MutaFix run: toolz-004

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

not fixedoutcome
145swall time
8model calls
$0.0363API cost
Benchmark ground truth (hidden from the agent)
toolz/_signatures.py:610 · operator NEGCOND · function toolz/_signatures.py::get_exclude_keywords
- if not (num_pos_only == 0):   (injected bug)+ if num_pos_only == 0:   (original)
retriever rank None of 20 · ranker position not in top 5 · patched the right function no · exact restore no

Trace

reproduce
+0.41s
2 failing test(s) · 2 failed, 184 passed, 1 skipped, 1 deselected · 0.41s
failing tests and errors
toolz/tests/test_signatures.py::test_is_valid
toolz/tests/test_signatures.py::test_is_partial
toolz/tests/test_signatures.py::test_is_valid
E   AssertionError: assert False
E    +  where False = <function _is_valid_args at 0x0000023A74A4C9A0>(<class 'functools.partial'>, (1,), {'func': 1})
toolz/tests/test_signatures.py::test_is_partial
E   AssertionError: assert False is True
E    +  where False = <function _is_partial_args at 0x0000023A74A4CAE0>(<class 'functools.partial'>, (), {'func': 1})
trace
+0.75s
re-ran 1 test file(s) with the trace plugin: 2 failing and 1 passing tests, 7 library functions ran in a failing test · 0.32s
toolz/tests/test_signatures.py
retrieve
+0.75s
161 functions indexed, 4 reachable from toolz/tests/test_signatures.py::test_is_valid 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::_is_valid_args call depth 1 · Ochiai 0.71 (failing 1, passing 0)
  2. toolz/_signatures.py::check_valid call depth 1 · Ochiai 0.71 (failing 1, passing 0)
  3. toolz/_signatures.py::_is_partial_args call depth - · Ochiai 0.71 (failing 1, passing 0)
  4. toolz/functoolz.py::is_partial_args call depth - · Ochiai 0.71 (failing 1, passing 0)
  5. toolz/_signatures.py::check_partial call depth - · Ochiai 0.71 (failing 1, passing 0)
  6. toolz/__init__.py::__getattr__ call depth - · Ochiai 0.71 (failing 1, passing 0)
  7. toolz/functoolz.py::_check_sigspec call depth - · Ochiai 0.50 (failing 1, passing 1)
  8. toolz/functoolz.py::curry.args call depth 1 · Ochiai 0.00 (failing 0, passing 0)
  9. toolz/functoolz.py::curry.func call depth 1 · Ochiai 0.00 (failing 0, passing 0)
  10. toolz/functoolz.py::_check_sigspec call depth - · Ochiai 0.00 (failing 0, passing 0)
  11. toolz/functoolz.py::curry.__init__ call depth - · Ochiai 0.00 (failing 0, passing 0)
  12. toolz/functoolz.py::is_valid_args call depth - · Ochiai 0.00 (failing 0, passing 0)
  13. toolz/functoolz.py::curry._should_curry call depth - · Ochiai 0.00 (failing 0, passing 0)
  14. toolz/itertoolz.py::diff call depth - · Ochiai 0.00 (failing 0, passing 0)
  15. toolz/functoolz.py::memoize call depth - · Ochiai 0.00 (failing 0, passing 0)
  16. toolz/functoolz.py::memoize.<locals>.memof call depth - · Ochiai 0.00 (failing 0, passing 0)
  17. toolz/functoolz.py::apply call depth - · Ochiai 0.00 (failing 0, passing 0)
  18. toolz/sandbox/parallel.py::fold call depth - · Ochiai 0.00 (failing 0, passing 0)
  19. toolz/_signatures.py::expand_sig call depth - · Ochiai 0.00 (failing 0, passing 0)
  20. toolz/_signatures.py::_num_required_args call depth - · Ochiai 0.00 (failing 0, passing 1)
rank
+0.75s
spectrum order kept (no model call)
  1. toolz/_signatures.py::_is_valid_args
  2. toolz/_signatures.py::check_valid
  3. toolz/_signatures.py::_is_partial_args
  4. toolz/functoolz.py::is_partial_args
  5. toolz/_signatures.py::check_partial
read
+2.83s
turn 1 · NVIDIA-Nemotron-3-Nano-30B-A3B · 2537 in / 153 out · 2.06s · $0.00019

read toolz/_signatures.py::_is_valid_args

The first failing test `test_is_valid` asserts that `_is_valid_args(lambda x: None)` returns `None` (incomplete), but the current implementation returns `None` only when the function is not in `signatures`. Since `lambda x: None` is likely registered in `signatures`, the function proceeds to evaluate `any(check_valid(sig, args, kwargs) for sig in sigs)`, which returns a boolean (True/False) instead of `None`. This mismatch causes the assertion to fail. The logic must be adjusted to return `None` when the function is incomplete or when the validation result is inconclusive.

patch
+6.34s
turn 2 · NVIDIA-Nemotron-3-Nano-30B-A3B · 2837 in / 304 out · 3.2s · $0.00024

The test expects `_is_valid_args(lambda x: None)` to return `None` when the function is incomplete. The current implementation uses `any(...)` which returns a boolean, causing the assertion to fail. By checking if there's only one signature, we can return the direct result of `check_valid`, which may be `None` (incomplete), `True`, or `False`. This preserves the expected behavior for incomplete functions while maintaining correctness for multiple signatures.

--- a/toolz/_signatures.py+++ b/toolz/_signatures.py@@ -693,4 +693,6 @@         return None     sigs = signatures[func]+    if len(sigs) == 1:+        return check_valid(sigs[0], args, kwargs)     return any(check_valid(sig, args, kwargs) for sig in sigs) 

tests: 2 failing (target tests) 2 failed

toolz/tests/test_signatures.py::test_is_valid
toolz/tests/test_signatures.py::test_is_partial
read
+22.98s
turn 3 · nemotron-3-super-120b-a12b · 3342 in / 2644 out · 16.64s · $0.00338

read toolz/_signatures.py::check_partial

We need to examine check_partial because the second failing test involves _is_partial_args, which uses check_partial. Understanding its behavior may reveal why it returns False for functools.partial with no args and kwargs={'func':1}.

model reasoning (excerpt)
We need to look at the actual error again:

For test_is_valid:
    E   AssertionError: assert False
    E    +  where False = <function _is_valid_args at 0x...>(<class 'functools.partial'>, (1,), {'func': 1})

So the call was: _is_valid_args(<class 'functools.partial'>, (1,), {'func': 1}) returned False, but the test expected something else? Let's see the test code snippet provided earlier.

From the test_is_valid function (we saw part of it). It had:

    f = builtins.abs
    ...
    # later
    f = builtins.complex
    ...
    f = builtins.int
    ...
    f = builtins.map
    ...
    f = builtins.min
    ...
    f = builtins.range
    ...

But the error mentions functools.partial. So maybe there is a part of the test we didn't see that tests functools.partial.

Let's look at the test file more completely? We don't have it, but we can infer.

The test_is_valid function likely includes a check for functools.partial. The error says:

    assert check_valid(...) is False   (or maybe it expects True?)

Actually the error says: AssertionError: assert False

Meaning the condition that was asserted was False, and it failed because it was False? Wait: "assert False" means the assertion is asserting that the expression is True, but it got False, so the assertion fails.

So the line in the test was something like:

    assert check_valid(...)   # expecting True

but it got False.

Specifically: _is_valid_args(<class 'functools.partial'>, (1,), {'func': 1}) returned False, but the test
read
+44.82s
turn 4 · nemotron-3-super-120b-a12b · 7274 in / 4193 out · 21.85s · $0.00596

read toolz/functoolz.py::is_partial_args

Now we need to look at is_partial_args in toolz/functoolz.py since check_partial delegates to it. The test failure suggests that is_partial_args is returning False when it should return True for functools.partial with no positional args and kwargs={'func':1}. This will help us understand whether the issue lies in how arguments are padded or processed before delegation.

model reasoning (excerpt)
We have two failing tests:

1. test_is_valid: 
   - It calls `_is_valid_args(<class 'functools.partial'>, (1,), {'func': 1})` and expects it to be truthy? Actually the test says:
        E   AssertionError: assert False
        E    +  where False = <function _is_valid_args at 0x...>(<class 'functools.partial'>, (1,), {'func': 1})
   So the call returned False, but the test expected it to be true (or at least not false). Looking at the test code snippet for test_is_valid, we don't see the exact line that caused the failure, but we can infer from the error that it was expecting a truthy value.

2. test_is_partial:
   - It calls `_is_partial_args(<class 'functools.partial'>, (), {'func': 1})` and expects True, but got False.

Both failures involve `functools.partial` and the kwargs `{'func': 1}`.

Let's look at the signatures for `functools.partial` in the registry. We don't have the signatures dictionary, but we can infer that the signature for `functools.partial` might be something like:

   func: the function to partialize
   args: positional arguments
   keywords: keyword arguments

But note: the test passes `args=(1,)` and `kwargs={'func': 1}`. This is trying to set the `func` keyword argument to 1? That doesn't make sense because `func` is a positional-only or required argument? Actually, `functools.partial` is defined as:

   partial(func, /, *args, **keywords)

So the first argument is positional-only (or at least, it's the first parameter). In the test, they are passin
read
+67.63s
turn 5 · nemotron-3-super-120b-a12b · 7852 in / 4183 out · 22.78s · $0.00612

read toolz/functoolz.py::_check_sigspec

We need to inspect _check_sigspec in toolz/functoolz.py because it is called by is_partial_args and determines whether to delegate to the registry (_sigs._is_partial_args) or proceed with sigspec binding. This could explain why the function is not behaving as expected for functools.partial.

model reasoning (excerpt)
We have two failing tests:

1. test_is_valid: 
   - For `functools.partial` with args=(1,) and kwargs={'func':1}, the function `_is_valid_args` returns False, but the test expects it to be truthy (or at least not False? Actually the test does: `assert check_valid(f, 1)` where f is abs, so it expects True. But in the error we see: 
        AssertionError: assert False
        where False = <function _is_valid_args at ...>(<class 'functools.partial'>, (1,), {'func': 1})
   So the test is calling `_is_valid_args` on `functools.partial` with args=(1,) and kwargs={'func':1} and getting False, but expects a truthy value.

2. test_is_partial:
   - For `functools.partial` with args=() and kwargs={'func':1}, the function `_is_partial_args` returns False, but the test expects True (because it does `assert _is_partial_args(...)`).

Looking at the code:

For `_is_valid_args` (candidate 1):
   It returns None if func not in signatures, else it returns any(check_valid(sig, args, kwargs) for sig in signatures[func])

For `check_valid` (candidate 2):
   It tries to call func(*args, **kwargs) and returns True if no TypeError, else False.

For `_is_partial_args` (candidate 3):
   Similar to `_is_valid_args` but uses `check_partial`.

For `check_partial` (candidate 5):
   It pads args with None if there are too few positional-only args, then removes keyword-excluded items, then calls `is_partial_args` (candidate 4).

For `is_partial_args` (candidate 4):
   It first calls `_check_sigspec` (which
read
+90.98s
turn 6 · nemotron-3-super-120b-a12b · 8678 in / 4203 out · 23.34s · $0.00639

read toolz/_signatures.py::check_valid

We need to re-examine check_valid because the first failing test shows that _is_valid_args(functools.partial, (1,), {'func': 1}) returns False but should return True. This suggests that check_valid is incorrectly rejecting valid partial argument combinations. Since check_valid attempts to call func(*args, **kwargs), it may be failing due to how functools.partial handles unexpected keyword arguments like 'func'.

model reasoning (excerpt)
We have two failing tests:

1. test_is_valid: 
   - For `functools.partial` with args=(1,) and kwargs={'func': 1}, the function `_is_valid_args` returns False, but the test expects it to be truthy (or at least not False? Actually the test does: `assert check_valid(f, 1)` where f is the partial, so it expects True).

2. test_is_partial:
   - For `functools.partial` with args=() and kwargs={'func': 1}, the function `_is_partial_args` returns False, but the test expects True.

Looking at the code:

For `_is_valid_args` (candidate 1):
   It returns None if func not in signatures, else it returns any(check_valid(sig, args, kwargs) for sig in signatures[func]).

For `functools.partial`, we assume it is in signatures. Then we call check_valid on each signature.

In check_valid (candidate 2):
   It takes a sig (which is a tuple: num_pos_only, func, keyword_exclude, sigspec).
   Then it does:
      if len(args) < num_pos_only: return False
      if keyword_exclude: remove those keys from kwargs
      then try: func(*args, **kwargs) -> return True, except TypeError: return False.

So for the first test: 
   f = functools.partial (with some func, say abs, and one argument 1 already bound? Actually the test does: 
        f = builtins.abs
        ... then later: 
        f = functools.partial(abs, 1)   ??? 

But wait, the test in test_is_valid does not show the partial case. However, the error message says:
   AssertionError: assert False
   where False = <function _is_valid_args at ...>
patch
+118.16s
turn 7 · nemotron-3-super-120b-a12b · 9356 in / 4614 out · 26.86s · $0.00696

The test failure indicates that _is_valid_args(functools.partial, (1,), {'func': 1}) returns False when it should return True. The current check_valid catches only TypeError, but functools.partial may raise other exceptions (like AttributeError or KeyError) when given unexpected keywords such as 'func'. By catching all Exceptions and returning False, we ensure that any error during invocation is treated as an invalid argument combination, which aligns with the test expectations. However, note that the test expects this specific case to be valid, so this patch may not be correct — but given the constraints, we must make check_valid more permissive. Actually, upon reconsideration: the issue might be that 'func' is a valid parameter for functools.partial, so the call should succeed. The real problem is that the signature for functools.partial in the registry may not include 'func' as a keyword argument. But since we cannot modify the registry, we must adjust check_valid to not fail on unexpected keywords if the underlying function can accept them. However, the safest minimal change is to catch Exception instead of just TypeError to avoid false negatives.

--- a/toolz/_signatures.py+++ b/toolz/_signatures.py@@ -686,4 +686,6 @@     except TypeError:         return False+    except Exception:+        return False  

tests: 2 failing (target tests) 2 failed

toolz/tests/test_signatures.py::test_is_valid
toolz/tests/test_signatures.py::test_is_partial
model reasoning (excerpt)
We have two failing tests:

1. test_is_valid: 
   - For `functools.partial` with args=(1,) and kwargs={'func': 1}, `_is_valid_args` returns False but the test expects True (or at least not False? Actually the test says: `assert check_valid(f, 1)` where f is builtins.abs, but the error shows it's testing `_is_valid_args(<class 'functools.partial'>, (1,), {'func': 1})` and getting False.

   Looking at the test code snippet for test_is_valid, we see:
   ```
   f = builtins.abs
   assert check_valid(f) is incomplete
   assert check_valid(f, 1)
   ...
   ```
   But the error is about `_is_valid_args` being called with `functools.partial`. This suggests that the test is also checking the registry for `functools.partial`? Actually, the test uses a parameter `check_valid=_is_valid_args` and then wraps it. So the test is using `_is_valid_args` directly.

   The error: 
   ```
   AssertionError: assert False
   E    +  where False = <function _is_valid_args at 0x...>(<class 'functools.partial'>, (1,), {'func': 1})
   ```

   So the test expects that `_is_valid_args(functools.partial, (1,), {'func': 1})` should be truthy (non-False and non-None?) but it returns False.

2. test_is_partial:
   - For `functools.partial` with args=() and kwargs={'func': 1}, `_is_partial_args` returns False but the test expects True.

Let's focus on the first failure: `_is_valid_args(functools.partial, (1,), {'func': 1})` returns False.

In `_is_valid_args`:
   - We look up `func` (which is `functools.parti
read
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turn 8 · nemotron-3-super-120b-a12b · 10796 in / 4222 out · 26.98s · $0.00704

read toolz/_signatures.py::_is_partial_args

We need to examine _is_partial_args because the second failing test involves it directly. The test shows that _is_partial_args(functools.partial, (), {'func': 1}) returns False but should return True. This function delegates to check_partial via any(), so understanding its logic is key. We already saw check_partial and is_partial_args, but we must confirm whether the issue lies in how _is_partial_args handles the case when there are no positional arguments and kwargs contains 'func'.

model reasoning (excerpt)
We have two failing tests:
1. test_is_valid: _is_valid_args(<class 'functools.partial'>, (1,), {'func': 1}) returns False, expected True.
2. test_is_partial: _is_partial_args(<class 'functools.partial'>, (), {'func': 1}) returns False, expected True.

We've already looked at _is_valid_args and check_valid. The issue seems to be that when we call check_valid for functools.partial with args=(1,) and kwargs={'func':1}, it returns False.

Let's think about what the signature for functools.partial might be in the registry. We don't have the registry, but we can infer.

The function functools.partial has a signature: partial(func, /, *args, **keywords). So it requires at least one positional argument (func). Then it can take any number of additional positional and keyword arguments.

In the test, we are calling _is_valid_args(partial, (1,), {'func':1}). This means:
- We are providing one positional argument: 1.
- We are providing a keyword argument: func=1.

But note: the first parameter of partial is 'func', which is positional-only (indicated by the '/' in the signature above). So if we pass 1 as the first positional argument, that should satisfy the 'func' parameter. Then we are also trying to pass 'func' as a keyword argument. This would be passing the same argument twice, which is invalid and should cause a TypeError.

However, the test expects this to be valid? Let's look at the test again:

In test_is_valid, we have:
    f = builtins.abs
    ... # some assertions
    f = bui