






'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


SCREAMING_SNAKE_CASE__											=     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__											=     {
    'google/bigbird-roberta-base': 'https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json',
    'google/bigbird-roberta-large': 'https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json',
    'google/bigbird-base-trivia-itc': 'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json',
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}






class        a_		(    lowerCamelCase       ):
  lowercase  	=   """big_bird"""

  def __init__(   self    ,	_SCREAMING_SNAKE_CASE=50358    ,	_SCREAMING_SNAKE_CASE=768    ,	_SCREAMING_SNAKE_CASE=12    ,	_SCREAMING_SNAKE_CASE=12    ,	_SCREAMING_SNAKE_CASE=3072    ,	_SCREAMING_SNAKE_CASE="gelu_new"    ,	_SCREAMING_SNAKE_CASE=0.1    ,	_SCREAMING_SNAKE_CASE=0.1    ,	_SCREAMING_SNAKE_CASE=4096    ,	_SCREAMING_SNAKE_CASE=2    ,	_SCREAMING_SNAKE_CASE=0.0_2    ,	_SCREAMING_SNAKE_CASE=1e-12    ,	_SCREAMING_SNAKE_CASE=True    ,	_SCREAMING_SNAKE_CASE=0    ,	_SCREAMING_SNAKE_CASE=1    ,	_SCREAMING_SNAKE_CASE=2    ,	_SCREAMING_SNAKE_CASE=66    ,	_SCREAMING_SNAKE_CASE="block_sparse"    ,	_SCREAMING_SNAKE_CASE=True    ,	_SCREAMING_SNAKE_CASE=False    ,	_SCREAMING_SNAKE_CASE=64    ,	_SCREAMING_SNAKE_CASE=3    ,	_SCREAMING_SNAKE_CASE=None    ,	**_SCREAMING_SNAKE_CASE    ,	)						->   Optional[int]:



        """simple docstring"""






        super().__init__(
            pad_token_id=_SCREAMING_SNAKE_CASE    ,	bos_token_id=_SCREAMING_SNAKE_CASE    ,	eos_token_id=_SCREAMING_SNAKE_CASE    ,	sep_token_id=_SCREAMING_SNAKE_CASE    ,	**_SCREAMING_SNAKE_CASE    ,	)

        UpperCamelCase       						=      vocab_size
        UpperCamelCase       						=      max_position_embeddings
        UpperCamelCase       						=      hidden_size
        UpperCamelCase       						=      num_hidden_layers
        UpperCamelCase       						=      num_attention_heads
        UpperCamelCase       						=      intermediate_size
        UpperCamelCase       						=      hidden_act
        UpperCamelCase       						=      hidden_dropout_prob
        UpperCamelCase       						=      attention_probs_dropout_prob
        UpperCamelCase       						=      initializer_range
        UpperCamelCase       						=      type_vocab_size
        UpperCamelCase       						=      layer_norm_eps
        UpperCamelCase       						=      use_cache

        UpperCamelCase       						=      rescale_embeddings
        UpperCamelCase       						=      attention_type
        UpperCamelCase       						=      use_bias
        UpperCamelCase       						=      block_size
        UpperCamelCase       						=      num_random_blocks
        UpperCamelCase       						=      classifier_dropout






class        a_		(    lowerCamelCase       ):

  @property
  def 						A__		(   self   )						->   Mapping[str, Mapping[int, str]]:



        """simple docstring"""






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








'''simple docstring'''

import fire

from utils import calculate_rouge, save_json







def 					lowercase__				(   __UpperCamelCase	,		__UpperCamelCase	,		__UpperCamelCase=None	,		**__UpperCamelCase					)->				int:
      UpperCamelCase       						=      [x.strip() for x in open(__UpperCamelCase					).readlines()]
      UpperCamelCase       						=      [x.strip() for x in open(__UpperCamelCase					).readlines()][: len(__UpperCamelCase					)]
      UpperCamelCase       						=      calculate_rouge(__UpperCamelCase	,		__UpperCamelCase	,		**__UpperCamelCase					)
      if save_path is not None:
            save_json(__UpperCamelCase	,		__UpperCamelCase	,		indent=__UpperCamelCase					)
      return metrics  # these print nicely


if __name__ == "__main__":
     fire.Fire(calculate_rouge_path)
