test_dir = os.getcwd()
# Build targets
test_suite.Build(version_dir, test_dir, targets, fout)
# start the wtachdog timer that will stop the test in case
# something goes wrong with the tests and they deadlock
t = threading.Timer(120, test_suite.ExpireTest, "allkn", fout)
# Start the tests
for directory in bin_dir.values():
allkn1=directory+"/allkn --references_in="+\
dataset_dir+"/random/random_1kx6.txt "+ \
" --k_neighbors=5"
os.system(allkn1 + " 2>&1 > temp")
if (test_suite.EvaluateRun("temp", [], [])) == True:
print >> fout, allkn1, "SUCCESS"
else:
print >> fout, allkn1, "FAILED"
print allkn1, "FAILED"
os.remove("temp")
allkn2=directory+"/allkn --references_in="+ \
dataset_dir+"/random/random_1kx6.txt "+ \
" --k_neighbors=5 "+ \
" --distances_out=distances.txt "+ \
" --indices_out=indices.txt"
os.system(allkn2 + " 2>&1 > temp")
if (test_suite.EvaluateRun("temp", ["distances.txt", "indices.txt"],
[])) == True:
print >> fout, allkn2, "SUCCESS"
for directory in bin_dir.values():
mtsp1=directory+"/mtsp --references_augmented_data_in="+ \
dataset_dir+"/mtsp/augmented.pb " + \
"--queries_augmented_data_in="+ \
dataset_dir+"/climate.com/data/augmented_prediction.pb "+ \
" --svd:svd_rank=2 "+ \
" --svd:algorithm=covariance "+ \
" --timestamp_attribute=3 "+ \
" --references_in="+ dataset_dir=+"/mtsp/training.pb "+ \
" --window=10 "+ \
" --summary=svd "+ \
" --time_lag=3 "+ \
" --run_mode=train "+ \
" --fixed_bw=0:10,10:1,2:2,3:2,3:5,4:1,5:1,6:1"
os.system(mtsp + " 2>&1 > temp")
if (test_suite.EvaluateRun("temp", [], [])) == True:
print >> fout, mtsp1, "SUCCESS"
else:
print >> fout, mtsp1, "FAILED"
print ams1, "FAILED"
os.remove("temp")
if os.path.exists("clusters") == True:
os.remove("clusters")
if os.path.exists("memberships") == True:
os.remove("memberships")
print >> fout, "[mtsp] Test finished"
fout.close()
t.cancel()
# start the wtachdog timer that will stop the test in case
# something goes wrong with the tests and they deadlock
t = threading.Timer(120, test_suite.ExpireTest, "svm", fout)
# Start the tests
for directory in bin_dir.values():
svm1=directory+"/svm --references_in="\
+dataset_dir+"/uci/adult_train_transformed_stratified_6k.txt "\
+ "--bandwidth=2 " \
+ "--regularization=0.5 " \
+ "--bandwidth_overload_factor=1.2 " \
+ "--iterations=1 " \
+ "--support_vectors_out=support_vectors " \
+ "--alphas_out=alphas"
os.system(svm1 + " 2>&1 > temp")
if (test_suite.EvaluateRun("temp", ["support_vectors", "alphas"],
[])) == True:
print >> fout, svm1, "SUCCESS"
else:
print >> fout, svm1, "FAILED"
print svm1, "FAILED"
os.remove("temp")
if os.path.exists("support_vectors") == True:
os.remove("support_vectors")
else:
print svm1, "(support_vectors) FAILED"
if os.path.exists("alphas") == True:
os.remove("alphas")
else:
print svm1, "(alphas) FAILED"
svm2=directory+"/svm --references_in=" \