예제 #1
0
def _solsimp(e, t):
    no_t, has_t = powsimp(expand_mul(e)).as_independent(t)

    no_t = ratsimp(no_t)
    has_t = has_t.replace(exp, lambda a: exp(factor_terms(a)))

    return no_t + has_t
예제 #2
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def _simpsol(soleq):
    lhs = soleq.lhs
    sol = soleq.rhs
    sol = powsimp(sol)
    gens = list(sol.atoms(exp))
    p = Poly(sol, *gens, expand=False)
    gens = [factor_terms(g) for g in gens]
    if not gens:
        gens = p.gens
    syms = [Symbol('C1'), Symbol('C2')]
    terms = []
    for coeff, monom in zip(p.coeffs(), p.monoms()):
        coeff = piecewise_fold(coeff)
        if type(coeff) is Piecewise:
            coeff = Piecewise(*((ratsimp(coef).collect(syms), cond) for coef, cond in coeff.args))
        else:
            coeff = ratsimp(coeff).collect(syms)
        monom = Mul(*(g ** i for g, i in zip(gens, monom)))
        terms.append(coeff * monom)
    return Eq(lhs, Add(*terms))
예제 #3
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    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)

        if arg.is_Pow and arg.base is S.Exp1 and arg.exp.is_extended_real:
            return arg.exp
        I = S.ImaginaryUnit
        if isinstance(arg, exp) and arg.exp.is_extended_real:
            return arg.exp
        elif isinstance(arg, exp) and arg.exp.is_number:
            r_, i_ = match_real_imag(arg.exp)
            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])
예제 #4
0
파일: expr.py 프로젝트: goriccardo/sympy
 def ratsimp(self):
     """See the ratsimp function in sympy.simplify"""
     from sympy.simplify import ratsimp
     return ratsimp(self)
예제 #5
0
 def ratsimp(self):
     """See the ratsimp function in sympy.simplify"""
     from sympy.simplify import ratsimp
     return ratsimp(self)