Sample PR - C++

GlobalContextClass.cpp

@@ -0,0 +1,14 @@
+#include "ParentClass.h"
+
+using namespace GlobalContextNameSpace;
+
+ParentClass::ParentClass() 
+{
+    // Constructor implementation (if needed)
+}
+
+ParentClass::~ParentClass() 
+{
+    // Destructor implementation (if needed)
+}
+

GlobalContextClass.h

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+#ifndef GLOBAL_CONTEXT_CLASS_MODEL_H
+#define GLOBAL_CONTEXT_CLASS_MODEL_H
+
+#include <string>
+
+namespace GlobalContextNameSpace
+{
+  class ParentClass
+  {
+    public:
+      ParentClass();
+      ~ParentClass();
+
+      virtual int getValue();
+
+    protected:
+        int m_A    = 0;
+        double m_B = 0.0;
+
+    private:
+        std::string name = "";
+    };
+
+   class  
+} // GlobalContextNameSpace
+
+inline int ParentClass::getValue()
+{
+  return m_A;
+}
+
+
+
+#endif

global_cplus_context.py

@@ -0,0 +1,42 @@
+"""
+This example script demonstrates how to use the OpenAI chat API.
+
+GPT-4 model:
+https://platform.openai.com/docs/models/gpt-4
+
+Chat completion API:
+https://platform.openai.com/docs/guides/chat
+
+"""
+import openai
+
+# CSEBU token
+openai.api_key = "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"
+
+
+prompt = """
+
+Create a c++ class using this democode
+
+"""
+
+with open('GlobalContextClass.h', 'r') as file:
+    data = file.read().replace('\n', '')
+prompt += data
+
+with open('GlobalContextClass.cpp', 'r') as file:
+    data = file.read().replace('\n', '')
+prompt += data
+
+response = openai.ChatCompletion.create(
+  model="gpt-4",
+  messages=[
+        {"role": "system", "content": "You are a very kind programmer."},
+        {"role": "user", "content": prompt},
+        # {"role": "assistant", "content": init_response},
+        # {"role": "user", "content": elab}
+    ]
+)
+
+text = response['choices'][0].message.content
+print(text)