FT hit efficiency test and API

This MR adds the Moore example options in RecoConf to run the layer masking for the FT, and run the FT Hit efficiency monitor.

Requires Rec!3194 (merged)

@zexu

Hlt/RecoConf/options/FT_hit_efficiency.py

+###############################################################################
+# (c) Copyright 2022 CERN for the benefit of the LHCb Collaboration           #
+#                                                                             #
+# This software is distributed under the terms of the GNU General Public      #
+# Licence version 3 (GPL Version 3), copied verbatim in the file "COPYING".   #
+#                                                                             #
+# In applying this licence, CERN does not waive the privileges and immunities #
+# granted to it by virtue of its status as an Intergovernmental Organization  #
+# or submit itself to any jurisdiction.                                       #
+###############################################################################
+from Moore import options, run_reconstruction
+from Moore.config import Reconstruction
+
+from PyConf.application import make_odin
+
+from RecoConf.hlt1_tracking import make_PrStoreSciFiHits_hits, make_FTRawBankDecoder_clusters
+from RecoConf.hlt2_tracking import make_hlt2_tracks_without_UT
+
+from PyConf.Algorithms import (
+    FTHitEfficiencyMonitor,
+    PrStoreSciFiHits,
+    PrKalmanFilter_noUT,
+    PrKalmanFilter_Velo,
+    PrKalmanFilter_Seed,
+)
+# save output file with histograms
+options.histo_file = (options.getProp("histo_file")
+                      or 'hlt2_FT_hit_efficiency.root')
+
+
+def hit_efficiency_sequence():
+    odin = make_odin()
+    data = [odin]
+
+    for layer_under_study in range(4):  # histograms for the first station
+        with PrKalmanFilter_noUT.bind(FillFitResult=True), \
+            PrKalmanFilter_Seed.bind(FillFitResult=True), \
+            PrKalmanFilter_Velo.bind(FillFitResult=True), \
+            make_PrStoreSciFiHits_hits.bind(disabled_layers=[layer_under_study]):
+
+            hlt2_tracks = make_hlt2_tracks_without_UT(
+                light_reco=True, fast_reco=False, use_pr_kf=True)
+
+            my_enabled_layers = [
+                j not in [layer_under_study] for j in range(12)
+            ]
+            all_FT_pr_hits = PrStoreSciFiHits(
+                HitsLocation=make_FTRawBankDecoder_clusters(),
+                LayerMasks=tuple(my_enabled_layers)).Output
+
+            my_ft_efficiency_alg = FTHitEfficiencyMonitor(
+                name="FTHitEfficiencyLayer{}".format(layer_under_study),
+                TrackLocation=hlt2_tracks["BestLong"]["v1"],
+                PrFTHitsLocation=all_FT_pr_hits,
+                LayerUnderStudy=layer_under_study)
+
+            data += [my_ft_efficiency_alg]
+
+    return Reconstruction('hlt2_hit_eff_reco', data, [])
+
+
+run_reconstruction(options, hit_efficiency_sequence)