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How to use logs_dir method in Slash
Best Python code snippet using slash
log.py
Source:log.py 
...121 self.logger.propagate = False122 # 设置æ¥å¿levelï¼å¹¶ç»ä¸æ´æ°ç±æ´æ°levelè¿å¸¦çä¸ç³»åæ´æ°123 self.update_level(level)124 # # å建logs_dir125 # self.create_logs_dir(logs_dir=logs_dir)126 # # 为logger设置level127 # self.logger.setLevel(self.__level_mapping.get(self.level))128 # # 设置file_log & stream_log129 # self.set_file_log(fmt=fmt)130 # if stream:131 # self.set_stream_log()132 def update_level(self, level):133 '''设置æ¥å¿levelï¼å¹¶ç»ä¸æ´æ°ç±æ´æ°levelè¿å¸¦çä¸ç³»åæ´æ°ã134 :param level(String): log levelã135 '''136 # æ ¡éªå¹¶æ´æ°level137 if not type(level) == str:138 raise TypeError(139 "level expected type is str but get type {}".format(140 type(level).__name__))141 elif not level in self.__level_list:142 raise NameError(143 "check level at least one corrected logLevel in: {}".format(144 self.__level_list))145 else:146 self.__dict__['level'] = level147 self.logger.setLevel(self.__level_mapping.get(self.level))148 self.create_logs_dir()149 # æ¸
é¤ä¹åçhandlers150 self.logger.handlers.clear()151 self.set_file_log()152 self.set_stream_log()153 def create_logs_dir(self, logs_dir=None):154 '''å建logs_dir155 :param logs_dir(String): logæ件路å¾ã156 '''157 if logs_dir:158 self.logs_dir = os.path.join(logs_dir, 'logs', self.level)159 else:160 # self.logs_dir = sys.argv[0][0:-3] + '.log' # å¨æè·åè°ç¨æ件çåå161 # print('logs_dir', self.logs_dir)162 self.logs_dir = os.path.join(163 os.path.dirname("__file__"), "logs", self.level)164 # print('create_logs_dir logs_dir', os.path.pardir, self.logs_dir)165 def set_file_log(self, fmt=None):166 '''设置æ¥å¿æ ¼å¼167 :param fmt(): logæ ¼å¼ã168 '''169 self.fmt = fmt or '%(asctime)-12s %(name)s %(filename)s[%(lineno)d] %(levelname)-8s %(message)-12s'170 self.formatter = _Formatter(self.fmt)171 # è¾åºå°æ¥å¿æ件å
172 # æ®éæ件è¾åº173 # self.file = logging.FileHandler(self.logs_dir, encoding='utf-8')174 # å¯ææ¥å¿æ件大å°è¿è¡æ件è¾åº175 self.file = logging.handlers.RotatingFileHandler(176 filename=self.get_log_path(),177 mode='a',178 maxBytes=1000 * 100,179 backupCount=5,180 encoding="utf-8",181 delay=False182 )183 self.file.setFormatter(self.formatter)184 self.file.setLevel(self.__level_mapping.get(self.level))185 self.logger.addHandler(self.file)186 def set_stream_log(self):187 '''设置å±å¹æå°æ¥å¿188 '''189 self.stream = logging.StreamHandler()190 self.stream.setFormatter(_Formatter(191 '<%(levelname)s> %(caller_file_name)s[%(caller_line_number)d] %(message)-12s'))192 self.stream.setLevel(self.__level_mapping.get(self.level))193 self.logger.addHandler(self.stream)194 def get_log_path(self, logs_dir=None):195 """å建logæ¥å¿æ件æ件åï¼ä»¥å½åæ¥æè¿è¡å½å196 :param logs_dir: ä¿ålogæ¥å¿æ件çæ件夹路å¾197 :return: æ¼æ¥å¥½çlogæ件åãæ ¼å¼ï¼path_to/logs/level/20200202.log198 """199 # å建æ件ç®å½200 if not os.path.exists(self.logs_dir) and not os.path.isdir(self.logs_dir):201 try:202 os.mkdir(self.logs_dir)203 except Exception as e:204 os.makedirs(self.logs_dir)205 # ä¿®æ¹logä¿åä½ç½®206 timestamp = time.strftime("%Y%m%d", time.localtime())207 log_name = '%s.log' % timestamp208 log_path = os.path.join(self.logs_dir, log_name)209 return log_path210 def __getattr__(self, attr):211 # print('__getattr__', attr)212 # print('__getattr__',self.__level_list, attr,)213 # ç®åè°ç¨loggerå±çº§(å°levelæ å°ä¸ºæ¹æ³): log.logger.info(msg) > log.info(msg)214 if attr in self.__level_list or attr == 'exception':215 # print('__getattr__ if', attr)216 return getattr(self.logger, attr)217 raise AttributeError(218 '{0} object has no attribute {1}'.format(self.__class__.__name__, attr))219 def __setattr__(self, attr, value):220 # print('__setattr__', dir(self))221 # print('__setattr__', attr, value)222 # self.attr = value # é误åæ³ ä¼å次è°ç¨èªèº«__setattr__ï¼é ææ»å¾ªç¯ã223 self.__dict__[attr] = value224 # è¥ä¿®æ¹çå±æ§æ¯level åéä¿®æ¹ä»¥ä¸å 个å°æ¹æå¯ä»¥225 if hasattr(self, attr) and attr in ['level']:226 # self.logger.setLevel(self.__level_mapping.get(self.level))227 # self.create_logs_dir()228 # self.set_file_log()229 # self.set_stream_log()230 self.update_level(value)231 def __call__(self, msg):232 '''è¿ä¸æ¥ç®åè°ç¨loggerçå符æ°é: log.info(msg) > log(msg)233 '''234 return getattr(self, self.level)(msg)235# print('config.BASE_DIR',config.BASE_DIR)236# log = Log(username='nut')237# log = Log(stream=True,)238# log.info('config.BASE_DIR')239# log = Log(level="info")240# log = Log(level="error")241# log = Log(level="critical", stream=True)...
test_smart_dispatch.py
Source:test_smart_dispatch.py
1import os2import unittest3import tempfile4import shutil5from os.path import join as pjoin, abspath6from subprocess import call7from nose.tools import assert_true, assert_equal8class TestSmartdispatcher(unittest.TestCase):9 def setUp(self):10 self.testing_dir = tempfile.mkdtemp()11 self.logs_dir = os.path.join(self.testing_dir, 'SMART_DISPATCH_LOGS')12 self.folded_commands = 'echo "[1 2 3 4]" "[6 7 8]" "[9 0]"'13 self.commands = ["echo 1 6 9", "echo 1 6 0", "echo 1 7 9", "echo 1 7 0", "echo 1 8 9", "echo 1 8 0",14 "echo 2 6 9", "echo 2 6 0", "echo 2 7 9", "echo 2 7 0", "echo 2 8 9", "echo 2 8 0",15 "echo 3 6 9", "echo 3 6 0", "echo 3 7 9", "echo 3 7 0", "echo 3 8 9", "echo 3 8 0",16 "echo 4 6 9", "echo 4 6 0", "echo 4 7 9", "echo 4 7 0", "echo 4 8 9", "echo 4 8 0"]17 self.nb_commands = len(self.commands)18 scripts_path = abspath(pjoin(os.path.dirname(__file__), os.pardir, "scripts"))19 self.smart_dispatch_command = '{} -C 1 -q test -t 5:00 -x'.format(pjoin(scripts_path, 'smart-dispatch'))20 self.launch_command = "{0} launch {1}".format(self.smart_dispatch_command, self.folded_commands)21 self.resume_command = "{0} resume {{0}}".format(self.smart_dispatch_command)22 smart_dispatch_command_with_pool = '{} --pool 10 -C 1 -q test -t 5:00 -x {{0}}'.format(pjoin(scripts_path, 'smart-dispatch'))23 self.launch_command_with_pool = smart_dispatch_command_with_pool.format('launch ' + self.folded_commands)24 self.nb_workers = 1025 smart_dispatch_command_with_cores = '{} -C 1 -c {{cores}} -q test -t 5:00 -x {{0}}'.format(pjoin(scripts_path, 'smart-dispatch'))26 self.launch_command_with_cores = smart_dispatch_command_with_cores.format('launch ' + self.folded_commands, cores='{cores}')27 self._cwd = os.getcwd()28 os.chdir(self.testing_dir)29 def tearDown(self):30 os.chdir(self._cwd)31 shutil.rmtree(self.testing_dir)32 def test_main_launch(self):33 # Actual test34 exit_status = call(self.launch_command, shell=True)35 # Test validation36 assert_equal(exit_status, 0)37 assert_true(os.path.isdir(self.logs_dir))38 assert_equal(len(os.listdir(self.logs_dir)), 1)39 batch_uid = os.listdir(self.logs_dir)[0]40 path_job_commands = os.path.join(self.logs_dir, batch_uid, "commands")41 assert_equal(len(os.listdir(path_job_commands)), self.nb_commands + 1)42 def test_launch_using_commands_file(self):43 # Actual test44 commands_filename = "commands_to_run.txt"45 open(commands_filename, 'w').write("\n".join(self.commands))46 launch_command = self.smart_dispatch_command + " -f {0} launch".format(commands_filename)47 exit_status = call(launch_command, shell=True)48 # Test validation49 assert_equal(exit_status, 0)50 assert_true(os.path.isdir(self.logs_dir))51 assert_equal(len(os.listdir(self.logs_dir)), 1)52 batch_uid = os.listdir(self.logs_dir)[0]53 path_job_commands = os.path.join(self.logs_dir, batch_uid, "commands")54 assert_equal(len(os.listdir(path_job_commands)), self.nb_commands + 1)55 assert_equal(open(pjoin(path_job_commands, 'commands.txt')).read(), "\n".join(self.commands) + "\n")56 def test_main_launch_with_pool_of_workers(self):57 # Actual test58 exit_status = call(self.launch_command_with_pool, shell=True)59 # Test validation60 assert_equal(exit_status, 0)61 assert_true(os.path.isdir(self.logs_dir))62 assert_equal(len(os.listdir(self.logs_dir)), 1)63 batch_uid = os.listdir(self.logs_dir)[0]64 path_job_commands = os.path.join(self.logs_dir, batch_uid, "commands")65 assert_equal(len(os.listdir(path_job_commands)), self.nb_workers + 1)66 def test_main_launch_with_cores_command(self):67 # Actual test68 exit_status_0 = call(self.launch_command_with_cores.format(cores=0), shell=True)69 exit_status_100 = call(self.launch_command_with_cores.format(cores=100), shell=True)70 # Test validation71 assert_equal(exit_status_0, 2)72 assert_equal(exit_status_100, 2) 73 assert_true(os.path.isdir(self.logs_dir))74 def test_main_resume(self):75 # Setup76 call(self.launch_command, shell=True)77 batch_uid = os.listdir(self.logs_dir)[0]78 # Simulate that some commands are in the running state.79 path_job_commands = os.path.join(self.logs_dir, batch_uid, "commands")80 pending_commands_file = pjoin(path_job_commands, "commands.txt")81 running_commands_file = pjoin(path_job_commands, "running_commands.txt")82 commands = open(pending_commands_file).read().strip().split("\n")83 with open(running_commands_file, 'w') as running_commands:84 running_commands.write("\n".join(commands[::2]) + "\n")85 with open(pending_commands_file, 'w') as pending_commands:86 pending_commands.write("\n".join(commands[1::2]) + "\n")87 # Actual test (should move running commands back to pending).88 exit_status = call(self.resume_command.format(batch_uid), shell=True)89 # Test validation90 assert_equal(exit_status, 0)91 assert_true(os.path.isdir(self.logs_dir))92 assert_equal(len(os.listdir(self.logs_dir)), 1)93 assert_equal(len(open(running_commands_file).readlines()), 0)94 assert_equal(len(open(pending_commands_file).readlines()), len(commands))95 # Test when batch_uid is a path instead of a jobname.96 # Setup97 batch_uid = os.path.join(self.logs_dir, os.listdir(self.logs_dir)[0])98 # Simulate that some commands are in the running state.99 path_job_commands = os.path.join(self.logs_dir, batch_uid, "commands")100 pending_commands_file = pjoin(path_job_commands, "commands.txt")101 running_commands_file = pjoin(path_job_commands, "running_commands.txt")102 commands = open(pending_commands_file).read().strip().split("\n")103 with open(running_commands_file, 'w') as running_commands:104 running_commands.write("\n".join(commands[::2]) + "\n")105 with open(pending_commands_file, 'w') as pending_commands:106 pending_commands.write("\n".join(commands[1::2]) + "\n")107 # Actual test (should move running commands back to pending).108 exit_status = call(self.resume_command.format(batch_uid), shell=True)109 # Test validation110 assert_equal(exit_status, 0)111 assert_true(os.path.isdir(self.logs_dir))112 assert_equal(len(os.listdir(self.logs_dir)), 1)113 assert_equal(len(open(running_commands_file).readlines()), 0)114 assert_equal(len(open(pending_commands_file).readlines()), len(commands))115 def test_main_resume_by_expanding_pool_default(self):116 # Create SMART_DISPATCH_LOGS structure.117 call(self.launch_command, shell=True)118 batch_uid = os.listdir(self.logs_dir)[0]119 # Simulate that some commands are in the running state.120 nb_commands_files = 2 # 'commands.txt' and 'running_commands.txt'121 path_job_commands = os.path.join(self.logs_dir, batch_uid, "commands")122 pending_commands_file = pjoin(path_job_commands, "commands.txt")123 running_commands_file = pjoin(path_job_commands, "running_commands.txt")124 commands = open(pending_commands_file).read().strip().split("\n")125 with open(running_commands_file, 'w') as running_commands:126 running_commands.write("\n".join(commands[::2]) + "\n")127 with open(pending_commands_file, 'w') as pending_commands:128 pending_commands.write("\n".join(commands[1::2]) + "\n")129 # Remove PBS files so we can check that new ones are going to be created.130 for f in os.listdir(path_job_commands):131 if f.startswith('job_commands_') and f.endswith('.sh'):132 os.remove(pjoin(path_job_commands, f))133 # Should NOT move running commands back to pending but should add new workers.134 command_line = self.resume_command.format(batch_uid)135 command_line += " --expandPool"136 exit_status = call(command_line, shell=True)137 # Test validation138 assert_equal(exit_status, 0)139 assert_equal(len(open(running_commands_file).readlines()), len(commands[::2]))140 assert_equal(len(open(pending_commands_file).readlines()), len(commands[1::2]))141 nb_job_commands_files = len(os.listdir(path_job_commands))142 assert_equal(nb_job_commands_files-nb_commands_files, len(commands[1::2]))143 def test_main_resume_by_expanding_pool(self):144 # Create SMART_DISPATCH_LOGS structure.145 call(self.launch_command, shell=True)146 batch_uid = os.listdir(self.logs_dir)[0]147 # Simulate that some commands are in the running state.148 nb_commands_files = 2 # 'commands.txt' and 'running_commands.txt'149 path_job_commands = os.path.join(self.logs_dir, batch_uid, "commands")150 pending_commands_file = pjoin(path_job_commands, "commands.txt")151 running_commands_file = pjoin(path_job_commands, "running_commands.txt")152 commands = open(pending_commands_file).read().strip().split("\n")153 with open(running_commands_file, 'w') as running_commands:154 running_commands.write("\n".join(commands[::2]) + "\n")155 with open(pending_commands_file, 'w') as pending_commands:156 pending_commands.write("\n".join(commands[1::2]) + "\n")157 # Remove PBS files so we can check that new ones are going to be created.158 for f in os.listdir(path_job_commands):159 if f.startswith('job_commands_') and f.endswith('.sh'):160 os.remove(pjoin(path_job_commands, f))161 # Should NOT move running commands back to pending but should add new workers.162 nb_workers_to_add = 3163 command_line = self.resume_command.format(batch_uid)164 command_line += " --expandPool {}".format(nb_workers_to_add)165 exit_status = call(command_line, shell=True)166 # Test validation167 assert_equal(exit_status, 0)168 assert_equal(len(open(running_commands_file).readlines()), len(commands[::2]))169 assert_equal(len(open(pending_commands_file).readlines()), len(commands[1::2]))170 nb_job_commands_files = len(os.listdir(path_job_commands))...
train.py
Source:train.py
1import sys2sys.path.insert(0, './lib/python')3import VAD_Proposed as Vp4import VAD_DNN as Vd5import VAD_bDNN as Vb6import VAD_LSTM_2 as Vl7import scipy.io as sio8import os, getopt9import time10import graph_save as gs11import path_setting as ps12# norm_dir = "./norm_data"13# data_dir = "./sample_data"14# ckpt_name = '/model9918and41.ckpt-2'15# model_dir = "./saved_model"16# valid_batch_size = 413417if __name__ == '__main__':18 try:19 opts, args = getopt.getopt(sys.argv[1:], 'hm:e:', ["prj_dir="])20 except getopt.GetoptError as err:21 print(str(err))22 sys.exit(1)23 if len(opts) != 3:24 print("arguments are not enough.")25 sys.exit(1)26 for opt, arg in opts:27 if opt == '-h':28 sys.exit(0)29 elif opt == '-m':30 mode = int(arg)31 elif opt == '-e':32 extract_feat = int(arg)33 elif opt == '--prj_dir':34 prj_dir = str(arg)35 data_dir = prj_dir + '/data/raw'36 train_data_dir = data_dir + '/train'37 valid_data_dir = data_dir + '/valid'38 save_dir = prj_dir + '/data/feat'39 train_save_dir = save_dir + '/train'40 valid_save_dir = save_dir + '/valid'41 if extract_feat:42 os.system("rm -rf " + save_dir)43 os.system("mkdir " + save_dir)44 os.system("mkdir " + save_dir + '/train')45 os.system("mkdir " + save_dir + '/valid')46 os.system(47 "matlab -r \"try acoustic_feat_ex(\'%s\',\'%s\'); catch; end; quit\"" % (train_data_dir, train_save_dir))48 os.system(49 "matlab -r \"try acoustic_feat_ex(\'%s\',\'%s\'); catch; end; quit\"" % (valid_data_dir, valid_save_dir))50 train_norm_dir = save_dir + '/train/global_normalize_factor.mat'51 test_norm_dir = prj_dir + '/norm_data/global_normalize_factor.mat'52 os.system("cp %s %s" % (train_norm_dir, test_norm_dir))53 if mode == 0:54 set_path = ps.PathSetting(prj_dir, 'ACAM')55 logs_dir = set_path.logs_dir56 os.system("rm -rf " + logs_dir + '/train')57 os.system("rm -rf " + logs_dir + '/valid')58 os.system("mkdir " + logs_dir + '/train')59 os.system("mkdir " + logs_dir + '/valid')60 Vp.main(prj_dir, 'ACAM', 'train')61 # Vp.train_config(save_dir+'/train', save_dir+'/valid', prj_dir+'/logs', batch_size,62 # train_step, 'train')63 #64 # Vp.main()65 gs.freeze_graph(prj_dir + '/logs/ACAM', prj_dir + '/saved_model/graph/ACAM', 'model_1/logits,model_1/raw_labels')66 if mode == 1:67 set_path = ps.PathSetting(prj_dir, 'bDNN')68 logs_dir = set_path.logs_dir69 os.system("rm -rf " + logs_dir + '/train')70 os.system("rm -rf " + logs_dir + '/valid')71 os.system("mkdir " + logs_dir + '/train')72 os.system("mkdir " + logs_dir + '/valid')73 # Vb.train_config(save_dir+'/train', save_dir+'/valid', prj_dir+'/logs', batch_size,74 # train_step, 'train')75 Vb.main(prj_dir, 'bDNN', 'train')76 gs.freeze_graph(prj_dir + '/logs/bDNN', prj_dir + '/saved_model/graph/bDNN', 'model_1/logits,model_1/labels')77 # gs.freeze_graph(prj_dir + '/saved_model/temp', prj_dir + '/saved_model/temp', 'model_1/soft_pred,model_1/raw_labels')78 if mode == 2:79 set_path = ps.PathSetting(prj_dir, 'DNN')80 logs_dir = set_path.logs_dir81 os.system("rm -rf " + logs_dir + '/train')82 os.system("rm -rf " + logs_dir + '/valid')83 os.system("mkdir " + logs_dir + '/train')84 os.system("mkdir " + logs_dir + '/valid')85 Vd.main(prj_dir, 'DNN', 'train')86 gs.freeze_graph(prj_dir + '/logs/DNN', prj_dir + '/saved_model/graph/DNN', 'model_1/soft_pred,model_1/raw_labels')87 # gs.freeze_graph(prj_dir + '/saved_model/temp', prj_dir + '/saved_model/temp', 'model_1/soft_pred,model_1/raw_labels')88 if mode == 3:89 set_path = ps.PathSetting(prj_dir, 'LSTM')90 logs_dir = set_path.logs_dir91 os.system("rm -rf " + logs_dir + '/train')92 os.system("rm -rf " + logs_dir + '/valid')93 os.system("mkdir " + logs_dir + '/train')94 os.system("mkdir " + logs_dir + '/valid')95 Vl.main(prj_dir, 'LSTM', 'train')96 gs.freeze_graph(prj_dir + '/logs/LSTM', prj_dir + '/saved_model/graph/LSTM', 'model_1/soft_pred,model_1/raw_labels')97 # os.system("rm -rf")...
npy_handler.py
Source:npy_handler.py
1import numpy as np2import matplotlib.pyplot as plt3def smooth(x, timestamps=9):4 # last 1005 n = len(x)6 y = np.zeros(n)7 for i in range(n):8 start = max(0, i - timestamps)9 y[i] = float(x[start:(i + 1)].sum()) / (i - start + 1)10 return y11# observation analysis12for a in range(0):13 logs_dir = '../Data/results/'14 ob_ls = np.load(logs_dir + '{}'.format('ob_ls') + '.npy')15 ob_ls = np.squeeze(ob_ls)16 ob_mean = np.mean(ob_ls, axis=0)17 ob_std = np.std(ob_ls, axis=0)18 ob_max = np.max(ob_ls, axis=0)19 ob_min = np.min(ob_ls, axis=0)20 print("")21 print("ob_mean:", ob_mean)22 print("")23 print("ob_std:", ob_std)24 obs_mean = np.array([4.83868269e+01, 9.26671424e+01, 6.41770269e+02, -3.11372911e+02,25 6.78844516e-02, 1.27067008e-02, 1.46767778e+02])26 obs_std = np.array([9.87342636e+00, 1.13743122e+02, 1.30954515e+02, 3.87827102e+02,27 5.11422102e-02, 6.47789938e-02, 2.07343922e+02])28 ob_test = ob_ls[110:120, :]29 obs_normalized = (ob_test - obs_mean) / obs_std30# reward original analysis31for a in range(1):32 logs_dir = '../Data/results/'33 reward = np.load(logs_dir + '{}'.format('reward_np') + '.npy')34 reward_mean = np.mean(reward, axis=0)35 reward_std = np.std(reward, axis=0)36 print("")37 print("reward_mean:", reward_mean)38 print("")39 print("reward_std:", reward_std)40 r_mean = -6707.5441 r_std = 7314.1542 r = reward / r_std43 reward_sum = np.sum(reward) # -25595967.3644 r_sum = np.sum(r) # r_sum = -3499.5145 print("")46# reward random action analysis47for a in range(0):48 logs_dir = '../Data-13/results/'49 reward = np.load(logs_dir + '{}'.format('reward_ls') + '.npy')50 reward_mean = np.mean(reward, axis=0)51 reward_std = np.std(reward, axis=0)52 r_mean = -6755.7653 r_std = 7331.1954 r = reward / r_std55 reward_sum = np.sum(reward) # -25779975.8956 r_sum = np.sum(r) # r_sum = -352457 print("")58# speed tracking analysis59for a in range(0):60 logs_dir = '../Data-13/results/'61 v_mph = np.load(logs_dir + '{}'.format('v_mph_ls') + '.npy')62 target_speed = np.load(logs_dir + '{}'.format('target_speed_ls') + '.npy')63 spd_err = target_speed - v_mph64 print("")65# speed tracking analysis66for a in range(0):67 logs_dir = '../Data-1/results/'68 tHist = np.load(logs_dir + '{}'.format('tHist') + '.npy')69 eng_org_ls = np.load(logs_dir + '{}'.format('eng_org_ls') + '.npy')70 eng_new_ls = np.load(logs_dir + '{}'.format('eng_new_ls') + '.npy')71 fig = plt.figure()72 fig1, = plt.plot(tHist[0], eng_org_ls[0], color='red', linewidth=1, label='eng ori')73 fig2, = plt.plot(tHist[0], smooth(eng_new_ls[0]), color='b', linewidth=1, label='eng new')74 # engine torque75 plt.xlim(0, 800)76 plt.ylim(-100, 200)77 plt.ylabel("Engine Torque")78 plt.xlabel("Time(s)")79 plt.title("Engine Torque")80 plt.legend()81 plt.show()82# check the values of SOC83for a in range(0):84 logs_dir = '../Data-1/results/'85 SOC = np.load(logs_dir + '{}'.format('SOC') + '.npy')...
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