ValueError in application of heterogeneous inflow in yaw optimization

[zevenlordsa]

I am tending to apply heterogeneous inflow in yaw optimization,but an valueerror occurs "ValueError: The het_map's wind direction dimension not equal to number of wind directions.
Is there any suggestion for dealing this situation? Thank you very much！

import matplotlib.pyplot as plt
import numpy as np
from floris.tools.visualization import visualize_cut_plane
import pandas as pd

from floris.tools import FlorisInterface
from floris.tools.optimization.yaw_optimization.yaw_optimizer_sr import YawOptimizationSR

speed_multipliers = [[1.0, 1.0, 2.0, 2.0, 1.0, 1.0, 2.0, 2.0]]
x_locs = [-300.0, -300.0, -300.0, -300.0, 2600.0, 2600.0, 2600.0, 2600.0]
y_locs = [-300.0, 300.0, -300.0, 300.0, -300.0, 300.0, -300.0, 300.0]
z_locs = [540.0, 540.0, 0.0, 0.0, 540.0, 540.0, 0.0, 0.0]

heterogenous_inflow_config = {
    'speed_multipliers': speed_multipliers,
    'x': x_locs,
    'y': y_locs,
    'z': z_locs,
}
fi = FlorisInterface("gch.yaml") 

fi.reinitialize(
    layout_x=[80, 500, 660, 900, 1500],
    layout_y=[525, 650, 470, 667, 950],
    wind_directions=[270],
    wind_speeds=[8.0],
    heterogenous_inflow_config=heterogenous_inflow_config,
)
print(fi.floris.farm.rotor_diameters)

fi.reinitialize(wind_shear=0.0)

yaw_opt = YawOptimizationSR(fi, exploit_layout_symmetry=False)
df_opt = yaw_opt.optimize()

print("Optimization results:")
print(df_opt)

np.savetxt('data.txt', df_opt, delimiter=',', fmt='%s')

[rafmudaf]

Hi @zevenlordsa Your script runs fine for me using v3.5 and the GCH example input file. Can you verify that the script you posted is also failing for you? Also, please describe the differences between your input file and the one I linked to.

[zevenlordsa]

Oh，I forgot to update the floris in my work station. Problem seems to be solved right now. Thank you very much sir！