

'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


SCREAMING_SNAKE_CASE_        =      {
    'configuration_roc_bert': ['ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'RoCBertConfig'],
    'tokenization_roc_bert': ['RoCBertTokenizer'],
}

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					pass

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE_        =      [
					    'ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'RoCBertForCausalLM',
					    'RoCBertForMaskedLM',
					    'RoCBertForMultipleChoice',
					    'RoCBertForPreTraining',
					    'RoCBertForQuestionAnswering',
					    'RoCBertForSequenceClassification',
					    'RoCBertForTokenClassification',
					    'RoCBertLayer',
					    'RoCBertModel',
					    'RoCBertPreTrainedModel',
					    'load_tf_weights_in_roc_bert',
					]

if TYPE_CHECKING:
					from .configuration_roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig
					from .tokenization_roc_bert import RoCBertTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										raise OptionalDependencyNotAvailable()

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_roc_bert import (
										    ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    RoCBertForCausalLM,
										    RoCBertForMaskedLM,
										    RoCBertForMultipleChoice,
										    RoCBertForPreTraining,
										    RoCBertForQuestionAnswering,
										    RoCBertForSequenceClassification,
										    RoCBertForTokenClassification,
										    RoCBertLayer,
										    RoCBertModel,
										    RoCBertPreTrainedModel,
										    load_tf_weights_in_roc_bert,
										)


else:
					import sys

					SCREAMING_SNAKE_CASE_        =      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





import fire

from utils import calculate_rouge, save_json

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  int  ,      lowerCAmelCase:  Tuple  ,      lowerCAmelCase:  Any=None  ,      **lowerCAmelCase:  Any )   ->       Dict:
				_UpperCAmelCase       :		Optional[Any] 		=    [x.strip() for x in open(lowerCAmelCase ).readlines()]
				_UpperCAmelCase       :		str 		=    [x.strip() for x in open(lowerCAmelCase ).readlines()][: len(lowerCAmelCase )]
				_UpperCAmelCase       :		str 		=    calculate_rouge(lowerCAmelCase  ,      lowerCAmelCase  ,      **lowerCAmelCase )
				if save_path is not None:
								save_json(lowerCAmelCase  ,      lowerCAmelCase  ,      indent=lowerCAmelCase )
				return metrics  # these print nicely


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


