annotate contrib/python-zstandard/tests/common.py @ 37495:b1fb341d8a61

zstandard: vendor python-zstandard 0.9.0 This was just released. It features a number of goodies. More info at https://gregoryszorc.com/blog/2018/04/09/release-of-python-zstandard-0.9/. The clang-format ignore list was updated to reflect the new source of files. The project contains a vendored copy of zstandard 1.3.4. The old version was 1.1.3. One of the changes between those versions is that zstandard is now dual licensed BSD + GPLv2 and the patent rights grant has been removed. Good riddance. The API should be backwards compatible. So no changes in core should be needed. However, there were a number of changes in the library that we'll want to adapt to. Those will be addressed in subsequent commits. Differential Revision: https://phab.mercurial-scm.org/D3198
author Gregory Szorc <gregory.szorc@gmail.com>
date Mon, 09 Apr 2018 10:13:29 -0700
parents e0dc40530c5a
children 675775c33ab6
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1 import imp
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2 import inspect
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3 import io
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4 import os
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5 import types
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6
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7 try:
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8 import hypothesis
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9 except ImportError:
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10 hypothesis = None
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11
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12
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13 def make_cffi(cls):
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14 """Decorator to add CFFI versions of each test method."""
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15
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16 # The module containing this class definition should
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17 # `import zstandard as zstd`. Otherwise things may blow up.
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18 mod = inspect.getmodule(cls)
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19 if not hasattr(mod, 'zstd'):
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20 raise Exception('test module does not contain "zstd" symbol')
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21
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22 if not hasattr(mod.zstd, 'backend'):
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23 raise Exception('zstd symbol does not have "backend" attribute; did '
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24 'you `import zstandard as zstd`?')
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25
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26 # If `import zstandard` already chose the cffi backend, there is nothing
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27 # for us to do: we only add the cffi variation if the default backend
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28 # is the C extension.
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29 if mod.zstd.backend == 'cffi':
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30 return cls
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31
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32 old_env = dict(os.environ)
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33 os.environ['PYTHON_ZSTANDARD_IMPORT_POLICY'] = 'cffi'
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34 try:
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35 try:
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36 mod_info = imp.find_module('zstandard')
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37 mod = imp.load_module('zstandard_cffi', *mod_info)
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38 except ImportError:
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39 return cls
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40 finally:
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41 os.environ.clear()
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42 os.environ.update(old_env)
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43
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44 if mod.backend != 'cffi':
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45 raise Exception('got the zstandard %s backend instead of cffi' % mod.backend)
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46
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47 # If CFFI version is available, dynamically construct test methods
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48 # that use it.
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49
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50 for attr in dir(cls):
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51 fn = getattr(cls, attr)
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52 if not inspect.ismethod(fn) and not inspect.isfunction(fn):
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53 continue
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54
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55 if not fn.__name__.startswith('test_'):
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56 continue
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57
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58 name = '%s_cffi' % fn.__name__
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59
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60 # Replace the "zstd" symbol with the CFFI module instance. Then copy
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61 # the function object and install it in a new attribute.
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62 if isinstance(fn, types.FunctionType):
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63 globs = dict(fn.__globals__)
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64 globs['zstd'] = mod
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65 new_fn = types.FunctionType(fn.__code__, globs, name,
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66 fn.__defaults__, fn.__closure__)
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67 new_method = new_fn
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68 else:
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69 globs = dict(fn.__func__.func_globals)
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70 globs['zstd'] = mod
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71 new_fn = types.FunctionType(fn.__func__.func_code, globs, name,
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72 fn.__func__.func_defaults,
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73 fn.__func__.func_closure)
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74 new_method = types.UnboundMethodType(new_fn, fn.im_self,
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75 fn.im_class)
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76
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77 setattr(cls, name, new_method)
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78
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79 return cls
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80
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81
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82 class OpCountingBytesIO(io.BytesIO):
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83 def __init__(self, *args, **kwargs):
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84 self._read_count = 0
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85 self._write_count = 0
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86 return super(OpCountingBytesIO, self).__init__(*args, **kwargs)
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87
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88 def read(self, *args):
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89 self._read_count += 1
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90 return super(OpCountingBytesIO, self).read(*args)
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91
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92 def write(self, data):
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93 self._write_count += 1
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94 return super(OpCountingBytesIO, self).write(data)
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95
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96
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97 _source_files = []
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98
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99
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100 def random_input_data():
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101 """Obtain the raw content of source files.
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102
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103 This is used for generating "random" data to feed into fuzzing, since it is
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104 faster than random content generation.
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105 """
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106 if _source_files:
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107 return _source_files
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108
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109 for root, dirs, files in os.walk(os.path.dirname(__file__)):
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110 dirs[:] = list(sorted(dirs))
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111 for f in sorted(files):
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112 try:
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113 with open(os.path.join(root, f), 'rb') as fh:
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114 data = fh.read()
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115 if data:
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116 _source_files.append(data)
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117 except OSError:
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118 pass
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119
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120 return _source_files
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121
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122
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123 def generate_samples():
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124 inputs = [
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125 b'foo',
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126 b'bar',
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127 b'abcdef',
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128 b'sometext',
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129 b'baz',
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130 ]
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131
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132 samples = []
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133
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134 for i in range(128):
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135 samples.append(inputs[i % 5])
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136 samples.append(inputs[i % 5] * (i + 3))
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137 samples.append(inputs[-(i % 5)] * (i + 2))
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138
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139 return samples
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140
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141
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142 if hypothesis:
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143 default_settings = hypothesis.settings()
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144 hypothesis.settings.register_profile('default', default_settings)
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145
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146 ci_settings = hypothesis.settings(max_examples=2500,
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147 max_iterations=2500)
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148 hypothesis.settings.register_profile('ci', ci_settings)
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149
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150 hypothesis.settings.load_profile(
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151 os.environ.get('HYPOTHESIS_PROFILE', 'default'))