RDFLib / pySHACL / 85

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Inplace Mode, for when cloning your datagraph is undesirable
- Normally pyshacl will create an in-memory copy of your datagraph before modifying it (when using ontology mixin, or inferencing features)
- This might be unwanted if your datagraph is very large or remote and cloning it into memory is not a good option
- Enabling inplace mode will bypass this clone step, and apply modification operations directly on your data_graph (use with caution!)
- Enable with `inplace=True` kwarg on `validate()`.
- Inplace mode is not yet available via the CLI application, and perhaps doesn't even make sense to have it available there.

Inferencing will no longer incorrectly place expanded triples into your original data_graph, unless you enable 'inplace'
SHACL-JS loader will no longer fail if the `regex` module is not installed (it will fall back to using builtin `re`)
SHACL-Rule DASH-tests will now pass when the SHACL-rule is applied on multigraph (Dataset or ConjunctiveGraph)

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