



"""simple docstring"""

from __future__ import annotations

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





def       __magic_name__    (   _lowerCamelCase				: int					):
							return seive[n]





def       __magic_name__    (   _lowerCamelCase				: int					):
							return any(digit in """02468""" for digit in str(_lowerCamelCase					)					)





def       __magic_name__    (   _lowerCamelCase				: int = 1_0_0_0_0_0_0					):
							__a		:		str									=       [2]  # result already includes the number 2.
							for num in range(3  ,       limit + 1  ,       2					):
														if is_prime(_lowerCamelCase					) and not contains_an_even_digit(_lowerCamelCase					):
																					__a		:		str									=       str(_lowerCamelCase					)
																					__a		:		str									=       [int(str_num[j:] + str_num[:j]					) for j in range(len(_lowerCamelCase					)					)]
																					if all(is_prime(_lowerCamelCase					) for i in list_nums					):
																												result.append(_lowerCamelCase					)
							return result





def       __magic_name__    (   ):
							return len(find_circular_primes()					)


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






"""simple docstring"""

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


lowercase__			   =  {
    "configuration_llama": ["LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP", "LlamaConfig"],
}

try:
	if not is_sentencepiece_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowercase__			   =  ["LlamaTokenizer"]

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowercase__			   =  ["LlamaTokenizerFast"]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowercase__			   =  [
	    "LlamaForCausalLM",
	    "LlamaModel",
	    "LlamaPreTrainedModel",
	    "LlamaForSequenceClassification",
	]


if TYPE_CHECKING:
	from .configuration_llama import LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, LlamaConfig

	try:
		if not is_sentencepiece_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_llama import LlamaTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_llama_fast import LlamaTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_llama import LlamaForCausalLM, LlamaForSequenceClassification, LlamaModel, LlamaPreTrainedModel


else:
	import sys

	lowercase__			   =  _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

