from __future__ import annotations

A   :     List[Any]       =				1.6_021E-19  # units = C


def    a__       (						__UpperCamelCase   ,					__UpperCamelCase   ,					__UpperCamelCase   ,					):
      if (conductivity, electron_conc, mobility).count(0 ) != 1:
            raise ValueError("You cannot supply more or less than 2 values" )
      elif conductivity < 0:
            raise ValueError("Conductivity cannot be negative" )
      elif electron_conc < 0:
            raise ValueError("Electron concentration cannot be negative" )
      elif mobility < 0:
            raise ValueError("mobility cannot be negative" )
      elif conductivity == 0:
            return (
                "conductivity",
                mobility * electron_conc * ELECTRON_CHARGE,
            )
      elif electron_conc == 0:
            return (
                "electron_conc",
                conductivity / (mobility * ELECTRON_CHARGE),
            )
      else:
            return (
                "mobility",
                conductivity / (electron_conc * ELECTRON_CHARGE),
            )


if __name__ == "__main__":
      import doctest

      doctest.testmod()



from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available


@dataclass
class      lowerCamelCase    (SCREAMING_SNAKE_CASE__    ):
  """simple docstring"""







  lowerCamelCase__   =  42
  lowerCamelCase__   =  42


if is_transformers_available() and is_torch_available():
      from .pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline


