def wrapped_fsum():
"""
Returns an uncertainty-aware version of math.fsum, which must
be contained in _original_func.
"""
# The fsum function is flattened, in order to use the
# wrap() wrapper:
flat_fsum = lambda *args: original_func(args)
flat_fsum_wrap = uncertainties.wrap(flat_fsum,
itertools.repeat(lambda *args: 1))
return wraps(lambda arg_list: flat_fsum_wrap(*arg_list), original_func)
def wrapped_fsum():
"""
Returns an uncertainty-aware version of math.fsum, which must
be contained in _original_func.
"""
# The fsum function is flattened, in order to use the
# wrap() wrapper:
flat_fsum = lambda *args: original_func(args)
flat_fsum_wrap = uncertainties.wrap(
flat_fsum, itertools.repeat(lambda *args: 1))
return wraps(lambda arg_list: flat_fsum_wrap(*arg_list),
original_func)
this_module = sys.modules[__name__]
# We do not want to wrap module attributes such as __doc__, etc.:
for (name, func) in inspect.getmembers(math, inspect.isbuiltin):
if name in no_std_wrapping:
continue
if name in fixed_derivatives:
derivatives = fixed_derivatives[name]
else:
# Functions whose derivatives are calculated numerically by
# this module fall here (isinf, fmod,...):
derivatives = None # Means: numerical calculation required
setattr(this_module, name,
wraps(uncertainties.wrap(func, derivatives), func))
many_scalar_to_scalar_funcs.append(name)
###############################################################################
########################################
# Special cases: some of the functions from no_std_wrapping:
##########
# The math.factorial function is not converted to an uncertainty-aware
# function, because it does not handle non-integer arguments: it does
# not make sense to give it an argument with a numerical error
# (whereas this would be relevant for the gamma function).
##########
this_module = sys.modules[__name__]
# We do not want to wrap module attributes such as __doc__, etc.:
for (name, func) in inspect.getmembers(math, inspect.isbuiltin):
if name in no_std_wrapping:
continue
if name in fixed_derivatives:
derivatives = fixed_derivatives[name]
else:
# Functions whose derivatives are calculated numerically by
# this module fall here (isinf, fmod,...):
derivatives = None # Means: numerical calculation required
setattr(this_module, name,
wraps(uncertainties.wrap(func, derivatives), func))
many_scalar_to_scalar_funcs.append(name)
###############################################################################
########################################
# Special cases: some of the functions from no_std_wrapping:
##########
# The math.factorial function is not converted to an uncertainty-aware
# function, because it does not handle non-integer arguments: it does
# not make sense to give it an argument with a numerical error
# (whereas this would be relevant for the gamma function).
##########
