G/Ph(hdZddlmZmZmZmZmZmZmZm Z m Z m Z m Z m Z mZmZmZGddZdS)z Array API Inspection namespace This is the namespace for inspection functions as defined by the array API standard. See https://data-apis.org/array-api/latest/API_specification/inspection.html for more details. )dtypeboolintpint8int16int32int64uint8uint16uint32uint64float32float64 complex64 complex128cBeZdZdZdZdZdZdddZdddd Zd ZdS) __array_namespace_info__a Get the array API inspection namespace for NumPy. The array API inspection namespace defines the following functions: - capabilities() - default_device() - default_dtypes() - dtypes() - devices() See https://data-apis.org/array-api/latest/API_specification/inspection.html for more details. Returns ------- info : ModuleType The array API inspection namespace for NumPy. Examples -------- >>> info = np.__array_namespace_info__() >>> info.default_dtypes() {'real floating': numpy.float64, 'complex floating': numpy.complex128, 'integral': numpy.int64, 'indexing': numpy.int64} numpyc dddS)a^ Return a dictionary of array API library capabilities. The resulting dictionary has the following keys: - **"boolean indexing"**: boolean indicating whether an array library supports boolean indexing. Always ``True`` for NumPy. - **"data-dependent shapes"**: boolean indicating whether an array library supports data-dependent output shapes. Always ``True`` for NumPy. See https://data-apis.org/array-api/latest/API_specification/generated/array_api.info.capabilities.html for more details. See Also -------- __array_namespace_info__.default_device, __array_namespace_info__.default_dtypes, __array_namespace_info__.dtypes, __array_namespace_info__.devices Returns ------- capabilities : dict A dictionary of array API library capabilities. Examples -------- >>> info = np.__array_namespace_info__() >>> info.capabilities() {'boolean indexing': True, 'data-dependent shapes': True} T)zboolean indexingzdata-dependent shapesselfs U/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/numpy/_array_api_info.py capabilitiesz%__array_namespace_info__.capabilities?sL!%%)   cdS)a< The default device used for new NumPy arrays. For NumPy, this always returns ``'cpu'``. See Also -------- __array_namespace_info__.capabilities, __array_namespace_info__.default_dtypes, __array_namespace_info__.dtypes, __array_namespace_info__.devices Returns ------- device : str The default device used for new NumPy arrays. Examples -------- >>> info = np.__array_namespace_info__() >>> info.default_device() 'cpu' cpurrs rdefault_devicez'__array_namespace_info__.default_deviceks 2urN)devicec|dvrtd|ttttttttdS)as The default data types used for new NumPy arrays. For NumPy, this always returns the following dictionary: - **"real floating"**: ``numpy.float64`` - **"complex floating"**: ``numpy.complex128`` - **"integral"**: ``numpy.intp`` - **"indexing"**: ``numpy.intp`` Parameters ---------- device : str, optional The device to get the default data types for. For NumPy, only ``'cpu'`` is allowed. Returns ------- dtypes : dict A dictionary describing the default data types used for new NumPy arrays. See Also -------- __array_namespace_info__.capabilities, __array_namespace_info__.default_device, __array_namespace_info__.dtypes, __array_namespace_info__.devices Examples -------- >>> info = np.__array_namespace_info__() >>> info.default_dtypes() {'real floating': numpy.float64, 'complex floating': numpy.complex128, 'integral': numpy.int64, 'indexing': numpy.int64} rN>> info = np.__array_namespace_info__() >>> info.dtypes(kind='signed integer') {'int8': numpy.int8, 'int16': numpy.int16, 'int32': numpy.int32, 'int64': numpy.int64} r!r"N) rrrrr r r r r rrrrrzsigned integer)rrrr zunsigned integer)r r r r r%)rrrr r r r r r#)rrr$)rrnumeric) rrrr r r r r rrrr)r)zunsupported kind: )r'rrrrrr r r r r rrrr isinstancetupleupdatedtypes)rrr)resks rr/z__array_namespace_info__.dtypessn  & &  <d d uuuu------ >> >>"9--#J//  6>>D> ! # # #d uuu   % % %u------   :  d uuuu------    ? " " >> >>  % % %"9--#J//  9  d uuuu------ >> >>"9--#J//    dE " " C 0 0 4;;A;..////J6d66777rcdgS)a- The devices supported by NumPy. For NumPy, this always returns ``['cpu']``. Returns ------- devices : list of str The devices supported by NumPy. See Also -------- __array_namespace_info__.capabilities, __array_namespace_info__.default_device, __array_namespace_info__.default_dtypes, __array_namespace_info__.dtypes Examples -------- >>> info = np.__array_namespace_info__() >>> info.devices() ['cpu'] rrrs rdevicesz __array_namespace_info__.devicesAs 2wr) __name__ __module__ __qualname____doc__rrr(r/r3rrrrrs>J* * * X6(,2 2 2 2 2 h $$E8E8E8E8E8NrrN)r7 numpy._corerrrrrrr r r r r rrrrrrrrr9s&}}}}}}}}}}r