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CasperWA / voila-optimade-client

Import structures in AiiDA lab using OPTIMADE
MIT License
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Update optimade requirement from ~=1.0.1 to ~=1.0.2 in /.aiidalab #587

Closed dependabot[bot] closed 7 months ago

dependabot[bot] commented 7 months ago

Updates the requirements on optimade to permit the latest version.

Release notes

Sourced from optimade's releases.

v1.0.2

Changelog

v1.0.2 (2024-01-11)

Full Changelog

Implemented enhancements:

  • Client: counting number of matching entries when data_returned is not available #1924
  • Client: add ability to count the number of matches for a filter using binary search over pagination #1925 (ml-evs)

Merged pull requests:

* This Changelog was automatically generated by github_changelog_generator

Changelog

Sourced from optimade's changelog.

v1.0.2 (2024-01-11)

Full Changelog

Implemented enhancements:

  • Client: counting number of matching entries when data_returned is not available #1924
  • Client: add ability to count the number of matches for a filter using binary search over pagination #1925 (ml-evs)

Merged pull requests:

v1.0.1 (2023-12-04)

Full Changelog

Closed issues:

  • Validator does not error on empty endpoints #1890
  • Provider fields not served when already prefixed in database #1883
  • Other potential bandaids to pull off before v1.0.0 #1847

Merged pull requests:

  • Add optional test for whether entry endpoints have any actual entries #1891 (ml-evs)

v1.0.0 (2023-11-09)

Full Changelog

optimade-python-tools has reached v1.0.0!

We have decided to make this first major release at this point due to the arduous migration to pydantic v2 between v1.0.0 and v0.25.3. This will allow for improved compatibility with the rest of the ecosystem, plus all of the performance and ergonomics benefits of the new pydantic.

If you are using optimade-python-tools primarily as a library, then you may need to make some code changes to support the new version. For example, the underlying API for dealing with the pydantic models has changed (e.g., model.dict() is now model.model_dump()) -- a full migration guide can be found in the pydantic docs. Additionally, any cases where the underlying JSON schemas were being modified may need to be updated; internally we are pretty much exclusively operating on the pydantic model objects without needing to modify the raw schemas anymore.

Going forward, v1.0.x will be the last series to support v1.1 of the OPTIMADE specification, with future versions of the package v1.x.y adding features from the pre-release of OPTIMADE v1.2.

A branch will be maintained for the v0.25.x series will be maintained for those who are stuck on pydantic v1 and run into bugs. Please make it clear in any bug reports if you are using this version.

Fixed bugs:

  • Deserialization regressions: cannot resolve child databases in client #1843
  • Performance regressions following pydantic update #1835

Closed issues:

... (truncated)

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dependabot[bot] commented 7 months ago

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.