#include <../../nrnconf.h>
// solver interface to CVode
#include <InterViews/resource.h>

#include "nrnmpi.h"

extern "C" {
void cvode_fadvance();
void cvode_finitialize();
extern void (*nrn_multisplit_setup_)();
}

#include <math.h>
#include <stdlib.h>
#include "classreg.h"
#include "nrnoc2iv.h"
#include "datapath.h"
#include "cvodeobj.h"
#include "netcvode.h"
#include "membfunc.h"
#include "nrndaspk.h"
#include "tqueue.h"
#include "mymath.h"
#include "htlist.h"
#include <OS/list.h>
#include <nrnmutdec.h>

#if USE_PTHREAD
static MUTDEC
#endif

//I have no idea why this is necessary
// but it stops codewarrior from complaining
// about illegal overloading in math.h
// and math.h alone just moves the problem
// to these
#if MAC
#include "d_avec.h"
#endif
//#include "shared/sundialstypes.h"
//#include "shared/nvector_serial.h"
#include "cvodes/cvodes.h"
#include "cvodes/cvodes_impl.h"
#include "cvodes/cvdense.h"
#include "cvodes/cvdiag.h"
#include "shared/dense.h"
#include "ida/ida.h"
#include "nonvintblock.h"

extern "C" {
extern double dt, t;
#define nt_dt nrn_threads->_dt
#define nt_t nrn_threads->_t
extern int diam_changed;
extern int secondorder;
extern int linmod_extra_eqn_count();
extern int nrn_modeltype();
extern int nrn_use_selfqueue_;
extern int use_cachevec;
extern void nrn_cachevec(int);
extern Point_process* ob2pntproc(Object*);
extern void (*nrnthread_v_transfer_)(NrnThread*);
extern void (*nrnmpi_v_transfer_)();

extern int cvode_active_;
extern NetCvode* net_cvode_instance;
extern short* nrn_is_artificial_;
extern int structure_change_cnt;
extern int diam_change_cnt;
#if USENCS
extern void nrn2ncs_netcons();
#endif //USENCS
#if PARANEURON
extern N_Vector N_VNew_Parallel(int comm, long int local_length,
	long int global_length);
extern N_Vector N_VNew_NrnParallelLD(int comm,
	long int local_length, long int global_length);
#endif
}

extern bool nrn_use_fifo_queue_;
#if BBTQ == 5
extern bool nrn_use_bin_queue_;
#endif

#undef SUCCESS
#define SUCCESS CV_SUCCESS

// interface to oc

static double solve(void* v) {
	NetCvode* d = (NetCvode*)v;
	double tstop = -1.;
	if (ifarg(1)) {
		tstop = *getarg(1);
	}
	tstopunset;
	int i = d->solve(tstop);
	tstopunset;
	if (i != SUCCESS) {
		hoc_execerror("variable step integrator error", 0);
	}
	t = nt_t;
	dt = nt_dt;
	return double(i);
}
static double statistics(void* v) {
	NetCvode* d = (NetCvode*)v;
	int i = -1;
	if (ifarg(1)) {
		i = (int)chkarg(1, -1, 1e6);
	}
	d->statistics(i);
	return 0.;
}
static double spikestat(void* v) {
	NetCvode* d = (NetCvode*)v;
	d->spike_stat();
	return 0;
}
static double queue_mode(void* v) {
#if BBTQ == 3 || BBTQ == 4
	if (ifarg(1)) {
		nrn_use_fifo_queue_ = chkarg(1, 0, 1) ? true : false;
	}
	return double(nrn_use_fifo_queue_);
#endif
#if BBTQ == 5
	if (ifarg(1)) {
		nrn_use_bin_queue_ = chkarg(1, 0, 1) ? true : false;
	}
	if (ifarg(2)) {
#if NRNMPI
		nrn_use_selfqueue_ = chkarg(2, 0, 1) ? 1 : 0;
#else
	if (chkarg(2, 0, 1)) {
		hoc_warning("CVode.queue_mode with second arg == 1 requires",
		"configuration --with-mpi or related");
	}
#endif
	}
	return double(nrn_use_bin_queue_ + 2*nrn_use_selfqueue_);
#endif
	return 0.;
}

extern "C" {
void nrn_extra_scatter_gather(int direction, int tid);
}

static double re_init(void* v) {
	if (cvode_active_) {
		NetCvode* d = (NetCvode*)v;
		d->re_init(t);
	}else{
		nrn_extra_scatter_gather(1, 0);
	}
	return 0.;
}
static double rtol(void* v) {
	NetCvode* d = (NetCvode*)v;
	if (ifarg(1)) {
		d->rtol(chkarg(1, 0., 1e9));
	}
	return d->rtol();
}
static double nrn_atol(void* v) {
	NetCvode* d = (NetCvode*)v;
	if (ifarg(1)) {
		d->atol(chkarg(1, 0., 1e9));
		d->structure_change();
	}
	return d->atol();
}
extern "C" {
	extern Symbol* hoc_get_last_pointer_symbol();
	extern void hoc_symbol_tolerance(Symbol*, double);
}

static double abstol(void* v) {
	NetCvode* d = (NetCvode*)v;
	Symbol* sym;
	if (hoc_is_str_arg(1)) {
		sym = d->name2sym(gargstr(1));
	}else{
		hoc_pgetarg(1);
		sym = hoc_get_last_pointer_symbol();
		if (!sym) {
hoc_execerror("Cannot find the symbol associated with the pointer when called from Python", "Use a string instead of pointer argument");
		}
		if (nrn_vartype(sym) != STATE && sym->u.rng.type != VINDEX) {
			hoc_execerror(sym->name, "is not a STATE");
		}
	}
	if (ifarg(2)) {
		hoc_symbol_tolerance(sym, chkarg(2, 1e-30, 1e30));
		d->structure_change();
	}
	if (sym->extra && sym->extra->tolerance > 0.) {
		return sym->extra->tolerance;
	}else{
		return 1.;
	}
}

static double active(void* v) {
	if (ifarg(1)) {
		cvode_active_ = (int)chkarg(1, 0, 1);
		if (cvode_active_) {
			NetCvode* d = (NetCvode*)v;
			d->re_init(nt_t);
		}
	}
	return cvode_active_;
}
static double stiff(void* v) {
	NetCvode* d = (NetCvode*)v;
	if (ifarg(1)) {
		d->stiff((int)chkarg(1, 0, 2));
	}
	return double(d->stiff());
}
static double maxorder(void* v) {
	NetCvode* d = (NetCvode*)v;
	if (ifarg(1)) {
		d->maxorder((int)chkarg(1, 0, 5));
	}
	return d->maxorder();
}
static double order(void* v) {
	NetCvode* d = (NetCvode*)v;
	int i = 0;
	if (ifarg(1)) {
		// only thread 0
		i = int(chkarg(1, 0, d->p->nlcv_ - 1));
	}
	int o = d->order(i);
	return double(o);
}
static double minstep(void* v) {
	NetCvode* d = (NetCvode*)v;
	if (ifarg(1)) {
		d->minstep(chkarg(1, 0., 1e9));
	}
	return d->minstep();
}

static double maxstep(void* v) {
	NetCvode* d = (NetCvode*)v;
	if (ifarg(1)) {
		d->maxstep(chkarg(1, 0., 1e9));
	}
	return d->maxstep();
}

static double jacobian(void* v) {
	NetCvode* d = (NetCvode*)v;
	if (ifarg(1)) {
		d->jacobian((int)chkarg(1, 0, 2));
	}
	return double(d->jacobian());
}

static double states(void* v) {
	NetCvode* d = (NetCvode*)v;
	d->states();
	return 0.;
}

static double dstates(void* v) {
	NetCvode* d = (NetCvode*)v;
	d->dstates();
	return 0.;
}

extern double nrn_hoc2fun(void* v);
extern double nrn_hoc2scatter_y(void* v);
extern double nrn_hoc2gather_y(void* v);
extern double nrn_hoc2fixed_step(void* v);

static double error_weights(void* v) {
	NetCvode* d = (NetCvode*)v;
	d->error_weights();
	return 0.;
}

static double acor(void* v) {
	NetCvode* d = (NetCvode*)v;
	d->acor();
	return 0.;
}

static double statename(void* v) {
	NetCvode* d = (NetCvode*)v;
	int i = (int)chkarg(1,0,1e9);
	int style = 1;
	if (ifarg(3)) {
		style = (int)chkarg(3, 0, 2);
	}
	hoc_assign_str(hoc_pgargstr(2), d->statename(i, style));
	return 0.;
}

static double use_local_dt(void* v) {
	NetCvode* d = (NetCvode*)v;
	if (ifarg(1)) {
		int i = (int)chkarg(1, 0, 1);
		d->localstep(i);
	}
	return (double)d->localstep();
}

static double use_daspk(void* v) {
	NetCvode* d = (NetCvode*)v;
	if (ifarg(1)) {
		int i = (int)chkarg(1, 0, 1);
		if ((i != 0) != d->use_daspk()) {
			d->use_daspk(i);
		}
	}
	return (double)d->use_daspk();
}

static double dae_init_dteps(void* v) {
	if (ifarg(1)) {
		Daspk::dteps_ = chkarg(1, 1e-100, 1);
	}
	if (ifarg(2)) {
		Daspk::init_failure_style_ = (int)chkarg(2, 0, 013);
	}
	return Daspk::dteps_;
}

static double use_mxb(void* v) {
	NetCvode* d = (NetCvode*)v;
	if (ifarg(1)) {
		int i = (int)chkarg(1,0,1);
		if (use_sparse13 != i) {
			use_sparse13 = i;
			recalc_diam();
		}
	}
	return (double) use_sparse13;
}

static double cache_efficient(void* v) {
	NetCvode* d = (NetCvode*)v;
	if (ifarg(1)) {
		int i = (int)chkarg(1,0,1);
		nrn_cachevec(i);
	}
	return (double) use_cachevec;
}

static double use_long_double(void* v) {
	NetCvode* d = (NetCvode*)v;
	if (ifarg(1)) {
		int i = (int)chkarg(1,0,1);
		d->use_long_double_ = i;
		recalc_diam();
	}
	return (double)d->use_long_double_;
}

static double condition_order(void* v) {
	NetCvode* d = (NetCvode*)v;
	if (ifarg(1)) {
		int i = (int)chkarg(1,1,2);
		d->condition_order(i);
	}
	return (double) d->condition_order();
}

static double debug_event(void* v) {
	NetCvode* d = (NetCvode*)v;
	if (ifarg(1)) {
		int i = (int)chkarg(1, 0, 10);
		d->print_event_ = i;
	}
	return (double)d->print_event_;
}

static double n_record(void* v) {
	NetCvode* d = (NetCvode*)v;
	d->vecrecord_add();
	return 0.;
}

static double n_remove(void* v) {
	NetCvode* d = (NetCvode*)v;
	d->vec_remove();
	return 0.;
}

static double simgraph_remove(void* v) {
	NetCvode* d = (NetCvode*)v;
	d->simgraph_remove();
	return 0.;
}

static double state_magnitudes(void* v) {
	NetCvode* d = (NetCvode*)v;
	return d->state_magnitudes();
}

static double tstop_event(void* v) {
	NetCvode* d = (NetCvode*)v;
	double x = *getarg(1);
	if (!cvode_active_) { // watch out for fixed step roundoff if x
		// close to n*dt
		double y = x/nrn_threads->_dt;
		if (y > 1 && fabs(floor(y + 1e-6) - y) < 1e-6) {
			//printf("reduce %g to avoid fixed step roundoff\n", x);
			x -= nrn_threads->_dt/4.;
		}
	}
	if (ifarg(2)) {
		Object* ppobj = nil;
		int reinit = 0;
		if (ifarg(3)) {
			ppobj = *hoc_objgetarg(3);
			if (!ppobj || ppobj->ctemplate->is_point_ <= 0
			    || nrn_is_artificial_[ob2pntproc(ppobj)->prop->type]
			){
				hoc_execerror(hoc_object_name(ppobj), "is not a POINT_PROCESS");
			}
			reinit = int(chkarg(4, 0, 1));
		}
	    if (hoc_is_object_arg(2)) {
		d->hoc_event(x, nil, ppobj, reinit, *hoc_objgetarg(2));
	    }else{		
		d->hoc_event(x, gargstr(2), ppobj, reinit);
	    }
	}else{
		//d->tstop_event(x);
		d->hoc_event(x, 0, 0, 0);
	}
	return x;
}

static double current_method(void* v) {
	NetCvode* d = (NetCvode*)v;
	int modeltype = nrn_modeltype();
	int methodtype = secondorder; // 0, 1, or 2
	int localtype = 0;
	if (cvode_active_) {
		methodtype = 3;
		if (d->use_daspk()) {
			methodtype = 4;
		}else{
			localtype = d->localstep();
		}
	}
	return double( modeltype + 10*use_sparse13 + 100*methodtype + 1000*localtype );
}
static double peq(void* v) {
	NetCvode* d = (NetCvode*)v;
	d->print_event_queue();
	return 1.;
}

static double event_queue_info(void* v) {
	NetCvode* d = (NetCvode*)v;
	d->event_queue_info();
	return 1.;
}

static double store_events(void* v) {
	NetCvode* d = (NetCvode*)v;
	d->vec_event_store();
	return 1.;
}

static Object** netconlist(void* v) {
	NetCvode* d = (NetCvode*)v;
	return d->netconlist();
}

static double ncs_netcons(void* v) {
#if USENCS
	nrn2ncs_netcons();
#endif
	return 0.;
}

// for testing when there is actually no pc.transfer or pc.multisplit present
// forces the global step to be truly global across processors.
static double use_parallel(void* v) {
#if PARANEURON
	// assume single thread and global step
	NetCvode* d = (NetCvode*)v;
	assert(d->gcv_);
	d->gcv_->use_partrans_ = true;
	d->structure_change();
	return 1.0;
#else
	return 0.0;
#endif
}

static double nrn_structure_change_count(void* v) {
	return double(structure_change_cnt);
}

static double nrn_diam_change_count(void* v) {
	return double(diam_change_cnt);
}

extern "C" {
int (*nrnpy_pysame)(Object*, Object*);
extern int (*nrnpy_hoccommand_exec)(Object*);
}

declarePtrList(ExtraScatterList, Object)
implementPtrList(ExtraScatterList, Object)
static ExtraScatterList* extra_scatterlist[2]; // 0 scatter, 1 gather

void nrn_extra_scatter_gather(int direction, int tid) {
	ExtraScatterList* esl = extra_scatterlist[direction];
	if (esl) {
	    nrn_thread_error("extra_scatter_gather not allowed with multiple threads");
	    for (int i=0; i < esl->count(); ++i) {
		Object* callable = esl->item(i);
		if (!(*nrnpy_hoccommand_exec)(callable)) {
			hoc_execerror("extra_scatter_gather runtime error", 0);
		}
	    }
	}
}

static double extra_scatter_gather(void* v) {
	int direction = int(chkarg(1, 0, 1));
	Object* o = *hoc_objgetarg(2);
	check_obj_type(o, "PythonObject");
	ExtraScatterList* esl = extra_scatterlist[direction];
	if (!esl) {
		esl = new ExtraScatterList(2);
		extra_scatterlist[direction] = esl;
	}
	esl->append(o);
	hoc_obj_ref(o);
	return 0.;
}

static double extra_scatter_gather_remove(void* v) {
	Object* o = *hoc_objgetarg(1);
	for (int direction=0; direction < 2; ++direction) {
		ExtraScatterList* esl = extra_scatterlist[direction];
		if (esl) for (int i = esl->count()-1; i >= 0; --i) {
			Object* o1 = esl->item(i);
			// if esl exists then python exists
			if ((*nrnpy_pysame)(o, o1)) {
				esl->remove(i);
				hoc_obj_unref(o1);
			}
		}
	}
	return 0.;
}

static double use_fast_imem(void* v) {
	int i = nrn_use_fast_imem;
	if (ifarg(1)) {
		nrn_use_fast_imem = int(chkarg(1, 0., 1.));
		nrn_fast_imem_alloc();
	}
	return double(i);
}

static Member_func members[] = {
	"solve", solve,
	"atol", nrn_atol,
	"rtol", rtol,
	"re_init", re_init,
	"stiff", stiff,
	"active", active,
	"maxorder", maxorder,
	"minstep", minstep,
	"maxstep", maxstep,
	"jacobian", jacobian,
	"states", states,
	"dstates", dstates,
	"error_weights", error_weights,
	"acor", acor,
	"statename", statename,
	"atolscale", abstol,
	"use_local_dt", use_local_dt,
	"record", n_record,
	"record_remove", n_remove,
	"debug_event", debug_event,
	"order", order,
	"use_daspk", use_daspk,
	"event", tstop_event,
	"current_method", current_method,
	"use_mxb", use_mxb,
	"print_event_queue", peq,
	"event_queue_info", event_queue_info,
	"store_events", store_events,
	"condition_order", condition_order,
	"dae_init_dteps", dae_init_dteps,
	"simgraph_remove", simgraph_remove,
	"state_magnitudes", state_magnitudes,
	"ncs_netcons", ncs_netcons,
	"statistics", statistics,
	"spike_stat", spikestat,
	"queue_mode", queue_mode,
	"cache_efficient", cache_efficient,
	"use_long_double", use_long_double,
	"use_parallel", use_parallel,
	"f", nrn_hoc2fun,
	"yscatter", nrn_hoc2scatter_y,
	"ygather", nrn_hoc2gather_y,
	"fixed_step", nrn_hoc2fixed_step,
	"structure_change_count", nrn_structure_change_count,
	"diam_change_count", nrn_diam_change_count,
	"extra_scatter_gather", extra_scatter_gather,
	"extra_scatter_gather_remove", extra_scatter_gather_remove,
	"use_fast_imem", use_fast_imem,
	0,0
};

static Member_ret_obj_func omembers[] = {
	"netconlist", netconlist,
	0, 0
};

static void* cons(Object*) {
#if 0
	NetCvode* d;
	if (net_cvode_instance) {
		hoc_execerror("Only one CVode instance allowed", 0);
	}else{
		d = new NetCvode(1);
		net_cvode_instance = d;
	}
	active(nil);
	return (void*) d;
#else
	return (void*)net_cvode_instance;
#endif
}
static void destruct(void* v) {
#if 0
	NetCvode* d = (NetCvode*)v;
	cvode_active_ = 0;
	delete d;
#endif
}
void Cvode_reg() {
	class2oc("CVode", cons, destruct, members, NULL, omembers, NULL);
	net_cvode_instance = new NetCvode(1);
	Daspk::dteps_ = 1e-9; // change with cvode.dae_init_dteps(newval)
}

/* Functions Called by the CVODE Solver */

static int minit(CVodeMem cv_mem);
static int msetup(CVodeMem cv_mem, int convfail, N_Vector ypred,
                  N_Vector fpred, booleantype *jcurPtr, N_Vector vtemp,
                  N_Vector vtemp2, N_Vector vtemp3);
static int msolve(CVodeMem cv_mem, N_Vector b, N_Vector weight, N_Vector ycur,
                 N_Vector fcur);
static int msolve_lvardt(CVodeMem cv_mem, N_Vector b, N_Vector weight, N_Vector ycur,
                 N_Vector fcur);
static void mfree(CVodeMem cv_mem);
static void f_gvardt(realtype t, N_Vector y, N_Vector ydot, void *f_data);
static void f_lvardt(realtype t, N_Vector y, N_Vector ydot, void *f_data);
static CVRhsFn pf_;

static void* msetup_thread(NrnThread*);
static void* msolve_thread(NrnThread*);
static void* msolve_thread_part1(NrnThread*);
static void* msolve_thread_part2(NrnThread*);
static void* msolve_thread_part3(NrnThread*);
static void* f_thread(NrnThread*);
static void* f_thread_transfer_part1(NrnThread*);
static void* f_thread_transfer_part2(NrnThread*);
static void* f_thread_ms_part1(NrnThread*);
static void* f_thread_ms_part2(NrnThread*);
static void* f_thread_ms_part3(NrnThread*);
static void* f_thread_ms_part4(NrnThread*);
static void* f_thread_ms_part34(NrnThread*);

Cvode::Cvode(NetCvode* ncv) {
	cvode_constructor();
	ncv_ = ncv;
}
Cvode::Cvode() {
	cvode_constructor();
}
void Cvode::cvode_constructor() {
	nthsizes_ = nil;
	nth_ = nil;
	ncv_ = nil;
	ctd_ = nil;
	tqitem_ = nil;
	mem_ = nil;
#if NEOSIMorNCS
	neosim_self_events_ = nil;
#endif
	initialize_ = false;
	can_retreat_ = false;
	tstop_begin_ = 0.;
	tstop_end_ = 0.;
	use_daspk_ = false;
	daspk_ = nil;

	mem_ = nil;
	y_ = nil;
	atolnvec_ = nil;
	maxstate_ = nil;
	maxacor_ = nil;
	neq_ = 0;
	structure_change_ = true;
#if PARANEURON
	use_partrans_ = false;
	global_neq_ = 0;
	opmode_ = 0;
#endif
}

double Cvode::gam() {
	if (mem_) {
		return ((CVodeMem)mem_)->cv_gamma;
	}else{
		return 1.;
	}
}

double Cvode::h() {
	if (mem_) {
		return ((CVodeMem)mem_)->cv_h;
	}else{
		return 0.;
	}	
}

bool Cvode::at_time(double te, NrnThread* nt) {
	if (initialize_) {
//printf("%d at_time initialize te=%g te-t0_=%g next_at_time_=%g\n", nt->id, te, te-t0_, next_at_time_);
		MUTLOCK
		if (t0_ < te && te < next_at_time_) {
//printf("%d next_at_time_=%g since te-t0_=%15.10g and next_at_time_-te=%g\n", nt->id, te, te-nt->_t, next_at_time_-te);
			next_at_time_ = te;
		}
		MUTUNLOCK
		if (MyMath::eq(te, t0_, NetCvode::eps(t0_))) {
//printf("at_time te=%g t-te=%g return 1\n", te, t - te);
			return 1;
		}
		return 0;
	}
	// No at_time event is inside our allowed integration interval.
	// such an event would be unhandled. It would be an error for
	// a model description to dynamically compute such an event.
	// The policy is strict that during at_time
	// event handling the next at_time event is known so that
	// the stop time can be set. This could be relaxed
	// only to the extent that whatever at_time is computed is
	// beyond the current step.
	if (nt->_vcv) {
if (te <= tstop_ && te > t0_) {
printf("te=%g t0_=%g tn_=%g t_=%g t=%g\n", te, t0_, tn_, t_, nt_t);
printf("te-t0_=%g  tstop_-te=%g\n", te - t0_, tstop_ - te);
}
		assert( te > tstop_ || te <= t0_);
	}
	return 0;
}

void Cvode::set_init_flag() {
//printf("set_init_flag t_=%g prior2init_=%d\n", t_, prior2init_);
	initialize_ = true;
	if (cvode_active_ && ++prior2init_ == 1) {
		record_continuous();
	}
}

N_Vector Cvode::nvnew(long int n) {
#if PARANEURON
	if (use_partrans_) {
		if (net_cvode_instance->use_long_double_) {
			return N_VNew_NrnParallelLD(0, n, global_neq_);
		}else{
			return N_VNew_Parallel(0, n, global_neq_);
		}
	}
#endif
	if (nctd_ > 1) {
		assert(n == neq_);
		if (!nthsizes_) {
			nthsizes_ = new long int[nrn_nthread];
			for (int i = 0; i < nrn_nthread; ++i) {
				nthsizes_[i] = ctd_[i].nvsize_;
			}
		}
#if 1
		int sum = 0;
		for (int i=0; i < nctd_; ++i) { sum += nthsizes_[i];}
		assert(sum == neq_);
#endif
		if (net_cvode_instance->use_long_double_) {
			return N_VNew_NrnThreadLD(n, nctd_, nthsizes_);
		}else{
			return N_VNew_NrnThread(n, nctd_, nthsizes_);
		}
	}
	if (net_cvode_instance->use_long_double_) {
		return N_VNew_NrnSerialLD(n);
	}else{
		return N_VNew_Serial(n);
	}
}

void Cvode::atolvec_alloc(int i) {
	if (i > 0) {
		// too bad the machEnv has to be done here but this is
		// the first and it depends on size
		// the call chain is init_prepare (frees) -> init_eqn -> here
		atolnvec_ = nvnew(i);
	}
}

Cvode::~Cvode() {
#if NEOSIMorNCS
	if (neosim_self_events_) {
		delete neosim_self_events_;
	}
#endif
	if (daspk_) {
		delete daspk_;
	}
	if (y_) {
		N_VDestroy(y_);
	}
	if (atolnvec_) {
		N_VDestroy(atolnvec_);
	}
	if (mem_) {
		CVodeFree(mem_);
	}
	if (maxstate_) {
		N_VDestroy(maxstate_);
		N_VDestroy(maxacor_);
	}
	if (nthsizes_) {
		delete [] nthsizes_;
	}
//	delete [] iopt_;
//	delete [] ropt_;

}

void Cvode::stat_init() {
	advance_calls_ = interpolate_calls_ = init_calls_ = 0;
	ts_inits_ = f_calls_ = mxb_calls_ = jac_calls_ = 0;
	Daspk::first_try_init_failures_ = 0;
}

void Cvode::init_prepare() {
	if (init_global()) {
		if (y_) {
			N_VDestroy(y_);
			y_ = nil;
		}
		if (mem_) {
			CVodeFree(mem_);
			mem_ = nil;
		}
		if (atolnvec_) {
			N_VDestroy(atolnvec_);
			atolnvec_ = nil;
		}
		if (daspk_) {
			delete daspk_;
			daspk_ = nil;
		}
		init_eqn();
		if (neq_ > 0) {
			y_ = nvnew(neq_);
			if (use_daspk_) {
				alloc_daspk();
			}else{
				alloc_cvode();
			}
			if (maxstate_) {
				activate_maxstate(false);
				activate_maxstate(true);
			}
		}
	}
}

void Cvode::activate_maxstate(bool on) {
	if (maxstate_) {
		N_VDestroy(maxstate_);
		N_VDestroy(maxacor_);
		maxstate_ = nil;
		maxacor_ = nil;
	}
	if (on && neq_ > 0) {
		int i;
		maxstate_ = nvnew(neq_);
		maxacor_ = nvnew(neq_);
		N_VConst(0.0, maxstate_);
		N_VConst(0.0, maxacor_);
	}
}

static bool maxstate_b;
static Cvode* maxstate_cv;
static void* maxstate_thread(NrnThread* nt) {
	maxstate_cv->maxstate(maxstate_b, nt);
	return 0;
}
void Cvode::maxstate(bool b, NrnThread* nt) {
	if (!maxstate_) { return; }
	if (!nt) {
		if (nrn_nthread > 1) {
			maxstate_cv = this;
			maxstate_b = b;
			nrn_multithread_job(maxstate_thread);
			return;
		}
		nt = nrn_threads;
	}	
	CvodeThreadData& z = ctd_[nt->id];
	int i;
	double x;
	double* y = n_vector_data(y_, nt->id);
	double* m = n_vector_data(maxstate_, nt->id);
	for (i=0; i < z.nvsize_; ++i) {
		x = Math::abs(y[i]);
		if (m[i] < x) {
			m[i] = x;
		}
	}
    if (b) {
	y = n_vector_data(acorvec(), nt->id);
	m = n_vector_data(maxacor_, nt->id);
	for (i=0; i < z.nvsize_; ++i) {
		x = Math::abs(y[i]);
		if (m[i] < x) {
			m[i] = x;
		}
	}
    }
}

void Cvode::maxstate(double* pd) {
	int i;
	NrnThread* nt;
	if (maxstate_) {
	    FOR_THREADS(nt) {
		double* m = n_vector_data(maxstate_, nt->id);
		int n = ctd_[nt->id].nvsize_;
		int o = ctd_[nt->id].nvoffset_;
		for (i=0; i < n; ++i) {
			pd[i+o] = m[i];
		}
	    }
	}
}

void Cvode::maxacor(double* pd) {
	int i;
	NrnThread* nt;
	if (maxacor_) {
	    FOR_THREADS(nt) {
		double* m = n_vector_data(maxacor_, nt->id);
		int n = ctd_[nt->id].nvsize_;
		int o = ctd_[nt->id].nvoffset_;
		for (i=0; i < n; ++i) {
			pd[i+o] = m[i];
		}
	    }
	}
}

void Cvode::alloc_cvode() {
}

int Cvode::order() {
	int i = 0;
	if (use_daspk_) {
		if (daspk_->mem_) { IDAGetLastOrder(daspk_->mem_, &i); }
	}else{
		if (mem_) { CVodeGetLastOrder(mem_, &i); }
	}
	return i;
}
void Cvode::maxorder(int maxord) {
	if (use_daspk_) {
		if (daspk_->mem_) { IDASetMaxOrd(daspk_->mem_, maxord); }
	}else{
		if (mem_) { CVodeSetMaxOrd(mem_, maxord); }
	}
}
void Cvode::minstep(double x) {
	if (mem_) {
		if (x > 0.) {
			CVodeSetMinStep(mem_, x);
		}else{
			// CVodeSetMinStep requires x > 0 but
			// HMIN_DEFAULT is ZERO in cvodes.c
			((CVodeMem)mem_)->cv_hmin = 0.;
		}
	}
}
void Cvode::maxstep(double x) {
	if (use_daspk_) {
		if (daspk_->mem_) { IDASetMaxStep(daspk_->mem_, x); }
	}else{
		if (mem_) { CVodeSetMaxStep(mem_, x); }
	}
}

void Cvode::free_cvodemem() {
	if (mem_) {
		CVodeFree(mem_);
		mem_ = nil;
	}
}

void NetCvode::set_CVRhsFn() {
	MUTDESTRUCT
	if (single_) {
		pf_ = f_gvardt;
		if (nrn_nthread > 1) { MUTCONSTRUCT(1) }
	}else{
		pf_ = f_lvardt;
	}
}

int Cvode::cvode_init(double) {
	int iter;
	int err = SUCCESS;
	// note, a change in stiff_ due to call of stiff() destroys mem_
	gather_y(y_);
	// TODO: this needs changed if want to support more than one thread or local variable timestep
	nrn_nonvint_block_ode_reinit(neq_, N_VGetArrayPointer(y_), 0);
	if (mem_) {
		err = CVodeReInit(mem_, pf_, t0_, y_, CV_SV, &ncv_->rtol_, atolnvec_);
		CVodeSetFdata(mem_, (void*)this);
		//printf("CVodeReInit\n");
		if (err != SUCCESS){
			printf("Cvode %p %s CVReInit error %d\n", this, secname(ctd_[0].v_node_[ctd_[0].rootnodecount_]->sec), err);
			return err;
		}
	}else{
		mem_ = CVodeCreate(CV_BDF, ncv_->stiff() ? CV_NEWTON : CV_FUNCTIONAL);
		if (!mem_){
			hoc_execerror ("CVodeCreate error", 0);
		}
		CVodeMalloc(mem_, pf_, t0_, y_, CV_SV, &ncv_->rtol_, atolnvec_);
		CVodeSetFdata(mem_, (void*)this);
		if (err != SUCCESS){
			printf("Cvode %p %s CVodeMalloc error %d\n", this, secname(ctd_[0].v_node_[ctd_[0].rootnodecount_]->sec), err);
			return err;
		}
		maxorder(ncv_->maxorder());
		minstep(ncv_->minstep());
		maxstep(ncv_->maxstep());
//		CVodeSetInitStep(mem_, .01);
	}
	matmeth();
	((CVodeMem)mem_)->cv_gamma = 0.;
	((CVodeMem)mem_)->cv_h = 0.; // fun called before cvode sets this (though fun does not need it really)
	//fun(t_, N_VGetArrayPointer(y_), nil);
	(*pf_)(t_, y_, nil, (void*)this);
	can_retreat_ = false;
	return err;
}

int Cvode::daspk_init(double tout) {
	return daspk_->init();
}

void Cvode::alloc_daspk() {
//printf("Cvode::alloc_daspk\n");
	daspk_ = new Daspk(this, neq_);
	// we do our own initialization since it is hard to
	// figure out which equations are algebraic and which
	// differential. eg. the no cap nodes can have a
	// circuit with capacitance connection. Extracellular
	// nodes may or may not have capacitors to ground.

}

int Cvode::advance_tn() {
	int err = SUCCESS;
	if (neq_ == 0) {
		t_ += 1e9;
		if (nth_) { nth_->_t = t_; } else { nt_t = t_; }
		tn_ = t_;
		return err;
	}
//printf("%d Cvode::advance_tn enter t_=%.20g t0_=%.20g tstop_=%.20g\n", nrnmpi_myid, t_, t0_, tstop_);
	if (t_ >= tstop_ - NetCvode::eps(t_)) {
//printf("init\n");
		++ts_inits_;
		tstop_begin_ = tstop_;
		tstop_end_ = tstop_ + 1.5*NetCvode::eps(tstop_);
		err = init(tstop_end_);
		// the above 1.5 is due to the fact that at_time will check
		// to see if the time is greater but not greater than eps*t0_
		// of the at_time for a return of 1.
		can_retreat_ = false;
	}else{
		++advance_calls_;
		// SOLVE after_cvode now interpreted as before cvode since
		// a step may be abandoned in part by interpolate in response
		// to events. Now at least the value of t is monotonic
		if (nth_) { nth_->_t = t_; } else { nt_t = t_; }
		do_nonode(nth_);
#if PARANEURON
		opmode_ = 1;
#endif
		if (use_daspk_) {
			err = daspk_advance_tn();
		}else{
			err = cvode_advance_tn();
		}
		can_retreat_ = true;
		maxstate(true);
	}
//printf("%d Cvode::advance_tn exit t_=%.20g t0_=%.20g tstop_=%.20g\n", nrnmpi_myid, t_, t0_, tstop_);
	return err;
}

int Cvode::solve() {
//printf("%d Cvode::solve %p initialize = %d current_time=%g tn=%g\n", nrnmpi_myid, this, initialize_, t_, tn());
	int err = SUCCESS;
	if (initialize_) {
		if (t_ >= tstop_ - NetCvode::eps(t_)) {
			++ts_inits_;
			tstop_begin_ = tstop_;
			tstop_end_ = tstop_ + 1.5*NetCvode::eps(tstop_);
			err = init(tstop_end_);
			can_retreat_ = false;
		}else{
			err = init(t_);
		}
	}else{
		err = advance_tn();
	}
//printf("Cvode::solve exit %p current_time=%g tn=%g\n", this, t_, tn());
	return err;
}

int Cvode::init(double tout) {
	int err = SUCCESS;
	++init_calls_;
//printf("%d Cvode_%p::init tout=%g\n", nrnmpi_myid, this, tout);
	initialize_ = true;
	t_ = tout;
	t0_ = t_;
	tn_ = t_;
	next_at_time_ = t_ + 1e5;
	init_prepare();
	if (neq_) {
#if PARANEURON
		opmode_ = 3;
#endif
		if (use_daspk_) {
			err = daspk_init(t_);
		}else{
			err = cvode_init(t_);
		}
	}
	tstop_ = next_at_time_ - NetCvode::eps(next_at_time_);
#if PARANEURON
	if (use_partrans_) {
		tstop_ =  nrnmpi_dbl_allmin(tstop_);
	}
#endif
//printf("Cvode::init next_at_time_=%g tstop_=%.15g\n", next_at_time_, tstop_);
	initialize_ = false;
	prior2init_ = 0;
	maxstate(false);
	return err;
}

int Cvode::interpolate(double tout) {
	NrnThread* _nt;
	if (neq_ == 0) {
		t_ = tout;
		if (nth_) {
			nth_->_t = t_;
		}else{
			FOR_THREADS(_nt) {
				_nt->_t = t_;
			}
		}
		return SUCCESS;
	}
//printf("Cvode::interpolate t_=%.15g t0_=%.15g tn_=%.15g tstop_=%.15g\n", t_, t0_, tn_, tstop_);
	if (!can_retreat_) {
		// but must be within the initialization domain
		assert (MyMath::le(tout, t_, 2.*NetCvode::eps(t_)));
		if (nth_) { // lvardt
			nth_->_t = tout;
		}else{
			FOR_THREADS(_nt) {
				_nt->_t = tout; // but leave t_ at the initialization point.
			}
		}
//		printf("no interpolation for event in the initialization interval t=%15g t_=%15g\n", nrn_threads->t, t_);
		return SUCCESS;
	}
	if (MyMath::eq(tout, t_, NetCvode::eps(t_))) {
		t_ = tout;
		return SUCCESS;
	}
//if (initialize_) {
//printf("Cvode_%p::interpolate assert error when initialize_ is true.\n t_=%g tout=%g tout-t_ = %g\n", this, t_, tout, tout-t_);
//}
	assert(initialize_ == false); // or state discontinuity can be lost
//printf("interpolate t_=%g tout=%g delta t_-tout=%g\n", t_, tout, t_-tout);
#if 1
if (tout < t0_) {
//	if (tout < t0_ - NetCvode::eps(t0_)) { // t0_ not always == tn_ - h
		// after a CV_ONESTEP_TSTOP
		// so allow some fudge before printing error
		// The fudge case was avoided by returning from the
		// Cvode::handle_step when a first order condition check
		// puts an event on the queue equal to t_
printf("Cvode::interpolate assert error t0=%g tout-t0=%g eps*t_=%g\n", t0_, tout-t0_, NetCvode::eps(t_));
//	}
	tout = t0_;
}
if (tout > tn_) {
printf("Cvode::interpolate assert error tn=%g tn-tout=%g  eps*t_=%g\n", tn_, tn_-tout, NetCvode::eps(t_));
	tout = tn_;
}
#endif
// if there is a problem here it may be due to the at_time skipping interval
// since the integration will not go past tstop_ and will take up at tstop+2eps
// see the Cvode::advance_tn() implementation
	assert( tout >= t0() && tout <= tn());

	++interpolate_calls_;
#if PARANEURON
		opmode_ = 2;
#endif
	if (use_daspk_) {
		return daspk_->interpolate(tout);
	}else{
		return cvode_interpolate(tout);
	}
}

int Cvode::cvode_advance_tn() {
#if PRINT_EVENT
if (net_cvode_instance->print_event_ > 1) {
printf("Cvode::cvode_advance_tn %p %d initialize_=%d tstop=%.20g t_=%.20g to ",
this, nth_?nth_->id:0, initialize_, tstop_, t_);
}
#endif
	CVodeSetStopTime(mem_, tstop_);
//printf("cvode_advance_tn begin t0_=%g t_=%g tn_=%g tstop=%g\n", t0_, t_, tn_, tstop_);
	int err = CVode(mem_, tstop_, y_, &t_, CV_ONE_STEP_TSTOP);
#if PRINT_EVENT
if (net_cvode_instance->print_event_ > 1) {
printf("t_=%.20g\n", t_);
}
#endif
	if (err < 0 ) {
		printf("CVode %p %s advance_tn failed, err=%d.\n", this, secname(ctd_[0].v_node_[ctd_[0].rootnodecount_]->sec), err);
		(*pf_)(t_, y_, nil, (void*)this);
		return err;
	}
	// this is very bad, performance-wise. However cvode modifies its states
	// after a call to fun with the proper t.
#if 1
	(*pf_)(t_, y_, nil, (void*)this);
#else
	NrnThread* _nt;
	scatter_y(y_);
#endif
	tn_ = ((CVodeMem)mem_)->cv_tn;
	t0_ = tn_ - ((CVodeMem)mem_)->cv_h;
//printf("t=%.15g t_=%.15g tn()=%.15g tstop_=%.15g t0_=%.15g\n", nrn_threads->t, t_, tn(), tstop_, t0_);
//	printf("t_=%g h=%g q=%d y=%g\n", t_, ((CVodeMem)mem_)->cv_h, ((CVodeMem)mem_)->cv_q, N_VIth(y_,0));
//printf("cvode_advance_tn end t0_=%g t_=%g tn_=%g\n", t0_, t_, tn_);
	return SUCCESS;
}

int Cvode::cvode_interpolate(double tout) {
#if PRINT_EVENT
if (net_cvode_instance->print_event_ > 1) {
printf("Cvode::cvode_interpolate %p %d initialize_%d t=%.20g to ",
this, nth_?nth_->id:0, initialize_, t_);
}
#endif
	// avoid CVode-- tstop = 0.5 is behind  current t = 0.5
	// is this really necessary anymore. Maybe NORMAL mode ignores tstop
	CVodeSetStopTime(mem_, tstop_ + tstop_);
	int err = CVode(mem_, tout, y_, &t_, CV_NORMAL);
#if PRINT_EVENT
if (net_cvode_instance->print_event_ > 1) {
printf("%.20g\n", t_);
}
#endif
	if (err < 0) {
		printf("CVode %p %s interpolate failed, err=%d.\n", this, secname(ctd_[0].v_node_[ctd_[0].rootnodecount_]->sec), err);
		return err;
	}
	(*pf_)(t_, y_, nil, (void*)this);
//	printf("t_=%g h=%g q=%d y=%g\n", t_, ((CVodeMem)mem_)->cv_h, ((CVodeMem)mem_)->cv_q, N_VIth(y_,0));
	return SUCCESS;
}

int Cvode::daspk_advance_tn() {
	int flag, err;
	double tin;
//printf("Cvode::solve test stop time t=%.20g tstop-t=%g\n", t, tstop_-t);
//printf("in Cvode::solve t_=%g tstop=%g calling  daspk_->solve(%g)\n", t_, tstop_, daspk_->tout_);
	err = daspk_->advance_tn(tstop_);
//printf("in Cvode::solve returning from daspk_->solve t_=%g initialize_=%d tstop=%g\n", t_, initialize__, tstop_);
	if (err < 0) {
		return err;
	}
	return SUCCESS;
}

N_Vector Cvode::ewtvec() {
	if (use_daspk_) {
		return daspk_->ewtvec();
	}else{
		return ((CVodeMem)mem_)->cv_ewt;
	}
}

N_Vector Cvode::acorvec() {
	if (use_daspk_) {
		return daspk_->acorvec();
	}else{
		return ((CVodeMem)mem_)->cv_acor;
	}
}

void Cvode::statistics() {
#if 1
	printf("\nCvode instance %p %s statistics : %d %s states\n",
		this, secname(ctd_[0].v_node_[ctd_[0].rootnodecount_]->sec), neq_,
		(use_daspk_ ? "IDA" : "CVode"));
	printf("   %d advance_tn, %d interpolate, %d init (%d due to at_time)\n", advance_calls_, interpolate_calls_, init_calls_, ts_inits_);
	printf("   %d function evaluations, %d mx=b solves, %d jacobian setups\n", f_calls_, mxb_calls_, jac_calls_);
	if (use_daspk_) {
		daspk_->statistics();
		return;
	}
#else
	printf("\nCVode Statistics.. \n\n");
	printf("internal steps = %d\nfunction evaluations = %d\n",
		iopt_[NST], iopt_[NFE]);
	printf("newton iterations = %d  setups = %d\n nonlinear convergence failures = %d\n\
 local error test failures = %ld\n",
		iopt_[NNI], iopt_[NSETUPS], iopt_[NCFN], iopt_[NETF]);
	printf("order=%d stepsize=%g\n", iopt_[QU], h());
#endif
}

void Cvode::matmeth() {
	switch ( ncv_->jacobian() ) {
	case 1:
		CVDense(mem_, neq_);
		break;
	case 2:
		CVDiag(mem_);
		break;
	default:
		((CVodeMem)mem_)->cv_linit = minit;
		((CVodeMem)mem_)->cv_lsetup = msetup;
		((CVodeMem)mem_)->cv_setupNonNull = TRUE; // but since our's does not do anything...
	    if (nth_) { // lvardt
		((CVodeMem)mem_)->cv_lsolve = msolve_lvardt;
	    }else{
		((CVodeMem)mem_)->cv_lsolve = msolve;
	    }
		((CVodeMem)mem_)->cv_lfree = mfree;
		break;
	}
}

static int minit(CVodeMem) {
//	printf("minit\n");
	return CV_NO_FAILURES;
}

static int msetup(CVodeMem m, int convfail,
	N_Vector yp, N_Vector fp, booleantype* jcurPtr,
	N_Vector, N_Vector, N_Vector)
{
//	printf("msetup\n");
	*jcurPtr = true;
	Cvode* cv = (Cvode*)m->cv_f_data;
	return cv->setup(yp, fp);
}

static N_Vector msolve_b_;
static N_Vector msolve_ycur_;
static Cvode* msolve_cv_;
static int msolve(CVodeMem m, N_Vector b, N_Vector weight, N_Vector ycur, N_Vector fcur) {
//	printf("msolve gamma=%g gammap=%g gamrat=%g\n", m->cv_gamma, m->cv_gammap, m->cv_gamrat);
//	N_VIth(b, 0) /= (1. + m->cv_gamma);
//	N_VIth(b, 0) /= (1. + m->cv_gammap);
//	N_VIth(b,0) *= 2./(1. + m->cv_gamrat);
	msolve_cv_ = (Cvode*)m->cv_f_data;
	Cvode& cv = *msolve_cv_;
	++cv.mxb_calls_;
	if (cv.ncv_->stiff() == 0) { return 0; }
	if (cv.gam() == 0.) { return 0; } // i.e. (I - gamma * J)*x = b means x = b
	msolve_b_ = b;
	msolve_ycur_ = ycur;
	if (nrn_multisplit_setup_ && nrn_nthread > 1) {
		nrn_multithread_job(msolve_thread_part1);
		nrn_multithread_job(msolve_thread_part2);
		nrn_multithread_job(msolve_thread_part3);
	}else{
		nrn_multithread_job(msolve_thread);
	}
	return 0;
}
static int msolve_lvardt(CVodeMem m, N_Vector b, N_Vector weight, N_Vector ycur, N_Vector fcur) {
	Cvode* cv = (Cvode*)m->cv_f_data;
	++cv->mxb_calls_;
	if (cv->ncv_->stiff() == 0) { return 0; }
	if (cv->gam() == 0.) { return 0; }
	cv->nth_->_vcv = cv;
	cv->solvex_thread(cv->n_vector_data(b, 0),
	  cv->n_vector_data(ycur, 0), cv->nth_);
	cv->nth_->_vcv = 0;
	return 0;
}
static void* msolve_thread(NrnThread* nt) {
	int i = nt->id;
	Cvode* cv = msolve_cv_;
	nt->_vcv = cv;
	cv->solvex_thread(cv->n_vector_data(msolve_b_, i),
	  cv->n_vector_data(msolve_ycur_, i), nt);
	nt->_vcv = 0;
	return 0;
}
static void* msolve_thread_part1(NrnThread* nt) {
	int i = nt->id;
	Cvode* cv = msolve_cv_;
	nt->_vcv = cv;
	cv->solvex_thread_part1(cv->n_vector_data(msolve_b_, i), nt);
	return 0;
}
static void* msolve_thread_part2(NrnThread* nt) {
	int i = nt->id;
	Cvode* cv = msolve_cv_;
	cv->solvex_thread_part2(nt);
	return 0;
}
static void* msolve_thread_part3(NrnThread* nt) {
	int i = nt->id;
	Cvode* cv = msolve_cv_;
	cv->solvex_thread_part3(cv->n_vector_data(msolve_b_, i), nt);
	nt->_vcv = 0;
	return 0;
}

static void mfree(CVodeMem) {
//	printf("mfree\n");
}

static realtype f_t_;
static N_Vector f_y_;
static N_Vector f_ydot_;
static Cvode* f_cv_;
static void f_gvardt(realtype t, N_Vector y, N_Vector ydot, void *f_data) {
	//ydot[0] = -y[0];
//	N_VIth(ydot, 0) = -N_VIth(y, 0);
//printf("f(%g, %p, %p)\n", t, y, ydot);
	f_cv_ = (Cvode*)f_data;
	++f_cv_->f_calls_;
	f_t_ = t;
	f_y_ = y;
	f_ydot_ = ydot;
	if (nrn_nthread > 1 || nrnmpi_numprocs > 1) {
		if (nrn_multisplit_setup_) {
			nrn_multithread_job(f_thread_ms_part1);
			nrn_multithread_job(f_thread_ms_part2);
			if (nrnthread_v_transfer_) {
				nrn_multithread_job(f_thread_ms_part3);
				if (nrnmpi_v_transfer_) {
					(*nrnmpi_v_transfer_)();
				}
				nrn_multithread_job(f_thread_ms_part4);
			}else{
				nrn_multithread_job(f_thread_ms_part34);
			}
		}else if (nrnthread_v_transfer_) {
			nrn_multithread_job(f_thread_transfer_part1);
			if (nrnmpi_v_transfer_) {
				(*nrnmpi_v_transfer_)();
			}
			nrn_multithread_job(f_thread_transfer_part2);
		}else{
			nrn_multithread_job(f_thread);
		}
	}else{
		nrn_multithread_job(f_thread);
	}
}
static void f_lvardt(realtype t, N_Vector y, N_Vector ydot, void *f_data) {
	Cvode* cv = (Cvode*)f_data;
	++cv->f_calls_;
	cv->nth_->_vcv = cv;
	cv->fun_thread(t, cv->n_vector_data(y, 0),
		cv->n_vector_data(ydot, 0), cv->nth_);
	cv->nth_->_vcv = 0;
}

static void* f_thread(NrnThread* nt) {
	int i = nt->id;
	Cvode* cv = f_cv_;
	nt->_vcv = cv;
	cv->fun_thread(f_t_, cv->n_vector_data(f_y_, i),
		cv->n_vector_data(f_ydot_, i), nt);
	nt->_vcv = 0;
	return 0;
}
static void* f_thread_transfer_part1(NrnThread* nt) {
	int i = nt->id;
	Cvode* cv = f_cv_;
	nt->_vcv = cv;
	cv->fun_thread_transfer_part1(f_t_, cv->n_vector_data(f_y_, i), nt);
	return 0;
}
static void* f_thread_transfer_part2(NrnThread* nt) {
	int i = nt->id;
	Cvode* cv = f_cv_;
	cv->fun_thread_transfer_part2(cv->n_vector_data(f_ydot_, i), nt);
	nt->_vcv = 0;
	return 0;
}
static void* f_thread_ms_part1(NrnThread* nt) {
	int i = nt->id;
	Cvode* cv = f_cv_;
	nt->_vcv = cv;
	cv->fun_thread_ms_part1(f_t_, cv->n_vector_data(f_y_, i), nt);
	return 0;
}
static void* f_thread_ms_part2(NrnThread* nt) {
	int i = nt->id;
	Cvode* cv = f_cv_;
	cv->fun_thread_ms_part2(nt);
	return 0;
}
static void* f_thread_ms_part3(NrnThread* nt) {
	int i = nt->id;
	Cvode* cv = f_cv_;
	cv->fun_thread_ms_part3(nt);
	return 0;
}
static void* f_thread_ms_part4(NrnThread* nt) {
	int i = nt->id;
	Cvode* cv = f_cv_;
	cv->fun_thread_ms_part4(cv->n_vector_data(f_ydot_, i), nt);
	return 0;
}
static void* f_thread_ms_part34(NrnThread* nt) {
	int i = nt->id;
	Cvode* cv = f_cv_;
	cv->fun_thread_ms_part34(cv->n_vector_data(f_ydot_, i), nt);
	nt->_vcv = 0;
	return 0;
}
