
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCAmelCase					=			logging.get_logger(__name__)

__lowerCAmelCase					=			{
    'uw-madison/mra-base-512-4': 'https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json',
}


class      _lowerCAmelCase       (       __snake_case ):







							'''simple docstring'''

							lowerCAmelCase_   		=		"mra"

							def __init__(self    ,    UpperCAmelCase=50265    ,    UpperCAmelCase=768    ,    UpperCAmelCase=12    ,    UpperCAmelCase=12    ,    UpperCAmelCase=3072    ,    UpperCAmelCase="gelu"    ,    UpperCAmelCase=0.1    ,    UpperCAmelCase=0.1    ,    UpperCAmelCase=512    ,    UpperCAmelCase=1    ,    UpperCAmelCase=0.02    ,    UpperCAmelCase=1e-5    ,    UpperCAmelCase="absolute"    ,    UpperCAmelCase=4    ,    UpperCAmelCase="full"    ,    UpperCAmelCase=0    ,    UpperCAmelCase=0    ,    UpperCAmelCase=1    ,    UpperCAmelCase=0    ,    UpperCAmelCase=2    ,    **UpperCAmelCase    ,    )	->  Optional[int]:
														super().__init__(pad_token_id=SCREAMING_SNAKE_CASE__    ,    bos_token_id=SCREAMING_SNAKE_CASE__    ,    eos_token_id=SCREAMING_SNAKE_CASE__    ,    **SCREAMING_SNAKE_CASE__    )

														_snake_case  =    vocab_size
														_snake_case  =    max_position_embeddings
														_snake_case  =    hidden_size
														_snake_case  =    num_hidden_layers
														_snake_case  =    num_attention_heads
														_snake_case  =    intermediate_size
														_snake_case  =    hidden_act
														_snake_case  =    hidden_dropout_prob
														_snake_case  =    attention_probs_dropout_prob
														_snake_case  =    initializer_range
														_snake_case  =    type_vocab_size
														_snake_case  =    layer_norm_eps
														_snake_case  =    position_embedding_type
														_snake_case  =    block_per_row
														_snake_case  =    approx_mode
														_snake_case  =    initial_prior_first_n_blocks
														_snake_case  =    initial_prior_diagonal_n_blocks

import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format
class       _lowerCAmelCase  :

 """simple docstring"""
 SCREAMING_SNAKE_CASE_				:					Optional[Any]       						=None

 def      __lowerCAmelCase  (						self			:			Union[str, Any]   ):






      """simple docstring"""



      UpperCamelCase						    =					self.feature_extraction_class(**self.feat_extract_dict   )
      UpperCamelCase						    =					json.loads(feat_extract.to_json_string()   )
      for key, value in self.feat_extract_dict.items():
           self.assertEqual(obj[key]					, SCREAMING_SNAKE_CASE__   )

 def      __lowerCAmelCase  (						self			:			Tuple   ):






      """simple docstring"""



      UpperCamelCase						    =					self.feature_extraction_class(**self.feat_extract_dict   )

      with tempfile.TemporaryDirectory() as tmpdirname:
           UpperCamelCase						    =					os.path.join(SCREAMING_SNAKE_CASE__					, 'feat_extract.json'   )
           feat_extract_first.to_json_file(SCREAMING_SNAKE_CASE__   )
           UpperCamelCase						    =					self.feature_extraction_class.from_json_file(SCREAMING_SNAKE_CASE__   )

      self.assertEqual(feat_extract_second.to_dict()					, feat_extract_first.to_dict()   )

 def      __lowerCAmelCase  (						self			:			Tuple   ):






      """simple docstring"""



      UpperCamelCase						    =					self.feature_extraction_class(**self.feat_extract_dict   )

      with tempfile.TemporaryDirectory() as tmpdirname:
           UpperCamelCase						    =					feat_extract_first.save_pretrained(SCREAMING_SNAKE_CASE__   )[0]
           check_json_file_has_correct_format(SCREAMING_SNAKE_CASE__   )
           UpperCamelCase						    =					self.feature_extraction_class.from_pretrained(SCREAMING_SNAKE_CASE__   )

      self.assertEqual(feat_extract_second.to_dict()					, feat_extract_first.to_dict()   )






 def      __lowerCAmelCase  (						self			:			Union[str, Any]   ):






      """simple docstring"""



      UpperCamelCase						    =					self.feature_extraction_class()
      self.assertIsNotNone(SCREAMING_SNAKE_CASE__   )


