
"""simple docstring"""
import math


def      lowerCamelCase_     (						lowerCamelCase_			)  ->      bool:


					'''simple docstring'''

					if 1 < number < 4:
										# 2 and 3 are primes
										return True
					elif number < 2 or number % 2 == 0 or number % 3 == 0:
										# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
										return False

					# All primes number are in format of 6k +/- 1
					for i in range(5						,					int(math.sqrt(lowerCamelCase_			) + 1			)						,					6			):
										if number % i == 0 or number % (i + 2) == 0:
															return False
					return True


def      lowerCamelCase_     (						lowerCamelCase_ = 60_08_51_47_51_43			)  ->      int:


					'''simple docstring'''

					try:
										__a:    List[Any]		     =       int(lowerCamelCase_			)
					except (TypeError, ValueError):
										raise TypeError("""Parameter n must be int or castable to int."""			)
					if n <= 0:
										raise ValueError("""Parameter n must be greater than or equal to one."""			)
					__a:    Dict		     =       0
					if is_prime(lowerCamelCase_			):
										return n
					while n % 2 == 0:
										n //= 2
					if is_prime(lowerCamelCase_			):
										return n
					for i in range(3						,					int(math.sqrt(lowerCamelCase_			)			) + 1						,					2			):
										if n % i == 0:
															if is_prime(n // i			):
																				__a:    Union[str, Any]		     =       n // i
																				break
															elif is_prime(lowerCamelCase_			):
																				__a:    List[str]		     =       i
					return max_number


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


"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowercase		:    Tuple			=       {
    'configuration_codegen': ['CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CodeGenConfig', 'CodeGenOnnxConfig'],
    'tokenization_codegen': ['CodeGenTokenizer'],
}

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowercase		:    int			=       ['CodeGenTokenizerFast']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowercase		:    Optional[int]			=       [
			    'CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'CodeGenForCausalLM',
			    'CodeGenModel',
			    'CodeGenPreTrainedModel',
			]

if TYPE_CHECKING:
			from .configuration_codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenOnnxConfig
			from .tokenization_codegen import CodeGenTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_codegen_fast import CodeGenTokenizerFast

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_codegen import (
						    CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
						    CodeGenForCausalLM,
						    CodeGenModel,
						    CodeGenPreTrainedModel,
						)

else:
			import sys

			lowercase		:    Optional[Any]			=       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
