






"""simple docstring"""


import argparse
import json

from tqdm import tqdm




def     snake_case						():







  '''simple docstring'''

  a  :    str       =     argparse.ArgumentParser()

  # Required parameters
  parser.add_argument(
      '--src_path'			,    type=A_			,    default='biencoder-nq-dev.json'			,    help='Path to raw DPR training data'			,    )
  parser.add_argument(
      '--evaluation_set'			,    type=A_			,    help='where to store parsed evaluation_set file'			,    )
  parser.add_argument(
      '--gold_data_path'			,    type=A_			,    help='where to store parsed gold_data_path file'			,    )
  a  :    Optional[Any]       =     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  :    Tuple       =     json.load(A_   )
    for dpr_record in tqdm(A_   ):
      a  :    Optional[Any]       =     dpr_record['question']
      a  :    Optional[Any]       =     [context['title'] for context in dpr_record['positive_ctxs']]
      eval_file.write(question + '\n'   )
      gold_file.write('\t'.join(A_   ) + '\n'   )


if __name__ == "__main__":
   main()












"""simple docstring"""


import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english






@require_tokenizers
class 		snake_case						(						UpperCAmelCase     ,				unittest.TestCase ):
    __magic_name__					  =  RoCBertTokenizer
    __magic_name__					  =  None
    __magic_name__					  =  False
    __magic_name__					  =  True
    __magic_name__					  =  filter_non_english





    def        lowerCamelCase__   (							self			:      Optional[Any]    ):


      '''simple docstring'''




      super().setUp()

      a  :    str       =     ['[UNK]', '[CLS]', '[SEP]', '[PAD]', '[MASK]', '你', '好', '是', '谁', 'a', 'b', 'c', 'd']
      a  :    List[Any]       =     {}
      a  :    Any       =     {}
      for i, value in enumerate(A    ):
        a  :    Union[str, Any]       =     i
        a  :    str       =     i
      a  :    Optional[int]       =     os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES['vocab_file']    )
      a  :    Tuple       =     os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES['word_shape_file']    )
      a  :    List[Any]       =     os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES['word_pronunciation_file']    )
      with open(self.vocab_file       ,	'w'       ,	encoding='utf-8'    ) as vocab_writer:
        vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]    )    )
      with open(self.word_shape_file       ,	'w'       ,	encoding='utf-8'    ) as word_shape_writer:
        json.dump(A       ,	A       ,	ensure_ascii=A    )
      with open(self.word_pronunciation_file       ,	'w'       ,	encoding='utf-8'    ) as word_pronunciation_writer:
        json.dump(A       ,	A       ,	ensure_ascii=A    )





    def        lowerCamelCase__   (							self			:      Optional[Any]    ):


      '''simple docstring'''




      a  :    int       =     self.tokenizer_class(self.vocab_file       ,	self.word_shape_file       ,	self.word_pronunciation_file    )

      a  :    Any       =     tokenizer.tokenize('你好[SEP]你是谁'    )
      self.assertListEqual(A       ,	['你', '好', '[SEP]', '你', '是', '谁']    )
      self.assertListEqual(tokenizer.convert_tokens_to_ids(A    )       ,	[5, 6, 2, 5, 7, 8]    )
      self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(A    )       ,	[5, 6, 2, 5, 7, 8]    )
      self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(A    )       ,	[5, 6, 2, 5, 7, 8]    )





    def        lowerCamelCase__   (							self			:      str    ):


      '''simple docstring'''




      a  :    List[str]       =     RoCBertBasicTokenizer()

      self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'    )       ,	['ah', '\u535A', '\u63A8', 'zz']    )





    def        lowerCamelCase__   (							self			:      List[str]    ):


      '''simple docstring'''




      a  :    Any       =     RoCBertBasicTokenizer(do_lower_case=A    )

      self.assertListEqual(
          tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '    )       ,	['hello', '!', 'how', 'are', 'you', '?']    )
      self.assertListEqual(tokenizer.tokenize('H\u00E9llo'    )       ,	['hello']    )





    def        lowerCamelCase__   (							self			:      Tuple    ):


      '''simple docstring'''




      a  :    int       =     RoCBertBasicTokenizer(do_lower_case=A       ,	strip_accents=A    )

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '    )       ,	['hällo', '!', 'how', 'are', 'you', '?']    )
      self.assertListEqual(tokenizer.tokenize('H\u00E9llo'    )       ,	['h\u00E9llo']    )





    def        lowerCamelCase__   (							self			:      str    ):


      '''simple docstring'''




      a  :    Union[str, Any]       =     RoCBertBasicTokenizer(do_lower_case=A       ,	strip_accents=A    )

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '    )       ,	['hallo', '!', 'how', 'are', 'you', '?']    )
      self.assertListEqual(tokenizer.tokenize('H\u00E9llo'    )       ,	['hello']    )





    def        lowerCamelCase__   (							self			:      str    ):


      '''simple docstring'''




      a  :    Any       =     RoCBertBasicTokenizer(do_lower_case=A    )

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '    )       ,	['hallo', '!', 'how', 'are', 'you', '?']    )
      self.assertListEqual(tokenizer.tokenize('H\u00E9llo'    )       ,	['hello']    )





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


      '''simple docstring'''




      a  :    Dict       =     RoCBertBasicTokenizer(do_lower_case=A    )

      self.assertListEqual(
          tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '    )       ,	['HeLLo', '!', 'how', 'Are', 'yoU', '?']    )





    def        lowerCamelCase__   (							self			:      int    ):


      '''simple docstring'''




      a  :    List[str]       =     RoCBertBasicTokenizer(do_lower_case=A       ,	strip_accents=A    )

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '    )       ,	['HäLLo', '!', 'how', 'Are', 'yoU', '?']    )





    def        lowerCamelCase__   (							self			:      Dict    ):


      '''simple docstring'''




      a  :    List[str]       =     RoCBertBasicTokenizer(do_lower_case=A       ,	strip_accents=A    )

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '    )       ,	['HaLLo', '!', 'how', 'Are', 'yoU', '?']    )





    def        lowerCamelCase__   (							self			:      str    ):


      '''simple docstring'''




      a  :    Optional[Any]       =     RoCBertBasicTokenizer(do_lower_case=A       ,	never_split=['[UNK]']    )

      self.assertListEqual(
          tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'    )       ,	['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']    )





    def        lowerCamelCase__   (							self			:      int    ):


      '''simple docstring'''




      a  :    Union[str, Any]       =     ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

      a  :    str       =     {}
      for i, token in enumerate(A    ):
        a  :    Union[str, Any]       =     i
      a  :    Any       =     RoCBertWordpieceTokenizer(vocab=A       ,	unk_token='[UNK]'    )

      self.assertListEqual(tokenizer.tokenize(''    )       ,	[]    )

      self.assertListEqual(tokenizer.tokenize('unwanted running'    )       ,	['un', '##want', '##ed', 'runn', '##ing']    )

      self.assertListEqual(tokenizer.tokenize('unwantedX running'    )       ,	['[UNK]', 'runn', '##ing']    )





    def        lowerCamelCase__   (							self			:      Any    ):


      '''simple docstring'''




      self.assertTrue(_is_whitespace(' '    )    )
      self.assertTrue(_is_whitespace('\t'    )    )
      self.assertTrue(_is_whitespace('\r'    )    )
      self.assertTrue(_is_whitespace('\n'    )    )
      self.assertTrue(_is_whitespace('\u00A0'    )    )

      self.assertFalse(_is_whitespace('A'    )    )
      self.assertFalse(_is_whitespace('-'    )    )





    def        lowerCamelCase__   (							self			:      List[Any]    ):


      '''simple docstring'''




      self.assertTrue(_is_control('\u0005'    )    )

      self.assertFalse(_is_control('A'    )    )
      self.assertFalse(_is_control(' '    )    )
      self.assertFalse(_is_control('\t'    )    )
      self.assertFalse(_is_control('\r'    )    )





    def        lowerCamelCase__   (							self			:      Any    ):


      '''simple docstring'''




      self.assertTrue(_is_punctuation('-'    )    )
      self.assertTrue(_is_punctuation('$'    )    )
      self.assertTrue(_is_punctuation('`'    )    )
      self.assertTrue(_is_punctuation('.'    )    )

      self.assertFalse(_is_punctuation('A'    )    )
      self.assertFalse(_is_punctuation(' '    )    )





    def        lowerCamelCase__   (							self			:      List[str]    ):


      '''simple docstring'''




      a  :    List[Any]       =     self.get_tokenizer()

      # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
      self.assertListEqual([tokenizer.tokenize(A    ) for t in ['Test', '\xad', 'test']]       ,	[['[UNK]'], [], ['[UNK]']]    )

      if self.test_rust_tokenizer:
        a  :    str       =     self.get_rust_tokenizer()
        self.assertListEqual(
            [rust_tokenizer.tokenize(A    ) for t in ['Test', '\xad', 'test']]       ,	[['[UNK]'], [], ['[UNK]']]    )





    def        lowerCamelCase__   (							self			:      Dict    ):


      '''simple docstring'''




      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''    ):
          a  :    List[str]       =     self.rust_tokenizer_class.from_pretrained(A       ,	**A    )

          a  :    Any       =     F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
          a  :    str       =     tokenizer_r.encode_plus(
              A       ,	return_attention_mask=A       ,	return_token_type_ids=A       ,	return_offsets_mapping=A       ,	add_special_tokens=A       ,	)

          a  :    int       =     tokenizer_r.do_lower_case if hasattr(A       ,	'do_lower_case'    ) else False
          a  :    Tuple       =     (
              [
                  ((0, 0), tokenizer_r.cls_token),
                  ((0, 1), 'A'),
                  ((1, 2), ','),
                  ((3, 5), 'na'),
                  ((5, 6), '##ï'),
                  ((6, 8), '##ve'),
                  ((9, 1_5), tokenizer_r.mask_token),
                  ((1_6, 2_1), 'Allen'),
                  ((2_1, 2_3), '##NL'),
                  ((2_3, 2_4), '##P'),
                  ((2_5, 3_3), 'sentence'),
                  ((3_3, 3_4), '.'),
                  ((0, 0), tokenizer_r.sep_token),
              ]
              if not do_lower_case
              else [
                  ((0, 0), tokenizer_r.cls_token),
                  ((0, 1), 'a'),
                  ((1, 2), ','),
                  ((3, 8), 'naive'),
                  ((9, 1_5), tokenizer_r.mask_token),
                  ((1_6, 2_1), 'allen'),
                  ((2_1, 2_3), '##nl'),
                  ((2_3, 2_4), '##p'),
                  ((2_5, 3_3), 'sentence'),
                  ((3_3, 3_4), '.'),
                  ((0, 0), tokenizer_r.sep_token),
              ]
          )

          self.assertEqual(
              [e[1] for e in expected_results]       ,	tokenizer_r.convert_ids_to_tokens(tokens['input_ids']    )    )
          self.assertEqual([e[0] for e in expected_results]       ,	tokens['offset_mapping']    )





    def        lowerCamelCase__   (							self			:      Optional[int]    ):


      '''simple docstring'''




      a  :    Union[str, Any]       =     ['的', '人', '有']
      a  :    Tuple       =     ''.join(A    )
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''    ):
          a  :    Optional[int]       =     True
          a  :    Any       =     self.tokenizer_class.from_pretrained(A       ,	**A    )
          a  :    Optional[Any]       =     self.rust_tokenizer_class.from_pretrained(A       ,	**A    )

          a  :    Optional[Any]       =     tokenizer_p.encode(A       ,	add_special_tokens=A    )
          a  :    Dict       =     tokenizer_r.encode(A       ,	add_special_tokens=A    )

          a  :    Union[str, Any]       =     tokenizer_r.convert_ids_to_tokens(A    )
          a  :    Tuple       =     tokenizer_p.convert_ids_to_tokens(A    )

          # it is expected that each Chinese character is not preceded by "##"
          self.assertListEqual(A       ,	A    )
          self.assertListEqual(A       ,	A    )

          a  :    Dict       =     False
          a  :    Any       =     self.rust_tokenizer_class.from_pretrained(A       ,	**A    )
          a  :    List[Any]       =     self.tokenizer_class.from_pretrained(A       ,	**A    )

          a  :    Optional[int]       =     tokenizer_r.encode(A       ,	add_special_tokens=A    )
          a  :    List[str]       =     tokenizer_p.encode(A       ,	add_special_tokens=A    )

          a  :    Union[str, Any]       =     tokenizer_r.convert_ids_to_tokens(A    )
          a  :    Tuple       =     tokenizer_p.convert_ids_to_tokens(A    )

          # it is expected that only the first Chinese character is not preceded by "##".
          a  :    List[str]       =     [
              F'''##{token}''' if idx != 0 else token for idx, token in enumerate(A    )
          ]
          self.assertListEqual(A       ,	A    )
          self.assertListEqual(A       ,	A    )





    @slow
    def        lowerCamelCase__   (							self			:      int    ):


      '''simple docstring'''




      a  :    Dict       =     self.tokenizer_class(self.vocab_file       ,	self.word_shape_file       ,	self.word_pronunciation_file    )

      a  :    List[str]       =     tokenizer.encode('你好'       ,	add_special_tokens=A    )
      a  :    int       =     tokenizer.encode('你是谁'       ,	add_special_tokens=A    )

      a  :    Any       =     tokenizer.build_inputs_with_special_tokens(A    )
      a  :    Tuple       =     tokenizer.build_inputs_with_special_tokens(A       ,	A    )

      assert encoded_sentence == [1] + text + [2]
      assert encoded_pair == [1] + text + [2] + text_a + [2]





    def        lowerCamelCase__   (							self			:      Tuple    ):


      '''simple docstring'''




      a  :    Optional[int]       =     self.get_tokenizers(do_lower_case=A    )
      for tokenizer in tokenizers:
        with self.subTest(F'''{tokenizer.__class__.__name__}'''    ):
          a  :    Dict       =     '你好，你是谁'
          a  :    List[str]       =     tokenizer.tokenize(A    )
          a  :    str       =     tokenizer.convert_tokens_to_ids(A    )
          a  :    str       =     tokenizer.convert_tokens_to_shape_ids(A    )
          a  :    Union[str, Any]       =     tokenizer.convert_tokens_to_pronunciation_ids(A    )
          a  :    Any       =     tokenizer.prepare_for_model(
              A       ,	A       ,	A       ,	add_special_tokens=A    )

          a  :    Union[str, Any]       =     tokenizer.encode_plus(A       ,	add_special_tokens=A    )

          self.assertEqual(A       ,	A    )




