Python numpy.core() Examples

The following are 24 code examples for showing how to use numpy.core(). 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: Carnets   Author: holzschu   File: function_helpers.py    License: BSD 3-Clause "New" or "Revised" License 6 votes vote down vote up
def block(arrays):
    # We need to override block since the numpy implementation can take two
    # different paths, one for concatenation, one for creating a large empty
    # result array in which parts are set.  Each assumes array input and
    # cannot be used directly.  Since it would be very costly to inspect all
    # arrays and then turn them back into a nested list, we just copy here the
    # second implementation, np.core.shape_base._block_slicing, since it is
    # shortest and easiest.
    (arrays, list_ndim, result_ndim,
     final_size) = np.core.shape_base._block_setup(arrays)
    shape, slices, arrays = np.core.shape_base._block_info_recursion(
        arrays, list_ndim, result_ndim)
    # Here, one line of difference!
    arrays, unit = _quantities2arrays(*arrays)
    # Back to _block_slicing
    dtype = np.result_type(*[arr.dtype for arr in arrays])
    F_order = all(arr.flags['F_CONTIGUOUS'] for arr in arrays)
    C_order = all(arr.flags['C_CONTIGUOUS'] for arr in arrays)
    order = 'F' if F_order and not C_order else 'C'
    result = np.empty(shape=shape, dtype=dtype, order=order)
    for the_slice, arr in zip(slices, arrays):
        result[(Ellipsis,) + the_slice] = arr
    return result, unit, None 
Example 2
Project: recruit   Author: Frank-qlu   File: utils.py    License: Apache License 2.0 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 3
Project: lambda-packs   Author: ryfeus   File: utils.py    License: MIT License 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 4
Project: lambda-packs   Author: ryfeus   File: utils.py    License: MIT License 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 5
Project: auto-alt-text-lambda-api   Author: abhisuri97   File: utils.py    License: MIT License 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 6
Project: vnpy_crypto   Author: birforce   File: utils.py    License: MIT License 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 7
Project: Computable   Author: ktraunmueller   File: utils.py    License: MIT License 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 8
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: utils.py    License: MIT License 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 9
Project: GraphicDesignPatternByPython   Author: Relph1119   File: utils.py    License: MIT License 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 10
Project: predictive-maintenance-using-machine-learning   Author: awslabs   File: utils.py    License: Apache License 2.0 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 11
Project: Fluid-Designer   Author: Microvellum   File: utils.py    License: GNU General Public License v3.0 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 12
Project: pySINDy   Author: luckystarufo   File: utils.py    License: MIT License 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 13
Project: mxnet-lambda   Author: awslabs   File: utils.py    License: Apache License 2.0 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 14
Project: ImageFusion   Author: pfchai   File: utils.py    License: MIT License 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 15
Project: Splunking-Crime   Author: nccgroup   File: utils.py    License: GNU Affero General Public License v3.0 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 16
Project: elasticintel   Author: securityclippy   File: utils.py    License: GNU General Public License v3.0 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 17
Project: coffeegrindsize   Author: jgagneastro   File: utils.py    License: MIT License 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 18
Project: Carnets   Author: holzschu   File: function_helpers.py    License: BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up
def array_repr(arr, *args, **kwargs):
    # TODO: The addition of "unit='...'" doesn't worry about line
    # length.  Could copy & adapt _array_repr_implementation from
    # numpy.core.arrayprint.py
    cls_name = arr.__class__.__name__
    fake_name = '_' * len(cls_name)
    fake_cls = type(fake_name, (np.ndarray,), {})
    no_unit = np.array_repr(arr.view(fake_cls),
                            *args, **kwargs).replace(fake_name, cls_name)
    unit_part = f"unit='{arr.unit}'"
    pre, dtype, post = no_unit.rpartition('dtype')
    if dtype:
        return f"{pre}{unit_part}, {dtype}{post}", None, None
    else:
        return f"{no_unit[:-1]}, {unit_part})", None, None 
Example 19
Project: Carnets   Author: holzschu   File: function_helpers.py    License: BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up
def array_str(arr, *args, **kwargs):
    # TODO: The addition of the unit doesn't worry about line length.
    # Could copy & adapt _array_repr_implementation from
    # numpy.core.arrayprint.py
    no_unit = np.array_str(arr.value, *args, **kwargs)
    return no_unit + arr._unitstr, None, None 
Example 20
Project: Carnets   Author: holzschu   File: function_helpers.py    License: BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up
def array2string(a, *args, **kwargs):
    # array2string breaks on quantities as it tries to turn individual
    # items into float, which works only for dimensionless.  Since the
    # defaults would not keep any unit anyway, this is rather pointless -
    # we're better off just passing on the array view.  However, one can
    # also work around this by passing on a formatter (as is done in Angle).
    # So, we do nothing if the formatter argument is present and has the
    # relevant formatter for our dtype.
    formatter = args[6] if len(args) >= 7 else kwargs.get('formatter', None)

    if formatter is None:
        a = a.value
    else:
        # See whether it covers our dtype.
        from numpy.core.arrayprint import _get_format_function

        with np.printoptions(formatter=formatter) as options:
            try:
                ff = _get_format_function(a.value, **options)
            except Exception:
                # Shouldn't happen, but possibly we're just not being smart
                # enough, so let's pass things on as is.
                pass
            else:
                # If the selected format function is that of numpy, we know
                # things will fail
                if 'numpy' in ff.__module__:
                    a = a.value

    return (a,) + args, kwargs, None, None 
Example 21
Project: Carnets   Author: holzschu   File: utils.py    License: BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 22
Project: Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda   Author: PacktPublishing   File: utils.py    License: MIT License 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 23
Project: twitter-stock-recommendation   Author: alvarobartt   File: utils.py    License: MIT License 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d 
Example 24
Project: keras-lambda   Author: sunilmallya   File: utils.py    License: MIT License 5 votes vote down vote up
def get_include():
    """
    Return the directory that contains the NumPy \\*.h header files.

    Extension modules that need to compile against NumPy should use this
    function to locate the appropriate include directory.

    Notes
    -----
    When using ``distutils``, for example in ``setup.py``.
    ::

        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

    """
    import numpy
    if numpy.show_config is None:
        # running from numpy source directory
        d = os.path.join(os.path.dirname(numpy.__file__), 'core', 'include')
    else:
        # using installed numpy core headers
        import numpy.core as core
        d = os.path.join(os.path.dirname(core.__file__), 'include')
    return d