def run(self, options):
config = Config()
config.keep_results = options['keep_results']
config.create_diffs = options['create_diffs']
config.update_refs = options['update_refs']
t = Timer()
docs = options['tests']
docs_dir = options['docs_dir']
if len(docs) == 1:
if os.path.isdir(docs[0]):
if docs_dir is None:
docs_dir = docs[0]
if docs_dir == docs[0]:
docs = []
else:
if docs_dir is None:
docs_dir = os.path.dirname(docs[0])
else:
if docs_dir is None:
docs_dir = os.path.commonprefix(docs).rpartition(os.path.sep)[0]
tests = TestRun(docs_dir, options['refs_dir'], options['out_dir'])
status = tests.run_tests(docs)
tests.summary()
get_printer().printout_ln("Tests run in %s" % (t.elapsed_str()))
return status
def run(self):
bisect = GitBisect(self.config.src_dir)
# TODO: save revision in .md5 files and get the good
# revision from refs when not provided by command line
try:
bisect.start(self.config.bad, self.config.good)
except:
print("Couldn't start git bisect")
return
finished = False
while not finished:
test_runner = TestRun(os.path.dirname(self._test), self._refsdir,
self._outdir)
try:
self._builder.build()
except:
print(
"Impossible to find regression, build is broken in revision: %s"
% (self.__get_current_revision()))
break
test_runner.run_test(os.path.basename(self._test))
if test_runner._n_passed == 0:
finished = bisect.bad()
else:
finished = bisect.good()
bisect.reset()
def run(self, options):
config = Config()
config.keep_results = options['keep_results']
config.create_diffs = options['create_diffs']
t = Timer()
doc = options['tests']
if os.path.isdir(doc):
docs_dir = doc
else:
docs_dir = os.path.dirname(doc)
tests = TestRun(docs_dir, options['refs_dir'], options['out_dir'])
if doc == docs_dir:
tests.run_tests()
else:
tests.run_test(os.path.basename(doc))
tests.summary()
print("Tests run in %s" % (t.elapsed_str()))
def __init__(self,
files,
listofreaders=[],
testsetname='',
solufilename=''):
self.files = files[0:len(files)]
assert self.__listelementsdiffer(self.files)
self.testruns = []
self.readers = []
self.datakeys = []
for filename in files:
testrun = TestRun(filename, solufilename, testsetname)
self.testruns.append(testrun)
testrun.settings = filename.split('.')[-2]
self.datacollector = DataCollector()
self.datacollector.registerListOfReaders(listofreaders)
if solufilename != '':
# print 'solufiledatacollector initialized for solufilename:', solufilename
self.solufiledatacollector = SoluFileDataCollector()
self.readers = listofreaders
for reader in self.readers:
self.addDataKey(reader.datakey)
results.append(
testrun.run(epoch_num=EPOCH_NUM,
batch_size=BATCH_SIZE,
activation=activation,
learning_rate=LEARNING_RATE,
hidden_layer_size=HIDDEN_LAYER_SIZE,
sigma=SIGMA,
mu=MU,
run_num=RUN_NUMBER))
return results
if __name__ == '__main__':
file = load_file("mnist.pkl")
train, valid, test = file
test_run = TestRun(file)
batch_results = test_batch_size(test_run, [2, 50, 250, 5000, 10000, 50000])
batch_output = open('batch.pkl', 'wb')
pkl.dump(batch_results, batch_output)
batch_output.close()
weight_results = test_weights_range(test_run, [0.1, 0.5, 1, 2, 5, 10])
weight_output = open('weight.pkl', 'wb')
pkl.dump(weight_results, weight_output)
weight_output.close()
layers_results = test_hidden_layer_size(test_run,
[5, 25, 50, 100, 200, 1000])
layers_output = open('layers.pkl', 'wb')
pkl.dump(layers_results, layers_output)
import commands import subprocess import string # add the dir containing the testharness script to the library search path calling_dir = os.path.dirname(sys.argv[0]) sys.path.append(calling_dir) from TestRun import TestRun from TestSuite import TestSuite from TestCase import TestCase from EnvVar import EnvVar ##### # GLOBAL VARS ##### debug = 0 test_run = TestRun() is_running_on_win = 0 win_file_prefix = "C:/cygwin" final_log_location = "" sleep_interval_secs = 1 default_output_dir = "/tmp/testharness/output" default_summary_file = "testharness_summary.out" default_test_suite_dir = calling_dir + "/../../../tests" testharness_front_end_host = "www.ctbg.acer.com" harness_return_code = 0 kill_signal = 9 print_alive_msg = 0 alive_msg_interval = 30 expected_statuses = ['PASS', 'EXPECTED_TO_FAIL'] #####
# Import Automation
from TestRun import ConfigRun
from TestRun import TestRun
# Start Test
run = TestRun()
url = 'https://m.tokopedia.com/'
browser = 'Firefox'
# Configure Browser
run.config_browser('Firefox', url)
# Open m.tokopedia.com
auto.browser.open_url(url)
koplakmenu = browser.get_element('//koplak')
categorymenu = auto.browser.get_element(
'//div[@class="pdp-shop__action-holder"]//span[contains(@class, "favorite__btn-fav")]'
)
categorymenu.click()
run.execute_step('pause', )
# Close Browser
browser.close_browser()
