Source code for pySimBlocks.blocks.sources.constant

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from __future__ import annotations

import numpy as np
from numpy.typing import ArrayLike
from pySimBlocks.core.block_source import BlockSource


[docs] class Constant(BlockSource): """Constant signal source block. Generates a constant output signal with a fixed value over time. The output does not depend on time or any input signal. Attributes: value: Constant output value as a 2D array. Scalars are normalized to shape (1,1), 1D arrays to column vectors (n,1), and 2D arrays are preserved as-is. """ def __init__( self, name: str, value: ArrayLike = 1.0, sample_time: float | None = None, ): """Initialize a Constant block. Args: name: Unique identifier for this block instance. value: Constant output value. Can be scalar, vector, or matrix. sample_time: Sampling period in seconds, or None to use the global simulation dt. Raises: TypeError: If value is not numeric or array-like. """ super().__init__(name, sample_time) if not isinstance(value, (list, tuple, np.ndarray, float, int)): raise TypeError( f"[{self.name}] Constant 'value' must be numeric or array-like." ) arr = self._to_2d_array("value", value, dtype=float) self.value = arr self.outputs["out"] = arr.copy() # -------------------------------------------------------------------------- # Public methods # --------------------------------------------------------------------------
[docs] def initialize(self, t0: float) -> None: """Set the output to the constant value at t0. Args: t0: Initial simulation time in seconds. """ self.outputs["out"] = self.value.copy()
[docs] def output_update(self, t: float, dt: float) -> None: """Write the constant value to the output port. Args: t: Current simulation time in seconds. dt: Current time step in seconds. """ self.outputs["out"] = self.value.copy()