Python numpy.shares_memory() 使用实例

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Example 1

def test_shares_memory_api():
    x = np.zeros([4, 5, 6], dtype=np.int8)

    assert_equal(np.shares_memory(x, x), True)
    assert_equal(np.shares_memory(x, x.copy()), False)

    a = x[:,::2,::3]
    b = x[:,::3,::2]
    assert_equal(np.shares_memory(a, b), True)
    assert_equal(np.shares_memory(a, b, max_work=None), True)
    assert_raises(np.TooHardError, np.shares_memory, a, b, max_work=1)
    assert_raises(np.TooHardError, np.shares_memory, a, b, max_work=long(1)) 

Example 2

def test_non_ndarray_inputs():
    # Regression check for gh-5604

    class MyArray(object):
        def __init__(self, data):
            self.data = data

        @property
        def __array_interface__(self):
            return self.data.__array_interface__

    class MyArray2(object):
        def __init__(self, data):
            self.data = data

        def __array__(self):
            return self.data

    for cls in [MyArray, MyArray2]:
        x = np.arange(5)

        assert_(np.may_share_memory(cls(x[::2]), x[1::2]))
        assert_(not np.shares_memory(cls(x[::2]), x[1::2]))

        assert_(np.shares_memory(cls(x[1::3]), x[::2]))
        assert_(np.may_share_memory(cls(x[1::3]), x[::2])) 

Example 3

def test_shares_memory_api():
    x = np.zeros([4, 5, 6], dtype=np.int8)

    assert_equal(np.shares_memory(x, x), True)
    assert_equal(np.shares_memory(x, x.copy()), False)

    a = x[:,::2,::3]
    b = x[:,::3,::2]
    assert_equal(np.shares_memory(a, b), True)
    assert_equal(np.shares_memory(a, b, max_work=None), True)
    assert_raises(np.TooHardError, np.shares_memory, a, b, max_work=1)
    assert_raises(np.TooHardError, np.shares_memory, a, b, max_work=long(1)) 

Example 4

def test_non_ndarray_inputs():
    # Regression check for gh-5604

    class MyArray(object):
        def __init__(self, data):
            self.data = data

        @property
        def __array_interface__(self):
            return self.data.__array_interface__

    class MyArray2(object):
        def __init__(self, data):
            self.data = data

        def __array__(self):
            return self.data

    for cls in [MyArray, MyArray2]:
        x = np.arange(5)

        assert_(np.may_share_memory(cls(x[::2]), x[1::2]))
        assert_(not np.shares_memory(cls(x[::2]), x[1::2]))

        assert_(np.shares_memory(cls(x[1::3]), x[::2]))
        assert_(np.may_share_memory(cls(x[1::3]), x[::2])) 

Example 5

def test_shares_memory_api():
    x = np.zeros([4, 5, 6], dtype=np.int8)

    assert_equal(np.shares_memory(x, x), True)
    assert_equal(np.shares_memory(x, x.copy()), False)

    a = x[:,::2,::3]
    b = x[:,::3,::2]
    assert_equal(np.shares_memory(a, b), True)
    assert_equal(np.shares_memory(a, b, max_work=None), True)
    assert_raises(np.TooHardError, np.shares_memory, a, b, max_work=1)
    assert_raises(np.TooHardError, np.shares_memory, a, b, max_work=long(1)) 

Example 6

def test_non_ndarray_inputs():
    # Regression check for gh-5604

    class MyArray(object):
        def __init__(self, data):
            self.data = data

        @property
        def __array_interface__(self):
            return self.data.__array_interface__

    class MyArray2(object):
        def __init__(self, data):
            self.data = data

        def __array__(self):
            return self.data

    for cls in [MyArray, MyArray2]:
        x = np.arange(5)

        assert_(np.may_share_memory(cls(x[::2]), x[1::2]))
        assert_(not np.shares_memory(cls(x[::2]), x[1::2]))

        assert_(np.shares_memory(cls(x[1::3]), x[::2]))
        assert_(np.may_share_memory(cls(x[1::3]), x[::2])) 

Example 7

def test_shares_memory_api():
    x = np.zeros([4, 5, 6], dtype=np.int8)

    assert_equal(np.shares_memory(x, x), True)
    assert_equal(np.shares_memory(x, x.copy()), False)

    a = x[:,::2,::3]
    b = x[:,::3,::2]
    assert_equal(np.shares_memory(a, b), True)
    assert_equal(np.shares_memory(a, b, max_work=None), True)
    assert_raises(np.TooHardError, np.shares_memory, a, b, max_work=1)
    assert_raises(np.TooHardError, np.shares_memory, a, b, max_work=long(1)) 

Example 8

def test_may_share_memory_bad_max_work():
    x = np.zeros([1])
    assert_raises(OverflowError, np.may_share_memory, x, x, max_work=10**100)
    assert_raises(OverflowError, np.shares_memory, x, x, max_work=10**100) 

Example 9

def test_non_ndarray_inputs():
    # Regression check for gh-5604

    class MyArray(object):
        def __init__(self, data):
            self.data = data

        @property
        def __array_interface__(self):
            return self.data.__array_interface__

    class MyArray2(object):
        def __init__(self, data):
            self.data = data

        def __array__(self):
            return self.data

    for cls in [MyArray, MyArray2]:
        x = np.arange(5)

        assert_(np.may_share_memory(cls(x[::2]), x[1::2]))
        assert_(not np.shares_memory(cls(x[::2]), x[1::2]))

        assert_(np.shares_memory(cls(x[1::3]), x[::2]))
        assert_(np.may_share_memory(cls(x[1::3]), x[::2])) 

Example 10

def test_shares_memory_api():
    x = np.zeros([4, 5, 6], dtype=np.int8)

    assert_equal(np.shares_memory(x, x), True)
    assert_equal(np.shares_memory(x, x.copy()), False)

    a = x[:,::2,::3]
    b = x[:,::3,::2]
    assert_equal(np.shares_memory(a, b), True)
    assert_equal(np.shares_memory(a, b, max_work=None), True)
    assert_raises(np.TooHardError, np.shares_memory, a, b, max_work=1)
    assert_raises(np.TooHardError, np.shares_memory, a, b, max_work=long(1)) 

Example 11

def test_non_ndarray_inputs():
    # Regression check for gh-5604

    class MyArray(object):
        def __init__(self, data):
            self.data = data

        @property
        def __array_interface__(self):
            return self.data.__array_interface__

    class MyArray2(object):
        def __init__(self, data):
            self.data = data

        def __array__(self):
            return self.data

    for cls in [MyArray, MyArray2]:
        x = np.arange(5)

        assert_(np.may_share_memory(cls(x[::2]), x[1::2]))
        assert_(not np.shares_memory(cls(x[::2]), x[1::2]))

        assert_(np.shares_memory(cls(x[1::3]), x[::2]))
        assert_(np.may_share_memory(cls(x[1::3]), x[::2])) 
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