

from collections import OrderedDict
from typing import Mapping

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


A									=  logging.get_logger(__name__)

A									=  {
    'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/config.json',
    'umberto-commoncrawl-cased-v1': (
        'https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json'
    ),
    'umberto-wikipedia-uncased-v1': (
        'https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json'
    ),
}


class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""camembert"""


			def __init__(     self			,					__UpperCamelCase=3_05_22			,					__UpperCamelCase=7_68			,					__UpperCamelCase=12			,					__UpperCamelCase=12			,					__UpperCamelCase=30_72			,					__UpperCamelCase="gelu"			,					__UpperCamelCase=0.1			,					__UpperCamelCase=0.1			,					__UpperCamelCase=5_12			,					__UpperCamelCase=2			,					__UpperCamelCase=0.02			,					__UpperCamelCase=1E-12			,					__UpperCamelCase=1			,					__UpperCamelCase=0			,					__UpperCamelCase=2			,					__UpperCamelCase="absolute"			,					__UpperCamelCase=True			,					__UpperCamelCase=None			,					**__UpperCamelCase			,					):

				"""simple docstring"""


				super().__init__(pad_token_id=__UpperCamelCase			,					bos_token_id=__UpperCamelCase			,					eos_token_id=__UpperCamelCase			,					**__UpperCamelCase				)

				snake_case_   		=			vocab_size
				snake_case_   		=			hidden_size
				snake_case_   		=			num_hidden_layers
				snake_case_   		=			num_attention_heads
				snake_case_   		=			hidden_act
				snake_case_   		=			intermediate_size
				snake_case_   		=			hidden_dropout_prob
				snake_case_   		=			attention_probs_dropout_prob
				snake_case_   		=			max_position_embeddings
				snake_case_   		=			type_vocab_size
				snake_case_   		=			initializer_range
				snake_case_   		=			layer_norm_eps
				snake_case_   		=			position_embedding_type
				snake_case_   		=			use_cache
				snake_case_   		=			classifier_dropout







class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			@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),
				    ]				)



import unittest

from accelerate import debug_launcher
from accelerate.test_utils import require_cpu, test_ops, test_script


@require_cpu
class SCREAMING_SNAKE_CASE	(		unittest.TestCase				):






			"""simple docstring"""




			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				debug_launcher(test_script.main				)







			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				debug_launcher(test_ops.main				)
