+ JV-j(Rt^RIHtHtHtHtHtHtHtH t H t H t H t H t HtHtHt^RIHt]!R4!RR44tR#)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. )bool complex64 complex128dtypefloat32float64int8int16int32int64intpuint8uint16uint32uint64) set_modulenumpycVa]tRt^toRtRtRtRR/RltRRRR/RltR t R t Vt R#) __array_namespace_info__aO 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} c RRRRR^@/#)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, 'max dimensions': 64} zboolean indexingTzdata-dependent shapeszmax dimensionsselfs&f/Volumes/fast/ai/experiments/ui-tars-smoke/.venv/lib/python3.14/site-packages/numpy/_array_api_info.py capabilities%__array_namespace_info__.capabilities?sN  #T b  c R#)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_device'__array_namespace_info__.default_deviceks2rdeviceNc  VR9d\RV 24hR\\4R\\4R\\4R\\4/#)a{ 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} >> info = np.__array_namespace_info__() >>> info.dtypes(kind='signed integer') {'int8': numpy.int8, 'int16': numpy.int16, 'int32': numpy.int32, 'int64': numpy.int64} r#rrr r r r rrrrrrrzsigned integerzunsigned integerr&r$r%numeric)r,zunsupported kind: r()r)rrrr r r r rrrrrrr isinstancetupleupdatedtypes)rr!r,resks&$$ rr2__array_namespace_info__.dtypessn  &8  <d d uuuu%-%-%-5>5>U9-eJ/  6>D> ! # #d uuu   % %u%-%-%-   : d uuuu%-%-%-   ? "5>5>  % %U9-eJ/  9 d uuuu%-%-%-5>5>U9-eJ/   dE " "C 4;;A;./J-dX677rc R.#)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&rdevices __array_namespace_info__.devicesAs 2wrr) __name__ __module__ __qualname____firstlineno____doc__rrr*r2r7__static_attributes____classdictcell__) __classdict__s@rrrsC>* X62 t2 hE8tE8$E8NrrN)r= numpy._corerrrrrrrr r r r r rrr numpy._utilsrrrrrrCsI"$ G{{{r