Mercurial > repos > shellac > guppy_basecaller
annotate env/lib/python3.7/site-packages/typing_extensions.py @ 3:758bc20232e8 draft
"planemo upload commit 2a0fe2cc28b09e101d37293e53e82f61762262ec"
author | shellac |
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date | Thu, 14 May 2020 16:20:52 -0400 |
parents | 26e78fe6e8c4 |
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1 import abc |
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2 import collections |
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3 import contextlib |
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4 import sys |
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5 import typing |
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6 import collections.abc as collections_abc |
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7 import operator |
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8 |
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9 # These are used by Protocol implementation |
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10 # We use internal typing helpers here, but this significantly reduces |
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11 # code duplication. (Also this is only until Protocol is in typing.) |
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12 from typing import Generic, Callable, TypeVar, Tuple |
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13 |
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14 # After PEP 560, internal typing API was substantially reworked. |
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15 # This is especially important for Protocol class which uses internal APIs |
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16 # quite extensivelly. |
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17 PEP_560 = sys.version_info[:3] >= (3, 7, 0) |
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18 |
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19 if PEP_560: |
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20 GenericMeta = TypingMeta = type |
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21 else: |
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22 from typing import GenericMeta, TypingMeta |
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23 OLD_GENERICS = False |
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24 try: |
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25 from typing import _type_vars, _next_in_mro, _type_check |
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26 except ImportError: |
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27 OLD_GENERICS = True |
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28 try: |
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29 from typing import _subs_tree # noqa |
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30 SUBS_TREE = True |
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31 except ImportError: |
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32 SUBS_TREE = False |
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33 try: |
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34 from typing import _tp_cache |
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35 except ImportError: |
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36 def _tp_cache(x): |
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37 return x |
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38 try: |
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39 from typing import _TypingEllipsis, _TypingEmpty |
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40 except ImportError: |
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41 class _TypingEllipsis: |
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42 pass |
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43 |
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44 class _TypingEmpty: |
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45 pass |
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46 |
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47 |
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48 # The two functions below are copies of typing internal helpers. |
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49 # They are needed by _ProtocolMeta |
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50 |
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51 |
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52 def _no_slots_copy(dct): |
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53 dict_copy = dict(dct) |
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54 if '__slots__' in dict_copy: |
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55 for slot in dict_copy['__slots__']: |
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56 dict_copy.pop(slot, None) |
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57 return dict_copy |
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58 |
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59 |
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60 def _check_generic(cls, parameters): |
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61 if not cls.__parameters__: |
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62 raise TypeError("%s is not a generic class" % repr(cls)) |
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63 alen = len(parameters) |
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64 elen = len(cls.__parameters__) |
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65 if alen != elen: |
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66 raise TypeError("Too %s parameters for %s; actual %s, expected %s" % |
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67 ("many" if alen > elen else "few", repr(cls), alen, elen)) |
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68 |
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69 |
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70 if hasattr(typing, '_generic_new'): |
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71 _generic_new = typing._generic_new |
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72 else: |
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73 # Note: The '_generic_new(...)' function is used as a part of the |
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74 # process of creating a generic type and was added to the typing module |
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75 # as of Python 3.5.3. |
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76 # |
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77 # We've defined '_generic_new(...)' below to exactly match the behavior |
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78 # implemented in older versions of 'typing' bundled with Python 3.5.0 to |
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79 # 3.5.2. This helps eliminate redundancy when defining collection types |
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80 # like 'Deque' later. |
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81 # |
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82 # See https://github.com/python/typing/pull/308 for more details -- in |
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83 # particular, compare and contrast the definition of types like |
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84 # 'typing.List' before and after the merge. |
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85 |
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86 def _generic_new(base_cls, cls, *args, **kwargs): |
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87 return base_cls.__new__(cls, *args, **kwargs) |
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88 |
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89 # See https://github.com/python/typing/pull/439 |
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90 if hasattr(typing, '_geqv'): |
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91 from typing import _geqv |
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92 _geqv_defined = True |
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93 else: |
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94 _geqv = None |
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95 _geqv_defined = False |
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96 |
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97 if sys.version_info[:2] >= (3, 6): |
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98 import _collections_abc |
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99 _check_methods_in_mro = _collections_abc._check_methods |
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100 else: |
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101 def _check_methods_in_mro(C, *methods): |
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102 mro = C.__mro__ |
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103 for method in methods: |
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104 for B in mro: |
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105 if method in B.__dict__: |
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106 if B.__dict__[method] is None: |
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107 return NotImplemented |
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108 break |
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109 else: |
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110 return NotImplemented |
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111 return True |
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112 |
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113 |
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114 # Please keep __all__ alphabetized within each category. |
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115 __all__ = [ |
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116 # Super-special typing primitives. |
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117 'ClassVar', |
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118 'Final', |
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119 'Type', |
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120 |
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121 # ABCs (from collections.abc). |
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122 # The following are added depending on presence |
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123 # of their non-generic counterparts in stdlib: |
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124 # 'Awaitable', |
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125 # 'AsyncIterator', |
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126 # 'AsyncIterable', |
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127 # 'Coroutine', |
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128 # 'AsyncGenerator', |
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129 # 'AsyncContextManager', |
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130 # 'ChainMap', |
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131 |
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132 # Concrete collection types. |
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133 'ContextManager', |
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134 'Counter', |
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135 'Deque', |
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136 'DefaultDict', |
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137 'TypedDict', |
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138 |
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139 # One-off things. |
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140 'final', |
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141 'IntVar', |
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142 'Literal', |
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143 'NewType', |
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144 'overload', |
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145 'Text', |
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146 'TYPE_CHECKING', |
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147 ] |
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148 |
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149 # Annotated relies on substitution trees of pep 560. It will not work for |
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150 # versions of typing older than 3.5.3 |
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151 HAVE_ANNOTATED = PEP_560 or SUBS_TREE |
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152 |
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153 if PEP_560: |
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154 __all__.extend(["get_args", "get_origin", "get_type_hints"]) |
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155 |
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156 if HAVE_ANNOTATED: |
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157 __all__.append("Annotated") |
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158 |
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159 # Protocols are hard to backport to the original version of typing 3.5.0 |
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160 HAVE_PROTOCOLS = sys.version_info[:3] != (3, 5, 0) |
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161 |
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162 if HAVE_PROTOCOLS: |
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163 __all__.extend(['Protocol', 'runtime', 'runtime_checkable']) |
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164 |
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165 |
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166 # TODO |
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167 if hasattr(typing, 'NoReturn'): |
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168 NoReturn = typing.NoReturn |
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169 elif hasattr(typing, '_FinalTypingBase'): |
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170 class _NoReturn(typing._FinalTypingBase, _root=True): |
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171 """Special type indicating functions that never return. |
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172 Example:: |
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173 |
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174 from typing import NoReturn |
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175 |
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176 def stop() -> NoReturn: |
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177 raise Exception('no way') |
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178 |
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179 This type is invalid in other positions, e.g., ``List[NoReturn]`` |
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180 will fail in static type checkers. |
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181 """ |
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182 __slots__ = () |
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183 |
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184 def __instancecheck__(self, obj): |
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185 raise TypeError("NoReturn cannot be used with isinstance().") |
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186 |
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187 def __subclasscheck__(self, cls): |
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188 raise TypeError("NoReturn cannot be used with issubclass().") |
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189 |
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190 NoReturn = _NoReturn(_root=True) |
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191 else: |
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192 class _NoReturnMeta(typing.TypingMeta): |
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193 """Metaclass for NoReturn""" |
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194 def __new__(cls, name, bases, namespace, _root=False): |
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195 return super().__new__(cls, name, bases, namespace, _root=_root) |
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196 |
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197 def __instancecheck__(self, obj): |
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198 raise TypeError("NoReturn cannot be used with isinstance().") |
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199 |
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200 def __subclasscheck__(self, cls): |
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201 raise TypeError("NoReturn cannot be used with issubclass().") |
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202 |
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203 class NoReturn(typing.Final, metaclass=_NoReturnMeta, _root=True): |
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204 """Special type indicating functions that never return. |
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205 Example:: |
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206 |
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207 from typing import NoReturn |
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208 |
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209 def stop() -> NoReturn: |
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210 raise Exception('no way') |
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211 |
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212 This type is invalid in other positions, e.g., ``List[NoReturn]`` |
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213 will fail in static type checkers. |
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214 """ |
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215 __slots__ = () |
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216 |
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217 |
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218 # Some unconstrained type variables. These are used by the container types. |
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219 # (These are not for export.) |
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220 T = typing.TypeVar('T') # Any type. |
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221 KT = typing.TypeVar('KT') # Key type. |
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222 VT = typing.TypeVar('VT') # Value type. |
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223 T_co = typing.TypeVar('T_co', covariant=True) # Any type covariant containers. |
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224 V_co = typing.TypeVar('V_co', covariant=True) # Any type covariant containers. |
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225 VT_co = typing.TypeVar('VT_co', covariant=True) # Value type covariant containers. |
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226 T_contra = typing.TypeVar('T_contra', contravariant=True) # Ditto contravariant. |
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227 |
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228 |
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229 if hasattr(typing, 'ClassVar'): |
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230 ClassVar = typing.ClassVar |
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231 elif hasattr(typing, '_FinalTypingBase'): |
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232 class _ClassVar(typing._FinalTypingBase, _root=True): |
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233 """Special type construct to mark class variables. |
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234 |
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235 An annotation wrapped in ClassVar indicates that a given |
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236 attribute is intended to be used as a class variable and |
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237 should not be set on instances of that class. Usage:: |
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238 |
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239 class Starship: |
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240 stats: ClassVar[Dict[str, int]] = {} # class variable |
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241 damage: int = 10 # instance variable |
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242 |
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243 ClassVar accepts only types and cannot be further subscribed. |
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244 |
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245 Note that ClassVar is not a class itself, and should not |
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246 be used with isinstance() or issubclass(). |
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247 """ |
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248 |
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249 __slots__ = ('__type__',) |
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250 |
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251 def __init__(self, tp=None, **kwds): |
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252 self.__type__ = tp |
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253 |
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254 def __getitem__(self, item): |
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255 cls = type(self) |
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256 if self.__type__ is None: |
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257 return cls(typing._type_check(item, |
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258 '{} accepts only single type.'.format(cls.__name__[1:])), |
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259 _root=True) |
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260 raise TypeError('{} cannot be further subscripted' |
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261 .format(cls.__name__[1:])) |
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262 |
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263 def _eval_type(self, globalns, localns): |
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264 new_tp = typing._eval_type(self.__type__, globalns, localns) |
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265 if new_tp == self.__type__: |
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266 return self |
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267 return type(self)(new_tp, _root=True) |
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268 |
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269 def __repr__(self): |
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270 r = super().__repr__() |
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271 if self.__type__ is not None: |
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272 r += '[{}]'.format(typing._type_repr(self.__type__)) |
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273 return r |
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274 |
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275 def __hash__(self): |
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276 return hash((type(self).__name__, self.__type__)) |
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277 |
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278 def __eq__(self, other): |
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279 if not isinstance(other, _ClassVar): |
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280 return NotImplemented |
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281 if self.__type__ is not None: |
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282 return self.__type__ == other.__type__ |
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283 return self is other |
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284 |
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285 ClassVar = _ClassVar(_root=True) |
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286 else: |
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287 class _ClassVarMeta(typing.TypingMeta): |
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288 """Metaclass for ClassVar""" |
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289 |
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290 def __new__(cls, name, bases, namespace, tp=None, _root=False): |
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291 self = super().__new__(cls, name, bases, namespace, _root=_root) |
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292 if tp is not None: |
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293 self.__type__ = tp |
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294 return self |
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295 |
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296 def __instancecheck__(self, obj): |
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297 raise TypeError("ClassVar cannot be used with isinstance().") |
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298 |
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299 def __subclasscheck__(self, cls): |
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300 raise TypeError("ClassVar cannot be used with issubclass().") |
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301 |
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302 def __getitem__(self, item): |
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303 cls = type(self) |
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304 if self.__type__ is not None: |
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305 raise TypeError('{} cannot be further subscripted' |
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306 .format(cls.__name__[1:])) |
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307 |
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308 param = typing._type_check( |
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309 item, |
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310 '{} accepts only single type.'.format(cls.__name__[1:])) |
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311 return cls(self.__name__, self.__bases__, |
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312 dict(self.__dict__), tp=param, _root=True) |
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313 |
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314 def _eval_type(self, globalns, localns): |
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315 new_tp = typing._eval_type(self.__type__, globalns, localns) |
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316 if new_tp == self.__type__: |
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317 return self |
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318 return type(self)(self.__name__, self.__bases__, |
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319 dict(self.__dict__), tp=self.__type__, |
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320 _root=True) |
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321 |
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322 def __repr__(self): |
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323 r = super().__repr__() |
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324 if self.__type__ is not None: |
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325 r += '[{}]'.format(typing._type_repr(self.__type__)) |
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326 return r |
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327 |
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328 def __hash__(self): |
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329 return hash((type(self).__name__, self.__type__)) |
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330 |
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331 def __eq__(self, other): |
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332 if not isinstance(other, ClassVar): |
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333 return NotImplemented |
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334 if self.__type__ is not None: |
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335 return self.__type__ == other.__type__ |
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336 return self is other |
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337 |
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338 class ClassVar(typing.Final, metaclass=_ClassVarMeta, _root=True): |
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339 """Special type construct to mark class variables. |
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340 |
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341 An annotation wrapped in ClassVar indicates that a given |
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342 attribute is intended to be used as a class variable and |
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343 should not be set on instances of that class. Usage:: |
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344 |
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345 class Starship: |
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346 stats: ClassVar[Dict[str, int]] = {} # class variable |
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347 damage: int = 10 # instance variable |
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348 |
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349 ClassVar accepts only types and cannot be further subscribed. |
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350 |
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351 Note that ClassVar is not a class itself, and should not |
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352 be used with isinstance() or issubclass(). |
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353 """ |
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354 |
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355 __type__ = None |
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356 |
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357 # On older versions of typing there is an internal class named "Final". |
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358 if hasattr(typing, 'Final') and sys.version_info[:2] >= (3, 7): |
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359 Final = typing.Final |
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360 elif sys.version_info[:2] >= (3, 7): |
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361 class _FinalForm(typing._SpecialForm, _root=True): |
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362 |
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363 def __repr__(self): |
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364 return 'typing_extensions.' + self._name |
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365 |
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366 def __getitem__(self, parameters): |
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367 item = typing._type_check(parameters, |
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368 '{} accepts only single type'.format(self._name)) |
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369 return _GenericAlias(self, (item,)) |
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370 |
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371 Final = _FinalForm('Final', |
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372 doc="""A special typing construct to indicate that a name |
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373 cannot be re-assigned or overridden in a subclass. |
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374 For example: |
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375 |
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376 MAX_SIZE: Final = 9000 |
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377 MAX_SIZE += 1 # Error reported by type checker |
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378 |
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379 class Connection: |
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380 TIMEOUT: Final[int] = 10 |
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381 class FastConnector(Connection): |
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382 TIMEOUT = 1 # Error reported by type checker |
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383 |
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384 There is no runtime checking of these properties.""") |
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385 elif hasattr(typing, '_FinalTypingBase'): |
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386 class _Final(typing._FinalTypingBase, _root=True): |
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387 """A special typing construct to indicate that a name |
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388 cannot be re-assigned or overridden in a subclass. |
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389 For example: |
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390 |
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391 MAX_SIZE: Final = 9000 |
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392 MAX_SIZE += 1 # Error reported by type checker |
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393 |
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394 class Connection: |
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395 TIMEOUT: Final[int] = 10 |
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396 class FastConnector(Connection): |
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397 TIMEOUT = 1 # Error reported by type checker |
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398 |
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399 There is no runtime checking of these properties. |
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400 """ |
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401 |
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402 __slots__ = ('__type__',) |
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403 |
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404 def __init__(self, tp=None, **kwds): |
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405 self.__type__ = tp |
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406 |
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407 def __getitem__(self, item): |
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408 cls = type(self) |
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409 if self.__type__ is None: |
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410 return cls(typing._type_check(item, |
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411 '{} accepts only single type.'.format(cls.__name__[1:])), |
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412 _root=True) |
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413 raise TypeError('{} cannot be further subscripted' |
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414 .format(cls.__name__[1:])) |
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415 |
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416 def _eval_type(self, globalns, localns): |
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417 new_tp = typing._eval_type(self.__type__, globalns, localns) |
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418 if new_tp == self.__type__: |
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419 return self |
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420 return type(self)(new_tp, _root=True) |
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421 |
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422 def __repr__(self): |
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423 r = super().__repr__() |
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424 if self.__type__ is not None: |
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425 r += '[{}]'.format(typing._type_repr(self.__type__)) |
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426 return r |
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427 |
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428 def __hash__(self): |
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429 return hash((type(self).__name__, self.__type__)) |
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430 |
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431 def __eq__(self, other): |
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432 if not isinstance(other, _Final): |
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433 return NotImplemented |
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434 if self.__type__ is not None: |
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435 return self.__type__ == other.__type__ |
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436 return self is other |
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437 |
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438 Final = _Final(_root=True) |
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439 else: |
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440 class _FinalMeta(typing.TypingMeta): |
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441 """Metaclass for Final""" |
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442 |
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443 def __new__(cls, name, bases, namespace, tp=None, _root=False): |
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444 self = super().__new__(cls, name, bases, namespace, _root=_root) |
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445 if tp is not None: |
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446 self.__type__ = tp |
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447 return self |
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448 |
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449 def __instancecheck__(self, obj): |
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450 raise TypeError("Final cannot be used with isinstance().") |
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451 |
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452 def __subclasscheck__(self, cls): |
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453 raise TypeError("Final cannot be used with issubclass().") |
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454 |
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455 def __getitem__(self, item): |
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456 cls = type(self) |
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457 if self.__type__ is not None: |
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458 raise TypeError('{} cannot be further subscripted' |
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459 .format(cls.__name__[1:])) |
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460 |
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461 param = typing._type_check( |
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462 item, |
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463 '{} accepts only single type.'.format(cls.__name__[1:])) |
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464 return cls(self.__name__, self.__bases__, |
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465 dict(self.__dict__), tp=param, _root=True) |
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466 |
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467 def _eval_type(self, globalns, localns): |
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468 new_tp = typing._eval_type(self.__type__, globalns, localns) |
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469 if new_tp == self.__type__: |
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470 return self |
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471 return type(self)(self.__name__, self.__bases__, |
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472 dict(self.__dict__), tp=self.__type__, |
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473 _root=True) |
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474 |
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475 def __repr__(self): |
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476 r = super().__repr__() |
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477 if self.__type__ is not None: |
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478 r += '[{}]'.format(typing._type_repr(self.__type__)) |
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479 return r |
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480 |
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481 def __hash__(self): |
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482 return hash((type(self).__name__, self.__type__)) |
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483 |
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484 def __eq__(self, other): |
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485 if not isinstance(other, Final): |
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486 return NotImplemented |
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487 if self.__type__ is not None: |
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488 return self.__type__ == other.__type__ |
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489 return self is other |
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490 |
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491 class Final(typing.Final, metaclass=_FinalMeta, _root=True): |
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492 """A special typing construct to indicate that a name |
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493 cannot be re-assigned or overridden in a subclass. |
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494 For example: |
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495 |
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496 MAX_SIZE: Final = 9000 |
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497 MAX_SIZE += 1 # Error reported by type checker |
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498 |
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499 class Connection: |
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500 TIMEOUT: Final[int] = 10 |
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501 class FastConnector(Connection): |
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502 TIMEOUT = 1 # Error reported by type checker |
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503 |
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504 There is no runtime checking of these properties. |
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505 """ |
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506 |
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507 __type__ = None |
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508 |
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509 |
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510 if hasattr(typing, 'final'): |
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511 final = typing.final |
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512 else: |
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513 def final(f): |
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514 """This decorator can be used to indicate to type checkers that |
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515 the decorated method cannot be overridden, and decorated class |
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516 cannot be subclassed. For example: |
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517 |
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518 class Base: |
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519 @final |
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520 def done(self) -> None: |
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521 ... |
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522 class Sub(Base): |
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523 def done(self) -> None: # Error reported by type checker |
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524 ... |
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525 @final |
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526 class Leaf: |
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527 ... |
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528 class Other(Leaf): # Error reported by type checker |
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529 ... |
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530 |
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531 There is no runtime checking of these properties. |
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532 """ |
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533 return f |
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534 |
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535 |
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536 def IntVar(name): |
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537 return TypeVar(name) |
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538 |
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539 |
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540 if hasattr(typing, 'Literal'): |
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541 Literal = typing.Literal |
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542 elif sys.version_info[:2] >= (3, 7): |
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543 class _LiteralForm(typing._SpecialForm, _root=True): |
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544 |
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545 def __repr__(self): |
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546 return 'typing_extensions.' + self._name |
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547 |
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548 def __getitem__(self, parameters): |
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549 return _GenericAlias(self, parameters) |
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550 |
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551 Literal = _LiteralForm('Literal', |
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552 doc="""A type that can be used to indicate to type checkers |
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553 that the corresponding value has a value literally equivalent |
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554 to the provided parameter. For example: |
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555 |
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556 var: Literal[4] = 4 |
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557 |
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558 The type checker understands that 'var' is literally equal to |
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559 the value 4 and no other value. |
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560 |
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561 Literal[...] cannot be subclassed. There is no runtime |
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562 checking verifying that the parameter is actually a value |
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563 instead of a type.""") |
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564 elif hasattr(typing, '_FinalTypingBase'): |
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565 class _Literal(typing._FinalTypingBase, _root=True): |
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566 """A type that can be used to indicate to type checkers that the |
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567 corresponding value has a value literally equivalent to the |
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568 provided parameter. For example: |
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569 |
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570 var: Literal[4] = 4 |
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571 |
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572 The type checker understands that 'var' is literally equal to the |
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573 value 4 and no other value. |
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574 |
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575 Literal[...] cannot be subclassed. There is no runtime checking |
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576 verifying that the parameter is actually a value instead of a type. |
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577 """ |
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578 |
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579 __slots__ = ('__values__',) |
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580 |
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581 def __init__(self, values=None, **kwds): |
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582 self.__values__ = values |
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583 |
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584 def __getitem__(self, values): |
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585 cls = type(self) |
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586 if self.__values__ is None: |
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587 if not isinstance(values, tuple): |
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588 values = (values,) |
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589 return cls(values, _root=True) |
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590 raise TypeError('{} cannot be further subscripted' |
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591 .format(cls.__name__[1:])) |
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592 |
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593 def _eval_type(self, globalns, localns): |
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594 return self |
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595 |
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596 def __repr__(self): |
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597 r = super().__repr__() |
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598 if self.__values__ is not None: |
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599 r += '[{}]'.format(', '.join(map(typing._type_repr, self.__values__))) |
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600 return r |
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601 |
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602 def __hash__(self): |
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603 return hash((type(self).__name__, self.__values__)) |
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604 |
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605 def __eq__(self, other): |
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606 if not isinstance(other, _Literal): |
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607 return NotImplemented |
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608 if self.__values__ is not None: |
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609 return self.__values__ == other.__values__ |
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610 return self is other |
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611 |
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612 Literal = _Literal(_root=True) |
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613 else: |
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614 class _LiteralMeta(typing.TypingMeta): |
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615 """Metaclass for Literal""" |
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616 |
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617 def __new__(cls, name, bases, namespace, values=None, _root=False): |
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618 self = super().__new__(cls, name, bases, namespace, _root=_root) |
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619 if values is not None: |
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620 self.__values__ = values |
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621 return self |
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622 |
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623 def __instancecheck__(self, obj): |
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624 raise TypeError("Literal cannot be used with isinstance().") |
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625 |
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626 def __subclasscheck__(self, cls): |
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627 raise TypeError("Literal cannot be used with issubclass().") |
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628 |
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629 def __getitem__(self, item): |
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630 cls = type(self) |
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631 if self.__values__ is not None: |
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632 raise TypeError('{} cannot be further subscripted' |
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633 .format(cls.__name__[1:])) |
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634 |
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635 if not isinstance(item, tuple): |
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636 item = (item,) |
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637 return cls(self.__name__, self.__bases__, |
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638 dict(self.__dict__), values=item, _root=True) |
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639 |
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640 def _eval_type(self, globalns, localns): |
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641 return self |
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642 |
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643 def __repr__(self): |
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644 r = super().__repr__() |
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645 if self.__values__ is not None: |
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646 r += '[{}]'.format(', '.join(map(typing._type_repr, self.__values__))) |
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647 return r |
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648 |
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649 def __hash__(self): |
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650 return hash((type(self).__name__, self.__values__)) |
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651 |
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652 def __eq__(self, other): |
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653 if not isinstance(other, Literal): |
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654 return NotImplemented |
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655 if self.__values__ is not None: |
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656 return self.__values__ == other.__values__ |
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657 return self is other |
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658 |
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659 class Literal(typing.Final, metaclass=_LiteralMeta, _root=True): |
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660 """A type that can be used to indicate to type checkers that the |
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661 corresponding value has a value literally equivalent to the |
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662 provided parameter. For example: |
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663 |
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664 var: Literal[4] = 4 |
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665 |
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666 The type checker understands that 'var' is literally equal to the |
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667 value 4 and no other value. |
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668 |
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669 Literal[...] cannot be subclassed. There is no runtime checking |
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670 verifying that the parameter is actually a value instead of a type. |
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671 """ |
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672 |
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673 __values__ = None |
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674 |
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675 |
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676 def _overload_dummy(*args, **kwds): |
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677 """Helper for @overload to raise when called.""" |
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678 raise NotImplementedError( |
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679 "You should not call an overloaded function. " |
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680 "A series of @overload-decorated functions " |
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681 "outside a stub module should always be followed " |
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682 "by an implementation that is not @overload-ed.") |
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683 |
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684 |
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685 def overload(func): |
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686 """Decorator for overloaded functions/methods. |
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687 |
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688 In a stub file, place two or more stub definitions for the same |
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689 function in a row, each decorated with @overload. For example: |
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690 |
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691 @overload |
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692 def utf8(value: None) -> None: ... |
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693 @overload |
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694 def utf8(value: bytes) -> bytes: ... |
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695 @overload |
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696 def utf8(value: str) -> bytes: ... |
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697 |
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698 In a non-stub file (i.e. a regular .py file), do the same but |
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699 follow it with an implementation. The implementation should *not* |
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700 be decorated with @overload. For example: |
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701 |
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702 @overload |
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703 def utf8(value: None) -> None: ... |
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704 @overload |
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705 def utf8(value: bytes) -> bytes: ... |
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706 @overload |
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707 def utf8(value: str) -> bytes: ... |
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708 def utf8(value): |
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709 # implementation goes here |
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710 """ |
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711 return _overload_dummy |
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712 |
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713 |
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714 # This is not a real generic class. Don't use outside annotations. |
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715 if hasattr(typing, 'Type'): |
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716 Type = typing.Type |
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717 else: |
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718 # Internal type variable used for Type[]. |
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719 CT_co = typing.TypeVar('CT_co', covariant=True, bound=type) |
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720 |
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721 class Type(typing.Generic[CT_co], extra=type): |
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722 """A special construct usable to annotate class objects. |
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723 |
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724 For example, suppose we have the following classes:: |
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725 |
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726 class User: ... # Abstract base for User classes |
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727 class BasicUser(User): ... |
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728 class ProUser(User): ... |
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729 class TeamUser(User): ... |
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730 |
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731 And a function that takes a class argument that's a subclass of |
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732 User and returns an instance of the corresponding class:: |
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733 |
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734 U = TypeVar('U', bound=User) |
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735 def new_user(user_class: Type[U]) -> U: |
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736 user = user_class() |
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737 # (Here we could write the user object to a database) |
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738 return user |
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739 joe = new_user(BasicUser) |
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740 |
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741 At this point the type checker knows that joe has type BasicUser. |
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742 """ |
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743 |
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744 __slots__ = () |
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745 |
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746 |
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747 # Various ABCs mimicking those in collections.abc. |
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748 # A few are simply re-exported for completeness. |
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749 |
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750 def _define_guard(type_name): |
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751 """ |
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752 Returns True if the given type isn't defined in typing but |
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753 is defined in collections_abc. |
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754 |
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755 Adds the type to __all__ if the collection is found in either |
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756 typing or collection_abc. |
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757 """ |
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758 if hasattr(typing, type_name): |
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759 __all__.append(type_name) |
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760 globals()[type_name] = getattr(typing, type_name) |
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761 return False |
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762 elif hasattr(collections_abc, type_name): |
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763 __all__.append(type_name) |
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764 return True |
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765 else: |
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766 return False |
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767 |
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768 |
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769 class _ExtensionsGenericMeta(GenericMeta): |
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770 def __subclasscheck__(self, subclass): |
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771 """This mimics a more modern GenericMeta.__subclasscheck__() logic |
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772 (that does not have problems with recursion) to work around interactions |
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773 between collections, typing, and typing_extensions on older |
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774 versions of Python, see https://github.com/python/typing/issues/501. |
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775 """ |
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776 if sys.version_info[:3] >= (3, 5, 3) or sys.version_info[:3] < (3, 5, 0): |
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777 if self.__origin__ is not None: |
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778 if sys._getframe(1).f_globals['__name__'] not in ['abc', 'functools']: |
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779 raise TypeError("Parameterized generics cannot be used with class " |
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780 "or instance checks") |
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781 return False |
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782 if not self.__extra__: |
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783 return super().__subclasscheck__(subclass) |
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784 res = self.__extra__.__subclasshook__(subclass) |
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785 if res is not NotImplemented: |
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786 return res |
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787 if self.__extra__ in subclass.__mro__: |
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788 return True |
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789 for scls in self.__extra__.__subclasses__(): |
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790 if isinstance(scls, GenericMeta): |
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791 continue |
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792 if issubclass(subclass, scls): |
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793 return True |
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794 return False |
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795 |
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796 |
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797 if _define_guard('Awaitable'): |
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798 class Awaitable(typing.Generic[T_co], metaclass=_ExtensionsGenericMeta, |
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799 extra=collections_abc.Awaitable): |
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800 __slots__ = () |
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801 |
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802 |
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803 if _define_guard('Coroutine'): |
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804 class Coroutine(Awaitable[V_co], typing.Generic[T_co, T_contra, V_co], |
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805 metaclass=_ExtensionsGenericMeta, |
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806 extra=collections_abc.Coroutine): |
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807 __slots__ = () |
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808 |
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809 |
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810 if _define_guard('AsyncIterable'): |
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811 class AsyncIterable(typing.Generic[T_co], |
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812 metaclass=_ExtensionsGenericMeta, |
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813 extra=collections_abc.AsyncIterable): |
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814 __slots__ = () |
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815 |
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816 |
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817 if _define_guard('AsyncIterator'): |
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818 class AsyncIterator(AsyncIterable[T_co], |
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819 metaclass=_ExtensionsGenericMeta, |
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820 extra=collections_abc.AsyncIterator): |
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821 __slots__ = () |
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822 |
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823 |
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824 if hasattr(typing, 'Deque'): |
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825 Deque = typing.Deque |
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826 elif _geqv_defined: |
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827 class Deque(collections.deque, typing.MutableSequence[T], |
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828 metaclass=_ExtensionsGenericMeta, |
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829 extra=collections.deque): |
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830 __slots__ = () |
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831 |
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832 def __new__(cls, *args, **kwds): |
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833 if _geqv(cls, Deque): |
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834 return collections.deque(*args, **kwds) |
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835 return _generic_new(collections.deque, cls, *args, **kwds) |
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836 else: |
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837 class Deque(collections.deque, typing.MutableSequence[T], |
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838 metaclass=_ExtensionsGenericMeta, |
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839 extra=collections.deque): |
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840 __slots__ = () |
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841 |
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842 def __new__(cls, *args, **kwds): |
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843 if cls._gorg is Deque: |
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844 return collections.deque(*args, **kwds) |
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845 return _generic_new(collections.deque, cls, *args, **kwds) |
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846 |
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847 |
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848 if hasattr(typing, 'ContextManager'): |
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849 ContextManager = typing.ContextManager |
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850 elif hasattr(contextlib, 'AbstractContextManager'): |
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851 class ContextManager(typing.Generic[T_co], |
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852 metaclass=_ExtensionsGenericMeta, |
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853 extra=contextlib.AbstractContextManager): |
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854 __slots__ = () |
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855 else: |
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856 class ContextManager(typing.Generic[T_co]): |
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857 __slots__ = () |
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858 |
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859 def __enter__(self): |
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860 return self |
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861 |
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862 @abc.abstractmethod |
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863 def __exit__(self, exc_type, exc_value, traceback): |
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864 return None |
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865 |
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866 @classmethod |
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867 def __subclasshook__(cls, C): |
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868 if cls is ContextManager: |
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869 # In Python 3.6+, it is possible to set a method to None to |
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870 # explicitly indicate that the class does not implement an ABC |
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871 # (https://bugs.python.org/issue25958), but we do not support |
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872 # that pattern here because this fallback class is only used |
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873 # in Python 3.5 and earlier. |
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874 if (any("__enter__" in B.__dict__ for B in C.__mro__) and |
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875 any("__exit__" in B.__dict__ for B in C.__mro__)): |
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876 return True |
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877 return NotImplemented |
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878 |
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879 |
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880 if hasattr(typing, 'AsyncContextManager'): |
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881 AsyncContextManager = typing.AsyncContextManager |
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882 __all__.append('AsyncContextManager') |
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883 elif hasattr(contextlib, 'AbstractAsyncContextManager'): |
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884 class AsyncContextManager(typing.Generic[T_co], |
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885 metaclass=_ExtensionsGenericMeta, |
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886 extra=contextlib.AbstractAsyncContextManager): |
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887 __slots__ = () |
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888 |
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889 __all__.append('AsyncContextManager') |
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890 elif sys.version_info[:2] >= (3, 5): |
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891 exec(""" |
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892 class AsyncContextManager(typing.Generic[T_co]): |
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893 __slots__ = () |
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894 |
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895 async def __aenter__(self): |
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896 return self |
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897 |
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898 @abc.abstractmethod |
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899 async def __aexit__(self, exc_type, exc_value, traceback): |
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900 return None |
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901 |
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902 @classmethod |
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903 def __subclasshook__(cls, C): |
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904 if cls is AsyncContextManager: |
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905 return _check_methods_in_mro(C, "__aenter__", "__aexit__") |
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906 return NotImplemented |
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907 |
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908 __all__.append('AsyncContextManager') |
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909 """) |
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|
910 |
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911 |
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912 if hasattr(typing, 'DefaultDict'): |
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913 DefaultDict = typing.DefaultDict |
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914 elif _geqv_defined: |
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915 class DefaultDict(collections.defaultdict, typing.MutableMapping[KT, VT], |
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916 metaclass=_ExtensionsGenericMeta, |
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917 extra=collections.defaultdict): |
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918 |
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919 __slots__ = () |
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920 |
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921 def __new__(cls, *args, **kwds): |
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922 if _geqv(cls, DefaultDict): |
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923 return collections.defaultdict(*args, **kwds) |
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924 return _generic_new(collections.defaultdict, cls, *args, **kwds) |
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925 else: |
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926 class DefaultDict(collections.defaultdict, typing.MutableMapping[KT, VT], |
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927 metaclass=_ExtensionsGenericMeta, |
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928 extra=collections.defaultdict): |
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929 |
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930 __slots__ = () |
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931 |
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932 def __new__(cls, *args, **kwds): |
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933 if cls._gorg is DefaultDict: |
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934 return collections.defaultdict(*args, **kwds) |
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935 return _generic_new(collections.defaultdict, cls, *args, **kwds) |
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936 |
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937 |
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938 if hasattr(typing, 'Counter'): |
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939 Counter = typing.Counter |
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940 elif (3, 5, 0) <= sys.version_info[:3] <= (3, 5, 1): |
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941 assert _geqv_defined |
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942 _TInt = typing.TypeVar('_TInt') |
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943 |
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944 class _CounterMeta(typing.GenericMeta): |
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945 """Metaclass for Counter""" |
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946 def __getitem__(self, item): |
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947 return super().__getitem__((item, int)) |
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948 |
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949 class Counter(collections.Counter, |
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950 typing.Dict[T, int], |
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951 metaclass=_CounterMeta, |
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952 extra=collections.Counter): |
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953 |
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954 __slots__ = () |
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955 |
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956 def __new__(cls, *args, **kwds): |
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957 if _geqv(cls, Counter): |
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958 return collections.Counter(*args, **kwds) |
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959 return _generic_new(collections.Counter, cls, *args, **kwds) |
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960 |
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961 elif _geqv_defined: |
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962 class Counter(collections.Counter, |
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963 typing.Dict[T, int], |
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964 metaclass=_ExtensionsGenericMeta, extra=collections.Counter): |
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965 |
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966 __slots__ = () |
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967 |
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968 def __new__(cls, *args, **kwds): |
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969 if _geqv(cls, Counter): |
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970 return collections.Counter(*args, **kwds) |
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971 return _generic_new(collections.Counter, cls, *args, **kwds) |
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972 |
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973 else: |
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974 class Counter(collections.Counter, |
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975 typing.Dict[T, int], |
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976 metaclass=_ExtensionsGenericMeta, extra=collections.Counter): |
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977 |
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978 __slots__ = () |
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979 |
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980 def __new__(cls, *args, **kwds): |
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981 if cls._gorg is Counter: |
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982 return collections.Counter(*args, **kwds) |
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983 return _generic_new(collections.Counter, cls, *args, **kwds) |
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984 |
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985 |
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986 if hasattr(typing, 'ChainMap'): |
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987 ChainMap = typing.ChainMap |
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988 __all__.append('ChainMap') |
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989 elif hasattr(collections, 'ChainMap'): |
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990 # ChainMap only exists in 3.3+ |
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991 if _geqv_defined: |
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992 class ChainMap(collections.ChainMap, typing.MutableMapping[KT, VT], |
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993 metaclass=_ExtensionsGenericMeta, |
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994 extra=collections.ChainMap): |
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995 |
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996 __slots__ = () |
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997 |
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998 def __new__(cls, *args, **kwds): |
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999 if _geqv(cls, ChainMap): |
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1000 return collections.ChainMap(*args, **kwds) |
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1001 return _generic_new(collections.ChainMap, cls, *args, **kwds) |
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1002 else: |
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1003 class ChainMap(collections.ChainMap, typing.MutableMapping[KT, VT], |
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1004 metaclass=_ExtensionsGenericMeta, |
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1005 extra=collections.ChainMap): |
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1006 |
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1007 __slots__ = () |
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1008 |
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1009 def __new__(cls, *args, **kwds): |
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1010 if cls._gorg is ChainMap: |
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1011 return collections.ChainMap(*args, **kwds) |
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1012 return _generic_new(collections.ChainMap, cls, *args, **kwds) |
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1013 |
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1014 __all__.append('ChainMap') |
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1015 |
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1016 |
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1017 if _define_guard('AsyncGenerator'): |
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1018 class AsyncGenerator(AsyncIterator[T_co], typing.Generic[T_co, T_contra], |
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1019 metaclass=_ExtensionsGenericMeta, |
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1020 extra=collections_abc.AsyncGenerator): |
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1021 __slots__ = () |
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1022 |
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1023 |
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1024 if hasattr(typing, 'NewType'): |
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1025 NewType = typing.NewType |
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1026 else: |
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1027 def NewType(name, tp): |
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1028 """NewType creates simple unique types with almost zero |
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1029 runtime overhead. NewType(name, tp) is considered a subtype of tp |
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1030 by static type checkers. At runtime, NewType(name, tp) returns |
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1031 a dummy function that simply returns its argument. Usage:: |
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1032 |
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1033 UserId = NewType('UserId', int) |
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1034 |
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1035 def name_by_id(user_id: UserId) -> str: |
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1036 ... |
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1037 |
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1038 UserId('user') # Fails type check |
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1039 |
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1040 name_by_id(42) # Fails type check |
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1041 name_by_id(UserId(42)) # OK |
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1042 |
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1043 num = UserId(5) + 1 # type: int |
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1044 """ |
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1045 |
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1046 def new_type(x): |
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1047 return x |
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1048 |
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1049 new_type.__name__ = name |
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1050 new_type.__supertype__ = tp |
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1051 return new_type |
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1052 |
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1053 |
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1054 if hasattr(typing, 'Text'): |
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1055 Text = typing.Text |
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1056 else: |
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1057 Text = str |
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1058 |
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1059 |
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1060 if hasattr(typing, 'TYPE_CHECKING'): |
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1061 TYPE_CHECKING = typing.TYPE_CHECKING |
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1062 else: |
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1063 # Constant that's True when type checking, but False here. |
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1064 TYPE_CHECKING = False |
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1065 |
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1066 |
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1067 def _gorg(cls): |
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1068 """This function exists for compatibility with old typing versions.""" |
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1069 assert isinstance(cls, GenericMeta) |
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1070 if hasattr(cls, '_gorg'): |
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1071 return cls._gorg |
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1072 while cls.__origin__ is not None: |
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1073 cls = cls.__origin__ |
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1074 return cls |
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1075 |
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1076 |
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1077 if OLD_GENERICS: |
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1078 def _next_in_mro(cls): # noqa |
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1079 """This function exists for compatibility with old typing versions.""" |
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1080 next_in_mro = object |
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1081 for i, c in enumerate(cls.__mro__[:-1]): |
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1082 if isinstance(c, GenericMeta) and _gorg(c) is Generic: |
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1083 next_in_mro = cls.__mro__[i + 1] |
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1084 return next_in_mro |
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1085 |
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1086 |
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1087 _PROTO_WHITELIST = ['Callable', 'Awaitable', |
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1088 'Iterable', 'Iterator', 'AsyncIterable', 'AsyncIterator', |
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1089 'Hashable', 'Sized', 'Container', 'Collection', 'Reversible', |
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1090 'ContextManager', 'AsyncContextManager'] |
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1091 |
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1092 |
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1093 def _get_protocol_attrs(cls): |
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1094 attrs = set() |
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1095 for base in cls.__mro__[:-1]: # without object |
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1096 if base.__name__ in ('Protocol', 'Generic'): |
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1097 continue |
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1098 annotations = getattr(base, '__annotations__', {}) |
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1099 for attr in list(base.__dict__.keys()) + list(annotations.keys()): |
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1100 if (not attr.startswith('_abc_') and attr not in ( |
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1101 '__abstractmethods__', '__annotations__', '__weakref__', |
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1102 '_is_protocol', '_is_runtime_protocol', '__dict__', |
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1103 '__args__', '__slots__', |
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1104 '__next_in_mro__', '__parameters__', '__origin__', |
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1105 '__orig_bases__', '__extra__', '__tree_hash__', |
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1106 '__doc__', '__subclasshook__', '__init__', '__new__', |
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1107 '__module__', '_MutableMapping__marker', '_gorg')): |
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1108 attrs.add(attr) |
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1109 return attrs |
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1110 |
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1111 |
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1112 def _is_callable_members_only(cls): |
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1113 return all(callable(getattr(cls, attr, None)) for attr in _get_protocol_attrs(cls)) |
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1114 |
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1115 |
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1116 if hasattr(typing, 'Protocol'): |
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1117 Protocol = typing.Protocol |
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1118 elif HAVE_PROTOCOLS and not PEP_560: |
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1119 class _ProtocolMeta(GenericMeta): |
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1120 """Internal metaclass for Protocol. |
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1121 |
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1122 This exists so Protocol classes can be generic without deriving |
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1123 from Generic. |
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1124 """ |
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1125 if not OLD_GENERICS: |
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1126 def __new__(cls, name, bases, namespace, |
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1127 tvars=None, args=None, origin=None, extra=None, orig_bases=None): |
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1128 # This is just a version copied from GenericMeta.__new__ that |
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1129 # includes "Protocol" special treatment. (Comments removed for brevity.) |
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1130 assert extra is None # Protocols should not have extra |
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1131 if tvars is not None: |
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1132 assert origin is not None |
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1133 assert all(isinstance(t, TypeVar) for t in tvars), tvars |
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1134 else: |
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1135 tvars = _type_vars(bases) |
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1136 gvars = None |
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1137 for base in bases: |
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1138 if base is Generic: |
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1139 raise TypeError("Cannot inherit from plain Generic") |
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1140 if (isinstance(base, GenericMeta) and |
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1141 base.__origin__ in (Generic, Protocol)): |
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1142 if gvars is not None: |
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1143 raise TypeError( |
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1144 "Cannot inherit from Generic[...] or" |
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1145 " Protocol[...] multiple times.") |
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1146 gvars = base.__parameters__ |
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1147 if gvars is None: |
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1148 gvars = tvars |
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1149 else: |
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1150 tvarset = set(tvars) |
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1151 gvarset = set(gvars) |
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1152 if not tvarset <= gvarset: |
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1153 raise TypeError( |
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1154 "Some type variables (%s) " |
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1155 "are not listed in %s[%s]" % |
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1156 (", ".join(str(t) for t in tvars if t not in gvarset), |
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1157 "Generic" if any(b.__origin__ is Generic |
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1158 for b in bases) else "Protocol", |
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1159 ", ".join(str(g) for g in gvars))) |
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1160 tvars = gvars |
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1161 |
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1162 initial_bases = bases |
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1163 if (extra is not None and type(extra) is abc.ABCMeta and |
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1164 extra not in bases): |
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1165 bases = (extra,) + bases |
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1166 bases = tuple(_gorg(b) if isinstance(b, GenericMeta) else b |
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1167 for b in bases) |
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1168 if any(isinstance(b, GenericMeta) and b is not Generic for b in bases): |
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1169 bases = tuple(b for b in bases if b is not Generic) |
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1170 namespace.update({'__origin__': origin, '__extra__': extra}) |
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1171 self = super(GenericMeta, cls).__new__(cls, name, bases, namespace, |
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1172 _root=True) |
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1173 super(GenericMeta, self).__setattr__('_gorg', |
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1174 self if not origin else |
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1175 _gorg(origin)) |
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1176 self.__parameters__ = tvars |
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1177 self.__args__ = tuple(... if a is _TypingEllipsis else |
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1178 () if a is _TypingEmpty else |
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1179 a for a in args) if args else None |
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1180 self.__next_in_mro__ = _next_in_mro(self) |
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1181 if orig_bases is None: |
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1182 self.__orig_bases__ = initial_bases |
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1183 elif origin is not None: |
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1184 self._abc_registry = origin._abc_registry |
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1185 self._abc_cache = origin._abc_cache |
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1186 if hasattr(self, '_subs_tree'): |
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1187 self.__tree_hash__ = (hash(self._subs_tree()) if origin else |
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1188 super(GenericMeta, self).__hash__()) |
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1189 return self |
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1190 |
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1191 def __init__(cls, *args, **kwargs): |
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1192 super().__init__(*args, **kwargs) |
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1193 if not cls.__dict__.get('_is_protocol', None): |
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1194 cls._is_protocol = any(b is Protocol or |
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1195 isinstance(b, _ProtocolMeta) and |
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1196 b.__origin__ is Protocol |
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1197 for b in cls.__bases__) |
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1198 if cls._is_protocol: |
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1199 for base in cls.__mro__[1:]: |
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1200 if not (base in (object, Generic) or |
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1201 base.__module__ == 'collections.abc' and |
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1202 base.__name__ in _PROTO_WHITELIST or |
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1203 isinstance(base, TypingMeta) and base._is_protocol or |
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1204 isinstance(base, GenericMeta) and |
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1205 base.__origin__ is Generic): |
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1206 raise TypeError('Protocols can only inherit from other' |
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1207 ' protocols, got %r' % base) |
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1208 |
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1209 def _no_init(self, *args, **kwargs): |
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1210 if type(self)._is_protocol: |
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1211 raise TypeError('Protocols cannot be instantiated') |
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1212 cls.__init__ = _no_init |
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1213 |
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1214 def _proto_hook(other): |
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1215 if not cls.__dict__.get('_is_protocol', None): |
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1216 return NotImplemented |
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1217 if not isinstance(other, type): |
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1218 # Same error as for issubclass(1, int) |
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1219 raise TypeError('issubclass() arg 1 must be a class') |
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1220 for attr in _get_protocol_attrs(cls): |
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1221 for base in other.__mro__: |
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1222 if attr in base.__dict__: |
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1223 if base.__dict__[attr] is None: |
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1224 return NotImplemented |
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1225 break |
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1226 annotations = getattr(base, '__annotations__', {}) |
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1227 if (isinstance(annotations, typing.Mapping) and |
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1228 attr in annotations and |
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1229 isinstance(other, _ProtocolMeta) and |
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1230 other._is_protocol): |
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1231 break |
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1232 else: |
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1233 return NotImplemented |
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1234 return True |
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1235 if '__subclasshook__' not in cls.__dict__: |
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1236 cls.__subclasshook__ = _proto_hook |
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1237 |
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1238 def __instancecheck__(self, instance): |
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1239 # We need this method for situations where attributes are |
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1240 # assigned in __init__. |
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1241 if ((not getattr(self, '_is_protocol', False) or |
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1242 _is_callable_members_only(self)) and |
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1243 issubclass(instance.__class__, self)): |
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1244 return True |
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1245 if self._is_protocol: |
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1246 if all(hasattr(instance, attr) and |
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1247 (not callable(getattr(self, attr, None)) or |
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1248 getattr(instance, attr) is not None) |
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1249 for attr in _get_protocol_attrs(self)): |
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1250 return True |
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1251 return super(GenericMeta, self).__instancecheck__(instance) |
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1252 |
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1253 def __subclasscheck__(self, cls): |
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1254 if self.__origin__ is not None: |
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1255 if sys._getframe(1).f_globals['__name__'] not in ['abc', 'functools']: |
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1256 raise TypeError("Parameterized generics cannot be used with class " |
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1257 "or instance checks") |
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1258 return False |
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1259 if (self.__dict__.get('_is_protocol', None) and |
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1260 not self.__dict__.get('_is_runtime_protocol', None)): |
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1261 if sys._getframe(1).f_globals['__name__'] in ['abc', |
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1262 'functools', |
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1263 'typing']: |
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1264 return False |
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1265 raise TypeError("Instance and class checks can only be used with" |
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1266 " @runtime protocols") |
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1267 if (self.__dict__.get('_is_runtime_protocol', None) and |
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1268 not _is_callable_members_only(self)): |
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1269 if sys._getframe(1).f_globals['__name__'] in ['abc', |
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1270 'functools', |
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1271 'typing']: |
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1272 return super(GenericMeta, self).__subclasscheck__(cls) |
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1273 raise TypeError("Protocols with non-method members" |
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1274 " don't support issubclass()") |
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1275 return super(GenericMeta, self).__subclasscheck__(cls) |
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1276 |
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1277 if not OLD_GENERICS: |
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1278 @_tp_cache |
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1279 def __getitem__(self, params): |
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1280 # We also need to copy this from GenericMeta.__getitem__ to get |
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1281 # special treatment of "Protocol". (Comments removed for brevity.) |
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1282 if not isinstance(params, tuple): |
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1283 params = (params,) |
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1284 if not params and _gorg(self) is not Tuple: |
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1285 raise TypeError( |
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1286 "Parameter list to %s[...] cannot be empty" % self.__qualname__) |
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1287 msg = "Parameters to generic types must be types." |
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1288 params = tuple(_type_check(p, msg) for p in params) |
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1289 if self in (Generic, Protocol): |
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1290 if not all(isinstance(p, TypeVar) for p in params): |
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1291 raise TypeError( |
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1292 "Parameters to %r[...] must all be type variables" % self) |
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1293 if len(set(params)) != len(params): |
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1294 raise TypeError( |
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1295 "Parameters to %r[...] must all be unique" % self) |
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1296 tvars = params |
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1297 args = params |
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1298 elif self in (Tuple, Callable): |
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1299 tvars = _type_vars(params) |
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1300 args = params |
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1301 elif self.__origin__ in (Generic, Protocol): |
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1302 raise TypeError("Cannot subscript already-subscripted %s" % |
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1303 repr(self)) |
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1304 else: |
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1305 _check_generic(self, params) |
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1306 tvars = _type_vars(params) |
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1307 args = params |
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1308 |
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1309 prepend = (self,) if self.__origin__ is None else () |
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1310 return self.__class__(self.__name__, |
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1311 prepend + self.__bases__, |
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1312 _no_slots_copy(self.__dict__), |
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1313 tvars=tvars, |
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1314 args=args, |
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1315 origin=self, |
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1316 extra=self.__extra__, |
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1317 orig_bases=self.__orig_bases__) |
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1318 |
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1319 class Protocol(metaclass=_ProtocolMeta): |
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1320 """Base class for protocol classes. Protocol classes are defined as:: |
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1321 |
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1322 class Proto(Protocol): |
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1323 def meth(self) -> int: |
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1324 ... |
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1325 |
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1326 Such classes are primarily used with static type checkers that recognize |
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1327 structural subtyping (static duck-typing), for example:: |
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1328 |
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1329 class C: |
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1330 def meth(self) -> int: |
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1331 return 0 |
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1332 |
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1333 def func(x: Proto) -> int: |
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1334 return x.meth() |
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1335 |
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1336 func(C()) # Passes static type check |
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1337 |
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1338 See PEP 544 for details. Protocol classes decorated with |
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1339 @typing_extensions.runtime act as simple-minded runtime protocol that checks |
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1340 only the presence of given attributes, ignoring their type signatures. |
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1341 |
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1342 Protocol classes can be generic, they are defined as:: |
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1343 |
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1344 class GenProto({bases}): |
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1345 def meth(self) -> T: |
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1346 ... |
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1347 """ |
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1348 __slots__ = () |
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1349 _is_protocol = True |
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1350 |
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1351 def __new__(cls, *args, **kwds): |
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1352 if _gorg(cls) is Protocol: |
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1353 raise TypeError("Type Protocol cannot be instantiated; " |
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1354 "it can be used only as a base class") |
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1355 if OLD_GENERICS: |
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1356 return _generic_new(_next_in_mro(cls), cls, *args, **kwds) |
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1357 return _generic_new(cls.__next_in_mro__, cls, *args, **kwds) |
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1358 if Protocol.__doc__ is not None: |
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1359 Protocol.__doc__ = Protocol.__doc__.format(bases="Protocol, Generic[T]" if |
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1360 OLD_GENERICS else "Protocol[T]") |
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1361 |
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1362 |
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1363 elif PEP_560: |
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1364 from typing import _type_check, _GenericAlias, _collect_type_vars # noqa |
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1365 |
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1366 class _ProtocolMeta(abc.ABCMeta): |
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1367 # This metaclass is a bit unfortunate and exists only because of the lack |
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1368 # of __instancehook__. |
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1369 def __instancecheck__(cls, instance): |
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1370 # We need this method for situations where attributes are |
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1371 # assigned in __init__. |
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1372 if ((not getattr(cls, '_is_protocol', False) or |
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1373 _is_callable_members_only(cls)) and |
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1374 issubclass(instance.__class__, cls)): |
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1375 return True |
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1376 if cls._is_protocol: |
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1377 if all(hasattr(instance, attr) and |
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1378 (not callable(getattr(cls, attr, None)) or |
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1379 getattr(instance, attr) is not None) |
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1380 for attr in _get_protocol_attrs(cls)): |
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1381 return True |
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1382 return super().__instancecheck__(instance) |
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1383 |
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1384 class Protocol(metaclass=_ProtocolMeta): |
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1385 # There is quite a lot of overlapping code with typing.Generic. |
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1386 # Unfortunately it is hard to avoid this while these live in two different |
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1387 # modules. The duplicated code will be removed when Protocol is moved to typing. |
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1388 """Base class for protocol classes. Protocol classes are defined as:: |
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1389 |
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1390 class Proto(Protocol): |
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1391 def meth(self) -> int: |
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1392 ... |
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1393 |
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1394 Such classes are primarily used with static type checkers that recognize |
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1395 structural subtyping (static duck-typing), for example:: |
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1396 |
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1397 class C: |
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1398 def meth(self) -> int: |
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1399 return 0 |
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1400 |
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1401 def func(x: Proto) -> int: |
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1402 return x.meth() |
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1403 |
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1404 func(C()) # Passes static type check |
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1405 |
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1406 See PEP 544 for details. Protocol classes decorated with |
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1407 @typing_extensions.runtime act as simple-minded runtime protocol that checks |
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1408 only the presence of given attributes, ignoring their type signatures. |
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1409 |
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1410 Protocol classes can be generic, they are defined as:: |
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1411 |
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1412 class GenProto(Protocol[T]): |
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1413 def meth(self) -> T: |
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1414 ... |
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1415 """ |
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1416 __slots__ = () |
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1417 _is_protocol = True |
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1418 |
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1419 def __new__(cls, *args, **kwds): |
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1420 if cls is Protocol: |
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1421 raise TypeError("Type Protocol cannot be instantiated; " |
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1422 "it can only be used as a base class") |
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1423 return super().__new__(cls) |
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1424 |
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1425 @_tp_cache |
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1426 def __class_getitem__(cls, params): |
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1427 if not isinstance(params, tuple): |
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1428 params = (params,) |
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1429 if not params and cls is not Tuple: |
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1430 raise TypeError( |
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1431 "Parameter list to {}[...] cannot be empty".format(cls.__qualname__)) |
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1432 msg = "Parameters to generic types must be types." |
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1433 params = tuple(_type_check(p, msg) for p in params) |
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1434 if cls is Protocol: |
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1435 # Generic can only be subscripted with unique type variables. |
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1436 if not all(isinstance(p, TypeVar) for p in params): |
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1437 i = 0 |
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1438 while isinstance(params[i], TypeVar): |
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1439 i += 1 |
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1440 raise TypeError( |
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1441 "Parameters to Protocol[...] must all be type variables." |
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1442 " Parameter {} is {}".format(i + 1, params[i])) |
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1443 if len(set(params)) != len(params): |
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1444 raise TypeError( |
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1445 "Parameters to Protocol[...] must all be unique") |
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1446 else: |
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1447 # Subscripting a regular Generic subclass. |
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1448 _check_generic(cls, params) |
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1449 return _GenericAlias(cls, params) |
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1450 |
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1451 def __init_subclass__(cls, *args, **kwargs): |
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1452 tvars = [] |
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1453 if '__orig_bases__' in cls.__dict__: |
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1454 error = Generic in cls.__orig_bases__ |
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1455 else: |
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1456 error = Generic in cls.__bases__ |
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1457 if error: |
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1458 raise TypeError("Cannot inherit from plain Generic") |
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1459 if '__orig_bases__' in cls.__dict__: |
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1460 tvars = _collect_type_vars(cls.__orig_bases__) |
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1461 # Look for Generic[T1, ..., Tn] or Protocol[T1, ..., Tn]. |
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1462 # If found, tvars must be a subset of it. |
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1463 # If not found, tvars is it. |
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1464 # Also check for and reject plain Generic, |
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1465 # and reject multiple Generic[...] and/or Protocol[...]. |
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1466 gvars = None |
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1467 for base in cls.__orig_bases__: |
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1468 if (isinstance(base, _GenericAlias) and |
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1469 base.__origin__ in (Generic, Protocol)): |
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1470 # for error messages |
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1471 the_base = 'Generic' if base.__origin__ is Generic else 'Protocol' |
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1472 if gvars is not None: |
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1473 raise TypeError( |
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1474 "Cannot inherit from Generic[...]" |
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1475 " and/or Protocol[...] multiple types.") |
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1476 gvars = base.__parameters__ |
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1477 if gvars is None: |
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1478 gvars = tvars |
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1479 else: |
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1480 tvarset = set(tvars) |
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1481 gvarset = set(gvars) |
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1482 if not tvarset <= gvarset: |
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1483 s_vars = ', '.join(str(t) for t in tvars if t not in gvarset) |
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1484 s_args = ', '.join(str(g) for g in gvars) |
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1485 raise TypeError("Some type variables ({}) are" |
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1486 " not listed in {}[{}]".format(s_vars, |
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1487 the_base, s_args)) |
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1488 tvars = gvars |
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1489 cls.__parameters__ = tuple(tvars) |
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1490 |
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1491 # Determine if this is a protocol or a concrete subclass. |
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1492 if not cls.__dict__.get('_is_protocol', None): |
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1493 cls._is_protocol = any(b is Protocol for b in cls.__bases__) |
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1494 |
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1495 # Set (or override) the protocol subclass hook. |
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1496 def _proto_hook(other): |
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1497 if not cls.__dict__.get('_is_protocol', None): |
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1498 return NotImplemented |
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1499 if not getattr(cls, '_is_runtime_protocol', False): |
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1500 if sys._getframe(2).f_globals['__name__'] in ['abc', 'functools']: |
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1501 return NotImplemented |
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1502 raise TypeError("Instance and class checks can only be used with" |
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1503 " @runtime protocols") |
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1504 if not _is_callable_members_only(cls): |
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1505 if sys._getframe(2).f_globals['__name__'] in ['abc', 'functools']: |
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1506 return NotImplemented |
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1507 raise TypeError("Protocols with non-method members" |
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1508 " don't support issubclass()") |
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1509 if not isinstance(other, type): |
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1510 # Same error as for issubclass(1, int) |
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1511 raise TypeError('issubclass() arg 1 must be a class') |
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1512 for attr in _get_protocol_attrs(cls): |
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1513 for base in other.__mro__: |
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1514 if attr in base.__dict__: |
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1515 if base.__dict__[attr] is None: |
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1516 return NotImplemented |
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1517 break |
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1518 annotations = getattr(base, '__annotations__', {}) |
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1519 if (isinstance(annotations, typing.Mapping) and |
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1520 attr in annotations and |
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1521 isinstance(other, _ProtocolMeta) and |
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1522 other._is_protocol): |
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1523 break |
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1524 else: |
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1525 return NotImplemented |
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1526 return True |
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1527 if '__subclasshook__' not in cls.__dict__: |
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1528 cls.__subclasshook__ = _proto_hook |
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1529 |
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1530 # We have nothing more to do for non-protocols. |
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1531 if not cls._is_protocol: |
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1532 return |
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1533 |
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1534 # Check consistency of bases. |
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1535 for base in cls.__bases__: |
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1536 if not (base in (object, Generic) or |
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1537 base.__module__ == 'collections.abc' and |
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1538 base.__name__ in _PROTO_WHITELIST or |
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1539 isinstance(base, _ProtocolMeta) and base._is_protocol): |
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1540 raise TypeError('Protocols can only inherit from other' |
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1541 ' protocols, got %r' % base) |
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1542 |
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1543 def _no_init(self, *args, **kwargs): |
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1544 if type(self)._is_protocol: |
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1545 raise TypeError('Protocols cannot be instantiated') |
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1546 cls.__init__ = _no_init |
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1547 |
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1548 |
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1549 if hasattr(typing, 'runtime_checkable'): |
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1550 runtime_checkable = typing.runtime_checkable |
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1551 elif HAVE_PROTOCOLS: |
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1552 def runtime_checkable(cls): |
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1553 """Mark a protocol class as a runtime protocol, so that it |
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1554 can be used with isinstance() and issubclass(). Raise TypeError |
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1555 if applied to a non-protocol class. |
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|
1556 |
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|
1557 This allows a simple-minded structural check very similar to the |
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1558 one-offs in collections.abc such as Hashable. |
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|
1559 """ |
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1560 if not isinstance(cls, _ProtocolMeta) or not cls._is_protocol: |
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|
1561 raise TypeError('@runtime_checkable can be only applied to protocol classes,' |
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1562 ' got %r' % cls) |
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1563 cls._is_runtime_protocol = True |
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1564 return cls |
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|
1565 |
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|
1566 |
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|
1567 if HAVE_PROTOCOLS: |
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1568 # Exists for backwards compatibility. |
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|
1569 runtime = runtime_checkable |
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|
1570 |
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|
1571 |
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|
1572 if sys.version_info[:2] >= (3, 9): |
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|
1573 # The standard library TypedDict in Python 3.8 does not store runtime information |
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|
1574 # about which (if any) keys are optional. See https://bugs.python.org/issue38834 |
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|
1575 TypedDict = typing.TypedDict |
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1576 else: |
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|
1577 def _check_fails(cls, other): |
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1578 try: |
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|
1579 if sys._getframe(1).f_globals['__name__'] not in ['abc', |
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|
1580 'functools', |
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|
1581 'typing']: |
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|
1582 # Typed dicts are only for static structural subtyping. |
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|
1583 raise TypeError('TypedDict does not support instance and class checks') |
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1584 except (AttributeError, ValueError): |
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1585 pass |
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|
1586 return False |
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|
1587 |
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|
1588 def _dict_new(*args, **kwargs): |
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1589 if not args: |
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|
1590 raise TypeError('TypedDict.__new__(): not enough arguments') |
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|
1591 _, args = args[0], args[1:] # allow the "cls" keyword be passed |
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|
1592 return dict(*args, **kwargs) |
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1593 |
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1594 _dict_new.__text_signature__ = '($cls, _typename, _fields=None, /, **kwargs)' |
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1595 |
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|
1596 def _typeddict_new(*args, total=True, **kwargs): |
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1597 if not args: |
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1598 raise TypeError('TypedDict.__new__(): not enough arguments') |
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1599 _, args = args[0], args[1:] # allow the "cls" keyword be passed |
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1600 if args: |
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1601 typename, args = args[0], args[1:] # allow the "_typename" keyword be passed |
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1602 elif '_typename' in kwargs: |
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1603 typename = kwargs.pop('_typename') |
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1604 import warnings |
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1605 warnings.warn("Passing '_typename' as keyword argument is deprecated", |
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1606 DeprecationWarning, stacklevel=2) |
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1607 else: |
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1608 raise TypeError("TypedDict.__new__() missing 1 required positional " |
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1609 "argument: '_typename'") |
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1610 if args: |
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1611 try: |
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1612 fields, = args # allow the "_fields" keyword be passed |
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1613 except ValueError: |
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1614 raise TypeError('TypedDict.__new__() takes from 2 to 3 ' |
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1615 'positional arguments but {} ' |
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1616 'were given'.format(len(args) + 2)) |
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1617 elif '_fields' in kwargs and len(kwargs) == 1: |
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1618 fields = kwargs.pop('_fields') |
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1619 import warnings |
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1620 warnings.warn("Passing '_fields' as keyword argument is deprecated", |
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1621 DeprecationWarning, stacklevel=2) |
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1622 else: |
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1623 fields = None |
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1624 |
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1625 if fields is None: |
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1626 fields = kwargs |
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1627 elif kwargs: |
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1628 raise TypeError("TypedDict takes either a dict or keyword arguments," |
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1629 " but not both") |
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1630 |
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1631 ns = {'__annotations__': dict(fields), '__total__': total} |
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1632 try: |
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1633 # Setting correct module is necessary to make typed dict classes pickleable. |
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1634 ns['__module__'] = sys._getframe(1).f_globals.get('__name__', '__main__') |
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1635 except (AttributeError, ValueError): |
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1636 pass |
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1637 |
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1638 return _TypedDictMeta(typename, (), ns) |
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1639 |
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1640 _typeddict_new.__text_signature__ = ('($cls, _typename, _fields=None,' |
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1641 ' /, *, total=True, **kwargs)') |
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1642 |
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1643 class _TypedDictMeta(type): |
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1644 def __new__(cls, name, bases, ns, total=True): |
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1645 # Create new typed dict class object. |
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1646 # This method is called directly when TypedDict is subclassed, |
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1647 # or via _typeddict_new when TypedDict is instantiated. This way |
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1648 # TypedDict supports all three syntaxes described in its docstring. |
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1649 # Subclasses and instances of TypedDict return actual dictionaries |
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1650 # via _dict_new. |
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1651 ns['__new__'] = _typeddict_new if name == 'TypedDict' else _dict_new |
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1652 tp_dict = super(_TypedDictMeta, cls).__new__(cls, name, (dict,), ns) |
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1653 |
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1654 annotations = {} |
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1655 own_annotations = ns.get('__annotations__', {}) |
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1656 own_annotation_keys = set(own_annotations.keys()) |
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1657 msg = "TypedDict('Name', {f0: t0, f1: t1, ...}); each t must be a type" |
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1658 own_annotations = { |
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1659 n: typing._type_check(tp, msg) for n, tp in own_annotations.items() |
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1660 } |
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1661 required_keys = set() |
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1662 optional_keys = set() |
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1663 |
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1664 for base in bases: |
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1665 annotations.update(base.__dict__.get('__annotations__', {})) |
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1666 required_keys.update(base.__dict__.get('__required_keys__', ())) |
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1667 optional_keys.update(base.__dict__.get('__optional_keys__', ())) |
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1668 |
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1669 annotations.update(own_annotations) |
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1670 if total: |
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1671 required_keys.update(own_annotation_keys) |
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1672 else: |
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1673 optional_keys.update(own_annotation_keys) |
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1674 |
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1675 tp_dict.__annotations__ = annotations |
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1676 tp_dict.__required_keys__ = frozenset(required_keys) |
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1677 tp_dict.__optional_keys__ = frozenset(optional_keys) |
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1678 if not hasattr(tp_dict, '__total__'): |
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1679 tp_dict.__total__ = total |
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1680 return tp_dict |
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1681 |
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1682 __instancecheck__ = __subclasscheck__ = _check_fails |
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1683 |
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1684 TypedDict = _TypedDictMeta('TypedDict', (dict,), {}) |
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1685 TypedDict.__module__ = __name__ |
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1686 TypedDict.__doc__ = \ |
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1687 """A simple typed name space. At runtime it is equivalent to a plain dict. |
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1688 |
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1689 TypedDict creates a dictionary type that expects all of its |
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1690 instances to have a certain set of keys, with each key |
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1691 associated with a value of a consistent type. This expectation |
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1692 is not checked at runtime but is only enforced by type checkers. |
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1693 Usage:: |
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1694 |
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1695 class Point2D(TypedDict): |
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1696 x: int |
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1697 y: int |
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1698 label: str |
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1699 |
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1700 a: Point2D = {'x': 1, 'y': 2, 'label': 'good'} # OK |
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1701 b: Point2D = {'z': 3, 'label': 'bad'} # Fails type check |
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1702 |
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1703 assert Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first') |
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1704 |
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1705 The type info can be accessed via the Point2D.__annotations__ dict, and |
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1706 the Point2D.__required_keys__ and Point2D.__optional_keys__ frozensets. |
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1707 TypedDict supports two additional equivalent forms:: |
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1708 |
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1709 Point2D = TypedDict('Point2D', x=int, y=int, label=str) |
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1710 Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str}) |
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1711 |
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1712 The class syntax is only supported in Python 3.6+, while two other |
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1713 syntax forms work for Python 2.7 and 3.2+ |
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1714 """ |
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1715 |
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1716 |
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1717 # Python 3.9+ has PEP 593 (Annotated and modified get_type_hints) |
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1718 if hasattr(typing, 'Annotated'): |
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1719 Annotated = typing.Annotated |
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1720 get_type_hints = typing.get_type_hints |
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1721 # Not exported and not a public API, but needed for get_origin() and get_args() |
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1722 # to work. |
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1723 _AnnotatedAlias = typing._AnnotatedAlias |
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1724 elif PEP_560: |
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1725 class _AnnotatedAlias(typing._GenericAlias, _root=True): |
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1726 """Runtime representation of an annotated type. |
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1727 |
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1728 At its core 'Annotated[t, dec1, dec2, ...]' is an alias for the type 't' |
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1729 with extra annotations. The alias behaves like a normal typing alias, |
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1730 instantiating is the same as instantiating the underlying type, binding |
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1731 it to types is also the same. |
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1732 """ |
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1733 def __init__(self, origin, metadata): |
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1734 if isinstance(origin, _AnnotatedAlias): |
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1735 metadata = origin.__metadata__ + metadata |
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1736 origin = origin.__origin__ |
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1737 super().__init__(origin, origin) |
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1738 self.__metadata__ = metadata |
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1739 |
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1740 def copy_with(self, params): |
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1741 assert len(params) == 1 |
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1742 new_type = params[0] |
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1743 return _AnnotatedAlias(new_type, self.__metadata__) |
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1744 |
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1745 def __repr__(self): |
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1746 return "typing_extensions.Annotated[{}, {}]".format( |
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1747 typing._type_repr(self.__origin__), |
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1748 ", ".join(repr(a) for a in self.__metadata__) |
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1749 ) |
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1750 |
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1751 def __reduce__(self): |
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1752 return operator.getitem, ( |
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1753 Annotated, (self.__origin__,) + self.__metadata__ |
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1754 ) |
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1755 |
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1756 def __eq__(self, other): |
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1757 if not isinstance(other, _AnnotatedAlias): |
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1758 return NotImplemented |
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1759 if self.__origin__ != other.__origin__: |
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1760 return False |
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1761 return self.__metadata__ == other.__metadata__ |
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1762 |
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1763 def __hash__(self): |
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1764 return hash((self.__origin__, self.__metadata__)) |
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1765 |
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1766 class Annotated: |
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1767 """Add context specific metadata to a type. |
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1768 |
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1769 Example: Annotated[int, runtime_check.Unsigned] indicates to the |
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1770 hypothetical runtime_check module that this type is an unsigned int. |
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1771 Every other consumer of this type can ignore this metadata and treat |
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1772 this type as int. |
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1773 |
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1774 The first argument to Annotated must be a valid type (and will be in |
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1775 the __origin__ field), the remaining arguments are kept as a tuple in |
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1776 the __extra__ field. |
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1777 |
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1778 Details: |
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1779 |
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1780 - It's an error to call `Annotated` with less than two arguments. |
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1781 - Nested Annotated are flattened:: |
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1782 |
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1783 Annotated[Annotated[T, Ann1, Ann2], Ann3] == Annotated[T, Ann1, Ann2, Ann3] |
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1784 |
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1785 - Instantiating an annotated type is equivalent to instantiating the |
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1786 underlying type:: |
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1787 |
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1788 Annotated[C, Ann1](5) == C(5) |
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1789 |
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1790 - Annotated can be used as a generic type alias:: |
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1791 |
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1792 Optimized = Annotated[T, runtime.Optimize()] |
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1793 Optimized[int] == Annotated[int, runtime.Optimize()] |
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1794 |
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1795 OptimizedList = Annotated[List[T], runtime.Optimize()] |
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1796 OptimizedList[int] == Annotated[List[int], runtime.Optimize()] |
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1797 """ |
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1798 |
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1799 __slots__ = () |
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1800 |
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1801 def __new__(cls, *args, **kwargs): |
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1802 raise TypeError("Type Annotated cannot be instantiated.") |
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1803 |
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1804 @_tp_cache |
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1805 def __class_getitem__(cls, params): |
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1806 if not isinstance(params, tuple) or len(params) < 2: |
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1807 raise TypeError("Annotated[...] should be used " |
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1808 "with at least two arguments (a type and an " |
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1809 "annotation).") |
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1810 msg = "Annotated[t, ...]: t must be a type." |
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1811 origin = typing._type_check(params[0], msg) |
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1812 metadata = tuple(params[1:]) |
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1813 return _AnnotatedAlias(origin, metadata) |
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1814 |
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1815 def __init_subclass__(cls, *args, **kwargs): |
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1816 raise TypeError( |
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1817 "Cannot subclass {}.Annotated".format(cls.__module__) |
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1818 ) |
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1819 |
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1820 def _strip_annotations(t): |
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1821 """Strips the annotations from a given type. |
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1822 """ |
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1823 if isinstance(t, _AnnotatedAlias): |
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1824 return _strip_annotations(t.__origin__) |
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1825 if isinstance(t, typing._GenericAlias): |
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1826 stripped_args = tuple(_strip_annotations(a) for a in t.__args__) |
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1827 if stripped_args == t.__args__: |
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1828 return t |
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1829 res = t.copy_with(stripped_args) |
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1830 res._special = t._special |
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1831 return res |
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1832 return t |
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1833 |
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1834 def get_type_hints(obj, globalns=None, localns=None, include_extras=False): |
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1835 """Return type hints for an object. |
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1836 |
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1837 This is often the same as obj.__annotations__, but it handles |
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1838 forward references encoded as string literals, adds Optional[t] if a |
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1839 default value equal to None is set and recursively replaces all |
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1840 'Annotated[T, ...]' with 'T' (unless 'include_extras=True'). |
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1841 |
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1842 The argument may be a module, class, method, or function. The annotations |
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1843 are returned as a dictionary. For classes, annotations include also |
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1844 inherited members. |
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1845 |
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1846 TypeError is raised if the argument is not of a type that can contain |
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1847 annotations, and an empty dictionary is returned if no annotations are |
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1848 present. |
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1849 |
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1850 BEWARE -- the behavior of globalns and localns is counterintuitive |
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1851 (unless you are familiar with how eval() and exec() work). The |
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1852 search order is locals first, then globals. |
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1853 |
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1854 - If no dict arguments are passed, an attempt is made to use the |
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1855 globals from obj (or the respective module's globals for classes), |
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1856 and these are also used as the locals. If the object does not appear |
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1857 to have globals, an empty dictionary is used. |
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1858 |
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1859 - If one dict argument is passed, it is used for both globals and |
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1860 locals. |
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1861 |
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1862 - If two dict arguments are passed, they specify globals and |
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1863 locals, respectively. |
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1864 """ |
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1865 hint = typing.get_type_hints(obj, globalns=globalns, localns=localns) |
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1866 if include_extras: |
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1867 return hint |
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1868 return {k: _strip_annotations(t) for k, t in hint.items()} |
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1869 |
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1870 elif HAVE_ANNOTATED: |
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1871 |
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1872 def _is_dunder(name): |
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1873 """Returns True if name is a __dunder_variable_name__.""" |
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1874 return len(name) > 4 and name.startswith('__') and name.endswith('__') |
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1875 |
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1876 # Prior to Python 3.7 types did not have `copy_with`. A lot of the equality |
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1877 # checks, argument expansion etc. are done on the _subs_tre. As a result we |
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1878 # can't provide a get_type_hints function that strips out annotations. |
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1879 |
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1880 class AnnotatedMeta(typing.GenericMeta): |
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1881 """Metaclass for Annotated""" |
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1882 |
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1883 def __new__(cls, name, bases, namespace, **kwargs): |
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1884 if any(b is not object for b in bases): |
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1885 raise TypeError("Cannot subclass " + str(Annotated)) |
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1886 return super().__new__(cls, name, bases, namespace, **kwargs) |
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1887 |
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1888 @property |
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1889 def __metadata__(self): |
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1890 return self._subs_tree()[2] |
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1891 |
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1892 def _tree_repr(self, tree): |
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1893 cls, origin, metadata = tree |
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1894 if not isinstance(origin, tuple): |
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1895 tp_repr = typing._type_repr(origin) |
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1896 else: |
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1897 tp_repr = origin[0]._tree_repr(origin) |
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1898 metadata_reprs = ", ".join(repr(arg) for arg in metadata) |
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1899 return '%s[%s, %s]' % (cls, tp_repr, metadata_reprs) |
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1900 |
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1901 def _subs_tree(self, tvars=None, args=None): # noqa |
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1902 if self is Annotated: |
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1903 return Annotated |
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1904 res = super()._subs_tree(tvars=tvars, args=args) |
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1905 # Flatten nested Annotated |
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1906 if isinstance(res[1], tuple) and res[1][0] is Annotated: |
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1907 sub_tp = res[1][1] |
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1908 sub_annot = res[1][2] |
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1909 return (Annotated, sub_tp, sub_annot + res[2]) |
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1910 return res |
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1911 |
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1912 def _get_cons(self): |
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1913 """Return the class used to create instance of this type.""" |
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1914 if self.__origin__ is None: |
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1915 raise TypeError("Cannot get the underlying type of a " |
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1916 "non-specialized Annotated type.") |
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1917 tree = self._subs_tree() |
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1918 while isinstance(tree, tuple) and tree[0] is Annotated: |
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1919 tree = tree[1] |
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1920 if isinstance(tree, tuple): |
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1921 return tree[0] |
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1922 else: |
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1923 return tree |
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1924 |
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1925 @_tp_cache |
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1926 def __getitem__(self, params): |
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1927 if not isinstance(params, tuple): |
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1928 params = (params,) |
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1929 if self.__origin__ is not None: # specializing an instantiated type |
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1930 return super().__getitem__(params) |
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1931 elif not isinstance(params, tuple) or len(params) < 2: |
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1932 raise TypeError("Annotated[...] should be instantiated " |
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1933 "with at least two arguments (a type and an " |
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1934 "annotation).") |
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1935 else: |
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1936 msg = "Annotated[t, ...]: t must be a type." |
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1937 tp = typing._type_check(params[0], msg) |
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1938 metadata = tuple(params[1:]) |
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1939 return self.__class__( |
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1940 self.__name__, |
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1941 self.__bases__, |
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1942 _no_slots_copy(self.__dict__), |
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1943 tvars=_type_vars((tp,)), |
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1944 # Metadata is a tuple so it won't be touched by _replace_args et al. |
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1945 args=(tp, metadata), |
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1946 origin=self, |
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1947 ) |
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1948 |
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1949 def __call__(self, *args, **kwargs): |
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1950 cons = self._get_cons() |
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1951 result = cons(*args, **kwargs) |
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1952 try: |
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1953 result.__orig_class__ = self |
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1954 except AttributeError: |
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1955 pass |
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1956 return result |
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1957 |
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1958 def __getattr__(self, attr): |
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1959 # For simplicity we just don't relay all dunder names |
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1960 if self.__origin__ is not None and not _is_dunder(attr): |
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1961 return getattr(self._get_cons(), attr) |
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1962 raise AttributeError(attr) |
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1963 |
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1964 def __setattr__(self, attr, value): |
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1965 if _is_dunder(attr) or attr.startswith('_abc_'): |
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1966 super().__setattr__(attr, value) |
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1967 elif self.__origin__ is None: |
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1968 raise AttributeError(attr) |
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1969 else: |
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1970 setattr(self._get_cons(), attr, value) |
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1971 |
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1972 def __instancecheck__(self, obj): |
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1973 raise TypeError("Annotated cannot be used with isinstance().") |
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1974 |
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1975 def __subclasscheck__(self, cls): |
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1976 raise TypeError("Annotated cannot be used with issubclass().") |
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1977 |
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1978 class Annotated(metaclass=AnnotatedMeta): |
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1979 """Add context specific metadata to a type. |
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1980 |
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1981 Example: Annotated[int, runtime_check.Unsigned] indicates to the |
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1982 hypothetical runtime_check module that this type is an unsigned int. |
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1983 Every other consumer of this type can ignore this metadata and treat |
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1984 this type as int. |
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1985 |
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1986 The first argument to Annotated must be a valid type, the remaining |
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1987 arguments are kept as a tuple in the __metadata__ field. |
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1988 |
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1989 Details: |
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1990 |
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1991 - It's an error to call `Annotated` with less than two arguments. |
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1992 - Nested Annotated are flattened:: |
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1993 |
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1994 Annotated[Annotated[T, Ann1, Ann2], Ann3] == Annotated[T, Ann1, Ann2, Ann3] |
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1995 |
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1996 - Instantiating an annotated type is equivalent to instantiating the |
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1997 underlying type:: |
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1998 |
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1999 Annotated[C, Ann1](5) == C(5) |
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2000 |
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2001 - Annotated can be used as a generic type alias:: |
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2002 |
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2003 Optimized = Annotated[T, runtime.Optimize()] |
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2004 Optimized[int] == Annotated[int, runtime.Optimize()] |
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2005 |
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2006 OptimizedList = Annotated[List[T], runtime.Optimize()] |
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2007 OptimizedList[int] == Annotated[List[int], runtime.Optimize()] |
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2008 """ |
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2009 |
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2010 # Python 3.8 has get_origin() and get_args() but those implementations aren't |
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2011 # Annotated-aware, so we can't use those, only Python 3.9 versions will do. |
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2012 if sys.version_info[:2] >= (3, 9): |
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2013 get_origin = typing.get_origin |
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2014 get_args = typing.get_args |
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2015 elif PEP_560: |
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2016 from typing import _GenericAlias # noqa |
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2017 |
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2018 def get_origin(tp): |
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2019 """Get the unsubscripted version of a type. |
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2020 |
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2021 This supports generic types, Callable, Tuple, Union, Literal, Final, ClassVar |
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2022 and Annotated. Return None for unsupported types. Examples:: |
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2023 |
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2024 get_origin(Literal[42]) is Literal |
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2025 get_origin(int) is None |
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2026 get_origin(ClassVar[int]) is ClassVar |
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2027 get_origin(Generic) is Generic |
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2028 get_origin(Generic[T]) is Generic |
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2029 get_origin(Union[T, int]) is Union |
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2030 get_origin(List[Tuple[T, T]][int]) == list |
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2031 """ |
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2032 if isinstance(tp, _AnnotatedAlias): |
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2033 return Annotated |
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2034 if isinstance(tp, _GenericAlias): |
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2035 return tp.__origin__ |
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2036 if tp is Generic: |
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2037 return Generic |
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2038 return None |
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2039 |
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2040 def get_args(tp): |
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2041 """Get type arguments with all substitutions performed. |
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2042 |
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2043 For unions, basic simplifications used by Union constructor are performed. |
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2044 Examples:: |
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2045 get_args(Dict[str, int]) == (str, int) |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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2046 get_args(int) == () |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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2047 get_args(Union[int, Union[T, int], str][int]) == (int, str) |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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2048 get_args(Union[int, Tuple[T, int]][str]) == (int, Tuple[str, int]) |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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2049 get_args(Callable[[], T][int]) == ([], int) |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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2050 """ |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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2051 if isinstance(tp, _AnnotatedAlias): |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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2052 return (tp.__origin__,) + tp.__metadata__ |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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2053 if isinstance(tp, _GenericAlias): |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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2054 res = tp.__args__ |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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2055 if get_origin(tp) is collections.abc.Callable and res[0] is not Ellipsis: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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2056 res = (list(res[:-1]), res[-1]) |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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2057 return res |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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2058 return () |