Open frostburn opened 3 months ago
The user continues with the scale they got from story #5 and wishes to temper out more commas.
rank2([0 1 0>, 5, 1, [1 0 0 >, 1, 1898.446, 1201.397) // Previous prime mapping deleted.
The user remembers 81/80 and adds 3125/3072.
Scale Workshop sends the comma list as a POST request
{ "version": "0.0.0", "payload": { "weights": "tenney", "reduce": "off", "commas": [[-4, 4, -1], [-10, -1, 5]], } }
temper replies with
temper
{ "version": "0.0.0", "response": { "preimage": [[-3, -1, 2]], "numberOfPeriods": 19, "teTuning": [63.294], "tePrimeMapping": [1202.586, 1898.82, 2784.9356], "cteTuning": [63.158], "ctePrimeMapping": [1200.000, 1894.74, 2778.952], } }
The user selects TE tuning and SW3 uses the prime mapping provided above.
The raw (unexpanded) result is this SonicWeave scale:
rank2([0 1 0>, 5, 1, [1 0 0 >, 1, 1898.446, 1201.397) primeMapping(1202.586, 1898.82, 2784.9356)
That is, a slightly stretched 19edo diatonic major.
The user continues with the scale they got from story #5 and wishes to temper out more commas.
The user remembers 81/80 and adds 3125/3072.
Scale Workshop sends the comma list as a POST request
temper
replies withThe user selects TE tuning and SW3 uses the prime mapping provided above.
The raw (unexpanded) result is this SonicWeave scale:
That is, a slightly stretched 19edo diatonic major.