


from __future__ import annotations

import sys







def 	A (		A__		,		A__			):
     # base cases
     if abs(A__			) == 1:
          return a, 0
     elif abs(A__			) == 1:
          return 0, b

     UpperCAmelCase	,			UpperCAmelCase    :					Any			=      a, b
     UpperCAmelCase	,			UpperCAmelCase    :					List[Any]			=      1, 0
     UpperCAmelCase	,			UpperCAmelCase    :					Union[str, Any]			=      0, 1

     while remainder != 0:
          UpperCAmelCase    :					Union[str, Any]			=      old_remainder // remainder
          UpperCAmelCase	,			UpperCAmelCase    :					Dict			=      remainder, old_remainder - quotient * remainder
          UpperCAmelCase	,			UpperCAmelCase    :					int			=      coeff_a, old_coeff_a - quotient * coeff_a
          UpperCAmelCase	,			UpperCAmelCase    :					Optional[Any]			=      coeff_b, old_coeff_b - quotient * coeff_b

     # sign correction for negative numbers
     if a < 0:
          UpperCAmelCase    :					Union[str, Any]			=      -old_coeff_a
     if b < 0:
          UpperCAmelCase    :					int			=      -old_coeff_b

     return old_coeff_a, old_coeff_b







def 	A (		):
     if len(sys.argv			) < 3:
          print("2 integer arguments required"			)
          return 1
     UpperCAmelCase    :					Union[str, Any]			=      int(sys.argv[1]			)
     UpperCAmelCase    :					Any			=      int(sys.argv[2]			)
     print(extended_euclidean_algorithm(A__		,		A__			)			)
     return 0


if __name__ == "__main__":
      raise SystemExit(main())







from typing import TYPE_CHECKING

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


_snake_case				=			{
    "configuration_oneformer": ["ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "OneFormerConfig"],
    "processing_oneformer": ["OneFormerProcessor"],
}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _snake_case				=			["OneFormerImageProcessor"]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _snake_case				=			[
          "ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
          "OneFormerForUniversalSegmentation",
          "OneFormerModel",
          "OneFormerPreTrainedModel",
      ]

if TYPE_CHECKING:
      from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
      from .processing_oneformer import OneFormerProcessor

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .image_processing_oneformer import OneFormerImageProcessor
      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_oneformer import (
                ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                OneFormerForUniversalSegmentation,
                OneFormerModel,
                OneFormerPreTrainedModel,
            )


else:
      import sys

      _snake_case				=			_LazyModule(__name__, globals()["__file__"], _import_structure)



