Datasets:
projectlosangeles
commited on
Upload TMIDIX.py
Browse files
TMIDIX.py
CHANGED
@@ -1816,7 +1816,7 @@ def plot_ms_SONG(ms_song,
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plt.title(plot_title)
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if return_plt:
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-
return
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plt.show()
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@@ -5091,6 +5091,305 @@ def delta_score_notes(score_notes,
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###################################################################################
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5094 |
# This is the end of the TMIDI X Python module
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5095 |
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5096 |
###################################################################################
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1816 |
plt.title(plot_title)
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1817 |
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1818 |
if return_plt:
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1819 |
+
return fig
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1820 |
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1821 |
plt.show()
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1822 |
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5091 |
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5092 |
###################################################################################
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5093 |
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5094 |
+
def check_and_fix_chords_in_chordified_score(chordified_score,
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5095 |
+
channels_index=3,
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5096 |
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pitches_index=4
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5097 |
+
):
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5098 |
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fixed_chordified_score = []
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5099 |
+
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5100 |
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bad_chords_counter = 0
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5101 |
+
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5102 |
+
for c in chordified_score:
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5103 |
+
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5104 |
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tones_chord = sorted(set([t[pitches_index] % 12 for t in c if t[channels_index] != 9]))
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5105 |
+
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5106 |
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if tones_chord:
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5107 |
+
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5108 |
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if tones_chord not in ALL_CHORDS_SORTED:
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5109 |
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bad_chords_counter += 1
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5110 |
+
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5111 |
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while tones_chord not in ALL_CHORDS_SORTED:
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5112 |
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tones_chord.pop(0)
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5113 |
+
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5114 |
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new_chord = []
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5115 |
+
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5116 |
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c.sort(key = lambda x: x[pitches_index], reverse=True)
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5117 |
+
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5118 |
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for e in c:
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5119 |
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if e[channels_index] != 9:
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5120 |
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if e[pitches_index] % 12 in tones_chord:
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5121 |
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new_chord.append(e)
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5122 |
+
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5123 |
+
else:
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5124 |
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new_chord.append(e)
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5125 |
+
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5126 |
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fixed_chordified_score.append(new_chord)
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5127 |
+
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5128 |
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return fixed_chordified_score, bad_chords_counter
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5129 |
+
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5130 |
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###################################################################################
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5131 |
+
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5132 |
+
from itertools import combinations, groupby
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5133 |
+
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5134 |
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###################################################################################
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5135 |
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5136 |
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def advanced_check_and_fix_chords_in_chordified_score(chordified_score,
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5137 |
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channels_index=3,
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5138 |
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pitches_index=4,
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5139 |
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use_filtered_chords=True,
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5140 |
+
skip_drums=False
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5141 |
+
):
|
5142 |
+
fixed_chordified_score = []
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5143 |
+
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5144 |
+
bad_chords_counter = 0
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5145 |
+
|
5146 |
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if use_filtered_chords:
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5147 |
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CHORDS = ALL_CHORDS_FILTERED
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5148 |
+
else:
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5149 |
+
CHORDS = ALL_CHORDS_SORTED
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5150 |
+
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5151 |
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for c in chordified_score:
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5152 |
+
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5153 |
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tones_chord = sorted(set([t[pitches_index] % 12 for t in c if t[channels_index] != 9]))
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5154 |
+
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5155 |
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if tones_chord:
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5156 |
+
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5157 |
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if tones_chord not in CHORDS:
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5158 |
+
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5159 |
+
pitches_chord = sorted(set([p[pitches_index] for p in c if p[channels_index] != 9]), reverse=True)
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5160 |
+
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5161 |
+
if len(tones_chord) == 2:
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5162 |
+
tones_counts = Counter([p % 12 for p in pitches_chord]).most_common()
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5163 |
+
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5164 |
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if tones_counts[0][1] > 1:
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5165 |
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tones_chord = [tones_counts[0][0]]
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5166 |
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elif tones_counts[1][1] > 1:
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5167 |
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tones_chord = [tones_counts[1][0]]
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5168 |
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else:
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5169 |
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tones_chord = [pitches_chord[0] % 12]
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5170 |
+
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5171 |
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else:
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5172 |
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tones_chord_combs = [list(comb) for i in range(len(tones_chord)-2, 0, -1) for comb in combinations(tones_chord, i+1)]
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5173 |
+
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5174 |
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for co in tones_chord_combs:
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5175 |
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if co in CHORDS:
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5176 |
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tones_chord = co
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5177 |
+
break
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5178 |
+
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5179 |
+
bad_chords_counter += 1
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5180 |
+
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5181 |
+
new_chord = []
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5182 |
+
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5183 |
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c.sort(key = lambda x: x[pitches_index], reverse=True)
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5184 |
+
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5185 |
+
for e in c:
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5186 |
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if e[channels_index] != 9:
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5187 |
+
if e[pitches_index] % 12 in tones_chord:
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5188 |
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new_chord.append(e)
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5189 |
+
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5190 |
+
else:
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5191 |
+
if not skip_drums:
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5192 |
+
new_chord.append(e)
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5193 |
+
|
5194 |
+
fixed_chordified_score.append(new_chord)
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5195 |
+
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5196 |
+
return fixed_chordified_score, bad_chords_counter
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5197 |
+
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5198 |
+
###################################################################################
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5199 |
+
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5200 |
+
def score_chord_to_tones_chord(chord,
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5201 |
+
transpose_value=0,
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5202 |
+
channels_index=3,
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5203 |
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pitches_index=4):
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5204 |
+
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5205 |
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return sorted(set([(p[4]+transpose_value) % 12 for p in chord if p[channels_index] != 9]))
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5206 |
+
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5207 |
+
###################################################################################
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5208 |
+
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5209 |
+
def grouped_set(seq):
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5210 |
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return [k for k, v in groupby(seq)]
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5211 |
+
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5212 |
+
###################################################################################
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5213 |
+
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5214 |
+
def ordered_set(seq):
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5215 |
+
dic = {}
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5216 |
+
return [k for k, v in dic.fromkeys(seq).items()]
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5217 |
+
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5218 |
+
###################################################################################
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5219 |
+
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5220 |
+
def add_melody_to_enhanced_score_notes(enhanced_score_notes,
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5221 |
+
melody_start_time=0,
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5222 |
+
melody_start_chord=0,
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5223 |
+
melody_notes_min_duration=-1,
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5224 |
+
melody_notes_max_duration=255,
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5225 |
+
melody_duration_overlap_tolerance=4,
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5226 |
+
melody_avg_duration_divider=2,
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5227 |
+
melody_base_octave=5,
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5228 |
+
melody_channel=3,
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5229 |
+
melody_patch=40,
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5230 |
+
melody_max_velocity=110,
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5231 |
+
acc_max_velocity=90,
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5232 |
+
pass_drums=True
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5233 |
+
):
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5234 |
+
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5235 |
+
if pass_drums:
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5236 |
+
score = copy.deepcopy(enhanced_score_notes)
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5237 |
+
else:
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5238 |
+
score = [e for e in copy.deepcopy(enhanced_score_notes) if e[3] !=9]
|
5239 |
+
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5240 |
+
if melody_notes_min_duration > 0:
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5241 |
+
min_duration = melody_notes_min_duration
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5242 |
+
else:
|
5243 |
+
durs = [d[2] for d in score]
|
5244 |
+
min_duration = Counter(durs).most_common()[0][0]
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5245 |
+
|
5246 |
+
adjust_score_velocities(score, acc_max_velocity)
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5247 |
+
|
5248 |
+
cscore = chordify_score([1000, score])
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5249 |
+
|
5250 |
+
melody_score = []
|
5251 |
+
acc_score = []
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5252 |
+
|
5253 |
+
pt = melody_start_time
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5254 |
+
|
5255 |
+
for c in cscore[:melody_start_chord]:
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5256 |
+
acc_score.extend(c)
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5257 |
+
|
5258 |
+
for c in cscore[melody_start_chord:]:
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5259 |
+
|
5260 |
+
durs = [d[2] if d[3] != 9 else -1 for d in c]
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5261 |
+
|
5262 |
+
if not all(d == -1 for d in durs):
|
5263 |
+
ndurs = [d for d in durs if d != -1]
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5264 |
+
avg_dur = (sum(ndurs) / len(ndurs)) / melody_avg_duration_divider
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5265 |
+
best_dur = min(durs, key=lambda x:abs(x-avg_dur))
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5266 |
+
pidx = durs.index(best_dur)
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5267 |
+
|
5268 |
+
cc = copy.deepcopy(c[pidx])
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5269 |
+
|
5270 |
+
if c[0][1] >= pt - melody_duration_overlap_tolerance and best_dur >= min_duration:
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5271 |
+
|
5272 |
+
cc[3] = melody_channel
|
5273 |
+
cc[4] = (c[pidx][4] % 24)
|
5274 |
+
cc[5] = 100 + ((c[pidx][4] % 12) * 2)
|
5275 |
+
cc[6] = melody_patch
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5276 |
+
|
5277 |
+
melody_score.append(cc)
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5278 |
+
acc_score.extend(c)
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5279 |
+
|
5280 |
+
pt = c[0][1]+c[pidx][2]
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5281 |
+
|
5282 |
+
else:
|
5283 |
+
acc_score.extend(c)
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5284 |
+
|
5285 |
+
else:
|
5286 |
+
acc_score.extend(c)
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5287 |
+
|
5288 |
+
values = [e[4] % 24 for e in melody_score]
|
5289 |
+
smoothed = [values[0]]
|
5290 |
+
for i in range(1, len(values)):
|
5291 |
+
if abs(smoothed[-1] - values[i]) >= 12:
|
5292 |
+
if smoothed[-1] < values[i]:
|
5293 |
+
smoothed.append(values[i] - 12)
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5294 |
+
else:
|
5295 |
+
smoothed.append(values[i] + 12)
|
5296 |
+
else:
|
5297 |
+
smoothed.append(values[i])
|
5298 |
+
|
5299 |
+
smoothed_melody = copy.deepcopy(melody_score)
|
5300 |
+
|
5301 |
+
for i, e in enumerate(smoothed_melody):
|
5302 |
+
e[4] = (melody_base_octave * 12) + smoothed[i]
|
5303 |
+
|
5304 |
+
for i, m in enumerate(smoothed_melody[1:]):
|
5305 |
+
if m[1] - smoothed_melody[i][1] < melody_notes_max_duration:
|
5306 |
+
smoothed_melody[i][2] = m[1] - smoothed_melody[i][1]
|
5307 |
+
|
5308 |
+
adjust_score_velocities(smoothed_melody, melody_max_velocity)
|
5309 |
+
|
5310 |
+
final_score = sorted(smoothed_melody + acc_score, key=lambda x: (x[1], -x[4]))
|
5311 |
+
|
5312 |
+
return final_score
|
5313 |
+
|
5314 |
+
###################################################################################
|
5315 |
+
|
5316 |
+
def find_paths(list_of_lists, path=[]):
|
5317 |
+
if not list_of_lists:
|
5318 |
+
return [path]
|
5319 |
+
return [p for sublist in list_of_lists[0] for p in find_paths(list_of_lists[1:], path+[sublist])]
|
5320 |
+
|
5321 |
+
###################################################################################
|
5322 |
+
|
5323 |
+
def recalculate_score_timings(score, start_time=0):
|
5324 |
+
|
5325 |
+
rscore = copy.deepcopy(score)
|
5326 |
+
|
5327 |
+
pe = rscore[0]
|
5328 |
+
|
5329 |
+
abs_time = start_time
|
5330 |
+
|
5331 |
+
for e in rscore:
|
5332 |
+
|
5333 |
+
dtime = e[1] - pe[1]
|
5334 |
+
pe = copy.deepcopy(e)
|
5335 |
+
abs_time += dtime
|
5336 |
+
e[1] = abs_time
|
5337 |
+
|
5338 |
+
return rscore
|
5339 |
+
|
5340 |
+
###################################################################################
|
5341 |
+
|
5342 |
+
WHITE_NOTES = [0, 2, 4, 5, 7, 9, 11]
|
5343 |
+
BLACK_NOTES = [1, 3, 6, 8, 10]
|
5344 |
+
|
5345 |
+
###################################################################################
|
5346 |
+
|
5347 |
+
ALL_CHORDS_FILTERED = [[0], [0, 3], [0, 3, 5], [0, 3, 5, 8], [0, 3, 5, 9], [0, 3, 5, 10], [0, 3, 7],
|
5348 |
+
[0, 3, 7, 10], [0, 3, 8], [0, 3, 9], [0, 3, 10], [0, 4], [0, 4, 6],
|
5349 |
+
[0, 4, 6, 9], [0, 4, 6, 10], [0, 4, 7], [0, 4, 7, 10], [0, 4, 8], [0, 4, 9],
|
5350 |
+
[0, 4, 10], [0, 5], [0, 5, 8], [0, 5, 9], [0, 5, 10], [0, 6], [0, 6, 9],
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5351 |
+
[0, 6, 10], [0, 7], [0, 7, 10], [0, 8], [0, 9], [0, 10], [1], [1, 4],
|
5352 |
+
[1, 4, 6], [1, 4, 6, 9], [1, 4, 6, 10], [1, 4, 6, 11], [1, 4, 7],
|
5353 |
+
[1, 4, 7, 10], [1, 4, 7, 11], [1, 4, 8], [1, 4, 8, 11], [1, 4, 9], [1, 4, 10],
|
5354 |
+
[1, 4, 11], [1, 5], [1, 5, 8], [1, 5, 8, 11], [1, 5, 9], [1, 5, 10],
|
5355 |
+
[1, 5, 11], [1, 6], [1, 6, 9], [1, 6, 10], [1, 6, 11], [1, 7], [1, 7, 10],
|
5356 |
+
[1, 7, 11], [1, 8], [1, 8, 11], [1, 9], [1, 10], [1, 11], [2], [2, 5],
|
5357 |
+
[2, 5, 8], [2, 5, 8, 11], [2, 5, 9], [2, 5, 10], [2, 5, 11], [2, 6], [2, 6, 9],
|
5358 |
+
[2, 6, 10], [2, 6, 11], [2, 7], [2, 7, 10], [2, 7, 11], [2, 8], [2, 8, 11],
|
5359 |
+
[2, 9], [2, 10], [2, 11], [3], [3, 5], [3, 5, 8], [3, 5, 8, 11], [3, 5, 9],
|
5360 |
+
[3, 5, 10], [3, 5, 11], [3, 7], [3, 7, 10], [3, 7, 11], [3, 8], [3, 8, 11],
|
5361 |
+
[3, 9], [3, 10], [3, 11], [4], [4, 6], [4, 6, 9], [4, 6, 10], [4, 6, 11],
|
5362 |
+
[4, 7], [4, 7, 10], [4, 7, 11], [4, 8], [4, 8, 11], [4, 9], [4, 10], [4, 11],
|
5363 |
+
[5], [5, 8], [5, 8, 11], [5, 9], [5, 10], [5, 11], [6], [6, 9], [6, 10],
|
5364 |
+
[6, 11], [7], [7, 10], [7, 11], [8], [8, 11], [9], [10], [11]]
|
5365 |
+
|
5366 |
+
###################################################################################
|
5367 |
+
|
5368 |
+
def harmonize_enhanced_melody_score_notes(enhanced_melody_score_notes):
|
5369 |
+
|
5370 |
+
mel_tones = [e[4] % 12 for e in enhanced_melody_score_notes]
|
5371 |
+
|
5372 |
+
cur_chord = []
|
5373 |
+
|
5374 |
+
song = []
|
5375 |
+
|
5376 |
+
for i, m in enumerate(mel_tones):
|
5377 |
+
cur_chord.append(m)
|
5378 |
+
cc = sorted(set(cur_chord))
|
5379 |
+
|
5380 |
+
if cc in ALL_CHORDS_FILTERED:
|
5381 |
+
song.append(cc)
|
5382 |
+
|
5383 |
+
else:
|
5384 |
+
while sorted(set(cur_chord)) not in ALL_CHORDS_FILTERED:
|
5385 |
+
cur_chord.pop(0)
|
5386 |
+
cc = sorted(set(cur_chord))
|
5387 |
+
song.append(cc)
|
5388 |
+
|
5389 |
+
return song
|
5390 |
+
|
5391 |
+
###################################################################################
|
5392 |
+
|
5393 |
# This is the end of the TMIDI X Python module
|
5394 |
|
5395 |
###################################################################################
|