n2v_manipulate_model

class N2VManipulateModel(TransformModel):
    """
    Pydantic model used to represent N2V manipulation.

    Attributes
    ----------
    name : Literal["N2VManipulate"]
        Name of the transformation.
    roi_size : int
        Size of the masking region, by default 11.
    masked_pixel_percentage : float
        Percentage of masked pixels, by default 0.2.
    strategy : Literal["uniform", "median"]
        Strategy pixel value replacement, by default "uniform".
    struct_mask_axis : Literal["horizontal", "vertical", "none"]
        Axis of the structN2V mask, by default "none".
    struct_mask_span : int
        Span of the structN2V mask, by default 5.
    """

    model_config = ConfigDict(
        validate_assignment=True,
    )

    name: Literal["N2VManipulate"] = "N2VManipulate"
    roi_size: int = Field(default=11, ge=3, le=21)
    masked_pixel_percentage: float = Field(default=0.2, ge=0.05, le=10.0)
    strategy: Literal["uniform", "median"] = Field(default="uniform")
    struct_mask_axis: Literal["horizontal", "vertical", "none"] = Field(default="none")
    struct_mask_span: int = Field(default=5, ge=3, le=15)

    @field_validator("roi_size", "struct_mask_span")
    @classmethod
    def odd_value(cls, v: int) -> int:
        """
        Validate that the value is odd.

        Parameters
        ----------
        v : int
            Value to validate.

        Returns
        -------
        int
            The validated value.

        Raises
        ------
        ValueError
            If the value is even.
        """
        if v % 2 == 0:
            raise ValueError("Size must be an odd number.")
        return v