Support shots as np.int64

qiskit_ibm_provider/utils/json.py

@@ -203,6 +203,8 @@ def default(self, obj: Any) -> Any:  # pylint: disable=arguments-differ
                 return {"__type__": "ndarray", "__value__": obj.tolist()}
             value = _serialize_and_encode(obj, np.save, allow_pickle=False)
             return {"__type__": "ndarray", "__value__": value}
+        if isinstance(obj, np.int64):
+            return obj.item()
         if isinstance(obj, np.number):
             # Maybe we should encode the numpy data type here for better accuracy.
             return {"__type__": type(obj.item()).__name__, "__value__": obj.item()}

releasenotes/notes/numpy-int-shots-encoding-63dc2498cf28760d.yaml

@@ -0,0 +1,6 @@
+---
+fixes:
+  - |
+    Fixed a bug where ``shots`` passed in as a numpy type were not being
+    serialized correctly.
+

test/integration/test_serialization.py

@@ -14,6 +14,7 @@
 
 from typing import Set, Any, Dict, Optional
 from unittest import SkipTest, skip
+import numpy as np
 
 import dateutil.parser
 from qiskit import transpile, schedule, QuantumCircuit
@@ -197,6 +198,13 @@ def test_convert_complex(self):
         self.assertEqual(val[0], 0.2)
         self.assertEqual(val[1], 0.1)
 
+    def test_np_number(self):
+        """Test using np.number"""
+        shots = 100
+        result = self.sim_backend.run(self.bell, shots=np.int64(shots)).result()
+        self.assertEqual(result.results[0].shots, shots)
+        print(result.results[0])
+
 
 def _find_potential_encoded(data: Any, c_key: str, tally: set) -> None:
     """Find data that may be in JSON serialized format.