wolfgpu.cli

Module Contents

wolfgpu.cli.VERSION

wolfgpu.cli.DATA_DIR

wolfgpu.cli.WOLF_CLI_EXE

wolfgpu.cli.BENCHMARK_AGGREGATED_RESULT_FILE

wolfgpu.cli.BIG_TEST

wolfgpu.cli.POWER_MODE

wolfgpu.cli.LOGOS = [' __    __      _  __   ___   ___\n/ / /\\ \\ \\___ | |/ _| / _ \\ / _ \\/\\ /\\\n\\ \\/  \\/ /...

wolfgpu.cli.write_wolf_array(wa, generic_name: pathlib.Path)

class wolfgpu.cli.Scenario

Bases: enum.Enum

Generic enumeration.

Derive from this class to define new enumerations.

TWO_ROOMS = 1

SWIMMING_POOL_WITH_HOLE = 2

TWO_SMALL_ROOMS = 3

LINEAR = 4

wolfgpu.cli.bbox2(img)

wolfgpu.cli.bounding_polygon_xy(wa: wolfhece.wolf_array.WolfArray)

wolfgpu.cli.mask_border(wa: wolfhece.wolf_array.WolfArray)

Set a new mask applying only to a one cell around the matrix. It is usefule because SUXY is not smart enough to handle borders which are on the very border of matrices.

wolfgpu.cli.run_wolf_cli(destination_dir: pathlib.Path)

wolfgpu.cli.force_cli_params_in_wolf_model(cli_args: argparse.Namespace, m: wolfhece.mesh2d.wolf2dprev.prev_sim2D)

wolfgpu.cli.force_params_in_gpu(cli_args: argparse.Namespace, gpu: wolfgpu.glsimulation.GLSimulation)

wolfgpu.cli.print_sim_params(sim: wolfgpu.glsimulation.GLSimulation, runner: wolfgpu.SimulationRunner.SimulationRunner, manning: numpy.array, active: numpy.array, h: numpy.array)

wolfgpu.cli.benchmark(destination_dir, cli_args)

wolfgpu.cli.main_func()