1
0
mirror of synced 2024-12-12 15:01:09 +01:00

[memon] fix several bugs in metadata handling

This commit is contained in:
Stepland 2021-05-04 12:00:11 +02:00
parent 857dd899a7
commit e564229f4f
6 changed files with 491 additions and 461 deletions

View File

@ -11,6 +11,9 @@
- [#memo2]
- Fix parsing of BPM changes
- Fix dumping of BPM changes
- [memon]
- Fix handling of paths-type values in metadata
- Fix handling of charts with decimal level value
# v0.1.3
## Changed

View File

@ -1,12 +1,17 @@
"""
This module contains code for the different formats read by jubeat analyser
This module contains code for the different formats read by "jubeat analyser".
"memo" is a vague term that refers to several legacy formats.
They were originally derived from the (somewhat) human-readable format choosen
by websites gathering official jubeat charts in text form as a memory aid.
"jubeat analyser" is a Windows program that can play back chart files and
export them to video files, it can also be used as a jubeat simulator.
The machine-readable variants are partially documented (in japanese)
on these pages :
"memo" is a vague term that refers to several slightly different formats.
My understanding is that they were all originally derived from the (somewhat)
human-readable format choosen by websites like jubeat memo or cosmos memo.
These websites would provide text transcripts of official jubeat charts as
training material for hardcore players.
The machine-readable variants or these text formats are partially documented
(in japanese) on these pages :
- http://yosh52.web.fc2.com/jubeat/fumenformat.html
- http://yosh52.web.fc2.com/jubeat/holdmarker.html
"""

View File

@ -8,456 +8,11 @@ parse than existing "memo-like" formats (memo, youbeat, etc ...).
https://github.com/Stepland/memon
"""
from io import StringIO
from itertools import chain
from pathlib import Path
from typing import IO, Any, Dict, Iterable, List, Mapping, Tuple, Union
import simplejson as json
from marshmallow import (
RAISE,
Schema,
ValidationError,
fields,
post_load,
validate,
validates_schema,
from .memon import (
dump_memon_0_1_0,
dump_memon_0_2_0,
dump_memon_legacy,
load_memon_0_1_0,
load_memon_0_2_0,
load_memon_legacy,
)
from jubeatools.song import *
from jubeatools.utils import lcm
# v0.x.x long note value :
#
# 8
# 4
# 0
# 11 7 3 . 1 5 9
# 2
# 6
# 10
X_Y_OFFSET_TO_P_VALUE = {
(0, -1): 0,
(0, -2): 4,
(0, -3): 8,
(0, 1): 2,
(0, 2): 6,
(0, 3): 10,
(1, 0): 1,
(2, 0): 5,
(3, 0): 9,
(-1, 0): 3,
(-2, 0): 7,
(-3, 0): 11,
}
P_VALUE_TO_X_Y_OFFSET = {v: k for k, v in X_Y_OFFSET_TO_P_VALUE.items()}
class StrictSchema(Schema):
class Meta:
unknown = RAISE
class MemonNote(StrictSchema):
n = fields.Integer(required=True, validate=validate.Range(min=0, max=15))
t = fields.Integer(required=True, validate=validate.Range(min=0))
l = fields.Integer(required=True, validate=validate.Range(min=0))
p = fields.Integer(required=True, validate=validate.Range(min=0, max=11))
@validates_schema
def validate_tail_tip_position(self, data: Dict[str, int], **kwargs: Any) -> None:
if data["l"] > 0:
x = data["n"] % 4
y = data["n"] // 4
dx, dy = P_VALUE_TO_X_Y_OFFSET[data["p"]]
if not (0 <= x + dx < 4 and 0 <= y + dy < 4):
raise ValidationError("Invalid tail position : {data}")
class MemonChart_0_1_0(StrictSchema):
level = fields.Integer(required=True)
resolution = fields.Integer(required=True, validate=validate.Range(min=1))
notes = fields.Nested(MemonNote, many=True)
class MemonChart_legacy(MemonChart_0_1_0):
dif_name = fields.String(required=True)
class MemonMetadata_legacy(StrictSchema):
title = fields.String(required=True, data_key="song title")
artist = fields.String(required=True)
audio = fields.String(required=True, data_key="music path")
cover = fields.String(required=True, data_key="jacket path")
BPM = fields.Decimal(
required=True, validate=validate.Range(min=0, min_inclusive=False)
)
offset = fields.Decimal(required=True)
class MemonMetadata_0_1_0(MemonMetadata_legacy):
cover = fields.String(required=True, data_key="album cover path")
class MemonPreview(StrictSchema):
position = fields.Decimal(required=True, validate=validate.Range(min=0))
length = fields.Decimal(
required=True, validate=validate.Range(min=0, min_inclusive=False)
)
class MemonMetadata_0_2_0(MemonMetadata_0_1_0):
preview = fields.Nested(MemonPreview)
class Memon_legacy(StrictSchema):
metadata = fields.Nested(MemonMetadata_legacy, required=True)
data = fields.Nested(MemonChart_legacy, required=True, many=True)
class Memon_0_1_0(StrictSchema):
version = fields.String(required=True, validate=validate.OneOf(["0.1.0"]))
metadata = fields.Nested(MemonMetadata_0_1_0, required=True)
data = fields.Dict(
keys=fields.String(), values=fields.Nested(MemonChart_0_1_0), required=True
)
class Memon_0_2_0(StrictSchema):
version = fields.String(required=True, validate=validate.OneOf(["0.2.0"]))
metadata = fields.Nested(MemonMetadata_0_2_0, required=True)
data = fields.Dict(
keys=fields.String(), values=fields.Nested(MemonChart_0_1_0), required=True
)
def _load_raw_memon(file: Path) -> Dict[str, Any]:
with open(file) as f:
res = json.load(f, use_decimal=True)
if not isinstance(res, dict):
raise ValueError(
"JSON file does not represent a valid memon file : "
"The top level of a memon file should be a JSON Object"
)
return res
def _load_memon_note_v0(note: dict, resolution: int) -> Union[TapNote, LongNote]:
position = NotePosition.from_index(note["n"])
time = beats_time_from_ticks(ticks=note["t"], resolution=resolution)
if note["l"] > 0:
duration = beats_time_from_ticks(ticks=note["l"], resolution=resolution)
tail_tip = position + NotePosition(*P_VALUE_TO_X_Y_OFFSET[note["p"]])
return LongNote(time, position, duration, tail_tip)
else:
return TapNote(time, position)
def load_memon_legacy(file: Path) -> Song:
raw_memon = _load_raw_memon(file)
schema = Memon_legacy()
memon = schema.load(raw_memon)
metadata = Metadata(
**{key: memon["metadata"][key] for key in ["title", "artist", "audio", "cover"]}
)
global_timing = Timing(
events=[BPMEvent(time=BeatsTime(0), BPM=memon["metadata"]["BPM"])],
beat_zero_offset=SecondsTime(-memon["metadata"]["offset"]),
)
charts: MultiDict[Chart] = MultiDict()
for memon_chart in memon["data"]:
charts.add(
memon_chart["dif_name"],
Chart(
level=memon_chart["level"],
notes=[
_load_memon_note_v0(note, memon_chart["resolution"])
for note in memon_chart["notes"]
],
),
)
return Song(metadata=metadata, charts=charts, global_timing=global_timing)
def load_memon_0_1_0(file: Path) -> Song:
raw_memon = _load_raw_memon(file)
schema = Memon_0_1_0()
memon = schema.load(raw_memon)
metadata = Metadata(
**{key: memon["metadata"][key] for key in ["title", "artist", "audio", "cover"]}
)
global_timing = Timing(
events=[BPMEvent(time=BeatsTime(0), BPM=memon["metadata"]["BPM"])],
beat_zero_offset=SecondsTime(-memon["metadata"]["offset"]),
)
charts: MultiDict[Chart] = MultiDict()
for difficulty, memon_chart in memon["data"].items():
charts.add(
difficulty,
Chart(
level=memon_chart["level"],
notes=[
_load_memon_note_v0(note, memon_chart["resolution"])
for note in memon_chart["notes"]
],
),
)
return Song(metadata=metadata, charts=charts, global_timing=global_timing)
def load_memon_0_2_0(file: Path) -> Song:
raw_memon = _load_raw_memon(file)
schema = Memon_0_2_0()
memon = schema.load(raw_memon)
metadata_dict = {
key: memon["metadata"][key] for key in ["title", "artist", "audio", "cover"]
}
preview = None
if "preview" in memon["metadata"]:
start = memon["metadata"]["preview"]["position"]
length = memon["metadata"]["preview"]["length"]
metadata_dict["preview"] = Preview(start, length)
metadata = Metadata(**metadata_dict)
global_timing = Timing(
events=[BPMEvent(time=BeatsTime(0), BPM=memon["metadata"]["BPM"])],
beat_zero_offset=SecondsTime(-memon["metadata"]["offset"]),
)
charts: MultiDict[Chart] = MultiDict()
for difficulty, memon_chart in memon["data"].items():
charts.add(
difficulty,
Chart(
level=memon_chart["level"],
notes=[
_load_memon_note_v0(note, memon_chart["resolution"])
for note in memon_chart["notes"]
],
),
)
return Song(metadata=metadata, charts=charts, global_timing=global_timing)
def _long_note_tail_value_v0(note: LongNote) -> int:
dx = note.tail_tip.x - note.position.x
dy = note.tail_tip.y - note.position.y
try:
return X_Y_OFFSET_TO_P_VALUE[dx, dy]
except KeyError:
raise ValueError(
f"memon cannot represent a long note with its tail starting ({dx}, {dy}) away from the note"
) from None
def _get_timing(song: Song) -> Timing:
if song.global_timing is not None:
return song.global_timing
else:
return next(
chart.timing for chart in song.charts.values() if chart.timing is not None
)
def _raise_if_unfit_for_v0(song: Song, version: str) -> None:
"""Raises an exception if the Song object is ill-formed or contains information
that cannot be represented in a memon v0.x.y file (includes legacy)"""
if song.global_timing is None and all(
chart.timing is None for chart in song.charts.values()
):
raise ValueError("The song has no timing information")
chart_timings = [
chart.timing for chart in song.charts.values() if chart.timing is not None
]
if chart_timings:
first_one = chart_timings[0]
if any(t != first_one for t in chart_timings):
raise ValueError(
f"memon:{version} cannot represent a song with per-chart timing"
)
timing = _get_timing(song)
number_of_timing_events = len(timing.events)
if number_of_timing_events != 1:
if number_of_timing_events == 0:
raise ValueError("The song has no BPM")
else:
raise ValueError(f"memon:{version} does not handle BPM changes")
event = timing.events[0]
if event.BPM <= 0:
raise ValueError(f"memon:{version} only accepts strictly positive BPMs")
if event.time != 0:
raise ValueError(f"memon:{version} only accepts a BPM on the first beat")
for difficulty, chart in song.charts.items():
if len(set(chart.notes)) != len(chart.notes):
raise ValueError(
f"{difficulty} chart has duplicate notes, these cannot be represented"
)
def _dump_to_json(memon: dict) -> bytes:
memon_fp = StringIO()
json.dump(memon, memon_fp, use_decimal=True, indent=4)
return memon_fp.getvalue().encode("utf-8")
def _compute_resolution(notes: List[Union[TapNote, LongNote]]) -> int:
return lcm(
*chain(
iter(note.time.denominator for note in notes),
iter(
note.duration.denominator
for note in notes
if isinstance(note, LongNote)
),
)
)
def _dump_memon_note_v0(
note: Union[TapNote, LongNote], resolution: int
) -> Dict[str, int]:
"""converts a note into the {n, t, l, p} form"""
memon_note = {
"n": note.position.index,
"t": note.time.numerator * (resolution // note.time.denominator),
"l": 0,
"p": 0,
}
if isinstance(note, LongNote):
memon_note["l"] = note.duration.numerator * (
resolution // note.duration.denominator
)
memon_note["p"] = _long_note_tail_value_v0(note)
return memon_note
def dump_memon_legacy(song: Song, path: Path, **kwargs: dict) -> Dict[Path, bytes]:
_raise_if_unfit_for_v0(song, "legacy")
timing = _get_timing(song)
memon: Dict[str, Any] = {
"metadata": {
"song title": song.metadata.title,
"artist": song.metadata.artist,
"music path": str(song.metadata.audio),
"jacket path": str(song.metadata.cover),
"BPM": timing.events[0].BPM,
"offset": -timing.beat_zero_offset,
},
"data": [],
}
for difficulty, chart in song.charts.items():
resolution = _compute_resolution(chart.notes)
memon["data"].append(
{
"dif_name": difficulty,
"level": chart.level,
"resolution": resolution,
"notes": [
_dump_memon_note_v0(note, resolution)
for note in sorted(
set(chart.notes), key=lambda n: (n.time, n.position)
)
],
}
)
if path.is_dir():
filepath = path / f"{song.metadata.title}.memon"
else:
filepath = path
return {filepath: _dump_to_json(memon)}
def dump_memon_0_1_0(song: Song, path: Path, **kwargs: dict) -> Dict[Path, bytes]:
_raise_if_unfit_for_v0(song, "v0.1.0")
timing = _get_timing(song)
memon: Dict[str, Any] = {
"version": "0.1.0",
"metadata": {
"song title": song.metadata.title,
"artist": song.metadata.artist,
"music path": str(song.metadata.audio),
"album cover path": str(song.metadata.cover),
"BPM": timing.events[0].BPM,
"offset": -timing.beat_zero_offset,
},
"data": dict(),
}
for difficulty, chart in song.charts.items():
resolution = _compute_resolution(chart.notes)
memon["data"][difficulty] = {
"level": chart.level,
"resolution": resolution,
"notes": [
_dump_memon_note_v0(note, resolution)
for note in sorted(set(chart.notes), key=lambda n: (n.time, n.position))
],
}
if path.is_dir():
filepath = path / f"{song.metadata.title}.memon"
else:
filepath = path
return {filepath: _dump_to_json(memon)}
def dump_memon_0_2_0(song: Song, path: Path, **kwargs: dict) -> Dict[Path, bytes]:
_raise_if_unfit_for_v0(song, "v0.2.0")
timing = _get_timing(song)
memon: Dict[str, Any] = {
"version": "0.2.0",
"metadata": {
"song title": song.metadata.title,
"artist": song.metadata.artist,
"music path": str(song.metadata.audio),
"album cover path": str(song.metadata.cover),
"BPM": timing.events[0].BPM,
"offset": -timing.beat_zero_offset,
},
"data": {},
}
if song.metadata.preview is not None:
memon["metadata"]["preview"] = {
"position": song.metadata.preview.start,
"length": song.metadata.preview.length,
}
for difficulty, chart in song.charts.items():
resolution = _compute_resolution(chart.notes)
memon["data"][difficulty] = {
"level": chart.level,
"resolution": resolution,
"notes": [
_dump_memon_note_v0(note, resolution)
for note in sorted(set(chart.notes), key=lambda n: (n.time, n.position))
],
}
if path.is_dir():
filepath = path / f"{song.metadata.title}.memon"
else:
filepath = path
return {filepath: _dump_to_json(memon)}

View File

@ -0,0 +1,462 @@
from io import StringIO
from itertools import chain
from pathlib import Path
from typing import IO, Any, Dict, Iterable, List, Mapping, Tuple, Union
import simplejson as json
from marshmallow import (
RAISE,
Schema,
ValidationError,
fields,
post_load,
validate,
validates_schema,
)
from jubeatools.song import *
from jubeatools.utils import lcm
# v0.x.x long note value :
#
# 8
# 4
# 0
# 11 7 3 . 1 5 9
# 2
# 6
# 10
X_Y_OFFSET_TO_P_VALUE = {
(0, -1): 0,
(0, -2): 4,
(0, -3): 8,
(0, 1): 2,
(0, 2): 6,
(0, 3): 10,
(1, 0): 1,
(2, 0): 5,
(3, 0): 9,
(-1, 0): 3,
(-2, 0): 7,
(-3, 0): 11,
}
P_VALUE_TO_X_Y_OFFSET = {v: k for k, v in X_Y_OFFSET_TO_P_VALUE.items()}
class StrictSchema(Schema):
class Meta:
unknown = RAISE
class MemonNote(StrictSchema):
n = fields.Integer(required=True, validate=validate.Range(min=0, max=15))
t = fields.Integer(required=True, validate=validate.Range(min=0))
l = fields.Integer(required=True, validate=validate.Range(min=0))
p = fields.Integer(required=True, validate=validate.Range(min=0, max=11))
@validates_schema
def validate_tail_tip_position(self, data: Dict[str, int], **kwargs: Any) -> None:
if data["l"] > 0:
x = data["n"] % 4
y = data["n"] // 4
dx, dy = P_VALUE_TO_X_Y_OFFSET[data["p"]]
if not (0 <= x + dx < 4 and 0 <= y + dy < 4):
raise ValidationError("Invalid tail position : {data}")
class MemonChart_0_1_0(StrictSchema):
level = fields.Decimal(required=True)
resolution = fields.Integer(required=True, validate=validate.Range(min=1))
notes = fields.Nested(MemonNote, many=True)
class MemonChart_legacy(MemonChart_0_1_0):
dif_name = fields.String(required=True)
class MemonMetadata_legacy(StrictSchema):
title = fields.String(required=True, data_key="song title")
artist = fields.String(required=True)
audio = fields.String(required=True, data_key="music path")
cover = fields.String(required=True, data_key="jacket path")
BPM = fields.Decimal(
required=True, validate=validate.Range(min=0, min_inclusive=False)
)
offset = fields.Decimal(required=True)
class MemonMetadata_0_1_0(MemonMetadata_legacy):
cover = fields.String(required=True, data_key="album cover path")
class MemonPreview(StrictSchema):
position = fields.Decimal(required=True, validate=validate.Range(min=0))
length = fields.Decimal(
required=True, validate=validate.Range(min=0, min_inclusive=False)
)
class MemonMetadata_0_2_0(MemonMetadata_0_1_0):
preview = fields.Nested(MemonPreview)
class Memon_legacy(StrictSchema):
metadata = fields.Nested(MemonMetadata_legacy, required=True)
data = fields.Nested(MemonChart_legacy, required=True, many=True)
class Memon_0_1_0(StrictSchema):
version = fields.String(required=True, validate=validate.OneOf(["0.1.0"]))
metadata = fields.Nested(MemonMetadata_0_1_0, required=True)
data = fields.Dict(
keys=fields.String(), values=fields.Nested(MemonChart_0_1_0), required=True
)
class Memon_0_2_0(StrictSchema):
version = fields.String(required=True, validate=validate.OneOf(["0.2.0"]))
metadata = fields.Nested(MemonMetadata_0_2_0, required=True)
data = fields.Dict(
keys=fields.String(), values=fields.Nested(MemonChart_0_1_0), required=True
)
def _load_raw_memon(file: Path) -> Dict[str, Any]:
with open(file) as f:
res = json.load(f, use_decimal=True)
if not isinstance(res, dict):
raise ValueError(
"JSON file does not represent a valid memon file : "
"The top level of a memon file should be a JSON Object"
)
return res
def _load_memon_note_v0(note: dict, resolution: int) -> Union[TapNote, LongNote]:
position = NotePosition.from_index(note["n"])
time = beats_time_from_ticks(ticks=note["t"], resolution=resolution)
if note["l"] > 0:
duration = beats_time_from_ticks(ticks=note["l"], resolution=resolution)
tail_tip = position + NotePosition(*P_VALUE_TO_X_Y_OFFSET[note["p"]])
return LongNote(time, position, duration, tail_tip)
else:
return TapNote(time, position)
def load_memon_legacy(file: Path) -> Song:
raw_memon = _load_raw_memon(file)
schema = Memon_legacy()
memon = schema.load(raw_memon)
metadata = Metadata(
title=memon["metadata"]["title"],
artist=memon["metadata"]["artist"],
audio=Path(memon["metadata"]["audio"]),
cover=Path(memon["metadata"]["cover"]),
)
global_timing = Timing(
events=[BPMEvent(time=BeatsTime(0), BPM=memon["metadata"]["BPM"])],
beat_zero_offset=SecondsTime(-memon["metadata"]["offset"]),
)
charts: MultiDict[Chart] = MultiDict()
for memon_chart in memon["data"]:
charts.add(
memon_chart["dif_name"],
Chart(
level=memon_chart["level"],
notes=[
_load_memon_note_v0(note, memon_chart["resolution"])
for note in memon_chart["notes"]
],
),
)
return Song(metadata=metadata, charts=charts, global_timing=global_timing)
def load_memon_0_1_0(file: Path) -> Song:
raw_memon = _load_raw_memon(file)
schema = Memon_0_1_0()
memon = schema.load(raw_memon)
metadata = Metadata(
title=memon["metadata"]["title"],
artist=memon["metadata"]["artist"],
audio=Path(memon["metadata"]["audio"]),
cover=Path(memon["metadata"]["cover"]),
)
global_timing = Timing(
events=[BPMEvent(time=BeatsTime(0), BPM=memon["metadata"]["BPM"])],
beat_zero_offset=SecondsTime(-memon["metadata"]["offset"]),
)
charts: MultiDict[Chart] = MultiDict()
for difficulty, memon_chart in memon["data"].items():
charts.add(
difficulty,
Chart(
level=memon_chart["level"],
notes=[
_load_memon_note_v0(note, memon_chart["resolution"])
for note in memon_chart["notes"]
],
),
)
return Song(metadata=metadata, charts=charts, global_timing=global_timing)
def load_memon_0_2_0(file: Path) -> Song:
raw_memon = _load_raw_memon(file)
schema = Memon_0_2_0()
memon = schema.load(raw_memon)
preview = None
if "preview" in memon["metadata"]:
start = memon["metadata"]["preview"]["position"]
length = memon["metadata"]["preview"]["length"]
preview = Preview(start, length)
metadata = Metadata(
title=memon["metadata"]["title"],
artist=memon["metadata"]["artist"],
audio=Path(memon["metadata"]["audio"]),
cover=Path(memon["metadata"]["cover"]),
preview=preview,
)
global_timing = Timing(
events=[BPMEvent(time=BeatsTime(0), BPM=memon["metadata"]["BPM"])],
beat_zero_offset=SecondsTime(-memon["metadata"]["offset"]),
)
charts: MultiDict[Chart] = MultiDict()
for difficulty, memon_chart in memon["data"].items():
charts.add(
difficulty,
Chart(
level=memon_chart["level"],
notes=[
_load_memon_note_v0(note, memon_chart["resolution"])
for note in memon_chart["notes"]
],
),
)
return Song(metadata=metadata, charts=charts, global_timing=global_timing)
def _long_note_tail_value_v0(note: LongNote) -> int:
dx = note.tail_tip.x - note.position.x
dy = note.tail_tip.y - note.position.y
try:
return X_Y_OFFSET_TO_P_VALUE[dx, dy]
except KeyError:
raise ValueError(
f"memon cannot represent a long note with its tail starting ({dx}, {dy}) away from the note"
) from None
def _get_timing(song: Song) -> Timing:
if song.global_timing is not None:
return song.global_timing
else:
return next(
chart.timing for chart in song.charts.values() if chart.timing is not None
)
def _raise_if_unfit_for_v0(song: Song, version: str) -> None:
"""Raises an exception if the Song object is ill-formed or contains information
that cannot be represented in a memon v0.x.y file (includes legacy)"""
if song.global_timing is None and all(
chart.timing is None for chart in song.charts.values()
):
raise ValueError("The song has no timing information")
chart_timings = [
chart.timing for chart in song.charts.values() if chart.timing is not None
]
if chart_timings:
first_one = chart_timings[0]
if any(t != first_one for t in chart_timings):
raise ValueError(
f"memon:{version} cannot represent a song with per-chart timing"
)
timing = _get_timing(song)
number_of_timing_events = len(timing.events)
if number_of_timing_events != 1:
if number_of_timing_events == 0:
raise ValueError("The song has no BPM")
else:
raise ValueError(f"memon:{version} does not handle BPM changes")
event = timing.events[0]
if event.BPM <= 0:
raise ValueError(f"memon:{version} only accepts strictly positive BPMs")
if event.time != 0:
raise ValueError(f"memon:{version} only accepts a BPM on the first beat")
for difficulty, chart in song.charts.items():
if len(set(chart.notes)) != len(chart.notes):
raise ValueError(
f"{difficulty} chart has duplicate notes, these cannot be represented"
)
def _dump_to_json(memon: dict) -> bytes:
memon_fp = StringIO()
json.dump(memon, memon_fp, use_decimal=True, indent=4)
return memon_fp.getvalue().encode("utf-8")
def _compute_resolution(notes: List[Union[TapNote, LongNote]]) -> int:
return lcm(
*chain(
iter(note.time.denominator for note in notes),
iter(
note.duration.denominator
for note in notes
if isinstance(note, LongNote)
),
)
)
def _dump_memon_note_v0(
note: Union[TapNote, LongNote], resolution: int
) -> Dict[str, int]:
"""converts a note into the {n, t, l, p} form"""
memon_note = {
"n": note.position.index,
"t": note.time.numerator * (resolution // note.time.denominator),
"l": 0,
"p": 0,
}
if isinstance(note, LongNote):
memon_note["l"] = note.duration.numerator * (
resolution // note.duration.denominator
)
memon_note["p"] = _long_note_tail_value_v0(note)
return memon_note
def dump_memon_legacy(song: Song, path: Path, **kwargs: dict) -> Dict[Path, bytes]:
_raise_if_unfit_for_v0(song, "legacy")
timing = _get_timing(song)
memon: Dict[str, Any] = {
"metadata": {
"song title": song.metadata.title,
"artist": song.metadata.artist,
"music path": str(song.metadata.audio),
"jacket path": str(song.metadata.cover),
"BPM": timing.events[0].BPM,
"offset": -timing.beat_zero_offset,
},
"data": [],
}
for difficulty, chart in song.charts.items():
resolution = _compute_resolution(chart.notes)
memon["data"].append(
{
"dif_name": difficulty,
"level": chart.level,
"resolution": resolution,
"notes": [
_dump_memon_note_v0(note, resolution)
for note in sorted(
set(chart.notes), key=lambda n: (n.time, n.position)
)
],
}
)
if path.is_dir():
filepath = path / f"{song.metadata.title}.memon"
else:
filepath = path
return {filepath: _dump_to_json(memon)}
def dump_memon_0_1_0(song: Song, path: Path, **kwargs: dict) -> Dict[Path, bytes]:
_raise_if_unfit_for_v0(song, "v0.1.0")
timing = _get_timing(song)
memon: Dict[str, Any] = {
"version": "0.1.0",
"metadata": {
"song title": song.metadata.title,
"artist": song.metadata.artist,
"music path": str(song.metadata.audio),
"album cover path": str(song.metadata.cover),
"BPM": timing.events[0].BPM,
"offset": -timing.beat_zero_offset,
},
"data": dict(),
}
for difficulty, chart in song.charts.items():
resolution = _compute_resolution(chart.notes)
memon["data"][difficulty] = {
"level": chart.level,
"resolution": resolution,
"notes": [
_dump_memon_note_v0(note, resolution)
for note in sorted(set(chart.notes), key=lambda n: (n.time, n.position))
],
}
if path.is_dir():
filepath = path / f"{song.metadata.title}.memon"
else:
filepath = path
return {filepath: _dump_to_json(memon)}
def dump_memon_0_2_0(song: Song, path: Path, **kwargs: dict) -> Dict[Path, bytes]:
_raise_if_unfit_for_v0(song, "v0.2.0")
timing = _get_timing(song)
memon: Dict[str, Any] = {
"version": "0.2.0",
"metadata": {
"song title": song.metadata.title,
"artist": song.metadata.artist,
"music path": str(song.metadata.audio),
"album cover path": str(song.metadata.cover),
"BPM": timing.events[0].BPM,
"offset": -timing.beat_zero_offset,
},
"data": {},
}
if song.metadata.preview is not None:
memon["metadata"]["preview"] = {
"position": song.metadata.preview.start,
"length": song.metadata.preview.length,
}
for difficulty, chart in song.charts.items():
resolution = _compute_resolution(chart.notes)
memon["data"][difficulty] = {
"level": chart.level,
"resolution": resolution,
"notes": [
_dump_memon_note_v0(note, resolution)
for note in sorted(set(chart.notes), key=lambda n: (n.time, n.position))
],
}
if path.is_dir():
filepath = path / f"{song.metadata.title}.memon"
else:
filepath = path
return {filepath: _dump_to_json(memon)}

View File

@ -32,14 +32,15 @@ def dump_and_load(
file.seek(0)
actual_song = load_function(Path(file.name))
assert expected_song == actual_song
assert actual_song == expected_song
@st.composite
def memon_legacy_compatible_song(draw: DrawFunc) -> Song:
"""Memon versions below v0.2.0 do not support preview metadata"""
"""Memon versions below v0.2.0 do not support any preview metadata"""
song: Song = draw(song_strat(TimingOption.GLOBAL, True, NoteOption.LONGS))
song.metadata.preview = None
song.metadata.preview_file = None
return song
@ -58,7 +59,10 @@ def test_memon_0_1_0(song: Song) -> None:
@st.composite
def memon_0_2_0_compatible_song(draw: DrawFunc) -> Song:
return draw(song_strat(TimingOption.GLOBAL, True, NoteOption.LONGS)) # type: ignore
"""Memon v0.2.0 does not support preview_file"""
song: Song = draw(song_strat(TimingOption.GLOBAL, True, NoteOption.LONGS))
song.metadata.preview_file = None
return song
@given(memon_0_2_0_compatible_song())

View File

@ -2,6 +2,7 @@ import unicodedata
from functools import reduce
from math import gcd
from typing import Callable, Iterable, Optional, TypeVar
from numbers import Number
def single_lcm(a: int, b: int) -> int: