def test_readme_cmd(self): print("Running ", str(self.id()).split('.')[2]) parser = make_parser() cmdlist = _cmd_list() cmdlist.append("--onlyProcessing") # only-processing means something else has to make the data!!! (no call to C++) args = parser.parse_args(cmdlist) env = Cell2FireC(args) # see main.py env.stats() # Check if the result generated by the run matches the baseline files equal = True with open(result_Forest08) as result_file: with open(baseline_Forest08) as baseline_file: for line1, line2 in zip(result_file, baseline_file): if not line1 == line2: equal = False print( "In File Grids1/ForestGrid08.csv the result is wrong" ) imgfire1 = Image.open(result_Fire09) imgfire2 = Image.open(baseline_Fire09) imgprop1 = Image.open(result_Propagation) imgprop2 = Image.open(baseline_Propagation) diffFire = ImageChops.difference(imgfire1, imgfire2) diffProp = ImageChops.difference(imgprop1, imgprop2) """
def test_readme_cmd(self): print("Running ", str(self.id()).split('.')[2]) parser = make_parser() cmdlist = _readme_list() cmdlist.append("--onlyProcessing") # only-processing means something else has to make the data!!! (no call to C++) args = parser.parse_args(cmdlist) env = Cell2FireC(args) # see main.py env.stats() # Testing Fraction0.2 results_path = os.path.abspath( os.path.join("..", "results", "Sub40x40", "Heuristic", "Max_Utility_Adj", "Fraction0.2")) csv_path = os.path.join(results_path, "Stats", "FinalStats.csv") df = pd.read_csv(csv_path) # Burned cells self.assertAlmostEqual(df['Burned'][0], 15), "TEST ERROR" self.assertAlmostEqual(df['Burned'][6], 397), "TEST ERROR" self.assertAlmostEqual(df['Burned'][9], 64), "TEST ERROR" # Harvest cells self.assertAlmostEqual(df['Harvested'][1], 288), "TEST ERROR" self.assertAlmostEqual(df['Harvested'][5], 288), "TEST ERROR" self.assertAlmostEqual(df['Harvested'][8], 288), "TEST ERROR"
def test_readme_cmd(self): baselist = ["--input-instance-folder", "../data/Sub40x40/", "--output-folder", "../results/Sub40x40", "--ignitions", "--sim-years", "1", "--nsims", "5", "--finalGrid", "--weather", "rows", "--nweathers", "1", "--Fire-Period-Length", "1.0", "--output-messages", "--ROS-CV", "0.0", "--seed", "123", "--stats", "--allPlots", "--IgnitionRad", "5", "--grids", "--combine"] parser = make_parser() args = parser.parse_args(baselist) env = Cell2FireC(args) env.stats() # Postprocessing: Plots Stats if args.stats: print("------ Generating Statistics --------") env.stats() DataGenerator.GenDataFile(env.args.InFolder)
def test_readme_cmd(self): print("Running ", str(self.id()).split('.')[2]) parser = make_parser() cmdlist = _readme_list() cmdlist.append("--onlyProcessing") # only-processing means something else has to make the data!!! (no call to C++) args = parser.parse_args(cmdlist) env = Cell2FireC(args) # see main.py env.stats()
def test_readme_cmd(self): print("Running ", str(self.id()).split('.')[2]) parser = make_parser() cmdlist = _readme_list() cmdlist.append("--onlyProcessing") # only-processing means something else has to make the data!!! (no call to C++) args = parser.parse_args(cmdlist) env = Cell2FireC(args) # see main.py env.stats() csv_path = os.path.join(data_path, "..", "results", "dogrib_n100cv05", "Stats", "HourlySummaryAVG.csv") df = pd.read_csv(csv_path) self.assertAlmostEqual(df['AVGNonBurned'][6], 78091.0), "TEST ERROR" self.assertAlmostEqual(df['AVGNonBurned'][7], 77533.333), "TEST ERROR"
def test_readme_cmd(self): print("Running ", str(self.id()).split('.')[2]) parser = make_parser() cmdlist = _readme_list() cmdlist.append("--onlyProcessing") # only-processing means something else has to make the data!!! (no call to C++) args = parser.parse_args(cmdlist) env = Cell2FireC(args) # see main.py env.stats() csv_path = os.path.join(data_path, "..", "results", "Sub40x40", "Messages", "MessagesFile01.csv") df = pd.read_csv(csv_path, names=["node1", "node2", "time", "ros"]) self.assertAlmostEqual(df['node1'][10], 935, 0), "TEST ERROR" self.assertAlmostEqual(df['node2'][10], 896, 0), "TEST ERROR" self.assertAlmostEqual(df['time'][10], 139, 0), "TEST ERROR" self.assertAlmostEqual(df['node2'][10], 14.1367, 2), "TEST ERROR"
def test_readme_cmd(self): print("Running ", str(self.id()).split('.')[2]) parser = make_parser() cmdlist = _cmd_list() cmdlist.append("--onlyProcessing") # only-processing means something else has to make the data!!! (no call to C++) args = parser.parse_args(cmdlist) env = Cell2FireC(args) # see main.py env.stats() # Check if the result generated by the run matches the baseline files equal = True with open(result_path) as result_file: with open(baseline_path) as baseline_file: for line1, line2 in zip(result_file, baseline_file): if not line1 == line2: equal = False print( "In File Grids1/ForestGrid08.csv the result is wrong" ) self.assertTrue(equal)