chore(deps): update minor updates

[renovate]

This PR contains the following updates:

Package	Type	Update	Change	Age	Adoption	Passing	Confidence
actions/checkout	action	digest	692973e -> eef6144
astropy	dependencies	patch	6.1.3 -> 6.1.4
numpy (source, changelog)	dependencies	patch	2.1.1 -> 2.1.2

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Release Notes

astropy/astropy (astropy)

v6.1.4

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Bug Fixes

astropy.coordinates
^^^^^^^^^^^^^^^^^^^

• Keep Latitude from printing long input arrays in their entirety when failing
  limits check in _validate_angles, indicating their range instead. [#​13997]

• Avoid some components not being included in table output of coordinates if
  the representation type was "unitspherical".

  In the process, also ensured that one can pass in the radial_velocity
  keyword argument if one uses differential_type="radial". [#​16999]

astropy.io.votable
^^^^^^^^^^^^^^^^^^

• Ensure proper handling of null values during BINARY2 serialization. Previously, masks were handled in two different ways for BINARY2 serialization, resulting in incorrect handling of null values and errors. [#​16091]

astropy.stats
^^^^^^^^^^^^^

• Fixed a bug in biweight_location, biweight_scale, and
  biweight_midvariance where the returned array shape would be wrong if
  the input array had an axis length of 1 along any axis that was not
  included in the axis keyword. Also fixed a bug in these same functions
  where for constant data and axis set to a tuple containing all axes, the
  returned value would be NaN instead of the constant value. [#​16964]

astropy.table
^^^^^^^^^^^^^

• Ensure that initializing a QTable with explicit units` also succeeds if
  one of the units is u.one. [#​17048]

astropy.units
^^^^^^^^^^^^^

• An exception is now raised if it is attempted to create a unit with a
  scale of zero, avoiding bugs further downstream (including surprising
  ones, such as a comparison of np.ma.masked == u.one leading to
  a ZeroDivisionError). [#​17048]

astropy.wcs
^^^^^^^^^^^

• Fix a bug that caused the results from local_partial_pixel_derivative to be incorrect when using normalize_by_world=True (the matrix was previously normalized along the wrong axis) [#​17003]

Other Changes and Additions

• Minimal requirement for (optional dependency) matplotlib was bumped
  to 3.5.0, which is the oldest version with support for Python 3.10 [#​16993]

numpy/numpy (numpy)

v2.1.2

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