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Bump great-expectations from 0.15.8 to 0.15.11 in /giskard-ml-worker #118

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merged 2 commits into from
Jun 28, 2022
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Bump great-expectations from 0.15.8 to 0.15.11 in /giskard-ml-worker #118

merged 2 commits into from
Jun 28, 2022

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@dependabot dependabot bot commented on behalf of github Jun 24, 2022

Bumps great-expectations from 0.15.8 to 0.15.11.

Release notes

Sourced from great-expectations's releases.

0.15.11

  • [FEATURE] Enable NumericMetricRangeMultiBatchParameterBuilder to use evaluation dependencies (#5323)
  • [FEATURE] Improve Trino Support (#5261) (thanks @​aezomz)
  • [FEATURE] added support to Aws Athena quantiles (#5114) (thanks @​kuhnen)
  • [FEATURE] Implement the "column.standard_deviation" metric for sqlite database (#5338)
  • [FEATURE] Update add_datasource to leverage the DatasourceStore (#5334)
  • [FEATURE] Provide ability for DataAssistant to return its effective underlying BaseRuleBasedProfiler configuration (#5359)
  • [BUGFIX] Fix Netlify build issue that was being caused by entry in changelog (#5322)
  • [BUGFIX] Numpy dtype.float64 formatted floating point numbers must be converted to Python float for use in SQLAlchemy Boolean clauses (#5336)
  • [BUGFIX] Fix for failing Expectation test in cloud_db_integration pipeline (#5321)
  • [DOCS] revert getting started tutorial to RBP process (#5307)
  • [DOCS] mark onboarding assistant guide as experimental and update cli command (#5308)
  • [DOCS] Fix line numbers in getting started guide (#5324)
  • [DOCS] DOC-337 automate updates to the version information displayed in the getting started tutorial. (#5348)
  • [MAINTENANCE] Fix link in suite profile renderer (#5242) (thanks @​andyjessen)
  • [MAINTENANCE] Refactor of _apply_global_config_overrides() method to return config (#5286)
  • [MAINTENANCE] Remove "json_serialize" directive from ParameterBuilder computations (#5320)
  • [MAINTENANCE] Misc cleanup post 0.15.10 release (#5325)
  • [MAINTENANCE] Standardize instantiation of NumericMetricRangeMultibatchParameterBuilder throughout the codebase. (#5327)
  • [MAINTENANCE] Reuse MetricMultiBatchParameterBuilder computation results as evaluation dependencies for performance enhancement (#5329)
  • [MAINTENANCE] clean up type declarations (#5331)
  • [MAINTENANCE] Maintenance/great 761/great 1010/great 1011/alexsherstinsky/rule based profiler/data assistant/include only essential public methods in data assistant dispatcher class 2022 06 21 177 (#5351)
  • [MAINTENANCE] Update release schedule JSON (#5349)
  • [MAINTENANCE] Include only essential public methods in DataAssistantResult class (and its descendants) (#5360)

0.15.10

  • [FEATURE] DataContextVariables CRUD for stores (#5268)
  • [FEATURE] DataContextVariables CRUD for data_docs_sites (#5269)
  • [FEATURE] DataContextVariables CRUD for anonymous_usage_statistics (#5271)
  • [FEATURE] DataContextVariables CRUD for notebooks (#5272)
  • [FEATURE] DataContextVariables CRUD for concurrency (#5273)
  • [FEATURE] DataContextVariables CRUD for progress_bars (#5274)
  • [FEATURE] Integrate DatasourceStore with DataContext (#5292)
  • [FEATURE] Support both UserConfigurableProfiler and OnboardingDataAssistant in "CLI SUITE NEW --PROFILE " command (#5306)
  • [BUGFIX] Fix ColumnPartition metric handling of the number of bins (must always be integer). (#5282)
  • [BUGFIX] Add new high precision rule for mean and stdev in OnboardingDataAssistant (#5276)
  • [BUGFIX] Warning in Getting Started Guide notebook. (#5297)
  • [DOCS] how to create an expectation suite with the onboarding assistant (#5266)
  • [DOCS] update getting started tutorial for onboarding assistant (#5294)
  • [DOCS] getting started tutorial doc standards updates (#5295)
  • [DOCS] Update standard arguments doc for Expectations to not reference datasets. (#5052)
  • [MAINTENANCE] Add check to check_type_hint_coverage script to ensure proper mypy installation (#5291)
  • [MAINTENANCE] DataAssistantResult cleanup and extensibility enhancements (#5259)
  • [MAINTENANCE] Handle compare Expectation in presence of high precision floating point numbers and NaN values (#5298)
  • [MAINTENANCE] Suppress persisting of temporary ExpectationSuite configurations in Rule-Based Profiler computations (#5305)
  • [MAINTENANCE] Adds column values github user validation (#5302)
  • [MAINTENANCE] Adds column values IATA code validation (#5303)
  • [MAINTENANCE] Adds column values ARN validation (#5304)
  • [MAINTENANCE] Fixing a typo in a comment (in several files) (#5310)
  • [MAINTENANCE] Adds column scientific notation string validation (#5309)

... (truncated)

Changelog

Sourced from great-expectations's changelog.

0.15.11

  • [FEATURE] Enable NumericMetricRangeMultiBatchParameterBuilder to use evaluation dependencies (#5323)
  • [FEATURE] Improve Trino Support (#5261) (thanks @​aezomz)
  • [FEATURE] added support to Aws Athena quantiles (#5114) (thanks @​kuhnen)
  • [FEATURE] Implement the "column.standard_deviation" metric for sqlite database (#5338)
  • [FEATURE] Update add_datasource to leverage the DatasourceStore (#5334)
  • [FEATURE] Provide ability for DataAssistant to return its effective underlying BaseRuleBasedProfiler configuration (#5359)
  • [BUGFIX] Fix Netlify build issue that was being caused by entry in changelog (#5322)
  • [BUGFIX] Numpy dtype.float64 formatted floating point numbers must be converted to Python float for use in SQLAlchemy Boolean clauses (#5336)
  • [BUGFIX] Fix for failing Expectation test in cloud_db_integration pipeline (#5321)
  • [DOCS] revert getting started tutorial to RBP process (#5307)
  • [DOCS] mark onboarding assistant guide as experimental and update cli command (#5308)
  • [DOCS] Fix line numbers in getting started guide (#5324)
  • [DOCS] DOC-337 automate updates to the version information displayed in the getting started tutorial. (#5348)
  • [MAINTENANCE] Fix link in suite profile renderer (#5242) (thanks @​andyjessen)
  • [MAINTENANCE] Refactor of _apply_global_config_overrides() method to return config (#5286)
  • [MAINTENANCE] Remove "json_serialize" directive from ParameterBuilder computations (#5320)
  • [MAINTENANCE] Misc cleanup post 0.15.10 release (#5325)
  • [MAINTENANCE] Standardize instantiation of NumericMetricRangeMultibatchParameterBuilder throughout the codebase. (#5327)
  • [MAINTENANCE] Reuse MetricMultiBatchParameterBuilder computation results as evaluation dependencies for performance enhancement (#5329)
  • [MAINTENANCE] clean up type declarations (#5331)
  • [MAINTENANCE] Maintenance/great 761/great 1010/great 1011/alexsherstinsky/rule based profiler/data assistant/include only essential public methods in data assistant dispatcher class 2022 06 21 177 (#5351)
  • [MAINTENANCE] Update release schedule JSON (#5349)
  • [MAINTENANCE] Include only essential public methods in DataAssistantResult class (and its descendants) (#5360)

0.15.10

  • [FEATURE] DataContextVariables CRUD for stores (#5268)
  • [FEATURE] DataContextVariables CRUD for data_docs_sites (#5269)
  • [FEATURE] DataContextVariables CRUD for anonymous_usage_statistics (#5271)
  • [FEATURE] DataContextVariables CRUD for notebooks (#5272)
  • [FEATURE] DataContextVariables CRUD for concurrency (#5273)
  • [FEATURE] DataContextVariables CRUD for progress_bars (#5274)
  • [FEATURE] Integrate DatasourceStore with DataContext (#5292)
  • [FEATURE] Support both UserConfigurableProfiler and OnboardingDataAssistant in "CLI SUITE NEW --PROFILE name" command (#5306)
  • [BUGFIX] Fix ColumnPartition metric handling of the number of bins (must always be integer). (#5282)
  • [BUGFIX] Add new high precision rule for mean and stdev in OnboardingDataAssistant (#5276)
  • [BUGFIX] Warning in Getting Started Guide notebook. (#5297)
  • [DOCS] how to create an expectation suite with the onboarding assistant (#5266)
  • [DOCS] update getting started tutorial for onboarding assistant (#5294)
  • [DOCS] getting started tutorial doc standards updates (#5295)
  • [DOCS] Update standard arguments doc for Expectations to not reference datasets. (#5052)
  • [MAINTENANCE] Add check to check_type_hint_coverage script to ensure proper mypy installation (#5291)
  • [MAINTENANCE] DataAssistantResult cleanup and extensibility enhancements (#5259)
  • [MAINTENANCE] Handle compare Expectation in presence of high precision floating point numbers and NaN values (#5298)
  • [MAINTENANCE] Suppress persisting of temporary ExpectationSuite configurations in Rule-Based Profiler computations (#5305)
  • [MAINTENANCE] Adds column values github user validation (#5302)
  • [MAINTENANCE] Adds column values IATA code validation (#5303)
  • [MAINTENANCE] Adds column values ARN validation (#5304)
  • [MAINTENANCE] Fixing a typo in a comment (in several files) (#5310)
  • [MAINTENANCE] Adds column scientific notation string validation (#5309)

... (truncated)

Commits
  • 09eabbc [RELEASE] 0.15.11 (#5361)
  • 08ab530 chore: update gh action (#5363)
  • b52d3a2 [MAINTENANCE] Include only essential public methods in DataAssistantResult cl...
  • 10488ee [FEATURE] Provide ability for DataAssistant to return its effective underlyin...
  • b304896 [FEATURE] Update add_datasource to leverage the DatasourceStore (#5334)
  • f8a15a1 [MAINTENANCE] Update release schedule JSON (#5349)
  • c180fe8 [DOCS] DOC-337 automate updates to the version information displayed in the g...
  • b848cd8 Maintenance/great 761/great 1010/great 1011/alexsherstinsky/rule based profil...
  • f9a2127 [FEATURE] Implement the "column.standard_deviation" metric for sqlite databas...
  • f6c54a3 [BUGFIX] Fix for failing Expectation test in cloud_db_integration pipeline ...
  • Additional commits viewable in compare view

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@dependabot
Bump great-expectations from 0.15.8 to 0.15.11 in /giskard-ml-worker
d4612f0 
Bumps [great-expectations](https://github.com/great-expectations/great_expectations) from 0.15.8 to 0.15.11.
- [Release notes](https://github.com/great-expectations/great_expectations/releases)
- [Changelog](https://github.com/great-expectations/great_expectations/blob/develop/docs/changelog.md)
- [Commits](great-expectations/great_expectations@0.15.8...0.15.11)

---
updated-dependencies:
- dependency-name: great-expectations
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file Python Pull requests that update Python code labels Jun 24, 2022
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sonarqubecloud bot commented Jun 24, 2022

Kudos, SonarCloud Quality Gate passed!    Quality Gate passed

Bug A 0 Bugs
Vulnerability A 0 Vulnerabilities
Security Hotspot A 0 Security Hotspots
Code Smell A 0 Code Smells

No Coverage information No Coverage information
No Duplication information No Duplication information

@andreybavt andreybavt merged commit 0fb41ea into main Jun 28, 2022
@dependabot dependabot bot deleted the dependabot/pip/giskard-ml-worker/great-expectations-0.15.11 branch June 28, 2022 12:38
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