"""simple docstring"""





import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class        _snake_case   (    a__ ,       unittest.TestCase						):
						snake_case__	     =	None
						snake_case__	     =	BloomTokenizerFast
						snake_case__	     =	BloomTokenizerFast
						snake_case__	     =	True
						snake_case__	     =	False
						snake_case__	     =	"tokenizer_file"
						snake_case__	     =	{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}






						def 					lowerCamelCase__   (				self					:	int			):
													super().setUp()
													__lowerCamelCase    :						Any						      =   BloomTokenizerFast.from_pretrained("bigscience/tokenizer"			)
													tokenizer.save_pretrained(self.tmpdirname			)






						def 					lowerCamelCase__   (				self					:	Any							,    **UpperCAmelCase					:	Optional[int]			):
													kwargs.update(self.special_tokens_map			)
													return BloomTokenizerFast.from_pretrained(self.tmpdirname							,    **UpperCAmelCase			)






						def 					lowerCamelCase__   (				self					:	Optional[Any]			):
													__lowerCamelCase    :						Any						      =   self.get_rust_tokenizer()

													__lowerCamelCase    :						Optional[Any]						      =   ["""The quick brown fox</s>""", """jumps over the lazy dog</s>"""]
													__lowerCamelCase    :						int						      =   [[2175, 23714, 73173, 144252, 2], [77, 132619, 3478, 368, 109586, 35433, 2]]

													__lowerCamelCase    :						Dict						      =   tokenizer.batch_encode_plus(UpperCAmelCase			)["""input_ids"""]
													self.assertListEqual(UpperCAmelCase							,    UpperCAmelCase			)

													__lowerCamelCase    :						int						      =   tokenizer.batch_decode(UpperCAmelCase			)
													self.assertListEqual(UpperCAmelCase							,    UpperCAmelCase			)






						def 					lowerCamelCase__   (				self					:	int							,    UpperCAmelCase					:	Any=6			):






													for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																				with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""			):
																											__lowerCamelCase    :						Optional[int]						      =   self.rust_tokenizer_class.from_pretrained(UpperCAmelCase							,    **UpperCAmelCase			)
																											# tokenizer_r.pad_token = None # Hotfixing padding = None
																											# Simple input
																											__lowerCamelCase    :						Dict						      =   """This is a simple input"""
																											__lowerCamelCase    :						str						      =   ["""This is a simple input 1""", """This is a simple input 2"""]
																											__lowerCamelCase    :						List[str]						      =   ("""This is a simple input""", """This is a pair""")
																											__lowerCamelCase    :						Dict						      =   [
																											    ("""This is a simple input 1""", """This is a simple input 2"""),
																											    ("""This is a simple pair 1""", """This is a simple pair 2"""),
																											]

																											# Simple input tests
																											try:
																																		tokenizer_r.encode(UpperCAmelCase							,    max_length=UpperCAmelCase			)
																																		tokenizer_r.encode_plus(UpperCAmelCase							,    max_length=UpperCAmelCase			)

																																		tokenizer_r.batch_encode_plus(UpperCAmelCase							,    max_length=UpperCAmelCase			)
																																		tokenizer_r.encode(UpperCAmelCase							,    max_length=UpperCAmelCase			)
																																		tokenizer_r.batch_encode_plus(UpperCAmelCase							,    max_length=UpperCAmelCase			)
																											except ValueError:
																																		self.fail("Bloom Tokenizer should be able to deal with padding"			)

																											__lowerCamelCase    :						Union[str, Any]						      =   None  # Hotfixing padding = None
																											self.assertRaises(UpperCAmelCase							,    tokenizer_r.encode							,    UpperCAmelCase							,    max_length=UpperCAmelCase							,    padding="max_length"			)

																											# Simple input
																											self.assertRaises(UpperCAmelCase							,    tokenizer_r.encode_plus							,    UpperCAmelCase							,    max_length=UpperCAmelCase							,    padding="max_length"			)

																											# Simple input
																											self.assertRaises(
																											    UpperCAmelCase							,    tokenizer_r.batch_encode_plus							,    UpperCAmelCase							,    max_length=UpperCAmelCase							,    padding="max_length"							,    )

																											# Pair input
																											self.assertRaises(UpperCAmelCase							,    tokenizer_r.encode							,    UpperCAmelCase							,    max_length=UpperCAmelCase							,    padding="max_length"			)

																											# Pair input
																											self.assertRaises(UpperCAmelCase							,    tokenizer_r.encode_plus							,    UpperCAmelCase							,    max_length=UpperCAmelCase							,    padding="max_length"			)

																											# Pair input
																											self.assertRaises(
																											    UpperCAmelCase							,    tokenizer_r.batch_encode_plus							,    UpperCAmelCase							,    max_length=UpperCAmelCase							,    padding="max_length"							,    )






						def 					lowerCamelCase__   (				self					:	Any			):
													__lowerCamelCase    :						Union[str, Any]						      =   self.get_rust_tokenizer()
													__lowerCamelCase    :						Optional[Any]						      =   load_dataset("xnli"							,    "all_languages"							,    split="test"							,    streaming=UpperCAmelCase			)

													__lowerCamelCase    :						Optional[Any]						      =   next(iter(UpperCAmelCase			)			)["""premise"""]  # pick up one data
													__lowerCamelCase    :						Any						      =   list(sample_data.values()			)

													__lowerCamelCase    :						Optional[Any]						      =   list(map(tokenizer.encode							,    UpperCAmelCase			)			)
													__lowerCamelCase    :						List[Any]						      =   [tokenizer.decode(UpperCAmelCase							,    clean_up_tokenization_spaces=UpperCAmelCase			) for x in output_tokens]
													self.assertListEqual(UpperCAmelCase							,    UpperCAmelCase			)







						def 					lowerCamelCase__   (				self					:	Optional[Any]			):
													self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map			)							,    1			)
													self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()			)[0]			)							,    1			)



"""simple docstring"""






import math
def      lowerCamelCase       (     _UpperCamelCase		:      int							)		->       list[int]:

							'''simple docstring'''



							__UpperCAmelCase   :						List[Any]      							=					[]
							__UpperCAmelCase   :						Dict      							=					2
							__UpperCAmelCase   :						Union[str, Any]      							=					int(math.sqrt(_UpperCamelCase							)							)  # Size of every segment
							__UpperCAmelCase   :						Tuple      							=					[True] * (end + 1)
							__UpperCAmelCase   :						int      							=					[]

							while start <= end:
														if temp[start] is True:
																					in_prime.append(_UpperCamelCase							)
																					for i in range(start * start       ,			end + 1       ,			_UpperCamelCase							):
																												__UpperCAmelCase   :						Dict      							=					False
														start += 1
							prime += in_prime

							__UpperCAmelCase   :						Optional[int]      							=					end + 1
							__UpperCAmelCase   :						Dict      							=					min(2 * end       ,			_UpperCamelCase							)

							while low <= n:
														__UpperCAmelCase   :						Union[str, Any]      							=					[True] * (high - low + 1)
														for each in in_prime:
																					__UpperCAmelCase   :						Dict      							=					math.floor(low / each							) * each
																					if t < low:
																												t += each

																					for j in range(_UpperCamelCase       ,			high + 1       ,			_UpperCamelCase							):
																												__UpperCAmelCase   :						Tuple      							=					False

														for j in range(len(_UpperCamelCase							)							):
																					if temp[j] is True:
																												prime.append(j + low							)

														__UpperCAmelCase   :						Tuple      							=					high + 1
														__UpperCAmelCase   :						Optional[int]      							=					min(high + end       ,			_UpperCamelCase							)

							return prime
print(sieve(10**6))
