code: def __init__(
      self,
      n_components=2,
      n_iter=10,
      copy=True,
      check_input=True,
      random_state=None,
      engine="sklearn",
  ):
      self.n_components = n_components
      self.n_iter = n_iter
      self.copy = copy
      self.check_input = check_input
      self.random_state = random_state
      self.engine = engine
  
imports: from __future__ import annotations
  import functools
  import altair
  import numpy
  import pandas
  from scipy import sparse
  from sklearn.utils import check_array
  from prince import svd, utils
label_desc: Use image node_id 1 to create a new CA object from inherited base classes: utils with example: obj = CA(n_components, n_iter, copy, check_input, random_state, engine)