Python numpy.typeDict() Examples
The following are 30
code examples of numpy.typeDict().
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Example #1
Source File: _ni_support.py From lambda-packs with 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
Source File: _ni_support.py From Splunking-Crime with 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 #3
Source File: _ni_support.py From MouseTracks with 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 #4
Source File: _ni_support.py From Computable with 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 #5
Source File: packers.py From elasticintel with GNU General Public License v3.0 | 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 #6
Source File: test_scalarmath.py From mxnet-lambda with 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
Source File: test_scalarmath.py From mxnet-lambda with 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
Source File: chunks.py From hangar-py with Apache License 2.0 | 5 votes |
def _deserialize_arr(raw: bytes) -> np.ndarray: dtnum, ndim = struct.unpack('<bb', raw[0:2]) end = 2 + (4 * ndim) arrshape = struct.unpack(f'<{ndim}i', raw[2:end]) arr = np.frombuffer(raw, dtype=np.typeDict[dtnum], offset=end).reshape(arrshape) return arr
Example #9
Source File: test_scalarmath.py From ImageFusion with 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 #10
Source File: test_scalarmath.py From ImageFusion with MIT License | 5 votes |
def test_int_raise_behaviour(self): def Overflow_error_func(dtype): res = np.typeDict[dtype](np.iinfo(dtype).max + 1) for code in 'lLqQ': assert_raises(OverflowError, Overflow_error_func, code)
Example #11
Source File: packers.py From Splunking-Crime with GNU Affero General Public License v3.0 | 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 #12
Source File: packers.py From Splunking-Crime with GNU Affero General Public License v3.0 | 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 #13
Source File: test_scalarmath.py From elasticintel with GNU General Public License v3.0 | 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 #14
Source File: test_scalarmath.py From elasticintel with GNU General Public License v3.0 | 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 #15
Source File: packers.py From elasticintel with GNU General Public License v3.0 | 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 #16
Source File: test_scalarmath.py From pySINDy with 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 #17
Source File: test_scalarmath.py From coffeegrindsize with 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 #18
Source File: test_scalarmath.py From coffeegrindsize with 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 #19
Source File: tf_py_eval.py From NNEF-Tools with Apache License 2.0 | 5 votes |
def evaluate_cast(op, const_value_by_tensor): # type: (TFOperation, typing.Dict[TFTensor, np.ndarray])->None if op.input in const_value_by_tensor: const_value_by_tensor[op.output] = const_value_by_tensor[op.input].astype(np.typeDict[op.attribs["dtype"]])
Example #20
Source File: record.py From pycbc with GNU General Public License v3.0 | 5 votes |
def lstring_as_obj(true_or_false=None): """Toggles whether lstrings should be treated as strings or as objects. When FieldArrays is first loaded, the default is True. Parameters ---------- true_or_false : {None|bool} Pass True to map lstrings to objects; False otherwise. If None provided, just returns the current state. Return ------ current_stat : bool The current state of lstring_as_obj. Examples -------- >>> from pycbc.io import FieldArray >>> FieldArray.lstring_as_obj() True >>> FieldArray.FieldArray.from_arrays([numpy.zeros(10)], dtype=[('foo', 'lstring')]) FieldArray([(0.0,), (0.0,), (0.0,), (0.0,), (0.0,), (0.0,), (0.0,), (0.0,), (0.0,), (0.0,)], dtype=[('foo', 'O')]) >>> FieldArray.lstring_as_obj(False) False >>> FieldArray.FieldArray.from_arrays([numpy.zeros(10)], dtype=[('foo', 'lstring')]) FieldArray([('0.0',), ('0.0',), ('0.0',), ('0.0',), ('0.0',), ('0.0',), ('0.0',), ('0.0',), ('0.0',), ('0.0',)], dtype=[('foo', 'S50')]) """ if true_or_false is not None: _default_types_status['lstring_as_obj'] = true_or_false # update the typeDict numpy.typeDict[u'lstring'] = numpy.object_ \ if _default_types_status['lstring_as_obj'] \ else 'S%i' % _default_types_status['default_strlen'] return _default_types_status['lstring_as_obj']
Example #21
Source File: record.py From pycbc with GNU General Public License v3.0 | 5 votes |
def ilwd_as_int(true_or_false=None): """Similar to lstring_as_obj, sets whether or not ilwd:chars should be treated as strings or as ints. Default is True. """ if true_or_false is not None: _default_types_status['ilwd_as_int'] = true_or_false numpy.typeDict[u'ilwd:char'] = int \ if _default_types_status['ilwd_as_int'] \ else 'S%i' % default_strlen return _default_types_status['ilwd_as_int']
Example #22
Source File: test_scalarmath.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with 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 #23
Source File: test_scalarmath.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with 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 #24
Source File: test_scalarmath.py From twitter-stock-recommendation with 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 #25
Source File: test_scalarmath.py From twitter-stock-recommendation with 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 #26
Source File: test_scalarmath.py From keras-lambda with 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 #27
Source File: test_scalarmath.py From keras-lambda with 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 #28
Source File: packers.py From Computable with 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 #29
Source File: test_scalarmath.py From recruit with 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 #30
Source File: test_scalarmath.py From recruit with 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)