


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_snake_case  :	Dict			      =       logging.get_logger(__name__)

_snake_case  :	str			      =       {
    "bert-base-uncased": "https://huggingface.co/bert-base-uncased/resolve/main/config.json",
    "bert-large-uncased": "https://huggingface.co/bert-large-uncased/resolve/main/config.json",
    "bert-base-cased": "https://huggingface.co/bert-base-cased/resolve/main/config.json",
    "bert-large-cased": "https://huggingface.co/bert-large-cased/resolve/main/config.json",
    "bert-base-multilingual-uncased": "https://huggingface.co/bert-base-multilingual-uncased/resolve/main/config.json",
    "bert-base-multilingual-cased": "https://huggingface.co/bert-base-multilingual-cased/resolve/main/config.json",
    "bert-base-chinese": "https://huggingface.co/bert-base-chinese/resolve/main/config.json",
    "bert-base-german-cased": "https://huggingface.co/bert-base-german-cased/resolve/main/config.json",
    "bert-large-uncased-whole-word-masking": (
        "https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/config.json"
    ),
    "bert-large-cased-whole-word-masking": (
        "https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/config.json"
    ),
    "bert-large-uncased-whole-word-masking-finetuned-squad": (
        "https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/config.json"
    ),
    "bert-large-cased-whole-word-masking-finetuned-squad": (
        "https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/config.json"
    ),
    "bert-base-cased-finetuned-mrpc": "https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/config.json",
    "bert-base-german-dbmdz-cased": "https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/config.json",
    "bert-base-german-dbmdz-uncased": "https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/config.json",
    "cl-tohoku/bert-base-japanese": "https://huggingface.co/cl-tohoku/bert-base-japanese/resolve/main/config.json",
    "cl-tohoku/bert-base-japanese-whole-word-masking": (
        "https://huggingface.co/cl-tohoku/bert-base-japanese-whole-word-masking/resolve/main/config.json"
    ),
    "cl-tohoku/bert-base-japanese-char": (
        "https://huggingface.co/cl-tohoku/bert-base-japanese-char/resolve/main/config.json"
    ),
    "cl-tohoku/bert-base-japanese-char-whole-word-masking": (
        "https://huggingface.co/cl-tohoku/bert-base-japanese-char-whole-word-masking/resolve/main/config.json"
    ),
    "TurkuNLP/bert-base-finnish-cased-v1": (
        "https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/config.json"
    ),
    "TurkuNLP/bert-base-finnish-uncased-v1": (
        "https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/config.json"
    ),
    "wietsedv/bert-base-dutch-cased": "https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/config.json",
    # See all BERT models at https://huggingface.co/models?filter=bert
}

class        a	(_lowerCAmelCase   ):




							"""simple docstring"""


							__UpperCAmelCase					:							int  						=						"bert"

							def __init__(							self :						Union[str, Any]					,			lowerCamelCase :						Any=30522					,			lowerCamelCase :						List[Any]=768					,			lowerCamelCase :						List[Any]=12					,			lowerCamelCase :						List[str]=12					,			lowerCamelCase :						Optional[int]=3072					,			lowerCamelCase :						List[str]="gelu"					,			lowerCamelCase :						Dict=0.1					,			lowerCamelCase :						List[Any]=0.1					,			lowerCamelCase :						Dict=512					,			lowerCamelCase :						Union[str, Any]=2					,			lowerCamelCase :						str=0.02					,			lowerCamelCase :						int=1E-12					,			lowerCamelCase :						List[Any]=0					,			lowerCamelCase :						Optional[Any]="absolute"					,			lowerCamelCase :						List[Any]=True					,			lowerCamelCase :						Tuple=None					,			**lowerCamelCase :						Dict					,			)			->					Optional[int]:
									super().__init__(pad_token_id=lowerCamelCase					,			**lowerCamelCase       )

									__snake_case	:    List[Any]											=     vocab_size
									__snake_case	:    Tuple											=     hidden_size
									__snake_case	:    int											=     num_hidden_layers
									__snake_case	:    Tuple											=     num_attention_heads
									__snake_case	:    int											=     hidden_act
									__snake_case	:    int											=     intermediate_size
									__snake_case	:    Dict											=     hidden_dropout_prob
									__snake_case	:    List[str]											=     attention_probs_dropout_prob
									__snake_case	:    str											=     max_position_embeddings
									__snake_case	:    Tuple											=     type_vocab_size
									__snake_case	:    List[str]											=     initializer_range
									__snake_case	:    List[Any]											=     layer_norm_eps
									__snake_case	:    Tuple											=     position_embedding_type
									__snake_case	:    List[Any]											=     use_cache
									__snake_case	:    Dict											=     classifier_dropout

class        a	(_lowerCAmelCase   ):




							"""simple docstring"""


							@property
							def 					__snake_case      (							self :						List[str]       )			->					Mapping[str, Mapping[int, str]]:
									if self.task == "multiple-choice":
											__snake_case	:    Dict											=     {0: "batch", 1: "choice", 2: "sequence"}
									else:
											__snake_case	:    Optional[int]											=     {0: "batch", 1: "sequence"}
									return OrderedDict(
									    [
									        ("input_ids", dynamic_axis),
									        ("attention_mask", dynamic_axis),
									        ("token_type_ids", dynamic_axis),
									    ]       )





import math







def        lowerCAmelCase_  (      __lowerCamelCase							,			__lowerCamelCase			):

							if initial_intensity < 0:
														raise ValueError("The value of intensity cannot be negative"			)
														# handling of negative values of initial intensity
							if angle < 0 or angle > 3_6_0:
														raise ValueError("In Malus Law, the angle is in the range 0-360 degrees"			)
														# handling of values out of allowed range
							return initial_intensity * (math.cos(math.radians(__lowerCamelCase			)			) ** 2)


if __name__ == "__main__":
			import doctest

			doctest.testmod(name="malus_law")

