advanced/conditional-openapi.md: how-to/conditional-openapi.md
      advanced/extending-openapi.md: how-to/extending-openapi.md
      advanced/testing-database.md: how-to/testing-database.md
  mkdocstrings:
    handlers:
      python:
        options:
          extensions:
          - griffe_typingdoc
          show_root_heading: true
          show_if_no_docstring: true
          preload_modules:

* ⬆ Bump pypa/gh-action-pypi-publish from 1.10.1 to 1.10.3. PR [#12386](https://github.com/fastapi/fastapi/pull/12386) by [@dependabot[bot]](https://github.com/apps/dependabot).
* ⬆ Bump mkdocstrings[python] from 0.25.1 to 0.26.1. PR [#12371](https://github.com/fastapi/fastapi/pull/12371) by [@dependabot[bot]](https://github.com/apps/dependabot).

It's a great tool, very underrated. It should be way more popular than many Flask plug-ins out there. It might be due to its documentation being too concise and abstract.

This solved having to write YAML (another syntax) inside of Python docstrings.

This combination of Flask, Flask-apispec with Marshmallow and Webargs was my favorite backend stack until building **FastAPI**.

    of sometimes* get reflected in already-traced `tf.function` traces.
*   Add the `Conv1DTranspose` layer.
*   Refine the semantics of `SensitivitySpecificityBase` derived metrics. See
    the updated API docstrings for
    [`tf.keras.metrics.SensitivityAtSpecificity`](https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/metrics/SensitivityAtSpecificity)
    and