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# %%
from scipy.interpolate import interp1d
from sklearn.base import BaseEstimator, RegressorMixin, clone
from sklearn.utils.validation import check_is_fitted
from sklearn.ensemble import RandomForestClassifier
from sklearn.preprocessing import KBinsDiscretizer
from sklearn.utils.validation import check_consistent_length
from sklearn.utils import check_random_state
import numpy as np

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# %%
from sklearn import set_config
from sklearn.base import clone

set_config(array_api_dispatch=True)

# %%
try:
    import torch
except ModuleNotFoundError:

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