Fix NumPy 2.0 deprecations via running ruff

[radoering]

I just run the following command:

ruff check --select NPY201 --fix --exclude docs/sphinx/rest_substitutions/snippets/python/converted

to fix numpy deprecations that were removed and thereby result in an exception with numpy 2.0.

See https://numpy.org/devdocs/numpy_2_0_migration_guide.html#numpy-2-0-migration-guide

Fixes #2574
Fixes #2498
Closes #2578

[newville]

Please merge.

[bnavigator]

The unit tests have been missed by this PR:

[ 1232s] =================================== FAILURES ===================================
[ 1232s] __________________________ testFromPoints.testCreate ___________________________
[ 1232s] [gw0] linux -- Python 3.10.14 /usr/bin/python3.10
[ 1232s] self = <unittests.test_lib_floatcanvas_bbox.testFromPoints testMethod=testCreate>
[ 1232s] 
[ 1232s]     def testCreate(self):
[ 1232s]         Pts = N.array( ((5,2),
[ 1232s]                 (3,4),
[ 1232s]                 (1,6),
[ 1232s] >               ), N.float_ )
[ 1232s] 
[ 1232s] unittests/test_lib_floatcanvas_bbox.py:344: 
[ 1232s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[ 1232s] 
[ 1232s] attr = 'float_'
[ 1232s] 
[ 1232s]     def __getattr__(attr):
[ 1232s]         # Warn for expired attributes
[ 1232s]         import warnings
[ 1232s]     
[ 1232s]         if attr == "linalg":
[ 1232s]             import numpy.linalg as linalg
[ 1232s]             return linalg
[ 1232s]         elif attr == "fft":
[ 1232s]             import numpy.fft as fft
[ 1232s]             return fft
[ 1232s]         elif attr == "dtypes":
[ 1232s]             import numpy.dtypes as dtypes
[ 1232s]             return dtypes
[ 1232s]         elif attr == "random":
[ 1232s]             import numpy.random as random
[ 1232s]             return random
[ 1232s]         elif attr == "polynomial":
[ 1232s]             import numpy.polynomial as polynomial
[ 1232s]             return polynomial
[ 1232s]         elif attr == "ma":
[ 1232s]             import numpy.ma as ma
[ 1232s]             return ma
[ 1232s]         elif attr == "ctypeslib":
[ 1232s]             import numpy.ctypeslib as ctypeslib
[ 1232s]             return ctypeslib
[ 1232s]         elif attr == "exceptions":
[ 1232s]             import numpy.exceptions as exceptions
[ 1232s]             return exceptions
[ 1232s]         elif attr == "testing":
[ 1232s]             import numpy.testing as testing
[ 1232s]             return testing
[ 1232s]         elif attr == "matlib":
[ 1232s]             import numpy.matlib as matlib
[ 1232s]             return matlib
[ 1232s]         elif attr == "f2py":
[ 1232s]             import numpy.f2py as f2py
[ 1232s]             return f2py
[ 1232s]         elif attr == "typing":
[ 1232s]             import numpy.typing as typing
[ 1232s]             return typing
[ 1232s]         elif attr == "rec":
[ 1232s]             import numpy.rec as rec
[ 1232s]             return rec
[ 1232s]         elif attr == "char":
[ 1232s]             import numpy.char as char
[ 1232s]             return char
[ 1232s]         elif attr == "array_api":
[ 1232s]             raise AttributeError("`numpy.array_api` is not available from "
[ 1232s]                                  "numpy 2.0 onwards")
[ 1232s]         elif attr == "core":
[ 1232s]             import numpy.core as core
[ 1232s]             return core
[ 1232s]         elif attr == "strings":
[ 1232s]             import numpy.strings as strings
[ 1232s]             return strings
[ 1232s]         elif attr == "distutils":
[ 1232s]             if 'distutils' in __numpy_submodules__:
[ 1232s]                 import numpy.distutils as distutils
[ 1232s]                 return distutils
[ 1232s]             else:
[ 1232s]                 raise AttributeError("`numpy.distutils` is not available from "
[ 1232s]                                      "Python 3.12 onwards")
[ 1232s]     
[ 1232s]         if attr in __future_scalars__:
[ 1232s]             # And future warnings for those that will change, but also give
[ 1232s]             # the AttributeError
[ 1232s]             warnings.warn(
[ 1232s]                 f"In the future `np.{attr}` will be defined as the "
[ 1232s]                 "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
[ 1232s]     
[ 1232s]         if attr in __former_attrs__:
[ 1232s]             raise AttributeError(__former_attrs__[attr])
[ 1232s]     
[ 1232s]         if attr in __expired_attributes__:
[ 1232s] >           raise AttributeError(
[ 1232s]                 f"`np.{attr}` was removed in the NumPy 2.0 release. "
[ 1232s]                 f"{__expired_attributes__[attr]}"
[ 1232s]             )
[ 1232s] E           AttributeError: `np.float_` was removed in the NumPy 2.0 release. Use `np.float64` instead.. Did you mean: 'float16'?
[ 1232s] 
[ 1232s] /usr/lib64/python3.10/site-packages/numpy/__init__.py:397: AttributeError

[ 1232s] ___________________________ testNullBBox.testValues ____________________________
[ 1232s] [gw0] linux -- Python 3.10.14 /usr/bin/python3.10
[ 1232s] self = <unittests.test_lib_floatcanvas_bbox.testNullBBox testMethod=testValues>
[ 1232s] 
[ 1232s]     def testValues(self):
[ 1232s] >       self.assertTrue( N.alltrue(N.isnan(self.B1)) )
[ 1232s] 
[ 1232s] unittests/test_lib_floatcanvas_bbox.py:463: 
[ 1232s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[ 1232s] 
[ 1232s] attr = 'alltrue'
[ 1232s] 
[ 1232s]     def __getattr__(attr):
[ 1232s]         # Warn for expired attributes
[ 1232s]         import warnings
[ 1232s]     
[ 1232s]         if attr == "linalg":
[ 1232s]             import numpy.linalg as linalg
[ 1232s]             return linalg
[ 1232s]         elif attr == "fft":
[ 1232s]             import numpy.fft as fft
[ 1232s]             return fft
[ 1232s]         elif attr == "dtypes":
[ 1232s]             import numpy.dtypes as dtypes
[ 1232s]             return dtypes
[ 1232s]         elif attr == "random":
[ 1232s]             import numpy.random as random
[ 1232s]             return random
[ 1232s]         elif attr == "polynomial":
[ 1232s]             import numpy.polynomial as polynomial
[ 1232s]             return polynomial
[ 1232s]         elif attr == "ma":
[ 1232s]             import numpy.ma as ma
[ 1232s]             return ma
[ 1232s]         elif attr == "ctypeslib":
[ 1232s]             import numpy.ctypeslib as ctypeslib
[ 1232s]             return ctypeslib
[ 1232s]         elif attr == "exceptions":
[ 1232s]             import numpy.exceptions as exceptions
[ 1232s]             return exceptions
[ 1232s]         elif attr == "testing":
[ 1232s]             import numpy.testing as testing
[ 1232s]             return testing
[ 1232s]         elif attr == "matlib":
[ 1232s]             import numpy.matlib as matlib
[ 1232s]             return matlib
[ 1232s]         elif attr == "f2py":
[ 1232s]             import numpy.f2py as f2py
[ 1232s]             return f2py
[ 1232s]         elif attr == "typing":
[ 1232s]             import numpy.typing as typing
[ 1232s]             return typing
[ 1232s]         elif attr == "rec":
[ 1232s]             import numpy.rec as rec
[ 1232s]             return rec
[ 1232s]         elif attr == "char":
[ 1232s]             import numpy.char as char
[ 1232s]             return char
[ 1232s]         elif attr == "array_api":
[ 1232s]             raise AttributeError("`numpy.array_api` is not available from "
[ 1232s]                                  "numpy 2.0 onwards")
[ 1232s]         elif attr == "core":
[ 1232s]             import numpy.core as core
[ 1232s]             return core
[ 1232s]         elif attr == "strings":
[ 1232s]             import numpy.strings as strings
[ 1232s]             return strings
[ 1232s]         elif attr == "distutils":
[ 1232s]             if 'distutils' in __numpy_submodules__:
[ 1232s]                 import numpy.distutils as distutils
[ 1232s]                 return distutils
[ 1232s]             else:
[ 1232s]                 raise AttributeError("`numpy.distutils` is not available from "
[ 1232s]                                      "Python 3.12 onwards")
[ 1232s]     
[ 1232s]         if attr in __future_scalars__:
[ 1232s]             # And future warnings for those that will change, but also give
[ 1232s]             # the AttributeError
[ 1232s]             warnings.warn(
[ 1232s]                 f"In the future `np.{attr}` will be defined as the "
[ 1232s]                 "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
[ 1232s]     
[ 1232s]         if attr in __former_attrs__:
[ 1232s]             raise AttributeError(__former_attrs__[attr])
[ 1232s]     
[ 1232s]         if attr in __expired_attributes__:
[ 1232s]             raise AttributeError(
[ 1232s]                 f"`np.{attr}` was removed in the NumPy 2.0 release. "
[ 1232s]                 f"{__expired_attributes__[attr]}"
[ 1232s]             )
[ 1232s]     
[ 1232s]         if attr == "chararray":
[ 1232s]             warnings.warn(
[ 1232s]                 "`np.chararray` is deprecated and will be removed from "
[ 1232s]                 "the main namespace in the future. Use an array with a string "
[ 1232s]                 "or bytes dtype instead.", DeprecationWarning, stacklevel=2)
[ 1232s]             import numpy.char as char
[ 1232s]             return char.chararray
[ 1232s]     
[ 1232s] >       raise AttributeError("module {!r} has no attribute "
[ 1232s]                              "{!r}".format(__name__, attr))
[ 1232s] E       AttributeError: module 'numpy' has no attribute 'alltrue'
[ 1232s] 
[ 1232s] /usr/lib64/python3.10/site-packages/numpy/__init__.py:410: AttributeError

And so on. Please fix before the 4.2.2 release

[radoering]

The unit tests have been missed by this PR

Interesting. I assume ruff missed that because numpy is not imported directly in the unit test but via a star import from wx.lib.floatcanvas.Utilities.BBox. Lessons learned: ruff cannot replace a full-text search.