






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 				__A     (			a      ,     unittest.TestCase ):





				"""simple docstring"""







				UpperCamelCase__ :      Optional[Any]			 =OpenAIGPTTokenizer
				UpperCamelCase__ :      Any			 =OpenAIGPTTokenizerFast
				UpperCamelCase__ :      Dict			 =True
				UpperCamelCase__ :      List[str]			 =False


				def       __lowercase							( self    ):




									"""simple docstring"""

									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									__UpperCamelCase      :					Any       		=[
									    '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>',
									]
									__UpperCamelCase      :					Optional[Any]       		=dict(zip(lowerCamelCase__							,  range(len(lowerCamelCase__    )    )    )    )
									__UpperCamelCase      :					List[str]       		=['#version: 0.2', 'l o', 'lo w', 'e r</w>', '']

									__UpperCamelCase      :					List[str]       		=os.path.join(self.tmpdirname							,  VOCAB_FILES_NAMES['vocab_file']    )
									__UpperCamelCase      :					str       		=os.path.join(self.tmpdirname							,  VOCAB_FILES_NAMES['merges_file']    )
									with open(self.vocab_file							,  'w'    ) as fp:
														fp.write(json.dumps(lowerCamelCase__    )    )
									with open(self.merges_file							,  'w'    ) as fp:
														fp.write('\n'.join(lowerCamelCase__    )    )


				def       __lowercase							( self							,  lowerCamelCase__    ):




									"""simple docstring"""

									return "lower newer", "lower newer"


				def       __lowercase							( self    ):




									"""simple docstring"""

									__UpperCamelCase      :					Tuple       		=OpenAIGPTTokenizer(self.vocab_file							,  self.merges_file    )

									__UpperCamelCase      :					Any       		='lower'
									__UpperCamelCase      :					Any       		=['low', 'er</w>']
									__UpperCamelCase      :					Optional[int]       		=tokenizer.tokenize(lowerCamelCase__    )
									self.assertListEqual(lowerCamelCase__							,  lowerCamelCase__    )

									__UpperCamelCase      :					List[Any]       		=tokens + ['<unk>']
									__UpperCamelCase      :					Optional[Any]       		=[14, 15, 20]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__    )							,  lowerCamelCase__    )


				def       __lowercase							( self							,  lowerCamelCase__=15    ):




									"""simple docstring"""

									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
														with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'    ):
																			__UpperCamelCase      :					str       		=self.rust_tokenizer_class.from_pretrained(lowerCamelCase__							,  **lowerCamelCase__    )

																			# Simple input
																			__UpperCamelCase      :					str       		='This is a simple input'
																			__UpperCamelCase      :					str       		=['This is a simple input 1', 'This is a simple input 2']
																			__UpperCamelCase      :					Union[str, Any]       		=('This is a simple input', 'This is a pair')
																			__UpperCamelCase      :					List[Any]       		=[
																			    ('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(lowerCamelCase__							,  tokenizer_r.encode							,  lowerCamelCase__							,  max_length=lowerCamelCase__							,  padding='max_length'    )

																			# Simple input
																			self.assertRaises(lowerCamelCase__							,  tokenizer_r.encode_plus							,  lowerCamelCase__							,  max_length=lowerCamelCase__							,  padding='max_length'    )

																			# Simple input
																			self.assertRaises(
																			    lowerCamelCase__							,  tokenizer_r.batch_encode_plus							,  lowerCamelCase__							,  max_length=lowerCamelCase__							,  padding='max_length'							,  )

																			# Pair input
																			self.assertRaises(lowerCamelCase__							,  tokenizer_r.encode							,  lowerCamelCase__							,  max_length=lowerCamelCase__							,  padding='max_length'    )

																			# Pair input
																			self.assertRaises(lowerCamelCase__							,  tokenizer_r.encode_plus							,  lowerCamelCase__							,  max_length=lowerCamelCase__							,  padding='max_length'    )

																			# Pair input
																			self.assertRaises(
																			    lowerCamelCase__							,  tokenizer_r.batch_encode_plus							,  lowerCamelCase__							,  max_length=lowerCamelCase__							,  padding='max_length'							,  )







				def       __lowercase							( self    ):




									"""simple docstring"""

									pass




@require_ftfy
@require_spacy
@require_tokenizers
class 				__A     (			a ):





				"""simple docstring"""







				pass



from functools import lru_cache



@lru_cache
def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''
					if num < 0:
										raise ValueError('''Number should not be negative.'''		)

					return 1 if num in (0, 1) else num * factorial(num - 1		)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




