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deanishe / alfred-convert

Convert between different units in Alfred
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Bump pint from 0.9 to 0.16 #78

Closed dependabot-preview[bot] closed 3 years ago

dependabot-preview[bot] commented 4 years ago

Bumps pint from 0.9 to 0.16.

Changelog

Sourced from pint's changelog.

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. (Issue #1050, Thanks Guido Imperiale)
  • NaN is now treated the same as zero in addition, subtraction, equality, and disequality (Issue #1051, Thanks Guido Imperiale)
  • Fixed issue where quantities with a very large magnitude would throw an IndexError when using to_compact()
  • Fixed crash when a Unit with prefix is declared for the first time while a Context
Commits


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dependabot-preview[bot] commented 3 years ago

Superseded by #79.