PiCoGen / sheetsage /theory /theorytab.py
Vansh Chugh
vendor jukebox+sheetsage source and recovered weights, use_jukebox=True
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import copy
from collections import OrderedDict
import numpy as np
from .basic import HumanPitchName
from .internal import Chord, Key, Meter, Note, Tempo
_THEORYTAB_SCALE_NAME_TO_PITCH_INTERVALS = {
"major": (2, 2, 1, 2, 2, 2),
"dorian": (2, 1, 2, 2, 2, 1),
"phrygian": (1, 2, 2, 2, 1, 2),
"lydian": (2, 2, 2, 1, 2, 2),
"mixolydian": (2, 2, 1, 2, 2, 1),
"minor": (2, 1, 2, 2, 1, 2),
"locrian": (1, 2, 2, 1, 2, 2),
"harmonicMinor": (2, 1, 2, 2, 1, 3),
"phrygianDominant": (1, 3, 1, 2, 1, 2),
}
_THEORYTAB_ACCIDENTAL_STR_TO_NUM_SEMITONES = {"bb": -2, "b": -1, "": 0, "#": 1, "##": 2}
_THEORYTAB_ACCIDENTAL_STR_TO_NUM_SEMITONES_LEGACY_BUG = {
"bb": -1,
"b": -1,
"": 0,
"#": 1,
"##": 1,
}
# NOTE: Rules written down manually from Hookpad
_THEORYTAB_CHORD_TYPE_TO_ALLOWED_OPTIONS = {
5: {
"inversions": [0, 1, 2],
"suspensions": [2, 4],
"adds": [9, 4, 6],
"omits": [3, 5],
"alterations": ["b5", "#5"],
},
7: {
"inversions": [0, 1, 2, 3],
"suspensions": [2, 4],
"adds": [4, 6],
"omits": [3, 5],
"alterations": ["b5", "#5", "b9", "#9", "#11", "b13"],
},
9: {
"inversions": [0],
"suspensions": [4],
"adds": [6],
"omits": [3, 5],
"alterations": ["b5", "#5", "#11", "b13"],
},
11: {
"inversions": [0],
"suspensions": [2],
"adds": [],
"omits": [3, 5],
"alterations": ["b5", "#5", "b9", "#9", "b13"],
},
13: {
"inversions": [0],
"suspensions": [],
"adds": [],
"omits": [3, 5],
"alterations": ["b5", "#5", "b9", "#9", "#11"],
},
}
class _TheorytabDict(dict):
_FIELDS = []
def _check_values(self):
if "beat" in self:
min_beat = 0 if "isRest" in self and self["isRest"] else 1
if self["beat"] < min_beat:
raise TheorytabValueError("beat")
def __init__(self, *args, _skip_value_checks=False, **kwargs):
super().__init__(*args, **kwargs)
for f in self._FIELDS:
if f not in self:
raise TheorytabValueError(f"Missing field '{f}'")
for f in self.keys():
if f not in self._FIELDS:
raise TheorytabValueError(f"Unknown field '{f}'")
if not _skip_value_checks:
self._check_values()
class TheorytabValueError(ValueError):
pass
class TheorytabMeter(_TheorytabDict):
_FIELDS = ["beat", "numBeats", "beatUnit"]
def _check_values(self):
super()._check_values()
if self["numBeats"] not in [2, 3, 4, 5, 6, 9, 12]:
raise TheorytabValueError("numBeats")
if self["beatUnit"] not in [1, 3]:
raise TheorytabValueError("beatUnit")
if self["beatUnit"] == 3 and self["numBeats"] not in [3, 6, 9, 12]:
raise TheorytabValueError("numBeats,beatUnit")
def as_meter(self):
assert self["numBeats"] % self["beatUnit"] == 0
return Meter(
self["numBeats"] // self["beatUnit"],
3 if self["beatUnit"] == 3 else 2,
4 if self["beatUnit"] == 3 else 2,
)
class TheorytabTempo(_TheorytabDict):
_FIELDS = ["beat", "bpm", "swingFactor", "swingBeat"]
def _check_values(self):
super()._check_values()
if self["bpm"] is None or self["bpm"] < 30 or self["bpm"] > 300:
raise TheorytabValueError("bpm")
if isinstance(self["swingFactor"], int):
if self["swingFactor"] != 0:
raise TheorytabValueError("swingFactor")
else:
if self["swingFactor"] < 0.5 or self["swingFactor"] > 0.75:
raise TheorytabValueError("swingFactor")
if self["swingBeat"] not in [0.5, 0.25]:
raise TheorytabValueError("swingBeat")
def as_tempo(self):
return Tempo(round(self["bpm"]))
class TheorytabKey(_TheorytabDict):
_FIELDS = ["beat", "scale", "tonic"]
def _check_values(self):
super()._check_values()
if self["scale"] not in _THEORYTAB_SCALE_NAME_TO_PITCH_INTERVALS:
raise TheorytabValueError("scale")
try:
HumanPitchName(self["tonic"])
except ValueError:
raise TheorytabValueError("tonic")
def as_key(self):
return Key(
HumanPitchName(self["tonic"]).as_pitch_class(),
_THEORYTAB_SCALE_NAME_TO_PITCH_INTERVALS[self["scale"]],
)
class _TheorytabNoteOrChord(_TheorytabDict):
def _check_values(self, eps=1e-8):
super()._check_values()
assert "isRest" in self
assert "duration" in self
min_duration = None if self["isRest"] else eps
if min_duration is not None and self["duration"] < min_duration:
raise TheorytabValueError("duration")
def will_sound(self, min_duration=1e-8):
return (
self["beat"] >= 1 and self["duration"] > min_duration and not self["isRest"]
)
class TheorytabNote(_TheorytabNoteOrChord):
_FIELDS = ["sd", "octave", "beat", "duration", "isRest", "recordingEndBeat"]
def _check_values(self):
super()._check_values()
sd = self["sd"]
if len(sd) not in [1, 2, 3]:
raise TheorytabValueError("sd")
accidental_str = sd[:-1]
if accidental_str not in _THEORYTAB_ACCIDENTAL_STR_TO_NUM_SEMITONES:
raise TheorytabValueError("sd")
sd = int(sd[-1]) - 1
if sd < 0 or sd >= 7:
raise TheorytabValueError("sd")
if abs(self["octave"]) > 4:
raise TheorytabValueError("octave")
def as_note(self, key, legacy_behavior=False):
if isinstance(key, dict) and not isinstance(key, TheorytabKey):
key = TheorytabKey(key)
if isinstance(key, TheorytabKey):
key = key.as_key()
if not isinstance(key, Key):
raise TypeError()
result = None
if self.will_sound(**({"min_duration": 0} if legacy_behavior else {})):
key_tonic_pc, key_scale_intervals = key
sd = self["sd"]
accidental_str = sd[:-1]
if legacy_behavior:
accidental = _THEORYTAB_ACCIDENTAL_STR_TO_NUM_SEMITONES_LEGACY_BUG[
accidental_str
]
else:
accidental = _THEORYTAB_ACCIDENTAL_STR_TO_NUM_SEMITONES[accidental_str]
sd = int(sd[-1]) - 1
pitch = 12 * self["octave"]
pitch += key_tonic_pc
pitch += sum(key_scale_intervals[:sd])
pitch += accidental
result = Note(pitch % 12, pitch // 12)
return result
class TheorytabChord(_TheorytabNoteOrChord):
_FIELDS = [
"root",
"beat",
"duration",
"type",
"inversion",
"applied",
"adds",
"omits",
"alterations",
"suspensions",
"pedal",
"alternate",
"borrowed",
"isRest",
"recordingEndBeat",
]
def _check_values(self):
super()._check_values()
# Check 'root'
if self["root"] <= 0:
if self.will_sound():
raise TheorytabValueError("root")
else:
if self["root"] not in [1, 2, 3, 4, 5, 6, 7]:
raise TheorytabValueError("root")
# Check 'type'
if self["type"] not in [5, 7, 9, 11, 13]:
raise TheorytabValueError("type")
# Check 'inversion'
if self["inversion"] not in [0, 1, 2, 3]:
raise TheorytabValueError("inversion")
# Check 'applied'
if self["applied"] not in [0, 1, 2, 3, 4, 5, 6, 7]:
raise TheorytabValueError("applied")
# Check 'adds'
if any(a not in [9, 4, 6] for a in self["adds"]):
raise TheorytabValueError("adds")
if len(self["adds"]) != len(set(self["adds"])):
raise TheorytabValueError("adds")
# Check 'omits'
if any(o not in [3, 5] for o in self["omits"]):
raise TheorytabValueError("omits")
if len(self["omits"]) != len(set(self["omits"])):
raise TheorytabValueError("omits")
# Check 'alterations'
if any(
a not in ["b5", "#5", "b9", "#9", "#11", "b13"] for a in self["alterations"]
):
raise TheorytabValueError("alterations")
if len(self["alterations"]) != len(set(self["alterations"])):
raise TheorytabValueError("alterations")
# Check 'suspensions'
if any(s not in [2, 4] for s in self["suspensions"]):
raise TheorytabValueError("suspensions")
if len(self["suspensions"]) != len(set(self["suspensions"])):
raise TheorytabValueError("suspensions")
# Check 'pedal'
if self["pedal"] is not None:
raise TheorytabValueError("pedal")
# Check 'alternate'
if self["alternate"] != "":
raise TheorytabValueError("alternate")
# Check 'borrowed'
if not (
self["borrowed"] == ""
or self["borrowed"] is None
or (isinstance(self["borrowed"], list) and len(self["borrowed"]) == 7)
or self["borrowed"] in _THEORYTAB_SCALE_NAME_TO_PITCH_INTERVALS
):
raise TheorytabValueError("borrowed")
# Check 'type' against others
for name, allowed_options in _THEORYTAB_CHORD_TYPE_TO_ALLOWED_OPTIONS[
self["type"]
].items():
if name == "inversions":
if self["inversion"] not in allowed_options:
raise TheorytabValueError("type,inversion")
else:
if any(o not in allowed_options for o in self[name]):
raise TheorytabValueError(f"type,{name}")
# Check 'inversion,omits'
if self["inversion"] == 1 and 3 in self["omits"]:
raise TheorytabValueError("inversion,omits")
if self["inversion"] == 2 and 5 in self["omits"]:
raise TheorytabValueError("inversion,omits")
# Check 'adds,alterations'
for alt in self["alterations"]:
if int(alt[-1]) in self["adds"]:
raise TheorytabValueError("adds,alterations")
# Check 'adds,suspensions'
if 2 in self["suspensions"] and 9 in self["adds"]:
raise TheorytabValueError("adds,suspensions")
if 4 in self["suspensions"] and 4 in self["adds"]:
raise TheorytabValueError("adds,suspensions")
# Check 'omits,alterations'
if 5 in self["omits"] and (
"b5" in self["alterations"] or "#5" in self["alterations"]
):
raise TheorytabValueError("omits,alterations")
# Check 'omits,suspensions'
if 3 in self["omits"] and len(self["suspensions"]) > 0:
raise TheorytabValueError("omits,suspensions")
def as_chord(self, key, root_position=False):
if isinstance(key, dict) and not isinstance(key, TheorytabKey):
key = TheorytabKey(key)
if isinstance(key, TheorytabKey):
key = key.as_key()
if not isinstance(key, Key):
raise TypeError()
result = None
if self.will_sound():
chord = copy.deepcopy(self)
# Unsupported
# TODO:
if not root_position and chord["inversion"] != 0:
raise NotImplementedError("inversion")
# Build chord scale degrees
chord_degrees = set(range(1, chord["type"] + 1, 2))
# Apply suspensions
for i, d in enumerate(chord["suspensions"]):
if i == 0:
assert 3 in chord_degrees
chord_degrees.remove(3)
assert d not in chord_degrees
chord_degrees.add(d)
# Apply adds
for d in chord["adds"]:
if d in [4, 6]:
d += 7
chord_degrees.add(d)
# Apply omits
for d in chord["omits"]:
assert d in [3, 5]
assert d in chord_degrees
chord_degrees.remove(d)
# Apply alterations
for d in chord["alterations"]:
d = int(d[1:])
chord_degrees.add(d)
# Convert to list
chord_degrees = sorted(list(chord_degrees))
# Find scale intervals
key_tonic_pc, key_scale_intervals = key
# Apply borrow (changes intervals)
if isinstance(chord["borrowed"], list):
key_scale_intervals = chord["borrowed"]
else:
if chord["borrowed"] in _THEORYTAB_SCALE_NAME_TO_PITCH_INTERVALS:
key_scale_intervals = _THEORYTAB_SCALE_NAME_TO_PITCH_INTERVALS[
chord["borrowed"]
]
key_scale_intervals = [0] + np.cumsum(key_scale_intervals).tolist()
assert len(key_scale_intervals) == 7
# Apply secondary (changes tonic and intervals)
major_scale_intervals = _THEORYTAB_SCALE_NAME_TO_PITCH_INTERVALS["major"]
major_scale_intervals = [0] + np.cumsum(major_scale_intervals).tolist()
if chord["applied"] > 0:
key_tonic_pc = (
key_tonic_pc + key_scale_intervals[chord["root"] - 1]
) % 12
chord["root"] = chord["applied"]
key_scale_intervals = major_scale_intervals
# Convert scale degrees to pitch offsets
chord_degree_to_interval = OrderedDict()
for d in chord_degrees:
d_abs = (chord["root"] - 1) + (d - 1)
interval = key_scale_intervals[d_abs % 7]
interval += 12 * (d_abs // 7)
chord_degree_to_interval[d] = interval
# NOTE: Not sure if this is a bug in Hookpad or what?
if d == 7 and chord["applied"] == 7:
chord_degree_to_interval[d] -= 1
# Apply alterations
for alt in chord["alterations"]:
d = int(alt[1:])
assert d in chord_degree_to_interval
chord_degree_to_interval[d] += -1 if alt[0] == "b" else 1
# Create final chord
result = [key_tonic_pc + v for _, v in chord_degree_to_interval.items()]
result = Chord(result[0] % 12, tuple(np.diff(result).tolist()))
return result