from typing import ClassVar, TypeVar
from numpy.random import RandomState
from scipy.special import expit as expit
from numpy import ndarray
from ..utils.extmath import (
    safe_sparse_dot as safe_sparse_dot,
    log_logistic as log_logistic,
)
from ..utils._param_validation import Interval as Interval
from numbers import Integral as Integral, Real as Real
from ..base import BaseEstimator, TransformerMixin, ClassNamePrefixFeaturesOutMixin
from .._typing import Int, Float, MatrixLike, ArrayLike
from ..utils import (
    check_random_state as check_random_state,
    gen_even_slices as gen_even_slices,
)
from ..utils.validation import check_is_fitted as check_is_fitted

BernoulliRBM_Self = TypeVar("BernoulliRBM_Self", bound="BernoulliRBM")


# Authors: Yann N. Dauphin <dauphiya@iro.umontreal.ca>
#          Vlad Niculae
#          Gabriel Synnaeve
#          Lars Buitinck
# License: BSD 3 clause

import time

import numpy as np
import scipy.sparse as sp


class BernoulliRBM(ClassNamePrefixFeaturesOutMixin, TransformerMixin, BaseEstimator):
    feature_names_in_: ndarray = ...
    n_features_in_: int = ...
    h_samples_: ArrayLike = ...
    components_: ArrayLike = ...
    intercept_visible_: ArrayLike = ...
    intercept_hidden_: ArrayLike = ...

    _parameter_constraints: ClassVar[dict] = ...

    def __init__(
        self,
        n_components: Int = 256,
        *,
        learning_rate: Float = 0.1,
        batch_size: Int = 10,
        n_iter: Int = 10,
        verbose: Int = 0,
        random_state: RandomState | None | Int = None,
    ) -> None:
        ...

    def transform(self, X: MatrixLike | ArrayLike) -> ndarray:
        ...

    def gibbs(self, v: ArrayLike) -> ndarray:
        ...

    def partial_fit(
        self: BernoulliRBM_Self, X: ArrayLike, y: None | MatrixLike | ArrayLike = None
    ) -> BernoulliRBM_Self:
        ...

    def score_samples(self, X: MatrixLike | ArrayLike) -> ndarray:
        ...

    def fit(
        self: BernoulliRBM_Self,
        X: MatrixLike | ArrayLike,
        y: None | MatrixLike | ArrayLike = None,
    ) -> BernoulliRBM_Self:
        ...
