chore(deps): update dependency numpy to v1.21.2 #899
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* chore: protect v3.x.x branch (#816) * chore: protect v3.x.x branch In preparation for breaking changes. * force pattern to be a string * simplify branch name * fix: no longer raise a warning in `to_dataframe` if `max_results` set (#815) That warning should only be used when BQ Storage client is explicitly passed in to RowIterator methods when max_results value is also set. * feat: Update proto definitions for bigquery/v2 to support new proto fields for BQML. (#817) PiperOrigin-RevId: 387137741 Source-Link: googleapis/googleapis@8962c92 Source-Link: https://github.com/googleapis/googleapis-gen/commit/102f1b4277cc5a049663535d9eeb77831b67de25 * chore: release 2.23.0 (#819) Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com> * chore(deps): update dependency google-cloud-bigquery to v2.23.0 (#820) * fix: `insert_rows()` accepts float column values as strings again (#824) * chore: release 2.23.1 (#825) Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com> * chore: add second protection rule for v3 branch (#828) * chore(deps): update dependency google-cloud-bigquery to v2.23.1 (#827) * test: retry getting rows after streaming them in `test_insert_rows_from_dataframe` (#832) * chore(deps): update dependency pyarrow to v5 (#834) * chore(deps): update dependency google-cloud-bigquery-storage to v2.6.2 (#795) * deps: expand pyarrow pins to support 5.x releases (#833) * chore: release 2.23.2 (#835) Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com> * chore(deps): update dependency google-auth-oauthlib to v0.4.5 (#839) * chore(deps): update dependency google-cloud-bigquery to v2.23.2 (#838) * chore(deps): update dependency google-cloud-testutils to v1 (#845) * chore: require CODEOWNER review and up to date branches (#846) These two lines bring the rules on this repo in line with the defaults: https://github.com/googleapis/repo-automation-bots/blob/63c858e539e1f4d9bb8ea66e12f9c0a0de5fef55/packages/sync-repo-settings/src/required-checks.json#L40-L50 * chore: add api-bigquery as a samples owner (#852) * fix: increase default retry deadline to 10 minutes (#859) The backend API has a timeout of 4 minutes, so the default of 2 minutes was not allowing for any retries to happen in some cases. Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [ ] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-bigquery/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [ ] Ensure the tests and linter pass - [ ] Code coverage does not decrease (if any source code was changed) - [ ] Appropriate docs were updated (if necessary) Fixes #853 🦕 * process: add yoshi-python to samples CODEOWNERS (#858) Closes #857. * chore: release 2.23.3 (#860) Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com> Co-authored-by: Tim Swast <swast@google.com> * chore(deps): update dependency google-cloud-bigquery to v2.23.3 (#866) [](https://renovatebot.com) This PR contains the following updates: | Package | Change | Age | Adoption | Passing | Confidence | |---|---|---|---|---|---| | [google-cloud-bigquery](https://togithub.com/googleapis/python-bigquery) | `==2.23.2` -> `==2.23.3` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | *** ### Release Notes <details> <summary>googleapis/python-bigquery</summary> ### [`v2.23.3`](https://togithub.com/googleapis/python-bigquery/blob/master/CHANGELOG.md#2233-httpswwwgithubcomgoogleapispython-bigquerycomparev2232v2233-2021-08-06) [Compare Source](https://togithub.com/googleapis/python-bigquery/compare/v2.23.2...v2.23.3) </details> *** ### Configuration 📅 **Schedule**: At any time (no schedule defined). 🚦 **Automerge**: Disabled by config. Please merge this manually once you are satisfied. ♻ **Rebasing**: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox. 🔕 **Ignore**: Close this PR and you won't be reminded about this update again. *** * \[ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box. *** This PR has been generated by [WhiteSource Renovate](https://renovate.whitesourcesoftware.com). View repository job log [here](https://app.renovatebot.com/dashboard#github/googleapis/python-bigquery). * feat: add support for transaction statistics (#849) * feat: add support for transaction statistics * Hoist transaction_info into base job class * Add versionadded directive to new property and class * Include new class in docs reference * chore(deps): update dependency google-cloud-bigquery-storage to v2.6.3 (#863) [](https://renovatebot.com) This PR contains the following updates: | Package | Change | Age | Adoption | Passing | Confidence | |---|---|---|---|---|---| | [google-cloud-bigquery-storage](https://togithub.com/googleapis/python-bigquery-storage) | `==2.6.2` -> `==2.6.3` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | *** ### Release Notes <details> <summary>googleapis/python-bigquery-storage</summary> ### [`v2.6.3`](https://togithub.com/googleapis/python-bigquery-storage/blob/master/CHANGELOG.md#263-httpswwwgithubcomgoogleapispython-bigquery-storagecomparev262v263-2021-08-06) [Compare Source](https://togithub.com/googleapis/python-bigquery-storage/compare/v2.6.2...v2.6.3) </details> *** ### Configuration 📅 **Schedule**: At any time (no schedule defined). 🚦 **Automerge**: Disabled by config. Please merge this manually once you are satisfied. ♻ **Rebasing**: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox. 🔕 **Ignore**: Close this PR and you won't be reminded about this update again. *** * \[x] <!-- rebase-check -->If you want to rebase/retry this PR, check this box. *** This PR has been generated by [WhiteSource Renovate](https://renovate.whitesourcesoftware.com). View repository job log [here](https://app.renovatebot.com/dashboard#github/googleapis/python-bigquery). * chore: fix INSTALL_LIBRARY_FROM_SOURCE in noxfile.py (#869) Source-Link: googleapis/synthtool@6252f2c Post-Processor: gcr.io/repo-automation-bots/owlbot-python:latest@sha256:50e35228649c47b6ca82aa0be3ff9eb2afce51c82b66c4a03fe4afeb5ff6c0fc Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com> * feat: make the same `Table*` instances equal to each other (#867) * feat: make the same Table instances equal to each other * Table equality should ignore metadata differences * Compare instances through tableReference property * Make Table instances hashable * Make Table* classes interchangeable If these classes reference the same table, they are now considered equal. * feat: support `ScalarQueryParameterType` for `type_` argument in `ScalarQueryParameter` constructor (#850) Follow-up to https://github.com/googleapis/python-bigquery/pull/840/files#r679880582 Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [ ] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-bigquery/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [ ] Ensure the tests and linter pass - [ ] Code coverage does not decrease (if any source code was changed) - [ ] Appropriate docs were updated (if necessary) * feat: retry failed query jobs in `result()` (#837) Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [x] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-bigquery/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [x] Ensure the tests and linter pass - [x] Code coverage does not decrease (if any source code was changed) - [x] Appropriate docs were updated (if necessary) Fixes #539 🦕 Previously, we only retried failed API requests. Now, we retry failed jobs (according to the predicate of the `Retry` object passed to `job.result()`). * fix: make unicode characters working well in load_table_from_json (#865) Co-authored-by: Tim Swast <swast@google.com> Co-authored-by: Tres Seaver <tseaver@palladion.com> * chore: release 2.24.0 (#868) :robot: I have created a release \*beep\* \*boop\* --- ## [2.24.0](https://www.github.com/googleapis/python-bigquery/compare/v2.23.3...v2.24.0) (2021-08-11) ### Features * add support for transaction statistics ([#849](https://www.github.com/googleapis/python-bigquery/issues/849)) ([7f7b1a8](https://www.github.com/googleapis/python-bigquery/commit/7f7b1a808d50558772a0deb534ca654da65d629e)) * make the same `Table*` instances equal to each other ([#867](https://www.github.com/googleapis/python-bigquery/issues/867)) ([c1a3d44](https://www.github.com/googleapis/python-bigquery/commit/c1a3d4435739a21d25aa154145e36d3a7c42eeb6)) * retry failed query jobs in `result()` ([#837](https://www.github.com/googleapis/python-bigquery/issues/837)) ([519d99c](https://www.github.com/googleapis/python-bigquery/commit/519d99c20e7d1101f76981f3de036fdf3c7a4ecc)) * support `ScalarQueryParameterType` for `type_` argument in `ScalarQueryParameter` constructor ([#850](https://www.github.com/googleapis/python-bigquery/issues/850)) ([93d15e2](https://www.github.com/googleapis/python-bigquery/commit/93d15e2e5405c2cc6d158c4e5737361344193dbc)) ### Bug Fixes * make unicode characters working well in load_table_from_json ([#865](https://www.github.com/googleapis/python-bigquery/issues/865)) ([ad9c802](https://www.github.com/googleapis/python-bigquery/commit/ad9c8026f0e667f13dd754279f9dc40d06f4fa78)) --- This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please). * chore(deps): update dependency google-cloud-bigquery to v2.24.0 (#873) * test: refactor `list_rows` tests and add test for scalars (#829) * test: refactor `list_rows` tests and add test for scalars * fix JSON formatting * add TODO for INTERVAL Arrow support * format tests * chore: drop mention of Python 2.7 from templates (#877) Source-Link: googleapis/synthtool@facee4c Post-Processor: gcr.io/repo-automation-bots/owlbot-python:latest@sha256:9743664022bd63a8084be67f144898314c7ca12f0a03e422ac17c733c129d803 Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com> * fix: remove pytz dependency and require pyarrow>=3.0.0 (#875) * fix: remove pytz dependency * 🦉 Updates from OwlBot See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md * fix(deps): require pyarrow>=3.0.0 * remove version check for pyarrow * require pyarrow 3.0 in pandas extra * remove _BIGNUMERIC_SUPPORT references from tests Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com> Co-authored-by: Dina Graves Portman <dinagraves@google.com> Co-authored-by: Tim Swast <swast@google.com> * chore: release 2.24.1 (#879) Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com> * chore(deps): update dependency google-cloud-bigquery to v2.24.1 (#887) * feat: Support using GeoPandas for GEOGRAPHY columns (#848) * test: Add test of datetime and time pandas load (#895) * chore: release 2.25.0 (#898) Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com> Co-authored-by: Jim Fulton <jim@jimfulton.info> * chore(deps): update dependency numpy to v1.21.2 (#899) * chore(deps): update dependency numpy to v1.21.2 * Update samples/geography/requirements.txt Co-authored-by: Leah E. Cole <6719667+leahecole@users.noreply.github.com> * chore(deps): update dependency google-cloud-core to v2 (#904) * fix: use REST API in cell magic when requested (#892) Fixes #876. The `--use_rest_api` option did not work as expected and this commit fixes it. **PR checklist:** - [x] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-bigquery/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [x] Ensure the tests and linter pass - [x] Code coverage does not decrease (if any source code was changed) - [x] Appropriate docs were updated (if necessary) * fix: populate default `timeout` and retry after client-side timeout (#896) This addresses internal issue 195337762 where sometimes query job creation can take longer than expected and retrying the API call can be faster than waiting for the first query job request to fail. Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [x] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-bigquery/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [x] Ensure the tests and linter pass - [x] Code coverage does not decrease (if any source code was changed) - [x] Appropriate docs were updated (if necessary) Fixes #889 Towards #779 🦕 * chore(deps): update dependency google-cloud-bigquery to v2.25.0 (#907) [](https://renovatebot.com) This PR contains the following updates: | Package | Change | Age | Adoption | Passing | Confidence | |---|---|---|---|---|---| | [google-cloud-bigquery](https://togithub.com/googleapis/python-bigquery) | `==2.24.1` -> `==2.25.0` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | --- ### Release Notes <details> <summary>googleapis/python-bigquery</summary> ### [`v2.25.0`](https://togithub.com/googleapis/python-bigquery/blob/master/CHANGELOG.md#​2250-httpswwwgithubcomgoogleapispython-bigquerycomparev2241v2250-2021-08-24) [Compare Source](https://togithub.com/googleapis/python-bigquery/compare/v2.24.1...v2.25.0) ##### Features - Support using GeoPandas for GEOGRAPHY columns ([#​848](https://www.togithub.com/googleapis/python-bigquery/issues/848)) ([16f65e6](https://www.github.com/googleapis/python-bigquery/commit/16f65e6ae15979217ceea6c6d398c9057a363a13)) ##### [2.24.1](https://www.github.com/googleapis/python-bigquery/compare/v2.24.0...v2.24.1) (2021-08-13) ##### Bug Fixes - remove pytz dependency and require pyarrow>=3.0.0 ([#​875](https://www.togithub.com/googleapis/python-bigquery/issues/875)) ([2cb3563](https://www.github.com/googleapis/python-bigquery/commit/2cb3563ee863edef7eaf5d04d739bcfe7bc6438e)) </details> --- ### Configuration 📅 **Schedule**: At any time (no schedule defined). 🚦 **Automerge**: Disabled by config. 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View repository job log [here](https://app.renovatebot.com/dashboard#github/googleapis/python-bigquery). * chore(deps): update dependency pandas to v1.3.2 (#900) [](https://renovatebot.com) This PR contains the following updates: | Package | Change | Age | Adoption | Passing | Confidence | |---|---|---|---|---|---| | [pandas](https://pandas.pydata.org) ([source](https://togithub.com/pandas-dev/pandas)) | `==1.1.5` -> `==1.3.2` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | --- ### Release Notes <details> <summary>pandas-dev/pandas</summary> ### [`v1.3.2`](https://togithub.com/pandas-dev/pandas/releases/v1.3.2) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.3.1...v1.3.2) This is a patch release in the 1.3.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.3.2/whatsnew/v1.3.2.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). ### [`v1.3.1`](https://togithub.com/pandas-dev/pandas/releases/v1.3.1) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.3.0...v1.3.1) This is the first patch release in the 1.3.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.3.1/whatsnew/v1.3.1.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). ### [`v1.3.0`](https://togithub.com/pandas-dev/pandas/releases/v1.3.0) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.2.5...v1.3.0) This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.3.0/whatsnew/v1.3.0.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install -c conda-forge pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). ### [`v1.2.5`](https://togithub.com/pandas-dev/pandas/releases/v1.2.5) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.2.4...v1.2.5) This is a patch release in the 1.2.x series and includes some regression fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.2.5/whatsnew/v1.2.5.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). ### [`v1.2.4`](https://togithub.com/pandas-dev/pandas/releases/v1.2.4) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.2.3...v1.2.4) This is a patch release in the 1.2.x series and includes some regression fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.2.4/whatsnew/v1.2.4.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). ### [`v1.2.3`](https://togithub.com/pandas-dev/pandas/releases/v1.2.3) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.2.2...v1.2.3) This is a patch release in the 1.2.x series and includes some regression fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.2.3/whatsnew/v1.2.3.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). ### [`v1.2.2`](https://togithub.com/pandas-dev/pandas/releases/v1.2.2) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.2.1...v1.2.2) This is a patch release in the 1.2.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.2.2/whatsnew/v1.2.2.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). ### [`v1.2.1`](https://togithub.com/pandas-dev/pandas/releases/v1.2.1) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.2.0...v1.2.1) This is the first patch release in the 1.2.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.2.1/whatsnew/v1.2.1.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). ### [`v1.2.0`](https://togithub.com/pandas-dev/pandas/releases/v1.2.0) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.1.5...v1.2.0) This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.2.0/whatsnew/v1.2.0.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install -c conda-forge pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). </details> --- ### Configuration 📅 **Schedule**: At any time (no schedule defined). 🚦 **Automerge**: Disabled by config. Please merge this manually once you are satisfied. ♻ **Rebasing**: Renovate will not automatically rebase this PR, because other commits have been found. 🔕 **Ignore**: Close this PR and you won't be reminded about this update again. --- - [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box. --- This PR has been generated by [WhiteSource Renovate](https://renovate.whitesourcesoftware.com). View repository job log [here](https://app.renovatebot.com/dashboard#github/googleapis/python-bigquery). * chore: group all renovate PRs together (#911) This excludes `renovate.json` from templated updates. If this works well, we can update the core templates (perhaps with a configuration option to `py_library`). Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [ ] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-bigquery/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [ ] Ensure the tests and linter pass - [ ] Code coverage does not decrease (if any source code was changed) - [ ] Appropriate docs were updated (if necessary) Fixes #<issue_number_goes_here> 🦕 * chore: release 2.25.1 (#912) :robot: I have created a release \*beep\* \*boop\* --- ### [2.25.1](https://www.github.com/googleapis/python-bigquery/compare/v2.25.0...v2.25.1) (2021-08-25) ### Bug Fixes * populate default `timeout` and retry after client-side timeout ([#896](https://www.github.com/googleapis/python-bigquery/issues/896)) ([b508809](https://www.github.com/googleapis/python-bigquery/commit/b508809c0f887575274309a463e763c56ddd017d)) * use REST API in cell magic when requested ([#892](https://www.github.com/googleapis/python-bigquery/issues/892)) ([1cb3e55](https://www.github.com/googleapis/python-bigquery/commit/1cb3e55253e824e3a1da5201f6ec09065fb6b627)) --- This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please). * docs: update docstring for bigquery_create_routine sample (#883) (#917) Fixed language issues. Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [ ] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-bigquery/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [ ] Ensure the tests and linter pass - [ ] Code coverage does not decrease (if any source code was changed) - [ ] Appropriate docs were updated (if necessary) Fixes #<issue_number_goes_here> 🦕 Co-authored-by: pallabiwrites <87546424+pallabiwrites@users.noreply.github.com> * chore: migrate default branch to main (#910) * chore: migrate default branch to main * 🦉 Updates from OwlBot See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md * Add owlbot replacements to persist changes * Manually apply new replacements from owlbot.py * Move temp replacement rules after s.move() Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com> * chore: invalid docstrings broke docfx (#924) * chore(deps): update all dependencies (#914) * chore(deps): update all dependencies * Python version modifiers for pyproj Co-authored-by: Tim Swast <swast@google.com> * fix: error inserting DataFrame with REPEATED field (#925) Co-authored-by: Tim Swast <swast@google.com> * chore(deps): update all dependencies (#926) [](https://renovatebot.com) This PR contains the following updates: | Package | Change | Age | Adoption | Passing | Confidence | |---|---|---|---|---|---| | [google-cloud-bigquery](https://togithub.com/googleapis/python-bigquery) | `==2.25.0` -> `==2.25.1` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | | [google-cloud-testutils](https://togithub.com/googleapis/python-test-utils) | `==1.0.0` -> `==1.1.0` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | | [google-crc32c](https://togithub.com/googleapis/python-crc32c) | `==1.1.2` -> `==1.1.3` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | | [importlib-metadata](https://togithub.com/python/importlib_metadata) | `==4.6.4` -> `==4.8.1` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | | [pytest](https://docs.pytest.org/en/latest/) ([source](https://togithub.com/pytest-dev/pytest), [changelog](https://docs.pytest.org/en/stable/changelog.html)) | `==6.2.4` -> `==6.2.5` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | | [typing-extensions](https://togithub.com/python/typing) | `==3.10.0.0` -> `==3.10.0.2` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | --- ### Release Notes <details> <summary>googleapis/python-bigquery</summary> ### [`v2.25.1`](https://togithub.com/googleapis/python-bigquery/blob/master/CHANGELOG.md#​2251-httpswwwgithubcomgoogleapispython-bigquerycomparev2250v2251-2021-08-25) [Compare Source](https://togithub.com/googleapis/python-bigquery/compare/v2.25.0...v2.25.1) </details> <details> <summary>googleapis/python-test-utils</summary> ### [`v1.1.0`](https://togithub.com/googleapis/python-test-utils/compare/v1.0.0...v1.1.0) [Compare Source](https://togithub.com/googleapis/python-test-utils/compare/v1.0.0...v1.1.0) </details> <details> <summary>googleapis/python-crc32c</summary> ### [`v1.1.3`](https://togithub.com/googleapis/python-crc32c/blob/master/CHANGELOG.md#​113-httpswwwgithubcomgoogleapispython-crc32ccomparev112v113-2021-08-30) [Compare Source](https://togithub.com/googleapis/python-crc32c/compare/v1.1.2...v1.1.3) </details> <details> <summary>python/importlib_metadata</summary> ### [`v4.8.1`](https://togithub.com/python/importlib_metadata/blob/master/CHANGES.rst#v481) [Compare Source](https://togithub.com/python/importlib_metadata/compare/v4.8.0...v4.8.1) \====== - [#​348](https://togithub.com/python/importlib_metadata/issues/348): Restored support for `EntryPoint` access by item, deprecating support in the process. Users are advised to use direct member access instead of item-based access:: - ep\[0] -> ep.name - ep\[1] -> ep.value - ep\[2] -> ep.group - ep\[:] -> ep.name, ep.value, ep.group ### [`v4.8.0`](https://togithub.com/python/importlib_metadata/blob/master/CHANGES.rst#v480) [Compare Source](https://togithub.com/python/importlib_metadata/compare/v4.7.1...v4.8.0) \====== - [#​337](https://togithub.com/python/importlib_metadata/issues/337): Rewrote `EntryPoint` as a simple class, still immutable and still with the attributes, but without any expectation for `namedtuple` functionality such as `_asdict`. ### [`v4.7.1`](https://togithub.com/python/importlib_metadata/blob/master/CHANGES.rst#v471) [Compare Source](https://togithub.com/python/importlib_metadata/compare/v4.7.0...v4.7.1) \====== - [#​344](https://togithub.com/python/importlib_metadata/issues/344): Fixed regression in `packages_distributions` when neither top-level.txt nor a files manifest is present. ### [`v4.7.0`](https://togithub.com/python/importlib_metadata/blob/master/CHANGES.rst#v470) [Compare Source](https://togithub.com/python/importlib_metadata/compare/v4.6.4...v4.7.0) \====== - [#​330](https://togithub.com/python/importlib_metadata/issues/330): In `packages_distributions`, now infer top-level names from `.files()` when a `top-level.txt` (Setuptools-specific metadata) is not present. </details> <details> <summary>pytest-dev/pytest</summary> ### [`v6.2.5`](https://togithub.com/pytest-dev/pytest/compare/6.2.4...6.2.5) [Compare Source](https://togithub.com/pytest-dev/pytest/compare/6.2.4...6.2.5) </details> <details> <summary>python/typing</summary> ### [`v3.10.0.2`](https://togithub.com/python/typing/compare/3.10.0.1...3.10.0.2) [Compare Source](https://togithub.com/python/typing/compare/3.10.0.1...3.10.0.2) ### [`v3.10.0.1`](https://togithub.com/python/typing/compare/3.10.0.0...3.10.0.1) [Compare Source](https://togithub.com/python/typing/compare/3.10.0.0...3.10.0.1) </details> --- ### Configuration 📅 **Schedule**: At any time (no schedule defined). 🚦 **Automerge**: Disabled by config. 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View repository job log [here](https://app.renovatebot.com/dashboard#github/googleapis/python-bigquery). * fix: underscores weren't allowed in struct field names when passing parameters to the DB API (#930) * chore: release 2.25.2 (#916) Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com> * chore(deps): update all dependencies (#928) * fix: guard imports against unsupported pyarrow versions (#934) * fix: guard imports against unsupported pyarrow versions * add unit tests * fix pytype * second try at fixing pytype * feat: set the X-Server-Timeout header when timeout is set (#927) Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [x] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-bigquery/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [x] Ensure the tests and linter pass - [x] Code coverage does not decrease (if any source code was changed) - [x] Appropriate docs were updated (if necessary) Fixes #919 🦕 * chore: release 2.26.0 (#937) :robot: I have created a release \*beep\* \*boop\* --- ## [2.26.0](https://www.github.com/googleapis/python-bigquery/compare/v2.25.2...v2.26.0) (2021-09-01) ### Features * set the X-Server-Timeout header when timeout is set ([#927](https://www.github.com/googleapis/python-bigquery/issues/927)) ([ba02f24](https://www.github.com/googleapis/python-bigquery/commit/ba02f248ba9c449c34859579a4011f4bfd2f4a93)) ### Bug Fixes * guard imports against unsupported pyarrow versions ([#934](https://www.github.com/googleapis/python-bigquery/issues/934)) ([b289076](https://www.github.com/googleapis/python-bigquery/commit/b28907693bbe889becc1b9c8963f0a7e1ee6c35a)) --- This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please). * chore(deps): update dependency google-cloud-bigquery to v2.26.0 (#938) * chore: update system tests and samples to use and @google.com email address (#942) * chore: update system tests and samples to use and @google.com email address * Add group prefix * fixed access entry some more * chore(python): rename default branch to main (#935) Source-Link: googleapis/synthtool@5c0fa62 Post-Processor: gcr.io/repo-automation-bots/owlbot-python:latest@sha256:0ffe3bdd6c7159692df5f7744da74e5ef19966288a6bf76023e8e04e0c424d7d Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com> Co-authored-by: Tim Swast <swast@google.com> Co-authored-by: Peter Lamut <plamut@users.noreply.github.com> Co-authored-by: Anthonios Partheniou <partheniou@google.com> * chore: Reduce duplicated code betweem tests/unit and tests/unit/job (#940) * chore: Reduce duplicated code betweem tests/unit and tests/unit/job * reuse parent make_client * test: fix routine DDL sample test exits too early (#932) Co-authored-by: Tres Seaver <tseaver@palladion.com> Co-authored-by: Tim Swast <swast@google.com> * chore(deps): update all dependencies (#939) [](https://renovatebot.com) This PR contains the following updates: | Package | Change | Age | Adoption | Passing | Confidence | |---|---|---|---|---|---| | [google-cloud-bigquery-storage](https://togithub.com/googleapis/python-bigquery-storage) | `==2.6.3` -> `==2.7.0` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | | [google-crc32c](https://togithub.com/googleapis/python-crc32c) | `==1.1.3` -> `==1.1.4` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | | [google-resumable-media](https://togithub.com/googleapis/google-resumable-media-python) | `==2.0.1` -> `==2.0.2` | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | [](https://docs.renovatebot.com/merge-confidence/) | --- ### Release Notes <details> <summary>googleapis/python-bigquery-storage</summary> ### [`v2.7.0`](https://togithub.com/googleapis/python-bigquery-storage/blob/master/CHANGELOG.md#​270-httpswwwgithubcomgoogleapispython-bigquery-storagecomparev263v270-2021-09-02) [Compare Source](https://togithub.com/googleapis/python-bigquery-storage/compare/v2.6.3...v2.7.0) ##### Features - **v1beta2:** Align ReadRows timeout with other versions of the API ([#​293](https://www.togithub.com/googleapis/python-bigquery-storage/issues/293)) ([43e36a1](https://www.github.com/googleapis/python-bigquery-storage/commit/43e36a13ece8d876763d88bad0252a1b2421c52a)) ##### Documentation - **v1beta2:** Align session length with public documentation ([43e36a1](https://www.github.com/googleapis/python-bigquery-storage/commit/43e36a13ece8d876763d88bad0252a1b2421c52a)) ##### [2.6.3](https://www.github.com/googleapis/python-bigquery-storage/compare/v2.6.2...v2.6.3) (2021-08-06) ##### Bug Fixes - resume read stream on `Unknown` transport-layer exception ([#​263](https://www.togithub.com/googleapis/python-bigquery-storage/issues/263)) ([127caa0](https://www.github.com/googleapis/python-bigquery-storage/commit/127caa06144b9cec04b23914b561be6a264bcb36)) ##### [2.6.2](https://www.github.com/googleapis/python-bigquery-storage/compare/v2.6.1...v2.6.2) (2021-07-28) ##### Bug Fixes - enable self signed jwt for grpc ([#​249](https://www.togithub.com/googleapis/python-bigquery-storage/issues/249)) ([a7e8d91](https://www.github.com/googleapis/python-bigquery-storage/commit/a7e8d913fc3de67a3f38ecbd35af2f9d1a33aa8d)) ##### Documentation - remove duplicate code samples ([#​246](https://www.togithub.com/googleapis/python-bigquery-storage/issues/246)) ([303f273](https://www.github.com/googleapis/python-bigquery-storage/commit/303f2732ced38e491df92e965dd37bac24a61d2f)) - add Samples section to CONTRIBUTING.rst ([#​241](https://www.togithub.com/googleapis/python-bigquery-storage/issues/241)) ([5d02358](https://www.github.com/googleapis/python-bigquery-storage/commit/5d02358fbd397cafcc1169d829859fe2dd568645)) ##### [2.6.1](https://www.github.com/googleapis/python-bigquery-storage/compare/v2.6.0...v2.6.1) (2021-07-20) ##### Bug Fixes - **deps:** pin 'google-{api,cloud}-core', 'google-auth' to allow 2.x versions ([#​240](https://www.togithub.com/googleapis/python-bigquery-storage/issues/240)) ([8f848e1](https://www.github.com/googleapis/python-bigquery-storage/commit/8f848e18379085160492cdd2d12dc8de50a46c8e)) ##### Documentation - pandas DataFrame samples are more standalone ([#​224](https://www.togithub.com/googleapis/python-bigquery-storage/issues/224)) ([4026997](https://www.github.com/googleapis/python-bigquery-storage/commit/4026997d7a286b63ed2b969c0bd49de59635326d)) </details> <details> <summary>googleapis/python-crc32c</summary> ### [`v1.1.4`](https://togithub.com/googleapis/python-crc32c/blob/master/CHANGELOG.md#​114-httpswwwgithubcomgoogleapispython-crc32ccomparev114v114-2021-09-02) [Compare Source](https://togithub.com/googleapis/python-crc32c/compare/v1.1.3...v1.1.4) </details> <details> <summary>googleapis/google-resumable-media-python</summary> ### [`v2.0.2`](https://togithub.com/googleapis/google-resumable-media-python/blob/master/CHANGELOG.md#​202-httpswwwgithubcomgoogleapisgoogle-resumable-media-pythoncomparev201v202-2021-09-02) [Compare Source](https://togithub.com/googleapis/google-resumable-media-python/compare/v2.0.1...v2.0.2) </details> --- ### Configuration 📅 **Schedule**: At any time (no schedule defined). 🚦 **Automerge**: Disabled by config. 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This PR contains the following updates:
==1.19.5->==1.21.2Release Notes
numpy/numpy
v1.21.2Compare Source
NumPy 1.21.2 Release Notes
The NumPy 1.21.2 is maintenance release that fixes bugs discovered after
1.21.1. It also provides 64 bit manylinux Python 3.10.0rc1 wheels for
downstream testing. Note that Python 3.10 is not yet final. There is
also preliminary support for Windows on ARM64 builds, but there is no
OpenBLAS for that platform and no wheels are available.
The Python versions supported for this release are 3.7-3.9. The 1.21.x
series is compatible with Python 3.10.0rc1 and Python 3.10 will be
officially supported after it is released. The previous problems with
gcc-11.1 have been fixed by gcc-11.2, check your version if you are
using gcc-11.
Contributors
A total of 10 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
Pull requests merged
A total of 18 pull requests were merged for this release.
<3.11numpy.typingcould raise-Werrorisn't applicable...runtest.pyChecksums
MD5
SHA256
v1.21.1Compare Source
NumPy 1.21.1 Release Notes
The NumPy 1.21.1 is maintenance release that fixes bugs discovered after
the 1.21.0 release and updates OpenBLAS to v0.3.17 to deal with problems
on arm64.
The Python versions supported for this release are 3.7-3.9. The 1.21.x
series is compatible with development Python 3.10. Python 3.10 will be
officially supported after it is released.
warnings when running the tests.
Contributors
A total of 11 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
Pull requests merged
A total of 26 pull requests were merged for this release.
NotImplementedwithtyping.Anyndarray.realandimag"dtype[Any]"withdtypein the definiton of...numpy.f2py.get_includefunctionnp.numbersubclassesprint()'s in distutils template handlingGenericAliastest failure for python 3.9.0Checksums
MD5
SHA256
v1.21.0Compare Source
NumPy 1.21.0 Release Notes
The NumPy 1.21.0 release highlights are
PCG64DXSMbitgenerator for random numbers.In addition there are the usual large number of bug fixes and other
improvements.
The Python versions supported for this release are 3.7-3.9. Official
support for Python 3.10 will be added when it is released.
-O3results in many wrong warnings when running the tests.New functions
Add PCG64DXSM BitGenerator
Uses of the PCG64 BitGenerator in a massively-parallel context have
been shown to have statistical weaknesses that were not apparent at the
first release in numpy 1.17. Most users will never observe this weakness
and are safe to continue to use PCG64. We have introduced a new
PCG64DXSM BitGenerator that will eventually become the new default
BitGenerator implementation used by
default_rngin future releases.PCG64DXSM solves the statistical weakness while preserving the
performance and the features of PCG64.
See
upgrading-pcg64for more details.(gh-18906)
Expired deprecations
The
shapeargumentnumpy.unravel_indexcannot bepassed as
dimskeyword argument anymore. (Was deprecated in NumPy1.16.)
(gh-17900)
The function
PyUFunc_GenericFunctionhas been disabled. It wasdeprecated in NumPy 1.19. Users should call the ufunc directly using
the Python API.
(gh-18697)
The function
PyUFunc_SetUsesArraysAsDatahas been disabled. It wasdeprecated in NumPy 1.19.
(gh-18697)
The class
PolyBasehas been removed (deprecated in numpy 1.9.0).Please use the abstract
ABCPolyBaseclass instead.(gh-18963)
The unused
PolyErrorandPolyDomainErrorexceptions are removed.(gh-18963)
Deprecations
The
.dtypeattribute must return adtypeA
DeprecationWarningis now given if the.dtypeattribute of anobject passed into
np.dtypeor as adtype=objargument is not adtype. NumPy will stop attempting to recursively coerce the result of
.dtype.(gh-13578)
Inexact matches for
numpy.convolveandnumpy.correlateare deprecatednumpy.convolveandnumpy.correlatenowemit a warning when there are case insensitive and/or inexact matches
found for
modeargument in the functions. Pass full"same","valid","full"strings instead of"s","v","f"for themodeargument.(gh-17492)
np.typeDicthas been formally deprecatednp.typeDictis a deprecated alias fornp.sctypeDictand has been sofor over 14 years
(6689502).
A deprecation warning will now be issued whenever getting
np.typeDict.(gh-17586)
Exceptions will be raised during array-like creation
When an object raised an exception during access of the special
attributes
__array__or__array_interface__, this exception wasusually ignored. A warning is now given when the exception is anything
but AttributeError. To silence the warning, the type raising the
exception has to be adapted to raise an
AttributeError.(gh-19001)
Four
ndarray.ctypesmethods have been deprecatedFour methods of the
ndarray.ctypesobject have beendeprecated, as they are (undocumentated) implementation artifacts of
their respective properties.
The methods in question are:
_ctypes.get_data(use_ctypes.datainstead)_ctypes.get_shape(use_ctypes.shapeinstead)_ctypes.get_strides(use_ctypes.stridesinstead)_ctypes.get_as_parameter(use_ctypes._as_parameter_instead)(gh-19031)
Expired deprecations
The
shapeargumentnumpy.unravel_index] cannot bepassed as
dimskeyword argument anymore. (Was deprecated in NumPy1.16.)
(gh-17900)
The function
PyUFunc_GenericFunctionhas been disabled. It wasdeprecated in NumPy 1.19. Users should call the ufunc directly using
the Python API.
(gh-18697)
The function
PyUFunc_SetUsesArraysAsDatahas been disabled. It wasdeprecated in NumPy 1.19.
(gh-18697)
Remove deprecated
PolyBaseand unusedPolyErrorandPolyDomainErrorThe class
PolyBasehas been removed (deprecated in numpy 1.9.0).Please use the abstract
ABCPolyBaseclass instead.Furthermore, the unused
PolyErrorandPolyDomainErrorexceptions areremoved from the
numpy.polynomial.(gh-18963)
Compatibility notes
Error type changes in universal functions
The universal functions may now raise different errors on invalid input
in some cases. The main changes should be that a
RuntimeErrorwasreplaced with a more fitting
TypeError. When multiple errors werepresent in the same call, NumPy may now raise a different one.
(gh-15271)
__array_ufunc__argument validationNumPy will now partially validate arguments before calling
__array_ufunc__. Previously, it was possible to pass on invalidarguments (such as a non-existing keyword argument) when dispatch was
known to occur.
(gh-15271)
__array_ufunc__and additional positional argumentsPreviously, all positionally passed arguments were checked for
__array_ufunc__support. In the case ofreduce,accumulate, andreduceatall arguments may be passed by position. This means that whenthey were passed by position, they could previously have been asked to
handle the ufunc call via
__array_ufunc__. Since this depended on theway the arguments were passed (by position or by keyword), NumPy will
now only dispatch on the input and output array. For example, NumPy will
never dispatch on the
wherearray in a reduction such asnp.add.reduce.(gh-15271)
Validate input values in
Generator.uniformChecked that
high - low >= 0innp.random.Generator.uniform. RaisesValueErroriflow > high. Previously out-of-order inputs wereaccepted and silently swapped, so that if
low > high, the valuegenerated was
high + (low - high) * random().(gh-17921)
/usr/includeremoved from default include pathsThe default include paths when building a package with
numpy.distutilsno longer include
/usr/include. This path is normally added by thecompiler, and hardcoding it can be problematic. In case this causes a
problem, please open an issue. A workaround is documented in PR 18658.
(gh-18658)
Changes to comparisons with
dtype=...When the
dtype=(orsignature) arguments to comparison ufuncs(
equal,less, etc.) is used, this will denote the desired outputdtype in the future. This means that:
will give a
FutureWarningthat it will return anobjectarray in thefuture, which currently happens for:
due to the fact that
np.array(None)is already an object array. (Thisalso happens for some other dtypes.)
Since comparisons normally only return boolean arrays, providing any
other dtype will always raise an error in the future and give a
DeprecationWarningnow.(gh-18718)
Changes to
dtypeandsignaturearguments in ufuncsThe universal function arguments
dtypeandsignaturewhich are alsovalid for reduction such as
np.add.reduce(which is the implementationfor
np.sum) will now issue a warning when thedtypeprovided is nota "basic" dtype.
NumPy almost always ignored metadata, byteorder or time units on these
inputs. NumPy will now always ignore it and raise an error if byteorder
or time unit changed. The following are the most important examples of
changes which will give the error. In some cases previously the
information stored was not ignored, in all of these an error is now
raised:
Previously ignored the byte-order (affect if non-native)
The biggest impact is for timedelta or datetimes:
The examples always ignored the time unit "ns":
The following previously did use "ns" (as opposed to
arr.dtype)The same applies for functions like
np.sumwhich use these internally.This change is necessary to achieve consistent handling within NumPy.
If you run into these, in most cases pass for example
dtype=np.timedelta64which clearly denotes a generaltimedelta64without any unit or byte-order defined. If you need to specify the
output dtype precisely, you may do so by either casting the inputs or
providing an output array using
out=.NumPy may choose to allow providing an exact output
dtypehere in thefuture, which would be preceded by a
FutureWarning.(gh-18718)
Ufunc
signature=...anddtype=generalization andcastingThe behaviour for
np.ufunc(1.0, 1.0, signature=...)ornp.ufunc(1.0, 1.0, dtype=...)can now yield different loops in 1.21compared to 1.20 because of changes in promotion. When
signaturewaspreviously used, the casting check on inputs was relaxed, which could
lead to downcasting inputs unsafely especially if combined with
casting="unsafe".Casting is now guaranteed to be safe. If a signature is only partially
provided, for example using
signature=("float64", None, None), thiscould lead to no loop being found (an error). In that case, it is
necessary to provide the complete signature to enforce casting the
inputs. If
dtype="float64"is used or only outputs are set (e.g.signature=(None, None, "float64")the is unchanged. We expect thatvery few users are affected by this change.
Further, the meaning of
dtype="float64"has been slightly modified andnow strictly enforces only the correct output (and not input) DTypes.
This means it is now always equivalent to:
(If the ufunc has two inputs and one output). Since this could lead to
no loop being found in some cases, NumPy will normally also search for
the loop:
if the first search failed. In the future, this behaviour may be
customized to achieve the expected results for more complex ufuncs. (For
some universal functions such as
np.ldexpinputs can have differentDTypes.)
(gh-18880)
Distutils forces strict floating point model on clang
NumPy distutils will now always add the
-ffp-exception-behavior=strictcompiler flag when compiling with clang. Clang defaults to a non-strict
version, which allows the compiler to generate code that does not set
floating point warnings/errors correctly.
(gh-19049)
C API changes
Use of
ufunc->type_resolverand "type tuple"NumPy now normalizes the "type tuple" argument to the type resolver
functions before calling it. Note that in the use of this type resolver
is legacy behaviour and NumPy will not do so when possible. Calling
ufunc->type_resolverorPyUFunc_DefaultTypeResolveris stronglydiscouraged and will now enforce a normalized type tuple if done. Note
that this does not affect providing a type resolver, which is expected
to keep working in most circumstances. If you have an unexpected
use-case for calling the type resolver, please inform the NumPy
developers so that a solution can be found.
(gh-18718)
New Features
Added a mypy plugin for handling platform-specific
numpy.numberprecisionsA mypy plugin is now available for
automatically assigning the (platform-dependent) precisions of certain
numpy.numbersubclasses, including the likes ofnumpy.int_,numpy.intpandnumpy.longlong. See the documentation onscalar types <arrays.scalars.built-in>for a comprehensive overview of the affected classes.
Note that while usage of the plugin is completely optional, without it
the precision of above-mentioned classes will be inferred as
typing.Any.To enable the plugin, one must add it to their mypy [configuration file]
(https://mypy.readthedocs.io/en/stable/config_file.html):
(gh-17843)
Let the mypy plugin manage extended-precision
numpy.numbersubclassesThe mypy plugin, introduced in
numpy/numpy#17843, has
been expanded: the plugin now removes annotations for platform-specific
extended-precision types that are not available to the platform in
question. For example, it will remove
numpy.float128when not available.
Without the plugin all extended-precision types will, as far as mypy
is concerned, be available on all platforms.
To enable the plugin, one must add it to their mypy configuration
file:
(gh-18322)
New
min_digitsargument for printing float valuesA new
min_digitsargument has been added to the dragon4 float printingfunctions
numpy.format_float_positionalandnumpy.format_float_scientific. This kwd guaranteesthat at least the given number of digits will be printed when printing
in unique=True mode, even if the extra digits are unnecessary to
uniquely specify the value. It is the counterpart to the precision
argument which sets the maximum number of digits to be printed. When
unique=False in fixed precision mode, it has no effect and the precision
argument fixes the number of digits.
(gh-18629)
f2py now recognizes Fortran abstract interface blocks
numpy.f2pycan now parse abstract interface blocks.(gh-18695)
BLAS and LAPACK configuration via environment variables
Autodetection of installed BLAS and LAPACK libraries can be bypassed by
using the
NPY_BLAS_LIBSandNPY_LAPACK_LIBSenvironment variables.Instead, the link flags in these environment variables will be used
directly, and the language is assumed to be F77. This is especially
useful in automated builds where the BLAS and LAPACK that are installed
are known exactly. A use case is replacing the actual implementation at
runtime via stub library links.
If
NPY_CBLAS_LIBSis set (optional in addition toNPY_BLAS_LIBS),this will be used as well, by defining
HAVE_CBLASand appending theenvironment variable content to the link flags.
(gh-18737)
A runtime-subcriptable alias has been added for
ndarraynumpy.typing.NDArrayhas been added, a runtime-subscriptable alias fornp.ndarray[Any, np.dtype[~Scalar]]. The new type alias can be used forannotating arrays with a given dtype and unspecified shape.
NumPy does not support the annotating of array shapes as of 1.21,
this is expected to change in the future though (see
646{.interpreted-text role="pep"}).Examples
(gh-18935)
Improvements
Arbitrary
periodoption fornumpy.unwrapThe size of the interval over which phases are unwrapped is no longer
restricted to
2 * pi. This is especially useful for unwrappingdegrees, but can also be used for other intervals.
(gh-16987)
np.uniquenow returns singleNaNWhen
np.uniqueoperated on an array with multipleNaNentries, itsreturn included a
NaNfor each entry that wasNaNin the originalarray. This is now improved such that the returned array contains just
one
NaNas the last element.Also for complex arrays all
NaNvalues are considered equivalent (nomatter whether the
NaNis in the real or imaginary part). As therepresentant for the returned array the smallest one in the
lexicographical order is chosen - see
np.sortfor how thelexicographical order is defined for complex arrays.
(gh-18070)
Generator.rayleighandGenerator.geometricperformance improvedThe performance of Rayleigh and geometric random variate generation in
Generatorhas improved. These are both transformation of exponentialrandom variables and the slow log-based inverse cdf transformation has
been replaced with the Ziggurat-based exponential variate generator.
This change breaks the stream of variates generated when variates from
either of these distributions are produced.
(gh-18666)
Placeholder annotations have been improved
All placeholder annotations, that were previously annotated as
typing.Any, have been improved. Where appropiate they have beenreplaced with explicit function definitions, classes or other
miscellaneous objects.
(gh-18934)
Performance improvements
Improved performance in integer division of NumPy arrays
Integer division of NumPy arrays now uses
libdivide when the divisor is a constant. With
the usage of libdivide and other minor optimizations, there is a large
speedup. The
//operator andnp.floor_dividemakes use of the newchanges.
(gh-17727)
Improve performance of
np.saveandnp.loadfor small arraysnp.saveis now a lot faster for small arrays.np.loadis also faster for small arrays, but only when serializingwith a version >=
(3, 0).Both are done by removing checks that are only relevant for Python 2,
while still maintaining compatibility with arrays which might have been
created by Python 2.
(gh-18657)
Changes
numpy.piecewiseoutput class now matches the input classWhen
numpy.ndarraysubclasses are used on input tonumpy.piecewise, they are passed on to the functions.The output will now be of the same subclass as well.
(gh-18110)
Enable Accelerate Framework
With the release of macOS 11.3, several different issues that numpy was
encountering when using Accelerate Framework's implementation of BLAS
and LAPACK should be resolved. This change enables the Accelerate
Framework as an option on macOS. If additional issues are found, please
file a bug report against Accelerate using the developer feedback
assistant tool (https://developer.apple.com/bug-reporting/). We intend
to address issues promptly and plan to continue supporting and updating
our BLAS and LAPACK libraries.
(gh-18874)
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NumPy 1.20.3 Release Notes
NumPy 1.20.3 is a bugfix release containing several fixes merged to the
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Contributors
A total of 7 people contributed to this release. People with a "+" by
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A total of 15 pull requests were merged for this release.
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NumPy 1,20.2 is a bugfix release containing several fixes merged to the
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their names contributed a patch for the first time.
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A total of 20 pull requests were merged for this release.
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