






'''simple docstring'''







from __future__ import annotations

import math
from itertools import permutations


def 						_UpperCamelCase							(     snake_case__							):

      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(snake_case__							) + 1							)							,			6							):
            if number % i == 0 or number % (i + 2) == 0:
                  return False
      return True


def 						_UpperCamelCase							(     snake_case__ = 7							):
      __A		   =      "".join(str(snake_case__							) for i in range(1							,			n + 1							)							)
      __A		   =      [int("".join(snake_case__							)							) for i in permutations(snake_case__							,			snake_case__							)]
      __A		   =      [num for num in perm_list if is_prime(snake_case__							)]
      return max(snake_case__							) if pandigitals else 0


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










'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A      :       str      =	{'configuration_umt5': ['UMT5Config', 'UMT5OnnxConfig']}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __A      :       str      =	[
           'UMT5EncoderModel',
           'UMT5ForConditionalGeneration',
           'UMT5ForQuestionAnswering',
           'UMT5Model',
           'UMT5PreTrainedModel',
       ]

if TYPE_CHECKING:
       from .configuration_umta import UMTaConfig, UMTaOnnxConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_umta import (
                  UMTaEncoderModel,
                  UMTaForConditionalGeneration,
                  UMTaForQuestionAnswering,
                  UMTaModel,
                  UMTaPreTrainedModel,
              )
else:
       import sys

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


