rockgen.py 文件源码

def skewedGauss(mu, sigma, bounds, upperSkewed=True):
    raw = gauss(mu, sigma)

    # Quicker to check an extra condition than do unnecessary math. . . .
    if raw < mu and not upperSkewed:
        out = ((mu - bounds[0]) / (3 * sigma)) * raw + ((mu * (bounds[0] - (mu - 3 * sigma))) / (3 * sigma))
    elif raw > mu and upperSkewed:
        out = ((mu - bounds[1]) / (3 * -sigma)) * raw + ((mu * (bounds[1] - (mu + 3 * sigma))) / (3 * -sigma))
    else:
        out = raw

    return out


# @todo create a def for generating an alpha and beta for a beta distribution
#   given a mu, sigma, and an upper and lower bound.  This proved faster in
#   profiling in addition to providing a much better distribution curve
#   provided multiple iterations happen within this function; otherwise it was
#   slower.
#   This might be a scratch because of the bounds placed on mu and sigma:
#
#   For alpha > 1 and beta > 1:
#   mu^2 - mu^3           mu^3 - mu^2 + mu
#   ----------- < sigma < ----------------
#      1 + mu                  2 - mu
#
##def generateBeta(mu, sigma, scale, repitions=1):
##    results = []
##
##    return results

# Creates rock objects: