fast-curator

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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

.. code-block:: bash

    pip install --user fast-curator

Usage

.. code-block:: bash

    # 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:

• 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.
• 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

.. code-block:: python

    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...