def test_empty_ds():
ds = Docstring(None)
ds.replace_block('summary', ['The is the new summary.'])
ds.remove_parameters('x')
new = Parameter('w', 'ndarray', ['An array input.'])
ds.insert_parameters('y', new)
assert str(ds) == 'None'
def test_remove_parameter():
ds = Docstring(good)
ds.remove_parameters('x')
assert 'x : int' not in str(ds)
ds = Docstring(good)
ds.remove_parameters(['x', 'y'])
assert 'x : int' not in str(ds)
assert 'y : float' not in str(ds)
with pytest.raises(ValueError):
Docstring(good).remove_parameters(['w'])
ds = remove_parameters(good, 'x')
assert 'x : int' not in ds
assert isinstance(ds, str)
rem = num
else:
if n is None:
n = N - D + 1
input = np.zeros(n, float)
input[0] = 1
quot = signal.lfilter(num, den, input)
num_approx = signal.convolve(den, quot, mode="full")
if len(num) < len(num_approx): # 1d only ?
num = np.concatenate((num, np.zeros(len(num_approx) - len(num))))
rem = num - num_approx
return quot, rem
_generate_sample_doc = Docstring(arma_generate_sample.__doc__)
_generate_sample_doc.remove_parameters(["ar", "ma"])
_generate_sample_doc.replace_block("Notes", [])
_generate_sample_doc.replace_block("Examples", [])
class ArmaProcess(object):
r"""
Theoretical properties of an ARMA process for specified lag-polynomials.
Parameters
----------
ar : array_like
Coefficient for autoregressive lag polynomial, including zero lag.
Must be entered using the signs from the lag polynomial representation.
See the notes for more information about the sign.
ma : array_like
rem = num
else:
if n is None:
n = N - D + 1
input = np.zeros(n, float)
input[0] = 1
quot = signal.lfilter(num, den, input)
num_approx = signal.convolve(den, quot, mode='full')
if len(num) < len(num_approx): # 1d only ?
num = np.concatenate((num, np.zeros(len(num_approx) - len(num))))
rem = num - num_approx
return quot, rem
_generate_sample_doc = Docstring(arma_generate_sample.__doc__)
_generate_sample_doc.remove_parameters(['ar', 'ma'])
_generate_sample_doc.replace_block('Notes', [])
_generate_sample_doc.replace_block('Examples', [])
class ArmaProcess(object):
r"""
Theoretical properties of an ARMA process for specified lag-polynomials.
Parameters
----------
ar : array_like
Coefficient for autoregressive lag polynomial, including zero lag.
See the notes for some information about the sign.
ma : array_like
Coefficient for moving-average lag polynomial, including zero lag.