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A tool for reproducible scientific computing

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Import the logging library.

import repsci

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 random_state.bin in pickle format. This state can be used to reproduce the output of randomized scripts.

The Experiment constructor also has some optional parameters:

  • 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.

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