Km3pipe

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* Fixed ``kp.io.evt.EvtPump``, where the first blob was empty for every file
while iterating through many files.
* The ``n_digits`` parameter of ``kp.io.evt.EvtPump`` can now be ``None``,
indicating that no leading zeros should be generated. This is actually
the default setting now.

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* ``-s REGEX`` in ``runtable`` and ``km3pipe detectors`` now uses a not so
strict regex - re.search instead re.match.
* ``kp.hardware.Detector`` now allows missing UTM information in detector
descriptions (for example det id 36 in the database)
* Fixes Python 2.7 compatibility with detector - ``AttributeError`` (``rfind``)

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* Fixes ``KeyError`` when accessing McTracks via the aanet API
* Fixes lookup of DOMs ``DBManager().via_clb_upi()`` and
``DBManager().via_dom_id()``, since DOMs are not unique. The same DOM can
have the very same DOM ID and DOM UPI in a different detector, so now you
need to provide a DET ID too.
* Fixes aanet crashing on mc_tracks (introduced in 7.17.XXX)

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* Fixed typo ``ligiermirro`` -> ``ligiermirror``

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* ``triggersetup`` command line utility added, which allows easy access to
the trigger setup of a given run setup
* ``k40calib`` now accepts ``-s`` to select a ``JDAQTimeslice`` stream.
an empty string will use the original stream and 'L1', 'L2' and 'SN' will
select the new streams introduced in Jpp v9
* ``kp.tools.AnyBar`` added to control the AnyBar macOS app, including a
pipeline integration: ``kp.Pipeline(anybar=True)``
* ``km3pipe runtable`` is now a standalone command line tool: ``runtable``
* ``km3pipe runinfo`` is now a standalone command line tool: ``runinfo``
* ``UTMInfo`` added in ``kp.hardware`` to make access to UTM information easier
in detector files ``Detector().utm_info``...
* ``ligiermirror`` command line utility added

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* ``km3pipe.plot``: Common plotting helpers
* A handful utility functions for ``km3pipe.shell.Script``, like ``cp``,
``iget``...
* ``kp.tools.bincenters`` now lives in ``kp.plot``.
* ``kp.db.DBManager.trigger_setup`` can now retrieve trigger setups for a given
OID
* Add ``n_digits`` option in ``kp.io.evt.EvtPump`` for file number index
when iterating over multiple files.
* ``kp.math`` has some helpers for bootstrapping confidence intervals
when fitting probability distributions via max LLH (in scipy.stats)
* Docs: move statistics examples to own section, show some distribution fits