


'''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 						__UpperCamelCase	(						lowercase__						,  unittest.TestCase							):
							lowercase			:		List[Any]   		=  OpenAIGPTTokenizer
							lowercase			:		str   		=  OpenAIGPTTokenizerFast
							lowercase			:		Optional[int]   		=  True
							lowercase			:		Optional[int]   		=  False





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

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

									snake_case_		:							List[str]			       =						os.path.join(self.tmpdirname  ,VOCAB_FILES_NAMES["""vocab_file"""]			)
									snake_case_		:							Union[str, Any]			       =						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 		a__   (  self		:Union[str, Any]  ,_UpperCamelCase		:Optional[int]			):
									return "lower newer", "lower newer"





							def 		a__   (  self		:Optional[int]			):
									snake_case_		:							int			       =						OpenAIGPTTokenizer(self.vocab_file  ,self.merges_file			)

									snake_case_		:							Tuple			       =						"""lower"""
									snake_case_		:							Union[str, Any]			       =						["""low""", """er</w>"""]
									snake_case_		:							Optional[int]			       =						tokenizer.tokenize(_UpperCamelCase			)
									self.assertListEqual(_UpperCamelCase  ,_UpperCamelCase			)

									snake_case_		:							List[Any]			       =						tokens + ["""<unk>"""]
									snake_case_		:							Dict			       =						[1_4, 1_5, 2_0]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase			)  ,_UpperCamelCase			)





							def 		a__   (  self		:Optional[Any]  ,_UpperCamelCase		:str=1_5			):
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''			):
													snake_case_		:							str			       =						self.rust_tokenizer_class.from_pretrained(_UpperCamelCase  ,**_UpperCamelCase			)

													# Simple input
													snake_case_		:							Union[str, Any]			       =						"""This is a simple input"""
													snake_case_		:							Any			       =						["""This is a simple input 1""", """This is a simple input 2"""]
													snake_case_		:							Optional[int]			       =						("""This is a simple input""", """This is a pair""")
													snake_case_		:							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(_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 		a__   (  self		:List[str]			):
									pass





@require_ftfy
@require_spacy
@require_tokenizers
class 						__UpperCamelCase	(						lowercase__							):
							pass



'''simple docstring'''






import random
from typing import Any





def      UpperCAmelCase      (		lowerCamelCase_  :list ):







		'''simple docstring'''
		for _ in range(len(lowerCamelCase_ ) ):
				snake_case_		:							Union[str, Any]			       =						random.randint(0				,      len(lowerCamelCase_ ) - 1 )
				snake_case_		:							Any			       =						random.randint(0				,      len(lowerCamelCase_ ) - 1 )
				snake_case_       ,      snake_case_		:							List[str]			       =						data[b], data[a]
		return data


if __name__ == "__main__":
							__A	:	Optional[int]     =     [0, 1, 2, 3, 4, 5, 6, 7]
							__A	:	Optional[int]     =     ['python', 'says', 'hello', '!']
							print('Fisher-Yates Shuffle:')
							print('List', integers, strings)
							print('FY Shuffle', fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))