




import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase							:						int					       =  get_tests_dir("fixtures/test_sentencepiece.model")







@require_sentencepiece
@require_tokenizers
class     A(		UpperCamelCase				, unittest.TestCase  ):



 '''simple docstring'''


 UpperCamelCase		  =		XGLMTokenizer
 UpperCamelCase		  =		XGLMTokenizerFast
 UpperCamelCase		  =		True
 UpperCamelCase		  =		True

 def 							a__					(							self   :    Dict    )  ->      Optional[Any]:

       """simple docstring"""






       super().setUp()

       # We have a SentencePiece fixture for testing
       lowerCamelCase_							=       XGLMTokenizer(A_		,				keep_accents=A_    )
       tokenizer.save_pretrained(self.tmpdirname    )

 def 							a__					(							self   :    Dict    )  ->      Tuple:

       """simple docstring"""






       lowerCamelCase_							=       '<pad>'
       lowerCamelCase_							=       1

       self.assertEqual(self.get_tokenizer()._convert_token_to_id(A_    )		,				A_    )
       self.assertEqual(self.get_tokenizer()._convert_id_to_token(A_    )		,				A_    )

 def 							a__					(							self   :    Any    )  ->      List[Any]:

       """simple docstring"""






       lowerCamelCase_							=       list(self.get_tokenizer().get_vocab().keys()    )

       self.assertEqual(vocab_keys[0]		,				'<s>'    )
       self.assertEqual(vocab_keys[1]		,				'<pad>'    )
       self.assertEqual(len(A_    )		,				1008    )

 def 							a__					(							self   :    Any    )  ->      Dict:

       """simple docstring"""






       self.assertEqual(self.get_tokenizer().vocab_size		,				1008    )

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

       """simple docstring"""






       lowerCamelCase_							=       XGLMTokenizer(A_		,				keep_accents=A_    )

       lowerCamelCase_							=       tokenizer.tokenize('This is a test'    )
       self.assertListEqual(A_		,				['▁This', '▁is', '▁a', '▁t', 'est']    )

       self.assertListEqual(
           tokenizer.convert_tokens_to_ids(A_    )		,				[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]		,				)

       lowerCamelCase_							=       tokenizer.tokenize('I was born in 92000, and this is falsé.'    )
       self.assertListEqual(
           A_		,				[
               SPIECE_UNDERLINE + 'I',
               SPIECE_UNDERLINE + 'was',
               SPIECE_UNDERLINE + 'b',
               'or',
               'n',
               SPIECE_UNDERLINE + 'in',
               SPIECE_UNDERLINE + '',
               '9',
               '2',
               '0',
               '0',
               '0',
               ',',
               SPIECE_UNDERLINE + 'and',
               SPIECE_UNDERLINE + 'this',
               SPIECE_UNDERLINE + 'is',
               SPIECE_UNDERLINE + 'f',
               'al',
               's',
               'é',
               '.',
           ]		,				)
       lowerCamelCase_							=       tokenizer.convert_tokens_to_ids(A_    )
       self.assertListEqual(
           A_		,				[
               value + tokenizer.fairseq_offset
               for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
           ]		,				)

       lowerCamelCase_							=       tokenizer.convert_ids_to_tokens(A_    )
       self.assertListEqual(
           A_		,				[
               SPIECE_UNDERLINE + 'I',
               SPIECE_UNDERLINE + 'was',
               SPIECE_UNDERLINE + 'b',
               'or',
               'n',
               SPIECE_UNDERLINE + 'in',
               SPIECE_UNDERLINE + '',
               '<unk>',
               '2',
               '0',
               '0',
               '0',
               ',',
               SPIECE_UNDERLINE + 'and',
               SPIECE_UNDERLINE + 'this',
               SPIECE_UNDERLINE + 'is',
               SPIECE_UNDERLINE + 'f',
               'al',
               's',
               '<unk>',
               '.',
           ]		,				)

 @cached_property
 def 							a__					(							self   :    str    )  ->      Optional[Any]:

       """simple docstring"""






       return XGLMTokenizer.from_pretrained('facebook/xglm-564M'    )

 def 							a__					(							self   :    str    )  ->      Optional[int]:

       """simple docstring"""






       with tempfile.NamedTemporaryFile() as f:
             shutil.copyfile(A_		,				f.name    )
             lowerCamelCase_							=       XGLMTokenizer(f.name		,				keep_accents=A_    )
             lowerCamelCase_							=       pickle.dumps(A_    )
       pickle.loads(A_    )

 def 							a__					(							self   :    Dict    )  ->      Optional[Any]:

       """simple docstring"""






       if not self.test_rust_tokenizer:
             return

       lowerCamelCase_							=       self.get_tokenizer()
       lowerCamelCase_							=       self.get_rust_tokenizer()

       lowerCamelCase_							=       'I was born in 92000, and this is falsé.'

       lowerCamelCase_							=       tokenizer.tokenize(A_    )
       lowerCamelCase_							=       rust_tokenizer.tokenize(A_    )
       self.assertListEqual(A_		,				A_    )

       lowerCamelCase_							=       tokenizer.encode(A_		,				add_special_tokens=A_    )
       lowerCamelCase_							=       rust_tokenizer.encode(A_		,				add_special_tokens=A_    )
       self.assertListEqual(A_		,				A_    )

       lowerCamelCase_							=       self.get_rust_tokenizer()
       lowerCamelCase_							=       tokenizer.encode(A_    )
       lowerCamelCase_							=       rust_tokenizer.encode(A_    )
       self.assertListEqual(A_		,				A_    )

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

       """simple docstring"""






       lowerCamelCase_							=       'Hello World!'
       lowerCamelCase_							=       [2, 31227, 4447, 35]

       self.assertListEqual(A_		,				self.big_tokenizer.encode(A_    )    )

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

       """simple docstring"""






       lowerCamelCase_							=       (
           'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
           ' add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth'
       )
       # fmt: off
       lowerCamelCase_							=       [2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 71630, 28085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 13675, 377, 652, 7580, 10341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 202277, 17892, 33, 60, 87, 4, 3234, 157, 61, 2667, 52376, 19, 88, 23, 735]
       # fmt: on

       self.assertListEqual(A_		,				self.big_tokenizer.encode(A_    )    )





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

       """simple docstring"""






       lowerCamelCase_							=       {
           'input_ids': [[2, 108825, 1163, 15, 88010, 473, 15898, 157, 13672, 1857, 312, 8, 238021, 1163, 53, 13672, 1857, 312, 8, 53283, 182396, 8, 18566, 16, 36733, 4101, 8, 230, 244017, 122553, 7, 15, 132597, 4, 293, 12511, 7610, 4, 3414, 132597, 9, 4, 32361, 362, 4, 734, 28512, 32569, 18, 4, 32361, 26096, 14982, 73, 18715, 21433, 235261, 15, 492, 12427, 16, 53, 18715, 21433, 65454, 15, 23659, 563, 16, 278, 597, 2843, 595, 7931, 182396, 64186, 22, 886, 595, 132981, 53, 25540, 3449, 43982, 39901, 5951, 878, 330, 4, 27694, 80269, 312, 53, 6517, 11780, 611, 20408, 5], [2, 6, 132597, 67, 42897, 33, 592, 8, 163729, 25540, 361, 136997, 109514, 173230, 7, 501, 60, 102913, 196, 5631, 235, 63243, 473, 6, 231757, 74, 5277, 7905, 53, 3095, 37317, 22, 454, 183874, 5], [2, 268, 31298, 46530, 6, 132935, 43831, 7, 597, 32, 24, 3688, 9865, 5]],
           'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
       }  # noqa: E501
       # fmt: on

       self.tokenizer_integration_test_util(
           expected_encoding=A_		,				model_name='facebook/xglm-564M'		,				padding=A_		,				)





"""simple docstring"""




from __future__ import annotations

import math



def 							_lowerCamelCase			(			__a     ):

		if num <= 0:
				SCREAMING_SNAKE_CASE_    			=			F'{num}: Invalid input, please enter a positive integer.'
				raise ValueError(__a     )

		SCREAMING_SNAKE_CASE_    			=			[True] * (num + 1)
		SCREAMING_SNAKE_CASE_    			=			[]
		SCREAMING_SNAKE_CASE_    			=			2
		SCREAMING_SNAKE_CASE_    			=			int(math.sqrt(__a     )     )

		while start <= end:
				# If start is a prime
				if sieve[start] is True:
						prime.append(__a     )

						# Set multiples of start be False
						for i in range(start * start,				num + 1,				__a     ):
								if sieve[i] is True:
										SCREAMING_SNAKE_CASE_    			=			False

				start += 1

		for j in range(end + 1,				num + 1     ):
				if sieve[j] is True:
						prime.append(__a     )

		return prime


if __name__ == "__main__":
						print(prime_sieve(int(input('Enter a positive integer: ').strip())))