
'''simple docstring'''







from collections import OrderedDict
from typing import Mapping

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


lowercase					:							Dict   =      logging.get_logger(__name__)

lowercase					:							Any   =      {
    "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/config.json",
    "distilbert-base-uncased-distilled-squad": (
        "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/config.json",
    "distilbert-base-cased-distilled-squad": (
        "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json",
    "distilbert-base-multilingual-cased": (
        "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"
    ),
    "distilbert-base-uncased-finetuned-sst-2-english": (
        "https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"
    ),
}


class 		__UpperCAmelCase   (      _lowerCamelCase		):
							__lowercase   	= """distilbert"""
							__lowercase   	= {
							    """hidden_size""": """dim""",
							    """num_attention_heads""": """n_heads""",
							    """num_hidden_layers""": """n_layers""",
							}


							def __init__( self					,     lowerCAmelCase_=3_05_22					,     lowerCAmelCase_=5_12					,     lowerCAmelCase_=False					,     lowerCAmelCase_=6					,     lowerCAmelCase_=12					,     lowerCAmelCase_=7_68					,     lowerCAmelCase_=4 * 7_68					,     lowerCAmelCase_=0.1					,     lowerCAmelCase_=0.1					,     lowerCAmelCase_="gelu"					,     lowerCAmelCase_=0.02					,     lowerCAmelCase_=0.1					,     lowerCAmelCase_=0.2					,     lowerCAmelCase_=0					,     **lowerCAmelCase_					,     ):





								"""simple docstring"""






								_snake_case     		=	vocab_size
								_snake_case     		=	max_position_embeddings
								_snake_case     		=	sinusoidal_pos_embds
								_snake_case     		=	n_layers
								_snake_case     		=	n_heads
								_snake_case     		=	dim
								_snake_case     		=	hidden_dim
								_snake_case     		=	dropout
								_snake_case     		=	attention_dropout
								_snake_case     		=	activation
								_snake_case     		=	initializer_range
								_snake_case     		=	qa_dropout
								_snake_case     		=	seq_classif_dropout
								super().__init__(**lowerCAmelCase_					,     pad_token_id=lowerCAmelCase_						)


class 		__UpperCAmelCase   (      _lowerCamelCase		):


							@property
							def 				lowerCamelCase       ( self						):





								"""simple docstring"""






								if self.task == "multiple-choice":
									_snake_case     		=	{0: 'batch', 1: 'choice', 2: 'sequence'}
								else:
									_snake_case     		=	{0: 'batch', 1: 'sequence'}
								return OrderedDict(
								    [
								        ('input_ids', dynamic_axis),
								        ('attention_mask', dynamic_axis),
								    ]						)



'''simple docstring'''







import math







def        SCREAMING_SNAKE_CASE__			(     __A    ,       __A			) ->			float:
	if (
	    not isinstance(__A    ,       (int, float)			)
	    or power_factor < -1
	    or power_factor > 1
	):
		raise ValueError('power_factor must be a valid float value between -1 and 1.'			)
	return apparent_power * power_factor







def        SCREAMING_SNAKE_CASE__			(     __A    ,       __A			) ->			float:
	if (
	    not isinstance(__A    ,       (int, float)			)
	    or power_factor < -1
	    or power_factor > 1
	):
		raise ValueError('power_factor must be a valid float value between -1 and 1.'			)
	return apparent_power * math.sqrt(1 - power_factor**2			)


if __name__ == "__main__":
					import doctest

					doctest.testmod()

