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#
# Copyright 2014 Anton Khirnov <anton@khirnov.net>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
import brill_data
import ctypes
import numpy as np
BD_METRIC_COMPONENT_RHORHO = 0
BD_METRIC_COMPONENT_RHOZ = 1
BD_METRIC_COMPONENT_RHOPHI = 2
BD_METRIC_COMPONENT_ZRHO = 3
BD_METRIC_COMPONENT_ZZ = 4
BD_METRIC_COMPONENT_ZPHI = 5
BD_METRIC_COMPONENT_PHIRHO = 6
BD_METRIC_COMPONENT_PHIZ = 7
BD_METRIC_COMPONENT_PHIPHI = 8
class BrillData(object):
coeffs = None
_libbd = None
_bdctx = None
class _BDContext(ctypes.Structure):
_fields_ = [("priv", ctypes.c_void_p),
("log_callback", ctypes.c_void_p),
("opaque", ctypes.c_void_p),
("q_func_type", ctypes.c_int),
("amplitude", ctypes.c_double),
("eppley_n", ctypes.c_uint),
("rho0", ctypes.c_double),
("nb_coeffs", ctypes.c_uint * 2),
("basis_scale_factor", ctypes.c_double * 2),
("psi_minus1_coeffs", ctypes.POINTER(ctypes.c_double)),
("stride", ctypes.c_uint),
("nb_threads", ctypes.c_uint)]
def __init__(self, **kwargs):
self._libbd = ctypes.CDLL('libbrilldata.so')
bdctx_alloc = self._libbd.bd_context_alloc
bdctx_alloc.restype = ctypes.POINTER(self._BDContext)
self._bdctx = self._libbd.bd_context_alloc()
for arg, value in kwargs.items():
try:
self._bdctx.contents.__setattr__(arg, value)
except TypeError as e:
# try assigning items of an iterable
try:
for i, it in enumerate(value):
self._bdctx.contents.__getattribute__(arg)[i] = it
except:
raise e
ret = self._libbd.bd_solve(self._bdctx)
if ret < 0:
raise RuntimeError('Error solving the equation')
self.coeffs = np.copy(np.ctypeslib.as_array(self._bdctx.contents.psi_minus1_coeffs, (self._bdctx.contents.nb_coeffs[1], self._bdctx.contents.nb_coeffs[0])))
def __del__(self):
if self._bdctx:
addr_bdctx = ctypes.c_void_p(ctypes.addressof(self._bdctx))
self._libbd.bd_context_free(addr_bdctx)
self._bdctx = None
def eval_psi(self, rho, z, diff_order = None):
if rho.ndim != 1 or z.ndim != 1:
raise TypeError('rho and z must be 1-dimensional NumPy arrays')
if diff_order is None:
diff_order = [0, 0]
c_diff_order = (ctypes.c_uint * 2)()
c_diff_order[0] = diff_order[0]
c_diff_order[1] = diff_order[1]
psi = np.empty((z.shape[0], rho.shape[0]))
c_psi = np.ctypeslib.as_ctypes(psi)
c_rho = np.ctypeslib.as_ctypes(rho)
c_z = np.ctypeslib.as_ctypes(z)
ret = self._libbd.bd_eval_psi(self._bdctx, c_rho, len(c_rho),
c_z, len(c_z), c_diff_order, c_psi, len(c_rho))
if ret < 0:
raise RuntimeError('Error evaluating psi')
return psi
def eval_metric(self, rho, z, component, diff_order = None):
if rho.ndim != 1 or z.ndim != 1:
raise TypeError('rho and z must be 1-dimensional NumPy arrays')
if diff_order is None:
diff_order = [0, 0]
c_diff_order = (ctypes.c_uint * 2)()
c_diff_order[0] = diff_order[0]
c_diff_order[1] = diff_order[1]
c_component = (ctypes.c_uint * 1)()
c_component[0] = component
c_rho = np.ctypeslib.as_ctypes(rho)
c_z = np.ctypeslib.as_ctypes(z)
metric = np.empty((z.shape[0], rho.shape[0]))
c_metric = (ctypes.POINTER(ctypes.c_double) * 1)()
c_metric[0] = ctypes.cast(np.ctypeslib.as_ctypes(metric), type(c_metric[0]))
c_metric_strides = (ctypes.c_uint * 1)()
c_metric_strides[0] = len(c_rho)
ret = self._libbd.bd_eval_metric(self._bdctx, c_rho, len(c_rho),
c_z, len(c_z), 1, c_component, c_diff_order, c_metric, c_metric_strides)
if ret < 0:
raise RuntimeError('Error evaluating the metric')
return metric
def eval_q(self, rho, z, diff_order = None):
if rho.ndim != 1 or z.ndim != 1:
raise TypeError('rho and z must be 1-dimensional NumPy arrays')
if diff_order is None:
diff_order = [0, 0]
c_diff_order = (ctypes.c_uint * 2)()
c_diff_order[0] = diff_order[0]
c_diff_order[1] = diff_order[1]
q = np.empty((z.shape[0], rho.shape[0]))
c_q = np.ctypeslib.as_ctypes(q)
c_rho = np.ctypeslib.as_ctypes(rho)
c_z = np.ctypeslib.as_ctypes(z)
ret = self._libbd.bd_eval_q(self._bdctx, c_rho, len(c_rho),
c_z, len(c_z), c_diff_order, c_q, len(c_rho))
if ret < 0:
raise RuntimeError('Error evaluating q')
return q
@property
def amplitude(self):
return self._bdctx.contents.__getattribute__('amplitude')
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