A tool for reproducible scientific computing
pip install repsci
Import the logging library.
Create an experiment. A unique directory will be created with the experiment name, a timestamp, and the current git hash.
exp_name = "hello_world" exp = repsci.Experiment(exp_name)
Get the logger and write a log message.
log = exp.get_logger() log.debug("Hello, World!")
Create an output file in the unique output directory.
filename = exp.get_filename('output.csv') with open(filename, "wb") as f: f.write("Hello, World\n")
The state of python's random number generator is stored in
in pickle format. This state can be used to reproduce the output of randomized
The Experiment constructor also has some optional parameters:
note: a string of notes to store in a
notes.txtfile in the output directory.
config: a configparser object, which will exported to the output directory.
output_dir: the subdirectory of the current directory to place experiment directories in.
suffix: a string to append to the end of the trial's directory.
Create an experiment from a previous experiment's unique directory.
exp_name = "hello_world" timestamp = "2020-09-09 152600" exp = repsci.Experiment(exp_name, reproduce=timestamp)
Get the config from the prevous experiment.
config = exp.get_config()
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