class_docstr: A settings object controls a variety of parameters that are used in
  falsification. These may control both the falsification strategy and the
  details of the data that is generated.
  
  Default values are picked up from the settings.default object and
  changes made there will be picked up in newly created settings.
class_docstr_tok: ["A","settings","object","controls","a","variety","of","parameters","that","are","used","in","falsification",".","These","may","control","both","the","falsification","strategy","and","the","details","of","the","data","that","is","generated",".","Default","values","are","picked","up","from","the","settings.default","object","and","changes","made","there","will","be","picked","up","in","newly","created","settings","."]
code: def __repr__(self):
      bits = []
      for name, setting in all_settings.items():
          value = getattr(self, name)
          # The only settings that are not shown are those that are
          # deprecated and left at their default values.
          if (
              value != setting.default
              or not setting.deprecation_message
          ):
              bits.append("%s=%r" % (name, value))
      return "settings(%s)" % ", ".join(sorted(bits))
  
imports: from __future__ import absolute_import, division, print_function
  import contextlib
  import datetime
  import inspect
  import threading
  import warnings
  from enum import Enum, IntEnum, unique
  import attr
  from hypothesis.errors import HypothesisDeprecationWarning, InvalidArgument, InvalidState
  from hypothesis.internal.compat import integer_types, quiet_raise, string_types
  from hypothesis.internal.reflection import get_pretty_function_description
  from hypothesis.internal.validation import check_type, try_convert
  from hypothesis.utils.conventions import UniqueIdentifier, not_set
  from hypothesis.utils.dynamicvariables import DynamicVariable
label_desc: Use image node_id 7 for calling the settings obj's underlying member method code with example usage: obj.__repr__() and returns: unknown