예제 #1
0
파일: power.py 프로젝트: hrashk/sympy
def integer_nthroot(y, n):
    """
    Return a tuple containing x = floor(y**(1/n))
    and a boolean indicating whether the result is exact (that is,
    whether x**n == y).

    >>> from sympy import integer_nthroot
    >>> integer_nthroot(16,2)
    (4, True)
    >>> integer_nthroot(26,2)
    (5, False)

    """
    y, n = int(y), int(n)
    if y < 0:
        raise ValueError("y must be nonnegative")
    if n < 1:
        raise ValueError("n must be positive")
    if y in (0, 1):
        return y, True
    if n == 1:
        return y, True
    if n == 2:
        x, rem = mpmath_sqrtrem(y)
        return int(x), not rem
    if n > y:
        return 1, False
    # Get initial estimate for Newton's method. Care must be taken to
    # avoid overflow
    try:
        guess = int(y**(1./n) + 0.5)
    except OverflowError:
        exp = _log(y, 2)/n
        if exp > 53:
            shift = int(exp - 53)
            guess = int(2.0**(exp - shift) + 1) << shift
        else:
            guess = int(2.0**exp)
    #print n
    if guess > 2**50:
        # Newton iteration
        xprev, x = -1, guess
        while 1:
            t = x**(n - 1)
            #xprev, x = x, x - (t*x-y)//(n*t)
            xprev, x = x, ((n - 1)*x + y//t)//n
            #print n, x-xprev, abs(x-xprev) < 2
            if abs(x - xprev) < 2:
                break
    else:
        x = guess
    # Compensate
    t = x**n
    while t < y:
        x += 1
        t = x**n
    while t > y:
        x -= 1
        t = x**n
    return x, t == y
예제 #2
0
def integer_nthroot(y, n):
    """
    Return a tuple containing x = floor(y**(1/n))
    and a boolean indicating whether the result is exact (that is,
    whether x**n == y).

    >>> from sympy import integer_nthroot
    >>> integer_nthroot(16,2)
    (4, True)
    >>> integer_nthroot(26,2)
    (5, False)

    """
    y, n = int(y), int(n)
    if y < 0:
        raise ValueError("y must be nonnegative")
    if n < 1:
        raise ValueError("n must be positive")
    if y in (0, 1):
        return y, True
    if n == 1:
        return y, True
    if n == 2:
        x, rem = mpmath_sqrtrem(y)
        return int(x), not rem
    if n > y:
        return 1, False
    # Get initial estimate for Newton's method. Care must be taken to
    # avoid overflow
    try:
        guess = int(y**(1./n) + 0.5)
    except OverflowError:
        exp = _log(y, 2)/n
        if exp > 53:
            shift = int(exp - 53)
            guess = int(2.0**(exp - shift) + 1) << shift
        else:
            guess = int(2.0**exp)
    #print n
    if guess > 2**50:
        # Newton iteration
        xprev, x = -1, guess
        while 1:
            t = x**(n - 1)
            #xprev, x = x, x - (t*x-y)//(n*t)
            xprev, x = x, ((n - 1)*x + y//t)//n
            #print n, x-xprev, abs(x-xprev) < 2
            if abs(x - xprev) < 2:
                break
    else:
        x = guess
    # Compensate
    t = x**n
    while t < y:
        x += 1
        t = x**n
    while t > y:
        x -= 1
        t = x**n
    return x, t == y