


"""simple docstring"""


import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class   _a      (      SCREAMING_SNAKE_CASE_		,		unittest.TestCase ):
    a_    :				Optional[int]             =    LongformerTokenizer
    a_    :				Union[str, Any]             =    True
    a_    :				Tuple             =    LongformerTokenizerFast
    a_    :				Any             =    True
    def      _UpperCamelCase       ( self							:					Dict				):
          super().setUp()

          # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
          lowerCamelCase__           =		[
              'l',
              'o',
              'w',
              'e',
              'r',
              's',
              't',
              'i',
              'd',
              'n',
              '\u0120',
              '\u0120l',
              '\u0120n',
              '\u0120lo',
              '\u0120low',
              'er',
              '\u0120lowest',
              '\u0120newer',
              '\u0120wider',
              '<unk>',
          ]
          lowerCamelCase__           =		dict(zip(SCREAMING_SNAKE_CASE__							,					range(len(SCREAMING_SNAKE_CASE__				)				)				)				)
          lowerCamelCase__           =		['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
          lowerCamelCase__           =		{'unk_token': '<unk>'}

          lowerCamelCase__           =		os.path.join(self.tmpdirname							,					VOCAB_FILES_NAMES['vocab_file']				)
          lowerCamelCase__           =		os.path.join(self.tmpdirname							,					VOCAB_FILES_NAMES['merges_file']				)
          with open(self.vocab_file							,					'w'							,					encoding='utf-8'				) as fp:
                fp.write(json.dumps(SCREAMING_SNAKE_CASE__				) + '\n'				)
          with open(self.merges_file							,					'w'							,					encoding='utf-8'				) as fp:
                fp.write('\n'.join(SCREAMING_SNAKE_CASE__				)				)
    def      _UpperCamelCase       ( self							:					Optional[Any]							,					**SCREAMING_SNAKE_CASE__							:					Tuple				):
          kwargs.update(self.special_tokens_map				)
          return self.tokenizer_class.from_pretrained(self.tmpdirname							,					**SCREAMING_SNAKE_CASE__				)
    def      _UpperCamelCase       ( self							:					int							,					**SCREAMING_SNAKE_CASE__							:					Any				):
          kwargs.update(self.special_tokens_map				)
          return self.rust_tokenizer_class.from_pretrained(self.tmpdirname							,					**SCREAMING_SNAKE_CASE__				)
    def      _UpperCamelCase       ( self							:					int							,					SCREAMING_SNAKE_CASE__							:					str				):
          lowerCamelCase__           =		'lower newer'
          lowerCamelCase__           =		'lower newer'
          return input_text, output_text
    def      _UpperCamelCase       ( self							:					Optional[int]				):
          lowerCamelCase__           =		self.tokenizer_class(self.vocab_file							,					self.merges_file							,					**self.special_tokens_map				)
          lowerCamelCase__           =		'lower newer'
          lowerCamelCase__           =		['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
          lowerCamelCase__           =		tokenizer.tokenize(SCREAMING_SNAKE_CASE__				)  # , add_prefix_space=True)
          self.assertListEqual(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)

          lowerCamelCase__           =		tokens + [tokenizer.unk_token]
          lowerCamelCase__           =		[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__				)							,					SCREAMING_SNAKE_CASE__				)
    def      _UpperCamelCase       ( self							:					str				):
          lowerCamelCase__           =		self.get_tokenizer()

          self.assertListEqual(tokenizer.encode('Hello world!'							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)							,					[0, 3_14_14, 2_32, 3_28, 2]				)
          self.assertListEqual(
              tokenizer.encode('Hello world! cécé herlolip 418'							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)							,					[0, 3_14_14, 2_32, 3_28, 7_40, 11_40, 1_26_95, 69, 4_60_78, 15_88, 2]							,					)
    @slow
    def      _UpperCamelCase       ( self							:					Union[str, Any]				):
          lowerCamelCase__           =		self.tokenizer_class.from_pretrained('allenai/longformer-base-4096'				)

          lowerCamelCase__           =		tokenizer.encode('sequence builders'							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		tokenizer.encode('multi-sequence build'							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)

          lowerCamelCase__           =		tokenizer.encode(
              'sequence builders'							,					add_special_tokens=SCREAMING_SNAKE_CASE__							,					add_prefix_space=SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		tokenizer.encode(
              'sequence builders'							,					'multi-sequence build'							,					add_special_tokens=SCREAMING_SNAKE_CASE__							,					add_prefix_space=SCREAMING_SNAKE_CASE__				)

          lowerCamelCase__           =		tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)

          assert encoded_sentence == encoded_text_from_decode
          assert encoded_pair == encoded_pair_from_decode
    def      _UpperCamelCase       ( self							:					Optional[int]				):
          lowerCamelCase__           =		self.get_tokenizer()

          lowerCamelCase__           =		'Encode this sequence.'
          lowerCamelCase__           =		tokenizer.byte_encoder[' '.encode('utf-8'				)[0]]

          # Testing encoder arguments
          lowerCamelCase__           =		tokenizer.encode(SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__							,					add_prefix_space=SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		tokenizer.convert_ids_to_tokens(encoded[0]				)[0]
          self.assertNotEqual(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)

          lowerCamelCase__           =		tokenizer.encode(SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__							,					add_prefix_space=SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		tokenizer.convert_ids_to_tokens(encoded[0]				)[0]
          self.assertEqual(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)

          tokenizer.add_special_tokens({'bos_token': '<s>'}				)
          lowerCamelCase__           =		tokenizer.encode(SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		tokenizer.convert_ids_to_tokens(encoded[1]				)[0]
          self.assertNotEqual(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)

          # Testing spaces after special tokens
          lowerCamelCase__           =		'<mask>'
          tokenizer.add_special_tokens(
              {'mask_token': AddedToken(SCREAMING_SNAKE_CASE__							,					lstrip=SCREAMING_SNAKE_CASE__							,					rstrip=SCREAMING_SNAKE_CASE__				)}				)  # mask token has a left space
          lowerCamelCase__           =		tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__				)

          lowerCamelCase__           =		'Encode <mask> sequence'
          lowerCamelCase__           =		'Encode <mask>sequence'

          lowerCamelCase__           =		tokenizer.encode(SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		encoded.index(SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]				)[0]
          self.assertEqual(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)

          lowerCamelCase__           =		tokenizer.encode(SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		encoded.index(SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]				)[0]
          self.assertNotEqual(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)
    def      _UpperCamelCase       ( self							:					Optional[int]				):
          pass
    def      _UpperCamelCase       ( self							:					List[Any]				):
          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'				):
                      lowerCamelCase__           =		self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__							,					**SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__							,					**SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		'A, <mask> AllenNLP sentence.'
                      lowerCamelCase__           =		tokenizer_r.encode_plus(SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__							,					return_token_type_ids=SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer_p.encode_plus(SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__							,					return_token_type_ids=SCREAMING_SNAKE_CASE__				)

                      # token_type_ids should put 0 everywhere
                      self.assertEqual(sum(tokens_r['token_type_ids']				)							,					sum(tokens_p['token_type_ids']				)				)

                      # attention_mask should put 1 everywhere, so sum over length should be 1
                      self.assertEqual(
                          sum(tokens_r['attention_mask']				) / len(tokens_r['attention_mask']				)							,					sum(tokens_p['attention_mask']				) / len(tokens_p['attention_mask']				)							,					)

                      lowerCamelCase__           =		tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']				)
                      lowerCamelCase__           =		tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids']				)

                      # Rust correctly handles the space before the mask while python doesnt
                      self.assertSequenceEqual(tokens_p['input_ids']							,					[0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]				)
                      self.assertSequenceEqual(tokens_r['input_ids']							,					[0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]				)

                      self.assertSequenceEqual(
                          SCREAMING_SNAKE_CASE__							,					['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']				)
                      self.assertSequenceEqual(
                          SCREAMING_SNAKE_CASE__							,					['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']				)
    def      _UpperCamelCase       ( self							:					Optional[Any]				):
          for trim_offsets, add_prefix_space in itertools.product([True, False]							,					repeat=2				):
                lowerCamelCase__           =		self.rust_tokenizer_class.from_pretrained(
                    self.tmpdirname							,					use_fast=SCREAMING_SNAKE_CASE__							,					add_prefix_space=SCREAMING_SNAKE_CASE__							,					trim_offsets=SCREAMING_SNAKE_CASE__				)

                lowerCamelCase__           =		json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()				)
                lowerCamelCase__           =		json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()				)

                self.assertEqual(pre_tokenizer_state['add_prefix_space']							,					SCREAMING_SNAKE_CASE__				)

                self.assertEqual(post_processor_state['add_prefix_space']							,					SCREAMING_SNAKE_CASE__				)
                self.assertEqual(post_processor_state['trim_offsets']							,					SCREAMING_SNAKE_CASE__				)


    def      _UpperCamelCase       ( self							:					Union[str, Any]				):
          # Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
          # `trim_offsets`
          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'				):
                      lowerCamelCase__           =		'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
                      lowerCamelCase__           =		F'{text_of_1_token} {text_of_1_token}'

                      lowerCamelCase__           =		self.rust_tokenizer_class.from_pretrained(
                          SCREAMING_SNAKE_CASE__							,					use_fast=SCREAMING_SNAKE_CASE__							,					add_prefix_space=SCREAMING_SNAKE_CASE__							,					trim_offsets=SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer_r(SCREAMING_SNAKE_CASE__							,					return_offsets_mapping=SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)
                      self.assertEqual(encoding.offset_mapping[0]							,					(0, len(SCREAMING_SNAKE_CASE__				))				)
                      self.assertEqual(
                          encoding.offset_mapping[1]							,					(len(SCREAMING_SNAKE_CASE__				) + 1, len(SCREAMING_SNAKE_CASE__				) + 1 + len(SCREAMING_SNAKE_CASE__				))							,					)

                      lowerCamelCase__           =		self.rust_tokenizer_class.from_pretrained(
                          SCREAMING_SNAKE_CASE__							,					use_fast=SCREAMING_SNAKE_CASE__							,					add_prefix_space=SCREAMING_SNAKE_CASE__							,					trim_offsets=SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer_r(SCREAMING_SNAKE_CASE__							,					return_offsets_mapping=SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)
                      self.assertEqual(encoding.offset_mapping[0]							,					(0, len(SCREAMING_SNAKE_CASE__				))				)
                      self.assertEqual(
                          encoding.offset_mapping[1]							,					(len(SCREAMING_SNAKE_CASE__				) + 1, len(SCREAMING_SNAKE_CASE__				) + 1 + len(SCREAMING_SNAKE_CASE__				))							,					)

                      lowerCamelCase__           =		self.rust_tokenizer_class.from_pretrained(
                          SCREAMING_SNAKE_CASE__							,					use_fast=SCREAMING_SNAKE_CASE__							,					add_prefix_space=SCREAMING_SNAKE_CASE__							,					trim_offsets=SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer_r(SCREAMING_SNAKE_CASE__							,					return_offsets_mapping=SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)
                      self.assertEqual(encoding.offset_mapping[0]							,					(0, len(SCREAMING_SNAKE_CASE__				))				)
                      self.assertEqual(
                          encoding.offset_mapping[1]							,					(len(SCREAMING_SNAKE_CASE__				), len(SCREAMING_SNAKE_CASE__				) + 1 + len(SCREAMING_SNAKE_CASE__				))							,					)

                      lowerCamelCase__           =		self.rust_tokenizer_class.from_pretrained(
                          SCREAMING_SNAKE_CASE__							,					use_fast=SCREAMING_SNAKE_CASE__							,					add_prefix_space=SCREAMING_SNAKE_CASE__							,					trim_offsets=SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer_r(SCREAMING_SNAKE_CASE__							,					return_offsets_mapping=SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)
                      self.assertEqual(encoding.offset_mapping[0]							,					(0, len(SCREAMING_SNAKE_CASE__				))				)
                      self.assertEqual(
                          encoding.offset_mapping[1]							,					(len(SCREAMING_SNAKE_CASE__				), len(SCREAMING_SNAKE_CASE__				) + 1 + len(SCREAMING_SNAKE_CASE__				))							,					)

                      lowerCamelCase__           =		F' {text}'

                      # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
                      #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
                      # )
                      # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
                      # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
                      # self.assertEqual(
                      #     encoding.offset_mapping[1],
                      #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
                      # )

                      lowerCamelCase__           =		self.rust_tokenizer_class.from_pretrained(
                          SCREAMING_SNAKE_CASE__							,					use_fast=SCREAMING_SNAKE_CASE__							,					add_prefix_space=SCREAMING_SNAKE_CASE__							,					trim_offsets=SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer_r(SCREAMING_SNAKE_CASE__							,					return_offsets_mapping=SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)
                      self.assertEqual(encoding.offset_mapping[0]							,					(1, 1 + len(SCREAMING_SNAKE_CASE__				))				)
                      self.assertEqual(
                          encoding.offset_mapping[1]							,					(1 + len(SCREAMING_SNAKE_CASE__				) + 1, 1 + len(SCREAMING_SNAKE_CASE__				) + 1 + len(SCREAMING_SNAKE_CASE__				))							,					)

                      lowerCamelCase__           =		self.rust_tokenizer_class.from_pretrained(
                          SCREAMING_SNAKE_CASE__							,					use_fast=SCREAMING_SNAKE_CASE__							,					add_prefix_space=SCREAMING_SNAKE_CASE__							,					trim_offsets=SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer_r(SCREAMING_SNAKE_CASE__							,					return_offsets_mapping=SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)
                      self.assertEqual(encoding.offset_mapping[0]							,					(0, 1 + len(SCREAMING_SNAKE_CASE__				))				)
                      self.assertEqual(
                          encoding.offset_mapping[1]							,					(1 + len(SCREAMING_SNAKE_CASE__				), 1 + len(SCREAMING_SNAKE_CASE__				) + 1 + len(SCREAMING_SNAKE_CASE__				))							,					)

                      lowerCamelCase__           =		self.rust_tokenizer_class.from_pretrained(
                          SCREAMING_SNAKE_CASE__							,					use_fast=SCREAMING_SNAKE_CASE__							,					add_prefix_space=SCREAMING_SNAKE_CASE__							,					trim_offsets=SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer_r(SCREAMING_SNAKE_CASE__							,					return_offsets_mapping=SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)
                      self.assertEqual(encoding.offset_mapping[0]							,					(0, 1 + len(SCREAMING_SNAKE_CASE__				))				)
                      self.assertEqual(
                          encoding.offset_mapping[1]							,					(1 + len(SCREAMING_SNAKE_CASE__				), 1 + len(SCREAMING_SNAKE_CASE__				) + 1 + len(SCREAMING_SNAKE_CASE__				))							,					)







"""simple docstring"""


def   snake_case						(				_a:     list[list[float]]							)->		list[list[float]]:
      '''simple docstring'''


      lowerCamelCase__           =		[]
      for data in source_data:
            for i, el in enumerate(_a							):
                  if len(_a							) < i + 1:
                        data_lists.append([]							)
                  data_lists[i].append(float(_a							)							)
      return data_lists



def   snake_case						(				_a:     list[list[float]]		,   _a:     list[int]							)->		list[list[float]]:
      '''simple docstring'''


      lowerCamelCase__           =		[]
      for dlist, weight in zip(_a		,   _a							):
            lowerCamelCase__           =		min(_a							)
            lowerCamelCase__           =		max(_a							)

            lowerCamelCase__           =		[]
            # for weight 0 score is 1 - actual score
            if weight == 0:
                  for item in dlist:
                        try:
                              score.append(1 - ((item - mind) / (maxd - mind))							)
                        except ZeroDivisionError:
                              score.append(1							)

            elif weight == 1:
                  for item in dlist:
                        try:
                              score.append((item - mind) / (maxd - mind)							)
                        except ZeroDivisionError:
                              score.append(0							)

        # weight not 0 or 1
            else:
                  lowerCamelCase__           =		F'Invalid weight of {weight:f} provided'
                  raise ValueError(_a							)

            score_lists.append(_a							)

      return score_lists



def   snake_case						(				_a:     list[list[float]]							)->		list[float]:
      '''simple docstring'''


      lowerCamelCase__           =		[0 for i in range(len(score_lists[0]							)							)]

      for slist in score_lists:
            for j, ele in enumerate(_a							):
                  lowerCamelCase__           =		final_scores[j] + ele

      return final_scores






def   snake_case						(				_a:     list[list[float]]		,   _a:     list[int]							)->		list[list[float]]:
      '''simple docstring'''


      lowerCamelCase__           =		get_data(_a							)
      lowerCamelCase__           =		calculate_each_score(_a		,   _a							)
      lowerCamelCase__           =		generate_final_scores(_a							)

      # append scores to source data
      for i, ele in enumerate(_a							):
            source_data[i].append(_a							)

      return source_data



