Plot horizon distance from ranking statistics

This MR will change the horizon distance plotting program in the DAG: instead of creating one horizon distance plot from reference PSDs, the new program create the horizon distance from the ranking statistic for each template bank bin. The main changes that affect the DAG workflow are summarized below:

• gstlal_inspiral_pipe: change plotting program from gstlal_plot_psd_horizon to gstlal_inspiral_plot_rankingstats_horizon (previously called gstlal_inspiral_plot_psd_horizon which does not accurately describe what it actually does, also see miscellaneous changes below).
• inspiral.py: update the horizon_dist_layer for the new plotting program.
• gstlal_inspiral_summary_page: horizon distances plots are put inside a new UI component (report.ImagePagination) so that all the plots will not be fetched at the same time and can be paginated.
• make the above changes to new style DAG workflow as well.

Miscellaneous changes:

• add new plotting module called horizon.py
• update the gstlal_plot_psd_horizon to use horizon.py module,
• renamed gstlal_inspiral_plot_psd_horizon --> gstlal_inspiral_plot_rankingstats_horizon

Note: this MR depends on gstlal-visualisation/ligo-scald!36 (merged), it's better not to merged before that request has been merged.

gstlal/python/pipeparts/source.py

 """Module for producing source elements
 
 """
+import pathlib
 import sys
-from typing import List, Tuple
+from typing import List, Tuple, Union, Iterable, Optional
 
 from ligo import segments
 
-from gstlal.pipeparts import pipetools, transform, filters
+from gstlal.pipeparts import pipetools, transform, filters, mux
+from gstlal.utilities import laltools
 
 BYTE_ORDER = 'LE' if sys.byteorder == "little" else 'BE'
 
@@ -355,3 +357,35 @@ def fake(pipeline: pipetools.Pipeline, instrument: str, channel_name: str, block
 								   volume=volume, is_live=is_live, **properties),
 						"audio/x-raw, format=F64%s, rate=%d".format(BYTE_ORDER, rate))
 	return transform.tag_inject(pipeline, caps, "instrument=%s,channel-name=%s,units=strain".format(instrument, channel_name))
+
+
+def files(pipeline: pipetools.Pipeline, paths: Iterable[Union[str, pathlib.Path]], instrument: str, channel_name: str,
+		  cache_path: Optional[Union[str, pathlib.Path]] = None) -> pipetools.Element:
+	"""Create a source from a list of file paths
+
+	Args:
+		pipeline:
+			Gst.Pipeline, the pipeline to which the new element will be added
+		paths:
+			Iterable[Path or str], the full paths to the frame files
+		cache_path:
+			Path or str, default None, the path to write out the cache file if specified, else write to temporary directory
+
+	Notes:
+		This is a convenience utility around cache source and framecppdemux that creates a cache file
+		from a list of file paths
+
+	Returns:
+		Element
+	"""
+	cache_path = laltools.create_cache(entries=paths, cache_path=cache_path)
+	src = cache(pipeline, location=cache_path.as_posix())
+
+	demux = mux.framecpp_channel_demux(pipeline, src, do_file_checksum=False, channel_list=["%s:%s".format(instrument, channel_name)])
+	mux.FrameCPPChannelDemuxSetUnitsHandler(demux, dict.fromkeys(demux.get_property("channel-list"), "strain"))
+
+	# allow frame reading and decoding to occur in a different thread
+	src = transform.queue(pipeline, None, max_size_buffers=0, max_size_bytes=0, max_size_time=8 * pipetools.Gst.SECOND)
+	SrcDeferredLink(demux, "%s:%s".format(instrument, channel_name), src.get_static_pad("sink"))
+
+	return src