Beispiel #1
0
def integrateFullOrbit_c(pot, yo, t, int_method, rtol=None, atol=None):
    """
    NAME:
       integrateFullOrbit_c
    PURPOSE:
       C integrate an ode for a FullOrbit
    INPUT:
       pot - Potential or list of such instances
       yo - initial condition [q,p]
       t - set of times at which one wants the result
       int_method= 'leapfrog_c', 'rk4_c', 'rk6_c', 'symplec4_c'
       rtol, atol
    OUTPUT:
       (y,err)
       y : array, shape (len(y0), len(t))
       Array containing the value of y for each desired time in t, \
       with the initial value y0 in the first row.
       err: error message, if not zero: 1 means maximum step reduction happened for adaptive integrators
    HISTORY:
       2011-11-13 - Written - Bovy (IAS)
    """
    rtol, atol = _parse_tol(rtol, atol)
    npot, pot_type, pot_args = _parse_pot(pot)
    int_method_c = _parse_integrator(int_method)

    #Set up result array
    result = nu.empty((len(t), 6))
    err = ctypes.c_int(0)

    #Set up the C code
    ndarrayFlags = ('C_CONTIGUOUS', 'WRITEABLE')
    integrationFunc = _lib.integrateFullOrbit
    integrationFunc.argtypes = [
        ndpointer(dtype=nu.float64, flags=ndarrayFlags), ctypes.c_int,
        ndpointer(dtype=nu.float64, flags=ndarrayFlags), ctypes.c_int,
        ndpointer(dtype=nu.int32, flags=ndarrayFlags),
        ndpointer(dtype=nu.float64, flags=ndarrayFlags), ctypes.c_double,
        ctypes.c_double,
        ndpointer(dtype=nu.float64, flags=ndarrayFlags),
        ctypes.POINTER(ctypes.c_int), ctypes.c_int
    ]

    #Array requirements, first store old order
    f_cont = [yo.flags['F_CONTIGUOUS'], t.flags['F_CONTIGUOUS']]
    yo = nu.require(yo, dtype=nu.float64, requirements=['C', 'W'])
    t = nu.require(t, dtype=nu.float64, requirements=['C', 'W'])
    result = nu.require(result, dtype=nu.float64, requirements=['C', 'W'])

    #Run the C code
    integrationFunc(yo, ctypes.c_int(len(t)), t, ctypes.c_int(npot),
                    pot_type, pot_args, ctypes.c_double(rtol),
                    ctypes.c_double(atol), result, ctypes.byref(err),
                    ctypes.c_int(int_method_c))

    #Reset input arrays
    if f_cont[0]: yo = nu.asfortranarray(yo)
    if f_cont[1]: t = nu.asfortranarray(t)

    return (result, err.value)
def integrateFullOrbit_dxdv_c(pot,yo,dyo,t,int_method,rtol=None,atol=None): #pragma: no cover because not included in v1, uncover when included
    """
    NAME:
       integrateFullOrbit_dxdv_c
    PURPOSE:
       C integrate an ode for a planarOrbit+phase space volume dxdv
    INPUT:
       pot - Potential or list of such instances
       yo - initial condition [q,p]
       dyo - initial condition [dq,dp]
       t - set of times at which one wants the result
       int_method= 'leapfrog_c', 'rk4_c', 'rk6_c', 'symplec4_c'
       rtol, atol
    OUTPUT:
       (y,err)
       y : array, shape (len(y0), len(t))
       Array containing the value of y for each desired time in t, \
       with the initial value y0 in the first row.
       err: error message if not zero, 1: maximum step reduction happened for adaptive integrators
    HISTORY:
       2011-11-13 - Written - Bovy (IAS)
    """
    rtol, atol= _parse_tol(rtol,atol)
    npot, pot_type, pot_args= _parse_pot(pot)
    int_method_c= _parse_integrator(int_method)
    yo= nu.concatenate((yo,dyo))

    #Set up result array
    result= nu.empty((len(t),12))
    err= ctypes.c_int(0)

    #Set up the C code
    ndarrayFlags= ('C_CONTIGUOUS','WRITEABLE')
    integrationFunc= _lib.integrateFullOrbit_dxdv
    integrationFunc.argtypes= [ndpointer(dtype=nu.float64,flags=ndarrayFlags),
                               ctypes.c_int,                             
                               ndpointer(dtype=nu.float64,flags=ndarrayFlags),
                               ctypes.c_int,
                               ndpointer(dtype=nu.int32,flags=ndarrayFlags),
                               ndpointer(dtype=nu.float64,flags=ndarrayFlags),
                               ctypes.c_double,
                               ctypes.c_double,
                               ndpointer(dtype=nu.float64,flags=ndarrayFlags),
                               ctypes.POINTER(ctypes.c_int),
                               ctypes.c_int]

    #Array requirements, first store old order
    f_cont= [yo.flags['F_CONTIGUOUS'],
             t.flags['F_CONTIGUOUS']]
    yo= nu.require(yo,dtype=nu.float64,requirements=['C','W'])
    t= nu.require(t,dtype=nu.float64,requirements=['C','W'])
    result= nu.require(result,dtype=nu.float64,requirements=['C','W'])

    #Run the C code
    integrationFunc(yo,
                    ctypes.c_int(len(t)),
                    t,
                    ctypes.c_int(npot),
                    pot_type,
                    pot_args,
                    ctypes.c_double(rtol),ctypes.c_double(atol),
                    result,
                    ctypes.byref(err),
                    ctypes.c_int(int_method_c))

    #Reset input arrays
    if f_cont[0]: yo= nu.asfortranarray(yo)
    if f_cont[1]: t= nu.asfortranarray(t)

    return (result,err.value)
def integrateFullOrbit_c(pot,yo,t,int_method,rtol=None,atol=None,dt=None):
    """
    NAME:
       integrateFullOrbit_c
    PURPOSE:
       C integrate an ode for a FullOrbit
    INPUT:
       pot - Potential or list of such instances
       yo - initial condition [q,p]
       t - set of times at which one wants the result
       int_method= 'leapfrog_c', 'rk4_c', 'rk6_c', 'symplec4_c'
       rtol, atol
       dt= (None) force integrator to use this stepsize (default is to automatically determine one))
    OUTPUT:
       (y,err)
       y : array, shape (len(y0), len(t))
       Array containing the value of y for each desired time in t, \
       with the initial value y0 in the first row.
       err: error message, if not zero: 1 means maximum step reduction happened for adaptive integrators
    HISTORY:
       2011-11-13 - Written - Bovy (IAS)
    """
    rtol, atol= _parse_tol(rtol,atol)
    npot, pot_type, pot_args= _parse_pot(pot)
    int_method_c= _parse_integrator(int_method)
    if dt is None: 
        dt= -9999.99

    #Set up result array
    result= nu.empty((len(t),6))
    err= ctypes.c_int(0)

    #Set up the C code
    ndarrayFlags= ('C_CONTIGUOUS','WRITEABLE')
    integrationFunc= _lib.integrateFullOrbit
    integrationFunc.argtypes= [ndpointer(dtype=nu.float64,flags=ndarrayFlags),
                               ctypes.c_int,                             
                               ndpointer(dtype=nu.float64,flags=ndarrayFlags),
                               ctypes.c_int,
                               ndpointer(dtype=nu.int32,flags=ndarrayFlags),
                               ndpointer(dtype=nu.float64,flags=ndarrayFlags),
                               ctypes.c_double,
                               ctypes.c_double,
                               ctypes.c_double,
                               ndpointer(dtype=nu.float64,flags=ndarrayFlags),
                               ctypes.POINTER(ctypes.c_int),
                               ctypes.c_int]

    #Array requirements, first store old order
    f_cont= [yo.flags['F_CONTIGUOUS'],
             t.flags['F_CONTIGUOUS']]
    yo= nu.require(yo,dtype=nu.float64,requirements=['C','W'])
    t= nu.require(t,dtype=nu.float64,requirements=['C','W'])
    result= nu.require(result,dtype=nu.float64,requirements=['C','W'])

    #Run the C code
    integrationFunc(yo,
                    ctypes.c_int(len(t)),
                    t,
                    ctypes.c_int(npot),
                    pot_type,
                    pot_args,
                    ctypes.c_double(dt),
                    ctypes.c_double(rtol),ctypes.c_double(atol),
                    result,
                    ctypes.byref(err),
                    ctypes.c_int(int_method_c))

    #Reset input arrays
    if f_cont[0]: yo= nu.asfortranarray(yo)
    if f_cont[1]: t= nu.asfortranarray(t)

    return (result,err.value)