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https://github.com/gryf/coach.git
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Adding a summary when exiting coach
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50
coach.py
50
coach.py
@@ -29,54 +29,11 @@ import argparse
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from subprocess import Popen
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import datetime
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import presets
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import atexit
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if len(set(failed_imports)) > 0:
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screen.warning("Warning: failed to import the following packages - {}".format(', '.join(set(failed_imports))))
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time_started = datetime.datetime.now()
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cur_time = time_started.time()
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cur_date = time_started.date()
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def get_experiment_name(initial_experiment_name=''):
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match = None
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while match is None:
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if initial_experiment_name == '':
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experiment_name = screen.ask_input("Please enter an experiment name: ")
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else:
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experiment_name = initial_experiment_name
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experiment_name = experiment_name.replace(" ", "_")
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match = re.match("^$|^[\w -/]{1,100}$", experiment_name)
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if match is None:
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screen.error('Experiment name must be composed only of alphanumeric letters, '
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'underscores and dashes and should not be longer than 100 characters.')
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return match.group(0)
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def get_experiment_path(experiment_name, create_path=True):
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general_experiments_path = os.path.join('./experiments/', experiment_name)
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if not os.path.exists(general_experiments_path) and create_path:
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os.makedirs(general_experiments_path)
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experiment_path = os.path.join(general_experiments_path, '{}_{}_{}-{}_{}'
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.format(logger.two_digits(cur_date.day), logger.two_digits(cur_date.month),
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cur_date.year, logger.two_digits(cur_time.hour),
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logger.two_digits(cur_time.minute)))
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i = 0
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while True:
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if os.path.exists(experiment_path):
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experiment_path = os.path.join(general_experiments_path, '{}_{}_{}-{}_{}_{}'
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.format(cur_date.day, cur_date.month, cur_date.year, cur_time.hour,
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cur_time.minute, i))
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i += 1
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else:
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if create_path:
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os.makedirs(experiment_path)
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return experiment_path
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def set_framework(framework_type):
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# choosing neural network framework
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@@ -146,8 +103,8 @@ def check_input_and_fill_run_dict(parser):
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args.exploration_policy_type = 'ExplorationParameters'
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# get experiment name and path
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experiment_name = get_experiment_name(args.experiment_name)
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experiment_path = get_experiment_path(experiment_name)
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experiment_name = logger.get_experiment_name(args.experiment_name)
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experiment_path = logger.get_experiment_path(experiment_name)
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if args.play and num_workers > 1:
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screen.warning("Playing the game as a human is only available with a single worker. "
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@@ -289,6 +246,7 @@ if __name__ == "__main__":
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# dump documentation
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logger.set_dump_dir(run_dict['experiment_path'], add_timestamp=True)
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atexit.register(logger.print_summary)
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# Single-threaded runs
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if run_dict['num_threads'] == 1:
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