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Last active January 9, 2018 10:25
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774965.osu
osu file format v14
[General]
AudioFilename: control.mp3
AudioLeadIn: 1000
PreviewTime: 85495
Countdown: 0
SampleSet: Normal
StackLeniency: 0.8
Mode: 0
LetterboxInBreaks: 0
WidescreenStoryboard: 0
[Editor]
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DistanceSpacing: 1.2
BeatDivisor: 4
GridSize: 8
TimelineZoom: 3.499999
[Metadata]
Title:Remote Control
TitleUnicode:リモコン
Artist:kradness&Reol
ArtistUnicode:kradness＆れをる
Creator:Taeyang
Version:Max Control!
Source:
Tags:Jesus-P じーざすP Giga Official Rimokon Wonderful*Opportunity Kagamine Rin Len Glider
BeatmapID:774965
BeatmapSetID:351630
[Difficulty]
HPDrainRate:6.5
CircleSize:4
OverallDifficulty:9
ApproachRate:9.2
SliderMultiplier:1.72
SliderTickRate:1
[Events]
//Background and Video events
0,0,"reol.jpg",0,0
//Break Periods
2,184604,189653
//Storyboard Layer 0 (Background)
//Storyboard Layer 1 (Fail)
//Storyboard Layer 2 (Pass)
//Storyboard Layer 3 (Foreground)
//Storyboard Sound Samples
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299,135,287313,2,0,B|304:207|295:243|295:243|326:228,1,137.6,8|0,0:0|0:0,0:0:0:0:
442,160,287677,5,6,0:0:0:0:
216,122,287859,1,0,0:0:0:0:
216,122,287950,1,0,0:0:0:0:
216,122,288041,2,0,P|214:217|222:291,1,137.6,8|0,0:0|0:0,0:0:0:0:
383,277,288404,1,2,0:0:0:0:
417,51,288586,1,0,0:0:0:0:
417,51,288677,1,0,0:0:0:0:
417,51,288768,2,0,P|333:39|266:55,1,137.6,8|0,0:0|0:0,0:0:0:0:
72,89,289132,6,0,L|82:240,1,137.6,2|0,0:0|0:0,0:0:0:0:
430,226,289495,2,0,L|440:89,1,137.6,8|0,0:0|0:0,0:0:0:0:
190,279,289859,2,0,P|256:295|322:279,1,137.6,2|0,0:0|0:0,0:0:0:0:
322,61,290223,1,8,0:0:0:0:
289,49,290313,1,0,0:0:0:0:
255,45,290404,1,0,0:0:0:0:
221,49,290495,1,0,0:0:0:0:
189,60,290586,6,0,L|180:198,1,137.6,2|0,0:0|0:0,0:0:0:0:
351,151,290950,1,8,0:0:0:0:
354,186,291040,1,0,0:0:0:0:
356,220,291131,1,0,0:0:0:0:
358,254,291222,1,0,0:0:0:0:
361,289,291313,2,0,P|292:307|221:308,1,137.6,2|0,0:0|0:0,0:0:0:0:
45,178,291677,1,8,0:0:0:0:
79,176,291767,1,0,0:0:0:0:
113,179,291858,1,0,0:0:0:0:
147,186,291949,1,0,0:0:0:0:
179,197,292041,6,0,P|226:226|318:215,1,137.6,2|0,0:0|0:0,0:0:0:0:
351,151,292313,1,0,0:0:0:0:
351,151,292404,2,0,P|350:112|361:72,2,68.8,8|0|0,0:0|0:0|0:0,0:0:0:0:
369,336,292768,2,0,P|301:322|212:323,1,137.6,2|0,0:0|0:0,0:0:0:0:
151,337,293041,1,0,0:0:0:0:
151,337,293132,2,0,P|112:338|72:327,2,68.8,8|0|0,0:0|0:0|0:0,0:0:0:0:
383,223,293495,6,0,P|401:288|382:354,1,137.6,2|0,0:0|0:0,0:0:0:0:
230,250,293859,1,8,0:0:0:0:
216,219,293950,1,0,0:0:0:0:
211,185,294041,1,0,0:0:0:0:
215,151,294132,1,0,0:0:0:0:
229,120,294223,1,2,0:0:0:0:
434,156,294404,1,0,0:0:0:0:
369,336,294586,2,0,P|261:342|205:335,1,137.6,8|0,0:0|0:0,0:0:0:0:
73,183,294950,6,0,P|67:75|81:20,1,137.6,2|0,0:0|0:0,0:0:0:0:
439,46,295313,2,0,P|447:114|439:183,1,137.6,8|0,0:0|0:0,0:0:0:0:
256,352,295677,2,0,L|256:200,1,137.6,2|0,0:0|0:0,0:0:0:0:
93,84,296041,1,8,0:0:0:0:
90,119,296132,1,0,0:0:0:0:
90,153,296223,1,0,0:0:0:0:
96,187,296314,1,0,0:0:0:0:
105,221,296404,6,0,P|176:232|256:232,1,137.6,2|0,0:0|0:0,0:0:0:0:
464,208,296768,1,8,0:0:0:0:
294,129,296950,1,0,0:0:0:0:
396,321,297132,1,2,0:0:0:0:
425,95,297313,2,0,P|357:102|294:129,1,137.6,0|8,0:0|0:0,0:0:0:0:
105,221,297677,1,0,0:0:0:0:
417,331,297859,5,2,0:0:0:0:
82,211,298041,1,2,0:0:0:0:
405,105,298223,5,8,0:0:0:0:
59,201,298404,1,2,0:0:0:0:
308,356,298586,5,8,0:0:0:0:
322,53,298768,1,2,0:0:0:0:
111,297,298950,5,2,0:0:0:0:
426,242,299132,1,8,0:0:0:0:
103,148,299313,5,2,0:0:0:0:
212,344,299495,1,8,0:0:0:0:
298,40,299677,1,2,0:0:0:0:
407,234,299859,1,2,0:0:0:0:
16,117,300041,5,10,0:0:0:0:
494,265,300404,1,10,0:0:0:0:
256,192,300768,5,14,0:0:0:0:
256,192,300859,12,4,308404,0:0:0:0:
Raw
pyttanko.py
#!/usr/bin/env python
'''
osu! pp and difficulty calculator.
pure python implementation of oppai-ng
this is meant to be used as a completely standalone python module,
more portable and easier to use than bindings.
this is over 10 times slower than the C version, so if you need to
calculate hundreds or thousands of scores you should consider
using the C version or making python bindings for it.
for comparison, the C version runs through the test suite (~12k
unique scores) in ~9-10 seconds on my i7-4790k while pyttanko takes
100+ seconds
if you want a command line interface, check out
https://github.com/Francesco149/oppai-ng
-------------------------------------------------------------------
usage:
put pyttanko.py in your project's folder and import pyttanko
for example usage, check out the __main__ at the bottom of the file
you can run it like:
cat /path/to/map.osu | ./pyttanko.py +HDDT 200x 1m 95%
also, check out "pydoc pyttanko" for full documentation
-------------------------------------------------------------------
this is free and unencumbered software released into the public
domain. check the attached UNLICENSE or http://unlicense.org/
'''
__author__ = "Franc[e]sco <lolisamurai@tfwno.gf>"
__version__ = "1.0.19"
import sys
import math
if sys.version_info[0] < 3:
# hack to force utf-8
reload(sys)
sys.setdefaultencoding("utf-8")
info = sys.stderr.write
class v2f:
'''2D vector with float values'''
def __init__(self, x=0.0, y=0.0):
self.x = x
self.y = y
def __sub__(self, other):
return v2f(self.x - other.x, self.y - other.y)
def __mul__(self, other):
return v2f(self.x * other, self.y * other)
def len(self):
return math.sqrt(self.x * self.x + self.y * self.y)
def __str__(self):
return str(self.__dict__)
def __repr__(self):
return str(self)
''' ----------------------------------------------------------- '''
''' beatmap utils '''
MODE_STD = 0
class circle:
def __init__(self, pos=None):
'''initializes a circle object.
if pos is None, it will be set to v2f()'''
if pos == None:
pos = v2f()
self.pos = pos
def __str__(self):
return str(self.__dict__)
def __repr__(self):
return str(self)
class slider:
def __init__(self, pos=None, distance=0.0, repetitions=0):
'''initializes a slider object.
distance: distance travelled by one repetition (float)
pos: instance of v2f. if None, it will be set to v2f()'''
if pos == None:
pos = v2f()
self.pos = pos
self.distance = distance
self.repetitions = repetitions
def __str__(self):
return str(self.__dict__)
def __repr__(self):
return str(self)
OBJ_CIRCLE = 1<<0
OBJ_SLIDER = 1<<1
OBJ_SPINNER = 1<<3
class hitobject:
def __init__(self, time=0.0, objtype=OBJ_CIRCLE, data=None):
'''initializes a new hitobject.
time: start time in milliseconds (float)
data: an instance of circle, slider or None'''
self.time = time
self.objtype = objtype
self.data = data
self.normpos = v2f()
self.strains = [ 0.0, 0.0 ]
self.is_single = False
def typestr(self):
res = ""
if self.objtype & OBJ_CIRCLE != 0:
res += "circle | "
if self.objtype & OBJ_SLIDER != 0:
res += "slider | "
if self.objtype & OBJ_SPINNER != 0:
res += "spinner | "
return res[0:-3]
def __str__(self):
return (
'''hitobject(time=%g, objtype=%s, data=%s,
normpos=%s, strains=%s, is_single=%s)''' % (
self.time, self.typestr(), str(self.data),
str(self.normpos), str(self.strains),
str(self.is_single)
)
)
def __repr__(self):
return str(self)
class timing:
def __init__(self, time=0.0, ms_per_beat=-100.0, change=False):
'''initializes a timing point
time: start time in milliseconds (float)
ms_per_beat: float
change: if False, ms_per_beat is -100.0 * bpm_multiplier'''
self.time = time
self.ms_per_beat = ms_per_beat
self.change = change
def __str__(self):
return str(self.__dict__)
def __repr__(self):
return str(self)
class beatmap:
'''the bare minimum amount of data about a beatmap to perform
difficulty and pp calculation
fields:
mode: gamemode, see MODE_* constants (integer)
title title_unicode artist artist_unicode
creator: mapper name
version: difficulty name
ncircles, nsliders, nspinners
hp cs od ar (float)
sv tick_rate (float)
hitobjects: list (hitobject)
timing_points: list (timing)'''
def __init__(self):
# i tried pre-allocating hitobjects and timing_points
# as well as object data.
# it didn't show any appreciable performance improvement
self.format_version = 1
self.hitobjects = []
self.timing_points = []
'''these are assumed to be ordered by time low to high'''
self.reset()
def reset(self):
'''resets fields to prepare the object to store a new
beatmap. used internally by the parser'''
self.mode = MODE_STD
self.title = ""
self.title_unicode = ""
self.artist = ""
self.artist_unicode = ""
self.creator = ""
self.version = ""
self.ncircles = self.nsliders = self.nspinners = 0
self.hp = self.cs = self.od = 5
self.ar = None
self.sv = self.tick_rate = 1.0
self.hitobjects[:] = []
self.timing_points[:] = []
def __str__(self):
s = self
return '''beatmap(
title="%s", title_unicode="%s"
artist="%s", artist_unicode="%s",
creator="%s", version="%s",
hitobjects=[ %s ],
timing_points=[ %s ],
ncircles=%d, nsliders=%d, nspinners=%d,
hp=%g, cs=%g, od=%g, ar=%g,
sv=%g, tick_rate=%g\n)''' % (
s.title, s.title_unicode, s.artist, s.artist_unicode,
s.creator, s.version,
",\n ".join([str(x) for x in s.hitobjects]),
",\n ".join([str(x) for x in s.timing_points]),
s.ncircles, s.nsliders, s.nspinners, s.hp, s.cs, s.od,
s.ar, s.sv, s.tick_rate
)
def __repr__(self):
return str(self)
def max_combo(self):
res = 0
points = self.timing_points
tindex = -1
tnext = -float("inf")
px_per_beat = None
for obj in self.hitobjects:
if obj.objtype & OBJ_SLIDER == 0:
res += 1
continue
# keep track of the current timing point without
# looping through all of the timing points for every
# object
while tnext != None and obj.time >= tnext:
tindex += 1
if len(points) > tindex + 1:
tnext = points[tindex + 1].time
else:
tnext = None
t = points[tindex]
sv_multiplier = 1.0
if not t.change and t.ms_per_beat < 0:
sv_multiplier = (-100.0 / t.ms_per_beat)
px_per_beat = self.sv * 100.0 * sv_multiplier
if self.format_version < 8:
px_per_beat /= sv_multiplier
# slider ticks
sl = obj.data
num_beats = (
(sl.distance * sl.repetitions) / px_per_beat
)
ticks = int(
math.ceil(
(num_beats - 0.1) /
sl.repetitions * self.tick_rate
)
)
ticks -= 1
ticks *= sl.repetitions
ticks += sl.repetitions + 1
res += max(0, ticks)
return res
''' ----------------------------------------------------------- '''
''' beatmap parser '''
class parser:
'''beatmap parser.
fields:
lastline lastpos: last line and token touched (strings)
nline: last line number touched
done: True if the parsing completed successfully'''
def __init__(self):
self.lastline = ""
self.lastpos = ""
self.nline = 0
self.done = False
def __str__(self):
'''formats parser status if the parsing failed'''
if self.done:
return "parsing successful"
return (
"in line %d\n%s\n> %s\n" % (
self.nline, self.lastline, self.lastpos
)
)
def __repr__(self):
return str(self)
def setlastpos(self, v):
# sets lastpos to v and returns v
# should be used to access any string that can make the
# parser fail
self.lastpos = v
return v
def property(self, line):
# parses PropertyName:Value into a tuple
s = line.split(":")
if len(s) < 2:
raise SyntaxError(
"property must be a pair of ':'-separated values"
)
return (s[0], "".join(s[1:]))
def metadata(self, b, line):
p = self.property(line)
if p[0] == "Title":
b.title = p[1]
elif p[0] == "TitleUnicode":
b.title_unicode = p[1]
elif p[0] == "Artist":
b.artist = p[1]
elif p[0] == "ArtistUnicode":
b.artist_unicode = p[1]
elif p[0] == "Creator":
b.creator = p[1]
elif p[0] == "Version":
b.version = p[1]
def general(self, b, line):
p = self.property(line)
if p[0] == "Mode":
b.mode = int(self.setlastpos(p[1]))
def difficulty(self, b, line):
p = self.property(line)
if p[0] == "CircleSize":
b.cs = float(self.setlastpos(p[1]))
elif p[0] == "OverallDifficulty":
b.od = float(self.setlastpos(p[1]))
elif p[0] == "ApproachRate":
b.ar = float(self.setlastpos(p[1]))
elif p[0] == "HPDrainRate":
b.hp = float(self.setlastpos(p[1]))
elif p[0] == "SliderMultiplier":
b.sv = float(self.setlastpos(p[1]))
elif p[0] == "SliderTickRate":
b.tick_rate = float(self.setlastpos(p[1]))
def timing(self, b, line):
s = line.split(",")
if len(s) > 8:
info("W: timing point with trailing values\n")
elif len(s) < 2:
raise SyntaxError(
"timing point must have at least two fields"
)
t = timing(
time=float(self.setlastpos(s[0])),
ms_per_beat=float(self.setlastpos(s[1]))
)
if len(s) >= 7:
t.change = int(s[6]) != 0
b.timing_points.append(t)
def objects_std(self, b, line):
s = line.split(",")
if len(s) > 11:
info("W: object with trailing values\n")
if len(s) < 5:
raise SyntaxError(
"hitobject must have at least 5 fields"
)
# I already tried calling the constructor with all of the
# values on the fly and it wasn't any faster, don't bother
obj = hitobject()
obj.time = float(self.setlastpos(s[2]))
obj.objtype = int(self.setlastpos(s[3]))
if obj.objtype < 0 or obj.objtype > 255:
raise SyntaxError("invalid hitobject type")
# x,y,...
if obj.objtype & OBJ_CIRCLE != 0:
b.ncircles += 1
c = circle()
c.pos.x = float(self.setlastpos(s[0]))
c.pos.y = float(self.setlastpos(s[1]))
obj.data = c
# ?,?,?,?,?,end_time,custom_sample_banks
elif obj.objtype & OBJ_SPINNER != 0:
b.nspinners += 1
# x,y,time,type,sound_type,points,repetitions,distance,
# per_node_sounds,per_node_samples,custom_sample_banks
elif obj.objtype & OBJ_SLIDER != 0:
if len(s) < 7:
raise SyntaxError(
"slider must have at least 7 fields"
)
b.nsliders += 1
sli = slider()
sli.pos.x = float(self.setlastpos(s[0]))
sli.pos.y = float(self.setlastpos(s[1]))
sli.repetitions = int(self.setlastpos(s[6]))
sli.distance = float(self.setlastpos(s[7]))
obj.data = sli
b.hitobjects.append(obj)
def objects(self, b, line):
if b.mode == MODE_STD:
self.objects_std(b, line)
# TODO: other modes
else:
raise NotImplementedError
def map(self, osu_file, bmap = None):
'''reads a file object and parses it into a beatmap object
which is then returned.
if bmap is specified, it will be reused as a pre-allocated
beatmap object instead of building a new one, speeding
up parsing slightly because of less allocations'''
f = osu_file
self.done = False
section = ""
b = bmap
if b == None:
b = beatmap()
else:
b.reset()
for line in osu_file:
self.nline += 1
self.lastline = line
# comments (according to lazer)
if line.startswith(" ") or line.startswith("_"):
continue
line = line.strip()
if line == "":
continue
# c++ style comments
if line.startswith("//"):
continue
# [SectionName]
if line.startswith("["):
section = line[1:-1]
continue
if section == "Metadata":
self.metadata(b, line)
elif section == "General":
self.general(b, line)
elif section == "Difficulty":
self.difficulty(b, line)
elif section == "TimingPoints":
self.timing(b, line)
elif section == "HitObjects":
self.objects(b, line)
else:
OSU_MAGIC = "file format v"
findres = line.strip().find(OSU_MAGIC)
if findres > 0:
b.format_version = int(
line[findres+len(OSU_MAGIC):]
)
if b.ar is None:
b.ar = b.od
self.done = True
return b
''' ----------------------------------------------------------- '''
''' mods utils '''
MODS_NOMOD = 0
MODS_NF = 1<<0
MODS_EZ = 1<<1
MODS_TOUCH_DEVICE = 1<<2
MODS_HD = 1<<3
MODS_HR = 1<<4
MODS_DT = 1<<6
MODS_HT = 1<<8
MODS_NC = 1<<9
MODS_FL = 1<<10
MODS_SO = 1<<12
def mods_str(mods):
'''gets string representation of mods, such as HDDT.
returns "nomod" for nomod'''
if mods == 0:
return "nomod"
res = ""
if mods & MODS_HD != 0: res += "HD"
if mods & MODS_HT != 0: res += "HT"
if mods & MODS_HR != 0: res += "HR"
if mods & MODS_EZ != 0: res += "EZ"
if mods & MODS_TOUCH_DEVICE != 0: res += "TD"
if mods & MODS_NC != 0: res += "NC"
elif mods & MODS_DT != 0: res += "DT"
if mods & MODS_FL != 0: res += "FL"
if mods & MODS_SO != 0: res += "SO"
if mods & MODS_NF != 0: res += "NF"
return res
def mods_from_str(string):
'''get mods bitmask from their string representation
(touch device is TD)'''
res = 0
while string != "":
if string.startswith("HD"): res |= MODS_HD
elif string.startswith("HT"): res |= MODS_HT
elif string.startswith("HR"): res |= MODS_HR
elif string.startswith("EZ"): res |= MODS_EZ
elif string.startswith("TD"): res |= MODS_TOUCH_DEVICE
elif string.startswith("NC"): res |= MODS_NC
elif string.startswith("DT"): res |= MODS_DT
elif string.startswith("FL"): res |= MODS_FL
elif string.startswith("SO"): res |= MODS_SO
elif string.startswith("NF"): res |= MODS_NF
else:
string = string[1:]
continue
string = string[2:]
return res
def mods_apply(mods, ar = None, od = None, cs = None, hp = None):
''' calculates speed multiplier, ar, od, cs, hp with the given
mods applied. returns (speed_mul, ar, od, cs, hp).
the base stats are all optional and default to None. if a base
stat is None, then it won't be calculated and will also be
returned as None.'''
OD0_MS = 79.5
OD10_MS = 19.5
AR0_MS = 1800
AR5_MS = 1200
AR10_MS = 450
OD_MS_STEP = (OD0_MS - OD10_MS) / 10.0
AR_MS_STEP1 = (AR0_MS - AR5_MS) / 5.0
AR_MS_STEP2 = (AR5_MS - AR10_MS) / 5.0
MODS_SPEED_CHANGING = MODS_DT | MODS_HT | MODS_NC
MODS_MAP_CHANGING = MODS_HR | MODS_EZ | MODS_SPEED_CHANGING
if mods & MODS_MAP_CHANGING == 0:
return (1.0, ar, od, cs, hp)
speed_mul = 1.0
if mods & (MODS_DT | MODS_NC) != 0:
speed_mul = 1.5
if mods & MODS_HT != 0:
speed_mul *= 0.75
od_ar_hp_multiplier = 1.0
if mods & MODS_HR != 0:
od_ar_hp_multiplier = 1.4
if mods & MODS_EZ:
od_ar_hp_multiplier *= 0.5
if ar != None:
ar *= od_ar_hp_multiplier
# convert AR into milliseconds
arms = AR5_MS
if ar < 5.0:
arms = AR0_MS - AR_MS_STEP1 * ar
else:
arms = AR5_MS - AR_MS_STEP2 * (ar - 5)
# stats must be capped to 0-10 before HT/DT which brings
# them to a range of -4.42-11.08 for OD and -5-11 for AR
arms = min(AR0_MS, max(AR10_MS, arms))
arms /= speed_mul
# convert back to AR
if arms > AR5_MS:
ar = (AR0_MS - arms) / AR_MS_STEP1
else:
ar = 5.0 + (AR5_MS - arms) / AR_MS_STEP2
if od != None:
od *= od_ar_hp_multiplier
odms = OD0_MS - math.ceil(OD_MS_STEP * od)
odms = min(OD0_MS, max(OD10_MS, odms))
odms /= speed_mul
od = (OD0_MS - odms) / OD_MS_STEP
if cs != None:
if mods & MODS_HR != 0:
cs *= 1.3
if mods & MODS_EZ != 0:
cs *= 0.5
cs = min(10.0, cs)
if hp != None:
hp = min(10.0, hp * od_ar_hp_multiplier)
return (speed_mul, ar, od, cs, hp)
''' ----------------------------------------------------------- '''
''' difficulty calculator '''
DIFF_SPEED = 0
DIFF_AIM = 1
def d_spacing_weight(difftype, distance):
# calculates spacing weight and returns (weight, is_single)
# NOTE: is_single is only computed for DIFF_SPEED
ALMOST_DIAMETER = 90.0 # almost the normalized circle diameter
# arbitrary thresholds to determine when a stream is spaced
# enough that it becomes hard to alternate
STREAM_SPACING = 110.0
SINGLE_SPACING = 125.0
if difftype == DIFF_AIM:
return (pow(distance, 0.99), False)
elif difftype == DIFF_SPEED:
if distance > SINGLE_SPACING:
return (2.5, True)
elif distance > STREAM_SPACING:
return ((
1.6 + 0.9 * (distance - STREAM_SPACING) /
(SINGLE_SPACING - STREAM_SPACING)
), False)
elif distance > ALMOST_DIAMETER:
return ((
1.2 + 0.4 * (distance - ALMOST_DIAMETER) /
(STREAM_SPACING - ALMOST_DIAMETER)
), False)
elif distance > ALMOST_DIAMETER / 2.0:
return ((
0.95 + 0.25 * (distance - ALMOST_DIAMETER / 2.0) /
(ALMOST_DIAMETER / 2.0)
), False)
return (0.95, False)
raise NotImplementedError
DECAY_BASE = [ 0.3, 0.15 ] # strain decay per interval
def d_strain(difftype, obj, prevobj, speed_mul):
# calculates the difftype strain value for a hitobject. stores
# the result in obj.strains[difftype]
# this assumes that normpos is already computed
WEIGHT_SCALING = [ 1400.0, 26.25 ] # balances speed and aim
t = difftype
value = 0.0
time_elapsed = (obj.time - prevobj.time) / speed_mul
decay = pow(DECAY_BASE[t], time_elapsed / 1000.0)
# this implementation doesn't account for sliders
if obj.objtype & (OBJ_SLIDER | OBJ_CIRCLE) != 0:
value, is_single = d_spacing_weight(
t, (obj.normpos - prevobj.normpos).len()
)
value *= WEIGHT_SCALING[t]
if t == DIFF_SPEED:
obj.is_single = is_single
# prevents retarded results for hit object spams
value /= max(time_elapsed, 50.0)
obj.strains[t] = prevobj.strains[t] * decay + value
class diff_calc:
'''difficulty calculator.
fields:
total: star rating
aim: aim stars
speed: speed stars
nsingles: number of notes that are considered singletaps by
the difficulty calculator
nsingles_threshold: number of taps slower or equal to the
singletap threshold value'''
def __init__(self):
self.strains = []
# NOTE: i tried pre-allocating this to 600 elements or so
# and it didn't show appreciable performance improvements
self.reset()
def reset(self):
self.total = self.aim = self.speed = 0.0
self.nsingles = self.nsingles_threshold = 0
def __str__(self):
return '''%g stars (%g aim, %g speed)
%d spacing singletaps
%d taps within singletap threshold''' % (
self.total, self.aim, self.speed, self.nsingles,
self.nsingles_threshold
)
def calc_individual(self, difftype, bmap, speed_mul):
# calculates total strain for difftype. this assumes the
# normalized positions for hitobjects are already present
# max strains are weighted from highest to lowest.
# this is how much the weight decays
DECAY_WEIGHT = 0.9
''' strains are calculated by analyzing the map in chunks
and taking the peak strains in each chunk. this is the
length of a strain interval in milliseconds '''
strain_step = 400.0 * speed_mul
self.strains[:] = []
interval_end = strain_step
max_strain = 0.0
objs = bmap.hitobjects
t = difftype
for i, obj in enumerate(objs[1:]):
prev = objs[i]
d_strain(difftype, obj, prev, speed_mul)
while obj.time > interval_end:
# add max strain for this interval
self.strains.append(max_strain)
# decay last object's strains until the next
# interval and use that as the initial max strain
decay = pow(
DECAY_BASE[t],
(interval_end - prev.time) / 1000.0
)
max_strain = prev.strains[t] * decay
interval_end += strain_step
max_strain = max(max_strain, obj.strains[t])
# weight the top strains sorted from highest to lowest
weight = 1.0
difficulty = 0.0
strains = self.strains
strains.sort(reverse=True)
for strain in strains:
difficulty += strain * weight
weight *= DECAY_WEIGHT
return difficulty
def calc(self, bmap, mods=MODS_NOMOD, singletap_threshold=125):
'''calculates difficulty and stores results in self.total,
self.aim, self.speed, self.nsingles,
self.nsingles_threshold.
returns self.
singletap_threshold is the smallest milliseconds interval
that will be considered singletappable, defaults to 125ms
which is 240 bpm 1/2 ((60000 / 240) / 2)'''
# non-normalized diameter where the small circle size buff
# starts
CIRCLESIZE_BUFF_THRESHOLD = 30.0
STAR_SCALING_FACTOR = 0.0675 # global stars multiplier
# 50% of the difference between aim and speed is added to
# star rating to compensate aim only or speed only maps
EXTREME_SCALING_FACTOR = 0.5
PLAYFIELD_WIDTH = 512.0 # in osu!pixels
playfield_center = v2f(
PLAYFIELD_WIDTH / 2, PLAYFIELD_WIDTH / 2
)
if bmap.mode != MODE_STD:
raise NotImplementedError
self.reset()
# calculate CS with mods
speed_mul, _, _, cs, _ = mods_apply(mods, cs=bmap.cs)
# circle radius
radius = (
(PLAYFIELD_WIDTH / 16.0) *
(1.0 - 0.7 * (cs - 5.0) / 5.0)
)
# positions are normalized on circle radius so that we can
# calc as if everything was the same circlesize
scaling_factor = 52.0 / radius
# low cs buff (credits to osuElements)
if radius < CIRCLESIZE_BUFF_THRESHOLD:
scaling_factor *= (
1.0 +
min(CIRCLESIZE_BUFF_THRESHOLD - radius, 5.0)
/ 50.0
)
playfield_center *= scaling_factor
# calculate normalized positions
objs = bmap.hitobjects
for obj in objs:
if obj.objtype & OBJ_SPINNER != 0:
obj.normpos = v2f(
playfield_center.x, playfield_center.y
)
else:
obj.normpos = obj.data.pos * scaling_factor
# speed and aim stars
b = bmap
self.speed = self.calc_individual(DIFF_SPEED, b, speed_mul)
self.aim = self.calc_individual(DIFF_AIM, b, speed_mul)
self.speed = math.sqrt(self.speed) * STAR_SCALING_FACTOR
self.aim = math.sqrt(self.aim) * STAR_SCALING_FACTOR
if mods & MODS_TOUCH_DEVICE != 0:
self.aim = pow(self.aim, 0.8)
# total stars
self.total = self.aim + self.speed
self.total += (
abs(self.speed - self.aim) *
EXTREME_SCALING_FACTOR
)
# singletap stats
for i, obj in enumerate(objs[1:]):
prev = objs[i]
if obj.is_single:
self.nsingles += 1
if obj.objtype & (OBJ_CIRCLE | OBJ_SLIDER) == 0:
continue
interval = (obj.time - prev.time) / speed_mul
if interval >= singletap_threshold:
self.nsingles_threshold += 1
return self
''' ----------------------------------------------------------- '''
''' pp calculator '''
def acc_calc(n300, n100, n50, misses):
'''calculates accuracy (0.0-1.0)'''
h = n300 + n100 + n50 + misses
if h <= 0:
return 0.0
return (n50 * 50.0 + n100 * 100.0 + n300 * 300.0) / (h * 300.0)
def acc_round(acc_percent, nobjects, misses):
'''rounds to the closest amount of 300s, 100s, 50s
returns (n300, n100, n50)'''
misses = min(nobjects, misses)
max300 = nobjects - misses
maxacc = acc_calc(max300, 0, 0, misses) * 100.0
acc_percent = max(0.0, min(maxacc, acc_percent))
n50 = n300 = 0
# just some black magic maths from wolfram alpha
n100 = round(
-3.0 *
((acc_percent * 0.01 - 1.0) * nobjects + misses) * 0.5
)
n100 = int(n100)
if n100 > nobjects - misses:
# acc lower than all 100s, use 50s
n100 = 0
n50 = round(
-6.0 * (
(acc_percent * 0.01 - 1.0) * nobjects
+ misses
) * 0.5
)
n50 = int(n50)
n50 = min(max300, n50)
else:
n100 = min(max300, n100)
n300 = nobjects - n100 - n50 - misses
return (n300, n100, n50)
def pp_base(stars):
# base pp value for stars, used internally by ppv2
return (
pow(5.0 * max(1.0, stars / 0.0675) - 4.0, 3.0) / 100000.0
)
def ppv2(
aim_stars=None, speed_stars=None, max_combo=None,
nsliders=None, ncircles=None, nobjects=None, base_ar=5.0,
base_od=5.0, mode=MODE_STD, mods=MODS_NOMOD, combo=None,
n300=None, n100=0, n50=0, nmiss=0, score_version=1, bmap=None
):
'''calculates ppv2
returns (pp, aim_pp, speed_pp, acc_pp, acc_percent)
if bmap is provided, mode, base_ar, base_od, max_combo,
nsliders, ncircles and nobjects are taken from it. otherwise
they must be provided.
if combo is None, max_combo is used.
if n300 is None, max_combo - n100 - n50 - nmiss is used.'''
if mode != MODE_STD:
info(
"ppv2 is only implemented for osu!std at the moment\n"
)
raise NotImplementedError
if bmap != None:
mode = bmap.mode
base_ar = bmap.ar
base_od = bmap.od
max_combo = bmap.max_combo()
nsliders = bmap.nsliders
ncircles = bmap.ncircles
nobjects = len(bmap.hitobjects)
else:
if aim_stars == None:
raise ValueError("missing aim_stars or bmap")
if speed_stars == None:
raise ValueError("missing speed_stars")
if max_combo == None:
raise ValueError("missing max_combo or bmap")
if nsliders == None:
raise ValueError("missing nsliders or bmap")
if ncircles == None:
raise ValueError("missing ncircles or bmap")
if nobjects == None:
raise ValueError("missing nobjects or bmap")
if max_combo <= 0:
info("W: max_combo <= 0, changing to 1\n")
max_combo = 1
if combo == None:
combo = max_combo - nmiss
if n300 == None:
n300 = nobjects - n100 - n50 - nmiss
# accuracy ----------------------------------------------------
accuracy = acc_calc(n300, n100, n50, nmiss)
real_acc = accuracy
if score_version == 1:
# scorev1 ignores sliders since they are free 300s
# for whatever reason it also ignores spinners
nspinners = nobjects - nsliders - ncircles
real_acc = acc_calc(
n300 - nsliders - nspinners, n100, n50, nmiss
)
# can go negative if we miss everything
real_acc = max(0.0, real_acc)
elif score_version == 2:
ncircles = nobjects
else:
info("unsupported scorev%d\n" % (score_version))
raise NotImplementedError
# global values -----------------------------------------------
nobjects_over_2k = nobjects / 2000.0
length_bonus = 0.95 + 0.4 * min(1.0, nobjects_over_2k)
if nobjects > 2000:
length_bonus += math.log10(nobjects_over_2k) * 0.5
miss_penality = pow(0.97, nmiss)
combo_break = pow(combo, 0.8) / pow(max_combo, 0.8)
# calculate stats with mods
speed_mul, ar, od, _, _ = (
mods_apply(mods, ar=base_ar, od=base_od)
)
# ar bonus ----------------------------------------------------
ar_bonus = 1.0
if ar > 10.33:
ar_bonus += 0.45 * (ar - 10.33)
elif ar < 8.0:
low_ar_bonus = 0.01 * (8.0 - ar)
if mods & MODS_HD != 0:
low_ar_bonus *= 2.0
ar_bonus += low_ar_bonus
# aim pp ------------------------------------------------------
aim = pp_base(aim_stars)
aim *= length_bonus
aim *= miss_penality
aim *= combo_break
aim *= ar_bonus
if mods & MODS_HD != 0:
aim *= 1.18
if mods & MODS_FL != 0:
aim *= 1.45 * length_bonus
acc_bonus = 0.5 + accuracy / 2.0
od_bonus = 0.98 + (od * od) / 2500.0
aim *= acc_bonus
aim *= od_bonus
# speed pp ----------------------------------------------------
speed = pp_base(speed_stars)
speed *= length_bonus
speed *= miss_penality
speed *= combo_break
speed *= acc_bonus
speed *= od_bonus
# acc pp ------------------------------------------------------
acc = pow(1.52163, od) * pow(real_acc, 24.0) * 2.83
# length bonus (not the same as speed/aim length bonus)
acc *= min(1.15, pow(ncircles / 1000.0, 0.3))
if mods & MODS_HD != 0:
acc *= 1.02
if mods & MODS_FL != 0:
acc *= 1.02
# total pp ----------------------------------------------------
final_multiplier = 1.12
if mods & MODS_NF != 0:
final_multiplier *= 0.90
if mods & MODS_SO != 0:
final_multiplier *= 0.95
total = (
pow(
pow(aim, 1.1) + pow(speed, 1.1) + pow(acc, 1.1),
1.0 / 1.1
) * final_multiplier
)
return (total, aim, speed, acc, accuracy * 100.0)
''' ----------------------------------------------------------- '''
''' usage example '''
hr = MODS_HR
nc = MODS_NC
ht = MODS_HT
so = MODS_SO
nf = MODS_NF
ez = MODS_EZ
nomod = MODS_NOMOD
fl = MODS_FL
dt = MODS_DT
hd = MODS_HD
# id max_combo n300 n100 n50 nmiss mods pp
s = (774965, 1773, 1165, 8, 0, 0, dt | hd, 817.164)
ERROR_MARGIN = 0.02
'''pp can be off by +- 2%
margin is actually 3x for < 100pp, 2x for 100-200,
1.5x for 200-300'''
p = parser()
bmap = beatmap()
stars = diff_calc()
count = 0
with open("%d.osu" % (s[0]), "r") as f:
p.map(f, bmap=bmap)
stars.calc(bmap, s[6])
pp, _, _, _, _ = ppv2(
stars.aim, stars.speed, bmap=bmap, mods=s[6],
n300=s[2], n100=s[3], n50=s[4], nmiss=s[5],
combo=s[1]
)
margin = s[7] * ERROR_MARGIN
if s[7] < 100:
margin *= 3
elif s[7] < 200:
margin *= 2
elif s[7] < 300:
margin *= 1.5
if abs(pp - s[7]) >= margin:
info(
"failed test: got %gpp, expected %g\n" % (
pp, s[7]
)
)
exit(1)
print(pp)
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