def MatMul(expr, assumptions):
factor, mmul = expr.as_coeff_mmul()
if all(ask(Q.invertible(arg), assumptions) for arg in mmul.args):
return True
if any(ask(Q.invertible(arg), assumptions) is False
for arg in mmul.args):
return False
def Mul(expr, assumptions):
"""
Integer*Integer -> Integer
Integer*Irrational -> !Integer
Odd/Even -> !Integer
Integer*Rational -> ?
"""
if expr.is_number:
return AskIntegerHandler._number(expr, assumptions)
_output = True
for arg in expr.args:
if not ask(Q.integer(arg), assumptions):
if arg.is_Rational:
if arg.q == 2:
return ask(Q.even(2*expr), assumptions)
if ~(arg.q & 1):
return None
elif ask(Q.irrational(arg), assumptions):
if _output:
_output = False
else:
return
else:
return
else:
return _output
def MatPow(expr, assumptions):
# only for integer powers
base, exp = expr.args
int_exp = ask(Q.integer(exp), assumptions)
if int_exp:
return ask(Q.unitary(base), assumptions)
return None
def refine_atan2(expr, assumptions):
"""
Handler for the atan2 function
Examples
========
>>> from sympy import Symbol, Q, refine, atan2
>>> from sympy.assumptions.refine import refine_atan2
>>> from sympy.abc import x, y
>>> refine_atan2(atan2(y,x), Q.real(y) & Q.positive(x))
atan(y/x)
>>> refine_atan2(atan2(y,x), Q.negative(y) & Q.negative(x))
atan(y/x) - pi
>>> refine_atan2(atan2(y,x), Q.positive(y) & Q.negative(x))
atan(y/x) + pi
"""
from sympy.functions.elementary.complexes import atan
from sympy.core import S
y, x = expr.args
if ask(Q.real(y) & Q.positive(x), assumptions):
return atan(y / x)
elif ask(Q.negative(y) & Q.negative(x), assumptions):
return atan(y / x) - S.Pi
elif ask(Q.positive(y) & Q.negative(x), assumptions):
return atan(y / x) + S.Pi
else:
return expr
def refine_abs(expr, assumptions):
"""
Handler for the absolute value.
Examples
========
>>> from sympy import Symbol, Q, refine, Abs
>>> from sympy.assumptions.refine import refine_abs
>>> from sympy.abc import x
>>> refine_abs(Abs(x), Q.real(x))
>>> refine_abs(Abs(x), Q.positive(x))
x
>>> refine_abs(Abs(x), Q.negative(x))
-x
"""
from sympy.core.logic import fuzzy_not
arg = expr.args[0]
if ask(Q.real(arg), assumptions) and fuzzy_not(ask(Q.negative(arg), assumptions)):
# if it's nonnegative
return arg
if ask(Q.negative(arg), assumptions):
return -arg
def Basic(expr, assumptions):
_real = ask(expr, Q.real, assumptions)
if _real:
_rational = ask(expr, Q.rational, assumptions)
if _rational is None: return None
return not _rational
else: return _real
def Mul(expr, assumptions):
"""
Return True if expr is bounded, False if not and None if unknown.
TRUTH TABLE
B U ?
s /s
+---+---+---+---+
B | B | U | ? | legend:
+---+---+---+---+ B = Bounded
U | U | U | ? | U = Unbounded
+---+---+---+ ? = unknown boundedness
? | ? | s = signed (hence nonzero)
+---+---+ /s = not signed
"""
result = True
for arg in expr.args:
_bounded = ask(Q.bounded(arg), assumptions)
if _bounded:
continue
elif _bounded is None:
if result is None:
return None
if ask(Q.nonzero(arg), assumptions) is None:
return None
if result is not False:
result = None
else:
result = False
return result
def test_functions_in_assumptions():
from sympy.logic.boolalg import Equivalent, Xor
x = symbols("x")
assert ask(x, Q.negative, Q.real(x) >> Q.positive(x)) is False
assert ask(x, Q.negative, Equivalent(Q.real(x), Q.positive(x))) is False
assert ask(x, Q.negative, Xor(Q.real(x), Q.negative(x))) is False
def refine_exp(expr, assumptions):
"""
Handler for exponential function.
>>> from sympy import Symbol, Q, exp, I, pi
>>> from sympy.assumptions.refine import refine_exp
>>> from sympy.abc import x
>>> refine_exp(exp(pi*I*2*x), Q.real(x))
>>> refine_exp(exp(pi*I*2*x), Q.integer(x))
1
"""
arg = expr.args[0]
if arg.is_Mul:
coeff = arg.as_coefficient(S.Pi*S.ImaginaryUnit)
if coeff:
if ask(Q.integer(2*coeff), assumptions):
if ask(Q.even(coeff), assumptions):
return S.One
elif ask(Q.odd(coeff), assumptions):
return S.NegativeOne
elif ask(Q.even(coeff + S.Half), assumptions):
return -S.ImaginaryUnit
elif ask(Q.odd(coeff + S.Half), assumptions):
return S.ImaginaryUnit
def test_extended_real():
x = symbols('x')
assert ask(x, Q.extended_real, Assume(x, Q.positive)) == True
assert ask(-x, Q.extended_real, Assume(x, Q.positive)) == True
assert ask(-x, Q.extended_real, Assume(x, Q.negative)) == True
assert ask(x+S.Infinity, Q.extended_real, Assume(x, Q.real)) == True
def Basic(expr, assumptions):
_integer = ask(Q.integer(expr), assumptions)
if _integer:
_even = ask(Q.even(expr), assumptions)
if _even is None: return None
return not _even
return _integer
def refine_Pow(expr, assumptions):
"""
Handler for instances of Pow.
>>> from sympy import Symbol, Assume, Q
>>> from sympy.assumptions.refine import refine_Pow
>>> from sympy.abc import x
>>> refine_Pow((-1)**x, Assume(x, Q.real))
>>> refine_Pow((-1)**x, Assume(x, Q.even))
1
>>> refine_Pow((-1)**x, Assume(x, Q.odd))
-1
"""
from sympy.core import Pow, Rational
from sympy.functions import sign
if ask(expr.base, Q.real, assumptions):
if expr.base.is_number:
if ask(expr.exp, Q.even, assumptions):
return abs(expr.base) ** expr.exp
if ask(expr.exp, Q.odd, assumptions):
return sign(expr.base) * abs(expr.base) ** expr.exp
if isinstance(expr.exp, Rational):
if type(expr.base) is Pow:
return abs(expr.base.base) ** (expr.base.exp * expr.exp)
def MatPow(expr, assumptions):
# only for integer powers
base, exp = expr.args
int_exp = ask(Q.integer(exp), assumptions)
if int_exp and ask(~Q.negative(exp), assumptions):
return ask(Q.fullrank(base), assumptions)
return None
def Mul(expr, assumptions):
"""
Even * Integer -> Even
Even * Odd -> Even
Integer * Odd -> ?
Odd * Odd -> Odd
"""
if expr.is_number:
return AskEvenHandler._number(expr, assumptions)
even, odd, irrational = False, 0, False
for arg in expr.args:
# check for all integers and at least one even
if ask(Q.integer(arg), assumptions):
if ask(Q.even(arg), assumptions):
even = True
elif ask(Q.odd(arg), assumptions):
odd += 1
elif ask(Q.irrational(arg), assumptions):
# one irrational makes the result False
# two makes it undefined
if irrational:
break
irrational = True
else:
break
else:
if irrational:
return False
if even:
return True
if odd == len(expr.args):
return False
def test_extended_real():
x = symbols('x')
assert ask(Q.extended_real(x), Q.positive(x)) == True
assert ask(Q.extended_real(-x), Q.positive(x)) == True
assert ask(Q.extended_real(-x), Q.negative(x)) == True
assert ask(Q.extended_real(x+S.Infinity), Q.real(x)) == True
def MatMul(expr, assumptions):
factor, mmul = expr.as_coeff_mmul()
if (all(ask(Q.orthogonal(arg), assumptions) for arg in mmul.args) and
factor == 1):
return True
if any(ask(Q.invertible(arg), assumptions) == False
for arg in mmul.args):
return False
def test_remove_safe():
global_assumptions.add(Q.integer(x))
with assuming():
assert ask(Q.integer(x))
global_assumptions.remove(Q.integer(x))
assert not ask(Q.integer(x))
assert ask(Q.integer(x))
global_assumptions.clear() # for the benefit of other tests
def Pow(expr, assumptions):
"""
Integer**Integer -> !Prime
"""
if expr.is_number:
return AskPrimeHandler._number(expr, assumptions)
if ask(Q.integer(expr.exp), assumptions) and ask(Q.integer(expr.base), assumptions):
return False
def test_custom_context():
"""Test ask with custom assumptions context"""
x = symbols('x')
assert ask(x, Q.integer) == None
local_context = AssumptionsContext()
local_context.add(Assume(x, Q.integer))
assert ask(x, Q.integer, context = local_context) == True
assert ask(x, Q.integer) == None
def MatMul(expr, assumptions):
factor, mmul = expr.as_coeff_mmul()
if (all(ask(Q.positive_definite(arg), assumptions)
for arg in mmul.args) and factor > 0):
return True
if len(mmul.args) >= 2 and mmul.args[0] == mmul.args[-1].T:
return ask(Q.positive_definite(
MatMul(*mmul.args[1:-1])), assumptions)
def test_global():
"""Test ask with global assumptions"""
x = symbols('x')
assert ask(x, Q.integer) == None
global_assumptions.add(Assume(x, Q.integer))
assert ask(x, Q.integer) == True
global_assumptions.clear()
assert ask(x, Q.integer) == None
def MatMul(expr, assumptions):
factor, mmul = expr.as_coeff_mmul()
if all(ask(Q.symmetric(arg), assumptions) for arg in mmul.args):
return True
if len(mmul.args) >= 2 and mmul.args[0] == mmul.args[-1].T:
if len(mmul.args) == 2:
return True
return ask(Q.symmetric(MatMul(*mmul.args[1:-1])), assumptions)
def log(expr, assumptions):
r = ask(Q.real(expr.args[0]), assumptions)
if r is not True:
return r
if ask(Q.positive(expr.args[0] - 1), assumptions):
return True
if ask(Q.negative(expr.args[0] - 1), assumptions):
return False
def Pow(expr, assumptions):
"""
Hermitian**Integer -> Hermitian
"""
if expr.is_number:
return AskRealHandler._number(expr, assumptions)
if ask(Q.hermitian(expr.base), assumptions):
if ask(Q.integer(expr.exp), assumptions):
return True
def MatPow(expr, assumptions):
# only for integer powers
base, exp = expr.args
int_exp = ask(Q.integer(exp), assumptions)
if not int_exp:
return None
if exp.is_negative == False:
return ask(Q.integer_elements(base), assumptions)
return None
def Equivalent(expr, assumptions):
p, q = expr.args
pt = ask(p, assumptions=assumptions)
if pt is None:
return None
qt = ask(q, assumptions=assumptions)
if qt is None:
return None
return pt == qt
def MatrixSlice(expr, assumptions):
# TODO: implement sathandlers system for the matrices.
# Now it duplicates the general fact: Implies(Q.diagonal, Q.symmetric).
if ask(Q.diagonal(expr), assumptions):
return True
if not expr.on_diag:
return None
else:
return ask(Q.symmetric(expr.parent), assumptions)
def Pow(expr, assumptions):
if expr.is_number: return expr.evalf() > 0
if ask(expr.base, Q.positive, assumptions):
return True
if ask(expr.base, Q.negative, assumptions):
if ask(expr.exp, Q.even, assumptions):
return True
if ask(expr.exp, Q.even, assumptions):
return False
def Pow(expr, assumptions):
if expr.is_number:
return AskEvenHandler._number(expr, assumptions)
if ask(Q.integer(expr.exp), assumptions):
if ask(Q.positive(expr.exp), assumptions):
return ask(Q.even(expr.base), assumptions)
elif ask(~Q.negative(expr.exp) & Q.odd(expr.base), assumptions):
return False
elif expr.base is S.NegativeOne:
return False
def Mul(expr, assumptions):
if expr.is_number:
return AskPositiveHandler._number(expr, assumptions)
result = True
for arg in expr.args:
if ask(arg, Q.positive, assumptions): continue
elif ask(arg, Q.negative, assumptions):
result = result ^ True
else: return
return result
def _(expr, assumptions):
if not expr.on_diag:
return None
else:
return ask(Q.invertible(expr.parent), assumptions)
def _(expr, assumptions):
if not expr.on_diag:
return None
else:
return ask(Q.positive_definite(expr.parent), assumptions)
def MatAdd(expr, assumptions):
return all(ask(Q.symmetric(arg), assumptions) for arg in expr.args)
def MS_elements(predicate, expr, assumptions):
""" Matrix Slice elements """
return ask(predicate(expr.parent), assumptions)
def sin(expr, assumptions):
if ask(expr.args[0], Q.real, assumptions):
return True
def Abs(expr, assumptions):
return ask(expr.args[0], Q.integer, assumptions)
def _(expr, assumptions):
factor, matrices = expr.as_coeff_matrices()
if all(ask(Q.upper_triangular(m), assumptions) for m in matrices):
return True
def _(expr, assumptions):
if not expr.on_diag:
return None
else:
return ask(Q.unitary(expr.parent), assumptions)
def _(expr, assumptions):
if all(ask(Q.fullrank(arg), assumptions) for arg in expr.args):
return True
def _(expr, assumptions):
return ask(Q.fullrank(expr.arg), assumptions)
def _(expr, assumptions):
if ask(Q.orthogonal(expr.parent), assumptions):
return True
def _(expr, assumptions):
# a power of a positive definite matrix is positive definite
if ask(Q.positive_definite(expr.args[0]), assumptions):
return True
def _(expr, assumptions):
if all(ask(Q.positive_definite(arg), assumptions) for arg in expr.args):
return True
def _(expr, assumptions):
return ask(Q.invertible(expr.arg), assumptions)
def _(expr, assumptions):
if all(ask(Q.upper_triangular(arg), assumptions) for arg in expr.args):
return True
def _(expr, assumptions):
return ask(Q.unitary(expr.arg), assumptions)
def _(expr, assumptions):
factor, mmul = expr.as_coeff_mmul()
if all(ask(Q.invertible(arg), assumptions) for arg in mmul.args):
return True
if any(ask(Q.invertible(arg), assumptions) is False for arg in mmul.args):
return False
def _(expr, assumptions):
return ask(Q.upper_triangular(expr.arg), assumptions)
def Pow(expr, assumptions):
return expr.exp.is_Rational and ask(expr.base, 'algebraic', assumptions)
def Transpose(expr, assumptions):
return ask(Q.symmetric(expr.arg), assumptions)
def _(expr, assumptions):
if (not expr.is_square or ask(Q.invertible(expr), assumptions) is False):
return False
if Q.unitary(expr) in conjuncts(assumptions):
return True
def _(expr, assumptions):
if not expr.on_diag:
return None
else:
return ask(Q.upper_triangular(expr.parent), assumptions)
def _(expr, assumptions):
if not expr.on_diag:
return None
else:
return ask(Q.orthogonal(expr.parent), assumptions)
def _(expr, assumptions):
return ask(Q.orthogonal(expr.arg), assumptions)
def _is_coeff(factor):
return ask(Q.algebraic(factor))
def _(expr, assumptions):
if (len(expr.args) == 1 and ask(Q.orthogonal(expr.args[0]), assumptions)):
return True
def ZeroMatrix(expr, assumptions):
return ask(Q.square(expr), assumptions)
def _(expr, assumptions):
if expr.rowblocksizes != expr.colblocksizes:
return None
return fuzzy_and([ask(Q.invertible(a), assumptions) for a in expr.diag])
def BM_elements(predicate, expr, assumptions):
""" Block Matrix elements """
return all(ask(predicate(b), assumptions) for b in expr.blocks)
def _(expr, assumptions):
return ask(Q.positive_definite(expr.arg), assumptions)
