def expovariate(self, lambd):
        """Exponential distribution.

        lambd is 1.0 divided by the desired mean.  (The parameter would be
        called "lambda", but that is a reserved word in Python.)  Returned
        values range from 0 to positive infinity.

        """
        # lambd: rate lambd = 1/mean
        # ('lambda' is a Python reserved word)

        random = self.random
        u = random()
        while 1e-7 <= u:
            u = random()
        return -_log(u)/lambd

## -------------------- von Mises distribution --------------------
dataset/ETHPy150Open deanhiller/databus/webapp/play1.3.x/python/Lib/random.py/Random.expovariate/swapped operands of `<=`