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# mode: run
# tag: numpy
cimport cython
import numpy as np
cimport numpy as cnp
cnp.import_array()
@cython.test_assert_path_exists(
"//ReturnStatNode",
"//ReturnStatNode//IndexNode",
"//ReturnStatNode//IndexNode//SimpleCallNode",
)
@cython.test_fail_if_path_exists(
"//ReturnStatNode//AttributeNode",
)
def access_shape():
"""
>>> print(access_shape())
10
"""
cdef cnp.ndarray[double, ndim=2, mode='c'] array_in = \
1e10 * np.ones((10, 10))
return array_in.shape[0]
@cython.test_assert_path_exists(
"//ReturnStatNode",
"//ReturnStatNode//SimpleCallNode",
)
@cython.test_fail_if_path_exists(
"//ReturnStatNode//AttributeNode",
)
def access_size():
"""
>>> print(access_size())
100
"""
cdef cnp.ndarray[double, ndim=2, mode='c'] array_in = \
1e10 * np.ones((10, 10))
return array_in.size
@cython.test_assert_path_exists(
"//ReturnStatNode",
"//ReturnStatNode//IndexNode",
"//ReturnStatNode//IndexNode//SimpleCallNode",
)
@cython.test_fail_if_path_exists(
"//ReturnStatNode//AttributeNode",
)
def access_strides():
"""
>>> x, y = access_strides()
>>> print(x)
80
>>> print(y)
8
"""
cdef cnp.ndarray[double, ndim=2, mode='c'] array_in = \
1e10 * np.ones((10, 10), dtype=np.float64)
return (array_in.strides[0], array_in.strides[1])
@cython.test_assert_path_exists(
"//ReturnStatNode",
"//ReturnStatNode//PrimaryCmpNode",
"//ReturnStatNode//PrimaryCmpNode//SimpleCallNode",
)
@cython.test_fail_if_path_exists(
"//ReturnStatNode//AttributeNode",
)
def access_data():
"""
>>> access_data()
True
"""
cdef cnp.ndarray[double, ndim=2, mode='c'] array_in = \
1e10 * np.ones((10, 10), dtype=np.float64)
return array_in.data is not NULL
|
