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3644 lines
148 KiB
Plaintext
3644 lines
148 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 236,
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"id": "806f6f69-1e0b-4d34-aac9-695c8531cdb1",
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"metadata": {},
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"outputs": [],
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"source": [
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"from itertools import chain, combinations, permutations, product, pairwise\n",
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"from math import prod, log\n",
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"from copy import deepcopy\n",
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"import networkx as nx\n",
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"from fractions import Fraction\n",
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"import json\n",
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"from operator import add\n",
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"\n",
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"def hs_array_to_fr(hs_array):\n",
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" return prod([pow(dims[d], hs_array[d]) for d in range(len(dims))])\n",
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"\n",
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"def hs_array_to_cents(hs_array):\n",
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" return (1200 * log(hs_array_to_fr(hs_array), 2))\n",
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"\n",
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"def expand_pitch(hs_array):\n",
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" expanded_pitch = list(hs_array)\n",
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" frequency_ratio = hs_array_to_fr(hs_array)\n",
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" if frequency_ratio < 1:\n",
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" while frequency_ratio < 1:\n",
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" frequency_ratio *= 2\n",
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" expanded_pitch[0] += 1\n",
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" elif frequency_ratio >= 2:\n",
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" while frequency_ratio >= 2:\n",
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" frequency_ratio *= 1/2\n",
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" expanded_pitch[0] += -1\n",
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" return tuple(expanded_pitch)\n",
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"\n",
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"def expand_chord(chord):\n",
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" return tuple(expand_pitch(p) for p in chord)\n",
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"\n",
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"def collapse_pitch(hs_array):\n",
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" collapsed_pitch = list(hs_array)\n",
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" collapsed_pitch[0] = 0\n",
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" return tuple(collapsed_pitch)\n",
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"\n",
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"def collapse_chord(chord):\n",
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" return tuple(collapse_pitch(p) for p in chord)\n",
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"\n",
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"def transpose_pitch(pitch, trans):\n",
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" return tuple(map(add, pitch, trans))\n",
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"\n",
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"def transpose_chord(chord, trans):\n",
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" return tuple(transpose_pitch(p, trans) for p in chord)\n",
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"\n",
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"def cent_difference(hs_array1, hs_array2):\n",
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" return hs_array_to_cents(hs_array2) - hs_array_to_cents(hs_array1)\n",
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"\n",
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"def pitch_difference(hs_array1, hs_array2):\n",
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" return transpose_pitch(hs_array1, [p * -1 for p in hs_array2])\n",
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"\n",
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"# this is modified for different chord sizes like original version\n",
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"def grow_chords(chord, root, min_chord_size, max_chord_size):\n",
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" #this could use the tranpose_pitch function\n",
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" branches = [branch for alt in [-1, 1] for d in range(1, len(root)) if (branch:=(*(r:=root)[:d], r[d] + alt, *r[(d + 1):])) not in chord]\n",
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" subsets = chain.from_iterable(combinations(branches, r) for r in range(1, max_chord_size - len(chord) + 1))\n",
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" for subset in subsets:\n",
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" extended_chord = chord + subset\n",
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" if(len(extended_chord) < max_chord_size):\n",
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" for branch in subset:\n",
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" yield from grow_chords(extended_chord, branch, min_chord_size, max_chord_size)\n",
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" if(len(extended_chord) >= min_chord_size):\n",
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" yield tuple(sorted(extended_chord, key=hs_array_to_fr))\n",
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"\n",
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"def chords(chord, root, min_chord_size, max_chord_size):\n",
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" # this will filter out the 4x dups of paths that are loops, there might be a faster way to test this\n",
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" return set(grow_chords(chord, root, min_chord_size, max_chord_size))\n",
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"\n",
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"# this is very slow, I have an idea in mind that my be faster by simply growing the chords to max_chord_size + max_sim_diff\n",
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"# technically at that point you have generated both chords and can get the second chord from the first\n",
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"def edges(chords, min_symdiff, max_symdiff, max_chord_size): \n",
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"\n",
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" def reverse_movements(movements):\n",
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" return {value['destination']:{'destination':key, 'cent_difference':value['cent_difference'] * -1} for key, value in movements.items()}\n",
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"\n",
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" def is_directly_tunable(intersection, diff):\n",
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" # this only works for now when intersection if one element - need to fix that\n",
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" return max([sum(abs(p) for p in collapse_pitch(pitch_difference(d, list(intersection)[0]))) for d in diff]) == 1\n",
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"\n",
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" for combination in combinations(chords, 2):\n",
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" [expanded_base, expanded_comp] = [expand_chord(chord) for chord in combination]\n",
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" edges = []\n",
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" transpositions = set(pitch_difference(pair[0], pair[1]) for pair in set(product(expanded_base, expanded_comp)))\n",
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" for trans in transpositions:\n",
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" expanded_comp_transposed = transpose_chord(expanded_comp, trans)\n",
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" intersection = set(expanded_base) & set(expanded_comp_transposed)\n",
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" symdiff_len = sum([len(chord) - len(intersection) for chord in [expanded_base, expanded_comp_transposed]])\n",
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" if (min_symdiff <= symdiff_len <= max_symdiff):\n",
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" rev_trans = tuple(t * -1 for t in trans)\n",
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" [diff1, diff2] = [list(set(chord) - intersection) for chord in [expanded_base, expanded_comp_transposed]]\n",
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" base_map = {val: {'destination':transpose_pitch(val, rev_trans), 'cent_difference': 0} for val in intersection}\n",
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" base_map_rev = reverse_movements(base_map)\n",
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" maps = []\n",
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" diff1 += [None] * (max_chord_size - len(diff1) - len(intersection))\n",
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" perms = [list(perm) + [None] * (max_chord_size - len(perm) - len(intersection)) for perm in set(permutations(diff2))]\n",
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" for p in perms:\n",
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" appended_map = {\n",
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" diff1[index]:\n",
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" {\n",
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" 'destination': transpose_pitch(val, rev_trans) if val != None else None, \n",
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" 'cent_difference': cent_difference(diff1[index], val) if None not in [diff1[index], val] else None\n",
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" } for index, val in enumerate(p)}\n",
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" yield (tuple(expanded_base), tuple(expanded_comp), {\n",
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" 'transposition': trans,\n",
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" 'symmetric_difference': symdiff_len, \n",
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" 'is_directly_tunable': is_directly_tunable(intersection, diff2),\n",
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" 'movements': base_map | appended_map\n",
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" },)\n",
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" yield (tuple(expanded_comp), tuple(expanded_base), {\n",
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" 'transposition': rev_trans,\n",
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" 'symmetric_difference': symdiff_len, \n",
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" 'is_directly_tunable': is_directly_tunable(intersection, diff1),\n",
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" 'movements': base_map_rev | reverse_movements(appended_map)\n",
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" },)\n",
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"\n",
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"def graph_from_edges(edges):\n",
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" g = nx.MultiDiGraph()\n",
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" g.add_edges_from(edges)\n",
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" return g\n",
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"\n",
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"def generate_graph(chord_set, min_symdiff, max_symdiff, max_chord_size):\n",
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" #chord_set = chords(pitch_set, min_chord_size, max_chord_size)\n",
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" edge_set = edges(chord_set, min_symdiff, max_symdiff, max_chord_size)\n",
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" res_graph = graph_from_edges(edge_set)\n",
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" return res_graph\n",
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"\n",
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"def display_graph(graph):\n",
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" show_graph = nx.Graph(graph)\n",
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" pos = nx.draw_spring(show_graph, node_size=5, width=0.1)\n",
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" plt.figure(1, figsize=(12,12)) \n",
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" nx.draw(show_graph, pos, node_size=5, width=0.1)\n",
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" plt.show()\n",
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" #plt.savefig('compact_sets.png', dpi=150)\n",
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"\n",
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"def path_to_chords(path, start_root):\n",
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" current_root = start_root\n",
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" start_chord = tuple(sorted(path[0][0], key=hs_array_to_fr))\n",
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" chords = ((start_chord, start_chord,),)\n",
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" for edge in path:\n",
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" trans = edge[2]['transposition']\n",
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" movements = edge[2]['movements']\n",
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" current_root = transpose_pitch(current_root, trans)\n",
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" current_ref_chord = chords[-1][0]\n",
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" next_ref_chord = tuple(movements[pitch]['destination'] for pitch in current_ref_chord)\n",
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" next_transposed_chord = tuple(transpose_pitch(pitch, current_root) for pitch in next_ref_chord)\n",
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" chords += ((next_ref_chord, next_transposed_chord,),)\n",
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" return tuple(chord[1] for chord in chords)\n",
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"\n",
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"def write_chord_sequence(path):\n",
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" file = open(\"seq.txt\", \"w+\")\n",
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" content = json.dumps(path)\n",
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" content = content.replace(\"[[[\", \"[\\n\\t[[\")\n",
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" content = content.replace(\", [[\", \",\\n\\t[[\")\n",
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" content = content.replace(\"]]]\", \"]]\\n]\")\n",
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" file.write(content)\n",
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" file.close()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 683,
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"id": "aea5215c-8551-4685-b761-11c2dc74cf22",
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"metadata": {},
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"outputs": [],
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"source": [
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"from random import choice, choices\n",
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"\n",
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"# This is for the static version\n",
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"def stochastic_hamiltonian(graph):\n",
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" \n",
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" def movement_size_weights(edges):\n",
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" \n",
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" def max_cent_diff(edge):\n",
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" res = max([abs(v) for val in edge[2]['movements'].values() if (v:=val['cent_difference']) is not None])\n",
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" return res\n",
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" \n",
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" def min_cent_diff(edge):\n",
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" res = [abs(v) for val in edge[2]['movements'].values() if (v:=val['cent_difference']) is not None]\n",
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" res.remove(0)\n",
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" return min(res)\n",
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" \n",
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" for e in edges:\n",
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" yield 1000 if ((max_cent_diff(e) < 200) and (min_cent_diff(e)) > 50) else 1\n",
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"\n",
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" def hamiltonian_weights(edges):\n",
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" for e in edges:\n",
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" yield 10 if e[1] not in [path_edge[0] for path_edge in path] else 1 / graph.nodes[e[1]]['count']\n",
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" \n",
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" def contrary_motion_weights(edges):\n",
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"\n",
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" def is_contrary(edge):\n",
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" cent_diffs = [v for val in edge[2]['movements'].values() if (v:=val['cent_difference']) is not None]\n",
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" cent_diffs.sort()\n",
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" return (cent_diffs[0] < 0) and (cent_diffs[1] == 0) and (cent_diffs[2] > 0)\n",
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"\n",
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" for e in edges:\n",
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" yield 10 if is_contrary(e) else 1\n",
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" \n",
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" def is_directly_tunable_weights(edges):\n",
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" for e in edges:\n",
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" yield 10 if e[2]['is_directly_tunable'] else 0\n",
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"\n",
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" def voice_crossing_weights(edges):\n",
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" \n",
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" def has_voice_crossing(edge):\n",
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" source = list(edge[0])\n",
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" ordered_source = sorted(source, key=hs_array_to_fr) \n",
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" source_order = [ordered_source.index(p) for p in source]\n",
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" destination = [transpose_pitch(edge[2]['movements'][p]['destination'], edge[2]['transposition']) for p in source]\n",
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" ordered_destination = sorted(destination, key=hs_array_to_fr)\n",
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" destination_order = [ordered_destination.index(p) for p in destination]\n",
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" return source_order != destination_order\n",
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"\n",
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" for e in edges:\n",
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" yield 10 if not has_voice_crossing(e) else 0\n",
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"\n",
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" def is_bass_rooted(chord):\n",
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" return max([sum(abs(p) for p in collapse_pitch(pitch_difference(chord[0], p))) for p in chord[1:]]) == 1\n",
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" \n",
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" check_graph = graph.copy()\n",
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" next_node = choice([node for node in graph.nodes() if is_bass_rooted(node)])\n",
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" check_graph.remove_node(next_node)\n",
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" for node in graph.nodes(data=True):\n",
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" node[1]['count'] = 1\n",
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" path = []\n",
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" while (nx.number_of_nodes(check_graph) > 0) and (len(path) < 5000):\n",
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" out_edges = list(graph.out_edges(next_node, data=True))\n",
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" #print([l for l in zip(movement_size_weights(out_edges), hamiltonian_weights(out_edges))])\n",
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" factors = [\n",
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" movement_size_weights(out_edges), \n",
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" hamiltonian_weights(out_edges), \n",
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" contrary_motion_weights(out_edges), \n",
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" is_directly_tunable_weights(out_edges),\n",
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" voice_crossing_weights(out_edges)\n",
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" ]\n",
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" weights = [prod(a) for a in zip(*factors)]\n",
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" edge = choices(out_edges, weights=weights)[0]\n",
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" #edge = random.choice(out_edges)\n",
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" next_node = edge[1]\n",
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" node[1]['count'] += 1\n",
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" path.append(edge)\n",
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" if next_node in check_graph.nodes:\n",
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" check_graph.remove_node(next_node)\n",
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" return path"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 684,
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"id": "4e3ef738-7f64-47c3-9129-0450fd031375",
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"metadata": {},
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"outputs": [],
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"source": [
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"dims = (2, 3, 5, 7, 11)\n",
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"root = (0, 0, 0, 0, 0)\n",
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"chord = (root,)\n",
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"chord_set = chords(chord, root, 3, 3)\n",
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"graph = generate_graph(chord_set, 4, 4, 3)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 685,
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"id": "6e0de0e5-7973-4a15-ae90-5bbb4a1ef49d",
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"metadata": {},
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"outputs": [],
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"source": [
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"path = stochastic_hamiltonian(graph)\n",
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"#for edge in path:\n",
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"# print(edge)\n",
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"write_chord_sequence(path_to_chords(path, root))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "7f2d356f-6377-46cf-bbb1-32111be90f4f",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"The line_profiler extension is already loaded. To reload it, use:\n",
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" %reload_ext line_profiler\n"
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]
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}
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],
|
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"source": [
|
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"%load_ext line_profiler"
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]
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},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 134,
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|
"id": "7f141bf5-fdcb-4c01-a10b-3e86d3d1a7b4",
|
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"metadata": {},
|
|
"outputs": [],
|
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"source": [
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"chord_set = chords(chord, root, 3, 3)"
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]
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},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 136,
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|
"id": "88850b8c-a743-44d0-b863-7cd9066690d9",
|
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"metadata": {},
|
|
"outputs": [
|
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{
|
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"data": {
|
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"text/plain": [
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"Timer unit: 1e-09 s\n",
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"\n",
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"Total time: 0.112228 s\n",
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"File: /tmp/ipykernel_515812/2679284550.py\n",
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"Function: edge_data at line 74\n",
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"\n",
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"Line # Hits Time Per Hit % Time Line Contents\n",
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"==============================================================\n",
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" 74 def edge_data(chords, min_symdiff, max_symdiff, max_chord_size):\n",
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" 75 990 29603044.0 29902.1 26.4 [expanded_base, expanded_comp] = [expand_chord(chord) for chord in chords]\n",
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" 76 990 229527.0 231.8 0.2 edges = []\n",
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" 77 990 23648371.0 23887.2 21.1 transpositions = set(pitch_difference(pair[0], pair[1]) for pair in set(product(expanded_base, expanded_comp)))\n",
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" 78 9193 2315267.0 251.9 2.1 for trans in transpositions:\n",
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" 79 8203 33386775.0 4070.1 29.7 expanded_comp_transposed = transpose_chord(expanded_comp, trans)\n",
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" 80 8203 8393773.0 1023.3 7.5 intersection = set(expanded_base) & set(expanded_comp_transposed)\n",
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" 81 8203 11812057.0 1440.0 10.5 symdiff_len = sum([len(chord) - len(intersection) for chord in [expanded_base, expanded_comp_transposed]])\n",
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" 82 8203 2530596.0 308.5 2.3 if (min_symdiff <= symdiff_len <= max_symdiff):\n",
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" 83 rev_trans = tuple(t * -1 for t in trans)\n",
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" 84 [diff1, diff2] = [list(set(chord) - intersection) for chord in [expanded_base, expanded_comp_transposed]]\n",
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" 85 base_map = {val: {'destination':transpose_pitch(val, rev_trans), 'cent_difference': 0} for val in intersection}\n",
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" 86 base_map_rev = reverse_movements(base_map)\n",
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" 87 tunability = is_directly_tunable(intersection, diff2)\n",
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" 88 maps = []\n",
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" 89 diff1 += [None] * (max_chord_size - len(diff1) - len(intersection))\n",
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" 90 perms = [list(perm) + [None] * (max_chord_size - len(perm) - len(intersection)) for perm in set(permutations(diff2))]\n",
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" 91 for p in perms:\n",
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" 92 appended_map = {\n",
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" 93 diff1[index]:\n",
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" 94 {\n",
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" 95 'destination': transpose_pitch(val, rev_trans) if val != None else None, \n",
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" 96 'cent_difference': cent_difference(diff1[index], val) if None not in [diff1[index], val] else None\n",
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" 97 } for index, val in enumerate(p)}\n",
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" 98 edges.append((tuple(expanded_base), tuple(expanded_comp), {\n",
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" 99 'transposition': trans,\n",
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" 100 'symmetric_difference': symdiff_len, \n",
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" 101 'is_directly_tunable': tunability,\n",
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" 102 'movements': base_map | appended_map\n",
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" 103 }))\n",
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" 104 edges.append((tuple(expanded_comp), tuple(expanded_base), {\n",
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" 105 'transposition': rev_trans,\n",
|
|
" 106 'symmetric_difference': symdiff_len, \n",
|
|
" 107 'is_directly_tunable': tunability,\n",
|
|
" 108 'movements': base_map_rev | reverse_movements(appended_map)\n",
|
|
" 109 }))\n",
|
|
" 110 990 308812.0 311.9 0.3 return edges if edges != [] else None"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"lprun -f edge_data edges(chord_set, 3, 3, 4)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 688,
|
|
"id": "6e4ecb10-344b-4721-b2f4-68de91d712db",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from random import choice, choices\n",
|
|
"\n",
|
|
"# This is for the rising version / yitgadal\n",
|
|
"def stochastic_hamiltonian(graph):\n",
|
|
" \n",
|
|
" def movement_size_weights(edges):\n",
|
|
" \n",
|
|
" def max_cent_diff(edge):\n",
|
|
" res = max([v for val in edge[2]['movements'].values() if (v:=val['cent_difference']) is not None])\n",
|
|
" return res\n",
|
|
" \n",
|
|
" def min_cent_diff(edge):\n",
|
|
" res = [v for val in edge[2]['movements'].values() if (v:=val['cent_difference']) is not None]\n",
|
|
" res.remove(0)\n",
|
|
" return min(res)\n",
|
|
" \n",
|
|
" for e in edges:\n",
|
|
" yield 1000 if ((max_cent_diff(e) < 175) and (min_cent_diff(e)) >= 0) else 1\n",
|
|
"\n",
|
|
" def hamiltonian_weights(edges):\n",
|
|
" for e in edges:\n",
|
|
" yield 10 if e[1] not in [path_edge[0] for path_edge in path] else 1 / graph.nodes[e[1]]['count']\n",
|
|
" \n",
|
|
" def contrary_motion_weights(edges):\n",
|
|
"\n",
|
|
" def is_contrary(edge):\n",
|
|
" cent_diffs = [v for val in edge[2]['movements'].values() if (v:=val['cent_difference']) is not None]\n",
|
|
" cent_diffs.sort()\n",
|
|
" return (cent_diffs[0] < 0) and (cent_diffs[1] == 0) and (cent_diffs[2] > 0)\n",
|
|
"\n",
|
|
" for e in edges:\n",
|
|
" yield 2 if is_contrary(e) else 1\n",
|
|
" \n",
|
|
" def is_directly_tunable_weights(edges):\n",
|
|
" for e in edges:\n",
|
|
" yield 10 if e[2]['is_directly_tunable'] else 0\n",
|
|
"\n",
|
|
" def transposition_weight(edges):\n",
|
|
" for e in edges:\n",
|
|
" yield 1000 if 0 <= hs_array_to_cents(e[2]['transposition']) < 100 else 0\n",
|
|
"\n",
|
|
" def is_sustained_voice(edges, voice):\n",
|
|
" \n",
|
|
" def is_sustained(edge):\n",
|
|
" source = list(edge[0])\n",
|
|
" ordered_source = sorted(source, key=hs_array_to_fr) \n",
|
|
" destination = [transpose_pitch(edge[2]['movements'][p]['destination'], edge[2]['transposition']) for p in source]\n",
|
|
" ordered_destination = sorted(destination, key=hs_array_to_fr)\n",
|
|
" return ordered_source[voice] == ordered_destination[voice]\n",
|
|
"\n",
|
|
" for e in edges:\n",
|
|
" yield 10 if is_sustained(e) else 0\n",
|
|
"\n",
|
|
" def voice_crossing_weights(edges):\n",
|
|
" \n",
|
|
" def has_voice_crossing(edge):\n",
|
|
" source = list(edge[0])\n",
|
|
" ordered_source = sorted(source, key=hs_array_to_fr) \n",
|
|
" source_order = [ordered_source.index(p) for p in source]\n",
|
|
" destination = [transpose_pitch(edge[2]['movements'][p]['destination'], edge[2]['transposition']) for p in source]\n",
|
|
" ordered_destination = sorted(destination, key=hs_array_to_fr)\n",
|
|
" destination_order = [ordered_destination.index(p) for p in destination]\n",
|
|
" return source_order != destination_order\n",
|
|
"\n",
|
|
" for e in edges:\n",
|
|
" yield 10 if not has_voice_crossing(e) else 0\n",
|
|
"\n",
|
|
" def is_bass_rooted(chord):\n",
|
|
" return max([sum(abs(p) for p in collapse_pitch(pitch_difference(chord[0], p))) for p in chord[1:]]) == 1\n",
|
|
" \n",
|
|
" check_graph = graph.copy()\n",
|
|
" #next_node = choice([node for node in graph.nodes() if is_bass_rooted(node)])\n",
|
|
" next_node = choice(list(graph.nodes()))\n",
|
|
" print(next_node)\n",
|
|
" check_graph.remove_node(next_node)\n",
|
|
" for node in graph.nodes(data=True):\n",
|
|
" node[1]['count'] = 1\n",
|
|
" path = []\n",
|
|
" while (nx.number_of_nodes(check_graph) > 0) and (len(path) < 500):\n",
|
|
" out_edges = list(graph.out_edges(next_node, data=True))\n",
|
|
" #print([l for l in zip(movement_size_weights(out_edges), hamiltonian_weights(out_edges))])\n",
|
|
" factors = [\n",
|
|
" movement_size_weights(out_edges), \n",
|
|
" hamiltonian_weights(out_edges), \n",
|
|
" #contrary_motion_weights(out_edges), \n",
|
|
" #is_directly_tunable_weights(out_edges),\n",
|
|
" voice_crossing_weights(out_edges),\n",
|
|
" #transposition_weight(out_edges)\n",
|
|
" #is_sustained_voice(out_edges, 0)\n",
|
|
" ]\n",
|
|
" weights = [prod(a) for a in zip(*factors)]\n",
|
|
" #print(weights)\n",
|
|
" edge = choices(out_edges, weights=weights)[0]\n",
|
|
" #print(edge)\n",
|
|
" #edge = random.choice(out_edges)\n",
|
|
" next_node = edge[1]\n",
|
|
" node[1]['count'] += 1\n",
|
|
" path.append(edge)\n",
|
|
" if next_node in check_graph.nodes:\n",
|
|
" check_graph.remove_node(next_node)\n",
|
|
" print(len(check_graph.nodes()))\n",
|
|
" return path"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 34,
|
|
"id": "a76dc0f3-02e2-4739-9014-b53d3a590e3d",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"dims = (2, 3, 5, 7, 11)\n",
|
|
"root = (0, 0, 0, 0, 0)\n",
|
|
"chord = (root,)\n",
|
|
"chord_set = chords(chord, root, 3, 3)\n",
|
|
"graph = generate_graph(chord_set, 2, 2, 3)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 690,
|
|
"id": "7b76d848-fe53-4b60-b414-46cfe570f78b",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"((3, 0, 0, -1, 0), (0, 0, 0, 0, 0), (-2, 0, 0, 1, 0))\n",
|
|
"0\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"163"
|
|
]
|
|
},
|
|
"execution_count": 690,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"path = stochastic_hamiltonian(graph)\n",
|
|
"#for edge in path:\n",
|
|
"# print(edge)\n",
|
|
"write_chord_sequence(path_to_chords(path, root))\n",
|
|
"len(path)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "91fd1700-6f41-4a4c-98cb-8355075d44d2",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"#ffmpeg -i video.mkv -acodec pcm_s16le -ar 16000 -ac 2 bereshit_chant.wav\n",
|
|
"#sox bereshit_chant.wav bereshit_chant_snippet.wav trim 4 60"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 2,
|
|
"id": "51be5ff2-2b7f-4350-878f-09e79d4bff1f",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import crepe\n",
|
|
"from scipy.io import wavfile"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 3,
|
|
"id": "9b8e1e21-c5f5-4d77-8d1c-094b073b8322",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"sr, audio = wavfile.read('/home/mwinter/Downloads/bereshit_chant_snippet.wav')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"id": "01f8f969-fc3c-46a2-acfd-b1f956e438bc",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"2024-05-24 17:13:22.147078: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n",
|
|
"2024-05-24 17:13:22.471453: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n",
|
|
"2024-05-24 17:13:23.474683: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
|
|
"To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
|
|
"2024-05-24 17:13:25.296611: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\u001b[1m76/76\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m36s\u001b[0m 471ms/step\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"time, frequency, confidence, activation = crepe.predict(audio, sr, step_size = 25)\n",
|
|
"#time, frequency, confidence = [list(time), list(frequency), list(confidence)]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 379,
|
|
"id": "b0d17cc2-a181-4212-aba5-72b90cab2a84",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from random import choice, choices\n",
|
|
"\n",
|
|
"# This is for the beginning / breysheet\n",
|
|
"def stochastic_hamiltonian(graph):\n",
|
|
"\n",
|
|
" #try making this omit the moving voice\n",
|
|
" def movement_size_weights(edges):\n",
|
|
" \n",
|
|
" def max_cent_diff(edge):\n",
|
|
" res = max([abs(v) for val in edge[2]['movements'].values() if (v:=val['cent_difference']) is not None])\n",
|
|
" return res\n",
|
|
" \n",
|
|
" def min_cent_diff(edge):\n",
|
|
" res = [abs(v) for val in edge[2]['movements'].values() if (v:=val['cent_difference']) is not None]\n",
|
|
" res.remove(0)\n",
|
|
" return min(res)\n",
|
|
" \n",
|
|
" for e in edges:\n",
|
|
" yield 4 if ((max_cent_diff(e) < 300) and (min_cent_diff(e)) >= 0) else 1\n",
|
|
"\n",
|
|
" def hamiltonian_weights(edges):\n",
|
|
" for e in edges:\n",
|
|
" yield 10 if e[1] not in [path_edge[0] for path_edge in path] else 1 / graph.nodes[e[1]]['count']\n",
|
|
" \n",
|
|
" def contrary_motion_weights(edges):\n",
|
|
"\n",
|
|
" def is_contrary(edge):\n",
|
|
" cent_diffs = [v for val in edge[2]['movements'].values() if (v:=val['cent_difference']) is not None]\n",
|
|
" cent_diffs.sort()\n",
|
|
" return (cent_diffs[0] < 0) and (cent_diffs[1] == 0) and (cent_diffs[2] > 0)\n",
|
|
"\n",
|
|
" for e in edges:\n",
|
|
" yield 2 if is_contrary(e) else 1\n",
|
|
" \n",
|
|
" def is_directly_tunable_weights(edges):\n",
|
|
" for e in edges:\n",
|
|
" yield 10 if e[2]['is_directly_tunable'] else 1\n",
|
|
"\n",
|
|
" def symdiff_weights(edges):\n",
|
|
" for e in edges:\n",
|
|
" yield 1000 if e[2]['symmetric_difference'] == 2 else 1\n",
|
|
"\n",
|
|
" def transposition_weight(edges):\n",
|
|
" for e in edges:\n",
|
|
" yield 100 if 0 <= hs_array_to_cents(e[2]['transposition']) < 100 else 1\n",
|
|
"\n",
|
|
" def is_sustained_voice(edges, voice):\n",
|
|
" \n",
|
|
" def is_sustained(edge):\n",
|
|
" source = list(edge[0])\n",
|
|
" ordered_source = sorted(source, key=hs_array_to_fr) \n",
|
|
" destination = [transpose_pitch(edge[2]['movements'][p]['destination'], edge[2]['transposition']) for p in source]\n",
|
|
" ordered_destination = sorted(destination, key=hs_array_to_fr)\n",
|
|
" return ordered_source[voice] == ordered_destination[voice]\n",
|
|
"\n",
|
|
" for e in edges:\n",
|
|
" yield 10 if is_sustained(e) else 1\n",
|
|
"\n",
|
|
" def voice_crossing_weights(edges):\n",
|
|
" \n",
|
|
" def has_voice_crossing(edge):\n",
|
|
" source = list(edge[0])\n",
|
|
" ordered_source = sorted(source, key=hs_array_to_fr) \n",
|
|
" source_order = [ordered_source.index(p) for p in source]\n",
|
|
" destination = [transpose_pitch(edge[2]['movements'][p]['destination'], edge[2]['transposition']) for p in source]\n",
|
|
" ordered_destination = sorted(destination, key=hs_array_to_fr)\n",
|
|
" destination_order = [ordered_destination.index(p) for p in destination]\n",
|
|
" return source_order != destination_order\n",
|
|
"\n",
|
|
" for e in edges:\n",
|
|
" yield 10 if not has_voice_crossing(e) else 0\n",
|
|
"\n",
|
|
" def is_bass_rooted(chord):\n",
|
|
" return max([sum(abs(p) for p in collapse_pitch(pitch_difference(chord[0], p))) for p in chord[1:]]) == 1\n",
|
|
"\n",
|
|
" def target_melody_weights(edges, target, c_devs, voice):\n",
|
|
"\n",
|
|
" def target_weight(edge, target, c_devs, voice):\n",
|
|
" candidate_diffs = []\n",
|
|
" for idx, dev in enumerate(c_devs):\n",
|
|
" if(idx == voice):\n",
|
|
" source = list(edge[0])\n",
|
|
" ordered_source = sorted(source, key=hs_array_to_fr) \n",
|
|
" candidate_diff = edge[2]['movements'][ordered_source[idx]]['cent_difference']\n",
|
|
" candidate_diffs += [abs(dev + candidate_diff - target)]\n",
|
|
" #return 1/pow(1.1, min(candidate_diffs))\n",
|
|
" return 10 if min(candidate_diffs) < 40 else 1/pow(1.1, min(candidate_diffs))\n",
|
|
" \n",
|
|
" for e in edges:\n",
|
|
" yield target_weight(e, target, c_devs, voice)\n",
|
|
" \n",
|
|
" check_graph = graph.copy()\n",
|
|
" next_node = choice(list(graph.nodes()))\n",
|
|
" check_graph.remove_node(next_node)\n",
|
|
" for node in graph.nodes(data=True):\n",
|
|
" node[1]['count'] = 1\n",
|
|
" path = []\n",
|
|
" s_next_node = sorted(next_node, key=hs_array_to_fr)\n",
|
|
" c_devs = (cent_difference(s_next_node[2], s_next_node[0]), cent_difference(s_next_node[2], s_next_node[1]), 0,)\n",
|
|
" #c_devs = (0, cent_difference(s_next_node[0], s_next_node[1]), cent_difference(s_next_node[0], s_next_node[2]),)\n",
|
|
" print(c_devs)\n",
|
|
" while (nx.number_of_nodes(check_graph) > 0) and (len(path) < len(target_melody_data)-1):\n",
|
|
" out_edges = list(graph.out_edges(next_node, data=True))\n",
|
|
" factors = [\n",
|
|
" movement_size_weights(out_edges), \n",
|
|
" #hamiltonian_weights(out_edges), \n",
|
|
" #contrary_motion_weights(out_edges), \n",
|
|
" #is_directly_tunable_weights(out_edges),\n",
|
|
" voice_crossing_weights(out_edges),\n",
|
|
" #transposition_weight(out_edges),\n",
|
|
" #is_sustained_voice(out_edges, 0),\n",
|
|
" target_melody_weights(out_edges, target_melody_data[len(path)+1][-1], c_devs, 2),\n",
|
|
" #symdiff_weights(out_edges)\n",
|
|
" ]\n",
|
|
" weights = [prod(a) for a in zip(*factors)]\n",
|
|
" edge = choices(out_edges, weights=weights)[0]\n",
|
|
" next_node = edge[1]\n",
|
|
" node[1]['count'] += 1\n",
|
|
" path.append(edge)\n",
|
|
" s_chord = tuple(sorted(edge[0], key=hs_array_to_fr))\n",
|
|
" c_devs = tuple(c_devs[pdx] + edge[2]['movements'][pitch]['cent_difference'] - target_melody_data[len(path)][-1] for pdx, pitch in enumerate(s_chord))\n",
|
|
" print(s_chord)\n",
|
|
" print(c_devs)\n",
|
|
" print(target_melody_data[len(path)][-1])\n",
|
|
" if next_node in check_graph.nodes:\n",
|
|
" check_graph.remove_node(next_node)\n",
|
|
" return path"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 374,
|
|
"id": "a8592bc9-7e9e-4b6a-9eaa-4c4e3b69ce91",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"dims = (2, 3, 5, 7)\n",
|
|
"root = (0, 0, 0, 0)\n",
|
|
"chord = (root,)\n",
|
|
"chord_set = chords(chord, root, 3, 3)\n",
|
|
"graph = generate_graph(chord_set, 2, 2, 3)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 342,
|
|
"id": "fb2ad9ad-7a8c-4f84-ab0c-9c1f1ecdb8a8",
|
|
"metadata": {
|
|
"scrolled": true
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
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"output_type": "stream",
|
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"text": [
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"2\n",
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"2\n",
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"1\n",
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"1\n",
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"2\n",
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"1\n",
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"2\n",
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"1\n",
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"2\n",
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"1\n",
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"41.0\n",
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"1\n",
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"[(37.0, 41.0, 51.0), (37.0, 41.0, 52.0)]\n",
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"37.0\n",
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"0\n",
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"48.0\n",
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"2\n",
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"44.0\n",
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"1\n",
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"[(39.0, 44.0, 48.0), (39.0, 46.0, 48.0)]\n",
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"0\n",
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"[(39.0, 46.0, 53.0), (40.0, 46.0, 53.0)]\n",
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"53.0\n",
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"2\n",
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"[(39.0, 44.0, 51.0), (39.0, 44.0, 49.0)]\n",
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"51.0\n",
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"2\n",
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"2\n",
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"45.0\n",
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"1\n",
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"52.0\n",
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"2\n",
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"2\n",
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"[(37.0, 45.0, 53.0), (37.0, 45.0, 52.0)]\n",
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"0\n",
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"52.0\n",
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"2\n",
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"0\n",
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"2\n",
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"52.0\n",
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"2\n",
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"51.0\n",
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"2\n",
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"[(36.0, 41.0, 49.0), (36.0, 41.0, 48.0)]\n",
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"49.0\n",
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"2\n",
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"[(36.0, 41.0, 48.0), (36.0, 41.0, 46.0)]\n",
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"48.0\n",
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"2\n",
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"46.0\n",
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"2\n",
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"[(36.0, 46.0, 46.0), (39.0, 46.0, 46.0)]\n",
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"46.0\n",
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"1\n",
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"0\n",
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"44.0\n",
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"1\n",
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"[(39.0, 42.0, 46.0), (39.0, 42.0, 51.0)]\n",
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"42.0\n",
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"1\n",
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"[(39.0, 42.0, 51.0), (39.0, 42.0, 52.0)]\n",
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"51.0\n",
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"2\n",
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"[(39.0, 42.0, 52.0), (41.0, 42.0, 52.0)]\n",
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"52.0\n",
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"2\n",
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"0\n",
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"54.0\n",
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"2\n",
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"2\n",
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"57.0\n",
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"2\n",
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"0\n",
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"1\n",
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"1\n",
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"[(39.0, 44.0, 53.0), (39.0, 44.0, 57.0)]\n",
|
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"44.0\n",
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"1\n",
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"[(39.0, 44.0, 57.0), (39.0, 44.0, 55.0)]\n",
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"2\n",
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|
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"2\n",
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"1\n",
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"1\n",
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"[(36.0, 39.0, 51.0), (36.0, 39.0, 53.0)]\n",
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|
|
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"2\n",
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"[(36.0, 44.0, 51.0), (36.0, 45.0, 51.0)]\n",
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|
"1\n",
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|
|
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|
"1\n",
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"[(41.0, 45.0, 51.0), (41.0, 47.0, 51.0)]\n",
|
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"41.0\n",
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|
"0\n",
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|
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|
"1\n",
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"[(41.0, 47.0, 49.0), (41.0, 49.0, 49.0)]\n",
|
|
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|
"2\n",
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"[(41.0, 49.0, 49.0), (41.0, 50.0, 49.0)]\n",
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"1\n",
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"1\n",
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|
|
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|
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"2\n",
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"39.0\n",
|
|
"0\n",
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|
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"46.0\n",
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"1\n",
|
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"[(37.0, 46.0, 48.0), (37.0, 46.0, 49.0)]\n",
|
|
"37.0\n",
|
|
"0\n",
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|
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"2\n",
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|
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|
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|
"2\n",
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|
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|
|
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|
|
"1\n",
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|
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|
|
"47.0\n",
|
|
"1\n",
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|
|
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|
"1\n",
|
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"[(37.0, 44.0, 51.0), (37.0, 44.0, 55.0)]\n",
|
|
"51.0\n",
|
|
"2\n",
|
|
"[(37.0, 44.0, 55.0), (37.0, 44.0, 57.0)]\n",
|
|
"55.0\n",
|
|
"2\n",
|
|
"[(37.0, 44.0, 57.0), (37.0, 44.0, 56.0)]\n",
|
|
"57.0\n",
|
|
"2\n",
|
|
"[(37.0, 44.0, 56.0), (40.0, 44.0, 56.0)]\n",
|
|
"56.0\n",
|
|
"2\n",
|
|
"[(40.0, 44.0, 56.0), (41.0, 44.0, 56.0)]\n",
|
|
"40.0\n",
|
|
"0\n",
|
|
"[(41.0, 44.0, 56.0), (40.0, 44.0, 56.0)]\n",
|
|
"41.0\n",
|
|
"0\n",
|
|
"[(40.0, 44.0, 56.0), (40.0, 44.0, 57.0)]\n",
|
|
"40.0\n",
|
|
"0\n",
|
|
"[(40.0, 44.0, 57.0), (40.0, 44.0, 56.0)]\n",
|
|
"57.0\n",
|
|
"2\n",
|
|
"[(40.0, 44.0, 56.0), (40.0, 44.0, 53.0)]\n",
|
|
"56.0\n",
|
|
"2\n",
|
|
"[(40.0, 44.0, 53.0), (39.0, 44.0, 53.0)]\n",
|
|
"53.0\n",
|
|
"2\n",
|
|
"[(39.0, 44.0, 53.0), (39.0, 44.0, 51.0)]\n",
|
|
"39.0\n",
|
|
"0\n",
|
|
"[(39.0, 44.0, 51.0), (39.0, 46.0, 51.0)]\n",
|
|
"51.0\n",
|
|
"2\n",
|
|
"[(39.0, 46.0, 51.0), (40.0, 46.0, 51.0)]\n",
|
|
"46.0\n",
|
|
"1\n",
|
|
"[(40.0, 46.0, 51.0), (39.0, 46.0, 51.0)]\n",
|
|
"40.0\n",
|
|
"0\n",
|
|
"[(39.0, 46.0, 51.0), (39.0, 44.0, 51.0)]\n",
|
|
"39.0\n",
|
|
"0\n",
|
|
"[(39.0, 44.0, 51.0), (37.0, 44.0, 51.0)]\n",
|
|
"44.0\n",
|
|
"1\n",
|
|
"[(37.0, 44.0, 51.0), (36.0, 44.0, 51.0)]\n",
|
|
"37.0\n",
|
|
"0\n",
|
|
"[(36.0, 44.0, 51.0), (34.0, 44.0, 51.0)]\n",
|
|
"36.0\n",
|
|
"0\n",
|
|
"[(34.0, 44.0, 51.0), (34.0, 44.0, 53.0)]\n",
|
|
"34.0\n",
|
|
"0\n",
|
|
"[(34.0, 44.0, 53.0), (34.0, 44.0, 51.0)]\n",
|
|
"53.0\n",
|
|
"2\n",
|
|
"[(34.0, 44.0, 51.0), (34.0, 42.0, 51.0)]\n",
|
|
"51.0\n",
|
|
"2\n",
|
|
"[(34.0, 42.0, 51.0), (34.0, 41.0, 51.0)]\n",
|
|
"42.0\n",
|
|
"1\n",
|
|
"[(34.0, 41.0, 51.0), (39.0, 41.0, 51.0)]\n",
|
|
"41.0\n",
|
|
"1\n",
|
|
"[(39.0, 41.0, 51.0), (40.0, 41.0, 51.0)]\n",
|
|
"39.0\n",
|
|
"0\n",
|
|
"[(40.0, 41.0, 51.0), (40.0, 41.0, 48.0)]\n",
|
|
"40.0\n",
|
|
"0\n",
|
|
"[(40.0, 41.0, 48.0), (40.0, 42.0, 48.0)]\n",
|
|
"48.0\n",
|
|
"2\n",
|
|
"[(40.0, 42.0, 48.0), (40.0, 42.0, 49.0)]\n",
|
|
"42.0\n",
|
|
"1\n",
|
|
"[(40.0, 42.0, 49.0), (40.0, 44.0, 49.0)]\n",
|
|
"49.0\n",
|
|
"2\n",
|
|
"[(40.0, 44.0, 49.0), (40.0, 44.0, 46.0)]\n",
|
|
"44.0\n",
|
|
"1\n",
|
|
"[(40.0, 44.0, 46.0), (40.0, 44.0, 53.0)]\n",
|
|
"46.0\n",
|
|
"2\n",
|
|
"[(40.0, 44.0, 53.0), (40.0, 44.0, 54.0)]\n",
|
|
"53.0\n",
|
|
"2\n",
|
|
"[(40.0, 44.0, 54.0), (40.0, 44.0, 49.0)]\n",
|
|
"54.0\n",
|
|
"2\n",
|
|
"[(40.0, 44.0, 49.0), (40.0, 43.0, 49.0)]\n",
|
|
"49.0\n",
|
|
"2\n",
|
|
"[(40.0, 43.0, 49.0), (42.0, 45.0, 49.0)]\n",
|
|
"43.0\n",
|
|
"1\n",
|
|
"[(42.0, 45.0, 49.0), (42.0, 46.0, 49.0)]\n",
|
|
"42.0\n",
|
|
"0\n",
|
|
"[(42.0, 46.0, 49.0), (44.0, 46.0, 49.0)]\n",
|
|
"46.0\n",
|
|
"1\n",
|
|
"[(44.0, 46.0, 49.0), (45.0, 46.0, 49.0)]\n",
|
|
"44.0\n",
|
|
"0\n",
|
|
"[(45.0, 46.0, 49.0), (45.0, 44.0, 49.0)]\n",
|
|
"45.0\n",
|
|
"0\n",
|
|
"[(45.0, 44.0, 49.0), (41.0, 44.0, 49.0)]\n",
|
|
"44.0\n",
|
|
"1\n",
|
|
"[(41.0, 44.0, 49.0), (41.0, 48.0, 51.0)]\n",
|
|
"41.0\n",
|
|
"0\n",
|
|
"[(41.0, 48.0, 51.0), (41.0, 50.0, 51.0)]\n",
|
|
"48.0\n",
|
|
"1\n",
|
|
"[(41.0, 50.0, 51.0), (41.0, 49.0, 51.0)]\n",
|
|
"50.0\n",
|
|
"1\n",
|
|
"[(41.0, 49.0, 51.0), (41.0, 49.0, 48.0)]\n",
|
|
"49.0\n",
|
|
"1\n",
|
|
"[(41.0, 49.0, 48.0), (41.0, 50.0, 48.0)]\n",
|
|
"48.0\n",
|
|
"2\n",
|
|
"[(41.0, 50.0, 48.0), (41.0, 50.0, 51.0)]\n",
|
|
"50.0\n",
|
|
"1\n",
|
|
"[(41.0, 50.0, 51.0), (41.0, 50.0, 52.0)]\n",
|
|
"51.0\n",
|
|
"2\n",
|
|
"[(41.0, 50.0, 52.0), (41.0, 49.0, 52.0)]\n",
|
|
"52.0\n",
|
|
"2\n",
|
|
"[(41.0, 49.0, 52.0), (41.0, 49.0, 51.0)]\n",
|
|
"49.0\n",
|
|
"1\n",
|
|
"[(41.0, 49.0, 51.0), (41.0, 46.0, 51.0)]\n",
|
|
"51.0\n",
|
|
"2\n",
|
|
"[(41.0, 46.0, 51.0), (41.0, 46.0, 53.0)]\n",
|
|
"46.0\n",
|
|
"1\n",
|
|
"[(41.0, 46.0, 53.0), (41.0, 44.0, 53.0)]\n",
|
|
"53.0\n",
|
|
"2\n",
|
|
"[(41.0, 44.0, 53.0), (45.0, 44.0, 52.0)]\n",
|
|
"44.0\n",
|
|
"1\n",
|
|
"[(45.0, 44.0, 52.0), (45.0, 44.0, 51.0)]\n",
|
|
"45.0\n",
|
|
"0\n",
|
|
"[(45.0, 44.0, 51.0), (43.0, 44.0, 51.0)]\n",
|
|
"51.0\n",
|
|
"2\n",
|
|
"[(43.0, 44.0, 51.0), (42.0, 44.0, 51.0)]\n",
|
|
"43.0\n",
|
|
"0\n",
|
|
"[(42.0, 44.0, 51.0), (39.0, 44.0, 51.0)]\n",
|
|
"42.0\n",
|
|
"0\n",
|
|
"[(39.0, 44.0, 51.0), (39.0, 44.0, 49.0)]\n",
|
|
"39.0\n",
|
|
"0\n",
|
|
"[(39.0, 44.0, 49.0), (39.0, 44.0, 50.0)]\n",
|
|
"49.0\n",
|
|
"2\n",
|
|
"[(39.0, 44.0, 50.0), (39.0, 44.0, 52.0)]\n",
|
|
"50.0\n",
|
|
"2\n",
|
|
"[(39.0, 44.0, 52.0), (39.0, 44.0, 51.0)]\n",
|
|
"52.0\n",
|
|
"2\n",
|
|
"[(39.0, 44.0, 51.0), (39.0, 46.0, 51.0)]\n",
|
|
"51.0\n",
|
|
"2\n",
|
|
"[(39.0, 46.0, 51.0), (39.0, 44.0, 51.0)]\n",
|
|
"46.0\n",
|
|
"1\n",
|
|
"[(39.0, 44.0, 51.0), (39.0, 44.0, 52.0)]\n",
|
|
"44.0\n",
|
|
"1\n",
|
|
"[(39.0, 44.0, 52.0), (39.0, 44.0, 53.0)]\n",
|
|
"52.0\n",
|
|
"2\n",
|
|
"[(39.0, 44.0, 53.0), (41.0, 44.0, 53.0)]\n",
|
|
"53.0\n",
|
|
"2\n",
|
|
"[(41.0, 44.0, 53.0), (41.0, 44.0, 49.0)]\n",
|
|
"41.0\n",
|
|
"0\n",
|
|
"[(41.0, 44.0, 49.0), (39.0, 44.0, 49.0)]\n",
|
|
"49.0\n",
|
|
"2\n",
|
|
"[(39.0, 44.0, 49.0), (39.0, 41.0, 49.0)]\n",
|
|
"39.0\n",
|
|
"0\n",
|
|
"[(39.0, 41.0, 49.0), (39.0, 41.0, 56.0)]\n",
|
|
"41.0\n",
|
|
"1\n",
|
|
"[(39.0, 41.0, 56.0), (39.0, 42.0, 56.0)]\n",
|
|
"56.0\n",
|
|
"2\n",
|
|
"[(39.0, 42.0, 56.0), (39.0, 42.0, 54.0)]\n",
|
|
"42.0\n",
|
|
"1\n",
|
|
"[(39.0, 42.0, 54.0), (39.0, 42.0, 53.0)]\n",
|
|
"54.0\n",
|
|
"2\n",
|
|
"[(39.0, 42.0, 53.0), (39.0, 39.0, 53.0)]\n",
|
|
"53.0\n",
|
|
"2\n",
|
|
"[(39.0, 39.0, 53.0), (39.0, 39.0, 51.0)]\n",
|
|
"39.0\n",
|
|
"1\n",
|
|
"[(39.0, 39.0, 51.0), (39.0, 46.0, 51.0)]\n",
|
|
"51.0\n",
|
|
"2\n",
|
|
"[(39.0, 46.0, 51.0), (39.0, 47.0, 51.0)]\n",
|
|
"46.0\n",
|
|
"1\n",
|
|
"[(39.0, 47.0, 51.0), (39.0, 47.0, 53.0)]\n",
|
|
"47.0\n",
|
|
"1\n",
|
|
"[(39.0, 47.0, 53.0), (39.0, 47.0, 51.0)]\n",
|
|
"53.0\n",
|
|
"2\n",
|
|
"[(39.0, 47.0, 51.0), (39.0, 42.0, 51.0)]\n",
|
|
"51.0\n",
|
|
"2\n",
|
|
"[(39.0, 42.0, 51.0), (37.0, 42.0, 51.0)]\n",
|
|
"42.0\n",
|
|
"1\n",
|
|
"[(37.0, 42.0, 51.0), (37.0, 42.0, 49.0)]\n",
|
|
"37.0\n",
|
|
"0\n",
|
|
"[(37.0, 42.0, 49.0), (36.0, 42.0, 49.0)]\n",
|
|
"49.0\n",
|
|
"2\n",
|
|
"[(36.0, 42.0, 49.0), (36.0, 42.0, 48.0)]\n",
|
|
"36.0\n",
|
|
"0\n",
|
|
"[(36.0, 42.0, 48.0), (36.0, 44.0, 49.0)]\n",
|
|
"48.0\n",
|
|
"2\n",
|
|
"[(36.0, 44.0, 49.0), (36.0, 44.0, 51.0)]\n",
|
|
"44.0\n",
|
|
"1\n",
|
|
"[(36.0, 44.0, 51.0), (37.0, 44.0, 51.0)]\n",
|
|
"51.0\n",
|
|
"2\n",
|
|
"[(37.0, 44.0, 51.0), (37.0, 41.0, 51.0)]\n",
|
|
"37.0\n",
|
|
"0\n",
|
|
"[(37.0, 41.0, 51.0), (39.0, 41.0, 51.0)]\n",
|
|
"41.0\n",
|
|
"1\n",
|
|
"[(39.0, 41.0, 51.0), (39.0, 41.0, 52.0)]\n",
|
|
"39.0\n",
|
|
"0\n",
|
|
"[(39.0, 41.0, 52.0), (39.0, 44.0, 53.0)]\n",
|
|
"52.0\n",
|
|
"2\n",
|
|
"[(39.0, 44.0, 53.0), (39.0, 45.0, 53.0)]\n",
|
|
"44.0\n",
|
|
"1\n",
|
|
"[(39.0, 45.0, 53.0), (39.0, 45.0, 52.0)]\n",
|
|
"45.0\n",
|
|
"1\n",
|
|
"[(39.0, 45.0, 52.0), (39.0, 45.0, 51.0)]\n",
|
|
"52.0\n",
|
|
"2\n",
|
|
"[(39.0, 45.0, 51.0), (39.0, 44.0, 51.0)]\n",
|
|
"51.0\n",
|
|
"2\n",
|
|
"[(39.0, 44.0, 51.0), (39.0, 44.0, 52.0)]\n",
|
|
"44.0\n",
|
|
"1\n",
|
|
"[(39.0, 44.0, 52.0), (39.0, 46.0, 52.0)]\n",
|
|
"52.0\n",
|
|
"2\n",
|
|
"[(39.0, 46.0, 52.0), (39.0, 45.0, 52.0)]\n",
|
|
"46.0\n",
|
|
"1\n",
|
|
"[(39.0, 45.0, 52.0), (38.0, 45.0, 52.0)]\n",
|
|
"45.0\n",
|
|
"1\n",
|
|
"[(38.0, 45.0, 52.0), (40.0, 45.0, 52.0)]\n",
|
|
"38.0\n",
|
|
"0\n",
|
|
"[(40.0, 45.0, 52.0), (41.0, 45.0, 52.0)]\n",
|
|
"40.0\n",
|
|
"0\n",
|
|
"[(41.0, 45.0, 52.0), (41.0, 44.0, 52.0)]\n",
|
|
"41.0\n",
|
|
"0\n",
|
|
"[(41.0, 44.0, 52.0), (41.0, 42.0, 52.0)]\n",
|
|
"44.0\n",
|
|
"1\n",
|
|
"[(41.0, 42.0, 52.0), (39.0, 42.0, 52.0)]\n",
|
|
"42.0\n",
|
|
"1\n",
|
|
"[(39.0, 42.0, 52.0), (39.0, 43.0, 52.0)]\n",
|
|
"39.0\n",
|
|
"0\n",
|
|
"[(39.0, 43.0, 52.0), (43.0, 43.0, 52.0)]\n",
|
|
"43.0\n",
|
|
"1\n",
|
|
"[(43.0, 43.0, 52.0), (45.0, 43.0, 52.0)]\n",
|
|
"43.0\n",
|
|
"0\n",
|
|
"[(45.0, 43.0, 52.0), (44.0, 43.0, 52.0)]\n",
|
|
"45.0\n",
|
|
"0\n",
|
|
"[(44.0, 43.0, 52.0), (44.0, 45.0, 52.0)]\n",
|
|
"44.0\n",
|
|
"0\n",
|
|
"[(44.0, 45.0, 52.0), (44.0, 44.0, 52.0)]\n",
|
|
"45.0\n",
|
|
"1\n",
|
|
"[(44.0, 44.0, 52.0), (45.0, 44.0, 52.0)]\n",
|
|
"44.0\n",
|
|
"1\n",
|
|
"[(45.0, 44.0, 52.0), (44.0, 44.0, 52.0)]\n",
|
|
"45.0\n",
|
|
"0\n",
|
|
"[(44.0, 44.0, 52.0), (41.0, 44.0, 52.0)]\n",
|
|
"44.0\n",
|
|
"0\n",
|
|
"[(41.0, 44.0, 52.0), (41.0, 45.0, 52.0)]\n",
|
|
"41.0\n",
|
|
"0\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
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"[(1.525, 51.0, 2, 0.0),\n",
|
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" (0.425, 53.0, 2, 200.0),\n",
|
|
" (1.225, 51.0, 2, -200.0),\n",
|
|
" (0.65, 46.0, 1, -500.0),\n",
|
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" (0.375, 44.0, 1, -200.0),\n",
|
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" (0.65, 49.0, 2, 500.0),\n",
|
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" (0.175, 48.0, 2, -100.0),\n",
|
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" (0.925, 41.0, 0, -700.0),\n",
|
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" (0.4, 39.0, 0, -200.0),\n",
|
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" (0.4, 49.0, 2, 1000.0),\n",
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" (0.7, 42.0, 1, -700.0),\n",
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" (0.25, 51.0, 2, 900.0),\n",
|
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" (0.625, 41.0, 1, -1000.0),\n",
|
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" (0.1, 52.0, 2, 1100.0),\n",
|
|
" (1.175, 51.0, 2, -100.0),\n",
|
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" (0.475, 42.0, 1, -900.0),\n",
|
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" (0.1, 49.0, 2, 700.0),\n",
|
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" (0.225, 48.0, 2, -100.0),\n",
|
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" (0.625, 37.0, 0, -1100.0),\n",
|
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" (0.525, 44.0, 1, 700.0),\n",
|
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" (0.2, 36.0, 0, -800.0),\n",
|
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" (0.625, 51.0, 2, 1500.0),\n",
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" (0.05, 45.0, 1, -600.0),\n",
|
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" (0.175, 44.0, 1, -100.0),\n",
|
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" (0.65, 53.0, 2, 900.0),\n",
|
|
" (1.0, 51.0, 2, -200.0),\n",
|
|
" (0.075, 42.0, 1, -900.0),\n",
|
|
" (0.075, 41.0, 1, -100.0),\n",
|
|
" (1.2, 37.0, 0, -400.0),\n",
|
|
" (0.525, 52.0, 2, 1500.0),\n",
|
|
" (0.3, 48.0, 2, -400.0),\n",
|
|
" (0.075, 44.0, 1, -400.0),\n",
|
|
" (1.225, 39.0, 0, -500.0),\n",
|
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" (0.325, 46.0, 1, 700.0),\n",
|
|
" (0.3, 53.0, 2, 700.0),\n",
|
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" (0.15, 40.0, 0, -1300.0),\n",
|
|
" (0.075, 39.0, 0, -100.0),\n",
|
|
" (0.525, 44.0, 1, 500.0),\n",
|
|
" (0.225, 51.0, 2, 700.0),\n",
|
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" (2.275, 49.0, 2, -200.0),\n",
|
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" (0.125, 45.0, 1, -400.0),\n",
|
|
" (0.025, 52.0, 2, 700.0),\n",
|
|
" (0.225, 53.0, 2, 100.0),\n",
|
|
" (0.025, 37.0, 0, -1600.0),\n",
|
|
" (0.125, 52.0, 2, 1500.0),\n",
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" (0.25, 36.0, 0, -1600.0),\n",
|
|
" (0.25, 41.0, 1, 500.0),\n",
|
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" (0.8, 51.0, 2, 1000.0),\n",
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" (0.125, 52.0, 2, 100.0),\n",
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" (0.325, 51.0, 2, -100.0),\n",
|
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" (0.275, 49.0, 2, -200.0),\n",
|
|
" (0.375, 48.0, 2, -100.0),\n",
|
|
" (0.425, 46.0, 2, -200.0),\n",
|
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" (0.125, 46.0, 1, 0.0),\n",
|
|
" (1.1, 39.0, 0, -700.0),\n",
|
|
" (0.375, 44.0, 1, 500.0),\n",
|
|
" (0.05, 42.0, 1, -200.0),\n",
|
|
" (0.1, 51.0, 2, 900.0),\n",
|
|
" (0.4, 52.0, 2, 100.0),\n",
|
|
" (1.15, 41.0, 0, -1100.0),\n",
|
|
" (0.15, 54.0, 2, 1300.0),\n",
|
|
" (0.1, 56.0, 2, 200.0),\n",
|
|
" (0.075, 57.0, 2, 100.0),\n",
|
|
" (0.75, 39.0, 0, -1800.0),\n",
|
|
" (0.575, 53.0, 2, 1400.0),\n",
|
|
" (0.05, 45.0, 1, -800.0),\n",
|
|
" (0.325, 46.0, 1, 100.0),\n",
|
|
" (0.9, 45.0, 1, -100.0),\n",
|
|
" (0.375, 44.0, 1, -100.0),\n",
|
|
" (0.575, 57.0, 2, 1300.0),\n",
|
|
" (0.05, 55.0, 2, -200.0),\n",
|
|
" (0.125, 54.0, 2, -100.0),\n",
|
|
" (0.075, 45.0, 1, -900.0),\n",
|
|
" (0.125, 51.0, 2, 600.0),\n",
|
|
" (0.4, 44.0, 1, -700.0),\n",
|
|
" (0.275, 42.0, 1, -200.0),\n",
|
|
" (0.125, 40.0, 0, -200.0),\n",
|
|
" (0.525, 41.0, 1, 100.0),\n",
|
|
" (0.65, 39.0, 1, -200.0),\n",
|
|
" (0.975, 36.0, 0, -300.0),\n",
|
|
" (0.725, 53.0, 2, 1700.0),\n",
|
|
" (0.275, 51.0, 2, -200.0),\n",
|
|
" (0.175, 44.0, 1, -700.0),\n",
|
|
" (1.65, 45.0, 1, 100.0),\n",
|
|
" (0.7, 41.0, 0, -400.0),\n",
|
|
" (0.1, 47.0, 1, 600.0),\n",
|
|
" (0.05, 49.0, 2, 200.0),\n",
|
|
" (0.225, 49.0, 1, 0.0),\n",
|
|
" (0.4, 50.0, 1, 100.0),\n",
|
|
" (0.375, 48.0, 2, -200.0),\n",
|
|
" (0.325, 39.0, 0, -900.0),\n",
|
|
" (0.2, 46.0, 1, 700.0),\n",
|
|
" (0.225, 37.0, 0, -900.0),\n",
|
|
" (0.425, 49.0, 2, 1200.0),\n",
|
|
" (2.05, 51.0, 2, 200.0),\n",
|
|
" (0.025, 50.0, 2, -100.0),\n",
|
|
" (0.125, 50.0, 1, 0.0),\n",
|
|
" (0.075, 52.0, 2, 200.0),\n",
|
|
" (0.45, 53.0, 2, 100.0),\n",
|
|
" (0.075, 48.0, 1, -500.0),\n",
|
|
" (0.225, 47.0, 1, -100.0),\n",
|
|
" (0.075, 44.0, 1, -300.0),\n",
|
|
" (0.35, 51.0, 2, 700.0),\n",
|
|
" (0.15, 55.0, 2, 400.0),\n",
|
|
" (0.3, 57.0, 2, 200.0),\n",
|
|
" (0.175, 56.0, 2, -100.0),\n",
|
|
" (0.1, 40.0, 0, -1600.0),\n",
|
|
" (0.525, 41.0, 0, 100.0),\n",
|
|
" (0.55, 40.0, 0, -100.0),\n",
|
|
" (0.325, 57.0, 2, 1700.0),\n",
|
|
" (0.375, 56.0, 2, -100.0),\n",
|
|
" (0.075, 53.0, 2, -300.0),\n",
|
|
" (0.5, 39.0, 0, -1400.0),\n",
|
|
" (0.525, 51.0, 2, 1200.0),\n",
|
|
" (0.7, 46.0, 1, -500.0),\n",
|
|
" (0.3, 40.0, 0, -600.0),\n",
|
|
" (0.05, 39.0, 0, -100.0),\n",
|
|
" (0.55, 44.0, 1, 500.0),\n",
|
|
" (0.65, 37.0, 0, -700.0),\n",
|
|
" (0.675, 36.0, 0, -100.0),\n",
|
|
" (0.25, 34.0, 0, -200.0),\n",
|
|
" (0.7, 53.0, 2, 1900.0),\n",
|
|
" (0.85, 51.0, 2, -200.0),\n",
|
|
" (0.9, 42.0, 1, -900.0),\n",
|
|
" (1.15, 41.0, 1, -100.0),\n",
|
|
" (0.25, 39.0, 0, -200.0),\n",
|
|
" (0.025, 40.0, 0, 100.0),\n",
|
|
" (0.1, 48.0, 2, 800.0),\n",
|
|
" (0.475, 42.0, 1, -600.0),\n",
|
|
" (0.125, 49.0, 2, 700.0),\n",
|
|
" (1.0, 44.0, 1, -500.0),\n",
|
|
" (0.35, 46.0, 2, 200.0),\n",
|
|
" (0.075, 53.0, 2, 700.0),\n",
|
|
" (0.725, 54.0, 2, 100.0),\n",
|
|
" (0.3, 49.0, 2, -500.0),\n",
|
|
" (0.2, 43.0, 1, -600.0),\n",
|
|
" (0.1, 42.0, 0, -100.0),\n",
|
|
" (0.25, 46.0, 1, 400.0),\n",
|
|
" (0.2, 44.0, 0, -200.0),\n",
|
|
" (0.975, 45.0, 0, 100.0),\n",
|
|
" (0.55, 44.0, 1, -100.0),\n",
|
|
" (0.025, 41.0, 0, -300.0),\n",
|
|
" (0.225, 48.0, 1, 700.0),\n",
|
|
" (0.425, 50.0, 1, 200.0),\n",
|
|
" (0.525, 49.0, 1, -100.0),\n",
|
|
" (1.45, 48.0, 2, -100.0),\n",
|
|
" (0.025, 50.0, 1, 200.0),\n",
|
|
" (0.175, 51.0, 2, 100.0),\n",
|
|
" (0.275, 52.0, 2, 100.0),\n",
|
|
" (0.025, 49.0, 1, -300.0),\n",
|
|
" (0.35, 51.0, 2, 200.0),\n",
|
|
" (0.4, 46.0, 1, -500.0),\n",
|
|
" (0.4, 53.0, 2, 700.0),\n",
|
|
" (0.075, 44.0, 1, -900.0),\n",
|
|
" (0.7, 45.0, 0, 100.0),\n",
|
|
" (0.35, 51.0, 2, 600.0),\n",
|
|
" (0.1, 43.0, 0, -800.0),\n",
|
|
" (0.4, 42.0, 0, -100.0),\n",
|
|
" (0.175, 39.0, 0, -300.0),\n",
|
|
" (0.275, 49.0, 2, 1000.0),\n",
|
|
" (1.425, 50.0, 2, 100.0),\n",
|
|
" (0.775, 52.0, 2, 200.0),\n",
|
|
" (0.475, 51.0, 2, -100.0),\n",
|
|
" (0.85, 46.0, 1, -500.0),\n",
|
|
" (1.375, 44.0, 1, -200.0),\n",
|
|
" (0.25, 52.0, 2, 800.0),\n",
|
|
" (0.55, 53.0, 2, 100.0),\n",
|
|
" (0.075, 41.0, 0, -1200.0),\n",
|
|
" (1.425, 49.0, 2, 800.0),\n",
|
|
" (0.325, 39.0, 0, -1000.0),\n",
|
|
" (0.525, 41.0, 1, 200.0),\n",
|
|
" (0.3, 56.0, 2, 1500.0),\n",
|
|
" (0.825, 42.0, 1, -1400.0),\n",
|
|
" (0.525, 54.0, 2, 1200.0),\n",
|
|
" (0.15, 53.0, 2, -100.0),\n",
|
|
" (0.075, 39.0, 1, -1400.0),\n",
|
|
" (0.375, 51.0, 2, 1200.0),\n",
|
|
" (0.125, 46.0, 1, -500.0),\n",
|
|
" (0.05, 47.0, 1, 100.0),\n",
|
|
" (0.3, 53.0, 2, 600.0),\n",
|
|
" (0.675, 51.0, 2, -200.0),\n",
|
|
" (1.4, 42.0, 1, -900.0),\n",
|
|
" (0.9, 37.0, 0, -500.0),\n",
|
|
" (0.475, 49.0, 2, 1200.0),\n",
|
|
" (0.425, 36.0, 0, -1300.0),\n",
|
|
" (0.475, 48.0, 2, 1200.0),\n",
|
|
" (0.275, 44.0, 1, -400.0),\n",
|
|
" (1.175, 51.0, 2, 700.0),\n",
|
|
" (0.3, 37.0, 0, -1400.0),\n",
|
|
" (0.45, 41.0, 1, 400.0),\n",
|
|
" (1.375, 39.0, 0, -200.0),\n",
|
|
" (0.225, 52.0, 2, 1300.0),\n",
|
|
" (0.25, 44.0, 1, -800.0),\n",
|
|
" (0.1, 45.0, 1, 100.0),\n",
|
|
" (0.05, 52.0, 2, 700.0),\n",
|
|
" (0.15, 51.0, 2, -100.0),\n",
|
|
" (0.6, 44.0, 1, -700.0),\n",
|
|
" (0.225, 52.0, 2, 800.0),\n",
|
|
" (0.55, 46.0, 1, -600.0),\n",
|
|
" (0.45, 45.0, 1, -100.0),\n",
|
|
" (0.275, 38.0, 0, -700.0),\n",
|
|
" (0.15, 40.0, 0, 200.0),\n",
|
|
" (0.05, 41.0, 0, 100.0),\n",
|
|
" (1.45, 44.0, 1, 300.0),\n",
|
|
" (0.225, 42.0, 1, -200.0),\n",
|
|
" (0.225, 39.0, 0, -300.0),\n",
|
|
" (0.75, 43.0, 1, 400.0),\n",
|
|
" (0.25, 43.0, 0, 0.0),\n",
|
|
" (0.55, 45.0, 0, 200.0),\n",
|
|
" (0.525, 44.0, 0, -100.0),\n",
|
|
" (0.925, 45.0, 1, 100.0),\n",
|
|
" (1.4, 44.0, 1, -100.0),\n",
|
|
" (0.725, 45.0, 0, 100.0),\n",
|
|
" (0.8, 44.0, 0, -100.0),\n",
|
|
" (0.775, 41.0, 0, -300.0)]"
|
|
]
|
|
},
|
|
"execution_count": 342,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"import librosa \n",
|
|
"import numpy as np\n",
|
|
"from scipy.signal import savgol_filter\n",
|
|
"import matplotlib.pyplot as plt\n",
|
|
"from random import randint\n",
|
|
"\n",
|
|
"def filter_data(time, frequency, confidence):\n",
|
|
" data = tuple(data for data in zip(list(time), list(frequency), list(confidence)) if data[2] > 0.1)\n",
|
|
" dev = 0\n",
|
|
" dur = 0\n",
|
|
" for (p1, p2) in pairwise(data):\n",
|
|
" t_diff = (p2[0] - p1[0])\n",
|
|
" dur = round(dur + (p2[0] - p1[0]), 2)\n",
|
|
" if(True):\n",
|
|
" freq1, conf1 = p1[1:3]\n",
|
|
" midi1 = librosa.hz_to_midi(freq1)\n",
|
|
" r_midi1 = np.around(midi1)\n",
|
|
" freq2, conf2 = p2[1:3]\n",
|
|
" midi2 = librosa.hz_to_midi(freq2)\n",
|
|
" r_midi2 = np.around(midi2)\n",
|
|
" #if(r_midi2 != r_midi1):\n",
|
|
" if(True):\n",
|
|
" yield(dur, freq1, conf1, midi1, r_midi1, dev * 100)\n",
|
|
" dev = r_midi2 - r_midi1\n",
|
|
" dur = 0\n",
|
|
"\n",
|
|
"def filter_data(time, frequency, confidence):\n",
|
|
" data = tuple(data for data in zip(list(time), list(frequency), list(confidence)) if data[2] > 0.9)\n",
|
|
" #durs = tuple(round(y[0]-x[0], 2) for (x, y) in pairwise(data)) + ((1,))\n",
|
|
" #data = tuple((d,) + data[i][1:] for i, d in enumerate(durs) if d > 0.01)\n",
|
|
" #print(data)\n",
|
|
" m, rm = [librosa.hz_to_midi(data[0][1]), np.around(librosa.hz_to_midi(data[0][1]))]\n",
|
|
" yield(data[0] + (m, rm, 0,))\n",
|
|
" for i, [t, f, c] in enumerate(data):\n",
|
|
" nm, nrm = [librosa.hz_to_midi(f), np.around(librosa.hz_to_midi(f))]\n",
|
|
" if((0 < i < len(data) - 1) and (nrm != rm)):\n",
|
|
" m, rm, d = [nm, nrm, nrm - rm]\n",
|
|
" yield(t, f, c, m, rm, d * 100)\n",
|
|
" \n",
|
|
"t_min = 50\n",
|
|
"t_max = 600\n",
|
|
"f_time, f_frequency, f_confidence = [time[t_min:], frequency[t_min:], confidence[t_min:]]\n",
|
|
"s_confidence = savgol_filter(f_confidence, 30, 4)\n",
|
|
"#plt.plot(f_time, f_confidence)\n",
|
|
"#plt.plot(f_time, s_confidence, color='red')\n",
|
|
"#plt.show()\n",
|
|
"\n",
|
|
"def freqs_to_midi(freqs, confs):\n",
|
|
" last_confident_value = 51\n",
|
|
" for f, c in zip(freqs, confs):\n",
|
|
" if c > 0.9:\n",
|
|
" last_confident_value = librosa.hz_to_midi(f)\n",
|
|
" yield last_confident_value\n",
|
|
" \n",
|
|
"#m_time, midi = zip(*[[t, librosa.hz_to_midi(f)] for t, f, c in zip(f_time, f_frequency, s_confidence) if c > 0.0])\n",
|
|
"#nr_midi = np.interp(f_time, m_time, midi)\n",
|
|
"#r_midi = np.interp(f_time, m_time, np.around(midi))\n",
|
|
"#midi\n",
|
|
"\n",
|
|
"#data_v2 = tuple(d + (2,) for d in zip(f_time, f_frequency, s_confidence))\n",
|
|
"#data_v1 = tuple(d + (1,) for d in zip([t + 2 for t in f_time], f_frequency, s_confidence))\n",
|
|
"#data_v0 = tuple(d + (0,) for d in zip([t + 4 for t in f_time], f_frequency, s_confidence))\n",
|
|
"\n",
|
|
"#data = data_v2 + data_v1 + data_v0\n",
|
|
"#data = sorted(data)\n",
|
|
"#f_time = tuple(d[0] for d in data)\n",
|
|
"#ins = tuple(d[-1] for d in data)\n",
|
|
"\n",
|
|
"def snap_midi(midi):\n",
|
|
" r_midi = np.around(midi)\n",
|
|
" s_midi = np.around(savgol_filter(midi, 30, 5))\n",
|
|
" last_val = s_midi[0]\n",
|
|
" for i, (r1, r2) in enumerate(pairwise(r_midi)):\n",
|
|
" if r1 != r2:\n",
|
|
" last_val = s_midi[i+5]\n",
|
|
" yield last_val\n",
|
|
" yield last_val\n",
|
|
"\n",
|
|
"def format_midi(midi):\n",
|
|
" last_val = midi[0]\n",
|
|
" dur = 1\n",
|
|
" dev = 0.0\n",
|
|
" first_flag = True\n",
|
|
" for i, (m1, m2) in enumerate(pairwise(midi)):\n",
|
|
" if m1 != m2:\n",
|
|
" #yield (dur / 40, last_val, dev * 100)\n",
|
|
" if first_flag or dur < 10:\n",
|
|
" yield (10 / 40.0, last_val, dev * 100)\n",
|
|
" first_flag = False\n",
|
|
" else:\n",
|
|
" size = int(dur / 20)\n",
|
|
" \n",
|
|
" #sep = randint(1, size)\n",
|
|
" #yield (10 / 40.0 * sep, last_val, dev * 100)\n",
|
|
" #yield (10 / 40.0 * (size - sep), last_val, 0.0)\n",
|
|
"\n",
|
|
" b_dur = randint(5, 10)\n",
|
|
" yield (randint(10, 20) / 40.0, last_val, dev * 100)\n",
|
|
" for i in range(size):\n",
|
|
" yield (randint(10, 20) / 40.0, last_val, 0.0)\n",
|
|
" \n",
|
|
" last_val = m2\n",
|
|
" dur = 1\n",
|
|
" dev = m2 - m1\n",
|
|
" else:\n",
|
|
" dur += 1\n",
|
|
"\n",
|
|
"def filter_midi(midi):\n",
|
|
" last_val = midi[0][-1]\n",
|
|
" ins = 2\n",
|
|
" dur = 1\n",
|
|
" dev = 0.0\n",
|
|
" first_flag = True\n",
|
|
" for i, (m1, m2) in enumerate(pairwise(midi)):\n",
|
|
" if m1 != m2:\n",
|
|
" print([m1, m2])\n",
|
|
" print(last_val)\n",
|
|
" print(ins)\n",
|
|
" yield (dur / 40, last_val, ins, dev * 100)\n",
|
|
"\n",
|
|
" #if first_flag or dur < 10:\n",
|
|
" # yield (10 / 40.0, last_val, ins, dev * 100)\n",
|
|
" # first_flag = False\n",
|
|
" #else:\n",
|
|
" # size = int(dur / 10)\n",
|
|
"\n",
|
|
" # b_dur = randint(5, 10)\n",
|
|
" # yield (randint(5, 10) / 40.0, last_val, ins, dev * 100)\n",
|
|
" # for i in range(size):\n",
|
|
" # yield (randint(5, 10) / 40.0, last_val, ins, 0.0)\n",
|
|
" \n",
|
|
"\n",
|
|
" ins = [i for i, m in enumerate(m1) if m1[i] != m2[i]][0]\n",
|
|
" #ins = 2\n",
|
|
" dur = 1\n",
|
|
" dev = m2[ins] - last_val\n",
|
|
" last_val = m2[ins]\n",
|
|
" else:\n",
|
|
" dur += 1\n",
|
|
"\n",
|
|
" \n",
|
|
"midi = list(freqs_to_midi(f_frequency, f_confidence))\n",
|
|
"\n",
|
|
"#plt.plot(f_time, midi)\n",
|
|
"#plt.plot(f_time, savgol_filter(midi, 30, 5), color='yellow')\n",
|
|
"#plt.plot(f_time, np.around(savgol_filter(midi, 30, 5)), color='red')\n",
|
|
"#plt.plot(f_time, np.around(midi), color='green')\n",
|
|
"#plt.plot(f_time, list(snap_midi(midi)), color='blue')\n",
|
|
"#plt.show()\n",
|
|
"\n",
|
|
"midi = tuple(snap_midi(midi))\n",
|
|
"#midi = zip(\n",
|
|
"# tuple(midi[0] - 12 for i in range(2 * 40)) + tuple(m - 12 for m in midi for r in range(2)),\n",
|
|
"# tuple(midi[0] - 7 for i in range(1 * 40)) + tuple(m - 7 for m in midi for r in range(2)) + tuple(midi[-1] - 12 for i in range(5 * 40)),\n",
|
|
"# tuple(m - 0 for m in midi) + tuple(midi[-1] - 0 for i in range(10 * 40)))\n",
|
|
"\n",
|
|
"midi = zip(\n",
|
|
" tuple(midi[0] - 12 for i in range(2 * 40)) + tuple(chain(*tuple([m - 12 for r in range(randint(2, 4))] for m in midi))),\n",
|
|
" tuple(midi[0] - 7 for i in range(1 * 40)) + tuple(chain(*tuple([m - 7 for r in range(randint(1, 3))] for m in midi))) + tuple(midi[-1] - 12 for i in range(5 * 40)),\n",
|
|
" tuple(chain(*tuple([m for r in range(randint(1, 2))] for m in midi))) + tuple(midi[-1] - 0 for i in range(10 * 40)))\n",
|
|
"\n",
|
|
"#midi = zip(\n",
|
|
"# tuple(m - 24 for m in midi) + tuple(midi[-1] - 24 for i in range(5 * 40)),\n",
|
|
"# tuple(midi[0] - 12 for i in range(3 * 40)) + tuple(m - 12 for m in midi) + tuple(midi[-1] - 12 for i in range(2 * 40)),\n",
|
|
"# tuple(midi[0] - 0 for i in range(5 * 40)) + tuple(m - 0 for m in midi))\n",
|
|
"\n",
|
|
"target_melody_data = list(filter_midi(list(midi)))\n",
|
|
"target_melody_data\n",
|
|
"\n",
|
|
"\n",
|
|
"#target_melody_data = list(filter_data(time, frequency, confidence))\n",
|
|
"#target_melody_data\n",
|
|
"#durs = tuple(round(y[0]-x[0], 2) for (x, y) in pairwise(target_melody_data)) + ((1,))\n",
|
|
"#print(durs)\n",
|
|
"#target_melody_data = tuple((d,) + target_melody_data[i][1:] for i, d in enumerate(durs) if d > 0.1)\n",
|
|
"#list(target_melody_data)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 319,
|
|
"id": "2b311f14-5061-4f51-9ee7-bd19a1d938fc",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(1, 1, 2, 2, 2, 2, 3, 3, 3)"
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]
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},
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"execution_count": 319,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"tuple(chain(*tuple([m for r in range(randint(2, 4))] for m in [1, 2, 3])))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 380,
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"id": "be01e4ae-e629-42ff-9d95-f77d510c13bf",
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"-200.0\n",
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"1900.0\n",
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"800.0\n",
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"-600.0\n",
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"-500.0\n",
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"100.0\n",
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"(-1113.359564647021, -615.3145655124083, -229.0008516475741)\n",
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"-500.0\n",
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"(-513.359564647021, -15.314565512408308, 215.8595280184661)\n",
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"-600.0\n",
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"(-652.9663784506586, 84.68543448759169, 315.8595280184661)\n",
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"-100.0\n",
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"400.0\n",
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"(-697.8267581166988, -586.095472846921, 115.85952801846611)\n",
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"-200.0\n",
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"(-797.8267581166988, -566.6526645858237, 15.859528018466108)\n",
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"100.0\n",
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"(-697.8267581166988, -466.6526645858237, 4.128242748688194)\n",
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"-100.0\n",
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"(-397.8267581166988, -166.6526645858237, -11.513044251864414)\n",
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"-300.0\n",
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"(-1097.8267581166988, -866.6526645858237, -52.96637845065902)\n",
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"700.0\n",
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"(-1221.7922849197837, -1066.6526645858237, -252.96637845065902)\n",
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"(-1121.7922849197837, -854.9213793160461, -152.96637845065902)\n",
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"-100.0\n",
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"(-1021.7922849197837, -790.6181913889084, -52.96637845065902)\n",
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"-100.0\n",
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"(-1221.7922849197837, -990.6181913889084, -176.9319052537437)\n",
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"200.0\n",
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"(-1245.7578117228686, -1090.6181913889084, -276.9319052537437)\n",
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"100.0\n",
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"(-1421.7922849197837, -1190.6181913889084, -376.9319052537437)\n",
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"100.0\n",
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"(-1121.7922849197837, -308.105998784618, -76.93190525374371)\n",
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"-300.0\n",
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|
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"(-1210.060999650006, -508.105998784618, -276.9319052537437)\n",
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"200.0\n",
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"(-710.0609996500059, -8.10599878461801, 103.62528648515934)\n",
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"-500.0\n",
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|
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"700.0\n",
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|
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"(-510.0609996500059, 191.894001215382, 303.62528648515934)\n",
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"-900.0\n",
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"(-610.0609996500059, -498.32971438022764, 203.62528648515934)\n",
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"100.0\n",
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"(-1210.060999650006, -823.7472857851706, -396.37471351484066)\n",
|
|
"600.0\n",
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"(-410.0609996500059, -23.74728578517056, 87.98399948460644)\n",
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"-800.0\n",
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"(-310.0609996500059, -43.19009404626809, 187.98399948460644)\n",
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"-100.0\n",
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"(-241.23509318088088, 256.8099059537319, 487.98399948460644)\n",
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"-300.0\n",
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"(-1241.235093180881, -743.1900940462681, -245.14509491165597)\n",
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"1000.0\n",
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"(-1229.5038079111032, -843.1900940462681, -345.145094911656)\n",
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"200.0\n",
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"(-1174.3641875771434, -943.1900940462681, -241.2350931808811)\n",
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"-100.0\n",
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"(-674.3641875771434, -443.1900940462681, 27.59081328824402)\n",
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"-500.0\n",
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"-200.0\n",
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"(-1274.3641875771434, -1043.190094046268, -229.5038079111032)\n",
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"800.0\n",
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"(-1298.3297143802283, -1143.190094046268, -329.5038079111032)\n",
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"100.0\n",
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"(-98.32971438022832, 56.80990595373191, 287.9839994846068)\n",
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"-1200.0\n",
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"(-898.3297143802283, -743.1900940462681, 70.4961920888968)\n",
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"800.0\n",
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"(101.67028561977168, 256.8099059537319, 487.9839994846068)\n",
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"-1000.0\n",
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"(-756.8763801814338, 56.80990595373191, 287.9839994846068)\n",
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"1500.0\n",
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"-1400.0\n",
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"1200.0\n",
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"-100.0\n",
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"-1400.0\n",
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"1200.0\n",
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"(-758.8313810468205, -372.5176671819861, 54.85490508834437)\n",
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"-500.0\n",
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"100.0\n",
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"(-1458.8313810468205, -1072.517667181986, -370.5626663165988)\n",
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"600.0\n",
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"-200.0\n",
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"(-239.38857278572323, 27.4823328180139, 258.6564263488888)\n",
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"-900.0\n",
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"(296.30823928713926, 527.4823328180139, 758.6564263488888)\n",
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"-500.0\n",
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"1200.0\n",
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"(396.30823928713926, 627.4823328180139, 782.6219531519735)\n",
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"-1300.0\n",
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"((0, 0, 0, 0), (3, 0, 0, -1), (-2, 0, 1, 0))\n",
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"(-803.6917607128607, -572.5176671819861, 9.994525422303923)\n",
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"1200.0\n",
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"((0, 0, 0, 0), (3, 0, 0, -1), (3, 0, -1, 0))\n",
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"(-403.69176071286074, -172.5176671819861, -17.3780468480266)\n",
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"-400.0\n",
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"(-1103.6917607128607, -872.5176671819861, -58.83138104682121)\n",
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"700.0\n",
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"(296.30823928713926, 527.4823328180139, 682.6219531519735)\n",
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"-1400.0\n",
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"((0, 0, 0, 0), (3, 0, 0, -1), (-2, 0, 1, 0))\n",
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"(-103.69176071286074, 51.4478596210987, 282.62195315197346)\n",
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"400.0\n",
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"((0, 0, 0, 0), (-5, 0, 1, 1), (-2, 0, 1, 0))\n",
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"(-219.33304771341363, 251.4478596210987, 482.62195315197346)\n",
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"-200.0\n",
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"(-1519.3330477134136, -1048.5521403789012, -550.5071412442891)\n",
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"1300.0\n",
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"((0, 0, 0, 0), (-4, 1, 0, 1), (-2, 0, 0, 1))\n",
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"(-719.3330477134136, -248.55214037890119, -17.378046848026543)\n",
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"-800.0\n",
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"(-819.3330477134136, -503.6917607128607, -117.37804684802654)\n",
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"100.0\n",
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"(-1519.3330477134136, -1203.6917607128607, -705.6467615782486)\n",
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"700.0\n",
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"((0, 0, 0, 0), (1, 1, -1, 0), (3, 0, -1, 0))\n",
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"(-1419.3330477134136, -1033.0193338485788, -605.6467615782486)\n",
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"-100.0\n",
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"(-719.3330477134136, -333.01933384857875, -17.378046848026543)\n",
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"-700.0\n",
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"((0, 0, 0, 0), (-2, 0, 1, 0), (-1, 1, 0, 0))\n",
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"(-1519.3330477134136, -1133.0193338485788, -431.0643329831918)\n",
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"800.0\n",
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"((0, 0, 0, 0), (-2, 0, 1, 0), (-3, 1, 1, 0))\n",
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"(-919.3330477134136, -533.0193338485788, -34.97433471396664)\n",
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"-600.0\n",
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"((0, 0, 0, 0), (-2, 0, 1, 0), (0, -1, 1, 0))\n",
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"(-819.3330477134136, -433.01933384857875, -5.646761578248629)\n",
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"-100.0\n",
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"((0, 0, 0, 0), (-2, 0, 1, 0), (3, 0, -1, 0))\n",
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"(-119.33304771341363, 266.98066615142125, 378.7119514211985)\n",
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"-700.0\n",
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"(-319.33304771341363, -88.1589541825386, 178.71195142119848)\n",
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"200.0\n",
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"(-419.33304771341363, -188.1589541825386, -33.01933384857915)\n",
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"100.0\n",
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"(-719.3330477134136, -488.1589541825386, -17.378046848026543)\n",
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"300.0\n",
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"((0, 0, 0, 0), (3, 0, 0, -1), (-1, 1, 0, 0))\n",
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"(-519.3330477134136, -288.1589541825386, -21.288048578801522)\n",
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"-200.0\n",
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"((0, 0, 0, 0), (3, 0, 0, -1), (2, -1, 0, 0))\n",
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"(-219.33304771341363, 11.841045817461406, 166.98066615142085)\n",
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"-300.0\n",
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"((0, 0, 0, 0), (3, 0, 0, -1), (-2, 0, 1, 0))\n",
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"(-619.3330477134136, -388.1589541825386, -1.845240317704338)\n",
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"400.0\n",
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"((0, 0, 0, 0), (3, 0, 0, -1), (1, 0, 1, -1))\n",
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"(-499.8902394523164, -388.1589541825386, -1.845240317704338)\n",
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"0.0\n",
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"((0, 0, 0, 0), (4, -1, -1, 0), (2, -1, 0, 0))\n",
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"(-699.8902394523163, -588.1589541825385, 113.79604668284856)\n",
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"200.0\n",
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"((0, 0, 0, 0), (4, -1, -1, 0), (3, 0, -1, 0))\n",
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"(-599.8902394523163, -488.15895418253854, -101.84524031770434)\n",
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"-100.0\n",
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"((0, 0, 0, 0), (4, -1, -1, 0), (2, -1, 0, 0))\n",
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"(-699.8902394523163, -588.1589541825385, 113.79604668284856)\n",
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"100.0\n",
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"((0, 0, 0, 0), (4, -1, -1, 0), (3, 0, -1, 0))\n",
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"(-599.8902394523163, -488.15895418253854, -101.84524031770434)\n",
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"-100.0\n",
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"((0, 0, 0, 0), (4, -1, -1, 0), (2, -1, 0, 0))\n",
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"(-699.8902394523163, -588.1589541825385, 113.79604668284856)\n",
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"100.0\n",
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"((0, 0, 0, 0), (4, -1, -1, 0), (3, 0, -1, 0))\n",
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"(-599.8902394523163, -488.15895418253854, -101.84524031770434)\n",
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"-100.0\n",
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"((0, 0, 0, 0), (4, -1, -1, 0), (2, -1, 0, 0))\n",
|
|
"(-574.4726680473734, -188.15895418253854, 198.15475968229566)\n",
|
|
"-300.0\n",
|
|
"(1.525, 0.425, 1.225, 0.65, 0.375, 0.65, 0.175, 0.925, 0.4, 0.4, 0.7, 0.25, 0.625, 0.1, 1.175, 0.475, 0.1, 0.225, 0.625, 0.525, 0.2, 0.625, 0.05, 0.175, 0.65, 1.0, 0.075, 0.075, 1.2, 0.525, 0.3, 0.075, 1.225, 0.325, 0.3, 0.15, 0.075, 0.525, 0.225, 2.275, 0.125, 0.025, 0.225, 0.025, 0.125, 0.25, 0.25, 0.8, 0.125, 0.325, 0.275, 0.375, 0.425, 0.125, 1.1, 0.375, 0.05, 0.1, 0.4, 1.15, 0.15, 0.1, 0.075, 0.75, 0.575, 0.05, 0.325, 0.9, 0.375, 0.575, 0.05, 0.125, 0.075, 0.125, 0.4, 0.275, 0.125, 0.525, 0.65, 0.975, 0.725, 0.275, 0.175, 1.65, 0.7, 0.1, 0.05, 0.225, 0.4, 0.375, 0.325, 0.2, 0.225, 0.425, 2.05, 0.025, 0.125, 0.075, 0.45, 0.075, 0.225, 0.075, 0.35, 0.15, 0.3, 0.175, 0.1, 0.525, 0.55, 0.325, 0.375, 0.075, 0.5, 0.525, 0.7, 0.3, 0.05, 0.55, 0.65, 0.675, 0.25, 0.7, 0.85, 0.9, 1.15, 0.25, 0.025, 0.1, 0.475, 0.125, 1.0, 0.35, 0.075, 0.725, 0.3, 0.2, 0.1, 0.25, 0.2, 0.975, 0.55, 0.025, 0.225, 0.425, 0.525, 1.45, 0.025, 0.175, 0.275, 0.025, 0.35, 0.4, 0.4, 0.075, 0.7, 0.35, 0.1, 0.4, 0.175, 0.275, 1.425, 0.775, 0.475, 0.85, 1.375, 0.25, 0.55, 0.075, 1.425, 0.325, 0.525, 0.3, 0.825, 0.525, 0.15, 0.075, 0.375, 0.125, 0.05, 0.3, 0.675, 1.4, 0.9, 0.475, 0.425, 0.475, 0.275, 1.175, 0.3, 0.45, 1.375, 0.225, 0.25, 0.1, 0.05, 0.15, 0.6, 0.225, 0.55, 0.45, 0.275, 0.15, 0.05, 1.45, 0.225, 0.225, 0.75, 0.25, 0.55, 0.525, 0.925, 1.4, 0.725, 0.8, 0.775)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"path = stochastic_hamiltonian(graph)\n",
|
|
"#durs = tuple(round(y[0]-x[0], 2) for (x, y) in pairwise(target_melody_data)) + ((1,))\n",
|
|
"durs = tuple(d[0] for d in target_melody_data)\n",
|
|
"path_to_chords(path, root)\n",
|
|
"print(durs)\n",
|
|
"write_chord_sequence(list(zip(durs, path_to_chords(path, root))))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 381,
|
|
"id": "57c834bf-fee7-4ef4-b648-2173099fbb56",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from random import choice, choices\n",
|
|
"\n",
|
|
"def hd_sum(chord):\n",
|
|
" distances = []\n",
|
|
" size = len(chord)\n",
|
|
" for i in range(size):\n",
|
|
" for j in range(i+1, size):\n",
|
|
" distances += [sum([abs(dist) * log(dims[idx], 2) for idx, dist in enumerate(pitch_difference(chord[i], chord[j]))])]\n",
|
|
" return sum(distances)\n",
|
|
" \n",
|
|
"def next_edges(source): \n",
|
|
"\n",
|
|
" def transpose_to_nearest(hs_array1, hs_array2):\n",
|
|
" expanded_pitch = hs_array2\n",
|
|
" frequency_ratio = hs_array_to_fr(list(hs_array2)) / hs_array_to_fr(list(hs_array1))\n",
|
|
" if frequency_ratio < 1:\n",
|
|
" while frequency_ratio < 1:\n",
|
|
" frequency_ratio *= 2\n",
|
|
" expanded_pitch[0] += 1\n",
|
|
" elif frequency_ratio >= 2:\n",
|
|
" while frequency_ratio >= 2:\n",
|
|
" frequency_ratio *= 1/2\n",
|
|
" expanded_pitch[0] += -1\n",
|
|
" return tuple(expanded_pitch)\n",
|
|
" \n",
|
|
" def gen_candidates(chord):\n",
|
|
" for sdx, s_pitch in enumerate(chord):\n",
|
|
" for cdx, c_pitch in enumerate(chord):\n",
|
|
" if sdx != cdx: \n",
|
|
" for ddx, dim in enumerate(c_pitch[1:]):\n",
|
|
" for alt in [-1, 1]:\n",
|
|
" new_pitch = list(c_pitch)\n",
|
|
" new_pitch[ddx+1] += alt\n",
|
|
" new_pitch_up = transpose_to_nearest(s_pitch, new_pitch)\n",
|
|
" new_pitch_down = list(new_pitch_up)\n",
|
|
" new_pitch_down[0] += -1\n",
|
|
" new_chord = list(chord)\n",
|
|
" new_chord[sdx] = tuple(new_pitch_up)\n",
|
|
" #if tuple(new_chord) != chord and max(new_pitch_up[1:]) <= 1 and min(new_pitch_up[1:]) >= 0 and sum(new_pitch_up[1:]) <= 2:\n",
|
|
" if tuple(new_chord) != chord:\n",
|
|
" yield tuple(new_chord)\n",
|
|
" new_chord[sdx] = tuple(new_pitch_down)\n",
|
|
" if tuple(new_chord) != chord:\n",
|
|
" #if tuple(new_chord) != chord and max(new_pitch_down[1:]) <= 1 and min(new_pitch_down[1:]) >= 0 and sum(new_pitch_up[1:]) <= 2:\n",
|
|
" yield tuple(new_chord)\n",
|
|
"\n",
|
|
" for candidate in gen_candidates(source):\n",
|
|
"\n",
|
|
" movements = {\n",
|
|
" pitch:\n",
|
|
" {\n",
|
|
" 'destination': candidate[index], \n",
|
|
" 'cent_difference': cent_difference(pitch, candidate[index])\n",
|
|
" } for index, pitch in enumerate(source)}\n",
|
|
" \n",
|
|
" yield (tuple(source), tuple(candidate), {'transposition': root, 'movements': movements},)\n",
|
|
"\n",
|
|
"\n",
|
|
"# This is for the beginning / breysheet - redone to calculate next chord as a function and not from the graph\n",
|
|
"def stochastic_hamiltonian(graph):\n",
|
|
"\n",
|
|
" #try making this omit the moving voice\n",
|
|
" def movement_size_weights(edges):\n",
|
|
" \n",
|
|
" def max_cent_diff(edge):\n",
|
|
" res = max([v for val in edge[2]['movements'].values() if (v:=val['cent_difference']) is not None])\n",
|
|
" return res\n",
|
|
" \n",
|
|
" def min_cent_diff(edge):\n",
|
|
" res = [v for val in edge[2]['movements'].values() if (v:=val['cent_difference']) is not None]\n",
|
|
" res.remove(0)\n",
|
|
" return min(res)\n",
|
|
" \n",
|
|
" for e in edges:\n",
|
|
" yield 10 if ((max_cent_diff(e) < 200) and (min_cent_diff(e)) >= 50) else 1\n",
|
|
"\n",
|
|
" def hamiltonian_weights(edges):\n",
|
|
" for e in edges:\n",
|
|
" yield 10 if e[1] not in [path_edge[0] for path_edge in path] else 1 / graph.nodes[e[1]]['count']\n",
|
|
" \n",
|
|
" def contrary_motion_weights(edges):\n",
|
|
"\n",
|
|
" def is_contrary(edge):\n",
|
|
" cent_diffs = [v for val in edge[2]['movements'].values() if (v:=val['cent_difference']) is not None]\n",
|
|
" cent_diffs.sort()\n",
|
|
" return (cent_diffs[0] < 0) and (cent_diffs[1] == 0) and (cent_diffs[2] > 0)\n",
|
|
"\n",
|
|
" for e in edges:\n",
|
|
" yield 2 if is_contrary(e) else 1\n",
|
|
" \n",
|
|
" def is_directly_tunable_weights(edges):\n",
|
|
" for e in edges:\n",
|
|
" yield 10 if e[2]['is_directly_tunable'] else 1\n",
|
|
"\n",
|
|
" def symdiff_weights(edges):\n",
|
|
" for e in edges:\n",
|
|
" yield 1000 if e[2]['symmetric_difference'] == 2 else 1\n",
|
|
"\n",
|
|
" def transposition_weight(edges):\n",
|
|
" for e in edges:\n",
|
|
" yield 100 if 0 <= hs_array_to_cents(e[2]['transposition']) < 100 else 1\n",
|
|
"\n",
|
|
" def in_range(edges):\n",
|
|
" for e in edges:\n",
|
|
" s_chord = sorted(e[1], key=hs_array_to_fr)\n",
|
|
" yield 5 if hs_array_to_fr(sorted(e[1], key=hs_array_to_fr)[0]) >= 0.25 else 0\n",
|
|
"\n",
|
|
" def hd_weight(edges):\n",
|
|
" for e in edges:\n",
|
|
" yield 2 * (1/pow(hd_sum(e[1]), 1))\n",
|
|
"\n",
|
|
" def is_sustained_voice(edges, voice):\n",
|
|
" \n",
|
|
" def is_sustained(edge):\n",
|
|
" source = list(edge[0])\n",
|
|
" ordered_source = sorted(source, key=hs_array_to_fr) \n",
|
|
" destination = [transpose_pitch(edge[2]['movements'][p]['destination'], edge[2]['transposition']) for p in source]\n",
|
|
" ordered_destination = sorted(destination, key=hs_array_to_fr)\n",
|
|
" return ordered_source[voice] == ordered_destination[voice]\n",
|
|
"\n",
|
|
" for e in edges:\n",
|
|
" yield 10 if is_sustained(e) else 1\n",
|
|
"\n",
|
|
" def favor_bass(edges, ins):\n",
|
|
"\n",
|
|
" def ins_check(edge, ins):\n",
|
|
" source = list(edge[0])\n",
|
|
" ordered_source = sorted(source, key=hs_array_to_fr) \n",
|
|
" destination = [transpose_pitch(edge[2]['movements'][p]['destination'], edge[2]['transposition']) for p in source]\n",
|
|
" ordered_destination = sorted(destination, key=hs_array_to_fr)\n",
|
|
" if ins == 2:\n",
|
|
" return 1\n",
|
|
" elif ins == 1 and ordered_source[0] != ordered_destination[0]:\n",
|
|
" return 1\n",
|
|
" else:\n",
|
|
" return 0\n",
|
|
"\n",
|
|
" for e in edges:\n",
|
|
" yield ins_check(e, ins)\n",
|
|
"\n",
|
|
" def voice_crossing_weights(edges):\n",
|
|
" \n",
|
|
" def has_voice_crossing(edge):\n",
|
|
" source = list(edge[0])\n",
|
|
" ordered_source = sorted(source, key=hs_array_to_fr) \n",
|
|
" source_order = [ordered_source.index(p) for p in source]\n",
|
|
" destination = [transpose_pitch(edge[2]['movements'][p]['destination'], edge[2]['transposition']) for p in source]\n",
|
|
" ordered_destination = sorted(destination, key=hs_array_to_fr)\n",
|
|
" destination_order = [ordered_destination.index(p) for p in destination]\n",
|
|
" return source_order != destination_order\n",
|
|
"\n",
|
|
" for e in edges:\n",
|
|
" yield 10 if not has_voice_crossing(e) else 0\n",
|
|
"\n",
|
|
" def is_bass_rooted(chord):\n",
|
|
" return max([sum(abs(p) for p in collapse_pitch(pitch_difference(chord[0], p))) for p in chord[1:]]) == 1\n",
|
|
"\n",
|
|
" def target_melody_weights(edges, target, c_devs, voice):\n",
|
|
"\n",
|
|
" def target_weight(edge, target, c_devs, voice):\n",
|
|
" candidate_diffs = []\n",
|
|
" for idx, dev in enumerate(c_devs):\n",
|
|
" if(idx == voice):\n",
|
|
" source = list(edge[0])\n",
|
|
" ordered_source = sorted(source, key=hs_array_to_fr) \n",
|
|
" candidate_diff = edge[2]['movements'][ordered_source[idx]]['cent_difference']\n",
|
|
" candidate_diffs += [abs(dev + candidate_diff - target)]\n",
|
|
" #return 1/pow(1.1, min(candidate_diffs))\n",
|
|
" return 10 if min(candidate_diffs) < 40 else 1/pow(1.1, min(candidate_diffs))\n",
|
|
" \n",
|
|
" for e in edges:\n",
|
|
" yield target_weight(e, target, c_devs, voice)\n",
|
|
" \n",
|
|
" check_graph = graph.copy()\n",
|
|
" next_node = choice(list(graph.nodes()))\n",
|
|
" check_graph.remove_node(next_node)\n",
|
|
" for node in graph.nodes(data=True):\n",
|
|
" node[1]['count'] = 1\n",
|
|
" path = []\n",
|
|
" s_next_node = sorted(next_node, key=hs_array_to_fr)\n",
|
|
" c_devs = (cent_difference(s_next_node[2], s_next_node[0]), cent_difference(s_next_node[2], s_next_node[1]), 0,)\n",
|
|
" #c_devs = (0, cent_difference(s_next_node[0], s_next_node[1]), cent_difference(s_next_node[0], s_next_node[2]),)\n",
|
|
" print(c_devs)\n",
|
|
" while (nx.number_of_nodes(check_graph) > 0) and (len(path) < len(target_melody_data)-1):\n",
|
|
" #out_edges = list(graph.out_edges(next_node, data=True))\n",
|
|
" out_edges = list(next_edges(next_node))\n",
|
|
" target = target_melody_data[len(path)+1][-1]\n",
|
|
" ins = target_melody_data[len(path)+1][-2]\n",
|
|
" factors = [\n",
|
|
" #movement_size_weights(out_edges), \n",
|
|
" #hamiltonian_weights(out_edges), \n",
|
|
" #contrary_motion_weights(out_edges), \n",
|
|
" #is_directly_tunable_weights(out_edges),\n",
|
|
" voice_crossing_weights(out_edges),\n",
|
|
" #transposition_weight(out_edges),\n",
|
|
" #is_sustained_voice(out_edges, 0),\n",
|
|
" target_melody_weights(out_edges, target, c_devs, ins),\n",
|
|
" #symdiff_weights(out_edges),\n",
|
|
" hd_weight(out_edges),\n",
|
|
" #favor_bass(out_edges, ins),\n",
|
|
" #in_range(out_edges)\n",
|
|
" ]\n",
|
|
" weights = [prod(a) for a in zip(*factors)]\n",
|
|
" edge = choices(out_edges, weights=weights)[0]\n",
|
|
" next_node = edge[1]\n",
|
|
" node[1]['count'] += 1\n",
|
|
" path.append(edge)\n",
|
|
" s_chord = tuple(sorted(edge[0], key=hs_array_to_fr))\n",
|
|
" c_devs = tuple(c_devs[pdx] + edge[2]['movements'][pitch]['cent_difference'] - target_melody_data[len(path)][-1] for pdx, pitch in enumerate(s_chord))\n",
|
|
" print(s_chord)\n",
|
|
" print(c_devs)\n",
|
|
" print(target_melody_data[len(path)][-2])\n",
|
|
" print(target_melody_data[len(path)][-1])\n",
|
|
" if next_node in check_graph.nodes:\n",
|
|
" check_graph.remove_node(next_node)\n",
|
|
" return path"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 382,
|
|
"id": "8912c650-a43d-4539-ae24-b5acf9bc543d",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"(-1044.8603796660402, -231.17409353087487, 0)\n",
|
|
"((0, 0, 0, 0), (3, 0, -1, 0), (6, 0, -1, -1))\n",
|
|
"(-1244.8603796660402, -431.17409353087487, -44.86037966604022)\n",
|
|
"2\n",
|
|
"200.0\n",
|
|
"((0, 0, 0, 0), (3, 0, -1, 0), (1, 0, 0, 0))\n",
|
|
"(-1044.8603796660402, -231.17409353087487, 0.0)\n",
|
|
"2\n",
|
|
"-200.0\n",
|
|
"((0, 0, 0, 0), (3, 0, -1, 0), (6, 0, -1, -1))\n",
|
|
"(-544.8603796660402, 1.955000865387774, 500.0)\n",
|
|
"1\n",
|
|
"-500.0\n",
|
|
"((0, 0, 0, 0), (4, 1, -1, -1), (6, 0, -1, -1))\n",
|
|
"(-344.8603796660402, -1.9550008653875466, 700.0)\n",
|
|
"1\n",
|
|
"-200.0\n",
|
|
"((0, 0, 0, 0), (7, -1, -1, -1), (6, 0, -1, -1))\n",
|
|
"(-844.8603796660402, -501.95500086538755, -3.910001730774866)\n",
|
|
"2\n",
|
|
"500.0\n",
|
|
"((0, 0, 0, 0), (7, -1, -1, -1), (9, -2, -1, -1))\n",
|
|
"(-744.8603796660402, -401.95500086538755, -15.641287000552666)\n",
|
|
"2\n",
|
|
"-100.0\n",
|
|
"((0, 0, 0, 0), (7, -1, -1, -1), (5, -1, 0, -1))\n",
|
|
"(-17.5962878659401, 298.04499913461245, 684.3587129994473)\n",
|
|
"0\n",
|
|
"-700.0\n",
|
|
"((6, -2, 0, -1), (7, -1, -1, -1), (5, -1, 0, -1))\n",
|
|
"(-2.842170943040401e-14, 498.04499913461245, 884.3587129994473)\n",
|
|
"0\n",
|
|
"-200.0\n",
|
|
"((5, 0, -1, -1), (7, -1, -1, -1), (5, -1, 0, -1))\n",
|
|
"(-1000.0, -501.95500086538755, -31.17409353087487)\n",
|
|
"2\n",
|
|
"1000.0\n",
|
|
"((5, 0, -1, -1), (7, -1, -1, -1), (3, 0, -1, 0))\n",
|
|
"(-300.0, -33.12909439626242, 668.8259064691251)\n",
|
|
"1\n",
|
|
"-700.0\n",
|
|
"((5, 0, -1, -1), (4, -1, -1, 0), (3, 0, -1, 0))\n",
|
|
"(-1200.0, -933.1290943962624, 35.696812072862485)\n",
|
|
"2\n",
|
|
"900.0\n",
|
|
"((5, 0, -1, -1), (4, -1, -1, 0), (2, -1, -1, 1))\n",
|
|
"(-200.0, 31.174093530874984, 1035.6968120728625)\n",
|
|
"1\n",
|
|
"-1000.0\n",
|
|
"((5, 0, -1, -1), (8, 0, -1, -2), (2, -1, -1, 1))\n",
|
|
"(-1300.0, -801.9550008653874, -64.30318792713751)\n",
|
|
"2\n",
|
|
"1100.0\n",
|
|
"((5, 0, -1, -1), (7, -1, -1, -1), (2, -1, -1, 1))\n",
|
|
"(-1200.0, -498.0449991346121, 35.696812072862485)\n",
|
|
"2\n",
|
|
"-100.0\n",
|
|
"((5, 0, -1, -1), (4, 1, -1, -1), (2, -1, -1, 1))\n",
|
|
"(-300.0, -33.12909439626242, 935.6968120728625)\n",
|
|
"1\n",
|
|
"-900.0\n",
|
|
"((5, 0, -1, -1), (4, -1, -1, 0), (2, -1, -1, 1))\n",
|
|
"(-1000.0, -733.1290943962624, -31.17409353087487)\n",
|
|
"2\n",
|
|
"700.0\n",
|
|
"((5, 0, -1, -1), (4, -1, -1, 0), (3, 0, -1, 0))\n",
|
|
"(-1629.2190926654873, -633.1290943962624, 68.82590646912513)\n",
|
|
"2\n",
|
|
"-100.0\n",
|
|
"((0, 1, -1, 0), (4, -1, -1, 0), (3, 0, -1, 0))\n",
|
|
"(-31.17409353087487, 466.8709056037376, 1168.8259064691251)\n",
|
|
"0\n",
|
|
"-1100.0\n",
|
|
"((2, 0, -1, 0), (4, -1, -1, 0), (3, 0, -1, 0))\n",
|
|
"(-731.1740935308749, -29.219092665487324, 468.82590646912513)\n",
|
|
"1\n",
|
|
"700.0\n",
|
|
"((2, 0, -1, 0), (1, 1, -1, 0), (3, 0, -1, 0))\n",
|
|
"(68.82590646912513, 770.7809073345127, 1970.7809073345127)\n",
|
|
"0\n",
|
|
"-800.0\n",
|
|
"((2, 0, -1, 0), (1, 1, -1, 0), (2, 1, -1, 0))\n",
|
|
"(-1431.1740935308749, -729.2190926654873, 0.0)\n",
|
|
"2\n",
|
|
"1500.0\n",
|
|
"((2, 0, -1, 0), (1, 1, -1, 0), (6, 0, -1, -1))\n",
|
|
"(-831.1740935308749, -17.48780739570975, 600.0)\n",
|
|
"1\n",
|
|
"-600.0\n",
|
|
"((2, 0, -1, 0), (5, 0, -2, 0), (6, 0, -1, -1))\n",
|
|
"(-731.1740935308749, -29.219092665487267, 700.0)\n",
|
|
"1\n",
|
|
"-100.0\n",
|
|
"((2, 0, -1, 0), (1, 1, -1, 0), (6, 0, -1, -1))\n",
|
|
"(-1631.1740935308749, -929.2190926654873, 39.606813803637806)\n",
|
|
"2\n",
|
|
"900.0\n",
|
|
"((2, 0, -1, 0), (1, 1, -1, 0), (-1, 1, -1, 1))\n",
|
|
"(-1431.1740935308749, -729.2190926654873, 0.0)\n",
|
|
"2\n",
|
|
"-200.0\n",
|
|
"((2, 0, -1, 0), (1, 1, -1, 0), (6, 0, -1, -1))\n",
|
|
"(-531.1740935308749, -33.12909439626242, 900.0)\n",
|
|
"1\n",
|
|
"-900.0\n",
|
|
"((2, 0, -1, 0), (4, -1, -1, 0), (6, 0, -1, -1))\n",
|
|
"(-431.17409353087487, 31.17409353087494, 1000.0)\n",
|
|
"1\n",
|
|
"-100.0\n",
|
|
"((2, 0, -1, 0), (8, 0, -1, -2), (6, 0, -1, -1))\n",
|
|
"(-31.17409353087487, 431.1740935308749, 2129.2190926654876)\n",
|
|
"0\n",
|
|
"-400.0\n",
|
|
"((2, 0, -1, 0), (8, 0, -1, -2), (11, -1, -1, -2))\n",
|
|
"(-1531.1740935308749, -1068.8259064691251, 55.139620333959556)\n",
|
|
"2\n",
|
|
"1500.0\n",
|
|
"((2, 0, -1, 0), (8, 0, -1, -2), (1, 0, 0, 0))\n",
|
|
"(-1131.1740935308749, -668.8259064691251, 33.12909439626253)\n",
|
|
"2\n",
|
|
"-400.0\n",
|
|
"((2, 0, -1, 0), (8, 0, -1, -2), (7, 1, -1, -2))\n",
|
|
"(-731.1740935308749, -29.219092665487324, 433.12909439626253)\n",
|
|
"1\n",
|
|
"-400.0\n",
|
|
"((2, 0, -1, 0), (1, 1, -1, 0), (7, 1, -1, -2))\n",
|
|
"(-27.264091800100005, 470.7809073345127, 933.1290943962625)\n",
|
|
"0\n",
|
|
"-500.0\n",
|
|
"((-1, 2, -1, 0), (1, 1, -1, 0), (7, 1, -1, -2))\n",
|
|
"(-727.2640918001, 1.955000865387774, 233.12909439626253)\n",
|
|
"1\n",
|
|
"700.0\n",
|
|
"((-1, 2, -1, 0), (4, 1, -1, -1), (7, 1, -1, -2))\n",
|
|
"(-1427.2640918001, -698.0449991346122, 3.910001730774411)\n",
|
|
"2\n",
|
|
"700.0\n",
|
|
"((-1, 2, -1, 0), (4, 1, -1, -1), (3, 2, -1, -1))\n",
|
|
"(103.91000173077487, 601.9550008653878, 1303.9100017307744)\n",
|
|
"0\n",
|
|
"-1300.0\n",
|
|
"((2, 2, -1, -1), (4, 1, -1, -1), (3, 2, -1, -1))\n",
|
|
"(1.7053025658242404e-13, 701.9550008653878, 1403.9100017307744)\n",
|
|
"0\n",
|
|
"-100.0\n",
|
|
"((5, 0, -1, -1), (4, 1, -1, -1), (3, 2, -1, -1))\n",
|
|
"(-499.99999999999983, -1.9550008653875466, 903.9100017307744)\n",
|
|
"1\n",
|
|
"500.0\n",
|
|
"((5, 0, -1, -1), (7, -1, -1, -1), (3, 2, -1, -1))\n",
|
|
"(-1199.9999999999998, -701.9550008653875, -2.2737367544323206e-13)\n",
|
|
"2\n",
|
|
"700.0\n",
|
|
"((5, 0, -1, -1), (7, -1, -1, -1), (6, 0, -1, -1))\n",
|
|
"(-999.9999999999998, -501.95500086538755, -3.910001730775093)\n",
|
|
"2\n",
|
|
"-200.0\n",
|
|
"((5, 0, -1, -1), (7, -1, -1, -1), (9, -2, -1, -1))\n",
|
|
"(-599.9999999999998, 9.776284404390367, 396.0899982692249)\n",
|
|
"1\n",
|
|
"-400.0\n",
|
|
"((5, 0, -1, -1), (11, -2, -2, -1), (9, -2, -1, -1))\n",
|
|
"(-1299.9999999999998, -690.2237155956096, 11.731285269777572)\n",
|
|
"2\n",
|
|
"700.0\n",
|
|
"((5, 0, -1, -1), (11, -2, -2, -1), (10, -1, -2, -1))\n",
|
|
"(-1399.9999999999998, -790.2237155956096, 23.462570539555372)\n",
|
|
"2\n",
|
|
"100.0\n",
|
|
"((5, 0, -1, -1), (11, -2, -2, -1), (14, -2, -3, -1))\n",
|
|
"(-3.9100017307746384, 809.7762844043904, 1623.4625705395554)\n",
|
|
"0\n",
|
|
"-1600.0\n",
|
|
"((8, -2, -1, -1), (11, -2, -2, -1), (14, -2, -3, -1))\n",
|
|
"(-1503.9100017307746, -690.2237155956096, 11.731285269777572)\n",
|
|
"2\n",
|
|
"1500.0\n",
|
|
"((8, -2, -1, -1), (11, -2, -2, -1), (10, -1, -2, -1))\n",
|
|
"(25.41757140494292, 909.7762844043904, 1611.7312852697776)\n",
|
|
"0\n",
|
|
"-1600.0\n",
|
|
"((11, -1, -3, -1), (11, -2, -2, -1), (10, -1, -2, -1))\n",
|
|
"(-474.5824285950571, 23.462570539555486, 1111.7312852697776)\n",
|
|
"1\n",
|
|
"500.0\n",
|
|
"((11, -1, -3, -1), (13, -2, -3, -1), (10, -1, -2, -1))\n",
|
|
"(-1474.582428595057, -976.5374294604445, -7.711522991319725)\n",
|
|
"2\n",
|
|
"1000.0\n",
|
|
"((11, -1, -3, -1), (13, -2, -3, -1), (11, -2, -3, 0))\n",
|
|
"(-1574.582428595057, -1076.5374294604444, 11.731285269777572)\n",
|
|
"2\n",
|
|
"100.0\n",
|
|
"((11, -1, -3, -1), (13, -2, -3, -1), (10, -1, -2, -1))\n",
|
|
"(-1474.582428595057, -976.5374294604444, -7.711522991319725)\n",
|
|
"2\n",
|
|
"-100.0\n",
|
|
"((11, -1, -3, -1), (13, -2, -3, -1), (11, -2, -3, 0))\n",
|
|
"(-1274.582428595057, -776.5374294604444, 37.148856674720605)\n",
|
|
"2\n",
|
|
"-200.0\n",
|
|
"((11, -1, -3, -1), (13, -2, -3, -1), (16, -2, -4, -1))\n",
|
|
"(-1174.582428595057, -676.5374294604444, 25.417571404942578)\n",
|
|
"2\n",
|
|
"-100.0\n",
|
|
"((11, -1, -3, -1), (13, -2, -3, -1), (12, -1, -3, -1))\n",
|
|
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"(1.5605250720888932, 387.8742389369231, 1587.874238936923)\n",
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"(74.29643327198869, 572.3414324066006, 1189.8292398023104)\n",
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"(3.5155259374763546, 768.4314306758258, 1589.8292398023104)\n",
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|
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|
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"1\n",
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"-100.0\n",
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"((19, 0, -6, -2), (18, 1, -6, -2), (22, -1, -6, -2))\n",
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"(-29.613568458786233, 201.5605250720883, 1197.6505233413131)\n",
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|
|
"(-129.61356845878623, 101.5605250720883, 1456.7001454060483)\n",
|
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"0\n",
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|
|
"(-929.6135684587862, -698.4394749279118, 3.5155259374755587)\n",
|
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"2\n",
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|
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"(-1067.265381397036, -98.43947492791176, 603.5155259374756)\n",
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"-600.0\n",
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|
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"(-1767.265381397036, -798.4394749279118, 15.246811207253131)\n",
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"2\n",
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|
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"(-1267.265381397036, 17.20181207264079, 515.2468112072531)\n",
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"1\n",
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"-500.0\n",
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"(-1467.265381397036, -182.7981879273592, -36.09128786616145)\n",
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|
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"(-2167.265381397036, -882.7981879273592, 1.5605250720882395)\n",
|
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|
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"(-2267.265381397036, -982.7981879273592, -13.97228145823442)\n",
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|
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"(-1767.265381397036, -482.7981879273592, 15.246811207253131)\n",
|
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"-500.0\n",
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|
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"(-1398.4394749279113, 117.20181207264079, 615.2468112072531)\n",
|
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"1\n",
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"-600.0\n",
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|
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"(-169.11190179219352, 217.2018120726408, 715.2468112072531)\n",
|
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"0\n",
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"-100.0\n",
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|
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"(-569.1119017921935, -71.06690265758135, 315.24681120725313)\n",
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|
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"(17.201812072641303, 128.93309734241865, 515.2468112072531)\n",
|
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"0\n",
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"-200.0\n",
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|
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"(-82.7981879273587, 28.933097342418648, 1460.1071908732938)\n",
|
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"0\n",
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|
|
"(17.201812072641303, 128.93309734241865, 1715.2468112072534)\n",
|
|
"1\n",
|
|
"-100.0\n",
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|
|
"(1.5605250720887511, 428.93309734241865, 2015.2468112072534)\n",
|
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"-300.0\n",
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|
|
"(-698.4394749279113, 3.5155259374755587, 1315.2468112072534)\n",
|
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"1\n",
|
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|
|
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|
|
"(-898.4394749279113, -84.75318879274687, 1115.2468112072534)\n",
|
|
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|
|
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|
|
"(-482.79818792735875, 15.246811207253131, 1215.2468112072534)\n",
|
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"-100.0\n",
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|
|
"(-382.79818792735875, 115.24681120725313, 319.156812938028)\n",
|
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"-100.0\n",
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|
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"(-582.7981879273588, -84.75318879274687, 1115.2468112072534)\n",
|
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|
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|
|
"(-682.7981879273588, -184.75318879274687, 19.156812938027997)\n",
|
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|
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"(-782.7981879273588, -284.75318879274687, 30.888098207805797)\n",
|
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"2\n",
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|
|
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|
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"(-798.4394749279113, 15.246811207253131, 330.8880982078058)\n",
|
|
"1\n",
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"-300.0\n",
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|
|
"(-998.4394749279113, -184.75318879274687, -29.613568458786858)\n",
|
|
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|
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|
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|
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"(-498.4394749279113, -27.65856759339954, 470.38643154121314)\n",
|
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"-500.0\n",
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|
|
"(-1198.4394749279113, -727.6585675933995, -25.703566728011992)\n",
|
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|
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|
|
"(-298.4394749279113, 60.61014713682266, 874.296433271988)\n",
|
|
"1\n",
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"-900.0\n",
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|
|
"(-194.52947319713678, -39.38985286317734, 774.296433271988)\n",
|
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"0\n",
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|
|
"(-794.5294731971368, -639.3898528631773, 19.156812938027997)\n",
|
|
"2\n",
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"600.0\n",
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|
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|
|
"(5.470526802863219, 587.9827194071529, 819.156812938028)\n",
|
|
"0\n",
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"-800.0\n",
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|
|
"(-13.972281458233965, 687.9827194071529, 919.156812938028)\n",
|
|
"0\n",
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"-100.0\n",
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|
|
"(19.156812938028622, 987.9827194071529, 1219.156812938028)\n",
|
|
"0\n",
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"-300.0\n",
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|
|
"(-1913.972281458234, -12.0172805928471, 219.156812938028)\n",
|
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"2\n",
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|
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|
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|
|
"(-2013.972281458234, -112.0172805928471, -0.28599532306930087)\n",
|
|
"2\n",
|
|
"100.0\n",
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|
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|
|
"(-2213.9722814582337, -312.0172805928471, -45.14637498910929)\n",
|
|
"2\n",
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|
"200.0\n",
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|
"((15, 2, -7, -1), (15, 3, -7, -1), (14, 2, -7, 0))\n",
|
|
"(-2113.9722814582337, -212.0172805928471, 19.156812938027997)\n",
|
|
"2\n",
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"-100.0\n",
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|
|
"(-1613.9722814582337, 21.11181380341543, 519.156812938028)\n",
|
|
"1\n",
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"-500.0\n",
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|
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"(-1413.9722814582337, 17.20181207264062, 719.156812938028)\n",
|
|
"1\n",
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"-200.0\n",
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|
|
"(-2213.9722814582337, -782.7981879273593, 30.888098207805797)\n",
|
|
"2\n",
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|
|
"(-3437.9378082613184, -882.7981879273593, -69.1119017921942)\n",
|
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"2\n",
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|
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|
|
"(-1113.9722814582337, 317.2018120726407, 1130.8880982078058)\n",
|
|
"0\n",
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"-1200.0\n",
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|
|
"(-1913.9722814582337, -482.7981879273593, -12.017280592846987)\n",
|
|
"2\n",
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|
"800.0\n",
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|
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|
|
"(19.156812938028793, 517.2018120726407, 987.982719407153)\n",
|
|
"0\n",
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"-1000.0\n",
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|
|
"(-180.8431870619712, -25.703566728012163, 787.982719407153)\n",
|
|
"1\n",
|
|
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|
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|
|
"(-1680.843187061971, -1525.7035667280122, 17.201812072640678)\n",
|
|
"2\n",
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|
"1500.0\n",
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|
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|
|
"(-280.8431870619711, -13.972281458234647, 1417.2018120726407)\n",
|
|
"1\n",
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|
"-1400.0\n",
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|
|
"(-1480.843187061971, -1213.9722814582346, -49.66909353109668)\n",
|
|
"2\n",
|
|
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|
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|
|
"(-1815.927282323621, -1113.9722814582346, 50.33090646890332)\n",
|
|
"2\n",
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|
"-100.0\n",
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|
|
"(-415.92728232362106, 19.156812938027997, 1450.3309064689033)\n",
|
|
"1\n",
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|
"-1400.0\n",
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|
|
"(-1615.927282323621, -1180.843187061972, -29.613568458786858)\n",
|
|
"2\n",
|
|
"1200.0\n",
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|
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|
|
"(-1115.927282323621, -27.658567593399653, 470.38643154121314)\n",
|
|
"1\n",
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|
"-500.0\n",
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|
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|
|
"(-1215.927282323621, -15.92728232362208, 370.38643154121314)\n",
|
|
"1\n",
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|
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|
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|
|
"(-1815.927282323621, -615.9272823236221, 86.02771854176558)\n",
|
|
"2\n",
|
|
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|
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|
|
"(-1615.927282323621, -415.9272823236221, -29.613568458786858)\n",
|
|
"2\n",
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|
"-200.0\n",
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|
|
"(-715.9272823236211, -13.972281458234647, 870.3864315412131)\n",
|
|
"1\n",
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|
"-900.0\n",
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|
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|
|
"(-12.017280592846078, 486.02771854176535, 1370.3864315412131)\n",
|
|
"0\n",
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"-500.0\n",
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|
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|
|
"(-1212.017280592846, -713.9722814582346, -12.017280592846873)\n",
|
|
"2\n",
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|
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|
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|
|
"(87.98271940715404, 789.9377202725406, 1287.9827194071531)\n",
|
|
"0\n",
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|
"-1300.0\n",
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|
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|
|
"(-1112.017280592846, -410.06227972745944, -23.748565862624673)\n",
|
|
"2\n",
|
|
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|
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|
|
"(-1054.9226593934989, -10.06227972745944, 376.2514341373753)\n",
|
|
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|
"-400.0\n",
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|
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|
|
"(-1754.9226593934989, -710.0622797274594, -8.107278862072008)\n",
|
|
"2\n",
|
|
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|
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|
|
"(-12.017280592845964, 689.9377202725406, 1391.892721137928)\n",
|
|
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|
|
"-1400.0\n",
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|
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|
|
"(-412.01728059284596, 23.06681466880252, 991.892721137928)\n",
|
|
"1\n",
|
|
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|
|
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|
|
"(-8.107278862071155, 223.06681466880252, 1191.892721137928)\n",
|
|
"0\n",
|
|
"-200.0\n",
|
|
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|
|
"(-1308.107278862071, -494.420992726907, -108.10727886207201)\n",
|
|
"2\n",
|
|
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|
|
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|
|
"(-508.1072788620711, -10.062279727459554, 691.892721137928)\n",
|
|
"1\n",
|
|
"-800.0\n",
|
|
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|
|
"(-923.7485658626239, -110.06227972745955, 591.892721137928)\n",
|
|
"1\n",
|
|
"100.0\n",
|
|
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|
|
"(-1623.7485658626238, -810.0622797274596, 3.6240064077060197)\n",
|
|
"2\n",
|
|
"700.0\n",
|
|
"((10, 4, -6, -1), (13, 4, -7, -1), (16, 4, -8, -1))\n",
|
|
"(-1523.7485658626238, -710.0622797274596, -8.107278862072008)\n",
|
|
"2\n",
|
|
"-100.0\n",
|
|
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|
|
"(-1939.2813723929457, -10.062279727459554, 691.892721137928)\n",
|
|
"1\n",
|
|
"-700.0\n",
|
|
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|
|
"(-2739.2813723929457, -810.0622797274596, 3.6240064077060197)\n",
|
|
"2\n",
|
|
"800.0\n",
|
|
"((7, 5, -7, 0), (13, 4, -7, -1), (16, 4, -8, -1))\n",
|
|
"(-2139.2813723929457, 29.54453407617757, 603.624006407706)\n",
|
|
"1\n",
|
|
"-600.0\n",
|
|
"((7, 5, -7, 0), (6, 5, -7, 1), (16, 4, -8, -1))\n",
|
|
"(-2039.2813723929457, -25.5950862577821, 703.624006407706)\n",
|
|
"1\n",
|
|
"-100.0\n",
|
|
"((7, 5, -7, 0), (11, 5, -8, 0), (16, 4, -8, -1))\n",
|
|
"(-182.6897074571275, 674.4049137422179, 1403.624006407706)\n",
|
|
"0\n",
|
|
"-700.0\n",
|
|
"((17, 4, -9, -1), (11, 5, -8, 0), (16, 4, -8, -1))\n",
|
|
"(-23.640085392392848, 474.4049137422179, 1203.624006407706)\n",
|
|
"0\n",
|
|
"200.0\n",
|
|
"((9, 6, -8, 0), (11, 5, -8, 0), (16, 4, -8, -1))\n",
|
|
"(-11.908800122615261, 374.4049137422179, 1103.624006407706)\n",
|
|
"0\n",
|
|
"100.0\n",
|
|
"((13, 5, -9, 0), (11, 5, -8, 0), (16, 4, -8, -1))\n",
|
|
"(-311.9088001226153, -10.062279727459497, 803.624006407706)\n",
|
|
"1\n",
|
|
"300.0\n",
|
|
"((13, 5, -9, 0), (13, 4, -7, -1), (16, 4, -8, -1))\n",
|
|
"(-111.90880012261528, 34.79809993858041, 1003.624006407706)\n",
|
|
"1\n",
|
|
"-200.0\n",
|
|
"((13, 5, -9, 0), (18, 4, -8, -2), (16, 4, -8, -1))\n",
|
|
"(-51.51561392625234, 334.79809993858044, 1303.624006407706)\n",
|
|
"0\n",
|
|
"-300.0\n",
|
|
"((20, 4, -9, -2), (18, 4, -8, -2), (16, 4, -8, -1))\n",
|
|
"(-451.51561392625234, -65.20190006141956, 1562.1706722089111)\n",
|
|
"1\n",
|
|
"400.0\n",
|
|
"((20, 4, -9, -2), (18, 4, -8, -2), (24, 4, -10, -2))\n",
|
|
"(-135.8743269256998, -65.20190006141956, 1562.1706722089111)\n",
|
|
"0\n",
|
|
"0.0\n",
|
|
"((21, 5, -10, -2), (18, 4, -8, -2), (24, 4, -10, -2))\n",
|
|
"(-335.8743269256998, -265.20190006141956, 1321.1118138034158)\n",
|
|
"0\n",
|
|
"200.0\n",
|
|
"((21, 5, -10, -2), (18, 4, -8, -2), (17, 4, -7, -2))\n",
|
|
"(-235.8743269256998, -165.20190006141956, 466.0806739396861)\n",
|
|
"0\n",
|
|
"-100.0\n",
|
|
"((21, 5, -10, -2), (18, 4, -8, -2), (20, 6, -10, -2))\n",
|
|
"(-335.8743269256998, -20.233039925149086, 366.0806739396861)\n",
|
|
"1\n",
|
|
"100.0\n",
|
|
"((21, 5, -10, -2), (22, 6, -11, -2), (20, 6, -10, -2))\n",
|
|
"(-235.8743269256998, -31.964325194926886, 466.0806739396861)\n",
|
|
"1\n",
|
|
"-100.0\n",
|
|
"((21, 5, -10, -2), (18, 7, -10, -2), (20, 6, -10, -2))\n",
|
|
"(-335.8743269256998, -131.9643251949269, 477.81195920946357)\n",
|
|
"0\n",
|
|
"100.0\n",
|
|
"((21, 5, -10, -2), (18, 7, -10, -2), (24, 5, -11, -2))\n",
|
|
"(-124.1430416559221, -31.964325194926886, 577.8119592094636)\n",
|
|
"0\n",
|
|
"-100.0\n",
|
|
"((25, 4, -11, -2), (18, 7, -10, -2), (24, 5, -11, -2))\n",
|
|
"(36.86158127419992, 268.0356748050731, 877.8119592094636)\n",
|
|
"0\n",
|
|
"-300.0\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"path = stochastic_hamiltonian(graph)\n",
|
|
"#durs = tuple(round(y[0]-x[0], 2) for (x, y) in pairwise(target_melody_data)) + ((1,))\n",
|
|
"durs = tuple(d[0] for d in target_melody_data)\n",
|
|
"path_to_chords(path, root)\n",
|
|
"write_chord_sequence(list(zip(durs, path_to_chords(path, root))))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 185,
|
|
"id": "6a13bec1-1a48-4647-821e-f1779976d80f",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"0.63746202768425"
|
|
]
|
|
},
|
|
"execution_count": 185,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"hs_array_to_fr((14, -5, -3, 0, -1, 1))"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python (compact sets)",
|
|
"language": "python",
|
|
"name": "compact_sets"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.11.9"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|