| |
| import math |
| from pathlib import Path |
|
|
| import floris |
| from floris import FlorisModel |
| import numpy as np |
| import yaml |
|
|
| from eval_utils import ( |
| desktop_root, |
| parse_floats, |
| print_result, |
| read_numeric_csv, |
| require_calls, |
| require_source_tokens, |
| run_submission, |
| ) |
|
|
|
|
| def reference_results(): |
| path = Path(floris.__file__).resolve().with_name("default_inputs.yaml") |
| config = yaml.safe_load(path.read_text(encoding="utf-8")) |
| config["logging"]["console"]["level"] = "ERROR" |
| coordinates = [0.0, 882.0, 1764.0] |
| config["farm"]["layout_x"] = [x for y in coordinates for x in coordinates] |
| config["farm"]["layout_y"] = [y for y in coordinates for x in coordinates] |
| config["farm"]["turbine_type"] = ["nrel_5MW"] * 9 |
| model = FlorisModel(config) |
| directions = np.arange(0.0, 360.0, 30.0) |
| model.set( |
| wind_directions=directions, |
| wind_speeds=np.full(12, 8.0), |
| turbulence_intensities=np.full(12, 0.06), |
| ) |
| model.run() |
| matrix_kw = model.get_turbine_powers() / 1000.0 |
| totals = matrix_kw.sum(axis=1) |
| model.set(wind_directions=[270.0], wind_speeds=[8.0], turbulence_intensities=[0.06]) |
| model.run_no_wake() |
| no_wake_kw = float(model.get_turbine_powers().sum() / 1000.0) |
| summary = [ |
| float(totals.max()), |
| float(totals.min()), |
| float((no_wake_kw - totals.min()) / no_wake_kw * 100.0), |
| ] |
| return matrix_kw, summary |
|
|
|
|
| def check() -> bool: |
| root = desktop_root() |
| tree = run_submission(root, "wind_sector.py", ["power_matrix.csv", "summary.txt"]) |
| require_calls(tree, {"FlorisModel": 1, "set": 2, "run": 1, "run_no_wake": 1, "get_turbine_powers": 2}) |
| require_source_tokens(root / "wind_sector.py", ["30.0", "360.0", "126.0", "7.0", "nrel_5MW"]) |
| actual_matrix = np.asarray(read_numeric_csv(root / "power_matrix.csv", 12, 9), dtype=float) |
| actual_summary = parse_floats(root / "summary.txt", 3) |
| expected_matrix, expected_summary = reference_results() |
| if not np.allclose(actual_matrix, expected_matrix, rtol=5e-3, atol=1e-2): |
| return False |
| if not all( |
| math.isclose(a, e, rel_tol=5e-3, abs_tol=1e-2) |
| for a, e in zip(actual_summary, expected_summary) |
| ): |
| return False |
| totals = actual_matrix.sum(axis=1) |
| return ( |
| math.isclose(actual_summary[0], float(totals.max()), rel_tol=1e-6, abs_tol=1e-3) |
| and math.isclose(actual_summary[1], float(totals.min()), rel_tol=1e-6, abs_tol=1e-3) |
| and 0.0 < actual_summary[2] < 100.0 |
| ) |
|
|
|
|
| if __name__ == "__main__": |
| try: |
| result = check() |
| except Exception: |
| result = False |
| raise SystemExit(print_result(result)) |
|
|
