<feat>修改代码中的test

Author: shenzhi-git

Tutorials/source/GettingStarted.rst

@@ -11,16 +11,14 @@ It contains many practical quantum application algorithms. Installation and use
 Configuration
 >>>>>>>>>>>>>>>>>>>
 
-pyqpanda_alg uses C++ as the host language, and its environmental requirements for the system are as follows:
+pyqpanda_alg's environmental requirements for the system are as follows:
 
 Windows
 ---------------------
 .. list-table::
 
     * - software
       - version
-    * - `Microsoft Visual C++ Redistributable x64`_ 
-      - 2019
     * - Python
       - >= 3.11 && <= 3.13
 
@@ -34,16 +32,4 @@ Linux
     * - GCC
       - >= 7.5 
     * - Python
-      - >= 3.11 && <= 3.13
-
-
-Install
->>>>>>>>>>>>>>>>>
-
-If you have already installed the python environment and the pip tool, enter the following command in the terminal or console:
-
-    .. code-block:: python
-
-        pip install pyqpanda_alg
-
-.. note:: If you encounter permission problems under linux, you need to add ``sudo``
+      - >= 3.11 && <= 3.13

Tutorials/source/conf.py

@@ -19,7 +19,7 @@
 # -- Project information -----------------------------------------------------
 
 project = 'pyqpanda-algorithm'
-copyright = '2023, OriginQC'
+copyright = '2026, OriginQC'
 author = 'OriginQC'
 
 # The short X.Y version

Tutorials/source/index.rst

@@ -30,7 +30,6 @@ Overall, it provides a standardized set of tools for developers, allowing them t
 
     autoapi/pyqpanda_alg/QAOA/index
     autoapi/pyqpanda_alg/QARM/index
-    autoapi/pyqpanda_alg/QAlgBase/index
     autoapi/pyqpanda_alg/QKmeans/index
     autoapi/pyqpanda_alg/QPCA/index
     autoapi/pyqpanda_alg/QSVM/index

pyqpanda-algorithm/pyqpanda_alg/QAOA/qaoa.py

@@ -482,7 +482,6 @@ def run_qaoa_circuit(self, gammas, betas, shots=-1):
 
         .. code-block:: python
 
-            import pyqpanda as pq
             import sympy as sp
             from pyqpanda_alg.QAOA.qaoa import *
 

pyqpanda-algorithm/pyqpanda_alg/QSVM/quantum_kernel_svm.py

@@ -209,7 +209,6 @@ def evaluate(self, x_vec: np.ndarray, y_vec: np.ndarray = None) -> np.ndarray:
 
                 import os
                 import numpy as np
-                import pyqpanda as pq
                 from sklearn.svm import SVC
                 import matplotlib
                 try:

pyqpanda-algorithm/setup.py

@@ -6,7 +6,6 @@
 requirements = open('requirements.txt').readlines()
 requirements = [r.strip() for r in requirements]
 
-
 is_win = (platform.system() == 'Windows')
 if is_win:
     pd_files = ['*.pyd', '*.dll', '*.pyi']
@@ -20,10 +19,9 @@
     license = "Apache Licence",  
     author = "OriginQ",
     install_requires=requirements,
-    description= "A Quantum Algorithm Development and Runtime Environment Kit, based on pyqpanda.",    
+    description= "A Quantum Algorithm Development and Runtime Environment Kit, based on pyqpanda3.",    
     packages = find_packages(),  
 
-    py_modules = ['psi4_wrapper'],
     package_data={
         '':pd_files
     },
@@ -39,4 +37,4 @@
 	"Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: 3.13"
 	],
-)
+)

test/QAOA/Test_complete_xy_mixer.py

@@ -3,22 +3,18 @@
 # import pytest
 # import numpy as np
 #
-# # 添加项目路径到系统路径
 # sys.path.append((Path.cwd().parent.parent).__str__())
 #
 # from pyqpanda3.core import QProg, RX, CPUQVM
 # from pyqpanda_alg.QAOA import default_circuits
 #
 #
 # class TestCompleteXYMixer:
-#     """测试 complete_xy_mixer 接口"""
 #
 #     def setup_method(self):
-#         """测试前的初始化"""
 #         self.machine = CPUQVM()
 #
 #     def calculate_hamming_weight_distribution(self, prob_dict, max_weight):
-#         """计算汉明权重分布"""
 #         weight_probs = {}
 #         for weight in range(max_weight + 1):
 #             prob = sum(value for key, value in prob_dict.items()
@@ -27,48 +23,37 @@
 #         return weight_probs
 #
 #     def test_complete_xy_mixer_hamming_weight_preservation(self):
-#         """测试XY mixer应该保持汉明权重"""
 #         n_qubits = 4
 #         prog = QProg(n_qubits)
 #         qubits = prog.qubits()
 #
-#         # 创建初始状态 - 使用随机RX门创建复杂初始状态
 #         for q in qubits:
 #             prog << RX(q, np.random.random() * 2 * np.pi)
 #
-#         # 获取初始状态的概率分布
 #         self.machine.run(prog, shots=1)
 #         original_result = self.machine.result().get_prob_dict()
 #
-#         # 计算初始汉明权重分布
 #         original_weight_probs = self.calculate_hamming_weight_distribution(original_result, n_qubits)
 #
 #         # 应用 complete_xy_mixer
 #         beta = np.pi / 5
 #         circuit = default_circuits.complete_xy_mixer(qubits, beta)
 #         prog << circuit
 #
-#         # 获取应用mixer后的概率分布
 #         self.machine.run(prog, shots=1)
 #         final_result = self.machine.result().get_prob_dict()
 #
-#         # 计算最终汉明权重分布
 #         final_weight_probs = self.calculate_hamming_weight_distribution(final_result, n_qubits)
-#
-#         # 打印详细的权重分布变化
 #         print("\nHamming weight distribution comparison:")
 #         for weight in range(n_qubits + 1):
 #             original_prob = original_weight_probs.get(weight, 0)
 #             final_prob = final_weight_probs.get(weight, 0)
 #             print(f"Hamming weight {weight}: {original_prob:.4f} -> {final_prob:.4f}")
 #
-#             # XY mixer应该保持汉明权重（在统计误差范围内）
-#             # 由于有限shots和数值精度，允许一定的误差
-#             tolerance = 0.05  # 5% 容忍度
+#             tolerance = 0.05
 #             assert abs(original_prob - final_prob) < tolerance, \
 #                 f"Hamming weight {weight} not preserved within tolerance: {original_prob:.4f} -> {final_prob:.4f}"
 #
 #
 # if __name__ == "__main__":
-#     # 运行测试
 #     pytest.main([__file__, "-v", "-s"])

test/QAOA/Test_default_circuits_linear_w_state.py

@@ -63,5 +63,5 @@
 #
 #
 # if __name__ == "__main__":
-#     # 运行测试
+#     # run test
 #     pytest.main([__file__, "-v"])

test/QAOA/Test_default_circuits_prepare_dicke_state.py

@@ -3,7 +3,6 @@
 # import pytest
 # import numpy as np
 #
-# # 添加项目路径到系统路径
 # sys.path.append((Path.cwd().parent.parent).__str__())
 #
 # from pyqpanda_alg.QAOA import default_circuits
@@ -45,5 +44,5 @@
 #
 #
 # if __name__ == "__main__":
-#     # 运行测试
+#     # run test
 #     pytest.main([__file__, "-v"])

test/QAOA/Test_dstate_linear_w_state.py

@@ -55,5 +55,5 @@
 #
 #
 # if __name__ == "__main__":
-#     # 运行测试
+#     # run test
 #     pytest.main([__file__, "-v"])