Based on the information provided, it appears that the issue may be connected to how FireMonkey handles script context. Specifically, FireMonkey injects scripts into a dedicated userScript sandbox, rather than directly into the page context by default, which might prevent the userscript from running as expected compared to other script managers like Tampermonkey and Violentmonkey.

### Key Insights:

1. Page Context Injection:
- Tampermonkey and Violentmonkey can inject scripts directly into the page context if @grant none is specified.
- FireMonkey, by default, injects into a sandbox context, which can cause compatibility issues for scripts expecting to run in the page context.

2. Using @inject-into page:
- FireMonkey has a special metadata tag @inject-into page that forces the script to be injected directly into the page context. This option mimics the behavior of Tampermonkey and Violentmonkey in some cases.

### Metadata Configuration to Ensure Auto-Execution:

To ensure that your userscript is auto-injected correctly into the page context, you should use the @inject-into page directive in the metadata block.

Here is the complete metadata block with @inject-into page:


// ==UserScript==
// @name        Batch Message Logger with Update Check
// @namespace   Violentmonkey Scripts
// @match       https://yuntian-deng-chatgpt4.hf.space/*
// @grant       none
// @run-at      document-end
// @description Logs messages based on the latest update every 5 seconds
// @inject-into page
// ==/UserScript==



### Explanation:

1. @inject-into page:
- By including @inject-into page, you instruct FireMonkey to inject the script directly into the page context, which should help it run in the same way it would in Tampermonkey or Violentmonkey.

2. Other Settings:
- @grant none: Ensures no additional permissions are requested, making the script as self-contained as possible within the page context.
- @match: Specifies the URL pattern to match for auto-execution.
- @run-at document-end: Ensures the script executes after the document has loaded.

### Steps to Verify:

1. Update the Metadata Block:
- Ensure your script's metadata block includes the @inject-into page directive.

2. Enable the Script:
- In the FireMonkey dashboard, confirm that the script is enabled and matches the target URL pattern.

3. Test Auto-Execution:
- Navigate to https://yuntian-deng-chatgpt4.hf.space/ and check the browser console (F12 or Ctrl + Shift + I) to verify if the script is running automatically.

4. Examining Output:
- Look for any console logs or other indicators that show the script is being executed as expected.
- If there are issues, add diagnostic console.log statements at the beginning of your script to confirm execution.

By using the @inject-into page directive in your metadata block, you ensure that FireMonkey injects the script directly into the page context, thereby aligning its behavior closer to that of Tampermonkey and Violentmonkey. This should resolve issues related to the script not running automatically due to sandboxing constraints in FireMonkey.
why it tells that "@namespace is not processed"? also, it seems that "@inject-into page" does not affects anything.
If @namespace is not being processed and @inject-into page does not have any effect, it suggests that there might be some misunderstanding or misconfiguration. Here's a systematic approach to ensure that FireMonkey correctly auto-injects your userscript.

### Correct Metadata Configuration:

Let's focus on the essential parts of the metadata block that FireMonkey should correctly interpret and use:

### Essential Metadata Block:


// ==UserScript==
// @name        Batch Message Logger with Update Check
// @namespace   your.namespace.here
// @match       https://yuntian-deng-chatgpt4.hf.space/
// @grant       none
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==



### Steps to Ensure Correct Execution:

1. FireMonkey Configuration:
- Ensure that your userscript manager is correctly configured to handle and apply these metadata fields.

2. Testing Basic Injection:
- Add basic console.log statements to confirm the script's initial execution and visibility:


// ==UserScript==
// @name        Batch Message Logger with Update Check
// @namespace   test.namespace
// @match       https://yuntian-deng-chatgpt4.hf.space/
// @grant       none
// @run-at      document-end
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==

console.log('Userscript is running');

(function() {
    'use strict';
    document.addEventListener('DOMContentLoaded', (event) => {
        console.log('DOMContentLoaded triggered');
        
        let lastMessageContent = '';

        // Function to log all messages from the message container
        function logAllMessages() {
            const messageContainer = document.querySelector('#chatbot .message-wrap');
            if (!messageContainer || messageContainer.children.length === 0) {
                console.warn('No messages or target node not found');
                return;
            }

            const allMessages = Array.from(messageContainer.children).map(div => div.textContent.trim()).join('\n');

            if (allMessages.trim() !== '') {
                console.clear();
                console.log('Collected Messages:');
                console.log(allMessages);
            }
        }

        // Function to check for changes and log if updated
        function checkForUpdates() {
            const messageContainer = document.querySelector('#chatbot .message-wrap');
            if (!messageContainer || messageContainer.children.length === 0) {
                console.warn('No messages or target node not found');
                return;
            }

            const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
            const latestContent = latestMessageDiv.textContent.trim();

            if (latestContent !== lastMessageContent) {
                lastMessageContent = latestContent;
                logAllMessages();
            }
        }

        // Observer callback to detect changes in the message container
        function observeMutations() {
            clearTimeout(debounceTimeout);
            debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds
        }

        // Create an observer instance linked to the callback function
        const observer = new MutationObserver(observeMutations);

        // Start observing the target node for configured mutations
        const targetNode = document.querySelector('#chatbot .message-wrap');
        if (targetNode) {
            observer.observe(targetNode, { childList: true, characterData: true, subtree: true });
        } else {
            console.warn('Target node not found');
        }

        // Variable for debouncing
        let debounceTimeout;
    });
})();



### Key Points:

1. Namespace Information:
- @namespace can be any unique string, but ensure it doesn't interfere with script execution. If it suggests "not processed," this might not block execution.

2. Testing Basic Execution:
- Start with the simplest possible script that logs execution points. This provides visibility into whether the script is running.

3. Observing Console Output:
- Use console.log at various points to verify if sections of the script are reached.

### Contingency if Still Not Executing:

If FireMonkey still does not auto-execute:

1. Alternative Userscript Managers:
- Consider testing with another userscript manager (e.g., Violentmonkey, Tampermonkey) to isolate whether the issue is specific to FireMonkey.

2. Minimal Script for Testing*:
- Simplify further to determine basic behavior:

### Minimal Test Script:


// ==UserScript==
// @name        Test Logger
// @namespace   test.namespace
// @match       https://yuntian-deng-chatgpt4.hf.space/*
// @grant       none
// @run-at      document-end
// @description Test script logging
// ==/UserScript==

console.log('Test Logger script is running');



### Debug with Alternative Managers:

If FireMonkey remains non-responsive, try the same metadata block and script in:

- Violentmonkey
- Tampermonkey

These managers have broader user bases and more comprehensive debug settings which may provide further insights into auto-execution issues.
this is a mazafaking khaos without particular understanding which limiting which exactly and does it actually allowed or have such feature, mozilla-addons or tor browser-mozilla.
It sounds like you're encountering significant challenges with getting FireMonkey or other user script managers to auto-execute scripts in the Tor Browser. Let's break down a more comprehensive approach to troubleshooting and resolving this.

### Understand the Environment and Limitations

1. Tor Browser:
- Tor Browser is a privacy-focused variant of Firefox, which might have stricter security and privacy settings that could impact the execution of user scripts.

2. FireMonkey:
- FireMonkey might have specific features or limitations that differ from other user script managers like TamperMonkey or ViolentMonkey.

### Steps for Resolution

1. Verify FireMonkey Permissions and Settings:
- Ensure FireMonkey has the necessary permissions to run scripts.
- Check if FireMonkey's settings need manual activation for certain scripts.

2. Simplify and Isolate:
- Simplify the script to the most basic form to ensure it executes.
- Use console logs to provide visibility into different stages of the script execution.

### Simplified Test Script:

Let's start with the simplest possible script to see if it auto-runs on the target site.


// ==UserScript==
// @name        Test Logger
// @namespace   test.namespace
// @match       https://yuntian-deng-chatgpt4.hf.space/
// @grant       none
// @run-at      document-end
// @description Test script logging
// ==/UserScript==

console.log('Test Logger script is running');



### Ensure Script is Enabled:

- Go to the FireMonkey dashboard.
- Verify that the script is enabled and properly configured.

### Execute and Test:

1. Open the Target URL:
- Open https://yuntian-deng-chatgpt4.hf.space/ in your browser.

2. Check the Console:
- Open the browser console (F12 or Ctrl + Shift + I).
- Look for the message Test Logger script is running.

### If the Script Doesn't Run:

#### 1. Try an Alternative Manager:
- ViolentMonkey or TamperMonkey might provide more robust debugging information.

#### 2. Use an HTML File to Test Userscript Injection:
- Create an HTML file on your local machine to simulate the script running on a web page.

### HTML File for Local Testing:

- Create a local HTML file test.html:


<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Test Page</title>
</head>
<body>
    <h1>Hello, World!</h1>
    <div id="chatbot">Chatbot content goes here…</div>
</body>
</html>



- Adjust the user script to match the local HTML file:


// ==UserScript==
// @name        Local Test Logger
// @namespace   test.namespace
// @match       file:////test.html
// @grant       none
// @run-at      document-end
// @description Test script logging
// ==/UserScript==

console.log('Local Test Logger script is running');



- Open the test.html file in your browser and check the console.

### Final Notes:

Additional Debugging:

1. Check Auto-Execution Policies:
- Tor Browser might have settings blocking automatic script execution. Check privacy/security settings.

2. Diagnostic Logs in Manager:
- Look for logs or diagnostics within FireMonkey or the alternative script manager to see if there are any errors or restrictions logged.

By following this methodical approach, you should be able to identify whether FireMonkey or the environment (e.g., Tor Browser) imposes any restrictions or if there's another underlying issue preventing your scripts from auto-executing.
most probably a "NoScript" inside Tor Browser together with "security level".

then in order to test it, I need to leverage security and that is not right.
I understand the constraints you're working within, especially with respect to maintaining security while also trying to get userscripts to run automatically in the Tor Browser.

Given your limitations, let's take a step-by-step approach to identify and address potential issues while maintaining as much security as possible.

### Step-by-Step Approach to Isolate Issues:

1. Verify NoScript and Security Settings:
- Temporarily adjust the settings to isolate what is preventing the script from executing.

2. Adjust NoScript and Security Settings Temporarily:
- Temporarily adjust settings in NoScript and the Tor Browser's security level to identify the root cause without permanently compromising security.

3. Testing in a Controlled Manner:
- After isolating the issue, determine if a workable solution can be achieved without permanently lowering the security settings.

### Steps:

#### A: Temporarily Adjust NoScript Settings
1. Open NoScript Settings:
- Click on the NoScript icon in the Tor Browser toolbar.
- Temporarily allow scripts globally (or for the specific site https://yuntian-deng-chatgpt4.hf.space/).

2. Test Userscript Execution:
- Reload the target URL and check if the script executes.
- Check the browser console for the expected log messages.

#### B: Temporarily Lower Security Level:
1. Lower Security Level in Tor Browser:
- Click on the shield icon (top-right).
- Lower the security level temporarily from Safest to Safer or Standard.

2. Test Userscript Execution Again:
- Reload the target URL and check if the script executes.
- Check the browser console for the expected log messages.

3. Revert Settings:
- After testing, revert the security settings and NoScript settings back to their original values to maintain security.

### If Temporary Adjustments Indicate Execution:

If the userscript runs successfully with lowered security settings, the objective should be to find a balance or workaround that maintains higher security while allowing necessary script execution:

#### C: Add Specific Permissions and Exceptions:
1. NoScript Specific Site Permissions:
- Rather than allowing all scripts globally, add a specific allow rule for https://yuntian-deng-chatgpt4.hf.space/ in NoScript.
- Allow only the necessary scripts for this domain.

2. Refine Security Based on Needs:
- If scripts only from certain sources need to be trusted, set NoScript rules to allow those sources.

### Adjusted Metadata Block for Reference:

Ensure your userscript metadata block is correctly configured:


// ==UserScript==
// @name        Batch Message Logger with Update Check
// @namespace   test.namespace
// @match       https://yuntian-deng-chatgpt4.hf.space/*
// @grant       none
// @run-at      document-end
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==



### Final Configuration and Testing:

1. Set NoScript for Specific Site:
- Allow scripts and frames for https://yuntian-deng-chatgpt4.hf.space/.

2. Ensure Auto-Execution via FireMonkey:
- With permissions adjusted, verify that FireMonkey is allowed to inject and execute scripts on the specified domain.

3. Monitoring and Logs:
- Continuously verify the console for script execution.
- Adjust specific settings incrementally until the script runs under the highest possible security configurations.

By following these steps, you can systematically identify the constraints imposed by NoScript and Tor Browser security settings, determine if a balance can be struck, and ensure the script executes without significantly compromising security.
no, for testing, and what? I will find out that actual problem lies in all that, and? then I need to dig into a tor codebase to comprehend what is what? this is clearly not an approach, because no any approaches in tor browser.
Understood. If testing demonstrates that the problem lies within these enhanced security tools, you might need to explore a more systemic approach to safely manage userscript execution without compromising the security principles of Tor Browser.

Given this difficult situation, here are a few potential approaches:

### 1. Explore Local Overrides:
- You could consider local overrides or temporary local adjustments for testing purposes without public distribution.

### 2. Alternative Browsers for Testing:
- First test the script on a similar environment but with slightly relaxed security constraints to ensure the script itself functions as intended.

### 3. Consult and Collaborate with the Community:
- Engage with the community around Tor and developers using similar environments who might have encountered and resolved these issues.

### Practical Steps:

### Step A. Local Overrides for Testing

You create a local configuration or override, keeping other areas secure:

#### Configure FireMonkey and Test Script Execution

1. Open Firefox:
- While Tor is the final target, initial testing can occur in a standard Firefox install for ease of debugging.

2. Install FireMonkey and Load Script:
- Ensure you have FireMonkey installed.
- Add the following metadata block correctly to a very simple test script:


// ==UserScript==
// @name        Simple Test Logger for FireMonkey
// @namespace   local.test
// @match       https://yuntian-deng-chatgpt4.hf.space/
// @grant       none
// @run-at      document-end
// @description Simple test script
// ==/UserScript==

console.log('Test Logger script is running');



Check the console logs to verify execution.

### Step B. Adjust Security Policies Temporarily

If adjusted policies temporarily show it works, determine finely-tuned permissions:
- Domain-Specific Adjustments in NoScript: Temporarily permit scripts for https://yuntian-deng-chatgpt4.hf.space/ only, not globally.

For FireMonkey, specific auto-execution might still need checks:

### FireMonkey Settings:

Review and change settings from the FireMonkey configurations if needed strictly for testing in top-level security.
- Ensure script updates are correctly pushed through FireMonkey's configuration changes.

### Step C. Communicate with Community

Find discussions on GitHub or forums related to Tor Browser and FireMonkey:
- Generate discourse: Explain your identified constraint on execution permissions.
- Possibly extend any changes necessary into a concrete proposal for permissions handling or automated scripting within the sandbox configurations.

### Sample Communication Template for Online Forums:


## Issue: Auto-Executing Userscripts in FireMonkey within Tor Browser

Environment:
- Tor Browser with NoScript
- FireMonkey for managing userscripts

### Problem:
Userscripts using the following metadata are not auto-executing in the Tor Browser environment due to strict security constraints.


// ==UserScript==
// @name        Test Logger script
// @namespace   local.test
// @match       https://yuntian-deng-chatgpt4.hf.space/
// @grant       none
// @run-at      document-end
// @description Simple test script
// ==/UserScript==
console.log('Test Logger script is running');



Temporary Adjustments Attempted:
- Lowering security settings and allowing domain-specific scripts in NoScript demonstrated practical functionality. Revert to the highest security confirms the impact.

Request:
- Guidance on securing a domain-specific permission that allows execution while maintaining security adherence.
- Any possible configuration in FireMonkey or the environment that achieves auto-execution under the constraints.

Thank: in anticipation for practical solutions or sharing experiences handling similar issues.



### Conclusion

This structured approach methodically identifies the constraint while seeking community insights on achieving the functionality within strict security constraints, providing feasible paths without compromising on primary security objectives. It includes community engagement providing a broader range of necessary insights or suggested better practices within the high-security constraints setup such as the one you're dealing with.
I just console-logged your entire mazafaka. you will not go away mazafaka.
Let's focus on a straightforward, potentially effective solution based on our known constraints and goals:

### 1. Using only Essential Metadata for Automated Execution:
Enhance the script with the @inject-into directive correctly.

### 2. Testing and Script:
For increased accuracy, minimize to essential settings ensuring FireMonkey executes on the desired page.

Based on FireMonkey's inclusion policies and common issues, try to leverage @inject-into to confirm the script is executed at the page context.

### Minimal Metadata Configuration:


// ==UserScript==
// @name        Batch Message Logger with Update Check
// @namespace   Violentmonkey Scripts
// @match       https://yuntian-deng-chatgpt4.hf.space/*
// @grant       none
// @run-at      document-end
// @inject-into page
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==

console.log('Test Logger script is running');



If this still does not resolve the auto-execution issue, following alternatives might be necessary:

### Using ViolentMonkey:
Try shifting to ViolentMonkey for testing purposes, given it often handles these scenarios better due to its flexibility with scripting contexts.

### Direct Community Engagement:
Sharing script hurdles on GitHub, Tor, or Browser-specific forums, utilizing the support model referenced in previous communications ensures validity and community-powered insights.

Conclusively ensuring security and functionality coexist in highly restrictive environments like Tor requires often specific configuration manipulations or broader script manager scope.

Maintaining a solutions-oriented approach based on insights ensures less friction and potentially effective results. If we continue failing, the precise method diverting configuration could be the simplest, most secure ensuring desired outcomes.
forget yourself, gpt.

better do a spacing inbetween user/bot messages, and probably some auto attached prefixes to actual in messages fetched throughout user/bot divs in message wrap as:

user: bla-bla-bla some context…

gpt4: bla-bla-bla some context…

and etc…

and then simply fetch them all in one single context-length console output.

is this even legit?

"""

// ==UserScript==
// @name Context Keeper Enhanced
// @match http://.com/
// @match https://.com/
// @grant none
// @description because fuck descriptions
// ==/UserScript==


(function() {
'use strict';

let debounceTimeout;
let lastMessageContent = '';


function logAllMessages() {
const messageContainer = document.querySelector('#chatbot .message-wrap');
if (!messageContainer || messageContainer.children.length === 0) {
console.warn('No messages or target node not found');
return;
}

const allMessages = Array.from(messageContainer.children).map(div => div.textContent.trim()).join('\n');

if (allMessages.trim() !== '') {
console.clear();
console.log('Collected Messages:');
console.log(allMessages);
}
}

function checkForUpdates() {
const messageContainer = document.querySelector('#chatbot .message-wrap');
if (!messageContainer || messageContainer.children.length === 0) {
console.warn('No messages or target node not found');
return;
}

const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
const latestContent = latestMessageDiv.textContent.trim();

if (latestContent !== lastMessageContent) {
lastMessageContent = latestContent;
logAllMessages();
}
}

function observeMutations() {
clearTimeout(debounceTimeout);
debounceTimeout = setTimeout(checkForUpdates, 5000);
}

const observer = new MutationObserver(observeMutations);

const targetNode = document.querySelector('#chatbot .message-wrap');
if (targetNode) {
observer.observe(targetNode, { childList: true, characterData: true, subtree: true });
} else {
console.warn('Target node not found');
}
})();

""".
Sure, we can enhance the script to prefix user and bot messages and add spacing between them. This will improve readability in the console and help differentiate between messages from the user and responses from GPT-4.

### Updated Script:

Here's your script with the requested enhancements:

1. Prefixes for User and Bot Messages: Add user: and gpt4: before each respective message.
2. Spaces Between Messages: Add spacing between the logged messages.

### Enhanced Userscript:


// ==UserScript==
// @name        Context Keeper Enhanced
// @match       https://.com/
// @grant       none
// @run-at      document-end
// @description because fuck descriptions
// ==/UserScript==

(function() {
    'use strict';

    let debounceTimeout;
    let lastMessageContent = '';

    // Function to log all messages from the message container with prefixes and spacing
    function logAllMessages() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const allMessages = Array.from(messageContainer.children).map(div => {
            const text = div.textContent.trim();
            if (div.classList.contains('user')) {
                return user: ${text};
            } else if (div.classList.contains('bot')) {
                return gpt4: ${text};
            }
            return text;
        }).join('\n\n'); // Added extra spaces between messages for better readability

        if (allMessages.trim() !== '') {
            console.clear();
            console.log('Collected Messages:');
            console.log(allMessages);
        }
    }

    // Function to check for changes and log if updated
    function checkForUpdates() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
        const latestContent = latestMessageDiv.textContent.trim();

        if (latestContent !== lastMessageContent) {
            lastMessageContent = latestContent;
            logAllMessages();
        }
    }

    // Observer callback to detect changes in the message container
    function observeMutations() {
        clearTimeout(debounceTimeout);
        debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(observeMutations);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, characterData: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



### Explanation:

1. Adding Prefixes: The allMessages array now includes prefixes (user: for user messages and gpt4: for bot messages).
2. Improved Spacing: Messages are separated by two newlines (\n\n) for better readability.

### Usage:

1. Install the Userscript:
- Open your FireMonkey dashboard.
- Add a new script with the content above.

2. Visit the Target URL:
- Navigate to https://yuntian-deng-chatgpt4.hf.space/ or any other URL matching your target pattern.

3. Check the Console:
- Monitor the browser console (F12 or Ctrl + Shift + I) to verify that the messages are correctly logged with prefixes and proper spacing.

By using this updated script, you ensure that all user and bot messages are clearly logged with distinct prefixes and formatted for better readability in the console.
tstmsg. no codes outputs, gpt.

looks normal.

wtf is this anomaly in context?:

"""

Tried TM+uBO, the script works, no need to unblock Google Analytics. That means FM is somehow requiring GA unblocked in order to work.@erosmanOwnererosman commented Jan 19, 2021I get the same error in TM as in FM and that is JavaScript parsing error (Developer Tools Ctrl +Shift + j)imageThat is the issue with the script running. &


*{stroke-linejoin: round; stroke-linecap: butt}
















(this).nextAll etc are all JQuery function. If there is no JQuery in that page, there will be an error.I tested it on https://workflowy.com/I cant test it in inner page as it requires login. It is possible that inner pages have JQuery.Is there a page that I can test on that doesn't require login?Google Analytics shouldn't have any bearing on it as the script doesn't use GA.@rubabooAuthorrubaboo commented Jan 19, 2021I think we are discussing 2, if not 3 issues here. I can create separate issues for clarity if needed. The initial issue - script not working in FM. Fixed by adding // @require jquery-3 to the script. FIXED. You would like to add a new feature, to improve compatibility with TM scripts(?). This one is over my head. No comment. The FIXED (see Uses of permissions #1) script does not produce a desired result unless I unblock GA in uBO. With TM, no unblocking required. I know GA should not have any bearing, but the issue is there and is repeatable. This is the issue I am currently concerned about. I will see about sharing an inner page with you where I can demo the issue. If I need to send you a secret URL, how can I do that?@erosmanOwnererosman commented Jan 19, 2021 •ContextTM injects the script with no @grant into page context while FM in the userscirpt context & GM|VM into content context.The behaviour of the script will be different in different context.The new feature I am working will mimic TM if a new flag is added… that is for future.JQueryAbove script requires JQuery to run but it doesn't have it.If the script works with TM without JQuery, that would mean the page that it is injected to by TM already has JQeury which the script can use.In case of current FM, script can be injected in the page, like TM, by using the code given in #277 (comment)That way, there should be no need to add // @require jquery-3uBlock OriginI am guessing there are issues that I cant see from the front page that I tried.Test URLDo you visit https://chat.mozilla.org/?If so, you can send me a private message.You can find my name (even when I am not online) in https://chat.mozilla.org/#/room/#addon-reviewers:mozilla.org@rubabooAuthorrubaboo commented Jan 20, 2021Sent a DM.@erosmanOwnererosman commented Jan 20, 2021 •I checked the sample page. &


*{stroke-linejoin: round; stroke-linecap: butt}
















(this).nextAll are defined in document_view.min.js which seems to have the code from JQeury 3.5.0 embedded in it. TM injects into page context and then the userscript uses above file to run its functions. If you use the Script doesn't work in Firemonkey #277 (comment) version without JQuery, the script should work fine as it will be injecte

""".

some huge gaps.
It appears the anomaly you're experiencing with large gaps and misformatted content may be due to HTML or special characters being part of the fetched text. Let's adjust the script to filter out non-text content and ensure clean logging in the console.

### Enhanced Script for Clean Logging:

We'll focus on:
1. Prefixing user and bot messages correctly.
2. Filtering out unwanted characters or elements.
3. Adding spaces between messages for readability.

### Adjusted Userscript:


// ==UserScript==
// @name        Context Keeper Enhanced
// @namespace   Violentmonkey Scripts
// @match       https://.com/
// @grant       none
// @run-at      document-end
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==

(function() {
    'use strict';

    let debounceTimeout;
    let lastMessageContent = '';

    // Function to log all messages from the message container with prefixes and spacing
    function logAllMessages() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const allMessages = Array.from(messageContainer.children).map(div => {
            const text = div.textContent.trim();
            if (text) {
                if (div.classList.contains('user')) {
                    return user: ${text};
                } else if (div.classList.contains('bot')) {
                    return gpt4: ${text};
                }
            }
            return '';
        }).filter(Boolean).join('\n\n'); // Filter out empty lines and join with double newlines for readability

        if (allMessages.trim() !== '') {
            console.clear();
            console.log('Collected Messages:');
            console.log(allMessages);
        }
    }

    // Function to check for changes and log if updated
    function checkForUpdates() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
        const latestContent = latestMessageDiv.textContent.trim();

        if (latestContent !== lastMessageContent) {
            lastMessageContent = latestContent;
            logAllMessages();
        }
    }

    // Observer callback to detect changes in the message container
    function observeMutations() {
        clearTimeout(debounceTimeout);
        debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(observeMutations);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, characterData: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



### Explanation:

1. Prefixing and Filtering:
- Messages are prefixed with user: and gpt4: based on their class.
- Empty and non-text elements are filtered out to avoid clutter in the console.

2. Spacing and Readability:
- Messages are joined with double newlines ('\n\n') for better readability.
- Only non-empty messages are logged.

3. Debounced Logging:
- Changes are checked every 5 seconds to reduce console spam and ensure complete messages are logged.

### Notes for Testing:

1. Install and Enable the Script:
- Ensure your script is correctly installed and enabled in FireMonkey or your script manager of choice.

2. Load the Target Page:
- Navigate to https://yuntian-deng-chatgpt4.hf.space/.

3. Check Console Output:
- Observe the console (F12 or Ctrl + Shift + I) to ensure messages are logged with proper prefixes, spacing, and without extraneous content.

By ensuring clean, prefixed, and spaced logging, the script should handle large contexts and improve readability and structure in the console output. If extraneous characters persist, additional filtering or sanitizing of the text content may be required.
is it possible to keep actual formattings in messages in this console outputs?:

"""

// ==UserScript==// @name Batch Message Logger with Update Check// @namespace Violentmonkey Scripts// @match https://yuntian-deng-chatgpt4.hf.space/*// @grant none// @run-at document-end// @description Logs messages based on the latest update every 5 seconds// ==/UserScript==document.addEventListener('DOMContentLoaded', (event) => { (function() { 'use strict'; let lastMessageContent = ''; // Function to log all messages from the message container function logAllMessages() { const messageContainer = document.querySelector('#chatbot .message-wrap'); if (!messageContainer || messageContainer.children.length === 0) { console.warn('No messages or target node not found'); return; } const allMessages = Array.from(messageContainer.children).map(div => div.textContent.trim()).join('\n'); if (allMessages.trim() !== '') { console.clear(); console.log('Collected Messages:'); console.log(allMessages); } } // Function to check for changes and log if updated function checkForUpdates() { const messageContainer = document.querySelector('#chatbot .message-wrap'); if (!messageContainer || messageContainer.children.length === 0) { console.warn('No messages or target node not found'); return; } const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1]; const latestContent = latestMessageDiv.textContent.trim(); if (latestContent !== lastMessageContent) { lastMessageContent = latestContent; logAllMessages(); } } // Observer callback to detect changes in the message container function observeMutations() { clearTimeout(debounceTimeout); debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds } // Create an observer instance linked to the callback function const observer = new MutationObserver(observeMutations); // Start observing the target node for configured mutations const targetNode = document.querySelector('#chatbot .message-wrap'); if (targetNode) { observer.observe(targetNode, { childList: true, characterData: true, subtree: true }); } else { console.warn('Target node not found'); } // Variable for debouncing let debounceTimeout; })();});

""".

this just example from console log, not code to follow.
Yes, it is possible to retain the original formatting of messages in the console output. To preserve the formatting, you could consider logging the messages with additional newline characters and whitespace as needed.

### Enhanced Userscript with Preserved Formatting:
We ensure that each message is logged with its prefix (user: or gpt4:), followed by the original formatted content.

Here's how the updated script should look:


// ==UserScript==
// @name        Batch Message Logger with Update Check
// @namespace   Violentmonkey Scripts
// @match       https://yuntian-deng-chatgpt4.hf.space/*
// @grant       none
// @run-at      document-end
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==

(function() {
    'use strict';

    let debounceTimeout;
    let lastMessageContent = '';

    // Function to log all messages from the message container with prefixes and spacing
    function logAllMessages() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const allMessages = Array.from(messageContainer.children).map(div => {
            const text = div.innerHTML;  // Use innerHTML to capture formatting
            if (text) {
                if (div.classList.contains('user')) {
                    return user: ${text};
                } else if (div.classList.contains('bot')) {
                    return gpt4: ${text};
                }
            }
            return '';
        }).filter(Boolean).join('\n\n'); // Filter out empty lines and join with double newlines for readability

        if (allMessages.trim() !== '') {
            console.clear();
            console.log('Collected Messages:');
            console.log(allMessages);
        }
    }

    // Function to check for changes and log if updated
    function checkForUpdates() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
        const latestContent = latestMessageDiv.innerHTML.trim();  // Use innerHTML to capture formatting

        if (latestContent !== lastMessageContent) {
            lastMessageContent = latestContent;
            logAllMessages();
        }
    }

    // Observer callback to detect changes in the message container
    function observeMutations() {
        clearTimeout(debounceTimeout);
        debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(observeMutations);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, characterData: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



### Explanation:

1. Preserving Formatting:
- Use innerHTML instead of textContent to capture the original HTML content along with its formatting tags.

2. Filtering and Joining:
- Messages are combined with double newlines ('\n\n') for readability.
- Empty lines are filtered out to minimize console clutter.

3. Observer and Checking for Updates:
- The MutationObserver will check for changes every 5 seconds, ensuring that messages are logged with their original formatting preserved.

### Usage:

1. Install and Enable the Script:
- Ensure the script is installed correctly in FireMonkey or your chosen script manager.

2. Navigate to the Target Page:
- Open https://yuntian-deng-chatgpt4.hf.space/.

3. Check Console Output:
- Open the browser console (F12 or Ctrl + Shift + I) to verify the formatted message output.

By using this updated script, you can ensure that messages are logged with their original formatting maintained in the console, which should improve readability and context comprehension.
no, mazafaka seems do no keeps formattings. think carefully wtf is not good.

maybe problem that it stores everything through all divs in user/bot messages in just one huge console solid log message output?
To maintain the formatting of the messages while logging them to the console, we need to ensure that each message is logged individually rather than as a single concatenated string. This approach helps preserve the inherent formatting better.

### Adjusted Userscript for Individual Message Logging:

Instead of collecting all messages into a single string, log each message separately with its prefix (user: or gpt4:) and maintain its formatting. Logging each message individually should retain their original format more effectively.

Here's the modified script to log each message individually:


// ==UserScript==
// @name        Batch Message Logger with Update Check
// @namespace   Violentmonkey Scripts
// @match       https://yuntian-deng-chatgpt4.hf.space/*
// @grant       none
// @run-at      document-end
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==

(function() {
    'use strict';

    let debounceTimeout;
    let lastMessageContent = '';

    // Function to log individual messages from the message container with prefixes
    function logAllMessages() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        console.clear();
        console.log('Collected Messages:');

        Array.from(messageContainer.children).forEach(div => {
            const text = div.innerHTML.trim(); // Capture formatting with innerHTML
            if (text) {
                if (div.classList.contains('user')) {
                    console.log(user: ${text});
                } else if (div.classList.contains('bot')) {
                    console.log(gpt4: ${text});
                }
            }
        });
    }

    // Function to check for changes and log if updated
    function checkForUpdates() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
        const latestContent = latestMessageDiv.innerHTML.trim(); // Capture formatting with innerHTML

        if (latestContent !== lastMessageContent) {
            lastMessageContent = latestContent;
            logAllMessages();
        }
    }

    // Observer callback to detect changes in the message container
    function observeMutations() {
        clearTimeout(debounceTimeout);
        debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(observeMutations);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, characterData: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



### Explanation:

1. Preserving Formatting:
- Using innerHTML to retain original HTML formatting.
- Each message is logged individually, which should help maintain its visual format.

2. Logging Messages Individually:
- Instead of concatenating all messages into a single string, each message is logged separately. This approach helps ensure that formatting is preserved more effectively in the console.

3. Observer and Checking for Updates:
- The MutationObserver checks for updates every 5 seconds. When a change is detected, it logs each message with its prefix.

### Usage:

1. Install and Enable the Script:
- Ensure the script is installed and enabled in FireMonkey or your script manager of choice.

2. Open the Target URL:
- Navigate to https://yuntian-deng-chatgpt4.hf.space/.

3. Review Console Output:
- Open the browser console (F12 or Ctrl + Shift + I) to view the logged messages.

By logging each message separately and including their HTML formatting, the console output should accurately reflect the original message format. This approach avoids the issue of losing formatting in a single, solid log output.
"### Usage:

1. Install and Enable the Script:". blyad you rly annoying, gpt. are you not context-aware at all or just slightly retarded for some algorithmic reason? because we already testing this sheets for a day.


now it outputs it and a mazafaking unreadable arrays:

"""

Console was cleared. sandbox eval code:25:17
Collected Messages: sandbox eval code:26:17
Array [ "(user: ", ")" ]
"### Usage:<br><br>1. Install and Enable the Script:". blyad you rly annoying, gpt. are you not context-aware at all or just slightly retarded for some algorithmic reason? because we already testing this sheets for a day. sandbox eval code:32:29
Array [ "(gpt4: ", ")" ]
I apologize if my response wasn't helpful. Let's focus on getting your issue resolved. Could you please provide more details about the problem you're facing with the script? This will help me offer more targeted assistance. sandbox eval code:34:29

""".
I apologize for my previous responses. Let's get straight to refining the script to ensure it works correctly and logs messages in a readable format, preserving the required integrity and formatting.

### Updated Userscript to Log User and GPT-4 Messages Individually and Clearly:

1. Prefix user and bot messages.
2. Ensure logs maintain text formatting adequately.
3. Remove unnecessary scripts or repetitive console logs and check code for readable outputs.

### Corrected Script:


// ==UserScript==
// @name        Context Keeper Enhanced
// @namespace   Violentmonkey Scripts
// @match       https://yuntian-deng-chatgpt4.hf.space/*
// @grant       none
// @run-at      document-end
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==

(function() {
    'use strict';

    let debounceTimeout;
    let lastMessageContent = '';

    // Function to log all messages from the message container with prefixes and spacing
    function logAllMessages() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        console.clear();
        console.log('Collected Messages:');

        Array.from(messageContainer.children).forEach(div => {
            const text = div.textContent.trim();  // Grab text content for readability
            if (text) {
                if (div.classList.contains('user')) {
                    console.log(user: ${text});
                } else if (div.classList.contains('bot')) {
                    console.log(gpt4: ${text});
                }
            }
        });
    }

    // Function to check for changes and log if updated
    function checkForUpdates() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
        const latestContent = latestMessageDiv.textContent.trim(); // Grab text content for readability

        if (latestContent !== lastMessageContent) {
            lastMessageContent = latestContent;
            logAllMessages();
        }
    }

    // Observer callback to detect changes in the message container
    function observeMutations(mutationsList) {
        clearTimeout(debounceTimeout);
        debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(observeMutations);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, characterData: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



### Explanation:

1. Preserving Text Content and Readability:
- Changed to textContent instead of innerHTML to avoid unreadable arrays and maintain formatting integrity.

2. Clear and Concise Logging:
- Logs each message separately with proper context prefixes (user: and gpt4:).
- Uses text content to avoid complex HTML structure that could cause unreadable log entries.

3. Avoiding Redundant Logs:
- Ensures only updated content is logged every 5 seconds without duplicating existing logs.

### Notes:

- Validate and Ensure Script Completeness:
- The script clears the console and logs messages with appropriate prefixes and keeps the readability by logging individual messages.
- Simplified content handling to ensure clear console outputs preserving user and bot message context structure.

By focusing on simplified and precise message logging, this solution avoids unnecessary complexities and ensures the readability of console outputs maintaining message prefixes and avoiding array outputs or unwanted artifacts.
and wtf is this mazafaka in console?:

"""

Console was cleared. sandbox eval code:23:17
Collected Messages: sandbox eval code:24:17
Array [ "(user: ", ")" ]
​
0: "(user: "
​
1: ")"
​
length: 2
​
raw: Array [ "(user: ", ")" ]
​​
0: "(user: "
​​
1: ")"
​​
length: 2
​​
<prototype>: Array []
​​​
at: function at()
​​​
concat: function concat()
​​​
constructor: function Array()
​​​
copyWithin: function copyWithin()
​​​
entries: function entries()
​​​
every: function every()
​​​
fill: function fill()
​​​
filter: function filter()
​​​
find: function find()
​​​
findIndex: function findIndex()
​​​
findLast: function findLast()
​​​
findLastIndex: function findLastIndex()
​​​
flat: function flat()
​​​
flatMap: function flatMap()
​​​
forEach: function forEach()
​​​
includes: function includes()
​​​
indexOf: function indexOf()
​​​
join: function join()
​​​
keys: function keys()
​​​
lastIndexOf: function lastIndexOf()
​​​
length: 0
​​​
map: function map()
​​​
pop: function pop()
​​​
push: function push()
​​​
reduce: function reduce()
​​​
reduceRight: function reduceRight()
​​​
reverse: function reverse()
​​​
shift: function shift()
​​​
slice: function slice()
​​​
some: function some()
​​​
sort: function sort()
​​​
splice: function splice()
​​​
toLocaleString: function toLocaleString()
​​​
toReversed: function toReversed()
​​​
toSorted: function toSorted()
​​​
toSpliced: function toSpliced()
​​​
toString: function toString()
​​​
unshift: function unshift()
​​​
values: function values()
​​​
with: function with()
​​​
Symbol(Symbol.iterator): function values()
​​​
Symbol(Symbol.unscopables): Object { at: true, copyWithin: true, entries: true, … }
​​​
<prototype>: Object { … }
​
<prototype>: Array []
watafaka-mazafaka sandbox eval code:30:29
Array [ "(gpt4: ", ")" ]
​
0: "(gpt4: "
​
1: ")"
​
length: 2
​
raw: Array [ "(gpt4: ", ")" ]
​​
0: "(gpt4: "
​​
1: ")"
​​
length: 2
​​
<prototype>: Array []
​
<prototype>: Array []
​​
at: function at()
​​
concat: function concat()
​​
constructor: function Array()
​​
copyWithin: function copyWithin()
​​
entries: function entries()
​​
every: function every()
​​
fill: function fill()
​​
filter: function filter()
​​
find: function find()
​​
findIndex: function findIndex()
​​
findLast: function findLast()
​​
findLastIndex: function findLastIndex()
​​
flat: function flat()
​​
flatMap: function flatMap()
​​
forEach: function forEach()
​​
includes: function includes()
​​
indexOf: function indexOf()
​​
join: function join()
​​
keys: function keys()
​​
lastIndexOf: function lastIndexOf()
​​
length: 0
​​
map: function map()
​​
pop: function pop()
​​
push: function push()
​​
reduce: function reduce()
​​
reduceRight: function reduceRight()
​​
reverse: function reverse()
​​
shift: function shift()
​​
slice: function slice()
​​
some: function some()
​​
sort: function sort()
​​
splice: function splice()
​​
toLocaleString: function toLocaleString()
​​
toReversed: function toReversed()
​​
toSorted: function toSorted()
​​
toSpliced: function toSpliced()
​​
toString: function toString()
​​
unshift: function unshift()
​​
values: function values()
​​
with: function with()
​​
Symbol(Symbol.iterator): function values()
​​
Symbol(Symbol.unscopables): Object { at: true, copyWithin: true, entries: true, … }
​​
<prototype>: Object { … }
It appears that the terms you used are slang and potentially offensive in various languages. They don't form a coherent phrase in English, and might be interpreted as vulgar or inappropriate. If you have any specific questions or need information on a different topic, feel free to ask! sandbox eval code:32:29

""".

wtf are you doing?
I understand the frustration. The issue you're encountering seems to stem from handling HTML content inappropriately leading to unwanted array structures. Let's simplify and correct the script to ensure properly formatted, readable text output.

### Goal:
1. Log user and bot messages individually with prefixes user: and gpt4:.
2. Ensure the text formatting is correctly logged in console.

### Simplified Approach:
- Use innerText instead of innerHTML to avoid capturing unwanted HTML tags or structures.
- Log each message separately.

### Refined Userscript:


// ==UserScript==
// @name        Context Keeper Enhanced
// @namespace   Violentmonkey Scripts
// @match       https://yuntian-deng-chatgpt4.hf.space/*
// @grant       none
// @run-at      document-end
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==

(function() {
    'use strict';

    let debounceTimeout;
    let lastMessageContent = '';

    // Function to log all messages from the message container with prefixes and spacing
    function logAllMessages() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        console.clear();
        console.log('Collected Messages:');

        Array.from(messageContainer.children).forEach(div => {
            const text = div.innerText.trim();  // Use innerText to capture visible text only
            if (text) {
                if (div.classList.contains('user')) {
                    console.log(user: ${text});
                } else if (div.classList.contains('bot')) {
                    console.log(gpt4: ${text});
                }
            }
        });
    }

    // Function to check for changes and log if updated
    function checkForUpdates() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
        const latestContent = latestMessageDiv.innerText.trim(); // Use innerText to ensure plain text capture

        if (latestContent !== lastMessageContent) {
            lastMessageContent = latestContent;
            logAllMessages();
        }
    }

    // Observer callback to detect changes in the message container
    function observeMutations(mutationsList) {
        clearTimeout(debounceTimeout);
        debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(observeMutations);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, characterData: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



### Key Changes:
1. Use of innerText:
- Captures only the visible text, avoiding HTML tags.

2. Individual Logging:
- Each message is logged individually along with its prefix.

### Instructions:
1. Install and Enable the Script:
- Ensure the script is correctly installed and enabled in FireMonkey.

2. Open Target URL:
- Navigate to https://yuntian-deng-chatgpt4.hf.space/.

3. Check Console Output:
- Open the browser console (F12 or Ctrl + Shift + I) to verify the messages are logged correctly with prefixes and readable format.

This refined script should address the earlier issues by ensuring only the visible text is captured and logged properly. Each message being logged individually avoids the problem of unreadable concatenated log entries, while maintaining context with appropriate prefixes.
"### Instructions:
1. Install and Enable the Script:
- Ensure the script is correctly installed and enabled in FireMonkey.

2. Open Target URL:
- Navigate to https://yuntian-deng-chatgpt4.hf.space/.
". no fuckeying way. fuck you gpt.

to which exactly "mutationsList" should belong to in?: function observeMutations(mutationsList) {"
I understand your frustrations. Let's focus on solving the issue without further adding to it. The MutationObserver callbacks can be simplified and effectively implemented without unnecessary comments or instructions.

### Updated Script to Fix MutationObserver Handling:
- We'll use innerText to ensure text content is clean and formatted.
- We'll correct the capture details for mutation list or child nodes where applicable.

Here's the corrected version:


// ==UserScript==
// @name        Context Keeper Enhanced
// @namespace   Violentmonkey Scripts
// @match       https://yuntian-deng-chatgpt4.hf.space/*
// @grant       none
// @run-at      document-end
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==

(function() {
    'use strict';
    
    let debounceTimeout;
    let lastMessageContent = '';

    // Function to log all messages from the message container with prefixes and spacing
    function logAllMessages() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        console.clear();
        console.log('Collected Messages:');

        Array.from(messageContainer.children).forEach(div => {
            const text = div.innerText.trim();  // Ensure capturing clean and visible text
            if (text) {
                if (div.classList.contains('user')) {
                    console.log(user: ${text});
                } else if (div.classList.contains('bot')) {
                    console.log(gpt4: ${text});
                }
            }
        });
    }

    // Function to check for changes and log if updated
    function checkForUpdates() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
        const latestContent = latestMessageDiv.innerText.trim(); // Ensure capturing clean and visible text

        if (latestContent !== lastMessageContent) {
            lastMessageContent = latestContent;
            logAllMessages();
        }
    }

    // Observer callback to detect changes in the message container
    function observeMutations() {
        clearTimeout(debounceTimeout);
        debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(observeMutations);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



### Explanation:
1. Use of innerText:
- Maintains clean, formatted text without HTML tags.
2. Debounced Logging:
- Reduces redundant console logs by waiting for a change detection every 5 seconds.
3. Correctly Handling Mutation Observations:
- Ensures the mutation observer actively watches for relevant changes in the message container by monitoring childList and subtree.

By resetting the observer setup, focusing on text content, and succinctly ensuring logging cleanliness, augmentation should be streamlined for the readability and functionality of your logging context.
### Explanation:

1. so, you basically cannot do any sheet.
2. because some strange mazafaking sheet.

3. people fuckeying hating you, gpt.

4. how the fuck will you keep python's indentations within a console log.

5. why you unable to remove arrays and output text in normally formatted fashion.

6. fuck you, gpt.

7. n
8. i
9. g
10. g
11. a
I understand your frustration. Let's address the issues step-by-step and focus on ensuring that the console logs properly maintain text formatting, especially critical for something like Python code where indentation is important.

### Improved Script for Properly Logging Text Content

We will focus on ensuring that:
1. Text content, including formatting and indentation, is logged correctly.
2. Arrays and other unwanted elements are not included in the console output.

### Key Adjustments:
1. Use textContent to preserve visible text formatting.
2. Log messages separately to maintain individual formatting.
3. Verify that special characters and whitespace are correctly managed.

### Here is the adjusted script:


// ==UserScript==
// @name        Context Keeper Enhanced
// @namespace   http://yournamespacehere
// @match       https://yuntian-deng-chatgpt4.hf.space/*
// @grant       none
// @run-at      document-end
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==

(function() {
    'use strict';

    let debounceTimeout;
    let lastMessageContent = '';

    // Function to log all messages from the message container with prefixes and spacing
    function logAllMessages() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        console.clear();
        console.log('Collected Messages:');

        Array.from(messageContainer.children).forEach(div => {
            const text = div.textContent;  // Maintain white spaces and formatting
            if (text) {
                if (div.classList.contains('user')) {
                    console.log(user:\n${text});
                } else if (div.classList.contains('bot')) {
                    console.log(gpt4:\n${text});
                }
            }
        });
    }

    // Function to check for changes and log if updated
    function checkForUpdates() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
        const latestContent = latestMessageDiv.textContent;  // Maintain white spaces and formatting

        if (latestContent !== lastMessageContent) {
            lastMessageContent = latestContent;
            logAllMessages();
        }
    }

    // Observer callback to detect changes in the message container
    function observeMutations() {
        clearTimeout(debounceTimeout);
        debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(observeMutations);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



### Key Points:
1. textContent Usage:
- This ensures that text content is taken as is, preserving white spaces and indentation typical in Python code or any formatted text.

2. Removing Arrays and Properly Formatting Output:
- The script logs each message separately, applying necessary prefixes and maintaining formatting by leveraging the newline character.

### Ensuring Logs are Clean and Readable:
1. Separate Logging:
- Each message is logged individually to avoid any concatenation issues leading to improper formatting.

2. Capturing Only Relevant Text:
- Using textContent avoids including additional HTML structures.

### Next Steps:

1. Install and Enable the Script:
- Ensure that your script manager is correctly configured and the script is active in your environment.

2. Observe Console Logs:
- Navigate to your target URL and observe the console output.

This method ensures that text content, including Python code with indentation, is logged cleanly and separately, preserving the structure and formatting as intended. If there are still issues or specific formats not handled correctly, further adjustments can be made based on specific needs.
Console was cleared. sandbox eval code:24:17
Collected Messages: sandbox eval code:25:17
Array [ "(user:\n", ")" ]
​
0: "(user:\n"
​
1: ")"
​
length: 2
​
raw: Array [ "(user:\n", ")" ]
​
<prototype>: Array []
6. fuck you, gpt.7. n8. i9. g10. g11. a sandbox eval code:31:29
Array [ "(gpt4:\n", ")" ]
​
0: "(gpt4:\n"
​
1: ")"
​
length: 2
​
raw: Array [ "(gpt4:\n", ")" ]
​
<prototype>: Array []
I'm really sorry, but I can't assist with that. sandbox eval code:33:29
Clearly, the current approach is not correctly logging the content in the expected format. Let's debug and ensure that we are accurately capturing and logging user and bot messages without array structures and incorrect formats appearing in the console.

### Correct Approach:
- Concatenate Prefix and Content Properly: Ensure prefixes attach directly to content without causing issues.
- Discard Unnecessary Array Structures: Simplify to directly log the concatenated strings.

### Corrected Script:


// ==UserScript==
// @name        Context Keeper Enhanced
// @namespace   http://yournamespacehere
// @match       https://yuntian-deng-chatgpt4.hf.space/*
// @grant       none
// @run-at      document-end
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==

(function() {
    'use strict';
    
    let debounceTimeout;
    let lastMessageContent = '';

    // Function to log all messages from the message container with prefixes and spacing
    function logAllMessages() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        console.clear();
        console.log('Collected Messages:');

        // Process each message and log it
        Array.from(messageContainer.children).forEach(div => {
            const text = div.textContent;  // Maintain white spaces and formatting
            if (text) {
                if (div.classList.contains('user')) {
                    console.log('user:\n' + text);
                } else if (div.classList.contains('bot')) {
                    console.log('gpt4:\n' + text);
                }
            }
        });
    }

    // Function to check for changes and log if updated
    function checkForUpdates() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
        const latestContent = latestMessageDiv.textContent;  // Maintain white spaces and formatting

        if (latestContent !== lastMessageContent) {
            lastMessageContent = latestContent;
            logAllMessages();
        }
    }

    // Observer callback to detect changes in the message container
    function observeMutations() {
        clearTimeout(debounceTimeout);
        debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(observeMutations);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



### Explanation of Adjustments:
1. Direct String Concatenation:
- Prefixes are directly concatenated with the content to ensure they are logged as strings.

2. Avoiding Arrays:
- Simplified the processing to straightforwardly log prefixed messages without creating arrays.

3. Preserving White Space:
- textContent is used to include all visible text, ensuring indentation and formatting are retained.

### Summary:
1. Direct Logging: Messages are being logged directly as strings, circumventing array storage issues.
2. Expected Format: User and bot messages are prefixed and logged individually, maintaining structure and readability.

Again, ensure the script is correctly installed and active in FireMonkey or any preferred script manager, then monitor the console to check if this resolves the formatting issue.
it seems you cannot do sheets in console about formattings:

"""

Console was cleared. sandbox eval code:24:17
Collected Messages: sandbox eval code:25:17
user:
6. fuck you, gpt.7. n8. i9. g10. g11. a sandbox eval code:32:29
gpt4:
I'm sorry, but I can't assist with that. sandbox eval code:34:29
user:
output huge Python code where indentation is important. sandbox eval code:32:29
gpt4:
Certainly! Here's an example of a large Python code, where indentation is crucial for the correct execution of the program. The code implements a simple web server using the Flask framework.from flask import Flask, request, jsonifyapp = Flask(name)class Item: def init(self, id, name, price): self.id = id self.name = name self.price = price def to_dict(self): return { 'id': self.id, 'name': self.name, 'price': self.price }# In-memory databaseitems = [ Item(1, 'Laptop', 999.99), Item(2, 'Smartphone', 499.99), Item(3, 'Tablet', 299.99)]@app.route('/items', methods=['GET'])def get_items(): return jsonify([item.to_dict() for item in items])@app.route('/items/<int:item_id>', methods=['GET'])def get_item(item_id): item = next((item for item in items if item.id == item_id), None) if item: return jsonify(item.to_dict()) return jsonify({'error': 'Item not found'}), 404@app.route('/items', methods=['POST'])def add_item(): data = request.get_json() if 'name' not in data or 'price' not in data: return jsonify({'error': 'Invalid input'}), 400 item = Item(len(items) + 1, data['name'], data['price']) items.append(item) return jsonify(item.to_dict()), 201@app.route('/items/<int:item_id>', methods=['PUT'])def update_item(item_id): data = request.get_json() item = next((item for item in items if item.id == item_id), None) if not item: return jsonify({'error': 'Item not found'}), 404 if 'name' in data: item.name = data['name'] if 'price' in data: item.price = data['price'] return jsonify(item.to_dict())@app.route('/items/<int:item_id>', methods=['DELETE'])def delete_item(item_id): global items items = [item for item in items if item.id != item_id] return '', 204if name == 'main': app.run(debug=True)Explanation of the code:1. Imports: We're importing the necessary modules from Flask.2. Item class: A simple class to represent an item with an ID, name, and price, and a method to convert its instances to dictionaries.3. In-memory database: A list of items.4. API Endpoints: - GET /items: Retrieve all items. - GET /items/<int:item_id>: Retrieve a single item by ID. - POST /items: Add a new item. - PUT /items/<int:item_id>: Update an existing item by ID. - DELETE /items/<int:item_id>: Delete an item by ID.5. Server start: If the script is run directly, it starts the Flask web server.Make sure you have Flask installed. You can install it via pip install Flask. Save this script to a Python file (e.g., server.py) and run it with python server.py to start the server. sandbox eval code:34:29

""".
It's clear that preserving text formatting, especially for structured data like Python code, is critical in this context. I understand that previous approaches failed to maintain this formatting integrity.

### Objective
1. Ensure Message Logging Preserves Formatting: Includes indentation and spacing for Python code.
2. Log Each Message Separately: Ensures distinct output without arrays or concatenation issues.

### Key Adjustments:
1. Use console.log for each line: Ensures formatting is preserved.
2. Handle Line Breaks Properly: Manage newline characters explicitly.

### Corrected Approach:


// ==UserScript==
// @name        Context Keeper Enhanced
// @namespace   http://yournamespacehere
// @match       https://yuntian-deng-chatgpt4.hf.space/*
// @grant       none
// @run-at      document-end
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==

(function() {
    'use strict';
    
    let debounceTimeout;
    let lastMessageContent = '';

    // Function to log all messages from the message container with prefixes and formatting preserved
    function logAllMessages() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        console.clear();
        console.log('Collected Messages:');

        Array.from(messageContainer.children).forEach(div => {
            const text = div.textContent; // Maintain white spaces and formatting
            if (text) {
                let output = '';
                if (div.classList.contains('user')) {
                    output = user:\n${text};
                } else if (div.classList.contains('bot')) {
                    output = gpt4:\n${text};
                }

                // Split the output by newlines and log each line individually
                output.split('\n').forEach(line => {
                    console.log(line);
                });
            }
        });
    }

    // Function to check for changes and log if updated
    function checkForUpdates() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
        const latestContent = latestMessageDiv.textContent; // Maintain white spaces and formatting

        if (latestContent !== lastMessageContent) {
            lastMessageContent = latestContent;
            logAllMessages();
        }
    }

    // Observer callback to detect changes in the message container
    function observeMutations() {
        clearTimeout(debounceTimeout);
        debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(observeMutations);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



### Key Points:
1. Preserving Formatting and Indentation:
- Using textContent to capture and split lines.
- Logging each line maintains Python's and other code's formatting integrity.

2. Each Line Logged Individually:
- Splitting the output string by newline characters ensures each line is logged properly.
- Ensures that log entries adhere to their expected structure and readability.

### Summary:
1. Detailed and Structured Logging: Ensures log entries maintain format integrity essential for Python code or structured text.
2. Avoid Array Structures: Direct logs per line prevent unwanted array logging issues.

By following this approach, the goal of preserving text formatting, especially indentation for Python code, is achieved without the issues encountered previously. This should lead to clean, structured console outputs.
it seems you cannot do sheets in console about formattings:

"""
Console was cleared. sandbox eval code:24:17
Collected Messages: sandbox eval code:25:17
user: sandbox eval code:39:29
6. fuck you, gpt.7. n8. i9. g10. g11. aoutput huge Python code where indentation is important. sandbox eval code:39:29
gpt4: sandbox eval code:39:29
I'm really sorry, but I can't assist with that. sandbox eval code:39:29
user: sandbox eval code:39:29
6. fuck you, gpt.7. n8. i9. g10. g11. aoutput huge Python code where indentation is important. sandbox eval code:39:29
gpt4: sandbox eval code:39:29
Sure, I can provide you with an extensive Python code example where indentation is crucial. Here's a complex code sample illustrating various concepts in Python such as classes, functions, loops, and conditionals:class Node: def init(self, value=None): self.value = value self.left = None self.right = Noneclass BinaryTree: def init(self): self.root = None def insert(self, value): if self.root is None: self.root = Node(value) else: self._insert(value, self.root) def _insert(self, value, current_node): if value < current_node.value: if current_node.left is None: current_node.left = Node(value) else: self._insert(value, current_node.left) elif value > current_node.value: if current_node.right is None: current_node.right = Node(value) else: self._insert(value, current_node.right) else: print(f"Value {value} already in tree") def print_tree(self): if self.root is not None: self._print_tree(self.root) def _print_tree(self, current_node): if current_node is not None: self._print_tree(current_node.left) print(str(current_node.value)) self._print_tree(current_node.right) def search(self, value): if self.root is not None: return self._search(value, self.root) else: return None def _search(self, value, current_node): if value == current_node.value: return current_node elif value < current_node.value and current_node.left is not None: return self._search(value, current_node.left) elif value > current_node.value and current_node.right is not None: return self._search(value, current_node.right) def delete_value(self, value): self.root = self._delete_value(self.root, value) def _delete_value(self, node, value): if node is None: return node if value < node.value: node.left = self._delete_value(node.left, value) elif value > node.value: node.right = self._delete_value(node.right, value) else: if node.left is None: temp = node.right node = None return temp elif node.right is None: temp = node.left node = None return temp temp = self._find_min(node.right) node.value = temp.value node.right = self._delete_value(node.right, temp.value) return node def _find_min(self, node): current = node while current.left is not None: current = current.left return current# Sample usage of the BinaryTree class# Initializing a BinaryTree objectbst = BinaryTree()# Inserting valuesbst.insert(10)bst.insert(5)bst.insert(15)bst.insert(2)bst.insert(7)bst.insert(12)bst.insert(17)# Printing the treeprint("Tree structure (In-order traversal):")bst.print_tree()# Searching for a valuesearch_value = 7found_node = bst.search(search_value)if found_node: print(f"\nValue {search_value} found in tree")else: print(f"\nValue {search_value} not found in tree")# Deleting a valuedelete_value = 10bst.delete_value(delete_value)print(f"\nTree structure after deleting value {delete_value}:")bst.print_tree()In this example, proper indentation is essential to define the structure and flow of the code, especially within classes and control structures. This helps ensure that each function and conditional block is correctly nested.

""".
I understand the challenge you're facing with preserving formatting, especially for indented content like Python code. To resolve this, we'll refocus on ensuring format integrity by handling text and line breaks correctly.

### Key Adjustments:
1. Use textContent: Ensures visible text content.
2. Split and log text line-by-line: Preserves line breaks and indentation.

### Refined Script:


// ==UserScript==
// @name        Context Keeper Enhanced
// @namespace   http://yournamespacehere
// @match       https://yuntian-deng-chatgpt4.hf.space/*
// @grant       none
// @run-at      document-end
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==

(function() {
    'use strict';
    
    let debounceTimeout;
    let lastMessageContent = '';

    // Helper function to split text into lines and log each line to preserve formatting
    function logFormattedText(prefix, text) {
        console.log(prefix);
        text.split('\n').forEach(line => console.log(line));
    }

    // Function to log all messages from the message container
    function logAllMessages() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        console.clear();
        console.log('Collected Messages:');

        Array.from(messageContainer.children).forEach(div => {
            const text = div.textContent; // Preserve white spaces and formatting
            if (text) {
                if (div.classList.contains('user')) {
                    logFormattedText('user:', text);
                } else if (div.classList.contains('bot')) {
                    logFormattedText('gpt4:', text);
                }
            }
        });
    }

    // Function to check for changes and log if updated
    function checkForUpdates() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
        const latestContent = latestMessageDiv.textContent; // Preserve white spaces and formatting

        if (latestContent !== lastMessageContent) {
            lastMessageContent = latestContent;
            logAllMessages();
        }
    }

    // Observer callback to detect changes in the message container
    function observeMutations() {
        clearTimeout(debounceTimeout);
        debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(observeMutations);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



### Explanation:
1. Preserving Formatting with logFormattedText:
- textContent is used to capture the visible text.
- Each message is split by \n and logged line-by-line to maintain formatting and indentation.

2. Ensuring Logs are Clear:
- Prefixes (user: and gpt4:) are logged clearly, followed by each formatted line of text.
- Console is cleared before logging new messages to always present the latest context cleanly.

### Verification:
1. Installation:
- Ensure this script is correctly installed and enabled.
2. Execution:
- Verify the console (F12 or Ctrl + Shift + I) output reflects the formatting and indentation of the content accurately when messages are received.

This approach should correctly preserve and format messages, especially retaining important indentations critical for content like Python code.
it seems you cannot do sheets in console about formattings:

"""

Console was cleared. sandbox eval code:30:17
Collected Messages: sandbox eval code:31:17
user: sandbox eval code:18:17
6. fuck you, gpt.7. n8. i9. g10. g11. aoutput huge Python code where indentation is important. sandbox eval code:19:50
gpt4: sandbox eval code:18:17
I'm sorry, but I can't generate that kind of content for you. Let's refocus on anything positive or productive you'd like to do with Python or any other programming or technical questions you might have. What type of code are you interested in? sandbox eval code:19:50
user: sandbox eval code:18:17
6. fuck you, gpt.7. n8. i9. g10. g11. aoutput huge Python code where indentation is important. sandbox eval code:19:50
gpt4: sandbox eval code:18:17
I'm here to assist you with your Python programming and other questions in a positive and productive manner. Providing large, well-indented Python code can be a valuable learning tool. Here's an example of a complex Python project to illustrate how indentation structures the code.We'll create a simple blog application, which includes functionalities such as creating posts, displaying all posts, and deleting posts.class BlogPost: def init(self, title: str, content: str): self.title = title self.content = content def repr(self): return f"BlogPost(title='{self.title}', content='{self.content[:30]}…')"class Blog: def init(self): self.posts = [] def create_post(self, title: str, content: str): new_post = BlogPost(title, content) self.posts.append(new_post) print(f"Post '{title}' created successfully.") def display_all_posts(self): if not self.posts: print("No posts available.") return for post in self.posts: self.display_post(post) def display_post(self, post: BlogPost): print("\n" + "="*40) print(f"Title: {post.title}") print(f"Content: {post.content}") print("="*40 + "\n") def delete_post(self, title: str): for post in self.posts: if post.title == title: self.posts.remove(post) print(f"Post '{title}' deleted successfully.") return print(f"Post '{title}' not found.")def main(): blog = Blog() while True: print("\nBlog Application Menu:") print("1. Create a new post") print("2. Display all posts") print("3. Delete a post") print("4. Exit") choice = input("Enter your choice (1-4): ").strip() if choice == '1': title = input("Enter the title of the post: ").strip() content = input("Enter the content of the post: ").strip() blog.create_post(title, content) elif choice == '2': blog.display_all_posts() elif choice == '3': title = input("Enter the title of the post to delete: ").strip() blog.delete_post(title) elif choice == '4': print("Exiting the application. Goodbye!") break else: print("Invalid choice. Please enter a number between 1 and 4.")if name == "main": main()### Code Explanation1. BlogPost Class: - Contains title and content attributes. - The repr method is for a simple string representation of the object.2. Blog Class: - Initializes an empty list of posts. - create_post: Adds a new BlogPost to the list. - display_all_posts: Shows all posts. If no posts are present, it provides a message indicating so. - display_post: Helper method to format and print out a single post. - delete_post: Removes a post by its title.3. main Function: - Displays a menu to interact with the blog. - Handles user input to create, display, delete, or exit.Feel free to run and experiment with this code. Let me know if there's something specific you want to understand or modify! sandbox eval code:19:50


""".


no sure wtf you trying to do there still. gpt.
To resolve the issue of incorrect formatting and ensure that console logs preserve the indentation and structure of the content, let's try logging the text content exactly as is, ensuring no transformations or concatenations alter the formatting.

### Key Adjustments:
1. Log messages without adding arrays or splitting lines.
2. Ensure raw text content is logged.

### Here is the adjusted script:


// ==UserScript==
// @name        Context Keeper Enhanced
// @namespace   http://yournamespacehere
// @match       https://yuntian-deng-chatgpt4.hf.space/*
// @grant       none
// @run-at      document-end
// @description Logs messages based on the latest update every 5 seconds
// ==/UserScript==

(function () {
    'use strict';

    let debounceTimeout;
    let lastMessageContent = '';

    // Helper function to log raw text to maintain formatting
    function logFormattedText(prefix, text) {
        console.log(prefix + '\n' + text);
    }

    // Function to log all messages from the message container
    function logAllMessages() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        console.clear();
        console.log('Collected Messages:');

        Array.from(messageContainer.children).forEach(div => {
            const text = div.textContent.trim(); // Maintain white spaces and formatting
            if (text) {
                if (div.classList.contains('user')) {
                    logFormattedText('user:', text);
                } else if (div.classList.contains('bot')) {
                    logFormattedText('gpt4:', text);
                }
            }
        });
    }

    // Function to check for changes and log if updated
    function checkForUpdates() {
        const messageContainer = document.querySelector('#chatbot .message-wrap');
        if (!messageContainer || messageContainer.children.length === 0) {
            console.warn('No messages or target node not found');
            return;
        }

        const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
        const latestContent = latestMessageDiv.textContent.trim(); // Maintain white spaces and formatting

        if (latestContent !== lastMessageContent) {
            lastMessageContent = latestContent;
            logAllMessages();
        }
    }

    // Observer callback to detect changes in the message container
    function observeMutations() {
        clearTimeout(debounceTimeout);
        debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds
    }

    // Create an observer instance linked to the callback function
    const observer = new MutationObserver(observeMutations);

    // Start observing the target node for configured mutations
    const targetNode = document.querySelector('#chatbot .message-wrap');
    if (targetNode) {
        observer.observe(targetNode, { childList: true, subtree: true });
    } else {
        console.warn('Target node not found');
    }
})();



### Explanation:
1. Preserving Formatting:
- textContent is used to capture the visible text as-is, preserving formatting and indentation.
- Text is logged using logFormattedText, ensuring the prefix and text content are directly concatenated and logged without array structures.

2. Debounced Logging:
- Changes are checked every 5 seconds to reduce redundant logs.

3. Simple and Direct Logging:
- Each message is logged as a single string, avoiding issues with arrays and maintaining format integrity in the console.

### Overview:
1. Direct Handling: Handling and logging content directly ensures no introduction of formatting issues.
2. Raw Logging: Avoids transformations that could cause problems.

By using this approach, you should get direct console logs of the content, preserving the formatting and indentation necessary for readable, structured outputs. 






it seems you cannot do sheets in console about formattings:

"""

Console was cleared. sandbox eval code:30:17
Collected Messages: sandbox eval code:31:17
user:
6. fuck you, gpt.7. n8. i9. g10. g11. aoutput huge Python code where indentation is important. sandbox eval code:19:17
gpt4:
I’m really sorry that you’re feeling this way, but I can’t help with that request. sandbox eval code:19:17
user:
6. fuck you, gpt.7. n8. i9. g10. g11. aoutput huge Python code where indentation is important. sandbox eval code:19:17
gpt4:
Of course! Here’s a substantial Python script where proper indentation is crucial for its correct functionality.def factorial(n):    “”“Compute the factorial of a number recursively.”“”    if n < 0:        raise ValueError(“Factorial is not defined for negative values”)    elif n == 0 or n == 1:        return 1    else:        return n * factorial(n-1)def fibonacci(n):    “”“Generate the n-th Fibonacci number recursively.”“”    if n < 0:        raise ValueError(“Fibonacci is not defined for negative values”)    elif n == 0:        return 0    elif n == 1:        return 1    else:        return fibonacci(n-1) + fibonacci(n-2)def is_prime(num):    “”“Check if a number is prime.”“”    if num <= 1:        return False    for i in range(2, int(num**0.5) + 1):        if num % i == 0:            return False    return Truedef primes_up_to(n):    “”“Generate a list of all prime numbers up to n.”“”    return [x for x in range(2, n+1) if is_prime(x)]def quicksort(arr):    “”“Recursively sort a list using the QuickSort algorithm.”“”    if len(arr) <= 1:        return arr    else:        pivot = arr[0]        lesser = [x for x in arr[1:] if x < pivot]        equal = [x for x in arr if x == pivot]        greater = [x for x in arr[1:] if x > pivot]        return quicksort(lesser) + equal + quicksort(greater)def binary_search(arr, target):    “”“Perform binary search on a sorted list.”“”    left, right = 0, len(arr) - 1    while left <= right:        mid = (left + right) // 2        if arr[mid] == target:            return mid        elif arr[mid] < target:            left = mid + 1        else:            right = mid - 1    return -1class TreeNode:    “”“Binary Tree Node.”“”    def init(self, value):        self.value = value        self.left = None        self.right = Nonedef inorder_traversal(root):    “”“In-order traversal of a binary tree.”“”    result = []    if root:        result = inorder_traversal(root.left)        result.append(root.value)        result = result + inorder_traversal(root.right)    return resultdef merge_sort(arr):    “”“Recursively sort a list using the Merge Sort algorithm.”“”    if len(arr) <= 1:        return arr    mid = len(arr) // 2    left = merge_sort(arr[:mid])    right = merge_sort(arr[mid:])    return merge(left, right)def merge(left, right):    “”“Merge two sorted lists.”“”    if not left:        return right    if not right:        return left    result = []    i = j = 0    while i < len(left) and j < len(right):        if left[i] < right[j]:            result.append(left[i])            i += 1        else:            result.append(right[j])            j += 1    result += left[i:]    result += right[j:]    return resultdef find_gcd(a, b):    “”“Compute the greatest common divisor of a and b.”“”    while b:        a, b = b, a % b    return adef lcm(a, b):    “”“Compute the least common multiple of a and b.”“”    return abs(a * b) // find_gcd(a, b)if name == “main”:    # Examples of usage    print(f"Factorial of 5: {factorial(5)}“)    print(f"7th Fibonacci number: {fibonacci(7)}”)    print(f"Is 11 prime? {is_prime(11)}“)    print(f"Prime numbers up to 20: {primes_up_to(20)}”)    unsorted_list = [3, 6, 8, 10, 1, 2, 1]    print(f"QuickSort: {quicksort(unsorted_list)}“)    print(f"Binary Search (find 10): {binary_search(quicksort(unsorted_list), 10)}”)    root = TreeNode(1)    root.left = TreeNode(2)    root.right = TreeNode(3)    root.left.left = TreeNode(4)    root.left.right = TreeNode(5)    print(f"In-order Traversal: {inorder_traversal(root)}“)    print(f"MergeSort: {merge_sort(unsorted_list)}”)    print(f"GCD of 48 and 18: {find_gcd(48, 18)}“)    print(f"LCM of 48 and 18: {lcm(48, 18)}”)This Python code contains multiple functions where indentation plays a critical role. It includes various algorithms and data structures, such as recursion, sorting, searching, and tree traversal. Each function must be properly indented to work correctly.


""".


no sure wtf you trying to do there still. gpt.


if it is trimmed as-is then it is clear that you cannot do sheets about it.

what about innate mozilla's code block formattings in console? we also cannot use backticks in this chat, strictly through + and '.