Step 03 tool use
Now I can see the issue. Let me trace through the code when we have `nref_mask.multiply(1., handle_mask=np.bitwise_or)`:
1. `multiply` is called on `nref_mask` (which has a mask) with `operand=1.0`
2. This calls `_prepare_then_do_arithmetic(np.multiply, 1., None, handle_mask=np.bitwise_or)`
3. Since `self_or_cls` is an instance of NDArithmeticMixin, it goes into the first branch
4. `operand2` is None, so `operand2 = operand` (1.0) and `operand = self_or_cls` (nref_mask)
5. Then `operand2` is not a subclass of NDArithmeticMixin, so `operand2 = cls(operand2)` which converts 1.0 to an NDDataRef
6. Then `result, init_kwds = operand._arithmetic(operation, operand2, **kwargs)` is called
Now in `_arithmetic`:
- `operand` is now the NDDataRef created from 1.0 (no mask)
- `self` is the nref_mask (has a mask)
- `handle_mask=np.bitwise_or`
Let's look at the mask handling logic:
```python
if handle_mask is None:
pass
elif hasattr(result, "mask"):
# if numpy.ma or astropy.utils.masked is being used, the constructor
# will pick up the mask from the masked object:
kwargs["mask"] = None
elif handle_mask in ["ff", "first_found"]:
if self.mask is None:
kwargs["mask"] = deepcopy(operand.mask)
else:
kwargs["mask"] = deepcopy(self.mask)
else:
kwargs["mask"] = self._arithmetic_mask(
operation, operand, handle_mask, axis=axis, **kwds2["mask"]
)
```
So since `handle_mask=np.bitwise_or` (not None, not "ff"/"first_found"), it goes to `_arithmetic_mask`.
In `_arithmetic_mask`:
```python
def _arithmetic_mask(self, operation, operand, handle_mask, axis=None, **kwds):
# If only one mask is present we need not bother about any type checks
if (
self.mask is None and operand is not None and operand.mask is None
) or handle_mask is None:
return None
elif self.mask is None and operand is not None:
# Make a copy so there is no reference in the result.
return deepcopy(operand.mask)
elif operand is None:
return deepcopy(self.mask)
else:
# Now lets calculate the resulting mask (operation enforces copy)
return handle_mask(self.mask, operand.mask, **kwds)
```
Wait, let me check. `self` is the nref_mask (has mask), `operand` is the NDDataRef from 1.0 (no mask).
The first condition: `self.mask is None and operand is not None and operand.mask is None` - this is False because `self.mask` is not None (it has a mask).
Second condition: `self.mask is None and operand is not None` - False.
Third condition: `operand is None` - False, operand is not None.
So it falls through to `else: return handle_mask(self.mask, operand.mask, **kwds)`.
`self.mask` is the actual mask array (numpy array of ints), `operand.mask` is `None` because the NDDataRef created from 1.0 doesn't have a mask. So `np.bitwise_or(mask_array, None)` is called, which gives `TypeError: unsupported operand type(s) for |: 'int' and 'NoneType'`.
The bug is in `_arithmetic_mask`. The first condition checks `self.mask is None and operand is not None and operand.mask is None` - both are None. But it doesn't check the case where `operand.mask is None` but `self.mask` is not None.
The fix should add a condition to handle the case where one operand has a mask and the other doesn't. In that case, the mask from the one that has it should be returned (deepcopy).
Let me also check what happens when `self.mask` is None and `operand.mask` is not None - that's covered by `elif self.mask is None and operand is not None`. But when `self.mask` is not None and `operand.mask` is None, it falls through to the else.
The fix should be:
```python
elif operand is not None and operand.mask is None:
return deepcopy(self.mask)
```
Or more elegantly, restructure the conditions:
```python
if self.mask is None and (operand is None or operand.mask is None):
return None
elif self.mask is None:
return deepcopy(operand.mask)
elif operand is None or operand.mask is None:
return
... [truncated 607 characters]
I can see the bug. Let me trace through the code to confirm:
In `_arithmetic_mask`, when `self` has a mask but `operand` does not (e.g., multiplying a masked NDDataRef by a scalar), it falls through to `handle_mask(self.mask, operand.mask)` where `operand.mask` is `None`, causing `np.bitwise_or(int, None)` to fail.
The missing case is: when `operand` is not `None` but `operand.mask` is `None` (and `self.mask` is not `None`), it should just return a copy of `self.mask`.
edit_file{ path: "/testbed/astropy/nddata/mixins/ndarithmetic.py", old_string: " def _arithmetic_mask(self, operation, operand, handle_mask, axis=None, **kwds):\n \"\"\"\n Calculate the resulting mask.\n\n This is implement…", new_string: " def _arithmetic_mask(self, operation, operand, handle_mask, axis=None, **kwds):\n \"\"\"\n Calculate the resulting mask.\n\n This is implement…" }
tool result · edit_file
File /testbed/astropy/nddata/mixins/ndarithmetic.py edited successfully.