def __call__(self, func):
# if key errors occur, fail silently
try:
self._add_url(func)
np.add_docstring(func, self.doc)
return func
except KeyError:
return func
def __call__(self, func):
# if key errors occur, fail silently
try:
self._add_url(func)
np.add_docstring(func, self.doc)
return func
except KeyError:
return func
np.can_cast(AR_f8, 1) # E: incompatible type
np.vdot(AR_M, AR_M) # E: incompatible type
np.copyto(AR_LIKE_f, AR_f8) # E: incompatible type
np.putmask(AR_LIKE_f, [True, True, False], 1.5) # E: incompatible type
np.packbits(AR_f8) # E: incompatible type
np.packbits(AR_u1, bitorder=">") # E: incompatible type
np.unpackbits(AR_i8) # E: incompatible type
np.unpackbits(AR_u1, bitorder=">") # E: incompatible type
np.shares_memory(1, 1, max_work=i8) # E: incompatible type
np.may_share_memory(1, 1, max_work=i8) # E: incompatible type
np.arange(M) # E: No overload variant
np.arange(stop=10) # E: No overload variant
np.datetime_data(int) # E: incompatible type
np.busday_offset("2012", 10) # E: incompatible type
np.datetime_as_string("2012") # E: incompatible type
np.compare_chararrays("a", b"a", "==", False) # E: No overload variant
np.add_docstring(func, None) # E: incompatible type
def test_add_docstring(self):
import numpy as np
foo = lambda: None
np.add_docstring(foo, "Does a thing")
assert foo.__doc__ == "Does a thing"
# -*- coding: utf-8 -*- """ Created on Thu Nov 2 16:07:17 2017 @author: user """ from sklearn import tree features = [[140, 1], [130, 1], [150, 0], [170, 0]] labels = [0, 0, 1, 1] clf = tree.DecisionTreeClassifier() clf = clf.fit(features, labels) print(clf.predict([[140, 1]])) import numpy as np a = np.array([[0, 1, 2, 3, 4], [9, 8, 7, 6, 5]]) a.shape import numpy as np a = np.array([[0, 1, 2, 3, 4], [9, 8, 7, 6, 5]]) a.itemsize b = np.random.shuffle(a) print(b) a = np.add_docstring((3, 4), dtype='int32')
def yu_ye_wang(shape, **kargs):
return phantom(shape, yu_ye_wang_parameters, **kargs)
# add docstrings to specific phantoms
common_docstring = '''Generates a %(name)s phantom with a given shape and dtype
Parameters
----------
shape: 3-tuple of ints
Shape of the 3d output cube.
dtype: data-type
Data type of the output cube.
Returns
-------
cube: ndarray
3-dimensional phantom.
'''
modified_shepp_logan_docstring = common_docstring % {
'name': 'Modified Shepp-Logan'
}
shepp_logan_docstring = common_docstring % {'name': 'Shepp-Logan'}
yu_ye_wang_docstring = common_docstring % {'name': 'Yu Ye Wang'}
np.add_docstring(modified_shepp_logan, modified_shepp_logan_docstring)
np.add_docstring(shepp_logan, shepp_logan_docstring)
np.add_docstring(yu_ye_wang, yu_ye_wang_docstring)
def test_add_docstring(self):
import numpy as np
foo = lambda: None
np.add_docstring(foo, "Does a thing")
assert foo.__doc__ == "Does a thing"
["2011-01"], "2011-02",
roll="forward")) # E: numpy.ndarray[Any, numpy.dtype[numpy.datetime64]]
reveal_type(np.is_busday("2012")) # E: numpy.bool_
reveal_type(np.is_busday(
["2012"])) # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]]
reveal_type(np.datetime_as_string(M)) # E: numpy.str_
reveal_type(np.datetime_as_string(
AR_M)) # E: numpy.ndarray[Any, numpy.dtype[numpy.str_]]
reveal_type(np.compare_chararrays(
"a", "b", "!=",
rstrip=False)) # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]]
reveal_type(np.compare_chararrays(
b"a", b"a", "==", True)) # E: numpy.ndarray[Any, numpy.dtype[numpy.bool_]]
reveal_type(np.add_docstring(func, "test")) # E: None
reveal_type(np.nested_iters([AR_i8, AR_i8], [[0], [1]],
flags=["c_index"])) # E: tuple[numpy.nditer]
reveal_type(
np.nested_iters([AR_i8, AR_i8], [[0], [1]],
op_flags=[["readonly",
"readonly"]])) # E: tuple[numpy.nditer]
reveal_type(np.nested_iters([AR_i8, AR_i8], [[0], [1]],
op_dtypes=np.int_)) # E: tuple[numpy.nditer]
reveal_type(
np.nested_iters([AR_i8, AR_i8], [[0], [1]], order="C",
casting="no")) # E: tuple[numpy.nditer]
