def ToDecDeg(self, d=0, m=0, s=0, ustring = False, max=180):
"""
DecDegrees = ToDecDeg(d=0, m=0, s=0)
converts degrees, minutes, seconds to decimal degrees (returned as a Float).
"""
if m < 0 or s < 0:
raise ValueError("Minutes and Seconds have to be positive")
if m > 60.0 or s > 60.0:
raise ValueError("Minutes and Seconds have to be between -180 and 180")
if abs(d) > max:
raise ValueError("Degrees have to be between -180 and 180")
if signbit(d):
Sign = -1
d = abs(d)
else:
Sign = 1
deg_has_fract = bool(math.modf(d)[0])
min_has_fract = bool(math.modf(m)[0])
if deg_has_fract and (m != 0.0 or s != 0.0):
raise ValueError("degrees cannot have fraction unless both minutes"
"and seconds are zero")
if min_has_fract and s != 0.0:
raise ValueError("minutes cannot have fraction unless seconds are zero")
DecDegrees = Sign * (d + m/60.0 + s/3600.0)
if ustring:
return u"%.6f\xb0"%(DecDegrees)
else:
return DecDegrees
def arrival(self):
"""Calculates the estimated arrival time based on current speed - run as thread."""
# Loops until routing is turned off
while self.route_mode == True:
speed = round(self.current_status["speed"], 2)
# Make sure we do not divide by zero
if speed > 0:
time_current = datetime.datetime.now()
# Determine time required for whole route
time_total = self.total_distance / speed
time_total_min, time_total_hour = math.modf(time_total)
time_total_min = round(time_total_min * 60)
# Create a date/time object for ETA
time_total = time_current + datetime.timedelta(hours=time_total_hour, minutes=time_total_min)
self.total_eta = time_total.strftime("%Y-%m-%d %H:%M")
# Determine time required for next point in route
time_point = self.waypoint_calc["distance"] / speed
time_point_min, time_point_hour = math.modf(time_point)
time_point_min = round(time_point_min * 60)
# Add a 0 if minutes are less then 10
if time_point_min < 10:
time_point_min = "0" + str(time_point_min)
# Remove decimal points
self.waypoint_eta["hour"] = int(str(time_point_hour).replace(".0", ""))
self.waypoint_eta["min"] = str(time_point_min).replace(".0", "")
# Do not estimate times if speed is 0
else:
self.total_eta = " --"
self.waypoint_eta["hour"] = "--"
self.waypoint_eta["min"] = "--"
time.sleep(self.sleep_time["arrival"])
def hamilton_allocation(counts, alloc):
"""
Implements the Hamilton Method (Largest remainder method) to calculate
integral ratios. (Like it is used in some elections.)
counts -- list of integers ('votes per party')
alloc -- total amount to be allocated ('total amount of seats')
"""
total_counts = sum(counts)
quotas = [float(count) * alloc / total_counts for count in counts]
fracts = []
for (i, fp) in enumerate(quotas):
fracts.append((math.modf(fp)[0], i))
fracts.sort()
fracts.reverse()
results = [int(math.modf(quota)[1]) for quota in quotas]
remainder = alloc - sum(results)
for i in range(remainder):
results[fracts[i][1]] += 1
return results
def setCoordinate(self, coordinate):
self.coordinate = coordinate
degree_fraction, degrees = math.modf(coordinate)
degrees=int(degrees)
decimal_minutes=abs(degree_fraction*60)
minute_fraction, minutes = math.modf(decimal_minutes)
minutes=int(minutes)
decimal_seconds=minute_fraction*60
decString=(u"{0}".format(coordinate))
dmString=(u"{0}\u00b0 {1}'".format(degrees, decimal_minutes))
dmsString=(u"{0}\u00b0 {1}' {2}''".format(degrees, minutes, decimal_seconds))
print '***********************',coordinate,decString,dmString,dmsString
if self.displayMode=='DEC':
print 'DEC'
self.setText(decString)
elif self.displayMode=='DM':
print 'DM'
self.setText(dmString)
elif self.displayMode=='DMS':
print 'DMS'
self.setText(dmsString)
self.setToolTip(u"DEC: {0}\nDM: {1}\nDMS: {2}".format(decString,dmString,dmsString))
def __init__(self, degrees='none', sexagesimal='none', latitude=False):
if degrees != 'none':
# Find out if the angle is negative
negative = degrees < 0
# Treat angle as positive
degrees = np.abs(degrees)
# Decompose angle into degrees, minutes, seconds
m, d = math.modf(degrees)
s, m = math.modf(m * 60.)
s = s * 60.
# Express degrees and minutes as integers
d, m = int(round(d)), int(round(m))
# Put back minus sign if negative
if negative:
d, m, s = -d, -m, -s
# Set angle to tuple of degrees/minutes/seconds
self.angle = (d, m, s)
elif sexagesimal != 'none':
self.angle = sexagesimal
# Whether to keep the angle between 0 and 360 or -90 and 90
self.latitude = latitude
self.negative = False
self._simplify()
def recalculate_coordinate(val, _as=None):
"""
Accepts a coordinate as a tuple (degree, minutes, seconds)
You can give only one of them (e.g. only minutes as a floating point number) and it will be duly
recalculated into degrees, minutes and seconds.
Return value can be specified as 'deg', 'min' or 'sec'; default return value is a proper coordinate tuple.
"""
deg, min, sec = val
# pass outstanding values from right to left
min = (min or 0) + int(sec) / 60
sec = sec % 60
deg = (deg or 0) + int(min) / 60
min = min % 60
# pass decimal part from left to right
dfrac, dint = math.modf(deg)
min = min + dfrac * 60
deg = dint
mfrac, mint = math.modf(min)
sec = sec + mfrac * 60
min = mint
if _as:
sec = sec + min * 60 + deg * 3600
if _as == 'sec': return sec
if _as == 'min': return sec / 60
if _as == 'deg': return sec / 3600
return deg, min, sec
def _resize_image(img, w_in, h_in):
"""Resize the image to the given height and width."""
imc, imh, imw = img.shape
h_in = int(h_in)
w_in = int(w_in)
part = np.zeros((imc, imh, w_in))
resized = np.zeros((imc, h_in, w_in))
w_scale = (imw - 1) / (w_in - 1)
h_scale = (imh - 1) / (h_in - 1)
for k in range(imc):
for j in range(imh):
for c in range(w_in):
if c == w_in - 1 or imw == 1:
part[k][j][c] = img[k][j][imw - 1]
else:
fdx, idx = math.modf(c * w_scale)
part[k][j][c] = (1 - fdx) * img[k][j][int(idx)] + \
fdx * img[k][j][int(idx) + 1]
for k in range(imc):
for j in range(h_in):
fdy, idy = math.modf(j * h_scale)
for c in range(w_in):
resized[k][j][c] = (1 - fdy)*part[k][int(idy)][c]
if (j == h_in - 1) or (imh == 1):
continue
for c in range(w_in):
resized[k][j][c] += fdy * part[k][int(idy) + 1][c]
return resized
def forward(self):
"""
Moves bullet forward, bounces on walls, deals damage on tank impact
"""
(vec_x, vec_y) = self.vector
(debt_x, debt_y) = self.position_debt
(fractional_x, integral_x) = math.modf(vec_x*3+debt_x)
(fractional_y, integral_y) = math.modf(vec_y*3+debt_y)
self.old_x = self.bullet.rect.x
self.old_y = self.bullet.rect.y
self.bullet.rect.x -= integral_x
self.bullet.rect.y += integral_y
tanks_hit = pygame.sprite.spritecollide(self.bullet, GAME_DATA.tanks, False)
for tank in tanks_hit:
tank.parent.damage(self.damage)
self.destroy()
walls_hit = pygame.sprite.spritecollide(self.bullet, GAME_DATA.walls, False)
if walls_hit:
diff_x = walls_hit[0].rect.centerx - self.bullet.rect.centerx
diff_y = walls_hit[0].rect.centery - self.bullet.rect.centery
if abs(diff_x) > abs(diff_y):
self.vector = (lambda x: (-x[0], x[1]))(self.vector)
else:
self.vector = (lambda x: (x[0], -x[1]))(self.vector)
self.bullet.rect.x = self.old_x
self.bullet.rect.y = self.old_y
self.position_debt = (fractional_x, fractional_y)
def _DateFrom360Day(JD):
"""
returns a 'datetime-like' object given Julian Day for a calendar where all
months have 30 days.
Julian Day is a fractional day with a resolution of approximately 0.1 seconds.
"""
if JD < 0:
raise ValueError('Julian Day must be positive')
#jd = int(360. * (year + 4716)) + int(30. * (month - 1)) + day
(F, Z) = math.modf(JD)
year = int((Z - 0.5) / 360.) - 4716
dayofyr = Z - (year + 4716) * 360
month = int((dayofyr - 0.5) / 30) + 1
day = dayofyr - (month - 1) * 30 + F
# Convert fractions of a day to time
(dfrac, days) = math.modf(day / 1.0)
(hfrac, hours) = math.modf(dfrac * 24.0)
(mfrac, minutes) = math.modf(hfrac * 60.0)
(sfrac, seconds) = math.modf(mfrac * 60.0)
microseconds = sfrac*1.e6
return datetime(year, month, int(days), int(hours), int(minutes),
int(seconds), int(microseconds), -1, dayofyr)
def test_utime(self):
# Test times arg being invalid.
for junk in ('a', 1234.1234, (1, 2, 3), (1)):
self.assertRaises(TypeError, self.vol.utime, '/path', junk)
# Test times = None
mock_glfs_utimens = Mock(return_value=1)
mock_time = Mock(return_value=12345.6789)
with patch("gluster.gfapi.api.glfs_utimens", mock_glfs_utimens):
with patch("time.time", mock_time):
self.vol.utime('/path', None)
self.assertTrue(mock_glfs_utimens.called)
self.assertTrue(mock_time.called)
# Test times passed as arg
mock_glfs_utimens.reset_mock()
atime = time.time()
mtime = time.time()
with patch("gluster.gfapi.api.glfs_utimens", mock_glfs_utimens):
self.vol.utime('/path', (atime, mtime))
self.assertTrue(mock_glfs_utimens.called)
self.assertEqual(mock_glfs_utimens.call_args[0][1], b'/path')
# verify atime and mtime
self.assertEqual(mock_glfs_utimens.call_args[0][2][0].tv_sec,
int(atime))
self.assertEqual(mock_glfs_utimens.call_args[0][2][0].tv_nsec,
int(math.modf(atime)[0] * 1e9))
self.assertEqual(mock_glfs_utimens.call_args[0][2][1].tv_sec,
int(mtime))
self.assertEqual(mock_glfs_utimens.call_args[0][2][1].tv_nsec,
int(math.modf(mtime)[0] * 1e9))
def backward(self):
"""
Moves player forward if there is no obstacle ahead.
:return: True if succeeded/ False if hit obstacle.
"""
(vec_x, vec_y) = self.moving['vector']
(debt_x, debt_y) = self.moving['position_debt']
if self.status['speed_bonus']:
speed = self.status['speed'] + 1
else:
speed = self.status['speed']
(fractional_x, integral_x) = math.modf(vec_x*speed+debt_x)
(fractional_y, integral_y) = math.modf(vec_y*speed+debt_y)
old_x = self.tank.rect.x
old_y = self.tank.rect.y
self.tank.rect.x += integral_x
self.tank.rect.y -= integral_y
obstacles_hit = pygame.sprite.spritecollide(self.tank, GAME_DATA.tanks, False)
obstacles_hit += pygame.sprite.spritecollide(self.tank, GAME_DATA.walls, False)
self.moving['position_debt'] = (fractional_x, fractional_y)
if len(obstacles_hit) > 1:
self.tank.rect.x = old_x
self.tank.rect.y = old_y
return False
return True
def simplest_fraction_in_interval(x, y):
"""
Return the fraction with the lowest denominator in the interval [x, y].
"""
# http://stackoverflow.com/questions/4266741/check-if-a-number-is-rational-in-python
if x == y:
# The algorithm will not terminate if x and y are equal.
raise ValueError("Equal arguments.")
elif x < 0 and y < 0:
# Handle negative arguments by solving positive case and negating.
return -simplest_fraction_in_interval(-y, -x)
elif x <= 0 or y <= 0:
# One argument is 0, or arguments are on opposite sides of 0, so
# the simplest fraction in interval is 0 exactly.
return Fraction(0)
else:
# Remainder and Coefficient of continued fractions for x and y.
xr, xc = modf(1 / x)
yr, yc = modf(1 / y)
if xc < yc:
return Fraction(1, int(xc) + 1)
elif yc < xc:
return Fraction(1, int(yc) + 1)
else:
return 1 / (int(xc) + simplest_fraction_in_interval(xr, yr))
def toDegreesMinutesSeconds(self):
self.__NorthString = ""
(decimal, integer) = math.modf(self.__North)
if self.__North < 0:
self.__NorthString += self.__LetterSouth
decimal *= -1
integer *= -1
else:
self.__NorthString += self.__LetterNorth
(mdecimal, minteger) = math.modf(decimal*60.0)
self.__NorthString += str(int(integer))
self.__NorthString += "° "
self.__NorthString += str(int(minteger))
self.__NorthString += "' "
self.__NorthString += str(mdecimal*60.0)
self.__NorthString += "\""
self.__EastString = ""
(decimal, integer) = math.modf(self.__East)
if self.__East < 0:
self.__EastString += self.__LetterWest
decimal *= -1
integer *= -1
else:
self.__EastString += self.__LetterEast
(mdecimal, minteger) = math.modf(decimal*60.0)
self.__EastString += str(int(integer))
self.__EastString += "° "
self.__EastString += str(int(minteger))
self.__EastString += "' "
self.__EastString += str(mdecimal*60.0)
self.__EastString += "\""
return " ".join([self.__NorthString, self.__EastString])
def arrival(self):
'''Calculates the estimated arrival time based on current speed - run as thread.'''
#Loops until routing is turned off
while self.mode == True:
speed = round(self.cache.gps['speed'],2)
#Make sure we do not divide by zero
if speed > 0:
time_current = datetime.datetime.now()
#Determine time required for whole route
time_total = self.total_distance / speed
time_total_min, time_total_hour = math.modf(time_total)
time_total_min = round(time_total_min*60)
#Create a date/time object for ETA
time_total = time_current + datetime.timedelta(hours=time_total_hour, minutes=time_total_min)
self.total_eta = time_total.strftime("%Y-%m-%d %H:%M")
#Determine time required for next point in route
time_point = self.waypoint_calc['distance'] / speed
time_point_min, time_point_hour = math.modf(time_point)
time_point_min = round(time_point_min*60)
#If time is too large to display properly
if time_point_hour > 1000:
self.waypoint_eta['hour'] = '1000'
else:
#Add a 0 if minutes are less then 10
if time_point_min < 10:
time_point_min = '0' + str(time_point_min)
#Remove decimal points
self.waypoint_eta['hour'] = int(str(time_point_hour).replace('.0',''))
self.waypoint_eta['min'] = str(time_point_min).replace('.0','')
time.sleep(4)
#Do not estimate times if speed is 0
else:
self.total_eta = ' --'
self.waypoint_eta['hour'] = '--'
self.waypoint_eta['min'] = '--'
def decimal_to_base60(deci, precision=1e-8):
"""Converts decimal number into sexagesimal number parts.
``deci`` is the decimal number to be converted. ``precision`` is how
close the multiple of 60 and 3600, for example minutes and seconds,
are to 60.0 before they are rounded to the higher quantity, for
example hours and minutes.
"""
sign = "+" # simple putting sign back at end gives errors for small
# deg. This is because -00 is 00 and hence ``format``,
# that constructs the delimited string will not add '-'
# sign. So, carry it as a character.
if deci < 0:
deci = abs(deci)
sign = "-"
frac1, num = math.modf(deci)
num = int(num) # hours/degrees is integer valued but type is float
frac2, frac1 = math.modf(frac1 * 60.0)
frac1 = int(frac1) # minutes is integer valued but type is float
frac2 *= 60.0 # number of seconds between 0 and 60
# Keep seconds and minutes in [0 - 60.0000)
if abs(frac2 - 60.0) < precision:
frac2 = 0.0
frac1 += 1
if abs(frac1 - 60.0) < precision:
frac1 = 0.0
num += 1
return (sign, num, frac1, frac2)
def solve(start, finish):
"""
as soon as you get to 2 different bits, from then on,
bits will differ in the range
break out of the while loop by setting idx=32
eg.
37 = 100001
63 = 111111
& = 100000 - first bits match, but as soon as they differ,
we know there will be 0s in those positions somewhere in our range
"""
# if start with zero or numbers are different powers of 2,
# return 0
if start == 0 or modf(log(start, 2))[1] != modf(log(finish, 2))[1]:
return 0
# make a list of bit chars for each start and finish
start_bin = dec_to_binary(start)
finish_bin = dec_to_binary(finish)
# result array holding '0's for now
res = ['0' for _ in xrange(INT_LENGTH)]
# starting from the first char
idx = 0
while idx < INT_LENGTH:
# compare
if start_bin[idx] == finish_bin[idx]:
res[idx] = start_bin[idx]
idx += 1
continue
else:
idx = INT_LENGTH
return int(''.join(res), 2)
def _calcNoTicks( self, interval, logdelta ):
"""Return the number of ticks with spacing interval*10^logdelta.
Returns a tuple (noticks, minval, maxval).
"""
# store these for modification (if we extend bounds)
minval = self.minval
maxval = self.maxval
# calculate tick spacing and maximum extension factor
delta = interval * (10**logdelta)
maxextend = (maxval - minval) * AxisTicks.max_extend_factor
# should we try to extend to nearest interval*10^logdelta?
if self.extendmin:
# extend minval if possible
if math.fabs( math.modf( minval / delta )[0] ) > 1e-8:
d = minval - ( math.floor( minval / delta ) * delta )
if d <= maxextend:
minval -= d
if self.extendmax:
# extend maxval if possible
if math.fabs( math.modf( maxval / delta)[0] ) > 1e-8:
d = ( (math.floor(maxval / delta)+1.) * delta) - maxval
if d <= maxextend:
maxval += d
numticks = self._tickNums(minval, maxval, delta)
return (numticks, minval, maxval)
def split_numbers(number):
"""
Split high precision number(s) into doubles.
TODO: Consider the option of using a third number to specify shift.
Parameters
----------
number: long double
The input high precision number which is to be split
Returns
-------
number_I: double
First part of high precision number
number_F: double
Second part of high precision number
"""
if isinstance(number, collections.Iterable):
mods = [math.modf(n) for n in number]
number_F = [f for f,_ in mods]
number_I = [i for _,i in mods]
else:
number_F, number_I = math.modf(number)
return np.double(number_I), np.double(number_F)
def create_speed_seq(file_, int_, frac_):
''' Create int sequence where each number represents count of lines to be added to gnuplot input
status: finished
return: list
raise: None
'''
from math import modf
file_seq = list()
frac_reminder = 0
if frac_ == 0: # If the speed is integer, we could just return the quotient and reminder and not whole list...
file_seq = [int_ for i in range(0, int(file_['num_of_lines'] / int_))]
if file_['num_of_lines'] % int_ != 0: # ... which would save some time && memory
file_seq.append(file_['num_of_lines'] % int_)
else:
while sum(file_seq) != file_['num_of_lines']:
to_append = int_
frac_reminder += frac_
if frac_reminder >= 1:
frac_reminder_frac = modf(frac_reminder)[0]
frac_reminder_natur = modf(frac_reminder)[1]
frac_reminder -= frac_reminder_natur
to_append += int(frac_reminder_natur)
if sum(file_seq) + to_append <= file_['num_of_lines']:
file_seq.append(to_append)
else:
file_seq.append(file_['num_of_lines'] - sum(file_seq))
return file_seq
def getCoordParts(ppos=[0.0,0.0]):
#decompose fract / whole from particle position
ppos_parts = [[0.0,0.0],[0.0,0.0]] #[fract,whole] for each x,y comp
ppos_parts[0][0] = pm.modf(ppos[0])[0];ppos_parts[0][1] = pm.modf(ppos[0])[1]
ppos_parts[1][0] = pm.modf(ppos[1])[0];ppos_parts[1][1] = pm.modf(ppos[1])[1]
return ppos_parts
def dd_to_dms(degs):
neg = degs < 0
degs = (-1) ** neg * degs
degs, d_int = math.modf(degs)
mins, m_int = math.modf(60 * degs)
secs = 60 * mins
return neg, d_int, m_int, secs
def do_lat_lon(self, words):
if len(words[0]) == 0 or len(words[1]) == 0: # empty strings?
return
if words[0][-1] == "N":
words[0] = words[0][:-1]
words[1] = "N"
if words[0][-1] == "S":
words[0] = words[0][:-1]
words[1] = "S"
if words[2][-1] == "E":
words[2] = words[2][:-1]
words[3] = "E"
if words[2][-1] == "W":
words[2] = words[2][:-1]
words[3] = "W"
if len(words[0]):
lat = string.atof(words[0])
frac, intpart = math.modf(lat / 100.0)
lat = intpart + frac * 100.0 / 60.0
if words[1] == "S":
lat = -lat
(self.lat, self.LATLON) = self.update(self.lat, lat, self.LATLON)
if len(words[2]):
lon = string.atof(words[2])
frac, intpart = math.modf(lon / 100.0)
lon = intpart + frac * 100.0 / 60.0
if words[3] == "W":
lon = -lon
(self.lon, self.LATLON) = self.update(self.lon, lon, self.LATLON)
def configcosfire1(img,params,x,y,sig):
angle=np.linspace(1,360,360)*(math.pi/180);
rho=[2,4,6,8]
rho1=[0,2,4,6,8]
max1=np.amax(img);
asymparams={'sigma':sig,'0':[0,0],'2':[],'4':[],'6':[],'8':[]}
for r in rho:
for theta in angle:
cnt=theta*180/math.pi
x1=x+(r*math.cos(theta))
y1=y+(r*math.sin(theta))
x_1=math.modf(x1)
y_1=math.modf(y1)
#print(img[x_1,y1])
#print(x1,y1)
if((x_1[0]==float(0)) & (y_1[0]==float(0))):
if((img[x_1[1],y_1[1]]==43)or img[x_1[1],y_1[1]]==45 or img[x_1[1],y_1[1]]==42):
asymparams[str(r)].append(theta-(math.pi/2))
asymparams['rho']=rho1
return(asymparams)
def getcolor(value, size):
color = None
if value == 0:
color = scale[0]
elif value >= size:
color = scale[-1]
else:
if size > 1:
details, low_bound = math.modf(value * len(scale) / float(math.log(size, 2)))
else:
details, low_bound = math.modf(value * len(scale))
low_bound = int(low_bound)
if low_bound >= len(scale) - 1:
color = scale[-1]
else:
min_scale = scale[low_bound]
max_scale = scale[low_bound + 1]
color = []
for c1, c2 in zip(min_scale, max_scale):
if c1 == c2:
color.append(c1)
elif c1 < c2:
color.append(c1 + int(details * (c2 - c1)))
else:
color.append(c1 - int(details * (c1 - c2)))
return tuple(color)
def convertHHMMSSToTotalSeconds(inputTime):
# the original input time is in the format hhmmss.xyz
seconds = math.modf(inputTime / 100.0)
# seconds is now a 2-tuple containing (.ssxyz, hhmm.)
minutes = math.modf(seconds[1] / 100.0)
# minutes is now a 2-tuple containing (.mm, hh)
return (seconds[0] * 100.0) + ((minutes[0] * 100.0) * 60.0) + (minutes[1] * 3600.0)
def PRF2DET(flux,OBJx,OBJy,DATx,DATy,wx,wy,a,splineInterpolation):
# trigonometry
cosa = cos(radians(a))
sina = sin(radians(a))
# where in the pixel is the source position?
PRFfit = zeros((size(DATy),size(DATx)))
for i in range(len(flux)):
FRCx,INTx = modf(OBJx[i])
FRCy,INTy = modf(OBJy[i])
if FRCx > 0.5:
FRCx -= 1.0
INTx += 1.0
if FRCy > 0.5:
FRCy -= 1.0
INTy += 1.0
FRCx = -FRCx
FRCy = -FRCy
# constuct model PRF in detector coordinates
for (j,y) in enumerate(DATy):
for (k,x) in enumerate(DATx):
xx = x - INTx + FRCx
yy = y - INTy + FRCy
dx = xx * cosa - yy * sina
dy = xx * sina + yy * cosa
PRFfit[j,k] += PRFfit[j,k] + splineInterpolation(dy*wy,dx*wx) * flux[i]
return PRFfit
def on_render(self, target):
if self.roof:
target.blit(
self.roof, (0, 0), area=(target.get_width(), target.get_height() / 2))
if self.floor:
target.blit(self.floor, (0, target.get_height() / 2),
area=(get_target.width(), target.get_height() / 2))
self.screen_width, self.screen_height = target.get_width(), target.get_height()
f = self.create_screen_func()
# print(self.screen_width)
for k in range(1, self.screen_width + 1, self.column_width):
x_cam, y_cam = f(k/self.screen_width)
p = self.get_obstacle_in_direction(
(self.player.x, self.player.y), (x_cam, y_cam))
if p:
x, y = p
i, j = int(
modf(x / BLOCK_WIDTH)[1]), int(modf(y / BLOCK_HEIGHT)[1])
height = self.calc_column_height((x, y))
if not self.fish_eye:
x_base, y_base = self.player.camera_vector()
c = ((x_cam - self.player.x) * x_base + (y_cam - self.player.y) * y_base) / (norm(x_base, y_base) * norm((x_cam - self.player.x), (y_cam - self.player.y)))
height /= c
pygame.draw.rect(target, self.world[j][i][1],
(k, (self.screen_height - height) / 2, self.column_width, height))
def PRF2DET2(flux,OBJx,OBJy,DATx,DATy,splineInterpolation):
# where in the pixel is the source position?
PRFfit = zeros((size(DATy),size(DATx)))
for i in range(len(flux)):
FRCx,INTx = modf(OBJx[i])
FRCy,INTy = modf(OBJy[i])
if FRCx > 0.5:
FRCx -= 1.0
INTx += 1.0
if FRCy > 0.5:
FRCy -= 1.0
INTy += 1.0
FRCx = -FRCx
FRCy = -FRCy
# constuct model PRF in detector coordinates
for (j,y) in enumerate(DATy):
for (k,x) in enumerate(DATx):
dy = y - INTy + FRCy
dx = x - INTx + FRCx
PRFfit[j,k] = PRFfit[j,k] + splineInterpolation(dy,dx) * flux[i]
return PRFfit
def do_lat_lon(self, words):
if words[0][-1] == 'N':
words[0] = words[0][:-1]
words[1] = 'N'
if words[0][-1] == 'S':
words[0] = words[0][:-1]
words[1] = 'S'
if words[2][-1] == 'E':
words[2] = words[2][:-1]
words[3] = 'E'
if words[2][-1] == 'W':
words[2] = words[2][:-1]
words[3] = 'W'
if len(words[0]):
lat = string.atof(words[0])
frac, intpart = math.modf(lat / 100.0)
lat = intpart + frac * 100.0 / 60.0
if words[1] == 'S':
lat = -lat
(self.lat, self.LATLON) = self.update(self.lat, lat, self.LATLON)
if len(words[2]):
lon = string.atof(words[2])
frac, intpart = math.modf(lon / 100.0)
lon = intpart + frac * 100.0 / 60.0
if words[3] == 'W':
lon = -lon
(self.lon, self.LATLON) = self.update(self.lon, lon, self.LATLON)
def _format_degree(degree, latitude=True):
lit = ["NS", "EW"][0 if latitude else 1][0 if degree > 0 else 1]
degree = abs(degree)
mint, stop = math.modf(degree)
sec, mint = math.modf(mint * 60)
return "%d %d' %s'' %s" % (stop, mint,
locale.format('%0.2f', sec * 60), lit)
def load_image_file(self, filepath):
""" Reads a single image file (e.g. a CBF or MCCD) and returns raw data,
experiment information, and an image type (e.g. pickle, raw image, or none)
:param img: path to image file
:return: data: raw image data and experiment info
img_type: which type of image this was, or None if not loaded
"""
error = None
try:
with util.Capturing() as junk_output:
loaded_img = dxtbx.load(filepath)
except Exception as e:
error = 'IOTA IMPORTER ERROR: DXTBX failed! {}'.format(e)
print(e)
loaded_img = None
# Extract image information
if loaded_img is not None:
raw_data = loaded_img.get_raw_data()
detector = loaded_img.get_detector()[0]
beam = loaded_img.get_beam()
scan = loaded_img.get_scan()
distance = detector.get_distance()
pixel_size = detector.get_pixel_size()[0]
overload = detector.get_trusted_range()[1]
wavelength = beam.get_wavelength()
beam_x = detector.get_beam_centre(beam.get_s0())[0]
beam_y = detector.get_beam_centre(beam.get_s0())[1]
if scan is None:
timestamp = None
else:
msec, sec = math.modf(scan.get_epochs()[0])
timestamp = evt_timestamp((sec, msec))
# Assemble datapack
data = dpack(data=raw_data,
distance=distance,
pixel_size=pixel_size,
wavelength=wavelength,
beam_center_x=beam_x,
beam_center_y=beam_y,
ccd_image_saturation=overload,
saturated_value=overload,
timestamp=timestamp)
if scan is not None:
osc_start, osc_range = scan.get_oscillation()
if osc_start != osc_range:
data['OSC_START'] = 0 #osc_start
data['OSC_RANGE'] = 0 #osc_start
data['TIME'] = scan.get_exposure_times()[0]
# Populate image object information
self.img_object.final['pixel_size'] = pixel_size
self.img_object.final['img_size'] = (data['SIZE1'], data['SIZE2'])
self.img_object.final['beamX'] = beam_x
self.img_object.final['beamY'] = beam_y
self.img_object.final['gain'] = detector.get_gain()
self.img_object.final['distance'] = distance
self.img_object.final['wavelength'] = wavelength
else:
data = None
return data, error
def degtodm(self, angle):
"Decimal degrees to GPS-style, degrees first followed by minutes."
(fraction, integer) = math.modf(angle)
return math.floor(angle) * 100 + fraction * 60
def deg_conv(num):
mnt, deg = math.modf(float(num))
mnt = mnt * 100 / 60
return str(deg + mnt)
bologna = earth + Topos('43.1479 N', '12.1097 E')
##set the time interval (not used) ---> to be deleted
#start_year=2007;
#stop_year=2015;
#months = 12*(stop_year-start_year)
#define the time-structure
ts = load.timescale()
#set the time range
t_start = ts.utc(2009, 1, 1, 0, 0, 0)
t_stop = ts.utc(2015, 1, 1, 0, 0, 0)
#getting total time to process (in adu - to be investigated)
total_time_frac, total_time = math.modf(t_stop.tt - t_start.tt)
array_index = 0
step = 3600 / 86400 #note: this is the moon-paper and analysis setting
#step = 10
t_cursor = t_start
from array import *
zen_array = array('d')
azi_array = array('d')
azicorr_array = array('d')
xstereo_array = array('d')
ystereo_array = array('d')
xlambert_array = array('d')
if (time_ns - t0) > duration * 1e9: break
groundtruth = truth(float(row[0]))
omega = np.array([row[1:4]], dtype=np.float64).T - groundtruth[-6:-3,
None]
acc = np.array([row[4:]], dtype=np.float64).T - groundtruth[-3:, None]
acc = T_IMU_B.rotation.rotp(acc)
omega = T_IMU_B.rotation.rotp(omega)
# imu.append(np.vstack((omega, acc)).flatten().tolist())
# Write the IMU message to the bag
msg = Imu()
msg.header.frame_id = "body"
msg.header.stamp = rospy.Time(int(math.modf(time_ns / 1e9)[1]),
int(math.modf(time_ns / 1e9)[0] * 1e9))
msg.angular_velocity.x = omega[0, 0]
msg.angular_velocity.y = omega[1, 0]
msg.angular_velocity.z = omega[2, 0]
msg.linear_acceleration.x = acc[0, 0]
msg.linear_acceleration.y = acc[1, 0]
msg.linear_acceleration.z = acc[2, 0]
outbag.write('imu', msg, msg.header.stamp)
#
# T_NWU_IMU = Transform(Quaternion(np.array([groundtruth[4:8]]).T), np.array([groundtruth[1:4]]).T)
# T_I_B = T_I_NWU * T_NWU_IMU * T_IMU_B
# if i == 1:
# T_I_B0 = Transform(Quaternion.from_euler(0, 0, T_I_B.rotation.euler[2,0]), T_I_B.translation)
#
# # Write the Associated Truth message to the bag
def float_to_time(float_hour):
if float_hour == 24.0:
return datetime.time.max
return datetime.time(
int(math.modf(float_hour)[1]),
int(float_round(60 * math.modf(float_hour)[0], precision_digits=0)), 0)
import math a = math.modf(1.432) print(isinstance(a, tuple)) print(a)
def tick(self, dt):
# print('########################')
_start_t = time()
self.root.ids.eps.text = 'EPS\n'
self.root.ids.scores.text = 'Scores\n'
self.root.ids.territories.text = 'Territories\n'
self.root.ids.units.text = 'Units\n'
self.root.ids.new_units.text = 'New Units\n'
self.root.ids.max_pops.text = 'Max Pop\n'
# Update Map
_s = time()
for (x, y), color in utils.territories_colors_from_updates(
self.army_updates, self.players, self.territories,
self.armies):
i = (self.map_size[0] * (self.map_size[1] - y - 1) + x) * 4
self.map_px[i:i + 4] = array('B', color)
self.map.blit_buffer(self.map_px, colorfmt='rgba', bufferfmt='ubyte')
# print("Update map took:", time()-_s, "for", len(self.army_updates), "updates and", sum(len(armies) for armies in self.armies))
# Spawn player armies
_s = time()
for pid, player in enumerate(self.players):
if not self.land[pid]:
self.root.ids.max_pops.text += f"[color=%02x%02x%02x]0[/color]\n" % player.color
self.root.ids.new_units.text += f"[color=%02x%02x%02x]0[/color]\n" % player.color
continue
land = self.players_scores[pid]
armies = len(self.armies[pid])
max_pop = config.POP_BASE + log(
1 + land * config.POP_HEIGHT) * config.POP_WIDTH
player.max_pop = max_pop
self.root.ids.max_pops.text += f"[color=%02x%02x%02x]{int(max_pop)}[/color]\n" % player.color
growth = max((max_pop - armies) * config.POP_GROWTH, 0)
self.root.ids.new_units.text += f"[color=%02x%02x%02x]{round(growth, 3)}[/color]\n" % player.color
excess, growth = modf(self.players_armies_excess[pid] + growth)
self.players_armies_excess[pid] = excess
for _ in range(int(growth)):
x, y = random.choice(list(self.land[pid]))
self.spawn_army(pid, x, y)
# print("Spawn player armies took:", time()-_s)
# Record History
if self.army_updates:
updates = [(int(pid), str(aid), origin, target)
for pid, aid, origin, target in self.army_updates]
self.history['history'].append(updates)
_s = time()
# Update players and get their movement orders
army_updates = tuple(self.army_updates)
self.army_updates.clear()
total_moves = []
for pid, player in enumerate(self.players):
if not self.armies[pid] and not self.land[pid]:
self.root.ids.scores.text += f"[color=%02x%02x%02x]-[/color]\n" % player.color
self.root.ids.territories.text += f"[color=%02x%02x%02x]-[/color]\n" % player.color
self.root.ids.units.text += f"[color=%02x%02x%02x]-[/color]\n" % player.color
self.root.ids.eps.text += f"[color=%02x%02x%02x]-[/color]\n" % player.color
continue
eps_start = time()
moves = tuple(player.update(army_updates))
eps = time() - eps_start
total_moves.extend([(pid, aid, target) for aid, target in moves])
self.eps[pid].append(1. / eps)
eps = round(sum(self.eps[pid]) / len(self.eps[pid]))
units_ = round(
len(self.armies[pid]) + self.players_armies_excess[pid], 2)
self.root.ids.scores.text += f"[color=%02x%02x%02x]{self.players_scores[pid]}[/color]\n" % player.color
self.root.ids.territories.text += f"[color=%02x%02x%02x]{len(self.land[pid])}[/color]\n" % player.color
self.root.ids.units.text += f"[color=%02x%02x%02x]{units_}[/color]\n" % player.color
self.root.ids.eps.text += f"[color=%02x%02x%02x]{eps}[/color]\n" % player.color
# print("Update players took:", time()-_s)
_s = time()
# Process player movement orders
random.shuffle(total_moves)
while total_moves:
pid, aid, target = total_moves.pop(0)
try:
allied_coord = self.armies[pid][aid]
except KeyError:
continue # Happens if army was defeated before its move could be executed or player tried to cheat
# Check if colonizing
if target is None:
x, y = allied_coord
if self.territories[x, y, 1] == -1:
# Colonize
self.change_owner(x, y, pid)
self.army_updates.append((pid, aid, allied_coord, None))
if config.SUCCESS_COLONIZING_CHANCE >= random.random():
# Colonized without issues, can move again
self.army_updates.append(
(pid, aid, None, allied_coord))
else:
self.armies[pid].pop(aid)
continue
x, y = target
terrain = self.territories[x, y, 0]
if self.territories[allied_coord[0], allied_coord[1],
0] != terrain:
speed = TERRAIN[terrain].get(
ENTER_SPEED) or TERRAIN[terrain][SPEED]
else:
speed = TERRAIN[terrain][SPEED]
speed = speed + self.army_speed_excess.get(aid, 0)
self.army_speed_excess[aid], speed = modf(speed)
if speed == 0:
continue
# Check if move is valid
move_distance = abs(x - allied_coord[0]) + abs(y - allied_coord[1])
if move_distance != 1:
raise ValueError(
f"Player {pid} can't move army {aid} {move_distance} territories"
)
owner = self.territories[x, y, 1]
# Own territory or unoccupied -> simply move army
if owner == pid:
self.move_army(pid, aid, allied_coord, (x, y))
# Empty, occupied by enemy or stationed army
else:
# Stationed army player, owner or -1 (No owner)
enemy_pid = next(
(pid_ for pid_, armies_ in enumerate(self.armies)
for aid_, pos_ in armies_.items()
if aid_ != aid and pid_ != pid and pos_ == target), owner)
allied_armies = [aid]
for pid_, aid_, target_ in total_moves:
if pid_ != pid or target_ != (x, y):
continue
allied_armies.append(aid_)
if enemy_pid == -1:
# No territory owner and no enemy army present
self.move_army(pid, aid, allied_coord, target)
continue
else:
enemy_armies = [
uid for uid, coord in self.armies[enemy_pid].items()
if coord == (x, y)
]
terrain = self.territories[allied_coord[0], allied_coord[1], 0]
attacker_roll = sum(
random.randint(0, config.BATTLE_MAX_ROLL)
for _ in allied_armies)
attacker_roll = round(attacker_roll *
TERRAIN[terrain].get(ATTACK_MOD, 1))
terrain = self.territories[x, y, 0]
defender_roll = (sum(
random.randint(0, config.BATTLE_MAX_ROLL)
for _ in enemy_armies))
defender_roll = round(defender_roll *
TERRAIN[terrain].get(DEFENCE_MOD, 1.5))
if attacker_roll > defender_roll: # Win for attacker
if enemy_armies:
enemy_aid = enemy_armies.pop(0)
self.army_updates.append(
(enemy_pid, enemy_aid, (x, y), None))
self.armies[enemy_pid].pop(enemy_aid)
if not enemy_armies: # Last army was defeated or none present
self.move_army(pid, aid, allied_coord, (x, y))
else: # Win for defender (even if attacker and defender roll are the same)
self.armies[pid].pop(aid)
self.army_updates.append((pid, aid, allied_coord, None))
# print("Process player moves took:", time()-_s)
# Check for hazardousness of current terrain type
for pid, armies in enumerate(self.armies):
for aid, (x, y) in list(armies.items()):
if self.territories[x, y, 1] == pid:
continue
terrain = self.territories[x, y, 0]
hazard = TERRAIN[terrain].get(HAZARD, DEFAULT_HAZARD)
if random.random() < hazard:
self.armies[pid].pop(aid)
self.army_updates.append((pid, aid, (x, y), None))
self.tps.append(1. / (time() - _start_t))
self.root.ids.tps.text = str(round(sum(self.tps) / len(self.tps), 1))
self.root.ids.total_ticks.text = str(
int(self.root.ids.total_ticks.text) + 1)
def testfunc(
a: float,
) -> ty.NamedTuple("Output", [("fractional", float), ("integer", int)]):
import math
return math.modf(a)[0], int(math.modf(a)[1])
def CalcRadian(self, i):
deg = int(math.modf(i)[1])
min = i - deg
return (math.pi * (deg + 5 * min / 3.0) / 180.0)
def _parse_iso(timestamp):
"""Internal function for parsing a timestamp in
ISO 8601 format"""
timestamp = timestamp.strip()
m = _iso8601_parser.match(timestamp)
if not m:
raise ValueError("Not a proper ISO 8601 timestamp!")
year = int(m.group('year'))
month = int(m.group('month'))
day = int(m.group('day'))
h, min, s, us = None, None, None, 0
frac = 0
if m.group('tzempty') == None and m.group('tzh') == None:
raise ValueError("Not a proper ISO 8601 timestamp: " +
"missing timezone (Z or +hh[:mm])!")
if m.group('frac'):
frac = m.group('frac')
power = len(frac)
frac = long(frac) / 10.0 ** power
if m.group('hour'):
h = int(m.group('hour'))
if m.group('minute'):
min = int(m.group('minute'))
if m.group('second'):
s = int(m.group('second'))
if frac != None:
# ok, fractions of hour?
if min == None:
frac, min = _math.modf(frac * 60.0)
min = int(min)
# fractions of second?
if s == None:
frac, s = _math.modf(frac * 60.0)
s = int(s)
# and extract microseconds...
us = int(frac * 1000000)
if m.group('tzempty') == 'Z':
offsetmins = 0
else:
# timezone: hour diff with sign
offsetmins = int(m.group('tzh')) * 60
tzm = m.group('tzm')
# add optional minutes
if tzm != None:
tzm = long(tzm)
offsetmins += tzm if offsetmins > 0 else -tzm
tz = _get_fixed_offset_tz(offsetmins)
return datetime(year, month, day, h, min, s, us, tz)
def _adjust_replica2part2dev_size(self):
"""
Make sure that the lengths of the arrays in _replica2part2dev
are correct for the current value of self.replicas.
Example:
self.part_power = 8
self.replicas = 2.25
self._replica2part2dev will contain 3 arrays: the first 2 of
length 256 (2**8), and the last of length 64 (0.25 * 2**8).
Returns a 2-tuple: the first element is a list of (partition,
replicas) tuples indicating which replicas need to be
(re)assigned to devices, and the second element is a count of
how many replicas were removed.
"""
removed_replicas = 0
fractional_replicas, whole_replicas = math.modf(self.replicas)
whole_replicas = int(whole_replicas)
desired_lengths = [self.parts] * whole_replicas
if fractional_replicas:
desired_lengths.append(int(self.parts * fractional_replicas))
to_assign = defaultdict(list)
if self._replica2part2dev is not None:
# If we crossed an integer threshold (say, 4.1 --> 4),
# we'll have a partial extra replica clinging on here. Clean
# up any such extra stuff.
for part2dev in self._replica2part2dev[len(desired_lengths):]:
for dev_id in part2dev:
dev_losing_part = self.devs[dev_id]
dev_losing_part['parts'] -= 1
removed_replicas += 1
self._replica2part2dev = \
self._replica2part2dev[:len(desired_lengths)]
else:
self._replica2part2dev = []
for replica, desired_length in enumerate(desired_lengths):
if replica < len(self._replica2part2dev):
part2dev = self._replica2part2dev[replica]
if len(part2dev) < desired_length:
# Not long enough: needs to be extended and the
# newly-added pieces assigned to devices.
for part in xrange(len(part2dev), desired_length):
to_assign[part].append(replica)
part2dev.append(0)
elif len(part2dev) > desired_length:
# Too long: truncate this mapping.
for part in xrange(desired_length, len(part2dev)):
dev_losing_part = self.devs[part2dev[part]]
dev_losing_part['parts'] -= 1
removed_replicas += 1
self._replica2part2dev[replica] = part2dev[:desired_length]
else:
# Mapping not present at all: make one up and assign
# all of it.
for part in xrange(desired_length):
to_assign[part].append(replica)
self._replica2part2dev.append(
array('H', (0 for _junk in xrange(desired_length))))
return (list(to_assign.iteritems()), removed_replicas)
def suspend (timeout): a, b = math.modf (timeout) for i in range (int (b)): socketpool.noop () time.sleep (1) time.sleep (a)
from math import modf
Found = False
N = 997 # Because 999 * 999 = 998001, therefore we start from 997799
while not Found and N >= 100:
Divis = 101 # We start dividing by 100
Palindrom = int(str(N) + str(N)[::-1]) # Make the Palindrom out of N.
while Divis < 1000:
Divis += 1
# Get the float value and the integer value of the division.
(floatV, intV) = modf(Palindrom / Divis)
if floatV == 0 and intV in range(100, 1000):
Found = True
break
N -= 1
# This is the most optimal solution I could think of
# given my current level of Math and Python experience.
End = perf_counter()
print("Result is equal to: ", max(res))
print("Time consumed: ", End-Start, "seconds.")
def solve_problem_intero(instanceProblem, iteration_manager):
iteration = 0
model = cplex.Cplex()
num_variables = instanceProblem.columns
# si aggiungono variabili binarie al modello
for j in range(num_variables):
model.variables.add(names=['x' + str(j)], lb=[0.0], ub=[1.0])
# si aggiunge la funzione obiettivo al modello
for j in range(num_variables):
model.objective.set_linear([(j, float(instanceProblem.costs[j]))])
model.objective.set_sense(model.objective.sense.minimize)
# si aggiungono i vincoli
# prima si aggiungono i vincoli che sono piani di taglio
if instanceProblem.cut_constraint_counter != 0:
for i in range(instanceProblem.cut_constraint_counter):
constraint = cplex.SparsePair(
ind=[j for j in range(num_variables)],
val=instanceProblem.matrix[i])
model.linear_constraints.add(lin_expr=[constraint],
senses=['L'],
rhs=[instanceProblem.b_vector[i]],
names=['c' + str(i)])
# dopo si aggiungono i vincoli originali del problema
for i in range(instanceProblem.cut_constraint_counter,
instanceProblem.rows):
constraint = cplex.SparsePair(ind=[j for j in range(num_variables)],
val=instanceProblem.matrix[i])
model.linear_constraints.add(lin_expr=[constraint],
senses=['G'],
rhs=[instanceProblem.b_vector[i]],
names=['c' + str(i)])
model.write("./formulazione.lp")
model.solve()
model.solution.write("./soluzione.lp")
opt_value = str(model.solution.get_objective_value())
print("\nValore ottimo della funzione obiettivo: " +
str(model.solution.get_objective_value()))
instanceProblem.optimal_solution.append(float(opt_value))
iteration += 1
# creiamo la disequazione per effettuare il cutting plane, se necessario
# la posizione j occupata in basis_variables_indexes dalla variabile in base con valore ottimo
# frazionario, corrisponde al numero di riga del tableau (e quindi all'indice del vincolo) da
# considerare per il taglio. In optimal_values_basis_variables alla medesima posizione j si trova il
# corrispondente valore ottimo del rilassamento lineare della variabile in base considerata
optimal_values_basis_variables = model.solution.basis.get_header()[
1] # valori ottimi delle variabili in base
basis_variables_indexes = model.solution.basis.get_header()[
0] # indici delle variabili in base
create_cut_constraint = False
# rappresenta l'indice della riga del tableau finale considerata per il taglio
cut_constraint_index = 0
for j in range(len(basis_variables_indexes)):
# se l'indice della variabile in base è >= 0 è una variabile strutturale, se l'indice è < 0 è una variabile di
# slack o di surplus
if basis_variables_indexes[j] >= 0:
# con 0 selezioniamo la parte frazionaria
double_part = math.modf(optimal_values_basis_variables[j])[0]
# selezioniamo come dizionario per il taglio quello che risulta corrispondere alla prima variabile
# frazionaria della soluzione ottima del rilassamento lineare
if double_part != 0.0:
create_cut_constraint = True
cut_constraint_index = j
break
if create_cut_constraint:
cut_constraint_coefficients = model.solution.advanced.binvarow(
cut_constraint_index)
for j in range(num_variables):
int_part = math.floor(cut_constraint_coefficients[j])
cut_constraint_coefficients[j] = int_part
# ora che abbiamo tutti i coefficienti ed il termine noto interi, possiamo aggiungerli al modello
instanceProblem.rows = instanceProblem.rows + 1
# si crea una matrice rows x columns tutta settata a 0
new_matrix = [[0] * num_variables for i in range(instanceProblem.rows)]
# si aggiunge alla matrice il nuovo vincolo di cutting plane
new_matrix[0] = cut_constraint_coefficients
# si aggiungono alla matrice i vincoli iniziali
for i in range(instanceProblem.rows - 1):
new_matrix[i + 1] = instanceProblem.matrix[i]
# si crea un nuovo vettore b tutto settato a 1
new_b_vector = [1.0] * instanceProblem.rows
# si aggiunge al vettore b dei termini noti il nuovo termine noto dato dalla parte intera del valore ottimo
# della variabile del vincolo selezionato per il taglio
new_b_vector[0] = math.floor(
optimal_values_basis_variables[cut_constraint_index])
# si aggiungono al vettore b i termini noti originali più quelli dei tagli precedenti
for i in range(instanceProblem.rows - 1):
new_b_vector[i + 1] = instanceProblem.b_vector[i]
# si incrementa di 1 il contatore dei vincoli che sono piani di taglio
instanceProblem.cut_constraint_counter = instanceProblem.cut_constraint_counter + 1
instanceProblem.matrix = new_matrix
instanceProblem.b_vector = new_b_vector
# controllo del numero di righe della matrice: se è pari a 1000 l'algoritmo si interrompe (causa versione
# free cplex)
if instanceProblem.rows == 1000:
return None
# impostiamo i valori nell'itaration mangager e verifichiamo se ci sono le condizioni per contiuare le
# iterazioni
last_objective_function_value = model.solution.get_objective_value()
previous_objective_function_value = iteration_manager.last_objective_function_value
if previous_objective_function_value != 0:
difference_percent = ((last_objective_function_value -
previous_objective_function_value) /
previous_objective_function_value) * 100
if difference_percent >= iteration_manager.percent_limit:
iteration_manager.last_objective_function_value = last_objective_function_value
iteration_manager.is_difference_limit = False
instanceProblem.num_try += 1
solve_problem_intero(instanceProblem, iteration_manager)
elif iteration_manager.is_difference_limit:
return None
else:
iteration_manager.last_objective_function_value = last_objective_function_value
iteration_manager.is_difference_limit = True
instanceProblem.num_try += 1
solve_problem_intero(instanceProblem, iteration_manager)
else:
iteration_manager.last_objective_function_value = last_objective_function_value
solve_problem_intero(instanceProblem, iteration_manager)
else:
return None
'''
given a positive number print its fractional part
'''
import math
user_input = float(input("enter any number:"))
fractional_part = math.modf(user_input)
print(fractional_part)
def toHWU(name,t):
if (name == "Bendchi2") | (name == "Chi2rphi") | (name =="Chi2rz"):
return np.digitize(t,TrackWord_config[name]["bins"],right=True)-1
else:
import math
'''Convert a track coordinate to Hardware Units'''
intpart = TrackWord_config[name]['split'][1]
n_bits = TrackWord_config[name]['split'][0]
if TrackWord_config[name]['Signed']:
signbit = np.signbit(t)
if signbit:
sign = -1
else:
sign = 1
n_bits -= 1
intnbins = 2**(intpart) -1
fracnbins = 2**(n_bits-intpart) -1
if intpart > 0:
t = abs(t)
fractional,integer = math.modf(t)
tmin = 0
tmax = TrackWord_config[name]['max']
x = tmax if integer > tmax else integer
x = tmin if integer < tmin else x
# Get the bin index
x = (x - tmin) / ((tmax - tmin) / intnbins)
if name=="Z0":
x = x
y = np.copysign((fractional * fracnbins) ,sign)
else:
x = np.copysign(x,sign)
y = fractional * fracnbins
return round(x),round(y)
else:
tmin = TrackWord_config[name]['min']
tmax = TrackWord_config[name]['max']
x = tmax if t > tmax else t
x = tmin if t < tmin else x
# Get the bin index
x = (x - tmin) / ((tmax - tmin) / fracnbins)
if TrackWord_config[name]['Signed']:
t = abs(t)
tmin = 0
tmax = TrackWord_config[name]['max']
x = tmax if t > tmax else t
x = tmin if t < tmin else x
# Get the bin index
x = (x - tmin) / ((tmax - tmin) / fracnbins)
x = np.copysign(x,sign)
return round(x)
def stampconv(cls, pytime):
sec, usec = modf(pytime)
sec = int(sec)
usec = int(usec // 10 ** (int(log(usec, 10)) - 6 + 1))
return sec, usec
''' abs(x) 返回数字的绝对值，如abs(-10) 返回 10 ceil(x) 返回数字的上入整数，如math.ceil(4.1) 返回 5 exp(x) 返回e的x次幂(ex),如math.exp(1) 返回2.718281828459045 fabs(x) 返回数字的绝对值，如math.fabs(-10) 返回10.0 floor(x) 返回数字的下舍整数，如math.floor(4.9)返回 4 log(x) 如math.log(math.e)返回1.0,math.log(100,10)返回2.0 log10(x) 返回以10为基数的x的对数，如math.log10(100)返回 2.0 max(x1, x2,...) 返回给定参数的最大值，参数可以为序列。 min(x1, x2,...) 返回给定参数的最小值，参数可以为序列。 modf(x) 返回x的整数部分与小数部分，两部分的数值符号与x相同，整数部分以浮点型表示。 pow(x, y) x**y 运算后的值。 round(x [,n]) 返回浮点数x的四舍五入值，如给出n值，则代表舍入到小数点后的位数。 sqrt(x) 返回数字x的平方根。 ''' import math print(abs(-10)) #返回绝对值 print(math.ceil(4.5)) #向上取整 print(math.exp(1)) #e的x次幂 print(math.fabs(-10)) #返回浮点数绝对值 print(math.floor(5.9)) #向下取整 print(math.log(100, 10)) #以10为底100的对数 print(math.log10(100)) #以10为底100的对数 print(max(1, 6, -1, -2.2, 0, 22 / 3)) #返回最大值 print(min(1, 6, -1, -2.2, 0, 22 / 3)) #返回最小值 print(math.modf(-2.2)) #返回整数部分和小数部分 print(pow(2, 3)) #2的3次幂 print(round(17 / 3, 2)) #四舍五入取2位小数 print(math.sqrt(2)) #返回2的平方根
def printTracks(event,filename,hwu=True,fwpt=True,LUTeta=True):
import math
sector_dict = {"0":[], "1":[], "2":[], "3":[], "4":[], "5":[], "6":[], "7":[], "8":[],
"9":[],"10":[],"11":[],"12":[],"13":[],"14":[],"15":[],"16":[],"17":[]}
f = open(filename, "w")
f.write(str(repr('Sector').rjust(15)+repr('InvR').rjust(15)+repr('Phi').rjust(15)+
repr('TanLInt').rjust(15)+repr('TanLFrac').rjust(15)+repr('Z0Int').rjust(15)+
repr('Z0Frac').rjust(15)+repr('QMVA').rjust(15)+repr('OtherMVA').rjust(15)+
repr('D0Int').rjust(15)+repr('D0Frac').rjust(15)+repr('Chi2rphi').rjust(15)+
repr('Chi2rz').rjust(15)+repr('Bendchi2').rjust(15)+repr('Hitpattern').rjust(15)+
repr('Pt').rjust(15)+repr('Eta').rjust(15)+"\n"))
if LUTeta:
TanLUTf = open("TanLUT.txt")
TanLUTlines = TanLUTf.readlines()
total_tracks = 0
for trk_i in range(len(event["phiSector"])):
for sector_i in range(9):
if event["phiSector"][trk_i] == sector_i:
if np.sign(event['eta'][trk_i]) == -1:
sector_name = str(sector_i*2)
else:
sector_name = str(2*sector_i + 1)
sector_dict[sector_name].append(trk_i)
total_tracks += 1
list_iter = 0
while total_tracks > 0:
for i in range(0,18):
if len(sector_dict[str(i)]) > list_iter :
trk_i = sector_dict[str(i)][list_iter-1]
if hwu:
if fwpt:
pt = repr(event["fwPt"][trk_i]).rjust(15)
else:
pt = repr(toHWU("Pt",event["pt"][trk_i])).rjust(15)
if LUTeta:
tanl_int,tanl_frac = toHWU("TanL",event["TanL"][trk_i])
temp_str = TanLUTlines[int(tanl_frac)].split(",")[int(tanl_int)]
if temp_str[0] == '(':
int_eta = int(temp_str[1:])
elif temp_str[-1] == ')':
int_eta = int(temp_str[:-1])
else:
int_eta = int(temp_str)
eta = repr(int_eta).rjust(15)
else:
eta = repr(toHWU("eta",event["eta"][trk_i])).rjust(15)
f.write(str(repr(i).rjust(15)+
repr(toHWU("InvR",event["InvR"][trk_i])).rjust(15)+
repr(toHWU("Phi",event["Sector_Phi"][trk_i])).rjust(15)+
repr(toHWU("TanL",event["TanL"][trk_i])[0]).rjust(15)+
repr(toHWU("TanL",event["TanL"][trk_i])[1]).rjust(15)+
repr(toHWU("Z0",event["z0"][trk_i])[0]).rjust(15)+
repr(toHWU("Z0",event["z0"][trk_i])[1]).rjust(15)+
repr(toHWU("MVA1",event["MVA"][trk_i])).rjust(15)+
repr(toHWU("OtherMVA",event["otherMVA"][trk_i])).rjust(15)+
repr(toHWU("D0",event["d0"][trk_i])[0]).rjust(15)+
repr(toHWU("D0",event["d0"][trk_i])[1]).rjust(15)+
repr(toHWU("Chi2rphi",event["chi2rphi"][trk_i])).rjust(15)+
repr(toHWU("Chi2rz",event["chi2rz"][trk_i])).rjust(15)+
repr(toHWU("Bendchi2",event["bendchi2"][trk_i])).rjust(15)+
repr(toHWU("Hitpattern",event["hitpattern"][trk_i])).rjust(15)+
pt+
eta+"\n"))
total_tracks -= 1
else:
f.write(str(repr(i).rjust(10)[:10]+" "+
repr(event["InvR"][trk_i]).rjust(12)[:12]+" "+
repr(event["Sector_Phi"][trk_i]).rjust(12)[:12]+" "+
repr(math.modf(event["TanL"][trk_i])[1]).rjust(12)[:12]+" "+
repr(math.modf(event["TanL"][trk_i])[0]).rjust(12)[:12]+ " "+
repr(math.modf(event["z0"][trk_i])[1]).rjust(12)[:12]+" "+
repr(math.modf(event["z0"][trk_i])[0]).rjust(12)[:12]+" "+
repr(event["MVA"][trk_i]).rjust(12)[:12]+" "+
repr(event["otherMVA"][trk_i]).rjust(12)[:12]+" "+
repr(math.modf(event["d0"][trk_i])[1]).rjust(12)[:12]+" "+
repr(math.modf(event["d0"][trk_i])[0]).rjust(12)[:12]+" "+
repr(event["chi2rphi"][trk_i]).rjust(12)[:12]+" "+
repr(event["chi2rz"][trk_i]).rjust(12)[:12]+" "+
repr(event["bendchi2"][trk_i]).rjust(12)[:12]+" "+
repr(event["hitpattern"][trk_i]).rjust(12)[:12]+" "+
repr(event["pt"][trk_i]).rjust(12)[:12]+" "+
repr(abs(event["eta"][trk_i])).rjust(12)[:12]+"\n"))
total_tracks -= 1
f.write(str("=================================================================\n"))
list_iter += 1
f.close()
TanLUTf.close()
def nsbh_population(rate, t_min, t_max, f_online, d_min, d_max, h_0,\
q_0, m_min_1, m_max_1, m_mean_1, m_std_1, m_min_2, \
m_max_2, m_mean_2, m_std_2, a_min_1, a_max_1, \
a_min_2, a_max_2, seed=None, sample_z=False, \
redshift_rate=False, uniform_bh_masses=False, \
uniform_ns_masses=False, fixed_count=None, \
aligned_spins=False):
# constrained realisation if desired
if seed is not None:
npr.seed(seed)
# first draw number of events: a Poisson process, with rate
# given by the number of events per year per Gpc^3, the
# duration of observations and the volume
if fixed_count is None:
if sample_z:
z_min = d2z(d_min, h_0, q_0)
z_max = d2z(d_max, h_0, q_0)
vol = volume_z(z_max, z_min, h_0, q_0, \
redshift_rate=redshift_rate)
else:
vol = volume(d_max, d_min, h_0, q_0)
n_per_sec = rate * vol / 365.0 / 24.0 / 3600.0 * f_online
n_exp = n_per_sec * (t_max - t_min)
n_inj = npr.poisson(n_exp)
else:
if sample_z:
z_min = d2z(d_min, h_0, q_0)
z_max = d2z(d_max, h_0, q_0)
n_inj = fixed_count
n_per_sec = fixed_count / (t_max - t_min)
# draw merger times consistent with the expected rate. add a
# check to ensure that the latest merger time is within the
# observation window
times = np.zeros(n_inj)
times[0] = t_min
times[-1] = t_max + 1.0
while times[-1] >= t_max:
delta_times = npr.exponential(1.0 / n_per_sec, n_inj - 1)
for i in range(1, n_inj):
times[i] = times[i - 1] + delta_times[i - 1]
# draw distances via an interpolated CDF
if sample_z:
z_grid = np.linspace(z_min, z_max, 10000)
p_z_grid = volume_z(z_grid, z_min, h_0, q_0, \
redshift_rate=redshift_rate) / \
volume_z(z_max, z_min, h_0, q_0, \
redshift_rate=redshift_rate)
interp = si.interp1d(p_z_grid, z_grid)
redshifts = interp(npr.uniform(size=n_inj))
distances = z2d(redshifts, h_0, q_0)
else:
d_grid = np.linspace(d_min, d_max, 10000)
p_d_grid = volume(d_grid, d_min, h_0, q_0) / \
volume(d_max, d_min, h_0, q_0)
interp = si.interp1d(p_d_grid, d_grid)
distances = interp(npr.uniform(size=n_inj))
# draw inclinations, colatitudes and longitudes
incs = np.arccos(-npr.uniform(-1.0, 1.0, size=n_inj))
colats = np.arcsin(-npr.uniform(-1.0, 1.0, size=n_inj))
longs = npr.uniform(0.0, 2.0 * np.pi, size=n_inj)
# draw masses
if uniform_bh_masses:
m_1s = npr.uniform(m_min_1, m_max_1, size=n_inj)
else:
dist = ss.truncnorm((m_min_1 - m_mean_1) / m_std_1, \
(m_max_1 - m_mean_1) / m_std_1, \
loc=m_mean_1, scale=m_std_1)
m_1s = dist.rvs(n_inj)
if uniform_ns_masses:
m_2s = npr.uniform(m_min_2, m_max_2, size=n_inj)
else:
dist = ss.truncnorm((m_min_2 - m_mean_2) / m_std_2, \
(m_max_2 - m_mean_2) / m_std_2, \
loc=m_mean_2, scale=m_std_2)
m_2s = dist.rvs(n_inj)
# now draw spins: isotropic in direction, uniform in magnitude
spin_amps = npr.uniform(a_min_1, a_max_1, size=n_inj)
spin_colats = np.arccos(-npr.uniform(-1.0, 1.0, size=n_inj))
spin_longs = npr.uniform(0.0, 2.0 * np.pi, size=n_inj)
a_1_xs = spin_amps * np.sin(spin_colats) * np.cos(spin_longs)
a_1_ys = spin_amps * np.sin(spin_colats) * np.sin(spin_longs)
a_1_zs = spin_amps * np.cos(spin_colats)
if aligned_spins:
a_1_xs = 0.0
a_1_ys = 0.0
spin_amps = npr.uniform(a_min_2, a_max_2, size=n_inj)
spin_colats = np.arccos(-npr.uniform(-1.0, 1.0, size=n_inj))
spin_longs = npr.uniform(0.0, 2.0 * np.pi, size=n_inj)
a_2_xs = spin_amps * np.sin(spin_colats) * np.cos(spin_longs)
a_2_ys = spin_amps * np.sin(spin_colats) * np.sin(spin_longs)
a_2_zs = spin_amps * np.cos(spin_colats)
if aligned_spins:
a_2_xs = 0.0
a_2_ys = 0.0
# finally draw isotropic coa_phase and polarization angles
coa_phases = npr.uniform(0.0, 2.0 * np.pi, size=n_inj)
pols = npr.uniform(0.0, 2.0 * np.pi, size=n_inj)
# store in structured array
dtypes = [('simulation_id', 'U256'), ('mass1', float), \
('mass2', float), ('spin1x', float), ('spin1y', float), \
('spin1z', float), ('spin2x', float), \
('spin2y', float), ('spin2z', float), ('redshift', float), \
('distance', float), ('inclination', float), \
('coa_phase', float), ('polarization', float), \
('longitude', float), ('latitude', float), \
('geocent_end_time', int), ('geocent_end_time_ns', int)]
data = np.empty((n_inj, ), dtype=dtypes)
data['simulation_id'] = \
['sim_inspiral:simulation_id:{:d}'.format(i) for i in range(n_inj)]
data['mass1'] = m_1s
data['mass2'] = m_2s
data['spin1x'] = a_1_xs
data['spin1y'] = a_1_ys
data['spin1z'] = a_1_zs
data['spin2x'] = a_2_xs
data['spin2y'] = a_2_ys
data['spin2z'] = a_2_zs
data['redshift'] = redshifts
data['distance'] = distances
data['inclination'] = incs
data['coa_phase'] = coa_phases
data['polarization'] = pols
data['longitude'] = longs
data['latitude'] = colats
data['geocent_end_time'] = [int(math.modf(t)[1]) for t in times]
data['geocent_end_time_ns'] = [int(math.modf(t)[0] * 1e9) for t in times]
return 1.0 / n_per_sec, data
#math module import math print(math.modf(10.21)) print(round(10.62, -2)) .1 + .1 + .1 == .3 round(.1, 1) + round(.1, 1) + round(.1, 1) == round(.3, 1) round(.1 + .1 + .1, 1) == round(.3, 1)
def toBinary(self):
if self.value is True:
return struct.pack('>ll', 0, 1)
fr, sec = math.modf(self.value)
return struct.pack('>ll', long(sec), long(fr * 1e9))
def microtime(get_as_float=False):
if get_as_float:
return time()
else:
return '%f %d' % modf(time())
def fixkey(self, key):
len1 = float(len(self.list))
nkey = key - modf(key / len1)[1] * len1
if nkey < 0: nkey = len1 + nkey
return int(nkey)
file = open(filename, "r")
print("Reading file, this may take a while...")
values = [float(i) for i in file.read().split(" ")]
file.close()
minimum = min(values)
maximum = max(values)
bits = 0
signed = 0
print("Minimum value is :", minimum)
if (float(minimum) < 0 or float(maximum) < 0):
print("This value is below zero, adding sign bit.")
bits += 1
signed = 1
print("Maximum value is :", maximum)
intpart = max(math.modf(abs(minimum))[1], math.modf(maximum)[1])
intbits = 0 if intpart == 0 else math.ceil(math.log2(intpart))
bits += intbits
print("Integer part requires at least " + str(bits) +
" bit(s) (sign included).")
decbits = int(
input("How many bits do you want to use for the decimal part?\n"))
bits += decbits
file = open(filename.strip(".nn") + (".txt"), "w+")
bitstring = ""
for value in values:
temp = value
bitstring = ""
cnt = bits - signed
assert math.gcd(1, 1) == 1 assert math.gcd(-1, 1) == 1 assert math.gcd(1, -1) == 1 assert math.gcd(-1, -1) == 1 assert math.gcd(125, -255) == 5 assert_raises(TypeError, lambda: math.gcd(1.1, 2)) assert math.factorial(0) == 1 assert math.factorial(1) == 1 assert math.factorial(2) == 2 assert math.factorial(3) == 6 assert math.factorial(10) == 3628800 assert math.factorial(20) == 2432902008176640000 assert_raises(ValueError, lambda: math.factorial(-1)) assert math.modf(1.25) == (0.25, 1.0) assert math.modf(-1.25) == (-0.25, -1.0) assert math.modf(2.56) == (0.56, 2.0) assert math.modf(-2.56) == (-0.56, -2.0) assert math.modf(1) == (0.0, 1.0) assert math.modf(INF) == (0.0, INF) assert math.modf(NINF) == (-0.0, NINF) modf_nan = math.modf(NAN) assert math.isnan(modf_nan[0]) assert math.isnan(modf_nan[1]) assert math.fmod(10, 1) == 0.0 assert math.fmod(10, 0.5) == 0.0 assert math.fmod(10, 1.5) == 1.0 assert math.fmod(-10, 1) == -0.0 assert math.fmod(-10, 0.5) == -0.0
import math s = float(input()) s = math.modf(s) print(s)
def get_rate(self, cr, uid, ids, context={}):
"""Calculates the cost of shipping for USPS."""
data = self.browse(cr, uid, ids[0], context=context)
if not (data['rate_selection'] == 'rate_request'
and data['ship_company_code'] == 'fedex'):
return super(shipping_rate_wizard,
self).get_rate(cr, uid, ids, context)
if context.get('active_model', False) == 'sale.order':
# Are we running in test mode?
test = data.logis_company.test_mode or False
# Find the order we're calculating shipping costs on.
sale_id = context.get('active_id', False)
sale = self.pool.get('sale.order').browse(cr,
uid,
sale_id,
context=context)
# Get the shipper and recipient addresses for this order.
address_from = sale.company_id.partner_id
address_to = sale.partner_shipping_id or ''
shipper = Address(address_from.name,
address_from.street,
address_from.city,
address_from.state_id.code,
address_from.zip,
address_from.country_id.name,
address2=address_from.street2)
recipient = Address(address_to.name,
address_to.street,
address_to.city,
address_to.state_id.code,
address_to.zip,
address_to.country_id.name,
address2=address_to.street2)
# Get the package's weight in ounces.
weight = math.modf(sale.total_weight_net)
ounces = (weight[1] * 16) + round(weight[0] * 16, 2)
# Create the Package we are going to send.
package = Package(str(ounces),
data.fedex_container,
data.fedex_length,
data.fedex_width,
data.fedex_height,
mail_class=data.fedex_service_type)
# Connect to the Endicia API.
api = FedEx(fedex_api.get_config(cr, uid, sale, None))
# Ask Endicia what the cost of shipping for this package is.
response = {'status': -1}
try:
response = api.rate([package], shipper, recipient)
except Exception, e:
self.write(cr,
uid, [data.id], {'status_message': str(e)},
context=context)
# Extract the shipping cost from the response, if successful.
if response['status'] == 0:
ship_method_ids = self.pool.get('shipping.rate.config').search(
cr,
uid, [('name', '=', data.fedex_service_type)],
context=context)
ship_method_id = (ship_method_ids
and ship_method_ids[0]) or None
for item in response['info']:
if 'cost' in item:
self.write(cr,
uid, [data.id], {
'status_message': '',
'shipping_cost': item['cost']
},
context=context)
sale.write({
'shipcharge': float(item['cost']) or 0.00,
'ship_method_id': ship_method_id,
'status_message': ''
})
return True
def __truediv__(self,numb):
Fract,Integ=math.modf(1/numb)
return DivStr(self.string*int(Integ)+self.string[0:int(len(self.string)*Fract)])
