Файловый менеджер - Редактировать - /opt/imh-python/lib/python3.9/site-packages/numpy/__pycache__/__init__.cpython-39.pyc
Ðазад
a e�hrA � @ s d Z ddlZddlZddlmZmZ ddlmZmZm Z m Z m Z ddl m Z ddl mZ ze W n eyv dZY n0 er�ej�d � �nndd l mZ zdd lmZ W n2 ey� Z zd Zee�e�W Y dZ[n dZ[0 0 g d �Zi Zddl m Z ddl T ddl m Z ddl mZ ddl m Z ddl m Z ddl T ddl m Z ddl m!Z! ddl m"Z" ddl m#Z# ddl m$Z$ ddl m%Z% ddl m&Z' ddl&T ddl(Z)dZ*d Z+d Z,d d e+�-d �fd!e+�-d"�fd#e+�-d$�fd%e+�-d&�fd'e,�-d'�fgZ.d(d)� e.D �Z/d*Z*d+e0d,fd-e1d.fd/e2d0fd1e3d2fd3e4d4fd5e5d6fd7e6d8fgZ.h d9�Z7e�8d:d)� e.D �� ddl9Z9e9d;fed<< [9[*[.dd=l m:Z: e j;�<� e�=d>d?g� e�=e j� e�=e'j� e�=e j� e�=g d@�� e�>dA� e�>dB� e�>dC� e�>dD� [?[@e�>dE� e�>dF� e�>dG� [Ag dH�ZBdId)� eBD �ZCejDdJdKdL� ejDdJdMdL� ejDdJdNdL� dOZEdOZFdPdQ� ZGdRdS� ZHddTlImJZJ eJeK�ZL[JdUdV� ZMeM� [MdWdX� ZNejOdYk�rejPdZd[��XZQeN� d\ZReSeQ�dk�r�d]�-eQd^ jTjKeUeQd^ jV��ZRd_�-eR�ZeWe��W d � n1 �s 0 Y [NddlXZXeXjY�Zd`d�Z[ejOdak�r�e[du �r�z@dZ[eX�\� j]�^db�ddc� Z_e`ddde� e_D ��Z_e_dfk �r�dZ[W n ea�y� dZbY n0 ne[du �r�dZ[nece[�Z[e jd�ee[� [[e jdjf�g� e �heXjY�Zdgei� �r�dhndi�� djdk� Zj[X[[dS )la� 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. � N� )�_NoValue� _CopyMode)�ComplexWarning�ModuleDeprecationWarning�VisibleDeprecationWarning� TooHardError� AxisError)�version)� __version__Fz%Running from numpy source directory. )�_distributor_init)�showz�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.)� exceptionsr r r r r )�core)�*)�compat)r )�dtypes)�lib)�linalg)�fft)� polynomial)�random)� ctypeslib)�ma)� matrixliba� module 'numpy' has no attribute '{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} The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecationszCIf you specifically wanted the numpy scalar type, use `np.{}` here.z�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.)�object� �bool�bool_�floatZfloat64�complexZ complex128�str�str_�intc C s i | ]\}}|t j||d ��qS ))�n� extended_msg��_msg�format)�.0r$ r% � r* �~/root/rpmbuild/BUILDROOT/imh-python39-modules-3.9.7-92.el8.x86_64/opt/imh-python/lib/python3.9/site-packages/numpy/__init__.py� <dictcomp>� s �r, zC`np.{n}` is a deprecated alias for `{an}`. (Deprecated NumPy 1.24)Zbool8znp.bool_Zint0znp.intpZuint0znp.uintpZstr0znp.str_Zbytes0z np.bytes_Zvoid0znp.voidZobject0zk`np.object0` is a deprecated alias for `np.object_`. `object` can be used instead. (Deprecated NumPy 1.24)> r Zulongr! r �bytes�longc C s& i | ] \}}}||t j||d �f�qS ))r$ �anr& )r) r$ �aliasr/ r* r* r+ r, � s z�`np.math` is a deprecated alias for the standard library `math` module (Deprecated Numpy 1.25). Replace usages of `np.math` with `math`�math)�absr � show_config)r r r r r �min�max�roundZ issubdtyper. �unicode� Arrayterator) ZfvZipmtZirrZmirrZnperZnpvZpmtZppmt�pvZratec C s i | ]}|d |� d��qS )z(In accordance with NEP 32, the function z� was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financialr* )r) �namer* r* r+ r, s ��ignoreznumpy.dtype size changed)�messageznumpy.ufunc size changedznumpy.ndarray size changedZremovedc s� dd l }dd l}z t| � W n ty. Y n"0 |j� tdd� � fdd�}|S zt| \}� W n tyr Y n0 |j� tdd� |S | tv r�|jd| � d�tdd� | t v r�t t | ��| dkr�dd l m } |S | d kr�t d ��t d �t| ���d S ) Nr � )� stacklevelc s t � ��d S �N)� RuntimeError)�args�kwds��msgr* r+ �_expired. s z __getattr__.<locals>._expiredzIn the future `np.z4` will be defined as the corresponding NumPy scalar.�testingZTesterz!Tester was removed in NumPy 1.25.z!module {!r} has no attribute {!r})�warningsr1 �__expired_functions__�KeyError�warn�DeprecationWarning�__deprecated_attrs__�__future_scalars__� FutureWarning�__former_attrs__�AttributeErrorZ numpy.testingrF r@ r( �__name__)�attrrG r1 rE �valrF r* rC r+ � __getattr__" s< � �rT c C s$ t � �� dhB } | h d�8 } t| �S )NrF > r r r r r r r )�globals�keys�list)Zpublic_symbolsr* r* r+ �__dir__P s rX )� PytestTesterc C s\ z0t dtd�} t| �| �td� �dk s.t� �W n& tyV d}t|�t��d�Y n0 dS )a� 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. r= )Zdtype� @g�h㈵��>z�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.N)ZonesZfloat32r2 �dot�AssertionErrorr@ r( �__file__)�xrD r* r* r+ � _sanity_check_ s r_ c C sN z6t g d��} tddd�}t| |�}t||ddd�}W n tyH Y n0 dS )z� Quick Sanity check for Mac OS look for accelerate build bugs. Testing numpy polyfit calls init_dgelsd(LAPACK) )g @rZ g �?r r= � T)ZcovN)�arrayZlinspaceZpolyvalZpolyfit� ValueError)�cr^ �y�_r* r* r+ � _mac_os_checky s rf �darwinT)�recordr z{}: {}���a& Polyfit sanity test emitted a warning, most likely due to using a buggy Accelerate backend. If you compiled yourself, more information is available at: https://numpy.org/doc/stable/user/building.html#accelerated-blas-lapack-libraries Otherwise report this to the vendor that provided NumPy. {} ZNUMPY_MADVISE_HUGEPAGE�linux�.r= c c s | ]}t |�V qd S r? )r# )r) �vr* r* r+ � <genexpr>� � rm )� � ZNPY_PROMOTION_STATEZweak�legacyc C s$ ddl m} t| t��d��� �gS )Nr ��PathZ _pyinstaller)�pathlibrs r! r] � with_name�resolverr r* r* r+ �_pyinstaller_hooks_dir� s rw )k�__doc__�sysrG Z_globalsr r r r r r r r r r r Z__NUMPY_SETUP__� NameError�stderr�writer Znumpy.__config__r r3 � ImportError�erD �__all__rL r r r r r r r r r r r Z_mat�builtinsZ _builtinsr' Z _specific_msgZ_int_extended_msgr( Z _type_inforO r ZintpZuintpr" �bytes_�voidZobject_rM �updater1 r2 Z getlimitsZ_register_known_types�extend�remover. r7 r8 Z_financial_namesrH �filterwarningsZ oldnumericZnumarrayrT rX Znumpy._pytesttesterrY rQ �testr_ rf �platform�catch_warnings�w� error_message�len�categoryr! r< r@ �os�environ�getZ use_hugepage�uname�release�splitZkernel_version�tuplerb Z use_hugepagesr# Z multiarrayZ_set_madvise_hugepageZ_multiarray_umathZ _reload_guardZ_set_promotion_stateZ_using_numpy2_behaviorrw r* r* r* r+ �<module> s e � �� ����� �� �. ��( ��
| ver. 1.1 | |
.
| PHP 8.3.30 | Ð“ÐµÐ½ÐµÑ€Ð°Ñ†Ð¸Ñ Ñтраницы: 0 |
proxy
|
phpinfo
|
ÐаÑтройка