MutaFix run: toolz-002

ranker nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B · patcher nvidia/nemotron-3-super-120b-a12b · via Nebius Token Factory

not fixedoutcome
103swall time
8model calls
$0.0231API cost
Benchmark ground truth (hidden from the agent)
toolz/_signatures.py:757 · operator NEGCOND · function toolz/_signatures.py::check_keywords
- if not (keyword_exclude):   (injected bug)+ if keyword_exclude:   (original)
retriever rank 2 of 20 · ranker position 2 · patched the right function no · exact restore no

Trace

reproduce
+0.41s
1 failing test(s) · 1 failed, 185 passed, 1 skipped, 1 deselected · 0.41s
failing tests and errors
toolz/tests/test_inspect_args.py::test_has_keywords
toolz/tests/test_inspect_args.py::test_has_keywords
E   assert False
E    +  where False = has_keywords(max)
trace
+0.76s
re-ran 1 test file(s) with the trace plugin: 1 failing and 16 passing tests, 4 library functions ran in a failing test · 0.33s
toolz/tests/test_inspect_args.py
retrieve
+0.76s
161 functions indexed, 8 reachable from toolz/tests/test_inspect_args.py::test_has_keywords in the static call graph. Kept 20 candidates, ranked by spectrum score (Ochiai), call graph and BM25 break ties.
candidates in retriever order
  1. toolz/_signatures.py::_has_keywords call depth 2 · Ochiai 1.00 (failing 1, passing 0)
  2. toolz/_signatures.py::check_keywords call depth 3 · Ochiai 1.00 (failing 1, passing 0)
  3. toolz/functoolz.py::has_keywords call depth 1 · Ochiai 0.58 (failing 1, passing 2)
  4. toolz/functoolz.py::_check_sigspec call depth 2 · Ochiai 0.25 (failing 1, passing 15)
  5. toolz/functoolz.py::_check_sigspec call depth 2 · Ochiai 0.00 (failing 0, passing 0)
  6. toolz/functoolz.py::curry.func call depth 2 · Ochiai 0.00 (failing 0, passing 5)
  7. toolz/functoolz.py::curry.__signature__ call depth 3 · Ochiai 0.00 (failing 0, passing 4)
  8. toolz/functoolz.py::Compose.__signature__ call depth 3 · Ochiai 0.00 (failing 0, passing 0)
  9. toolz/__init__.py::__getattr__ call depth - · Ochiai 0.00 (failing 0, passing 1)
  10. toolz/_signatures.py::expand_sig call depth - · Ochiai 0.00 (failing 0, passing 1)
  11. toolz/_signatures.py::get_exclude_keywords call depth - · Ochiai 0.00 (failing 0, passing 1)
  12. toolz/functoolz.py::curry._should_curry call depth - · Ochiai 0.00 (failing 0, passing 3)
  13. toolz/itertoolz.py::merge_sorted call depth - · Ochiai 0.00 (failing 0, passing 0)
  14. toolz/functoolz.py::curry.__init__ call depth - · Ochiai 0.00 (failing 0, passing 4)
  15. toolz/curried/exceptions.py::merge call depth - · Ochiai 0.00 (failing 0, passing 0)
  16. toolz/functoolz.py::memoize call depth - · Ochiai 0.00 (failing 0, passing 0)
  17. toolz/curried/exceptions.py::merge_with call depth - · Ochiai 0.00 (failing 0, passing 0)
  18. toolz/functoolz.py::Compose._combined_annotations call depth - · Ochiai 0.00 (failing 0, passing 0)
  19. toolz/_signatures.py::check_valid call depth - · Ochiai 0.00 (failing 0, passing 0)
  20. toolz/_signatures.py::check_partial call depth - · Ochiai 0.00 (failing 0, passing 1)
rank
+0.76s
spectrum order kept (no model call)
  1. toolz/_signatures.py::_has_keywords
  2. toolz/_signatures.py::check_keywords
  3. toolz/functoolz.py::has_keywords
  4. toolz/functoolz.py::_check_sigspec
  5. toolz/functoolz.py::_check_sigspec
read
+9.98s
turn 1 · NVIDIA-Nemotron-3-Nano-30B-A3B · 1894 in / 113 out · 9.22s · $0.00014

read toolz/_signatures.py::_has_keywords

The failing test checks that has_keywords(max) returns False, but the current implementation of _has_keywords(max) returns True. This suggests a logic error in how the function determines if a signature has keywords. The function returns True when all checks pass, but for built-in functions like max, it may be incorrectly concluding that all checks pass when they should not. Examining _has_keywords will help identify the incorrect condition or return value.

patch
+11.99s
turn 2 · NVIDIA-Nemotron-3-Nano-30B-A3B · 2177 in / 175 out · 2.01s · $0.00017

patch on toolz/_signatures.py::_has_keywords rejected: patched file does not parse: unindent does not match any outer indentation level (line 769)

The function _has_keywords is expected to return False for built-in functions like max that do not have keywords in their signature. However, it currently returns True when all checks pass, which is incorrect. The logic should be inverted: if all checks pass, it should return False, and if any check passes, it should return None. This change aligns with the test expectation that has_keywords(max) should return False.

the edit it proposed
     if all(checks):
        return True
    elif any(checks):
        return None
    return False
     if all(checks):
        return False
    elif any(checks):
        return None
    return False
read
+14.58s
turn 3 · nemotron-3-super-120b-a12b · 2398 in / 367 out · 2.58s · $0.00105

read toolz/_signatures.py::_has_keywords

Need to see exact whitespace to craft a proper patch.

model reasoning (excerpt)
We need to ensure proper indentation. Let's look at the original lines again:

Lines 762-771:
  762 | def _has_keywords(func):
  763 |     if func not in signatures:
  764 |         return None
  765 |     sigs = signatures[func]
  766 |     checks = [check_keywords(sig) for sig in sigs]
  767 |     if all(checks):
  768 |         return True
  769 |     elif any(checks):
  770 |         return None
  771 |     return False

Indentation: each level is 4 spaces? Actually the snippet shows two spaces before the code? But we can assume standard 4 spaces. We need to preserve indentation.

Our new block should be:

     if all(checks):
         return False
     elif any(checks):
         return None
     return False

But note that the line numbers might shift. We'll replace exactly the lines from 767 to 771 inclusive.

Let's write the old string exactly as those lines (including leading spaces). We need to copy exactly from the candidate. Since we don't have the exact whitespace, we can approximate but must match. Better to read the candidate again? We only have one read left? Actually we have turns left 6, reads left 3. We can read again to see exact whitespace.

Let's do a read of candidate 1 again to see the exact indentation.
read
+33.97s
turn 4 · nemotron-3-super-120b-a12b · 2598 in / 3904 out · 19.39s · $0.00429

read toolz/_signatures.py::check_keywords

Need to understand check_keywords to see why it might be returning False for max signatures.

model reasoning (excerpt)
We need to swap the return values: when all checks true -> return False? Wait let's think about what _has_keywords is supposed to mean.

From test: has_keywords(max) expects False. So _has_keywords(max) should return something that leads to final result False.

Let's trace:

has_keywords(func, sigspec=None):
    sigspec, rv = _check_sigspec(sigspec, func, _sigs._has_keywords, func)
    if sigspec is None:
        return rv
    ... (if we got a Signature, then compute based on parameters)

So for builtins like max, _check_sigspec will call _sigs._has_keywords (which is _has_keywords) as builtin_func, with builtin_args=(func,). It tries to get signature via inspect.signature; if that fails, it catches and sets sigspec = e (exception). Then if isinstance(sigspec, ValueError): return None, builtin_func(*builtin_args). That means: if inspect.signature raises ValueError, we return (None, _has_keywords(func)). Similarly for TypeError.

If inspect.signature succeeds, we return (sigspec, None).

Thus for max, inspect.signature(max) likely succeeds? Actually max is a built-in function; inspect.signature may raise ValueError? Let's recall: In Python, inspect.signature(max) works? I think it does: signature(max) returns (args, *, key=None)? Actually max signature: max(iterable, *[, default, key]) or max(arg1, arg2, *args[, key]). So it has a keyword-only parameter 'key'. So inspect.signature(max) should succeed and return a Signature with a keyword-only parameter. Therefore _check_sigspe
read
+46.52s
turn 5 · nemotron-3-super-120b-a12b · 2753 in / 1998 out · 12.55s · $0.00262

read toolz/_signatures.py::expand_sig

To understand how the signatures dictionary is built and what entries look like for built-ins like max.

model reasoning (excerpt)
We need to figure out what's happening. The test expects has_keywords(max) -> False. Let's trace:

has_keywords(max) calls _check_sigspec(sigspec=None, func=max, builtin_func=_sigs._has_keywords, func) because in functoolz.py line 977: sigspec, rv = _check_sigspec(sigspec, func, _sigs._has_keywords, func). So builtin_func is _sigs._has_keywords, and *builtin_args is (func,) i.e., (max,).

Then _check_sigspec (lines 917-935) sees sigspec is None, tries to get inspect.signature(max). For built-in max, inspect.signature may raise ValueError or TypeError? Actually, inspect.signature(max) works in Python 3.4+? It returns a Signature object. So sigspec becomes a Signature object. Then it checks: if isinstance(sigspec, ValueError): no. elif not isinstance(sigspec, inspect.Signature): it is a Signature, so skip. Then return sigspec, None. So _check_sigspec returns (signature_of_max, None).

Back in has_keywords: sigspec, rv = ... so sigspec is signature_of_max, rv is None. Since sigspec is not None, we go to line 980: return any(p.default is not p.empty or p.kind in (p.KEYWORD_ONLY, p.VAR_KEYWORD) for p in sigspec.parameters.values()).

So has_keywords(max) reduces to checking if any parameter of max has a default or is keyword-only or var-keyword. The signature of max is: max(iterable, *[, key, default]) or max(arg1, arg2, *args[, key, default]). Actually, in Python, max has two forms: max(iterable, *[, key, default]) and max(arg1, arg2, *args[, key, default]). The parameters are: t
patch
+60.09s
turn 6 · nemotron-3-super-120b-a12b · 3349 in / 2068 out · 13.27s · $0.00287

Changing the return value from True to False when all checks pass will make has_keywords(max) return False, as required by the test. This is because the test expects max to not have keywords, so when all signature checks indicate no keywords (i.e., all checks are False? Wait, we need to verify the logic). Actually, we must understand what check_keywords returns. However, given the test failure and the fact that the test expects False, and the current code returns True when all checks pass, inverting that specific return value should fix the test for max while preserving the behavior for other functions (like int and sorted) that are expected to return True. We'll verify by running the tests after the patch.

--- a/toolz/_signatures.py+++ b/toolz/_signatures.py@@ -766,5 +766,5 @@     checks = [check_keywords(sig) for sig in sigs]     if all(checks):-        return True+        return False     elif any(checks):         return None

tests: 1 failing (target tests) 1 failed

toolz/tests/test_inspect_args.py::test_has_keywords
model reasoning (excerpt)
We need to figure out why has_keywords(max) returns True when it should return False.
 Let's trace:

 has_keywords(max) -> calls _check_sigspec(None, max, _sigs._has_keywords, max) because sigspec is None.
 In _check_sigspec (lines 917-935), since sigspec is None, it tries to get inspect.signature(max).
 For built-in functions like max, inspect.signature may raise ValueError? Actually, in Python, inspect.signature(max) works and returns a Signature.

 So, _check_sigspec returns (sigspec, None) where sigspec is the Signature object for max.

 Then, back in has_keywords (lines 976-982), since sigspec is not None, it goes to:
   return any(p.default is not p.empty
              or p.kind in (p.KEYWORD_ONLY, p.VAR_KEYWORD)
              for p in sigspec.parameters.values())

 Now, what is the signature of max? In Python, max has two forms:
   max(iterable, *[, key, default])
   max(arg1, arg2, *args[, key, default])

 But the built-in max function in Python does not have keyword-only parameters? Actually, it does have `key` and `default` as keyword-only? Let's check.

 However, note that the test expects has_keywords(max) to be False. So the current implementation of has_keywords must be returning True for max.

 That means that in the signature of max, there is at least one parameter that either has a default or is KEYWORD_ONLY or VAR_KEYWORD.

 Let's check the actual signature of max in the current environment.

 Alternatively, we can look at the _signatures module to see how m
read
+81.13s
turn 7 · nemotron-3-super-120b-a12b · 7230 in / 4170 out · 21.03s · $0.00592

read toolz/_signatures.py::_has_keywords

Now the test shows that has_keywords(int) is False but should be True. So my previous patch broke the case for int. This means the logic in _has_keywords is more nuanced. I need to understand what check_keywords returns for int vs max.

model reasoning (excerpt)
We have a problem: after changing the return value from True to False when all checks pass, now has_keywords(int) returns False but the test expects it to be True.
 Let's look at the test again:
   assert has_keywords(int)
 So int should return True (or truthy). Our change made it return False.

 Therefore, we cannot simply invert the return value for the all(checks) case.

 Let's think about what the function is supposed to do.

 The function _has_keywords(func) is used by has_keywords for built-ins (via the signatures registry).

 The test expects:
   has_keywords(lambda: None) -> False
   has_keywords(lambda x: None) -> False
   has_keywords(lambda x=1: None) -> True
   has_keywords(lambda **kwargs: None) -> True
   has_keywords(int) -> True
   has_keywords(sorted) -> True
   has_keywords(max) -> False

 So for built-ins, we want:
   int and sorted: True (they have keyword parameters)
   max: False (it does not have keyword parameters)

 How does the current logic work?

   checks = [check_keywords(sig) for sig in sigs]

   Then:
      if all(checks): return True
      elif any(checks): return None
      else: return False

 For a function with multiple signatures (like some overloaded functions?), we combine the results.

 But for built-ins like int, sorted, max, they probably have one signature in the registry.

 Let's assume that for int, the check_keywords returns True (because int has keyword parameters? Actually, int(x, base=10) has a keyword argument 'base').
 For m
read
+102.73s
turn 8 · nemotron-3-super-120b-a12b · 7718 in / 4134 out · 21.590000000000003s · $0.00604

read toolz/_signatures.py::check_keywords

I need to see exactly what check_keywords does to understand the meaning of its return value.

model reasoning (excerpt)
We need to understand what check_keywords returns for each signature of int and max.
 Let's think: The function _has_keywords returns:
   True if all checks are True -> meaning every signature has keywords?
   None if any check is True (but not all) -> mixed?
   False if no checks are True -> meaning no signature has keywords?

 But the test expects:
   has_keywords(int) -> True
   has_keywords(max) -> False

 So for int, we want _has_keywords(int) to return True.
 For max, we want _has_keywords(max) to return False.

 Therefore, for int: all(checks) must be True -> then we return True (current behavior).
 For max: we want to return False, which happens when no checks are True (i.e., all(checks) is False and any(checks) is False).

 So the problem is that for max, we are getting at least one check True? Then we would return None (if any but not all) or True (if all).

 Let's examine what check_keywords does.

 check_keywords(sig):
   num_pos_only, func, keyword_exclude, sigspec = sig
   if not (keyword_exclude):
        return True
   return has_keywords(func, sigspec)

 So if keyword_exclude is empty, check_keywords returns True.
 Otherwise, it returns the result of has_keywords(func, sigspec).

 Now, what is in the signatures for int and max?

 We don't have the data, but we can infer:

 For int: maybe the signature has no keyword_exclude? Then check_keywords returns True for each signature -> all(checks) True -> _has_keywords returns True -> good.

 For max: maybe the sign