README.md

 
 ![Plot Seq 1](doc/do_td_plot.png)
 
+Print a specific pitch and take.
+
 ````
-    python plot_seq.py ~/temp/p_ac_3_od p_ac.yml 60 10
+    python plot_seq.py p_ac.yml ~/temp/p_ac_3_of td_plot 60 2
     
     do_td_plot(inDir,cfg.analysisArgs, pitch, take_id )
 ````
 
 ![Multi Usec dB](doc/us_db.png)
 
+Plot all the takes for a given pitch
+
 ````
 python plot_seq_1.py p_ac.yml ~/temp/p_ac_3_od us_db 84
 ````
 
+---
+
+![Overlapping USec dB](doc/us_db_takes.png)
+
+Plot a specific set of pitches and takes.
+
+````
+python plot_seq_1.py p_ac.yml ~/temp/p_ac_3_of us_db_pitch_take 75 0 76 0 77 0 78 0 72 10 73 1 74 1
+````
+
+---
+
+![Overlapping USec dB](doc/us_db_takes_last.png)
+
+Plot the last take from a list of pitches.
+
+````
+python plot_seq_1.py p_ac.yml ~/temp/p_ac_3_of us_db_pitch_last 77 78 79 80
+````
+
 
 ---
 
 ![Multi Plot 1](doc/multi_plot.png)
 
+Plot the time domain envelope for a specific set of pitches and takes.
+
 ````
 python plot_seq.py p_ac.yml ~/temp/p_ac_3_od td_multi_plot 60 3 60 4 60 5
 
 
 ![Spectral Ranges](doc/plot_spectral_ranges.png)
 
+Plot the spectrum with harmonic location markers of a specific set of pitches and takes.
+
 ````
 #                                                                 pitch0 takeId0 pitch1 takeId1
 python plot_seq.py p_ac.yml ~/temp/p_ac_3_od plot_spectral_ranges   60      3       60      4
 
 ![Usec dB Spread](doc/us_db_map.png)
 
+Plot the microsecond variance to achieve a given decibel value.
+
 ````
 python plot_seq_1.py p_ac.yml ~/temp/p_ac_3_od us_db_map 84 72
 ````
 
 ---
 
+![Resample](doc/resample_pulse_times.png)
+
+Analyze all takes for given pitch and show the mean us/db curve and
+places where resampling may be necessary.
+
+````
+python plot_seq.py p_ac.yml ~/temp/p_ac_3_of resample_pulse_times 84
+````
+
+
+---
+
 ![Min Max](doc/min_max_db.png)
 
+Plot the min and max decibel values for specified pitches.
+
 ````
 python plot_seq_1.py p_ac.yml ~/temp/p_ac_3_od min_max 36 48 60 72 84
 ````
 
 ![Min Max 2](doc/min_max_db_2.png)
 
+Plot the min and max decibel values for specified pitches.
+
 ````
 #                                                        pitch0 pitch1 pitch2 pitch3 pitch4 takeId
 python plot_seq_1.py p_ac.yml ~/temp/p_ac_3_od min_max_2   36     48      60     72     84     2
 ---
 ![Manual dB](doc/manual_db.png)
 
+Plot the min and max decibel values for specified set of manually corrected pitches.
+
+
 ````
 python plot_seq_1.py p_ac.yml ~/temp/p_ac_3_od manual_db
 ````

p_ac.py

         self.eventTimeL = [[0,0]  for _ in range(len(pulseUsL))] # initialize the event time         
         self.beginMs    = ms
         self.playOnlyFl = playOnlyFl
-
-
+                    
         # kpl if not playOnlyFl:
         self.audio.record_enable(True)   # start recording audio
+
+        print("Hold Delay from end of attack:",cfg.defaultHoldDelayUsecs)                    
+        self.api.set_hold_delay(pitch,cfg.defaultHoldDelayUsecs)
         
         self.tick(ms)                    # play the first note
         
         
     def _get_duty_cycle( self, pulseUsec ):
         return self.holdDutyPctD[ pulseUsec ]
-    
-        dutyPct = self.holdDutyPctL[0][1]
-        for refUsec,refDuty in self.holdDutyPctL:
-            if pulseUsec < refUsec:
-                break
-            dutyPct = refDuty
-
-        return dutyPct
             
     def _set_duty_cycle( self, pitch, pulseUsec ):
 
+        
         dutyPct = self._get_duty_cycle( pulseUsec )
 
         if dutyPct != self.prevHoldDutyPct:
                 #self.pulseUsL,_,_ = form_resample_pulse_time_list( outDir, self.cfg.analysisArgs )
                 self.pulseUsL = get_resample_points_wrap( baseDir, pitch, self.cfg.analysisArgs )
 
+
             holdDutyPctL = self.cfg.calibrateArgs['holdDutyPctD'][pitch]
             
+            
             if playOnlyFl:
-                self.pulseUsL,_,holdDutyPctL = form_final_pulse_list( outDir,  pitch,  self.cfg.analysisArgs, take_id=None )
+
+                self.pulseUsL,_,holdDutyPctL = form_final_pulse_list( baseDir,  pitch,  self.cfg.analysisArgs, take_id=None )
 
                 noteN = cfg.analysisArgs['auditionNoteN']
                 self.pulseUsL   = [ self.pulseUsL[ int(round(i*126.0/(noteN-1)))] for i in range(noteN) ]
 
+                
             else:
                 outDir = os.path.join( outDir, str(outDir_id) )
 
                 self.audio_dev_list(0)
             
         else:
+            print("The cfg file has no audio stanza. No audio device will be initialized.")
             self.audioDev = None
 
         if True:
                 self.calibrate = None #Calibrate( cfg.calibrateArgs, self.audioDev, self.midiDev, self.api )
 
                 self.midiFilePlayer = MidiFilePlayer( cfg, self.api, self.midiDev, cfg.midiFileFn )
-    
+
         return res
 
     def tick( self, ms ):
             self.midiFilePlayer.tick(ms)
 
     def audio_dev_list( self, ms ):
-        portL = self.audioDev.get_port_list( True )
-
-        for port in portL:
-            print("chs:%4i label:%s" % (port['chN'],port['label']))
 
+        if self.audioDev is not None:
+            portL = self.audioDev.get_port_list( True )
+        
+            for port in portL:
+                print("chs:%4i label:%s" % (port['chN'],port['label']))
+        
     def midi_dev_list( self, ms ):
         d = self.midiDev.get_port_list( True )
 
         self.cal_keys.start(  ms, pitchL, cfg.full_pulseL )
 
     def play_keys_start( self, ms, pitchRangeL ):
-        chordL = [ [pitch]  for pitch in range(pitchRangeL[0], pitchRangeL[1]+1)]
+        chordL = [ pitch  for pitch in range(pitchRangeL[0], pitchRangeL[1]+1)]
         self.cal_keys.start(  ms, chordL, cfg.full_pulseL, playOnlyFl=True )
 
     def keyboard_start_pulse_idx( self, ms, argL ):
     return ap.parse_args()
     
             
-    
+def create_logger():
+    import multiprocessing, logging
+    logger = multiprocessing.get_logger()
+    logger.setLevel(logging.INFO)
+    formatter = logging.Formatter(\
+        '[%(asctime)s| %(levelname)s| %(processName)s] %(message)s')
+    handler = logging.FileHandler('/home/kevin/temp/p_ac_log.txt')
+    handler.setFormatter(formatter)
+
+    # this bit will make sure you won't have 
+    # duplicated messages in the output
+    if not len(logger.handlers): 
+        logger.addHandler(handler)
+    return logger
+
 if __name__ == "__main__":
+
+
+    from multiprocessing import Pool
+    logger = create_logger()
+    logger.info('Starting pooling')
+    #p = Pool()
     
-    logging.basicConfig()
+    #logging.basicConfig()
 
     #mplog = multiprocessing.log_to_stderr()
     #mplog.setLevel(logging.INFO)

p_ac.yml

     prescaler_usec: 16,
     pwm_div: 5,
     serial_sync_timeout_ms: 10000,
-
+    
 
     # MeasureSeq args
-    outDir: "~/temp/p_ac_3_oe",
+    outDir: "~/temp/p_ac_3_of",
     noteDurMs: 500,
     pauseDurMs: 500,
     reversePulseListFl: True,
     silentNoteMaxPulseUs: 15000,
     silentNoteMinDurMs: 180, #250,
 
+    defaultHoldDelayUsecs: 1000,
+
     # Midi file player
     midiFileFn: "/home/kevin/media/audio/midi/txt/round4.txt",
     
 
     full_pulse20L: [  1000, 1250, 1500, 1750, 2000, 2250, 2500, 2750, 3000, 3250, 3500, 3750, 4000, 4250, 4500, 4750, 5000, 5250, 5500, 5750, 6000, 6250, 6500, 6750, 7000, 7250, 7500, 7750, 8000, 8250, 8500, 8750, 9000, 9250, 9500, 9750, 10000, 10250, 10500, 10750, 11000, 11250, 11500, 11750, 12000, 12250, 12500, 12750, 13000, 13500, 14000, 14500, 15000, 15500 ],
 
-    # 60,72
     full_pulse21L: [  1000, 1250, 1500, 1750, 2000, 2250, 2500, 2750, 3000, 3250, 3500, 3750, 4000, 4500, 5000, 5500, 6000, 6500, 7000, 7500, 8000, 8500, 9000, 10000, 11000, 12000, 13000, 14000, 15000, 16000, 17000, 18000, 19000 ],
 
-    # 48,36,85
     full_pulse22L: [  3500, 3750, 4000, 4250, 4500, 4750, 5000, 5250, 5500, 5750, 6000, 6250, 6500, 6750, 7000, 7500, 8000, 8500, 9000, 9500, 10000, 10500, 11000, 12000, 12500, 13000, 14000, 15000, 16000, 17000, 18000, 19000 ],
 
-    # 84
-    full_pulseL: [  2000, 2250, 2500,2750, 3000, 3250, 3500, 3750, 4000, 4250, 4500, 4750, 5000, 5250, 5500, 5750, 6000, 6250, 6500, 6750, 7000, 7500, 8000, 8500, 9000, 9500, 10000, 10500, 11000, 12000, 12500, 13000, 14000, 15000, 16000  ],
+    # 60,72,84    
+    full_pulseL: [  2000, 2250, 2500,2750, 3000, 3250, 3500, 3750, 4000, 4250, 4500, 4750, 5000, 5250, 5500, 5750, 6000, 6250, 6500, 6750, 7000, 7500, 8000, 8500, 9000, 9500, 10000, 10500, 11000, 11500, 12000, 12500, 13000, 14000, 15000, 16000, 17000, 18000, 19000, 20000, 22000  ],
 
     # RMS analysis args
     analysisArgs: {
           minMeasDurMs: 140,             # minimum candidate note duration
           tolDbPct: 2.0,                 # tolerance as a percent of targetDb above/below used to form match db window
           maxPulseUs: 45000,             # max. allowable pulse us
-          minPulseUs:  8000,             # min. allowable pulse us
+          minPulseUs:  2000,             # min. allowable pulse us
           initPulseUs: 15000,            # pulseUs for first note
           minMatchN: 3,                  # at least 3 candidate notes must be within tolDbPct to move on to a new targetDb
           maxAttemptN: 30,               # give up if more than 20 candidate notes fail for a given targetDb
           33: [[0, 40]],
           34: [[0, 40]],
           35: [[0, 40]],
-          36: [[0, 45]],
+          36: [[0, 40]],
           37: [[0, 40]],
           38: [[0, 40]],
           39: [[0, 40]],
           56: [[0, 40]],
           57: [[0, 40]],
           58: [[0, 40]],
-          59: [[0, 40]],
-          60: [[0, 50]],
-          61: [[0, 43]],
-          62: [[0, 43]],
-          63: [[0, 43]],
-          64: [[0, 40],[14000, 45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
+          59: [[0, 45]],
+          60: [[0, 40],[10000,50]],
+          61: [[0, 40],[10000,50]],
+          62: [[0, 40],[10000,50]],
+          63: [[0, 40],[10000,50]],
+          64: [[0, 40],[10000,50]],
           65: [[0, 99]],              
           66: [[0, 40]],
           67: [[0, 40],[14000, 45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
           69: [[0, 40],[14000, 45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
           70: [[0, 40],[14000, 45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
           71: [[0, 40],[14000, 45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
-          72: [[0, 45],[11000, 65] ],
-          73: [[0, 45],[14000,45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
-          74: [[0, 40],[14000,45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
-          75: [[0, 40],[14000,45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
-          76: [[0, 40],[14000,45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
-          77: [[0, 40],[14000,45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
-          78: [[0, 40],[14000,45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
-          79: [[0, 40],[14000,45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
-          80: [[0, 40],[14000,45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
-          81: [[0, 40],[14000,45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
-          82: [[0, 40],[14000,45],[15000,50],[16000,55],[17000,60],[18000,65],[19000,55]],
-          83: [[0, 42]],
-          84: [[0, 42],[10000,50],[11000,60]], 
-          85: [[0, 42],[9000,45],[10000,50],[11000,60]],
+          72: [[0, 42],[8000,44],[9000,46],[10000, 48],[11000,50],[12000,52],[13000,54],[14000,56],[15000,58],[16000,60],[17000,60],[18000,60],[19000,60],[20000,60] ],
+          73: [[0, 42],[8000,44],[9000,46],[10000, 48],[11000,50],[12000,52],[13000,54],[14000,56],[15000,58],[16000,60],[17000,60],[18000,60],[19000,60],[20000,60] ],
+          74: [[0, 42],[8000,44],[9000,46],[10000, 48],[11000,50],[12000,52],[13000,54],[14000,56],[15000,58],[16000,60],[17000,60],[18000,60],[19000,60],[20000,60] ],
+          75: [[0, 42],[8000,44],[9000,46],[10000, 48],[11000,50],[12000,52],[13000,54],[14000,56],[15000,58],[16000,60],[17000,60],[18000,60],[19000,60],[20000,60] ],
+          76: [[0, 42],[8000,44],[9000,46],[10000, 48],[11000,50],[12000,52],[13000,54],[14000,56],[15000,58],[16000,60],[17000,60],[18000,60],[19000,60],[20000,60] ],
+          77: [[0, 42],[8000,44],[9000,46],[10000, 48],[11000,50],[12000,52],[13000,54],[14000,56],[15000,58],[16000,60],[17000,60],[18000,60],[19000,60],[20000,60] ],
+          78: [[0, 42],[8000,44],[9000,46],[10000, 48],[11000,50],[12000,52],[13000,54],[14000,56],[15000,58],[16000,60],[17000,60],[18000,60],[19000,60],[20000,60] ],
+          79: [[0, 42],[8000,44],[9000,46],[10000, 48],[11000,50],[12000,52],[13000,54],[14000,56],[15000,58],[16000,60],[17000,60],[18000,60],[19000,60],[20000,60] ],
+          80: [[0, 42],[8000,44],[9000,46],[10000, 48],[11000,50],[12000,52],[13000,54],[14000,56],[15000,58],[16000,60],[17000,60],[18000,60],[19000,60],[20000,60] ],
+          81: [[0, 42],[8000,44],[9000,46],[10000, 48],[11000,50],[12000,52],[13000,54],[14000,56],[15000,58],[16000,60],[17000,60],[18000,60],[19000,60],[20000,60] ],
+          82: [[0, 42],[8000,44],[9000,46],[10000, 48],[11000,50],[12000,52],[13000,54],[14000,56],[15000,58],[16000,60],[17000,60],[18000,60],[19000,60],[20000,60] ],
+          83: [[0, 42],[8000,44],[9000,46],[10000, 48],[11000,50],[12000,52],[13000,54],[14000,56],[15000,58],[16000,60],[17000,60],[18000,60],[19000,60],[20000,60] ],
+          84: [[0, 42],[8000,44],[9000,46],[10000, 48],[11000,50],[12000,52],[13000,54],[14000,56],[15000,58],[16000,60],[17000,60],[18000,60],[19000,60],[20000,60] ],
+          85: [[0, 42],[8000,44],[9000,46],[10000, 48],[11000,50],[12000,52],[13000,54],[14000,56],[15000,58],[16000,60],[17000,60],[18000,60],[19000,60],[20000,60] ],
           86: [[0, 40]],
           87: [[0, 40]],
           88: [[0, 40]],

plot_seq.py

     
     fig,axL = plt.subplots(2,1,gridspec_kw={'height_ratios': [2, 1]})
 
-    axL[0].plot(pulseUsL,rmsDbV,marker='.' )
+    axL[0].plot(pulseUsL,rmsDbV,marker='.',color="red" )
 
     #plot_curve( ax, velTblUsL,velTblDbL)
     

plot_seq_1.py

     return zip(db_outL,us_outL,dur_outL,tid_outL)
 
 
-def get_merged_pulse_db_measurements( inDir, midi_pitch, analysisArgsD ):
+def get_merged_pulse_db_measurements( inDir, midi_pitch, analysisArgsD, takeId=None ):
 
     inDir = os.path.join(inDir,"%i" % (midi_pitch))
 
-    takeDirL =  os.listdir(inDir)
+    takeIdL = [] 
+    if takeId is not None:
+        takeIdL.append(takeId)
+    else:
+        takeDirL =  os.listdir(inDir)
+        
+        # for each take in this directory
+        for take_folder in takeDirL:            
+            takeIdL.append(int(take_folder))
+
 
     pkL = []
 
     dbRefL = None
 
     # for each take in this directory
-    for take_folder in takeDirL:
-
-        take_number = int(take_folder)
+    for take_number in takeIdL:
 
         if refTakeId is None:
             refTakeId = take_number
         for db,us,stats in zip(r.pkDbL,r.pkUsL,r.statsL):
             pkL.append( (db,us,stats.durMs,take_number) )
 
-
+            
     pkUsL        = []
     pkDbL        = []
     durMsL       = []
                 ax.axhline( r['maxDbL'][ r['pitchL'].index(midi_pitch) ], color='blue' )
     
     ax.set_ylabel( "%i %s %s" % (midi_pitch, keyMapD[midi_pitch]['type'],keyMapD[midi_pitch]['class']))
+
+
+def plot_us_db_take_curve( ax, inDir, keyMapD, midi_pitch, takeId, analysisArgsD ):
+
+    usL, dbL, durMsL, takeIdL, holdDutyPctL = get_merged_pulse_db_measurements( inDir, midi_pitch, analysisArgsD['rmsAnalysisArgs'] )
+
+    reUsL, reDbL, noiseL, resampleL, skipL, firstAudibleIdx, firstNonSkipIdx  = get_resample_points( usL, dbL, durMsL, takeIdL, analysisArgsD['resampleMinDurMs'], analysisArgsD['resampleMinDb'], analysisArgsD['resampleNoiseLimitPct'] )
+
+    # plot first audible and non-skip position
+    if False:
+    
+        if firstNonSkipIdx is not None:
+            ax.plot( usL[firstNonSkipIdx], dbL[firstNonSkipIdx], markersize=15, marker='+', linestyle='None', color='red')
+
+        if firstAudibleIdx is not None:
+            ax.plot( usL[firstAudibleIdx], dbL[firstAudibleIdx], markersize=15, marker='*', linestyle='None', color='red')
+
+        # plot the resample points
+        if plotResamplePointsFl:
+            ax.plot( reUsL, reDbL, markersize=13, marker='x', linestyle='None', color='green')
+
+        # plot the noisy sample positions
+        if noiseL:
+            nUsL,nDbL = zip(*noiseL)
+            ax.plot( nUsL, nDbL, marker='o', markersize=9, linestyle='None', color='black')
+
+        # plot the noisy sample positions and the neighbors included in the noisy region
+        if resampleL:
+            nUsL,nDbL    = zip(*resampleL)
+            ax.plot( nUsL, nDbL, marker='+', markersize=8, linestyle='None', color='red')
+
+
+        
+    # plot actual sample points
+
+    elbow_us  = None
+    elbow_db  = None
+    elbow_len = None
+
+    usL,dbL,takeIdL = zip(*[(us,dbL[i],takeIdL[i]) for i,us in enumerate(usL) if usMax is None or us <= usMax])
+    
+    if plotTakesFl:
+        for takeId in list(set(takeIdL)):
+
+            # get the us,db points included in this take
+            xL,yL = zip(*[(usL[i],dbL[i]) for i in range(len(usL)) if takeIdL[i]==takeId  ])
+            
+            ax.plot(xL,yL, marker='.',label=takeId)
+            
+            for i,(x,y) in enumerate(zip(xL,yL)):
+                ax.text(x,y,str(i))
+
+
+            #if elbow_len is None or len(xL) > elbow_len:
+            if takeId+1 == len(set(takeIdL)):
+                elbow_us,elbow_db = elbow.find_elbow(xL,yL)
+                elbow_len = len(xL)
+                
+            
+            
+    else:
+        ax.plot(usL, dbL, marker='.')
+
+    ax.plot([elbow_us],[elbow_db],marker='*',markersize=12,color='red',linestyle='None')
+        
+    # plot the skip points in yellow
+    if False:
+        if skipL:
+            nUsL,nDbL    = zip(*skipL)
+            ax.plot( nUsL, nDbL, marker='.', linestyle='None', color='yellow')
+
+    # plot the locations where the hold duty cycle changes with vertical black lines
+    for us_duty in holdDutyPctL:
+        us,duty = tuple(us_duty)
+        if us > 0:
+            ax.axvline(us,color='black')
+
+    # plot the 'minDb' reference line
+    ax.axhline(analysisArgsD['resampleMinDb'] ,color='black')
+
+    if os.path.isfile("minInterpDb.json"):
+        with open("minInterpDb.json","r") as f:
+            r = json.load(f)
+            if midi_pitch  in r['pitchL']:
+                ax.axhline( r['minDbL'][ r['pitchL'].index(midi_pitch) ], color='blue' )
+                ax.axhline( r['maxDbL'][ r['pitchL'].index(midi_pitch) ], color='blue' )
+    
+    ax.set_ylabel( "%i %s %s" % (midi_pitch, keyMapD[midi_pitch]['type'],keyMapD[midi_pitch]['class']))
+
     
 def plot_us_db_curves_main( inDir, cfg, pitchL, plotTakesFl=True, usMax=None, printDir="" ):
 
+    
     analysisArgsD = cfg.analysisArgs
     keyMapD       = { d['midi']:d for d in cfg.key_mapL }
     axN           = len(pitchL)
     fig.set_size_inches(18.5, 10.5*axN)
 
     for ax,midi_pitch in zip(axL,pitchL):
+        
         plot_us_db_curves( ax,inDir, keyMapD, midi_pitch, analysisArgsD, plotTakesFl=plotTakesFl, usMax=usMax )
 
     if plotTakesFl:
         
     plt.show()
 
+def _plot_us_db_takes( inDir, cfg, pitchL, takeIdL, printDir="", printFn="" ):
+    
+    assert( len(pitchL) == len(takeIdL) )
+    
+    analysisArgsD = cfg.analysisArgs
+    keyMapD       = { d['midi']:d for d in cfg.key_mapL }
+    fig,ax       = plt.subplots(1,1)
+        
+    fig.set_size_inches(18.5, 10.5)
+
+    for midi_pitch,takeId in zip(pitchL,takeIdL):
+
+        usL, dbL, durMsL, _, holdDutyPctL = get_merged_pulse_db_measurements( inDir, midi_pitch, analysisArgsD['rmsAnalysisArgs'], takeId=takeId )
+
+        ax.plot(usL,dbL, marker='.',label="%i:%i %s %s" % (midi_pitch,takeId,keyMapD[midi_pitch]['class'],keyMapD[midi_pitch]['type']))
+
+        # for i,(x,y) in enumerate(zip(usL,dbL)):
+        #    ax.text(x,y,str(i))
+
+
+    if printDir:
+        plt.savefig(os.path.join(printDir,printFn),format="png")
+        
+    plt.legend()
+    plt.show()
+    
+def plot_us_db_takes( inDir, cfg, pitchL, printDir=""):
+
+    takeIdL = None
+    takeIdL = [ pitchL[i] for i in range(1,len(pitchL),2) ]
+    pitchL  = [ pitchL[i] for i in range(0,len(pitchL),2) ]
+
+    return _plot_us_db_takes( inDir, cfg, pitchL, takeIdL, printDir, "us_db_takes.png")
+
+def plot_us_db_takes_last( inDir, cfg, pitchL, printDir ):
+
+    takeIdL = []
+    for pitch in pitchL:
+
+        inDirL = os.listdir( os.path.join(inDir,str(pitch)))
+
+        inDirL = sorted(inDirL)
+        
+        takeIdL.append( int(inDirL[-1]) )
+
+    return _plot_us_db_takes( inDir, cfg, pitchL, takeIdL, printDir, "us_db_takes_last.png")
+    
+    
 def plot_all_noise_curves( inDir, cfg, pitchL=None ):
 
     pitchFolderL = os.listdir(inDir)
     
 if __name__ == "__main__":
 
-    printDir =os.path.expanduser( "~/src/picadae_ac_3/doc")
+    printDir = None #os.path.expanduser( "~/src/picadae_ac_3/doc")
     cfgFn   = sys.argv[1]
     inDir   = sys.argv[2]
     mode    = sys.argv[3]
 
     if mode == 'us_db':
         plot_us_db_curves_main( inDir, cfg, pitchL, plotTakesFl=True,usMax=None, printDir=printDir )
+    elif mode == 'us_db_pitch_take':
+        plot_us_db_takes( inDir, cfg, pitchL, printDir=printDir)
+    elif mode == 'us_db_pitch_last':
+        plot_us_db_takes_last( inDir, cfg, pitchL, printDir=printDir)
     elif mode == 'noise':
         plot_all_noise_curves( inDir, cfg, pitchL )
     elif mode == 'min_max':

rt_note_analysis.py

 
         if result:
 
-
             sigV = result.value
 
+            # convert the audio signal vector to contain only the first (left) channel
+            if len(sigV.shape)>1:
+                sigV = sigV[:,0].squeeze()
+            
             anlArgs = types.SimpleNamespace(**anlArgD)
+            
 
             rmsDbV, rms_srate, binHz = audio_harm_rms( audioDev.srate, np.squeeze(sigV), anlArgs.rmsWndMs, anlArgs.rmsHopMs, anlArgs.dbLinRef, midi_pitch, anlArgs.harmCandN, anlArgs.harmN  )