Python numpy.sctype2char() Examples

The following are 22 code examples for showing how to use numpy.sctype2char(). 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

def test_scalar_type(self):
        assert_equal(np.sctype2char(np.double), 'd')
        assert_equal(np.sctype2char(np.int_), 'l')
        assert_equal(np.sctype2char(np.unicode_), 'U')
        assert_equal(np.sctype2char(np.bytes_), 'S')

Example 2

Project: recruit Author: Frank-qlu File: test_numerictypes.py License: Apache License 2.0

5 votes

def test_other_type(self):
        assert_equal(np.sctype2char(float), 'd')
        assert_equal(np.sctype2char(list), 'O')
        assert_equal(np.sctype2char(np.ndarray), 'O')

Example 3

Project: recruit Author: Frank-qlu File: test_numerictypes.py License: Apache License 2.0

5 votes

def test_third_party_scalar_type(self):
        from numpy.core._rational_tests import rational
        assert_raises(KeyError, np.sctype2char, rational)
        assert_raises(KeyError, np.sctype2char, rational(1))

Example 4

Project: recruit Author: Frank-qlu File: test_numerictypes.py License: Apache License 2.0

5 votes

def test_array_instance(self):
        assert_equal(np.sctype2char(np.array([1.0, 2.0])), 'd')

Example 5

Project: recruit Author: Frank-qlu File: test_numerictypes.py License: Apache License 2.0

5 votes

def test_abstract_type(self):
        assert_raises(KeyError, np.sctype2char, np.floating)

Example 6

Project: D-VAE Author: muhanzhang File: elemwise.py License: MIT License

5 votes

def prepare_node(self, node, storage_map, compute_map):
        # Postpone the ufunc building to the last minutes
        # NumPy ufunc support only up to 31 inputs.
        # But our c code support more.
        if (len(node.inputs) < 32 and
                (self.nfunc is None or
                 self.scalar_op.nin != len(node.inputs)) and
                self.ufunc is None):

            ufunc = numpy.frompyfunc(self.scalar_op.impl,
                                     len(node.inputs),
                                     self.scalar_op.nout)
            if self.scalar_op.nin > 0:
                # We can reuse it for many nodes
                self.ufunc = ufunc
            else:
                node.tag.ufunc = ufunc

        # Numpy ufuncs will sometimes perform operations in
        # float16, in particular when the input is int8.
        # This is not something that we want, and we do not
        # do it in the C code, so we specify that the computation
        # should be carried out in the returned dtype.
        # This is done via the "sig" kwarg of the ufunc, its value
        # should be something like "ff->f", where the characters
        # represent the dtype of the inputs and outputs.

        # NumPy 1.10.1 raise an error when giving the signature
        # when the input is complex. So add it only when inputs is int.
        out_dtype = node.outputs[0].dtype
        if (out_dtype in float_dtypes and
                isinstance(self.nfunc, numpy.ufunc) and
                node.inputs[0].dtype in discrete_dtypes):
            char = numpy.sctype2char(out_dtype)
            sig = char * node.nin + '->' + char * node.nout
            node.tag.sig = sig

Example 7

Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_numerictypes.py License: MIT License

5 votes

def test_scalar_type(self):
        assert_equal(np.sctype2char(np.double), 'd')
        assert_equal(np.sctype2char(np.int_), 'l')
        assert_equal(np.sctype2char(np.unicode_), 'U')
        assert_equal(np.sctype2char(np.bytes_), 'S')

Example 8

Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_numerictypes.py License: MIT License

5 votes

def test_other_type(self):
        assert_equal(np.sctype2char(float), 'd')
        assert_equal(np.sctype2char(list), 'O')
        assert_equal(np.sctype2char(np.ndarray), 'O')

Example 9

Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_numerictypes.py License: MIT License

5 votes

def test_third_party_scalar_type(self):
        from numpy.core._rational_tests import rational
        assert_raises(KeyError, np.sctype2char, rational)
        assert_raises(KeyError, np.sctype2char, rational(1))

Example 10

Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_numerictypes.py License: MIT License

5 votes

def test_array_instance(self):
        assert_equal(np.sctype2char(np.array([1.0, 2.0])), 'd')

Example 11

Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_numerictypes.py License: MIT License

5 votes

def test_abstract_type(self):
        assert_raises(KeyError, np.sctype2char, np.floating)

Example 12

Project: attention-lvcsr Author: rizar File: elemwise.py License: MIT License

5 votes

def prepare_node(self, node, storage_map, compute_map):
        # Postpone the ufunc building to the last minutes
        # NumPy ufunc support only up to 31 inputs.
        # But our c code support more.
        if (len(node.inputs) < 32 and
                (self.nfunc is None or
                 self.scalar_op.nin != len(node.inputs)) and
                self.ufunc is None):

            ufunc = numpy.frompyfunc(self.scalar_op.impl,
                                     len(node.inputs),
                                     self.scalar_op.nout)
            if self.scalar_op.nin > 0:
                # We can reuse it for many nodes
                self.ufunc = ufunc
            else:
                node.tag.ufunc = ufunc

        # Numpy ufuncs will sometimes perform operations in
        # float16, in particular when the input is int8.
        # This is not something that we want, and we do not
        # do it in the C code, so we specify that the computation
        # should be carried out in the returned dtype.
        # This is done via the "sig" kwarg of the ufunc, its value
        # should be something like "ff->f", where the characters
        # represent the dtype of the inputs and outputs.

        # NumPy 1.10.1 raise an error when giving the signature
        # when the input is complex. So add it only when inputs is int.
        out_dtype = node.outputs[0].dtype
        if (out_dtype in float_dtypes and
                isinstance(self.nfunc, numpy.ufunc) and
                node.inputs[0].dtype in discrete_dtypes):
            char = numpy.sctype2char(out_dtype)
            sig = char * node.nin + '->' + char * node.nout
            node.tag.sig = sig

Example 13

Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_numerictypes.py License: Apache License 2.0

5 votes

def test_scalar_type(self):
        assert_equal(np.sctype2char(np.double), 'd')
        assert_equal(np.sctype2char(np.int_), 'l')
        assert_equal(np.sctype2char(np.unicode_), 'U')
        assert_equal(np.sctype2char(np.bytes_), 'S')

Example 14

Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_numerictypes.py License: Apache License 2.0

5 votes

def test_other_type(self):
        assert_equal(np.sctype2char(float), 'd')
        assert_equal(np.sctype2char(list), 'O')
        assert_equal(np.sctype2char(np.ndarray), 'O')

Example 15

Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_numerictypes.py License: Apache License 2.0

5 votes

def test_third_party_scalar_type(self):
        from numpy.core._rational_tests import rational
        assert_raises(KeyError, np.sctype2char, rational)
        assert_raises(KeyError, np.sctype2char, rational(1))

Example 16

Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_numerictypes.py License: Apache License 2.0

5 votes

def test_array_instance(self):
        assert_equal(np.sctype2char(np.array([1.0, 2.0])), 'd')

Example 17

Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_numerictypes.py License: Apache License 2.0

5 votes

def test_abstract_type(self):
        assert_raises(KeyError, np.sctype2char, np.floating)

Example 18

Project: coffeegrindsize Author: jgagneastro File: test_numerictypes.py License: MIT License

5 votes

def test_scalar_type(self):
        assert_equal(np.sctype2char(np.double), 'd')
        assert_equal(np.sctype2char(np.int_), 'l')
        assert_equal(np.sctype2char(np.unicode_), 'U')
        assert_equal(np.sctype2char(np.bytes_), 'S')

Example 19

Project: coffeegrindsize Author: jgagneastro File: test_numerictypes.py License: MIT License

5 votes

def test_other_type(self):
        assert_equal(np.sctype2char(float), 'd')
        assert_equal(np.sctype2char(list), 'O')
        assert_equal(np.sctype2char(np.ndarray), 'O')

Example 20

Project: coffeegrindsize Author: jgagneastro File: test_numerictypes.py License: MIT License

5 votes

def test_third_party_scalar_type(self):
        from numpy.core._rational_tests import rational
        assert_raises(KeyError, np.sctype2char, rational)
        assert_raises(KeyError, np.sctype2char, rational(1))

Example 21

Project: coffeegrindsize Author: jgagneastro File: test_numerictypes.py License: MIT License

5 votes

def test_array_instance(self):
        assert_equal(np.sctype2char(np.array([1.0, 2.0])), 'd')

Example 22

Project: coffeegrindsize Author: jgagneastro File: test_numerictypes.py License: MIT License

5 votes

def test_abstract_type(self):
        assert_raises(KeyError, np.sctype2char, np.floating)