From 90a55bf5a93d7747dbcc75330002b1f4d84ebb99 Mon Sep 17 00:00:00 2001
From: Alexandru Fikl <alexfikl@gmail.com>
Date: Tue, 7 Jul 2026 22:03:41 +0300
Subject: [PATCH 01/10] feat(typing): add type annotations to fmm.py

---
 sumpy/fmm.py | 391 +++++++++++++++++++++++++++++++--------------------
 1 file changed, 242 insertions(+), 149 deletions(-)

diff --git a/sumpy/fmm.py b/sumpy/fmm.py
index 12149303..fa226074 100644
--- a/sumpy/fmm.py
+++ b/sumpy/fmm.py
@@ -42,8 +42,13 @@
 from typing import TYPE_CHECKING, Any, Protocol, TypeAlias
 
 import numpy as np
-from boxtree.fmm import ExpansionWranglerInterface, TreeIndependentDataForWrangler
+from boxtree.fmm import (
+    ExpansionWranglerInterface,
+    PotentialArray,
+    TreeIndependentDataForWrangler,
+)
 from boxtree.tree import Tree
+from typing_extensions import override
 
 from pytools import memoize_in, memoize_method, obj_array
 
@@ -63,6 +68,7 @@
 )
 from sumpy.kernel import ScalarKernel
 from sumpy.tools import (
+    FFTBackend,
     get_opencl_fft_app,
     run_opencl_fft,
     to_complex_dtype,
@@ -72,14 +78,25 @@
 if TYPE_CHECKING:
     from collections.abc import Sequence
 
-    from boxtree.traversal import FMMTraversalInfo
+    import optype.numpy as onp
     from numpy.typing import DTypeLike
+    from pyvkfft.opencl import VkFFTApp
 
+    import loopy as lp
     import pyopencl
     from arraycontext import Array, ArrayContext
+    from boxtree.translation_classes import TranslationClassesInfo
+    from boxtree.traversal import FMMTraversalInfo
+    from pyopencl.algorithm import BuiltList
+    from pyopencl.typing import WaitList
 
+    from sumpy.e2e import E2EBase
+    from sumpy.e2p import E2PBase
     from sumpy.expansion.local import LocalExpansionBase
+    from sumpy.expansion.m2l import M2LTranslationBase
     from sumpy.expansion.multipole import MultipoleExpansionBase
+    from sumpy.p2e import P2EBase
+    from sumpy.p2p import P2PBase
 
 
 class MultipoleExpansionFromOrderFactory(Protocol):
@@ -119,7 +136,7 @@ def __init__(self,
                  exclude_self: bool = False,
                  use_rscale: bool | None = None,
                  strength_usage: Sequence[int] | None = None,
-                 source_kernels: Sequence[ScalarKernel] | None = None):
+                 source_kernels: Sequence[ScalarKernel] | None = None) -> None:
         """
         :arg multipole_expansion_factory: a callable of a single argument (order)
             that returns a multipole expansion.
@@ -143,51 +160,53 @@ def __init__(self,
         self.strength_usage = strength_usage
 
     @memoize_method
-    def get_base_kernel(self):
+    def get_base_kernel(self) -> ScalarKernel:
         from pytools import single_valued
         return single_valued(k.get_base_kernel() for k in self.target_kernels)
 
     @memoize_method
-    def multipole_expansion(self, order: int):
+    def multipole_expansion(self, order: int) -> MultipoleExpansionBase:
         if self.use_rscale is None:
             return self.multipole_expansion_factory(order)
         else:
             return self.multipole_expansion_factory(order, use_rscale=self.use_rscale)
 
     @memoize_method
-    def local_expansion(self, order: int):
+    def local_expansion(self, order: int) -> LocalExpansionBase:
         if self.use_rscale is None:
             return self.local_expansion_factory(order)
         else:
             return self.local_expansion_factory(order, use_rscale=self.use_rscale)
 
     @property
-    def m2l_translation(self):
+    def m2l_translation(self) -> M2LTranslationBase:
         return self.local_expansion(0).m2l_translation
 
     @memoize_method
-    def p2m(self, tgt_order):
+    def p2m(self, tgt_order: int) -> P2EBase:
         return P2EFromSingleBox(
                 kernels=self.source_kernels,
                 expansion=self.multipole_expansion(tgt_order),
                 strength_usage=self.strength_usage, name="p2m")
 
     @memoize_method
-    def p2l(self, tgt_order):
+    def p2l(self, tgt_order: int) -> P2EBase:
         return P2EFromCSR(
                 kernels=self.source_kernels,
                 expansion=self.local_expansion(tgt_order),
                 strength_usage=self.strength_usage, name="p2l")
 
     @memoize_method
-    def m2m(self, src_order, tgt_order):
+    def m2m(self, src_order: int, tgt_order: int) -> E2EBase:
         return E2EFromChildren(
                 self.multipole_expansion(src_order),
                 self.multipole_expansion(tgt_order), name="m2m")
 
     @memoize_method
-    def m2l(self, src_order, tgt_order,
-            m2l_use_translation_classes_dependent_data=False):
+    def m2l(self,
+            src_order: int,
+            tgt_order: int,
+            m2l_use_translation_classes_dependent_data: bool = False) -> E2EBase:
         if m2l_use_translation_classes_dependent_data:
             m2l_class = M2LUsingTranslationClassesDependentData
         else:
@@ -197,56 +216,59 @@ def m2l(self, src_order, tgt_order,
                 self.local_expansion(tgt_order), name="m2l")
 
     @memoize_method
-    def m2l_translation_class_dependent_data_kernel(self, src_order, tgt_order):
+    def m2l_translation_class_dependent_data_kernel(
+            self, src_order: int, tgt_order: int
+        ) -> E2EBase:
         return M2LGenerateTranslationClassesDependentData(
                 self.multipole_expansion(src_order),
                 self.local_expansion(tgt_order))
 
     @memoize_method
-    def m2l_preprocess_mpole_kernel(self, src_order, tgt_order):
+    def m2l_preprocess_mpole_kernel(self, src_order: int, tgt_order: int) -> E2EBase:
         return M2LPreprocessMultipole(
                 self.multipole_expansion(src_order),
                 self.local_expansion(tgt_order))
 
     @memoize_method
-    def m2l_postprocess_local_kernel(self, src_order, tgt_order):
+    def m2l_postprocess_local_kernel(self, src_order: int, tgt_order: int) -> E2EBase:
         return M2LPostprocessLocal(
                 self.multipole_expansion(src_order),
                 self.local_expansion(tgt_order))
 
     @memoize_method
-    def l2l(self, src_order, tgt_order):
+    def l2l(self, src_order: int, tgt_order: int) -> E2EBase:
         return E2EFromParent(
                 self.local_expansion(src_order),
                 self.local_expansion(tgt_order), name="l2l")
 
     @memoize_method
-    def m2p(self, src_order):
+    def m2p(self, src_order: int) -> E2PBase:
         return E2PFromCSR(
                 self.multipole_expansion(src_order),
                 self.target_kernels, name="m2p")
 
     @memoize_method
-    def l2p(self, src_order):
+    def l2p(self, src_order: int) -> E2PBase:
         return E2PFromSingleBox(
                 self.local_expansion(src_order),
                 self.target_kernels, name="l2p")
 
     @memoize_method
-    def p2p(self):
+    def p2p(self) -> P2PBase:
         return P2PFromCSR(target_kernels=self.target_kernels,
                           source_kernels=self.source_kernels,
                           exclude_self=self.exclude_self,
                           strength_usage=self.strength_usage, name="p2p")
 
-    def opencl_fft_app(self,
-                       shape: tuple[int, ...],
-                       dtype: np.dtype[Any],
-                       inverse: bool) -> Any:
+    def opencl_fft_app(
+            self,
+            shape: tuple[int, ...],
+            dtype: np.dtype[Any],
+            inverse: bool) -> tuple[lp.TranslationUnit | VkFFTApp, FFTBackend]:
         @memoize_in(self._setup_actx, (
             SumpyTreeIndependentDataForWrangler.opencl_fft_app,
             shape, dtype, inverse))
-        def app() -> Any:
+        def app() -> tuple[lp.TranslationUnit | VkFFTApp, FFTBackend]:
             return get_opencl_fft_app(self._setup_actx, shape, dtype, inverse=inverse)
 
         return app()
@@ -286,7 +308,7 @@ class SumpyExpansionWrangler(ExpansionWranglerInterface):
         Type for the preprocessed multipole expansion if used for M2L.
     """
 
-    tree_indep: SumpyTreeIndependentDataForWrangler
+    tree_indep: SumpyTreeIndependentDataForWrangler  # pyright: ignore[reportIncompatibleVariableOverride]
     traversal: FMMTraversalInfo
 
     source_extra_kwargs: Mapping[str, object]
@@ -295,9 +317,11 @@ class SumpyExpansionWrangler(ExpansionWranglerInterface):
     extra_kwargs: Mapping[str, object]
 
     dtype: np.dtype[Any]
+    supports_translation_classes: bool
+    translation_classes_data: TranslationClassesInfo | None
     preprocessed_mpole_dtype: np.dtype[Any]
 
-    level_order: Sequence[int]
+    level_orders: Sequence[int]
 
     issued_timing_data_warning: bool
 
@@ -309,10 +333,10 @@ def __init__(self,
                 source_extra_kwargs: Mapping[str, object] | None = None,
                 kernel_extra_kwargs: Mapping[str, object] | None = None,
                 self_extra_kwargs: Mapping[str, object] | None = None,
-                translation_classes_data=None,
+                translation_classes_data: TranslationClassesInfo | None = None,
                 preprocessed_mpole_dtype: DTypeLike | None = None,
                 *,
-                _disable_translation_classes=False
+                _disable_translation_classes: bool = False
             ):
         super().__init__(tree_indep, traversal)
 
@@ -335,7 +359,9 @@ def __init__(self,
             self_extra_kwargs = {}
 
         if not callable(fmm_level_to_order):
-            raise TypeError("fmm_level_to_order not passed")
+            raise TypeError(
+                f"'fmm_level_to_order' is not a callable: {type(fmm_level_to_order)}"
+            )
 
         base_kernel = tree_indep.get_base_kernel()
         kernel_arg_set = frozenset(kernel_extra_kwargs.items())
@@ -369,7 +395,7 @@ def __init__(self,
     def level_to_rscale(self, level: int) -> float:
         tree = self.tree
         order = self.level_orders[level]
-        r = tree.root_extent * (2**-level)
+        r: Array = tree.root_extent * (2**-level)
 
         # See L. Greengard and V. Rokhlin. On the efficient implementation of the
         # fast multipole algorithm. Technical report,
@@ -389,36 +415,40 @@ def level_to_rscale(self, level: int) -> float:
 
     @property
     @memoize_method
-    def tree_level_start_box_nrs(self):
+    def tree_level_start_box_nrs(self) -> onp.Array1D[np.integer[Any]]:
         # NOTE: a host version of `level_start_box_nrs` is used repeatedly and
         # this simply caches it to avoid repeated transfers
         actx = self.tree_indep._setup_actx
         assert self.tree.level_start_box_nrs is not None
         return actx.to_numpy(self.tree.level_start_box_nrs)
 
-    def _expansions_level_starts(self, order_to_size: Callable[[int], int]):
-        return build_csr_level_starts(self.level_orders, order_to_size,
+    def _expansions_level_starts(
+            self, order_to_size: Callable[[int], int]
+        ) -> Sequence[int]:
+        return build_csr_level_starts(
+                self.level_orders, order_to_size,
                 self.tree_level_start_box_nrs)
 
     @memoize_method
-    def multipole_expansions_level_starts(self):
+    def multipole_expansions_level_starts(self) -> Sequence[int]:
         return self._expansions_level_starts(
                 lambda order: len(self.tree_indep.multipole_expansion(order)))
 
     @memoize_method
-    def local_expansions_level_starts(self):
+    def local_expansions_level_starts(self) -> Sequence[int]:
         return self._expansions_level_starts(
                 lambda order: len(self.tree_indep.local_expansion(order)))
 
     @memoize_method
-    def m2l_translation_class_level_start_box_nrs(self):
+    def m2l_translation_class_level_start_box_nrs(self) -> onp.Array1D[np.integer[Any]]:
         actx = self.tree_indep._setup_actx
+        assert self.translation_classes_data is not None
         return actx.to_numpy(
             self.translation_classes_data
             .from_sep_siblings_translation_classes_level_starts)
 
     @memoize_method
-    def m2l_translation_classes_dependent_data_level_starts(self):
+    def m2l_translation_classes_dependent_data_level_starts(self) -> Sequence[int]:
         def order_to_size(order: int):
             mpole_expn = self.tree_indep.multipole_expansion(order)
             local_expn = self.tree_indep.local_expansion(order)
@@ -426,8 +456,9 @@ def order_to_size(order: int):
             return m2l_translation.translation_classes_dependent_ndata(
                     local_expn, mpole_expn)
 
-        return build_csr_level_starts(self.level_orders, order_to_size,
-                level_starts=self.m2l_translation_class_level_start_box_nrs())
+        return build_csr_level_starts(
+                self.level_orders, order_to_size,
+                self.m2l_translation_class_level_start_box_nrs())
 
     def multipole_expansion_zeros(self, actx: ArrayContext) -> Array:
         """Return an expansions array (which must support addition)
@@ -438,7 +469,7 @@ def multipole_expansion_zeros(self, actx: ArrayContext) -> Array:
                 self.multipole_expansions_level_starts()[-1],
                 dtype=self.dtype)
 
-    def local_expansion_zeros(self, actx) -> Array:
+    def local_expansion_zeros(self, actx: ArrayContext) -> Array:
         """Return an expansions array (which must support addition)
         capable of holding one multipole or local expansion for every
         box in the tree.
@@ -448,13 +479,14 @@ def local_expansion_zeros(self, actx) -> Array:
                 dtype=self.dtype)
 
     def m2l_translation_classes_dependent_data_zeros(
-            self, actx: ArrayContext):
+            self, actx: ArrayContext
+        ) -> Sequence[Array]:
         data_level_starts = (
             self.m2l_translation_classes_dependent_data_level_starts())
         level_start_box_nrs = (
             self.m2l_translation_class_level_start_box_nrs())
 
-        result = []
+        result: list[Array] = []
         for level in range(self.tree.nlevels):
             expn_start, expn_stop = data_level_starts[level:level + 2]
             translation_class_start, translation_class_stop = (
@@ -468,7 +500,10 @@ def m2l_translation_classes_dependent_data_zeros(
 
         return result
 
-    def multipole_expansions_view(self, mpole_exps, level):
+    @override
+    def multipole_expansions_view(
+            self, mpole_exps: Array, level: int,
+        ) -> tuple[int, Array]:
         expn_start, expn_stop = (
                 self.multipole_expansions_level_starts()[level:level + 2])
         box_start, box_stop = self.tree_level_start_box_nrs[level:level + 2]
@@ -476,7 +511,10 @@ def multipole_expansions_view(self, mpole_exps, level):
         return (box_start,
                 mpole_exps[expn_start:expn_stop].reshape(box_stop-box_start, -1))
 
-    def local_expansions_view(self, local_exps, level):
+    @override
+    def local_expansions_view(
+            self, local_exps: Array, level: int
+        ) -> tuple[int, Array]:
         expn_start, expn_stop = (
                 self.local_expansions_level_starts()[level:level + 2])
         box_start, box_stop = self.tree_level_start_box_nrs[level:level + 2]
@@ -484,16 +522,18 @@ def local_expansions_view(self, local_exps, level):
         return (box_start,
                 local_exps[expn_start:expn_stop].reshape(box_stop-box_start, -1))
 
-    def m2l_translation_classes_dependent_data_view(self,
-                m2l_translation_classes_dependent_data, level):
+    def m2l_translation_classes_dependent_data_view(
+            self,
+            m2l_translation_classes_dependent_data: Sequence[Array],
+            level: int) -> tuple[int, Array]:
         translation_class_start, _ = (
             self.m2l_translation_class_level_start_box_nrs()[level:level + 2])
         exprs_level = m2l_translation_classes_dependent_data[level]
         return (translation_class_start, exprs_level)
 
     @memoize_method
-    def m2l_preproc_mpole_expansions_level_starts(self):
-        def order_to_size(order):
+    def m2l_preproc_mpole_expansions_level_starts(self) -> Sequence[int]:
+        def order_to_size(order: int) -> int:
             mpole_expn = self.tree_indep.multipole_expansion(order)
             local_expn = self.tree_indep.local_expansion(order)
             return local_expn.m2l_translation.preprocess_multipole_nexprs(
@@ -503,13 +543,15 @@ def order_to_size(order):
                 level_starts=self.tree_level_start_box_nrs)
 
     def m2l_preproc_mpole_expansion_zeros(
-            self, actx: ArrayContext, template_ary):
+            self, actx: ArrayContext, template_ary: Array, /
+        ) -> Sequence[Array]:
+        tree_level_start_box_nrs = self.tree_level_start_box_nrs
         level_starts = self.m2l_preproc_mpole_expansions_level_starts()
 
-        result = []
+        result: list[Array] = []
         for level in range(self.tree.nlevels):
             expn_start, expn_stop = level_starts[level:level+2]
-            box_start, box_stop = self.tree_level_start_box_nrs[level:level+2]
+            box_start, box_stop = tree_level_start_box_nrs[level:level+2]
 
             exprs_level = actx.np.zeros(
                 expn_stop - expn_start,
@@ -519,17 +561,28 @@ def m2l_preproc_mpole_expansion_zeros(
 
         return result
 
-    def m2l_preproc_mpole_expansions_view(self, mpole_exps, level):
+    def m2l_preproc_mpole_expansions_view(
+            self, mpole_exps: Sequence[Array], level: int, /
+        ) -> tuple[int, Array]:
         box_start, _ = self.tree_level_start_box_nrs[level:level+2]
         return (box_start, mpole_exps[level])
 
-    m2l_work_array_view = m2l_preproc_mpole_expansions_view
-    m2l_work_array_zeros = m2l_preproc_mpole_expansion_zeros
-    m2l_work_array_level_starts = m2l_preproc_mpole_expansions_level_starts
+    def m2l_work_array_view(
+            self, m2l_exps: Sequence[Array], level: int, /
+        ) -> tuple[int, Array]:
+        return self.m2l_preproc_mpole_expansions_view(m2l_exps, level)
 
-    def output_zeros(self,
-                actx: ArrayContext
-            ) -> obj_array.ObjectArray1D[Array]:
+    def m2l_work_array_zeros(
+            self, actx: ArrayContext, template_ary: Array, /
+        ) -> Sequence[Array]:
+        return self.m2l_preproc_mpole_expansion_zeros(actx, template_ary)
+
+    def m2l_work_array_level_starts(self) -> Sequence[int]:
+        return self.m2l_preproc_mpole_expansions_level_starts()
+
+    def output_zeros(
+            self, actx: ArrayContext
+        ) -> obj_array.ObjectArray1D[Array]:
         """Return a potentials array (which must support addition) capable of
         holding a potential value for each target in the tree. Note that
         :func:`drive_fmm` makes no assumptions about *potential* other than
@@ -538,26 +591,24 @@ def output_zeros(self,
         """
         return obj_array.new_1d([
                 actx.np.zeros(self.tree.ntargets, dtype=self.dtype)
-                for k in self.tree_indep.target_kernels])
+                for _ in self.tree_indep.target_kernels])
 
-    def reorder_sources(self, source_array):
+    @override
+    def reorder_sources(self, source_array: Array) -> Array:
         return source_array[self.tree.user_source_ids]
 
-    def reorder_potentials(self, potentials):
-        import numpy as np
-
-        assert (
-                isinstance(potentials, np.ndarray)
-                and potentials.dtype.char == "O")
-
-        def reorder(x):
+    @override
+    def reorder_potentials(
+            self, potentials: PotentialArray
+        ) -> PotentialArray:
+        def reorder(x: Array) -> Array:
             return x[self.tree.sorted_target_ids]
 
         return obj_array.vectorize(reorder, potentials)
 
     @property
     @memoize_method
-    def max_nsources_in_one_box(self):
+    def max_nsources_in_one_box(self) -> int:
         actx = self.tree_indep._setup_actx
         return actx.to_numpy(
             actx.np.max(self.tree.box_source_counts_nonchild)
@@ -565,7 +616,7 @@ def max_nsources_in_one_box(self):
 
     @property
     @memoize_method
-    def max_ntargets_in_one_box(self):
+    def max_ntargets_in_one_box(self) -> int:
         actx = self.tree_indep._setup_actx
         return actx.to_numpy(
             actx.np.max(self.tree.box_target_counts_nonchild)
@@ -579,24 +630,30 @@ def max_ntargets_in_one_box(self):
     # lists, for example to use point sources instead of regular sources, or to
     # use a FilteredTargetListsInTreeOrder object.
 
-    def box_source_list_kwargs(self):
+    def box_source_list_kwargs(self) -> dict[str, Array]:
         return {
-                "box_source_starts": self.tree.box_source_starts,
-                "box_source_counts_nonchild": self.tree.box_source_counts_nonchild,
-                "sources": self.tree.sources}
+            "box_source_starts": self.tree.box_source_starts,
+            "box_source_counts_nonchild": self.tree.box_source_counts_nonchild,
+            "sources": self.tree.sources,
+        }
 
-    def box_target_list_kwargs(self):
+    def box_target_list_kwargs(self) -> dict[str, Array]:
         return {
-                "box_target_starts": self.tree.box_target_starts,
-                "box_target_counts_nonchild": self.tree.box_target_counts_nonchild,
-                "targets": self.tree.targets}
+            "box_target_starts": self.tree.box_target_starts,
+            "box_target_counts_nonchild": self.tree.box_target_counts_nonchild,
+            "targets": self.tree.targets,
+        }
 
     # }}}
 
-    def run_opencl_fft(self, actx: ArrayContext,
-            input_vec, inverse, wait_for):
-        app = self.tree_indep.opencl_fft_app(input_vec.shape, input_vec.dtype,
-            inverse)
+    def run_opencl_fft(
+            self,
+            actx: ArrayContext,
+            input_vec: Array, *,
+            inverse: bool,
+            wait_for: WaitList | None = None) -> Array:
+        app = self.tree_indep.opencl_fft_app(
+            input_vec.shape, input_vec.dtype, inverse=inverse)
         evt, result = run_opencl_fft(
             actx, app, input_vec, inverse=inverse, wait_for=wait_for)
 
@@ -606,10 +663,14 @@ def run_opencl_fft(self, actx: ArrayContext,
 
         return result
 
-    def form_multipoles(self,
+    @override
+    def form_multipoles(
+            self,
             actx: ArrayContext,
-            level_start_source_box_nrs, source_boxes,
-            src_weight_vecs):
+            level_start_source_box_nrs: Array,
+            source_boxes: Array,
+            src_weight_vecs: Sequence[Array],
+        ) -> Array:
         mpoles = self.multipole_expansion_zeros(actx)
         level_start_source_box_nrs = actx.to_numpy(level_start_source_box_nrs)
 
@@ -622,9 +683,7 @@ def form_multipoles(self,
             if start == stop:
                 continue
 
-            level_start_ibox, mpoles_view = self.multipole_expansions_view(
-                    mpoles, lev)
-
+            level_start_ibox, mpoles_view = self.multipole_expansions_view(mpoles, lev)
             mpoles_res = p2m(
                     actx,
                     source_boxes=source_boxes[start:stop],
@@ -640,11 +699,13 @@ def form_multipoles(self,
 
         return mpoles
 
-    def coarsen_multipoles(self,
+    @override
+    def coarsen_multipoles(
+            self,
             actx: ArrayContext,
-            level_start_source_parent_box_nrs,
-            source_parent_boxes,
-            mpoles):
+            level_start_source_parent_box_nrs: Array,
+            source_parent_boxes: Array,
+            mpoles: Array) -> Array:
         tree = self.tree
         level_start_source_parent_box_nrs = (
             actx.to_numpy(level_start_source_parent_box_nrs))
@@ -694,10 +755,14 @@ def coarsen_multipoles(self,
 
         return mpoles
 
-    def eval_direct(self,
+    @override
+    def eval_direct(
+            self,
             actx: ArrayContext,
-            target_boxes, source_box_starts,
-            source_box_lists, src_weight_vecs):
+            target_boxes: Array,
+            neighbor_sources_starts: Array,
+            neighbor_sources_lists: Array,
+            src_weight_vecs: Sequence[Array]) -> PotentialArray:
         pot = self.output_zeros(actx)
 
         kwargs = dict(self.extra_kwargs)
@@ -707,24 +772,25 @@ def eval_direct(self,
 
         pot_res = self.tree_indep.p2p()(actx,
                 target_boxes=target_boxes,
-                source_box_starts=source_box_starts,
-                source_box_lists=source_box_lists,
+                source_box_starts=neighbor_sources_starts,
+                source_box_lists=neighbor_sources_lists,
                 strength=src_weight_vecs,
                 result=pot,
                 max_nsources_in_one_box=self.max_nsources_in_one_box,
                 max_ntargets_in_one_box=self.max_ntargets_in_one_box,
                 **kwargs)
 
-        for pot_i, pot_res_i in zip(pot, pot_res, strict=True):
-            assert pot_i is pot_res_i
+        if __debug__:
+            for pot_i, pot_res_i in zip(pot, pot_res, strict=True):
+                assert pot_i is pot_res_i
 
         return pot
 
     @memoize_method
-    def multipole_to_local_precompute(self):
+    def multipole_to_local_precompute(self) -> Sequence[Array]:
         actx = self.tree_indep._setup_actx
 
-        result = []
+        result: list[Array] = []
         m2l_translation_classes_dependent_data = (
             self.m2l_translation_classes_dependent_data_zeros(actx))
 
@@ -749,6 +815,7 @@ def multipole_to_local_precompute(self):
                     m2l_translation_classes_dependent_data_view))
                 continue
 
+            assert self.translation_classes_data is not None
             data = self.translation_classes_data
             m2l_translation_vectors = (
                 data.from_sep_siblings_translation_class_to_distance_vector)
@@ -774,35 +841,42 @@ def multipole_to_local_precompute(self):
 
         return [actx.freeze(arr) for arr in result]
 
-    def _add_m2l_precompute_kwargs(self, kwargs_for_m2l,
-            lev):
+    def _add_m2l_precompute_kwargs(
+            self, kwargs_for_m2l: dict[str, int | Array], lev: int
+        ) -> None:
         """This method is used for adding the information needed for a
         multipole-to-local translation with precomputation to the keywords
         passed to multipole-to-local translation.
         """
         if not self.supports_translation_classes:
             return
-        m2l_translation_classes_dependent_data = \
-                self.multipole_to_local_precompute()
-        translation_classes_level_start, \
-            m2l_translation_classes_dependent_data_view = \
-                self.m2l_translation_classes_dependent_data_view(
-                        m2l_translation_classes_dependent_data, lev)
-        kwargs_for_m2l["m2l_translation_classes_dependent_data"] = \
-            m2l_translation_classes_dependent_data_view
-        kwargs_for_m2l["translation_classes_level_start"] = \
-            translation_classes_level_start
-        kwargs_for_m2l["m2l_translation_classes_lists"] = \
-            self.translation_classes_data.from_sep_siblings_translation_classes
-
-    def multipole_to_local(self,
+
+        assert self.translation_classes_data is not None
+        m2l_translation_classes_dependent_data = self.multipole_to_local_precompute()
+        translation_classes_level_start, m2l_translation_classes_dependent_data_view = (
+            self.m2l_translation_classes_dependent_data_view(
+                m2l_translation_classes_dependent_data, lev))
+
+        kwargs_for_m2l["m2l_translation_classes_dependent_data"] = (
+            m2l_translation_classes_dependent_data_view)
+        kwargs_for_m2l["translation_classes_level_start"] = (
+            translation_classes_level_start)
+        kwargs_for_m2l["m2l_translation_classes_lists"] = (
+            self.translation_classes_data.from_sep_siblings_translation_classes)
+
+    @override
+    def multipole_to_local(
+            self,
             actx: ArrayContext,
-            level_start_target_box_nrs,
-            target_boxes, src_box_starts, src_box_lists,
-            mpole_exps):
+            level_start_target_or_target_parent_box_nrs: Array,
+            target_or_target_parent_boxes: Array,
+            starts: Array,
+            lists: Array,
+            mpole_exps: Array) -> Array:
 
         local_exps = self.local_expansion_zeros(actx)
-        level_start_target_box_nrs = actx.to_numpy(level_start_target_box_nrs)
+        level_start_target_box_nrs = (
+            actx.to_numpy(level_start_target_or_target_parent_box_nrs))
 
         if self.tree_indep.m2l_translation.use_preprocessing:
             preprocessed_mpole_exps = (
@@ -852,8 +926,7 @@ def multipole_to_local(self,
                             inverse=False, wait_for=wait_for)
 
             order = self.level_orders[lev]
-            m2l = self.tree_indep.m2l(order, order,
-                    self.supports_translation_classes)
+            m2l = self.tree_indep.m2l(order, order, self.supports_translation_classes)
 
             source_level_start_ibox, source_mpoles_view = \
                     mpole_exps_view_func(preprocessed_mpole_exps, lev)
@@ -866,9 +939,9 @@ def multipole_to_local(self,
                     tgt_expansions=target_locals_view,
                     tgt_base_ibox=target_level_start_ibox,
 
-                    target_boxes=target_boxes[start:stop],
-                    src_box_starts=src_box_starts[start:stop+1],
-                    src_box_lists=src_box_lists,
+                    target_boxes=target_or_target_parent_boxes[start:stop],
+                    src_box_starts=starts[start:stop+1],
+                    src_box_lists=lists,
                     centers=self.tree.box_centers,
 
                     src_rscale=self.level_to_rscale(lev),
@@ -877,10 +950,11 @@ def multipole_to_local(self,
                     **self.kernel_extra_kwargs)
 
             self._add_m2l_precompute_kwargs(kwargs, lev)
-            if "m2l_translation_classes_dependent_data" in kwargs and \
-                    kwargs["m2l_translation_classes_dependent_data"].size == 0:
+            if ("m2l_translation_classes_dependent_data" in kwargs
+                    and kwargs["m2l_translation_classes_dependent_data"].size == 0):
                 # There is nothing to do for this level
                 continue
+
             m2l(actx, **kwargs, wait_for=wait_for)
 
             if self.tree_indep.m2l_translation.use_preprocessing:
@@ -892,8 +966,7 @@ def multipole_to_local(self,
                         self.local_expansions_view(local_exps, lev)
 
                 _, target_locals_before_postprocessing_view = \
-                        self.m2l_work_array_view(
-                                m2l_work_array, lev)
+                        self.m2l_work_array_view(m2l_work_array, lev)
 
                 tr_classes = self.m2l_translation_class_level_start_box_nrs()
                 if tr_classes[lev] == tr_classes[lev + 1]:
@@ -919,16 +992,20 @@ def multipole_to_local(self,
 
         return local_exps
 
-    def eval_multipoles(self,
+    @override
+    def eval_multipoles(
+            self,
             actx: ArrayContext,
-            target_boxes_by_source_level, source_boxes_by_level, mpole_exps):
+            target_boxes_by_source_level: obj_array.ObjectArray1D[Array],
+            from_sep_smaller_by_level: obj_array.ObjectArray1D[BuiltList],
+            mpole_exps: Array) -> PotentialArray:
         pot = self.output_zeros(actx)
 
         kwargs = dict(self.kernel_extra_kwargs)
         kwargs.update(self.box_target_list_kwargs())
 
         wait_for = mpole_exps.events
-        for isrc_level, ssn in enumerate(source_boxes_by_level):
+        for isrc_level, ssn in enumerate(from_sep_smaller_by_level):
             if len(target_boxes_by_source_level[isrc_level]) == 0:
                 continue
 
@@ -955,15 +1032,21 @@ def eval_multipoles(self,
 
                     **kwargs)
 
-            for pot_i, pot_res_i in zip(pot, pot_res, strict=True):
-                assert pot_i is pot_res_i
+            if __debug__:
+                for pot_i, pot_res_i in zip(pot, pot_res, strict=True):
+                    assert pot_i is pot_res_i
 
         return pot
 
-    def form_locals(self,
+    @override
+    def form_locals(
+            self,
             actx: ArrayContext,
-            level_start_target_or_target_parent_box_nrs,
-            target_or_target_parent_boxes, starts, lists, src_weight_vecs):
+            level_start_target_or_target_parent_box_nrs: Array,
+            target_or_target_parent_boxes: Array,
+            starts: Array,
+            lists: Array,
+            src_weight_vecs: Sequence[Array]) -> Array:
         local_exps = self.local_expansion_zeros(actx)
         level_start_target_or_target_parent_box_nrs = (
             actx.to_numpy(level_start_target_or_target_parent_box_nrs))
@@ -1001,11 +1084,13 @@ def form_locals(self,
 
         return local_exps
 
-    def refine_locals(self,
+    @override
+    def refine_locals(
+            self,
             actx: ArrayContext,
-            level_start_target_or_target_parent_box_nrs,
-            target_or_target_parent_boxes,
-            local_exps):
+            level_start_target_or_target_parent_box_nrs: Array,
+            target_or_target_parent_boxes: Array,
+            local_exps: Array) -> Array:
         level_start_target_or_target_parent_box_nrs = (
             actx.to_numpy(level_start_target_or_target_parent_box_nrs))
 
@@ -1044,9 +1129,13 @@ def refine_locals(self,
 
         return local_exps
 
-    def eval_locals(self,
+    @override
+    def eval_locals(
+            self,
             actx: ArrayContext,
-            level_start_target_box_nrs, target_boxes, local_exps):
+            level_start_target_box_nrs: Array,
+            target_boxes: Array,
+            local_exps: Array) -> PotentialArray:
         pot = self.output_zeros(actx)
         level_start_target_box_nrs = actx.to_numpy(level_start_target_box_nrs)
 
@@ -1082,7 +1171,10 @@ def eval_locals(self,
 
         return pot
 
-    def finalize_potentials(self, actx: ArrayContext, potentials):
+    @override
+    def finalize_potentials(
+            self, actx: ArrayContext, potentials: PotentialArray,
+        ) -> PotentialArray:
         return potentials
 
 # }}}
@@ -1090,7 +1182,10 @@ def finalize_potentials(self, actx: ArrayContext, potentials):
 
 # {{{ build_csr_level_starts
 
-def build_csr_level_starts(level_orders, order_to_size, level_starts):
+def build_csr_level_starts(
+        level_orders: Sequence[int],
+        order_to_size: Callable[[int], int],
+        level_starts: onp.Array1D[np.integer[Any]]) -> Sequence[int]:
     """Given a list of starts of boxes for each level and a callable
     that outputs the length of an expansion for a level, return
     a list of starts of an expansion for each level.
@@ -1108,9 +1203,7 @@ def build_csr_level_starts(level_orders, order_to_size, level_starts):
         lev_nboxes = level_starts[lev+1] - level_starts[lev]
 
         expn_size = order_to_size(level_orders[lev])
-        result.append(
-                result[-1]
-                + expn_size * lev_nboxes)
+        result.append(result[-1] + expn_size * lev_nboxes)
 
     return result
 

From 75211a79459474f8a4e44f3002397d248a13d68e Mon Sep 17 00:00:00 2001
From: Alexandru Fikl <alexfikl@gmail.com>
Date: Wed, 19 Aug 2026 14:54:19 +0300
Subject: [PATCH 02/10] feat(typing): add type annotations to __init__.py

---
 sumpy/__init__.py | 50 ++++++++++++++++++++++++++++++++---------------
 1 file changed, 34 insertions(+), 16 deletions(-)

diff --git a/sumpy/__init__.py b/sumpy/__init__.py
index f2dc45ab..5e55022d 100644
--- a/sumpy/__init__.py
+++ b/sumpy/__init__.py
@@ -44,6 +44,7 @@
 
 
 if TYPE_CHECKING:
+    import types
     from collections.abc import Hashable
 
     import loopy as lp
@@ -72,15 +73,13 @@
 
 # {{{ optimization control
 
-OPT_ENABLED = True
-
 OPT_ENABLED = "SUMPY_NO_OPT" not in os.environ
 
 
-def set_optimization_enabled(flag):
+def set_optimization_enabled(flag: bool) -> None:
     """Set whether the :mod:`loopy` kernels should be optimized."""
     global OPT_ENABLED
-    OPT_ENABLED = flag
+    OPT_ENABLED = flag  # pyright: ignore[reportConstantRedefinition]
 
 # }}}
 
@@ -91,17 +90,16 @@ def set_optimization_enabled(flag):
     "SUMPY_NO_CACHE" not in os.environ
     and "CG_NO_CACHE" not in os.environ)
 
-NO_CACHE_KERNELS = tuple(os.environ.get("SUMPY_NO_CACHE_KERNELS",
-                                        "").split(","))
+NO_CACHE_KERNELS = tuple(os.environ.get("SUMPY_NO_CACHE_KERNELS", "").split(","))
 
 
-def set_caching_enabled(flag, no_cache_kernels=()):
+def set_caching_enabled(flag: bool, no_cache_kernels: tuple[str, ...] = ()) -> None:
     """Set whether :mod:`loopy` is allowed to use disk caching for its various
     code generation stages.
     """
     global CACHING_ENABLED, NO_CACHE_KERNELS
-    NO_CACHE_KERNELS = no_cache_kernels
-    CACHING_ENABLED = flag
+    NO_CACHE_KERNELS = no_cache_kernels  # pyright: ignore[reportConstantRedefinition]
+    CACHING_ENABLED = flag  # pyright: ignore[reportConstantRedefinition]
 
 
 class CacheMode:
@@ -109,18 +107,38 @@ class CacheMode:
     disk caches.
     """
 
-    def __init__(self, new_flag, new_no_cache_kernels=()):
+    new_flag: bool
+    previous_flag: bool | None
+
+    new_no_cache_kernels: tuple[str, ...]
+    previous_no_cache_kernels: tuple[str, ...] | None
+
+    def __init__(self,
+                 new_flag: bool,
+                 new_no_cache_kernels: tuple[str, ...] = ()) -> None:
         self.new_flag = new_flag
+        self.previous_flag = None
         self.new_no_cache_kernels = new_no_cache_kernels
+        self.previous_no_cache_kernels = None
+
+    def __enter__(self) -> None:
+        if self.previous_flag is not None or self.previous_no_cache_kernels is not None:
+            raise RuntimeError("cannot reuse the 'CacheMode' context manager")
 
-    def __enter__(self):
         self.previous_flag = CACHING_ENABLED
-        self.previous_kernels = NO_CACHE_KERNELS
+        self.previous_no_cache_kernels = NO_CACHE_KERNELS
         set_caching_enabled(self.new_flag, self.new_no_cache_kernels)
 
-    def __exit__(self, exc_type, exc_val, exc_tb):
-        set_caching_enabled(self.previous_flag, self.previous_kernels)
-        del self.previous_flag
-        del self.previous_kernels
+    def __exit__(self,
+                 exc_type: type[BaseException] | None,
+                 exc_val: BaseException | None,
+                 exc_tb: types.TracebackType | None) -> None:
+        if self.previous_flag is None or self.previous_no_cache_kernels is None:
+            raise RuntimeError("cannot reuse the 'CacheMode' context manager")
+
+        set_caching_enabled(self.previous_flag, self.previous_no_cache_kernels)
+
+        self.previous_flag = None
+        self.previous_no_cache_kernels = None
 
 # }}}

From 1a9b6093e65e7f8868a53399aef3127875581d37 Mon Sep 17 00:00:00 2001
From: Alexandru Fikl <alexfikl@gmail.com>
Date: Wed, 19 Aug 2026 14:54:37 +0300
Subject: [PATCH 03/10] feat(typing): improve type annotations for tools.py

---
 sumpy/tools.py | 208 ++++++++++++++++++++++++++++++-------------------
 1 file changed, 127 insertions(+), 81 deletions(-)

diff --git a/sumpy/tools.py b/sumpy/tools.py
index 6a5d2f41..2a71790c 100644
--- a/sumpy/tools.py
+++ b/sumpy/tools.py
@@ -40,7 +40,6 @@
 
 import loopy as lp
 from pymbolic.mapper.dependency import DependencyMapper
-from pyopencl.characterize import get_pocl_version
 from pytools import T, memoize_method
 from pytools.tag import Tag, tag_dataclass
 
@@ -49,14 +48,16 @@
 
 
 if TYPE_CHECKING:
-    import numpy
     from numpy.typing import DTypeLike
     from optype.numpy import Array2D
+    from pyvkfft.opencl import VkFFTApp
 
     import pyopencl
     from arraycontext import ArrayContext
     from pymbolic.primitives import Variable
     from pymbolic.typing import Expression
+    from pyopencl.array import Array as CLArray
+    from pyopencl.typing import WaitList
 
     from sumpy.assignment_collection import SymbolicAssignmentCollection
     from sumpy.expansion import ExpansionBase
@@ -276,19 +277,28 @@ class ScalingAssignmentTag(Tag):
 class KernelComputation(ABC):
     """Common input processing for kernel computations.
 
-    .. attribute:: name
-    .. attribute:: target_kernels
-    .. attribute:: source_kernels
-    .. attribute:: strength_usage
+    .. autoattribute:: name
+    .. autoattribute:: target_kernels
+    .. autoattribute:: source_kernels
+    .. autoattribute:: strength_usage
+    .. autoattribute:: strength_count
 
     .. automethod:: get_kernel
     """
 
+    name: str
+    target_kernels: tuple[ScalarKernel, ...]
+    source_kernels: tuple[ScalarKernel, ...]
+    value_dtypes: tuple[np.dtype[Any], ...]
+
+    strength_usage: tuple[int, ...]
+    strength_count: int
+
     def __init__(self,
-            target_kernels: list[ScalarKernel],
-            source_kernels: list[ScalarKernel],
-            strength_usage: list[int] | None = None,
-            value_dtypes: list[numpy.dtype[Any]] | None = None,
+            target_kernels: Sequence[ScalarKernel],
+            source_kernels: Sequence[ScalarKernel],
+            strength_usage: Sequence[int] | None = None,
+            value_dtypes: Sequence[DTypeLike] | DTypeLike | None = None,
             name: str | None = None) -> None:
         """
         :arg target_kernels: list of :class:`~sumpy.kernel.ScalarKernel` instances,
@@ -313,9 +323,9 @@ def __init__(self,
                 else:
                     value_dtypes.append(np.dtype(np.float64))
 
-        if not isinstance(value_dtypes, Sequence):
+        if isinstance(value_dtypes, str) or not isinstance(value_dtypes, Sequence):
             value_dtypes = [np.dtype(value_dtypes)] * len(target_kernels)
-        value_dtypes = [np.dtype(vd) for vd in value_dtypes]
+        value_dtypes = tuple(np.dtype(vd) for vd in value_dtypes)
 
         # }}}
 
@@ -333,13 +343,13 @@ def __init__(self,
         self.source_kernels = tuple(source_kernels)
         self.target_kernels = tuple(target_kernels)
         self.value_dtypes = value_dtypes
-        self.strength_usage = strength_usage
+        self.strength_usage = tuple(strength_usage)
         self.strength_count = strength_count
 
         self.name = name or self.default_name
 
     @property
-    def nresults(self):
+    def nresults(self) -> int:
         return len(self.target_kernels)
 
     @property
@@ -347,7 +357,7 @@ def nresults(self):
     def default_name(self) -> str:
         pass
 
-    def get_kernel_scaling_assignments(self):
+    def get_kernel_scaling_assignments(self) -> Sequence[lp.Assignment]:
         from sumpy.symbolic import SympyToPymbolicMapper
         sympy_conv = SympyToPymbolicMapper()
 
@@ -472,11 +482,15 @@ def get_optimized_kernel(self, **kwargs: Any) -> lp.TranslationUnit:
         ...
 
     @memoize_method
-    def get_cached_kernel(self, **kwargs) -> lp.TranslationUnit:
+    def get_cached_kernel(self, **kwargs: Any) -> lp.TranslationUnit:
         from sumpy import CACHING_ENABLED, NO_CACHE_KERNELS, OPT_ENABLED, code_cache
 
-        if CACHING_ENABLED and not (
-                NO_CACHE_KERNELS and self.name in NO_CACHE_KERNELS):
+        cache_key = None
+        caching_enabled = (
+            CACHING_ENABLED
+            and not (NO_CACHE_KERNELS and self.name in NO_CACHE_KERNELS))
+
+        if caching_enabled:
             import loopy.version
 
             from sumpy.version import KERNEL_VERSION
@@ -495,10 +509,8 @@ def get_cached_kernel(self, **kwargs) -> lp.TranslationUnit:
                 pass
 
         logger.info("%s: kernel cache miss", self.name)
-        if CACHING_ENABLED and not (
-                NO_CACHE_KERNELS and self.name in NO_CACHE_KERNELS):
-            logger.info("%s: kernel cache miss [key=%s]",
-                self.name, cache_key)
+        if caching_enabled:
+            logger.info("%s: kernel cache miss [key=%s]", self.name, cache_key)
 
         from pytools import MinRecursionLimit
         with MinRecursionLimit(3000):
@@ -507,8 +519,7 @@ def get_cached_kernel(self, **kwargs) -> lp.TranslationUnit:
             else:
                 knl = self.get_kernel()
 
-        if CACHING_ENABLED and not (
-                NO_CACHE_KERNELS and self.name in NO_CACHE_KERNELS):
+        if caching_enabled:
             code_cache.store_if_not_present(cache_key, knl)
 
         return knl
@@ -525,15 +536,18 @@ def _allow_redundant_execution_of_knl_scaling(
 KernelCacheWrapper = KernelCacheMixin
 
 
-def is_obj_array_like(ary):
+def is_obj_array_like(ary: object) -> bool:
     return (
-            isinstance(ary, tuple | list)
-            or (isinstance(ary, np.ndarray) and ary.dtype.char == "O"))
+        isinstance(ary, (tuple, list))
+        or (isinstance(ary, np.ndarray) and ary.dtype.char == "O")
+    )
 
 
 # {{{ matrices
 
-def reduced_row_echelon_form(m: Array2D[Any], atol: float = 0):
+def reduced_row_echelon_form(
+        m: Array2D[Any], atol: float = 0,
+    ) -> tuple[Array2D[Any], Sequence[int]]:
     """Calculates a reduced row echelon form of a
     matrix `m`.
 
@@ -544,10 +558,11 @@ def reduced_row_echelon_form(m: Array2D[Any], atol: float = 0):
     """
 
     mat = np.array(m, dtype=object)
+    nrows = int(mat.shape[0])
+    ncols = int(mat.shape[1])
+
     index = 0
-    nrows = mat.shape[0]
-    ncols = mat.shape[1]
-    pivot_cols = []
+    pivot_cols: list[int] = []
     for i in range(ncols):
         if index == nrows:
             break
@@ -574,7 +589,7 @@ def reduced_row_echelon_form(m: Array2D[Any], atol: float = 0):
         if isinstance(scale, int | sym.Integer):
             scale = int(scale)
 
-        for j in range(mat.shape[1]):
+        for j in range(ncols):
             elem = mat[index, j]
             if isinstance(scale, int) and isinstance(elem, int | sym.Integer):
                 quo = int(elem) // scale
@@ -596,7 +611,7 @@ def reduced_row_echelon_form(m: Array2D[Any], atol: float = 0):
     return mat, pivot_cols
 
 
-def nullspace(m: Array2D[Any], atol: float = 0):
+def nullspace(m: Array2D[Any], atol: float = 0) -> Array2D[Any]:
     """Calculates the nullspace of a matrix `m`.
 
     :arg m: a 2D :class:`numpy.ndarray` or a list of lists or a sympy Matrix
@@ -609,7 +624,7 @@ def nullspace(m: Array2D[Any], atol: float = 0):
 
     free_vars = [i for i in range(cols) if i not in pivot_cols]
 
-    n = []
+    n: list[list[Any]] = []
     for free_var in free_vars:
         vec = [0]*cols
         vec[free_var] = 1
@@ -620,6 +635,7 @@ def nullspace(m: Array2D[Any], atol: float = 0):
                 else:
                     vec[piv_col] -= mat[piv_row, pos]
         n.append(vec)
+
     return np.array(n, dtype=object).T
 
 # }}}
@@ -717,61 +733,85 @@ def to_complex_dtype(dtype: DTypeLike) -> np.dtype[np.complexfloating]:
         raise RuntimeError(f"Unknown dtype: {dtype}") from err
 
 
+def get_native_event(evt: pyopencl.Event | ProfilingEvent) -> pyopencl.Event:
+    from pyopencl import Event
+    return evt if isinstance(evt, Event) else evt.native_event
+
+
 @dataclass(frozen=True)
 class ProfileGetter:
+    """Workalike for :class:`pyopencl.ProfilingInfoGetter`."""
     start: int
     end: int
 
 
-def get_native_event(evt):
-    from pyopencl import Event
-    return evt if isinstance(evt, Event) else evt.native_event
+@dataclass(frozen=True)
+class ProfilingEvent:
+    """An event generated during profiling.
+
+    This object also provides some compatibility with :class:`pyopencl.Event`.
+    """
+    native_event: pyopencl.Event
+
+    @property
+    def profile(self) -> ProfileGetter:
+        raise AttributeError("profile")
 
+    def wait(self) -> None:
+        self.native_event.wait()
+
+
+@dataclass(frozen=True)
+class AggregateProfilingEvent(ProfilingEvent):
+    """An object to hold a list of events.
 
-class AggregateProfilingEvent:
-    """An object to hold a list of events and provides compatibility
-    with some of the functionality of :class:`pyopencl.Event`.
     Assumes that the last event waits on all of the previous events.
     """
-    def __init__(self, events):
-        self.events = events[:]
-        self.native_event = get_native_event(events[-1])
+
+    events: tuple[ProfilingEvent | pyopencl.Event, ...]
+
+    def __init__(self, events: Sequence[ProfilingEvent | pyopencl.Event]) -> None:
+        super().__init__(get_native_event(events[-1]))
+        object.__setattr__(self, "events", tuple(events))
 
     @property
-    def profile(self):
+    @override
+    def profile(self) -> ProfileGetter:
         total = sum(evt.profile.end - evt.profile.start for evt in self.events)
         end = self.native_event.profile.end
         return ProfileGetter(start=end - total, end=end)
 
-    def wait(self):
-        return self.native_event.wait()
 
+@dataclass(frozen=True)
+class MarkerBasedProfilingEvent(ProfilingEvent):
+    """An object to hold two marker events."""
 
-class MarkerBasedProfilingEvent:
-    """An object to hold two marker events and provides compatibility
-    with some of the functionality of :class:`pyopencl.Event`.
-    """
-    def __init__(self, *, end_event, start_event):
-        self.native_event = end_event
-        self.start_event = start_event
+    start_event: pyopencl.Event | ProfilingEvent
+    end_event: pyopencl.Event | ProfilingEvent
+
+    def __init__(self, *,
+                 end_event: pyopencl.Event | ProfilingEvent,
+                 start_event: pyopencl.Event | ProfilingEvent) -> None:
+        super().__init__(get_native_event(end_event))
+        object.__setattr__(self, "end_event", end_event)
+        object.__setattr__(self, "start_event", start_event)
 
     @property
+    @override
     def profile(self):
         return ProfileGetter(start=self.start_event.profile.start,
                              end=self.native_event.profile.end)
 
-    def wait(self):
-        return self.native_event.wait()
-
 
 def loopy_fft(
-            n: int,
-            *, n_batch_dims: int,
-            inverse: bool,
-            complex_dtype: DTypeLike,
-            index_dtype: DTypeLike | None = None,
-            name: str | None = None
-        ):
+        n: int,
+        *,
+        n_batch_dims: int,
+        inverse: bool,
+        complex_dtype: DTypeLike,
+        index_dtype: DTypeLike | None = None,
+        name: str | None = None
+    ) -> lp.TranslationUnit:
     from math import pi
 
     from pymbolic import var
@@ -782,7 +822,7 @@ def loopy_fft(
     sign = 1 if not inverse else -1
 
     m = n
-    factors = []
+    factors: list[int] = []
     while m != 1:
         N1, m = find_factors(m)  # ruff:ignore[non-lowercase-variable-in-function]
         factors.append(N1)
@@ -967,10 +1007,12 @@ def _get_fft_backend(queue: pyopencl.CommandQueue) -> FFTBackend:
             "Falling back to slower implementation.", stacklevel=3)
         return FFTBackend.loopy
 
+    from pyopencl.characterize import get_pocl_version
+    pocl_ver = get_pocl_version(queue.device.platform)
+
     import platform
     import sys
 
-    pocl_ver = get_pocl_version(queue.device.platform)
     if pocl_ver is not None:
         if pocl_ver >= (7,):
             warnings.warn(
@@ -993,8 +1035,8 @@ def _get_fft_backend(queue: pyopencl.CommandQueue) -> FFTBackend:
 def get_opencl_fft_app(
         actx: ArrayContext,
         shape: tuple[int, ...],
-        dtype: numpy.dtype[Any],
-        inverse: bool) -> Any:
+        dtype: np.dtype[Any],
+        inverse: bool) -> tuple[lp.TranslationUnit | VkFFTApp, FFTBackend]:
     """Setup an object for out-of-place FFT on with given shape and dtype
     on given queue.
     """
@@ -1022,11 +1064,11 @@ def get_opencl_fft_app(
 
 def run_opencl_fft(
         actx: ArrayContext,
-        fft_app: tuple[Any, FFTBackend],
-        input_vec: Any,
+        fft_app: tuple[lp.TranslationUnit | VkFFTApp, FFTBackend],
+        input_vec: CLArray,
         inverse: bool = False,
-        wait_for: list[pyopencl.Event] | None = None
-    ) -> tuple[pyopencl.Event | MarkerBasedProfilingEvent, Any]:
+        wait_for: WaitList | None = None
+    ) -> tuple[pyopencl.Event | MarkerBasedProfilingEvent, CLArray]:
     """Runs an FFT on input_vec and returns a :class:`MarkerBasedProfilingEvent`
     that indicate the end and start of the operations carried out and the output
     vector.
@@ -1037,9 +1079,13 @@ def run_opencl_fft(
     app, backend = fft_app
 
     if backend == FFTBackend.loopy:
+        assert isinstance(app, lp.TranslationUnit)
         evt, output_vec = app(actx.queue, y=input_vec, wait_for=wait_for)
         return (evt, output_vec["x"])
     elif backend == FFTBackend.pyvkfft:
+        from pyvkfft.opencl import VkFFTApp
+        assert isinstance(app, VkFFTApp)
+
         if wait_for is None:
             wait_for = []
 
@@ -1075,7 +1121,8 @@ def run_opencl_fft(
 
         output_vec.add_event(end_evt)
 
-        return (MarkerBasedProfilingEvent(end_event=end_evt, start_event=start_evt),
+        return (
+            MarkerBasedProfilingEvent(end_event=end_evt, start_event=start_evt),
             output_vec)
     else:
         raise RuntimeError(f"Unsupported FFT backend {backend}")
@@ -1086,19 +1133,18 @@ def run_opencl_fft(
 # {{{ deprecations
 
 _depr_name_to_replacement_and_obj = {
-    "KernelCacheWrapper": ("KernelCacheMixin", 2023),
+    "KernelCacheWrapper": (KernelCacheMixin, 2023),
     }
 
 
-def __getattr__(name: str):
-    replacement_and_obj = _depr_name_to_replacement_and_obj.get(name)
-    if replacement_and_obj is not None:
-        replacement, obj, year = replacement_and_obj
+def __getattr__(name: str) -> Any:
+    replacement_and_year = _depr_name_to_replacement_and_obj.get(name)
+    if replacement_and_year is not None:
+        obj, year = replacement_and_year
         from warnings import warn
-        warn(f"'sumpy.tools.{name}' is deprecated. "
-                f"Use '{replacement}' instead. "
-                f"'sumpy.tools.{name}' will continue to work until {year}.",
-                DeprecationWarning, stacklevel=2)
+        warn(f"'sumpy.tools.{name}' is deprecated. Use '{obj.__name__}' instead. "
+             f"'sumpy.tools.{name}' will continue to work until {year}.",
+             DeprecationWarning, stacklevel=2)
         return obj
     else:
         raise AttributeError(name)

From 15492dc193fae92eda182473823e5fbf649217cc Mon Sep 17 00:00:00 2001
From: Alexandru Fikl <alexfikl@gmail.com>
Date: Fri, 14 Aug 2026 11:18:29 +0300
Subject: [PATCH 04/10] fix: add boxtree to first-party imports

---
 pyproject.toml         | 1 +
 sumpy/array_context.py | 2 +-
 sumpy/distributed.py   | 1 -
 sumpy/fmm.py           | 4 ++--
 4 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index aa46d6a1..9387d35a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -119,6 +119,7 @@ known-first-party = [
     "loopy",
     "pymbolic",
     "pyopencl",
+    "boxtree",
     "pytools",
 ]
 known-local-folder = [
diff --git a/sumpy/array_context.py b/sumpy/array_context.py
index c305fadc..873e5cf1 100644
--- a/sumpy/array_context.py
+++ b/sumpy/array_context.py
@@ -25,7 +25,6 @@
 
 from typing import TYPE_CHECKING, Any
 
-from boxtree.array_context import PyOpenCLArrayContext as PyOpenCLArrayContextBase
 from typing_extensions import override
 
 import loopy as lp
@@ -33,6 +32,7 @@
     _PytestPyOpenCLArrayContextFactoryWithClass,
     register_pytest_array_context_factory,
 )
+from boxtree.array_context import PyOpenCLArrayContext as PyOpenCLArrayContextBase
 
 
 if TYPE_CHECKING:
diff --git a/sumpy/distributed.py b/sumpy/distributed.py
index b6f6e110..30df0749 100644
--- a/sumpy/distributed.py
+++ b/sumpy/distributed.py
@@ -26,7 +26,6 @@
 from typing import TYPE_CHECKING
 
 from boxtree.distributed.calculation import DistributedExpansionWranglerMixin
-
 from pytools import obj_array
 
 from sumpy.fmm import SumpyExpansionWrangler
diff --git a/sumpy/fmm.py b/sumpy/fmm.py
index fa226074..d5a78dd6 100644
--- a/sumpy/fmm.py
+++ b/sumpy/fmm.py
@@ -42,14 +42,14 @@
 from typing import TYPE_CHECKING, Any, Protocol, TypeAlias
 
 import numpy as np
+from typing_extensions import override
+
 from boxtree.fmm import (
     ExpansionWranglerInterface,
     PotentialArray,
     TreeIndependentDataForWrangler,
 )
 from boxtree.tree import Tree
-from typing_extensions import override
-
 from pytools import memoize_in, memoize_method, obj_array
 
 from sumpy import (

From 2d17d3c4b4b6a4a479d03ac66f59792101953449 Mon Sep 17 00:00:00 2001
From: Alexandru Fikl <alexfikl@gmail.com>
Date: Wed, 19 Aug 2026 21:22:17 +0300
Subject: [PATCH 05/10] docs: fix from type annotations in fmm

---
 doc/conf.py    | 9 ++++++++-
 sumpy/tools.py | 9 +++++++++
 2 files changed, 17 insertions(+), 1 deletion(-)

diff --git a/doc/conf.py b/doc/conf.py
index e21a5e1f..e0983c05 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -13,15 +13,16 @@
 intersphinx_mapping = {
     "arraycontext": ("https://documen.tician.de/arraycontext/", None),
     "boxtree": ("https://documen.tician.de/boxtree/", None),
-    "namedisl": ("https://documen.tician.de/namedisl", None),
     "loopy": ("https://documen.tician.de/loopy/", None),
     "matplotlib": ("https://matplotlib.org/stable/", None),
+    "namedisl": ("https://documen.tician.de/namedisl", None),
     "numpy": ("https://numpy.org/doc/stable/", None),
     "pymbolic": ("https://documen.tician.de/pymbolic/", None),
     "pyopencl": ("https://documen.tician.de/pyopencl/", None),
     "pytential": ("https://documen.tician.de/pytential/", None),
     "python": ("https://docs.python.org/3/", None),
     "pytools": ("https://documen.tician.de/pytools/", None),
+    "pyvkfft": ("https://pyvkfft.readthedocs.io/en/latest/", None),
     "sympy": ("https://docs.sympy.org/latest/", None),
 }
 
@@ -57,6 +58,11 @@
     # pymbolic
     "ArithmeticExpression": "obj:pymbolic.ArithmeticExpression",
     "Expression": "obj:pymbolic.typing.Expression",
+    # pyopencl
+    "CLArray": "class:pyopencl.array.Array",
+    "WaitList": "obj:pyopencl.WaitList",
+    # pyvkfft
+    "VkFFTApp": "class:pyvkfft.base.VkFFTApp",
     # namedisl
     "nisl.Set": "class:namedisl.Set",
     # loopy
@@ -71,6 +77,7 @@
     # sumpy
     "ArithmeticExpr": "obj:sumpy.kernel.ArithmeticExpr",
     "OptimizationPair": "obj:sumpy.cse.OptimizationPair",
+    "TranslationClassesInfo": "class:boxtree.translation_classes.TranslationClassesInfo",  # ruff: ignore[line-too-long]
 }
 
 
diff --git a/sumpy/tools.py b/sumpy/tools.py
index 2a71790c..665a5f24 100644
--- a/sumpy/tools.py
+++ b/sumpy/tools.py
@@ -123,8 +123,17 @@
 
 .. autofunction:: get_native_event
 .. autoclass:: ProfileGetter
+.. autoclass:: ProfilingEvent
+    :members:
+    :undoc-members:
 .. autoclass:: AggregateProfilingEvent
+    :show-inheritance:
+    :members:
+    :undoc-members:
 .. autoclass:: MarkerBasedProfilingEvent
+    :show-inheritance:
+    :members:
+    :undoc-members:
 
 References
 ----------

From f12401e76d832b2c6698198e969c48b720fcad88 Mon Sep 17 00:00:00 2001
From: Alexandru Fikl <alexfikl@gmail.com>
Date: Thu, 20 Aug 2026 09:17:30 +0300
Subject: [PATCH 06/10] chore: add pyvkfft dependency for typing

---
 pyproject.toml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 9387d35a..41e4520a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -46,7 +46,8 @@ dev = [
     {include-group = "lint"},
 ]
 type = [
-    "optype"
+    "optype",
+    "pyvkfft>=2024.1",
 ]
 lint = [
     # https://github.com/astral-sh/ruff/issues/16943

From b9abe1fc8a4fc5f7fb701f1d60e808822ac3ab9a Mon Sep 17 00:00:00 2001
From: Alexandru Fikl <alexfikl@gmail.com>
Date: Thu, 20 Aug 2026 09:19:48 +0300
Subject: [PATCH 07/10] chore: remove deprecated KernelCacheWrapper

---
 sumpy/tools.py | 21 ---------------------
 1 file changed, 21 deletions(-)

diff --git a/sumpy/tools.py b/sumpy/tools.py
index 665a5f24..8c734c10 100644
--- a/sumpy/tools.py
+++ b/sumpy/tools.py
@@ -1139,25 +1139,4 @@ def run_opencl_fft(
 # }}}
 
 
-# {{{ deprecations
-
-_depr_name_to_replacement_and_obj = {
-    "KernelCacheWrapper": (KernelCacheMixin, 2023),
-    }
-
-
-def __getattr__(name: str) -> Any:
-    replacement_and_year = _depr_name_to_replacement_and_obj.get(name)
-    if replacement_and_year is not None:
-        obj, year = replacement_and_year
-        from warnings import warn
-        warn(f"'sumpy.tools.{name}' is deprecated. Use '{obj.__name__}' instead. "
-             f"'sumpy.tools.{name}' will continue to work until {year}.",
-             DeprecationWarning, stacklevel=2)
-        return obj
-    else:
-        raise AttributeError(name)
-
-# }}}
-
 # vim: fdm=marker

From 27731391e2925f0e0d9b8c3d2949f47732be106e Mon Sep 17 00:00:00 2001
From: Alexandru Fikl <alexfikl@gmail.com>
Date: Fri, 28 Aug 2026 10:25:58 +0300
Subject: [PATCH 08/10] feat: refactor fft apps

---
 sumpy/fmm.py   |  42 ++++++++++++++-----
 sumpy/tools.py | 107 ++++++++++++++++++++++++++-----------------------
 sumpy/toys.py  |   4 +-
 3 files changed, 91 insertions(+), 62 deletions(-)

diff --git a/sumpy/fmm.py b/sumpy/fmm.py
index d5a78dd6..8780180c 100644
--- a/sumpy/fmm.py
+++ b/sumpy/fmm.py
@@ -115,9 +115,11 @@ def __call__(self, order: int, *, use_rscale: bool = True) -> LocalExpansionBase
 
 class SumpyTreeIndependentDataForWrangler(TreeIndependentDataForWrangler):
     """Objects of this type serve as a place to keep the code needed
-    for :class:`SumpyExpansionWrangler`. Since :class:`SumpyExpansionWrangler`
-    contains data that is allowed to be more ephemeral than the code, the code's
-    lifetime is decoupled by storing it in this object.
+    for :class:`SumpyExpansionWrangler`.
+
+    Since :class:`SumpyExpansionWrangler` contains data that is allowed to be
+    more ephemeral than the code, the code's lifetime is decoupled by storing
+    it in this object.
     """
 
     multipole_expansion_factory: MultipoleExpansionFromOrderFactory
@@ -127,6 +129,7 @@ class SumpyTreeIndependentDataForWrangler(TreeIndependentDataForWrangler):
     exclude_self: bool
     use_rscale: bool | None
     strength_usage: Sequence[int] | None
+    fft_backend: FFTBackend | None
 
     def __init__(self,
                  array_context: ArrayContext,
@@ -136,7 +139,9 @@ def __init__(self,
                  exclude_self: bool = False,
                  use_rscale: bool | None = None,
                  strength_usage: Sequence[int] | None = None,
-                 source_kernels: Sequence[ScalarKernel] | None = None) -> None:
+                 source_kernels: Sequence[ScalarKernel] | None = None,
+                 fft_backend: FFTBackend | None = None,
+                 ) -> None:
         """
         :arg multipole_expansion_factory: a callable of a single argument (order)
             that returns a multipole expansion.
@@ -146,10 +151,16 @@ def __init__(self,
         :arg exclude_self: whether the self contribution should be excluded
         :arg strength_usage: passed unchanged to p2l, p2m and p2p.
         :arg source_kernels: passed unchanged to p2l, p2m and p2p.
+        :arg fft_backend: the FFT backend used for compressing M2L interactions.
+            If not provided, it will be determined at runtime for the given
+            array context.
         """
         super().__init__()
 
-        self._setup_actx: ArrayContext = array_context
+        from arraycontext import PyOpenCLArrayContext
+
+        assert isinstance(array_context, PyOpenCLArrayContext)
+        self._setup_actx: PyOpenCLArrayContext = array_context
 
         self.multipole_expansion_factory = multipole_expansion_factory
         self.local_expansion_factory = local_expansion_factory
@@ -158,6 +169,7 @@ def __init__(self,
         self.exclude_self = exclude_self
         self.use_rscale = use_rscale
         self.strength_usage = strength_usage
+        self.fft_backend = fft_backend
 
     @memoize_method
     def get_base_kernel(self) -> ScalarKernel:
@@ -262,14 +274,24 @@ def p2p(self) -> P2PBase:
 
     def opencl_fft_app(
             self,
+            *,
             shape: tuple[int, ...],
             dtype: np.dtype[Any],
-            inverse: bool) -> tuple[lp.TranslationUnit | VkFFTApp, FFTBackend]:
+            inverse: bool,
+        ) -> lp.TranslationUnit | VkFFTApp:
+        backend = self.fft_backend
+        if backend is None:
+            from sumpy.tools import _get_fft_backend
+            backend = _get_fft_backend(self._setup_actx.queue)
+
         @memoize_in(self._setup_actx, (
             SumpyTreeIndependentDataForWrangler.opencl_fft_app,
-            shape, dtype, inverse))
-        def app() -> tuple[lp.TranslationUnit | VkFFTApp, FFTBackend]:
-            return get_opencl_fft_app(self._setup_actx, shape, dtype, inverse=inverse)
+            shape, dtype, inverse, backend))
+        def app() -> lp.TranslationUnit | VkFFTApp:
+            return get_opencl_fft_app(
+                self._setup_actx, shape=shape, dtype=dtype, inverse=inverse,
+                backend=backend
+            )
 
         return app()
 
@@ -653,7 +675,7 @@ def run_opencl_fft(
             inverse: bool,
             wait_for: WaitList | None = None) -> Array:
         app = self.tree_indep.opencl_fft_app(
-            input_vec.shape, input_vec.dtype, inverse=inverse)
+            shape=input_vec.shape, dtype=input_vec.dtype, inverse=inverse)
         evt, result = run_opencl_fft(
             actx, app, input_vec, inverse=inverse, wait_for=wait_for)
 
diff --git a/sumpy/tools.py b/sumpy/tools.py
index 8c734c10..7fcffb40 100644
--- a/sumpy/tools.py
+++ b/sumpy/tools.py
@@ -985,96 +985,110 @@ def loopy_fft(
     return lp.linearize(knl)
 
 
+@enum.unique
 class FFTBackend(enum.Enum):
-    #: FFT backend based on the vkFFT library.
-    pyvkfft = 1
-    #: FFT backend based on :mod:`loopy` used as a fallback.
-    loopy = 2
+    """Supported FFT backends."""
+
+    PYVKFFT = enum.auto()
+    """FFT backend based on the vkFFT library."""
+    LOOPY = enum.auto()
+    """FFT backend based on :mod:`loopy` used as a fallback."""
 
 
 def _get_fft_backend(queue: pyopencl.CommandQueue) -> FFTBackend:
     import os
 
-    env_val = os.environ.get("SUMPY_FFT_BACKEND")
-    if env_val:
-        if env_val not in ["loopy", "pyvkfft"]:
-            raise ValueError("Expected 'loopy' or 'pyvkfft' for SUMPY_FFT_BACKEND. "
-                   f"Found {env_val}.")
-        return FFTBackend[env_val]
+    env_backend = os.environ.get("SUMPY_FFT_BACKEND")
+    if env_backend:
+        env_backend = env_backend.upper()
+        if env_backend not in (backends := {v.name for v in FFTBackend}):
+            raise ValueError(
+                "'SUMPY_FFT_BACKEND' environment variable has an unsupported value: "
+                f"{env_backend!r}. Supported backends are: {backends}"
+            )
+
+        return FFTBackend[env_backend]
 
     try:
         import pyvkfft.opencl  # ruff:ignore[unused-import]
     except ImportError:
-        warnings.warn("VkFFT not found. FFT runs will be slower.", stacklevel=3)
-        return FFTBackend.loopy
+        warnings.warn("VkFFT not found. FFT runs will use a slower built-in backend.",
+                      stacklevel=3)
+        return FFTBackend.LOOPY
 
     from pyopencl import command_queue_properties
 
     if queue.properties & command_queue_properties.OUT_OF_ORDER_EXEC_MODE_ENABLE:
         warnings.warn(
             "VkFFT does not support out of order queues yet. "
-            "Falling back to slower implementation.", stacklevel=3)
-        return FFTBackend.loopy
+            "Falling back to a slower built-in backend.", stacklevel=3)
+        return FFTBackend.LOOPY
 
     from pyopencl.characterize import get_pocl_version
     pocl_ver = get_pocl_version(queue.device.platform)
 
-    import platform
-    import sys
-
     if pocl_ver is not None:
+        import platform
+        import sys
+
         if pocl_ver >= (7,):
             warnings.warn(
                 "PoCL>=7 miscompiles VkFFT. "
                 "See https://github.com/pocl/pocl/issues/2069 for details. "
-                "Falling back to slower implementation.", stacklevel=3)
-            return FFTBackend.loopy
+                "Falling back to a slower built-in backend.", stacklevel=3)
+            return FFTBackend.LOOPY
 
-        if (sys.platform == "darwin"
-                and platform.machine() == "x86_64"):
+        if sys.platform == "darwin" and platform.machine() == "x86_64":
             warnings.warn(
                 "PoCL crashes on some VkFFT kernels on MacOS. "
                 "See https://github.com/inducer/sumpy/issues/129. "
                 "Falling back to slower implementation.", stacklevel=3)
-            return FFTBackend.loopy
+            return FFTBackend.LOOPY
 
-    return FFTBackend.pyvkfft
+    return FFTBackend.PYVKFFT
 
 
 def get_opencl_fft_app(
         actx: ArrayContext,
+        *,
         shape: tuple[int, ...],
         dtype: np.dtype[Any],
-        inverse: bool) -> tuple[lp.TranslationUnit | VkFFTApp, FFTBackend]:
-    """Setup an object for out-of-place FFT on with given shape and dtype
-    on given queue.
+        inverse: bool = False,
+        backend: FFTBackend | None = None,
+    ) -> lp.TranslationUnit | VkFFTApp:
+    """Setup an object for FFT computations.
+
+    :arg backend: if not provided, it will be automatically determined from the
+        given *actx*. A known faster backend will be preferred. This will first
+        check the ``SUMPY_FFT_BACKEND`` environment.
     """
     assert isinstance(actx, PyOpenCLArrayContext)
-    assert dtype.type in (np.float32, np.float64, np.complex64,
-                           np.complex128)
+    assert dtype.type in (np.float32, np.float64, np.complex64, np.complex128)
 
-    backend = _get_fft_backend(actx.queue)
+    if backend is None:
+        backend = _get_fft_backend(actx.queue)
 
-    if backend == FFTBackend.loopy:
+    if backend == FFTBackend.LOOPY:
         return loopy_fft(
             shape[-1],
             n_batch_dims=len(shape) - 1,
             inverse=inverse,
-            complex_dtype=dtype.type), backend
-    elif backend == FFTBackend.pyvkfft:
+            complex_dtype=dtype.type)
+    elif backend == FFTBackend.PYVKFFT:
         from pyvkfft.opencl import VkFFTApp
         app = VkFFTApp(
             shape=shape, dtype=dtype,  # pyright: ignore[reportArgumentType]
             queue=actx.queue, ndim=1, inplace=False)
-        return app, backend
+        return app
     else:
         raise RuntimeError(f"Unsupported FFT backend {backend}")
 
 
 def run_opencl_fft(
         actx: ArrayContext,
-        fft_app: tuple[lp.TranslationUnit | VkFFTApp, FFTBackend],
+        app: lp.TranslationUnit | VkFFTApp,
         input_vec: CLArray,
+        *,
         inverse: bool = False,
         wait_for: WaitList | None = None
     ) -> tuple[pyopencl.Event | MarkerBasedProfilingEvent, CLArray]:
@@ -1084,20 +1098,15 @@ def run_opencl_fft(
     Only supports in-order queues.
     """
     assert isinstance(actx, PyOpenCLArrayContext)
+    if wait_for is None:
+        wait_for = []
 
-    app, backend = fft_app
-
-    if backend == FFTBackend.loopy:
-        assert isinstance(app, lp.TranslationUnit)
+    if isinstance(app, lp.TranslationUnit):
         evt, output_vec = app(actx.queue, y=input_vec, wait_for=wait_for)
         return (evt, output_vec["x"])
-    elif backend == FFTBackend.pyvkfft:
-        from pyvkfft.opencl import VkFFTApp
-        assert isinstance(app, VkFFTApp)
-
-        if wait_for is None:
-            wait_for = []
 
+    from pyvkfft.opencl import VkFFTApp
+    if isinstance(app, VkFFTApp):
         import pyopencl as cl
 
         queue = actx.queue
@@ -1108,33 +1117,31 @@ def run_opencl_fft(
             for evt in wait_for:
                 if evt.command_queue != queue:
                     raise RuntimeError(
-                        "Different queues not supported with NVIDIA CUDA")
+                        "different queues not supported with NVIDIA CUDA")
             start_evt = cl.enqueue_marker(queue)
         else:
             start_evt = cl.enqueue_marker(queue, wait_for=wait_for[:])
 
         if app.inplace:
-            raise RuntimeError("inplace fft is not supported")
+            raise RuntimeError("inplace FFT is not supported by pyvkfft")
         else:
             # FIXME: All very imperative. FFT functionality should move into the actx?
             output_vec = actx.np.zeros_like(input_vec)
 
         meth = app.ifft if inverse else app.fft
-
         meth(input_vec, output_vec, queue=queue)
 
         if queue.device.platform.name == "NVIDIA CUDA":
             end_evt = cl.enqueue_marker(queue)
         else:
             end_evt = cl.enqueue_marker(queue, wait_for=[start_evt])
-
         output_vec.add_event(end_evt)
 
         return (
             MarkerBasedProfilingEvent(end_event=end_evt, start_event=start_evt),
             output_vec)
-    else:
-        raise RuntimeError(f"Unsupported FFT backend {backend}")
+
+    raise RuntimeError(f"unsupported FFT backend: {type(app)}")
 
 # }}}
 
diff --git a/sumpy/toys.py b/sumpy/toys.py
index 8ff1f88c..0d079652 100644
--- a/sumpy/toys.py
+++ b/sumpy/toys.py
@@ -414,9 +414,9 @@ def _m2l(actx: ArrayContext,
 
         if toy_ctx.use_fft:
 
-            fft_app = get_opencl_fft_app(actx, (1, expn_size,),
+            fft_app = get_opencl_fft_app(actx, shape=(1, expn_size,),
                 dtype=preprocessed_src_expansions.dtype, inverse=False)
-            ifft_app = get_opencl_fft_app(actx, (1, expn_size,),
+            ifft_app = get_opencl_fft_app(actx, shape=(1, expn_size,),
                 dtype=preprocessed_src_expansions.dtype, inverse=True)
 
             _evt, preprocessed_src_expansions = run_opencl_fft(actx, fft_app,

From 2c8bb20f84483613e79ed23462115d694176d0b0 Mon Sep 17 00:00:00 2001
From: Alexandru Fikl <alexfikl@gmail.com>
Date: Fri, 28 Aug 2026 10:26:11 +0300
Subject: [PATCH 09/10] feat(typing): add types to test_fmm

---
 sumpy/test/test_fmm.py | 228 ++++++++++++++++++++++++-----------------
 1 file changed, 133 insertions(+), 95 deletions(-)

diff --git a/sumpy/test/test_fmm.py b/sumpy/test/test_fmm.py
index 1a87a67f..90f25451 100644
--- a/sumpy/test/test_fmm.py
+++ b/sumpy/test/test_fmm.py
@@ -24,10 +24,10 @@
 """
 
 import logging
-import os
 import sys
 from dataclasses import fields
 from functools import partial
+from typing import TYPE_CHECKING
 
 import numpy as np
 import numpy.linalg as la
@@ -47,12 +47,14 @@
 from sumpy.expansion.local import (
     H2DLocalExpansion,
     LinearPDEConformingVolumeTaylorLocalExpansion,
+    LocalExpansionBase,
     VolumeTaylorLocalExpansion,
     Y2DLocalExpansion,
 )
 from sumpy.expansion.multipole import (
     H2DMultipoleExpansion,
     LinearPDEConformingVolumeTaylorMultipoleExpansion,
+    MultipoleExpansionBase,
     VolumeTaylorMultipoleExpansion,
     Y2DMultipoleExpansion,
 )
@@ -66,6 +68,11 @@
 )
 
 
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+    import pyopencl as cl
+
 logger = logging.getLogger(__name__)
 
 pytest_generate_tests = pytest_generate_tests_for_array_contexts([
@@ -76,15 +83,14 @@
 # {{{ test_sumpy_fmm
 
 @pytest.mark.parametrize(
-    ("use_translation_classes", "use_fft", "fft_backend"), [
+    ("use_translation_classes", "use_fft", "fft_backend_name"), [
         (False, False, None),
         (True, False, None),
         (True, True, "loopy"),
         (True, True, "pyvkfft"),
     ])
 @pytest.mark.parametrize(
-        ("knl", "local_expn_class", "mpole_expn_class",
-        "order_varies_with_level"), [
+    ("knl", "local_expn_class", "mpole_expn_class", "order_varies_with_level"), [
             (LaplaceKernel(2), VolumeTaylorLocalExpansion,
                 VolumeTaylorMultipoleExpansion, False),
             (LaplaceKernel(2), LinearPDEConformingVolumeTaylorLocalExpansion,
@@ -103,20 +109,19 @@
                 VolumeTaylorMultipoleExpansion, False),
             (HelmholtzKernel(3), LinearPDEConformingVolumeTaylorLocalExpansion,
                 LinearPDEConformingVolumeTaylorMultipoleExpansion, False),
-            (YukawaKernel(2), Y2DLocalExpansion, Y2DMultipoleExpansion,
-                False),
-            ])
+            (YukawaKernel(2), Y2DLocalExpansion, Y2DMultipoleExpansion, False),
+    ])
 def test_sumpy_fmm(
             actx_factory: ArrayContextFactory,
             knl: ScalarKernel,
-            local_expn_class,
-            mpole_expn_class,
-            order_varies_with_level,
-            use_translation_classes,
-            use_fft,
-            fft_backend,
-            visualize=False):
-    if fft_backend == "pyvkfft":
+            local_expn_class: type[LocalExpansionBase],
+            mpole_expn_class: type[MultipoleExpansionBase],
+            order_varies_with_level: bool,
+            use_translation_classes: bool,
+            use_fft: bool,
+            fft_backend_name: str | None,
+            visualize: bool = False) -> None:
+    if fft_backend_name == "pyvkfft":
         pytest.importorskip("pyvkfft")
 
     if visualize:
@@ -128,58 +133,66 @@ def test_sumpy_fmm(
     if local_expn_class in [H2DLocalExpansion, Y2DLocalExpansion] and use_fft:
         pytest.skip("Fourier/Bessel based expansions with FFT is not supported yet.")
 
-    if use_fft:
-        from unittest.mock import patch
-
-        with patch.dict(os.environ, {"SUMPY_FFT_BACKEND": fft_backend}):
-            _test_sumpy_fmm(actx_factory, knl, local_expn_class, mpole_expn_class,
-                order_varies_with_level, use_translation_classes, use_fft,
-                fft_backend)
-    else:
-        _test_sumpy_fmm(actx_factory, knl, local_expn_class, mpole_expn_class,
-            order_varies_with_level, use_translation_classes, use_fft,
-            fft_backend)
+    _test_sumpy_fmm(
+        actx_factory, knl,
+        local_expn_class, mpole_expn_class,
+        order_varies_with_level=order_varies_with_level,
+        use_translation_classes=use_translation_classes,
+        use_fft=use_fft,
+        fft_backend_name=fft_backend_name,
+        visualize=visualize,
+   )
 
 
 def _test_sumpy_fmm(
             actx_factory: ArrayContextFactory,
             knl: ScalarKernel,
-            local_expn_class,
-            mpole_expn_class,
-            order_varies_with_level,
-            use_translation_classes,
-            use_fft,
-            fft_backend):
+            local_expn_class: type[LocalExpansionBase],
+            mpole_expn_class: type[MultipoleExpansionBase], *,
+            order_varies_with_level: bool,
+            use_translation_classes: bool,
+            use_fft: bool,
+            fft_backend_name: str | None,
+            visualize: bool = False) -> None:
+    from sumpy.tools import FFTBackend
+
+    if fft_backend_name is None:
+        fft_backend = None
+    else:
+        fft_backend = FFTBackend[fft_backend_name.upper()]
 
     actx = actx_factory()
-
-    if fft_backend == "pyvkfft":
+    if fft_backend == FFTBackend.PYVKFFT and isinstance(actx, PyOpenCLArrayContext):
         from pyopencl.characterize import get_pocl_version
-        if (isinstance(actx, PyOpenCLArrayContext)
-                    and get_pocl_version(actx.queue.device.platform) >= (7,)):
+        pocl_version = get_pocl_version(actx.queue.device.platform)
+
+        if pocl_version and pocl_version >= (7,):
             pytest.skip("pocl 7 and pyvkfft don't get along: "
                         "https://github.com/pocl/pocl/issues/2069")
 
+    rng = np.random.default_rng(44)
+
     nsources = 1000
     ntargets = 300
-    dtype = np.float64
+    dtype = np.dtype(np.float64)
 
     from boxtree.tools import make_normal_particle_array as p_normal
-    sources = p_normal(actx, nsources, knl.dim, dtype, seed=15)
-
-    if 1:
-        offset = np.zeros(knl.dim)
-        offset[0] = 0.1
-        targets = offset + p_normal(actx, ntargets, knl.dim, dtype, seed=18)
-
-        del offset
+    sources = p_normal(actx, nsources, knl.dim, dtype, rng=rng)
+
+    if not visualize:
+        targets = obj_array.new_1d([
+            x + offset for offset, x in zip(
+                [0.1, 0.0, 0.0, 0.0][:knl.dim],
+                p_normal(actx, ntargets, knl.dim, dtype, rng=rng),
+                strict=True)
+        ])
     else:
         from sumpy.visualization import FieldPlotter
         fp = FieldPlotter(np.array([0.5, 0]), extent=3, npoints=200)
 
         targets = obj_array.new_1d([fp.points[i] for i in range(knl.dim)])
 
-    from boxtree import TreeBuilder
+    from boxtree import Tree, TreeBuilder
     tb = TreeBuilder(actx)
     tree, _ = tb(actx, sources, targets=targets,
             max_particles_in_box=30, debug=True)
@@ -190,16 +203,15 @@ def _test_sumpy_fmm(
 
     # {{{ plot tree
 
-    if 0:
+    if visualize:
         host_tree = actx.to_numpy(tree)
         host_trav = actx.to_numpy(trav)
 
-        if 0:
-            logger.info("src_box: %s", host_tree.find_box_nr_for_source(403))
-            logger.info("tgt_box: %s", host_tree.find_box_nr_for_target(28))
-            logger.info("%s",
-                list(host_trav.target_or_target_parent_boxes).index(37))
-            logger.info("%s", host_trav.get_box_list("sep_bigger", 22))
+        logger.info("src_box: %s", host_tree.find_box_nr_for_source(403))
+        logger.info("tgt_box: %s", host_tree.find_box_nr_for_target(28))
+        logger.info("%s",
+            list(host_trav.target_or_target_parent_boxes).index(37))
+        logger.info("%s", host_trav.get_box_list("sep_bigger", 22))
 
         from boxtree.visualization import TreePlotter
         plotter = TreePlotter(host_tree)
@@ -212,14 +224,13 @@ def _test_sumpy_fmm(
 
     # }}}
 
-    rng = np.random.default_rng(44)
     weights = actx.from_numpy(rng.random(nsources, dtype=np.float64))
     logger.info("computing direct (reference) result")
 
     from pytools.convergence import PConvergenceVerifier
     pconv_verifier = PConvergenceVerifier()
 
-    extra_kwargs = {}
+    extra_kwargs: dict[str, object] = {}
     dtype = np.float64
     order_values = [1, 2, 3]
     if isinstance(knl, HelmholtzKernel):
@@ -263,13 +274,25 @@ def _test_sumpy_fmm(
                 actx,
                 partial(mpole_expn_class, knl),
                 local_expansion_factory,
-                target_kernels)
+                target_kernels,
+                fft_backend=fft_backend,
+        )
 
         if order_varies_with_level:
-            def fmm_level_to_order(kernel, kernel_args, tree, lev):
+            def fmm_level_to_order(  # pyright: ignore[reportRedeclaration]
+                    _kernel: ScalarKernel,
+                    _kernel_args: frozenset[tuple[str, object]],
+                    _tree: Tree,
+                    lev: int
+                ) -> int:
                 return order + lev % 2  # ruff:ignore[function-uses-loop-variable]
         else:
-            def fmm_level_to_order(kernel, kernel_args, tree, lev):
+            def fmm_level_to_order(
+                    _kernel: ScalarKernel,
+                    _kernel_args: frozenset[tuple[str, object]],
+                    _tree: Tree,
+                    _lev: int
+                ) -> int:
                 return order  # ruff:ignore[function-uses-loop-variable]
 
         wrangler = SumpyExpansionWrangler(tree_indep, trav, dtype,
@@ -302,7 +325,8 @@ def fmm_level_to_order(kernel, kernel_args, tree, lev):
 # {{{ test_coeff_magnitude_rscale
 
 @pytest.mark.parametrize("knl", [LaplaceKernel(2), BiharmonicKernel(2)])
-def test_coeff_magnitude_rscale(actx_factory: ArrayContextFactory, knl):
+def test_coeff_magnitude_rscale(
+        actx_factory: ArrayContextFactory, knl: ScalarKernel) -> None:
     """Checks that the rscale used keeps the coefficient magnitude
     difference small
     """
@@ -310,20 +334,23 @@ def test_coeff_magnitude_rscale(actx_factory: ArrayContextFactory, knl):
     mpole_expn_class = LinearPDEConformingVolumeTaylorMultipoleExpansion
 
     actx = actx_factory()
+    rng = np.random.default_rng(31)
 
     nsources = 1000
     ntargets = 300
-    dtype = np.float64
+    dtype = np.dtype(np.float64)
 
     from boxtree.tools import make_normal_particle_array as p_normal
 
-    sources = p_normal(actx, nsources, knl.dim, dtype, seed=15)
-    offset = np.zeros(knl.dim)
-    offset[0] = 0.1
-
-    targets = offset + p_normal(actx, ntargets, knl.dim, dtype, seed=18)
+    sources = p_normal(actx, nsources, knl.dim, dtype, rng=rng)
+    targets = obj_array.new_1d([
+        x + offset for offset, x in zip(
+            [0.1, 0.0, 0.0, 0.0][:knl.dim],
+            p_normal(actx, ntargets, knl.dim, dtype, rng=rng),
+            strict=True)
+    ])
 
-    from boxtree import TreeBuilder
+    from boxtree import Tree, TreeBuilder
     tb = TreeBuilder(actx)
     tree, _ = tb(actx, sources, targets=targets, max_particles_in_box=30, debug=True)
 
@@ -331,10 +358,9 @@ def test_coeff_magnitude_rscale(actx_factory: ArrayContextFactory, knl):
     tbuild = FMMTraversalBuilder(actx)
     trav, _ = tbuild(actx, tree, debug=True)
 
-    rng = np.random.default_rng(31)
     weights = actx.from_numpy(rng.random(nsources, dtype=np.float64))
 
-    extra_kwargs = {}
+    extra_kwargs: dict[str, object] = {}
     dtype = np.float64
     order = 10
     if isinstance(knl, HelmholtzKernel):
@@ -353,7 +379,12 @@ def test_coeff_magnitude_rscale(actx_factory: ArrayContextFactory, knl):
         partial(local_expn_class, knl),
         target_kernels)
 
-    def fmm_level_to_order(kernel, kernel_args, tree, lev):
+    def fmm_level_to_order(
+            _kernel: ScalarKernel,
+            _kernel_args: frozenset[tuple[str, object]],
+            _tree: Tree,
+            _lev: int
+        ) -> int:
         return order
 
     wrangler = SumpyExpansionWrangler(tree_indep, trav, dtype,
@@ -363,6 +394,7 @@ def fmm_level_to_order(kernel, kernel_args, tree, lev):
     weights = wrangler.reorder_sources(weights)
     (weights,) = wrangler.distribute_source_weights(actx, (weights,), None)
 
+    assert trav.level_start_target_or_target_parent_box_nrs is not None
     local_result = wrangler.form_locals(
         actx,
         trav.level_start_target_or_target_parent_box_nrs,
@@ -383,7 +415,8 @@ def fmm_level_to_order(kernel, kernel_args, tree, lev):
 
 # {{{ test_unified_single_and_double
 
-def test_unified_single_and_double(actx_factory: ArrayContextFactory, visualize=False):
+def test_unified_single_and_double(
+        actx_factory: ArrayContextFactory, visualize: bool = False) -> None:
     """
     Test that running one FMM for single layer + double layer gives the
     same result as running one FMM for each and adding the results together
@@ -393,6 +426,7 @@ def test_unified_single_and_double(actx_factory: ArrayContextFactory, visualize=
         logging.basicConfig(level=logging.INFO)
 
     actx = actx_factory()
+    rng = np.random.default_rng(44)
 
     knl = LaplaceKernel(2)
     local_expn_class = LinearPDEConformingVolumeTaylorLocalExpansion
@@ -404,12 +438,13 @@ def test_unified_single_and_double(actx_factory: ArrayContextFactory, visualize=
 
     from boxtree.tools import make_normal_particle_array as p_normal
 
-    sources = p_normal(actx, nsources, knl.dim, dtype, seed=15)
-    offset = np.zeros(knl.dim)
-    offset[0] = 0.1
-
-    targets = offset + p_normal(actx, ntargets, knl.dim, dtype, seed=18)
-    del offset
+    sources = p_normal(actx, nsources, knl.dim, dtype, rng=rng)
+    targets = obj_array.new_1d([
+        x + offset for offset, x in zip(
+            [0.1, 0.0, 0.0, 0.0][:knl.dim],
+            p_normal(actx, ntargets, knl.dim, dtype, rng=rng),
+            strict=True)
+    ])
 
     from boxtree import TreeBuilder
     tb = TreeBuilder(actx)
@@ -419,7 +454,6 @@ def test_unified_single_and_double(actx_factory: ArrayContextFactory, visualize=
     tbuild = FMMTraversalBuilder(actx)
     trav, _ = tbuild(actx, tree, debug=True)
 
-    rng = np.random.default_rng(44)
     weights = (
         actx.from_numpy(rng.random(nsources, dtype=np.float64)),
         actx.from_numpy(rng.random(nsources, dtype=np.float64))
@@ -438,13 +472,13 @@ def test_unified_single_and_double(actx_factory: ArrayContextFactory, visualize=
     source_kernel_vecs = [[knl], [deriv_knl], [knl, deriv_knl]]
     strength_usages = [[0], [1], [0, 1]]
 
-    alpha = np.linspace(0, 2*np.pi, nsources, np.float64)
+    alpha = np.linspace(0, 2*np.pi, nsources, dtype=np.float64)
     dir_vec = actx.from_numpy(np.vstack([np.cos(alpha), np.sin(alpha)]))
 
-    results = []
+    results: list[np.ndarray[tuple[int, int], np.dtype[np.float64]]] = []
     for source_kernels, strength_usage in zip(
             source_kernel_vecs, strength_usages, strict=True):
-        source_extra_kwargs = {}
+        source_extra_kwargs: dict[str, object] = {}
         if deriv_knl in source_kernels:
             source_extra_kwargs["dir_vec"] = dir_vec
         tree_indep = SumpyTreeIndependentDataForWrangler(
@@ -474,7 +508,10 @@ def test_unified_single_and_double(actx_factory: ArrayContextFactory, visualize=
 # {{{ test_sumpy_fmm_timing_data_collection
 
 @pytest.mark.parametrize("use_fft", [True, False])
-def test_sumpy_fmm_timing_data_collection(ctx_factory, use_fft, visualize=False):
+def test_sumpy_fmm_timing_data_collection(
+        ctx_factory: Callable[[], cl.Context],
+        use_fft: bool,
+        visualize: bool = False) -> None:
     if visualize:
         logging.basicConfig(level=logging.INFO)
 
@@ -487,6 +524,7 @@ def test_sumpy_fmm_timing_data_collection(ctx_factory, use_fft, visualize=False)
         properties=cl.command_queue_properties.PROFILING_ENABLE)
     actx = PyOpenCLArrayContext(queue)
 
+    rng = np.random.default_rng(44)
     nsources = 500
     dtype = np.float64
 
@@ -497,7 +535,7 @@ def test_sumpy_fmm_timing_data_collection(ctx_factory, use_fft, visualize=False)
     mpole_expn_class = VolumeTaylorMultipoleExpansion
     order = 1
 
-    sources = p_normal(actx, nsources, knl.dim, dtype, seed=15)
+    sources = p_normal(actx, nsources, knl.dim, dtype, rng=rng)
 
     from boxtree import TreeBuilder
     tb = TreeBuilder(actx)
@@ -507,7 +545,6 @@ def test_sumpy_fmm_timing_data_collection(ctx_factory, use_fft, visualize=False)
     tbuild = FMMTraversalBuilder(actx)
     trav, _ = tbuild(actx, tree, debug=True)
 
-    rng = np.random.default_rng(44)
     weights = actx.from_numpy(rng.random(nsources, dtype=np.float64))
 
     target_kernels = [knl]
@@ -535,11 +572,13 @@ def test_sumpy_fmm_timing_data_collection(ctx_factory, use_fft, visualize=False)
     _pot, = drive_fmm(actx, wrangler, (weights,))
 
 
-def test_sumpy_fmm_exclude_self(actx_factory: ArrayContextFactory, visualize=False):
+def test_sumpy_fmm_exclude_self(
+        actx_factory: ArrayContextFactory, visualize: bool = False) -> None:
     if visualize:
         logging.basicConfig(level=logging.INFO)
 
     actx = actx_factory()
+    rng = np.random.default_rng(44)
 
     nsources = 500
     dtype = np.float64
@@ -551,7 +590,7 @@ def test_sumpy_fmm_exclude_self(actx_factory: ArrayContextFactory, visualize=Fal
     mpole_expn_class = VolumeTaylorMultipoleExpansion
     order = 10
 
-    sources = p_normal(actx, nsources, knl.dim, dtype, seed=15)
+    sources = p_normal(actx, nsources, knl.dim, dtype, rng=rng)
 
     from boxtree import TreeBuilder
     tb = TreeBuilder(actx)
@@ -562,7 +601,6 @@ def test_sumpy_fmm_exclude_self(actx_factory: ArrayContextFactory, visualize=Fal
     tbuild = FMMTraversalBuilder(actx)
     trav, _ = tbuild(actx, tree, debug=True)
 
-    rng = np.random.default_rng(44)
     weights = actx.from_numpy(rng.random(nsources, dtype=np.float64))
 
     target_to_source = actx.from_numpy(np.arange(tree.ntargets, dtype=np.int32))
@@ -604,11 +642,12 @@ def test_sumpy_fmm_exclude_self(actx_factory: ArrayContextFactory, visualize=Fal
 
 def test_sumpy_axis_source_derivative(
             actx_factory: ArrayContextFactory,
-            visualize=False):
+            visualize: bool = False) -> None:
     if visualize:
         logging.basicConfig(level=logging.INFO)
 
     actx = actx_factory()
+    rng = np.random.default_rng(12)
 
     nsources = 500
     dtype = np.float64
@@ -620,7 +659,7 @@ def test_sumpy_axis_source_derivative(
     mpole_expn_class = VolumeTaylorMultipoleExpansion
     order = 10
 
-    sources = p_normal(actx, nsources, knl.dim, dtype, seed=15)
+    sources = p_normal(actx, nsources, knl.dim, dtype, rng=rng)
 
     from boxtree import TreeBuilder
     tb = TreeBuilder(actx)
@@ -630,7 +669,6 @@ def test_sumpy_axis_source_derivative(
     tbuild = FMMTraversalBuilder(actx)
     trav, _ = tbuild(actx, tree, debug=True)
 
-    rng = np.random.default_rng(12)
     weights = actx.from_numpy(rng.random(nsources, dtype=np.float64))
 
     target_to_source = actx.from_numpy(np.arange(tree.ntargets, dtype=np.int32))
@@ -638,7 +676,7 @@ def test_sumpy_axis_source_derivative(
 
     from sumpy.kernel import AxisSourceDerivative, AxisTargetDerivative
 
-    pots = []
+    pots: list[np.ndarray[tuple[int], np.dtype[np.float64]]] = []
     for tgt_knl, src_knl in [
             (AxisTargetDerivative(0, knl), knl),
             (knl, AxisSourceDerivative(0, knl))]:
@@ -672,12 +710,13 @@ def test_sumpy_axis_source_derivative(
 @pytest.mark.parametrize("deriv_axes", [(), (0,), (1,)])
 def test_sumpy_target_point_multiplier(
             actx_factory: ArrayContextFactory,
-            deriv_axes,
-            visualize=False):
+            deriv_axes: tuple[int, ...],
+            visualize: bool = False) -> None:
     if visualize:
         logging.basicConfig(level=logging.INFO)
 
     actx = actx_factory()
+    rng = np.random.default_rng(12)
 
     nsources = 500
     dtype = np.float64
@@ -689,7 +728,7 @@ def test_sumpy_target_point_multiplier(
     mpole_expn_class = VolumeTaylorMultipoleExpansion
     order = 5
 
-    sources = p_normal(actx, nsources, knl.dim, dtype, seed=15)
+    sources = p_normal(actx, nsources, knl.dim, dtype, rng=rng)
 
     from boxtree import TreeBuilder
     tb = TreeBuilder(actx)
@@ -701,7 +740,6 @@ def test_sumpy_target_point_multiplier(
     tbuild = FMMTraversalBuilder(actx)
     trav, _ = tbuild(actx, tree, debug=True)
 
-    rng = np.random.default_rng(12)
     weights = actx.from_numpy(rng.random(nsources, dtype=np.float64))
 
     target_to_source = actx.from_numpy(np.arange(tree.ntargets, dtype=np.int32))
@@ -709,7 +747,7 @@ def test_sumpy_target_point_multiplier(
 
     from sumpy.kernel import AxisTargetDerivative, TargetPointMultiplier
 
-    tgt_knls = [TargetPointMultiplier(0, knl), knl, knl]
+    tgt_knls: list[ScalarKernel] = [TargetPointMultiplier(0, knl), knl, knl]
     for axis in deriv_axes:
         tgt_knls[0] = AxisTargetDerivative(axis, tgt_knls[0])
         tgt_knls[1] = AxisTargetDerivative(axis, tgt_knls[1])

From 61ec44adf3bcd0b4e307b2b5b5116ff0a6c37d93 Mon Sep 17 00:00:00 2001
From: Alexandru Fikl <alexfikl@gmail.com>
Date: Sat, 5 Sep 2026 16:35:58 +0300
Subject: [PATCH 10/10] chore: update baseline

---
 .basedpyright/baseline.json | 14612 ++++++++++++----------------------
 1 file changed, 5165 insertions(+), 9447 deletions(-)

diff --git a/.basedpyright/baseline.json b/.basedpyright/baseline.json
index f6e48746..475e597b 100644
--- a/.basedpyright/baseline.json
+++ b/.basedpyright/baseline.json
@@ -64,148 +64,152 @@
                 }
             }
         ],
-        "./sumpy/__init__.py": [
+        "./sumpy/array_context.py": [
             {
-                "code": "reportConstantRedefinition",
+                "code": "reportUnusedParameter",
                 "range": {
-                    "startColumn": 0,
-                    "endColumn": 11,
+                    "startColumn": 8,
+                    "endColumn": 21,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownParameterType",
+                "code": "reportUnusedFunction",
                 "range": {
-                    "startColumn": 29,
-                    "endColumn": 33,
+                    "startColumn": 4,
+                    "endColumn": 8,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportMissingParameterType",
+                "code": "reportMissingTypeStubs",
                 "range": {
-                    "startColumn": 29,
-                    "endColumn": 33,
+                    "startColumn": 13,
+                    "endColumn": 29,
                     "lineCount": 1
                 }
-            },
+            }
+        ],
+        "./sumpy/codegen.py": [
             {
-                "code": "reportConstantRedefinition",
+                "code": "reportUnknownArgumentType",
                 "range": {
-                    "startColumn": 4,
-                    "endColumn": 15,
+                    "startColumn": 36,
+                    "endColumn": 39,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownParameterType",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 24,
-                    "endColumn": 28,
+                    "startColumn": 52,
+                    "endColumn": 61,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportMissingParameterType",
+                "code": "reportAttributeAccessIssue",
                 "range": {
-                    "startColumn": 24,
-                    "endColumn": 28,
+                    "startColumn": 57,
+                    "endColumn": 61,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownParameterType",
+                "code": "reportArgumentType",
                 "range": {
-                    "startColumn": 30,
-                    "endColumn": 46,
+                    "startColumn": 35,
+                    "endColumn": 57,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportMissingParameterType",
+                "code": "reportArgumentType",
                 "range": {
-                    "startColumn": 30,
-                    "endColumn": 46,
+                    "startColumn": 35,
+                    "endColumn": 57,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportConstantRedefinition",
+                "code": "reportReturnType",
                 "range": {
-                    "startColumn": 4,
-                    "endColumn": 20,
+                    "startColumn": 19,
+                    "endColumn": 23,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportConstantRedefinition",
+                "code": "reportArgumentType",
                 "range": {
-                    "startColumn": 4,
-                    "endColumn": 19,
+                    "startColumn": 32,
+                    "endColumn": 70,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownParameterType",
+                "code": "reportUnknownArgumentType",
                 "range": {
-                    "startColumn": 23,
-                    "endColumn": 31,
+                    "startColumn": 36,
+                    "endColumn": 40,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportMissingParameterType",
+                "code": "reportUnknownArgumentType",
                 "range": {
-                    "startColumn": 23,
-                    "endColumn": 31,
+                    "startColumn": 36,
+                    "endColumn": 40,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownParameterType",
+                "code": "reportUnknownArgumentType",
                 "range": {
-                    "startColumn": 33,
-                    "endColumn": 53,
+                    "startColumn": 38,
+                    "endColumn": 42,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportMissingParameterType",
+                "code": "reportUnknownArgumentType",
                 "range": {
                     "startColumn": 33,
-                    "endColumn": 53,
+                    "endColumn": 37,
                     "lineCount": 1
                 }
-            },
+            }
+        ],
+        "./sumpy/cse.py": [
             {
-                "code": "reportUnannotatedClassAttribute",
+                "code": "reportMissingTypeStubs",
                 "range": {
-                    "startColumn": 13,
-                    "endColumn": 21,
+                    "startColumn": 9,
+                    "endColumn": 34,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownMemberType",
+                "code": "reportMissingTypeStubs",
                 "range": {
-                    "startColumn": 8,
+                    "startColumn": 9,
                     "endColumn": 33,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnannotatedClassAttribute",
+                "code": "reportUnknownParameterType",
                 "range": {
-                    "startColumn": 13,
-                    "endColumn": 33,
+                    "startColumn": 23,
+                    "endColumn": 28,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownMemberType",
+                "code": "reportMissingParameterType",
                 "range": {
-                    "startColumn": 8,
-                    "endColumn": 26,
+                    "startColumn": 23,
+                    "endColumn": 28,
                     "lineCount": 1
                 }
             },
@@ -218,18 +222,18 @@
                 }
             },
             {
-                "code": "reportUninitializedInstanceVariable",
+                "code": "reportUnannotatedClassAttribute",
                 "range": {
                     "startColumn": 13,
-                    "endColumn": 26,
+                    "endColumn": 34,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownMemberType",
+                "code": "reportUnannotatedClassAttribute",
                 "range": {
-                    "startColumn": 8,
-                    "endColumn": 29,
+                    "startColumn": 13,
+                    "endColumn": 27,
                     "lineCount": 1
                 }
             },
@@ -237,476 +241,454 @@
                 "code": "reportUnannotatedClassAttribute",
                 "range": {
                     "startColumn": 13,
-                    "endColumn": 29,
+                    "endColumn": 27,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUninitializedInstanceVariable",
+                "code": "reportUnknownArgumentType",
                 "range": {
-                    "startColumn": 13,
-                    "endColumn": 29,
+                    "startColumn": 38,
+                    "endColumn": 43,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownArgumentType",
+                "code": "reportUnknownMemberType",
                 "range": {
                     "startColumn": 28,
-                    "endColumn": 41,
+                    "endColumn": 37,
                     "lineCount": 1
                 }
             },
             {
                 "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 43,
-                    "endColumn": 68,
+                    "startColumn": 29,
+                    "endColumn": 57,
                     "lineCount": 1
                 }
             },
             {
                 "code": "reportUnknownArgumentType",
                 "range": {
-                    "startColumn": 43,
-                    "endColumn": 68,
+                    "startColumn": 58,
+                    "endColumn": 66,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownParameterType",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 23,
+                    "startColumn": 16,
                     "endColumn": 31,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportMissingParameterType",
+                "code": "reportUnknownArgumentType",
                 "range": {
-                    "startColumn": 23,
-                    "endColumn": 31,
+                    "startColumn": 32,
+                    "endColumn": 42,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownParameterType",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 33,
-                    "endColumn": 40,
+                    "startColumn": 16,
+                    "endColumn": 35,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportMissingParameterType",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 33,
-                    "endColumn": 40,
+                    "startColumn": 16,
+                    "endColumn": 51,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownParameterType",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 42,
-                    "endColumn": 48,
+                    "startColumn": 12,
+                    "endColumn": 31,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportMissingParameterType",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 42,
-                    "endColumn": 48,
+                    "startColumn": 12,
+                    "endColumn": 38,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownMemberType",
+                "code": "reportUnknownParameterType",
                 "range": {
-                    "startColumn": 28,
-                    "endColumn": 46,
+                    "startColumn": 8,
+                    "endColumn": 31,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownMemberType",
+                "code": "reportUnknownParameterType",
                 "range": {
-                    "startColumn": 48,
-                    "endColumn": 69,
+                    "startColumn": 38,
+                    "endColumn": 44,
                     "lineCount": 1
                 }
-            }
-        ],
-        "./sumpy/array_context.py": [
+            },
             {
-                "code": "reportUnusedParameter",
+                "code": "reportMissingParameterType",
                 "range": {
-                    "startColumn": 8,
-                    "endColumn": 21,
+                    "startColumn": 38,
+                    "endColumn": 44,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnusedFunction",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 4,
-                    "endColumn": 8,
+                    "startColumn": 16,
+                    "endColumn": 42,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportMissingTypeStubs",
+                "code": "reportUnknownArgumentType",
                 "range": {
-                    "startColumn": 13,
-                    "endColumn": 29,
+                    "startColumn": 68,
+                    "endColumn": 74,
                     "lineCount": 1
                 }
-            }
-        ],
-        "./sumpy/codegen.py": [
+            },
             {
-                "code": "reportUnknownArgumentType",
+                "code": "reportUnknownParameterType",
                 "range": {
-                    "startColumn": 36,
-                    "endColumn": 39,
+                    "startColumn": 8,
+                    "endColumn": 31,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownMemberType",
+                "code": "reportUnknownParameterType",
                 "range": {
-                    "startColumn": 52,
-                    "endColumn": 61,
+                    "startColumn": 38,
+                    "endColumn": 43,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportAttributeAccessIssue",
+                "code": "reportMissingParameterType",
                 "range": {
-                    "startColumn": 57,
-                    "endColumn": 61,
+                    "startColumn": 38,
+                    "endColumn": 43,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportArgumentType",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 35,
-                    "endColumn": 57,
+                    "startColumn": 22,
+                    "endColumn": 40,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportArgumentType",
+                "code": "reportUnknownArgumentType",
                 "range": {
-                    "startColumn": 35,
-                    "endColumn": 57,
+                    "startColumn": 22,
+                    "endColumn": 40,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportReturnType",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 19,
-                    "endColumn": 23,
+                    "startColumn": 23,
+                    "endColumn": 41,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportArgumentType",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 32,
-                    "endColumn": 70,
+                    "startColumn": 23,
+                    "endColumn": 52,
                     "lineCount": 1
                 }
             },
             {
                 "code": "reportUnknownArgumentType",
                 "range": {
-                    "startColumn": 36,
-                    "endColumn": 40,
+                    "startColumn": 53,
+                    "endColumn": 58,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownArgumentType",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 36,
-                    "endColumn": 40,
+                    "startColumn": 12,
+                    "endColumn": 38,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownArgumentType",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 38,
-                    "endColumn": 42,
+                    "startColumn": 12,
+                    "endColumn": 45,
                     "lineCount": 1
                 }
             },
             {
                 "code": "reportUnknownArgumentType",
                 "range": {
-                    "startColumn": 33,
-                    "endColumn": 37,
+                    "startColumn": 46,
+                    "endColumn": 51,
                     "lineCount": 1
                 }
-            }
-        ],
-        "./sumpy/cse.py": [
+            },
             {
-                "code": "reportMissingTypeStubs",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 9,
-                    "endColumn": 34,
+                    "startColumn": 12,
+                    "endColumn": 31,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportMissingTypeStubs",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 9,
-                    "endColumn": 33,
+                    "startColumn": 12,
+                    "endColumn": 38,
                     "lineCount": 1
                 }
             },
             {
                 "code": "reportUnknownParameterType",
                 "range": {
-                    "startColumn": 23,
-                    "endColumn": 28,
+                    "startColumn": 32,
+                    "endColumn": 38,
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                 }
             },
             {
                 "code": "reportMissingParameterType",
                 "range": {
-                    "startColumn": 23,
-                    "endColumn": 28,
-                    "lineCount": 1
-                }
-            },
-            {
-                "code": "reportUnannotatedClassAttribute",
-                "range": {
-                    "startColumn": 13,
-                    "endColumn": 26,
+                    "startColumn": 32,
+                    "endColumn": 38,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnannotatedClassAttribute",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 13,
-                    "endColumn": 34,
+                    "startColumn": 19,
+                    "endColumn": 38,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnannotatedClassAttribute",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 13,
-                    "endColumn": 27,
+                    "startColumn": 12,
+                    "endColumn": 31,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnannotatedClassAttribute",
+                "code": "reportUnknownMemberType",
                 "range": {
-                    "startColumn": 13,
-                    "endColumn": 27,
+                    "startColumn": 12,
+                    "endColumn": 43,
                     "lineCount": 1
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             },
             {
-                "code": "reportUnknownArgumentType",
+                "code": "reportUnknownParameterType",
                 "range": {
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-                    "endColumn": 43,
+                    "startColumn": 8,
+                    "endColumn": 33,
                     "lineCount": 1
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-                "code": "reportUnknownMemberType",
+                "code": "reportUnknownParameterType",
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-                    "endColumn": 37,
+                    "startColumn": 40,
+                    "endColumn": 46,
                     "lineCount": 1
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-                "code": "reportUnknownMemberType",
+                "code": "reportMissingParameterType",
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-                    "endColumn": 57,
+                    "startColumn": 40,
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-                "code": "reportUnknownArgumentType",
+                "code": "reportMissingParameterType",
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                 "range": {
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-                    "endColumn": 31,
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                     "lineCount": 1
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             },
             {
                 "code": "reportUnknownArgumentType",
                 "range": {
-                    "startColumn": 32,
-                    "endColumn": 42,
+                    "startColumn": 30,
+                    "endColumn": 38,
                     "lineCount": 1
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-                "code": "reportUnknownMemberType",
+                "code": "reportUnknownArgumentType",
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+                    "startColumn": 17,
+                    "endColumn": 45,
                     "lineCount": 1
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-                "code": "reportUnknownMemberType",
+                "code": "reportUnknownParameterType",
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+                    "startColumn": 8,
+                    "endColumn": 29,
                     "lineCount": 1
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-                "code": "reportUnknownMemberType",
+                "code": "reportUnknownParameterType",
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-                    "endColumn": 31,
+                    "startColumn": 36,
+                    "endColumn": 42,
                     "lineCount": 1
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             {
-                "code": "reportUnknownMemberType",
+                "code": "reportMissingParameterType",
                 "range": {
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-                    "endColumn": 38,
+                    "startColumn": 36,
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                     "lineCount": 1
                 }
             },
             {
                 "code": "reportUnknownParameterType",
                 "range": {
-                    "startColumn": 8,
-                    "endColumn": 31,
+                    "startColumn": 44,
+                    "endColumn": 63,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportUnknownParameterType",
+                "code": "reportMissingParameterType",
                 "range": {
-                    "startColumn": 38,
-                    "endColumn": 44,
+                    "startColumn": 44,
+                    "endColumn": 63,
                     "lineCount": 1
                 }
             },
             {
-                "code": "reportMissingParameterType",
+                "code": "reportUnknownArgumentType",
                 "range": {
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-                    "endColumn": 44,
+                    "startColumn": 20,
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                     "lineCount": 1
                 }
             },
             {
                 "code": "reportUnknownMemberType",
                 "range": {
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-                    "endColumn": 42,
+                    "startColumn": 22,
+                    "endColumn": 41,
                     "lineCount": 1
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             {
                 "code": "reportUnknownArgumentType",
                 "range": {
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-                    "lineCount": 1
-                }
-            },
-            {
-                "code": "reportUnknownParameterType",
-                "range": {
-                    "startColumn": 8,
-                    "endColumn": 31,
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@@ -6168,98 +5670,58 @@
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@@ -6267,4036 +5729,384 @@
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@@ -12044,8 +7878,8 @@
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@@ -12074,114 +7908,114 @@
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@@ -12250,10 +8084,10 @@
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@@ -23392,88 +19142,96 @@
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@@ -24343,51 +20101,27 @@
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@@ -24464,18 +20198,10 @@
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@@ -24576,18 +20302,10 @@
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