def test_docformat():
with suppress_warnings() as sup:
sup.filter(category=DeprecationWarning)
udd = doccer.unindent_dict(doc_dict)
formatted = doccer.docformat(docstring, udd)
assert_equal(formatted, filled_docstring)
single_doc = 'Single line doc %(strtest1)s'
formatted = doccer.docformat(single_doc, doc_dict)
# Note - initial indent of format string does not
# affect subsequent indent of inserted parameter
assert_equal(formatted, """Single line doc Another test
with some indent""")
def __init__(self, seed=None):
"""
Initialize a multivariate t-distributed random variable.
Parameters
----------
seed : Random state.
"""
super(multivariate_t_gen, self).__init__(seed)
self.__doc__ = doccer.docformat(self.__doc__, mvt_docdict_params)
self._random_state = check_random_state(seed)
def __init__(self, seed=None):
super(multivariate_normal_gen, self).__init__(seed)
self.__doc__ = doccer.docformat(self.__doc__, mvn_docdict_params)
self.shape_info = _PSD(shape, allow_singular=allow_singular)
def logpdf(self, x):
x = self._dist._process_quantiles(x, self.dim)
U = self.shape_info.U
log_pdet = self.shape_info.log_pdet
return self._dist._logpdf(x, self.loc, U, log_pdet, self.df, self.dim,
self.shape_info.rank)
def pdf(self, x):
return np.exp(self.logpdf(x))
def rvs(self, size=1, random_state=None):
return self._dist.rvs(loc=self.loc,
shape=self.shape,
df=self.df,
size=size,
random_state=random_state)
multivariate_t = multivariate_t_gen()
# Set frozen generator docstrings from corresponding docstrings in
# matrix_normal_gen and fill in default strings in class docstrings
for name in ['logpdf', 'pdf', 'rvs']:
method = multivariate_t_gen.__dict__[name]
method_frozen = multivariate_t_frozen.__dict__[name]
method_frozen.__doc__ = doccer.docformat(method.__doc__,
mvt_docdict_noparams)
method.__doc__ = doccer.docformat(method.__doc__, mvt_docdict_params)
