(they are properly handled since 02aa2586)

 - allow passing a title to the GMT script (Default: '')
 - if startdate/enddate defined, properly determine axis limits & ticks of histogram
 - better determine rate axis settings if binning <24h
 - upon calling the script, print the issued command with "" for arguments that have a space character
 - slighly rewrote the filename setting in plotTimeline() and making it possible to read files without "_Mag" in its name
 - script is now totally in GMT5 style (no GMT4 stuff anymore)
 - no legend for 'web' view

With numpy's FFT we can clean the cache in a convenient way. ... alltogether with with the fftconvolve().
Plus: numpy's approach is a lot cleaner (and thus shorter), but you can still go back to scipy...

Plus: identified the common operations of down- and up-sampling

Plus: More comments, infos & debug/inspection options

In main.py: always check if we are in 'auto' mode with no templateSet defined - even if the directory already exist. Just in case...

Also: don't forget to mention zero-meaning when doing xcorr. But we will not use it since waveforms are already quasi zero-mean :-)

Also: outsourced matplotlib.use('Agg') to script.py

 - trim away filterMargin if procType='none'
 - readCatalog SEDDB now takes time & mag column specifications
 - in timeline, now default: print missed catalog events as gray bubbles
 - fixed some template preloading issues
 - possible to clean also scipy's FFT cache
 - print ALL gaps if present

isMaskedArray() instead of np.ma.is_masked(). The old check returned False if though an array had a mask (an "all-False-mask")

 - reworked usage of get_max_amp()
 - improved proper determination of template's rel. time of max. amp
 - other fixes & beautifications

more features & cleaned up GMT script

 - more comments + checks in main.py (non-MPI approach)
 - renaming getWaveform --> get_waveform
 - revising other/plot_waveform.py

... usable like a FDSN, but reads from a (local or mounted) SeisComP Data Structure (SDS) directory

Conflicts:Solved conflicts in
 - main.py
 - io.py
 - waveformops.py

Plus: Functions that were outsourced in 'mpi' now got updated with changes that were made in the meantime on master)

Also introduced further improvents:
 - concering template preloading and reading
 - revising do_xcorr_oneday()
	TM/eventops.py
	TM/io.py
	TM/main.py
	TM/setupclass.py
	TM/utils.py

(there was an occurence where the desired waveform length was bigger (by one sample) than its padded version [num_padded]; this occured more likely for short waveforms)

... saving preprocessed waveforms next to raw ones (we only need the former)

(before, returned only the last element)

Cherry-picked commit: 70374a05

In case of CC averaging, the CCC value per event will now be indeed an average, not the sum.

Thus now, the CCC will always be b/w 0 and 1.

Attention: will loose compatibility with resuming/loading older runs where config.threshAverage = True.
Solution: 1. rename "_threshX.XX" in the filenames accordingly (i.e. divide by the number of used channels)
          2. also divide the last row by the number of channels

Plus: overhauled preloading of chunks (e.g. load chunk from disk if already existing)
Plus: how to deal with the extra file (stdWind) in the TM task?