


"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

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


_lowerCamelCase  =	logging.get_logger(__name__)

_lowerCamelCase  =	{
    'squeezebert/squeezebert-uncased': (
        'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json'
    ),
    'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json',
    'squeezebert/squeezebert-mnli-headless': (
        'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json'
    ),
}


class       lowerCamelCase_		(      lowercase ):





				"""simple docstring"""







				_lowerCAmelCase   :   Optional[int]   				=       SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
				_lowerCAmelCase   :   int   				=       "squeezebert"



				def __init__(    self							,		UpperCAmelCase__=3_0522							,		UpperCAmelCase__=768							,		UpperCAmelCase__=12							,		UpperCAmelCase__=12							,		UpperCAmelCase__=3072							,		UpperCAmelCase__="gelu"							,		UpperCAmelCase__=0.1							,		UpperCAmelCase__=0.1							,		UpperCAmelCase__=512							,		UpperCAmelCase__=2							,		UpperCAmelCase__=0.02							,		UpperCAmelCase__=1e-12							,		UpperCAmelCase__=0							,		UpperCAmelCase__=768							,		UpperCAmelCase__=4							,		UpperCAmelCase__=4							,		UpperCAmelCase__=4							,		UpperCAmelCase__=1							,		UpperCAmelCase__=4							,		UpperCAmelCase__=4							,		**UpperCAmelCase__							,		):
								super().__init__(pad_token_id=UpperCAmelCase__							,		**UpperCAmelCase__  )

								SCREAMING_SNAKE_CASE__  				=					vocab_size
								SCREAMING_SNAKE_CASE__  				=					hidden_size
								SCREAMING_SNAKE_CASE__  				=					num_hidden_layers
								SCREAMING_SNAKE_CASE__  				=					num_attention_heads
								SCREAMING_SNAKE_CASE__  				=					hidden_act
								SCREAMING_SNAKE_CASE__  				=					intermediate_size
								SCREAMING_SNAKE_CASE__  				=					hidden_dropout_prob
								SCREAMING_SNAKE_CASE__  				=					attention_probs_dropout_prob
								SCREAMING_SNAKE_CASE__  				=					max_position_embeddings
								SCREAMING_SNAKE_CASE__  				=					type_vocab_size
								SCREAMING_SNAKE_CASE__  				=					initializer_range
								SCREAMING_SNAKE_CASE__  				=					layer_norm_eps
								SCREAMING_SNAKE_CASE__  				=					embedding_size
								SCREAMING_SNAKE_CASE__  				=					q_groups
								SCREAMING_SNAKE_CASE__  				=					k_groups
								SCREAMING_SNAKE_CASE__  				=					v_groups
								SCREAMING_SNAKE_CASE__  				=					post_attention_groups
								SCREAMING_SNAKE_CASE__  				=					intermediate_groups
								SCREAMING_SNAKE_CASE__  				=					output_groups


class       lowerCamelCase_		(      lowercase ):





				"""simple docstring"""







				@property
				def 	lowerCAmelCase__		(    self  ):
								if self.task == "multiple-choice":
												SCREAMING_SNAKE_CASE__  				=					{0: "batch", 1: "choice", 2: "sequence"}
								else:
												SCREAMING_SNAKE_CASE__  				=					{0: "batch", 1: "sequence"}
								return OrderedDict(
								    [
								        ("input_ids", dynamic_axis),
								        ("attention_mask", dynamic_axis),
								        ("token_type_ids", dynamic_axis),
								    ]  )




"""simple docstring"""






def __lowercase  (   lowerCamelCase_	:   list	):
				if not isinstance(lowerCamelCase_    ,       lowerCamelCase_	):
								raise ValueError("Input series is not valid, valid series - [2, 4, 8]"	)
				if len(lowerCamelCase_	) == 0:
								raise ValueError("Input list must be a non empty list"	)
				if len(lowerCamelCase_	) == 1:
								return True
				try:
								SCREAMING_SNAKE_CASE__  				=					series[1] / series[0]
								for index in range(len(lowerCamelCase_	) - 1	):
												if series[index + 1] / series[index] != common_ratio:
																return False
				except ZeroDivisionError:
								return False
				return True


def __lowercase  (   lowerCamelCase_	:   list	):
				if not isinstance(lowerCamelCase_    ,       lowerCamelCase_	):
								raise ValueError("Input series is not valid, valid series - [2, 4, 8]"	)
				if len(lowerCamelCase_	) == 0:
								raise ValueError("Input list must be a non empty list"	)
				SCREAMING_SNAKE_CASE__  				=					1
				for value in series:
								answer *= value
				return pow(lowerCamelCase_    ,       1 / len(lowerCamelCase_	)	)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
