



'''simple docstring'''



import argparse
import json

from tqdm import tqdm



def   _A       (   ):



							"""simple docstring"""



							__lowercase       	=argparse.ArgumentParser()

							# Required parameters
							parser.add_argument(
							    '--src_path'  ,   type=_lowerCAmelCase  ,   default='biencoder-nq-dev.json'  ,   help='Path to raw DPR training data'  ,   )
							parser.add_argument(
							    '--evaluation_set'  ,   type=_lowerCAmelCase  ,   help='where to store parsed evaluation_set file'  ,   )
							parser.add_argument(
							    '--gold_data_path'  ,   type=_lowerCAmelCase  ,   help='where to store parsed gold_data_path file'  ,   )
							__lowercase       	=parser.parse_args()

							with open(args.src_path  ,   'r'					) as src_file, open(args.evaluation_set  ,   'w'					) as eval_file, open(
							    args.gold_data_path  ,   'w'					) as gold_file:
														__lowercase       	=json.load(_lowerCAmelCase					)
														for dpr_record in tqdm(_lowerCAmelCase					):
																					__lowercase       	=dpr_record['question']
																					__lowercase       	=[context['title'] for context in dpr_record['positive_ctxs']]
																					eval_file.write(question + '\n'					)
																					gold_file.write('\t'.join(_lowerCAmelCase					) + '\n'					)


if __name__ == "__main__":
		main()








'''simple docstring'''



from typing import TYPE_CHECKING

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


lowerCamelCase	 =       {
    """configuration_mask2former""": [
        """MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """Mask2FormerConfig""",
    ],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCamelCase	 =       ["""Mask2FormerImageProcessor"""]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCamelCase	 =       [
		    """MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """Mask2FormerForUniversalSegmentation""",
		    """Mask2FormerModel""",
		    """Mask2FormerPreTrainedModel""",
		]

if TYPE_CHECKING:
		from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_maskaformer import MaskaFormerImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_maskaformer import (
				    MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MaskaFormerForUniversalSegmentation,
				    MaskaFormerModel,
				    MaskaFormerPreTrainedModel,
				)


else:
		import sys

		lowerCamelCase	 =       _LazyModule(__name__, globals()["""__file__"""], _import_structure)



