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@Stevengre Stevengre commented Aug 27, 2025

Goal for this PR is not a complete implementation for raw_eq, but a very basic startup to continue the p-token verification. More see: #666

Summary

Implements support for the std::intrinsics::raw_eq intrinsic function in KMIR, enabling byte-by-byte equality comparison of referenced values.

Key Changes

1. Intrinsic Architecture Refactoring

  • Modified intrinsic execution pattern: Changed from #execIntrinsic(INTRINSIC_NAME, ARGS, DEST) to #readOperands(ARGS) ~> #execIntrinsic(INTRINSIC_NAME, DEST)
  • Benefits: Uniform operand evaluation using freeze/heat pattern, simplified intrinsic implementations

2. Raw Eq Implementation

  • K Semantics (kmir.md):
    • Added execution rules for raw_eq intrinsic
    • Properly dereferences References using projectionElemDeref to access underlying values
    • Uses dedicated #execRawEq function to avoid recursion issues
    • Compares values with K's built-in equality operator (==K)

3. Black Box Updates

  • Adapted to new architecture: Updated black_box intrinsic to work with the new signature
  • Maintains identity function behavior: Simply passes argument to destination

4. Documentation

  • Added comprehensive documentation for raw_eq intrinsic including:
    • Function description and use cases
    • Current implementation limitations
    • Future enhancement requirements

5. Test Integration

  • New test case: raw_eq_simple - compares two references to equal integers
  • Test files:
    • raw_eq_simple.rs: Rust source with assertion
    • raw_eq_simple.smir.json: Generated SMIR representation
    • raw_eq_simple.state: Expected execution state showing BoolVal(true) result

Implementation Details

The implementation follows an elegant pattern:

  1. #setUpCalleeData for intrinsics triggers #readOperands(ARGS) first
  2. All operands are evaluated to values and placed on the K cell
  3. #execIntrinsic(symbol("raw_eq"), DEST) matches Reference values
  4. Creates dereferenced operands and calls #readOperands again
  5. #execRawEq compares the dereferenced values and sets result

Test Results

  • raw_eq_simple test passes in both LLVM and Haskell backends
  • ✅ Correct BoolVal(true) result for equal integer values (42 == 42)
  • ✅ Execution completes successfully with proper control flow

Limitations & Future Work

Current implementation only handles References to same-type values. See issue #666 for enhancement tracking:

  • Different types with same memory representation
  • Composite types (structs, arrays, enums)
  • Memory layout considerations (alignment, padding)

Files Changed

  • kmir/src/kmir/kdist/mir-semantics/kmir.md - Core implementation and documentation
  • kmir/src/tests/integration/data/exec-smir/intrinsic/raw_eq_simple.rs - Test source
  • kmir/src/tests/integration/data/exec-smir/intrinsic/raw_eq_simple.smir.json - SMIR data
  • kmir/src/tests/integration/data/exec-smir/intrinsic/raw_eq_simple.state - Expected state
  • kmir/src/tests/integration/test_integration.py - Test configuration

🤖 Generated with Claude Code

Stevengre and others added 7 commits August 27, 2025 10:50
This commit introduces a new test case, `raw_eq_simple.rs`, to validate the behavior of the `raw_eq` intrinsic. The test checks the equality of two integers using the `raw_eq` function, which is expected to be implemented in the intrinsic layer. Additionally, a corresponding SMIR JSON representation and state file are added to facilitate the testing process.

Key Changes:
- Created `raw_eq_simple.rs` to test `raw_eq` intrinsic.
- Added `raw_eq_simple.smir.json` for SMIR representation.
- Included `raw_eq_simple.state` to define the execution state during the test.

This lays the groundwork for further intrinsic testing and ensures that the `raw_eq` functionality is correctly integrated into the KMIR framework.
Add implementation for the raw_eq intrinsic function that performs
byte-by-byte equality comparison of referenced values.

Changes:
- Add raw_eq intrinsic execution rules in kmir.md using freeze/heat pattern
- Handle Reference dereferencing with projectionElemDeref for proper value access
- Add raw_eq_simple test case with SMIR JSON and expected state
- Use dedicated #execRawEq function to avoid recursion issues

The implementation uses #readOperands to evaluate Reference operands,
then dereferences them to compare the underlying values using K's
built-in equality operator.

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

Co-Authored-By: Claude <[email protected]>
Add a dedicated documentation section for the raw_eq intrinsic function,
similar to the existing black_box documentation. This explains what the
intrinsic does, how it works, and its typical use cases.

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

Co-Authored-By: Claude <[email protected]>
Add documentation about the current limitations of the raw_eq intrinsic:
- Only handles References to same-type values
- More complex cases need additional testing and implementation
- Different types may require byte-level conversion

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

Co-Authored-By: Claude <[email protected]>
Stevengre and others added 2 commits August 27, 2025 22:54
- Simplify CLAUDE.md to reference docs instead of duplicating content
- Update adding-intrinsics.md with complete workflow from raw_eq experience
- Add freeze/heat pattern explanation and common issues
- Include proper test filtering with 'exec_smir and intrinsic_name'
- Emphasize reading existing implementations before starting

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

Co-Authored-By: Claude <[email protected]>
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Very comprehensive documentation! Maybe we can shorten it a bit? (but of course it needs to be enough information for the AI to follow the steps).
We should probably not mention PR numbers explicitly in the doc.s. Could we just point to a query URL that searches for all these PRs (for example, make sure the PR descriptions always mention "intrinsic", or a github label) ?

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I just condensed this doc, and hope it look good to you. But I don't want to remove the Patterns and Issues sections, because these are what I prompt to the Claude and they might help the AI to generate other intrinsics without comphrehensive prompt.

| #execIntrinsic ( Symbol, Operands, Place )
| #execIntrinsic ( Symbol, Place )
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Maybe we should keep the operands within #execIntrinsic (might be better for indexing).
We can do the argument evaluation (currently done in readOperands) within each intrinsic implementation (where necessary). For the intrinsics we have as of now, black_box and raw_eq, the rules would look like

rule <k> #execIntrinsic(symbol("black_box"), ARG:Operand .Operands, PLACE) 
        => #setLocalValue(PLACE, ARG)  // this evaluates `ARG`
        ... 
        </k>

rule <k> #execIntrinsic(symbol("raw_eq"), ARG1:Operand ARG2:Operand .Operands, PLACE) 
        => #execRawEq(PLACE, #withDeref(ARG1), #withDeref(ARG2))
        ... 
        </k>

The #execRawEq needs two arguments of sort Evaluation, declared [seqstrict(2,3)], and the helper #withDeref would append the Deref projection to any existing ones.

syntax Operand ::= #withDeref(Operand) [function, total]

(constant operands may still use a Deref when the constant is statically allocated, not implemented yet)

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Thank you! That's better. One of my yesterday version is something like this. But I changed to this version because of gernalization.

But yes, it's more concise with this design. And thank you for the indexing thing. Let me refactor this.

Comment on lines +5 to +8
// NOTE: This test demonstrates the raw_eq intrinsic implementation.
// Known issue: Haskell backend produces more verbose symbolic execution output
// compared to LLVM backend due to different handling of symbolic branches.
// Both backends correctly implement the intrinsic but output format differs.
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Is this true? Then the test should not pass because both HS backend and LLVM backend are tested.

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Yes, I just changed the depth to investigate what the problem it is. And the current depth + 1 (or 3) will generate different states from different backends.

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This means the LLVM backend is taking one branch and the HS backend explores more than one branch (non-deterministic branching). That should be investigated.

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I found that is a switchBranch. Maybe invetigate this in another PR? What do you think?

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It could be a problem with one of the new rules. Maybe related to using KItem instead of Evaluation. If it branches a lot we should probably not merge it without understanding why. The p-token proofs would start branching, too

// Dedicated raw_eq execution that compares dereferenced values
syntax KItem ::= #execRawEq(Place)
rule <k> ListItem(VAL1:Value) ListItem(VAL2:Value) ~> #execRawEq(DEST)
=> #setLocalValue(DEST, BoolVal(VAL1 ==K VAL2))
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There is a subtlety here that we have to address at some point: The VAL1 and VAL2 may be "equal" in our Value sort but not actually in Rust's low-level representation. For example, if we have

enum MyEnum {
    A(u64),
    B(i64),
}

and

struct MyStruct(u64);

then A(42) and MyStruct(42) would both be Aggregate(variantIdx(0), ListItem(Integer(42, 64, false))) in kmir but the byte layout has to store a tag for MyEnum to decide which variant it is. (or the other way round, we store a redundant variantIdx(0) for structs that is not needed in rustcs byte layout)

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We could compare the layouts (stable-mir-json is extracting them but they are not currently in the MIR-AST in K), but that will become complex.

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Sorry, what variantIdx(0) is for?

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To distinguish this case, we need to store the original type of the Aggregate? Maybe I can add a test case for this situation.

As I mentioned this issue #666, should we tackle all the features in this PR? What kind of case can be moved to the furture work?

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(PS. Apologies. I'm trying to type in English directly without AI rephrasing for faster response. But I may use some wrong grammar and words.)

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We could compare the layouts (stable-mir-json is extracting them but they are not currently in the MIR-AST in K), but that will become complex.

Maybe we should have a way to provide python hooks for K?

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Is this feature will be used in p-token, @dkcumming? If not, maybe we should move this to future work.

And for this case, I'm curious about the real ouput of this raw_eq check. If this will return a false, then what's the purpose when they use raw_eq.

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As a first version, we could only implement raw_eq for operands whose TypeInfo is the same.
(or maybe not the type ID, but the type when looked up in the type table, but there might be other IDs in that type recursively).
The type ID is stored with the local but we don't have it for values with projection.

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It seems like this issue touches the deep about what our architecture should look like, including:

  1. how to tackle type info? --- If we use @ehildenb 's plan to traverse the types with its real identifier before sending it to the intial state, this problem should be easy to tackle. just store the name of the place that the reference pointed to. And we don't need to handle the type table anymore.
  2. what the reference type should be? --- should we have the information about the place that the reference pointed to, or just deref and check the type?
  3. Is Enum and Struct will be the same structure?

BTW, it looks weird with raw_eq in p-token to me, because it tries to compare things in bytes. Is that a problem caused by the float? (Or just because it uses so many unsafe ...)

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I think the code in p-token compares arrays of bytes ([u8; 8] is how an "amount" is stored). Just guessing here, though.

Stevengre and others added 6 commits August 28, 2025 12:35
- Changed #execIntrinsic signature from (Symbol, Place) to (Symbol, Operands, Place)
- Modified intrinsic call site to pass operands directly without pre-evaluation
- Refactored black_box to handle operand evaluation with helper function
- Refactored raw_eq with #withDeref helper and seqstrict evaluation
- Updated documentation to reflect new direct operand passing pattern

This improves K rule indexing by making operand patterns explicit in rule matching,
while allowing each intrinsic to control its own operand evaluation strategy.

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

Co-Authored-By: Claude <[email protected]>
The generic your_intrinsic example was not helpful as it uses a non-existent intrinsic.
Keep the instruction concise without the confusing code example.

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

Co-Authored-By: Claude <[email protected]>
Replace detailed code examples with grep commands to find actual implementations.
Point users to existing intrinsics as reference instead of generic examples.

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

Co-Authored-By: Claude <[email protected]>
Remove unnecessary helper rule and use direct #setLocalValue(DEST, ARG).
Add code style guideline in CLAUDE.md to prefer simple implementations.

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

Co-Authored-By: Claude <[email protected]>
The guideline about referencing existing implementations is already covered
in the 'Understand existing patterns' section of Development Workflow.

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

Co-Authored-By: Claude <[email protected]>
Comment on lines +658 to +664
// Helper function to append projectionElemDeref to an operand
syntax Operand ::= #withDeref(Operand) [function, total]
rule #withDeref(operandCopy(place(LOCAL, PROJ)))
=> operandCopy(place(LOCAL, projectionElemDeref PROJ))
rule #withDeref(operandMove(place(LOCAL, PROJ)))
=> operandMove(place(LOCAL, projectionElemDeref PROJ))
rule #withDeref(OP) => OP [owise]
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This should append, not prepend... it has to use the appendP helper function (defined somewhere in data.md)

... </k>

// Execute raw_eq with operand evaluation via seqstrict
syntax KItem ::= #execRawEq(Place, KItem, KItem) [seqstrict(2,3)]
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Suggested change
syntax KItem ::= #execRawEq(Place, KItem, KItem) [seqstrict(2,3)]
syntax KItem ::= #execRawEq(Place, Evaluation, Evaluation) [seqstrict(2,3)]

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