Recent attempts to change the AverageAlgorithm to allow fewer than the full
complement of inputs when calculating a mutli-station average were thwarted
by the default can_produce_data() method in the parent Algorithm class, which
required all inputs to be present, when what we now want is **any** inputs to
be present.

Imported Enum to define a CLI parameter with a predefined set of values to choose from. Created a spreadsheets_dir option and factory option.

Previously use the number of traces in the input Stream. This could
be fewer than the number of desired observatories if a given input's
data was completely missing.

The recently added `min_count` option to AverageAlgorithm.py leads to some
undesirable behavior when realtime data, with asynchronous inputs, are being
processed. By adding the ability to specify an interval over which `min_count`
is applied, some of this undesirable behavior can be mitigated.

In particular, if the `realtime` option is specified via the controller, and
`min_count` is defined, the minimum number of inputs will be allowed only for
time steps prior to `(UTCDateTime.now() - realtime)`; the full complement of
inputs will be required to calculate averages more recent than that. One
drawback is that if an input observatory goes offline for an extended period,
the Dst index will be calculated with a persistent lag `realtime` seconds long.

A user can always override this admittedly ad-hoc default behavior using the
`min_count_start` and `min_count_end` options.

- added a `min_count` keyword to the AvergeAlgorithm's __init__() method;
- added a --average-min-count option via the add_arguments() classmethod;
- set `self.min_count = arguments.average_min_count` in configure() method;
- refactored process() method to respect `min_count`, but now it defaults
  to a requirement that all inputs be valid (this modified a recent merge
  by @awernle that only required that any inputs be valid;
- modified AverageAlgorithm_test.py to properly assess things in light
  of the change to default behavior just mentioned.

Renamed variables and put into paragraphs. Asserted that the count correctly shows where there are fewer input data.

Changed dst_tot to calculate average regardless of nan values and added a new stream that counts available observatories pertimestep

Changed starttime/endtime to be defined by first absolutes reading starttime and last absolutes reading(last commit was supposed to include this but did not)

 Broke up code into smaller functions, changed starttime/endtime to be defined by first absolutes reading starttime and last absolutes reading endtime

The calculation of scale_value in geomagio.residual.calculate() is not
quite correct, but that needs to be addressed in a separate commit and
merge request. I'm reverting the recent change here so that we don't
break the tests.

Fixes #75

When geomagio.residual.calculate() is called with adjust_reference set equal
to True, the start/end timestamps now both reflect the time of the first absolute
measurement (i.e., West Down). This is consistent with the residual absolute
spreadsheet calculations.

Previously, the endtime-starttime interval being processed by the
`run_as_update` method would shrink by 1 (second) with each recursion.
This ultimately broke `run_as_update` when processing anything other
than 1-second data, but it wasn't obvious because we rarely had to
actually recurse. There is a little trickery now to ensure that user-
provided starttime and endtime are inclusive of the full first
(most recent) update interval, while subsequent, calculated, endtimes
are set equal to the prior starttime minus specified output_interval
(e.g., 'second', 'minute', etc.).

It turns out that none of the factories currently being used in
production expects bytes as input, and in fact, Util.read_url()
converts everthing to a string anyway, so a BYTES-oriented input
would couldn't not possibly be working. So, just remove all use
of BYTESIO, and instead use only STRINGIO.

This is a bandaid to allow the `--input-url` option to be used to
read in single files. It adds zero functionality beyond what already
existed when the `--input-file` option was used.

The original merge request had an extra indentation space that the
black formatter didn't like.

A new FGE+ObsRIO test system is being deployed to Honolulu.
For now, we simply create an entry in Metadata.py so that
variationfiltering can be be applied to these new data. The
calibration parameters are defaults for non-high-latitude
FGE fluxgages.