


import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__UpperCamelCase       :       Union[str, Any]						       =				get_tests_dir("fixtures/test_sentencepiece.model")

@require_sentencepiece
@require_tokenizers
class       __magic_name__	(     __lowerCAmelCase					,				unittest.TestCase):
     A:		Any			=      XGLMTokenizer
     A:		List[str]			=      XGLMTokenizerFast
     A:		Tuple			=      True
     A:		Any			=      True


     def      UpperCAmelCase__	(      self							:     List[Any]			)  ->      Dict:





      '''simple docstring'''






      super().setUp()

      # We have a SentencePiece fixture for testing
      UpperCamelCase__					:    Dict          =   XGLMTokenizer(lowerCamelCase__							,	keep_accents=lowerCamelCase__			)
      tokenizer.save_pretrained(self.tmpdirname			)


     def      UpperCAmelCase__	(      self							:     Tuple			)  ->      Optional[int]:





      '''simple docstring'''






      UpperCamelCase__					:    Optional[Any]          =   '''<pad>'''
      UpperCamelCase__					:    Tuple          =   1

      self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCamelCase__			)							,	lowerCamelCase__			)
      self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCamelCase__			)							,	lowerCamelCase__			)


     def      UpperCAmelCase__	(      self							:     Optional[int]			)  ->      List[Any]:





      '''simple docstring'''






      UpperCamelCase__					:    Dict          =   list(self.get_tokenizer().get_vocab().keys()			)

      self.assertEqual(vocab_keys[0]							,	'''<s>'''			)
      self.assertEqual(vocab_keys[1]							,	'''<pad>'''			)
      self.assertEqual(len(lowerCamelCase__			)							,	1008			)


     def      UpperCAmelCase__	(      self							:     Tuple			)  ->      int:





      '''simple docstring'''






      self.assertEqual(self.get_tokenizer().vocab_size							,	1008			)


     def      UpperCAmelCase__	(      self							:     Union[str, Any]			)  ->      Optional[Any]:





      '''simple docstring'''






      UpperCamelCase__					:    Any          =   XGLMTokenizer(lowerCamelCase__							,	keep_accents=lowerCamelCase__			)

      UpperCamelCase__					:    int          =   tokenizer.tokenize('''This is a test'''			)
      self.assertListEqual(lowerCamelCase__							,	['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']			)

      self.assertListEqual(
          tokenizer.convert_tokens_to_ids(lowerCamelCase__			)							,	[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]							,	)

      UpperCamelCase__					:    Dict          =   tokenizer.tokenize('''I was born in 92000, and this is falsé.'''			)
      self.assertListEqual(
          lowerCamelCase__							,	[
              SPIECE_UNDERLINE + '''I''',
              SPIECE_UNDERLINE + '''was''',
              SPIECE_UNDERLINE + '''b''',
              '''or''',
              '''n''',
              SPIECE_UNDERLINE + '''in''',
              SPIECE_UNDERLINE + '''''',
              '''9''',
              '''2''',
              '''0''',
              '''0''',
              '''0''',
              ''',''',
              SPIECE_UNDERLINE + '''and''',
              SPIECE_UNDERLINE + '''this''',
              SPIECE_UNDERLINE + '''is''',
              SPIECE_UNDERLINE + '''f''',
              '''al''',
              '''s''',
              '''é''',
              '''.''',
          ]							,	)
      UpperCamelCase__					:    Tuple          =   tokenizer.convert_tokens_to_ids(lowerCamelCase__			)
      self.assertListEqual(
          lowerCamelCase__							,	[
              value + tokenizer.fairseq_offset
              for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
          ]							,	)

      UpperCamelCase__					:    Optional[int]          =   tokenizer.convert_ids_to_tokens(lowerCamelCase__			)
      self.assertListEqual(
          lowerCamelCase__							,	[
              SPIECE_UNDERLINE + '''I''',
              SPIECE_UNDERLINE + '''was''',
              SPIECE_UNDERLINE + '''b''',
              '''or''',
              '''n''',
              SPIECE_UNDERLINE + '''in''',
              SPIECE_UNDERLINE + '''''',
              '''<unk>''',
              '''2''',
              '''0''',
              '''0''',
              '''0''',
              ''',''',
              SPIECE_UNDERLINE + '''and''',
              SPIECE_UNDERLINE + '''this''',
              SPIECE_UNDERLINE + '''is''',
              SPIECE_UNDERLINE + '''f''',
              '''al''',
              '''s''',
              '''<unk>''',
              '''.''',
          ]							,	)


     @cached_property
     def      UpperCAmelCase__	(      self							:     Union[str, Any]			)  ->      Optional[Any]:





      '''simple docstring'''






      return XGLMTokenizer.from_pretrained('''facebook/xglm-564M'''			)


     def      UpperCAmelCase__	(      self							:     List[Any]			)  ->      Union[str, Any]:





      '''simple docstring'''






      with tempfile.NamedTemporaryFile() as f:
       shutil.copyfile(lowerCamelCase__							,	f.name			)
       UpperCamelCase__					:    Optional[int]          =   XGLMTokenizer(f.name							,	keep_accents=lowerCamelCase__			)
       UpperCamelCase__					:    Dict          =   pickle.dumps(lowerCamelCase__			)
      pickle.loads(lowerCamelCase__			)


     def      UpperCAmelCase__	(      self							:     List[Any]			)  ->      Any:





      '''simple docstring'''






      if not self.test_rust_tokenizer:
       return

      UpperCamelCase__					:    List[str]          =   self.get_tokenizer()
      UpperCamelCase__					:    Tuple          =   self.get_rust_tokenizer()

      UpperCamelCase__					:    Tuple          =   '''I was born in 92000, and this is falsé.'''

      UpperCamelCase__					:    Optional[int]          =   tokenizer.tokenize(lowerCamelCase__			)
      UpperCamelCase__					:    Optional[Any]          =   rust_tokenizer.tokenize(lowerCamelCase__			)
      self.assertListEqual(lowerCamelCase__							,	lowerCamelCase__			)

      UpperCamelCase__					:    Dict          =   tokenizer.encode(lowerCamelCase__							,	add_special_tokens=lowerCamelCase__			)
      UpperCamelCase__					:    List[str]          =   rust_tokenizer.encode(lowerCamelCase__							,	add_special_tokens=lowerCamelCase__			)
      self.assertListEqual(lowerCamelCase__							,	lowerCamelCase__			)

      UpperCamelCase__					:    Any          =   self.get_rust_tokenizer()
      UpperCamelCase__					:    str          =   tokenizer.encode(lowerCamelCase__			)
      UpperCamelCase__					:    Union[str, Any]          =   rust_tokenizer.encode(lowerCamelCase__			)
      self.assertListEqual(lowerCamelCase__							,	lowerCamelCase__			)


     @slow
     def      UpperCAmelCase__	(      self							:     Tuple			)  ->      List[Any]:





      '''simple docstring'''






      UpperCamelCase__					:    Optional[int]          =   '''Hello World!'''
      UpperCamelCase__					:    Union[str, Any]          =   [2, 31227, 4447, 35]

      self.assertListEqual(lowerCamelCase__							,	self.big_tokenizer.encode(lowerCamelCase__			)			)


     @slow
     def      UpperCAmelCase__	(      self							:     List[str]			)  ->      int:





      '''simple docstring'''






      UpperCamelCase__					:    Optional[Any]          =   (
          '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
          ''' add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth'''
      )
      # fmt: off
      UpperCamelCase__					:    int          =   [2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 71630, 28085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 13675, 377, 652, 7580, 10341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 202277, 17892, 33, 60, 87, 4, 3234, 157, 61, 2667, 52376, 19, 88, 23, 735]
      # fmt: on

      self.assertListEqual(lowerCamelCase__							,	self.big_tokenizer.encode(lowerCamelCase__			)			)


     @slow
     def      UpperCAmelCase__	(      self							:     Optional[int]			)  ->      str:





      '''simple docstring'''






      UpperCamelCase__					:    Tuple          =   {
          '''input_ids''': [[2, 108825, 1163, 15, 88010, 473, 15898, 157, 13672, 1857, 312, 8, 238021, 1163, 53, 13672, 1857, 312, 8, 53283, 182396, 8, 18566, 16, 36733, 4101, 8, 230, 244017, 122553, 7, 15, 132597, 4, 293, 12511, 7610, 4, 3414, 132597, 9, 4, 32361, 362, 4, 734, 28512, 32569, 18, 4, 32361, 26096, 14982, 73, 18715, 21433, 235261, 15, 492, 12427, 16, 53, 18715, 21433, 65454, 15, 23659, 563, 16, 278, 597, 2843, 595, 7931, 182396, 64186, 22, 886, 595, 132981, 53, 25540, 3449, 43982, 39901, 5951, 878, 330, 4, 27694, 80269, 312, 53, 6517, 11780, 611, 20408, 5], [2, 6, 132597, 67, 42897, 33, 592, 8, 163729, 25540, 361, 136997, 109514, 173230, 7, 501, 60, 102913, 196, 5631, 235, 63243, 473, 6, 231757, 74, 5277, 7905, 53, 3095, 37317, 22, 454, 183874, 5], [2, 268, 31298, 46530, 6, 132935, 43831, 7, 597, 32, 24, 3688, 9865, 5]],
          '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
      }  # noqa: E501
      # fmt: on

      self.tokenizer_integration_test_util(
          expected_encoding=lowerCamelCase__							,	model_name='''facebook/xglm-564M'''							,	padding=lowerCamelCase__							,	)






import functools

def 			_a  (				SCREAMING_SNAKE_CASE	:				str    , SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 UpperCamelCase__					:    str          =   len(SCREAMING_SNAKE_CASE     )
 UpperCamelCase__					:    Optional[Any]          =   len(SCREAMING_SNAKE_CASE     )

 @functools.cache
 def min_distance(SCREAMING_SNAKE_CASE	:				int    , SCREAMING_SNAKE_CASE	:				int     ) -> int:
  # if first word index is overflow - delete all from the second word
  if indexa >= len_worda:
   return len_worda - indexa
  # if second word index is overflow - delete all from the first word
  if indexa >= len_worda:
   return len_worda - indexa
  UpperCamelCase__					:    Tuple          =   int(worda[indexa] != worda[indexa]     )  # current letters not identical
  return min(
      1 + min_distance(indexa + 1    , SCREAMING_SNAKE_CASE     )    , 1 + min_distance(SCREAMING_SNAKE_CASE    , indexa + 1     )    , diff + min_distance(indexa + 1    , indexa + 1     )    , )

 return min_distance(0    , 0     )


if __name__ == "__main__":
       import doctest

       doctest.testmod()


