a j@sddlmZddlZddlZddlZddlZddlZddlm Z ddl m Z gdZ e ZeZdddZd d Zd d Zd dZddZddZdddddZddZddZejddZddZdS))NumberN)copy_if_needed) good_size)r set_workers get_workersc Csdt|tr|f}zdd|D}Wn<ty^}z$|p8d}t|d|WYd}~n d}~00|S)aConvert ``x`` to an iterable sequence of int Parameters ---------- x : value, or sequence of values, convertible to int name : str, optional Name of the argument being converted, only used in the error message Returns ------- y : ``List[int]`` cSsg|]}t|qS)operatorindex.0arrAE:\soccer\ml_env\Lib\site-packages\scipy/fft/_pocketfft/helper.py &z$_iterable_of_int..valuez) must be a scalar or iterable of integersN) isinstancer TypeError ValueError)xnameerrr_iterable_of_ints &rcs>|du}|du}|sjt|d}fdd|D}tfdd|DrNtdtt|t|krjtd|st|d }|rt|t|krtd |rt|jkrtd tjt|j}fd dt||D}n,|rtj }tj}nfd d|D}tdd|Dr.td|dt |t|fS)z2Handles shape and axes arguments for nd transformsNaxescs"g|]}|dkr|jn|qS)rndimr rrrr5rz+_init_nd_shape_and_axes..c3s |]}|jkp|dkVqdS)rNrr rrr 7rz*_init_nd_shape_and_axes..z$axes exceeds dimensionality of inputzall axes must be uniqueshapezBwhen given, axes and shape arguments have to be of the same lengthz)shape requires more axes than are presentcs&g|]\}}|dkrj|n|qS)r)r sr rrrrGrcsg|]}j|qSrr r rrrrLrcss|]}|dkVqdS)rNr)r r!rrrrNrinvalid number of data points ( ) specified) ranyrlensetrrangeziplistrtuple)rrrZnoshapeZnoaxesrrr_init_nd_shape_and_axes.s6     r+cCsvt|dst|}|jtjkr.t|tjS|jjdvrHt|tjS|jd}|j dsbdnt }tj |||dS)zl Convert to array with floating or complex dtype. float16 values are also promoted to float32. dtypefc=ZALIGNEDT)r,copy) hasattrnpZasarrayr,Zfloat16Zfloat32kindZfloat64Z newbyteorderflagsrarray)rr,r/rrr _asfarrayUs     r5cCs0||ur dSt|tjs&t|dr&dS|jduS)z| Strict check for `arr` not sharing any data with `original`, under the assumption that arr = asarray(original) FZ __array__N)rr1Zndarrayr0base)Zarroriginalrrr _datacopiedis r8c Csd}tdg|j}t||D]>\}}|j||krDtd|||<qtd|j|||<d}qt|}|sv||dfSt|j}t||D]\}}|||<qt||j} ||| |<| dfS)z5Internal auxiliary function for _raw_fft, _raw_fftnd.FNrT) slicerr(rr*r)r1Zzerosr,) rrrZ must_copyr naxr!axiszrrr _fix_shapeus     r>cCs(|dkrtd|dt||f|fS)Nrr"r#)rr>)rr:r<rrr _fix_shape_1ds  r?)NZbackwardZorthoforwardcCsDzt|}|r|nd|WSty>td|ddYn0dS)zAReturns the pypocketfft normalization mode from the norm argumentr@zInvalid norm value z,, should be "backward", "ortho" or "forward"N) _NORM_MAPKeyErrorr)ZnormrAZinormrrr_normalizations  rDcCs`|durttddS|dkrL|t kr4|dt7}q\td|dt n|dkr\td|S)Ndefault_workersrrz workers value out of range; got z, must not be less than zworkers must not be zero)getattr_config _cpu_countr)workersrrr_workerss    rJccs4t}tt|t_zdVW|t_n|t_0dS)aContext manager for the default number of workers used in `scipy.fft` Parameters ---------- workers : int The default number of workers to use Examples -------- >>> import numpy as np >>> from scipy import fft, signal >>> rng = np.random.default_rng() >>> x = rng.standard_normal((128, 64)) >>> with fft.set_workers(4): ... y = signal.fftconvolve(x, x) N)rrJr r rGrE)rIZ old_workersrrrrs rcCs ttddS)zReturns the default number of workers within the current context Examples -------- >>> from scipy import fft >>> fft.get_workers() 1 >>> with fft.set_workers(4): ... fft.get_workers() 4 rEr)rFrGrrrrrs r)N)numbersrr os threading contextlibnumpyr1Zscipy._lib._utilrZ pypocketfftr__all__localrG cpu_countrHrr+r5r8r>r?rBrDrJcontextmanagerrrrrrrs,    '