chore(deps): update dependency kfp to v2.10.1 #62

renovate · 2024-02-25T12:39:58Z

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
kfp (changelog)	`==2.5.0` -> `==2.10.1`
kfp (changelog)	`==1.8.22` -> `==2.10.1`

Release Notes

kubeflow/pipelines (kfp)

`v2.3.0`

Compare Source

Features

api: Add new ResourceSpec proto fields to support dynamic values. (#11075) (83dcf1a)
backend: mount EmptyDir volumes for launcher write locations (#10857) (65839ce)
backend: move comp logic to workflow params (#10979) (0e37fd6)
Backend + SDK: Update kfp backend and kubernetes sdk to support EmptyDir (#10913) (7506a8e)
component: internal (383cbcd)
component: internal (8041ea8)
component: internal (c06d9ae)
component: internal (ad03bb6)
components: Add role_field_name and model_name as input parameters to llm_evaluation_preprocessor component to support gemini model's input and output schema (de346d5)
components: Add Starry Net forecasting pipeline to public preview (3a0566e)
components: create infer preprocessor component (e9d6876)
components: Create the write_user_defined_error function (454a654)
components: create utility class for preprocessors and use it in rlhf preprocessor and infer preprocessor (cd16a33)
components: internal (e8f0208)
components: internal (6f62203)
components: internal (2eb9bec)
components: internal (c6f658b)
components: internal (e128bdb)
components: internal (abe5257)
components: internal (522b593)
components: internal (461d892)
components: release LLM Model Evaluation image version v0.7 (4f36fe3)
components: Retry on batch prediction internal errors in AutoSxS (5d9f4ab)
components: Support dynamic machine parameters in preview.custom_job.utils.create_custom_training_job_from_component (e44dfa7)
components: Support dynamic machine type paramters in CustomTrainingJobOp (#10883) (b57f9e8)
components: Support dynamic values for boot_disk_type, boot_disk_size in preview.custom_job.utils.create_custom_training_job_from_component (7b7918e)
components: Support parsing Gemini BP outputs in AutoSxS pipeline (b4f91a3)
components: Update Starry Net image tags (bf5104f)
components: Use GetModel integration test to manually test write_user_defined_error function (609c637)
components: use preprocessor utility methods for the upload model graph (7908ed6)
frontend&backend: Add UI support for object store customization and prefixes (#10787) (6723d3d)
GH workflow: migrate periodic functional tests to GH actions (#10751) (c4d7ec3)
internal: Adding proto field to support regional quota (c8f08ba)
kubernetes_platform: Add empty dir mount (#10892) (10aaf43)
kubernetes_platform: Update kubernetes_platform go package to include EnabledSharedMemory (#10703) (7c63599)

Bug Fixes

components: add check and add log to call out the fallback to the default model checkpoint and remove the model checkpoint check condition in RLHF GCPC (92c3178)
components: Add input param autorater_prompt_parameters to online_evaluation_pairwise component (cf7450b)
components: Add staging and temp locations to prophet trainer component (00440f7)
components: Fix to model batch explanation component for Structured Data pipelines (289f64f)
components: Pass moddel name to eval_runner to process batch prediction's output as per the output schema of model used (0d3e79a)
components: Remove unused import function_based from infer pipeline (e369bd3)
components: Use instance.target_field_name format for text-bison models only, use target_field_name for gemini models (1a07ffa)
docs: add note about protoc dependency and version (#10895) (d911c8b)
docs: IR -> Pipeline Spec (#11031) (1e95eb6)
frontend: fixes filter pipeline text box shows error when typing anything in it. Fixes #10241 (#11096) (51d2c92)
frontend: reduce list run latency (#10797) (768ece4)
frontend: retrieve archived logs from correct location (#11010) (2e6e634)
sdk: Add required auth scopes to RegistryClient for GCP service accounts credentials (#10819) (04b4cad)
sdk: Kfp support for pip trusted host (#11151) (3efa029)
ui: fixes empty string value in pipeline parameters (#11175) (e9c77ec)
Basic sample tests - sequential is flaky (#11138) (e1d172b)
Incorrect typing in samples/cores/loop_parallism and fixing loop_parameter examples (#11062) (1612dac)
re-enable exit hanler test. (#11100) (000ef60)
kubernetes_platform: fix api-generator docker mount for SELinux (#10890) (e69078b)
manifests: Move metacontroller to the top in kustmization.yaml (#10669) (4e9fe75)
sdk: Throw 'exit_task cannot depend on any other tasks.' error when an ExitHandler has a parameter dependent on other task (#11005) (08185e7)

Other Pull Requests

fix: reduce executor logs (#11169) (d64554b)
correct artifact preview behavior in UI (#11059) (2c91fb7)
docs:fixing broken links in readme (#11108) (a3adf94)
Fix view edit cluster roles (#11067) (43cdc20)
add dev docs for kfp/sdk (#11046) (eea7d48)
No public description (e3a4980)
Upgrade go version to 1.21 (#10911) (bdc3bb1)
Expose starry_net yaml to GitHub (#10943) (f1e2314)

`v2.2.0`

Features

backend: add namespace & prefix scoped credentials to kfp-launcher config for object store paths (#10625) (5e0f9b1)
backend: Merge kfp-tekton backend code (#10678) (60a443e)
backend: Upgrade argo to v3.4.16 (#10568) (809d576)
components: Add model name preprocess component; Use publisher model if user uploaded model is non-tuned (084f2c2)
components: add resolve_machine_spec and resolve_refined_image_uri to rlhf_preprocessor component (2a8d39e)
components: add resolve_reference_model_metadata to rlhf_preprocessor component (92a7969)
components: add task_type as a parameter to rlaif (64d288a)
components: Added support for text-bison@002 to preview.llm.rlhf_pipeline (2f27751)
components: AutoSxS GA pending release (aee464c)
components: Expand regions supported by preview.llm.rlhf_pipeline (22a98d9)
components: internal (a4f01b7)
components: Introduce placeholders: SERVICE_ACCOUNT_PLACEHOLDER, NETWORK_PLACEHOLDER, PERSISTENT_RESOURCE_ID_PLACEHOLDER and ENCYRPTION_SPEC_KMS_KEY_NAME_PLACEHOLDER. In addition, use PERSISTENT_RESOURCE_ID_PLACEHOLDER as the default value of persistent_resource_id for CustomTrainingJobOp and create_custom_training_job_op_from_component. With this change, custom job created without explicitly setting persistent_resource_id will inherit job level persistent_resource_id, if Persistent Resource is set as job level runtime (67d3cd6)
components: migrate function_based convert_to_delimited_string to rlhf_preprocessor component (efefe34)
components: migrate function_based resolve_num_microbatches to rlhf_preprocessor component (ee28c72)
components: migrate function_based resolve_regional_endpoint to rlhf_preprocessor component (f175c71)
components: Move AutoSxS pipeline to v1 directory (d919ae7)
components: Move ModelImportEvaluationOp component to preview namespace (33db128)
components: Report TensorBoard metrics for preview.llm.rlhf_pipeline in real time (3d8069b)
components: Use larger base reward model when tuning t5-xxl with the preview.llm.rlhf_pipeline (ff7f660)
components: Use larger base reward model when tuning text and chat variants of bison@001 with the preview.llm.rlhf_pipeline (ac39931)
components: use rlhf_preprocessor to replace the current value_exists call in rlhf (c967d9f)
kubernetes_platform: Update kubernetes_platform go package to include generic ephemerl volume (#10602) (2fc1492)
kubernetes_platform: Update kubernetes_platform go package to include node affinities and pod (anti)affinities (#10583) (4f8cae2)
sdk+backend: Add support for generic ephemeral volume (#10605) (3fb76a8)

Bug Fixes

backend: Update backend common code and integration tests with updated API Service Params (#10640) (8b2a099)
Backend + SDK: Add missing optional field to SecretAsVolume and … (#10550) (a78dc77)
components: Ensure preview.llm.rlhf_pipeline runs if no tensorboard_id is provided (ff0d0a7)
components: Fix image version parameter in rl pipelines (cef6e51)
components: Fix model eval import error in text generation/classification eval pipeline (7630f85)
components: Make AutoSxS autorater_prompt_parameters required (df20088)
components: remove default prediction column names in evaluation classification component to fix incorrect column names for bigquery data source (54f2e45)
components: Remove the unused functions from function_based (e052dc8)
components: Remove the unused generate_default_instruction and resolve_upload_location from function_based (e9d8764)
components: Remove the unused resolve_data_paths from function_based (c386913)
components: Update service account comment (bf444ac)
metadata envoy: upgrade envoy and config from 1.12 to 1.27 (#10589) (96aaad9)

Other Pull Requests

No public description (cab99f7)
No public description (79d0a5c)
Update loop_output.py example for the new parallel loop type requirement (#10637) (afddae9)

`v2.0.1`

Compare Source

`v2.0.0`

Compare Source

⚠ BREAKING CHANGES

SDK: SDK client v2beta1 API integration. Fixes #8706 (#9112)
sdk: Implement Graph Component (#8179)
sdk: make CLI output consistent, readable, and usable (#7739)
sdk: promote v2 compiler command and deprecate v1 command (#7508)
sdk: Support submitting pipeline IR in yaml format via kfp.client (#7458)
sdk: use yaml for IR package (#7431)
sdk: rename commands, arguments parameters to command, args (#7391)
sdk: throw error for output_component_file (#7390)
sdk: move v2 to main namespace (#7376)
sdk: move v1 to deprecated folder (#7291)
sdk: drop support for python 3.6 (#7303)
Use Argo Emissary Executor instead of Docker by default. Partial #5718 (#7137)
sdk.v2: Block task dependency referencing tasks inside a sibling condition or loop group. (#7050)
sdk: Deprecate V2 compatible mode in v1 compiler (#6958)
sdk.v2: Merge v2 experimental change back to v2 namespace (#6890)

Features

backend: Add nodeSelector support. Closes #8959. (#9132) (276f922)
backend: add parameter verification before submitting the workflow (#9228) (52c4c6f)
backend: add schema version check (#9447) (08494a2)
backend: add support for resource requests. Closes #7047. Closes #6354. (#9088) (37dac45)
backend: avoid downcast and use ExecutionSpec if possible (#9232) (6c72d95)
backend: Implement aws-go-sdk crendentials to support IRSA for s3 in V2 (#9502) (8a3215e)
backend: support pvc creation, deletion and mount; fixes #8708 (#9106) (761a592)
backend: support secrets (#9178) (b8caf81)
backend: updates compiler to include kubernetes-specific specs in argo workflow (#9059) (a3e795a)
component: Adds Vertex Pipelines prompt validation component (249f235)
components: add a check for model garden models and skip eval import (1782ee2)
components: Add a remote runner for pipelines (274ac8b)
components: Add force_dircet_runner flag to pipeline options (f167e15)
components: Add instructions for formatting BiasConfig input proto using json_format in Model & Data bias component (3a89044)
components: Add logic in import_model_evaluation to accept explanations from slices (4397b8c)
components: Add machine type and encryption key for Error Analysis Component (0293fe1)
components: Add machine type for Feature Extractor component. Deprecate Dataflow-related inputs (4e85352)
components: add preview directory to GCPC (b167f87)
components: Add slicing_specs input to classification evaluation (6a55449)
components: Add utility function for constructing the serverless custom job launcher spec (6fb10f3)
components: Allow batch predict component to add missing bq:// schemes (8cc0550)
components: Allow importing LLM eval metrics (ecc4ae0)
components: Change ResolveVertexModelOp name to GetVertexModelOp (6a916e8)
components: Create ResolveVertexModelOp component (595ae8e)
components: Define Data Bias component for detecting data bias metrics (7ab5d97)
components: Define Model Bias component for detecting model bias metrics (7022007)
components: Derive image tag from Eval container version. Align Eval image version for all Eval components in GCPC (63936c0)
components: Fix batch prediction job proto bigquery payload sanitization (a7b8fd0)
components: Import user slices to the model evaluation importer (8c9b716)
components: make GCPC artifacts usable in KFP Python components (6104ff6)
components: Move model eval components (48668bc)
components: Move model evaluation components to v1 (f2ad300)
components: Move model evaluation feature attribution component to preview namespace (dc6f431)
components: Provide model evaluation pipelines (9ce827e)
components: Release the Seq2Seq and Temporal Fusion Transformer pipelines (377b961)
components: Remove experimental evaluation components (69ea826)
components: Remove GetVertexModelOp, to add to preview later (85f6969)
components: Sagemaker V2 Hosting components and tests (#9243) (4818e84)
components: SageMaker V2 model monitor component and testing (#9253) (07e67bb)
components: SageMaker V2 model monitor component release (#9368) (29444f9)
components: Support Instance Config in kubeflow model_batch_predict component (3166418)
components: Support model garden models in GetVertexModelOp (0b32899)
components: Update eval component with the latest GCPC container image version (a3418b3)
components: Update GCPC image version in two Eval importer components (1f4d943)
components: Update import_model_evaluation so models with 100+ labels will not import confusion matrices at every threshold (cb7d9a8)
frontend: make container name configurable (#9433) (bb9dc67)
sdk: support compiling components with dsl.PipelineTaskFinalStatus type (#9082) (7890227)
sdk: support extracting input/output descriptions from component/pipeline docstrings (#9156) (946c51b)
sdk: support indexing into top-level artifact metadata in Container Components (#9131) (5828632)
sdk: Support PIPELINE_ROOT_PLACEHOLDER (#9134) (5e98b3b)
sdk: Support setting cpu/memory requests. (#9121) (a6ef77b)
sdk: Support submitting pipeline with platform config. (#9140) (952e073)
sdk: support writing TASK_FINAL_STATUS parameter type (#9080) (c01288d)
SDK: SDK client v2beta1 API integration. Fixes #8706 (#9112) (07d6c18)
Add cpu_request and memory_request in pipeline_spec. (#9063) (d2db64b)
add TASK_FINAL_STATUS to PipelineSpec ParameterTypeEnum (#9061) (902e2a9)
API: Update IR go package (#8614) (c30648a)
backend: add run support for v2 api (#8647) (d524464)
backend: add support for "finished_at" and others in filter. Fixes #8654 (#8662) (6ee7677)
backend: Add support for converting v2 recurring run to scheduled workflow in template (#8521) (7e7e1af)
backend: add support for environment variables. Fixes #8704 (#8886) (faca1e5)
backend: Add support for recurring run v2 api (#8634) (d0f0ab3)
backend: Make cache-server webhook port number configurable (#8401) (3824c5b)
backend: Refactor apiserver, add Pipeline and other v2beta services (#8633) (135dc64)
backend: support optional and default parameters. Fixes #8716 (#8765) (89bdac9)
backend: support yaml with platform-specific specs (#8983) (a9ead5a)
component: add evaluation_importer_gcp_resources to evaluated annotation importer component (d17916f)
component: change Error Analysis component to use CustomJob launcher (fd67277)
component: change Feature Extractor component to use CustomJob launcher (a725192)
component: Create component definition for GetVertexDataset (2d29137)
component: Create YAML definition for Feature Extractor Error Analysis component (e7c1a16)
component: define ImportEvaluatedAnnotation component (8c9fdee)
component: init container backend for evaluated annotation importer (74b86dc)
component: Merge annotation and error analysis in evaluated annotation importer (10e7c55)
component: Update input args in dataset preprocessor and evaluated annotation (9a32f76)
components: Add data-filter-split feature back to the ImageTrainingJOb component which was removed previously (4a4a968)
components: Add components for natural language: training TFHub model and preprocessing component for batch prediction (60b2d5f)
components: Add logs to Batch Prediction creation process (b3de27a)
components: Create GCPC v2 beta (834d966)
components: Create new component YAML definition for computing error analysis annotations (b7d03cb)
components: Create new component YAML definition for computing evaluated annotations (fe38716)
components: Create new component YAML definition for Evaluation Dataset Preprocessor Error Analysis (6800d21)
components: Dataflow Flex Template component (6101ff1)
components: Delete tfp_anomaly_detection (f2537d4)
components: Import model evaluation slices 50 at a time (39e4c36)
components: Propagate cost labels of GCP resources (7466803)
components: Update evaluation components to v0.9 and add input for quantile forecasting (74237dc)
components: update EvaluationDatasetPreprocessorOp to use KFP v2 Python definition (deed177)
sdk: add experiment_id parameter to create run methods (#9004) (3e1f3c6)
add kubernetes platform-specific protos, generated Go code, and Python package (#8888) (a4abf27)
add NodeSelector message to kfp-kubernetes proto (#8981) (cd15b7a)
add platform-specific configuration protos to kfp-pipeline-spec package (#8896) (643f421)
implement kfp-kubernetes library (#8950) (0c11cce)
support nodeSelector in kfp-kubernetes (#8982) (c8cb5b5)
backend: Add ExecutionClient to access ExecutionSpec (#8050) (e8abec2)
backend: Add v2 api for experiments (#8480) (6e364d3)
backend: authorize readArtifacts and ReportMetrics endpoints (#7819) (1caa8e0)
backend: Expand ExecutionSpec Interface (#7766) (06c9310)
backend: fix partner_id in GCP Marketplace application (#8426) (3fca792)
backend: Implement RuntimeConfig in backend (#8085) (2b556ec)
backend: Implement RuntimeConfig in backend for jobs(RecurringRun) (#8152) (f25127f)
backend: Include namespace in Pipeline API model. Part of #4197 (#8375) (7c114a0)
backend: update minio-go to support irsa (#7946) (7923ba3)
backend: Upload namespaced pipeline definitions. Part of #4197 (#8511) (931c14a)
cloud: Update JSON templates for evaluation (88a2b80)
components: Add DataprocBatch resource to gcp_resources output parameter (6e95e89)
components: Add display name to import model evaluation component (9b12f6e)
components: Add evaluation forecasting default of 0.5 for quantiles (21b8479)
components: Add Infra Validation remote runner (a06a4e6)
components: add KServe component flag to disable storing CRD status into output parameters (#8393) (24f8651)
components: Add metadata field for pipeline resource name (82bf1ec)
components: Add model input to vertex ai model evaluation component (35b13b3)
components: add namespace to pvc creation (#8147) (031a7d9)
components: Add nargs to allow for empty string input by component (555447f)
components: Add special case in json_util.py where explanation_spec metadata outputs can have empty values (b8b77fd)
components: Add text classification data processing component and training component (9675870)
components: Add vertex_notification_email component on v1 folder (3b1bd08)
components: Added BigQuery input support to evaluation components (bfa2dc6)
components: Allow dataset paths list (5d06871)
components: Create new tensorboard experiment creator component (a3c7c38)
components: Give evaluation preprocessing components unique dataflow job names (c052bf8)
components: Import model evaluation slices when available in the metrics (0d304c6)
components: Internal change (bf21b7b)
components: Introducing AWS SageMaker TrainingJob component v2 in Preview (#8158) (f162b24)
components: Model Evaluation, rename EvaluationDataSplitterOp to TargetFieldDataRemoverOp, rename ground_truth_column to target_field, rename class_names to class_labels, and remove key_columns input (71c8e77)
components: New sagemaker training job parameters (#8538) (6a6cfdb)
components: propagates vertex system labels to the downstream resources (batch prediction job) (4410bf2)
components: propagates vertex system labels to the downstream resources (bigquery job) (a506da6)
components: propagates vertex system labels to the downstream resources (custom job) (69e1e4b)
components: propagates vertex system labels to the downstream resources (dataflow python job) (4c2797e)
components: propagates vertex system labels to the downstream resources (dataproc) (7fe4319)
components: propagates vertex system labels to the downstream resources (Vertex AI Datasets) (9d9a8bb)
components: propagates vertex system labels to the downstream resources (Vertex AI Endpoints) (f37086b)
components: propagates vertex system labels to the downstream resources (Vertex AI HyperParameter Tuning Job) (cdd0626)
components: propagates vertex system labels to the downstream resources (Vertex AI Model Registry) (56edebb)
components: release Structured Data team's updated components and pipelines (b9a0499)
components: release Structured Data team's updated components and pipelines (bd1538d)
components: Release Structured Data team's updated components and pipelines (73034a9)
components: Separate feature attribution from evaluation component to its own component (f9cf42a)
components: Split evaluation component into classification, forecasting, and regression evaluation & create artifact types for google.__Metrics (8c74612)
components: Support serving default in bq export model job op (582576f)
components: Support uploading for model versions for ModelUploadOp (94bdce8)
components: Sync gcpc staging code to prod (01c9ed9)
components: Sync GCPC staging to prod to include AutoML model comparison (06761b9)
components: Update AutoML Tables components to have latest SDK features (49fdac6)
components: Update dataset_preprocessor component inputs (399b7be)
components: Update evaluation container to v0.5 for data sampler and splitter preprocessing components (37ff321)
components: Update evaluation container to v0.8.1 image (8d87bec)
components: Update import_model_evaluation component to accept new google.___Metrics artifact types (8eb61ad)
components: Update regression and f

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renovate · 2024-07-12T07:38:56Z

⚠️ Artifact update problem

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The artifact failure details are included below:

File name: tests/notebooks/cpu/kfp_v1/requirements.txt

Command failed: pip-compile requirements.in
  ERROR: Ignored the following yanked versions: 0.3.0, 1.6.0, 2.0.0a4, 2.0.0b0, 2.0.0b2, 2.0.0b7, 2.0.0b10, 2.1.1, 2.1.2
  ERROR: Ignored the following versions that require a different python version: 2.10.0 Requires-Python <3.13.0,>=3.9.0; 2.10.1 Requires-Python >=3.9.0
  ERROR: Could not find a version that satisfies the requirement kfp==2.10.1 (from versions: 0.1.11, 0.1.16, 0.1.19, 0.1.23, 0.1.23.1, 0.1.24, 0.1.25, 0.1.26, 0.1.27, 0.1.29, 0.1.30, 0.1.31, 0.1.31.1, 0.1.31.2, 0.1.32, 0.1.32.1, 0.1.32.2, 0.1.33, 0.1.34, 0.1.35, 0.1.36, 0.1.37, 0.1.38, 0.1.39, 0.1.40, 0.2.0, 0.2.1, 0.2.2, 0.2.2.1, 0.2.4, 0.2.4.1, 0.2.5, 0.4.0, 0.5.0, 0.5.1, 0.5.2, 1.0.0rc1, 1.0.0rc2, 1.0.0rc3, 1.0.0rc4, 1.0.0rc5, 1.0.0, 1.0.1rc1, 1.0.1, 1.0.3rc1, 1.0.3, 1.0.4, 1.1.0a1, 1.1.0, 1.1.1b1, 1.1.1rc0, 1.1.1, 1.1.2, 1.2.0, 1.3.0, 1.4.0rc1, 1.4.0, 1.4.1rc0, 1.4.1rc1, 1.6.0rc0, 1.6.1, 1.6.2, 1.6.3, 1.6.4, 1.6.5, 1.6.6, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.8.3, 1.8.4, 1.8.5, 1.8.6, 1.8.7, 1.8.8, 1.8.9, 1.8.10, 1.8.11, 1.8.12, 1.8.13, 1.8.14, 1.8.15, 1.8.16, 1.8.17, 1.8.18, 1.8.19, 1.8.20, 1.8.21, 1.8.22, 2.0.0a0, 2.0.0a1, 2.0.0a2, 2.0.0a3, 2.0.0a5, 2.0.0b1, 2.0.0b3, 2.0.0b4, 2.0.0b5, 2.0.0b6, 2.0.0b8, 2.0.0b9, 2.0.0b11, 2.0.0b12, 2.0.0b13, 2.0.0b14, 2.0.0b15, 2.0.0b16, 2.0.0b17, 2.0.0rc1, 2.0.0rc2, 2.0.0, 2.0.1, 2.1.3, 2.2.0, 2.3.0, 2.4.0, 2.5.0, 2.6.0, 2.7.0, 2.8.0, 2.9.0)
Traceback (most recent call last):
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_vendor/resolvelib/resolvers.py", line 397, in resolve
    self._add_to_criteria(self.state.criteria, r, parent=None)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_vendor/resolvelib/resolvers.py", line 174, in _add_to_criteria
    raise RequirementsConflicted(criterion)
pip._vendor.resolvelib.resolvers.RequirementsConflicted: Requirements conflict: SpecifierRequirement('kfp==2.10.1')

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/resolution/resolvelib/resolver.py", line 95, in resolve
    result = self._result = resolver.resolve(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_vendor/resolvelib/resolvers.py", line 546, in resolve
    state = resolution.resolve(requirements, max_rounds=max_rounds)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_vendor/resolvelib/resolvers.py", line 399, in resolve
    raise ResolutionImpossible(e.criterion.information)
pip._vendor.resolvelib.resolvers.ResolutionImpossible: [RequirementInformation(requirement=SpecifierRequirement('kfp==2.10.1'), parent=None)]

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/bin/pip-compile", line 8, in <module>
    sys.exit(cli())
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/core.py", line 1157, in __call__
    return self.main(*args, **kwargs)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/core.py", line 1078, in main
    rv = self.invoke(ctx)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/core.py", line 1434, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/core.py", line 783, in invoke
    return __callback(*args, **kwargs)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/decorators.py", line 33, in new_func
    return f(get_current_context(), *args, **kwargs)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/piptools/scripts/compile.py", line 470, in cli
    results = resolver.resolve(max_rounds=max_rounds)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/piptools/resolver.py", line 604, in resolve
    is_resolved = self._do_resolve(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/piptools/resolver.py", line 636, in _do_resolve
    resolver.resolve(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/resolution/resolvelib/resolver.py", line 104, in resolve
    raise error from e
pip._internal.exceptions.DistributionNotFound: No matching distribution found for kfp==2.10.1

File name: tests/notebooks/cpu/e2e-wine/requirements.txt

Command failed: pip-compile requirements.in
  ERROR: Ignored the following yanked versions: 0.3.0, 1.6.0, 2.0.0a4, 2.0.0b0, 2.0.0b2, 2.0.0b7, 2.0.0b10, 2.1.1, 2.1.2
  ERROR: Ignored the following versions that require a different python version: 2.10.0 Requires-Python <3.13.0,>=3.9.0; 2.10.1 Requires-Python >=3.9.0
  ERROR: Could not find a version that satisfies the requirement kfp==2.10.1 (from versions: 0.1.11, 0.1.16, 0.1.19, 0.1.23, 0.1.23.1, 0.1.24, 0.1.25, 0.1.26, 0.1.27, 0.1.29, 0.1.30, 0.1.31, 0.1.31.1, 0.1.31.2, 0.1.32, 0.1.32.1, 0.1.32.2, 0.1.33, 0.1.34, 0.1.35, 0.1.36, 0.1.37, 0.1.38, 0.1.39, 0.1.40, 0.2.0, 0.2.1, 0.2.2, 0.2.2.1, 0.2.4, 0.2.4.1, 0.2.5, 0.4.0, 0.5.0, 0.5.1, 0.5.2, 1.0.0rc1, 1.0.0rc2, 1.0.0rc3, 1.0.0rc4, 1.0.0rc5, 1.0.0, 1.0.1rc1, 1.0.1, 1.0.3rc1, 1.0.3, 1.0.4, 1.1.0a1, 1.1.0, 1.1.1b1, 1.1.1rc0, 1.1.1, 1.1.2, 1.2.0, 1.3.0, 1.4.0rc1, 1.4.0, 1.4.1rc0, 1.4.1rc1, 1.6.0rc0, 1.6.1, 1.6.2, 1.6.3, 1.6.4, 1.6.5, 1.6.6, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.8.3, 1.8.4, 1.8.5, 1.8.6, 1.8.7, 1.8.8, 1.8.9, 1.8.10, 1.8.11, 1.8.12, 1.8.13, 1.8.14, 1.8.15, 1.8.16, 1.8.17, 1.8.18, 1.8.19, 1.8.20, 1.8.21, 1.8.22, 2.0.0a0, 2.0.0a1, 2.0.0a2, 2.0.0a3, 2.0.0a5, 2.0.0b1, 2.0.0b3, 2.0.0b4, 2.0.0b5, 2.0.0b6, 2.0.0b8, 2.0.0b9, 2.0.0b11, 2.0.0b12, 2.0.0b13, 2.0.0b14, 2.0.0b15, 2.0.0b16, 2.0.0b17, 2.0.0rc1, 2.0.0rc2, 2.0.0, 2.0.1, 2.1.3, 2.2.0, 2.3.0, 2.4.0, 2.5.0, 2.6.0, 2.7.0, 2.8.0, 2.9.0)
Traceback (most recent call last):
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_vendor/resolvelib/resolvers.py", line 397, in resolve
    self._add_to_criteria(self.state.criteria, r, parent=None)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_vendor/resolvelib/resolvers.py", line 174, in _add_to_criteria
    raise RequirementsConflicted(criterion)
pip._vendor.resolvelib.resolvers.RequirementsConflicted: Requirements conflict: SpecifierRequirement('kfp==2.10.1')

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/resolution/resolvelib/resolver.py", line 95, in resolve
    result = self._result = resolver.resolve(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_vendor/resolvelib/resolvers.py", line 546, in resolve
    state = resolution.resolve(requirements, max_rounds=max_rounds)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_vendor/resolvelib/resolvers.py", line 399, in resolve
    raise ResolutionImpossible(e.criterion.information)
pip._vendor.resolvelib.resolvers.ResolutionImpossible: [RequirementInformation(requirement=SpecifierRequirement('kfp==2.10.1'), parent=None)]

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/bin/pip-compile", line 8, in <module>
    sys.exit(cli())
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/core.py", line 1157, in __call__
    return self.main(*args, **kwargs)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/core.py", line 1078, in main
    rv = self.invoke(ctx)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/core.py", line 1434, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/core.py", line 783, in invoke
    return __callback(*args, **kwargs)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/click/decorators.py", line 33, in new_func
    return f(get_current_context(), *args, **kwargs)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/piptools/scripts/compile.py", line 470, in cli
    results = resolver.resolve(max_rounds=max_rounds)
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/piptools/resolver.py", line 604, in resolve
    is_resolved = self._do_resolve(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/piptools/resolver.py", line 636, in _do_resolve
    resolver.resolve(
  File "/opt/containerbase/tools/pip-tools/7.4.1/3.8.10/lib/python3.8/site-packages/pip/_internal/resolution/resolvelib/resolver.py", line 104, in resolve
    raise error from e
pip._internal.exceptions.DistributionNotFound: No matching distribution found for kfp==2.10.1

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chore(deps): update dependency kfp to v2.10.1 #62

chore(deps): update dependency kfp to v2.10.1 #62

renovate bot commented Feb 25, 2024 •

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renovate bot commented Jul 12, 2024 •

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renovate bot commented Dec 6, 2024

chore(deps): update dependency kfp to v2.10.1 #62

chore(deps): update dependency kfp to v2.10.1 #62

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renovate bot commented Feb 25, 2024 • edited Loading

Release Notes

v2.3.0

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v2.2.0

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v2.0.1

v2.0.0

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File name: tests/notebooks/cpu/kfp_v1/requirements.txt

File name: tests/notebooks/cpu/e2e-wine/requirements.txt

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`v2.3.0`

`v2.2.0`

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`v2.0.0`

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