
import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class       _lowerCAmelCase   (   __snake_case					,							unittest.TestCase				):







							'''simple docstring'''

							lowerCAmelCase_ 						=						OpenAIGPTTokenizer
							lowerCAmelCase_ 						=						OpenAIGPTTokenizerFast
							lowerCAmelCase_ 						=						True
							lowerCAmelCase_ 						=						False

							def 	lowercase							(self  )					->       Union[str, Any]:
														super().setUp()

														# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
														_snake_case       =  [
														    """l""",
														    """o""",
														    """w""",
														    """e""",
														    """r""",
														    """s""",
														    """t""",
														    """i""",
														    """d""",
														    """n""",
														    """w</w>""",
														    """r</w>""",
														    """t</w>""",
														    """lo""",
														    """low""",
														    """er</w>""",
														    """low</w>""",
														    """lowest</w>""",
														    """newer</w>""",
														    """wider</w>""",
														    """<unk>""",
														]
														_snake_case       =  dict(zip(UpperCAmelCase  ,  range(len(UpperCAmelCase  )  )  )  )
														_snake_case       =  ["""#version: 0.2""", """l o""", """lo w""", """e r</w>""", """"""]

														_snake_case       =  os.path.join(self.tmpdirname  ,  VOCAB_FILES_NAMES["""vocab_file"""]  )
														_snake_case       =  os.path.join(self.tmpdirname  ,  VOCAB_FILES_NAMES["""merges_file"""]  )
														with open(self.vocab_file  ,  """w"""  ) as fp:
																					fp.write(json.dumps(UpperCAmelCase  )  )
														with open(self.merges_file  ,  """w"""  ) as fp:
																					fp.write("""\n""".join(UpperCAmelCase  )  )

							def 	lowercase							(self  ,  UpperCAmelCase  )					->       Union[str, Any]:
														return "lower newer", "lower newer"

							def 	lowercase							(self  )					->       Optional[Any]:
														_snake_case       =  OpenAIGPTTokenizer(self.vocab_file  ,  self.merges_file  )

														_snake_case       =  """lower"""
														_snake_case       =  ["""low""", """er</w>"""]
														_snake_case       =  tokenizer.tokenize(UpperCAmelCase  )
														self.assertListEqual(UpperCAmelCase  ,  UpperCAmelCase  )

														_snake_case       =  tokens + ["""<unk>"""]
														_snake_case       =  [14, 15, 20]
														self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase  )  ,  UpperCAmelCase  )

							def 	lowercase							(self  ,  UpperCAmelCase=15  )					->       Union[str, Any]:
														for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																					with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""  ):
																												_snake_case       =  self.rust_tokenizer_class.from_pretrained(UpperCAmelCase  ,  **UpperCAmelCase  )

																												# Simple input
																												_snake_case       =  """This is a simple input"""
																												_snake_case       =  ["""This is a simple input 1""", """This is a simple input 2"""]
																												_snake_case       =  ("""This is a simple input""", """This is a pair""")
																												_snake_case       =  [
																												    ("""This is a simple input 1""", """This is a simple input 2"""),
																												    ("""This is a simple pair 1""", """This is a simple pair 2"""),
																												]

																												# Simple input tests
																												self.assertRaises(UpperCAmelCase  ,  tokenizer_r.encode  ,  UpperCAmelCase  ,  max_length=UpperCAmelCase  ,  padding="""max_length"""  )

																												# Simple input
																												self.assertRaises(UpperCAmelCase  ,  tokenizer_r.encode_plus  ,  UpperCAmelCase  ,  max_length=UpperCAmelCase  ,  padding="""max_length"""  )

																												# Simple input
																												self.assertRaises(
																												    UpperCAmelCase  ,  tokenizer_r.batch_encode_plus  ,  UpperCAmelCase  ,  max_length=UpperCAmelCase  ,  padding="""max_length"""  ,  )

																												# Pair input
																												self.assertRaises(UpperCAmelCase  ,  tokenizer_r.encode  ,  UpperCAmelCase  ,  max_length=UpperCAmelCase  ,  padding="""max_length"""  )

																												# Pair input
																												self.assertRaises(UpperCAmelCase  ,  tokenizer_r.encode_plus  ,  UpperCAmelCase  ,  max_length=UpperCAmelCase  ,  padding="""max_length"""  )

																												# Pair input
																												self.assertRaises(
																												    UpperCAmelCase  ,  tokenizer_r.batch_encode_plus  ,  UpperCAmelCase  ,  max_length=UpperCAmelCase  ,  padding="""max_length"""  ,  )





							def 	lowercase							(self  )					->       Optional[Any]:
														pass


@require_ftfy
@require_spacy
@require_tokenizers
class       _lowerCAmelCase   (   __snake_case				):







							'''simple docstring'''

							pass

'''simple docstring'''
def  __SCREAMING_SNAKE_CASE				(  _SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				):

							if not (isinstance(_SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				) and isinstance(_SCREAMING_SNAKE_CASE							, _SCREAMING_SNAKE_CASE				)):
														raise ValueError("""longest_common_substring() takes two strings for inputs"""				)

							_snake_case       =  len(_SCREAMING_SNAKE_CASE				)
							_snake_case       =  len(_SCREAMING_SNAKE_CASE				)

							_snake_case       =  [[0] * (texta_length + 1) for _ in range(texta_length + 1				)]
							_snake_case       =  0
							_snake_case       =  0

							for i in range(1							, texta_length + 1				):
														for j in range(1							, texta_length + 1				):
																					if texta[i - 1] == texta[j - 1]:
																												_snake_case       =  1 + dp[i - 1][j - 1]
																												if dp[i][j] > ans_length:
																																			_snake_case       =  i
																																			_snake_case       =  dp[i][j]

							return texta[ans_index - ans_length : ans_index]


if __name__ == "__main__":
				import doctest

				doctest.testmod()