docs(version): v0.7.6rc3 -> v0.7.6rc3.1

this version uses the target workaround which we use for the SUNDIALS suite to get meson to recognize it as position indepenednt code to CppAD

Doxyfile

@@ -48,7 +48,7 @@ PROJECT_NAME           = GridFire
 # could be handy for archiving the generated documentation or if some version
 # control system is used.
 
-PROJECT_NUMBER         = v0.7.4_rc2
+PROJECT_NUMBER         = v0.7.5rc3
 
 # Using the PROJECT_BRIEF tag one can provide an optional one line description
 # for a project that appears at the top of each page and should give viewers a

benchmarks/SingleZoneSolver/main.cpp

@@ -19,15 +19,7 @@
 #include <clocale>
 
 #include "gridfire/reaction/reaclib.h"
-#include <omp.h>
+#include "gridfire/utils/gf_omp.h"
-
-unsigned long get_thread_id() {
-    return static_cast<unsigned long>(omp_get_thread_num());
-}
-
-bool in_parallel() {
-    return omp_in_parallel() != 0;
-}
 
 gridfire::NetIn init(const double temp, const double rho, const double tMax) {
     std::setlocale(LC_ALL, "");
@@ -55,6 +47,7 @@ gridfire::NetIn init(const double temp, const double rho, const double tMax) {
 
 
 int main() {
+    GF_PAR_INIT()
     using namespace gridfire;
 
     constexpr size_t breaks = 1;
@@ -70,7 +63,7 @@ int main() {
     std::println("Scratch Blob State: {}", *construct.scratch_blob);
 
 
-    constexpr size_t runs = 1000;
+    constexpr size_t runs = 10;
     auto startTime = std::chrono::high_resolution_clock::now();
 
     // arrays to store timings
@@ -79,14 +72,15 @@ int main() {
     std::array<NetOut, runs> serial_results;
     for (size_t i = 0; i < runs; ++i) {
         auto start_setup_time = std::chrono::high_resolution_clock::now();
-        solver::CVODESolverStrategy solver(construct.engine, *construct.scratch_blob);
+        solver::PointSolverContext solverCtx(*construct.scratch_blob);
-        solver.set_stdout_logging_enabled(false);
+        solverCtx.set_stdout_logging(false);
+        solver::PointSolver solver(construct.engine);
         auto end_setup_time = std::chrono::high_resolution_clock::now();
         std::chrono::duration<double> setup_elapsed = end_setup_time - start_setup_time;
         setup_times[i] = setup_elapsed;
 
         auto start_eval_time = std::chrono::high_resolution_clock::now();
-        const NetOut netOut = solver.evaluate(netIn);
+        const NetOut netOut = solver.evaluate(solverCtx, netIn);
         auto end_eval_time = std::chrono::high_resolution_clock::now();
         serial_results[i] = netOut;
         std::chrono::duration<double> eval_elapsed = end_eval_time - start_eval_time;
@@ -106,17 +100,7 @@ int main() {
     std::println("Average Setup Time over {} runs: {:.6f} seconds", runs, total_setup_time / runs);
     std::println("Average Evaluation Time over {} runs: {:.6f} seconds", runs, total_eval_time / runs);
     std::println("Total Time for {} runs: {:.6f} seconds", runs, elapsed.count());
-    std::println("Final H-1 Abundances Serial: {}", serial_results[0].composition.getMolarAbundance(fourdst::atomic::H_1));
 
-    CppAD::thread_alloc::parallel_setup(
-        static_cast<size_t>(omp_get_max_threads()), // Max threads
-        []() -> bool { return in_parallel(); },                              // Function to get thread ID
-        []() -> size_t { return get_thread_id(); }                                 // Function to check parallel state
-    );
-
-    // OPTIONAL: Prevent CppAD from returning memory to the system
-    // during execution to reduce overhead (can speed up tight loops)
-    CppAD::thread_alloc::hold_memory(true);
 
     std::array<NetOut, runs> parallelResults;
     std::array<std::chrono::duration<double>, runs> setupTimes;
@@ -129,16 +113,17 @@ int main() {
 
     // Parallel runs
     startTime = std::chrono::high_resolution_clock::now();
-    #pragma omp parallel for
+
-    for (size_t i = 0; i < runs; ++i) {
+    GF_OMP(parallel for, for (size_t i = 0; i < runs; ++i)) {
         auto start_setup_time = std::chrono::high_resolution_clock::now();
-        solver::CVODESolverStrategy solver(construct.engine, *workspaces[i]);
+        solver::PointSolverContext solverCtx(*construct.scratch_blob);
-        solver.set_stdout_logging_enabled(false);
+        solverCtx.set_stdout_logging(false);
+        solver::PointSolver solver(construct.engine);
         auto end_setup_time = std::chrono::high_resolution_clock::now();
         std::chrono::duration<double> setup_elapsed = end_setup_time - start_setup_time;
         setupTimes[i] = setup_elapsed;
         auto start_eval_time = std::chrono::high_resolution_clock::now();
-        parallelResults[i] = solver.evaluate(netIn);
+        parallelResults[i] = solver.evaluate(solverCtx, netIn);
         auto end_eval_time = std::chrono::high_resolution_clock::now();
         std::chrono::duration<double> eval_elapsed = end_eval_time - start_eval_time;
         evalTimes[i] = eval_elapsed;
@@ -159,10 +144,6 @@ int main() {
     std::println("Average Parallel Evaluation Time over {} runs: {:.6f} seconds", runs, total_eval_time / runs);
     std::println("Total Parallel Time for {} runs: {:.6f} seconds", runs, elapsed.count());
 
-    std::println("Final H-1 Abundances Parallel: {}", utils::iterable_to_delimited_string(parallelResults, ",", [](const auto& result) {
-        return result.composition.getMolarAbundance(fourdst::atomic::H_1);
-    }));
-
     std::println("========== Summary ==========");
     std::println("Serial Runs:");
     std::println("  Average Setup Time: {:.6f} seconds", total_setup_time / runs);

benchmarks/meson.build

@@ -0,0 +1,3 @@
+if get_option('build_benchmarks')
+  subdir('SingleZoneSolver')
+endif

build-check/CPPC/meson.build

@@ -33,5 +33,18 @@ else
 endif
 
 if get_option('openmp_support')
-    add_project_arguments('-DGRIDFIRE_USE_OPENMP', language: 'cpp')
+    add_project_arguments('-DGF_USE_OPENMP', language: 'cpp')
+endif
+
+if get_option('asan') and get_option('buildtype') != 'debug' and get_option('buildtype') != 'debugoptimized'
+    error('AddressSanitizer (ASan) can only be enabled for debug or debugoptimized builds')
+endif
+
+if get_option('asan') and (get_option('buildtype') == 'debugoptimized' or get_option('buildtype') == 'debug')
+    message('enabling AddressSanitizer (ASan) support')
+    add_project_arguments('-fsanitize=address,undefined', language: 'cpp')
+    add_project_arguments('-fno-omit-frame-pointer', language: 'cpp')
+
+    add_project_link_arguments('-fsanitize=address,undefined', language: 'cpp')
+    add_project_link_arguments('-fno-omit-frame-pointer', language: 'cpp')
 endif

build-check/FC/meson.build

@@ -1,5 +1,10 @@
 if get_option('build_fortran')
-  add_languages('fortran', native: true)
+  found_fortran = add_languages('fortran')
+    if not found_fortran
+      error('Fortran compiler not found, but build_fortran option is enabled.')
+    else
+        message('Fortran compiler found.')
+    endif
   message('Found FORTRAN compiler: ' + meson.get_compiler('fortran').get_id())
   message('Fortran standard set to: ' + get_option('fortran_std'))
   message('Building fortran module (gridfire_mod.mod)')

build-config/cppad/meson.build

@@ -1,26 +1,36 @@
-#cppad_inc = include_directories('include', is_system: true)
-#cppad_dep = declare_dependency(
-#  include_directories: cppad_inc,
-#)
-#
-#message('Registering CppAD headers for installation...')
-#install_subdir('include/cppad', install_dir: get_option('includedir'))
-#message('Done registering CppAD headers for installation!')
-#
-
-
 cppad_cmake_options = cmake.subproject_options()
 
 cppad_cmake_options.add_cmake_defines({
     'cppad_static_lib': 'true',
     'cpp_mas_num_threads': '10',
     'cppad_debug_and_release': 'false',
-    'include_doc': 'false'
+    'include_doc': 'false',
+    'CMAKE_POSITION_INDEPENDENT_CODE': true
 })
 
+cppad_cmake_options.set_install(false)
+
 cppad_sp = cmake.subproject(
     'cppad',
     options: cppad_cmake_options,
 )
 
-cppad_dep = cppad_sp.dependency('cppad_lib').as_system()
+cppad_target = cppad_sp.target('cppad_lib')
+cppad_objs = [cppad_target.extract_all_objects(recursive: true)]
+cppad_incs = cppad_sp.include_directories('cppad_lib')
+
+empty_cppad_file = configure_file(output: 'cppad_dummy_ar.cpp', command: ['echo'], capture: true)
+
+libcppad_static = static_library(
+  'cppad-static',
+  empty_cppad_file,
+  objects: cppad_objs,
+  include_directories: cppad_incs,
+  pic: true,
+  install: false
+)
+
+cppad_dep = declare_dependency(
+  link_with: libcppad_static,
+  include_directories: cppad_incs
+)

build-config/python/meson.build

@@ -7,10 +7,10 @@ if meson.is_cross_build() and host_machine.system() == 'darwin'
   py_inc_dir = include_directories('../../cross/python_includes/python-' + py_ver + '/include/python' + py_ver)
   py_dep = declare_dependency(include_directories: py_inc_dir)
   py_module_prefix = ''
-  py_module_suffic = 'so'
+  py_module_suffix = 'so'
   meson.override_dependency('python3', py_dep)
 else
   py_dep = py_installation.dependency()
   py_module_prefix = ''
-  py_module_suffic = 'so'
+  py_module_suffix = 'so'
 endif

build-config/sundials/cvode/meson.build

@@ -7,7 +7,8 @@ cvode_cmake_options.add_cmake_defines({
     'BUILD_SHARED_LIBS' : 'OFF',
     'BUILD_STATIC_LIBS' : 'ON',
     'EXAMPLES_ENABLE_C' : 'OFF',
-    'CMAKE_POSITION_INDEPENDENT_CODE': true
+    'CMAKE_POSITION_INDEPENDENT_CODE': true,
+    'CMAKE_PLATFORM_NO_VERSIONED_SONAME': 'ON'
 
 })
 
@@ -16,6 +17,8 @@ cvode_cmake_options.add_cmake_defines({
     'CMAKE_INSTALL_INCLUDEDIR': get_option('includedir')
 })
 
+cvode_cmake_options.set_install(false)
+
 if meson.is_cross_build() and host_machine.system() == 'emscripten'
   cvode_cmake_options.add_cmake_defines({
       'CMAKE_C_FLAGS': '-s MEMORY64=1 -s ALLOW_MEMORY_GROWTH=1',

build-config/sundials/kinsol/meson.build

@@ -8,7 +8,8 @@ kinsol_cmake_options.add_cmake_defines({
     'BUILD_SHARED_LIBS' : 'OFF',
     'BUILD_STATIC_LIBS' : 'ON',
     'EXAMPLES_ENABLE_C' : 'OFF',
-    'CMAKE_POSITION_INDEPENDENT_CODE': true
+    'CMAKE_POSITION_INDEPENDENT_CODE': true,
+    'CMAKE_PLATFORM_NO_VERSIONED_SONAME': 'ON'
 })
 
 kinsol_cmake_options.add_cmake_defines({
@@ -16,6 +17,8 @@ kinsol_cmake_options.add_cmake_defines({
     'CMAKE_INSTALL_INCLUDEDIR': get_option('includedir')
 })
 
+kinsol_cmake_options.set_install(false)
+
 kinsol_sp = cmake.subproject(
     'kinsol',
     options: kinsol_cmake_options,

build-python/meson.build

@@ -28,6 +28,8 @@ if get_option('build_python')
           meson.project_source_root() + '/src/python/policy/bindings.cpp',
           meson.project_source_root() + '/src/python/policy/trampoline/py_policy.cpp',
           meson.project_source_root() + '/src/python/utils/bindings.cpp',
+          meson.project_source_root() + '/src/python/config/bindings.cpp',
+          meson.project_source_root() + '/src/python/engine/scratchpads/bindings.cpp',
       ]
 
 
@@ -56,6 +58,7 @@ if get_option('build_python')
       files(
           meson.project_source_root() + '/src/python/gridfire/__init__.py',
           meson.project_source_root() + '/stubs/gridfire/_gridfire/__init__.pyi',
+          meson.project_source_root() + '/stubs/gridfire/_gridfire/config.pyi',
           meson.project_source_root() + '/stubs/gridfire/_gridfire/exceptions.pyi',
           meson.project_source_root() + '/stubs/gridfire/_gridfire/partition.pyi',
           meson.project_source_root() + '/stubs/gridfire/_gridfire/reaction.pyi',
@@ -72,6 +75,7 @@ if get_option('build_python')
       files(
           meson.project_source_root() + '/stubs/gridfire/_gridfire/engine/__init__.pyi',
           meson.project_source_root() + '/stubs/gridfire/_gridfire/engine/diagnostics.pyi',
+          meson.project_source_root() + '/stubs/gridfire/_gridfire/engine/scratchpads.pyi'
       ),
       subdir: 'gridfire/engine',
   )

meson.build

@@ -18,7 +18,7 @@
 #   Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
 #
 # *********************************************************************** #
-project('GridFire', ['c', 'cpp'], version: 'v0.7.4_rc2', default_options: ['cpp_std=c++23'], meson_version: '>=1.5.0')
+project('GridFire', ['c', 'cpp'], version: 'v0.7.6rc3.1', default_options: ['cpp_std=c++23'], meson_version: '>=1.5.0')
 
 # Start by running the code which validates the build environment
 subdir('build-check')

meson_options.txt

@@ -12,3 +12,4 @@ option('build_tools', type: 'boolean', value: true, description: 'build the Grid
 option('openmp_support', type: 'boolean', value: false, description: 'Enable OpenMP support for parallelization')
 option('use_mimalloc', type: 'boolean', value: true, description: 'Use mimalloc as the memory allocator for GridFire. Generally this is ~10% faster than the system allocator.')
 option('build_benchmarks', type: 'boolean', value: false, description: 'build the benchmark suite')
+option('asan', type: 'boolean', value: false, description: 'Enable AddressSanitizer (ASan) support for detecting memory errors')

pip_install_mac_patch.sh

@@ -56,7 +56,7 @@ echo "Site packages: $SITE_PACKAGES"
 echo ""
 
 echo -e "${GREEN}Step 2: Installing fourdst with pip...${NC}"
-$PYTHON_BIN -m pip install . -v
+$PYTHON_BIN -m pip install . -v --no-build-isolation
 
 if [ $? -ne 0 ]; then
     echo -e "${RED}Error: pip install failed${NC}"

pyproject.toml

@@ -1,14 +1,14 @@
 [build-system]
 requires = [
     "meson-python>=0.15.0", # Use a recent version
-    "meson>=1.6.0",        # Specify your Meson version requirement
+    "meson==1.9.1",        # Specify your Meson version requirement
     "pybind11>=2.10"       # pybind11 headers needed at build time
 ]
 build-backend = "mesonpy"
 
 [project]
 name = "gridfire"  # Choose your Python package name
-version = "0.7.4_rc2" # Your project's version
+version = "v0.7.5rc3" # Your project's version
 description = "Python interface to the GridFire nuclear network code"
 readme = "README.md"
 license = { file = "LICENSE.txt" } # Reference your license file [cite: 2]
@@ -22,4 +22,4 @@ maintainers = [
 ]
 
 [tool.meson-python.args]
-setup = ['-Dpkg-config=false']
+setup = ['-Dpkg_config=false', '-Dbuildtype=release', '-Dopenmp_support=true', '-Dasan=false', '-Dlog_level=error', '-Dbuild_tests=false', '-Dbuild_c_api=false', '-Dbuild_examples=false', '-Dbuild_benchmarks=false', '-Dbuild_tools=false', '-Dplugin_support=false', '-Duse_mimalloc=false', '-Dbuild_python=true']

src/extern/fortran/gridfire_mod.f90

@@ -2,6 +2,14 @@ module gridfire_mod
     use iso_c_binding
     implicit none
 
+    type, public :: GF_TYPE
+        integer(c_int) :: value
+    end type GF_TYPE
+
+    type(GF_TYPE), parameter, public :: &
+            SINGLE_ZONE   = GF_TYPE(1001), &
+            MULTI_ZONE    = GF_TYPE(1002)
+
     enum, bind (C)
         enumerator :: FDSSE_NON_4DSTAR_ERROR = -102
         enumerator :: FDSSE_UNKNOWN_ERROR = -101
@@ -50,24 +58,46 @@ module gridfire_mod
         enumerator :: GF_DEBUG_ERRROR = 30
 
         enumerator :: GF_GRIDFIRE_ERROR = 31
+        enumerator :: GF_UNINITIALIZED_INPUT_MEMORY_ERROR = 32
+        enumerator :: GF_UNINITIALIZED_OUTPUT_MEMORY_ERROR = 33
+
+        enumerator :: GF_INVALD_NUM_SPECIES = 34
+        enumerator :: GF_INVALID_TIMESTEPS = 35
+        enumerator :: GF_UNKNONWN_FREE_TYPE = 36
+
+        enumerator :: GF_INVALID_TYPE = 37
+
+        enumerator :: GF_SINGLE_ZONE = 1001
+        enumerator :: GF_MULTI_ZONE = 1002
     end enum
 
     interface
         ! void* gf_init()
-        function gf_init() bind(C, name="gf_init")
+        function gf_init(ctx_type) bind(C, name="gf_init")
-            import :: c_ptr
+            import :: c_ptr, c_int
             type(c_ptr) :: gf_init
+            integer(c_int), value :: ctx_type
         end function gf_init
 
-        ! void gf_free(void* gf)
+        ! int gf_free(void* gf)
-        subroutine gf_free(gf) bind(C, name="gf_free")
+        function gf_free(ctx_type, ptr) result(c_res) bind(C, name="gf_free")
-            import :: c_ptr
+            import :: c_ptr, c_int
-            type(c_ptr), value :: gf
+            type(c_ptr), value :: ptr
-        end subroutine gf_free
+            integer(c_int), value :: ctx_type
+            integer(c_int) :: c_res
+        end function gf_free
+
+        function gf_set_num_zones(ctx_type, ptr, num_zones) result(c_res) bind(C, name="gf_set_num_zones")
+            import :: c_ptr, c_int, c_size_t
+            type(c_ptr), value :: ptr
+            integer(c_int), value :: ctx_type
+            integer(c_size_t), value :: num_zones
+            integer(c_int) :: c_res
+        end function gf_set_num_zones
 
         ! char* gf_get_last_error_message(void* ptr);
         function gf_get_last_error_message(ptr) result(c_msg) bind(C, name="gf_get_last_error_message")
-            import
+            import :: c_ptr, c_int
             type(c_ptr), value :: ptr
             type(c_ptr) :: c_msg
         end function
@@ -102,49 +132,116 @@ module gridfire_mod
         end function
 
         ! int gf_evolve(...)
-        function gf_evolve(ptr, Y_in, num_species, T, rho, dt, Y_out, energy_out, dEps_dT, dEps_dRho, specific_neutrino_loss, specific_neutrino_flux, mass_lost) result(ierr) &
+        function gf_evolve_c_scalar(ctx_type, ptr, Y_in, num_species, T, rho, tMax, dt0, &
+                Y_out, energy, dedt, dedrho, &
+                nue_loss, nu_flux, mass_lost) result(ierr) &
                 bind(C, name="gf_evolve")
-            import
+            import :: c_ptr, c_int, c_double, c_size_t
             type(c_ptr), value :: ptr
-            real(c_double), dimension(*), intent(in) :: Y_in
+            integer(c_int), value :: ctx_type
             integer(c_size_t), value :: num_species
-            real(c_double), value :: T, rho, dt
+
+            ! Arrays
+            real(c_double), dimension(*), intent(in) :: Y_in
             real(c_double), dimension(*), intent(out) :: Y_out
-            real(c_double), intent(out) :: energy_out, dEps_dT, dEps_dRho, specific_neutrino_loss, specific_neutrino_flux, mass_lost
+
+            ! Scalars (Passed by Reference -> matches void*)
+            real(c_double), intent(in) :: T, rho
+            real(c_double), intent(out) :: energy, dedt, dedrho, nue_loss, nu_flux, mass_lost
+
+            ! Scalars (Passed by Value)
+            real(c_double), value :: tMax, dt0
+
+            integer(c_int) :: ierr
+        end function
+
+        ! 2. Interface for Multi Zone (Arrays)
+        function gf_evolve_c_array(ctx_type, ptr, Y_in, num_species, T, rho, tMax, dt0, &
+                Y_out, energy, dedt, dedrho, &
+                nue_loss, nu_flux, mass_lost) result(ierr) &
+                bind(C, name="gf_evolve")
+            import :: c_ptr, c_int, c_double, c_size_t
+            type(c_ptr), value :: ptr
+            integer(c_int), value :: ctx_type
+            integer(c_size_t), value :: num_species
+
+            ! All Arrays (dimension(*))
+            real(c_double), dimension(*), intent(in) :: Y_in
+            real(c_double), dimension(*), intent(in) :: T, rho
+
+            real(c_double), dimension(*), intent(out) :: Y_out
+            real(c_double), dimension(*), intent(out) :: energy, dedt, dedrho, nue_loss, nu_flux, mass_lost
+
+            ! Scalars (Passed by Value)
+            real(c_double), value :: tMax, dt0
+
             integer(c_int) :: ierr
         end function
     end interface
 
     type :: GridFire
         type(c_ptr) :: ctx = c_null_ptr
+        integer(c_int) :: ctx_type = SINGLE_ZONE%value
         integer(c_size_t) :: num_species = 0
+        integer(c_size_t) :: num_zones = 1
     contains
         procedure :: gff_init
         procedure :: gff_free
-        procedure :: register_species
+        procedure :: gff_register_species
-        procedure :: setup_policy
+        procedure :: gff_setup_policy
-        procedure :: setup_solver
+        procedure :: gff_setup_solver
-        procedure :: evolve
+        procedure :: gff_get_last_error
-        procedure :: get_last_error
+
+        procedure :: gff_evolve_single
+        procedure :: gff_evolve_multi
+
+        generic :: gff_evolve => gff_evolve_single, gff_evolve_multi
     end type GridFire
 
     contains
-        subroutine gff_init(self)
+        subroutine gff_init(self, type, zones)
             class(GridFire), intent(out) :: self
+            type(GF_TYPE), intent(in)    :: type
+            integer(c_size_t), intent(in), optional :: zones
+            integer(c_int) :: ierr
 
-            self%ctx = gf_init()
+            if (type%value==1002) then
+                if (.not. present(zones)) then
+                    print *, "GridFire Error: Multi-zone type requires number of zones to be specficied in the GridFire init method (i.e. GridFire(MULTI_ZONE, 10) for 10 zones)."
+                    error stop
+                end if
+
+                self%num_zones = zones
+            end if
+
+            self%ctx_type = type%value
+
+            self%ctx = gf_init(self%ctx_type)
+
+            if (type%value==1002) then
+                ierr = gf_set_num_zones(self%ctx_type, self%ctx, self%num_zones)
+                if (ierr /= GF_SUCCESS .AND. ierr /= FDSSE_SUCCESS) then
+                    print *, "GridFire Multi-Zone Error: ", self%gff_get_last_error()
+                    error stop
+                end if
+            end if
         end subroutine gff_init
 
         subroutine gff_free(self)
             class(GridFire), intent(inout) :: self
+            integer(c_int) :: ierr
 
             if (c_associated(self%ctx)) then
-                call gf_free(self%ctx)
+                ierr = gf_free(self%ctx_type, self%ctx)
+                if (ierr /= GF_SUCCESS .AND. ierr /= FDSSE_SUCCESS) then
+                    print *, "GridFire Free Error: ", self%gff_get_last_error()
+                    error stop
+                end if
                 self%ctx = c_null_ptr
             end if
         end subroutine gff_free
 
-        function get_last_error(self) result(msg)
+        function gff_get_last_error(self) result(msg)
             class(GridFire), intent(in) :: self
             character(len=:), allocatable :: msg
             type(c_ptr) :: c_msg_ptr
@@ -169,9 +266,9 @@ module gridfire_mod
             do i = 1, len_str
                 msg(i+10:i+10) = char_ptr(i)
             end do
-        end function get_last_error
+        end function gff_get_last_error
 
-        subroutine register_species(self, species_list)
+        subroutine gff_register_species(self, species_list)
             class(GridFire), intent(inout) :: self
             character(len=*), dimension(:), intent(in) :: species_list
 
@@ -179,7 +276,6 @@ module gridfire_mod
             character(kind=c_char, len=:), allocatable, target :: temp_strs(:)
             integer :: i, n, ierr
 
-            print *, "Registering ", size(species_list), " species."
             n = size(species_list)
             self%num_species = int(n, c_size_t)
 
@@ -191,17 +287,14 @@ module gridfire_mod
                 c_ptrs(i) = c_loc(temp_strs(i))
             end do
 
-            print *, "Calling gf_register_species..."
             ierr = gf_register_species(self%ctx, int(n, c_int), c_ptrs)
-            print *, "gf_register_species returned with code: ", ierr
-
             if (ierr /= GF_SUCCESS .AND. ierr /= FDSSE_SUCCESS) then
-                print *, "GridFire: ", self%get_last_error()
+                print *, "GridFire: ", self%gff_get_last_error()
                 error stop
             end if
-        end subroutine register_species
+        end subroutine gff_register_species
 
-        subroutine setup_policy(self, policy_name, abundances)
+        subroutine gff_setup_policy(self, policy_name, abundances)
             class(GridFire), intent(in) :: self
             character(len=*), intent(in) :: policy_name
             real(c_double), dimension(:), intent(in) :: abundances
@@ -218,41 +311,59 @@ module gridfire_mod
                     self%num_species)
 
             if (ierr /= GF_SUCCESS .AND. ierr /= FDSSE_SUCCESS) then
-                print *, "GridFire Policy Error: ", self%get_last_error()
+                print *, "GridFire Policy Error: ", self%gff_get_last_error()
                 error stop
             end if
-        end subroutine setup_policy
+        end subroutine gff_setup_policy
 
-        subroutine setup_solver(self, solver_name)
+        subroutine gff_setup_solver(self, solver_name)
             class(GridFire), intent(in) :: self
             character(len=*), intent(in) :: solver_name
             integer(c_int) :: ierr
 
             ierr = gf_construct_solver_from_engine(self%ctx, trim(solver_name) // c_null_char)
             if (ierr /= GF_SUCCESS .AND. ierr /= FDSSE_SUCCESS) then
-                print *, "GridFire Solver Error: ", self%get_last_error()
+                print *, "GridFire Solver Error: ", self%gff_get_last_error()
                 error stop
             end if
-        end subroutine setup_solver
+        end subroutine gff_setup_solver
 
-        subroutine evolve(self, Y_in, T, rho, dt, Y_out, energy, dedt, dedrho, nu_e_loss, nu_flux, mass_lost, ierr)
+        subroutine gff_evolve_single(self, Y_in, T, rho, tMax, dt0, Y_out, energy, dedt, dedrho, nu_e_loss, nu_flux, mass_lost, ierr)
             class(GridFire), intent(in) :: self
             real(c_double), dimension(:), intent(in) :: Y_in
-            real(c_double), value :: T, rho, dt
+            real(c_double), intent(in) :: T, rho
+            real(c_double), value :: tMax, dt0
+
             real(c_double), dimension(:), intent(out) :: Y_out
             real(c_double), intent(out) :: energy, dedt, dedrho, nu_e_loss, nu_flux, mass_lost
             integer, intent(out) :: ierr
             integer(c_int) :: c_ierr
 
-            c_ierr = gf_evolve(self%ctx, &
+            c_ierr = gf_evolve_c_scalar(self%ctx_type, self%ctx, &
                     Y_in, self%num_species, &
-                    T, rho, dt, &
+                    T, rho, tMax, dt0, &
                     Y_out, &
                     energy, dedt, dedrho, nu_e_loss, nu_flux, mass_lost)
-
             ierr = int(c_ierr)
-            if (ierr /= GF_SUCCESS .AND. ierr /= FDSSE_SUCCESS) then
+        end subroutine gff_evolve_single
-                print *, "GridFire Evolve Error: ", self%get_last_error()
+
-            end if
+        subroutine gff_evolve_multi(self, Y_in, T, rho, tMax, dt0, Y_out, energy, dedt, dedrho, nu_e_loss, nu_flux, mass_lost, ierr)
-        end subroutine evolve
+            class(GridFire), intent(in) :: self
+            real(c_double), dimension(:,:), intent(in) :: Y_in
+            real(c_double), dimension(:), intent(in) :: T, rho
+            real(c_double), value :: tMax, dt0
+
+            real(c_double), dimension(:,:), intent(out) :: Y_out
+            real(c_double), dimension(:), intent(out) :: energy, dedt, dedrho, nu_e_loss, nu_flux, mass_lost
+            integer, intent(out) :: ierr
+            integer(c_int) :: c_ierr
+
+            c_ierr = gf_evolve_c_array(self%ctx_type, self%ctx, &
+                    Y_in, self%num_species, &
+                    T, rho, tMax, dt0, &
+                    Y_out, &
+                    energy, dedt, dedrho, nu_e_loss, nu_flux, mass_lost)
+            ierr = int(c_ierr)
+        end subroutine gff_evolve_multi
+
 end module gridfire_mod

src/extern/include/gridfire/extern/gridfire_context.h

@@ -7,19 +7,32 @@
 #include <memory>
 #include <vector>
 
-struct GridFireContext {
+enum class GFContextType {
+    POINT,
+    GRID
+};
+
+struct GFContext {
+    virtual ~GFContext() = default;
+
     std::unique_ptr<gridfire::policy::NetworkPolicy> policy;
-    gridfire::engine::DynamicEngine* engine;
+    const gridfire::engine::DynamicEngine* engine;
-    std::unique_ptr<gridfire::solver::DynamicNetworkSolverStrategy> solver;
+    std::unique_ptr<gridfire::engine::scratch::StateBlob> engine_ctx;
-
     std::vector<fourdst::atomic::Species> speciesList;
-    fourdst::composition::Composition working_comp;
 
-    void init_species_map(const std::vector<std::string>& species_names);
+    virtual void init_species_map(const std::vector<std::string>& species_names);
-    void init_engine_from_policy(const std::string& policy_name, const double *abundances, size_t num_species);
+    virtual void init_engine_from_policy(const std::string& policy_name, const double *abundances, size_t num_species);
-    void init_solver_from_engine(const std::string& solver_name);
+    virtual void init_solver_from_engine() = 0;
 
-    void init_composition_from_abundance_vector(const double* abundances, size_t num_species);
+    fourdst::composition::Composition init_composition_from_abundance_vector(const std::vector<double> &abundances, size_t num_species) const;
+    std::string last_error;
+};
+
+struct GFPointContext final: GFContext{
+    std::unique_ptr<gridfire::solver::SingleZoneDynamicNetworkSolver> solver;
+    std::unique_ptr<gridfire::solver::SolverContextBase> solver_ctx;
+
+    void init_solver_from_engine() override;
 
     int evolve(
         const double* Y_in,
@@ -35,9 +48,45 @@ struct GridFireContext {
         double& specific_neutrino_energy_loss,
         double& specific_neutrino_flux,
         double& mass_lost
-    );
+    ) const;
 
-    std::string last_error;
 };
 
+struct GFGridContext final : GFContext {
+    std::unique_ptr<gridfire::solver::SingleZoneDynamicNetworkSolver> local_solver;
+    std::unique_ptr<gridfire::solver::MultiZoneDynamicNetworkSolver> solver;
+    std::unique_ptr<gridfire::solver::SolverContextBase> solver_ctx;
+
+    void init_solver_from_engine() override;
+
+    size_t zones;
+
+    void set_zones(const size_t num_zones) {
+        zones = num_zones;
+    }
+
+    [[nodiscard]] size_t get_zones() const {
+        return zones;
+    }
+
+    int evolve(
+        const double* Y_in,
+        size_t num_species,
+        const double* T,
+        const double* rho,
+        double tMax,
+        double dt0,
+        double* Y_out,
+        double* energy_out,
+        double* dEps_dT,
+        double* dEps_dRho,
+        double* specific_neutrino_energy_loss,
+        double* specific_neutrino_flux,
+        double* mass_lost
+    ) const;
+
+};
+
+std::unique_ptr<GFContext> make_gf_context(const GFContextType& type);
+
 #endif

src/extern/include/gridfire/extern/gridfire_extern.h

@@ -6,6 +6,12 @@
 #ifdef __cplusplus
 extern "C" {
 #endif
+    enum GF_TYPE {
+        SINGLE_ZONE = 1001,
+        MULTI_ZONE = 1002
+    };
+
+
     enum FDSSE_ERROR_CODES {
         FDSSE_NON_4DSTAR_ERROR = -102,
         FDSSE_UNKNOWN_ERROR = -101,
@@ -54,37 +60,49 @@ extern "C" {
         GF_DEBUG_ERROR = 30,
 
         GF_GRIDFIRE_ERROR = 31,
+        GF_UNINITIALIZED_INPUT_MEMORY_ERROR = 32,
+        GF_UNINITIALIZED_OUTPUT_MEMORY_ERROR = 33,
+
+        GF_INVALID_NUM_SPECIES = 34,
+
+        GF_INVALID_TIMESTEPS = 35,
+        GF_UNKNOWN_FREE_TYPE = 36,
+
+        GF_INVALID_TYPE = 37,
     };
 
     char* gf_get_last_error_message(void* ptr);
 
     char* gf_error_code_to_string(int error_code);
 
-    void* gf_init();
+    void* gf_init(const enum GF_TYPE type);
 
-    void gf_free(void* ctx);
+    int gf_free(const enum GF_TYPE type, void *ctx);
+
+    int gf_set_num_zones(const enum GF_TYPE type, void* ptr, const size_t num_zones);
 
     int gf_register_species(void* ptr, const int num_species, const char** species_names);
 
     int gf_construct_engine_from_policy(void* ptr, const char* policy_name, const double *abundances, size_t num_species);
 
-    int gf_construct_solver_from_engine(void* ptr, const char* solver_name);
+    int gf_construct_solver_from_engine(void* ptr);
 
     int gf_evolve(
+        enum GF_TYPE type,
         void* ptr,
-        const double* Y_in,
+        const void* Y_in,
         size_t num_species,
-        double T,
+        const void* T,
-        double rho,
+        const void* rho,
         double tMax,
         double dt0,
-        double* Y_out,
+        void* Y_out,
-        double* energy_out,
+        void* energy_out,
-        double* dEps_dT,
+        void* dEps_dT,
-        double* dEps_dRho,
+        void* dEps_dRho,
-        double* specific_neutrino_energy_loss,
+        void* specific_neutrino_energy_loss,
-        double* specific_neutrino_flux,
+        void* specific_neutrino_flux,
-        double* mass_lost
+        void* mass_lost
     );
 
 #ifdef __cplusplus

src/extern/lib/gridfire_context.cpp

@@ -3,11 +3,10 @@
 #include "fourdst/atomic/species.h"
 
 #include "fourdst/composition/exceptions/exceptions_composition.h"
+#include "gridfire/exceptions/error_policy.h"
+#include "gridfire/utils/logging.h"
 
-void GridFireContext::init_species_map(const std::vector<std::string> &species_names) {
+void GFContext::init_species_map(const std::vector<std::string> &species_names) {
-    for (const auto& name: species_names) {
-        working_comp.registerSymbol(name);
-    }
     this->speciesList.clear();
     this->speciesList.reserve(species_names.size());
 
@@ -24,8 +23,9 @@ void GridFireContext::init_species_map(const std::vector<std::string> &species_n
 
 }
 
-void GridFireContext::init_engine_from_policy(const std::string &policy_name, const double *abundances, const size_t num_species) {
+void GFContext::init_engine_from_policy(const std::string &policy_name, const double *abundances, const size_t num_species) {
-    init_composition_from_abundance_vector(abundances, num_species);
+    const std::vector<double> Y_scratch(abundances, abundances + num_species);
+    fourdst::composition::Composition comp = init_composition_from_abundance_vector(Y_scratch, num_species);
 
     enum class EnginePolicy {
         MAIN_SEQUENCE_POLICY
@@ -47,71 +47,53 @@ void GridFireContext::init_engine_from_policy(const std::string &policy_name, co
 
     switch (engine_map.at(policy_name)) {
         case EnginePolicy::MAIN_SEQUENCE_POLICY: {
-            this->policy = std::make_unique<gridfire::policy::MainSequencePolicy>(this->working_comp);
+            this->policy = std::make_unique<gridfire::policy::MainSequencePolicy>(comp);
-            this->engine = &policy->construct();
+            const auto& [e, ctx] = policy->construct();
+            this->engine = &e;
+            this->engine_ctx = ctx->clone_structure();
+
             break;
         }
         default:
             throw gridfire::exceptions::PolicyError(
-                "Unhandled engine policy in GridFireContext::init_engine_from_policy"
+                "Unhandled engine policy in GFPointContext::init_engine_from_policy"
             );
     }
 
 
 }
 
-void GridFireContext::init_solver_from_engine(const std::string &solver_name) {
+fourdst::composition::Composition GFContext::init_composition_from_abundance_vector(const std::vector<double> &abundances, size_t num_species) const {
-    enum class SolverType {
-        CVODE
-    };
-
-    static const std::unordered_map<std::string, SolverType> solver_map = {
-        {"CVODE", SolverType::CVODE}
-    };
-
-    if (!solver_map.contains(solver_name)) {
-        throw gridfire::exceptions::SolverError(
-            std::format(
-                "Solver {} is not recognized. Valid solvers are: {}",
-                solver_name,
-                gridfire::utils::iterable_to_delimited_string(solver_map, ", ", [](const auto& pair){ return pair.first; })
-            )
-        );
-    }
-
-    switch (solver_map.at(solver_name)) {
-        case SolverType::CVODE: {
-            this->solver = std::make_unique<gridfire::solver::CVODESolverStrategy>(*this->engine);
-            break;
-        }
-        default:
-            throw gridfire::exceptions::SolverError(
-                "Unhandled solver type in GridFireContext::init_solver_from_engine"
-            );
-    }
-
-}
-
-void GridFireContext::init_composition_from_abundance_vector(const double *abundances, size_t num_species) {
     if (num_species == 0) {
         throw fourdst::composition::exceptions::InvalidCompositionError("Cannot initialize composition with zero species.");
     }
-    if (num_species != working_comp.size()) {
+    if (num_species != speciesList.size()) {
         throw fourdst::composition::exceptions::InvalidCompositionError(
             std::format(
                 "Number of species provided ({}) does not match the registered species count ({}).",
                 num_species,
-                working_comp.size()
+                speciesList.size()
             )
         );
     }
 
+    fourdst::composition::Composition comp;
     for (size_t i = 0; i < num_species; i++) {
-        this->working_comp.setMolarAbundance(this->speciesList[i], abundances[i]);
+        comp.registerSpecies(this->speciesList[i]);
+        comp.setMolarAbundance(this->speciesList[i], abundances[i]);
     }
+
+    return comp;
 }
 
-int GridFireContext::evolve(
+
+void GFPointContext::init_solver_from_engine() {
+    this->solver = std::make_unique<gridfire::solver::PointSolver>(*this->engine);
+    this->solver_ctx = std::make_unique<gridfire::solver::PointSolverContext>(*engine_ctx);
+}
+
+
+int GFPointContext::evolve(
     const double* Y_in,
     const size_t num_species,
     const double T,
@@ -125,17 +107,19 @@ int GridFireContext::evolve(
     double& specific_neutrino_energy_loss,
     double& specific_neutrino_flux,
     double& mass_lost
-) {
+) const {
-    init_composition_from_abundance_vector(Y_in, num_species);
+
+    const std::vector<double> Y_scratch(Y_in, Y_in + num_species);
+    const fourdst::composition::Composition comp = init_composition_from_abundance_vector(Y_scratch, num_species);
 
     gridfire::NetIn netIn;
     netIn.temperature = T;
     netIn.density = rho;
     netIn.dt0 = dt0;
     netIn.tMax = tMax;
-    netIn.composition = this->working_comp;
+    netIn.composition = comp;
 
-    const gridfire::NetOut result = this->solver->evaluate(netIn);
+    const gridfire::NetOut result = this->solver->evaluate(*solver_ctx, netIn);
 
     energy_out = result.energy;
     dEps_dT  = result.dEps_dT;
@@ -159,3 +143,99 @@ int GridFireContext::evolve(
 
     return 0;
 }
+
+void GFGridContext::init_solver_from_engine() {
+    this->local_solver = std::make_unique<gridfire::solver::PointSolver>(*this->engine);
+    this->solver = std::make_unique<gridfire::solver::GridSolver>(*this->engine, *this->local_solver);
+    this->solver_ctx = std::make_unique<gridfire::solver::GridSolverContext>(*engine_ctx);
+}
+
+int GFGridContext::evolve(
+    const double* Y_in,
+    size_t num_species,
+    const double *T,
+    const double *rho,
+    double tMax,
+    double dt0,
+    double *Y_out,
+    double *energy_out,
+    double *dEps_dT,
+    double *dEps_dRho,
+    double *specific_neutrino_energy_loss,
+    double *specific_neutrino_flux,
+    double *mass_lost
+) const {
+    if (this->get_zones() == 0) {
+        throw gridfire::exceptions::GridFireError("GFGridContext has zero zones configured for evolution.");
+    }
+
+    if (Y_in == nullptr || T == nullptr || rho == nullptr) {
+        throw gridfire::exceptions::GridFireError("Input abundance, temperature, or density pointers are null.");
+    }
+
+    if (Y_out == nullptr) {
+        throw gridfire::exceptions::GridFireError("Output abundance pointer is null.");
+    }
+
+    std::vector<fourdst::composition::Composition> zone_compositions;
+
+    zone_compositions.reserve(this->get_zones());
+
+    std::vector<double> Y_scratch;
+    Y_scratch.resize(num_species);
+
+    for (size_t i = 0; i < this->get_zones(); ++i) {
+        for (size_t j = 0; j < num_species; ++j) {
+            Y_scratch[j] = Y_in[i * num_species + j];
+        }
+        zone_compositions.push_back(init_composition_from_abundance_vector(Y_scratch, num_species));
+    }
+
+    std::vector<gridfire::NetIn> netIns;
+    netIns.reserve(this->get_zones());
+    for (size_t i = 0; i < this->get_zones(); ++i) {
+        gridfire::NetIn netIn;
+        netIn.temperature = T[i];
+        netIn.density = rho[i];
+        netIn.dt0 = dt0;
+        netIn.tMax = tMax;
+        netIn.composition = zone_compositions[i];
+        netIns.push_back(netIn);
+    }
+
+    std::vector<gridfire::NetOut> results = this->solver->evaluate(*this->solver_ctx, netIns);
+
+    for (size_t zone_idx = 0; zone_idx < this->get_zones(); ++zone_idx) {
+        const gridfire::NetOut& netOut = results[zone_idx];
+        energy_out[zone_idx] = netOut.energy;
+        dEps_dT[zone_idx] = netOut.dEps_dT;;
+        dEps_dRho[zone_idx] = netOut.dEps_dRho;
+        specific_neutrino_energy_loss[zone_idx] = netOut.specific_neutrino_energy_loss;
+        specific_neutrino_flux[zone_idx] = netOut.specific_neutrino_flux;
+
+        std::set<fourdst::atomic::Species> seen_species;
+        for (size_t i = 0; i < num_species; ++i) {
+            fourdst::atomic::Species species = this->speciesList[i];
+            Y_out[zone_idx * num_species + i] = netOut.composition.getMolarAbundance(species);
+            seen_species.insert(species);
+        }
+        mass_lost[zone_idx] = 0.0;
+        for (const auto& species : netOut.composition.getRegisteredSpecies()) {
+            if (!seen_species.contains(species)) {
+                mass_lost[zone_idx] += species.mass() * netOut.composition.getMolarAbundance(species);
+            }
+        }
+    }
+    return 0;
+}
+
+std::unique_ptr<GFContext> make_gf_context(const GFContextType &type) {
+    switch (type) {
+        case GFContextType::POINT:
+            return std::make_unique<GFPointContext>();
+        case GFContextType::GRID:
+            return std::make_unique<GFGridContext>();
+        default:
+            throw gridfire::exceptions::GridFireError("Unhandled GFContextType in make_gf_context");
+    }
+}

src/extern/lib/gridfire_extern.cpp

@@ -3,120 +3,18 @@
 #include "gridfire/extern/gridfire_context.h"
 #include "gridfire/extern/gridfire_extern.h"
 
-extern "C" {
+namespace {
-    void* gf_init() {
-        return new GridFireContext();
-    }
 
-    void gf_free(void* ctx) {
+    template<typename T>
-        delete static_cast<GridFireContext*>(ctx);
+    concept ErrorTrackable = requires(T a) {
-    }
+        { a.last_error } -> std::convertible_to<std::string>;
+    };
 
-    int gf_register_species(void* ptr, const int num_species, const char** species_names) {
+    template <ErrorTrackable Context, typename Func>
-        auto* ctx = static_cast<GridFireContext*>(ptr);
+    int execute_guarded(Context* ctx, Func&& action) {
         try {
-            std::vector<std::string> names;
+            const int result = action();
-            for(int i=0; i<num_species; ++i) {
-                names.emplace_back(species_names[i]);
-            }
-            ctx->init_species_map(names);
-            return FDSSE_SUCCESS;
-        } catch (const fourdst::composition::exceptions::UnknownSymbolError& e) {
-            ctx->last_error = e.what();
-            return FDSSE_UNKNOWN_SYMBOL_ERROR;
-        } catch (const fourdst::composition::exceptions::SpeciesError& e) {
-            ctx->last_error = e.what();
-            return FDSSE_SPECIES_ERROR;
-        } catch (const std::exception& e) {
-            ctx->last_error = e.what();
-            return FDSSE_NON_4DSTAR_ERROR;
-        } catch (...) {
-            ctx->last_error = "Unknown error occurred during species registration.";
-            return FDSSE_UNKNOWN_ERROR;
-        }
-    }
 
-    int gf_construct_engine_from_policy(
-        void* ptr,
-        const char* policy_name,
-        const double *abundances,
-        const size_t num_species
-    ) {
-        auto* ctx = static_cast<GridFireContext*>(ptr);
-        try {
-            ctx->init_engine_from_policy(std::string(policy_name), abundances, num_species);
-            return GF_SUCCESS;
-        } catch (const gridfire::exceptions::MissingBaseReactionError& e) {
-            ctx->last_error = e.what();
-            return GF_MISSING_BASE_REACTION_ERROR;
-        } catch (const gridfire::exceptions::MissingSeedSpeciesError& e) {
-            ctx->last_error = e.what();
-            return GF_MISSING_SEED_SPECIES_ERROR;
-        }  catch (const gridfire::exceptions::MissingKeyReactionError& e) {
-            ctx->last_error = e.what();
-            return GF_MISSING_KEY_REACTION_ERROR;
-        } catch (const gridfire::exceptions::PolicyError& e) {
-            ctx->last_error = e.what();
-            return GF_POLICY_ERROR;
-        } catch (std::exception& e) {
-            ctx->last_error = e.what();
-            return GF_NON_GRIDFIRE_ERROR;
-        } catch (...) {
-            ctx->last_error = "Unknown error occurred during engine construction.";
-            return GF_UNKNOWN_ERROR;
-        }
-    }
-
-    int gf_construct_solver_from_engine(
-        void* ptr,
-        const char* solver_name
-    ) {
-        auto* ctx = static_cast<GridFireContext*>(ptr);
-        try {
-            ctx->init_solver_from_engine(std::string(solver_name));
-            return GF_SUCCESS;
-        } catch (std::exception& e) {
-            ctx->last_error = e.what();
-            return GF_NON_GRIDFIRE_ERROR;
-        } catch (...) {
-            ctx->last_error = "Unknown error occurred during solver construction.";
-            return GF_UNKNOWN_ERROR;
-        }
-    }
-
-    int gf_evolve(
-        void* ptr,
-        const double* Y_in,
-        const size_t num_species,
-        const double T,
-        const double rho,
-        const double tMax,
-        const double dt0,
-        double* Y_out,
-        double* energy_out,
-        double* dEps_dT,
-        double* dEps_dRho,
-        double* specific_neutrino_energy_loss,
-        double* specific_neutrino_flux,
-        double* mass_lost
-    ) {
-        auto* ctx = static_cast<GridFireContext*>(ptr);
-        try {
-            const int result = ctx->evolve(
-                Y_in,
-                num_species,
-                T,
-                rho,
-                tMax,
-                dt0,
-                Y_out,
-                *energy_out,
-                *dEps_dT,
-                *dEps_dRho,
-                *specific_neutrino_energy_loss,
-                *specific_neutrino_flux,
-                *mass_lost
-            );
             if (result != 0) {
                 return result;
             }
@@ -211,8 +109,230 @@ extern "C" {
         }
     }
 
+}
+
+extern "C" {
+
+
+    void* gf_init(const enum GF_TYPE type) {
+        if (type == MULTI_ZONE) {
+            return new GFGridContext();
+        }
+        if (type == SINGLE_ZONE) {
+            return new GFPointContext();
+        }
+        return nullptr;
+    }
+
+    int gf_free(const enum GF_TYPE type, void *ctx) {
+        if (!ctx) {
+            return GF_UNINITIALIZED_INPUT_MEMORY_ERROR;
+        }
+        if (type == MULTI_ZONE) {
+            delete static_cast<GFGridContext*>(ctx);
+            return GF_SUCCESS;
+        }
+        if (type == SINGLE_ZONE) {
+            delete static_cast<GFPointContext*>(ctx);
+            return GF_SUCCESS;
+        }
+        return GF_UNKNOWN_FREE_TYPE;
+    }
+
+    int gf_set_num_zones(const enum GF_TYPE type, void* ptr, const size_t num_zones) {
+        if (type != MULTI_ZONE) {
+            return GF_INVALID_TYPE;
+        }
+
+        if (!ptr) {
+            return GF_UNINITIALIZED_INPUT_MEMORY_ERROR;
+        }
+
+        auto* ctx = static_cast<GFGridContext*>(ptr);
+        return execute_guarded(ctx, [&]() {
+            ctx->set_zones(num_zones);
+            return GF_SUCCESS;
+        });
+    }
+
+    int gf_register_species(void* ptr, const int num_species, const char** species_names) {
+        if (num_species < 0) return GF_INVALID_NUM_SPECIES;
+
+        if (num_species == 0) return GF_SUCCESS;
+
+        if (!ptr || !species_names) {
+            return GF_UNINITIALIZED_INPUT_MEMORY_ERROR;
+        }
+
+        for (int i=0; i < num_species; ++i) {
+            if (!species_names[i]) {
+                return GF_UNINITIALIZED_INPUT_MEMORY_ERROR;
+            }
+        }
+
+        auto* ctx = static_cast<GFContext*>(ptr);
+        return execute_guarded(ctx, [&]() {
+           std::vector<std::string> names;
+            for (int i=0; i<num_species; ++i) {
+                names.emplace_back(species_names[i]);
+            }
+            ctx->init_species_map(names);
+            return FDSSE_SUCCESS;
+        });
+    }
+
+    int gf_construct_engine_from_policy(
+        void* ptr,
+        const char* policy_name,
+        const double *abundances,
+        const size_t num_species
+    ) {
+        auto* ctx = static_cast<GFContext*>(ptr);
+        return execute_guarded(ctx, [&]() {
+            ctx->init_engine_from_policy(std::string(policy_name), abundances, num_species);
+            return GF_SUCCESS;
+        });
+    }
+
+    int gf_construct_solver_from_engine(
+        void* ptr
+    ) {
+        auto* ctx = static_cast<GFContext*>(ptr);
+        return execute_guarded(ctx, [&]() {
+            ctx->init_solver_from_engine();
+            return GF_SUCCESS;
+        });
+    }
+
+    int gf_evolve(
+        const enum GF_TYPE type,
+        void* ptr,
+        const void* Y_in,
+        const size_t num_species,
+        const void* T,
+        const void* rho,
+        const double tMax,
+        const double dt0,
+        void* Y_out,
+        void* energy_out,
+        void* dEps_dT,
+        void* dEps_dRho,
+        void* specific_neutrino_energy_loss,
+        void* specific_neutrino_flux,
+        void* mass_lost
+    ) {
+
+        printf("In C Starting gf_evolve with type %d\n", type);
+        printf("In C num_species: %zu, tMax: %e, dt0: %e\n", num_species, tMax, dt0);
+        printf("In C Y_in ptr: %p, T ptr: %p, rho ptr: %p\n", Y_in, T, rho);
+        // values
+        printf("In C Y_in first 5 values: ");
+        const auto* Y_in_ptr = static_cast<const double*>(Y_in);
+        for (size_t i = 0; i < std::min(num_species, size_t(5)); ++i) {
+            printf("%e ", Y_in_ptr[i]);
+        }
+        printf("\n");
+        printf("In C T value: %e\n", *(static_cast<const double*>(T)));
+        printf("In C rho value: %e\n", *(static_cast<const double*>(rho)));
+        printf("In C tMax value: %e\n", tMax);
+        printf("In C dt0 value: %e\n", dt0);
+
+        if (!ptr || !Y_in || !T || !rho) {
+            return GF_UNINITIALIZED_INPUT_MEMORY_ERROR;
+        }
+
+        if (!Y_out || !energy_out || !dEps_dT || !dEps_dRho || !specific_neutrino_energy_loss || !specific_neutrino_flux || !mass_lost) {
+            return GF_UNINITIALIZED_OUTPUT_MEMORY_ERROR;
+        }
+
+        if (tMax <= 0 || dt0 <= 0) {
+            return GF_INVALID_TIMESTEPS;
+        }
+
+        if (num_species <= 0) {
+            return GF_INVALID_NUM_SPECIES;
+        }
+
+        switch (type) {
+            case SINGLE_ZONE : {
+                auto* ctx = static_cast<GFPointContext*>(ptr);
+                const auto T_ptr = static_cast<const double*>(T);
+                const auto *rho_ptr = static_cast<const double*>(rho);
+
+                auto* Y_out_local = static_cast<double*>(Y_out);
+                auto* energy_out_local = static_cast<double*>(energy_out);
+                auto* dEps_dT_local = static_cast<double*>(dEps_dT);
+                auto* dEps_dRho_local = static_cast<double*>(dEps_dRho);
+                auto* specific_neutrino_energy_loss_local = static_cast<double*>(specific_neutrino_energy_loss);
+                auto* specific_neutrino_flux_local = static_cast<double*>(specific_neutrino_flux);
+                auto* mass_lost_local = static_cast<double*>(mass_lost);
+
+                printf("Evolving single zone with T = %e, rho = %e for tMax = %e and dt0 = %e\n", *T_ptr, *rho_ptr, tMax, dt0);
+
+                return execute_guarded(ctx, [&]() {
+                    return ctx->evolve(
+                        static_cast<const double*>(Y_in),
+                        num_species,
+                        *T_ptr,
+                        *rho_ptr,
+                        tMax,
+                        dt0,
+                        Y_out_local,
+                        *energy_out_local,
+                        *dEps_dT_local,
+                        *dEps_dRho_local,
+                        *specific_neutrino_energy_loss_local,
+                        *specific_neutrino_flux_local,
+                        *mass_lost_local
+                    );
+                });
+            }
+            case MULTI_ZONE : {
+                auto* ctx = static_cast<GFGridContext*>(ptr);
+                const auto *T_ptr = static_cast<const double*>(T);
+                const auto *rho_ptr = static_cast<const double*>(rho);
+
+                auto* Y_out_local = static_cast<double*>(Y_out);
+                auto* energy_out_local = static_cast<double*>(energy_out);
+                auto* dEps_dT_local = static_cast<double*>(dEps_dT);
+                auto* dEps_dRho_local = static_cast<double*>(dEps_dRho);
+                auto* specific_neutrino_energy_loss_local = static_cast<double*>(specific_neutrino_energy_loss);
+                auto* specific_neutrino_flux_local = static_cast<double*>(specific_neutrino_flux);
+                auto* mass_lost_local = static_cast<double*>(mass_lost);
+
+                printf("Evolving multi zone for tMax = %e and dt0 = %e\n", tMax, dt0);
+
+                return execute_guarded(ctx, [&]() {
+                    return ctx->evolve(
+                        static_cast<const double*>(Y_in),
+                        num_species,
+                        T_ptr, // T pointer
+                        rho_ptr, // rho pointer
+                        tMax,
+                        dt0,
+                        Y_out_local,
+                        energy_out_local,
+                        dEps_dT_local,
+                        dEps_dRho_local,
+                        specific_neutrino_energy_loss_local,
+                        specific_neutrino_flux_local,
+                        mass_lost_local
+                    );
+                });
+            }
+            default :
+                return GF_UNKNOWN_ERROR;
+        }
+
+
+
+    }
+
     char* gf_get_last_error_message(void* ptr) {
-        const auto* ctx = static_cast<GridFireContext*>(ptr);
+        if (!ptr) {
+            return const_cast<char*>("GF_UNINITIALIZED_INPUT_MEMORY_ERROR");
+        }
+        const auto* ctx = static_cast<GFContext*>(ptr);
         return const_cast<char*>(ctx->last_error.c_str());
     }
 
@@ -278,6 +398,18 @@ extern "C" {
                 return const_cast<char*>("GF_DEBUG_ERROR");
             case GF_GRIDFIRE_ERROR:
                 return const_cast<char*>("GF_GRIDFIRE_ERROR");
+            case GF_UNINITIALIZED_INPUT_MEMORY_ERROR:
+                return const_cast<char*>("GF_UNINITIALIZED_INPUT_MEMORY_ERROR");
+            case GF_UNINITIALIZED_OUTPUT_MEMORY_ERROR:
+                return const_cast<char*>("GF_UNINITIALIZED_OUTPUT_MEMORY_ERROR");
+            case GF_INVALID_NUM_SPECIES:
+                return const_cast<char*>("GF_INVALID_NUM_SPECIES");
+            case GF_INVALID_TIMESTEPS:
+                return const_cast<char*>("GF_INVALID_TIMESTEPS");
+            case GF_UNKNOWN_FREE_TYPE:
+                return const_cast<char*>("GF_UNKNOWN_FREE_TYPE");
+            case GF_INVALID_TYPE:
+                return const_cast<char*>("GF_INVALID_TYPE");
             case FDSSE_NON_4DSTAR_ERROR:
                 return const_cast<char*>("FDSSE_NON_4DSTAR_ERROR");
             case FDSSE_UNKNOWN_ERROR:

src/include/gridfire/config/config.h

@@ -8,27 +8,8 @@ namespace gridfire::config {
         double relTol = 1.0e-5;
     };
 
-
-    struct SpectralSolverConfig {
-        struct MonitorFunctionConfig {
-            double structure_weight = 1.0;
-            double abundance_weight = 10.0;
-            double alpha = 0.2;
-            double beta = 0.8;
-        };
-        struct BasisConfig {
-            size_t num_elements = 50;
-        };
-        double absTol = 1.0e-8;
-        double relTol = 1.0e-5;
-        size_t degree = 3;
-        MonitorFunctionConfig monitorFunction;
-        BasisConfig basis;
-    };
-
     struct SolverConfig {
         CVODESolverConfig cvode;
-        SpectralSolverConfig spectral;
     };
 
     struct AdaptiveEngineViewConfig {
@@ -50,5 +31,4 @@ namespace gridfire::config {
     };
 
 
-
 }

src/include/gridfire/engine/engine_graph.h

@@ -807,8 +807,6 @@ namespace gridfire::engine {
 
         CppAD::ADFun<double> m_authoritativeADFun;
 
-        const size_t m_state_blob_offset;
-
     private:
         /**
          * @brief Synchronizes the internal maps.

src/include/gridfire/engine/views/engine_defined.h

@@ -359,7 +359,6 @@ namespace gridfire::engine {
 
 
     private:
-        using LogManager = LogManager;
         Config<config::GridFireConfig> m_config;
 
         quill::Logger* m_logger = LogManager::getInstance().getLogger("log");

src/include/gridfire/policy/policy_abstract.h

@@ -25,6 +25,7 @@
 #include <set>
 
 #include "gridfire/engine/types/engine_types.h"
+#include "gridfire/engine/scratchpads/blob.h"
 
 
 namespace gridfire::policy {

src/include/gridfire/solver/strategies/GridSolver.h

@@ -0,0 +1,46 @@
+#pragma once
+
+#include "gridfire/solver/strategies/strategy_abstract.h"
+
+#include <functional>
+
+namespace gridfire::solver {
+    struct GridSolverContext final : SolverContextBase {
+        std::vector<std::unique_ptr<SolverContextBase>> solver_workspaces;
+        std::vector<std::function<void(const TimestepContextBase&)>> timestep_callbacks;
+        const engine::scratch::StateBlob& ctx_template;
+
+        bool zone_completion_logging = true;
+        bool zone_stdout_logging = false;
+        bool zone_detailed_logging = false;
+
+        void init() override;
+        void reset();
+
+        void set_callback(const std::function<void(const TimestepContextBase&)> &callback);
+        void set_callback(const std::function<void(const TimestepContextBase&)> &callback, size_t zone_idx);
+
+        void clear_callback();
+        void clear_callback(size_t zone_idx);
+
+        void set_stdout_logging(bool enable) override;
+        void set_detailed_logging(bool enable) override;
+
+        explicit GridSolverContext(const engine::scratch::StateBlob& ctx_template);
+    };
+
+    class GridSolver final : public MultiZoneDynamicNetworkSolver {
+    public:
+        GridSolver(
+            const engine::DynamicEngine& engine,
+            const SingleZoneDynamicNetworkSolver& solver
+        );
+
+        ~GridSolver() override = default;
+
+        std::vector<NetOut> evaluate(
+            SolverContextBase& ctx,
+            const std::vector<NetIn>& netIns
+        ) const override;
+    };
+}

src/include/gridfire/solver/strategies/PointSolver.h

@@ -44,8 +44,88 @@
 #endif
 
 namespace gridfire::solver {
+        struct PointSolverTimestepContext final : TimestepContextBase {
+            const double t;                 ///< Current integration time [s].
+            const N_Vector& state;          ///< Current CVODE state vector (N_Vector).
+            const double dt;                ///< Last step size [s].
+            const double last_step_time;    ///< Time at last callback [s].
+            const double T9;                ///< Temperature in GK.
+            const double rho;               ///< Density [g cm^-3].
+            const size_t num_steps;         ///< Number of CVODE steps taken so far.
+            const engine::DynamicEngine& engine;    ///< Reference to the engine.
+            const std::vector<fourdst::atomic::Species>& networkSpecies; ///< Species layout.
+            const size_t currentConvergenceFailures; ///< Total number of convergence failures
+            const size_t currentNonlinearIterations; ///< Total number of non-linear iterations
+            const std::map<fourdst::atomic::Species, std::unordered_map<std::string, double>>& reactionContributionMap; ///< Map of reaction contributions for the current step
+            engine::scratch::StateBlob& state_ctx; ///< Reference to the engine scratch state blob
+
+            PointSolverTimestepContext(
+                double t,
+                const N_Vector& state,
+                double dt,
+                double last_step_time,
+                double t9,
+                double rho,
+                size_t num_steps,
+                const engine::DynamicEngine& engine,
+                const std::vector<fourdst::atomic::Species>& networkSpecies,
+                size_t currentConvergenceFailure,
+                size_t currentNonlinearIterations,
+                const std::map<fourdst::atomic::Species, std::unordered_map<std::string, double>> &reactionContributionMap,
+                engine::scratch::StateBlob& state_ctx
+            );
+
+            [[nodiscard]] std::vector<std::tuple<std::string, std::string>> describe() const override;
+        };
+
+    using TimestepCallback = std::function<void(const PointSolverTimestepContext& context)>; ///< Type alias for a timestep callback function.
+
+    struct PointSolverContext final : SolverContextBase {
+        SUNContext sun_ctx = nullptr;   ///< SUNDIALS context (lifetime of the solver).
+        void* cvode_mem = nullptr;      ///< CVODE memory block.
+        N_Vector Y = nullptr;           ///< CVODE state vector (species + energy accumulator).
+        N_Vector YErr = nullptr;        ///< Estimated local errors.
+        SUNMatrix J = nullptr;          ///< Dense Jacobian matrix.
+        SUNLinearSolver LS = nullptr;   ///< Dense linear solver.
+
+        std::unique_ptr<engine::scratch::StateBlob> engine_ctx;
+
+
+        std::optional<TimestepCallback> callback;      ///< Optional per-step callback.
+        int num_steps = 0;              ///< CVODE step counter (used for diagnostics and triggers).
+
+        bool stdout_logging = true; ///< If true, print per-step logs and use CV_ONE_STEP.
+
+        N_Vector constraints = nullptr; ///< CVODE constraints vector (>= 0 for species entries).
+
+        std::optional<double> abs_tol;        ///< User-specified absolute tolerance.
+        std::optional<double> rel_tol;        ///< User-specified relative tolerance.
+
+        bool detailed_step_logging = false;    ///< If true, log detailed step diagnostics (error ratios, Jacobian, species balance).
+
+        size_t last_size = 0;
+        size_t last_composition_hash = 0ULL;
+        sunrealtype last_good_time_step = 0ULL;
+
+        void init() override;
+        void set_stdout_logging(bool enable) override;
+        void set_detailed_logging(bool enable) override;
+
+        void reset_all();
+        void reset_user();
+        void reset_cvode();
+        void clear_context();
+        void init_context();
+
+        [[nodiscard]] bool has_context() const;
+
+        explicit PointSolverContext(const engine::scratch::StateBlob& engine_ctx);
+        ~PointSolverContext() override;
+
+    };
+
     /**
-     * @class CVODESolverStrategy
+     * @class PointSolver
      * @brief Stiff ODE integrator backed by SUNDIALS CVODE (BDF) for network + energy.
      *
      * Integrates the nuclear network abundances along with a final accumulator entry for specific
@@ -78,27 +158,16 @@ namespace gridfire::solver {
      * std::cout << "Final energy: " << out.energy << " erg/g\n";
      * @endcode
      */
-    class CVODESolverStrategy final : public SingleZoneDynamicNetworkSolver {
+    class PointSolver final : public SingleZoneDynamicNetworkSolver {
     public:
         /**
          * @brief Construct the CVODE strategy and create a SUNDIALS context.
          * @param engine DynamicEngine used for RHS/Jacobian evaluation and network access.
          * @throws std::runtime_error If SUNContext_Create fails.
          */
-        explicit CVODESolverStrategy(
+        explicit PointSolver(
-            const engine::DynamicEngine& engine,
+            const engine::DynamicEngine& engine
-            const engine::scratch::StateBlob& ctx
         );
-        /**
-         * @brief Destructor: cleans CVODE/SUNDIALS resources and frees SUNContext.
-         */
-        ~CVODESolverStrategy() override;
-
-        // Make the class non-copyable and non-movable to prevent shallow copies of CVODE pointers
-        CVODESolverStrategy(const CVODESolverStrategy&) = delete;
-        CVODESolverStrategy& operator=(const CVODESolverStrategy&) = delete;
-        CVODESolverStrategy(CVODESolverStrategy&&) = delete;
-        CVODESolverStrategy& operator=(CVODESolverStrategy&&) = delete;
 
         /**
          * @brief Integrate from t=0 to netIn.tMax and return final composition and energy.
@@ -114,6 +183,7 @@ namespace gridfire::solver {
          *  - At the end, converts molar abundances to mass fractions and assembles NetOut,
          *    including derivatives of energy w.r.t. T and rho from the engine.
          *
+         * @param solver_ctx
          * @param netIn Inputs: temperature [K], density [g cm^-3], tMax [s], composition.
          * @return NetOut containing final Composition, accumulated energy [erg/g], step count,
          *         and dEps/dT, dEps/dRho.
@@ -122,10 +192,14 @@ namespace gridfire::solver {
          * @throws exceptions::StaleEngineTrigger Propagated if the engine signals a stale state
          *         during RHS evaluation (captured in the wrapper then rethrown here).
          */
-        NetOut evaluate(const NetIn& netIn) override;
+        NetOut evaluate(
+            SolverContextBase& solver_ctx,
+            const NetIn& netIn
+        ) const override;
 
         /**
          * @brief Call to evaluate which will let the user control if the trigger reasoning is displayed
+         * @param solver_ctx
          * @param netIn Inputs: temperature [K], density [g cm^-3], tMax [s], composition.
          * @param displayTrigger Boolean flag to control if trigger reasoning is displayed
          * @param forceReinitialize Boolean flag to force reinitialization of CVODE resources at the start
@@ -136,89 +210,13 @@ namespace gridfire::solver {
          * @throws exceptions::StaleEngineTrigger Propagated if the engine signals a stale state
          *         during RHS evaluation (captured in the wrapper then rethrown here).
          */
-        NetOut evaluate(const NetIn& netIn, bool displayTrigger, bool forceReinitialize = false);
+        NetOut evaluate(
+            SolverContextBase& solver_ctx,
+            const NetIn& netIn,
+            bool displayTrigger,
+            bool forceReinitialize = false
+        ) const;
 
-        /**
-         * @brief Install a timestep callback.
-         * @param callback std::any containing TimestepCallback (std::function<void(const TimestepContext&)>).
-         * @throws std::bad_any_cast If callback is not of the expected type.
-         */
-        void set_callback(const std::any &callback) override;
-
-        /**
-         * @brief Whether per-step logs are printed to stdout and CVode is stepped with CV_ONE_STEP.
-         */
-        [[nodiscard]] bool get_stdout_logging_enabled() const;
-
-        /**
-         * @brief Enable/disable per-step stdout logging.
-         * @param logging_enabled Flag to control if a timestep summary is written to standard output or not
-         */
-        void set_stdout_logging_enabled(bool logging_enabled);
-
-        void set_absTol(double absTol);
-        void set_relTol(double relTol);
-
-        double get_absTol() const;
-        double get_relTol() const;
-
-        /**
-         * @brief Schema of fields exposed to the timestep callback context.
-         */
-        [[nodiscard]] std::vector<std::tuple<std::string, std::string>> describe_callback_context() const override;
-
-        /**
-         * @struct TimestepContext
-         * @brief Immutable view of the current integration state passed to callbacks.
-         *
-         * Fields capture CVODE time/state, step size, thermodynamic state, the engine reference,
-         * and the list of network species used to interpret the state vector layout.
-         */
-        struct TimestepContext final : public SolverContextBase {
-            // This struct can be identical to the one in DirectNetworkSolver
-            const double t;                 ///< Current integration time [s].
-            const N_Vector& state;          ///< Current CVODE state vector (N_Vector).
-            const double dt;                ///< Last step size [s].
-            const double last_step_time;    ///< Time at last callback [s].
-            const double T9;                ///< Temperature in GK.
-            const double rho;               ///< Density [g cm^-3].
-            const size_t num_steps;         ///< Number of CVODE steps taken so far.
-            const engine::DynamicEngine& engine;    ///< Reference to the engine.
-            const std::vector<fourdst::atomic::Species>& networkSpecies; ///< Species layout.
-            const size_t currentConvergenceFailures; ///< Total number of convergence failures
-            const size_t currentNonlinearIterations; ///< Total number of non-linear iterations
-            const std::map<fourdst::atomic::Species, std::unordered_map<std::string, double>>& reactionContributionMap; ///< Map of reaction contributions for the current step
-            engine::scratch::StateBlob& state_ctx; ///< Reference to the engine scratch state blob
-
-            /**
-             * @brief Construct a context snapshot.
-             */
-            TimestepContext(
-                double t,
-                const N_Vector& state,
-                double dt,
-                double last_step_time,
-                double t9,
-                double rho,
-                size_t num_steps,
-                const engine::DynamicEngine& engine,
-                const std::vector<fourdst::atomic::Species>& networkSpecies,
-                size_t currentConvergenceFailure,
-                size_t currentNonlinearIterations,
-                const std::map<fourdst::atomic::Species, std::unordered_map<std::string, double>> &reactionContributionMap,
-                engine::scratch::StateBlob& state_ctx
-            );
-
-            /**
-             * @brief Human-readable description of the context fields.
-             */
-            [[nodiscard]] std::vector<std::tuple<std::string, std::string>> describe() const override;
-        };
-
-        /**
-         * @brief Type alias for a timestep callback.
-         */
-        using TimestepCallback = std::function<void(const TimestepContext& context)>; ///< Type alias for a timestep callback function.
     private:
         /**
          * @struct CVODEUserData
@@ -230,7 +228,8 @@ namespace gridfire::solver {
          * to CVODE, then the driver loop inspects and rethrows.
          */
         struct CVODEUserData {
-            CVODESolverStrategy* solver_instance{}; // Pointer back to the class instance
+            const PointSolver* solver_instance{}; // Pointer back to the class instance
+            PointSolverContext* sctx;    // Pointer to the solver context
             engine::scratch::StateBlob& ctx;
             const engine::DynamicEngine* engine{};
             double T9{};
@@ -283,6 +282,7 @@ namespace gridfire::solver {
          * step size, creates a dense matrix and dense linear solver, and registers the Jacobian.
          */
         void initialize_cvode_integration_resources(
+            PointSolverContext* ctx,
             uint64_t N,
             size_t numSpecies,
             double current_time,
@@ -290,15 +290,7 @@ namespace gridfire::solver {
             double absTol,
             double relTol,
             double accumulatedEnergy
-        );
+        ) const;
-
-        /**
-         * @brief Destroy CVODE vectors/linear algebra and optionally the CVODE memory block.
-         * @param memFree If true, also calls CVodeFree on m_cvode_mem.
-         */
-        void cleanup_cvode_resources(bool memFree);
-
-        void set_detailed_step_logging(bool enabled);
 
 
         /**
@@ -308,31 +300,13 @@ namespace gridfire::solver {
          * sorted table of species with the highest error ratios; then invokes diagnostic routines to
          * inspect Jacobian stiffness and species balance.
          */
-        void log_step_diagnostics(engine::scratch::StateBlob &ctx, const CVODEUserData& user_data, bool displayJacobianStiffness, bool
+        void log_step_diagnostics(
-                                  displaySpeciesBalance, bool to_file, std::optional<std::string> filename) const;
+            PointSolverContext* sctx_p,
-    private:
+            engine::scratch::StateBlob &ctx,
-        SUNContext m_sun_ctx = nullptr;   ///< SUNDIALS context (lifetime of the solver).
+            const CVODEUserData& user_data,
-        void* m_cvode_mem = nullptr;      ///< CVODE memory block.
+            bool displayJacobianStiffness,
-        N_Vector m_Y = nullptr;           ///< CVODE state vector (species + energy accumulator).
+            bool displaySpeciesBalance,
-        N_Vector m_YErr = nullptr;        ///< Estimated local errors.
+            bool to_file, std::optional<std::string> filename
-        SUNMatrix m_J = nullptr;          ///< Dense Jacobian matrix.
+        ) const;
-        SUNLinearSolver m_LS = nullptr;   ///< Dense linear solver.
-
-
-        std::optional<TimestepCallback> m_callback;      ///< Optional per-step callback.
-        int m_num_steps = 0;              ///< CVODE step counter (used for diagnostics and triggers).
-
-        bool m_stdout_logging_enabled = true; ///< If true, print per-step logs and use CV_ONE_STEP.
-
-        N_Vector m_constraints = nullptr; ///< CVODE constraints vector (>= 0 for species entries).
-
-        std::optional<double> m_absTol;        ///< User-specified absolute tolerance.
-        std::optional<double> m_relTol;        ///< User-specified relative tolerance.
-
-        bool m_detailed_step_logging = false;    ///< If true, log detailed step diagnostics (error ratios, Jacobian, species balance).
-
-        mutable size_t m_last_size = 0;
-        mutable size_t m_last_composition_hash = 0ULL;
-        mutable sunrealtype m_last_good_time_step = 0ULL;
     };
 }

src/include/gridfire/solver/strategies/SpectralSolverStrategy.h

@@ -1,196 +0,0 @@
-#pragma once
-
-#include "gridfire/solver/strategies/strategy_abstract.h"
-#include "gridfire/engine/engine_abstract.h"
-#include "gridfire/types/types.h"
-#include "gridfire/config/config.h"
-
-#include "fourdst/logging/logging.h"
-#include "fourdst/constants/const.h"
-
-#include <vector>
-#include <cvode/cvode.h>
-#include <sundials/sundials_types.h>
-
-#ifdef SUNDIALS_HAVE_OPENMP
-    #include <nvector/nvector_openmp.h>
-#endif
-#ifdef SUNDIALS_HAVE_PTHREADS
-    #include <nvector/nvector_pthreads.hh>
-#endif
-#ifndef SUNDIALS_HAVE_OPENMP
-    #ifndef SUNDIALS_HAVE_PTHREADS
-        #include <nvector/nvector_serial.h>
-    #endif
-#endif
-
-namespace gridfire::solver {
-    class SpectralSolverStrategy final : public MultiZoneDynamicNetworkSolverStrategy {
-    public:
-        explicit SpectralSolverStrategy(engine::DynamicEngine& engine);
-        ~SpectralSolverStrategy() override;
-
-        std::vector<NetOut> evaluate(
-            const std::vector<NetIn> &netIns,
-            const std::vector<double>& mass_coords
-        ) override;
-
-        void set_callback(const std::any &callback) override;
-        [[nodiscard]] std::vector<std::tuple<std::string, std::string>> describe_callback_context() const override;
-
-        [[nodiscard]] bool get_stdout_logging_enabled() const;
-        void set_stdout_logging_enabled(bool logging_enabled);
-
-    public:
-        struct TimestepContext final : public SolverContextBase {
-            TimestepContext(
-                const double t,
-                const N_Vector &state,
-                const double dt,
-                const double last_time_step,
-                const engine::DynamicEngine &engine
-            ) :
-            t(t),
-            state(state),
-            dt(dt),
-            last_time_step(last_time_step),
-            engine(engine) {}
-
-            [[nodiscard]] std::vector<std::tuple<std::string, std::string>> describe() const override;
-
-            const double t;
-            const N_Vector& state;
-            const double dt;
-            const double last_time_step;
-            const engine::DynamicEngine& engine;
-        };
-
-        struct BasisEval {
-            size_t start_idx;
-            std::vector<double> phi;
-        };
-
-        struct SplineBasis {
-            std::vector<double> knots;
-            std::vector<double> quadrature_nodes;
-            std::vector<double> quadrature_weights;
-            int degree = 3;
-
-
-            std::vector<BasisEval> quad_evals;
-        };
-    public:
-        using TimestepCallback = std::function<void(const TimestepContext&)>;
-    private:
-
-        struct SpectralCoefficients {
-            size_t num_sets;
-            size_t num_coefficients;
-            std::vector<double> coefficients;
-
-            double operator()(size_t i, size_t j) const;
-        };
-
-        struct GridPoint {
-            double T9;
-            double rho;
-            fourdst::composition::Composition composition;
-        };
-
-        struct Constants {
-            const double c = fourdst::constant::Constants::getInstance().get("c").value;
-            const double N_a = fourdst::constant::Constants::getInstance().get("N_a").value;
-            const double c2 = c * c;
-        };
-
-        struct DenseLinearSolver {
-            SUNMatrix A;
-            SUNLinearSolver LS;
-            N_Vector temp_vector;
-            SUNContext ctx;
-
-            DenseLinearSolver(size_t size, SUNContext sun_ctx);
-            ~DenseLinearSolver();
-
-            DenseLinearSolver(const DenseLinearSolver&) = delete;
-            DenseLinearSolver& operator=(const DenseLinearSolver&) = delete;
-
-            void setup() const;
-            void zero() const;
-
-            void init_from_cache(size_t num_basis_funcs, const std::vector<BasisEval>& shell_cache) const;
-            void init_from_basis(size_t num_basis_funcs, const SplineBasis& basis) const;
-
-            void solve_inplace(N_Vector x, size_t num_vars, size_t basis_size) const;
-        };
-
-        struct CVODEUserData {
-            SpectralSolverStrategy* solver_instance{};
-            engine::DynamicEngine* engine;
-
-            DenseLinearSolver* mass_matrix_solver_instance;
-            const SplineBasis* basis;
-        };
-
-    private:
-        fourdst::config::Config<config::GridFireConfig> m_config;
-        quill::Logger* m_logger = fourdst::logging::LogManager::getInstance().getLogger("log");
-
-        SUNContext m_sun_ctx = nullptr;   ///< SUNDIALS context (lifetime of the solver).
-        void* m_cvode_mem = nullptr;      ///< CVODE memory block.
-        N_Vector m_Y = nullptr;           ///< CVODE state vector (species + energy accumulator).
-        SUNMatrix m_J = nullptr;          ///< Dense Jacobian matrix.
-        SUNLinearSolver m_LS = nullptr;   ///< Dense linear solver.
-
-
-        std::optional<TimestepCallback> m_callback;      ///< Optional per-step callback.
-        int m_num_steps = 0;              ///< CVODE step counter (used for diagnostics and triggers).
-
-        bool m_stdout_logging_enabled = true; ///< If true, print per-step logs and use CV_ONE_STEP.
-
-        N_Vector m_constraints = nullptr; ///< CVODE constraints vector (>= 0 for species entries).
-
-        std::optional<double> m_absTol;        ///< User-specified absolute tolerance.
-        std::optional<double> m_relTol;        ///< User-specified relative tolerance.
-
-        bool m_detailed_step_logging = false;    ///< If true, log detailed step diagnostics (error ratios, Jacobian, species balance).
-
-        mutable size_t m_last_size = 0;
-        mutable size_t m_last_composition_hash = 0ULL;
-        mutable sunrealtype m_last_good_time_step = 0ULL;
-
-        SplineBasis m_current_basis;
-
-        Constants m_constants;
-
-        N_Vector m_T_coeffs = nullptr;
-        N_Vector m_rho_coeffs = nullptr;
-
-
-    private:
-        std::vector<double> evaluate_monitor_function(const std::vector<NetIn>& current_shells) const;
-        SplineBasis generate_basis_from_monitor(const std::vector<double>& monitor_values, const std::vector<double>& mass_coordinates) const;
-
-        GridPoint reconstruct_at_quadrature(const N_Vector y_coeffs, size_t quad_index, const SplineBasis &basis) const;
-
-        std::vector<NetOut> reconstruct_solution(const std::vector<NetIn>& original_inputs, const std::vector<double>& mass_coordinates, const N_Vector final_coeffs, const SplineBasis& basis, double dt) const;
-
-        static int cvode_rhs_wrapper(sunrealtype t, N_Vector y, N_Vector, void* user_data);
-        static int cvode_jac_wrapper(sunrealtype t, N_Vector y, N_Vector ydot, SUNMatrix J, void* user_data, N_Vector tmp1, N_Vector tmp2, N_Vector tmp3);
-
-        int calculate_rhs(sunrealtype t, N_Vector y_coeffs, N_Vector ydot_coeffs, CVODEUserData* data) const;
-
-        static void project_specific_variable(
-            const std::vector<NetIn>& current_shells,
-            const std::vector<double>& mass_coordinates,
-            const std::vector<BasisEval>& shell_cache,
-            const DenseLinearSolver& linear_solver,
-            N_Vector output_vec,
-            size_t output_offset,
-            const std::function<double(const NetIn&)> &getter,
-            bool use_log
-        );
-
-    };
-
-}

src/include/gridfire/solver/strategies/strategies.h

@@ -2,5 +2,5 @@
 
 #include "gridfire/solver/strategies/triggers/triggers.h"
 #include "gridfire/solver/strategies/strategy_abstract.h"
-#include "gridfire/solver/strategies/CVODE_solver_strategy.h"
+#include "gridfire/solver/strategies/PointSolver.h"
-#include "gridfire/solver/strategies/SpectralSolverStrategy.h"
+#include "gridfire/solver/strategies/GridSolver.h"

src/include/gridfire/solver/strategies/strategy_abstract.h

@@ -13,17 +13,24 @@ namespace gridfire::solver {
     template <typename EngineT>
     concept IsEngine = std::is_base_of_v<engine::Engine, EngineT>;
 
+    struct SolverContextBase {
+        virtual void init() = 0;
+        virtual void set_stdout_logging(bool enable) = 0;
+        virtual void set_detailed_logging(bool enable) = 0;
+        virtual ~SolverContextBase() = default;
+    };
+
     /**
-     * @struct SolverContextBase
+     * @struct TimestepContextBase
      * @brief Base class for solver callback contexts.
      *
      * This struct serves as a base class for contexts that can be passed to solver callbacks, it enforces
      * that derived classes implement a `describe` method that returns a vector of tuples describing
      * the context that a callback will receive when called.
      */
-    class SolverContextBase {
+    class TimestepContextBase {
     public:
-        virtual ~SolverContextBase() = default;
+        virtual ~TimestepContextBase() = default;
 
         /**
          * @brief Describe the context for callback functions.
@@ -54,11 +61,9 @@ namespace gridfire::solver {
          * @param engine The engine to use for evaluating the network.
          */
         explicit SingleZoneNetworkSolver(
-            const EngineT& engine,
+            const EngineT& engine
-            const engine::scratch::StateBlob& ctx
         ) :
-        m_engine(engine),
+        m_engine(engine) {};
-        m_scratch_blob(ctx.clone_structure()) {};
 
         /**
          * @brief Virtual destructor.
@@ -67,38 +72,18 @@ namespace gridfire::solver {
 
         /**
          * @brief Evaluates the network for a given timestep.
+         * @param solver_ctx
+         * @param engine_ctx
          * @param netIn The input conditions for the network.
          * @return The output conditions after the timestep.
          */
-        virtual NetOut evaluate(const NetIn& netIn) = 0;
+        virtual NetOut evaluate(
+            SolverContextBase& solver_ctx,
+            const NetIn& netIn
+        ) const = 0;
 
-        /**
-         * @brief set the callback function to be called at the end of each timestep.
-         *
-         * This function allows the user to set a callback function that will be called at the end of each timestep.
-         * The callback function will receive a gridfire::solver::<SOMESOLVER>::TimestepContext object. Note that
-         * depending on the solver, this context may contain different information. Further, the exact
-         * signature of the callback function is left up to each solver. Every solver should provide a type or type alias
-         * TimestepCallback that defines the signature of the callback function so that the user can easily
-         * get that type information.
-         *
-         * @param callback The callback function to be called at the end of each timestep.
-         */
-        virtual void set_callback(const std::any& callback) = 0;
-
-        /**
-         * @brief Describe the context that will be passed to the callback function.
-         * @return A vector of tuples, each containing a string for the parameter's name and a string for its type.
-         *
-         * This method should be overridden by derived classes to provide a description of the context
-         * that will be passed to the callback function. The intent of this method is that an end user can investigate
-         * the context that will be passed to the callback function, and use this information to craft their own
-         * callback function.
-         */
-        [[nodiscard]] virtual std::vector<std::tuple<std::string, std::string>> describe_callback_context() const = 0;
     protected:
         const EngineT& m_engine; ///< The engine used by this solver strategy.
-        std::unique_ptr<engine::scratch::StateBlob> m_scratch_blob;
     };
 
     template <IsEngine EngineT>
@@ -106,22 +91,20 @@ namespace gridfire::solver {
     public:
         explicit MultiZoneNetworkSolver(
             const EngineT& engine,
-            const engine::scratch::StateBlob& ctx
+            const SingleZoneNetworkSolver<EngineT>& solver
         ) :
         m_engine(engine),
-        m_scratch_blob_structure(ctx.clone_structure()){};
+        m_solver(solver) {};
 
         virtual ~MultiZoneNetworkSolver() = default;
 
         virtual std::vector<NetOut> evaluate(
-            const std::vector<NetIn>& netIns,
+            SolverContextBase& solver_ctx,
-            const std::vector<double>& mass_coords
+            const std::vector<NetIn>& netIns
-        ) = 0;
+        ) const = 0;
-        virtual void set_callback(const std::any& callback) = 0;
-        [[nodiscard]] virtual std::vector<std::tuple<std::string, std::string>> describe_callback_context() const = 0;
     protected:
         const EngineT& m_engine; ///< The engine used by this solver strategy.
-        std::unique_ptr<engine::scratch::StateBlob> m_scratch_blob_structure;
+        const SingleZoneNetworkSolver<EngineT>& m_solver;
     };
 
     /**

src/include/gridfire/solver/strategies/triggers/engine_partitioning_trigger.h

@@ -2,7 +2,7 @@
 
 #include "gridfire/trigger/trigger_abstract.h"
 #include "gridfire/trigger/trigger_result.h"
-#include "gridfire/solver/strategies/CVODE_solver_strategy.h"
+#include "gridfire/solver/strategies/PointSolver.h"
 #include "fourdst/logging/logging.h"
 
 #include <string>
@@ -47,7 +47,7 @@ namespace gridfire::trigger::solver::CVODE {
      *
      * See also: engine_partitioning_trigger.cpp for the concrete logic and logging.
      */
-    class SimulationTimeTrigger final : public Trigger<gridfire::solver::CVODESolverStrategy::TimestepContext> {
+    class SimulationTimeTrigger final : public Trigger<gridfire::solver::PointSolverTimestepContext> {
     public:
         /**
          * @brief Construct with a positive time interval between firings.
@@ -62,7 +62,7 @@ namespace gridfire::trigger::solver::CVODE {
          *
          * @post increments hit/miss counters and may emit trace logs.
          */
-        bool check(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const override;
+        bool check(const gridfire::solver::PointSolverTimestepContext &ctx) const override;
         /**
          * @brief Update internal state; if check(ctx) is true, advance last_trigger_time.
          * @param ctx CVODE timestep context.
@@ -70,9 +70,9 @@ namespace gridfire::trigger::solver::CVODE {
          * @note update() calls check(ctx) and, on success, records the overshoot delta
          * (ctx.t - last_trigger_time) - interval for diagnostics.
          */
-        void update(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) override;
+        void update(const gridfire::solver::PointSolverTimestepContext &ctx) override;
 
-        void step(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) override;
+        void step(const gridfire::solver::PointSolverTimestepContext &ctx) override;
         /**
          * @brief Reset counters and last trigger bookkeeping (time and delta) to zero.
          */
@@ -85,7 +85,7 @@ namespace gridfire::trigger::solver::CVODE {
          * @param ctx CVODE timestep context.
          * @return TriggerResult including name, value, and description.
          */
-        TriggerResult why(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const override;
+        TriggerResult why(const gridfire::solver::PointSolverTimestepContext &ctx) const override;
         /** @brief Textual description including configured interval. */
         std::string describe() const override;
         /** @brief Number of true evaluations since last reset. */
@@ -130,7 +130,7 @@ namespace gridfire::trigger::solver::CVODE {
      * @par See also
      *  - engine_partitioning_trigger.cpp for concrete logic and trace logging.
      */
-    class OffDiagonalTrigger final : public Trigger<gridfire::solver::CVODESolverStrategy::TimestepContext> {
+    class OffDiagonalTrigger final : public Trigger<gridfire::solver::PointSolverTimestepContext> {
     public:
         /**
          * @brief Construct with a non-negative magnitude threshold.
@@ -145,13 +145,13 @@ namespace gridfire::trigger::solver::CVODE {
          *
          * @post increments hit/miss counters and may emit trace logs.
          */
-        bool check(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const override;
+        bool check(const gridfire::solver::PointSolverTimestepContext &ctx) const override;
         /**
          * @brief Record an update; does not mutate any Jacobian-related state.
          * @param ctx CVODE timestep context (unused except for symmetry with interface).
          */
-        void update(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) override;
+        void update(const gridfire::solver::PointSolverTimestepContext &ctx) override;
-        void step(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) override;
+        void step(const gridfire::solver::PointSolverTimestepContext &ctx) override;
         /** @brief Reset counters to zero. */
         void reset() override;
 
@@ -161,7 +161,7 @@ namespace gridfire::trigger::solver::CVODE {
          * @brief Structured explanation of the evaluation outcome.
          * @param ctx CVODE timestep context.
          */
-        TriggerResult why(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const override;
+        TriggerResult why(const gridfire::solver::PointSolverTimestepContext &ctx) const override;
         /** @brief Textual description including configured threshold. */
         std::string describe() const override;
         /** @brief Number of true evaluations since last reset. */
@@ -206,7 +206,7 @@ namespace gridfire::trigger::solver::CVODE {
      *
      * See also: engine_partitioning_trigger.cpp for exact logic and logging.
      */
-    class TimestepCollapseTrigger final : public Trigger<gridfire::solver::CVODESolverStrategy::TimestepContext> {
+    class TimestepCollapseTrigger final : public Trigger<gridfire::solver::PointSolverTimestepContext> {
     public:
         /**
          * @brief Construct with threshold and relative/absolute mode; window size defaults to 1.
@@ -230,20 +230,20 @@ namespace gridfire::trigger::solver::CVODE {
          *
          * @post increments hit/miss counters and may emit trace logs.
          */
-        bool check(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const override;
+        bool check(const gridfire::solver::PointSolverTimestepContext &ctx) const override;
         /**
          * @brief Update sliding window with the most recent dt and increment update counter.
          * @param ctx CVODE timestep context.
          */
-        void update(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) override;
+        void update(const gridfire::solver::PointSolverTimestepContext &ctx) override;
-        void step(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) override;
+        void step(const gridfire::solver::PointSolverTimestepContext &ctx) override;
         /** @brief Reset counters and clear the dt window. */
         void reset() override;
 
         /** @brief Stable human-readable name. */
         std::string name() const override;
         /** @brief Structured explanation of the evaluation outcome. */
-        TriggerResult why(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const override;
+        TriggerResult why(const gridfire::solver::PointSolverTimestepContext &ctx) const override;
         /** @brief Textual description including threshold, mode, and window size. */
         std::string describe() const override;
         /** @brief Number of true evaluations since last reset. */
@@ -272,15 +272,15 @@ namespace gridfire::trigger::solver::CVODE {
         std::deque<double> m_timestep_window;
     };
 
-    class ConvergenceFailureTrigger final : public Trigger<gridfire::solver::CVODESolverStrategy::TimestepContext> {
+    class ConvergenceFailureTrigger final : public Trigger<gridfire::solver::PointSolverTimestepContext> {
     public:
         explicit ConvergenceFailureTrigger(size_t totalFailures, float relativeFailureRate, size_t windowSize);
 
-        bool check(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const override;
+        bool check(const gridfire::solver::PointSolverTimestepContext &ctx) const override;
 
-        void update(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) override;
+        void update(const gridfire::solver::PointSolverTimestepContext &ctx) override;
 
-        void step(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) override;
+        void step(const gridfire::solver::PointSolverTimestepContext &ctx) override;
 
         void reset() override;
 
@@ -288,7 +288,7 @@ namespace gridfire::trigger::solver::CVODE {
 
         [[nodiscard]] std::string describe() const override;
 
-        [[nodiscard]] TriggerResult why(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const override;
+        [[nodiscard]] TriggerResult why(const gridfire::solver::PointSolverTimestepContext &ctx) const override;
 
         [[nodiscard]] size_t numTriggers() const override;
 
@@ -312,8 +312,8 @@ namespace gridfire::trigger::solver::CVODE {
 
     private:
         float current_mean() const;
-        bool abs_failure(const gridfire::solver::CVODESolverStrategy::TimestepContext& ctx) const;
+        bool abs_failure(const gridfire::solver::PointSolverTimestepContext& ctx) const;
-        bool rel_failure(const gridfire::solver::CVODESolverStrategy::TimestepContext& ctx) const;
+        bool rel_failure(const gridfire::solver::PointSolverTimestepContext& ctx) const;
     };
 
     /**
@@ -337,10 +337,10 @@ namespace gridfire::trigger::solver::CVODE {
      *
      * @note The exact policy is subject to change; this function centralizes that decision.
      */
-    std::unique_ptr<Trigger<gridfire::solver::CVODESolverStrategy::TimestepContext>> makeEnginePartitioningTrigger(
+    std::unique_ptr<Trigger<gridfire::solver::PointSolverTimestepContext>> makeEnginePartitioningTrigger(
-        const double simulationTimeInterval,
+        double simulationTimeInterval,
-        const double offDiagonalThreshold,
+        double offDiagonalThreshold,
-        const double timestepCollapseRatio,
+        double timestepCollapseRatio,
-        const size_t maxConvergenceFailures
+        size_t maxConvergenceFailures
     );
 }

src/include/gridfire/types/types.h

@@ -59,3 +59,26 @@ namespace gridfire {
     concept IsArithmeticOrAD = std::is_same_v<T, double> || std::is_same_v<T, CppAD::AD<double>>;
 
 } // namespace nuclearNetwork
+
+template<>
+struct std::formatter<gridfire::NetIn> : std::formatter<std::string> {
+    auto format(const gridfire::NetIn& netIn, auto& ctx) {
+        std::string output = "NetIn(, tMax=" + std::to_string(netIn.tMax) +
+                             ", dt0=" + std::to_string(netIn.dt0) +
+                             ", temperature=" + std::to_string(netIn.temperature) +
+                             ", density=" + std::to_string(netIn.density) +
+                             ", energy=" + std::to_string(netIn.energy) + ")";
+        return std::formatter<std::string>::format(output, ctx);
+    }
+};
+
+template <>
+struct std::formatter<gridfire::NetOut> : std::formatter<std::string> {
+    auto format(const gridfire::NetOut& netOut, auto& ctx) {
+        std::string output = "NetOut(, num_steps=" + std::to_string(netOut.num_steps) +
+                             ", energy=" + std::to_string(netOut.energy) +
+                             ", dEps_dT=" + std::to_string(netOut.dEps_dT) +
+                             ", dEps_dRho=" + std::to_string(netOut.dEps_dRho) + ")";
+        return std::formatter<std::string>::format(output, ctx);
+    }
+};

src/include/gridfire/utils/gf_omp.h

@@ -0,0 +1,51 @@
+#pragma once
+#include "fourdst/logging/logging.h"
+#include "quill/LogMacros.h"
+
+#if defined(GF_USE_OPENMP)
+
+#include <omp.h>
+
+namespace gridfire::omp {
+    static bool s_par_mode_initialized = false;
+
+    inline unsigned long get_thread_id() {
+        return static_cast<unsigned long>(omp_get_thread_num());
+    }
+
+    inline bool in_parallel() {
+        return omp_in_parallel() != 0;
+    }
+
+    inline void init_parallel_mode() {
+        if (s_par_mode_initialized) {
+            return; // Only initialize once
+        }
+        quill::Logger* logger = fourdst::logging::LogManager::getInstance().getLogger("log");
+        LOG_INFO(logger, "Initializing OpenMP parallel mode with {} threads", static_cast<unsigned long>(omp_get_max_threads()));
+        CppAD::thread_alloc::parallel_setup(
+            static_cast<size_t>(omp_get_max_threads()), // Max threads
+            []() -> bool { return in_parallel(); },                              // Function to get thread ID
+            []() -> size_t { return get_thread_id(); }                                 // Function to check parallel state
+        );
+
+        CppAD::thread_alloc::hold_memory(true);
+        CppAD::CheckSimpleVector<double, std::vector<double>>(0, 1);
+        s_par_mode_initialized = true;
+    }
+}
+
+#define GF_PAR_INIT() gridfire::omp::init_parallel_mode();
+
+#else
+
+namespace gridfire::omp {
+    inline void log_not_in_parallel_mode() {
+        quill::Logger* logger = fourdst::logging::LogManager::getInstance().getLogger("log");
+        LOG_INFO(logger, "This is not an error! Note: OpenMP parallel mode is not enabled. GF_USE_OPENMP is not defined. Pass -DGF_USE_OPENMP when compiling to enable OpenMP support. When using meson use the option -Dopenmp_support=true");
+    }
+}
+
+#define GF_PAR_INIT() gridfire::omp::log_not_in_parallel_mode();
+
+#endif

src/include/gridfire/utils/macros.h

@@ -0,0 +1,13 @@
+#pragma once
+
+
+#if defined(GF_USE_OPENMP)
+    #define GF_OMP_PRAGMA(x) _Pragma(#x)
+    #define GF_OMP(omp_args, extra) GF_OMP_PRAGMA(omp omp_args) extra
+    #define GF_OMP_MAX_THREADS omp_get_max_threads()
+    #define GF_OMP_THREAD_NUM omp_get_thread_num()
+#else
+    #define GF_OMP(_,fallback_args) fallback_args
+    #define GF_OMP_MAX_THREADS 1
+    #define GF_OMP_THREAD_NUM 0
+#endif

src/include/gridfire/utils/utils.h

@@ -5,3 +5,4 @@
 #include "gridfire/utils/logging.h"
 #include "gridfire/utils/sundials.h"
 #include "gridfire/utils/table_format.h"
+#include "gridfire/utils/macros.h"

src/lib/engine/engine_graph.cpp

@@ -118,8 +118,7 @@ namespace gridfire::engine {
     m_weakRateInterpolator(rates::weak::UNIFIED_WEAK_DATA),
     m_reactions(build_nuclear_network(composition, m_weakRateInterpolator, buildDepth, reactionTypes)),
     m_partitionFunction(partitionFunction.clone()),
-    m_depth(buildDepth),
+    m_depth(buildDepth)
-    m_state_blob_offset(0) // For a base engine the offset is always 0
     {
         syncInternalMaps();
     }
@@ -128,8 +127,7 @@ namespace gridfire::engine {
         const reaction::ReactionSet &reactions
     ) :
     m_weakRateInterpolator(rates::weak::UNIFIED_WEAK_DATA),
-    m_reactions(reactions),
+    m_reactions(reactions)
-    m_state_blob_offset(0)
     {
         syncInternalMaps();
     }
@@ -398,8 +396,10 @@ namespace gridfire::engine {
             else { factor = std::pow(abundance, static_cast<double>(power)); }
 
             if (!std::isfinite(factor)) {
-                LOG_CRITICAL(m_logger, "Non-finite factor encountered in forward abundance product for reaction '{}'. Check input abundances for validity.", reaction.id());
+                const auto& sp = m_indexToSpeciesMap.at(reactantIndex);
-                throw exceptions::BadRHSEngineError("Non-finite factor encountered in forward abundance product.");
+                std::string error_msg = std::format("Non-finite factor encountered in forward abundance product in reaction {} for species {} (Abundance: {}). Check input abundances for validity.", reaction.id(), sp.name(), abundance);
+                LOG_CRITICAL(m_logger, "{}", error_msg);
+                throw exceptions::BadRHSEngineError(error_msg);
             }
 
             forwardAbundanceProduct *= factor;
@@ -949,9 +949,6 @@ namespace gridfire::engine {
         const double rho,
         const std::vector<fourdst::atomic::Species> &activeSpecies
     ) const {
-        // PERF: For small k it may make sense to implement a purley forward mode AD computation,
-        //       some heuristic could be used to switch between the two methods based on k and
-        //       total network species
         const size_t k_active = activeSpecies.size();
 
         // --- 1. Get the list of global indices ---
@@ -1443,7 +1440,7 @@ namespace gridfire::engine {
 
             m_precomputed_reactions.push_back(std::move(precomp));
         }
-        LOG_TRACE_L1(m_logger, "Pre-computation complete. Precomputed data for {} reactions.", m_precomputedReactions.size());
+        LOG_TRACE_L1(m_logger, "Pre-computation complete. Precomputed data for {} reactions.", m_precomputed_reactions.size());
     }
 
     bool GraphEngine::AtomicReverseRate::forward(

src/lib/engine/procedures/priming.cpp

@@ -2,7 +2,6 @@
 
 #include "fourdst/atomic/species.h"
 #include "fourdst/composition/utils.h"
-#include "gridfire/engine/views/engine_priming.h"
 #include "gridfire/solver/solver.h"
 
 #include "gridfire/engine/engine_abstract.h"
@@ -13,7 +12,7 @@
 #include "gridfire/engine/scratchpads/engine_graph_scratchpad.h"
 
 #include "fourdst/logging/logging.h"
-#include "gridfire/solver/strategies/CVODE_solver_strategy.h"
+#include "gridfire/solver/strategies/PointSolver.h"
 #include "quill/Logger.h"
 #include "quill/LogMacros.h"
 
@@ -28,13 +27,12 @@ namespace gridfire::engine {
         const GraphEngine& engine, const std::optional<std::vector<reaction::ReactionType>>& ignoredReactionTypes
     ) {
         const auto logger = LogManager::getInstance().getLogger("log");
-        solver::CVODESolverStrategy integrator(engine, ctx);
+        solver::PointSolver integrator(engine);
+        solver::PointSolverContext solverCtx(ctx);
+        solverCtx.abs_tol = 1e-3;
+        solverCtx.rel_tol = 1e-3;
+        solverCtx.stdout_logging = false;
 
-        // Do not need high precision for priming
-        integrator.set_absTol(1e-3);
-        integrator.set_relTol(1e-3);
-
-        integrator.set_stdout_logging_enabled(false);
         NetIn solverInput(netIn);
 
         solverInput.tMax = 1e-15;
@@ -43,7 +41,7 @@ namespace gridfire::engine {
         LOG_INFO(logger, "Short timescale ({}) network ignition started.", solverInput.tMax);
         PrimingReport report;
         try {
-            const NetOut netOut = integrator.evaluate(solverInput, false);
+            const NetOut netOut = integrator.evaluate(solverCtx, solverInput);
             LOG_INFO(logger, "Network ignition completed.");
             LOG_TRACE_L2(
                 logger,

src/lib/engine/views/engine_adaptive.cpp

@@ -129,8 +129,7 @@ namespace gridfire::engine {
         const double rho,
         const std::vector<Species> &activeSpecies
     ) const {
-        const auto *state = scratch::get_state<scratch::AdaptiveEngineViewScratchPad, true>(ctx);
+        return m_baseEngine.generateJacobianMatrix(ctx, comp, T9, rho, activeSpecies);
-        return m_baseEngine.generateJacobianMatrix(ctx, comp, T9, rho, state->active_species);
 
     }
 

src/lib/engine/views/engine_multiscale.cpp

@@ -748,7 +748,7 @@ namespace gridfire::engine {
                 }
             }
         }
-        LOG_TRACE_L1(m_logger, "Algebraic species identified: {}", utils::iterable_to_delimited_string(m_algebraic_species));
+        LOG_TRACE_L1(m_logger, "Algebraic species identified: {}", utils::iterable_to_delimited_string(state->algebraic_species));
 
         LOG_INFO(
             m_logger,
@@ -773,7 +773,7 @@ namespace gridfire::engine {
                 state->dynamic_species.push_back(species);
             }
         }
-        LOG_TRACE_L1(m_logger, "Final dynamic species set: {}", utils::iterable_to_delimited_string(m_dynamic_species));
+        LOG_TRACE_L1(m_logger, "Final dynamic species set: {}", utils::iterable_to_delimited_string(state->dynamic_species));
 
         LOG_TRACE_L1(m_logger, "Creating QSE solvers for each identified QSE group...");
         for (const auto& group : state->qse_groups) {
@@ -783,7 +783,7 @@ namespace gridfire::engine {
             }
             state->qse_solvers.push_back(std::make_unique<QSESolver>(groupAlgebraicSpecies, m_baseEngine, state->sun_ctx));
         }
-        LOG_TRACE_L1(m_logger, "{} QSE solvers created.", m_qse_solvers.size());
+        LOG_TRACE_L1(m_logger, "{} QSE solvers created.", state->qse_solvers.size());
 
         LOG_TRACE_L1(m_logger, "Calculating final equilibrated composition...");
         fourdst::composition::Composition result = getNormalizedEquilibratedComposition(ctx, comp, T9, rho, false);
@@ -1949,7 +1949,7 @@ namespace gridfire::engine {
         LOG_TRACE_L2(
             getLogger(),
             "Starting KINSol QSE solver with initial state: {}",
-            [&comp, &initial_rhs, &data]() -> std::string {
+            [&comp, &rhsGuess, &data]() -> std::string {
                 std::ostringstream oss;
                 oss << "Solve species: <";
                 size_t count = 0;
@@ -1963,7 +1963,7 @@ namespace gridfire::engine {
                 oss << "> | Initial abundances and rates: ";
                 count = 0;
                 for (const auto& [species, abundance] : comp) {
-                    oss << species.name() << ": Y = " << abundance << ", dY/dt = " << initial_rhs.value().dydt.at(species);
+                    oss << species.name() << ": Y = " << abundance << ", dY/dt = " << rhsGuess.dydt.at(species);
                     if (count < comp.size() - 1) {
                         oss << ", ";
                     }
@@ -2005,7 +2005,32 @@ namespace gridfire::engine {
                 LOG_INFO(getLogger(), "KINSol failed to converge within the maximum number of iterations, but achieved acceptable accuracy with function norm {} < {}. Proceeding with solution.",
                     fnorm, ACCEPTABLE_FTOL);
             } else {
-                LOG_WARNING(getLogger(), "KINSol failed to converge while solving QSE abundances with flag {}. Error {}", utils::kinsol_ret_code_map.at(flag), fnorm);
+                LOG_CRITICAL(getLogger(), "KINSol failed to converge while solving QSE abundances with flag {}. Flag No.: {}, Error (fNorm): {}", utils::kinsol_ret_code_map.at(flag), flag, fnorm);
+                LOG_CRITICAL(getLogger(), "State prior to failure: {}",
+                    [&comp, &data]() -> std::string {
+                        std::ostringstream oss;
+                        oss << "Solve species: <";
+                        size_t count = 0;
+                        for (const auto& species : data.qse_solve_species) {
+                            oss << species.name();
+                            if (count < data.qse_solve_species.size() - 1) {
+                                oss << ", ";
+                            }
+                            count++;
+                        }
+                        oss << "> | Abundances and rates at failure: ";
+                        count = 0;
+                        for (const auto& [species, abundance] : comp) {
+                            oss << species.name() << ": Y = " << abundance;
+                            if (count < comp.size() - 1) {
+                                oss << ", ";
+                            }
+                            count++;
+                        }
+                        oss << " | Temperature: " << data.T9 << ", Density: " << data.rho;
+                        return oss.str();
+                    }()
+                );
                 throw exceptions::InvalidQSESolutionError("KINSol failed to converge while solving QSE abundances. " + utils::kinsol_ret_code_map.at(flag));
             }
         }

src/lib/reaction/reaction.cpp

@@ -282,11 +282,11 @@ namespace gridfire::reaction {
         double Ye,
         double mue, const std::vector<double> &Y, const std::unordered_map<size_t, Species>& index_to_species_map
     ) const {
-        if (m_cached_rates.contains(T9)) {
+        // if (m_cached_rates.contains(T9)) {
-            return m_cached_rates.at(T9);
+        //     return m_cached_rates.at(T9);
-        }
+        // }
         const double rate = calculate_rate<double>(T9);
-        m_cached_rates[T9] = rate;
+        // m_cached_rates[T9] = rate;
         return rate;
     }
 

src/lib/solver/strategies/GridSolver.cpp

@@ -0,0 +1,107 @@
+#include "gridfire/solver/strategies/GridSolver.h"
+
+#include "gridfire/exceptions/error_solver.h"
+#include "gridfire/solver/strategies/PointSolver.h"
+#include "gridfire/utils/macros.h"
+#include "gridfire/utils/gf_omp.h"
+
+#include <cstdio>
+#include <print>
+
+namespace gridfire::solver {
+    void GridSolverContext::init() {}
+    void GridSolverContext::reset() {
+        solver_workspaces.clear();
+        timestep_callbacks.clear();
+    }
+
+    void GridSolverContext::set_callback(const std::function<void(const TimestepContextBase &)> &callback) {
+        for (auto &cb : timestep_callbacks) {
+            cb = callback;
+        }
+    }
+
+    void GridSolverContext::set_callback(const std::function<void(const TimestepContextBase &)> &callback, const size_t zone_idx) {
+        if (zone_idx >= timestep_callbacks.size()) {
+            throw exceptions::SolverError("GridSolverContext::set_callback: zone_idx out of range.");
+        }
+        timestep_callbacks[zone_idx] = callback;
+    }
+
+    void GridSolverContext::clear_callback() {
+        for (auto &cb : timestep_callbacks) {
+            cb = nullptr;
+        }
+    }
+
+    void GridSolverContext::clear_callback(const size_t zone_idx) {
+        if (zone_idx >= timestep_callbacks.size()) {
+            throw exceptions::SolverError("GridSolverContext::clear_callback: zone_idx out of range.");
+        }
+        timestep_callbacks[zone_idx] = nullptr;
+    }
+
+    void GridSolverContext::set_stdout_logging(const bool enable) {
+        zone_stdout_logging = enable;
+    }
+
+    void GridSolverContext::set_detailed_logging(const bool enable) {
+        zone_detailed_logging = enable;
+    }
+
+    GridSolverContext::GridSolverContext(
+        const engine::scratch::StateBlob &ctx_template
+    ) :
+    ctx_template(ctx_template) {}
+
+
+    GridSolver::GridSolver(
+        const engine::DynamicEngine &engine,
+        const SingleZoneDynamicNetworkSolver &solver
+    ) :
+    MultiZoneNetworkSolver(engine, solver) {
+        GF_PAR_INIT();
+    }
+
+    std::vector<NetOut> GridSolver::evaluate(
+        SolverContextBase& ctx,
+        const std::vector<NetIn>& netIns
+    ) const {
+        auto* sctx_p = dynamic_cast<GridSolverContext*>(&ctx);
+        if (!sctx_p) {
+            throw exceptions::SolverError("GridSolver::evaluate: SolverContextBase is not of type GridSolverContext.");
+        }
+
+        const size_t n_zones = netIns.size();
+        if (n_zones == 0) { return {}; }
+
+        std::vector<NetOut> results(n_zones);
+
+        sctx_p->solver_workspaces.resize(n_zones);
+
+        GF_OMP(
+            parallel for default(none) shared(sctx_p, n_zones),
+        for (size_t zone_idx = 0; zone_idx < n_zones; ++zone_idx)) {
+            sctx_p->solver_workspaces[zone_idx] = std::make_unique<PointSolverContext>(sctx_p->ctx_template);
+            sctx_p->solver_workspaces[zone_idx]->set_stdout_logging(sctx_p->zone_stdout_logging);
+            sctx_p->solver_workspaces[zone_idx]->set_detailed_logging(sctx_p->zone_detailed_logging);
+        }
+
+        GF_OMP(
+            parallel for default(none) shared(results, sctx_p, netIns, n_zones),
+        for (size_t zone_idx = 0; zone_idx < n_zones; ++zone_idx)) {
+            try {
+                results[zone_idx] = m_solver.evaluate(
+                    *sctx_p->solver_workspaces[zone_idx],
+                    netIns[zone_idx]
+                );
+            } catch (exceptions::GridFireError& e) {
+                std::println("CVODE Solver Failure in zone {}: {}", zone_idx, e.what());
+            }
+            if (sctx_p->zone_completion_logging) {
+                std::println("Thread {} completed zone {}", GF_OMP_THREAD_NUM, zone_idx);
+            }
+        }
+        return results;
+    }
+}

src/lib/solver/strategies/PointSolver.cpp

@@ -1,4 +1,4 @@
-#include "gridfire/solver/strategies/CVODE_solver_strategy.h"
+#include "gridfire/solver/strategies/PointSolver.h"
 
 #include "gridfire/types/types.h"
 #include "gridfire/utils/table_format.h"
@@ -28,7 +28,7 @@
 namespace gridfire::solver {
      using namespace gridfire::engine;
 
-    CVODESolverStrategy::TimestepContext::TimestepContext(
+    PointSolverTimestepContext::PointSolverTimestepContext(
         const double t,
         const N_Vector &state,
         const double dt,
@@ -58,7 +58,7 @@ namespace gridfire::solver {
     state_ctx(ctx)
     {}
 
-    std::vector<std::tuple<std::string, std::string>> CVODESolverStrategy::TimestepContext::describe() const {
+    std::vector<std::tuple<std::string, std::string>> PointSolverTimestepContext::describe() const {
         std::vector<std::tuple<std::string, std::string>> description;
         description.emplace_back("t", "Current Time");
         description.emplace_back("state", "Current State Vector (N_Vector)");
@@ -74,36 +74,112 @@ namespace gridfire::solver {
         return description;
     }
 
+    void PointSolverContext::init() {
+        reset_all();
+        init_context();
+    }
 
-    CVODESolverStrategy::CVODESolverStrategy(
+    void PointSolverContext::set_stdout_logging(const bool enable) {
-        const DynamicEngine &engine,
+        stdout_logging = enable;
-        const scratch::StateBlob& ctx
+    }
-    ): SingleZoneNetworkSolver<DynamicEngine>(engine, ctx) {
+
-        // PERF: In order to support MPI this function must be changed
+    void PointSolverContext::set_detailed_logging(const bool enable) {
-        const int flag = SUNContext_Create(SUN_COMM_NULL, &m_sun_ctx);
+        detailed_step_logging = enable;
-        if (flag < 0) {
+    }
-            throw std::runtime_error("Failed to create SUNDIALS context (SUNDIALS Errno: " + std::to_string(flag) + ")");
+
+    void PointSolverContext::reset_all() {
+        reset_user();
+        reset_cvode();
+    }
+
+    void PointSolverContext::reset_user() {
+        callback.reset();
+        num_steps = 0;
+        stdout_logging = true;
+        abs_tol.reset();
+        rel_tol.reset();
+        detailed_step_logging = false;
+        last_size = 0;
+        last_composition_hash = 0ULL;
+    }
+
+    void PointSolverContext::reset_cvode() {
+        if (LS) {
+            SUNLinSolFree(LS);
+            LS = nullptr;
+        }
+        if (J) {
+            SUNMatDestroy(J);
+            J = nullptr;
+        }
+        if (Y) {
+            N_VDestroy(Y);
+            Y = nullptr;
+        }
+        if (YErr) {
+            N_VDestroy(YErr);
+            YErr = nullptr;
+        }
+        if (constraints) {
+            N_VDestroy(constraints);
+            constraints = nullptr;
+        }
+        if (cvode_mem) {
+            CVodeFree(&cvode_mem);
+            cvode_mem = nullptr;
         }
     }
 
-    CVODESolverStrategy::~CVODESolverStrategy() {
+    void PointSolverContext::clear_context() {
-        LOG_TRACE_L1(m_logger, "Cleaning up CVODE resources...");
+        if (sun_ctx) {
-        cleanup_cvode_resources(true);
+            SUNContext_Free(&sun_ctx);
-
+            sun_ctx = nullptr;
-        if (m_sun_ctx) {
-            SUNContext_Free(&m_sun_ctx);
         }
     }
 
-    NetOut CVODESolverStrategy::evaluate(const NetIn& netIn) {
+    void PointSolverContext::init_context() {
-        return evaluate(netIn, false);
+        if (!sun_ctx) {
+            utils::check_sundials_flag(SUNContext_Create(SUN_COMM_NULL, &sun_ctx), "SUNContext_Create", utils::SUNDIALS_RET_CODE_TYPES::CVODE);
+        }
     }
 
-    NetOut CVODESolverStrategy::evaluate(
+    bool PointSolverContext::has_context() const {
+        return sun_ctx != nullptr;
+    }
+
+    PointSolverContext::PointSolverContext(
+        const scratch::StateBlob& engine_ctx
+    ) :
+    engine_ctx(engine_ctx.clone_structure())
+    {
+        utils::check_sundials_flag(SUNContext_Create(SUN_COMM_NULL, &sun_ctx), "SUNContext_Create", utils::SUNDIALS_RET_CODE_TYPES::CVODE);
+    }
+
+    PointSolverContext::~PointSolverContext() {
+        reset_cvode();
+        clear_context();
+    }
+
+
+    PointSolver::PointSolver(
+        const DynamicEngine &engine
+    ): SingleZoneNetworkSolver(engine) {}
+
+    NetOut PointSolver::evaluate(
+        SolverContextBase& solver_ctx,
+        const NetIn& netIn
+    ) const {
+        return evaluate(solver_ctx, netIn, false);
+    }
+
+    NetOut PointSolver::evaluate(
+        SolverContextBase& solver_ctx,
         const NetIn &netIn,
         bool displayTrigger,
         bool forceReinitialize
-    ) {
+    ) const {
+        auto* sctx_p = dynamic_cast<PointSolverContext*>(&solver_ctx);
+
         LOG_TRACE_L1(m_logger, "Starting solver evaluation with T9: {} and rho: {}", netIn.temperature/1e9, netIn.density);
         LOG_TRACE_L1(m_logger, "Building engine update trigger....");
         auto trigger = trigger::solver::CVODE::makeEnginePartitioningTrigger(1e12, 1e10, 0.5, 2);
@@ -117,23 +193,24 @@ namespace gridfire::solver {
         //  2. If the user has set tolerances in code, those override the config
         //  3. If the user has not set tolerances in code and the config does not have them, use hardcoded defaults
 
-        auto absTol = m_config->solver.cvode.absTol;
+        if (!sctx_p->abs_tol.has_value()) {
-        auto relTol = m_config->solver.cvode.relTol;
+            sctx_p->abs_tol = m_config->solver.cvode.absTol;
-
-        if (m_absTol) {
-            absTol = *m_absTol;
         }
-        if (m_relTol) {
+        if (!sctx_p->rel_tol.has_value()) {
-            relTol = *m_relTol;
+            sctx_p->rel_tol = m_config->solver.cvode.relTol;
         }
 
-        bool resourcesExist = (m_cvode_mem != nullptr) && (m_Y != nullptr);
 
-        bool inconsistentComposition = netIn.composition.hash() != m_last_composition_hash;
+        bool resourcesExist = (sctx_p->cvode_mem != nullptr) && (sctx_p->Y != nullptr);
+
+        bool inconsistentComposition = netIn.composition.hash() != sctx_p->last_composition_hash;
         fourdst::composition::Composition equilibratedComposition;
 
         if (forceReinitialize || !resourcesExist || inconsistentComposition) {
-            cleanup_cvode_resources(true);
+            sctx_p->reset_cvode();
+            if (!sctx_p->has_context()) {
+                sctx_p->init_context();
+            }
             LOG_INFO(
                 m_logger,
                 "Preforming full CVODE initialization (Reason: {})",
@@ -141,26 +218,24 @@ namespace gridfire::solver {
                         (!resourcesExist ? "CVODE resources do not exist" :
                             "Input composition inconsistent with previous state"));
             LOG_TRACE_L1(m_logger, "Starting engine update chain...");
-            equilibratedComposition = m_engine.project(*m_scratch_blob, netIn);
+            equilibratedComposition = m_engine.project(*sctx_p->engine_ctx, netIn);
             LOG_TRACE_L1(m_logger, "Engine updated and equilibrated composition found!");
 
-            size_t numSpecies = m_engine.getNetworkSpecies(*m_scratch_blob).size();
+            size_t numSpecies = m_engine.getNetworkSpecies(*sctx_p->engine_ctx).size();
             uint64_t N = numSpecies + 1;
 
             LOG_TRACE_L1(m_logger, "Number of species: {} ({} independent variables)", numSpecies, N);
             LOG_TRACE_L1(m_logger, "Initializing CVODE resources");
-            m_cvode_mem = CVodeCreate(CV_BDF, m_sun_ctx);
-            utils::check_cvode_flag(m_cvode_mem == nullptr ? -1 : 0, "CVodeCreate");
 
-            initialize_cvode_integration_resources(N, numSpecies, 0.0, equilibratedComposition, absTol, relTol, 0.0);
+            initialize_cvode_integration_resources(sctx_p, N, numSpecies, 0.0, equilibratedComposition, sctx_p->abs_tol.value(), sctx_p->rel_tol.value(), 0.0);
-            m_last_size = N;
+            sctx_p->last_size = N;
         } else {
-            LOG_INFO(m_logger, "Reusing existing CVODE resources (size: {})", m_last_size);
+            LOG_INFO(m_logger, "Reusing existing CVODE resources (size: {})", sctx_p->last_size);
 
-            const size_t numSpecies = m_engine.getNetworkSpecies(*m_scratch_blob).size();
+            const size_t numSpecies = m_engine.getNetworkSpecies(*sctx_p->engine_ctx).size();
-            sunrealtype *y_data = N_VGetArrayPointer(m_Y);
+            sunrealtype *y_data = N_VGetArrayPointer(sctx_p->Y);
             for (size_t i = 0; i < numSpecies; i++) {
-                const auto& species = m_engine.getNetworkSpecies(*m_scratch_blob)[i];
+                const auto& species = m_engine.getNetworkSpecies(*sctx_p->engine_ctx)[i];
                 if (netIn.composition.contains(species)) {
                     y_data[i] = netIn.composition.getMolarAbundance(species);
                 } else {
@@ -168,16 +243,17 @@ namespace gridfire::solver {
                 }
             }
             y_data[numSpecies] = 0.0; // Reset energy accumulator
-            utils::check_cvode_flag(CVodeSStolerances(m_cvode_mem, relTol, absTol), "CVodeSStolerances");
+            utils::check_cvode_flag(CVodeSStolerances(sctx_p->cvode_mem, sctx_p->rel_tol.value(), sctx_p->abs_tol.value()), "CVodeSStolerances");
-            utils::check_cvode_flag(CVodeReInit(m_cvode_mem, 0.0, m_Y), "CVodeReInit");
+            utils::check_cvode_flag(CVodeReInit(sctx_p->cvode_mem, 0.0, sctx_p->Y), "CVodeReInit");
 
             equilibratedComposition = netIn.composition; // Use the provided composition as-is if we already have validated CVODE resources and that the composition is consistent with the previous state
         }
 
-        size_t numSpecies = m_engine.getNetworkSpecies(*m_scratch_blob).size();
+        size_t numSpecies = m_engine.getNetworkSpecies(*sctx_p->engine_ctx).size();
         CVODEUserData user_data {
             .solver_instance = this,
-            .ctx = *m_scratch_blob,
+            .sctx = sctx_p,
+            .ctx = *sctx_p->engine_ctx,
             .engine = &m_engine,
         };
         LOG_TRACE_L1(m_logger, "CVODE resources successfully initialized!");
@@ -185,7 +261,7 @@ namespace gridfire::solver {
         double current_time = 0;
         // ReSharper disable once CppTooWideScope
         [[maybe_unused]] double last_callback_time = 0;
-        m_num_steps = 0;
+        sctx_p->num_steps = 0;
         double accumulated_energy = 0.0;
 
         double accumulated_neutrino_energy_loss = 0.0;
@@ -200,18 +276,18 @@ namespace gridfire::solver {
 
         size_t total_steps = 0;
 
-        LOG_TRACE_L1(m_logger, "Starting CVODE iteration");
+        LOG_TRACE_L1(m_logger, "Starting CVODE iteration...");
         fourdst::composition::Composition postStep = equilibratedComposition;
         while (current_time < netIn.tMax) {
             user_data.T9 = T9;
             user_data.rho = netIn.density;
-            user_data.networkSpecies = &m_engine.getNetworkSpecies(*m_scratch_blob);
+            user_data.networkSpecies = &m_engine.getNetworkSpecies(*sctx_p->engine_ctx);
             user_data.captured_exception.reset();
 
-            utils::check_cvode_flag(CVodeSetUserData(m_cvode_mem, &user_data), "CVodeSetUserData");
+            utils::check_cvode_flag(CVodeSetUserData(sctx_p->cvode_mem, &user_data), "CVodeSetUserData");
 
             LOG_TRACE_L2(m_logger, "Taking one CVODE step...");
-            int flag = CVode(m_cvode_mem, netIn.tMax, m_Y, &current_time, CV_ONE_STEP);
+            int flag = CVode(sctx_p->cvode_mem, netIn.tMax, sctx_p->Y, &current_time, CV_ONE_STEP);
             LOG_TRACE_L2(m_logger, "CVODE step complete. Current time: {}, step status: {}", current_time, utils::cvode_ret_code_map.at(flag));
 
             if (user_data.captured_exception){
@@ -223,13 +299,13 @@ namespace gridfire::solver {
 
             long int n_steps;
             double last_step_size;
-            CVodeGetNumSteps(m_cvode_mem, &n_steps);
+            CVodeGetNumSteps(sctx_p->cvode_mem, &n_steps);
-            CVodeGetLastStep(m_cvode_mem, &last_step_size);
+            CVodeGetLastStep(sctx_p->cvode_mem, &last_step_size);
             long int nliters, nlcfails;
-            CVodeGetNumNonlinSolvIters(m_cvode_mem, &nliters);
+            CVodeGetNumNonlinSolvIters(sctx_p->cvode_mem, &nliters);
-            CVodeGetNumNonlinSolvConvFails(m_cvode_mem, &nlcfails);
+            CVodeGetNumNonlinSolvConvFails(sctx_p->cvode_mem, &nlcfails);
 
-            sunrealtype* y_data = N_VGetArrayPointer(m_Y);
+            sunrealtype* y_data = N_VGetArrayPointer(sctx_p->Y);
             const double current_energy = y_data[numSpecies]; // Specific energy rate
 
             // TODO: Accumulate neutrino loss through the state vector directly which will allow CVODE to properly integrate it
@@ -238,7 +314,7 @@ namespace gridfire::solver {
 
             size_t iter_diff = (total_nonlinear_iterations + nliters) - prev_nonlinear_iterations;
             size_t convFail_diff = (total_convergence_failures + nlcfails) - prev_convergence_failures;
-            if (m_stdout_logging_enabled) {
+            if (sctx_p->stdout_logging) {
                 std::println(
                     "Step: {:6} | Updates: {:3} | Epoch Steps: {:4} | t: {:.3e} [s] | dt: {:15.6E} [s] | Iterations: {:6} (+{:2}) | Total Convergence Failures: {:2} (+{:2})",
                     total_steps + n_steps,
@@ -253,20 +329,16 @@ namespace gridfire::solver {
                 );
             }
             for (size_t i = 0; i < numSpecies; ++i) {
-                const auto& species = m_engine.getNetworkSpecies(*m_scratch_blob)[i];
+                const auto& species = m_engine.getNetworkSpecies(*sctx_p->engine_ctx)[i];
                 if (y_data[i] > 0.0) {
                     postStep.setMolarAbundance(species, y_data[i]);
                 }
             }
-            // fourdst::composition::Composition collectedComposition = m_engine.collectComposition(postStep, netIn.temperature/1e9, netIn.density);
-            // for (size_t i = 0; i < numSpecies; ++i) {
-            //     y_data[i] = collectedComposition.getMolarAbundance(m_engine.getNetworkSpecies()[i]);
-            // }
             LOG_INFO(m_logger, "Completed {:5} steps to time {:10.4E} [s] (dt = {:15.6E} [s]). Current specific energy: {:15.6E} [erg/g]", total_steps + n_steps, current_time, last_step_size, current_energy);
             LOG_DEBUG(m_logger, "Current composition (molar abundance): {}", [&]() -> std::string {
                 std::stringstream ss;
                 for (size_t i = 0; i < numSpecies; ++i) {
-                    const auto& species = m_engine.getNetworkSpecies(*m_scratch_blob)[i];
+                    const auto& species = m_engine.getNetworkSpecies(*sctx_p->engine_ctx)[i];
                     ss << species.name() << ": (y_data = " << y_data[i] << ", collected = " << postStep.getMolarAbundance(species) << ")";
                     if (i < numSpecies - 1) {
                         ss << ", ";
@@ -282,36 +354,44 @@ namespace gridfire::solver {
                                   ? user_data.reaction_contribution_map.value()
                                   : kEmptyMap;
 
-            auto ctx = TimestepContext(
+            auto ctx = PointSolverTimestepContext(
                 current_time,
-                m_Y,
+                sctx_p->Y,
                 last_step_size,
                 last_callback_time,
                 T9,
                 netIn.density,
                 n_steps,
                 m_engine,
-                m_engine.getNetworkSpecies(*m_scratch_blob),
+                m_engine.getNetworkSpecies(*sctx_p->engine_ctx),
                 convFail_diff,
                 iter_diff,
                 rcMap,
-                *m_scratch_blob
+                *sctx_p->engine_ctx
             );
 
             prev_nonlinear_iterations = nliters + total_nonlinear_iterations;
             prev_convergence_failures = nlcfails + total_convergence_failures;
 
-            if (m_callback.has_value()) {
+            if (sctx_p->callback.has_value()) {
-                m_callback.value()(ctx);
+                sctx_p->callback.value()(ctx);
             }
             trigger->step(ctx);
 
-            if (m_detailed_step_logging) {
+            if (sctx_p->detailed_step_logging) {
-                log_step_diagnostics(*m_scratch_blob, user_data, true, true, true, "step_" + std::to_string(total_steps + n_steps) + ".json");
+                log_step_diagnostics(
+                    sctx_p,
+                    *sctx_p->engine_ctx,
+                    user_data,
+                    true,
+                    true,
+                    true,
+                    "step_" + std::to_string(total_steps + n_steps) + ".json"
+                );
             }
 
             if (trigger->check(ctx)) {
-                if (m_stdout_logging_enabled && displayTrigger) {
+                if (sctx_p->stdout_logging && displayTrigger) {
                     trigger::printWhy(trigger->why(ctx));
                 }
                 trigger->update(ctx);
@@ -333,20 +413,20 @@ namespace gridfire::solver {
 
                 fourdst::composition::Composition temp_comp;
                 std::vector<double> mass_fractions;
-                auto num_species_at_stop = static_cast<long int>(m_engine.getNetworkSpecies(*m_scratch_blob).size());
+                auto num_species_at_stop = static_cast<long int>(m_engine.getNetworkSpecies(*sctx_p->engine_ctx).size());
 
-                if (num_species_at_stop > m_Y->ops->nvgetlength(m_Y) - 1) {
+                if (num_species_at_stop > sctx_p->Y->ops->nvgetlength(sctx_p->Y) - 1) {
                     LOG_ERROR(
                         m_logger,
                         "Number of species at engine update ({}) exceeds the number of species in the CVODE solver ({}). This should never happen.",
                         num_species_at_stop,
-                        m_Y->ops->nvgetlength(m_Y) - 1 // -1 due to energy in the last index
+                        sctx_p->Y->ops->nvgetlength(sctx_p->Y) - 1 // -1 due to energy in the last index
                     );
                     throw std::runtime_error("Number of species at engine update exceeds the number of species in the CVODE solver. This should never happen.");
                 }
 
-                for (const auto& species: m_engine.getNetworkSpecies(*m_scratch_blob)) {
+                for (const auto& species: m_engine.getNetworkSpecies(*sctx_p->engine_ctx)) {
-                    const size_t sid = m_engine.getSpeciesIndex(*m_scratch_blob, species);
+                    const size_t sid = m_engine.getSpeciesIndex(*sctx_p->engine_ctx, species);
                     temp_comp.registerSpecies(species);
                     double y = end_of_step_abundances[sid];
                     if (y > 0.0) {
@@ -356,7 +436,7 @@ namespace gridfire::solver {
 
 #ifndef NDEBUG
                 for (long int i = 0; i < num_species_at_stop; ++i) {
-                    const auto& species = m_engine.getNetworkSpecies(*m_scratch_blob)[i];
+                    const auto& species = m_engine.getNetworkSpecies(*sctx_p->engine_ctx)[i];
                     if (std::abs(temp_comp.getMolarAbundance(species) - y_data[i]) > 1e-12) {
                         throw exceptions::UtilityError("Conversion from solver state to composition molar abundance failed verification.");
                     }
@@ -391,7 +471,7 @@ namespace gridfire::solver {
                     "Prior to Engine Update active reactions are: {}",
                     [&]() -> std::string {
                         std::stringstream ss;
-                        const gridfire::reaction::ReactionSet& reactions = m_engine.getNetworkReactions(*m_scratch_blob);
+                        const gridfire::reaction::ReactionSet& reactions = m_engine.getNetworkReactions(*sctx_p->engine_ctx);
                         size_t count = 0;
                         for (const auto& reaction : reactions) {
                             ss << reaction -> id();
@@ -403,7 +483,7 @@ namespace gridfire::solver {
                         return ss.str();
                     }()
                 );
-                fourdst::composition::Composition currentComposition = m_engine.project(*m_scratch_blob, netInTemp);
+                fourdst::composition::Composition currentComposition = m_engine.project(*sctx_p->engine_ctx, netInTemp);
                 LOG_DEBUG(
                     m_logger,
                     "After to Engine update composition is (molar abundance) {}",
@@ -450,7 +530,7 @@ namespace gridfire::solver {
                     "After Engine Update active reactions are: {}",
                     [&]() -> std::string {
                         std::stringstream ss;
-                        const gridfire::reaction::ReactionSet& reactions = m_engine.getNetworkReactions(*m_scratch_blob);
+                        const gridfire::reaction::ReactionSet& reactions = m_engine.getNetworkReactions(*sctx_p->engine_ctx);
                         size_t count = 0;
                         for (const auto& reaction : reactions) {
                             ss << reaction -> id();
@@ -466,34 +546,29 @@ namespace gridfire::solver {
                     m_logger,
                     "Due to a triggered engine update the composition was updated from size {} to {} species.",
                     num_species_at_stop,
-                    m_engine.getNetworkSpecies(*m_scratch_blob).size()
+                    m_engine.getNetworkSpecies(*sctx_p->engine_ctx).size()
                 );
 
-                numSpecies = m_engine.getNetworkSpecies(*m_scratch_blob).size();
+                numSpecies = m_engine.getNetworkSpecies(*sctx_p->engine_ctx).size();
                 size_t N = numSpecies + 1;
 
                 LOG_INFO(m_logger, "Starting CVODE reinitialization after engine update...");
-                cleanup_cvode_resources(true);
+                sctx_p->reset_cvode();
+                initialize_cvode_integration_resources(sctx_p, N, numSpecies, current_time, currentComposition, sctx_p->abs_tol.value(), sctx_p->rel_tol.value(), accumulated_energy);
 
-                m_cvode_mem = CVodeCreate(CV_BDF, m_sun_ctx);
+                utils::check_cvode_flag(CVodeReInit(sctx_p->cvode_mem, current_time, sctx_p->Y), "CVodeReInit");
-                utils::check_cvode_flag(m_cvode_mem == nullptr ? -1 : 0, "CVodeCreate");
-
-                initialize_cvode_integration_resources(N, numSpecies, current_time, currentComposition, absTol, relTol, accumulated_energy);
-
-                utils::check_cvode_flag(CVodeReInit(m_cvode_mem, current_time, m_Y), "CVodeReInit");
-                // throw exceptions::DebugException("Debug");
                 LOG_INFO(m_logger, "Done reinitializing CVODE after engine update. The next log messages will be from the first step after reinitialization...");
             }
 
         }
 
-        if (m_stdout_logging_enabled) { // Flush the buffer if standard out logging is enabled
+        if (sctx_p->stdout_logging) { // Flush the buffer if standard out logging is enabled
             std::cout << std::flush;
         }
 
         LOG_INFO(m_logger, "CVODE iteration complete");
 
-        sunrealtype* y_data = N_VGetArrayPointer(m_Y);
+        sunrealtype* y_data = N_VGetArrayPointer(sctx_p->Y);
         accumulated_energy += y_data[numSpecies];
         std::vector<double> y_vec(y_data, y_data + numSpecies);
 
@@ -505,7 +580,7 @@ namespace gridfire::solver {
 
         LOG_INFO(m_logger, "Constructing final composition= with {} species", numSpecies);
 
-        fourdst::composition::Composition topLevelComposition(m_engine.getNetworkSpecies(*m_scratch_blob), y_vec);
+        fourdst::composition::Composition topLevelComposition(m_engine.getNetworkSpecies(*sctx_p->engine_ctx), y_vec);
         LOG_INFO(m_logger, "Final composition constructed from solver state successfully! ({})", [&topLevelComposition]() -> std::string {
             std::ostringstream ss;
             size_t i = 0;
@@ -520,7 +595,7 @@ namespace gridfire::solver {
         }());
 
         LOG_INFO(m_logger, "Collecting final composition...");
-        fourdst::composition::Composition outputComposition = m_engine.collectComposition(*m_scratch_blob, topLevelComposition, netIn.temperature/1e9, netIn.density);
+        fourdst::composition::Composition outputComposition = m_engine.collectComposition(*sctx_p->engine_ctx, topLevelComposition, netIn.temperature/1e9, netIn.density);
 
         assert(outputComposition.getRegisteredSymbols().size() == equilibratedComposition.getRegisteredSymbols().size());
 
@@ -541,11 +616,11 @@ namespace gridfire::solver {
         NetOut netOut;
         netOut.composition = outputComposition;
         netOut.energy = accumulated_energy;
-        utils::check_cvode_flag(CVodeGetNumSteps(m_cvode_mem, reinterpret_cast<long int *>(&netOut.num_steps)), "CVodeGetNumSteps");
+        utils::check_cvode_flag(CVodeGetNumSteps(sctx_p->cvode_mem, reinterpret_cast<long int *>(&netOut.num_steps)), "CVodeGetNumSteps");
 
         LOG_TRACE_L2(m_logger, "generating final nuclear energy generation rate derivatives...");
         auto [dEps_dT, dEps_dRho] = m_engine.calculateEpsDerivatives(
-            *m_scratch_blob,
+            *sctx_p->engine_ctx,
             outputComposition,
             T9,
             netIn.density
@@ -559,53 +634,13 @@ namespace gridfire::solver {
         LOG_TRACE_L2(m_logger, "Output data built!");
         LOG_TRACE_L2(m_logger, "Solver evaluation complete!.");
 
-        m_last_composition_hash = netOut.composition.hash();
+        sctx_p->last_composition_hash = netOut.composition.hash();
-        m_last_size = netOut.composition.size() + 1;
+        sctx_p->last_size = netOut.composition.size() + 1;
-        CVodeGetLastStep(m_cvode_mem, &m_last_good_time_step);
+        CVodeGetLastStep(sctx_p->cvode_mem, &sctx_p->last_good_time_step);
         return netOut;
     }
 
-    void CVODESolverStrategy::set_callback(const std::any &callback) {
+    int PointSolver::cvode_rhs_wrapper(
-        m_callback = std::any_cast<TimestepCallback>(callback);
-    }
-
-    bool CVODESolverStrategy::get_stdout_logging_enabled() const {
-        return m_stdout_logging_enabled;
-    }
-
-    void CVODESolverStrategy::set_stdout_logging_enabled(const bool logging_enabled) {
-        m_stdout_logging_enabled = logging_enabled;
-    }
-
-    void CVODESolverStrategy::set_absTol(double absTol) {
-        m_absTol = absTol;
-    }
-
-    void CVODESolverStrategy::set_relTol(double relTol) {
-        m_relTol = relTol;
-    }
-
-    double CVODESolverStrategy::get_absTol() const {
-        if (m_absTol.has_value()) {
-            return m_absTol.value();
-        } else {
-            return -1.0;
-        }
-    }
-
-    double CVODESolverStrategy::get_relTol() const {
-        if (m_relTol.has_value()) {
-            return m_relTol.value();
-        } else {
-            return -1.0;
-        }
-    }
-
-    std::vector<std::tuple<std::string, std::string>> CVODESolverStrategy::describe_callback_context() const {
-        return {};
-    }
-
-    int CVODESolverStrategy::cvode_rhs_wrapper(
         const sunrealtype t,
         const N_Vector y,
         const N_Vector ydot,
@@ -633,7 +668,7 @@ namespace gridfire::solver {
         }
     }
 
-    int CVODESolverStrategy::cvode_jac_wrapper(
+    int PointSolver::cvode_jac_wrapper(
         sunrealtype t,
         N_Vector y,
         N_Vector ydot,
@@ -754,7 +789,7 @@ namespace gridfire::solver {
         return 0;
     }
 
-    CVODESolverStrategy::CVODERHSOutputData CVODESolverStrategy::calculate_rhs(
+    PointSolver::CVODERHSOutputData PointSolver::calculate_rhs(
         const sunrealtype t,
         N_Vector y,
         N_Vector ydot,
@@ -772,10 +807,10 @@ namespace gridfire::solver {
             }
         }
         std::vector<double> y_vec(y_data, y_data + numSpecies);
-        fourdst::composition::Composition composition(m_engine.getNetworkSpecies(*m_scratch_blob), y_vec);
+        fourdst::composition::Composition composition(m_engine.getNetworkSpecies(data->ctx), y_vec);
 
         LOG_TRACE_L2(m_logger, "Calculating RHS at time {} with {} species in composition", t, composition.size());
-        const auto result = m_engine.calculateRHSAndEnergy(*m_scratch_blob, composition, data->T9, data->rho, false);
+        const auto result = m_engine.calculateRHSAndEnergy(data->ctx, composition, data->T9, data->rho, false);
         if (!result) {
             LOG_CRITICAL(m_logger, "Failed to calculate RHS at time {}: {}", t, EngineStatus_to_string(result.error()));
             throw exceptions::BadRHSEngineError(std::format("Failed to calculate RHS at time {}: {}", t, EngineStatus_to_string(result.error())));
@@ -805,7 +840,7 @@ namespace gridfire::solver {
         }());
 
         for (size_t i = 0; i < numSpecies; ++i) {
-            fourdst::atomic::Species species = m_engine.getNetworkSpecies(*m_scratch_blob)[i];
+            fourdst::atomic::Species species = m_engine.getNetworkSpecies(data->ctx)[i];
             ydot_data[i] = dydt.at(species);
         }
         ydot_data[numSpecies] = nuclearEnergyGenerationRate; // Set the last element to the specific energy rate
@@ -813,7 +848,8 @@ namespace gridfire::solver {
         return {reactionContributions, result.value().neutrinoEnergyLossRate, result.value().totalNeutrinoFlux};
     }
 
-    void CVODESolverStrategy::initialize_cvode_integration_resources(
+    void PointSolver::initialize_cvode_integration_resources(
+        PointSolverContext* sctx_p,
         const uint64_t N,
         const size_t numSpecies,
         const double current_time,
@@ -821,16 +857,18 @@ namespace gridfire::solver {
         const double absTol,
         const double relTol,
         const double accumulatedEnergy
-    ) {
+    ) const {
         LOG_TRACE_L2(m_logger, "Initializing CVODE integration resources with N: {}, current_time: {}, absTol: {}, relTol: {}", N, current_time, absTol, relTol);
-        cleanup_cvode_resources(false); // Cleanup any existing resources before initializing new ones
+        sctx_p->reset_cvode();
 
-        m_Y = utils::init_sun_vector(N, m_sun_ctx);
+        sctx_p->cvode_mem = CVodeCreate(CV_BDF, sctx_p->sun_ctx);
-        m_YErr = N_VClone(m_Y);
+        utils::check_cvode_flag(sctx_p->cvode_mem == nullptr ? -1 : 0, "CVodeCreate");
+        sctx_p->Y = utils::init_sun_vector(N, sctx_p->sun_ctx);
+        sctx_p->YErr = N_VClone(sctx_p->Y);
 
-        sunrealtype *y_data = N_VGetArrayPointer(m_Y);
+        sunrealtype *y_data = N_VGetArrayPointer(sctx_p->Y);
         for (size_t i = 0; i < numSpecies; i++) {
-            const auto& species = m_engine.getNetworkSpecies(*m_scratch_blob)[i];
+            const auto& species = m_engine.getNetworkSpecies(*sctx_p->engine_ctx)[i];
             if (composition.contains(species)) {
                 y_data[i] = composition.getMolarAbundance(species);
             } else {
@@ -840,8 +878,8 @@ namespace gridfire::solver {
         y_data[numSpecies] = accumulatedEnergy; // Specific energy rate, initialized to zero
 
 
-        utils::check_cvode_flag(CVodeInit(m_cvode_mem, cvode_rhs_wrapper, current_time, m_Y), "CVodeInit");
+        utils::check_cvode_flag(CVodeInit(sctx_p->cvode_mem, cvode_rhs_wrapper, current_time, sctx_p->Y), "CVodeInit");
-        utils::check_cvode_flag(CVodeSStolerances(m_cvode_mem, relTol, absTol), "CVodeSStolerances");
+        utils::check_cvode_flag(CVodeSStolerances(sctx_p->cvode_mem, relTol, absTol), "CVodeSStolerances");
 
         // Constraints
         // We constrain the solution vector using CVODE's built in constraint flags as outlines on page 53 of the CVODE manual
@@ -854,53 +892,30 @@ namespace gridfire::solver {
         // -2.0: The corresponding component of y is constrained to be < 0
         // Here we use 1.0 for all species to ensure they remain non-negative.
 
-        m_constraints = N_VClone(m_Y);
+        sctx_p->constraints = N_VClone(sctx_p->Y);
-        if (m_constraints == nullptr) {
+        if (sctx_p->constraints == nullptr) {
             LOG_ERROR(m_logger, "Failed to create constraints vector for CVODE");
             throw std::runtime_error("Failed to create constraints vector for CVODE");
         }
-        N_VConst(1.0, m_constraints); // Set all constraints to >= 0 (note this is where the flag values are set)
+        N_VConst(1.0, sctx_p->constraints); // Set all constraints to >= 0 (note this is where the flag values are set)
 
-        utils::check_cvode_flag(CVodeSetConstraints(m_cvode_mem, m_constraints), "CVodeSetConstraints");
+        utils::check_cvode_flag(CVodeSetConstraints(sctx_p->cvode_mem, sctx_p->constraints), "CVodeSetConstraints");
 
-        utils::check_cvode_flag(CVodeSetMaxStep(m_cvode_mem, 1.0e20), "CVodeSetMaxStep");
+        utils::check_cvode_flag(CVodeSetMaxStep(sctx_p->cvode_mem, 1.0e20), "CVodeSetMaxStep");
 
-        m_J = SUNDenseMatrix(static_cast<sunindextype>(N), static_cast<sunindextype>(N), m_sun_ctx);
+        sctx_p->J = SUNDenseMatrix(static_cast<sunindextype>(N), static_cast<sunindextype>(N), sctx_p->sun_ctx);
-        utils::check_cvode_flag(m_J == nullptr ? -1 : 0, "SUNDenseMatrix");
+        utils::check_cvode_flag(sctx_p->J == nullptr ? -1 : 0, "SUNDenseMatrix");
-        m_LS = SUNLinSol_Dense(m_Y, m_J, m_sun_ctx);
+        sctx_p->LS = SUNLinSol_Dense(sctx_p->Y, sctx_p->J, sctx_p->sun_ctx);
-        utils::check_cvode_flag(m_LS == nullptr ? -1 : 0, "SUNLinSol_Dense");
+        utils::check_cvode_flag(sctx_p->LS == nullptr ? -1 : 0, "SUNLinSol_Dense");
 
-        utils::check_cvode_flag(CVodeSetLinearSolver(m_cvode_mem, m_LS, m_J), "CVodeSetLinearSolver");
+        utils::check_cvode_flag(CVodeSetLinearSolver(sctx_p->cvode_mem, sctx_p->LS, sctx_p->J), "CVodeSetLinearSolver");
-        utils::check_cvode_flag(CVodeSetJacFn(m_cvode_mem, cvode_jac_wrapper), "CVodeSetJacFn");
+        utils::check_cvode_flag(CVodeSetJacFn(sctx_p->cvode_mem, cvode_jac_wrapper), "CVodeSetJacFn");
         LOG_TRACE_L2(m_logger, "CVODE solver initialized");
     }
 
-    void CVODESolverStrategy::cleanup_cvode_resources(const bool memFree) {
-        LOG_TRACE_L2(m_logger, "Cleaning up cvode resources");
-        if (m_LS) SUNLinSolFree(m_LS);
-        if (m_J) SUNMatDestroy(m_J);
-        if (m_Y) N_VDestroy(m_Y);
-        if (m_YErr) N_VDestroy(m_YErr);
-        if (m_constraints) N_VDestroy(m_constraints);
 
-        m_LS = nullptr;
+    void PointSolver::log_step_diagnostics(
-        m_J = nullptr;
+        PointSolverContext* sctx_p,
-        m_Y = nullptr;
-        m_YErr = nullptr;
-        m_constraints = nullptr;
-
-        if (memFree) {
-            if (m_cvode_mem) CVodeFree(&m_cvode_mem);
-            m_cvode_mem = nullptr;
-        }
-        LOG_TRACE_L2(m_logger, "Done Cleaning up cvode resources");
-    }
-
-    void CVODESolverStrategy::set_detailed_step_logging(const bool enabled) {
-        m_detailed_step_logging = enabled;
-    }
-
-    void CVODESolverStrategy::log_step_diagnostics(
         scratch::StateBlob &ctx,
         const CVODEUserData &user_data,
         bool displayJacobianStiffness,
@@ -916,10 +931,10 @@ namespace gridfire::solver {
         sunrealtype hlast, hcur, tcur;
         int qlast;
 
-        utils::check_cvode_flag(CVodeGetLastStep(m_cvode_mem, &hlast), "CVodeGetLastStep");
+        utils::check_cvode_flag(CVodeGetLastStep(sctx_p->cvode_mem, &hlast), "CVodeGetLastStep");
-        utils::check_cvode_flag(CVodeGetCurrentStep(m_cvode_mem, &hcur), "CVodeGetCurrentStep");
+        utils::check_cvode_flag(CVodeGetCurrentStep(sctx_p->cvode_mem, &hcur), "CVodeGetCurrentStep");
-        utils::check_cvode_flag(CVodeGetLastOrder(m_cvode_mem, &qlast), "CVodeGetLastOrder");
+        utils::check_cvode_flag(CVodeGetLastOrder(sctx_p->cvode_mem, &qlast), "CVodeGetLastOrder");
-        utils::check_cvode_flag(CVodeGetCurrentTime(m_cvode_mem, &tcur), "CVodeGetCurrentTime");
+        utils::check_cvode_flag(CVodeGetCurrentTime(sctx_p->cvode_mem, &tcur), "CVodeGetCurrentTime");
 
         nlohmann::json j;
         {
@@ -941,13 +956,13 @@ namespace gridfire::solver {
         // These are the CRITICAL counters for diagnosing your problem
         long int nsteps, nfevals, nlinsetups, netfails, nniters, nconvfails, nsetfails;
 
-        utils::check_cvode_flag(CVodeGetNumSteps(m_cvode_mem, &nsteps), "CVodeGetNumSteps");
+        utils::check_cvode_flag(CVodeGetNumSteps(sctx_p->cvode_mem, &nsteps), "CVodeGetNumSteps");
-        utils::check_cvode_flag(CVodeGetNumRhsEvals(m_cvode_mem, &nfevals), "CVodeGetNumRhsEvals");
+        utils::check_cvode_flag(CVodeGetNumRhsEvals(sctx_p->cvode_mem, &nfevals), "CVodeGetNumRhsEvals");
-        utils::check_cvode_flag(CVodeGetNumLinSolvSetups(m_cvode_mem, &nlinsetups), "CVodeGetNumLinSolvSetups");
+        utils::check_cvode_flag(CVodeGetNumLinSolvSetups(sctx_p->cvode_mem, &nlinsetups), "CVodeGetNumLinSolvSetups");
-        utils::check_cvode_flag(CVodeGetNumErrTestFails(m_cvode_mem, &netfails), "CVodeGetNumErrTestFails");
+        utils::check_cvode_flag(CVodeGetNumErrTestFails(sctx_p->cvode_mem, &netfails), "CVodeGetNumErrTestFails");
-        utils::check_cvode_flag(CVodeGetNumNonlinSolvIters(m_cvode_mem, &nniters), "CVodeGetNumNonlinSolvIters");
+        utils::check_cvode_flag(CVodeGetNumNonlinSolvIters(sctx_p->cvode_mem, &nniters), "CVodeGetNumNonlinSolvIters");
-        utils::check_cvode_flag(CVodeGetNumNonlinSolvConvFails(m_cvode_mem, &nconvfails), "CVodeGetNumNonlinSolvConvFails");
+        utils::check_cvode_flag(CVodeGetNumNonlinSolvConvFails(sctx_p->cvode_mem, &nconvfails), "CVodeGetNumNonlinSolvConvFails");
-        utils::check_cvode_flag(CVodeGetNumLinConvFails(m_cvode_mem, &nsetfails), "CVodeGetNumLinConvFails");
+        utils::check_cvode_flag(CVodeGetNumLinConvFails(sctx_p->cvode_mem, &nsetfails), "CVodeGetNumLinConvFails");
 
 
         {
@@ -975,22 +990,26 @@ namespace gridfire::solver {
         }
 
         // --- 3. Get Estimated Local Errors (Your Original Logic) ---
-        utils::check_cvode_flag(CVodeGetEstLocalErrors(m_cvode_mem, m_YErr), "CVodeGetEstLocalErrors");
+        utils::check_cvode_flag(CVodeGetEstLocalErrors(sctx_p->cvode_mem, sctx_p->YErr), "CVodeGetEstLocalErrors");
 
-        sunrealtype *y_data = N_VGetArrayPointer(m_Y);
+        sunrealtype *y_data = N_VGetArrayPointer(sctx_p->Y);
-        sunrealtype *y_err_data = N_VGetArrayPointer(m_YErr);
+        sunrealtype *y_err_data = N_VGetArrayPointer(sctx_p->YErr);
-
-        const auto absTol = m_config->solver.cvode.absTol;
-        const auto relTol = m_config->solver.cvode.relTol;
 
         std::vector<double> err_ratios;
-        const size_t num_components = N_VGetLength(m_Y);
+        const size_t num_components = N_VGetLength(sctx_p->Y);
         err_ratios.resize(num_components - 1); // Assuming -1 is for Energy or similar
 
         std::vector<double> Y_full(y_data, y_data + num_components - 1);
         std::vector<double> E_full(y_err_data, y_err_data + num_components - 1);
 
-        auto result = diagnostics::report_limiting_species(ctx, *user_data.engine, Y_full, E_full, relTol, absTol, 10, to_file);
+        if (!sctx_p->abs_tol.has_value()) {
+            sctx_p->abs_tol = m_config->solver.cvode.absTol;
+        }
+        if (!sctx_p->rel_tol.has_value()) {
+            sctx_p->rel_tol = m_config->solver.cvode.relTol;
+        }
+
+        auto result = diagnostics::report_limiting_species(ctx, *user_data.engine, Y_full, E_full, sctx_p->rel_tol.value(), sctx_p->abs_tol.value(), 10, to_file);
         if (to_file && result.has_value()) {
             j["Limiting_Species"] = result.value();
         }
@@ -1003,8 +1022,9 @@ namespace gridfire::solver {
             0.0
         );
 
+
         for (size_t i = 0; i < num_components - 1; i++) {
-            const double weight = relTol * std::abs(y_data[i]) + absTol;
+            const double weight = sctx_p->rel_tol.value() * std::abs(y_data[i]) + sctx_p->abs_tol.value();
             if (weight == 0.0) {
                 err_ratios[i] = 0.0; // Avoid division by zero
                 continue;
@@ -1013,11 +1033,11 @@ namespace gridfire::solver {
             err_ratios[i] = err_ratio;
         }
 
-        fourdst::composition::Composition composition(user_data.engine->getNetworkSpecies(*m_scratch_blob), Y_full);
+        fourdst::composition::Composition composition(user_data.engine->getNetworkSpecies(*sctx_p->engine_ctx), Y_full);
-        fourdst::composition::Composition collectedComposition = user_data.engine->collectComposition(*m_scratch_blob, composition, user_data.T9, user_data.rho);
+        fourdst::composition::Composition collectedComposition = user_data.engine->collectComposition(*sctx_p->engine_ctx, composition, user_data.T9, user_data.rho);
 
-        auto destructionTimescales = user_data.engine->getSpeciesDestructionTimescales(*m_scratch_blob, collectedComposition, user_data.T9, user_data.rho);
+        auto destructionTimescales = user_data.engine->getSpeciesDestructionTimescales(*sctx_p->engine_ctx, collectedComposition, user_data.T9, user_data.rho);
-        auto netTimescales = user_data.engine->getSpeciesTimescales(*m_scratch_blob, collectedComposition, user_data.T9, user_data.rho);
+        auto netTimescales = user_data.engine->getSpeciesTimescales(*sctx_p->engine_ctx, collectedComposition, user_data.T9, user_data.rho);
 
         bool timescaleOkay = false;
         if (destructionTimescales && netTimescales) timescaleOkay = true;
@@ -1037,7 +1057,7 @@ namespace gridfire::solver {
                 if (destructionTimescales.value().contains(sp)) destructionTimescales_list.emplace_back(destructionTimescales.value().at(sp));
                 else destructionTimescales_list.emplace_back(std::numeric_limits<double>::infinity());
 
-                speciesStatus_list.push_back(SpeciesStatus_to_string(user_data.engine->getSpeciesStatus(*m_scratch_blob, sp)));
+                speciesStatus_list.push_back(SpeciesStatus_to_string(user_data.engine->getSpeciesStatus(*sctx_p->engine_ctx, sp)));
             }
 
             utils::Column<fourdst::atomic::Species> speciesColumn("Species", species_list);

src/lib/solver/strategies/SpectralSolverStrategy.cpp

@@ -1,770 +0,0 @@
-#include "gridfire/solver/strategies/SpectralSolverStrategy.h"
-
-#include <sunlinsol/sunlinsol_dense.h>
-
-#include "gridfire/utils/sundials.h"
-
-#include "quill/LogMacros.h"
-#include "sunmatrix/sunmatrix_dense.h"
-
-namespace {
-    std::pair<size_t, std::vector<double>> evaluate_bspline(
-        double x,
-        const gridfire::solver::SpectralSolverStrategy::SplineBasis& basis
-    ) {
-        const int p = basis.degree;
-        const std::vector<double>& t = basis.knots;
-
-        auto it = std::ranges::upper_bound(t, x);
-        size_t i = std::distance(t.begin(), it) - 1;
-
-        if (i < static_cast<size_t>(p)) i = p;
-        if (i >= t.size() - 1 - p) i = t.size() - 2 - p;
-
-        if (x >= t.back()) {
-            i = t.size() - p - 2;
-        }
-
-        // Cox-de Boor algorithm
-        std::vector<double> N(p + 1);
-        std::vector<double> left(p + 1);
-        std::vector<double> right(p + 1);
-
-        N[0] = 1.0;
-
-        for (int j = 1; j <= p; ++j) {
-            left[j] = x - t[i + 1 - j];
-            right[j] = t[i + j] - x;
-            double saved = 0.0;
-
-            for (int r = 0; r < j; ++r) {
-                double temp = N[r] / (right[r + 1] + left[j - r]);
-                N[r] = saved + right[r + 1] * temp;
-
-                saved = left[j - r] * temp;
-            }
-            N[j] = saved;
-        }
-        return {i - p, N};
-    }
-}
-
-namespace gridfire::solver {
-
-    SpectralSolverStrategy::SpectralSolverStrategy(engine::DynamicEngine& engine) : MultiZoneNetworkSolverStrategy<engine::DynamicEngine> (engine) {
-        LOG_INFO(m_logger, "Initializing SpectralSolverStrategy");
-
-        utils::check_sundials_flag(SUNContext_Create(SUN_COMM_NULL, &m_sun_ctx), "SUNContext_Create", utils::SUNDIALS_RET_CODE_TYPES::CVODE);
-
-        m_absTol = m_config->solver.spectral.absTol;
-        m_relTol = m_config->solver.spectral.relTol;
-
-        LOG_INFO(m_logger, "SpectralSolverStrategy initialized successfully");
-    }
-
-    SpectralSolverStrategy::~SpectralSolverStrategy() {
-        LOG_INFO(m_logger, "Destroying SpectralSolverStrategy");
-
-
-        if (m_cvode_mem) {
-            CVodeFree(&m_cvode_mem);
-            m_cvode_mem = nullptr;
-        }
-
-        if (m_LS) SUNLinSolFree(m_LS);
-        if (m_J) SUNMatDestroy(m_J);
-        if (m_Y) N_VDestroy(m_Y);
-        if (m_constraints) N_VDestroy(m_constraints);
-
-        if (m_sun_ctx) {
-            SUNContext_Free(&m_sun_ctx);
-            m_sun_ctx = nullptr;
-        }
-
-        if (m_T_coeffs) N_VDestroy(m_T_coeffs);
-        if (m_rho_coeffs) N_VDestroy(m_rho_coeffs);
-
-        LOG_INFO(m_logger, "SpectralSolverStrategy destroyed successfully");
-    }
-
-    ////////////////////////////////////////////////////////////////////////////////
-    /// Main Evaluation Loop
-    /////////////////////////////////////////////////////////////////////////////////
-
-    std::vector<NetOut> SpectralSolverStrategy::evaluate(const std::vector<NetIn>& netIns, const std::vector<double>& mass_coords) {
-        LOG_INFO(m_logger, "Starting spectral solver evaluation for {} zones", netIns.size());
-
-        assert(std::ranges::all_of(netIns, [&netIns](const NetIn& in) { return in.tMax == netIns[0].tMax; }) && "All NetIn entries must have the same tMax for spectral solver evaluation.");
-
-        std::vector<NetIn> updatedNetIns = netIns;
-        for (auto& netIn : updatedNetIns) {
-            netIn.composition = m_engine.update(netIn);
-        }
-
-
-        /////////////////////////////////////
-        /// Evaluate the monitor function ///
-        /////////////////////////////////////
-
-        const std::vector<double> monitor_function = evaluate_monitor_function(updatedNetIns);
-        m_current_basis = generate_basis_from_monitor(monitor_function, mass_coords);
-
-        size_t num_basis_funcs = m_current_basis.knots.size() - m_current_basis.degree - 1;
-
-        std::vector<BasisEval> shell_cache(updatedNetIns.size());
-        for (size_t shellID = 0; shellID < shell_cache.size(); ++shellID) {
-            auto [start, phi] = evaluate_bspline(mass_coords[shellID], m_current_basis);
-            shell_cache[shellID] = {.start_idx=start, .phi=phi};
-        }
-
-        DenseLinearSolver proj_solver(num_basis_funcs, m_sun_ctx);
-        proj_solver.init_from_cache(num_basis_funcs, shell_cache);
-
-        if (m_T_coeffs) N_VDestroy(m_T_coeffs);
-        m_T_coeffs = N_VNew_Serial(static_cast<sunindextype>(num_basis_funcs), m_sun_ctx);
-        project_specific_variable(updatedNetIns, mass_coords, shell_cache, proj_solver, m_T_coeffs, 0, [](const NetIn& s) { return s.temperature; }, true);
-
-        if (m_rho_coeffs) N_VDestroy(m_rho_coeffs);
-        m_rho_coeffs = N_VNew_Serial(static_cast<sunindextype>(num_basis_funcs), m_sun_ctx);
-        project_specific_variable(updatedNetIns, mass_coords, shell_cache, proj_solver, m_rho_coeffs, 0, [](const NetIn& s) { return s.density; }, true);
-
-        size_t num_species = m_engine.getNetworkSpecies().size();
-        size_t current_offset = 0;
-
-        size_t total_coefficients = num_basis_funcs * (num_species + 1);
-
-        if (m_Y) N_VDestroy(m_Y);
-        if (m_constraints) N_VDestroy(m_constraints);
-
-        m_Y = N_VNew_Serial(static_cast<sunindextype>(total_coefficients), m_sun_ctx);
-        m_constraints = N_VClone(m_Y);
-        N_VConst(0.0, m_constraints); // For now no constraints on coefficients
-
-        for (const auto& sp : m_engine.getNetworkSpecies()) {
-            project_specific_variable(
-                updatedNetIns,
-                mass_coords,
-                shell_cache,
-                proj_solver,
-                m_Y,
-                current_offset,
-                [&sp](const NetIn& s) { return s.composition.getMolarAbundance(sp); },
-                false
-            );
-            current_offset += num_basis_funcs;
-        }
-
-        sunrealtype* y_data = N_VGetArrayPointer(m_Y);
-        const size_t energy_offset = num_species * num_basis_funcs;
-
-        assert(energy_offset == current_offset && "Energy offset calculation mismatch in spectral solver initialization.");
-
-        for (size_t i = 0; i < num_basis_funcs; ++i) {
-            y_data[energy_offset + i] = 0.0;
-        }
-
-        DenseLinearSolver mass_solver(num_basis_funcs, m_sun_ctx);
-        mass_solver.init_from_basis(num_basis_funcs, m_current_basis);
-
-        /////////////////////////////////////
-        /// CVODE Initialization          ///
-        /////////////////////////////////////
-
-        CVODEUserData data;
-        data.solver_instance = this;
-        data.engine = &m_engine;
-        data.mass_matrix_solver_instance = &mass_solver;
-        data.basis = &m_current_basis;
-
-        const double absTol = m_absTol.value_or(1e-10);
-        const double relTol = m_relTol.value_or(1e-6);
-
-        const bool size_changed = m_last_size != total_coefficients;
-        m_last_size = total_coefficients;
-
-        if (m_cvode_mem == nullptr || size_changed) {
-            if (m_cvode_mem) {
-                CVodeFree(&m_cvode_mem);
-                m_cvode_mem = nullptr;
-            }
-            if (m_LS) {
-                SUNLinSolFree(m_LS);
-                m_LS = nullptr;
-            }
-            if (m_J) {
-                SUNMatDestroy(m_J);
-                m_J = nullptr;
-            }
-
-            m_cvode_mem = CVodeCreate(CV_BDF, m_sun_ctx);
-            utils::check_sundials_flag(m_cvode_mem == nullptr ? -1 : 0, "CVodeCreate", utils::SUNDIALS_RET_CODE_TYPES::CVODE);
-
-            utils::check_sundials_flag(CVodeInit(m_cvode_mem, cvode_rhs_wrapper, 0.0, m_Y), "CVodeInit", utils::SUNDIALS_RET_CODE_TYPES::CVODE);
-            m_J = SUNDenseMatrix(static_cast<sunindextype>(total_coefficients), static_cast<sunindextype>(total_coefficients), m_sun_ctx);
-            m_LS = SUNLinSol_Dense(m_Y, m_J, m_sun_ctx);
-            utils::check_sundials_flag(CVodeSetLinearSolver(m_cvode_mem, m_LS, m_J), "CVodeSetLinearSolver", utils::SUNDIALS_RET_CODE_TYPES::CVODE);
-
-            // For now, we will not attach a Jacobian function, using finite differences
-        } else {
-            utils::check_sundials_flag(CVodeReInit(m_cvode_mem, 0.0, m_Y), "CVodeReInit", utils::SUNDIALS_RET_CODE_TYPES::CVODE);
-        }
-
-        utils::check_sundials_flag(CVodeSStolerances(m_cvode_mem, relTol, absTol), "CVodeSStolerances", utils::SUNDIALS_RET_CODE_TYPES::CVODE);
-        utils::check_sundials_flag(CVodeSetUserData(m_cvode_mem, &data), "CVodeSetUserData", utils::SUNDIALS_RET_CODE_TYPES::CVODE);
-
-        /////////////////////////////////////
-        /// Time Integration Loop         ///
-        /////////////////////////////////////
-
-        const double target_time = updatedNetIns[0].tMax;
-        double current_time = 0.0;
-
-        while (current_time < target_time) {
-            int flag = CVode(m_cvode_mem, target_time, m_Y, &current_time, CV_ONE_STEP);
-            utils::check_sundials_flag(flag, "CVode", utils::SUNDIALS_RET_CODE_TYPES::CVODE);
-
-            std::println("Advanced to time: {:10.4e} / {:10.4e}", current_time, target_time);
-        }
-
-        std::vector<NetOut> results = reconstruct_solution(updatedNetIns, mass_coords, m_Y, m_current_basis, target_time);
-        return results;
-    }
-
-    void SpectralSolverStrategy::set_callback(const std::any &callback) {
-        m_callback = std::any_cast<TimestepCallback>(callback);
-    }
-
-    std::vector<std::tuple<std::string, std::string>> SpectralSolverStrategy::describe_callback_context() const {
-        throw std::runtime_error("SpectralSolverStrategy does not yet implement describe_callback_context.");
-    }
-
-    bool SpectralSolverStrategy::get_stdout_logging_enabled() const {
-        return m_stdout_logging_enabled;
-    }
-
-    void SpectralSolverStrategy::set_stdout_logging_enabled(bool logging_enabled) {
-        m_stdout_logging_enabled = logging_enabled;
-    }
-
-    ////////////////////////////////////////////////////////////////////////////////
-    /// Static Wrappers for SUNDIALS Callbacks
-    ////////////////////////////////////////////////////////////////////////////////
-
-    int SpectralSolverStrategy::cvode_rhs_wrapper(
-        const sunrealtype t,
-        const N_Vector y_coeffs,
-        const N_Vector ydot_coeffs,
-        void *user_data
-    ) {
-        auto *data = static_cast<CVODEUserData*>(user_data);
-        const auto *instance = data->solver_instance;
-
-        try {
-            return instance -> calculate_rhs(t, y_coeffs, ydot_coeffs, data);
-        } catch (const std::exception& e) {
-            LOG_CRITICAL(instance->m_logger, "Uncaught exception in Spectral Solver RHS wrapper at time {}: {}", t, e.what());
-            return -1;
-        } catch (...) {
-            LOG_CRITICAL(instance->m_logger, "Unknown uncaught exception in Spectral Solver RHS wrapper at time {}", t);
-            return -1;
-        }
-    }
-
-    int SpectralSolverStrategy::cvode_jac_wrapper(
-        const sunrealtype t,
-        const N_Vector y,
-        const N_Vector ydot,
-        const SUNMatrix J,
-        void *user_data,
-        const N_Vector tmp1,
-        const N_Vector tmp2,
-        const N_Vector tmp3
-    ) {
-        const auto *data = static_cast<CVODEUserData*>(user_data);
-        const auto *instance = data->solver_instance;
-
-        try {
-            LOG_WARNING_LIMIT_EVERY_N(1000, instance->m_logger, "Analytic Jacobian Generation not yet implemented, using finite difference approximation");
-            return 0;
-        } catch (const std::exception& e) {
-            LOG_CRITICAL(instance->m_logger, "Uncaught exception in Spectral Solver Jacobian wrapper at time {}: {}", t, e.what());
-            return -1;
-        } catch (...) {
-            LOG_CRITICAL(instance->m_logger, "Unknown uncaught exception in Spectral Solver Jacobian wrapper at time {}", t);
-            return -1;
-        }
-    }
-
-    ////////////////////////////////////////////////////////////////////////////////
-    /// RHS implementation
-    ////////////////////////////////////////////////////////////////////////////////
-
-    int SpectralSolverStrategy::calculate_rhs(
-        sunrealtype t,
-        N_Vector y_coeffs,
-        N_Vector ydot_coeffs,
-        CVODEUserData* data
-    ) const {
-        const auto& basis = m_current_basis;
-        DenseLinearSolver* mass_solver = data->mass_matrix_solver_instance;
-        const auto& species_list = m_engine.getNetworkSpecies();
-
-        const size_t num_basis_funcs = basis.knots.size() - basis.degree - 1;
-        const size_t num_species = species_list.size();
-
-        sunrealtype* rhs_data = N_VGetArrayPointer(ydot_coeffs);
-        N_VConst(0.0, ydot_coeffs);
-
-        // PERF: In future we can use openMP to parallelize over these basis functions once we make the engines thread safe
-        for (size_t q = 0; q < basis.quadrature_nodes.size(); ++q) {
-            double w_q = basis.quadrature_weights[q];
-
-            const auto& [start_idx, phi] = basis.quad_evals[q];
-
-            GridPoint gp = reconstruct_at_quadrature(y_coeffs, q, basis);
-            std::expected<engine::StepDerivatives<double>, engine::EngineStatus> results = m_engine.calculateRHSAndEnergy(gp.composition, gp.T9, gp.rho, false);
-
-            // PERF: When switching to parallel execution, we will need to protect this section with a mutex or use atomic operations since we cannot throw safely from multiple threads
-            if (!results) {
-                LOG_CRITICAL(m_logger, "Engine failed to calculate RHS at time {}: {}", t, EngineStatus_to_string(results.error()));
-                return -1;
-            }
-
-            const auto& [dydt, eps_nuc, contributions, nu_loss, nu_flux] = results.value();
-
-            for (size_t s = 0; s < num_species; ++s) {
-                double rate = dydt.at(species_list[s]);
-                size_t species_offset = s * num_basis_funcs;
-
-                for (size_t k = 0; k < phi.size(); ++k) {
-                    size_t global_idx = species_offset + start_idx + k;
-                    rhs_data[global_idx] += w_q * phi[k] * rate;
-                }
-            }
-
-            size_t energy_offset = num_species * num_basis_funcs;
-
-            for (size_t k = 0; k < phi.size(); ++k) {
-                size_t global_idx = energy_offset + start_idx + k;
-                rhs_data[global_idx] += eps_nuc * w_q * phi[k];
-            }
-        }
-
-        size_t total_vars = num_species + 1;
-        mass_solver->solve_inplace(ydot_coeffs, total_vars, num_basis_funcs);
-
-        return 0;
-    }
-
-
-    ////////////////////////////////////////////////////////////////////////////////
-    /// Spectral Utilities
-    ///     These include basis generation, monitor function evaluation
-    ///     projection and reconstruction routines.
-    ////////////////////////////////////////////////////////////////////////////////
-
-    std::vector<double> SpectralSolverStrategy::evaluate_monitor_function(const std::vector<NetIn>& current_shells) const {
-        const size_t n_shells = current_shells.size();
-        if (n_shells < 3) {
-            return std::vector<double>(n_shells, 1.0); // NOLINT(*-return-braced-init-list)
-        }
-
-        std::vector<double> M(n_shells, 1.0);
-
-        auto accumulate_variable = [&](auto getter, double weight, bool use_log) {
-            std::vector<double> data(n_shells);
-            double min_val = std::numeric_limits<double>::max();
-            double max_val = std::numeric_limits<double>::lowest();
-
-            for (size_t i = 0 ; i < n_shells; ++i) {
-                double val = getter(current_shells[i]);
-                if (use_log) {
-                    val = std::log10(std::max(val, 1e-100));
-                }
-
-                data[i] = val;
-
-                if (val < min_val) min_val = val;
-                if (val > max_val) max_val = val;
-            }
-
-            const double scale = max_val - min_val;
-            if (scale < 1e-10) return;
-
-            for (size_t i = 1; i < n_shells - 1; ++i) {
-                const double v_prev = data[i-1];
-                const double v_curr = data[i];
-                const double v_next = data[i+1];
-
-                // Finite difference estimates for first and second derivatives
-                double d1 = std::abs(v_next - v_prev) / 2.0;
-                double d2 = std::abs(v_next - 2.0 * v_curr + v_prev);
-
-                d1 /= scale;
-                d2 /= scale;
-
-                const double alpha = m_config->solver.spectral.monitorFunction.alpha;
-                const double beta = m_config->solver.spectral.monitorFunction.beta;
-
-                M[i] += weight * (alpha * d1 + beta * d2);
-            }
-        };
-
-        const double structure_weight = m_config->solver.spectral.monitorFunction.structure_weight;
-        double abundance_weight = m_config->solver.spectral.monitorFunction.abundance_weight;
-        accumulate_variable([](const NetIn& s) { return s.temperature; }, structure_weight, true);
-        accumulate_variable([](const NetIn& s) { return s.density; }, structure_weight, true);
-
-        for (const auto& sp : m_engine.getNetworkSpecies()) {
-            accumulate_variable([&sp](const NetIn& s) { return s.composition.getMolarAbundance(sp); }, abundance_weight, false);
-        }
-
-        //////////////////////////////
-        /// Smoothing the Monitor  ///
-        //////////////////////////////
-
-        std::vector<double> M_smooth = M;
-        for (size_t i = 1; i < n_shells - 1; ++i) {
-            M_smooth[i] = (M[i-1] + 2.0 * M[i] + M[i+1]) / 4.0;
-        }
-
-        M_smooth[0] = M_smooth[1];
-        M_smooth[n_shells-1] = M_smooth[n_shells-2];
-
-        return M_smooth;
-
-    }
-
-    SpectralSolverStrategy::SplineBasis SpectralSolverStrategy::generate_basis_from_monitor(
-        const std::vector<double>& monitor_values,
-        const std::vector<double>& mass_coordinates
-    ) const {
-        SplineBasis basis;
-        basis.degree = 3; // Cubic Spline
-
-        const size_t n_shells = monitor_values.size();
-
-        std::vector<double> I(n_shells, 0.0);
-        double current_integral = 0.0;
-
-        for (size_t i = 1; i < n_shells; ++i) {
-            const double dx = mass_coordinates[i] - mass_coordinates[i-1];
-            double dI = 0.5 * (monitor_values[i] + monitor_values[i-1]) * dx;
-
-            dI = std::max(dI, 1e-30);
-            current_integral += dI;
-            I[i] = current_integral;
-        }
-
-        const double total_integral = I.back();
-        for (size_t i = 0; i < n_shells; ++i) {
-            I[i] /= total_integral;
-        }
-
-        const size_t num_elements = m_config->solver.spectral.basis.num_elements;
-        basis.knots.reserve(num_elements + 1 + 2 * basis.degree);
-
-        // Note that these imply that mass_coordinates must be sorted in increasing order
-        double min_mass = mass_coordinates.front();
-        double max_mass = mass_coordinates.back();
-
-        for (int i = 0; i < basis.degree; ++i) {
-            basis.knots.push_back(min_mass);
-        }
-
-        for (size_t k = 1; k < num_elements; ++k) {
-            double target_I = static_cast<double>(k) / static_cast<double>(num_elements);
-
-            auto it = std::ranges::lower_bound(I, target_I);
-            size_t idx = std::distance(I.begin(), it);
-
-            if (idx == 0) idx = 1;
-            if (idx >= n_shells) idx = n_shells - 1;
-
-            double I0 = I[idx-1];
-            double I1 = I[idx];
-            double m0 = mass_coordinates[idx-1];
-            double m1 = mass_coordinates[idx];
-
-            double fraction = (target_I - I0) / (I1 - I0);
-            double knot_location = m0 + fraction * (m1 - m0);
-
-            basis.knots.push_back(knot_location);
-        }
-
-        for (int i = 0; i < basis.degree; ++i) {
-            basis.knots.push_back(max_mass);
-        }
-
-        constexpr double sqrt_3_over_5 = 0.77459666924;
-        constexpr double five_over_nine = 5.0 / 9.0;
-        constexpr double eight_over_nine = 8.0 / 9.0;
-        static constexpr std::array<double, 3> gl_nodes = {-sqrt_3_over_5, 0.0, sqrt_3_over_5};
-        static constexpr std::array<double, 3> gl_weights = {five_over_nine, eight_over_nine, five_over_nine};
-
-        basis.quadrature_nodes.clear();
-        basis.quadrature_weights.clear();
-
-        for (size_t i = basis.degree; i < basis.knots.size() - basis.degree - 1; ++i) {
-            double a = basis.knots[i];
-            double b = basis.knots[i+1];
-
-            if ( b - a < 1e-14) continue;
-
-            double mid = 0.5 * (a + b);
-            double half_width = 0.5 * (b - a);
-
-            for (size_t j = 0; j < gl_nodes.size(); ++j) {
-                double phys_node = mid + gl_nodes[j] * half_width;
-                double phys_weight = gl_weights[j] * half_width;
-
-                basis.quadrature_nodes.push_back(phys_node);
-                basis.quadrature_weights.push_back(phys_weight);
-
-                auto [start, phi] = evaluate_bspline(phys_node, basis);
-                basis.quad_evals.push_back({start, phi});
-            }
-        }
-
-        return basis;
-    }
-
-
-    SpectralSolverStrategy::GridPoint SpectralSolverStrategy::reconstruct_at_quadrature(
-        const N_Vector y_coeffs,
-        const size_t quad_index,
-        const SplineBasis &basis
-    ) const {
-        auto [start_idx, vals] = basis.quad_evals[quad_index];
-
-        const sunrealtype* T_ptr = N_VGetArrayPointer(m_T_coeffs);
-        const sunrealtype* rho_ptr = N_VGetArrayPointer(m_rho_coeffs);
-        const sunrealtype* y_data = N_VGetArrayPointer(y_coeffs);
-
-        const size_t num_basis_funcs = basis.knots.size() - basis.degree - 1;
-        const std::vector<fourdst::atomic::Species>& species_list = m_engine.getNetworkSpecies();
-        const size_t num_species = species_list.size();
-
-        double logT = 0.0;
-        double logRho = 0.0;
-
-        for (size_t k = 0; k < vals.size(); ++k) {
-            size_t idx = start_idx + k;
-            logT += T_ptr[idx] * vals[k];
-            logRho += rho_ptr[idx] * vals[k];
-        }
-
-        GridPoint result;
-        result.T9 = std::pow(10.0, logT) / 1e9;
-        result.rho = std::pow(10.0, logRho);
-
-        for (size_t s = 0; s < num_species; ++s) {
-            const fourdst::atomic::Species& species = species_list[s];
-            double abundance = 0.0;
-            const size_t offset = s * num_basis_funcs;
-
-            for (size_t k = 0; k < vals.size(); ++k) {
-                abundance += y_data[offset + start_idx + k] * vals[k];
-            }
-
-            // Note: It is possible this will lead to a loss of mass conservation. In future we may want to implement a better way to handle this.
-            if (abundance < 0.0) abundance = 0.0;
-
-            result.composition.registerSpecies(species);
-            result.composition.setMolarAbundance(species, abundance);
-        }
-
-        return result;
-    }
-
-    std::vector<NetOut> SpectralSolverStrategy::reconstruct_solution(
-        const std::vector<NetIn>& original_inputs,
-        const std::vector<double>& mass_coordinates,
-        const N_Vector final_coeffs,
-        const SplineBasis& basis,
-        const double dt
-    ) const {
-        const size_t n_shells = original_inputs.size();
-        const size_t num_basis_funcs = basis.knots.size() - basis.degree - 1;
-
-        std::vector<NetOut> outputs;
-        outputs.reserve(n_shells);
-
-        const sunrealtype* c_data = N_VGetArrayPointer(final_coeffs);
-
-        const auto& species_list = m_engine.getNetworkSpecies();
-        for (size_t shellID = 0; shellID < n_shells; ++shellID) {
-            const double x = mass_coordinates[shellID];
-
-            auto [start_idx, vals] = evaluate_bspline(x, basis);
-
-            auto reconstruct_var = [&](const size_t coeff_offset) -> double {
-                double result = 0.0;
-                for (size_t i = 0; i < vals.size(); ++i) {
-                    result += c_data[coeff_offset + start_idx + i] * vals[i];
-                }
-                return result;
-            };
-
-            fourdst::composition::Composition comp_new;
-
-            for (size_t s_idx = 0; s_idx < species_list.size(); ++s_idx) {
-                const fourdst::atomic::Species& sp = species_list[s_idx];
-                comp_new.registerSpecies(sp);
-
-                const size_t current_offset = s_idx * num_basis_funcs;
-                double Y_val = reconstruct_var(current_offset);
-
-                if (Y_val < 0.0 && Y_val > -1.0e-16) {
-                    Y_val = 0.0;
-                }
-
-                if (Y_val < 0.0 && Y_val > -1e-16) Y_val = 0.0;
-                if (Y_val >= 0.0) {
-                    comp_new.setMolarAbundance(sp, Y_val);
-                }
-            }
-
-            const double energy = reconstruct_var(species_list.size() * num_basis_funcs);
-
-            NetOut netOut;
-            netOut.composition = comp_new;
-            netOut.energy = energy;
-            netOut.num_steps = -1; // Not tracked in spectral solver
-
-            outputs.push_back(std::move(netOut));
-        }
-
-        return outputs;
-    }
-
-    void SpectralSolverStrategy::project_specific_variable(
-        const std::vector<NetIn> &current_shells,
-        const std::vector<double> &mass_coordinates,
-        const std::vector<BasisEval> &shell_cache,
-        const DenseLinearSolver &linear_solver,
-        N_Vector output_vec,
-        size_t output_offset,
-        const std::function<double(const NetIn &)> &getter,
-        bool use_log
-    ) {
-        const size_t n_shells = current_shells.size();
-
-        sunrealtype* out_ptr = N_VGetArrayPointer(output_vec);
-        size_t basis_size = N_VGetLength(linear_solver.temp_vector);
-
-        for (size_t i = 0; i < basis_size; ++i ) {
-            out_ptr[output_offset + i] = 0.0;
-        }
-
-        for (size_t shellID = 0; shellID < n_shells; ++shellID) {
-            double val = getter(current_shells[shellID]);
-            if (use_log) val = std::log10(std::max(val, 1e-100));
-
-            const auto& eval = shell_cache[shellID];
-
-            for (size_t i = 0; i < eval.phi.size(); ++i) {
-                out_ptr[output_offset + eval.start_idx + i] += val * eval.phi[i];
-            }
-        }
-
-        sunrealtype* tmp_data = N_VGetArrayPointer(linear_solver.temp_vector);
-        for (size_t i = 0; i < basis_size; ++i) tmp_data[i] = out_ptr[output_offset + i];
-
-        SUNLinSolSolve(linear_solver.LS, linear_solver.A, linear_solver.temp_vector, linear_solver.temp_vector, 0.0);
-
-        for (size_t i = 0; i < basis_size; ++i) out_ptr[output_offset + i] = tmp_data[i];
-    }
-
-    ///////////////////////////////////////////////////////////////////////////////
-    /// SpectralSolverStrategy::MassMatrixSolver Implementation
-    ///////////////////////////////////////////////////////////////////////////////
-
-    SpectralSolverStrategy::DenseLinearSolver::DenseLinearSolver(
-        size_t size,
-        SUNContext sun_ctx
-    ) : ctx(sun_ctx) {
-        A = SUNDenseMatrix(size, size, sun_ctx);
-        temp_vector = N_VNew_Serial(size, sun_ctx);
-
-        LS = SUNLinSol_Dense(temp_vector, A, sun_ctx);
-
-        if (!A || !temp_vector || !LS) {
-            throw std::runtime_error("Failed to create MassMatrixSolver components.");
-        }
-
-        zero();
-    }
-
-    SpectralSolverStrategy::DenseLinearSolver::~DenseLinearSolver() {
-        if (LS) SUNLinSolFree(LS);
-        if (A) SUNMatDestroy(A);
-        if (temp_vector) N_VDestroy(temp_vector);
-    }
-
-    void SpectralSolverStrategy::DenseLinearSolver::zero() const {
-        SUNMatZero(A);
-    }
-
-    void SpectralSolverStrategy::DenseLinearSolver::init_from_cache(
-        const size_t num_basis_funcs,
-        const std::vector<BasisEval> &shell_cache
-    ) const {
-        sunrealtype* a_data = SUNDenseMatrix_Data(A);
-        for (const auto&[start_idx, phi] : shell_cache) {
-            for (size_t i = 0; i < phi.size(); ++i) {
-                const size_t row = start_idx + i;
-
-                for (size_t j = 0; j < phi.size(); ++j) {
-                    const size_t col = start_idx + j;
-
-                    a_data[col * num_basis_funcs + row] += phi[i] * phi[j];
-                }
-            }
-        }
-        setup();
-    }
-
-    void SpectralSolverStrategy::DenseLinearSolver::init_from_basis(
-        const size_t num_basis_funcs,
-        const SplineBasis &basis
-    ) const {
-        sunrealtype* m_data = SUNDenseMatrix_Data(A);
-        for (size_t q = 0; q < basis.quadrature_nodes.size(); ++q) {
-            double w_q = basis.quadrature_weights[q];
-            const auto& eval = basis.quad_evals[q];
-
-            for (size_t i = 0; i < eval.phi.size(); ++i) {
-                size_t row = eval.start_idx + i;
-                for (size_t j = 0; j < eval.phi.size(); ++j) {
-                    size_t col = eval.start_idx + j;
-                    m_data[col * num_basis_funcs + row] += w_q * eval.phi[j] * eval.phi[i];
-                }
-            }
-        }
-        setup();
-    }
-
-    void SpectralSolverStrategy::DenseLinearSolver::setup() const {
-        utils::check_sundials_flag(SUNLinSolSetup(LS, A), "SUNLinSolSetup - Mass Matrix Solver", utils::SUNDIALS_RET_CODE_TYPES::CVODE);
-    }
-
-    // ReSharper disable once CppMemberFunctionMayBeConst
-    void SpectralSolverStrategy::DenseLinearSolver::solve_inplace(const N_Vector x, const size_t num_vars, const size_t basis_size) const {
-        sunrealtype* x_data = N_VGetArrayPointer(x);
-        sunrealtype* tmp_data = N_VGetArrayPointer(temp_vector);
-
-        for (size_t v = 0; v < num_vars; ++v) {
-            const size_t offset = v * basis_size;
-
-            for (size_t i = 0; i < basis_size; ++i) {
-                tmp_data[i] = x_data[offset + i];
-            }
-            SUNLinSolSolve(LS, A, temp_vector, temp_vector, 0.0);
-
-            for (size_t i = 0; i < basis_size; ++i) {
-                x_data[offset + i] = tmp_data[i];
-            }
-        }
-    }
-}

src/lib/solver/strategies/triggers/engine_partitioning_trigger.cpp

@@ -1,5 +1,5 @@
 #include "gridfire/solver/strategies/triggers/engine_partitioning_trigger.h"
-#include "gridfire/solver/strategies/CVODE_solver_strategy.h"
+#include "gridfire/solver/strategies/PointSolver.h"
 
 #include "gridfire/trigger/trigger_logical.h"
 #include "gridfire/trigger/trigger_abstract.h"
@@ -28,7 +28,7 @@ namespace gridfire::trigger::solver::CVODE {
         }
     }
 
-    bool SimulationTimeTrigger::check(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const {
+    bool SimulationTimeTrigger::check(const gridfire::solver::PointSolverTimestepContext &ctx) const {
         if (ctx.t - m_last_trigger_time >= m_interval) {
             m_hits++;
             LOG_TRACE_L2(m_logger, "SimulationTimeTrigger triggered at t = {}, last trigger time was {}, delta = {}", ctx.t, m_last_trigger_time, m_last_trigger_time_delta);
@@ -38,7 +38,7 @@ namespace gridfire::trigger::solver::CVODE {
         return false;
     }
 
-    void SimulationTimeTrigger::update(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) {
+    void SimulationTimeTrigger::update(const gridfire::solver::PointSolverTimestepContext &ctx) {
         if (check(ctx)) {
             m_last_trigger_time_delta = (ctx.t - m_last_trigger_time) - m_interval;
             m_last_trigger_time = ctx.t;
@@ -47,7 +47,7 @@ namespace gridfire::trigger::solver::CVODE {
     }
 
     void SimulationTimeTrigger::step(
-        const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx
+        const gridfire::solver::PointSolverTimestepContext &ctx
     ) {
         // --- SimulationTimeTrigger::step does nothing and is intentionally left blank --- //
     }
@@ -65,7 +65,7 @@ namespace gridfire::trigger::solver::CVODE {
         return "Simulation Time Trigger";
     }
 
-    TriggerResult SimulationTimeTrigger::why(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const {
+    TriggerResult SimulationTimeTrigger::why(const gridfire::solver::PointSolverTimestepContext &ctx) const {
         TriggerResult result;
         result.name = name();
         if (check(ctx)) {
@@ -99,18 +99,18 @@ namespace gridfire::trigger::solver::CVODE {
         }
     }
 
-    bool OffDiagonalTrigger::check(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const {
+    bool OffDiagonalTrigger::check(const gridfire::solver::PointSolverTimestepContext &ctx) const {
         //TODO : This currently does nothing
         return false;
     }
 
 
-    void OffDiagonalTrigger::update(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) {
+    void OffDiagonalTrigger::update(const gridfire::solver::PointSolverTimestepContext &ctx) {
         m_updates++;
     }
 
     void OffDiagonalTrigger::step(
-        const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx
+        const gridfire::solver::PointSolverTimestepContext &ctx
     ) {
         // --- OffDiagonalTrigger::step does nothing and is intentionally left blank --- //
     }
@@ -126,7 +126,7 @@ namespace gridfire::trigger::solver::CVODE {
         return "Off-Diagonal Trigger";
     }
 
-    TriggerResult OffDiagonalTrigger::why(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const {
+    TriggerResult OffDiagonalTrigger::why(const gridfire::solver::PointSolverTimestepContext &ctx) const {
         TriggerResult result;
         result.name = name();
 
@@ -173,7 +173,7 @@ namespace gridfire::trigger::solver::CVODE {
         }
     }
 
-    bool TimestepCollapseTrigger::check(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const {
+    bool TimestepCollapseTrigger::check(const gridfire::solver::PointSolverTimestepContext &ctx) const {
         if (m_timestep_window.size() < m_windowSize) {
             m_misses++;
             return false;
@@ -201,13 +201,13 @@ namespace gridfire::trigger::solver::CVODE {
         return false;
     }
 
-    void TimestepCollapseTrigger::update(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) {
+    void TimestepCollapseTrigger::update(const gridfire::solver::PointSolverTimestepContext &ctx) {
         m_updates++;
         m_timestep_window.clear();
     }
 
     void TimestepCollapseTrigger::step(
-        const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx
+        const gridfire::solver::PointSolverTimestepContext &ctx
     ) {
         push_to_fixed_deque(m_timestep_window, ctx.dt, m_windowSize);
         // --- TimestepCollapseTrigger::step does nothing and is intentionally left blank --- //
@@ -226,7 +226,7 @@ namespace gridfire::trigger::solver::CVODE {
     }
 
     TriggerResult TimestepCollapseTrigger::why(
-        const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx
+        const gridfire::solver::PointSolverTimestepContext &ctx
     ) const {
         TriggerResult result;
         result.name = name();
@@ -263,7 +263,7 @@ namespace gridfire::trigger::solver::CVODE {
     m_windowSize(windowSize) {}
 
     bool ConvergenceFailureTrigger::check(
-        const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx
+        const gridfire::solver::PointSolverTimestepContext &ctx
     ) const {
         if (m_window.size() != m_windowSize) {
             m_misses++;
@@ -278,13 +278,13 @@ namespace gridfire::trigger::solver::CVODE {
     }
 
     void ConvergenceFailureTrigger::update(
-        const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx
+        const gridfire::solver::PointSolverTimestepContext &ctx
     ) {
         m_window.clear();
     }
 
     void ConvergenceFailureTrigger::step(
-        const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx
+        const gridfire::solver::PointSolverTimestepContext &ctx
     ) {
         push_to_fixed_deque(m_window, ctx.currentConvergenceFailures, m_windowSize);
         m_updates++;
@@ -306,7 +306,7 @@ namespace gridfire::trigger::solver::CVODE {
         return "ConvergenceFailureTrigger(abs_failure_threshold=" + std::to_string(m_totalFailures) + ", rel_failure_threshold=" + std::to_string(m_relativeFailureRate) + ", windowSize=" + std::to_string(m_windowSize) + ")";
     }
 
-    TriggerResult ConvergenceFailureTrigger::why(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const {
+    TriggerResult ConvergenceFailureTrigger::why(const gridfire::solver::PointSolverTimestepContext &ctx) const {
         TriggerResult result;
         result.name = name();
 
@@ -348,7 +348,7 @@ namespace gridfire::trigger::solver::CVODE {
     }
 
     bool ConvergenceFailureTrigger::abs_failure(
-        const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx
+        const gridfire::solver::PointSolverTimestepContext &ctx
     ) const {
         if (ctx.currentConvergenceFailures > m_totalFailures) {
             return true;
@@ -357,7 +357,7 @@ namespace gridfire::trigger::solver::CVODE {
     }
 
     bool ConvergenceFailureTrigger::rel_failure(
-        const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx
+        const gridfire::solver::PointSolverTimestepContext &ctx
     ) const {
         const float mean = current_mean();
         if (mean < 10) {
@@ -369,13 +369,13 @@ namespace gridfire::trigger::solver::CVODE {
         return false;
     }
 
-    std::unique_ptr<Trigger<gridfire::solver::CVODESolverStrategy::TimestepContext>> makeEnginePartitioningTrigger(
+    std::unique_ptr<Trigger<gridfire::solver::PointSolverTimestepContext>> makeEnginePartitioningTrigger(
         const double simulationTimeInterval,
         const double offDiagonalThreshold,
         const double timestepCollapseRatio,
         const size_t maxConvergenceFailures
     ) {
-        using ctx_t = gridfire::solver::CVODESolverStrategy::TimestepContext;
+        using ctx_t = gridfire::solver::PointSolverTimestepContext;
 
         // 1. INSTABILITY TRIGGERS (High Priority)
         auto convergenceFailureTrigger = std::make_unique<ConvergenceFailureTrigger>(

src/meson.build

@@ -15,8 +15,8 @@ gridfire_sources = files(
     'lib/reaction/weak/weak_interpolator.cpp',
     'lib/io/network_file.cpp',
     'lib/io/generative/python.cpp',
-    'lib/solver/strategies/CVODE_solver_strategy.cpp',
+    'lib/solver/strategies/PointSolver.cpp',
-#    'lib/solver/strategies/SpectralSolverStrategy.cpp',
+    'lib/solver/strategies/GridSolver.cpp',
     'lib/solver/strategies/triggers/engine_partitioning_trigger.cpp',
     'lib/screening/screening_types.cpp',
     'lib/screening/screening_weak.cpp',
@@ -58,12 +58,21 @@ if get_option('openmp_support')
 endif
 
 # Define the libnetwork library so it can be linked against by other parts of the build system
-libgridfire = library('gridfire',
+if get_option('build_python')
-    gridfire_sources,
+    libgridfire = static_library('gridfire',
-    include_directories: include_directories('include'),
+        gridfire_sources,
-    dependencies: gridfire_build_dependencies,
+        include_directories: include_directories('include'),
-    objects: [cvode_objs, kinsol_objs],
+        dependencies: gridfire_build_dependencies,
-    install : true)
+        objects: [cvode_objs, kinsol_objs],
+        install : false)
+else
+    libgridfire = library('gridfire',
+                          gridfire_sources,
+                          include_directories: include_directories('include'),
+                          dependencies: gridfire_build_dependencies,
+                          objects: [cvode_objs, kinsol_objs],
+                          install : true)
+endif
 
 gridfire_dep = declare_dependency(
     include_directories: include_directories('include'),

src/python/bindings.cpp

@@ -4,6 +4,7 @@
 #include "types/bindings.h"
 #include "partition/bindings.h"
 #include "engine/bindings.h"
+#include "engine/scratchpads/bindings.h"
 #include "exceptions/bindings.h"
 #include "io/bindings.h"
 #include "reaction/bindings.h"
@@ -11,6 +12,7 @@
 #include "solver/bindings.h"
 #include "utils/bindings.h"
 #include "policy/bindings.h"
+#include "config/bindings.h"
 
 PYBIND11_MODULE(_gridfire, m) {
     m.doc() = "Python bindings for the fourdst utility modules which are a part of the 4D-STAR project.";
@@ -20,6 +22,9 @@ PYBIND11_MODULE(_gridfire, m) {
     pybind11::module::import("fourdst.config");
     pybind11::module::import("fourdst.atomic");
 
+    auto configMod  = m.def_submodule("config", "GridFire configuration bindings");
+    register_config_bindings(configMod);
+
     auto typeMod  = m.def_submodule("type", "GridFire type bindings");
     register_type_bindings(typeMod);
 
@@ -39,6 +44,12 @@ PYBIND11_MODULE(_gridfire, m) {
     register_exception_bindings(exceptionMod);
 
     auto engineMod  = m.def_submodule("engine", "Engine and Engine View bindings");
+    auto scratchpadMod = engineMod.def_submodule("scratchpads", "Engine ScratchPad bindings");
+
+    register_scratchpad_types_bindings(scratchpadMod);
+    register_scratchpad_bindings(scratchpadMod);
+    register_state_blob_bindings(scratchpadMod);
+
     register_engine_bindings(engineMod);
 
     auto solverMod  = m.def_submodule("solver", "GridFire numerical solver bindings");

src/python/config/bindings.cpp

@@ -0,0 +1,34 @@
+#include "bindings.h"
+
+#include "gridfire/config/config.h"
+#include <pybind11/pybind11.h>
+
+namespace py = pybind11;
+
+void register_config_bindings(pybind11::module &m) {
+    py::class_<gridfire::config::CVODESolverConfig>(m, "CVODESolverConfig")
+        .def(py::init<>())
+        .def_readwrite("absTol", &gridfire::config::CVODESolverConfig::absTol)
+        .def_readwrite("relTol", &gridfire::config::CVODESolverConfig::relTol);
+
+    py::class_<gridfire::config::SolverConfig>(m, "SolverConfig")
+        .def(py::init<>())
+        .def_readwrite("cvode", &gridfire::config::SolverConfig::cvode);
+
+    py::class_<gridfire::config::AdaptiveEngineViewConfig>(m, "AdaptiveEngineViewConfig")
+        .def(py::init<>())
+        .def_readwrite("relativeCullingThreshold", &gridfire::config::AdaptiveEngineViewConfig::relativeCullingThreshold);
+
+    py::class_<gridfire::config::EngineViewConfig>(m, "EngineViewConfig")
+        .def(py::init<>())
+        .def_readwrite("adaptiveEngineView", &gridfire::config::EngineViewConfig::adaptiveEngineView);
+
+    py::class_<gridfire::config::EngineConfig>(m, "EngineConfig")
+        .def(py::init<>())
+        .def_readwrite("views", &gridfire::config::EngineConfig::views);
+
+    py::class_<gridfire::config::GridFireConfig>(m, "GridFireConfig")
+        .def(py::init<>())
+        .def_readwrite("solver", &gridfire::config::GridFireConfig::solver)
+        .def_readwrite("engine", &gridfire::config::GridFireConfig::engine);
+}

src/python/config/bindings.h

@@ -0,0 +1,5 @@
+#pragma once
+
+#include <pybind11/pybind11.h>
+
+void register_config_bindings(pybind11::module &m);

src/python/engine/bindings.cpp

@@ -12,6 +12,7 @@
 
 
 namespace py = pybind11;
+namespace sp = gridfire::engine::scratch;
 
 namespace {
     template <typename T>
@@ -23,16 +24,18 @@ namespace {
             "calculateRHSAndEnergy",
             [](
                 const gridfire::engine::DynamicEngine& self,
+                sp::StateBlob& ctx,
                 const fourdst::composition::Composition& comp,
                 const double T9,
                 const double rho
             ) {
-                auto result = self.calculateRHSAndEnergy(comp, T9, rho);
+                auto result = self.calculateRHSAndEnergy(ctx, comp, T9, rho, false);
                 if (!result.has_value()) {
                     throw gridfire::exceptions::EngineError(std::format("calculateRHSAndEnergy returned a potentially recoverable error {}", gridfire::engine::EngineStatus_to_string(result.error())));
                 }
                 return result.value();
             },
+            py::arg("ctx"),
             py::arg("comp"),
             py::arg("T9"),
             py::arg("rho"),
@@ -40,6 +43,7 @@ namespace {
         )
         .def("calculateEpsDerivatives",
             &gridfire::engine::DynamicEngine::calculateEpsDerivatives,
+            py::arg("ctx"),
             py::arg("comp"),
             py::arg("T9"),
             py::arg("rho"),
@@ -47,11 +51,13 @@ namespace {
         )
         .def("generateJacobianMatrix",
             [](const gridfire::engine::DynamicEngine& self,
+               sp::StateBlob& ctx,
                const fourdst::composition::Composition& comp,
                const double T9,
                const double rho) -> gridfire::engine::NetworkJacobian {
-                return self.generateJacobianMatrix(comp, T9, rho);
+                return self.generateJacobianMatrix(ctx, comp, T9, rho);
             },
+            py::arg("ctx"),
             py::arg("comp"),
             py::arg("T9"),
             py::arg("rho"),
@@ -59,12 +65,14 @@ namespace {
         )
         .def("generateJacobianMatrix",
             [](const gridfire::engine::DynamicEngine& self,
+               sp::StateBlob& ctx,
                const fourdst::composition::Composition& comp,
                const double T9,
                const double rho,
                const std::vector<fourdst::atomic::Species>& activeSpecies) -> gridfire::engine::NetworkJacobian {
-                return self.generateJacobianMatrix(comp, T9, rho, activeSpecies);
+                return self.generateJacobianMatrix(ctx, comp, T9, rho, activeSpecies);
             },
+            py::arg("ctx"),
             py::arg("comp"),
             py::arg("T9"),
             py::arg("rho"),
@@ -73,31 +81,32 @@ namespace {
         )
         .def("generateJacobianMatrix",
             [](const gridfire::engine::DynamicEngine& self,
+               sp::StateBlob& ctx,
                const fourdst::composition::Composition& comp,
                const double T9,
                const double rho,
                const gridfire::engine::SparsityPattern& sparsityPattern) -> gridfire::engine::NetworkJacobian {
-                return self.generateJacobianMatrix(comp, T9, rho, sparsityPattern);
+                return self.generateJacobianMatrix(ctx, comp, T9, rho, sparsityPattern);
             },
+            py::arg("ctx"),
             py::arg("comp"),
             py::arg("T9"),
             py::arg("rho"),
             py::arg("sparsityPattern"),
             "Generate the jacobian matrix for the given sparsity pattern"
         )
-        .def("generateStoichiometryMatrix",
-            &T::generateStoichiometryMatrix
-        )
         .def("calculateMolarReactionFlow",
             [](
                 const gridfire::engine::DynamicEngine& self,
+                sp::StateBlob& ctx,
                 const gridfire::reaction::Reaction& reaction,
                 const fourdst::composition::Composition& comp,
                 const double T9,
                 const double rho
             ) -> double {
-                return self.calculateMolarReactionFlow(reaction, comp, T9, rho);
+                return self.calculateMolarReactionFlow(ctx, reaction, comp, T9, rho);
             },
+            py::arg("ctx"),
             py::arg("reaction"),
             py::arg("comp"),
             py::arg("T9"),
@@ -110,28 +119,21 @@ namespace {
         .def("getNetworkReactions", &T::getNetworkReactions,
             "Get the set of logical reactions in the network."
         )
-        .def ("setNetworkReactions", &T::setNetworkReactions,
-            py::arg("reactions"),
-            "Set the network reactions to a new set of reactions."
-        )
-        .def("getStoichiometryMatrixEntry", &T::getStoichiometryMatrixEntry,
-            py::arg("species"),
-            py::arg("reaction"),
-            "Get an entry from the stoichiometry matrix."
-        )
         .def("getSpeciesTimescales",
             [](
                 const gridfire::engine::DynamicEngine& self,
+                sp::StateBlob& ctx,
                 const fourdst::composition::Composition& comp,
                 const double T9,
                 const double rho
             ) -> std::unordered_map<fourdst::atomic::Species, double> {
-                const auto result = self.getSpeciesTimescales(comp, T9, rho);
+                const auto result = self.getSpeciesTimescales(ctx, comp, T9, rho);
                 if (!result.has_value()) {
                     throw gridfire::exceptions::EngineError(std::format("getSpeciesTimescales has returned a potentially recoverable error {}", gridfire::engine::EngineStatus_to_string(result.error())));
                 }
                 return result.value();
             },
+            py::arg("ctx"),
             py::arg("comp"),
             py::arg("T9"),
             py::arg("rho"),
@@ -140,67 +142,48 @@ namespace {
         .def("getSpeciesDestructionTimescales",
             [](
                 const gridfire::engine::DynamicEngine& self,
+                sp::StateBlob& ctx,
                 const fourdst::composition::Composition& comp,
                 const double T9,
                 const double rho
             ) -> std::unordered_map<fourdst::atomic::Species, double> {
-                const auto result = self.getSpeciesDestructionTimescales(comp, T9, rho);
+                const auto result = self.getSpeciesDestructionTimescales(ctx, comp, T9, rho);
                 if (!result.has_value()) {
                     throw gridfire::exceptions::EngineError(std::format("getSpeciesDestructionTimescales has returned a potentially recoverable error {}", gridfire::engine::EngineStatus_to_string(result.error())));
                 }
                 return result.value();
             },
+            py::arg("ctx"),
             py::arg("comp"),
             py::arg("T9"),
             py::arg("rho"),
             "Get the destruction timescales for each species in the network."
         )
-        .def("update",
+        .def("project",
-            &T::update,
+            &T::project,
+            py::arg("ctx"),
             py::arg("netIn"),
             "Update the engine state based on the provided NetIn object."
         )
-        .def("setScreeningModel",
-            &T::setScreeningModel,
-            py::arg("screeningModel"),
-            "Set the screening model for the engine."
-        )
         .def("getScreeningModel",
             &T::getScreeningModel,
             "Get the current screening model of the engine."
         )
         .def("getSpeciesIndex",
             &T::getSpeciesIndex,
+            py::arg("ctx"),
             py::arg("species"),
             "Get the index of a species in the network."
         )
-        .def("mapNetInToMolarAbundanceVector",
-            &T::mapNetInToMolarAbundanceVector,
-            py::arg("netIn"),
-            "Map a NetIn object to a vector of molar abundances."
-        )
         .def("primeEngine",
             &T::primeEngine,
+            py::arg("ctx"),
             py::arg("netIn"),
             "Prime the engine with a NetIn object to prepare for calculations."
         )
-        .def("getDepth",
-            &T::getDepth,
-            "Get the current build depth of the engine."
-        )
-        .def("rebuild",
-            &T::rebuild,
-            py::arg("composition"),
-            py::arg("depth") = gridfire::engine::NetworkBuildDepth::Full,
-            "Rebuild the engine with a new composition and build depth."
-        )
-        .def("isStale",
-            &T::isStale,
-            py::arg("netIn"),
-            "Check if the engine is stale based on the provided NetIn object."
-        )
         .def("collectComposition",
             &T::collectComposition,
+            py::arg("ctx"),
             py::arg("composition"),
             py::arg("T9"),
             py::arg("rho"),
@@ -208,6 +191,7 @@ namespace {
         )
         .def("getSpeciesStatus",
             &T::getSpeciesStatus,
+            py::arg("ctx"),
             py::arg("species"),
             "Get the status of a species in the network."
         );
@@ -253,6 +237,7 @@ void register_engine_diagnostic_bindings(pybind11::module &m) {
     auto diagnostics = m.def_submodule("diagnostics", "A submodule for engine diagnostics");
     diagnostics.def("report_limiting_species",
         &gridfire::engine::diagnostics::report_limiting_species,
+        py::arg("ctx"),
         py::arg("engine"),
         py::arg("Y_full"),
         py::arg("E_full"),
@@ -264,6 +249,7 @@ void register_engine_diagnostic_bindings(pybind11::module &m) {
 
     diagnostics.def("inspect_species_balance",
         &gridfire::engine::diagnostics::inspect_species_balance,
+        py::arg("ctx"),
         py::arg("engine"),
         py::arg("species_name"),
         py::arg("comp"),
@@ -274,6 +260,7 @@ void register_engine_diagnostic_bindings(pybind11::module &m) {
 
     diagnostics.def("inspect_jacobian_stiffness",
         &gridfire::engine::diagnostics::inspect_jacobian_stiffness,
+        py::arg("ctx"),
         py::arg("engine"),
         py::arg("comp"),
         py::arg("T9"),
@@ -311,6 +298,7 @@ void register_engine_construction_bindings(pybind11::module &m) {
 void register_engine_priming_bindings(pybind11::module &m) {
     m.def("primeNetwork",
         &gridfire::engine::primeNetwork,
+        py::arg("ctx"),
         py::arg("netIn"),
         py::arg("engine"),
         py::arg("ignoredReactionTypes") = std::nullopt,
@@ -456,19 +444,16 @@ void con_stype_register_graph_engine_bindings(const pybind11::module &m) {
         py::arg("reactions"),
         "Initialize GraphEngine with a set of reactions."
     );
-    py_graph_engine_bindings.def_static("getNetReactionStoichiometry",
-        &gridfire::engine::GraphEngine::getNetReactionStoichiometry,
-        py::arg("reaction"),
-        "Get the net stoichiometry for a given reaction."
-    );
     py_graph_engine_bindings.def("getSpeciesTimescales",
         [](const gridfire::engine::GraphEngine& self,
+           sp::StateBlob& ctx,
            const fourdst::composition::Composition& composition,
            const double T9,
            const double rho,
            const gridfire::reaction::ReactionSet& activeReactions) {
-            return self.getSpeciesTimescales(composition, T9, rho, activeReactions);
+            return self.getSpeciesTimescales(ctx, composition, T9, rho, activeReactions);
         },
+        py::arg("ctx"),
         py::arg("composition"),
         py::arg("T9"),
         py::arg("rho"),
@@ -476,12 +461,14 @@ void con_stype_register_graph_engine_bindings(const pybind11::module &m) {
     );
     py_graph_engine_bindings.def("getSpeciesDestructionTimescales",
         [](const gridfire::engine::GraphEngine& self,
+           sp::StateBlob& ctx,
            const fourdst::composition::Composition& composition,
            const double T9,
            const double rho,
            const gridfire::reaction::ReactionSet& activeReactions) {
-            return self.getSpeciesDestructionTimescales(composition, T9, rho, activeReactions);
+            return self.getSpeciesDestructionTimescales(ctx, composition, T9, rho, activeReactions);
         },
+        py::arg("ctx"),
         py::arg("composition"),
         py::arg("T9"),
         py::arg("rho"),
@@ -489,24 +476,22 @@ void con_stype_register_graph_engine_bindings(const pybind11::module &m) {
     );
     py_graph_engine_bindings.def("involvesSpecies",
         &gridfire::engine::GraphEngine::involvesSpecies,
+        py::arg("ctx"),
         py::arg("species"),
         "Check if a given species is involved in the network."
     );
     py_graph_engine_bindings.def("exportToDot",
         &gridfire::engine::GraphEngine::exportToDot,
+        py::arg("ctx"),
         py::arg("filename"),
         "Export the network to a DOT file for visualization."
     );
     py_graph_engine_bindings.def("exportToCSV",
         &gridfire::engine::GraphEngine::exportToCSV,
+        py::arg("ctx"),
         py::arg("filename"),
         "Export the network to a CSV file for analysis."
     );
-    py_graph_engine_bindings.def("setPrecomputation",
-        &gridfire::engine::GraphEngine::setPrecomputation,
-        py::arg("precompute"),
-        "Enable or disable precomputation for the engine."
-    );
     py_graph_engine_bindings.def("isPrecomputationEnabled",
         &gridfire::engine::GraphEngine::isPrecomputationEnabled,
         "Check if precomputation is enabled for the engine."
@@ -544,11 +529,6 @@ void con_stype_register_graph_engine_bindings(const pybind11::module &m) {
         &gridfire::engine::GraphEngine::isUsingReverseReactions,
         "Check if the engine is using reverse reactions."
     );
-    py_graph_engine_bindings.def("setUseReverseReactions",
-        &gridfire::engine::GraphEngine::setUseReverseReactions,
-        py::arg("useReverse"),
-        "Enable or disable the use of reverse reactions in the engine."
-    );
 
     // Register the general dynamic engine bindings
     registerDynamicEngineDefs<gridfire::engine::GraphEngine, gridfire::engine::DynamicEngine>(py_graph_engine_bindings);
@@ -587,11 +567,13 @@ void register_engine_view_bindings(const pybind11::module &m) {
     registerDynamicEngineDefs<gridfire::engine::FileDefinedEngineView, gridfire::engine::DefinedEngineView>(py_file_defined_engine_view_bindings);
 
     auto py_priming_engine_view_bindings = py::class_<gridfire::engine::NetworkPrimingEngineView, gridfire::engine::DefinedEngineView>(m, "NetworkPrimingEngineView");
-    py_priming_engine_view_bindings.def(py::init<const std::string&, gridfire::engine::GraphEngine&>(),
+    py_priming_engine_view_bindings.def(py::init<sp::StateBlob&, const std::string&, gridfire::engine::GraphEngine&>(),
+        py::arg("ctx"),
         py::arg("primingSymbol"),
         py::arg("baseEngine"),
         "Construct a priming engine view with a priming symbol and a base engine.");
-    py_priming_engine_view_bindings.def(py::init<const fourdst::atomic::Species&, gridfire::engine::GraphEngine&>(),
+    py_priming_engine_view_bindings.def(py::init<sp::StateBlob&, const fourdst::atomic::Species&, gridfire::engine::GraphEngine&>(),
+        py::arg("ctx"),
         py::arg("primingSpecies"),
         py::arg("baseEngine"),
         "Construct a priming engine view with a priming species and a base engine.");
@@ -622,15 +604,12 @@ void register_engine_view_bindings(const pybind11::module &m) {
     );
     py_multiscale_engine_view_bindings.def("partitionNetwork",
         &gridfire::engine::MultiscalePartitioningEngineView::partitionNetwork,
+        py::arg("ctx"),
         py::arg("netIn"),
         "Partition the network based on species timescales and connectivity.");
-    py_multiscale_engine_view_bindings.def("partitionNetwork",
-        py::overload_cast<const gridfire::NetIn&>(&gridfire::engine::MultiscalePartitioningEngineView::partitionNetwork),
-        py::arg("netIn"),
-        "Partition the network based on a NetIn object."
-    );
     py_multiscale_engine_view_bindings.def("exportToDot",
     &gridfire::engine::MultiscalePartitioningEngineView::exportToDot,
+        py::arg("ctx"),
         py::arg("filename"),
         py::arg("comp"),
         py::arg("T9"),
@@ -661,7 +640,16 @@ void register_engine_view_bindings(const pybind11::module &m) {
         "Check if a given species is involved in the network's dynamic set."
     );
     py_multiscale_engine_view_bindings.def("getNormalizedEquilibratedComposition",
-        &gridfire::engine::MultiscalePartitioningEngineView::getNormalizedEquilibratedComposition,
+        [](
+            const gridfire::engine::MultiscalePartitioningEngineView&  self,
+            sp::StateBlob& ctx,
+            const fourdst::composition::Composition& comp,
+            const double T9,
+            const double rho
+        ) {
+            return self.getNormalizedEquilibratedComposition(ctx, comp, T9, rho, false);
+        },
+        py::arg("ctx"),
         py::arg("comp"),
         py::arg("T9"),
         py::arg("rho"),

src/python/engine/meson.build

@@ -1,21 +0,0 @@
-subdir('trampoline')
-
-# Define the library
-bindings_sources = files('bindings.cpp')
-bindings_headers = files('bindings.h')
-
-dependencies = [
-    gridfire_dep,
-    python3_dep,
-    pybind11_dep,
-]
-
-message('⏳ Python bindings for GridFire Engine are being registered...')
-shared_module('py_gf_engine',
-              bindings_sources,
-              cpp_args: ['-fvisibility=default'],
-              install : true,
-              dependencies: dependencies,
-              include_directories: include_directories('.')
-)
-message('✅ Python bindings for GridFire Engine registered successfully!')

src/python/engine/scratchpads/bindings.cpp

@@ -0,0 +1,152 @@
+#include <pybind11/pybind11.h>
+#include <pybind11/stl.h> // Needed for vectors, maps, sets, strings
+#include <pybind11/stl_bind.h> // Needed for binding std::vector, std::map etc. if needed directly
+
+#include "gridfire/engine/scratchpads/scratchpads.h"
+
+#include "bindings.h"
+
+namespace py = pybind11;
+namespace sp = gridfire::engine::scratch;
+
+template<typename... ScratchPadTypes>
+void build_state_getter(py::module& m) {
+
+}
+
+void register_scratchpad_types_bindings(pybind11::module &m) {
+    py::enum_<sp::ScratchPadType>(m, "ScratchPadType")
+        .value("GRAPH_ENGINE_SCRATCHPAD", sp::ScratchPadType::GRAPH_ENGINE_SCRATCHPAD)
+        .value("MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD", sp::ScratchPadType::MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD)
+        .value("ADAPTIVE_ENGINE_VIEW_SCRATCHPAD", sp::ScratchPadType::ADAPTIVE_ENGINE_VIEW_SCRATCHPAD)
+        .value("DEFINED_ENGINE_VIEW_SCRATCHPAD", sp::ScratchPadType::DEFINED_ENGINE_VIEW_SCRATCHPAD)
+        .export_values();
+}
+
+void register_scratchpad_bindings(pybind11::module_ &m) {
+    py::enum_<sp::GraphEngineScratchPad::ADFunRegistrationResult>(m, "ADFunRegistrationResult")
+        .value("SUCCESS", sp::GraphEngineScratchPad::ADFunRegistrationResult::SUCCESS)
+        .value("ALREADY_REGISTERED", sp::GraphEngineScratchPad::ADFunRegistrationResult::ALREADY_REGISTERED)
+        .export_values();
+
+    py::class_<sp::GraphEngineScratchPad>(m, "GraphEngineScratchPad")
+        .def(py::init<>())
+        .def("initialize", &sp::GraphEngineScratchPad::initialize, py::arg("engine"))
+        .def("clone", &sp::GraphEngineScratchPad::clone)
+        .def("is_initialized", &sp::GraphEngineScratchPad::is_initialized)
+        .def_readonly("most_recent_rhs_calculation", &sp::GraphEngineScratchPad::most_recent_rhs_calculation)
+        .def_readonly("local_abundance_cache", &sp::GraphEngineScratchPad::local_abundance_cache)
+        .def_readonly("has_initialized", &sp::GraphEngineScratchPad::has_initialized)
+        .def_readonly("stepDerivativesCache", &sp::GraphEngineScratchPad::stepDerivativesCache)
+        .def_readonly_static("ID", &sp::GraphEngineScratchPad::ID)
+        .def("__repr__", [](const sp::GraphEngineScratchPad &self) {
+            return std::format("{}", self);
+        });
+
+    py::class_<sp::MultiscalePartitioningEngineViewScratchPad>(m, "MultiscalePartitioningEngineViewScratchPad")
+        .def(py::init<>())
+        .def("initialize", &sp::MultiscalePartitioningEngineViewScratchPad::initialize)
+        .def("clone", &sp::MultiscalePartitioningEngineViewScratchPad::clone)
+        .def("is_initialized", &sp::MultiscalePartitioningEngineViewScratchPad::is_initialized)
+        .def_readonly("qse_groups", &sp::MultiscalePartitioningEngineViewScratchPad::qse_groups)
+        .def_readonly("dynamic_species", &sp::MultiscalePartitioningEngineViewScratchPad::dynamic_species)
+        .def_readonly("algebraic_species", &sp::MultiscalePartitioningEngineViewScratchPad::algebraic_species)
+        .def_readonly("composition_cache", &sp::MultiscalePartitioningEngineViewScratchPad::composition_cache)
+        .def_readonly("has_initialized", &sp::MultiscalePartitioningEngineViewScratchPad::has_initialized)
+        .def_readonly_static("ID", &sp::MultiscalePartitioningEngineViewScratchPad::ID)
+        .def("__repr__", [](const sp::MultiscalePartitioningEngineViewScratchPad &self) {
+            return std::format("{}", self);
+        });
+
+    py::class_<sp::AdaptiveEngineViewScratchPad>(m, "AdaptiveEngineViewScratchPad")
+        .def(py::init<>())
+        .def("initialize", &sp::AdaptiveEngineViewScratchPad::initialize)
+        .def("clone", &sp::AdaptiveEngineViewScratchPad::clone)
+        .def("is_initialized", &sp::AdaptiveEngineViewScratchPad::is_initialized)
+        .def_readonly("active_species", &sp::AdaptiveEngineViewScratchPad::active_species)
+        .def_readonly("active_reactions", &sp::AdaptiveEngineViewScratchPad::active_reactions)
+        .def_readonly("has_initialized", &sp::AdaptiveEngineViewScratchPad::has_initialized)
+        .def_readonly_static("ID", &sp::AdaptiveEngineViewScratchPad::ID)
+        .def("__repr__", [](const sp::AdaptiveEngineViewScratchPad &self) {
+            return std::format("{}", self);
+        });
+
+    py::class_<sp::DefinedEngineViewScratchPad>(m, "DefinedEngineViewScratchPad")
+        .def(py::init<>())
+        .def("clone", &sp::DefinedEngineViewScratchPad::clone)
+        .def("is_initialized", &sp::DefinedEngineViewScratchPad::is_initialized)
+        .def_readonly("active_species", &sp::DefinedEngineViewScratchPad::active_species)
+        .def_readonly("active_reactions", &sp::DefinedEngineViewScratchPad::active_reactions)
+        .def_readonly("species_index_map", &sp::DefinedEngineViewScratchPad::species_index_map)
+        .def_readonly("reaction_index_map", &sp::DefinedEngineViewScratchPad::reaction_index_map)
+        .def_readonly("has_initialized", &sp::DefinedEngineViewScratchPad::has_initialized)
+        .def_readonly_static("ID", &sp::DefinedEngineViewScratchPad::ID)
+        .def("__repr__", [](const sp::DefinedEngineViewScratchPad &self) {
+            return std::format("{}", self);
+        });
+}
+
+void register_state_blob_bindings(pybind11::module_ &m) {
+    py::enum_<sp::StateBlob::Error>(m, "StateBlobError")
+        .value("SCRATCHPAD_OUT_OF_BOUNDS", sp::StateBlob::Error::SCRATCHPAD_OUT_OF_BOUNDS)
+        .value("SCRATCHPAD_NOT_FOUND", sp::StateBlob::Error::SCRATCHPAD_NOT_FOUND)
+        .value("SCRATCHPAD_BAD_CAST", sp::StateBlob::Error::SCRATCHPAD_BAD_CAST)
+        .value("SCRATCHPAD_NOT_INITIALIZED", sp::StateBlob::Error::SCRATCHPAD_NOT_INITIALIZED)
+        .value("SCRATCHPAD_TYPE_COLLISION", sp::StateBlob::Error::SCRATCHPAD_TYPE_COLLISION)
+        .value("SCRATCHPAD_UNKNOWN_ERROR", sp::StateBlob::Error::SCRATCHPAD_UNKNOWN_ERROR)
+        .export_values();
+
+    py::class_<sp::StateBlob>(m, "StateBlob")
+        .def(py::init<>())
+        .def("enroll", [](sp::StateBlob &self, const sp::ScratchPadType type) {
+            switch (type) {
+                case sp::ScratchPadType::GRAPH_ENGINE_SCRATCHPAD:
+                    self.enroll<sp::GraphEngineScratchPad>();
+                    break;
+                case sp::ScratchPadType::MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD:
+                    self.enroll<sp::MultiscalePartitioningEngineViewScratchPad>();
+                    break;
+                case sp::ScratchPadType::ADAPTIVE_ENGINE_VIEW_SCRATCHPAD:
+                    self.enroll<sp::AdaptiveEngineViewScratchPad>();
+                    break;
+                case sp::ScratchPadType::DEFINED_ENGINE_VIEW_SCRATCHPAD:
+                    self.enroll<sp::DefinedEngineViewScratchPad>();
+                    break;
+                default:
+                    throw std::invalid_argument("Unknown ScratchPadType for enrollment.");
+            }
+        })
+    .def("get", [](const sp::StateBlob &self, const sp::ScratchPadType type) {
+            auto result = self.get(type);
+            if (!result.has_value()) {
+                throw std::runtime_error("Error retrieving scratchpad: " + sp::StateBlob::error_to_string(result.error()));
+            }
+            return result.value();
+        },
+        pybind11::return_value_policy::reference_internal
+    )
+    .def("clone_structure", &sp::StateBlob::clone_structure)
+    .def("get_registered_scratchpads", &sp::StateBlob::get_registered_scratchpads)
+    .def("get_status", [](const sp::StateBlob &self, const sp::ScratchPadType type) -> sp::StateBlob::ScratchPadStatus {
+            switch (type) {
+                case sp::ScratchPadType::GRAPH_ENGINE_SCRATCHPAD:
+                    return self.get_status<sp::GraphEngineScratchPad>();
+                case sp::ScratchPadType::MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD:
+                    return self.get_status<sp::MultiscalePartitioningEngineViewScratchPad>();
+                case sp::ScratchPadType::ADAPTIVE_ENGINE_VIEW_SCRATCHPAD:
+                    return self.get_status<sp::AdaptiveEngineViewScratchPad>();
+                case sp::ScratchPadType::DEFINED_ENGINE_VIEW_SCRATCHPAD:
+                    return self.get_status<sp::DefinedEngineViewScratchPad>();
+                default:
+                    throw std::invalid_argument("Unknown ScratchPadType for status retrieval.");
+            }
+    })
+    .def("get_status_map", &sp::StateBlob::get_status_map)
+    .def_static("error_to_string", &sp::StateBlob::error_to_string)
+    .def("__repr__", [](const sp::StateBlob &self) {
+        return std::format("{}", self);
+    });
+}
+
+
+

src/python/engine/scratchpads/bindings.h

@@ -0,0 +1,7 @@
+#pragma once
+
+#include <pybind11/pybind11.h>
+
+void register_scratchpad_types_bindings(pybind11::module_& m);
+void register_scratchpad_bindings(pybind11::module_& m);
+void register_state_blob_bindings(pybind11::module_& m);

src/python/engine/trampoline/meson.build

@@ -1,21 +0,0 @@
-gf_engine_trampoline_sources = files('py_engine.cpp')
-
-gf_engine_trapoline_dependencies = [
-    gridfire_dep,
-    pybind11_dep,
-    python3_dep,
-]
-
-gf_engine_trampoline_lib = static_library(
-    'engine_trampolines',
-    gf_engine_trampoline_sources,
-    include_directories: include_directories('.'),
-    dependencies: gf_engine_trapoline_dependencies,
-    install: false,
-)
-
-gr_engine_trampoline_dep = declare_dependency(
-    link_with: gf_engine_trampoline_lib,
-    include_directories: ('.'),
-    dependencies: gf_engine_trapoline_dependencies,
-)

src/python/engine/trampoline/py_engine.cpp

@@ -13,36 +13,29 @@
 
 namespace py = pybind11;
 
-const std::vector<fourdst::atomic::Species>& PyEngine::getNetworkSpecies() const {
+const std::vector<fourdst::atomic::Species>& PyEngine::getNetworkSpecies(
-    /*
+    gridfire::engine::scratch::StateBlob& ctx
-     * Acquire the GIL (Global Interpreter Lock) for thread safety
+) const {
-     * with the Python interpreter.
+    PYBIND11_OVERRIDE_PURE(
-     */
+        const std::vector<fourdst::atomic::Species>&,
-    py::gil_scoped_acquire gil;
+        gridfire::engine::Engine,
-
+        getNetworkSpecies,
-    /*
+        ctx
-     * get_override() looks for a Python method that overrides this C++ one.
+    );
-     */
-
-    if (const py::function override = py::get_override(this, "getNetworkSpecies")) {
-        const py::object result = override();
-        m_species_cache = result.cast<std::vector<fourdst::atomic::Species>>();
-        return m_species_cache;
-    }
-
-    py::pybind11_fail("Tried to call pure virtual function \"DynamicEngine::getNetworkSpecies\"");
 }
 
 std::expected<gridfire::engine::StepDerivatives<double>, gridfire::engine::EngineStatus> PyEngine::calculateRHSAndEnergy(
+    gridfire::engine::scratch::StateBlob& ctx,
     const fourdst::composition::CompositionAbstract &comp,
     double T9,
-    double rho
+    double rho,
+    bool trust
 ) const {
     PYBIND11_OVERRIDE_PURE(
         PYBIND11_TYPE(std::expected<gridfire::engine::StepDerivatives<double>, gridfire::engine::EngineStatus>),
         gridfire::engine::Engine,
         calculateRHSAndEnergy,
-        comp, T9, rho
+        ctx, comp, T9, rho, trust
     );
 }
 
@@ -50,41 +43,35 @@ std::expected<gridfire::engine::StepDerivatives<double>, gridfire::engine::Engin
 /// PyDynamicEngine Implementation ///
 /////////////////////////////////////
 
-const std::vector<fourdst::atomic::Species>& PyDynamicEngine::getNetworkSpecies() const {
+const std::vector<fourdst::atomic::Species>& PyDynamicEngine::getNetworkSpecies(
-    /*
+    gridfire::engine::scratch::StateBlob& ctx
-     * Acquire the GIL (Global Interpreter Lock) for thread safety
+) const {
-     * with the Python interpreter.
+        PYBIND11_OVERRIDE_PURE(
-     */
+        const std::vector<fourdst::atomic::Species>&,
-    py::gil_scoped_acquire gil;
+        gridfire::engine::DynamicEngine,
-
+        getNetworkSpecies,
-    /*
+        ctx
-     * get_override() looks for a Python method that overrides this C++ one.
+    );
-     */
-
-    if (const py::function override = py::get_override(this, "getNetworkSpecies")) {
-        const py::object result = override();
-        m_species_cache = result.cast<std::vector<fourdst::atomic::Species>>();
-        return m_species_cache;
-    }
-
-    py::pybind11_fail("Tried to call pure virtual function \"DynamicEngine::getNetworkSpecies\"");
 }
 
 
 std::expected<gridfire::engine::StepDerivatives<double>, gridfire::engine::EngineStatus> PyDynamicEngine::calculateRHSAndEnergy(
+    gridfire::engine::scratch::StateBlob& ctx,
     const fourdst::composition::CompositionAbstract &comp,
     double T9,
-    double rho
+    double rho,
+    bool trust
 ) const {
     PYBIND11_OVERRIDE_PURE(
         PYBIND11_TYPE(std::expected<gridfire::engine::StepDerivatives<double>, gridfire::engine::EngineStatus>),
         gridfire::engine::DynamicEngine,
         calculateRHSAndEnergy,
-        comp, T9, rho
+        ctx, comp, T9, rho, trust
     );
 }
 
 gridfire::engine::NetworkJacobian PyDynamicEngine::generateJacobianMatrix(
+    gridfire::engine::scratch::StateBlob& ctx,
     const fourdst::composition::CompositionAbstract& comp,
     double T9,
     double rho
@@ -100,6 +87,7 @@ gridfire::engine::NetworkJacobian PyDynamicEngine::generateJacobianMatrix(
 }
 
 gridfire::engine::NetworkJacobian PyDynamicEngine::generateJacobianMatrix(
+    gridfire::engine::scratch::StateBlob& ctx,
     const fourdst::composition::CompositionAbstract &comp,
     const double T9,
     const double rho,
@@ -109,6 +97,7 @@ gridfire::engine::NetworkJacobian PyDynamicEngine::generateJacobianMatrix(
         gridfire::engine::NetworkJacobian,
         gridfire::engine::DynamicEngine,
         generateJacobianMatrix,
+        ctx,
         comp,
         T9,
         rho,
@@ -117,6 +106,7 @@ gridfire::engine::NetworkJacobian PyDynamicEngine::generateJacobianMatrix(
 }
 
 gridfire::engine::NetworkJacobian PyDynamicEngine::generateJacobianMatrix(
+    gridfire::engine::scratch::StateBlob& ctx,
     const fourdst::composition::CompositionAbstract &comp,
     double T9,
     double rho,
@@ -126,6 +116,7 @@ gridfire::engine::NetworkJacobian PyDynamicEngine::generateJacobianMatrix(
         gridfire::engine::NetworkJacobian,
         gridfire::engine::DynamicEngine,
         generateJacobianMatrix,
+        ctx,
         comp,
         T9,
         rho,
@@ -133,28 +124,8 @@ gridfire::engine::NetworkJacobian PyDynamicEngine::generateJacobianMatrix(
     );
 }
 
-void PyDynamicEngine::generateStoichiometryMatrix() {
-    PYBIND11_OVERRIDE_PURE(
-        void,
-        gridfire::engine::DynamicEngine,
-        generateStoichiometryMatrix
-    );
-}
-
-int PyDynamicEngine::getStoichiometryMatrixEntry(
-    const fourdst::atomic::Species& species,
-    const gridfire::reaction::Reaction& reaction
-) const {
-    PYBIND11_OVERRIDE_PURE(
-        int,
-        gridfire::engine::DynamicEngine,
-        getStoichiometryMatrixEntry,
-        species,
-        reaction
-    );
-}
-
 double PyDynamicEngine::calculateMolarReactionFlow(
+    gridfire::engine::scratch::StateBlob& ctx,
     const gridfire::reaction::Reaction &reaction,
     const fourdst::composition::CompositionAbstract &comp,
     double T9,
@@ -164,6 +135,7 @@ double PyDynamicEngine::calculateMolarReactionFlow(
         double,
         gridfire::engine::DynamicEngine,
         calculateMolarReactionFlow,
+        ctx,
         reaction,
         comp,
         T9,
@@ -171,24 +143,19 @@ double PyDynamicEngine::calculateMolarReactionFlow(
     );
 }
 
-const gridfire::reaction::ReactionSet& PyDynamicEngine::getNetworkReactions() const {
+const gridfire::reaction::ReactionSet& PyDynamicEngine::getNetworkReactions(
+    gridfire::engine::scratch::StateBlob& ctx
+) const {
     PYBIND11_OVERRIDE_PURE(
         const gridfire::reaction::ReactionSet&,
         gridfire::engine::DynamicEngine,
-        getNetworkReactions
+        getNetworkReactions,
-    );
+        ctx
-}
-
-void PyDynamicEngine::setNetworkReactions(const gridfire::reaction::ReactionSet& reactions) {
-    PYBIND11_OVERRIDE_PURE(
-        void,
-        gridfire::engine::DynamicEngine,
-        setNetworkReactions,
-        reactions
     );
 }
 
 std::expected<std::unordered_map<fourdst::atomic::Species, double>, gridfire::engine::EngineStatus> PyDynamicEngine::getSpeciesTimescales(
+    gridfire::engine::scratch::StateBlob& ctx,
     const fourdst::composition::CompositionAbstract &comp,
     double T9,
     double rho
@@ -197,6 +164,7 @@ std::expected<std::unordered_map<fourdst::atomic::Species, double>, gridfire::en
         PYBIND11_TYPE(std::expected<std::unordered_map<fourdst::atomic::Species, double>, gridfire::engine::EngineStatus>),
         gridfire::engine::DynamicEngine,
         getSpeciesTimescales,
+        ctx,
         comp,
         T9,
         rho
@@ -204,6 +172,7 @@ std::expected<std::unordered_map<fourdst::atomic::Species, double>, gridfire::en
 }
 
 std::expected<std::unordered_map<fourdst::atomic::Species, double>, gridfire::engine::EngineStatus> PyDynamicEngine::getSpeciesDestructionTimescales(
+    gridfire::engine::scratch::StateBlob& ctx,
     const fourdst::composition::CompositionAbstract &comp,
     double T9,
     double rho
@@ -212,80 +181,71 @@ std::expected<std::unordered_map<fourdst::atomic::Species, double>, gridfire::en
         PYBIND11_TYPE(std::expected<std::unordered_map<fourdst::atomic::Species, double>, gridfire::engine::EngineStatus>),
         gridfire::engine::DynamicEngine,
         getSpeciesDestructionTimescales,
-        comp, T9, rho
+        ctx, comp, T9, rho
     );
 }
 
-fourdst::composition::Composition PyDynamicEngine::update(const gridfire::NetIn &netIn) {
+fourdst::composition::Composition PyDynamicEngine::project(
+    gridfire::engine::scratch::StateBlob& ctx,
+    const gridfire::NetIn &netIn
+) const {
     PYBIND11_OVERRIDE_PURE(
         fourdst::composition::Composition,
         gridfire::engine::DynamicEngine,
-        update,
+        project,
+        ctx,
         netIn
     );
 }
 
-bool PyDynamicEngine::isStale(const gridfire::NetIn &netIn) {
+gridfire::screening::ScreeningType PyDynamicEngine::getScreeningModel(
-    PYBIND11_OVERRIDE_PURE(
+    gridfire::engine::scratch::StateBlob& ctx
-        bool,
+) const {
-        gridfire::engine::DynamicEngine,
-        isStale,
-        netIn
-    );
-}
-
-void PyDynamicEngine::setScreeningModel(gridfire::screening::ScreeningType model) {
-    PYBIND11_OVERRIDE_PURE(
-        void,
-        gridfire::engine::DynamicEngine,
-        setScreeningModel,
-        model
-    );
-}
-
-gridfire::screening::ScreeningType PyDynamicEngine::getScreeningModel() const {
     PYBIND11_OVERRIDE_PURE(
         gridfire::screening::ScreeningType,
         gridfire::engine::DynamicEngine,
-        getScreeningModel
+        getScreeningModel,
+        ctx
     );
 }
 
-size_t PyDynamicEngine::getSpeciesIndex(const fourdst::atomic::Species &species) const {
+size_t PyDynamicEngine::getSpeciesIndex(
+    gridfire::engine::scratch::StateBlob& ctx,
+    const fourdst::atomic::Species &species
+) const {
     PYBIND11_OVERRIDE_PURE(
         int,
         gridfire::engine::DynamicEngine,
         getSpeciesIndex,
+        ctx,
         species
     );
 }
 
-std::vector<double> PyDynamicEngine::mapNetInToMolarAbundanceVector(const gridfire::NetIn &netIn) const {
+gridfire::engine::PrimingReport PyDynamicEngine::primeEngine(
-    PYBIND11_OVERRIDE_PURE(
+    gridfire::engine::scratch::StateBlob& ctx,
-        std::vector<double>,
+    const gridfire::NetIn &netIn
-        gridfire::engine::DynamicEngine,
+) const {
-        mapNetInToMolarAbundanceVector,
-        netIn
-    );
-}
-
-gridfire::engine::PrimingReport PyDynamicEngine::primeEngine(const gridfire::NetIn &netIn) {
     PYBIND11_OVERRIDE_PURE(
         gridfire::engine::PrimingReport,
         gridfire::engine::DynamicEngine,
         primeEngine,
+        ctx,
         netIn
     );
 }
 
 gridfire::engine::EnergyDerivatives PyDynamicEngine::calculateEpsDerivatives(
+    gridfire::engine::scratch::StateBlob& ctx,
     const fourdst::composition::CompositionAbstract &comp,
     const double T9,
-    const double rho) const {
+    const double rho
+) const {
     PYBIND11_OVERRIDE_PURE(
         gridfire::engine::EnergyDerivatives,
         gridfire::engine::DynamicEngine,
         calculateEpsDerivatives,
+        ctx,
         comp,
         T9,
         rho
@@ -293,6 +253,7 @@ gridfire::engine::EnergyDerivatives PyDynamicEngine::calculateEpsDerivatives(
 }
 
 fourdst::composition::Composition PyDynamicEngine::collectComposition(
+    gridfire::engine::scratch::StateBlob& ctx,
     const fourdst::composition::CompositionAbstract &comp,
     const double T9,
     const double rho
@@ -301,21 +262,37 @@ fourdst::composition::Composition PyDynamicEngine::collectComposition(
         fourdst::composition::Composition,
         gridfire::engine::DynamicEngine,
         collectComposition,
+        ctx,
         comp,
         T9,
         rho
     );
 }
 
-gridfire::engine::SpeciesStatus PyDynamicEngine::getSpeciesStatus(const fourdst::atomic::Species &species) const {
+gridfire::engine::SpeciesStatus PyDynamicEngine::getSpeciesStatus(
+    gridfire::engine::scratch::StateBlob& ctx,
+    const fourdst::atomic::Species &species
+) const {
     PYBIND11_OVERRIDE_PURE(
         gridfire::engine::SpeciesStatus,
         gridfire::engine::DynamicEngine,
         getSpeciesStatus,
+        ctx,
         species
     );
 }
 
+std::optional<gridfire::engine::StepDerivatives<double>> PyDynamicEngine::getMostRecentRHSCalculation(
+    gridfire::engine::scratch::StateBlob &ctx
+) const {
+    PYBIND11_OVERRIDE_PURE(
+        PYBIND11_TYPE(std::optional<gridfire::engine::StepDerivatives<double>>),
+        gridfire::engine::DynamicEngine,
+        getMostRecentRHSCalculation,
+        ctx
+    );
+}
+
 const gridfire::engine::Engine& PyEngineView::getBaseEngine() const {
     PYBIND11_OVERRIDE_PURE(
         const gridfire::engine::Engine&,

src/python/engine/trampoline/py_engine.h

@@ -10,12 +10,16 @@
 
 class PyEngine final : public gridfire::engine::Engine {
 public:
-    const std::vector<fourdst::atomic::Species>& getNetworkSpecies() const override;
+    const std::vector<fourdst::atomic::Species>& getNetworkSpecies(
+        gridfire::engine::scratch::StateBlob& ctx
+    ) const override;
 
     std::expected<gridfire::engine::StepDerivatives<double>, gridfire::engine::EngineStatus> calculateRHSAndEnergy(
+        gridfire::engine::scratch::StateBlob& ctx,
         const fourdst::composition::CompositionAbstract &comp,
         double T9,
-        double rho
+        double rho,
+        bool trust
     ) const override;
 private:
     mutable std::vector<fourdst::atomic::Species> m_species_cache;
@@ -23,21 +27,27 @@ private:
 
 class PyDynamicEngine final : public gridfire::engine::DynamicEngine {
 public:
-    const std::vector<fourdst::atomic::Species>& getNetworkSpecies() const override;
+    const std::vector<fourdst::atomic::Species>& getNetworkSpecies(
+        gridfire::engine::scratch::StateBlob& ctx
+    ) const override;
 
     std::expected<gridfire::engine::StepDerivatives<double>, gridfire::engine::EngineStatus> calculateRHSAndEnergy(
+        gridfire::engine::scratch::StateBlob& ctx,
         const fourdst::composition::CompositionAbstract &comp,
         double T9,
-        double rho
+        double rho,
+        bool trust
     ) const override;
 
     gridfire::engine::NetworkJacobian generateJacobianMatrix(
+        gridfire::engine::scratch::StateBlob& ctx,
         const fourdst::composition::CompositionAbstract& comp,
         double T9,
         double rho
     ) const override;
 
     gridfire::engine::NetworkJacobian generateJacobianMatrix(
+        gridfire::engine::scratch::StateBlob& ctx,
         const fourdst::composition::CompositionAbstract &comp,
         double T9,
         double rho,
@@ -45,96 +55,81 @@ public:
     ) const override;
 
     gridfire::engine::NetworkJacobian generateJacobianMatrix(
+        gridfire::engine::scratch::StateBlob& ctx,
         const fourdst::composition::CompositionAbstract& comp,
         double T9,
         double rho,
         const gridfire::engine::SparsityPattern &sparsityPattern
     ) const override;
 
-    void generateStoichiometryMatrix() override;
-
-    int getStoichiometryMatrixEntry(
-        const fourdst::atomic::Species& species,
-        const gridfire::reaction::Reaction& reaction
-    ) const override;
-
     double calculateMolarReactionFlow(
+        gridfire::engine::scratch::StateBlob& ctx,
         const gridfire::reaction::Reaction &reaction,
         const fourdst::composition::CompositionAbstract &comp,
         double T9,
         double rho
     ) const override;
 
-    const gridfire::reaction::ReactionSet& getNetworkReactions() const override;
+    const gridfire::reaction::ReactionSet& getNetworkReactions(
-
+        gridfire::engine::scratch::StateBlob& ctx
-    void setNetworkReactions(
+    ) const override;
-        const gridfire::reaction::ReactionSet& reactions
-    ) override;
 
     std::expected<std::unordered_map<fourdst::atomic::Species, double>, gridfire::engine::EngineStatus> getSpeciesTimescales(
+        gridfire::engine::scratch::StateBlob& ctx,
         const fourdst::composition::CompositionAbstract &comp,
         double T9,
         double rho
     ) const override;
 
     std::expected<std::unordered_map<fourdst::atomic::Species, double>, gridfire::engine::EngineStatus> getSpeciesDestructionTimescales(
+        gridfire::engine::scratch::StateBlob& ctx,
         const fourdst::composition::CompositionAbstract &comp,
         double T9,
         double rho
     ) const override;
 
-    fourdst::composition::Composition update(
+    fourdst::composition::Composition project(
+        gridfire::engine::scratch::StateBlob& ctx,
         const gridfire::NetIn &netIn
-    ) override;
+    ) const override;
 
-    bool isStale(
+    gridfire::screening::ScreeningType getScreeningModel(
-        const gridfire::NetIn &netIn
+        gridfire::engine::scratch::StateBlob& ctx
-    ) override;
+    ) const override;
-
-    void setScreeningModel(
-        gridfire::screening::ScreeningType model
-    ) override;
-
-    gridfire::screening::ScreeningType getScreeningModel() const override;
 
     size_t getSpeciesIndex(
+        gridfire::engine::scratch::StateBlob& ctx,
         const fourdst::atomic::Species &species
     ) const override;
 
-    std::vector<double> mapNetInToMolarAbundanceVector(
+    gridfire::engine::PrimingReport primeEngine(
+        gridfire::engine::scratch::StateBlob& ctx,
         const gridfire::NetIn &netIn
     ) const override;
 
-    gridfire::engine::PrimingReport primeEngine(
-        const gridfire::NetIn &netIn
-    ) override;
-
-    gridfire::engine::BuildDepthType getDepth() const override {
-        throw std::logic_error("Network depth not supported by this engine.");
-    }
-    void rebuild(
-        const fourdst::composition::CompositionAbstract &comp,
-        gridfire::engine::BuildDepthType depth
-    ) override {
-        throw std::logic_error("Setting network depth not supported by this engine.");
-    }
-
     [[nodiscard]] gridfire::engine::EnergyDerivatives calculateEpsDerivatives(
+        gridfire::engine::scratch::StateBlob& ctx,
         const fourdst::composition::CompositionAbstract &comp,
         double T9,
         double rho
     ) const override;
 
     fourdst::composition::Composition collectComposition(
+        gridfire::engine::scratch::StateBlob& ctx,
         const fourdst::composition::CompositionAbstract &comp,
         double T9,
         double rho
     ) const override;
 
     gridfire::engine::SpeciesStatus getSpeciesStatus(
+        gridfire::engine::scratch::StateBlob& ctx,
         const fourdst::atomic::Species &species
     ) const override;
 
+    std::optional<gridfire::engine::StepDerivatives<double>> getMostRecentRHSCalculation(
+        gridfire::engine::scratch::StateBlob &ctx
+    ) const override;
+
 private:
     mutable std::vector<fourdst::atomic::Species> m_species_cache;
 };

src/python/exceptions/bindings.cpp

@@ -2,6 +2,8 @@
 
 #include "bindings.h"
 
+#include "gridfire/exceptions/error_scratchpad.h"
+
 namespace py = pybind11;
 
 #include "gridfire/exceptions/exceptions.h"
@@ -44,4 +46,6 @@ void register_exception_bindings(const py::module &m) {
     py::register_exception<gridfire::exceptions::CVODESolverFailureError>(m, "CVODESolverFailureError", m.attr("SUNDIALSError"));
     py::register_exception<gridfire::exceptions::KINSolSolverFailureError>(m, "KINSolSolverFailureError", m.attr("SUNDIALSError"));
 
+    py::register_exception<gridfire::exceptions::ScratchPadError>(m, "ScratchPadError", m.attr("GridFireError"));
+
 }

src/python/exceptions/meson.build

@@ -1,17 +0,0 @@
-# Define the library
-bindings_sources = files('bindings.cpp')
-bindings_headers = files('bindings.h')
-
-dependencies = [
-    gridfire_dep,
-    python3_dep,
-    pybind11_dep,
-]
-
-shared_module('py_gf_exceptions',
-              bindings_sources,
-              cpp_args: ['-fvisibility=default'],
-              install : true,
-              dependencies: dependencies,
-              include_directories: include_directories('.')
-)

src/python/gridfire/__init__.py

@@ -1,7 +1,7 @@
 from ._gridfire import *
 import sys
 
-from ._gridfire import type, utils, engine, solver, exceptions, partition, reaction, screening, io, policy
+from ._gridfire import type, utils, engine, solver, exceptions, partition, reaction, screening, io, policy, config
 
 sys.modules['gridfire.type'] = type
 sys.modules['gridfire.utils'] = utils
@@ -13,8 +13,61 @@ sys.modules['gridfire.reaction'] = reaction
 sys.modules['gridfire.screening'] = screening
 sys.modules['gridfire.policy'] = policy
 sys.modules['gridfire.io'] = io
+sys.modules['gridfire.config'] = config
 
-__all__ = ['type', 'utils', 'engine', 'solver', 'exceptions', 'partition', 'reaction', 'screening', 'io', 'policy']
+__all__ = ['type', 'utils', 'engine', 'solver', 'exceptions', 'partition', 'reaction', 'screening', 'io', 'policy', 'config']
 
-__version__ = "v0.7.4_rc2"
+import importlib.metadata
 
+try:
+    _meta = importlib.metadata.metadata('gridfire')
+    __version__ = _meta['Version']
+    __author__ = _meta['Author']
+    __license__ = _meta['License']
+    __email__ = _meta['Author-email']
+    __url__ = _meta['Home-page'] or _meta.get('Project-URL', '').split(',')[0].split(' ')[-1].strip()
+    __description__ = _meta['Summary']
+except importlib.metadata.PackageNotFoundError :
+    __version__ = 'unknown - Package not installed'
+    __author__ = 'Emily M. Boudreaux'
+    __license__ = 'GNU General Public License v3.0'
+    __email__ = 'emily.boudreaux@dartmouth.edu'
+    __url__ = 'https://github.com/4D-STAR/GridFire'
+
+def gf_metadata():
+    return {
+        'version': __version__,
+        'author': __author__,
+        'license': __license__,
+        'email': __email__,
+        'url': __url__,
+        'description': __description__
+    }
+
+def gf_version():
+    return __version__
+
+def gf_author():
+    return __author__
+
+def gf_license():
+    return __license__
+
+def gf_email():
+    return __email__
+
+def gf_url():
+    return __url__
+
+def gf_description():
+    return __description__
+
+def gf_collaboration():
+    return "4D-STAR Collaboration"
+
+def gf_credits():
+    return [
+        "Emily M. Boudreaux - Lead Developer",
+        "Aaron Dotter - Co-Developer",
+        "4D-STAR Collaboration - Contributors"
+    ]

src/python/io/meson.build

@@ -1,17 +0,0 @@
-# Define the library
-bindings_sources = files('bindings.cpp')
-bindings_headers = files('bindings.h')
-
-dependencies = [
-    gridfire_dep,
-    python3_dep,
-    pybind11_dep,
-]
-
-shared_module('py_gf_io',
-              bindings_sources,
-              cpp_args: ['-fvisibility=default'],
-              install : true,
-              dependencies: dependencies,
-              include_directories: include_directories('.')
-)

src/python/io/trampoline/meson.build

@@ -1,21 +0,0 @@
-gf_io_trampoline_sources = files('py_io.cpp')
-
-gf_io_trapoline_dependencies = [
-    gridfire_dep,
-    pybind11_dep,
-    python3_dep,
-]
-
-gf_io_trampoline_lib = static_library(
-    'io_trampolines',
-    gf_io_trampoline_sources,
-    include_directories: include_directories('.'),
-    dependencies: gf_io_trapoline_dependencies,
-    install: false,
-)
-
-gr_io_trampoline_dep = declare_dependency(
-    link_with: gf_io_trampoline_lib,
-    include_directories: ('.'),
-    dependencies: gf_io_trapoline_dependencies,
-)

src/python/meson.build

@@ -1,10 +0,0 @@
-subdir('types')
-subdir('utils')
-subdir('exceptions')
-subdir('io')
-subdir('partition')
-subdir('reaction')
-subdir('screening')
-subdir('engine')
-subdir('policy')
-subdir('solver')

src/python/partition/meson.build

@@ -1,19 +0,0 @@
-subdir('trampoline')
-
-# Define the library
-bindings_sources = files('bindings.cpp')
-bindings_headers = files('bindings.h')
-
-dependencies = [
-    gridfire_dep,
-    python3_dep,
-    pybind11_dep,
-]
-
-shared_module('py_gf_partition',
-              bindings_sources,
-              cpp_args: ['-fvisibility=default'],
-              install : true,
-              dependencies: dependencies,
-              include_directories: include_directories('.')
-)

src/python/partition/trampoline/meson.build

@@ -1,21 +0,0 @@
-gf_partition_trampoline_sources = files('py_partition.cpp')
-
-gf_partition_trapoline_dependencies = [
-    gridfire_dep,
-    pybind11_dep,
-    python3_dep,
-]
-
-gf_partition_trampoline_lib = static_library(
-    'partition_trampolines',
-    gf_partition_trampoline_sources,
-    include_directories: include_directories('.'),
-    dependencies: gf_partition_trapoline_dependencies,
-    install: false,
-)
-
-gr_partition_trampoline_dep = declare_dependency(
-    link_with: gf_partition_trampoline_lib,
-    include_directories: ('.'),
-    dependencies: gf_partition_trapoline_dependencies,
-)

src/python/policy/bindings.cpp

@@ -8,7 +8,6 @@
 
 #include "gridfire/policy/policy.h"
 
-PYBIND11_DECLARE_HOLDER_TYPE(T, std::unique_ptr<T>, true) // Declare unique_ptr as a holder type for pybind11
 
 namespace py = pybind11;
 
@@ -103,9 +102,30 @@ namespace {
         .def(
             "construct",
             &T::construct,
-            py::return_value_policy::reference,
             "Construct the network according to the policy."
 
+        )
+        .def(
+            "get_engine_stack",
+            [](const T &self) {
+                const auto& stack = self.get_engine_stack();
+                std::vector<gridfire::engine::DynamicEngine*> engine_ptrs;
+                engine_ptrs.reserve(stack.size());
+                for (const auto& engine_uptr : stack) {
+                    engine_ptrs.push_back(engine_uptr.get());
+                }
+
+                return engine_ptrs;
+            },
+            py::return_value_policy::reference_internal
+        )
+        .def(
+            "get_stack_scratch_blob",
+            &T::get_stack_scratch_blob
+        )
+        .def(
+            "get_partition_function",
+            &T::get_partition_function
         );
     }
 }
@@ -215,6 +235,26 @@ void register_network_policy_bindings(pybind11::module &m) {
         .value("INITIALIZED_VERIFIED", gridfire::policy::NetworkPolicyStatus::INITIALIZED_VERIFIED)
         .export_values();
 
+    m.def("network_policy_status_to_string",
+        &gridfire::policy::NetworkPolicyStatusToString,
+        py::arg("status"),
+        "Convert a NetworkPolicyStatus enum value to its string representation."
+    );
+
+    py::class_<gridfire::policy::ConstructionResults>(m, "ConstructionResults")
+        .def_property_readonly("engine",
+            [](const gridfire::policy::ConstructionResults &self) -> const gridfire::engine::DynamicEngine& {
+                return self.engine;
+            },
+            py::return_value_policy::reference
+        )
+        .def_property_readonly("scratch_blob",
+            [](const gridfire::policy::ConstructionResults &self) {
+                return self.scratch_blob.get();
+            },
+            py::return_value_policy::reference_internal
+        );
+
     py::class_<gridfire::policy::NetworkPolicy, PyNetworkPolicy> py_networkPolicy(m, "NetworkPolicy");
     py::class_<gridfire::policy::MainSequencePolicy, gridfire::policy::NetworkPolicy> py_mainSeqPolicy(m, "MainSequencePolicy");
     py_mainSeqPolicy.def(

src/python/policy/meson.build

@@ -1,19 +0,0 @@
-# Define the library
-subdir('trampoline')
-
-bindings_sources = files('bindings.cpp')
-bindings_headers = files('bindings.h')
-
-dependencies = [
-    gridfire_dep,
-    python3_dep,
-    pybind11_dep,
-]
-
-shared_module('py_gf_policy',
-              bindings_sources,
-              cpp_args: ['-fvisibility=default'],
-              install : true,
-              dependencies: dependencies,
-              include_directories: include_directories('.')
-)

src/python/policy/trampoline/meson.build

@@ -1,21 +0,0 @@
-gf_policy_trampoline_sources = files('py_policy.cpp')
-
-gf_policy_trapoline_dependencies = [
-    gridfire_dep,
-    pybind11_dep,
-    python3_dep,
-]
-
-gf_policy_trampoline_lib = static_library(
-    'policy_trampolines',
-    gf_policy_trampoline_sources,
-    include_directories: include_directories('.'),
-    dependencies: gf_policy_trapoline_dependencies,
-    install: false,
-)
-
-gr_policy_trampoline_dep = declare_dependency(
-    link_with: gf_policy_trampoline_lib,
-    include_directories: ('.'),
-    dependencies: gf_policy_trapoline_dependencies,
-)

src/python/policy/trampoline/py_policy.cpp

@@ -39,9 +39,9 @@ const gridfire::reaction::ReactionSet& PyNetworkPolicy::get_seed_reactions() con
     );
 }
 
-gridfire::engine::DynamicEngine& PyNetworkPolicy::construct() {
+gridfire::policy::ConstructionResults PyNetworkPolicy::construct() {
     PYBIND11_OVERRIDE_PURE(
-        gridfire::engine::DynamicEngine&,
+        gridfire::policy::ConstructionResults,
         gridfire::policy::NetworkPolicy,
         construct
     );
@@ -79,6 +79,14 @@ const std::unique_ptr<gridfire::partition::PartitionFunction>& PyNetworkPolicy::
     );
 }
 
+std::unique_ptr<gridfire::engine::scratch::StateBlob> PyNetworkPolicy::get_stack_scratch_blob() const {
+    PYBIND11_OVERRIDE_PURE(
+        std::unique_ptr<gridfire::engine::scratch::StateBlob>,
+        gridfire::policy::NetworkPolicy,
+        get_stack_scratch_blob
+    );
+}
+
 const gridfire::reaction::ReactionSet &PyReactionChainPolicy::get_reactions() const {
     PYBIND11_OVERRIDE_PURE(
         const gridfire::reaction::ReactionSet &,

src/python/policy/trampoline/py_policy.h

@@ -13,7 +13,7 @@ public:
 
     [[nodiscard]] const gridfire::reaction::ReactionSet& get_seed_reactions() const override;
 
-    [[nodiscard]] gridfire::engine::DynamicEngine& construct() override;
+    [[nodiscard]] gridfire::policy::ConstructionResults construct() override;
 
     [[nodiscard]] gridfire::policy::NetworkPolicyStatus get_status() const override;
 
@@ -22,6 +22,8 @@ public:
     [[nodiscard]] std::vector<gridfire::engine::EngineTypes> get_engine_types_stack() const override;
 
     [[nodiscard]] const std::unique_ptr<gridfire::partition::PartitionFunction>& get_partition_function() const override;
+
+    [[nodiscard]] std::unique_ptr<gridfire::engine::scratch::StateBlob> get_stack_scratch_blob() const override;
 };
 
 class PyReactionChainPolicy final : public gridfire::policy::ReactionChainPolicy {

src/python/reaction/meson.build

@@ -1,17 +0,0 @@
-# Define the library
-bindings_sources = files('bindings.cpp')
-bindings_headers = files('bindings.h')
-
-dependencies = [
-    gridfire_dep,
-    python3_dep,
-    pybind11_dep,
-]
-
-shared_module('py_gf_reaction',
-              bindings_sources,
-              cpp_args: ['-fvisibility=default'],
-              install : true,
-              dependencies: dependencies,
-              include_directories: include_directories('.')
-)

src/python/screening/meson.build

@@ -1,19 +0,0 @@
-subdir('trampoline')
-
-# Define the library
-bindings_sources = files('bindings.cpp')
-bindings_headers = files('bindings.h')
-
-dependencies = [
-    gridfire_dep,
-    python3_dep,
-    pybind11_dep,
-]
-
-shared_module('py_gf_screening',
-              bindings_sources,
-              cpp_args: ['-fvisibility=default'],
-              install : true,
-              dependencies: dependencies,
-              include_directories: include_directories('.')
-)

src/python/screening/trampoline/meson.build

@@ -1,21 +0,0 @@
-gf_screening_trampoline_sources = files('py_screening.cpp')
-
-gf_screening_trapoline_dependencies = [
-    gridfire_dep,
-    pybind11_dep,
-    python3_dep,
-]
-
-gf_screening_trampoline_lib = static_library(
-    'screening_trampolines',
-    gf_screening_trampoline_sources,
-    include_directories: include_directories('.'),
-    dependencies: gf_screening_trapoline_dependencies,
-    install: false,
-)
-
-gr_screening_trampoline_dep = declare_dependency(
-    link_with: gf_screening_trampoline_lib,
-    include_directories: ('.'),
-    dependencies: gf_screening_trapoline_dependencies,
-)

src/python/solver/bindings.cpp

@@ -7,125 +7,226 @@
 
 #include "bindings.h"
 
-#include "gridfire/solver/strategies/CVODE_solver_strategy.h"
+#include "gridfire/solver/strategies/PointSolver.h"
+#include "gridfire/engine/scratchpads/blob.h"
 #include "trampoline/py_solver.h"
 
 namespace py = pybind11;
 
 
 void register_solver_bindings(const py::module &m) {
-    auto py_solver_context_base = py::class_<gridfire::solver::SolverContextBase>(m, "SolverContextBase");
+    auto py_cvode_timestep_context = py::class_<gridfire::solver::PointSolverTimestepContext>(m, "PointSolverTimestepContext");
-
+    py_cvode_timestep_context.def_readonly("t", &gridfire::solver::PointSolverTimestepContext::t);
-    auto py_cvode_timestep_context = py::class_<gridfire::solver::CVODESolverStrategy::TimestepContext, gridfire::solver::SolverContextBase>(m, "CVODETimestepContext");
-    py_cvode_timestep_context.def_readonly("t", &gridfire::solver::CVODESolverStrategy::TimestepContext::t);
     py_cvode_timestep_context.def_property_readonly(
         "state",
-        [](const gridfire::solver::CVODESolverStrategy::TimestepContext& self) -> std::vector<double> {
+        [](const gridfire::solver::PointSolverTimestepContext& self) -> std::vector<double> {
             const sunrealtype* nvec_data = N_VGetArrayPointer(self.state);
             const sunindextype length = N_VGetLength(self.state);
-            return std::vector<double>(nvec_data, nvec_data + length);
+            return {nvec_data, nvec_data + length};
         }
     );
-    py_cvode_timestep_context.def_readonly("dt", &gridfire::solver::CVODESolverStrategy::TimestepContext::dt);
+    py_cvode_timestep_context.def_readonly("dt", &gridfire::solver::PointSolverTimestepContext::dt);
-    py_cvode_timestep_context.def_readonly("last_step_time", &gridfire::solver::CVODESolverStrategy::TimestepContext::last_step_time);
+    py_cvode_timestep_context.def_readonly("last_step_time", &gridfire::solver::PointSolverTimestepContext::last_step_time);
-    py_cvode_timestep_context.def_readonly("T9", &gridfire::solver::CVODESolverStrategy::TimestepContext::T9);
+    py_cvode_timestep_context.def_readonly("T9", &gridfire::solver::PointSolverTimestepContext::T9);
-    py_cvode_timestep_context.def_readonly("rho", &gridfire::solver::CVODESolverStrategy::TimestepContext::rho);
+    py_cvode_timestep_context.def_readonly("rho", &gridfire::solver::PointSolverTimestepContext::rho);
-    py_cvode_timestep_context.def_readonly("num_steps", &gridfire::solver::CVODESolverStrategy::TimestepContext::num_steps);
+    py_cvode_timestep_context.def_readonly("num_steps", &gridfire::solver::PointSolverTimestepContext::num_steps);
-    py_cvode_timestep_context.def_readonly("currentConvergenceFailures", &gridfire::solver::CVODESolverStrategy::TimestepContext::currentConvergenceFailures);
+    py_cvode_timestep_context.def_readonly("currentConvergenceFailures", &gridfire::solver::PointSolverTimestepContext::currentConvergenceFailures);
-    py_cvode_timestep_context.def_readonly("currentNonlinearIterations", &gridfire::solver::CVODESolverStrategy::TimestepContext::currentNonlinearIterations);
+    py_cvode_timestep_context.def_readonly("currentNonlinearIterations", &gridfire::solver::PointSolverTimestepContext::currentNonlinearIterations);
     py_cvode_timestep_context.def_property_readonly(
         "engine",
-        [](const gridfire::solver::CVODESolverStrategy::TimestepContext& self) -> const gridfire::engine::DynamicEngine& {
+        [](const gridfire::solver::PointSolverTimestepContext& self) -> const gridfire::engine::DynamicEngine& {
             return self.engine;
         }
     );
     py_cvode_timestep_context.def_property_readonly(
         "networkSpecies",
-        [](const gridfire::solver::CVODESolverStrategy::TimestepContext& self) -> std::vector<fourdst::atomic::Species> {
+        [](const gridfire::solver::PointSolverTimestepContext& self) -> std::vector<fourdst::atomic::Species> {
             return self.networkSpecies;
         }
     );
+    py_cvode_timestep_context.def_property_readonly(
+        "state_ctx",
+        [](const gridfire::solver::PointSolverTimestepContext& self) {
+            return &(self.state_ctx);
+        },
+        py::return_value_policy::reference_internal
+    );
 
-    auto py_dynamic_network_solver_strategy = py::class_<gridfire::solver::DynamicNetworkSolverStrategy, PyDynamicNetworkSolverStrategy>(m, "DynamicNetworkSolverStrategy");
+
-    py_dynamic_network_solver_strategy.def(
+    auto py_solver_context_base = py::class_<gridfire::solver::SolverContextBase>(m, "SolverContextBase");
+    auto py_point_solver_context = py::class_<gridfire::solver::PointSolverContext, gridfire::solver::SolverContextBase>(m, "PointSolverContext");
+
+    py_point_solver_context
+        .def_readonly(
+            "sun_ctx", &gridfire::solver::PointSolverContext::sun_ctx
+        )
+        .def_readonly(
+            "cvode_mem", &gridfire::solver::PointSolverContext::cvode_mem
+        )
+        .def_readonly(
+            "Y", &gridfire::solver::PointSolverContext::Y
+        )
+        .def_readonly(
+            "YErr",  &gridfire::solver::PointSolverContext::YErr
+        )
+        .def_readonly(
+            "J", &gridfire::solver::PointSolverContext::J
+        )
+        .def_readonly(
+            "LS", &gridfire::solver::PointSolverContext::LS
+        )
+        .def_property_readonly(
+            "engine_ctx",
+            [](const gridfire::solver::PointSolverContext& self) -> gridfire::engine::scratch::StateBlob& {
+                return *(self.engine_ctx);
+            },
+            py::return_value_policy::reference
+        )
+        .def_readonly(
+            "num_steps", &gridfire::solver::PointSolverContext::num_steps
+        )
+        .def_property(
+            "abs_tol",
+            [](const gridfire::solver::PointSolverContext& self) -> double {
+                return self.abs_tol.value();
+            },
+            [](gridfire::solver::PointSolverContext& self, double abs_tol) -> void {
+                self.abs_tol = abs_tol;
+            }
+        )
+        .def_property(
+            "rel_tol",
+            [](const gridfire::solver::PointSolverContext& self) -> double {
+                return self.rel_tol.value();
+            },
+            [](gridfire::solver::PointSolverContext& self, double rel_tol) -> void {
+                self.rel_tol = rel_tol;
+            }
+        )
+        .def_property(
+            "stdout_logging",
+            [](const gridfire::solver::PointSolverContext& self) -> bool {
+                return self.stdout_logging;
+            },
+            [](gridfire::solver::PointSolverContext& self, const bool enable) -> void {
+                self.stdout_logging = enable;
+            }
+        )
+        .def_property(
+            "detailed_logging",
+            [](const gridfire::solver::PointSolverContext& self) -> bool {
+                return self.detailed_step_logging;
+            },
+            [](gridfire::solver::PointSolverContext& self, const bool enable) -> void {
+                self.detailed_step_logging = enable;
+            }
+        )
+        .def_property(
+            "callback",
+            [](const gridfire::solver::PointSolverContext& self) -> std::optional<std::function<void(const gridfire::solver::PointSolverTimestepContext&)>> {
+                return self.callback;
+            },
+            [](gridfire::solver::PointSolverContext& self, const std::optional<std::function<void(const gridfire::solver::PointSolverTimestepContext&)>>& cb) {
+                self.callback = cb;
+            }
+        )
+        .def("reset_all", &gridfire::solver::PointSolverContext::reset_all)
+        .def("reset_user", &gridfire::solver::PointSolverContext::reset_user)
+        .def("reset_cvode", &gridfire::solver::PointSolverContext::reset_cvode)
+        .def("clear_context", &gridfire::solver::PointSolverContext::clear_context)
+        .def("init_context", &gridfire::solver::PointSolverContext::init_context)
+        .def("has_context", &gridfire::solver::PointSolverContext::has_context)
+        .def("init", &gridfire::solver::PointSolverContext::init)
+        .def(py::init<const gridfire::engine::scratch::StateBlob&>(), py::arg("engine_ctx"));
+
+
+
+    auto py_single_zone_dynamic_network_solver = py::class_<gridfire::solver::SingleZoneDynamicNetworkSolver, PySingleZoneDynamicNetworkSolver>(m, "SingleZoneDynamicNetworkSolver");
+    py_single_zone_dynamic_network_solver.def(
         "evaluate",
-        &gridfire::solver::DynamicNetworkSolverStrategy::evaluate,
+        &gridfire::solver::SingleZoneDynamicNetworkSolver::evaluate,
+        py::arg("solver_ctx"),
         py::arg("netIn"),
-        "evaluate the dynamic engine using the dynamic engine class"
+        "evaluate the dynamic engine using the dynamic engine class for a single zone"
+    );
+    auto py_multi_zone_dynamic_network_solver = py::class_<gridfire::solver::MultiZoneDynamicNetworkSolver, PyMultiZoneDynamicNetworkSolver>(m, "MultiZoneDynamicNetworkSolver");
+    py_multi_zone_dynamic_network_solver.def(
+        "evaluate",
+        &gridfire::solver::MultiZoneDynamicNetworkSolver::evaluate,
+        py::arg("solver_ctx"),
+        py::arg("netIns"),
+        "evaluate the dynamic engine using the dynamic engine class for multiple zones (using openmp if available)"
     );
 
+    auto py_point_solver = py::class_<gridfire::solver::PointSolver, gridfire::solver::SingleZoneDynamicNetworkSolver>(m, "PointSolver");
 
-    py_dynamic_network_solver_strategy.def(
+    py_point_solver.def(
-        "describe_callback_context",
-        &gridfire::solver::DynamicNetworkSolverStrategy::describe_callback_context,
-        "Get a structure representing what data is in the callback context in a human readable format"
-    );
-
-    auto py_cvode_solver_strategy = py::class_<gridfire::solver::CVODESolverStrategy, gridfire::solver::DynamicNetworkSolverStrategy>(m, "CVODESolverStrategy");
-
-    py_cvode_solver_strategy.def(
         py::init<gridfire::engine::DynamicEngine&>(),
         py::arg("engine"),
-        "Initialize the CVODESolverStrategy object."
+        "Initialize the PointSolver object."
     );
 
-    py_cvode_solver_strategy.def(
+    py_point_solver.def(
         "evaluate",
-        py::overload_cast<const gridfire::NetIn&, bool>(&gridfire::solver::CVODESolverStrategy::evaluate),
+        py::overload_cast<gridfire::solver::SolverContextBase&, const gridfire::NetIn&, bool, bool>(&gridfire::solver::PointSolver::evaluate, py::const_),
+        py::arg("solver_ctx"),
         py::arg("netIn"),
         py::arg("display_trigger") = false,
+        py::arg("force_reinitialization") = false,
         "evaluate the dynamic engine using the dynamic engine class"
     );
 
-    py_cvode_solver_strategy.def(
+    auto py_grid_solver_context = py::class_<gridfire::solver::GridSolverContext, gridfire::solver::SolverContextBase>(m, "GridSolverContext");
-        "get_stdout_logging_enabled",
+    py_grid_solver_context.def(py::init<const gridfire::engine::scratch::StateBlob&>(), py::arg("ctx_template"));
-        &gridfire::solver::CVODESolverStrategy::get_stdout_logging_enabled,
+    py_grid_solver_context.def("init", &gridfire::solver::GridSolverContext::init);
-        "Check if solver logging to standard output is enabled."
+    py_grid_solver_context.def("reset", &gridfire::solver::GridSolverContext::reset);
+    py_grid_solver_context.def("set_callback", py::overload_cast<const std::function<void(const gridfire::solver::TimestepContextBase&)>&>(&gridfire::solver::GridSolverContext::set_callback) , py::arg("callback"));
+    py_grid_solver_context.def("set_callback", py::overload_cast<const std::function<void(const gridfire::solver::TimestepContextBase&)>&, size_t>(&gridfire::solver::GridSolverContext::set_callback) , py::arg("callback"), py::arg("zone_idx"));
+    py_grid_solver_context.def("clear_callback", py::overload_cast<>(&gridfire::solver::GridSolverContext::clear_callback));
+    py_grid_solver_context.def("clear_callback", py::overload_cast<size_t>(&gridfire::solver::GridSolverContext::clear_callback), py::arg("zone_idx"));
+    py_grid_solver_context.def_property(
+        "stdout_logging",
+        [](const gridfire::solver::GridSolverContext& self) -> bool {
+            return self.zone_stdout_logging;
+        },
+        [](gridfire::solver::GridSolverContext& self, const bool enable) -> void {
+            self.zone_stdout_logging = enable;
+        }
+    )
+    .def_property(
+        "detailed_logging",
+        [](const gridfire::solver::GridSolverContext& self) -> bool {
+            return self.zone_detailed_logging;
+        },
+        [](gridfire::solver::GridSolverContext& self, const bool enable) -> void {
+            self.zone_detailed_logging = enable;
+        }
+    )
+    .def_property(
+        "zone_completion_logging",
+        [](const gridfire::solver::GridSolverContext& self) -> bool {
+            return self.zone_completion_logging;
+        },
+        [](gridfire::solver::GridSolverContext& self, const bool enable) -> void {
+            self.zone_completion_logging = enable;
+        }
     );
 
-    py_cvode_solver_strategy.def(
+    auto py_grid_solver = py::class_<gridfire::solver::GridSolver, gridfire::solver::MultiZoneDynamicNetworkSolver>(m, "GridSolver");
-        "set_stdout_logging_enabled",
+    py_grid_solver.def(
-        &gridfire::solver::CVODESolverStrategy::set_stdout_logging_enabled,
+        py::init<const gridfire::engine::DynamicEngine&, const gridfire::solver::SingleZoneDynamicNetworkSolver&>(),
-        py::arg("logging_enabled"),
+        py::arg("engine"),
-        "Enable logging to standard output."
+        py::arg("solver"),
+        "Initialize the GridSolver object."
     );
 
-    py_cvode_solver_strategy.def(
+    py_grid_solver.def(
-        "set_absTol",
+        "evaluate",
-        &gridfire::solver::CVODESolverStrategy::set_absTol,
+        &gridfire::solver::GridSolver::evaluate,
-        py::arg("absTol"),
+        py::arg("solver_ctx"),
-        "Set the absolute tolerance for the CVODE solver."
+        py::arg("netIns"),
+        "evaluate the dynamic engine using the dynamic engine class"
     );
 
-    py_cvode_solver_strategy.def(
-        "set_relTol",
-        &gridfire::solver::CVODESolverStrategy::set_relTol,
-        py::arg("relTol"),
-        "Set the relative tolerance for the CVODE solver."
-    );
-
-    py_cvode_solver_strategy.def(
-        "get_absTol",
-        &gridfire::solver::CVODESolverStrategy::get_absTol,
-        "Get the absolute tolerance for the CVODE solver."
-    );
-
-    py_cvode_solver_strategy.def(
-        "get_relTol",
-        &gridfire::solver::CVODESolverStrategy::get_relTol,
-        "Get the relative tolerance for the CVODE solver."
-    );
-
-    py_cvode_solver_strategy.def(
-    "set_callback",
-    [](
-        gridfire::solver::CVODESolverStrategy& self,
-        std::function<void(const gridfire::solver::CVODESolverStrategy::TimestepContext&)> cb
-    ) {
-        self.set_callback(std::any(cb));
-    },
-    py::arg("cb"),
-    "Set a callback function which will run at the end of every successful timestep"
-    );
 }
 

src/python/solver/meson.build

@@ -1,17 +0,0 @@
-# Define the library
-bindings_sources = files('bindings.cpp')
-bindings_headers = files('bindings.h')
-
-dependencies = [
-    gridfire_dep,
-    python3_dep,
-    pybind11_dep,
-]
-
-shared_module('py_gf_solver',
-              bindings_sources,
-              cpp_args: ['-fvisibility=default'],
-              install : true,
-              dependencies: dependencies,
-              include_directories: include_directories('.')
-)

src/python/solver/trampoline/meson.build

@@ -1,21 +0,0 @@
-gf_solver_trampoline_sources = files('py_solver.cpp')
-
-gf_solver_trapoline_dependencies = [
-    gridfire_dep,
-    pybind11_dep,
-    python3_dep,
-]
-
-gf_solver_trampoline_lib = static_library(
-    'solver_trampolines',
-    gf_solver_trampoline_sources,
-    include_directories: include_directories('.'),
-    dependencies: gf_solver_trapoline_dependencies,
-    install: false,
-)
-
-gr_solver_trampoline_dep = declare_dependency(
-    link_with: gf_solver_trampoline_lib,
-    include_directories: ('.'),
-    dependencies: gf_solver_trapoline_dependencies,
-)

src/python/solver/trampoline/py_solver.cpp

@@ -13,38 +13,63 @@
 
 namespace py = pybind11;
 
-gridfire::NetOut PyDynamicNetworkSolverStrategy::evaluate(const gridfire::NetIn &netIn) {
+gridfire::NetOut PySingleZoneDynamicNetworkSolver::evaluate(
+    gridfire::solver::SolverContextBase &solver_ctx,
+    const gridfire::NetIn &netIn
+) const {
     PYBIND11_OVERRIDE_PURE(
-        gridfire::NetOut,  // Return type
+        gridfire::NetOut,
-        gridfire::solver::DynamicNetworkSolverStrategy,  // Base class
+        gridfire::solver::SingleZoneDynamicNetworkSolver,
-        evaluate,  // Method name
+        evaluate,
-        netIn  // Arguments
+        solver_ctx,
+        netIn
     );
 }
 
-void PyDynamicNetworkSolverStrategy::set_callback(const std::any &callback) {
+std::vector<gridfire::NetOut> PyMultiZoneDynamicNetworkSolver::evaluate(
+    gridfire::solver::SolverContextBase &solver_ctx,
+    const std::vector<gridfire::NetIn> &netIns
+) const {
     PYBIND11_OVERRIDE_PURE(
-        void,
+        std::vector<gridfire::NetOut>,
-        gridfire::solver::DynamicNetworkSolverStrategy,  // Base class
+        gridfire::solver::MultiZoneDynamicNetworkSolver,
-        set_callback,  // Method name
+        evaluate,
-        callback  // Arguments
+        solver_ctx,
+        netIns
     );
 }
 
-std::vector<std::tuple<std::string, std::string>> PyDynamicNetworkSolverStrategy::describe_callback_context() const {
+std::vector<std::tuple<std::string, std::string>> PyTimestepContextBase::describe() const {
-    using DescriptionVector = std::vector<std::tuple<std::string, std::string>>;
+    using ReturnType = std::vector<std::tuple<std::string, std::string>>;
     PYBIND11_OVERRIDE_PURE(
-        DescriptionVector,  // Return type
+        ReturnType,
-        gridfire::solver::DynamicNetworkSolverStrategy,  // Base class
+        gridfire::solver::TimestepContextBase,
-        describe_callback_context  // Method name
-    );
-}
-
-std::vector<std::tuple<std::string, std::string>> PySolverContextBase::describe() const {
-    using DescriptionVector = std::vector<std::tuple<std::string, std::string>>;
-    PYBIND11_OVERRIDE_PURE(
-        DescriptionVector,
-        gridfire::solver::SolverContextBase,
         describe
     );
 }
+
+void PySolverContextBase::init() {
+    PYBIND11_OVERRIDE_PURE(
+        void,
+        gridfire::solver::SolverContextBase,
+        init
+    );
+}
+
+void PySolverContextBase::set_stdout_logging(bool enable) {
+    PYBIND11_OVERRIDE_PURE(
+        void,
+        gridfire::solver::SolverContextBase,
+        set_stdout_logging,
+        enable
+    );
+}
+
+void PySolverContextBase::set_detailed_logging(bool enable) {
+    PYBIND11_OVERRIDE_PURE(
+        void,
+        gridfire::solver::SolverContextBase,
+        set_detailed_logging,
+        enable
+    );
+}

src/python/solver/trampoline/py_solver.h

@@ -7,14 +7,37 @@
 #include <string>
 #include <any>
 
-class PyDynamicNetworkSolverStrategy final : public gridfire::solver::DynamicNetworkSolverStrategy {
+class PySingleZoneDynamicNetworkSolver final : public gridfire::solver::SingleZoneDynamicNetworkSolver {
-    explicit PyDynamicNetworkSolverStrategy(gridfire::engine::DynamicEngine &engine) : gridfire::solver::DynamicNetworkSolverStrategy(engine) {}
+public:
-    gridfire::NetOut evaluate(const gridfire::NetIn &netIn) override;
+    explicit PySingleZoneDynamicNetworkSolver(const gridfire::engine::DynamicEngine &engine) : gridfire::solver::SingleZoneDynamicNetworkSolver(engine) {}
-    void set_callback(const std::any &callback) override;
+
-    [[nodiscard]] std::vector<std::tuple<std::string, std::string>> describe_callback_context() const override;
+    gridfire::NetOut evaluate(
+        gridfire::solver::SolverContextBase &solver_ctx,
+        const gridfire::NetIn &netIn
+    ) const override;
+};
+
+class PyMultiZoneDynamicNetworkSolver final : public gridfire::solver::MultiZoneDynamicNetworkSolver {
+public:
+    explicit PyMultiZoneDynamicNetworkSolver(
+        const gridfire::engine::DynamicEngine &engine,
+        const gridfire::solver::SingleZoneDynamicNetworkSolver &local_solver
+    ) : gridfire::solver::MultiZoneDynamicNetworkSolver(engine, local_solver) {}
+
+    std::vector<gridfire::NetOut> evaluate(
+        gridfire::solver::SolverContextBase &solver_ctx,
+        const std::vector<gridfire::NetIn> &netIns
+    ) const override;
+};
+
+class PyTimestepContextBase final : public gridfire::solver::TimestepContextBase {
+public:
+    [[nodiscard]] std::vector<std::tuple<std::string, std::string>> describe() const override;
 };
 
 class PySolverContextBase final : public gridfire::solver::SolverContextBase {
 public:
-    [[nodiscard]] std::vector<std::tuple<std::string, std::string>> describe() const override;
+    void init() override;
+    void set_stdout_logging(bool enable) override;
+    void set_detailed_logging(bool enable) override;
 };

src/python/types/meson.build

@@ -1,17 +0,0 @@
-# Define the library
-bindings_sources = files('bindings.cpp')
-bindings_headers = files('bindings.h')
-
-dependencies = [
-    gridfire_dep,
-    python3_dep,
-    pybind11_dep,
-]
-
-shared_module('py_gf_types',
-              bindings_sources,
-              cpp_args: ['-fvisibility=default'],
-              install : true,
-              dependencies: dependencies,
-              include_directories: include_directories('.')
-)

src/python/utils/bindings.cpp

@@ -12,6 +12,7 @@ namespace py = pybind11;
 void register_utils_bindings(py::module &m) {
     m.def("formatNuclearTimescaleLogString",
           &gridfire::utils::formatNuclearTimescaleLogString,
+          py::arg("ctx"),
           py::arg("engine"),
           py::arg("Y"),
           py::arg("T9"),

src/python/utils/meson.build

@@ -1,17 +0,0 @@
-# Define the library
-bindings_sources = files('bindings.cpp')
-bindings_headers = files('bindings.h')
-
-dependencies = [
-    gridfire_dep,
-    python3_dep,
-    pybind11_dep,
-]
-
-shared_module('py_gf_utils',
-              bindings_sources,
-              cpp_args: ['-fvisibility=default'],
-              install : true,
-              dependencies: dependencies,
-              include_directories: include_directories('.')
-)

stubs/gridfire/_gridfire/__init__.pyi

@@ -2,6 +2,7 @@
 Python bindings for the fourdst utility modules which are a part of the 4D-STAR project.
 """
 from __future__ import annotations
+from . import config
 from . import engine
 from . import exceptions
 from . import io
@@ -12,4 +13,4 @@ from . import screening
 from . import solver
 from . import type
 from . import utils
-__all__: list[str] = ['engine', 'exceptions', 'io', 'partition', 'policy', 'reaction', 'screening', 'solver', 'type', 'utils']
+__all__: list[str] = ['config', 'engine', 'exceptions', 'io', 'partition', 'policy', 'reaction', 'screening', 'solver', 'type', 'utils']

stubs/gridfire/_gridfire/config.pyi

@@ -0,0 +1,47 @@
+"""
+GridFire configuration bindings
+"""
+from __future__ import annotations
+import typing
+__all__: list[str] = ['AdaptiveEngineViewConfig', 'CVODESolverConfig', 'EngineConfig', 'EngineViewConfig', 'GridFireConfig', 'SolverConfig']
+class AdaptiveEngineViewConfig:
+    def __init__(self) -> None:
+        ...
+    @property
+    def relativeCullingThreshold(self) -> float:
+        ...
+    @relativeCullingThreshold.setter
+    def relativeCullingThreshold(self, arg0: typing.SupportsFloat) -> None:
+        ...
+class CVODESolverConfig:
+    def __init__(self) -> None:
+        ...
+    @property
+    def absTol(self) -> float:
+        ...
+    @absTol.setter
+    def absTol(self, arg0: typing.SupportsFloat) -> None:
+        ...
+    @property
+    def relTol(self) -> float:
+        ...
+    @relTol.setter
+    def relTol(self, arg0: typing.SupportsFloat) -> None:
+        ...
+class EngineConfig:
+    views: EngineViewConfig
+    def __init__(self) -> None:
+        ...
+class EngineViewConfig:
+    adaptiveEngineView: AdaptiveEngineViewConfig
+    def __init__(self) -> None:
+        ...
+class GridFireConfig:
+    engine: EngineConfig
+    solver: SolverConfig
+    def __init__(self) -> None:
+        ...
+class SolverConfig:
+    cvode: CVODESolverConfig
+    def __init__(self) -> None:
+        ...

stubs/gridfire/_gridfire/engine/__init__.pyi

@@ -14,110 +14,81 @@ import numpy
 import numpy.typing
 import typing
 from . import diagnostics
-__all__: list[str] = ['ACTIVE', 'ADAPTIVE_ENGINE_VIEW', 'AdaptiveEngineView', 'BuildDepthType', 'DEFAULT', 'DEFINED_ENGINE_VIEW', 'DefinedEngineView', 'DynamicEngine', 'EQUILIBRIUM', 'Engine', 'EngineTypes', 'FILE_DEFINED_ENGINE_VIEW', 'FULL_SUCCESS', 'FifthOrder', 'FileDefinedEngineView', 'FourthOrder', 'Full', 'GRAPH_ENGINE', 'GraphEngine', 'INACTIVE_FLOW', 'MAX_ITERATIONS_REACHED', 'MULTISCALE_PARTITIONING_ENGINE_VIEW', 'MultiscalePartitioningEngineView', 'NONE', 'NOT_PRESENT', 'NO_SPECIES_TO_PRIME', 'NetworkBuildDepth', 'NetworkConstructionFlags', 'NetworkJacobian', 'NetworkPrimingEngineView', 'PRIMING_ENGINE_VIEW', 'PrimingReport', 'PrimingReportStatus', 'REACLIB', 'REACLIB_STRONG', 'REACLIB_WEAK', 'SecondOrder', 'Shallow', 'SparsityPattern', 'SpeciesStatus', 'StepDerivatives', 'ThirdOrder', 'WRL_BETA_MINUS', 'WRL_BETA_PLUS', 'WRL_ELECTRON_CAPTURE', 'WRL_POSITRON_CAPTURE', 'WRL_WEAK', 'build_nuclear_network', 'diagnostics', 'primeNetwork', 'regularize_jacobian']
+from . import scratchpads
+__all__: list[str] = ['ACTIVE', 'ADAPTIVE_ENGINE_VIEW', 'AdaptiveEngineView', 'BuildDepthType', 'DEFAULT', 'DEFINED_ENGINE_VIEW', 'DefinedEngineView', 'DynamicEngine', 'EQUILIBRIUM', 'Engine', 'EngineTypes', 'FILE_DEFINED_ENGINE_VIEW', 'FULL_SUCCESS', 'FifthOrder', 'FileDefinedEngineView', 'FourthOrder', 'Full', 'GRAPH_ENGINE', 'GraphEngine', 'INACTIVE_FLOW', 'MAX_ITERATIONS_REACHED', 'MULTISCALE_PARTITIONING_ENGINE_VIEW', 'MultiscalePartitioningEngineView', 'NONE', 'NOT_PRESENT', 'NO_SPECIES_TO_PRIME', 'NetworkBuildDepth', 'NetworkConstructionFlags', 'NetworkJacobian', 'NetworkPrimingEngineView', 'PRIMING_ENGINE_VIEW', 'PrimingReport', 'PrimingReportStatus', 'REACLIB', 'REACLIB_STRONG', 'REACLIB_WEAK', 'SecondOrder', 'Shallow', 'SparsityPattern', 'SpeciesStatus', 'StepDerivatives', 'ThirdOrder', 'WRL_BETA_MINUS', 'WRL_BETA_PLUS', 'WRL_ELECTRON_CAPTURE', 'WRL_POSITRON_CAPTURE', 'WRL_WEAK', 'build_nuclear_network', 'diagnostics', 'primeNetwork', 'regularize_jacobian', 'scratchpads']
 class AdaptiveEngineView(DynamicEngine):
     def __init__(self, baseEngine: DynamicEngine) -> None:
         """
         Construct an adaptive engine view with a base engine.
         """
-    def calculateEpsDerivatives(self, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
+    def calculateEpsDerivatives(self, ctx: scratchpads.StateBlob, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
         """
         Calculate deps/dT and deps/drho
         """
-    def calculateMolarReactionFlow(self: DynamicEngine, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
+    def calculateMolarReactionFlow(self: DynamicEngine, ctx: scratchpads.StateBlob, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
         """
         Calculate the molar reaction flow for a given reaction.
         """
-    def calculateRHSAndEnergy(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
+    def calculateRHSAndEnergy(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
         """
         Calculate the right-hand side (dY/dt) and energy generation rate.
         """
-    def collectComposition(self, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
+    def collectComposition(self, ctx: scratchpads.StateBlob, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
         """
         Recursively collect composition from current engine and any sub engines if they exist.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
         """
         Generate the Jacobian matrix for the current state.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
         """
         Generate the jacobian matrix only for the subset of the matrix representing the active species.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
         """
         Generate the jacobian matrix for the given sparsity pattern
         """
-    def generateStoichiometryMatrix(self) -> None:
-        ...
     def getBaseEngine(self) -> DynamicEngine:
         """
         Get the base engine associated with this adaptive engine view.
         """
-    def getDepth(self) -> gridfire._gridfire.engine.NetworkBuildDepth | int:
+    def getNetworkReactions(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.reaction.ReactionSet:
-        """
-        Get the current build depth of the engine.
-        """
-    def getNetworkReactions(self) -> gridfire._gridfire.reaction.ReactionSet:
         """
         Get the set of logical reactions in the network.
         """
-    def getNetworkSpecies(self) -> list[fourdst._phys.atomic.Species]:
+    def getNetworkSpecies(self, arg0: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
         """
         Get the list of species in the network.
         """
-    def getScreeningModel(self) -> gridfire._gridfire.screening.ScreeningType:
+    def getScreeningModel(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.screening.ScreeningType:
         """
         Get the current screening model of the engine.
         """
-    def getSpeciesDestructionTimescales(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+    def getSpeciesDestructionTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
         """
         Get the destruction timescales for each species in the network.
         """
-    def getSpeciesIndex(self, species: fourdst._phys.atomic.Species) -> int:
+    def getSpeciesIndex(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> int:
         """
         Get the index of a species in the network.
         """
-    def getSpeciesStatus(self, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
+    def getSpeciesStatus(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
         """
         Get the status of a species in the network.
         """
-    def getSpeciesTimescales(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+    def getSpeciesTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
         """
         Get the timescales for each species in the network.
         """
-    def getStoichiometryMatrixEntry(self, species: fourdst._phys.atomic.Species, reaction: ...) -> int:
+    def primeEngine(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
-        """
-        Get an entry from the stoichiometry matrix.
-        """
-    def isStale(self, netIn: gridfire._gridfire.type.NetIn) -> bool:
-        """
-        Check if the engine is stale based on the provided NetIn object.
-        """
-    def mapNetInToMolarAbundanceVector(self, netIn: gridfire._gridfire.type.NetIn) -> list[float]:
-        """
-        Map a NetIn object to a vector of molar abundances.
-        """
-    def primeEngine(self, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
         """
         Prime the engine with a NetIn object to prepare for calculations.
         """
-    def rebuild(self, composition: ..., depth: gridfire._gridfire.engine.NetworkBuildDepth | typing.SupportsInt = ...) -> None:
+    def project(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
-        """
-        Rebuild the engine with a new composition and build depth.
-        """
-    def setNetworkReactions(self, reactions: gridfire._gridfire.reaction.ReactionSet) -> None:
-        """
-        Set the network reactions to a new set of reactions.
-        """
-    def setScreeningModel(self, screeningModel: gridfire._gridfire.screening.ScreeningType) -> None:
-        """
-        Set the screening model for the engine.
-        """
-    def update(self, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
         """
         Update the engine state based on the provided NetIn object.
         """
@@ -128,104 +99,74 @@ class DefinedEngineView(DynamicEngine):
         """
         Construct a defined engine view with a list of tracked reactions and a base engine.
         """
-    def calculateEpsDerivatives(self, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
+    def calculateEpsDerivatives(self, ctx: scratchpads.StateBlob, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
         """
         Calculate deps/dT and deps/drho
         """
-    def calculateMolarReactionFlow(self: DynamicEngine, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
+    def calculateMolarReactionFlow(self: DynamicEngine, ctx: scratchpads.StateBlob, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
         """
         Calculate the molar reaction flow for a given reaction.
         """
-    def calculateRHSAndEnergy(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
+    def calculateRHSAndEnergy(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
         """
         Calculate the right-hand side (dY/dt) and energy generation rate.
         """
-    def collectComposition(self, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
+    def collectComposition(self, ctx: scratchpads.StateBlob, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
         """
         Recursively collect composition from current engine and any sub engines if they exist.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
         """
         Generate the Jacobian matrix for the current state.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
         """
         Generate the jacobian matrix only for the subset of the matrix representing the active species.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
         """
         Generate the jacobian matrix for the given sparsity pattern
         """
-    def generateStoichiometryMatrix(self) -> None:
-        ...
     def getBaseEngine(self) -> DynamicEngine:
         """
         Get the base engine associated with this defined engine view.
         """
-    def getDepth(self) -> gridfire._gridfire.engine.NetworkBuildDepth | int:
+    def getNetworkReactions(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.reaction.ReactionSet:
-        """
-        Get the current build depth of the engine.
-        """
-    def getNetworkReactions(self) -> gridfire._gridfire.reaction.ReactionSet:
         """
         Get the set of logical reactions in the network.
         """
-    def getNetworkSpecies(self) -> list[fourdst._phys.atomic.Species]:
+    def getNetworkSpecies(self, arg0: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
         """
         Get the list of species in the network.
         """
-    def getScreeningModel(self) -> gridfire._gridfire.screening.ScreeningType:
+    def getScreeningModel(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.screening.ScreeningType:
         """
         Get the current screening model of the engine.
         """
-    def getSpeciesDestructionTimescales(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+    def getSpeciesDestructionTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
         """
         Get the destruction timescales for each species in the network.
         """
-    def getSpeciesIndex(self, species: fourdst._phys.atomic.Species) -> int:
+    def getSpeciesIndex(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> int:
         """
         Get the index of a species in the network.
         """
-    def getSpeciesStatus(self, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
+    def getSpeciesStatus(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
         """
         Get the status of a species in the network.
         """
-    def getSpeciesTimescales(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+    def getSpeciesTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
         """
         Get the timescales for each species in the network.
         """
-    def getStoichiometryMatrixEntry(self, species: fourdst._phys.atomic.Species, reaction: ...) -> int:
+    def primeEngine(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
-        """
-        Get an entry from the stoichiometry matrix.
-        """
-    def isStale(self, netIn: gridfire._gridfire.type.NetIn) -> bool:
-        """
-        Check if the engine is stale based on the provided NetIn object.
-        """
-    def mapNetInToMolarAbundanceVector(self, netIn: gridfire._gridfire.type.NetIn) -> list[float]:
-        """
-        Map a NetIn object to a vector of molar abundances.
-        """
-    def primeEngine(self, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
         """
         Prime the engine with a NetIn object to prepare for calculations.
         """
-    def rebuild(self, composition: ..., depth: gridfire._gridfire.engine.NetworkBuildDepth | typing.SupportsInt = ...) -> None:
+    def project(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
-        """
-        Rebuild the engine with a new composition and build depth.
-        """
-    def setNetworkReactions(self, reactions: gridfire._gridfire.reaction.ReactionSet) -> None:
-        """
-        Set the network reactions to a new set of reactions.
-        """
-    def setScreeningModel(self, screeningModel: gridfire._gridfire.screening.ScreeningType) -> None:
-        """
-        Set the screening model for the engine.
-        """
-    def update(self, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
         """
         Update the engine state based on the provided NetIn object.
         """
@@ -293,56 +234,50 @@ class FileDefinedEngineView(DefinedEngineView):
         """
         Construct a defined engine view from a file and a base engine.
         """
-    def calculateEpsDerivatives(self, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
+    def calculateEpsDerivatives(self, ctx: scratchpads.StateBlob, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
         """
         Calculate deps/dT and deps/drho
         """
-    def calculateMolarReactionFlow(self: DynamicEngine, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
+    def calculateMolarReactionFlow(self: DynamicEngine, ctx: scratchpads.StateBlob, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
         """
         Calculate the molar reaction flow for a given reaction.
         """
-    def calculateRHSAndEnergy(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
+    def calculateRHSAndEnergy(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
         """
         Calculate the right-hand side (dY/dt) and energy generation rate.
         """
-    def collectComposition(self, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
+    def collectComposition(self, ctx: scratchpads.StateBlob, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
         """
         Recursively collect composition from current engine and any sub engines if they exist.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
         """
         Generate the Jacobian matrix for the current state.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
         """
         Generate the jacobian matrix only for the subset of the matrix representing the active species.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
         """
         Generate the jacobian matrix for the given sparsity pattern
         """
-    def generateStoichiometryMatrix(self) -> None:
-        ...
     def getBaseEngine(self) -> DynamicEngine:
         """
         Get the base engine associated with this file defined engine view.
         """
-    def getDepth(self) -> gridfire._gridfire.engine.NetworkBuildDepth | int:
-        """
-        Get the current build depth of the engine.
-        """
     def getNetworkFile(self) -> str:
         """
         Get the network file associated with this defined engine view.
         """
-    def getNetworkReactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+    def getNetworkReactions(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.reaction.ReactionSet:
         """
         Get the set of logical reactions in the network.
         """
-    def getNetworkSpecies(self) -> list[fourdst._phys.atomic.Species]:
+    def getNetworkSpecies(self, arg0: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
         """
         Get the list of species in the network.
         """
@@ -350,64 +285,35 @@ class FileDefinedEngineView(DefinedEngineView):
         """
         Get the parser used for this defined engine view.
         """
-    def getScreeningModel(self) -> gridfire._gridfire.screening.ScreeningType:
+    def getScreeningModel(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.screening.ScreeningType:
         """
         Get the current screening model of the engine.
         """
-    def getSpeciesDestructionTimescales(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+    def getSpeciesDestructionTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
         """
         Get the destruction timescales for each species in the network.
         """
-    def getSpeciesIndex(self, species: fourdst._phys.atomic.Species) -> int:
+    def getSpeciesIndex(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> int:
         """
         Get the index of a species in the network.
         """
-    def getSpeciesStatus(self, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
+    def getSpeciesStatus(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
         """
         Get the status of a species in the network.
         """
-    def getSpeciesTimescales(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+    def getSpeciesTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
         """
         Get the timescales for each species in the network.
         """
-    def getStoichiometryMatrixEntry(self, species: fourdst._phys.atomic.Species, reaction: ...) -> int:
+    def primeEngine(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
-        """
-        Get an entry from the stoichiometry matrix.
-        """
-    def isStale(self, netIn: gridfire._gridfire.type.NetIn) -> bool:
-        """
-        Check if the engine is stale based on the provided NetIn object.
-        """
-    def mapNetInToMolarAbundanceVector(self, netIn: gridfire._gridfire.type.NetIn) -> list[float]:
-        """
-        Map a NetIn object to a vector of molar abundances.
-        """
-    def primeEngine(self, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
         """
         Prime the engine with a NetIn object to prepare for calculations.
         """
-    def rebuild(self, composition: ..., depth: gridfire._gridfire.engine.NetworkBuildDepth | typing.SupportsInt = ...) -> None:
+    def project(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
-        """
-        Rebuild the engine with a new composition and build depth.
-        """
-    def setNetworkReactions(self, reactions: gridfire._gridfire.reaction.ReactionSet) -> None:
-        """
-        Set the network reactions to a new set of reactions.
-        """
-    def setScreeningModel(self, screeningModel: gridfire._gridfire.screening.ScreeningType) -> None:
-        """
-        Set the screening model for the engine.
-        """
-    def update(self, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
         """
         Update the engine state based on the provided NetIn object.
         """
 class GraphEngine(DynamicEngine):
-    @staticmethod
-    def getNetReactionStoichiometry(reaction: ...) -> dict[fourdst._phys.atomic.Species, int]:
-        """
-        Get the net stoichiometry for a given reaction.
-        """
     @typing.overload
     def __init__(self, composition: fourdst._phys.composition.Composition, depth: gridfire._gridfire.engine.NetworkBuildDepth | typing.SupportsInt = ...) -> None:
         """
@@ -423,15 +329,15 @@ class GraphEngine(DynamicEngine):
         """
         Initialize GraphEngine with a set of reactions.
         """
-    def calculateEpsDerivatives(self, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
+    def calculateEpsDerivatives(self, ctx: scratchpads.StateBlob, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
         """
         Calculate deps/dT and deps/drho
         """
-    def calculateMolarReactionFlow(self: DynamicEngine, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
+    def calculateMolarReactionFlow(self: DynamicEngine, ctx: scratchpads.StateBlob, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
         """
         Calculate the molar reaction flow for a given reaction.
         """
-    def calculateRHSAndEnergy(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
+    def calculateRHSAndEnergy(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
         """
         Calculate the right-hand side (dY/dt) and energy generation rate.
         """
@@ -447,128 +353,90 @@ class GraphEngine(DynamicEngine):
         """
         Calculate the derivative of the reverse rate for a two-body reaction at a specific temperature.
         """
-    def collectComposition(self, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
+    def collectComposition(self, ctx: scratchpads.StateBlob, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
         """
         Recursively collect composition from current engine and any sub engines if they exist.
         """
-    def exportToCSV(self, filename: str) -> None:
+    def exportToCSV(self, ctx: scratchpads.StateBlob, filename: str) -> None:
         """
         Export the network to a CSV file for analysis.
         """
-    def exportToDot(self, filename: str) -> None:
+    def exportToDot(self, ctx: scratchpads.StateBlob, filename: str) -> None:
         """
         Export the network to a DOT file for visualization.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
         """
         Generate the Jacobian matrix for the current state.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
         """
         Generate the jacobian matrix only for the subset of the matrix representing the active species.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
         """
         Generate the jacobian matrix for the given sparsity pattern
         """
-    def generateStoichiometryMatrix(self) -> None:
+    def getNetworkReactions(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.reaction.ReactionSet:
-        ...
-    def getDepth(self) -> gridfire._gridfire.engine.NetworkBuildDepth | int:
-        """
-        Get the current build depth of the engine.
-        """
-    def getNetworkReactions(self) -> gridfire._gridfire.reaction.ReactionSet:
         """
         Get the set of logical reactions in the network.
         """
-    def getNetworkSpecies(self) -> list[fourdst._phys.atomic.Species]:
+    def getNetworkSpecies(self, arg0: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
         """
         Get the list of species in the network.
         """
-    def getPartitionFunction(self) -> gridfire._gridfire.partition.PartitionFunction:
+    def getPartitionFunction(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.partition.PartitionFunction:
         """
         Get the partition function used by the engine.
         """
-    def getScreeningModel(self) -> gridfire._gridfire.screening.ScreeningType:
+    def getScreeningModel(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.screening.ScreeningType:
         """
         Get the current screening model of the engine.
         """
     @typing.overload
-    def getSpeciesDestructionTimescales(self, composition: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeReactions: gridfire._gridfire.reaction.ReactionSet) -> ...:
+    def getSpeciesDestructionTimescales(self, ctx: scratchpads.StateBlob, composition: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeReactions: gridfire._gridfire.reaction.ReactionSet) -> ...:
         ...
     @typing.overload
-    def getSpeciesDestructionTimescales(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+    def getSpeciesDestructionTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
         """
         Get the destruction timescales for each species in the network.
         """
-    def getSpeciesIndex(self, species: fourdst._phys.atomic.Species) -> int:
+    def getSpeciesIndex(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> int:
         """
         Get the index of a species in the network.
         """
-    def getSpeciesStatus(self, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
+    def getSpeciesStatus(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
         """
         Get the status of a species in the network.
         """
     @typing.overload
-    def getSpeciesTimescales(self, composition: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeReactions: gridfire._gridfire.reaction.ReactionSet) -> ...:
+    def getSpeciesTimescales(self, ctx: scratchpads.StateBlob, composition: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeReactions: gridfire._gridfire.reaction.ReactionSet) -> ...:
         ...
     @typing.overload
-    def getSpeciesTimescales(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+    def getSpeciesTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
         """
         Get the timescales for each species in the network.
         """
-    def getStoichiometryMatrixEntry(self, species: fourdst._phys.atomic.Species, reaction: ...) -> int:
+    def involvesSpecies(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> bool:
-        """
-        Get an entry from the stoichiometry matrix.
-        """
-    def involvesSpecies(self, species: fourdst._phys.atomic.Species) -> bool:
         """
         Check if a given species is involved in the network.
         """
-    def isPrecomputationEnabled(self) -> bool:
+    def isPrecomputationEnabled(self, arg0: scratchpads.StateBlob) -> bool:
         """
         Check if precomputation is enabled for the engine.
         """
-    def isStale(self, netIn: gridfire._gridfire.type.NetIn) -> bool:
+    def isUsingReverseReactions(self, arg0: scratchpads.StateBlob) -> bool:
-        """
-        Check if the engine is stale based on the provided NetIn object.
-        """
-    def isUsingReverseReactions(self) -> bool:
         """
         Check if the engine is using reverse reactions.
         """
-    def mapNetInToMolarAbundanceVector(self, netIn: gridfire._gridfire.type.NetIn) -> list[float]:
+    def primeEngine(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
-        """
-        Map a NetIn object to a vector of molar abundances.
-        """
-    def primeEngine(self, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
         """
         Prime the engine with a NetIn object to prepare for calculations.
         """
-    def rebuild(self, composition: ..., depth: gridfire._gridfire.engine.NetworkBuildDepth | typing.SupportsInt = ...) -> None:
+    def project(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
-        """
-        Rebuild the engine with a new composition and build depth.
-        """
-    def setNetworkReactions(self, reactions: gridfire._gridfire.reaction.ReactionSet) -> None:
-        """
-        Set the network reactions to a new set of reactions.
-        """
-    def setPrecomputation(self, precompute: bool) -> None:
-        """
-        Enable or disable precomputation for the engine.
-        """
-    def setScreeningModel(self, screeningModel: gridfire._gridfire.screening.ScreeningType) -> None:
-        """
-        Set the screening model for the engine.
-        """
-    def setUseReverseReactions(self, useReverse: bool) -> None:
-        """
-        Enable or disable the use of reverse reactions in the engine.
-        """
-    def update(self, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
         """
         Update the engine state based on the provided NetIn object.
         """
@@ -577,142 +445,106 @@ class MultiscalePartitioningEngineView(DynamicEngine):
         """
         Construct a multiscale partitioning engine view with a base engine.
         """
-    def calculateEpsDerivatives(self, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
+    def calculateEpsDerivatives(self, ctx: scratchpads.StateBlob, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
         """
         Calculate deps/dT and deps/drho
         """
-    def calculateMolarReactionFlow(self: DynamicEngine, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
+    def calculateMolarReactionFlow(self: DynamicEngine, ctx: scratchpads.StateBlob, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
         """
         Calculate the molar reaction flow for a given reaction.
         """
-    def calculateRHSAndEnergy(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
+    def calculateRHSAndEnergy(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
         """
         Calculate the right-hand side (dY/dt) and energy generation rate.
         """
-    def collectComposition(self, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
+    def collectComposition(self, ctx: scratchpads.StateBlob, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
         """
         Recursively collect composition from current engine and any sub engines if they exist.
         """
-    def exportToDot(self, filename: str, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> None:
+    def exportToDot(self, ctx: scratchpads.StateBlob, filename: str, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> None:
         """
         Export the network to a DOT file for visualization.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
         """
         Generate the Jacobian matrix for the current state.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
         """
         Generate the jacobian matrix only for the subset of the matrix representing the active species.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
         """
         Generate the jacobian matrix for the given sparsity pattern
         """
-    def generateStoichiometryMatrix(self) -> None:
-        ...
     def getBaseEngine(self) -> DynamicEngine:
         """
         Get the base engine associated with this multiscale partitioning engine view.
         """
-    def getDepth(self) -> gridfire._gridfire.engine.NetworkBuildDepth | int:
+    def getDynamicSpecies(self: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
-        """
-        Get the current build depth of the engine.
-        """
-    def getDynamicSpecies(self) -> list[fourdst._phys.atomic.Species]:
         """
         Get the list of dynamic species in the network.
         """
-    def getFastSpecies(self) -> list[fourdst._phys.atomic.Species]:
+    def getFastSpecies(self, arg0: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
         """
         Get the list of fast species in the network.
         """
-    def getNetworkReactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+    def getNetworkReactions(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.reaction.ReactionSet:
         """
         Get the set of logical reactions in the network.
         """
-    def getNetworkSpecies(self) -> list[fourdst._phys.atomic.Species]:
+    def getNetworkSpecies(self, arg0: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
         """
         Get the list of species in the network.
         """
-    def getNormalizedEquilibratedComposition(self, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
+    def getNormalizedEquilibratedComposition(self, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
         """
         Get the normalized equilibrated composition for the algebraic species.
         """
-    def getScreeningModel(self) -> gridfire._gridfire.screening.ScreeningType:
+    def getScreeningModel(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.screening.ScreeningType:
         """
         Get the current screening model of the engine.
         """
-    def getSpeciesDestructionTimescales(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+    def getSpeciesDestructionTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
         """
         Get the destruction timescales for each species in the network.
         """
-    def getSpeciesIndex(self, species: fourdst._phys.atomic.Species) -> int:
+    def getSpeciesIndex(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> int:
         """
         Get the index of a species in the network.
         """
-    def getSpeciesStatus(self, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
+    def getSpeciesStatus(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
         """
         Get the status of a species in the network.
         """
-    def getSpeciesTimescales(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+    def getSpeciesTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
         """
         Get the timescales for each species in the network.
         """
-    def getStoichiometryMatrixEntry(self, species: fourdst._phys.atomic.Species, reaction: ...) -> int:
+    def involvesSpecies(self: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> bool:
-        """
-        Get an entry from the stoichiometry matrix.
-        """
-    def involvesSpecies(self, species: fourdst._phys.atomic.Species) -> bool:
         """
         Check if a given species is involved in the network (in either the algebraic or dynamic set).
         """
-    def involvesSpeciesInDynamic(self, species: fourdst._phys.atomic.Species) -> bool:
+    def involvesSpeciesInDynamic(self: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> bool:
         """
         Check if a given species is involved in the network's dynamic set.
         """
-    def involvesSpeciesInQSE(self, species: fourdst._phys.atomic.Species) -> bool:
+    def involvesSpeciesInQSE(self: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> bool:
         """
         Check if a given species is involved in the network's algebraic set.
         """
-    def isStale(self, netIn: gridfire._gridfire.type.NetIn) -> bool:
+    def partitionNetwork(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
-        """
-        Check if the engine is stale based on the provided NetIn object.
-        """
-    def mapNetInToMolarAbundanceVector(self, netIn: gridfire._gridfire.type.NetIn) -> list[float]:
-        """
-        Map a NetIn object to a vector of molar abundances.
-        """
-    @typing.overload
-    def partitionNetwork(self, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
         """
         Partition the network based on species timescales and connectivity.
         """
-    @typing.overload
+    def primeEngine(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
-    def partitionNetwork(self, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
-        """
-        Partition the network based on a NetIn object.
-        """
-    def primeEngine(self, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
         """
         Prime the engine with a NetIn object to prepare for calculations.
         """
-    def rebuild(self, composition: ..., depth: gridfire._gridfire.engine.NetworkBuildDepth | typing.SupportsInt = ...) -> None:
+    def project(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
-        """
-        Rebuild the engine with a new composition and build depth.
-        """
-    def setNetworkReactions(self, reactions: gridfire._gridfire.reaction.ReactionSet) -> None:
-        """
-        Set the network reactions to a new set of reactions.
-        """
-    def setScreeningModel(self, screeningModel: gridfire._gridfire.screening.ScreeningType) -> None:
-        """
-        Set the screening model for the engine.
-        """
-    def update(self, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
         """
         Update the engine state based on the provided NetIn object.
         """
@@ -893,113 +725,83 @@ class NetworkJacobian:
         """
 class NetworkPrimingEngineView(DefinedEngineView):
     @typing.overload
-    def __init__(self, primingSymbol: str, baseEngine: GraphEngine) -> None:
+    def __init__(self, ctx: scratchpads.StateBlob, primingSymbol: str, baseEngine: GraphEngine) -> None:
         """
         Construct a priming engine view with a priming symbol and a base engine.
         """
     @typing.overload
-    def __init__(self, primingSpecies: fourdst._phys.atomic.Species, baseEngine: GraphEngine) -> None:
+    def __init__(self, ctx: scratchpads.StateBlob, primingSpecies: fourdst._phys.atomic.Species, baseEngine: GraphEngine) -> None:
         """
         Construct a priming engine view with a priming species and a base engine.
         """
-    def calculateEpsDerivatives(self, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
+    def calculateEpsDerivatives(self, ctx: scratchpads.StateBlob, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
         """
         Calculate deps/dT and deps/drho
         """
-    def calculateMolarReactionFlow(self: DynamicEngine, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
+    def calculateMolarReactionFlow(self: DynamicEngine, ctx: scratchpads.StateBlob, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
         """
         Calculate the molar reaction flow for a given reaction.
         """
-    def calculateRHSAndEnergy(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
+    def calculateRHSAndEnergy(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
         """
         Calculate the right-hand side (dY/dt) and energy generation rate.
         """
-    def collectComposition(self, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
+    def collectComposition(self, ctx: scratchpads.StateBlob, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
         """
         Recursively collect composition from current engine and any sub engines if they exist.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
         """
         Generate the Jacobian matrix for the current state.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
         """
         Generate the jacobian matrix only for the subset of the matrix representing the active species.
         """
     @typing.overload
-    def generateJacobianMatrix(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
         """
         Generate the jacobian matrix for the given sparsity pattern
         """
-    def generateStoichiometryMatrix(self) -> None:
-        ...
     def getBaseEngine(self) -> DynamicEngine:
         """
         Get the base engine associated with this priming engine view.
         """
-    def getDepth(self) -> gridfire._gridfire.engine.NetworkBuildDepth | int:
+    def getNetworkReactions(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.reaction.ReactionSet:
-        """
-        Get the current build depth of the engine.
-        """
-    def getNetworkReactions(self) -> gridfire._gridfire.reaction.ReactionSet:
         """
         Get the set of logical reactions in the network.
         """
-    def getNetworkSpecies(self) -> list[fourdst._phys.atomic.Species]:
+    def getNetworkSpecies(self, arg0: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
         """
         Get the list of species in the network.
         """
-    def getScreeningModel(self) -> gridfire._gridfire.screening.ScreeningType:
+    def getScreeningModel(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.screening.ScreeningType:
         """
         Get the current screening model of the engine.
         """
-    def getSpeciesDestructionTimescales(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+    def getSpeciesDestructionTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
         """
         Get the destruction timescales for each species in the network.
         """
-    def getSpeciesIndex(self, species: fourdst._phys.atomic.Species) -> int:
+    def getSpeciesIndex(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> int:
         """
         Get the index of a species in the network.
         """
-    def getSpeciesStatus(self, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
+    def getSpeciesStatus(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
         """
         Get the status of a species in the network.
         """
-    def getSpeciesTimescales(self: DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+    def getSpeciesTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
         """
         Get the timescales for each species in the network.
         """
-    def getStoichiometryMatrixEntry(self, species: fourdst._phys.atomic.Species, reaction: ...) -> int:
+    def primeEngine(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
-        """
-        Get an entry from the stoichiometry matrix.
-        """
-    def isStale(self, netIn: gridfire._gridfire.type.NetIn) -> bool:
-        """
-        Check if the engine is stale based on the provided NetIn object.
-        """
-    def mapNetInToMolarAbundanceVector(self, netIn: gridfire._gridfire.type.NetIn) -> list[float]:
-        """
-        Map a NetIn object to a vector of molar abundances.
-        """
-    def primeEngine(self, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
         """
         Prime the engine with a NetIn object to prepare for calculations.
         """
-    def rebuild(self, composition: ..., depth: gridfire._gridfire.engine.NetworkBuildDepth | typing.SupportsInt = ...) -> None:
+    def project(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
-        """
-        Rebuild the engine with a new composition and build depth.
-        """
-    def setNetworkReactions(self, reactions: gridfire._gridfire.reaction.ReactionSet) -> None:
-        """
-        Set the network reactions to a new set of reactions.
-        """
-    def setScreeningModel(self, screeningModel: gridfire._gridfire.screening.ScreeningType) -> None:
-        """
-        Set the screening model for the engine.
-        """
-    def update(self, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
         """
         Update the engine state based on the provided NetIn object.
         """
@@ -1131,7 +933,7 @@ def build_nuclear_network(composition: ..., weakInterpolator: ..., maxLayers: gr
     """
     Build a nuclear network from a composition using all archived reaction data.
     """
-def primeNetwork(netIn: gridfire._gridfire.type.NetIn, engine: ..., ignoredReactionTypes: collections.abc.Sequence[...] | None = None) -> PrimingReport:
+def primeNetwork(ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn, engine: ..., ignoredReactionTypes: collections.abc.Sequence[...] | None = None) -> PrimingReport:
     """
     Prime a network with a short timescale ignition
     """

stubs/gridfire/_gridfire/engine/diagnostics.pyi

@@ -5,11 +5,12 @@ from __future__ import annotations
 import collections.abc
 import fourdst._phys.composition
 import gridfire._gridfire.engine
+import gridfire._gridfire.engine.scratchpads
 import typing
 __all__: list[str] = ['inspect_jacobian_stiffness', 'inspect_species_balance', 'report_limiting_species']
-def inspect_jacobian_stiffness(engine: gridfire._gridfire.engine.DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, json: bool) -> ... | None:
+def inspect_jacobian_stiffness(ctx: gridfire._gridfire.engine.scratchpads.StateBlob, engine: gridfire._gridfire.engine.DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, json: bool) -> ... | None:
     ...
-def inspect_species_balance(engine: gridfire._gridfire.engine.DynamicEngine, species_name: str, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, json: bool) -> ... | None:
+def inspect_species_balance(ctx: gridfire._gridfire.engine.scratchpads.StateBlob, engine: gridfire._gridfire.engine.DynamicEngine, species_name: str, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, json: bool) -> ... | None:
     ...
-def report_limiting_species(engine: gridfire._gridfire.engine.DynamicEngine, Y_full: collections.abc.Sequence[typing.SupportsFloat], E_full: collections.abc.Sequence[typing.SupportsFloat], relTol: typing.SupportsFloat, absTol: typing.SupportsFloat, top_n: typing.SupportsInt, json: bool) -> ... | None:
+def report_limiting_species(ctx: gridfire._gridfire.engine.scratchpads.StateBlob, engine: gridfire._gridfire.engine.DynamicEngine, Y_full: collections.abc.Sequence[typing.SupportsFloat], E_full: collections.abc.Sequence[typing.SupportsFloat], relTol: typing.SupportsFloat, absTol: typing.SupportsFloat, top_n: typing.SupportsInt, json: bool) -> ... | None:
     ...

stubs/gridfire/_gridfire/engine/scratchpads.pyi

@@ -0,0 +1,267 @@
+"""
+Engine ScratchPad bindings
+"""
+from __future__ import annotations
+import fourdst._phys.atomic
+import fourdst._phys.composition
+import gridfire._gridfire.reaction
+import typing
+__all__: list[str] = ['ADAPTIVE_ENGINE_VIEW_SCRATCHPAD', 'ADFunRegistrationResult', 'ALREADY_REGISTERED', 'AdaptiveEngineViewScratchPad', 'DEFINED_ENGINE_VIEW_SCRATCHPAD', 'DefinedEngineViewScratchPad', 'GRAPH_ENGINE_SCRATCHPAD', 'GraphEngineScratchPad', 'MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD', 'MultiscalePartitioningEngineViewScratchPad', 'SCRATCHPAD_BAD_CAST', 'SCRATCHPAD_NOT_FOUND', 'SCRATCHPAD_NOT_INITIALIZED', 'SCRATCHPAD_OUT_OF_BOUNDS', 'SCRATCHPAD_TYPE_COLLISION', 'SCRATCHPAD_UNKNOWN_ERROR', 'SUCCESS', 'ScratchPadType', 'StateBlob', 'StateBlobError']
+class ADFunRegistrationResult:
+    """
+    Members:
+    
+      SUCCESS
+    
+      ALREADY_REGISTERED
+    """
+    ALREADY_REGISTERED: typing.ClassVar[ADFunRegistrationResult]  # value = <ADFunRegistrationResult.ALREADY_REGISTERED: 1>
+    SUCCESS: typing.ClassVar[ADFunRegistrationResult]  # value = <ADFunRegistrationResult.SUCCESS: 0>
+    __members__: typing.ClassVar[dict[str, ADFunRegistrationResult]]  # value = {'SUCCESS': <ADFunRegistrationResult.SUCCESS: 0>, 'ALREADY_REGISTERED': <ADFunRegistrationResult.ALREADY_REGISTERED: 1>}
+    def __eq__(self, other: typing.Any) -> bool:
+        ...
+    def __getstate__(self) -> int:
+        ...
+    def __hash__(self) -> int:
+        ...
+    def __index__(self) -> int:
+        ...
+    def __init__(self, value: typing.SupportsInt) -> None:
+        ...
+    def __int__(self) -> int:
+        ...
+    def __ne__(self, other: typing.Any) -> bool:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __setstate__(self, state: typing.SupportsInt) -> None:
+        ...
+    def __str__(self) -> str:
+        ...
+    @property
+    def name(self) -> str:
+        ...
+    @property
+    def value(self) -> int:
+        ...
+class AdaptiveEngineViewScratchPad:
+    ID: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.ADAPTIVE_ENGINE_VIEW_SCRATCHPAD: 2>
+    def __init__(self) -> None:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def clone(self) -> ...:
+        ...
+    def initialize(self, arg0: ...) -> None:
+        ...
+    def is_initialized(self) -> bool:
+        ...
+    @property
+    def active_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        ...
+    @property
+    def active_species(self) -> list[fourdst._phys.atomic.Species]:
+        ...
+    @property
+    def has_initialized(self) -> bool:
+        ...
+class DefinedEngineViewScratchPad:
+    ID: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.DEFINED_ENGINE_VIEW_SCRATCHPAD: 3>
+    def __init__(self) -> None:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def clone(self) -> ...:
+        ...
+    def is_initialized(self) -> bool:
+        ...
+    @property
+    def active_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        ...
+    @property
+    def active_species(self) -> set[fourdst._phys.atomic.Species]:
+        ...
+    @property
+    def has_initialized(self) -> bool:
+        ...
+    @property
+    def reaction_index_map(self) -> list[int]:
+        ...
+    @property
+    def species_index_map(self) -> list[int]:
+        ...
+class GraphEngineScratchPad:
+    ID: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.GRAPH_ENGINE_SCRATCHPAD: 0>
+    def __init__(self) -> None:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def clone(self) -> ...:
+        ...
+    def initialize(self, engine: ...) -> None:
+        ...
+    def is_initialized(self) -> bool:
+        ...
+    @property
+    def has_initialized(self) -> bool:
+        ...
+    @property
+    def local_abundance_cache(self) -> list[float]:
+        ...
+    @property
+    def most_recent_rhs_calculation(self) -> ... | None:
+        ...
+    @property
+    def stepDerivativesCache(self) -> dict[int, ...]:
+        ...
+class MultiscalePartitioningEngineViewScratchPad:
+    ID: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD: 1>
+    def __init__(self) -> None:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def clone(self) -> ...:
+        ...
+    def initialize(self) -> None:
+        ...
+    def is_initialized(self) -> bool:
+        ...
+    @property
+    def algebraic_species(self) -> list[fourdst._phys.atomic.Species]:
+        ...
+    @property
+    def composition_cache(self) -> dict[int, fourdst._phys.composition.Composition]:
+        ...
+    @property
+    def dynamic_species(self) -> list[fourdst._phys.atomic.Species]:
+        ...
+    @property
+    def has_initialized(self) -> bool:
+        ...
+    @property
+    def qse_groups(self) -> list[...]:
+        ...
+class ScratchPadType:
+    """
+    Members:
+    
+      GRAPH_ENGINE_SCRATCHPAD
+    
+      MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD
+    
+      ADAPTIVE_ENGINE_VIEW_SCRATCHPAD
+    
+      DEFINED_ENGINE_VIEW_SCRATCHPAD
+    """
+    ADAPTIVE_ENGINE_VIEW_SCRATCHPAD: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.ADAPTIVE_ENGINE_VIEW_SCRATCHPAD: 2>
+    DEFINED_ENGINE_VIEW_SCRATCHPAD: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.DEFINED_ENGINE_VIEW_SCRATCHPAD: 3>
+    GRAPH_ENGINE_SCRATCHPAD: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.GRAPH_ENGINE_SCRATCHPAD: 0>
+    MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD: 1>
+    __members__: typing.ClassVar[dict[str, ScratchPadType]]  # value = {'GRAPH_ENGINE_SCRATCHPAD': <ScratchPadType.GRAPH_ENGINE_SCRATCHPAD: 0>, 'MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD': <ScratchPadType.MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD: 1>, 'ADAPTIVE_ENGINE_VIEW_SCRATCHPAD': <ScratchPadType.ADAPTIVE_ENGINE_VIEW_SCRATCHPAD: 2>, 'DEFINED_ENGINE_VIEW_SCRATCHPAD': <ScratchPadType.DEFINED_ENGINE_VIEW_SCRATCHPAD: 3>}
+    def __eq__(self, other: typing.Any) -> bool:
+        ...
+    def __getstate__(self) -> int:
+        ...
+    def __hash__(self) -> int:
+        ...
+    def __index__(self) -> int:
+        ...
+    def __init__(self, value: typing.SupportsInt) -> None:
+        ...
+    def __int__(self) -> int:
+        ...
+    def __ne__(self, other: typing.Any) -> bool:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __setstate__(self, state: typing.SupportsInt) -> None:
+        ...
+    def __str__(self) -> str:
+        ...
+    @property
+    def name(self) -> str:
+        ...
+    @property
+    def value(self) -> int:
+        ...
+class StateBlob:
+    @staticmethod
+    def error_to_string(arg0: StateBlobError) -> str:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def clone_structure(self) -> StateBlob:
+        ...
+    def enroll(self, arg0: ScratchPadType) -> None:
+        ...
+    def get(self, arg0: ScratchPadType) -> ...:
+        ...
+    def get_registered_scratchpads(self) -> set[ScratchPadType]:
+        ...
+    def get_status(self, arg0: ScratchPadType) -> ...:
+        ...
+    def get_status_map(self) -> dict[ScratchPadType, ...]:
+        ...
+class StateBlobError:
+    """
+    Members:
+    
+      SCRATCHPAD_OUT_OF_BOUNDS
+    
+      SCRATCHPAD_NOT_FOUND
+    
+      SCRATCHPAD_BAD_CAST
+    
+      SCRATCHPAD_NOT_INITIALIZED
+    
+      SCRATCHPAD_TYPE_COLLISION
+    
+      SCRATCHPAD_UNKNOWN_ERROR
+    """
+    SCRATCHPAD_BAD_CAST: typing.ClassVar[StateBlobError]  # value = <StateBlobError.SCRATCHPAD_BAD_CAST: 1>
+    SCRATCHPAD_NOT_FOUND: typing.ClassVar[StateBlobError]  # value = <StateBlobError.SCRATCHPAD_NOT_FOUND: 0>
+    SCRATCHPAD_NOT_INITIALIZED: typing.ClassVar[StateBlobError]  # value = <StateBlobError.SCRATCHPAD_NOT_INITIALIZED: 2>
+    SCRATCHPAD_OUT_OF_BOUNDS: typing.ClassVar[StateBlobError]  # value = <StateBlobError.SCRATCHPAD_OUT_OF_BOUNDS: 4>
+    SCRATCHPAD_TYPE_COLLISION: typing.ClassVar[StateBlobError]  # value = <StateBlobError.SCRATCHPAD_TYPE_COLLISION: 3>
+    SCRATCHPAD_UNKNOWN_ERROR: typing.ClassVar[StateBlobError]  # value = <StateBlobError.SCRATCHPAD_UNKNOWN_ERROR: 5>
+    __members__: typing.ClassVar[dict[str, StateBlobError]]  # value = {'SCRATCHPAD_OUT_OF_BOUNDS': <StateBlobError.SCRATCHPAD_OUT_OF_BOUNDS: 4>, 'SCRATCHPAD_NOT_FOUND': <StateBlobError.SCRATCHPAD_NOT_FOUND: 0>, 'SCRATCHPAD_BAD_CAST': <StateBlobError.SCRATCHPAD_BAD_CAST: 1>, 'SCRATCHPAD_NOT_INITIALIZED': <StateBlobError.SCRATCHPAD_NOT_INITIALIZED: 2>, 'SCRATCHPAD_TYPE_COLLISION': <StateBlobError.SCRATCHPAD_TYPE_COLLISION: 3>, 'SCRATCHPAD_UNKNOWN_ERROR': <StateBlobError.SCRATCHPAD_UNKNOWN_ERROR: 5>}
+    def __eq__(self, other: typing.Any) -> bool:
+        ...
+    def __getstate__(self) -> int:
+        ...
+    def __hash__(self) -> int:
+        ...
+    def __index__(self) -> int:
+        ...
+    def __init__(self, value: typing.SupportsInt) -> None:
+        ...
+    def __int__(self) -> int:
+        ...
+    def __ne__(self, other: typing.Any) -> bool:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __setstate__(self, state: typing.SupportsInt) -> None:
+        ...
+    def __str__(self) -> str:
+        ...
+    @property
+    def name(self) -> str:
+        ...
+    @property
+    def value(self) -> int:
+        ...
+ADAPTIVE_ENGINE_VIEW_SCRATCHPAD: ScratchPadType  # value = <ScratchPadType.ADAPTIVE_ENGINE_VIEW_SCRATCHPAD: 2>
+ALREADY_REGISTERED: ADFunRegistrationResult  # value = <ADFunRegistrationResult.ALREADY_REGISTERED: 1>
+DEFINED_ENGINE_VIEW_SCRATCHPAD: ScratchPadType  # value = <ScratchPadType.DEFINED_ENGINE_VIEW_SCRATCHPAD: 3>
+GRAPH_ENGINE_SCRATCHPAD: ScratchPadType  # value = <ScratchPadType.GRAPH_ENGINE_SCRATCHPAD: 0>
+MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD: ScratchPadType  # value = <ScratchPadType.MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD: 1>
+SCRATCHPAD_BAD_CAST: StateBlobError  # value = <StateBlobError.SCRATCHPAD_BAD_CAST: 1>
+SCRATCHPAD_NOT_FOUND: StateBlobError  # value = <StateBlobError.SCRATCHPAD_NOT_FOUND: 0>
+SCRATCHPAD_NOT_INITIALIZED: StateBlobError  # value = <StateBlobError.SCRATCHPAD_NOT_INITIALIZED: 2>
+SCRATCHPAD_OUT_OF_BOUNDS: StateBlobError  # value = <StateBlobError.SCRATCHPAD_OUT_OF_BOUNDS: 4>
+SCRATCHPAD_TYPE_COLLISION: StateBlobError  # value = <StateBlobError.SCRATCHPAD_TYPE_COLLISION: 3>
+SCRATCHPAD_UNKNOWN_ERROR: StateBlobError  # value = <StateBlobError.SCRATCHPAD_UNKNOWN_ERROR: 5>
+SUCCESS: ADFunRegistrationResult  # value = <ADFunRegistrationResult.SUCCESS: 0>

stubs/gridfire/_gridfire/exceptions.pyi

@@ -2,7 +2,7 @@
 GridFire exceptions bindings
 """
 from __future__ import annotations
-__all__: list[str] = ['BadCollectionError', 'BadRHSEngineError', 'CVODESolverFailureError', 'DebugException', 'EngineError', 'FailedToPartitionEngineError', 'GridFireError', 'HashingError', 'IllConditionedJacobianError', 'InvalidQSESolutionError', 'JacobianError', 'KINSolSolverFailureError', 'MissingBaseReactionError', 'MissingKeyReactionError', 'MissingSeedSpeciesError', 'NetworkResizedError', 'PolicyError', 'ReactionError', 'ReactionParsingError', 'SUNDIALSError', 'SingularJacobianError', 'SolverError', 'StaleJacobianError', 'UnableToSetNetworkReactionsError', 'UninitializedJacobianError', 'UnknownJacobianError', 'UtilityError']
+__all__: list[str] = ['BadCollectionError', 'BadRHSEngineError', 'CVODESolverFailureError', 'DebugException', 'EngineError', 'FailedToPartitionEngineError', 'GridFireError', 'HashingError', 'IllConditionedJacobianError', 'InvalidQSESolutionError', 'JacobianError', 'KINSolSolverFailureError', 'MissingBaseReactionError', 'MissingKeyReactionError', 'MissingSeedSpeciesError', 'NetworkResizedError', 'PolicyError', 'ReactionError', 'ReactionParsingError', 'SUNDIALSError', 'ScratchPadError', 'SingularJacobianError', 'SolverError', 'StaleJacobianError', 'UnableToSetNetworkReactionsError', 'UninitializedJacobianError', 'UnknownJacobianError', 'UtilityError']
 class BadCollectionError(EngineError):
     pass
 class BadRHSEngineError(EngineError):
@@ -43,6 +43,8 @@ class ReactionParsingError(ReactionError):
     pass
 class SUNDIALSError(SolverError):
     pass
+class ScratchPadError(GridFireError):
+    pass
 class SingularJacobianError(SolverError):
     pass
 class SolverError(GridFireError):

stubs/gridfire/_gridfire/policy.pyi

@@ -6,9 +6,11 @@ import collections.abc
 import fourdst._phys.atomic
 import fourdst._phys.composition
 import gridfire._gridfire.engine
+import gridfire._gridfire.engine.scratchpads
+import gridfire._gridfire.partition
 import gridfire._gridfire.reaction
 import typing
-__all__: list[str] = ['CNOChainPolicy', 'CNOIChainPolicy', 'CNOIIChainPolicy', 'CNOIIIChainPolicy', 'CNOIVChainPolicy', 'HotCNOChainPolicy', 'HotCNOIChainPolicy', 'HotCNOIIChainPolicy', 'HotCNOIIIChainPolicy', 'INITIALIZED_UNVERIFIED', 'INITIALIZED_VERIFIED', 'MISSING_KEY_REACTION', 'MISSING_KEY_SPECIES', 'MainSequencePolicy', 'MainSequenceReactionChainPolicy', 'MultiReactionChainPolicy', 'NetworkPolicy', 'NetworkPolicyStatus', 'ProtonProtonChainPolicy', 'ProtonProtonIChainPolicy', 'ProtonProtonIIChainPolicy', 'ProtonProtonIIIChainPolicy', 'ReactionChainPolicy', 'TemperatureDependentChainPolicy', 'TripleAlphaChainPolicy', 'UNINITIALIZED']
+__all__: list[str] = ['CNOChainPolicy', 'CNOIChainPolicy', 'CNOIIChainPolicy', 'CNOIIIChainPolicy', 'CNOIVChainPolicy', 'ConstructionResults', 'HotCNOChainPolicy', 'HotCNOIChainPolicy', 'HotCNOIIChainPolicy', 'HotCNOIIIChainPolicy', 'INITIALIZED_UNVERIFIED', 'INITIALIZED_VERIFIED', 'MISSING_KEY_REACTION', 'MISSING_KEY_SPECIES', 'MainSequencePolicy', 'MainSequenceReactionChainPolicy', 'MultiReactionChainPolicy', 'NetworkPolicy', 'NetworkPolicyStatus', 'ProtonProtonChainPolicy', 'ProtonProtonIChainPolicy', 'ProtonProtonIIChainPolicy', 'ProtonProtonIIIChainPolicy', 'ReactionChainPolicy', 'TemperatureDependentChainPolicy', 'TripleAlphaChainPolicy', 'UNINITIALIZED', 'network_policy_status_to_string']
 class CNOChainPolicy(MultiReactionChainPolicy):
     def __eq__(self, other: ReactionChainPolicy) -> bool:
         """
@@ -224,6 +226,13 @@ class CNOIVChainPolicy(TemperatureDependentChainPolicy):
         """
         Get the name of the reaction chain policy.
         """
+class ConstructionResults:
+    @property
+    def engine(self) -> gridfire._gridfire.engine.DynamicEngine:
+        ...
+    @property
+    def scratch_blob(self) -> gridfire._gridfire.engine.scratchpads.StateBlob:
+        ...
 class HotCNOChainPolicy(MultiReactionChainPolicy):
     def __eq__(self, other: ReactionChainPolicy) -> bool:
         """
@@ -407,14 +416,18 @@ class MainSequencePolicy(NetworkPolicy):
         """
         Construct MainSequencePolicy from seed species and mass fractions.
         """
-    def construct(self) -> gridfire._gridfire.engine.DynamicEngine:
+    def construct(self) -> ConstructionResults:
         """
         Construct the network according to the policy.
         """
+    def get_engine_stack(self) -> list[gridfire._gridfire.engine.DynamicEngine]:
+        ...
     def get_engine_types_stack(self) -> list[gridfire._gridfire.engine.EngineTypes]:
         """
         Get the types of engines in the stack constructed by the network policy.
         """
+    def get_partition_function(self) -> gridfire._gridfire.partition.PartitionFunction:
+        ...
     def get_seed_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
         """
         Get the set of seed reactions required by the network policy.
@@ -423,6 +436,8 @@ class MainSequencePolicy(NetworkPolicy):
         """
         Get the set of seed species required by the network policy.
         """
+    def get_stack_scratch_blob(self) -> gridfire._gridfire.engine.scratchpads.StateBlob:
+        ...
     def get_status(self) -> NetworkPolicyStatus:
         """
         Get the current status of the network policy.
@@ -743,6 +758,10 @@ class TripleAlphaChainPolicy(TemperatureDependentChainPolicy):
         """
         Get the name of the reaction chain policy.
         """
+def network_policy_status_to_string(status: NetworkPolicyStatus) -> str:
+    """
+    Convert a NetworkPolicyStatus enum value to its string representation.
+    """
 INITIALIZED_UNVERIFIED: NetworkPolicyStatus  # value = <NetworkPolicyStatus.INITIALIZED_UNVERIFIED: 1>
 INITIALIZED_VERIFIED: NetworkPolicyStatus  # value = <NetworkPolicyStatus.INITIALIZED_VERIFIED: 4>
 MISSING_KEY_REACTION: NetworkPolicyStatus  # value = <NetworkPolicyStatus.MISSING_KEY_REACTION: 2>

stubs/gridfire/_gridfire/solver.pyi

@@ -5,47 +5,113 @@ from __future__ import annotations
 import collections.abc
 import fourdst._phys.atomic
 import gridfire._gridfire.engine
+import gridfire._gridfire.engine.scratchpads
 import gridfire._gridfire.type
+import types
 import typing
-__all__: list[str] = ['CVODESolverStrategy', 'CVODETimestepContext', 'DynamicNetworkSolverStrategy', 'SolverContextBase']
+__all__: list[str] = ['GridSolver', 'GridSolverContext', 'MultiZoneDynamicNetworkSolver', 'PointSolver', 'PointSolverContext', 'PointSolverTimestepContext', 'SingleZoneDynamicNetworkSolver', 'SolverContextBase']
-class CVODESolverStrategy(DynamicNetworkSolverStrategy):
+class GridSolver(MultiZoneDynamicNetworkSolver):
-    def __init__(self, engine: gridfire._gridfire.engine.DynamicEngine) -> None:
+    def __init__(self, engine: gridfire._gridfire.engine.DynamicEngine, solver: SingleZoneDynamicNetworkSolver) -> None:
         """
-        Initialize the CVODESolverStrategy object.
+        Initialize the GridSolver object.
         """
-    def evaluate(self, netIn: gridfire._gridfire.type.NetIn, display_trigger: bool = False) -> gridfire._gridfire.type.NetOut:
+    def evaluate(self, solver_ctx: SolverContextBase, netIns: collections.abc.Sequence[gridfire._gridfire.type.NetIn]) -> list[gridfire._gridfire.type.NetOut]:
         """
         evaluate the dynamic engine using the dynamic engine class
         """
-    def get_absTol(self) -> float:
+class GridSolverContext(SolverContextBase):
+    detailed_logging: bool
+    stdout_logging: bool
+    zone_completion_logging: bool
+    def __init__(self, ctx_template: gridfire._gridfire.engine.scratchpads.StateBlob) -> None:
+        ...
+    @typing.overload
+    def clear_callback(self) -> None:
+        ...
+    @typing.overload
+    def clear_callback(self, zone_idx: typing.SupportsInt) -> None:
+        ...
+    def init(self) -> None:
+        ...
+    def reset(self) -> None:
+        ...
+    @typing.overload
+    def set_callback(self, callback: collections.abc.Callable[[...], None]) -> None:
+        ...
+    @typing.overload
+    def set_callback(self, callback: collections.abc.Callable[[...], None], zone_idx: typing.SupportsInt) -> None:
+        ...
+class MultiZoneDynamicNetworkSolver:
+    def evaluate(self, solver_ctx: SolverContextBase, netIns: collections.abc.Sequence[gridfire._gridfire.type.NetIn]) -> list[gridfire._gridfire.type.NetOut]:
         """
-        Get the absolute tolerance for the CVODE solver.
+        evaluate the dynamic engine using the dynamic engine class for multiple zones (using openmp if available)
         """
-    def get_relTol(self) -> float:
+class PointSolver(SingleZoneDynamicNetworkSolver):
+    def __init__(self, engine: gridfire._gridfire.engine.DynamicEngine) -> None:
         """
-        Get the relative tolerance for the CVODE solver.
+        Initialize the PointSolver object.
         """
-    def get_stdout_logging_enabled(self) -> bool:
+    def evaluate(self, solver_ctx: SolverContextBase, netIn: gridfire._gridfire.type.NetIn, display_trigger: bool = False, force_reinitialization: bool = False) -> gridfire._gridfire.type.NetOut:
         """
-        Check if solver logging to standard output is enabled.
+        evaluate the dynamic engine using the dynamic engine class
         """
-    def set_absTol(self, absTol: typing.SupportsFloat) -> None:
+class PointSolverContext:
-        """
+    callback: collections.abc.Callable[[PointSolverTimestepContext], None] | None
-        Set the absolute tolerance for the CVODE solver.
+    detailed_logging: bool
-        """
+    stdout_logging: bool
-    def set_callback(self, cb: collections.abc.Callable[[CVODETimestepContext], None]) -> None:
+    def __init__(self, engine_ctx: gridfire._gridfire.engine.scratchpads.StateBlob) -> None:
-        """
+        ...
-        Set a callback function which will run at the end of every successful timestep
+    def clear_context(self) -> None:
-        """
+        ...
-    def set_relTol(self, relTol: typing.SupportsFloat) -> None:
+    def has_context(self) -> bool:
-        """
+        ...
-        Set the relative tolerance for the CVODE solver.
+    def init(self) -> None:
-        """
+        ...
-    def set_stdout_logging_enabled(self, logging_enabled: bool) -> None:
+    def init_context(self) -> None:
-        """
+        ...
-        Enable logging to standard output.
+    def reset_all(self) -> None:
-        """
+        ...
-class CVODETimestepContext(SolverContextBase):
+    def reset_cvode(self) -> None:
+        ...
+    def reset_user(self) -> None:
+        ...
+    @property
+    def J(self) -> _generic_SUNMatrix:
+        ...
+    @property
+    def LS(self) -> _generic_SUNLinearSolver:
+        ...
+    @property
+    def Y(self) -> _generic_N_Vector:
+        ...
+    @property
+    def YErr(self) -> _generic_N_Vector:
+        ...
+    @property
+    def abs_tol(self) -> float:
+        ...
+    @abs_tol.setter
+    def abs_tol(self, arg1: typing.SupportsFloat) -> None:
+        ...
+    @property
+    def cvode_mem(self) -> types.CapsuleType:
+        ...
+    @property
+    def engine_ctx(self) -> gridfire._gridfire.engine.scratchpads.StateBlob:
+        ...
+    @property
+    def num_steps(self) -> int:
+        ...
+    @property
+    def rel_tol(self) -> float:
+        ...
+    @rel_tol.setter
+    def rel_tol(self, arg1: typing.SupportsFloat) -> None:
+        ...
+    @property
+    def sun_ctx(self) -> SUNContext_:
+        ...
+class PointSolverTimestepContext:
     @property
     def T9(self) -> float:
         ...
@@ -77,16 +143,15 @@ class CVODETimestepContext(SolverContextBase):
     def state(self) -> list[float]:
         ...
     @property
+    def state_ctx(self) -> gridfire._gridfire.engine.scratchpads.StateBlob:
+        ...
+    @property
     def t(self) -> float:
         ...
-class DynamicNetworkSolverStrategy:
+class SingleZoneDynamicNetworkSolver:
-    def describe_callback_context(self) -> list[tuple[str, str]]:
+    def evaluate(self, solver_ctx: SolverContextBase, netIn: gridfire._gridfire.type.NetIn) -> gridfire._gridfire.type.NetOut:
         """
-        Get a structure representing what data is in the callback context in a human readable format
+        evaluate the dynamic engine using the dynamic engine class for a single zone
-        """
-    def evaluate(self, netIn: gridfire._gridfire.type.NetIn) -> gridfire._gridfire.type.NetOut:
-        """
-        evaluate the dynamic engine using the dynamic engine class
         """
 class SolverContextBase:
     pass

stubs/gridfire/_gridfire/type.pyi

@@ -59,3 +59,9 @@ class NetOut:
     @property
     def num_steps(self) -> int:
         ...
+    @property
+    def specific_neutrino_energy_loss(self) -> float:
+        ...
+    @property
+    def specific_neutrino_flux(self) -> float:
+        ...

stubs/gridfire/_gridfire/utils/__init__.pyi

@@ -4,10 +4,11 @@ GridFire utility method bindings
 from __future__ import annotations
 import fourdst._phys.composition
 import gridfire._gridfire.engine
+import gridfire._gridfire.engine.scratchpads
 import typing
 from . import hashing
 __all__: list[str] = ['formatNuclearTimescaleLogString', 'hash_atomic', 'hash_reaction', 'hashing']
-def formatNuclearTimescaleLogString(engine: gridfire._gridfire.engine.DynamicEngine, Y: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> str:
+def formatNuclearTimescaleLogString(ctx: gridfire._gridfire.engine.scratchpads.StateBlob, engine: gridfire._gridfire.engine.DynamicEngine, Y: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> str:
     """
     Format a string for logging nuclear timescales based on temperature, density, and energy generation rate.
     """

stubs/gridfiregridfire/_gridfire/__init__.pyi

@@ -0,0 +1,16 @@
+"""
+Python bindings for the fourdst utility modules which are a part of the 4D-STAR project.
+"""
+from __future__ import annotations
+from . import config
+from . import engine
+from . import exceptions
+from . import io
+from . import partition
+from . import policy
+from . import reaction
+from . import screening
+from . import solver
+from . import type
+from . import utils
+__all__: list[str] = ['config', 'engine', 'exceptions', 'io', 'partition', 'policy', 'reaction', 'screening', 'solver', 'type', 'utils']

stubs/gridfiregridfire/_gridfire/config.pyi

@@ -0,0 +1,47 @@
+"""
+GridFire configuration bindings
+"""
+from __future__ import annotations
+import typing
+__all__: list[str] = ['AdaptiveEngineViewConfig', 'CVODESolverConfig', 'EngineConfig', 'EngineViewConfig', 'GridFireConfig', 'SolverConfig']
+class AdaptiveEngineViewConfig:
+    def __init__(self) -> None:
+        ...
+    @property
+    def relativeCullingThreshold(self) -> float:
+        ...
+    @relativeCullingThreshold.setter
+    def relativeCullingThreshold(self, arg0: typing.SupportsFloat) -> None:
+        ...
+class CVODESolverConfig:
+    def __init__(self) -> None:
+        ...
+    @property
+    def absTol(self) -> float:
+        ...
+    @absTol.setter
+    def absTol(self, arg0: typing.SupportsFloat) -> None:
+        ...
+    @property
+    def relTol(self) -> float:
+        ...
+    @relTol.setter
+    def relTol(self, arg0: typing.SupportsFloat) -> None:
+        ...
+class EngineConfig:
+    views: EngineViewConfig
+    def __init__(self) -> None:
+        ...
+class EngineViewConfig:
+    adaptiveEngineView: AdaptiveEngineViewConfig
+    def __init__(self) -> None:
+        ...
+class GridFireConfig:
+    engine: EngineConfig
+    solver: SolverConfig
+    def __init__(self) -> None:
+        ...
+class SolverConfig:
+    cvode: CVODESolverConfig
+    def __init__(self) -> None:
+        ...

stubs/gridfiregridfire/_gridfire/engine/__init__.pyi

@@ -0,0 +1,972 @@
+"""
+Engine and Engine View bindings
+"""
+from __future__ import annotations
+import collections.abc
+import fourdst._phys.atomic
+import fourdst._phys.composition
+import gridfire._gridfire.io
+import gridfire._gridfire.partition
+import gridfire._gridfire.reaction
+import gridfire._gridfire.screening
+import gridfire._gridfire.type
+import numpy
+import numpy.typing
+import typing
+from . import diagnostics
+from . import scratchpads
+__all__: list[str] = ['ACTIVE', 'ADAPTIVE_ENGINE_VIEW', 'AdaptiveEngineView', 'BuildDepthType', 'DEFAULT', 'DEFINED_ENGINE_VIEW', 'DefinedEngineView', 'DynamicEngine', 'EQUILIBRIUM', 'Engine', 'EngineTypes', 'FILE_DEFINED_ENGINE_VIEW', 'FULL_SUCCESS', 'FifthOrder', 'FileDefinedEngineView', 'FourthOrder', 'Full', 'GRAPH_ENGINE', 'GraphEngine', 'INACTIVE_FLOW', 'MAX_ITERATIONS_REACHED', 'MULTISCALE_PARTITIONING_ENGINE_VIEW', 'MultiscalePartitioningEngineView', 'NONE', 'NOT_PRESENT', 'NO_SPECIES_TO_PRIME', 'NetworkBuildDepth', 'NetworkConstructionFlags', 'NetworkJacobian', 'NetworkPrimingEngineView', 'PRIMING_ENGINE_VIEW', 'PrimingReport', 'PrimingReportStatus', 'REACLIB', 'REACLIB_STRONG', 'REACLIB_WEAK', 'SecondOrder', 'Shallow', 'SparsityPattern', 'SpeciesStatus', 'StepDerivatives', 'ThirdOrder', 'WRL_BETA_MINUS', 'WRL_BETA_PLUS', 'WRL_ELECTRON_CAPTURE', 'WRL_POSITRON_CAPTURE', 'WRL_WEAK', 'build_nuclear_network', 'diagnostics', 'primeNetwork', 'regularize_jacobian', 'scratchpads']
+class AdaptiveEngineView(DynamicEngine):
+    def __init__(self, baseEngine: DynamicEngine) -> None:
+        """
+        Construct an adaptive engine view with a base engine.
+        """
+    def calculateEpsDerivatives(self, ctx: scratchpads.StateBlob, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
+        """
+        Calculate deps/dT and deps/drho
+        """
+    def calculateMolarReactionFlow(self: DynamicEngine, ctx: scratchpads.StateBlob, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
+        """
+        Calculate the molar reaction flow for a given reaction.
+        """
+    def calculateRHSAndEnergy(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
+        """
+        Calculate the right-hand side (dY/dt) and energy generation rate.
+        """
+    def collectComposition(self, ctx: scratchpads.StateBlob, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
+        """
+        Recursively collect composition from current engine and any sub engines if they exist.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
+        """
+        Generate the Jacobian matrix for the current state.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
+        """
+        Generate the jacobian matrix only for the subset of the matrix representing the active species.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
+        """
+        Generate the jacobian matrix for the given sparsity pattern
+        """
+    def getBaseEngine(self) -> DynamicEngine:
+        """
+        Get the base engine associated with this adaptive engine view.
+        """
+    def getNetworkReactions(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the set of logical reactions in the network.
+        """
+    def getNetworkSpecies(self, arg0: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
+        """
+        Get the list of species in the network.
+        """
+    def getScreeningModel(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.screening.ScreeningType:
+        """
+        Get the current screening model of the engine.
+        """
+    def getSpeciesDestructionTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+        """
+        Get the destruction timescales for each species in the network.
+        """
+    def getSpeciesIndex(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> int:
+        """
+        Get the index of a species in the network.
+        """
+    def getSpeciesStatus(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
+        """
+        Get the status of a species in the network.
+        """
+    def getSpeciesTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+        """
+        Get the timescales for each species in the network.
+        """
+    def primeEngine(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
+        """
+        Prime the engine with a NetIn object to prepare for calculations.
+        """
+    def project(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
+        """
+        Update the engine state based on the provided NetIn object.
+        """
+class BuildDepthType:
+    pass
+class DefinedEngineView(DynamicEngine):
+    def __init__(self, peNames: collections.abc.Sequence[str], baseEngine: GraphEngine) -> None:
+        """
+        Construct a defined engine view with a list of tracked reactions and a base engine.
+        """
+    def calculateEpsDerivatives(self, ctx: scratchpads.StateBlob, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
+        """
+        Calculate deps/dT and deps/drho
+        """
+    def calculateMolarReactionFlow(self: DynamicEngine, ctx: scratchpads.StateBlob, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
+        """
+        Calculate the molar reaction flow for a given reaction.
+        """
+    def calculateRHSAndEnergy(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
+        """
+        Calculate the right-hand side (dY/dt) and energy generation rate.
+        """
+    def collectComposition(self, ctx: scratchpads.StateBlob, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
+        """
+        Recursively collect composition from current engine and any sub engines if they exist.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
+        """
+        Generate the Jacobian matrix for the current state.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
+        """
+        Generate the jacobian matrix only for the subset of the matrix representing the active species.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
+        """
+        Generate the jacobian matrix for the given sparsity pattern
+        """
+    def getBaseEngine(self) -> DynamicEngine:
+        """
+        Get the base engine associated with this defined engine view.
+        """
+    def getNetworkReactions(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the set of logical reactions in the network.
+        """
+    def getNetworkSpecies(self, arg0: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
+        """
+        Get the list of species in the network.
+        """
+    def getScreeningModel(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.screening.ScreeningType:
+        """
+        Get the current screening model of the engine.
+        """
+    def getSpeciesDestructionTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+        """
+        Get the destruction timescales for each species in the network.
+        """
+    def getSpeciesIndex(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> int:
+        """
+        Get the index of a species in the network.
+        """
+    def getSpeciesStatus(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
+        """
+        Get the status of a species in the network.
+        """
+    def getSpeciesTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+        """
+        Get the timescales for each species in the network.
+        """
+    def primeEngine(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
+        """
+        Prime the engine with a NetIn object to prepare for calculations.
+        """
+    def project(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
+        """
+        Update the engine state based on the provided NetIn object.
+        """
+class DynamicEngine:
+    pass
+class Engine:
+    pass
+class EngineTypes:
+    """
+    Members:
+    
+      GRAPH_ENGINE : The standard graph-based engine.
+    
+      ADAPTIVE_ENGINE_VIEW : An engine that adapts based on certain criteria.
+    
+      MULTISCALE_PARTITIONING_ENGINE_VIEW : An engine that partitions the system at multiple scales.
+    
+      PRIMING_ENGINE_VIEW : An engine that uses a priming strategy for simulations.
+    
+      DEFINED_ENGINE_VIEW : An engine defined by user specifications.
+    
+      FILE_DEFINED_ENGINE_VIEW : An engine defined through external files.
+    """
+    ADAPTIVE_ENGINE_VIEW: typing.ClassVar[EngineTypes]  # value = <EngineTypes.ADAPTIVE_ENGINE_VIEW: 1>
+    DEFINED_ENGINE_VIEW: typing.ClassVar[EngineTypes]  # value = <EngineTypes.DEFINED_ENGINE_VIEW: 4>
+    FILE_DEFINED_ENGINE_VIEW: typing.ClassVar[EngineTypes]  # value = <EngineTypes.FILE_DEFINED_ENGINE_VIEW: 5>
+    GRAPH_ENGINE: typing.ClassVar[EngineTypes]  # value = <EngineTypes.GRAPH_ENGINE: 0>
+    MULTISCALE_PARTITIONING_ENGINE_VIEW: typing.ClassVar[EngineTypes]  # value = <EngineTypes.MULTISCALE_PARTITIONING_ENGINE_VIEW: 2>
+    PRIMING_ENGINE_VIEW: typing.ClassVar[EngineTypes]  # value = <EngineTypes.PRIMING_ENGINE_VIEW: 3>
+    __members__: typing.ClassVar[dict[str, EngineTypes]]  # value = {'GRAPH_ENGINE': <EngineTypes.GRAPH_ENGINE: 0>, 'ADAPTIVE_ENGINE_VIEW': <EngineTypes.ADAPTIVE_ENGINE_VIEW: 1>, 'MULTISCALE_PARTITIONING_ENGINE_VIEW': <EngineTypes.MULTISCALE_PARTITIONING_ENGINE_VIEW: 2>, 'PRIMING_ENGINE_VIEW': <EngineTypes.PRIMING_ENGINE_VIEW: 3>, 'DEFINED_ENGINE_VIEW': <EngineTypes.DEFINED_ENGINE_VIEW: 4>, 'FILE_DEFINED_ENGINE_VIEW': <EngineTypes.FILE_DEFINED_ENGINE_VIEW: 5>}
+    def __eq__(self, other: typing.Any) -> bool:
+        ...
+    def __getstate__(self) -> int:
+        ...
+    def __hash__(self) -> int:
+        ...
+    def __index__(self) -> int:
+        ...
+    def __init__(self, value: typing.SupportsInt) -> None:
+        ...
+    def __int__(self) -> int:
+        ...
+    def __ne__(self, other: typing.Any) -> bool:
+        ...
+    @typing.overload
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def __repr__(self) -> str:
+        """
+        String representation of the EngineTypes.
+        """
+    def __setstate__(self, state: typing.SupportsInt) -> None:
+        ...
+    def __str__(self) -> str:
+        ...
+    @property
+    def name(self) -> str:
+        ...
+    @property
+    def value(self) -> int:
+        ...
+class FileDefinedEngineView(DefinedEngineView):
+    def __init__(self, baseEngine: GraphEngine, fileName: str, parser: gridfire._gridfire.io.NetworkFileParser) -> None:
+        """
+        Construct a defined engine view from a file and a base engine.
+        """
+    def calculateEpsDerivatives(self, ctx: scratchpads.StateBlob, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
+        """
+        Calculate deps/dT and deps/drho
+        """
+    def calculateMolarReactionFlow(self: DynamicEngine, ctx: scratchpads.StateBlob, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
+        """
+        Calculate the molar reaction flow for a given reaction.
+        """
+    def calculateRHSAndEnergy(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
+        """
+        Calculate the right-hand side (dY/dt) and energy generation rate.
+        """
+    def collectComposition(self, ctx: scratchpads.StateBlob, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
+        """
+        Recursively collect composition from current engine and any sub engines if they exist.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
+        """
+        Generate the Jacobian matrix for the current state.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
+        """
+        Generate the jacobian matrix only for the subset of the matrix representing the active species.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
+        """
+        Generate the jacobian matrix for the given sparsity pattern
+        """
+    def getBaseEngine(self) -> DynamicEngine:
+        """
+        Get the base engine associated with this file defined engine view.
+        """
+    def getNetworkFile(self) -> str:
+        """
+        Get the network file associated with this defined engine view.
+        """
+    def getNetworkReactions(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the set of logical reactions in the network.
+        """
+    def getNetworkSpecies(self, arg0: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
+        """
+        Get the list of species in the network.
+        """
+    def getParser(self) -> gridfire._gridfire.io.NetworkFileParser:
+        """
+        Get the parser used for this defined engine view.
+        """
+    def getScreeningModel(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.screening.ScreeningType:
+        """
+        Get the current screening model of the engine.
+        """
+    def getSpeciesDestructionTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+        """
+        Get the destruction timescales for each species in the network.
+        """
+    def getSpeciesIndex(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> int:
+        """
+        Get the index of a species in the network.
+        """
+    def getSpeciesStatus(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
+        """
+        Get the status of a species in the network.
+        """
+    def getSpeciesTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+        """
+        Get the timescales for each species in the network.
+        """
+    def primeEngine(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
+        """
+        Prime the engine with a NetIn object to prepare for calculations.
+        """
+    def project(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
+        """
+        Update the engine state based on the provided NetIn object.
+        """
+class GraphEngine(DynamicEngine):
+    @typing.overload
+    def __init__(self, composition: fourdst._phys.composition.Composition, depth: gridfire._gridfire.engine.NetworkBuildDepth | typing.SupportsInt = ...) -> None:
+        """
+        Initialize GraphEngine with a composition and build depth.
+        """
+    @typing.overload
+    def __init__(self, composition: fourdst._phys.composition.Composition, partitionFunction: gridfire._gridfire.partition.PartitionFunction, depth: gridfire._gridfire.engine.NetworkBuildDepth | typing.SupportsInt = ...) -> None:
+        """
+        Initialize GraphEngine with a composition, partition function and build depth.
+        """
+    @typing.overload
+    def __init__(self, reactions: gridfire._gridfire.reaction.ReactionSet) -> None:
+        """
+        Initialize GraphEngine with a set of reactions.
+        """
+    def calculateEpsDerivatives(self, ctx: scratchpads.StateBlob, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
+        """
+        Calculate deps/dT and deps/drho
+        """
+    def calculateMolarReactionFlow(self: DynamicEngine, ctx: scratchpads.StateBlob, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
+        """
+        Calculate the molar reaction flow for a given reaction.
+        """
+    def calculateRHSAndEnergy(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
+        """
+        Calculate the right-hand side (dY/dt) and energy generation rate.
+        """
+    def calculateReverseRate(self, reaction: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat, composition: ...) -> float:
+        """
+        Calculate the reverse rate for a given reaction at a specific temperature, density, and composition.
+        """
+    def calculateReverseRateTwoBody(self, reaction: ..., T9: typing.SupportsFloat, forwardRate: typing.SupportsFloat, expFactor: typing.SupportsFloat) -> float:
+        """
+        Calculate the reverse rate for a two-body reaction at a specific temperature.
+        """
+    def calculateReverseRateTwoBodyDerivative(self, reaction: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat, composition: fourdst._phys.composition.Composition, reverseRate: typing.SupportsFloat) -> float:
+        """
+        Calculate the derivative of the reverse rate for a two-body reaction at a specific temperature.
+        """
+    def collectComposition(self, ctx: scratchpads.StateBlob, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
+        """
+        Recursively collect composition from current engine and any sub engines if they exist.
+        """
+    def exportToCSV(self, ctx: scratchpads.StateBlob, filename: str) -> None:
+        """
+        Export the network to a CSV file for analysis.
+        """
+    def exportToDot(self, ctx: scratchpads.StateBlob, filename: str) -> None:
+        """
+        Export the network to a DOT file for visualization.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
+        """
+        Generate the Jacobian matrix for the current state.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
+        """
+        Generate the jacobian matrix only for the subset of the matrix representing the active species.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
+        """
+        Generate the jacobian matrix for the given sparsity pattern
+        """
+    def getNetworkReactions(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the set of logical reactions in the network.
+        """
+    def getNetworkSpecies(self, arg0: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
+        """
+        Get the list of species in the network.
+        """
+    def getPartitionFunction(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.partition.PartitionFunction:
+        """
+        Get the partition function used by the engine.
+        """
+    def getScreeningModel(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.screening.ScreeningType:
+        """
+        Get the current screening model of the engine.
+        """
+    @typing.overload
+    def getSpeciesDestructionTimescales(self, ctx: scratchpads.StateBlob, composition: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeReactions: gridfire._gridfire.reaction.ReactionSet) -> ...:
+        ...
+    @typing.overload
+    def getSpeciesDestructionTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+        """
+        Get the destruction timescales for each species in the network.
+        """
+    def getSpeciesIndex(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> int:
+        """
+        Get the index of a species in the network.
+        """
+    def getSpeciesStatus(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
+        """
+        Get the status of a species in the network.
+        """
+    @typing.overload
+    def getSpeciesTimescales(self, ctx: scratchpads.StateBlob, composition: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeReactions: gridfire._gridfire.reaction.ReactionSet) -> ...:
+        ...
+    @typing.overload
+    def getSpeciesTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+        """
+        Get the timescales for each species in the network.
+        """
+    def involvesSpecies(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> bool:
+        """
+        Check if a given species is involved in the network.
+        """
+    def isPrecomputationEnabled(self, arg0: scratchpads.StateBlob) -> bool:
+        """
+        Check if precomputation is enabled for the engine.
+        """
+    def isUsingReverseReactions(self, arg0: scratchpads.StateBlob) -> bool:
+        """
+        Check if the engine is using reverse reactions.
+        """
+    def primeEngine(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
+        """
+        Prime the engine with a NetIn object to prepare for calculations.
+        """
+    def project(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
+        """
+        Update the engine state based on the provided NetIn object.
+        """
+class MultiscalePartitioningEngineView(DynamicEngine):
+    def __init__(self, baseEngine: GraphEngine) -> None:
+        """
+        Construct a multiscale partitioning engine view with a base engine.
+        """
+    def calculateEpsDerivatives(self, ctx: scratchpads.StateBlob, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
+        """
+        Calculate deps/dT and deps/drho
+        """
+    def calculateMolarReactionFlow(self: DynamicEngine, ctx: scratchpads.StateBlob, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
+        """
+        Calculate the molar reaction flow for a given reaction.
+        """
+    def calculateRHSAndEnergy(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
+        """
+        Calculate the right-hand side (dY/dt) and energy generation rate.
+        """
+    def collectComposition(self, ctx: scratchpads.StateBlob, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
+        """
+        Recursively collect composition from current engine and any sub engines if they exist.
+        """
+    def exportToDot(self, ctx: scratchpads.StateBlob, filename: str, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> None:
+        """
+        Export the network to a DOT file for visualization.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
+        """
+        Generate the Jacobian matrix for the current state.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
+        """
+        Generate the jacobian matrix only for the subset of the matrix representing the active species.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
+        """
+        Generate the jacobian matrix for the given sparsity pattern
+        """
+    def getBaseEngine(self) -> DynamicEngine:
+        """
+        Get the base engine associated with this multiscale partitioning engine view.
+        """
+    def getDynamicSpecies(self: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
+        """
+        Get the list of dynamic species in the network.
+        """
+    def getFastSpecies(self, arg0: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
+        """
+        Get the list of fast species in the network.
+        """
+    def getNetworkReactions(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the set of logical reactions in the network.
+        """
+    def getNetworkSpecies(self, arg0: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
+        """
+        Get the list of species in the network.
+        """
+    def getNormalizedEquilibratedComposition(self, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
+        """
+        Get the normalized equilibrated composition for the algebraic species.
+        """
+    def getScreeningModel(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.screening.ScreeningType:
+        """
+        Get the current screening model of the engine.
+        """
+    def getSpeciesDestructionTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+        """
+        Get the destruction timescales for each species in the network.
+        """
+    def getSpeciesIndex(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> int:
+        """
+        Get the index of a species in the network.
+        """
+    def getSpeciesStatus(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
+        """
+        Get the status of a species in the network.
+        """
+    def getSpeciesTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+        """
+        Get the timescales for each species in the network.
+        """
+    def involvesSpecies(self: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> bool:
+        """
+        Check if a given species is involved in the network (in either the algebraic or dynamic set).
+        """
+    def involvesSpeciesInDynamic(self: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> bool:
+        """
+        Check if a given species is involved in the network's dynamic set.
+        """
+    def involvesSpeciesInQSE(self: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> bool:
+        """
+        Check if a given species is involved in the network's algebraic set.
+        """
+    def partitionNetwork(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
+        """
+        Partition the network based on species timescales and connectivity.
+        """
+    def primeEngine(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
+        """
+        Prime the engine with a NetIn object to prepare for calculations.
+        """
+    def project(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
+        """
+        Update the engine state based on the provided NetIn object.
+        """
+class NetworkBuildDepth:
+    """
+    Members:
+    
+      Full : Full network build depth
+    
+      Shallow : Shallow network build depth
+    
+      SecondOrder : Second order network build depth
+    
+      ThirdOrder : Third order network build depth
+    
+      FourthOrder : Fourth order network build depth
+    
+      FifthOrder : Fifth order network build depth
+    """
+    FifthOrder: typing.ClassVar[NetworkBuildDepth]  # value = <NetworkBuildDepth.FifthOrder: 5>
+    FourthOrder: typing.ClassVar[NetworkBuildDepth]  # value = <NetworkBuildDepth.FourthOrder: 4>
+    Full: typing.ClassVar[NetworkBuildDepth]  # value = <NetworkBuildDepth.Full: -1>
+    SecondOrder: typing.ClassVar[NetworkBuildDepth]  # value = <NetworkBuildDepth.SecondOrder: 2>
+    Shallow: typing.ClassVar[NetworkBuildDepth]  # value = <NetworkBuildDepth.Shallow: 1>
+    ThirdOrder: typing.ClassVar[NetworkBuildDepth]  # value = <NetworkBuildDepth.ThirdOrder: 3>
+    __members__: typing.ClassVar[dict[str, NetworkBuildDepth]]  # value = {'Full': <NetworkBuildDepth.Full: -1>, 'Shallow': <NetworkBuildDepth.Shallow: 1>, 'SecondOrder': <NetworkBuildDepth.SecondOrder: 2>, 'ThirdOrder': <NetworkBuildDepth.ThirdOrder: 3>, 'FourthOrder': <NetworkBuildDepth.FourthOrder: 4>, 'FifthOrder': <NetworkBuildDepth.FifthOrder: 5>}
+    def __eq__(self, other: typing.Any) -> bool:
+        ...
+    def __getstate__(self) -> int:
+        ...
+    def __hash__(self) -> int:
+        ...
+    def __index__(self) -> int:
+        ...
+    def __init__(self, value: typing.SupportsInt) -> None:
+        ...
+    def __int__(self) -> int:
+        ...
+    def __ne__(self, other: typing.Any) -> bool:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __setstate__(self, state: typing.SupportsInt) -> None:
+        ...
+    def __str__(self) -> str:
+        ...
+    @property
+    def name(self) -> str:
+        ...
+    @property
+    def value(self) -> int:
+        ...
+class NetworkConstructionFlags:
+    """
+    Members:
+    
+      NONE : No special construction flags.
+    
+      REACLIB_STRONG : Include strong reactions from reaclib.
+    
+      WRL_BETA_MINUS : Include beta-minus decay reactions from weak rate library.
+    
+      WRL_BETA_PLUS : Include beta-plus decay reactions from weak rate library.
+    
+      WRL_ELECTRON_CAPTURE : Include electron capture reactions from weak rate library.
+    
+      WRL_POSITRON_CAPTURE : Include positron capture reactions from weak rate library.
+    
+      REACLIB_WEAK : Include weak reactions from reaclib.
+    
+      WRL_WEAK : Include all weak reactions from weak rate library.
+    
+      REACLIB : Include all reactions from reaclib.
+    
+      DEFAULT : Default construction flags (Reaclib strong and weak).
+    """
+    DEFAULT: typing.ClassVar[NetworkConstructionFlags]  # value = <NetworkConstructionFlags.REACLIB: 33>
+    NONE: typing.ClassVar[NetworkConstructionFlags]  # value = <NetworkConstructionFlags.NONE: 0>
+    REACLIB: typing.ClassVar[NetworkConstructionFlags]  # value = <NetworkConstructionFlags.REACLIB: 33>
+    REACLIB_STRONG: typing.ClassVar[NetworkConstructionFlags]  # value = <NetworkConstructionFlags.REACLIB_STRONG: 1>
+    REACLIB_WEAK: typing.ClassVar[NetworkConstructionFlags]  # value = <NetworkConstructionFlags.REACLIB_WEAK: 32>
+    WRL_BETA_MINUS: typing.ClassVar[NetworkConstructionFlags]  # value = <NetworkConstructionFlags.WRL_BETA_MINUS: 2>
+    WRL_BETA_PLUS: typing.ClassVar[NetworkConstructionFlags]  # value = <NetworkConstructionFlags.WRL_BETA_PLUS: 4>
+    WRL_ELECTRON_CAPTURE: typing.ClassVar[NetworkConstructionFlags]  # value = <NetworkConstructionFlags.WRL_ELECTRON_CAPTURE: 8>
+    WRL_POSITRON_CAPTURE: typing.ClassVar[NetworkConstructionFlags]  # value = <NetworkConstructionFlags.WRL_POSITRON_CAPTURE: 16>
+    WRL_WEAK: typing.ClassVar[NetworkConstructionFlags]  # value = <NetworkConstructionFlags.WRL_WEAK: 30>
+    __members__: typing.ClassVar[dict[str, NetworkConstructionFlags]]  # value = {'NONE': <NetworkConstructionFlags.NONE: 0>, 'REACLIB_STRONG': <NetworkConstructionFlags.REACLIB_STRONG: 1>, 'WRL_BETA_MINUS': <NetworkConstructionFlags.WRL_BETA_MINUS: 2>, 'WRL_BETA_PLUS': <NetworkConstructionFlags.WRL_BETA_PLUS: 4>, 'WRL_ELECTRON_CAPTURE': <NetworkConstructionFlags.WRL_ELECTRON_CAPTURE: 8>, 'WRL_POSITRON_CAPTURE': <NetworkConstructionFlags.WRL_POSITRON_CAPTURE: 16>, 'REACLIB_WEAK': <NetworkConstructionFlags.REACLIB_WEAK: 32>, 'WRL_WEAK': <NetworkConstructionFlags.WRL_WEAK: 30>, 'REACLIB': <NetworkConstructionFlags.REACLIB: 33>, 'DEFAULT': <NetworkConstructionFlags.REACLIB: 33>}
+    def __eq__(self, other: typing.Any) -> bool:
+        ...
+    def __getstate__(self) -> int:
+        ...
+    def __hash__(self) -> int:
+        ...
+    def __index__(self) -> int:
+        ...
+    def __init__(self, value: typing.SupportsInt) -> None:
+        ...
+    def __int__(self) -> int:
+        ...
+    def __ne__(self, other: typing.Any) -> bool:
+        ...
+    @typing.overload
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def __repr__(self) -> str:
+        ...
+    def __setstate__(self, state: typing.SupportsInt) -> None:
+        ...
+    def __str__(self) -> str:
+        ...
+    @property
+    def name(self) -> str:
+        ...
+    @property
+    def value(self) -> int:
+        ...
+class NetworkJacobian:
+    @typing.overload
+    def __getitem__(self, key: tuple[fourdst._phys.atomic.Species, fourdst._phys.atomic.Species]) -> float:
+        """
+        Get an entry from the Jacobian matrix using species identifiers.
+        """
+    @typing.overload
+    def __getitem__(self, key: tuple[typing.SupportsInt, typing.SupportsInt]) -> float:
+        """
+        Get an entry from the Jacobian matrix using indices.
+        """
+    @typing.overload
+    def __setitem__(self, key: tuple[fourdst._phys.atomic.Species, fourdst._phys.atomic.Species], value: typing.SupportsFloat) -> None:
+        """
+        Set an entry in the Jacobian matrix using species identifiers.
+        """
+    @typing.overload
+    def __setitem__(self, key: tuple[typing.SupportsInt, typing.SupportsInt], value: typing.SupportsFloat) -> None:
+        """
+        Set an entry in the Jacobian matrix using indices.
+        """
+    def data(self) -> ...:
+        """
+        Get the underlying sparse matrix data.
+        """
+    def infs(self) -> list[tuple[tuple[fourdst._phys.atomic.Species, fourdst._phys.atomic.Species], float]]:
+        """
+        Get all infinite entries in the Jacobian matrix.
+        """
+    def mapping(self) -> dict[fourdst._phys.atomic.Species, int]:
+        """
+        Get the species-to-index mapping.
+        """
+    def nans(self) -> list[tuple[tuple[fourdst._phys.atomic.Species, fourdst._phys.atomic.Species], float]]:
+        """
+        Get all NaN entries in the Jacobian matrix.
+        """
+    def nnz(self) -> int:
+        """
+        Get the number of non-zero entries in the Jacobian matrix.
+        """
+    def rank(self) -> int:
+        """
+        Get the rank of the Jacobian matrix.
+        """
+    def shape(self) -> tuple[int, int]:
+        """
+        Get the shape of the Jacobian matrix as (rows, columns).
+        """
+    def singular(self) -> bool:
+        """
+        Check if the Jacobian matrix is singular.
+        """
+    def to_csv(self, filename: str) -> None:
+        """
+        Export the Jacobian matrix to a CSV file.
+        """
+    def to_numpy(self) -> numpy.typing.NDArray[numpy.float64]:
+        """
+        Convert the Jacobian matrix to a NumPy array.
+        """
+class NetworkPrimingEngineView(DefinedEngineView):
+    @typing.overload
+    def __init__(self, ctx: scratchpads.StateBlob, primingSymbol: str, baseEngine: GraphEngine) -> None:
+        """
+        Construct a priming engine view with a priming symbol and a base engine.
+        """
+    @typing.overload
+    def __init__(self, ctx: scratchpads.StateBlob, primingSpecies: fourdst._phys.atomic.Species, baseEngine: GraphEngine) -> None:
+        """
+        Construct a priming engine view with a priming species and a base engine.
+        """
+    def calculateEpsDerivatives(self, ctx: scratchpads.StateBlob, comp: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> ...:
+        """
+        Calculate deps/dT and deps/drho
+        """
+    def calculateMolarReactionFlow(self: DynamicEngine, ctx: scratchpads.StateBlob, reaction: ..., comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> float:
+        """
+        Calculate the molar reaction flow for a given reaction.
+        """
+    def calculateRHSAndEnergy(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> StepDerivatives:
+        """
+        Calculate the right-hand side (dY/dt) and energy generation rate.
+        """
+    def collectComposition(self, ctx: scratchpads.StateBlob, composition: ..., T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> fourdst._phys.composition.Composition:
+        """
+        Recursively collect composition from current engine and any sub engines if they exist.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> NetworkJacobian:
+        """
+        Generate the Jacobian matrix for the current state.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, activeSpecies: collections.abc.Sequence[fourdst._phys.atomic.Species]) -> NetworkJacobian:
+        """
+        Generate the jacobian matrix only for the subset of the matrix representing the active species.
+        """
+    @typing.overload
+    def generateJacobianMatrix(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, sparsityPattern: collections.abc.Sequence[tuple[typing.SupportsInt, typing.SupportsInt]]) -> NetworkJacobian:
+        """
+        Generate the jacobian matrix for the given sparsity pattern
+        """
+    def getBaseEngine(self) -> DynamicEngine:
+        """
+        Get the base engine associated with this priming engine view.
+        """
+    def getNetworkReactions(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the set of logical reactions in the network.
+        """
+    def getNetworkSpecies(self, arg0: scratchpads.StateBlob) -> list[fourdst._phys.atomic.Species]:
+        """
+        Get the list of species in the network.
+        """
+    def getScreeningModel(self, arg0: scratchpads.StateBlob) -> gridfire._gridfire.screening.ScreeningType:
+        """
+        Get the current screening model of the engine.
+        """
+    def getSpeciesDestructionTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+        """
+        Get the destruction timescales for each species in the network.
+        """
+    def getSpeciesIndex(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> int:
+        """
+        Get the index of a species in the network.
+        """
+    def getSpeciesStatus(self, ctx: scratchpads.StateBlob, species: fourdst._phys.atomic.Species) -> SpeciesStatus:
+        """
+        Get the status of a species in the network.
+        """
+    def getSpeciesTimescales(self: DynamicEngine, ctx: scratchpads.StateBlob, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> dict[fourdst._phys.atomic.Species, float]:
+        """
+        Get the timescales for each species in the network.
+        """
+    def primeEngine(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> PrimingReport:
+        """
+        Prime the engine with a NetIn object to prepare for calculations.
+        """
+    def project(self, ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn) -> fourdst._phys.composition.Composition:
+        """
+        Update the engine state based on the provided NetIn object.
+        """
+class PrimingReport:
+    def __repr__(self) -> str:
+        ...
+    @property
+    def primedComposition(self) -> fourdst._phys.composition.Composition:
+        """
+        The composition after priming.
+        """
+    @property
+    def status(self) -> PrimingReportStatus:
+        """
+        Status message from the priming process.
+        """
+    @property
+    def success(self) -> bool:
+        """
+        Indicates if the priming was successful.
+        """
+class PrimingReportStatus:
+    """
+    Members:
+    
+      FULL_SUCCESS : Priming was full successful.
+    
+      NO_SPECIES_TO_PRIME : Solver Failed to converge during priming.
+    
+      MAX_ITERATIONS_REACHED : Engine has already been primed.
+    """
+    FULL_SUCCESS: typing.ClassVar[PrimingReportStatus]  # value = <PrimingReportStatus.FULL_SUCCESS: 0>
+    MAX_ITERATIONS_REACHED: typing.ClassVar[PrimingReportStatus]  # value = <PrimingReportStatus.MAX_ITERATIONS_REACHED: 1>
+    NO_SPECIES_TO_PRIME: typing.ClassVar[PrimingReportStatus]  # value = <PrimingReportStatus.NO_SPECIES_TO_PRIME: 2>
+    __members__: typing.ClassVar[dict[str, PrimingReportStatus]]  # value = {'FULL_SUCCESS': <PrimingReportStatus.FULL_SUCCESS: 0>, 'NO_SPECIES_TO_PRIME': <PrimingReportStatus.NO_SPECIES_TO_PRIME: 2>, 'MAX_ITERATIONS_REACHED': <PrimingReportStatus.MAX_ITERATIONS_REACHED: 1>}
+    def __eq__(self, other: typing.Any) -> bool:
+        ...
+    def __getstate__(self) -> int:
+        ...
+    def __hash__(self) -> int:
+        ...
+    def __index__(self) -> int:
+        ...
+    def __init__(self, value: typing.SupportsInt) -> None:
+        ...
+    def __int__(self) -> int:
+        ...
+    def __ne__(self, other: typing.Any) -> bool:
+        ...
+    @typing.overload
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def __repr__(self) -> str:
+        """
+        String representation of the PrimingReport.
+        """
+    def __setstate__(self, state: typing.SupportsInt) -> None:
+        ...
+    def __str__(self) -> str:
+        ...
+    @property
+    def name(self) -> str:
+        ...
+    @property
+    def value(self) -> int:
+        ...
+class SparsityPattern:
+    pass
+class SpeciesStatus:
+    """
+    Members:
+    
+      ACTIVE : Species is active in the network.
+    
+      EQUILIBRIUM : Species is in equilibrium.
+    
+      INACTIVE_FLOW : Species is inactive due to flow.
+    
+      NOT_PRESENT : Species is not present in the network.
+    """
+    ACTIVE: typing.ClassVar[SpeciesStatus]  # value = <SpeciesStatus.ACTIVE: 0>
+    EQUILIBRIUM: typing.ClassVar[SpeciesStatus]  # value = <SpeciesStatus.EQUILIBRIUM: 1>
+    INACTIVE_FLOW: typing.ClassVar[SpeciesStatus]  # value = <SpeciesStatus.INACTIVE_FLOW: 2>
+    NOT_PRESENT: typing.ClassVar[SpeciesStatus]  # value = <SpeciesStatus.NOT_PRESENT: 3>
+    __members__: typing.ClassVar[dict[str, SpeciesStatus]]  # value = {'ACTIVE': <SpeciesStatus.ACTIVE: 0>, 'EQUILIBRIUM': <SpeciesStatus.EQUILIBRIUM: 1>, 'INACTIVE_FLOW': <SpeciesStatus.INACTIVE_FLOW: 2>, 'NOT_PRESENT': <SpeciesStatus.NOT_PRESENT: 3>}
+    def __eq__(self, other: typing.Any) -> bool:
+        ...
+    def __getstate__(self) -> int:
+        ...
+    def __hash__(self) -> int:
+        ...
+    def __index__(self) -> int:
+        ...
+    def __init__(self, value: typing.SupportsInt) -> None:
+        ...
+    def __int__(self) -> int:
+        ...
+    def __ne__(self, other: typing.Any) -> bool:
+        ...
+    @typing.overload
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def __repr__(self) -> str:
+        ...
+    def __setstate__(self, state: typing.SupportsInt) -> None:
+        ...
+    def __str__(self) -> str:
+        ...
+    @property
+    def name(self) -> str:
+        ...
+    @property
+    def value(self) -> int:
+        ...
+class StepDerivatives:
+    @property
+    def dYdt(self) -> dict[fourdst._phys.atomic.Species, float]:
+        """
+        The right-hand side (dY/dt) of the ODE system.
+        """
+    @property
+    def energy(self) -> float:
+        """
+        The energy generation rate.
+        """
+def build_nuclear_network(composition: ..., weakInterpolator: ..., maxLayers: gridfire._gridfire.engine.NetworkBuildDepth | typing.SupportsInt = ..., ReactionTypes: NetworkConstructionFlags = ...) -> gridfire._gridfire.reaction.ReactionSet:
+    """
+    Build a nuclear network from a composition using all archived reaction data.
+    """
+def primeNetwork(ctx: scratchpads.StateBlob, netIn: gridfire._gridfire.type.NetIn, engine: ..., ignoredReactionTypes: collections.abc.Sequence[...] | None = None) -> PrimingReport:
+    """
+    Prime a network with a short timescale ignition
+    """
+def regularize_jacobian(jacobian: NetworkJacobian, composition: fourdst._phys.composition.Composition) -> NetworkJacobian:
+    """
+    regularize_jacobian
+    """
+ACTIVE: SpeciesStatus  # value = <SpeciesStatus.ACTIVE: 0>
+ADAPTIVE_ENGINE_VIEW: EngineTypes  # value = <EngineTypes.ADAPTIVE_ENGINE_VIEW: 1>
+DEFAULT: NetworkConstructionFlags  # value = <NetworkConstructionFlags.REACLIB: 33>
+DEFINED_ENGINE_VIEW: EngineTypes  # value = <EngineTypes.DEFINED_ENGINE_VIEW: 4>
+EQUILIBRIUM: SpeciesStatus  # value = <SpeciesStatus.EQUILIBRIUM: 1>
+FILE_DEFINED_ENGINE_VIEW: EngineTypes  # value = <EngineTypes.FILE_DEFINED_ENGINE_VIEW: 5>
+FULL_SUCCESS: PrimingReportStatus  # value = <PrimingReportStatus.FULL_SUCCESS: 0>
+FifthOrder: NetworkBuildDepth  # value = <NetworkBuildDepth.FifthOrder: 5>
+FourthOrder: NetworkBuildDepth  # value = <NetworkBuildDepth.FourthOrder: 4>
+Full: NetworkBuildDepth  # value = <NetworkBuildDepth.Full: -1>
+GRAPH_ENGINE: EngineTypes  # value = <EngineTypes.GRAPH_ENGINE: 0>
+INACTIVE_FLOW: SpeciesStatus  # value = <SpeciesStatus.INACTIVE_FLOW: 2>
+MAX_ITERATIONS_REACHED: PrimingReportStatus  # value = <PrimingReportStatus.MAX_ITERATIONS_REACHED: 1>
+MULTISCALE_PARTITIONING_ENGINE_VIEW: EngineTypes  # value = <EngineTypes.MULTISCALE_PARTITIONING_ENGINE_VIEW: 2>
+NONE: NetworkConstructionFlags  # value = <NetworkConstructionFlags.NONE: 0>
+NOT_PRESENT: SpeciesStatus  # value = <SpeciesStatus.NOT_PRESENT: 3>
+NO_SPECIES_TO_PRIME: PrimingReportStatus  # value = <PrimingReportStatus.NO_SPECIES_TO_PRIME: 2>
+PRIMING_ENGINE_VIEW: EngineTypes  # value = <EngineTypes.PRIMING_ENGINE_VIEW: 3>
+REACLIB: NetworkConstructionFlags  # value = <NetworkConstructionFlags.REACLIB: 33>
+REACLIB_STRONG: NetworkConstructionFlags  # value = <NetworkConstructionFlags.REACLIB_STRONG: 1>
+REACLIB_WEAK: NetworkConstructionFlags  # value = <NetworkConstructionFlags.REACLIB_WEAK: 32>
+SecondOrder: NetworkBuildDepth  # value = <NetworkBuildDepth.SecondOrder: 2>
+Shallow: NetworkBuildDepth  # value = <NetworkBuildDepth.Shallow: 1>
+ThirdOrder: NetworkBuildDepth  # value = <NetworkBuildDepth.ThirdOrder: 3>
+WRL_BETA_MINUS: NetworkConstructionFlags  # value = <NetworkConstructionFlags.WRL_BETA_MINUS: 2>
+WRL_BETA_PLUS: NetworkConstructionFlags  # value = <NetworkConstructionFlags.WRL_BETA_PLUS: 4>
+WRL_ELECTRON_CAPTURE: NetworkConstructionFlags  # value = <NetworkConstructionFlags.WRL_ELECTRON_CAPTURE: 8>
+WRL_POSITRON_CAPTURE: NetworkConstructionFlags  # value = <NetworkConstructionFlags.WRL_POSITRON_CAPTURE: 16>
+WRL_WEAK: NetworkConstructionFlags  # value = <NetworkConstructionFlags.WRL_WEAK: 30>

stubs/gridfiregridfire/_gridfire/engine/diagnostics.pyi

@@ -0,0 +1,16 @@
+"""
+A submodule for engine diagnostics
+"""
+from __future__ import annotations
+import collections.abc
+import fourdst._phys.composition
+import gridfire._gridfire.engine
+import gridfire._gridfire.engine.scratchpads
+import typing
+__all__: list[str] = ['inspect_jacobian_stiffness', 'inspect_species_balance', 'report_limiting_species']
+def inspect_jacobian_stiffness(ctx: gridfire._gridfire.engine.scratchpads.StateBlob, engine: gridfire._gridfire.engine.DynamicEngine, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, json: bool) -> ... | None:
+    ...
+def inspect_species_balance(ctx: gridfire._gridfire.engine.scratchpads.StateBlob, engine: gridfire._gridfire.engine.DynamicEngine, species_name: str, comp: fourdst._phys.composition.Composition, T9: typing.SupportsFloat, rho: typing.SupportsFloat, json: bool) -> ... | None:
+    ...
+def report_limiting_species(ctx: gridfire._gridfire.engine.scratchpads.StateBlob, engine: gridfire._gridfire.engine.DynamicEngine, Y_full: collections.abc.Sequence[typing.SupportsFloat], E_full: collections.abc.Sequence[typing.SupportsFloat], relTol: typing.SupportsFloat, absTol: typing.SupportsFloat, top_n: typing.SupportsInt, json: bool) -> ... | None:
+    ...

stubs/gridfiregridfire/_gridfire/engine/scratchpads.pyi

@@ -0,0 +1,267 @@
+"""
+Engine ScratchPad bindings
+"""
+from __future__ import annotations
+import fourdst._phys.atomic
+import fourdst._phys.composition
+import gridfire._gridfire.reaction
+import typing
+__all__: list[str] = ['ADAPTIVE_ENGINE_VIEW_SCRATCHPAD', 'ADFunRegistrationResult', 'ALREADY_REGISTERED', 'AdaptiveEngineViewScratchPad', 'DEFINED_ENGINE_VIEW_SCRATCHPAD', 'DefinedEngineViewScratchPad', 'GRAPH_ENGINE_SCRATCHPAD', 'GraphEngineScratchPad', 'MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD', 'MultiscalePartitioningEngineViewScratchPad', 'SCRATCHPAD_BAD_CAST', 'SCRATCHPAD_NOT_FOUND', 'SCRATCHPAD_NOT_INITIALIZED', 'SCRATCHPAD_OUT_OF_BOUNDS', 'SCRATCHPAD_TYPE_COLLISION', 'SCRATCHPAD_UNKNOWN_ERROR', 'SUCCESS', 'ScratchPadType', 'StateBlob', 'StateBlobError']
+class ADFunRegistrationResult:
+    """
+    Members:
+    
+      SUCCESS
+    
+      ALREADY_REGISTERED
+    """
+    ALREADY_REGISTERED: typing.ClassVar[ADFunRegistrationResult]  # value = <ADFunRegistrationResult.ALREADY_REGISTERED: 1>
+    SUCCESS: typing.ClassVar[ADFunRegistrationResult]  # value = <ADFunRegistrationResult.SUCCESS: 0>
+    __members__: typing.ClassVar[dict[str, ADFunRegistrationResult]]  # value = {'SUCCESS': <ADFunRegistrationResult.SUCCESS: 0>, 'ALREADY_REGISTERED': <ADFunRegistrationResult.ALREADY_REGISTERED: 1>}
+    def __eq__(self, other: typing.Any) -> bool:
+        ...
+    def __getstate__(self) -> int:
+        ...
+    def __hash__(self) -> int:
+        ...
+    def __index__(self) -> int:
+        ...
+    def __init__(self, value: typing.SupportsInt) -> None:
+        ...
+    def __int__(self) -> int:
+        ...
+    def __ne__(self, other: typing.Any) -> bool:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __setstate__(self, state: typing.SupportsInt) -> None:
+        ...
+    def __str__(self) -> str:
+        ...
+    @property
+    def name(self) -> str:
+        ...
+    @property
+    def value(self) -> int:
+        ...
+class AdaptiveEngineViewScratchPad:
+    ID: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.ADAPTIVE_ENGINE_VIEW_SCRATCHPAD: 2>
+    def __init__(self) -> None:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def clone(self) -> ...:
+        ...
+    def initialize(self, arg0: ...) -> None:
+        ...
+    def is_initialized(self) -> bool:
+        ...
+    @property
+    def active_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        ...
+    @property
+    def active_species(self) -> list[fourdst._phys.atomic.Species]:
+        ...
+    @property
+    def has_initialized(self) -> bool:
+        ...
+class DefinedEngineViewScratchPad:
+    ID: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.DEFINED_ENGINE_VIEW_SCRATCHPAD: 3>
+    def __init__(self) -> None:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def clone(self) -> ...:
+        ...
+    def is_initialized(self) -> bool:
+        ...
+    @property
+    def active_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        ...
+    @property
+    def active_species(self) -> set[fourdst._phys.atomic.Species]:
+        ...
+    @property
+    def has_initialized(self) -> bool:
+        ...
+    @property
+    def reaction_index_map(self) -> list[int]:
+        ...
+    @property
+    def species_index_map(self) -> list[int]:
+        ...
+class GraphEngineScratchPad:
+    ID: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.GRAPH_ENGINE_SCRATCHPAD: 0>
+    def __init__(self) -> None:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def clone(self) -> ...:
+        ...
+    def initialize(self, engine: ...) -> None:
+        ...
+    def is_initialized(self) -> bool:
+        ...
+    @property
+    def has_initialized(self) -> bool:
+        ...
+    @property
+    def local_abundance_cache(self) -> list[float]:
+        ...
+    @property
+    def most_recent_rhs_calculation(self) -> ... | None:
+        ...
+    @property
+    def stepDerivativesCache(self) -> dict[int, ...]:
+        ...
+class MultiscalePartitioningEngineViewScratchPad:
+    ID: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD: 1>
+    def __init__(self) -> None:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def clone(self) -> ...:
+        ...
+    def initialize(self) -> None:
+        ...
+    def is_initialized(self) -> bool:
+        ...
+    @property
+    def algebraic_species(self) -> list[fourdst._phys.atomic.Species]:
+        ...
+    @property
+    def composition_cache(self) -> dict[int, fourdst._phys.composition.Composition]:
+        ...
+    @property
+    def dynamic_species(self) -> list[fourdst._phys.atomic.Species]:
+        ...
+    @property
+    def has_initialized(self) -> bool:
+        ...
+    @property
+    def qse_groups(self) -> list[...]:
+        ...
+class ScratchPadType:
+    """
+    Members:
+    
+      GRAPH_ENGINE_SCRATCHPAD
+    
+      MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD
+    
+      ADAPTIVE_ENGINE_VIEW_SCRATCHPAD
+    
+      DEFINED_ENGINE_VIEW_SCRATCHPAD
+    """
+    ADAPTIVE_ENGINE_VIEW_SCRATCHPAD: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.ADAPTIVE_ENGINE_VIEW_SCRATCHPAD: 2>
+    DEFINED_ENGINE_VIEW_SCRATCHPAD: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.DEFINED_ENGINE_VIEW_SCRATCHPAD: 3>
+    GRAPH_ENGINE_SCRATCHPAD: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.GRAPH_ENGINE_SCRATCHPAD: 0>
+    MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD: typing.ClassVar[ScratchPadType]  # value = <ScratchPadType.MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD: 1>
+    __members__: typing.ClassVar[dict[str, ScratchPadType]]  # value = {'GRAPH_ENGINE_SCRATCHPAD': <ScratchPadType.GRAPH_ENGINE_SCRATCHPAD: 0>, 'MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD': <ScratchPadType.MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD: 1>, 'ADAPTIVE_ENGINE_VIEW_SCRATCHPAD': <ScratchPadType.ADAPTIVE_ENGINE_VIEW_SCRATCHPAD: 2>, 'DEFINED_ENGINE_VIEW_SCRATCHPAD': <ScratchPadType.DEFINED_ENGINE_VIEW_SCRATCHPAD: 3>}
+    def __eq__(self, other: typing.Any) -> bool:
+        ...
+    def __getstate__(self) -> int:
+        ...
+    def __hash__(self) -> int:
+        ...
+    def __index__(self) -> int:
+        ...
+    def __init__(self, value: typing.SupportsInt) -> None:
+        ...
+    def __int__(self) -> int:
+        ...
+    def __ne__(self, other: typing.Any) -> bool:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __setstate__(self, state: typing.SupportsInt) -> None:
+        ...
+    def __str__(self) -> str:
+        ...
+    @property
+    def name(self) -> str:
+        ...
+    @property
+    def value(self) -> int:
+        ...
+class StateBlob:
+    @staticmethod
+    def error_to_string(arg0: StateBlobError) -> str:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def clone_structure(self) -> StateBlob:
+        ...
+    def enroll(self, arg0: ScratchPadType) -> None:
+        ...
+    def get(self, arg0: ScratchPadType) -> ...:
+        ...
+    def get_registered_scratchpads(self) -> set[ScratchPadType]:
+        ...
+    def get_status(self, arg0: ScratchPadType) -> ...:
+        ...
+    def get_status_map(self) -> dict[ScratchPadType, ...]:
+        ...
+class StateBlobError:
+    """
+    Members:
+    
+      SCRATCHPAD_OUT_OF_BOUNDS
+    
+      SCRATCHPAD_NOT_FOUND
+    
+      SCRATCHPAD_BAD_CAST
+    
+      SCRATCHPAD_NOT_INITIALIZED
+    
+      SCRATCHPAD_TYPE_COLLISION
+    
+      SCRATCHPAD_UNKNOWN_ERROR
+    """
+    SCRATCHPAD_BAD_CAST: typing.ClassVar[StateBlobError]  # value = <StateBlobError.SCRATCHPAD_BAD_CAST: 1>
+    SCRATCHPAD_NOT_FOUND: typing.ClassVar[StateBlobError]  # value = <StateBlobError.SCRATCHPAD_NOT_FOUND: 0>
+    SCRATCHPAD_NOT_INITIALIZED: typing.ClassVar[StateBlobError]  # value = <StateBlobError.SCRATCHPAD_NOT_INITIALIZED: 2>
+    SCRATCHPAD_OUT_OF_BOUNDS: typing.ClassVar[StateBlobError]  # value = <StateBlobError.SCRATCHPAD_OUT_OF_BOUNDS: 4>
+    SCRATCHPAD_TYPE_COLLISION: typing.ClassVar[StateBlobError]  # value = <StateBlobError.SCRATCHPAD_TYPE_COLLISION: 3>
+    SCRATCHPAD_UNKNOWN_ERROR: typing.ClassVar[StateBlobError]  # value = <StateBlobError.SCRATCHPAD_UNKNOWN_ERROR: 5>
+    __members__: typing.ClassVar[dict[str, StateBlobError]]  # value = {'SCRATCHPAD_OUT_OF_BOUNDS': <StateBlobError.SCRATCHPAD_OUT_OF_BOUNDS: 4>, 'SCRATCHPAD_NOT_FOUND': <StateBlobError.SCRATCHPAD_NOT_FOUND: 0>, 'SCRATCHPAD_BAD_CAST': <StateBlobError.SCRATCHPAD_BAD_CAST: 1>, 'SCRATCHPAD_NOT_INITIALIZED': <StateBlobError.SCRATCHPAD_NOT_INITIALIZED: 2>, 'SCRATCHPAD_TYPE_COLLISION': <StateBlobError.SCRATCHPAD_TYPE_COLLISION: 3>, 'SCRATCHPAD_UNKNOWN_ERROR': <StateBlobError.SCRATCHPAD_UNKNOWN_ERROR: 5>}
+    def __eq__(self, other: typing.Any) -> bool:
+        ...
+    def __getstate__(self) -> int:
+        ...
+    def __hash__(self) -> int:
+        ...
+    def __index__(self) -> int:
+        ...
+    def __init__(self, value: typing.SupportsInt) -> None:
+        ...
+    def __int__(self) -> int:
+        ...
+    def __ne__(self, other: typing.Any) -> bool:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __setstate__(self, state: typing.SupportsInt) -> None:
+        ...
+    def __str__(self) -> str:
+        ...
+    @property
+    def name(self) -> str:
+        ...
+    @property
+    def value(self) -> int:
+        ...
+ADAPTIVE_ENGINE_VIEW_SCRATCHPAD: ScratchPadType  # value = <ScratchPadType.ADAPTIVE_ENGINE_VIEW_SCRATCHPAD: 2>
+ALREADY_REGISTERED: ADFunRegistrationResult  # value = <ADFunRegistrationResult.ALREADY_REGISTERED: 1>
+DEFINED_ENGINE_VIEW_SCRATCHPAD: ScratchPadType  # value = <ScratchPadType.DEFINED_ENGINE_VIEW_SCRATCHPAD: 3>
+GRAPH_ENGINE_SCRATCHPAD: ScratchPadType  # value = <ScratchPadType.GRAPH_ENGINE_SCRATCHPAD: 0>
+MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD: ScratchPadType  # value = <ScratchPadType.MULTISCALE_PARTITIONING_ENGINE_VIEW_SCRATCHPAD: 1>
+SCRATCHPAD_BAD_CAST: StateBlobError  # value = <StateBlobError.SCRATCHPAD_BAD_CAST: 1>
+SCRATCHPAD_NOT_FOUND: StateBlobError  # value = <StateBlobError.SCRATCHPAD_NOT_FOUND: 0>
+SCRATCHPAD_NOT_INITIALIZED: StateBlobError  # value = <StateBlobError.SCRATCHPAD_NOT_INITIALIZED: 2>
+SCRATCHPAD_OUT_OF_BOUNDS: StateBlobError  # value = <StateBlobError.SCRATCHPAD_OUT_OF_BOUNDS: 4>
+SCRATCHPAD_TYPE_COLLISION: StateBlobError  # value = <StateBlobError.SCRATCHPAD_TYPE_COLLISION: 3>
+SCRATCHPAD_UNKNOWN_ERROR: StateBlobError  # value = <StateBlobError.SCRATCHPAD_UNKNOWN_ERROR: 5>
+SUCCESS: ADFunRegistrationResult  # value = <ADFunRegistrationResult.SUCCESS: 0>

stubs/gridfiregridfire/_gridfire/exceptions.pyi

@@ -0,0 +1,61 @@
+"""
+GridFire exceptions bindings
+"""
+from __future__ import annotations
+__all__: list[str] = ['BadCollectionError', 'BadRHSEngineError', 'CVODESolverFailureError', 'DebugException', 'EngineError', 'FailedToPartitionEngineError', 'GridFireError', 'HashingError', 'IllConditionedJacobianError', 'InvalidQSESolutionError', 'JacobianError', 'KINSolSolverFailureError', 'MissingBaseReactionError', 'MissingKeyReactionError', 'MissingSeedSpeciesError', 'NetworkResizedError', 'PolicyError', 'ReactionError', 'ReactionParsingError', 'SUNDIALSError', 'ScratchPadError', 'SingularJacobianError', 'SolverError', 'StaleJacobianError', 'UnableToSetNetworkReactionsError', 'UninitializedJacobianError', 'UnknownJacobianError', 'UtilityError']
+class BadCollectionError(EngineError):
+    pass
+class BadRHSEngineError(EngineError):
+    pass
+class CVODESolverFailureError(SUNDIALSError):
+    pass
+class DebugException(GridFireError):
+    pass
+class EngineError(GridFireError):
+    pass
+class FailedToPartitionEngineError(EngineError):
+    pass
+class GridFireError(Exception):
+    pass
+class HashingError(UtilityError):
+    pass
+class IllConditionedJacobianError(SolverError):
+    pass
+class InvalidQSESolutionError(EngineError):
+    pass
+class JacobianError(EngineError):
+    pass
+class KINSolSolverFailureError(SUNDIALSError):
+    pass
+class MissingBaseReactionError(PolicyError):
+    pass
+class MissingKeyReactionError(PolicyError):
+    pass
+class MissingSeedSpeciesError(PolicyError):
+    pass
+class NetworkResizedError(EngineError):
+    pass
+class PolicyError(GridFireError):
+    pass
+class ReactionError(GridFireError):
+    pass
+class ReactionParsingError(ReactionError):
+    pass
+class SUNDIALSError(SolverError):
+    pass
+class ScratchPadError(GridFireError):
+    pass
+class SingularJacobianError(SolverError):
+    pass
+class SolverError(GridFireError):
+    pass
+class StaleJacobianError(JacobianError):
+    pass
+class UnableToSetNetworkReactionsError(EngineError):
+    pass
+class UninitializedJacobianError(JacobianError):
+    pass
+class UnknownJacobianError(JacobianError):
+    pass
+class UtilityError(GridFireError):
+    pass

stubs/gridfiregridfire/_gridfire/io.pyi

@@ -0,0 +1,14 @@
+"""
+GridFire io bindings
+"""
+from __future__ import annotations
+__all__: list[str] = ['NetworkFileParser', 'ParsedNetworkData', 'SimpleReactionListFileParser']
+class NetworkFileParser:
+    pass
+class ParsedNetworkData:
+    pass
+class SimpleReactionListFileParser(NetworkFileParser):
+    def parse(self, filename: str) -> ParsedNetworkData:
+        """
+        Parse a simple reaction list file and return a ParsedNetworkData object.
+        """

stubs/gridfiregridfire/_gridfire/partition.pyi

@@ -0,0 +1,142 @@
+"""
+GridFire partition function bindings
+"""
+from __future__ import annotations
+import collections.abc
+import typing
+__all__: list[str] = ['BasePartitionType', 'CompositePartitionFunction', 'GroundState', 'GroundStatePartitionFunction', 'PartitionFunction', 'RauscherThielemann', 'RauscherThielemannPartitionDataRecord', 'RauscherThielemannPartitionFunction', 'basePartitionTypeToString', 'stringToBasePartitionType']
+class BasePartitionType:
+    """
+    Members:
+    
+      RauscherThielemann
+    
+      GroundState
+    """
+    GroundState: typing.ClassVar[BasePartitionType]  # value = <BasePartitionType.GroundState: 1>
+    RauscherThielemann: typing.ClassVar[BasePartitionType]  # value = <BasePartitionType.RauscherThielemann: 0>
+    __members__: typing.ClassVar[dict[str, BasePartitionType]]  # value = {'RauscherThielemann': <BasePartitionType.RauscherThielemann: 0>, 'GroundState': <BasePartitionType.GroundState: 1>}
+    def __eq__(self, other: typing.Any) -> bool:
+        ...
+    def __getstate__(self) -> int:
+        ...
+    def __hash__(self) -> int:
+        ...
+    def __index__(self) -> int:
+        ...
+    def __init__(self, value: typing.SupportsInt) -> None:
+        ...
+    def __int__(self) -> int:
+        ...
+    def __ne__(self, other: typing.Any) -> bool:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __setstate__(self, state: typing.SupportsInt) -> None:
+        ...
+    def __str__(self) -> str:
+        ...
+    @property
+    def name(self) -> str:
+        ...
+    @property
+    def value(self) -> int:
+        ...
+class CompositePartitionFunction:
+    @typing.overload
+    def __init__(self, partitionFunctions: collections.abc.Sequence[BasePartitionType]) -> None:
+        """
+        Create a composite partition function from a list of base partition types.
+        """
+    @typing.overload
+    def __init__(self, arg0: CompositePartitionFunction) -> None:
+        """
+        Copy constructor for CompositePartitionFunction.
+        """
+    def evaluate(self, z: typing.SupportsInt, a: typing.SupportsInt, T9: typing.SupportsFloat) -> float:
+        """
+        Evaluate the composite partition function for given Z, A, and T9.
+        """
+    def evaluateDerivative(self, z: typing.SupportsInt, a: typing.SupportsInt, T9: typing.SupportsFloat) -> float:
+        """
+        Evaluate the derivative of the composite partition function for given Z, A, and T9.
+        """
+    def get_type(self) -> str:
+        """
+        Get the type of the partition function (should return 'Composite').
+        """
+    def supports(self, z: typing.SupportsInt, a: typing.SupportsInt) -> bool:
+        """
+        Check if the composite partition function supports given Z and A.
+        """
+class GroundStatePartitionFunction(PartitionFunction):
+    def __init__(self) -> None:
+        ...
+    def evaluate(self, z: typing.SupportsInt, a: typing.SupportsInt, T9: typing.SupportsFloat) -> float:
+        """
+        Evaluate the ground state partition function for given Z, A, and T9.
+        """
+    def evaluateDerivative(self, z: typing.SupportsInt, a: typing.SupportsInt, T9: typing.SupportsFloat) -> float:
+        """
+        Evaluate the derivative of the ground state partition function for given Z, A, and T9.
+        """
+    def get_type(self) -> str:
+        """
+        Get the type of the partition function (should return 'GroundState').
+        """
+    def supports(self, z: typing.SupportsInt, a: typing.SupportsInt) -> bool:
+        """
+        Check if the ground state partition function supports given Z and A.
+        """
+class PartitionFunction:
+    pass
+class RauscherThielemannPartitionDataRecord:
+    @property
+    def a(self) -> int:
+        """
+        Mass number
+        """
+    @property
+    def ground_state_spin(self) -> float:
+        """
+        Ground state spin
+        """
+    @property
+    def normalized_g_values(self) -> float:
+        """
+        Normalized g-values for the first 24 energy levels
+        """
+    @property
+    def z(self) -> int:
+        """
+        Atomic number
+        """
+class RauscherThielemannPartitionFunction(PartitionFunction):
+    def __init__(self) -> None:
+        ...
+    def evaluate(self, z: typing.SupportsInt, a: typing.SupportsInt, T9: typing.SupportsFloat) -> float:
+        """
+        Evaluate the Rauscher-Thielemann partition function for given Z, A, and T9.
+        """
+    def evaluateDerivative(self, z: typing.SupportsInt, a: typing.SupportsInt, T9: typing.SupportsFloat) -> float:
+        """
+        Evaluate the derivative of the Rauscher-Thielemann partition function for given Z, A, and T9.
+        """
+    def get_type(self) -> str:
+        """
+        Get the type of the partition function (should return 'RauscherThielemann').
+        """
+    def supports(self, z: typing.SupportsInt, a: typing.SupportsInt) -> bool:
+        """
+        Check if the Rauscher-Thielemann partition function supports given Z and A.
+        """
+def basePartitionTypeToString(type: BasePartitionType) -> str:
+    """
+    Convert BasePartitionType to string.
+    """
+def stringToBasePartitionType(typeStr: str) -> BasePartitionType:
+    """
+    Convert string to BasePartitionType.
+    """
+GroundState: BasePartitionType  # value = <BasePartitionType.GroundState: 1>
+RauscherThielemann: BasePartitionType  # value = <BasePartitionType.RauscherThielemann: 0>

stubs/gridfiregridfire/_gridfire/policy.pyi

@@ -0,0 +1,769 @@
+"""
+GridFire network policy bindings
+"""
+from __future__ import annotations
+import collections.abc
+import fourdst._phys.atomic
+import fourdst._phys.composition
+import gridfire._gridfire.engine
+import gridfire._gridfire.engine.scratchpads
+import gridfire._gridfire.partition
+import gridfire._gridfire.reaction
+import typing
+__all__: list[str] = ['CNOChainPolicy', 'CNOIChainPolicy', 'CNOIIChainPolicy', 'CNOIIIChainPolicy', 'CNOIVChainPolicy', 'ConstructionResults', 'HotCNOChainPolicy', 'HotCNOIChainPolicy', 'HotCNOIIChainPolicy', 'HotCNOIIIChainPolicy', 'INITIALIZED_UNVERIFIED', 'INITIALIZED_VERIFIED', 'MISSING_KEY_REACTION', 'MISSING_KEY_SPECIES', 'MainSequencePolicy', 'MainSequenceReactionChainPolicy', 'MultiReactionChainPolicy', 'NetworkPolicy', 'NetworkPolicyStatus', 'ProtonProtonChainPolicy', 'ProtonProtonIChainPolicy', 'ProtonProtonIIChainPolicy', 'ProtonProtonIIIChainPolicy', 'ReactionChainPolicy', 'TemperatureDependentChainPolicy', 'TripleAlphaChainPolicy', 'UNINITIALIZED', 'network_policy_status_to_string']
+class CNOChainPolicy(MultiReactionChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+class CNOIChainPolicy(TemperatureDependentChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+class CNOIIChainPolicy(TemperatureDependentChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+class CNOIIIChainPolicy(TemperatureDependentChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+class CNOIVChainPolicy(TemperatureDependentChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+class ConstructionResults:
+    @property
+    def engine(self) -> gridfire._gridfire.engine.DynamicEngine:
+        ...
+    @property
+    def scratch_blob(self) -> gridfire._gridfire.engine.scratchpads.StateBlob:
+        ...
+class HotCNOChainPolicy(MultiReactionChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+class HotCNOIChainPolicy(TemperatureDependentChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+class HotCNOIIChainPolicy(TemperatureDependentChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+class HotCNOIIIChainPolicy(TemperatureDependentChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+class MainSequencePolicy(NetworkPolicy):
+    @typing.overload
+    def __init__(self, composition: fourdst._phys.composition.Composition) -> None:
+        """
+        Construct MainSequencePolicy from an existing composition.
+        """
+    @typing.overload
+    def __init__(self, seed_species: collections.abc.Sequence[fourdst._phys.atomic.Species], mass_fractions: collections.abc.Sequence[typing.SupportsFloat]) -> None:
+        """
+        Construct MainSequencePolicy from seed species and mass fractions.
+        """
+    def construct(self) -> ConstructionResults:
+        """
+        Construct the network according to the policy.
+        """
+    def get_engine_stack(self) -> list[gridfire._gridfire.engine.DynamicEngine]:
+        ...
+    def get_engine_types_stack(self) -> list[gridfire._gridfire.engine.EngineTypes]:
+        """
+        Get the types of engines in the stack constructed by the network policy.
+        """
+    def get_partition_function(self) -> gridfire._gridfire.partition.PartitionFunction:
+        ...
+    def get_seed_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the set of seed reactions required by the network policy.
+        """
+    def get_seed_species(self) -> set[fourdst._phys.atomic.Species]:
+        """
+        Get the set of seed species required by the network policy.
+        """
+    def get_stack_scratch_blob(self) -> gridfire._gridfire.engine.scratchpads.StateBlob:
+        ...
+    def get_status(self) -> NetworkPolicyStatus:
+        """
+        Get the current status of the network policy.
+        """
+    def name(self) -> str:
+        """
+        Get the name of the network policy.
+        """
+class MainSequenceReactionChainPolicy(MultiReactionChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+class MultiReactionChainPolicy(ReactionChainPolicy):
+    pass
+class NetworkPolicy:
+    pass
+class NetworkPolicyStatus:
+    """
+    Members:
+    
+      UNINITIALIZED
+    
+      INITIALIZED_UNVERIFIED
+    
+      MISSING_KEY_REACTION
+    
+      MISSING_KEY_SPECIES
+    
+      INITIALIZED_VERIFIED
+    """
+    INITIALIZED_UNVERIFIED: typing.ClassVar[NetworkPolicyStatus]  # value = <NetworkPolicyStatus.INITIALIZED_UNVERIFIED: 1>
+    INITIALIZED_VERIFIED: typing.ClassVar[NetworkPolicyStatus]  # value = <NetworkPolicyStatus.INITIALIZED_VERIFIED: 4>
+    MISSING_KEY_REACTION: typing.ClassVar[NetworkPolicyStatus]  # value = <NetworkPolicyStatus.MISSING_KEY_REACTION: 2>
+    MISSING_KEY_SPECIES: typing.ClassVar[NetworkPolicyStatus]  # value = <NetworkPolicyStatus.MISSING_KEY_SPECIES: 3>
+    UNINITIALIZED: typing.ClassVar[NetworkPolicyStatus]  # value = <NetworkPolicyStatus.UNINITIALIZED: 0>
+    __members__: typing.ClassVar[dict[str, NetworkPolicyStatus]]  # value = {'UNINITIALIZED': <NetworkPolicyStatus.UNINITIALIZED: 0>, 'INITIALIZED_UNVERIFIED': <NetworkPolicyStatus.INITIALIZED_UNVERIFIED: 1>, 'MISSING_KEY_REACTION': <NetworkPolicyStatus.MISSING_KEY_REACTION: 2>, 'MISSING_KEY_SPECIES': <NetworkPolicyStatus.MISSING_KEY_SPECIES: 3>, 'INITIALIZED_VERIFIED': <NetworkPolicyStatus.INITIALIZED_VERIFIED: 4>}
+    def __eq__(self, other: typing.Any) -> bool:
+        ...
+    def __getstate__(self) -> int:
+        ...
+    def __hash__(self) -> int:
+        ...
+    def __index__(self) -> int:
+        ...
+    def __init__(self, value: typing.SupportsInt) -> None:
+        ...
+    def __int__(self) -> int:
+        ...
+    def __ne__(self, other: typing.Any) -> bool:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __setstate__(self, state: typing.SupportsInt) -> None:
+        ...
+    def __str__(self) -> str:
+        ...
+    @property
+    def name(self) -> str:
+        ...
+    @property
+    def value(self) -> int:
+        ...
+class ProtonProtonChainPolicy(MultiReactionChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+class ProtonProtonIChainPolicy(TemperatureDependentChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+class ProtonProtonIIChainPolicy(TemperatureDependentChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+class ProtonProtonIIIChainPolicy(TemperatureDependentChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+class ReactionChainPolicy:
+    pass
+class TemperatureDependentChainPolicy(ReactionChainPolicy):
+    pass
+class TripleAlphaChainPolicy(TemperatureDependentChainPolicy):
+    def __eq__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check equality with another ReactionChainPolicy.
+        """
+    def __hash__(self) -> int:
+        ...
+    def __init__(self) -> None:
+        ...
+    def __ne__(self, other: ReactionChainPolicy) -> bool:
+        """
+        Check inequality with another ReactionChainPolicy.
+        """
+    def __repr__(self) -> str:
+        ...
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the reaction chain contains a reaction with the given ID.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the reaction chain contains the given reaction.
+        """
+    def get_reactions(self) -> gridfire._gridfire.reaction.ReactionSet:
+        """
+        Get the ReactionSet representing this reaction chain.
+        """
+    def hash(self, seed: typing.SupportsInt) -> int:
+        """
+        Compute a hash value for the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+    @typing.overload
+    def name(self) -> str:
+        """
+        Get the name of the reaction chain policy.
+        """
+def network_policy_status_to_string(status: NetworkPolicyStatus) -> str:
+    """
+    Convert a NetworkPolicyStatus enum value to its string representation.
+    """
+INITIALIZED_UNVERIFIED: NetworkPolicyStatus  # value = <NetworkPolicyStatus.INITIALIZED_UNVERIFIED: 1>
+INITIALIZED_VERIFIED: NetworkPolicyStatus  # value = <NetworkPolicyStatus.INITIALIZED_VERIFIED: 4>
+MISSING_KEY_REACTION: NetworkPolicyStatus  # value = <NetworkPolicyStatus.MISSING_KEY_REACTION: 2>
+MISSING_KEY_SPECIES: NetworkPolicyStatus  # value = <NetworkPolicyStatus.MISSING_KEY_SPECIES: 3>
+UNINITIALIZED: NetworkPolicyStatus  # value = <NetworkPolicyStatus.UNINITIALIZED: 0>

stubs/gridfiregridfire/_gridfire/reaction.pyi

@@ -0,0 +1,249 @@
+"""
+GridFire reaction bindings
+"""
+from __future__ import annotations
+import collections.abc
+import fourdst._phys.atomic
+import fourdst._phys.composition
+import typing
+__all__: list[str] = ['LogicalReaclibReaction', 'RateCoefficientSet', 'ReaclibReaction', 'ReactionSet', 'get_all_reactions', 'packReactionSet']
+class LogicalReaclibReaction(ReaclibReaction):
+    @typing.overload
+    def __init__(self, reactions: collections.abc.Sequence[ReaclibReaction]) -> None:
+        """
+        Construct a LogicalReaclibReaction from a vector of ReaclibReaction objects.
+        """
+    @typing.overload
+    def __init__(self, reactions: collections.abc.Sequence[ReaclibReaction], is_reverse: bool) -> None:
+        """
+        Construct a LogicalReaclibReaction from a vector of ReaclibReaction objects.
+        """
+    def __len__(self) -> int:
+        """
+        Overload len() to return the number of source rates.
+        """
+    def add_reaction(self, reaction: ReaclibReaction) -> None:
+        """
+        Add another Reaction source to this logical reaction.
+        """
+    def calculate_forward_rate_log_derivative(self, T9: typing.SupportsFloat, rho: typing.SupportsFloat, Ye: typing.SupportsFloat, mue: typing.SupportsFloat, Composition: fourdst._phys.composition.Composition) -> float:
+        """
+        Calculate the forward rate log derivative at a given temperature T9 (in units of 10^9 K).
+        """
+    def calculate_rate(self, T9: typing.SupportsFloat, rho: typing.SupportsFloat, Ye: typing.SupportsFloat, mue: typing.SupportsFloat, Y: collections.abc.Sequence[typing.SupportsFloat], index_to_species_map: collections.abc.Mapping[typing.SupportsInt, fourdst._phys.atomic.Species]) -> float:
+        """
+        Calculate the reaction rate at a given temperature T9 (in units of 10^9 K). Note that for a reaclib reaction only T9 is actually used, all other parameters are there for interface compatibility.
+        """
+    def size(self) -> int:
+        """
+        Get the number of source rates contributing to this logical reaction.
+        """
+    def sources(self) -> list[str]:
+        """
+        Get the list of source labels for the aggregated rates.
+        """
+class RateCoefficientSet:
+    def __init__(self, a0: typing.SupportsFloat, a1: typing.SupportsFloat, a2: typing.SupportsFloat, a3: typing.SupportsFloat, a4: typing.SupportsFloat, a5: typing.SupportsFloat, a6: typing.SupportsFloat) -> None:
+        """
+        Construct a RateCoefficientSet with the given parameters.
+        """
+class ReaclibReaction:
+    __hash__: typing.ClassVar[None] = None
+    def __eq__(self, arg0: ReaclibReaction) -> bool:
+        """
+        Equality operator for reactions based on their IDs.
+        """
+    def __init__(self, id: str, peName: str, chapter: typing.SupportsInt, reactants: collections.abc.Sequence[fourdst._phys.atomic.Species], products: collections.abc.Sequence[fourdst._phys.atomic.Species], qValue: typing.SupportsFloat, label: str, sets: RateCoefficientSet, reverse: bool = False) -> None:
+        """
+        Construct a Reaction with the given parameters.
+        """
+    def __neq__(self, arg0: ReaclibReaction) -> bool:
+        """
+        Inequality operator for reactions based on their IDs.
+        """
+    def __repr__(self) -> str:
+        ...
+    def all_species(self) -> set[fourdst._phys.atomic.Species]:
+        """
+        Get all species involved in the reaction (both reactants and products) as a set.
+        """
+    def calculate_rate(self, T9: typing.SupportsFloat, rho: typing.SupportsFloat, Y: collections.abc.Sequence[typing.SupportsFloat]) -> float:
+        """
+        Calculate the reaction rate at a given temperature T9 (in units of 10^9 K).
+        """
+    def chapter(self) -> int:
+        """
+        Get the REACLIB chapter number defining the reaction structure.
+        """
+    def contains(self, species: fourdst._phys.atomic.Species) -> bool:
+        """
+        Check if the reaction contains a specific species.
+        """
+    def contains_product(self, arg0: fourdst._phys.atomic.Species) -> bool:
+        """
+        Check if the reaction contains a specific product species.
+        """
+    def contains_reactant(self, arg0: fourdst._phys.atomic.Species) -> bool:
+        """
+        Check if the reaction contains a specific reactant species.
+        """
+    def excess_energy(self) -> float:
+        """
+        Calculate the excess energy from the mass difference of reactants and products.
+        """
+    def hash(self, seed: typing.SupportsInt = 0) -> int:
+        """
+        Compute a hash for the reaction based on its ID.
+        """
+    def id(self) -> str:
+        """
+        Get the unique identifier of the reaction.
+        """
+    def is_reverse(self) -> bool:
+        """
+        Check if this is a reverse reaction rate.
+        """
+    def num_species(self) -> int:
+        """
+        Count the number of species in the reaction.
+        """
+    def peName(self) -> str:
+        """
+        Get the reaction name in (projectile, ejectile) notation (e.g., 'p(p,g)d').
+        """
+    def product_species(self) -> set[fourdst._phys.atomic.Species]:
+        """
+        Get the product species of the reaction as a set.
+        """
+    def products(self) -> list[fourdst._phys.atomic.Species]:
+        """
+        Get a list of product species in the reaction.
+        """
+    def qValue(self) -> float:
+        """
+        Get the Q-value of the reaction in MeV.
+        """
+    def rateCoefficients(self) -> RateCoefficientSet:
+        """
+        get the set of rate coefficients.
+        """
+    def reactant_species(self) -> set[fourdst._phys.atomic.Species]:
+        """
+        Get the reactant species of the reaction as a set.
+        """
+    def reactants(self) -> list[fourdst._phys.atomic.Species]:
+        """
+        Get a list of reactant species in the reaction.
+        """
+    def sourceLabel(self) -> str:
+        """
+        Get the source label for the rate data (e.g., 'wc12w', 'st08').
+        """
+    @typing.overload
+    def stoichiometry(self, species: fourdst._phys.atomic.Species) -> int:
+        """
+        Get the stoichiometry of the reaction as a map from species to their coefficients.
+        """
+    @typing.overload
+    def stoichiometry(self) -> dict[fourdst._phys.atomic.Species, int]:
+        """
+        Get the stoichiometry of the reaction as a map from species to their coefficients.
+        """
+class ReactionSet:
+    __hash__: typing.ClassVar[None] = None
+    @staticmethod
+    def from_clones(reactions: collections.abc.Sequence[...]) -> ReactionSet:
+        """
+        Create a ReactionSet that takes ownership of the reactions by cloning the input reactions.
+        """
+    def __eq__(self, LogicalReactionSet: ReactionSet) -> bool:
+        """
+        Equality operator for LogicalReactionSets based on their contents.
+        """
+    def __getitem__(self, index: typing.SupportsInt) -> ...:
+        """
+        Get a LogicalReaclibReaction by index.
+        """
+    def __getitem___(self, id: str) -> ...:
+        """
+        Get a LogicalReaclibReaction by its ID.
+        """
+    @typing.overload
+    def __init__(self, reactions: collections.abc.Sequence[...]) -> None:
+        """
+        Construct a LogicalReactionSet from a vector of LogicalReaclibReaction objects.
+        """
+    @typing.overload
+    def __init__(self) -> None:
+        """
+        Default constructor for an empty LogicalReactionSet.
+        """
+    @typing.overload
+    def __init__(self, other: ReactionSet) -> None:
+        """
+        Copy constructor for LogicalReactionSet.
+        """
+    def __len__(self) -> int:
+        """
+        Overload len() to return the number of LogicalReactions.
+        """
+    def __ne__(self, LogicalReactionSet: ReactionSet) -> bool:
+        """
+        Inequality operator for LogicalReactionSets based on their contents.
+        """
+    def __repr__(self) -> str:
+        ...
+    def add_reaction(self, reaction: ...) -> None:
+        """
+        Add a LogicalReaclibReaction to the set.
+        """
+    def clear(self) -> None:
+        """
+        Remove all LogicalReactions from the set.
+        """
+    @typing.overload
+    def contains(self, id: str) -> bool:
+        """
+        Check if the set contains a specific LogicalReaclibReaction.
+        """
+    @typing.overload
+    def contains(self, reaction: ...) -> bool:
+        """
+        Check if the set contains a specific Reaction.
+        """
+    def contains_product(self, species: fourdst._phys.atomic.Species) -> bool:
+        """
+        Check if any reaction in the set has the species as a product.
+        """
+    def contains_reactant(self, species: fourdst._phys.atomic.Species) -> bool:
+        """
+        Check if any reaction in the set has the species as a reactant.
+        """
+    def contains_species(self, species: fourdst._phys.atomic.Species) -> bool:
+        """
+        Check if any reaction in the set involves the given species.
+        """
+    def getReactionSetSpecies(self) -> set[fourdst._phys.atomic.Species]:
+        """
+        Get all species involved in the reactions of the set as a set of Species objects.
+        """
+    def hash(self, seed: typing.SupportsInt = 0) -> int:
+        """
+        Compute a hash for the LogicalReactionSet based on its contents.
+        """
+    def remove_reaction(self, reaction: ...) -> None:
+        """
+        Remove a LogicalReaclibReaction from the set.
+        """
+    def size(self) -> int:
+        """
+        Get the number of LogicalReactions in the set.
+        """
+def get_all_reactions() -> ReactionSet:
+    """
+    Get all reactions from the REACLIB database.
+    """
+def packReactionSet(reactionSet: ReactionSet) -> ReactionSet:
+    """
+    Convert a ReactionSet to a LogicalReactionSet by aggregating reactions with the same peName.
+    """

stubs/gridfiregridfire/_gridfire/screening.pyi

@@ -0,0 +1,68 @@
+"""
+GridFire plasma screening bindings
+"""
+from __future__ import annotations
+import collections.abc
+import fourdst._phys.atomic
+import gridfire._gridfire.reaction
+import typing
+__all__: list[str] = ['BARE', 'BareScreeningModel', 'ScreeningModel', 'ScreeningType', 'WEAK', 'WeakScreeningModel', 'selectScreeningModel']
+class BareScreeningModel:
+    def __init__(self) -> None:
+        ...
+    def calculateScreeningFactors(self, reactions: gridfire._gridfire.reaction.ReactionSet, species: collections.abc.Sequence[fourdst._phys.atomic.Species], Y: collections.abc.Sequence[typing.SupportsFloat], T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> list[float]:
+        """
+        Calculate the bare plasma screening factors. This always returns 1.0 (bare)
+        """
+class ScreeningModel:
+    pass
+class ScreeningType:
+    """
+    Members:
+    
+      BARE
+    
+      WEAK
+    """
+    BARE: typing.ClassVar[ScreeningType]  # value = <ScreeningType.BARE: 0>
+    WEAK: typing.ClassVar[ScreeningType]  # value = <ScreeningType.WEAK: 1>
+    __members__: typing.ClassVar[dict[str, ScreeningType]]  # value = {'BARE': <ScreeningType.BARE: 0>, 'WEAK': <ScreeningType.WEAK: 1>}
+    def __eq__(self, other: typing.Any) -> bool:
+        ...
+    def __getstate__(self) -> int:
+        ...
+    def __hash__(self) -> int:
+        ...
+    def __index__(self) -> int:
+        ...
+    def __init__(self, value: typing.SupportsInt) -> None:
+        ...
+    def __int__(self) -> int:
+        ...
+    def __ne__(self, other: typing.Any) -> bool:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __setstate__(self, state: typing.SupportsInt) -> None:
+        ...
+    def __str__(self) -> str:
+        ...
+    @property
+    def name(self) -> str:
+        ...
+    @property
+    def value(self) -> int:
+        ...
+class WeakScreeningModel:
+    def __init__(self) -> None:
+        ...
+    def calculateScreeningFactors(self, reactions: gridfire._gridfire.reaction.ReactionSet, species: collections.abc.Sequence[fourdst._phys.atomic.Species], Y: collections.abc.Sequence[typing.SupportsFloat], T9: typing.SupportsFloat, rho: typing.SupportsFloat) -> list[float]:
+        """
+        Calculate the weak plasma screening factors using the Salpeter (1954) model.
+        """
+def selectScreeningModel(type: ScreeningType) -> ScreeningModel:
+    """
+    Select a screening model based on the specified type. Returns a pointer to the selected model.
+    """
+BARE: ScreeningType  # value = <ScreeningType.BARE: 0>
+WEAK: ScreeningType  # value = <ScreeningType.WEAK: 1>