rebase

README.md

@@ -270,13 +270,16 @@ PS:
 
 2. An alternative way is building your own NFS for your physical machines and locate data_root to the NFS.
 
+## further usage demos
+
+We write the usage of RLA as unit tests. You can check the scripts in `test` folder for more details (include test_plot.py, test_scripts.py, and test_proj/proj/test_manger.py).
+
 # TODO
 - [ ] support custom data structure saving and loading.
 - [ ] support video visualization.
 - [ ] add comments and documents to the functions.
 - [ ] add an auto integration script.
 - [ ] download / upload experiment logs through timestamp.
 - [ ] add a document to the plot function.
-- [ ] allow sync LOG only or ALL TYPE LOGS. 
-- [x] support aim and smarter logger.
+- [ ] allow sync LOG only or ALL TYPE LOGS.
 - [ ] add unit_test to ckp loader.

RLA/easy_log/tester.py

@@ -15,6 +15,7 @@
 import datetime
 import os.path as osp
 import pprint
+import numpy as np
 
 
 from RLA.easy_log.time_step import time_step_holder

example/simplest_code/project/main.py

@@ -28,16 +28,9 @@ def get_param():
 
 task_name = 'demo_task'
 rla_data_root = '../'
-<<<<<<< HEAD
-<<<<<<< HEAD
+
 exp_manager.configure(task_name, rla_config='../rla_config.yaml', data_root=rla_data_root,
                       ignore_file_path='./ignore')
-=======
-exp_manager.configure(task_name, rla_config='../rla_config.yaml', data_root=rla_data_root)
->>>>>>> 9bd402e505cc920aa4329f451ac34fb3b12f6347
-=======
-exp_manager.configure(task_name, rla_config='../rla_config.yaml', data_root=rla_data_root)
->>>>>>> 29ab768949f26c307e4bdb07fd9d0dc15047a69d
 exp_manager.log_files_gen()
 exp_manager.print_args()