【代码贡献】Fix QUBO_QAOA.run crashing with default arguments

pyqpanda-algorithm/pyqpanda_alg/QUBO/QUBO.py

@@ -479,13 +479,13 @@ class QUBO_QAOA(QuadraticBinary):
     def __init__(self, problem):
         super(QUBO_QAOA, self).__init__(problem)
 
-    def run(self, layer=None, optimizer='SLSQP', optimizer_option=None):
+    def run(self, layer=1, optimizer='SLSQP', optimizer_option=None):
         """
         Run the solver to find the minimum.
 
         Parameters
-            layer : ``int``\n
-                Layers number of QAOA circuit.
+            layer : ``int``, ``optional``\n
+                Layers number of QAOA circuit. Default is 1.
                 If optimize type is interp, then it represents the final layer of the optimization progress.
             optimizer : ``str``, ``optional``\n
                 Type of solver. Should be one of

test/QAlgBase/Test_QUBO_QUBO_QAOA_run.py

@@ -1,3 +1,4 @@
+import numpy as np
 import pytest
 import sympy as sp
 from pyqpanda_alg.QUBO import QUBO
@@ -20,6 +21,26 @@ def test_qubo_qaoa_basic_functionality(self, setup_qubo_instance):
 
         assert result['010'] >= 0.1
 
+    def test_qubo_qaoa_default_arguments(self, setup_qubo_instance):
+        test_instance = setup_qubo_instance
+        np.random.seed(42)
+        result = test_instance.run()
+
+        assert isinstance(result, dict)
+        assert len(result) == 8
+        assert all(0 <= p <= 1 for p in result.values())
+        assert abs(sum(result.values()) - 1) < 1e-6
+        assert result['010'] >= 0.1
+
+    def test_qubo_qaoa_default_layer_is_one(self, setup_qubo_instance):
+        test_instance = setup_qubo_instance
+        np.random.seed(42)
+        default_result = test_instance.run()
+        np.random.seed(42)
+        layer_one_result = test_instance.run(layer=1)
+
+        assert default_result == layer_one_result
+
 
 if __name__ == "__main__":
     pytest.main([__file__, "-v", "-s"])