def uarray(nominal_values, std_devs=None):
"""
Return a NumPy array of numbers with uncertainties
initialized with the given nominal values and standard
deviations.
nominal_values, std_devs -- valid arguments for numpy.array, with
identical shapes (list of numbers, list of lists, numpy.ndarray,
etc.).
std_devs=None is only used for supporting legacy code, where
nominal_values can be the tuple of nominal values and standard
deviations.
"""
if std_devs is None: # Obsolete, single tuple argument call
deprecation('uarray() should now be called with two arguments.')
(nominal_values, std_devs) = nominal_values
return (numpy.vectorize(
# ! Looking up uncert_core.Variable beforehand through
# '_Variable = uncert_core.Variable' does not result in a
# significant speed up:
lambda v, s: uncert_core.Variable(v, s),
otypes=[object])(nominal_values, std_devs))
def uarray(nominal_values, std_devs=None):
"""
Return a NumPy array of numbers with uncertainties
initialized with the given nominal values and standard
deviations.
nominal_values, std_devs -- valid arguments for numpy.array, with
identical shapes (list of numbers, list of lists, numpy.ndarray,
etc.).
std_devs=None is only used for supporting legacy code, where
nominal_values can be the tuple of nominal values and standard
deviations.
"""
if std_devs is None: # Obsolete, single tuple argument call
deprecation('uarray() should now be called with two arguments.')
(nominal_values, std_devs) = nominal_values
return (numpy.vectorize(
# ! Looking up uncert_core.Variable beforehand through
# '_Variable = uncert_core.Variable' does not result in a
# significant speed up:
lambda v, s: uncert_core.Variable(v, s), otypes=[object])
(nominal_values, std_devs))
def umatrix(nominal_values, std_devs=None):
"""
Constructs a matrix that contains numbers with uncertainties.
The arguments are the same as for uarray(...): nominal values, and
standard deviations.
The returned matrix can be inverted, thanks to the fact that it is
a unumpy.matrix object instead of a numpy.matrix one.
"""
if std_devs is None: # Obsolete, single tuple argument call
deprecation('umatrix() should now be called with two arguments.')
(nominal_values, std_devs) = nominal_values
return uarray(nominal_values, std_devs).view(matrix)
def umatrix(nominal_values, std_devs=None):
"""
Constructs a matrix that contains numbers with uncertainties.
The arguments are the same as for uarray(...): nominal values, and
standard deviations.
The returned matrix can be inverted, thanks to the fact that it is
a unumpy.matrix object instead of a numpy.matrix one.
"""
if std_devs is None: # Obsolete, single tuple argument call
deprecation('umatrix() should now be called with two arguments.')
(nominal_values, std_devs) = nominal_values
return uarray(nominal_values, std_devs).view(matrix)
def __call__(self):
deprecation('the std_devs attribute should not be called'
' anymore: use .std_devs instead of .std_devs().')
return self
def __call__ (self):
deprecation('the std_devs attribute should not be called'
' anymore: use .std_devs instead of .std_devs().')
return self