def read_file_predict(context_id, context_token, file_id, params_id,
scaler_id):
params = mesatee.mesatee_read_file(context_id, context_token, params_id)
scaler = mesatee.mesatee_read_file(context_id, context_token, scaler_id)
params = marshal.loads(params)
scaler = marshal.loads(scaler)
content = mesatee.mesatee_read_file(context_id, context_token, file_id)
featureData = []
labelData = []
lines = content.strip().split('\n')
for line in lines:
line = line.strip().split(',')
featureData.append(line)
feature = np.multiarray.array(featureData, dtype='float64')
return feature, params, scaler
def save_file_for_task_creator(context_id, context_token):
content = "save_file_for_task_creator"
saved_id = mesatee.mesatee_save_file_for_task_creator(
context_id, context_token, content)
content_from_file = mesatee.mesatee_read_file(context_id, context_token,
saved_id)
if content_from_file == content: return True
else: return False
def save_file_for_file_owner(context_id, context_token, file_id):
content = "save_file_for_file_owner"
saved_id = mesatee.mesatee_save_file_for_file_owner(
context_id, context_token, file_id, content)
content_from_file = mesatee.mesatee_read_file(context_id, context_token,
saved_id)
if content_from_file == content: return True
else: return False
def save_file_for_all_participants(context_id, context_token):
content = "save_file_for_all_participants"
saved_id = mesatee.mesatee_save_file_for_all_participants(
context_id, context_token, content)
content_from_file = mesatee.mesatee_read_file(context_id, context_token,
saved_id)
if content_from_file == content: return True
else: return False
def read_file_train(context_id, context_token, file_id):
content = mesatee.mesatee_read_file(context_id, context_token, file_id)
featureData = []
labelData = []
lines = content.strip().split('\n')
for line in lines:
line = line.strip().split(',')
featureData.append(line[:-1])
labelData.append(line[-1])
label = np.multiarray.array(labelData, dtype='float64').reshape(-1, 1)
feature = np.multiarray.array(featureData, dtype='float64')
return feature, label
def read_file(context_id, context_token, file_id):
content = mesatee.mesatee_read_file(context_id, context_token, file_id)
if content == "testdata\n": return True
else: return False
def read_file(context_id, context_token, file_id):
content = mesatee.mesatee_read_file(context_id, context_token, file_id)
if content.startswith("Lorem ipsum dolor sit amet"): return True
else: return False