Bump pint from 0.9 to 0.16.1

[dependabot-preview]

Bumps pint from 0.9 to 0.16.1.

Changelog

Sourced from pint's changelog.

0.16.1 (2020-09-22)

• Fix unpickling, now it is using the APP_REGISTRY as expected. (Issue #1175)

0.16 (2020-09-13)

• Fixed issue where performing an operation of a Quantity with certain units would perform an in-place unit conversion that modified the operand in addition to the returned value (Issues #1102 & #1144)
• Implements Logarithmic Units like dBm, dB or decade (Issue #71, Thanks Dima Pustakhod, Clark Willison, Giorgio Signorello, Steven Casagrande, Jonathan Wheeler)
• Drop dependency on setuptools pkg_resources to read package resources, using std lib importlib.resources instead. (Issue #1080)

0.15 (2020-08-22)

• Change Quantity and Unit HTML (i.e., Jupyter notebook) repr away from LaTeX to a simpler, more performant pretty-text and table based repr inspired by Sparse and Dask. (Issue #654)
• Add case_sensitive option to registry for case (in)sensitive handling when parsing units (Issue #1145)
• Implement Dask collection interface to support Pint Quantity wrapped Dask arrays.
• Started automatically testing examples in the documentation
• Fixed an exception generated when reducing dimensions with three or more units of the same type
• Fixed right operand power for dimensionless Quantity to reflect numpy behavior. (Issue #1136)
• Eliminated warning when setting a masked value on an underlying MaskedArray.
• Add sort option to formatting.formatter to permit disabling sorting of component units in format string
• Implements Logarithmic Units like dBm, dB or decade (Issue #71, Thanks Dima Pustakhod, Giorgio Signorello, Jonathan Wheeler)

0.14 (2020-07-01)

• Changes required to support Pint-Pandas 0.1.

0.13 (2020-06-17)

• Reinstated support for pickle protocol 0 and 1, which is required by pytables (Issue #1036, Thanks Guido Imperiale)
• Fixed bug with multiplication of Quantity by dict (Issue #1032)
• Bare zeros and NaNs (not wrapped by Quantity) are now gracefully accepted by all numpy operations; e.g. np.stack([Quantity([1, 2], "m"), [0, np.nan]) is now valid, whereas np.stack([Quantity([1, 2], "m"), [3, 4]) will continue raising DimensionalityError.

Commits

• 6b0b531 Preparing release 0.16.1
• b9fed4f Merge #1176
• 2fbd3f8 Linters and CHANGES
• c84d3f4 Makes unpickling work properly using the Application Registry
• ffc05dc Merge #1173
• 3744558 pygments>=2.4 in rtd requirements
• 0613b3d Go back to building the docs in python 3.7
• cbaf713 Back to development: 0.17
• 9a05e60 Preparing release 0.16
• 1fb19df Updated MANIFEST.in
• Additional commits viewable in compare view

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[Crocmagnon]

That would, among other things, add support for the @alias directive (see https://pint.readthedocs.io/en/latest/defining.html)

[dependabot-preview]

Superseded by #85.