Bwg ~dZddlmZddlmZddlmZddlmZddlmZddlmZddlmZdd lm Z dd lm Z dd lm Z dd lm Z dd lm Z ddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZmZddlmZgdZde_ ddl!m"Z"e"e#Z$["d Z%y!)"aK ``numpy.lib`` is mostly a space for implementing functions that don't belong in core or in another NumPy submodule with a clear purpose (e.g. ``random``, ``fft``, ``linalg``, ``ma``). ``numpy.lib``'s private submodules contain basic functions that are used by other public modules and are useful to have in the main name-space. ) array_utils) introspect)mixins)npyio)scimath) stride_tricks)_type_check_impl)_index_tricks_impl)_nanfunctions_impl)_function_base_impl)_stride_tricks_impl)_shape_base_impl)_twodim_base_impl)_ufunclike_impl)_histograms_impl) _utils_impl)_arraysetops_impl)_polynomial_impl) _npyio_impl)_arrayterator_impl)_arraypad_impl)_version) Arrayterator) NumpyVersion) add_docstringtracemalloc_domain) add_newdoc) rrrrrrrrrrrz numpy.lib) PytestTestercddl}ddl}|dk(r|jdtd|S|dk(r t dd|d vrt d |d d|d k(r t d dt dj t |)Nrmathz`np.lib.math` is a deprecated alias for the standard library `math` module (Deprecated Numpy 1.25). Replace usages of `numpy.lib.math` with `math`) stacklevelemathznumpy.lib.emath was an alias for emath module that was removed in NumPy 2.0. Replace usages of numpy.lib.emath with numpy.emath.)name) histograms type_check nanfunctions function_basearraypad arraysetops ufunclikeutils twodim_base shape_base polynomial index_tricksz numpy.lib.z is now private. If you are using a public function, it should be available in the main numpy namespace, otherwise check the NumPy 2.0 migration guide. arrayteratorzinumpy.lib.arrayterator submodule is now private. To access Arrayterator class use numpy.lib.Arrayterator.z!module {!r} has no attribute {!r})r!warningswarnDeprecationWarningAttributeErrorformat__name__)attrr!r3s I/var/www/horilla/myenv/lib/python3.12/site-packages/numpy/lib/__init__.py __getattr__r;9s v~  +,>1  N       = =     =  $$*F8T$:< <N)&__doc__rrrrrrr r r r r rrrrrrrrrrrrrnumpy._core._multiarray_umathrrnumpy._core.function_baser__all__ __module__numpy._pytesttesterrr8testr;r<r:rFs !! -"K0  $ ,H%