def __init__(self):
logging.info(pk.getKhiopsInfo())
self.this_file_dir = os.path.dirname(os.path.realpath(__file__))
# path mgmt
# use timestamp of each exec in paths
self.fh = FileHelper()
self.dictionary_file = os.path.join(self.this_file_dir, "dic",
"series.kdic")
self.classif_res = os.path.join(self.this_file_dir, "res",
"khiops_res", "classif")
self.coclus_res = os.path.join(self.this_file_dir, "res", "khiops_res",
"coclus")
self.pred_res = os.path.join(self.this_file_dir, "res", "khiops_res",
"pred_res")
self.fh.ensure_dirs_exist([
self.dictionary_file, self.classif_res, self.coclus_res,
self.pred_res
])
self.ccr = CoclusteringResults()
self.utils = MyUtils()
logging.info("Khiops manager instantiated")
logging.info("dictionary_file used: %s", self.dictionary_file)
def __init__(self, file_name):
self.utils_cl = MyUtils()
self.this_file_dir = os.path.dirname(os.path.realpath(__file__))
self.fh = FileHelper()
self.hm = HmmMachine()
self.cm = ClusteringMachine()
self.pm = PredictMachine()
self.my_metric = "euclidean"
self.file_name = file_name
self.out_fcasts_f = os.path.join(self.this_file_dir, "res", "fcasts", file_name, "ecml")
self.fh.ensure_dirs_exist([self.out_fcasts_f])
logging.info("Instantiated ECML_operator")
def __init__(self):
if '-before-file-replace' in sys.argv:
print('INFO: pre-processing file replaces started.....')
try:
FileHelper().copy_and_replace_files(
file_path_def_list=LocalSettingsLoader().LOCAL_SETTINGS[
'FILE_REPLACE_DEF_LIST_BEFORE_DAILY_OPERATION'])
except Exception as ex:
print('ERROR: pre-processing file replaces error.', ex)
print('INFO: pre-processing file replaces completed.')
if '-music-sync' in sys.argv:
print('INFO: music video file sync started.....')
try:
YoutubeMusicVideoSync().sync_mvs()
except Exception as ex:
print('ERROR: music video file sync error.', ex)
print('INFO: music video file sync completed.')
if '-clone-repos' in sys.argv:
print('INFO: git repo clone check started.....')
try:
GitOperations().clone_missing_repos()
except Exception as ex:
print('ERROR: git repo clone check error.', ex)
print('INFO: git repo clone check completed.')
if '-git-repos-sync' in sys.argv:
print('INFO: git repos sync started.....')
try:
GitOperations().fetch_all_repos_and_reset_hard()
except Exception as ex:
print('ERROR: git repos sync error.', ex)
print('INFO: git repos sync completed.')
if '-after-file-replace' in sys.argv:
print('INFO: post-processing file replace started.....')
try:
FileHelper().copy_and_replace_files(
file_path_def_list=LocalSettingsLoader().LOCAL_SETTINGS[
'FILE_REPLACE_DEF_LIST_AFTER_DAILY_OPERATION'])
except Exception as ex:
print('ERROR: post-processing file replace error.', ex)
print('INFO: post-processing file replace completed.')
def main():
net = Spotify_Net()
accounts = FileHelper().read_accounts()
for account in accounts:
t = Thread(target=add, args=[net, account])
t.start()
index = 0
for zombie in net.ZOMBIES:
credentials = accounts[i]
zombie.login(credentials[0], credentials[1])
index += 1
while True:
url = input("[*] Enter a url to play: ")
if str(url).lower() == "exit":
for zombie in net.ZOMBIES:
zombie.close()
break
net.play_song(url)
def run(self):
print("Starting...")
# Load the note file
file_helper = FileHelper()
new_file = file_helper.convert_dataset_file("./data/humidity_training_and_testing.json")
# new_file = "./data/sinewave.csv"
print("New file {0} has been created.".format(new_file))
rnn = RecurrentModel(epochs=100, use_differences=False, use_normalization=False, input_length=40,
output_length=10, training_record_ratio=0.5)
rnn.prepare_data(new_file)
# Train the model
rnn.train_network()
# Save the model
rnn.save_model("{0}_model_{1}".format(new_file, datetime.now().timestamp()))
# Display the graph
rnn.display_results()
print("Done.")
def __init__(self):
self.YOUTUBE_VIDEO_ID_LIST = LocalSettingsLoader(
).LOCAL_SETTINGS['YOUTUBE_VIDEO_ID_LIST']
self.file_helper_obj = FileHelper()
self.shell_executor = ShellExecutor()
from file_helper import FileHelper
#创建程序存储用户输入的个人信息
u_name = input('input your name\n')
u_gender = input('input your gender\n')
u_age = input('input your age\n')
f_h = FileHelper(r'study_11\user_info.txt')
f_h.write_append(u_name + '\n')
f_h.write_append(u_gender + '\n')
f_h.write_append(u_age + '\n')
print('==========读取个人信息=========')
content = f_h.read()
print(content)
print('==========序列化存储=========')
f_h.remove_content()
user = {'name': u_name, 'gender': u_gender, 'age': u_age}
f_h.write_to_json(user)
obj = f_h.json_to_object()
print(obj['name'] + '_' + obj['gender'] + '_' + obj['age'])
out_path_res = os.path.join(this_file_dir, "res") in_dir = os.path.join(this_file_dir, "data", "csvs") out_dir_res = os.path.join(this_file_dir, "res") out_dir_khiops = os.path.join(this_file_dir, "res", "khiops_res") out_dir_fcasts = os.path.join(this_file_dir, "res", "fcasts") glob_csv_res = os.path.join(out_path_res, "all.csv") vali_csv_res = os.path.join(out_path_res, "valid.csv") import pandas as pd from sklearn.tree import DecisionTreeClassifier from sklearn.linear_model import LogisticRegression from sklearn.naive_bayes import GaussianNB # Bunch of cleanings for empty files from file_helper import FileHelper fh = FileHelper(tstmp) fh.clean_zips_folder() fh.clean_res_folder(out_dir_res) fh.ensure_dirs_exist([out_path_res, in_dir, out_dir_res, out_dir_khiops, out_dir_fcasts]) # After cleaning, zip the code which is executed now fh.zip_code() # Init objects from khiops import KhiopsManager km = KhiopsManager() from my_utils import MyUtils utils = MyUtils() from ecml_machine import ECMLMachine
