
from __future__ import annotations


def     a__			(    snake_case    ):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE     :					Dict			=						[0] * max_one

  for i in range(0   ,	snake_case    ):
    __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						i

  for i in range(2   ,	snake_case    ):
    if totients[i] == i:
      for j in range(snake_case   ,	snake_case   ,	snake_case    ):
        totients[j] -= totients[j] // i

  return totients


def     a__			(    snake_case   ,	snake_case    ):





  """simple docstring"""
  return sorted(str(snake_case    )    ) == sorted(str(snake_case    )    )


def     a__			(    snake_case = 10_000_000    ):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE     :					Any			=						1  # i
  __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						0  # φ(i)
  __SCREAMING_SNAKE_CASE     :					Dict			=						get_totients(max_n + 1    )

  for i in range(2   ,	max_n + 1    ):
    __SCREAMING_SNAKE_CASE     :					Any			=						totients[i]

    if i * min_denominator < min_numerator * t and has_same_digits(snake_case   ,	snake_case    ):
      __SCREAMING_SNAKE_CASE     :					List[Any]			=						i
      __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						t

  return min_numerator


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


from typing import TYPE_CHECKING

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


lowercase_											=	{
    """configuration_led""": ["""LED_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LEDConfig"""],
    """tokenization_led""": ["""LEDTokenizer"""],
}

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

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase_											=	[
       """LED_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """LEDForConditionalGeneration""",
       """LEDForQuestionAnswering""",
       """LEDForSequenceClassification""",
       """LEDModel""",
       """LEDPreTrainedModel""",
   ]


try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase_											=	["""TFLEDForConditionalGeneration""", """TFLEDModel""", """TFLEDPreTrainedModel"""]


if TYPE_CHECKING:
   from .configuration_led import LED_PRETRAINED_CONFIG_ARCHIVE_MAP, LEDConfig
   from .tokenization_led import LEDTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_led_fast import LEDTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_led import (
          LED_PRETRAINED_MODEL_ARCHIVE_LIST,
          LEDForConditionalGeneration,
          LEDForQuestionAnswering,
          LEDForSequenceClassification,
          LEDModel,
          LEDPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_led import TFLEDForConditionalGeneration, TFLEDModel, TFLEDPreTrainedModel

else:
   import sys

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