<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def chi2comb_cdf(q, chi2s, gcoef, lim=1000, atol=1e-4):
 r"""Function distribution of combination of chi-squared distributions. Parameters q : float Value point at which distribution function is to be evaluated. chi2s : ChiSquared Chi-squared distributions. gcoef : float Coefficient of the standard Normal distribution. lim : int Maximum number of integration terms. atol : float Absolute error tolerance. Returns ------- result : float Estimated c.d.f. evaluated at ``q``. error : int 0: completed successfully 1: required accuracy not achieved 2: round-off error possibly significant 3: invalid parameters 4: unable to locate integration parameters 5: out of memory info : Info Algorithm information. """


    int_type = "i"
    if array(int_type, [0]).itemsize != ffi.sizeof("int"):
        int_type = "l"
        if array(int_type, [0]).itemsize != ffi.sizeof("int"):
            raise RuntimeError("Could not infer a proper integer representation.")

    if array("d", [0.0]).itemsize != ffi.sizeof("double"):
        raise RuntimeError("Could not infer a proper double representation.")

    q = float(q)
    c_chi2s = ffi.new("struct chi2comb_chisquareds *")
    c_info = ffi.new("struct chi2comb_info *")

    ncents = array("d", [float(i.ncent) for i in chi2s])
    coefs = array("d", [float(i.coef) for i in chi2s])
    dofs = array(int_type, [int(i.dof) for i in chi2s])

    c_chi2s.ncents = ffi.cast("double *", ncents.buffer_info()[0])
    c_chi2s.coefs = ffi.cast("double *", coefs.buffer_info()[0])
    c_chi2s.dofs = ffi.cast("int *", dofs.buffer_info()[0])
    c_chi2s.n = len(chi2s)

    result = ffi.new("double *")
    errno = c_chi2comb_cdf(q, c_chi2s, gcoef, lim, atol, c_info, result)

    info = Info()
    methods = ["emag", "niterms", "nints", "intv", "truc", "sd", "ncycles"]
    for i in methods:
        setattr(info, i, getattr(c_info, i))

    return (result[0], errno, info)