def intersection(self, o):
if isinstance(o, Circle):
dx,dy = o.center - self.center
d = sqrt( simplify(dy**2 + dx**2) )
a = simplify((self.radius**2 - o.radius**2 + d**2) / (2*d))
x2 = self.center[0] + (dx * a/d)
y2 = self.center[1] + (dy * a/d)
h = sqrt( simplify(self.radius**2 - a**2) )
rx = -dy * (h/d)
ry = dx * (h/d)
xi_1 = simplify(x2 + rx)
xi_2 = simplify(x2 - rx)
yi_1 = simplify(y2 + ry)
yi_2 = simplify(y2 - ry)
ret = [Point(xi_1, yi_1)]
if xi_1 != xi_2 or yi_1 != yi_2:
ret.append(Point(xi_2, yi_2))
return ret
elif isinstance(o, Ellipse):
a, b, r = o.hradius, o.vradius, self.radius
x = a*sqrt(simplify((r**2 - b**2)/(a**2 - b**2)))
y = b*sqrt(simplify((a**2 - r**2)/(a**2 - b**2)))
return list(set([Point(x,y), Point(x,-y), Point(-x,y), Point(-x,-y)]))
return Ellipse.intersection(self, o)
def __new__(
cls, center=None, hradius=None, vradius=None, eccentricity=None,
**kwargs):
hradius = sympify(hradius)
vradius = sympify(vradius)
eccentricity = sympify(eccentricity)
if center is None:
center = Point(0, 0)
else:
center = Point(center, dim=2)
if len(center) != 2:
raise ValueError('The center of "{0}" must be a two dimensional point'.format(cls))
if len(list(filter(None, (hradius, vradius, eccentricity)))) != 2:
raise ValueError('Exactly two arguments of "hradius", '
'"vradius", and "eccentricity" must not be None."')
if eccentricity is not None:
if hradius is None:
hradius = vradius / sqrt(1 - eccentricity**2)
elif vradius is None:
vradius = hradius * sqrt(1 - eccentricity**2)
if hradius == vradius:
return Circle(center, hradius, **kwargs)
return GeometryEntity.__new__(cls, center, hradius, vradius, **kwargs)
def swinnerton_dyer_poly(n, x=None, **args):
"""Generates n-th Swinnerton-Dyer polynomial in `x`. """
if n <= 0:
raise ValueError(
"can't generate Swinnerton-Dyer polynomial of order %s" % n)
if x is not None:
x, cls = sympify(x), Poly
else:
x, cls = Dummy('x'), PurePoly
p, elts = 2, [[x, -sqrt(2)],
[x, sqrt(2)]]
for i in xrange(2, n + 1):
p, _elts = nextprime(p), []
neg_sqrt = -sqrt(p)
pos_sqrt = +sqrt(p)
for elt in elts:
_elts.append(elt + [neg_sqrt])
_elts.append(elt + [pos_sqrt])
elts = _elts
poly = []
for elt in elts:
poly.append(Add(*elt))
if not args.get('polys', False):
return Mul(*poly).expand()
else:
return PurePoly(Mul(*poly), x)
def _cholesky(self, hermitian=True):
"""Helper function of cholesky.
Without the error checks.
To be used privately.
Implements the Cholesky-Banachiewicz algorithm.
Returns L such that L*L.H == self if hermitian flag is True,
or L*L.T == self if hermitian is False.
"""
L = zeros(self.rows, self.rows)
if hermitian:
for i in range(self.rows):
for j in range(i):
L[i, j] = (1 / L[j, j])*expand_mul(self[i, j] -
sum(L[i, k]*L[j, k].conjugate() for k in range(j)))
Lii2 = expand_mul(self[i, i] -
sum(L[i, k]*L[i, k].conjugate() for k in range(i)))
if Lii2.is_positive is False:
raise ValueError("Matrix must be positive-definite")
L[i, i] = sqrt(Lii2)
else:
for i in range(self.rows):
for j in range(i):
L[i, j] = (1 / L[j, j])*(self[i, j] -
sum(L[i, k]*L[j, k] for k in range(j)))
L[i, i] = sqrt(self[i, i] -
sum(L[i, k]**2 for k in range(i)))
return self._new(L)
def test_root():
from sympy.abc import x
n = Symbol('n', integer=True)
k = Symbol('k', integer=True)
assert root(2, 2) == sqrt(2)
assert root(2, 1) == 2
assert root(2, 3) == 2**Rational(1, 3)
assert root(2, 3) == cbrt(2)
assert root(2, -5) == 2**Rational(4, 5)/2
assert root(-2, 1) == -2
assert root(-2, 2) == sqrt(2)*I
assert root(-2, 1) == -2
assert root(x, 2) == sqrt(x)
assert root(x, 1) == x
assert root(x, 3) == x**Rational(1, 3)
assert root(x, 3) == cbrt(x)
assert root(x, -5) == x**Rational(-1, 5)
assert root(x, n) == x**(1/n)
assert root(x, -n) == x**(-1/n)
assert root(x, n, k) == x**(1/n)*(-1)**(2*k/n)
def test_issue_3891():
x = Symbol("x")
a = Symbol("a")
b = Symbol("b")
assert (sqrt(a + b * x + x ** 2)).series(x, 0, 3).removeO() == b * x / (2 * sqrt(a)) + x ** 2 * (
1 / (2 * sqrt(a)) - b ** 2 / (8 * a ** (S(3) / 2))
) + sqrt(a)
def test_power_rewrite_exp():
assert (I**I).rewrite(exp) == exp(-pi/2)
expr = (2 + 3*I)**(4 + 5*I)
assert expr.rewrite(exp) == exp((4 + 5*I)*(log(sqrt(13)) + I*atan(S(3)/2)))
assert expr.rewrite(exp).expand() == \
169*exp(5*I*log(13)/2)*exp(4*I*atan(S(3)/2))*exp(-5*atan(S(3)/2))
assert ((6 + 7*I)**5).rewrite(exp) == 7225*sqrt(85)*exp(5*I*atan(S(7)/6))
expr = 5**(6 + 7*I)
assert expr.rewrite(exp) == exp((6 + 7*I)*log(5))
assert expr.rewrite(exp).expand() == 15625*exp(7*I*log(5))
assert Pow(123, 789, evaluate=False).rewrite(exp) == 123**789
assert (1**I).rewrite(exp) == 1**I
assert (0**I).rewrite(exp) == 0**I
expr = (-2)**(2 + 5*I)
assert expr.rewrite(exp) == exp((2 + 5*I)*(log(2) + I*pi))
assert expr.rewrite(exp).expand() == 4*exp(-5*pi)*exp(5*I*log(2))
assert ((-2)**S(-5)).rewrite(exp) == (-2)**S(-5)
x, y = symbols('x y')
assert (x**y).rewrite(exp) == exp(y*log(x))
assert (7**x).rewrite(exp) == exp(x*log(7), evaluate=False)
assert ((2 + 3*I)**x).rewrite(exp) == exp(x*(log(sqrt(13)) + I*atan(S(3)/2)))
assert (y**(5 + 6*I)).rewrite(exp) == exp(log(y)*(5 + 6*I))
assert all((1/func(x)).rewrite(exp) == 1/(func(x).rewrite(exp)) for func in
(sin, cos, tan, sec, csc, sinh, cosh, tanh))
def eval(cls, arg):
arg = sympify(arg)
if arg.is_Number:
if arg is S.NaN:
return S.NaN
elif arg is S.Infinity:
return S.Infinity
elif arg is S.NegativeInfinity:
return S.Infinity
elif arg is S.Zero:
return S.One
elif arg.is_negative:
return cls(-arg)
else:
i_coeff = arg.as_coefficient(S.ImaginaryUnit)
if i_coeff is not None:
return C.cos(i_coeff)
else:
coeff, terms = arg.as_coeff_terms()
if coeff.is_negative:
return cls(-arg)
if isinstance(arg, asinh):
return sqrt(1+arg.args[0]**2)
if isinstance(arg, acosh):
return arg.args[0]
if isinstance(arg, atanh):
return 1/sqrt(1-arg.args[0]**2)
def eval(cls, n, m, z=None):
if z is not None:
n, z, m = n, m, z
k = 2 * z / pi
if n == S.Zero:
return elliptic_f(z, m)
elif n == S.One:
return elliptic_f(z, m) + (sqrt(1 - m * sin(z) ** 2) * tan(z) - elliptic_e(z, m)) / (1 - m)
elif k.is_integer:
return k * elliptic_pi(n, m)
elif m == S.Zero:
return atanh(sqrt(n - 1) * tan(z)) / sqrt(n - 1)
elif n == m:
return elliptic_f(z, n) - elliptic_pi(1, z, n) + tan(z) / sqrt(1 - n * sin(z) ** 2)
elif n in (S.Infinity, S.NegativeInfinity):
return S.Zero
elif m in (S.Infinity, S.NegativeInfinity):
return S.Zero
elif z.could_extract_minus_sign():
return -elliptic_pi(n, -z, m)
else:
if n == S.Zero:
return elliptic_k(m)
elif n == S.One:
return S.ComplexInfinity
elif m == S.Zero:
return pi / (2 * sqrt(1 - n))
elif m == S.One:
return -S.Infinity / sign(n - 1)
elif n == m:
return elliptic_e(n) / (1 - n)
elif n in (S.Infinity, S.NegativeInfinity):
return S.Zero
elif m in (S.Infinity, S.NegativeInfinity):
return S.Zero
def eval(cls, arg):
if arg.is_Number:
if arg is S.NaN:
return S.NaN
elif arg is S.Infinity:
return S.Infinity
elif arg.is_Integer:
if arg.is_positive:
return C.factorial(arg - 1)
else:
return S.ComplexInfinity
elif arg.is_Rational:
if arg.q == 2:
n = abs(arg.p) // arg.q
if arg.is_positive:
k, coeff = n, S.One
else:
n = k = n + 1
if n & 1 == 0:
coeff = S.One
else:
coeff = S.NegativeOne
for i in range(3, 2 * k, 2):
coeff *= i
if arg.is_positive:
return coeff * sqrt(S.Pi) / 2 ** n
else:
return 2 ** n * sqrt(S.Pi) / coeff
def eval(cls, arg):
arg = sympify(arg)
if arg.is_Number:
if arg is S.NaN:
return S.NaN
elif arg is S.Infinity:
return S.One
elif arg is S.NegativeInfinity:
return S.NegativeOne
elif arg is S.Zero:
return S.Zero
elif arg.is_negative:
return -cls(-arg)
else:
i_coeff = arg.as_coefficient(S.ImaginaryUnit)
if i_coeff is not None:
return S.ImaginaryUnit * C.tan(i_coeff)
else:
coeff, terms = arg.as_coeff_terms()
if coeff.is_negative:
return -cls(-arg)
if isinstance(arg, asinh):
x = arg.args[0]
return x/sqrt(1+x**2)
if isinstance(arg, acosh):
x = arg.args[0]
return sqrt(x-1) * sqrt(x+1) / x
if isinstance(arg, atanh):
return arg.args[0]
def swinnerton_dyer_poly(n, x=None, **args):
"""Generates n-th Swinnerton-Dyer polynomial in `x`. """
from numberfields import minimal_polynomial
if n <= 0:
raise ValueError(
"can't generate Swinnerton-Dyer polynomial of order %s" % n)
if x is not None:
sympify(x)
else:
x = Dummy('x')
if n > 3:
p = 2
a = [sqrt(2)]
for i in xrange(2, n + 1):
p = nextprime(p)
a.append(sqrt(p))
return minimal_polynomial(Add(*a), x, polys=args.get('polys', False))
if n == 1:
ex = x**2 - 2
elif n == 2:
ex = x**4 - 10*x**2 + 1
elif n == 3:
ex = x**8 - 40*x**6 + 352*x**4 - 960*x**2 + 576
if not args.get('polys', False):
return ex
else:
return PurePoly(ex, x)
def test_issue_6990():
x = Symbol('x')
a = Symbol('a')
b = Symbol('b')
assert (sqrt(a + b*x + x**2)).series(x, 0, 3).removeO() == \
b*x/(2*sqrt(a)) + x**2*(1/(2*sqrt(a)) - \
b**2/(8*a**(S(3)/2))) + sqrt(a)
def intersection(self, o):
if isinstance(o, Circle):
if o.center == self.center:
if o.radius == self.radius:
return o
return []
dx,dy = o.center - self.center
d = sqrt( simplify(dy**2 + dx**2) )
R = o.radius + self.radius
if d > R or d < abs(self.radius - o.radius):
return []
a = simplify((self.radius**2 - o.radius**2 + d**2) / (2*d))
x2 = self.center[0] + (dx * a/d)
y2 = self.center[1] + (dy * a/d)
h = sqrt( simplify(self.radius**2 - a**2) )
rx = -dy * (h/d)
ry = dx * (h/d)
xi_1 = simplify(x2 + rx)
xi_2 = simplify(x2 - rx)
yi_1 = simplify(y2 + ry)
yi_2 = simplify(y2 - ry)
ret = [Point(xi_1, yi_1)]
if xi_1 != xi_2 or yi_1 != yi_2:
ret.append(Point(xi_2, yi_2))
return ret
return Ellipse.intersection(self, o)
def test_issue350():
#test if powers are simplified correctly
#see also issue 896
x = Symbol('x')
assert ((x**Rational(1,3))**Rational(2)) == x**Rational(2,3)
assert ((x**Rational(3))**Rational(2,5)) == (x**Rational(3))**Rational(2,5)
a = Symbol('a', real=True)
b = Symbol('b', real=True)
assert (a**2)**b == (abs(a)**b)**2
assert sqrt(1/a) != 1/sqrt(a) # e.g. for a = -1
assert (a**3)**Rational(1,3) != a
assert (x**a)**b != x**(a*b) # e.g. x = -1, a=2, b=1/2
assert (x**.5)**b == x**(.5*b)
assert (x**.5)**.5 == x**.25
assert (x**2.5)**.5 != x**1.25 # e.g. for x = 5*I
k = Symbol('k',integer=True)
m = Symbol('m',integer=True)
assert (x**k)**m == x**(k*m)
assert Number(5)**Rational(2,3)==Number(25)**Rational(1,3)
assert (x**.5)**2 == x**1.0
assert (x**2)**k == (x**k)**2 == x**(2*k)
a = Symbol('a', positive=True)
assert (a**3)**Rational(2,5) == a**Rational(6,5)
assert (a**2)**b == (a**b)**2
assert (a**Rational(2, 3))**x == (a**(2*x/3)) != (a**x)**Rational(2, 3)
def eval(cls, arg):
arg = sympify(arg)
if arg.is_Number:
if arg is S.NaN:
return S.NaN
elif arg is S.Infinity:
return S.Infinity
elif arg is S.NegativeInfinity:
return S.NegativeInfinity
elif arg is S.Zero:
return S.Zero
elif arg.is_negative:
return -cls(-arg)
else:
i_coeff = arg.as_coefficient(S.ImaginaryUnit)
if i_coeff is not None:
return S.ImaginaryUnit * C.sin(i_coeff)
else:
coeff, terms = arg.as_coeff_terms()
if coeff.is_negative:
return -cls(-arg)
if arg.func == asinh:
return arg.args[0]
if arg.func == acosh:
x = arg.args[0]
return sqrt(x - 1) * sqrt(x + 1)
if arg.func == atanh:
x = arg.args[0]
return x / sqrt(1 - x ** 2)
def eval(cls, arg):
from sympy import asin
arg = sympify(arg)
if arg.is_Number:
if arg is S.NaN:
return S.NaN
elif arg is S.Infinity:
return S.Infinity
elif arg is S.NegativeInfinity:
return S.NegativeInfinity
elif arg is S.Zero:
return S.Zero
elif arg is S.One:
return log(sqrt(2) + 1)
elif arg is S.NegativeOne:
return log(sqrt(2) - 1)
elif arg.is_negative:
return -cls(-arg)
else:
if arg is S.ComplexInfinity:
return S.ComplexInfinity
i_coeff = arg.as_coefficient(S.ImaginaryUnit)
if i_coeff is not None:
return S.ImaginaryUnit * asin(i_coeff)
else:
if _coeff_isneg(arg):
return -cls(-arg)
def eval(cls, arg):
arg = sympify(arg)
if arg.is_Number:
if arg is S.NaN:
return S.NaN
elif arg is S.Infinity:
return S.Infinity
elif arg is S.NegativeInfinity:
return S.Infinity
elif arg is S.Zero:
return S.One
elif arg.is_negative:
return cls(-arg)
else:
i_coeff = arg.as_coefficient(S.ImaginaryUnit)
if i_coeff is not None:
return C.cos(i_coeff)
else:
if arg.as_coeff_mul()[0].is_negative:
return cls(-arg)
if arg.func == asinh:
return sqrt(1+arg.args[0]**2)
if arg.func == acosh:
return arg.args[0]
if arg.func == atanh:
return 1/sqrt(1-arg.args[0]**2)
if arg.func == acoth:
x = arg.args[0]
return x/(sqrt(x-1) * sqrt(x+1))
def __new__(cls, center=None, hradius=None, vradius=None, eccentricity=None,
**kwargs):
hradius = sympify(hradius)
vradius = sympify(vradius)
eccentricity = sympify(eccentricity)
if len(filter(None, (hradius, vradius, eccentricity))) != 2:
raise ValueError, 'Exactly two arguments between "hradius", '\
'"vradius", and "eccentricity" must be not None."'
if eccentricity is not None:
if hradius is None:
hradius = vradius / sqrt(1 - eccentricity**2)
elif vradius is None:
vradius = hradius * sqrt(1 - eccentricity**2)
else:
if hradius is None and vradius is None:
raise ValueError("At least two arguments between hradius, "
"vradius and eccentricity must not be none.")
if center is None:
center = Point(0, 0)
if not isinstance(center, Point):
raise TypeError("center must be a Point")
if hradius == vradius:
return Circle(center, hradius, **kwargs)
return GeometryEntity.__new__(cls, center, hradius, vradius, **kwargs)
def test_round():
from sympy.abc import x
assert round(Float('0.1249999'), 2) == 0.12
d20 = 12345678901234567890
ans = round(S(d20), 2)
assert ans.is_Float and ans == d20
ans = round(S(d20), -2)
assert ans.is_Float and ans == 12345678901234567900
assert round(S('1/7'), 4) == 0.1429
assert round(S('.[12345]'), 4) == 0.1235
assert round(S('.1349'), 2) == 0.13
n = S(12345)
ans = round(n)
assert ans.is_Float
assert ans == n
ans = round(n, 1)
assert ans.is_Float
assert ans == n
ans = round(n, 4)
assert ans.is_Float
assert ans == n
assert round(n, -1) == 12350
r = round(n, -4)
assert r == 10000
# in fact, it should equal many values since __eq__
# compares at equal precision
assert all(r == i for i in range(9984, 10049))
assert round(n, -5) == 0
assert round(pi + sqrt(2), 2) == 4.56
assert round(10*(pi + sqrt(2)), -1) == 50
raises(TypeError, 'round(x + 2, 2)')
assert round(S(2.3), 1) == 2.3
e = round(12.345, 2)
assert e == _pyround(12.345, 2)
assert type(e) is float
assert round(Float(.3, 3) + 2*pi) == 7
assert round(Float(.3, 3) + 2*pi*100) == 629
assert round(Float(.03, 3) + 2*pi/100, 5) == 0.09283
assert round(Float(.03, 3) + 2*pi/100, 4) == 0.0928
assert round(S.Zero) == 0
a = (Add(1, Float('1.'+'9'*27, ''), evaluate=0))
assert round(a, 10) == Float('3.0000000000','')
assert round(a, 25) == Float('3.0000000000000000000000000','')
assert round(a, 26) == Float('3.00000000000000000000000000','')
assert round(a, 27) == Float('2.999999999999999999999999999','')
assert round(a, 30) == Float('2.999999999999999999999999999','')
raises(TypeError, 'round(x)')
raises(TypeError, 'round(1 + 3*I)')
# exact magnitude of 10
assert str(round(S(1))) == '1.'
assert str(round(S(100))) == '100.'
def get_math_macros():
""" Returns a dictionary with math-related macros from math.h/cmath
Note that these macros are not strictly required by the C/C++-standard.
For MSVC they are enabled by defining "_USE_MATH_DEFINES" (preferably
via a compilation flag).
Returns
=======
Dictionary mapping sympy expressions to strings (macro names)
"""
from sympy.codegen.cfunctions import log2, Sqrt
from sympy.functions.elementary.exponential import log
from sympy.functions.elementary.miscellaneous import sqrt
return {
S.Exp1: 'M_E',
log2(S.Exp1): 'M_LOG2E',
1/log(2): 'M_LOG2E',
log(2): 'M_LN2',
log(10): 'M_LN10',
S.Pi: 'M_PI',
S.Pi/2: 'M_PI_2',
S.Pi/4: 'M_PI_4',
1/S.Pi: 'M_1_PI',
2/S.Pi: 'M_2_PI',
2/sqrt(S.Pi): 'M_2_SQRTPI',
2/Sqrt(S.Pi): 'M_2_SQRTPI',
sqrt(2): 'M_SQRT2',
Sqrt(2): 'M_SQRT2',
1/sqrt(2): 'M_SQRT1_2',
1/Sqrt(2): 'M_SQRT1_2'
}
def eval(cls, n, z):
n, z = list(map(sympify, (n, z)))
from sympy import unpolarify
if n.is_integer:
if n.is_nonnegative:
nz = unpolarify(z)
if z != nz:
return polygamma(n, nz)
if n == -1:
return loggamma(z)
else:
if z.is_Number:
if z is S.NaN:
return S.NaN
elif z is S.Infinity:
if n.is_Number:
if n is S.Zero:
return S.Infinity
else:
return S.Zero
elif z.is_Integer:
if z.is_nonpositive:
return S.ComplexInfinity
else:
if n is S.Zero:
return -S.EulerGamma + C.harmonic(z - 1, 1)
elif n.is_odd:
return (-1) ** (n + 1) * C.factorial(n) * zeta(n + 1, z)
if n == 0:
if z is S.NaN:
return S.NaN
elif z.is_Rational:
# TODO actually *any* n/m can be done, but that is messy
lookup = {
S(1) / 2: -2 * log(2) - S.EulerGamma,
S(1) / 3: -S.Pi / 2 / sqrt(3) - 3 * log(3) / 2 - S.EulerGamma,
S(1) / 4: -S.Pi / 2 - 3 * log(2) - S.EulerGamma,
S(3) / 4: -3 * log(2) - S.EulerGamma + S.Pi / 2,
S(2) / 3: -3 * log(3) / 2 + S.Pi / 2 / sqrt(3) - S.EulerGamma,
}
if z > 0:
n = floor(z)
z0 = z - n
if z0 in lookup:
return lookup[z0] + Add(*[1 / (z0 + k) for k in range(n)])
elif z < 0:
n = floor(1 - z)
z0 = z + n
if z0 in lookup:
return lookup[z0] - Add(*[1 / (z0 - 1 - k) for k in range(n)])
elif z in (S.Infinity, S.NegativeInfinity):
return S.Infinity
else:
t = z.extract_multiplicatively(S.ImaginaryUnit)
if t in (S.Infinity, S.NegativeInfinity):
return S.Infinity
def eval(cls, arg):
from sympy.simplify.simplify import signsimp
if hasattr(arg, '_eval_Abs'):
obj = arg._eval_Abs()
if obj is not None:
return obj
# handle what we can
arg = signsimp(arg, evaluate=False)
if arg.is_Mul:
known = []
unk = []
for t in arg.args:
tnew = cls(t)
if tnew.func is cls:
unk.append(tnew.args[0])
else:
known.append(tnew)
known = Mul(*known)
unk = cls(Mul(*unk), evaluate=False) if unk else S.One
return known*unk
if arg is S.NaN:
return S.NaN
if arg.is_Pow:
base, exponent = arg.as_base_exp()
if base.is_real:
if exponent.is_integer:
if exponent.is_even:
return arg
if base is S.NegativeOne:
return S.One
if base.func is cls and exponent is S.NegativeOne:
return arg
return Abs(base)**exponent
if base.is_positive == True:
return base**re(exponent)
return (-base)**re(exponent)*C.exp(-S.Pi*im(exponent))
if isinstance(arg, C.exp):
return C.exp(re(arg.args[0]))
if arg.is_zero: # it may be an Expr that is zero
return S.Zero
if arg.is_nonnegative:
return arg
if arg.is_nonpositive:
return -arg
if arg.is_imaginary:
arg2 = -S.ImaginaryUnit * arg
if arg2.is_nonnegative:
return arg2
if arg.is_Add:
if arg.has(S.Infinity, S.NegativeInfinity):
if any(a.is_infinite for a in arg.as_real_imag()):
return S.Infinity
if arg.is_real is None and arg.is_imaginary is None:
if all(a.is_real or a.is_imaginary or (S.ImaginaryUnit*a).is_real for a in arg.args):
from sympy import expand_mul
return sqrt(expand_mul(arg*arg.conjugate()))
if arg.is_real is False and arg.is_imaginary is False:
from sympy import expand_mul
return sqrt(expand_mul(arg*arg.conjugate()))
def as_real_imag(self, deep=True, **hints):
# TODO: Handle deep and hints
n, m, theta, phi = self.args
re = (sqrt((2*n + 1)/(4*pi) * C.factorial(n - m)/C.factorial(n + m)) *
C.cos(m*phi) * assoc_legendre(n, m, C.cos(theta)))
im = (sqrt((2*n + 1)/(4*pi) * C.factorial(n - m)/C.factorial(n + m)) *
C.sin(m*phi) * assoc_legendre(n, m, C.cos(theta)))
return (re, im)
def test_issue_3554():
x = Symbol("x")
assert (1 / sqrt(1 + cos(x) * sin(x ** 2))).series(x, 0, 7) == 1 - x ** 2 / 2 + 5 * x ** 4 / 8 - 5 * x ** 6 / 8 + O(
x ** 7
)
assert (1 / sqrt(1 + cos(x) * sin(x ** 2))).series(x, 0, 8) == 1 - x ** 2 / 2 + 5 * x ** 4 / 8 - 5 * x ** 6 / 8 + O(
x ** 8
)
def intersection(self, o):
"""The intersection of this circle with another geometrical entity.
Parameters
----------
o : GeometryEntity
Returns
-------
intersection : list of GeometryEntities
Examples
--------
>>> from sympy import Point, Circle, Line, Ray
>>> p1, p2, p3 = Point(0, 0), Point(5, 5), Point(6, 0)
>>> p4 = Point(5, 0)
>>> c1 = Circle(p1, 5)
>>> c1.intersection(p2)
[]
>>> c1.intersection(p4)
[Point(5, 0)]
>>> c1.intersection(Ray(p1, p2))
[Point(5*sqrt(2)/2, 5*sqrt(2)/2)]
>>> c1.intersection(Line(p2, p3))
[]
"""
if isinstance(o, Circle):
if o.center == self.center:
if o.radius == self.radius:
return o
return []
dx, dy = o.center - self.center
d = sqrt(simplify(dy ** 2 + dx ** 2))
R = o.radius + self.radius
if d > R or d < abs(self.radius - o.radius):
return []
a = simplify((self.radius ** 2 - o.radius ** 2 + d ** 2) / (2 * d))
x2 = self.center[0] + (dx * a / d)
y2 = self.center[1] + (dy * a / d)
h = sqrt(simplify(self.radius ** 2 - a ** 2))
rx = -dy * (h / d)
ry = dx * (h / d)
xi_1 = simplify(x2 + rx)
xi_2 = simplify(x2 - rx)
yi_1 = simplify(y2 + ry)
yi_2 = simplify(y2 - ry)
ret = [Point(xi_1, yi_1)]
if xi_1 != xi_2 or yi_1 != yi_2:
ret.append(Point(xi_2, yi_2))
return ret
return Ellipse.intersection(self, o)
def _eval_expand_func(self, **hints):
n, m, theta, phi = self.args
rv = (
sqrt((2 * n + 1) / (4 * pi) * C.factorial(n - m) / C.factorial(n + m))
* C.exp(I * m * phi)
* assoc_legendre(n, m, C.cos(theta))
)
# We can do this because of the range of theta
return rv.subs(sqrt(-cos(theta) ** 2 + 1), sin(theta))
def _eval_rewrite_as_besseli(self, z):
ot = Rational(1, 3)
tt = Rational(2, 3)
a = Pow(z, Rational(3, 2))
if re(z).is_positive:
return sqrt(z) / sqrt(3) * (besseli(-ot, tt * a) + besseli(ot, tt * a))
else:
b = Pow(a, ot)
c = Pow(a, -ot)
return sqrt(ot) * (b * besseli(-ot, tt * a) + z * c * besseli(ot, tt * a))
def eval(cls, n, m, theta, phi):
n, m, th, ph = [sympify(x) for x in (n, m, theta, phi)]
if m.is_positive:
zz = (Ynm(n, m, th, ph) + Ynm_c(n, m, th, ph)) / sqrt(2)
return zz
elif m.is_zero:
return Ynm(n, m, th, ph)
elif m.is_negative:
zz = (Ynm(n, m, th, ph) - Ynm_c(n, m, th, ph)) / (sqrt(2)*I)
return zz
def _eval_rewrite_as_besseli(self, z):
ot = Rational(1, 3)
tt = Rational(2, 3)
a = tt * Pow(z, Rational(3, 2))
if re(z).is_positive:
return z / sqrt(3) * (besseli(-tt, a) + besseli(tt, a))
else:
a = Pow(z, Rational(3, 2))
b = Pow(a, tt)
c = Pow(a, -tt)
return sqrt(ot) * (b * besseli(-tt, tt * a) + z ** 2 * c * besseli(tt, tt * a))
def _eval_rewrite_as_Integral(self, *args):
from sympy import Integral, Dummy
t = Dummy("t")
m = self.args[0]
return Integral(1 / sqrt(1 - m * sin(t)**2), (t, 0, pi / 2))
def eval(cls, arg):
from sympy import acos
arg = sympify(arg)
if arg.is_Number:
if arg is S.NaN:
return S.NaN
elif arg is S.Infinity:
return S.Infinity
elif arg is S.NegativeInfinity:
return S.Infinity
elif arg is S.Zero:
return S.Pi * S.ImaginaryUnit / 2
elif arg is S.One:
return S.Zero
elif arg is S.NegativeOne:
return S.Pi * S.ImaginaryUnit
if arg.is_number:
cst_table = {
S.ImaginaryUnit: log(S.ImaginaryUnit * (1 + sqrt(2))),
-S.ImaginaryUnit: log(-S.ImaginaryUnit * (1 + sqrt(2))),
S.Half: S.Pi / 3,
-S.Half: 2 * S.Pi / 3,
sqrt(2) / 2: S.Pi / 4,
-sqrt(2) / 2: 3 * S.Pi / 4,
1 / sqrt(2): S.Pi / 4,
-1 / sqrt(2): 3 * S.Pi / 4,
sqrt(3) / 2: S.Pi / 6,
-sqrt(3) / 2: 5 * S.Pi / 6,
(sqrt(3) - 1) / sqrt(2**3): 5 * S.Pi / 12,
-(sqrt(3) - 1) / sqrt(2**3): 7 * S.Pi / 12,
sqrt(2 + sqrt(2)) / 2: S.Pi / 8,
-sqrt(2 + sqrt(2)) / 2: 7 * S.Pi / 8,
sqrt(2 - sqrt(2)) / 2: 3 * S.Pi / 8,
-sqrt(2 - sqrt(2)) / 2: 5 * S.Pi / 8,
(1 + sqrt(3)) / (2 * sqrt(2)): S.Pi / 12,
-(1 + sqrt(3)) / (2 * sqrt(2)): 11 * S.Pi / 12,
(sqrt(5) + 1) / 4: S.Pi / 5,
-(sqrt(5) + 1) / 4: 4 * S.Pi / 5
}
if arg in cst_table:
if arg.is_real:
return cst_table[arg] * S.ImaginaryUnit
return cst_table[arg]
if arg.is_infinite:
return S.Infinity
def _eval_rewrite_as_Integral(self, *args):
from sympy import Integral, Dummy
t = Dummy("t")
z, m = self.args[0], self.args[1]
return Integral(1 / (sqrt(1 - m * sin(t)**2)), (t, 0, z))
def gauss_hermite(n, n_digits):
r"""
Computes the Gauss-Hermite quadrature [1]_ points and weights.
The Gauss-Hermite quadrature approximates the integral:
.. math::
\int_{-\infty}^{\infty} e^{-x^2} f(x)\,dx \approx \sum_{i=1}^n w_i f(x_i)
The nodes `x_i` of an order `n` quadrature rule are the roots of `H_n`
and the weights `w_i` are given by:
.. math::
w_i = \frac{2^{n-1} n! \sqrt{\pi}}{n^2 \left(H_{n-1}(x_i)\right)^2}
Parameters
==========
n : the order of quadrature
n_digits : number of significant digits of the points and weights to return
Returns
=======
(x, w) : the ``x`` and ``w`` are lists of points and weights as Floats.
The points `x_i` and weights `w_i` are returned as ``(x, w)``
tuple of lists.
Examples
========
>>> from sympy.integrals.quadrature import gauss_hermite
>>> x, w = gauss_hermite(3, 5)
>>> x
[-1.2247, 0, 1.2247]
>>> w
[0.29541, 1.1816, 0.29541]
>>> x, w = gauss_hermite(6, 5)
>>> x
[-2.3506, -1.3358, -0.43608, 0.43608, 1.3358, 2.3506]
>>> w
[0.00453, 0.15707, 0.72463, 0.72463, 0.15707, 0.00453]
See Also
========
gauss_legendre, gauss_laguerre, gauss_gen_laguerre, gauss_chebyshev_t, gauss_chebyshev_u, gauss_jacobi
References
==========
.. [1] http://en.wikipedia.org/wiki/Gauss-Hermite_Quadrature
.. [2] http://people.sc.fsu.edu/~jburkardt/cpp_src/hermite_rule/hermite_rule.html
.. [3] http://people.sc.fsu.edu/~jburkardt/cpp_src/gen_hermite_rule/gen_hermite_rule.html
"""
x = Dummy("x")
p = hermite_poly(n, x, polys=True)
p1 = hermite_poly(n - 1, x, polys=True)
xi = []
w = []
for r in p.real_roots():
if isinstance(r, RootOf):
r = r.eval_rational(S(1) / 10**(n_digits + 2))
xi.append(r.n(n_digits))
w.append(((2**(n - 1) * factorial(n) * sqrt(pi)) /
(n**2 * p1.subs(x, r)**2)).n(n_digits))
return xi, w
def test_issue_6990():
x = Symbol('x')
a = Symbol('a')
b = Symbol('b')
assert (sqrt(a + b*x + x**2)).series(x, 0, 3).removeO() == \
sqrt(a)*x**2*(1/(2*a) - b**2/(8*a**2)) + sqrt(a) + b*x/(2*sqrt(a))
def _eval_rewrite_as_log(self, x):
"""
Rewrites asinh as log function.
"""
return log(x + sqrt(x**2 + 1))
def test_periodicity():
x = Symbol('x')
y = Symbol('y')
z = Symbol('z', real=True)
assert periodicity(sin(2 * x), x) == pi
assert periodicity((-2) * tan(4 * x), x) == pi / 4
assert periodicity(sin(x)**2, x) == 2 * pi
assert periodicity(3**tan(3 * x), x) == pi / 3
assert periodicity(tan(x) * cos(x), x) == 2 * pi
assert periodicity(sin(x)**(tan(x)), x) == 2 * pi
assert periodicity(tan(x) * sec(x), x) == 2 * pi
assert periodicity(sin(2 * x) * cos(2 * x) - y, x) == pi / 2
assert periodicity(tan(x) + cot(x), x) == pi
assert periodicity(sin(x) - cos(2 * x), x) == 2 * pi
assert periodicity(sin(x) - 1, x) == 2 * pi
assert periodicity(sin(4 * x) + sin(x) * cos(x), x) == pi
assert periodicity(exp(sin(x)), x) == 2 * pi
assert periodicity(log(cot(2 * x)) - sin(cos(2 * x)), x) == pi
assert periodicity(sin(2 * x) * exp(tan(x) - csc(2 * x)), x) == pi
assert periodicity(cos(sec(x) - csc(2 * x)), x) == 2 * pi
assert periodicity(tan(sin(2 * x)), x) == pi
assert periodicity(2 * tan(x)**2, x) == pi
assert periodicity(sin(x % 4), x) == 4
assert periodicity(sin(x) % 4, x) == 2 * pi
assert periodicity(tan((3 * x - 2) % 4), x) == Rational(4, 3)
assert periodicity((sqrt(2) * (x + 1) + x) % 3, x) == 3 / (sqrt(2) + 1)
assert periodicity((x**2 + 1) % x, x) is None
assert periodicity(sin(re(x)), x) == 2 * pi
assert periodicity(sin(x)**2 + cos(x)**2, x) is S.Zero
assert periodicity(tan(x), y) is S.Zero
assert periodicity(sin(x) + I * cos(x), x) == 2 * pi
assert periodicity(x - sin(2 * y), y) == pi
assert periodicity(exp(x), x) is None
assert periodicity(exp(I * x), x) == 2 * pi
assert periodicity(exp(I * z), z) == 2 * pi
assert periodicity(exp(z), z) is None
assert periodicity(exp(log(sin(z) + I * cos(2 * z)), evaluate=False),
z) == 2 * pi
assert periodicity(exp(log(sin(2 * z) + I * cos(z)), evaluate=False),
z) == 2 * pi
assert periodicity(exp(sin(z)), z) == 2 * pi
assert periodicity(exp(2 * I * z), z) == pi
assert periodicity(exp(z + I * sin(z)), z) is None
assert periodicity(exp(cos(z / 2) + sin(z)), z) == 4 * pi
assert periodicity(log(x), x) is None
assert periodicity(exp(x)**sin(x), x) is None
assert periodicity(sin(x)**y, y) is None
assert periodicity(Abs(sin(Abs(sin(x)))), x) == pi
assert all(
periodicity(Abs(f(x)), x) == pi
for f in (cos, sin, sec, csc, tan, cot))
assert periodicity(Abs(sin(tan(x))), x) == pi
assert periodicity(Abs(sin(sin(x) + tan(x))), x) == 2 * pi
assert periodicity(sin(x) > S.Half, x) == 2 * pi
assert periodicity(x > 2, x) is None
assert periodicity(x**3 - x**2 + 1, x) is None
assert periodicity(Abs(x), x) is None
assert periodicity(Abs(x**2 - 1), x) is None
assert periodicity((x**2 + 4) % 2, x) is None
assert periodicity((E**x) % 3, x) is None
assert periodicity(sin(expint(1, x)) / expint(1, x), x) is None
# returning `None` for any Piecewise
p = Piecewise((0, x < -1), (x**2, x <= 1), (log(x), True))
assert periodicity(p, x) is None
m = MatrixSymbol('m', 3, 3)
raises(NotImplementedError, lambda: periodicity(sin(m), m))
raises(NotImplementedError, lambda: periodicity(sin(m[0, 0]), m))
raises(NotImplementedError, lambda: periodicity(sin(m), m[0, 0]))
raises(NotImplementedError, lambda: periodicity(sin(m[0, 0]), m[0, 0]))
def eval(cls, arg):
from sympy.simplify.simplify import signsimp
from sympy.core.function import expand_mul
from sympy.core.power import Pow
if hasattr(arg, '_eval_Abs'):
obj = arg._eval_Abs()
if obj is not None:
return obj
if not isinstance(arg, Expr):
raise TypeError("Bad argument type for Abs(): %s" % type(arg))
# handle what we can
arg = signsimp(arg, evaluate=False)
n, d = arg.as_numer_denom()
if d.free_symbols and not n.free_symbols:
return cls(n) / cls(d)
if arg.is_Mul:
known = []
unk = []
for t in arg.args:
if t.is_Pow and t.exp.is_integer and t.exp.is_negative:
bnew = cls(t.base)
if isinstance(bnew, cls):
unk.append(t)
else:
known.append(Pow(bnew, t.exp))
else:
tnew = cls(t)
if isinstance(tnew, cls):
unk.append(t)
else:
known.append(tnew)
known = Mul(*known)
unk = cls(Mul(*unk), evaluate=False) if unk else S.One
return known * unk
if arg is S.NaN:
return S.NaN
if arg is S.ComplexInfinity:
return S.Infinity
if arg.is_Pow:
base, exponent = arg.as_base_exp()
if base.is_extended_real:
if exponent.is_integer:
if exponent.is_even:
return arg
if base is S.NegativeOne:
return S.One
return Abs(base)**exponent
if base.is_extended_nonnegative:
return base**re(exponent)
if base.is_extended_negative:
return (-base)**re(exponent) * exp(-S.Pi * im(exponent))
return
elif not base.has(Symbol): # complex base
# express base**exponent as exp(exponent*log(base))
a, b = log(base).as_real_imag()
z = a + I * b
return exp(re(exponent * z))
if isinstance(arg, exp):
return exp(re(arg.args[0]))
if isinstance(arg, AppliedUndef):
if arg.is_positive:
return arg
elif arg.is_negative:
return -arg
return
if arg.is_Add and arg.has(S.Infinity, S.NegativeInfinity):
if any(a.is_infinite for a in arg.as_real_imag()):
return S.Infinity
if arg.is_zero:
return S.Zero
if arg.is_extended_nonnegative:
return arg
if arg.is_extended_nonpositive:
return -arg
if arg.is_imaginary:
arg2 = -S.ImaginaryUnit * arg
if arg2.is_extended_nonnegative:
return arg2
if arg.is_extended_real:
return
# reject result if all new conjugates are just wrappers around
# an expression that was already in the arg
conj = signsimp(arg.conjugate(), evaluate=False)
new_conj = conj.atoms(conjugate) - arg.atoms(conjugate)
if new_conj and all(arg.has(i.args[0]) for i in new_conj):
return
if arg != conj and arg != -conj:
ignore = arg.atoms(Abs)
abs_free_arg = arg.xreplace({i: Dummy(real=True) for i in ignore})
unk = [
a for a in abs_free_arg.free_symbols
if a.is_extended_real is None
]
if not unk or not all(conj.has(conjugate(u)) for u in unk):
return sqrt(expand_mul(arg * conj))
def test_issue_17524():
a = symbols("a", real=True)
e = (-1 - a**2)*sqrt(1 + a**2)
assert signsimp(powsimp(e)) == signsimp(e) == -(a**2 + 1)**(S(3)/2)
def test_issue_4362():
neg = Symbol('neg', negative=True)
nonneg = Symbol('nonneg', nonnegative=True)
any = Symbol('any')
num, den = sqrt(1 / neg).as_numer_denom()
assert num == sqrt(-1)
assert den == sqrt(-neg)
num, den = sqrt(1 / nonneg).as_numer_denom()
assert num == 1
assert den == sqrt(nonneg)
num, den = sqrt(1 / any).as_numer_denom()
assert num == sqrt(1 / any)
assert den == 1
def eqn(num, den, pow):
return (num / den)**pow
npos = 1
nneg = -1
dpos = 2 - sqrt(3)
dneg = 1 - sqrt(3)
assert dpos > 0 and dneg < 0 and npos > 0 and nneg < 0
# pos or neg integer
eq = eqn(npos, dpos, 2)
assert eq.is_Pow and eq.as_numer_denom() == (1, dpos**2)
eq = eqn(npos, dneg, 2)
assert eq.is_Pow and eq.as_numer_denom() == (1, dneg**2)
eq = eqn(nneg, dpos, 2)
assert eq.is_Pow and eq.as_numer_denom() == (1, dpos**2)
eq = eqn(nneg, dneg, 2)
assert eq.is_Pow and eq.as_numer_denom() == (1, dneg**2)
eq = eqn(npos, dpos, -2)
assert eq.is_Pow and eq.as_numer_denom() == (dpos**2, 1)
eq = eqn(npos, dneg, -2)
assert eq.is_Pow and eq.as_numer_denom() == (dneg**2, 1)
eq = eqn(nneg, dpos, -2)
assert eq.is_Pow and eq.as_numer_denom() == (dpos**2, 1)
eq = eqn(nneg, dneg, -2)
assert eq.is_Pow and eq.as_numer_denom() == (dneg**2, 1)
# pos or neg rational
pow = S.Half
eq = eqn(npos, dpos, pow)
assert eq.is_Pow and eq.as_numer_denom() == (npos**pow, dpos**pow)
eq = eqn(npos, dneg, pow)
assert eq.is_Pow is False and eq.as_numer_denom() == ((-npos)**pow,
(-dneg)**pow)
eq = eqn(nneg, dpos, pow)
assert not eq.is_Pow or eq.as_numer_denom() == (nneg**pow, dpos**pow)
eq = eqn(nneg, dneg, pow)
assert eq.is_Pow and eq.as_numer_denom() == ((-nneg)**pow, (-dneg)**pow)
eq = eqn(npos, dpos, -pow)
assert eq.is_Pow and eq.as_numer_denom() == (dpos**pow, npos**pow)
eq = eqn(npos, dneg, -pow)
assert eq.is_Pow is False and eq.as_numer_denom() == (-(-npos)**pow *
(-dneg)**pow, npos)
eq = eqn(nneg, dpos, -pow)
assert not eq.is_Pow or eq.as_numer_denom() == (dpos**pow, nneg**pow)
eq = eqn(nneg, dneg, -pow)
assert eq.is_Pow and eq.as_numer_denom() == ((-dneg)**pow, (-nneg)**pow)
# unknown exponent
pow = 2 * any
eq = eqn(npos, dpos, pow)
assert eq.is_Pow and eq.as_numer_denom() == (npos**pow, dpos**pow)
eq = eqn(npos, dneg, pow)
assert eq.is_Pow and eq.as_numer_denom() == ((-npos)**pow, (-dneg)**pow)
eq = eqn(nneg, dpos, pow)
assert eq.is_Pow and eq.as_numer_denom() == (nneg**pow, dpos**pow)
eq = eqn(nneg, dneg, pow)
assert eq.is_Pow and eq.as_numer_denom() == ((-nneg)**pow, (-dneg)**pow)
eq = eqn(npos, dpos, -pow)
assert eq.as_numer_denom() == (dpos**pow, npos**pow)
eq = eqn(npos, dneg, -pow)
assert eq.is_Pow and eq.as_numer_denom() == ((-dneg)**pow, (-npos)**pow)
eq = eqn(nneg, dpos, -pow)
assert eq.is_Pow and eq.as_numer_denom() == (dpos**pow, nneg**pow)
eq = eqn(nneg, dneg, -pow)
assert eq.is_Pow and eq.as_numer_denom() == ((-dneg)**pow, (-nneg)**pow)
x = Symbol('x')
y = Symbol('y')
assert ((1 / (1 + x / 3))**(-S.One)).as_numer_denom() == (3 + x, 3)
notp = Symbol('notp', positive=False) # not positive does not imply real
b = ((1 + x / notp)**-2)
assert (b**(-y)).as_numer_denom() == (1, b**y)
assert (b**(-S.One)).as_numer_denom() == ((notp + x)**2, notp**2)
nonp = Symbol('nonp', nonpositive=True)
assert (((1 + x / nonp)**-2)**(-S.One)).as_numer_denom() == ((-nonp -
x)**2,
nonp**2)
n = Symbol('n', negative=True)
assert (x**n).as_numer_denom() == (1, x**-n)
assert sqrt(1 / n).as_numer_denom() == (S.ImaginaryUnit, sqrt(-n))
n = Symbol('0 or neg', nonpositive=True)
# if x and n are split up without negating each term and n is negative
# then the answer might be wrong; if n is 0 it won't matter since
# 1/oo and 1/zoo are both zero as is sqrt(0)/sqrt(-x) unless x is also
# zero (in which case the negative sign doesn't matter):
# 1/sqrt(1/-1) = -I but sqrt(-1)/sqrt(1) = I
assert (1 / sqrt(x / n)).as_numer_denom() == (sqrt(-n), sqrt(-x))
c = Symbol('c', complex=True)
e = sqrt(1 / c)
assert e.as_numer_denom() == (e, 1)
i = Symbol('i', integer=True)
assert (((1 + x / y)**i)).as_numer_denom() == ((x + y)**i, y**i)
def test_issue_3866():
assert --sqrt(sqrt(5) - 1) == sqrt(sqrt(5) - 1)
def fdiff(self, argindex=1):
if argindex == 1:
z = self.args[0]
return -1 / (z * sqrt(1 - z**2))
else:
raise ArgumentIndexError(self, argindex)
def eval(cls, arg):
from sympy import asec
arg = sympify(arg)
if arg.is_Number:
if arg is S.NaN:
return S.NaN
elif arg is S.Infinity:
return S.Pi * S.ImaginaryUnit / 2
elif arg is S.NegativeInfinity:
return S.Pi * S.ImaginaryUnit / 2
elif arg is S.Zero:
return S.Infinity
elif arg is S.One:
return S.Zero
elif arg is S.NegativeOne:
return S.Pi * S.ImaginaryUnit
if arg.is_number:
cst_table = {
S.ImaginaryUnit:
-(S.Pi * S.ImaginaryUnit / 2) + log(1 + sqrt(2)),
-S.ImaginaryUnit:
(S.Pi * S.ImaginaryUnit / 2) + log(1 + sqrt(2)),
(sqrt(6) - sqrt(2)): S.Pi / 12,
(sqrt(2) - sqrt(6)): 11 * S.Pi / 12,
sqrt(2 - 2 / sqrt(5)): S.Pi / 10,
-sqrt(2 - 2 / sqrt(5)): 9 * S.Pi / 10,
2 / sqrt(2 + sqrt(2)): S.Pi / 8,
-2 / sqrt(2 + sqrt(2)): 7 * S.Pi / 8,
2 / sqrt(3): S.Pi / 6,
-2 / sqrt(3): 5 * S.Pi / 6,
(sqrt(5) - 1): S.Pi / 5,
(1 - sqrt(5)): 4 * S.Pi / 5,
sqrt(2): S.Pi / 4,
-sqrt(2): 3 * S.Pi / 4,
sqrt(2 + 2 / sqrt(5)): 3 * S.Pi / 10,
-sqrt(2 + 2 / sqrt(5)): 7 * S.Pi / 10,
S(2): S.Pi / 3,
-S(2): 2 * S.Pi / 3,
sqrt(2 * (2 + sqrt(2))): 3 * S.Pi / 8,
-sqrt(2 * (2 + sqrt(2))): 5 * S.Pi / 8,
(1 + sqrt(5)): 2 * S.Pi / 5,
(-1 - sqrt(5)): 3 * S.Pi / 5,
(sqrt(6) + sqrt(2)): 5 * S.Pi / 12,
(-sqrt(6) - sqrt(2)): 7 * S.Pi / 12,
}
if arg in cst_table:
if arg.is_real:
return cst_table[arg] * S.ImaginaryUnit
return cst_table[arg]
if arg is S.ComplexInfinity:
return S.NaN
def _eval_rewrite_as_log(self, arg):
return log(1 / arg + sqrt(1 / arg**2 - 1))
def _eval_rewrite_as_conjugate(self, arg, **kwargs):
return sqrt(arg * conjugate(arg))
def test_powsimp():
x, y, z, n = symbols('x,y,z,n')
f = Function('f')
assert powsimp( 4**x * 2**(-x) * 2**(-x) ) == 1
assert powsimp( (-4)**x * (-2)**(-x) * 2**(-x) ) == 1
assert powsimp(
f(4**x * 2**(-x) * 2**(-x)) ) == f(4**x * 2**(-x) * 2**(-x))
assert powsimp( f(4**x * 2**(-x) * 2**(-x)), deep=True ) == f(1)
assert exp(x)*exp(y) == exp(x)*exp(y)
assert powsimp(exp(x)*exp(y)) == exp(x + y)
assert powsimp(exp(x)*exp(y)*2**x*2**y) == (2*E)**(x + y)
assert powsimp(exp(x)*exp(y)*2**x*2**y, combine='exp') == \
exp(x + y)*2**(x + y)
assert powsimp(exp(x)*exp(y)*exp(2)*sin(x) + sin(y) + 2**x*2**y) == \
exp(2 + x + y)*sin(x) + sin(y) + 2**(x + y)
assert powsimp(sin(exp(x)*exp(y))) == sin(exp(x)*exp(y))
assert powsimp(sin(exp(x)*exp(y)), deep=True) == sin(exp(x + y))
assert powsimp(x**2*x**y) == x**(2 + y)
# This should remain factored, because 'exp' with deep=True is supposed
# to act like old automatic exponent combining.
assert powsimp((1 + E*exp(E))*exp(-E), combine='exp', deep=True) == \
(1 + exp(1 + E))*exp(-E)
assert powsimp((1 + E*exp(E))*exp(-E), deep=True) == \
(1 + exp(1 + E))*exp(-E)
assert powsimp((1 + E*exp(E))*exp(-E)) == (1 + exp(1 + E))*exp(-E)
assert powsimp((1 + E*exp(E))*exp(-E), combine='exp') == \
(1 + exp(1 + E))*exp(-E)
assert powsimp((1 + E*exp(E))*exp(-E), combine='base') == \
(1 + E*exp(E))*exp(-E)
x, y = symbols('x,y', nonnegative=True)
n = Symbol('n', real=True)
assert powsimp(y**n * (y/x)**(-n)) == x**n
assert powsimp(x**(x**(x*y)*y**(x*y))*y**(x**(x*y)*y**(x*y)), deep=True) \
== (x*y)**(x*y)**(x*y)
assert powsimp(2**(2**(2*x)*x), deep=False) == 2**(2**(2*x)*x)
assert powsimp(2**(2**(2*x)*x), deep=True) == 2**(x*4**x)
assert powsimp(
exp(-x + exp(-x)*exp(-x*log(x))), deep=False, combine='exp') == \
exp(-x + exp(-x)*exp(-x*log(x)))
assert powsimp(
exp(-x + exp(-x)*exp(-x*log(x))), deep=False, combine='exp') == \
exp(-x + exp(-x)*exp(-x*log(x)))
assert powsimp((x + y)/(3*z), deep=False, combine='exp') == (x + y)/(3*z)
assert powsimp((x/3 + y/3)/z, deep=True, combine='exp') == (x/3 + y/3)/z
assert powsimp(exp(x)/(1 + exp(x)*exp(y)), deep=True) == \
exp(x)/(1 + exp(x + y))
assert powsimp(x*y**(z**x*z**y), deep=True) == x*y**(z**(x + y))
assert powsimp((z**x*z**y)**x, deep=True) == (z**(x + y))**x
assert powsimp(x*(z**x*z**y)**x, deep=True) == x*(z**(x + y))**x
p = symbols('p', positive=True)
assert powsimp((1/x)**log(2)/x) == (1/x)**(1 + log(2))
assert powsimp((1/p)**log(2)/p) == p**(-1 - log(2))
# coefficient of exponent can only be simplified for positive bases
assert powsimp(2**(2*x)) == 4**x
assert powsimp((-1)**(2*x)) == (-1)**(2*x)
i = symbols('i', integer=True)
assert powsimp((-1)**(2*i)) == 1
assert powsimp((-1)**(-x)) != (-1)**x # could be 1/((-1)**x), but is not
# force=True overrides assumptions
assert powsimp((-1)**(2*x), force=True) == 1
# rational exponents allow combining of negative terms
w, n, m = symbols('w n m', negative=True)
e = i/a # not a rational exponent if `a` is unknown
ex = w**e*n**e*m**e
assert powsimp(ex) == m**(i/a)*n**(i/a)*w**(i/a)
e = i/3
ex = w**e*n**e*m**e
assert powsimp(ex) == (-1)**i*(-m*n*w)**(i/3)
e = (3 + i)/i
ex = w**e*n**e*m**e
assert powsimp(ex) == (-1)**(3*e)*(-m*n*w)**e
eq = x**(a*Rational(2, 3))
# eq != (x**a)**(2/3) (try x = -1 and a = 3 to see)
assert powsimp(eq).exp == eq.exp == a*Rational(2, 3)
# powdenest goes the other direction
assert powsimp(2**(2*x)) == 4**x
assert powsimp(exp(p/2)) == exp(p/2)
# issue 6368
eq = Mul(*[sqrt(Dummy(imaginary=True)) for i in range(3)])
assert powsimp(eq) == eq and eq.is_Mul
assert all(powsimp(e) == e for e in (sqrt(x**a), sqrt(x**2)))
# issue 8836
assert str( powsimp(exp(I*pi/3)*root(-1,3)) ) == '(-1)**(2/3)'
# issue 9183
assert powsimp(-0.1**x) == -0.1**x
# issue 10095
assert powsimp((1/(2*E))**oo) == (exp(-1)/2)**oo
# PR 13131
eq = sin(2*x)**2*sin(2.0*x)**2
assert powsimp(eq) == eq
# issue 14615
assert powsimp(x**2*y**3*(x*y**2)**Rational(3, 2)
) == x*y*(x*y**2)**Rational(5, 2)
def test_DiracDelta():
assert DiracDelta(1) == 0
assert DiracDelta(5.1) == 0
assert DiracDelta(-pi) == 0
assert DiracDelta(5, 7) == 0
assert DiracDelta(i) == 0
assert DiracDelta(j) == 0
assert DiracDelta(k) == 0
assert DiracDelta(nan) is nan
assert DiracDelta(0).func is DiracDelta
assert DiracDelta(x).func is DiracDelta
# FIXME: this is generally undefined @ x=0
# But then limit(Delta(c)*Heaviside(x),x,-oo)
# need's to be implemented.
# assert 0*DiracDelta(x) == 0
assert adjoint(DiracDelta(x)) == DiracDelta(x)
assert adjoint(DiracDelta(x - y)) == DiracDelta(x - y)
assert conjugate(DiracDelta(x)) == DiracDelta(x)
assert conjugate(DiracDelta(x - y)) == DiracDelta(x - y)
assert transpose(DiracDelta(x)) == DiracDelta(x)
assert transpose(DiracDelta(x - y)) == DiracDelta(x - y)
assert DiracDelta(x).diff(x) == DiracDelta(x, 1)
assert DiracDelta(x, 1).diff(x) == DiracDelta(x, 2)
assert DiracDelta(x).is_simple(x) is True
assert DiracDelta(3 * x).is_simple(x) is True
assert DiracDelta(x**2).is_simple(x) is False
assert DiracDelta(sqrt(x)).is_simple(x) is False
assert DiracDelta(x).is_simple(y) is False
assert DiracDelta(x * y).expand(diracdelta=True,
wrt=x) == DiracDelta(x) / abs(y)
assert DiracDelta(x * y).expand(diracdelta=True,
wrt=y) == DiracDelta(y) / abs(x)
assert DiracDelta(x**2 * y).expand(diracdelta=True,
wrt=x) == DiracDelta(x**2 * y)
assert DiracDelta(y).expand(diracdelta=True, wrt=x) == DiracDelta(y)
assert DiracDelta((x - 1) * (x - 2) * (x - 3)).expand(
diracdelta=True, wrt=x) == (DiracDelta(x - 3) / 2 + DiracDelta(x - 2) +
DiracDelta(x - 1) / 2)
assert DiracDelta(2 * x) != DiracDelta(x) # scaling property
assert DiracDelta(x) == DiracDelta(-x) # even function
assert DiracDelta(-x, 2) == DiracDelta(x, 2)
assert DiracDelta(-x, 1) == -DiracDelta(x, 1) # odd deriv is odd
assert DiracDelta(-oo * x) == DiracDelta(oo * x)
assert DiracDelta(x - y) != DiracDelta(y - x)
assert signsimp(DiracDelta(x - y) - DiracDelta(y - x)) == 0
assert DiracDelta(x * y).expand(diracdelta=True,
wrt=x) == DiracDelta(x) / abs(y)
assert DiracDelta(x * y).expand(diracdelta=True,
wrt=y) == DiracDelta(y) / abs(x)
assert DiracDelta(x**2 * y).expand(diracdelta=True,
wrt=x) == DiracDelta(x**2 * y)
assert DiracDelta(y).expand(diracdelta=True, wrt=x) == DiracDelta(y)
assert DiracDelta((x - 1) * (x - 2) * (x - 3)).expand(
diracdelta=True) == (DiracDelta(x - 3) / 2 + DiracDelta(x - 2) +
DiracDelta(x - 1) / 2)
raises(ArgumentIndexError, lambda: DiracDelta(x).fdiff(2))
raises(ValueError, lambda: DiracDelta(x, -1))
raises(ValueError, lambda: DiracDelta(I))
raises(ValueError, lambda: DiracDelta(2 + 3 * I))
def _eval_rewrite_as_bessely(self, nu, z):
return sqrt(pi / (2 * z)) * bessely(nu + S('1/2'), z)
def test_issue_18190():
assert sqrt(1 / tan(1 + I)) == 1 / sqrt(tan(1 + I))
def test_better_sqrt():
n = Symbol('n', integer=True, nonnegative=True)
assert sqrt(3 + 4 * I) == 2 + I
assert sqrt(3 - 4 * I) == 2 - I
assert sqrt(-3 - 4 * I) == 1 - 2 * I
assert sqrt(-3 + 4 * I) == 1 + 2 * I
assert sqrt(32 + 24 * I) == 6 + 2 * I
assert sqrt(32 - 24 * I) == 6 - 2 * I
assert sqrt(-32 - 24 * I) == 2 - 6 * I
assert sqrt(-32 + 24 * I) == 2 + 6 * I
# triple (3, 4, 5):
# parity of 3 matches parity of 5 and
# den, 4, is a square
assert sqrt((3 + 4 * I) / 4) == 1 + I / 2
# triple (8, 15, 17)
# parity of 8 doesn't match parity of 17 but
# den/2, 8/2, is a square
assert sqrt((8 + 15 * I) / 8) == (5 + 3 * I) / 4
# handle the denominator
assert sqrt((3 - 4 * I) / 25) == (2 - I) / 5
assert sqrt((3 - 4 * I) / 26) == (2 - I) / sqrt(26)
# mul
# issue #12739
assert sqrt((3 + 4 * I) / (3 - 4 * I)) == (3 + 4 * I) / 5
assert sqrt(2 / (3 + 4 * I)) == sqrt(2) / 5 * (2 - I)
assert sqrt(n / (3 + 4 * I)).subs(n, 2) == sqrt(2) / 5 * (2 - I)
assert sqrt(-2 / (3 + 4 * I)) == sqrt(2) / 5 * (1 + 2 * I)
assert sqrt(-n / (3 + 4 * I)).subs(n, 2) == sqrt(2) / 5 * (1 + 2 * I)
# power
assert sqrt(1 / (3 + I * 4)) == (2 - I) / 5
assert sqrt(1 / (3 - I)) == sqrt(10) * sqrt(3 + I) / 10
# symbolic
i = symbols('i', imaginary=True)
assert sqrt(3 / i) == Mul(sqrt(3), 1 / sqrt(i), evaluate=False)
# multiples of 1/2; don't make this too automatic
assert sqrt((3 + 4 * I))**3 == (2 + I)**3
assert Pow(3 + 4 * I, Rational(3, 2)) == 2 + 11 * I
assert Pow(6 + 8 * I, Rational(3, 2)) == 2 * sqrt(2) * (2 + 11 * I)
n, d = (3 + 4 * I), (3 - 4 * I)**3
a = n / d
assert a.args == (1 / d, n)
eq = sqrt(a)
assert eq.args == (a, S.Half)
assert expand_multinomial(eq) == sqrt((-117 + 44 * I) * (3 + 4 * I)) / 125
assert eq.expand() == (7 - 24 * I) / 125
# issue 12775
# pos im part
assert sqrt(2 * I) == (1 + I)
assert sqrt(2 * 9 * I) == Mul(3, 1 + I, evaluate=False)
assert Pow(2 * I, 3 * S.Half) == (1 + I)**3
# neg im part
assert sqrt(-I / 2) == Mul(S.Half, 1 - I, evaluate=False)
# fractional im part
assert Pow(Rational(-9, 2) * I, Rational(3, 2)) == 27 * (1 - I)**3 / 8
def test_issue_5728():
b = x*sqrt(y)
a = sqrt(b)
c = sqrt(sqrt(x)*y)
assert powsimp(a*b) == sqrt(b)**3
assert powsimp(a*b**2*sqrt(y)) == sqrt(y)*a**5
assert powsimp(a*x**2*c**3*y) == c**3*a**5
assert powsimp(a*x*c**3*y**2) == c**7*a
assert powsimp(x*c**3*y**2) == c**7
assert powsimp(x*c**3*y) == x*y*c**3
assert powsimp(sqrt(x)*c**3*y) == c**5
assert powsimp(sqrt(x)*a**3*sqrt(y)) == sqrt(x)*sqrt(y)*a**3
assert powsimp(Mul(sqrt(x)*c**3*sqrt(y), y, evaluate=False)) == \
sqrt(x)*sqrt(y)**3*c**3
assert powsimp(a**2*a*x**2*y) == a**7
# symbolic powers work, too
b = x**y*y
a = b*sqrt(b)
assert a.is_Mul is True
assert powsimp(a) == sqrt(b)**3
# as does exp
a = x*exp(y*Rational(2, 3))
assert powsimp(a*sqrt(a)) == sqrt(a)**3
assert powsimp(a**2*sqrt(a)) == sqrt(a)**5
assert powsimp(a**2*sqrt(sqrt(a))) == sqrt(sqrt(a))**9
def test_issue_7638():
f = pi / log(sqrt(2))
assert ((1 + I)**(I * f / 2))**0.3 == (1 + I)**(0.15 * I * f)
# if 1/3 -> 1.0/3 this should fail since it cannot be shown that the
# sign will be +/-1; for the previous "small arg" case, it didn't matter
# that this could not be proved
assert (1 + I)**(4 * I * f) == ((1 + I)**(12 * I * f))**Rational(1, 3)
assert (((1 + I)**(I * (1 + 7 * f)))**Rational(1, 3)).exp == Rational(1, 3)
r = symbols('r', real=True)
assert sqrt(r**2) == abs(r)
assert cbrt(r**3) != r
assert sqrt(Pow(2 * I, 5 * S.Half)) != (2 * I)**Rational(5, 4)
p = symbols('p', positive=True)
assert cbrt(p**2) == p**Rational(2, 3)
assert NS(((0.2 + 0.7 * I)**(0.7 + 1.0 * I))**(0.5 - 0.1 * I),
1) == '0.4 + 0.2*I'
assert sqrt(1 / (1 + I)) == sqrt(1 - I) / sqrt(2) # or 1/sqrt(1 + I)
e = 1 / (1 - sqrt(2))
assert sqrt(e) == I / sqrt(-1 + sqrt(2))
assert e**Rational(-1, 2) == -I * sqrt(-1 + sqrt(2))
assert sqrt((cos(1)**2 + sin(1)**2 -
1)**(3 + I)).exp in [S.Half, Rational(3, 2) + I / 2]
assert sqrt(r**Rational(4, 3)) != r**Rational(2, 3)
assert sqrt((p + I)**Rational(4, 3)) == (p + I)**Rational(2, 3)
assert sqrt((p - p**2 * I)**2) == p - p**2 * I
assert sqrt((p + r * I)**2) != p + r * I
e = (1 + I / 5)
assert sqrt(e**5) == e**(5 * S.Half)
assert sqrt(e**6) == e**3
assert sqrt((1 + I * r)**6) != (1 + I * r)**3
def test_issue_19869():
t = symbols('t')
assert (maximum(sqrt(3) * (t - 1) / (3 * sqrt(t**2 + 1)),
t)) == sqrt(3) / 3
def test_issue_6653():
x = Symbol('x')
assert (1 / sqrt(1 + sin(x**2))).series(x, 0, 3) == 1 - x**2 / 2 + O(x**3)
def eval(cls, arg, base=None):
from sympy import unpolarify
from sympy.calculus import AccumBounds
from sympy.sets.setexpr import SetExpr
from sympy.functions.elementary.complexes import Abs
arg = sympify(arg)
if base is not None:
base = sympify(base)
if base == 1:
if arg == 1:
return S.NaN
else:
return S.ComplexInfinity
try:
# handle extraction of powers of the base now
# or else expand_log in Mul would have to handle this
n = multiplicity(base, arg)
if n:
return n + log(arg / base**n) / log(base)
else:
return log(arg) / log(base)
except ValueError:
pass
if base is not S.Exp1:
return cls(arg) / cls(base)
else:
return cls(arg)
if arg.is_Number:
if arg.is_zero:
return S.ComplexInfinity
elif arg is S.One:
return S.Zero
elif arg is S.Infinity:
return S.Infinity
elif arg is S.NegativeInfinity:
return S.Infinity
elif arg is S.NaN:
return S.NaN
elif arg.is_Rational and arg.p == 1:
return -cls(arg.q)
I = S.ImaginaryUnit
if isinstance(arg, exp) and arg.args[0].is_extended_real:
return arg.args[0]
elif isinstance(arg, exp) and arg.args[0].is_number:
r_, i_ = match_real_imag(arg.args[0])
if i_ and i_.is_comparable:
i_ %= 2 * S.Pi
if i_ > S.Pi:
i_ -= 2 * S.Pi
return r_ + expand_mul(i_ * I, deep=False)
elif isinstance(arg, exp_polar):
return unpolarify(arg.exp)
elif isinstance(arg, AccumBounds):
if arg.min.is_positive:
return AccumBounds(log(arg.min), log(arg.max))
else:
return
elif isinstance(arg, SetExpr):
return arg._eval_func(cls)
if arg.is_number:
if arg.is_negative:
return S.Pi * I + cls(-arg)
elif arg is S.ComplexInfinity:
return S.ComplexInfinity
elif arg is S.Exp1:
return S.One
if arg.is_zero:
return S.ComplexInfinity
# don't autoexpand Pow or Mul (see the issue 3351):
if not arg.is_Add:
coeff = arg.as_coefficient(I)
if coeff is not None:
if coeff is S.Infinity:
return S.Infinity
elif coeff is S.NegativeInfinity:
return S.Infinity
elif coeff.is_Rational:
if coeff.is_nonnegative:
return S.Pi * I * S.Half + cls(coeff)
else:
return -S.Pi * I * S.Half + cls(-coeff)
if arg.is_number and arg.is_algebraic:
# Match arg = coeff*(r_ + i_*I) with coeff>0, r_ and i_ real.
coeff, arg_ = arg.as_independent(I, as_Add=False)
if coeff.is_negative:
coeff *= -1
arg_ *= -1
arg_ = expand_mul(arg_, deep=False)
r_, i_ = arg_.as_independent(I, as_Add=True)
i_ = i_.as_coefficient(I)
if coeff.is_real and i_ and i_.is_real and r_.is_real:
if r_.is_zero:
if i_.is_positive:
return S.Pi * I * S.Half + cls(coeff * i_)
elif i_.is_negative:
return -S.Pi * I * S.Half + cls(coeff * -i_)
else:
from sympy.simplify import ratsimp
# Check for arguments involving rational multiples of pi
t = (i_ / r_).cancel()
t1 = (-t).cancel()
atan_table = {
# first quadrant only
sqrt(3):
S.Pi / 3,
1:
S.Pi / 4,
sqrt(5 - 2 * sqrt(5)):
S.Pi / 5,
sqrt(2) * sqrt(5 - sqrt(5)) / (1 + sqrt(5)):
S.Pi / 5,
sqrt(5 + 2 * sqrt(5)):
S.Pi * Rational(2, 5),
sqrt(2) * sqrt(sqrt(5) + 5) / (-1 + sqrt(5)):
S.Pi * Rational(2, 5),
sqrt(3) / 3:
S.Pi / 6,
sqrt(2) - 1:
S.Pi / 8,
sqrt(2 - sqrt(2)) / sqrt(sqrt(2) + 2):
S.Pi / 8,
sqrt(2) + 1:
S.Pi * Rational(3, 8),
sqrt(sqrt(2) + 2) / sqrt(2 - sqrt(2)):
S.Pi * Rational(3, 8),
sqrt(1 - 2 * sqrt(5) / 5):
S.Pi / 10,
(-sqrt(2) + sqrt(10)) / (2 * sqrt(sqrt(5) + 5)):
S.Pi / 10,
sqrt(1 + 2 * sqrt(5) / 5):
S.Pi * Rational(3, 10),
(sqrt(2) + sqrt(10)) / (2 * sqrt(5 - sqrt(5))):
S.Pi * Rational(3, 10),
2 - sqrt(3):
S.Pi / 12,
(-1 + sqrt(3)) / (1 + sqrt(3)):
S.Pi / 12,
2 + sqrt(3):
S.Pi * Rational(5, 12),
(1 + sqrt(3)) / (-1 + sqrt(3)):
S.Pi * Rational(5, 12)
}
if t in atan_table:
modulus = ratsimp(coeff * Abs(arg_))
if r_.is_positive:
return cls(modulus) + I * atan_table[t]
else:
return cls(modulus) + I * (atan_table[t] - S.Pi)
elif t1 in atan_table:
modulus = ratsimp(coeff * Abs(arg_))
if r_.is_positive:
return cls(modulus) + I * (-atan_table[t1])
else:
return cls(modulus) + I * (S.Pi - atan_table[t1])
def test_issue_6782():
x = Symbol('x')
assert sqrt(sin(x**3)).series(x, 0, 7) == x**Rational(3, 2) + O(x**7)
assert sqrt(sin(x**4)).series(x, 0, 3) == x**2 + O(x**3)
def test_issue_18762():
e, p = symbols('e p')
g0 = sqrt(1 + e**2 - 2 * e * cos(p))
assert len(g0.series(e, 1, 3).args) == 4
def _eval_rewrite_as_Integral(self, *args):
from sympy import Integral, Dummy
z, m = (pi / 2, self.args[0]) if len(self.args) == 1 else self.args
t = Dummy("t")
return Integral(sqrt(1 - m * sin(t)**2), (t, 0, z))
def _eval_rewrite_as_yn(self, nu, z):
return sqrt(2 * z / pi) * yn(nu - S.Half, self.argument)
def fdiff(self, argindex=1):
if argindex == 1:
return 1 / sqrt(self.args[0]**2 - 1)
else:
raise ArgumentIndexError(self, argindex)
