Python numpy.issctype() Examples

The following are 7 code examples for showing how to use numpy.issctype(). These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.

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Example 1
Project: recruit   Author: Frank-qlu   File: test_numerictypes.py    License: Apache License 2.0 5 votes vote down vote up 
def test_issctype(rep, expected):
    # ensure proper identification of scalar
    # data-types by issctype()
    actual = np.issctype(rep)
    assert_equal(actual, expected)
Example 2
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_numerictypes.py    License: MIT License 5 votes vote down vote up 
def test_issctype(rep, expected):
    # ensure proper identification of scalar
    # data-types by issctype()
    actual = np.issctype(rep)
    assert_equal(actual, expected)
Example 3
Project: predictive-maintenance-using-machine-learning   Author: awslabs   File: test_numerictypes.py    License: Apache License 2.0 5 votes vote down vote up 
def test_issctype(rep, expected):
    # ensure proper identification of scalar
    # data-types by issctype()
    actual = np.issctype(rep)
    assert_equal(actual, expected)
Example 4
Project: coremltools   Author: apple   File: symbolic.py    License: BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def num_symbolic(val):
    """
    Return the number of symbols in val
    """
    if is_symbolic(val):
        return 1
    elif isinstance(val, np.ndarray) and np.issctype(val.dtype):
        return 0
    elif hasattr(val, "__iter__"):
        return sum(any_symbolic(i) for i in val)
    return 0
Example 5
Project: coremltools   Author: apple   File: symbolic.py    License: BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def any_symbolic(val):
    if is_symbolic(val):
        return True
    if isinstance(val, np.ndarray) and val.ndim == 0:
        return is_symbolic(val[()])
    elif isinstance(val, np.ndarray) and np.issctype(val.dtype):
        return False
    elif isinstance(val, six.string_types):  # string is iterable
        return False
    elif hasattr(val, "__iter__"):
        return any(any_symbolic(i) for i in val)
    return False
Example 6
Project: coremltools   Author: apple   File: symbolic.py    License: BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def any_variadic(val):
    if is_variadic(val):
        return True
    elif isinstance(val, np.ndarray) and np.issctype(val.dtype):
        return False
    elif isinstance(val, six.string_types):  # string is iterable
        return False
    elif hasattr(val, "__iter__"):
        return any(any_variadic(i) for i in val)
    return False
Example 7
Project: coffeegrindsize   Author: jgagneastro   File: test_numerictypes.py    License: MIT License 5 votes vote down vote up 
def test_issctype(rep, expected):
    # ensure proper identification of scalar
    # data-types by issctype()
    actual = np.issctype(rep)
    assert_equal(actual, expected)