Python numpy.typeDict() Examples
The following are 30 code examples for showing how to use numpy.typeDict(). 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: lambda-packs Author: ryfeus File: _ni_support.py License: MIT License | 6 votes |
def _get_output(output, input, shape=None): if shape is None: shape = input.shape if output is None: output = numpy.zeros(shape, dtype=input.dtype.name) return_value = output elif type(output) in [type(type), type(numpy.zeros((4,)).dtype)]: output = numpy.zeros(shape, dtype=output) return_value = output elif type(output) in string_types: output = numpy.typeDict[output] output = numpy.zeros(shape, dtype=output) return_value = output else: if output.shape != shape: raise RuntimeError("output shape not correct") return_value = None return output, return_value
Example 2
Project: Computable Author: ktraunmueller File: _ni_support.py License: MIT License | 6 votes |
def _get_output(output, input, shape=None): if shape is None: shape = input.shape if output is None: output = numpy.zeros(shape, dtype=input.dtype.name) return_value = output elif type(output) in [type(type), type(numpy.zeros((4,)).dtype)]: output = numpy.zeros(shape, dtype=output) return_value = output elif type(output) in string_types: output = numpy.typeDict[output] output = numpy.zeros(shape, dtype=output) return_value = output else: if output.shape != shape: raise RuntimeError("output shape not correct") return_value = None return output, return_value
Example 3
Project: Splunking-Crime Author: nccgroup File: _ni_support.py License: GNU Affero General Public License v3.0 | 6 votes |
def _get_output(output, input, shape=None): if shape is None: shape = input.shape if output is None: output = numpy.zeros(shape, dtype=input.dtype.name) return_value = output elif type(output) in [type(type), type(numpy.zeros((4,)).dtype)]: output = numpy.zeros(shape, dtype=output) return_value = output elif type(output) in string_types: output = numpy.typeDict[output] output = numpy.zeros(shape, dtype=output) return_value = output else: if output.shape != shape: raise RuntimeError("output shape not correct") return_value = None return output, return_value
Example 4
Project: MouseTracks Author: Peter92 File: _ni_support.py License: GNU General Public License v3.0 | 6 votes |
def _get_output(output, input, shape=None): if shape is None: shape = input.shape if output is None: output = numpy.zeros(shape, dtype=input.dtype.name) return_value = output elif type(output) in [type(type), type(numpy.zeros((4,)).dtype)]: output = numpy.zeros(shape, dtype=output) return_value = output elif type(output) == STRING_TYPE: output = numpy.typeDict[output] output = numpy.zeros(shape, dtype=output) return_value = output else: if output.shape != shape: raise RuntimeError("output shape not correct") return_value = None return output, return_value
Example 5
Project: me-ica Author: ME-ICA File: parrec.py License: GNU Lesser General Public License v2.1 | 5 votes |
def __init__(self, info, image_defs): """ Parameters ---------- info : dict "General information" from the PAR file (as returned by `parse_PAR_header()`). image_defs : array Structured array with image definitions from the PAR file (as returned by `parse_PAR_header()`). """ self.general_info = info self.image_defs = image_defs self._slice_orientation = None # charge with basic properties to be able to use base class # functionality # dtype dtype = np.typeDict[ 'int' + str(self._get_unique_image_prop('image pixel size')[0])] Header.__init__(self, data_dtype=dtype, shape=self.get_data_shape_in_file(), zooms=self._get_zooms() )
Example 6
Project: recruit Author: Frank-qlu File: test_scalarmath.py License: Apache License 2.0 | 5 votes |
def test_iinfo_long_values(self): for code in 'bBhH': res = np.array(np.iinfo(code).max + 1, dtype=code) tgt = np.iinfo(code).min assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.array(np.iinfo(code).max, dtype=code) tgt = np.iinfo(code).max assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.typeDict[code](np.iinfo(code).max) tgt = np.iinfo(code).max assert_(res == tgt)
Example 7
Project: recruit Author: Frank-qlu File: test_scalarmath.py License: Apache License 2.0 | 5 votes |
def test_int_raise_behaviour(self): def overflow_error_func(dtype): np.typeDict[dtype](np.iinfo(dtype).max + 1) for code in 'lLqQ': assert_raises(OverflowError, overflow_error_func, code)
Example 8
Project: recruit Author: Frank-qlu File: packers.py License: Apache License 2.0 | 5 votes |
def dtype_for(t): """ return my dtype mapping, whether number or name """ if t in dtype_dict: return dtype_dict[t] return np.typeDict.get(t, t)
Example 9
Project: recruit Author: Frank-qlu File: packers.py License: Apache License 2.0 | 5 votes |
def c2f(r, i, ctype_name): """ Convert strings to complex number instance with specified numpy type. """ ftype = c2f_dict[ctype_name] return np.typeDict[ctype_name](ftype(r) + 1j * ftype(i))
Example 10
Project: auto-alt-text-lambda-api Author: abhisuri97 File: test_scalarmath.py License: MIT License | 5 votes |
def test_iinfo_long_values(self): for code in 'bBhH': res = np.array(np.iinfo(code).max + 1, dtype=code) tgt = np.iinfo(code).min assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.array(np.iinfo(code).max, dtype=code) tgt = np.iinfo(code).max assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.typeDict[code](np.iinfo(code).max) tgt = np.iinfo(code).max assert_(res == tgt)
Example 11
Project: auto-alt-text-lambda-api Author: abhisuri97 File: test_scalarmath.py License: MIT License | 5 votes |
def test_int_raise_behaviour(self): def overflow_error_func(dtype): np.typeDict[dtype](np.iinfo(dtype).max + 1) for code in 'lLqQ': assert_raises(OverflowError, overflow_error_func, code)
Example 12
Project: vnpy_crypto Author: birforce File: test_scalarmath.py License: MIT License | 5 votes |
def test_iinfo_long_values(self): for code in 'bBhH': res = np.array(np.iinfo(code).max + 1, dtype=code) tgt = np.iinfo(code).min assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.array(np.iinfo(code).max, dtype=code) tgt = np.iinfo(code).max assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.typeDict[code](np.iinfo(code).max) tgt = np.iinfo(code).max assert_(res == tgt)
Example 13
Project: vnpy_crypto Author: birforce File: test_scalarmath.py License: MIT License | 5 votes |
def test_int_raise_behaviour(self): def overflow_error_func(dtype): np.typeDict[dtype](np.iinfo(dtype).max + 1) for code in 'lLqQ': assert_raises(OverflowError, overflow_error_func, code)
Example 14
Project: vnpy_crypto Author: birforce File: packers.py License: MIT License | 5 votes |
def dtype_for(t): """ return my dtype mapping, whether number or name """ if t in dtype_dict: return dtype_dict[t] return np.typeDict.get(t, t)
Example 15
Project: vnpy_crypto Author: birforce File: packers.py License: MIT License | 5 votes |
def c2f(r, i, ctype_name): """ Convert strings to complex number instance with specified numpy type. """ ftype = c2f_dict[ctype_name] return np.typeDict[ctype_name](ftype(r) + 1j * ftype(i))
Example 16
Project: Computable Author: ktraunmueller File: packers.py License: MIT License | 5 votes |
def dtype_for(t): if t in dtype_dict: return dtype_dict[t] return np.typeDict[t]
Example 17
Project: Computable Author: ktraunmueller File: packers.py License: MIT License | 5 votes |
def c2f(r, i, ctype_name): """ Convert strings to complex number instance with specified numpy type. """ ftype = c2f_dict[ctype_name] return np.typeDict[ctype_name](ftype(r) + 1j * ftype(i))
Example 18
Project: Computable Author: ktraunmueller File: test_base.py License: MIT License | 5 votes |
def test_rmul_scalar(self): def check(dtype): dat = self.dat_dtypes[dtype] datsp = self.datsp_dtypes[dtype] assert_array_equal(2*dat,(2*datsp).todense()) assert_array_equal(17.3*dat,(17.3*datsp).todense()) for dtype in self.checked_dtypes: fails = ((dtype == np.typeDict['int']) and (self.__class__ == TestLIL or self.__class__ == TestDOK)) msg = "LIL and DOK type's __rmul__ method has problems with int data." yield dec.knownfailureif(fails, msg)(check), dtype
Example 19
Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_scalarmath.py License: MIT License | 5 votes |
def test_iinfo_long_values(self): for code in 'bBhH': res = np.array(np.iinfo(code).max + 1, dtype=code) tgt = np.iinfo(code).min assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.array(np.iinfo(code).max, dtype=code) tgt = np.iinfo(code).max assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.typeDict[code](np.iinfo(code).max) tgt = np.iinfo(code).max assert_(res == tgt)
Example 20
Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_scalarmath.py License: MIT License | 5 votes |
def test_int_raise_behaviour(self): def overflow_error_func(dtype): np.typeDict[dtype](np.iinfo(dtype).max + 1) for code in 'lLqQ': assert_raises(OverflowError, overflow_error_func, code)
Example 21
Project: GraphicDesignPatternByPython Author: Relph1119 File: test_scalarmath.py License: MIT License | 5 votes |
def test_iinfo_long_values(self): for code in 'bBhH': res = np.array(np.iinfo(code).max + 1, dtype=code) tgt = np.iinfo(code).min assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.array(np.iinfo(code).max, dtype=code) tgt = np.iinfo(code).max assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.typeDict[code](np.iinfo(code).max) tgt = np.iinfo(code).max assert_(res == tgt)
Example 22
Project: GraphicDesignPatternByPython Author: Relph1119 File: test_scalarmath.py License: MIT License | 5 votes |
def test_int_raise_behaviour(self): def overflow_error_func(dtype): np.typeDict[dtype](np.iinfo(dtype).max + 1) for code in 'lLqQ': assert_raises(OverflowError, overflow_error_func, code)
Example 23
Project: GraphicDesignPatternByPython Author: Relph1119 File: _ni_support.py License: MIT License | 5 votes |
def _get_output(output, input, shape=None): if shape is None: shape = input.shape if output is None: output = numpy.zeros(shape, dtype=input.dtype.name) elif type(output) in [type(type), type(numpy.zeros((4,)).dtype)]: output = numpy.zeros(shape, dtype=output) elif type(output) in string_types: output = numpy.typeDict[output] output = numpy.zeros(shape, dtype=output) elif output.shape != shape: raise RuntimeError("output shape not correct") return output
Example 24
Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_scalarmath.py License: Apache License 2.0 | 5 votes |
def test_iinfo_long_values(self): for code in 'bBhH': res = np.array(np.iinfo(code).max + 1, dtype=code) tgt = np.iinfo(code).min assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.array(np.iinfo(code).max, dtype=code) tgt = np.iinfo(code).max assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.typeDict[code](np.iinfo(code).max) tgt = np.iinfo(code).max assert_(res == tgt)
Example 25
Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_scalarmath.py License: Apache License 2.0 | 5 votes |
def test_int_raise_behaviour(self): def overflow_error_func(dtype): np.typeDict[dtype](np.iinfo(dtype).max + 1) for code in 'lLqQ': assert_raises(OverflowError, overflow_error_func, code)
Example 26
Project: predictive-maintenance-using-machine-learning Author: awslabs File: packers.py License: Apache License 2.0 | 5 votes |
def dtype_for(t): """ return my dtype mapping, whether number or name """ if t in dtype_dict: return dtype_dict[t] return np.typeDict.get(t, t)
Example 27
Project: predictive-maintenance-using-machine-learning Author: awslabs File: packers.py License: Apache License 2.0 | 5 votes |
def c2f(r, i, ctype_name): """ Convert strings to complex number instance with specified numpy type. """ ftype = c2f_dict[ctype_name] return np.typeDict[ctype_name](ftype(r) + 1j * ftype(i))
Example 28
Project: pySINDy Author: luckystarufo File: test_scalarmath.py License: MIT License | 5 votes |
def test_iinfo_long_values(self): for code in 'bBhH': res = np.array(np.iinfo(code).max + 1, dtype=code) tgt = np.iinfo(code).min assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.array(np.iinfo(code).max, dtype=code) tgt = np.iinfo(code).max assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.typeDict[code](np.iinfo(code).max) tgt = np.iinfo(code).max assert_(res == tgt)
Example 29
Project: pySINDy Author: luckystarufo File: test_scalarmath.py License: MIT License | 5 votes |
def test_int_raise_behaviour(self): def overflow_error_func(dtype): np.typeDict[dtype](np.iinfo(dtype).max + 1) for code in 'lLqQ': assert_raises(OverflowError, overflow_error_func, code)
Example 30
Project: mxnet-lambda Author: awslabs File: test_scalarmath.py License: Apache License 2.0 | 5 votes |
def test_iinfo_long_values(self): for code in 'bBhH': res = np.array(np.iinfo(code).max + 1, dtype=code) tgt = np.iinfo(code).min assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.array(np.iinfo(code).max, dtype=code) tgt = np.iinfo(code).max assert_(res == tgt) for code in np.typecodes['AllInteger']: res = np.typeDict[code](np.iinfo(code).max) tgt = np.iinfo(code).max assert_(res == tgt)