Sweep GNTau infrastructure from main to 24.0

This MR sweeps the following individual merge requests from main to 24.0, for the HLT GNTau implementation (ATR-30086):

MR	MR Commit	Affected packages	Comment
!68664 (merged)	283ed54a	tauRec tauRecTools DerivationFrameworkTau WorkflowTestRunner	Main GNTau MR
-	b4ede26f	tauRecTools
!71478 (merged)	c8e18ae8	tauRec tauRecTools DerivationFrameworkPhys DerivationFrameworkTau
-	79c5c3c0	tauRecTools
!72279 (merged)	b1c48d10	tauRecTools
!72768 (merged)	592250f1	tauRecTools
!73302 (merged)	3f68999f	tauRec
!74488 (merged)	bcc209e7	tauRec tauRecTools DerivationFrameworkTau WorkflowTestRunner
!74623 (merged)	eae88857	tauRecTools

Only changes in the tauRec and tauRecTools packages are included.

If anyone has any suggestions on doing this differently, please comment!

Tagging @ademaria, @martindl, @ntamir.

Reconstruction/tauRec/python/TauConfigFlags.py

-# Copyright (C) 2002-2023 CERN for the benefit of the ATLAS collaboration
+# Copyright (C) 2002-2024 CERN for the benefit of the ATLAS collaboration
 
 import unittest
 from AthenaConfiguration.AthConfigFlags import AthConfigFlags
@@ -48,6 +48,7 @@ def createTauConfigFlags():
     tau_cfg.addFlag("Tau.MvaTESConfig", "MvaTES_R23.root")
     tau_cfg.addFlag("Tau.MinPt0p", 9.25*Units.GeV)
     tau_cfg.addFlag("Tau.MinPt", 6.75*Units.GeV)
+    tau_cfg.addFlag("Tau.MinPtDAOD", 13*Units.GeV)
     tau_cfg.addFlag("Tau.TauJetRNNConfig", ["tauid_rnn_1p_R22_v1.json", "tauid_rnn_2p_R22_v1.json", "tauid_rnn_3p_R22_v1.json"])
     tau_cfg.addFlag("Tau.TauJetRNNWPConfig", ["tauid_rnnWP_1p_R22_v0.root", "tauid_rnnWP_2p_R22_v0.root", "tauid_rnnWP_3p_R22_v0.root"])
     tau_cfg.addFlag("Tau.TauEleRNNConfig", ["taueveto_rnn_config_1P_r22.json", "taueveto_rnn_config_3P_r22.json"])
@@ -60,6 +61,25 @@ def createTauConfigFlags():
     # R22 DeepSet tau ID tune without track RNN scores, for now define a second set of flags, but ultimately we'll choose one and drop the other
     tau_cfg.addFlag("Tau.TauJetDeepSetConfig_v2", ["tauid_1p_R22_dpst_noTrackScore.json", "tauid_2p_R22_dpst_noTrackScore.json", "tauid_3p_R22_dpst_noTrackScore.json"])
     tau_cfg.addFlag("Tau.TauJetDeepSetWP_v2", ["model_1p_R22_dpst_noTrackScore.root", "model_2p_R22_dpst_noTrackScore.root", "model_3p_R22_dpst_noTrackScore.root"])
+    # GNTau ID tune file (need to add another version for noAux)
+    tau_cfg.addFlag("Tau.TauGNNConfig", ["GNTau_pruned_MC23.onnx","GNTau_trunc_MC23.onnx"])
+    tau_cfg.addFlag("Tau.TauGNNWP",
+                    [ 
+                        ["GNTauNAprune_flat_model_1p.root", "GNTauNAprune_flat_model_2p.root", "GNTauNAprune_flat_model_3p.root"],
+                        ["GNTauNAtrunc_flat_model_1p.root", "GNTauNAtrunc_flat_model_2p.root", "GNTauNAtrunc_flat_model_3p.root"]
+                    ])
+    tau_cfg.addFlag("Tau.GNTauScoreName", ["GNTauScore_v0prune","GNTauScore_v1trunc"])
+    tau_cfg.addFlag("Tau.GNTauTransScoreName", ["GNTauScoreSigTrans_v0prune","GNTauScoreSigTrans_v1trunc"])
+    tau_cfg.addFlag("Tau.GNTauMaxTracks", [30,10])
+    tau_cfg.addFlag("Tau.GNTauMaxClusters", [20,6])
+    tau_cfg.addFlag("Tau.GNTauNodeNameTau", "GN2TauNoAux_pb")
+    tau_cfg.addFlag("Tau.GNTauNodeNameJet", "GN2TauNoAux_pu")
+    tau_cfg.addFlag("Tau.GNTauDecorWPNames", 
+                    [
+                        ["GNTauVL_v0prune", "GNTauL_v0prune", "GNTauM_v0prune", "GNTauT_v0prune"],
+                        ["GNTauVL_v1trunc", "GNTauL_v1trunc", "GNTauM_v1trunc", "GNTauT_v1trunc"]
+                    ])
+
 
     # PanTau config flags
     from PanTauAlgs.PanTauConfigFlags import createPanTauConfigFlags