
from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


A		: Optional[int]								=     logging.get_logger(__name__)

A		: List[Any]								=     '''T5Config'''



class    a_ (			_a    ):
			a	:			Optional[Any]					   =							'''mt5'''
			a	:			Optional[int]					   =							MTaConfig







class    a_ (			_a    ):
			a	:			Optional[int]					   =							'''mt5'''
			a	:			Optional[int]					   =							MTaConfig







class    a_ (			_a    ):
			a	:			Any					   =							'''mt5'''
			a	:			int					   =							MTaConfig

from __future__ import annotations




def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	float		,   SCREAMING_SNAKE_CASE_	:	float		,   SCREAMING_SNAKE_CASE_	:	float		,   )  ->     tuple:
						if (electron_conc, hole_conc, intrinsic_conc).count(0       ) != 1:
												raise ValueError("""You cannot supply more or less than 2 values"""       )
						elif electron_conc < 0:
												raise ValueError("""Electron concentration cannot be negative in a semiconductor"""       )
						elif hole_conc < 0:
												raise ValueError("""Hole concentration cannot be negative in a semiconductor"""       )
						elif intrinsic_conc < 0:
												raise ValueError(
												    """Intrinsic concentration cannot be negative in a semiconductor"""       )
						elif electron_conc == 0:
												return (
												    "electron_conc",
												    intrinsic_conc**2 / hole_conc,
												)
						elif hole_conc == 0:
												return (
												    "hole_conc",
												    intrinsic_conc**2 / electron_conc,
												)
						elif intrinsic_conc == 0:
												return (
												    "intrinsic_conc",
												    (electron_conc * hole_conc) ** 0.5,
												)
						else:
												return (-1, -1)


if __name__ == "__main__":
		import doctest

		doctest.testmod()