def to_stik(mu_1,mu_2,t,sigma_tilde,n_1,n_2): """ t : se efter qt(0.975, df=n-2) sigma_tilde : findes som residual error """ lille = mu_1 - mu_2 - t * sigma_tilde^2*sq(1/n_1 + 1/n_2) stor = mu_1 + mu_2 - t * sigma_tilde^2*sq(1/n_1 + 1/n_2) return lille,stor
def solution(n1, n2):
ans = 0
for i in range(n1, n2 + 1):
if sq(i) == int(sq(i)):
ans -= i
else:
ans += i
return ans
def diag(self):
self._diag.clear()
self._diag.append(
sq((self.points[0][0] - self.points[2][0])**2 +
(self.points[0][1] - self.points[2][1])**2))
self._diag.append(
sq((self.points[1][0] - self.points[3][0])**2 +
(self.points[1][1] - self.points[3][1])**2))
def et_stik(mu,t,sigma_tilde,n): """ det hoejst ssh den med UKENDT varians n : antal i stikproeven t : se efter qt(0.975, df=n-1) sigma_tilde : findes som residual error """ lille = mu - t * sigma_tilde^2/sq(n) stor = mu + t * sigma_tilde^2/sq(n) return lille, stor
def sqrt(num):
try:
a = num.re
b = num.im
alpha = sq((sq(a**2 + b**2) + a) / 2)
beta = sq((sq(a**2 + b**2) - a) / 2)
return Complex(alpha, beta)
except:
return sq(num)
def roots(a, b, c):
delta = (b**2) - (4 * a * c)
if delta < 0:
return ()
elif delta == 0:
return (-b / (2 * a))
else:
x = (-b + sq(delta)) / (2 * a)
y = (-b - sq(delta)) / (2 * a)
return (y, x)
def linreg_beta(beta_hat,n,t,sigma_tilde,var_x): """ alpha_hat = er intercepten n : antal i alt t : se efter qt(0.975, df=n -2) sigma_tilde : brug betas sd """ ssd_x = (n-1)*var_x lille = beta_hat - t * sigma_tilde^2/sq(ssd_x) stor = beta_hat + t * sigma_tilde^2/sq(ssd_x) return lille, stor
def test_solution():
import solution
from math import sqrt as sq
vector_a = solution.Vector3D(1, 5, 3)
vector_b = solution.Vector3D(4, 4, 1)
vector_c = solution.Vector3D(1, 5, 2)
assert vector_a.magnitude() == sq(35)
assert vector_b.magnitude() == sq(33)
assert vector_c.magnitude() == sq(30)
def linreg_alpha(alpha_hat,n,t,sigma_tilde,var_x,mean_x): """ alpha_hat = er intercepten n : antal i stikproeven t : se efter qt(0.975, df=n-2) sigma_tilde : brug alphas sd """ ssd_x = (n-1)*var_x lille = alpha_hat -t * sq(1/n + mean_x**2/ssd_x) stor = alpha_hat -t * sq(1/n + mean_x**2/ssd_x) return lille, stor
def selesaikanABC(a, b, c):
a = float(a)
b = float(b)
c = float(c)
D = b**2 - 4 * a * c
if D < 0:
hasil = "Determinannya negatif. Persamaan tidak mempunyai akar real."
else:
x1 = (-b + sq(D)) / (2 * a)
x2 = (-b - sq(D)) / (2 * a)
hasil = (x1, x2)
return str(hasil)
def selesaikanABC(a, b, c):
a = float(a)
b = float(b)
c = float(c)
D = (b**2) - (4 * a * c)
if (D < 0):
print("Determinannya negatif. Persamaan tidak mempunyai akar real")
else:
x1 = (-b + sq(D)) / (2 * a)
x2 = (-b - sq(D)) / (2 * a)
hasil = [x1, x2]
print(hasil)
def selesaikanABC(r, s, t):
r = float(r)
s = float(s)
t = float(t)
D = (s**2) - (4 * r * t)
if (D < 0):
print("Determinannya negatif. Persamaan tidak mempunyai akar real")
else:
j1 = (-s + sq(D)) / (2 * r)
j2 = (-s - sq(D)) / (2 * r)
hasil = [j1, j2]
print(hasil)
def selesaikanABC(a, b, c):
a = float(a)
b = float(b)
c = float(c)
D = (b**2) - (4 * a * c)
if D < 0:
return "Determinannya negatif. Persamaan tidak mempunyai akar real"
else:
x1 = (-b + sq(D)) / 2 * a
x2 = (-b - sq(D)) / 2 * a
hasil = (x1, x2)
return hasil
def circumCircle(p1, p2, p3):
"""circumCircle(p1, p2, p3) -> (Vector2, float)
Returns the center and radius of the circumcircle of the given
three points."""
p1sm = squaredNorm(p1)
x1 = p1[0]
y1 = p1[1]
p2sm = squaredNorm(p2)
x2 = p2[0]
y2 = p2[1]
p3sm = squaredNorm(p3)
x3 = p3[0]
y3 = p3[1]
a = numpy.linalg.det(
numpy.array([[x1, y1, 1],
[x2, y2, 1],
[x3, y3, 1]]))
d = numpy.linalg.det(
-numpy.array([[p1sm, y1, 1],
[p2sm, y2, 1],
[p3sm, y3, 1]]))
e = numpy.linalg.det(
numpy.array([[p1sm, x1, 1],
[p2sm, x2, 1],
[p3sm, x3, 1]]))
f = numpy.linalg.det(
-numpy.array([[p1sm, x1, y1],
[p2sm, x2, y2],
[p3sm, x3, y3]]))
circumCenter = Vector2(-d/(2*a), -e/(2*a))
denom = 4*math.sq(a) - f/a
circumRadius2 = (math.sq(d) + math.sq(e)) / (4*math.sq(a)) - f/a
if circumRadius2 > 0:
circumRadius = math.sqrt(circumRadius2)
else:
lengths = [(p2-p1).magnitude(),
(p3-p2).magnitude(),
(p1-p3).magnitude()]
lengths.sort()
circumRadius = (lengths[1] + lengths[2]) / 4.0
sys.stderr.write("circumcircle: side lengths^2 are %s -> improvised radius = %s\n"
% (lengths, circumRadius))
return circumCenter, circumRadius
def circumCircle(p1, p2, p3):
"""circumCircle(p1, p2, p3) -> (Vector2, float)
Returns the center and radius of the circumcircle of the given
three points."""
p1sm = squaredNorm(p1)
x1 = p1[0]
y1 = p1[1]
p2sm = squaredNorm(p2)
x2 = p2[0]
y2 = p2[1]
p3sm = squaredNorm(p3)
x3 = p3[0]
y3 = p3[1]
a = numpy.linalg.det(
numpy.array([[x1, y1, 1],
[x2, y2, 1],
[x3, y3, 1]]))
d = numpy.linalg.det(
-numpy.array([[p1sm, y1, 1],
[p2sm, y2, 1],
[p3sm, y3, 1]]))
e = numpy.linalg.det(
numpy.array([[p1sm, x1, 1],
[p2sm, x2, 1],
[p3sm, x3, 1]]))
f = numpy.linalg.det(
-numpy.array([[p1sm, x1, y1],
[p2sm, x2, y2],
[p3sm, x3, y3]]))
circumCenter = Vector2(-d/(2*a), -e/(2*a))
denom = 4*math.sq(a) - f/a
circumRadius2 = (math.sq(d) + math.sq(e)) / (4*math.sq(a)) - f/a
if circumRadius2 > 0:
circumRadius = math.sqrt(circumRadius2)
else:
lengths = [(p2-p1).magnitude(),
(p3-p2).magnitude(),
(p1-p3).magnitude()]
lengths.sort()
circumRadius = (lengths[1] + lengths[2]) / 4.0
sys.stderr.write("circumcircle: side lengths^2 are %s -> improvised radius = %s\n"
% (lengths, circumRadius))
return circumCenter, circumRadius
def do():
size = 20
numgens = 50
pertf = lambda x:0.5/sq(x)
l = [Columns.rand() for i in range(size)]
print()
[print(n) for n in l]
print()
gen = 1
gens = []
t = []
for n in l:
t.append(n)
gens.append(t)
while gen<numgens:
Columns.sort(l)
[l.pop(-1) for i in range(int(size/2))]
pert = pertf(gen)
ll = []
for i in range(len(l)-1):
ll.append(Columns.merge(l[i],l[i+1],pert))
ll.append(Columns.merge(l[len(l)-1],l[0],pert))
l.extend(ll)
print()
print("Gen",gen,"done.")
[print(n) for n in l]
print()
t = []
for n in l:
t.append(n)
gens.append(t)
gen+=1
def button_equal():
second_number = float(e.get())
e.delete(0, END)
if math == "addition":
e.insert(0, f_num + second_number)
elif math == "subtraction":
e.insert(0, f_num - int(second_number))
elif math == "division":
e.insert(0, round(f_num / int(second_number), 4))
elif math == "multiplication":
e.insert(0, f_num * int(second_number))
elif math == "exponent":
e.insert(0, f_num**int(second_number))
elif math == "modulus":
e.insert(0, f_num % int(second_number))
elif math == "square_root":
e.insert(sq(0, f_num))
elif math == "floor_division":
e.insert(0, f_num // int(second_number))
elif math == "inverse":
e.insert(0, pow(f_num, -1))
elif math == "dot":
e.insert(0, float(f_num))
else:
e.insert(0, float(f_num))
def dc(s, e):
r = float("3.141592653589793238462643383279502884197169399375105820974944"
"592307816406286208998628034825342117067982148086513282306647"
"093844609550582231725359408128481117450284102701938521105559"
"644622948954930381964428810975665933446128475648233786783165"
"271201909145648566923460348610454326648213393607260249141273"
"724587006606315588174881520920962829254091715364367892590360"
"011330530548820466521384146951941511609433057270365759591953"
"092186117381932611793105118548074462379962749567351885752724"
"891227938183011949129833673362440656643086021394946395224737"
"190702179860943702770539217176293176752384674818467669405132"
"000568127145263560827785771342757789609173637178721468440901"
"224953430146549585371050792279689258923542019956112129021960"
"864034418159813629774771309960518707211349999998372978049951"
"059731732816096318595024459455346908302642522308253344685035"
"261931188171010003137838752886587533208381420617177669147303"
"598253490428755468731159562863882353787593751957781857780532"
"1712268066130019278766111959092164201989") / 180.
r_start = (s[0] * r, s[1] * r)
r_end = (e[0] * r, e[1] * r)
cl1 = co(r_start[0])
cl2 = co(r_end[0])
sl1 = si(r_start[0])
sl2 = si(r_end[0])
dt = r_end[1] - r_start[1]
cdt = co(dt)
sdt = si(dt)
return int(
at(sq(pw(cl2 * sdt, 2) + pw(cl1 * sl2 - sl1 * cl2 * cdt, 2)),
sl1 * sl2 + cl1 * cl2 * cdt) * 6372795)
def dc(s, e):
r = float("3.141592653589793238462643383279502884197169399375105820974944"
"592307816406286208998628034825342117067982148086513282306647"
"093844609550582231725359408128481117450284102701938521105559"
"644622948954930381964428810975665933446128475648233786783165"
"271201909145648566923460348610454326648213393607260249141273"
"724587006606315588174881520920962829254091715364367892590360"
"011330530548820466521384146951941511609433057270365759591953"
"092186117381932611793105118548074462379962749567351885752724"
"891227938183011949129833673362440656643086021394946395224737"
"190702179860943702770539217176293176752384674818467669405132"
"000568127145263560827785771342757789609173637178721468440901"
"224953430146549585371050792279689258923542019956112129021960"
"864034418159813629774771309960518707211349999998372978049951"
"059731732816096318595024459455346908302642522308253344685035"
"261931188171010003137838752886587533208381420617177669147303"
"598253490428755468731159562863882353787593751957781857780532"
"1712268066130019278766111959092164201989") / 180.
r_start = (s[0] * r, s[1] * r)
r_end = (e[0] * r, e[1] * r)
cl1 = co(r_start[0])
cl2 = co(r_end[0])
sl1 = si(r_start[0])
sl2 = si(r_end[0])
dt = r_end[1] - r_start[1]
cdt = co(dt)
sdt = si(dt)
return int(at(sq(pw(cl2 * sdt, 2) + pw(cl1 * sl2 - sl1 * cl2 * cdt, 2)),
sl1 * sl2 + cl1 * cl2 * cdt) * 6372795)
def isprime(n):
prime = True
ls = int(sq(n))
for i in range(2, ls + 1):
if n % i == 0:
prime = False
break
return prime
def d_cor(a, b):
#a,b pairwise distance matrices of equal size
dvar_a = paired_sample_covar(a, a)
dvar_b = paired_sample_covar(b, b)
if dvar_a * dvar_b == 0:
return (0)
dcor = (paired_sample_covar(a, b)) / sq(dvar_a * dvar_b)
return (dcor)
def apakahPrima(n):
n = int(n)
assert n >= 0
primaKecil = [2, 3, 5, 7, 11]
bukanPrKecil = [0, 1, 4, 6, 8, 9, 10]
if n in primaKecil:
return True
elif n in bukanPrKecil:
return False
else:
for i in range(2, int(sq(n)) + 1):
if ((n % i) == 0):
return False
elif (i >= int(sq(n))):
return True
else:
continue
def sides(self):
self._sides.clear()
ln = len(self.points)
for i in range(ln):
j = i + 1 if i != ln - 1 else 0
self._sides.append(
sq((self.points[i][0] - self.points[j][0])**2 +
(self.points[i][1] - self.points[j][1])**2))
def prime(x):
x = int(x)
assert x >= 0
sp = [2, 3, 5, 7, 11]
nsp = [0, 1, 4, 6, 8, 9, 10]
if x in sp:
return True
elif x in nsp:
return False
else:
for i in range(2, int(sq(x)) + 1):
if ((x % i) == 0):
return False
elif (i >= int(sq(x))):
return True
else:
continue
def sqrt(self):
calc_logger.info(f'Called sqrt func with attr {self.num}')
try:
result = sq(self.num)
except ValueError:
calc_logger.critical(f'Value {self.num} forbidden for this operation')
result = f'Value {self.num} forbidden for this operation'
return result
def main():
fi = (1 + sq(5)) / 2
k = 2
while abs(fi - fibo(k) / fibo(k - 1)) > 0.00000000001:
print k
k += 1
print "lo logre despues de %d vueltas" % k
print "la aproximacion de %.7f es %.7f" % (fi, fibo(k) / fibo(k - 1))
def area(self):
if self.is_trap():
return round(
((self._sides[self._osn[0]] + self._sides[self._osn[1]]) / 2) *
sq(self._sides[self._osn[0] + 1]**2 -
((self._sides[self._osn[0]] -
self._sides[self._osn[1]])**2) / 4), 2)
else:
return False
def check(n):
if n == 2 or n == 3 or n == 4:
return True
if n % 2 == 0:
return False
for i in range(2, int(sq(n) + 1), 2):
if n % i == 0:
return False
return True
def compute(n):
l = defaultdict(lambda: 0)
a0 = int(sq(n))
b0 = sq(n) - a0
a1 = int(1 / b0)
b1 = 1 / b0 - a1
temp = b1
l[n] = 1
flag = True
while flag:
a2 = int(1 / b1)
b2 = 1 / b1 - a2
if round(Decimal(b2), 6) == round(Decimal(temp), 6):
flag = False
return l
b1 = b2
l[n] += 1
def apakahPrima(x):
n = int(x)
assert n >= 0
if n in [2, 3, 5, 7, 11]:
return True
elif n in [0, 1, 4, 6, 8, 9, 10]:
return False
else:
for i in range(2, int(sq(n) + 1)):
if n % i == 0:
return False
return True
def func_count(start, step):
m = start
my_list = []
i = 0
for el in count(start):
i += 1
if i > sq(el):
break
else:
my_list.append(el)
print(el)
return my_list
def cholesky(A):
n = len(A)
L = np.zeros(shape = (n,n))
for i in range(n):
for k in range(i+1):
ksuma = sum( L[i][j] * L[k][j] for j in range(k) )
if (i == k):
L[i][k] = sq(abs( A[i][i] - ksuma ))
else:
L[i][k] = (( 1.0 / L[k][k] ) * ( A[i][k] - ksuma ))
return np.asarray(L)
def apakahPrima(n):
n = int(n)
assert n >= 0 #hanya menerima bilangan non-negatif
primaKecil = [2, 3, 5, 7, 11]
bukanPrKecil = [0, 1, 4, 6, 8, 9, 10]
if n in primaKecil:
return True
elif n in bukanPrKecil:
return False
else:
for i in range(2, int(sq(n)) + 1):
if n % i == 0:
return False
return True
def apakahPrima(x):
x = int(x)
primaKecil = [2, 3, 5, 7, 11]
bknPrimaKecil = [0, 1, 4, 6, 8, 9, 10]
if x in primaKecil:
return True
elif x in bknPrimaKecil:
return False
else:
for i in range(2, int(sq(x)) + 1):
if x % i == 0:
return False
else:
return True
def cholesky(A):
n = len(A)
L = np.zeros(shape=(n, n))
for i in range(n):
for k in range(i + 1):
ksuma = sum(L[i][j] * L[k][j] for j in range(k))
if (i == k):
L[i][k] = sq(abs(A[i][i] - ksuma))
else:
L[i][k] = ((1.0 / L[k][k]) * (A[i][k] - ksuma))
return np.asarray(L)
def apakahPrima(n):
n = int(n)
assert n >= 0
primakecil = [2, 3, 5, 7, 11]
bukanprima = [0, 1, 4, 6, 8, 9, 10]
if n in primakecil:
return True
elif n in bukanprima:
return False
else:
for i in range(2, int(sq(n)) + 1):
if (n % i == 0):
return False
return True
def compute(n, m):
l = []
a0 = int(sq(n))
b0 = sq(n) - a0
a1 = int(1 / b0)
b1 = 1 / b0 - a1
temp = b1
flag = True
count = 0
while flag:
a2 = int(1 / b1)
b2 = 1 / b1 - a2
print(a2, b2)
count += 1
if count == m:
flag = False
return l
l.append(a2)
b1 = b2
def Npr(n,t): #Privedenie mownosti dvigatelya return n*sq(288.15/(t+273.15))
def cef(n,t): #Rasprivedenie ydelnogo rasxoda topliva dvigatelya return n*sq((t+273.15)/288.15)
def cef(n,t): #Расприведение удельного расхода топлива двигателя return n*sq((t+273.15)/288.15)
def nf(n,t): #Расприведение частоты вращения двигателя return n*sq((t+273.15)/288.15)
def Nf(n,t): #Расприведение мощности двигателя return n*sq((t+273.15)/288.15)
def Gvf(n,t,B): #Расприведение расхода воздуха двигателя return n*(B/760)*sq(288.15/(t+273.15))
def Nf(n,t): #Rasprivedenie mownosti dvigatelya return n*sq((t+273.15)/288.15)
def cepr(n,t): #Privedenie ydelnogo rasxoda topliva dvigatelya return n*sq(288.15/(t+273.15))
def Nctpr(n,t,B): #Privedenie mownosti silovoi tyrbini dvigatelya return n*sq(288.15/(t+273.15))*(760.0/B)
def npr(n,t): #Privedenie chastoti vraweniya dvigatelya return n*sq(288.15/(t+273.15))
def Gvpr(n,t,B): #Privedenie rasxoda vozdyxa dvigatelya return n*(760.0/B)*sq((t+273.15)/288.15)
def Gtpr(n,t,B): #Privedenie rasxoda topliva dvigatelya return n*(760.0/B)*sq(288.15/(t+273.15))
def markAlphaShapes(delaunayMap, alpha, beta = 0.0):
if not hasattr(delaunayMap, "circumCircles"):
print "- reconstructing triangle circumcircles..."
delaunayMap.circumCircles = \
delaunay.calculateTriangleCircumcircles(delaunayMap)
# store parameters for convenience:
delaunayMap.alpha = alpha
delaunayMap.beta = beta
print "- marking triangles with radii < alpha(%s)..." % (alpha, )
for triangle in delaunayMap.faceIter(skipInfinite = True):
triangle.setFlag(
ALPHA_MARK, delaunayMap.circumCircles[triangle.label()][1] < alpha)
print "- marking edges with empty circle radii < alpha(%s)..." % (alpha, )
for edge in delaunayMap.edgeIter():
assert len(edge) == 2, "markAlphaShapes() expects a delaunay map!"
edge.setFlag(ALPHA_MARK,
edge.leftFace().flag(ALPHA_MARK) or
edge.rightFace().flag(ALPHA_MARK))
if edge.flag(ALPHA_MARK):
continue
radius = edge.length()/2
if radius < alpha:
radius2 = math.sq(radius)
p1 = edge[0]
p2 = edge[1]
midPoint = (p1 + p2)/2
if (squaredNorm(edge.dart().nextSigma()[1]-midPoint) >= radius2 and
squaredNorm(edge.dart().nextAlpha().nextSigma()[1]-midPoint) >= radius2):
edge.setFlag(ALPHA_MARK)
print " %d/%d edges and %d/%d faces marked." % (
sum([edge.flag(ALPHA_MARK) and 1 or 0 for edge in delaunayMap.edgeIter()]), delaunayMap.edgeCount,
sum([face.flag(ALPHA_MARK) and 1 or 0 for face in delaunayMap.faceIter()]), delaunayMap.faceCount)
print "- finding connected components of unlabelled cells..."
edgeComponent = [None] * delaunayMap.maxEdgeLabel()
faceComponent = [None] * delaunayMap.maxFaceLabel()
componentCount = 0
for edge in delaunayMap.edgeIter():
if edge.flag(ALPHA_MARK) or edgeComponent[edge.label()]:
continue
componentCount += 1
boundary = [edge]
while boundary:
cell = boundary.pop()
if hasattr(cell, "leftFace"):
edge = cell
if edge.flag(ALPHA_MARK) or edgeComponent[edge.label()]:
continue
edgeComponent[edge.label()] = componentCount
boundary.append(edge.leftFace())
boundary.append(edge.rightFace())
else:
face = cell
if face.flag(ALPHA_MARK) or faceComponent[face.label()]:
continue
faceComponent[face.label()] = componentCount
for dart in face.contour().phiOrbit():
boundary.append(dart.edge())
for face in delaunayMap.faceIter():
if face.flag(ALPHA_MARK) or faceComponent[face.label()]:
continue
componentCount += 1
faceComponent[face.label()] = componentCount
print " %s unlabelled components found." % (componentCount, )
if not beta:
return edgeComponent
print "- looking for unmarked triangles with radii >= beta (%s)..." % (
beta, )
badComponent = [True] * (componentCount+1)
for face in delaunayMap.faceIter(skipInfinite = True):
if face.flag(ALPHA_MARK):
continue
if delaunayMap.circumCircles[face.label()][1] >= beta:
badComponent[faceComponent[face.label()]] = False
for label in range(1, componentCount+1):
if badComponent[label]:
print " marking connected component %d." % (
label, )
componentCount -= 1
for edge in delaunayMap.edgeIter():
if not edge.flag(ALPHA_MARK):
edge.setFlag(ALPHA_MARK, badComponent[edgeComponent[edge.label()]])
for face in delaunayMap.faceIter(skipInfinite = True):
if not face.flag(ALPHA_MARK):
face.setFlag(ALPHA_MARK, badComponent[faceComponent[face.label()]])
print " %s unlabelled components left." % (componentCount, )
return componentCount
def magnitude(U):
S = 0
for e in U:
S += e*e
mU = sq(S)
return mU
def Gtf(n,t,B): #Rasprivedenie rasxoda topliva dvigatelya return n*(B/760.0)*sq((t+273.15)/288.15)
def Gtf(n,t,B): #Расприведение расхода топлива двигателя return n*(B/760)*sq((t+273.15)/288.15)
def cepr(n,t): #Приведение удельного расхода топлива двигателя return n*sq(288.15/(t+273.15))
def Gvf(n,t,B): #Rasprivedenie rasxoda vozdyxa dvigatelya return n*(B/760.0)*sq(288.15/(t+273.15))
def Nctf(n,t,B): #Расприведение мощности силовой турбины двигателя return n*sq((t+273.15)/288.15)*(B/760)
def dpi(w,h,d): return sq(w**2+h**2)/(d*1.0)
def nf(n,t): #Rasprivedenie chastoti vraweniya dvigatelya return n*sq((t+273.15)/288.15)
def Nctf(n,t,B): #Rasprivedenie mownosti silovoi tyrbini dvigatelya return n*sq((t+273.15)/288.15)*(B/760.0)
def Npr(n,t): #Приведение мощности двигателя return n*sq(288.15/(t+273.15))
