Update ChatGPT5.cpp

/*******************************************************
 * o1.cpp
 *
 * A minimal example that demonstrates:
 *   1) A placeholder runDeepThoughtProtocol function
 *      for "advanced" logic (search, chain-of-thought, etc.).
 *   2) An O(1) entry function deepThoughtO1 that does a quick
 *      setup, then calls into the deeper protocol.
 *   3) A main function that loops over user queries.
 *******************************************************/

#include <iostream>
#include <string>

/**
 * Hypothetical advanced function. Replace with real logic
 * (web search, chain-of-thought, large language model, etc.).
 */
std::string runDeepThoughtProtocol(const std::string& query) {
    // Mock answer referencing The Hitchhiker's Guide to the Galaxy
    return "42 (computed via advanced deep thought protocol)";
}

/**
 * "O(1)" function that delegates to runDeepThoughtProtocol.
 * The O(1) part is a trivial static init check.
 */
std::string deepThoughtO1(const std::string& query) {
    // O(1) check or setup
    static bool isInitialized = false;
    if (!isInitialized) {
        // Imagine a near-instant init
        isInitialized = true;
    }

    // Hand off to a more complex routine (definitely not O(1)).
    return runDeepThoughtProtocol(query);
}

/**
 * Simple main: loops, asking for queries until "exit".
 */
int main() {
    while (true) {
        std::cout << "Ask something (or 'exit' to quit): ";
        std::string userInput;
        if (!std::getline(std::cin, userInput) || userInput == "exit") {
            break;
        }

        // Call our O(1) entry function + deep logic
        std::string answer = deepThoughtO1(userInput);
        std::cout << "DeepThoughtO1: " << answer << "\n\n";
    }

    return 0;
}

/**************************************************************
 * chatgpto1.cpp
 *
 * Combined, refactored, and enhanced code that demonstrates:
 *
 *   1) A "DeepThoughtO1" function that starts with an O(1) step
 *      and delegates to an advanced "deep thought" protocol.
 *   2) ChatGPT5PMLL class for persistent key-value memory.
 *   3) ChatGPT5 class for a basic conversation model (features,
 *      ephemeral memory, tasks).
 *   4) A main function that shows how they all fit together,
 *      including an optional user-input loop.
 *
 * NOTE: This is purely illustrative and won't do real searching
 * or reasoning unless you replace the placeholder logic with
 * actual code (e.g., web requests, indexing, chain-of-thought).
 **************************************************************/

#include <iostream>
#include <string>
#include <vector>
#include <map>
#include <unordered_map>
#include <fstream>
#include <mutex>
#include <algorithm>

/*******************************************************
 * SECTION 1: "Deep Thought" Logic (O(1) + Protocol)
 *******************************************************/

/**
 * Hypothetical function that performs advanced searching
 * or reasoning. You'd replace this with your actual logic
 * (web search, indexing, chain-of-thought, LLM calls, etc.).
 */
std::string runDeepThoughtProtocol(const std::string& query) {
    // For demonstration, we'll pretend it returns a
    // fancy "deep" answer referencing The Hitchhiker's Guide.
    return "42 (computed via advanced deep thought protocol)";
}

/**
 * If you wanted a single function entry point, here's one
 * approach. The first step is conceptually "O(1)" (the
 * 'DeepThoughtO1' label), but it then calls a more complex
 * function 'runDeepThoughtProtocol' behind the scenes.
 */
std::string deepThoughtO1(const std::string& query) {
    // O(1) part: maybe we just do a quick check or setup.
    static bool isInitialized = false;
    if (!isInitialized) {
        // Hypothetical fast initialization
        isInitialized = true;
        // This "setup" is presumably O(1) or near-instant.
    }

    // Now we hand off to a deeper search/logic routine.
    // This is definitely not O(1) in real life, but it
    // gives you advanced capabilities.
    return runDeepThoughtProtocol(query);
}

/*******************************************************
 * SECTION 2: ChatGPT5PMLL (Persistent Memory Class)
 *******************************************************/
class ChatGPT5PMLL {
private:
    std::unordered_map<std::string, std::string> memory;
    std::string memory_file;
    mutable std::mutex memory_mutex;

    // Load memory from a file
    void loadMemory() {
        std::lock_guard<std::mutex> lock(memory_mutex);
        std::ifstream file(memory_file);
        if (!file.is_open()) {
            std::cerr << "[PMLL] Warning: Could not open file for loading: "
                      << memory_file << "\n";
            return;
        }

        std::string line;
        while (std::getline(file, line)) {
            size_t delimiter_pos = line.find(':');
            if (delimiter_pos == std::string::npos) {
                // Skip lines that don't contain a colon
                continue;
            }
            std::string key   = line.substr(0, delimiter_pos);
            std::string value = line.substr(delimiter_pos + 1);
            memory[key] = value;
        }
    }

    // Save memory to a file
    void saveMemory() {
        std::lock_guard<std::mutex> lock(memory_mutex);
        std::ofstream file(memory_file);
        if (!file.is_open()) {
            std::cerr << "[PMLL] Error: Could not open file for saving: "
                      << memory_file << "\n";
            return;
        }

        for (const auto& [key, value] : memory) {
            file << key << ":" << value << "\n";
        }
    }

public:
    // Constructor: specify the file to store persistent memory
    explicit ChatGPT5PMLL(const std::string& file_name)
        : memory_file(file_name)
    {
        loadMemory();
    }

    // Destructor: save memory before object destruction
    ~ChatGPT5PMLL() {
        saveMemory();
    }

    // Add or update a key-value pair
    void addMemory(const std::string& key, const std::string& value) {
        {
            std::lock_guard<std::mutex> lock(memory_mutex);
            memory[key] = value;
        }
        saveMemory();
    }

    // Retrieve a value by key, or empty if not found
    std::string getMemory(const std::string& key) const {
        std::lock_guard<std::mutex> lock(memory_mutex);
        auto it = memory.find(key);
        return (it != memory.end()) ? it->second : "";
    }

    // Remove a single key-value pair
    bool removeMemory(const std::string& key) {
        std::lock_guard<std::mutex> lock(memory_mutex);
        auto it = memory.find(key);
        if (it != memory.end()) {
            memory.erase(it);
            saveMemory();
            return true;
        }
        return false;
    }

    // List all keys
    std::vector<std::string> listKeys() const {
        std::lock_guard<std::mutex> lock(memory_mutex);
        std::vector<std::string> keys;
        keys.reserve(memory.size());
        for (const auto& [key, _value] : memory) {
            keys.push_back(key);
        }
        return keys;
    }

    // Clear all memory
    void clearMemory() {
        {
            std::lock_guard<std::mutex> lock(memory_mutex);
            memory.clear();
        }
        saveMemory();
    }

    // Display all memory (debugging)
    void displayMemory() const {
        std::lock_guard<std::mutex> lock(memory_mutex);
        std::cout << "[PMLL] Current Memory State:\n";
        for (const auto& [key, value] : memory) {
            std::cout << "  " << key << " : " << value << "\n";
        }
    }
};

/*******************************************************
 * SECTION 3: ChatGPT5 (Basic Conversation Class)
 *******************************************************/
class ChatGPT5 {
private:
    // Basic response database
    std::vector<std::string> responses = {
        "Hello! How can I help you today?",
        "I'm here to assist with any questions you might have.",
        "That's an interesting question. Let me think about it...",
        "I'm not sure about that. Could you ask another way?"
    };

    // Example features
    struct Feature {
        std::string name;
        bool isEnabled;
    };

    std::vector<Feature> features = {
        {"Context Understanding", true},
        {"Zero-shot Learning", true},
        {"Code Generation", true},
        {"Image Understanding", true},
        {"Multilingual Support", true},
        {"Reasoning", true},
        {"Personalization", true},
        {"Task Execution", true},
        {"Web Interaction", true}
    };

    // Ephemeral memory
    std::map<std::string, std::string> memory;

    // Basic user profile for personalization
    std::map<std::string, std::vector<std::string>> userProfile;

public:
    ChatGPT5() {
        std::cout << "ChatGPT5 with advanced features initialized.\n";
    }

    // Simple init function
    void initialize() {
        std::cout << "ChatGPT5 fully initialized.\n";
    }

    // Process user input and return a response
    std::string processInput(const std::string& input) {
        // Basic response
        std::string response = selectBasicResponse(input);

        // Store user input for personalization
        personalizeResponse(input);

        // If the user wants to "book" or "order"
        if (input.find("book") != std::string::npos ||
            input.find("order") != std::string::npos)
        {
            response += executeTask(input);
        }

        // Potentially call "DeepThoughtO1" if you want advanced logic
        // For example, let's say if the user types "deep thought" ...
        if (input.find("deep thought") != std::string::npos) {
            response += "\n[DeepThoughtO1] " + deepThoughtO1(input);
        }

        // Add line break + feature summary
        response += "\n" + applyFeatures();

        return response;
    }

private:
    // Very simplified response logic
    std::string selectBasicResponse(const std::string& input) {
        if (input.find("hello") != std::string::npos ||
            input.find("hi") != std::string::npos)
        {
            return responses[0];
        }
        else if (input.find("?") != std::string::npos) {
            return responses[2];
        }
        return responses[3];
    }

    // Record conversation in user profile
    void personalizeResponse(const std::string& input) {
        std::string userKey = "current_user";  // Mock user
        userProfile[userKey].push_back(input);
    }

    // Pretend to handle a "task"
    std::string executeTask(const std::string& input) {
        if (input.find("book") != std::string::npos) {
            return "\n[Task] Booked a flight!";
        }
        else if (input.find("order") != std::string::npos) {
            return "\n[Task] Ordered some items!";
        }
        return "";
    }

    // Summarize which features are "applied"
    std::string applyFeatures() {
        std::string result = "[Features Applied: ";
        bool first = true;
        for (const auto& feat : features) {
            if (feat.isEnabled) {
                if (!first) result += ", ";
                result += feat.name;
                first = false;
            }
        }
        result += "]";
        return result;
    }
};

/*******************************************************
 * SECTION 4: MAIN
 *******************************************************/
int main() {
    // (A) Demonstrate optional "O(1) / Deep Thought" function alone
    // (In real usage, you'd rely on the conversation logic to call it.)
    std::string testQuery = "What is the answer to life?";
    std::string deepAnswer = deepThoughtO1(testQuery);
    std::cout << "[DeepThought Test] Query: " << testQuery
              << "\n                Answer: " << deepAnswer << "\n\n";

    // (B) Demonstrate Persistent Memory (ChatGPT5PMLL)
    ChatGPT5PMLL pmll("gpt5_memory.txt");
    pmll.addMemory("username", "Josef");
    pmll.addMemory("model", "GPT-5");

    // Retrieve and display memory
    std::cout << "[PMLL] username: " << pmll.getMemory("username") << "\n";
    std::cout << "[PMLL] model:    " << pmll.getMemory("model")    << "\n";
    pmll.displayMemory();

    std::cout << "\n";

    // (C) Demonstrate ChatGPT5 conversation
    ChatGPT5 chatGPT5;
    chatGPT5.initialize();

    while (true) {
        std::cout << "\nUser: ";
        std::string userInput;
        if (!std::getline(std::cin, userInput)) {
            // End if we can't read input
            break;
        }
        if (userInput == "exit") {
            // User requested exit
            break;
        }

        // Process input through ChatGPT5
        std::string response = chatGPT5.processInput(userInput);
        std::cout << "ChatGPT5: " << response << "\n";
    }

    // (D) Optionally clear all persistent memory before exiting
    std::cout << "\nClearing all persistent memory...\n";
    pmll.clearMemory();
    pmll.displayMemory();

    return 0;
}

Signed-off-by: J. K. Edwards <joed6834@colorado.edu>

CharGPT5/ChatGPT5.cpp

@@ -134,5 +134,308 @@ int main() {
         std::cout << "ChatGPT5: " << response << std::endl;
     }
 
-    return 0;
+    return  of
+ * an O(1) (constant-time) operation).
+ */
+int doSomethingO1();
+
+#endif // O1_H
+
+#include "o1.h"
+
+/*
+ * doSomethingO1:
+ * Return a constant integer.
+ */
+int doSomethingO1() {
+    return 42; // The answer to life, the universe, and everything
+
+#ifndef CHATGPT5PMLL_H
+#define CHATGPT5PMLL_H
+
+#include <string>
+#include <unordered_map>
+#include <fstream>
+#include <iostream>
+#include <mutex>
+#include <vector>
+
+/**
+ * Persistent Memory Logic Loop (PMLL) Class
+ * Manages persistent memory for ChatGPT-5.
+ */
+class ChatGPT5PMLL {
+private:
+    std::unordered_map<std::string, std::string> memory; // Key-value store
+    std::string memory_file;                            // File to store persistent memory
+    mutable std::mutex memory_mutex;                    // Thread safety
+
+    void loadMemory();    // Load memory from the file
+    void saveMemory();    // Save memory to the file
+
+public:
+    /**
+     * Constructor: Initialize with a file to store persistent memory.
+     */
+    ChatGPT5PMLL(const std::string& file_name);
+
+    /**
+     * Destructor: Save memory before object destruction.
+     */
+    ~ChatGPT5PMLL();
+
+    /**
+     * Add or update a key-value pair in memory.
+     */
+    void addMemory(const std::string& key, const std::string& value);
+
+    /**
+     * Retrieve a value from memory by key.
+     * @return The value or empty string if not found.
+     */
+    std::string getMemory(const std::string& key) const;
+
+    /**
+     * Remove a single key-value pair from memory.
+     * @return True if removal was successful, otherwise false.
+     */
+    bool removeMemory(const std::string& key);
+
+    /**
+     * List all keys currently stored in memory.
+     * @return A vector containing all the keys.
+     */
+    std::vector<std::string> listKeys() const;
+
+    /**
+     * Clear all key-value pairs in memory.
+     */
+    void clearMemory();
+
+#ifndef CHATGPT5PMLL_H
+#define CHATGPT5PMLL_H
+
+#include <string>
+#include <unordered_map>
+#include <fstream>
+#include <iostream>
+#include <mutex>
+#include <vector>
+
+/**
+ * Persistent Memory Logic Loop (PMLL) Class
+ * Manages persistent memory for ChatGPT-5.
+ */
+class ChatGPT5PMLL {
+private:
+    std::unordered_map<std::string, std::string> memory; // Key-value store
+    std::string memory_file;                            // File to store persistent memory
+    mutable std::mutex memory_mutex;                    // Thread safety
+
+    void loadMemory();    // Load memory from the file
+    void saveMemory();    // Save memory to the file
+
+public:
+    /**
+     * Constructor: Initialize with a file to store persistent memory.
+     */
+    ChatGPT5PMLL(const std::string& file_name);
+
+    /**
+     * Destructor: Save memory before object destruction.
+     */
+    ~ChatGPT5PMLL();
+
+    /**
+     * Add or update a key-value pair in memory.
+     */
+    void addMemory(const std::string& key, const std::string& value);
+
+    /**
+     * Retrieve a value from memory by key.
+     * @return The value or empty string if not found.
+     */
+    std::string getMemory(const std::string& key) const;
+
+    /**
+     * Remove a single key-value pair from memory.
+     * @return True if removal was successful, otherwise false.
+     */
+    bool removeMemory(const std::string& key);
+
+    /**
+     * List all keys currently stored in memory.
+     * @return A vector containing all the keys.
+     */
+    std::vector<std::string> listKeys() const;
+
+    /**
+     * Clear all key-value pairs in memory.
+     */
+    void clearMemory();
+
+    /**
+     * Display all memory in a readable format (for debugging).
+     */
+    void displayMemory() const;
+};
+
+#endif // CHATGPT5PMLL_H
+
+    /**
+     * Display all memory in a readable format (for debugging).
+     */
+    void displayMemory() const;
+};
+
+#endif // CHATGPT5PMLL_H
+
+#include <iostream>
+#include <vector>
+#include "o1.h"             // For doSomethingO1()
+#include "chatgpt5pmll.h"   // For ChatGPT5PMLL
+
+int main() {
+    // 1) Demonstrate the O(1) function.
+    int result = doSomethingO1();
+    std::cout << "[O1] doSomethingO1() returns: " << result << std::endl;
+
+    // 2) Demonstrate the Persistent Memory Logic Loop (PMLL).
+    ChatGPT5PMLL pmll("gpt5_memory.txt");
+
+    // Add or update memory entries.
+    pmll.addMemory("username", "Josef");
+    pmll.addMemory("model", "GPT-5");
+    pmll.addMemory("example_key", "example_value");
+
+    // Retrieve and display memory.
+    std::cout << "[PMLL] username: "      << pmll.getMemory("username") << "\n";
+    std::cout << "[PMLL] model: "         << pmll.getMemory("model")    << "\n";
+    std::cout << "[PMLL] example_key: "   << pmll.getMemory("example_key") << "\n\n";
+
+    // Display all memory using the new debugging method.
+    pmll.displayMemory();
+
+    // List all keys to demonstrate the listKeys() feature.
+    std::cout << "\n[PMLL] Listing all keys:\n";
+    std::vector<std::string> keys = pmll.listKeys();
+    for (const auto& key : keys) {
+        std::cout << "  " << key << "\n";
+    }
+    std::cout << "\n";
+
+    // Remove a specific key.
+    std::cout << "[PMLL] Removing 'example_key'...\n";
+    bool removed = pmll.removeMemory("example_key");
+    std::cout << (removed ? "Key removed successfully.\n" : "Key not found.\n");
+    pmll.displayMemory();
+
+    // Finally, clear all memory.
+    std::cout << "\n[PMLL] Clearing memory...\n";
+    pmll.clearMemory();
+    pmll.displayMemory();
+
+#include "chatgpt5pmll.h"
+
+// Constructor: Initialize with a file to store persistent memory
+ChatGPT5PMLL::ChatGPT5PMLL(const std::string& file_name) : memory_file(file_name) {
+    loadMemory();
+}
+
+// Destructor: Save memory before object destruction
+ChatGPT5PMLL::~ChatGPT5PMLL() {
+    saveMemory();
 }
+
+// Load memory from file
+void ChatGPT5PMLL::loadMemory() {
+    std::lock_guard<std::mutex> lock(memory_mutex);
+    std::ifstream file(memory_file);
+
+    if (!file.is_open()) {
+        std::cerr << "[PMLL] Warning: Could not open memory file for loading: "
+                  << memory_file << "\n";
+        return;
+    }
+
+    std::string line;
+    while (std::getline(file, line)) {
+        size_t delimiter_pos = line.find(':');
+        // Skip lines that don't contain a colon
+        if (delimiter_pos == std::string::npos) {
+            continue;
+        }
+
+        std::string key   = line.substr(0, delimiter_pos);
+        std::string value = line.substr(delimiter_pos + 1);
+        memory[key] = value;
+    }
+
+    file.close();
+}
+
+// Save memory to file
+void ChatGPT5PMLL::saveMemory() {
+    std::lock_guard<std::mutex> lock(memory_mutex);
+    std::ofstream file(memory_file);
+
+    if (!file.is_open()) {
+        std::cerr << "[PMLL] Error: Could not open memory file for saving: "
+                  << memory_file << "\n";
+        return;
+    }
+
+    for (const auto& [key, value] : memory) {
+        file << key << ":" << value << "\n";
+    }
+
+    file.close();
+}
+
+// Add or update memory entry
+void ChatGPT5PMLL::addMemory(const std::string& key, const std::string& value) {
+    {
+        std::lock_guard<std::mutex> lock(memory_mutex);
+        memory[key] = value;
+    }
+    saveMemory(); // Persist the change immediately
+}
+
+// Retrieve memory by key
+std::string ChatGPT5PMLL::getMemory(const std::string& key) const {
+    std::lock_guard<std::mutex> lock(memory_mutex);
+    auto it = memory.find(key);
+    return (it != memory.end()) ? it->second : "";
+}
+
+// Remove a single key-value pair by key
+bool ChatGPT5PMLL::removeMemory(const std::string& key) {
+    std::lock_guard<std::mutex> lock(memory_mutex);
+    auto it = memory.find(key);
+    if (it != memory.end()) {
+        memory.erase(it);
+        saveMemory();
+        return true;
+    }
+    return false;
+}
+
+// List all keys in memory
+std::vector<std::string> ChatGPT5PMLL::listKeys() const {
+    std::lock_guard<std::mutex> lock(memory_mutex);
+    std::vector<std::string> keys;
+    keys.reserve(memory.size());
+    for (const auto& [key, _value] : memory) {
+        keys.push_back(key);
+    }
+    return keys;
+}
+
+// Clear all memory
+void ChatGPT5PMLL::clearMemory() {
+    {
+        std::lock_guard<std::mutex> lock(memory_mutex);
+        memory.clear();
+    }
+    saveMemory();
+e}