def test_bool(self):
import _numpypy as numpy
assert numpy.bool_.mro() == [numpy.bool_, numpy.generic, object]
assert numpy.bool_(3) is numpy.True_
assert numpy.bool_("") is numpy.False_
assert type(numpy.True_) is type(numpy.False_) is numpy.bool_
class X(numpy.bool_):
pass
assert type(X(True)) is numpy.bool_
assert X(True) is numpy.True_
assert numpy.bool_("False") is numpy.True_
def test_bool(self):
import _numpypy as numpy
assert numpy.bool_.mro() == [numpy.bool_, numpy.generic, object]
assert numpy.bool_(3) is numpy.True_
assert numpy.bool_("") is numpy.False_
assert type(numpy.True_) is type(numpy.False_) is numpy.bool_
class X(numpy.bool_):
pass
assert type(X(True)) is numpy.bool_
assert X(True) is numpy.True_
assert numpy.bool_("False") is numpy.True_
def test_dtype_guessing(self):
from _numpypy import array, dtype, float64, int8, bool_
assert array([True]).dtype is dtype(bool)
assert array([True, False]).dtype is dtype(bool)
assert array([True, 1]).dtype is dtype(int)
assert array([1, 2, 3]).dtype is dtype(int)
assert array([1L, 2, 3]).dtype is dtype(long)
assert array([1.2, True]).dtype is dtype(float)
assert array([1.2, 5]).dtype is dtype(float)
assert array([]).dtype is dtype(float)
assert array([float64(2)]).dtype is dtype(float)
assert array([int8(3)]).dtype is dtype("int8")
assert array([bool_(True)]).dtype is dtype(bool)
assert array([bool_(True), 3.0]).dtype is dtype(float)
def test_dtype_guessing(self):
from _numpypy import array, dtype, float64, int8, bool_
assert array([True]).dtype is dtype(bool)
assert array([True, False]).dtype is dtype(bool)
assert array([True, 1]).dtype is dtype(int)
assert array([1, 2, 3]).dtype is dtype(int)
assert array([1L, 2, 3]).dtype is dtype(long)
assert array([1.2, True]).dtype is dtype(float)
assert array([1.2, 5]).dtype is dtype(float)
assert array([]).dtype is dtype(float)
assert array([float64(2)]).dtype is dtype(float)
assert array([int8(3)]).dtype is dtype("int8")
assert array([bool_(True)]).dtype is dtype(bool)
assert array([bool_(True), 3.0]).dtype is dtype(float)
def test_tolist_scalar(self):
from _numpypy import int32, bool_
x = int32(23)
assert x.tolist() == 23
assert type(x.tolist()) is int
y = bool_(True)
assert y.tolist() is True
def test_tolist_scalar(self):
from _numpypy import int32, bool_
x = int32(23)
assert x.tolist() == 23
assert type(x.tolist()) is int
y = bool_(True)
assert y.tolist() is True
>>> np.asarray(a, dtype=np.float64) is a
False
Contrary to `asanyarray`, ndarray subclasses are not passed through:
>>> issubclass(np.matrix, np.ndarray)
True
>>> a = np.matrix([[1, 2]])
>>> np.asarray(a) is a
False
>>> np.asanyarray(a) is a
True
"""
return array(a, dtype, copy=False, order=order)
set_string_function(array_str, 0)
set_string_function(array_repr, 1)
little_endian = (sys.byteorder == 'little')
Inf = inf = infty = Infinity = PINF = float('inf')
NINF = float('-inf')
PZERO = 0.0
NZERO = -0.0
nan = NaN = NAN = float('nan')
False_ = bool_(False)
True_ = bool_(True)
e = math.e
pi = math.pi
True
>>> a = np.matrix([[1, 2]])
>>> np.asarray(a) is a
False
>>> np.asanyarray(a) is a
True
"""
return array(a,
dtype,
copy=False,
order=order,
maskna=maskna,
ownmaskna=ownmaskna)
set_string_function(array_str, 0)
set_string_function(array_repr, 1)
little_endian = (sys.byteorder == 'little')
Inf = inf = infty = Infinity = PINF = float('inf')
NINF = float('-inf')
PZERO = 0.0
NZERO = -0.0
nan = NaN = NAN = float('nan')
False_ = bool_(False)
True_ = bool_(True)
e = math.e
pi = math.pi
