



"""simple docstring"""
import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Value
from .base import TaskTemplate



@dataclass(frozen=snake_case__				)
class    SCREAMING_SNAKE_CASE__						(      snake_case__				):
   __lowerCAmelCase						:     str		=		field(default='text-classification'   ,    metadata={'include_in_asdict_even_if_is_default': True}				)
   __lowerCAmelCase						:     ClassVar[Features]		=		Features({'text': Value('string'				)}				)
   __lowerCAmelCase						:     ClassVar[Features]		=		Features({'labels': ClassLabel}				)
   __lowerCAmelCase						:     str		=		"text"
   __lowerCAmelCase						:     str		=		"labels"

   def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE		)						->   Union[str, Any]:





    '''simple docstring'''




    if self.label_column not in features:
     raise ValueError(F"Column {self.label_column} is not present in features."		)
    if not isinstance(features[self.label_column]   ,  _A		):
     raise ValueError(F"Column {self.label_column} is not a ClassLabel."		)
    UpperCAmelCase			:      Any			=			copy.deepcopy(self		)
    UpperCAmelCase			:      Dict			=			self.label_schema.copy()
    UpperCAmelCase			:      Any			=			features[self.label_column]
    UpperCAmelCase			:      Optional[int]			=			label_schema
    return task_template




   @property
   def 			SCREAMING_SNAKE_CASE  (     self		)						->   List[Any]:





    '''simple docstring'''




    return {
        self.text_column: "text",
        self.label_column: "labels",
    }





"""simple docstring"""
from __future__ import annotations

from decimal import Decimal

from numpy import array

def    _snake_case		(		UpperCamelCase		:	list[list[float]]		):
 UpperCAmelCase			:      str			=			Decimal

 # Check if the provided matrix has 2 rows and 2 columns
 # since this implementation only works for 2x2 matrices
 if len(UpperCamelCase		) == 2 and len(matrix[0]		) == 2 and len(matrix[1]		) == 2:
  # Calculate the determinant of the matrix
  UpperCAmelCase			:      Optional[int]			=			float(
      d(matrix[0][0]		) * d(matrix[1][1]		) - d(matrix[1][0]		) * d(matrix[0][1]		)		)
  if determinant == 0:
   raise ValueError("""This matrix has no inverse."""		)

  # Creates a copy of the matrix with swapped positions of the elements
  UpperCAmelCase			:      Optional[Any]			=			[[0.0, 0.0], [0.0, 0.0]]
  UpperCAmelCase			,	UpperCAmelCase			:      Any			=			matrix[1][1], matrix[0][0]
  UpperCAmelCase			,	UpperCAmelCase			:      Union[str, Any]			=			-matrix[1][0], -matrix[0][1]

  # Calculate the inverse of the matrix
  return [
      [(float(d(UpperCamelCase		)		) / determinant) or 0.0 for n in row] for row in swapped_matrix
  ]
 elif (
     len(UpperCamelCase		) == 3
     and len(matrix[0]		) == 3
     and len(matrix[1]		) == 3
     and len(matrix[2]		) == 3
 ):
  # Calculate the determinant of the matrix using Sarrus rule
  UpperCAmelCase			:      str			=			float(
      (
          (d(matrix[0][0]		) * d(matrix[1][1]		) * d(matrix[2][2]		))
          + (d(matrix[0][1]		) * d(matrix[1][2]		) * d(matrix[2][0]		))
          + (d(matrix[0][2]		) * d(matrix[1][0]		) * d(matrix[2][1]		))
      )
      - (
          (d(matrix[0][2]		) * d(matrix[1][1]		) * d(matrix[2][0]		))
          + (d(matrix[0][1]		) * d(matrix[1][0]		) * d(matrix[2][2]		))
          + (d(matrix[0][0]		) * d(matrix[1][2]		) * d(matrix[2][1]		))
      )		)
  if determinant == 0:
   raise ValueError("""This matrix has no inverse."""		)

  # Creating cofactor matrix
  UpperCAmelCase			:      Optional[int]			=			[
      [d(0.0		), d(0.0		), d(0.0		)],
      [d(0.0		), d(0.0		), d(0.0		)],
      [d(0.0		), d(0.0		), d(0.0		)],
  ]
  UpperCAmelCase			:      str			=			(d(matrix[1][1]		) * d(matrix[2][2]		)) - (
      d(matrix[1][2]		) * d(matrix[2][1]		)
  )
  UpperCAmelCase			:      List[str]			=			-(
      (d(matrix[1][0]		) * d(matrix[2][2]		)) - (d(matrix[1][2]		) * d(matrix[2][0]		))
  )
  UpperCAmelCase			:      Optional[int]			=			(d(matrix[1][0]		) * d(matrix[2][1]		)) - (
      d(matrix[1][1]		) * d(matrix[2][0]		)
  )
  UpperCAmelCase			:      Optional[int]			=			-(
      (d(matrix[0][1]		) * d(matrix[2][2]		)) - (d(matrix[0][2]		) * d(matrix[2][1]		))
  )
  UpperCAmelCase			:      str			=			(d(matrix[0][0]		) * d(matrix[2][2]		)) - (
      d(matrix[0][2]		) * d(matrix[2][0]		)
  )
  UpperCAmelCase			:      Union[str, Any]			=			-(
      (d(matrix[0][0]		) * d(matrix[2][1]		)) - (d(matrix[0][1]		) * d(matrix[2][0]		))
  )
  UpperCAmelCase			:      Dict			=			(d(matrix[0][1]		) * d(matrix[1][2]		)) - (
      d(matrix[0][2]		) * d(matrix[1][1]		)
  )
  UpperCAmelCase			:      Optional[Any]			=			-(
      (d(matrix[0][0]		) * d(matrix[1][2]		)) - (d(matrix[0][2]		) * d(matrix[1][0]		))
  )
  UpperCAmelCase			:      str			=			(d(matrix[0][0]		) * d(matrix[1][1]		)) - (
      d(matrix[0][1]		) * d(matrix[1][0]		)
  )

  # Transpose the cofactor matrix (Adjoint matrix)
  UpperCAmelCase			:      str			=			array(UpperCamelCase		)
  for i in range(3		):
   for j in range(3		):
    UpperCAmelCase			:      Any			=			cofactor_matrix[j][i]

        # Inverse of the matrix using the formula (1/determinant) * adjoint matrix
  UpperCAmelCase			:      Tuple			=			array(UpperCamelCase		)
  for i in range(3		):
   for j in range(3		):
    inverse_matrix[i][j] /= d(UpperCamelCase		)

        # Calculate the inverse of the matrix
  return [[float(d(UpperCamelCase		)		) or 0.0 for n in row] for row in inverse_matrix]
 raise ValueError("""Please provide a matrix of size 2x2 or 3x3."""		)
