diff --git a/.github/workflows/build-test-python-package-pull.yml b/.github/workflows/build-test-python-package-pull.yml
new file mode 100644
index 0000000..801a2f5
--- /dev/null
+++ b/.github/workflows/build-test-python-package-pull.yml
@@ -0,0 +1,23 @@
+# This workflow will use Nox to run tests and lint for the supported Python versions, and upload the test coverage data.
+
+name: Build & Test
+
+on:
+ pull_request:
+ branches:
+ - main
+
+jobs:
+ build:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+ - uses: fjwillemsen/setup-nox2@v3.0.0
+ - run: |
+ nox -- ${{ runner.os }}
+ - name: Report to Coveralls
+ uses: coverallsapp/github-action@v2
+ with:
+ file: coverage.xml
+ format: cobertura
+ fail-on-error: false
diff --git a/.github/workflows/build-test-python-package.yml b/.github/workflows/build-test-python-package.yml
index 62da4f6..a2951ed 100644
--- a/.github/workflows/build-test-python-package.yml
+++ b/.github/workflows/build-test-python-package.yml
@@ -2,6 +2,7 @@
name: Build & Test
+# Do not run this workflow on pull request since this workflow has permission to modify contents.
on:
push:
branches:
@@ -14,20 +15,43 @@ on:
- "noxfile.py"
- "pyproject.toml"
- ".github/workflows/build-test-python-package.yml"
- pull_request:
- branches:
- - main
+
+permissions:
+ # deployments permission to deploy GitHub pages website
+ deployments: write
+ # contents permission to update benchmark contents in gh-pages branch
+ contents: write
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
+ with:
+ fetch-depth: 0 # fetch all history to avoid detached HEAD state when pushing benchmark results
+ - name: Download previous benchmark data
+ uses: actions/cache@v4
+ with:
+ path: ./cache
+ key: ${{ runner.os }}-benchmark
- uses: fjwillemsen/setup-nox2@v3.0.0
- run: |
- nox
+ nox -- ${{ runner.os }}
+ - name: Store benchmark result
+ uses: benchmark-action/github-action-benchmark@v1
+ with:
+ tool: "pytest"
+ output-file-path: .benchmarks/benchmark_${{ runner.os }}_3.13.json
+ external-data-json-path: ./cache/benchmark-data.json
+ fail-on-alert: true
+ # GitHub API token to make a commit comment
+ github-token: ${{ secrets.GITHUB_TOKEN }}
+ comment-always: true
+ summary-always: true
+ # alert-comment-cc-users: '@fjwillemsen' mention a GitHub user in the comment
- name: Report to Coveralls
uses: coverallsapp/github-action@v2
with:
file: coverage.xml
format: cobertura
+ fail-on-error: false
diff --git a/.gitignore b/.gitignore
index c8e2636..01fce1b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -34,6 +34,7 @@ pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
+.benchmarks
htmlcov/
.tox/
.coverage
diff --git a/README.rst b/README.rst
index 98ffb57..fb2cfbd 100644
--- a/README.rst
+++ b/README.rst
@@ -173,7 +173,8 @@ For an overview of recent changes, visit the `Changelog `_ automated with `GH actions `_
+- Rewrite hotspots in C / Pyx instead of pure python mode
+- Improvements to make the ParallelSolver competitive (experiments reveal the freethreading mode to be promising)
- Versioned documentation
Contact
diff --git a/constraint/problem.py b/constraint/problem.py
index 4641718..0ae1e07 100644
--- a/constraint/problem.py
+++ b/constraint/problem.py
@@ -11,6 +11,12 @@
from constraint.solvers import Solver, OptimizedBacktrackingSolver, ParallelSolver
from constraint.parser import compile_to_constraints
+try:
+ from sys import _is_gil_enabled
+ freethreading = _is_gil_enabled()
+except ImportError:
+ freethreading = False
+
class Problem:
"""Class used to define a problem and retrieve solutions."""
@@ -26,9 +32,14 @@ def __init__(self, solver: Solver=None):
self._str_constraints: list[str] = []
self._variables: dict[Hashable, Domain] = {}
+ # check if solver is instance instead of class
+ assert isinstance(self._solver, Solver), f"`solver` is not instance of Solver class (is {type(self._solver)})."
+
# warn for experimental parallel solver
if isinstance(self._solver, ParallelSolver):
warn("ParallelSolver is currently experimental, and unlikely to be faster than OptimizedBacktrackingSolver. Please report any issues.") # future: remove # noqa E501
+ if not self._solver._process_mode and not freethreading:
+ warn("Using the ParallelSolver in ThreadPool mode without freethreading will cause poor performance.")
def reset(self):
"""Reset the current problem definition.
diff --git a/constraint/solvers.c b/constraint/solvers.c
index 0538049..a43770c 100644
--- a/constraint/solvers.c
+++ b/constraint/solvers.c
@@ -1497,10 +1497,10 @@ static const char *__pyx_f[] = {
/*--- Type declarations ---*/
struct __pyx_obj_10constraint_7solvers___pyx_scope_struct__getSolutionIter;
struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_1_getSolutionIter;
-struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_is_valid;
+struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList;
struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_3_genexpr;
-struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_genexpr;
-struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList;
+struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid;
+struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_genexpr;
struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_6_genexpr;
/* "constraint/solvers.py":153
@@ -1559,30 +1559,65 @@ struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_1_getSolutionIter {
};
-/* "constraint/solvers.py":609
+/* "constraint/solvers.py":662
+ * raise NotImplementedError(msg)
+ *
+ * def getSolutionsList(self, domains: dict[Hashable, Domain], vconstraints: dict[Hashable, list[tuple[Constraint, Hashable]]]) -> list[dict[Hashable, any]]: # noqa: D102, E501 # <<<<<<<<<<<<<<
+ * """Parallelized all-solutions finder using ProcessPoolExecutor for work-stealing."""
+ * # Precompute constraints lookup per variable
+ */
+struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList {
+ PyObject_HEAD
+ PyObject *__pyx_v_constraint_lookup;
+ PyObject *__pyx_v_domains;
+ PyObject *__pyx_v_first_var;
+ PyObject *__pyx_v_remaining_vars;
+ PyObject *__pyx_v_self;
+};
+
+
+/* "constraint/solvers.py":675
+ *
+ * # Create the parallel function arguments and solutions lists
+ * args = ((self.requires_pickling, domains, constraint_lookup, first_var, val, remaining_vars.copy()) for val in domains[first_var]) # noqa: E501 # <<<<<<<<<<<<<<
+ * solutions: list[dict[Hashable, any]] = []
+ *
+ */
+struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_3_genexpr {
+ PyObject_HEAD
+ struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList *__pyx_outer_scope;
+ PyObject *__pyx_genexpr_arg_0;
+ PyObject *__pyx_v_val;
+ PyObject *__pyx_t_0;
+ Py_ssize_t __pyx_t_1;
+ PyObject *(*__pyx_t_2)(PyObject *);
+};
+
+
+/* "constraint/solvers.py":693
* ### Helper functions for parallel solver
*
* def is_valid(assignment: dict[Hashable, any], constraints_lookup: list[tuple[Constraint, Hashable]], domains: dict[Hashable, Domain]) -> bool: # noqa E501 # <<<<<<<<<<<<<<
* """Check if all constraints are satisfied given the current assignment."""
* return all(
*/
-struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_is_valid {
+struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid {
PyObject_HEAD
PyObject *__pyx_v_assignment;
PyObject *__pyx_v_domains;
};
-/* "constraint/solvers.py":612
+/* "constraint/solvers.py":696
* """Check if all constraints are satisfied given the current assignment."""
* return all(
* constraint(vars_involved, domains, assignment, None) # <<<<<<<<<<<<<<
* for constraint, vars_involved in constraints_lookup
* if all(v in assignment for v in vars_involved)
*/
-struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_3_genexpr {
+struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_genexpr {
PyObject_HEAD
- struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_is_valid *__pyx_outer_scope;
+ struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid *__pyx_outer_scope;
PyObject *__pyx_genexpr_arg_0;
PyObject *__pyx_v_constraint;
PyObject *__pyx_v_genexpr;
@@ -1590,53 +1625,18 @@ struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_3_genexpr {
};
-/* "constraint/solvers.py":614
+/* "constraint/solvers.py":698
* constraint(vars_involved, domains, assignment, None)
* for constraint, vars_involved in constraints_lookup
* if all(v in assignment for v in vars_involved) # <<<<<<<<<<<<<<
* )
*
*/
-struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_genexpr {
- PyObject_HEAD
- struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_3_genexpr *__pyx_outer_scope;
- PyObject *__pyx_genexpr_arg_0;
- PyObject *__pyx_v_v;
-};
-
-
-/* "constraint/solvers.py":760
- * raise NotImplementedError(msg)
- *
- * def getSolutionsList(self, domains: dict[Hashable, Domain], vconstraints: dict[Hashable, list[tuple[Constraint, Hashable]]]) -> list[dict[Hashable, any]]: # noqa: D102, E501 # <<<<<<<<<<<<<<
- * """Parallelized all-solutions finder using ProcessPoolExecutor for work-stealing."""
- * # Precompute constraints lookup per variable
- */
-struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList {
- PyObject_HEAD
- PyObject *__pyx_v_constraint_lookup;
- PyObject *__pyx_v_domains;
- PyObject *__pyx_v_first_var;
- PyObject *__pyx_v_remaining_vars;
- PyObject *__pyx_v_self;
-};
-
-
-/* "constraint/solvers.py":773
- *
- * # Create the parallel function arguments and solutions lists
- * args = ((self.requires_pickling, domains, constraint_lookup, first_var, val, remaining_vars.copy()) for val in domains[first_var]) # noqa: E501 # <<<<<<<<<<<<<<
- * solutions: list[dict[Hashable, any]] = []
- *
- */
struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_6_genexpr {
PyObject_HEAD
- struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList *__pyx_outer_scope;
+ struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_genexpr *__pyx_outer_scope;
PyObject *__pyx_genexpr_arg_0;
- PyObject *__pyx_v_val;
- PyObject *__pyx_t_0;
- Py_ssize_t __pyx_t_1;
- PyObject *(*__pyx_t_2)(PyObject *);
+ PyObject *__pyx_v_v;
};
/* #### Code section: utility_code_proto ### */
@@ -2276,42 +2276,11 @@ static CYTHON_INLINE int __Pyx_PyObject_SetSlice(
PyObject** py_start, PyObject** py_stop, PyObject** py_slice,
int has_cstart, int has_cstop, int wraparound);
-/* RaiseUnboundLocalError.proto */
-static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
-
/* RaiseClosureNameError.proto */
static CYTHON_INLINE void __Pyx_RaiseClosureNameError(const char *varname);
-/* GetAttr.proto */
-static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *);
-
-/* Globals.proto */
-static PyObject* __Pyx_Globals(void);
-
-/* SliceTupleAndList.proto */
-#if CYTHON_COMPILING_IN_CPYTHON
-static CYTHON_INLINE PyObject* __Pyx_PyList_GetSlice(PyObject* src, Py_ssize_t start, Py_ssize_t stop);
-static CYTHON_INLINE PyObject* __Pyx_PyTuple_GetSlice(PyObject* src, Py_ssize_t start, Py_ssize_t stop);
-#else
-#define __Pyx_PyList_GetSlice(seq, start, stop) PySequence_GetSlice(seq, start, stop)
-#define __Pyx_PyTuple_GetSlice(seq, start, stop) PySequence_GetSlice(seq, start, stop)
-#endif
-
-/* ListExtend.proto */
-static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {
-#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030d0000
- PyObject* none = _PyList_Extend((PyListObject*)L, v);
- if (unlikely(!none))
- return -1;
- Py_DECREF(none);
- return 0;
-#else
- return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);
-#endif
-}
-
-/* RaiseUnexpectedTypeError.proto */
-static int __Pyx_RaiseUnexpectedTypeError(const char *expected, PyObject *obj);
+/* RaiseUnboundLocalError.proto */
+static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
/* dict_getitem_default.proto */
static PyObject* __Pyx_PyDict_GetItemDefault(PyObject* d, PyObject* key, PyObject* default_value);
@@ -2472,6 +2441,18 @@ static PyObject *__Pyx_CyFunction_New(PyMethodDef *ml,
PyObject *module, PyObject *globals,
PyObject* code);
+/* RaiseUnexpectedTypeError.proto */
+static int __Pyx_RaiseUnexpectedTypeError(const char *expected, PyObject *obj);
+
+/* SliceTupleAndList.proto */
+#if CYTHON_COMPILING_IN_CPYTHON
+static CYTHON_INLINE PyObject* __Pyx_PyList_GetSlice(PyObject* src, Py_ssize_t start, Py_ssize_t stop);
+static CYTHON_INLINE PyObject* __Pyx_PyTuple_GetSlice(PyObject* src, Py_ssize_t start, Py_ssize_t stop);
+#else
+#define __Pyx_PyList_GetSlice(seq, start, stop) PySequence_GetSlice(seq, start, stop)
+#define __Pyx_PyTuple_GetSlice(seq, start, stop) PySequence_GetSlice(seq, start, stop)
+#endif
+
/* PyObjectLookupSpecial.proto */
#if CYTHON_USE_PYTYPE_LOOKUP && CYTHON_USE_TYPE_SLOTS
#define __Pyx_PyObject_LookupSpecialNoError(obj, attr_name) __Pyx__PyObject_LookupSpecial(obj, attr_name, 0)
@@ -2482,6 +2463,25 @@ static CYTHON_INLINE PyObject* __Pyx__PyObject_LookupSpecial(PyObject* obj, PyOb
#define __Pyx_PyObject_LookupSpecial(o,n) __Pyx_PyObject_GetAttrStr(o,n)
#endif
+/* ListExtend.proto */
+static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {
+#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030d0000
+ PyObject* none = _PyList_Extend((PyListObject*)L, v);
+ if (unlikely(!none))
+ return -1;
+ Py_DECREF(none);
+ return 0;
+#else
+ return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);
+#endif
+}
+
+/* GetAttr.proto */
+static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *);
+
+/* Globals.proto */
+static PyObject* __Pyx_Globals(void);
+
/* ValidateBasesTuple.proto */
#if CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_LIMITED_API || CYTHON_USE_TYPE_SPECS
static int __Pyx_validate_bases_tuple(const char *type_name, Py_ssize_t dictoffset, PyObject *bases);
@@ -2713,9 +2713,9 @@ static PyObject *__pyx_builtin_NotImplementedError;
static PyObject *__pyx_builtin_RuntimeError;
static PyObject *__pyx_builtin_StopIteration;
static PyObject *__pyx_builtin_range;
-static PyObject *__pyx_builtin_compile;
static PyObject *__pyx_builtin_super;
static PyObject *__pyx_builtin_sorted;
+static PyObject *__pyx_builtin_compile;
/* #### Code section: string_decls ### */
static const char __pyx_k_c[] = "c";
static const char __pyx_k_v[] = "v";
@@ -2914,7 +2914,7 @@ static const char __pyx_k_Module_containing_the_code_for_t[] = "Module containin
static const char __pyx_k_OptimizedBacktrackingSolver___in[] = "OptimizedBacktrackingSolver.__init__";
static const char __pyx_k_OptimizedBacktrackingSolver_getS[] = "OptimizedBacktrackingSolver.getSolutionIter";
static const char __pyx_k_Problem_solver_based_on_the_mini[] = "Problem solver based on the minimum conflicts theory.\n\n Examples:\n >>> result = [[('a', 1), ('b', 2)],\n ... [('a', 1), ('b', 3)],\n ... [('a', 2), ('b', 3)]]\n\n >>> problem = Problem(MinConflictsSolver())\n >>> problem.addVariables([\"a\", \"b\"], [1, 2, 3])\n >>> problem.addConstraint(lambda a, b: b > a, [\"a\", \"b\"])\n\n >>> solution = problem.getSolution()\n >>> sorted(solution.items()) in result\n True\n\n >>> problem.getSolutions()\n Traceback (most recent call last):\n ...\n NotImplementedError: MinConflictsSolver provides only a single solution\n\n >>> problem.getSolutionIter()\n Traceback (most recent call last):\n ...\n NotImplementedError: MinConflictsSolver doesn't provide iteration\n ";
-static const char __pyx_k_Problem_solver_that_executes_all[] = "Problem solver that executes all-solution solve in parallel (ProcessPool or ThreadPool mode).\n\n Sorts the domains on size, creating jobs for each value in the domain with the most variables.\n Each leaf job is solved locally with either optimized backtracking or recursion.\n Whether this is actually faster than non-parallel solving depends on your problem, and hardware and software environment. \n\n Uses ThreadPool by default. Instantiate with process_mode=True to use ProcessPool. \n In ProcessPool mode, the jobs do not share memory.\n In ProcessPool mode, precompiled FunctionConstraints are not allowed due to pickling, use string constraints instead.\n\n Examples:\n >>> result = [[('a', 1), ('b', 2)],\n ... [('a', 1), ('b', 3)],\n ... [('a', 2), ('b', 3)]]\n\n >>> problem = Problem(ParallelSolver())\n >>> problem.addVariables([\"a\", \"b\"], [1, 2, 3])\n >>> problem.addConstraint(\"b > a\", [\"a\", \"b\"])\n\n >>> for solution in problem.getSolutions():\n ... sorted(solution.items()) in result\n True\n True\n True\n\n >>> problem.getSolution()\n Traceback (most recent call last):\n ...\n NotImplementedError: ParallelSolver only provides all solutions\n\n >>> problem.getSolutionIter()\n Traceback (most recent call last):\n ...\n NotImplementedError: ParallelSolver doesn't provide iteration\n ";
+static const char __pyx_k_Problem_solver_that_executes_all[] = "Problem solver that executes all-solution solve in parallel (ProcessPool or ThreadPool mode).\n\n Sorts the domains on size, creating jobs for each value in the domain with the most variables.\n Each leaf job is solved locally with either optimized backtracking or recursion.\n Whether this is actually faster than non-parallel solving depends on your problem, and hardware and software environment. \n\n Uses ThreadPool by default. Instantiate with process_mode=True to use ProcessPool. \n In ProcessPool mode, the jobs do not share memory.\n In ProcessPool mode, precompiled FunctionConstraints are not allowed due to pickling, use string constraints instead.\n\n Examples:\n >>> result = [[('a', 1), ('b', 2)],\n ... [('a', 1), ('b', 3)],\n ... [('a', 2), ('b', 3)]]\n\n >>> problem = Problem(ParallelSolver())\n >>> problem.addVariables([\"a\", \"b\"], [1, 2, 3])\n >>> problem.addConstraint(\"b > a\", [\"a\", \"b\"])\n\n >>> for solution in problem.getSolutions():\n ... sorted(solution.items()) in result\n True\n True\n True\n\n >>> problem.getSolution()\n Traceback (most recent call last):\n ...\n NotImplementedError: ParallelSolver only provides all solutions\n\n >>> problem.getSolutionIter()\n Traceback (most recent call last):\n ...\n NotImplementedError: ParallelSolver doesn't provide iteration\n ";
static const char __pyx_k_Problem_solver_with_backtracking[] = "Problem solver with backtracking capabilities.\n\n Examples:\n >>> result = [[('a', 1), ('b', 2)],\n ... [('a', 1), ('b', 3)],\n ... [('a', 2), ('b', 3)]]\n\n >>> problem = Problem(BacktrackingSolver())\n >>> problem.addVariables([\"a\", \"b\"], [1, 2, 3])\n >>> problem.addConstraint(lambda a, b: b > a, [\"a\", \"b\"])\n\n >>> solution = problem.getSolution()\n >>> sorted(solution.items()) in result\n True\n\n >>> for solution in problem.getSolutionIter():\n ... sorted(solution.items()) in result\n True\n True\n True\n\n >>> for solution in problem.getSolutions():\n ... sorted(solution.items()) in result\n True\n True\n True\n ";
static const char __pyx_k_RecursiveBacktrackingSolver___in[] = "RecursiveBacktrackingSolver.__init__";
static const char __pyx_k_RecursiveBacktrackingSolver_getS[] = "RecursiveBacktrackingSolver.getSolution";
@@ -2952,6 +2952,12 @@ static PyObject *__pyx_pf_10constraint_7solvers_27RecursiveBacktrackingSolver_4g
static PyObject *__pyx_pf_10constraint_7solvers_27RecursiveBacktrackingSolver_6getSolutions(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_domains, CYTHON_UNUSED PyObject *__pyx_v_constraints, PyObject *__pyx_v_vconstraints); /* proto */
static PyObject *__pyx_pf_10constraint_7solvers_18MinConflictsSolver___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_steps, PyObject *__pyx_v_rand); /* proto */
static PyObject *__pyx_pf_10constraint_7solvers_18MinConflictsSolver_2getSolution(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_domains, CYTHON_UNUSED PyObject *__pyx_v_constraints, PyObject *__pyx_v_vconstraints); /* proto */
+static PyObject *__pyx_pf_10constraint_7solvers_14ParallelSolver___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_process_mode); /* proto */
+static PyObject *__pyx_pf_10constraint_7solvers_14ParallelSolver_2getSolution(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v_domains, CYTHON_UNUSED PyObject *__pyx_v_constraints, CYTHON_UNUSED PyObject *__pyx_v_vconstraints); /* proto */
+static PyObject *__pyx_lambda_funcdef_lambda(PyObject *__pyx_self, PyObject *__pyx_v_v); /* proto */
+static PyObject *__pyx_pf_10constraint_7solvers_14ParallelSolver_16getSolutionsList_1genexpr(PyObject *__pyx_self, PyObject *__pyx_genexpr_arg_0); /* proto */
+static PyObject *__pyx_pf_10constraint_7solvers_14ParallelSolver_4getSolutionsList(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_domains, PyObject *__pyx_v_vconstraints); /* proto */
+static PyObject *__pyx_pf_10constraint_7solvers_14ParallelSolver_6getSolutions(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_domains, CYTHON_UNUSED PyObject *__pyx_v_constraints, PyObject *__pyx_v_vconstraints); /* proto */
static PyObject *__pyx_pf_10constraint_7solvers_8is_valid_7genexpr_genexpr(PyObject *__pyx_self, PyObject *__pyx_genexpr_arg_0); /* proto */
static PyObject *__pyx_pf_10constraint_7solvers_8is_valid_genexpr(PyObject *__pyx_self, PyObject *__pyx_genexpr_arg_0); /* proto */
static PyObject *__pyx_pf_10constraint_7solvers_4is_valid(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_assignment, PyObject *__pyx_v_constraints_lookup, PyObject *__pyx_v_domains); /* proto */
@@ -2959,18 +2965,12 @@ static PyObject *__pyx_pf_10constraint_7solvers_6compile_to_function(CYTHON_UNUS
static PyObject *__pyx_pf_10constraint_7solvers_8sequential_recursive_backtrack(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_assignment, PyObject *__pyx_v_unassigned_vars, PyObject *__pyx_v_domains, PyObject *__pyx_v_constraint_lookup); /* proto */
static PyObject *__pyx_pf_10constraint_7solvers_10sequential_optimized_backtrack(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_assignment, PyObject *__pyx_v_unassigned_vars, PyObject *__pyx_v_domains, PyObject *__pyx_v_constraint_lookup); /* proto */
static PyObject *__pyx_pf_10constraint_7solvers_12parallel_worker(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_args); /* proto */
-static PyObject *__pyx_pf_10constraint_7solvers_14ParallelSolver___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_process_mode); /* proto */
-static PyObject *__pyx_pf_10constraint_7solvers_14ParallelSolver_2getSolution(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v_domains, CYTHON_UNUSED PyObject *__pyx_v_constraints, CYTHON_UNUSED PyObject *__pyx_v_vconstraints); /* proto */
-static PyObject *__pyx_lambda_funcdef_lambda2(PyObject *__pyx_self, PyObject *__pyx_v_v); /* proto */
-static PyObject *__pyx_pf_10constraint_7solvers_14ParallelSolver_16getSolutionsList_1genexpr(PyObject *__pyx_self, PyObject *__pyx_genexpr_arg_0); /* proto */
-static PyObject *__pyx_pf_10constraint_7solvers_14ParallelSolver_4getSolutionsList(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_domains, PyObject *__pyx_v_vconstraints); /* proto */
-static PyObject *__pyx_pf_10constraint_7solvers_14ParallelSolver_6getSolutions(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_domains, CYTHON_UNUSED PyObject *__pyx_v_constraints, PyObject *__pyx_v_vconstraints); /* proto */
static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct__getSolutionIter(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_1_getSolutionIter(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
-static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_2_is_valid(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
+static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_3_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
-static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_4_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
-static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
+static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_4_is_valid(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
+static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_5_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_6_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static __Pyx_CachedCFunction __pyx_umethod_PyDict_Type_get = {0, 0, 0, 0, 0};
static __Pyx_CachedCFunction __pyx_umethod_PyDict_Type_keys = {0, 0, 0, 0, 0};
@@ -3007,18 +3007,18 @@ typedef struct {
#if CYTHON_USE_MODULE_STATE
PyObject *__pyx_type_10constraint_7solvers___pyx_scope_struct__getSolutionIter;
PyObject *__pyx_type_10constraint_7solvers___pyx_scope_struct_1_getSolutionIter;
- PyObject *__pyx_type_10constraint_7solvers___pyx_scope_struct_2_is_valid;
+ PyObject *__pyx_type_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList;
PyObject *__pyx_type_10constraint_7solvers___pyx_scope_struct_3_genexpr;
- PyObject *__pyx_type_10constraint_7solvers___pyx_scope_struct_4_genexpr;
- PyObject *__pyx_type_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList;
+ PyObject *__pyx_type_10constraint_7solvers___pyx_scope_struct_4_is_valid;
+ PyObject *__pyx_type_10constraint_7solvers___pyx_scope_struct_5_genexpr;
PyObject *__pyx_type_10constraint_7solvers___pyx_scope_struct_6_genexpr;
#endif
PyTypeObject *__pyx_ptype_10constraint_7solvers___pyx_scope_struct__getSolutionIter;
PyTypeObject *__pyx_ptype_10constraint_7solvers___pyx_scope_struct_1_getSolutionIter;
- PyTypeObject *__pyx_ptype_10constraint_7solvers___pyx_scope_struct_2_is_valid;
+ PyTypeObject *__pyx_ptype_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList;
PyTypeObject *__pyx_ptype_10constraint_7solvers___pyx_scope_struct_3_genexpr;
- PyTypeObject *__pyx_ptype_10constraint_7solvers___pyx_scope_struct_4_genexpr;
- PyTypeObject *__pyx_ptype_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList;
+ PyTypeObject *__pyx_ptype_10constraint_7solvers___pyx_scope_struct_4_is_valid;
+ PyTypeObject *__pyx_ptype_10constraint_7solvers___pyx_scope_struct_5_genexpr;
PyTypeObject *__pyx_ptype_10constraint_7solvers___pyx_scope_struct_6_genexpr;
PyObject *__pyx_kp_s_Abstract_base_class_for_solvers;
PyObject *__pyx_n_s_BacktrackingSolver;
@@ -3257,11 +3257,11 @@ typedef struct {
PyObject *__pyx_tuple__44;
PyObject *__pyx_tuple__46;
PyObject *__pyx_tuple__48;
- PyObject *__pyx_tuple__50;
- PyObject *__pyx_tuple__52;
- PyObject *__pyx_tuple__54;
- PyObject *__pyx_tuple__56;
- PyObject *__pyx_tuple__58;
+ PyObject *__pyx_tuple__51;
+ PyObject *__pyx_tuple__53;
+ PyObject *__pyx_tuple__55;
+ PyObject *__pyx_tuple__57;
+ PyObject *__pyx_tuple__59;
PyObject *__pyx_codeobj__2;
PyObject *__pyx_codeobj__4;
PyObject *__pyx_codeobj__9;
@@ -3286,11 +3286,11 @@ typedef struct {
PyObject *__pyx_codeobj__45;
PyObject *__pyx_codeobj__47;
PyObject *__pyx_codeobj__49;
- PyObject *__pyx_codeobj__51;
- PyObject *__pyx_codeobj__53;
- PyObject *__pyx_codeobj__55;
- PyObject *__pyx_codeobj__57;
- PyObject *__pyx_codeobj__59;
+ PyObject *__pyx_codeobj__50;
+ PyObject *__pyx_codeobj__52;
+ PyObject *__pyx_codeobj__54;
+ PyObject *__pyx_codeobj__56;
+ PyObject *__pyx_codeobj__58;
PyObject *__pyx_codeobj__60;
} __pyx_mstate;
@@ -3338,14 +3338,14 @@ static int __pyx_m_clear(PyObject *m) {
Py_CLEAR(clear_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct__getSolutionIter);
Py_CLEAR(clear_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_1_getSolutionIter);
Py_CLEAR(clear_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_1_getSolutionIter);
- Py_CLEAR(clear_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_2_is_valid);
- Py_CLEAR(clear_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_2_is_valid);
+ Py_CLEAR(clear_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList);
+ Py_CLEAR(clear_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList);
Py_CLEAR(clear_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_3_genexpr);
Py_CLEAR(clear_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_3_genexpr);
- Py_CLEAR(clear_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_4_genexpr);
- Py_CLEAR(clear_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_4_genexpr);
- Py_CLEAR(clear_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList);
- Py_CLEAR(clear_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList);
+ Py_CLEAR(clear_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_4_is_valid);
+ Py_CLEAR(clear_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_4_is_valid);
+ Py_CLEAR(clear_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_5_genexpr);
+ Py_CLEAR(clear_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_5_genexpr);
Py_CLEAR(clear_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_6_genexpr);
Py_CLEAR(clear_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_6_genexpr);
Py_CLEAR(clear_module_state->__pyx_kp_s_Abstract_base_class_for_solvers);
@@ -3585,11 +3585,11 @@ static int __pyx_m_clear(PyObject *m) {
Py_CLEAR(clear_module_state->__pyx_tuple__44);
Py_CLEAR(clear_module_state->__pyx_tuple__46);
Py_CLEAR(clear_module_state->__pyx_tuple__48);
- Py_CLEAR(clear_module_state->__pyx_tuple__50);
- Py_CLEAR(clear_module_state->__pyx_tuple__52);
- Py_CLEAR(clear_module_state->__pyx_tuple__54);
- Py_CLEAR(clear_module_state->__pyx_tuple__56);
- Py_CLEAR(clear_module_state->__pyx_tuple__58);
+ Py_CLEAR(clear_module_state->__pyx_tuple__51);
+ Py_CLEAR(clear_module_state->__pyx_tuple__53);
+ Py_CLEAR(clear_module_state->__pyx_tuple__55);
+ Py_CLEAR(clear_module_state->__pyx_tuple__57);
+ Py_CLEAR(clear_module_state->__pyx_tuple__59);
Py_CLEAR(clear_module_state->__pyx_codeobj__2);
Py_CLEAR(clear_module_state->__pyx_codeobj__4);
Py_CLEAR(clear_module_state->__pyx_codeobj__9);
@@ -3614,11 +3614,11 @@ static int __pyx_m_clear(PyObject *m) {
Py_CLEAR(clear_module_state->__pyx_codeobj__45);
Py_CLEAR(clear_module_state->__pyx_codeobj__47);
Py_CLEAR(clear_module_state->__pyx_codeobj__49);
- Py_CLEAR(clear_module_state->__pyx_codeobj__51);
- Py_CLEAR(clear_module_state->__pyx_codeobj__53);
- Py_CLEAR(clear_module_state->__pyx_codeobj__55);
- Py_CLEAR(clear_module_state->__pyx_codeobj__57);
- Py_CLEAR(clear_module_state->__pyx_codeobj__59);
+ Py_CLEAR(clear_module_state->__pyx_codeobj__50);
+ Py_CLEAR(clear_module_state->__pyx_codeobj__52);
+ Py_CLEAR(clear_module_state->__pyx_codeobj__54);
+ Py_CLEAR(clear_module_state->__pyx_codeobj__56);
+ Py_CLEAR(clear_module_state->__pyx_codeobj__58);
Py_CLEAR(clear_module_state->__pyx_codeobj__60);
return 0;
}
@@ -3644,14 +3644,14 @@ static int __pyx_m_traverse(PyObject *m, visitproc visit, void *arg) {
Py_VISIT(traverse_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct__getSolutionIter);
Py_VISIT(traverse_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_1_getSolutionIter);
Py_VISIT(traverse_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_1_getSolutionIter);
- Py_VISIT(traverse_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_2_is_valid);
- Py_VISIT(traverse_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_2_is_valid);
+ Py_VISIT(traverse_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList);
+ Py_VISIT(traverse_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList);
Py_VISIT(traverse_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_3_genexpr);
Py_VISIT(traverse_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_3_genexpr);
- Py_VISIT(traverse_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_4_genexpr);
- Py_VISIT(traverse_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_4_genexpr);
- Py_VISIT(traverse_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList);
- Py_VISIT(traverse_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList);
+ Py_VISIT(traverse_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_4_is_valid);
+ Py_VISIT(traverse_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_4_is_valid);
+ Py_VISIT(traverse_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_5_genexpr);
+ Py_VISIT(traverse_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_5_genexpr);
Py_VISIT(traverse_module_state->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_6_genexpr);
Py_VISIT(traverse_module_state->__pyx_type_10constraint_7solvers___pyx_scope_struct_6_genexpr);
Py_VISIT(traverse_module_state->__pyx_kp_s_Abstract_base_class_for_solvers);
@@ -3891,11 +3891,11 @@ static int __pyx_m_traverse(PyObject *m, visitproc visit, void *arg) {
Py_VISIT(traverse_module_state->__pyx_tuple__44);
Py_VISIT(traverse_module_state->__pyx_tuple__46);
Py_VISIT(traverse_module_state->__pyx_tuple__48);
- Py_VISIT(traverse_module_state->__pyx_tuple__50);
- Py_VISIT(traverse_module_state->__pyx_tuple__52);
- Py_VISIT(traverse_module_state->__pyx_tuple__54);
- Py_VISIT(traverse_module_state->__pyx_tuple__56);
- Py_VISIT(traverse_module_state->__pyx_tuple__58);
+ Py_VISIT(traverse_module_state->__pyx_tuple__51);
+ Py_VISIT(traverse_module_state->__pyx_tuple__53);
+ Py_VISIT(traverse_module_state->__pyx_tuple__55);
+ Py_VISIT(traverse_module_state->__pyx_tuple__57);
+ Py_VISIT(traverse_module_state->__pyx_tuple__59);
Py_VISIT(traverse_module_state->__pyx_codeobj__2);
Py_VISIT(traverse_module_state->__pyx_codeobj__4);
Py_VISIT(traverse_module_state->__pyx_codeobj__9);
@@ -3920,11 +3920,11 @@ static int __pyx_m_traverse(PyObject *m, visitproc visit, void *arg) {
Py_VISIT(traverse_module_state->__pyx_codeobj__45);
Py_VISIT(traverse_module_state->__pyx_codeobj__47);
Py_VISIT(traverse_module_state->__pyx_codeobj__49);
- Py_VISIT(traverse_module_state->__pyx_codeobj__51);
- Py_VISIT(traverse_module_state->__pyx_codeobj__53);
- Py_VISIT(traverse_module_state->__pyx_codeobj__55);
- Py_VISIT(traverse_module_state->__pyx_codeobj__57);
- Py_VISIT(traverse_module_state->__pyx_codeobj__59);
+ Py_VISIT(traverse_module_state->__pyx_codeobj__50);
+ Py_VISIT(traverse_module_state->__pyx_codeobj__52);
+ Py_VISIT(traverse_module_state->__pyx_codeobj__54);
+ Py_VISIT(traverse_module_state->__pyx_codeobj__56);
+ Py_VISIT(traverse_module_state->__pyx_codeobj__58);
Py_VISIT(traverse_module_state->__pyx_codeobj__60);
return 0;
}
@@ -3957,18 +3957,18 @@ static int __pyx_m_traverse(PyObject *m, visitproc visit, void *arg) {
#if CYTHON_USE_MODULE_STATE
#define __pyx_type_10constraint_7solvers___pyx_scope_struct__getSolutionIter __pyx_mstate_global->__pyx_type_10constraint_7solvers___pyx_scope_struct__getSolutionIter
#define __pyx_type_10constraint_7solvers___pyx_scope_struct_1_getSolutionIter __pyx_mstate_global->__pyx_type_10constraint_7solvers___pyx_scope_struct_1_getSolutionIter
-#define __pyx_type_10constraint_7solvers___pyx_scope_struct_2_is_valid __pyx_mstate_global->__pyx_type_10constraint_7solvers___pyx_scope_struct_2_is_valid
+#define __pyx_type_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList __pyx_mstate_global->__pyx_type_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList
#define __pyx_type_10constraint_7solvers___pyx_scope_struct_3_genexpr __pyx_mstate_global->__pyx_type_10constraint_7solvers___pyx_scope_struct_3_genexpr
-#define __pyx_type_10constraint_7solvers___pyx_scope_struct_4_genexpr __pyx_mstate_global->__pyx_type_10constraint_7solvers___pyx_scope_struct_4_genexpr
-#define __pyx_type_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList __pyx_mstate_global->__pyx_type_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList
+#define __pyx_type_10constraint_7solvers___pyx_scope_struct_4_is_valid __pyx_mstate_global->__pyx_type_10constraint_7solvers___pyx_scope_struct_4_is_valid
+#define __pyx_type_10constraint_7solvers___pyx_scope_struct_5_genexpr __pyx_mstate_global->__pyx_type_10constraint_7solvers___pyx_scope_struct_5_genexpr
#define __pyx_type_10constraint_7solvers___pyx_scope_struct_6_genexpr __pyx_mstate_global->__pyx_type_10constraint_7solvers___pyx_scope_struct_6_genexpr
#endif
#define __pyx_ptype_10constraint_7solvers___pyx_scope_struct__getSolutionIter __pyx_mstate_global->__pyx_ptype_10constraint_7solvers___pyx_scope_struct__getSolutionIter
#define __pyx_ptype_10constraint_7solvers___pyx_scope_struct_1_getSolutionIter __pyx_mstate_global->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_1_getSolutionIter
-#define __pyx_ptype_10constraint_7solvers___pyx_scope_struct_2_is_valid __pyx_mstate_global->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_2_is_valid
+#define __pyx_ptype_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList __pyx_mstate_global->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList
#define __pyx_ptype_10constraint_7solvers___pyx_scope_struct_3_genexpr __pyx_mstate_global->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_3_genexpr
-#define __pyx_ptype_10constraint_7solvers___pyx_scope_struct_4_genexpr __pyx_mstate_global->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_4_genexpr
-#define __pyx_ptype_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList __pyx_mstate_global->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList
+#define __pyx_ptype_10constraint_7solvers___pyx_scope_struct_4_is_valid __pyx_mstate_global->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_4_is_valid
+#define __pyx_ptype_10constraint_7solvers___pyx_scope_struct_5_genexpr __pyx_mstate_global->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_5_genexpr
#define __pyx_ptype_10constraint_7solvers___pyx_scope_struct_6_genexpr __pyx_mstate_global->__pyx_ptype_10constraint_7solvers___pyx_scope_struct_6_genexpr
#define __pyx_kp_s_Abstract_base_class_for_solvers __pyx_mstate_global->__pyx_kp_s_Abstract_base_class_for_solvers
#define __pyx_n_s_BacktrackingSolver __pyx_mstate_global->__pyx_n_s_BacktrackingSolver
@@ -4207,11 +4207,11 @@ static int __pyx_m_traverse(PyObject *m, visitproc visit, void *arg) {
#define __pyx_tuple__44 __pyx_mstate_global->__pyx_tuple__44
#define __pyx_tuple__46 __pyx_mstate_global->__pyx_tuple__46
#define __pyx_tuple__48 __pyx_mstate_global->__pyx_tuple__48
-#define __pyx_tuple__50 __pyx_mstate_global->__pyx_tuple__50
-#define __pyx_tuple__52 __pyx_mstate_global->__pyx_tuple__52
-#define __pyx_tuple__54 __pyx_mstate_global->__pyx_tuple__54
-#define __pyx_tuple__56 __pyx_mstate_global->__pyx_tuple__56
-#define __pyx_tuple__58 __pyx_mstate_global->__pyx_tuple__58
+#define __pyx_tuple__51 __pyx_mstate_global->__pyx_tuple__51
+#define __pyx_tuple__53 __pyx_mstate_global->__pyx_tuple__53
+#define __pyx_tuple__55 __pyx_mstate_global->__pyx_tuple__55
+#define __pyx_tuple__57 __pyx_mstate_global->__pyx_tuple__57
+#define __pyx_tuple__59 __pyx_mstate_global->__pyx_tuple__59
#define __pyx_codeobj__2 __pyx_mstate_global->__pyx_codeobj__2
#define __pyx_codeobj__4 __pyx_mstate_global->__pyx_codeobj__4
#define __pyx_codeobj__9 __pyx_mstate_global->__pyx_codeobj__9
@@ -4236,11 +4236,11 @@ static int __pyx_m_traverse(PyObject *m, visitproc visit, void *arg) {
#define __pyx_codeobj__45 __pyx_mstate_global->__pyx_codeobj__45
#define __pyx_codeobj__47 __pyx_mstate_global->__pyx_codeobj__47
#define __pyx_codeobj__49 __pyx_mstate_global->__pyx_codeobj__49
-#define __pyx_codeobj__51 __pyx_mstate_global->__pyx_codeobj__51
-#define __pyx_codeobj__53 __pyx_mstate_global->__pyx_codeobj__53
-#define __pyx_codeobj__55 __pyx_mstate_global->__pyx_codeobj__55
-#define __pyx_codeobj__57 __pyx_mstate_global->__pyx_codeobj__57
-#define __pyx_codeobj__59 __pyx_mstate_global->__pyx_codeobj__59
+#define __pyx_codeobj__50 __pyx_mstate_global->__pyx_codeobj__50
+#define __pyx_codeobj__52 __pyx_mstate_global->__pyx_codeobj__52
+#define __pyx_codeobj__54 __pyx_mstate_global->__pyx_codeobj__54
+#define __pyx_codeobj__56 __pyx_mstate_global->__pyx_codeobj__56
+#define __pyx_codeobj__58 __pyx_mstate_global->__pyx_codeobj__58
#define __pyx_codeobj__60 __pyx_mstate_global->__pyx_codeobj__60
/* #### Code section: module_code ### */
@@ -15621,45 +15621,44 @@ static PyObject *__pyx_pf_10constraint_7solvers_18MinConflictsSolver_2getSolutio
return __pyx_r;
}
-/* "constraint/solvers.py":609
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PyObject_GC_UnTrack(o);
- Py_CLEAR(p->__pyx_v_assignment);
+ Py_CLEAR(p->__pyx_v_constraint_lookup);
Py_CLEAR(p->__pyx_v_domains);
+ Py_CLEAR(p->__pyx_v_first_var);
+ Py_CLEAR(p->__pyx_v_remaining_vars);
+ Py_CLEAR(p->__pyx_v_self);
#if CYTHON_USE_FREELISTS
- if (((int)(__pyx_freecount_10constraint_7solvers___pyx_scope_struct_2_is_valid < 8) & (int)(Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_is_valid)))) {
- __pyx_freelist_10constraint_7solvers___pyx_scope_struct_2_is_valid[__pyx_freecount_10constraint_7solvers___pyx_scope_struct_2_is_valid++] = ((struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_is_valid *)o);
+ if (((int)(__pyx_freecount_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList < 8) & (int)(Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList)))) {
+ __pyx_freelist_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList[__pyx_freecount_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList++] = ((struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList *)o);
} else
#endif
{
@@ -20642,52 +20645,70 @@ static void __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_2_is_valid
}
}
-static int __pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_2_is_valid(PyObject *o, visitproc v, void *a) {
+static int __pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList(PyObject *o, visitproc v, void *a) {
int e;
- struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_is_valid *p = (struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_is_valid *)o;
- if (p->__pyx_v_assignment) {
- e = (*v)(p->__pyx_v_assignment, a); if (e) return e;
+ struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList *p = (struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList *)o;
+ if (p->__pyx_v_constraint_lookup) {
+ e = (*v)(p->__pyx_v_constraint_lookup, a); if (e) return e;
}
if (p->__pyx_v_domains) {
e = (*v)(p->__pyx_v_domains, a); if (e) return e;
}
+ if (p->__pyx_v_first_var) {
+ e = (*v)(p->__pyx_v_first_var, a); if (e) return e;
+ }
+ if (p->__pyx_v_remaining_vars) {
+ e = (*v)(p->__pyx_v_remaining_vars, a); if (e) return e;
+ }
+ if (p->__pyx_v_self) {
+ e = (*v)(p->__pyx_v_self, a); if (e) return e;
+ }
return 0;
}
-static int __pyx_tp_clear_10constraint_7solvers___pyx_scope_struct_2_is_valid(PyObject *o) {
+static int __pyx_tp_clear_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList(PyObject *o) {
PyObject* tmp;
- struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_is_valid *p = (struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_is_valid *)o;
- tmp = ((PyObject*)p->__pyx_v_assignment);
- p->__pyx_v_assignment = ((PyObject*)Py_None); Py_INCREF(Py_None);
+ struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList *p = (struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList *)o;
+ tmp = ((PyObject*)p->__pyx_v_constraint_lookup);
+ p->__pyx_v_constraint_lookup = ((PyObject*)Py_None); Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->__pyx_v_domains);
p->__pyx_v_domains = ((PyObject*)Py_None); Py_INCREF(Py_None);
Py_XDECREF(tmp);
+ tmp = ((PyObject*)p->__pyx_v_first_var);
+ p->__pyx_v_first_var = Py_None; Py_INCREF(Py_None);
+ Py_XDECREF(tmp);
+ tmp = ((PyObject*)p->__pyx_v_remaining_vars);
+ p->__pyx_v_remaining_vars = ((PyObject*)Py_None); Py_INCREF(Py_None);
+ Py_XDECREF(tmp);
+ tmp = ((PyObject*)p->__pyx_v_self);
+ p->__pyx_v_self = Py_None; Py_INCREF(Py_None);
+ Py_XDECREF(tmp);
return 0;
}
#if CYTHON_USE_TYPE_SPECS
-static PyType_Slot __pyx_type_10constraint_7solvers___pyx_scope_struct_2_is_valid_slots[] = {
- {Py_tp_dealloc, (void *)__pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_2_is_valid},
- {Py_tp_traverse, (void *)__pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_2_is_valid},
- {Py_tp_clear, (void *)__pyx_tp_clear_10constraint_7solvers___pyx_scope_struct_2_is_valid},
- {Py_tp_new, (void *)__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_2_is_valid},
+static PyType_Slot __pyx_type_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList_slots[] = {
+ {Py_tp_dealloc, (void *)__pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList},
+ {Py_tp_traverse, (void *)__pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList},
+ {Py_tp_clear, (void *)__pyx_tp_clear_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList},
+ {Py_tp_new, (void *)__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList},
{0, 0},
};
-static PyType_Spec __pyx_type_10constraint_7solvers___pyx_scope_struct_2_is_valid_spec = {
- "constraint.solvers.__pyx_scope_struct_2_is_valid",
- sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_is_valid),
+static PyType_Spec __pyx_type_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList_spec = {
+ "constraint.solvers.__pyx_scope_struct_2_getSolutionsList",
+ sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList),
0,
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC|Py_TPFLAGS_HAVE_FINALIZE,
- __pyx_type_10constraint_7solvers___pyx_scope_struct_2_is_valid_slots,
+ __pyx_type_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList_slots,
};
#else
-static PyTypeObject __pyx_type_10constraint_7solvers___pyx_scope_struct_2_is_valid = {
+static PyTypeObject __pyx_type_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList = {
PyVarObject_HEAD_INIT(0, 0)
- "constraint.solvers.""__pyx_scope_struct_2_is_valid", /*tp_name*/
- sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_is_valid), /*tp_basicsize*/
+ "constraint.solvers.""__pyx_scope_struct_2_getSolutionsList", /*tp_name*/
+ sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList), /*tp_basicsize*/
0, /*tp_itemsize*/
- __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_2_is_valid, /*tp_dealloc*/
+ __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
@@ -20714,8 +20735,8 @@ static PyTypeObject __pyx_type_10constraint_7solvers___pyx_scope_struct_2_is_val
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC|Py_TPFLAGS_HAVE_FINALIZE, /*tp_flags*/
0, /*tp_doc*/
- __pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_2_is_valid, /*tp_traverse*/
- __pyx_tp_clear_10constraint_7solvers___pyx_scope_struct_2_is_valid, /*tp_clear*/
+ __pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList, /*tp_traverse*/
+ __pyx_tp_clear_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
@@ -20732,7 +20753,7 @@ static PyTypeObject __pyx_type_10constraint_7solvers___pyx_scope_struct_2_is_val
#endif
0, /*tp_init*/
0, /*tp_alloc*/
- __pyx_tp_new_10constraint_7solvers___pyx_scope_struct_2_is_valid, /*tp_new*/
+ __pyx_tp_new_10constraint_7solvers___pyx_scope_struct_2_getSolutionsList, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
@@ -20806,9 +20827,8 @@ static void __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_3_genexpr(
PyObject_GC_UnTrack(o);
Py_CLEAR(p->__pyx_outer_scope);
Py_CLEAR(p->__pyx_genexpr_arg_0);
- Py_CLEAR(p->__pyx_v_constraint);
- Py_CLEAR(p->__pyx_v_genexpr);
- Py_CLEAR(p->__pyx_v_vars_involved);
+ Py_CLEAR(p->__pyx_v_val);
+ Py_CLEAR(p->__pyx_t_0);
#if CYTHON_USE_FREELISTS
if (((int)(__pyx_freecount_10constraint_7solvers___pyx_scope_struct_3_genexpr < 8) & (int)(Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_3_genexpr)))) {
__pyx_freelist_10constraint_7solvers___pyx_scope_struct_3_genexpr[__pyx_freecount_10constraint_7solvers___pyx_scope_struct_3_genexpr++] = ((struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_3_genexpr *)o);
@@ -20835,14 +20855,11 @@ static int __pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_3_genexpr(
if (p->__pyx_genexpr_arg_0) {
e = (*v)(p->__pyx_genexpr_arg_0, a); if (e) return e;
}
- if (p->__pyx_v_constraint) {
- e = (*v)(p->__pyx_v_constraint, a); if (e) return e;
- }
- if (p->__pyx_v_genexpr) {
- e = (*v)(p->__pyx_v_genexpr, a); if (e) return e;
+ if (p->__pyx_v_val) {
+ e = (*v)(p->__pyx_v_val, a); if (e) return e;
}
- if (p->__pyx_v_vars_involved) {
- e = (*v)(p->__pyx_v_vars_involved, a); if (e) return e;
+ if (p->__pyx_t_0) {
+ e = (*v)(p->__pyx_t_0, a); if (e) return e;
}
return 0;
}
@@ -20948,20 +20965,20 @@ static PyTypeObject __pyx_type_10constraint_7solvers___pyx_scope_struct_3_genexp
#endif
#if CYTHON_USE_FREELISTS
-static struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_genexpr *__pyx_freelist_10constraint_7solvers___pyx_scope_struct_4_genexpr[8];
-static int __pyx_freecount_10constraint_7solvers___pyx_scope_struct_4_genexpr = 0;
+static struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid *__pyx_freelist_10constraint_7solvers___pyx_scope_struct_4_is_valid[8];
+static int __pyx_freecount_10constraint_7solvers___pyx_scope_struct_4_is_valid = 0;
#endif
-static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_4_genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
+static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_4_is_valid(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
PyObject *o;
#if CYTHON_COMPILING_IN_LIMITED_API
allocfunc alloc_func = (allocfunc)PyType_GetSlot(t, Py_tp_alloc);
o = alloc_func(t, 0);
#else
#if CYTHON_USE_FREELISTS
- if (likely((int)(__pyx_freecount_10constraint_7solvers___pyx_scope_struct_4_genexpr > 0) & (int)(t->tp_basicsize == sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_genexpr)))) {
- o = (PyObject*)__pyx_freelist_10constraint_7solvers___pyx_scope_struct_4_genexpr[--__pyx_freecount_10constraint_7solvers___pyx_scope_struct_4_genexpr];
- memset(o, 0, sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_genexpr));
+ if (likely((int)(__pyx_freecount_10constraint_7solvers___pyx_scope_struct_4_is_valid > 0) & (int)(t->tp_basicsize == sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid)))) {
+ o = (PyObject*)__pyx_freelist_10constraint_7solvers___pyx_scope_struct_4_is_valid[--__pyx_freecount_10constraint_7solvers___pyx_scope_struct_4_is_valid];
+ memset(o, 0, sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid));
(void) PyObject_INIT(o, t);
PyObject_GC_Track(o);
} else
@@ -20974,22 +20991,21 @@ static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_4_genexpr
return o;
}
-static void __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_4_genexpr(PyObject *o) {
- struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_genexpr *p = (struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_genexpr *)o;
+static void __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_4_is_valid(PyObject *o) {
+ struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid *p = (struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely((PY_VERSION_HEX >= 0x03080000 || __Pyx_PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE)) && __Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && !__Pyx_PyObject_GC_IsFinalized(o)) {
- if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_4_genexpr) {
+ if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_4_is_valid) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
}
#endif
PyObject_GC_UnTrack(o);
- Py_CLEAR(p->__pyx_outer_scope);
- Py_CLEAR(p->__pyx_genexpr_arg_0);
- Py_CLEAR(p->__pyx_v_v);
+ Py_CLEAR(p->__pyx_v_assignment);
+ Py_CLEAR(p->__pyx_v_domains);
#if CYTHON_USE_FREELISTS
- if (((int)(__pyx_freecount_10constraint_7solvers___pyx_scope_struct_4_genexpr < 8) & (int)(Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_genexpr)))) {
- __pyx_freelist_10constraint_7solvers___pyx_scope_struct_4_genexpr[__pyx_freecount_10constraint_7solvers___pyx_scope_struct_4_genexpr++] = ((struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_genexpr *)o);
+ if (((int)(__pyx_freecount_10constraint_7solvers___pyx_scope_struct_4_is_valid < 8) & (int)(Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid)))) {
+ __pyx_freelist_10constraint_7solvers___pyx_scope_struct_4_is_valid[__pyx_freecount_10constraint_7solvers___pyx_scope_struct_4_is_valid++] = ((struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid *)o);
} else
#endif
{
@@ -21004,42 +21020,52 @@ static void __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_4_genexpr(
}
}
-static int __pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_4_genexpr(PyObject *o, visitproc v, void *a) {
+static int __pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_4_is_valid(PyObject *o, visitproc v, void *a) {
int e;
- struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_genexpr *p = (struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_genexpr *)o;
- if (p->__pyx_outer_scope) {
- e = (*v)(((PyObject *)p->__pyx_outer_scope), a); if (e) return e;
- }
- if (p->__pyx_genexpr_arg_0) {
- e = (*v)(p->__pyx_genexpr_arg_0, a); if (e) return e;
+ struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid *p = (struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid *)o;
+ if (p->__pyx_v_assignment) {
+ e = (*v)(p->__pyx_v_assignment, a); if (e) return e;
}
- if (p->__pyx_v_v) {
- e = (*v)(p->__pyx_v_v, a); if (e) return e;
+ if (p->__pyx_v_domains) {
+ e = (*v)(p->__pyx_v_domains, a); if (e) return e;
}
return 0;
}
+
+static int __pyx_tp_clear_10constraint_7solvers___pyx_scope_struct_4_is_valid(PyObject *o) {
+ PyObject* tmp;
+ struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid *p = (struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid *)o;
+ tmp = ((PyObject*)p->__pyx_v_assignment);
+ p->__pyx_v_assignment = ((PyObject*)Py_None); Py_INCREF(Py_None);
+ Py_XDECREF(tmp);
+ tmp = ((PyObject*)p->__pyx_v_domains);
+ p->__pyx_v_domains = ((PyObject*)Py_None); Py_INCREF(Py_None);
+ Py_XDECREF(tmp);
+ return 0;
+}
#if CYTHON_USE_TYPE_SPECS
-static PyType_Slot __pyx_type_10constraint_7solvers___pyx_scope_struct_4_genexpr_slots[] = {
- {Py_tp_dealloc, (void *)__pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_4_genexpr},
- {Py_tp_traverse, (void *)__pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_4_genexpr},
- {Py_tp_new, (void *)__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_4_genexpr},
+static PyType_Slot __pyx_type_10constraint_7solvers___pyx_scope_struct_4_is_valid_slots[] = {
+ {Py_tp_dealloc, (void *)__pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_4_is_valid},
+ {Py_tp_traverse, (void *)__pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_4_is_valid},
+ {Py_tp_clear, (void *)__pyx_tp_clear_10constraint_7solvers___pyx_scope_struct_4_is_valid},
+ {Py_tp_new, (void *)__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_4_is_valid},
{0, 0},
};
-static PyType_Spec __pyx_type_10constraint_7solvers___pyx_scope_struct_4_genexpr_spec = {
- "constraint.solvers.__pyx_scope_struct_4_genexpr",
- sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_genexpr),
+static PyType_Spec __pyx_type_10constraint_7solvers___pyx_scope_struct_4_is_valid_spec = {
+ "constraint.solvers.__pyx_scope_struct_4_is_valid",
+ sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid),
0,
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC|Py_TPFLAGS_HAVE_FINALIZE,
- __pyx_type_10constraint_7solvers___pyx_scope_struct_4_genexpr_slots,
+ __pyx_type_10constraint_7solvers___pyx_scope_struct_4_is_valid_slots,
};
#else
-static PyTypeObject __pyx_type_10constraint_7solvers___pyx_scope_struct_4_genexpr = {
+static PyTypeObject __pyx_type_10constraint_7solvers___pyx_scope_struct_4_is_valid = {
PyVarObject_HEAD_INIT(0, 0)
- "constraint.solvers.""__pyx_scope_struct_4_genexpr", /*tp_name*/
- sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_genexpr), /*tp_basicsize*/
+ "constraint.solvers.""__pyx_scope_struct_4_is_valid", /*tp_name*/
+ sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_4_is_valid), /*tp_basicsize*/
0, /*tp_itemsize*/
- __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_4_genexpr, /*tp_dealloc*/
+ __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_4_is_valid, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
@@ -21066,8 +21092,8 @@ static PyTypeObject __pyx_type_10constraint_7solvers___pyx_scope_struct_4_genexp
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC|Py_TPFLAGS_HAVE_FINALIZE, /*tp_flags*/
0, /*tp_doc*/
- __pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_4_genexpr, /*tp_traverse*/
- 0, /*tp_clear*/
+ __pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_4_is_valid, /*tp_traverse*/
+ __pyx_tp_clear_10constraint_7solvers___pyx_scope_struct_4_is_valid, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
@@ -21084,7 +21110,7 @@ static PyTypeObject __pyx_type_10constraint_7solvers___pyx_scope_struct_4_genexp
#endif
0, /*tp_init*/
0, /*tp_alloc*/
- __pyx_tp_new_10constraint_7solvers___pyx_scope_struct_4_genexpr, /*tp_new*/
+ __pyx_tp_new_10constraint_7solvers___pyx_scope_struct_4_is_valid, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
@@ -21120,20 +21146,20 @@ static PyTypeObject __pyx_type_10constraint_7solvers___pyx_scope_struct_4_genexp
#endif
#if CYTHON_USE_FREELISTS
-static struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList *__pyx_freelist_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList[8];
-static int __pyx_freecount_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList = 0;
+static struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_genexpr *__pyx_freelist_10constraint_7solvers___pyx_scope_struct_5_genexpr[8];
+static int __pyx_freecount_10constraint_7solvers___pyx_scope_struct_5_genexpr = 0;
#endif
-static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
+static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_5_genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
PyObject *o;
#if CYTHON_COMPILING_IN_LIMITED_API
allocfunc alloc_func = (allocfunc)PyType_GetSlot(t, Py_tp_alloc);
o = alloc_func(t, 0);
#else
#if CYTHON_USE_FREELISTS
- if (likely((int)(__pyx_freecount_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList > 0) & (int)(t->tp_basicsize == sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList)))) {
- o = (PyObject*)__pyx_freelist_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList[--__pyx_freecount_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList];
- memset(o, 0, sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList));
+ if (likely((int)(__pyx_freecount_10constraint_7solvers___pyx_scope_struct_5_genexpr > 0) & (int)(t->tp_basicsize == sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_genexpr)))) {
+ o = (PyObject*)__pyx_freelist_10constraint_7solvers___pyx_scope_struct_5_genexpr[--__pyx_freecount_10constraint_7solvers___pyx_scope_struct_5_genexpr];
+ memset(o, 0, sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_genexpr));
(void) PyObject_INIT(o, t);
PyObject_GC_Track(o);
} else
@@ -21146,24 +21172,24 @@ static PyObject *__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_5_getSolu
return o;
}
-static void __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList(PyObject *o) {
- struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList *p = (struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList *)o;
+static void __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_5_genexpr(PyObject *o) {
+ struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_genexpr *p = (struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_genexpr *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely((PY_VERSION_HEX >= 0x03080000 || __Pyx_PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE)) && __Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && !__Pyx_PyObject_GC_IsFinalized(o)) {
- if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList) {
+ if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_5_genexpr) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
}
#endif
PyObject_GC_UnTrack(o);
- Py_CLEAR(p->__pyx_v_constraint_lookup);
- Py_CLEAR(p->__pyx_v_domains);
- Py_CLEAR(p->__pyx_v_first_var);
- Py_CLEAR(p->__pyx_v_remaining_vars);
- Py_CLEAR(p->__pyx_v_self);
+ Py_CLEAR(p->__pyx_outer_scope);
+ Py_CLEAR(p->__pyx_genexpr_arg_0);
+ Py_CLEAR(p->__pyx_v_constraint);
+ Py_CLEAR(p->__pyx_v_genexpr);
+ Py_CLEAR(p->__pyx_v_vars_involved);
#if CYTHON_USE_FREELISTS
- if (((int)(__pyx_freecount_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList < 8) & (int)(Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList)))) {
- __pyx_freelist_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList[__pyx_freecount_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList++] = ((struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList *)o);
+ if (((int)(__pyx_freecount_10constraint_7solvers___pyx_scope_struct_5_genexpr < 8) & (int)(Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_genexpr)))) {
+ __pyx_freelist_10constraint_7solvers___pyx_scope_struct_5_genexpr[__pyx_freecount_10constraint_7solvers___pyx_scope_struct_5_genexpr++] = ((struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_genexpr *)o);
} else
#endif
{
@@ -21178,70 +21204,48 @@ static void __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_5_getSolut
}
}
-static int __pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList(PyObject *o, visitproc v, void *a) {
+static int __pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_5_genexpr(PyObject *o, visitproc v, void *a) {
int e;
- struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList *p = (struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList *)o;
- if (p->__pyx_v_constraint_lookup) {
- e = (*v)(p->__pyx_v_constraint_lookup, a); if (e) return e;
+ struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_genexpr *p = (struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_genexpr *)o;
+ if (p->__pyx_outer_scope) {
+ e = (*v)(((PyObject *)p->__pyx_outer_scope), a); if (e) return e;
}
- if (p->__pyx_v_domains) {
- e = (*v)(p->__pyx_v_domains, a); if (e) return e;
+ if (p->__pyx_genexpr_arg_0) {
+ e = (*v)(p->__pyx_genexpr_arg_0, a); if (e) return e;
}
- if (p->__pyx_v_first_var) {
- e = (*v)(p->__pyx_v_first_var, a); if (e) return e;
+ if (p->__pyx_v_constraint) {
+ e = (*v)(p->__pyx_v_constraint, a); if (e) return e;
}
- if (p->__pyx_v_remaining_vars) {
- e = (*v)(p->__pyx_v_remaining_vars, a); if (e) return e;
+ if (p->__pyx_v_genexpr) {
+ e = (*v)(p->__pyx_v_genexpr, a); if (e) return e;
}
- if (p->__pyx_v_self) {
- e = (*v)(p->__pyx_v_self, a); if (e) return e;
+ if (p->__pyx_v_vars_involved) {
+ e = (*v)(p->__pyx_v_vars_involved, a); if (e) return e;
}
return 0;
}
-
-static int __pyx_tp_clear_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList(PyObject *o) {
- PyObject* tmp;
- struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList *p = (struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList *)o;
- tmp = ((PyObject*)p->__pyx_v_constraint_lookup);
- p->__pyx_v_constraint_lookup = ((PyObject*)Py_None); Py_INCREF(Py_None);
- Py_XDECREF(tmp);
- tmp = ((PyObject*)p->__pyx_v_domains);
- p->__pyx_v_domains = ((PyObject*)Py_None); Py_INCREF(Py_None);
- Py_XDECREF(tmp);
- tmp = ((PyObject*)p->__pyx_v_first_var);
- p->__pyx_v_first_var = Py_None; Py_INCREF(Py_None);
- Py_XDECREF(tmp);
- tmp = ((PyObject*)p->__pyx_v_remaining_vars);
- p->__pyx_v_remaining_vars = ((PyObject*)Py_None); Py_INCREF(Py_None);
- Py_XDECREF(tmp);
- tmp = ((PyObject*)p->__pyx_v_self);
- p->__pyx_v_self = Py_None; Py_INCREF(Py_None);
- Py_XDECREF(tmp);
- return 0;
-}
#if CYTHON_USE_TYPE_SPECS
-static PyType_Slot __pyx_type_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList_slots[] = {
- {Py_tp_dealloc, (void *)__pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList},
- {Py_tp_traverse, (void *)__pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList},
- {Py_tp_clear, (void *)__pyx_tp_clear_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList},
- {Py_tp_new, (void *)__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList},
+static PyType_Slot __pyx_type_10constraint_7solvers___pyx_scope_struct_5_genexpr_slots[] = {
+ {Py_tp_dealloc, (void *)__pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_5_genexpr},
+ {Py_tp_traverse, (void *)__pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_5_genexpr},
+ {Py_tp_new, (void *)__pyx_tp_new_10constraint_7solvers___pyx_scope_struct_5_genexpr},
{0, 0},
};
-static PyType_Spec __pyx_type_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList_spec = {
- "constraint.solvers.__pyx_scope_struct_5_getSolutionsList",
- sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList),
+static PyType_Spec __pyx_type_10constraint_7solvers___pyx_scope_struct_5_genexpr_spec = {
+ "constraint.solvers.__pyx_scope_struct_5_genexpr",
+ sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_genexpr),
0,
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC|Py_TPFLAGS_HAVE_FINALIZE,
- __pyx_type_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList_slots,
+ __pyx_type_10constraint_7solvers___pyx_scope_struct_5_genexpr_slots,
};
#else
-static PyTypeObject __pyx_type_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList = {
+static PyTypeObject __pyx_type_10constraint_7solvers___pyx_scope_struct_5_genexpr = {
PyVarObject_HEAD_INIT(0, 0)
- "constraint.solvers.""__pyx_scope_struct_5_getSolutionsList", /*tp_name*/
- sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList), /*tp_basicsize*/
+ "constraint.solvers.""__pyx_scope_struct_5_genexpr", /*tp_name*/
+ sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_5_genexpr), /*tp_basicsize*/
0, /*tp_itemsize*/
- __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList, /*tp_dealloc*/
+ __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_5_genexpr, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
@@ -21268,8 +21272,8 @@ static PyTypeObject __pyx_type_10constraint_7solvers___pyx_scope_struct_5_getSol
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC|Py_TPFLAGS_HAVE_FINALIZE, /*tp_flags*/
0, /*tp_doc*/
- __pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList, /*tp_traverse*/
- __pyx_tp_clear_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList, /*tp_clear*/
+ __pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_5_genexpr, /*tp_traverse*/
+ 0, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
@@ -21286,7 +21290,7 @@ static PyTypeObject __pyx_type_10constraint_7solvers___pyx_scope_struct_5_getSol
#endif
0, /*tp_init*/
0, /*tp_alloc*/
- __pyx_tp_new_10constraint_7solvers___pyx_scope_struct_5_getSolutionsList, /*tp_new*/
+ __pyx_tp_new_10constraint_7solvers___pyx_scope_struct_5_genexpr, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
@@ -21360,8 +21364,7 @@ static void __pyx_tp_dealloc_10constraint_7solvers___pyx_scope_struct_6_genexpr(
PyObject_GC_UnTrack(o);
Py_CLEAR(p->__pyx_outer_scope);
Py_CLEAR(p->__pyx_genexpr_arg_0);
- Py_CLEAR(p->__pyx_v_val);
- Py_CLEAR(p->__pyx_t_0);
+ Py_CLEAR(p->__pyx_v_v);
#if CYTHON_USE_FREELISTS
if (((int)(__pyx_freecount_10constraint_7solvers___pyx_scope_struct_6_genexpr < 8) & (int)(Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_6_genexpr)))) {
__pyx_freelist_10constraint_7solvers___pyx_scope_struct_6_genexpr[__pyx_freecount_10constraint_7solvers___pyx_scope_struct_6_genexpr++] = ((struct __pyx_obj_10constraint_7solvers___pyx_scope_struct_6_genexpr *)o);
@@ -21388,11 +21391,8 @@ static int __pyx_tp_traverse_10constraint_7solvers___pyx_scope_struct_6_genexpr(
if (p->__pyx_genexpr_arg_0) {
e = (*v)(p->__pyx_genexpr_arg_0, a); if (e) return e;
}
- if (p->__pyx_v_val) {
- e = (*v)(p->__pyx_v_val, a); if (e) return e;
- }
- if (p->__pyx_t_0) {
- e = (*v)(p->__pyx_t_0, a); if (e) return e;
+ if (p->__pyx_v_v) {
+ e = (*v)(p->__pyx_v_v, a); if (e) return e;
}
return 0;
}
@@ -21735,9 +21735,9 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedBuiltins(void) {
__pyx_builtin_RuntimeError = __Pyx_GetBuiltinName(__pyx_n_s_RuntimeError); if (!__pyx_builtin_RuntimeError) __PYX_ERR(0, 221, __pyx_L1_error)
__pyx_builtin_StopIteration = __Pyx_GetBuiltinName(__pyx_n_s_StopIteration); if (!__pyx_builtin_StopIteration) __PYX_ERR(0, 227, __pyx_L1_error)
__pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_range) __PYX_ERR(0, 573, __pyx_L1_error)
- __pyx_builtin_compile = __Pyx_GetBuiltinName(__pyx_n_s_compile); if (!__pyx_builtin_compile) __PYX_ERR(0, 620, __pyx_L1_error)
- __pyx_builtin_super = __Pyx_GetBuiltinName(__pyx_n_s_super); if (!__pyx_builtin_super) __PYX_ERR(0, 744, __pyx_L1_error)
- __pyx_builtin_sorted = __Pyx_GetBuiltinName(__pyx_n_s_sorted); if (!__pyx_builtin_sorted) __PYX_ERR(0, 766, __pyx_L1_error)
+ __pyx_builtin_super = __Pyx_GetBuiltinName(__pyx_n_s_super); if (!__pyx_builtin_super) __PYX_ERR(0, 646, __pyx_L1_error)
+ __pyx_builtin_sorted = __Pyx_GetBuiltinName(__pyx_n_s_sorted); if (!__pyx_builtin_sorted) __PYX_ERR(0, 668, __pyx_L1_error)
+ __pyx_builtin_compile = __Pyx_GetBuiltinName(__pyx_n_s_compile); if (!__pyx_builtin_compile) __PYX_ERR(0, 704, __pyx_L1_error)
return 0;
__pyx_L1_error:;
return -1;
@@ -21770,14 +21770,14 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) {
__Pyx_GOTREF(__pyx_tuple__3);
__Pyx_GIVEREF(__pyx_tuple__3);
- /* "constraint/solvers.py":778
+ /* "constraint/solvers.py":680
* # execute in parallel
* parallel_pool = ProcessPoolExecutor if self._process_mode else ThreadPoolExecutor
* with parallel_pool() as executor: # <<<<<<<<<<<<<<
* # results = map(parallel_worker, args) # sequential
* results = executor.map(parallel_worker, args, chunksize=1) # parallel
*/
- __pyx_tuple__5 = PyTuple_Pack(3, Py_None, Py_None, Py_None); if (unlikely(!__pyx_tuple__5)) __PYX_ERR(0, 778, __pyx_L1_error)
+ __pyx_tuple__5 = PyTuple_Pack(3, Py_None, Py_None, Py_None); if (unlikely(!__pyx_tuple__5)) __PYX_ERR(0, 680, __pyx_L1_error)
__Pyx_GOTREF(__pyx_tuple__5);
__Pyx_GIVEREF(__pyx_tuple__5);
@@ -22018,110 +22018,110 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) {
__Pyx_GIVEREF(__pyx_tuple__42);
__pyx_codeobj__43 = (PyObject*)__Pyx_PyCode_New(4, 0, 0, 17, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__42, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_constraint_solvers_py, __pyx_n_s_getSolution, 566, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__43)) __PYX_ERR(0, 566, __pyx_L1_error)
- /* "constraint/solvers.py":609
+ /* "constraint/solvers.py":644
+ * """ # noqa E501
+ *
+ * def __init__(self, process_mode=False): # <<<<<<<<<<<<<<
+ * """Initialization method. Set `process_mode` to True for using ProcessPool, otherwise uses ThreadPool."""
+ * super().__init__()
+ */
+ __pyx_tuple__44 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_process_mode); if (unlikely(!__pyx_tuple__44)) __PYX_ERR(0, 644, __pyx_L1_error)
+ __Pyx_GOTREF(__pyx_tuple__44);
+ __Pyx_GIVEREF(__pyx_tuple__44);
+ __pyx_codeobj__45 = (PyObject*)__Pyx_PyCode_New(2, 0, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__44, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_constraint_solvers_py, __pyx_n_s_init, 644, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__45)) __PYX_ERR(0, 644, __pyx_L1_error)
+ __pyx_tuple__46 = PyTuple_Pack(1, ((PyObject *)Py_False)); if (unlikely(!__pyx_tuple__46)) __PYX_ERR(0, 644, __pyx_L1_error)
+ __Pyx_GOTREF(__pyx_tuple__46);
+ __Pyx_GIVEREF(__pyx_tuple__46);
+
+ /* "constraint/solvers.py":650
+ * self.requires_pickling = process_mode
+ *
+ * def getSolution(self, domains: dict, constraints: list[tuple], vconstraints: dict): # <<<<<<<<<<<<<<
+ * """Return one solution for the given problem.
+ *
+ */
+ __pyx_codeobj__47 = (PyObject*)__Pyx_PyCode_New(4, 0, 0, 5, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__13, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_constraint_solvers_py, __pyx_n_s_getSolution, 650, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__47)) __PYX_ERR(0, 650, __pyx_L1_error)
+
+ /* "constraint/solvers.py":662
+ * raise NotImplementedError(msg)
+ *
+ * def getSolutionsList(self, domains: dict[Hashable, Domain], vconstraints: dict[Hashable, list[tuple[Constraint, Hashable]]]) -> list[dict[Hashable, any]]: # noqa: D102, E501 # <<<<<<<<<<<<<<
+ * """Parallelized all-solutions finder using ProcessPoolExecutor for work-stealing."""
+ * # Precompute constraints lookup per variable
+ */
+ __pyx_tuple__48 = PyTuple_Pack(16, __pyx_n_s_self, __pyx_n_s_domains, __pyx_n_s_vconstraints, __pyx_n_s_constraint_lookup, __pyx_n_s_sorted_vars, __pyx_n_s_first_var, __pyx_n_s_remaining_vars, __pyx_n_s_args, __pyx_n_s_solutions, __pyx_n_s_parallel_pool, __pyx_n_s_executor, __pyx_n_s_results, __pyx_n_s_result, __pyx_n_s_var, __pyx_n_s_genexpr, __pyx_n_s_genexpr); if (unlikely(!__pyx_tuple__48)) __PYX_ERR(0, 662, __pyx_L1_error)
+ __Pyx_GOTREF(__pyx_tuple__48);
+ __Pyx_GIVEREF(__pyx_tuple__48);
+ __pyx_codeobj__49 = (PyObject*)__Pyx_PyCode_New(3, 0, 0, 16, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__48, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_constraint_solvers_py, __pyx_n_s_getSolutionsList, 662, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__49)) __PYX_ERR(0, 662, __pyx_L1_error)
+
+ /* "constraint/solvers.py":688
+ * return solutions
+ *
+ * def getSolutions(self, domains: dict, constraints: list[tuple], vconstraints: dict): # noqa: D102 # <<<<<<<<<<<<<<
+ * return self.getSolutionsList(domains, vconstraints)
+ *
+ */
+ __pyx_codeobj__50 = (PyObject*)__Pyx_PyCode_New(4, 0, 0, 4, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__23, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_constraint_solvers_py, __pyx_n_s_getSolutions, 688, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__50)) __PYX_ERR(0, 688, __pyx_L1_error)
+
+ /* "constraint/solvers.py":693
* ### Helper functions for parallel solver
*
* def is_valid(assignment: dict[Hashable, any], constraints_lookup: list[tuple[Constraint, Hashable]], domains: dict[Hashable, Domain]) -> bool: # noqa E501 # <<<<<<<<<<<<<<
* """Check if all constraints are satisfied given the current assignment."""
* return all(
*/
- __pyx_tuple__44 = PyTuple_Pack(5, __pyx_n_s_assignment, __pyx_n_s_constraints_lookup, __pyx_n_s_domains, __pyx_n_s_genexpr, __pyx_n_s_genexpr); if (unlikely(!__pyx_tuple__44)) __PYX_ERR(0, 609, __pyx_L1_error)
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+
+ /* "constraint/solvers.py":724
+ * return solutions
+ *
+ * def sequential_optimized_backtrack(assignment: dict[Hashable, any], unassigned_vars: list[Hashable], domains: dict[Hashable, Domain], constraint_lookup: dict[Hashable, list[tuple[Constraint, Hashable]]]) -> list[dict[Hashable, any]]: # noqa E501 # <<<<<<<<<<<<<<
+ * """Sequential optimized backtracking (as in OptimizedBacktrackingSolver) function for subproblems."""
+ * # Does not do forwardcheck for simplicity
+ */
+ __pyx_t_5 = __Pyx_PyDict_NewPresized(5); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 724, __pyx_L1_error)
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+ __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
+
+ /* "constraint/solvers.py":774
+ *
+ *
+ * def parallel_worker(args: tuple[bool, dict[Hashable, Domain], dict[Hashable, list[tuple[Constraint, Hashable]]], Hashable, any, list[Hashable]]) -> list[dict[Hashable, any]]: # noqa E501 # <<<<<<<<<<<<<<
+ * """Worker function for parallel execution on first variable."""
+ * process_mode, domains, constraint_lookup, first_var, first_value, remaining_vars = args
+ */
+ __pyx_t_3 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 774, __pyx_L1_error)
+ __Pyx_GOTREF(__pyx_t_3);
+ if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_args, __pyx_kp_s_tuple_bool_dict_Hashable_Domain) < 0) __PYX_ERR(0, 774, __pyx_L1_error)
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+ __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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/* "constraint/solvers.py":1
* """Module containing the code for the problem solvers.""" # <<<<<<<<<<<<<<
*
* import random
*/
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- __Pyx_GOTREF(__pyx_t_4);
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- __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
+ __pyx_t_5 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1, __pyx_L1_error)
+ __Pyx_GOTREF(__pyx_t_5);
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+ __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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@@ -26180,77 +26180,14 @@ static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval,
return -1;
}
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static CYTHON_INLINE void __Pyx_RaiseClosureNameError(const char *varname) {
PyErr_Format(PyExc_NameError, "free variable '%s' referenced before assignment in enclosing scope", varname);
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- static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {
-#if CYTHON_USE_TYPE_SLOTS
-#if PY_MAJOR_VERSION >= 3
- if (likely(PyUnicode_Check(n)))
-#else
- if (likely(PyString_Check(n)))
-#endif
- return __Pyx_PyObject_GetAttrStr(o, n);
-#endif
- return PyObject_GetAttr(o, n);
-}
-
-/* Globals */
- static PyObject* __Pyx_Globals(void) {
- return __Pyx_NewRef(__pyx_d);
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-
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- if (stop < 0)
- stop += length;
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- *_length = stop - start;
- *_start = start;
- *_stop = stop;
-}
-static CYTHON_INLINE PyObject* __Pyx_PyList_GetSlice(
- PyObject* src, Py_ssize_t start, Py_ssize_t stop) {
- Py_ssize_t length = PyList_GET_SIZE(src);
- __Pyx_crop_slice(&start, &stop, &length);
- if (length <= 0) {
- return PyList_New(0);
- }
- return __Pyx_PyList_FromArray(((PyListObject*)src)->ob_item + start, length);
-}
-static CYTHON_INLINE PyObject* __Pyx_PyTuple_GetSlice(
- PyObject* src, Py_ssize_t start, Py_ssize_t stop) {
- Py_ssize_t length = PyTuple_GET_SIZE(src);
- __Pyx_crop_slice(&start, &stop, &length);
- return __Pyx_PyTuple_FromArray(((PyTupleObject*)src)->ob_item + start, length);
-}
-#endif
-
-/* RaiseUnexpectedTypeError */
- static int
-__Pyx_RaiseUnexpectedTypeError(const char *expected, PyObject *obj)
-{
- __Pyx_TypeName obj_type_name = __Pyx_PyType_GetName(Py_TYPE(obj));
- PyErr_Format(PyExc_TypeError, "Expected %s, got " __Pyx_FMT_TYPENAME,
- expected, obj_type_name);
- __Pyx_DECREF_TypeName(obj_type_name);
- return 0;
+/* RaiseUnboundLocalError */
+ static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
+ PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
}
/* CallUnboundCMethod1 */
@@ -27588,6 +27525,51 @@ static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, Py
return op;
}
+/* RaiseUnexpectedTypeError */
+ static int
+__Pyx_RaiseUnexpectedTypeError(const char *expected, PyObject *obj)
+{
+ __Pyx_TypeName obj_type_name = __Pyx_PyType_GetName(Py_TYPE(obj));
+ PyErr_Format(PyExc_TypeError, "Expected %s, got " __Pyx_FMT_TYPENAME,
+ expected, obj_type_name);
+ __Pyx_DECREF_TypeName(obj_type_name);
+ return 0;
+}
+
+/* SliceTupleAndList */
+ #if CYTHON_COMPILING_IN_CPYTHON
+static CYTHON_INLINE void __Pyx_crop_slice(Py_ssize_t* _start, Py_ssize_t* _stop, Py_ssize_t* _length) {
+ Py_ssize_t start = *_start, stop = *_stop, length = *_length;
+ if (start < 0) {
+ start += length;
+ if (start < 0)
+ start = 0;
+ }
+ if (stop < 0)
+ stop += length;
+ else if (stop > length)
+ stop = length;
+ *_length = stop - start;
+ *_start = start;
+ *_stop = stop;
+}
+static CYTHON_INLINE PyObject* __Pyx_PyList_GetSlice(
+ PyObject* src, Py_ssize_t start, Py_ssize_t stop) {
+ Py_ssize_t length = PyList_GET_SIZE(src);
+ __Pyx_crop_slice(&start, &stop, &length);
+ if (length <= 0) {
+ return PyList_New(0);
+ }
+ return __Pyx_PyList_FromArray(((PyListObject*)src)->ob_item + start, length);
+}
+static CYTHON_INLINE PyObject* __Pyx_PyTuple_GetSlice(
+ PyObject* src, Py_ssize_t start, Py_ssize_t stop) {
+ Py_ssize_t length = PyTuple_GET_SIZE(src);
+ __Pyx_crop_slice(&start, &stop, &length);
+ return __Pyx_PyTuple_FromArray(((PyTupleObject*)src)->ob_item + start, length);
+}
+#endif
+
/* PyObjectLookupSpecial */
#if CYTHON_USE_PYTYPE_LOOKUP && CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx__PyObject_LookupSpecial(PyObject* obj, PyObject* attr_name, int with_error) {
@@ -27612,6 +27594,24 @@ static CYTHON_INLINE PyObject* __Pyx__PyObject_LookupSpecial(PyObject* obj, PyOb
}
#endif
+/* GetAttr */
+ static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {
+#if CYTHON_USE_TYPE_SLOTS
+#if PY_MAJOR_VERSION >= 3
+ if (likely(PyUnicode_Check(n)))
+#else
+ if (likely(PyString_Check(n)))
+#endif
+ return __Pyx_PyObject_GetAttrStr(o, n);
+#endif
+ return PyObject_GetAttr(o, n);
+}
+
+/* Globals */
+ static PyObject* __Pyx_Globals(void) {
+ return __Pyx_NewRef(__pyx_d);
+}
+
/* ValidateBasesTuple */
#if CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_LIMITED_API || CYTHON_USE_TYPE_SPECS
static int __Pyx_validate_bases_tuple(const char *type_name, Py_ssize_t dictoffset, PyObject *bases) {
diff --git a/constraint/solvers.py b/constraint/solvers.py
index 2f6916d..6a7b6ae 100644
--- a/constraint/solvers.py
+++ b/constraint/solvers.py
@@ -602,7 +602,91 @@ def getSolution(self, domains: dict, constraints: list[tuple], vconstraints: dic
if not conflicted:
return assignments
return None
+
+
+class ParallelSolver(Solver):
+ """Problem solver that executes all-solution solve in parallel (ProcessPool or ThreadPool mode).
+
+ Sorts the domains on size, creating jobs for each value in the domain with the most variables.
+ Each leaf job is solved locally with either optimized backtracking or recursion.
+ Whether this is actually faster than non-parallel solving depends on your problem, and hardware and software environment.
+
+ Uses ThreadPool by default. Instantiate with process_mode=True to use ProcessPool.
+ In ProcessPool mode, the jobs do not share memory.
+ In ProcessPool mode, precompiled FunctionConstraints are not allowed due to pickling, use string constraints instead.
+
+ Examples:
+ >>> result = [[('a', 1), ('b', 2)],
+ ... [('a', 1), ('b', 3)],
+ ... [('a', 2), ('b', 3)]]
+
+ >>> problem = Problem(ParallelSolver())
+ >>> problem.addVariables(["a", "b"], [1, 2, 3])
+ >>> problem.addConstraint("b > a", ["a", "b"])
+
+ >>> for solution in problem.getSolutions():
+ ... sorted(solution.items()) in result
+ True
+ True
+ True
+
+ >>> problem.getSolution()
+ Traceback (most recent call last):
+ ...
+ NotImplementedError: ParallelSolver only provides all solutions
+
+ >>> problem.getSolutionIter()
+ Traceback (most recent call last):
+ ...
+ NotImplementedError: ParallelSolver doesn't provide iteration
+ """ # noqa E501
+
+ def __init__(self, process_mode=False):
+ """Initialization method. Set `process_mode` to True for using ProcessPool, otherwise uses ThreadPool."""
+ super().__init__()
+ self._process_mode = process_mode
+ self.requires_pickling = process_mode
+
+ def getSolution(self, domains: dict, constraints: list[tuple], vconstraints: dict):
+ """Return one solution for the given problem.
+
+ Args:
+ domains (dict): Dictionary mapping variables to their domains
+ constraints (list): List of pairs of (constraint, variables)
+ vconstraints (dict): Dictionary mapping variables to a list
+ of constraints affecting the given variables.
+ """
+ msg = f"{self.__class__.__name__} only provides all solutions"
+ raise NotImplementedError(msg)
+
+ def getSolutionsList(self, domains: dict[Hashable, Domain], vconstraints: dict[Hashable, list[tuple[Constraint, Hashable]]]) -> list[dict[Hashable, any]]: # noqa: D102, E501
+ """Parallelized all-solutions finder using ProcessPoolExecutor for work-stealing."""
+ # Precompute constraints lookup per variable
+ constraint_lookup: dict[Hashable, list[tuple[Constraint, Hashable]]] = {var: vconstraints.get(var, []) for var in domains} # noqa: E501
+ # Sort variables by domain size (heuristic)
+ sorted_vars: list[Hashable] = sorted(domains.keys(), key=lambda v: len(domains[v]))
+
+ # Split parallel and sequential parts
+ first_var = sorted_vars[0]
+ remaining_vars = sorted_vars[1:]
+
+ # Create the parallel function arguments and solutions lists
+ args = ((self.requires_pickling, domains, constraint_lookup, first_var, val, remaining_vars.copy()) for val in domains[first_var]) # noqa: E501
+ solutions: list[dict[Hashable, any]] = []
+
+ # execute in parallel
+ parallel_pool = ProcessPoolExecutor if self._process_mode else ThreadPoolExecutor
+ with parallel_pool() as executor:
+ # results = map(parallel_worker, args) # sequential
+ results = executor.map(parallel_worker, args, chunksize=1) # parallel
+ for result in results:
+ solutions.extend(result)
+
+ return solutions
+
+ def getSolutions(self, domains: dict, constraints: list[tuple], vconstraints: dict): # noqa: D102
+ return self.getSolutionsList(domains, vconstraints)
### Helper functions for parallel solver
@@ -701,88 +785,4 @@ def parallel_worker(args: tuple[bool, dict[Hashable, Domain], dict[Hashable, lis
if is_valid(local_assignment, constraint_lookup[first_var], domains):
return sequential_optimized_backtrack(local_assignment, remaining_vars, domains, constraint_lookup)
return []
-
-class ParallelSolver(Solver):
- """Problem solver that executes all-solution solve in parallel (ProcessPool or ThreadPool mode).
-
- Sorts the domains on size, creating jobs for each value in the domain with the most variables.
- Each leaf job is solved locally with either optimized backtracking or recursion.
- Whether this is actually faster than non-parallel solving depends on your problem, and hardware and software environment.
-
- Uses ThreadPool by default. Instantiate with process_mode=True to use ProcessPool.
- In ProcessPool mode, the jobs do not share memory.
- In ProcessPool mode, precompiled FunctionConstraints are not allowed due to pickling, use string constraints instead.
-
- Examples:
- >>> result = [[('a', 1), ('b', 2)],
- ... [('a', 1), ('b', 3)],
- ... [('a', 2), ('b', 3)]]
-
- >>> problem = Problem(ParallelSolver())
- >>> problem.addVariables(["a", "b"], [1, 2, 3])
- >>> problem.addConstraint("b > a", ["a", "b"])
-
- >>> for solution in problem.getSolutions():
- ... sorted(solution.items()) in result
- True
- True
- True
-
- >>> problem.getSolution()
- Traceback (most recent call last):
- ...
- NotImplementedError: ParallelSolver only provides all solutions
-
- >>> problem.getSolutionIter()
- Traceback (most recent call last):
- ...
- NotImplementedError: ParallelSolver doesn't provide iteration
- """ # noqa E501
-
- def __init__(self, process_mode=False):
- """Initialization method. Set `process_mode` to True for using ProcessPool, otherwise uses ThreadPool."""
- super().__init__()
- self._process_mode = process_mode
- self.requires_pickling = process_mode
-
- def getSolution(self, domains: dict, constraints: list[tuple], vconstraints: dict):
- """Return one solution for the given problem.
-
- Args:
- domains (dict): Dictionary mapping variables to their domains
- constraints (list): List of pairs of (constraint, variables)
- vconstraints (dict): Dictionary mapping variables to a list
- of constraints affecting the given variables.
- """
- msg = f"{self.__class__.__name__} only provides all solutions"
- raise NotImplementedError(msg)
-
- def getSolutionsList(self, domains: dict[Hashable, Domain], vconstraints: dict[Hashable, list[tuple[Constraint, Hashable]]]) -> list[dict[Hashable, any]]: # noqa: D102, E501
- """Parallelized all-solutions finder using ProcessPoolExecutor for work-stealing."""
- # Precompute constraints lookup per variable
- constraint_lookup: dict[Hashable, list[tuple[Constraint, Hashable]]] = {var: vconstraints.get(var, []) for var in domains} # noqa: E501
-
- # Sort variables by domain size (heuristic)
- sorted_vars: list[Hashable] = sorted(domains.keys(), key=lambda v: len(domains[v]))
-
- # Split parallel and sequential parts
- first_var = sorted_vars[0]
- remaining_vars = sorted_vars[1:]
-
- # Create the parallel function arguments and solutions lists
- args = ((self.requires_pickling, domains, constraint_lookup, first_var, val, remaining_vars.copy()) for val in domains[first_var]) # noqa: E501
- solutions: list[dict[Hashable, any]] = []
-
- # execute in parallel
- parallel_pool = ProcessPoolExecutor if self._process_mode else ThreadPoolExecutor
- with parallel_pool() as executor:
- # results = map(parallel_worker, args) # sequential
- results = executor.map(parallel_worker, args, chunksize=1) # parallel
- for result in results:
- solutions.extend(result)
-
- return solutions
-
- def getSolutions(self, domains: dict, constraints: list[tuple], vconstraints: dict): # noqa: D102
- return self.getSolutionsList(domains, vconstraints)
\ No newline at end of file
diff --git a/docs/benchmarks/.gitkeep b/docs/benchmarks/.gitkeep
new file mode 100644
index 0000000..e69de29
diff --git a/docs/conf.py b/docs/conf.py
index 788297c..aa47a4a 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -24,7 +24,7 @@
# import data from pyproject.toml using https://github.com/sphinx-toolbox/sphinx-pyproject
# additional data can be added with `[tool.sphinx-pyproject]` and retrieved with `config['']`.
-config = SphinxConfig("../pyproject.toml", style="poetry") # add `, globalns=globals()` to directly insert in namespace
+config = SphinxConfig("../pyproject.toml") # add `, globalns=globals()` to directly insert in namespace
year = time.strftime("%Y")
project = "python-constraint"
diff --git a/docs/requirements.txt b/docs/requirements.txt
index 8ce6cf6..687ef51 100644
--- a/docs/requirements.txt
+++ b/docs/requirements.txt
@@ -1,33 +1,33 @@
-alabaster==0.7.16 ; python_version >= "3.9" and python_version < "3.15"
-babel==2.17.0 ; python_version >= "3.9" and python_version < "3.15"
-certifi==2025.1.31 ; python_version >= "3.9" and python_version < "3.15"
-charset-normalizer==3.4.1 ; python_version >= "3.9" and python_version < "3.15"
-colorama==0.4.6 ; python_version >= "3.9" and python_version < "3.15" and sys_platform == "win32"
-docutils==0.18.1 ; python_version >= "3.9" and python_version < "3.15"
-dom-toml==2.0.1 ; python_version >= "3.9" and python_version < "3.15"
-domdf-python-tools==3.9.0 ; python_version >= "3.9" and python_version < "3.15"
-idna==3.10 ; python_version >= "3.9" and python_version < "3.15"
-imagesize==1.4.1 ; python_version >= "3.9" and python_version < "3.15"
+alabaster==0.7.16 ; python_version >= "3.9"
+babel==2.17.0 ; python_version >= "3.9"
+certifi==2025.1.31 ; python_version >= "3.9"
+charset-normalizer==3.4.1 ; python_version >= "3.9"
+colorama==0.4.6 ; python_version >= "3.9" and sys_platform == "win32"
+docutils==0.21.2 ; python_version >= "3.9"
+dom-toml==2.0.1 ; python_version >= "3.9"
+domdf-python-tools==3.10.0 ; python_version >= "3.9"
+idna==3.10 ; python_version >= "3.9"
+imagesize==1.4.1 ; python_version >= "3.9"
importlib-metadata==8.6.1 ; python_version >= "3.9" and python_version < "3.10"
-jinja2==3.1.5 ; python_version >= "3.9" and python_version < "3.15"
-markupsafe==3.0.2 ; python_version >= "3.9" and python_version < "3.15"
-natsort==8.4.0 ; python_version >= "3.9" and python_version < "3.15"
-packaging==24.2 ; python_version >= "3.9" and python_version < "3.15"
-pygments==2.19.1 ; python_version >= "3.9" and python_version < "3.15"
-requests==2.32.3 ; python_version >= "3.9" and python_version < "3.15"
-snowballstemmer==2.2.0 ; python_version >= "3.9" and python_version < "3.15"
-sphinx-autodoc-typehints==1.25.3 ; python_version >= "3.9" and python_version < "3.15"
-sphinx-pyproject==0.3.0 ; python_version >= "3.9" and python_version < "3.15"
-sphinx-rtd-theme==1.3.0 ; python_version >= "3.9" and python_version < "3.15"
-sphinx==7.3.7 ; python_version >= "3.9" and python_version < "3.15"
-sphinxcontrib-applehelp==2.0.0 ; python_version >= "3.9" and python_version < "3.15"
-sphinxcontrib-devhelp==2.0.0 ; python_version >= "3.9" and python_version < "3.15"
-sphinxcontrib-htmlhelp==2.1.0 ; python_version >= "3.9" and python_version < "3.15"
-sphinxcontrib-jquery==4.1 ; python_version >= "3.9" and python_version < "3.15"
-sphinxcontrib-jsmath==1.0.1 ; python_version >= "3.9" and python_version < "3.15"
-sphinxcontrib-qthelp==2.0.0 ; python_version >= "3.9" and python_version < "3.15"
-sphinxcontrib-serializinghtml==2.0.0 ; python_version >= "3.9" and python_version < "3.15"
-tomli==2.2.1 ; python_version >= "3.9" and python_version < "3.15"
-typing-extensions==4.12.2 ; python_version >= "3.9" and python_version < "3.15"
-urllib3==2.3.0 ; python_version >= "3.9" and python_version < "3.15"
+jinja2==3.1.5 ; python_version >= "3.9"
+markupsafe==3.0.2 ; python_version >= "3.9"
+natsort==8.4.0 ; python_version >= "3.9"
+packaging==24.2 ; python_version >= "3.9"
+pygments==2.19.1 ; python_version >= "3.9"
+requests==2.32.3 ; python_version >= "3.9"
+snowballstemmer==2.2.0 ; python_version >= "3.9"
+sphinx-autodoc-typehints==2.3.0 ; python_version >= "3.9"
+sphinx-pyproject==0.3.0 ; python_version >= "3.9"
+sphinx-rtd-theme==3.0.2 ; python_version >= "3.9"
+sphinx==7.4.7 ; python_version >= "3.9"
+sphinxcontrib-applehelp==2.0.0 ; python_version >= "3.9"
+sphinxcontrib-devhelp==2.0.0 ; python_version >= "3.9"
+sphinxcontrib-htmlhelp==2.1.0 ; python_version >= "3.9"
+sphinxcontrib-jquery==4.1 ; python_version >= "3.9"
+sphinxcontrib-jsmath==1.0.1 ; python_version >= "3.9"
+sphinxcontrib-qthelp==2.0.0 ; python_version >= "3.9"
+sphinxcontrib-serializinghtml==2.0.0 ; python_version >= "3.9"
+tomli==2.2.1 ; python_version >= "3.9"
+typing-extensions==4.12.2 ; python_version >= "3.9"
+urllib3==2.3.0 ; python_version >= "3.9"
zipp==3.21.0 ; python_version >= "3.9" and python_version < "3.10"
diff --git a/noxfile.py b/noxfile.py
index 0cab3a0..6faa52c 100644
--- a/noxfile.py
+++ b/noxfile.py
@@ -7,6 +7,7 @@
import nox
from nox import Session, session
+from pathlib import Path
# from nox_poetry import Session, session # nox_poetry is a better option, but <=1.0.3 has a bug with filename-URLs
@@ -21,6 +22,9 @@
nox.options.stop_on_first_error = True
nox.options.error_on_missing_interpreters = True
+# create the benchmark folder
+Path(".benchmarks").mkdir(exist_ok=True)
+
# Test code quality: linting
@session
@@ -35,13 +39,19 @@ def lint(session: Session) -> None:
# do not forget check / set the versions with `pyenv global`, or `pyenv local` in case of virtual environment
def tests(session: Session) -> None:
"""Run the tests for the specified Python versions."""
+ # get command line arguments
+ if session.posargs:
+ os_name = session.posargs[0]
+ else:
+ os_name = 'local'
+
# install the dev-dependencies and build the package
session.install("poetry")
session.run("poetry", "install", "--with", "dev,test", external=True)
# session.poetry.installroot(distribution_format="sdist")
# run pytest on the package with C-extensions, disable required coverage percentage
- session.run("pytest", "--no-cov")
+ session.run("pytest", "--no-cov", "--benchmark-json", f".benchmarks/benchmark_{os_name}_{session.python}.json")
# for the last Python version session:
if session.python == python_versions_to_test[-1]:
diff --git a/poetry.lock b/poetry.lock
index f4d5a42..bcd104c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
[[package]]
name = "alabaster"
@@ -6,6 +6,7 @@ version = "0.7.16"
description = "A light, configurable Sphinx theme"
optional = false
python-versions = ">=3.9"
+groups = ["docs"]
files = [
{file = "alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92"},
{file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"},
@@ -13,31 +14,53 @@ files = [
[[package]]
name = "argcomplete"
-version = "3.5.3"
+version = "3.6.1"
description = "Bash tab completion for argparse"
optional = false
python-versions = ">=3.8"
+groups = ["test"]
files = [
- {file = "argcomplete-3.5.3-py3-none-any.whl", hash = "sha256:2ab2c4a215c59fd6caaff41a869480a23e8f6a5f910b266c1808037f4e375b61"},
- {file = "argcomplete-3.5.3.tar.gz", hash = "sha256:c12bf50eded8aebb298c7b7da7a5ff3ee24dffd9f5281867dfe1424b58c55392"},
+ {file = "argcomplete-3.6.1-py3-none-any.whl", hash = "sha256:cef54d7f752560570291214f0f1c48c3b8ef09aca63d65de7747612666725dbc"},
+ {file = "argcomplete-3.6.1.tar.gz", hash = "sha256:927531c2fbaa004979f18c2316f6ffadcfc5cc2de15ae2624dfe65deaf60e14f"},
]
[package.extras]
test = ["coverage", "mypy", "pexpect", "ruff", "wheel"]
+[[package]]
+name = "attrs"
+version = "25.3.0"
+description = "Classes Without Boilerplate"
+optional = false
+python-versions = ">=3.8"
+groups = ["test"]
+files = [
+ {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"},
+ {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"},
+]
+
+[package.extras]
+benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
+tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
+
[[package]]
name = "babel"
version = "2.17.0"
description = "Internationalization utilities"
optional = false
python-versions = ">=3.8"
+groups = ["docs"]
files = [
{file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"},
{file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"},
]
[package.extras]
-dev = ["backports.zoneinfo", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata"]
+dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""]
[[package]]
name = "certifi"
@@ -45,6 +68,7 @@ version = "2025.1.31"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
+groups = ["docs"]
files = [
{file = "certifi-2025.1.31-py3-none-any.whl", hash = "sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe"},
{file = "certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651"},
@@ -56,6 +80,7 @@ version = "3.4.1"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false
python-versions = ">=3.7"
+groups = ["docs"]
files = [
{file = "charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de"},
{file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"},
@@ -157,6 +182,8 @@ version = "0.4.6"
description = "Cross-platform colored terminal text."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["docs", "test"]
+markers = "sys_platform == \"win32\""
files = [
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -168,6 +195,7 @@ version = "6.9.0"
description = "Add colours to the output of Python's logging module."
optional = false
python-versions = ">=3.6"
+groups = ["test"]
files = [
{file = "colorlog-6.9.0-py3-none-any.whl", hash = "sha256:5906e71acd67cb07a71e779c47c4bcb45fb8c2993eebe9e5adcd6a6f1b283eff"},
{file = "colorlog-6.9.0.tar.gz", hash = "sha256:bfba54a1b93b94f54e1f4fe48395725a3d92fd2a4af702f6bd70946bdc0c6ac2"},
@@ -181,75 +209,82 @@ development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
[[package]]
name = "coverage"
-version = "7.6.11"
+version = "7.7.1"
description = "Code coverage measurement for Python"
optional = false
python-versions = ">=3.9"
+groups = ["test"]
files = [
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[package.extras]
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name = "cython"
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description = "The Cython compiler for writing C extensions in the Python language."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
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optional = false
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files = [
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]
[[package]]
@@ -352,6 +409,7 @@ version = "2.0.1"
description = "Dom's tools for Tom's Obvious, Minimal Language."
optional = false
python-versions = ">=3.6.1"
+groups = ["docs"]
files = [
{file = "dom_toml-2.0.1-py3-none-any.whl", hash = "sha256:6681a793c94a5d1fb7b59690009cc3b1dfb1bcaae108fb8054c712a8f128efc7"},
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@@ -363,13 +421,14 @@ tomli = ">=1.2.3"
[[package]]
name = "domdf-python-tools"
-version = "3.9.0"
+version = "3.10.0"
description = "Helpful functions for Python 🐍 🛠️"
optional = false
python-versions = ">=3.6"
+groups = ["docs"]
files = [
- {file = "domdf_python_tools-3.9.0-py3-none-any.whl", hash = "sha256:4e1ef365cbc24627d6d1e90cf7d46d8ab8df967e1237f4a26885f6986c78872e"},
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+ {file = "domdf_python_tools-3.10.0-py3-none-any.whl", hash = "sha256:5e71c1be71bbcc1f881d690c8984b60e64298ec256903b3147f068bc33090c36"},
+ {file = "domdf_python_tools-3.10.0.tar.gz", hash = "sha256:2ae308d2f4f1e9145f5f4ba57f840fbfd1c2983ee26e4824347789649d3ae298"},
]
[package.dependencies]
@@ -386,6 +445,8 @@ version = "1.2.2"
description = "Backport of PEP 654 (exception groups)"
optional = false
python-versions = ">=3.7"
+groups = ["test"]
+markers = "python_version < \"3.11\""
files = [
{file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
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@@ -396,19 +457,20 @@ test = ["pytest (>=6)"]
[[package]]
name = "filelock"
-version = "3.17.0"
+version = "3.18.0"
description = "A platform independent file lock."
optional = false
python-versions = ">=3.9"
+groups = ["test"]
files = [
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- {file = "filelock-3.17.0.tar.gz", hash = "sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e"},
+ {file = "filelock-3.18.0-py3-none-any.whl", hash = "sha256:c401f4f8377c4464e6db25fff06205fd89bdd83b65eb0488ed1b160f780e21de"},
+ {file = "filelock-3.18.0.tar.gz", hash = "sha256:adbc88eabb99d2fec8c9c1b229b171f18afa655400173ddc653d5d01501fb9f2"},
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docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
-typing = ["typing-extensions (>=4.12.2)"]
+typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
[[package]]
name = "idna"
@@ -416,6 +478,7 @@ version = "3.10"
description = "Internationalized Domain Names in Applications (IDNA)"
optional = false
python-versions = ">=3.6"
+groups = ["docs"]
files = [
{file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
{file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -430,6 +493,7 @@ version = "1.4.1"
description = "Getting image size from png/jpeg/jpeg2000/gif file"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["docs"]
files = [
{file = "imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b"},
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@@ -441,6 +505,8 @@ version = "8.6.1"
description = "Read metadata from Python packages"
optional = false
python-versions = ">=3.9"
+groups = ["docs"]
+markers = "python_version < \"3.10\""
files = [
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{file = "importlib_metadata-8.6.1.tar.gz", hash = "sha256:310b41d755445d74569f993ccfc22838295d9fe005425094fad953d7f15c8580"},
@@ -450,34 +516,36 @@ files = [
zipp = ">=3.20"
[package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
cover = ["pytest-cov"]
doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
enabler = ["pytest-enabler (>=2.2)"]
perf = ["ipython"]
-test = ["flufl.flake8", "importlib_resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
type = ["pytest-mypy"]
[[package]]
name = "iniconfig"
-version = "2.0.0"
+version = "2.1.0"
description = "brain-dead simple config-ini parsing"
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
+groups = ["test"]
files = [
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+ {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
]
[[package]]
name = "jinja2"
-version = "3.1.5"
+version = "3.1.6"
description = "A very fast and expressive template engine."
optional = false
python-versions = ">=3.7"
+groups = ["docs"]
files = [
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+ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
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]
[package.dependencies]
@@ -492,6 +560,7 @@ version = "3.0.2"
description = "Safely add untrusted strings to HTML/XML markup."
optional = false
python-versions = ">=3.9"
+groups = ["docs"]
files = [
{file = "MarkupSafe-3.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8"},
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@@ -562,6 +631,7 @@ version = "8.4.0"
description = "Simple yet flexible natural sorting in Python."
optional = false
python-versions = ">=3.7"
+groups = ["docs"]
files = [
{file = "natsort-8.4.0-py3-none-any.whl", hash = "sha256:4732914fb471f56b5cce04d7bae6f164a592c7712e1c85f9ef585e197299521c"},
{file = "natsort-8.4.0.tar.gz", hash = "sha256:45312c4a0e5507593da193dedd04abb1469253b601ecaf63445ad80f0a1ea581"},
@@ -573,24 +643,27 @@ icu = ["PyICU (>=1.0.0)"]
[[package]]
name = "nox"
-version = "2024.10.9"
+version = "2025.2.9"
description = "Flexible test automation."
optional = false
python-versions = ">=3.8"
+groups = ["test"]
files = [
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- {file = "nox-2024.10.9.tar.gz", hash = "sha256:7aa9dc8d1c27e9f45ab046ffd1c3b2c4f7c91755304769df231308849ebded95"},
+ {file = "nox-2025.2.9-py3-none-any.whl", hash = "sha256:7d1e92d1918c6980d70aee9cf1c1d19d16faa71c4afe338fffd39e8a460e2067"},
+ {file = "nox-2025.2.9.tar.gz", hash = "sha256:d50cd4ca568bd7621c2e6cbbc4845b3b7f7697f25d5fb0190ce8f4600be79768"},
]
[package.dependencies]
argcomplete = ">=1.9.4,<4"
+attrs = ">=23.1"
colorlog = ">=2.6.1,<7"
+dependency-groups = ">=1.1"
packaging = ">=20.9"
tomli = {version = ">=1", markers = "python_version < \"3.11\""}
virtualenv = ">=20.14.1"
[package.extras]
-tox-to-nox = ["jinja2", "tox"]
+tox-to-nox = ["importlib-resources ; python_version < \"3.9\"", "jinja2", "tox (>=4)"]
uv = ["uv (>=0.1.6)"]
[[package]]
@@ -599,6 +672,7 @@ version = "24.2"
description = "Core utilities for Python packages"
optional = false
python-versions = ">=3.8"
+groups = ["docs", "test"]
files = [
{file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
{file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
@@ -610,6 +684,7 @@ version = "0.1.2"
description = "A simple package with utils to check whether versions number match PEP 440."
optional = false
python-versions = ">=3.7"
+groups = ["test"]
files = [
{file = "pep440-0.1.2-py3-none-any.whl", hash = "sha256:36d6ad73f2b5d07769294cafe183500ac89d848c922a3d3f521b968481880d51"},
{file = "pep440-0.1.2.tar.gz", hash = "sha256:58b37246cc2b13fee1ca2a3c092cb3704d21ecf621a5bdbb168e44e697f6d04d"},
@@ -621,19 +696,20 @@ test = ["pytest", "pytest-console-scripts", "pytest-cov"]
[[package]]
name = "platformdirs"
-version = "4.3.6"
+version = "4.3.7"
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["test"]
files = [
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+ {file = "platformdirs-4.3.7-py3-none-any.whl", hash = "sha256:a03875334331946f13c549dbd8f4bac7a13a50a895a0eb1e8c6a8ace80d40a94"},
+ {file = "platformdirs-4.3.7.tar.gz", hash = "sha256:eb437d586b6a0986388f0d6f74aa0cde27b48d0e3d66843640bfb6bdcdb6e351"},
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-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"]
-type = ["mypy (>=1.11.2)"]
+docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.4)", "pytest-cov (>=6)", "pytest-mock (>=3.14)"]
+type = ["mypy (>=1.14.1)"]
[[package]]
name = "pluggy"
@@ -641,6 +717,7 @@ version = "1.5.0"
description = "plugin and hook calling mechanisms for python"
optional = false
python-versions = ">=3.8"
+groups = ["test"]
files = [
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@@ -650,12 +727,25 @@ files = [
dev = ["pre-commit", "tox"]
testing = ["pytest", "pytest-benchmark"]
+[[package]]
+name = "py-cpuinfo"
+version = "9.0.0"
+description = "Get CPU info with pure Python"
+optional = false
+python-versions = "*"
+groups = ["test"]
+files = [
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+
[[package]]
name = "pygments"
version = "2.19.1"
description = "Pygments is a syntax highlighting package written in Python."
optional = false
python-versions = ">=3.8"
+groups = ["docs"]
files = [
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@@ -666,13 +756,14 @@ windows-terminal = ["colorama (>=0.4.6)"]
[[package]]
name = "pytest"
-version = "8.3.4"
+version = "8.3.5"
description = "pytest: simple powerful testing with Python"
optional = false
python-versions = ">=3.8"
+groups = ["test"]
files = [
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+ {file = "pytest-8.3.5.tar.gz", hash = "sha256:f4efe70cc14e511565ac476b57c279e12a855b11f48f212af1080ef2263d3845"},
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[package.dependencies]
@@ -686,12 +777,34 @@ tomli = {version = ">=1", markers = "python_version < \"3.11\""}
[package.extras]
dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+[[package]]
+name = "pytest-benchmark"
+version = "5.1.0"
+description = "A ``pytest`` fixture for benchmarking code. It will group the tests into rounds that are calibrated to the chosen timer."
+optional = false
+python-versions = ">=3.9"
+groups = ["test"]
+files = [
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+]
+
+[package.dependencies]
+py-cpuinfo = "*"
+pytest = ">=8.1"
+
+[package.extras]
+aspect = ["aspectlib"]
+elasticsearch = ["elasticsearch"]
+histogram = ["pygal", "pygaljs", "setuptools"]
+
[[package]]
name = "pytest-cov"
version = "6.0.0"
description = "Pytest plugin for measuring coverage."
optional = false
python-versions = ">=3.9"
+groups = ["test"]
files = [
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@@ -710,6 +823,7 @@ version = "2.32.3"
description = "Python HTTP for Humans."
optional = false
python-versions = ">=3.8"
+groups = ["docs"]
files = [
{file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
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@@ -727,29 +841,30 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
[[package]]
name = "ruff"
-version = "0.7.4"
+version = "0.9.10"
description = "An extremely fast Python linter and code formatter, written in Rust."
optional = false
python-versions = ">=3.7"
+groups = ["test"]
files = [
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description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
optional = false
python-versions = "*"
+groups = ["docs"]
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description = "Python documentation generator"
optional = false
python-versions = ">=3.9"
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sphinxcontrib-devhelp = "*"
sphinxcontrib-htmlhelp = ">=2.0.0"
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description = "Type hints (PEP 484) support for the Sphinx autodoc extension"
optional = false
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numpy = ["nptyping (>=2.5)"]
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name = "sphinx-pyproject"
@@ -824,6 +942,7 @@ version = "0.3.0"
description = "Move some of your Sphinx configuration into pyproject.toml"
optional = false
python-versions = ">=3.6"
+groups = ["docs"]
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[[package]]
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description = "Read the Docs theme for Sphinx"
optional = false
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sphinxcontrib-jquery = ">=4,<5"
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name = "sphinxcontrib-applehelp"
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description = "sphinxcontrib-applehelp is a Sphinx extension which outputs Apple help books"
optional = false
python-versions = ">=3.9"
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files = [
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description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp documents"
optional = false
python-versions = ">=3.9"
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files = [
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description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files"
optional = false
python-versions = ">=3.9"
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description = "Extension to include jQuery on newer Sphinx releases"
optional = false
python-versions = ">=2.7"
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description = "A sphinx extension which renders display math in HTML via JavaScript"
optional = false
python-versions = ">=3.5"
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optional = false
python-versions = ">=3.9"
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python-versions = ">=3.9"
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python-versions = ">=3.8"
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python-versions = ">=3.8"
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optional = false
python-versions = ">=3.9"
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zstd = ["zstandard (>=0.18.0)"]
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optional = false
python-versions = ">=3.8"
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+ {file = "virtualenv-20.29.3.tar.gz", hash = "sha256:95e39403fcf3940ac45bc717597dba16110b74506131845d9b687d5e73d947ac"},
]
[package.dependencies]
@@ -1047,7 +1178,7 @@ platformdirs = ">=3.9.1,<5"
[package.extras]
docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
-test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""]
[[package]]
name = "zipp"
@@ -1055,20 +1186,22 @@ version = "3.21.0"
description = "Backport of pathlib-compatible object wrapper for zip files"
optional = false
python-versions = ">=3.9"
+groups = ["docs"]
+markers = "python_version < \"3.10\""
files = [
{file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
{file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
]
[package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
cover = ["pytest-cov"]
doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
type = ["pytest-mypy"]
[metadata]
-lock-version = "2.0"
-python-versions = ">=3.9,<3.15"
-content-hash = "ac25afc7dd34ee5361620f30a1602d9112d674d4c8f00a2aaac85f34f826e3f9"
+lock-version = "2.1"
+python-versions = ">= 3.9"
+content-hash = "38fbbe57866b8c63e3de60d3edef54a30fe5fe3e5274d4423caeb0afe9cda15c"
diff --git a/pyproject.toml b/pyproject.toml
index 03ef635..06bafb6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,24 +1,19 @@
[build-system]
-requires = ["poetry-core>=1.7.0", "setuptools>=67.7.2", "Cython>=3.0.2"]
-build-backend = "poetry.core.masonry.api"
+requires = ["poetry-core>=2.0.1", "setuptools>=75.8.0", "Cython>=3.0.12"]
+build-backend = "poetry.core.masonry.api"
-[tool.poetry]
+[project]
name = "python-constraint2" # when set back to "python-constraint", don't forget to remove '2' in other places (e.g. README)
-packages = [
- { include = "constraint", from = "." },
- { include = "tests", format = "sdist" }
-]
-include = [{ path = "constraint/*.so", format = "wheel" }]
description = "python-constraint is a module for efficiently solving CSPs (Constraint Solving Problems) over finite domains."
-version = "2.1.0" # adhere to PEP440 versioning: https://packaging.python.org/en/latest/guides/distributing-packages-using-setuptools/#id55
+version = "2.2.0" # adhere to PEP440 versioning: https://packaging.python.org/en/latest/guides/distributing-packages-using-setuptools/#id55
authors = [
- "Gustavo Niemeyer ",
- "Sébastien Celles ",
- "Floris-Jan Willemsen ",
+ {name = "Gustavo Niemeyer", email = "gustavo@niemeyer.net"},
+ {name = "Sébastien Celles", email = "s.celles@gmail.com"},
+ {name = "Floris-Jan Willemsen", email = "fjwillemsen97@gmail.com"},
]
license = "BSD-2-Clause"
readme = "README.rst"
-maintainers = ["Floris-Jan Willemsen "]
+maintainers = [{name = "Floris-Jan Willemsen", email = "fjwillemsen97@gmail.com"}]
repository = "https://github.com/python-constraint/python-constraint"
documentation = "http://python-constraint.github.io/python-constraint/"
keywords = [
@@ -31,7 +26,7 @@ keywords = [
]
classifiers = [
"Environment :: Console",
- "Development Status :: 4 - Beta",
+ "Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Intended Audience :: Education",
@@ -41,35 +36,44 @@ classifiers = [
"Topic :: Scientific/Engineering",
"Topic :: Software Development",
]
+
+# ATTENTION: if anything is changed here, run `poetry update`
+requires-python = ">= 3.9" # when changing the Python versions, also change the test versions in the Noxfile and GitHub Actions
+
+[tool.poetry]
+include = [{ path = "constraint/*.so", format = "wheel" }]
+packages = [
+ { include = "constraint", from = "." },
+ { include = "tests", format = "sdist" }
+]
+
+
[tool.poetry.build]
generate-setup-file = false
script = "cythonize_build.py"
-# ATTENTION: if anything is changed here, run `poetry update`
-[tool.poetry.dependencies]
-python = ">=3.9,<3.15" # when changing the Python versions, also change the test versions in the Noxfile and GitHub Actions
-[tool.poetry.group.dev.dependencies]
-Cython = "^3.0.2"
-
# ATTENTION: if anything is changed here, run `poetry update` and `poetry export --with docs --without-hashes --format=requirements.txt > docs/requirements.txt`
[tool.poetry.group.docs]
optional = true
[tool.poetry.group.docs.dependencies]
-sphinx = "^7.1.2"
-sphinx-autodoc-typehints = "^1.24.0"
-sphinx_rtd_theme = "^1.3.0"
+sphinx = "^7.4.7" # can be updated to >=8.*.* when Python 3.9 is dropped
+sphinx-autodoc-typehints = "^2.3.0" # can be updated to >=3.*.* when Python 3.9 is dropped
+sphinx_rtd_theme = "^3.0.2"
sphinx-pyproject = "^0.3.0"
# ATTENTION: if anything is changed here, run `poetry update`
+[tool.poetry.group.dev.dependencies]
+Cython = "^3.0.12"
[tool.poetry.group.test]
optional = true
[tool.poetry.group.test.dependencies]
pytest = "^8.3.3"
+pytest-benchmark = "^5.1.0"
pytest-cov = "^6.0.0"
-nox = "^2024.10.9"
-ruff = "^0.7.2"
+nox = "^2025.2.9"
+ruff = "^0.9.6"
pep440 = "^0.1.2"
-tomli = "^2.0.2" # can be replaced by built-in [tomllib](https://docs.python.org/3.11/library/tomllib.html) from Python 3.11
+tomli = "^2.2.1" # can be replaced by built-in [tomllib](https://docs.python.org/3.11/library/tomllib.html) from Python 3.11
# development dependencies are unused for now, as this is already covered by test and docs
# # ATTENTION: if anything is changed here, run `poetry update`
diff --git a/tests/benchmarks.py b/tests/benchmarks.py
new file mode 100644
index 0000000..ac591b3
--- /dev/null
+++ b/tests/benchmarks.py
@@ -0,0 +1,109 @@
+"""Module providing various search spaces for benchmarking, ordered on number of solutions."""
+
+from constraint import Problem
+
+# device properties (for A4000 on DAS6 using get_opencl_device_info.cpp)
+dev = {
+ "max_threads": 1024,
+ "max_threads_per_sm": 1024,
+ "max_threads_per_block": 1536,
+ "max_shared_memory_per_block": 49152,
+ "max_shared_memory": 102400,
+ "max_wi_size": [1024, 1024, 64],
+ "max_wg_size": 1024,
+}
+
+def dedispersion():
+ """Based on the Dedispersion search space in the paper."""
+ benchmark_name = "dedispersion"
+ expected_num_solutions = 11130
+
+ # setup the tunable parameters
+ problem = Problem()
+ problem.addVariable("block_size_x", [1, 2, 4, 8] + [16 * i for i in range(1, 3)])
+ problem.addVariable("block_size_y", [8 * i for i in range(4, 33)])
+ problem.addVariable("block_size_z", [1])
+ problem.addVariable("tile_size_x", [i for i in range(1, 5)])
+ problem.addVariable("tile_size_y", [i for i in range(1, 9)])
+ problem.addVariable("tile_stride_x", [0, 1])
+ problem.addVariable("tile_stride_y", [0, 1])
+ problem.addVariable("loop_unroll_factor_channel", [
+ 0
+ ])
+
+ # setup the restrictions
+ check_block_size = "32 <= block_size_x * block_size_y <= 1024"
+ check_tile_stride_x = "tile_size_x > 1 or tile_stride_x == 0"
+ check_tile_stride_y = "tile_size_y > 1 or tile_stride_y == 0"
+ problem.addConstraint([check_block_size, check_tile_stride_x, check_tile_stride_y])
+
+ return benchmark_name, problem, expected_num_solutions
+
+def microhh():
+ """Based on the MicroHH search space in the paper."""
+ benchmark_name = "microhh"
+ expected_num_solutions = 138600
+
+ cta_padding = 0 # default argument
+
+ # setup the tunable parameters
+ problem = Problem()
+ problem.addVariable("STATIC_STRIDES", [0])
+ problem.addVariable("TILING_STRATEGY", [0])
+ problem.addVariable("REWRITE_INTERP", [0])
+ problem.addVariable("BLOCK_SIZE_X", [1, 2, 4, 8, 16, 32, 128, 256, 512, 1024])
+ problem.addVariable("BLOCK_SIZE_Y", [1, 2, 4, 8, 16, 32])
+ problem.addVariable("BLOCK_SIZE_Z", [1, 2, 4])
+ problem.addVariable("TILING_FACTOR_X", [1, 2, 4, 8])
+ problem.addVariable("TILING_FACTOR_Y", [1, 2, 4])
+ problem.addVariable("TILING_FACTOR_Z", [1, 2, 4])
+ problem.addVariable("LOOP_UNROLL_FACTOR_X",[1, 2, 4, 8])
+ problem.addVariable("LOOP_UNROLL_FACTOR_Y", [1, 2, 4])
+ problem.addVariable("LOOP_UNROLL_FACTOR_Z", [1, 2, 4])
+ problem.addVariable("BLOCKS_PER_MP", [0, 1, 2, 3, 4])
+
+ # setup the restrictions
+ problem.addConstraint([
+ f"BLOCK_SIZE_X * BLOCK_SIZE_Y * BLOCK_SIZE_Z * BLOCKS_PER_MP <= {dev['max_threads_per_sm']}",
+ f"32 <= BLOCK_SIZE_X * BLOCK_SIZE_Y * BLOCK_SIZE_Z <= {dev['max_threads_per_block']}",
+ "LOOP_UNROLL_FACTOR_X == 0 or TILING_FACTOR_X % LOOP_UNROLL_FACTOR_X == 0",
+ "LOOP_UNROLL_FACTOR_Y == 0 or TILING_FACTOR_Y % LOOP_UNROLL_FACTOR_Y == 0",
+ "LOOP_UNROLL_FACTOR_Z == 0 or TILING_FACTOR_Z % LOOP_UNROLL_FACTOR_Z == 0",
+ f"BLOCK_SIZE_X * TILING_FACTOR_X > {cta_padding}",
+ f"BLOCK_SIZE_Y * TILING_FACTOR_Y > {cta_padding}",
+ f"BLOCK_SIZE_Z * TILING_FACTOR_Z > {cta_padding}",
+ ])
+
+ return benchmark_name, problem, expected_num_solutions
+
+def hotspot():
+ """Based on the Hotspot search space in the paper."""
+ benchmark_name = "hotspot"
+ expected_num_solutions = 349853
+
+ # constants
+ temporal_tiling_factor = [i for i in range(1, 11)]
+ max_tfactor = max(temporal_tiling_factor)
+
+ # setup the tunable parameters
+ problem = Problem()
+ problem.addVariable("block_size_x", [1, 2, 4, 8, 16] + [32 * i for i in range(1, 33)])
+ problem.addVariable("block_size_y", [2**i for i in range(6)])
+ problem.addVariable("tile_size_x", [i for i in range(1, 11)])
+ problem.addVariable("tile_size_y", [i for i in range(1, 11)])
+ problem.addVariable("temporal_tiling_factor", temporal_tiling_factor)
+ problem.addVariable("max_tfactor", [max_tfactor])
+ problem.addVariable("loop_unroll_factor_t", [i for i in range(1, max_tfactor + 1)])
+ problem.addVariable("sh_power", [0, 1])
+ problem.addVariable("blocks_per_sm", [0, 1, 2, 3, 4])
+
+ # setup the restrictions
+ problem.addConstraint([
+ "block_size_x*block_size_y >= 32",
+ "temporal_tiling_factor % loop_unroll_factor_t == 0",
+ f"block_size_x*block_size_y <= {dev['max_threads']}",
+ f"(block_size_x*tile_size_x + temporal_tiling_factor * 2) * (block_size_y*tile_size_y + temporal_tiling_factor * 2) * (2+sh_power) * 4 <= {dev['max_shared_memory_per_block']}",
+ f"blocks_per_sm == 0 or (((block_size_x*tile_size_x + temporal_tiling_factor * 2) * (block_size_y*tile_size_y + temporal_tiling_factor * 2) * (2+sh_power) * 4) * blocks_per_sm <= {dev['max_shared_memory']})",
+ ])
+
+ return benchmark_name, problem, expected_num_solutions
diff --git a/tests/test_util_benchmark.py b/tests/test_util_benchmark.py
new file mode 100644
index 0000000..39b4ee0
--- /dev/null
+++ b/tests/test_util_benchmark.py
@@ -0,0 +1,148 @@
+"""Test run times with benchmarks against reference times. File is called test_util_benchmarks to be ran as last test."""
+
+import pytest
+from random import random
+from time import perf_counter
+from math import sqrt
+
+from .benchmarks import dedispersion, microhh, hotspot
+
+
+# reference times (using A4000 on DAS6)
+reference_microbenchmark_mean = [0.3784186691045761, 0.4737640768289566, 0.10726054509480794, 0.10744890073935191, 0.10979799057046573, 0.15360217044750848, 0.14483965436617532, 0.054416230569283165, 0.13835338006416956, 0.1371802551050981] # noqa E501
+reference_results = {
+ "microhh": 1.1565620,
+ "dedispersion": 0.1171140,
+ "hotspot": 2.6839208,
+}
+# collect benchmark times
+benchmark_results = dict()
+
+@pytest.mark.skip
+def get_performance_factor(repeats=3):
+ """Run microbenchmarks to indicate how much slower this system is compared to the reference."""
+
+ def cpu_1():
+ """Matrix multiplication"""
+ size = 100
+ A = [[random() for _ in range(size)] for _ in range(size)]
+ B = [[random() for _ in range(size)] for _ in range(size)]
+ result = [[sum(A[i][k] * B[k][j] for k in range(size)) for j in range(size)] for i in range(size)]
+ return result
+
+ def cpu_2():
+ """Element-wise arithmetic"""
+ N = 10**6
+ A = [random() for _ in range(N)]
+ B = [random() for _ in range(N)]
+ return [A[i] + B[i] for i in range(N)]
+
+ def cpu_3():
+ """Addition"""
+ N = 10**6
+ return [i + i for i in range(N)]
+
+ def cpu_4():
+ """Multiplication"""
+ N = 10**6
+ return [i * i for i in range(N)]
+
+ def cpu_5():
+ """Division"""
+ N = 10**6
+ return [i / i for i in range(1, N+1)]
+
+ def mem_1():
+ """Array copying"""
+ N = 10**6
+ A = [random() for _ in range(N)]
+ return A.copy()
+
+ def mem_2():
+ """Array slicing"""
+ N = 10**6
+ A = [random() for _ in range(N)]
+ return A[::2]
+
+ def mem_3():
+ """Dictionary lookup"""
+ N = 10**3
+ keys = list(range(N))
+ values = list(range(N))
+ lst = list(zip(keys, values))
+ return [next((v for k, v in lst if k == i), None) for i in range(N)]
+
+ def cache_1():
+ """Sequential array sum"""
+ N = 10**6
+ A = [random() for _ in range(N)]
+ return sum(A)
+
+ def cache_2():
+ """Strided array sum"""
+ N = 10**6
+ A = [random() for _ in range(N)]
+ return sum(A[::2])
+
+ # run the benchmarks
+ benchmarks = [cpu_1, cpu_2, cpu_3, cpu_4, cpu_5, mem_1, mem_2, mem_3, cache_1, cache_2]
+ raw_data = [list() for _ in range(repeats)]
+ for i in range(repeats):
+ for f in benchmarks:
+ start = perf_counter()
+ f()
+ duration = perf_counter() - start
+ raw_data[i].append(duration)
+
+ # non-Numpy implementation of statistics calculation
+ transposed_data = list(zip(*raw_data)) # transpose the raw_data to get columns as rows
+
+ # calculate mean along axis=0 (column-wise) (`benchmark_data.mean(axis=0)`)
+ benchmark_mean = [sum(column) / len(column) for column in transposed_data]
+
+ # calculate standard deviation along axis=0 (column-wise)
+ def stddev(column, mean):
+ variance = sum((x - mean) ** 2 for x in column) / len(column)
+ return sqrt(variance)
+
+ # calculate relative standard deviation (`(benchmark_data.std(axis=0) / abs(np_benchmark_mean))`)
+ benchmark_std = [stddev(column, mean) for column, mean in zip(transposed_data, benchmark_mean)]
+ relative_std = [(s / abs(m)) if m != 0 else 0 for s, m in zip(benchmark_std, benchmark_mean)]
+
+ # calculate mean relative standard deviation and apply threshold (`max(np.mean(np_relative_std), 0.125)`)
+ mean_relative_std = max(sum(relative_std) / len(relative_std), 0.125)
+
+ # calculate performance factor (`np.mean(np_benchmark_mean / reference_microbenchmark_mean)`)
+ performance_factor = sum(bm / rm for bm, rm in zip(benchmark_mean, reference_microbenchmark_mean)) / len(benchmark_mean)
+ return performance_factor, mean_relative_std
+
+performance_factor, mean_relative_std = get_performance_factor()
+print(f"\nSystem performance factor: {round(performance_factor, 3)}")
+
+@pytest.mark.skip
+def check_benchmark_performance(benchmark_name, mean, std):
+ """Utility function to check whether the performance of a benchmark is within the expected range and print information."""
+ reference_result = reference_results[benchmark_name]
+ assert mean - std * 2 <= reference_result * (performance_factor + mean_relative_std * 2)
+ print(f"Benchmark {benchmark_name}: reference: {round(reference_result, 3)}, run: {round(mean, 3)}, expected: {round(reference_result * performance_factor, 3)}")
+
+@pytest.mark.skip
+def run_and_check_benchmark(benchmark, benchmark_name, problem, expected_num_solutions):
+ """Utility function to run and check a benchmark."""
+ # run the benchmark
+ solutions = benchmark(problem.getSolutions)
+ benchmark_result = benchmark.stats.stats.mean
+ benchmark_results[benchmark_name] = benchmark_result
+ # check for valid outcome
+ assert len(solutions) == expected_num_solutions
+ # check for performance degradation
+ check_benchmark_performance(benchmark_name, benchmark_result, benchmark.stats.stats.stddev)
+
+def test_microhh(benchmark):
+ run_and_check_benchmark(benchmark, *microhh())
+
+def test_dedispersion(benchmark):
+ run_and_check_benchmark(benchmark, *dedispersion())
+
+def test_hotspot(benchmark):
+ run_and_check_benchmark(benchmark, *hotspot())