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@c2akula c2akula commented Oct 19, 2025

Summary

Enhances tofu_tensor_arange() and tofu_tensor_rearange() to support full NumPy-compatible slicing including reverse slicing with negative steps and proper handling of edge cases. This resolves TODOs at src/tofu_tensor.c:161 and src/tofu_tensor.c:191.

Problem

Previous implementation had two limitations:

  1. Assertion stop > start prevented:

    • Reverse slicing: arange(10, 0, -1) should produce [10, 9, ..., 1]
    • Empty arrays: arange(5, 5, 1) should return NULL
  2. Length calculation ceil((stop - start) / step) only worked for positive steps

Solution

Enhanced length calculation:

double diff = stop - start;
if ((step > 0 && diff <= 0) || (step < 0 && diff >= 0)) {
    /* Empty array: incompatible step direction or start == stop */
    return NULL;
} else {
    len = ceil(diff / step);
}

This correctly handles:

  • Positive step: Requires start < stop for non-empty result
  • Negative step: Requires start > stop for non-empty result
  • start == stop: Always returns NULL (empty array)
  • Incompatible direction: Returns NULL (e.g., arange(0, 10, -1))

Both functions updated:

  • tofu_tensor_arange() - Allocates and returns new tensor
  • tofu_tensor_rearange() - In-place fill of existing tensor

Testing

New Test Suite

Created test/standalone/test_arange_enhanced.c with 6 comprehensive test categories:

  1. Forward Slicing (3 tests)

    • arange(0, 5, 1)[0, 1, 2, 3, 4]
    • arange(1, 10, 2)[1, 3, 5, 7, 9]
    • arange(0.5, 3.5, 0.5)[0.5, 1.0, ..., 3.0]
  2. Reverse Slicing (4 tests)

    • arange(10, 0, -1)[10, 9, 8, ..., 1]
    • arange(5, -1, -1)[5, 4, 3, 2, 1, 0]
    • arange(10, 0, -2)[10, 8, 6, 4, 2]
    • arange(3.0, 0.0, -0.5)[3.0, 2.5, ..., 0.5]
  3. Empty Arrays (3 tests)

    • arange(5, 5, 1) → NULL
    • arange(0, 0, 1) → NULL
    • arange(5, 5, -1) → NULL
  4. Incompatible Step Direction (3 tests)

    • arange(0, 10, -1) → NULL
    • arange(10, 0, 1) → NULL
    • arange(5, 2, 0.5) → NULL
  5. In-place Rearange (3 tests)

    • ✅ Forward, reverse, and step size variations
  6. Data Types (2 tests)

    • ✅ INT32 forward and reverse slicing

Results: All 6 test categories pass

Existing Tests

  • ✅ All unit tests pass (66/66)
  • ✅ Phase 1 validation passes (gradient correctness)
  • ✅ Phase 2 validation passes (architecture)
  • ✅ Phase 3 validation passes (classification & regression)

Impact

  • Breaking: No - backward compatible (existing forward slicing unchanged)
  • Performance: No overhead for existing use cases
  • API: Returns NULL for empty/incompatible cases (already documented behavior)
  • Compatibility: Now fully NumPy-compatible for slicing behavior

Resolves

Part of v1.1.0 roadmap - Priority 2 (P2) feature enhancement

  • Removes TODO at src/tofu_tensor.c:161
  • Removes TODO at src/tofu_tensor.c:191

- Remove stop > start assertion to support all slicing directions
- Add proper length calculation for positive/negative steps
- Return NULL for empty/incompatible cases (documented behavior)
- Support reverse slicing: arange(10, 0, -1) -> [10, 9, ..., 1]
- Handle empty cases: arange(5, 5, 1) -> NULL
- Add comprehensive test suite with 6 test categories
@c2akula c2akula merged commit 999b6b3 into develop Oct 19, 2025
2 checks passed
@c2akula c2akula deleted the feature/enhance-slice-functionality branch October 19, 2025 21:40
c2akula pushed a commit that referenced this pull request Oct 22, 2025
This commit fixes all 5 critical bugs discovered during comprehensive
code review and verified through reproduction tests.

Bug #1: Incorrect stride calculation in tofu_tensor_internal.h
- Location: src/tofu_tensor_internal.h:61
- Issue: Loop used `t->dims[t->ndim - 2]` (dimension VALUE) instead of
  `t->ndim - 2` (array INDEX)
- Impact: Out-of-bounds array access, incorrect stride calculations
- Fix: Changed to use correct array index `t->ndim - 2`

Bug #2: Type cast errors in fprintf functions
- Location: src/tofu_type.c:256, 264
- Issue: fprintf_uint64 and fprintf_uint32 incorrectly cast to uint16_t
- Impact: Data loss (75% for uint64, 50% for uint32), incorrect output
- Fix: Cast to correct types (uint64_t and uint32_t respectively)

Bug #3: Float comparison functions lose precision
- Location: src/tofu_type.c:309-324
- Issue: cmp_double and cmp_float cast subtraction result to int
- Impact: Fractional differences (<1.0) truncate to 0, comparisons fail
- Fix: Use three-way comparison (if/else) instead of arithmetic

Bug #4: Integer comparison overflow/underflow
- Location: src/tofu_type.c:327-381
- Issue: All integer comparison functions use subtraction which can
  overflow (signed) or underflow (unsigned)
- Impact: Wrong comparison results, sorting fails, undefined behavior
- Fix: Use three-way comparison for all integer types (int64, int32,
  int16, int8, uint64, uint32, uint16, uint8)

Bug #5: Backwards NDEBUG conditional logic
- Location: src/tofu_tensor.c:29
- Issue: Used `#ifdef NDEBUG` with assert(), but assert() is disabled
  when NDEBUG is defined
- Impact: Bounds checking never runs in debug OR release mode
- Fix: Changed to `#ifndef NDEBUG` so bounds checking runs in debug mode

All fixes have been:
- Verified to compile without errors
- Tested with bug reproduction test suite
- Documented in CODEBASE_REVIEW_REPORT.md

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>
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2 participants