




"""simple docstring"""

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 			_snake_case					(				A__				,    unittest.TestCase							):

				'''simple docstring'''




				UpperCamelCase__		  =OpenAIGPTTokenizer
				UpperCamelCase__		  =OpenAIGPTTokenizerFast
				UpperCamelCase__		  =True
				UpperCamelCase__		  =False





				def 					snake_case_			(				self   :	Union[str, Any]  ):
								super().setUp()

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

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





				def 					snake_case_			(				self   :	str       ,				snake_case   :	Optional[Any]  ):
								return "lower newer", "lower newer"





				def 					snake_case_			(				self   :	Dict  ):
								UpperCAmelCase_       :Tuple         =   OpenAIGPTTokenizer(self.vocab_file       ,				self.merges_file  )

								UpperCAmelCase_       :List[str]         =   '''lower'''
								UpperCAmelCase_       :Optional[Any]         =   ['''low''', '''er</w>''']
								UpperCAmelCase_       :Any         =   tokenizer.tokenize(__A  )
								self.assertListEqual(__A       ,				__A  )

								UpperCAmelCase_       :int         =   tokens + ['''<unk>''']
								UpperCAmelCase_       :Union[str, Any]         =   [14, 15, 20]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(__A  )       ,				__A  )





				def 					snake_case_			(				self   :	Any       ,				snake_case   :	List[Any]=15  ):
								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
												with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'  ):
																UpperCAmelCase_       :Any         =   self.rust_tokenizer_class.from_pretrained(__A       ,				**__A  )

																# Simple input
																UpperCAmelCase_       :Tuple         =   '''This is a simple input'''
																UpperCAmelCase_       :Optional[Any]         =   ['''This is a simple input 1''', '''This is a simple input 2''']
																UpperCAmelCase_       :List[str]         =   ('''This is a simple input''', '''This is a pair''')
																UpperCAmelCase_       :int         =   [
																    ('''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(__A       ,				tokenizer_r.encode       ,				__A       ,				max_length=__A       ,				padding='''max_length'''  )

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

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

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

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

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





				def 					snake_case_			(				self   :	Tuple  ):
								pass



@require_ftfy
@require_spacy
@require_tokenizers
class 			_snake_case					(				A__							):

				'''simple docstring'''




				pass




def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     list				)			->						float:
       SCREAMING_SNAKE_CASE_							:				Dict		=0
       while len(UpperCAmelCase_				) > 1:
              SCREAMING_SNAKE_CASE_							:				Tuple		=0
              # Consider two files with minimum cost to be merged
              for _ in range(2				):
                     SCREAMING_SNAKE_CASE_							:				int		=files.index(min(UpperCAmelCase_				)				)
                     temp += files[min_index]
                     files.pop(UpperCAmelCase_				)
              files.append(UpperCAmelCase_				)
              optimal_merge_cost += temp
       return optimal_merge_cost


if __name__ == "__main__":
 import doctest

 doctest.testmod()
