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phivenv/Lib/site-packages/numpy-2.0.2.dist-info/METADATA ADDED
@@ -0,0 +1,1065 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Metadata-Version: 2.1
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+ Name: numpy
3
+ Version: 2.0.2
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+ Summary: Fundamental package for array computing in Python
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786
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787
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790
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798
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+ Nothing in this License shall be construed as excluding or limiting
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+ otherwise be available to you under applicable patent law.
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+
817
+ 12. No Surrender of Others' Freedom.
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819
+ If conditions are imposed on you (whether by court order, agreement or
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822
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823
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824
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825
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826
+ the Program, the only way you could satisfy both those terms and this
827
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828
+
829
+ 13. Use with the GNU Affero General Public License.
830
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831
+ Notwithstanding any other provision of this License, you have
832
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833
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834
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835
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836
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837
+ section 13, concerning interaction through a network will apply to the
838
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839
+
840
+ 14. Revised Versions of this License.
841
+
842
+ The Free Software Foundation may publish revised and/or new versions of
843
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844
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845
+ address new problems or concerns.
846
+
847
+ Each version is given a distinguishing version number. If the
848
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849
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850
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851
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852
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853
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854
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855
+
856
+ If the Program specifies that a proxy can decide which future
857
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858
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859
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860
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861
+ Later license versions may give you additional or different
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863
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864
+ later version.
865
+
866
+ 15. Disclaimer of Warranty.
867
+
868
+ THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
869
+ APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
870
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871
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872
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873
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874
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875
+ ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
876
+
877
+ 16. Limitation of Liability.
878
+
879
+ IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
880
+ WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
881
+ THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
882
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883
+ USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
884
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885
+ PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
886
+ EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
887
+ SUCH DAMAGES.
888
+
889
+ 17. Interpretation of Sections 15 and 16.
890
+
891
+ If the disclaimer of warranty and limitation of liability provided
892
+ above cannot be given local legal effect according to their terms,
893
+ reviewing courts shall apply local law that most closely approximates
894
+ an absolute waiver of all civil liability in connection with the
895
+ Program, unless a warranty or assumption of liability accompanies a
896
+ copy of the Program in return for a fee.
897
+
898
+ END OF TERMS AND CONDITIONS
899
+
900
+ How to Apply These Terms to Your New Programs
901
+
902
+ If you develop a new program, and you want it to be of the greatest
903
+ possible use to the public, the best way to achieve this is to make it
904
+ free software which everyone can redistribute and change under these terms.
905
+
906
+ To do so, attach the following notices to the program. It is safest
907
+ to attach them to the start of each source file to most effectively
908
+ state the exclusion of warranty; and each file should have at least
909
+ the "copyright" line and a pointer to where the full notice is found.
910
+
911
+ <one line to give the program's name and a brief idea of what it does.>
912
+ Copyright (C) <year> <name of author>
913
+
914
+ This program is free software: you can redistribute it and/or modify
915
+ it under the terms of the GNU General Public License as published by
916
+ the Free Software Foundation, either version 3 of the License, or
917
+ (at your option) any later version.
918
+
919
+ This program is distributed in the hope that it will be useful,
920
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
921
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
922
+ GNU General Public License for more details.
923
+
924
+ You should have received a copy of the GNU General Public License
925
+ along with this program. If not, see <http://www.gnu.org/licenses/>.
926
+
927
+ Also add information on how to contact you by electronic and paper mail.
928
+
929
+ If the program does terminal interaction, make it output a short
930
+ notice like this when it starts in an interactive mode:
931
+
932
+ <program> Copyright (C) <year> <name of author>
933
+ This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
934
+ This is free software, and you are welcome to redistribute it
935
+ under certain conditions; type `show c' for details.
936
+
937
+ The hypothetical commands `show w' and `show c' should show the appropriate
938
+ parts of the General Public License. Of course, your program's commands
939
+ might be different; for a GUI interface, you would use an "about box".
940
+
941
+ You should also get your employer (if you work as a programmer) or school,
942
+ if any, to sign a "copyright disclaimer" for the program, if necessary.
943
+ For more information on this, and how to apply and follow the GNU GPL, see
944
+ <http://www.gnu.org/licenses/>.
945
+
946
+ The GNU General Public License does not permit incorporating your program
947
+ into proprietary programs. If your program is a subroutine library, you
948
+ may consider it more useful to permit linking proprietary applications with
949
+ the library. If this is what you want to do, use the GNU Lesser General
950
+ Public License instead of this License. But first, please read
951
+ <http://www.gnu.org/philosophy/why-not-lgpl.html>.
952
+ Classifier: Development Status :: 5 - Production/Stable
953
+ Classifier: Intended Audience :: Science/Research
954
+ Classifier: Intended Audience :: Developers
955
+ Classifier: License :: OSI Approved :: BSD License
956
+ Classifier: Programming Language :: C
957
+ Classifier: Programming Language :: Python
958
+ Classifier: Programming Language :: Python :: 3
959
+ Classifier: Programming Language :: Python :: 3.9
960
+ Classifier: Programming Language :: Python :: 3.10
961
+ Classifier: Programming Language :: Python :: 3.11
962
+ Classifier: Programming Language :: Python :: 3.12
963
+ Classifier: Programming Language :: Python :: 3 :: Only
964
+ Classifier: Programming Language :: Python :: Implementation :: CPython
965
+ Classifier: Topic :: Software Development
966
+ Classifier: Topic :: Scientific/Engineering
967
+ Classifier: Typing :: Typed
968
+ Classifier: Operating System :: Microsoft :: Windows
969
+ Classifier: Operating System :: POSIX
970
+ Classifier: Operating System :: Unix
971
+ Classifier: Operating System :: MacOS
972
+ Project-URL: Homepage, https://numpy.org
973
+ Project-URL: Documentation, https://numpy.org/doc/
974
+ Project-URL: Source, https://github.com/numpy/numpy
975
+ Project-URL: Download, https://pypi.org/project/numpy/#files
976
+ Project-URL: Tracker, https://github.com/numpy/numpy/issues
977
+ Project-URL: Release notes, https://numpy.org/doc/stable/release
978
+ Requires-Python: >=3.9
979
+ Description-Content-Type: text/markdown
980
+
981
+ <h1 align="center">
982
+ <img src="https://raw.githubusercontent.com/numpy/numpy/main/branding/logo/primary/numpylogo.svg" width="300">
983
+ </h1><br>
984
+
985
+
986
+ [![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](
987
+ https://numfocus.org)
988
+ [![PyPI Downloads](https://img.shields.io/pypi/dm/numpy.svg?label=PyPI%20downloads)](
989
+ https://pypi.org/project/numpy/)
990
+ [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/numpy.svg?label=Conda%20downloads)](
991
+ https://anaconda.org/conda-forge/numpy)
992
+ [![Stack Overflow](https://img.shields.io/badge/stackoverflow-Ask%20questions-blue.svg)](
993
+ https://stackoverflow.com/questions/tagged/numpy)
994
+ [![Nature Paper](https://img.shields.io/badge/DOI-10.1038%2Fs41586--020--2649--2-blue)](
995
+ https://doi.org/10.1038/s41586-020-2649-2)
996
+ [![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/numpy/numpy/badge)](https://securityscorecards.dev/viewer/?uri=github.com/numpy/numpy)
997
+
998
+
999
+ NumPy is the fundamental package for scientific computing with Python.
1000
+
1001
+ - **Website:** https://www.numpy.org
1002
+ - **Documentation:** https://numpy.org/doc
1003
+ - **Mailing list:** https://mail.python.org/mailman/listinfo/numpy-discussion
1004
+ - **Source code:** https://github.com/numpy/numpy
1005
+ - **Contributing:** https://www.numpy.org/devdocs/dev/index.html
1006
+ - **Bug reports:** https://github.com/numpy/numpy/issues
1007
+ - **Report a security vulnerability:** https://tidelift.com/docs/security
1008
+
1009
+ It provides:
1010
+
1011
+ - a powerful N-dimensional array object
1012
+ - sophisticated (broadcasting) functions
1013
+ - tools for integrating C/C++ and Fortran code
1014
+ - useful linear algebra, Fourier transform, and random number capabilities
1015
+
1016
+ Testing:
1017
+
1018
+ NumPy requires `pytest` and `hypothesis`. Tests can then be run after installation with:
1019
+
1020
+ python -c "import numpy, sys; sys.exit(numpy.test() is False)"
1021
+
1022
+ Code of Conduct
1023
+ ----------------------
1024
+
1025
+ NumPy is a community-driven open source project developed by a diverse group of
1026
+ [contributors](https://numpy.org/teams/). The NumPy leadership has made a strong
1027
+ commitment to creating an open, inclusive, and positive community. Please read the
1028
+ [NumPy Code of Conduct](https://numpy.org/code-of-conduct/) for guidance on how to interact
1029
+ with others in a way that makes our community thrive.
1030
+
1031
+ Call for Contributions
1032
+ ----------------------
1033
+
1034
+ The NumPy project welcomes your expertise and enthusiasm!
1035
+
1036
+ Small improvements or fixes are always appreciated. If you are considering larger contributions
1037
+ to the source code, please contact us through the [mailing
1038
+ list](https://mail.python.org/mailman/listinfo/numpy-discussion) first.
1039
+
1040
+ Writing code isn’t the only way to contribute to NumPy. You can also:
1041
+ - review pull requests
1042
+ - help us stay on top of new and old issues
1043
+ - develop tutorials, presentations, and other educational materials
1044
+ - maintain and improve [our website](https://github.com/numpy/numpy.org)
1045
+ - develop graphic design for our brand assets and promotional materials
1046
+ - translate website content
1047
+ - help with outreach and onboard new contributors
1048
+ - write grant proposals and help with other fundraising efforts
1049
+
1050
+ For more information about the ways you can contribute to NumPy, visit [our website](https://numpy.org/contribute/).
1051
+ If you’re unsure where to start or how your skills fit in, reach out! You can
1052
+ ask on the mailing list or here, on GitHub, by opening a new issue or leaving a
1053
+ comment on a relevant issue that is already open.
1054
+
1055
+ Our preferred channels of communication are all public, but if you’d like to
1056
+ speak to us in private first, contact our community coordinators at
1057
+ numpy-team@googlegroups.com or on Slack (write numpy-team@googlegroups.com for
1058
+ an invitation).
1059
+
1060
+ We also have a biweekly community call, details of which are announced on the
1061
+ mailing list. You are very welcome to join.
1062
+
1063
+ If you are new to contributing to open source, [this
1064
+ guide](https://opensource.guide/how-to-contribute/) helps explain why, what,
1065
+ and how to successfully get involved.
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@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ Wheel-Version: 1.0
2
+ Generator: meson
3
+ Root-Is-Purelib: false
4
+ Tag: cp39-cp39-win_amd64
phivenv/Lib/site-packages/numpy-2.0.2.dist-info/entry_points.txt ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ [array_api]
2
+ numpy = numpy
3
+
4
+ [pyinstaller40]
5
+ hook-dirs = numpy:_pyinstaller_hooks_dir
6
+
7
+ [console_scripts]
8
+ f2py = numpy.f2py.f2py2e:main
9
+ numpy-config = numpy._configtool:main
10
+
phivenv/Lib/site-packages/numpy.libs/.load-order-numpy-2.0.2 ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ libscipy_openblas64_-caad452230ae4ddb57899b8b3a33c55c.dll
2
+ msvcp140-23ebcc0b37c8e3d074511f362feac48b.dll
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1
+ """
2
+ Contains the core of NumPy: ndarray, ufuncs, dtypes, etc.
3
+
4
+ Please note that this module is private. All functions and objects
5
+ are available in the main ``numpy`` namespace - use that instead.
6
+
7
+ """
8
+
9
+ import os
10
+
11
+ from numpy.version import version as __version__
12
+
13
+
14
+ # disables OpenBLAS affinity setting of the main thread that limits
15
+ # python threads or processes to one core
16
+ env_added = []
17
+ for envkey in ['OPENBLAS_MAIN_FREE', 'GOTOBLAS_MAIN_FREE']:
18
+ if envkey not in os.environ:
19
+ os.environ[envkey] = '1'
20
+ env_added.append(envkey)
21
+
22
+ try:
23
+ from . import multiarray
24
+ except ImportError as exc:
25
+ import sys
26
+ msg = """
27
+
28
+ IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!
29
+
30
+ Importing the numpy C-extensions failed. This error can happen for
31
+ many reasons, often due to issues with your setup or how NumPy was
32
+ installed.
33
+
34
+ We have compiled some common reasons and troubleshooting tips at:
35
+
36
+ https://numpy.org/devdocs/user/troubleshooting-importerror.html
37
+
38
+ Please note and check the following:
39
+
40
+ * The Python version is: Python%d.%d from "%s"
41
+ * The NumPy version is: "%s"
42
+
43
+ and make sure that they are the versions you expect.
44
+ Please carefully study the documentation linked above for further help.
45
+
46
+ Original error was: %s
47
+ """ % (sys.version_info[0], sys.version_info[1], sys.executable,
48
+ __version__, exc)
49
+ raise ImportError(msg)
50
+ finally:
51
+ for envkey in env_added:
52
+ del os.environ[envkey]
53
+ del envkey
54
+ del env_added
55
+ del os
56
+
57
+ from . import umath
58
+
59
+ # Check that multiarray,umath are pure python modules wrapping
60
+ # _multiarray_umath and not either of the old c-extension modules
61
+ if not (hasattr(multiarray, '_multiarray_umath') and
62
+ hasattr(umath, '_multiarray_umath')):
63
+ import sys
64
+ path = sys.modules['numpy'].__path__
65
+ msg = ("Something is wrong with the numpy installation. "
66
+ "While importing we detected an older version of "
67
+ "numpy in {}. One method of fixing this is to repeatedly uninstall "
68
+ "numpy until none is found, then reinstall this version.")
69
+ raise ImportError(msg.format(path))
70
+
71
+ from . import numerictypes as nt
72
+ from .numerictypes import sctypes, sctypeDict
73
+ multiarray.set_typeDict(nt.sctypeDict)
74
+ from . import numeric
75
+ from .numeric import *
76
+ from . import fromnumeric
77
+ from .fromnumeric import *
78
+ from .records import record, recarray
79
+ # Note: module name memmap is overwritten by a class with same name
80
+ from .memmap import *
81
+ from . import function_base
82
+ from .function_base import *
83
+ from . import _machar
84
+ from . import getlimits
85
+ from .getlimits import *
86
+ from . import shape_base
87
+ from .shape_base import *
88
+ from . import einsumfunc
89
+ from .einsumfunc import *
90
+ del nt
91
+
92
+ from .numeric import absolute as abs
93
+
94
+ # do this after everything else, to minimize the chance of this misleadingly
95
+ # appearing in an import-time traceback
96
+ from . import _add_newdocs
97
+ from . import _add_newdocs_scalars
98
+ # add these for module-freeze analysis (like PyInstaller)
99
+ from . import _dtype_ctypes
100
+ from . import _internal
101
+ from . import _dtype
102
+ from . import _methods
103
+
104
+ acos = numeric.arccos
105
+ acosh = numeric.arccosh
106
+ asin = numeric.arcsin
107
+ asinh = numeric.arcsinh
108
+ atan = numeric.arctan
109
+ atanh = numeric.arctanh
110
+ atan2 = numeric.arctan2
111
+ concat = numeric.concatenate
112
+ bitwise_left_shift = numeric.left_shift
113
+ bitwise_invert = numeric.invert
114
+ bitwise_right_shift = numeric.right_shift
115
+ permute_dims = numeric.transpose
116
+ pow = numeric.power
117
+
118
+ __all__ = [
119
+ "abs", "acos", "acosh", "asin", "asinh", "atan", "atanh", "atan2",
120
+ "bitwise_invert", "bitwise_left_shift", "bitwise_right_shift", "concat",
121
+ "pow", "permute_dims", "memmap", "sctypeDict", "record", "recarray"
122
+ ]
123
+ __all__ += numeric.__all__
124
+ __all__ += function_base.__all__
125
+ __all__ += getlimits.__all__
126
+ __all__ += shape_base.__all__
127
+ __all__ += einsumfunc.__all__
128
+
129
+
130
+ def _ufunc_reduce(func):
131
+ # Report the `__name__`. pickle will try to find the module. Note that
132
+ # pickle supports for this `__name__` to be a `__qualname__`. It may
133
+ # make sense to add a `__qualname__` to ufuncs, to allow this more
134
+ # explicitly (Numba has ufuncs as attributes).
135
+ # See also: https://github.com/dask/distributed/issues/3450
136
+ return func.__name__
137
+
138
+
139
+ def _DType_reconstruct(scalar_type):
140
+ # This is a work-around to pickle type(np.dtype(np.float64)), etc.
141
+ # and it should eventually be replaced with a better solution, e.g. when
142
+ # DTypes become HeapTypes.
143
+ return type(dtype(scalar_type))
144
+
145
+
146
+ def _DType_reduce(DType):
147
+ # As types/classes, most DTypes can simply be pickled by their name:
148
+ if not DType._legacy or DType.__module__ == "numpy.dtypes":
149
+ return DType.__name__
150
+
151
+ # However, user defined legacy dtypes (like rational) do not end up in
152
+ # `numpy.dtypes` as module and do not have a public class at all.
153
+ # For these, we pickle them by reconstructing them from the scalar type:
154
+ scalar_type = DType.type
155
+ return _DType_reconstruct, (scalar_type,)
156
+
157
+
158
+ def __getattr__(name):
159
+ # Deprecated 2022-11-22, NumPy 1.25.
160
+ if name == "MachAr":
161
+ import warnings
162
+ warnings.warn(
163
+ "The `np._core.MachAr` is considered private API (NumPy 1.24)",
164
+ DeprecationWarning, stacklevel=2,
165
+ )
166
+ return _machar.MachAr
167
+ raise AttributeError(f"Module {__name__!r} has no attribute {name!r}")
168
+
169
+
170
+ import copyreg
171
+
172
+ copyreg.pickle(ufunc, _ufunc_reduce)
173
+ copyreg.pickle(type(dtype), _DType_reduce, _DType_reconstruct)
174
+
175
+ # Unclutter namespace (must keep _*_reconstruct for unpickling)
176
+ del copyreg, _ufunc_reduce, _DType_reduce
177
+
178
+ from numpy._pytesttester import PytestTester
179
+ test = PytestTester(__name__)
180
+ del PytestTester
phivenv/Lib/site-packages/numpy/_core/__init__.pyi ADDED
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1
+ # NOTE: The `np._core` namespace is deliberately kept empty due to it
2
+ # being private
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