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How to use is_complex method in pandera
Best Python code snippet using pandera_python
mlarray.py
Source:mlarray.py 
1# Copyright 2014-2015 MathWorks, Inc.2"""3Type-specific multidimensional arrays for4use when working with MATLAB.5This module defines type-specific multidimensional arrays to use when6evaluating functions using MATLAB. They are different from Python7sequences in the following ways:8 * They use strong typing. They can only contain values of the9 specified type. Attempting to insert values that cannot be represented10 in the specified type raises an exception.11 * They are multidimensional. The size of an empty array is (0,0).12 All arrays created using these classes are rectangular.13 * They use MATLAB style indexing.14 * They slice using views and not shallow copies.15Classes16-------17 * double - array of Python float seen as MATLAB double18 * single - array of Python float seen as MATLAB single19 * uint8 - array of Python int seen as MATLAB uint820 * int8 - array of Python int seen as MATLAB int821 * uint16 - array of Python int seen as MATLAB uint1622 * int16 - array of Python int seen as MATLAB int1623 * uint32 - array of Python int or long seen as MATLAB uint3224 * int32 - array of Python int seen as MATLAB int3225 * uint64 - array of Python int or long seen as MATLAB uint6426 * int64 - array of Python int or long seen as MATLAB int6427 * logical - array of Python bool seen as MATLAB logical28"""29from _internal.mlarray_sequence import _MLArrayMetaClass30class double(_MLArrayMetaClass):31 def __init__(self, initializer=None, size=None, is_complex=False):32 """33 A new matlab array whose items are initialized from the optional34 "initializer" value which must be a sequence. Initializer will be35 marshaled as an array of doubles,if possible, inside of MATLAB.36 "is_complex" can be set to True if the elements should be marshaled37 in as complex values.38 :param initializer: sequence39 :param size: sequence40 :param is_complex: bool41 """42 try:43 super(double, self).__init__('d', initializer, size, is_complex)44 except Exception as ex:45 raise ex46class single(_MLArrayMetaClass):47 def __init__(self, initializer=None, size=None, is_complex=False):48 """49 A new matlab array whose items are initialized from the optional50 "initializer" value which must be a sequence. Initializer will be51 marshaled as an array of singles,if possible, inside of MATLAB.52 "is_complex" can be set to True if the elements should be marshaled53 in as complex values.54 :param initializer: sequence55 :param size: sequence56 :param is_complex: bool57 """58 try:59 super(single, self).__init__('f', initializer, size, is_complex)60 except Exception as ex:61 raise ex62class uint8(_MLArrayMetaClass):63 def __init__(self, initializer=None, size=None, is_complex=False):64 """65 A new matlab array whose items are initialized from the optional66 "initializer" value which must be a sequence. Initializer will be67 marshaled as an array of uint8,if possible, inside of MATLAB.68 "is_complex" can be set to True if the elements should be marshaled69 in as complex values.70 :param initializer: sequence71 :param size: sequence72 :param is_complex: bool73 """74 try:75 super(uint8, self).__init__('B', initializer, size, is_complex)76 except Exception as ex:77 raise ex78class int8(_MLArrayMetaClass):79 def __init__(self, initializer=None, size=None, is_complex=False):80 """81 A new matlab array whose items are initialized from the optional82 "initializer" value which must be a sequence. Initializer will be83 marshaled as an array of int8,if possible, inside of MATLAB.84 "is_complex" can be set to True if the elements should be marshaled85 in as complex values.86 :param initializer: sequence87 :param size: sequence88 :param is_complex: bool89 """90 try:91 super(int8, self).__init__('b', initializer, size, is_complex)92 except Exception as ex:93 raise ex94class uint16(_MLArrayMetaClass):95 def __init__(self, initializer=None, size=None, is_complex=False):96 """97 A new matlab array whose items are initialized from the optional98 "initializer" value which must be a sequence. Initializer will be99 marshaled as an array of uint16,if possible, inside of MATLAB.100 "is_complex" can be set to True if the elements should be marshaled101 in as complex values.102 :param initializer: sequence103 :param size: sequence104 :param is_complex: bool105 """106 try:107 super(uint16, self).__init__('H', initializer, size, is_complex)108 except Exception as ex:109 raise ex110class int16(_MLArrayMetaClass):111 def __init__(self, initializer=None, size=None, is_complex=False):112 """113 A new matlab array whose items are initialized from the optional114 "initializer" value which must be a sequence. Initializer will be115 marshaled as an array of int16,if possible, inside of MATLAB.116 "is_complex" can be set to True if the elements should be marshaled117 in as complex values.118 :param initializer: sequence119 :param size: sequence120 :param is_complex: bool121 """122 try:123 super(int16, self).__init__('h', initializer, size, is_complex)124 except Exception as ex:125 raise ex126class uint32(_MLArrayMetaClass):127 def __init__(self, initializer=None, size=None, is_complex=False):128 """129 A new matlab array whose items are initialized from the optional130 "initializer" value which must be a sequence. Initializer will be131 marshaled as an array of unit32,if possible, inside of MATLAB.132 "is_complex" can be set to True if the elements should be marshaled133 in as complex values.134 :param initializer: sequence135 :param size: sequence136 :param is_complex: bool137 """138 try:139 super(uint32, self).__init__('I', initializer, size, is_complex)140 except Exception as ex:141 raise ex142class int32(_MLArrayMetaClass):143 def __init__(self, initializer=None, size=None, is_complex=False):144 """145 A new matlab array whose items are initialized from the optional146 "initializer" value which must be a sequence. Initializer will be147 marshaled as an array of int32,if possible, inside of MATLAB.148 "is_complex" can be set to True if the elements should be marshaled149 in as complex values.150 :param initializer: sequence151 :param size: sequence152 :param is_complex: bool153 """154 try:155 super(int32, self).__init__('i', initializer, size, is_complex)156 except Exception as ex:157 raise ex158class uint64(_MLArrayMetaClass):159 def __init__(self, initializer=None, size=None, is_complex=False):160 """161 A new matlab array whose items are initialized from the optional162 "initializer" value which must be a sequence. Initializer will be163 marshaled as an array of uint64,if possible, inside of MATLAB.164 "is_complex" can be set to True if the elements should be marshaled165 in as complex values.166 :param initializer: sequence167 :param size: sequence168 :param is_complex: bool169 """170 try:171 super(uint64, self).__init__('L', initializer, size, is_complex)172 except Exception as ex:173 raise ex174class int64(_MLArrayMetaClass):175 def __init__(self, initializer=None, size=None, is_complex=False):176 """177 A new matlab array whose items are initialized from the optional178 "initializer" value which must be a sequence. Initializer will be179 marshaled as an array of int64,if possible, inside of MATLAB.180 "is_complex" can be set to True if the elements should be marshaled181 in as complex values.182 :param initializer: sequence183 :param size: sequence184 :param is_complex: bool185 """186 try:187 super(int64, self).__init__('l', initializer, size, is_complex)188 except Exception as ex:189 raise ex190class logical(_MLArrayMetaClass):191 def __init__(self, initializer=None, size=None):192 """193 A new matlab array whose items are initialized from the optional194 "initializer" value which must be a sequence. Initializer will be195 marshaled as an array of logicals,if possible, inside of MATLAB.196 :param initializer: sequence197 :param size: sequence198 """199 try:200 super(logical, self).__init__('B', initializer, size)201 except Exception as ex:202 raise ex203 def __getitem__(self, index):204 value = super(logical, self).__getitem__(index)205 if isinstance(value, type(self)):206 return value207 else:...
helper_functions.py
Source:helper_functions.py
1import numpy as np2import pytest3from integration_test_functions import Polynomial, Exponential, Sinusoid4from utils.set_up_backend import set_up_backend5from utils.set_log_level import set_log_level6def get_test_functions(dim, backend):7 """Here we define a bunch of functions that will be used for testing.8 Args:9 dim (int): Dimensionality of test functions to use.10 backend (string): Numerical backend used for the integration11 """12 if dim == 1:13 return [14 # Real numbers15 Polynomial(4.0, [2.0], is_complex=False, backend=backend), # y = 216 Polynomial(0, [0, 1], is_complex=False, backend=backend), # y = x17 Polynomial(18 2 / 3, [0, 0, 2], domain=[[0, 1]], is_complex=False, backend=backend19 ), # y = 2x^220 # y = -3x^3+2x^2-x+321 Polynomial(22 27.75,23 [3, -1, 2, -3],24 domain=[[-2, 1]],25 is_complex=False,26 backend=backend,27 ),28 # y = 7x^4-3x^3+2x^2-x+329 Polynomial(30 44648.0 / 15.0,31 [3, -1, 2, -3, 7],32 domain=[[-4, 4]],33 is_complex=False,34 backend=backend,35 ),36 # # y = -x^5+7x^4-3x^3+2x^2-x+337 Polynomial(38 8939.0 / 60.0,39 [3, -1, 2, -3, 7, -1],40 domain=[[2, 3]],41 is_complex=False,42 backend=backend,43 ),44 Exponential(45 np.exp(1) - np.exp(-2),46 domain=[[-2, 1]],47 is_complex=False,48 backend=backend,49 ),50 Exponential(51 (np.exp(2) - 1.0) / np.exp(3),52 domain=[[-3, -1]],53 is_complex=False,54 backend=backend,55 ),56 Sinusoid(57 2 * np.sin(1) * np.sin(1),58 domain=[[0, 2]],59 is_complex=False,60 backend=backend,61 ),62 #63 # Complex numbers64 Polynomial(4.0j, [2.0j], is_complex=True, backend=backend), # y = 2j65 Polynomial(0, [0, 1j], is_complex=True, backend=backend), # y = xj66 # y=7x^4-3jx^3+2x^2-jx+367 Polynomial(68 44648.0 / 15.0,69 [3, -1j, 2, -3j, 7],70 domain=[[-4, 4]],71 is_complex=True,72 backend=backend,73 ),74 ]75 elif dim == 3:76 return [77 # Real numbers78 Polynomial(79 48.0, [2.0], dim=3, is_complex=False, backend=backend80 ), # f(x,y,z) = 281 Polynomial(82 0, [0, 1], dim=3, is_complex=False, backend=backend83 ), # f(x,y,z) = x + y + z84 # f(x,y,z) = x^2+y^2+z^285 Polynomial(8.0, coeffs=[0, 0, 1], dim=3, is_complex=False, backend=backend),86 # e^x+e^y+e^z87 Exponential(88 27 * (np.exp(3) - 1) / np.exp(2),89 dim=3,90 domain=[[-2, 1], [-2, 1], [-2, 1]],91 is_complex=False,92 backend=backend,93 ),94 Sinusoid(95 24 * np.sin(1) ** 2,96 dim=3,97 domain=[[0, 2], [0, 2], [0, 2]],98 is_complex=False,99 backend=backend,100 ),101 # e^x+e^y+e^z102 Exponential(103 1.756,104 dim=3,105 domain=[[-0.05, 0.1], [-0.25, 0.2], [-np.exp(1), np.exp(1)]],106 is_complex=False,107 backend=backend,108 ),109 #110 # Complex numbers111 Polynomial(112 48.0j, [2.0j], dim=3, is_complex=True, backend=backend113 ), # f(x,y,z) = 2j114 Polynomial(115 0, [0, 1.0j], dim=3, is_complex=True, backend=backend116 ), # f(x,y,z) = xj117 Polynomial(118 8.0j, coeffs=[0, 0, 1.0j], dim=3, is_complex=True, backend=backend119 ), # j*x^2+j*y^2+j*z^2120 ]121 elif dim == 10:122 return [123 # Real numbers124 # f(x_1, ..., x_10) = x_1^2+x_2^2+...125 Polynomial(126 3413.33333333,127 coeffs=[0, 0, 1],128 dim=10,129 is_complex=False,130 backend=backend,131 ),132 # Complex numbers133 # f(x_1, ..., x_10) = j*x_1^2+j*x_2^2+...134 Polynomial(135 3413.33333333j,136 coeffs=[0, 0, 1.0j],137 dim=10,138 is_complex=True,139 backend=backend,140 ),141 ]142 else:143 raise ValueError("Not testing functions implemented for dim " + str(dim))144def compute_integration_test_errors(145 integrator,146 integrator_args,147 dim,148 use_complex,149 backend,150):151 """Computes errors on all test functions for given dimension and integrator.152 Args:153 integrator (torchquad.base_integrator): Integrator to use.154 integrator_args (dict): Arguments for the integrator.155 dim (int): Dimensionality of the example functions to choose.156 use_complex (Boolean): If True, skip complex example functions.157 backend (string): Numerical backend for the example functions.158 Returns:159 (list, list): Absolute errors on all example functions and the chosen160 example functions161 """162 errors = []163 chosen_functions = []164 # Compute integration errors on the chosen functions and remember those165 # functions166 for test_function in get_test_functions(dim, backend):167 if not use_complex and test_function.is_complex:168 continue169 if backend == "torch":170 errors.append(171 np.abs(172 test_function.evaluate(integrator, integrator_args)173 .cpu()174 .detach()175 .numpy()176 - test_function.expected_result177 )178 )179 else:180 errors.append(181 np.abs(182 test_function.evaluate(integrator, integrator_args)183 - test_function.expected_result184 )185 )186 chosen_functions.append(test_function)187 return errors, chosen_functions188def setup_test_for_backend(test_func, backend, dtype_name):189 """190 Create a function to execute a test function with the given numerical backend.191 If the backend is not installed, skip the test.192 Args:193 test_func (function(backend, dtype_name)): The function which runs tests194 backend (string): The numerical backend195 dtype_name ("float32", "float64" or None): Floating point precision. If None, the global precision is not changed.196 Returns:197 function: A test function for Pytest198 """199 def func():200 pytest.importorskip(backend)201 set_log_level("INFO")202 set_up_backend(backend, dtype_name)203 if dtype_name is None:204 return test_func(backend)205 return test_func(backend, dtype_name)...
common.py
Source:common.py
1#2# Some common useful functions3#4import os5import numpy as np6import gdal7def get_basename(filepath):8 """9 Get filename basename without extension10 For example:11 >>> get_basename("/path/to/a/file.123sdufg.sdfs.tiff")12 'file.123sdufg.sdfs'13 """14 bfn = os.path.basename(filepath)15 splt = bfn.split(os.extsep)16 return os.extsep.join(splt[:-1]) if len(splt) > 1 else splt[0]17def get_dtype(depth, is_complex, signed=True):18 """19 Method to convert the pair (depth={1,2,4,8}, is_complex={True,False})20 into numpy dtype21 For example,22 >>> get_type(4, False)23 <type 'numpy.float32'>24 """25 if depth == 1 and not is_complex:26 return np.uint827 elif depth == 2 and not is_complex:28 return np.uint16 if not signed else np.int1629 elif depth == 4 and not is_complex:30 return np.float3231 elif depth == 8 and not is_complex:32 return np.float6433 elif depth == 8 and is_complex:34 return np.complex6435 elif depth == 16 and is_complex:36 return np.complex12837 else:38 raise AssertionError("Data type is not recognized")39def get_gdal_dtype(depth, is_complex, signed=True):40 """41 Method to convert the pair (depth={1,2,4,8}, is_complex={True,False})42 If is_complex == True, depth corresponds real and imaginary parts43 to GDAL data type : gdal.GDT_Byte, ...44 >>> get_gdal_dtype(4, False) == gdal.GDT_Float3245 True46 >>> get_gdal_dtype(8, True) == gdal.GDT_CFloat3247 True48 """49 if depth == 1 and not is_complex:50 return gdal.GDT_Byte51 elif depth == 2 and not is_complex:52 return gdal.GDT_UInt16 if not signed else gdal.GDT_Int1653 elif depth == 4 and not is_complex:54 return gdal.GDT_Float3255 elif depth == 8 and not is_complex:56 return gdal.GDT_Float6457 elif depth == 8 and is_complex:58 return gdal.GDT_CFloat3259 elif depth == 16 and is_complex:60 return gdal.GDT_CFloat6461 else:62 raise AssertionError("Data type is not recognized")63def gdal_to_numpy_datatype(gdal_datatype):64 """65 Method to convert gdal data type to numpy dtype66 >>> gdal_to_numpy_datatype(gdal.GDT_Float32) == np.float3267 True68 """69 if gdal_datatype == gdal.GDT_Byte:70 return np.uint871 elif gdal_datatype == gdal.GDT_Int16:72 return np.int1673 elif gdal_datatype == gdal.GDT_Int32:74 return np.int3275 elif gdal_datatype == gdal.GDT_UInt16:76 return np.uint1677 elif gdal_datatype == gdal.GDT_UInt32:78 return np.uint3279 elif gdal_datatype == gdal.GDT_Float32:80 return np.float3281 elif gdal_datatype == gdal.GDT_Float64:82 return np.float6483 elif gdal_datatype == gdal.GDT_CInt16:84 # No associated type -> cast to complex6485 return np.complex6486 elif gdal_datatype == gdal.GDT_CInt32:87 # No associated type -> cast to complex6488 return np.complex6489 elif gdal_datatype == gdal.GDT_CFloat32:90 return np.complex6491 elif gdal_datatype == gdal.GDT_CFloat64:92 return np.complex12893 else:94 raise AssertionError("Data type '%i' is not recognized" % gdal_datatype)95def numpy_to_gdal_datatype(dtype):96 """97 Method to convert numpy data type to gdal dtype98 """99 if dtype == np.uint8:100 return gdal.GDT_Byte101 elif dtype == np.int16:102 return gdal.GDT_Int16103 elif dtype == np.int32:104 return gdal.GDT_Int32105 elif dtype == np.uint16:106 return gdal.GDT_UInt16107 elif dtype == np.uint32:108 return gdal.GDT_UInt32109 elif dtype == np.float32:110 return gdal.GDT_Float32111 elif dtype == np.float64:112 return gdal.GDT_Float64113 elif dtype == np.complex64:114 return gdal.GDT_CFloat32115 elif dtype == np.complex128:116 return gdal.GDT_CFloat64117 else:...
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