def f053(m: OsuMap):
events = [
SvOsuMeasureLineEvent(firstOffset=20857,
lastOffset=21097,
startX=0,
endX=pi,
startY=0,
endY=2,
funcs=[lambda x: np.sin(x)])
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=20857,
lastOffset=21097,
paddingSize=PADDING,
endBpm=MAX_BPM)
bpms.extend([
OsuBpm(21337, 0.001),
OsuBpm(21576, 54750),
OsuBpm(21577, 250, metronome=999)
])
svs.extend([
OsuSv(17737, multiplier=0.6),
OsuSv(18457, multiplier=0.6),
OsuSv(21577, multiplier=0.6)
])
m.svs.extend(svs)
m.bpms.extend(bpms)
def f950(m: OsuMap):
FIRST = 375444
LAST = 383124
events = [
*[SvOsuMeasureLineEvent(
firstOffset=o, lastOffset=LAST,
startX=0, endX=1,
startY=-1, endY=1,
funcs=[
lambda x: np.cos(x * pi / 2) ** COS_POWER
]) for o in np.linspace(FIRST, LAST, 75)],
* [SvOsuMeasureLineEvent(
firstOffset=o, lastOffset=LAST,
startX=0, endX=1,
startY=-1, endY=1,
funcs=[
lambda x: -np.cos(x * pi / 2) ** COS_POWER
]) for o in np.linspace(FIRST, LAST, 75)]
]
for e, (first, last) in enumerate(zip(np.linspace(FIRST, LAST, 10)[:-1], np.linspace(FIRST, LAST, 10)[1:])):
svs, bpms = svOsuMeasureLineMD(events=events,
scalingFactor=SCALE,
firstOffset=first,
lastOffset=last,
paddingSize=PADDING * e,
endBpm=MIN_BPM)
m.svs.extend(svs)
m.bpms.extend(bpms[:-1])
m.bpms.append(OsuBpm(LAST, 250))
def f018(m: OsuMap):
events = [*[SvOsuMeasureLineEvent(
firstOffset=7297 + i, lastOffset=7297 + 500 + i,
startX=0.01, endX=40,
startY=-10, endY=10,
funcs=[
lambda x: np.log(x)
]) for i in np.linspace(0, 500, 5)],
*[SvOsuMeasureLineEvent(
firstOffset=7417 + i, lastOffset=7417 + 500 + i,
startX=0.01, endX=40,
startY=-10, endY=10,
funcs=[
lambda x: np.log(x)
]) for i in np.linspace(0, 500, 5)],
*[SvOsuMeasureLineEvent(
firstOffset=7447, lastOffset=7657,
startX=0, endX=1,
startY=0, endY=1,
funcs=[
lambda x, i=i: i * x for i in np.linspace(0, 1, 100)
])]
]
f = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=7297,
lastOffset=7657,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(f[0])
m.bpms.extend(f[1])
def f024(m: OsuMap):
events = [*[SvOsuMeasureLineEvent(
firstOffset=i, lastOffset=9337,
startX=1, endX=0,
startY=-1, endY=0,
funcs=[
lambda x, j=j: -x + j for j in np.linspace(0, 1, 15)
]) for i in np.linspace(8857, 9337, 8)],
*[SvOsuMeasureLineEvent(
firstOffset=9337, lastOffset=11017,
startX=i, endX=i + 1,
startY=-1, endY=1,
funcs=[
lambda x: -x + 2
]) for i in np.linspace(0, 1, 50)],
*[SvOsuMeasureLineEvent(
firstOffset=9337, lastOffset=11017,
startX=i, endX=i + 1,
startY=-1, endY=1,
funcs=[
lambda x: x - 2
]) for i in np.linspace(0, 1, 50)],
]
f = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=8857,
lastOffset=11017,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(f[0])
m.bpms.extend(f[1])
def f028(m: OsuMap):
events = [
SvOsuMeasureLineEvent(firstOffset=11017,
lastOffset=12937,
startX=0,
endX=1,
startY=0,
endY=1,
funcs=[lambda x: 0.5]),
SvOsuMeasureLineEvent(firstOffset=12667,
lastOffset=12757,
startX=0,
endX=pi,
startY=0,
endY=1,
funcs=[lambda x: np.abs(np.sin(x)) / 4 + 0.5]),
SvOsuMeasureLineEvent(firstOffset=12757,
lastOffset=12887,
startX=0,
endX=pi,
startY=0,
endY=1,
funcs=[lambda x: -np.abs(np.sin(x)) / 4 + 0.5]),
*[
SvOsuMeasureLineEvent(firstOffset=12757 + i,
lastOffset=15337,
startX=-5,
endX=0.5,
startY=0,
endY=1,
funcs=[lambda x: np.e**x + 0.5])
for i in np.linspace(0, 15337 - 12757, 50)
], *[
SvOsuMeasureLineEvent(firstOffset=12757 + i,
lastOffset=15337,
startX=-5,
endX=0.5,
startY=0,
endY=1,
funcs=[lambda x: -np.e**x + 0.5])
for i in np.linspace(0, 15337 - 12757, 50)
]
]
f = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=11017,
lastOffset=15337,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(f[0])
m.bpms.extend(f[1])
def testMD(self):
# Grabbed from Cross Shutter.
events = [
SvOsuMeasureLineEvent(
10000,
20000, [lambda x, i=i, z=z: (z + (x + i / 5000)) % 1],
startX=0,
endX=1,
startY=0,
endY=1) for i in range(0, 10000, 250)
for z in np.linspace(0, 0.03, 5)
]
svs, bpms = svOsuMeasureLineMD(events,
firstOffset=10000,
lastOffset=20000,
endBpm=200,
scalingFactor=1.55,
paddingSize=10)
events = [
SvOsuMeasureLineEvent(firstOffset=10000,
lastOffset=20000,
funcs=[lambda x, i=i: x + i],
startX=0,
endX=1,
startY=0,
endY=1) for i in range(0, 10000, 250)
]
svs, bpms = svOsuMeasureLineMD(events,
firstOffset=10000,
lastOffset=20000,
endBpm=200,
scalingFactor=1.55,
paddingSize=10)
def f513(m: OsuMap):
events = [
# P: Position
# P_: Individual line position
# OD: Offset with delay
*[
SvOsuMeasureLineEvent(
firstOffset=o,
lastOffset=205182,
startX=0,
endX=1,
startY=0,
endY=1,
funcs=[
lambda x, p_=p_: np.sin(x * pi / 2)**SIN_CURVE * p_
for p_ in np.linspace(p, p + THICKNESS, RAND_SIZE // 3)
]) for o, p in zip(offsets, positions)
],
*[
SvOsuMeasureLineEvent(
firstOffset=205182,
lastOffset=205662,
startX=0,
endX=1,
startY=0,
endY=1,
funcs=[
lambda x, p_=p_:
(-np.sin(x * pi / 2)**
(SIN_CURVE * 3) + 1) * p_ + 0.5 * np.sin(x * pi / 2)**
(SIN_CURVE * 3
) # This offsets the close to 0.5 with sin easing
for p_ in np.linspace(p, p + THICKNESS, RAND_SIZE // 3)
]) for o, p in zip(offsets, positions)
]
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=202782,
lastOffset=205662,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(svs)
m.bpms.extend(bpms)
def f247(m: OsuMap):
notes = sorted([n for n in m.notes.hits() if 97742 < n.offset <= 125993])
BASE_SHAKE_AMP = 0.010
INC_SHAKE_AMP = 0.0010
SHAKE_WINDOW = 250
NOTE_DURATION = 2000
# noinspection PyTypeChecker
events = [
*[
SvOsuMeasureLineEvent(
firstOffset=n.offset - NOTE_DURATION - t,
lastOffset=n.offset - t,
startX=n.offset - NOTE_DURATION - t,
endX=n.offset - t,
startY=-1 + en / 500,
endY=1 - en / 500,
funcs=[
lambda x, n=n, t=t:
# This flips the board if it's < 2
(-1 if n.column < 2 else 1) *
(np.piecewise(x, [(i <= x) & (
x < i + SHAKE_WINDOW) for i in SHAKES], [
*[
lambda x, i=i, es=es:
(BASE_SHAKE_AMP + es * INC_SHAKE_AMP) * np.sin(
(x - i) * pi / (SHAKE_WINDOW - es * 3))
for es, i in enumerate(SHAKES)
], lambda x: 0
]) + (x - (n.offset - t)) / NOTE_DURATION)
]) for en, n in enumerate(notes)
for t in np.linspace(0, 24, NOTE_THICKNESS)
]
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=97742,
lastOffset=125993,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(svs)
m.bpms.extend(bpms)
def f017(m: OsuMap):
events = [SvOsuMeasureLineEvent(
firstOffset=6697, lastOffset=7177,
startX=5, endX=60,
startY=-25, endY=25,
funcs=[
*[lambda x, i=i: np.sin(5 * (x + i)) * (x + i) ** 2 / 100 for i in np.linspace(0, 20, 10)]
])]
f = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=6697,
lastOffset=7177,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(f[0])
m.bpms.extend(f[1])
def f019(m: OsuMap):
events = [
*[
SvOsuMeasureLineEvent(firstOffset=7657,
lastOffset=8317,
startX=1 + i,
endX=0 + i,
startY=-1,
endY=0,
funcs=[lambda x: -x])
for i in np.linspace(0, 1, 100)
], *[
SvOsuMeasureLineEvent(firstOffset=8317,
lastOffset=8407,
startX=1 + i,
endX=0 + i,
startY=-1,
endY=0,
funcs=[lambda x: -x])
for i in np.linspace(0, 1, 100)
], *[
SvOsuMeasureLineEvent(firstOffset=8407,
lastOffset=8557,
startX=1 + i,
endX=0 + i,
startY=-1,
endY=0,
funcs=[lambda x: -x])
for i in np.linspace(0, 1, 100)
]
]
f = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=7657,
lastOffset=8557,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(f[0])
m.bpms.extend(f[1])
def f442(m: OsuMap):
# noinspection PyTypeChecker
events = [[
SvOsuMeasureLineEvent(
firstOffset=174702,
lastOffset=175362,
startX=0,
endX=1,
startY=-1,
endY=1,
funcs=[lambda x, r=r: r * np.sin(x * pi / 2)**SIN_CURVE]),
SvOsuMeasureLineEvent(
firstOffset=175362,
lastOffset=176142,
startX=0,
endX=1,
startY=-1,
endY=1,
funcs=[lambda x, r=r: r * np.cos(x**POW_CURVE * pi)]),
SvOsuMeasureLineEvent(
firstOffset=176142,
lastOffset=176382,
startX=0,
endX=1,
startY=-1,
endY=1,
funcs=[lambda x, r=r: -r * (1 - np.sin(x * pi / 2)**SIN_CURVE)])
] for r in rand]
svs, bpms = svOsuMeasureLineMD([i for j in events for i in j],
scalingFactor=SCALE,
firstOffset=174702,
lastOffset=176382,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(svs)
m.bpms.extend(bpms)
def f002(m: OsuMap):
events = [
SvOsuMeasureLineEvent(firstOffset=937 + i,
lastOffset=6637 + i,
startX=2.5,
endX=35,
startY=-0.5,
endY=0.5,
funcs=[
lambda x: 1 / np.log(x**2) - .13,
lambda x: -1 / np.log(x**2) + .13
]) for i in np.linspace(0, 6637 - 937, 10)
]
f = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=937,
lastOffset=6637,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(f[0])
m.bpms.extend(f[1])
def f598(m: OsuMap):
events = [
*[
SvOsuMeasureLineEvent(
firstOffset=o0,
lastOffset=o1,
startX=-1,
endX=1,
startY=-1,
endY=1,
funcs=[
lambda x, r=r, s=s: s * r * np.cos(x * pi / 2)**COS_CURVE,
]) for r, o0, o1 in zip(rands, offsets0[:-1], offsets1[:-1])
for s in np.linspace(0.8, 1, RAND_SIZE // 4)
],
SvOsuMeasureLineEvent(firstOffset=236382,
lastOffset=240222,
startX=-1,
endX=1,
startY=-1,
endY=1,
funcs=[
lambda x, n=n: n * np.cos(x * pi / 2)**0.45
for n in np.linspace(0, 0.8, 50)
])
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=offsets0[0],
lastOffset=offsets1[-1],
paddingSize=PADDING,
endBpm=250)
m.svs.extend(svs)
m.bpms.extend(bpms)
def f319(m: OsuMap):
events = [*[SvOsuMeasureLineEvent(
firstOffset=125993, lastOffset=128093,
startX=-10, endX=0,
startY=-1, endY=1,
funcs=[
lambda x, a=a, c=c: a * (-1 / (x + 3 * c) + 1 / c + 1) * (-1 / (x + 11) + 1),
lambda x, a=a, c=c: -a * (-1 / (x + 3 * c) + 1 / c + 1) * (-1 / (x + 11) + 1)
]) for a, c in zip(amps, curves)],
*[SvOsuMeasureLineEvent(
firstOffset=128093, lastOffset=128243,
startX=0, endX=2,
startY=-1, endY=1,
funcs=[
lambda x, a=a, c=c: a / np.power(x + 1, 4),
lambda x, a=a, c=c: -a / np.power(x + 1, 4)
]) for a, c in zip(amps, curves)],
SvOsuMeasureLineEvent(
firstOffset=128243, lastOffset=128393,
startX=0, endX=1,
startY=0, endY=1,
funcs=[
lambda x: 0.5
]),
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=125993,
lastOffset=128393,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(svs)
m.bpms.extend(bpms)
def f325(m: OsuMap):
# Need to split in 2 because the 1/4 in the mids will be too hard to memorise
notes = sorted([n for n in m.notes.hits() if 128393 < n.offset <= 138837])
notes2 = sorted([n for n in m.notes.hits() if 138837 < n.offset <= 167558])
BASE_SHAKE_AMP = 0.05
INC_SHAKE_AMP = 0
SHAKE_WINDOW = 250
NOTE_DURATION = 2000
# noinspection PyTypeChecker
events = [
*[SvOsuMeasureLineEvent(
firstOffset=n.offset - NOTE_DURATION - t, lastOffset=n.offset - t,
startX=n.offset - NOTE_DURATION - t, endX=n.offset - t,
startY=-0.5 - en / 500 , endY=0.5 + en / 500,
funcs=[
lambda x, n=n, t=t:
# This flips the board if it's < 2
(-1 if n.column < 2 else 1) *
(
np.piecewise(x,
[(i <= x) & (x < i + SHAKE_WINDOW) for i in SHAKES],
[*[lambda x, i=i, es=es:
(BASE_SHAKE_AMP + es * INC_SHAKE_AMP)
* np.sin((x - i) * pi / (SHAKE_WINDOW - es * 3))
for es, i in enumerate(SHAKES)],
lambda x: 0])
+ (x - (n.offset - t)) / NOTE_DURATION
)
]) for en, n in enumerate(notes) for t in np.linspace(0, 24, NOTE_THICKNESS)],
*[SvOsuMeasureLineEvent(
firstOffset=n.offset - NOTE_DURATION - t, lastOffset=n.offset - t,
startX=n.offset - NOTE_DURATION - t, endX=n.offset - t,
startY=-1 - en / 250 , endY=1 + en / 250,
funcs=[
lambda x, n=n, t=t:
# This flips the board if it's < 2
(-1 if n.column < 2 else 1) *
(
np.piecewise(x,
[(i <= x) & (x < i + SHAKE_WINDOW) for i in SHAKES],
[*[lambda x, i=i, es=es:
(BASE_SHAKE_AMP + es * INC_SHAKE_AMP)
* np.sin((x - i) * pi / (SHAKE_WINDOW - es * 3))
for es, i in enumerate(SHAKES)],
lambda x: 0])
+ (x - (n.offset - t)) / NOTE_DURATION
)
]) for en, n in enumerate(notes2) if n.column == 0 or n.column == 3
for t in np.linspace(0, 24, NOTE_THICKNESS)],
*[SvOsuMeasureLineEvent(
firstOffset=n.offset - NOTE_DURATION - t, lastOffset=n.offset - t,
startX=n.offset - NOTE_DURATION - t, endX=n.offset - t,
startY=-1 - en / 250 , endY=1 + en / 250,
funcs=[
lambda x, n=n, t=t:
# This flips the board if it's < 2
(-1 if n.column < 2 else 1) *
(
np.piecewise(x,
[(i <= x) & (x < i + SHAKE_WINDOW) for i in SHAKES],
[*[lambda x, i=i, es=es:
(BASE_SHAKE_AMP + es * INC_SHAKE_AMP)
* np.sin((x - i) * pi / (SHAKE_WINDOW - es * 3))
for es, i in enumerate(SHAKES)],
lambda x: 0])
- (x - (n.offset + t) + NOTE_DURATION) / NOTE_DURATION
)
]) for en, n in enumerate(notes2) if n.column == 1 or n.column == 2
for t in np.linspace(0, 24, NOTE_THICKNESS)],
SvOsuMeasureLineEvent(
firstOffset=128393, lastOffset=167558,
startX=0, endX=1,
startY=0, endY=1,
funcs=[
lambda x: 0.5,
]),
*[SvOsuMeasureLineEvent(
firstOffset=j, lastOffset=169902 - (j - 167558) % 500,
startX=0.01, endX=20,
startY=-3, endY=3,
funcs=[
*[lambda x, i=i: i / 100 / (x ** 1.7) for i in np.random.randint(-100, 100, RAND_SIZE // 10)],
]) for j in np.random.randint(167558, 169902 - 100, RAND_SIZE * 2)],
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=128393,
lastOffset=169902,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(svs)
m.bpms.extend(bpms)
def f486(m: OsuMap):
notes = sorted([
*[h for h in m.notes.hits() if 191982 <= h.offset <= 198462],
*[h for h in m.notes.holds() if 191982 <= h.offset <= 198462]
],
key=lambda x: x.offset)
# These are the offsets that trigger a move
offsets = [n.offset for n in notes] + [201582] * WHEEL_SLOTS * 2
# These are the wheel columns
cols = [n.column + 1 for n in notes] + [0] * WHEEL_SLOTS * 2
events = [
# We'll set up the wheel here
# Depending on the column, we need to adjust it accordingly.
# The method is to look at WHEEL items at once, then show a slowed image or move
# MOVE
*[
SvOsuMeasureLineEvent(
firstOffset=o,
lastOffset=offsets[i + 1],
startX=0,
endX=1,
startY=0.2,
endY=WHEEL_SLOTS - 1,
funcs=[
*[
lambda x, i=i, c=c, cp=cp, cv=cv, t=t: c /
(cv + 1) # The relative spot to the cv
+ cp + 1 # Correct placement of wheel slot
+ (np.cos(x * pi / 2)**COS_POWER - 1) # Cosine easing
- t # Add thickness
+ 1 / (cv + 1) # Make all in center
# For each i, we get the col value
for cp, cv in enumerate(cols[i + 1:i + WHEEL_SLOTS])
# For each col value, we loop through it to make each column line
for c in range(cv)
# For each col line, we make it thicker by repeating
for t in np.linspace(-0.025, 0.025,
int(NOTE_THICKNESS * 1.5))
],
# Add note hit positions
*[
lambda x, w=w: 1 +
(np.cos(x * pi / 2)**COS_POWER - 1) + w
for w in range(WHEEL_SLOTS)
]
]) for i, o in enumerate(offsets[:-WHEEL_SLOTS])
]
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=191982,
lastOffset=201582,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(svs)
m.bpms.extend(bpms)
def f083(m: OsuMap):
notes = [h for h in m.notes.hits() if 33000 < h.offset < 55200]
notes2 = [h for h in m.notes.hits() if 55900 < h.offset < 63900]
sweeps = OsuHitList.readEditorString(
"00:36:457 (36457|3,40297|3,44137|3,47977|3,51817|3,59497|3)").offsets(
)
events = [
SvOsuMeasureLineEvent(firstOffset=32857,
lastOffset=55177,
startX=0,
endX=1,
startY=0,
endY=1,
funcs=[
lambda x: 0.25,
lambda x: 0.50,
lambda x: 0.75,
lambda x: 1,
]),
*[
SvOsuMeasureLineEvent(
firstOffset=n.offset - 500,
lastOffset=n.offset,
startX=1,
endX=0,
startY=0,
endY=4,
funcs=[
lambda x, n=n, t=t: x - t + n.column
for t in np.linspace(0, 0.05, NOTE_THICKNESS)
]) for n in notes
],
*[
SvOsuMeasureLineEvent(
firstOffset=55177,
lastOffset=55777,
startX=0,
endX=1,
startY=0,
endY=1,
funcs=[
lambda x, i=i: 0 + x + np.random.rand() % 0.2,
lambda x, i=i: 0.25 + x + np.random.rand() % 0.2,
lambda x, i=i: 0.50 + x + np.random.rand() % 0.2,
lambda x, i=i: 0.75 + x + np.random.rand() % 0.2,
lambda x, i=i: 0 - x + np.random.rand() % 0.2,
lambda x, i=i: 0.25 - x + np.random.rand() % 0.2,
lambda x, i=i: 0.50 - x + np.random.rand() % 0.2,
lambda x, i=i: 0.75 - x + np.random.rand() % 0.2,
]) for i in range(0, RAND_SIZE // 3)
],
SvOsuMeasureLineEvent(firstOffset=55777,
lastOffset=63817,
startX=0,
endX=8,
startY=0,
endY=1,
funcs=[
lambda x: 0.25,
lambda x: 0.50,
lambda x: 0.75,
lambda x: 1,
]),
*[
SvOsuMeasureLineEvent(
firstOffset=n.offset - 500,
lastOffset=n.offset,
startX=0,
endX=1,
startY=0,
endY=4,
funcs=[
lambda x, n=n, t=t: x - t + n.column
for t in np.linspace(0, 0.05, NOTE_THICKNESS)
]) for n in notes2
],
# These are the sweeps
*[
SvOsuMeasureLineEvent(
firstOffset=s - 240,
lastOffset=s + 240,
startX=-1,
endX=1,
startY=0,
endY=1,
funcs=[
lambda x, t=t:
(1 / np.random.rand()**2 * np.abs(np.sin((x - t) * pi)) +
(x - t)**2) % 1
for t in np.linspace(0, 0.25, RAND_SIZE // 2)
]) for s in sweeps
]
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=32857,
lastOffset=63817,
paddingSize=PADDING,
endBpm=250,
metronome=999)
m.svs.extend(svs)
m.bpms.extend(bpms)
def f233(m: OsuMap):
events = [
SvOsuMeasureLineEvent(
firstOffset=92102,
lastOffset=92822,
startX=-2,
endX=2,
startY=-6,
endY=6,
funcs=[
lambda x, i=i: np.abs(x) + np.sin(5 * x) * x**2 * i
for i in range(-5, 6)
]),
SvOsuMeasureLineEvent(
firstOffset=92822,
lastOffset=92822 + 10,
startX=0,
endX=1,
startY=0.2,
endY=0.8,
funcs=[
*[lambda x, i=i: i for i in np.linspace(0, 1, RAND_SIZE * 2)],
]),
SvOsuMeasureLineEvent(firstOffset=92822 + 10,
lastOffset=92882,
startX=0,
endX=0.2,
startY=0.2,
endY=0.8,
funcs=[]),
SvOsuMeasureLineEvent(
firstOffset=92882,
lastOffset=92882 + 10,
startX=0.01,
endX=0.05,
startY=0.2,
endY=0.8,
funcs=[
*[lambda x, i=i: i for i in np.linspace(0, 1, RAND_SIZE // 3)],
]),
SvOsuMeasureLineEvent(firstOffset=92882 + 10,
lastOffset=92942,
startX=0,
endX=0.2,
startY=0.2,
endY=0.8,
funcs=[]),
SvOsuMeasureLineEvent(
firstOffset=92942,
lastOffset=93062,
startX=0,
endX=0.05,
startY=0.2,
endY=0.8,
funcs=[
*[
lambda x, i=i: i + x
for i in np.linspace(0, 1, RAND_SIZE // 2)
],
]),
SvOsuMeasureLineEvent(
firstOffset=93062,
lastOffset=93302,
startX=0,
endX=0.05,
startY=0.2,
endY=0.8,
funcs=[
*[lambda x, i=i: i - x for i in np.linspace(0, 1, RAND_SIZE)],
]),
SvOsuMeasureLineEvent(firstOffset=93302,
lastOffset=93482,
startX=0,
endX=0.05,
startY=0,
endY=1,
funcs=[]),
SvOsuMeasureLineEvent(
firstOffset=93482,
lastOffset=93902,
startX=0,
endX=0.2,
startY=0.2,
endY=0.8,
funcs=[
*[
lambda x, i=i: i - x
for i in np.linspace(0, 1, RAND_SIZE // 3)
],
*[
lambda x, i=i: i + x
for i in np.linspace(0, 1, RAND_SIZE // 2)
],
]),
*[
SvOsuMeasureLineEvent(
firstOffset=j,
lastOffset=97442 - (j - 93902) % 500,
startX=0.01,
endX=20,
startY=-3,
endY=3,
funcs=[
*[
lambda x, i=i: i / 100 / (x**1.7)
for i in np.random.randint(-100, 100, RAND_SIZE // 10)
],
])
for j in np.random.randint(93902, 97442 - 100, RAND_SIZE * 2)
],
SvOsuMeasureLineEvent(firstOffset=97502,
lastOffset=97742,
startX=0,
endX=1,
startY=0,
endY=1,
funcs=[lambda x: 0.5]),
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=92102,
lastOffset=97742,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(svs)
m.bpms.extend(bpms)
def f162(m: OsuMap):
hits0 = [h for h in m.notes.hits() if 63817 <= h.offset < 70674]
hits1 = [h for h in m.notes.hits() if 70674 <= h.offset < 77531]
holds2 = [h for h in m.notes.holds() if 77531 <= h.offset < 84388]
holds3 = [h for h in m.notes.holds() if 84388 <= h.offset < 90388]
hits4 = [h for h in m.notes.hits() if 90388 <= h.offset <= 91245]
events = [SvOsuMeasureLineEvent(
firstOffset=63817, lastOffset=70674,
startX=0, endX=1,
startY=0, endY=1,
funcs=[
lambda x: 0 + SWAY_MAG * np.sin(x * pi * 4),
lambda x: 0.25 + SWAY_MAG * np.sin(x * pi * 4),
lambda x: 0.50 + SWAY_MAG * np.sin(x * pi * 4),
lambda x: 0.75 + SWAY_MAG * np.sin(x * pi * 4),
lambda x: 1 + SWAY_MAG * np.sin(x * pi * 4),
]),
*[SvOsuMeasureLineEvent(
firstOffset=h.offset - WAIT, lastOffset=h.offset,
startX=1, endX=0,
startY=0, endY=1,
funcs=[
lambda x, h=h, i=i:
x * 0.25 + i + h.column * 0.25
+ SWAY_MAG * np.sin((h.offset - 63817) / (70674 - 63817) * pi * 4)
for i in np.linspace(0, 0.02, int(1 + e / 2))
]) for e, h in enumerate(hits0)],
SvOsuMeasureLineEvent(
firstOffset=70674, lastOffset=77531,
startX=0, endX=1,
startY=0, endY=1,
funcs=[
lambda x: 0 + SWAY_MAG * np.sin(x * pi * 4),
lambda x: 0.25 + SWAY_MAG * np.sin(x * pi * 4),
lambda x: 0.50 + SWAY_MAG * np.sin(x * pi * 4),
lambda x: 0.75 + SWAY_MAG * np.sin(x * pi * 4),
lambda x: 1 + SWAY_MAG * np.sin(x * pi * 4),
]),
*[SvOsuMeasureLineEvent(
firstOffset=h.offset - WAIT, lastOffset=h.offset,
startX=0, endX=1,
startY=0, endY=1,
funcs=[
lambda x, h=h, i=i:
x * 0.25 - i + h.column * 0.25
+ SWAY_MAG * np.sin((h.offset - 70674) / (77531 - 70674) * pi * 4)
for i in np.linspace(0, 0.02, max(1, int(10 - e / 2)))
]) for e, h in enumerate(hits1)],
SvOsuMeasureLineEvent(
firstOffset=77531, lastOffset=84388,
startX=0, endX=1,
startY=0, endY=1,
funcs=[
lambda x: 0 + SWAY_MAG * np.sin(x * pi * 4),
lambda x: 0.25 + SWAY_MAG * np.sin(x * pi * 4),
lambda x: 0.50 + SWAY_MAG * np.sin(x * pi * 4),
lambda x: 0.75 + SWAY_MAG * np.sin(x * pi * 4),
lambda x: 1 + SWAY_MAG * np.sin(x * pi * 4)
]),
*[SvOsuMeasureLineEvent(
firstOffset=h.offset - WAIT + i, lastOffset=h.offset + i,
startX=1, endX=0,
startY=0, endY=1,
funcs=[
lambda x, h=h:
x * 0.25 + h.column * 0.25
+ SWAY_MAG * np.sin((h.offset - 77531) / (84388 - 77531) * pi * 4)
]) for h in holds2 for i in np.linspace(0, h.length, NOTE_THICKNESS)],
SvOsuMeasureLineEvent(
firstOffset=84388, lastOffset=90388,
startX=0, endX=1,
startY=0, endY=1,
funcs=[
lambda x: 0 + SWAY_MAG * np.sin(x * pi * 3.5),
lambda x: 0.25 + SWAY_MAG * np.sin(x * pi * 3.5),
lambda x: 0.50 + SWAY_MAG * np.sin(x * pi * 3.5),
lambda x: 0.75 + SWAY_MAG * np.sin(x * pi * 3.5),
lambda x: 1 + SWAY_MAG * np.sin(x * pi * 3.5),
]),
*[SvOsuMeasureLineEvent(
firstOffset=h.offset - WAIT + i, lastOffset=h.offset + i,
startX=0, endX=1,
startY=0, endY=1,
funcs=[
lambda x, h=h:
x * 0.25 + h.column * 0.25
+ SWAY_MAG * np.sin((h.offset - 84388) / (91245 - 84388) * pi * 4)
]) for h in holds3 for i in np.linspace(0, h.length, NOTE_THICKNESS)],
SvOsuMeasureLineEvent(
firstOffset=90388, lastOffset=91245,
startX=0, endX=1,
startY=0, endY=1,
funcs=[
lambda x: 0 ,
lambda x: 0.25 ,
lambda x: 0.50 ,
lambda x: 0.75 ,
lambda x: 1 ,
]),
*[SvOsuMeasureLineEvent(
firstOffset=h.offset - WAIT / 2, lastOffset=h.offset,
startX=1, endX=0,
startY=0, endY=1,
funcs=[
lambda x, h=h, i=i:
x * 0.25 - i + h.column * 0.25
for i in np.linspace(0, 0.02, NOTE_THICKNESS)
]) for h in hits4],
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=63817,
lastOffset=91245,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(svs)
m.bpms.extend(bpms)
def f039(m: OsuMap):
events = [
*[
SvOsuMeasureLineEvent(firstOffset=15337 + i * (17737 - 15337),
lastOffset=17737,
startX=0,
endX=1,
startY=0,
endY=1,
funcs=[lambda x, i=i: i * 0.20])
for i in np.linspace(0, 1, 30)
],
*[
SvOsuMeasureLineEvent(firstOffset=15817 + i * (17737 - 15817),
lastOffset=17737,
startX=0,
endX=1,
startY=0,
endY=1,
funcs=[lambda x, i=i: i * 0.20 + 0.20])
for i in np.linspace(0, 1, 25)
],
*[
SvOsuMeasureLineEvent(firstOffset=16297 + i * (17737 - 16297),
lastOffset=17737,
startX=0,
endX=1,
startY=0,
endY=1,
funcs=[lambda x, i=i: i * 0.20 + 0.40])
for i in np.linspace(0, 1, 20)
],
*[
SvOsuMeasureLineEvent(firstOffset=16777 + i * (17737 - 16777),
lastOffset=17737,
startX=0,
endX=1,
startY=0,
endY=1,
funcs=[lambda x, i=i: i * 0.20 + 0.60])
for i in np.linspace(0, 1, 15)
],
*[
SvOsuMeasureLineEvent(firstOffset=17257 + i * (17737 - 17257),
lastOffset=17737,
startX=0,
endX=1,
startY=0,
endY=1,
funcs=[lambda x, i=i: i * 0.20 + 0.80])
for i in np.linspace(0, 1, 10)
],
]
f = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=15337,
lastOffset=17737,
paddingSize=PADDING,
endBpm=250,
metronome=999)
m.svs.extend(f[0])
m.bpms.extend(f[1])
def f919(m: OsuMap):
def f0(smallStart, smallEnd, smallSize, bigStart, bigEnd, bigSize):
return [
lambda x, s=s, b=b: x + s + b
for s in np.linspace(smallStart, smallEnd, smallSize)
for b in np.linspace(bigStart, bigEnd, bigSize)
]
f00 = f0(0, 0.01, 1, 0, 0.8, 8)
f01 = f0(0, 0.05, 3, 0.2, 1, 5)
f02 = f0(0, 0.05, 10, 0, 1, 5)
events0 = [
*EVENT(f00, 0, 0.05, 0, 1, offsets0[:-1], offsets0[1:]),
*EVENT(f01, 0, 0.05, 0, 1, offsets0[1:-1], offsets0[2:]),
*EVENT(f02, 0, 0.05, 0, 1, offsets0[2:-1], offsets0[3:])
]
f10 = f0(0,
np.random.rand() % 0.05, np.random.randint(1, 4),
np.random.rand() % 0.1,
np.random.rand() % 0.1 + 0.9, np.random.randint(3, 7))
f11 = f0(0,
np.random.rand() % 0.05, np.random.randint(1, 4),
np.random.rand() % 0.1,
np.random.rand() % 0.1 + 0.9, np.random.randint(3, 7))
f12 = f0(0,
np.random.rand() % 0.05, np.random.randint(1, 4),
np.random.rand() % 0.1,
np.random.rand() % 0.1 + 0.9, np.random.randint(3, 7))
f13 = f0(0,
np.random.rand() % 0.05, np.random.randint(1, 4),
np.random.rand() % 0.1,
np.random.rand() % 0.1 + 0.9, np.random.randint(3, 7))
f14 = f0(0,
np.random.rand() % 0.05, np.random.randint(1, 4),
np.random.rand() % 0.1,
np.random.rand() % 0.1 + 0.9, np.random.randint(3, 7))
f15 = f0(0,
np.random.rand() % 0.05, np.random.randint(1, 4),
np.random.rand() % 0.1,
np.random.rand() % 0.1 + 0.9, np.random.randint(3, 7))
f16 = f0(0,
np.random.rand() % 0.05, np.random.randint(1, 4),
np.random.rand() % 0.1,
np.random.rand() % 0.1 + 0.9, np.random.randint(3, 7))
events1 = [
*EVENT(f10, -0.05, +0.05, 0, 1, offsets1[0:-1], offsets1[1:]),
*EVENT(f11, +0.05, -0.05, 0, 1, offsets1[1:-1], offsets1[2:]),
*EVENT(f12, -0.05, +0.05, 0, 1, offsets1[2:-1], offsets1[3:]),
*EVENT(f13, +0.05, -0.05, 0, 1, offsets1[3:-1], offsets1[4:]),
*EVENT(f14, -0.05, +0.05, 0, 1, offsets1[4:-1], offsets1[5:]),
*EVENT(f15, +0.05, -0.05, 0, 1, offsets1[5:-1], offsets1[6:]),
*EVENT(f16, -0.05, +0.05, 0, 1, offsets1[6:-1], offsets1[7:])
]
f20 = f0(0,
np.random.rand() % 0.08 + 0.05, np.random.randint(2, 7),
np.random.rand() % 0.1,
np.random.rand() % 0.1 + 0.9, np.random.randint(5, 10))
f21 = f0(0,
np.random.rand() % 0.08 + 0.05, np.random.randint(2, 7),
np.random.rand() % 0.1,
np.random.rand() % 0.1 + 0.9, np.random.randint(5, 10))
f22 = f0(0,
np.random.rand() % 0.08 + 0.05, np.random.randint(2, 7),
np.random.rand() % 0.1,
np.random.rand() % 0.1 + 0.9, np.random.randint(5, 10))
events2 = [
*EVENT(f20, -0.05, +0.05, 0, 1, offsets2[0:-1], offsets2[1:]),
*EVENT(f21, +0.05, -0.05, 0, 1, offsets2[1:-1], offsets2[2:]),
*EVENT(f22, -0.05, +0.05, 0, 1, offsets2[2:-1], offsets2[3:])
]
f30 = f0(0,
np.random.rand() % 0.1 + 0.1, np.random.randint(3, 8), 0, 1,
np.random.randint(5, 8))
f31 = f0(0,
np.random.rand() % 0.1 + 0.1, np.random.randint(3, 8), 0, 1,
np.random.randint(5, 8))
f32 = f0(0,
np.random.rand() % 0.1 + 0.1, np.random.randint(3, 8), 0, 1,
np.random.randint(5, 8))
events3 = [
*EVENT(f30, -0.05, +0.05, 0, 1, offsets3[0:-1], offsets3[1:]),
*EVENT(f31, +0.05, -0.05, 0, 1, offsets3[1:-1], offsets3[2:]),
*EVENT(f32, -0.05, +0.05, 0, 1, offsets3[2:-1], offsets3[3:])
]
svs, bpms = svOsuMeasureLineMD([*events0, *events1, *events2, *events3],
scalingFactor=SCALE,
firstOffset=offsets0[0],
lastOffset=offsets3[-1],
paddingSize=PADDING,
endBpm=250)
m.svs.extend(svs)
m.bpms.extend(bpms)
m.bpms.append(OsuBpm(offsets0[-1], REF_BPM // 3))
m.bpms.append(OsuBpm(offsets1[-1], REF_BPM // 3))
m.bpms.append(OsuBpm(offsets2[-1], REF_BPM // 3))
m.bpms.append(OsuBpm(offsets3[-1], REF_BPM // 3))
m.bpms.append(OsuBpm(offsets0[0] - 1, MAX_BPM))
m.bpms.append(OsuBpm(offsets1[0] - 1, MAX_BPM))
m.bpms.append(OsuBpm(offsets2[0] - 1, MAX_BPM))
m.bpms.append(OsuBpm(offsets3[0] - 1, MAX_BPM))
def f608(m: OsuMap):
events = [
# [0]------------------
*[SvOsuMeasureLineEvent(
firstOffset=offsets0[0], lastOffset=o,
startX=-1, endX=0,
startY=-1, endY=1,
funcs=[
lambda x, r=r, t=t:
(
r * (np.cos(x * pi / 2) ** COS_CURVE *
np.sin(x * pi / 2)) +
r * (x + 1)
) *
(
- np.sin(x * pi) + DAMP
) + t
for t in np.linspace(-0.01, 0.01, int(NOTE_THICKNESS * 2.5))
]
) for r, o in zip(rands[0], offsets0[1:-1])],
*[SvOsuMeasureLineEvent(
firstOffset=o, lastOffset=o + 1000,
startX=0, endX=1,
startY=-1, endY=1,
funcs=[
lambda x, r=r, exp=exp: r * DAMP + exp * np.sin(x * pi) ** SIN_CURVE
for exp in np.linspace(-EXPLOSION_RANGE, EXPLOSION_RANGE, EXPLOSION_LINES)
]
) for r, o in zip(rands[0], offsets0[1:-1])],
# [1]------------------
SvOsuMeasureLineEvent(
firstOffset=offsets0[-3], lastOffset=offsets0[-1],
startX=-1, endX=1,
startY=1, endY=-1,
funcs=[
lambda x, n=n:
n * np.cos(x * pi / 2) ** 0.45
for n in np.linspace(0, 0.8, 50)
]
),
*[SvOsuMeasureLineEvent(
firstOffset=offsets1[0], lastOffset=o,
startX=-1, endX=0,
startY=1, endY=-1,
funcs=[
lambda x, r=r, t=t:
(
r * (np.cos(x * pi / 2) ** COS_CURVE *
np.sin(x * pi / 2)) +
r * (x + 1)
) *
(
- np.sin(x * pi) + DAMP
) + t
for t in np.linspace(-0.01, 0.01, int(NOTE_THICKNESS * 2.5))
]
) for r, o in zip(rands[1], offsets1[1:-1])],
*[SvOsuMeasureLineEvent(
firstOffset=o, lastOffset=o + 1000,
startX=0, endX=1,
startY=1, endY=-1,
funcs=[
lambda x, r=r, exp=exp: r * DAMP + exp * np.sin(x * pi) ** SIN_CURVE
for exp in np.linspace(-EXPLOSION_RANGE, EXPLOSION_RANGE, EXPLOSION_LINES)
]
) for r, o in zip(rands[1], offsets1[1:-1])],
# [2]------------------
SvOsuMeasureLineEvent(
firstOffset=offsets1[-3], lastOffset=offsets1[-1],
startX=-1, endX=1,
startY=-1, endY=1,
funcs=[
lambda x, n=n:
n * np.cos(x * pi / 2) ** 0.45
for n in np.linspace(0, 0.8, 50)
]
),
*[SvOsuMeasureLineEvent(
firstOffset=offsets2[0], lastOffset=o,
startX=-1, endX=0,
startY=-1, endY=1,
funcs=[
lambda x, r=r, t=t:
(
r * (np.cos(x * pi / 2) ** COS_CURVE *
np.sin(x * pi / 2)) +
r * (x + 1)
) *
(
- np.sin(x * pi) + DAMP
) + t
for t in np.linspace(-0.01, 0.01, int(NOTE_THICKNESS * 2.5))
]
) for r, o in zip(rands[2], offsets2[1:-1])],
*[SvOsuMeasureLineEvent(
firstOffset=o, lastOffset=o + 1000,
startX=0, endX=1,
startY=-1, endY=1,
funcs=[
lambda x, r=r, exp=exp: r * DAMP + exp * np.sin(x * pi) ** SIN_CURVE
for exp in np.linspace(-EXPLOSION_RANGE, EXPLOSION_RANGE, EXPLOSION_LINES)
]
) for r, o in zip(rands[2], offsets2[1:-1])],
# [3]------------------
SvOsuMeasureLineEvent(
firstOffset=offsets2[-3], lastOffset=offsets2[-1],
startX=-1, endX=1,
startY=1, endY=-1,
funcs=[
lambda x, n=n:
n * np.cos(x * pi / 2) ** 0.45
for n in np.linspace(0, 0.8, 50)
]
),
*[SvOsuMeasureLineEvent(
firstOffset=offsets3[0], lastOffset=o,
startX=-1, endX=0,
startY=1, endY=-1,
funcs=[
lambda x, r=r, t=t:
(
r * (np.cos(x * pi / 2) ** COS_CURVE *
np.sin(x * pi / 2)) +
r * (x + 1)
) *
(
- np.sin(x * pi) + DAMP
) + t
for t in np.linspace(-0.01, 0.01, int(NOTE_THICKNESS * 2.5))
]
) for r, o in zip(rands[3], offsets3[1:-1])],
*[SvOsuMeasureLineEvent(
firstOffset=o, lastOffset=o + 1000,
startX=0, endX=1,
startY=1, endY=-1,
funcs=[
lambda x, r=r, exp=exp: r * DAMP + exp * np.sin(x * pi) ** SIN_CURVE
for exp in np.linspace(-EXPLOSION_RANGE, EXPLOSION_RANGE, EXPLOSION_LINES)
]
) for r, o in zip(rands[3], offsets3[1:-1])],
# [4]------------------
SvOsuMeasureLineEvent(
firstOffset=offsets3[-3], lastOffset=offsets3[-1],
startX=-1, endX=1,
startY=-1, endY=1,
funcs=[
lambda x, n=n:
n * np.cos(x * pi / 2) ** 0.45
for n in np.linspace(0, 0.8, 50)
]
),
*[SvOsuMeasureLineEvent(
firstOffset=offsets4[0], lastOffset=o,
startX=-1, endX=0,
startY=-1, endY=1,
funcs=[
lambda x, r=r, t=t:
(
r * (np.cos(x * pi / 2) ** COS_CURVE *
np.sin(x * pi / 2)) +
r * (x + 1)
) *
(
- np.sin(x * pi) + DAMP
) + t
for t in np.linspace(-0.01, 0.01, int(NOTE_THICKNESS * 2.5))
]
) for r, o in zip(rands[4], offsets4[1:-1])],
*[SvOsuMeasureLineEvent(
firstOffset=o, lastOffset=o + 1000,
startX=0, endX=1,
startY=-1, endY=1,
funcs=[
lambda x, r=r, exp=exp: r * DAMP + exp * np.sin(x * pi) ** SIN_CURVE
for exp in np.linspace(-EXPLOSION_RANGE, EXPLOSION_RANGE, EXPLOSION_LINES)
]
) for r, o in zip(rands[4], offsets4[1:-1])],
# [5]------------------
SvOsuMeasureLineEvent(
firstOffset=offsets4[-3], lastOffset=offsets4[-1],
startX=-1, endX=1,
startY=1, endY=-1,
funcs=[
lambda x, n=n:
n * np.cos(x * pi / 2) ** 0.45
for n in np.linspace(0, 0.8, 50)
]
),
*[SvOsuMeasureLineEvent(
firstOffset=offsets5[0], lastOffset=o,
startX=-1, endX=0,
startY=1, endY=-1,
funcs=[
lambda x, r=r, t=t:
(
r * (np.cos(x * pi / 2) ** COS_CURVE *
np.sin(x * pi / 2)) +
r * (x + 1)
) *
(
- np.sin(x * pi) + DAMP
) + t
for t in np.linspace(-0.01, 0.01, int(NOTE_THICKNESS * 2.5))
]
) for r, o in zip(rands[5], offsets5[1:-1])],
*[SvOsuMeasureLineEvent(
firstOffset=o, lastOffset=o + 1000,
startX=0, endX=1,
startY=1, endY=-1,
funcs=[
lambda x, r=r, exp=exp: r * DAMP + exp * np.sin(x * pi) ** SIN_CURVE
for exp in np.linspace(-EXPLOSION_RANGE, EXPLOSION_RANGE, EXPLOSION_LINES)
]
) for r, o in zip(rands[5], offsets5[1:-1])],
# [PIANO] ----------
*[SvOsuMeasureLineEvent(
firstOffset=o, lastOffset=o + 500,
startX=0, endX=1,
startY=-1, endY=1,
funcs=[
*[lambda x, r=r, exp=exp: + r + exp * np.sin(x * pi) ** SIN_CURVE
for exp in np.linspace(-EXPLOSION_RANGE / 7, EXPLOSION_RANGE / 7, EXPLOSION_LINES // 2)],
*[lambda x, r=r, exp=exp: - r + exp * np.sin(x * pi) ** SIN_CURVE
for exp in np.linspace(-EXPLOSION_RANGE / 7, EXPLOSION_RANGE / 7, EXPLOSION_LINES // 2)]
]
) for r, o in zip(pianoRands, piano)]
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=offsets0[0],
lastOffset=offsets5[-1],
paddingSize=PADDING,
endBpm=250,
metronome=999)
m.svs.extend(svs)
m.bpms.extend(bpms)
m.bpms.append(OsuBpm(offset=314004, bpm=250, metronome=1))
def f247(m: OsuMap):
CURR_POS = [1]
CURR_SCALE = [1]
notes = [n for n in m.notes.hits() if 97742 < n.offset <= 125993]
events = [
STILL(START, MOVE_0[0], CURR_POS, CURR_SCALE),
*NOTES([n for n in notes if START <= n.offset < MOVE_0[0]], 0,
CURR_POS, CURR_SCALE),
*[
SWAP(m0, m1, CURR_POS, CURR_SCALE)
for m0, m1 in zip(MOVE_0[:-1], MOVE_0[1:])
],
STILL(MOVE_0[-1], MOVE_1[0], CURR_POS, CURR_SCALE),
*NOTES([n for n in notes if MOVE_0[-1] <= n.offset < MOVE_1[0]],
MOVE_0[-1], CURR_POS, CURR_SCALE),
*[
SWAP(m0, m1, CURR_POS, CURR_SCALE)
for m0, m1 in zip(MOVE_1[:-1], MOVE_1[1:])
],
STILL(MOVE_1[-1], MOVE_2[0], CURR_POS, CURR_SCALE),
*NOTES([n for n in notes if MOVE_1[-1] <= n.offset < MOVE_2[0]],
MOVE_1[-1], CURR_POS, CURR_SCALE),
*[
SWAP(m0, m1, CURR_POS, CURR_SCALE)
for m0, m1 in zip(MOVE_2[:-1], MOVE_2[1:])
],
STILL(MOVE_2[-1], MOVE_3[0], CURR_POS, CURR_SCALE),
*NOTES([n for n in notes if MOVE_2[-1] <= n.offset < MOVE_3[0]],
MOVE_2[-1], CURR_POS, CURR_SCALE),
*[
SWAP(m0, m1, CURR_POS, CURR_SCALE)
for m0, m1 in zip(MOVE_3[:-1], MOVE_3[1:])
],
STILL(MOVE_3[-1], MOVE_4[0], CURR_POS, CURR_SCALE),
*NOTES([n for n in notes if MOVE_3[-1] <= n.offset < MOVE_4[0]],
MOVE_3[-1], CURR_POS, CURR_SCALE),
*[
SWAP(m0, m1, CURR_POS, CURR_SCALE)
for m0, m1 in zip(MOVE_4[:-1], MOVE_4[1:])
],
STILL(MOVE_4[-1], MOVE_5[0], CURR_POS, CURR_SCALE),
*NOTES([n for n in notes if MOVE_4[-1] <= n.offset < MOVE_5[0]],
MOVE_4[-1], CURR_POS, CURR_SCALE),
*[
SWAP(m0, m1, CURR_POS, CURR_SCALE)
for m0, m1 in zip(MOVE_5[:-1], MOVE_5[1:])
],
STILL(MOVE_5[-1], MOVE_6[0], CURR_POS, CURR_SCALE),
*NOTES([n for n in notes if MOVE_5[-1] <= n.offset < MOVE_6[0]],
MOVE_5[-1], CURR_POS, CURR_SCALE),
*[
SWAP(m0, m1, CURR_POS, CURR_SCALE)
for m0, m1 in zip(MOVE_6[:-1], MOVE_6[1:])
],
STILL(MOVE_6[-1], MOVE_7[0], CURR_POS, CURR_SCALE),
*NOTES([n for n in notes if MOVE_6[-1] <= n.offset < MOVE_7[0]],
MOVE_6[-1], CURR_POS, CURR_SCALE),
*[
SWAP(m0, m1, CURR_POS, CURR_SCALE)
for m0, m1 in zip(MOVE_7[:-1], MOVE_7[1:])
],
*[
SWAP(m0, m1, CURR_POS, CURR_SCALE)
for m0, m1 in zip(MOVE_8[:-1], MOVE_8[1:])
],
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=97742,
lastOffset=MOVE_8[-1],
paddingSize=PADDING,
endBpm=250)
m.svs.extend(svs)
m.bpms.extend(bpms)
def f510(m: OsuMap):
events = [
SvOsuMeasureLineEvent(
firstOffset=201582, lastOffset=202342,
startX=0, endX=1,
startY=-1, endY=1,
funcs=[
lambda x, r=r:
(SHAKE_AMP * np.sin(SHAKES * x * pi) + r) / (x + 1)
* np.cos(x * pi / 2) ** COS_CURVE
for r in np.linspace(-1, 1, RAND_SIZE)
]
),
# 03:22:342 (202342|2,202382|2,202422|2,202542|2) -
SvOsuMeasureLineEvent(
firstOffset=202342, lastOffset=202382,
startX=0, endX=1,
startY=-1, endY=1,
funcs=[
lambda x, r=r:
r * np.sin(x * pi / 2) ** 0.5
for r in np.linspace(-1, 1, 4)
]
),
SvOsuMeasureLineEvent(
firstOffset=202382, lastOffset=202422,
startX=0, endX=1,
startY=-1, endY=1,
funcs=[
lambda x, r=r:
-x * r
for r in np.linspace(0, 1, RAND_SIZE)
]
),
SvOsuMeasureLineEvent(
firstOffset=202422, lastOffset=202542,
startX=0, endX=1,
startY=-1, endY=1,
funcs=[
lambda x, r=r:
-x * r
for r in np.linspace(0, 1, RAND_SIZE)
]
),
SvOsuMeasureLineEvent(
firstOffset=202542, lastOffset=202782,
startX=0, endX=1,
startY=-3, endY=3,
funcs=[
lambda x: 1 - x,
lambda x: x - 1
]
),
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=201582,
lastOffset=202542,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(svs)
m.bpms.extend(bpms)
def f430(m: OsuMap):
# noinspection PyTypeChecker
events = [
*[
SvOsuMeasureLineEvent(
firstOffset=d,
lastOffset=172302 - RETRACT_DURATION,
startX=-10,
endX=0,
startY=-1,
endY=1,
funcs=[
lambda x, a=a, c=c, i=i: i + a *
(-1 / (x + 3 * c) + 1 / c + 1) *
(-1 / (x + 11) + 1), lambda x, a=a, c=c, i=i: i + -a *
(-1 / (x + 3 * c) + 1 / c + 1) * (-1 / (x + 11) + 1)
]) for a, c, d in zip(
amps, curves,
np.random.randint(169902, 172302 - 1250, len(BEATS)))
for i in randAdd
], *[
SvOsuMeasureLineEvent(
firstOffset=172302 - RETRACT_DURATION,
lastOffset=b - RETRACT_DURATION,
startX=0,
endX=0,
startY=-1,
endY=1,
funcs=[
lambda x, a=a, c=c, i=i: i + a *
(-1 / (x + 3 * c) + 1 / c + 1) *
(-1 / (x + 11) + 1), lambda x, a=a, c=c, i=i: i + -a *
(-1 / (x + 3 * c) + 1 / c + 1) * (-1 / (x + 11) + 1)
]) for a, c, b in zip(amps, curves, BEATS) for i in randAdd
], *[
SvOsuMeasureLineEvent(
firstOffset=b - RETRACT_DURATION,
lastOffset=b,
startX=0,
endX=-10,
startY=-1,
endY=1,
funcs=[
lambda x, a=a, c=c, i=i: i + a *
(-1 / (x + 3 * c) + 1 / c + 1) *
(-1 / (x + 11) + 1), lambda x, a=a, c=c, i=i: i + -a *
(-1 / (x + 3 * c) + 1 / c + 1) * (-1 / (x + 11) + 1)
]) for a, c, b in zip(amps, curves, BEATS) for i in randAdd
]
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=169902,
lastOffset=174802,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(svs)
m.bpms.extend(bpms)
def f072(m: OsuMap):
events = [
SvOsuMeasureLineEvent(firstOffset=28537,
lastOffset=28777,
startX=0.001,
endX=4,
startY=0,
endY=4,
funcs=[lambda x: np.sqrt(x)]),
*[
SvOsuMeasureLineEvent(firstOffset=28777,
lastOffset=29017,
startX=0,
endX=1,
startY=0,
endY=1,
funcs=[lambda x, i=i: i + x / 100])
for i in np.linspace(0, 1, 50)
],
*[
SvOsuMeasureLineEvent(firstOffset=29017,
lastOffset=29257,
startX=0,
endX=1,
startY=-5,
endY=5,
funcs=[lambda x, i=i: 1 / (x + 1)])
for i in np.linspace(0, 1, 15)
],
*[
SvOsuMeasureLineEvent(firstOffset=29017,
lastOffset=29257,
startX=0,
endX=1,
startY=-5,
endY=5,
funcs=[lambda x, i=i: -1 / (x + 1)])
for i in np.linspace(0, 1, 15)
],
*[
SvOsuMeasureLineEvent(firstOffset=29257 + i * SHUTTER_WAIT,
lastOffset=31177 -
(1 - i) * SHUTTER_WAIT * 8,
startX=0,
endX=1,
startY=0,
endY=4,
funcs=[lambda x, i=i: 1 - i])
for i in np.linspace(0, 1, 15)
],
*[
SvOsuMeasureLineEvent(firstOffset=29497 + i * SHUTTER_WAIT,
lastOffset=31177 -
(1 - i) * SHUTTER_WAIT * 6,
startX=0,
endX=1,
startY=0,
endY=4,
funcs=[lambda x, i=i: 1 - i + 1])
for i in np.linspace(0, 1, 15)
],
*[
SvOsuMeasureLineEvent(firstOffset=29737 + i * SHUTTER_WAIT,
lastOffset=31177 -
(1 - i) * SHUTTER_WAIT * 4,
startX=0,
endX=1,
startY=0,
endY=4,
funcs=[lambda x, i=i: 1 - i + 2])
for i in np.linspace(0, 1, 15)
],
*[
SvOsuMeasureLineEvent(firstOffset=29977 + i * SHUTTER_WAIT,
lastOffset=31177 -
(1 - i) * SHUTTER_WAIT * 2,
startX=0,
endX=1,
startY=0,
endY=4,
funcs=[lambda x, i=i: 1 - i + 3])
for i in np.linspace(0, 1, 15)
],
# 00:31:177 (31177|0,31417|1,31657|2,31897|3,32137|3) -
*[
SvOsuMeasureLineEvent(firstOffset=31177 + i * SHUTTER_WAIT,
lastOffset=32857 -
(1 - i) * SHUTTER_WAIT * 4,
startX=0,
endX=1,
startY=0,
endY=4,
funcs=[lambda x, i=i: 1 - i])
for i in np.linspace(0, 1, 15)
],
*[
SvOsuMeasureLineEvent(firstOffset=31417 + i * SHUTTER_WAIT * 2,
lastOffset=32857 -
(1 - i) * SHUTTER_WAIT * 3,
startX=0,
endX=1,
startY=0,
endY=4,
funcs=[lambda x, i=i: 1 - i + 1])
for i in np.linspace(0, 1, 20)
],
*[
SvOsuMeasureLineEvent(firstOffset=31657 + i * SHUTTER_WAIT * 3,
lastOffset=32857 -
(1 - i) * SHUTTER_WAIT * 2,
startX=0,
endX=1,
startY=0,
endY=4,
funcs=[lambda x, i=i: 1 - i + 2])
for i in np.linspace(0, 1, 35)
],
*[
SvOsuMeasureLineEvent(firstOffset=31897 + i * (32857 - 31897),
lastOffset=32857 -
(1 - i) * SHUTTER_WAIT * 2,
startX=0,
endX=1,
startY=0,
endY=4,
funcs=[lambda x, i=i: 1 - i + 3])
for i in np.linspace(0, 1, 50)
]
]
svs, bpms = svOsuMeasureLineMD(events,
scalingFactor=SCALE,
firstOffset=28537,
lastOffset=33097,
paddingSize=PADDING,
endBpm=250)
m.svs.extend(svs)
m.bpms.extend(bpms)
