Cleanup imports.

Till now, most of the modules were importing all of the module objects
(variables, classes, functions, other imports) into module namespace,
which potentially could (and was) cause of unintentional use of class or
methods, which was indirect imported.

With this patch, all the star imports were substituted with top-level
module, which provides desired class or function.

Besides, all imports where sorted (where possible) in a way pep8[1]
suggests - first are imports from standard library, than goes third
party imports (like numpy, tensorflow etc) and finally coach modules.
All of those sections are separated by one empty line.

[1] https://www.python.org/dev/peps/pep-0008/#imports

run_test.py

@@ -13,23 +13,21 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-
-# -*- coding: utf-8 -*-
-import presets
-import numpy as np
-import pandas as pd
-from os import path
-import os
+import argparse
 import glob
+import os
 import shutil
+import signal
+import subprocess
 import sys
 import time
-from logger import screen
-from utils import list_all_classes_in_module, threaded_cmd_line_run, killed_processes
-import subprocess
-import signal
-import argparse
 
+import numpy as np
+import pandas as pd
+
+import logger
+import presets
+import utils
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser()
@@ -61,7 +59,7 @@ if __name__ == '__main__':
     if args.preset is not None:
         presets_lists = [args.preset]
     else:
-        presets_lists = list_all_classes_in_module(presets)
+        presets_lists = utils.list_all_classes_in_module(presets)
     win_size = 10
     fail_count = 0
     test_count = 0
@@ -70,7 +68,7 @@ if __name__ == '__main__':
     # create a clean experiment directory
     test_name = '__test'
     test_path = os.path.join('./experiments', test_name)
-    if path.exists(test_path):
+    if os.path.exists(test_path):
         shutil.rmtree(test_path)
     if args.ignore_presets is not None:
         presets_to_ignore = args.ignore_presets.split(',')
@@ -100,7 +98,7 @@ if __name__ == '__main__':
                 test_count += 1
 
                 # run the experiment in a separate thread
-                screen.log_title("Running test {} - {}".format(preset_name, framework))
+                logger.screen.log_title("Running test {} - {}".format(preset_name, framework))
                 log_file_name = 'test_log_{preset_name}_{framework}.txt'.format(
                     preset_name=preset_name,
                     framework=framework,
@@ -139,7 +137,7 @@ if __name__ == '__main__':
 
                 tries_counter = 0
                 while not csv_paths:
-                    csv_paths = glob.glob(path.join(test_path, '*', filename_pattern))
+                    csv_paths = glob.glob(os.path.join(test_path, '*', filename_pattern))
                     if tries_counter > read_csv_tries:
                         break
                     tries_counter += 1
@@ -195,26 +193,26 @@ if __name__ == '__main__':
                 # kill test and print result
                 os.killpg(os.getpgid(p.pid), signal.SIGTERM)
                 if test_passed:
-                    screen.success("Passed successfully")
+                    logger.screen.success("Passed successfully")
                 else:
                     if csv_paths:
-                        screen.error("Failed due to insufficient reward", crash=False)
-                        screen.error("preset.test_max_step_threshold: {}".format(preset.test_max_step_threshold), crash=False)
-                        screen.error("preset.test_min_return_threshold: {}".format(preset.test_min_return_threshold), crash=False)
-                        screen.error("averaged_rewards: {}".format(averaged_rewards), crash=False)
-                        screen.error("episode number: {}".format(csv['Episode #'].values[-1]), crash=False)
+                        logger.screen.error("Failed due to insufficient reward", crash=False)
+                        logger.screen.error("preset.test_max_step_threshold: {}".format(preset.test_max_step_threshold), crash=False)
+                        logger.screen.error("preset.test_min_return_threshold: {}".format(preset.test_min_return_threshold), crash=False)
+                        logger.screen.error("averaged_rewards: {}".format(averaged_rewards), crash=False)
+                        logger.screen.error("episode number: {}".format(csv['Episode #'].values[-1]), crash=False)
                     else:
-                        screen.error("csv file never found", crash=False)
+                        logger.screen.error("csv file never found", crash=False)
                         if args.verbose:
-                            screen.error("command exitcode: {}".format(p.returncode), crash=False)
-                            screen.error(open(log_file_name).read(), crash=False)
+                            logger.screen.error("command exitcode: {}".format(p.returncode), crash=False)
+                            logger.screen.error(open(log_file_name).read(), crash=False)
 
                     fail_count += 1
                 shutil.rmtree(test_path)
 
 
-    screen.separator()
+    logger.screen.separator()
     if fail_count == 0:
-        screen.success(" Summary: " + str(test_count) + "/" + str(test_count) + " tests passed successfully")
+        logger.screen.success(" Summary: " + str(test_count) + "/" + str(test_count) + " tests passed successfully")
     else:
-        screen.error(" Summary: " + str(test_count - fail_count) + "/" + str(test_count) + " tests passed successfully")
+        logger.screen.error(" Summary: " + str(test_count - fail_count) + "/" + str(test_count) + " tests passed successfully")