if not driver:
raise Error(
'Failed to create driver instance with flag %s' % FLAGS.browser_driver)
try:
driver.implicitly_wait(IMPLICIT_WAIT)
driver.get(LOGIN_PAGE_URL)
user_id_input = driver.find_element_by_id('input-email')
user_id_input.send_keys(USER_ID)
contrasena = driver.find_element_by_id('password-password')
contrasena.send_keys(CONTRASENA)
sign_in_boton = driver.find_element_by_id('create-account-btn')
sign_in_boton.send_keys('\n')
j4u_link = get_j4u_link(driver)
if j4u_link:
load_personalized(driver)
time.sleep(IMPLICIT_WAIT)
log.info('Sleeping %d seconds...', IMPLICIT_WAIT)
load_coupons(driver)
else:
raise Error('Just4U link was never found.')
finally:
driver.close()
if __name__ == '__main__':
app.run()
def main(_):
gin.parse_config_files_and_bindings(FLAGS.gin_config, FLAGS.gin_params)
print('********')
print(FLAGS.mode)
print(FLAGS.gin_config)
print(FLAGS.gin_params)
env = active_vision_dataset_env.ActiveVisionDatasetEnv(modality_types=[
task_env.ModalityTypes.IMAGE, task_env.ModalityTypes.
SEMANTIC_SEGMENTATION, task_env.ModalityTypes.OBJECT_DETECTION,
task_env.ModalityTypes.DEPTH, task_env.ModalityTypes.DISTANCE
])
if FLAGS.mode == BENCHMARK_MODE:
benchmark(env, env.possible_targets)
elif FLAGS.mode == GRAPH_MODE:
for loc in env.worlds:
env.check_scene_graph(loc, 'fridge')
elif FLAGS.mode == HUMAN_MODE:
human(env, env.possible_targets)
elif FLAGS.mode == VIS_MODE:
visualize_random_step_sequence(env)
elif FLAGS.mode == EVAL_MODE:
evaluate_folder(env, FLAGS.eval_folder)
if __name__ == '__main__':
app.run(main)
print defered_lines[0].replace(old_short_cdata,
new_short_cdata),
for index in range(1, len(defered_lines)):
print defered_lines[index],
print line,
defered_lines = []
in_defered_mode = False
else:
defered_lines.append(line)
def main(argv):
if not (len(argv) == 1 and FLAGS.long and FLAGS.short
and FLAGS.long.startswith(FLAGS.short)):
sys.stderr.write('Wrong Usage of the script %s \n\n' % argv[0])
sys.stderr.write(__doc__)
sys.exit(-1)
script_path = os.path.abspath(argv[0])
common_prefix = os.path.dirname(os.path.dirname(script_path))
fusion_version_file = '%s/%s' % (common_prefix, 'src/fusion_version.txt')
(old_long,
old_short) = FindUpdateCurrentVersion(fusion_version_file, FLAGS.long,
FLAGS.short,
datetime.datetime.now().year)
ChangeVersionInInstallerFiles(common_prefix, old_long, FLAGS.long,
old_short, FLAGS.short)
if __name__ == '__main__':
app.run()
def main(_):
gin.parse_config_files_and_bindings(FLAGS.gin_config, FLAGS.gin_params)
print('********')
print(FLAGS.mode)
print(FLAGS.gin_config)
print(FLAGS.gin_params)
env = active_vision_dataset_env.ActiveVisionDatasetEnv(modality_types=[
task_env.ModalityTypes.IMAGE,
task_env.ModalityTypes.SEMANTIC_SEGMENTATION,
task_env.ModalityTypes.OBJECT_DETECTION, task_env.ModalityTypes.DEPTH,
task_env.ModalityTypes.DISTANCE
])
if FLAGS.mode == BENCHMARK_MODE:
benchmark(env, env.possible_targets)
elif FLAGS.mode == GRAPH_MODE:
for loc in env.worlds:
env.check_scene_graph(loc, 'fridge')
elif FLAGS.mode == HUMAN_MODE:
human(env, env.possible_targets)
elif FLAGS.mode == VIS_MODE:
visualize_random_step_sequence(env)
elif FLAGS.mode == EVAL_MODE:
evaluate_folder(env, FLAGS.eval_folder)
if __name__ == '__main__':
app.run(main)
