Mercurial > repos > shellac > guppy_basecaller

annotate env/lib/python3.7/site-packages/mypy_extensions.py @ 0:26e78fe6e8c4 draft

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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
author shellac
date Sat, 02 May 2020 07:14:21 -0400
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1 """Defines experimental extensions to the standard "typing" module that are
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2 supported by the mypy typechecker.
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3
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4 Example usage:
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5 from mypy_extensions import TypedDict
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6 """
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7
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8 from typing import Any
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9
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10 # NOTE: This module must support Python 2.7 in addition to Python 3.x
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11
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12 import sys
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13 # _type_check is NOT a part of public typing API, it is used here only to mimic
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14 # the (convenient) behavior of types provided by typing module.
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15 from typing import _type_check # type: ignore
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16
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17
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18 def _check_fails(cls, other):
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19 try:
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20 if sys._getframe(1).f_globals['__name__'] not in ['abc', 'functools', 'typing']:
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21 # Typed dicts are only for static structural subtyping.
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22 raise TypeError('TypedDict does not support instance and class checks')
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23 except (AttributeError, ValueError):
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24 pass
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25 return False
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26
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27
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28 def _dict_new(cls, *args, **kwargs):
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29 return dict(*args, **kwargs)
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30
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31
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32 def _typeddict_new(cls, _typename, _fields=None, **kwargs):
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33 total = kwargs.pop('total', True)
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34 if _fields is None:
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35 _fields = kwargs
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36 elif kwargs:
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37 raise TypeError("TypedDict takes either a dict or keyword arguments,"
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38 " but not both")
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39
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40 ns = {'__annotations__': dict(_fields), '__total__': total}
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41 try:
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42 # Setting correct module is necessary to make typed dict classes pickleable.
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43 ns['__module__'] = sys._getframe(1).f_globals.get('__name__', '__main__')
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44 except (AttributeError, ValueError):
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45 pass
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46
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47 return _TypedDictMeta(_typename, (), ns)
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48
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49
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50 class _TypedDictMeta(type):
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51 def __new__(cls, name, bases, ns, total=True):
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52 # Create new typed dict class object.
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53 # This method is called directly when TypedDict is subclassed,
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54 # or via _typeddict_new when TypedDict is instantiated. This way
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55 # TypedDict supports all three syntaxes described in its docstring.
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56 # Subclasses and instances of TypedDict return actual dictionaries
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57 # via _dict_new.
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58 ns['__new__'] = _typeddict_new if name == 'TypedDict' else _dict_new
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59 tp_dict = super(_TypedDictMeta, cls).__new__(cls, name, (dict,), ns)
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60
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61 anns = ns.get('__annotations__', {})
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62 msg = "TypedDict('Name', {f0: t0, f1: t1, ...}); each t must be a type"
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63 anns = {n: _type_check(tp, msg) for n, tp in anns.items()}
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64 for base in bases:
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65 anns.update(base.__dict__.get('__annotations__', {}))
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66 tp_dict.__annotations__ = anns
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67 if not hasattr(tp_dict, '__total__'):
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68 tp_dict.__total__ = total
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69 return tp_dict
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70
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71 __instancecheck__ = __subclasscheck__ = _check_fails
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72
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73
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74 TypedDict = _TypedDictMeta('TypedDict', (dict,), {})
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75 TypedDict.__module__ = __name__
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76 TypedDict.__doc__ = \
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77 """A simple typed name space. At runtime it is equivalent to a plain dict.
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78
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79 TypedDict creates a dictionary type that expects all of its
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80 instances to have a certain set of keys, with each key
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81 associated with a value of a consistent type. This expectation
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82 is not checked at runtime but is only enforced by typecheckers.
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83 Usage::
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84
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85 Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str})
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86 a: Point2D = {'x': 1, 'y': 2, 'label': 'good'} # OK
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87 b: Point2D = {'z': 3, 'label': 'bad'} # Fails type check
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88 assert Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first')
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89
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90 The type info could be accessed via Point2D.__annotations__. TypedDict
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91 supports two additional equivalent forms::
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92
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93 Point2D = TypedDict('Point2D', x=int, y=int, label=str)
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94
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95 class Point2D(TypedDict):
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96 x: int
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97 y: int
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98 label: str
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99
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100 The latter syntax is only supported in Python 3.6+, while two other
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101 syntax forms work for Python 2.7 and 3.2+
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102 """
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103
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104 # Argument constructors for making more-detailed Callables. These all just
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105 # return their type argument, to make them complete noops in terms of the
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106 # `typing` module.
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107
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108
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109 def Arg(type=Any, name=None):
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110 """A normal positional argument"""
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111 return type
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112
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113
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114 def DefaultArg(type=Any, name=None):
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115 """A positional argument with a default value"""
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116 return type
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117
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118
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119 def NamedArg(type=Any, name=None):
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120 """A keyword-only argument"""
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121 return type
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122
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123
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124 def DefaultNamedArg(type=Any, name=None):
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125 """A keyword-only argument with a default value"""
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126 return type
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127
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128
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129 def VarArg(type=Any):
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130 """A *args-style variadic positional argument"""
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131 return type
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132
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133
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134 def KwArg(type=Any):
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135 """A **kwargs-style variadic keyword argument"""
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136 return type
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137
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138
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139 # Return type that indicates a function does not return
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140 class NoReturn: pass
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141
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142
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143 def trait(cls):
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144 return cls
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145
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146
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147 def mypyc_attr(*attrs, **kwattrs):
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148 return lambda x: x
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149
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150
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151 # TODO: We may want to try to properly apply this to any type
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152 # variables left over...
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153 class _FlexibleAliasClsApplied:
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154 def __init__(self, val):
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155 self.val = val
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156
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157 def __getitem__(self, args):
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158 return self.val
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159
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160
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161 class _FlexibleAliasCls:
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162 def __getitem__(self, args):
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163 return _FlexibleAliasClsApplied(args[-1])
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164
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165
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166 FlexibleAlias = _FlexibleAliasCls()