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1 '''
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2 Author: Chunyang Song
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3 Institution: Centre for Digital Music, Queen Mary University of London
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4
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5 '''
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6
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7
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8 def sync_perbar_permodel(seq, model, timesig = None, subdivision_seq = None, weight_seq = None, L_max = 5, prebar_seq = None, postbar_seq = None, strong_beat_level = None):
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9 syncopation = None
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10
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11 if seq == None or model == None:
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12 print 'Error: please indicate rhythm sequence and syncopation model.'
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13
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14 elif timesig == None and subdivision_seq == None:
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15 print 'Error: please indicate either time signature or subdivision sequence.'
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16
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17 else:
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18 while subdivision_seq == None:
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19 from BasicFuncs import get_subdivision_seq
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20 subdivision_seq = get_subdivision_seq(timesig, L_max)
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21
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22 # The get_rhythm_category function is used to detect rhythm category: monorhythm or polyrhythm.
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23 # For monorhythms, all prime factors of the length of minimum time-span representation of this sequence are
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24 # elements of its subdivision_seq, otherwise it is polyrhythm;
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25 # e.g. prime_factors of polyrhythm 100100101010 in 4/4 is [2,3] but subdivision_seq = [1,2,2] for 4/4
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26 def get_rhythm_category():
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27 rhythm_category = 'mono'
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28 from BasicFuncs import get_min_timeSpan, find_prime_factors
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29 for f in find_prime_factors(len(get_min_timeSpan(seq))):
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30 if not (f in subdivision_seq):
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31 rhythm_category = 'poly'
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32 break
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33 return rhythm_category
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34
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35 rhythm_category = get_rhythm_category()
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36
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37 if model == 'LHL':
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38 import LHL
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39 if weight_seq == None:
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40 weight_seq = range(0,-L_max,-1)
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41 syncopation = LHL.get_syncopation(seq, subdivision_seq, weight_seq, prebar_seq, rhythm_category)
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42 elif model == 'PRS':
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43 import PRS
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44 syncopation = PRS.get_syncopation(seq, subdivision_seq, postbar_seq, rhythm_category)
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45 elif model == 'TMC':
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46 import TMC
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47 if weight_seq == None:
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48 weight_seq = range(L_max+1,0,-1)
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49 syncopation = TMC.get_syncopation(seq, subdivision_seq, weight_seq, L_max, rhythm_category)
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50 elif model == 'SG':
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51 import SG
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52 if weight_seq == None:
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53 weight_seq = range(L_max+1)
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54 syncopation = SG.get_syncopation(seq, subdivision_seq, weight_seq, L_max, rhythm_category)
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55 elif model == 'KTH':
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56 import KTH
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57 syncopation = KTH.get_syncopation(seq, timesig, postbar_seq)
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58 elif model == 'TOB':
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59 import TOB
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60 syncopation = TOB.get_syncopation(seq)
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61 elif model == 'WNBD':
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62 import WNBD
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63 if strong_beat_level == None:
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64 if timesig == '4/4':
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65 strong_beat_level = 2
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66 else:
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67 strong_beat_level = 1
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68 syncopation = WNBD.get_syncopation(seq, subdivision_seq, strong_beat_level, postbar_seq)
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69
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70 else:
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71 print 'Error: undefined syncopation model.'
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72
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73 return syncopation
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74
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75 # def syncopation_all(rhythm, model, timesig, subdivision_seq = None, weight_seq = None, L_max = 5, strong_beat_level = None):
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76 # syncopation = 0
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77 # # Chope rhythm into seq
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78 # # ...
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79
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80 # for (seq_perbar in seq):
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81 # sync_perbar = syncopation_perbar(seq_perbar,model, timesig, subdivision_seq, weight_seq, L_max, strong_beat_level)
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82 # if sync_perbar != None:
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83 # syncopation = syncopation + sync_perbar
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84
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85 # return syncopation
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86
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87
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88 ### TESTING
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89 # clave = [1,0,0,1,0,0,1,0,0,0,1,0,1,0,0,0]
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90 # bf = [0,0,0,1,0,0,0,0,0,0,1,0]
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91 # rhythm = [0,1,0,1,0,1,0,1]
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92 # classic1 = [1,0,1,1]*3 + [1,0,0,0]
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93 # classic2 = [1,0,0,1]*3 + [1,0,0,0]
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94 # shiko = [1,0,1,1,0,1,1,0]
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95 # rumba = [1,0,0,1,0,0,0,1,0,0,1,0,1,0,0,0]
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96 # soukous = [1,0,0,1,0,0,1,0,0,0,1,1,0,0,0,0]
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97 # gahu = [1,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0]
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98 # bossanova = [1,0,0,1,0,0,1,0,0,0,1,0,0,1,0,0]
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99
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100 # classic12 = [1,0,0,1,1,1,1,0,0,1,1,1]
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101 # soli = [1,0,1,0,1,0,1,0,1,1,0,1]
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102
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103 # print sync_perbar(seq = clave, model = 'WNBD', timesig = '4/4')
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