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Copy file name to clipboardExpand all lines: pyerrors/__init__.py
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# What is pyerrors?
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`pyerrors` is a python package for error computation and propagation of Markov chain Monte Carlo data.
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It is based on the gamma method [arXiv:hep-lat/0306017](https://arxiv.org/abs/hep-lat/0306017). Some of its features are:
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A JSON schema that may be used to verify the correctness of a file with respect to the format definition is stored in ./examples/json_schema.json. The schema is a self-descriptive format definition and contains an exemplary file.
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Julia I/O routines for the json.gz format, compatible with [ADerrors.jl](https://gitlab.ift.uam-csic.es/alberto/aderrors.jl), can be found [here](https://github.com/fjosw/ADjson.jl).
Copy file name to clipboardExpand all lines: pyerrors/input/__init__.py
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`pyerrors` includes an `input` submodule in which input routines and parsers for the output of various numerical programs are contained.
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# Jackknife samples
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For comparison with other analysis workflows `pyerrors` can also generate jackknife samples from an `Obs` object or import jackknife samples into an `Obs` object.
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See `pyerrors.obs.Obs.export_jackknife` and `pyerrors.obs.import_jackknife` for details.
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