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BQSKit · Jan 19, 2023 · e3ceab1 · e3ceab1
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commit e3ceab1
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Showing 4 changed files with 20 additions and 20 deletions.
diff --git a/bqskit/exec/results.py b/bqskit/exec/results.py
@@ -24,4 +24,4 @@ def get_counts(self, shots: int) -> npt.NDArray[np.int64]:
         return np.asarray(np.multiply(shots, self.probs), np.int64)
 
     def __str__(self) -> str:
-        pass
+        return str(self.probs)
diff --git a/bqskit/ir/gates/composedgate.py b/bqskit/ir/gates/composedgate.py
@@ -24,11 +24,11 @@ class ComposedGate(Gate):
     def is_differentiable(self) -> bool:
         """Check if all sub gates are differentiable."""
         if hasattr(self, 'gate'):
-            return isinstance(self.gate, DifferentiableUnitary)  # type: ignore
+            return isinstance(self.gate, DifferentiableUnitary)
         if hasattr(self, 'gates'):
             return all(
                 isinstance(gate, DifferentiableUnitary)
-                for gate in self.gates  # type: ignore
+                for gate in self.gates
             )
 
         raise AttributeError(
@@ -40,12 +40,12 @@ def is_locally_optimizable(self) -> bool:
         """Check if all sub gates are locally optimizable."""
         if hasattr(self, 'gate'):
             return isinstance(
-                self.gate, LocallyOptimizableUnitary,  # type: ignore
+                self.gate, LocallyOptimizableUnitary,
             )
         if hasattr(self, 'gates'):
             return all(
                 isinstance(gate, LocallyOptimizableUnitary)
-                for gate in self.gates  # type: ignore
+                for gate in self.gates
             )
 
         raise AttributeError(
@@ -55,9 +55,9 @@ def is_locally_optimizable(self) -> bool:
 
     def __hash__(self) -> int:
         if hasattr(self, 'gate'):
-            return hash((self.name, self.gate))  # type: ignore
+            return hash((self.name, self.gate))
         if hasattr(self, 'gates'):
-            return hash((self.name, tuple(self.gates)))  # type: ignore
+            return hash((self.name, tuple(self.gates)))
         raise RuntimeError(
             f"Composed gate '{self.name}' has no attribute 'gate' or 'gates'.",
         )

diff --git a/bqskit/ir/opt/instantiaters/qfactor.py b/bqskit/ir/opt/instantiaters/qfactor.py
@@ -42,7 +42,7 @@ def instantiate(
         x0: npt.NDArray[np.float64],
     ) -> npt.NDArray[np.float64]:
         """Instantiate `circuit`, see Instantiater for more info."""
-        return super().instantiate(circuit, target, x0)
+        return QFactorInstantiatorNative.instantiate(self, circuit, target, x0)
 
     @staticmethod
     def is_capable(circuit: Circuit) -> bool:

diff --git a/tests/qis/unitary/test_meta.py b/tests/qis/unitary/test_meta.py
@@ -14,10 +14,10 @@
 class TestIsLocallyOptimizable:
     def test_normal_inheritance(self) -> None:
         class test_class(LocallyOptimizableUnitary):
-            def get_unitary(self, p: RealVector = []) -> UnitaryMatrix:
+            def get_unitary(self, p: RealVector = []) -> UnitaryMatrix:  # type: ignore  # noqa
                 pass
 
-            def optimize(
+            def optimize(  # type: ignore  # noqa
                     self, env_matrix: npt.NDArray[np.complex128],
             ) -> list[float]:
                 pass
@@ -27,10 +27,10 @@ def optimize(
 
     def test_conditional_inheritance_true(self) -> None:
         class test_class(LocallyOptimizableUnitary):
-            def get_unitary(self, p: RealVector = []) -> UnitaryMatrix:
+            def get_unitary(self, p: RealVector = []) -> UnitaryMatrix:  # type: ignore  # noqa
                 pass
 
-            def optimize(
+            def optimize(  # type: ignore  # noqa
                     self, env_matrix: npt.NDArray[np.complex128],
             ) -> list[float]:
                 pass
@@ -43,10 +43,10 @@ def is_locally_optimizable(self) -> bool:
 
     def test_conditional_inheritance_false(self) -> None:
         class test_class(LocallyOptimizableUnitary):
-            def get_unitary(self, p: RealVector = []) -> UnitaryMatrix:
+            def get_unitary(self, p: RealVector = []) -> UnitaryMatrix:  # type: ignore  # noqa
                 pass
 
-            def optimize(
+            def optimize(  # type: ignore  # noqa
                     self, env_matrix: npt.NDArray[np.complex128],
             ) -> list[float]:
                 pass
@@ -61,10 +61,10 @@ def is_locally_optimizable(self) -> bool:
 class TestIsDifferentiable:
     def test_normal_inheritance(self) -> None:
         class test_class(DifferentiableUnitary):
-            def get_unitary(self, p: RealVector = []) -> UnitaryMatrix:
+            def get_unitary(self, p: RealVector = []) -> UnitaryMatrix:  # type: ignore  # noqa
                 pass
 
-            def get_grad(
+            def get_grad(  # type: ignore  # noqa
                 self, params: RealVector = [],
             ) -> npt.NDArray[np.complex128]:
                 pass
@@ -74,10 +74,10 @@ def get_grad(
 
     def test_conditional_inheritance_true(self) -> None:
         class test_class(DifferentiableUnitary):
-            def get_unitary(self, p: RealVector = []) -> UnitaryMatrix:
+            def get_unitary(self, p: RealVector = []) -> UnitaryMatrix:  # type: ignore  # noqa
                 pass
 
-            def get_grad(
+            def get_grad(  # type: ignore  # noqa
                 self, params: RealVector = [],
             ) -> npt.NDArray[np.complex128]:
                 pass
@@ -90,10 +90,10 @@ def is_differentiable(self) -> bool:
 
     def test_conditional_inheritance_false(self) -> None:
         class test_class(DifferentiableUnitary):
-            def get_unitary(self, p: RealVector = []) -> UnitaryMatrix:
+            def get_unitary(self, p: RealVector = []) -> UnitaryMatrix:  # type: ignore  # noqa
                 pass
 
-            def get_grad(
+            def get_grad(  # type: ignore  # noqa
                 self, params: RealVector = [],
             ) -> npt.NDArray[np.complex128]:
                 pass