chore(deps): update dependency pytest to v6.2.5

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
pytest (changelog)	6.2.0 -> 6.2.5

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Release Notes

pytest-dev/pytest (pytest)

v6.2.5

Compare Source

pytest 6.2.5 (2021-08-29)

Trivial/Internal Changes

• #​8494: Python 3.10 is now supported.
• #​9040: Enable compatibility with pluggy 1.0 or later.

v6.2.4

Compare Source

pytest 6.2.4 (2021-05-04)

Bug Fixes

• #​8539: Fixed assertion rewriting on Python 3.10.

v6.2.3

Compare Source

pytest 6.2.3 (2021-04-03)

Bug Fixes

• #​8414: pytest used to create directories under /tmp with world-readable
  permissions. This means that any user in the system was able to read
  information written by tests in temporary directories (such as those created by
  the tmp_path/tmpdir fixture). Now the directories are created with
  private permissions.

  pytest used silenty use a pre-existing /tmp/pytest-of-<username> directory,
  even if owned by another user. This means another user could pre-create such a
  directory and gain control of another user's temporary directory. Now such a
  condition results in an error.

v6.2.2

Compare Source

pytest 6.2.2 (2021-01-25)

Bug Fixes

• #​8152: Fixed "(<Skipped instance>)" being shown as a skip reason in the verbose test summary line when the reason is empty.
• #​8249: Fix the faulthandler plugin for occasions when running with twisted.logger and using pytest --capture=no.

v6.2.1

Compare Source

pytest 6.2.1 (2020-12-15)

Bug Fixes

• #​7678: Fixed bug where ImportPathMismatchError would be raised for files compiled in
  the host and loaded later from an UNC mounted path (Windows).

• #​8132: Fixed regression in approx: in 6.2.0 approx no longer raises
  TypeError when dealing with non-numeric types, falling back to normal comparison.
  Before 6.2.0, array types like tf.DeviceArray fell through to the scalar case,
  and happened to compare correctly to a scalar if they had only one element.
  After 6.2.0, these types began failing, because they inherited neither from
  standard Python number hierarchy nor from numpy.ndarray.

  approx now converts arguments to numpy.ndarray if they expose the array
  protocol and are not scalars. This treats array-like objects like numpy arrays,
  regardless of size.

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