s488633/06-WPO-23Z-projekt-python
2
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Compare commits

base: s488633:0e5dda1daebf34d68ba5b4bec903687bb3b5a4d8
Branches Tags
s488633:master
..
compare: s488633:b170994095c2838a62910ccfd5d04d25d60f489e
Branches Tags
s488633:master

2 Commits
0e5dda1dae ... b170994095

Author SHA1 Message Date
Spaghettificated
b170994095 add enviroment (and usuń je z gitignore) 2024-01-13 18:51:41 +01:00
Spaghettificated
cb2eabbb23 tag 2024-01-13 18:35:13 +01:00
2742 changed files with 603934 additions and 1 deletions
Show Stats Expand all files Collapse all files

2
.env/.gitignore vendored Normal file
View File

@ -0,0 +1,2 @@
# created by virtualenv automatically
*

87
.env/bin/activate Normal file
View File

@ -0,0 +1,87 @@
# This file must be used with "source bin/activate" *from bash*
# you cannot run it directly
if [ "${BASH_SOURCE-}" = "$0" ]; then
echo "You must source this script: \$ source $0" >&2
exit 33
fi
deactivate () {
unset -f pydoc >/dev/null 2>&1 || true
# reset old environment variables
# ! [ -z ${VAR+_} ] returns true if VAR is declared at all
if ! [ -z "${_OLD_VIRTUAL_PATH:+_}" ] ; then
PATH="$_OLD_VIRTUAL_PATH"
export PATH
unset _OLD_VIRTUAL_PATH
fi
if ! [ -z "${_OLD_VIRTUAL_PYTHONHOME+_}" ] ; then
PYTHONHOME="$_OLD_VIRTUAL_PYTHONHOME"
export PYTHONHOME
unset _OLD_VIRTUAL_PYTHONHOME
fi
# The hash command must be called to get it to forget past
# commands. Without forgetting past commands the $PATH changes
# we made may not be respected
hash -r 2>/dev/null
if ! [ -z "${_OLD_VIRTUAL_PS1+_}" ] ; then
PS1="$_OLD_VIRTUAL_PS1"
export PS1
unset _OLD_VIRTUAL_PS1
fi
unset VIRTUAL_ENV
unset VIRTUAL_ENV_PROMPT
if [ ! "${1-}" = "nondestructive" ] ; then
# Self destruct!
unset -f deactivate
fi
}
# unset irrelevant variables
deactivate nondestructive
VIRTUAL_ENV='/mnt/shared/Studia/informatyka/06-WPO-23Z-projekt-python/.env'
if ([ "$OSTYPE" = "cygwin" ] || [ "$OSTYPE" = "msys" ]) && $(command -v cygpath &> /dev/null) ; then
VIRTUAL_ENV=$(cygpath -u "$VIRTUAL_ENV")
fi
export VIRTUAL_ENV
_OLD_VIRTUAL_PATH="$PATH"
PATH="$VIRTUAL_ENV/bin:$PATH"
export PATH
if [ "x" != x ] ; then
VIRTUAL_ENV_PROMPT=""
else
VIRTUAL_ENV_PROMPT=$(basename "$VIRTUAL_ENV")
fi
export VIRTUAL_ENV_PROMPT
# unset PYTHONHOME if set
if ! [ -z "${PYTHONHOME+_}" ] ; then
_OLD_VIRTUAL_PYTHONHOME="$PYTHONHOME"
unset PYTHONHOME
fi
if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT-}" ] ; then
_OLD_VIRTUAL_PS1="${PS1-}"
PS1="(${VIRTUAL_ENV_PROMPT}) ${PS1-}"
export PS1
fi
# Make sure to unalias pydoc if it's already there
alias pydoc 2>/dev/null >/dev/null && unalias pydoc || true
pydoc () {
python -m pydoc "$@"
}
# The hash command must be called to get it to forget past
# commands. Without forgetting past commands the $PATH changes
# we made may not be respected
hash -r 2>/dev/null

55
.env/bin/activate.csh Normal file
View File

@ -0,0 +1,55 @@
# This file must be used with "source bin/activate.csh" *from csh*.
# You cannot run it directly.
# Created by Davide Di Blasi <davidedb@gmail.com>.
set newline='\
'
alias deactivate 'test $?_OLD_VIRTUAL_PATH != 0 && setenv PATH "$_OLD_VIRTUAL_PATH:q" && unset _OLD_VIRTUAL_PATH; rehash; test $?_OLD_VIRTUAL_PROMPT != 0 && set prompt="$_OLD_VIRTUAL_PROMPT:q" && unset _OLD_VIRTUAL_PROMPT; unsetenv VIRTUAL_ENV; unsetenv VIRTUAL_ENV_PROMPT; test "\!:*" != "nondestructive" && unalias deactivate && unalias pydoc'
# Unset irrelevant variables.
deactivate nondestructive
setenv VIRTUAL_ENV '/mnt/shared/Studia/informatyka/06-WPO-23Z-projekt-python/.env'
set _OLD_VIRTUAL_PATH="$PATH:q"
setenv PATH "$VIRTUAL_ENV:q/bin:$PATH:q"
if ('' != "") then
setenv VIRTUAL_ENV_PROMPT ''
else
setenv VIRTUAL_ENV_PROMPT "$VIRTUAL_ENV:t:q"
endif
if ( $?VIRTUAL_ENV_DISABLE_PROMPT ) then
if ( $VIRTUAL_ENV_DISABLE_PROMPT == "" ) then
set do_prompt = "1"
else
set do_prompt = "0"
endif
else
set do_prompt = "1"
endif
if ( $do_prompt == "1" ) then
# Could be in a non-interactive environment,
# in which case, $prompt is undefined and we wouldn't
# care about the prompt anyway.
if ( $?prompt ) then
set _OLD_VIRTUAL_PROMPT="$prompt:q"
if ( "$prompt:q" =~ *"$newline:q"* ) then
:
else
set prompt = '('"$VIRTUAL_ENV_PROMPT:q"') '"$prompt:q"
endif
endif
endif
unset env_name
unset do_prompt
alias pydoc python -m pydoc
rehash

103
.env/bin/activate.fish Normal file
View File

@ -0,0 +1,103 @@
# This file must be used using `source bin/activate.fish` *within a running fish ( http://fishshell.com ) session*.
# Do not run it directly.
function _bashify_path -d "Converts a fish path to something bash can recognize"
set fishy_path $argv
set bashy_path $fishy_path[1]
for path_part in $fishy_path[2..-1]
set bashy_path "$bashy_path:$path_part"
end
echo $bashy_path
end
function _fishify_path -d "Converts a bash path to something fish can recognize"
echo $argv | tr ':' '\n'
end
function deactivate -d 'Exit virtualenv mode and return to the normal environment.'
# reset old environment variables
if test -n "$_OLD_VIRTUAL_PATH"
# https://github.com/fish-shell/fish-shell/issues/436 altered PATH handling
if test (echo $FISH_VERSION | head -c 1) -lt 3
set -gx PATH (_fishify_path "$_OLD_VIRTUAL_PATH")
else
set -gx PATH $_OLD_VIRTUAL_PATH
end
set -e _OLD_VIRTUAL_PATH
end
if test -n "$_OLD_VIRTUAL_PYTHONHOME"
set -gx PYTHONHOME "$_OLD_VIRTUAL_PYTHONHOME"
set -e _OLD_VIRTUAL_PYTHONHOME
end
if test -n "$_OLD_FISH_PROMPT_OVERRIDE"
and functions -q _old_fish_prompt
# Set an empty local `$fish_function_path` to allow the removal of `fish_prompt` using `functions -e`.
set -l fish_function_path
# Erase virtualenv's `fish_prompt` and restore the original.
functions -e fish_prompt
functions -c _old_fish_prompt fish_prompt
functions -e _old_fish_prompt
set -e _OLD_FISH_PROMPT_OVERRIDE
end
set -e VIRTUAL_ENV
set -e VIRTUAL_ENV_PROMPT
if test "$argv[1]" != 'nondestructive'
# Self-destruct!
functions -e pydoc
functions -e deactivate
functions -e _bashify_path
functions -e _fishify_path
end
end
# Unset irrelevant variables.
deactivate nondestructive
set -gx VIRTUAL_ENV '/mnt/shared/Studia/informatyka/06-WPO-23Z-projekt-python/.env'
# https://github.com/fish-shell/fish-shell/issues/436 altered PATH handling
if test (echo $FISH_VERSION | head -c 1) -lt 3
set -gx _OLD_VIRTUAL_PATH (_bashify_path $PATH)
else
set -gx _OLD_VIRTUAL_PATH $PATH
end
set -gx PATH "$VIRTUAL_ENV"'/bin' $PATH
# Prompt override provided?
# If not, just use the environment name.
if test -n ''
set -gx VIRTUAL_ENV_PROMPT ''
else
set -gx VIRTUAL_ENV_PROMPT (basename "$VIRTUAL_ENV")
end
# Unset `$PYTHONHOME` if set.
if set -q PYTHONHOME
set -gx _OLD_VIRTUAL_PYTHONHOME $PYTHONHOME
set -e PYTHONHOME
end
function pydoc
python -m pydoc $argv
end
if test -z "$VIRTUAL_ENV_DISABLE_PROMPT"
# Copy the current `fish_prompt` function as `_old_fish_prompt`.
functions -c fish_prompt _old_fish_prompt
function fish_prompt
# Run the user's prompt first; it might depend on (pipe)status.
set -l prompt (_old_fish_prompt)
printf '(%s) ' $VIRTUAL_ENV_PROMPT
string join -- \n $prompt # handle multi-line prompts
end
set -gx _OLD_FISH_PROMPT_OVERRIDE "$VIRTUAL_ENV"
end

96
.env/bin/activate.nu Normal file
View File

@ -0,0 +1,96 @@
# virtualenv activation module
# Activate with `overlay use activate.nu`
# Deactivate with `deactivate`, as usual
#
# To customize the overlay name, you can call `overlay use activate.nu as foo`,
# but then simply `deactivate` won't work because it is just an alias to hide
# the "activate" overlay. You'd need to call `overlay hide foo` manually.
export-env {
def is-string [x] {
($x | describe) == 'string'
}
def has-env [...names] {
$names | each {|n|
$n in $env
} | all {|i| $i == true}
}
# Emulates a `test -z`, but btter as it handles e.g 'false'
def is-env-true [name: string] {
if (has-env $name) {
# Try to parse 'true', '0', '1', and fail if not convertible
let parsed = (do -i { $env | get $name | into bool })
if ($parsed | describe) == 'bool' {
$parsed
} else {
not ($env | get -i $name | is-empty)
}
} else {
false
}
}
let virtual_env = '/mnt/shared/Studia/informatyka/06-WPO-23Z-projekt-python/.env'
let bin = 'bin'
let is_windows = ($nu.os-info.family) == 'windows'
let path_name = (if (has-env 'Path') {
'Path'
} else {
'PATH'
}
)
let venv_path = ([$virtual_env $bin] | path join)
let new_path = ($env | get $path_name | prepend $venv_path)
# If there is no default prompt, then use the env name instead
let virtual_env_prompt = (if ('' | is-empty) {
($virtual_env | path basename)
} else {
''
})
let new_env = {
$path_name : $new_path
VIRTUAL_ENV : $virtual_env
VIRTUAL_ENV_PROMPT : $virtual_env_prompt
}
let new_env = (if (is-env-true 'VIRTUAL_ENV_DISABLE_PROMPT') {
$new_env
} else {
# Creating the new prompt for the session
let virtual_prefix = $'(char lparen)($virtual_env_prompt)(char rparen) '
# Back up the old prompt builder
let old_prompt_command = (if (has-env 'PROMPT_COMMAND') {
$env.PROMPT_COMMAND
} else {
''
})
let new_prompt = (if (has-env 'PROMPT_COMMAND') {
if 'closure' in ($old_prompt_command | describe) {
{|| $'($virtual_prefix)(do $old_prompt_command)' }
} else {
{|| $'($virtual_prefix)($old_prompt_command)' }
}
} else {
{|| $'($virtual_prefix)' }
})
$new_env | merge {
PROMPT_COMMAND : $new_prompt
VIRTUAL_PREFIX : $virtual_prefix
}
})
# Environment variables that will be loaded as the virtual env
load-env $new_env
}
export alias pydoc = python -m pydoc
export alias deactivate = overlay hide activate

61
.env/bin/activate.ps1 Normal file
View File

@ -0,0 +1,61 @@
$script:THIS_PATH = $myinvocation.mycommand.path
$script:BASE_DIR = Split-Path (Resolve-Path "$THIS_PATH/..") -Parent
function global:deactivate([switch] $NonDestructive) {
if (Test-Path variable:_OLD_VIRTUAL_PATH) {
$env:PATH = $variable:_OLD_VIRTUAL_PATH
Remove-Variable "_OLD_VIRTUAL_PATH" -Scope global
}
if (Test-Path function:_old_virtual_prompt) {
$function:prompt = $function:_old_virtual_prompt
Remove-Item function:\_old_virtual_prompt
}
if ($env:VIRTUAL_ENV) {
Remove-Item env:VIRTUAL_ENV -ErrorAction SilentlyContinue
}
if ($env:VIRTUAL_ENV_PROMPT) {
Remove-Item env:VIRTUAL_ENV_PROMPT -ErrorAction SilentlyContinue
}
if (!$NonDestructive) {
# Self destruct!
Remove-Item function:deactivate
Remove-Item function:pydoc
}
}
function global:pydoc {
python -m pydoc $args
}
# unset irrelevant variables
deactivate -nondestructive
$VIRTUAL_ENV = $BASE_DIR
$env:VIRTUAL_ENV = $VIRTUAL_ENV
if ("" -ne "") {
$env:VIRTUAL_ENV_PROMPT = ""
}
else {
$env:VIRTUAL_ENV_PROMPT = $( Split-Path $env:VIRTUAL_ENV -Leaf )
}
New-Variable -Scope global -Name _OLD_VIRTUAL_PATH -Value $env:PATH
$env:PATH = "$env:VIRTUAL_ENV/bin:" + $env:PATH
if (!$env:VIRTUAL_ENV_DISABLE_PROMPT) {
function global:_old_virtual_prompt {
""
}
$function:_old_virtual_prompt = $function:prompt
function global:prompt {
# Add the custom prefix to the existing prompt
$previous_prompt_value = & $function:_old_virtual_prompt
("(" + $env:VIRTUAL_ENV_PROMPT + ") " + $previous_prompt_value)
}
}

36
.env/bin/activate_this.py Normal file
View File

@ -0,0 +1,36 @@
"""
Activate virtualenv for current interpreter:
Use exec(open(this_file).read(), {'__file__': this_file}).
This can be used when you must use an existing Python interpreter, not the virtualenv bin/python.
""" # noqa: D415
from __future__ import annotations
import os
import site
import sys
try:
abs_file = os.path.abspath(__file__)
except NameError as exc:
msg = "You must use exec(open(this_file).read(), {'__file__': this_file})"
raise AssertionError(msg) from exc
bin_dir = os.path.dirname(abs_file)
base = bin_dir[: -len("bin") - 1] # strip away the bin part from the __file__, plus the path separator
# prepend bin to PATH (this file is inside the bin directory)
os.environ["PATH"] = os.pathsep.join([bin_dir, *os.environ.get("PATH", "").split(os.pathsep)])
os.environ["VIRTUAL_ENV"] = base # virtual env is right above bin directory
os.environ["VIRTUAL_ENV_PROMPT"] = "" or os.path.basename(base) # noqa: SIM222
# add the virtual environments libraries to the host python import mechanism
prev_length = len(sys.path)
for lib in "../lib/python3.11/site-packages".split(os.pathsep):
path = os.path.realpath(os.path.join(bin_dir, lib))
site.addsitedir(path.decode("utf-8") if "" else path)
sys.path[:] = sys.path[prev_length:] + sys.path[0:prev_length]
sys.real_prefix = sys.prefix
sys.prefix = base

8
.env/bin/f2py Normal file
View File

@ -0,0 +1,8 @@
#!/mnt/shared/Studia/informatyka/06-WPO-23Z-projekt-python/.env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from numpy.f2py.f2py2e import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
.env/bin/pip Normal file
View File

@ -0,0 +1,8 @@
#!/mnt/shared/Studia/informatyka/06-WPO-23Z-projekt-python/.env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
.env/bin/pip3 Normal file
View File

@ -0,0 +1,8 @@
#!/mnt/shared/Studia/informatyka/06-WPO-23Z-projekt-python/.env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
.env/bin/pip3.11 Normal file
View File

@ -0,0 +1,8 @@
#!/mnt/shared/Studia/informatyka/06-WPO-23Z-projekt-python/.env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

1
.env/bin/python Symbolic link
View File

@ -0,0 +1 @@
/usr/bin/python3.11

1
.env/bin/python3 Symbolic link
View File

@ -0,0 +1 @@
python

1
.env/bin/python3.11 Symbolic link
View File

@ -0,0 +1 @@
python

8
.env/bin/wheel Normal file
View File

@ -0,0 +1,8 @@
#!/mnt/shared/Studia/informatyka/06-WPO-23Z-projekt-python/.env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from wheel.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
.env/bin/wheel-3.11 Normal file
View File

@ -0,0 +1,8 @@
#!/mnt/shared/Studia/informatyka/06-WPO-23Z-projekt-python/.env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from wheel.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
.env/bin/wheel3 Normal file
View File

@ -0,0 +1,8 @@
#!/mnt/shared/Studia/informatyka/06-WPO-23Z-projekt-python/.env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from wheel.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
.env/bin/wheel3.11 Normal file
View File

@ -0,0 +1,8 @@
#!/mnt/shared/Studia/informatyka/06-WPO-23Z-projekt-python/.env/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from wheel.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

BIN
.env/lib/python3.11/site-packages/__pycache__/_virtualenv.cpython-311.pyc Normal file
View File

Binary file not shown.

227
.env/lib/python3.11/site-packages/_distutils_hack/__init__.py Normal file
View File

@ -0,0 +1,227 @@
# don't import any costly modules
import sys
import os
is_pypy = '__pypy__' in sys.builtin_module_names
def warn_distutils_present():
if 'distutils' not in sys.modules:
return
if is_pypy and sys.version_info < (3, 7):
# PyPy for 3.6 unconditionally imports distutils, so bypass the warning
# https://foss.heptapod.net/pypy/pypy/-/blob/be829135bc0d758997b3566062999ee8b23872b4/lib-python/3/site.py#L250
return
import warnings
warnings.warn(
"Distutils was imported before Setuptools, but importing Setuptools "
"also replaces the `distutils` module in `sys.modules`. This may lead "
"to undesirable behaviors or errors. To avoid these issues, avoid "
"using distutils directly, ensure that setuptools is installed in the "
"traditional way (e.g. not an editable install), and/or make sure "
"that setuptools is always imported before distutils."
)
def clear_distutils():
if 'distutils' not in sys.modules:
return
import warnings
warnings.warn("Setuptools is replacing distutils.")
mods = [
name
for name in sys.modules
if name == "distutils" or name.startswith("distutils.")
]
for name in mods:
del sys.modules[name]
def enabled():
"""
Allow selection of distutils by environment variable.
"""
which = os.environ.get('SETUPTOOLS_USE_DISTUTILS', 'local')
return which == 'local'
def ensure_local_distutils():
import importlib
clear_distutils()
# With the DistutilsMetaFinder in place,
# perform an import to cause distutils to be
# loaded from setuptools._distutils. Ref #2906.
with shim():
importlib.import_module('distutils')
# check that submodules load as expected
core = importlib.import_module('distutils.core')
assert '_distutils' in core.__file__, core.__file__
assert 'setuptools._distutils.log' not in sys.modules
def do_override():
"""
Ensure that the local copy of distutils is preferred over stdlib.
See https://github.com/pypa/setuptools/issues/417#issuecomment-392298401
for more motivation.
"""
if enabled():
warn_distutils_present()
ensure_local_distutils()
class _TrivialRe:
def __init__(self, *patterns):
self._patterns = patterns
def match(self, string):
return all(pat in string for pat in self._patterns)
class DistutilsMetaFinder:
def find_spec(self, fullname, path, target=None):
# optimization: only consider top level modules and those
# found in the CPython test suite.
if path is not None and not fullname.startswith('test.'):
return
method_name = 'spec_for_{fullname}'.format(**locals())
method = getattr(self, method_name, lambda: None)
return method()
def spec_for_distutils(self):
if self.is_cpython():
return
import importlib
import importlib.abc
import importlib.util
try:
mod = importlib.import_module('setuptools._distutils')
except Exception:
# There are a couple of cases where setuptools._distutils
# may not be present:
# - An older Setuptools without a local distutils is
# taking precedence. Ref #2957.
# - Path manipulation during sitecustomize removes
# setuptools from the path but only after the hook
# has been loaded. Ref #2980.
# In either case, fall back to stdlib behavior.
return
class DistutilsLoader(importlib.abc.Loader):
def create_module(self, spec):
mod.__name__ = 'distutils'
return mod
def exec_module(self, module):
pass
return importlib.util.spec_from_loader(
'distutils', DistutilsLoader(), origin=mod.__file__
)
@staticmethod
def is_cpython():
"""
Suppress supplying distutils for CPython (build and tests).
Ref #2965 and #3007.
"""
return os.path.isfile('pybuilddir.txt')
def spec_for_pip(self):
"""
Ensure stdlib distutils when running under pip.
See pypa/pip#8761 for rationale.
"""
if sys.version_info >= (3, 12) or self.pip_imported_during_build():
return
clear_distutils()
self.spec_for_distutils = lambda: None
@classmethod
def pip_imported_during_build(cls):
"""
Detect if pip is being imported in a build script. Ref #2355.
"""
import traceback
return any(
cls.frame_file_is_setup(frame) for frame, line in traceback.walk_stack(None)
)
@staticmethod
def frame_file_is_setup(frame):
"""
Return True if the indicated frame suggests a setup.py file.
"""
# some frames may not have __file__ (#2940)
return frame.f_globals.get('__file__', '').endswith('setup.py')
def spec_for_sensitive_tests(self):
"""
Ensure stdlib distutils when running select tests under CPython.
python/cpython#91169
"""
clear_distutils()
self.spec_for_distutils = lambda: None
sensitive_tests = (
[
'test.test_distutils',
'test.test_peg_generator',
'test.test_importlib',
]
if sys.version_info < (3, 10)
else [
'test.test_distutils',
]
)
for name in DistutilsMetaFinder.sensitive_tests:
setattr(
DistutilsMetaFinder,
f'spec_for_{name}',
DistutilsMetaFinder.spec_for_sensitive_tests,
)
DISTUTILS_FINDER = DistutilsMetaFinder()
def add_shim():
DISTUTILS_FINDER in sys.meta_path or insert_shim()
class shim:
def __enter__(self):
insert_shim()
def __exit__(self, exc, value, tb):
_remove_shim()
def insert_shim():
sys.meta_path.insert(0, DISTUTILS_FINDER)
def _remove_shim():
try:
sys.meta_path.remove(DISTUTILS_FINDER)
except ValueError:
pass
if sys.version_info < (3, 12):
# DistutilsMetaFinder can only be disabled in Python < 3.12 (PEP 632)
remove_shim = _remove_shim

BIN
.env/lib/python3.11/site-packages/_distutils_hack/__pycache__/__init__.cpython-311.pyc Normal file
View File

Binary file not shown.

1
.env/lib/python3.11/site-packages/_distutils_hack/override.py Normal file
View File

@ -0,0 +1 @@
__import__('_distutils_hack').do_override()

1
.env/lib/python3.11/site-packages/_virtualenv.pth Normal file
View File

@ -0,0 +1 @@
import _virtualenv

102
.env/lib/python3.11/site-packages/_virtualenv.py Normal file
View File

@ -0,0 +1,102 @@
"""Patches that are applied at runtime to the virtual environment."""
from __future__ import annotations
import os
import sys
from contextlib import suppress
VIRTUALENV_PATCH_FILE = os.path.join(__file__)
def patch_dist(dist):
"""
Distutils allows user to configure some arguments via a configuration file:
https://docs.python.org/3/install/index.html#distutils-configuration-files.
Some of this arguments though don't make sense in context of the virtual environment files, let's fix them up.
""" # noqa: D205
# we cannot allow some install config as that would get packages installed outside of the virtual environment
old_parse_config_files = dist.Distribution.parse_config_files
def parse_config_files(self, *args, **kwargs):
result = old_parse_config_files(self, *args, **kwargs)
install = self.get_option_dict("install")
if "prefix" in install: # the prefix governs where to install the libraries
install["prefix"] = VIRTUALENV_PATCH_FILE, os.path.abspath(sys.prefix)
for base in ("purelib", "platlib", "headers", "scripts", "data"):
key = f"install_{base}"
if key in install: # do not allow global configs to hijack venv paths
install.pop(key, None)
return result
dist.Distribution.parse_config_files = parse_config_files
# Import hook that patches some modules to ignore configuration values that break package installation in case
# of virtual environments.
_DISTUTILS_PATCH = "distutils.dist", "setuptools.dist"
# https://docs.python.org/3/library/importlib.html#setting-up-an-importer
class _Finder:
"""A meta path finder that allows patching the imported distutils modules."""
fullname = None
# lock[0] is threading.Lock(), but initialized lazily to avoid importing threading very early at startup,
# because there are gevent-based applications that need to be first to import threading by themselves.
# See https://github.com/pypa/virtualenv/issues/1895 for details.
lock = [] # noqa: RUF012
def find_spec(self, fullname, path, target=None): # noqa: ARG002
if fullname in _DISTUTILS_PATCH and self.fullname is None:
# initialize lock[0] lazily
if len(self.lock) == 0:
import threading
lock = threading.Lock()
# there is possibility that two threads T1 and T2 are simultaneously running into find_spec,
# observing .lock as empty, and further going into hereby initialization. However due to the GIL,
# list.append() operation is atomic and this way only one of the threads will "win" to put the lock
# - that every thread will use - into .lock[0].
# https://docs.python.org/3/faq/library.html#what-kinds-of-global-value-mutation-are-thread-safe
self.lock.append(lock)
from functools import partial
from importlib.util import find_spec
with self.lock[0]:
self.fullname = fullname
try:
spec = find_spec(fullname, path)
if spec is not None:
# https://www.python.org/dev/peps/pep-0451/#how-loading-will-work
is_new_api = hasattr(spec.loader, "exec_module")
func_name = "exec_module" if is_new_api else "load_module"
old = getattr(spec.loader, func_name)
func = self.exec_module if is_new_api else self.load_module
if old is not func:
with suppress(AttributeError): # C-Extension loaders are r/o such as zipimporter with <3.7
setattr(spec.loader, func_name, partial(func, old))
return spec
finally:
self.fullname = None
return None
@staticmethod
def exec_module(old, module):
old(module)
if module.__name__ in _DISTUTILS_PATCH:
patch_dist(module)
@staticmethod
def load_module(old, name):
module = old(name)
if module.__name__ in _DISTUTILS_PATCH:
patch_dist(module)
return module
sys.meta_path.insert(0, _Finder())

1
.env/lib/python3.11/site-packages/distutils-precedence.pth Normal file
View File

@ -0,0 +1 @@
import os; var = 'SETUPTOOLS_USE_DISTUTILS'; enabled = os.environ.get(var, 'local') == 'local'; enabled and __import__('_distutils_hack').add_shim();

1
.env/lib/python3.11/site-packages/numpy-1.26.3.dist-info/INSTALLER Normal file
View File

@ -0,0 +1 @@
pip

976
.env/lib/python3.11/site-packages/numpy-1.26.3.dist-info/LICENSE.txt Normal file
View File

@ -0,0 +1,976 @@
Copyright (c) 2005-2023, NumPy Developers.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above
copyright notice, this list of conditions and the following
disclaimer in the documentation and/or other materials provided
with the distribution.
* Neither the name of the NumPy Developers nor the names of any
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
----
The NumPy repository and source distributions bundle several libraries that are
compatibly licensed. We list these here.
Name: lapack-lite
Files: numpy/linalg/lapack_lite/*
License: BSD-3-Clause
For details, see numpy/linalg/lapack_lite/LICENSE.txt
Name: tempita
Files: tools/npy_tempita/*
License: MIT
For details, see tools/npy_tempita/license.txt
Name: dragon4
Files: numpy/core/src/multiarray/dragon4.c
License: MIT
For license text, see numpy/core/src/multiarray/dragon4.c
Name: libdivide
Files: numpy/core/include/numpy/libdivide/*
License: Zlib
For license text, see numpy/core/include/numpy/libdivide/LICENSE.txt
Note that the following files are vendored in the repository and sdist but not
installed in built numpy packages:
Name: Meson
Files: vendored-meson/meson/*
License: Apache 2.0
For license text, see vendored-meson/meson/COPYING
Name: meson-python
Files: vendored-meson/meson-python/*
License: MIT
For license text, see vendored-meson/meson-python/LICENSE
Name: spin
Files: .spin/cmds.py
License: BSD-3
For license text, see .spin/LICENSE
----
This binary distribution of NumPy also bundles the following software:
Name: OpenBLAS
Files: numpy.libs/libopenblas*.so
Description: bundled as a dynamically linked library
Availability: https://github.com/OpenMathLib/OpenBLAS/
License: BSD-3-Clause
Copyright (c) 2011-2014, The OpenBLAS Project
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution.
3. Neither the name of the OpenBLAS project nor the names of
its contributors may be used to endorse or promote products
derived from this software without specific prior written
permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE
USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Name: LAPACK
Files: numpy.libs/libopenblas*.so
Description: bundled in OpenBLAS
Availability: https://github.com/OpenMathLib/OpenBLAS/
License: BSD-3-Clause-Attribution
Copyright (c) 1992-2013 The University of Tennessee and The University
of Tennessee Research Foundation. All rights
reserved.
Copyright (c) 2000-2013 The University of California Berkeley. All
rights reserved.
Copyright (c) 2006-2013 The University of Colorado Denver. All rights
reserved.
$COPYRIGHT$
Additional copyrights may follow
$HEADER$
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
- Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer listed
in this license in the documentation and/or other materials
provided with the distribution.
- Neither the name of the copyright holders nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
The copyright holders provide no reassurances that the source code
provided does not infringe any patent, copyright, or any other
intellectual property rights of third parties. The copyright holders
disclaim any liability to any recipient for claims brought against
recipient by any third party for infringement of that parties
intellectual property rights.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Name: GCC runtime library
Files: numpy.libs/libgfortran*.so
Description: dynamically linked to files compiled with gcc
Availability: https://gcc.gnu.org/git/?p=gcc.git;a=tree;f=libgfortran
License: GPL-3.0-with-GCC-exception
Copyright (C) 2002-2017 Free Software Foundation, Inc.
Libgfortran is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 3, or (at your option)
any later version.
Libgfortran is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
Under Section 7 of GPL version 3, you are granted additional
permissions described in the GCC Runtime Library Exception, version
3.1, as published by the Free Software Foundation.
You should have received a copy of the GNU General Public License and
a copy of the GCC Runtime Library Exception along with this program;
see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
<http://www.gnu.org/licenses/>.
----
Full text of license texts referred to above follows (that they are
listed below does not necessarily imply the conditions apply to the
present binary release):
----
GCC RUNTIME LIBRARY EXCEPTION
Version 3.1, 31 March 2009
Copyright (C) 2009 Free Software Foundation, Inc. <http://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies of this
license document, but changing it is not allowed.
This GCC Runtime Library Exception ("Exception") is an additional
permission under section 7 of the GNU General Public License, version
3 ("GPLv3"). It applies to a given file (the "Runtime Library") that
bears a notice placed by the copyright holder of the file stating that
the file is governed by GPLv3 along with this Exception.
When you use GCC to compile a program, GCC may combine portions of
certain GCC header files and runtime libraries with the compiled
program. The purpose of this Exception is to allow compilation of
non-GPL (including proprietary) programs to use, in this way, the
header files and runtime libraries covered by this Exception.
0. Definitions.
A file is an "Independent Module" if it either requires the Runtime
Library for execution after a Compilation Process, or makes use of an
interface provided by the Runtime Library, but is not otherwise based
on the Runtime Library.
"GCC" means a version of the GNU Compiler Collection, with or without
modifications, governed by version 3 (or a specified later version) of
the GNU General Public License (GPL) with the option of using any
subsequent versions published by the FSF.
"GPL-compatible Software" is software whose conditions of propagation,
modification and use would permit combination with GCC in accord with
the license of GCC.
"Target Code" refers to output from any compiler for a real or virtual
target processor architecture, in executable form or suitable for
input to an assembler, loader, linker and/or execution
phase. Notwithstanding that, Target Code does not include data in any
format that is used as a compiler intermediate representation, or used
for producing a compiler intermediate representation.
The "Compilation Process" transforms code entirely represented in
non-intermediate languages designed for human-written code, and/or in
Java Virtual Machine byte code, into Target Code. Thus, for example,
use of source code generators and preprocessors need not be considered
part of the Compilation Process, since the Compilation Process can be
understood as starting with the output of the generators or
preprocessors.
A Compilation Process is "Eligible" if it is done using GCC, alone or
with other GPL-compatible software, or if it is done without using any
work based on GCC. For example, using non-GPL-compatible Software to
optimize any GCC intermediate representations would not qualify as an
Eligible Compilation Process.
1. Grant of Additional Permission.
You have permission to propagate a work of Target Code formed by
combining the Runtime Library with Independent Modules, even if such
propagation would otherwise violate the terms of GPLv3, provided that
all Target Code was generated by Eligible Compilation Processes. You
may then convey such a combination under terms of your choice,
consistent with the licensing of the Independent Modules.
2. No Weakening of GCC Copyleft.
The availability of this Exception does not imply any general
presumption that third-party software is unaffected by the copyleft
requirements of the license of GCC.
----
GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
Preamble
The GNU General Public License is a free, copyleft license for
software and other kinds of works.
The licenses for most software and other practical works are designed
to take away your freedom to share and change the works. By contrast,
the GNU General Public License is intended to guarantee your freedom to
share and change all versions of a program--to make sure it remains free
software for all its users. We, the Free Software Foundation, use the
GNU General Public License for most of our software; it applies also to
any other work released this way by its authors. You can apply it to
your programs, too.
When we speak of free software, we are referring to freedom, not
price. Our General Public Licenses are designed to make sure that you
have the freedom to distribute copies of free software (and charge for
them if you wish), that you receive source code or can get it if you
want it, that you can change the software or use pieces of it in new
free programs, and that you know you can do these things.
To protect your rights, we need to prevent others from denying you
these rights or asking you to surrender the rights. Therefore, you have
certain responsibilities if you distribute copies of the software, or if
you modify it: responsibilities to respect the freedom of others.
For example, if you distribute copies of such a program, whether
gratis or for a fee, you must pass on to the recipients the same
freedoms that you received. You must make sure that they, too, receive
or can get the source code. And you must show them these terms so they
know their rights.
Developers that use the GNU GPL protect your rights with two steps:
(1) assert copyright on the software, and (2) offer you this License
giving you legal permission to copy, distribute and/or modify it.
For the developers' and authors' protection, the GPL clearly explains
that there is no warranty for this free software. For both users' and
authors' sake, the GPL requires that modified versions be marked as
changed, so that their problems will not be attributed erroneously to
authors of previous versions.
Some devices are designed to deny users access to install or run
modified versions of the software inside them, although the manufacturer
can do so. This is fundamentally incompatible with the aim of
protecting users' freedom to change the software. The systematic
pattern of such abuse occurs in the area of products for individuals to
use, which is precisely where it is most unacceptable. Therefore, we
have designed this version of the GPL to prohibit the practice for those
products. If such problems arise substantially in other domains, we
stand ready to extend this provision to those domains in future versions
of the GPL, as needed to protect the freedom of users.
Finally, every program is threatened constantly by software patents.
States should not allow patents to restrict development and use of
software on general-purpose computers, but in those that do, we wish to
avoid the special danger that patents applied to a free program could
make it effectively proprietary. To prevent this, the GPL assures that
patents cannot be used to render the program non-free.
The precise terms and conditions for copying, distribution and
modification follow.
TERMS AND CONDITIONS
0. Definitions.
"This License" refers to version 3 of the GNU General Public License.
"Copyright" also means copyright-like laws that apply to other kinds of
works, such as semiconductor masks.
"The Program" refers to any copyrightable work licensed under this
License. Each licensee is addressed as "you". "Licensees" and
"recipients" may be individuals or organizations.
To "modify" a work means to copy from or adapt all or part of the work
in a fashion requiring copyright permission, other than the making of an
exact copy. The resulting work is called a "modified version" of the
earlier work or a work "based on" the earlier work.
A "covered work" means either the unmodified Program or a work based
on the Program.
To "propagate" a work means to do anything with it that, without
permission, would make you directly or secondarily liable for
infringement under applicable copyright law, except executing it on a
computer or modifying a private copy. Propagation includes copying,
distribution (with or without modification), making available to the
public, and in some countries other activities as well.
To "convey" a work means any kind of propagation that enables other
parties to make or receive copies. Mere interaction with a user through
a computer network, with no transfer of a copy, is not conveying.
An interactive user interface displays "Appropriate Legal Notices"
to the extent that it includes a convenient and prominently visible
feature that (1) displays an appropriate copyright notice, and (2)
tells the user that there is no warranty for the work (except to the
extent that warranties are provided), that licensees may convey the
work under this License, and how to view a copy of this License. If
the interface presents a list of user commands or options, such as a
menu, a prominent item in the list meets this criterion.
1. Source Code.
The "source code" for a work means the preferred form of the work
for making modifications to it. "Object code" means any non-source
form of a work.
A "Standard Interface" means an interface that either is an official
standard defined by a recognized standards body, or, in the case of
interfaces specified for a particular programming language, one that
is widely used among developers working in that language.
The "System Libraries" of an executable work include anything, other
than the work as a whole, that (a) is included in the normal form of
packaging a Major Component, but which is not part of that Major
Component, and (b) serves only to enable use of the work with that
Major Component, or to implement a Standard Interface for which an
implementation is available to the public in source code form. A
"Major Component", in this context, means a major essential component
(kernel, window system, and so on) of the specific operating system
(if any) on which the executable work runs, or a compiler used to
produce the work, or an object code interpreter used to run it.
The "Corresponding Source" for a work in object code form means all
the source code needed to generate, install, and (for an executable
work) run the object code and to modify the work, including scripts to
control those activities. However, it does not include the work's
System Libraries, or general-purpose tools or generally available free
programs which are used unmodified in performing those activities but
which are not part of the work. For example, Corresponding Source
includes interface definition files associated with source files for
the work, and the source code for shared libraries and dynamically
linked subprograms that the work is specifically designed to require,
such as by intimate data communication or control flow between those
subprograms and other parts of the work.
The Corresponding Source need not include anything that users
can regenerate automatically from other parts of the Corresponding
Source.
The Corresponding Source for a work in source code form is that
same work.
2. Basic Permissions.
All rights granted under this License are granted for the term of
copyright on the Program, and are irrevocable provided the stated
conditions are met. This License explicitly affirms your unlimited
permission to run the unmodified Program. The output from running a
covered work is covered by this License only if the output, given its
content, constitutes a covered work. This License acknowledges your
rights of fair use or other equivalent, as provided by copyright law.
You may make, run and propagate covered works that you do not
convey, without conditions so long as your license otherwise remains
in force. You may convey covered works to others for the sole purpose
of having them make modifications exclusively for you, or provide you
with facilities for running those works, provided that you comply with
the terms of this License in conveying all material for which you do
not control copyright. Those thus making or running the covered works
for you must do so exclusively on your behalf, under your direction
and control, on terms that prohibit them from making any copies of
your copyrighted material outside their relationship with you.
Conveying under any other circumstances is permitted solely under
the conditions stated below. Sublicensing is not allowed; section 10
makes it unnecessary.
3. Protecting Users' Legal Rights From Anti-Circumvention Law.
No covered work shall be deemed part of an effective technological
measure under any applicable law fulfilling obligations under article
11 of the WIPO copyright treaty adopted on 20 December 1996, or
similar laws prohibiting or restricting circumvention of such
measures.
When you convey a covered work, you waive any legal power to forbid
circumvention of technological measures to the extent such circumvention
is effected by exercising rights under this License with respect to
the covered work, and you disclaim any intention to limit operation or
modification of the work as a means of enforcing, against the work's
users, your or third parties' legal rights to forbid circumvention of
technological measures.
4. Conveying Verbatim Copies.
You may convey verbatim copies of the Program's source code as you
receive it, in any medium, provided that you conspicuously and
appropriately publish on each copy an appropriate copyright notice;
keep intact all notices stating that this License and any
non-permissive terms added in accord with section 7 apply to the code;
keep intact all notices of the absence of any warranty; and give all
recipients a copy of this License along with the Program.
You may charge any price or no price for each copy that you convey,
and you may offer support or warranty protection for a fee.
5. Conveying Modified Source Versions.
You may convey a work based on the Program, or the modifications to
produce it from the Program, in the form of source code under the
terms of section 4, provided that you also meet all of these conditions:
a) The work must carry prominent notices stating that you modified
it, and giving a relevant date.
b) The work must carry prominent notices stating that it is
released under this License and any conditions added under section
7. This requirement modifies the requirement in section 4 to
"keep intact all notices".
c) You must license the entire work, as a whole, under this
License to anyone who comes into possession of a copy. This
License will therefore apply, along with any applicable section 7
additional terms, to the whole of the work, and all its parts,
regardless of how they are packaged. This License gives no
permission to license the work in any other way, but it does not
invalidate such permission if you have separately received it.
d) If the work has interactive user interfaces, each must display
Appropriate Legal Notices; however, if the Program has interactive
interfaces that do not display Appropriate Legal Notices, your
work need not make them do so.
A compilation of a covered work with other separate and independent
works, which are not by their nature extensions of the covered work,
and which are not combined with it such as to form a larger program,
in or on a volume of a storage or distribution medium, is called an
"aggregate" if the compilation and its resulting copyright are not
used to limit the access or legal rights of the compilation's users
beyond what the individual works permit. Inclusion of a covered work
in an aggregate does not cause this License to apply to the other
parts of the aggregate.
6. Conveying Non-Source Forms.
You may convey a covered work in object code form under the terms
of sections 4 and 5, provided that you also convey the
machine-readable Corresponding Source under the terms of this License,
in one of these ways:
a) Convey the object code in, or embodied in, a physical product
(including a physical distribution medium), accompanied by the
Corresponding Source fixed on a durable physical medium
customarily used for software interchange.
b) Convey the object code in, or embodied in, a physical product
(including a physical distribution medium), accompanied by a
written offer, valid for at least three years and valid for as
long as you offer spare parts or customer support for that product
model, to give anyone who possesses the object code either (1) a
copy of the Corresponding Source for all the software in the
product that is covered by this License, on a durable physical
medium customarily used for software interchange, for a price no
more than your reasonable cost of physically performing this
conveying of source, or (2) access to copy the
Corresponding Source from a network server at no charge.
c) Convey individual copies of the object code with a copy of the
written offer to provide the Corresponding Source. This
alternative is allowed only occasionally and noncommercially, and
only if you received the object code with such an offer, in accord
with subsection 6b.
d) Convey the object code by offering access from a designated
place (gratis or for a charge), and offer equivalent access to the
Corresponding Source in the same way through the same place at no
further charge. You need not require recipients to copy the
Corresponding Source along with the object code. If the place to
copy the object code is a network server, the Corresponding Source
may be on a different server (operated by you or a third party)
that supports equivalent copying facilities, provided you maintain
clear directions next to the object code saying where to find the
Corresponding Source. Regardless of what server hosts the
Corresponding Source, you remain obligated to ensure that it is
available for as long as needed to satisfy these requirements.
e) Convey the object code using peer-to-peer transmission, provided
you inform other peers where the object code and Corresponding
Source of the work are being offered to the general public at no
charge under subsection 6d.
A separable portion of the object code, whose source code is excluded
from the Corresponding Source as a System Library, need not be
included in conveying the object code work.
A "User Product" is either (1) a "consumer product", which means any
tangible personal property which is normally used for personal, family,
or household purposes, or (2) anything designed or sold for incorporation
into a dwelling. In determining whether a product is a consumer product,
doubtful cases shall be resolved in favor of coverage. For a particular
product received by a particular user, "normally used" refers to a
typical or common use of that class of product, regardless of the status
of the particular user or of the way in which the particular user
actually uses, or expects or is expected to use, the product. A product
is a consumer product regardless of whether the product has substantial
commercial, industrial or non-consumer uses, unless such uses represent
the only significant mode of use of the product.
"Installation Information" for a User Product means any methods,
procedures, authorization keys, or other information required to install
and execute modified versions of a covered work in that User Product from
a modified version of its Corresponding Source. The information must
suffice to ensure that the continued functioning of the modified object
code is in no case prevented or interfered with solely because
modification has been made.
If you convey an object code work under this section in, or with, or
specifically for use in, a User Product, and the conveying occurs as
part of a transaction in which the right of possession and use of the
User Product is transferred to the recipient in perpetuity or for a
fixed term (regardless of how the transaction is characterized), the
Corresponding Source conveyed under this section must be accompanied
by the Installation Information. But this requirement does not apply
if neither you nor any third party retains the ability to install
modified object code on the User Product (for example, the work has
been installed in ROM).
The requirement to provide Installation Information does not include a
requirement to continue to provide support service, warranty, or updates
for a work that has been modified or installed by the recipient, or for
the User Product in which it has been modified or installed. Access to a
network may be denied when the modification itself materially and
adversely affects the operation of the network or violates the rules and
protocols for communication across the network.
Corresponding Source conveyed, and Installation Information provided,
in accord with this section must be in a format that is publicly
documented (and with an implementation available to the public in
source code form), and must require no special password or key for
unpacking, reading or copying.
7. Additional Terms.
"Additional permissions" are terms that supplement the terms of this
License by making exceptions from one or more of its conditions.
Additional permissions that are applicable to the entire Program shall
be treated as though they were included in this License, to the extent
that they are valid under applicable law. If additional permissions
apply only to part of the Program, that part may be used separately
under those permissions, but the entire Program remains governed by
this License without regard to the additional permissions.
When you convey a copy of a covered work, you may at your option
remove any additional permissions from that copy, or from any part of
it. (Additional permissions may be written to require their own
removal in certain cases when you modify the work.) You may place
additional permissions on material, added by you to a covered work,
for which you have or can give appropriate copyright permission.
Notwithstanding any other provision of this License, for material you
add to a covered work, you may (if authorized by the copyright holders of
that material) supplement the terms of this License with terms:
a) Disclaiming warranty or limiting liability differently from the
terms of sections 15 and 16 of this License; or
b) Requiring preservation of specified reasonable legal notices or
author attributions in that material or in the Appropriate Legal
Notices displayed by works containing it; or
c) Prohibiting misrepresentation of the origin of that material, or
requiring that modified versions of such material be marked in
reasonable ways as different from the original version; or
d) Limiting the use for publicity purposes of names of licensors or
authors of the material; or
e) Declining to grant rights under trademark law for use of some
trade names, trademarks, or service marks; or
f) Requiring indemnification of licensors and authors of that
material by anyone who conveys the material (or modified versions of
it) with contractual assumptions of liability to the recipient, for
any liability that these contractual assumptions directly impose on
those licensors and authors.
All other non-permissive additional terms are considered "further
restrictions" within the meaning of section 10. If the Program as you
received it, or any part of it, contains a notice stating that it is
governed by this License along with a term that is a further
restriction, you may remove that term. If a license document contains
a further restriction but permits relicensing or conveying under this
License, you may add to a covered work material governed by the terms
of that license document, provided that the further restriction does
not survive such relicensing or conveying.
If you add terms to a covered work in accord with this section, you
must place, in the relevant source files, a statement of the
additional terms that apply to those files, or a notice indicating
where to find the applicable terms.
Additional terms, permissive or non-permissive, may be stated in the
form of a separately written license, or stated as exceptions;
the above requirements apply either way.
8. Termination.
You may not propagate or modify a covered work except as expressly
provided under this License. Any attempt otherwise to propagate or
modify it is void, and will automatically terminate your rights under
this License (including any patent licenses granted under the third
paragraph of section 11).
However, if you cease all violation of this License, then your
license from a particular copyright holder is reinstated (a)
provisionally, unless and until the copyright holder explicitly and
finally terminates your license, and (b) permanently, if the copyright
holder fails to notify you of the violation by some reasonable means
prior to 60 days after the cessation.
Moreover, your license from a particular copyright holder is
reinstated permanently if the copyright holder notifies you of the
violation by some reasonable means, this is the first time you have
received notice of violation of this License (for any work) from that
copyright holder, and you cure the violation prior to 30 days after
your receipt of the notice.
Termination of your rights under this section does not terminate the
licenses of parties who have received copies or rights from you under
this License. If your rights have been terminated and not permanently
reinstated, you do not qualify to receive new licenses for the same
material under section 10.
9. Acceptance Not Required for Having Copies.
You are not required to accept this License in order to receive or
run a copy of the Program. Ancillary propagation of a covered work
occurring solely as a consequence of using peer-to-peer transmission
to receive a copy likewise does not require acceptance. However,
nothing other than this License grants you permission to propagate or
modify any covered work. These actions infringe copyright if you do
not accept this License. Therefore, by modifying or propagating a
covered work, you indicate your acceptance of this License to do so.
10. Automatic Licensing of Downstream Recipients.
Each time you convey a covered work, the recipient automatically
receives a license from the original licensors, to run, modify and
propagate that work, subject to this License. You are not responsible
for enforcing compliance by third parties with this License.
An "entity transaction" is a transaction transferring control of an
organization, or substantially all assets of one, or subdividing an
organization, or merging organizations. If propagation of a covered
work results from an entity transaction, each party to that
transaction who receives a copy of the work also receives whatever
licenses to the work the party's predecessor in interest had or could
give under the previous paragraph, plus a right to possession of the
Corresponding Source of the work from the predecessor in interest, if
the predecessor has it or can get it with reasonable efforts.
You may not impose any further restrictions on the exercise of the
rights granted or affirmed under this License. For example, you may
not impose a license fee, royalty, or other charge for exercise of
rights granted under this License, and you may not initiate litigation
(including a cross-claim or counterclaim in a lawsuit) alleging that
any patent claim is infringed by making, using, selling, offering for
sale, or importing the Program or any portion of it.
11. Patents.
A "contributor" is a copyright holder who authorizes use under this
License of the Program or a work on which the Program is based. The
work thus licensed is called the contributor's "contributor version".
A contributor's "essential patent claims" are all patent claims
owned or controlled by the contributor, whether already acquired or
hereafter acquired, that would be infringed by some manner, permitted
by this License, of making, using, or selling its contributor version,
but do not include claims that would be infringed only as a
consequence of further modification of the contributor version. For
purposes of this definition, "control" includes the right to grant
patent sublicenses in a manner consistent with the requirements of
this License.
Each contributor grants you a non-exclusive, worldwide, royalty-free
patent license under the contributor's essential patent claims, to
make, use, sell, offer for sale, import and otherwise run, modify and
propagate the contents of its contributor version.
In the following three paragraphs, a "patent license" is any express
agreement or commitment, however denominated, not to enforce a patent
(such as an express permission to practice a patent or covenant not to
sue for patent infringement). To "grant" such a patent license to a
party means to make such an agreement or commitment not to enforce a
patent against the party.
If you convey a covered work, knowingly relying on a patent license,
and the Corresponding Source of the work is not available for anyone
to copy, free of charge and under the terms of this License, through a
publicly available network server or other readily accessible means,
then you must either (1) cause the Corresponding Source to be so
available, or (2) arrange to deprive yourself of the benefit of the
patent license for this particular work, or (3) arrange, in a manner
consistent with the requirements of this License, to extend the patent
license to downstream recipients. "Knowingly relying" means you have
actual knowledge that, but for the patent license, your conveying the
covered work in a country, or your recipient's use of the covered work
in a country, would infringe one or more identifiable patents in that
country that you have reason to believe are valid.
If, pursuant to or in connection with a single transaction or
arrangement, you convey, or propagate by procuring conveyance of, a
covered work, and grant a patent license to some of the parties
receiving the covered work authorizing them to use, propagate, modify
or convey a specific copy of the covered work, then the patent license
you grant is automatically extended to all recipients of the covered
work and works based on it.
A patent license is "discriminatory" if it does not include within
the scope of its coverage, prohibits the exercise of, or is
conditioned on the non-exercise of one or more of the rights that are
specifically granted under this License. You may not convey a covered
work if you are a party to an arrangement with a third party that is
in the business of distributing software, under which you make payment
to the third party based on the extent of your activity of conveying
the work, and under which the third party grants, to any of the
parties who would receive the covered work from you, a discriminatory
patent license (a) in connection with copies of the covered work
conveyed by you (or copies made from those copies), or (b) primarily
for and in connection with specific products or compilations that
contain the covered work, unless you entered into that arrangement,
or that patent license was granted, prior to 28 March 2007.
Nothing in this License shall be construed as excluding or limiting
any implied license or other defenses to infringement that may
otherwise be available to you under applicable patent law.
12. No Surrender of Others' Freedom.
If conditions are imposed on you (whether by court order, agreement or
otherwise) that contradict the conditions of this License, they do not
excuse you from the conditions of this License. If you cannot convey a
covered work so as to satisfy simultaneously your obligations under this
License and any other pertinent obligations, then as a consequence you may
not convey it at all. For example, if you agree to terms that obligate you
to collect a royalty for further conveying from those to whom you convey
the Program, the only way you could satisfy both those terms and this
License would be to refrain entirely from conveying the Program.
13. Use with the GNU Affero General Public License.
Notwithstanding any other provision of this License, you have
permission to link or combine any covered work with a work licensed
under version 3 of the GNU Affero General Public License into a single
combined work, and to convey the resulting work. The terms of this
License will continue to apply to the part which is the covered work,
but the special requirements of the GNU Affero General Public License,
section 13, concerning interaction through a network will apply to the
combination as such.
14. Revised Versions of this License.
The Free Software Foundation may publish revised and/or new versions of
the GNU General Public License from time to time. Such new versions will
be similar in spirit to the present version, but may differ in detail to
address new problems or concerns.
Each version is given a distinguishing version number. If the
Program specifies that a certain numbered version of the GNU General
Public License "or any later version" applies to it, you have the
option of following the terms and conditions either of that numbered
version or of any later version published by the Free Software
Foundation. If the Program does not specify a version number of the
GNU General Public License, you may choose any version ever published
by the Free Software Foundation.
If the Program specifies that a proxy can decide which future
versions of the GNU General Public License can be used, that proxy's
public statement of acceptance of a version permanently authorizes you
to choose that version for the Program.
Later license versions may give you additional or different
permissions. However, no additional obligations are imposed on any
author or copyright holder as a result of your choosing to follow a
later version.
15. Disclaimer of Warranty.
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
16. Limitation of Liability.
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<http://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<http://www.gnu.org/philosophy/why-not-lgpl.html>.
Name: libquadmath
Files: numpy.libs/libquadmath*.so
Description: dynamically linked to files compiled with gcc
Availability: https://gcc.gnu.org/git/?p=gcc.git;a=tree;f=libquadmath
License: LGPL-2.1-or-later
GCC Quad-Precision Math Library
Copyright (C) 2010-2019 Free Software Foundation, Inc.
Written by Francois-Xavier Coudert <fxcoudert@gcc.gnu.org>
This file is part of the libquadmath library.
Libquadmath is free software; you can redistribute it and/or
modify it under the terms of the GNU Library General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
Libquadmath is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
https://www.gnu.org/licenses/old-licenses/lgpl-2.1.html

1097
.env/lib/python3.11/site-packages/numpy-1.26.3.dist-info/METADATA Normal file
View File

File diff suppressed because it is too large Load Diff

1407
.env/lib/python3.11/site-packages/numpy-1.26.3.dist-info/RECORD Normal file
View File

File diff suppressed because it is too large Load Diff

0
.env/lib/python3.11/site-packages/numpy-1.26.3.dist-info/REQUESTED Normal file
View File

6
.env/lib/python3.11/site-packages/numpy-1.26.3.dist-info/WHEEL Normal file
View File

@ -0,0 +1,6 @@
Wheel-Version: 1.0
Generator: meson
Root-Is-Purelib: false
Tag: cp311-cp311-manylinux_2_17_x86_64
Tag: cp311-cp311-manylinux2014_x86_64

9
.env/lib/python3.11/site-packages/numpy-1.26.3.dist-info/entry_points.txt Normal file
View File

@ -0,0 +1,9 @@
[array_api]
numpy = numpy.array_api
[pyinstaller40]
hook-dirs = numpy:_pyinstaller_hooks_dir
[console_scripts]
f2py = numpy.f2py.f2py2e:main

BIN
.env/lib/python3.11/site-packages/numpy.libs/libgfortran-040039e1.so.5.0.0 Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy.libs/libopenblas64_p-r0-0cf96a72.3.23.dev.so Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy.libs/libquadmath-96973f99.so.0.0.0 Normal file
View File

Binary file not shown.

156
.env/lib/python3.11/site-packages/numpy/__config__.py Normal file
View File

@ -0,0 +1,156 @@
# This file is generated by numpy's build process
# It contains system_info results at the time of building this package.
from enum import Enum
from numpy.core._multiarray_umath import (
__cpu_features__,
__cpu_baseline__,
__cpu_dispatch__,
)
__all__ = ["show"]
_built_with_meson = True
class DisplayModes(Enum):
stdout = "stdout"
dicts = "dicts"
def _cleanup(d):
"""
Removes empty values in a `dict` recursively
This ensures we remove values that Meson could not provide to CONFIG
"""
if isinstance(d, dict):
return {k: _cleanup(v) for k, v in d.items() if v and _cleanup(v)}
else:
return d
CONFIG = _cleanup(
{
"Compilers": {
"c": {
"name": "gcc",
"linker": "ld.bfd",
"version": "10.2.1",
"commands": "cc",
},
"cython": {
"name": "cython",
"linker": "cython",
"version": "3.0.7",
"commands": "cython",
},
"c++": {
"name": "gcc",
"linker": "ld.bfd",
"version": "10.2.1",
"commands": "c++",
},
},
"Machine Information": {
"host": {
"cpu": "x86_64",
"family": "x86_64",
"endian": "little",
"system": "linux",
},
"build": {
"cpu": "x86_64",
"family": "x86_64",
"endian": "little",
"system": "linux",
},
"cross-compiled": bool("False".lower().replace("false", "")),
},
"Build Dependencies": {
"blas": {
"name": "openblas64",
"found": bool("True".lower().replace("false", "")),
"version": "0.3.23.dev",
"detection method": "pkgconfig",
"include directory": r"/usr/local/include",
"lib directory": r"/usr/local/lib",
"openblas configuration": "USE_64BITINT=1 DYNAMIC_ARCH=1 DYNAMIC_OLDER= NO_CBLAS= NO_LAPACK= NO_LAPACKE= NO_AFFINITY=1 USE_OPENMP= HASWELL MAX_THREADS=2",
"pc file directory": r"/usr/local/lib/pkgconfig",
},
"lapack": {
"name": "dep139639528180752",
"found": bool("True".lower().replace("false", "")),
"version": "1.26.3",
"detection method": "internal",
"include directory": r"unknown",
"lib directory": r"unknown",
"openblas configuration": "unknown",
"pc file directory": r"unknown",
},
},
"Python Information": {
"path": r"/opt/python/cp311-cp311/bin/python",
"version": "3.11",
},
"SIMD Extensions": {
"baseline": __cpu_baseline__,
"found": [
feature for feature in __cpu_dispatch__ if __cpu_features__[feature]
],
"not found": [
feature for feature in __cpu_dispatch__ if not __cpu_features__[feature]
],
},
}
)
def _check_pyyaml():
import yaml
return yaml
def show(mode=DisplayModes.stdout.value):
"""
Show libraries and system information on which NumPy was built
and is being used
Parameters
----------
mode : {`'stdout'`, `'dicts'`}, optional.
Indicates how to display the config information.
`'stdout'` prints to console, `'dicts'` returns a dictionary
of the configuration.
Returns
-------
out : {`dict`, `None`}
If mode is `'dicts'`, a dict is returned, else None
See Also
--------
get_include : Returns the directory containing NumPy C
header files.
Notes
-----
1. The `'stdout'` mode will give more readable
output if ``pyyaml`` is installed
"""
if mode == DisplayModes.stdout.value:
try: # Non-standard library, check import
yaml = _check_pyyaml()
print(yaml.dump(CONFIG))
except ModuleNotFoundError:
import warnings
import json
warnings.warn("Install `pyyaml` for better output", stacklevel=1)
print(json.dumps(CONFIG, indent=2))
elif mode == DisplayModes.dicts.value:
return CONFIG
else:
raise AttributeError(
f"Invalid `mode`, use one of: {', '.join([e.value for e in DisplayModes])}"
)

1050
.env/lib/python3.11/site-packages/numpy/__init__.cython-30.pxd Normal file
View File

File diff suppressed because it is too large Load Diff

1015
.env/lib/python3.11/site-packages/numpy/__init__.pxd Normal file
View File

File diff suppressed because it is too large Load Diff

461
.env/lib/python3.11/site-packages/numpy/__init__.py Normal file
View File

@ -0,0 +1,461 @@
"""
NumPy
=====
Provides
1. An array object of arbitrary homogeneous items
2. Fast mathematical operations over arrays
3. Linear Algebra, Fourier Transforms, Random Number Generation
How to use the documentation
----------------------------
Documentation is available in two forms: docstrings provided
with the code, and a loose standing reference guide, available from
`the NumPy homepage <https://numpy.org>`_.
We recommend exploring the docstrings using
`IPython <https://ipython.org>`_, an advanced Python shell with
TAB-completion and introspection capabilities. See below for further
instructions.
The docstring examples assume that `numpy` has been imported as ``np``::
>>> import numpy as np
Code snippets are indicated by three greater-than signs::
>>> x = 42
>>> x = x + 1
Use the built-in ``help`` function to view a function's docstring::
>>> help(np.sort)
... # doctest: +SKIP
For some objects, ``np.info(obj)`` may provide additional help. This is
particularly true if you see the line "Help on ufunc object:" at the top
of the help() page. Ufuncs are implemented in C, not Python, for speed.
The native Python help() does not know how to view their help, but our
np.info() function does.
To search for documents containing a keyword, do::
>>> np.lookfor('keyword')
... # doctest: +SKIP
General-purpose documents like a glossary and help on the basic concepts
of numpy are available under the ``doc`` sub-module::
>>> from numpy import doc
>>> help(doc)
... # doctest: +SKIP
Available subpackages
---------------------
lib
Basic functions used by several sub-packages.
random
Core Random Tools
linalg
Core Linear Algebra Tools
fft
Core FFT routines
polynomial
Polynomial tools
testing
NumPy testing tools
distutils
Enhancements to distutils with support for
Fortran compilers support and more (for Python <= 3.11).
Utilities
---------
test
Run numpy unittests
show_config
Show numpy build configuration
matlib
Make everything matrices.
__version__
NumPy version string
Viewing documentation using IPython
-----------------------------------
Start IPython and import `numpy` usually under the alias ``np``: `import
numpy as np`. Then, directly past or use the ``%cpaste`` magic to paste
examples into the shell. To see which functions are available in `numpy`,
type ``np.<TAB>`` (where ``<TAB>`` refers to the TAB key), or use
``np.*cos*?<ENTER>`` (where ``<ENTER>`` refers to the ENTER key) to narrow
down the list. To view the docstring for a function, use
``np.cos?<ENTER>`` (to view the docstring) and ``np.cos??<ENTER>`` (to view
the source code).
Copies vs. in-place operation
-----------------------------
Most of the functions in `numpy` return a copy of the array argument
(e.g., `np.sort`). In-place versions of these functions are often
available as array methods, i.e. ``x = np.array([1,2,3]); x.sort()``.
Exceptions to this rule are documented.
"""
import sys
import warnings
from ._globals import _NoValue, _CopyMode
# These exceptions were moved in 1.25 and are hidden from __dir__()
from .exceptions import (
ComplexWarning, ModuleDeprecationWarning, VisibleDeprecationWarning,
TooHardError, AxisError)
# If a version with git hash was stored, use that instead
from . import version
from .version import __version__
# We first need to detect if we're being called as part of the numpy setup
# procedure itself in a reliable manner.
try:
__NUMPY_SETUP__
except NameError:
__NUMPY_SETUP__ = False
if __NUMPY_SETUP__:
sys.stderr.write('Running from numpy source directory.\n')
else:
# Allow distributors to run custom init code before importing numpy.core
from . import _distributor_init
try:
from numpy.__config__ import show as show_config
except ImportError as e:
msg = """Error importing numpy: you should not try to import numpy from
its source directory; please exit the numpy source tree, and relaunch
your python interpreter from there."""
raise ImportError(msg) from e
__all__ = [
'exceptions', 'ModuleDeprecationWarning', 'VisibleDeprecationWarning',
'ComplexWarning', 'TooHardError', 'AxisError']
# mapping of {name: (value, deprecation_msg)}
__deprecated_attrs__ = {}
from . import core
from .core import *
from . import compat
from . import exceptions
from . import dtypes
from . import lib
# NOTE: to be revisited following future namespace cleanup.
# See gh-14454 and gh-15672 for discussion.
from .lib import *
from . import linalg
from . import fft
from . import polynomial
from . import random
from . import ctypeslib
from . import ma
from . import matrixlib as _mat
from .matrixlib import *
# Deprecations introduced in NumPy 1.20.0, 2020-06-06
import builtins as _builtins
_msg = (
"module 'numpy' has no attribute '{n}'.\n"
"`np.{n}` was a deprecated alias for the builtin `{n}`. "
"To avoid this error in existing code, use `{n}` by itself. "
"Doing this will not modify any behavior and is safe. {extended_msg}\n"
"The aliases was originally deprecated in NumPy 1.20; for more "
"details and guidance see the original release note at:\n"
" https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations")
_specific_msg = (
"If you specifically wanted the numpy scalar type, use `np.{}` here.")
_int_extended_msg = (
"When replacing `np.{}`, you may wish to use e.g. `np.int64` "
"or `np.int32` to specify the precision. If you wish to review "
"your current use, check the release note link for "
"additional information.")
_type_info = [
("object", ""), # The NumPy scalar only exists by name.
("bool", _specific_msg.format("bool_")),
("float", _specific_msg.format("float64")),
("complex", _specific_msg.format("complex128")),
("str", _specific_msg.format("str_")),
("int", _int_extended_msg.format("int"))]
__former_attrs__ = {
n: _msg.format(n=n, extended_msg=extended_msg)
for n, extended_msg in _type_info
}
# Future warning introduced in NumPy 1.24.0, 2022-11-17
_msg = (
"`np.{n}` is a deprecated alias for `{an}`. (Deprecated NumPy 1.24)")
# Some of these are awkward (since `np.str` may be preferable in the long
# term), but overall the names ending in 0 seem undesirable
_type_info = [
("bool8", bool_, "np.bool_"),
("int0", intp, "np.intp"),
("uint0", uintp, "np.uintp"),
("str0", str_, "np.str_"),
("bytes0", bytes_, "np.bytes_"),
("void0", void, "np.void"),
("object0", object_,
"`np.object0` is a deprecated alias for `np.object_`. "
"`object` can be used instead. (Deprecated NumPy 1.24)")]
# Some of these could be defined right away, but most were aliases to
# the Python objects and only removed in NumPy 1.24. Defining them should
# probably wait for NumPy 1.26 or 2.0.
# When defined, these should possibly not be added to `__all__` to avoid
# import with `from numpy import *`.
__future_scalars__ = {"bool", "long", "ulong", "str", "bytes", "object"}
__deprecated_attrs__.update({
n: (alias, _msg.format(n=n, an=an)) for n, alias, an in _type_info})
import math
__deprecated_attrs__['math'] = (math,
"`np.math` is a deprecated alias for the standard library `math` "
"module (Deprecated Numpy 1.25). Replace usages of `np.math` with "
"`math`")
del math, _msg, _type_info
from .core import abs
# now that numpy modules are imported, can initialize limits
core.getlimits._register_known_types()
__all__.extend(['__version__', 'show_config'])
__all__.extend(core.__all__)
__all__.extend(_mat.__all__)
__all__.extend(lib.__all__)
__all__.extend(['linalg', 'fft', 'random', 'ctypeslib', 'ma'])
# Remove min and max from __all__ to avoid `from numpy import *` override
# the builtins min/max. Temporary fix for 1.25.x/1.26.x, see gh-24229.
__all__.remove('min')
__all__.remove('max')
__all__.remove('round')
# Remove one of the two occurrences of `issubdtype`, which is exposed as
# both `numpy.core.issubdtype` and `numpy.lib.issubdtype`.
__all__.remove('issubdtype')
# These are exported by np.core, but are replaced by the builtins below
# remove them to ensure that we don't end up with `np.long == np.int_`,
# which would be a breaking change.
del long, unicode
__all__.remove('long')
__all__.remove('unicode')
# Remove things that are in the numpy.lib but not in the numpy namespace
# Note that there is a test (numpy/tests/test_public_api.py:test_numpy_namespace)
# that prevents adding more things to the main namespace by accident.
# The list below will grow until the `from .lib import *` fixme above is
# taken care of
__all__.remove('Arrayterator')
del Arrayterator
# These names were removed in NumPy 1.20. For at least one release,
# attempts to access these names in the numpy namespace will trigger
# a warning, and calling the function will raise an exception.
_financial_names = ['fv', 'ipmt', 'irr', 'mirr', 'nper', 'npv', 'pmt',
'ppmt', 'pv', 'rate']
__expired_functions__ = {
name: (f'In accordance with NEP 32, the function {name} was removed '
'from NumPy version 1.20. A replacement for this function '
'is available in the numpy_financial library: '
'https://pypi.org/project/numpy-financial')
for name in _financial_names}
# Filter out Cython harmless warnings
warnings.filterwarnings("ignore", message="numpy.dtype size changed")
warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
warnings.filterwarnings("ignore", message="numpy.ndarray size changed")
# oldnumeric and numarray were removed in 1.9. In case some packages import
# but do not use them, we define them here for backward compatibility.
oldnumeric = 'removed'
numarray = 'removed'
def __getattr__(attr):
# Warn for expired attributes, and return a dummy function
# that always raises an exception.
import warnings
import math
try:
msg = __expired_functions__[attr]
except KeyError:
pass
else:
warnings.warn(msg, DeprecationWarning, stacklevel=2)
def _expired(*args, **kwds):
raise RuntimeError(msg)
return _expired
# Emit warnings for deprecated attributes
try:
val, msg = __deprecated_attrs__[attr]
except KeyError:
pass
else:
warnings.warn(msg, DeprecationWarning, stacklevel=2)
return val
if attr in __future_scalars__:
# And future warnings for those that will change, but also give
# the AttributeError
warnings.warn(
f"In the future `np.{attr}` will be defined as the "
"corresponding NumPy scalar.", FutureWarning, stacklevel=2)
if attr in __former_attrs__:
raise AttributeError(__former_attrs__[attr])
if attr == 'testing':
import numpy.testing as testing
return testing
elif attr == 'Tester':
"Removed in NumPy 1.25.0"
raise RuntimeError("Tester was removed in NumPy 1.25.")
raise AttributeError("module {!r} has no attribute "
"{!r}".format(__name__, attr))
def __dir__():
public_symbols = globals().keys() | {'testing'}
public_symbols -= {
"core", "matrixlib",
# These were moved in 1.25 and may be deprecated eventually:
"ModuleDeprecationWarning", "VisibleDeprecationWarning",
"ComplexWarning", "TooHardError", "AxisError"
}
return list(public_symbols)
# Pytest testing
from numpy._pytesttester import PytestTester
test = PytestTester(__name__)
del PytestTester
def _sanity_check():
"""
Quick sanity checks for common bugs caused by environment.
There are some cases e.g. with wrong BLAS ABI that cause wrong
results under specific runtime conditions that are not necessarily
achieved during test suite runs, and it is useful to catch those early.
See https://github.com/numpy/numpy/issues/8577 and other
similar bug reports.
"""
try:
x = ones(2, dtype=float32)
if not abs(x.dot(x) - float32(2.0)) < 1e-5:
raise AssertionError()
except AssertionError:
msg = ("The current Numpy installation ({!r}) fails to "
"pass simple sanity checks. This can be caused for example "
"by incorrect BLAS library being linked in, or by mixing "
"package managers (pip, conda, apt, ...). Search closed "
"numpy issues for similar problems.")
raise RuntimeError(msg.format(__file__)) from None
_sanity_check()
del _sanity_check
def _mac_os_check():
"""
Quick Sanity check for Mac OS look for accelerate build bugs.
Testing numpy polyfit calls init_dgelsd(LAPACK)
"""
try:
c = array([3., 2., 1.])
x = linspace(0, 2, 5)
y = polyval(c, x)
_ = polyfit(x, y, 2, cov=True)
except ValueError:
pass
if sys.platform == "darwin":
from . import exceptions
with warnings.catch_warnings(record=True) as w:
_mac_os_check()
# Throw runtime error, if the test failed Check for warning and error_message
if len(w) > 0:
for _wn in w:
if _wn.category is exceptions.RankWarning:
# Ignore other warnings, they may not be relevant (see gh-25433).
error_message = f"{_wn.category.__name__}: {str(_wn.message)}"
msg = (
"Polyfit sanity test emitted a warning, most likely due "
"to using a buggy Accelerate backend."
"\nIf you compiled yourself, more information is available at:"
"\nhttps://numpy.org/devdocs/building/index.html"
"\nOtherwise report this to the vendor "
"that provided NumPy.\n\n{}\n".format(error_message))
raise RuntimeError(msg)
del _wn
del w
del _mac_os_check
# We usually use madvise hugepages support, but on some old kernels it
# is slow and thus better avoided.
# Specifically kernel version 4.6 had a bug fix which probably fixed this:
# https://github.com/torvalds/linux/commit/7cf91a98e607c2f935dbcc177d70011e95b8faff
import os
use_hugepage = os.environ.get("NUMPY_MADVISE_HUGEPAGE", None)
if sys.platform == "linux" and use_hugepage is None:
# If there is an issue with parsing the kernel version,
# set use_hugepages to 0. Usage of LooseVersion will handle
# the kernel version parsing better, but avoided since it
# will increase the import time. See: #16679 for related discussion.
try:
use_hugepage = 1
kernel_version = os.uname().release.split(".")[:2]
kernel_version = tuple(int(v) for v in kernel_version)
if kernel_version < (4, 6):
use_hugepage = 0
except ValueError:
use_hugepages = 0
elif use_hugepage is None:
# This is not Linux, so it should not matter, just enable anyway
use_hugepage = 1
else:
use_hugepage = int(use_hugepage)
# Note that this will currently only make a difference on Linux
core.multiarray._set_madvise_hugepage(use_hugepage)
del use_hugepage
# Give a warning if NumPy is reloaded or imported on a sub-interpreter
# We do this from python, since the C-module may not be reloaded and
# it is tidier organized.
core.multiarray._multiarray_umath._reload_guard()
# default to "weak" promotion for "NumPy 2".
core._set_promotion_state(
os.environ.get("NPY_PROMOTION_STATE",
"weak" if _using_numpy2_behavior() else "legacy"))
# Tell PyInstaller where to find hook-numpy.py
def _pyinstaller_hooks_dir():
from pathlib import Path
return [str(Path(__file__).with_name("_pyinstaller").resolve())]
# Remove symbols imported for internal use
del os
# Remove symbols imported for internal use
del sys, warnings

4422
.env/lib/python3.11/site-packages/numpy/__init__.pyi Normal file
View File

File diff suppressed because it is too large Load Diff

BIN
.env/lib/python3.11/site-packages/numpy/__pycache__/__config__.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/__pycache__/__init__.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/__pycache__/_distributor_init.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/__pycache__/_globals.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/__pycache__/_pytesttester.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/__pycache__/conftest.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/__pycache__/ctypeslib.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/__pycache__/dtypes.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/__pycache__/exceptions.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/__pycache__/matlib.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/__pycache__/version.cpython-311.pyc Normal file
View File

Binary file not shown.

4
.env/lib/python3.11/site-packages/numpy/_core/__init__.py Normal file
View File

@ -0,0 +1,4 @@
"""
This private module only contains stubs for interoperability with
NumPy 2.0 pickled arrays. It may not be used by the end user.
"""

0
.env/lib/python3.11/site-packages/numpy/_core/__init__.pyi Normal file
View File

BIN
.env/lib/python3.11/site-packages/numpy/_core/__pycache__/__init__.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_core/__pycache__/_dtype.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_core/__pycache__/_dtype_ctypes.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_core/__pycache__/_internal.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_core/__pycache__/_multiarray_umath.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_core/__pycache__/multiarray.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_core/__pycache__/umath.cpython-311.pyc Normal file
View File

Binary file not shown.

6
.env/lib/python3.11/site-packages/numpy/_core/_dtype.py Normal file
View File

@ -0,0 +1,6 @@
from numpy.core import _dtype
_globals = globals()
for item in _dtype.__dir__():
_globals[item] = getattr(_dtype, item)

6
.env/lib/python3.11/site-packages/numpy/_core/_dtype_ctypes.py Normal file
View File

@ -0,0 +1,6 @@
from numpy.core import _dtype_ctypes
_globals = globals()
for item in _dtype_ctypes.__dir__():
_globals[item] = getattr(_dtype_ctypes, item)

6
.env/lib/python3.11/site-packages/numpy/_core/_internal.py Normal file
View File

@ -0,0 +1,6 @@
from numpy.core import _internal
_globals = globals()
for item in _internal.__dir__():
_globals[item] = getattr(_internal, item)

6
.env/lib/python3.11/site-packages/numpy/_core/_multiarray_umath.py Normal file
View File

@ -0,0 +1,6 @@
from numpy.core import _multiarray_umath
_globals = globals()
for item in _multiarray_umath.__dir__():
_globals[item] = getattr(_multiarray_umath, item)

6
.env/lib/python3.11/site-packages/numpy/_core/multiarray.py Normal file
View File

@ -0,0 +1,6 @@
from numpy.core import multiarray
_globals = globals()
for item in multiarray.__dir__():
_globals[item] = getattr(multiarray, item)

6
.env/lib/python3.11/site-packages/numpy/_core/umath.py Normal file
View File

@ -0,0 +1,6 @@
from numpy.core import umath
_globals = globals()
for item in umath.__dir__():
_globals[item] = getattr(umath, item)

15
.env/lib/python3.11/site-packages/numpy/_distributor_init.py Normal file
View File

@ -0,0 +1,15 @@
""" Distributor init file
Distributors: you can add custom code here to support particular distributions
of numpy.
For example, this is a good place to put any BLAS/LAPACK initialization code.
The numpy standard source distribution will not put code in this file, so you
can safely replace this file with your own version.
"""
try:
from . import _distributor_init_local
except ImportError:
pass

95
.env/lib/python3.11/site-packages/numpy/_globals.py Normal file
View File

@ -0,0 +1,95 @@
"""
Module defining global singleton classes.
This module raises a RuntimeError if an attempt to reload it is made. In that
way the identities of the classes defined here are fixed and will remain so
even if numpy itself is reloaded. In particular, a function like the following
will still work correctly after numpy is reloaded::
def foo(arg=np._NoValue):
if arg is np._NoValue:
...
That was not the case when the singleton classes were defined in the numpy
``__init__.py`` file. See gh-7844 for a discussion of the reload problem that
motivated this module.
"""
import enum
from ._utils import set_module as _set_module
__all__ = ['_NoValue', '_CopyMode']
# Disallow reloading this module so as to preserve the identities of the
# classes defined here.
if '_is_loaded' in globals():
raise RuntimeError('Reloading numpy._globals is not allowed')
_is_loaded = True
class _NoValueType:
"""Special keyword value.
The instance of this class may be used as the default value assigned to a
keyword if no other obvious default (e.g., `None`) is suitable,
Common reasons for using this keyword are:
- A new keyword is added to a function, and that function forwards its
inputs to another function or method which can be defined outside of
NumPy. For example, ``np.std(x)`` calls ``x.std``, so when a ``keepdims``
keyword was added that could only be forwarded if the user explicitly
specified ``keepdims``; downstream array libraries may not have added
the same keyword, so adding ``x.std(..., keepdims=keepdims)``
unconditionally could have broken previously working code.
- A keyword is being deprecated, and a deprecation warning must only be
emitted when the keyword is used.
"""
__instance = None
def __new__(cls):
# ensure that only one instance exists
if not cls.__instance:
cls.__instance = super().__new__(cls)
return cls.__instance
def __repr__(self):
return "<no value>"
_NoValue = _NoValueType()
@_set_module("numpy")
class _CopyMode(enum.Enum):
"""
An enumeration for the copy modes supported
by numpy.copy() and numpy.array(). The following three modes are supported,
- ALWAYS: This means that a deep copy of the input
array will always be taken.
- IF_NEEDED: This means that a deep copy of the input
array will be taken only if necessary.
- NEVER: This means that the deep copy will never be taken.
If a copy cannot be avoided then a `ValueError` will be
raised.
Note that the buffer-protocol could in theory do copies. NumPy currently
assumes an object exporting the buffer protocol will never do this.
"""
ALWAYS = True
IF_NEEDED = False
NEVER = 2
def __bool__(self):
# For backwards compatibility
if self == _CopyMode.ALWAYS:
return True
if self == _CopyMode.IF_NEEDED:
return False
raise ValueError(f"{self} is neither True nor False.")

0
.env/lib/python3.11/site-packages/numpy/_pyinstaller/__init__.py Normal file
View File

BIN
.env/lib/python3.11/site-packages/numpy/_pyinstaller/__pycache__/__init__.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_pyinstaller/__pycache__/hook-numpy.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_pyinstaller/__pycache__/pyinstaller-smoke.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_pyinstaller/__pycache__/test_pyinstaller.cpython-311.pyc Normal file
View File

Binary file not shown.

37
.env/lib/python3.11/site-packages/numpy/_pyinstaller/hook-numpy.py Normal file
View File

@ -0,0 +1,37 @@
"""This hook should collect all binary files and any hidden modules that numpy
needs.
Our (some-what inadequate) docs for writing PyInstaller hooks are kept here:
https://pyinstaller.readthedocs.io/en/stable/hooks.html
"""
from PyInstaller.compat import is_conda, is_pure_conda
from PyInstaller.utils.hooks import collect_dynamic_libs, is_module_satisfies
# Collect all DLLs inside numpy's installation folder, dump them into built
# app's root.
binaries = collect_dynamic_libs("numpy", ".")
# If using Conda without any non-conda virtual environment manager:
if is_pure_conda:
# Assume running the NumPy from Conda-forge and collect it's DLLs from the
# communal Conda bin directory. DLLs from NumPy's dependencies must also be
# collected to capture MKL, OpenBlas, OpenMP, etc.
from PyInstaller.utils.hooks import conda_support
datas = conda_support.collect_dynamic_libs("numpy", dependencies=True)
# Submodules PyInstaller cannot detect. `_dtype_ctypes` is only imported
# from C and `_multiarray_tests` is used in tests (which are not packed).
hiddenimports = ['numpy.core._dtype_ctypes', 'numpy.core._multiarray_tests']
# Remove testing and building code and packages that are referenced throughout
# NumPy but are not really dependencies.
excludedimports = [
"scipy",
"pytest",
"f2py",
"setuptools",
"numpy.f2py",
"distutils",
"numpy.distutils",
]

32
.env/lib/python3.11/site-packages/numpy/_pyinstaller/pyinstaller-smoke.py Normal file
View File

@ -0,0 +1,32 @@
"""A crude *bit of everything* smoke test to verify PyInstaller compatibility.
PyInstaller typically goes wrong by forgetting to package modules, extension
modules or shared libraries. This script should aim to touch as many of those
as possible in an attempt to trip a ModuleNotFoundError or a DLL load failure
due to an uncollected resource. Missing resources are unlikely to lead to
arithmetic errors so there's generally no need to verify any calculation's
output - merely that it made it to the end OK. This script should not
explicitly import any of numpy's submodules as that gives PyInstaller undue
hints that those submodules exist and should be collected (accessing implicitly
loaded submodules is OK).
"""
import numpy as np
a = np.arange(1., 10.).reshape((3, 3)) % 5
np.linalg.det(a)
a @ a
a @ a.T
np.linalg.inv(a)
np.sin(np.exp(a))
np.linalg.svd(a)
np.linalg.eigh(a)
np.unique(np.random.randint(0, 10, 100))
np.sort(np.random.uniform(0, 10, 100))
np.fft.fft(np.exp(2j * np.pi * np.arange(8) / 8))
np.ma.masked_array(np.arange(10), np.random.rand(10) < .5).sum()
np.polynomial.Legendre([7, 8, 9]).roots()
print("I made it!")

35
.env/lib/python3.11/site-packages/numpy/_pyinstaller/test_pyinstaller.py Normal file
View File

@ -0,0 +1,35 @@
import subprocess
from pathlib import Path
import pytest
# PyInstaller has been very unproactive about replacing 'imp' with 'importlib'.
@pytest.mark.filterwarnings('ignore::DeprecationWarning')
# It also leaks io.BytesIO()s.
@pytest.mark.filterwarnings('ignore::ResourceWarning')
@pytest.mark.parametrize("mode", ["--onedir", "--onefile"])
@pytest.mark.slow
def test_pyinstaller(mode, tmp_path):
"""Compile and run pyinstaller-smoke.py using PyInstaller."""
pyinstaller_cli = pytest.importorskip("PyInstaller.__main__").run
source = Path(__file__).with_name("pyinstaller-smoke.py").resolve()
args = [
# Place all generated files in ``tmp_path``.
'--workpath', str(tmp_path / "build"),
'--distpath', str(tmp_path / "dist"),
'--specpath', str(tmp_path),
mode,
str(source),
]
pyinstaller_cli(args)
if mode == "--onefile":
exe = tmp_path / "dist" / source.stem
else:
exe = tmp_path / "dist" / source.stem / source.stem
p = subprocess.run([str(exe)], check=True, stdout=subprocess.PIPE)
assert p.stdout.strip() == b"I made it!"

207
.env/lib/python3.11/site-packages/numpy/_pytesttester.py Normal file
View File

@ -0,0 +1,207 @@
"""
Pytest test running.
This module implements the ``test()`` function for NumPy modules. The usual
boiler plate for doing that is to put the following in the module
``__init__.py`` file::
from numpy._pytesttester import PytestTester
test = PytestTester(__name__)
del PytestTester
Warnings filtering and other runtime settings should be dealt with in the
``pytest.ini`` file in the numpy repo root. The behavior of the test depends on
whether or not that file is found as follows:
* ``pytest.ini`` is present (develop mode)
All warnings except those explicitly filtered out are raised as error.
* ``pytest.ini`` is absent (release mode)
DeprecationWarnings and PendingDeprecationWarnings are ignored, other
warnings are passed through.
In practice, tests run from the numpy repo are run in develop mode. That
includes the standard ``python runtests.py`` invocation.
This module is imported by every numpy subpackage, so lies at the top level to
simplify circular import issues. For the same reason, it contains no numpy
imports at module scope, instead importing numpy within function calls.
"""
import sys
import os
__all__ = ['PytestTester']
def _show_numpy_info():
import numpy as np
print("NumPy version %s" % np.__version__)
relaxed_strides = np.ones((10, 1), order="C").flags.f_contiguous
print("NumPy relaxed strides checking option:", relaxed_strides)
info = np.lib.utils._opt_info()
print("NumPy CPU features: ", (info if info else 'nothing enabled'))
class PytestTester:
"""
Pytest test runner.
A test function is typically added to a package's __init__.py like so::
from numpy._pytesttester import PytestTester
test = PytestTester(__name__).test
del PytestTester
Calling this test function finds and runs all tests associated with the
module and all its sub-modules.
Attributes
----------
module_name : str
Full path to the package to test.
Parameters
----------
module_name : module name
The name of the module to test.
Notes
-----
Unlike the previous ``nose``-based implementation, this class is not
publicly exposed as it performs some ``numpy``-specific warning
suppression.
"""
def __init__(self, module_name):
self.module_name = module_name
def __call__(self, label='fast', verbose=1, extra_argv=None,
doctests=False, coverage=False, durations=-1, tests=None):
"""
Run tests for module using pytest.
Parameters
----------
label : {'fast', 'full'}, optional
Identifies the tests to run. When set to 'fast', tests decorated
with `pytest.mark.slow` are skipped, when 'full', the slow marker
is ignored.
verbose : int, optional
Verbosity value for test outputs, in the range 1-3. Default is 1.
extra_argv : list, optional
List with any extra arguments to pass to pytests.
doctests : bool, optional
.. note:: Not supported
coverage : bool, optional
If True, report coverage of NumPy code. Default is False.
Requires installation of (pip) pytest-cov.
durations : int, optional
If < 0, do nothing, If 0, report time of all tests, if > 0,
report the time of the slowest `timer` tests. Default is -1.
tests : test or list of tests
Tests to be executed with pytest '--pyargs'
Returns
-------
result : bool
Return True on success, false otherwise.
Notes
-----
Each NumPy module exposes `test` in its namespace to run all tests for
it. For example, to run all tests for numpy.lib:
>>> np.lib.test() #doctest: +SKIP
Examples
--------
>>> result = np.lib.test() #doctest: +SKIP
...
1023 passed, 2 skipped, 6 deselected, 1 xfailed in 10.39 seconds
>>> result
True
"""
import pytest
import warnings
module = sys.modules[self.module_name]
module_path = os.path.abspath(module.__path__[0])
# setup the pytest arguments
pytest_args = ["-l"]
# offset verbosity. The "-q" cancels a "-v".
pytest_args += ["-q"]
if sys.version_info < (3, 12):
with warnings.catch_warnings():
warnings.simplefilter("always")
# Filter out distutils cpu warnings (could be localized to
# distutils tests). ASV has problems with top level import,
# so fetch module for suppression here.
from numpy.distutils import cpuinfo
with warnings.catch_warnings(record=True):
# Ignore the warning from importing the array_api submodule. This
# warning is done on import, so it would break pytest collection,
# but importing it early here prevents the warning from being
# issued when it imported again.
import numpy.array_api
# Filter out annoying import messages. Want these in both develop and
# release mode.
pytest_args += [
"-W ignore:Not importing directory",
"-W ignore:numpy.dtype size changed",
"-W ignore:numpy.ufunc size changed",
"-W ignore::UserWarning:cpuinfo",
]
# When testing matrices, ignore their PendingDeprecationWarnings
pytest_args += [
"-W ignore:the matrix subclass is not",
"-W ignore:Importing from numpy.matlib is",
]
if doctests:
pytest_args += ["--doctest-modules"]
if extra_argv:
pytest_args += list(extra_argv)
if verbose > 1:
pytest_args += ["-" + "v"*(verbose - 1)]
if coverage:
pytest_args += ["--cov=" + module_path]
if label == "fast":
# not importing at the top level to avoid circular import of module
from numpy.testing import IS_PYPY
if IS_PYPY:
pytest_args += ["-m", "not slow and not slow_pypy"]
else:
pytest_args += ["-m", "not slow"]
elif label != "full":
pytest_args += ["-m", label]
if durations >= 0:
pytest_args += ["--durations=%s" % durations]
if tests is None:
tests = [self.module_name]
pytest_args += ["--pyargs"] + list(tests)
# run tests.
_show_numpy_info()
try:
code = pytest.main(pytest_args)
except SystemExit as exc:
code = exc.code
return code == 0

18
.env/lib/python3.11/site-packages/numpy/_pytesttester.pyi Normal file
View File

@ -0,0 +1,18 @@
from collections.abc import Iterable
from typing import Literal as L
__all__: list[str]
class PytestTester:
module_name: str
def __init__(self, module_name: str) -> None: ...
def __call__(
self,
label: L["fast", "full"] = ...,
verbose: int = ...,
extra_argv: None | Iterable[str] = ...,
doctests: L[False] = ...,
coverage: bool = ...,
durations: int = ...,
tests: None | Iterable[str] = ...,
) -> bool: ...

221
.env/lib/python3.11/site-packages/numpy/_typing/__init__.py Normal file
View File

@ -0,0 +1,221 @@
"""Private counterpart of ``numpy.typing``."""
from __future__ import annotations
from .. import ufunc
from .._utils import set_module
from typing import TYPE_CHECKING, final
@final # Disallow the creation of arbitrary `NBitBase` subclasses
@set_module("numpy.typing")
class NBitBase:
"""
A type representing `numpy.number` precision during static type checking.
Used exclusively for the purpose static type checking, `NBitBase`
represents the base of a hierarchical set of subclasses.
Each subsequent subclass is herein used for representing a lower level
of precision, *e.g.* ``64Bit > 32Bit > 16Bit``.
.. versionadded:: 1.20
Examples
--------
Below is a typical usage example: `NBitBase` is herein used for annotating
a function that takes a float and integer of arbitrary precision
as arguments and returns a new float of whichever precision is largest
(*e.g.* ``np.float16 + np.int64 -> np.float64``).
.. code-block:: python
>>> from __future__ import annotations
>>> from typing import TypeVar, TYPE_CHECKING
>>> import numpy as np
>>> import numpy.typing as npt
>>> T1 = TypeVar("T1", bound=npt.NBitBase)
>>> T2 = TypeVar("T2", bound=npt.NBitBase)
>>> def add(a: np.floating[T1], b: np.integer[T2]) -> np.floating[T1 | T2]:
... return a + b
>>> a = np.float16()
>>> b = np.int64()
>>> out = add(a, b)
>>> if TYPE_CHECKING:
... reveal_locals()
... # note: Revealed local types are:
... # note: a: numpy.floating[numpy.typing._16Bit*]
... # note: b: numpy.signedinteger[numpy.typing._64Bit*]
... # note: out: numpy.floating[numpy.typing._64Bit*]
"""
def __init_subclass__(cls) -> None:
allowed_names = {
"NBitBase", "_256Bit", "_128Bit", "_96Bit", "_80Bit",
"_64Bit", "_32Bit", "_16Bit", "_8Bit",
}
if cls.__name__ not in allowed_names:
raise TypeError('cannot inherit from final class "NBitBase"')
super().__init_subclass__()
# Silence errors about subclassing a `@final`-decorated class
class _256Bit(NBitBase): # type: ignore[misc]
pass
class _128Bit(_256Bit): # type: ignore[misc]
pass
class _96Bit(_128Bit): # type: ignore[misc]
pass
class _80Bit(_96Bit): # type: ignore[misc]
pass
class _64Bit(_80Bit): # type: ignore[misc]
pass
class _32Bit(_64Bit): # type: ignore[misc]
pass
class _16Bit(_32Bit): # type: ignore[misc]
pass
class _8Bit(_16Bit): # type: ignore[misc]
pass
from ._nested_sequence import (
_NestedSequence as _NestedSequence,
)
from ._nbit import (
_NBitByte as _NBitByte,
_NBitShort as _NBitShort,
_NBitIntC as _NBitIntC,
_NBitIntP as _NBitIntP,
_NBitInt as _NBitInt,
_NBitLongLong as _NBitLongLong,
_NBitHalf as _NBitHalf,
_NBitSingle as _NBitSingle,
_NBitDouble as _NBitDouble,
_NBitLongDouble as _NBitLongDouble,
)
from ._char_codes import (
_BoolCodes as _BoolCodes,
_UInt8Codes as _UInt8Codes,
_UInt16Codes as _UInt16Codes,
_UInt32Codes as _UInt32Codes,
_UInt64Codes as _UInt64Codes,
_Int8Codes as _Int8Codes,
_Int16Codes as _Int16Codes,
_Int32Codes as _Int32Codes,
_Int64Codes as _Int64Codes,
_Float16Codes as _Float16Codes,
_Float32Codes as _Float32Codes,
_Float64Codes as _Float64Codes,
_Complex64Codes as _Complex64Codes,
_Complex128Codes as _Complex128Codes,
_ByteCodes as _ByteCodes,
_ShortCodes as _ShortCodes,
_IntCCodes as _IntCCodes,
_IntPCodes as _IntPCodes,
_IntCodes as _IntCodes,
_LongLongCodes as _LongLongCodes,
_UByteCodes as _UByteCodes,
_UShortCodes as _UShortCodes,
_UIntCCodes as _UIntCCodes,
_UIntPCodes as _UIntPCodes,
_UIntCodes as _UIntCodes,
_ULongLongCodes as _ULongLongCodes,
_HalfCodes as _HalfCodes,
_SingleCodes as _SingleCodes,
_DoubleCodes as _DoubleCodes,
_LongDoubleCodes as _LongDoubleCodes,
_CSingleCodes as _CSingleCodes,
_CDoubleCodes as _CDoubleCodes,
_CLongDoubleCodes as _CLongDoubleCodes,
_DT64Codes as _DT64Codes,
_TD64Codes as _TD64Codes,
_StrCodes as _StrCodes,
_BytesCodes as _BytesCodes,
_VoidCodes as _VoidCodes,
_ObjectCodes as _ObjectCodes,
)
from ._scalars import (
_CharLike_co as _CharLike_co,
_BoolLike_co as _BoolLike_co,
_UIntLike_co as _UIntLike_co,
_IntLike_co as _IntLike_co,
_FloatLike_co as _FloatLike_co,
_ComplexLike_co as _ComplexLike_co,
_TD64Like_co as _TD64Like_co,
_NumberLike_co as _NumberLike_co,
_ScalarLike_co as _ScalarLike_co,
_VoidLike_co as _VoidLike_co,
)
from ._shape import (
_Shape as _Shape,
_ShapeLike as _ShapeLike,
)
from ._dtype_like import (
DTypeLike as DTypeLike,
_DTypeLike as _DTypeLike,
_SupportsDType as _SupportsDType,
_VoidDTypeLike as _VoidDTypeLike,
_DTypeLikeBool as _DTypeLikeBool,
_DTypeLikeUInt as _DTypeLikeUInt,
_DTypeLikeInt as _DTypeLikeInt,
_DTypeLikeFloat as _DTypeLikeFloat,
_DTypeLikeComplex as _DTypeLikeComplex,
_DTypeLikeTD64 as _DTypeLikeTD64,
_DTypeLikeDT64 as _DTypeLikeDT64,
_DTypeLikeObject as _DTypeLikeObject,
_DTypeLikeVoid as _DTypeLikeVoid,
_DTypeLikeStr as _DTypeLikeStr,
_DTypeLikeBytes as _DTypeLikeBytes,
_DTypeLikeComplex_co as _DTypeLikeComplex_co,
)
from ._array_like import (
NDArray as NDArray,
ArrayLike as ArrayLike,
_ArrayLike as _ArrayLike,
_FiniteNestedSequence as _FiniteNestedSequence,
_SupportsArray as _SupportsArray,
_SupportsArrayFunc as _SupportsArrayFunc,
_ArrayLikeInt as _ArrayLikeInt,
_ArrayLikeBool_co as _ArrayLikeBool_co,
_ArrayLikeUInt_co as _ArrayLikeUInt_co,
_ArrayLikeInt_co as _ArrayLikeInt_co,
_ArrayLikeFloat_co as _ArrayLikeFloat_co,
_ArrayLikeComplex_co as _ArrayLikeComplex_co,
_ArrayLikeNumber_co as _ArrayLikeNumber_co,
_ArrayLikeTD64_co as _ArrayLikeTD64_co,
_ArrayLikeDT64_co as _ArrayLikeDT64_co,
_ArrayLikeObject_co as _ArrayLikeObject_co,
_ArrayLikeVoid_co as _ArrayLikeVoid_co,
_ArrayLikeStr_co as _ArrayLikeStr_co,
_ArrayLikeBytes_co as _ArrayLikeBytes_co,
_ArrayLikeUnknown as _ArrayLikeUnknown,
_UnknownType as _UnknownType,
)
if TYPE_CHECKING:
from ._ufunc import (
_UFunc_Nin1_Nout1 as _UFunc_Nin1_Nout1,
_UFunc_Nin2_Nout1 as _UFunc_Nin2_Nout1,
_UFunc_Nin1_Nout2 as _UFunc_Nin1_Nout2,
_UFunc_Nin2_Nout2 as _UFunc_Nin2_Nout2,
_GUFunc_Nin2_Nout1 as _GUFunc_Nin2_Nout1,
)
else:
# Declare the (type-check-only) ufunc subclasses as ufunc aliases during
# runtime; this helps autocompletion tools such as Jedi (numpy/numpy#19834)
_UFunc_Nin1_Nout1 = ufunc
_UFunc_Nin2_Nout1 = ufunc
_UFunc_Nin1_Nout2 = ufunc
_UFunc_Nin2_Nout2 = ufunc
_GUFunc_Nin2_Nout1 = ufunc

BIN
.env/lib/python3.11/site-packages/numpy/_typing/__pycache__/__init__.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_typing/__pycache__/_add_docstring.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_typing/__pycache__/_array_like.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_typing/__pycache__/_char_codes.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_typing/__pycache__/_dtype_like.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_typing/__pycache__/_extended_precision.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_typing/__pycache__/_nbit.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_typing/__pycache__/_nested_sequence.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_typing/__pycache__/_scalars.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_typing/__pycache__/_shape.cpython-311.pyc Normal file
View File

Binary file not shown.

BIN
.env/lib/python3.11/site-packages/numpy/_typing/__pycache__/setup.cpython-311.pyc Normal file
View File

Binary file not shown.

152
.env/lib/python3.11/site-packages/numpy/_typing/_add_docstring.py Normal file
View File

@ -0,0 +1,152 @@
"""A module for creating docstrings for sphinx ``data`` domains."""
import re
import textwrap
from ._array_like import NDArray
_docstrings_list = []
def add_newdoc(name: str, value: str, doc: str) -> None:
"""Append ``_docstrings_list`` with a docstring for `name`.
Parameters
----------
name : str
The name of the object.
value : str
A string-representation of the object.
doc : str
The docstring of the object.
"""
_docstrings_list.append((name, value, doc))
def _parse_docstrings() -> str:
"""Convert all docstrings in ``_docstrings_list`` into a single
sphinx-legible text block.
"""
type_list_ret = []
for name, value, doc in _docstrings_list:
s = textwrap.dedent(doc).replace("\n", "\n ")
# Replace sections by rubrics
lines = s.split("\n")
new_lines = []
indent = ""
for line in lines:
m = re.match(r'^(\s+)[-=]+\s*$', line)
if m and new_lines:
prev = textwrap.dedent(new_lines.pop())
if prev == "Examples":
indent = ""
new_lines.append(f'{m.group(1)}.. rubric:: {prev}')
else:
indent = 4 * " "
new_lines.append(f'{m.group(1)}.. admonition:: {prev}')
new_lines.append("")
else:
new_lines.append(f"{indent}{line}")
s = "\n".join(new_lines)
s_block = f""".. data:: {name}\n :value: {value}\n {s}"""
type_list_ret.append(s_block)
return "\n".join(type_list_ret)
add_newdoc('ArrayLike', 'typing.Union[...]',
"""
A `~typing.Union` representing objects that can be coerced
into an `~numpy.ndarray`.
Among others this includes the likes of:
* Scalars.
* (Nested) sequences.
* Objects implementing the `~class.__array__` protocol.
.. versionadded:: 1.20
See Also
--------
:term:`array_like`:
Any scalar or sequence that can be interpreted as an ndarray.
Examples
--------
.. code-block:: python
>>> import numpy as np
>>> import numpy.typing as npt
>>> def as_array(a: npt.ArrayLike) -> np.ndarray:
... return np.array(a)
""")
add_newdoc('DTypeLike', 'typing.Union[...]',
"""
A `~typing.Union` representing objects that can be coerced
into a `~numpy.dtype`.
Among others this includes the likes of:
* :class:`type` objects.
* Character codes or the names of :class:`type` objects.
* Objects with the ``.dtype`` attribute.
.. versionadded:: 1.20
See Also
--------
:ref:`Specifying and constructing data types <arrays.dtypes.constructing>`
A comprehensive overview of all objects that can be coerced
into data types.
Examples
--------
.. code-block:: python
>>> import numpy as np
>>> import numpy.typing as npt
>>> def as_dtype(d: npt.DTypeLike) -> np.dtype:
... return np.dtype(d)
""")
add_newdoc('NDArray', repr(NDArray),
"""
A :term:`generic <generic type>` version of
`np.ndarray[Any, np.dtype[+ScalarType]] <numpy.ndarray>`.
Can be used during runtime for typing arrays with a given dtype
and unspecified shape.
.. versionadded:: 1.21
Examples
--------
.. code-block:: python
>>> import numpy as np
>>> import numpy.typing as npt
>>> print(npt.NDArray)
numpy.ndarray[typing.Any, numpy.dtype[+ScalarType]]
>>> print(npt.NDArray[np.float64])
numpy.ndarray[typing.Any, numpy.dtype[numpy.float64]]
>>> NDArrayInt = npt.NDArray[np.int_]
>>> a: NDArrayInt = np.arange(10)
>>> def func(a: npt.ArrayLike) -> npt.NDArray[Any]:
... return np.array(a)
""")
_docstrings = _parse_docstrings()

167
.env/lib/python3.11/site-packages/numpy/_typing/_array_like.py Normal file
View File

@ -0,0 +1,167 @@
from __future__ import annotations
import sys
from collections.abc import Collection, Callable, Sequence
from typing import Any, Protocol, Union, TypeVar, runtime_checkable
from numpy import (
ndarray,
dtype,
generic,
bool_,
unsignedinteger,
integer,
floating,
complexfloating,
number,
timedelta64,
datetime64,
object_,
void,
str_,
bytes_,
)
from ._nested_sequence import _NestedSequence
_T = TypeVar("_T")
_ScalarType = TypeVar("_ScalarType", bound=generic)
_ScalarType_co = TypeVar("_ScalarType_co", bound=generic, covariant=True)
_DType = TypeVar("_DType", bound=dtype[Any])
_DType_co = TypeVar("_DType_co", covariant=True, bound=dtype[Any])
NDArray = ndarray[Any, dtype[_ScalarType_co]]
# The `_SupportsArray` protocol only cares about the default dtype
# (i.e. `dtype=None` or no `dtype` parameter at all) of the to-be returned
# array.
# Concrete implementations of the protocol are responsible for adding
# any and all remaining overloads
@runtime_checkable
class _SupportsArray(Protocol[_DType_co]):
def __array__(self) -> ndarray[Any, _DType_co]: ...
@runtime_checkable
class _SupportsArrayFunc(Protocol):
"""A protocol class representing `~class.__array_function__`."""
def __array_function__(
self,
func: Callable[..., Any],
types: Collection[type[Any]],
args: tuple[Any, ...],
kwargs: dict[str, Any],
) -> object: ...
# TODO: Wait until mypy supports recursive objects in combination with typevars
_FiniteNestedSequence = Union[
_T,
Sequence[_T],
Sequence[Sequence[_T]],
Sequence[Sequence[Sequence[_T]]],
Sequence[Sequence[Sequence[Sequence[_T]]]],
]
# A subset of `npt.ArrayLike` that can be parametrized w.r.t. `np.generic`
_ArrayLike = Union[
_SupportsArray[dtype[_ScalarType]],
_NestedSequence[_SupportsArray[dtype[_ScalarType]]],
]
# A union representing array-like objects; consists of two typevars:
# One representing types that can be parametrized w.r.t. `np.dtype`
# and another one for the rest
_DualArrayLike = Union[
_SupportsArray[_DType],
_NestedSequence[_SupportsArray[_DType]],
_T,
_NestedSequence[_T],
]
if sys.version_info >= (3, 12):
from collections.abc import Buffer
ArrayLike = Buffer | _DualArrayLike[
dtype[Any],
Union[bool, int, float, complex, str, bytes],
]
else:
ArrayLike = _DualArrayLike[
dtype[Any],
Union[bool, int, float, complex, str, bytes],
]
# `ArrayLike<X>_co`: array-like objects that can be coerced into `X`
# given the casting rules `same_kind`
_ArrayLikeBool_co = _DualArrayLike[
dtype[bool_],
bool,
]
_ArrayLikeUInt_co = _DualArrayLike[
dtype[Union[bool_, unsignedinteger[Any]]],
bool,
]
_ArrayLikeInt_co = _DualArrayLike[
dtype[Union[bool_, integer[Any]]],
Union[bool, int],
]
_ArrayLikeFloat_co = _DualArrayLike[
dtype[Union[bool_, integer[Any], floating[Any]]],
Union[bool, int, float],
]
_ArrayLikeComplex_co = _DualArrayLike[
dtype[Union[
bool_,
integer[Any],
floating[Any],
complexfloating[Any, Any],
]],
Union[bool, int, float, complex],
]
_ArrayLikeNumber_co = _DualArrayLike[
dtype[Union[bool_, number[Any]]],
Union[bool, int, float, complex],
]
_ArrayLikeTD64_co = _DualArrayLike[
dtype[Union[bool_, integer[Any], timedelta64]],
Union[bool, int],
]
_ArrayLikeDT64_co = Union[
_SupportsArray[dtype[datetime64]],
_NestedSequence[_SupportsArray[dtype[datetime64]]],
]
_ArrayLikeObject_co = Union[
_SupportsArray[dtype[object_]],
_NestedSequence[_SupportsArray[dtype[object_]]],
]
_ArrayLikeVoid_co = Union[
_SupportsArray[dtype[void]],
_NestedSequence[_SupportsArray[dtype[void]]],
]
_ArrayLikeStr_co = _DualArrayLike[
dtype[str_],
str,
]
_ArrayLikeBytes_co = _DualArrayLike[
dtype[bytes_],
bytes,
]
_ArrayLikeInt = _DualArrayLike[
dtype[integer[Any]],
int,
]
# Extra ArrayLike type so that pyright can deal with NDArray[Any]
# Used as the first overload, should only match NDArray[Any],
# not any actual types.
# https://github.com/numpy/numpy/pull/22193
class _UnknownType:
...
_ArrayLikeUnknown = _DualArrayLike[
dtype[_UnknownType],
_UnknownType,
]

338
.env/lib/python3.11/site-packages/numpy/_typing/_callable.pyi Normal file
View File

@ -0,0 +1,338 @@
"""
A module with various ``typing.Protocol`` subclasses that implement
the ``__call__`` magic method.
See the `Mypy documentation`_ on protocols for more details.
.. _`Mypy documentation`: https://mypy.readthedocs.io/en/stable/protocols.html#callback-protocols
"""
from __future__ import annotations
from typing import (
TypeVar,
overload,
Any,
NoReturn,
Protocol,
)
from numpy import (
ndarray,
dtype,
generic,
bool_,
timedelta64,
number,
integer,
unsignedinteger,
signedinteger,
int8,
int_,
floating,
float64,
complexfloating,
complex128,
)
from ._nbit import _NBitInt, _NBitDouble
from ._scalars import (
_BoolLike_co,
_IntLike_co,
_FloatLike_co,
_NumberLike_co,
)
from . import NBitBase
from ._array_like import NDArray
from ._nested_sequence import _NestedSequence
_T1 = TypeVar("_T1")
_T2 = TypeVar("_T2")
_T1_contra = TypeVar("_T1_contra", contravariant=True)
_T2_contra = TypeVar("_T2_contra", contravariant=True)
_2Tuple = tuple[_T1, _T1]
_NBit1 = TypeVar("_NBit1", bound=NBitBase)
_NBit2 = TypeVar("_NBit2", bound=NBitBase)
_IntType = TypeVar("_IntType", bound=integer)
_FloatType = TypeVar("_FloatType", bound=floating)
_NumberType = TypeVar("_NumberType", bound=number)
_NumberType_co = TypeVar("_NumberType_co", covariant=True, bound=number)
_GenericType_co = TypeVar("_GenericType_co", covariant=True, bound=generic)
class _BoolOp(Protocol[_GenericType_co]):
@overload
def __call__(self, other: _BoolLike_co, /) -> _GenericType_co: ...
@overload # platform dependent
def __call__(self, other: int, /) -> int_: ...
@overload
def __call__(self, other: float, /) -> float64: ...
@overload
def __call__(self, other: complex, /) -> complex128: ...
@overload
def __call__(self, other: _NumberType, /) -> _NumberType: ...
class _BoolBitOp(Protocol[_GenericType_co]):
@overload
def __call__(self, other: _BoolLike_co, /) -> _GenericType_co: ...
@overload # platform dependent
def __call__(self, other: int, /) -> int_: ...
@overload
def __call__(self, other: _IntType, /) -> _IntType: ...
class _BoolSub(Protocol):
# Note that `other: bool_` is absent here
@overload
def __call__(self, other: bool, /) -> NoReturn: ...
@overload # platform dependent
def __call__(self, other: int, /) -> int_: ...
@overload
def __call__(self, other: float, /) -> float64: ...
@overload
def __call__(self, other: complex, /) -> complex128: ...
@overload
def __call__(self, other: _NumberType, /) -> _NumberType: ...
class _BoolTrueDiv(Protocol):
@overload
def __call__(self, other: float | _IntLike_co, /) -> float64: ...
@overload
def __call__(self, other: complex, /) -> complex128: ...
@overload
def __call__(self, other: _NumberType, /) -> _NumberType: ...
class _BoolMod(Protocol):
@overload
def __call__(self, other: _BoolLike_co, /) -> int8: ...
@overload # platform dependent
def __call__(self, other: int, /) -> int_: ...
@overload
def __call__(self, other: float, /) -> float64: ...
@overload
def __call__(self, other: _IntType, /) -> _IntType: ...
@overload
def __call__(self, other: _FloatType, /) -> _FloatType: ...
class _BoolDivMod(Protocol):
@overload
def __call__(self, other: _BoolLike_co, /) -> _2Tuple[int8]: ...
@overload # platform dependent
def __call__(self, other: int, /) -> _2Tuple[int_]: ...
@overload
def __call__(self, other: float, /) -> _2Tuple[floating[_NBit1 | _NBitDouble]]: ...
@overload
def __call__(self, other: _IntType, /) -> _2Tuple[_IntType]: ...
@overload
def __call__(self, other: _FloatType, /) -> _2Tuple[_FloatType]: ...
class _TD64Div(Protocol[_NumberType_co]):
@overload
def __call__(self, other: timedelta64, /) -> _NumberType_co: ...
@overload
def __call__(self, other: _BoolLike_co, /) -> NoReturn: ...
@overload
def __call__(self, other: _FloatLike_co, /) -> timedelta64: ...
class _IntTrueDiv(Protocol[_NBit1]):
@overload
def __call__(self, other: bool, /) -> floating[_NBit1]: ...
@overload
def __call__(self, other: int, /) -> floating[_NBit1 | _NBitInt]: ...
@overload
def __call__(self, other: float, /) -> floating[_NBit1 | _NBitDouble]: ...
@overload
def __call__(
self, other: complex, /,
) -> complexfloating[_NBit1 | _NBitDouble, _NBit1 | _NBitDouble]: ...
@overload
def __call__(self, other: integer[_NBit2], /) -> floating[_NBit1 | _NBit2]: ...
class _UnsignedIntOp(Protocol[_NBit1]):
# NOTE: `uint64 + signedinteger -> float64`
@overload
def __call__(self, other: bool, /) -> unsignedinteger[_NBit1]: ...
@overload
def __call__(
self, other: int | signedinteger[Any], /
) -> Any: ...
@overload
def __call__(self, other: float, /) -> floating[_NBit1 | _NBitDouble]: ...
@overload
def __call__(
self, other: complex, /,
) -> complexfloating[_NBit1 | _NBitDouble, _NBit1 | _NBitDouble]: ...
@overload
def __call__(
self, other: unsignedinteger[_NBit2], /
) -> unsignedinteger[_NBit1 | _NBit2]: ...
class _UnsignedIntBitOp(Protocol[_NBit1]):
@overload
def __call__(self, other: bool, /) -> unsignedinteger[_NBit1]: ...
@overload
def __call__(self, other: int, /) -> signedinteger[Any]: ...
@overload
def __call__(self, other: signedinteger[Any], /) -> signedinteger[Any]: ...
@overload
def __call__(
self, other: unsignedinteger[_NBit2], /
) -> unsignedinteger[_NBit1 | _NBit2]: ...
class _UnsignedIntMod(Protocol[_NBit1]):
@overload
def __call__(self, other: bool, /) -> unsignedinteger[_NBit1]: ...
@overload
def __call__(
self, other: int | signedinteger[Any], /
) -> Any: ...
@overload
def __call__(self, other: float, /) -> floating[_NBit1 | _NBitDouble]: ...
@overload
def __call__(
self, other: unsignedinteger[_NBit2], /
) -> unsignedinteger[_NBit1 | _NBit2]: ...
class _UnsignedIntDivMod(Protocol[_NBit1]):
@overload
def __call__(self, other: bool, /) -> _2Tuple[signedinteger[_NBit1]]: ...
@overload
def __call__(
self, other: int | signedinteger[Any], /
) -> _2Tuple[Any]: ...
@overload
def __call__(self, other: float, /) -> _2Tuple[floating[_NBit1 | _NBitDouble]]: ...
@overload
def __call__(
self, other: unsignedinteger[_NBit2], /
) -> _2Tuple[unsignedinteger[_NBit1 | _NBit2]]: ...
class _SignedIntOp(Protocol[_NBit1]):
@overload
def __call__(self, other: bool, /) -> signedinteger[_NBit1]: ...
@overload
def __call__(self, other: int, /) -> signedinteger[_NBit1 | _NBitInt]: ...
@overload
def __call__(self, other: float, /) -> floating[_NBit1 | _NBitDouble]: ...
@overload
def __call__(
self, other: complex, /,
) -> complexfloating[_NBit1 | _NBitDouble, _NBit1 | _NBitDouble]: ...
@overload
def __call__(
self, other: signedinteger[_NBit2], /,
) -> signedinteger[_NBit1 | _NBit2]: ...
class _SignedIntBitOp(Protocol[_NBit1]):
@overload
def __call__(self, other: bool, /) -> signedinteger[_NBit1]: ...
@overload
def __call__(self, other: int, /) -> signedinteger[_NBit1 | _NBitInt]: ...
@overload
def __call__(
self, other: signedinteger[_NBit2], /,
) -> signedinteger[_NBit1 | _NBit2]: ...
class _SignedIntMod(Protocol[_NBit1]):
@overload
def __call__(self, other: bool, /) -> signedinteger[_NBit1]: ...
@overload
def __call__(self, other: int, /) -> signedinteger[_NBit1 | _NBitInt]: ...
@overload
def __call__(self, other: float, /) -> floating[_NBit1 | _NBitDouble]: ...
@overload
def __call__(
self, other: signedinteger[_NBit2], /,
) -> signedinteger[_NBit1 | _NBit2]: ...
class _SignedIntDivMod(Protocol[_NBit1]):
@overload
def __call__(self, other: bool, /) -> _2Tuple[signedinteger[_NBit1]]: ...
@overload
def __call__(self, other: int, /) -> _2Tuple[signedinteger[_NBit1 | _NBitInt]]: ...
@overload
def __call__(self, other: float, /) -> _2Tuple[floating[_NBit1 | _NBitDouble]]: ...
@overload
def __call__(
self, other: signedinteger[_NBit2], /,
) -> _2Tuple[signedinteger[_NBit1 | _NBit2]]: ...
class _FloatOp(Protocol[_NBit1]):
@overload
def __call__(self, other: bool, /) -> floating[_NBit1]: ...
@overload
def __call__(self, other: int, /) -> floating[_NBit1 | _NBitInt]: ...
@overload
def __call__(self, other: float, /) -> floating[_NBit1 | _NBitDouble]: ...
@overload
def __call__(
self, other: complex, /,
) -> complexfloating[_NBit1 | _NBitDouble, _NBit1 | _NBitDouble]: ...
@overload
def __call__(
self, other: integer[_NBit2] | floating[_NBit2], /
) -> floating[_NBit1 | _NBit2]: ...
class _FloatMod(Protocol[_NBit1]):
@overload
def __call__(self, other: bool, /) -> floating[_NBit1]: ...
@overload
def __call__(self, other: int, /) -> floating[_NBit1 | _NBitInt]: ...
@overload
def __call__(self, other: float, /) -> floating[_NBit1 | _NBitDouble]: ...
@overload
def __call__(
self, other: integer[_NBit2] | floating[_NBit2], /
) -> floating[_NBit1 | _NBit2]: ...
class _FloatDivMod(Protocol[_NBit1]):
@overload
def __call__(self, other: bool, /) -> _2Tuple[floating[_NBit1]]: ...
@overload
def __call__(self, other: int, /) -> _2Tuple[floating[_NBit1 | _NBitInt]]: ...
@overload
def __call__(self, other: float, /) -> _2Tuple[floating[_NBit1 | _NBitDouble]]: ...
@overload
def __call__(
self, other: integer[_NBit2] | floating[_NBit2], /
) -> _2Tuple[floating[_NBit1 | _NBit2]]: ...
class _ComplexOp(Protocol[_NBit1]):
@overload
def __call__(self, other: bool, /) -> complexfloating[_NBit1, _NBit1]: ...
@overload
def __call__(self, other: int, /) -> complexfloating[_NBit1 | _NBitInt, _NBit1 | _NBitInt]: ...
@overload
def __call__(
self, other: complex, /,
) -> complexfloating[_NBit1 | _NBitDouble, _NBit1 | _NBitDouble]: ...
@overload
def __call__(
self,
other: (
integer[_NBit2]
| floating[_NBit2]
| complexfloating[_NBit2, _NBit2]
), /,
) -> complexfloating[_NBit1 | _NBit2, _NBit1 | _NBit2]: ...
class _NumberOp(Protocol):
def __call__(self, other: _NumberLike_co, /) -> Any: ...
class _SupportsLT(Protocol):
def __lt__(self, other: Any, /) -> object: ...
class _SupportsGT(Protocol):
def __gt__(self, other: Any, /) -> object: ...
class _ComparisonOp(Protocol[_T1_contra, _T2_contra]):
@overload
def __call__(self, other: _T1_contra, /) -> bool_: ...
@overload
def __call__(self, other: _T2_contra, /) -> NDArray[bool_]: ...
@overload
def __call__(
self,
other: _SupportsLT | _SupportsGT | _NestedSequence[_SupportsLT | _SupportsGT],
/,
) -> Any: ...

111
.env/lib/python3.11/site-packages/numpy/_typing/_char_codes.py Normal file
View File

@ -0,0 +1,111 @@
from typing import Literal
_BoolCodes = Literal["?", "=?", "<?", ">?", "bool", "bool_", "bool8"]
_UInt8Codes = Literal["uint8", "u1", "=u1", "<u1", ">u1"]
_UInt16Codes = Literal["uint16", "u2", "=u2", "<u2", ">u2"]
_UInt32Codes = Literal["uint32", "u4", "=u4", "<u4", ">u4"]
_UInt64Codes = Literal["uint64", "u8", "=u8", "<u8", ">u8"]
_Int8Codes = Literal["int8", "i1", "=i1", "<i1", ">i1"]
_Int16Codes = Literal["int16", "i2", "=i2", "<i2", ">i2"]
_Int32Codes = Literal["int32", "i4", "=i4", "<i4", ">i4"]
_Int64Codes = Literal["int64", "i8", "=i8", "<i8", ">i8"]
_Float16Codes = Literal["float16", "f2", "=f2", "<f2", ">f2"]
_Float32Codes = Literal["float32", "f4", "=f4", "<f4", ">f4"]
_Float64Codes = Literal["float64", "f8", "=f8", "<f8", ">f8"]
_Complex64Codes = Literal["complex64", "c8", "=c8", "<c8", ">c8"]
_Complex128Codes = Literal["complex128", "c16", "=c16", "<c16", ">c16"]
_ByteCodes = Literal["byte", "b", "=b", "<b", ">b"]
_ShortCodes = Literal["short", "h", "=h", "<h", ">h"]
_IntCCodes = Literal["intc", "i", "=i", "<i", ">i"]
_IntPCodes = Literal["intp", "int0", "p", "=p", "<p", ">p"]
_IntCodes = Literal["long", "int", "int_", "l", "=l", "<l", ">l"]
_LongLongCodes = Literal["longlong", "q", "=q", "<q", ">q"]
_UByteCodes = Literal["ubyte", "B", "=B", "<B", ">B"]
_UShortCodes = Literal["ushort", "H", "=H", "<H", ">H"]
_UIntCCodes = Literal["uintc", "I", "=I", "<I", ">I"]
_UIntPCodes = Literal["uintp", "uint0", "P", "=P", "<P", ">P"]
_UIntCodes = Literal["ulong", "uint", "L", "=L", "<L", ">L"]
_ULongLongCodes = Literal["ulonglong", "Q", "=Q", "<Q", ">Q"]
_HalfCodes = Literal["half", "e", "=e", "<e", ">e"]
_SingleCodes = Literal["single", "f", "=f", "<f", ">f"]
_DoubleCodes = Literal["double", "float", "float_", "d", "=d", "<d", ">d"]
_LongDoubleCodes = Literal["longdouble", "longfloat", "g", "=g", "<g", ">g"]
_CSingleCodes = Literal["csingle", "singlecomplex", "F", "=F", "<F", ">F"]
_CDoubleCodes = Literal["cdouble", "complex", "complex_", "cfloat", "D", "=D", "<D", ">D"]
_CLongDoubleCodes = Literal["clongdouble", "clongfloat", "longcomplex", "G", "=G", "<G", ">G"]
_StrCodes = Literal["str", "str_", "str0", "unicode", "unicode_", "U", "=U", "<U", ">U"]
_BytesCodes = Literal["bytes", "bytes_", "bytes0", "S", "=S", "<S", ">S"]
_VoidCodes = Literal["void", "void0", "V", "=V", "<V", ">V"]
_ObjectCodes = Literal["object", "object_", "O", "=O", "<O", ">O"]
_DT64Codes = Literal[
"datetime64", "=datetime64", "<datetime64", ">datetime64",
"datetime64[Y]", "=datetime64[Y]", "<datetime64[Y]", ">datetime64[Y]",
"datetime64[M]", "=datetime64[M]", "<datetime64[M]", ">datetime64[M]",
"datetime64[W]", "=datetime64[W]", "<datetime64[W]", ">datetime64[W]",
"datetime64[D]", "=datetime64[D]", "<datetime64[D]", ">datetime64[D]",
"datetime64[h]", "=datetime64[h]", "<datetime64[h]", ">datetime64[h]",
"datetime64[m]", "=datetime64[m]", "<datetime64[m]", ">datetime64[m]",
"datetime64[s]", "=datetime64[s]", "<datetime64[s]", ">datetime64[s]",
"datetime64[ms]", "=datetime64[ms]", "<datetime64[ms]", ">datetime64[ms]",
"datetime64[us]", "=datetime64[us]", "<datetime64[us]", ">datetime64[us]",
"datetime64[ns]", "=datetime64[ns]", "<datetime64[ns]", ">datetime64[ns]",
"datetime64[ps]", "=datetime64[ps]", "<datetime64[ps]", ">datetime64[ps]",
"datetime64[fs]", "=datetime64[fs]", "<datetime64[fs]", ">datetime64[fs]",
"datetime64[as]", "=datetime64[as]", "<datetime64[as]", ">datetime64[as]",
"M", "=M", "<M", ">M",
"M8", "=M8", "<M8", ">M8",
"M8[Y]", "=M8[Y]", "<M8[Y]", ">M8[Y]",
"M8[M]", "=M8[M]", "<M8[M]", ">M8[M]",
"M8[W]", "=M8[W]", "<M8[W]", ">M8[W]",
"M8[D]", "=M8[D]", "<M8[D]", ">M8[D]",
"M8[h]", "=M8[h]", "<M8[h]", ">M8[h]",
"M8[m]", "=M8[m]", "<M8[m]", ">M8[m]",
"M8[s]", "=M8[s]", "<M8[s]", ">M8[s]",
"M8[ms]", "=M8[ms]", "<M8[ms]", ">M8[ms]",
"M8[us]", "=M8[us]", "<M8[us]", ">M8[us]",
"M8[ns]", "=M8[ns]", "<M8[ns]", ">M8[ns]",
"M8[ps]", "=M8[ps]", "<M8[ps]", ">M8[ps]",
"M8[fs]", "=M8[fs]", "<M8[fs]", ">M8[fs]",
"M8[as]", "=M8[as]", "<M8[as]", ">M8[as]",
]
_TD64Codes = Literal[
"timedelta64", "=timedelta64", "<timedelta64", ">timedelta64",
"timedelta64[Y]", "=timedelta64[Y]", "<timedelta64[Y]", ">timedelta64[Y]",
"timedelta64[M]", "=timedelta64[M]", "<timedelta64[M]", ">timedelta64[M]",
"timedelta64[W]", "=timedelta64[W]", "<timedelta64[W]", ">timedelta64[W]",
"timedelta64[D]", "=timedelta64[D]", "<timedelta64[D]", ">timedelta64[D]",
"timedelta64[h]", "=timedelta64[h]", "<timedelta64[h]", ">timedelta64[h]",
"timedelta64[m]", "=timedelta64[m]", "<timedelta64[m]", ">timedelta64[m]",
"timedelta64[s]", "=timedelta64[s]", "<timedelta64[s]", ">timedelta64[s]",
"timedelta64[ms]", "=timedelta64[ms]", "<timedelta64[ms]", ">timedelta64[ms]",
"timedelta64[us]", "=timedelta64[us]", "<timedelta64[us]", ">timedelta64[us]",
"timedelta64[ns]", "=timedelta64[ns]", "<timedelta64[ns]", ">timedelta64[ns]",
"timedelta64[ps]", "=timedelta64[ps]", "<timedelta64[ps]", ">timedelta64[ps]",
"timedelta64[fs]", "=timedelta64[fs]", "<timedelta64[fs]", ">timedelta64[fs]",
"timedelta64[as]", "=timedelta64[as]", "<timedelta64[as]", ">timedelta64[as]",
"m", "=m", "<m", ">m",
"m8", "=m8", "<m8", ">m8",
"m8[Y]", "=m8[Y]", "<m8[Y]", ">m8[Y]",
"m8[M]", "=m8[M]", "<m8[M]", ">m8[M]",
"m8[W]", "=m8[W]", "<m8[W]", ">m8[W]",
"m8[D]", "=m8[D]", "<m8[D]", ">m8[D]",
"m8[h]", "=m8[h]", "<m8[h]", ">m8[h]",
"m8[m]", "=m8[m]", "<m8[m]", ">m8[m]",
"m8[s]", "=m8[s]", "<m8[s]", ">m8[s]",
"m8[ms]", "=m8[ms]", "<m8[ms]", ">m8[ms]",
"m8[us]", "=m8[us]", "<m8[us]", ">m8[us]",
"m8[ns]", "=m8[ns]", "<m8[ns]", ">m8[ns]",
"m8[ps]", "=m8[ps]", "<m8[ps]", ">m8[ps]",
"m8[fs]", "=m8[fs]", "<m8[fs]", ">m8[fs]",
"m8[as]", "=m8[as]", "<m8[as]", ">m8[as]",
]

246
.env/lib/python3.11/site-packages/numpy/_typing/_dtype_like.py Normal file
View File

@ -0,0 +1,246 @@
from collections.abc import Sequence
from typing import (
Any,
Sequence,
Union,
TypeVar,
Protocol,
TypedDict,
runtime_checkable,
)
import numpy as np
from ._shape import _ShapeLike
from ._char_codes import (
_BoolCodes,
_UInt8Codes,
_UInt16Codes,
_UInt32Codes,
_UInt64Codes,
_Int8Codes,
_Int16Codes,
_Int32Codes,
_Int64Codes,
_Float16Codes,
_Float32Codes,
_Float64Codes,
_Complex64Codes,
_Complex128Codes,
_ByteCodes,
_ShortCodes,
_IntCCodes,
_IntPCodes,
_IntCodes,
_LongLongCodes,
_UByteCodes,
_UShortCodes,
_UIntCCodes,
_UIntPCodes,
_UIntCodes,
_ULongLongCodes,
_HalfCodes,
_SingleCodes,
_DoubleCodes,
_LongDoubleCodes,
_CSingleCodes,
_CDoubleCodes,
_CLongDoubleCodes,
_DT64Codes,
_TD64Codes,
_StrCodes,
_BytesCodes,
_VoidCodes,
_ObjectCodes,
)
_SCT = TypeVar("_SCT", bound=np.generic)
_DType_co = TypeVar("_DType_co", covariant=True, bound=np.dtype[Any])
_DTypeLikeNested = Any # TODO: wait for support for recursive types
# Mandatory keys
class _DTypeDictBase(TypedDict):
names: Sequence[str]
formats: Sequence[_DTypeLikeNested]
# Mandatory + optional keys
class _DTypeDict(_DTypeDictBase, total=False):
# Only `str` elements are usable as indexing aliases,
# but `titles` can in principle accept any object
offsets: Sequence[int]
titles: Sequence[Any]
itemsize: int
aligned: bool
# A protocol for anything with the dtype attribute
@runtime_checkable
class _SupportsDType(Protocol[_DType_co]):
@property
def dtype(self) -> _DType_co: ...
# A subset of `npt.DTypeLike` that can be parametrized w.r.t. `np.generic`
_DTypeLike = Union[
np.dtype[_SCT],
type[_SCT],
_SupportsDType[np.dtype[_SCT]],
]
# Would create a dtype[np.void]
_VoidDTypeLike = Union[
# (flexible_dtype, itemsize)
tuple[_DTypeLikeNested, int],
# (fixed_dtype, shape)
tuple[_DTypeLikeNested, _ShapeLike],
# [(field_name, field_dtype, field_shape), ...]
#
# The type here is quite broad because NumPy accepts quite a wide
# range of inputs inside the list; see the tests for some
# examples.
list[Any],
# {'names': ..., 'formats': ..., 'offsets': ..., 'titles': ...,
# 'itemsize': ...}
_DTypeDict,
# (base_dtype, new_dtype)
tuple[_DTypeLikeNested, _DTypeLikeNested],
]
# Anything that can be coerced into numpy.dtype.
# Reference: https://docs.scipy.org/doc/numpy/reference/arrays.dtypes.html
DTypeLike = Union[
np.dtype[Any],
# default data type (float64)
None,
# array-scalar types and generic types
type[Any], # NOTE: We're stuck with `type[Any]` due to object dtypes
# anything with a dtype attribute
_SupportsDType[np.dtype[Any]],
# character codes, type strings or comma-separated fields, e.g., 'float64'
str,
_VoidDTypeLike,
]
# NOTE: while it is possible to provide the dtype as a dict of
# dtype-like objects (e.g. `{'field1': ..., 'field2': ..., ...}`),
# this syntax is officially discourged and
# therefore not included in the Union defining `DTypeLike`.
#
# See https://github.com/numpy/numpy/issues/16891 for more details.
# Aliases for commonly used dtype-like objects.
# Note that the precision of `np.number` subclasses is ignored herein.
_DTypeLikeBool = Union[
type[bool],
type[np.bool_],
np.dtype[np.bool_],
_SupportsDType[np.dtype[np.bool_]],
_BoolCodes,
]
_DTypeLikeUInt = Union[
type[np.unsignedinteger],
np.dtype[np.unsignedinteger],
_SupportsDType[np.dtype[np.unsignedinteger]],
_UInt8Codes,
_UInt16Codes,
_UInt32Codes,
_UInt64Codes,
_UByteCodes,
_UShortCodes,
_UIntCCodes,
_UIntPCodes,
_UIntCodes,
_ULongLongCodes,
]
_DTypeLikeInt = Union[
type[int],
type[np.signedinteger],
np.dtype[np.signedinteger],
_SupportsDType[np.dtype[np.signedinteger]],
_Int8Codes,
_Int16Codes,
_Int32Codes,
_Int64Codes,
_ByteCodes,
_ShortCodes,
_IntCCodes,
_IntPCodes,
_IntCodes,
_LongLongCodes,
]
_DTypeLikeFloat = Union[
type[float],
type[np.floating],
np.dtype[np.floating],
_SupportsDType[np.dtype[np.floating]],
_Float16Codes,
_Float32Codes,
_Float64Codes,
_HalfCodes,
_SingleCodes,
_DoubleCodes,
_LongDoubleCodes,
]
_DTypeLikeComplex = Union[
type[complex],
type[np.complexfloating],
np.dtype[np.complexfloating],
_SupportsDType[np.dtype[np.complexfloating]],
_Complex64Codes,
_Complex128Codes,
_CSingleCodes,
_CDoubleCodes,
_CLongDoubleCodes,
]
_DTypeLikeDT64 = Union[
type[np.timedelta64],
np.dtype[np.timedelta64],
_SupportsDType[np.dtype[np.timedelta64]],
_TD64Codes,
]
_DTypeLikeTD64 = Union[
type[np.datetime64],
np.dtype[np.datetime64],
_SupportsDType[np.dtype[np.datetime64]],
_DT64Codes,
]
_DTypeLikeStr = Union[
type[str],
type[np.str_],
np.dtype[np.str_],
_SupportsDType[np.dtype[np.str_]],
_StrCodes,
]
_DTypeLikeBytes = Union[
type[bytes],
type[np.bytes_],
np.dtype[np.bytes_],
_SupportsDType[np.dtype[np.bytes_]],
_BytesCodes,
]
_DTypeLikeVoid = Union[
type[np.void],
np.dtype[np.void],
_SupportsDType[np.dtype[np.void]],
_VoidCodes,
_VoidDTypeLike,
]
_DTypeLikeObject = Union[
type,
np.dtype[np.object_],
_SupportsDType[np.dtype[np.object_]],
_ObjectCodes,
]
_DTypeLikeComplex_co = Union[
_DTypeLikeBool,
_DTypeLikeUInt,
_DTypeLikeInt,
_DTypeLikeFloat,
_DTypeLikeComplex,
]

27
.env/lib/python3.11/site-packages/numpy/_typing/_extended_precision.py Normal file
View File

@ -0,0 +1,27 @@
"""A module with platform-specific extended precision
`numpy.number` subclasses.
The subclasses are defined here (instead of ``__init__.pyi``) such
that they can be imported conditionally via the numpy's mypy plugin.
"""
import numpy as np
from . import (
_80Bit,
_96Bit,
_128Bit,
_256Bit,
)
uint128 = np.unsignedinteger[_128Bit]
uint256 = np.unsignedinteger[_256Bit]
int128 = np.signedinteger[_128Bit]
int256 = np.signedinteger[_256Bit]
float80 = np.floating[_80Bit]
float96 = np.floating[_96Bit]
float128 = np.floating[_128Bit]
float256 = np.floating[_256Bit]
complex160 = np.complexfloating[_80Bit, _80Bit]
complex192 = np.complexfloating[_96Bit, _96Bit]
complex256 = np.complexfloating[_128Bit, _128Bit]
complex512 = np.complexfloating[_256Bit, _256Bit]

16
.env/lib/python3.11/site-packages/numpy/_typing/_nbit.py Normal file
View File

@ -0,0 +1,16 @@
"""A module with the precisions of platform-specific `~numpy.number`s."""
from typing import Any
# To-be replaced with a `npt.NBitBase` subclass by numpy's mypy plugin
_NBitByte = Any
_NBitShort = Any
_NBitIntC = Any
_NBitIntP = Any
_NBitInt = Any
_NBitLongLong = Any
_NBitHalf = Any
_NBitSingle = Any
_NBitDouble = Any
_NBitLongDouble = Any

86
.env/lib/python3.11/site-packages/numpy/_typing/_nested_sequence.py Normal file
View File

@ -0,0 +1,86 @@
"""A module containing the `_NestedSequence` protocol."""
from __future__ import annotations
from collections.abc import Iterator
from typing import (
Any,
TypeVar,
Protocol,
runtime_checkable,
)
__all__ = ["_NestedSequence"]
_T_co = TypeVar("_T_co", covariant=True)
@runtime_checkable
class _NestedSequence(Protocol[_T_co]):
"""A protocol for representing nested sequences.
Warning
-------
`_NestedSequence` currently does not work in combination with typevars,
*e.g.* ``def func(a: _NestedSequnce[T]) -> T: ...``.
See Also
--------
collections.abc.Sequence
ABCs for read-only and mutable :term:`sequences`.
Examples
--------
.. code-block:: python
>>> from __future__ import annotations
>>> from typing import TYPE_CHECKING
>>> import numpy as np
>>> from numpy._typing import _NestedSequence
>>> def get_dtype(seq: _NestedSequence[float]) -> np.dtype[np.float64]:
... return np.asarray(seq).dtype
>>> a = get_dtype([1.0])
>>> b = get_dtype([[1.0]])
>>> c = get_dtype([[[1.0]]])
>>> d = get_dtype([[[[1.0]]]])
>>> if TYPE_CHECKING:
... reveal_locals()
... # note: Revealed local types are:
... # note: a: numpy.dtype[numpy.floating[numpy._typing._64Bit]]
... # note: b: numpy.dtype[numpy.floating[numpy._typing._64Bit]]
... # note: c: numpy.dtype[numpy.floating[numpy._typing._64Bit]]
... # note: d: numpy.dtype[numpy.floating[numpy._typing._64Bit]]
"""
def __len__(self, /) -> int:
"""Implement ``len(self)``."""
raise NotImplementedError
def __getitem__(self, index: int, /) -> _T_co | _NestedSequence[_T_co]:
"""Implement ``self[x]``."""
raise NotImplementedError
def __contains__(self, x: object, /) -> bool:
"""Implement ``x in self``."""
raise NotImplementedError
def __iter__(self, /) -> Iterator[_T_co | _NestedSequence[_T_co]]:
"""Implement ``iter(self)``."""
raise NotImplementedError
def __reversed__(self, /) -> Iterator[_T_co | _NestedSequence[_T_co]]:
"""Implement ``reversed(self)``."""
raise NotImplementedError
def count(self, value: Any, /) -> int:
"""Return the number of occurrences of `value`."""
raise NotImplementedError
def index(self, value: Any, /) -> int:
"""Return the first index of `value`."""
raise NotImplementedError

30
.env/lib/python3.11/site-packages/numpy/_typing/_scalars.py Normal file
View File

@ -0,0 +1,30 @@
from typing import Union, Any
import numpy as np
# NOTE: `_StrLike_co` and `_BytesLike_co` are pointless, as `np.str_` and
# `np.bytes_` are already subclasses of their builtin counterpart
_CharLike_co = Union[str, bytes]
# The 6 `<X>Like_co` type-aliases below represent all scalars that can be
# coerced into `<X>` (with the casting rule `same_kind`)
_BoolLike_co = Union[bool, np.bool_]
_UIntLike_co = Union[_BoolLike_co, np.unsignedinteger[Any]]
_IntLike_co = Union[_BoolLike_co, int, np.integer[Any]]
_FloatLike_co = Union[_IntLike_co, float, np.floating[Any]]
_ComplexLike_co = Union[_FloatLike_co, complex, np.complexfloating[Any, Any]]
_TD64Like_co = Union[_IntLike_co, np.timedelta64]
_NumberLike_co = Union[int, float, complex, np.number[Any], np.bool_]
_ScalarLike_co = Union[
int,
float,
complex,
str,
bytes,
np.generic,
]
# `_VoidLike_co` is technically not a scalar, but it's close enough
_VoidLike_co = Union[tuple[Any, ...], np.void]

7
.env/lib/python3.11/site-packages/numpy/_typing/_shape.py Normal file
View File

@ -0,0 +1,7 @@
from collections.abc import Sequence
from typing import Union, SupportsIndex
_Shape = tuple[int, ...]
# Anything that can be coerced to a shape tuple
_ShapeLike = Union[SupportsIndex, Sequence[SupportsIndex]]

Some files were not shown because too many files have changed in this diff Show More