


import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
						snake_case							:	int					      =				'''pt'''
elif is_tf_available():
						snake_case							:	str					      =				'''tf'''
else:
						snake_case							:	Optional[int]					      =				'''jax'''







class 	snake_case_       (lowerCamelCase_     ,						unittest.TestCase				):
					UpperCAmelCase__ :   List[str]   				=      ByTaTokenizer
					UpperCAmelCase__ :   Dict   				=      False
					def 			lowerCamelCase__(				self       :Tuple				) ->   Any:
												super().setUp()
												a__					=					ByTaTokenizer()
												tokenizer.save_pretrained(self.tmpdirname				)
					@cached_property
					def 			lowerCamelCase__(				self       :Union[str, Any]				) ->   int:
												return ByTaTokenizer.from_pretrained('google/byt5-small'				)
					def 			lowerCamelCase__(				self       :Union[str, Any]      ,**__snake_case       :List[str]				) ->   ByTaTokenizer:
												return self.tokenizer_class.from_pretrained(self.tmpdirname      ,**__snake_case				)
					def 			lowerCamelCase__(				self       :Optional[Any]      ,__snake_case       :List[str]      ,__snake_case       :List[Any]=False      ,__snake_case       :Tuple=20      ,__snake_case       :List[Any]=5				) ->   Tuple[str, list]:
												# XXX The default common tokenizer tests assume that every ID is decodable on its own.
												# This assumption is invalid for ByT5 because single bytes might not be
												# valid utf-8 (byte 128 for instance).
												# Here we're overriding the smallest possible method to provide
												# a clean sequence without making the same assumption.

												a__					=					[]
												for i in range(len(__snake_case				)				):
																			try:
																										a__					=					tokenizer.decode([i]      ,clean_up_tokenization_spaces=__snake_case				)
																			except UnicodeDecodeError:
																										pass
																			toks.append((i, tok)				)

												a__					=					list(filter(lambda __snake_case				: re.match(R'^[ a-zA-Z]+$'      ,t[1]				)      ,__snake_case				)				)
												a__					=					list(filter(lambda __snake_case				: [t[0]] == tokenizer.encode(t[1]      ,add_special_tokens=__snake_case				)      ,__snake_case				)				)
												if max_length is not None and len(__snake_case				) > max_length:
																			a__					=					toks[:max_length]
												if min_length is not None and len(__snake_case				) < min_length and len(__snake_case				) > 0:
																			while len(__snake_case				) < min_length:
																										a__					=					toks + toks
        # toks_str = [t[1] for t in toks]
												a__					=					[t[0] for t in toks]

												# Ensure consistency
												a__					=					tokenizer.decode(__snake_case      ,clean_up_tokenization_spaces=__snake_case				)
												if " " not in output_txt and len(__snake_case				) > 1:
																			a__					=					(
																			    tokenizer.decode([toks_ids[0]]      ,clean_up_tokenization_spaces=__snake_case				)
																			    + ' '
																			    + tokenizer.decode(toks_ids[1:]      ,clean_up_tokenization_spaces=__snake_case				)
																			)
												if with_prefix_space:
																			a__					=					' ' + output_txt
												a__					=					tokenizer.encode(__snake_case      ,add_special_tokens=__snake_case				)
												return output_txt, output_ids
					def 			lowerCamelCase__(				self       :Tuple				) ->   int:
												a__					=					self.ta_base_tokenizer
												a__					=					tokenizer(['hi</s>', 'I went to the gym</s>', '</s>']				)
												a__					=					tokenizer(['hi', 'I went to the gym', '']				)
												self.assertListEqual(batch_with_eos_added['input_ids']      ,batch_without_eos_added['input_ids']				)
					def 			lowerCamelCase__(				self       :Optional[Any]				) ->   List[Any]:
												a__					=					self.ta_base_tokenizer
												a__					=					'Unicode €.'
												a__					=					tokenizer(__snake_case				)
												a__					=					[88, 1_13, 1_08, 1_02, 1_14, 1_03, 1_04, 35, 2_29, 1_33, 1_75, 49, 1]
												self.assertEqual(encoded['input_ids']      ,__snake_case				)

												# decoding
												a__					=					tokenizer.decode(__snake_case				)
												self.assertEqual(__snake_case      ,'Unicode €.</s>'				)

												a__					=					tokenizer('e è é ê ë'				)
												a__					=					[1_04, 35, 1_98, 1_71, 35, 1_98, 1_72, 35, 1_98, 1_73, 35, 1_98, 1_74, 1]
												self.assertEqual(encoded['input_ids']      ,__snake_case				)
												# decoding
												a__					=					tokenizer.decode(__snake_case				)
												self.assertEqual(__snake_case      ,'e è é ê ë</s>'				)

												# encode/decode, but with `encode` instead of `__call__`
												self.assertEqual(tokenizer.decode(tokenizer.encode('e è é ê ë'				)				)      ,'e è é ê ë</s>'				)
					def 			lowerCamelCase__(				self       :Union[str, Any]				) ->   Union[str, Any]:
												a__					=					self.ta_base_tokenizer
												a__					=					['A long paragraph for summarization.', 'Another paragraph for summarization.']
												# fmt: off
												a__					=					[68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 1, 0]
												# fmt: on
												a__					=					tokenizer(__snake_case      ,padding=__snake_case      ,return_tensors=__snake_case				)
												self.assertIsInstance(__snake_case      ,__snake_case				)

												if FRAMEWORK != "jax":
																			a__					=					list(batch.input_ids.numpy()[0]				)
												else:
																			a__					=					list(batch.input_ids.tolist()[0]				)

												self.assertListEqual(__snake_case      ,__snake_case				)

												self.assertEqual((2, 37)      ,batch.input_ids.shape				)
												self.assertEqual((2, 37)      ,batch.attention_mask.shape				)
					def 			lowerCamelCase__(				self       :int				) ->   Tuple:
												a__					=					self.ta_base_tokenizer
												a__					=					['A long paragraph for summarization.', 'Another paragraph for summarization.']
												a__					=					tokenizer(__snake_case      ,padding=__snake_case      ,return_tensors=__snake_case				)
												# check if input_ids are returned and no decoder_input_ids
												self.assertIn('input_ids'      ,__snake_case				)
												self.assertIn('attention_mask'      ,__snake_case				)
												self.assertNotIn('decoder_input_ids'      ,__snake_case				)
												self.assertNotIn('decoder_attention_mask'      ,__snake_case				)
					def 			lowerCamelCase__(				self       :List[Any]				) ->   str:
												a__					=					self.ta_base_tokenizer
												a__					=					[
												    'Summary of the text.',
												    'Another summary.',
												]
												a__					=					tokenizer(
												    text_target=__snake_case      ,max_length=32      ,padding='max_length'      ,truncation=__snake_case      ,return_tensors=__snake_case				)
												self.assertEqual(32      ,targets['input_ids'].shape[1]				)
					def 			lowerCamelCase__(				self       :Dict				) ->   Union[str, Any]:
												a__					=					self.ta_base_tokenizer
												a__					=					['A long paragraph for summarization. </s>']
												a__					=					['Summary of the text. </s>']
												# fmt: off
												a__					=					[68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 35, 1]
												a__					=					[86, 1_20, 1_12, 1_12, 1_00, 1_17, 1_24, 35, 1_14, 1_05, 35, 1_19, 1_07, 1_04, 35, 1_19, 1_04, 1_23, 1_19, 49, 35, 1]
												# fmt: on

												a__					=					tokenizer(__snake_case      ,text_target=__snake_case				)

												self.assertEqual(__snake_case      ,batch['input_ids'][0]				)
												self.assertEqual(__snake_case      ,batch['labels'][0]				)
					def 			lowerCamelCase__(				self       :Any				) ->   Dict:
												# safety check on max_len default value so we are sure the test works
												a__					=					self.get_tokenizers()
												for tokenizer in tokenizers:
																			with self.subTest(F'{tokenizer.__class__.__name__}'				):
																										self.assertNotEqual(tokenizer.model_max_length      ,42				)

        # Now let's start the test
												a__					=					self.get_tokenizers()
												for tokenizer in tokenizers:
																			with self.subTest(F'{tokenizer.__class__.__name__}'				):
																										# Isolate this from the other tests because we save additional tokens/etc
																										a__					=					tempfile.mkdtemp()

																										a__					=					' He is very happy, UNwant\u00E9d,running'
																										a__					=					tokenizer.encode(__snake_case      ,add_special_tokens=__snake_case				)
																										tokenizer.save_pretrained(__snake_case				)

																										a__					=					tokenizer.__class__.from_pretrained(__snake_case				)
																										a__					=					after_tokenizer.encode(__snake_case      ,add_special_tokens=__snake_case				)
																										self.assertListEqual(__snake_case      ,__snake_case				)

																										shutil.rmtree(__snake_case				)

												a__					=					self.get_tokenizers(model_max_length=42				)
												for tokenizer in tokenizers:
																			with self.subTest(F'{tokenizer.__class__.__name__}'				):
																										# Isolate this from the other tests because we save additional tokens/etc
																										a__					=					tempfile.mkdtemp()

																										a__					=					' He is very happy, UNwant\u00E9d,running'
																										tokenizer.add_tokens(['bim', 'bambam']				)
																										a__					=					tokenizer.additional_special_tokens
																										additional_special_tokens.append('new_additional_special_token'				)
																										tokenizer.add_special_tokens({'additional_special_tokens': additional_special_tokens}				)
																										a__					=					tokenizer.encode(__snake_case      ,add_special_tokens=__snake_case				)
																										tokenizer.save_pretrained(__snake_case				)

																										a__					=					tokenizer.__class__.from_pretrained(__snake_case				)
																										a__					=					after_tokenizer.encode(__snake_case      ,add_special_tokens=__snake_case				)
																										self.assertListEqual(__snake_case      ,__snake_case				)
																										self.assertIn('new_additional_special_token'      ,after_tokenizer.additional_special_tokens				)
																										self.assertEqual(after_tokenizer.model_max_length      ,42				)

																										a__					=					tokenizer.__class__.from_pretrained(__snake_case      ,model_max_length=43				)
																										self.assertEqual(tokenizer.model_max_length      ,43				)

																										shutil.rmtree(__snake_case				)
					def 			lowerCamelCase__(				self       :Union[str, Any]				) ->   Optional[int]:
												a__					=					[]
												if self.test_slow_tokenizer:
																			tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())				)

												if self.test_rust_tokenizer:
																			tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())				)

												for tokenizer_class, tokenizer_utils in tokenizer_list:
																			with tempfile.TemporaryDirectory() as tmp_dir:
																										tokenizer_utils.save_pretrained(__snake_case				)

																										with open(os.path.join(__snake_case      ,'special_tokens_map.json'				)      ,encoding='utf-8'				) as json_file:
																																	a__					=					json.load(__snake_case				)

																										with open(os.path.join(__snake_case      ,'tokenizer_config.json'				)      ,encoding='utf-8'				) as json_file:
																																	a__					=					json.load(__snake_case				)

																										a__					=					[F'<extra_id_{i}>' for i in range(1_25				)]

																										a__					=					added_tokens_extra_ids + [
																										    'an_additional_special_token'
																										]
																										a__					=					added_tokens_extra_ids + [
																										    'an_additional_special_token'
																										]

																										with open(os.path.join(__snake_case      ,'special_tokens_map.json'				)      ,'w'      ,encoding='utf-8'				) as outfile:
																																	json.dump(__snake_case      ,__snake_case				)
																										with open(os.path.join(__snake_case      ,'tokenizer_config.json'				)      ,'w'      ,encoding='utf-8'				) as outfile:
																																	json.dump(__snake_case      ,__snake_case				)

																										# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
																										# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
																										# "special_tokens_map.json" files
																										a__					=					tokenizer_class.from_pretrained(
																										    __snake_case      ,)
																										self.assertIn(
																										    'an_additional_special_token'      ,tokenizer_without_change_in_init.additional_special_tokens				)
																										# self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
																										self.assertEqual(
																										    ['an_additional_special_token']      ,tokenizer_without_change_in_init.convert_ids_to_tokens(
																										        tokenizer_without_change_in_init.convert_tokens_to_ids(['an_additional_special_token']				)				)      ,)

																										# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																										a__					=					added_tokens_extra_ids + [AddedToken('a_new_additional_special_token'      ,lstrip=__snake_case				)]
																										a__					=					tokenizer_class.from_pretrained(
																										    __snake_case      ,additional_special_tokens=__snake_case      ,)

																										self.assertIn('a_new_additional_special_token'      ,tokenizer.additional_special_tokens				)
																										self.assertEqual(
																										    ['a_new_additional_special_token']      ,tokenizer.convert_ids_to_tokens(
																										        tokenizer.convert_tokens_to_ids(['a_new_additional_special_token']				)				)      ,)
					def 			lowerCamelCase__(				self       :Dict				) ->   Union[str, Any]:
												a__					=					[]
												if self.test_slow_tokenizer:
																			tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())				)

												if self.test_rust_tokenizer:
																			tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())				)

												for tokenizer_class, tokenizer_utils in tokenizer_list:
																			with tempfile.TemporaryDirectory() as tmp_dir:
																										tokenizer_utils.save_pretrained(__snake_case				)

																										a__					=					tokenizer_class.from_pretrained(__snake_case				)

																										self.assertTrue(tokenizer.decode([2_55]				) == ''				)
					def 			lowerCamelCase__(				self       :List[Any]				) ->   Optional[int]:
												pass
					def 			lowerCamelCase__(				self       :List[Any]				) ->   Union[str, Any]:
												pass
					def 			lowerCamelCase__(				self       :List[str]				) ->   Any:
												pass
					def 			lowerCamelCase__(				self       :Dict				) ->   Dict:
												pass
					def 			lowerCamelCase__(				self       :Any				) ->   int:
												# The default common tokenizer tests uses invalid tokens for ByT5 that can only accept one-character strings
												# and special added tokens as tokens
												a__					=					self.get_tokenizers(fast=__snake_case      ,do_lower_case=__snake_case				)
												for tokenizer in tokenizers:
																			with self.subTest(F'{tokenizer.__class__.__name__}'				):
																										a__					=					['t', 'h', 'i', 's', ' ', 'i', 's', ' ', 'a', ' ', 't', 'e', 'x', 't', '</s>']
																										a__					=					tokenizer.convert_tokens_to_string(__snake_case				)

																										self.assertIsInstance(__snake_case      ,__snake_case				)



					def 			lowerCamelCase__(				self       :List[Any]				) ->   Any:
												a__					=					self.get_tokenizers()
												for tokenizer in tokenizers:
																			with self.subTest(F'{tokenizer.__class__.__name__}'				):
																										a__					=					[
																										    'bos_token',
																										    'eos_token',
																										    'unk_token',
																										    'sep_token',
																										    'pad_token',
																										    'cls_token',
																										    'mask_token',
																										]

																										a__					=					0
																										a__					=					tokenizer.convert_ids_to_tokens(
																										    __snake_case      ,skip_special_tokens=__snake_case				)

																										for attr in attributes_list:
																																	setattr(__snake_case      ,attr + '_id'      ,__snake_case				)
																																	self.assertEqual(getattr(__snake_case      ,__snake_case				)      ,__snake_case				)
																																	self.assertEqual(getattr(__snake_case      ,attr + '_id'				)      ,__snake_case				)

																																	setattr(__snake_case      ,attr + '_id'      ,__snake_case				)
																																	self.assertEqual(getattr(__snake_case      ,__snake_case				)      ,__snake_case				)
																																	self.assertEqual(getattr(__snake_case      ,attr + '_id'				)      ,__snake_case				)

																										setattr(__snake_case      ,'additional_special_tokens_ids'      ,[]				)
																										self.assertListEqual(getattr(__snake_case      ,'additional_special_tokens'				)      ,[]				)
																										self.assertListEqual(getattr(__snake_case      ,'additional_special_tokens_ids'				)      ,[]				)

																										setattr(__snake_case      ,'additional_special_tokens_ids'      ,[token_id_to_test_setters]				)
																										self.assertListEqual(getattr(__snake_case      ,'additional_special_tokens'				)      ,[token_to_test_setters]				)
																										self.assertListEqual(getattr(__snake_case      ,'additional_special_tokens_ids'				)      ,[token_id_to_test_setters]				)








def 							__lowercase       (			__lowerCAmelCase							:    int       ):

							if num <= 0:
														raise ValueError('Input must be a positive integer'       )

							a__					=					[True] * (num + 1)

							a__					=					2
							while p * p <= num:
														if primes[p]:
																					for i in range(p * p ,   num + 1 ,   __lowerCAmelCase       ):
																												a__					=					False
														p += 1

							return [prime for prime in range(2 ,   num + 1       ) if primes[prime]]


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						snake_case							:	Optional[Any]					      =				int(input('''Enter a positive integer: ''').strip())
						print(prime_sieve_eratosthenes(user_num))




