Coverage for scipy\linalg\flinalg.py : 0%

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# # Author: Pearu Peterson, March 2002 #
from __future__ import division, print_function, absolute_import
__all__ = ['get_flinalg_funcs']
# The following ensures that possibly missing flavor (C or Fortran) is # replaced with the available one. If none is available, exception # is raised at the first attempt to use the resources. try: from . import _flinalg except ImportError: _flinalg = None # from numpy.distutils.misc_util import PostponedException # _flinalg = PostponedException() # print _flinalg.__doc__ has_column_major_storage = lambda a:0
def has_column_major_storage(arr): return arr.flags['FORTRAN']
_type_conv = {'f':'s', 'd':'d', 'F':'c', 'D':'z'} # 'd' will be default for 'i',..
def get_flinalg_funcs(names,arrays=(),debug=0): """Return optimal available _flinalg function objects with names. arrays are used to determine optimal prefix.""" ordering = [] for i in range(len(arrays)): t = arrays[i].dtype.char if t not in _type_conv: t = 'd' ordering.append((t,i)) if ordering: ordering.sort() required_prefix = _type_conv[ordering[0][0]] else: required_prefix = 'd' # Some routines may require special treatment. # Handle them here before the default lookup.
# Default lookup: if ordering and has_column_major_storage(arrays[ordering[0][1]]): suffix1,suffix2 = '_c','_r' else: suffix1,suffix2 = '_r','_c'
funcs = [] for name in names: func_name = required_prefix + name func = getattr(_flinalg,func_name+suffix1, getattr(_flinalg,func_name+suffix2,None)) funcs.append(func) return tuple(funcs) |