File: C:/Users/fred/anaconda3/Lib/site-packages/mkl_fft/_float_utils.py
#!/usr/bin/env python
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import numpy as np
__all__ = ['__upcast_float16_array', '__downcast_float128_array', '__supported_array_or_not_implemented']
def __upcast_float16_array(x):
"""
Used in _scipy_fft to upcast float16 to float32,
instead of float64, as mkl_fft would do"""
if hasattr(x, "dtype"):
xdt = x.dtype
if xdt == np.half:
# no half-precision routines, so convert to single precision
return np.asarray(x, dtype=np.float32)
if xdt == np.longdouble and not xdt == np.float64:
raise ValueError("type %s is not supported" % xdt)
if not isinstance(x, np.ndarray):
__x = np.asarray(x)
xdt = __x.dtype
if xdt == np.half:
# no half-precision routines, so convert to single precision
return np.asarray(__x, dtype=np.float32)
if xdt == np.longdouble and not xdt == np.float64:
raise ValueError("type %s is not supported" % xdt)
return __x
return x
def __downcast_float128_array(x):
"""
Used in _numpy_fft to unsafely downcast float128/complex256 to
complex128, instead of raising an error"""
if hasattr(x, "dtype"):
xdt = x.dtype
if xdt == np.longdouble and not xdt == np.float64:
return np.asarray(x, dtype=np.float64)
elif xdt == np.clongdouble and not xdt == np.complex128:
return np.asarray(x, dtype=np.complex128)
if not isinstance(x, np.ndarray):
__x = np.asarray(x)
xdt = __x.dtype
if xdt == np.longdouble and not xdt == np.float64:
return np.asarray(x, dtype=np.float64)
elif xdt == np.clongdouble and not xdt == np.complex128:
return np.asarray(x, dtype=np.complex128)
return __x
return x
def __supported_array_or_not_implemented(x):
"""
Used in _scipy_fft_backend to convert array to float32,
float64, complex64, or complex128 type or return NotImplemented
"""
__x = np.asarray(x)
black_list = [np.half]
if hasattr(np, 'float128'):
black_list.append(np.float128)
if hasattr(np, 'complex256'):
black_list.append(np.complex256)
if __x.dtype in black_list:
return NotImplemented
return __x