Merge lp:~francois-drielsma/maus/maus into lp:maus

[François Drielsma]

Cpp reducers
EMR geometry map
Test fixes
New calibration
Minor bug fixes

[Adam Dobbs (ajdobbs)]

I notice there have been some changes to single_thread.py (below), could you tell me what they are for please? Thanks

=== modified file 'src/common_py/framework/single_thread.py'
--- src/common_py/framework/single_thread.py 2015-10-26 06:11:13 +0000
+++ src/common_py/framework/single_thread.py 2015-11-17 17:17:09 +0000
@@ -170,6 +170,7 @@

         # process spills
         # check for run number change and process an end-of-run spill if changed
+ redevent = None
         if evtype == "Spill":
             if event_json is None:
                 current_run_number = event.GetSpill().GetRunNumber()
@@ -189,9 +190,13 @@
                 self.run_number = current_run_number
             # now transform the event and reduce it
             event = self.transformer.process(event)
- self.merger.process(event)
+ redevent = self.merger.process(event)
         # done with tranform-merge, now write it out
- self.outputer.save(event)
+ self.outputer.save(redevent)
+ try:
+ del redevent
+ except: # pylint: disable = W0702
+ pass
         # if we converted to a different representation, delete the old one
         try:
             maus_cpp.converter.del_data_repr(event)

review: Needs Information

[Adam Dobbs (ajdobbs)]

Thanks for the update Durga. Just spotted another issue, some debug screen output has been left on:

RunNum = 7417
TRANSFORM/MERGE/OUTPUT: Processed 1354 events so far, 1 events in buffer.
TRANSFORM/MERGE/OUTPUT: Processed 1355 events so far, 1 events in buffer.
TRANSFORM/MERGE/OUTPUT: Processed 1356 events so far, 1 events in buffer.
RunNum = 7417

If you can tell me where the 'RunNum =' comment is coming from I will fix it myself to save going through a merge again.

review: Needs Fixing

[François Drielsma (francois-drielsma)]

Hello Adam,

I located it but it was commented out:

grep -Re "RunNum =" src/
*src/map/MapCppTOFSpacePoints/MapCppTOFSpacePoints.cc: // std::cerr <<
"RunNum = " << runNumber << std::endl;*

Best regards,
François

2015-11-18 11:46 GMT+00:00 Adam Dobbs <email address hidden>:

> Review: Needs Fixing
>
> Thanks for the update Durga. Just spotted another issue, some debug
> screen output has been left on:
>
> RunNum = 7417
> TRANSFORM/MERGE/OUTPUT: Processed 1354 events so far, 1 events in buffer.
> TRANSFORM/MERGE/OUTPUT: Processed 1355 events so far, 1 events in buffer.
> TRANSFORM/MERGE/OUTPUT: Processed 1356 events so far, 1 events in buffer.
> RunNum = 7417
>
> If you can tell me where the 'RunNum =' comment is coming from I will fix
> it myself to save going through a merge again.
>
> --
> https://code.launchpad.net/~francois-drielsma/maus/maus/+merge/277388
> You are the owner of lp:~francois-drielsma/maus/maus.
>

[Adam Dobbs (ajdobbs)]

Thanks Francois. I just removed that line completely and rebuilt, but the problem remains. Any other thoughts?

[Adam Dobbs (ajdobbs)]

Found it - a cerr had been left in MapCppTOFDigits. Now fixed.

[François Drielsma (francois-drielsma)]

Thanks Adam !
On Nov 18, 2015 2:39 PM, "Adam Dobbs" <email address hidden> wrote:

> Found it - a cerr had been left in MapCppTOFDigits. Now fixed.
> --
> https://code.launchpad.net/~francois-drielsma/maus/maus/+merge/277388
> You are the owner of lp:~francois-drielsma/maus/maus.
>

[Adam Dobbs (ajdobbs)]

All seems good now. Pushed to merge branch.

review: Approve

[lp:~francois-drielsma/maus/maus]

768. By François Drielsma on 2015-11-19

EMRMCDigitization 2.1, MC path length, bug fixes

=== modified file 'bin/online/reconstruct_daq_emr_reducer.py'
--- bin/online/reconstruct_daq_emr_reducer.py	2015-07-16 16:14:51 +0000
+++ bin/online/reconstruct_daq_emr_reducer.py	2015-11-19 15:24:36 +0000
@@ -26,12 +26,9 @@
     # setting it to false/0 will cause canvases to pop up on screen and 
     # will get refreshed every N spills set by the refresh_rate data
     # card. 
-    data_cards_list.append("root_batch_mode='%d'\n" % 1)
+    data_cards_list.append("root_batch_mode=%d\n" % 1)
     # refresh_rate = once in how many spills should canvases be updated
-    data_cards_list.append("refresh_rate='%d'\n" % 5)
-    # enable_pid_recon = should the pid variables be reconstrcuted, slower
-    enable_pid_recon = 1
-    data_cards_list.append("enable_pid_recon='%d'\n" % enable_pid_recon)
+    data_cards_list.append("refresh_rate=%d\n" % 5)
     # Add auto-numbering to the image tags. If False then each
     # histogram output for successive spills will have the same tag
     # so there are no spill-specific histograms. This is the
@@ -50,24 +47,23 @@
 
     # Set up the input that reads from DAQ
 #    my_input = MAUS.InputCppDAQData()
-#    my_input = MAUS.InputCppDAQOfflineData()
-    my_input = MAUS.InputCppDAQOnlineData() # pylint: disable = E1101
+    my_input = MAUS.InputCppDAQOfflineData()
+#    my_input = MAUS.InputCppDAQOnlineData() # pylint: disable = E1101
  
     # Create an empty array of mappers, then populate it
     # with the functionality you want to use.
     my_map = MAUS.MapPyGroup()
-    my_map.append(MAUS.MapPyReconSetup())
+    my_map.append(MAUS.MapCppReconSetup())
     my_map.append(MAUS.MapCppEMRPlaneHits())
-    if enable_pid_recon:
-        my_map.append(MAUS.MapCppEMRRecon())
+    my_map.append(MAUS.MapCppEMRRecon())
 
     # Histogram reducer.
     #reducer = MAUS.ReducePyDoNothing()
-    reducer = MAUS.ReducePyEMRPlot()
+    reducer = MAUS.ReduceCppEMRPlot()
 
-    # Save images as EPS and meta-data as JSON.
+    # Save images as eps and meta-data as JSON.
     #output_worker = MAUS.OutputPyDoNothing()
-    output_worker = MAUS.OutputPyImage()
+    output_worker = MAUS.OutputPyRootImage()
 
     # Run the workflow.
     MAUS.Go(my_input, my_map, reducer, output_worker, data_cards) 

=== modified file 'bin/online/reconstruct_daq_tof_reducer.py'
--- bin/online/reconstruct_daq_tof_reducer.py	2015-07-15 20:39:09 +0000
+++ bin/online/reconstruct_daq_tof_reducer.py	2015-11-19 15:24:36 +0000
@@ -47,12 +47,13 @@
 
     # Set up the input that reads from DAQ
 #    my_input = MAUS.InputCppDAQData()
-#    my_input = MAUS.InputCppDAQOnlineData()
+#    my_input = MAUS.InputCppDAQOfflineData()
     my_input = MAUS.InputCppDAQOnlineData() # pylint: disable = E1101
 
     # Create an empty array of mappers, then populate it
     # with the functionality you want to use.
     my_map = MAUS.MapPyGroup()
+    my_map.append(MAUS.MapCppReconSetup())
     my_map.append(MAUS.MapCppTOFDigits())
     my_map.append(MAUS.MapCppTOFSlabHits())
     my_map.append(MAUS.MapCppTOFSpacePoints())

=== added file 'files/calibration/emrcalib_cosmics_july2015.txt'
--- files/calibration/emrcalib_cosmics_july2015.txt	1970-01-01 00:00:00 +0000
+++ files/calibration/emrcalib_cosmics_july2015.txt	2015-11-19 15:24:36 +0000
@@ -0,0 +1,11541 @@
+MA median -1 -1 100.171
+SA median -1 -1 99.840
+MA mean -1 -1 101.312
+SA mean -1 -1 106.689
+
+MA median 0 -1 1.328
+MA median 1 -1 0.956
+MA median 2 -1 0.995
+MA median 3 -1 0.613
+MA median 4 -1 0.851
+MA median 5 -1 1.042
+MA median 6 -1 1.163
+MA median 7 -1 1.349
+MA median 8 -1 0.937
+MA median 9 -1 1.120
+MA median 10 -1 1.090
+MA median 11 -1 0.818
+MA median 12 -1 1.038
+MA median 13 -1 0.692
+MA median 14 -1 1.482
+MA median 15 -1 1.168
+MA median 16 -1 0.929
+MA median 17 -1 1.005
+MA median 18 -1 0.778
+MA median 19 -1 1.105
+MA median 20 -1 1.303
+MA median 21 -1 1.424
+MA median 22 -1 0.750
+MA median 23 -1 1.043
+MA median 24 -1 0.706
+MA median 25 -1 0.576
+MA median 26 -1 0.859
+MA median 27 -1 1.457
+MA median 28 -1 1.572
+MA median 29 -1 1.337
+MA median 30 -1 1.166
+MA median 31 -1 0.898
+MA median 32 -1 1.433
+MA median 33 -1 1.096
+MA median 34 -1 1.378
+MA median 35 -1 0.644
+MA median 36 -1 0.771
+MA median 37 -1 0.850
+MA median 38 -1 1.126
+MA median 39 -1 0.749
+MA median 40 -1 0.592
+MA median 41 -1 0.698
+MA median 42 -1 0.869
+MA median 43 -1 0.899
+MA median 44 -1 0.572
+MA median 45 -1 0.678
+MA median 46 -1 0.873
+MA median 47 -1 1.222
+
+
+SA median 0 -1 0.847
+SA median 1 -1 0.571
+SA median 2 -1 0.959
+SA median 3 -1 0.911
+SA median 4 -1 1.233
+SA median 5 -1 1.009
+SA median 6 -1 0.729
+SA median 7 -1 0.647
+SA median 8 -1 0.867
+SA median 9 -1 0.717
+SA median 10 -1 0.853
+SA median 11 -1 0.911
+SA median 12 -1 1.255
+SA median 13 -1 1.174
+SA median 14 -1 0.940
+SA median 15 -1 1.086
+SA median 16 -1 1.163
+SA median 17 -1 0.867
+SA median 18 -1 0.997
+SA median 19 -1 0.791
+SA median 20 -1 0.732
+SA median 21 -1 0.662
+SA median 22 -1 1.120
+SA median 23 -1 0.710
+SA median 24 -1 1.010
+SA median 25 -1 1.245
+SA median 26 -1 1.275
+SA median 27 -1 0.675
+SA median 28 -1 0.803
+SA median 29 -1 1.004
+SA median 30 -1 1.221
+SA median 31 -1 0.996
+SA median 32 -1 0.748
+SA median 33 -1 0.821
+SA median 34 -1 1.052
+SA median 35 -1 1.152
+SA median 36 -1 0.845
+SA median 37 -1 1.250
+SA median 38 -1 1.196
+SA median 39 -1 1.430
+SA median 40 -1 1.629
+SA median 41 -1 0.990
+SA median 42 -1 0.970
+SA median 43 -1 0.967
+SA median 44 -1 1.236
+SA median 45 -1 1.235
+SA median 46 -1 1.591
+SA median 47 -1 0.911
+
+
+MA mean 0 -1 1.300
+MA mean 1 -1 0.951
+MA mean 2 -1 1.004
+MA mean 3 -1 0.631
+MA mean 4 -1 0.866
+MA mean 5 -1 1.027
+MA mean 6 -1 1.153
+MA mean 7 -1 1.300
+MA mean 8 -1 0.958
+MA mean 9 -1 1.081
+MA mean 10 -1 1.092
+MA mean 11 -1 0.822
+MA mean 12 -1 1.054
+MA mean 13 -1 0.710
+MA mean 14 -1 1.434
+MA mean 15 -1 1.151
+MA mean 16 -1 0.949
+MA mean 17 -1 0.999
+MA mean 18 -1 0.825
+MA mean 19 -1 1.092
+MA mean 20 -1 1.290
+MA mean 21 -1 1.359
+MA mean 22 -1 0.799
+MA mean 23 -1 1.032
+MA mean 24 -1 0.737
+MA mean 25 -1 0.611
+MA mean 26 -1 0.898
+MA mean 27 -1 1.383
+MA mean 28 -1 1.522
+MA mean 29 -1 1.286
+MA mean 30 -1 1.184
+MA mean 31 -1 0.896
+MA mean 32 -1 1.420
+MA mean 33 -1 1.080
+MA mean 34 -1 1.362
+MA mean 35 -1 0.656
+MA mean 36 -1 0.817
+MA mean 37 -1 0.851
+MA mean 38 -1 1.132
+MA mean 39 -1 0.771
+MA mean 40 -1 0.644
+MA mean 41 -1 0.721
+MA mean 42 -1 0.886
+MA mean 43 -1 0.890
+MA mean 44 -1 0.615
+MA mean 45 -1 0.687
+MA mean 46 -1 0.882
+MA mean 47 -1 1.190
+
+
+SA mean 0 -1 0.844
+SA mean 1 -1 0.563
+SA mean 2 -1 0.946
+SA mean 3 -1 0.895
+SA mean 4 -1 1.244
+SA mean 5 -1 0.990
+SA mean 6 -1 0.732
+SA mean 7 -1 0.633
+SA mean 8 -1 0.878
+SA mean 9 -1 0.701
+SA mean 10 -1 0.841
+SA mean 11 -1 0.891
+SA mean 12 -1 1.270
+SA mean 13 -1 1.171
+SA mean 14 -1 1.008
+SA mean 15 -1 1.070
+SA mean 16 -1 1.186
+SA mean 17 -1 0.858
+SA mean 18 -1 1.025
+SA mean 19 -1 0.782
+SA mean 20 -1 0.752
+SA mean 21 -1 0.649
+SA mean 22 -1 1.144
+SA mean 23 -1 0.692
+SA mean 24 -1 1.043
+SA mean 25 -1 1.225
+SA mean 26 -1 1.312
+SA mean 27 -1 0.653
+SA mean 28 -1 0.812
+SA mean 29 -1 0.975
+SA mean 30 -1 1.246
+SA mean 31 -1 0.975
+SA mean 32 -1 0.751
+SA mean 33 -1 0.813
+SA mean 34 -1 1.052
+SA mean 35 -1 1.153
+SA mean 36 -1 0.881
+SA mean 37 -1 1.233
+SA mean 38 -1 1.219
+SA mean 39 -1 1.410
+SA mean 40 -1 1.649
+SA mean 41 -1 0.973
+SA mean 42 -1 0.976
+SA mean 43 -1 0.948
+SA mean 44 -1 1.255
+SA mean 45 -1 1.211
+SA mean 46 -1 1.592
+SA mean 47 -1 0.882
+
+
+MA median 0 1 1.172
+MA median 0 2 0.770
+MA median 0 3 0.914
+MA median 0 4 1.159
+MA median 0 5 0.975
+MA median 0 6 1.166
+MA median 0 7 1.428
+MA median 0 8 1.283
+MA median 0 9 1.137
+MA median 0 10 1.192
+MA median 0 11 1.072
+MA median 0 12 1.159
+MA median 0 13 1.204
+MA median 0 14 1.524
+MA median 0 15 1.480
+MA median 0 16 1.297
+MA median 0 17 1.113
+MA median 0 18 1.234
+MA median 0 19 1.299
+MA median 0 20 1.293
+MA median 0 21 1.272
+MA median 0 22 1.565
+MA median 0 23 1.511
+MA median 0 24 1.377
+MA median 0 25 1.195
+MA median 0 26 0.856
+MA median 0 27 1.071
+MA median 0 28 1.194
+MA median 0 29 1.514
+MA median 0 30 1.740
+MA median 0 31 1.344
+MA median 0 32 1.426
+MA median 0 33 1.277
+MA median 0 34 1.358
+MA median 0 35 1.348
+MA median 0 36 1.388
+MA median 0 37 1.645
+MA median 0 38 1.604
+MA median 0 39 1.344
+MA median 0 40 1.343
+MA median 0 41 1.498
+MA median 0 42 1.298
+MA median 0 43 1.324
+MA median 0 44 1.336
+MA median 0 45 1.640
+MA median 0 46 1.274
+MA median 0 47 1.561
+MA median 0 48 1.728
+MA median 0 49 1.580
+MA median 0 50 1.451
+MA median 0 51 1.540
+MA median 0 52 1.456
+MA median 0 53 1.409
+MA median 0 54 1.016
+MA median 0 55 1.320
+MA median 0 56 0.966
+MA median 0 57 1.310
+MA median 0 58 1.216
+MA median 0 59 1.170
+MA median 1 1 0.694
+MA median 1 2 0.746
+MA median 1 3 0.533
+MA median 1 4 0.531
+MA median 1 5 0.665
+MA median 1 6 0.800
+MA median 1 7 1.128
+MA median 1 8 0.855
+MA median 1 9 0.866
+MA median 1 10 0.764
+MA median 1 11 0.683
+MA median 1 12 0.830
+MA median 1 13 0.752
+MA median 1 14 1.089
+MA median 1 15 1.117
+MA median 1 16 0.970
+MA median 1 17 0.851
+MA median 1 18 1.045
+MA median 1 19 1.094
+MA median 1 20 0.928
+MA median 1 21 0.929
+MA median 1 22 1.202
+MA median 1 23 1.154
+MA median 1 24 1.069
+MA median 1 25 0.899
+MA median 1 26 0.881
+MA median 1 27 0.628
+MA median 1 28 0.921
+MA median 1 29 1.069
+MA median 1 30 1.231
+MA median 1 31 1.024
+MA median 1 32 0.967
+MA median 1 33 0.985
+MA median 1 34 0.949
+MA median 1 35 0.883
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+MA median 1 38 1.049
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+MA median 1 40 0.958
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+MA median 1 42 1.028
+MA median 1 43 1.006
+MA median 1 44 0.915
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+MA median 1 47 1.173
+MA median 1 48 1.380
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+MA median 1 50 1.153
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+MA median 1 52 1.239
+MA median 1 53 1.083
+MA median 1 54 0.874
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+MA median 1 56 1.067
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+MA median 1 58 0.890
+MA median 1 59 0.964
+MA median 2 1 0.878
+MA median 2 2 0.836
+MA median 2 3 0.771
+MA median 2 4 0.829
+MA median 2 5 0.868
+MA median 2 6 1.020
+MA median 2 7 1.130
+MA median 2 8 0.859
+MA median 2 9 0.855
+MA median 2 10 0.728
+MA median 2 11 0.904
+MA median 2 12 0.866
+MA median 2 13 1.034
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+MA median 2 15 1.124
+MA median 2 16 0.939
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+MA median 2 20 0.925
+MA median 2 21 0.933
+MA median 2 22 1.167
+MA median 2 23 1.285
+MA median 2 24 0.840
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+MA median 2 26 0.841
+MA median 2 27 0.809
+MA median 2 28 1.044
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+MA median 2 36 1.116
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+MA median 2 47 1.180
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+MA median 2 59 0.863
+MA median 3 1 0.487
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+MA median 3 21 0.674
+MA median 3 22 0.658
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+MA median 3 25 0.469
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+MA median 3 58 0.471
+MA median 3 59 0.697
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+MA median 4 3 0.673
+MA median 4 4 0.672
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+MA median 4 15 0.785
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+MA median 4 17 0.695
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+MA median 4 22 1.062
+MA median 4 23 1.046
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+MA median 4 31 0.737
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+MA median 4 34 0.924
+MA median 4 35 0.837
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+MA median 4 39 1.010
+MA median 4 40 0.941
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+MA median 4 43 0.956
+MA median 4 44 0.946
+MA median 4 45 0.851
+MA median 4 46 0.713
+MA median 4 47 1.134
+MA median 4 48 1.022
+MA median 4 49 1.101
+MA median 4 50 0.987
+MA median 4 51 0.928
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+MA median 4 54 0.642
+MA median 4 55 0.845
+MA median 4 56 0.693
+MA median 4 57 0.732
+MA median 4 58 0.748
+MA median 4 59 0.760
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+MA median 5 2 0.874
+MA median 5 3 0.713
+MA median 5 4 0.844
+MA median 5 5 0.880
+MA median 5 6 1.058
+MA median 5 7 1.139
+MA median 5 8 0.963
+MA median 5 9 0.961
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+MA median 5 11 0.994
+MA median 5 12 1.012
+MA median 5 13 1.160
+MA median 5 14 1.214
+MA median 5 15 0.908
+MA median 5 16 0.898
+MA median 5 17 0.706
+MA median 5 18 0.888
+MA median 5 19 1.001
+MA median 5 20 0.971
+MA median 5 21 1.165
+MA median 5 22 1.136
+MA median 5 23 1.243
+MA median 5 24 0.987
+MA median 5 25 1.218
+MA median 5 26 1.170
+MA median 5 27 0.957
+MA median 5 28 1.042
+MA median 5 29 1.113
+MA median 5 30 1.096
+MA median 5 31 0.999
+MA median 5 32 1.200
+MA median 5 33 1.009
+MA median 5 34 0.983
+MA median 5 35 0.987
+MA median 5 36 0.935
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