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TestCase.py
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TestCase.py
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"""
Python class for running regression test cases for MULTI-F
Rick Fenrich 8/29/17
"""
import time, os, shutil, subprocess, datetime, sys
import numpy as np
class TestCase:
def __init__(self,name):
self.name = name;
self.description = '';
self.log_file = os.path.join(os.getcwd(),'regression.out');
# Configuration and input file information
self.multif_dir = os.path.dirname(os.path.abspath(__file__));
self.cfg_dir = os.getcwd();
self.working_dir = os.getcwd();
self.cfg_file = 'general.cfg';
self.input_file = 'general.in';
self.dependencies = []; # list of strings giving other required MULTI-F files
self.fidelity = 0;
self.ntasks = 1; # number of concurrent tasks (i.e. model runs)
# only used when finite difference gradients are used
self.cpus_per_task = 1; # number of cores to be used for each model run
# Termination information
self.timeout = 15*60; # s
self.fail_tol = 1e-2; # relative percent difference for determining failure
self.diff_tol = 1e-6; # relative percent difference for determing diff
# Comparison information
self.compare_file = 'results_general.out';
# return -1 for failure tolerance exceeded
# return -2 for difference tolerance exceeded
# return -3 for wrong number of results included
# return -4 for no results file
def compare_responses(self):
return_flag = 0;
f = open(self.log_file,'a');
f.write('Response file 1: %s\n' % os.path.join(self.multif_dir,self.compare_file));
f.write('Response file 2: %s\n' % os.path.join(os.getcwd(),'results.out'));
f.close();
# Obtain data from example results file
r1 = open(os.path.join(self.multif_dir,self.compare_file),'r');
val1 = [];
grad1 = [];
val_name = [];
for line in r1:
linelist = line.split();
if( len(linelist) > 2 ): # gradients are recorded
grad1.append([float(i) for i in linelist[1:-1]]);
else: # values are recorded
val1.append(float(linelist[0]));
if( len(linelist) > 1 ):
val_name.append(linelist[1]);
else:
val_name.append('');
r1.close();
# Obtain data from results file just obtained
if( not os.path.isfile('results.out') ):
return -4;
r2 = open('results.out','r');
val2 = [];
grad2 = [];
for line in r2:
linelist = line.split();
if( len(linelist) > 2 ): # gradients are recorded
grad2.append([float(i) for i in linelist[1:-1]]);
else: # values are recorded
val2.append(float(linelist[0]));
r2.close();
# Find differences in response values
valDiff = [];
if( len(val1) != len(val2) ):
print 'Obtained results.out file does not contain same number of entries as example results file.';
return -3;
for i in range(len(val1)):
if( val1[i] != 0. ):
valDiff.append((val2[i]-val1[i])/val1[i]);
else:
valDiff.append((val2[i]-val1[i]));
# Find differences in response gradients
gradDiff = [];
if( len(grad1) != len(grad2) ):
print 'Obtained results.out file does not contain same number of gradient entries as example results file.';
return -3;
for i in range(len(grad1)):
if len(grad1[i]) != len(grad2[i]):
print 'Obtained results.out file does not contain same number gradient variables as example results file.';
return -3;
for i in range(len(grad1)):
for j in range(len(grad1[i])):
if( grad1[i][j] != 0. ):
gradDiff.append((grad2[i][j]-grad1[i][j])/grad1[i][j]);
else:
gradDiff.append((grad2[i][j]-grad1[i][j]));
# Check for exceedance
maxValDiff = np.max(np.abs(np.array(valDiff)));
if( maxValDiff > self.diff_tol or np.isnan(maxValDiff) or np.isinf(maxValDiff) ):
if( maxValDiff > self.fail_tol ):
return_flag = -1;
else:
return_flag = -2;
maxValDiffLoc = np.argmax(np.abs(np.array(valDiff)));
f = open(self.log_file,'a');
f.write('Max relative difference in response value is %f at %i\n' % (maxValDiff, maxValDiffLoc));
f.write('{0:6} {1:4} {2:25} {3:25} {4}\n'.format('Line #', '', 'Expected', 'Obtained', 'Name'));
for i in range(len(valDiff)):
if( np.max(np.abs(valDiff[i])) > self.fail_tol or np.isnan(valDiff[i]) or np.isinf(valDiff[i]) ):
f.write('{0:6} {1:4} {2:25.16f} {3:25.16f} {4}\n'.format(i, '*', val1[i], val2[i], val_name[i]));
elif( np.max(np.abs(valDiff[i])) > self.diff_tol ):
f.write('{0:6} {1:4} {2:25.16f} {3:25.16f} {4}\n'.format(i, 'DIFF', val1[i], val2[i], val_name[i]));
else:
f.write('{0:6} {1:4} {2:25.16f} {3:25.16f} {4}\n'.format(i, '', val1[i], val2[i], val_name[i]));
f.close();
if( len(gradDiff) > 0 ):
maxGradDiff = np.max(np.abs(np.array(gradDiff)))
if( maxGradDiff > self.diff_tol or np.isnan(maxGradDiff) or np.isinf(maxValDiff) ):
if( maxGradDiff > self.fail_tol ):
return_flag = -1;
else:
return_flag = -2;
f = open(self.log_file,'a');
f.write('Max relative difference in gradient value is %f\n' % maxGradDiff);
f.write('{0:3} {1:3} {2:4} {3:25} {4:25}\n'.format('Row', 'Col', '', 'Expected', 'Obtained'));
k = 0;
for i in range(len(grad1)):
for j in range(len(grad1[i])):
if( np.max(np.abs(gradDiff[k])) > self.fail_tol or np.isnan(gradDiff[k]) or np.isinf(gradDiff[k]) ):
f.write('{0:3} {1:3} {2:4} {3:25.16f} {4:25.16f}\n'.format(i+len(valDiff), j, '*', grad1[i][j], grad2[i][j]));
elif( np.max(np.abs(gradDiff[k])) > self.diff_tol ):
f.write('{0:3} {1:3} {2:4} {3:25.16f} {4:25.16f}\n'.format(i+len(valDiff), j, 'DIFF', grad1[i][j], grad2[i][j]));
else:
f.write('{0:3} {1:3} {2:4} {3:25.16f} {4:25.16f}\n'.format(i+len(valDiff), j, '', grad1[i][j], grad2[i][j]));
k = k + 1;
f.close();
return return_flag;
def run_test(self):
passed = 1;
timed_out = 0;
# Go to MULTI-F directory and run all tests from here
#os.chdir(self.multif_dir);
# Create directory to run test in
if not os.path.isdir('local'):
os.mkdir('local');
os.chdir('local');
else:
os.chdir('local');
if os.path.isdir(self.name):
shutil.rmtree(self.name);
os.mkdir(self.name);
os.chdir(self.name);
workdir = os.getcwd();
# Write preliminary information to log file
f = open(self.log_file,'a');
f.write('======================= Test: %s =======================\n' % self.name);
f.write('%s\n' % self.description);
f.write('Directory: %s\n\n' % os.getcwd());
f.close();
# Copy all necessary files to directory
shutil.copyfile(os.path.join(self.multif_dir,self.cfg_dir,self.cfg_file),self.cfg_file);
shutil.copyfile(os.path.join(self.multif_dir,self.cfg_dir,self.input_file),self.input_file);
shutil.copyfile(os.path.join(self.multif_dir,'runModel.py'),'runModel.py');
for f in self.dependencies:
shutil.copyfile(os.path.join(self.multif_dir,self.cfg_dir,f),f);
# Build shell command to run MULTI-F
command = ['python','%s/runModel.py'%self.multif_dir,'-f',self.cfg_file,'-l',str(self.fidelity),'-n',str(self.ntasks),'-c',str(self.cpus_per_task)];
# Write command line in file
f = open(self.log_file,'a');
f.write('Command line: %s\n' % ' '.join(command));
f.close();
# Run MULTI-F
start = datetime.datetime.now();
# process = subprocess.Popen(command, shell = True); # start MULTI-F
try:
so = open('stdout.txt','w');
se = open('stderr.txt','w');
sys.stdout.write('\nRunning test case %s\n' % self.name);
sys.stdout.write('Working directory: %s\n' % os.getcwd());
sys.stdout.write('Comparison data file: %s\n' % os.path.join(self.multif_dir,self.compare_file));
subprocess.call(command,stdout=so,stderr=se);
so.close();
se.close();
except:
print 'Error encountered during execution';
f = open(self.log_file,'a');
f.write('Test failed -- MULTI-F error encountered\n');
f.write('===================== End Test: %s =====================\n\n' % self.name);
f.close();
# Return to MULTI-F directory
#os.chdir(self.multif_dir);
os.chdir(self.working_dir);
return 0;
# IMPLEMENT PROCESS KILL HERE FOR TIMEOUT
end = datetime.datetime.now();
running_time = (end - start).seconds;
# # Check for timeout
# while process.poll() is None:
# time.sleep(0.1);
# now = datetime.datetime.now();
# running_time = (now - start).seconds;
# if running_time > self.timeout:
# try:
# process.kill();
# os.system('killall %s' % 'python');
# except AttributeError:
# pass;
# timed_out = 1;
# passed = 0;
# Examine and compare output
return_flag = self.compare_responses();
if( return_flag == -1 ):
print 'Test failed -- tolerance exceeded (%e)' % self.fail_tol;
passed = 0;
elif( return_flag == -2 ):
print 'Test diffed -- tolerance exceeded (%e)' % self.diff_tol;
f = open(self.log_file,'a');
f.write('Test diffed\n');
f.close();
passed = 2;
elif( return_flag == -3 ):
print 'Test failed -- wrong number of results in results file'
f = open(self.log_file,'a');
f.write('Test failed -- wrong number of results in results file\n');
f.close();
passed = 0;
elif( return_flag == -4 ):
print 'Test failed -- no results file'
f = open(self.log_file,'a');
f.write('Test failed -- no results file\n');
f.close();
passed = 0;
elif( timed_out ):
print 'Test failed -- timed out';
f = open(self.log_file,'a');
f.write('Test failed -- timed out\n');
f.close();
passed = 0;
else:
print 'Test passed';
f = open(self.log_file,'a');
f.write('Test passed\n');
f.close();
# Closing remarks
f = open(self.log_file,'a');
f.write('Test duration: %.2f min\n' % (running_time/60.) );
f.write('===================== End Test: %s =====================\n\n' % self.name);
f.close();
# Return to MULTI-F directory
#os.chdir(self.multif_dir);
os.chdir(self.working_dir);
return passed;