spiffyscore

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Check-in [6a17d4d36a]

Overview
Comment:Moved all logic into neat, orderly functions. Now prints only the csound score portion.
Timelines: family | ancestors | descendants | both | ply
Files: files | file ages | folders
SHA1: 6a17d4d36a36c58e86777d4457fe28e400b54baa
User & Date: spiffytech@gmail.com on 2010-11-12 20:12:48
Other Links: branch diff | manifest | tags
Context
2010-11-12
20:23
Now prints score file header (function table), so I can just >> to foo.sco check-in: 00f4ddc9f3 user: spiffytech@gmail.com tags: ply
20:12
Moved all logic into neat, orderly functions. Now prints only the csound score portion. check-in: 6a17d4d36a user: spiffytech@gmail.com tags: ply
20:00
Program now generates a single voice with a I IV V pattern and spits out (among other things) the csound-ified score check-in: 338933c1a8 user: spiffytech@gmail.com tags: ply
Changes
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Modified cfg.py from [73244ab69d] to [4cae783255]. 

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#!/usr/bin/env python

import os
import random
import sys
import time
random.seed(time.time())

grammars = {
    "u": ["I V I IV u", "e"],
    "e": [""],
}

# Generate the scale for the key we're in


comp_key = "C"








notes = ["A", "A#", "B", "C", "C#", "D", "D#", "E", "F", "F#", "G", "G#"]
scale = [comp_key]
pos = notes.index(comp_key)
progression = [2,2,1,2,2,2,1]
for p in progression:
    pos = (pos + p) % 12
    scale.append(notes[pos])

















scale_conversion = {
    "I": 1,
    "II": 2,
    "III": 3,
    "IV": 4,
    "V": 5,
    "VI": 6,
    "VII": 7,
    "VIII": 8,
}







csound_note_values = {
    "C": "00",
    "C#": "01",
    "D": "02",
    "D#": "03",
    "E": "04",
    "F": "05",
    "F#": "06",
    "G": "07",
    "F#": "08",
    "A": "09",
    "A#": "10",
    "B": "11",
}


score = "u u u"
print score
while 1:
    found_substitution = False
    for key,value in grammars.iteritems():
        if score.find(key) != -1:
            found_substitution = True
            while score.find(key) != -1:
                score = score.replace(key, random.choice(grammars[key]), 1)
                print score
        #        time.sleep(.25)
    if found_substitution is False:
        break

csound_score = []
for token in score.split():
    csound_score.append(scale[scale_conversion[token]-1])

print csound_score

t = 0 
for token in csound_score:
    note = csound_note_values[token]
    print "i2 %f 2 7000 %d.%s %d.%s 0 6" % (t, random.choice([8,9]), note, random.choice([8,9]), note)
    t += .25


















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#!/usr/bin/env python

import os
import random
import sys
import time
random.seed(time.time())

grammars = {
    "u": ["I V I IV u", "e"],
    "e": [""],
}


def main():
    score = "u u u"
    key = "C"
    score = generate_score(score)
    score = keyify_score(score, key)
    score = generate_csound_score(score)
    for line in score:
        print line


def make_scale(key):
    notes = ["A", "A#", "B", "C", "C#", "D", "D#", "E", "F", "F#", "G", "G#"]
    scale = [key]
    pos = notes.index(key)
    progression = [2,2,1,2,2,2,1]
    for p in progression:
        pos = (pos + p) % 12
        scale.append(notes[pos])
    return scale


def generate_score(score):
    while 1:
        found_substitution = False
        for key,value in grammars.iteritems():
            if score.find(key) != -1:
                found_substitution = True
                while score.find(key) != -1:
                    score = score.replace(key, random.choice(grammars[key]), 1)
        if found_substitution is False:
            break
    return score

def keyify_score(score, key):
    scale = make_scale(key)
    scale_conversion = {
        "I": 1,
        "II": 2,
        "III": 3,
        "IV": 4,
        "V": 5,
        "VI": 6,
        "VII": 7,
        "VIII": 8,
    }
    keyed_score = []
    for token in score.split():
        keyed_score.append(scale[scale_conversion[token]-1])
    return keyed_score


def generate_csound_score(score):
    csound_note_values = {
        "C": "00",
        "C#": "01",
        "D": "02",
        "D#": "03",
        "E": "04",
        "F": "05",
        "F#": "06",
        "G": "07",
        "F#": "08",
        "A": "09",
        "A#": "10",
        "B": "11",
    }
    t = 0 















    csound_score = []
    for token in score:






        note = csound_note_values[token]
        csound_score.append("i2 %f 2 7000 %d.%s %d.%s 0 6" % (t, random.choice([8,9]), note, random.choice([8,9]), note))
        t += .25
    return csound_score


if __name__ == "__main__": main()

Modified test.sco from [24ff5724a8] to [acb8a904c1]. 

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f1  0   256 10  1 0 3   ; sine wave function table

i2 0.000000 2 7000 9.00 8.00 0 6
i2 0.250000 2 7000 9.07 9.07 0 6
i2 0.500000 2 7000 8.00 9.00 0 6
i2 0.750000 2 7000 9.05 8.05 0 6
i2 1.000000 2 7000 9.00 8.00 0 6
i2 1.250000 2 7000 9.07 9.07 0 6
i2 1.500000 2 7000 9.00 9.00 0 6
i2 1.750000 2 7000 9.05 8.05 0 6































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f1  0   256 10  1 0 3   ; sine wave function table

i2 0.000000 2 7000 8.00 9.00 0 6
i2 0.250000 2 7000 8.07 8.07 0 6
i2 0.500000 2 7000 9.00 8.00 0 6
i2 0.750000 2 7000 8.05 9.05 0 6
i2 1.000000 2 7000 8.00 9.00 0 6
i2 1.250000 2 7000 9.07 9.07 0 6
i2 1.500000 2 7000 9.00 9.00 0 6
i2 1.750000 2 7000 8.05 9.05 0 6
i2 2.000000 2 7000 9.00 8.00 0 6
i2 2.250000 2 7000 8.07 9.07 0 6
i2 2.500000 2 7000 8.00 8.00 0 6
i2 2.750000 2 7000 9.05 9.05 0 6
i2 3.000000 2 7000 8.00 8.00 0 6
i2 3.250000 2 7000 8.07 9.07 0 6
i2 3.500000 2 7000 9.00 9.00 0 6
i2 3.750000 2 7000 8.05 9.05 0 6
i2 4.000000 2 7000 8.00 9.00 0 6
i2 4.250000 2 7000 9.07 9.07 0 6
i2 4.500000 2 7000 9.00 9.00 0 6
i2 4.750000 2 7000 8.05 8.05 0 6
i2 5.000000 2 7000 9.00 8.00 0 6
i2 5.250000 2 7000 8.07 8.07 0 6
i2 5.500000 2 7000 8.00 9.00 0 6
i2 5.750000 2 7000 9.05 9.05 0 6
i2 6.000000 2 7000 9.00 9.00 0 6
i2 6.250000 2 7000 9.07 9.07 0 6
i2 6.500000 2 7000 9.00 8.00 0 6
i2 6.750000 2 7000 8.05 8.05 0 6
i2 7.000000 2 7000 9.00 9.00 0 6
i2 7.250000 2 7000 8.07 9.07 0 6
i2 7.500000 2 7000 8.00 8.00 0 6
i2 7.750000 2 7000 9.05 8.05 0 6
i2 8.000000 2 7000 9.00 8.00 0 6
i2 8.250000 2 7000 8.07 8.07 0 6
i2 8.500000 2 7000 9.00 9.00 0 6
i2 8.750000 2 7000 8.05 9.05 0 6