search

mathematicalmichael / mud

https://mud.dataconsistent.com
MIT License
2 stars 2 forks source link

Bump the python-packages group across 1 directory with 3 updates #84

Closed dependabot[bot] closed 4 months ago

dependabot[bot] commented 4 months ago

Updates the requirements on numpy, black[jupyter] and mypy to permit the latest version. Updates numpy to 2.0.0

Release notes

Sourced from numpy's releases.

v2.0.0

NumPy 2.0.0 Release Notes

NumPy 2.0.0 is the first major release since 2006. It is the result of 11 months of development since the last feature release and is the work of 212 contributors spread over 1078 pull requests. It contains a large number of exciting new features as well as changes to both the Python and C APIs.

This major release includes breaking changes that could not happen in a regular minor (feature) release - including an ABI break, changes to type promotion rules, and API changes which may not have been emitting deprecation warnings in 1.26.x. Key documents related to how to adapt to changes in NumPy 2.0, in addition to these release notes, include:

Highlights

Highlights of this release include:

  • New features:
    • A new variable-length string dtype, numpy.dtypes.StringDType and a new numpy.strings namespace with performant ufuncs for string operations,
    • Support for float32 and longdouble in all numpy.fft functions,
    • Support for the array API standard in the main numpy namespace.
  • Performance improvements:
    • Sorting functions sort, argsort, partition, argpartition have been accelerated through the use of the Intel x86-simd-sort and Google Highway libraries, and may see large (hardware-specific) speedups,
    • macOS Accelerate support and binary wheels for macOS >=14, with significant performance improvements for linear algebra operations on macOS, and wheels that are about 3 times smaller,
    • numpy.char fixed-length string operations have been accelerated by implementing ufuncs that also support numpy.dtypes.StringDType in addition to the fixed-length string dtypes,
    • A new tracing and introspection API, numpy.lib.introspect.opt_func_info, to determine which hardware-specific kernels are available and will be dispatched to.
    • numpy.save now uses pickle protocol version 4 for saving arrays with object dtype, which allows for pickle objects larger than 4GB and improves saving speed by about 5% for large arrays.
  • Python API improvements:

... (truncated)

Commits
  • 1d49c7f Merge pull request #26698 from charris/prepare-2.0.0
  • 2103511 DOC: Remove duplicate in author list.
  • db8030e BUG: Change cibuildwheel version [wheel build]
  • 1a68264 REL: Prepare for the NumPy 2.0.0 release [wheel build]
  • c8665ba Merge pull request #26696 from charris/backport-26582
  • 103f4dd Merge pull request #26697 from charris/backport-25963
  • c193dcd Merge pull request #26695 from charris/backport-26667
  • 8fa8191 BUG: Fix bug in numpy.pad() (#25963)
  • ece3559 BUG: weighted nanpercentile, nanquantile and multi-dim q (#26582)
  • b31e195 BUG: Adds asanyarray to start of linalg.cross (#26667)
  • Additional commits viewable in compare view


Updates black[jupyter] to 24.4.2

Release notes

Sourced from black[jupyter]'s releases.

24.4.2

This is a bugfix release to fix two regressions in the new f-string parser introduced in 24.4.1.

Parser

  • Fix regression where certain complex f-strings failed to parse (#4332)

Performance

  • Fix bad performance on certain complex string literals (#4331)
Changelog

Sourced from black[jupyter]'s changelog.

24.4.2

This is a bugfix release to fix two regressions in the new f-string parser introduced in 24.4.1.

Parser

  • Fix regression where certain complex f-strings failed to parse (#4332)

Performance

  • Fix bad performance on certain complex string literals (#4331)

24.4.1

Highlights

  • Add support for the new Python 3.12 f-string syntax introduced by PEP 701 (#3822)

Stable style

  • Fix crash involving indented dummy functions containing newlines (#4318)

Parser

  • Add support for type parameter defaults, a new syntactic feature added to Python 3.13 by PEP 696 (#4327)

Integrations

  • Github Action now works even when git archive is skipped (#4313)

24.4.0

Stable style

  • Fix unwanted crashes caused by AST equivalency check (#4290)

Preview style

  • if guards in case blocks are now wrapped in parentheses when the line is too long. (#4269)
  • Stop moving multiline strings to a new line unless inside brackets (#4289)

Integrations

  • Add a new option use_pyproject to the GitHub Action psf/black. This will read the Black version from pyproject.toml. (#4294)

24.3.0

... (truncated)

Commits


Updates mypy to 1.10.0

Changelog

Sourced from mypy's changelog.

Mypy Release Notes

Next release

Mypy 1.10

We’ve just uploaded mypy 1.10 to the Python Package Index (PyPI). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows:

python3 -m pip install -U mypy

You can read the full documentation for this release on Read the Docs.

Support TypeIs (PEP 742)

Mypy now supports TypeIs (PEP 742), which allows functions to narrow the type of a value, similar to isinstance(). Unlike TypeGuard, TypeIs can narrow in both the if and else branches of an if statement:

from typing_extensions import TypeIs

def is_str(s: object) -> TypeIs[str]:
return isinstance(s, str)


def f(o: str | int) -> None:
if is_str(o):
# Type of o is 'str'
...
else:
# Type of o is 'int'
...

TypeIs will be added to the typing module in Python 3.13, but it can be used on earlier Python versions by importing it from typing_extensions.

This feature was contributed by Jelle Zijlstra (PR 16898).

Support TypeVar Defaults (PEP 696)

PEP 696 adds support for type parameter defaults. Example:

from typing import Generic
from typing_extensions import TypeVar

</tr></table>

... (truncated)

Commits


Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore major version` will close this group update PR and stop Dependabot creating any more for the specific dependency's major version (unless you unignore this specific dependency's major version or upgrade to it yourself) - `@dependabot ignore minor version` will close this group update PR and stop Dependabot creating any more for the specific dependency's minor version (unless you unignore this specific dependency's minor version or upgrade to it yourself) - `@dependabot ignore ` will close this group update PR and stop Dependabot creating any more for the specific dependency (unless you unignore this specific dependency or upgrade to it yourself) - `@dependabot unignore ` will remove all of the ignore conditions of the specified dependency - `@dependabot unignore ` will remove the ignore condition of the specified dependency and ignore conditions
dependabot[bot] commented 4 months ago

Superseded by #85.