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How to use instancecheck method in freezegun

Best Python code snippet using freezegun

_typecheck.py

Source:_typecheck.py

...58class Union(Type):59  """A sum type.60  A correct type is any of the types provided.61  """62  def __instancecheck__(self, instance):63    return isinstance(instance, self._types)64class Optional(_SingleArgumentType):65  """An optional type.66  A correct type is either the provided type or NoneType.67  """68  def __instancecheck__(self, instance):69    # types.NoneType does not exist in Python 370    return isinstance(instance, (self._type, type(None)))71class List(_SingleArgumentType):72  """A typed list.73  A correct type is a list where each element has the single provided type.74  """75  def __instancecheck__(self, instance):76    return (isinstance(instance, list) and77            all(isinstance(x, self._type) for x in instance))78class Sequence(_SingleArgumentType):79  """A typed sequence.80  A correct type is a sequence where each element has the single provided type.81  """82  def __instancecheck__(self, instance):83    return (isinstance(instance, collections.Sequence) and84            all(isinstance(x, self._type) for x in instance))85class Collection(_SingleArgumentType):86  """A sized, iterable container.87  A correct type is an iterable and container with known size where each element88  has the single provided type.89  We use this in preference to Iterable because we check each instance of the90  iterable at runtime, and hence need to avoid iterables that could be91  exhausted.92  """93  def __instancecheck__(self, instance):94    return (isinstance(instance, collections.Iterable) and95            isinstance(instance, collections.Sized) and96            isinstance(instance, collections.Container) and97            all(isinstance(x, self._type) for x in instance))98class Tuple(Type):99  """A typed tuple.100  A correct type is a tuple with the correct length where each element has101  the correct type.102  """103  def __instancecheck__(self, instance):104    return (isinstance(instance, tuple) and105            len(instance) == len(self._types) and106            all(isinstance(x, t) for x, t in zip(instance, self._types)))107class Mapping(_TwoArgumentType):108  """A typed mapping.109  A correct type has the correct parametric types for keys and values.110  """111  def __instancecheck__(self, instance):112    key_type, value_type = self._types  # pylint: disable=unbalanced-tuple-unpacking113    return (isinstance(instance, collections.Mapping) and114            all(isinstance(k, key_type) for k in instance.keys()) and115            all(isinstance(k, value_type) for k in instance.values()))116class Dict(Mapping):117  """A typed dict.118  A correct type has the correct parametric types for keys and values.119  """120  def __instancecheck__(self, instance):121    return (isinstance(instance, dict) and122            super(Dict, self).__instancecheck__(instance))123def _replace_forward_references(t, context):124  """Replace forward references in the given type."""125  if isinstance(t, str):126    return context[t]127  elif isinstance(t, Type):128    return type(t)(*[_replace_forward_references(t, context) for t in t._types])  # pylint: disable=protected-access129  else:130    return t131def register_type_abbreviation(name, alias):132  """Register an abbreviation for a type in typecheck tracebacks.133  This makes otherwise very long typecheck errors much more readable.134  Example:135    typecheck.register_type_abbreviation(tf.compat.v1.Dimension,136    'tf.compat.v1.Dimension')...

validator.py

Source:validator.py

...10    self.base_class = base_class11    self.__name__ = self.__class__.__name__  # Emulate a `type`.12  def __call__(self, *args, **kwargs) -> None:13    return None  # Fool runtime checks in typing module.14  def __instancecheck__(self, instance: Any) -> bool:15    return isinstance(instance, self.base_class)16  def __repr__(self) -> str:17    return '%s(%s)' % (self.__class__.__name__, self._args())18  def _args(self) -> str:19    return ''20class Color(Validator):21  def __init__(self, n_channels: int = 1, flat: bool = True) -> None:22    if flat and n_channels != 1:23      raise NotImplementedError('Unable to flatten %d channels' % n_channels)24    super().__init__(int)25    self._n_channels = n_channels26    self._flat = flat27  def coerce(28      self, value: Any, flat: Optional[bool] = None) -> Union[int, List[int]]:29    if flat is None:30      flat = self._flat31    result = []32    if isinstance(value, (tuple, list)):33      result = value34    elif isinstance(value, ColorChannel):35      value = int(value)36      result = [value] * self._n_channels37    elif isinstance(value, str):38      matched = _COLOR_REGEX.match(value)39      if matched:40        value = matched.group(1)41      if not matched or not value:42        pass  # Error handling below.43      elif len(value) in (3, 4):  # Double before reading each channel.44        result = [int(v * 2, 16) for v in value]45      elif len(value) in (1, 2, 4, 6, 8):46        result = [47          int(value[start:start+2], 16) for start in range(0, len(value), 2)48        ]49    if not result:50      pass51    elif flat:52      if len(result) == 1:53        return result[0]54      elif all(value == result[0] for value in result):  # Monochrome: #9f9f9f.55        return result[0]56    elif len(result) == 1:  # Monochrome.57      return result * self._n_channels58    elif len(result) == self._n_channels:59      return result60    elif self._n_channels == 1 and all(value == result[0] for value in result):61      return [result[0]]62    raise ValueError(63        '"%s" is not a %d-channel color' % (value, self._n_channels))64  def to_rgb_hex(self, value: Any) -> Optional[str]:65    if value is None:66      return '#000000'67    coerced = self.coerce(value, flat=False)68    if len(coerced) == 1:69      return '#%0.2x%0.2x%0.2x' % (coerced[0], coerced[0], coerced[0])70    elif len(coerced) in (3, 4):71      return '#%0.2x%0.2x%0.2x' % tuple(coerced[:3])72    raise ValueError('Cannot hex encode "%s"' % str(coerced))73  def __instancecheck__(self, instance: Any) -> bool:74    if isinstance(instance, (tuple, list)):75      values = instance76    else:77      values = [instance]78    return all(isinstance(value, int) for value in values)79class NumberInRange(Validator):80  min_value: numbers.Number = float('-inf')81  max_value: numbers.Number = float('inf')82  def __init__(83      self,84      min_value: Optional[numbers.Number] = None,85      max_value: Optional[numbers.Number] = None):86    if min_value is None and max_value is None:87      raise ValueError('min_value and max_value are both None')88    if min_value is not None:89      self.min_value = min_value90    if max_value is not None:91      self.max_value = max_value92    super().__init__(numbers.Number)93  def __instancecheck__(self, instance: Any) -> bool:94    if not super().__instancecheck__(instance):95      return False96    return self.min_value <= instance <= self.max_value97  def _args(self) -> str:98    return 'min_value=%s, max_value=%s' % (self.min_value, self.max_value)99ColorChannel = NumberInRange(min_value=0, max_value=255)100class Option(Validator):101  def __init__(self, options: List[T]) -> None:102    if not options:103      raise ValueError('No valid options')104    self._options = options105    super().__init__(type(options[0]))106  def __instancecheck__(self, instance: Any) -> bool:107    if not super().__instancecheck__(instance):108      return False109    return instance in self._options110  def __iter__(self) -> Iterable[T]:111    yield from self._options112class Point(Validator):113  _limits: Tuple[numbers.Number]114  def __init__(self, *limits: numbers.Number) -> None:115    if not limits:116      raise ValueError('1+ limits are required for Point validation')117    self._limits = limits118    super().__init__(tuple)119  def __instancecheck__(self, instance: Any) -> bool:120    if (not super().__instancecheck__(instance) or121        len(instance) != len(self._limits)):122      return False123    return all(0 <= v <= limit for v, limit in zip(instance, self._limits))124  def from_str(self, value: str) -> Tuple[numbers.Number]:125    coerce = type(self._limits[0])126    segments = value.strip('()[] ').split(',')127    return tuple(coerce(segment.strip()) for segment in segments)128class RangeInRange(Validator):129  min_value: numbers.Number130  max_value: numbers.Number131  def __init__(132      self, min_value: numbers.Number, max_value: numbers.Number) -> None:133    self.min_value = min_value134    self.max_value = max_value135    super().__init__(tuple)136  def __instancecheck__(self, instance: Any) -> bool:137    if not super().__instancecheck__(instance) or len(instance) != 2:138      return False139    min_value, max_value = instance140    return self.min_value <= min_value <= max_value <= self.max_value141  def _args(self) -> str:...

_typecheck.pyi

Source:_typecheck.pyi

...9    def __init__(self, tpe: Any) -> None: ...10class _TwoArgumentType(Type):11    def __init__(self, first_type: Any, second_type: Any) -> None: ...12class Union(Type):13    def __instancecheck__(self, instance: Any): ...14class Optional(_SingleArgumentType):15    def __instancecheck__(self, instance: Any): ...16class List(_SingleArgumentType):17    def __instancecheck__(self, instance: Any): ...18class Sequence(_SingleArgumentType):19    def __instancecheck__(self, instance: Any): ...20class Collection(_SingleArgumentType):21    def __instancecheck__(self, instance: Any): ...22class Tuple(Type):23    def __instancecheck__(self, instance: Any): ...24class Mapping(_TwoArgumentType):25    def __instancecheck__(self, instance: Any): ...26class Dict(Mapping):27    def __instancecheck__(self, instance: Any): ...28def register_type_abbreviation(name: Any, alias: Any) -> None: ...29class Error(TypeError): ...30def accepts(*types: Any): ......

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