

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 	snake_case_   (		__A	,       unittest.TestCase					):







			'''simple docstring'''

			SCREAMING_SNAKE_CASE     :   Dict									=				XLMTokenizer
			SCREAMING_SNAKE_CASE     :   Union[str, Any]									=				False







			def 				snake_case__(     self :				List[str]							)      ->Tuple:
									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(_UpperCamelCase							,   range(len(_UpperCamelCase							)							)							)							)
									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(_UpperCamelCase							)							)
									with open(self.merges_file							,   '''w'''							) as fp:
															fp.write('''\n'''.join(_UpperCamelCase							)							)







			def 				snake_case__(     self :				Any							,   _UpperCamelCase :				int							)      ->Any:
									snake_case_   =	'''lower newer'''
									snake_case_   =	'''lower newer'''
									return input_text, output_text







			def 				snake_case__(     self :				Dict							)      ->List[Any]:
									snake_case_   =	XLMTokenizer(self.vocab_file							,   self.merges_file							)

									snake_case_   =	'''lower'''
									snake_case_   =	['''low''', '''er</w>''']
									snake_case_   =	tokenizer.tokenize(_UpperCamelCase							)
									self.assertListEqual(_UpperCamelCase							,   _UpperCamelCase							)

									snake_case_   =	tokens + ['''<unk>''']
									snake_case_   =	[1_4, 1_5, 2_0]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase							)							,   _UpperCamelCase							)







			@slow
			def 				snake_case__(     self :				Any							)      ->Dict:
									snake_case_   =	XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''							)

									snake_case_   =	tokenizer.encode('''sequence builders'''							,   add_special_tokens=_UpperCamelCase							)
									snake_case_   =	tokenizer.encode('''multi-sequence build'''							,   add_special_tokens=_UpperCamelCase							)

									snake_case_   =	tokenizer.build_inputs_with_special_tokens(_UpperCamelCase							)
									snake_case_   =	tokenizer.build_inputs_with_special_tokens(_UpperCamelCase							,   _UpperCamelCase							)

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


from __future__ import annotations

from collections.abc import Generator


def   __SCREAMING_SNAKE_CASE					():
						snake_case_   =	{}
						snake_case_   =	2
						while True:
												snake_case_   =	factor_map.pop(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       )
												if factor:
																		snake_case_   =	factor + prime
																		while x in factor_map:
																								x += factor
																		snake_case_   =	factor
												else:
																		snake_case_   =	prime
																		yield prime
												prime += 1


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__ = 1E10       ):
						snake_case_   =	sieve()

						snake_case_   =	1
						while True:
												snake_case_   =	next(SCREAMING_SNAKE_CASE__       )
												if (2 * prime * n) > limit:
																		return n
												# Ignore the next prime as the reminder will be 2.
												next(SCREAMING_SNAKE_CASE__       )
												n += 2


if __name__ == "__main__":
					print(solution())