Pin numpy<2.2 in lint workflow #722
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Somehow, with numpy 2.2, the mypy fails with the following error: ``` qiskit_addon_cutting/cut_finding/circuit_interface.py:318: error: No overload variant of "__getitem__" of "Sequence" matches argument type "signedinteger[_32Bit | _64Bit]" [call-overload] qiskit_addon_cutting/cut_finding/circuit_interface.py:318: note: Possible overload variants: qiskit_addon_cutting/cut_finding/circuit_interface.py:318: note: def __getitem__(self, int, /) -> int | tuple[str, int] qiskit_addon_cutting/cut_finding/circuit_interface.py:318: note: def __getitem__(self, slice, /) -> Sequence[int | tuple[str, int]] qiskit_addon_cutting/cut_finding/disjoint_subcircuits_state.py:330: error: Invalid index type "Hashable" for "ndarray[tuple[int, ...], dtype[signedinteger[_32Bit | _64Bit]]]"; expected type "SupportsIndex | slice | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | tuple[SupportsIndex | slice | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None, ...] | None" [index] ``` Hence we pin numpy as a workaround.
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Somehow, with numpy 2.2, the mypy fails with the following error: ``` qiskit_addon_cutting/cut_finding/circuit_interface.py:318: error: No overload variant of "__getitem__" of "Sequence" matches argument type "signedinteger[_32Bit | _64Bit]" [call-overload] qiskit_addon_cutting/cut_finding/circuit_interface.py:318: note: Possible overload variants: qiskit_addon_cutting/cut_finding/circuit_interface.py:318: note: def __getitem__(self, int, /) -> int | tuple[str, int] qiskit_addon_cutting/cut_finding/circuit_interface.py:318: note: def __getitem__(self, slice, /) -> Sequence[int | tuple[str, int]] qiskit_addon_cutting/cut_finding/disjoint_subcircuits_state.py:330: error: Invalid index type "Hashable" for "ndarray[tuple[int, ...], dtype[signedinteger[_32Bit | _64Bit]]]"; expected type "SupportsIndex | slice | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | tuple[SupportsIndex | slice | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None, ...] | None" [index] ``` Hence we pin numpy as a workaround. (cherry picked from commit d44ca0a) # Conflicts: # pyproject.toml
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* Pin numpy<2.2 in lint workflow (#722) Somehow, with numpy 2.2, the mypy fails with the following error: ``` qiskit_addon_cutting/cut_finding/circuit_interface.py:318: error: No overload variant of "__getitem__" of "Sequence" matches argument type "signedinteger[_32Bit | _64Bit]" [call-overload] qiskit_addon_cutting/cut_finding/circuit_interface.py:318: note: Possible overload variants: qiskit_addon_cutting/cut_finding/circuit_interface.py:318: note: def __getitem__(self, int, /) -> int | tuple[str, int] qiskit_addon_cutting/cut_finding/circuit_interface.py:318: note: def __getitem__(self, slice, /) -> Sequence[int | tuple[str, int]] qiskit_addon_cutting/cut_finding/disjoint_subcircuits_state.py:330: error: Invalid index type "Hashable" for "ndarray[tuple[int, ...], dtype[signedinteger[_32Bit | _64Bit]]]"; expected type "SupportsIndex | slice | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | tuple[SupportsIndex | slice | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None, ...] | None" [index] ``` Hence we pin numpy as a workaround. (cherry picked from commit d44ca0a) # Conflicts: # pyproject.toml * resolve conflict --------- Co-authored-by: Jim Garrison <garrison@ibm.com>
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Somehow, with numpy 2.2, the mypy fails with the following error:
Hence we pin numpy as a workaround.