


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 ):
					snake_case_		:					int    					=						XLMTokenizer
					snake_case_		:					Optional[int]    					=						False


					def 				SCREAMING_SNAKE_CASE_	(    self						:		Optional[int]    )      ->						Any:




											'''simple docstring'''

											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(SCREAMING_SNAKE_CASE  ,     range(len(SCREAMING_SNAKE_CASE    )    )    )    )
											__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(SCREAMING_SNAKE_CASE    )    )
											with open(self.merges_file  ,     "w"    ) as fp:
																	fp.write("\n".join(SCREAMING_SNAKE_CASE    )    )


					def 				SCREAMING_SNAKE_CASE_	(    self						:		int  ,     SCREAMING_SNAKE_CASE						:		Dict    )      ->						Optional[Any]:




											'''simple docstring'''

											__snake_case				=		"lower newer"
											__snake_case				=		"lower newer"
											return input_text, output_text


					def 				SCREAMING_SNAKE_CASE_	(    self						:		str    )      ->						List[str]:




											'''simple docstring'''

											__snake_case				=		XLMTokenizer(self.vocab_file  ,     self.merges_file    )

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

											__snake_case				=		tokens + ["<unk>"]
											__snake_case				=		[1_4, 1_5, 2_0]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE    )  ,     SCREAMING_SNAKE_CASE    )






					@slow
					def 				SCREAMING_SNAKE_CASE_	(    self						:		List[str]    )      ->						Any:




											'''simple docstring'''

											__snake_case				=		XLMTokenizer.from_pretrained("xlm-mlm-en-2048"    )

											__snake_case				=		tokenizer.encode("sequence builders"  ,     add_special_tokens=SCREAMING_SNAKE_CASE    )
											__snake_case				=		tokenizer.encode("multi-sequence build"  ,     add_special_tokens=SCREAMING_SNAKE_CASE    )

											__snake_case				=		tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE    )
											__snake_case				=		tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE  ,     SCREAMING_SNAKE_CASE    )

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









import baseaa





def 						_lowerCAmelCase							(     _lowerCAmelCase			)    ->						bytes:


						'''simple docstring'''






						return baseaa.baaencode(string.encode("utf-8"			)			)





def 						_lowerCAmelCase							(     _lowerCAmelCase			)    ->						str:


						'''simple docstring'''






						return baseaa.baadecode(_lowerCAmelCase			).decode("utf-8"			)


if __name__ == "__main__":
	A				:       Dict      =  'Hello World!'
	A				:       Any      =  baseaa_encode(test)
	print(encoded)

	A				:       Optional[int]      =  baseaa_decode(encoded)
	print(decoded)





