fast-curator
Create, read and write dictionary descriptions of input datasets to process. Currently all datasets are expected to be built from sets of ROOT Trees.
Installing
pip install --user fast-curator
Usage
# Local files:
fast_curator -o output_file_list.txt -t tree_name -d dataset_name --mc input/files/*root
# Single XROOTD files:
fast_curator -o output_file_list.txt --mc root://my.domain.with.files://input/files/one_file.root
# XROOTD files with several globs
fast_curator -o output_file_list.txt --mc root://my.domain.with.files://inp*/files/*.root
Notes: 1. If the command is called multiple times with the same output file (using the -o option), the additional files specified will be appended to the output file. 2. Arbitrary meta-data (such as cross-section, data quality, generator precision, etc) can be added to each dataset with the -m option.
For more guidance try the built-in help:
fast_curator --help
Reading dataset files back
import fast_curator
datasets = fast_curator.read.from_yaml("my_dataset_file.yml")
Will return a list of datasets with the default section applied to each dataset.
Further Documentation
Is on its way…
Metadata
Release files for fast-curator 0.8.1
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| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| fast_curator-0.8.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for fast_curator-0.8.1-py2.py3-none-any.whl |
Total release size: 22.5 kB
Release files / fast-curator-0.8.1.tar.gz
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