
"""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 __lowerCAmelCase				(					_lowercase     ,				unittest.TestCase      ):




			"""simple docstring"""







			snake_case	      =				OpenAIGPTTokenizer
			snake_case	      =				OpenAIGPTTokenizerFast
			snake_case	      =				True
			snake_case	      =				False




			def      lowerCamelCase__     (				self						:					Tuple	)      -> Any:







								"""simple docstring"""
								super().setUp()

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

								A_				 =						os.path.join(self.tmpdirname       ,   VOCAB_FILES_NAMES["vocab_file"]	)
								A_				 =						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      lowerCamelCase__     (				self						:					List[Any]       ,   _snake_case						:					Tuple	)      -> Dict:







								"""simple docstring"""
								return "lower newer", "lower newer"




			def      lowerCamelCase__     (				self						:					Dict	)      -> Union[str, Any]:







								"""simple docstring"""
								A_				 =						OpenAIGPTTokenizer(self.vocab_file       ,   self.merges_file	)

								A_				 =						"lower"
								A_				 =						["low", "er</w>"]
								A_				 =						tokenizer.tokenize(_snake_case	)
								self.assertListEqual(_snake_case       ,   _snake_case	)

								A_				 =						tokens + ["<unk>"]
								A_				 =						[14, 15, 20]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_snake_case	)       ,   _snake_case	)




			def      lowerCamelCase__     (				self						:					List[str]       ,   _snake_case						:					Dict=15	)      -> Any:







								"""simple docstring"""
								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'	):
																		A_				 =						self.rust_tokenizer_class.from_pretrained(_snake_case       ,   **_snake_case	)

																		# Simple input
																		A_				 =						"This is a simple input"
																		A_				 =						["This is a simple input 1", "This is a simple input 2"]
																		A_				 =						("This is a simple input", "This is a pair")
																		A_				 =						[
																		    ("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      lowerCamelCase__     (				self						:					Optional[Any]	)      -> List[str]:







								"""simple docstring"""
								pass





@require_ftfy
@require_spacy
@require_tokenizers
class __lowerCAmelCase				(					_lowercase      ):




			"""simple docstring"""







			pass






"""simple docstring"""





import baseaa
def 							A_     (__a				):

					'''simple docstring'''





					return baseaa.aaaencode(string.encode("utf-8"				)				)
def 							A_     (__a				):

					'''simple docstring'''





					return baseaa.aaadecode(__a				).decode("utf-8"				)


if __name__ == "__main__":
		import doctest

		doctest.testmod()




