Skip to content

Conversation

@dependabot-preview
Copy link

Bumps pydantic from 1.4 to 1.7.2.

Release notes

Sourced from pydantic's releases.

v1.7.2 (2020-11-01)

See Changelog.

Thank you to pydantic's sponsors: @timdrijvers, @BCarley, @chdsbd, @tiangolo, @matin, @linusg, @kevinalh, @jorgecarleitao, @koxudaxi, @primer-api, @mkeen for their kind support.

  • fix slow GenericModel concrete model creation, allow GenericModel concrete name reusing in module, #2078 by @MrMrRobat
  • keep the order of the fields when validate_assignment is set, #2073 by @PrettyWood
  • forward all the params of the stdlib dataclass when converted into pydantic dataclass, #2065 by @PrettyWood

v1.7.1 (2020-10-28)

See Changelog.

Thank you to pydantic's sponsors: @timdrijvers, @BCarley, @chdsbd, @tiangolo, @matin, @linusg, @kevinalh, @jorgecarleitao, @koxudaxi, @primer-api, @mkeen for their kind support.

  • fix annotation of validate_arguments when passing configuration as argument, #2055 by @layday
  • Fix mypy assignment error when using PrivateAttr, #2048 by @aphedges
  • fix underscore_attrs_are_private causing TypeError when overriding __init__, #2047 by @samuelcolvin
  • Fixed regression introduced in v1.7 involving exception handling in field validators when validate_assignment=True, #2044 by @johnsabath
  • fix: pydantic dataclass can inherit from stdlib dataclass and Config.arbitrary_types_allowed is supported, #2042 by @PrettyWood

v1.7 (2020-10-26)

See Changelog.

Thank you to pydantic's sponsors: @timdrijvers, @BCarley, @chdsbd, @tiangolo, @matin, @linusg, @kevinalh, @jorgecarleitao, @koxudaxi, @primer-api for their kind support.

Highlights

Changes

  • Breaking Change: remove __field_defaults__, add default_factory support with BaseModel.construct. Use .get_default() method on fields in __fields__ attribute instead, #1732 by @PrettyWood
  • Rearrange CI to run linting as a separate job, split install recipes for different tasks, #2020 by @samuelcolvin
  • Allows subclasses of generic models to make some, or all, of the superclass's type parameters concrete, while also defining new type parameters in the subclass, #2005 by @choogeboom
  • Call validator with the correct values parameter type in BaseModel.__setattr__, when validate_assignment = True in model config, #1999 by @me-ransh
  • Force fields.Undefined to be a singleton object, fixing inherited generic model schemas, #1981 by @daviskirk
  • Include tests in source distributions, #1976 by @sbraz
  • Add ability to use min_length/max_length constraints with secret types, #1974 by @uriyyo
Changelog

Sourced from pydantic's changelog.

v1.7.2 (2020-11-01)

  • fix slow GenericModel concrete model creation, allow GenericModel concrete name reusing in module, #2078 by @MrMrRobat
  • keep the order of the fields when validate_assignment is set, #2073 by @PrettyWood
  • forward all the params of the stdlib dataclass when converted into pydantic dataclass, #2065 by @PrettyWood

v1.7.1 (2020-10-28)

Thank you to pydantic's sponsors: @timdrijvers, @BCarley, @chdsbd, @tiangolo, @matin, @linusg, @kevinalh, @jorgecarleitao, @koxudaxi, @primer-api, @mkeen for their kind support.

  • fix annotation of validate_arguments when passing configuration as argument, #2055 by @layday
  • Fix mypy assignment error when using PrivateAttr, #2048 by @aphedges
  • fix underscore_attrs_are_private causing TypeError when overriding __init__, #2047 by @samuelcolvin
  • Fixed regression introduced in v1.7 involving exception handling in field validators when validate_assignment=True, #2044 by @johnsabath
  • fix: pydantic dataclass can inherit from stdlib dataclass and Config.arbitrary_types_allowed is supported, #2042 by @PrettyWood

v1.7 (2020-10-26)

Thank you to pydantic's sponsors: @timdrijvers, @BCarley, @chdsbd, @tiangolo, @matin, @linusg, @kevinalh, @jorgecarleitao, @koxudaxi, @primer-api for their kind support.

Highlights

Changes

  • Breaking Change: remove __field_defaults__, add default_factory support with BaseModel.construct. Use .get_default() method on fields in __fields__ attribute instead, #1732 by @PrettyWood
  • Rearrange CI to run linting as a separate job, split install recipes for different tasks, #2020 by @samuelcolvin
  • Allows subclasses of generic models to make some, or all, of the superclass's type parameters concrete, while also defining new type parameters in the subclass, #2005 by @choogeboom
  • Call validator with the correct values parameter type in BaseModel.__setattr__, when validate_assignment = True in model config, #1999 by @me-ransh
  • Force fields.Undefined to be a singleton object, fixing inherited generic model schemas, #1981 by @daviskirk
  • Include tests in source distributions, #1976 by @sbraz
  • Add ability to use min_length/max_length constraints with secret types, #1974 by @uriyyo
  • Also check root_validators when validate_assignment is on, #1971 by @PrettyWood
  • Fix const validators not running when custom validators are present, #1957 by @hmvp
  • add deque to field types, #1935 by @wozniakty
  • add basic support for python 3.9, #1832 by @PrettyWood
  • Fix typo in the anchor of exporting_models.md#modelcopy and incorrect description, #1821 by @KimMachineGun
  • Added ability for BaseSettings to read "secret files", #1820 by @mdgilene
Commits
  • 6853032 prepare for v1.7.2 release
  • 6c50a86 Bump codecov/codecov-action from v1.0.13 to v1.0.14 (#2080)
  • 4a09447 Fix generics creation time and allow model name reusing (#2078)
  • 4680940 fix: keep the order of the fields when validate_assignment is set (#2075)
  • b3f7b28 fix: forward all the params of the stdlib dataclass when converted into _py...
  • 9af8f11 fix typo in example secret filename (#2074)
  • 8dcc87c correct history
  • 4fb8003 uprev and create history
  • 6b1a0bf Prevent fields from being deleted from BaseModel.dict when a field valida...
  • 0b9cd4e fix: pydantic dataclass can inherit from stdlib dataclass and `arbitrary_type...
  • Additional commits viewable in compare view

Dependabot compatibility score

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot merge will merge this PR after your CI passes on it
  • @dependabot squash and merge will squash and merge this PR after your CI passes on it
  • @dependabot cancel merge will cancel a previously requested merge and block automerging
  • @dependabot reopen will reopen this PR if it is closed
  • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
  • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
  • @dependabot use these labels will set the current labels as the default for future PRs for this repo and language
  • @dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language
  • @dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language
  • @dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language
  • @dependabot badge me will comment on this PR with code to add a "Dependabot enabled" badge to your readme

Additionally, you can set the following in your Dependabot dashboard:

  • Update frequency (including time of day and day of week)
  • Pull request limits (per update run and/or open at any time)
  • Out-of-range updates (receive only lockfile updates, if desired)
  • Security updates (receive only security updates, if desired)

Bumps [pydantic](https://github.com/samuelcolvin/pydantic) from 1.4 to 1.7.2.
- [Release notes](https://github.com/samuelcolvin/pydantic/releases)
- [Changelog](https://github.com/samuelcolvin/pydantic/blob/master/HISTORY.md)
- [Commits](pydantic/pydantic@v1.4...v1.7.2)

Signed-off-by: dependabot-preview[bot] <support@dependabot.com>
@dependabot-preview dependabot-preview bot added the dependencies Pull requests that update a dependency file label Nov 2, 2020
@dependabot-preview
Copy link
Author

Superseded by #139.

@dependabot-preview dependabot-preview bot deleted the dependabot/pip/pydantic-1.7.2 branch December 1, 2020 13:20
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

dependencies Pull requests that update a dependency file

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant