
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_  (     __lowerCamelCase ,      unittest.TestCase  ):




	'''simple docstring'''


	_UpperCamelCase	:	Tuple									=			OpenAIGPTTokenizer
	_UpperCamelCase	:	List[Any]									=			OpenAIGPTTokenizerFast
	_UpperCamelCase	:	int									=			True
	_UpperCamelCase	:	List[Any]									=			False





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

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

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





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case			):
		return "lower newer", "lower newer"





	def       SCREAMING_SNAKE_CASE__		(			self			):
		lowercase	    =       OpenAIGPTTokenizer(self.vocab_file						,       self.merges_file			)

		lowercase	    =       'lower'
		lowercase	    =       ['low', 'er</w>']
		lowercase	    =       tokenizer.tokenize(snake_case			)
		self.assertListEqual(snake_case						,       snake_case			)

		lowercase	    =       tokens + ['<unk>']
		lowercase	    =       [14, 15, 20]
		self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case			)						,       snake_case			)





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case=15			):
		for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
			with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''			):
				lowercase	    =       self.rust_tokenizer_class.from_pretrained(snake_case						,       **snake_case			)

				# Simple input
				lowercase	    =       'This is a simple input'
				lowercase	    =       ['This is a simple input 1', 'This is a simple input 2']
				lowercase	    =       ('This is a simple input', 'This is a pair')
				lowercase	    =       [
				    ('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(snake_case						,       tokenizer_r.encode						,       snake_case						,       max_length=snake_case						,       padding='max_length'			)

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

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

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

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

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





	def       SCREAMING_SNAKE_CASE__		(			self			):
		pass







@require_ftfy
@require_spacy
@require_tokenizers
class 			A_  (     __lowerCamelCase  ):




	'''simple docstring'''


	pass







'''simple docstring'''



def       _UpperCamelCase			(_lowerCamelCase				:  int						)-> int:




     '''simple docstring'''





     if divisor % 5 == 0 or divisor % 2 == 0:
          return 0
     __snake_case            =	1
     __snake_case            =	1
     while repunit:
          __snake_case            =	(10 * repunit + 1) % divisor
          repunit_index += 1
     return repunit_index







def       _UpperCamelCase			(_lowerCamelCase				:  int = 1_00_00_00						)-> int:




     '''simple docstring'''





     __snake_case            =	limit - 1
     if divisor % 2 == 0:
          divisor += 1
     while least_divisible_repunit(_lowerCamelCase						) <= limit:
          divisor += 2
     return divisor


if __name__ == "__main__":
     print(F"""{solution() = }""")






