Todo: 集成多平台 解决因SaiNiu线程抢占资源问题 本地提交测试环境打包 和 正式打包脚本与正式环境打包bat 提交Python32环境包 改进多日志文件生成情况修改打包日志细节

Utils/PythonNew32/Lib/site-packages/win32com/test/testDCOM.py

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+# testDCOM
+usage = """\
+testDCOM.py - Simple DCOM test
+Usage: testDCOM.py serverName
+
+Attempts to start the Python.Interpreter object on the named machine,
+and checks that the object is indeed running remotely.
+
+Requires the named server be configured to run DCOM (using dcomcnfg.exe),
+and the Python.Interpreter object installed and registered on that machine.
+
+The Python.Interpreter object must be installed on the local machine,
+but no special DCOM configuration should be necessary.
+"""
+import sys
+
+# NOTE: If you configured the object locally using dcomcnfg, you could
+# simple use Dispatch rather than DispatchEx.
+import pythoncom
+import win32api
+import win32com.client
+
+
+def test(serverName):
+    if serverName.lower() == win32api.GetComputerName().lower():
+        print("You must specify a remote server name, not the local machine!")
+        return
+
+    # Hack to overcome a DCOM limitation.  As the Python.Interpreter object
+    # is probably installed locally as an InProc object, DCOM seems to ignore
+    # all settings, and use the local object.
+    clsctx = pythoncom.CLSCTX_SERVER & ~pythoncom.CLSCTX_INPROC_SERVER
+    ob = win32com.client.DispatchEx("Python.Interpreter", serverName, clsctx=clsctx)
+    ob.Exec("import win32api")
+    actualName = ob.Eval("win32api.GetComputerName()")
+    if serverName.lower() != actualName.lower():
+        print(
+            "Error: The object created on server '{}' reported its name as '{}'".format(
+                serverName, actualName
+            )
+        )
+    else:
+        print("Object created and tested OK on server '%s'" % serverName)
+
+
+if __name__ == "__main__":
+    if len(sys.argv) == 2:
+        test(sys.argv[1])
+    else:
+        print(usage)