Turn off type check for TParamValComplex used in numpy expressions

Assume it is not sympy.Expr and hope for the best.

cirq-core/cirq/ops/global_phase_op.py

@@ -12,7 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """A no-qubit global phase operation."""
-from typing import AbstractSet, Any, Dict, Sequence, Tuple, TYPE_CHECKING, Union
+
+from typing import AbstractSet, Any, cast, Dict, Sequence, Tuple, TYPE_CHECKING, Union
 
 import numpy as np
 import sympy
@@ -89,7 +90,7 @@ def _apply_unitary_(
     ) -> Union[np.ndarray, NotImplementedType]:
         if not self._has_unitary_():
             return NotImplemented
-        args.target_tensor *= self.coefficient
+        args.target_tensor *= cast(np.generic, self.coefficient)
         return args.target_tensor
 
     def _has_stabilizer_effect_(self) -> bool:

cirq-core/cirq/ops/pauli_string.py

@@ -501,7 +501,9 @@ def matrix(self, qubits: Optional[Iterable[TKey]] = None) -> np.ndarray:
         """
         qubits = self.qubits if qubits is None else qubits
         factors = [self.get(q, default=identity.I) for q in qubits]
-        return linalg.kron(self.coefficient, *[protocols.unitary(f) for f in factors])
+        return linalg.kron(
+            cast(complex, self.coefficient), *[protocols.unitary(f) for f in factors]
+        )
 
     def _has_unitary_(self) -> bool:
         if self._is_parameterized_():
@@ -517,7 +519,7 @@ def _apply_unitary_(self, args: 'protocols.ApplyUnitaryArgs'):
         if not self._has_unitary_():
             return None
         if self.coefficient != 1:
-            args.target_tensor *= self.coefficient
+            args.target_tensor *= cast(complex, self.coefficient)
         return protocols.apply_unitaries([self[q].on(q) for q in self.qubits], self.qubits, args)
 
     def expectation_from_state_vector(