1ab_0 - h5py=3.7.0=nompi_py310h5555e59_102 - - imagecodecs=2022.9.26=py310h79a1b8a_3 - - imageio=2.22.0=pyhfa7a67d_0 - - libgdal=3.5.3=h9ab8fee_0 + - imagecodecs=2022.9.26=py310h86b898b_4 + - imageio=2.22.4=pyhfa7a67d_1 + - libgdal=3.6.0=h03944e0_14 - nbformat=5.7.0=pyhd8ed1ab_0 - - numba=0.56.3=py310h62db5c2_0 + - numba=0.56.4=py310h62db5c2_0 - numcodecs=0.10.2=py310h154be8b_0 - - pandas=1.5.1=py310hecf8f37_1 - - prompt-toolkit=3.0.31=pyha770c72_0 - - pylint=2.15.5=pyhd8ed1ab_0 + - pandas=1.5.2=py310hecf8f37_0 + - prompt-toolkit=3.0.36=pyha770c72_0 - pyopenssl=22.1.0=pyhd8ed1ab_0 - - pytest-cov=3.0.0=pyhd8ed1ab_0 - pywavelets=1.3.0=py310h936d966_2 - - scipy=1.9.3=py310h240c617_1 - - shapely=1.8.5=py310hd79a494_1 + - scipy=1.9.3=py310h240c617_2 + - shapely=2.0.0=py310h4e43f2a_0 - vectormath=0.2.2=py_0 + - dash=2.7.1=pyhd8ed1ab_0 - discretize=0.7.4=py310h84c6d00_0 - empymod=2.2.1=pyhd8ed1ab_0 - - flask-compress=1.13=pyhd8ed1ab_0 - - gdal=3.5.3=py310h5abc6fc_0 - - ipython=8.6.0=pyhd1c38e8_1 - - matplotlib-base=3.6.1=py310he725631_1 - - nbclient=0.7.0=pyhd8ed1ab_0 + - gdal=3.6.0=py310h5abc6fc_14 + - ipython=8.7.0=pyhd1c38e8_0 + - matplotlib-base=3.6.2=py310he725631_0 + - nbclient=0.7.2=pyhd8ed1ab_0 - properties=0.6.1=py_0 - pydiso=0.0.3=py310he105d0e_4 - - scikit-learn=1.1.3=py310hcebe997_1 + - scikit-learn=1.2.0=py310hcebe997_0 - tifffile=2022.10.10=pyhd8ed1ab_0 - - urllib3=1.26.11=pyhd8ed1ab_0 + - urllib3=1.26.13=pyhd8ed1ab_0 - zarr=2.13.3=pyhd8ed1ab_0 - - dash=2.6.2=pyhd8ed1ab_0 + - dash-daq=0.5.0=pyh9f0ad1d_1 - distributed=2022.10.0=pyhd8ed1ab_2 - - fiona=1.8.22=py310h5a14c0a_1 + - fiona=1.8.22=py310h3963e5c_3 - geoana=0.0.6=py_1 - - ipykernel=6.17.0=pyh736e0ef_0 - - nbconvert-core=7.2.3=pyhd8ed1ab_0 + - ipykernel=6.19.2=pyh736e0ef_0 + - nbconvert-core=7.2.6=pyhd8ed1ab_0 - pymatsolver=0.2.0=pyhd8ed1ab_0 - requests=2.28.1=pyhd8ed1ab_1 - scikit-image=0.19.3=py310hecf8f37_2 - - dash-daq=0.5.0=pyh9f0ad1d_1 - jupyter-dash=0.4.2=pyhd8ed1ab_1 - - jupyter_server=1.21.0=pyhd8ed1ab_0 - - nbconvert-pandoc=7.2.3=pyhd8ed1ab_0 - - nbconvert=7.2.3=pyhd8ed1ab_0 - - notebook-shim=0.2.0=pyhd8ed1ab_0 - - nbclassic=0.4.5=pyhd8ed1ab_0 - - notebook=6.5.1=pyha770c72_0 + - jupyter_server=1.23.3=pyhd8ed1ab_0 + - nbconvert-pandoc=7.2.6=pyhd8ed1ab_0 + - nbconvert=7.2.6=pyhd8ed1ab_0 + - notebook-shim=0.2.2=pyhd8ed1ab_0 + - nbclassic=0.4.8=pyhd8ed1ab_0 + - notebook=6.5.2=pyha770c72_1 - widgetsnbextension=3.6.1=pyha770c72_0 - ipywidgets=7.7.2=pyhd8ed1ab_0 - ipyfilechooser=0.6.0=pyhd8ed1ab_0 - pip: - geoh5py === 0.5.0 - simpeg-archive === 0.9.1.dev5 - - mira-simpeg === 0.15.1.dev6 + - mira-simpeg === 0.15.1.dev7 + - param-sweeps === 0.1.3 variables: KMP_WARNINGS: 0 diff --git a/environments/conda-py-3.10-osx-64.lock.yml b/environments/conda-py-3.10-osx-64.lock.yml index 1d028e7cd..17b315610 100644 --- a/environments/conda-py-3.10-osx-64.lock.yml +++ b/environments/conda-py-3.10-osx-64.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: osx-64 -# input_hash: 1f05b7c5155875970fe47006f618e729183f6659eb0d66e5cdb6f71add761e41 +# input_hash: 3d8b1c43290898761ee9a03920accd858c08b4561b97be76353d9d621db00368 channels: - conda-forge @@ -8,7 +8,7 @@ channels: dependencies: - bzip2=1.0.8=h0d85af4_4 - c-ares=1.18.1=h0d85af4_0 - - ca-certificates=2022.9.24=h033912b_0 + - ca-certificates=2022.12.7=h033912b_0 - dav1d=1.0.0=hac89ed1_1 - font-ttf-dejavu-sans-mono=2.37=hab24e00_0 - font-ttf-inconsolata=3.000=h77eed37_0 @@ -28,14 +28,15 @@ dependencies: - libsodium=1.0.18=hbcb3906_1 - libwebp-base=1.2.4=h775f41a_0 - libzlib=1.2.13=hfd90126_4 - - llvm-openmp=14.0.4=ha654fa7_0 + - llvm-openmp=15.0.6=h61d9ccf_0 - ncurses=6.3=h96cf925_1 - pandoc=2.19.2=h694c41f_1 - pixman=0.40.0=hbcb3906_0 - poppler-data=0.4.11=hd8ed1ab_0 - pthread-stubs=0.4=hc929b4f_1001 - - tzcode=2022e=hb7f2c08_0 - - tzdata=2022f=h191b570_0 + - python_abi=3.10=3_cp310 + - tzcode=2022g=hb7f2c08_0 + - tzdata=2022g=h191b570_0 - xorg-libxau=1.0.9=h35c211d_0 - xorg-libxdmcp=1.1.3=h35c211d_0 - xz=5.2.6=h775f41a_0 @@ -45,7 +46,7 @@ dependencies: - charls=2.3.4=he49afe7_0 - expat=2.5.0=hf0c8a7f_0 - fonts-conda-forge=1=0 - - geos=3.11.0=hb486fe8_0 + - geos=3.11.1=hf0c8a7f_0 - gettext=0.21.1=h8a4c099_0 - icu=70.1=h96cf925_0 - lerc=4.0.0=hb486fe8_0 @@ -53,97 +54,108 @@ dependencies: - libbrotlidec=1.0.9=hb7f2c08_8 - libbrotlienc=1.0.9=hb7f2c08_8 - libedit=3.1.20191231=h0678c8f_2 - - libgfortran5=11.3.0=h082f757_25 + - libgfortran5=11.3.0=h082f757_26 - libllvm11=11.1.0=h8fb7429_5 - - libpng=1.6.38=ha978bb4_0 - - libsqlite=3.39.4=ha978bb4_0 + - libpng=1.6.39=ha978bb4_0 + - libsqlite=3.40.0=ha978bb4_0 - libxcb=1.13=h0d85af4_1004 - libzopfli=1.0.3=h046ec9c_0 - lz4-c=1.9.3=he49afe7_1 - - nspr=4.32=hcd9eead_1 - - openssl=3.0.7=hfd90126_0 - - pcre=8.45=he49afe7_0 - - pcre2=10.37=h3f55489_1 + - nspr=4.35=hea0b92c_0 + - openssl=3.0.7=hfd90126_1 + - pcre2=10.40=h1c4e4bc_0 + - qhull=2020.2=h940c156_2 - readline=8.1.2=h3899abd_0 - - snappy=1.1.9=h6e38e02_1 - - tbb=2021.6.0=hb8565cd_1 + - snappy=1.1.9=h225ccf5_2 + - tbb=2021.7.0=hb8565cd_1 - tk=8.6.12=h5dbffcc_0 - zeromq=4.3.4=he49afe7_1 - zfp=1.0.0=ha894c9a_3 - zlib=1.2.13=hfd90126_4 - zstd=1.5.2=hfa58983_4 - - blosc=1.21.1=h97e831e_3 + - blosc=1.21.2=hebb52c4_0 - boost-cpp=1.78.0=h8b082ac_1 - brotli-bin=1.0.9=hb7f2c08_8 - - c-blosc2=2.4.3=had5f71b_0 + - c-blosc2=2.6.0=had5f71b_0 - fonts-conda-ecosystem=1=0 - - freetype=2.12.1=h3f81eb7_0 + - freetype=2.12.1=h3f81eb7_1 - hdf4=4.2.15=h7aa5921_5 - krb5=1.19.3=hb98e516_0 - libavif=0.11.1=he9a59b1_0 - - libgfortran=5.0.0=10_4_0_h97931a8_25 - - libglib=2.74.1=h3ba3332_0 + - libgfortran=5.0.0=9_5_0_h97931a8_26 + - libglib=2.74.1=h4c723e1_1 - libnghttp2=1.47.0=h5aae05b_1 - - librttopo=1.1.0=he07d8f5_11 + - librttopo=1.1.0=h9461dca_12 - libssh2=1.10.0=h47af595_3 - libtiff=4.4.0=hdb44e8a_4 - libxml2=2.10.3=hb9e07b5_0 - libzip=1.9.2=h6db710c_1 - - mkl=2022.1.0=h860c996_928 - - python=3.10.6=hc14f532_0_cpython - - sqlite=3.39.4=h9ae0607_0 + - mkl=2022.2.1=h44ed08c_16952 + - python=3.10.8=he7542f4_0_cpython + - sqlite=3.40.0=h9ae0607_0 + - _ipython_minor_entry_point=8.7.0=hb6b4a82_0 - appnope=0.1.3=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - backcall=0.2.0=pyh9f0ad1d_0 - - backports=1.0=py_2 + - backports=1.0=pyhd8ed1ab_3 - brotli=1.0.9=hb7f2c08_8 + - brotli-python=1.0.9=py310h7a76584_8 - cached_property=1.5.2=pyha770c72_1 - - certifi=2022.9.24=pyhd8ed1ab_0 + - certifi=2022.12.7=pyhd8ed1ab_0 - click=8.1.3=unix_pyhd8ed1ab_2 - cloudpickle=2.2.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 - cycler=0.11.0=pyhd8ed1ab_0 + - debugpy=1.6.4=py310h7a76584_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - entrypoints=0.4=pyhd8ed1ab_0 - executing=1.2.0=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - flit-core=3.7.1=pyhd8ed1ab_0 + - flit-core=3.8.0=pyhd8ed1ab_0 - fontconfig=2.14.1=h5bb23bf_0 - - fsspec=2022.10.0=pyhd8ed1ab_0 + - fsspec=2022.11.0=pyhd8ed1ab_0 - future=0.18.2=pyhd8ed1ab_6 - heapdict=1.0.1=py_0 - idna=3.4=pyhd8ed1ab_0 - ipython_genutils=0.2.0=py_1 - itsdangerous=2.1.2=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.1=pyhd8ed1ab_0 + - kiwisolver=1.4.4=py310ha23aa8a_1 - lcms2=2.14=h90f4b2a_0 - libblas=3.9.0=16_osx64_mkl - - libcurl=7.86.0=h581aaea_0 + - libcurl=7.86.0=h581aaea_1 - libkml=1.3.0=haeb80ef_1015 - - libpq=14.5=hd79e848_1 + - libpq=15.1=hb1ae2b1_1 + - llvmlite=0.39.1=py310h2bfb868_1 - locket=1.0.0=pyhd8ed1ab_0 + - markupsafe=2.1.1=py310h90acd4f_2 - mistune=2.0.4=pyhd8ed1ab_0 + - msgpack-python=1.0.4=py310ha23aa8a_1 - munkres=1.1.4=pyh9f0ad1d_0 - nest-asyncio=1.5.6=pyhd8ed1ab_0 - - networkx=2.8.7=pyhd8ed1ab_0 + - networkx=2.8.8=pyhd8ed1ab_0 - nss=3.78=ha8197d3_0 - openjpeg=2.5.0=h5d0d7b0_1 + - packaging=22.0=pyhd8ed1ab_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.3=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0 - prometheus_client=0.15.0=pyhd8ed1ab_0 + - psutil=5.9.4=py310h90acd4f_0 - ptyprocess=0.7.0=pyhd3deb0d_0 - pure_eval=0.2.2=pyhd8ed1ab_0 - pycparser=2.21=pyhd8ed1ab_0 - pyparsing=3.0.9=pyhd8ed1ab_0 + - pyrsistent=0.19.2=py310h90acd4f_0 - pysocks=1.7.1=pyha2e5f31_6 - python-fastjsonschema=2.16.2=pyhd8ed1ab_0 - - python_abi=3.10=2_cp310 - - pytz=2022.5=pyhd8ed1ab_0 + - pytz=2022.6=pyhd8ed1ab_0 + - pyyaml=6.0=py310h90acd4f_5 + - pyzmq=24.0.1=py310hf615a82_1 - send2trash=1.8.0=pyhd8ed1ab_0 - - setuptools=65.5.0=pyhd8ed1ab_0 + - setuptools=65.5.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.0=pyhd8ed1ab_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 @@ -152,140 +164,130 @@ dependencies: - tenacity=8.1.0=pyhd8ed1ab_0 - threadpoolctl=3.1.0=pyh8a188c0_0 - toolz=0.12.0=pyhd8ed1ab_0 - - traitlets=5.5.0=pyhd8ed1ab_0 + - tornado=6.1=py310h1961e1f_3 + - traitlets=5.7.1=pyhd8ed1ab_0 - typing_extensions=4.4.0=pyha770c72_0 + - unicodedata2=15.0.0=py310h90acd4f_0 - utm=0.7.0=pyhd8ed1ab_0 - webencodings=0.5.1=py_1 - - websocket-client=1.4.1=pyhd8ed1ab_0 - - wheel=0.37.1=pyhd8ed1ab_0 - - zipp=3.10.0=pyhd8ed1ab_0 + - websocket-client=1.4.2=pyhd8ed1ab_0 + - wheel=0.38.4=pyhd8ed1ab_0 + - zipp=3.11.0=pyhd8ed1ab_0 - ansi2html=1.8.0=py310h2ec42d9_1 - anyio=3.6.2=pyhd8ed1ab_0 - - asttokens=2.1.0=pyhd8ed1ab_0 + - asttokens=2.2.1=pyhd8ed1ab_0 - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 - beautifulsoup4=4.11.1=pyha770c72_0 - - brotli-python=1.0.9=py310h7a76584_8 + - bleach=5.0.1=pyhd8ed1ab_0 - brunsli=0.1=h046ec9c_0 - cached-property=1.5.2=hd8ed1ab_1 - cairo=1.16.0=h904041c_1014 - cffi=1.15.1=py310ha78151a_2 - - cfitsio=4.1.0=h2c97ad1_0 + - cfitsio=4.2.0=hd56cc12_0 - click-plugins=1.1.1=py_0 - cligj=0.7.2=pyhd8ed1ab_1 - - curl=7.86.0=h581aaea_0 + - comm=0.1.2=pyhd8ed1ab_0 + - curl=7.86.0=h581aaea_1 - cytoolz=0.12.0=py310h90acd4f_1 - - debugpy=1.6.3=py310h7a76584_1 + - fonttools=4.38.0=py310h90acd4f_1 - hdf5=1.12.2=nompi_h1f71328_100 - - importlib-metadata=5.0.0=pyha770c72_1 - - importlib_resources=5.10.0=pyhd8ed1ab_0 - - jedi=0.18.1=pyhd8ed1ab_2 + - importlib-metadata=5.1.0=pyha770c72_0 + - importlib_resources=5.10.1=pyhd8ed1ab_0 + - jedi=0.18.2=pyhd8ed1ab_0 + - jinja2=3.1.2=pyhd8ed1ab_1 - joblib=1.2.0=pyhd8ed1ab_0 - - jupyter_core=4.11.1=py310h2ec42d9_1 - - kiwisolver=1.4.4=py310ha23aa8a_1 + - jupyter_core=5.1.0=py310h2ec42d9_0 - libcblas=3.9.0=16_osx64_mkl - liblapack=3.9.0=16_osx64_mkl - - llvmlite=0.39.1=py310h2bfb868_1 - - markupsafe=2.1.1=py310h90acd4f_2 - matplotlib-inline=0.1.6=pyhd8ed1ab_0 - - msgpack-python=1.0.4=py310ha23aa8a_1 - munch=2.5.0=py_0 - - packaging=21.3=pyhd8ed1ab_0 - partd=1.3.0=pyhd8ed1ab_0 - pexpect=4.8.0=pyh1a96a4e_2 - pillow=9.2.0=py310hffcf78b_3 - - pip=22.3=pyhd8ed1ab_0 - - plotly=5.11.0=pyhd8ed1ab_0 - - postgresql=14.5=hae21482_1 + - pip=22.3.1=pyhd8ed1ab_0 + - plotly=5.11.0=pyhd8ed1ab_1 + - postgresql=15.1=hae21482_1 - proj=9.1.0=hcbd9701_0 - - psutil=5.9.3=py310h90acd4f_1 - pygments=2.13.0=pyhd8ed1ab_0 - - pyrsistent=0.18.1=py310h90acd4f_2 - python-dateutil=2.8.2=pyhd8ed1ab_0 - - pyyaml=6.0=py310h90acd4f_5 - - pyzmq=24.0.1=py310hf615a82_1 - retrying=1.3.3=py_2 + - terminado=0.17.1=pyhd1c38e8_0 - tinycss2=1.2.1=pyhd8ed1ab_0 - - tornado=6.1=py310h1961e1f_3 - tqdm=4.64.1=pyhd8ed1ab_0 - typing-extensions=4.4.0=hd8ed1ab_0 - - unicodedata2=15.0.0=py310h90acd4f_0 + - werkzeug=2.2.2=pyhd8ed1ab_0 - xerces-c=3.2.4=h2007e90_1 - zict=2.2.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py310h90acd4f_3 - - bleach=5.0.1=pyhd8ed1ab_0 - brotlipy=0.7.0=py310h90acd4f_1005 - - cryptography=38.0.2=py310hdd0c95c_2 + - cryptography=38.0.4=py310hdd0c95c_0 - dask-core=2022.10.0=pyhd8ed1ab_2 - - fonttools=4.38.0=py310h90acd4f_1 + - flask=2.2.2=pyhd8ed1ab_0 - geotiff=1.7.1=he29fd1c_4 - - jinja2=3.1.2=pyhd8ed1ab_1 - - jsonschema=4.16.0=pyhd8ed1ab_0 + - jsonschema=4.17.3=pyhd8ed1ab_0 - jupyter_client=7.3.4=pyhd8ed1ab_0 - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 - - kealib=1.4.15=h51f5cc1_1 - - libdap4=3.20.6=h3e144a0_2 + - kealib=1.5.0=h5c1f988_0 - libnetcdf=4.8.1=nompi_hc61b76e_106 - - libspatialite=5.0.1=h778c766_21 - - numpy=1.23.4=py310h1b7c290_1 - - poppler=22.10.0=hf2ff1a1_0 - - stack_data=0.6.0=pyhd8ed1ab_0 - - terminado=0.17.0=pyhd1c38e8_0 - - tiledb=2.11.3=h8b9cbf0_1 + - libspatialite=5.0.1=hc1c2c66_22 + - numpy=1.23.5=py310h1b7c290_0 + - poppler=22.12.0=hf2ff1a1_0 + - stack_data=0.6.2=pyhd8ed1ab_0 + - tiledb=2.13.0=h8b9cbf0_0 - wcwidth=0.2.5=pyh9f0ad1d_2 - - werkzeug=2.2.2=pyhd8ed1ab_0 - argon2-cffi=21.3.0=pyhd8ed1ab_0 - contourpy=1.0.6=py310ha23aa8a_0 - - flask=2.2.2=pyhd8ed1ab_0 + - flask-compress=1.13=pyhd8ed1ab_0 - h5py=3.7.0=nompi_py310h5555e59_102 - - imagecodecs=2022.9.26=py310h79a1b8a_3 - - imageio=2.22.0=pyhfa7a67d_0 - - libgdal=3.5.3=h9ab8fee_0 + - imagecodecs=2022.9.26=py310h86b898b_4 + - imageio=2.22.4=pyhfa7a67d_1 + - libgdal=3.6.0=h03944e0_14 - nbformat=5.7.0=pyhd8ed1ab_0 - - numba=0.56.3=py310h62db5c2_0 + - numba=0.56.4=py310h62db5c2_0 - numcodecs=0.10.2=py310h154be8b_0 - - pandas=1.5.1=py310hecf8f37_1 - - prompt-toolkit=3.0.31=pyha770c72_0 + - pandas=1.5.2=py310hecf8f37_0 + - prompt-toolkit=3.0.36=pyha770c72_0 - pyopenssl=22.1.0=pyhd8ed1ab_0 - pywavelets=1.3.0=py310h936d966_2 - - scipy=1.9.3=py310h240c617_1 - - shapely=1.8.5=py310hd79a494_1 + - scipy=1.9.3=py310h240c617_2 + - shapely=2.0.0=py310h4e43f2a_0 - vectormath=0.2.2=py_0 + - dash=2.7.1=pyhd8ed1ab_0 - discretize=0.7.4=py310h84c6d00_0 - empymod=2.2.1=pyhd8ed1ab_0 - - flask-compress=1.13=pyhd8ed1ab_0 - - gdal=3.5.3=py310h5abc6fc_0 - - ipython=8.6.0=pyhd1c38e8_1 - - matplotlib-base=3.6.1=py310he725631_1 - - nbclient=0.7.0=pyhd8ed1ab_0 + - gdal=3.6.0=py310h5abc6fc_14 + - ipython=8.7.0=pyhd1c38e8_0 + - matplotlib-base=3.6.2=py310he725631_0 + - nbclient=0.7.2=pyhd8ed1ab_0 - properties=0.6.1=py_0 - pydiso=0.0.3=py310he105d0e_4 - - scikit-learn=1.1.3=py310hcebe997_1 + - scikit-learn=1.2.0=py310hcebe997_0 - tifffile=2022.10.10=pyhd8ed1ab_0 - - urllib3=1.26.11=pyhd8ed1ab_0 + - urllib3=1.26.13=pyhd8ed1ab_0 - zarr=2.13.3=pyhd8ed1ab_0 - - dash=2.6.2=pyhd8ed1ab_0 + - dash-daq=0.5.0=pyh9f0ad1d_1 - distributed=2022.10.0=pyhd8ed1ab_2 - - fiona=1.8.22=py310h5a14c0a_1 + - fiona=1.8.22=py310h3963e5c_3 - geoana=0.0.6=py_1 - - ipykernel=6.17.0=pyh736e0ef_0 - - nbconvert-core=7.2.3=pyhd8ed1ab_0 + - ipykernel=6.19.2=pyh736e0ef_0 + - nbconvert-core=7.2.6=pyhd8ed1ab_0 - pymatsolver=0.2.0=pyhd8ed1ab_0 - scikit-image=0.19.3=py310hecf8f37_2 - - dash-daq=0.5.0=pyh9f0ad1d_1 - jupyter-dash=0.4.2=pyhd8ed1ab_1 - - jupyter_server=1.21.0=pyhd8ed1ab_0 - - nbconvert-pandoc=7.2.3=pyhd8ed1ab_0 - - nbconvert=7.2.3=pyhd8ed1ab_0 - - notebook-shim=0.2.0=pyhd8ed1ab_0 - - nbclassic=0.4.5=pyhd8ed1ab_0 - - notebook=6.5.1=pyha770c72_0 + - jupyter_server=1.23.3=pyhd8ed1ab_0 + - nbconvert-pandoc=7.2.6=pyhd8ed1ab_0 + - nbconvert=7.2.6=pyhd8ed1ab_0 + - notebook-shim=0.2.2=pyhd8ed1ab_0 + - nbclassic=0.4.8=pyhd8ed1ab_0 + - notebook=6.5.2=pyha770c72_1 - widgetsnbextension=3.6.1=pyha770c72_0 - ipywidgets=7.7.2=pyhd8ed1ab_0 - ipyfilechooser=0.6.0=pyhd8ed1ab_0 - pip: - geoh5py === 0.5.0 - simpeg-archive === 0.9.1.dev5 - - mira-simpeg === 0.15.1.dev6 + - mira-simpeg === 0.15.1.dev7 + - param-sweeps === 0.1.3 variables: KMP_WARNINGS: 0 diff --git a/environments/conda-py-3.10-win-64-dev.lock.yml b/environments/conda-py-3.10-win-64-dev.lock.yml index 55b60eb1c..152d1094a 100644 --- a/environments/conda-py-3.10-win-64-dev.lock.yml +++ b/environments/conda-py-3.10-win-64-dev.lock.yml @@ -1,21 +1,22 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: e18de762efef9efbb3751464f1d6e045e99d74bb992bcf79c73a5a4c6f71a5e1 +# input_hash: 90d5bc3bed83f64bcb7e73e32df450877f61067f109c3f1b011905792e39d757 channels: - conda-forge - defaults dependencies: - - ca-certificates=2022.9.24=h5b45459_0 + - ca-certificates=2022.12.7=h5b45459_0 - font-ttf-dejavu-sans-mono=2.37=hab24e00_0 - font-ttf-inconsolata=3.000=h77eed37_0 - font-ttf-source-code-pro=2.038=h77eed37_0 - font-ttf-ubuntu=0.83=hab24e00_0 - - intel-openmp=2022.1.0=h57928b3_3787 + - intel-openmp=2022.2.1=h57928b3_19741 - msys2-conda-epoch=20160418=1 - pandoc=2.19.2=h57928b3_1 - poppler-data=0.4.11=hd8ed1ab_0 - - tzdata=2022f=h191b570_0 + - python_abi=3.10=3_cp310 + - tzdata=2022g=h191b570_0 - ucrt=10.0.22621.0=h57928b3_0 - winpty=0.4.3=4 - fonts-conda-forge=1=0 @@ -30,7 +31,7 @@ dependencies: - charls=2.3.4=h39d44d4_0 - dav1d=1.0.0=h8ffe710_1 - expat=2.5.0=h1537add_0 - - geos=3.11.0=h39d44d4_0 + - geos=3.11.1=h1537add_0 - giflib=5.2.1=h8d14728_2 - icu=70.1=h0e60522_0 - jpeg=9e=h8ffe710_2 @@ -42,17 +43,17 @@ dependencies: - libffi=3.4.2=h8ffe710_5 - libiconv=1.17=h8ffe710_0 - libsodium=1.0.18=h8d14728_1 - - libsqlite=3.39.4=hcfcfb64_0 + - libsqlite=3.40.0=hcfcfb64_0 - libwebp-base=1.2.4=h8ffe710_0 - libzlib=1.2.13=hcfcfb64_4 - libzopfli=1.0.3=h0e60522_0 - lz4-c=1.9.3=h8ffe710_1 - m2w64-gcc-libgfortran=5.3.0=6 - - openssl=3.0.7=hcfcfb64_0 - - pcre=8.45=h0e60522_0 + - openssl=3.0.7=hcfcfb64_1 - pixman=0.40.0=h8ffe710_0 - - snappy=1.1.9=h82413e6_1 - - tbb=2021.6.0=h91493d7_1 + - pthreads-win32=2.9.1=hfa6e2cd_3 + - qhull=2020.2=h70d2c02_2 + - snappy=1.1.9=hfb803bf_2 - tk=8.6.12=h8ffe710_0 - xerces-c=3.2.4=h63175ca_1 - xz=5.2.6=h8d14728_0 @@ -65,43 +66,45 @@ dependencies: - libavif=0.11.1=h8f5c5bc_0 - libbrotlidec=1.0.9=hcfcfb64_8 - libbrotlienc=1.0.9=hcfcfb64_8 - - libpng=1.6.38=h19919ed_0 - - librttopo=1.1.0=h2842628_11 + - libpng=1.6.39=h19919ed_0 + - librttopo=1.1.0=he22b5cd_12 - libssh2=1.10.0=h9a1e1f7_3 - libxml2=2.10.3=hc3477c8_0 - libzip=1.9.2=h519de47_1 - m2w64-gcc-libs=5.3.0=7 - - mkl=2022.1.0=h6a75c08_874 - - pcre2=10.37=hdfff0fc_1 - - python=3.10.6=hcf16a7b_0_cpython - - sqlite=3.39.4=hcfcfb64_0 + - pcre2=10.40=h17e33f8_0 + - python=3.10.8=h4de0772_0_cpython + - sqlite=3.40.0=hcfcfb64_0 - zeromq=4.3.4=h0e60522_1 - zlib=1.2.13=hcfcfb64_4 - zstd=1.5.2=h7755175_4 + - _ipython_minor_entry_point=8.7.0=hb6b4a82_0 - asciitree=0.3.3=py_2 - attrs=22.1.0=pyh71513ae_1 - backcall=0.2.0=pyh9f0ad1d_0 - - backports=1.0=py_2 - - blosc=1.21.1=h74325e0_3 + - backports=1.0=pyhd8ed1ab_3 + - blosc=1.21.2=hdccc3a2_0 - boost-cpp=1.78.0=h9f4b32c_1 - brotli-bin=1.0.9=hcfcfb64_8 - - c-blosc2=2.4.3=h183a6f4_0 + - brotli-python=1.0.9=py310h00ffb61_8 + - c-blosc2=2.6.0=h183a6f4_0 - cached_property=1.5.2=pyha770c72_1 - - certifi=2022.9.24=pyhd8ed1ab_0 + - certifi=2022.12.7=pyhd8ed1ab_0 - charset-normalizer=2.1.1=pyhd8ed1ab_0 - cloudpickle=2.2.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 - cycler=0.11.0=pyhd8ed1ab_0 + - debugpy=1.6.4=py310h00ffb61_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - dill=0.3.6=pyhd8ed1ab_1 - entrypoints=0.4=pyhd8ed1ab_0 - - exceptiongroup=1.0.0=pyhd8ed1ab_0 + - exceptiongroup=1.0.4=pyhd8ed1ab_0 - executing=1.2.0=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - flit-core=3.7.1=pyhd8ed1ab_0 - - freetype=2.12.1=h546665d_0 - - fsspec=2022.10.0=pyhd8ed1ab_0 + - flit-core=3.8.0=pyhd8ed1ab_0 + - freetype=2.12.1=h546665d_1 + - fsspec=2022.11.0=pyhd8ed1ab_0 - future=0.18.2=pyhd8ed1ab_6 - hdf4=4.2.15=h1b1b6ef_5 - heapdict=1.0.1=py_0 @@ -110,33 +113,44 @@ dependencies: - ipython_genutils=0.2.0=py_1 - itsdangerous=2.1.2=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.1=pyhd8ed1ab_0 - - libblas=3.9.0=16_win64_mkl - - libcurl=7.86.0=heaf79c2_0 - - libglib=2.74.1=h79619a9_0 - - libpq=14.5=hf15792c_1 + - kiwisolver=1.4.4=py310h232114e_1 + - lazy-object-proxy=1.8.0=py310h8d17308_0 + - libcurl=7.86.0=heaf79c2_1 + - libglib=2.74.1=he8f3873_1 + - libhwloc=2.8.0=h039e092_1 + - libpq=15.1=hf15792c_1 - libtiff=4.4.0=h8e97e67_4 + - llvmlite=0.39.1=py310hb84602e_1 - locket=1.0.0=pyhd8ed1ab_0 + - markupsafe=2.1.1=py310h8d17308_2 - mccabe=0.7.0=pyhd8ed1ab_0 - mistune=2.0.4=pyhd8ed1ab_0 + - msgpack-python=1.0.4=py310h232114e_1 - munkres=1.1.4=pyh9f0ad1d_0 - nest-asyncio=1.5.6=pyhd8ed1ab_0 - - networkx=2.8.7=pyhd8ed1ab_0 + - networkx=2.8.8=pyhd8ed1ab_0 + - packaging=22.0=pyhd8ed1ab_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.3=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0 - - platformdirs=2.5.2=pyhd8ed1ab_1 + - platformdirs=2.6.0=pyhd8ed1ab_0 - pluggy=1.0.0=pyhd8ed1ab_5 - prometheus_client=0.15.0=pyhd8ed1ab_0 + - psutil=5.9.4=py310h8d17308_0 - pthread-stubs=0.4=hcd874cb_1001 - pure_eval=0.2.2=pyhd8ed1ab_0 - pycparser=2.21=pyhd8ed1ab_0 - pyparsing=3.0.9=pyhd8ed1ab_0 + - pyrsistent=0.19.2=py310h8d17308_0 - python-fastjsonschema=2.16.2=pyhd8ed1ab_0 - - python_abi=3.10=2_cp310 - - pytz=2022.5=pyhd8ed1ab_0 + - pytz=2022.6=pyhd8ed1ab_0 + - pywin32=304=py310h00ffb61_2 + - pywinpty=2.0.9=py310h00ffb61_0 + - pyyaml=6.0=py310h8d17308_5 + - pyzmq=24.0.1=py310hcd737a0_1 - send2trash=1.8.0=pyhd8ed1ab_0 - - setuptools=65.5.0=pyhd8ed1ab_0 + - setuptools=65.5.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.0=pyhd8ed1ab_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 @@ -147,160 +161,151 @@ dependencies: - toml=0.10.2=pyhd8ed1ab_0 - tomli=2.0.1=pyhd8ed1ab_0 - toolz=0.12.0=pyhd8ed1ab_0 - - traitlets=5.5.0=pyhd8ed1ab_0 + - tornado=6.1=py310he2412df_3 + - traitlets=5.7.1=pyhd8ed1ab_0 - typing=3.10.0.0=pyhd8ed1ab_0 - typing_extensions=4.4.0=pyha770c72_0 + - unicodedata2=15.0.0=py310h8d17308_0 - utm=0.7.0=pyhd8ed1ab_0 - webencodings=0.5.1=py_1 - - websocket-client=1.4.1=pyhd8ed1ab_0 - - wheel=0.37.1=pyhd8ed1ab_0 + - websocket-client=1.4.2=pyhd8ed1ab_0 + - wheel=0.38.4=pyhd8ed1ab_0 - win_inet_pton=1.1.0=pyhd8ed1ab_6 + - wrapt=1.14.1=py310h8d17308_1 - xorg-libxau=1.0.9=hcd874cb_0 - xorg-libxdmcp=1.1.3=hcd874cb_0 - - zipp=3.10.0=pyhd8ed1ab_0 + - zipp=3.11.0=pyhd8ed1ab_0 - ansi2html=1.8.0=py310h5588dad_1 - anyio=3.6.2=pyhd8ed1ab_0 - - asttokens=2.1.0=pyhd8ed1ab_0 + - astroid=2.12.13=py310h5588dad_0 + - asttokens=2.2.1=pyhd8ed1ab_0 - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 - beautifulsoup4=4.11.1=pyha770c72_0 + - bleach=5.0.1=pyhd8ed1ab_0 - brotli=1.0.9=hcfcfb64_8 - - brotli-python=1.0.9=py310h00ffb61_8 - cached-property=1.5.2=hd8ed1ab_1 - cffi=1.15.1=py310h628cb3f_2 - - cfitsio=4.1.0=h5a969a9_0 + - cfitsio=4.2.0=h9ebe7e4_0 - click=8.1.3=win_pyhd8ed1ab_2 + - comm=0.1.2=pyhd8ed1ab_0 - coverage=6.5.0=py310h8d17308_1 - - curl=7.86.0=heaf79c2_0 + - curl=7.86.0=heaf79c2_1 - cytoolz=0.12.0=py310h8d17308_1 - - debugpy=1.6.3=py310h00ffb61_1 - fontconfig=2.14.1=hbde0cde_0 - hdf5=1.12.2=nompi_h57737ce_100 - - importlib-metadata=5.0.0=pyha770c72_1 - - importlib_resources=5.10.0=pyhd8ed1ab_0 - - isort=5.10.1=pyhd8ed1ab_0 - - jedi=0.18.1=pyhd8ed1ab_2 + - importlib-metadata=5.1.0=pyha770c72_0 + - importlib_resources=5.10.1=pyhd8ed1ab_0 + - isort=5.11.1=pyhd8ed1ab_0 + - jedi=0.18.2=pyhd8ed1ab_0 + - jinja2=3.1.2=pyhd8ed1ab_1 - joblib=1.2.0=pyhd8ed1ab_0 - - kiwisolver=1.4.4=py310h232114e_1 - - lazy-object-proxy=1.8.0=py310h8d17308_0 + - jupyter_core=5.1.0=py310h5588dad_0 - lcms2=2.14=h90d422f_0 - - libcblas=3.9.0=16_win64_mkl - libkml=1.3.0=hf2ab4e4_1015 - - liblapack=3.9.0=16_win64_mkl - libxcb=1.13=hcd874cb_1004 - - llvmlite=0.39.1=py310hb84602e_1 - - markupsafe=2.1.1=py310h8d17308_2 - matplotlib-inline=0.1.6=pyhd8ed1ab_0 - - msgpack-python=1.0.4=py310h232114e_1 - munch=2.5.0=py_0 - openjpeg=2.5.0=hc9384bd_1 - - packaging=21.3=pyhd8ed1ab_0 - partd=1.3.0=pyhd8ed1ab_0 - - pip=22.3=pyhd8ed1ab_0 - - plotly=5.11.0=pyhd8ed1ab_0 - - postgresql=14.5=h58a5ca5_1 + - pip=22.3.1=pyhd8ed1ab_0 + - plotly=5.11.0=pyhd8ed1ab_1 + - postgresql=15.1=h58a5ca5_1 - proj=9.1.0=h3863b3b_0 - - psutil=5.9.3=py310h8d17308_1 - pygments=2.13.0=pyhd8ed1ab_0 - - pyrsistent=0.18.1=py310h8d17308_2 - pysocks=1.7.1=pyh0701188_6 + - pytest=7.2.0=pyhd8ed1ab_2 - python-dateutil=2.8.2=pyhd8ed1ab_0 - - pywin32=304=py310h00ffb61_2 - - pywinpty=2.0.9=py310h00ffb61_0 - - pyyaml=6.0=py310h8d17308_5 - - pyzmq=24.0.1=py310hcd737a0_1 - retrying=1.3.3=py_2 + - tbb=2021.7.0=h91493d7_1 + - terminado=0.17.0=pyh08f2357_0 - tinycss2=1.2.1=pyhd8ed1ab_0 - tomlkit=0.11.6=pyha770c72_0 - - tornado=6.1=py310he2412df_3 - tqdm=4.64.1=pyhd8ed1ab_0 - typing-extensions=4.4.0=hd8ed1ab_0 - - unicodedata2=15.0.0=py310h8d17308_0 - - wrapt=1.14.1=py310h8d17308_1 + - werkzeug=2.2.2=pyhd8ed1ab_0 - zict=2.2.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py310h8d17308_3 - - astroid=2.12.12=py310h5588dad_1 - - bleach=5.0.1=pyhd8ed1ab_0 - brotlipy=0.7.0=py310h8d17308_1005 - cairo=1.16.0=hd694305_1014 - click-plugins=1.1.1=py_0 - cligj=0.7.2=pyhd8ed1ab_1 - - cryptography=38.0.2=py310h6e82f81_2 + - cryptography=38.0.4=py310h6e82f81_0 - dask-core=2022.10.0=pyhd8ed1ab_2 + - flask=2.2.2=pyhd8ed1ab_0 - fonttools=4.38.0=py310h8d17308_1 - geotiff=1.7.1=h4ffd875_4 - - jinja2=3.1.2=pyhd8ed1ab_1 - - jsonschema=4.16.0=pyhd8ed1ab_0 - - jupyter_core=4.11.1=py310h5588dad_1 + - jsonschema=4.17.3=pyhd8ed1ab_0 + - jupyter_client=7.3.4=pyhd8ed1ab_0 - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 - - kealib=1.4.15=hdf81f3a_1 + - kealib=1.5.0=h61be68b_0 - libnetcdf=4.8.1=nompi_h8c042bf_106 - - libspatialite=5.0.1=hd560d62_21 - - numpy=1.23.4=py310h4a8f9c9_1 + - libspatialite=5.0.1=h07bf483_22 + - mkl=2022.1.0=h6a75c08_874 - pillow=9.2.0=py310hd4fb230_3 - - pytest=7.2.0=pyhd8ed1ab_2 - - stack_data=0.6.0=pyhd8ed1ab_0 - - terminado=0.17.0=pyh08f2357_0 - - tiledb=2.11.3=h3132609_1 + - pylint=2.15.8=pyhd8ed1ab_0 + - pytest-cov=3.0.0=pyhd8ed1ab_0 + - stack_data=0.6.2=pyhd8ed1ab_0 + - tiledb=2.13.0=h3132609_0 - wcwidth=0.2.5=pyh9f0ad1d_2 - - werkzeug=2.2.2=pyhd8ed1ab_0 - argon2-cffi=21.3.0=pyhd8ed1ab_0 + - flask-compress=1.13=pyhd8ed1ab_0 + - libblas=3.9.0=16_win64_mkl + - nbformat=5.7.0=pyhd8ed1ab_0 + - poppler=22.12.0=ha6c1112_0 + - prompt-toolkit=3.0.36=pyha770c72_0 + - pyopenssl=22.1.0=pyhd8ed1ab_0 + - dash=2.7.1=pyhd8ed1ab_0 + - ipython=8.7.0=pyh08f2357_0 + - libcblas=3.9.0=16_win64_mkl + - libgdal=3.6.0=hefe12b1_14 + - liblapack=3.9.0=16_win64_mkl + - nbclient=0.7.2=pyhd8ed1ab_0 + - urllib3=1.26.13=pyhd8ed1ab_0 + - dash-daq=0.5.0=pyh9f0ad1d_1 + - distributed=2022.10.0=pyhd8ed1ab_2 + - ipykernel=6.19.2=pyh025b116_0 + - nbconvert-core=7.2.6=pyhd8ed1ab_0 + - numpy=1.23.5=py310h4a8f9c9_0 + - requests=2.28.1=pyhd8ed1ab_1 - contourpy=1.0.6=py310h232114e_0 - - flask=2.2.2=pyhd8ed1ab_0 + - gdal=3.6.0=py310h644bc08_14 - h5py=3.7.0=nompi_py310hae7a582_102 - - imagecodecs=2022.9.26=py310h68994fe_3 - - imageio=2.22.0=pyhfa7a67d_0 - - jupyter_client=7.3.4=pyhd8ed1ab_0 - - nbformat=5.7.0=pyhd8ed1ab_0 - - numba=0.56.3=py310h19bcfe9_0 + - imagecodecs=2022.9.26=py310h99cb1c7_4 + - imageio=2.22.4=pyhfa7a67d_1 + - jupyter-dash=0.4.2=pyhd8ed1ab_1 + - jupyter_server=1.23.3=pyhd8ed1ab_0 + - nbconvert-pandoc=7.2.6=pyhd8ed1ab_0 + - numba=0.56.4=py310h19bcfe9_0 - numcodecs=0.10.2=py310h8a704f9_0 - - pandas=1.5.1=py310h1c4a608_1 - - poppler=22.10.0=ha6c1112_0 - - prompt-toolkit=3.0.31=pyha770c72_0 - - pylint=2.15.5=pyhd8ed1ab_0 - - pyopenssl=22.1.0=pyhd8ed1ab_0 - - pytest-cov=3.0.0=pyhd8ed1ab_0 + - pandas=1.5.2=py310h1c4a608_0 - pywavelets=1.3.0=py310h9b08ddd_2 - - scipy=1.9.3=py310h578b7cb_1 - - shapely=1.8.5=py310h3734685_1 + - scipy=1.9.3=py310h578b7cb_2 + - shapely=2.0.0=py310h8c82734_0 - vectormath=0.2.2=py_0 - discretize=0.7.4=py310hc781a3c_0 - empymod=2.2.1=pyhd8ed1ab_0 - - flask-compress=1.13=pyhd8ed1ab_0 - - ipython=8.6.0=pyh08f2357_1 - - libgdal=3.5.3=h283e77c_0 - - matplotlib-base=3.6.1=py310h51140c5_1 - - nbclient=0.7.0=pyhd8ed1ab_0 + - fiona=1.8.22=py310h4a685fe_3 + - matplotlib-base=3.6.2=py310h51140c5_0 + - nbconvert=7.2.6=pyhd8ed1ab_0 + - notebook-shim=0.2.2=pyhd8ed1ab_0 - properties=0.6.1=py_0 - pydiso=0.0.3=py310h847dae0_4 - - scikit-learn=1.1.3=py310had3394f_1 + - scikit-learn=1.2.0=py310had3394f_0 - tifffile=2022.10.10=pyhd8ed1ab_0 - - urllib3=1.26.11=pyhd8ed1ab_0 - zarr=2.13.3=pyhd8ed1ab_0 - - dash=2.6.2=pyhd8ed1ab_0 - - distributed=2022.10.0=pyhd8ed1ab_2 - - gdal=3.5.3=py310h644bc08_0 - geoana=0.0.6=py_1 - - ipykernel=6.17.0=pyh025b116_0 - - nbconvert-core=7.2.3=pyhd8ed1ab_0 + - nbclassic=0.4.8=pyhd8ed1ab_0 - pymatsolver=0.2.0=pyhd8ed1ab_0 - - requests=2.28.1=pyhd8ed1ab_1 - scikit-image=0.19.3=py310h1c4a608_2 - - dash-daq=0.5.0=pyh9f0ad1d_1 - - fiona=1.8.22=py310h30f9a14_1 - - jupyter-dash=0.4.2=pyhd8ed1ab_1 - - jupyter_server=1.21.0=pyhd8ed1ab_0 - - nbconvert-pandoc=7.2.3=pyhd8ed1ab_0 - - nbconvert=7.2.3=pyhd8ed1ab_0 - - notebook-shim=0.2.0=pyhd8ed1ab_0 - - nbclassic=0.4.5=pyhd8ed1ab_0 - - notebook=6.5.1=pyha770c72_0 + - notebook=6.5.2=pyha770c72_1 - widgetsnbextension=3.6.1=pyha770c72_0 - ipywidgets=7.7.2=pyhd8ed1ab_0 - ipyfilechooser=0.6.0=pyhd8ed1ab_0 - pip: - geoh5py === 0.5.0 - simpeg-archive === 0.9.1.dev5 - - mira-simpeg === 0.15.1.dev6 + - mira-simpeg === 0.15.1.dev7 + - param-sweeps === 0.1.3 variables: KMP_WARNINGS: 0 diff --git a/environments/conda-py-3.10-win-64.lock.yml b/environments/conda-py-3.10-win-64.lock.yml index a9891ec3d..653ca9a60 100644 --- a/environments/conda-py-3.10-win-64.lock.yml +++ b/environments/conda-py-3.10-win-64.lock.yml @@ -1,21 +1,22 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: e18de762efef9efbb3751464f1d6e045e99d74bb992bcf79c73a5a4c6f71a5e1 +# input_hash: 90d5bc3bed83f64bcb7e73e32df450877f61067f109c3f1b011905792e39d757 channels: - conda-forge - defaults dependencies: - - ca-certificates=2022.9.24=h5b45459_0 + - ca-certificates=2022.12.7=h5b45459_0 - font-ttf-dejavu-sans-mono=2.37=hab24e00_0 - font-ttf-inconsolata=3.000=h77eed37_0 - font-ttf-source-code-pro=2.038=h77eed37_0 - font-ttf-ubuntu=0.83=hab24e00_0 - - intel-openmp=2022.1.0=h57928b3_3787 + - intel-openmp=2022.2.1=h57928b3_19741 - msys2-conda-epoch=20160418=1 - pandoc=2.19.2=h57928b3_1 - poppler-data=0.4.11=hd8ed1ab_0 - - tzdata=2022f=h191b570_0 + - python_abi=3.10=3_cp310 + - tzdata=2022g=h191b570_0 - ucrt=10.0.22621.0=h57928b3_0 - winpty=0.4.3=4 - fonts-conda-forge=1=0 @@ -30,7 +31,7 @@ dependencies: - charls=2.3.4=h39d44d4_0 - dav1d=1.0.0=h8ffe710_1 - expat=2.5.0=h1537add_0 - - geos=3.11.0=h39d44d4_0 + - geos=3.11.1=h1537add_0 - giflib=5.2.1=h8d14728_2 - icu=70.1=h0e60522_0 - jpeg=9e=h8ffe710_2 @@ -42,17 +43,17 @@ dependencies: - libffi=3.4.2=h8ffe710_5 - libiconv=1.17=h8ffe710_0 - libsodium=1.0.18=h8d14728_1 - - libsqlite=3.39.4=hcfcfb64_0 + - libsqlite=3.40.0=hcfcfb64_0 - libwebp-base=1.2.4=h8ffe710_0 - libzlib=1.2.13=hcfcfb64_4 - libzopfli=1.0.3=h0e60522_0 - lz4-c=1.9.3=h8ffe710_1 - m2w64-gcc-libgfortran=5.3.0=6 - - openssl=3.0.7=hcfcfb64_0 - - pcre=8.45=h0e60522_0 + - openssl=3.0.7=hcfcfb64_1 - pixman=0.40.0=h8ffe710_0 - - snappy=1.1.9=h82413e6_1 - - tbb=2021.6.0=h91493d7_1 + - pthreads-win32=2.9.1=hfa6e2cd_3 + - qhull=2020.2=h70d2c02_2 + - snappy=1.1.9=hfb803bf_2 - tk=8.6.12=h8ffe710_0 - xerces-c=3.2.4=h63175ca_1 - xz=5.2.6=h8d14728_0 @@ -65,39 +66,41 @@ dependencies: - libavif=0.11.1=h8f5c5bc_0 - libbrotlidec=1.0.9=hcfcfb64_8 - libbrotlienc=1.0.9=hcfcfb64_8 - - libpng=1.6.38=h19919ed_0 - - librttopo=1.1.0=h2842628_11 + - libpng=1.6.39=h19919ed_0 + - librttopo=1.1.0=he22b5cd_12 - libssh2=1.10.0=h9a1e1f7_3 - libxml2=2.10.3=hc3477c8_0 - libzip=1.9.2=h519de47_1 - m2w64-gcc-libs=5.3.0=7 - - mkl=2022.1.0=h6a75c08_874 - - pcre2=10.37=hdfff0fc_1 - - python=3.10.6=hcf16a7b_0_cpython - - sqlite=3.39.4=hcfcfb64_0 + - pcre2=10.40=h17e33f8_0 + - python=3.10.8=h4de0772_0_cpython + - sqlite=3.40.0=hcfcfb64_0 - zeromq=4.3.4=h0e60522_1 - zlib=1.2.13=hcfcfb64_4 - zstd=1.5.2=h7755175_4 + - _ipython_minor_entry_point=8.7.0=hb6b4a82_0 - asciitree=0.3.3=py_2 - backcall=0.2.0=pyh9f0ad1d_0 - - backports=1.0=py_2 - - blosc=1.21.1=h74325e0_3 + - backports=1.0=pyhd8ed1ab_3 + - blosc=1.21.2=hdccc3a2_0 - boost-cpp=1.78.0=h9f4b32c_1 - brotli-bin=1.0.9=hcfcfb64_8 - - c-blosc2=2.4.3=h183a6f4_0 + - brotli-python=1.0.9=py310h00ffb61_8 + - c-blosc2=2.6.0=h183a6f4_0 - cached_property=1.5.2=pyha770c72_1 - - certifi=2022.9.24=pyhd8ed1ab_0 + - certifi=2022.12.7=pyhd8ed1ab_0 - cloudpickle=2.2.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 - cycler=0.11.0=pyhd8ed1ab_0 + - debugpy=1.6.4=py310h00ffb61_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - entrypoints=0.4=pyhd8ed1ab_0 - executing=1.2.0=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - flit-core=3.7.1=pyhd8ed1ab_0 - - freetype=2.12.1=h546665d_0 - - fsspec=2022.10.0=pyhd8ed1ab_0 + - flit-core=3.8.0=pyhd8ed1ab_0 + - freetype=2.12.1=h546665d_1 + - fsspec=2022.11.0=pyhd8ed1ab_0 - future=0.18.2=pyhd8ed1ab_6 - hdf4=4.2.15=h1b1b6ef_5 - heapdict=1.0.1=py_0 @@ -105,30 +108,40 @@ dependencies: - ipython_genutils=0.2.0=py_1 - itsdangerous=2.1.2=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.1=pyhd8ed1ab_0 - - libblas=3.9.0=16_win64_mkl - - libcurl=7.86.0=heaf79c2_0 - - libglib=2.74.1=h79619a9_0 - - libpq=14.5=hf15792c_1 + - kiwisolver=1.4.4=py310h232114e_1 + - libcurl=7.86.0=heaf79c2_1 + - libglib=2.74.1=he8f3873_1 + - libhwloc=2.8.0=h039e092_1 + - libpq=15.1=hf15792c_1 - libtiff=4.4.0=h8e97e67_4 + - llvmlite=0.39.1=py310hb84602e_1 - locket=1.0.0=pyhd8ed1ab_0 + - markupsafe=2.1.1=py310h8d17308_2 - mistune=2.0.4=pyhd8ed1ab_0 + - msgpack-python=1.0.4=py310h232114e_1 - munkres=1.1.4=pyh9f0ad1d_0 - nest-asyncio=1.5.6=pyhd8ed1ab_0 - - networkx=2.8.7=pyhd8ed1ab_0 + - networkx=2.8.8=pyhd8ed1ab_0 + - packaging=22.0=pyhd8ed1ab_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.3=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0 - prometheus_client=0.15.0=pyhd8ed1ab_0 + - psutil=5.9.4=py310h8d17308_0 - pthread-stubs=0.4=hcd874cb_1001 - pure_eval=0.2.2=pyhd8ed1ab_0 - pycparser=2.21=pyhd8ed1ab_0 - pyparsing=3.0.9=pyhd8ed1ab_0 + - pyrsistent=0.19.2=py310h8d17308_0 - python-fastjsonschema=2.16.2=pyhd8ed1ab_0 - - python_abi=3.10=2_cp310 - - pytz=2022.5=pyhd8ed1ab_0 + - pytz=2022.6=pyhd8ed1ab_0 + - pywin32=304=py310h00ffb61_2 + - pywinpty=2.0.9=py310h00ffb61_0 + - pyyaml=6.0=py310h8d17308_5 + - pyzmq=24.0.1=py310hcd737a0_1 - send2trash=1.8.0=pyhd8ed1ab_0 - - setuptools=65.5.0=pyhd8ed1ab_0 + - setuptools=65.5.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.0=pyhd8ed1ab_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 @@ -137,149 +150,141 @@ dependencies: - tenacity=8.1.0=pyhd8ed1ab_0 - threadpoolctl=3.1.0=pyh8a188c0_0 - toolz=0.12.0=pyhd8ed1ab_0 - - traitlets=5.5.0=pyhd8ed1ab_0 + - tornado=6.1=py310he2412df_3 + - traitlets=5.7.1=pyhd8ed1ab_0 - typing_extensions=4.4.0=pyha770c72_0 + - unicodedata2=15.0.0=py310h8d17308_0 - utm=0.7.0=pyhd8ed1ab_0 - webencodings=0.5.1=py_1 - - websocket-client=1.4.1=pyhd8ed1ab_0 - - wheel=0.37.1=pyhd8ed1ab_0 + - websocket-client=1.4.2=pyhd8ed1ab_0 + - wheel=0.38.4=pyhd8ed1ab_0 - win_inet_pton=1.1.0=pyhd8ed1ab_6 - xorg-libxau=1.0.9=hcd874cb_0 - xorg-libxdmcp=1.1.3=hcd874cb_0 - - zipp=3.10.0=pyhd8ed1ab_0 + - zipp=3.11.0=pyhd8ed1ab_0 - ansi2html=1.8.0=py310h5588dad_1 - anyio=3.6.2=pyhd8ed1ab_0 - - asttokens=2.1.0=pyhd8ed1ab_0 + - asttokens=2.2.1=pyhd8ed1ab_0 - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 - beautifulsoup4=4.11.1=pyha770c72_0 + - bleach=5.0.1=pyhd8ed1ab_0 - brotli=1.0.9=hcfcfb64_8 - - brotli-python=1.0.9=py310h00ffb61_8 - cached-property=1.5.2=hd8ed1ab_1 - cffi=1.15.1=py310h628cb3f_2 - - cfitsio=4.1.0=h5a969a9_0 + - cfitsio=4.2.0=h9ebe7e4_0 - click=8.1.3=win_pyhd8ed1ab_2 - - curl=7.86.0=heaf79c2_0 + - comm=0.1.2=pyhd8ed1ab_0 + - curl=7.86.0=heaf79c2_1 - cytoolz=0.12.0=py310h8d17308_1 - - debugpy=1.6.3=py310h00ffb61_1 - fontconfig=2.14.1=hbde0cde_0 - hdf5=1.12.2=nompi_h57737ce_100 - - importlib-metadata=5.0.0=pyha770c72_1 - - importlib_resources=5.10.0=pyhd8ed1ab_0 - - jedi=0.18.1=pyhd8ed1ab_2 + - importlib-metadata=5.1.0=pyha770c72_0 + - importlib_resources=5.10.1=pyhd8ed1ab_0 + - jedi=0.18.2=pyhd8ed1ab_0 + - jinja2=3.1.2=pyhd8ed1ab_1 - joblib=1.2.0=pyhd8ed1ab_0 - - kiwisolver=1.4.4=py310h232114e_1 + - jupyter_core=5.1.0=py310h5588dad_0 - lcms2=2.14=h90d422f_0 - - libcblas=3.9.0=16_win64_mkl - libkml=1.3.0=hf2ab4e4_1015 - - liblapack=3.9.0=16_win64_mkl - libxcb=1.13=hcd874cb_1004 - - llvmlite=0.39.1=py310hb84602e_1 - - markupsafe=2.1.1=py310h8d17308_2 - matplotlib-inline=0.1.6=pyhd8ed1ab_0 - - msgpack-python=1.0.4=py310h232114e_1 - munch=2.5.0=py_0 - openjpeg=2.5.0=hc9384bd_1 - - packaging=21.3=pyhd8ed1ab_0 - partd=1.3.0=pyhd8ed1ab_0 - - pip=22.3=pyhd8ed1ab_0 - - plotly=5.11.0=pyhd8ed1ab_0 - - postgresql=14.5=h58a5ca5_1 + - pip=22.3.1=pyhd8ed1ab_0 + - plotly=5.11.0=pyhd8ed1ab_1 + - postgresql=15.1=h58a5ca5_1 - proj=9.1.0=h3863b3b_0 - - psutil=5.9.3=py310h8d17308_1 - pygments=2.13.0=pyhd8ed1ab_0 - - pyrsistent=0.18.1=py310h8d17308_2 - pysocks=1.7.1=pyh0701188_6 - python-dateutil=2.8.2=pyhd8ed1ab_0 - - pywin32=304=py310h00ffb61_2 - - pywinpty=2.0.9=py310h00ffb61_0 - - pyyaml=6.0=py310h8d17308_5 - - pyzmq=24.0.1=py310hcd737a0_1 - retrying=1.3.3=py_2 + - tbb=2021.7.0=h91493d7_1 + - terminado=0.17.0=pyh08f2357_0 - tinycss2=1.2.1=pyhd8ed1ab_0 - - tornado=6.1=py310he2412df_3 - tqdm=4.64.1=pyhd8ed1ab_0 - typing-extensions=4.4.0=hd8ed1ab_0 - - unicodedata2=15.0.0=py310h8d17308_0 + - werkzeug=2.2.2=pyhd8ed1ab_0 - zict=2.2.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py310h8d17308_3 - - bleach=5.0.1=pyhd8ed1ab_0 - brotlipy=0.7.0=py310h8d17308_1005 - cairo=1.16.0=hd694305_1014 - click-plugins=1.1.1=py_0 - cligj=0.7.2=pyhd8ed1ab_1 - - cryptography=38.0.2=py310h6e82f81_2 + - cryptography=38.0.4=py310h6e82f81_0 - dask-core=2022.10.0=pyhd8ed1ab_2 + - flask=2.2.2=pyhd8ed1ab_0 - fonttools=4.38.0=py310h8d17308_1 - geotiff=1.7.1=h4ffd875_4 - - jinja2=3.1.2=pyhd8ed1ab_1 - - jsonschema=4.16.0=pyhd8ed1ab_0 - - jupyter_core=4.11.1=py310h5588dad_1 + - jsonschema=4.17.3=pyhd8ed1ab_0 + - jupyter_client=7.3.4=pyhd8ed1ab_0 - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 - - kealib=1.4.15=hdf81f3a_1 + - kealib=1.5.0=h61be68b_0 - libnetcdf=4.8.1=nompi_h8c042bf_106 - - libspatialite=5.0.1=hd560d62_21 - - numpy=1.23.4=py310h4a8f9c9_1 + - libspatialite=5.0.1=h07bf483_22 + - mkl=2022.1.0=h6a75c08_874 - pillow=9.2.0=py310hd4fb230_3 - - stack_data=0.6.0=pyhd8ed1ab_0 - - terminado=0.17.0=pyh08f2357_0 - - tiledb=2.11.3=h3132609_1 + - stack_data=0.6.2=pyhd8ed1ab_0 + - tiledb=2.13.0=h3132609_0 - wcwidth=0.2.5=pyh9f0ad1d_2 - - werkzeug=2.2.2=pyhd8ed1ab_0 - argon2-cffi=21.3.0=pyhd8ed1ab_0 + - flask-compress=1.13=pyhd8ed1ab_0 + - libblas=3.9.0=16_win64_mkl + - nbformat=5.7.0=pyhd8ed1ab_0 + - poppler=22.12.0=ha6c1112_0 + - prompt-toolkit=3.0.36=pyha770c72_0 + - pyopenssl=22.1.0=pyhd8ed1ab_0 + - dash=2.7.1=pyhd8ed1ab_0 + - ipython=8.7.0=pyh08f2357_0 + - libcblas=3.9.0=16_win64_mkl + - libgdal=3.6.0=hefe12b1_14 + - liblapack=3.9.0=16_win64_mkl + - nbclient=0.7.2=pyhd8ed1ab_0 + - urllib3=1.26.13=pyhd8ed1ab_0 + - dash-daq=0.5.0=pyh9f0ad1d_1 + - distributed=2022.10.0=pyhd8ed1ab_2 + - ipykernel=6.19.2=pyh025b116_0 + - nbconvert-core=7.2.6=pyhd8ed1ab_0 + - numpy=1.23.5=py310h4a8f9c9_0 - contourpy=1.0.6=py310h232114e_0 - - flask=2.2.2=pyhd8ed1ab_0 + - gdal=3.6.0=py310h644bc08_14 - h5py=3.7.0=nompi_py310hae7a582_102 - - imagecodecs=2022.9.26=py310h68994fe_3 - - imageio=2.22.0=pyhfa7a67d_0 - - jupyter_client=7.3.4=pyhd8ed1ab_0 - - nbformat=5.7.0=pyhd8ed1ab_0 - - numba=0.56.3=py310h19bcfe9_0 + - imagecodecs=2022.9.26=py310h99cb1c7_4 + - imageio=2.22.4=pyhfa7a67d_1 + - jupyter-dash=0.4.2=pyhd8ed1ab_1 + - jupyter_server=1.23.3=pyhd8ed1ab_0 + - nbconvert-pandoc=7.2.6=pyhd8ed1ab_0 + - numba=0.56.4=py310h19bcfe9_0 - numcodecs=0.10.2=py310h8a704f9_0 - - pandas=1.5.1=py310h1c4a608_1 - - poppler=22.10.0=ha6c1112_0 - - prompt-toolkit=3.0.31=pyha770c72_0 - - pyopenssl=22.1.0=pyhd8ed1ab_0 + - pandas=1.5.2=py310h1c4a608_0 - pywavelets=1.3.0=py310h9b08ddd_2 - - scipy=1.9.3=py310h578b7cb_1 - - shapely=1.8.5=py310h3734685_1 + - scipy=1.9.3=py310h578b7cb_2 + - shapely=2.0.0=py310h8c82734_0 - vectormath=0.2.2=py_0 - discretize=0.7.4=py310hc781a3c_0 - empymod=2.2.1=pyhd8ed1ab_0 - - flask-compress=1.13=pyhd8ed1ab_0 - - ipython=8.6.0=pyh08f2357_1 - - libgdal=3.5.3=h283e77c_0 - - matplotlib-base=3.6.1=py310h51140c5_1 - - nbclient=0.7.0=pyhd8ed1ab_0 + - fiona=1.8.22=py310h4a685fe_3 + - matplotlib-base=3.6.2=py310h51140c5_0 + - nbconvert=7.2.6=pyhd8ed1ab_0 + - notebook-shim=0.2.2=pyhd8ed1ab_0 - properties=0.6.1=py_0 - pydiso=0.0.3=py310h847dae0_4 - - scikit-learn=1.1.3=py310had3394f_1 + - scikit-learn=1.2.0=py310had3394f_0 - tifffile=2022.10.10=pyhd8ed1ab_0 - - urllib3=1.26.11=pyhd8ed1ab_0 - zarr=2.13.3=pyhd8ed1ab_0 - - dash=2.6.2=pyhd8ed1ab_0 - - distributed=2022.10.0=pyhd8ed1ab_2 - - gdal=3.5.3=py310h644bc08_0 - geoana=0.0.6=py_1 - - ipykernel=6.17.0=pyh025b116_0 - - nbconvert-core=7.2.3=pyhd8ed1ab_0 + - nbclassic=0.4.8=pyhd8ed1ab_0 - pymatsolver=0.2.0=pyhd8ed1ab_0 - scikit-image=0.19.3=py310h1c4a608_2 - - dash-daq=0.5.0=pyh9f0ad1d_1 - - fiona=1.8.22=py310h30f9a14_1 - - jupyter-dash=0.4.2=pyhd8ed1ab_1 - - jupyter_server=1.21.0=pyhd8ed1ab_0 - - nbconvert-pandoc=7.2.3=pyhd8ed1ab_0 - - nbconvert=7.2.3=pyhd8ed1ab_0 - - notebook-shim=0.2.0=pyhd8ed1ab_0 - - nbclassic=0.4.5=pyhd8ed1ab_0 - - notebook=6.5.1=pyha770c72_0 + - notebook=6.5.2=pyha770c72_1 - widgetsnbextension=3.6.1=pyha770c72_0 - ipywidgets=7.7.2=pyhd8ed1ab_0 - ipyfilechooser=0.6.0=pyhd8ed1ab_0 - pip: - geoh5py === 0.5.0 - simpeg-archive === 0.9.1.dev5 - - mira-simpeg === 0.15.1.dev6 + - mira-simpeg === 0.15.1.dev7 + - param-sweeps === 0.1.3 variables: KMP_WARNINGS: 0 diff --git a/environments/conda-py-3.9-linux-64-dev.lock.yml b/environments/conda-py-3.9-linux-64-dev.lock.yml index f967b19e8..143462ef2 100644 --- a/environments/conda-py-3.9-linux-64-dev.lock.yml +++ b/environments/conda-py-3.9-linux-64-dev.lock.yml @@ -1,25 +1,27 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 8ecdd0d8c7d7d17c0e3a4ad1c0eb249ab1ddaf023e1e0ef702bac2e9095ad55c +# input_hash: daa1fce94ec304f011441ccd301c2475f70934db04381131a31923b2cea3797c channels: - conda-forge - defaults dependencies: - _libgcc_mutex=0.1=conda_forge - - ca-certificates=2022.9.24=ha878542_0 + - ca-certificates=2022.12.7=ha878542_0 - font-ttf-dejavu-sans-mono=2.37=hab24e00_0 - font-ttf-inconsolata=3.000=h77eed37_0 - font-ttf-source-code-pro=2.038=h77eed37_0 - font-ttf-ubuntu=0.83=hab24e00_0 - - ld_impl_linux-64=2.39=hc81fddc_0 + - ld_impl_linux-64=2.39=hcc3a1bd_1 - libgfortran5=12.2.0=h337968e_19 - libstdcxx-ng=12.2.0=h46fd767_19 - poppler-data=0.4.11=hd8ed1ab_0 - - tzdata=2022f=h191b570_0 + - python_abi=3.9=3_cp39 + - tzdata=2022g=h191b570_0 - fonts-conda-forge=1=0 - libgfortran-ng=12.2.0=h69a702a_19 - fonts-conda-ecosystem=1=0 + - _ipython_minor_entry_point=8.7.0=h8cf3c4a_0 - _openmp_mutex=4.5=2_kmp_llvm - libgcc-ng=12.2.0=h65d4601_19 - aom=3.5.0=h27087fc_0 @@ -29,7 +31,7 @@ dependencies: - dav1d=1.0.0=h166bdaf_1 - expat=2.5.0=h27087fc_0 - freexl=1.0.6=h166bdaf_1 - - geos=3.11.0=h27087fc_0 + - geos=3.11.1=h27087fc_0 - gettext=0.21.1=h27087fc_0 - giflib=5.2.1=h36c2ea0_2 - icu=70.1=h27087fc_0 @@ -52,14 +54,13 @@ dependencies: - libzopfli=1.0.3=h9c3ff4c_0 - lz4-c=1.9.3=h9c3ff4c_1 - ncurses=6.3=h27087fc_1 - - nspr=4.32=h9c3ff4c_1 - - openssl=3.0.7=h166bdaf_0 - - pcre=8.45=h9c3ff4c_0 + - nspr=4.35=h27087fc_0 + - openssl=3.0.7=h0b41bf4_1 - pixman=0.40.0=h36c2ea0_0 - pthread-stubs=0.4=h36c2ea0_1001 - - snappy=1.1.9=hbd366e4_1 - - tbb=2021.6.0=h924138e_1 - - tzcode=2022e=h166bdaf_0 + - qhull=2020.2=h4bd325d_2 + - snappy=1.1.9=hbd366e4_2 + - tzcode=2022g=h166bdaf_0 - xorg-kbproto=1.0.7=h7f98852_1002 - xorg-libice=1.0.10=h7f98852_0 - xorg-libxau=1.0.9=h7f98852_0 @@ -77,251 +78,253 @@ dependencies: - libedit=3.1.20191231=he28a2e2_2 - libllvm11=11.1.0=he0ac6c6_5 - libnghttp2=1.47.0=hff17c54_1 - - libpng=1.6.38=h753d276_0 - - librttopo=1.1.0=hf730bdb_11 - - libsqlite=3.39.4=h753d276_0 + - libpng=1.6.39=h753d276_0 + - librttopo=1.1.0=ha49c73b_12 + - libsqlite=3.40.0=h753d276_0 - libssh2=1.10.0=hf14f497_3 - libxcb=1.13=h7f98852_1004 - libxml2=2.10.3=h7463322_0 - libzip=1.9.2=hc929e4a_1 - - llvm-openmp=14.0.4=he0ac6c6_0 + - llvm-openmp=15.0.6=he0ac6c6_0 - pandoc=2.19.2=h32600fe_1 - - pcre2=10.37=hc3806b6_1 + - pcre2=10.40=hc3806b6_0 - readline=8.1.2=h0f457ee_0 - tk=8.6.12=h27826a3_0 - xorg-libsm=1.2.3=hd9c2040_1000 - zeromq=4.3.4=h9c3ff4c_1 - zlib=1.2.13=h166bdaf_4 - zstd=1.5.2=h6239696_4 - - blosc=1.21.1=h83bc5f7_3 + - blosc=1.21.2=hafa529b_0 - boost-cpp=1.78.0=h75c5d50_1 - brotli-bin=1.0.9=h166bdaf_8 - - c-blosc2=2.4.3=h7a311fb_0 - - freetype=2.12.1=hca18f0e_0 + - c-blosc2=2.6.0=hf91038e_0 + - freetype=2.12.1=hca18f0e_1 - hdf4=4.2.15=h9772cbc_5 - krb5=1.19.3=h08a2579_0 - - libglib=2.74.1=h7a41b64_0 + - libglib=2.74.1=h606061b_1 + - libhwloc=2.8.0=h32351e8_1 - libtiff=4.4.0=h55922b4_4 - - mkl=2022.1.0=h84fe81f_915 - - sqlite=3.39.4=h4ff8645_0 + - nss=3.82=he02c5a1_0 + - python=3.9.15=hba424b6_0_cpython + - sqlite=3.40.0=h4ff8645_0 - xorg-libx11=1.7.2=h7f98852_0 - - brotli=1.0.9=h166bdaf_8 - - fontconfig=2.14.1=hc2a2eb6_0 - - lcms2=2.14=h6ed2654_0 - - libblas=3.9.0=16_linux64_mkl - - libcurl=7.86.0=h2283fc2_0 - - libkml=1.3.0=h37653c0_1015 - - libpq=14.5=he2d8382_1 - - nss=3.78=h2350873_0 - - openjpeg=2.5.0=h7d73246_1 - - python=3.9.13=h2660328_0_cpython - - xorg-libxext=1.3.4=h7f98852_1 - - xorg-libxrender=0.9.10=h7f98852_1003 - asciitree=0.3.3=py_2 - attrs=22.1.0=pyh71513ae_1 - backcall=0.2.0=pyh9f0ad1d_0 - - backports=1.0=py_2 - - brunsli=0.1=h9c3ff4c_0 + - backports=1.0=pyhd8ed1ab_3 + - brotli=1.0.9=h166bdaf_8 + - brotli-python=1.0.9=py39h5a03fae_8 - cached_property=1.5.2=pyha770c72_1 - - cairo=1.16.0=ha61ee94_1014 - - certifi=2022.9.24=pyhd8ed1ab_0 - - cfitsio=4.1.0=hd9d235c_0 + - certifi=2022.12.7=pyhd8ed1ab_0 - charset-normalizer=2.1.1=pyhd8ed1ab_0 - click=8.1.3=unix_pyhd8ed1ab_2 - cloudpickle=2.2.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 - - curl=7.86.0=h2283fc2_0 - cycler=0.11.0=pyhd8ed1ab_0 + - debugpy=1.6.4=py39h5a03fae_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - dill=0.3.6=pyhd8ed1ab_1 - entrypoints=0.4=pyhd8ed1ab_0 - - exceptiongroup=1.0.0=pyhd8ed1ab_0 + - exceptiongroup=1.0.4=pyhd8ed1ab_0 - executing=1.2.0=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - flit-core=3.7.1=pyhd8ed1ab_0 - - fsspec=2022.10.0=pyhd8ed1ab_0 + - flit-core=3.8.0=pyhd8ed1ab_0 + - fontconfig=2.14.1=hc2a2eb6_0 + - fsspec=2022.11.0=pyhd8ed1ab_0 - future=0.18.2=pyhd8ed1ab_6 - - hdf5=1.12.2=nompi_h4df4325_100 - heapdict=1.0.1=py_0 - idna=3.4=pyhd8ed1ab_0 - iniconfig=1.1.1=pyh9f0ad1d_0 - ipython_genutils=0.2.0=py_1 - itsdangerous=2.1.2=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.1=pyhd8ed1ab_0 - - libcblas=3.9.0=16_linux64_mkl - - liblapack=3.9.0=16_linux64_mkl + - kiwisolver=1.4.4=py39hf939315_1 + - lazy-object-proxy=1.8.0=py39hb9d737c_0 + - lcms2=2.14=h6ed2654_0 + - libcurl=7.86.0=h2283fc2_1 + - libkml=1.3.0=h37653c0_1015 + - libpq=15.1=h67c24c5_1 + - llvmlite=0.39.1=py39h7d9a04d_1 - locket=1.0.0=pyhd8ed1ab_0 + - markupsafe=2.1.1=py39hb9d737c_2 - mccabe=0.7.0=pyhd8ed1ab_0 - mistune=2.0.4=pyhd8ed1ab_0 + - msgpack-python=1.0.4=py39hf939315_1 - munkres=1.1.4=pyh9f0ad1d_0 - nest-asyncio=1.5.6=pyhd8ed1ab_0 - - networkx=2.8.7=pyhd8ed1ab_0 + - networkx=2.8.8=pyhd8ed1ab_0 + - openjpeg=2.5.0=h7d73246_1 + - packaging=22.0=pyhd8ed1ab_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.3=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0 - - platformdirs=2.5.2=pyhd8ed1ab_1 + - platformdirs=2.6.0=pyhd8ed1ab_0 - pluggy=1.0.0=pyhd8ed1ab_5 - - postgresql=14.5=ha105346_1 - - proj=9.1.0=h93bde94_0 - prometheus_client=0.15.0=pyhd8ed1ab_0 + - psutil=5.9.4=py39hb9d737c_0 - ptyprocess=0.7.0=pyhd3deb0d_0 - pure_eval=0.2.2=pyhd8ed1ab_0 - pycparser=2.21=pyhd8ed1ab_0 - pyparsing=3.0.9=pyhd8ed1ab_0 + - pyrsistent=0.19.2=py39hb9d737c_0 - pysocks=1.7.1=pyha2e5f31_6 - python-fastjsonschema=2.16.2=pyhd8ed1ab_0 - - python_abi=3.9=2_cp39 - - pytz=2022.5=pyhd8ed1ab_0 + - pytz=2022.6=pyhd8ed1ab_0 + - pyyaml=6.0=py39hb9d737c_5 + - pyzmq=24.0.1=py39headdf64_1 - send2trash=1.8.0=pyhd8ed1ab_0 - - setuptools=65.5.0=pyhd8ed1ab_0 + - setuptools=65.5.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.0=pyhd8ed1ab_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - soupsieve=2.3.2.post1=pyhd8ed1ab_0 + - tbb=2021.7.0=h924138e_1 - tblib=1.7.0=pyhd8ed1ab_0 - tenacity=8.1.0=pyhd8ed1ab_0 - threadpoolctl=3.1.0=pyh8a188c0_0 - toml=0.10.2=pyhd8ed1ab_0 - tomli=2.0.1=pyhd8ed1ab_0 - toolz=0.12.0=pyhd8ed1ab_0 - - traitlets=5.5.0=pyhd8ed1ab_0 + - tornado=6.1=py39hb9d737c_3 + - traitlets=5.7.1=pyhd8ed1ab_0 - typing=3.10.0.0=pyhd8ed1ab_0 - typing_extensions=4.4.0=pyha770c72_0 + - unicodedata2=15.0.0=py39hb9d737c_0 - utm=0.7.0=pyhd8ed1ab_0 - webencodings=0.5.1=py_1 - - websocket-client=1.4.1=pyhd8ed1ab_0 - - wheel=0.37.1=pyhd8ed1ab_0 - - xerces-c=3.2.4=h55805fa_1 - - zipp=3.10.0=pyhd8ed1ab_0 + - websocket-client=1.4.2=pyhd8ed1ab_0 + - wheel=0.38.4=pyhd8ed1ab_0 + - wrapt=1.14.1=py39hb9d737c_1 + - xorg-libxext=1.3.4=h7f98852_1 + - xorg-libxrender=0.9.10=h7f98852_1003 + - zipp=3.11.0=pyhd8ed1ab_0 - ansi2html=1.8.0=py39hf3d152e_1 - anyio=3.6.2=pyhd8ed1ab_0 - - asttokens=2.1.0=pyhd8ed1ab_0 + - asttokens=2.2.1=pyhd8ed1ab_0 - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 - beautifulsoup4=4.11.1=pyha770c72_0 - - brotli-python=1.0.9=py39h5a03fae_8 + - bleach=5.0.1=pyhd8ed1ab_0 + - brunsli=0.1=h9c3ff4c_0 - cached-property=1.5.2=hd8ed1ab_1 + - cairo=1.16.0=ha61ee94_1014 - cffi=1.15.1=py39he91dace_2 + - cfitsio=4.2.0=hd9d235c_0 - click-plugins=1.1.1=py_0 - cligj=0.7.2=pyhd8ed1ab_1 + - comm=0.1.2=pyhd8ed1ab_0 - coverage=6.5.0=py39hb9d737c_1 + - curl=7.86.0=h2283fc2_1 - cytoolz=0.12.0=py39hb9d737c_1 - - debugpy=1.6.3=py39h5a03fae_1 - - geotiff=1.7.1=ha76d385_4 - - importlib-metadata=5.0.0=pyha770c72_1 - - importlib_resources=5.10.0=pyhd8ed1ab_0 - - isort=5.10.1=pyhd8ed1ab_0 - - jedi=0.18.1=pyhd8ed1ab_2 + - fonttools=4.38.0=py39hb9d737c_1 + - hdf5=1.12.2=nompi_h4df4325_100 + - importlib-metadata=5.1.0=pyha770c72_0 + - importlib_resources=5.10.1=pyhd8ed1ab_0 + - isort=5.11.1=pyhd8ed1ab_0 + - jedi=0.18.2=pyhd8ed1ab_0 + - jinja2=3.1.2=pyhd8ed1ab_1 - joblib=1.2.0=pyhd8ed1ab_0 - - jupyter_core=4.11.1=py39hf3d152e_1 - - kealib=1.4.15=ha7026e8_1 - - kiwisolver=1.4.4=py39hf939315_1 - - lazy-object-proxy=1.8.0=py39hb9d737c_0 - - libdap4=3.20.6=hd7c4107_2 - - libnetcdf=4.8.1=nompi_h261ec11_106 - - libspatialite=5.0.1=hfbd986c_21 - - llvmlite=0.39.1=py39h7d9a04d_1 - - markupsafe=2.1.1=py39hb9d737c_2 + - jupyter_core=5.1.0=py39hf3d152e_0 - matplotlib-inline=0.1.6=pyhd8ed1ab_0 - - msgpack-python=1.0.4=py39hf939315_1 + - mkl=2022.2.1=h84fe81f_16997 - munch=2.5.0=py_0 - - numpy=1.23.4=py39h3d75532_1 - - packaging=21.3=pyhd8ed1ab_0 - partd=1.3.0=pyhd8ed1ab_0 - pexpect=4.8.0=pyh1a96a4e_2 - pillow=9.2.0=py39hf3a2cdf_3 - - pip=22.3=pyhd8ed1ab_0 - - plotly=5.11.0=pyhd8ed1ab_0 - - poppler=22.10.0=h92391eb_0 - - psutil=5.9.3=py39hb9d737c_1 + - pip=22.3.1=pyhd8ed1ab_0 + - plotly=5.11.0=pyhd8ed1ab_1 + - postgresql=15.1=ha105346_1 + - proj=9.1.0=h93bde94_0 - pygments=2.13.0=pyhd8ed1ab_0 - - pyrsistent=0.18.1=py39hb9d737c_2 + - pytest=7.2.0=pyhd8ed1ab_2 - python-dateutil=2.8.2=pyhd8ed1ab_0 - - pyyaml=6.0=py39hb9d737c_5 - - pyzmq=24.0.1=py39headdf64_1 - retrying=1.3.3=py_2 - - tiledb=2.11.3=h3f4058f_1 + - terminado=0.17.1=pyh41d4057_0 - tinycss2=1.2.1=pyhd8ed1ab_0 - tomlkit=0.11.6=pyha770c72_0 - - tornado=6.1=py39hb9d737c_3 - tqdm=4.64.1=pyhd8ed1ab_0 - typing-extensions=4.4.0=hd8ed1ab_0 - - unicodedata2=15.0.0=py39hb9d737c_0 - - wrapt=1.14.1=py39hb9d737c_1 + - werkzeug=2.2.2=pyhd8ed1ab_0 + - xerces-c=3.2.4=h55805fa_1 - zict=2.2.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py39hb9d737c_3 - - astroid=2.12.12=py39hf3d152e_1 - - bleach=5.0.1=pyhd8ed1ab_0 + - astroid=2.12.13=py39hf3d152e_0 - brotlipy=0.7.0=py39hb9d737c_1005 - - contourpy=1.0.6=py39hf939315_0 - - cryptography=38.0.2=py39h3ccb8fc_2 + - cryptography=38.0.4=py39h3ccb8fc_0 - dask-core=2022.10.0=pyhd8ed1ab_2 - - fonttools=4.38.0=py39hb9d737c_1 - - h5py=3.7.0=nompi_py39h817c9c5_102 - - imagecodecs=2022.9.26=py39h702eeef_3 - - imageio=2.22.0=pyhfa7a67d_0 - - jinja2=3.1.2=pyhd8ed1ab_1 - - jsonschema=4.16.0=pyhd8ed1ab_0 + - flask=2.2.2=pyhd8ed1ab_0 + - geotiff=1.7.1=ha76d385_4 + - jsonschema=4.17.3=pyhd8ed1ab_0 - jupyter_client=7.3.4=pyhd8ed1ab_0 - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 - - libgdal=3.5.3=h27ae5c1_0 - - numba=0.56.3=py39h61ddf18_0 + - kealib=1.5.0=ha7026e8_0 + - libblas=3.9.0=16_linux64_mkl + - libnetcdf=4.8.1=nompi_h261ec11_106 + - libspatialite=5.0.1=h7c8129e_22 + - poppler=22.12.0=h92391eb_0 + - pytest-cov=3.0.0=pyhd8ed1ab_0 + - stack_data=0.6.2=pyhd8ed1ab_0 + - tiledb=2.13.0=h3f4058f_0 + - wcwidth=0.2.5=pyh9f0ad1d_2 + - argon2-cffi=21.3.0=pyhd8ed1ab_0 + - flask-compress=1.13=pyhd8ed1ab_0 + - libcblas=3.9.0=16_linux64_mkl + - libgdal=3.6.0=h4fca5ce_14 + - liblapack=3.9.0=16_linux64_mkl + - nbformat=5.7.0=pyhd8ed1ab_0 + - prompt-toolkit=3.0.36=pyha770c72_0 + - pylint=2.15.8=pyhd8ed1ab_0 + - pyopenssl=22.1.0=pyhd8ed1ab_0 + - dash=2.7.1=pyhd8ed1ab_0 + - ipython=8.7.0=pyh41d4057_0 + - nbclient=0.7.2=pyhd8ed1ab_0 + - numpy=1.23.5=py39h3d75532_0 + - urllib3=1.26.13=pyhd8ed1ab_0 + - contourpy=1.0.6=py39hf939315_0 + - dash-daq=0.5.0=pyh9f0ad1d_1 + - distributed=2022.10.0=pyhd8ed1ab_2 + - gdal=3.6.0=py39hc6cd174_14 + - h5py=3.7.0=nompi_py39h817c9c5_102 + - imagecodecs=2022.9.26=py39hf32c164_4 + - imageio=2.22.4=pyhfa7a67d_1 + - ipykernel=6.19.2=pyh210e3f2_0 + - nbconvert-core=7.2.6=pyhd8ed1ab_0 + - numba=0.56.4=py39h61ddf18_0 - numcodecs=0.10.2=py39h5a03fae_0 - - pandas=1.5.1=py39h4661b88_1 - - pytest=7.2.0=pyhd8ed1ab_2 + - pandas=1.5.2=py39h4661b88_0 - pywavelets=1.3.0=py39h2ae25f5_2 - - scipy=1.9.3=py39hddc5342_1 - - shapely=1.8.5=py39h5b5020f_1 - - stack_data=0.6.0=pyhd8ed1ab_0 - - terminado=0.17.0=pyh41d4057_0 + - requests=2.28.1=pyhd8ed1ab_1 + - scipy=1.9.3=py39hddc5342_2 + - shapely=2.0.0=py39hc9151fd_0 - vectormath=0.2.2=py_0 - - wcwidth=0.2.5=pyh9f0ad1d_2 - - werkzeug=2.2.2=pyhd8ed1ab_0 - - argon2-cffi=21.3.0=pyhd8ed1ab_0 - discretize=0.7.4=py39hac2352c_0 - empymod=2.2.1=pyhd8ed1ab_0 - - flask=2.2.2=pyhd8ed1ab_0 - - gdal=3.5.3=py39h5cb30a4_0 - - matplotlib-base=3.6.1=py39hf9fd14e_1 - - nbformat=5.7.0=pyhd8ed1ab_0 - - prompt-toolkit=3.0.31=pyha770c72_0 + - fiona=1.8.22=py39hbc5ff6d_3 + - jupyter-dash=0.4.2=pyhd8ed1ab_1 + - jupyter_server=1.23.3=pyhd8ed1ab_0 + - matplotlib-base=3.6.2=py39hf9fd14e_0 + - nbconvert-pandoc=7.2.6=pyhd8ed1ab_0 - properties=0.6.1=py_0 - pydiso=0.0.3=py39h051f8f4_4 - - pylint=2.15.5=pyhd8ed1ab_0 - - pyopenssl=22.1.0=pyhd8ed1ab_0 - - pytest-cov=3.0.0=pyhd8ed1ab_0 - - scikit-learn=1.1.3=py39hd5c8da3_1 + - scikit-learn=1.2.0=py39h86b2a18_0 - tifffile=2022.10.10=pyhd8ed1ab_0 - zarr=2.13.3=pyhd8ed1ab_0 - - fiona=1.8.22=py39h80939cc_1 - - flask-compress=1.13=pyhd8ed1ab_0 - geoana=0.0.6=py_1 - - ipython=8.6.0=pyh41d4057_1 - - nbclient=0.7.0=pyhd8ed1ab_0 + - nbconvert=7.2.6=pyhd8ed1ab_0 + - notebook-shim=0.2.2=pyhd8ed1ab_0 - pymatsolver=0.2.0=pyhd8ed1ab_0 - scikit-image=0.19.3=py39h4661b88_2 - - urllib3=1.26.11=pyhd8ed1ab_0 - - dash=2.6.2=pyhd8ed1ab_0 - - distributed=2022.10.0=pyhd8ed1ab_2 - - ipykernel=6.17.0=pyh210e3f2_0 - - nbconvert-core=7.2.3=pyhd8ed1ab_0 - - requests=2.28.1=pyhd8ed1ab_1 - - dash-daq=0.5.0=pyh9f0ad1d_1 - - jupyter-dash=0.4.2=pyhd8ed1ab_1 - - jupyter_server=1.21.0=pyhd8ed1ab_0 - - nbconvert-pandoc=7.2.3=pyhd8ed1ab_0 - - nbconvert=7.2.3=pyhd8ed1ab_0 - - notebook-shim=0.2.0=pyhd8ed1ab_0 - - nbclassic=0.4.5=pyhd8ed1ab_0 - - notebook=6.5.1=pyha770c72_0 + - nbclassic=0.4.8=pyhd8ed1ab_0 + - notebook=6.5.2=pyha770c72_1 - widgetsnbextension=3.6.1=pyha770c72_0 - ipywidgets=7.7.2=pyhd8ed1ab_0 - ipyfilechooser=0.6.0=pyhd8ed1ab_0 - pip: - geoh5py === 0.5.0 - simpeg-archive === 0.9.1.dev5 - - mira-simpeg === 0.15.1.dev6 + - mira-simpeg === 0.15.1.dev7 + - param-sweeps === 0.1.3 variables: KMP_WARNINGS: 0 diff --git a/environments/conda-py-3.9-linux-64.lock.yml b/environments/conda-py-3.9-linux-64.lock.yml index a29e75100..59bbf7c5e 100644 --- a/environments/conda-py-3.9-linux-64.lock.yml +++ b/environments/conda-py-3.9-linux-64.lock.yml @@ -1,25 +1,27 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 8ecdd0d8c7d7d17c0e3a4ad1c0eb249ab1ddaf023e1e0ef702bac2e9095ad55c +# input_hash: daa1fce94ec304f011441ccd301c2475f70934db04381131a31923b2cea3797c channels: - conda-forge - defaults dependencies: - _libgcc_mutex=0.1=conda_forge - - ca-certificates=2022.9.24=ha878542_0 + - ca-certificates=2022.12.7=ha878542_0 - font-ttf-dejavu-sans-mono=2.37=hab24e00_0 - font-ttf-inconsolata=3.000=h77eed37_0 - font-ttf-source-code-pro=2.038=h77eed37_0 - font-ttf-ubuntu=0.83=hab24e00_0 - - ld_impl_linux-64=2.39=hc81fddc_0 + - ld_impl_linux-64=2.39=hcc3a1bd_1 - libgfortran5=12.2.0=h337968e_19 - libstdcxx-ng=12.2.0=h46fd767_19 - poppler-data=0.4.11=hd8ed1ab_0 - - tzdata=2022f=h191b570_0 + - python_abi=3.9=3_cp39 + - tzdata=2022g=h191b570_0 - fonts-conda-forge=1=0 - libgfortran-ng=12.2.0=h69a702a_19 - fonts-conda-ecosystem=1=0 + - _ipython_minor_entry_point=8.7.0=h8cf3c4a_0 - _openmp_mutex=4.5=2_kmp_llvm - libgcc-ng=12.2.0=h65d4601_19 - aom=3.5.0=h27087fc_0 @@ -29,7 +31,7 @@ dependencies: - dav1d=1.0.0=h166bdaf_1 - expat=2.5.0=h27087fc_0 - freexl=1.0.6=h166bdaf_1 - - geos=3.11.0=h27087fc_0 + - geos=3.11.1=h27087fc_0 - gettext=0.21.1=h27087fc_0 - giflib=5.2.1=h36c2ea0_2 - icu=70.1=h27087fc_0 @@ -52,14 +54,13 @@ dependencies: - libzopfli=1.0.3=h9c3ff4c_0 - lz4-c=1.9.3=h9c3ff4c_1 - ncurses=6.3=h27087fc_1 - - nspr=4.32=h9c3ff4c_1 - - openssl=3.0.7=h166bdaf_0 - - pcre=8.45=h9c3ff4c_0 + - nspr=4.35=h27087fc_0 + - openssl=3.0.7=h0b41bf4_1 - pixman=0.40.0=h36c2ea0_0 - pthread-stubs=0.4=h36c2ea0_1001 - - snappy=1.1.9=hbd366e4_1 - - tbb=2021.6.0=h924138e_1 - - tzcode=2022e=h166bdaf_0 + - qhull=2020.2=h4bd325d_2 + - snappy=1.1.9=hbd366e4_2 + - tzcode=2022g=h166bdaf_0 - xorg-kbproto=1.0.7=h7f98852_1002 - xorg-libice=1.0.10=h7f98852_0 - xorg-libxau=1.0.9=h7f98852_0 @@ -77,230 +78,232 @@ dependencies: - libedit=3.1.20191231=he28a2e2_2 - libllvm11=11.1.0=he0ac6c6_5 - libnghttp2=1.47.0=hff17c54_1 - - libpng=1.6.38=h753d276_0 - - librttopo=1.1.0=hf730bdb_11 - - libsqlite=3.39.4=h753d276_0 + - libpng=1.6.39=h753d276_0 + - librttopo=1.1.0=ha49c73b_12 + - libsqlite=3.40.0=h753d276_0 - libssh2=1.10.0=hf14f497_3 - libxcb=1.13=h7f98852_1004 - libxml2=2.10.3=h7463322_0 - libzip=1.9.2=hc929e4a_1 - - llvm-openmp=14.0.4=he0ac6c6_0 + - llvm-openmp=15.0.6=he0ac6c6_0 - pandoc=2.19.2=h32600fe_1 - - pcre2=10.37=hc3806b6_1 + - pcre2=10.40=hc3806b6_0 - readline=8.1.2=h0f457ee_0 - tk=8.6.12=h27826a3_0 - xorg-libsm=1.2.3=hd9c2040_1000 - zeromq=4.3.4=h9c3ff4c_1 - zlib=1.2.13=h166bdaf_4 - zstd=1.5.2=h6239696_4 - - blosc=1.21.1=h83bc5f7_3 + - blosc=1.21.2=hafa529b_0 - boost-cpp=1.78.0=h75c5d50_1 - brotli-bin=1.0.9=h166bdaf_8 - - c-blosc2=2.4.3=h7a311fb_0 - - freetype=2.12.1=hca18f0e_0 + - c-blosc2=2.6.0=hf91038e_0 + - freetype=2.12.1=hca18f0e_1 - hdf4=4.2.15=h9772cbc_5 - krb5=1.19.3=h08a2579_0 - - libglib=2.74.1=h7a41b64_0 + - libglib=2.74.1=h606061b_1 + - libhwloc=2.8.0=h32351e8_1 - libtiff=4.4.0=h55922b4_4 - - mkl=2022.1.0=h84fe81f_915 - - sqlite=3.39.4=h4ff8645_0 + - nss=3.82=he02c5a1_0 + - python=3.9.15=hba424b6_0_cpython + - sqlite=3.40.0=h4ff8645_0 - xorg-libx11=1.7.2=h7f98852_0 - - brotli=1.0.9=h166bdaf_8 - - fontconfig=2.14.1=hc2a2eb6_0 - - lcms2=2.14=h6ed2654_0 - - libblas=3.9.0=16_linux64_mkl - - libcurl=7.86.0=h2283fc2_0 - - libkml=1.3.0=h37653c0_1015 - - libpq=14.5=he2d8382_1 - - nss=3.78=h2350873_0 - - openjpeg=2.5.0=h7d73246_1 - - python=3.9.13=h2660328_0_cpython - - xorg-libxext=1.3.4=h7f98852_1 - - xorg-libxrender=0.9.10=h7f98852_1003 - asciitree=0.3.3=py_2 - backcall=0.2.0=pyh9f0ad1d_0 - - backports=1.0=py_2 - - brunsli=0.1=h9c3ff4c_0 + - backports=1.0=pyhd8ed1ab_3 + - brotli=1.0.9=h166bdaf_8 + - brotli-python=1.0.9=py39h5a03fae_8 - cached_property=1.5.2=pyha770c72_1 - - cairo=1.16.0=ha61ee94_1014 - - certifi=2022.9.24=pyhd8ed1ab_0 - - cfitsio=4.1.0=hd9d235c_0 + - certifi=2022.12.7=pyhd8ed1ab_0 - click=8.1.3=unix_pyhd8ed1ab_2 - cloudpickle=2.2.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 - - curl=7.86.0=h2283fc2_0 - cycler=0.11.0=pyhd8ed1ab_0 + - debugpy=1.6.4=py39h5a03fae_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - entrypoints=0.4=pyhd8ed1ab_0 - executing=1.2.0=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - flit-core=3.7.1=pyhd8ed1ab_0 - - fsspec=2022.10.0=pyhd8ed1ab_0 + - flit-core=3.8.0=pyhd8ed1ab_0 + - fontconfig=2.14.1=hc2a2eb6_0 + - fsspec=2022.11.0=pyhd8ed1ab_0 - future=0.18.2=pyhd8ed1ab_6 - - hdf5=1.12.2=nompi_h4df4325_100 - heapdict=1.0.1=py_0 - idna=3.4=pyhd8ed1ab_0 - ipython_genutils=0.2.0=py_1 - itsdangerous=2.1.2=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.1=pyhd8ed1ab_0 - - libcblas=3.9.0=16_linux64_mkl - - liblapack=3.9.0=16_linux64_mkl + - kiwisolver=1.4.4=py39hf939315_1 + - lcms2=2.14=h6ed2654_0 + - libcurl=7.86.0=h2283fc2_1 + - libkml=1.3.0=h37653c0_1015 + - libpq=15.1=h67c24c5_1 + - llvmlite=0.39.1=py39h7d9a04d_1 - locket=1.0.0=pyhd8ed1ab_0 + - markupsafe=2.1.1=py39hb9d737c_2 - mistune=2.0.4=pyhd8ed1ab_0 + - msgpack-python=1.0.4=py39hf939315_1 - munkres=1.1.4=pyh9f0ad1d_0 - nest-asyncio=1.5.6=pyhd8ed1ab_0 - - networkx=2.8.7=pyhd8ed1ab_0 + - networkx=2.8.8=pyhd8ed1ab_0 + - openjpeg=2.5.0=h7d73246_1 + - packaging=22.0=pyhd8ed1ab_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.3=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0 - - postgresql=14.5=ha105346_1 - - proj=9.1.0=h93bde94_0 - prometheus_client=0.15.0=pyhd8ed1ab_0 + - psutil=5.9.4=py39hb9d737c_0 - ptyprocess=0.7.0=pyhd3deb0d_0 - pure_eval=0.2.2=pyhd8ed1ab_0 - pycparser=2.21=pyhd8ed1ab_0 - pyparsing=3.0.9=pyhd8ed1ab_0 + - pyrsistent=0.19.2=py39hb9d737c_0 - pysocks=1.7.1=pyha2e5f31_6 - python-fastjsonschema=2.16.2=pyhd8ed1ab_0 - - python_abi=3.9=2_cp39 - - pytz=2022.5=pyhd8ed1ab_0 + - pytz=2022.6=pyhd8ed1ab_0 + - pyyaml=6.0=py39hb9d737c_5 + - pyzmq=24.0.1=py39headdf64_1 - send2trash=1.8.0=pyhd8ed1ab_0 - - setuptools=65.5.0=pyhd8ed1ab_0 + - setuptools=65.5.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.0=pyhd8ed1ab_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - soupsieve=2.3.2.post1=pyhd8ed1ab_0 + - tbb=2021.7.0=h924138e_1 - tblib=1.7.0=pyhd8ed1ab_0 - tenacity=8.1.0=pyhd8ed1ab_0 - threadpoolctl=3.1.0=pyh8a188c0_0 - toolz=0.12.0=pyhd8ed1ab_0 - - traitlets=5.5.0=pyhd8ed1ab_0 + - tornado=6.1=py39hb9d737c_3 + - traitlets=5.7.1=pyhd8ed1ab_0 - typing_extensions=4.4.0=pyha770c72_0 + - unicodedata2=15.0.0=py39hb9d737c_0 - utm=0.7.0=pyhd8ed1ab_0 - webencodings=0.5.1=py_1 - - websocket-client=1.4.1=pyhd8ed1ab_0 - - wheel=0.37.1=pyhd8ed1ab_0 - - xerces-c=3.2.4=h55805fa_1 - - zipp=3.10.0=pyhd8ed1ab_0 + - websocket-client=1.4.2=pyhd8ed1ab_0 + - wheel=0.38.4=pyhd8ed1ab_0 + - xorg-libxext=1.3.4=h7f98852_1 + - xorg-libxrender=0.9.10=h7f98852_1003 + - zipp=3.11.0=pyhd8ed1ab_0 - ansi2html=1.8.0=py39hf3d152e_1 - anyio=3.6.2=pyhd8ed1ab_0 - - asttokens=2.1.0=pyhd8ed1ab_0 + - asttokens=2.2.1=pyhd8ed1ab_0 - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 - beautifulsoup4=4.11.1=pyha770c72_0 - - brotli-python=1.0.9=py39h5a03fae_8 + - bleach=5.0.1=pyhd8ed1ab_0 + - brunsli=0.1=h9c3ff4c_0 - cached-property=1.5.2=hd8ed1ab_1 + - cairo=1.16.0=ha61ee94_1014 - cffi=1.15.1=py39he91dace_2 + - cfitsio=4.2.0=hd9d235c_0 - click-plugins=1.1.1=py_0 - cligj=0.7.2=pyhd8ed1ab_1 + - comm=0.1.2=pyhd8ed1ab_0 + - curl=7.86.0=h2283fc2_1 - cytoolz=0.12.0=py39hb9d737c_1 - - debugpy=1.6.3=py39h5a03fae_1 - - geotiff=1.7.1=ha76d385_4 - - importlib-metadata=5.0.0=pyha770c72_1 - - importlib_resources=5.10.0=pyhd8ed1ab_0 - - jedi=0.18.1=pyhd8ed1ab_2 + - fonttools=4.38.0=py39hb9d737c_1 + - hdf5=1.12.2=nompi_h4df4325_100 + - importlib-metadata=5.1.0=pyha770c72_0 + - importlib_resources=5.10.1=pyhd8ed1ab_0 + - jedi=0.18.2=pyhd8ed1ab_0 + - jinja2=3.1.2=pyhd8ed1ab_1 - joblib=1.2.0=pyhd8ed1ab_0 - - jupyter_core=4.11.1=py39hf3d152e_1 - - kealib=1.4.15=ha7026e8_1 - - kiwisolver=1.4.4=py39hf939315_1 - - libdap4=3.20.6=hd7c4107_2 - - libnetcdf=4.8.1=nompi_h261ec11_106 - - libspatialite=5.0.1=hfbd986c_21 - - llvmlite=0.39.1=py39h7d9a04d_1 - - markupsafe=2.1.1=py39hb9d737c_2 + - jupyter_core=5.1.0=py39hf3d152e_0 - matplotlib-inline=0.1.6=pyhd8ed1ab_0 - - msgpack-python=1.0.4=py39hf939315_1 + - mkl=2022.2.1=h84fe81f_16997 - munch=2.5.0=py_0 - - numpy=1.23.4=py39h3d75532_1 - - packaging=21.3=pyhd8ed1ab_0 - partd=1.3.0=pyhd8ed1ab_0 - pexpect=4.8.0=pyh1a96a4e_2 - pillow=9.2.0=py39hf3a2cdf_3 - - pip=22.3=pyhd8ed1ab_0 - - plotly=5.11.0=pyhd8ed1ab_0 - - poppler=22.10.0=h92391eb_0 - - psutil=5.9.3=py39hb9d737c_1 + - pip=22.3.1=pyhd8ed1ab_0 + - plotly=5.11.0=pyhd8ed1ab_1 + - postgresql=15.1=ha105346_1 + - proj=9.1.0=h93bde94_0 - pygments=2.13.0=pyhd8ed1ab_0 - - pyrsistent=0.18.1=py39hb9d737c_2 - python-dateutil=2.8.2=pyhd8ed1ab_0 - - pyyaml=6.0=py39hb9d737c_5 - - pyzmq=24.0.1=py39headdf64_1 - retrying=1.3.3=py_2 - - tiledb=2.11.3=h3f4058f_1 + - terminado=0.17.1=pyh41d4057_0 - tinycss2=1.2.1=pyhd8ed1ab_0 - - tornado=6.1=py39hb9d737c_3 - tqdm=4.64.1=pyhd8ed1ab_0 - typing-extensions=4.4.0=hd8ed1ab_0 - - unicodedata2=15.0.0=py39hb9d737c_0 + - werkzeug=2.2.2=pyhd8ed1ab_0 + - xerces-c=3.2.4=h55805fa_1 - zict=2.2.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py39hb9d737c_3 - - bleach=5.0.1=pyhd8ed1ab_0 - brotlipy=0.7.0=py39hb9d737c_1005 - - contourpy=1.0.6=py39hf939315_0 - - cryptography=38.0.2=py39h3ccb8fc_2 + - cryptography=38.0.4=py39h3ccb8fc_0 - dask-core=2022.10.0=pyhd8ed1ab_2 - - fonttools=4.38.0=py39hb9d737c_1 - - h5py=3.7.0=nompi_py39h817c9c5_102 - - imagecodecs=2022.9.26=py39h702eeef_3 - - imageio=2.22.0=pyhfa7a67d_0 - - jinja2=3.1.2=pyhd8ed1ab_1 - - jsonschema=4.16.0=pyhd8ed1ab_0 + - flask=2.2.2=pyhd8ed1ab_0 + - geotiff=1.7.1=ha76d385_4 + - jsonschema=4.17.3=pyhd8ed1ab_0 - jupyter_client=7.3.4=pyhd8ed1ab_0 - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 - - libgdal=3.5.3=h27ae5c1_0 - - numba=0.56.3=py39h61ddf18_0 + - kealib=1.5.0=ha7026e8_0 + - libblas=3.9.0=16_linux64_mkl + - libnetcdf=4.8.1=nompi_h261ec11_106 + - libspatialite=5.0.1=h7c8129e_22 + - poppler=22.12.0=h92391eb_0 + - stack_data=0.6.2=pyhd8ed1ab_0 + - tiledb=2.13.0=h3f4058f_0 + - wcwidth=0.2.5=pyh9f0ad1d_2 + - argon2-cffi=21.3.0=pyhd8ed1ab_0 + - flask-compress=1.13=pyhd8ed1ab_0 + - libcblas=3.9.0=16_linux64_mkl + - libgdal=3.6.0=h4fca5ce_14 + - liblapack=3.9.0=16_linux64_mkl + - nbformat=5.7.0=pyhd8ed1ab_0 + - prompt-toolkit=3.0.36=pyha770c72_0 + - pyopenssl=22.1.0=pyhd8ed1ab_0 + - dash=2.7.1=pyhd8ed1ab_0 + - ipython=8.7.0=pyh41d4057_0 + - nbclient=0.7.2=pyhd8ed1ab_0 + - numpy=1.23.5=py39h3d75532_0 + - urllib3=1.26.13=pyhd8ed1ab_0 + - contourpy=1.0.6=py39hf939315_0 + - dash-daq=0.5.0=pyh9f0ad1d_1 + - distributed=2022.10.0=pyhd8ed1ab_2 + - gdal=3.6.0=py39hc6cd174_14 + - h5py=3.7.0=nompi_py39h817c9c5_102 + - imagecodecs=2022.9.26=py39hf32c164_4 + - imageio=2.22.4=pyhfa7a67d_1 + - ipykernel=6.19.2=pyh210e3f2_0 + - nbconvert-core=7.2.6=pyhd8ed1ab_0 + - numba=0.56.4=py39h61ddf18_0 - numcodecs=0.10.2=py39h5a03fae_0 - - pandas=1.5.1=py39h4661b88_1 + - pandas=1.5.2=py39h4661b88_0 - pywavelets=1.3.0=py39h2ae25f5_2 - - scipy=1.9.3=py39hddc5342_1 - - shapely=1.8.5=py39h5b5020f_1 - - stack_data=0.6.0=pyhd8ed1ab_0 - - terminado=0.17.0=pyh41d4057_0 + - scipy=1.9.3=py39hddc5342_2 + - shapely=2.0.0=py39hc9151fd_0 - vectormath=0.2.2=py_0 - - wcwidth=0.2.5=pyh9f0ad1d_2 - - werkzeug=2.2.2=pyhd8ed1ab_0 - - argon2-cffi=21.3.0=pyhd8ed1ab_0 - discretize=0.7.4=py39hac2352c_0 - empymod=2.2.1=pyhd8ed1ab_0 - - flask=2.2.2=pyhd8ed1ab_0 - - gdal=3.5.3=py39h5cb30a4_0 - - matplotlib-base=3.6.1=py39hf9fd14e_1 - - nbformat=5.7.0=pyhd8ed1ab_0 - - prompt-toolkit=3.0.31=pyha770c72_0 + - fiona=1.8.22=py39hbc5ff6d_3 + - jupyter-dash=0.4.2=pyhd8ed1ab_1 + - jupyter_server=1.23.3=pyhd8ed1ab_0 + - matplotlib-base=3.6.2=py39hf9fd14e_0 + - nbconvert-pandoc=7.2.6=pyhd8ed1ab_0 - properties=0.6.1=py_0 - pydiso=0.0.3=py39h051f8f4_4 - - pyopenssl=22.1.0=pyhd8ed1ab_0 - - scikit-learn=1.1.3=py39hd5c8da3_1 + - scikit-learn=1.2.0=py39h86b2a18_0 - tifffile=2022.10.10=pyhd8ed1ab_0 - zarr=2.13.3=pyhd8ed1ab_0 - - fiona=1.8.22=py39h80939cc_1 - - flask-compress=1.13=pyhd8ed1ab_0 - geoana=0.0.6=py_1 - - ipython=8.6.0=pyh41d4057_1 - - nbclient=0.7.0=pyhd8ed1ab_0 + - nbconvert=7.2.6=pyhd8ed1ab_0 + - notebook-shim=0.2.2=pyhd8ed1ab_0 - pymatsolver=0.2.0=pyhd8ed1ab_0 - scikit-image=0.19.3=py39h4661b88_2 - - urllib3=1.26.11=pyhd8ed1ab_0 - - dash=2.6.2=pyhd8ed1ab_0 - - distributed=2022.10.0=pyhd8ed1ab_2 - - ipykernel=6.17.0=pyh210e3f2_0 - - nbconvert-core=7.2.3=pyhd8ed1ab_0 - - dash-daq=0.5.0=pyh9f0ad1d_1 - - jupyter-dash=0.4.2=pyhd8ed1ab_1 - - jupyter_server=1.21.0=pyhd8ed1ab_0 - - nbconvert-pandoc=7.2.3=pyhd8ed1ab_0 - - nbconvert=7.2.3=pyhd8ed1ab_0 - - notebook-shim=0.2.0=pyhd8ed1ab_0 - - nbclassic=0.4.5=pyhd8ed1ab_0 - - notebook=6.5.1=pyha770c72_0 + - nbclassic=0.4.8=pyhd8ed1ab_0 + - notebook=6.5.2=pyha770c72_1 - widgetsnbextension=3.6.1=pyha770c72_0 - ipywidgets=7.7.2=pyhd8ed1ab_0 - ipyfilechooser=0.6.0=pyhd8ed1ab_0 - pip: - geoh5py === 0.5.0 - simpeg-archive === 0.9.1.dev5 - - mira-simpeg === 0.15.1.dev6 + - mira-simpeg === 0.15.1.dev7 + - param-sweeps === 0.1.3 variables: KMP_WARNINGS: 0 diff --git a/environments/conda-py-3.9-osx-64-dev.lock.yml b/environments/conda-py-3.9-osx-64-dev.lock.yml index 2022e7476..66d0c90be 100644 --- a/environments/conda-py-3.9-osx-64-dev.lock.yml +++ b/environments/conda-py-3.9-osx-64-dev.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: osx-64 -# input_hash: 8a80e23af8fa4dbfcd3a5f529e2618075ca38860292ce44bdcc0815f3b34f846 +# input_hash: 284495ae2c649446f0d8169218135f9f4f54592b15d46f3f5f18a7af461bd262 channels: - conda-forge @@ -8,7 +8,7 @@ channels: dependencies: - bzip2=1.0.8=h0d85af4_4 - c-ares=1.18.1=h0d85af4_0 - - ca-certificates=2022.9.24=h033912b_0 + - ca-certificates=2022.12.7=h033912b_0 - dav1d=1.0.0=hac89ed1_1 - font-ttf-dejavu-sans-mono=2.37=hab24e00_0 - font-ttf-inconsolata=3.000=h77eed37_0 @@ -28,14 +28,15 @@ dependencies: - libsodium=1.0.18=hbcb3906_1 - libwebp-base=1.2.4=h775f41a_0 - libzlib=1.2.13=hfd90126_4 - - llvm-openmp=14.0.4=ha654fa7_0 + - llvm-openmp=15.0.6=h61d9ccf_0 - ncurses=6.3=h96cf925_1 - pandoc=2.19.2=h694c41f_1 - pixman=0.40.0=hbcb3906_0 - poppler-data=0.4.11=hd8ed1ab_0 - pthread-stubs=0.4=hc929b4f_1001 - - tzcode=2022e=hb7f2c08_0 - - tzdata=2022f=h191b570_0 + - python_abi=3.9=3_cp39 + - tzcode=2022g=hb7f2c08_0 + - tzdata=2022g=h191b570_0 - xorg-libxau=1.0.9=h35c211d_0 - xorg-libxdmcp=1.1.3=h35c211d_0 - xz=5.2.6=h775f41a_0 @@ -45,7 +46,7 @@ dependencies: - charls=2.3.4=he49afe7_0 - expat=2.5.0=hf0c8a7f_0 - fonts-conda-forge=1=0 - - geos=3.11.0=hb486fe8_0 + - geos=3.11.1=hf0c8a7f_0 - gettext=0.21.1=h8a4c099_0 - icu=70.1=h96cf925_0 - lerc=4.0.0=hb486fe8_0 @@ -53,114 +54,117 @@ dependencies: - libbrotlidec=1.0.9=hb7f2c08_8 - libbrotlienc=1.0.9=hb7f2c08_8 - libedit=3.1.20191231=h0678c8f_2 - - libgfortran5=11.3.0=h082f757_25 + - libgfortran5=11.3.0=h082f757_26 - libllvm11=11.1.0=h8fb7429_5 - - libpng=1.6.38=ha978bb4_0 - - libsqlite=3.39.4=ha978bb4_0 + - libpng=1.6.39=ha978bb4_0 + - libsqlite=3.40.0=ha978bb4_0 - libxcb=1.13=h0d85af4_1004 - libzopfli=1.0.3=h046ec9c_0 - lz4-c=1.9.3=he49afe7_1 - - nspr=4.32=hcd9eead_1 - - openssl=3.0.7=hfd90126_0 - - pcre=8.45=he49afe7_0 - - pcre2=10.37=h3f55489_1 + - nspr=4.35=hea0b92c_0 + - openssl=3.0.7=hfd90126_1 + - pcre2=10.40=h1c4e4bc_0 + - qhull=2020.2=h940c156_2 - readline=8.1.2=h3899abd_0 - - snappy=1.1.9=h6e38e02_1 - - tbb=2021.6.0=hb8565cd_1 + - snappy=1.1.9=h225ccf5_2 + - tbb=2021.7.0=hb8565cd_1 - tk=8.6.12=h5dbffcc_0 - zeromq=4.3.4=he49afe7_1 - zfp=1.0.0=ha894c9a_3 - zlib=1.2.13=hfd90126_4 - zstd=1.5.2=hfa58983_4 - - blosc=1.21.1=h97e831e_3 + - blosc=1.21.2=hebb52c4_0 - boost-cpp=1.78.0=h8b082ac_1 - brotli-bin=1.0.9=hb7f2c08_8 - - c-blosc2=2.4.3=had5f71b_0 + - c-blosc2=2.6.0=had5f71b_0 - fonts-conda-ecosystem=1=0 - - freetype=2.12.1=h3f81eb7_0 + - freetype=2.12.1=h3f81eb7_1 - hdf4=4.2.15=h7aa5921_5 - krb5=1.19.3=hb98e516_0 - libavif=0.11.1=he9a59b1_0 - - libgfortran=5.0.0=10_4_0_h97931a8_25 - - libglib=2.74.1=h3ba3332_0 + - libgfortran=5.0.0=9_5_0_h97931a8_26 + - libglib=2.74.1=h4c723e1_1 - libnghttp2=1.47.0=h5aae05b_1 - - librttopo=1.1.0=he07d8f5_11 + - librttopo=1.1.0=h9461dca_12 - libssh2=1.10.0=h47af595_3 - libtiff=4.4.0=hdb44e8a_4 - libxml2=2.10.3=hb9e07b5_0 - libzip=1.9.2=h6db710c_1 - - mkl=2022.1.0=h860c996_928 - - sqlite=3.39.4=h9ae0607_0 - - brotli=1.0.9=hb7f2c08_8 - - fontconfig=2.14.1=h5bb23bf_0 - - lcms2=2.14=h90f4b2a_0 - - libblas=3.9.0=16_osx64_mkl - - libcurl=7.86.0=h581aaea_0 - - libkml=1.3.0=haeb80ef_1015 - - libpq=14.5=hd79e848_1 - - nss=3.78=ha8197d3_0 - - openjpeg=2.5.0=h5d0d7b0_1 - - python=3.9.13=hf8d34f4_0_cpython + - mkl=2022.2.1=h44ed08c_16952 + - python=3.9.15=h709bd14_0_cpython + - sqlite=3.40.0=h9ae0607_0 + - _ipython_minor_entry_point=8.7.0=h8cf3c4a_0 - appnope=0.1.3=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - attrs=22.1.0=pyh71513ae_1 - backcall=0.2.0=pyh9f0ad1d_0 - - backports=1.0=py_2 - - brunsli=0.1=h046ec9c_0 + - backports=1.0=pyhd8ed1ab_3 + - brotli=1.0.9=hb7f2c08_8 + - brotli-python=1.0.9=py39h7a8716b_8 - cached_property=1.5.2=pyha770c72_1 - - cairo=1.16.0=h904041c_1014 - - certifi=2022.9.24=pyhd8ed1ab_0 - - cfitsio=4.1.0=h2c97ad1_0 + - certifi=2022.12.7=pyhd8ed1ab_0 - charset-normalizer=2.1.1=pyhd8ed1ab_0 - click=8.1.3=unix_pyhd8ed1ab_2 - cloudpickle=2.2.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 - - curl=7.86.0=h581aaea_0 - cycler=0.11.0=pyhd8ed1ab_0 + - debugpy=1.6.4=py39h7a8716b_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - dill=0.3.6=pyhd8ed1ab_1 - entrypoints=0.4=pyhd8ed1ab_0 - - exceptiongroup=1.0.0=pyhd8ed1ab_0 + - exceptiongroup=1.0.4=pyhd8ed1ab_0 - executing=1.2.0=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - flit-core=3.7.1=pyhd8ed1ab_0 - - fsspec=2022.10.0=pyhd8ed1ab_0 + - flit-core=3.8.0=pyhd8ed1ab_0 + - fontconfig=2.14.1=h5bb23bf_0 + - fsspec=2022.11.0=pyhd8ed1ab_0 - future=0.18.2=pyhd8ed1ab_6 - - hdf5=1.12.2=nompi_h1f71328_100 - heapdict=1.0.1=py_0 - idna=3.4=pyhd8ed1ab_0 - iniconfig=1.1.1=pyh9f0ad1d_0 - ipython_genutils=0.2.0=py_1 - itsdangerous=2.1.2=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.1=pyhd8ed1ab_0 - - libcblas=3.9.0=16_osx64_mkl - - liblapack=3.9.0=16_osx64_mkl + - kiwisolver=1.4.4=py39h92daf61_1 + - lazy-object-proxy=1.8.0=py39ha30fb19_0 + - lcms2=2.14=h90f4b2a_0 + - libblas=3.9.0=16_osx64_mkl + - libcurl=7.86.0=h581aaea_1 + - libkml=1.3.0=haeb80ef_1015 + - libpq=15.1=hb1ae2b1_1 + - llvmlite=0.39.1=py39had167e2_1 - locket=1.0.0=pyhd8ed1ab_0 + - markupsafe=2.1.1=py39ha30fb19_2 - mccabe=0.7.0=pyhd8ed1ab_0 - mistune=2.0.4=pyhd8ed1ab_0 + - msgpack-python=1.0.4=py39h92daf61_1 - munkres=1.1.4=pyh9f0ad1d_0 - nest-asyncio=1.5.6=pyhd8ed1ab_0 - - networkx=2.8.7=pyhd8ed1ab_0 + - networkx=2.8.8=pyhd8ed1ab_0 + - nss=3.78=ha8197d3_0 + - openjpeg=2.5.0=h5d0d7b0_1 + - packaging=22.0=pyhd8ed1ab_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.3=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0 - - platformdirs=2.5.2=pyhd8ed1ab_1 + - platformdirs=2.6.0=pyhd8ed1ab_0 - pluggy=1.0.0=pyhd8ed1ab_5 - - postgresql=14.5=hae21482_1 - - proj=9.1.0=hcbd9701_0 - prometheus_client=0.15.0=pyhd8ed1ab_0 + - psutil=5.9.4=py39ha30fb19_0 - ptyprocess=0.7.0=pyhd3deb0d_0 - pure_eval=0.2.2=pyhd8ed1ab_0 - pycparser=2.21=pyhd8ed1ab_0 - pyparsing=3.0.9=pyhd8ed1ab_0 + - pyrsistent=0.19.2=py39ha30fb19_0 - pysocks=1.7.1=pyha2e5f31_6 - python-fastjsonschema=2.16.2=pyhd8ed1ab_0 - - python_abi=3.9=2_cp39 - - pytz=2022.5=pyhd8ed1ab_0 + - pytz=2022.6=pyhd8ed1ab_0 + - pyyaml=6.0=py39ha30fb19_5 + - pyzmq=24.0.1=py39hed8f129_1 - send2trash=1.8.0=pyhd8ed1ab_0 - - setuptools=65.5.0=pyhd8ed1ab_0 + - setuptools=65.5.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.0=pyhd8ed1ab_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 @@ -171,142 +175,140 @@ dependencies: - toml=0.10.2=pyhd8ed1ab_0 - tomli=2.0.1=pyhd8ed1ab_0 - toolz=0.12.0=pyhd8ed1ab_0 - - traitlets=5.5.0=pyhd8ed1ab_0 + - tornado=6.1=py39h63b48b0_3 + - traitlets=5.7.1=pyhd8ed1ab_0 - typing=3.10.0.0=pyhd8ed1ab_0 - typing_extensions=4.4.0=pyha770c72_0 + - unicodedata2=15.0.0=py39ha30fb19_0 - utm=0.7.0=pyhd8ed1ab_0 - webencodings=0.5.1=py_1 - - websocket-client=1.4.1=pyhd8ed1ab_0 - - wheel=0.37.1=pyhd8ed1ab_0 - - xerces-c=3.2.4=h2007e90_1 - - zipp=3.10.0=pyhd8ed1ab_0 + - websocket-client=1.4.2=pyhd8ed1ab_0 + - wheel=0.38.4=pyhd8ed1ab_0 + - wrapt=1.14.1=py39ha30fb19_1 + - zipp=3.11.0=pyhd8ed1ab_0 - ansi2html=1.8.0=py39h6e9494a_1 - anyio=3.6.2=pyhd8ed1ab_0 - - asttokens=2.1.0=pyhd8ed1ab_0 + - asttokens=2.2.1=pyhd8ed1ab_0 - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 - beautifulsoup4=4.11.1=pyha770c72_0 - - brotli-python=1.0.9=py39h7a8716b_8 + - bleach=5.0.1=pyhd8ed1ab_0 + - brunsli=0.1=h046ec9c_0 - cached-property=1.5.2=hd8ed1ab_1 + - cairo=1.16.0=h904041c_1014 - cffi=1.15.1=py39h131948b_2 + - cfitsio=4.2.0=hd56cc12_0 - click-plugins=1.1.1=py_0 - cligj=0.7.2=pyhd8ed1ab_1 + - comm=0.1.2=pyhd8ed1ab_0 - coverage=6.5.0=py39ha30fb19_1 + - curl=7.86.0=h581aaea_1 - cytoolz=0.12.0=py39ha30fb19_1 - - debugpy=1.6.3=py39h7a8716b_1 - - geotiff=1.7.1=he29fd1c_4 - - importlib-metadata=5.0.0=pyha770c72_1 - - importlib_resources=5.10.0=pyhd8ed1ab_0 - - isort=5.10.1=pyhd8ed1ab_0 - - jedi=0.18.1=pyhd8ed1ab_2 + - fonttools=4.38.0=py39ha30fb19_1 + - hdf5=1.12.2=nompi_h1f71328_100 + - importlib-metadata=5.1.0=pyha770c72_0 + - importlib_resources=5.10.1=pyhd8ed1ab_0 + - isort=5.11.1=pyhd8ed1ab_0 + - jedi=0.18.2=pyhd8ed1ab_0 + - jinja2=3.1.2=pyhd8ed1ab_1 - joblib=1.2.0=pyhd8ed1ab_0 - - jupyter_core=4.11.1=py39h6e9494a_1 - - kealib=1.4.15=h51f5cc1_1 - - kiwisolver=1.4.4=py39h92daf61_1 - - lazy-object-proxy=1.8.0=py39ha30fb19_0 - - libdap4=3.20.6=h3e144a0_2 - - libnetcdf=4.8.1=nompi_hc61b76e_106 - - libspatialite=5.0.1=h778c766_21 - - llvmlite=0.39.1=py39had167e2_1 - - markupsafe=2.1.1=py39ha30fb19_2 + - jupyter_core=5.1.0=py39h6e9494a_0 + - libcblas=3.9.0=16_osx64_mkl + - liblapack=3.9.0=16_osx64_mkl - matplotlib-inline=0.1.6=pyhd8ed1ab_0 - - msgpack-python=1.0.4=py39h92daf61_1 - munch=2.5.0=py_0 - - numpy=1.23.4=py39hdfa1d0c_1 - - packaging=21.3=pyhd8ed1ab_0 - partd=1.3.0=pyhd8ed1ab_0 - pexpect=4.8.0=pyh1a96a4e_2 - pillow=9.2.0=py39h35d4919_3 - - pip=22.3=pyhd8ed1ab_0 - - plotly=5.11.0=pyhd8ed1ab_0 - - poppler=22.10.0=hf2ff1a1_0 - - psutil=5.9.3=py39ha30fb19_1 + - pip=22.3.1=pyhd8ed1ab_0 + - plotly=5.11.0=pyhd8ed1ab_1 + - postgresql=15.1=hae21482_1 + - proj=9.1.0=hcbd9701_0 - pygments=2.13.0=pyhd8ed1ab_0 - - pyrsistent=0.18.1=py39ha30fb19_2 + - pytest=7.2.0=pyhd8ed1ab_2 - python-dateutil=2.8.2=pyhd8ed1ab_0 - - pyyaml=6.0=py39ha30fb19_5 - - pyzmq=24.0.1=py39hed8f129_1 - retrying=1.3.3=py_2 - - tiledb=2.11.3=h8b9cbf0_1 + - terminado=0.17.1=pyhd1c38e8_0 - tinycss2=1.2.1=pyhd8ed1ab_0 - tomlkit=0.11.6=pyha770c72_0 - - tornado=6.1=py39h63b48b0_3 - tqdm=4.64.1=pyhd8ed1ab_0 - typing-extensions=4.4.0=hd8ed1ab_0 - - unicodedata2=15.0.0=py39ha30fb19_0 - - wrapt=1.14.1=py39ha30fb19_1 + - werkzeug=2.2.2=pyhd8ed1ab_0 + - xerces-c=3.2.4=h2007e90_1 - zict=2.2.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py39ha30fb19_3 - - astroid=2.12.12=py39h6e9494a_1 - - bleach=5.0.1=pyhd8ed1ab_0 + - astroid=2.12.13=py39h6e9494a_0 - brotlipy=0.7.0=py39ha30fb19_1005 - - contourpy=1.0.6=py39h92daf61_0 - - cryptography=38.0.2=py39hbeae22c_2 + - cryptography=38.0.4=py39hbeae22c_0 - dask-core=2022.10.0=pyhd8ed1ab_2 - - fonttools=4.38.0=py39ha30fb19_1 - - h5py=3.7.0=nompi_py39h7d40783_102 - - imagecodecs=2022.9.26=py39h1e0cc1c_3 - - imageio=2.22.0=pyhfa7a67d_0 - - jinja2=3.1.2=pyhd8ed1ab_1 - - jsonschema=4.16.0=pyhd8ed1ab_0 + - flask=2.2.2=pyhd8ed1ab_0 + - geotiff=1.7.1=he29fd1c_4 + - jsonschema=4.17.3=pyhd8ed1ab_0 - jupyter_client=7.3.4=pyhd8ed1ab_0 - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 - - libgdal=3.5.3=h9ab8fee_0 - - numba=0.56.3=py39hf6b9d82_0 + - kealib=1.5.0=h5c1f988_0 + - libnetcdf=4.8.1=nompi_hc61b76e_106 + - libspatialite=5.0.1=hc1c2c66_22 + - numpy=1.23.5=py39hdfa1d0c_0 + - poppler=22.12.0=hf2ff1a1_0 + - pytest-cov=3.0.0=pyhd8ed1ab_0 + - stack_data=0.6.2=pyhd8ed1ab_0 + - tiledb=2.13.0=h8b9cbf0_0 + - wcwidth=0.2.5=pyh9f0ad1d_2 + - argon2-cffi=21.3.0=pyhd8ed1ab_0 + - contourpy=1.0.6=py39h92daf61_0 + - flask-compress=1.13=pyhd8ed1ab_0 + - h5py=3.7.0=nompi_py39h7d40783_102 + - imagecodecs=2022.9.26=py39h8036967_4 + - imageio=2.22.4=pyhfa7a67d_1 + - libgdal=3.6.0=h03944e0_14 + - nbformat=5.7.0=pyhd8ed1ab_0 + - numba=0.56.4=py39hf6b9d82_0 - numcodecs=0.10.2=py39hd91caee_0 - - pandas=1.5.1=py39hecff1ad_1 - - pytest=7.2.0=pyhd8ed1ab_2 + - pandas=1.5.2=py39hecff1ad_0 + - prompt-toolkit=3.0.36=pyha770c72_0 + - pylint=2.15.8=pyhd8ed1ab_0 + - pyopenssl=22.1.0=pyhd8ed1ab_0 - pywavelets=1.3.0=py39h7cc1f47_2 - - scipy=1.9.3=py39h8a15683_1 - - shapely=1.8.5=py39hf33cec1_1 - - stack_data=0.6.0=pyhd8ed1ab_0 - - terminado=0.17.0=pyhd1c38e8_0 + - scipy=1.9.3=py39h8a15683_2 + - shapely=2.0.0=py39hed42127_0 - vectormath=0.2.2=py_0 - - wcwidth=0.2.5=pyh9f0ad1d_2 - - werkzeug=2.2.2=pyhd8ed1ab_0 - - argon2-cffi=21.3.0=pyhd8ed1ab_0 + - dash=2.7.1=pyhd8ed1ab_0 - discretize=0.7.4=py39hb5e4067_0 - empymod=2.2.1=pyhd8ed1ab_0 - - flask=2.2.2=pyhd8ed1ab_0 - - gdal=3.5.3=py39h6783340_0 - - matplotlib-base=3.6.1=py39hb2f573b_1 - - nbformat=5.7.0=pyhd8ed1ab_0 - - prompt-toolkit=3.0.31=pyha770c72_0 + - gdal=3.6.0=py39h6783340_14 + - ipython=8.7.0=pyhd1c38e8_0 + - matplotlib-base=3.6.2=py39hb2f573b_0 + - nbclient=0.7.2=pyhd8ed1ab_0 - properties=0.6.1=py_0 - pydiso=0.0.3=py39h29261d1_4 - - pylint=2.15.5=pyhd8ed1ab_0 - - pyopenssl=22.1.0=pyhd8ed1ab_0 - - pytest-cov=3.0.0=pyhd8ed1ab_0 - - scikit-learn=1.1.3=py39hdbdcc14_1 + - scikit-learn=1.2.0=py39hdbdcc14_0 - tifffile=2022.10.10=pyhd8ed1ab_0 + - urllib3=1.26.13=pyhd8ed1ab_0 - zarr=2.13.3=pyhd8ed1ab_0 - - fiona=1.8.22=py39h6fa385f_1 - - flask-compress=1.13=pyhd8ed1ab_0 + - dash-daq=0.5.0=pyh9f0ad1d_1 + - distributed=2022.10.0=pyhd8ed1ab_2 + - fiona=1.8.22=py39hb507cee_3 - geoana=0.0.6=py_1 - - ipython=8.6.0=pyhd1c38e8_1 - - nbclient=0.7.0=pyhd8ed1ab_0 + - ipykernel=6.19.2=pyh736e0ef_0 + - nbconvert-core=7.2.6=pyhd8ed1ab_0 - pymatsolver=0.2.0=pyhd8ed1ab_0 - - scikit-image=0.19.3=py39hecff1ad_2 - - urllib3=1.26.11=pyhd8ed1ab_0 - - dash=2.6.2=pyhd8ed1ab_0 - - distributed=2022.10.0=pyhd8ed1ab_2 - - ipykernel=6.17.0=pyh736e0ef_0 - - nbconvert-core=7.2.3=pyhd8ed1ab_0 - requests=2.28.1=pyhd8ed1ab_1 - - dash-daq=0.5.0=pyh9f0ad1d_1 + - scikit-image=0.19.3=py39hecff1ad_2 - jupyter-dash=0.4.2=pyhd8ed1ab_1 - - jupyter_server=1.21.0=pyhd8ed1ab_0 - - nbconvert-pandoc=7.2.3=pyhd8ed1ab_0 - - nbconvert=7.2.3=pyhd8ed1ab_0 - - notebook-shim=0.2.0=pyhd8ed1ab_0 - - nbclassic=0.4.5=pyhd8ed1ab_0 - - notebook=6.5.1=pyha770c72_0 + - jupyter_server=1.23.3=pyhd8ed1ab_0 + - nbconvert-pandoc=7.2.6=pyhd8ed1ab_0 + - nbconvert=7.2.6=pyhd8ed1ab_0 + - notebook-shim=0.2.2=pyhd8ed1ab_0 + - nbclassic=0.4.8=pyhd8ed1ab_0 + - notebook=6.5.2=pyha770c72_1 - widgetsnbextension=3.6.1=pyha770c72_0 - ipywidgets=7.7.2=pyhd8ed1ab_0 - ipyfilechooser=0.6.0=pyhd8ed1ab_0 - pip: - geoh5py === 0.5.0 - simpeg-archive === 0.9.1.dev5 - - mira-simpeg === 0.15.1.dev6 + - mira-simpeg === 0.15.1.dev7 + - param-sweeps === 0.1.3 variables: KMP_WARNINGS: 0 diff --git a/environments/conda-py-3.9-osx-64.lock.yml b/environments/conda-py-3.9-osx-64.lock.yml index 6902a3fbc..57a0c2da5 100644 --- a/environments/conda-py-3.9-osx-64.lock.yml +++ b/environments/conda-py-3.9-osx-64.lock.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: osx-64 -# input_hash: 8a80e23af8fa4dbfcd3a5f529e2618075ca38860292ce44bdcc0815f3b34f846 +# input_hash: 284495ae2c649446f0d8169218135f9f4f54592b15d46f3f5f18a7af461bd262 channels: - conda-forge @@ -8,7 +8,7 @@ channels: dependencies: - bzip2=1.0.8=h0d85af4_4 - c-ares=1.18.1=h0d85af4_0 - - ca-certificates=2022.9.24=h033912b_0 + - ca-certificates=2022.12.7=h033912b_0 - dav1d=1.0.0=hac89ed1_1 - font-ttf-dejavu-sans-mono=2.37=hab24e00_0 - font-ttf-inconsolata=3.000=h77eed37_0 @@ -28,14 +28,15 @@ dependencies: - libsodium=1.0.18=hbcb3906_1 - libwebp-base=1.2.4=h775f41a_0 - libzlib=1.2.13=hfd90126_4 - - llvm-openmp=14.0.4=ha654fa7_0 + - llvm-openmp=15.0.6=h61d9ccf_0 - ncurses=6.3=h96cf925_1 - pandoc=2.19.2=h694c41f_1 - pixman=0.40.0=hbcb3906_0 - poppler-data=0.4.11=hd8ed1ab_0 - pthread-stubs=0.4=hc929b4f_1001 - - tzcode=2022e=hb7f2c08_0 - - tzdata=2022f=h191b570_0 + - python_abi=3.9=3_cp39 + - tzcode=2022g=hb7f2c08_0 + - tzdata=2022g=h191b570_0 - xorg-libxau=1.0.9=h35c211d_0 - xorg-libxdmcp=1.1.3=h35c211d_0 - xz=5.2.6=h775f41a_0 @@ -45,7 +46,7 @@ dependencies: - charls=2.3.4=he49afe7_0 - expat=2.5.0=hf0c8a7f_0 - fonts-conda-forge=1=0 - - geos=3.11.0=hb486fe8_0 + - geos=3.11.1=hf0c8a7f_0 - gettext=0.21.1=h8a4c099_0 - icu=70.1=h96cf925_0 - lerc=4.0.0=hb486fe8_0 @@ -53,106 +54,108 @@ dependencies: - libbrotlidec=1.0.9=hb7f2c08_8 - libbrotlienc=1.0.9=hb7f2c08_8 - libedit=3.1.20191231=h0678c8f_2 - - libgfortran5=11.3.0=h082f757_25 + - libgfortran5=11.3.0=h082f757_26 - libllvm11=11.1.0=h8fb7429_5 - - libpng=1.6.38=ha978bb4_0 - - libsqlite=3.39.4=ha978bb4_0 + - libpng=1.6.39=ha978bb4_0 + - libsqlite=3.40.0=ha978bb4_0 - libxcb=1.13=h0d85af4_1004 - libzopfli=1.0.3=h046ec9c_0 - lz4-c=1.9.3=he49afe7_1 - - nspr=4.32=hcd9eead_1 - - openssl=3.0.7=hfd90126_0 - - pcre=8.45=he49afe7_0 - - pcre2=10.37=h3f55489_1 + - nspr=4.35=hea0b92c_0 + - openssl=3.0.7=hfd90126_1 + - pcre2=10.40=h1c4e4bc_0 + - qhull=2020.2=h940c156_2 - readline=8.1.2=h3899abd_0 - - snappy=1.1.9=h6e38e02_1 - - tbb=2021.6.0=hb8565cd_1 + - snappy=1.1.9=h225ccf5_2 + - tbb=2021.7.0=hb8565cd_1 - tk=8.6.12=h5dbffcc_0 - zeromq=4.3.4=he49afe7_1 - zfp=1.0.0=ha894c9a_3 - zlib=1.2.13=hfd90126_4 - zstd=1.5.2=hfa58983_4 - - blosc=1.21.1=h97e831e_3 + - blosc=1.21.2=hebb52c4_0 - boost-cpp=1.78.0=h8b082ac_1 - brotli-bin=1.0.9=hb7f2c08_8 - - c-blosc2=2.4.3=had5f71b_0 + - c-blosc2=2.6.0=had5f71b_0 - fonts-conda-ecosystem=1=0 - - freetype=2.12.1=h3f81eb7_0 + - freetype=2.12.1=h3f81eb7_1 - hdf4=4.2.15=h7aa5921_5 - krb5=1.19.3=hb98e516_0 - libavif=0.11.1=he9a59b1_0 - - libgfortran=5.0.0=10_4_0_h97931a8_25 - - libglib=2.74.1=h3ba3332_0 + - libgfortran=5.0.0=9_5_0_h97931a8_26 + - libglib=2.74.1=h4c723e1_1 - libnghttp2=1.47.0=h5aae05b_1 - - librttopo=1.1.0=he07d8f5_11 + - librttopo=1.1.0=h9461dca_12 - libssh2=1.10.0=h47af595_3 - libtiff=4.4.0=hdb44e8a_4 - libxml2=2.10.3=hb9e07b5_0 - libzip=1.9.2=h6db710c_1 - - mkl=2022.1.0=h860c996_928 - - sqlite=3.39.4=h9ae0607_0 - - brotli=1.0.9=hb7f2c08_8 - - fontconfig=2.14.1=h5bb23bf_0 - - lcms2=2.14=h90f4b2a_0 - - libblas=3.9.0=16_osx64_mkl - - libcurl=7.86.0=h581aaea_0 - - libkml=1.3.0=haeb80ef_1015 - - libpq=14.5=hd79e848_1 - - nss=3.78=ha8197d3_0 - - openjpeg=2.5.0=h5d0d7b0_1 - - python=3.9.13=hf8d34f4_0_cpython + - mkl=2022.2.1=h44ed08c_16952 + - python=3.9.15=h709bd14_0_cpython + - sqlite=3.40.0=h9ae0607_0 + - _ipython_minor_entry_point=8.7.0=h8cf3c4a_0 - appnope=0.1.3=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - backcall=0.2.0=pyh9f0ad1d_0 - - backports=1.0=py_2 - - brunsli=0.1=h046ec9c_0 + - backports=1.0=pyhd8ed1ab_3 + - brotli=1.0.9=hb7f2c08_8 + - brotli-python=1.0.9=py39h7a8716b_8 - cached_property=1.5.2=pyha770c72_1 - - cairo=1.16.0=h904041c_1014 - - certifi=2022.9.24=pyhd8ed1ab_0 - - cfitsio=4.1.0=h2c97ad1_0 + - certifi=2022.12.7=pyhd8ed1ab_0 - click=8.1.3=unix_pyhd8ed1ab_2 - cloudpickle=2.2.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 - - curl=7.86.0=h581aaea_0 - cycler=0.11.0=pyhd8ed1ab_0 + - debugpy=1.6.4=py39h7a8716b_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - entrypoints=0.4=pyhd8ed1ab_0 - executing=1.2.0=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - flit-core=3.7.1=pyhd8ed1ab_0 - - fsspec=2022.10.0=pyhd8ed1ab_0 + - flit-core=3.8.0=pyhd8ed1ab_0 + - fontconfig=2.14.1=h5bb23bf_0 + - fsspec=2022.11.0=pyhd8ed1ab_0 - future=0.18.2=pyhd8ed1ab_6 - - hdf5=1.12.2=nompi_h1f71328_100 - heapdict=1.0.1=py_0 - idna=3.4=pyhd8ed1ab_0 - ipython_genutils=0.2.0=py_1 - itsdangerous=2.1.2=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.1=pyhd8ed1ab_0 - - libcblas=3.9.0=16_osx64_mkl - - liblapack=3.9.0=16_osx64_mkl + - kiwisolver=1.4.4=py39h92daf61_1 + - lcms2=2.14=h90f4b2a_0 + - libblas=3.9.0=16_osx64_mkl + - libcurl=7.86.0=h581aaea_1 + - libkml=1.3.0=haeb80ef_1015 + - libpq=15.1=hb1ae2b1_1 + - llvmlite=0.39.1=py39had167e2_1 - locket=1.0.0=pyhd8ed1ab_0 + - markupsafe=2.1.1=py39ha30fb19_2 - mistune=2.0.4=pyhd8ed1ab_0 + - msgpack-python=1.0.4=py39h92daf61_1 - munkres=1.1.4=pyh9f0ad1d_0 - nest-asyncio=1.5.6=pyhd8ed1ab_0 - - networkx=2.8.7=pyhd8ed1ab_0 + - networkx=2.8.8=pyhd8ed1ab_0 + - nss=3.78=ha8197d3_0 + - openjpeg=2.5.0=h5d0d7b0_1 + - packaging=22.0=pyhd8ed1ab_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.3=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0 - - postgresql=14.5=hae21482_1 - - proj=9.1.0=hcbd9701_0 - prometheus_client=0.15.0=pyhd8ed1ab_0 + - psutil=5.9.4=py39ha30fb19_0 - ptyprocess=0.7.0=pyhd3deb0d_0 - pure_eval=0.2.2=pyhd8ed1ab_0 - pycparser=2.21=pyhd8ed1ab_0 - pyparsing=3.0.9=pyhd8ed1ab_0 + - pyrsistent=0.19.2=py39ha30fb19_0 - pysocks=1.7.1=pyha2e5f31_6 - python-fastjsonschema=2.16.2=pyhd8ed1ab_0 - - python_abi=3.9=2_cp39 - - pytz=2022.5=pyhd8ed1ab_0 + - pytz=2022.6=pyhd8ed1ab_0 + - pyyaml=6.0=py39ha30fb19_5 + - pyzmq=24.0.1=py39hed8f129_1 - send2trash=1.8.0=pyhd8ed1ab_0 - - setuptools=65.5.0=pyhd8ed1ab_0 + - setuptools=65.5.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.0=pyhd8ed1ab_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 @@ -161,131 +164,130 @@ dependencies: - tenacity=8.1.0=pyhd8ed1ab_0 - threadpoolctl=3.1.0=pyh8a188c0_0 - toolz=0.12.0=pyhd8ed1ab_0 - - traitlets=5.5.0=pyhd8ed1ab_0 + - tornado=6.1=py39h63b48b0_3 + - traitlets=5.7.1=pyhd8ed1ab_0 - typing_extensions=4.4.0=pyha770c72_0 + - unicodedata2=15.0.0=py39ha30fb19_0 - utm=0.7.0=pyhd8ed1ab_0 - webencodings=0.5.1=py_1 - - websocket-client=1.4.1=pyhd8ed1ab_0 - - wheel=0.37.1=pyhd8ed1ab_0 - - xerces-c=3.2.4=h2007e90_1 - - zipp=3.10.0=pyhd8ed1ab_0 + - websocket-client=1.4.2=pyhd8ed1ab_0 + - wheel=0.38.4=pyhd8ed1ab_0 + - zipp=3.11.0=pyhd8ed1ab_0 - ansi2html=1.8.0=py39h6e9494a_1 - anyio=3.6.2=pyhd8ed1ab_0 - - asttokens=2.1.0=pyhd8ed1ab_0 + - asttokens=2.2.1=pyhd8ed1ab_0 - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 - beautifulsoup4=4.11.1=pyha770c72_0 - - brotli-python=1.0.9=py39h7a8716b_8 + - bleach=5.0.1=pyhd8ed1ab_0 + - brunsli=0.1=h046ec9c_0 - cached-property=1.5.2=hd8ed1ab_1 + - cairo=1.16.0=h904041c_1014 - cffi=1.15.1=py39h131948b_2 + - cfitsio=4.2.0=hd56cc12_0 - click-plugins=1.1.1=py_0 - cligj=0.7.2=pyhd8ed1ab_1 + - comm=0.1.2=pyhd8ed1ab_0 + - curl=7.86.0=h581aaea_1 - cytoolz=0.12.0=py39ha30fb19_1 - - debugpy=1.6.3=py39h7a8716b_1 - - geotiff=1.7.1=he29fd1c_4 - - importlib-metadata=5.0.0=pyha770c72_1 - - importlib_resources=5.10.0=pyhd8ed1ab_0 - - jedi=0.18.1=pyhd8ed1ab_2 + - fonttools=4.38.0=py39ha30fb19_1 + - hdf5=1.12.2=nompi_h1f71328_100 + - importlib-metadata=5.1.0=pyha770c72_0 + - importlib_resources=5.10.1=pyhd8ed1ab_0 + - jedi=0.18.2=pyhd8ed1ab_0 + - jinja2=3.1.2=pyhd8ed1ab_1 - joblib=1.2.0=pyhd8ed1ab_0 - - jupyter_core=4.11.1=py39h6e9494a_1 - - kealib=1.4.15=h51f5cc1_1 - - kiwisolver=1.4.4=py39h92daf61_1 - - libdap4=3.20.6=h3e144a0_2 - - libnetcdf=4.8.1=nompi_hc61b76e_106 - - libspatialite=5.0.1=h778c766_21 - - llvmlite=0.39.1=py39had167e2_1 - - markupsafe=2.1.1=py39ha30fb19_2 + - jupyter_core=5.1.0=py39h6e9494a_0 + - libcblas=3.9.0=16_osx64_mkl + - liblapack=3.9.0=16_osx64_mkl - matplotlib-inline=0.1.6=pyhd8ed1ab_0 - - msgpack-python=1.0.4=py39h92daf61_1 - munch=2.5.0=py_0 - - numpy=1.23.4=py39hdfa1d0c_1 - - packaging=21.3=pyhd8ed1ab_0 - partd=1.3.0=pyhd8ed1ab_0 - pexpect=4.8.0=pyh1a96a4e_2 - pillow=9.2.0=py39h35d4919_3 - - pip=22.3=pyhd8ed1ab_0 - - plotly=5.11.0=pyhd8ed1ab_0 - - poppler=22.10.0=hf2ff1a1_0 - - psutil=5.9.3=py39ha30fb19_1 + - pip=22.3.1=pyhd8ed1ab_0 + - plotly=5.11.0=pyhd8ed1ab_1 + - postgresql=15.1=hae21482_1 + - proj=9.1.0=hcbd9701_0 - pygments=2.13.0=pyhd8ed1ab_0 - - pyrsistent=0.18.1=py39ha30fb19_2 - python-dateutil=2.8.2=pyhd8ed1ab_0 - - pyyaml=6.0=py39ha30fb19_5 - - pyzmq=24.0.1=py39hed8f129_1 - retrying=1.3.3=py_2 - - tiledb=2.11.3=h8b9cbf0_1 + - terminado=0.17.1=pyhd1c38e8_0 - tinycss2=1.2.1=pyhd8ed1ab_0 - - tornado=6.1=py39h63b48b0_3 - tqdm=4.64.1=pyhd8ed1ab_0 - typing-extensions=4.4.0=hd8ed1ab_0 - - unicodedata2=15.0.0=py39ha30fb19_0 + - werkzeug=2.2.2=pyhd8ed1ab_0 + - xerces-c=3.2.4=h2007e90_1 - zict=2.2.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py39ha30fb19_3 - - bleach=5.0.1=pyhd8ed1ab_0 - brotlipy=0.7.0=py39ha30fb19_1005 - - contourpy=1.0.6=py39h92daf61_0 - - cryptography=38.0.2=py39hbeae22c_2 + - cryptography=38.0.4=py39hbeae22c_0 - dask-core=2022.10.0=pyhd8ed1ab_2 - - fonttools=4.38.0=py39ha30fb19_1 - - h5py=3.7.0=nompi_py39h7d40783_102 - - imagecodecs=2022.9.26=py39h1e0cc1c_3 - - imageio=2.22.0=pyhfa7a67d_0 - - jinja2=3.1.2=pyhd8ed1ab_1 - - jsonschema=4.16.0=pyhd8ed1ab_0 + - flask=2.2.2=pyhd8ed1ab_0 + - geotiff=1.7.1=he29fd1c_4 + - jsonschema=4.17.3=pyhd8ed1ab_0 - jupyter_client=7.3.4=pyhd8ed1ab_0 - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 - - libgdal=3.5.3=h9ab8fee_0 - - numba=0.56.3=py39hf6b9d82_0 + - kealib=1.5.0=h5c1f988_0 + - libnetcdf=4.8.1=nompi_hc61b76e_106 + - libspatialite=5.0.1=hc1c2c66_22 + - numpy=1.23.5=py39hdfa1d0c_0 + - poppler=22.12.0=hf2ff1a1_0 + - stack_data=0.6.2=pyhd8ed1ab_0 + - tiledb=2.13.0=h8b9cbf0_0 + - wcwidth=0.2.5=pyh9f0ad1d_2 + - argon2-cffi=21.3.0=pyhd8ed1ab_0 + - contourpy=1.0.6=py39h92daf61_0 + - flask-compress=1.13=pyhd8ed1ab_0 + - h5py=3.7.0=nompi_py39h7d40783_102 + - imagecodecs=2022.9.26=py39h8036967_4 + - imageio=2.22.4=pyhfa7a67d_1 + - libgdal=3.6.0=h03944e0_14 + - nbformat=5.7.0=pyhd8ed1ab_0 + - numba=0.56.4=py39hf6b9d82_0 - numcodecs=0.10.2=py39hd91caee_0 - - pandas=1.5.1=py39hecff1ad_1 + - pandas=1.5.2=py39hecff1ad_0 + - prompt-toolkit=3.0.36=pyha770c72_0 + - pyopenssl=22.1.0=pyhd8ed1ab_0 - pywavelets=1.3.0=py39h7cc1f47_2 - - scipy=1.9.3=py39h8a15683_1 - - shapely=1.8.5=py39hf33cec1_1 - - stack_data=0.6.0=pyhd8ed1ab_0 - - terminado=0.17.0=pyhd1c38e8_0 + - scipy=1.9.3=py39h8a15683_2 + - shapely=2.0.0=py39hed42127_0 - vectormath=0.2.2=py_0 - - wcwidth=0.2.5=pyh9f0ad1d_2 - - werkzeug=2.2.2=pyhd8ed1ab_0 - - argon2-cffi=21.3.0=pyhd8ed1ab_0 + - dash=2.7.1=pyhd8ed1ab_0 - discretize=0.7.4=py39hb5e4067_0 - empymod=2.2.1=pyhd8ed1ab_0 - - flask=2.2.2=pyhd8ed1ab_0 - - gdal=3.5.3=py39h6783340_0 - - matplotlib-base=3.6.1=py39hb2f573b_1 - - nbformat=5.7.0=pyhd8ed1ab_0 - - prompt-toolkit=3.0.31=pyha770c72_0 + - gdal=3.6.0=py39h6783340_14 + - ipython=8.7.0=pyhd1c38e8_0 + - matplotlib-base=3.6.2=py39hb2f573b_0 + - nbclient=0.7.2=pyhd8ed1ab_0 - properties=0.6.1=py_0 - pydiso=0.0.3=py39h29261d1_4 - - pyopenssl=22.1.0=pyhd8ed1ab_0 - - scikit-learn=1.1.3=py39hdbdcc14_1 + - scikit-learn=1.2.0=py39hdbdcc14_0 - tifffile=2022.10.10=pyhd8ed1ab_0 + - urllib3=1.26.13=pyhd8ed1ab_0 - zarr=2.13.3=pyhd8ed1ab_0 - - fiona=1.8.22=py39h6fa385f_1 - - flask-compress=1.13=pyhd8ed1ab_0 + - dash-daq=0.5.0=pyh9f0ad1d_1 + - distributed=2022.10.0=pyhd8ed1ab_2 + - fiona=1.8.22=py39hb507cee_3 - geoana=0.0.6=py_1 - - ipython=8.6.0=pyhd1c38e8_1 - - nbclient=0.7.0=pyhd8ed1ab_0 + - ipykernel=6.19.2=pyh736e0ef_0 + - nbconvert-core=7.2.6=pyhd8ed1ab_0 - pymatsolver=0.2.0=pyhd8ed1ab_0 - scikit-image=0.19.3=py39hecff1ad_2 - - urllib3=1.26.11=pyhd8ed1ab_0 - - dash=2.6.2=pyhd8ed1ab_0 - - distributed=2022.10.0=pyhd8ed1ab_2 - - ipykernel=6.17.0=pyh736e0ef_0 - - nbconvert-core=7.2.3=pyhd8ed1ab_0 - - dash-daq=0.5.0=pyh9f0ad1d_1 - jupyter-dash=0.4.2=pyhd8ed1ab_1 - - jupyter_server=1.21.0=pyhd8ed1ab_0 - - nbconvert-pandoc=7.2.3=pyhd8ed1ab_0 - - nbconvert=7.2.3=pyhd8ed1ab_0 - - notebook-shim=0.2.0=pyhd8ed1ab_0 - - nbclassic=0.4.5=pyhd8ed1ab_0 - - notebook=6.5.1=pyha770c72_0 + - jupyter_server=1.23.3=pyhd8ed1ab_0 + - nbconvert-pandoc=7.2.6=pyhd8ed1ab_0 + - nbconvert=7.2.6=pyhd8ed1ab_0 + - notebook-shim=0.2.2=pyhd8ed1ab_0 + - nbclassic=0.4.8=pyhd8ed1ab_0 + - notebook=6.5.2=pyha770c72_1 - widgetsnbextension=3.6.1=pyha770c72_0 - ipywidgets=7.7.2=pyhd8ed1ab_0 - ipyfilechooser=0.6.0=pyhd8ed1ab_0 - pip: - geoh5py === 0.5.0 - simpeg-archive === 0.9.1.dev5 - - mira-simpeg === 0.15.1.dev6 + - mira-simpeg === 0.15.1.dev7 + - param-sweeps === 0.1.3 variables: KMP_WARNINGS: 0 diff --git a/environments/conda-py-3.9-win-64-dev.lock.yml b/environments/conda-py-3.9-win-64-dev.lock.yml index b966c27d5..84e713cce 100644 --- a/environments/conda-py-3.9-win-64-dev.lock.yml +++ b/environments/conda-py-3.9-win-64-dev.lock.yml @@ -1,21 +1,22 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 5ea9d9c263b785a8e81c144a01e560eb53aaf945ca8817591f16f443fe302144 +# input_hash: 7df0bb660333db67935439fc7324739253b154a7c620f848fbe0f3361ba130ff channels: - conda-forge - defaults dependencies: - - ca-certificates=2022.9.24=h5b45459_0 + - ca-certificates=2022.12.7=h5b45459_0 - font-ttf-dejavu-sans-mono=2.37=hab24e00_0 - font-ttf-inconsolata=3.000=h77eed37_0 - font-ttf-source-code-pro=2.038=h77eed37_0 - font-ttf-ubuntu=0.83=hab24e00_0 - - intel-openmp=2022.1.0=h57928b3_3787 + - intel-openmp=2022.2.1=h57928b3_19741 - msys2-conda-epoch=20160418=1 - pandoc=2.19.2=h57928b3_1 - poppler-data=0.4.11=hd8ed1ab_0 - - tzdata=2022f=h191b570_0 + - python_abi=3.9=3_cp39 + - tzdata=2022g=h191b570_0 - ucrt=10.0.22621.0=h57928b3_0 - winpty=0.4.3=4 - fonts-conda-forge=1=0 @@ -30,7 +31,7 @@ dependencies: - charls=2.3.4=h39d44d4_0 - dav1d=1.0.0=h8ffe710_1 - expat=2.5.0=h1537add_0 - - geos=3.11.0=h39d44d4_0 + - geos=3.11.1=h1537add_0 - giflib=5.2.1=h8d14728_2 - icu=70.1=h0e60522_0 - jpeg=9e=h8ffe710_2 @@ -42,17 +43,17 @@ dependencies: - libffi=3.4.2=h8ffe710_5 - libiconv=1.17=h8ffe710_0 - libsodium=1.0.18=h8d14728_1 - - libsqlite=3.39.4=hcfcfb64_0 + - libsqlite=3.40.0=hcfcfb64_0 - libwebp-base=1.2.4=h8ffe710_0 - libzlib=1.2.13=hcfcfb64_4 - libzopfli=1.0.3=h0e60522_0 - lz4-c=1.9.3=h8ffe710_1 - m2w64-gcc-libgfortran=5.3.0=6 - - openssl=3.0.7=hcfcfb64_0 - - pcre=8.45=h0e60522_0 + - openssl=3.0.7=hcfcfb64_1 - pixman=0.40.0=h8ffe710_0 - - snappy=1.1.9=h82413e6_1 - - tbb=2021.6.0=h91493d7_1 + - pthreads-win32=2.9.1=hfa6e2cd_3 + - qhull=2020.2=h70d2c02_2 + - snappy=1.1.9=hfb803bf_2 - tk=8.6.12=h8ffe710_0 - xerces-c=3.2.4=h63175ca_1 - xz=5.2.6=h8d14728_0 @@ -65,93 +66,91 @@ dependencies: - libavif=0.11.1=h8f5c5bc_0 - libbrotlidec=1.0.9=hcfcfb64_8 - libbrotlienc=1.0.9=hcfcfb64_8 - - libpng=1.6.38=h19919ed_0 - - librttopo=1.1.0=h2842628_11 + - libpng=1.6.39=h19919ed_0 + - librttopo=1.1.0=he22b5cd_12 - libssh2=1.10.0=h9a1e1f7_3 - libxml2=2.10.3=hc3477c8_0 - libzip=1.9.2=h519de47_1 - m2w64-gcc-libs=5.3.0=7 - - mkl=2022.1.0=h6a75c08_874 - - pcre2=10.37=hdfff0fc_1 - - sqlite=3.39.4=hcfcfb64_0 + - pcre2=10.40=h17e33f8_0 + - python=3.9.15=h4de0772_0_cpython + - sqlite=3.40.0=hcfcfb64_0 - zeromq=4.3.4=h0e60522_1 - zlib=1.2.13=hcfcfb64_4 - zstd=1.5.2=h7755175_4 - - blosc=1.21.1=h74325e0_3 - - boost-cpp=1.78.0=h9f4b32c_1 - - brotli-bin=1.0.9=hcfcfb64_8 - - c-blosc2=2.4.3=h183a6f4_0 - - freetype=2.12.1=h546665d_0 - - hdf4=4.2.15=h1b1b6ef_5 - - libblas=3.9.0=16_win64_mkl - - libcurl=7.86.0=heaf79c2_0 - - libglib=2.74.1=h79619a9_0 - - libpq=14.5=hf15792c_1 - - libtiff=4.4.0=h8e97e67_4 - - pthread-stubs=0.4=hcd874cb_1001 - - python=3.9.13=hcf16a7b_0_cpython - - xorg-libxau=1.0.9=hcd874cb_0 - - xorg-libxdmcp=1.1.3=hcd874cb_0 + - _ipython_minor_entry_point=8.7.0=h8cf3c4a_0 - asciitree=0.3.3=py_2 - attrs=22.1.0=pyh71513ae_1 - backcall=0.2.0=pyh9f0ad1d_0 - - backports=1.0=py_2 - - brotli=1.0.9=hcfcfb64_8 + - backports=1.0=pyhd8ed1ab_3 + - blosc=1.21.2=hdccc3a2_0 + - boost-cpp=1.78.0=h9f4b32c_1 + - brotli-bin=1.0.9=hcfcfb64_8 + - brotli-python=1.0.9=py39h99910a6_8 + - c-blosc2=2.6.0=h183a6f4_0 - cached_property=1.5.2=pyha770c72_1 - - certifi=2022.9.24=pyhd8ed1ab_0 - - cfitsio=4.1.0=h5a969a9_0 + - certifi=2022.12.7=pyhd8ed1ab_0 - charset-normalizer=2.1.1=pyhd8ed1ab_0 - cloudpickle=2.2.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 - - curl=7.86.0=heaf79c2_0 - cycler=0.11.0=pyhd8ed1ab_0 + - debugpy=1.6.4=py39h99910a6_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - dill=0.3.6=pyhd8ed1ab_1 - entrypoints=0.4=pyhd8ed1ab_0 - - exceptiongroup=1.0.0=pyhd8ed1ab_0 + - exceptiongroup=1.0.4=pyhd8ed1ab_0 - executing=1.2.0=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - flit-core=3.7.1=pyhd8ed1ab_0 - - fontconfig=2.14.1=hbde0cde_0 - - fsspec=2022.10.0=pyhd8ed1ab_0 + - flit-core=3.8.0=pyhd8ed1ab_0 + - freetype=2.12.1=h546665d_1 + - fsspec=2022.11.0=pyhd8ed1ab_0 - future=0.18.2=pyhd8ed1ab_6 - - hdf5=1.12.2=nompi_h57737ce_100 + - hdf4=4.2.15=h1b1b6ef_5 - heapdict=1.0.1=py_0 - idna=3.4=pyhd8ed1ab_0 - iniconfig=1.1.1=pyh9f0ad1d_0 - ipython_genutils=0.2.0=py_1 - itsdangerous=2.1.2=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.1=pyhd8ed1ab_0 - - lcms2=2.14=h90d422f_0 - - libcblas=3.9.0=16_win64_mkl - - libkml=1.3.0=hf2ab4e4_1015 - - liblapack=3.9.0=16_win64_mkl - - libxcb=1.13=hcd874cb_1004 + - kiwisolver=1.4.4=py39h1f6ef14_1 + - lazy-object-proxy=1.8.0=py39ha55989b_0 + - libcurl=7.86.0=heaf79c2_1 + - libglib=2.74.1=he8f3873_1 + - libhwloc=2.8.0=h039e092_1 + - libpq=15.1=hf15792c_1 + - libtiff=4.4.0=h8e97e67_4 + - llvmlite=0.39.1=py39hd28a505_1 - locket=1.0.0=pyhd8ed1ab_0 + - markupsafe=2.1.1=py39ha55989b_2 - mccabe=0.7.0=pyhd8ed1ab_0 - mistune=2.0.4=pyhd8ed1ab_0 + - msgpack-python=1.0.4=py39h1f6ef14_1 - munkres=1.1.4=pyh9f0ad1d_0 - nest-asyncio=1.5.6=pyhd8ed1ab_0 - - networkx=2.8.7=pyhd8ed1ab_0 - - openjpeg=2.5.0=hc9384bd_1 + - networkx=2.8.8=pyhd8ed1ab_0 + - packaging=22.0=pyhd8ed1ab_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.3=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0 - - platformdirs=2.5.2=pyhd8ed1ab_1 + - platformdirs=2.6.0=pyhd8ed1ab_0 - pluggy=1.0.0=pyhd8ed1ab_5 - - postgresql=14.5=h58a5ca5_1 - - proj=9.1.0=h3863b3b_0 - prometheus_client=0.15.0=pyhd8ed1ab_0 + - psutil=5.9.4=py39ha55989b_0 + - pthread-stubs=0.4=hcd874cb_1001 - pure_eval=0.2.2=pyhd8ed1ab_0 - pycparser=2.21=pyhd8ed1ab_0 - pyparsing=3.0.9=pyhd8ed1ab_0 + - pyrsistent=0.19.2=py39ha55989b_0 - python-fastjsonschema=2.16.2=pyhd8ed1ab_0 - - python_abi=3.9=2_cp39 - - pytz=2022.5=pyhd8ed1ab_0 + - pytz=2022.6=pyhd8ed1ab_0 + - pywin32=304=py39h99910a6_2 + - pywinpty=2.0.9=py39h99910a6_0 + - pyyaml=6.0=py39ha55989b_5 + - pyzmq=24.0.1=py39hea35a22_1 - send2trash=1.8.0=pyhd8ed1ab_0 - - setuptools=65.5.0=pyhd8ed1ab_0 + - setuptools=65.5.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.0=pyhd8ed1ab_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 @@ -162,145 +161,151 @@ dependencies: - toml=0.10.2=pyhd8ed1ab_0 - tomli=2.0.1=pyhd8ed1ab_0 - toolz=0.12.0=pyhd8ed1ab_0 - - traitlets=5.5.0=pyhd8ed1ab_0 + - tornado=6.1=py39hb82d6ee_3 + - traitlets=5.7.1=pyhd8ed1ab_0 - typing=3.10.0.0=pyhd8ed1ab_0 - typing_extensions=4.4.0=pyha770c72_0 + - unicodedata2=15.0.0=py39ha55989b_0 - utm=0.7.0=pyhd8ed1ab_0 - webencodings=0.5.1=py_1 - - websocket-client=1.4.1=pyhd8ed1ab_0 - - wheel=0.37.1=pyhd8ed1ab_0 + - websocket-client=1.4.2=pyhd8ed1ab_0 + - wheel=0.38.4=pyhd8ed1ab_0 - win_inet_pton=1.1.0=pyhd8ed1ab_6 - - zipp=3.10.0=pyhd8ed1ab_0 + - wrapt=1.14.1=py39ha55989b_1 + - xorg-libxau=1.0.9=hcd874cb_0 + - xorg-libxdmcp=1.1.3=hcd874cb_0 + - zipp=3.11.0=pyhd8ed1ab_0 - ansi2html=1.8.0=py39hcbf5309_1 - anyio=3.6.2=pyhd8ed1ab_0 - - asttokens=2.1.0=pyhd8ed1ab_0 + - asttokens=2.2.1=pyhd8ed1ab_0 - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 - beautifulsoup4=4.11.1=pyha770c72_0 - - brotli-python=1.0.9=py39h99910a6_8 + - bleach=5.0.1=pyhd8ed1ab_0 + - brotli=1.0.9=hcfcfb64_8 - cached-property=1.5.2=hd8ed1ab_1 - - cairo=1.16.0=hd694305_1014 - cffi=1.15.1=py39h68f70e3_2 + - cfitsio=4.2.0=h9ebe7e4_0 - click=8.1.3=win_pyhd8ed1ab_2 + - comm=0.1.2=pyhd8ed1ab_0 - coverage=6.5.0=py39ha55989b_1 + - curl=7.86.0=heaf79c2_1 - cytoolz=0.12.0=py39ha55989b_1 - - debugpy=1.6.3=py39h99910a6_1 - - geotiff=1.7.1=h4ffd875_4 - - importlib-metadata=5.0.0=pyha770c72_1 - - importlib_resources=5.10.0=pyhd8ed1ab_0 - - isort=5.10.1=pyhd8ed1ab_0 - - jedi=0.18.1=pyhd8ed1ab_2 + - fontconfig=2.14.1=hbde0cde_0 + - hdf5=1.12.2=nompi_h57737ce_100 + - importlib-metadata=5.1.0=pyha770c72_0 + - importlib_resources=5.10.1=pyhd8ed1ab_0 + - isort=5.11.1=pyhd8ed1ab_0 + - jedi=0.18.2=pyhd8ed1ab_0 + - jinja2=3.1.2=pyhd8ed1ab_1 - joblib=1.2.0=pyhd8ed1ab_0 - - kealib=1.4.15=hdf81f3a_1 - - kiwisolver=1.4.4=py39h1f6ef14_1 - - lazy-object-proxy=1.8.0=py39ha55989b_0 - - libnetcdf=4.8.1=nompi_h8c042bf_106 - - libspatialite=5.0.1=hd560d62_21 - - llvmlite=0.39.1=py39hd28a505_1 - - markupsafe=2.1.1=py39ha55989b_2 + - jupyter_core=5.1.0=py39hcbf5309_0 + - lcms2=2.14=h90d422f_0 + - libkml=1.3.0=hf2ab4e4_1015 + - libxcb=1.13=hcd874cb_1004 - matplotlib-inline=0.1.6=pyhd8ed1ab_0 - - msgpack-python=1.0.4=py39h1f6ef14_1 - munch=2.5.0=py_0 - - numpy=1.23.4=py39hbccbffa_1 - - packaging=21.3=pyhd8ed1ab_0 + - openjpeg=2.5.0=hc9384bd_1 - partd=1.3.0=pyhd8ed1ab_0 - - pillow=9.2.0=py39h595c93f_3 - - pip=22.3=pyhd8ed1ab_0 - - plotly=5.11.0=pyhd8ed1ab_0 - - psutil=5.9.3=py39ha55989b_1 + - pip=22.3.1=pyhd8ed1ab_0 + - plotly=5.11.0=pyhd8ed1ab_1 + - postgresql=15.1=h58a5ca5_1 + - proj=9.1.0=h3863b3b_0 - pygments=2.13.0=pyhd8ed1ab_0 - - pyrsistent=0.18.1=py39ha55989b_2 - pysocks=1.7.1=pyh0701188_6 + - pytest=7.2.0=pyhd8ed1ab_2 - python-dateutil=2.8.2=pyhd8ed1ab_0 - - pywin32=304=py39h99910a6_2 - - pywinpty=2.0.9=py39h99910a6_0 - - pyyaml=6.0=py39ha55989b_5 - - pyzmq=24.0.1=py39hea35a22_1 - retrying=1.3.3=py_2 - - tiledb=2.11.3=h3132609_1 + - tbb=2021.7.0=h91493d7_1 + - terminado=0.17.0=pyh08f2357_0 - tinycss2=1.2.1=pyhd8ed1ab_0 - tomlkit=0.11.6=pyha770c72_0 - - tornado=6.1=py39hb82d6ee_3 - tqdm=4.64.1=pyhd8ed1ab_0 - typing-extensions=4.4.0=hd8ed1ab_0 - - unicodedata2=15.0.0=py39ha55989b_0 - - wrapt=1.14.1=py39ha55989b_1 + - werkzeug=2.2.2=pyhd8ed1ab_0 - zict=2.2.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py39ha55989b_3 - - astroid=2.12.12=py39hcbf5309_1 - - bleach=5.0.1=pyhd8ed1ab_0 + - astroid=2.12.13=py39hcbf5309_0 - brotlipy=0.7.0=py39ha55989b_1005 + - cairo=1.16.0=hd694305_1014 - click-plugins=1.1.1=py_0 - cligj=0.7.2=pyhd8ed1ab_1 - - contourpy=1.0.6=py39h1f6ef14_0 - - cryptography=38.0.2=py39hb6bd5e6_2 + - cryptography=38.0.4=py39hb6bd5e6_0 - dask-core=2022.10.0=pyhd8ed1ab_2 + - flask=2.2.2=pyhd8ed1ab_0 - fonttools=4.38.0=py39ha55989b_1 - - h5py=3.7.0=nompi_py39hbc6f334_102 - - imagecodecs=2022.9.26=py39h414dd1e_3 - - imageio=2.22.0=pyhfa7a67d_0 - - jinja2=3.1.2=pyhd8ed1ab_1 - - jsonschema=4.16.0=pyhd8ed1ab_0 - - jupyter_core=4.11.1=py39hcbf5309_1 + - geotiff=1.7.1=h4ffd875_4 + - jsonschema=4.17.3=pyhd8ed1ab_0 + - jupyter_client=7.3.4=pyhd8ed1ab_0 - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 - - numba=0.56.3=py39h99ae161_0 + - kealib=1.5.0=h61be68b_0 + - libnetcdf=4.8.1=nompi_h8c042bf_106 + - libspatialite=5.0.1=h07bf483_22 + - mkl=2022.1.0=h6a75c08_874 + - pillow=9.2.0=py39h595c93f_3 + - pytest-cov=3.0.0=pyhd8ed1ab_0 + - stack_data=0.6.2=pyhd8ed1ab_0 + - tiledb=2.13.0=h3132609_0 + - wcwidth=0.2.5=pyh9f0ad1d_2 + - argon2-cffi=21.3.0=pyhd8ed1ab_0 + - flask-compress=1.13=pyhd8ed1ab_0 + - libblas=3.9.0=16_win64_mkl + - nbformat=5.7.0=pyhd8ed1ab_0 + - poppler=22.12.0=ha6c1112_0 + - prompt-toolkit=3.0.36=pyha770c72_0 + - pylint=2.15.8=pyhd8ed1ab_0 + - pyopenssl=22.1.0=pyhd8ed1ab_0 + - dash=2.7.1=pyhd8ed1ab_0 + - ipython=8.7.0=pyh08f2357_0 + - libcblas=3.9.0=16_win64_mkl + - libgdal=3.6.0=hefe12b1_14 + - liblapack=3.9.0=16_win64_mkl + - nbclient=0.7.2=pyhd8ed1ab_0 + - urllib3=1.26.13=pyhd8ed1ab_0 + - dash-daq=0.5.0=pyh9f0ad1d_1 + - distributed=2022.10.0=pyhd8ed1ab_2 + - ipykernel=6.19.2=pyh025b116_0 + - nbconvert-core=7.2.6=pyhd8ed1ab_0 + - numpy=1.23.5=py39hbccbffa_0 + - requests=2.28.1=pyhd8ed1ab_1 + - contourpy=1.0.6=py39h1f6ef14_0 + - gdal=3.6.0=py39h3be0312_14 + - h5py=3.7.0=nompi_py39hbc6f334_102 + - imagecodecs=2022.9.26=py39haf5b5c4_4 + - imageio=2.22.4=pyhfa7a67d_1 + - jupyter-dash=0.4.2=pyhd8ed1ab_1 + - jupyter_server=1.23.3=pyhd8ed1ab_0 + - nbconvert-pandoc=7.2.6=pyhd8ed1ab_0 + - numba=0.56.4=py39h99ae161_0 - numcodecs=0.10.2=py39h415ef7b_0 - - pandas=1.5.1=py39h2ba5b7c_1 - - poppler=22.10.0=ha6c1112_0 - - pytest=7.2.0=pyhd8ed1ab_2 + - pandas=1.5.2=py39h2ba5b7c_0 - pywavelets=1.3.0=py39hc266a54_2 - - scipy=1.9.3=py39hfbf2dce_1 - - shapely=1.8.5=py39h6f18ba6_1 - - stack_data=0.6.0=pyhd8ed1ab_0 - - terminado=0.17.0=pyh08f2357_0 + - scipy=1.9.3=py39hfbf2dce_2 + - shapely=2.0.0=py39h7c5f289_0 - vectormath=0.2.2=py_0 - - wcwidth=0.2.5=pyh9f0ad1d_2 - - werkzeug=2.2.2=pyhd8ed1ab_0 - - argon2-cffi=21.3.0=pyhd8ed1ab_0 - discretize=0.7.4=py39hefe7e4c_0 - empymod=2.2.1=pyhd8ed1ab_0 - - flask=2.2.2=pyhd8ed1ab_0 - - jupyter_client=7.3.4=pyhd8ed1ab_0 - - libgdal=3.5.3=h283e77c_0 - - matplotlib-base=3.6.1=py39haf65ace_1 - - nbformat=5.7.0=pyhd8ed1ab_0 - - prompt-toolkit=3.0.31=pyha770c72_0 + - fiona=1.8.22=py39hb5a1417_3 + - matplotlib-base=3.6.2=py39haf65ace_0 + - nbconvert=7.2.6=pyhd8ed1ab_0 + - notebook-shim=0.2.2=pyhd8ed1ab_0 - properties=0.6.1=py_0 - pydiso=0.0.3=py39h9be9993_4 - - pylint=2.15.5=pyhd8ed1ab_0 - - pyopenssl=22.1.0=pyhd8ed1ab_0 - - pytest-cov=3.0.0=pyhd8ed1ab_0 - - scikit-learn=1.1.3=py39h6fe01c0_1 + - scikit-learn=1.2.0=py39h6fe01c0_0 - tifffile=2022.10.10=pyhd8ed1ab_0 - zarr=2.13.3=pyhd8ed1ab_0 - - flask-compress=1.13=pyhd8ed1ab_0 - - gdal=3.5.3=py39h3be0312_0 - geoana=0.0.6=py_1 - - ipython=8.6.0=pyh08f2357_1 - - nbclient=0.7.0=pyhd8ed1ab_0 + - nbclassic=0.4.8=pyhd8ed1ab_0 - pymatsolver=0.2.0=pyhd8ed1ab_0 - scikit-image=0.19.3=py39h2ba5b7c_2 - - urllib3=1.26.11=pyhd8ed1ab_0 - - dash=2.6.2=pyhd8ed1ab_0 - - distributed=2022.10.0=pyhd8ed1ab_2 - - fiona=1.8.22=py39h9e0966e_1 - - ipykernel=6.17.0=pyh025b116_0 - - nbconvert-core=7.2.3=pyhd8ed1ab_0 - - requests=2.28.1=pyhd8ed1ab_1 - - dash-daq=0.5.0=pyh9f0ad1d_1 - - jupyter-dash=0.4.2=pyhd8ed1ab_1 - - jupyter_server=1.21.0=pyhd8ed1ab_0 - - nbconvert-pandoc=7.2.3=pyhd8ed1ab_0 - - nbconvert=7.2.3=pyhd8ed1ab_0 - - notebook-shim=0.2.0=pyhd8ed1ab_0 - - nbclassic=0.4.5=pyhd8ed1ab_0 - - notebook=6.5.1=pyha770c72_0 + - notebook=6.5.2=pyha770c72_1 - widgetsnbextension=3.6.1=pyha770c72_0 - ipywidgets=7.7.2=pyhd8ed1ab_0 - ipyfilechooser=0.6.0=pyhd8ed1ab_0 - pip: - geoh5py === 0.5.0 - simpeg-archive === 0.9.1.dev5 - - mira-simpeg === 0.15.1.dev6 + - mira-simpeg === 0.15.1.dev7 + - param-sweeps === 0.1.3 variables: KMP_WARNINGS: 0 diff --git a/environments/conda-py-3.9-win-64.lock.yml b/environments/conda-py-3.9-win-64.lock.yml index 864b4373e..6e5d27c29 100644 --- a/environments/conda-py-3.9-win-64.lock.yml +++ b/environments/conda-py-3.9-win-64.lock.yml @@ -1,21 +1,22 @@ # Generated by conda-lock. # platform: win-64 -# input_hash: 5ea9d9c263b785a8e81c144a01e560eb53aaf945ca8817591f16f443fe302144 +# input_hash: 7df0bb660333db67935439fc7324739253b154a7c620f848fbe0f3361ba130ff channels: - conda-forge - defaults dependencies: - - ca-certificates=2022.9.24=h5b45459_0 + - ca-certificates=2022.12.7=h5b45459_0 - font-ttf-dejavu-sans-mono=2.37=hab24e00_0 - font-ttf-inconsolata=3.000=h77eed37_0 - font-ttf-source-code-pro=2.038=h77eed37_0 - font-ttf-ubuntu=0.83=hab24e00_0 - - intel-openmp=2022.1.0=h57928b3_3787 + - intel-openmp=2022.2.1=h57928b3_19741 - msys2-conda-epoch=20160418=1 - pandoc=2.19.2=h57928b3_1 - poppler-data=0.4.11=hd8ed1ab_0 - - tzdata=2022f=h191b570_0 + - python_abi=3.9=3_cp39 + - tzdata=2022g=h191b570_0 - ucrt=10.0.22621.0=h57928b3_0 - winpty=0.4.3=4 - fonts-conda-forge=1=0 @@ -30,7 +31,7 @@ dependencies: - charls=2.3.4=h39d44d4_0 - dav1d=1.0.0=h8ffe710_1 - expat=2.5.0=h1537add_0 - - geos=3.11.0=h39d44d4_0 + - geos=3.11.1=h1537add_0 - giflib=5.2.1=h8d14728_2 - icu=70.1=h0e60522_0 - jpeg=9e=h8ffe710_2 @@ -42,17 +43,17 @@ dependencies: - libffi=3.4.2=h8ffe710_5 - libiconv=1.17=h8ffe710_0 - libsodium=1.0.18=h8d14728_1 - - libsqlite=3.39.4=hcfcfb64_0 + - libsqlite=3.40.0=hcfcfb64_0 - libwebp-base=1.2.4=h8ffe710_0 - libzlib=1.2.13=hcfcfb64_4 - libzopfli=1.0.3=h0e60522_0 - lz4-c=1.9.3=h8ffe710_1 - m2w64-gcc-libgfortran=5.3.0=6 - - openssl=3.0.7=hcfcfb64_0 - - pcre=8.45=h0e60522_0 + - openssl=3.0.7=hcfcfb64_1 - pixman=0.40.0=h8ffe710_0 - - snappy=1.1.9=h82413e6_1 - - tbb=2021.6.0=h91493d7_1 + - pthreads-win32=2.9.1=hfa6e2cd_3 + - qhull=2020.2=h70d2c02_2 + - snappy=1.1.9=hfb803bf_2 - tk=8.6.12=h8ffe710_0 - xerces-c=3.2.4=h63175ca_1 - xz=5.2.6=h8d14728_0 @@ -65,85 +66,82 @@ dependencies: - libavif=0.11.1=h8f5c5bc_0 - libbrotlidec=1.0.9=hcfcfb64_8 - libbrotlienc=1.0.9=hcfcfb64_8 - - libpng=1.6.38=h19919ed_0 - - librttopo=1.1.0=h2842628_11 + - libpng=1.6.39=h19919ed_0 + - librttopo=1.1.0=he22b5cd_12 - libssh2=1.10.0=h9a1e1f7_3 - libxml2=2.10.3=hc3477c8_0 - libzip=1.9.2=h519de47_1 - m2w64-gcc-libs=5.3.0=7 - - mkl=2022.1.0=h6a75c08_874 - - pcre2=10.37=hdfff0fc_1 - - sqlite=3.39.4=hcfcfb64_0 + - pcre2=10.40=h17e33f8_0 + - python=3.9.15=h4de0772_0_cpython + - sqlite=3.40.0=hcfcfb64_0 - zeromq=4.3.4=h0e60522_1 - zlib=1.2.13=hcfcfb64_4 - zstd=1.5.2=h7755175_4 - - blosc=1.21.1=h74325e0_3 - - boost-cpp=1.78.0=h9f4b32c_1 - - brotli-bin=1.0.9=hcfcfb64_8 - - c-blosc2=2.4.3=h183a6f4_0 - - freetype=2.12.1=h546665d_0 - - hdf4=4.2.15=h1b1b6ef_5 - - libblas=3.9.0=16_win64_mkl - - libcurl=7.86.0=heaf79c2_0 - - libglib=2.74.1=h79619a9_0 - - libpq=14.5=hf15792c_1 - - libtiff=4.4.0=h8e97e67_4 - - pthread-stubs=0.4=hcd874cb_1001 - - python=3.9.13=hcf16a7b_0_cpython - - xorg-libxau=1.0.9=hcd874cb_0 - - xorg-libxdmcp=1.1.3=hcd874cb_0 + - _ipython_minor_entry_point=8.7.0=h8cf3c4a_0 - asciitree=0.3.3=py_2 - backcall=0.2.0=pyh9f0ad1d_0 - - backports=1.0=py_2 - - brotli=1.0.9=hcfcfb64_8 + - backports=1.0=pyhd8ed1ab_3 + - blosc=1.21.2=hdccc3a2_0 + - boost-cpp=1.78.0=h9f4b32c_1 + - brotli-bin=1.0.9=hcfcfb64_8 + - brotli-python=1.0.9=py39h99910a6_8 + - c-blosc2=2.6.0=h183a6f4_0 - cached_property=1.5.2=pyha770c72_1 - - certifi=2022.9.24=pyhd8ed1ab_0 - - cfitsio=4.1.0=h5a969a9_0 + - certifi=2022.12.7=pyhd8ed1ab_0 - cloudpickle=2.2.0=pyhd8ed1ab_0 - colorama=0.4.6=pyhd8ed1ab_0 - - curl=7.86.0=heaf79c2_0 - cycler=0.11.0=pyhd8ed1ab_0 + - debugpy=1.6.4=py39h99910a6_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - entrypoints=0.4=pyhd8ed1ab_0 - executing=1.2.0=pyhd8ed1ab_0 - fasteners=0.17.3=pyhd8ed1ab_0 - - flit-core=3.7.1=pyhd8ed1ab_0 - - fontconfig=2.14.1=hbde0cde_0 - - fsspec=2022.10.0=pyhd8ed1ab_0 + - flit-core=3.8.0=pyhd8ed1ab_0 + - freetype=2.12.1=h546665d_1 + - fsspec=2022.11.0=pyhd8ed1ab_0 - future=0.18.2=pyhd8ed1ab_6 - - hdf5=1.12.2=nompi_h57737ce_100 + - hdf4=4.2.15=h1b1b6ef_5 - heapdict=1.0.1=py_0 - idna=3.4=pyhd8ed1ab_0 - ipython_genutils=0.2.0=py_1 - itsdangerous=2.1.2=pyhd8ed1ab_0 - jupyterlab_widgets=1.1.1=pyhd8ed1ab_0 - - lcms2=2.14=h90d422f_0 - - libcblas=3.9.0=16_win64_mkl - - libkml=1.3.0=hf2ab4e4_1015 - - liblapack=3.9.0=16_win64_mkl - - libxcb=1.13=hcd874cb_1004 + - kiwisolver=1.4.4=py39h1f6ef14_1 + - libcurl=7.86.0=heaf79c2_1 + - libglib=2.74.1=he8f3873_1 + - libhwloc=2.8.0=h039e092_1 + - libpq=15.1=hf15792c_1 + - libtiff=4.4.0=h8e97e67_4 + - llvmlite=0.39.1=py39hd28a505_1 - locket=1.0.0=pyhd8ed1ab_0 + - markupsafe=2.1.1=py39ha55989b_2 - mistune=2.0.4=pyhd8ed1ab_0 + - msgpack-python=1.0.4=py39h1f6ef14_1 - munkres=1.1.4=pyh9f0ad1d_0 - nest-asyncio=1.5.6=pyhd8ed1ab_0 - - networkx=2.8.7=pyhd8ed1ab_0 - - openjpeg=2.5.0=hc9384bd_1 + - networkx=2.8.8=pyhd8ed1ab_0 + - packaging=22.0=pyhd8ed1ab_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.3=pyhd8ed1ab_0 - pickleshare=0.7.5=py_1003 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0 - - postgresql=14.5=h58a5ca5_1 - - proj=9.1.0=h3863b3b_0 - prometheus_client=0.15.0=pyhd8ed1ab_0 + - psutil=5.9.4=py39ha55989b_0 + - pthread-stubs=0.4=hcd874cb_1001 - pure_eval=0.2.2=pyhd8ed1ab_0 - pycparser=2.21=pyhd8ed1ab_0 - pyparsing=3.0.9=pyhd8ed1ab_0 + - pyrsistent=0.19.2=py39ha55989b_0 - python-fastjsonschema=2.16.2=pyhd8ed1ab_0 - - python_abi=3.9=2_cp39 - - pytz=2022.5=pyhd8ed1ab_0 + - pytz=2022.6=pyhd8ed1ab_0 + - pywin32=304=py39h99910a6_2 + - pywinpty=2.0.9=py39h99910a6_0 + - pyyaml=6.0=py39ha55989b_5 + - pyzmq=24.0.1=py39hea35a22_1 - send2trash=1.8.0=pyhd8ed1ab_0 - - setuptools=65.5.0=pyhd8ed1ab_0 + - setuptools=65.5.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.0=pyhd8ed1ab_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 @@ -152,134 +150,141 @@ dependencies: - tenacity=8.1.0=pyhd8ed1ab_0 - threadpoolctl=3.1.0=pyh8a188c0_0 - toolz=0.12.0=pyhd8ed1ab_0 - - traitlets=5.5.0=pyhd8ed1ab_0 + - tornado=6.1=py39hb82d6ee_3 + - traitlets=5.7.1=pyhd8ed1ab_0 - typing_extensions=4.4.0=pyha770c72_0 + - unicodedata2=15.0.0=py39ha55989b_0 - utm=0.7.0=pyhd8ed1ab_0 - webencodings=0.5.1=py_1 - - websocket-client=1.4.1=pyhd8ed1ab_0 - - wheel=0.37.1=pyhd8ed1ab_0 + - websocket-client=1.4.2=pyhd8ed1ab_0 + - wheel=0.38.4=pyhd8ed1ab_0 - win_inet_pton=1.1.0=pyhd8ed1ab_6 - - zipp=3.10.0=pyhd8ed1ab_0 + - xorg-libxau=1.0.9=hcd874cb_0 + - xorg-libxdmcp=1.1.3=hcd874cb_0 + - zipp=3.11.0=pyhd8ed1ab_0 - ansi2html=1.8.0=py39hcbf5309_1 - anyio=3.6.2=pyhd8ed1ab_0 - - asttokens=2.1.0=pyhd8ed1ab_0 + - asttokens=2.2.1=pyhd8ed1ab_0 - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 - beautifulsoup4=4.11.1=pyha770c72_0 - - brotli-python=1.0.9=py39h99910a6_8 + - bleach=5.0.1=pyhd8ed1ab_0 + - brotli=1.0.9=hcfcfb64_8 - cached-property=1.5.2=hd8ed1ab_1 - - cairo=1.16.0=hd694305_1014 - cffi=1.15.1=py39h68f70e3_2 + - cfitsio=4.2.0=h9ebe7e4_0 - click=8.1.3=win_pyhd8ed1ab_2 + - comm=0.1.2=pyhd8ed1ab_0 + - curl=7.86.0=heaf79c2_1 - cytoolz=0.12.0=py39ha55989b_1 - - debugpy=1.6.3=py39h99910a6_1 - - geotiff=1.7.1=h4ffd875_4 - - importlib-metadata=5.0.0=pyha770c72_1 - - importlib_resources=5.10.0=pyhd8ed1ab_0 - - jedi=0.18.1=pyhd8ed1ab_2 + - fontconfig=2.14.1=hbde0cde_0 + - hdf5=1.12.2=nompi_h57737ce_100 + - importlib-metadata=5.1.0=pyha770c72_0 + - importlib_resources=5.10.1=pyhd8ed1ab_0 + - jedi=0.18.2=pyhd8ed1ab_0 + - jinja2=3.1.2=pyhd8ed1ab_1 - joblib=1.2.0=pyhd8ed1ab_0 - - kealib=1.4.15=hdf81f3a_1 - - kiwisolver=1.4.4=py39h1f6ef14_1 - - libnetcdf=4.8.1=nompi_h8c042bf_106 - - libspatialite=5.0.1=hd560d62_21 - - llvmlite=0.39.1=py39hd28a505_1 - - markupsafe=2.1.1=py39ha55989b_2 + - jupyter_core=5.1.0=py39hcbf5309_0 + - lcms2=2.14=h90d422f_0 + - libkml=1.3.0=hf2ab4e4_1015 + - libxcb=1.13=hcd874cb_1004 - matplotlib-inline=0.1.6=pyhd8ed1ab_0 - - msgpack-python=1.0.4=py39h1f6ef14_1 - munch=2.5.0=py_0 - - numpy=1.23.4=py39hbccbffa_1 - - packaging=21.3=pyhd8ed1ab_0 + - openjpeg=2.5.0=hc9384bd_1 - partd=1.3.0=pyhd8ed1ab_0 - - pillow=9.2.0=py39h595c93f_3 - - pip=22.3=pyhd8ed1ab_0 - - plotly=5.11.0=pyhd8ed1ab_0 - - psutil=5.9.3=py39ha55989b_1 + - pip=22.3.1=pyhd8ed1ab_0 + - plotly=5.11.0=pyhd8ed1ab_1 + - postgresql=15.1=h58a5ca5_1 + - proj=9.1.0=h3863b3b_0 - pygments=2.13.0=pyhd8ed1ab_0 - - pyrsistent=0.18.1=py39ha55989b_2 - pysocks=1.7.1=pyh0701188_6 - python-dateutil=2.8.2=pyhd8ed1ab_0 - - pywin32=304=py39h99910a6_2 - - pywinpty=2.0.9=py39h99910a6_0 - - pyyaml=6.0=py39ha55989b_5 - - pyzmq=24.0.1=py39hea35a22_1 - retrying=1.3.3=py_2 - - tiledb=2.11.3=h3132609_1 + - tbb=2021.7.0=h91493d7_1 + - terminado=0.17.0=pyh08f2357_0 - tinycss2=1.2.1=pyhd8ed1ab_0 - - tornado=6.1=py39hb82d6ee_3 - tqdm=4.64.1=pyhd8ed1ab_0 - typing-extensions=4.4.0=hd8ed1ab_0 - - unicodedata2=15.0.0=py39ha55989b_0 + - werkzeug=2.2.2=pyhd8ed1ab_0 - zict=2.2.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py39ha55989b_3 - - bleach=5.0.1=pyhd8ed1ab_0 - brotlipy=0.7.0=py39ha55989b_1005 + - cairo=1.16.0=hd694305_1014 - click-plugins=1.1.1=py_0 - cligj=0.7.2=pyhd8ed1ab_1 - - contourpy=1.0.6=py39h1f6ef14_0 - - cryptography=38.0.2=py39hb6bd5e6_2 + - cryptography=38.0.4=py39hb6bd5e6_0 - dask-core=2022.10.0=pyhd8ed1ab_2 + - flask=2.2.2=pyhd8ed1ab_0 - fonttools=4.38.0=py39ha55989b_1 - - h5py=3.7.0=nompi_py39hbc6f334_102 - - imagecodecs=2022.9.26=py39h414dd1e_3 - - imageio=2.22.0=pyhfa7a67d_0 - - jinja2=3.1.2=pyhd8ed1ab_1 - - jsonschema=4.16.0=pyhd8ed1ab_0 - - jupyter_core=4.11.1=py39hcbf5309_1 + - geotiff=1.7.1=h4ffd875_4 + - jsonschema=4.17.3=pyhd8ed1ab_0 + - jupyter_client=7.3.4=pyhd8ed1ab_0 - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 - - numba=0.56.3=py39h99ae161_0 + - kealib=1.5.0=h61be68b_0 + - libnetcdf=4.8.1=nompi_h8c042bf_106 + - libspatialite=5.0.1=h07bf483_22 + - mkl=2022.1.0=h6a75c08_874 + - pillow=9.2.0=py39h595c93f_3 + - stack_data=0.6.2=pyhd8ed1ab_0 + - tiledb=2.13.0=h3132609_0 + - wcwidth=0.2.5=pyh9f0ad1d_2 + - argon2-cffi=21.3.0=pyhd8ed1ab_0 + - flask-compress=1.13=pyhd8ed1ab_0 + - libblas=3.9.0=16_win64_mkl + - nbformat=5.7.0=pyhd8ed1ab_0 + - poppler=22.12.0=ha6c1112_0 + - prompt-toolkit=3.0.36=pyha770c72_0 + - pyopenssl=22.1.0=pyhd8ed1ab_0 + - dash=2.7.1=pyhd8ed1ab_0 + - ipython=8.7.0=pyh08f2357_0 + - libcblas=3.9.0=16_win64_mkl + - libgdal=3.6.0=hefe12b1_14 + - liblapack=3.9.0=16_win64_mkl + - nbclient=0.7.2=pyhd8ed1ab_0 + - urllib3=1.26.13=pyhd8ed1ab_0 + - dash-daq=0.5.0=pyh9f0ad1d_1 + - distributed=2022.10.0=pyhd8ed1ab_2 + - ipykernel=6.19.2=pyh025b116_0 + - nbconvert-core=7.2.6=pyhd8ed1ab_0 + - numpy=1.23.5=py39hbccbffa_0 + - contourpy=1.0.6=py39h1f6ef14_0 + - gdal=3.6.0=py39h3be0312_14 + - h5py=3.7.0=nompi_py39hbc6f334_102 + - imagecodecs=2022.9.26=py39haf5b5c4_4 + - imageio=2.22.4=pyhfa7a67d_1 + - jupyter-dash=0.4.2=pyhd8ed1ab_1 + - jupyter_server=1.23.3=pyhd8ed1ab_0 + - nbconvert-pandoc=7.2.6=pyhd8ed1ab_0 + - numba=0.56.4=py39h99ae161_0 - numcodecs=0.10.2=py39h415ef7b_0 - - pandas=1.5.1=py39h2ba5b7c_1 - - poppler=22.10.0=ha6c1112_0 + - pandas=1.5.2=py39h2ba5b7c_0 - pywavelets=1.3.0=py39hc266a54_2 - - scipy=1.9.3=py39hfbf2dce_1 - - shapely=1.8.5=py39h6f18ba6_1 - - stack_data=0.6.0=pyhd8ed1ab_0 - - terminado=0.17.0=pyh08f2357_0 + - scipy=1.9.3=py39hfbf2dce_2 + - shapely=2.0.0=py39h7c5f289_0 - vectormath=0.2.2=py_0 - - wcwidth=0.2.5=pyh9f0ad1d_2 - - werkzeug=2.2.2=pyhd8ed1ab_0 - - argon2-cffi=21.3.0=pyhd8ed1ab_0 - discretize=0.7.4=py39hefe7e4c_0 - empymod=2.2.1=pyhd8ed1ab_0 - - flask=2.2.2=pyhd8ed1ab_0 - - jupyter_client=7.3.4=pyhd8ed1ab_0 - - libgdal=3.5.3=h283e77c_0 - - matplotlib-base=3.6.1=py39haf65ace_1 - - nbformat=5.7.0=pyhd8ed1ab_0 - - prompt-toolkit=3.0.31=pyha770c72_0 + - fiona=1.8.22=py39hb5a1417_3 + - matplotlib-base=3.6.2=py39haf65ace_0 + - nbconvert=7.2.6=pyhd8ed1ab_0 + - notebook-shim=0.2.2=pyhd8ed1ab_0 - properties=0.6.1=py_0 - pydiso=0.0.3=py39h9be9993_4 - - pyopenssl=22.1.0=pyhd8ed1ab_0 - - scikit-learn=1.1.3=py39h6fe01c0_1 + - scikit-learn=1.2.0=py39h6fe01c0_0 - tifffile=2022.10.10=pyhd8ed1ab_0 - zarr=2.13.3=pyhd8ed1ab_0 - - flask-compress=1.13=pyhd8ed1ab_0 - - gdal=3.5.3=py39h3be0312_0 - geoana=0.0.6=py_1 - - ipython=8.6.0=pyh08f2357_1 - - nbclient=0.7.0=pyhd8ed1ab_0 + - nbclassic=0.4.8=pyhd8ed1ab_0 - pymatsolver=0.2.0=pyhd8ed1ab_0 - scikit-image=0.19.3=py39h2ba5b7c_2 - - urllib3=1.26.11=pyhd8ed1ab_0 - - dash=2.6.2=pyhd8ed1ab_0 - - distributed=2022.10.0=pyhd8ed1ab_2 - - fiona=1.8.22=py39h9e0966e_1 - - ipykernel=6.17.0=pyh025b116_0 - - nbconvert-core=7.2.3=pyhd8ed1ab_0 - - dash-daq=0.5.0=pyh9f0ad1d_1 - - jupyter-dash=0.4.2=pyhd8ed1ab_1 - - jupyter_server=1.21.0=pyhd8ed1ab_0 - - nbconvert-pandoc=7.2.3=pyhd8ed1ab_0 - - nbconvert=7.2.3=pyhd8ed1ab_0 - - notebook-shim=0.2.0=pyhd8ed1ab_0 - - nbclassic=0.4.5=pyhd8ed1ab_0 - - notebook=6.5.1=pyha770c72_0 + - notebook=6.5.2=pyha770c72_1 - widgetsnbextension=3.6.1=pyha770c72_0 - ipywidgets=7.7.2=pyhd8ed1ab_0 - ipyfilechooser=0.6.0=pyhd8ed1ab_0 - pip: - geoh5py === 0.5.0 - simpeg-archive === 0.9.1.dev5 - - mira-simpeg === 0.15.1.dev6 + - mira-simpeg === 0.15.1.dev7 + - param-sweeps === 0.1.3 variables: KMP_WARNINGS: 0 diff --git a/geoapps/__init__.py b/geoapps/__init__.py index 51229881b..c463c1c09 100644 --- a/geoapps/__init__.py +++ b/geoapps/__init__.py @@ -5,4 +5,4 @@ # geoapps is distributed under the terms and conditions of the MIT License # (see LICENSE file at the root of this source code package). -__version__ = "0.9.0" +__version__ = "0.9.1" diff --git a/geoapps/block_model_creation/constants.py b/geoapps/block_model_creation/constants.py index 6d09ad398..d1a37f7df 100644 --- a/geoapps/block_model_creation/constants.py +++ b/geoapps/block_model_creation/constants.py @@ -20,11 +20,11 @@ "depth_core": None, "expansion_fact": None, "new_grid": None, + "generate_sweep": False, "workspace_geoh5": None, "conda_environment": "geoapps", "conda_environment_boolean": False, "run_command": "geoapps.block_model_creation.driver", - "run_command_boolean": False, "monitoring_directory": None, } @@ -34,12 +34,6 @@ "title": "Block Model Creation", "geoh5": "", "run_command": "geoapps.block_model_creation.driver", - "run_command_boolean": { - "value": False, - "label": "Run python module ", - "tooltip": "Warning: launches process to run python model on save", - "main": True, - }, "monitoring_directory": "", "conda_environment": "geoapps", "conda_environment_boolean": False, @@ -102,6 +96,12 @@ "label": "Expansion factor", "value": 0.0, }, + "generate_sweep": { + "label": "Generate sweep file", + "group": "Python run preferences", + "main": True, + "value": False, + }, } ) diff --git a/geoapps/block_model_creation/driver.py b/geoapps/block_model_creation/driver.py index 26d71683e..47a09df23 100644 --- a/geoapps/block_model_creation/driver.py +++ b/geoapps/block_model_creation/driver.py @@ -14,20 +14,26 @@ import numpy as np from discretize.utils import mesh_utils from geoh5py.objects import BlockModel -from geoh5py.ui_json import InputFile, monitored_directory_copy +from geoh5py.ui_json import monitored_directory_copy from geoh5py.workspace import Workspace from scipy.spatial import cKDTree +from geoapps.block_model_creation.constants import validations from geoapps.block_model_creation.params import BlockModelParams +from geoapps.driver_base.driver import BaseDriver from geoapps.shared_utils.utils import get_locations -class BlockModelDriver: +class BlockModelDriver(BaseDriver): """ Create BlockModel from BlockModelParams. """ + _params_class = BlockModelParams + _validations = validations + def __init__(self, params: BlockModelParams): + super().__init__(params) self.params: BlockModelParams = params @staticmethod @@ -40,11 +46,11 @@ def truncate_locs_depths(locs: np.ndarray, depth_core: float) -> np.ndarray: :return locs: locs with depths truncated. """ - zmax = locs[:, 2].max() # top of locs - below_core_ind = (zmax - locs[:, 2]) > depth_core + zmax = locs[:, -1].max() # top of locs + below_core_ind = (zmax - locs[:, -1]) > depth_core core_bottom_elev = zmax - depth_core locs[ - below_core_ind, 2 + below_core_ind, -1 ] = core_bottom_elev # sets locations below core to core bottom return locs @@ -61,7 +67,7 @@ def minimum_depth_core( :return depth_core: Minimum depth core. """ - zrange = locs[:, 2].max() - locs[:, 2].min() # locs z range + zrange = locs[:, -1].max() - locs[:, -1].min() # locs z range if depth_core >= zrange: return depth_core - zrange + core_z_cell_size else: @@ -162,6 +168,7 @@ def run(self): 0.0, ] + print("Creating block model . . .") object_out = BlockModelDriver.get_block_model( self.params.geoh5, self.params.new_grid, @@ -190,13 +197,5 @@ def run(self): if __name__ == "__main__": - print("Loading geoh5 file . . .") file = sys.argv[1] - ifile = InputFile.read_ui_json(file) - params_class = BlockModelParams(ifile) - - driver = BlockModelDriver(params_class) - print("Loaded. Creating block model . . .") - with params_class.geoh5.open("r+"): - driver.run() - print("Saved to " + params_class.geoh5.h5file) + BlockModelDriver.start(file) diff --git a/geoapps/clustering/constants.py b/geoapps/clustering/constants.py index d730c725d..b9ab15de2 100644 --- a/geoapps/clustering/constants.py +++ b/geoapps/clustering/constants.py @@ -25,7 +25,6 @@ "color_pickers": None, "plot_kmeans": None, "run_command": "geoapps.clustering.application", - "run_command_boolean": False, "workspace_geoh5": None, "conda_environment": "geoapps", "conda_environment_boolean": False, diff --git a/geoapps/clustering/driver.py b/geoapps/clustering/driver.py index 26e58ea88..5aab1d322 100644 --- a/geoapps/clustering/driver.py +++ b/geoapps/clustering/driver.py @@ -22,13 +22,20 @@ from scipy.spatial import cKDTree from sklearn.cluster import KMeans +from geoapps.clustering.constants import validations from geoapps.clustering.params import ClusteringParams +from geoapps.driver_base.driver import BaseDriver from geoapps.shared_utils.utils import colors, hex_to_rgb from geoapps.utils.statistics import random_sampling -class ClusteringDriver: +class ClusteringDriver(BaseDriver): + + _params_class = ClusteringParams + _validations = validations + def __init__(self, params: ClusteringParams): + super().__init__(params) self.params: ClusteringParams = params @staticmethod diff --git a/geoapps/contours/constants.py b/geoapps/contours/constants.py index c8be89f52..76a8497ec 100644 --- a/geoapps/contours/constants.py +++ b/geoapps/contours/constants.py @@ -20,13 +20,13 @@ "fixed_contours": "", "resolution": None, "ga_group_name": None, + "generate_sweep": False, "window_azimuth": None, "window_center_x": None, "window_center_y": None, "window_width": None, "window_height": None, "run_command": "geoapps.contours.driver", - "run_command_boolean": False, "workspace_geoh5": None, "conda_environment": "geoapps", "conda_environment_boolean": False, @@ -38,12 +38,6 @@ "title": "Create Contours", "geoh5": "", "run_command": "geoapps.contours.driver", - "run_command_boolean": { - "value": False, - "label": "Run python module ", - "tooltip": "Warning: launches process to run python model on save", - "main": True, - }, "monitoring_directory": "", "conda_environment": "geoapps", "conda_environment_boolean": False, @@ -160,6 +154,12 @@ "value": "Contours", "group": "Python run preferences", }, + "generate_sweep": { + "label": "Generate sweep file", + "group": "Python run preferences", + "main": True, + "value": False, + }, "resolution": 50.0, "plot_result": True, } diff --git a/geoapps/contours/driver.py b/geoapps/contours/driver.py index 2ccc52a43..0855a6f48 100644 --- a/geoapps/contours/driver.py +++ b/geoapps/contours/driver.py @@ -14,19 +14,25 @@ import numpy as np from geoh5py.groups import ContainerGroup from geoh5py.objects import Curve, Points, Surface -from geoh5py.ui_json import InputFile from geoh5py.ui_json.utils import monitored_directory_copy from matplotlib.pyplot import axes from scipy.interpolate import LinearNDInterpolator +from geoapps.contours.constants import validations from geoapps.contours.params import ContoursParams +from geoapps.driver_base.driver import BaseDriver from geoapps.shared_utils.utils import get_contours from geoapps.utils.formatters import string_name from geoapps.utils.plotting import plot_plan_data_selection -class ContoursDriver: +class ContoursDriver(BaseDriver): + + _params_class = ContoursParams + _validations = validations + def __init__(self, params: ContoursParams): + super().__init__(params) self.params: ContoursParams = params self._unique_object = {} @@ -42,6 +48,7 @@ def run(self): self.params.fixed_contours, ) + print("Generating contours . . .") _, _, _, _, contour_set = plot_plan_data_selection( entity, data, @@ -127,12 +134,5 @@ def get_contour_string(min_val, max_val, step, fixed_contours): if __name__ == "__main__": - print("Loading geoh5 file . . .") file = sys.argv[1] - ifile = InputFile.read_ui_json(file) - params_class = ContoursParams(ifile) - driver = ContoursDriver(params_class) - print("Loaded. Running contour creation . . .") - with params_class.geoh5.open(mode="r+"): - driver.run() - print("Saved to " + ifile.path) + ContoursDriver.start(file) diff --git a/geoapps/driver_base/driver.py b/geoapps/driver_base/driver.py new file mode 100644 index 000000000..07e24f2cd --- /dev/null +++ b/geoapps/driver_base/driver.py @@ -0,0 +1,64 @@ +# Copyright (c) 2022 Mira Geoscience Ltd. +# +# This file is part of geoapps. +# +# geoapps is distributed under the terms and conditions of the MIT License +# (see LICENSE file at the root of this source code package). + +from __future__ import annotations + +import os +from abc import ABC, abstractmethod + +from geoh5py.ui_json import InputFile +from param_sweeps.generate import generate + +from geoapps.driver_base.params import BaseParams + + +class BaseDriver(ABC): + + _params_class = BaseParams + _validations = None + + def __init__(self, params: BaseParams): + self.params = params + + @abstractmethod + def run(self): + """Run the application.""" + raise NotImplementedError + + @classmethod + def start(cls, filepath: str): + """ + Run application specified by 'filepath' ui.json file. + + :param filepath: Path to valid ui.json file for the application driver. + """ + + print("Loading input file . . .") + filepath = os.path.abspath(filepath) + ifile = InputFile.read_ui_json(filepath, validations=cls._validations) + + generate_sweep = ifile.data.get("generate_sweep", None) + if generate_sweep: + ifile.data["generate_sweep"] = False + name = os.path.basename(filepath) + path = os.path.dirname(filepath) + ifile.write_ui_json(name=name, path=path) + generate( # pylint: disable=E1123 + filepath, update_values={"conda_environment": "geoapps"} + ) + else: + params = cls._params_class(ifile) + if hasattr(params, "inversion_type"): + params.inversion_type = params.inversion_type.replace("pseudo 3d", "2d") + print("Initializing application . . .") + driver = cls(params) + with params.geoh5.open("r+"): + print("Running application . . .") + driver.run() + print(f"Results saved to {params.geoh5.h5file}") + + return driver diff --git a/geoapps/driver_base/params.py b/geoapps/driver_base/params.py index 420a86ca1..c9f2b1d79 100644 --- a/geoapps/driver_base/params.py +++ b/geoapps/driver_base/params.py @@ -59,7 +59,6 @@ def __init__( self._workspace_geoh5: str = None self._geoh5 = None self._run_command: str = None - self._run_command_boolean: bool = None self._title = None self._conda_environment: str = None self._conda_environment_boolean: bool = None @@ -284,14 +283,6 @@ def run_command(self): def run_command(self, val): self.setter_validator("run_command", val) - @property - def run_command_boolean(self): - return self._run_command_boolean - - @run_command_boolean.setter - def run_command_boolean(self, val): - self.setter_validator("run_command_boolean", val) - @property def monitoring_directory(self): return self._monitoring_directory diff --git a/geoapps/driver_base/utils.py b/geoapps/driver_base/utils.py index 91de1cfea..eff7160be 100644 --- a/geoapps/driver_base/utils.py +++ b/geoapps/driver_base/utils.py @@ -80,72 +80,69 @@ def treemesh_2_octree(workspace, treemesh, **kwargs): return mesh_object +def cell_size_z(drape_model: DrapeModel) -> np.ndarray: + """Compute z cell sizes of drape model.""" + hz = [] + for prism in drape_model.prisms: + top_z, top_layer, n_layers = prism[2:] + bottoms = drape_model.layers[ + range(int(top_layer), int(top_layer + n_layers)), 2 + ] + z = np.hstack([top_z, bottoms]) + hz.append(z[:-1] - z[1:]) + return np.hstack(hz) + + def active_from_xyz( - mesh, xyz, grid_reference="cell_centers", method="linear", logical="all" + mesh: DrapeModel | Octree, + topo: np.ndarray, + grid_reference="center", + method="linear", ): """Returns an active cell index array below a surface - **** ADAPTED FROM discretize.utils.mesh_utils.active_from_xyz **** - + :param mesh: Mesh object + :param topo: Array of xyz locations + :param grid_reference: Cell reference. Must be "center", "top", or "bottom" + :param method: Interpolation method. Must be "linear", or "nearest" """ - if isinstance(mesh, DrapeModel) and grid_reference != "cell_centers": - raise ValueError("Drape models must use cell_centers grid reference.") + mesh_dim = 2 if isinstance(mesh, DrapeModel) else 3 + locations = mesh.centroids.copy() if method == "linear": - delaunay_2d = Delaunay(xyz[:, :2]) - z_interpolate = LinearNDInterpolator(delaunay_2d, xyz[:, 2]) + delaunay_2d = Delaunay(topo[:, :-1]) + z_interpolate = LinearNDInterpolator(delaunay_2d, topo[:, -1]) + elif method == "nearest": + z_interpolate = NearestNDInterpolator(topo[:, :-1], topo[:, -1]) else: - z_interpolate = NearestNDInterpolator(xyz[:, :2], xyz[:, 2]) + raise ValueError("Method must be 'linear', or 'nearest'") - if grid_reference == "cell_centers": - # this should work for all 4 mesh types... - locations = ( - mesh.centroids if isinstance(mesh, (DrapeModel, Octree)) else mesh.gridCC - ) - - elif grid_reference == "top_nodes": - locations = np.vstack( - [ - mesh.gridCC - + (np.c_[-1, 1, 1][:, None] * mesh.h_gridded / 2.0).squeeze(), - mesh.gridCC - + (np.c_[-1, -1, 1][:, None] * mesh.h_gridded / 2.0).squeeze(), - mesh.gridCC - + (np.c_[1, 1, 1][:, None] * mesh.h_gridded / 2.0).squeeze(), - mesh.gridCC - + (np.c_[1, -1, 1][:, None] * mesh.h_gridded / 2.0).squeeze(), - ] - ) - elif grid_reference == "bottom_nodes": - locations = np.vstack( - [ - mesh.gridCC - + (np.c_[-1, 1, -1][:, None] * mesh.h_gridded / 2.0).squeeze(), - mesh.gridCC - + (np.c_[-1, -1, -1][:, None] * mesh.h_gridded / 2.0).squeeze(), - mesh.gridCC - + (np.c_[1, 1, -1][:, None] * mesh.h_gridded / 2.0).squeeze(), - mesh.gridCC - + (np.c_[1, -1, -1][:, None] * mesh.h_gridded / 2.0).squeeze(), - ] - ) + if mesh_dim == 2: + z_offset = cell_size_z(mesh) / 2.0 + else: + z_offset = mesh.octree_cells["NCells"] * np.abs(mesh.w_cell_size) / 2 + + # Shift cell center location to top or bottom of cell + if grid_reference == "top": + locations[:, -1] += z_offset + elif grid_reference == "bottom": + locations[:, -1] -= z_offset + elif grid_reference == "center": + pass + else: + raise ValueError("'grid_reference' must be one of 'center', 'top', or 'bottom'") - # Interpolate z values on CC or N - z_xyz = z_interpolate(locations[:, :-1]).squeeze() + z_locations = z_interpolate(locations[:, :2]) # Apply nearest neighbour if in extrapolation - ind_nan = np.isnan(z_xyz) + ind_nan = np.isnan(z_locations) if any(ind_nan): - tree = cKDTree(xyz) + tree = cKDTree(topo) _, ind = tree.query(locations[ind_nan, :]) - z_xyz[ind_nan] = xyz[ind, -1] + z_locations[ind_nan] = topo[ind, -1] - # Create an active bool of all True - - n_cells = mesh.n_cells if isinstance(mesh, (DrapeModel, Octree)) else mesh.nC - active = getattr(np, logical)( - (locations[:, -1] < z_xyz).reshape((n_cells, -1), order="F"), axis=1 - ) + # fill_nan(locations, z_locations, filler=topo[:, -1]) - return active.ravel() + # Return the active cell array + return locations[:, -1] < z_locations diff --git a/geoapps/drivers/__init__.py b/geoapps/drivers/__init__.py deleted file mode 100644 index 01b045578..000000000 --- a/geoapps/drivers/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -# Copyright (c) 2022 Mira Geoscience Ltd. -# -# This file is part of geoapps. -# -# geoapps is distributed under the terms and conditions of the MIT License -# (see LICENSE file at the root of this source code package). diff --git a/geoapps/drivers/direct_current_inversion.py b/geoapps/drivers/direct_current_inversion.py deleted file mode 100644 index 36ce48ae1..000000000 --- a/geoapps/drivers/direct_current_inversion.py +++ /dev/null @@ -1,22 +0,0 @@ -# Copyright (c) 2022 Mira Geoscience Ltd. -# -# This file is part of geoapps. -# -# geoapps is distributed under the terms and conditions of the MIT License -# (see LICENSE file at the root of this source code package). - -from __future__ import annotations - -import sys -import warnings - -from geoapps.inversion.driver import start_inversion - -if __name__ == "__main__": - filepath = sys.argv[1] - warnings.warn( - "'geoapps.drivers.direct_current_inversion' replaced by " - "'geoapps.inversion.driver' in version 0.7.0. " - "This warning is likely due to the execution of older ui.json files. Please update." - ) - start_inversion(filepath) diff --git a/geoapps/drivers/grav_inversion.py b/geoapps/drivers/grav_inversion.py deleted file mode 100644 index 4c11c7cc8..000000000 --- a/geoapps/drivers/grav_inversion.py +++ /dev/null @@ -1,22 +0,0 @@ -# Copyright (c) 2022 Mira Geoscience Ltd. -# -# This file is part of geoapps. -# -# geoapps is distributed under the terms and conditions of the MIT License -# (see LICENSE file at the root of this source code package). - -from __future__ import annotations - -import sys -import warnings - -from geoapps.inversion.driver import start_inversion - -if __name__ == "__main__": - filepath = sys.argv[1] - warnings.warn( - "'geoapps.drivers.grav_inversion' replaced by " - "'geoapps.inversion.driver' in version 0.7.0. " - "This warning is likely due to the execution of older ui.json files. Please update." - ) - start_inversion(filepath) diff --git a/geoapps/drivers/induced_polarization_inversion.py b/geoapps/drivers/induced_polarization_inversion.py deleted file mode 100644 index 5bef00810..000000000 --- a/geoapps/drivers/induced_polarization_inversion.py +++ /dev/null @@ -1,22 +0,0 @@ -# Copyright (c) 2022 Mira Geoscience Ltd. -# -# This file is part of geoapps. -# -# geoapps is distributed under the terms and conditions of the MIT License -# (see LICENSE file at the root of this source code package). - -from __future__ import annotations - -import sys -import warnings - -from geoapps.inversion.driver import start_inversion - -if __name__ == "__main__": - filepath = sys.argv[1] - warnings.warn( - "'geoapps.drivers.induced_polarization_inversion' replaced by " - "'geoapps.inversion.driver' in version 0.7.0. " - "This warning is likely due to the execution of older ui.json files. Please update." - ) - start_inversion(filepath) diff --git a/geoapps/drivers/magnetic_scalar_inversion.py b/geoapps/drivers/magnetic_scalar_inversion.py deleted file mode 100644 index 58c65492a..000000000 --- a/geoapps/drivers/magnetic_scalar_inversion.py +++ /dev/null @@ -1,22 +0,0 @@ -# Copyright (c) 2022 Mira Geoscience Ltd. -# -# This file is part of geoapps. -# -# geoapps is distributed under the terms and conditions of the MIT License -# (see LICENSE file at the root of this source code package). - -from __future__ import annotations - -import sys -import warnings - -from geoapps.inversion.driver import start_inversion - -if __name__ == "__main__": - filepath = sys.argv[1] - warnings.warn( - "'geoapps.drivers.magnetic_scalar_inversion' replaced by " - "'geoapps.inversion.driver' in version 0.7.0. " - "This warning is likely due to the execution of older ui.json files. Please update." - ) - start_inversion(filepath) diff --git a/geoapps/drivers/magnetic_vector_inversion.py b/geoapps/drivers/magnetic_vector_inversion.py deleted file mode 100644 index a61a72d63..000000000 --- a/geoapps/drivers/magnetic_vector_inversion.py +++ /dev/null @@ -1,22 +0,0 @@ -# Copyright (c) 2022 Mira Geoscience Ltd. -# -# This file is part of geoapps. -# -# geoapps is distributed under the terms and conditions of the MIT License -# (see LICENSE file at the root of this source code package). - -from __future__ import annotations - -import sys -import warnings - -from geoapps.inversion.driver import start_inversion - -if __name__ == "__main__": - filepath = sys.argv[1] - warnings.warn( - "'geoapps.drivers.magnetic_vector_inversion' replaced by " - "'geoapps.inversion.driver' in version 0.7.0. " - "This warning is likely due to the execution of older ui.json files. Please update." - ) - start_inversion(filepath) diff --git a/geoapps/drivers/magnetotellurics_inversion.py b/geoapps/drivers/magnetotellurics_inversion.py deleted file mode 100644 index 3a3c64992..000000000 --- a/geoapps/drivers/magnetotellurics_inversion.py +++ /dev/null @@ -1,23 +0,0 @@ -# Copyright (c) 2022 Mira Geoscience Ltd. -# -# This file is part of geoapps. -# -# geoapps is distributed under the terms and conditions of the MIT License -# (see LICENSE file at the root of this source code package). - -from __future__ import annotations - -import sys -import warnings - -from geoapps.inversion.driver import start_inversion - -if __name__ == "__main__": - filepath = sys.argv[1] - - warnings.warn( - "'geoapps.drivers.magnetotellurics_inversion' replaced by " - "'geoapps.inversion.driver' in version 0.7.0. " - "This warning is likely due to the execution of older ui.json files. Please update." - ) - start_inversion(filepath) diff --git a/geoapps/edge_detection/constants.py b/geoapps/edge_detection/constants.py index c5b8e46de..1c377a58f 100644 --- a/geoapps/edge_detection/constants.py +++ b/geoapps/edge_detection/constants.py @@ -21,8 +21,8 @@ "window_azimuth": None, "export_as": "", "ga_group_name": None, + "generate_sweep": False, "run_command": "geoapps.edge_detection.driver", - "run_command_boolean": False, "workspace_geoh5": None, "conda_environment": "geoapps", "conda_environment_boolean": False, @@ -34,12 +34,6 @@ "title": "Edge Detection", "geoh5": "", "run_command": "geoapps.edge_detection.driver", - "run_command_boolean": { - "value": False, - "label": "Run python module ", - "tooltip": "Warning: launches process to run python model on save", - "main": True, - }, "monitoring_directory": "", "conda_environment": "geoapps", "conda_environment_boolean": False, @@ -157,6 +151,12 @@ "value": "", "group": "Python run preferences", }, + "generate_sweep": { + "label": "Generate sweep file", + "group": "Python run preferences", + "main": True, + "value": False, + }, "resolution": 50.0, "colorbar": False, "zoom_extent": False, diff --git a/geoapps/edge_detection/driver.py b/geoapps/edge_detection/driver.py index 4e19eb2a3..c70387a17 100644 --- a/geoapps/edge_detection/driver.py +++ b/geoapps/edge_detection/driver.py @@ -16,19 +16,24 @@ import numpy as np from geoh5py.groups import ContainerGroup from geoh5py.objects import Curve, Grid2D -from geoh5py.ui_json import InputFile from geoh5py.ui_json.utils import monitored_directory_copy from skimage.feature import canny from skimage.transform import probabilistic_hough_line +from geoapps.driver_base.driver import BaseDriver +from geoapps.edge_detection.constants import validations from geoapps.edge_detection.params import EdgeDetectionParams from geoapps.shared_utils.utils import filter_xy from geoapps.utils.formatters import string_name -class EdgeDetectionDriver: +class EdgeDetectionDriver(BaseDriver): + + _params_class = EdgeDetectionParams + _validations = validations + def __init__(self, params: EdgeDetectionParams): - self.params: EdgeDetectionParams = params + super().__init__(params) def run(self): """ @@ -36,27 +41,30 @@ def run(self): The application relies on the Canny and Hough transforms from the Scikit-Image library. """ - vertices, cells = EdgeDetectionDriver.get_edges(*self.params.edge_args()) - - if vertices is not None: - name = string_name(self.params.export_as) - - out_entity = ContainerGroup.create( - workspace=self.params.geoh5, - name=self.params.ga_group_name, - ) - Curve.create( - workspace=self.params.geoh5, - name=name, - vertices=vertices, - cells=cells, - parent=out_entity, - ) - - if self.params.monitoring_directory is not None and path.exists( - self.params.monitoring_directory - ): - monitored_directory_copy(self.params.monitoring_directory, out_entity) + with self.params.geoh5.open(mode="r+"): + vertices, cells = EdgeDetectionDriver.get_edges(*self.params.edge_args()) + + if vertices is not None: + name = string_name(self.params.export_as) + + out_entity = ContainerGroup.create( + workspace=self.params.geoh5, + name=self.params.ga_group_name, + ) + Curve.create( + workspace=self.params.geoh5, + name=name, + vertices=vertices, + cells=cells, + parent=out_entity, + ) + + if self.params.monitoring_directory is not None and path.exists( + self.params.monitoring_directory + ): + monitored_directory_copy( + self.params.monitoring_directory, out_entity + ) @staticmethod def get_edges( @@ -290,12 +298,5 @@ def get_indices( if __name__ == "__main__": - print("Loading geoh5 file . . .") file = sys.argv[1] - ifile = InputFile.read_ui_json(file) - params_class = EdgeDetectionParams(ifile) - driver = EdgeDetectionDriver(params_class) - print("Loaded. Running edge detection . . .") - with params_class.geoh5.open(mode="r+"): - driver.run() - print("Saved to " + ifile.path) + EdgeDetectionDriver.start(file) diff --git a/geoapps/interpolation/constants.py b/geoapps/interpolation/constants.py index fc72b6d69..8bb9709fa 100644 --- a/geoapps/interpolation/constants.py +++ b/geoapps/interpolation/constants.py @@ -25,8 +25,8 @@ "no_data_value": None, "out_object": None, "ga_group_name": None, + "generate_sweep": False, "run_command": "geoapps.interpolation.driver", - "run_command_boolean": False, "workspace_geoh5": None, "conda_environment": "geoapps", "conda_environment_boolean": False, @@ -38,12 +38,6 @@ "title": "Data Transfer", "geoh5": "", "run_command": "geoapps.interpolation.driver", - "run_command_boolean": { - "value": False, - "label": "Run python module ", - "tooltip": "Warning: launches process to run python model on save", - "main": True, - }, "monitoring_directory": "", "conda_environment": "geoapps", "conda_environment_boolean": False, @@ -188,6 +182,12 @@ "value": "_Interp", "group": "Python run preferences", }, + "generate_sweep": { + "label": "Generate sweep file", + "group": "Python run preferences", + "main": True, + "value": False, + }, } ) diff --git a/geoapps/interpolation/driver.py b/geoapps/interpolation/driver.py index 5d19e2b8e..411560618 100644 --- a/geoapps/interpolation/driver.py +++ b/geoapps/interpolation/driver.py @@ -12,17 +12,23 @@ from os import path import numpy as np -from geoh5py.ui_json import InputFile from geoh5py.ui_json.utils import monitored_directory_copy from scipy.interpolate import LinearNDInterpolator from scipy.spatial import cKDTree +from geoapps.driver_base.driver import BaseDriver +from geoapps.interpolation.constants import validations from geoapps.interpolation.params import DataInterpolationParams from geoapps.shared_utils.utils import get_locations, weighted_average -class DataInterpolationDriver: +class DataInterpolationDriver(BaseDriver): + + _params_class = DataInterpolationParams + _validations = validations + def __init__(self, params: DataInterpolationParams): + super().__init__(params) self.params: DataInterpolationParams = params def run(self): @@ -174,14 +180,15 @@ def run(self): if __name__ == "__main__": - print("Loading geoh5 file . . .") file = sys.argv[1] - ifile = InputFile.read_ui_json(file) - params_class = DataInterpolationParams(ifile) - params_class.geoh5.close() - driver = DataInterpolationDriver(params_class) - print("Loaded. Starting data transfer . . .") - with params_class.geoh5.open(mode="r+"): - driver.run() - - print("Saved to " + params_class.geoh5.h5file) + DataInterpolationDriver.start(file) + + # ifile = InputFile.read_ui_json(file) + # params_class = DataInterpolationParams(ifile) + # params_class.geoh5.close() + # driver = DataInterpolationDriver(params_class) + # print("Loaded. Starting data transfer . . .") + # with params_class.geoh5.open(mode="r+"): + # driver.run() + # + # print("Saved to " + params_class.geoh5.h5file) diff --git a/geoapps/inversion/__init__.py b/geoapps/inversion/__init__.py index aa644d66c..3c5e12ee5 100644 --- a/geoapps/inversion/__init__.py +++ b/geoapps/inversion/__init__.py @@ -5,7 +5,45 @@ # geoapps is distributed under the terms and conditions of the MIT License # (see LICENSE file at the root of this source code package). +# isort: skip_file + from __future__ import annotations +from geoapps.inversion.params import InversionBaseParams # isort: skip +from geoapps.inversion.constants import default_ui_json +from geoapps.inversion.electricals.direct_current.three_dimensions.driver import ( + DirectCurrent3DDriver, +) +from geoapps.inversion.electricals.direct_current.two_dimensions.driver import ( + DirectCurrent2DDriver, +) +from geoapps.inversion.electricals.induced_polarization.three_dimensions.driver import ( + InducedPolarization3DDriver, +) +from geoapps.inversion.electricals.induced_polarization.two_dimensions.driver import ( + InducedPolarization2DDriver, +) +from geoapps.inversion.natural_sources.magnetotellurics.driver import ( + MagnetotelluricsDriver, +) +from geoapps.inversion.natural_sources.tipper.driver import TipperDriver + +from geoapps.inversion.potential_fields.gravity.driver import GravityDriver +from geoapps.inversion.potential_fields.magnetic_scalar.driver import ( + MagneticScalarDriver, +) +from geoapps.inversion.potential_fields.magnetic_vector.driver import ( + MagneticVectorDriver, +) -from .constants import default_ui_json -from .params import InversionBaseParams +DRIVER_MAP = { + "gravity": GravityDriver, + "magnetic scalar": MagneticScalarDriver, + "magnetic vector": MagneticVectorDriver, + "direct current 3d": DirectCurrent3DDriver, + "direct current 2d": DirectCurrent2DDriver, + "induced polarization 3d": InducedPolarization3DDriver, + "induced polarization 2d": InducedPolarization2DDriver, + "induced polarization pseudo 3d": None, # InducedPolarizationPseudo3DDriver, + "magnetotellurics": MagnetotelluricsDriver, + "tipper": TipperDriver, +} diff --git a/geoapps/inversion/components/data.py b/geoapps/inversion/components/data.py index d232729bf..845f23dad 100644 --- a/geoapps/inversion/components/data.py +++ b/geoapps/inversion/components/data.py @@ -121,7 +121,7 @@ def __init__( self.entity = None self.data_entity = None self._observed_data_types = {} - self._survey = None + self.survey = None self._initialize() def _initialize(self) -> None: @@ -159,7 +159,7 @@ def _initialize(self) -> None: self.locations = self.apply_transformations(self.locations) self.entity = self.write_entity() self.locations = super().get_locations(self.entity) - self._survey, _ = self.survey() + self.survey, _ = self.create_survey() self.save_data(self.entity) def filter(self, a): @@ -167,9 +167,9 @@ def filter(self, a): if ( self.params.inversion_type in [ - "direct current", + "direct current 3d", "direct current 2d", - "induced polarization", + "induced polarization 3d", "induced polarization 2d", ] and self.indices is None @@ -266,12 +266,9 @@ def save_data(self, entity): uncerts = self._embed_2d(uncerts) entity.add_data({f"Uncertainties_{component}": {"values": uncerts}}) - if self.params.inversion_type in [ - "direct current", - "direct current 2d", - ]: + if "direct current" in self.params.inversion_type: self.transformations[component] = 1 / ( - geometric_factor(self._survey) + 1e-10 + geometric_factor(self.survey) + 1e-10 ) apparent_property = data[component].copy() @@ -422,10 +419,9 @@ def get_normalizations(self): return normalizations - def survey( + def create_survey( self, mesh: TreeMesh = None, - active_cells: np.ndarray = None, local_index: np.ndarray = None, channel=None, ): @@ -444,7 +440,6 @@ def survey( survey = survey_factory.build( data=self, mesh=mesh, - active_cells=active_cells, local_index=local_index, channel=channel, ) @@ -520,6 +515,8 @@ def simulate(self, model, inverse_problem, sorting): ) save_directive.save_components(0, dpred) + inverse_problem.dpred = dpred + @property def observed_data_types(self): """ diff --git a/geoapps/inversion/components/factories/directives_factory.py b/geoapps/inversion/components/factories/directives_factory.py index b18b6a86a..a657dfcb2 100644 --- a/geoapps/inversion/components/factories/directives_factory.py +++ b/geoapps/inversion/components/factories/directives_factory.py @@ -199,9 +199,9 @@ def assemble_keyword_arguments( ) elif self.factory_type in [ - "direct current", + "direct current 3d", "direct current 2d", - "induced polarization", + "induced polarization 3d", "induced polarization 2d", ]: @@ -254,7 +254,7 @@ def assemble_keyword_arguments( ] if self.factory_type in [ - "direct current", + "direct current 3d", "direct current 2d", "magnetotellurics", "tipper", diff --git a/geoapps/inversion/components/factories/entity_factory.py b/geoapps/inversion/components/factories/entity_factory.py index 7b2ca2fa8..e89ce931e 100644 --- a/geoapps/inversion/components/factories/entity_factory.py +++ b/geoapps/inversion/components/factories/entity_factory.py @@ -44,9 +44,9 @@ def factory_type(self): def concrete_object(self): """Returns a geoh5py object to be constructed by the build method.""" if self.factory_type in [ - "direct current", + "direct current 3d", "direct current 2d", - "induced polarization", + "induced polarization 3d", "induced polarization 2d", ]: @@ -66,9 +66,9 @@ def build(self, inversion_data: InversionData): """Constructs geoh5py object for provided inversion type.""" if self.factory_type in [ - "direct current", + "direct current 3d", "direct current 2d", - "induced polarization", + "induced polarization 3d", "induced polarization 2d", ]: return self._build_dcip(inversion_data) @@ -121,7 +121,10 @@ def _build(self, inversion_data: InversionData): ) if np.any(~inversion_data.mask): - entity.remove_vertices(~inversion_data.mask) + entity.remove_vertices(np.where(~inversion_data.mask)) + + if getattr(self.params.data_object, "parts", None) is not None: + entity.parts = self.params.data_object.parts[inversion_data.mask] if getattr(self.params.data_object, "base_stations", None) is not None: entity.base_stations = type(self.params.data_object.base_stations).create( diff --git a/geoapps/inversion/components/factories/misfit_factory.py b/geoapps/inversion/components/factories/misfit_factory.py index e9050cbf4..dee3fa3a5 100644 --- a/geoapps/inversion/components/factories/misfit_factory.py +++ b/geoapps/inversion/components/factories/misfit_factory.py @@ -81,7 +81,9 @@ def _generic_arguments( tile_num = 0 for local_index in tiles: - survey, local_index = inversion_data.survey(mesh, active_cells, local_index) + survey, local_index = inversion_data.create_survey( + mesh=mesh, local_index=local_index + ) lsim, lmap = inversion_data.simulation(mesh, active_cells, survey, tile_num) @@ -129,8 +131,8 @@ def _naturalsource_arguments( self.sorting.append(local_index) for freq in frequencies: - survey, local_index = inversion_data.survey( - mesh, active_cells, local_index, channel=freq + survey, local_index = inversion_data.create_survey( + mesh, local_index, channel=freq ) lsim, lmap = inversion_data.simulation( mesh, active_cells, survey, tile_num diff --git a/geoapps/inversion/components/factories/receiver_factory.py b/geoapps/inversion/components/factories/receiver_factory.py index 49f20722c..5fe6de8e4 100644 --- a/geoapps/inversion/components/factories/receiver_factory.py +++ b/geoapps/inversion/components/factories/receiver_factory.py @@ -66,7 +66,7 @@ def concrete_object(self): return receivers.Point3DTipper def assemble_arguments( - self, locations=None, data=None, local_index=None, mesh=None, active_cells=None + self, locations=None, data=None, local_index=None, mesh=None ): """Provides implementations to assemble arguments for receivers object.""" @@ -80,9 +80,9 @@ def assemble_arguments( ) if self.factory_type in [ - "direct current", + "direct current 3d", "direct current 2d", - "induced polarization", + "induced polarization 3d", "induced polarization 2d", ]: args += self._dcip_arguments( @@ -95,7 +95,6 @@ def assemble_arguments( locations=locations, local_index=local_index, mesh=mesh, - active_cells=active_cells, ) else: @@ -104,7 +103,7 @@ def assemble_arguments( return args def assemble_keyword_arguments( - self, locations=None, data=None, local_index=None, mesh=None, active_cells=None + self, locations=None, data=None, local_index=None, mesh=None ): """Provides implementations to assemble keyword arguments for receivers object.""" kwargs = {} @@ -118,15 +117,12 @@ def assemble_keyword_arguments( return kwargs - def build( - self, locations=None, data=None, local_index=None, mesh=None, active_cells=None - ): + def build(self, locations=None, data=None, local_index=None, mesh=None): receivers = super().build( locations=locations, data=data, local_index=local_index, mesh=mesh, - active_cells=active_cells, ) if ( @@ -135,10 +131,17 @@ def build( ): stations = self.params.data_object.base_stations.vertices if stations is not None: + if getattr(self.params.mesh, "rotation", None): + rotate_xyz( + stations, + self.params.mesh.origin.tolist(), + -1 * self.params.mesh.rotation[0], + ) + if stations.shape[0] == 1: stations = np.tile(stations.T, self.params.data_object.n_vertices).T - receivers.reference_locations = stations + receivers.reference_locations = stations[local_index, :] return receivers @@ -163,9 +166,7 @@ def _dcip_arguments(self, locations=None, local_index=None): return args - def _magnetotellurics_arguments( - self, locations=None, local_index=None, mesh=None, active_cells=None - ): + def _magnetotellurics_arguments(self, locations=None, local_index=None, mesh=None): args = [] locs = locations[local_index] diff --git a/geoapps/inversion/components/factories/simpeg_factory.py b/geoapps/inversion/components/factories/simpeg_factory.py index 07fca719b..446bd5ca4 100644 --- a/geoapps/inversion/components/factories/simpeg_factory.py +++ b/geoapps/inversion/components/factories/simpeg_factory.py @@ -42,9 +42,9 @@ class SimPEGFactory: "gravity", "magnetic scalar", "magnetic vector", - "direct current", + "direct current 3d", "direct current 2d", - "induced polarization", + "induced polarization 3d", "induced polarization 2d", "magnetotellurics", "tipper", diff --git a/geoapps/inversion/components/factories/simulation_factory.py b/geoapps/inversion/components/factories/simulation_factory.py index 642fb4510..72e2d2c95 100644 --- a/geoapps/inversion/components/factories/simulation_factory.py +++ b/geoapps/inversion/components/factories/simulation_factory.py @@ -33,9 +33,9 @@ def __init__(self, params: BaseParams): self.simpeg_object = self.concrete_object() if self.factory_type in [ - "direct current", + "direct current 3d", "direct current 2d", - "induced polarization", + "induced polarization 3d", "induced polarization 2d", "magnetotellurics", "tipper", @@ -56,7 +56,7 @@ def concrete_object(self): return simulation.Simulation3DIntegral - if self.factory_type == "direct current": + if self.factory_type == "direct current 3d": from SimPEG.electromagnetics.static.resistivity import simulation return simulation.Simulation3DNodal @@ -66,7 +66,7 @@ def concrete_object(self): return simulation_2d.Simulation2DNodal - if self.factory_type == "induced polarization": + if self.factory_type == "induced polarization 3d": from SimPEG.electromagnetics.static.induced_polarization import simulation return simulation.Simulation3DNodal @@ -112,6 +112,7 @@ def assemble_keyword_arguments( kwargs["survey"] = survey kwargs["sensitivity_path"] = sensitivity_path kwargs["max_chunk_size"] = self.params.max_chunk_size + # kwargs["n_cpu"] = self.params.n_cpu kwargs["store_sensitivities"] = ( "forward_only" if self.params.forward_only diff --git a/geoapps/inversion/components/factories/source_factory.py b/geoapps/inversion/components/factories/source_factory.py index cdc8ef0ad..f276b86d6 100644 --- a/geoapps/inversion/components/factories/source_factory.py +++ b/geoapps/inversion/components/factories/source_factory.py @@ -75,9 +75,9 @@ def assemble_arguments( ) if self.factory_type in [ - "direct current", + "direct current 3d", "direct current 2d", - "induced polarization", + "induced polarization 3d", "induced polarization 2d", ]: args += self._dcip_arguments( diff --git a/geoapps/inversion/components/factories/survey_factory.py b/geoapps/inversion/components/factories/survey_factory.py index a18cfc3df..2c64131f7 100644 --- a/geoapps/inversion/components/factories/survey_factory.py +++ b/geoapps/inversion/components/factories/survey_factory.py @@ -90,17 +90,15 @@ def concrete_object(self): return survey.Survey - def assemble_arguments( - self, data=None, mesh=None, active_cells=None, local_index=None, channel=None - ): + def assemble_arguments(self, data=None, mesh=None, local_index=None, channel=None): """Provides implementations to assemble arguments for receivers object.""" receiver_entity = data.entity if local_index is None: if self.factory_type in [ - "direct current", + "direct current 3d", "direct current 2d", - "induced polarization", + "induced polarization 3d", "induced polarization 2d", ]: n_data = receiver_entity.n_cells @@ -112,15 +110,15 @@ def assemble_arguments( self.local_index = local_index if self.factory_type in [ - "direct current", + "direct current 3d", "direct current 2d", - "induced polarization", + "induced polarization 3d", "induced polarization 2d", ]: return self._dcip_arguments(data=data, local_index=local_index) elif self.factory_type in ["magnetotellurics", "tipper"]: return self._naturalsource_arguments( - data=data, mesh=mesh, active_cells=active_cells, frequency=channel + data=data, mesh=mesh, frequency=channel ) else: receivers = ReceiversFactory(self.params).build( @@ -135,7 +133,6 @@ def build( self, data=None, mesh=None, - active_cells=None, local_index=None, indices=None, channel=None, @@ -146,7 +143,6 @@ def build( data=data, local_index=local_index, mesh=mesh, - active_cells=active_cells, channel=channel, ) @@ -157,19 +153,6 @@ def build( else: self._add_data(survey, data, local_index, channel) - if self.factory_type in [ - "direct current", - "direct current 2d", - "induced polarization", - "induced polarization 2d", - ]: - if ( - (mesh is not None) - and (active_cells is not None) - and self.params.z_from_topo - ): - survey.drape_electrodes_on_topography(mesh, active_cells) - survey.dummy = self.dummy return survey, self.local_index @@ -277,7 +260,7 @@ def _dcip_arguments(self, data=None, local_index=None): return None receiver_entity = data.entity - if self.factory_type in ["direct current 2d", "induced polarization 2d"]: + if "2d" in self.factory_type: receiver_entity = extract_dcip_survey( self.params.geoh5, receiver_entity, @@ -330,6 +313,7 @@ def _dcip_arguments(self, data=None, local_index=None): locations=receiver_locations, local_index=receiver_entity.cells[receiver_indices], ) + if receivers.nD == 0: continue @@ -346,11 +330,14 @@ def _dcip_arguments(self, data=None, local_index=None): self.local_index = np.hstack(self.local_index) + if "2d" in self.factory_type: + current_entity = receiver_entity.current_electrodes + self.params.geoh5.remove_entity(receiver_entity) + self.params.geoh5.remove_entity(current_entity) + return [sources] - def _naturalsource_arguments( - self, data=None, mesh=None, active_cells=None, frequency=None - ): + def _naturalsource_arguments(self, data=None, mesh=None, frequency=None): receivers = [] sources = [] @@ -361,7 +348,6 @@ def _naturalsource_arguments( local_index=self.local_index, data={k: v}, mesh=mesh, - active_cells=active_cells, ) ) diff --git a/geoapps/inversion/components/meshes.py b/geoapps/inversion/components/meshes.py index 2c60470a0..2e0edd3c9 100644 --- a/geoapps/inversion/components/meshes.py +++ b/geoapps/inversion/components/meshes.py @@ -17,11 +17,12 @@ from geoapps.utils.models import get_drape_model if TYPE_CHECKING: - from discretize import TreeMesh from geoh5py.workspace import Workspace from . import InversionData, InversionTopography +from discretize import TensorMesh, TreeMesh + class InversionMesh: """ @@ -57,7 +58,7 @@ def __init__( self.params = params self.inversion_data = inversion_data self.inversion_topography = inversion_topography - self.mesh: TreeMesh = None + self.mesh: TreeMesh | TensorMesh = None self.n_cells: int = None self.rotation: dict[str, float] = None self.permutation: np.ndarray = None @@ -97,7 +98,7 @@ def _initialize(self) -> None: self.mesh = octree_2_treemesh(self.entity) self.permutation = getattr(self.mesh, "_ubc_order") - if isinstance(self.entity, DrapeModel): + if isinstance(self.entity, DrapeModel) and self.mesh is None: self.mesh, self.permutation = drape_2_tensor( self.entity, return_sorting=True ) @@ -105,6 +106,9 @@ def _initialize(self) -> None: def build_from_params(self) -> Octree: """Runs geoapps.create.OctreeMesh to create mesh from params.""" if "2d" in self.params.inversion_type: + + self.params.geoh5.get_entity("") + ( # pylint: disable=W0632 self.entity, self.mesh, @@ -112,7 +116,7 @@ def build_from_params(self) -> Octree: ) = get_drape_model( self.workspace, "Models", - self.inversion_data._survey.unique_locations, # pylint: disable=W0212 + self.inversion_data.survey.unique_locations, # pylint: disable=W0212 [self.params.u_cell_size, self.params.v_cell_size], self.params.depth_core, [self.params.horizontal_padding] * 2 diff --git a/geoapps/inversion/components/models.py b/geoapps/inversion/components/models.py index 023e40335..771df5849 100644 --- a/geoapps/inversion/components/models.py +++ b/geoapps/inversion/components/models.py @@ -9,7 +9,6 @@ import numpy as np from geoh5py.data import Data -from geoh5py.objects import DrapeModel from geoh5py.workspace import Workspace from SimPEG.utils.mat_utils import ( cartesian2amplitude_dip_azimuth, @@ -119,7 +118,7 @@ def _initialize(self): self.is_sigma = ( True if self.params.inversion_type - in ["direct current", "direct current 2d", "magnetotellurics", "tipper"] + in ["direct current 3d", "direct current 2d", "magnetotellurics", "tipper"] else False ) self.is_vector = ( @@ -409,7 +408,7 @@ def _obj_2_mesh(self, obj, parent): """ - xyz_out = self.mesh.mesh.cell_centers + xyz_out = self.mesh.entity.centroids if hasattr(parent, "centroids"): xyz_in = parent.centroids @@ -421,10 +420,9 @@ def _obj_2_mesh(self, obj, parent): else: xyz_in = parent.vertices - if (xyz_out.shape[1]) == 2 and isinstance(parent, DrapeModel): - return obj[np.argsort(self.mesh.permutation)] - else: - return weighted_average(xyz_in, xyz_out, [obj], n=1)[0] + full_vector = weighted_average(xyz_in, xyz_out, [obj], n=1)[0] + + return full_vector[np.argsort(self.mesh.permutation)] @property def model_type(self): diff --git a/geoapps/inversion/components/topography.py b/geoapps/inversion/components/topography.py index 13b8a69da..8d818f5da 100644 --- a/geoapps/inversion/components/topography.py +++ b/geoapps/inversion/components/topography.py @@ -11,24 +11,22 @@ if TYPE_CHECKING: from geoh5py.workspace import Workspace - from geoapps.drivers import BaseParams + from geoapps.driver_base.params import BaseParams from . import InversionMesh from typing import Any +import warnings from copy import deepcopy import numpy as np -from geoh5py.objects import Curve from geoh5py.shared import Entity from geoapps.driver_base.utils import active_from_xyz -from geoapps.inversion.natural_sources.magnetotellurics.params import ( - MagnetotelluricsParams, -) +from geoapps.inversion.components.data import InversionData +from geoapps.inversion.components.locations import InversionLocations from geoapps.shared_utils.utils import filter_xy - -from .data import InversionData -from .locations import InversionLocations +from geoapps.utils.models import floating_active +from geoapps.utils.surveys import get_containing_cells class InversionTopography(InversionLocations): @@ -89,8 +87,6 @@ def _initialize(self): if self.is_rotated: self.locations = super().rotate(self.locations) - self.entity = self.write_entity() - def active_cells(self, mesh: InversionMesh, data: InversionData) -> np.ndarray: """ Return mask that restricts models to set of earth cells. @@ -99,29 +95,35 @@ def active_cells(self, mesh: InversionMesh, data: InversionData) -> np.ndarray: :return: active_cells: Mask that restricts a model to the set of earth cells that are active in the inversion (beneath topography). """ - if isinstance(self.params, MagnetotelluricsParams): + forced_to_surface = [ + "magnetotellurics", + "direct current 3d", + "direct current 2d", + "induced polarization 3d", + "induced polarization 2d", + ] + if self.params.inversion_type in forced_to_surface: active_cells = active_from_xyz( - mesh.mesh, self.locations, grid_reference="bottom_nodes", logical="any" + mesh.entity, self.locations, grid_reference="bottom" + ) + active_cells = active_cells[np.argsort(mesh.permutation)] + print( + "Adjusting active cells so that receivers are all within an active cell . . ." ) - active_cells[ - mesh.mesh._get_containing_cell_indexes( # pylint: disable=protected-access - data.locations + active_cells[get_containing_cells(mesh.mesh, data)] = True + + if floating_active(mesh.mesh, active_cells): + warnings.warn( + "Active cell adjustment has created a patch of active cells in the air, likely due to a faulty survey location." ) - ] = True + else: - mesh_object = ( - mesh.entity if "2d" in self.params.inversion_type else mesh.mesh - ) active_cells = active_from_xyz( - mesh_object, self.locations, grid_reference="cell_centers" + mesh.entity, self.locations, grid_reference="center" ) - - if "2d" in self.params.inversion_type: - ac_model = active_cells.astype("float64") active_cells = active_cells[np.argsort(mesh.permutation)] - else: - ac_model = active_cells[mesh.permutation].astype("float64") + ac_model = active_cells[mesh.permutation].astype("float64") mesh.entity.add_data({"active_cells": {"values": ac_model}}) return active_cells @@ -151,14 +153,3 @@ def get_locations(self, obj: Entity) -> np.ndarray: locs[:, 2] = elev return locs - - def write_entity(self): - """Write out the survey to geoh5""" - - if "2d" in self.params.inversion_type: - locs = self.inversion_data._survey.unique_locations # pylint: disable=W0212 - entity = super().create_entity("Topo", locs, Curve) - else: - entity = super().create_entity("Topo", self.locations) - - return entity diff --git a/geoapps/inversion/constants.py b/geoapps/inversion/constants.py index 79c561148..6dc0b00cc 100644 --- a/geoapps/inversion/constants.py +++ b/geoapps/inversion/constants.py @@ -33,12 +33,11 @@ "main": True, "optional": True, "enabled": False, - "isValue": False, - "label": "Elevation adjustment", - "tooltip": "Adjust elevation given from topography object", + "label": "Elevation channel", + "tooltip": "Set elevation from channel", "parent": "topography_object", - "property": None, - "value": 0.0, + "value": "", + "verbose": 2, }, "data_object": { "main": True, @@ -74,6 +73,7 @@ "value": 1, "min": 1, "max": 1000, + "verbose": 2, }, "output_tile_files": False, "z_from_topo": { @@ -81,6 +81,7 @@ "label": "Take z from topography", "tooltip": "Sets survey elevation to topography before any offsets are applied.", "value": False, + "verbose": 3, }, "receivers_offset_x": { "group": "Data pre-processing", @@ -89,6 +90,7 @@ "enabled": False, "value": 0.0, "visible": False, + "verbose": 3, }, "receivers_offset_y": { "group": "Data pre-processing", @@ -97,6 +99,7 @@ "enabled": False, "value": 0.0, "visible": False, + "verbose": 3, }, "receivers_offset_z": { "group": "Data pre-processing", @@ -104,6 +107,7 @@ "optional": True, "enabled": False, "value": 0.0, + "verbose": 3, }, "receivers_radar_drape": { "association": ["Cell", "Vertex"], @@ -115,6 +119,7 @@ "parent": "data_object", "value": None, "enabled": False, + "verbose": 3, }, "gps_receivers_offset": None, "ignore_values": { @@ -123,6 +128,7 @@ "enabled": False, "label": "Values to ignore", "value": None, + "verbose": 3, }, "resolution": { "min": 0.0, @@ -131,6 +137,7 @@ "enabled": False, "label": "Downsampling resolution", "value": 0.0, + "verbose": 3, }, "detrend_order": { "min": 0, @@ -140,6 +147,7 @@ "label": "Detrend order", "optional": True, "value": 0, + "verbose": 3, }, "detrend_type": { "choiceList": ["all", "perimeter"], @@ -150,6 +158,7 @@ "optional": True, "label": "Detrend type", "value": "all", + "verbose": 3, }, "mesh": { "group": "Mesh and Models", @@ -213,7 +222,7 @@ "enabled": True, "dependency": "mesh", "dependencyType": "disabled", - "label": "Depth of core refinement volume", + "label": "Depth of core (m)", "value": 500.0, }, "max_distance": { @@ -233,7 +242,7 @@ "enabled": True, "dependency": "mesh", "dependencyType": "disabled", - "label": "Horizontal padding", + "label": "Horizontal padding (m)", "value": 1000.0, }, "vertical_padding": { @@ -243,7 +252,7 @@ "enabled": True, "dependency": "mesh", "dependencyType": "disabled", - "label": "Vertical padding", + "label": "Vertical padding (m)", "value": 1000.0, }, "window_center_x": { @@ -252,12 +261,14 @@ "groupOptional": True, "label": "Window center easting", "value": 0.0, + "verbose": 3, }, "window_center_y": { "group": "Data window", "enabled": False, "label": "Window center northing", "value": 0.0, + "verbose": 3, }, "window_width": { "min": 0.0, @@ -265,6 +276,7 @@ "enabled": False, "label": "Window width", "value": 0.0, + "verbose": 3, }, "window_height": { "min": 0.0, @@ -272,6 +284,7 @@ "enabled": False, "label": "Window height", "value": 0.0, + "verbose": 3, }, "window_azimuth": { "min": -180, @@ -280,11 +293,14 @@ "enabled": False, "label": "Window azimuth", "value": 0.0, + "verbose": 3, }, "inversion_style": "voxel", "chi_factor": { - "min": 0.0, - "max": 1.0, + "min": 0.1, + "max": 20.0, + "precision": 1, + "lineEdit": False, "group": "Optimization", "label": "Chi factor", "value": 1.0, @@ -299,24 +315,28 @@ "min": 0.0, "precision": 1, "lineEdit": False, + "verbose": 2, }, "every_iteration_bool": { "group": "Update sensitivity weights directive", "tooltip": "Update weights at every iteration", "label": "Every iteration", "value": False, + "verbose": 2, }, "f_min_change": { "group": "Update IRLS directive", "label": "f min change", "value": 1e-4, "min": 1e-6, + "verbose": 3, }, "beta_tol": { "group": "Update IRLS directive", "label": "Beta tolerance", "value": 0.5, "min": 0.0001, + "verbose": 3, }, "prctile": { "group": "Update IRLS directive", @@ -324,21 +344,25 @@ "value": 95, "max": 100, "min": 5, + "verbose": 3, }, "coolEps_q": { "group": "Update IRLS directive", "label": "Cool epsilon q", "value": True, + "verbose": 3, }, "coolEpsFact": { "group": "Update IRLS directive", "label": "Cool epsilon fact", "value": 1.2, + "verbose": 3, }, "beta_search": { "group": "Update IRLS directive", "label": "Perform beta search", "value": False, + "verbose": 3, }, "starting_chi_factor": { "group": "Update IRLS directive", @@ -348,6 +372,7 @@ "value": 1.0, "tooltip": "This chi factor will be used to determine the misfit" " threshold after which IRLS iterations begin.", + "verbose": 3, }, "max_global_iterations": { "min": 1, @@ -365,19 +390,28 @@ "tooltip": "Incomplete Re-weighted Least Squares iterations for non-L2 problems", "value": 25, "enabled": True, + "verbose": 2, }, "coolingRate": { "group": "Optimization", "label": "Iterations per beta", - "value": 1, + "value": 2, "min": 1, + "LineEdit": False, + "max": 10, + "precision": 1, + "verbose": 2, }, "coolingFactor": { "group": "Optimization", "label": "Beta cooling factor", "tooltip": "Each beta cooling step will be calculated by dividing the current beta by this factor.", "value": 2.0, - "min": 1.0, + "min": 1.1, + "max": 100, + "precision": 1, + "lineEdit": False, + "verbose": 2, }, "max_line_search_iterations": { "group": "Optimization", @@ -385,6 +419,7 @@ "value": 20, "min": 1, "enabled": True, + "verbose": 3, }, "max_cg_iterations": { "min": 0, @@ -392,6 +427,7 @@ "label": "Maximum CG iterations", "value": 30, "enabled": True, + "verbose": 2, }, "initial_beta_ratio": { "min": 0.0, @@ -401,6 +437,7 @@ "enabled": True, "label": "Initial beta ratio", "value": 100.0, + "verbose": 2, }, "initial_beta": { "min": 0.0, @@ -410,6 +447,7 @@ "dependencyType": "disabled", "label": "Initial beta", "value": 1.0, + "verbose": 2, }, "tol_cg": { "min": 0, @@ -417,6 +455,7 @@ "label": "Conjugate gradient tolerance", "value": 1e-4, "enabled": True, + "verbose": 3, }, "alpha_s": { "min": 0.0, @@ -506,6 +545,7 @@ "group": "Regularization", "label": "Gradient type", "value": "total", + "verbose": 3, }, "lower_bound": { "association": ["Cell", "Vertex"], @@ -545,14 +585,15 @@ "dependencyType": "enabled", "optional": True, "enabled": False, - "label": "Number of cpu", + "label": "Number of CPUs", "value": 1, }, "store_sensitivities": { "choiceList": ["disk", "ram"], "group": "Compute", "label": "Storage device", - "value": "disk", + "tooltip": "Use disk on a fast local SSD, and RAM elsewhere", + "value": "ram", }, "max_chunk_size": { "min": 0, @@ -561,23 +602,25 @@ "enabled": True, "label": "Maximum chunk size", "value": 128, + "verbose": 3, }, "chunk_by_rows": { "group": "Compute", "label": "Chunk by rows", "value": True, + "verbose": 3, + }, + "generate_sweep": { + "label": "Generate sweep file", + "group": "Python run preferences", + "main": True, + "value": False, }, "max_ram": None, "monitoring_directory": None, "workspace_geoh5": None, "geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": { - "value": False, - "label": "Run python module ", - "tooltip": "Warning: launches process to run python model on save", - "main": True, - }, "conda_environment": "geoapps", "distributed_workers": None, } @@ -596,5 +639,5 @@ "norm_x": {"types": [int, float]}, "norm_y": {"types": [int, float]}, "norm_z": {"types": [int, float]}, - "distributed_workers": {"types": [tuple, type(None)]}, + "distributed_workers": {"types": [list, type(None)]}, } diff --git a/geoapps/inversion/driver.py b/geoapps/inversion/driver.py index 42bc49197..03b0449c4 100644 --- a/geoapps/inversion/driver.py +++ b/geoapps/inversion/driver.py @@ -26,6 +26,7 @@ from SimPEG import inverse_problem, inversion, maps, optimization, regularization from SimPEG.utils import tile_locations +from geoapps.driver_base.driver import BaseDriver from geoapps.inversion.components import ( InversionData, InversionMesh, @@ -37,8 +38,14 @@ from geoapps.inversion.params import InversionBaseParams -class InversionDriver: +class InversionDriver(BaseDriver): + + _params_class = InversionBaseParams # pylint: disable=E0601 + _validations = None + def __init__(self, params: InversionBaseParams, warmstart=True): + super().__init__(params) + self.params = params self.warmstart = warmstart self.workspace = params.geoh5 @@ -127,22 +134,19 @@ def initialize(self): self.inversion_mesh.entity.get_data("active_cells")[0].values.astype(bool) ) self.models.remove_air(self.active_cells) - self.active_cells_map = maps.InjectActiveCells( - self.mesh, self.active_cells, np.nan - ) self.n_cells = int(np.sum(self.active_cells)) self.is_vector = self.models.is_vector self.n_blocks = 3 if self.is_vector else 1 self.is_rotated = False if self.inversion_mesh.rotation is None else True # Create SimPEG Survey object - self.survey = self.inversion_data._survey # pylint: disable=protected-access + self.survey = self.inversion_data.survey # Tile locations self.tiles = self.get_tiles() # [np.arange(len(self.survey.source_list))]# self.n_tiles = len(self.tiles) - print(f"Setting up {self.n_tiles} tile(s) ...") + print(f"Setting up {self.n_tiles} tile(s) . . .") # Build tiled misfits and combine to form global misfit self.global_misfit, self.sorting = MisfitFactory( @@ -174,7 +178,7 @@ def initialize(self): ) if self.warmstart and not self.params.forward_only: - print("Pre-computing sensitivities ...") + print("Pre-computing sensitivities . . .") self.inverse_problem.dpred = self.inversion_data.simulate( # pylint: disable=assignment-from-no-return self.starting_model, self.inverse_problem, self.sorting ) @@ -304,8 +308,8 @@ def get_regularization(self): def get_tiles(self): if self.params.inversion_type in [ - "direct current", - "induced polarization", + "direct current 3d", + "induced polarization 3d", ]: tiles = [] potential_electrodes = self.inversion_data.entity @@ -398,96 +402,18 @@ def get_path(self, file): return os.path.join(root_directory, file) -def start_inversion(filepath=None, **kwargs) -> InversionDriver: - """Starts inversion with parameters defined in input file.""" - - if filepath is not None: - input_file = InputFile.read_ui_json(filepath) - inversion_type = input_file.data.get("inversion_type") - else: - input_file = None - inversion_type = kwargs.get("inversion_type") - - if inversion_type == "magnetic vector": - from geoapps.inversion.potential_fields import ( - MagneticVectorParams as ParamClass, - ) - from geoapps.inversion.potential_fields.magnetic_vector.constants import ( - validations, - ) - - elif inversion_type == "magnetic scalar": - from geoapps.inversion.potential_fields import ( - MagneticScalarParams as ParamClass, - ) - from geoapps.inversion.potential_fields.magnetic_scalar.constants import ( - validations, - ) - - elif inversion_type == "gravity": - from geoapps.inversion.potential_fields import GravityParams as ParamClass - from geoapps.inversion.potential_fields.gravity.constants import validations - - elif inversion_type == "magnetotellurics": - from geoapps.inversion.natural_sources import ( - MagnetotelluricsParams as ParamClass, - ) - from geoapps.inversion.natural_sources.magnetotellurics.constants import ( - validations, - ) - - elif inversion_type == "tipper": - from geoapps.inversion.natural_sources import TipperParams as ParamClass - from geoapps.inversion.natural_sources.tipper.constants import validations - - elif inversion_type == "direct current": - from geoapps.inversion.electricals.direct_current.three_dimensions.constants import ( - validations, - ) - from geoapps.inversion.electricals.direct_current.three_dimensions.params import ( - DirectCurrent3DParams as ParamClass, - ) - elif inversion_type == "direct current 2d": - from geoapps.inversion.electricals.direct_current.two_dimensions.constants import ( - validations, - ) - from geoapps.inversion.electricals.direct_current.two_dimensions.params import ( - DirectCurrent2DParams as ParamClass, - ) - - elif inversion_type == "induced polarization": - from geoapps.inversion.electricals import ( - InducedPolarization3DParams as ParamClass, - ) - from geoapps.inversion.electricals.induced_polarization.three_dimensions import ( - InducedPolarization3DParams as ParamClass, - ) - from geoapps.inversion.electricals.induced_polarization.three_dimensions.constants import ( - validations, - ) - - elif inversion_type == "induced polarization 2d": - from geoapps.inversion.electricals.induced_polarization.two_dimensions import ( - InducedPolarization2DParams as ParamClass, - ) - from geoapps.inversion.electricals.induced_polarization.two_dimensions.constants import ( - validations, - ) - - else: - raise UserWarning("A supported 'inversion_type' must be provided.") - - input_file = InputFile.read_ui_json(filepath, validations=validations) - params = ParamClass(input_file=input_file, **kwargs) - - driver = InversionDriver(params) - - with params.geoh5.open(mode="r+"): - driver.run() +if __name__ == "__main__": - return driver + from . import DRIVER_MAP + filepath = sys.argv[1] + ifile = InputFile.read_ui_json(filepath) + inversion_type = ifile.data["inversion_type"] + inversion_driver = DRIVER_MAP.get(inversion_type, None) + if inversion_driver is None: + msg = f"Inversion type {inversion_type} is not supported." + msg += f" Valid inversions are: {*list(DRIVER_MAP),}." + raise NotImplementedError(msg) -if __name__ == "__main__": - start_inversion(sys.argv[1]) + inversion_driver.start(filepath) sys.stdout.close() diff --git a/geoapps/inversion/electricals/__init__.py b/geoapps/inversion/electricals/__init__.py index b97b45c78..e84e45703 100644 --- a/geoapps/inversion/electricals/__init__.py +++ b/geoapps/inversion/electricals/__init__.py @@ -7,8 +7,5 @@ from __future__ import annotations -from geoapps.inversion.electricals.induced_polarization.three_dimensions.params import ( - InducedPolarization3DParams, -) - from .direct_current.three_dimensions import DirectCurrent3DParams +from .induced_polarization.three_dimensions.params import InducedPolarization3DParams diff --git a/geoapps/inversion/electricals/application.py b/geoapps/inversion/electricals/application.py index 73ae39e3b..9bb31272d 100644 --- a/geoapps/inversion/electricals/application.py +++ b/geoapps/inversion/electricals/application.py @@ -62,24 +62,24 @@ def inversion_defaults(): """ return { "units": { - "direct current": "S/m", - "induced polarization": "V/V", + "direct current 3d": "S/m", + "induced polarization 3d": "V/V", }, "property": { - "direct current": "conductivity", - "induced polarization": "chargeability", + "direct current 3d": "conductivity", + "induced polarization 3d": "chargeability", }, "reference_value": { - "direct current": 1e-1, - "induced polarization": 0.0, + "direct current 3d": 1e-1, + "induced polarization 3d": 0.0, }, "starting_value": { - "direct current": 1e-1, - "induced polarization": 1e-4, + "direct current 3d": 1e-1, + "induced polarization 3d": 1e-4, }, "component": { - "direct current": "potential", - "induced polarization": "chargeability", + "direct current 3d": "potential", + "induced polarization 3d": "chargeability", }, } @@ -120,7 +120,7 @@ def __init__(self, ui_json=None, **kwargs): description="Forward only", ) self._inversion_type = Dropdown( - options=["direct current", "induced polarization"], + options=["direct current 3d", "induced polarization 3d"], description="inversion Type:", ) self._write = Button( @@ -760,19 +760,19 @@ def inversion_type_observer(self, _): Change the application on change of system """ params = self.params.to_dict(ui_json_format=False) - if self.inversion_type.value == "direct current" and not isinstance( + if self.inversion_type.value == "direct current 3d" and not isinstance( self.params, DirectCurrent3DParams ): self._param_class = DirectCurrent3DParams - params["inversion_type"] = "direct current" + params["inversion_type"] = "direct current 3d" params["out_group"] = "DCInversion" self.option_choices.options = list(self.inversion_options)[1:] - elif self.inversion_type.value == "induced polarization" and not isinstance( + elif self.inversion_type.value == "induced polarization 3d" and not isinstance( self.params, InducedPolarization3DParams ): self._param_class = InducedPolarization3DParams - params["inversion_type"] = "induced polarization" + params["inversion_type"] = "induced polarization 3d" params["out_group"] = "ChargeabilityInversion" self.option_choices.options = list(self.inversion_options) @@ -780,7 +780,7 @@ def inversion_type_observer(self, _): # validator_opts={"ignore_requirements": True} ) - if self.inversion_type.value in ["direct current"]: + if self.inversion_type.value in ["direct current 3d"]: data_type_list = ["potential"] else: data_type_list = ["chargeability"] @@ -940,7 +940,7 @@ def value_setter(self, key, value): self._run_params = None self.trigger.button_style = "danger" - if self.inversion_type.value == "direct current": + if self.inversion_type.value == "direct current 3d": self._lower_bound_group.options.value = "Constant" self._lower_bound_group.constant.value = 1e-5 else: @@ -994,7 +994,7 @@ def data_channel_choices_observer(self, _): def write_trigger(self, _): if ( - "induced polarization" in self.inversion_type.value + "induced polarization 3d" in self.inversion_type.value and self._conductivity_model_group.data.value is None ): print( @@ -1128,7 +1128,7 @@ def run(params): if not isinstance(params, (DirectCurrent3DParams, InducedPolarization3DParams)): raise ValueError( "Parameter 'inversion_type' must be one of " - "'direct current' or 'induced polarization'" + "'direct current 3d' or 'induced polarization 3d'" ) os.system( @@ -1153,10 +1153,10 @@ def file_browser_change(self, _): with open(self.file_browser.selected, encoding="utf8") as f: data = json.load(f) - if data["inversion_type"] == "direct current": + if data["inversion_type"] == "direct current 3d": self._param_class = DirectCurrent3DParams - elif data["inversion_type"] == "induced polarization": + elif data["inversion_type"] == "induced polarization 3d": self._param_class = InducedPolarization3DParams self.params = getattr(self, "_param_class")( diff --git a/geoapps/inversion/electricals/direct_current/three_dimensions/__init__.py b/geoapps/inversion/electricals/direct_current/three_dimensions/__init__.py index 2b8e9b5a2..5d3175056 100644 --- a/geoapps/inversion/electricals/direct_current/three_dimensions/__init__.py +++ b/geoapps/inversion/electricals/direct_current/three_dimensions/__init__.py @@ -5,6 +5,4 @@ # geoapps is distributed under the terms and conditions of the MIT License # (see LICENSE file at the root of this source code package). -from __future__ import annotations - from .params import DirectCurrent3DParams diff --git a/geoapps/inversion/electricals/direct_current/three_dimensions/constants.py b/geoapps/inversion/electricals/direct_current/three_dimensions/constants.py index cac4281e4..d65b62dfb 100644 --- a/geoapps/inversion/electricals/direct_current/three_dimensions/constants.py +++ b/geoapps/inversion/electricals/direct_current/three_dimensions/constants.py @@ -11,21 +11,21 @@ from geoh5py.objects.surveys.direct_current import PotentialElectrode -from geoapps.inversion import default_ui_json as base_default_ui_json +from geoapps.inversion.constants import default_ui_json as base_default_ui_json from geoapps.inversion.constants import validations as base_validations inversion_defaults = { - "title": "Direct Current (DC) inversion", + "title": "Direct Current 3d inversion", "documentation": "https://geoapps.readthedocs.io/en/stable/content/applications/dcip_inversion.html", "icon": "PotentialElectrode", - "inversion_type": "direct current", + "inversion_type": "direct current 3d", "geoh5": None, # Must remain at top of list for notebook app initialization "forward_only": False, "topography_object": None, "topography": None, "data_object": None, "resolution": None, - "z_from_topo": False, + "z_from_topo": True, "receivers_offset_x": None, "receivers_offset_y": None, "receivers_offset_z": None, @@ -79,31 +79,31 @@ "parallelized": True, "n_cpu": None, "tile_spatial": 1, - "store_sensitivities": "disk", + "store_sensitivities": "ram", "max_ram": None, "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "DirectCurrentInversion", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "potential_channel_bool": True, } forward_defaults = { - "title": "SimPEG Direct Current Forward", + "title": "Direct Current 3d forward", "documentation": "https://geoapps.readthedocs.io/en/stable/content/applications/dcip_inversion.html", "icon": "PotentialElectrode", - "inversion_type": "direct current", + "inversion_type": "direct current 3d", "geoh5": None, # Must remain at top of list for notebook app initialization "forward_only": True, "topography_object": None, "topography": None, "data_object": None, "resolution": None, - "z_from_topo": False, + "z_from_topo": True, "receivers_offset_x": None, "receivers_offset_y": None, "receivers_offset_z": None, @@ -124,10 +124,10 @@ "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "DirectCurrentForward", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "gradient_type": "total", @@ -146,6 +146,17 @@ } forward_ui_json = { + "starting_model": { + "association": ["Cell", "Vertex"], + "dataType": "Float", + "group": "Mesh and Models`", + "main": True, + "isValue": False, + "parent": "mesh", + "label": "Conductivity (S/m)", + "property": None, + "value": 0.0, + }, "gradient_type": "total", "alpha_s": 1.0, "alpha_x": 1.0, @@ -161,7 +172,7 @@ "title": "SimPEG Direct Current inversion", "documentation": "https://geoapps.readthedocs.io/en/stable/content/applications/dcip_inversion.html", "icon": "PotentialElectrode", - "inversion_type": "direct current", + "inversion_type": "direct current 3d", "data_object": { "main": True, "group": "Data", @@ -169,6 +180,13 @@ "meshType": "{275ecee9-9c24-4378-bf94-65f3c5fbe163}", "value": None, }, + "z_from_topo": { + "group": "Data", + "main": True, + "label": "Surface survey", + "tooltip": "Uncheck if borehole data is present", + "value": True, + }, "potential_channel_bool": True, "potential_channel": { "association": ["Cell", "Vertex"], @@ -197,9 +215,9 @@ "main": True, "isValue": False, "parent": "mesh", - "label": "Initial Conductivity (S/m)", + "label": "Initial conductivity (S/m)", "property": None, - "value": 0.0, + "value": 1e-1, }, "reference_model": { "association": ["Cell", "Vertex"], @@ -208,7 +226,7 @@ "group": "Mesh and Models", "isValue": True, "parent": "mesh", - "label": "Reference Conductivity (S/m)", + "label": "Reference conductivity (S/m)", "property": None, "value": 0.0, }, @@ -238,6 +256,26 @@ "value": 100.0, "enabled": False, }, + "receivers_offset_z": { + "group": "Data pre-processing", + "label": "Z static offset", + "optional": True, + "enabled": False, + "value": 0.0, + "visible": False, + }, + "receivers_radar_drape": { + "association": ["Cell", "Vertex"], + "dataType": "Float", + "group": "Data pre-processing", + "label": "Z radar offset", + "tooltip": "Apply a non-homogeneous offset to survey object from radar channel.", + "optional": True, + "parent": "data_object", + "value": None, + "enabled": False, + "visible": False, + }, "resolution": None, "detrend_order": None, "detrend_type": None, @@ -252,7 +290,7 @@ validations = { "inversion_type": { "required": True, - "values": ["direct current"], + "values": ["direct current 3d"], }, "data_object": {"required": True, "types": [UUID, PotentialElectrode]}, } diff --git a/geoapps/inversion/electricals/direct_current/three_dimensions/driver.py b/geoapps/inversion/electricals/direct_current/three_dimensions/driver.py new file mode 100644 index 000000000..7b0d2321e --- /dev/null +++ b/geoapps/inversion/electricals/direct_current/three_dimensions/driver.py @@ -0,0 +1,20 @@ +# Copyright (c) 2022 Mira Geoscience Ltd. +# +# This file is part of geoapps. +# +# geoapps is distributed under the terms and conditions of the MIT License +# (see LICENSE file at the root of this source code package). + +from geoapps.inversion.driver import InversionDriver + +from .constants import validations +from .params import DirectCurrent3DParams + + +class DirectCurrent3DDriver(InversionDriver): + + _params_class = DirectCurrent3DParams + _validations = validations + + def __init__(self, params: DirectCurrent3DParams, warmstart=True): + super().__init__(params, warmstart) diff --git a/geoapps/inversion/electricals/direct_current/three_dimensions/params.py b/geoapps/inversion/electricals/direct_current/three_dimensions/params.py index 8495cf7cb..1d8ab8a73 100644 --- a/geoapps/inversion/electricals/direct_current/three_dimensions/params.py +++ b/geoapps/inversion/electricals/direct_current/three_dimensions/params.py @@ -40,7 +40,7 @@ def __init__(self, input_file=None, forward_only=False, **kwargs): self._forward_ui_json = deepcopy(forward_ui_json) self._inversion_defaults = deepcopy(inversion_defaults) self._inversion_ui_json = deepcopy(inversion_ui_json) - self._inversion_type = "direct current" + self._inversion_type = "direct current 3d" self._validations = validations self._potential_channel_bool = None self._potential_channel = None diff --git a/geoapps/inversion/electricals/direct_current/two_dimensions/__init__.py b/geoapps/inversion/electricals/direct_current/two_dimensions/__init__.py index 85ffb9e04..9183eb2ce 100644 --- a/geoapps/inversion/electricals/direct_current/two_dimensions/__init__.py +++ b/geoapps/inversion/electricals/direct_current/two_dimensions/__init__.py @@ -5,6 +5,4 @@ # geoapps is distributed under the terms and conditions of the MIT License # (see LICENSE file at the root of this source code package). -from __future__ import annotations - from .params import DirectCurrent2DParams diff --git a/geoapps/inversion/electricals/direct_current/two_dimensions/constants.py b/geoapps/inversion/electricals/direct_current/two_dimensions/constants.py index 2c393d94d..6e5490eae 100644 --- a/geoapps/inversion/electricals/direct_current/two_dimensions/constants.py +++ b/geoapps/inversion/electricals/direct_current/two_dimensions/constants.py @@ -15,17 +15,18 @@ from geoapps.inversion.constants import validations as base_validations inversion_defaults = { - "title": "SimPEG Direct Current inversion", + "title": "Direct Current 2d inversion", + "icon": "PotentialElectrode", "inversion_type": "direct current 2d", "geoh5": None, # Must remain at top of list for notebook app initialization "forward_only": False, "topography_object": None, "topography": None, "data_object": None, + "z_from_topo": True, "line_object": None, "line_id": 1, "resolution": None, - "z_from_topo": False, "receivers_radar_drape": None, "receivers_offset_x": None, "receivers_offset_y": None, @@ -90,26 +91,27 @@ "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "DirectCurrentInversion", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "potential_channel_bool": True, } forward_defaults = { - "title": "SimPEG Direct Current Forward", + "title": "Direct Current 2d forward", + "icon": "PotentialElectrode", "inversion_type": "direct current 2d", "geoh5": None, # Must remain at top of list for notebook app initialization "forward_only": True, "topography_object": None, "topography": None, "data_object": None, + "z_from_topo": True, "line_object": None, "line_id": 1, "resolution": None, - "z_from_topo": False, "receivers_radar_drape": None, "receivers_offset_x": None, "receivers_offset_y": None, @@ -136,10 +138,10 @@ "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "DirectCurrentForward", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "gradient_type": "total", @@ -158,6 +160,17 @@ } forward_ui_json = { + "starting_model": { + "association": "Cell", + "dataType": "Float", + "group": "Mesh and Models", + "main": True, + "isValue": False, + "parent": "mesh", + "label": "Conductivity (S/m)", + "property": None, + "value": 1e-3, + }, "gradient_type": "total", "alpha_s": 1.0, "alpha_x": 1.0, @@ -170,19 +183,20 @@ } default_ui_json = { - "title": "SimPEG Direct Current inversion", + "title": "Direct Current 2d inversion", + "icon": "PotentialElectrode", "inversion_type": "direct current 2d", "line_object": { "association": ["Cell", "Vertex"], "dataType": "Referenced", - "group": "Survey", + "group": "Data", "main": True, "label": "Line field", "parent": "data_object", "value": None, }, "line_id": { - "group": "Survey", + "group": "Data", "main": True, "min": 1, "label": "Line number", @@ -195,13 +209,21 @@ "meshType": "{275ecee9-9c24-4378-bf94-65f3c5fbe163}", "value": None, }, + "z_from_topo": { + "group": "Data", + "main": True, + "label": "Surface survey", + "tooltip": "Uncheck if borehole data is present", + "value": False, + }, "potential_channel_bool": True, "potential_channel": { "association": ["Cell", "Vertex"], "dataType": "Float", "group": "Data", "main": True, - "label": "Potential (V/I)", + "label": "DC data (V/I)", + "tooltip": "Potential: voltage normalized by current", "parent": "data_object", "value": None, }, @@ -225,6 +247,26 @@ "meshType": "{C94968EA-CF7D-11EB-B8BC-0242AC130003}", "value": None, }, + "u_cell_size": { + "min": 0.0, + "group": "Mesh and Models", + "main": True, + "enabled": True, + "dependency": "mesh", + "dependencyType": "disabled", + "label": "Horizontal cell size (m)", + "value": 25.0, + }, + "v_cell_size": { + "min": 0.0, + "group": "Mesh and Models", + "main": True, + "enabled": True, + "dependency": "mesh", + "dependencyType": "disabled", + "label": "Vertical cell size (m)", + "value": 25.0, + }, "starting_model": { "association": "Cell", "dataType": "Float", @@ -232,7 +274,7 @@ "main": True, "isValue": False, "parent": "mesh", - "label": "Initial Conductivity (S/m)", + "label": "Initial conductivity (S/m)", "property": None, "value": 1e-3, }, @@ -243,7 +285,7 @@ "group": "Mesh and Models", "isValue": True, "parent": "mesh", - "label": "Reference Conductivity (S/m)", + "label": "Reference conductivity (S/m)", "property": None, "value": 1e-3, }, @@ -280,6 +322,86 @@ "dependency": "mesh", "dependencyType": "disabled", "value": 1.1, + "min": 1.0, + "max": 2.0, + "precision": 1, + "lineEdit": False, + }, + "receivers_offset_x": { + "group": "Data pre-processing", + "label": "Receiver X offset (m)", + "optional": True, + "enabled": False, + "value": 0.0, + "visible": False, + }, + "receivers_offset_y": { + "group": "Data pre-processing", + "label": "Receiver Y offset (m)", + "optional": True, + "enabled": False, + "value": 0.0, + "visible": False, + }, + "receivers_offset_z": { + "group": "Data pre-processing", + "label": "Z static offset", + "optional": True, + "enabled": False, + "value": 0.0, + "visible": False, + }, + "receivers_radar_drape": { + "association": ["Cell", "Vertex"], + "dataType": "Float", + "group": "Data pre-processing", + "label": "Z radar offset", + "tooltip": "Apply a non-homogeneous offset to survey object from radar channel.", + "optional": True, + "parent": "data_object", + "value": None, + "enabled": False, + "visible": False, + }, + "window_center_x": { + "group": "Data window", + "enabled": False, + "groupOptional": True, + "label": "Window center easting", + "value": 0.0, + "visible": False, + }, + "window_center_y": { + "group": "Data window", + "enabled": False, + "label": "Window center northing", + "value": 0.0, + "visible": False, + }, + "window_width": { + "min": 0.0, + "group": "Data window", + "enabled": False, + "label": "Window width", + "value": 0.0, + "visible": False, + }, + "window_height": { + "min": 0.0, + "group": "Data window", + "enabled": False, + "label": "Window height", + "value": 0.0, + "visible": False, + }, + "window_azimuth": { + "min": -180, + "max": 180, + "group": "Data window", + "enabled": False, + "label": "Window azimuth", + "value": 0.0, + "visible": False, }, "resolution": None, "detrend_order": None, @@ -331,4 +453,5 @@ "receivers_offset_x": 0.0, "receivers_offset_y": 0.0, "receivers_offset_z": 0.0, + "out_grop": "DCInversion", } diff --git a/geoapps/inversion/electricals/direct_current/two_dimensions/driver.py b/geoapps/inversion/electricals/direct_current/two_dimensions/driver.py new file mode 100644 index 000000000..a77a218ea --- /dev/null +++ b/geoapps/inversion/electricals/direct_current/two_dimensions/driver.py @@ -0,0 +1,21 @@ +# Copyright (c) 2022 Mira Geoscience Ltd. +# +# This file is part of geoapps. +# +# geoapps is distributed under the terms and conditions of the MIT License +# (see LICENSE file at the root of this source code package). + + +from geoapps.inversion.driver import InversionDriver + +from .constants import validations +from .params import DirectCurrent2DParams + + +class DirectCurrent2DDriver(InversionDriver): + + _params_class = DirectCurrent2DParams + _validations = validations + + def __init__(self, params: DirectCurrent2DParams, warmstart=True): + super().__init__(params, warmstart) diff --git a/geoapps/inversion/electricals/direct_current/two_dimensions/params.py b/geoapps/inversion/electricals/direct_current/two_dimensions/params.py index 5113d937f..64c47cc8f 100644 --- a/geoapps/inversion/electricals/direct_current/two_dimensions/params.py +++ b/geoapps/inversion/electricals/direct_current/two_dimensions/params.py @@ -40,7 +40,7 @@ def __init__(self, input_file=None, forward_only=False, **kwargs): self._forward_ui_json = deepcopy(forward_ui_json) self._inversion_defaults = deepcopy(inversion_defaults) self._inversion_ui_json = deepcopy(inversion_ui_json) - self._inversion_type = "direct current" + self._inversion_type = "direct current 2d" self._validations = validations self._potential_channel_bool = None self._potential_channel = None diff --git a/geoapps/inversion/electricals/induced_polarization/three_dimensions/__init__.py b/geoapps/inversion/electricals/induced_polarization/three_dimensions/__init__.py index 2d6591999..dc94a38a0 100644 --- a/geoapps/inversion/electricals/induced_polarization/three_dimensions/__init__.py +++ b/geoapps/inversion/electricals/induced_polarization/three_dimensions/__init__.py @@ -5,8 +5,4 @@ # geoapps is distributed under the terms and conditions of the MIT License # (see LICENSE file at the root of this source code package). -from __future__ import annotations - -from geoapps.inversion.electricals.induced_polarization.three_dimensions.params import ( - InducedPolarization3DParams, -) +from .params import InducedPolarization3DParams diff --git a/geoapps/inversion/electricals/induced_polarization/three_dimensions/constants.py b/geoapps/inversion/electricals/induced_polarization/three_dimensions/constants.py index b52bdd538..f7561b178 100644 --- a/geoapps/inversion/electricals/induced_polarization/three_dimensions/constants.py +++ b/geoapps/inversion/electricals/induced_polarization/three_dimensions/constants.py @@ -14,15 +14,17 @@ from geoapps.inversion import default_ui_json as base_default_ui_json inversion_defaults = { - "title": "SimPEG Induced Polarization inversion", - "inversion_type": "induced polarization", + "title": "SimPEG Induced Polarization 3d inversion", + "documentation": "https://geoapps.readthedocs.io/en/stable/content/applications/dcip_inversion.html", + "icon": "PotentialElectrode", + "inversion_type": "induced polarization 3d", "geoh5": None, # Must remain at top of list for notebook app initialization "forward_only": False, "topography_object": None, "topography": None, "data_object": None, "resolution": None, - "z_from_topo": False, + "z_from_topo": True, "receivers_radar_drape": None, "receivers_offset_x": None, "receivers_offset_y": None, @@ -78,29 +80,31 @@ "n_cpu": None, "tile_spatial": 1, "max_ram": None, - "store_sensitivities": "disk", + "store_sensitivities": "ram", "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "InducedPolarizationInversion", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "chargeability_channel_bool": True, } forward_defaults = { - "title": "SimPEG Induced Polarization Forward", - "inversion_type": "induced polarization", + "title": "SimPEG Induced Polarization 3d Forward", + "documentation": "https://geoapps.readthedocs.io/en/stable/content/applications/dcip_inversion.html", + "icon": "PotentialElectrode", + "inversion_type": "induced polarization 3d", "geoh5": None, # Must remain at top of list for notebook app initialization "forward_only": True, "topography_object": None, "topography": None, "data_object": None, "resolution": None, - "z_from_topo": False, + "z_from_topo": True, "receivers_radar_drape": None, "receivers_offset_x": None, "receivers_offset_y": None, @@ -122,10 +126,10 @@ "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "InducedPolarizationForward", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "gradient_type": "total", @@ -143,6 +147,17 @@ } forward_ui_json = { + "starting_model": { + "association": ["Cell", "Vertex"], + "dataType": "Float", + "group": "Mesh and Models", + "main": True, + "isValue": False, + "parent": "mesh", + "label": "Chargeability (V/V)", + "property": None, + "value": 0.0, + }, "gradient_type": "total", "alpha_s": 1.0, "alpha_x": 1.0, @@ -154,8 +169,10 @@ "z_norm": 2.0, } default_ui_json = { - "title": "SimPEG Induced Polarization inversion", - "inversion_type": "induced polarization", + "title": "SimPEG Induced Polarization 3d inversion", + "documentation": "https://geoapps.readthedocs.io/en/stable/content/applications/dcip_inversion.html", + "icon": "PotentialElectrode", + "inversion_type": "induced polarization 3d", "data_object": { "main": True, "group": "Data", @@ -163,6 +180,13 @@ "meshType": "{275ecee9-9c24-4378-bf94-65f3c5fbe163}", "value": None, }, + "z_from_topo": { + "group": "Data", + "main": True, + "label": "Surface survey", + "tooltip": "Uncheck if borehole data is present", + "value": True, + }, "chargeability_channel_bool": True, "chargeability_channel": { "association": ["Cell", "Vertex"], @@ -250,6 +274,42 @@ "label": "Results group name", "value": "InducedPolarizationInversion", }, + "receivers_offset_x": { + "group": "Data pre-processing", + "label": "Receiver X offset (m)", + "optional": True, + "enabled": False, + "value": 0.0, + "visible": False, + }, + "receivers_offset_y": { + "group": "Data pre-processing", + "label": "Receiver Y offset (m)", + "optional": True, + "enabled": False, + "value": 0.0, + "visible": False, + }, + "receivers_offset_z": { + "group": "Data pre-processing", + "label": "Z static offset", + "optional": True, + "enabled": False, + "value": 0.0, + "visible": False, + }, + "receivers_radar_drape": { + "association": ["Cell", "Vertex"], + "dataType": "Float", + "group": "Data pre-processing", + "label": "Z radar offset", + "tooltip": "Apply a non-homogeneous offset to survey object from radar channel.", + "optional": True, + "parent": "data_object", + "value": None, + "enabled": False, + "visible": False, + }, } default_ui_json = dict(base_default_ui_json, **default_ui_json) @@ -260,7 +320,7 @@ validations = { "inversion_type": { "required": True, - "values": ["induced polarization"], + "values": ["induced polarization 3d"], }, "conductivity_model": {"required": True}, "data_object": {"required": True, "types": [UUID, PotentialElectrode]}, diff --git a/geoapps/inversion/electricals/induced_polarization/three_dimensions/driver.py b/geoapps/inversion/electricals/induced_polarization/three_dimensions/driver.py new file mode 100644 index 000000000..45f73fd55 --- /dev/null +++ b/geoapps/inversion/electricals/induced_polarization/three_dimensions/driver.py @@ -0,0 +1,20 @@ +# Copyright (c) 2022 Mira Geoscience Ltd. +# +# This file is part of geoapps. +# +# geoapps is distributed under the terms and conditions of the MIT License +# (see LICENSE file at the root of this source code package). + +from geoapps.inversion.driver import InversionDriver + +from .constants import validations +from .params import InducedPolarization3DParams + + +class InducedPolarization3DDriver(InversionDriver): + + _params_class = InducedPolarization3DParams + _validations = validations + + def __init__(self, params: InducedPolarization3DParams, warmstart=True): + super().__init__(params, warmstart) diff --git a/geoapps/inversion/electricals/induced_polarization/three_dimensions/params.py b/geoapps/inversion/electricals/induced_polarization/three_dimensions/params.py index 9a1a00b8c..67e2532a0 100644 --- a/geoapps/inversion/electricals/induced_polarization/three_dimensions/params.py +++ b/geoapps/inversion/electricals/induced_polarization/three_dimensions/params.py @@ -45,7 +45,7 @@ def __init__(self, input_file=None, forward_only=False, **kwargs): self._forward_ui_json = deepcopy(forward_ui_json) self._inversion_defaults = deepcopy(inversion_defaults) self._inversion_ui_json = deepcopy(inversion_ui_json) - self._inversion_type = "induced polarization" + self._inversion_type = "induced polarization 3d" self._validations = validations self._chargeability_channel_bool = None self._chargeability_channel = None diff --git a/geoapps/inversion/electricals/induced_polarization/two_dimensions/__init__.py b/geoapps/inversion/electricals/induced_polarization/two_dimensions/__init__.py index ffd4d242d..b47c7fc75 100644 --- a/geoapps/inversion/electricals/induced_polarization/two_dimensions/__init__.py +++ b/geoapps/inversion/electricals/induced_polarization/two_dimensions/__init__.py @@ -5,6 +5,4 @@ # geoapps is distributed under the terms and conditions of the MIT License # (see LICENSE file at the root of this source code package). -from __future__ import annotations - from .params import InducedPolarization2DParams diff --git a/geoapps/inversion/electricals/induced_polarization/two_dimensions/constants.py b/geoapps/inversion/electricals/induced_polarization/two_dimensions/constants.py index cee519199..8b78dd527 100644 --- a/geoapps/inversion/electricals/induced_polarization/two_dimensions/constants.py +++ b/geoapps/inversion/electricals/induced_polarization/two_dimensions/constants.py @@ -15,17 +15,18 @@ from geoapps.inversion.constants import validations as base_validations inversion_defaults = { - "title": "SimPEG Induced Polarization inversion", + "title": "Induced Polarization (IP) 2D Inversion", + "icon": "PotentialElectrode", "inversion_type": "induced polarization 2d", "geoh5": None, # Must remain at top of list for notebook app initialization "forward_only": False, "topography_object": None, "topography": None, "data_object": None, + "z_from_topo": True, "line_object": None, "line_id": 1, "resolution": None, - "z_from_topo": False, "receivers_radar_drape": None, "receivers_offset_x": None, "receivers_offset_y": None, @@ -91,26 +92,27 @@ "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "InducedPolarizationInversion", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "chargeability_channel_bool": True, } forward_defaults = { - "title": "SimPEG Induced Polarization Forward", + "title": "Induced Polarization (IP) 2D forward", + "icon": "PotentialElectrode", "inversion_type": "induced polarization 2d", "geoh5": None, # Must remain at top of list for notebook app initialization "forward_only": True, "topography_object": None, "topography": None, "data_object": None, + "resolution": None, + "z_from_topo": True, "line_object": None, "line_id": 1, - "resolution": None, - "z_from_topo": False, "receivers_radar_drape": None, "receivers_offset_x": None, "receivers_offset_y": None, @@ -138,10 +140,10 @@ "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "InducedPolarizationForward", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "gradient_type": "total", @@ -160,6 +162,17 @@ } forward_ui_json = { + "starting_model": { + "association": "Cell", + "dataType": "Float", + "group": "Mesh and Models", + "main": True, + "isValue": False, + "parent": "mesh", + "label": "Chargeability (V/V)", + "property": None, + "value": 0.0, + }, "gradient_type": "total", "alpha_s": 1.0, "alpha_x": 1.0, @@ -172,19 +185,20 @@ } default_ui_json = { - "title": "SimPEG Induced Polarization inversion", + "title": "Induced Polarization (IP) 2D Inversion", + "icon": "PotentialElectrode", "inversion_type": "induced polarization 2d", "line_object": { "association": ["Cell", "Vertex"], "dataType": "Referenced", - "group": "Survey", + "group": "Data", "main": True, "label": "Line field", "parent": "data_object", "value": None, }, "line_id": { - "group": "Survey", + "group": "Data", "main": True, "min": 1, "label": "Line number", @@ -197,6 +211,13 @@ "meshType": "{275ecee9-9c24-4378-bf94-65f3c5fbe163}", "value": None, }, + "z_from_topo": { + "group": "Data", + "main": True, + "label": "Surface survey", + "tooltip": "Uncheck if borehole data is present", + "value": True, + }, "chargeability_channel_bool": True, "chargeability_channel": { "association": ["Cell", "Vertex"], @@ -245,7 +266,7 @@ "main": True, "isValue": False, "parent": "mesh", - "label": "Initial Chargeability (V/V)", + "label": "Initial chargeability (V/V)", "property": None, "value": 0.0, }, @@ -256,7 +277,7 @@ "group": "Mesh and Models", "isValue": True, "parent": "mesh", - "label": "Reference Chargeability (V/V)", + "label": "Reference chargeability (V/V)", "property": None, "value": 0.0, }, @@ -286,6 +307,26 @@ "value": 100.0, "enabled": False, }, + "u_cell_size": { + "min": 0.0, + "group": "Mesh and Models", + "main": True, + "enabled": True, + "dependency": "mesh", + "dependencyType": "disabled", + "label": "Horizontal cell size (m)", + "value": 25.0, + }, + "v_cell_size": { + "min": 0.0, + "group": "Mesh and Models", + "main": True, + "enabled": True, + "dependency": "mesh", + "dependencyType": "disabled", + "label": "Vertical cell size (m)", + "value": 25.0, + }, "expansion_factor": { "main": True, "group": "Mesh and Models", @@ -293,6 +334,50 @@ "dependency": "mesh", "dependencyType": "disabled", "value": 1.1, + "min": 1.0, + "max": 2.0, + "precision": 1, + "lineEdit": False, + }, + "window_center_x": { + "group": "Data window", + "enabled": False, + "groupOptional": True, + "label": "Window center easting", + "value": 0.0, + "visible": False, + }, + "window_center_y": { + "group": "Data window", + "enabled": False, + "label": "Window center northing", + "value": 0.0, + "visible": False, + }, + "window_width": { + "min": 0.0, + "group": "Data window", + "enabled": False, + "label": "Window width", + "value": 0.0, + "visible": False, + }, + "window_height": { + "min": 0.0, + "group": "Data window", + "enabled": False, + "label": "Window height", + "value": 0.0, + "visible": False, + }, + "window_azimuth": { + "min": -180, + "max": 180, + "group": "Data window", + "enabled": False, + "label": "Window azimuth", + "value": 0.0, + "visible": False, }, "resolution": None, "detrend_order": None, @@ -302,6 +387,42 @@ "label": "Results group name", "value": "InducedPolarizationInversion", }, + "receivers_offset_x": { + "group": "Data pre-processing", + "label": "Receiver X offset (m)", + "optional": True, + "enabled": False, + "value": 0.0, + "visible": False, + }, + "receivers_offset_y": { + "group": "Data pre-processing", + "label": "Receiver Y offset (m)", + "optional": True, + "enabled": False, + "value": 0.0, + "visible": False, + }, + "receivers_offset_z": { + "group": "Data pre-processing", + "label": "Z static offset", + "optional": True, + "enabled": False, + "value": 0.0, + "visible": False, + }, + "receivers_radar_drape": { + "association": ["Cell", "Vertex"], + "dataType": "Float", + "group": "Data pre-processing", + "label": "Z radar offset", + "tooltip": "Apply a non-homogeneous offset to survey object from radar channel.", + "optional": True, + "parent": "data_object", + "value": None, + "enabled": False, + "visible": False, + }, } default_ui_json = dict(base_default_ui_json, **default_ui_json) diff --git a/geoapps/inversion/electricals/induced_polarization/two_dimensions/driver.py b/geoapps/inversion/electricals/induced_polarization/two_dimensions/driver.py new file mode 100644 index 000000000..aa5a6cc6a --- /dev/null +++ b/geoapps/inversion/electricals/induced_polarization/two_dimensions/driver.py @@ -0,0 +1,20 @@ +# Copyright (c) 2022 Mira Geoscience Ltd. +# +# This file is part of geoapps. +# +# geoapps is distributed under the terms and conditions of the MIT License +# (see LICENSE file at the root of this source code package). + +from geoapps.inversion.driver import InversionDriver + +from .constants import validations +from .params import InducedPolarization2DParams + + +class InducedPolarization2DDriver(InversionDriver): + + _params_class = InducedPolarization2DParams + _validations = validations + + def __init__(self, params: InducedPolarization2DParams, warmstart=True): + super().__init__(params, warmstart) diff --git a/geoapps/inversion/electricals/induced_polarization/two_dimensions/params.py b/geoapps/inversion/electricals/induced_polarization/two_dimensions/params.py index e6395fe1d..a5584b518 100644 --- a/geoapps/inversion/electricals/induced_polarization/two_dimensions/params.py +++ b/geoapps/inversion/electricals/induced_polarization/two_dimensions/params.py @@ -40,7 +40,7 @@ def __init__(self, input_file=None, forward_only=False, **kwargs): self._forward_ui_json = deepcopy(forward_ui_json) self._inversion_defaults = deepcopy(inversion_defaults) self._inversion_ui_json = deepcopy(inversion_ui_json) - self._inversion_type = "induced polarization" + self._inversion_type = "induced polarization 2d" self._validations = validations self._chargeability_channel_bool = None self._chargeability_channel = None diff --git a/geoapps/inversion/natural_sources/__init__.py b/geoapps/inversion/natural_sources/__init__.py index c75c40e11..6437e19a9 100644 --- a/geoapps/inversion/natural_sources/__init__.py +++ b/geoapps/inversion/natural_sources/__init__.py @@ -5,7 +5,5 @@ # geoapps is distributed under the terms and conditions of the MIT License # (see LICENSE file at the root of this source code package). -from __future__ import annotations - from .magnetotellurics import MagnetotelluricsParams from .tipper import TipperParams diff --git a/geoapps/inversion/natural_sources/magnetotellurics/__init__.py b/geoapps/inversion/natural_sources/magnetotellurics/__init__.py index 5a86c2c0a..66dd94952 100644 --- a/geoapps/inversion/natural_sources/magnetotellurics/__init__.py +++ b/geoapps/inversion/natural_sources/magnetotellurics/__init__.py @@ -5,6 +5,4 @@ # geoapps is distributed under the terms and conditions of the MIT License # (see LICENSE file at the root of this source code package). -from __future__ import annotations - from .params import MagnetotelluricsParams diff --git a/geoapps/inversion/natural_sources/magnetotellurics/constants.py b/geoapps/inversion/natural_sources/magnetotellurics/constants.py index 1cba895f9..fd8c92952 100644 --- a/geoapps/inversion/natural_sources/magnetotellurics/constants.py +++ b/geoapps/inversion/natural_sources/magnetotellurics/constants.py @@ -17,7 +17,8 @@ ################# defaults ################## inversion_defaults = { - "title": "SimPEG Magnetotellurics inversion", + "title": "Magnetotellurics (MT) inversion", + "icon": "surveymagnetotellurics", "inversion_type": "magnetotellurics", "geoh5": None, # Must remain at top of list for notebook app initialization "forward_only": False, @@ -94,15 +95,15 @@ "parallelized": True, "n_cpu": None, "tile_spatial": 1, - "store_sensitivities": "disk", + "store_sensitivities": "ram", "max_ram": None, "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "MagnetotelluricsInversion", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "zxx_real_channel_bool": False, @@ -116,7 +117,8 @@ } forward_defaults = { - "title": "SimPEG Magnetotellurics Forward", + "title": "Magnetotellurics (MT) forward", + "icon": "surveymagnetotellurics", "inversion_type": "magnetotellurics", "geoh5": None, # Must remain at top of list for notebook app initialization "forward_only": True, @@ -130,14 +132,14 @@ "receivers_offset_y": None, "receivers_offset_z": None, "gps_receivers_offset": None, - "zxx_real_channel_bool": False, - "zxx_imag_channel_bool": False, - "zxy_real_channel_bool": False, - "zxy_imag_channel_bool": False, - "zyx_real_channel_bool": False, - "zyx_imag_channel_bool": False, - "zyy_real_channel_bool": False, - "zyy_imag_channel_bool": False, + "zxx_real_channel_bool": True, + "zxx_imag_channel_bool": True, + "zxy_real_channel_bool": True, + "zxy_imag_channel_bool": True, + "zyx_real_channel_bool": True, + "zyx_imag_channel_bool": True, + "zyy_real_channel_bool": True, + "zyy_imag_channel_bool": True, "mesh": None, "background_conductivity": 1e-3, "starting_model": 1e-3, @@ -153,10 +155,10 @@ "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "MagnetotelluricsForward", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "gradient_type": "total", @@ -179,6 +181,8 @@ "zyx_imag_channel_bool": False, "zyy_real_channel_bool": False, "zyy_imag_channel_bool": False, + "detrend_type": None, + "detrend_order": None, } forward_ui_json = { @@ -194,7 +198,8 @@ } default_ui_json = { - "title": "SimPEG Magnetotellurics inversion", + "title": "Magnetotellurics (MT) inversion", + "icon": "surveymagnetotellurics", "inversion_type": "magnetotellurics", "data_object": { "main": True, @@ -450,7 +455,7 @@ "main": True, "isValue": False, "parent": "mesh", - "label": "Initial Conductivity (S/m)", + "label": "Initial conductivity (S/m)", "property": None, "value": 1e-3, }, @@ -461,7 +466,7 @@ "group": "Mesh and Models", "isValue": True, "parent": "mesh", - "label": "Reference Conductivity (S/m)", + "label": "Reference conductivity (S/m)", "property": None, "value": 1e-3, }, diff --git a/geoapps/inversion/natural_sources/magnetotellurics/driver.py b/geoapps/inversion/natural_sources/magnetotellurics/driver.py new file mode 100644 index 000000000..396fb4a27 --- /dev/null +++ b/geoapps/inversion/natural_sources/magnetotellurics/driver.py @@ -0,0 +1,20 @@ +# Copyright (c) 2022 Mira Geoscience Ltd. +# +# This file is part of geoapps. +# +# geoapps is distributed under the terms and conditions of the MIT License +# (see LICENSE file at the root of this source code package). + +from geoapps.inversion.driver import InversionDriver + +from .constants import validations +from .params import MagnetotelluricsParams + + +class MagnetotelluricsDriver(InversionDriver): + + _params_class = MagnetotelluricsParams + _validations = validations + + def __init__(self, params: MagnetotelluricsParams, warmstart=True): + super().__init__(params, warmstart) diff --git a/geoapps/inversion/natural_sources/tipper/__init__.py b/geoapps/inversion/natural_sources/tipper/__init__.py index 11b6418ff..3e661d2e2 100644 --- a/geoapps/inversion/natural_sources/tipper/__init__.py +++ b/geoapps/inversion/natural_sources/tipper/__init__.py @@ -5,6 +5,4 @@ # geoapps is distributed under the terms and conditions of the MIT License # (see LICENSE file at the root of this source code package). -from __future__ import annotations - from .params import TipperParams diff --git a/geoapps/inversion/natural_sources/tipper/constants.py b/geoapps/inversion/natural_sources/tipper/constants.py index 2670df54a..ab762e5b6 100644 --- a/geoapps/inversion/natural_sources/tipper/constants.py +++ b/geoapps/inversion/natural_sources/tipper/constants.py @@ -16,7 +16,8 @@ ################# defaults ################## inversion_defaults = { - "title": "SimPEG Tipper inversion", + "title": "Tipper inversion", + "icon": "surveyztem", "inversion_type": "tipper", "geoh5": None, # Must remain at top of list for notebook app initialization "forward_only": False, @@ -86,14 +87,14 @@ "n_cpu": None, "tile_spatial": 1, "max_ram": None, - "store_sensitivities": "disk", + "store_sensitivities": "ram", "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "TipperInversion", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "txz_real_channel_bool": False, @@ -103,7 +104,8 @@ } forward_defaults = { - "title": "SimPEG Tipper Forward", + "title": "Tipper forward", + "icon": "surveyztem", "inversion_type": "tipper", "geoh5": None, # Must remain at top of list for notebook app initialization "forward_only": True, @@ -117,10 +119,10 @@ "receivers_offset_y": None, "receivers_offset_z": None, "gps_receivers_offset": None, - "txz_real_channel_bool": False, - "txz_imag_channel_bool": False, - "tyz_real_channel_bool": False, - "tyz_imag_channel_bool": False, + "txz_real_channel_bool": True, + "txz_imag_channel_bool": True, + "tyz_real_channel_bool": True, + "tyz_imag_channel_bool": True, "mesh": None, "background_conductivity": 1e-3, "starting_model": 1e-3, @@ -136,10 +138,10 @@ "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "TipperForward", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "gradient_type": "total", @@ -158,6 +160,8 @@ "txz_imag_channel_bool": False, "tyz_real_channel_bool": False, "tyz_imag_channel_bool": False, + "detrend_type": None, + "detrend_order": None, } forward_ui_json = { @@ -173,7 +177,8 @@ } default_ui_json = { - "title": "SimPEG Tipper inversion", + "title": "Tipper inversion", + "icon": "surveyztem", "inversion_type": "tipper", "data_object": { "main": True, @@ -309,7 +314,7 @@ "main": True, "isValue": False, "parent": "mesh", - "label": "Initial Conductivity (S/m)", + "label": "Initial conductivity (S/m)", "property": None, "value": 1e-3, }, @@ -320,7 +325,7 @@ "group": "Mesh and Models", "isValue": True, "parent": "mesh", - "label": "Reference Conductivity (S/m)", + "label": "Reference conductivity (S/m)", "property": None, "value": 1e-3, }, @@ -331,7 +336,7 @@ "main": True, "isValue": True, "parent": "mesh", - "label": "Background Conductivity (S/m)", + "label": "Background conductivity (S/m)", "property": None, "value": 1e-3, }, diff --git a/geoapps/inversion/natural_sources/tipper/driver.py b/geoapps/inversion/natural_sources/tipper/driver.py new file mode 100644 index 000000000..043308e5a --- /dev/null +++ b/geoapps/inversion/natural_sources/tipper/driver.py @@ -0,0 +1,20 @@ +# Copyright (c) 2022 Mira Geoscience Ltd. +# +# This file is part of geoapps. +# +# geoapps is distributed under the terms and conditions of the MIT License +# (see LICENSE file at the root of this source code package). + +from geoapps.inversion.driver import InversionDriver + +from .constants import validations +from .params import TipperParams + + +class TipperDriver(InversionDriver): + + _params_class = TipperParams + _validations = validations + + def __init__(self, params: TipperParams, warmstart=True): + super().__init__(params, warmstart) diff --git a/geoapps/inversion/params.py b/geoapps/inversion/params.py index 95db0dba3..2705468e9 100644 --- a/geoapps/inversion/params.py +++ b/geoapps/inversion/params.py @@ -105,7 +105,7 @@ def __init__( self._documentation: str = None self._icon: str = None self._defaults = ( - self.forward_defaults if self.forward_only else self.inversion_defaults + self._forward_defaults if self.forward_only else self._inversion_defaults ) if input_file is None: diff --git a/geoapps/inversion/potential_fields/__init__.py b/geoapps/inversion/potential_fields/__init__.py index 8c8e3281f..b9f5c781e 100644 --- a/geoapps/inversion/potential_fields/__init__.py +++ b/geoapps/inversion/potential_fields/__init__.py @@ -5,8 +5,6 @@ # geoapps is distributed under the terms and conditions of the MIT License # (see LICENSE file at the root of this source code package). -from __future__ import annotations - from .gravity.params import GravityParams from .magnetic_scalar.params import MagneticScalarParams from .magnetic_vector.params import MagneticVectorParams diff --git a/geoapps/inversion/potential_fields/gravity/__init__.py b/geoapps/inversion/potential_fields/gravity/__init__.py index 74f7d55e5..3e89ada30 100644 --- a/geoapps/inversion/potential_fields/gravity/__init__.py +++ b/geoapps/inversion/potential_fields/gravity/__init__.py @@ -5,6 +5,4 @@ # geoapps is distributed under the terms and conditions of the MIT License # (see LICENSE file at the root of this source code package). -from __future__ import annotations - from .params import GravityParams diff --git a/geoapps/inversion/potential_fields/gravity/constants.py b/geoapps/inversion/potential_fields/gravity/constants.py index 4d1b9c07a..629635548 100644 --- a/geoapps/inversion/potential_fields/gravity/constants.py +++ b/geoapps/inversion/potential_fields/gravity/constants.py @@ -99,15 +99,15 @@ "parallelized": True, "n_cpu": None, "tile_spatial": 1, - "store_sensitivities": "disk", + "store_sensitivities": "ram", "max_ram": None, "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "GravityInversion", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "gz_channel_bool": False, @@ -122,7 +122,7 @@ "gy_channel_bool": False, } forward_defaults = { - "title": "Gravity Forward", + "title": "Gravity forward", "documentation": "https://geoapps.readthedocs.io/en/stable/content/applications/grav_mag_inversion.html", "icon": "surveyairbornegravity", "inversion_type": "gravity", @@ -131,14 +131,14 @@ "topography_object": None, "topography": None, "data_object": None, - "resolution": None, "z_from_topo": False, + "resolution": None, "receivers_radar_drape": None, "receivers_offset_x": None, "receivers_offset_y": None, "receivers_offset_z": None, "gps_receivers_offset": None, - "gz_channel_bool": False, + "gz_channel_bool": True, "gx_channel_bool": False, "gy_channel_bool": False, "guv_channel_bool": False, @@ -162,10 +162,10 @@ "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "GravityForward", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "gradient_type": "total", @@ -193,6 +193,17 @@ } forward_ui_json = { + "starting_model": { + "association": ["Cell", "Vertex"], + "dataType": "Float", + "group": "Mesh and Models", + "main": True, + "isValue": True, + "parent": "mesh", + "label": "Density contrast (g/cc)", + "property": None, + "value": 1e-3, + }, "gradient_type": "total", "alpha_s": 1.0, "alpha_x": 1.0, @@ -530,7 +541,7 @@ "main": True, "isValue": True, "parent": "mesh", - "label": "Initial Density (g/cc)", + "label": "Initial density (g/cc)", "property": None, "value": 1e-3, }, @@ -541,7 +552,7 @@ "group": "Mesh and Models", "isValue": True, "parent": "mesh", - "label": "Reference Density (g/cc)", + "label": "Reference density (g/cc)", "property": None, "value": 0.0, }, @@ -625,7 +636,7 @@ "gxz_uncertainty": 1.0, "gyz_channel": UUID("{3d19bd53-8bb8-4634-aeae-4e3a90e9d19e}"), "gyz_uncertainty": 1.0, - "mesh": UUID("{385f341f-1027-4b8e-9a86-93be239aa3fb}"), + "mesh": UUID("{a8f3b369-10bd-4ca8-8bd6-2d2595bddbdf}"), "resolution": 50.0, "window_center_x": 314565.0, "window_center_y": 6072334.0, diff --git a/geoapps/inversion/potential_fields/gravity/driver.py b/geoapps/inversion/potential_fields/gravity/driver.py new file mode 100644 index 000000000..60e76ec31 --- /dev/null +++ b/geoapps/inversion/potential_fields/gravity/driver.py @@ -0,0 +1,20 @@ +# Copyright (c) 2022 Mira Geoscience Ltd. +# +# This file is part of geoapps. +# +# geoapps is distributed under the terms and conditions of the MIT License +# (see LICENSE file at the root of this source code package). + +from geoapps.inversion.driver import InversionDriver + +from .constants import validations +from .params import GravityParams + + +class GravityDriver(InversionDriver): + + _params_class = GravityParams + _validations = validations + + def __init__(self, params: GravityParams, warmstart=True): + super().__init__(params, warmstart) diff --git a/geoapps/inversion/potential_fields/magnetic_scalar/__init__.py b/geoapps/inversion/potential_fields/magnetic_scalar/__init__.py index 0cae533cb..54db6721a 100644 --- a/geoapps/inversion/potential_fields/magnetic_scalar/__init__.py +++ b/geoapps/inversion/potential_fields/magnetic_scalar/__init__.py @@ -5,6 +5,4 @@ # geoapps is distributed under the terms and conditions of the MIT License # (see LICENSE file at the root of this source code package). -from __future__ import annotations - from .params import MagneticScalarParams diff --git a/geoapps/inversion/potential_fields/magnetic_scalar/constants.py b/geoapps/inversion/potential_fields/magnetic_scalar/constants.py index f0df97e52..f625ae5c5 100644 --- a/geoapps/inversion/potential_fields/magnetic_scalar/constants.py +++ b/geoapps/inversion/potential_fields/magnetic_scalar/constants.py @@ -17,9 +17,9 @@ ################# defaults ################## inversion_defaults = { - "title": "Magnetic Susceptibility inversion", + "title": "Magnetic inversion", "documentation": "https://geoapps.readthedocs.io/en/stable/content/applications/grav_mag_inversion.html", - "icon": "surveyairbornegravity", + "icon": "surveyairbornemagnetics", "inversion_type": "magnetic scalar", "geoh5": None, # Must remain at top of list for notebook app initialization "forward_only": False, @@ -102,15 +102,15 @@ "parallelized": True, "n_cpu": None, "tile_spatial": 1, - "store_sensitivities": "disk", + "store_sensitivities": "ram", "max_ram": None, "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "MagneticSusceptibilityInversion", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "tmi_channel_bool": False, @@ -125,7 +125,7 @@ "bz_channel_bool": False, } forward_defaults = { - "title": "Magnetic Susceptibility Forward", + "title": "Magnetic Susceptibility forward", "documentation": "https://geoapps.readthedocs.io/en/stable/content/applications/grav_mag_inversion.html", "icon": "surveyairbornegravity", "inversion_type": "magnetic scalar", @@ -144,7 +144,7 @@ "receivers_offset_z": None, "receivers_radar_drape": None, "gps_receivers_offset": None, - "tmi_channel_bool": False, + "tmi_channel_bool": True, "bx_channel_bool": False, "by_channel_bool": False, "bz_channel_bool": False, @@ -168,10 +168,10 @@ "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "MagneticScalarForward", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "gradient_type": "total", @@ -199,6 +199,17 @@ } forward_ui_json = { + "starting_model": { + "association": ["Cell", "Vertex"], + "dataType": "Float", + "group": "Mesh and Models", + "main": True, + "isValue": True, + "parent": "mesh", + "label": "Susceptibility (SI)", + "property": None, + "value": 1e-4, + }, "gradient_type": "total", "alpha_s": 1.0, "alpha_x": 1.0, @@ -216,7 +227,10 @@ "icon": "surveyairbornegravity", "inversion_type": "magnetic scalar", "inducing_field_strength": { - "min": 1.0, + "min": 0.0, + "max": 100000.0, + "precision": 2, + "lineEdit": False, "main": True, "group": "Inducing Field", "label": "Strength (nT)", @@ -226,18 +240,20 @@ "min": -90.0, "max": 90.0, "precision": 2, + "lineEdit": False, "main": True, "group": "Inducing Field", - "label": "Inclination (degrees from North)", + "label": "Inclination (deg)", "value": 90.0, }, "inducing_field_declination": { "min": -180.0, "max": 180.0, "precision": 2, + "lineEdit": False, "main": True, "group": "Inducing Field", - "label": "Declination (degrees from horizontal)", + "label": "Declination (deg)", "value": 0.0, }, "data_object": { @@ -561,7 +577,7 @@ "main": True, "isValue": True, "parent": "mesh", - "label": "Initial Susceptibility (SI)", + "label": "Initial susceptibility (SI)", "property": None, "value": 1e-4, }, @@ -572,7 +588,7 @@ "group": "Mesh and Models", "isValue": True, "parent": "mesh", - "label": "Reference Susceptibility (SI)", + "label": "Reference susceptibility (SI)", "property": None, "value": 0.0, }, @@ -650,7 +666,7 @@ "resolution": 50.0, "tmi_channel": UUID("{44822654-b6ae-45b0-8886-2d845f80f422}"), "tmi_uncertainty": 10.0, - "mesh": UUID("{385f341f-1027-4b8e-9a86-93be239aa3fb}"), + "mesh": UUID("{a8f3b369-10bd-4ca8-8bd6-2d2595bddbdf}"), "inducing_field_strength": 60000.0, "inducing_field_inclination": 79.0, "inducing_field_declination": 11.0, diff --git a/geoapps/inversion/potential_fields/magnetic_scalar/driver.py b/geoapps/inversion/potential_fields/magnetic_scalar/driver.py new file mode 100644 index 000000000..dc742f28b --- /dev/null +++ b/geoapps/inversion/potential_fields/magnetic_scalar/driver.py @@ -0,0 +1,20 @@ +# Copyright (c) 2022 Mira Geoscience Ltd. +# +# This file is part of geoapps. +# +# geoapps is distributed under the terms and conditions of the MIT License +# (see LICENSE file at the root of this source code package). + +from geoapps.inversion.driver import InversionDriver + +from .constants import validations +from .params import MagneticScalarParams + + +class MagneticScalarDriver(InversionDriver): + + _params_class = MagneticScalarParams + _validations = validations + + def __init__(self, params: MagneticScalarParams, warmstart=True): + super().__init__(params, warmstart) diff --git a/geoapps/inversion/potential_fields/magnetic_vector/__init__.py b/geoapps/inversion/potential_fields/magnetic_vector/__init__.py index 706569837..f95b30c21 100644 --- a/geoapps/inversion/potential_fields/magnetic_vector/__init__.py +++ b/geoapps/inversion/potential_fields/magnetic_vector/__init__.py @@ -5,6 +5,4 @@ # geoapps is distributed under the terms and conditions of the MIT License # (see LICENSE file at the root of this source code package). -from __future__ import annotations - from .params import MagneticVectorParams diff --git a/geoapps/inversion/potential_fields/magnetic_vector/constants.py b/geoapps/inversion/potential_fields/magnetic_vector/constants.py index 6023d27ab..c8d52a92c 100644 --- a/geoapps/inversion/potential_fields/magnetic_vector/constants.py +++ b/geoapps/inversion/potential_fields/magnetic_vector/constants.py @@ -106,15 +106,15 @@ "parallelized": True, "n_cpu": None, "tile_spatial": 1, - "store_sensitivities": "disk", + "store_sensitivities": "ram", "max_ram": None, "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "MagneticVectorInversion", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "tmi_channel_bool": False, @@ -130,9 +130,9 @@ } forward_defaults = { - "title": "Magnetic Vector Forward", + "title": "Magnetic Vector forward", "documentation": "https://geoapps.readthedocs.io/en/stable/content/applications/grav_mag_inversion.html", - "icon": "surveyairbornegravity", + "icon": "surveyairbornemagnetics", "inversion_type": "magnetic vector", "geoh5": None, # Must remain at top of list for notebook app initialization "forward_only": True, @@ -149,7 +149,7 @@ "receivers_offset_z": None, "receivers_radar_drape": None, "gps_receivers_offset": None, - "tmi_channel_bool": False, + "tmi_channel_bool": True, "bx_channel_bool": False, "by_channel_bool": False, "bz_channel_bool": False, @@ -175,10 +175,10 @@ "max_chunk_size": 128, "chunk_by_rows": True, "out_group": "MagneticVectorForward", + "generate_sweep": False, "monitoring_directory": None, "workspace_geoh5": None, "run_command": "geoapps.inversion.driver", - "run_command_boolean": False, "conda_environment": "geoapps", "distributed_workers": None, "gradient_type": "total", @@ -206,6 +206,17 @@ } forward_ui_json = { + "starting_model": { + "association": ["Cell", "Vertex"], + "dataType": "Float", + "group": "Mesh and Models", + "main": True, + "isValue": False, + "parent": "mesh", + "label": "Susceptibility (SI)", + "property": None, + "value": 1e-4, + }, "gradient_type": "total", "alpha_s": 1.0, "alpha_x": 1.0, @@ -224,6 +235,9 @@ "inversion_type": "magnetic vector", "inducing_field_strength": { "min": 0.0, + "max": 100000.0, + "precision": 2, + "lineEdit": False, "main": True, "group": "Inducing Field", "label": "Strength (nT)", @@ -232,17 +246,21 @@ "inducing_field_inclination": { "min": -90.0, "max": 90.0, + "precision": 2, + "lineEdit": False, "main": True, "group": "Inducing Field", - "label": "Inclination (degrees from North)", + "label": "Inclination (deg)", "value": 90.0, }, "inducing_field_declination": { "min": -180, "max": 180, + "precision": 2, + "lineEdit": False, "main": True, "group": "Inducing Field", - "label": "Declination (degrees from horizontal)", + "label": "Declination (deg)", "value": 0.0, }, "data_object": { @@ -566,7 +584,7 @@ "main": True, "isValue": False, "parent": "mesh", - "label": "Initial Susceptibility (SI)", + "label": "Initial susceptibility (SI)", "property": None, "value": 1e-4, }, @@ -579,7 +597,7 @@ "optional": True, "enabled": False, "parent": "mesh", - "label": "Initial Inclination (degrees)", + "label": "Initial inclination (deg)", "property": None, "value": 0.0, }, @@ -592,7 +610,7 @@ "optional": True, "enabled": False, "parent": "mesh", - "label": "Initial Declination (degrees)", + "label": "Initial declination (deg)", "property": None, "value": 0.0, }, @@ -603,7 +621,7 @@ "group": "Mesh and Models", "isValue": True, "parent": "mesh", - "label": "Reference Susceptibility (SI)", + "label": "Reference susceptibility (SI)", "property": None, "value": 0.0, }, @@ -615,7 +633,7 @@ "isValue": False, "optional": True, "enabled": False, - "label": "Reference Inclination (degrees)", + "label": "Reference inclination (deg)", "parent": "mesh", "property": None, "value": 0.0, @@ -628,7 +646,7 @@ "isValue": True, "optional": True, "enabled": False, - "label": "Reference Declination (degrees)", + "label": "Reference declination (deg)", "parent": "mesh", "property": None, "value": 0.0, @@ -704,7 +722,7 @@ "data_object": UUID("{538a7eb1-2218-4bec-98cc-0a759aa0ef4f}"), "tmi_channel": UUID("{44822654-b6ae-45b0-8886-2d845f80f422}"), "tmi_uncertainty": 10.0, - "mesh": UUID("{385f341f-1027-4b8e-9a86-93be239aa3fb}"), + "mesh": UUID("{a8f3b369-10bd-4ca8-8bd6-2d2595bddbdf}"), "inducing_field_strength": 60000.0, "inducing_field_inclination": 79.0, "inducing_field_declination": 11.0, diff --git a/geoapps/inversion/potential_fields/magnetic_vector/driver.py b/geoapps/inversion/potential_fields/magnetic_vector/driver.py new file mode 100644 index 000000000..104489dbf --- /dev/null +++ b/geoapps/inversion/potential_fields/magnetic_vector/driver.py @@ -0,0 +1,20 @@ +# Copyright (c) 2022 Mira Geoscience Ltd. +# +# This file is part of geoapps. +# +# geoapps is distributed under the terms and conditions of the MIT License +# (see LICENSE file at the root of this source code package). + +from geoapps.inversion.driver import InversionDriver + +from .constants import validations +from .params import MagneticVectorParams + + +class MagneticVectorDriver(InversionDriver): + + _params_class = MagneticVectorParams + _validations = validations + + def __init__(self, params: MagneticVectorParams, warmstart=True): + super().__init__(params, warmstart) diff --git a/geoapps/inversion/potential_fields/notebook.ipynb b/geoapps/inversion/potential_fields/notebook.ipynb index 2bf81138d..e402bff48 100644 --- a/geoapps/inversion/potential_fields/notebook.ipynb +++ b/geoapps/inversion/potential_fields/notebook.ipynb @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:3e98bbd25d7f51fd29c8a19ca79f263f6bd9c764eeb025acb0f5ece227c5e9d2 -size 3064 +oid sha256:37dadc35af87e2fe0f8be1f692558d0a9ad9263393d529a72f4c5f77d91d864e +size 3525 diff --git a/geoapps/iso_surfaces/constants.py b/geoapps/iso_surfaces/constants.py index 17ca6b1f6..5a3745f02 100644 --- a/geoapps/iso_surfaces/constants.py +++ b/geoapps/iso_surfaces/constants.py @@ -23,8 +23,8 @@ "fixed_contours": "0.0025", "max_distance": 500.0, "resolution": 50.0, + "generate_sweep": False, "run_command": "geoapps.iso_surfaces.driver", - "run_command_boolean": False, "monitoring_directory": None, "workspace_geoh5": None, "conda_environment": "geoapps", @@ -37,12 +37,6 @@ "title": "Create Iso Surfaces", "geoh5": "", "run_command": "geoapps.iso_surfaces.driver", - "run_command_boolean": { - "value": False, - "label": "Run python module ", - "tooltip": "Warning: launches process to run python model on save", - "main": True, - }, "monitoring_directory": "", "conda_environment": "geoapps", "conda_environment_boolean": False, @@ -106,6 +100,12 @@ "main": True, "value": 50.0, }, + "generate_sweep": { + "label": "Generate sweep file", + "group": "Python run preferences", + "main": True, + "value": False, + }, "export_as": {"main": True, "label": "Name", "value": "Iso_"}, } ) diff --git a/geoapps/iso_surfaces/driver.py b/geoapps/iso_surfaces/driver.py index a696bdb7a..c26626da6 100644 --- a/geoapps/iso_surfaces/driver.py +++ b/geoapps/iso_surfaces/driver.py @@ -14,18 +14,24 @@ import numpy as np from geoh5py.groups import ContainerGroup from geoh5py.objects import BlockModel, ObjectBase, Surface -from geoh5py.ui_json import InputFile from geoh5py.ui_json.utils import monitored_directory_copy from scipy.interpolate import interp1d from skimage.measure import marching_cubes +from geoapps.driver_base.driver import BaseDriver +from geoapps.iso_surfaces.constants import validations from geoapps.iso_surfaces.params import IsoSurfacesParams from geoapps.shared_utils.utils import get_contours, rotate_xyz, weighted_average from geoapps.utils.formatters import string_name -class IsoSurfacesDriver: +class IsoSurfacesDriver(BaseDriver): + + _params_class = IsoSurfacesParams + _validations = validations + def __init__(self, params: IsoSurfacesParams): + super().__init__(params) self.params: IsoSurfacesParams = params def run(self): @@ -195,12 +201,5 @@ def iso_surface( if __name__ == "__main__": - print("Loading geoh5 file . . .") file = sys.argv[1] - params_class = IsoSurfacesParams(InputFile.read_ui_json(file)) - driver = IsoSurfacesDriver(params_class) - - print("Loaded. Running iso surface creation . . .") - with params_class.geoh5.open(mode="r+"): - driver.run() - print("Done.") + IsoSurfacesDriver.start(file) diff --git a/geoapps/octree_creation/constants.py b/geoapps/octree_creation/constants.py index 6839627d8..5adcbc7cd 100644 --- a/geoapps/octree_creation/constants.py +++ b/geoapps/octree_creation/constants.py @@ -23,8 +23,8 @@ "vertical_padding": 1000.0, "depth_core": 500.0, "ga_group_name": "Octree_Mesh", + "generate_sweep": False, "run_command": "geoapps.octree_creation.driver", - "run_command_boolean": False, "monitoring_directory": None, "workspace_geoh5": None, "conda_environment": "geoapps", @@ -99,6 +99,12 @@ "label": "Name:", "value": "Octree_Mesh", }, + "generate_sweep": { + "label": "Generate sweep file", + "group": "Python run preferences", + "main": True, + "value": False, + }, "conda_environment": "geoapps", "workspace_geoh5": None, "run_command": "geoapps.octree_creation.driver", diff --git a/geoapps/octree_creation/driver.py b/geoapps/octree_creation/driver.py index 6e4b0d298..8dfb336ad 100644 --- a/geoapps/octree_creation/driver.py +++ b/geoapps/octree_creation/driver.py @@ -13,14 +13,21 @@ from discretize.utils import mesh_builder_xyz, refine_tree_xyz from geoh5py.objects import ObjectBase, Octree -from geoh5py.ui_json import InputFile, monitored_directory_copy +from geoh5py.ui_json import monitored_directory_copy +from geoapps.driver_base.driver import BaseDriver from geoapps.driver_base.utils import treemesh_2_octree +from geoapps.octree_creation.constants import validations from geoapps.octree_creation.params import OctreeParams -class OctreeDriver: +class OctreeDriver(BaseDriver): + + _params_class = OctreeParams + _validations = validations + def __init__(self, params: OctreeParams): + super().__init__(params) self.params: OctreeParams = params def run(self) -> Octree: @@ -34,9 +41,6 @@ def run(self) -> Octree: ): monitored_directory_copy(self.params.monitoring_directory, octree) - else: - print(f"Result exported to: {self.params.geoh5.h5file}") - return octree @staticmethod @@ -83,7 +87,7 @@ def octree_from_params(params: OctreeParams): finalize=False, ) - print("Finalizing...") + print("Finalizing . . .") treemesh.finalize() octree = treemesh_2_octree(params.geoh5, treemesh, name=params.ga_group_name) @@ -93,8 +97,4 @@ def octree_from_params(params: OctreeParams): if __name__ == "__main__": file = sys.argv[1] - params_class = OctreeParams(InputFile.read_ui_json(file)) - - with params_class.geoh5.open(mode="r+"): - driver = OctreeDriver(params_class) - driver.run() + OctreeDriver.start(file) diff --git a/geoapps/octree_creation/notebook.ipynb b/geoapps/octree_creation/notebook.ipynb index 75fd5541c..4d5688d62 100644 --- a/geoapps/octree_creation/notebook.ipynb +++ b/geoapps/octree_creation/notebook.ipynb @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:c7e2f7225227f5b29bcf0b0796eb4077272ff6e1d7e6787c3077a1cba4edefca -size 2402 +oid sha256:ede7bb884d04c4f1c9191c79f36f7dd125de3de681d996f457f602629cae4ce5 +size 2295 diff --git a/geoapps/peak_finder/constants.py b/geoapps/peak_finder/constants.py index 7098db976..72980a1a8 100644 --- a/geoapps/peak_finder/constants.py +++ b/geoapps/peak_finder/constants.py @@ -41,7 +41,6 @@ "center": None, "width": None, "run_command": "geoapps.peak_finder.driver", - "run_command_boolean": False, "monitoring_directory": None, "workspace_geoh5": None, "conda_environment": "geoapps", diff --git a/geoapps/peak_finder/driver.py b/geoapps/peak_finder/driver.py index dbf838c2e..a06189936 100644 --- a/geoapps/peak_finder/driver.py +++ b/geoapps/peak_finder/driver.py @@ -16,9 +16,11 @@ from dask.diagnostics import ProgressBar from geoh5py.groups import ContainerGroup from geoh5py.objects import Curve, Points -from geoh5py.ui_json import InputFile, monitored_directory_copy +from geoh5py.ui_json import monitored_directory_copy from tqdm import tqdm +from geoapps.driver_base.driver import BaseDriver +from geoapps.peak_finder.constants import validations from geoapps.peak_finder.params import PeakFinderParams from geoapps.peak_finder.utils import default_groups_from_property_group, find_anomalies from geoapps.shared_utils.utils import hex_to_rgb @@ -26,13 +28,17 @@ from geoapps.utils.formatters import string_name -class PeakFinderDriver: +class PeakFinderDriver(BaseDriver): + + _params_class = PeakFinderParams + _validations = validations + def __init__(self, params: PeakFinderParams): + super().__init__(params) self.params: PeakFinderParams = params - def run(self, output_group=None): + def run(self): - print("Reading parameters...") survey = self.params.objects prop_group = [ pg for pg in survey.property_groups if pg.uid == self.params.data.uid @@ -44,10 +50,9 @@ def run(self, output_group=None): else: normalization = [1] - if output_group is None: - output_group = ContainerGroup.create( - self.params.geoh5, name=string_name(self.params.ga_group_name) - ) + output_group = ContainerGroup.create( + self.params.geoh5, name=string_name(self.params.ga_group_name) + ) line_field = self.params.line_field lines = np.unique(line_field.values) @@ -138,7 +143,7 @@ def run(self, output_group=None): skew += [group["skew"]] peaks += [group["peaks"]] - print("Exporting...") + print("Exporting . . .") if cox: channel_group = np.hstack(channel_group) # Start count at 1 @@ -313,19 +318,12 @@ def rotation_2D(angle): parent=output_group, ) - print("Process completed.") - if self.params.monitoring_directory is not None and path.exists( self.params.monitoring_directory ): monitored_directory_copy(self.params.monitoring_directory, output_group) - else: - print(f"Result exported to: {self.params.geoh5.h5file}") if __name__ == "__main__": file = sys.argv[1] - params_class = PeakFinderParams(InputFile.read_ui_json(file)) - driver = PeakFinderDriver(params_class) - with params_class.geoh5.open(mode="r+"): - driver.run() + PeakFinderDriver.start(file) diff --git a/geoapps/peak_finder/notebook.ipynb b/geoapps/peak_finder/notebook.ipynb index c105f8abd..402470f8a 100644 --- a/geoapps/peak_finder/notebook.ipynb +++ b/geoapps/peak_finder/notebook.ipynb @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:87dbcc308b033f4bb3d88c1141f40711669c950ce35f8c4718338341a50734b0 -size 2400 +oid sha256:681e060b3938216975616371e0d671ee0318698a5596ebca252f23347ee6d2c8 +size 4289 diff --git a/geoapps/scatter_plot/constants.py b/geoapps/scatter_plot/constants.py index a6a25f1f4..c15ba4450 100644 --- a/geoapps/scatter_plot/constants.py +++ b/geoapps/scatter_plot/constants.py @@ -46,7 +46,6 @@ "size_thresh": None, "size_markers": None, "run_command": "geoapps.scatter_plot.application", - "run_command_boolean": False, "monitoring_directory": None, "workspace_geoh5": None, "conda_environment": "geoapps", diff --git a/geoapps/scatter_plot/driver.py b/geoapps/scatter_plot/driver.py index d4b01e7de..033411b53 100644 --- a/geoapps/scatter_plot/driver.py +++ b/geoapps/scatter_plot/driver.py @@ -11,13 +11,20 @@ import numpy as np import plotly.graph_objects as go +from geoapps.driver_base.driver import BaseDriver +from geoapps.scatter_plot.constants import validations from geoapps.scatter_plot.params import ScatterPlotParams from geoapps.utils.plotting import format_axis, normalize, symlog from geoapps.utils.statistics import random_sampling -class ScatterPlotDriver: +class ScatterPlotDriver(BaseDriver): + + _params_class = ScatterPlotParams + _validations = validations + def __init__(self, params: ScatterPlotParams): + super().__init__(params) self.params: ScatterPlotParams = params def run(self): diff --git a/geoapps/utils/models.py b/geoapps/utils/models.py index c1fbf7a88..1292e4fce 100644 --- a/geoapps/utils/models.py +++ b/geoapps/utils/models.py @@ -8,6 +8,11 @@ from __future__ import annotations +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from discretize import TreeMesh + import numpy as np from discretize.utils import mesh_utils from geoh5py.groups import Group @@ -20,6 +25,26 @@ from geoapps.utils.surveys import compute_alongline_distance +def face_average(mesh: TreeMesh, model: np.ndarray) -> np.ndarray: + """ + Compute the average face values of a model + + :param mesh: Tree mesh object + :param model: A vector of cell centered property values + """ + return mesh.stencil_cell_gradient.T * (mesh.stencil_cell_gradient * model) + + +def floating_active(mesh: TreeMesh, active: np.ndarray): + """ + True if there are any active cells in the air + + :param mesh: Tree mesh object + :param active: active cells array + """ + return True if any(face_average(mesh, active) >= 6) else False + + def get_drape_model( workspace: Workspace, name: str, diff --git a/geoapps/utils/surveys.py b/geoapps/utils/surveys.py index b0e21c774..628e4bb91 100644 --- a/geoapps/utils/surveys.py +++ b/geoapps/utils/surveys.py @@ -6,9 +6,15 @@ # (see LICENSE file at the root of this source code package). from __future__ import annotations +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from geoapps.inversion.components.data import InversionData + from typing import Callable import numpy as np +from discretize import TensorMesh, TreeMesh from geoh5py.data import FloatData from geoh5py.objects import CurrentElectrode, PotentialElectrode from geoh5py.workspace import Workspace @@ -17,6 +23,35 @@ from geoapps.utils.statistics import is_outlier +def get_containing_cells( + mesh: TreeMesh | TensorMesh, data: InversionData +) -> np.ndarray: + """ + Find indices of cells that contain data locations + + :param mesh: Computational mesh object + :param data: Inversion data object + """ + if isinstance(mesh, TreeMesh): + + inds = mesh._get_containing_cell_indexes( # pylint: disable=protected-access + data.locations + ) + + elif isinstance(mesh, TensorMesh): + + locations = compute_alongline_distance(data.survey.unique_locations) + xi = np.searchsorted(mesh.nodes_x, locations[:, 0]) - 1 + yi = np.searchsorted(mesh.nodes_y, locations[:, -1]) - 1 + inds = xi + yi * mesh.shape_cells[0] + + else: + + raise ValueError("Mesh must be 'TreeMesh' or 'TensorMesh'") + + return inds + + def new_neighbors(distances: np.ndarray, neighbors: np.ndarray, nodes: list[int]): """ Index into neighbor arrays excluding zero distance and past neighbors. @@ -264,11 +299,15 @@ def extract_dcip_survey( name=f"{line_name} (currents)", vertices=current_locs, cells=np.array(current_cells, dtype=np.int32), + allow_delete=True, ) currents.add_default_ab_cell_id() potentials = PotentialElectrode.create( - workspace, name=line_name, vertices=survey_locs + workspace, + name=line_name, + vertices=survey_locs, + allow_delete=True, ) potentials.cells = np.array(survey_cells, dtype=np.int32) diff --git a/geoapps/utils/testing.py b/geoapps/utils/testing.py index 1567f15f7..12b0f887e 100644 --- a/geoapps/utils/testing.py +++ b/geoapps/utils/testing.py @@ -199,7 +199,9 @@ def setup_inversion_workspace( "Tyz (imag)", ], ) - survey.base_stations = TipperBaseStations.create(geoh5) + survey.base_stations = TipperBaseStations.create( + geoh5, vertices=np.c_[vertices[0, :]].T + ) survey.channels = [10.0, 100.0, 1000.0] dist = np.linalg.norm( survey.vertices[survey.cells[:, 0], :] @@ -223,7 +225,7 @@ def setup_inversion_workspace( locs = np.unique(np.vstack([ab_vertices, mn_vertices]), axis=0) lines = survey_lines(locs, [-100, -100]) - entity, mesh, permutation = get_drape_model( # pylint: disable=W0632 + entity, mesh, _ = get_drape_model( # pylint: disable=W0632 geoh5, "Models", locs[lines == 2], @@ -235,9 +237,7 @@ def setup_inversion_workspace( return_colocated_mesh=True, return_sorting=True, ) - active = active_from_xyz( - entity, topography.vertices, grid_reference="cell_centers" - ) + active = active_from_xyz(entity, topography.vertices, grid_reference="top") else: padDist = np.ones((3, 2)) * padding_distance @@ -257,18 +257,13 @@ def setup_inversion_workspace( finalize=True, ) entity = treemesh_2_octree(geoh5, mesh, name="mesh") - active = active_from_xyz(mesh, topography.vertices, grid_reference="top_nodes") - permutation = mesh._ubc_order # pylint: disable=W0212 + active = active_from_xyz(entity, topography.vertices, grid_reference="top") # Model if flatten: - if "2d" in inversion_type: - p0 = np.r_[80, -30] - p1 = np.r_[120, -70] - else: - p0 = np.r_[-20, -20, -30] - p1 = np.r_[20, 20, -70] + p0 = np.r_[-20, -20, -30] + p1 = np.r_[20, 20, -70] model = utils.model_builder.addBlock( mesh.gridCC, @@ -279,25 +274,19 @@ def setup_inversion_workspace( ) else: - if "2d" in inversion_type: - p0 = np.r_[80, -20] - p1 = np.r_[120, 25] - else: - p0 = np.r_[-20, -20, -20] - p1 = np.r_[20, 20, 25] + p0 = np.r_[-20, -20, -20] + p1 = np.r_[20, 20, 25] model = utils.model_builder.addBlock( - mesh.gridCC, + entity.centroids, background * np.ones(mesh.nC), p0, p1, anomaly, ) - model[ - ~(active[np.argsort(permutation)] if "2d" in inversion_type else active) - ] = np.nan - model = entity.add_data({"model": {"values": model[permutation]}}) + model[~active] = np.nan + model = entity.add_data({"model": {"values": model}}) return geoh5, entity, model, survey, topography @@ -318,8 +307,7 @@ def check_target(output: dict, target: dict, tolerance=0.1): / target["data_norm"], tolerance, ) - print(np.abs(output["phi_m"][1] - target["phi_m"]) / target["phi_m"]) - print(tolerance) + np.testing.assert_array_less( np.abs(output["phi_m"][1] - target["phi_m"]) / target["phi_m"], tolerance ) diff --git a/pyproject.toml b/pyproject.toml index 5f925f325..7884b29f0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "geoapps" -version = "0.9.0" +version = "0.9.1" description = "Open-sourced Applications in Geoscience" authors = ["Mira Geoscience "] repository = "https://github.com/MiraGeoscience/geoapps" @@ -68,7 +68,9 @@ zarr = "^2.8.1" # from simpgeg using Dask # while poetry2conda supports only { git = "...", tag = "..." }, and not { url = ... } geoh5py = { version = "0.5.0", source = "pypi" } simpeg_archive = {version = "0.9.1.dev5", source = "pypi"} -mira-simpeg = {version = "0.15.1dev6", source = "pypi"} +mira-simpeg = {version = "0.15.1dev7", source = "pypi"} +#mira-simpeg = {url = "https://github.com/MiraGeoscience/simpeg/archive/refs/heads/release/v0.15.1.dev7+geoapps.0.9.1.zip#sha256=None"} +param-sweeps = {version = "0.1.3", source = "pypi"} [tool.poetry.dev-dependencies] pylint = "^2.14.4" @@ -104,7 +106,7 @@ force_grid_wrap = 0 use_parentheses = true line_length = 88 # auto-updated by seed-isort-config -known_third_party = ["Add2Build", "SimPEG", "StringIO", "add_url_tag_sha256", "autodoc", "dash", "dash_daq", "dask", "discretize", "edit_on_github", "environmentSetup", "flask", "geoh5py", "ipywidgets", "jupyter_dash", "matplotlib", "numpy", "osgeo", "pandas", "plotly", "pymatsolver", "pytest", "requests", "run_conda_lock", "scipy", "simpeg_archive", "skimage", "sklearn", "toml", "tqdm", "traitlets", "urllib2"] +known_third_party = ["Add2Build", "SimPEG", "StringIO", "add_url_tag_sha256", "autodoc", "dash", "dash_daq", "dask", "discretize", "edit_on_github", "environmentSetup", "flask", "geoh5py", "ipywidgets", "jupyter_dash", "matplotlib", "numpy", "osgeo", "pandas", "param_sweeps", "plotly", "pymatsolver", "pytest", "requests", "run_conda_lock", "scipy", "simpeg_archive", "skimage", "sklearn", "toml", "tqdm", "traitlets", "urllib2"] [tool.black] # defaults are just fine diff --git a/tests/__init__.py b/tests/__init__.py index 0ea750a6d..181cdc8ab 100644 --- a/tests/__init__.py +++ b/tests/__init__.py @@ -12,7 +12,7 @@ PROJECT = "FlinFlon.geoh5" URL = ( - "https://github.com/MiraGeoscience/geoapps/raw/release/0.9.0/assets/FlinFlon.geoh5" + "https://github.com/MiraGeoscience/geoapps/raw/release/0.9.1/assets/FlinFlon.geoh5" ) # Todo - change this back to release branch if not os.path.isfile("FlinFlon.geoh5"): @@ -21,7 +21,7 @@ file.write(r.content) PROJECT_DCIP = "FlinFlon_dcip.geoh5" -URL = "https://github.com/MiraGeoscience/geoapps/raw/release/0.9.0/assets/FlinFlon_dcip.geoh5" +URL = "https://github.com/MiraGeoscience/geoapps/raw/release/0.9.1/assets/FlinFlon_dcip.geoh5" if not os.path.isfile("FlinFlon_dcip.geoh5"): r = requests.get(URL, timeout=5) diff --git a/tests/data_test.py b/tests/data_test.py index f8a9d41c7..97c1d374d 100644 --- a/tests/data_test.py +++ b/tests/data_test.py @@ -24,7 +24,7 @@ def setup_params(tmp): geotest = Geoh5Tester(geoh5, tmp, "test.geoh5", params_class=MagneticVectorParams) - geotest.set_param("mesh", "{385f341f-1027-4b8e-9a86-93be239aa3fb}") + geotest.set_param("mesh", "{a8f3b369-10bd-4ca8-8bd6-2d2595bddbdf}") geotest.set_param("data_object", "{538a7eb1-2218-4bec-98cc-0a759aa0ef4f}") geotest.set_param("topography_object", "{ab3c2083-6ea8-4d31-9230-7aad3ec09525}") geotest.set_param("tmi_channel", "{44822654-b6ae-45b0-8886-2d845f80f422}") @@ -295,5 +295,5 @@ def test_get_survey(tmp_path): locs = params.data_object.centroids window = {"center": [np.mean(locs[:, 0]), np.mean(locs[:, 1])], "size": [100, 100]} data = InversionData(ws, params, window) - survey, _ = data.survey() + survey, _ = data.create_survey() assert isinstance(survey, SimPEG.potential_fields.magnetics.Survey) diff --git a/tests/locations_test.py b/tests/locations_test.py index 2bda7ade5..6fcb5f0d5 100644 --- a/tests/locations_test.py +++ b/tests/locations_test.py @@ -20,7 +20,7 @@ def setup_params(tmp): geotest = Geoh5Tester(geoh5, tmp, "test.geoh5", MagneticVectorParams) - geotest.set_param("mesh", "{385f341f-1027-4b8e-9a86-93be239aa3fb}") + geotest.set_param("mesh", "{a8f3b369-10bd-4ca8-8bd6-2d2595bddbdf}") geotest.set_param("topography_object", "{ab3c2083-6ea8-4d31-9230-7aad3ec09525}") return geotest.make() diff --git a/tests/meshes_test.py b/tests/meshes_test.py index db7471b88..e39aa0f4e 100644 --- a/tests/meshes_test.py +++ b/tests/meshes_test.py @@ -23,7 +23,7 @@ def setup_params(tmp): geotest = Geoh5Tester(geoh5, tmp, "test.geoh5", MagneticVectorParams) - geotest.set_param("mesh", "{385f341f-1027-4b8e-9a86-93be239aa3fb}") + geotest.set_param("mesh", "{a8f3b369-10bd-4ca8-8bd6-2d2595bddbdf}") geotest.set_param("data_object", "{538a7eb1-2218-4bec-98cc-0a759aa0ef4f}") geotest.set_param("topography_object", "{ab3c2083-6ea8-4d31-9230-7aad3ec09525}") geotest.set_param("tmi_channel_bool", True) diff --git a/tests/models_test.py b/tests/models_test.py index a854e99ce..a2808c230 100644 --- a/tests/models_test.py +++ b/tests/models_test.py @@ -35,7 +35,7 @@ def setup_params(path): geotest.set_param("window_width", 1000.0) geotest.set_param("window_height", 1000.0) geotest.set_param("out_group", "MVIInversion") - geotest.set_param("mesh", "{385f341f-1027-4b8e-9a86-93be239aa3fb}") + geotest.set_param("mesh", "{a8f3b369-10bd-4ca8-8bd6-2d2595bddbdf}") geotest.set_param("topography_object", "{ab3c2083-6ea8-4d31-9230-7aad3ec09525}") geotest.set_param("topography", "{a603a762-f6cb-4b21-afda-3160e725bf7d}") geotest.set_param("starting_model", 1e-04) diff --git a/tests/params_test.py b/tests/params_test.py index a77376a98..23d53eb0c 100644 --- a/tests/params_test.py +++ b/tests/params_test.py @@ -346,8 +346,6 @@ def test_validate_topography(): mvi_params.topography_object = UUID("{ab3c2083-6ea8-4d31-9230-7aad3ec09525}") newval = UUID("{a603a762-f6cb-4b21-afda-3160e725bf7d}") param_test_generator(param, newval) - newval = 1234.0 - param_test_generator(param, newval) newval = UUID("{79b719bc-d996-4f52-9af0-10aa9c7bb941}") catch_invalid_generator(param, newval, "association") newval = "abc" @@ -795,6 +793,13 @@ def test_validate_out_group(): catch_invalid_generator(param, {}, "type") +def test_validate_distributed_workers(): + param = "distributed_workers" + newval = ["one", "two"] + param_test_generator(param, newval) + catch_invalid_generator(param, (), "type") + + def test_gravity_inversion_type(): with pytest.raises(ValueValidationError) as excinfo: grav_params.inversion_type = "alskdj" @@ -1769,7 +1774,7 @@ def test_bz_uncertainty(): def test_direct_current_inversion_type(): params = DirectCurrent3DParams() - params.inversion_type = "direct current" + params.inversion_type = "direct current 3d" with pytest.raises(ValueValidationError) as excinfo: params.inversion_type = "alskdj" @@ -1851,7 +1856,7 @@ def test_potential_uncertainty(): def test_induced_polarization_inversion_type(): params = InducedPolarization3DParams() - params.inversion_type = "induced polarization" + params.inversion_type = "induced polarization 3d" with pytest.raises(ValueValidationError) as excinfo: params.inversion_type = "alskdj" diff --git a/tests/run_tests/apps_inversion_test.py b/tests/run_tests/apps_inversion_test.py index a0c606060..cb76f905e 100644 --- a/tests/run_tests/apps_inversion_test.py +++ b/tests/run_tests/apps_inversion_test.py @@ -49,7 +49,7 @@ def test_mag_inversion(tmp_path): 0 ].copy(parent=new_geoh5) topo_val = new_topo.add_data({"elev": {"values": new_topo.vertices[:, 2]}}) - ws.get_entity(UUID("{385f341f-1027-4b8e-9a86-93be239aa3fb}"))[0].copy( + ws.get_entity(UUID("{a8f3b369-10bd-4ca8-8bd6-2d2595bddbdf}"))[0].copy( parent=new_geoh5 ) @@ -235,7 +235,7 @@ def test_ip_inversion(tmp_path): "z_from_topo": False, "forward_only": False, "mesh": UUID("{da109284-aa8c-4824-a647-29951109b058}"), - "inversion_type": "induced polarization", + "inversion_type": "induced polarization 3d", "chargeability_channel": UUID("502e7256-aafa-4016-969f-5cc3a4f27315"), "conductivity_model": UUID("d8846bc7-4c2f-4ced-bbf6-e0ebafd76826"), } diff --git a/tests/run_tests/apps_run_test.py b/tests/run_tests/apps_run_test.py index 3e08e1794..148b5a44e 100644 --- a/tests/run_tests/apps_run_test.py +++ b/tests/run_tests/apps_run_test.py @@ -154,7 +154,7 @@ def test_contour_values(tmp_path): with Workspace(get_output_workspace(tmp_path)) as workspace: output = workspace.get_entity("contours")[0] - assert output.n_vertices == 3000, "Change in output. Need to verify." + assert output.n_vertices == 2655, "Change in output. Need to verify." def test_create_surface(tmp_path): diff --git a/tests/run_tests/driver_dc_2d_test.py b/tests/run_tests/driver_dc_2d_test.py index c87de216e..aadb572bf 100644 --- a/tests/run_tests/driver_dc_2d_test.py +++ b/tests/run_tests/driver_dc_2d_test.py @@ -10,7 +10,9 @@ import numpy as np from geoh5py.workspace import Workspace -from geoapps.inversion.driver import InversionDriver, start_inversion +from geoapps.inversion.electricals.direct_current.two_dimensions.driver import ( + DirectCurrent2DDriver, +) from geoapps.inversion.electricals.direct_current.two_dimensions.params import ( DirectCurrent2DParams, ) @@ -22,9 +24,9 @@ # Move this file out of the test directory and run. target_run = { - "data_norm": 0.6624, - "phi_d": 875.7, - "phi_m": 2.502, + "data_norm": 0.6326, + "phi_d": 740, + "phi_m": 2.87, } np.random.seed(0) @@ -46,6 +48,7 @@ def test_dc_2d_fwr_run( n_lines=n_lines, refinement=refinement, inversion_type="dcip_2d", + drape_height=0.0, flatten=False, ) _ = survey_lines(survey, [-100, -100], save="line_ids") @@ -54,14 +57,14 @@ def test_dc_2d_fwr_run( geoh5=geoh5, mesh=model.parent.uid, topography_object=topography.uid, - z_from_topo=True, + z_from_topo=False, data_object=survey.uid, starting_model=model.uid, line_object=geoh5.get_entity("line_ids")[0].uid, line_id=2, ) params.workpath = tmp_path - fwr_driver = InversionDriver(params) + fwr_driver = DirectCurrent2DDriver(params) fwr_driver.run() return fwr_driver.starting_model @@ -107,7 +110,8 @@ def test_dc_2d_run(tmp_path, max_iterations=1, pytest=True): coolingRate=1, ) params.write_input_file(path=tmp_path, name="Inv_run") - driver = start_inversion(os.path.join(tmp_path, "Inv_run.ui.json")) + + driver = DirectCurrent2DDriver.start(os.path.join(tmp_path, "Inv_run.ui.json")) output = get_inversion_output( driver.params.geoh5.h5file, driver.params.ga_group.uid diff --git a/tests/run_tests/driver_dc_test.py b/tests/run_tests/driver_dc_test.py index 5d295b725..9d8cfdc4a 100644 --- a/tests/run_tests/driver_dc_test.py +++ b/tests/run_tests/driver_dc_test.py @@ -9,10 +9,12 @@ import numpy as np from geoh5py.workspace import Workspace -from geoapps.inversion.driver import InversionDriver, start_inversion from geoapps.inversion.electricals.direct_current.three_dimensions import ( DirectCurrent3DParams, ) +from geoapps.inversion.electricals.direct_current.three_dimensions.driver import ( + DirectCurrent3DDriver, +) from geoapps.shared_utils.utils import get_inversion_output from geoapps.utils.testing import check_target, setup_inversion_workspace @@ -20,9 +22,9 @@ # Move this file out of the test directory and run. target_run = { - "data_norm": 0.152097, - "phi_d": 5.578, - "phi_m": 110.1, + "data_norm": 0.14308, + "phi_d": 36.06, + "phi_m": 241.1, } np.random.seed(0) @@ -43,6 +45,7 @@ def test_dc_fwr_run( n_electrodes=n_electrodes, n_lines=n_lines, refinement=refinement, + drape_height=0.0, inversion_type="dcip", flatten=False, ) @@ -51,13 +54,13 @@ def test_dc_fwr_run( geoh5=geoh5, mesh=model.parent.uid, topography_object=topography.uid, - z_from_topo=True, + z_from_topo=False, data_object=survey.uid, starting_model=model.uid, resolution=None, ) params.workpath = tmp_path - fwr_driver = InversionDriver(params) + fwr_driver = DirectCurrent3DDriver(params) fwr_driver.run() return fwr_driver.starting_model @@ -76,7 +79,7 @@ def test_dc_run( with Workspace(workpath) as geoh5: potential = geoh5.get_entity("Iteration_0_dc")[0] mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("Topo")[0] + topography = geoh5.get_entity("topography")[0] # Run the inverse np.random.seed(0) @@ -93,21 +96,22 @@ def test_dc_run( z_norm=1.0, gradient_type="components", potential_channel_bool=True, - z_from_topo=True, + z_from_topo=False, potential_channel=potential.uid, potential_uncertainty=1e-3, max_global_iterations=max_iterations, initial_beta=None, - initial_beta_ratio=1e0, + initial_beta_ratio=10.0, prctile=100, upper_bound=10, tile_spatial=n_lines, store_sensitivities="ram", coolingRate=1, + chi_factor=0.5, ) params.write_input_file(path=tmp_path, name="Inv_run") - driver = start_inversion(os.path.join(tmp_path, "Inv_run.ui.json")) + driver = DirectCurrent3DDriver.start(os.path.join(tmp_path, "Inv_run.ui.json")) output = get_inversion_output( driver.params.geoh5.h5file, driver.params.ga_group.uid diff --git a/tests/run_tests/driver_grav_test.py b/tests/run_tests/driver_grav_test.py index 6f2499a21..120ce2303 100644 --- a/tests/run_tests/driver_grav_test.py +++ b/tests/run_tests/driver_grav_test.py @@ -10,8 +10,8 @@ import numpy as np from geoh5py.workspace import Workspace -from geoapps.inversion.driver import InversionDriver, start_inversion from geoapps.inversion.potential_fields import GravityParams +from geoapps.inversion.potential_fields.gravity.driver import GravityDriver from geoapps.shared_utils.utils import get_inversion_output from geoapps.utils.testing import check_target, setup_inversion_workspace @@ -51,7 +51,7 @@ def test_gravity_fwr_run( data_object=survey.uid, starting_model=model.uid, ) - fwr_driver = InversionDriver(params) + fwr_driver = GravityDriver(params) fwr_driver.run() return fwr_driver.starting_model @@ -70,7 +70,7 @@ def test_gravity_run( gz = geoh5.get_entity("Iteration_0_gz")[0] orig_gz = gz.values.copy() mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("Topo")[0] + topography = geoh5.get_entity("topography")[0] # Turn some values to nan values = gz.values.copy() @@ -104,7 +104,7 @@ def test_gravity_run( ) params.write_input_file(path=tmp_path, name="Inv_run") - driver = start_inversion(os.path.join(tmp_path, "Inv_run.ui.json")) + driver = GravityDriver.start(os.path.join(tmp_path, "Inv_run.ui.json")) with Workspace(driver.params.geoh5.h5file) as run_ws: output = get_inversion_output( diff --git a/tests/run_tests/driver_ip_2d_test.py b/tests/run_tests/driver_ip_2d_test.py index 2144c3454..9f9eb9b9b 100644 --- a/tests/run_tests/driver_ip_2d_test.py +++ b/tests/run_tests/driver_ip_2d_test.py @@ -10,10 +10,12 @@ import numpy as np from geoh5py.workspace import Workspace -from geoapps.inversion.driver import InversionDriver, start_inversion from geoapps.inversion.electricals.induced_polarization.two_dimensions import ( InducedPolarization2DParams, ) +from geoapps.inversion.electricals.induced_polarization.two_dimensions.driver import ( + InducedPolarization2DDriver, +) from geoapps.shared_utils.utils import get_inversion_output from geoapps.utils.surveys import survey_lines from geoapps.utils.testing import check_target, setup_inversion_workspace @@ -23,8 +25,8 @@ target_run = { "data_norm": 0.076613, - "phi_d": 4522, - "phi_m": 0.0375, + "phi_d": 3565, + "phi_m": 0.04174, } np.random.seed(0) @@ -46,6 +48,7 @@ def test_ip_2d_fwr_run( refinement=refinement, inversion_type="dcip_2d", flatten=False, + drape_height=0.0, ) _ = survey_lines(survey, [-100, -100], save="line_ids") params = InducedPolarization2DParams( @@ -61,7 +64,7 @@ def test_ip_2d_fwr_run( line_id=2, ) params.workpath = tmp_path - fwr_driver = InversionDriver(params) + fwr_driver = InducedPolarization2DDriver(params) fwr_driver.run() return fwr_driver.starting_model @@ -113,7 +116,9 @@ def test_ip_2d_run( coolingRate=1, ) params.write_input_file(path=tmp_path, name="Inv_run") - driver = start_inversion(os.path.join(tmp_path, "Inv_run.ui.json")) + driver = InducedPolarization2DDriver.start( + os.path.join(tmp_path, "Inv_run.ui.json") + ) output = get_inversion_output( driver.params.geoh5.h5file, driver.params.ga_group.uid diff --git a/tests/run_tests/driver_ip_test.py b/tests/run_tests/driver_ip_test.py index 0b9d78a2c..a08235252 100644 --- a/tests/run_tests/driver_ip_test.py +++ b/tests/run_tests/driver_ip_test.py @@ -10,10 +10,12 @@ import numpy as np from geoh5py.workspace import Workspace -from geoapps.inversion.driver import InversionDriver, start_inversion from geoapps.inversion.electricals.induced_polarization.three_dimensions import ( InducedPolarization3DParams, ) +from geoapps.inversion.electricals.induced_polarization.three_dimensions.driver import ( + InducedPolarization3DDriver, +) from geoapps.shared_utils.utils import get_inversion_output from geoapps.utils.testing import check_target, setup_inversion_workspace @@ -21,9 +23,9 @@ # Move this file out of the test directory and run. target_run = { - "data_norm": 0.007242, - "phi_d": 4.975, - "phi_m": 0.06144, + "data_norm": 0.00797, + "phi_d": 5.524, + "phi_m": 0.1174, } np.random.seed(0) @@ -43,6 +45,7 @@ def test_ip_fwr_run( n_electrodes=n_electrodes, n_lines=n_lines, refinement=refinement, + drape_height=0.0, inversion_type="dcip", flatten=False, ) @@ -57,7 +60,7 @@ def test_ip_fwr_run( conductivity_model=1e-2, ) params.workpath = tmp_path - fwr_driver = InversionDriver(params) + fwr_driver = InducedPolarization3DDriver(params) fwr_driver.run() return fwr_driver.starting_model @@ -95,7 +98,7 @@ def test_ip_run( z_norm=0.0, gradient_type="components", chargeability_channel_bool=True, - z_from_topo=True, + z_from_topo=False, chargeability_channel=potential.uid, chargeability_uncertainty=2e-4, max_global_iterations=max_iterations, @@ -108,7 +111,9 @@ def test_ip_run( coolingRate=1, ) params.write_input_file(path=tmp_path, name="Inv_run") - driver = start_inversion(os.path.join(tmp_path, "Inv_run.ui.json")) + driver = InducedPolarization3DDriver.start( + os.path.join(tmp_path, "Inv_run.ui.json") + ) output = get_inversion_output( driver.params.geoh5.h5file, driver.params.ga_group.uid @@ -124,14 +129,14 @@ def test_ip_run( if __name__ == "__main__": # Full run mstart = test_ip_fwr_run( - "../", + "./", n_electrodes=20, n_lines=5, refinement=(4, 8), ) m_rec = test_ip_run( - "../", + "./", n_lines=5, max_iterations=15, pytest=False, diff --git a/tests/run_tests/driver_mag_test.py b/tests/run_tests/driver_mag_test.py index 3cc68d5d7..a3d56ce97 100644 --- a/tests/run_tests/driver_mag_test.py +++ b/tests/run_tests/driver_mag_test.py @@ -10,8 +10,10 @@ import numpy as np from geoh5py.workspace import Workspace -from geoapps.inversion.driver import InversionDriver, start_inversion from geoapps.inversion.potential_fields import MagneticScalarParams +from geoapps.inversion.potential_fields.magnetic_scalar.driver import ( + MagneticScalarDriver, +) from geoapps.shared_utils.utils import get_inversion_output from geoapps.utils.testing import check_target, setup_inversion_workspace @@ -57,7 +59,7 @@ def test_susceptibility_fwr_run( ) params.workpath = tmp_path - fwr_driver = InversionDriver(params) + fwr_driver = MagneticScalarDriver(params) fwr_driver.run() return fwr_driver.starting_model @@ -78,7 +80,7 @@ def test_susceptibility_run( tmi = geoh5.get_entity("Iteration_0_tmi")[0] orig_tmi = tmi.values.copy() mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("Topo")[0] + topography = geoh5.get_entity("topography")[0] inducing_field = (50000.0, 90.0, 0.0) # Run the inverse @@ -109,7 +111,7 @@ def test_susceptibility_run( store_sensitivities="ram", ) params.write_input_file(path=tmp_path, name="Inv_run") - driver = start_inversion(os.path.join(tmp_path, "Inv_run.ui.json")) + driver = MagneticScalarDriver.start(os.path.join(tmp_path, "Inv_run.ui.json")) with Workspace(driver.params.geoh5.h5file) as run_ws: output = get_inversion_output( diff --git a/tests/run_tests/driver_mt_test.py b/tests/run_tests/driver_mt_test.py index cce1e5693..b9841ef93 100644 --- a/tests/run_tests/driver_mt_test.py +++ b/tests/run_tests/driver_mt_test.py @@ -11,7 +11,9 @@ import numpy as np from geoh5py.workspace import Workspace -from geoapps.inversion.driver import InversionDriver, start_inversion +from geoapps.inversion.natural_sources.magnetotellurics.driver import ( + MagnetotelluricsDriver, +) from geoapps.inversion.natural_sources.magnetotellurics.params import ( MagnetotelluricsParams, ) @@ -22,9 +24,9 @@ # Move this file out of the test directory and run. target_run = { - "data_norm": 0.00665, - "phi_d": 0.495, - "phi_m": 40.85, + "data_norm": 0.01577, + "phi_d": 12.04, + "phi_m": 0.2547, } np.random.seed(0) @@ -44,7 +46,7 @@ def test_magnetotellurics_fwr_run( refinement=refinement, drape_height=0.0, inversion_type="magnetotellurics", - flatten=True, + flatten=False, ) params = MagnetotelluricsParams( forward_only=True, @@ -66,8 +68,7 @@ def test_magnetotellurics_fwr_run( zyy_imag_channel_bool=True, ) params.workpath = tmp_path - fwr_driver = InversionDriver(params, warmstart=False) - + fwr_driver = MagnetotelluricsDriver(params, warmstart=False) fwr_driver.run() return fwr_driver.starting_model @@ -83,7 +84,7 @@ def test_magnetotellurics_run(tmp_path, max_iterations=1, pytest=True): with Workspace(workpath) as geoh5: survey = geoh5.get_entity("survey")[0] mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("Topo")[0] + topography = geoh5.get_entity("topography")[0] data = {} uncertainties = {} @@ -111,15 +112,14 @@ def test_magnetotellurics_run(tmp_path, max_iterations=1, pytest=True): uncert = survey.add_data( { f"uncertainty_{comp}_{freq:.2e}": { - "values": np.abs(0.05 * data_envity.values) - + data_envity.values.std() + "values": np.ones_like(data_envity.values) + * np.percentile(np.abs(data_envity.values), 10) } } ) uncertainties[f"{cname} uncertainties"].append( uncert.copy(parent=survey) ) - # uncertainties[f"{cname} uncertainties"][freq] = {"values": u.copy(parent=survey)} survey.add_components_data(data) survey.add_components_data(uncertainties) @@ -140,8 +140,8 @@ def test_magnetotellurics_run(tmp_path, max_iterations=1, pytest=True): resolution=0.0, data_object=survey.uid, starting_model=0.01, - reference_model=None, - s_norm=0.0, + reference_model=0.01, + s_norm=1.0, x_norm=1.0, y_norm=1.0, z_norm=1.0, @@ -150,14 +150,13 @@ def test_magnetotellurics_run(tmp_path, max_iterations=1, pytest=True): upper_bound=0.75, conductivity_model=1e-2, max_global_iterations=max_iterations, - initial_beta_ratio=1e-2, + initial_beta_ratio=1e2, prctile=100, store_sensitivities="ram", **data_kwargs, ) - params.workpath = tmp_path - driver = InversionDriver(params) - driver.run() + params.write_input_file(path=tmp_path, name="Inv_run") + driver = MagnetotelluricsDriver.start(os.path.join(tmp_path, "Inv_run.ui.json")) with geoh5.open() as run_ws: output = get_inversion_output( @@ -187,7 +186,7 @@ def test_magnetotellurics_run(tmp_path, max_iterations=1, pytest=True): **data_kwargs, ) params.write_input_file(path=tmp_path, name="Inv_run") - driver = start_inversion(os.path.join(tmp_path, "Inv_run.ui.json")) + driver = MagnetotelluricsDriver.start(os.path.join(tmp_path, "Inv_run.ui.json")) return driver diff --git a/tests/run_tests/driver_mvi_test.py b/tests/run_tests/driver_mvi_test.py index 731b42ecd..13b22f9e0 100644 --- a/tests/run_tests/driver_mvi_test.py +++ b/tests/run_tests/driver_mvi_test.py @@ -12,8 +12,10 @@ from geoh5py.workspace import Workspace from SimPEG import utils -from geoapps.inversion.driver import InversionDriver, start_inversion from geoapps.inversion.potential_fields import MagneticVectorParams +from geoapps.inversion.potential_fields.magnetic_vector.driver import ( + MagneticVectorDriver, +) from geoapps.shared_utils.utils import get_inversion_output from geoapps.utils.testing import check_target, setup_inversion_workspace @@ -64,7 +66,7 @@ def test_magnetic_vector_fwr_run( starting_inclination=45, starting_declination=270, ) - fwr_driver = InversionDriver(params) + fwr_driver = MagneticVectorDriver(params) fwr_driver.run() return fwr_driver.starting_model @@ -85,7 +87,7 @@ def test_magnetic_vector_run( tmi = geoh5.get_entity("Iteration_0_tmi")[0] orig_tmi = tmi.values.copy() mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("Topo")[0] + topography = geoh5.get_entity("topography")[0] inducing_field = (50000.0, 90.0, 0.0) # Run the inverse @@ -115,7 +117,7 @@ def test_magnetic_vector_run( prctile=100, ) params.write_input_file(path=tmp_path, name="Inv_run") - driver = start_inversion(os.path.join(tmp_path, "Inv_run.ui.json")) + driver = MagneticVectorDriver.start(os.path.join(tmp_path, "Inv_run.ui.json")) with Workspace(driver.params.geoh5.h5file) as run_ws: diff --git a/tests/run_tests/driver_tipper_test.py b/tests/run_tests/driver_tipper_test.py index 1c7e4888e..92b65cd0b 100644 --- a/tests/run_tests/driver_tipper_test.py +++ b/tests/run_tests/driver_tipper_test.py @@ -10,8 +10,8 @@ import numpy as np from geoh5py.workspace import Workspace -from geoapps.inversion.driver import InversionDriver, start_inversion from geoapps.inversion.natural_sources import TipperParams +from geoapps.inversion.natural_sources.tipper.driver import TipperDriver from geoapps.shared_utils.utils import get_inversion_output from geoapps.utils.testing import check_target, setup_inversion_workspace @@ -19,9 +19,9 @@ # Move this file out of the test directory and run. target_run = { - "data_norm": 0.003829, - "phi_d": 0.02935, - "phi_m": 541.2, + "data_norm": 0.00877, + "phi_d": 2.396, + "phi_m": 0.3094, } np.random.seed(0) @@ -42,7 +42,7 @@ def test_tipper_fwr_run( refinement=refinement, inversion_type="tipper", drape_height=15.0, - flatten=True, + flatten=False, ) params = TipperParams( forward_only=True, @@ -60,7 +60,7 @@ def test_tipper_fwr_run( tyz_imag_channel_bool=True, ) params.workpath = tmp_path - fwr_driver = InversionDriver(params, warmstart=False) + fwr_driver = TipperDriver(params, warmstart=False) fwr_driver.run() return fwr_driver.starting_model @@ -74,7 +74,7 @@ def test_tipper_run(tmp_path, max_iterations=1, pytest=True): with Workspace(workpath) as geoh5: survey = geoh5.get_entity("survey")[0] mesh = geoh5.get_entity("mesh")[0] - topography = geoh5.get_entity("Topo")[0] + topography = geoh5.get_entity("topography")[0] data = {} uncertainties = {} @@ -89,20 +89,20 @@ def test_tipper_run(tmp_path, max_iterations=1, pytest=True): data[cname] = [] uncertainties[f"{cname} uncertainties"] = [] for freq in survey.channels: - d = geoh5.get_entity(f"Iteration_0_{comp}_{freq:.2e}")[0].copy( - parent=survey - ) - data[cname].append(d) + data_entity = geoh5.get_entity(f"Iteration_0_{comp}_{freq:.2e}")[ + 0 + ].copy(parent=survey) + data[cname].append(data_entity) - u = survey.add_data( + uncert = survey.add_data( { f"uncertainty_{comp}_{freq:.2e}": { - "values": np.ones_like(d.values) - * np.percentile(np.abs(d.values), 20) + "values": np.ones_like(data_entity.values) + * np.percentile(np.abs(data_entity.values), 10) } } ) - uncertainties[f"{cname} uncertainties"].append(u) + uncertainties[f"{cname} uncertainties"].append(uncert) # uncertainties[f"{cname} uncertainties"][freq] = {"values": u.copy(parent=survey)} survey.add_components_data(data) @@ -135,14 +135,14 @@ def test_tipper_run(tmp_path, max_iterations=1, pytest=True): z_from_topo=False, upper_bound=0.75, max_global_iterations=max_iterations, - initial_beta_ratio=1e0, + initial_beta_ratio=1e4, sens_wts_threshold=60.0, prctile=100, store_sensitivities="ram", **data_kwargs, ) params.write_input_file(path=tmp_path, name="Inv_run") - driver = start_inversion(os.path.join(tmp_path, "Inv_run.ui.json")) + driver = TipperDriver.start(os.path.join(tmp_path, "Inv_run.ui.json")) with geoh5.open() as run_ws: output = get_inversion_output( diff --git a/tests/topography_test.py b/tests/topography_test.py index 26f9157d9..544d3aaf6 100644 --- a/tests/topography_test.py +++ b/tests/topography_test.py @@ -22,7 +22,7 @@ def setup_params(tmp): geotest = Geoh5Tester(geoh5, tmp, "test.geoh5", MagneticVectorParams) - geotest.set_param("mesh", "{385f341f-1027-4b8e-9a86-93be239aa3fb}") + geotest.set_param("mesh", "{a8f3b369-10bd-4ca8-8bd6-2d2595bddbdf}") geotest.set_param("data_object", "{538a7eb1-2218-4bec-98cc-0a759aa0ef4f}") geotest.set_param("tmi_channel_bool", True) geotest.set_param("tmi_channel", "{44822654-b6ae-45b0-8886-2d845f80f422}") diff --git a/tests/utils_test.py b/tests/utils_test.py index 43bafc64a..00e5f33fc 100644 --- a/tests/utils_test.py +++ b/tests/utils_test.py @@ -38,7 +38,12 @@ ) from geoapps.utils import warn_module_not_found from geoapps.utils.list import find_value, sorted_alphanumeric_list -from geoapps.utils.models import RectangularBlock, get_drape_model +from geoapps.utils.models import ( + RectangularBlock, + face_average, + floating_active, + get_drape_model, +) from geoapps.utils.statistics import is_outlier from geoapps.utils.string import string_to_numeric from geoapps.utils.surveys import ( @@ -57,6 +62,34 @@ dc_geoh5 = "./FlinFlon_dcip.geoh5" +def test_face_average(tmp_path): + geotest = Geoh5Tester(geoh5, tmp_path, "test.geoh5") + with geotest.make(): + mesh = TreeMesh([[10] * 16, [10] * 16, [10] * 16], [0, 0, 0]) + mesh.insert_cells([100, 100, 100], mesh.max_level, finalize=True) + centers = mesh.cell_centers + active = np.zeros_like(centers[:, 2]) + active[centers[:, 2] < 75] = 1 + face_avs = face_average(mesh, active) + assert np.all(face_avs < 6) + active[49] = 1 + face_avs = face_average(mesh, active) + assert np.sum(face_avs == 6) == 1 + + +def test_floating_active(tmp_path): + geotest = Geoh5Tester(geoh5, tmp_path, "test.geoh5") + with geotest.make(): + mesh = TreeMesh([[10] * 16, [10] * 16, [10] * 16], [0, 0, 0]) + mesh.insert_cells([100, 100, 100], mesh.max_level, finalize=True) + centers = mesh.cell_centers + active = np.zeros_like(centers[:, 2]) + active[centers[:, 2] < 75] = 1 + assert not floating_active(mesh, active) + active[49] = 1 + assert floating_active(mesh, active) + + def test_get_drape_model(tmp_path): ws = Workspace(os.path.join(tmp_path, "test.geoh5")) x = np.arange(11) @@ -168,7 +201,6 @@ def test_new_neighbors(): def test_survey_lines(tmp_path): - name = "TestCurrents" n_data = 15 path = tmp_path / r"testDC.geoh5" @@ -214,7 +246,6 @@ def test_survey_lines(tmp_path): def test_extract_dcip_survey(tmp_path): - name = "TestCurrents" n_data = 12 path = tmp_path / r"testDC.geoh5" @@ -258,7 +289,6 @@ def test_extract_dcip_survey(tmp_path): def test_split_dcip_survey(tmp_path): - name = "TestCurrents" n_data = 12 path = tmp_path / r"testDC.geoh5"