pyfvcom2.weights_calculator module

class pyfvcom2.weights_calculator.ExponentialWeightsCalculator

Bases: WeightsCalculator

Exponential weights calculator for different grid bands within a nest

calculate_weights(n: int, n_bands: int, grid_band_index: int) → ndarray

Calculate exponential weights based on the grid band index

Parameters:

• n (int) – Number of nodes/elements

• n_bands (int) – Total number of grid bands

• grid_band_index (int) – Index of the grid band

Returns:

Array of weights.

class pyfvcom2.weights_calculator.LinearWeightsCalculator

Bases: WeightsCalculator

Linear weights calculator for different grid bands within a nest

calculate_weights(n: int, n_bands: int, grid_band_index: int) → ndarray

Calculate linear weights based on the grid band index

Parameters:

• n (int) – Number of nodes/elements

• n_bands (int) – Total number of grid bands

• grid_band_index (int) – Index of the grid band

Returns:

Array of weights.

class pyfvcom2.weights_calculator.WeightsCalculator

Bases: object

calculate_weights(n: int, n_bands: int, grid_band_index: int) → ndarray

Calculate inverse weights based on the grid band index

Parameters:

• n (int) – Number of nodes/elements

• n_bands (int) – Total number of grid bands

• grid_band_index (int) – Index of the grid band

Returns:

Array of weights.

pyfvcom2.weights_calculator.get_weights_calculator(calculation_method: str) → WeightsCalculator

Factory function to get the appropriate WeightsCalculator instance.

Parameters:

calculation_method (str) – The method of weight calculation (“linear”, “inverse”, “exponential”).

Returns:

An instance of the corresponding WeightsCalculator subclass.

Return type:

WeightsCalculator

Raises:

ValueError – If an unknown calculation method is provided.