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actionAngleStaeckel_c.py
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actionAngleStaeckel_c.py
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import os
import sys
import distutils.sysconfig as sysconfig
import warnings
import ctypes
import ctypes.util
import numpy
from numpy.ctypeslib import ndpointer
from galpy.util import galpyWarning
from galpy.util import bovy_coords
#Find and load the library
_lib= None
outerr= None
PY3= sys.version > '3'
if PY3:
_ext_suffix= sysconfig.get_config_var('EXT_SUFFIX')
else: #pragma: no cover
_ext_suffix= '.so'
for path in sys.path:
try:
_lib = ctypes.CDLL(os.path.join(path,'galpy_actionAngle_c%s' % _ext_suffix))
except OSError as e:
if os.path.exists(os.path.join(path,'galpy_actionAngle_c%s' % _ext_suffix)): #pragma: no cover
outerr= e
_lib = None
else:
break
if _lib is None: #pragma: no cover
if not outerr is None:
warnings.warn("actionAngleStaeckel_c extension module not loaded, because of error '%s' " % outerr,
galpyWarning)
else:
warnings.warn("actionAngleStaeckel_c extension module not loaded, because galpy_actionAngle_c%s image was not found" % _ext_suffix,
galpyWarning)
_ext_loaded= False
else:
_ext_loaded= True
def actionAngleStaeckel_c(pot,delta,R,vR,vT,z,vz,u0=None,order=10):
"""
NAME:
actionAngleStaeckel_c
PURPOSE:
Use C to calculate actions using the Staeckel approximation
INPUT:
pot - Potential or list of such instances
delta - focal length of prolate spheroidal coordinates
R, vR, vT, z, vz - coordinates (arrays)
u0= (None) if set, u0 to use
order= (10) order of Gauss-Legendre integration of the relevant integrals
OUTPUT:
(jr,jz,err)
jr,jz : array, shape (len(R))
err - non-zero if error occured
HISTORY:
2012-12-01 - Written - Bovy (IAS)
"""
if u0 is None:
u0, dummy= bovy_coords.Rz_to_uv(R,z,delta=numpy.atleast_1d(delta))
#Parse the potential
from galpy.orbit.integrateFullOrbit import _parse_pot
npot, pot_type, pot_args= _parse_pot(pot,potforactions=True)
#Parse delta
delta= numpy.atleast_1d(delta)
ndelta= len(delta)
#Set up result arrays
jr= numpy.empty(len(R))
jz= numpy.empty(len(R))
err= ctypes.c_int(0)
#Set up the C code
ndarrayFlags= ('C_CONTIGUOUS','WRITEABLE')
actionAngleStaeckel_actionsFunc= _lib.actionAngleStaeckel_actions
actionAngleStaeckel_actionsFunc.argtypes= [ctypes.c_int,
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.c_int,
ndpointer(dtype=numpy.int32,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.c_int,
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.c_int,
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.POINTER(ctypes.c_int)]
#Array requirements, first store old order
f_cont= [R.flags['F_CONTIGUOUS'],
vR.flags['F_CONTIGUOUS'],
vT.flags['F_CONTIGUOUS'],
z.flags['F_CONTIGUOUS'],
vz.flags['F_CONTIGUOUS'],
u0.flags['F_CONTIGUOUS'],
delta.flags['F_CONTIGUOUS']]
R= numpy.require(R,dtype=numpy.float64,requirements=['C','W'])
vR= numpy.require(vR,dtype=numpy.float64,requirements=['C','W'])
vT= numpy.require(vT,dtype=numpy.float64,requirements=['C','W'])
z= numpy.require(z,dtype=numpy.float64,requirements=['C','W'])
vz= numpy.require(vz,dtype=numpy.float64,requirements=['C','W'])
u0= numpy.require(u0,dtype=numpy.float64,requirements=['C','W'])
delta= numpy.require(delta,dtype=numpy.float64,requirements=['C','W'])
jr= numpy.require(jr,dtype=numpy.float64,requirements=['C','W'])
jz= numpy.require(jz,dtype=numpy.float64,requirements=['C','W'])
#Run the C code
actionAngleStaeckel_actionsFunc(len(R),
R,
vR,
vT,
z,
vz,
u0,
ctypes.c_int(npot),
pot_type,
pot_args,
ctypes.c_int(ndelta),
delta,
ctypes.c_int(order),
jr,
jz,
ctypes.byref(err))
#Reset input arrays
if f_cont[0]: R= numpy.asfortranarray(R)
if f_cont[1]: vR= numpy.asfortranarray(vR)
if f_cont[2]: vT= numpy.asfortranarray(vT)
if f_cont[3]: z= numpy.asfortranarray(z)
if f_cont[4]: vz= numpy.asfortranarray(vz)
if f_cont[5]: u0= numpy.asfortranarray(u0)
if f_cont[6]: delta= numpy.asfortranarray(delta)
return (jr,jz,err.value)
def actionAngleStaeckel_calcu0(E,Lz,pot,delta):
"""
NAME:
actionAngleStaeckel_calcu0
PURPOSE:
Use C to calculate u0 in the Staeckel approximation
INPUT:
E, Lz - energy and angular momentum
pot - Potential or list of such instances
delta - focal length of prolate spheroidal coordinates
OUTPUT:
(u0,err)
u0 : array, shape (len(E))
err - non-zero if error occured
HISTORY:
2012-12-03 - Written - Bovy (IAS)
"""
#Parse the potential
from galpy.orbit.integrateFullOrbit import _parse_pot
npot, pot_type, pot_args= _parse_pot(pot,potforactions=True)
#Set up result arrays
u0= numpy.empty(len(E))
err= ctypes.c_int(0)
#Parse delta
delta= numpy.atleast_1d(delta)
ndelta= len(delta)
#Set up the C code
ndarrayFlags= ('C_CONTIGUOUS','WRITEABLE')
actionAngleStaeckel_actionsFunc= _lib.calcu0
actionAngleStaeckel_actionsFunc.argtypes= [ctypes.c_int,
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.c_int,
ndpointer(dtype=numpy.int32,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.c_int,
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.POINTER(ctypes.c_int)]
#Array requirements, first store old order
f_cont= [E.flags['F_CONTIGUOUS'],
Lz.flags['F_CONTIGUOUS'],
delta.flags['F_CONTIGUOUS']]
E= numpy.require(E,dtype=numpy.float64,requirements=['C','W'])
Lz= numpy.require(Lz,dtype=numpy.float64,requirements=['C','W'])
delta= numpy.require(delta,dtype=numpy.float64,requirements=['C','W'])
u0= numpy.require(u0,dtype=numpy.float64,requirements=['C','W'])
#Run the C code
actionAngleStaeckel_actionsFunc(len(E),
E,
Lz,
ctypes.c_int(npot),
pot_type,
pot_args,
ctypes.c_int(ndelta),
delta,
u0,
ctypes.byref(err))
#Reset input arrays
if f_cont[0]: E= numpy.asfortranarray(E)
if f_cont[1]: Lz= numpy.asfortranarray(Lz)
if f_cont[2]: delta= numpy.asfortranarray(delta)
return (u0,err.value)
def actionAngleFreqStaeckel_c(pot,delta,R,vR,vT,z,vz,u0=None,order=10):
"""
NAME:
actionAngleFreqStaeckel_c
PURPOSE:
Use C to calculate actions and frequencies
using the Staeckel approximation
INPUT:
pot - Potential or list of such instances
delta - focal length of prolate spheroidal coordinates
R, vR, vT, z, vz - coordinates (arrays)
u0= (None) if set, u0 to use
order= (10) order of Gauss-Legendre integration of the relevant integrals
OUTPUT:
(jr,jz,Omegar,Omegaphi,Omegaz,err)
jr,jz,Omegar,Omegaphi,Omegaz : array, shape (len(R))
err - non-zero if error occured
HISTORY:
2013-08-23 - Written - Bovy (IAS)
"""
if u0 is None:
u0, dummy= bovy_coords.Rz_to_uv(R,z,delta=numpy.atleast_1d(delta))
#Parse the potential
from galpy.orbit.integrateFullOrbit import _parse_pot
npot, pot_type, pot_args= _parse_pot(pot,potforactions=True)
#Parse delta
delta= numpy.atleast_1d(delta)
ndelta= len(delta)
#Set up result arrays
jr= numpy.empty(len(R))
jz= numpy.empty(len(R))
Omegar= numpy.empty(len(R))
Omegaphi= numpy.empty(len(R))
Omegaz= numpy.empty(len(R))
err= ctypes.c_int(0)
#Set up the C code
ndarrayFlags= ('C_CONTIGUOUS','WRITEABLE')
actionAngleStaeckel_actionsFunc= _lib.actionAngleStaeckel_actionsFreqs
actionAngleStaeckel_actionsFunc.argtypes= [ctypes.c_int,
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.c_int,
ndpointer(dtype=numpy.int32,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.c_int,
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.c_int,
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.POINTER(ctypes.c_int)]
#Array requirements, first store old order
f_cont= [R.flags['F_CONTIGUOUS'],
vR.flags['F_CONTIGUOUS'],
vT.flags['F_CONTIGUOUS'],
z.flags['F_CONTIGUOUS'],
vz.flags['F_CONTIGUOUS'],
u0.flags['F_CONTIGUOUS'],
delta.flags['F_CONTIGUOUS']]
R= numpy.require(R,dtype=numpy.float64,requirements=['C','W'])
vR= numpy.require(vR,dtype=numpy.float64,requirements=['C','W'])
vT= numpy.require(vT,dtype=numpy.float64,requirements=['C','W'])
z= numpy.require(z,dtype=numpy.float64,requirements=['C','W'])
vz= numpy.require(vz,dtype=numpy.float64,requirements=['C','W'])
u0= numpy.require(u0,dtype=numpy.float64,requirements=['C','W'])
delta= numpy.require(delta,dtype=numpy.float64,requirements=['C','W'])
jr= numpy.require(jr,dtype=numpy.float64,requirements=['C','W'])
jz= numpy.require(jz,dtype=numpy.float64,requirements=['C','W'])
Omegar= numpy.require(Omegar,dtype=numpy.float64,requirements=['C','W'])
Omegaphi= numpy.require(Omegaphi,dtype=numpy.float64,
requirements=['C','W'])
Omegaz= numpy.require(Omegaz,dtype=numpy.float64,requirements=['C','W'])
#Run the C code
actionAngleStaeckel_actionsFunc(len(R),
R,
vR,
vT,
z,
vz,
u0,
ctypes.c_int(npot),
pot_type,
pot_args,
ctypes.c_int(ndelta),
delta,
ctypes.c_int(order),
jr,
jz,
Omegar,
Omegaphi,
Omegaz,
ctypes.byref(err))
#Reset input arrays
if f_cont[0]: R= numpy.asfortranarray(R)
if f_cont[1]: vR= numpy.asfortranarray(vR)
if f_cont[2]: vT= numpy.asfortranarray(vT)
if f_cont[3]: z= numpy.asfortranarray(z)
if f_cont[4]: vz= numpy.asfortranarray(vz)
if f_cont[5]: u0= numpy.asfortranarray(u0)
if f_cont[6]: delta= numpy.asfortranarray(delta)
return (jr,jz,Omegar,Omegaphi,Omegaz,err.value)
def actionAngleFreqAngleStaeckel_c(pot,delta,R,vR,vT,z,vz,phi,
u0=None,order=10):
"""
NAME:
actionAngleFreqAngleStaeckel_c
PURPOSE:
Use C to calculate actions, frequencies, and angles
using the Staeckel approximation
INPUT:
pot - Potential or list of such instances
delta - focal length of prolate spheroidal coordinates
R, vR, vT, z, vz, phi - coordinates (arrays)
u0= (None) if set, u0 to use
order= (10) order of Gauss-Legendre integration of the relevant integrals
OUTPUT:
(jr,jz,Omegar,Omegaphi,Omegaz,Angler,Anglephi,Anglez,err)
jr,jz,Omegar,Omegaphi,Omegaz,Angler,Anglephi,Anglez : array, shape (len(R))
err - non-zero if error occured
HISTORY:
2013-08-27 - Written - Bovy (IAS)
"""
if u0 is None:
u0, dummy= bovy_coords.Rz_to_uv(R,z,delta=numpy.atleast_1d(delta))
#Parse the potential
from galpy.orbit.integrateFullOrbit import _parse_pot
npot, pot_type, pot_args= _parse_pot(pot,potforactions=True)
#Parse delta
delta= numpy.atleast_1d(delta)
ndelta= len(delta)
#Set up result arrays
jr= numpy.empty(len(R))
jz= numpy.empty(len(R))
Omegar= numpy.empty(len(R))
Omegaphi= numpy.empty(len(R))
Omegaz= numpy.empty(len(R))
Angler= numpy.empty(len(R))
Anglephi= numpy.empty(len(R))
Anglez= numpy.empty(len(R))
err= ctypes.c_int(0)
#Set up the C code
ndarrayFlags= ('C_CONTIGUOUS','WRITEABLE')
actionAngleStaeckel_actionsFunc= _lib.actionAngleStaeckel_actionsFreqsAngles
actionAngleStaeckel_actionsFunc.argtypes= [ctypes.c_int,
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.c_int,
ndpointer(dtype=numpy.int32,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.c_int,
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.c_int,
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.POINTER(ctypes.c_int)]
#Array requirements, first store old order
f_cont= [R.flags['F_CONTIGUOUS'],
vR.flags['F_CONTIGUOUS'],
vT.flags['F_CONTIGUOUS'],
z.flags['F_CONTIGUOUS'],
vz.flags['F_CONTIGUOUS'],
u0.flags['F_CONTIGUOUS'],
delta.flags['F_CONTIGUOUS']]
R= numpy.require(R,dtype=numpy.float64,requirements=['C','W'])
vR= numpy.require(vR,dtype=numpy.float64,requirements=['C','W'])
vT= numpy.require(vT,dtype=numpy.float64,requirements=['C','W'])
z= numpy.require(z,dtype=numpy.float64,requirements=['C','W'])
vz= numpy.require(vz,dtype=numpy.float64,requirements=['C','W'])
u0= numpy.require(u0,dtype=numpy.float64,requirements=['C','W'])
delta= numpy.require(delta,dtype=numpy.float64,requirements=['C','W'])
jr= numpy.require(jr,dtype=numpy.float64,requirements=['C','W'])
jz= numpy.require(jz,dtype=numpy.float64,requirements=['C','W'])
Omegar= numpy.require(Omegar,dtype=numpy.float64,requirements=['C','W'])
Omegaphi= numpy.require(Omegaphi,dtype=numpy.float64,
requirements=['C','W'])
Omegaz= numpy.require(Omegaz,dtype=numpy.float64,requirements=['C','W'])
Angler= numpy.require(Angler,dtype=numpy.float64,requirements=['C','W'])
Anglephi= numpy.require(Anglephi,dtype=numpy.float64,
requirements=['C','W'])
Anglez= numpy.require(Anglez,dtype=numpy.float64,requirements=['C','W'])
#Run the C code
actionAngleStaeckel_actionsFunc(len(R),
R,
vR,
vT,
z,
vz,
u0,
ctypes.c_int(npot),
pot_type,
pot_args,
ctypes.c_int(ndelta),
delta,
ctypes.c_int(order),
jr,
jz,
Omegar,
Omegaphi,
Omegaz,
Angler,
Anglephi,
Anglez,
ctypes.byref(err))
#Reset input arrays
if f_cont[0]: R= numpy.asfortranarray(R)
if f_cont[1]: vR= numpy.asfortranarray(vR)
if f_cont[2]: vT= numpy.asfortranarray(vT)
if f_cont[3]: z= numpy.asfortranarray(z)
if f_cont[4]: vz= numpy.asfortranarray(vz)
if f_cont[5]: u0= numpy.asfortranarray(u0)
if f_cont[6]: delta= numpy.asfortranarray(delta)
badAngle = Anglephi != 9999.99
Anglephi[badAngle]= (Anglephi[badAngle] + phi[badAngle] % (2.*numpy.pi)) % (2.*numpy.pi)
Anglephi[Anglephi < 0.]+= 2.*numpy.pi
return (jr,jz,Omegar,Omegaphi,Omegaz,Angler,
Anglephi,Anglez,err.value)
def actionAngleUminUmaxVminStaeckel_c(pot,delta,R,vR,vT,z,vz,u0=None):
"""
NAME:
actionAngleUminUmaxVminStaeckel_c
PURPOSE:
Use C to calculate umin, umax, and vmin using the Staeckel approximation
INPUT:
pot - Potential or list of such instances
delta - focal length of prolate spheroidal coordinates
R, vR, vT, z, vz - coordinates (arrays)
OUTPUT:
(umin,umax,vmin,err)
umin,umax,vmin : array, shape (len(R))
err - non-zero if error occured
HISTORY:
2017-12-12 - Written - Bovy (UofT)
"""
if u0 is None:
u0, dummy= bovy_coords.Rz_to_uv(R,z,delta=numpy.atleast_1d(delta))
#Parse the potential
from galpy.orbit.integrateFullOrbit import _parse_pot
npot, pot_type, pot_args= _parse_pot(pot,potforactions=True)
#Parse delta
delta= numpy.atleast_1d(delta)
ndelta= len(delta)
#Set up result arrays
umin= numpy.empty(len(R))
umax= numpy.empty(len(R))
vmin= numpy.empty(len(R))
err= ctypes.c_int(0)
#Set up the C code
ndarrayFlags= ('C_CONTIGUOUS','WRITEABLE')
actionAngleStaeckel_actionsFunc= _lib.actionAngleStaeckel_uminUmaxVmin
actionAngleStaeckel_actionsFunc.argtypes= [ctypes.c_int,
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.c_int,
ndpointer(dtype=numpy.int32,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.c_int,
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ndpointer(dtype=numpy.float64,flags=ndarrayFlags),
ctypes.POINTER(ctypes.c_int)]
#Array requirements, first store old order
f_cont= [R.flags['F_CONTIGUOUS'],
vR.flags['F_CONTIGUOUS'],
vT.flags['F_CONTIGUOUS'],
z.flags['F_CONTIGUOUS'],
vz.flags['F_CONTIGUOUS'],
u0.flags['F_CONTIGUOUS'],
delta.flags['F_CONTIGUOUS']]
R= numpy.require(R,dtype=numpy.float64,requirements=['C','W'])
vR= numpy.require(vR,dtype=numpy.float64,requirements=['C','W'])
vT= numpy.require(vT,dtype=numpy.float64,requirements=['C','W'])
z= numpy.require(z,dtype=numpy.float64,requirements=['C','W'])
vz= numpy.require(vz,dtype=numpy.float64,requirements=['C','W'])
u0= numpy.require(u0,dtype=numpy.float64,requirements=['C','W'])
delta= numpy.require(delta,dtype=numpy.float64,requirements=['C','W'])
umin= numpy.require(umin,dtype=numpy.float64,requirements=['C','W'])
umax= numpy.require(umax,dtype=numpy.float64,requirements=['C','W'])
vmin= numpy.require(vmin,dtype=numpy.float64,requirements=['C','W'])
#Run the C code
actionAngleStaeckel_actionsFunc(len(R),
R,
vR,
vT,
z,
vz,
u0,
ctypes.c_int(npot),
pot_type,
pot_args,
ctypes.c_int(ndelta),
delta,
umin,
umax,
vmin,
ctypes.byref(err))
#Reset input arrays
if f_cont[0]: R= numpy.asfortranarray(R)
if f_cont[1]: vR= numpy.asfortranarray(vR)
if f_cont[2]: vT= numpy.asfortranarray(vT)
if f_cont[3]: z= numpy.asfortranarray(z)
if f_cont[4]: vz= numpy.asfortranarray(vz)
if f_cont[5]: u0= numpy.asfortranarray(u0)
if f_cont[6]: delta= numpy.asfortranarray(delta)
return (umin,umax,vmin,err.value)