



'''simple docstring'''



from __future__ import annotations


def 							__UpperCAmelCase				(				UpperCamelCase__				:int			)		->						list[int]:
				snake_case__      :   Any      =    [0] * max_one

				for i in range(0   ,				UpperCamelCase__			):
								snake_case__      :   str      =    i

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

				return totients


def 							__UpperCAmelCase				(				UpperCamelCase__				:int   ,				UpperCamelCase__				:int			)		->						bool:
				return sorted(str(UpperCamelCase__			)			) == sorted(str(UpperCamelCase__			)			)


def 							__UpperCAmelCase				(				UpperCamelCase__				:int = 1000_0000			)		->						int:
				snake_case__      :   int      =    1  # i
				snake_case__      :   List[Any]      =    0  # φ(i)
				snake_case__      :   List[str]      =    get_totients(max_n + 1			)

				for i in range(2   ,				max_n + 1			):
								snake_case__      :   Optional[int]      =    totients[i]

								if i * min_denominator < min_numerator * t and has_same_digits(UpperCamelCase__   ,				UpperCamelCase__			):
												snake_case__      :   List[Any]      =    i
												snake_case__      :   Optional[int]      =    t

				return min_numerator


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






'''simple docstring'''
from typing import TYPE_CHECKING

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


a_           =    {
    "configuration_sam": [
        "SAM_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SamConfig",
        "SamMaskDecoderConfig",
        "SamPromptEncoderConfig",
        "SamVisionConfig",
    ],
    "processing_sam": ["SamProcessor"],
}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a_           =    [
      "SAM_PRETRAINED_MODEL_ARCHIVE_LIST",
      "SamModel",
      "SamPreTrainedModel",
  ]
try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a_           =    [
      "TF_SAM_PRETRAINED_MODEL_ARCHIVE_LIST",
      "TFSamModel",
      "TFSamPreTrainedModel",
  ]
try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a_           =    ["SamImageProcessor"]


if TYPE_CHECKING:
  from .configuration_sam import (
      SAM_PRETRAINED_CONFIG_ARCHIVE_MAP,
      SamConfig,
      SamMaskDecoderConfig,
      SamPromptEncoderConfig,
      SamVisionConfig,
  )
  from .processing_sam import SamProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_sam import SAM_PRETRAINED_MODEL_ARCHIVE_LIST, SamModel, SamPreTrainedModel

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_sam import TF_SAM_PRETRAINED_MODEL_ARCHIVE_LIST, TFSamModel, TFSamPreTrainedModel

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_sam import SamImageProcessor

else:
  import sys

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




