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)
