# Import necessary libraries
from autogonai.development.base import BaseBlock, gen_params


# Define class AutoImageClassifierInit
class AutoImageClassifierInit(BaseBlock):
    def set_params(self, hyp_params: dict = None):
        """
        Sets parameters for AutoImageClassifierInit class.

        Args:
            hyp_params (dict, optional): Hyperparameters for the classifier. Defaults to None.

        Returns:
            dict: Parameters dictionary.
        """
        self.params = gen_params(locals())
        return self.params


# Define class AutoImageClassifierTrain
class AutoImageClassifierTrain(BaseBlock):
    def set_params(self, model_name: str = None, hyp_params: dict = None):
        """
        Sets parameters for AutoImageClassifierTrain class.

        Args:
            model_name (str, optional): Name of the classifier model. Defaults to None.
            hyp_params (dict, optional): Hyperparameters for the classifier. Defaults to None.

        Returns:
            dict: Parameters dictionary.
        """
        self.params = gen_params(locals())
        return self.params


# Define class AutoTextClassifierInit
class AutoTextClassifierInit(BaseBlock):
    def set_params(self, hyp_params: dict = None):
        """
        Sets parameters for AutoTextClassifierInit class.

        Args:
            hyp_params (dict, optional): Hyperparameters for the classifier. Defaults to None.

        Returns:
            dict: Parameters dictionary.
        """
        self.params = gen_params(locals())
        return self.params


# Define class AutoTextClassifierTrain
class AutoTextClassifierTrain(BaseBlock):
    def set_params(self, model_name: str = None, hyp_params: dict = None):
        """
        Sets parameters for AutoTextClassifierTrain class.

        Args:
            model_name (str, optional): Name of the classifier model. Defaults to None.
            hyp_params (dict, optional): Hyperparameters for the classifier. Defaults to None.

        Returns:
            dict: Parameters dictionary.
        """
        self.params = gen_params(locals())
        return self.params


# Define class AutoStructuredDataClassifierInit
class AutoStructuredDataClassifierInit(BaseBlock):
    def set_params(self, hyp_params: dict = None):
        """
        Sets parameters for AutoStructuredDataClassifierInit class.

        Args:
            hyp_params (dict, optional): Hyperparameters for the classifier. Defaults to None.

        Returns:
            dict: Parameters dictionary.
        """
        self.params = gen_params(locals())
        return self.params


# Define class AutoStructuredDataClassifierTrain
class AutoStructuredDataClassifierTrain(BaseBlock):
    def set_params(self, model_name: str = None, hyp_params: dict = None):
        """
        Sets parameters for AutoStructuredDataClassifierTrain class.

        Args:
            model_name (str, optional): Name of the classifier model. Defaults to None.
            hyp_params (dict, optional): Hyperparameters for the classifier. Defaults to None.

        Returns:
            dict: Parameters dictionary.
        """
        self.params = gen_params(locals())
        return self.params


# Define class AutoImageRegressorInit
class AutoImageRegressorInit(BaseBlock):
    def set_params(self, hyp_params: dict = None):
        """
        Sets parameters for AutoImageRegressorInit class.

        Args:
            hyp_params (dict, optional): Hyperparameters for the regressor. Defaults to None.

        Returns:
            dict: Parameters dictionary.
        """
        self.params = gen_params(locals())
        return self.params


# Define class AutoImageRegressorTrain
class AutoImageRegressorTrain(BaseBlock):
    def set_params(self, model_name: str = None, hyp_params: dict = None):
        """
        Sets parameters for AutoImageRegressorTrain class.

        Args:
            model_name (str, optional): Name of the regressor model. Defaults to None.
            hyp_params (dict, optional): Hyperparameters for the regressor. Defaults to None.

        Returns:
            dict: Parameters dictionary.
        """
        self.params = gen_params(locals())
        return self.params


# Define class AutoTextRegressorInit
class AutoTextRegressorInit(BaseBlock):
    def set_params(self, hyp_params: dict = None):
        """
        Sets parameters for AutoTextRegressorInit class.

        Args:
            hyp_params (dict, optional): Hyperparameters for the regressor. Defaults to None.

        Returns:
            dict: Parameters dictionary.
        """
        self.params = gen_params(locals())
        return self.params


# Define class AutoTextRegressorTrain
class AutoTextRegressorTrain(BaseBlock):
    def set_params(self, model_name: str = None, hyp_params: dict = None):
        """
        Sets parameters for AutoTextRegressorTrain class.

        Args:
            model_name (str, optional): Name of the regressor model. Defaults to None.
            hyp_params (dict, optional): Hyperparameters for the regressor. Defaults to None.

        Returns:
            dict: Parameters dictionary.
        """
        self.params = gen_params(locals())
        return self.params


# Define class AutoStructuredDataRegressorInit
class AutoStructuredDataRegressorInit(BaseBlock):
    def set_params(self, hyp_params: dict = None):
        """
        Sets parameters for AutoStructuredDataRegressorInit class.

        Args:
            hyp_params (dict, optional): Hyperparameters for the regressor. Defaults to None.

        Returns:
            dict: Parameters dictionary.
        """
        self.params = gen_params(locals())
        return self.params


# Define class AutoStructuredDataRegressorTrain
class AutoStructuredDataRegressorTrain(BaseBlock):
    def set_params(self, model_name: str = None, hyp_params: dict = None):
        """
        Sets parameters for AutoStructuredDataRegressorTrain class.

        Args:
            model_name (str, optional): Name of the regressor model. Defaults to None.
            hyp_params (dict, optional): Hyperparameters for the regressor. Defaults to None.

        Returns:
            dict: Parameters dictionary.
        """
        self.params = gen_params(locals())
        return self.params
