


"""simple docstring"""




from math import factorial, pi

def        lowercase							(		lowerCAmelCase__ :     float    ,					lowerCAmelCase__ :     int = 30			) ->      float:

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

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

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

def        lowercase							(		lowerCAmelCase__ :     float    ,					lowerCAmelCase__ :     int = 30			) ->      float:

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

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

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


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				print(maclaurin_sin(1_0))
				print(maclaurin_sin(-1_0))
				print(maclaurin_sin(1_0, 1_5))
				print(maclaurin_sin(-1_0, 1_5))

				print(maclaurin_cos(5))
				print(maclaurin_cos(-5))
				print(maclaurin_cos(1_0, 1_5))
				print(maclaurin_cos(-1_0, 1_5))











"""simple docstring"""
from typing import TYPE_CHECKING

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


__a      =				{
    "configuration_altclip": [
        "ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AltCLIPConfig",
        "AltCLIPTextConfig",
        "AltCLIPVisionConfig",
    ],
    "processing_altclip": ["AltCLIPProcessor"],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a      =				[
						    "ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "AltCLIPPreTrainedModel",
						    "AltCLIPModel",
						    "AltCLIPTextModel",
						    "AltCLIPVisionModel",
						]


if TYPE_CHECKING:
						from .configuration_altclip import (
						    ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    AltCLIPConfig,
						    AltCLIPTextConfig,
						    AltCLIPVisionConfig,
						)
						from .processing_altclip import AltCLIPProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_altclip import (
												    ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
												    AltCLIPModel,
												    AltCLIPPreTrainedModel,
												    AltCLIPTextModel,
												    AltCLIPVisionModel,
												)


else:
						import sys

						__a      =				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
