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.
1 maintainer
Metadata
1 maintainer
Release files for repsci-elplatt 1.1.1
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| File | Size | Uploaded | Provenance | Actions |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| repsci_elplatt-1.1.1-py3-none-any.whl | Python 3 | none | any | Details for repsci_elplatt-1.1.1-py3-none-any.whl |
Total release size: 4.2 kB
Release files / repsci-elplatt-1.1.1.tar.gz
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Release files / repsci_elplatt-1.1.1-py3-none-any.whl
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| Tags | Python 3 |
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