



"""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 				UpperCamelCase__       (     lowercase_, unittest.TestCase  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE      =					LongformerTokenizer
      _SCREAMING_SNAKE_CASE      =					True
      _SCREAMING_SNAKE_CASE      =					LongformerTokenizerFast
      _SCREAMING_SNAKE_CASE      =					True



      def 					SCREAMING_SNAKE_CASE__			(				self    :				int	):
        super().setUp()

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

        lowerCAmelCase_       :    Union[str, Any]								=			os.path.join(self.tmpdirname   ,      VOCAB_FILES_NAMES['vocab_file']	)
        lowerCAmelCase_       :    Optional[int]								=			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 					SCREAMING_SNAKE_CASE__			(				self    :				Dict   ,      **SCREAMING_SNAKE_CASE_    :				List[Any]	):
        kwargs.update(self.special_tokens_map	)
        return self.tokenizer_class.from_pretrained(self.tmpdirname   ,      **SCREAMING_SNAKE_CASE_	)



      def 					SCREAMING_SNAKE_CASE__			(				self    :				Dict   ,      **SCREAMING_SNAKE_CASE_    :				str	):
        kwargs.update(self.special_tokens_map	)
        return self.rust_tokenizer_class.from_pretrained(self.tmpdirname   ,      **SCREAMING_SNAKE_CASE_	)



      def 					SCREAMING_SNAKE_CASE__			(				self    :				Optional[int]   ,      SCREAMING_SNAKE_CASE_    :				List[Any]	):
        lowerCAmelCase_       :    int								=			'lower newer'
        lowerCAmelCase_       :    Dict								=			'lower newer'
        return input_text, output_text



      def 					SCREAMING_SNAKE_CASE__			(				self    :				Optional[int]	):
        lowerCAmelCase_       :    Union[str, Any]								=			self.tokenizer_class(self.vocab_file   ,      self.merges_file   ,      **self.special_tokens_map	)
        lowerCAmelCase_       :    str								=			'lower newer'
        lowerCAmelCase_       :    Optional[int]								=			['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
        lowerCAmelCase_       :    Dict								=			tokenizer.tokenize(SCREAMING_SNAKE_CASE_	)  # , add_prefix_space=True)
        self.assertListEqual(SCREAMING_SNAKE_CASE_   ,      SCREAMING_SNAKE_CASE_	)

        lowerCAmelCase_       :    str								=			tokens + [tokenizer.unk_token]
        lowerCAmelCase_       :    Optional[int]								=			[0, 1, 2, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_	)   ,      SCREAMING_SNAKE_CASE_	)



      def 					SCREAMING_SNAKE_CASE__			(				self    :				List[Any]	):
        lowerCAmelCase_       :    List[Any]								=			self.get_tokenizer()

        self.assertListEqual(tokenizer.encode('Hello world!'   ,      add_special_tokens=SCREAMING_SNAKE_CASE_	)   ,      [0, 3_1_4_1_4, 2_3_2, 3_2_8, 2]	)
        self.assertListEqual(
            tokenizer.encode('Hello world! cécé herlolip 418'   ,      add_special_tokens=SCREAMING_SNAKE_CASE_	)   ,      [0, 3_1_4_1_4, 2_3_2, 3_2_8, 7_4_0, 1_1_4_0, 1_2_6_9_5, 6_9, 4_6_0_7_8, 1_5_8_8, 2]   ,      )



      @slow
      def 					SCREAMING_SNAKE_CASE__			(				self    :				Optional[int]	):
        lowerCAmelCase_       :    Optional[int]								=			self.tokenizer_class.from_pretrained('allenai/longformer-base-4096'	)

        lowerCAmelCase_       :    Optional[int]								=			tokenizer.encode('sequence builders'   ,      add_special_tokens=SCREAMING_SNAKE_CASE_	)
        lowerCAmelCase_       :    Any								=			tokenizer.encode('multi-sequence build'   ,      add_special_tokens=SCREAMING_SNAKE_CASE_	)

        lowerCAmelCase_       :    List[str]								=			tokenizer.encode(
            'sequence builders'   ,      add_special_tokens=SCREAMING_SNAKE_CASE_   ,      add_prefix_space=SCREAMING_SNAKE_CASE_	)
        lowerCAmelCase_       :    Optional[int]								=			tokenizer.encode(
            'sequence builders'   ,      'multi-sequence build'   ,      add_special_tokens=SCREAMING_SNAKE_CASE_   ,      add_prefix_space=SCREAMING_SNAKE_CASE_	)

        lowerCAmelCase_       :    List[Any]								=			tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_	)
        lowerCAmelCase_       :    Any								=			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 					SCREAMING_SNAKE_CASE__			(				self    :				Union[str, Any]	):
        lowerCAmelCase_       :    List[str]								=			self.get_tokenizer()

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

        # Testing encoder arguments
        lowerCAmelCase_       :    Optional[Any]								=			tokenizer.encode(SCREAMING_SNAKE_CASE_   ,      add_special_tokens=SCREAMING_SNAKE_CASE_   ,      add_prefix_space=SCREAMING_SNAKE_CASE_	)
        lowerCAmelCase_       :    Union[str, Any]								=			tokenizer.convert_ids_to_tokens(encoded[0]	)[0]
        self.assertNotEqual(SCREAMING_SNAKE_CASE_   ,      SCREAMING_SNAKE_CASE_	)

        lowerCAmelCase_       :    Union[str, Any]								=			tokenizer.encode(SCREAMING_SNAKE_CASE_   ,      add_special_tokens=SCREAMING_SNAKE_CASE_   ,      add_prefix_space=SCREAMING_SNAKE_CASE_	)
        lowerCAmelCase_       :    Tuple								=			tokenizer.convert_ids_to_tokens(encoded[0]	)[0]
        self.assertEqual(SCREAMING_SNAKE_CASE_   ,      SCREAMING_SNAKE_CASE_	)

        tokenizer.add_special_tokens({'bos_token': '<s>'}	)
        lowerCAmelCase_       :    List[Any]								=			tokenizer.encode(SCREAMING_SNAKE_CASE_   ,      add_special_tokens=SCREAMING_SNAKE_CASE_	)
        lowerCAmelCase_       :    Union[str, Any]								=			tokenizer.convert_ids_to_tokens(encoded[1]	)[0]
        self.assertNotEqual(SCREAMING_SNAKE_CASE_   ,      SCREAMING_SNAKE_CASE_	)

        # Testing spaces after special tokens
        lowerCAmelCase_       :    int								=			'<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_       :    int								=			tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_	)

        lowerCAmelCase_       :    str								=			'Encode <mask> sequence'
        lowerCAmelCase_       :    int								=			'Encode <mask>sequence'

        lowerCAmelCase_       :    Optional[int]								=			tokenizer.encode(SCREAMING_SNAKE_CASE_	)
        lowerCAmelCase_       :    int								=			encoded.index(SCREAMING_SNAKE_CASE_	)
        lowerCAmelCase_       :    str								=			tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]	)[0]
        self.assertEqual(SCREAMING_SNAKE_CASE_   ,      SCREAMING_SNAKE_CASE_	)

        lowerCAmelCase_       :    Optional[Any]								=			tokenizer.encode(SCREAMING_SNAKE_CASE_	)
        lowerCAmelCase_       :    List[Any]								=			encoded.index(SCREAMING_SNAKE_CASE_	)
        lowerCAmelCase_       :    Dict								=			tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]	)[0]
        self.assertNotEqual(SCREAMING_SNAKE_CASE_   ,      SCREAMING_SNAKE_CASE_	)



      def 					SCREAMING_SNAKE_CASE__			(				self    :				Dict	):
        pass



      def 					SCREAMING_SNAKE_CASE__			(				self    :				Tuple	):
        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
          with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"	):
            lowerCAmelCase_       :    List[Any]								=			self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_   ,      **SCREAMING_SNAKE_CASE_	)
            lowerCAmelCase_       :    int								=			self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_   ,      **SCREAMING_SNAKE_CASE_	)
            lowerCAmelCase_       :    Union[str, Any]								=			'A, <mask> AllenNLP sentence.'
            lowerCAmelCase_       :    List[Any]								=			tokenizer_r.encode_plus(SCREAMING_SNAKE_CASE_   ,      add_special_tokens=SCREAMING_SNAKE_CASE_   ,      return_token_type_ids=SCREAMING_SNAKE_CASE_	)
            lowerCAmelCase_       :    Any								=			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_       :    List[Any]								=			tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']	)
            lowerCAmelCase_       :    Tuple								=			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_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]	)
            self.assertSequenceEqual(tokens_r['input_ids']   ,      [0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 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 					SCREAMING_SNAKE_CASE__			(				self    :				List[str]	):
        for trim_offsets, add_prefix_space in itertools.product([True, False]   ,      repeat=2	):
          lowerCAmelCase_       :    Optional[Any]								=			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_       :    Any								=			json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()	)
          lowerCAmelCase_       :    Any								=			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 					SCREAMING_SNAKE_CASE__			(				self    :				Tuple	):
        # 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_       :    Any								=			'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
            lowerCAmelCase_       :    Dict								=			F"{text_of_1_token} {text_of_1_token}"

            lowerCAmelCase_       :    Optional[int]								=			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_       :    Union[str, Any]								=			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_       :    Optional[int]								=			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_       :    List[str]								=			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_       :    Dict								=			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_       :    Optional[Any]								=			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_       :    int								=			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_       :    Dict								=			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_       :    Dict								=			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_       :    Union[str, Any]								=			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_       :    Union[str, Any]								=			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_       :    Tuple								=			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_       :    Any								=			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_       :    List[str]								=			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_       :    Optional[int]								=			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"""







from __future__ import annotations

def     UpperCamelCase_   (   lowerCAmelCase__				:    int						)						->       list[int]:

  """simple docstring"""




  lowerCAmelCase_       :    Any								=			2
  lowerCAmelCase_       :    List[Any]								=			[]
  while i * i <= n:
    if n % i:
      i += 1
    else:
      n //= i
      factors.append(lowerCAmelCase__						)
  if n > 1:
    factors.append(lowerCAmelCase__						)
  return factors


if __name__ == "__main__":
     import doctest

     doctest.testmod()





