




from math import factorial, pi







def SCREAMING_SNAKE_CASE       ( lowercase_				,       lowercase_ = 30		)     -> float:



       """simple docstring"""

       if not isinstance(lowercase_				,       (int, float)		):
              raise ValueError('''maclaurin_sin() requires either an int or float for theta'''		)

       if not isinstance(lowercase_				,       lowercase_		) or accuracy <= 0:
              raise ValueError('''maclaurin_sin() requires a positive int for accuracy'''		)

       A__   				=					float(lowercase_		)
       A__   				=					theta // (2 * pi)
       theta -= 2 * div * pi
       return sum(
           (-1) ** r * theta ** (2 * r + 1) / factorial(2 * r + 1		) for r in range(lowercase_		)		)







def SCREAMING_SNAKE_CASE       ( lowercase_				,       lowercase_ = 30		)     -> float:



       """simple docstring"""

       if not isinstance(lowercase_				,       (int, float)		):
              raise ValueError('''maclaurin_cos() requires either an int or float for theta'''		)

       if not isinstance(lowercase_				,       lowercase_		) or accuracy <= 0:
              raise ValueError('''maclaurin_cos() requires a positive int for accuracy'''		)

       A__   				=					float(lowercase_		)
       A__   				=					theta // (2 * pi)
       theta -= 2 * div * pi
       return sum((-1) ** r * theta ** (2 * r) / factorial(2 * r		) for r in range(lowercase_		)		)


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  print(maclaurin_sin(10))
  print(maclaurin_sin(-10))
  print(maclaurin_sin(10, 15))
  print(maclaurin_sin(-10, 15))

  print(maclaurin_cos(5))
  print(maclaurin_cos(-5))
  print(maclaurin_cos(10, 15))
  print(maclaurin_cos(-10, 15))







from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available, is_vision_available
from ...utils import OptionalDependencyNotAvailable


_lowerCamelCase			:	Union[str, Any]							 =     {"""configuration_dpt""": ["""DPT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DPTConfig"""]}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCamelCase			:	Optional[Any]							 =     ["""DPTFeatureExtractor"""]
  _lowerCamelCase			:	int							 =     ["""DPTImageProcessor"""]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCamelCase			:	Optional[int]							 =     [
      """DPT_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """DPTForDepthEstimation""",
      """DPTForSemanticSegmentation""",
      """DPTModel""",
      """DPTPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_dpt import DPTFeatureExtractor
    from .image_processing_dpt import DPTImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_dpt import (
        DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
        DPTForDepthEstimation,
        DPTForSemanticSegmentation,
        DPTModel,
        DPTPreTrainedModel,
    )


else:
  import sys

  _lowerCamelCase			:	Any							 =     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


