thomaskeck

# Server Application which should be debugged
def acticvate_remote_post_mortem_debugger():

    def info(type, value, tb):
        import traceback
        traceback.print_exception(type, value, tb) 
    
        import socket
        server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
        server.bind(('127.0.0.1', 8002))

thomaskeck

import scipy.special
import scipy.stats

def binomial_limit(n, k, sigma=1):
    """
    Calculates the upper and lower limit for the probability p of a binomial distribution
    if an experiment yielded k successes for n trials.
    The confidence level for the limits is given in sigmas of the gaussian distribution.
    In contrast to other methods (see https://en.wikipedia.org/wiki/Binomial_proportion_confidence_interval),
    this method is exact in the sense that there is no approximation involved for the binomial distribution.