annotate contrib/python-zstandard/tests/common.py @ 48039:c094e829e848 stable

changelog: also monitor `00changelog.n` when applicable (issue6554) This let the locarepo's file cache detect outdated nodemap docket and reload the changelog after `localrepo.invalidate` when applicable. Differential Revision: https://phab.mercurial-scm.org/D11482
author Pierre-Yves David <pierre-yves.david@octobus.net>
date Tue, 21 Sep 2021 18:03:37 +0200
parents 5e84a96d865b
children
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rev   line source
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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 import unittest
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7
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8 try:
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9 import hypothesis
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10 except ImportError:
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11 hypothesis = None
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12
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13
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14 class TestCase(unittest.TestCase):
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15 if not getattr(unittest.TestCase, "assertRaisesRegex", False):
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16 assertRaisesRegex = unittest.TestCase.assertRaisesRegexp
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17
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18
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19 def make_cffi(cls):
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20 """Decorator to add CFFI versions of each test method."""
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21
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22 # The module containing this class definition should
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23 # `import zstandard as zstd`. Otherwise things may blow up.
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24 mod = inspect.getmodule(cls)
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25 if not hasattr(mod, "zstd"):
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26 raise Exception('test module does not contain "zstd" symbol')
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27
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28 if not hasattr(mod.zstd, "backend"):
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29 raise Exception(
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30 'zstd symbol does not have "backend" attribute; did '
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31 "you `import zstandard as zstd`?"
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32 )
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33
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34 # If `import zstandard` already chose the cffi backend, there is nothing
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35 # for us to do: we only add the cffi variation if the default backend
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36 # is the C extension.
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37 if mod.zstd.backend == "cffi":
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38 return cls
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39
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40 old_env = dict(os.environ)
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41 os.environ["PYTHON_ZSTANDARD_IMPORT_POLICY"] = "cffi"
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42 try:
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43 try:
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44 mod_info = imp.find_module("zstandard")
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45 mod = imp.load_module("zstandard_cffi", *mod_info)
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46 except ImportError:
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47 return cls
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48 finally:
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49 os.environ.clear()
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50 os.environ.update(old_env)
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51
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52 if mod.backend != "cffi":
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53 raise Exception(
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54 "got the zstandard %s backend instead of cffi" % mod.backend
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55 )
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56
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57 # If CFFI version is available, dynamically construct test methods
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58 # that use it.
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59
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60 for attr in dir(cls):
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61 fn = getattr(cls, attr)
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62 if not inspect.ismethod(fn) and not inspect.isfunction(fn):
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63 continue
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64
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65 if not fn.__name__.startswith("test_"):
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66 continue
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67
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68 name = "%s_cffi" % fn.__name__
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69
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70 # Replace the "zstd" symbol with the CFFI module instance. Then copy
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71 # the function object and install it in a new attribute.
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72 if isinstance(fn, types.FunctionType):
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73 globs = dict(fn.__globals__)
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74 globs["zstd"] = mod
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75 new_fn = types.FunctionType(
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76 fn.__code__, globs, name, fn.__defaults__, fn.__closure__
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77 )
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78 new_method = new_fn
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79 else:
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80 globs = dict(fn.__func__.func_globals)
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81 globs["zstd"] = mod
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82 new_fn = types.FunctionType(
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83 fn.__func__.func_code,
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84 globs,
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85 name,
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86 fn.__func__.func_defaults,
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87 fn.__func__.func_closure,
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88 )
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89 new_method = types.UnboundMethodType(
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90 new_fn, fn.im_self, fn.im_class
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91 )
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92
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93 setattr(cls, name, new_method)
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94
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95 return cls
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96
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97
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98 class NonClosingBytesIO(io.BytesIO):
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99 """BytesIO that saves the underlying buffer on close().
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100
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101 This allows us to access written data after close().
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102 """
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103
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104 def __init__(self, *args, **kwargs):
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105 super(NonClosingBytesIO, self).__init__(*args, **kwargs)
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106 self._saved_buffer = None
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107
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108 def close(self):
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109 self._saved_buffer = self.getvalue()
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110 return super(NonClosingBytesIO, self).close()
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111
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112 def getvalue(self):
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113 if self.closed:
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114 return self._saved_buffer
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115 else:
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116 return super(NonClosingBytesIO, self).getvalue()
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117
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118
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119 class OpCountingBytesIO(NonClosingBytesIO):
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120 def __init__(self, *args, **kwargs):
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121 self._flush_count = 0
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122 self._read_count = 0
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123 self._write_count = 0
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124 return super(OpCountingBytesIO, self).__init__(*args, **kwargs)
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125
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126 def flush(self):
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127 self._flush_count += 1
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128 return super(OpCountingBytesIO, self).flush()
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129
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130 def read(self, *args):
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131 self._read_count += 1
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132 return super(OpCountingBytesIO, self).read(*args)
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133
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134 def write(self, data):
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135 self._write_count += 1
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136 return super(OpCountingBytesIO, self).write(data)
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137
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138
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139 _source_files = []
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140
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141
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142 def random_input_data():
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143 """Obtain the raw content of source files.
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144
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145 This is used for generating "random" data to feed into fuzzing, since it is
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146 faster than random content generation.
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147 """
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148 if _source_files:
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149 return _source_files
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150
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151 for root, dirs, files in os.walk(os.path.dirname(__file__)):
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152 dirs[:] = list(sorted(dirs))
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153 for f in sorted(files):
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154 try:
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155 with open(os.path.join(root, f), "rb") as fh:
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156 data = fh.read()
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157 if data:
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158 _source_files.append(data)
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159 except OSError:
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160 pass
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161
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162 # Also add some actual random data.
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163 _source_files.append(os.urandom(100))
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164 _source_files.append(os.urandom(1000))
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165 _source_files.append(os.urandom(10000))
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166 _source_files.append(os.urandom(100000))
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167 _source_files.append(os.urandom(1000000))
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168
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169 return _source_files
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170
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171
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172 def generate_samples():
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173 inputs = [
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174 b"foo",
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175 b"bar",
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176 b"abcdef",
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177 b"sometext",
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178 b"baz",
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179 ]
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180
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181 samples = []
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182
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183 for i in range(128):
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184 samples.append(inputs[i % 5])
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185 samples.append(inputs[i % 5] * (i + 3))
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186 samples.append(inputs[-(i % 5)] * (i + 2))
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187
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188 return samples
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189
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190
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191 if hypothesis:
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192 default_settings = hypothesis.settings(deadline=10000)
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193 hypothesis.settings.register_profile("default", default_settings)
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194
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195 ci_settings = hypothesis.settings(deadline=20000, max_examples=1000)
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196 hypothesis.settings.register_profile("ci", ci_settings)
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197
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198 expensive_settings = hypothesis.settings(deadline=None, max_examples=10000)
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199 hypothesis.settings.register_profile("expensive", expensive_settings)
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200
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201 hypothesis.settings.load_profile(
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202 os.environ.get("HYPOTHESIS_PROFILE", "default")
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203 )