






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 							__a							(  __A ,	unittest.TestCase						):





		'''simple docstring'''



		UpperCAmelCase__      :				Tuple				    =						XLMTokenizer
		UpperCAmelCase__      :				Union[str, Any]				    =						False


		def   __snake_case			(						self       ):
						super().setUp()

						# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
						SCREAMING_SNAKE_CASE_   :	Tuple													=   [
						    '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>',
						]
						SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   dict(zip(UpperCamelCase__ ,    range(len(UpperCamelCase__       )       )       )       )
						SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   ['l o 123', 'lo w 1456', 'e r</w> 1789', '']

						SCREAMING_SNAKE_CASE_   :	Optional[int]													=   os.path.join(self.tmpdirname ,    VOCAB_FILES_NAMES['vocab_file']       )
						SCREAMING_SNAKE_CASE_   :	str													=   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   __snake_case			(						self ,    UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   'lower newer'
						SCREAMING_SNAKE_CASE_   :	Any													=   'lower newer'
						return input_text, output_text


		def   __snake_case			(						self       ):
						SCREAMING_SNAKE_CASE_   :	int													=   XLMTokenizer(self.vocab_file ,    self.merges_file       )

						SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   'lower'
						SCREAMING_SNAKE_CASE_   :	List[Any]													=   ['low', 'er</w>']
						SCREAMING_SNAKE_CASE_   :	Tuple													=   tokenizer.tokenize(UpperCamelCase__       )
						self.assertListEqual(UpperCamelCase__ ,    UpperCamelCase__       )

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






		@slow
		def   __snake_case			(						self       ):
						SCREAMING_SNAKE_CASE_   :	Any													=   XLMTokenizer.from_pretrained('xlm-mlm-en-2048'       )

						SCREAMING_SNAKE_CASE_   :	Any													=   tokenizer.encode('sequence builders' ,    add_special_tokens=UpperCamelCase__       )
						SCREAMING_SNAKE_CASE_   :	Tuple													=   tokenizer.encode('multi-sequence build' ,    add_special_tokens=UpperCamelCase__       )

						SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   tokenizer.build_inputs_with_special_tokens(UpperCamelCase__       )
						SCREAMING_SNAKE_CASE_   :	List[str]													=   tokenizer.build_inputs_with_special_tokens(UpperCamelCase__ ,    UpperCamelCase__       )

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










import copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union


@dataclass
class 							__a							:





		'''simple docstring'''



		UpperCAmelCase__      :				Optional[Union[str, Path]]				    =						None
		UpperCAmelCase__      :				bool				    =						False
		UpperCAmelCase__      :				bool				    =						False
		UpperCAmelCase__      :				bool				    =						False
		UpperCAmelCase__      :				Optional[Dict]				    =						None
		UpperCAmelCase__      :				Optional[str]				    =						None
		UpperCAmelCase__      :				bool				    =						False
		UpperCAmelCase__      :				bool				    =						False
		UpperCAmelCase__      :				bool				    =						False
		UpperCAmelCase__      :				bool				    =						True
		UpperCAmelCase__      :				Optional[int]				    =						None
		UpperCAmelCase__      :				int				    =						1
		UpperCAmelCase__      :				Optional[Union[str, bool]]				    =						None
		UpperCAmelCase__      :				bool				    =						False
		UpperCAmelCase__      :				Optional[Dict]				    =						None
		UpperCAmelCase__      :				Optional[str]				    =						None


		def   __snake_case			(						self       ):
						return self.__class__(**{k: copy.deepcopy(UpperCamelCase__       ) for k, v in self.__dict__.items()}       )