





'''simple docstring'''


import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class       UpperCamelCase__  (		__lowerCAmelCase	,unittest.TestCase     ):
	lowerCAmelCase__					:			Union[str, Any]								=						LxmertTokenizer
	lowerCAmelCase__					:			str								=						LxmertTokenizerFast
	lowerCAmelCase__					:			Dict								=						True
	lowerCAmelCase__					:			int								=						True







	def 						__a   (				self			:   List[Any]		):




				'''simple docstring'''
				super().setUp()

				a__     = [
				    "[UNK]",
				    "[CLS]",
				    "[SEP]",
				    "want",
				    "##want",
				    "##ed",
				    "wa",
				    "un",
				    "runn",
				    "##ing",
				    ",",
				    "low",
				    "lowest",
				]
				a__     = os.path.join(self.tmpdirname , VOCAB_FILES_NAMES["vocab_file"]		)
				with open(self.vocab_file , "w" , encoding="utf-8"		) as vocab_writer:
							vocab_writer.write("".join([x + "\n" for x in vocab_tokens]		)		)







	def 						__a   (				self			:   Optional[Any] , lowerCamelCase			:   Optional[int]		):




				'''simple docstring'''
				a__     = "UNwant\u00E9d,running"
				a__     = "unwanted, running"
				return input_text, output_text







	def 						__a   (				self			:   int		):




				'''simple docstring'''
				a__     = self.tokenizer_class(self.vocab_file		)

				a__     = tokenizer.tokenize("UNwant\u00E9d,running"		)
				self.assertListEqual(lowerCamelCase , ["un", "##want", "##ed", ",", "runn", "##ing"]		)
				self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase		) , [7, 4, 5, 1_0, 8, 9]		)







	def 						__a   (				self			:   Tuple		):




				'''simple docstring'''
				if not self.test_rust_tokenizer:
							return

				a__     = self.get_tokenizer()
				a__     = self.get_rust_tokenizer()

				a__     = "I was born in 92000, and this is falsé."

				a__     = tokenizer.tokenize(lowerCamelCase		)
				a__     = rust_tokenizer.tokenize(lowerCamelCase		)
				self.assertListEqual(lowerCamelCase , lowerCamelCase		)

				a__     = tokenizer.encode(lowerCamelCase , add_special_tokens=lowerCamelCase		)
				a__     = rust_tokenizer.encode(lowerCamelCase , add_special_tokens=lowerCamelCase		)
				self.assertListEqual(lowerCamelCase , lowerCamelCase		)

				a__     = self.get_rust_tokenizer()
				a__     = tokenizer.encode(lowerCamelCase		)
				a__     = rust_tokenizer.encode(lowerCamelCase		)
				self.assertListEqual(lowerCamelCase , lowerCamelCase		)










'''simple docstring'''


import argparse
import json

from tqdm import tqdm







def    _lowerCamelCase  ()   ->    Any:
			a__     = 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"					,  )
			a__     = 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:
						a__     = json.load(__lowerCamelCase     )
						for dpr_record in tqdm(__lowerCamelCase     ):
									a__     = dpr_record["question"]
									a__     = [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()



