


'''simple docstring'''
import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class        lowercase     (							A__     ,		unittest.TestCase ):

		"""simple docstring"""

		_a   			=    CTRLTokenizer
		_a   			=    False
		_a   			=    False




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							UpperCamelCase__       :Optional[int]							 =			['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
							UpperCamelCase__       :List[str]							 =			dict(zip(UpperCamelCase_   ,       range(len(UpperCamelCase_							)							)							)							)
							UpperCamelCase__       :int							 =			['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
							UpperCamelCase__       :List[str]							 =			{'''unk_token''': '''<unk>'''}

							UpperCamelCase__       :List[str]							 =			os.path.join(self.tmpdirname   ,       VOCAB_FILES_NAMES['''vocab_file''']							)
							UpperCamelCase__       :Any							 =			os.path.join(self.tmpdirname   ,       VOCAB_FILES_NAMES['''merges_file''']							)
							with open(self.vocab_file   ,       '''w'''   ,       encoding='''utf-8'''							) as fp:
												fp.write(json.dumps(UpperCamelCase_							) + '''\n'''							)
							with open(self.merges_file   ,       '''w'''   ,       encoding='''utf-8'''							) as fp:
												fp.write('''\n'''.join(UpperCamelCase_							)							)




		def    lowerCAmelCase__    (		self   ,       **UpperCamelCase_							):

							'''simple docstring'''


							kwargs.update(self.special_tokens_map							)
							return CTRLTokenizer.from_pretrained(self.tmpdirname   ,       **UpperCamelCase_							)




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__       :Any							 =			'''adapt react readapt apt'''
							UpperCamelCase__       :List[Any]							 =			'''adapt react readapt apt'''
							return input_text, output_text




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Optional[Any]							 =			CTRLTokenizer(self.vocab_file   ,       self.merges_file   ,       **self.special_tokens_map							)
							UpperCamelCase__       :Union[str, Any]							 =			'''adapt react readapt apt'''
							UpperCamelCase__       :Tuple							 =			'''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
							UpperCamelCase__       :Tuple							 =			tokenizer.tokenize(UpperCamelCase_							)
							self.assertListEqual(UpperCamelCase_   ,       UpperCamelCase_							)

							UpperCamelCase__       :Optional[Any]							 =			tokens + [tokenizer.unk_token]

							UpperCamelCase__       :int							 =			[0, 1, 2, 4, 5, 1, 0, 3, 6]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_							)   ,       UpperCamelCase_							)



'''simple docstring'''
from __future__ import annotations

__snake_case											=					[True] * 1000001
__snake_case											=					2
while i * i <= 1000000:
		if seive[i]:
				for j in range(i * i, 1000001, i):
						__snake_case											=					False
		i += 1


def       a				(      __a       )  ->     bool:



					'''simple docstring'''






					return seive[n]


def       a				(      __a       )  ->     bool:



					'''simple docstring'''






					return any(digit in '''02468''' for digit in str(__a       )       )


def       a				(      __a = 1000000       )  ->     list[int]:



					'''simple docstring'''






					UpperCamelCase__       :Any							 =			[2]  # result already includes the number 2.
					for num in range(3			, limit + 1			, 2       ):
										if is_prime(__a       ) and not contains_an_even_digit(__a       ):
															UpperCamelCase__       :str							 =			str(__a       )
															UpperCamelCase__       :List[str]							 =			[int(str_num[j:] + str_num[:j]       ) for j in range(len(__a       )       )]
															if all(is_prime(__a       ) for i in list_nums       ):
																				result.append(__a       )
					return result


def       a				(      )  ->     int:



					'''simple docstring'''






					return len(find_circular_primes()       )


if __name__ == "__main__":
		print(F"""{len(find_circular_primes()) = }""")