gridding init#6
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WalkthroughThis pull request updates the copyright year to 2025 and introduces a new template function Changes
Sequence Diagram(s)sequenceDiagram
participant Main
participant Grid
participant NestedGrid
participant Assert
Main->>Grid: Instantiate grid with data & shape
Grid->>NestedGrid: Request sub-grid via operator>>
NestedGrid->>Assert: Perform element-wise operations (+=, *=)
Assert-->>Main: Validate grid operation results
sequenceDiagram
participant Bench as Benchmark
participant Vector as Vector_t
participant SpanGen as make_spans
Bench->>Vector: Create vector with initial values
Vector->>SpanGen: Generate spans from vector(s)
SpanGen-->>Bench: Return spans for arithmetic operations
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Actionable comments posted: 4
🧹 Nitpick comments (6)
inc/mkn/avx/def.hpp (1)
81-85: Well-implemented alignment check utilityThe
is_alignedfunction is a useful utility for checking memory alignment, which is critical for optimal AVX operations. The implementation is simple and effective.Consider making this function
constexprfor compile-time evaluation:template<typename T, std::uint16_t alignment = 32> -bool is_aligned(T* t) +constexpr bool is_aligned(T* t) { return (0 == (((std::size_t)(t)) % alignment)); }Also, consider adding a null pointer check if that's a valid use case in your codebase:
template<typename T, std::uint16_t alignment = 32> constexpr bool is_aligned(T* t) { + if (t == nullptr) return true; // or false depending on your requirements return (0 == (((std::size_t)(t)) % alignment)); }inc/mkn/avx/types.hpp (3)
224-224: Remove commented-out codeThere's a commented-out line that should be removed as it's no longer needed after the refactoring.
- // using vector_t = typename Super::vector_t;
270-275: Clean up debug code and add documentation for new operatorThe new operator+=, which allows mixed-type operations, is a useful addition. However, there's a commented-out debug statement that should be removed, and the function lacks documentation.
/** * Adds a Type<T1, SIZE> to a Type<T0, SIZE>, storing the result in the first operand. * This template allows operations between different but compatible value types. */ template<typename T0, typename T1, std::size_t SIZE> void operator+=(Type<T0, SIZE>& a, Type<T1, SIZE> const& b) noexcept { - // KLOG(INF)<< typeid(Type<T, SIZE>::sub_func_ptr).name(); a() = Type<T0, SIZE>::add_func_ptr(a(), b()); }
283-288: Add documentation for mixed-type multiplicationSimilar to the operator+=, this new mixed-type operator*= would benefit from documentation.
/** * Multiplies a Type<T0, SIZE> by a Type<T1, SIZE>, storing the result in the first operand. * This template allows operations between different but compatible value types. */ template<typename T0, typename T1, std::size_t SIZE> void operator*=(Type<T0, SIZE>& a, Type<T1, SIZE> const& b) noexcept { a() = Type<T0, SIZE>::mul_func_ptr(a(), b()); }test/test_avx.cpp (1)
108-157: Comprehensive test cases for the new Grid classThe new
gridfunction provides good test coverage for the Grid class, testing various operations including element-wise operations and dimension manipulation with the>>operator.Consider adding comments to explain what each test case is verifying, especially since grid operations can be complex:
template<typename T = double> void grid() { { + // Test basic grid addition with same dimensions mkn::avx::Vector_t<T> v0(1000, 1), v1(1000, 1); mkn::avx::Grid<T, 3> grid0{v0.data(), {10, 10, 10}}; mkn::avx::Grid<T, 3> grid1{v1.data(), {10, 10, 10}}; grid0 += grid1; mkn::kul::abort_if_not(mkn::kul::float_equals(mkn::kul::math::sum(v0), 2000)); } // Continue adding comments for each test case...test/bench.cpp (1)
107-109: Benchmark memory considerations.
Declaring multiple vectors with the same size and initial value (2) might skew performance metrics if all operations are homogeneous. Consider varying test data for more realistic benchmarks.
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📒 Files selected for processing (7)
inc/mkn/avx/def.hpp(1 hunks)inc/mkn/avx/grid.hpp(1 hunks)inc/mkn/avx/span.hpp(9 hunks)inc/mkn/avx/types.hpp(3 hunks)inc/mkn/avx/vector.hpp(1 hunks)test/bench.cpp(6 hunks)test/test_avx.cpp(3 hunks)
🔇 Additional comments (10)
inc/mkn/avx/vector.hpp (1)
43-43: Good refactoring towards simplicitySimplifying the vector implementation to use a type alias rather than inheritance is a solid architectural improvement. This makes the code more maintainable and easier to understand.
inc/mkn/avx/types.hpp (1)
278-281:Details
✅ Verification successful
Verify impact of operator behavior change
The operator has been changed from += to -=, which could break existing code. Ensure all callers have been updated accordingly.
🏁 Script executed:
#!/bin/bash # Search for any code that might still expect operator+= behavior but would now get operator-= rg -A 3 -B 3 "\+=" --type cppLength of output: 7653
Operator Behavior Verification: Confirm Correct Separation of Addition and Subtraction
We verified that the repository now provides two distinct overloads in inc/mkn/avx/types.hpp—one for addition (
operator+=) and one for subtraction (operator-=). Our search across the codebase (notably in test suites such as test/test_avx.cpp) confirms that:
operator+=(...)remains intact and is used by callers expecting addition.- The newly introduced
operator-=(...)correctly callssub_func_ptrand is used where subtraction is required.There is no evidence that callers expecting addition are inadvertently receiving subtraction behavior. Please double-check that the arithmetic semantics in any non-test caller code align with these separate operator definitions.
test/test_avx.cpp (3)
15-41: Good test coverage for new operator implementationsThe updated
spantest function now correctly tests the new -= and /= operators, which is important given the changes in operators' behavior.
44-74: Updated test aligns with Vector_t refactoringThe
arrfunction has been updated to use the newVector_ttype alias instead of the previousVectorclass, which correctly reflects the architectural changes.
161-176:Details
✅ Verification successful
Verify the correctness of the new template parameters
The main function has been updated to call
arrandspanwith specific template parameters (float, 8,double, 4, etc.). Make sure these parameters match the expectations of the functions and align with the vector sizes used in the AVX implementations.
🏁 Script executed:
#!/bin/bash # Verify that the AVX implementations support the sizes used in the tests grep -r "struct Type_<float, 8>" --include="*.hpp" . grep -r "struct Type_<double, 4>" --include="*.hpp" .Length of output: 205
AVX Template Parameter Verification Passed
- Verified that the AVX implementation supports the new template parameters:
struct Type_<float, 8>andstruct Type_<double, 4>are confirmed ininc/mkn/avx/types.hpp.- The calls in
main()usingarr,grid, andspannow match the expected vector sizes in our AVX implementation.- No further changes are needed regarding the updated template parameters.
test/bench.cpp (5)
96-98: Good use of spans for multi-operand operations.
UsingVector_t<T>andmake_spansfor separate operand data is clean and consistent. No correctness issues spotted.
117-119: Single-span usage looks solid.
The one-dimensional data handling formul_avx_inplace_singleis properly adapted to the newVector_t<T>andmake_spans.
129-133: Consistent array-based operation.
Creating a singleVector_t<T>and a span from it aligns well with the new design. This approach is straightforward, clean, and maintainable.
142-143: No issues found with two-span creation.
The move toVector_t<T>andmake_spansis uniform, matches the rest of the codebase, and is easy to follow.
152-153: Consistent single-span adaptation.
Transition toVector_t<T>combined withmake_spansis properly encapsulated, maintaining clear semantics for the test.
| template<typename T, std::size_t SIZE> | ||
| void operator*=(Type<T, SIZE>& a, Type<T, SIZE> const& b) noexcept | ||
| void operator/=(Type<T, SIZE>& a, Type<T, SIZE> const& b) noexcept | ||
| { | ||
| a() = Type<T, SIZE>::mul_func_ptr(a(), b()); | ||
| a() = Type<T, SIZE>::div_func_ptr(a(), b()); | ||
| } |
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💡 Verification agent
🧩 Analysis chain
Verify impact of operator behavior change
Similar to line 278, the operator has been changed from *= to /=, which could break existing code. Ensure all callers have been updated accordingly.
🏁 Script executed:
#!/bin/bash
# Search for any code that might still expect operator*= behavior but would now get operator/=
rg -A 3 -B 3 "\*=" --type cppLength of output: 6048
Action Required: Update & Verify Operator Usage
The new /= overload in inc/mkn/avx/types.hpp (lines 290–294) now implements division assignment, whereas the multiplication assignment (*=) overload remains available for multiplication. Our grep search revealed many call sites—especially in test files, span implementations, and grid operations—still using *=. This raises two points for review:
- Confirm Intended Semantics: Double-check that any call sites which should perform division instead of multiplication have been updated to explicitly use
/=rather than the old ambiguous*=. - Audit Caller Updates: In files such as
test/test_avx.cpp,inc/mkn/avx/span.hpp, andinc/mkn/avx/grid.hpp, ensure that the usage of*=aligns with the intended multiplication behavior. If any of these sites were meant to perform division, update them accordingly.
Once you’ve validated and corrected these call sites where necessary, the operator behavior change won’t inadvertently break existing code.
| while (x_pos <= m_shape[0]) | ||
| { | ||
| std::uint32_t const place = x_pos + y_offset + z_offset; | ||
| auto p0 = &this->real().data()[place]; | ||
| auto const p1 = &that.real().data()[place]; | ||
| bool const are_aligned = is_aligned(p0) and is_aligned(p1); | ||
| if (are_aligned) | ||
| { | ||
| Span<T> span0{p0, rem_x}; | ||
| Span<const T> span1{p1, rem_x}; | ||
| span0 *= span1; | ||
| break; | ||
| } | ||
| else | ||
| { | ||
| *p0 *= *p1; | ||
| } | ||
|
|
||
| ++x_pos; | ||
| --rem_x; | ||
| } | ||
| } |
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Possible off-by-one in the while loop.
while (x_pos <= m_shape[0]) risks indexing out of bounds if x_pos reaches m_shape[0]. Typically, iteration should proceed while x_pos < m_shape[0] + m_offset[0] when data is zero-based. Double-check the indexing logic to avoid going out of range.
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Actionable comments posted: 0
🧹 Nitpick comments (1)
inc/mkn/avx/def.hpp (1)
100-105: Consider null pointer edge case in alignment check.
Iftisnullptr,(std::size_t)(t) % alignmentis zero, which would returntrue, even though a null pointer is arguably not “aligned” in a practical sense. An optional null check could improve clarity and correctness.template<typename T, std::uint16_t alignment = 32> bool is_aligned(T* t) { - return (0 == (((std::size_t)(t)) % alignment)); + return t != nullptr && (reinterpret_cast<std::uintptr_t>(t) % alignment == 0); }
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📒 Files selected for processing (13)
.github/workflows/build_nix.yml(1 hunks)LICENSE.md(1 hunks)inc/mkn/avx.hpp(1 hunks)inc/mkn/avx/array.hpp(1 hunks)inc/mkn/avx/def.hpp(3 hunks)inc/mkn/avx/grid.hpp(1 hunks)inc/mkn/avx/lazy.hpp(1 hunks)inc/mkn/avx/span.hpp(15 hunks)inc/mkn/avx/types.hpp(4 hunks)inc/mkn/avx/vector.hpp(2 hunks)test/bench.cpp(6 hunks)test/test_avx.cpp(4 hunks)test/test_lazy.cpp(8 hunks)
✅ Files skipped from review due to trivial changes (4)
- inc/mkn/avx.hpp
- LICENSE.md
- inc/mkn/avx/array.hpp
- inc/mkn/avx/lazy.hpp
🚧 Files skipped from review as they are similar to previous changes (3)
- inc/mkn/avx/types.hpp
- inc/mkn/avx/span.hpp
- test/bench.cpp
🔇 Additional comments (46)
inc/mkn/avx/def.hpp (2)
2-2: Year updated to 2025.
No concerns; updating the copyright year is appropriate.
83-94: No impactful change observed.
This appears to be a minor style or whitespace change and does not affect logic..github/workflows/build_nix.yml (1)
21-21: Incorporating tests into the build step is beneficial.
Runningtestalongsidebenchensures code correctness while benchmarking. This looks good.test/test_lazy.cpp (13)
2-7: New includes for logging and vector functionality.
Including"mkn/kul/log.hpp"and"mkn/avx/vector.hpp"suggests logging usage and the newVector_ttype. This is consistent with the refactored vector approach.
15-15: Migrated tomkn::avx::Vector_t<double>.
Switching from manually alignedstd::vectortoVector_t<double>improves consistency with the new AVX vector strategy.
20-20: Validation checks the entire container contents.
mkn::kul::abort_if_not(make_span(r) == 4);checks all elements for the expected value. This is more thorough than checking a few positions but could mask partial initialization bugs if everything is always the same. Consider verifying random samples or additional properties if needed.
26-26: Same change to vector type.
Replacing withmkn::avx::Vector_t<double>consistently applies the new approach.
31-31: Entire-container check for multiplication result.
No logical issues seen, but keep in mind broader coverage or random checks if needed.
37-37: Use ofVector_t<double>infma3()scope.
Maintains consistency with the new vector alias.
46-46: Consistent usage ofVector_t<double>in nested scope.
No issues found.
58-58:fma0()updated with new vector alias.
No concerns; consistent refactoring.
69-70: Retaining approach for multi-vector fma infma1().
UsesVector_t<double>and merges the results with multiply-add logic. The changed line includes the type alias for consistency.
78-78: Same usage infma2().
The uniform approach toVector_t<double>is maintained.
91-91: Swapped toVector_t<double>infn0().
Consistent with the broader refactor.
103-103:fn1()usesVector_t<double>as well.
No further issues.
114-114: Additional filename logging inmain().
This can be helpful for debugging test outputs.inc/mkn/avx/vector.hpp (3)
2-2: Year updated to 2025.
No concerns; appropriate license update.
42-42: AliasVector_tintroduced.
UsingVector_tis simpler than a custom class hierarchy. This change promotes clarity and consistency.
45-45: No functional change detected.
Likely just a closing brace or whitespace. All good.test/test_avx.cpp (21)
5-7: Includes look appropriate.
No issues found with these newly introduced includes for math, float, and assert utilities.
9-10: AVX includes.
Brings in the main AVX and Grid headers. No concerns here.
44-44: Template parameter forspan().
Defining a defaultNviamkn::avx::Options::N<T>()is consistent with the rest of the codebase’s pattern.
47-47: AliasingVector_t.
Usingtypename mkn::avx::Vector_t<T>to simplify code is clear and consistent.
56-56: Assertion following addition.
Confirming thatais entirely filled with 5 is a straightforward check for expected behavior.
60-61: Subtraction with scalar.
a -= 2;followed byassert(a == 13);nicely verifies per-element scalar subtraction.
63-64: Subtraction of spans.
No concerns about the element-wise subtraction here.
66-66: Adding a scalar.
a += 2;is consistent with prior usage.
68-69: Division by another span.
a /= b;followed by checkinga == 4confirms the correctness of element-wise division.
73-73: Template parameter forarr().
Mirrors the approach used forspan()with defaultN.
76-77: Array and Vector aliases.
Array_tandVecdefinitions simplify usage insidearr().
100-101: Element-wise addition.
a += b; assert(a == 5);is consistent with verifying combined values across all elements.
103-103: Validating multiplication result.
assert(a == 15);ensures correct element-wise multiplication.
137-137: Empty line.
No functional change here.
138-186: Newgrid()test function.
This function thoroughly exercises theGridclass with offsets, verifying sums and element-wise operations for multi-dimensional data. The tests appear logically sound and comprehensive:
- Lines 141–150: Checks addition across a 10×10×10 structure.
- Lines 152–162: Uses
S=12to validate partial offsets and final sums.- Lines 164–174: Confirms addition with offset 1 for constant data.
- Lines 176–186: Combines addition and multiplication on partially offset grids.
No immediate issues noticed.
190-190: Blank line.
No functional change.
193-194: Logging file name.
Printing out the file during runtime can simplify debugging.
195-197: Callingarray<T>().
Invokingarray<float>()andarray<double>()ensures coverage for single-dimensional arrays with different floating-point types.
198-200: Callingarr<T>().
Similar coverage forarr<float>()andarr<double>(), verifying the logic for the templated array-based tests.
201-202: Invokinggrid<T>().
Demonstrates usage of the multi-dimensional grid with float and double types.
204-205: Invokingspan<T>().
Ensures that the final coverage includes thespanfunctionality for both double and float types.inc/mkn/avx/grid.hpp (6)
1-30: License header.
All standard clauses look correct and updated to 2025.
44-45: ExtendingSpanSet<T>intoGrid.
This is a natural inheritance approach. EnsureSpanSet<T>methods are wholly compatible with multi-dimensional usage.
69-70: Hard-coded capacity for offsets/shapes.
Here,m_offsetandm_shapeare declared asstd::array<std::size_t, 3>, yet the template acceptsdimensionas a parameter. For broader reusability, consider either:
- Using arrays sized by
dimension, or- Enforcing
static_assert(dimension <= 3)to avoid confusion.
87-109: Potential off-by-one error in the loop condition.
The conditionwhile (x_pos <= m_shape[0])might allowx_posto reachm_shape[0], potentially dereferencing out-of-bounds. Typically, zero-based indexing would require< m_shape[0]instead.Proposed fix:
- while (x_pos <= m_shape[0]) + while (x_pos < m_shape[0])
159-161: Offset-based shape trimming.
assert(real().shape()[d] - (2 * m_offset[d]) > 0);is a strict check. Ifm_offset[d]is large, the shape could become zero or negative, triggering this assertion. Ensure all offsets fit within half the shape for each dimension.
165-190: Grid APIs for data access and manipulation.
Constructors and operators (operator>>) appear consistent and straightforward for partial-grid references. No immediate issues.
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Actionable comments posted: 0
🧹 Nitpick comments (2)
inc/mkn/avx/grid.hpp (2)
155-161: Shape-setting logic is concise.
The_set_shape()function subtracts2*m_offset[d], implying symmetrical offsets. Ensure this always matches intended usage (e.g., partial sub-grid vs. symmetrical offset).
188-189: Public shape & data members.
While convenient for direct access, consider whether encapsulation might be beneficial. Exposing raw pointers and shapes can risk misuse externally.
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📒 Files selected for processing (13)
.github/workflows/build_nix.yml(1 hunks)LICENSE.md(1 hunks)inc/mkn/avx.hpp(1 hunks)inc/mkn/avx/array.hpp(1 hunks)inc/mkn/avx/def.hpp(3 hunks)inc/mkn/avx/grid.hpp(1 hunks)inc/mkn/avx/lazy.hpp(1 hunks)inc/mkn/avx/span.hpp(15 hunks)inc/mkn/avx/types.hpp(4 hunks)inc/mkn/avx/vector.hpp(2 hunks)test/bench.cpp(6 hunks)test/test_avx.cpp(4 hunks)test/test_lazy.cpp(8 hunks)
🚧 Files skipped from review as they are similar to previous changes (9)
- LICENSE.md
- inc/mkn/avx.hpp
- inc/mkn/avx/def.hpp
- inc/mkn/avx/lazy.hpp
- inc/mkn/avx/types.hpp
- .github/workflows/build_nix.yml
- inc/mkn/avx/array.hpp
- test/test_lazy.cpp
- inc/mkn/avx/span.hpp
🔇 Additional comments (35)
inc/mkn/avx/vector.hpp (3)
2-2: No issues with the updated copyright year.
Everything here remains consistent with the licensing terms.
42-42: Good introduction of the type alias.
Replacing a custom wrapper withusing Vector_tprovides a simpler and more direct approach to vector usage.
45-45: No further concerns.
The closing brace is properly placed, and the file structure is consistent.test/test_avx.cpp (15)
5-7: Header inclusions look consistent.
These additional includes frommkn/kul/math.hpp,mkn/kul/float.hpp, andmkn/kul/assert.hppproperly align with the usage patterns in the test file.
9-10: New AVX-related includes are appropriate.
Includingmkn/avx.hppandmkn/avx/grid.hppensures that the test suite has access to the new Grid functionality and other AVX utilities.
15-15: Trivial formatting change.
No functional impact.
44-44: Template parameter addition is flexible.
DefiningNasmkn::avx::Options::N<T>()for thespantest enhances generality for various vector lengths.
47-47: Use ofVector_tis consistent with the refactor.
This transition away from a custom vector class clarifies the code and centralizes allocations.
56-69: Arithmetic operations inspan()are correct.
The sequence of addition, multiplication, subtraction, and division checks (asserted final result = 4) reflects valid, intuitive vector operations.
73-74: Extended template signature forarr().
Allowing an additional parameter for dimension or size is consistent with the pattern inspan()and fosters code reuse.
77-78: Combining Array and Vector types.
Using bothArray_tandVector_tin this function demonstrates flexible handling of different container types.
100-103: Accurate arithmetic verification.
After incrementing byb, the code checks for 5; then multiplies and checks for 15. This correctly confirms expected vector values.
137-140: Newgrid()function declaration.
Defining a separate test function for grid-based operations provides clear separation from array/span tests.
141-149: Grid addition test is valid.
Combining two 1000-element vectors with dimension=3 shape ensures correct data indexing. The sum check (2000) appears accurate.
152-162: Second grid block uses consistent logic.
The shape (12×12×12) scenario and sum check are a good test for multi-dimensional alignment and operations.
164-174: Offset-based addition.
Applying partial updates to the grid’s second dimension (offset=1) is properly validated by checking the resulting sum.
176-187: Combined addition and multiplication test.
This block exercises multiple operations at a specific offset range, ensuring code correctness for chained transformations.
194-195: Final test calls togrid<T>()andspan<T>().
Integrating these calls seals off the test coverage by verifying multi-dimensional grid operations alongside standard spanning.test/bench.cpp (6)
96-98: Refactored to useVector_tand spans inmul_avx.
This approach ensures consistent memory management across the benchmark code.
107-108: Maintaining consistency inmul_avx_inplace.
Replacing the original type withVector_tfurther unifies the benchmarks with the refactor.
117-118: Single-span refactor inmul_avx_inplace_single.
Utilizingauto [a] = mkn::avx::make_spans(v0)is a concise, flexible way to handle one vector’s span.
129-130: Multi-element array multiplication.
Casting the data into a single span while using astd::arrayfor the multiplier is a neat demonstration of combined usage.
142-143: Addition in place withVector_trefactor.
This adheres to the new approach, removing any custom vector inheritance overhead.
152-153: Simplified single-vector addition benchmark.
Usingauto [a]is consistent and ensures clarity about the data being tested.inc/mkn/avx/grid.hpp (11)
1-30: License header inclusion is correct.
No issues with the updated year or license text.
31-33: Header guards and basic setup.
Guard naming is correct and consistent.
34-40: Relevant includes for assertions, math, and span.
Everything appears necessary for the grid’s internal arithmetic and alignment checks.
43-45: Class template design with dimension.
TheGridclass builds uponSpanSet<T>, aligning well with the rest of the AVX-based abstractions.
49-65: NestedGrid constructors require dimension alignment.
Constructors properly store offsets and shape. The approach is straightforward.
69-70: Dimension mismatch with fixed-size arrays.
You've hard-codedm_offsetandm_shapeto a 3-element array, yet the template allowsdimensionto vary.Consider either:
- Restricting
dimensionto ≤ 3 and enforcing this at compile time, or- Converting
m_offsetandm_shapetostd::array<std::size_t, dimension>for full generality.
87-87: Potential off-by-one error in the while loop.
while (x_pos <= m_shape[0])could allowx_posto becomem_shape[0], possibly indexing out of range.Double-check boundary conditions to avoid an out-of-bounds read or write.
73-114: Element-wise operators ensure shape alignment.
operator*=()andoperator+=()both confirm matching dimensions and use aligned spans when possible. Implementation is consistent with your alignment strategy.
165-171: PrimaryGridconstructor correctness.
Invoking the baseSpanSetconstructor withproduct(shape)aligns data length with size for multi-dimensional usage.
173-184: Overloadedoperator>>suits slicing.
Returning aNestedGridfrom offset or offset array is a flexible approach for sub-grid manipulation.
192-194: File-level structure is complete.
Header guard macros align with the file name, and the file ends properly.
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