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annotate planemo/lib/python3.7/site-packages/decorator.py @ 0:d30785e31577 draft

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"planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
author guerler
date Fri, 31 Jul 2020 00:18:57 -0400
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1 # ######################### LICENSE ############################ #
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2
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3 # Copyright (c) 2005-2018, Michele Simionato
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4 # All rights reserved.
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5
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6 # Redistribution and use in source and binary forms, with or without
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7 # modification, are permitted provided that the following conditions are
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8 # met:
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9
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10 # Redistributions of source code must retain the above copyright
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11 # notice, this list of conditions and the following disclaimer.
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12 # Redistributions in bytecode form must reproduce the above copyright
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13 # notice, this list of conditions and the following disclaimer in
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14 # the documentation and/or other materials provided with the
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15 # distribution.
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16
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17 # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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18 # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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19 # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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20 # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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21 # HOLDERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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22 # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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23 # BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
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24 # OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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25 # ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR
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26 # TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE
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27 # USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
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28 # DAMAGE.
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29
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30 """
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31 Decorator module, see http://pypi.python.org/pypi/decorator
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32 for the documentation.
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33 """
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34 from __future__ import print_function
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35
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36 import re
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37 import sys
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38 import inspect
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39 import operator
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40 import itertools
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41 import collections
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42
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43 __version__ = '4.4.2'
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44
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45 if sys.version_info >= (3,):
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46 from inspect import getfullargspec
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47
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48 def get_init(cls):
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49 return cls.__init__
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50 else:
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51 FullArgSpec = collections.namedtuple(
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52 'FullArgSpec', 'args varargs varkw defaults '
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53 'kwonlyargs kwonlydefaults annotations')
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54
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55 def getfullargspec(f):
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56 "A quick and dirty replacement for getfullargspec for Python 2.X"
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57 return FullArgSpec._make(inspect.getargspec(f) + ([], None, {}))
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58
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59 def get_init(cls):
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60 return cls.__init__.__func__
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61
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62 try:
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63 iscoroutinefunction = inspect.iscoroutinefunction
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64 except AttributeError:
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65 # let's assume there are no coroutine functions in old Python
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66 def iscoroutinefunction(f):
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67 return False
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68 try:
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69 from inspect import isgeneratorfunction
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70 except ImportError:
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71 # assume no generator function in old Python versions
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72 def isgeneratorfunction(caller):
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73 return False
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74
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75
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76 DEF = re.compile(r'\s*def\s*([_\w][_\w\d]*)\s*\(')
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77
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78
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79 # basic functionality
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80 class FunctionMaker(object):
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81 """
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82 An object with the ability to create functions with a given signature.
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83 It has attributes name, doc, module, signature, defaults, dict and
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84 methods update and make.
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85 """
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86
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87 # Atomic get-and-increment provided by the GIL
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88 _compile_count = itertools.count()
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89
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90 # make pylint happy
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91 args = varargs = varkw = defaults = kwonlyargs = kwonlydefaults = ()
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92
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93 def __init__(self, func=None, name=None, signature=None,
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94 defaults=None, doc=None, module=None, funcdict=None):
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95 self.shortsignature = signature
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96 if func:
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97 # func can be a class or a callable, but not an instance method
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98 self.name = func.__name__
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99 if self.name == '<lambda>': # small hack for lambda functions
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100 self.name = '_lambda_'
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101 self.doc = func.__doc__
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102 self.module = func.__module__
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103 if inspect.isfunction(func):
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104 argspec = getfullargspec(func)
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105 self.annotations = getattr(func, '__annotations__', {})
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106 for a in ('args', 'varargs', 'varkw', 'defaults', 'kwonlyargs',
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107 'kwonlydefaults'):
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108 setattr(self, a, getattr(argspec, a))
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109 for i, arg in enumerate(self.args):
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110 setattr(self, 'arg%d' % i, arg)
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111 allargs = list(self.args)
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112 allshortargs = list(self.args)
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113 if self.varargs:
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114 allargs.append('*' + self.varargs)
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115 allshortargs.append('*' + self.varargs)
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116 elif self.kwonlyargs:
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117 allargs.append('*') # single star syntax
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118 for a in self.kwonlyargs:
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119 allargs.append('%s=None' % a)
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120 allshortargs.append('%s=%s' % (a, a))
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121 if self.varkw:
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122 allargs.append('**' + self.varkw)
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123 allshortargs.append('**' + self.varkw)
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124 self.signature = ', '.join(allargs)
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125 self.shortsignature = ', '.join(allshortargs)
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126 self.dict = func.__dict__.copy()
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127 # func=None happens when decorating a caller
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128 if name:
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129 self.name = name
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130 if signature is not None:
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131 self.signature = signature
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132 if defaults:
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133 self.defaults = defaults
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134 if doc:
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135 self.doc = doc
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136 if module:
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137 self.module = module
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138 if funcdict:
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139 self.dict = funcdict
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140 # check existence required attributes
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141 assert hasattr(self, 'name')
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142 if not hasattr(self, 'signature'):
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143 raise TypeError('You are decorating a non function: %s' % func)
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144
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145 def update(self, func, **kw):
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146 "Update the signature of func with the data in self"
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147 func.__name__ = self.name
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148 func.__doc__ = getattr(self, 'doc', None)
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149 func.__dict__ = getattr(self, 'dict', {})
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150 func.__defaults__ = self.defaults
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151 func.__kwdefaults__ = self.kwonlydefaults or None
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152 func.__annotations__ = getattr(self, 'annotations', None)
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153 try:
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154 frame = sys._getframe(3)
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155 except AttributeError: # for IronPython and similar implementations
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156 callermodule = '?'
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157 else:
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158 callermodule = frame.f_globals.get('__name__', '?')
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159 func.__module__ = getattr(self, 'module', callermodule)
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160 func.__dict__.update(kw)
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161
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162 def make(self, src_templ, evaldict=None, addsource=False, **attrs):
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163 "Make a new function from a given template and update the signature"
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164 src = src_templ % vars(self) # expand name and signature
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165 evaldict = evaldict or {}
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166 mo = DEF.search(src)
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167 if mo is None:
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168 raise SyntaxError('not a valid function template\n%s' % src)
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169 name = mo.group(1) # extract the function name
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170 names = set([name] + [arg.strip(' *') for arg in
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171 self.shortsignature.split(',')])
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172 for n in names:
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173 if n in ('_func_', '_call_'):
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174 raise NameError('%s is overridden in\n%s' % (n, src))
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175
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176 if not src.endswith('\n'): # add a newline for old Pythons
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177 src += '\n'
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178
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179 # Ensure each generated function has a unique filename for profilers
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180 # (such as cProfile) that depend on the tuple of (<filename>,
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181 # <definition line>, <function name>) being unique.
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182 filename = '<decorator-gen-%d>' % next(self._compile_count)
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183 try:
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184 code = compile(src, filename, 'single')
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185 exec(code, evaldict)
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186 except Exception:
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187 print('Error in generated code:', file=sys.stderr)
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188 print(src, file=sys.stderr)
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189 raise
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190 func = evaldict[name]
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191 if addsource:
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192 attrs['__source__'] = src
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193 self.update(func, **attrs)
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194 return func
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195
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196 @classmethod
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197 def create(cls, obj, body, evaldict, defaults=None,
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198 doc=None, module=None, addsource=True, **attrs):
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199 """
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200 Create a function from the strings name, signature and body.
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201 evaldict is the evaluation dictionary. If addsource is true an
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202 attribute __source__ is added to the result. The attributes attrs
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203 are added, if any.
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204 """
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205 if isinstance(obj, str): # "name(signature)"
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206 name, rest = obj.strip().split('(', 1)
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207 signature = rest[:-1] # strip a right parens
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208 func = None
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209 else: # a function
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210 name = None
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211 signature = None
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212 func = obj
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213 self = cls(func, name, signature, defaults, doc, module)
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214 ibody = '\n'.join(' ' + line for line in body.splitlines())
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215 caller = evaldict.get('_call_') # when called from `decorate`
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216 if caller and iscoroutinefunction(caller):
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217 body = ('async def %(name)s(%(signature)s):\n' + ibody).replace(
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218 'return', 'return await')
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219 else:
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220 body = 'def %(name)s(%(signature)s):\n' + ibody
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221 return self.make(body, evaldict, addsource, **attrs)
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222
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223
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224 def decorate(func, caller, extras=()):
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225 """
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226 decorate(func, caller) decorates a function using a caller.
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227 If the caller is a generator function, the resulting function
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228 will be a generator function.
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229 """
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230 evaldict = dict(_call_=caller, _func_=func)
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231 es = ''
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232 for i, extra in enumerate(extras):
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233 ex = '_e%d_' % i
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234 evaldict[ex] = extra
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235 es += ex + ', '
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236
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237 if '3.5' <= sys.version < '3.6':
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238 # with Python 3.5 isgeneratorfunction returns True for all coroutines
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239 # however we know that it is NOT possible to have a generator
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240 # coroutine in python 3.5: PEP525 was not there yet
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241 generatorcaller = isgeneratorfunction(
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242 caller) and not iscoroutinefunction(caller)
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243 else:
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244 generatorcaller = isgeneratorfunction(caller)
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245 if generatorcaller:
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246 fun = FunctionMaker.create(
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247 func, "for res in _call_(_func_, %s%%(shortsignature)s):\n"
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248 " yield res" % es, evaldict, __wrapped__=func)
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249 else:
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250 fun = FunctionMaker.create(
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251 func, "return _call_(_func_, %s%%(shortsignature)s)" % es,
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252 evaldict, __wrapped__=func)
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253 if hasattr(func, '__qualname__'):
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254 fun.__qualname__ = func.__qualname__
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255 return fun
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256
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257
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258 def decorator(caller, _func=None):
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259 """decorator(caller) converts a caller function into a decorator"""
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260 if _func is not None: # return a decorated function
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261 # this is obsolete behavior; you should use decorate instead
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262 return decorate(_func, caller)
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263 # else return a decorator function
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264 defaultargs, defaults = '', ()
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265 if inspect.isclass(caller):
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266 name = caller.__name__.lower()
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267 doc = 'decorator(%s) converts functions/generators into ' \
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268 'factories of %s objects' % (caller.__name__, caller.__name__)
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269 elif inspect.isfunction(caller):
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270 if caller.__name__ == '<lambda>':
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271 name = '_lambda_'
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272 else:
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273 name = caller.__name__
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274 doc = caller.__doc__
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275 nargs = caller.__code__.co_argcount
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276 ndefs = len(caller.__defaults__ or ())
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277 defaultargs = ', '.join(caller.__code__.co_varnames[nargs-ndefs:nargs])
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278 if defaultargs:
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279 defaultargs += ','
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280 defaults = caller.__defaults__
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281 else: # assume caller is an object with a __call__ method
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282 name = caller.__class__.__name__.lower()
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283 doc = caller.__call__.__doc__
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284 evaldict = dict(_call=caller, _decorate_=decorate)
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285 dec = FunctionMaker.create(
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286 '%s(func, %s)' % (name, defaultargs),
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287 'if func is None: return lambda func: _decorate_(func, _call, (%s))\n'
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288 'return _decorate_(func, _call, (%s))' % (defaultargs, defaultargs),
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289 evaldict, doc=doc, module=caller.__module__, __wrapped__=caller)
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290 if defaults:
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291 dec.__defaults__ = (None,) + defaults
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292 return dec
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293
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294
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295 # ####################### contextmanager ####################### #
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296
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297 try: # Python >= 3.2
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298 from contextlib import _GeneratorContextManager
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299 except ImportError: # Python >= 2.5
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300 from contextlib import GeneratorContextManager as _GeneratorContextManager
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301
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302
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303 class ContextManager(_GeneratorContextManager):
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304 def __call__(self, func):
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305 """Context manager decorator"""
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306 return FunctionMaker.create(
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307 func, "with _self_: return _func_(%(shortsignature)s)",
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308 dict(_self_=self, _func_=func), __wrapped__=func)
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309
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310
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311 init = getfullargspec(_GeneratorContextManager.__init__)
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312 n_args = len(init.args)
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313 if n_args == 2 and not init.varargs: # (self, genobj) Python 2.7
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314 def __init__(self, g, *a, **k):
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315 return _GeneratorContextManager.__init__(self, g(*a, **k))
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316 ContextManager.__init__ = __init__
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317 elif n_args == 2 and init.varargs: # (self, gen, *a, **k) Python 3.4
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318 pass
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319 elif n_args == 4: # (self, gen, args, kwds) Python 3.5
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320 def __init__(self, g, *a, **k):
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321 return _GeneratorContextManager.__init__(self, g, a, k)
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322 ContextManager.__init__ = __init__
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323
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324 _contextmanager = decorator(ContextManager)
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325
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326
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327 def contextmanager(func):
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328 # Enable Pylint config: contextmanager-decorators=decorator.contextmanager
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329 return _contextmanager(func)
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330
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331
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332 # ############################ dispatch_on ############################ #
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333
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334 def append(a, vancestors):
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335 """
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336 Append ``a`` to the list of the virtual ancestors, unless it is already
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337 included.
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338 """
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339 add = True
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340 for j, va in enumerate(vancestors):
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341 if issubclass(va, a):
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342 add = False
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343 break
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344 if issubclass(a, va):
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345 vancestors[j] = a
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346 add = False
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347 if add:
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348 vancestors.append(a)
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349
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350
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351 # inspired from simplegeneric by P.J. Eby and functools.singledispatch
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352 def dispatch_on(*dispatch_args):
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353 """
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354 Factory of decorators turning a function into a generic function
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355 dispatching on the given arguments.
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356 """
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357 assert dispatch_args, 'No dispatch args passed'
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358 dispatch_str = '(%s,)' % ', '.join(dispatch_args)
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359
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360 def check(arguments, wrong=operator.ne, msg=''):
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361 """Make sure one passes the expected number of arguments"""
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362 if wrong(len(arguments), len(dispatch_args)):
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363 raise TypeError('Expected %d arguments, got %d%s' %
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364 (len(dispatch_args), len(arguments), msg))
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365
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366 def gen_func_dec(func):
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367 """Decorator turning a function into a generic function"""
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368
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369 # first check the dispatch arguments
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370 argset = set(getfullargspec(func).args)
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371 if not set(dispatch_args) <= argset:
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372 raise NameError('Unknown dispatch arguments %s' % dispatch_str)
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373
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374 typemap = {}
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375
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376 def vancestors(*types):
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377 """
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378 Get a list of sets of virtual ancestors for the given types
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379 """
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380 check(types)
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381 ras = [[] for _ in range(len(dispatch_args))]
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382 for types_ in typemap:
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383 for t, type_, ra in zip(types, types_, ras):
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384 if issubclass(t, type_) and type_ not in t.mro():
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385 append(type_, ra)
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386 return [set(ra) for ra in ras]
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387
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388 def ancestors(*types):
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389 """
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390 Get a list of virtual MROs, one for each type
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391 """
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392 check(types)
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393 lists = []
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394 for t, vas in zip(types, vancestors(*types)):
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395 n_vas = len(vas)
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396 if n_vas > 1:
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397 raise RuntimeError(
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398 'Ambiguous dispatch for %s: %s' % (t, vas))
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399 elif n_vas == 1:
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400 va, = vas
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401 mro = type('t', (t, va), {}).mro()[1:]
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402 else:
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403 mro = t.mro()
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404 lists.append(mro[:-1]) # discard t and object
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405 return lists
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406
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407 def register(*types):
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408 """
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409 Decorator to register an implementation for the given types
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410 """
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411 check(types)
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412
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413 def dec(f):
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414 check(getfullargspec(f).args, operator.lt, ' in ' + f.__name__)
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415 typemap[types] = f
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416 return f
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417 return dec
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418
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419 def dispatch_info(*types):
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420 """
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421 An utility to introspect the dispatch algorithm
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422 """
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423 check(types)
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424 lst = []
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425 for anc in itertools.product(*ancestors(*types)):
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426 lst.append(tuple(a.__name__ for a in anc))
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427 return lst
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428
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429 def _dispatch(dispatch_args, *args, **kw):
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430 types = tuple(type(arg) for arg in dispatch_args)
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431 try: # fast path
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432 f = typemap[types]
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433 except KeyError:
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434 pass
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435 else:
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436 return f(*args, **kw)
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437 combinations = itertools.product(*ancestors(*types))
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438 next(combinations) # the first one has been already tried
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439 for types_ in combinations:
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440 f = typemap.get(types_)
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441 if f is not None:
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442 return f(*args, **kw)
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443
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444 # else call the default implementation
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445 return func(*args, **kw)
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446
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447 return FunctionMaker.create(
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448 func, 'return _f_(%s, %%(shortsignature)s)' % dispatch_str,
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449 dict(_f_=_dispatch), register=register, default=func,
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450 typemap=typemap, vancestors=vancestors, ancestors=ancestors,
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451 dispatch_info=dispatch_info, __wrapped__=func)
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452
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453 gen_func_dec.__name__ = 'dispatch_on' + dispatch_str
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454 return gen_func_dec