`i *ddlZddlZdZ ddZdS)Nch|dkr!ttj|n tjS)zlCompute the factorial and return as a float Returns infinity when result is too large for a double )floatmath factorialcupyinf)ns j/home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/cupyx/scipy/_lib/_util.pyfloat_factorialr s+ ()3ww5"" # # #DH<TFc|s4ddl}|jj|rd}t ||r?t j|t js |t j }|S)aHelper function for SciPy argument validation. Many CuPy linear algebra functions do support arbitrary array-like input arguments. Examples of commonly unsupported inputs include matrices containing inf/nan, sparse matrix representations, and matrices with complicated elements. Parameters ---------- a : array-like The array-like input check_finite : bool, optional By default True. To check whether the input matrices contain only finite numbers. Disabling may give a performance gain, but may result in problems (crashes, non-termination) if the inputs do contain infinites or NaNs sparse_ok : bool, optional By default False. True if cupy sparse matrices are allowed objects_ok : bool, optional By default False. True if arrays with dype('O') are allowed mask_ok : bool, optional By default False. True if masked arrays are allowed. as_inexact : bool, optional By default False. True to convert the input array to a cupy.inexact dtype Returns ------- ret : cupy.ndarray The converted validated array rNz~Sparse matrices are not supported by this function. Perhaps one of the cupyx.scipy.sparse.linalg functions would work instead.)dtype) cupyx.scipy.sparsescipysparseissparse ValueErrorr issubdtypeinexactastypefloat64)a check_finite sparse_ok objects_okmask_ok as_inexactcupyxmsgs r _asarray_validatedr!sH "!!!! ;  & &q ) ) ")CS// !-q$,// -t|,,A Hr )TFFFF)rrr r!r r r#sO ===(,BG"'; ; ; ; ; ; r