def integrate_adaptive(rhs, jac, y0, x0, xend, atol, rtol, dx0=.0, dx_max=.0,
                       check_callable=False, check_indexing=False, **kwargs):
    """
    Integrates a system of ordinary differential equations.

    Parameters
    ----------
    rhs: callable
        Function with signature f(t, y, fout) which modifies fout *inplace*.
    jac: callable
        Function with signature j(t, y, jmat_out, dfdx_out) which modifies
        jmat_out and dfdx_out *inplace*.
    y0: array_like
        Initial values of the dependent variables.
    x0: float
        Initial value of the independent variable.
    xend: float
        Stopping value for the independent variable.
    atol: float
        Absolute tolerance.
    rtol: float
        Relative tolerance.
    dx0: float
        Initial step-size.
    dx_max: float
        Maximum step-size.
    check_callable: bool (default: False)
        Perform signature sanity checks on ``rhs`` and ``jac``.
    check_indexing: bool (default: False)
        Perform item setting sanity checks on ``rhs`` and ``jac``.
    \*\*kwargs:
        'method': str
            'rosenbrock4', 'dopri5' or 'bs'
        'return_on_error': bool
            Returns on error without raising an excpetion (with ``'success'==False``).
        'autorestart': int
            Useful for autonomous systems where conditions change during integration.
            Will restart the integration with ``x==0``.
        'dx0cb': callable
            Callback for calculating dx0 (make sure to pass ``dx0==0.0``) to enable.
            Signature: ``f(x, y[:]) -> float``.

    Returns
    -------
    (xout, yout, info):
        xout: 1-dimensional array of values for the independent variable
        yout: 2-dimensional array of the dependent variables (axis 1) for
            values corresponding to xout (axis 0)
        info: dictionary with information about the integration
    """
    # Sanity checks to reduce risk of having a segfault:
    jac = _ensure_5args(jac)
    if check_callable:
        _check_callable(rhs, jac, x0, y0)

    if check_indexing:
        _check_indexing(rhs, jac, x0, y0)

    return adaptive(rhs, jac, np.asarray(y0, dtype=np.float64), x0, xend, atol, rtol, dx0, dx_max, **_bs(kwargs))
def integrate_adaptive ( rhs , jac , y0 , x0 , xend , atol , rtol , dx0 = .0 , dx_max = .0 , check_callable = False , check_indexing = False , ** kwargs ) : jac = _ensure_5args ( jac ) if check_callable : _check_callable ( rhs , jac , x0 , y0 ) if check_indexing : _check_indexing ( rhs , jac , x0 , y0 ) return adaptive ( rhs , jac , np . asarray ( y0 , dtype = np . float64 ) , x0 , xend , atol , rtol , dx0 , dx_max , ** _bs ( kwargs ) )
Integrates a system of ordinary differential equations.

    Parameters
    ----------
    rhs: callable
        Function with signature f(t, y, fout) which modifies fout *inplace*.
    jac: callable
        Function with signature j(t, y, jmat_out, dfdx_out) which modifies
        jmat_out and dfdx_out *inplace*.
    y0: array_like
        Initial values of the dependent variables.
    x0: float
        Initial value of the independent variable.
    xend: float
        Stopping value for the independent variable.
    atol: float
        Absolute tolerance.
    rtol: float
        Relative tolerance.
    dx0: float
        Initial step-size.
    dx_max: float
        Maximum step-size.
    check_callable: bool (default: False)
        Perform signature sanity checks on ``rhs`` and ``jac``.
    check_indexing: bool (default: False)
        Perform item setting sanity checks on ``rhs`` and ``jac``.
    \*\*kwargs:
        'method': str
            'rosenbrock4', 'dopri5' or 'bs'
        'return_on_error': bool
            Returns on error without raising an excpetion (with ``'success'==False``).
        'autorestart': int
            Useful for autonomous systems where conditions change during integration.
            Will restart the integration with ``x==0``.
        'dx0cb': callable
            Callback for calculating dx0 (make sure to pass ``dx0==0.0``) to enable.
            Signature: ``f(x, y[:]) -> float``.

    Returns
    -------
    (xout, yout, info):
        xout: 1-dimensional array of values for the independent variable
        yout: 2-dimensional array of the dependent variables (axis 1) for
            values corresponding to xout (axis 0)
        info: dictionary with information about the integration