





import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin
class 			UpperCamelCase_		(  __A							,  unittest.TestCase					):
     lowerCAmelCase_							=	XLMTokenizer
     lowerCAmelCase_							=	False




     def 	lowerCAmelCase			(		self  )		->							Optional[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									=				['l o 123', 'lo w 1456', 'e r</w> 1789', '']

          _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 	lowerCAmelCase			(		self				,						lowerCAmelCase_  )		->							Union[str, Any]:
          _snake_case									=				'lower newer'
          _snake_case									=				'lower newer'
          return input_text, output_text




     def 	lowerCAmelCase			(		self  )		->							int:
          _snake_case									=				XLMTokenizer(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__  )






     @slow
     def 	lowerCAmelCase			(		self  )		->							Dict:
          _snake_case									=				XLMTokenizer.from_pretrained('xlm-mlm-en-2048'  )

          _snake_case									=				tokenizer.encode('sequence builders'				,						add_special_tokens=UpperCamelCase__  )
          _snake_case									=				tokenizer.encode('multi-sequence build'				,						add_special_tokens=UpperCamelCase__  )

          _snake_case									=				tokenizer.build_inputs_with_special_tokens(UpperCamelCase__  )
          _snake_case									=				tokenizer.build_inputs_with_special_tokens(UpperCamelCase__				,						UpperCamelCase__  )

          assert encoded_sentence == [0] + text + [1]
          assert encoded_pair == [0] + text + [1] + text_a + [1]










import random





def 						lowerCamelCase__     (     UpperCamelCase__			:       list       ,    UpperCamelCase__			:       List[Any]						)			-> tuple:



					'''simple docstring'''




					_snake_case							,     _snake_case							,     _snake_case									=				[], [], []
					for element in data:
										if element < pivot:
															less.append(UpperCamelCase__						)
										elif element > pivot:
															greater.append(UpperCamelCase__						)
										else:
															equal.append(UpperCamelCase__						)
					return less, equal, greater





def 						lowerCamelCase__     (     UpperCamelCase__			:       list       ,    UpperCamelCase__			:       int						)			-> Dict:



					'''simple docstring'''




					if index >= len(UpperCamelCase__						) or index < 0:
										return None

					_snake_case									=				items[random.randint(0       ,    len(UpperCamelCase__						) - 1						)]
					_snake_case									=				0
					_snake_case							,     _snake_case							,     _snake_case									=				_partition(UpperCamelCase__       ,    UpperCamelCase__						)
					_snake_case									=				len(UpperCamelCase__						)
					_snake_case									=				len(UpperCamelCase__						)

					# index is the pivot
					if m <= index < m + count:
										return pivot
					# must be in smaller
					elif m > index:
										return quick_select(UpperCamelCase__       ,    UpperCamelCase__						)
					# must be in larger
					else:
										return quick_select(UpperCamelCase__       ,    index - (m + count)						)



