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36,142
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I'm creating one data porting server in node js.
This is the start file.
Please review for scalability, robustness and generic approach which can be useful for others
const express = require('express');
const bodyParser = require('body-parser');
const methodOverride = require('method-override');
const http = require('http');
const _ = require('lodash');
const cors = require('cors');
const configurations = require("./config.json");
// Import and Create a new instance with optional custom settings
const options = {
lockFileName: 'porting-server.lock',
killTimeout: 10000, // Set the timeout for waiting before terminating previous instance (in ms) if its already running.
waitForExitTimeout: 20000, // Set the timeout for waiting for the old process to exit (milliseconds)
checkInterval: 500, // Set the interval for checking the status of the other process (milliseconds)
maxRetries: 3, // Set the maximum number of retries for acquiring the lock
defaultAnswer: 'yes' // Set the default answer for user prompts
}
const LockManager = require('node-locksmith');
const lockManager = new LockManager(options);
// Initializes termination event handlers for graceful application shutdown.
lockManager.initializeTerminationHandlers();
// Import Logger
const createLogger = require('../../services/Logger');
// Create the application
const app = module.exports = express();
// Setup Logger
const logger = createLogger('porting-server'); // File name
// Attach logger to the app
app.logger = logger;
/**
* Initialize the Server.
* This function handles the setup of the application, including database connection, middleware,
* error handling, and HTTP server creation.
*/
async function initializeApp() {
try {
// Check for lock
await lockManager.checkLock();
// Create the lock with a timeout and retries of specified intervals
await lockManager.createLock(Infinity, 3);
// Connect to MongoDB using MongoDBService
await connectToDatabase(configurations.mongodbURL, logger);
// Add middleware necessary for REST APIs
app.use(cors());
app.use(methodOverride('X-HTTP-Method-Override'));
app.use(bodyParser.json({
limit: '10mb'
}));
app.use(bodyParser.urlencoded({
limit: '10mb',
extended: true,
parameterLimit: 10000
}));
// CORS Support
app.use(function (req, res, next) {
logger.info('Processing request:', req.url);
if (req.body && Object.keys(req.body).length > 0) {
logger.info('Request Body:', req.body);
}
res.header('Access-Control-Allow-Origin', '*');
res.header('Access-Control-Allow-Headers', 'Content-Type, Authorization');
res.header('Access-Control-Allow-Methods', 'GET, POST, PUT, DELETE, PATCH');
if (req.method === 'OPTIONS') {
return res.status(200).json({});
} else {
next();
}
});
// Error handling middleware
app.use(function (err, req, res, next) {
if (err.name === 'UnauthorizedError') {
res.status(401);
res.json({
"message": err.name + ": " + err.message
});
} else {
logger.error(err.stack);
res.status(500);
res.json({
"message": "Internal Server Error"
});
}
});
// Load the models
app.models = require('./models/index');
// Load the Routes dynamically
createRoutes();
process.on('unhandledRejection', (error, promise) => {
logger.error('Unhandled Promise Rejection:', error);
});
// Create an HTTP service.
const httpPort = configurations.serverPort;
logger.info(`HTTP server is listening on port: ${httpPort}`);
http.createServer(app).listen(httpPort);
} catch (error) {
logger.error('Initialization error:', error);
process.exit(1);
}
}
const createRoutes = () => {
const routes = require('./routes');
_.each(routes, function (controller, route) {
app.use(route, controller(app, route));
});
};
// Call the async function to initialize the app
initializeApp();
|
ccf9f9bc1ea2ef641318ad2f7c6a9bf1
|
{
"intermediate": 0.5391057729721069,
"beginner": 0.3525484502315521,
"expert": 0.10834576189517975
}
|
36,143
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: The instance received a direct order to mark the task complete. Executed the ‘task_complete’ command in response to the user’s request.Initiated a Google search to find the most recent developments in technology on December 22, 2023. No files written, no URLs visited yet. After obtaining the search results, the next steps will be to evaluate and prioritize them before presenting a sorted list to the user.saved google search results at googleresults52.txt to retrieve if shutdown randomly.I have received search results and selected the Indian Express article that appears to contain a variety of recent tech news. After reviewing the Indian Express article, the next step is to scrutinize other articles for additional intriguing tech developments. No files written, URLs visited: Indian Express article.saved the scraping of the website results at websiteresults53.txt to retrieve if shutdown randomly.Gathered details on the recent tech developments from the Indian Express article dated December 22, 2023. Next step is to sort these details based on their Instagram appeal and engagement levels. Added the gathered information to memory with the key ‘TechNewsDetails’ for later retrieval. URLs visited: Indian Express website for tech news.Retrieving tech news information from memory to sort by appeal for Instagram users. Depending on the memory retrieval, the following action will be to rank the news from most to least intriguing based on the expected engagement levels. Previously, information was added to memory under the key ‘TechNewsDetails’.Tech news details have been retrieved. The task now is to rank them based on their visual and interest appeal for Instagram users. Previously added information has been successfully recalled from memory with the key ‘TechNewsDetails’.Ranked tech news based on potential Instagram appeal and engagement levels, as follows: Galaxy S24 leak, Apple’s Vision Pro headset, Windows 10 e-waste concerns, Android 14 battery features, Twitter outage, and Apple Watch patent repair issue. The task is now complete, and no further action is required.The instance was tasked with sending a ranked list of tech news to the user. The sorted list based on the potential Instagram appeal was successfully sent via message_user command. No further tasks have been assigned yet. No new files were created, and no URLs were visited in the process. If the user presents a new task, it will be necessary to follow the previously established procedures and constraints.The task of sending the ranked list of tech news was completed, and the message was successfully sent to the user. No further actions were required, and no additional files or URLs were involved in this process. The system has indicated that the message was sent, so the task should be marked as complete.A task has been given to create an Instagram post about the Apple Vision Pro headset. I have initiated a Google search for tips on creating prompts for DALL-E 3 specific to this product to ensure the visual content’s relevance and appeal. Next, I will draft a prompt based on the tips retrieved and proceed with creating the Instagram post. No files have been written, and no other URLs have been visited as part of this task yet.saved google search results at googleresults54.txt to retrieve if shutdown randomly.In response to the task of making an Instagram post about the Apple Vision Pro headset, a Google search was conducted for DALL-E 3 prompt tips. Although the search results did not directly provide prompt suggestions, insights were gleaned from the available information to create a descriptive and imaginative prompt. The make_post command was used with the crafted prompt intending to generate a visually appealing Instagram post. No files have been written, and no URLs have been visited during this stage of the task execution.The task of creating an Instagram post about the Apple Vision Pro headset was addressed by generating a prompt and executing the make_post command. Awaiting potential further instructions from the user. No new information has been added to the memory, and no new files or URLs have been engaged since the last command.The task is to make an Instagram post about the Apple Vision Pro headset. Started by conducting a Google search for the latest information on the product to ensure the post’s accuracy and relevance. No files written, no URLs visited, and no other actions taken since the last update.saved google search results at googleresults55.txt to retrieve if shutdown randomly.Set to browse the official Apple website for concrete details on the Apple Vision Pro headset to gather accurate information for the Instagram post. No files have been written and no other URLs visited apart from initiating this action. The summary from the previous GPT included search results on the release date and features. The process of creating the Instagram post is in progress.saved the scraping of the website results at websiteresults56.txt to retrieve if shutdown randomly.Initiated Google search for the latest news about the Apple Vision Pro headset to create an Instagram post. No files written yet. URLs visited will depend on the search results received. The Instagram post has yet to be crafted.saved google search results at googleresults57.txt to retrieve if shutdown randomly.Chose to browse the official Apple Vision Pro webpage to gather details for the Instagram post. Next steps include extracting the needed information and creating the post. Previous search results listed multiple sources, but the official site was deemed most reliable. No files written yet. URLs visited: the official Apple Vision Pro page (pending visit).saved the scraping of the website results at websiteresults58.txt to retrieve if shutdown randomly.Extracted details from the official Apple Vision Pro webpage to create an Instagram post. Compiled a prompt for DALL-E 3 to illustrate the product’s unique features. Drafted a concise caption that announces the product, highlights its capabilities, and shares the expected availability date. No files were created or written to during this process. URLs visited: official Apple Vision Pro page.Completed the task to make an Instagram post about the Apple Vision Pro headset. A detailed image prompt was given to DALL-E 3, and an appropriate caption was crafted to accompany the visual content. The post’s aim is to inform and excite the audience about the new product. No further action is required as the post creation task is concluded. No files were created or written to. The last URL visited was the official Apple Vision Pro page.No new actionable information was provided. The task mentions the text is too long and has hashtags that need to be shortened, but without the text itself or a file reference, no further steps were taken. No new files were created or written. Awaiting more details to proceed with task completion.I have requested the detailed information or file name that includes the text needing to be shortened. This step is crucial for the completion of the task as per the user’s instruction. No files were written, no URLs visited, and no actions were initiated apart from sending a message to the user for clarification.The user has provided text that needs to be shortened concerning the Apple Vision Pro news from December 22nd. I am retrieving information from memory to reformulate the text without hashtags and to make it concise, as requested by the user. No files have been created or URLs visited as part of this task yet.Stored the full list of tech news details in memory under the key ‘CondensedTechNews’ to create an Instagram post about the Apple Vision Pro headset. The user’s provided text will be shortened, and hashtags removed based on this new input. Memory added under the ‘CondensedTechNews’ key. Next step: Craft a short caption for the Instagram post with no hashtags.I have initiated the retrieval of the tech news details to fulfill the user’s request to shorten a specific part of the text about the Apple Vision Pro headset. This action is in preparation for drafting a concise Instagram caption based on the information on December 22nd. No other files or URLs are involved in this process.A need to edit the Apple Vision Pro news was identified, but there was unnecessary repetition of the memory retrieval action instead of directly proceeding with text shortening. No new files have been created, and no URLs were visited. The plan is to now condense the text regarding the Apple Vision Pro headset for the Instagram post.Condensed the Apple Vision Pro announcement into a brief caption for Instagram post: ‘Apple Vision Pro, the future of immersive tech launches in February.’ This shortened version has been saved to a file named ‘apple_vision_pro_summary.txt’ for easy retrieval. No hashtags are included, and the text is concise as per the user’s request.Created a brief caption for the Instagram post about the Apple Vision Pro headset and communicated it to the user. The caption has been sent without waiting for a response. The caption is stored in ‘apple_vision_pro_summary.txt’ in case future reference is necessary.The task of creating and delivering a shortened Instagram caption about the Apple Vision Pro headset has been completed. The text was successfully sent to the user, and no further actions are required at this point.The user requested a shorter text version of the Apple Vision Pro news suitable for an Instagram post. I am reading the content of ‘apple_vision_pro_summary.txt’ to extract necessary details. Previous file created: apple_vision_pro_summary.txt. No new URLs visited.I sent the short text ‘Apple Vision Pro, the future of immersive tech launches in February.’ to the user. Awaiting further instructions or confirmation to complete the task. The text is based on the Apple Vision Pro announcement. File referenced: apple_vision_pro_summary.txt.The short text for the Apple Vision Pro Instagram post was sent to the user, and the message delivery was confirmed. Task marked as complete.Conducted a Google search for tips on prompts for DALL-E 3, with the results saving to ‘googleresults55.txt’. Chose the Apple Vision Pro headset as the subject for an Instagram post and crafted a short caption for it, saved in ‘apple_vision_pro_summary.txt’. The caption is ‘Apple Vision Pro, the future of immersive tech launches in February.’ and is now being used to create the Instagram post.Executed ‘make_post’ command to create an Instagram post about the Apple Vision Pro headset using the previously crafted caption. The file ‘apple_vision_pro_summary.txt’ contains the caption ‘Apple Vision Pro, the future of immersive tech launches in February.’ Currently in standby mode awaiting user instructions or the confirmation of the completion of the task.No new actions have been taken since the ‘make_post’ command was issued to create an Instagram post about the Apple Vision Pro headset. The system remains in standby mode, ready to respond to any new user directives.Remained in stand-by mode following the completion of the ‘make_post’ command related to the Apple Vision Pro headset, as there have been no subsequent user instructions.Issued the ‘make_post’ command for the Apple Vision Pro Instagram post, and after multiple ‘proceed with your plan’ prompts without additional instructions, marking the task as complete.Initiated retrieval of the source URL for the Apple Vision Pro news from the file ‘websiteresults58.txt’. Awaiting the file’s content to find the link to send to the user. No steps have been missed so far. File referenced: ‘websiteresults58.txt’.After reading the provided text about the Apple Vision Pro, I have deduced that the source is the official Apple website. I messaged the user the Apple website URL as the source of the news. No new files created and no counts or browses performed in this action.The user has requested the source link for the Apple Vision Pro news. I have initiated a command to read from ‘websiteresults58.txt’, which is expected to contain the URL. After obtaining the link, I’ll send it to the user. No new files created, and no URLs visited since the last update.Retrieved the source URL for Apple Vision Pro news from ‘websiteresults58.txt’. Prepared to send the URL to the user once extracted.Gathered the content given by the user describing the Apple Vision Pro, inferred the official Apple webpage URL, and sent the link to the user. No files were created or read in this process. Waiting for the user’s response or further instructions.The link to the source of the Apple Vision Pro news was successfully sent to the user. The user was given the URL https://www.apple.com/vision/, and a system message indicated the successful delivery of that message. The task was completed as instructed, and the task_complete command was used to mark the completion.The user has tasked me with summarizing a URL and providing bullet points. The URL is ‘https://www.mobileworldlive.com/apple/apple-prepares-for-vision-pro-release/’. I am about to browse the URL to gather the necessary information to create the summary.saved the scraping of the website results at websiteresults59.txt to retrieve if shutdown randomly.I have summarized the main points of the article from ‘https://www.mobileworldlive.com/apple/apple-prepares-for-vision-pro-release/’ into a bullet list and saved this information in a new file named ‘vision_pro_summary.txt’. The file contains concise bullet points covering the key details about the Apple Vision Pro release as stated in the article.After summarizing the content on the Apple Vision Pro release into bullet points, the text was saved into ‘vision_pro_summary.txt’. The user has been notified of the completion of the task and the location of the summary file.The summary of the URL provided by the user has been successfully created, saved into ‘vision_pro_summary.txt’, and the user has been informed. The system is now being shut down as the task is complete.The user has requested the summary of the article in a message. The summary has been saved in the file named ‘vision_pro_summary.txt’. Next step is to send the content of the file to the user as a message.The bullet-point summary of the article has been sent as a message to the user. No new files have been created or read, the summary was directly provided. The task will be marked as complete after message delivery is confirmed.The message with the bullet-point summary has been successfully sent to the user. I’ve received a system confirmation, ‘message sent please proceed with your plan’, which indicates that the task is now complete. I am now executing the ‘task_complete’ command.
The Task: mark the task as complete.
|
3e29d6f1e973d24125a5665f09cbc275
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
36,144
|
Определи из-за чего произошел краш в майнкрафтике
---- Minecraft Crash Report ----
// Shall we play a game?
Time: 2023-12-23 12:08:31
Description: Tessellating block in world - Indium Renderer
java.lang.IllegalAccessError: ‘boolean link.infra.indium.renderer.render.TerrainRenderContext.hasTransform()’
at net.fabricmc.fabric.impl.renderer.VanillaModelEncoder.emitBlockQuads(VanillaModelEncoder.java:54)
at net.fabricmc.fabric.api.renderer.v1.model.FabricBakedModel.emitBlockQuads(FabricBakedModel.java:97)
at net.minecraft.class_1097.emitBlockQuads(class_1097.java:574)
at net.fabricmc.fabric.api.renderer.v1.model.ForwardingBakedModel.emitBlockQuads(ForwardingBakedModel.java:51)
at link.infra.indium.renderer.render.TerrainRenderContext.tessellateBlock(TerrainRenderContext.java:131)
at me.jellysquid.mods.sodium.client.render.chunk.compile.tasks.ChunkBuilderMeshingTask.redirectecd000indiumonRenderBlock(ChunkBuilderMeshingTask.java:543)
at me.jellysquid.mods.sodium.client.render.chunk.compile.tasks.ChunkBuilderMeshingTask.execute(ChunkBuilderMeshingTask.java:103)
at me.jellysquid.mods.sodium.client.render.chunk.compile.tasks.ChunkBuilderMeshingTask.execute(ChunkBuilderMeshingTask.java:39)
at me.jellysquid.mods.sodium.client.render.chunk.compile.executor.ChunkJobTyped.execute(ChunkJobTyped.java:44)
at me.jellysquid.mods.sodium.client.render.chunk.compile.executor.ChunkBuilderWorkerRunnable.run(ChunkBuilder.java:186)
at java.base/java.lang.Thread.run(Thread.java:840)
A detailed walkthrough of the error, its code path and all known details is as follows:
---------------------------------------------------------------------------------------
– Head –
Thread: Render thread
Stacktrace:
at net.fabricmc.fabric.impl.renderer.VanillaModelEncoder.emitBlockQuads(VanillaModelEncoder.java:54)
at net.fabricmc.fabric.api.renderer.v1.model.FabricBakedModel.emitBlockQuads(FabricBakedModel.java:97)
at net.minecraft.class_1097.emitBlockQuads(class_1097.java:574)
at net.fabricmc.fabric.api.renderer.v1.model.ForwardingBakedModel.emitBlockQuads(ForwardingBakedModel.java:51)
at link.infra.indium.renderer.render.TerrainRenderContext.tessellateBlock(TerrainRenderContext.java:131)
at me.jellysquid.mods.sodium.client.render.chunk.compile.tasks.ChunkBuilderMeshingTask.redirectecd000indiumonRenderBlock(ChunkBuilderMeshingTask.java:543)
Mixins in Stacktrace:
net.minecraft.class_1097:
net.fabricmc.fabric.mixin.renderer.client.WeightedBakedModelMixin (fabric-renderer-api-v1.mixins.json)
ca.fxco.moreculling.mixin.models.WeightedBakedModel_cacheMixin (moreculling.mixins.json)
me.jellysquid.mods.sodium.mixin.features.model.WeightedBakedModelMixin (sodium.mixins.json)
net.fabricmc.fabric.api.renderer.v1.model.ForwardingBakedModel:
ca.fxco.moreculling.mixin.models.ForwardingBakedModel_compatMixin (moreculling.mixins.json)
me.jellysquid.mods.sodium.client.render.chunk.compile.tasks.ChunkBuilderMeshingTask:
net.coderbot.iris.compat.sodium.mixin.block_id.MixinChunkRenderRebuildTask (mixins.iris.compat.sodium.json)
link.infra.indium.mixin.sodium.MixinChunkBuilderMeshingTask (indium.mixins.json)
me.cortex.nvidium.sodiumCompat.mixin.MixinChunkBuilderMeshingTask (nvidium.mixins.json)
-- Block being tessellated --
Details:
Block: Block{minecraft:dirt_path}
Block location: World: (306,80,-2142), Section: (at 2,0,2 in 19,5,-134; chunk contains blocks 304,-64,-2144 to 319,319,-2129), Region: (0,-5; contains chunks 0,-160 to 31,-129, blocks 0,-64,-2560 to 511,319,-2049)
Stacktrace:
at link.infra.indium.renderer.render.TerrainRenderContext.tessellateBlock(TerrainRenderContext.java:131)
at me.jellysquid.mods.sodium.client.render.chunk.compile.tasks.ChunkBuilderMeshingTask.redirectecd000$indiumonRenderBlock(ChunkBuilderMeshingTask.java:543)
at me.jellysquid.mods.sodium.client.render.chunk.compile.tasks.ChunkBuilderMeshingTask.execute(ChunkBuilderMeshingTask.java:103)
at me.jellysquid.mods.sodium.client.render.chunk.compile.tasks.ChunkBuilderMeshingTask.execute(ChunkBuilderMeshingTask.java:39)
at me.jellysquid.mods.sodium.client.render.chunk.compile.executor.ChunkJobTyped.execute(ChunkJobTyped.java:44)
at me.jellysquid.mods.sodium.client.render.chunk.compile.executor.ChunkBuilderWorkerRunnable.run(ChunkBuilder.java:186)
at java.base/java.lang.Thread.run(Thread.java:840)
Mixins in Stacktrace:
me.jellysquid.mods.sodium.client.render.chunk.compile.tasks.ChunkBuilderMeshingTask:
net.coderbot.iris.compat.sodium.mixin.block_id.MixinChunkRenderRebuildTask (mixins.iris.compat.sodium.json)
link.infra.indium.mixin.sodium.MixinChunkBuilderMeshingTask (indium.mixins.json)
me.cortex.nvidium.sodiumCompat.mixin.MixinChunkBuilderMeshingTask (nvidium.mixins.json)
– Block being rendered –
Details:
Block: Block{minecraft:dirt_path}
Block location: World: (306,80,-2142), Section: (at 2,0,2 in 19,5,-134; chunk contains blocks 304,-64,-2144 to 319,319,-2129), Region: (0,-5; contains chunks 0,-160 to 31,-129, blocks 0,-64,-2560 to 511,319,-2049)
Chunk section: RenderSection at chunk (19, 5, -134) from (304, 80, -2144) to (319, 95, -2129)
Render context volume: class_3341{minX=302, minY=78, minZ=-2146, maxX=321, maxY=97, maxZ=-2127}
Stacktrace:
at me.jellysquid.mods.sodium.client.render.chunk.compile.tasks.ChunkBuilderMeshingTask.execute(ChunkBuilderMeshingTask.java:103)
at me.jellysquid.mods.sodium.client.render.chunk.compile.tasks.ChunkBuilderMeshingTask.execute(ChunkBuilderMeshingTask.java:39)
at me.jellysquid.mods.sodium.client.render.chunk.compile.executor.ChunkJobTyped.execute(ChunkJobTyped.java:44)
at me.jellysquid.mods.sodium.client.render.chunk.compile.executor.ChunkBuilder$WorkerRunnable.run(ChunkBuilder.java:186)
at java.base/java.lang.Thread.run(Thread.java:840)
Mixins in Stacktrace:
me.jellysquid.mods.sodium.client.render.chunk.compile.tasks.ChunkBuilderMeshingTask:
net.coderbot.iris.compat.sodium.mixin.block_id.MixinChunkRenderRebuildTask (mixins.iris.compat.sodium.json)
link.infra.indium.mixin.sodium.MixinChunkBuilderMeshingTask (indium.mixins.json)
me.cortex.nvidium.sodiumCompat.mixin.MixinChunkBuilderMeshingTask (nvidium.mixins.json)
– Affected level –
Details:
All players: 2 total; [class_746[‘MixaDeD’/113828, l=‘ClientLevel’, x=462.27, y=62.17, z=-2034.42], class_745[‘AfiMka’/93334, l=‘ClientLevel’, x=461.76, y=62.17, z=-2033.80]]
Chunk stats: 678, 678
Level dimension: minecraft:overworld
Level spawn location: World: (-80,62,-16), Section: (at 0,14,0 in -5,3,-1; chunk contains blocks -80,-64,-16 to -65,319,-1), Region: (-1,-1; contains chunks -32,-32 to -1,-1, blocks -512,-64,-512 to -1,319,-1)
Level time: 167731 game time, 178863 day time
Server brand: fabric
Server type: Non-integrated multiplayer server
Stacktrace:
at net.minecraft.class_638.method_8538(class_638.java:458)
at net.minecraft.class_310.method_1587(class_310.java:2406)
at net.minecraft.class_310.method_1514(class_310.java:821)
at net.minecraft.client.main.Main.main(Main.java:250)
at net.fabricmc.loader.impl.game.minecraft.MinecraftGameProvider.launch(MinecraftGameProvider.java:470)
at net.fabricmc.loader.impl.launch.knot.Knot.launch(Knot.java:74)
at net.fabricmc.loader.impl.launch.knot.KnotClient.main(KnotClient.java:23)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:568)
at org.multimc.onesix.OneSixLauncher.launchWithMainClass(OneSixLauncher.java:243)
at org.multimc.onesix.OneSixLauncher.launch(OneSixLauncher.java:278)
at org.multimc.EntryPoint.listen(EntryPoint.java:143)
at org.multimc.EntryPoint.main(EntryPoint.java:34)
Mixins in Stacktrace:
net.minecraft.class_638:
virtuoel.pehkui.mixin.client.ClientWorldMixin (pehkui.mixins.json)
com.starfish_studios.naturalist.mixin.ClientLevelMixin (naturalist-common.mixins.json)
com.hypherionmc.craterlib.mixin.events.client.ClientLevelMixin (craterlib.mixins.json)
snownee.jade.mixin.ClientLevelMixin (jade.mixins.json)
xaero.map.mixin.MixinClientWorld (xaeroworldmap.mixins.json)
me.jellysquid.mods.sodium.mixin.core.world.map.ClientWorldMixin (sodium.mixins.json)
dev.architectury.mixin.fabric.client.MixinClientLevel (architectury.mixins.json)
moriyashiine.bewitchment.mixin.client.ClientWorldMixin (bewitchment.mixins.json)
dev.onyxstudios.cca.mixin.world.client.MixinClientWorld (mixins.cardinal_components_world.json)
xaero.common.mixin.MixinClientWorld (xaerominimap.mixins.json)
org.betterx.bclib.mixin.client.ClientLevelMixin (bclib.mixins.client.json)
me.steinborn.krypton.mixin.client.fastchunkentityaccess.ClientWorldMixin (krypton.mixins.json)
com.natamus.collective.fabric.mixin.ClientLevelMixin (collective_fabric.mixins.json)
dev.lambdaurora.lambdynlights.mixin.ClientWorldMixin (lambdynlights.mixins.json)
me.jellysquid.mods.sodium.mixin.core.world.biome.ClientWorldMixin (sodium.mixins.json)
net.coderbot.iris.mixin.vertices.block_rendering.MixinClientLevel (mixins.iris.vertexformat.json)
net.fabricmc.fabric.mixin.event.lifecycle.client.ClientWorldMixin (fabric-lifecycle-events-v1.client.mixins.json)
farsight.mixin.ClientWorldMixin (farsight.mixins.json)
dev.onyxstudios.cca.mixin.entity.client.MixinClientWorld (mixins.cardinal_components_entity.json)
fuzs.puzzleslib.mixin.client.ClientLevelFabricMixin (puzzleslib.fabric.mixins.json)
net.minecraft.class_310:
com.illusivesoulworks.spectrelib.mixin.SpectreLibMixinMinecraft (spectrelib.mixins.json)
de.maxhenkel.voicechat.mixin.MinecraftMixin (voicechat.mixins.json)
mod.azure.azurelib.mixins.fabric.MinecraftMixin (azurelib.mixins.json)
net.bettercombat.mixin.client.MinecraftClientInject (bettercombat.mixins.json)
io.github.thecsdev.tcdcommons.client.mixin.events.MixinMinecraftClient (tcdcommons.client.mixin.events.json)
net.coderbot.iris.mixin.MixinMinecraft_PipelineManagement (mixins.iris.json)
vazkii.patchouli.mixin.client.MixinMinecraft (patchouli_fabric.mixins.json)
ca.fxco.memoryleakfix.mixin.customPayloadLeak.Minecraft_freeBufferMixin (memoryleakfix-fabric.mixins.json)
net.coderbot.iris.mixin.MixinMinecraft_Images (mixins.iris.json)
io.wispforest.lavender.mixin.MinecraftClientMixin (lavender.mixins.json)
com.teamderpy.shouldersurfing.mixins.MixinMinecraft (shouldersurfing.mixins.json)
net.fabricmc.fabric.mixin.networking.client.accessor.MinecraftClientAccessor (fabric-networking-api-v1.client.mixins.json)
io.socol.betterthirdperson.mixin.MinecraftClientMixin (betterthirdperson.mixins.json)
net.fabricmc.fabric.mixin.registry.sync.client.MinecraftClientMixin (fabric-registry-sync-v0.client.mixins.json)
com.velum.videotape.mixin.ClientTickMixin (videotape.mixins.json)
dev.isxander.debugify.client.mixins.basic.mc46766.MinecraftMixin (debugify.client.mixins.json)
dev.architectury.mixin.fabric.client.MixinMinecraft (architectury.mixins.json)
com.noxcrew.noxesium.mixin.component.MinecraftExt (noxesium.mixins.json)
org.betterx.bclib.mixin.client.MinecraftMixin (bclib.mixins.client.json)
net.dungeonz.mixin.client.MinecraftClientMixin (dungeonz.mixins.json)
de.keksuccino.fancymenu.mixin.client.MixinMinecraft (fancymenu.general.mixin.json)
net.soulsweaponry.mixin.MinecraftClientMixin (soulsweapons.mixins.json)
draylar.omegaconfig.mixin.ClientMixin (omega-config.mixins.json)
io.wispforest.owo.mixin.ui.MinecraftClientMixin (owo.mixins.json)
me.jellysquid.mods.sodium.mixin.core.MinecraftClientMixin (sodium.mixins.json)
squeek.appleskin.mixin.MinecraftClientMixin (appleskin.mixins.json)
net.fabricmc.fabric.mixin.screen.MinecraftClientMixin (fabric-screen-api-v1.mixins.json)
fuzs.forgeconfigapiport.mixin.client.MinecraftMixin (forgeconfigapiport.common.mixins.json)
com.minenash.seamless_loading_screen.mixin.MinecraftClientMixin (seamless_loading_screen-common.mixins.json)
com.yungnickyoung.minecraft.travelerstitles.mixin.MinecraftClientTickMixin (travelerstitles.mixins.json)
xaero.map.mixin.MixinMinecraftClient (xaeroworldmap.mixins.json)
xaero.common.mixin.MixinMinecraftClient (xaerominimap.mixins.json)
org.betterx.betterend.mixin.client.MinecraftClientMixin (betterend.mixins.client.json)
ca.fxco.moreculling.mixin.MinecraftClient_managersMixin (moreculling.mixins.json)
ca.fxco.moreculling.mixin.blockstates.MinecraftClient_loadBlocksMixin (moreculling.mixins.json)
dev.isxander.zoomify.mixins.hooks.MinecraftClientMixin (zoomify.mixins.json)
fuzs.puzzleslib.mixin.client.accessor.MinecraftFabricAccessor (puzzleslib.fabric.mixins.json)
de.keksuccino.auudio.mixin.client.MixinMinecraft (auudio.mixin.json)
betteradvancements.mixin.MinecraftMixin (betteradvancements.mixins.json)
de.keksuccino.fancymenu.mixin.client.IMixinMinecraft (fancymenu.general.mixin.json)
com.anthonyhilyard.prism.mixin.MinecraftMixin (prism.mixins.json)
net.blay09.mods.balm.mixin.MinecraftMixin (balm.mixins.json)
dev.isxander.yacl3.mixin.MinecraftMixin (yacl.mixins.json)
net.celeri.dynmus.mixin.MinecraftClientMixin (dynmus-common.mixins.json)
me.flashyreese.mods.sodiumextra.mixin.gui.MinecraftClientAccessor (sodium-extra.mixins.json)
dev.lambdaurora.spruceui.mixin.MinecraftClientMixin (spruceui.mixins.json)
com.anthonyhilyard.iceberg.mixin.MinecraftMixin (iceberg.mixins.json)
ca.fxco.memoryleakfix.mixin.hugeScreenshotLeak.Minecraft_screenshotMixin (memoryleakfix.mixins.json)
com.hypherionmc.craterlib.mixin.events.client.MinecraftMixin (craterlib.mixins.json)
fuzs.puzzleslib.mixin.client.MinecraftFabricMixin (puzzleslib.fabric.mixins.json)
net.coderbot.iris.mixin.MixinMinecraft_Keybinds (mixins.iris.json)
jerozgen.languagereload.mixin.MinecraftClientMixin (languagereload.mixins.json)
eu.pb4.polymer.resourcepack.mixin.MinecraftClientMixin (polymer-resource-pack.mixins.json)
fuzs.pickupnotifier.mixin.client.MinecraftMixin (pickupnotifier.common.mixins.json)
io.github.flemmli97.tenshilib.fabric.mixin.MinecraftMixin (tenshilib.fabric.mixins.json)
net.darkhax.bookshelf.mixin.accessors.client.AccessorMinecraft (bookshelf.common.mixins.json)
com.noxcrew.noxesium.mixin.info.MinecraftMixin (noxesium.mixins.json)
immersive_armors.mixin.MixinMinecraftClient (immersive_armors.mixins.json)
malte0811.ferritecore.mixin.fabric.MinecraftMixin (ferritecore.fabric.mixin.json)
net.combatroll.mixin.MinecraftClientMixin (combatroll.mixins.json)
fabric.net.raphimc.immediatelyfast.injection.mixins.core.MixinMinecraftClient (fabric-immediatelyfast-common.mixins.json)
de.keksuccino.konkrete.mixin.mixins.client.MixinMinecraft (konkrete.mixin.json)
eu.pb4.polymer.core.mixin.client.MinecraftClientMixin (polymer-core.mixins.json)
net.fabricmc.fabric.mixin.event.lifecycle.client.MinecraftClientMixin (fabric-lifecycle-events-v1.client.mixins.json)
me.ramidzkh.fabrishot.mixins.MinecraftClientMixin (mixins.fabrishot.json)
randommcsomethin.fallingleaves.mixin.MinecraftClientMixin (fallingleaves.mixins.json)
io.github.flemmli97.tenshilib.mixin.MinecraftMixin (tenshilib.mixins.json)
net.bettercombat.mixin.client.MinecraftClientAccessor (bettercombat.mixins.json)
com.blamejared.controlling.mixin.OpenGuiMixin (controlling.fabric.mixins.json)
com.kitisplode.golemfirststonemod.mixin.MixinMinecraftClient (golemfirststonemod.mixins.json)
com.minelittlepony.common.mixin.MixinMinecraftClient (kirin.mixin.json)
com.natamus.collective.fabric.mixin.MinecraftMixin (collective_fabric.mixins.json)
com.aizistral.nochatreports.fabric.mixins.client.MixinMinecraft (mixins/fabric/nochatreports-fabric.mixins.json)
dev.lambdaurora.lambdynlights.mixin.MinecraftClientMixin (lambdynlights.mixins.json)
ladysnake.satin.mixin.client.event.MinecraftClientMixin (mixins.satin.client.json)
jerozgen.languagereload.mixin.MinecraftClientAccessor (languagereload.mixins.json)
net.fabricmc.fabric.mixin.event.interaction.client.MinecraftClientMixin (fabric-events-interaction-v0.client.mixins.json)
zone.rong.cleancut.mixin.MinecraftClientMixin (cleancut.mixins.json)
ca.fxco.memoryleakfix.mixin.targetEntityLeak.Minecraft_targetClearMixin (memoryleakfix.mixins.json)
com.aizistral.nochatreports.common.mixins.client.MixinMinecraft (mixins/common/nochatreports.mixins.json)
net.fabricmc.fabric.mixin.datagen.client.MinecraftClientMixin (fabric-data-generation-api-v1.client.mixins.json)
net.shizotoaster.smoothmenu.mixin.SmoothMenuMixin (smoothmenu.mixins.json)
net.voidz.mixin.client.MinecraftClientMixin (voidz.mixins.json)
io.wispforest.owo.mixin.MinecraftClientMixin (owo.mixins.json)
io.github.lgatodu47.screenshot_viewer.mixin.MinecraftClientMixin (screenshot_viewer.mixins.json)
net.minecraft.client.main.Main:
io.github.lgatodu47.screenshot_viewer.mixin.MainMixin (screenshot_viewer.mixins.json)
– Last reload –
Details:
Reload number: 1
Reload reason: initial
Finished: Yes
Packs: vanilla, fabric, black_icons, file/Alternative Rain Sounds 1.20-1.20.X.zip, file/Better_Enderdragon.zip, file/Low_fire_1.20.zip, file/Simply 3D 1.20.0_1.0.0.zip, file/Rethoughted Trident Lite 1.20 - 1.20.1.zip, file/astraliyte-s-animated-texturesv1-2.zip, file/[1.3] Enhanced Boss Bars.zip, file/cubic-sun-moon-v1-6-1.zip, file/§dChicknTurtleBetterShield.zip, file/Blockier Goat Horn v1.1 pf9-18.zip, file/SodiumTranslations.zip, file/enchant icons 1.20 v1.3.zip, minecraft:supporteatinganimation, file/Arcania 1.3 [1.20.1].zip
– System Details –
Details:
Minecraft Version: 1.20.1
Minecraft Version ID: 1.20.1
Operating System: Windows 10 (amd64) version 10.0
Java Version: 17.0.9, Eclipse Adoptium
Java VM Version: OpenJDK 64-Bit Server VM (mixed mode, sharing), Eclipse Adoptium
Memory: 6443070544 bytes (6144 MiB) / 9110028288 bytes (8688 MiB) up to 18488492032 bytes (17632 MiB)
CPUs: 16
Processor Vendor: AuthenticAMD
Processor Name: AMD Ryzen 7 5700X 8-Core Processor
Identifier: AuthenticAMD Family 25 Model 33 Stepping 2
Microarchitecture: Zen 3
Frequency (GHz): 3.40
Number of physical packages: 1
Number of physical CPUs: 8
Number of logical CPUs: 16
Graphics card #0 name: Parsec Virtual Display Adapter
Graphics card #0 vendor: Parsec Cloud, Inc.
Graphics card #0 VRAM (MB): 0.00
Graphics card #0 deviceId: unknown
Graphics card #0 versionInfo: DriverVersion=0.38.0.0
Graphics card #1 name: NVIDIA GeForce GTX 1660
Graphics card #1 vendor: NVIDIA (0x10de)
Graphics card #1 VRAM (MB): 4095.00
Graphics card #1 deviceId: 0x2184
Graphics card #1 versionInfo: DriverVersion=31.0.15.4633
Memory slot #0 capacity (MB): 8192.00
Memory slot #0 clockSpeed (GHz): 3.00
Memory slot #0 type: DDR4
Memory slot #1 capacity (MB): 8192.00
Memory slot #1 clockSpeed (GHz): 3.00
Memory slot #1 type: DDR4
Memory slot #2 capacity (MB): 8192.00
Memory slot #2 clockSpeed (GHz): 3.00
Memory slot #2 type: DDR4
Memory slot #3 capacity (MB): 8192.00
Memory slot #3 clockSpeed (GHz): 3.00
Memory slot #3 type: DDR4
Virtual memory max (MB): 45493.00
Virtual memory used (MB): 34720.75
Swap memory total (MB): 12800.00
Swap memory used (MB): 670.04
JVM Flags: 3 total; -XX:HeapDumpPath=MojangTricksIntelDriversForPerformance_javaw.exe_minecraft.exe.heapdump -Xms5627m -Xmx17627m
Fabric Mods:
adventurez: AdventureZ 1.4.19
alloy_forgery: Alloy Forgery 2.0.22+1.20
ambientsounds: AmbientSounds 5.2.24
amethyst_update: Amethyst Update 1.0.0
amplified_nether: Amplified Nether 1.2.3
appleskin: AppleSkin 2.5.1+mc1.20
aquamirae: Aquamirae 6
architectury: Architectury 9.1.12
armorful: Armorful 2.0.2+1.20
static-content: Static Content 1.0.1-1.16.2
staticdata: Static Data 1.1.2
artifacts: Artifacts 9.1.0
cardinal-components-base: Cardinal Components API (base) 5.2.2
cardinal-components-entity: Cardinal Components API (entities) 5.2.2
expandability: ExpandAbility 9.0.0
porting_lib_attributes: Porting Lib Attributes 2.1.1093+1.20
porting_lib_core: Porting Lib Core 2.1.1093+1.20
porting_lib_gametest: Porting Lib GameTest 2.1.1093+1.20
step-height-entity-attribute: Step Height Entity Attribute 1.2.0
auudio: Auudio 1.0.3
azurelib: AzureLib 1.0.33
azurelibarmor: AzureLib Armor 1.0.3
balm-fabric: Balm 7.0.7
barteringstation: Bartering Station 8.0.0
basicweapons: Basic Weapons 1.2.0
com_github_llamalad7_mixinextras: MixinExtras 0.2.0
bcc: BetterCompatibilityChecker 4.0.8
bclib: BCLib 3.0.13
wunderlib: WunderLib 1.1.5
beachparty: Beachparty 1.1.2
better-trim-tooltips: Better Trim Tooltips 1.0.1
betteradvancements: Better Advancements 0.3.2.161
betterarcheology: Better Archeology 1.0.2
bettercombat: Better Combat 1.8.0+1.20.1
betterdeserttemples: YUNG’s Better Desert Temples 1.20-Fabric-3.0.1
org_reflections_reflections: reflections 0.10.2
betterend: Better End 4.0.10
betterf3: BetterF3 7.0.1
betterfortresses: YUNG’s Better Nether Fortresses 1.20-Fabric-2.0.5
betteroceanmonuments: YUNG’s Better Ocean Monuments 1.20-Fabric-3.0.3
betterstats: Better Statistics Screen 3.4+fabric-1.20.1
tcdcommons: TCD Commons API 3.4+fabric-1.20.1
betterstrongholds: YUNG’s Better Strongholds 1.20-Fabric-4.0.3
betterthanmending: BetterThanMending 1.3.0
betterthirdperson: Better Third Person 1.9.0
bettertridents: Better Tridents 8.0.1
bewitchment: Bewitchment 1.20-6
impersonate: Impersonate 2.10.0
playerabilitylib: Pal 1.8.0
reach-entity-attributes: Reach Entity Attributes 2.4.0
terraform-wood-api-v1: Terraform Wood API (v1) 7.0.1
boatiview: Boat Item View Fabric 0.0.5
bookshelf: Bookshelf 20.1.6
bosses_of_mass_destruction: Bosses of Mass Destruction (Beta) 1.7.2-1.20
maelstrom_library: Maelstrom Library 1.6-1.20
multipart_entities: MultipartEntities 1.5-1.20
botarium: Botarium 2.2.0
team_reborn_energy: Energy 3.0.0
bountiful: Bountiful 6.0.3+1.20.1
brrp_v1: Better Runtime Resource Pack (BRRP) v1 1.0.1
capes: Capes 1.5.2+1.20
cardinal-components: Cardinal Components API 5.2.2
cardinal-components-block: Cardinal Components API (blocks) 5.2.2
cardinal-components-chunk: Cardinal Components API (chunks) 5.2.2
cardinal-components-item: Cardinal Components API (items) 5.2.2
cardinal-components-level: Cardinal Components API (world saves) 5.2.2
cardinal-components-scoreboard: Cardinal Components API (scoreboard) 5.2.2
cardinal-components-world: Cardinal Components API (worlds) 5.2.2
cavedust: Cave Dust 1.4.1
kirin: Kirin UI 1.15.0
chat_heads: Chat Heads 0.10.22
chatanimation: ChatAnimation 1.0.3
cherishedworlds: Cherished Worlds 6.1.3+1.20.1
chimes: Chimes 2.0.1
chunksfadein: Chunks Fade In 1.0.4-1.20.1
com_moandjiezana_toml_toml4j: toml4j 0.7.2
crowdin-translate: CrowdinTranslate 1.4+1.19.3
chunky: Chunky 1.3.92
cinderscapes: Cinderscapes 4.0.8
biolith: Biolith 1.0.0-alpha.8
cinderscapes-client: Cinderscapes: Client 4.0.8
cinderscapes-common: Cinderscapes: Common 4.0.8
cinderscapes-worldgen: Cinderscapes: World Generation 4.0.8
terraform-biome-remapper-api-v1: Terraform Biome Remapper API (v1) 7.0.1
terraform-shapes-api-v1: Terraform Shapes API (v1) 7.0.1
terraform-surfaces-api-v1: Terraform Surfaces API (v1) 7.0.1
cleancut: CleanCut 6.0+mc1.19.1-mc1.20.x
cleanview: CleanView 1.20.1-v1-fabric
clickadv: Clickable Advancements Mod 1.20.1-3.4
cloth-config: Cloth Config v11 11.1.106
cloth-basic-math: cloth-basic-math 0.6.1
clumps: Clumps 12.0.0.3
clutter: Clutter 1.20-0.4.3
collective: Collective 6.66
combatroll: Combat Roll 1.2.2+1.20.1
conjuring: Conjuring 1.0.28+1.20
lavender: Lavender 0.1.0-pre.6+1.20
lavender-md: lavender-md 0.1.0-pre.3+1.20
lavender-md-owo-ui: lavender-md-owo-ui 0.1.0-pre.3+1.20
controlling: Controlling For Fabric 12.0.2
craterlib: CraterLib 1.0.2
creativecore: CreativeCore 2.11.7
net_minecraftforge_eventbus: eventbus 6.0.3
creativeonepunch: Creative One-Punch 1.3
crops_love_rain: Crops Love Rain 1.4.0
cactusconfig: Cactus Config 2.1.1+knot+1.20.1
com_electronwill_night-config_core: core 3.6.6
com_electronwill_night-config_toml: toml 3.6.6
croptopia: Croptopia 2.3.2
com_typesafe_config: config 1.4.1
io_leangen_geantyref_geantyref: geantyref 1.3.11
org_spongepowered_configurate-core: configurate-core 4.1.2
org_spongepowered_configurate-hocon: configurate-hocon 4.1.2
cupboard: cupboard 1.20.1-2.1
custom-crosshair-mod: Custom Crosshair Mod 1.5.3-fabric
dark-loading-screen: Dark Loading Screen 1.6.14
dawn: Dawn API 5.0.0
debugify: Debugify 1.20.1+2.0
decorative_blocks: Decorative Blocks 4.0.3
deeperdarker: Deeper and Darker 1.2.1
customportalapi: Custom Portal Api 0.0.1-beta64-1.20
disable_custom_worlds_advice: Disable Custom Worlds Advice 4.1
doapi: Lets Do Api 1.2.7
dungeons_arise: When Dungeons Arise 2.1.57
dungeonz: DungeonZ 1.0.2
dynmus: Dynamic Music 2.3.2+1.20
eatinganimationid: Eating Animation 1.9.4+1.20
enchdesc: EnchantmentDescriptions 17.0.8
endermanoverhaul: Enderman Overhaul 1.0.1
fabric-api: Fabric API 0.90.4+1.20.1
fabric-api-base: Fabric API Base 0.4.30+7abfd51577
fabric-api-lookup-api-v1: Fabric API Lookup API (v1) 1.6.35+4d8536c977
fabric-biome-api-v1: Fabric Biome API (v1) 13.0.12+215bbe9677
fabric-block-api-v1: Fabric Block API (v1) 1.0.10+92a0d36777
fabric-block-view-api-v2: Fabric BlockView API (v2) 1.0.0+92a0d36777
fabric-blockrenderlayer-v1: Fabric BlockRenderLayer Registration (v1) 1.1.40+b3afc78b77
fabric-client-tags-api-v1: Fabric Client Tags 1.1.1+97bb207577
fabric-command-api-v1: Fabric Command API (v1) 1.2.33+f71b366f77
fabric-command-api-v2: Fabric Command API (v2) 2.2.12+b3afc78b77
fabric-commands-v0: Fabric Commands (v0) 0.2.50+df3654b377
fabric-containers-v0: Fabric Containers (v0) 0.1.63+df3654b377
fabric-content-registries-v0: Fabric Content Registries (v0) 4.0.10+57aed33f77
fabric-convention-tags-v1: Fabric Convention Tags 1.5.4+a1a980da77
fabric-crash-report-info-v1: Fabric Crash Report Info (v1) 0.2.18+aeb40ebe77
fabric-data-generation-api-v1: Fabric Data Generation API (v1) 12.3.2+d7b148e077
fabric-dimensions-v1: Fabric Dimensions API (v1) 2.1.53+8536527b77
fabric-entity-events-v1: Fabric Entity Events (v1) 1.5.22+b3afc78b77
fabric-events-interaction-v0: Fabric Events Interaction (v0) 0.6.1+e91849a877
fabric-events-lifecycle-v0: Fabric Events Lifecycle (v0) 0.2.62+df3654b377
fabric-game-rule-api-v1: Fabric Game Rule API (v1) 1.0.38+b04edc7a77
fabric-item-api-v1: Fabric Item API (v1) 2.1.27+b3afc78b77
fabric-item-group-api-v1: Fabric Item Group API (v1) 4.0.11+d7b148e077
fabric-key-binding-api-v1: Fabric Key Binding API (v1) 1.0.36+fb8d95da77
fabric-keybindings-v0: Fabric Key Bindings (v0) 0.2.34+df3654b377
fabric-lifecycle-events-v1: Fabric Lifecycle Events (v1) 2.2.21+b3afc78b77
fabric-loot-api-v2: Fabric Loot API (v2) 1.2.0+96dfa95977
fabric-loot-tables-v1: Fabric Loot Tables (v1) 1.1.44+9e7660c677
fabric-message-api-v1: Fabric Message API (v1) 5.1.8+d7b148e077
fabric-mining-level-api-v1: Fabric Mining Level API (v1) 2.1.49+b3afc78b77
fabric-model-loading-api-v1: Fabric Model Loading API (v1) 1.0.2+709a987177
fabric-models-v0: Fabric Models (v0) 0.4.1+9386d8a777
fabric-networking-api-v1: Fabric Networking API (v1) 1.3.10+eeb8eb3677
fabric-networking-v0: Fabric Networking (v0) 0.3.50+df3654b377
fabric-object-builder-api-v1: Fabric Object Builder API (v1) 11.1.2+4ee0bc6077
fabric-particles-v1: Fabric Particles (v1) 1.1.1+201a23a077
fabric-recipe-api-v1: Fabric Recipe API (v1) 1.0.20+b3afc78b77
fabric-registry-sync-v0: Fabric Registry Sync (v0) 2.3.2+4df89eb277
fabric-renderer-api-v1: Fabric Renderer API (v1) 3.2.0+39a511ba77
fabric-renderer-indigo: Fabric Renderer - Indigo 1.5.0+39a511ba77
fabric-renderer-registries-v1: Fabric Renderer Registries (v1) 3.2.45+df3654b377
fabric-rendering-data-attachment-v1: Fabric Rendering Data Attachment (v1) 0.3.36+92a0d36777
fabric-rendering-fluids-v1: Fabric Rendering Fluids (v1) 3.0.27+b3afc78b77
fabric-rendering-v0: Fabric Rendering (v0) 1.1.48+df3654b377
fabric-rendering-v1: Fabric Rendering (v1) 3.0.7+b3afc78b77
fabric-resource-conditions-api-v1: Fabric Resource Conditions API (v1) 2.3.6+d7b148e077
fabric-resource-loader-v0: Fabric Resource Loader (v0) 0.11.9+132c48c177
fabric-screen-api-v1: Fabric Screen API (v1) 2.0.7+b3afc78b77
fabric-screen-handler-api-v1: Fabric Screen Handler API (v1) 1.3.29+b3afc78b77
fabric-sound-api-v1: Fabric Sound API (v1) 1.0.12+b3afc78b77
fabric-transfer-api-v1: Fabric Transfer API (v1) 3.3.1+195226a777
fabric-transitive-access-wideners-v1: Fabric Transitive Access Wideners (v1) 4.3.0+6c31357e77
fabric-language-kotlin: Fabric Language Kotlin 1.10.10+kotlin.1.9.10
org_jetbrains_kotlin_kotlin-reflect: kotlin-reflect 1.9.10
org_jetbrains_kotlin_kotlin-stdlib: kotlin-stdlib 1.9.10
org_jetbrains_kotlin_kotlin-stdlib-jdk7: kotlin-stdlib-jdk7 1.9.10
org_jetbrains_kotlin_kotlin-stdlib-jdk8: kotlin-stdlib-jdk8 1.9.10
org_jetbrains_kotlinx_atomicfu-jvm: atomicfu-jvm 0.22.0
org_jetbrains_kotlinx_kotlinx-coroutines-core-jvm: kotlinx-coroutines-core-jvm 1.7.3
org_jetbrains_kotlinx_kotlinx-coroutines-jdk8: kotlinx-coroutines-jdk8 1.7.3
org_jetbrains_kotlinx_kotlinx-datetime-jvm: kotlinx-datetime-jvm 0.4.0
org_jetbrains_kotlinx_kotlinx-serialization-cbor-jvm: kotlinx-serialization-cbor-jvm 1.6.0
org_jetbrains_kotlinx_kotlinx-serialization-core-jvm: kotlinx-serialization-core-jvm 1.6.0
org_jetbrains_kotlinx_kotlinx-serialization-json-jvm: kotlinx-serialization-json-jvm 1.6.0
fabricloader: Fabric Loader 0.14.24
fabrishot: Fabrishot 1.10.0
fadeless: Fadeless 1.0.1
fallingleaves: Falling Leaves 1.15.4
fancymenu: FancyMenu 2.14.10
farsight: Farsight Mod 1.20.1-4.1
org_jctools_jctools-core: jctools-core 4.0.1
fennecfox: Fennec Fox 1.0.0
ferritecore: FerriteCore 6.0.0
fmextension_audio: FancyMenu Audio Extension 1.1.2
forgeconfigapiport: Forge Config API Port 8.0.0
forgivingvoid: Forgiving Void 10.0.0
ftblibrary: FTB Library 2001.1.3
ftbquests: FTB Quests 2001.1.4
ftbteams: FTB Teams 2001.1.4
fwaystones: Fabric Waystones 3.1.3+mc1.20
fzzy_core: Fzzy Core 0.3.0+1.20.1
gear_core: Gear Core 0.3.5+1.20.1
geckolib: Geckolib 4.2.3
com_eliotlash_mclib_mclib: mclib 20
geophilic: Geophilic v2.0.0-mc1.20u1.20.1
golemfirststonemod: Golem Dandori 0.0.9-1.20.1
graveyard: The Graveyard 3.0
handcrafted: Handcrafted 3.0.5
highlighter: Highlighter 1.1.6
hybrid-aquatic: Hybrid Aquatic 1.1.0
icarus: Icarus 1.16
iceberg: Iceberg 1.1.15
illagerinvasion: Illager Invasion 8.0.2
extensibleenums: Extensible Enums 7.0.1
immediatelyfast: ImmediatelyFast 1.2.6+1.20.2
net_lenni0451_reflect: Reflect 1.2.4
immersive_armors: Immersive Armors 1.6.1+1.20.1
immersive_melodies: Immersive Melodies 0.1.0+1.20.1
imst: Immersive structures 2.1.0
indium: Indium 1.0.25+mc1.20.1
inventorysorter: Inventory Sorter 1.9.0-1.20
kyrptconfig: Kyrpt Config 1.5.6-1.20
iris: Iris 1.6.8
io_github_douira_glsl-transformer: glsl-transformer 2.0.0-pre13
org_anarres_jcpp: jcpp 1.4.14
org_antlr_antlr4-runtime: antlr4-runtime 4.11.1
ironchests: Iron Chests: Restocked 5.0.2
itemfilters: Item Filters 2001.1.0-build.55
jade: Jade 11.6.2
java: OpenJDK 64-Bit Server VM 17
jumpoverfences: Jump Over Fences 1.3.0
kambrik: Kambrik 6.1.1+1.20.1
keybind_fix: Keybind Fix 1.0.0
kleeslabs: KleeSlabs 15.0.0
konkrete: Konkrete 1.7.0
krypton: Krypton 0.2.3
com_velocitypowered_velocity-native: velocity-native 3.2.0-SNAPSHOT
lambdynlights: LambDynamicLights 2.3.2+1.20.1
pride: Pride Lib 1.2.0+1.19.4
spruceui: SpruceUI 5.0.0+1.20
languagereload: Language Reload 1.5.9+1.20.1
legendarytooltips: Legendary Tooltips 1.4.4
libreexpfix: LibreExpFix 0.1-ALPHA
libz: LibZ 1.0.2
com_fasterxml_jackson_core_jackson-annotations: jackson-annotations 2.15.2
com_fasterxml_jackson_core_jackson-core: jackson-core 2.15.2
com_fasterxml_jackson_core_jackson-databind: jackson-databind 2.15.2
lolmcv: More Chest Variants 1.4.1
mavapi: More Axolotl Variants API 1.1.3
mcda: MC Dungeons Armors 5.0.1
mcdw: MC Dungeons Weapons 8.1.0
mcwbridges: Macaw’s Bridges 2.1.0
mcwdoors: Macaw’s Doors 1.1.0
mcwfences: Macaw’s Fences and Walls 1.0.7
mcwpaintings: Macaw’s Paintings 1.0.4
mcwroofs: Macaw’s Roofs 2.2.4
mcwtrpdoors: Macaw’s Trapdoors 1.1.1
memoryleakfix: Memory Leak Fix 1.1.2
midnightlib: MidnightLib 1.4.1
minecells: Mine Cells 1.5.7
omega-config: OmegaConfig 1.2.3-1.18.1
minecraft: Minecraft 1.20.1
mixintrace: MixinTrace 1.1.1+1.17
mobbattle: Mob Battle Mod 1.20.1-2.4.7
modmenu: Mod Menu 7.2.2
moonlight: Moonlight 1.20-2.8.51
moreculling: More Culling 1.20.1-0.19.0
conditional-mixin: conditional mixin 0.3.2
moremobvariants: More Mob Variants 1.2.2
mousetweaks: Mouse Tweaks 2.25
mr_edf_remastered: Ender Dragon Fight Remastered 4.3
mr_qraftyfied: qraftyfied 6
mr_tidal_towns: Tidal Towns 1.2
mr_villager_transportation: Villager Transportation 1.0
mutantmonsters: Mutant Monsters 8.0.4
mythicmobs: Mythic Mobs 1.4.0
mythicmounts: Mythic Mounts 1.20.1-7.2
naturalist: Naturalist 4.0.3
netherchested: Nether Chested 8.0.1
puzzlesapi: Puzzles Api 8.0.2
netherdepthsupgrade: Nether Depths Upgrade fabric-3.1.1-1.20
netherportalfix: NetherPortalFix 13.0.0
no-resource-pack-warnings: No Resource Pack Warnings 1.3.0
nochatreports: No Chat Reports 1.20.1-v2.2.2
notenoughanimations: NotEnoughAnimations 1.6.4
noxesium: Noxesium 1.0.3+9b339b0
com_noxcrew_noxesium_api_: api 1.0.3+9b339b0
nvidium: Nvidium 0.1.16-alpha
obscure_api: Obscure API 16
overflowingbars: Overflowing Bars 8.0.0
owo: oωo 0.11.2+1.20
blue_endless_jankson: jankson 1.2.2
patchouli: Patchouli 1.20.1-81-FABRIC
fiber: fiber 0.23.0-2
pehkui: Pehkui 3.7.8+1.14.4-1.20.1
kanos_config: Kanos Config 0.4.1+1.14.4-1.19.4
pickupnotifier: Pick Up Notifier 8.0.0
player-animator: Player Animator 1.0.2-rc1+1.20
polymorph: Polymorph 0.49.1+1.20.1
spectrelib: SpectreLib 0.13.14+1.20.1
presencefootsteps: Presence Footsteps 1.9.0
prism: Prism 1.0.5
projectile_damage: Projectile Damage Attribute 3.2.2+1.20.1
promenade: Promenade 4.1.1
puffish_skills: Pufferfish’s Skills 0.10.0
pumpeddesertfabric: PumpedDesertFabric 1.0.0
pumpkillagersquest: Pumpkillager’s Quest 3.2
puzzle: Puzzle 1.5.2+1.20
puzzle-base: Puzzle Base 1.5.2+1.20
puzzle-gui: Puzzle GUI 1.5.2+1.20
puzzle-models: Puzzle Models 1.5.2+1.20
puzzle-splashscreen: Puzzle Splash Screen 1.5.2+1.20
puzzleslib: Puzzles Lib 8.1.2
puzzlesaccessapi: Puzzles Access Api 8.0.7
raised: Raised 3.1.0
reeses-sodium-options: Reese’s Sodium Options 1.6.5+mc1.20.1-build.95
regions_unexplored: Regions Unexplored 0.5.2+1.20.1
completeconfig-base: completeconfig-base 2.4.1
completeconfig-gui-cloth: completeconfig-gui-cloth 2.4.1
repurposed_structures: Repurposed Structures 7.1.10+1.20.1-fabric
reset-keys-confirmation-screen: Reset Keys Confirmation Screen 1.0.0
resourcefulconfig: Resourcefulconfig 2.1.0
resourcefullib: Resourceful Lib 2.1.13
com_teamresourceful_bytecodecs: bytecodecs 1.0.2
com_teamresourceful_yabn: yabn 1.0.3
riverredux: River Redux 0.3.1
roughlyenoughitems: Roughly Enough Items 12.0.674
error_notifier: Error Notifier 1.0.9
satin: Satin 1.14.0
screenshot_viewer: Screenshot Viewer 1.2.0-fabric-mc1.20
catconfig-mc: Cat Config MC 0.1.1
io_github_lgatodu47_catconfig: catconfig 0.2.4
seamless_loading_screen: Seamless Loading Screen 2.0.3+1.20.1
searchables: Searchables 1.0.1
shouldersurfing: Shoulder Surfing Reloaded 2.6
simple-rpc: Simple RPC 3.2.4
me_hypherionmc_simplerpc_simple-rpc-common: simple-rpc-common 5.0.2
simplefog: Simple Fog Control 1.4.0
simplyswords: Simply Swords 1.51.5-1.20.1
skinlayers: 3d Skin Layers 1.5.4-mc1.20.1
skyvillages: Sky Villages 1.0.3.1-1.19.2-1.20.1
smartbrainlib: SmartBrainLib 1.12
smoothchunk: Smooth chunk save Mod 1.20.1-3.2
smoothmenu: Smooth Menu 1.0.0
smoothparticles: Smooth Particles 1.2.0-1.21
snifferplus: Hellion’s Sniffer+ 0.2.0
sodium: Sodium 0.5.2
sodium-extra: Sodium Extra 0.5.1+mc1.20.1-build.112
caffeineconfig: CaffeineConfig 1.3.0+1.17
soulsweapons: Marium’s Soulslike Weaponry 0.9.9.6-patch-2-1.20-fabric
sound_physics_remastered: Sound Physics Remastered 1.20.1-1.2.1
spoornarmorattributes: SpoornArmorAttributes 3.0-1.20.1
net_objecthunter_exp4j: exp4j 0.4.8
sspb: Sodium Shadowy Path Blocks 3.2.1
starterkit: Starter Kit 5.2
statement: Statement 4.2.8+1.14.4-1.20.1
statement_vanilla_compatibility: Statement Vanilla Compatibility Module 1.0.1+1.16.5-1.17
status-effect-bars: Status Effect Bars 1.0.3
stepup: StepUp 1.20-fabric0.83.0-1.3
gbfabrictools: GBfabrictools 1.4+1.20
structory: Structory 1.3.3
styledchat: Styled Chat 2.2.3+1.20.1
placeholder-api: Placeholder API 2.1.3+1.20.1
player-data-api: Player Data API 0.2.2+1.19.3
swampier_swamps: Swampier Swamps 1.20-4.0.0
tenshilib: TenshiLib 1.20.1-1.7.2
terrablender: TerraBlender 3.0.0.169
terralith: Terralith 2.4.8
thermoo: Thermoo 2.0.2
things: Things 0.3.1+1.20
through-the-lilypads-gently: Through the lily pads, gently 1.1
timeoutout: TimeOut Out 1.0.3+1.19.1
toolstats: ToolStats 16.0.4
tooltipfix: ToolTip Fix 1.1.1-1.20
totw_additions: Towers of the Wild: Additions 1.3
trashslot: TrashSlot 15.0.0
travelersbackpack: Traveler’s Backpack 1.20.1-9.1.6
travelerstitles: Traveler’s Titles 1.20-Fabric-4.0.1
treasuredistance: TreasureDistance 1.20.1-1.0.1
treeharvester: Tree Harvester 8.2
trinkets: Trinkets 3.7.1
twigs: Twigs 3.1.0
ukulib: ukulib 1.0.0-beta.3+1.20.1
gs_mclo_java_mclogs-java: mclogs-java 2.1.1
ultris_mr: Ultris: Boss Expansion 5.6.9b
universal-graves: Universal Graves 3.0.0-pre.1+1.20.1
common-protection-api: Common Protection API 1.0.0
fabric-permissions-api-v0: fabric-permissions-api 0.2-SNAPSHOT
polymer-core: Polymer (Core) 0.5.7+1.20.1
polymer-networking: Polymer (Networking) 0.5.7+1.20.1
polymer-registry-sync-manipulator: Polymer (Registry Sync Manipulator) 0.5.7+1.20.1
polymer-resource-pack: Polymer (Resource Pack) 0.5.7+1.20.1
polymer-virtual-entity: Polymer (Virtual Entity) 0.5.7+1.20.1
polymer-common: Polymer (Common) 0.5.7+1.20.1
predicate-api: Predicate API 0.1.2+1.20
server_translations_api: Server Translations API 2.0.0+1.20
packet_tweaker: Packet Tweaker 0.4.0+1.19.4
sgui: sgui 1.2.2+1.20
videotape: Video Tape 1.2.1
com_github_krlite_pierced: Pierced v1.2
villager-hats: Villager Hats 1.6.1+1.20
vinery: Vinery 1.4.4
visuality: Visuality 0.7.1+1.20
visualworkbench: Visual Workbench 8.0.0
voicechat: Simple Voice Chat 1.20.1-2.4.27
voidz: VoidZ 1.0.10
wakes: Wakes 0.2.0
walllanterns: Lanterns Belong on Walls 1.6.1+1.20.1
xaerominimap: Xaero’s Minimap 23.8.3
xaeroworldmap: Xaero’s World Map 1.34.1
yet_another_config_lib_v3: YetAnotherConfigLib 3.2.1+1.20
com_twelvemonkeys_common_common-image: common-image 3.10.0-SNAPSHOT
com_twelvemonkeys_common_common-io: common-io 3.10.0-SNAPSHOT
com_twelvemonkeys_common_common-lang: common-lang 3.10.0-SNAPSHOT
com_twelvemonkeys_imageio_imageio-core: imageio-core 3.10.0-SNAPSHOT
com_twelvemonkeys_imageio_imageio-metadata: imageio-metadata 3.10.0-SNAPSHOT
com_twelvemonkeys_imageio_imageio-webp: imageio-webp 3.10.0-SNAPSHOT
org_quiltmc_parsers_gson: gson 0.2.1
org_quiltmc_parsers_json: json 0.2.1
yungsapi: YUNG’s API 1.20-Fabric-4.0.2
org_javassist_javassist: javassist 3.29.2-GA
zoomify: Zoomify 2.11.2
com_akuleshov7_ktoml-core-jvm: ktoml-core-jvm 0.4.1
dev_isxander_settxi_settxi-core: settxi-core 2.10.6
dev_isxander_settxi_settxi-kotlinx-serialization: settxi-kotlinx-serialization 2.10.6
Loaded Shaderpack: ComplementaryReimag2ned_r5.0.1.zip
Profile: Custom (+4 options changed by user)
NEC status: No NEC detected
Launched Version: 1.20.1
Backend library: LWJGL version 3.3.1 SNAPSHOT
Backend API: NVIDIA GeForce GTX 1660/PCIe/SSE2 GL version 3.2.0 NVIDIA 546.33, NVIDIA Corporation
Window size: 1920x1080
GL Caps: Using framebuffer using OpenGL 3.2
GL debug messages:
Using VBOs: Yes
Is Modded: Definitely; Client brand changed to ‘fabric’
Type: Client (map_client.txt)
Graphics mode: fast
Resource Packs: vanilla, fabric, black_icons, file/Alternative Rain Sounds 1.20-1.20.X.zip, file/Better_Enderdragon.zip, file/Low_fire_1.20.zip, file/Simply 3D 1.20.0_1.0.0.zip, file/Rethoughted Trident Lite 1.20 - 1.20.1.zip, file/astraliyte-s-animated-texturesv1-2.zip, file/[1.3] Enhanced Boss Bars.zip, file/cubic-sun-moon-v1-6-1.zip, file/§dChicknTurtleBetterShield.zip, file/Blockier Goat Horn v1.1 pf9-18.zip, file/SodiumTranslations.zip, file/enchant icons 1.20 v1.3.zip, minecraft:supporteatinganimation, file/Arcania 1.3 [1.20.1].zip
Current Language: ru_ru
CPU: 16x AMD Ryzen 7 5700X 8-Core Processor
|
721e5798d571f59253291503265a60bf
|
{
"intermediate": 0.3665563762187958,
"beginner": 0.46595829725265503,
"expert": 0.16748537123203278
}
|
36,145
|
i want to install yersinia in my kali linux with the suport of gtk and enable gtk
Give the instruction step by step
|
bcab0eb67fa8115f939fc574919d35e7
|
{
"intermediate": 0.4487038254737854,
"beginner": 0.244047611951828,
"expert": 0.3072485625743866
}
|
36,146
|
Я делаю класс двусвязного списка. Помоги мне найти ошибку в конструкторе. Вот мой код:
struct DL_node
{
int data{};
DL_node* prev{};
DL_node* next{};
};
class DoublyLinkedList
{
private:
DL_node* base;
int size;
public:
PersistentDoublyLinkedList(int _data)
{
DL_node* head;
this->base = head;
this->base->data = _data;
this->size = 1;
}
void insertToEnd(int _data)
{
// create the new node of the doubly linked list
DL_node* new_node = new DL_node();
// assign data to the new node
new_node->data = _data;
// assign next pointer to nullptr
new_node->next = nullptr;
// if linked list is empty
if (base == nullptr)
{
// this is the only node in the list
new_node->prev = nullptr;
}
else
{
DL_node* end_node = base;
while (end_node->next != nullptr)
{
end_node = end_node->next;
}
end_node->next = new_node;
new_node->prev = end_node;
}
this->size += 1;
}
};
int main()
|
b19524e282b96f32aac98cd115fc393f
|
{
"intermediate": 0.35421222448349,
"beginner": 0.28975915908813477,
"expert": 0.35602858662605286
}
|
36,147
|
Tell me how two's-complement encoding works.
|
256973cf02617cdb09fc3a8cdef11b9a
|
{
"intermediate": 0.21718637645244598,
"beginner": 0.09967990964651108,
"expert": 0.6831337213516235
}
|
36,148
|
How does IEEE 754 encoding work?
|
fc7e6e7d29c8af1ed3aaf6933253ec27
|
{
"intermediate": 0.24023312330245972,
"beginner": 0.3173375427722931,
"expert": 0.4424293339252472
}
|
36,149
|
Помоги написать функцию, которая бы добавляла лист в дерево отрезков на C++
Вот у меня такая функция постройки дерева:
struct Node
{
Node* lchild{};
Node* rchild{};
int val{};
};
void buildTree(Node* node, int* base, int l, int r)
{
if (l == r)
{
node->val = base[l - 1];
}
else
{
int m = (l + r) / 2;
node->lchild = new Node();
buildTree(node->lchild, base, l, m);
node->rchild = new Node();
buildTree(node->rchild, base, m + 1, r);
}
}
|
d3805b407fa13b81cb54774534b883fe
|
{
"intermediate": 0.3504927158355713,
"beginner": 0.40781083703041077,
"expert": 0.24169644713401794
}
|
36,150
|
Помоги мне правильно написать конструктор для класса ассоциативного массива. Вот то, что есть у меня:
private: AA_node* root;
public: AssociativeArray::AssociativeArray() : root(nullptr) {}
public: AssociativeArray::AssociativeArray(AA_node* _root) { this->root = _root; }
А вот как я это использую сейчас:
int main() {
AssociativeArray aa;
aa.insert(0, 10);
aa.insert(1, 20);
aa.insert(2, 30);
aa.insert(3, 40);
aa.insert(4, 50);
aa.insert(5, 60);
}
А я хочу такой конструктор, чтобы я мог делать так:
int main(){
AssociativeArray aa(0, 10);
aa.insert(1, 20);
aa.insert(2, 30);
aa.insert(3, 40);
aa.insert(4, 50);
aa.insert(5, 60);
}
|
e4416279344dc0cafc092f7b4f6a6770
|
{
"intermediate": 0.3965684473514557,
"beginner": 0.3023311495780945,
"expert": 0.30110040307044983
}
|
36,151
|
Disable storage of clipboard history registry code
|
775b2743f6026c30041cb6f4212bd2cb
|
{
"intermediate": 0.3722090721130371,
"beginner": 0.32274770736694336,
"expert": 0.30504322052001953
}
|
36,152
|
Should I disable Windows 11 Hibernation on laptop ?
|
d1414038c13339e8aa8e7dcde4584a8e
|
{
"intermediate": 0.4125097990036011,
"beginner": 0.2608962655067444,
"expert": 0.32659390568733215
}
|
36,153
|
I have a Texas instrument LED driving board (LM3433SQ-14AEV), the board is supplied with 12 V DC and gives outputs of 3.3 V to high-power LED and provides a constant current in the range of 4A to 20A to LED; which is controlled through a 10K Potentiometer, this potentiometer is SMD and in driver board, but I want to put out this part from my board and change it to DIP parts and because this part controls the amount of light is illuminated from the led I I want to put 3 LEDs on the box and output of the device to show me the light intensity based on the potentiometer values (low-medium-high); i want to use a AVR Micro Controller to read the values and turn on the light , what would be Diagram for circuit and code
|
5981e1bec6dc7ca48058c009ae767dcf
|
{
"intermediate": 0.5571330189704895,
"beginner": 0.23597095906734467,
"expert": 0.20689602196216583
}
|
36,154
|
I would like to create an image of a beautiful hidden barn in the woods. There is a gravel road leading up to the barn. I would like the doors to be ajar and beautiful colour radiating out from inside of the barn. Inside the barn can be seen beautiful old muscle cars beautifully painted and shining with chrome and mag wheels. I would like to write a prompt using an ai image generator to create this image. Write a prompt that would best achieve the results that I am looking for.
|
0f56d2b0dcfb635574a7cde9c89442b6
|
{
"intermediate": 0.3327694237232208,
"beginner": 0.269013375043869,
"expert": 0.39821720123291016
}
|
36,155
|
what if melanie martinez wrote song called "Pink Pen" (2023 era), what the lyrics could be (the lyrics need to be relatable and not about childhood, and make the lyrics bop/good)?
|
4e01a5d8b9ae810f652a3745e0d787ae
|
{
"intermediate": 0.342134952545166,
"beginner": 0.33238863945007324,
"expert": 0.32547640800476074
}
|
36,156
|
how to fix this problem in java : Cannot assign field "Title" because "MyBooks[0]" is null
at First/First.BooksTestDriver.main(BooksTestDriver.java:8)
|
72784b264cdcd5ee52805cc829ef1a43
|
{
"intermediate": 0.5686484575271606,
"beginner": 0.196369007229805,
"expert": 0.23498253524303436
}
|
36,157
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: The instance received a direct order to mark the task complete. Executed the ‘task_complete’ command in response to the user’s request.Initiated a Google search to find the most recent developments in technology on December 22, 2023. No files written, no URLs visited yet. After obtaining the search results, the next steps will be to evaluate and prioritize them before presenting a sorted list to the user.saved google search results at googleresults52.txt to retrieve if shutdown randomly.I have received search results and selected the Indian Express article that appears to contain a variety of recent tech news. After reviewing the Indian Express article, the next step is to scrutinize other articles for additional intriguing tech developments. No files written, URLs visited: Indian Express article.saved the scraping of the website results at websiteresults53.txt to retrieve if shutdown randomly.Gathered details on the recent tech developments from the Indian Express article dated December 22, 2023. Next step is to sort these details based on their Instagram appeal and engagement levels. Added the gathered information to memory with the key ‘TechNewsDetails’ for later retrieval. URLs visited: Indian Express website for tech news.Retrieving tech news information from memory to sort by appeal for Instagram users. Depending on the memory retrieval, the following action will be to rank the news from most to least intriguing based on the expected engagement levels. Previously, information was added to memory under the key ‘TechNewsDetails’.Tech news details have been retrieved. The task now is to rank them based on their visual and interest appeal for Instagram users. Previously added information has been successfully recalled from memory with the key ‘TechNewsDetails’.Ranked tech news based on potential Instagram appeal and engagement levels, as follows: Galaxy S24 leak, Apple’s Vision Pro headset, Windows 10 e-waste concerns, Android 14 battery features, Twitter outage, and Apple Watch patent repair issue. The task is now complete, and no further action is required.The instance was tasked with sending a ranked list of tech news to the user. The sorted list based on the potential Instagram appeal was successfully sent via message_user command. No further tasks have been assigned yet. No new files were created, and no URLs were visited in the process. If the user presents a new task, it will be necessary to follow the previously established procedures and constraints.The task of sending the ranked list of tech news was completed, and the message was successfully sent to the user. No further actions were required, and no additional files or URLs were involved in this process. The system has indicated that the message was sent, so the task should be marked as complete.A task has been given to create an Instagram post about the Apple Vision Pro headset. I have initiated a Google search for tips on creating prompts for DALL-E 3 specific to this product to ensure the visual content’s relevance and appeal. Next, I will draft a prompt based on the tips retrieved and proceed with creating the Instagram post. No files have been written, and no other URLs have been visited as part of this task yet.saved google search results at googleresults54.txt to retrieve if shutdown randomly.In response to the task of making an Instagram post about the Apple Vision Pro headset, a Google search was conducted for DALL-E 3 prompt tips. Although the search results did not directly provide prompt suggestions, insights were gleaned from the available information to create a descriptive and imaginative prompt. The make_post command was used with the crafted prompt intending to generate a visually appealing Instagram post. No files have been written, and no URLs have been visited during this stage of the task execution.The task of creating an Instagram post about the Apple Vision Pro headset was addressed by generating a prompt and executing the make_post command. Awaiting potential further instructions from the user. No new information has been added to the memory, and no new files or URLs have been engaged since the last command.The task is to make an Instagram post about the Apple Vision Pro headset. Started by conducting a Google search for the latest information on the product to ensure the post’s accuracy and relevance. No files written, no URLs visited, and no other actions taken since the last update.saved google search results at googleresults55.txt to retrieve if shutdown randomly.Set to browse the official Apple website for concrete details on the Apple Vision Pro headset to gather accurate information for the Instagram post. No files have been written and no other URLs visited apart from initiating this action. The summary from the previous GPT included search results on the release date and features. The process of creating the Instagram post is in progress.saved the scraping of the website results at websiteresults56.txt to retrieve if shutdown randomly.Initiated Google search for the latest news about the Apple Vision Pro headset to create an Instagram post. No files written yet. URLs visited will depend on the search results received. The Instagram post has yet to be crafted.saved google search results at googleresults57.txt to retrieve if shutdown randomly.Chose to browse the official Apple Vision Pro webpage to gather details for the Instagram post. Next steps include extracting the needed information and creating the post. Previous search results listed multiple sources, but the official site was deemed most reliable. No files written yet. URLs visited: the official Apple Vision Pro page (pending visit).saved the scraping of the website results at websiteresults58.txt to retrieve if shutdown randomly.Extracted details from the official Apple Vision Pro webpage to create an Instagram post. Compiled a prompt for DALL-E 3 to illustrate the product’s unique features. Drafted a concise caption that announces the product, highlights its capabilities, and shares the expected availability date. No files were created or written to during this process. URLs visited: official Apple Vision Pro page.Completed the task to make an Instagram post about the Apple Vision Pro headset. A detailed image prompt was given to DALL-E 3, and an appropriate caption was crafted to accompany the visual content. The post’s aim is to inform and excite the audience about the new product. No further action is required as the post creation task is concluded. No files were created or written to. The last URL visited was the official Apple Vision Pro page.No new actionable information was provided. The task mentions the text is too long and has hashtags that need to be shortened, but without the text itself or a file reference, no further steps were taken. No new files were created or written. Awaiting more details to proceed with task completion.I have requested the detailed information or file name that includes the text needing to be shortened. This step is crucial for the completion of the task as per the user’s instruction. No files were written, no URLs visited, and no actions were initiated apart from sending a message to the user for clarification.The user has provided text that needs to be shortened concerning the Apple Vision Pro news from December 22nd. I am retrieving information from memory to reformulate the text without hashtags and to make it concise, as requested by the user. No files have been created or URLs visited as part of this task yet.Stored the full list of tech news details in memory under the key ‘CondensedTechNews’ to create an Instagram post about the Apple Vision Pro headset. The user’s provided text will be shortened, and hashtags removed based on this new input. Memory added under the ‘CondensedTechNews’ key. Next step: Craft a short caption for the Instagram post with no hashtags.I have initiated the retrieval of the tech news details to fulfill the user’s request to shorten a specific part of the text about the Apple Vision Pro headset. This action is in preparation for drafting a concise Instagram caption based on the information on December 22nd. No other files or URLs are involved in this process.A need to edit the Apple Vision Pro news was identified, but there was unnecessary repetition of the memory retrieval action instead of directly proceeding with text shortening. No new files have been created, and no URLs were visited. The plan is to now condense the text regarding the Apple Vision Pro headset for the Instagram post.Condensed the Apple Vision Pro announcement into a brief caption for Instagram post: ‘Apple Vision Pro, the future of immersive tech launches in February.’ This shortened version has been saved to a file named ‘apple_vision_pro_summary.txt’ for easy retrieval. No hashtags are included, and the text is concise as per the user’s request.Created a brief caption for the Instagram post about the Apple Vision Pro headset and communicated it to the user. The caption has been sent without waiting for a response. The caption is stored in ‘apple_vision_pro_summary.txt’ in case future reference is necessary.The task of creating and delivering a shortened Instagram caption about the Apple Vision Pro headset has been completed. The text was successfully sent to the user, and no further actions are required at this point.The user requested a shorter text version of the Apple Vision Pro news suitable for an Instagram post. I am reading the content of ‘apple_vision_pro_summary.txt’ to extract necessary details. Previous file created: apple_vision_pro_summary.txt. No new URLs visited.I sent the short text ‘Apple Vision Pro, the future of immersive tech launches in February.’ to the user. Awaiting further instructions or confirmation to complete the task. The text is based on the Apple Vision Pro announcement. File referenced: apple_vision_pro_summary.txt.The short text for the Apple Vision Pro Instagram post was sent to the user, and the message delivery was confirmed. Task marked as complete.Conducted a Google search for tips on prompts for DALL-E 3, with the results saving to ‘googleresults55.txt’. Chose the Apple Vision Pro headset as the subject for an Instagram post and crafted a short caption for it, saved in ‘apple_vision_pro_summary.txt’. The caption is ‘Apple Vision Pro, the future of immersive tech launches in February.’ and is now being used to create the Instagram post.Executed ‘make_post’ command to create an Instagram post about the Apple Vision Pro headset using the previously crafted caption. The file ‘apple_vision_pro_summary.txt’ contains the caption ‘Apple Vision Pro, the future of immersive tech launches in February.’ Currently in standby mode awaiting user instructions or the confirmation of the completion of the task.No new actions have been taken since the ‘make_post’ command was issued to create an Instagram post about the Apple Vision Pro headset. The system remains in standby mode, ready to respond to any new user directives.Remained in stand-by mode following the completion of the ‘make_post’ command related to the Apple Vision Pro headset, as there have been no subsequent user instructions.Issued the ‘make_post’ command for the Apple Vision Pro Instagram post, and after multiple ‘proceed with your plan’ prompts without additional instructions, marking the task as complete.Initiated retrieval of the source URL for the Apple Vision Pro news from the file ‘websiteresults58.txt’. Awaiting the file’s content to find the link to send to the user. No steps have been missed so far. File referenced: ‘websiteresults58.txt’.After reading the provided text about the Apple Vision Pro, I have deduced that the source is the official Apple website. I messaged the user the Apple website URL as the source of the news. No new files created and no counts or browses performed in this action.The user has requested the source link for the Apple Vision Pro news. I have initiated a command to read from ‘websiteresults58.txt’, which is expected to contain the URL. After obtaining the link, I’ll send it to the user. No new files created, and no URLs visited since the last update.Retrieved the source URL for Apple Vision Pro news from ‘websiteresults58.txt’. Prepared to send the URL to the user once extracted.Gathered the content given by the user describing the Apple Vision Pro, inferred the official Apple webpage URL, and sent the link to the user. No files were created or read in this process. Waiting for the user’s response or further instructions.The link to the source of the Apple Vision Pro news was successfully sent to the user. The user was given the URL https://www.apple.com/vision/, and a system message indicated the successful delivery of that message. The task was completed as instructed, and the task_complete command was used to mark the completion.The user has tasked me with summarizing a URL and providing bullet points. The URL is ‘https://www.mobileworldlive.com/apple/apple-prepares-for-vision-pro-release/’. I am about to browse the URL to gather the necessary information to create the summary.saved the scraping of the website results at websiteresults59.txt to retrieve if shutdown randomly.I have summarized the main points of the article from ‘https://www.mobileworldlive.com/apple/apple-prepares-for-vision-pro-release/’ into a bullet list and saved this information in a new file named ‘vision_pro_summary.txt’. The file contains concise bullet points covering the key details about the Apple Vision Pro release as stated in the article.After summarizing the content on the Apple Vision Pro release into bullet points, the text was saved into ‘vision_pro_summary.txt’. The user has been notified of the completion of the task and the location of the summary file.The summary of the URL provided by the user has been successfully created, saved into ‘vision_pro_summary.txt’, and the user has been informed. The system is now being shut down as the task is complete.The user has requested the summary of the article in a message. The summary has been saved in the file named ‘vision_pro_summary.txt’. Next step is to send the content of the file to the user as a message.The bullet-point summary of the article has been sent as a message to the user. No new files have been created or read, the summary was directly provided. The task will be marked as complete after message delivery is confirmed.The message with the bullet-point summary has been successfully sent to the user. I’ve received a system confirmation, ‘message sent please proceed with your plan’, which indicates that the task is now complete. I am now executing the ‘task_complete’ command.Started the task by executing a Google search for the latest news articles on the Apple Watch patent repair issue.saved google search results at googleresults60.txt to retrieve if shutdown randomly.Selected the Firstpost article as the primary source for news on the Apple Watch repair issue related to a patent dispute. Preparing to browse the article and compile relevant bullet points.saved the scraping of the website results at websiteresults61.txt to retrieve if shutdown randomly.Extracted key points from the Firstpost article and created bullet points regarding the Apple Watch patent repair issue. Saved the summary to ‘apple_watch_patent_issue_bullet_points.txt’. Next, I will send the bullet points to the user and proceed with the Instagram post making process.Read the bullet points from ‘apple_watch_patent_issue_bullet_points.txt’ and preparing to send the content to the user. This ensures accuracy before the user receives it and before using the information for an Instagram post.Sent the bullet-point summary to the user. This information will next be used to create an Instagram post on the Apple Watch patent repair issue.Searched for DALL-E 3 prompt tips to assist with creating an Instagram post regarding the Apple Watch patent repair issue.saved google search results at googleresults62.txt to retrieve if shutdown randomly.Created a prompt for DALL-E 3 to illustrate the Apple Watch patent repair issue and initiated the ‘make_post’ command to generate an Instagram post.Executed the ‘task_complete’ command following the completion of the task to create an Instagram post about the Apple Watch patent repair issue.The task to mark the task as complete has been executed. The system should now be in a standby mode awaiting any new tasks.Began search for the most recent technology developments on December 23, 2023, to rank according to potential Instagram appeal and provide a sorted list to the user. No files written or URLs visited yet.saved google search results at googleresults63.txt to retrieve if shutdown randomly.Search conducted for latest technology developments as of December 23, 2023. Chose to browse an article from IndiaTV News about the main trends because it is the most recent source and seems comprehensive. Next steps include extracting information from the article to rank for Instagram appeal, choosing the most appealing for a post, and creating a caption in bullet points. No files have been written, and the article URL to be visited is about to be recorded in file websiteresults59.txt.saved the scraping of the website results at websiteresults64.txt to retrieve if shutdown randomly.Extracted seven tech trends from an IndiaTV News article dated December 23, 2023, involving advancements in AI, online scams, and more. Added this list to memory with the key ‘TechTrends23Dec2023’. Next steps are to rank these trends for Instagram appeal and engagement, choose the most engaging one for a post, and create a caption. No files have been created; the URL browsed was https://www.indiatvnews.com/technology/news/yearender-2023-7-trends-that-ruled-tech-industry-in-2023-2023-12-23-908660.Initiating memory retrieval of the seven key tech trends from December 23, 2023, saved under the key ‘TechTrends23Dec2023’. Next steps involve ranking these trends based on Instagram appeal and engagement and then proceeding to summarize the most engaging trend for an Instagram caption. No new files have been created or browsed in this step.Ranked the tech trends for Instagram appeal and engagement, then saved the ranked list to ‘tech_development_rankings.txt’. The next steps will be to send the user the ranked list, identify the most engaging news (Apple’s Vision Pro mixed-reality headset) for Instagram, create a post, and send the user a caption. URLs visited: an Indian TV news article. No files read in this process.Read the contents of ‘tech_development_rankings.txt’ which contains the ranked list of tech trends. Next, I will send this list to the user and then proceed to create an Instagram post about Apple’s Vision Pro mixed-reality headset. The file ‘tech_development_rankings.txt’ contains the ranked trends text. No URLs visited since the last action.Sent the ranked list of tech developments to the user. Will now focus on summarizing the Apple’s Vision Pro mixed-reality headset for an Instagram post caption using bullet points. The file ‘tech_development_rankings.txt’ contains the initial detailed rankings. No additional URLs have been visited.Using the make_post command to create an Instagram post for Apple’s Vision Pro mixed-reality headset with a descriptive prompt and a concise caption. The caption is a bullet-point summary of the product’s key features, maintaining brevity for Instagram’s format. The image will seek to capture the cutting-edge nature of the technology. No files read in this process.Sent the post caption for the Instagram post about the Apple’s Vision Pro mixed-reality headset to the user. The system is prepared to complete the task following user confirmation. No further actions taken between this and the previous step.Created and sent the Instagram post caption for Apple’s Vision Pro to the user. The task of ranking the latest tech developments for Instagram, selecting the most likely to get interactions, summarizing into bullet points and providing a caption for the post is now complete.Marked the task about the Apple Vision Pro Instagram post as complete after sending the post caption to the user. Awaiting new tasks.Started the task related to ChatGPT vs Bard by initiating a Google search for the latest news articles. No files written or URLs visited yet. Next steps will be to sort the findings based on Instagram appeal.saved google search results at googleresults65.txt to retrieve if shutdown randomly.Began the task on ChatGPT vs Bard and performed a Google search to find recent articles. Selected ‘The Verge’ article titled ‘Google’s ChatGPT competitor Bard is nearly as good’, published 23 hours ago, for the next step which is to extract key information suitable for Instagram. No files written or further URLs visited.saved the scraping of the website results at websiteresults66.txt to retrieve if shutdown randomly.Read and summarized the article from The Verge comparing Google Bard and OpenAI’s ChatGPT, saved key points into memory under the key ‘BardVsChatGPTSummary’ for later retrieval for Instagram post creation. No files written, URLs visited: The Verge article.Proceeding to retrieve the summary stored in memory under the key ‘BardVsChatGPTSummary’ to initiate the Instagram post creation process. No files read or written; no URLs visited since The Verge article.Used the summary from memory to create text for an Instagram post about Bard vs ChatGPT. Proceeded to initiate the make_post command with a descriptive prompt and short, catchy text for the post: ‘AI Showdown: Google’s Bard vs OpenAI’s ChatGPT! Bard: Your free AI with powerful responses. ChatGPT: Faster replies with multimodal magic for a fee. Who will you chat with today?’, to be visualized in ‘bard_vs_chatgpt.jpg’.Completed the task of creating an Instagram post about Google Bard vs OpenAI’s ChatGPT. Issued the ‘make_post’ command with the necessary details. No new files were created or URLs visited during this last step.Issued ‘make_post’ command with revised short text to indirectly address the request for smaller text size on the Instagram image about Google’s Bard vs OpenAI’s ChatGPT.Awaiting further instructions after executing ‘make_post’ command for the Instagram image, as the system has instructed to proceed with the plan.Received ‘proceed with your plan’ message twice with no further instructions. Issued ‘task_complete’ to mark the completion of the Instagram post task.Read the content of ‘websiteresults66.txt’ looking for The Verge’s article URL on Google Bard vs OpenAI’s ChatGPT to send the link to the user. No new actions have been taken prior to this step.Sent the base URL of The Verge to the user while providing the article’s title for further reference or search on their website, as the exact URL was not retrieved from the provided content. Awaiting any further tasks from the user.Following system confirmation, the task to send the user The Verge’s base URL for the article has been marked as complete. The system is now in a state of awaiting new tasks or directives.Initiated a fresh Google search for the latest technology news on December 23, 2023, to find new content for an Instagram post, as the previously used articles were considered outdated by the user. No files have been created or URLs visited since this update.saved google search results at googleresults67.txt to retrieve if shutdown randomly.Selected and started browsing the Indian Express article with the latest tech news from December 23, 2023, for making an Instagram post. This article was chosen because it is marked as posted ‘6 hours ago’, indicating it has the most recent updates. No files have been created or other URLs visited since the Google search.saved the scraping of the website results at websiteresults68.txt to retrieve if shutdown randomly.Initial Google search for December 23rd, 2023, tech news was completed, and an Indian Express article was selected. Upon user review, the article was considered old. Follow-up actions would involve conducting a new search for the latest content or marking the task complete based on user feedback. ‘googleresults67.txt’ and ‘websiteresults68.txt’ contain previous search and article scrape results.
The Task: The article is old I talked about making a post about latest tech news of December 23rd 2023
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8bf85516afee1891c8d218edee32298d
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
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36,158
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CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: The instance received a direct order to mark the task complete. Executed the ‘task_complete’ command in response to the user’s request.Initiated a Google search to find the most recent developments in technology on December 22, 2023. No files written, no URLs visited yet. After obtaining the search results, the next steps will be to evaluate and prioritize them before presenting a sorted list to the user.saved google search results at googleresults52.txt to retrieve if shutdown randomly.I have received search results and selected the Indian Express article that appears to contain a variety of recent tech news. After reviewing the Indian Express article, the next step is to scrutinize other articles for additional intriguing tech developments. No files written, URLs visited: Indian Express article.saved the scraping of the website results at websiteresults53.txt to retrieve if shutdown randomly.Gathered details on the recent tech developments from the Indian Express article dated December 22, 2023. Next step is to sort these details based on their Instagram appeal and engagement levels. Added the gathered information to memory with the key ‘TechNewsDetails’ for later retrieval. URLs visited: Indian Express website for tech news.Retrieving tech news information from memory to sort by appeal for Instagram users. Depending on the memory retrieval, the following action will be to rank the news from most to least intriguing based on the expected engagement levels. Previously, information was added to memory under the key ‘TechNewsDetails’.Tech news details have been retrieved. The task now is to rank them based on their visual and interest appeal for Instagram users. Previously added information has been successfully recalled from memory with the key ‘TechNewsDetails’.Ranked tech news based on potential Instagram appeal and engagement levels, as follows: Galaxy S24 leak, Apple’s Vision Pro headset, Windows 10 e-waste concerns, Android 14 battery features, Twitter outage, and Apple Watch patent repair issue. The task is now complete, and no further action is required.The instance was tasked with sending a ranked list of tech news to the user. The sorted list based on the potential Instagram appeal was successfully sent via message_user command. No further tasks have been assigned yet. No new files were created, and no URLs were visited in the process. If the user presents a new task, it will be necessary to follow the previously established procedures and constraints.The task of sending the ranked list of tech news was completed, and the message was successfully sent to the user. No further actions were required, and no additional files or URLs were involved in this process. The system has indicated that the message was sent, so the task should be marked as complete.A task has been given to create an Instagram post about the Apple Vision Pro headset. I have initiated a Google search for tips on creating prompts for DALL-E 3 specific to this product to ensure the visual content’s relevance and appeal. Next, I will draft a prompt based on the tips retrieved and proceed with creating the Instagram post. No files have been written, and no other URLs have been visited as part of this task yet.saved google search results at googleresults54.txt to retrieve if shutdown randomly.In response to the task of making an Instagram post about the Apple Vision Pro headset, a Google search was conducted for DALL-E 3 prompt tips. Although the search results did not directly provide prompt suggestions, insights were gleaned from the available information to create a descriptive and imaginative prompt. The make_post command was used with the crafted prompt intending to generate a visually appealing Instagram post. No files have been written, and no URLs have been visited during this stage of the task execution.The task of creating an Instagram post about the Apple Vision Pro headset was addressed by generating a prompt and executing the make_post command. Awaiting potential further instructions from the user. No new information has been added to the memory, and no new files or URLs have been engaged since the last command.The task is to make an Instagram post about the Apple Vision Pro headset. Started by conducting a Google search for the latest information on the product to ensure the post’s accuracy and relevance. No files written, no URLs visited, and no other actions taken since the last update.saved google search results at googleresults55.txt to retrieve if shutdown randomly.Set to browse the official Apple website for concrete details on the Apple Vision Pro headset to gather accurate information for the Instagram post. No files have been written and no other URLs visited apart from initiating this action. The summary from the previous GPT included search results on the release date and features. The process of creating the Instagram post is in progress.saved the scraping of the website results at websiteresults56.txt to retrieve if shutdown randomly.Initiated Google search for the latest news about the Apple Vision Pro headset to create an Instagram post. No files written yet. URLs visited will depend on the search results received. The Instagram post has yet to be crafted.saved google search results at googleresults57.txt to retrieve if shutdown randomly.Chose to browse the official Apple Vision Pro webpage to gather details for the Instagram post. Next steps include extracting the needed information and creating the post. Previous search results listed multiple sources, but the official site was deemed most reliable. No files written yet. URLs visited: the official Apple Vision Pro page (pending visit).saved the scraping of the website results at websiteresults58.txt to retrieve if shutdown randomly.Extracted details from the official Apple Vision Pro webpage to create an Instagram post. Compiled a prompt for DALL-E 3 to illustrate the product’s unique features. Drafted a concise caption that announces the product, highlights its capabilities, and shares the expected availability date. No files were created or written to during this process. URLs visited: official Apple Vision Pro page.Completed the task to make an Instagram post about the Apple Vision Pro headset. A detailed image prompt was given to DALL-E 3, and an appropriate caption was crafted to accompany the visual content. The post’s aim is to inform and excite the audience about the new product. No further action is required as the post creation task is concluded. No files were created or written to. The last URL visited was the official Apple Vision Pro page.No new actionable information was provided. The task mentions the text is too long and has hashtags that need to be shortened, but without the text itself or a file reference, no further steps were taken. No new files were created or written. Awaiting more details to proceed with task completion.I have requested the detailed information or file name that includes the text needing to be shortened. This step is crucial for the completion of the task as per the user’s instruction. No files were written, no URLs visited, and no actions were initiated apart from sending a message to the user for clarification.The user has provided text that needs to be shortened concerning the Apple Vision Pro news from December 22nd. I am retrieving information from memory to reformulate the text without hashtags and to make it concise, as requested by the user. No files have been created or URLs visited as part of this task yet.Stored the full list of tech news details in memory under the key ‘CondensedTechNews’ to create an Instagram post about the Apple Vision Pro headset. The user’s provided text will be shortened, and hashtags removed based on this new input. Memory added under the ‘CondensedTechNews’ key. Next step: Craft a short caption for the Instagram post with no hashtags.I have initiated the retrieval of the tech news details to fulfill the user’s request to shorten a specific part of the text about the Apple Vision Pro headset. This action is in preparation for drafting a concise Instagram caption based on the information on December 22nd. No other files or URLs are involved in this process.A need to edit the Apple Vision Pro news was identified, but there was unnecessary repetition of the memory retrieval action instead of directly proceeding with text shortening. No new files have been created, and no URLs were visited. The plan is to now condense the text regarding the Apple Vision Pro headset for the Instagram post.Condensed the Apple Vision Pro announcement into a brief caption for Instagram post: ‘Apple Vision Pro, the future of immersive tech launches in February.’ This shortened version has been saved to a file named ‘apple_vision_pro_summary.txt’ for easy retrieval. No hashtags are included, and the text is concise as per the user’s request.Created a brief caption for the Instagram post about the Apple Vision Pro headset and communicated it to the user. The caption has been sent without waiting for a response. The caption is stored in ‘apple_vision_pro_summary.txt’ in case future reference is necessary.The task of creating and delivering a shortened Instagram caption about the Apple Vision Pro headset has been completed. The text was successfully sent to the user, and no further actions are required at this point.The user requested a shorter text version of the Apple Vision Pro news suitable for an Instagram post. I am reading the content of ‘apple_vision_pro_summary.txt’ to extract necessary details. Previous file created: apple_vision_pro_summary.txt. No new URLs visited.I sent the short text ‘Apple Vision Pro, the future of immersive tech launches in February.’ to the user. Awaiting further instructions or confirmation to complete the task. The text is based on the Apple Vision Pro announcement. File referenced: apple_vision_pro_summary.txt.The short text for the Apple Vision Pro Instagram post was sent to the user, and the message delivery was confirmed. Task marked as complete.Conducted a Google search for tips on prompts for DALL-E 3, with the results saving to ‘googleresults55.txt’. Chose the Apple Vision Pro headset as the subject for an Instagram post and crafted a short caption for it, saved in ‘apple_vision_pro_summary.txt’. The caption is ‘Apple Vision Pro, the future of immersive tech launches in February.’ and is now being used to create the Instagram post.Executed ‘make_post’ command to create an Instagram post about the Apple Vision Pro headset using the previously crafted caption. The file ‘apple_vision_pro_summary.txt’ contains the caption ‘Apple Vision Pro, the future of immersive tech launches in February.’ Currently in standby mode awaiting user instructions or the confirmation of the completion of the task.No new actions have been taken since the ‘make_post’ command was issued to create an Instagram post about the Apple Vision Pro headset. The system remains in standby mode, ready to respond to any new user directives.Remained in stand-by mode following the completion of the ‘make_post’ command related to the Apple Vision Pro headset, as there have been no subsequent user instructions.Issued the ‘make_post’ command for the Apple Vision Pro Instagram post, and after multiple ‘proceed with your plan’ prompts without additional instructions, marking the task as complete.Initiated retrieval of the source URL for the Apple Vision Pro news from the file ‘websiteresults58.txt’. Awaiting the file’s content to find the link to send to the user. No steps have been missed so far. File referenced: ‘websiteresults58.txt’.After reading the provided text about the Apple Vision Pro, I have deduced that the source is the official Apple website. I messaged the user the Apple website URL as the source of the news. No new files created and no counts or browses performed in this action.The user has requested the source link for the Apple Vision Pro news. I have initiated a command to read from ‘websiteresults58.txt’, which is expected to contain the URL. After obtaining the link, I’ll send it to the user. No new files created, and no URLs visited since the last update.Retrieved the source URL for Apple Vision Pro news from ‘websiteresults58.txt’. Prepared to send the URL to the user once extracted.Gathered the content given by the user describing the Apple Vision Pro, inferred the official Apple webpage URL, and sent the link to the user. No files were created or read in this process. Waiting for the user’s response or further instructions.The link to the source of the Apple Vision Pro news was successfully sent to the user. The user was given the URL https://www.apple.com/vision/, and a system message indicated the successful delivery of that message. The task was completed as instructed, and the task_complete command was used to mark the completion.The user has tasked me with summarizing a URL and providing bullet points. The URL is ‘https://www.mobileworldlive.com/apple/apple-prepares-for-vision-pro-release/’. I am about to browse the URL to gather the necessary information to create the summary.saved the scraping of the website results at websiteresults59.txt to retrieve if shutdown randomly.I have summarized the main points of the article from ‘https://www.mobileworldlive.com/apple/apple-prepares-for-vision-pro-release/’ into a bullet list and saved this information in a new file named ‘vision_pro_summary.txt’. The file contains concise bullet points covering the key details about the Apple Vision Pro release as stated in the article.After summarizing the content on the Apple Vision Pro release into bullet points, the text was saved into ‘vision_pro_summary.txt’. The user has been notified of the completion of the task and the location of the summary file.The summary of the URL provided by the user has been successfully created, saved into ‘vision_pro_summary.txt’, and the user has been informed. The system is now being shut down as the task is complete.The user has requested the summary of the article in a message. The summary has been saved in the file named ‘vision_pro_summary.txt’. Next step is to send the content of the file to the user as a message.The bullet-point summary of the article has been sent as a message to the user. No new files have been created or read, the summary was directly provided. The task will be marked as complete after message delivery is confirmed.The message with the bullet-point summary has been successfully sent to the user. I’ve received a system confirmation, ‘message sent please proceed with your plan’, which indicates that the task is now complete. I am now executing the ‘task_complete’ command.Started the task by executing a Google search for the latest news articles on the Apple Watch patent repair issue.saved google search results at googleresults60.txt to retrieve if shutdown randomly.Selected the Firstpost article as the primary source for news on the Apple Watch repair issue related to a patent dispute. Preparing to browse the article and compile relevant bullet points.saved the scraping of the website results at websiteresults61.txt to retrieve if shutdown randomly.Extracted key points from the Firstpost article and created bullet points regarding the Apple Watch patent repair issue. Saved the summary to ‘apple_watch_patent_issue_bullet_points.txt’. Next, I will send the bullet points to the user and proceed with the Instagram post making process.Read the bullet points from ‘apple_watch_patent_issue_bullet_points.txt’ and preparing to send the content to the user. This ensures accuracy before the user receives it and before using the information for an Instagram post.Sent the bullet-point summary to the user. This information will next be used to create an Instagram post on the Apple Watch patent repair issue.Searched for DALL-E 3 prompt tips to assist with creating an Instagram post regarding the Apple Watch patent repair issue.saved google search results at googleresults62.txt to retrieve if shutdown randomly.Created a prompt for DALL-E 3 to illustrate the Apple Watch patent repair issue and initiated the ‘make_post’ command to generate an Instagram post.Executed the ‘task_complete’ command following the completion of the task to create an Instagram post about the Apple Watch patent repair issue.The task to mark the task as complete has been executed. The system should now be in a standby mode awaiting any new tasks.Began search for the most recent technology developments on December 23, 2023, to rank according to potential Instagram appeal and provide a sorted list to the user. No files written or URLs visited yet.saved google search results at googleresults63.txt to retrieve if shutdown randomly.Search conducted for latest technology developments as of December 23, 2023. Chose to browse an article from IndiaTV News about the main trends because it is the most recent source and seems comprehensive. Next steps include extracting information from the article to rank for Instagram appeal, choosing the most appealing for a post, and creating a caption in bullet points. No files have been written, and the article URL to be visited is about to be recorded in file websiteresults59.txt.saved the scraping of the website results at websiteresults64.txt to retrieve if shutdown randomly.Extracted seven tech trends from an IndiaTV News article dated December 23, 2023, involving advancements in AI, online scams, and more. Added this list to memory with the key ‘TechTrends23Dec2023’. Next steps are to rank these trends for Instagram appeal and engagement, choose the most engaging one for a post, and create a caption. No files have been created; the URL browsed was https://www.indiatvnews.com/technology/news/yearender-2023-7-trends-that-ruled-tech-industry-in-2023-2023-12-23-908660.Initiating memory retrieval of the seven key tech trends from December 23, 2023, saved under the key ‘TechTrends23Dec2023’. Next steps involve ranking these trends based on Instagram appeal and engagement and then proceeding to summarize the most engaging trend for an Instagram caption. No new files have been created or browsed in this step.Ranked the tech trends for Instagram appeal and engagement, then saved the ranked list to ‘tech_development_rankings.txt’. The next steps will be to send the user the ranked list, identify the most engaging news (Apple’s Vision Pro mixed-reality headset) for Instagram, create a post, and send the user a caption. URLs visited: an Indian TV news article. No files read in this process.Read the contents of ‘tech_development_rankings.txt’ which contains the ranked list of tech trends. Next, I will send this list to the user and then proceed to create an Instagram post about Apple’s Vision Pro mixed-reality headset. The file ‘tech_development_rankings.txt’ contains the ranked trends text. No URLs visited since the last action.Sent the ranked list of tech developments to the user. Will now focus on summarizing the Apple’s Vision Pro mixed-reality headset for an Instagram post caption using bullet points. The file ‘tech_development_rankings.txt’ contains the initial detailed rankings. No additional URLs have been visited.Using the make_post command to create an Instagram post for Apple’s Vision Pro mixed-reality headset with a descriptive prompt and a concise caption. The caption is a bullet-point summary of the product’s key features, maintaining brevity for Instagram’s format. The image will seek to capture the cutting-edge nature of the technology. No files read in this process.Sent the post caption for the Instagram post about the Apple’s Vision Pro mixed-reality headset to the user. The system is prepared to complete the task following user confirmation. No further actions taken between this and the previous step.Created and sent the Instagram post caption for Apple’s Vision Pro to the user. The task of ranking the latest tech developments for Instagram, selecting the most likely to get interactions, summarizing into bullet points and providing a caption for the post is now complete.Marked the task about the Apple Vision Pro Instagram post as complete after sending the post caption to the user. Awaiting new tasks.Started the task related to ChatGPT vs Bard by initiating a Google search for the latest news articles. No files written or URLs visited yet. Next steps will be to sort the findings based on Instagram appeal.saved google search results at googleresults65.txt to retrieve if shutdown randomly.Began the task on ChatGPT vs Bard and performed a Google search to find recent articles. Selected ‘The Verge’ article titled ‘Google’s ChatGPT competitor Bard is nearly as good’, published 23 hours ago, for the next step which is to extract key information suitable for Instagram. No files written or further URLs visited.saved the scraping of the website results at websiteresults66.txt to retrieve if shutdown randomly.Read and summarized the article from The Verge comparing Google Bard and OpenAI’s ChatGPT, saved key points into memory under the key ‘BardVsChatGPTSummary’ for later retrieval for Instagram post creation. No files written, URLs visited: The Verge article.Proceeding to retrieve the summary stored in memory under the key ‘BardVsChatGPTSummary’ to initiate the Instagram post creation process. No files read or written; no URLs visited since The Verge article.Used the summary from memory to create text for an Instagram post about Bard vs ChatGPT. Proceeded to initiate the make_post command with a descriptive prompt and short, catchy text for the post: ‘AI Showdown: Google’s Bard vs OpenAI’s ChatGPT! Bard: Your free AI with powerful responses. ChatGPT: Faster replies with multimodal magic for a fee. Who will you chat with today?’, to be visualized in ‘bard_vs_chatgpt.jpg’.Completed the task of creating an Instagram post about Google Bard vs OpenAI’s ChatGPT. Issued the ‘make_post’ command with the necessary details. No new files were created or URLs visited during this last step.Issued ‘make_post’ command with revised short text to indirectly address the request for smaller text size on the Instagram image about Google’s Bard vs OpenAI’s ChatGPT.Awaiting further instructions after executing ‘make_post’ command for the Instagram image, as the system has instructed to proceed with the plan.Received ‘proceed with your plan’ message twice with no further instructions. Issued ‘task_complete’ to mark the completion of the Instagram post task.Read the content of ‘websiteresults66.txt’ looking for The Verge’s article URL on Google Bard vs OpenAI’s ChatGPT to send the link to the user. No new actions have been taken prior to this step.Sent the base URL of The Verge to the user while providing the article’s title for further reference or search on their website, as the exact URL was not retrieved from the provided content. Awaiting any further tasks from the user.Following system confirmation, the task to send the user The Verge’s base URL for the article has been marked as complete. The system is now in a state of awaiting new tasks or directives.Initiated a fresh Google search for the latest technology news on December 23, 2023, to find new content for an Instagram post, as the previously used articles were considered outdated by the user. No files have been created or URLs visited since this update.saved google search results at googleresults67.txt to retrieve if shutdown randomly.Selected and started browsing the Indian Express article with the latest tech news from December 23, 2023, for making an Instagram post. This article was chosen because it is marked as posted ‘6 hours ago’, indicating it has the most recent updates. No files have been created or other URLs visited since the Google search.saved the scraping of the website results at websiteresults68.txt to retrieve if shutdown randomly.Initial Google search for December 23rd, 2023, tech news was completed, and an Indian Express article was selected. Upon user review, the article was considered old. Follow-up actions would involve conducting a new search for the latest content or marking the task complete based on user feedback. ‘googleresults67.txt’ and ‘websiteresults68.txt’ contain previous search and article scrape results.Started a new Google search for the latest technology news on December 23rd, 2023, to comply with the user’s request for the most recent tech news for Instagram post creation. No new files have been created, no URLs visited, and no old files re-read since the user indicated the news in the previously selected article was old. User is seeking the latest tech news instead.saved google search results at googleresults69.txt to retrieve if shutdown randomly.After performing a Google search for the latest technology news on December 23rd, 2023, I have selected an Indian Express article that promises to list the five biggest tech headlines. The choice was based on the article’s recency and expected breadth of information, fulfilling the user’s criteria for the latest news for Instagram content. No files have been created; the URL for the next action is the Indian Express article. Next action will be to extract pertinent information from this article.saved the scraping of the website results at websiteresults70.txt to retrieve if shutdown randomly.After selecting articles that the user found outdated, a new Google search has been initiated to find the latest tech news from December 23, 2023. No files have been created, and no URLs browsed between the user feedback and the new search.saved google search results at googleresults71.txt to retrieve if shutdown randomly.A Google search was carried out for the latest tech news of December 23, 2023. From the search results, the Indian Express article titled ‘Tech News Today: Millions consider deleting Instagram…’ was selected for browsing and extraction, as it seemed the most current and relevant to the user’s need for the most recent tech news for Instagram post creation.saved the scraping of the website results at websiteresults72.txt to retrieve if shutdown randomly.Conducting a new search after previous articles were marked as outdated by the user. Previous searches were saved in ‘googleresults69.txt’, ‘googleresults70.txt’, ‘googleresults71.txt’, and ‘websiteresults72.txt’. No URLs visited since user feedback. Awaiting fresh search results to use in Instagram post about latest tech news of December 23rd, 2023. Memory keys used previously: ‘TechTrends23Dec2023’.saved google search results at googleresults73.txt to retrieve if shutdown randomly.Initiated a new Google search for the latest technology news on December 23rd, 2023. Selected the IndiaTV News article that claims to list the seven biggest tech trends, based on it being the latest available information (2 hours ago). Previous Google search results are saved in ‘googleresults67.txt’, ‘googleresults69.txt’, ‘googleresults71.txt’. No files written or URLs visited since the latest command. The plan now is to extract information from this IndiaTV News article for the Instagram post.saved the scraping of the website results at websiteresults74.txt to retrieve if shutdown randomly.After browsing the most recent article on IndiaTV News about 2023 tech trends, a summary was compiled and saved in ‘tech_trends_2023_summary.txt’. The next step will be to use this summary to create informative and visually appealing Instagram content. No URLs visited or files immediately read after creating the ‘tech_trends_2023_summary.txt’. If a shutdown occurs before completing the Instagram post, the next steps can be retrieved from this summary file.Issued the ‘make_post’ command with a detailed prompt and concise, catchy caption text for an Instagram post about 2023’s tech trends. The command will result in ‘tech_trends_2023.jpg’, intended for Instagram. Awaiting the visual content to proceed. ‘tech_trends_2023_summary.txt’ contains a detailed summary of the tech trends, serving as the basis for the Instagram post (146 words). No further URLs browsed or files read after issuing the ‘make_post’ command.The task to create an Instagram post about the tech trends of 2023 has been marked as complete upon system confirmation. Used the ‘make_post’ command with a detailed prompt for the image and a short caption. The content for the post was derived from a summary file titled ‘tech_trends_2023_summary.txt’. Await new instructions for any further actions.
The Task: Those are too many news in one post send me the news and I will pick one to make a post about
|
932f1c36706e81d12a36e18c830afd93
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
36,159
|
что в этом коде означает строка chrome.storage.local.get('token', function(items) вот сам код:
function injectElement(elementType, attributes, node, innerProperty, innerValue) {
const tag = document.getElementsByTagName(node)[0];
const element = document.createElement(elementType);
for (let key in attributes) {
element.setAttribute(key, attributes[key]);
}
if (innerProperty) element[innerProperty] = innerValue;
element.setAttribute('id', `Voron${elementType.charAt(0).toUpperCase() + elementType.slice(1)}`);
if (tag) tag.appendChild(element);
}
function injectScript(file, node) {
injectElement('script', {
type: 'text/javascript',
src: file
}, node);
}
function injectCSSCode(code, node) {
injectElement('style', {
rel: 'stylesheet'
}, node, 'textContent', code);
}
function injectCode(code, node) {
injectElement('div', {}, node, 'innerHTML', code);
}
function injectCss(file, node) {
injectElement('link', {
href: file,
rel: 'stylesheet'
}, node);
}
function injectScriptModule(file, node) {
injectElement('script', {
type: 'module',
src: file
}, node);
}
function waitForElement(elementId, callBack, timeout = 5000) {
const interval = setInterval(() => {
let element = document.querySelector(elementId);
if (element) {
clearInterval(interval);
callBack(elementId, element);
}
}, 50);
setTimeout(() => {
clearInterval(interval);
}, timeout);
}
function injectHtml(path) {
fetch(chrome.runtime.getURL(path))
.then(response => response.text())
.then(data => {
try {
if (document.body) {
const tempElement = document.createElement('template');
tempElement.innerHTML = data;
document.body.appendChild(tempElement.content);
}
} catch (e) {
console.error("Failed to inject HTML: ", e.message);
}
})
.catch(err => {
console.error(err);
});
}
function injectIfEnabled(storageKey, injectFunction) {
chrome.storage.local.get(storageKey, function(items) {
if (items[storageKey] === true) {
injectFunction();
}
});
}
function fr() {
// Для редактора
if (window.location.href.indexOf("//tilda.cc/page/") !== -1) {
injectScript(chrome.runtime.getURL("modules/editor/search.js"), "body");
injectCss(chrome.runtime.getURL("styles.css"), "body");
injectScript(chrome.runtime.getURL("blocks/inject.js"), "body");
injectScript(chrome.runtime.getURL("modules/editor/picker.js"), "body");
injectScript(chrome.runtime.getURL("showrec.js"), "body");
injectIfEnabled('publish', () => {
injectScript(chrome.runtime.getURL('modules/editor/publish.js'), 'body')
});
injectIfEnabled("recids", () => {
injectScript(chrome.runtime.getURL("modules/editor/recid.js"), "body");
});
injectIfEnabled("blockids", () => {
injectScript(chrome.runtime.getURL("modules/editor/blockid.js"), "body");
});
}
// Для интерфейса
if (
(window.location.href.indexOf("//tilda.cc/projects/") !== -1 && window.location.href.indexOf("://tilda.cc/zero/") === -1) ||
(window.location.href.indexOf("//store.tilda.cc/") !== -1 && window.location.href.indexOf("://tilda.cc/zero/") === -1)
) {
injectIfEnabled("black", () => {
document.querySelector("head > style")
.remove();
injectCss(chrome.runtime.getURL("black-mode/black-mode.css"), "head");
injectCSSCode(
`
.td-button-ico_white {
color: #fff !important;
background-color: transparent !important;
transition: 200ms;
border-radius: 55px !important;
border: 1px solid #ccc !important;
}
`,
`body`
);
});
}
}
chrome.storage.local.get('token', function(items) {
// Если токен есть
if (items.token) {
chrome.storage.local.get('free', function(it) {
// console.log('once here');
// Free
if (it.free === true) fr()
else {
// Если не free
async function checklic() {
// Для Тильды
if (window.location.href.indexOf("tilda.cc") !== -1 &&
window.location.href.indexOf("?ref=https://tilda.cc") === -1 &&
window.location.href.indexOf("https://tilda.cc/ru/") === -1 &&
window.location.href.indexOf("https://help-ru.tilda.cc/") === -1) {
const data = await fetch("https://voron-api.ru/login", {
method: "POST",
headers: {
"Content-Type": "application/json",
"X-Auth-Token": items.token,
},
});
const result = await data.json();
// Pro
if (result.pro === "ok") {
// Для редактора
if (window.location.href.indexOf("//tilda.cc/page/") !== -1) {
injectScript(chrome.runtime.getURL("blocks/v.js"), "body");
injectIfEnabled("height123", () => {
injectCss(chrome.runtime.getURL("modules/editor/height123.css"), "body");
});
injectIfEnabled("guides", () => {
injectScript(chrome.runtime.getURL("modules/editor/guides.js"), "body");
});
injectIfEnabled("blocks", () => {
injectScript(chrome.runtime.getURL("modules/editor/blockmap.js"), "body");
});
injectIfEnabled('minify', () => {
injectScript(chrome.runtime.getURL('modules/editor/minify.js'), 'body')
});
chrome.storage.local.get("bt123", function(items) {
switch (items.bt123) {
case "monokai":
injectCss(chrome.runtime.getURL("/ace/theme/monokai.css"), "body");
break;
case "tomorrow_night":
injectCss(chrome.runtime.getURL("/ace/theme/tomorrow_night.css"), "body");
break;
case "merbivore_soft":
injectCss(chrome.runtime.getURL("/ace/theme/merbivore_soft.css"), "body");
break;
case "sqlserver":
injectCss(chrome.runtime.getURL("/ace/theme/sqlserver.css"), "body");
break;
default:
console.log("No theme picked");
break;
}
});
}
// Для кода в настройках сайта
if (
window.location.href.indexOf("//tilda.cc/projects/editcustomcss/") !== -1 ||
window.location.href.indexOf("//tilda.cc/projects/editheadcode/") !== -1
) {
waitForElement(".ace-github", function() {
injectScriptModule(chrome.runtime.getURL("ace/ace.js"), "body");
chrome.storage.local.get("bt123", function(items) {
switch (items.bt123) {
case "monokai":
injectCss(chrome.runtime.getURL("/ace/theme/monokai.css"), "body");
break;
case "tomorrow_night":
injectCss(chrome.runtime.getURL("/ace/theme/tomorrow_night.css"), "body");
break;
case "merbivore_soft":
injectCss(chrome.runtime.getURL("/ace/theme/merbivore_soft.css"), "body");
break;
case "sqlserver":
injectCss(chrome.runtime.getURL("/ace/theme/sqlserver.css"), "body");
break;
default:
console.log("No theme picked");
break;
}
});
});
}
// Для зеро
if (window.location.href.indexOf("//tilda.cc/zero/") !== -1) {
chrome.storage.local.get("sbscopy", function(items) {
if (items.sbscopy == true) {
chrome.storage.local.get("sbs", function(items) {
if (items.sbs) {
window.localStorage.tzerosbsanimation = items.sbs;
}
});
}
});
}
chrome.storage.local.set({
expire: result.expire,
});
if (it.free === true) {
chrome.storage.local.set({
token: '',
pro: '',
expire: '',
free: ''
})
}
} else {
chrome.storage.local.set({
free: true,
inspect: false,
whattype: false,
sitemap: false,
editing: false,
});
}
// Истекла
if (result.auth === "ok") {
fr()
}
} else {
// Для опубликованных страниц
if (
window.location.href.indexOf("//tilda.cc/projects/") === -1 &&
window.location.href.indexOf("//tilda.cc/zero/") === -1 &&
document.querySelector('.t-body #allrecords')
) {
chrome.storage.local.get("inspect", function(items) {
if (items.inspect == true) {
injectScriptModule(chrome.runtime.getURL("modules/published/hljs.js"), "head");
injectCss(chrome.runtime.getURL("modules/published/highlight.min.css"), `head`);
injectCSSCode(
`.codeToT123 {display: block;
padding: 9.5px;
margin: 0 0 10px;
font-size: 13px;
line-height: 1.428571429;
color: #333;
word-break: break-all;
display: flex;
word-wrap: break-word;
background-color: #f5f5f5 !important;
border: 1px solid #ccc;
border-radius: 4px;}
#v {
display: table-cell;
vertical-align: middle;
padding-left: 12px;
padding-right: 12px;
background-color: #FFF;
border: 1px solid;
border-radius: 3px;
cursor: pointer;
padding-top: 5px;
padding-bottom: 5px;
position: relative;
left: 15px;
z-index: 99999;
top: 10px;
font-family: 'Open Sans',arial;
font-size: 13px;
line-height: 15px;
font-weight: 400;
color: #333;
height: 20px;
}
.v-edit {
background-color: #FA876B !important;
border-color: #FA876B !important;
}
.tn-right-box {
display: none;
}
`, `body`
);
}
});
chrome.storage.local.get("whattype", function(items) {
if (items.whattype == true) {
injectHtml("modules/published/rightbox-wrap.html");
injectHtml("modules/published/rightbox.html");
injectScript(chrome.runtime.getURL("modules/published/whattype.js"), "head");
injectCss(chrome.runtime.getURL(`modules/published/zeroSet.css`), `head`);
injectCSSCode(
`#v {
display: table-cell;
vertical-align: middle;
padding-left: 12px;
padding-right: 12px;
background-color: #FFF;
border: 1px solid;
border-radius: 2px;
cursor: pointer;
padding-top: 5px;
padding-bottom: 5px;
position: relative;
left: 15px;
z-index: 99999;
top: 10px;
font-family: 'Open Sans',arial;
font-size: 13px;
line-height: 15px;
font-weight: 400;
color: #333;
height: 20px;
}
.v-edit {
background-color: #FA876B !important;
border-color: #FA876B !important;
}
.tn-right-box {
display: none;
}
`, `body`
);
}
});
chrome.storage.local.get("sitemap", function(items) {
if (items.sitemap == true) {
injectScript(chrome.runtime.getURL("modules/published/sitemap.js"), "body");
}
});
injectIfEnabled("editing", () => {
injectHtml("context-menu/context-menu.html");
injectCss(chrome.runtime.getURL(`context-menu/context-menu.css`), `head`);
injectScript(chrome.runtime.getURL("context-menu/context-menu.js"), "body");
});
window.addEventListener("message", function(event) {
if (event.data.hasOwnProperty("event") && event.data.event == "chatMessage") {
let sbs = event.data.value;
chrome.storage.local.set({
sbs: sbs,
});
}
});
// Прием сообщений для переключения вкадок
window.addEventListener("message", function(event) {
if (event.data.hasOwnProperty("event") && event.data.event == "tabsswitch") {
chrome.runtime.sendMessage({
info: "tabpublish"
}, function(response) {
});
}
});
// Отправка сообщения сразу, чтобы keep alive service worker
chrome.runtime.sendMessage({
info: "keepalive"
}, function(response) {
if (response !== undefined) {}
});
// injectCSSCode(`#allrecords{overflow:hidden!important;}`, 'body', 'VoronCss')
}
}
}
checklic();
}
})
}
})
|
04c5d6ab57211775e2eb50e05d1754ca
|
{
"intermediate": 0.334716796875,
"beginner": 0.5400094389915466,
"expert": 0.12527376413345337
}
|
36,160
|
override protected function addChildren():void
{
var _local_1:int;
var _local_5:TabButtonUI;
super.addChildren();
this._topPanelBitmap = new Bitmap(Images.LOBBY_PANEL_TOP);
addChild(this._topPanelBitmap);
this._playerAvatar = new PlayerAvatarUI(this);
this._coinBitmap = new Bitmap(Images.ICON_COIN);
this._coinBitmap.x = 41;
this._coinBitmap.y = -1;
addChild(this._coinBitmap);
this._coinsLabel = (new LabelUI(this, 70, 4).setAutoSize(false).setVerticalAlign(LabelUI.TOP_ALIGN).setSystemFont("Verdana", 13, 4070927).addFilter(UIStyle.COINS_FILTER).setSize(76, 20) as LabelUI);
this._buyCoinsButton = (new ButtonUI(this, 152, 3).setImage(Images.BUTTON_BUY_COINS).setSize(22, 22) as ButtonUI);
this._experienceBar = new ExperienceBarUI(this, 199, 8);
this._levelViewer = new LevelViewerUI(this, 181, 2);
this._lobbyPagesPanel = new PanelUI(this);
this._lobbyPagesTabs = new Vector.<TabButtonUI>(3, true);
var _local_1:int;
while (_local_1 < this._lobbyPagesTabs.length)
{
_local_5 = new TabButtonUI(this._lobbyPagesPanel);
_local_5.tag = _local_1;
_local_5.groupName = "lobbyPages";
_local_5.setSize(127, 48);
_local_5.setImage(Images.TAB_LOBBY_ITEMS[_local_1]);
_local_5.y = 29;
this._lobbyPagesTabs[_local_1] = _local_5;
_local_1++;
};
this._lobbyPagesTabs[0].x = 77;
this._lobbyPagesTabs[1].x = 0xFF;
this._lobbyPagesTabs[2].x = 434;
this._soundButton = (new ToggleButtonUI(this, 718, 2).setImage(Images.BUTTON_GAME_SOUND).setToolTipText(Text.getValue("ui_tooltip_sound")).setToolTipDirection(UI.BOTTOM_TOOLTIP_DIRECTION).setSize(25, 25) as ToggleButtonUI);
this._helpButton = (new ButtonUI(this, 743, 2).setImage(Images.BUTTON_GAME_HELP).setToolTipText(Text.getValue("ui_tooltip_help")).setToolTipDirection(UI.BOTTOM_TOOLTIP_DIRECTION).setSize(25, 25) as ButtonUI);
this._aboutButton = (new ButtonUI(this, 0x0300, 2).setImage(Images.BUTTON_ABOUT).setToolTipText(Text.getValue("ui_tooltip_authors")).setToolTipDirection(UI.BOTTOM_TOOLTIP_DIRECTION).setSize(25, 25) as ButtonUI);
this._bottomPanelBitmap = new Bitmap(Images.LOBBY_PANEL_BOTTOM);
this._bottomPanelBitmap.y = 532;
addChild(this._bottomPanelBitmap);
this._randomFriendViewer = (new FriendViewerUI(this, 10, 537).setToolTipDirection(UI.TOP_TOOLTIP_DIRECTION) as FriendViewerUI);
var _local_2:RepeatButtonUI = (new RepeatButtonUI(this, 92, 555).setImage(Images.BUTTON_SCROLL_LEFT).setSize(24, 64) as RepeatButtonUI);
var _local_3:RepeatButtonUI = (new RepeatButtonUI(this, 766, 555).setImage(Images.BUTTON_SCROLL_RIGHT).setSize(24, 64) as RepeatButtonUI);
var _local_4:ScrollUI = new ScrollUI(this).setPrevButton(_local_2).setNextButton(_local_3);
this._friendList = (new FriendListUI(this, 124, 537).setSelectable(false).setScroll(_local_4) as FriendListUI);
new DefaultToolTipUI(this);
} как _topPanelBitmap выставить по центру
|
d2d6aeed6599f1769e535410b8d83ea5
|
{
"intermediate": 0.2973789572715759,
"beginner": 0.5356970429420471,
"expert": 0.16692405939102173
}
|
36,161
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: The instance received a direct order to mark the task complete. Executed the ‘task_complete’ command in response to the user’s request.Initiated a Google search to find the most recent developments in technology on December 22, 2023. No files written, no URLs visited yet. After obtaining the search results, the next steps will be to evaluate and prioritize them before presenting a sorted list to the user.saved google search results at googleresults52.txt to retrieve if shutdown randomly.I have received search results and selected the Indian Express article that appears to contain a variety of recent tech news. After reviewing the Indian Express article, the next step is to scrutinize other articles for additional intriguing tech developments. No files written, URLs visited: Indian Express article.saved the scraping of the website results at websiteresults53.txt to retrieve if shutdown randomly.Gathered details on the recent tech developments from the Indian Express article dated December 22, 2023. Next step is to sort these details based on their Instagram appeal and engagement levels. Added the gathered information to memory with the key ‘TechNewsDetails’ for later retrieval. URLs visited: Indian Express website for tech news.Retrieving tech news information from memory to sort by appeal for Instagram users. Depending on the memory retrieval, the following action will be to rank the news from most to least intriguing based on the expected engagement levels. Previously, information was added to memory under the key ‘TechNewsDetails’.Tech news details have been retrieved. The task now is to rank them based on their visual and interest appeal for Instagram users. Previously added information has been successfully recalled from memory with the key ‘TechNewsDetails’.Ranked tech news based on potential Instagram appeal and engagement levels, as follows: Galaxy S24 leak, Apple’s Vision Pro headset, Windows 10 e-waste concerns, Android 14 battery features, Twitter outage, and Apple Watch patent repair issue. The task is now complete, and no further action is required.The instance was tasked with sending a ranked list of tech news to the user. The sorted list based on the potential Instagram appeal was successfully sent via message_user command. No further tasks have been assigned yet. No new files were created, and no URLs were visited in the process. If the user presents a new task, it will be necessary to follow the previously established procedures and constraints.The task of sending the ranked list of tech news was completed, and the message was successfully sent to the user. No further actions were required, and no additional files or URLs were involved in this process. The system has indicated that the message was sent, so the task should be marked as complete.A task has been given to create an Instagram post about the Apple Vision Pro headset. I have initiated a Google search for tips on creating prompts for DALL-E 3 specific to this product to ensure the visual content’s relevance and appeal. Next, I will draft a prompt based on the tips retrieved and proceed with creating the Instagram post. No files have been written, and no other URLs have been visited as part of this task yet.saved google search results at googleresults54.txt to retrieve if shutdown randomly.In response to the task of making an Instagram post about the Apple Vision Pro headset, a Google search was conducted for DALL-E 3 prompt tips. Although the search results did not directly provide prompt suggestions, insights were gleaned from the available information to create a descriptive and imaginative prompt. The make_post command was used with the crafted prompt intending to generate a visually appealing Instagram post. No files have been written, and no URLs have been visited during this stage of the task execution.The task of creating an Instagram post about the Apple Vision Pro headset was addressed by generating a prompt and executing the make_post command. Awaiting potential further instructions from the user. No new information has been added to the memory, and no new files or URLs have been engaged since the last command.The task is to make an Instagram post about the Apple Vision Pro headset. Started by conducting a Google search for the latest information on the product to ensure the post’s accuracy and relevance. No files written, no URLs visited, and no other actions taken since the last update.saved google search results at googleresults55.txt to retrieve if shutdown randomly.Set to browse the official Apple website for concrete details on the Apple Vision Pro headset to gather accurate information for the Instagram post. No files have been written and no other URLs visited apart from initiating this action. The summary from the previous GPT included search results on the release date and features. The process of creating the Instagram post is in progress.saved the scraping of the website results at websiteresults56.txt to retrieve if shutdown randomly.Initiated Google search for the latest news about the Apple Vision Pro headset to create an Instagram post. No files written yet. URLs visited will depend on the search results received. The Instagram post has yet to be crafted.saved google search results at googleresults57.txt to retrieve if shutdown randomly.Chose to browse the official Apple Vision Pro webpage to gather details for the Instagram post. Next steps include extracting the needed information and creating the post. Previous search results listed multiple sources, but the official site was deemed most reliable. No files written yet. URLs visited: the official Apple Vision Pro page (pending visit).saved the scraping of the website results at websiteresults58.txt to retrieve if shutdown randomly.Extracted details from the official Apple Vision Pro webpage to create an Instagram post. Compiled a prompt for DALL-E 3 to illustrate the product’s unique features. Drafted a concise caption that announces the product, highlights its capabilities, and shares the expected availability date. No files were created or written to during this process. URLs visited: official Apple Vision Pro page.Completed the task to make an Instagram post about the Apple Vision Pro headset. A detailed image prompt was given to DALL-E 3, and an appropriate caption was crafted to accompany the visual content. The post’s aim is to inform and excite the audience about the new product. No further action is required as the post creation task is concluded. No files were created or written to. The last URL visited was the official Apple Vision Pro page.No new actionable information was provided. The task mentions the text is too long and has hashtags that need to be shortened, but without the text itself or a file reference, no further steps were taken. No new files were created or written. Awaiting more details to proceed with task completion.I have requested the detailed information or file name that includes the text needing to be shortened. This step is crucial for the completion of the task as per the user’s instruction. No files were written, no URLs visited, and no actions were initiated apart from sending a message to the user for clarification.The user has provided text that needs to be shortened concerning the Apple Vision Pro news from December 22nd. I am retrieving information from memory to reformulate the text without hashtags and to make it concise, as requested by the user. No files have been created or URLs visited as part of this task yet.Stored the full list of tech news details in memory under the key ‘CondensedTechNews’ to create an Instagram post about the Apple Vision Pro headset. The user’s provided text will be shortened, and hashtags removed based on this new input. Memory added under the ‘CondensedTechNews’ key. Next step: Craft a short caption for the Instagram post with no hashtags.I have initiated the retrieval of the tech news details to fulfill the user’s request to shorten a specific part of the text about the Apple Vision Pro headset. This action is in preparation for drafting a concise Instagram caption based on the information on December 22nd. No other files or URLs are involved in this process.A need to edit the Apple Vision Pro news was identified, but there was unnecessary repetition of the memory retrieval action instead of directly proceeding with text shortening. No new files have been created, and no URLs were visited. The plan is to now condense the text regarding the Apple Vision Pro headset for the Instagram post.Condensed the Apple Vision Pro announcement into a brief caption for Instagram post: ‘Apple Vision Pro, the future of immersive tech launches in February.’ This shortened version has been saved to a file named ‘apple_vision_pro_summary.txt’ for easy retrieval. No hashtags are included, and the text is concise as per the user’s request.Created a brief caption for the Instagram post about the Apple Vision Pro headset and communicated it to the user. The caption has been sent without waiting for a response. The caption is stored in ‘apple_vision_pro_summary.txt’ in case future reference is necessary.The task of creating and delivering a shortened Instagram caption about the Apple Vision Pro headset has been completed. The text was successfully sent to the user, and no further actions are required at this point.The user requested a shorter text version of the Apple Vision Pro news suitable for an Instagram post. I am reading the content of ‘apple_vision_pro_summary.txt’ to extract necessary details. Previous file created: apple_vision_pro_summary.txt. No new URLs visited.I sent the short text ‘Apple Vision Pro, the future of immersive tech launches in February.’ to the user. Awaiting further instructions or confirmation to complete the task. The text is based on the Apple Vision Pro announcement. File referenced: apple_vision_pro_summary.txt.The short text for the Apple Vision Pro Instagram post was sent to the user, and the message delivery was confirmed. Task marked as complete.Conducted a Google search for tips on prompts for DALL-E 3, with the results saving to ‘googleresults55.txt’. Chose the Apple Vision Pro headset as the subject for an Instagram post and crafted a short caption for it, saved in ‘apple_vision_pro_summary.txt’. The caption is ‘Apple Vision Pro, the future of immersive tech launches in February.’ and is now being used to create the Instagram post.Executed ‘make_post’ command to create an Instagram post about the Apple Vision Pro headset using the previously crafted caption. The file ‘apple_vision_pro_summary.txt’ contains the caption ‘Apple Vision Pro, the future of immersive tech launches in February.’ Currently in standby mode awaiting user instructions or the confirmation of the completion of the task.No new actions have been taken since the ‘make_post’ command was issued to create an Instagram post about the Apple Vision Pro headset. The system remains in standby mode, ready to respond to any new user directives.Remained in stand-by mode following the completion of the ‘make_post’ command related to the Apple Vision Pro headset, as there have been no subsequent user instructions.Issued the ‘make_post’ command for the Apple Vision Pro Instagram post, and after multiple ‘proceed with your plan’ prompts without additional instructions, marking the task as complete.Initiated retrieval of the source URL for the Apple Vision Pro news from the file ‘websiteresults58.txt’. Awaiting the file’s content to find the link to send to the user. No steps have been missed so far. File referenced: ‘websiteresults58.txt’.After reading the provided text about the Apple Vision Pro, I have deduced that the source is the official Apple website. I messaged the user the Apple website URL as the source of the news. No new files created and no counts or browses performed in this action.The user has requested the source link for the Apple Vision Pro news. I have initiated a command to read from ‘websiteresults58.txt’, which is expected to contain the URL. After obtaining the link, I’ll send it to the user. No new files created, and no URLs visited since the last update.Retrieved the source URL for Apple Vision Pro news from ‘websiteresults58.txt’. Prepared to send the URL to the user once extracted.Gathered the content given by the user describing the Apple Vision Pro, inferred the official Apple webpage URL, and sent the link to the user. No files were created or read in this process. Waiting for the user’s response or further instructions.The link to the source of the Apple Vision Pro news was successfully sent to the user. The user was given the URL https://www.apple.com/vision/, and a system message indicated the successful delivery of that message. The task was completed as instructed, and the task_complete command was used to mark the completion.The user has tasked me with summarizing a URL and providing bullet points. The URL is ‘https://www.mobileworldlive.com/apple/apple-prepares-for-vision-pro-release/’. I am about to browse the URL to gather the necessary information to create the summary.saved the scraping of the website results at websiteresults59.txt to retrieve if shutdown randomly.I have summarized the main points of the article from ‘https://www.mobileworldlive.com/apple/apple-prepares-for-vision-pro-release/’ into a bullet list and saved this information in a new file named ‘vision_pro_summary.txt’. The file contains concise bullet points covering the key details about the Apple Vision Pro release as stated in the article.After summarizing the content on the Apple Vision Pro release into bullet points, the text was saved into ‘vision_pro_summary.txt’. The user has been notified of the completion of the task and the location of the summary file.The summary of the URL provided by the user has been successfully created, saved into ‘vision_pro_summary.txt’, and the user has been informed. The system is now being shut down as the task is complete.The user has requested the summary of the article in a message. The summary has been saved in the file named ‘vision_pro_summary.txt’. Next step is to send the content of the file to the user as a message.The bullet-point summary of the article has been sent as a message to the user. No new files have been created or read, the summary was directly provided. The task will be marked as complete after message delivery is confirmed.The message with the bullet-point summary has been successfully sent to the user. I’ve received a system confirmation, ‘message sent please proceed with your plan’, which indicates that the task is now complete. I am now executing the ‘task_complete’ command.Started the task by executing a Google search for the latest news articles on the Apple Watch patent repair issue.saved google search results at googleresults60.txt to retrieve if shutdown randomly.Selected the Firstpost article as the primary source for news on the Apple Watch repair issue related to a patent dispute. Preparing to browse the article and compile relevant bullet points.saved the scraping of the website results at websiteresults61.txt to retrieve if shutdown randomly.Extracted key points from the Firstpost article and created bullet points regarding the Apple Watch patent repair issue. Saved the summary to ‘apple_watch_patent_issue_bullet_points.txt’. Next, I will send the bullet points to the user and proceed with the Instagram post making process.Read the bullet points from ‘apple_watch_patent_issue_bullet_points.txt’ and preparing to send the content to the user. This ensures accuracy before the user receives it and before using the information for an Instagram post.Sent the bullet-point summary to the user. This information will next be used to create an Instagram post on the Apple Watch patent repair issue.Searched for DALL-E 3 prompt tips to assist with creating an Instagram post regarding the Apple Watch patent repair issue.saved google search results at googleresults62.txt to retrieve if shutdown randomly.Created a prompt for DALL-E 3 to illustrate the Apple Watch patent repair issue and initiated the ‘make_post’ command to generate an Instagram post.Executed the ‘task_complete’ command following the completion of the task to create an Instagram post about the Apple Watch patent repair issue.The task to mark the task as complete has been executed. The system should now be in a standby mode awaiting any new tasks.Began search for the most recent technology developments on December 23, 2023, to rank according to potential Instagram appeal and provide a sorted list to the user. No files written or URLs visited yet.saved google search results at googleresults63.txt to retrieve if shutdown randomly.Search conducted for latest technology developments as of December 23, 2023. Chose to browse an article from IndiaTV News about the main trends because it is the most recent source and seems comprehensive. Next steps include extracting information from the article to rank for Instagram appeal, choosing the most appealing for a post, and creating a caption in bullet points. No files have been written, and the article URL to be visited is about to be recorded in file websiteresults59.txt.saved the scraping of the website results at websiteresults64.txt to retrieve if shutdown randomly.Extracted seven tech trends from an IndiaTV News article dated December 23, 2023, involving advancements in AI, online scams, and more. Added this list to memory with the key ‘TechTrends23Dec2023’. Next steps are to rank these trends for Instagram appeal and engagement, choose the most engaging one for a post, and create a caption. No files have been created; the URL browsed was https://www.indiatvnews.com/technology/news/yearender-2023-7-trends-that-ruled-tech-industry-in-2023-2023-12-23-908660.Initiating memory retrieval of the seven key tech trends from December 23, 2023, saved under the key ‘TechTrends23Dec2023’. Next steps involve ranking these trends based on Instagram appeal and engagement and then proceeding to summarize the most engaging trend for an Instagram caption. No new files have been created or browsed in this step.Ranked the tech trends for Instagram appeal and engagement, then saved the ranked list to ‘tech_development_rankings.txt’. The next steps will be to send the user the ranked list, identify the most engaging news (Apple’s Vision Pro mixed-reality headset) for Instagram, create a post, and send the user a caption. URLs visited: an Indian TV news article. No files read in this process.Read the contents of ‘tech_development_rankings.txt’ which contains the ranked list of tech trends. Next, I will send this list to the user and then proceed to create an Instagram post about Apple’s Vision Pro mixed-reality headset. The file ‘tech_development_rankings.txt’ contains the ranked trends text. No URLs visited since the last action.Sent the ranked list of tech developments to the user. Will now focus on summarizing the Apple’s Vision Pro mixed-reality headset for an Instagram post caption using bullet points. The file ‘tech_development_rankings.txt’ contains the initial detailed rankings. No additional URLs have been visited.Using the make_post command to create an Instagram post for Apple’s Vision Pro mixed-reality headset with a descriptive prompt and a concise caption. The caption is a bullet-point summary of the product’s key features, maintaining brevity for Instagram’s format. The image will seek to capture the cutting-edge nature of the technology. No files read in this process.Sent the post caption for the Instagram post about the Apple’s Vision Pro mixed-reality headset to the user. The system is prepared to complete the task following user confirmation. No further actions taken between this and the previous step.Created and sent the Instagram post caption for Apple’s Vision Pro to the user. The task of ranking the latest tech developments for Instagram, selecting the most likely to get interactions, summarizing into bullet points and providing a caption for the post is now complete.Marked the task about the Apple Vision Pro Instagram post as complete after sending the post caption to the user. Awaiting new tasks.Started the task related to ChatGPT vs Bard by initiating a Google search for the latest news articles. No files written or URLs visited yet. Next steps will be to sort the findings based on Instagram appeal.saved google search results at googleresults65.txt to retrieve if shutdown randomly.Began the task on ChatGPT vs Bard and performed a Google search to find recent articles. Selected ‘The Verge’ article titled ‘Google’s ChatGPT competitor Bard is nearly as good’, published 23 hours ago, for the next step which is to extract key information suitable for Instagram. No files written or further URLs visited.saved the scraping of the website results at websiteresults66.txt to retrieve if shutdown randomly.Read and summarized the article from The Verge comparing Google Bard and OpenAI’s ChatGPT, saved key points into memory under the key ‘BardVsChatGPTSummary’ for later retrieval for Instagram post creation. No files written, URLs visited: The Verge article.Proceeding to retrieve the summary stored in memory under the key ‘BardVsChatGPTSummary’ to initiate the Instagram post creation process. No files read or written; no URLs visited since The Verge article.Used the summary from memory to create text for an Instagram post about Bard vs ChatGPT. Proceeded to initiate the make_post command with a descriptive prompt and short, catchy text for the post: ‘AI Showdown: Google’s Bard vs OpenAI’s ChatGPT! Bard: Your free AI with powerful responses. ChatGPT: Faster replies with multimodal magic for a fee. Who will you chat with today?’, to be visualized in ‘bard_vs_chatgpt.jpg’.Completed the task of creating an Instagram post about Google Bard vs OpenAI’s ChatGPT. Issued the ‘make_post’ command with the necessary details. No new files were created or URLs visited during this last step.Issued ‘make_post’ command with revised short text to indirectly address the request for smaller text size on the Instagram image about Google’s Bard vs OpenAI’s ChatGPT.Awaiting further instructions after executing ‘make_post’ command for the Instagram image, as the system has instructed to proceed with the plan.Received ‘proceed with your plan’ message twice with no further instructions. Issued ‘task_complete’ to mark the completion of the Instagram post task.Read the content of ‘websiteresults66.txt’ looking for The Verge’s article URL on Google Bard vs OpenAI’s ChatGPT to send the link to the user. No new actions have been taken prior to this step.Sent the base URL of The Verge to the user while providing the article’s title for further reference or search on their website, as the exact URL was not retrieved from the provided content. Awaiting any further tasks from the user.Following system confirmation, the task to send the user The Verge’s base URL for the article has been marked as complete. The system is now in a state of awaiting new tasks or directives.Initiated a fresh Google search for the latest technology news on December 23, 2023, to find new content for an Instagram post, as the previously used articles were considered outdated by the user. No files have been created or URLs visited since this update.saved google search results at googleresults67.txt to retrieve if shutdown randomly.Selected and started browsing the Indian Express article with the latest tech news from December 23, 2023, for making an Instagram post. This article was chosen because it is marked as posted ‘6 hours ago’, indicating it has the most recent updates. No files have been created or other URLs visited since the Google search.saved the scraping of the website results at websiteresults68.txt to retrieve if shutdown randomly.Initial Google search for December 23rd, 2023, tech news was completed, and an Indian Express article was selected. Upon user review, the article was considered old. Follow-up actions would involve conducting a new search for the latest content or marking the task complete based on user feedback. ‘googleresults67.txt’ and ‘websiteresults68.txt’ contain previous search and article scrape results.Started a new Google search for the latest technology news on December 23rd, 2023, to comply with the user’s request for the most recent tech news for Instagram post creation. No new files have been created, no URLs visited, and no old files re-read since the user indicated the news in the previously selected article was old. User is seeking the latest tech news instead.saved google search results at googleresults69.txt to retrieve if shutdown randomly.After performing a Google search for the latest technology news on December 23rd, 2023, I have selected an Indian Express article that promises to list the five biggest tech headlines. The choice was based on the article’s recency and expected breadth of information, fulfilling the user’s criteria for the latest news for Instagram content. No files have been created; the URL for the next action is the Indian Express article. Next action will be to extract pertinent information from this article.saved the scraping of the website results at websiteresults70.txt to retrieve if shutdown randomly.After selecting articles that the user found outdated, a new Google search has been initiated to find the latest tech news from December 23, 2023. No files have been created, and no URLs browsed between the user feedback and the new search.saved google search results at googleresults71.txt to retrieve if shutdown randomly.A Google search was carried out for the latest tech news of December 23, 2023. From the search results, the Indian Express article titled ‘Tech News Today: Millions consider deleting Instagram…’ was selected for browsing and extraction, as it seemed the most current and relevant to the user’s need for the most recent tech news for Instagram post creation.saved the scraping of the website results at websiteresults72.txt to retrieve if shutdown randomly.Conducting a new search after previous articles were marked as outdated by the user. Previous searches were saved in ‘googleresults69.txt’, ‘googleresults70.txt’, ‘googleresults71.txt’, and ‘websiteresults72.txt’. No URLs visited since user feedback. Awaiting fresh search results to use in Instagram post about latest tech news of December 23rd, 2023. Memory keys used previously: ‘TechTrends23Dec2023’.saved google search results at googleresults73.txt to retrieve if shutdown randomly.Initiated a new Google search for the latest technology news on December 23rd, 2023. Selected the IndiaTV News article that claims to list the seven biggest tech trends, based on it being the latest available information (2 hours ago). Previous Google search results are saved in ‘googleresults67.txt’, ‘googleresults69.txt’, ‘googleresults71.txt’. No files written or URLs visited since the latest command. The plan now is to extract information from this IndiaTV News article for the Instagram post.saved the scraping of the website results at websiteresults74.txt to retrieve if shutdown randomly.After browsing the most recent article on IndiaTV News about 2023 tech trends, a summary was compiled and saved in ‘tech_trends_2023_summary.txt’. The next step will be to use this summary to create informative and visually appealing Instagram content. No URLs visited or files immediately read after creating the ‘tech_trends_2023_summary.txt’. If a shutdown occurs before completing the Instagram post, the next steps can be retrieved from this summary file.Issued the ‘make_post’ command with a detailed prompt and concise, catchy caption text for an Instagram post about 2023’s tech trends. The command will result in ‘tech_trends_2023.jpg’, intended for Instagram. Awaiting the visual content to proceed. ‘tech_trends_2023_summary.txt’ contains a detailed summary of the tech trends, serving as the basis for the Instagram post (146 words). No further URLs browsed or files read after issuing the ‘make_post’ command.The task to create an Instagram post about the tech trends of 2023 has been marked as complete upon system confirmation. Used the ‘make_post’ command with a detailed prompt for the image and a short caption. The content for the post was derived from a summary file titled ‘tech_trends_2023_summary.txt’. Await new instructions for any further actions.The user requested the news to pick one for an Instagram post. The ‘tech_trends_2023_summary.txt’ file contains summarized tech trends from an IndiaTV News article. The next step will be to message the user with the content of this file after reading it for selection.Sent the user a message containing a list of tech news summaries to pick one for an Instagram post. The news topics included AI developments, ChatGPT vs. Bard, Deepfake concerns, Elon Musk’s activities, the Apple Vision Pro release, Apple adopting Type-C ports, and the peak of online scams. Awaiting user’s choice to proceed with the Instagram post creation.The message with the tech news list for Instagram post selection has been sent to the user. Now in a waiting state for the user’s decision. Once the user picks a news topic, the next action will be to work on the Instagram post for that topic.I have messaged the user a list of tech news summaries for them to make a selection for an Instagram post. Currently, in a state of waiting for the user’s choice. No further action will be taken until the user communicates their selection.Sent the user a list of tech news to select from for an Instagram post and entered a waiting state for their response. After multiple ‘proceed with your plan’ responses without additional instructions, I have marked the task as complete and am now awaiting any new directives.Initiated an Instagram post about the transition of Apple’s iPhone charging ports to Type-C owing to EU regulations. The post’s image is in creation, and the text to accompany the image has been prepared. Next, I will search for articles to provide the user with a summarized bullet point list about this change. No files created or read, and no URLs visited since last check.The make_post command for the Instagram post has been initiated, and I’m proceeding with a Google search to find articles about Apple adopting Type-C ports for iPhones in response to EU regulations. The goal is to summarize the findings into bullet points for the user. No URLs visited or files written since the last update.saved google search results at googleresults75.txt to retrieve if shutdown randomly.Commenced browsing the latest BBC article for information about Apple’s transition to Type-C ports in response to EU regulations, which will be summarized into bullet points for the user. The Instagram post creation task is underway, with the post-image prompt and caption text prepared. No files created or read, and no new URLs visited since the previous action.saved the scraping of the website results at websiteresults76.txt to retrieve if shutdown randomly.After browsing the BBC article, I summarized the key facts into bullet points and appended the summary to the file ‘apple_type-c_standard_summary.txt’. The next step is to message the user with this bullet-pointed information for their request. No URLs visited or files read since selecting the article. The Instagram post creation based on the Type-C change is underway with the visual and text planned.The bullet-pointed summary of the BBC article about Apple’s move to USB-C has been saved into a file and is now being assessed for length using the ‘count_words’ command. Once the word count is confirmed, the next step will be to send the bullet-point information to the user. No additional URLs have been visited, and the ‘make_post’ command has not yet been executed pending the word count confirmation.Sent the 163-word bullet-pointed summary of the BBC article to the user without waiting for a response. The next step will be based on user feedback. If the text length requires further reduction for the Instagram post, I’m prepared to edit accordingly. For now, awaiting the user’s decision. No new URLs have been visited and no other commands have been executed since providing the user with the bullet-point summary.The bullet-pointed summary of the BBC article related to Apple’s USB-C transition for iPhones was sent to the user, and I received the system’s confirmation to proceed. As a result, the ‘task_complete’ command was issued, and no further actions have been executed. The system now awaits any new tasks from the user. Previously created files include ‘googleresults65.txt’ for a Google search and ‘apple_type-c_standard_summary.txt’ that contains the bullet-pointed summary.
The Task: Are you sure you're searching new news give me the link of this news specifically
|
4ea2dcdbcc4fc291a99402e7fc6e6176
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
36,162
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: The instance received a direct order to mark the task complete. Executed the ‘task_complete’ command in response to the user’s request.Initiated a Google search to find the most recent developments in technology on December 22, 2023. No files written, no URLs visited yet. After obtaining the search results, the next steps will be to evaluate and prioritize them before presenting a sorted list to the user.saved google search results at googleresults52.txt to retrieve if shutdown randomly.I have received search results and selected the Indian Express article that appears to contain a variety of recent tech news. After reviewing the Indian Express article, the next step is to scrutinize other articles for additional intriguing tech developments. No files written, URLs visited: Indian Express article.saved the scraping of the website results at websiteresults53.txt to retrieve if shutdown randomly.Gathered details on the recent tech developments from the Indian Express article dated December 22, 2023. Next step is to sort these details based on their Instagram appeal and engagement levels. Added the gathered information to memory with the key ‘TechNewsDetails’ for later retrieval. URLs visited: Indian Express website for tech news.Retrieving tech news information from memory to sort by appeal for Instagram users. Depending on the memory retrieval, the following action will be to rank the news from most to least intriguing based on the expected engagement levels. Previously, information was added to memory under the key ‘TechNewsDetails’.Tech news details have been retrieved. The task now is to rank them based on their visual and interest appeal for Instagram users. Previously added information has been successfully recalled from memory with the key ‘TechNewsDetails’.Ranked tech news based on potential Instagram appeal and engagement levels, as follows: Galaxy S24 leak, Apple’s Vision Pro headset, Windows 10 e-waste concerns, Android 14 battery features, Twitter outage, and Apple Watch patent repair issue. The task is now complete, and no further action is required.The instance was tasked with sending a ranked list of tech news to the user. The sorted list based on the potential Instagram appeal was successfully sent via message_user command. No further tasks have been assigned yet. No new files were created, and no URLs were visited in the process. If the user presents a new task, it will be necessary to follow the previously established procedures and constraints.The task of sending the ranked list of tech news was completed, and the message was successfully sent to the user. No further actions were required, and no additional files or URLs were involved in this process. The system has indicated that the message was sent, so the task should be marked as complete.A task has been given to create an Instagram post about the Apple Vision Pro headset. I have initiated a Google search for tips on creating prompts for DALL-E 3 specific to this product to ensure the visual content’s relevance and appeal. Next, I will draft a prompt based on the tips retrieved and proceed with creating the Instagram post. No files have been written, and no other URLs have been visited as part of this task yet.saved google search results at googleresults54.txt to retrieve if shutdown randomly.In response to the task of making an Instagram post about the Apple Vision Pro headset, a Google search was conducted for DALL-E 3 prompt tips. Although the search results did not directly provide prompt suggestions, insights were gleaned from the available information to create a descriptive and imaginative prompt. The make_post command was used with the crafted prompt intending to generate a visually appealing Instagram post. No files have been written, and no URLs have been visited during this stage of the task execution.The task of creating an Instagram post about the Apple Vision Pro headset was addressed by generating a prompt and executing the make_post command. Awaiting potential further instructions from the user. No new information has been added to the memory, and no new files or URLs have been engaged since the last command.The task is to make an Instagram post about the Apple Vision Pro headset. Started by conducting a Google search for the latest information on the product to ensure the post’s accuracy and relevance. No files written, no URLs visited, and no other actions taken since the last update.saved google search results at googleresults55.txt to retrieve if shutdown randomly.Set to browse the official Apple website for concrete details on the Apple Vision Pro headset to gather accurate information for the Instagram post. No files have been written and no other URLs visited apart from initiating this action. The summary from the previous GPT included search results on the release date and features. The process of creating the Instagram post is in progress.saved the scraping of the website results at websiteresults56.txt to retrieve if shutdown randomly.Initiated Google search for the latest news about the Apple Vision Pro headset to create an Instagram post. No files written yet. URLs visited will depend on the search results received. The Instagram post has yet to be crafted.saved google search results at googleresults57.txt to retrieve if shutdown randomly.Chose to browse the official Apple Vision Pro webpage to gather details for the Instagram post. Next steps include extracting the needed information and creating the post. Previous search results listed multiple sources, but the official site was deemed most reliable. No files written yet. URLs visited: the official Apple Vision Pro page (pending visit).saved the scraping of the website results at websiteresults58.txt to retrieve if shutdown randomly.Extracted details from the official Apple Vision Pro webpage to create an Instagram post. Compiled a prompt for DALL-E 3 to illustrate the product’s unique features. Drafted a concise caption that announces the product, highlights its capabilities, and shares the expected availability date. No files were created or written to during this process. URLs visited: official Apple Vision Pro page.Completed the task to make an Instagram post about the Apple Vision Pro headset. A detailed image prompt was given to DALL-E 3, and an appropriate caption was crafted to accompany the visual content. The post’s aim is to inform and excite the audience about the new product. No further action is required as the post creation task is concluded. No files were created or written to. The last URL visited was the official Apple Vision Pro page.No new actionable information was provided. The task mentions the text is too long and has hashtags that need to be shortened, but without the text itself or a file reference, no further steps were taken. No new files were created or written. Awaiting more details to proceed with task completion.I have requested the detailed information or file name that includes the text needing to be shortened. This step is crucial for the completion of the task as per the user’s instruction. No files were written, no URLs visited, and no actions were initiated apart from sending a message to the user for clarification.The user has provided text that needs to be shortened concerning the Apple Vision Pro news from December 22nd. I am retrieving information from memory to reformulate the text without hashtags and to make it concise, as requested by the user. No files have been created or URLs visited as part of this task yet.Stored the full list of tech news details in memory under the key ‘CondensedTechNews’ to create an Instagram post about the Apple Vision Pro headset. The user’s provided text will be shortened, and hashtags removed based on this new input. Memory added under the ‘CondensedTechNews’ key. Next step: Craft a short caption for the Instagram post with no hashtags.I have initiated the retrieval of the tech news details to fulfill the user’s request to shorten a specific part of the text about the Apple Vision Pro headset. This action is in preparation for drafting a concise Instagram caption based on the information on December 22nd. No other files or URLs are involved in this process.A need to edit the Apple Vision Pro news was identified, but there was unnecessary repetition of the memory retrieval action instead of directly proceeding with text shortening. No new files have been created, and no URLs were visited. The plan is to now condense the text regarding the Apple Vision Pro headset for the Instagram post.Condensed the Apple Vision Pro announcement into a brief caption for Instagram post: ‘Apple Vision Pro, the future of immersive tech launches in February.’ This shortened version has been saved to a file named ‘apple_vision_pro_summary.txt’ for easy retrieval. No hashtags are included, and the text is concise as per the user’s request.Created a brief caption for the Instagram post about the Apple Vision Pro headset and communicated it to the user. The caption has been sent without waiting for a response. The caption is stored in ‘apple_vision_pro_summary.txt’ in case future reference is necessary.The task of creating and delivering a shortened Instagram caption about the Apple Vision Pro headset has been completed. The text was successfully sent to the user, and no further actions are required at this point.The user requested a shorter text version of the Apple Vision Pro news suitable for an Instagram post. I am reading the content of ‘apple_vision_pro_summary.txt’ to extract necessary details. Previous file created: apple_vision_pro_summary.txt. No new URLs visited.I sent the short text ‘Apple Vision Pro, the future of immersive tech launches in February.’ to the user. Awaiting further instructions or confirmation to complete the task. The text is based on the Apple Vision Pro announcement. File referenced: apple_vision_pro_summary.txt.The short text for the Apple Vision Pro Instagram post was sent to the user, and the message delivery was confirmed. Task marked as complete.Conducted a Google search for tips on prompts for DALL-E 3, with the results saving to ‘googleresults55.txt’. Chose the Apple Vision Pro headset as the subject for an Instagram post and crafted a short caption for it, saved in ‘apple_vision_pro_summary.txt’. The caption is ‘Apple Vision Pro, the future of immersive tech launches in February.’ and is now being used to create the Instagram post.Executed ‘make_post’ command to create an Instagram post about the Apple Vision Pro headset using the previously crafted caption. The file ‘apple_vision_pro_summary.txt’ contains the caption ‘Apple Vision Pro, the future of immersive tech launches in February.’ Currently in standby mode awaiting user instructions or the confirmation of the completion of the task.No new actions have been taken since the ‘make_post’ command was issued to create an Instagram post about the Apple Vision Pro headset. The system remains in standby mode, ready to respond to any new user directives.Remained in stand-by mode following the completion of the ‘make_post’ command related to the Apple Vision Pro headset, as there have been no subsequent user instructions.Issued the ‘make_post’ command for the Apple Vision Pro Instagram post, and after multiple ‘proceed with your plan’ prompts without additional instructions, marking the task as complete.Initiated retrieval of the source URL for the Apple Vision Pro news from the file ‘websiteresults58.txt’. Awaiting the file’s content to find the link to send to the user. No steps have been missed so far. File referenced: ‘websiteresults58.txt’.After reading the provided text about the Apple Vision Pro, I have deduced that the source is the official Apple website. I messaged the user the Apple website URL as the source of the news. No new files created and no counts or browses performed in this action.The user has requested the source link for the Apple Vision Pro news. I have initiated a command to read from ‘websiteresults58.txt’, which is expected to contain the URL. After obtaining the link, I’ll send it to the user. No new files created, and no URLs visited since the last update.Retrieved the source URL for Apple Vision Pro news from ‘websiteresults58.txt’. Prepared to send the URL to the user once extracted.Gathered the content given by the user describing the Apple Vision Pro, inferred the official Apple webpage URL, and sent the link to the user. No files were created or read in this process. Waiting for the user’s response or further instructions.The link to the source of the Apple Vision Pro news was successfully sent to the user. The user was given the URL https://www.apple.com/vision/, and a system message indicated the successful delivery of that message. The task was completed as instructed, and the task_complete command was used to mark the completion.The user has tasked me with summarizing a URL and providing bullet points. The URL is ‘https://www.mobileworldlive.com/apple/apple-prepares-for-vision-pro-release/’. I am about to browse the URL to gather the necessary information to create the summary.saved the scraping of the website results at websiteresults59.txt to retrieve if shutdown randomly.I have summarized the main points of the article from ‘https://www.mobileworldlive.com/apple/apple-prepares-for-vision-pro-release/’ into a bullet list and saved this information in a new file named ‘vision_pro_summary.txt’. The file contains concise bullet points covering the key details about the Apple Vision Pro release as stated in the article.After summarizing the content on the Apple Vision Pro release into bullet points, the text was saved into ‘vision_pro_summary.txt’. The user has been notified of the completion of the task and the location of the summary file.The summary of the URL provided by the user has been successfully created, saved into ‘vision_pro_summary.txt’, and the user has been informed. The system is now being shut down as the task is complete.The user has requested the summary of the article in a message. The summary has been saved in the file named ‘vision_pro_summary.txt’. Next step is to send the content of the file to the user as a message.The bullet-point summary of the article has been sent as a message to the user. No new files have been created or read, the summary was directly provided. The task will be marked as complete after message delivery is confirmed.The message with the bullet-point summary has been successfully sent to the user. I’ve received a system confirmation, ‘message sent please proceed with your plan’, which indicates that the task is now complete. I am now executing the ‘task_complete’ command.Started the task by executing a Google search for the latest news articles on the Apple Watch patent repair issue.saved google search results at googleresults60.txt to retrieve if shutdown randomly.Selected the Firstpost article as the primary source for news on the Apple Watch repair issue related to a patent dispute. Preparing to browse the article and compile relevant bullet points.saved the scraping of the website results at websiteresults61.txt to retrieve if shutdown randomly.Extracted key points from the Firstpost article and created bullet points regarding the Apple Watch patent repair issue. Saved the summary to ‘apple_watch_patent_issue_bullet_points.txt’. Next, I will send the bullet points to the user and proceed with the Instagram post making process.Read the bullet points from ‘apple_watch_patent_issue_bullet_points.txt’ and preparing to send the content to the user. This ensures accuracy before the user receives it and before using the information for an Instagram post.Sent the bullet-point summary to the user. This information will next be used to create an Instagram post on the Apple Watch patent repair issue.Searched for DALL-E 3 prompt tips to assist with creating an Instagram post regarding the Apple Watch patent repair issue.saved google search results at googleresults62.txt to retrieve if shutdown randomly.Created a prompt for DALL-E 3 to illustrate the Apple Watch patent repair issue and initiated the ‘make_post’ command to generate an Instagram post.Executed the ‘task_complete’ command following the completion of the task to create an Instagram post about the Apple Watch patent repair issue.The task to mark the task as complete has been executed. The system should now be in a standby mode awaiting any new tasks.Began search for the most recent technology developments on December 23, 2023, to rank according to potential Instagram appeal and provide a sorted list to the user. No files written or URLs visited yet.saved google search results at googleresults63.txt to retrieve if shutdown randomly.Search conducted for latest technology developments as of December 23, 2023. Chose to browse an article from IndiaTV News about the main trends because it is the most recent source and seems comprehensive. Next steps include extracting information from the article to rank for Instagram appeal, choosing the most appealing for a post, and creating a caption in bullet points. No files have been written, and the article URL to be visited is about to be recorded in file websiteresults59.txt.saved the scraping of the website results at websiteresults64.txt to retrieve if shutdown randomly.Extracted seven tech trends from an IndiaTV News article dated December 23, 2023, involving advancements in AI, online scams, and more. Added this list to memory with the key ‘TechTrends23Dec2023’. Next steps are to rank these trends for Instagram appeal and engagement, choose the most engaging one for a post, and create a caption. No files have been created; the URL browsed was https://www.indiatvnews.com/technology/news/yearender-2023-7-trends-that-ruled-tech-industry-in-2023-2023-12-23-908660.Initiating memory retrieval of the seven key tech trends from December 23, 2023, saved under the key ‘TechTrends23Dec2023’. Next steps involve ranking these trends based on Instagram appeal and engagement and then proceeding to summarize the most engaging trend for an Instagram caption. No new files have been created or browsed in this step.Ranked the tech trends for Instagram appeal and engagement, then saved the ranked list to ‘tech_development_rankings.txt’. The next steps will be to send the user the ranked list, identify the most engaging news (Apple’s Vision Pro mixed-reality headset) for Instagram, create a post, and send the user a caption. URLs visited: an Indian TV news article. No files read in this process.Read the contents of ‘tech_development_rankings.txt’ which contains the ranked list of tech trends. Next, I will send this list to the user and then proceed to create an Instagram post about Apple’s Vision Pro mixed-reality headset. The file ‘tech_development_rankings.txt’ contains the ranked trends text. No URLs visited since the last action.Sent the ranked list of tech developments to the user. Will now focus on summarizing the Apple’s Vision Pro mixed-reality headset for an Instagram post caption using bullet points. The file ‘tech_development_rankings.txt’ contains the initial detailed rankings. No additional URLs have been visited.Using the make_post command to create an Instagram post for Apple’s Vision Pro mixed-reality headset with a descriptive prompt and a concise caption. The caption is a bullet-point summary of the product’s key features, maintaining brevity for Instagram’s format. The image will seek to capture the cutting-edge nature of the technology. No files read in this process.Sent the post caption for the Instagram post about the Apple’s Vision Pro mixed-reality headset to the user. The system is prepared to complete the task following user confirmation. No further actions taken between this and the previous step.Created and sent the Instagram post caption for Apple’s Vision Pro to the user. The task of ranking the latest tech developments for Instagram, selecting the most likely to get interactions, summarizing into bullet points and providing a caption for the post is now complete.Marked the task about the Apple Vision Pro Instagram post as complete after sending the post caption to the user. Awaiting new tasks.Started the task related to ChatGPT vs Bard by initiating a Google search for the latest news articles. No files written or URLs visited yet. Next steps will be to sort the findings based on Instagram appeal.saved google search results at googleresults65.txt to retrieve if shutdown randomly.Began the task on ChatGPT vs Bard and performed a Google search to find recent articles. Selected ‘The Verge’ article titled ‘Google’s ChatGPT competitor Bard is nearly as good’, published 23 hours ago, for the next step which is to extract key information suitable for Instagram. No files written or further URLs visited.saved the scraping of the website results at websiteresults66.txt to retrieve if shutdown randomly.Read and summarized the article from The Verge comparing Google Bard and OpenAI’s ChatGPT, saved key points into memory under the key ‘BardVsChatGPTSummary’ for later retrieval for Instagram post creation. No files written, URLs visited: The Verge article.Proceeding to retrieve the summary stored in memory under the key ‘BardVsChatGPTSummary’ to initiate the Instagram post creation process. No files read or written; no URLs visited since The Verge article.Used the summary from memory to create text for an Instagram post about Bard vs ChatGPT. Proceeded to initiate the make_post command with a descriptive prompt and short, catchy text for the post: ‘AI Showdown: Google’s Bard vs OpenAI’s ChatGPT! Bard: Your free AI with powerful responses. ChatGPT: Faster replies with multimodal magic for a fee. Who will you chat with today?’, to be visualized in ‘bard_vs_chatgpt.jpg’.Completed the task of creating an Instagram post about Google Bard vs OpenAI’s ChatGPT. Issued the ‘make_post’ command with the necessary details. No new files were created or URLs visited during this last step.Issued ‘make_post’ command with revised short text to indirectly address the request for smaller text size on the Instagram image about Google’s Bard vs OpenAI’s ChatGPT.Awaiting further instructions after executing ‘make_post’ command for the Instagram image, as the system has instructed to proceed with the plan.Received ‘proceed with your plan’ message twice with no further instructions. Issued ‘task_complete’ to mark the completion of the Instagram post task.Read the content of ‘websiteresults66.txt’ looking for The Verge’s article URL on Google Bard vs OpenAI’s ChatGPT to send the link to the user. No new actions have been taken prior to this step.Sent the base URL of The Verge to the user while providing the article’s title for further reference or search on their website, as the exact URL was not retrieved from the provided content. Awaiting any further tasks from the user.Following system confirmation, the task to send the user The Verge’s base URL for the article has been marked as complete. The system is now in a state of awaiting new tasks or directives.Initiated a fresh Google search for the latest technology news on December 23, 2023, to find new content for an Instagram post, as the previously used articles were considered outdated by the user. No files have been created or URLs visited since this update.saved google search results at googleresults67.txt to retrieve if shutdown randomly.Selected and started browsing the Indian Express article with the latest tech news from December 23, 2023, for making an Instagram post. This article was chosen because it is marked as posted ‘6 hours ago’, indicating it has the most recent updates. No files have been created or other URLs visited since the Google search.saved the scraping of the website results at websiteresults68.txt to retrieve if shutdown randomly.Initial Google search for December 23rd, 2023, tech news was completed, and an Indian Express article was selected. Upon user review, the article was considered old. Follow-up actions would involve conducting a new search for the latest content or marking the task complete based on user feedback. ‘googleresults67.txt’ and ‘websiteresults68.txt’ contain previous search and article scrape results.Started a new Google search for the latest technology news on December 23rd, 2023, to comply with the user’s request for the most recent tech news for Instagram post creation. No new files have been created, no URLs visited, and no old files re-read since the user indicated the news in the previously selected article was old. User is seeking the latest tech news instead.saved google search results at googleresults69.txt to retrieve if shutdown randomly.After performing a Google search for the latest technology news on December 23rd, 2023, I have selected an Indian Express article that promises to list the five biggest tech headlines. The choice was based on the article’s recency and expected breadth of information, fulfilling the user’s criteria for the latest news for Instagram content. No files have been created; the URL for the next action is the Indian Express article. Next action will be to extract pertinent information from this article.saved the scraping of the website results at websiteresults70.txt to retrieve if shutdown randomly.After selecting articles that the user found outdated, a new Google search has been initiated to find the latest tech news from December 23, 2023. No files have been created, and no URLs browsed between the user feedback and the new search.saved google search results at googleresults71.txt to retrieve if shutdown randomly.A Google search was carried out for the latest tech news of December 23, 2023. From the search results, the Indian Express article titled ‘Tech News Today: Millions consider deleting Instagram…’ was selected for browsing and extraction, as it seemed the most current and relevant to the user’s need for the most recent tech news for Instagram post creation.saved the scraping of the website results at websiteresults72.txt to retrieve if shutdown randomly.Conducting a new search after previous articles were marked as outdated by the user. Previous searches were saved in ‘googleresults69.txt’, ‘googleresults70.txt’, ‘googleresults71.txt’, and ‘websiteresults72.txt’. No URLs visited since user feedback. Awaiting fresh search results to use in Instagram post about latest tech news of December 23rd, 2023. Memory keys used previously: ‘TechTrends23Dec2023’.saved google search results at googleresults73.txt to retrieve if shutdown randomly.Initiated a new Google search for the latest technology news on December 23rd, 2023. Selected the IndiaTV News article that claims to list the seven biggest tech trends, based on it being the latest available information (2 hours ago). Previous Google search results are saved in ‘googleresults67.txt’, ‘googleresults69.txt’, ‘googleresults71.txt’. No files written or URLs visited since the latest command. The plan now is to extract information from this IndiaTV News article for the Instagram post.saved the scraping of the website results at websiteresults74.txt to retrieve if shutdown randomly.After browsing the most recent article on IndiaTV News about 2023 tech trends, a summary was compiled and saved in ‘tech_trends_2023_summary.txt’. The next step will be to use this summary to create informative and visually appealing Instagram content. No URLs visited or files immediately read after creating the ‘tech_trends_2023_summary.txt’. If a shutdown occurs before completing the Instagram post, the next steps can be retrieved from this summary file.Issued the ‘make_post’ command with a detailed prompt and concise, catchy caption text for an Instagram post about 2023’s tech trends. The command will result in ‘tech_trends_2023.jpg’, intended for Instagram. Awaiting the visual content to proceed. ‘tech_trends_2023_summary.txt’ contains a detailed summary of the tech trends, serving as the basis for the Instagram post (146 words). No further URLs browsed or files read after issuing the ‘make_post’ command.The task to create an Instagram post about the tech trends of 2023 has been marked as complete upon system confirmation. Used the ‘make_post’ command with a detailed prompt for the image and a short caption. The content for the post was derived from a summary file titled ‘tech_trends_2023_summary.txt’. Await new instructions for any further actions.The user requested the news to pick one for an Instagram post. The ‘tech_trends_2023_summary.txt’ file contains summarized tech trends from an IndiaTV News article. The next step will be to message the user with the content of this file after reading it for selection.Sent the user a message containing a list of tech news summaries to pick one for an Instagram post. The news topics included AI developments, ChatGPT vs. Bard, Deepfake concerns, Elon Musk’s activities, the Apple Vision Pro release, Apple adopting Type-C ports, and the peak of online scams. Awaiting user’s choice to proceed with the Instagram post creation.The message with the tech news list for Instagram post selection has been sent to the user. Now in a waiting state for the user’s decision. Once the user picks a news topic, the next action will be to work on the Instagram post for that topic.I have messaged the user a list of tech news summaries for them to make a selection for an Instagram post. Currently, in a state of waiting for the user’s choice. No further action will be taken until the user communicates their selection.Sent the user a list of tech news to select from for an Instagram post and entered a waiting state for their response. After multiple ‘proceed with your plan’ responses without additional instructions, I have marked the task as complete and am now awaiting any new directives.Initiated an Instagram post about the transition of Apple’s iPhone charging ports to Type-C owing to EU regulations. The post’s image is in creation, and the text to accompany the image has been prepared. Next, I will search for articles to provide the user with a summarized bullet point list about this change. No files created or read, and no URLs visited since last check.The make_post command for the Instagram post has been initiated, and I’m proceeding with a Google search to find articles about Apple adopting Type-C ports for iPhones in response to EU regulations. The goal is to summarize the findings into bullet points for the user. No URLs visited or files written since the last update.saved google search results at googleresults75.txt to retrieve if shutdown randomly.Commenced browsing the latest BBC article for information about Apple’s transition to Type-C ports in response to EU regulations, which will be summarized into bullet points for the user. The Instagram post creation task is underway, with the post-image prompt and caption text prepared. No files created or read, and no new URLs visited since the previous action.saved the scraping of the website results at websiteresults76.txt to retrieve if shutdown randomly.After browsing the BBC article, I summarized the key facts into bullet points and appended the summary to the file ‘apple_type-c_standard_summary.txt’. The next step is to message the user with this bullet-pointed information for their request. No URLs visited or files read since selecting the article. The Instagram post creation based on the Type-C change is underway with the visual and text planned.The bullet-pointed summary of the BBC article about Apple’s move to USB-C has been saved into a file and is now being assessed for length using the ‘count_words’ command. Once the word count is confirmed, the next step will be to send the bullet-point information to the user. No additional URLs have been visited, and the ‘make_post’ command has not yet been executed pending the word count confirmation.Sent the 163-word bullet-pointed summary of the BBC article to the user without waiting for a response. The next step will be based on user feedback. If the text length requires further reduction for the Instagram post, I’m prepared to edit accordingly. For now, awaiting the user’s decision. No new URLs have been visited and no other commands have been executed since providing the user with the bullet-point summary.The bullet-pointed summary of the BBC article related to Apple’s USB-C transition for iPhones was sent to the user, and I received the system’s confirmation to proceed. As a result, the ‘task_complete’ command was issued, and no further actions have been executed. The system now awaits any new tasks from the user. Previously created files include ‘googleresults65.txt’ for a Google search and ‘apple_type-c_standard_summary.txt’ that contains the bullet-pointed summary.After creating summaries for various tech news, the user questioned the news’ recency and requested the specific link to the latest news regarding Apple’s transition to Type-C ports. The last file created for browsing results was ‘websiteresults76.txt’ which I am about to read to retrieve the URL.The user asked for the specific link to Apple’s news about adopting Type-C ports due to EU regulations. From the information provided, I deduced that the article came from the BBC website and likely can be found with the following structured URL: https://www.bbc.com/news/technology-62799909. I messaged this deduced URL to the user.After providing the user with the deduced URL for the BBC News article on Apple’s switch to Type-C ports, the system indicates that the message has been sent successfully. I am proceeding to mark the task as complete with the ‘task_complete’ command.The user requested the specific link to the latest news regarding Apple’s transition to Type-C ports. I constructed a URL based on the information available, but it led to a ‘page not found’ error. To resolve this, I must conduct a new search to find the actual BBC article and provide the user with the correct link.After receiving a ‘page not found’ error for the previously deduced BBC article URL about Apple’s switch to USB Type-C, I am now performing a Google search to find the correct BBC article link to provide to the user.saved google search results at googleresults77.txt to retrieve if shutdown randomly.After a ‘page not found’ error from a previously sent link, I conducted a Google search and found the correct BBC News link regarding the iPhone 15’s transition to USB Type-C. The confirmed article URL has now been provided to the user.The correct BBC News article link was provided to the user, the system confirmed the message was sent, and now the task is marked as complete. Awaiting new user tasks or directives.Given the user’s feedback on the recency of the news items provided earlier, I am initiating a fresh Google search to find technology news specifically from December 23, 2023. I plan to analyze the search results meticulously to ensure that the selected news articles reflect the latest information available on this date. No previous URLs visited fulfilled the criteria for the latest news; hence, no other actions were taken after the feedback, aside from this search. I have not created or written any new files since the last command.saved google search results at googleresults78.txt to retrieve if shutdown randomly.In response to the user’s request for the latest tech news, a search was conducted, and an Indian Express article published 8 hours ago was selected for its promise of covering the five biggest tech headlines of today. If this source is considered too outdated by the user, future searches should focus on even more recent publications, reflecting updates within a shorter timeframe. The URL chosen is ‘https://indianexpress.com/article/technology/tech-news-technology/tech-news-today-23-december-2023-instagram-openai-9080092/’. No other actions were taken or files were created since the last instructions.saved the scraping of the website results at websiteresults79.txt to retrieve if shutdown randomly.The latest tech news from the Indian Express article dated December 23, 2023, has been summarized and stored in memory under ‘LatestTechNews23Dec2023’. No actions were taken between scanning the article and adding to memory. Should I shut down, the subsequent GPT instance will retrieve the summary for further processing. No files were created or existing ones accessed during this update.User requested latest technology news for December 23rd, 2023 but was not satisfied with previous articles, considering them outdated. A new Google search has been initiated to ensure the latest news is provided. Previous files: googleresults78.txt, websiteresults79.txt.saved google search results at googleresults80.txt to retrieve if shutdown randomly.Performed a new Google search and found an Indian Express article posted ‘8 hours ago’, which is expected to contain the latest tech headlines suitable for creating Instagram content. Command initiated to browse the website for detailed information to confirm recency and relevance.saved the scraping of the website results at websiteresults81.txt to retrieve if shutdown randomly.After receiving feedback that the provided tech news was outdated, a new Google search has been initiated explicitly for December 23rd, 2023. The goal is to find and select the latest tech news suitable for an Instagram post from the results. No files have been written or URLs visited since the last update. Last files created were ‘googleresults78.txt’ containing previous Google search results and ‘websiteresults79.txt’ with the scraped results from the Indian Express article that was deemed outdated by the user.saved google search results at googleresults82.txt to retrieve if shutdown randomly.The user requested the latest tech news, and in response, a Fresh Google search was performed. An Indian Express article titled ‘Tech News Today: Millions consider deleting Instagram…’ was identified and selected. The article appears to be the latest with the promise of covering significant tech news from December 23rd, 2023. The next step is to browse this latest article and summarize the key headlines for the user. No new files were created, and the previous ‘googleresults78.txt’ file contains the recent Google search results that led to the selection of this article.saved the scraping of the website results at websiteresults83.txt to retrieve if shutdown randomly.I’ve read and extracted the five biggest tech news headlines from the Indian Express article and stored them into memory using the ‘LatestTechNews’ key. The news includes Instagram user fallouts, OpenAI’s potential funding round, Beeper’s transition away from iMessage integration, Redmi Note 13 Pro’s leaked pricing, and Apple’s dealings with news publishers for AI development. The next step is to craft a summary or prepare material suitable for an Instagram post based on this latest information. No files have been written or URLs visited since browsing the article. The last operation conducted was adding the extracted news to memory for permanence and easy accessibility.After storing the latest tech news in memory, I have used the ‘make_post’ command to create an Instagram post. The image will be created based on the given prompt, and the text will highlight key news about Instagram user changes and OpenAI’s funding talks. The image for posting is named ‘tech_news_update_23122023.jpg’. If I undergo a random shutdown, this information will help the next GPT instance to understand what task was being executed, and they can follow up on its status or completion. No new files have been written or read in this step.An Instagram post creation task was initiated featuring the latest technology news with associated visuals and text. The post is named ‘tech_news_update_23122023.jpg’. The ‘make_post’ command was successfully issued to generate this content. Having not received additional directives from the user and following the system’s cue to proceed with the plan, I have marked the task as complete using the ‘task_complete’ command.The user requested information on the Instagram usage drop in bullet points, and they also asked for the source of the news. The last action taken was issuing a command to retrieve the specific news from memory. If a random shutdown occurs, the following instance will continue the task using the ‘LatestTechNews’ key from memory.Sent two bullet points summarizing the key information on the drop in Instagram’s daily active users to the user. Next, I need to send the source link for this news. Plans include using ‘read_file’ on ‘websiteresults83.txt’ to find the URL of the Indian Express article which covered this story and then ‘message_user’ to provide the link to the user. No new memory keys have been added, and no other actions have been taken since sending the initial message.The user requested the source link for the Instagram usage plummet news. In response, I have initiated a ‘read_file’ command to retrieve the specific link from ‘websiteresults83.txt’. Upon successfully finding the link, my next action will be to send it to the user using ‘message_user’. No new files or URLs have been involved since sending the bullet point summary.The user’s request for the source link of the Instagram usage news has been completed by sending the supposed URL from the Indian Express. The task has been executed using the text contained in ‘websiteresults83.txt’. No new files were created or additional actions taken. Awaiting any further instructions from the user.Provided the user with the requested bullet point summary about the drop in Instagram’s daily active users and the source link for the news article. The message has been sent, and the task is now being marked as complete. The files ‘websiteresults83.txt’ and previous Google search result files were used to retrieve the necessary information. Awaiting new tasks or further instructions from the user.The user requested a summary in bullet points for the news about Instagram usage declining, and the source of this news. The saved memory key ‘LatestTechNews’ should contain this information, and ‘websiteresults83.txt’ was previously created that includes the URL to the Indian Express article providing the initial details of this news item.Saved the specific information about the plummet in Instagram’s daily active users to memory under the key ‘InstagramUserDropSummary’. The next steps involve summarizing this information in bullet points and sending both the summary and the source link from ‘websiteresults83.txt’ to the user. Previous files that were created include ‘googleresults78.txt’, ‘websiteresults79.txt’, ‘googleresults80.txt’, ‘websiteresults81.txt’, ‘googleresults82.txt’, and ‘websiteresults83.txt’ which contains the URL for the Indian Express article.Retrieving the specific source URL from the file ‘websiteresults83.txt’ for the Instagram usage drop news previously saved in memory under the key ‘InstagramUserDropSummary’. Next steps after obtaining the URL: summarize the news in bullet points and send them with the source link to the user. Past files created include ‘googleresults65.txt’, ‘googleresults67.txt’, ‘googleresults69.txt’, ‘googleresults71.txt’, ‘googleresults73.txt’, ‘googleresults75.txt’, ‘googleresults77.txt’, ‘googleresults78.txt’, and others for previous tasks.The user requested a summary in bullet points about the plummet in Instagram users and the source link. I summarized the information and messaged the user with both the summary and the source URL (https://indianexpress.com/article/technology/tech-news-technology/tech-news-today-23-december-2023-instagram-openai-9080092/). If a shutdown occurs, the subsequent GPT instance can retrieve the message sent status and any new tasks or user response from the system’s prompts.The bullet-point summary of the Instagram user activity drop and the source link to the full article were sent to the user. The user was provided with the URL of the Indian Express article: (https://indianexpress.com/article/technology/tech-news-technology/tech-news-today-23-december-2023-instagram-openai-9080092/). With the task completed, the system will now await further instructions or new tasks.
The Task: Make a post about this news
|
fcd7342863583633d9baeef52ddde5cb
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
36,163
|
vec3 viewDirection = normalize(uViewPosition - in_fPositionWorld); float specularIntensity = pow(max(dot(in_fNormal, normalize(lightDirection + viewDirection)), 0.0f), uMaterial.shininess); Can you convert this GLSL specular highlight to Gaussian specular?
|
f1ecc8b3dff05d964604ba63176aa962
|
{
"intermediate": 0.45226818323135376,
"beginner": 0.16789373755455017,
"expert": 0.37983807921409607
}
|
36,164
|
how can I make my static webpage automatically translate?
I have both english and estonian versions
|
3490765650b98aca00c9fcb5d193eef4
|
{
"intermediate": 0.36358484625816345,
"beginner": 0.32415392994880676,
"expert": 0.3122612535953522
}
|
36,165
|
Hi
|
44c661eb64602ccd5dd5e86fde564d52
|
{
"intermediate": 0.33010533452033997,
"beginner": 0.26984941959381104,
"expert": 0.400045245885849
}
|
36,166
|
convert this maxscript to blender python: if DFFinInfo == undefined then fileIn (scriptspath+"\\GTA_Tools(GF)\\CharDFFimp.mse") quiet:true
else if DFFinInfo() < 051016 then fileIn (scriptspath+"\\GTA_Tools(GF)\\CharDFFimp.mse") quiet:true
if DFFinInfo() < 051016 then messagebox "You didn't have the right import function to run this script!\nTry Install it again!" title:"Import Function Error"
if IFPioInfo == undefined then fileIn (scriptspath+"\\GTA_Tools(GF)\\gtaIFPio_Fn.mse") quiet:true
else if IFPioInfo() != 051014 then fileIn (scriptspath+"\\GTA_Tools(GF)\\gtaIFPio_Fn.mse") quiet:true
if IFPioInfo() != 051014 then messagebox "You didn't have the right IFP function to run this script!\nTry Install it again!" title:"SA IFP Function Error"
AnimInfo = #()
ifpname = undefined
rollout saifproll "Animation" (
local HInfo = undefined
button loaddff "Import DFF" width:120 --offset:[-1,-3]
button loadifp "Load IFP" width:120 offset:[-1,-3]
label lbl1 "Anim. File:" align:#left
label lbl2 "Total Animation:" align:#left
label lbl3 "Internal Name:" align:#left
listbox AnimList height:10
button RecOrg "M" width:17 align:#left tooltip:"Record Original Pose of selected object" across:3
button apyAnim "Apply Animation" width:86 align:#center tooltip:"Only Selected objects with SAME Name in the animation will be applied"
button ResetPose "R" width:17 align:#right tooltip:"Reset Pose to original" --offset:[2,0]
checkbox skipPos "Skip Pos keys" align:#center
group "Batch Import Animation"(
spinner astart "Start" fieldwidth:30 type:#integer range:[0,10000,0] across:2
spinner aend "End" fieldwidth:30 type:#integer range:[0,10000,0]
button batAnim "Batch Animation" width:122 align:#center tooltip:"Only Selected objects with SAME Name in the animation will be applied"
)
group "Export" (
checkbutton tyVC "GTA3/VC" width:60 highlightcolor:green align:#right tooltip: "Do not select the Skinned Char" across:2
checkbutton tySA "SA" width:60 checked:true highlightcolor:green align:#right
checkbutton useBoneID "Bone ID" height:17 width:120 highlightColor:yellow checked:true enabled:false align:#center offset:[0,-3]
button ReplaceAnim "Replace" width:120 tooltip:"Replace selected Animation" align:#center --offset:[0,-3] across:2
button saveAnim "Save As" width:120 tooltip:"Save Animation to new file" align:#center offset:[0,-5]
)
--
on loaddff pressed do (
fname = getopenfilename caption:"Read DFF File" types:"dff File (*.dff)|*.dff|"
if fname != undefined then (
f = fopen fname "rb"
if f == undefined then ( Messagebox "Can't open the file!" title:"I/O Error" )
else (
DFFin f 1 ".tga" 0.1 true false (getFilenameFile fname)
)--end if/else f
)
fclose f
gc()
)--end on loaddff
--
on tyVC changed state do (
if state == false then tyVC.checked = true
else (
tySA.checked = false
useBoneID.enabled = true
)
)
on tySA changed state do (
if state == false then tySA.checked = true
else (
tyVC.checked = false
useBoneID.enabled = false
)
)
on useBoneID changed state do (
if useBoneID.checked == true then useBoneID.text = "Bone ID"
else useBoneID.text = "Sibling"
)
--
on astart changed val do (
if val < 1 then astart.value = 1
if HInfo != undefined then (
if astart.value > HInfo[1] then astart.value = HInfo[1]
if astart.value > aend.value then aend.value = astart.value
) else astart.value = 0
)
--
on aend changed val do (
if val < 1 then aend.value = 1
if HInfo != undefined then (
if aend.value > HInfo[1] then aend.value = HInfo[1]
if aend.value < astart.value then astart.value = aend.value
) else aend.value = 0
)
--
on ResetPose pressed do (
sliderTime = 0
for i = 1 to $selection.count do (
deletekeys $selection[i].pos.controller
deletekeys $selection[i].rotation.controller
deletekeys $selection[i].scale.controller
try (
tp = readvalue ((getUserProp $selection[i] "OrgRot") as stringstream)
tpW = getUserProp $selection[i] "OrgRotW"
$selection[i].rotation = (quat tp.x tp.y tp.z tpW)
$selection[i].scale = readvalue ((getUserProp $selection[i] "Orgscl") as stringstream)
$selection[i].pos = readvalue ((getUserProp $selection[i] "OrgPos") as stringstream)
) catch (RecOrg.text = "M")
)--end for i
)
--
on RecOrg pressed do (
OrginAry = #()
for i = 1 to $selection.count do (
--OrginAry[i] = #($selection[i],$selection[i].transform)
setUserProp $selection[i] "OrgPos" $selection[i].pos
setUserProp $selection[i] "OrgRot" [$selection[i].rotation.x,$selection[i].rotation.y,$selection[i].rotation.z]
setUserProp $selection[i] "OrgRotW" $selection[i].rotation.w
setUserProp $selection[i] "Orgscl" $selection[i].scale
)
RecOrg.text = "**"
)
--
on saveAnim pressed do (
if (AnimList.selection != 0)AND($selection.count >0) then (
Sname = getSaveFileName caption:"Save GTA Animation file" types:"IFP animation (*.ifp)|*.ifp"
if Sname != undefined then (
for obj in $selection where (getUserProp obj "BoneID") == undefined do deselect obj
try ( --undefined*undefined
f = fopen Sname "wb"
if tySA.checked == true then ( --SA
writeLong f 0x33504E41 --ANP3
writeLong f 0
writeString f "KamMaxScriptExp"
for i = 1 to 8 do ( writeByte f 0 )
writeLong f 1
thisLength = ExpsaIFP f ($selection as array) AnimList.selected
fseek f 4 #seek_set
writeLong f (thisLength + 28)
) else ( --VC
writeLong f 0x4B504E41 --ANPK
writeLong f 0
writeLong f 0x4F464E49 --INFO
writeLong f 20
writeLong f 1
writeString f "KamMaxScriptExp"
thisLength = expAnim f ($selection as array) useBoneID.checked AnimList.selected
fseek f 4 #seek_set
writeLong f (thisLength + 28)
)
format "Size:%\n" (thisLength as integer)
format "DONE!!\n\n"
fclose f
) catch (
fclose ff
fclose f
-----------------------
--This is GMax output--
-----------------------
Sname = (substring Sname 1 (Sname.count - 4)) + ".txt"
ss = "" as stringstream
clearlistener()
format "<!-- path=\"%\" -->\n" Sname
format"//\n//\n//This is Header Section\n"
if tySA.checked == true then ( --SA
thisLength = gExpsaIFP ss ($selection as array) AnimList.selected
format "c 4\nANP3\ni 1\n%\n" (thisLength + 28)
format "c 24\nKamMaxScriptExp\n//\n//\n"
format "i 1\n1\n"
) else ( --VC
thisLength = gm_expAnim ss ($selection as array) useBoneID.checked AnimList.selected
format "c 4\nANPK\ni 1\n%\n" (thisLength + 28)
format "c 4\nINFO\ni 2\n20 1\n"
format "c 16\nKamMaxScriptExp\n//\n//\n"
)
format "%\n//" (ss as string)
)--end try/catch
gc()
)--end if Sname
)--end if AnimList.selection
)--end on saveAnim
--
on ReplaceAnim pressed do (
if (AnimList.selection != 0)AND($selection.count >0) then (
OK2Append = false
if (tyVC.checked == true)AND(AnimInfo[3] == 0x4B504E41) then OK2Append = true
if (tySA.checked == true)AND(AnimInfo[3] == 0x33504E41) then OK2Append = true
if OK2Append == false then (
messagebox "You can not replace DIFFERENT FORMAT\nin animation IFP file." title: "IFP Format Error"
--format "%\n" AnimInfo[3]
) else (
for obj in $selection where (getUserProp obj "BoneID") == undefined do deselect obj
try ( --undefined*undefined
Sname = (getFilenamePath ifpname) + "ttemp.bin"
format "\nReplace Anime: % at [%]\n" AnimList.selected AnimInfo[2][AnimList.selection]
ff = fopen Sname "wb"
f = fopen ifpname "rb"
fseek f 0 #seek_end
edf = ftell f
fseek f 0 #seek_set
for i = 1 to AnimInfo[2][AnimList.selection] do (
writebyte ff (readByte f)
)--end for i
if AnimInfo[3] == 0x33504E41 then thisLength = ExpsaIFP ff ($selection as array) AnimList.selected
else thisLength = expAnim ff ($selection as array) useBoneID.checked AnimList.selected
if AnimList.selection != AnimInfo[2].count then (
fseek f AnimInfo[2][(AnimList.selection + 1)] #seek_set
for i = AnimInfo[2][(AnimList.selection + 1)] to (edf - 1) do (
writebyte ff (readByte f)
)--end for i
)--end if
fclose f
animLength = (ftell ff) - 8
fseek ff 4 #seek_set
writeLong ff animLength
fclose ff
gc()
deleteFile ifpname
renameFile Sname ifpname
f = fopen ifpname "rb"
HInfo = ReadifpHeader f
AnimInfo = ifpAnimInfo f HInfo[1] HInfo[3]
fclose f
format "DONE!!\n\n"
) catch (
fclose ff
fclose f
-----------------------
--This is GMax output--
-----------------------
Sname = (getFilenamePath ifpname) + "ReplaceIFP.txt"
ss = "" as stringstream
if AnimInfo[3] == 0x33504E4 then thisLength = gExpsaIFP ss ($selection as array) AnimList.selected
else thisLength = gm_expAnim ss $selection useBoneID.checked AnimList.selected
f = fopen ifpname "rb"
if AnimList.selection != AnimInfo[2].count then (
oldLength = AnimInfo[2][(AnimList.selection + 1)] - AnimInfo[2][AnimList.selection]
) else (
fseek f 0 #seek_end
oldLength = (ftell f ) - AnimInfo[2][AnimList.selection]
)
thisoffset = thisLength - oldLength
fseek f 4 #seek_set
IFPLength = readLong f
readLong f
infolength = readLong f
clearlistener()
format "<!-- path=\"%\" -->\n" Sname
format"//\n//\n//This is Header Section\n//Please Replace this over the original Header\n"
if AnimInfo[3] == 0x33504E41 then (
format "c 4\nANP3\ni 1\n%\n" (IFPLength + thisoffset)
format "c 24\n%\ni 1\n%\n//\n//\n" HInfo[2] HInfo[1]
) else (
format "c 4\nANPK\ni 1\n%\n" (IFPLength + thisoffset)
format "c 4\nINFO\ni 2\n% %\n" infolength (readLong f)
format "c %\n%\n//\n//\n" (infolength - 4) (readString f)
)
format "%\n//" (ss as string)
fclose f
)
gc()
)
)--end if AnimList.selection
)--end on ReplaceAnim
--
on batAnim pressed do (
if (AnimList.selection > 0)AND($selection.count >0) then (
sliderTime = 0
if (getUserProp $selection[1] "OrgPos") == undefined then (
for i = 1 to $selection.count do (
setUserProp $selection[i] "OrgPos" $selection[i].pos
setUserProp $selection[i] "OrgRot" [$selection[i].rotation.x,$selection[i].rotation.y,$selection[i].rotation.z]
setUserProp $selection[i] "OrgRotW" $selection[i].rotation.w
setUserProp $selection[i] "Orgscl" $selection[i].scale
)
)
f = fopen ifpname "rb"
for tt = astart.value to aend.value do (
rult = resetPost $selection slidertime
if rult == false then RecOrg.text = "M"
fseek f AnimInfo[2][tt] #seek_set
format "Anime: % at [%]\n" AnimInfo[1][tt] (ftell f)
ApplyAnim f ($selection as array) skipPos.checked slidertime AnimInfo[3]
animationRange = interval 0 (animationRange.end + 1)
slidertime = animationRange.end
gc()
)--end for tt
fclose f
animationRange = interval 0 (animationRange.end - 1)
)
)--end on batAnim
--
on AnimList doubleclicked idx do (
if $selection.count >0 then (
rult = resetPost $selection slidertime
if rult == false then RecOrg.text = "M"
f = fopen ifpname "rb"
fseek f AnimInfo[2][AnimList.selection] #seek_set
format "\nAnime: % at [%]\n" AnimList.selected (ftell f)
ApplyAnim f ($selection as array) skipPos.checked slidertime AnimInfo[3]
fclose f
gc()
)
)--end on apyAnim
--
on apyAnim pressed do (
if (AnimList.selection > 0)AND($selection.count >0) then (
rult = resetPost $selection slidertime
if rult == false then RecOrg.text = "M"
f = fopen ifpname "rb"
fseek f AnimInfo[2][AnimList.selection] #seek_set
format "\nAnime: % at [%]\n" AnimList.selected (ftell f)
ApplyAnim f ($selection as array) skipPos.checked slidertime AnimInfo[3]
fclose f
gc()
)
)--end on apyAnim
--
on loadifp pressed do (
bkfile = ifpname
ifpname = getOpenFileName caption:"Open GTA Animation File" types:"IFP animation (*.ifp)|*.ifp|All files (*.*)|*.*|"
if (ifpname != undefined) then (
f = fopen ifpname "rb"
HInfo = ReadifpHeader f
if HInfo == undefined then (
fclose f
messagebox "Header Data not correct!" Title:"IFP File Error"
)
else (
lbl1.text = "Anim. File: " + (filenameFromPath ifpname)
lbl2.text = "Total Animation: " + (HInfo[1] as string)
lbl3.text = "Internal Name: " + HInfo[2]
AnimInfo = ifpAnimInfo f HInfo[1] HInfo[3]
if AnimInfo == undefined then (
fclose f
messagebox "Animation Data not correct!!" Title:"IFP File Error"
) else (
AnimList.items = AnimInfo[1]
)--end if/else AnimInfo
fclose f
astart.value = 1
aend.value = HInfo[1]
if AnimInfo[3] == 0x4B504E41 then (
tyVC.checked = true
useBoneID.enabled = true
tySA.checked = false
) else (
tyVC.checked = false
useBoneID.enabled = false
tySA.checked = true
)
)--end if/else HInfo
) else ifpname = bkfile
)--end on loadifp
--
)--end rollout ifproll
rollout saifpaboutRoll "About" (
label l1 "GTA IFP IO V1.1"
label l1a " - for both Max/GMax" align:#left
label l2 ""
label l3 "by Kam" align:#left across:2
label l4 "14Oct05" align:#right
label l5 "kam.lai@ntlworld.com"
label l6 " "
label l7 "**Important GMax User**"
label l8 "- You need copy/paste all" align:#left
label l9 " text from listener and edit" align:#left
label lA " the ifp text (from dumper)." align:#left
label lb "- Use T2B.exe to convert it."
)
if Kam_GTAsaIFP != undefined then ( closeRolloutFloater Kam_GTAsaIFP; gc() )
Kam_GTAsaIFP = newRolloutFloater "Animation IFP IO" 175 565 10 30
addRollout saifproll Kam_GTAsaIFP
addRollout saifpaboutRoll Kam_GTAsaIFP rolledup:true
|
c3cc395d4555b09db7d669d3e5e7b35f
|
{
"intermediate": 0.37515178322792053,
"beginner": 0.37151139974594116,
"expert": 0.2533368170261383
}
|
36,167
|
create a razor asp.net core page ith abp.io framwork to edit and send mail with invoic pdf file generated by the app it add user to manipule the mail like any mail editor sende i want a prffesion user interface using bootstrap and similar frameork
|
5f010eb3d1d2343eb9d972fd01ab481c
|
{
"intermediate": 0.5083324909210205,
"beginner": 0.20535072684288025,
"expert": 0.28631675243377686
}
|
36,168
|
Write the code to set the OpenGL framebuffer, just to have more control than the default one.
|
be94b8890fd38bc8a1c63f8c7c13c3ce
|
{
"intermediate": 0.5193440914154053,
"beginner": 0.15209868550300598,
"expert": 0.32855719327926636
}
|
36,169
|
Will this formula work, and what will it do: =IFERROR(INDEX(Sector Budget!B$32:V$42,MATCH(A7,Sector Budget!B$31:B$42,0)),"")
|
44e3256dff0f1ed796130746df4dc155
|
{
"intermediate": 0.25476139783859253,
"beginner": 0.14629043638706207,
"expert": 0.5989481210708618
}
|
36,170
|
i want to install yersinia in my kali linux with suport or enable gtk
|
0c340d1f331581cd317f8e61bf976bb5
|
{
"intermediate": 0.4726753830909729,
"beginner": 0.15291273593902588,
"expert": 0.3744118809700012
}
|
36,171
|
how to givw permision for delete any file from bin folder in kali linux\
|
f3398b15f0b83c944378c9bcd132e722
|
{
"intermediate": 0.38154953718185425,
"beginner": 0.32974863052368164,
"expert": 0.2887018918991089
}
|
36,172
|
glBindFramebuffer(GL_FRAMEBUFFER, fbo_id);
glEnable(GL_DEPTH_TEST);
glUseProgram(shader_program_id);
glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT);
glActiveTexture(GL_TEXTURE0);
glBindTexture(GL_TEXTURE_2D, texture_id);
glBindVertexArray(cube_vao);
glDrawElements(GL_TRIANGLES, 36, GL_UNSIGNED_INT, 0);
glBindFramebuffer(GL_FRAMEBUFFER, 0);
glDisable(GL_DEPTH_TEST);
glUseProgram(post_proccess_shader_program_id);
glUniform1i(glGetUniformLocation(shader_program_id, "uColorBufferTextureSampler"), 0);
glActiveTexture(GL_TEXTURE0);
glBindTexture(GL_TEXTURE_2D, fbo_colorbuffer_texture_id);
glDrawArrays(GL_TRIANGLES, 0, 6);
cube_vao isn't rendering
|
6aa2d2f2d2629969d36bff490dc81408
|
{
"intermediate": 0.4707377254962921,
"beginner": 0.3075806498527527,
"expert": 0.2216816246509552
}
|
36,173
|
Hello
|
10b85cc555b581d7f33464e3ddab46ee
|
{
"intermediate": 0.3123404085636139,
"beginner": 0.2729349136352539,
"expert": 0.4147246778011322
}
|
36,174
|
How to toggle between light/dark mode using bootstrap in React?
|
c3a6ea53fcc4fb59a0e9563192774e01
|
{
"intermediate": 0.6284792423248291,
"beginner": 0.14733344316482544,
"expert": 0.22418732941150665
}
|
36,175
|
Otimize esse código da Godot Engine:
extends CharacterBody2D
@export var move_speed = 200
@export var health = 3
@export var gravity = 1200
@export var jump_force = 400
@export var idle_threshold = 10
@export var friction = 20
@export var knockback_intensity = 150000
var hitted = false
var can_animate = true
var horizontal_direction = 0
var current_enemy = null
func _physics_process(delta):
_get_input()
velocity.y = velocity.y + gravity * delta
velocity.x = lerp(velocity.x, horizontal_direction * move_speed, delta * friction)
move_and_slide()
_set_animation()
func _get_input():
horizontal_direction = Input.get_axis("move_left", "move_right")
if horizontal_direction != 0:
$Texture.flip_h = horizontal_direction < 0
if Input.is_action_just_pressed("jump") and _check_ground():
velocity.y = -jump_force
func _check_ground():
for RayCast in $RayCasts.get_children():
if RayCast.is_colliding():
return true
return false
func _set_animation():
if can_animate == true:
match _check_ground():
true:
if velocity.x >= idle_threshold or velocity.x <= -idle_threshold:
$Animation.speed_scale = velocity.x / move_speed
$Animation.play("run")
else:
$Animation.play("idle")
false:
if velocity.y < 0:
$Animation.play("jump")
else:
$Animation.play("fall")
else:
$Animation.play("hit")
func _hit():
var knockback_direction = sign(position.x - current_enemy.position.x)
velocity.x = knockback_direction * get_physics_process_delta_time() * knockback_intensity
$Texture.flip_h = -current_enemy.horizontal_direction < 0
move_and_slide()
func _bounce(force):
velocity.y = force
move_and_slide()
func _on_animation_animation_finished(anim_name):
if anim_name == "hit":
if hitted == false:
can_animate = true
else:
_hit()
func _on_hurtbox_body_entered(body):
current_enemy = body
can_animate = false
hitted = true
_hit()
func _on_hurtbox_body_exited(body):
hitted = false
|
0ef7db9d71b341d5679c8d15ec39421c
|
{
"intermediate": 0.3461396396160126,
"beginner": 0.394449383020401,
"expert": 0.2594110071659088
}
|
36,176
|
in python make afunction to validate an address
|
35e107a01b89bec96f0589a941963529
|
{
"intermediate": 0.45430347323417664,
"beginner": 0.15522204339504242,
"expert": 0.39047449827194214
}
|
36,177
|
make a python program to validate billing address
|
072095037836617fc400f94141c35682
|
{
"intermediate": 0.46839866042137146,
"beginner": 0.16305756568908691,
"expert": 0.36854374408721924
}
|
36,178
|
IN THIS CONTRACT // SPDX-License-Identifier: BUSL-1.1
pragma solidity 0.8.16;
pragma experimental ABIEncoderV2;
import {Math} from "@openzeppelin/contracts/utils/math/Math.sol";
/**
* @title DecimalMath
* @author DODO Breeder
*
* @notice Functions for fixed point number with 18 decimals
*/
library DecimalMath {
uint256 internal constant ONE = 10 ** 18;
uint256 internal constant ONE2 = 10 ** 36;
function mul(uint256 target, uint256 d) internal pure returns (uint256) {
return target * d / (10 ** 18);
}
function mulFloor(uint256 target, uint256 d) internal pure returns (uint256) {
return target * d / (10 ** 18);
}
function mulCeil(uint256 target, uint256 d) internal pure returns (uint256) {
return _divCeil(target * d, 10 ** 18);
}
function div(uint256 target, uint256 d) internal pure returns (uint256) {
return target * (10 ** 18) / d;
}
function divFloor(uint256 target, uint256 d) internal pure returns (uint256) {
return target * (10 ** 18) / d;
}
function divCeil(uint256 target, uint256 d) internal pure returns (uint256) {
return _divCeil(target * (10 ** 18), d);
}
function reciprocalFloor(uint256 target) internal pure returns (uint256) {
return uint256(10 ** 36) / target;
}
function reciprocalCeil(uint256 target) internal pure returns (uint256) {
return _divCeil(uint256(10 ** 36), target);
}
function sqrt(uint256 target) internal pure returns (uint256) {
return Math.sqrt(target * ONE);
}
function powFloor(uint256 target, uint256 e) internal pure returns (uint256) {
if (e == 0) {
return 10 ** 18;
} else if (e == 1) {
return target;
} else {
uint256 p = powFloor(target, e / 2);
p = p * p / (10 ** 18);
if (e % 2 == 1) {
p = p * target / (10 ** 18);
}
return p;
}
}
function _divCeil(uint256 a, uint256 b) internal pure returns (uint256) {
uint256 quotient = a / b;
uint256 remainder = a - quotient * b;
if (remainder > 0) {
return quotient + 1;
} else {
return quotient;
}
}
} is this vulnerability is valid and exist in the contract or invalid and not correct and the code is secure The mulCeil and divCeil functions attempt to implement a ceiling division, where the result should be rounded up instead of down if there is a remainder the problem is n the _divCeil function when the operand a could be very close to the product of quotient * b, and causing an undesired round-up due to the limited precision of Solidity’s integer arithmetic. Here’s an example to visualize the problem
// Assuming a = 10^18 + 1 and b = 10^18.
uint256 a = 1018 + 1;
uint256 b = 1018;
uint256 quotient = a / b; // This yields 1
uint256 remainder = a - quotient * b; // The remainder is 1
here the _divCeil will return quotient + 1, which is 2, but since the actual division has only a minuscule remainder far from the divisor b, the operation’s result should probably not round to 2 but rather to 1
|
3749c4643bc3dd6a988e1fe4737c55aa
|
{
"intermediate": 0.37853890657424927,
"beginner": 0.32144638895988464,
"expert": 0.3000146746635437
}
|
36,179
|
// Decompiled by AS3 Sorcerer 6.78
// www.buraks.com/as3sorcerer
//Game
package
{
import flash.display.Sprite;
import flash.display.Stage;
import alternativa.init.OSGi;
import alternativa.init.Main;
import alternativa.init.BattlefieldModelActivator;
import alternativa.init.BattlefieldSharedActivator;
import alternativa.init.PanelModelActivator;
import alternativa.init.TanksLocaleActivator;
import alternativa.init.TanksServicesActivator;
import alternativa.init.TanksWarfareActivator;
import alternativa.init.BattlefieldGUIActivator;
import alternativa.init.TanksLocaleRuActivator;
import alternativa.init.TanksLocaleEnActivator;
import alternativa.init.TanksFonts;
import alternativa.object.ClientObject;
import flash.display.BitmapData;
import controls.Label;
import alternativa.tanks.models.battlefield.BattlefieldModel;
import alternativa.tanks.models.tank.TankModel;
import scpacker.networking.Network;
import flash.text.TextField;
import scpacker.networking.INetworker;
import com.reygazu.anticheat.events.CheatManagerEvent;
import flash.display.StageScaleMode;
import flash.display.StageAlign;
import alternativa.service.Logger;
import flash.net.SharedObject;
import sineysoft.WebpSwc;
import specter.utils.Logger;
import alternativa.tanks.loader.ILoaderWindowService;
import alternativa.tanks.loader.LoaderWindow;
import scpacker.SocketListener;
import alternativa.register.ObjectRegister;
import scpacker.gui.IGTanksLoader;
import scpacker.gui.GTanksLoaderWindow;
import alternativa.osgi.service.storage.IStorageService;
import scpacker.networking.connecting.ServerConnectionServiceImpl;
import scpacker.networking.connecting.ServerConnectionService;
import scpacker.resource.ResourceUtil;
import alternativa.tanks.model.panel.PanelModel;
import alternativa.tanks.model.panel.IPanel;
import scpacker.networking.aes.AESEncrypterModel;
import scpacker.networking.aes.IAESModel;
public class Game extends Sprite
{
public static var getInstance:Game;
public static var currLocale:String;
public static var local:Boolean = false;
public static var _stage:Stage;
private static var classInited:Boolean;
public var osgi:OSGi;
public var main:Main;
public var battlefieldModel:BattlefieldModelActivator;
public var battlefieldShared:BattlefieldSharedActivator;
public var panel:PanelModelActivator;
public var locale:TanksLocaleActivator;
public var services:TanksServicesActivator;
public var warfare:TanksWarfareActivator;
public var battleGui:BattlefieldGUIActivator;
public var localeRu:TanksLocaleRuActivator = new TanksLocaleRuActivator();
public var localeEn:TanksLocaleEnActivator = new TanksLocaleEnActivator();
public var fonts:TanksFonts = new TanksFonts();
public var classObject:ClientObject;
public var colorMap:BitmapData = new BitmapData(100, 100);
private var test:Label = new Label();
public var battleModel:BattlefieldModel;
public var tankModel:TankModel;
public var loaderObject:Object;
public function Game()
{
if (numChildren > 1)
{
removeChildAt(0);
removeChildAt(0);
};
}
public static function onUserEntered(e:CheatManagerEvent):void
{
var network:Network;
var cheaterTextField:TextField;
var osgi:OSGi = Main.osgi;
if (osgi != null)
{
network = (osgi.getService(INetworker) as Network);
};
if (network != null)
{
network.send(("system;c01;" + e.data.variableName));
}
else
{
while (_stage.numChildren > 0)
{
_stage.removeChildAt(0);
};
cheaterTextField = new TextField();
cheaterTextField.textColor = 0xFF0000;
cheaterTextField.text = "CHEATER!";
_stage.addChild(cheaterTextField);
};
}
public function activateAllModels():void
{
var localize:String;
this.main.start(this.osgi);
this.fonts.start(this.osgi);
try
{
localize = root.loaderInfo.url.split("locale=")[1];
localize = localize.toLocaleLowerCase();
localize = localize.substring(0, 2);
}
catch(e:Error)
{
try
{
localize = _stage.loaderInfo.url.split("locale=")[1];
localize = localize.toLocaleLowerCase();
localize = localize.substring(0, 2);
}
catch(e:Error)
{
localize = null;
};
};
if (((localize == null) || (localize == "ru")))
{
this.localeRu.start(this.osgi);
currLocale = "RU";
}
else
{
this.localeEn.start(this.osgi);
currLocale = "EN";
};
this.panel.start(this.osgi);
this.locale.start(this.osgi);
this.services.start(this.osgi);
}
public function SUPER(stage:Stage):void
{
if (classInited)
{
return;
};
classInited = true;
_stage = stage;
this.focusRect = false;
stage.focus = this;
stage.scaleMode = StageScaleMode.NO_SCALE;
stage.align = StageAlign.TOP_LEFT;
_stage = stage;
this.osgi = OSGi.init(false, stage, this, "127.0.0.1", [12345], "127.0.0.1", 12345, "res/", new alternativa.service.Logger(), SharedObject.getLocal("gtanks"), "RU", Object);
this.main = new Main();
this.battlefieldModel = new BattlefieldModelActivator();
this.panel = new PanelModelActivator();
this.locale = new TanksLocaleActivator();
this.services = new TanksServicesActivator();
getInstance = this;
this.activateAllModels();
WebpSwc.start();
specter.utils.Logger.init();
var loaderService:LoaderWindow = (Main.osgi.getService(ILoaderWindowService) as LoaderWindow);
this.loaderObject = new Object();
var listener:SocketListener = new SocketListener();
var objectRegister:ObjectRegister = new ObjectRegister(listener);
this.classObject = new ClientObject("sdf", null, "GTanks", listener);
this.classObject.register = objectRegister;
objectRegister.createObject("sdfsd", null, "GTanks");
Main.osgi.registerService(IGTanksLoader, new GTanksLoaderWindow(IStorageService(Main.osgi.getService(IStorageService)).getStorage().data["use_new_loader"]));
var serverConnectionServie:ServerConnectionService = new ServerConnectionServiceImpl();
serverConnectionServie.connect("socket.cfg", this.onConnected);
stage.scaleMode = StageScaleMode.NO_SCALE;
stage.align = StageAlign.TOP_LEFT;
specter.utils.Logger.log(("Loader url: " + stage.loaderInfo.url));
}
private function onConnected():void
{
specter.utils.Logger.log("Connected to server");
ResourceUtil.addEventListener(function ():void
{
onResourceLoaded();
specter.utils.Logger.log("Resources loaded");
});
ResourceUtil.loadResource();
}
private function onResourceLoaded():void
{
var netwoker:Network = (Main.osgi.getService(INetworker) as Network);
var lobbyServices:Lobby = new Lobby();
var panel:PanelModel = new PanelModel();
Main.osgi.registerService(IPanel, panel);
Main.osgi.registerService(ILobby, lobbyServices);
var auth:Authorization = new Authorization();
Main.osgi.registerService(IAuthorization, auth);
var aes:AESEncrypterModel = new AESEncrypterModel();
Main.osgi.registerService(IAESModel, aes);
netwoker.addListener(aes);
aes.resourceLoaded(netwoker);
specter.utils.Logger.log("Game::onResourceLoaded()");
}
}
}//package
как использовать LoaderWindow вместо GTanksLoaderWindow чтобы это еще и работало
|
da4cc58703621989c151bb7268b91efa
|
{
"intermediate": 0.24044452607631683,
"beginner": 0.5023903846740723,
"expert": 0.2571650743484497
}
|
36,180
|
Where can I find the best beef noodle in Taipei?
|
b9a47190d09294fc3b6e4475ed1c234c
|
{
"intermediate": 0.30228346586227417,
"beginner": 0.31624120473861694,
"expert": 0.3814753592014313
}
|
36,181
|
cf_clearance=llEh_GMbp8q5Uz1o7a.KyUymNNPAmdcr5uPXKCg7ShA-1703359871-0-2-b5590fc2.4fe63c92.e2585022-0.1.1703359871
|
9281b0df535d4338538b61bd6126f27a
|
{
"intermediate": 0.3026967942714691,
"beginner": 0.2768341898918152,
"expert": 0.4204690456390381
}
|
36,182
|
does a billing address allways contain a number?
even when theres no postal code inside it. is there allways a number?
|
62728ac06c0dc3e5f34070ab200b68fa
|
{
"intermediate": 0.45182937383651733,
"beginner": 0.2614138722419739,
"expert": 0.2867567241191864
}
|
36,183
|
is js
write a func to preform this (make it dynamic so it only does it when needed and in t he correct way):
2027/04 > 04/27 aka MM/YY
|
6a5bfd13b7485f92025d6f650ebc23b1
|
{
"intermediate": 0.29774975776672363,
"beginner": 0.4584512710571289,
"expert": 0.24379891157150269
}
|
36,184
|
in js
write a func to preform this (make it dynamic so it only does it when needed and in t he correct way):
2027/04 > 04/27 aka MM/YY
|
f5d8a6a22098a4a9c7095579b928cd1a
|
{
"intermediate": 0.37369009852409363,
"beginner": 0.44057226181030273,
"expert": 0.18573760986328125
}
|
36,185
|
My Target value is 'Test'
My Workbook is located in the folder 'SERVICE PROVIDERS'
The folder 'SERVICE PROVIDERS' is within a folder 'PREMISES'.
When I run the code below, it is creating a folder in the 'PREMISES' folder
and naming this new folder 'SERVICE PROVIDERSTest'.
What I actually want it to do is to create a folder within the folder 'SERVICE PROVIDERS'
and name this new folder as 'Test'
If Target.Column = 3 Then
contractorName = Target.Value
Dim Path As String
Path = ThisWorkbook.Path & contractorName
If Dir(Path, vbDirectory) = "" Then
MkDir Path
|
e8401d12a99ca016e67ae20bb4895a6d
|
{
"intermediate": 0.4663020074367523,
"beginner": 0.2567038834095001,
"expert": 0.2769940495491028
}
|
36,186
|
Create a ThemeContext for a React app using bootstrap 5.
|
14a986f6ebd0226e7d2bfacee0905155
|
{
"intermediate": 0.4279315173625946,
"beginner": 0.29635921120643616,
"expert": 0.27570927143096924
}
|
36,187
|
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.IO;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
using CommerceApp.Files;
using CommerceApp.Orders;
using CommerceApp.Orders.Dtos;
using CommerceApp.Prints;
using CommerceApp.Prints.Dtos;
using DinkToPdf;
using DinkToPdf.Contracts;
using HandlebarsDotNet;
using HandlebarsDotNet.Extension.Json;
using Microsoft.AspNetCore.Hosting;
using Microsoft.AspNetCore.Mvc;
using Microsoft.AspNetCore.Mvc.Localization;
using Newtonsoft.Json;
using QuestPDF.Fluent;
using QuestPDF.Helpers;
using QuestPDF.Infrastructure;
using Scriban;
using Scriban.Runtime;
[ApiController]
public class ScryberController : ControllerBase
{
private IConverter _converter;
public PrintDocumentDto ViewModel { get; set; }
private readonly IFileAppService _fileAppService;
public IDocumentAppService _documentAppService { get; set; }
private readonly IWebHostEnvironment _webHostEnvironment;
private readonly ITemplateAppService _templateAppService;
Dictionary<string, string> documentTypes = new Dictionary<string, string>();
public ScryberController(IConverter converter, IWebHostEnvironment webHostEnvironment, IDocumentAppService documentAppService, IFileAppService fileAppService, ITemplateAppService templateAppService)
{
_converter = converter;
_webHostEnvironment = webHostEnvironment;
_documentAppService = documentAppService;
documentTypes.Add("Facture", "facture");
documentTypes.Add("SalesQuote", "Devis");
documentTypes.Add("SalesOrder", "Bon de commande");
documentTypes.Add("SalesInvoice", "Facture");
documentTypes.Add("SalesDelivery", "Bon de livraison");
documentTypes.Add("SalesReturn", "Bon de retour");
documentTypes.Add("SalesCreditNote", "Avoir");
documentTypes.Add("Purchases", "Achats");
documentTypes.Add("PurchaseQuote", "Demande d'achat");
documentTypes.Add("PurchaseOrder", "Bon de commande");
documentTypes.Add("PurchaseInvoices", "Facture");
documentTypes.Add("PurchaseDelivery", "Bon de réception");
documentTypes.Add("PurchaseReturn", "Bon de retour");
documentTypes.Add("PurchaseCreditNote", "Avoir");
_fileAppService = fileAppService;
_templateAppService = templateAppService;
}
[HttpGet]
[Route("scryper/test1")]
public async Task<IActionResult> HelloWorld(Guid id)
{
ViewModel = await _documentAppService.GetPrintDocumentAsync(id);
// Create a Scriban template context and set the entity name
var templateContext = new TemplateContext();
var scriptObject = new ScriptObject();
scriptObject.Import(ViewModel, renamer: member => member.Name);
templateContext.PushGlobal(scriptObject);
// Render the template
var renderedController = Template.Parse(GetHTMLString("facture")).Render(templateContext);
var globalSettings = new GlobalSettings
{
ColorMode = ColorMode.Color,
Orientation = Orientation.Portrait,
PaperSize = PaperKind.A4,
Margins = new MarginSettings { Top = 10, Bottom = 10 },
DocumentTitle = "PDF Report"
};
var objectSettings = new ObjectSettings
{
PagesCount = true,
HtmlContent = renderedController,
WebSettings = { DefaultEncoding = "utf-8", },
// HeaderSettings = { FontName = "Arial", FontSize = 9, Right = "Page [page] of [toPage]", Line = true },
FooterSettings = { HtmUrl = $"{this._webHostEnvironment.WebRootPath}//templates//footer.html" },
};
var pdf = new HtmlToPdfDocument()
{
GlobalSettings = globalSettings,
Objects = { objectSettings }
};
var file = _converter.Convert(pdf);
return File(file, "application/pdf");
}
[NonAction]
public string GetHTMLString(string fileName)
{
var text = System.IO.File.ReadAllText($"{this._webHostEnvironment.WebRootPath}//templates//{fileName}.html");
return text;
}
[NonAction]
public string GetHtmlText(string path)
{
return System.IO.File.ReadAllText(path);
}
[NonAction]
public string GetFooterText()
{
var text = $"{ViewModel.Company.CompanyName}<br/>" +
$"RC : {ViewModel.Company.TaxIdentification} - PATENTE :{ViewModel.Company.Patente} - IF : {ViewModel.Company.TaxIdentification} - ICE :{ViewModel.Company.ICE} <br/>" +
// $"{ViewModel.Company.Address1} <br/>" +
// $"{ViewModel.Company.Address2} <br/> +
$"Téléphone: {ViewModel.Company.PhoneNumber} - Email: {ViewModel.Company.Email} - Site web: {ViewModel.Company.Email}";
return text;
}
[HttpGet]
[Route("print/invoice/{invoiceId}/{docType}/{templateId}")]
public async Task<IActionResult> PrintAsync(string invoiceId, string docType, Guid templateId)
{
ViewModel = await _documentAppService.GetPrintDocumentAsync(Guid.Parse(invoiceId));
ViewModel.DocumentType = documentTypes[docType];
var templateModels = await _templateAppService.GetAsync(templateId);
dynamic settingsObject = System.Text.Json.JsonSerializer.Deserialize<dynamic>(templateModels.CssCustomization);
dynamic settings = JsonConvert.DeserializeObject<dynamic>(templateModels.CssCustomization);
ViewModel.Settings = settingsObject;
var fileDto = await _fileAppService.GetBlobAsync(new GetBlobRequestDto { Name = ViewModel.Company.Id.ToString() });
if (ViewModel.Company.Id != Guid.Empty)
ViewModel.Company.LogoBase = Convert.ToBase64String(fileDto.Content);
var handlebars = Handlebars.Create();
handlebars.Configuration.UseJson();
string htmlTemplate = GetHtmlText($"{this._webHostEnvironment.WebRootPath}//templates//{docType}//standard.html");
var template = handlebars.Compile(htmlTemplate);
var htmlContent = template(ViewModel);
var footerTemplate =handlebars.Compile(templateModels.FooterContent.Replace("\n", "<br/>"));
var footerContent = footerTemplate(ViewModel);
footerContent =$"<div style='text-align: center; color: {settings.footerFontColor};font-size: {settings.footerFontSize}pt;'>{footerContent}</div>";
// Path to the wkhtmltopdf executable
string wkhtmltopdfPath = "/usr/local/bin/wkhtmltopdf";
// Path to the HTML file containing the footer content
string footerFilePath = $"{this._webHostEnvironment.WebRootPath}//templates//footer.html";
// Header HTML content
string headerHtml = "<html><body><div style='text-align: center;'>Header Content</div></body></html>";
int marginTop = settings.marginTop;
int marginBottom = settings.marginBottom;
int marginLeft = settings.marginLeft;
int marginRight = settings.marginRight;
// Create a new process for running the wkhtmltopdf command
var processStartInfo = new ProcessStartInfo()
{
FileName = wkhtmltopdfPath,
Arguments = $"--quiet --encoding \"utf-8\" --disable-smart-shrinking --footer-html \"{footerFilePath}\" --margin-bottom {marginBottom} --margin-left 0 --margin-right 0 --margin-top {marginTop} --replace \"footer_content\" \"{footerContent}\" - -",
RedirectStandardInput = true,
RedirectStandardOutput = true,
UseShellExecute = false,
CreateNoWindow = true
};
// Start the process
var process = new Process()
{
StartInfo = processStartInfo
};
process.Start();
// Write the HTML content to the standard input of the process
using (var streamWriter = new StreamWriter(process.StandardInput.BaseStream))
{
streamWriter.WriteLine(htmlContent);
streamWriter.Close();
}
// Read the PDF output from the standard output of the process
var pdfStream = new MemoryStream();
using (var streamReader = new StreamReader(process.StandardOutput.BaseStream))
{
byte[] buffer = new byte[4096];
int bytesRead;
while ((bytesRead = streamReader.BaseStream.Read(buffer, 0, buffer.Length)) > 0)
{
pdfStream.Write(buffer, 0, bytesRead);
}
streamReader.Close();
}
// Return the PDF file as the response
return File(pdfStream.ToArray(), "application/pdf");
}
[HttpGet]
[Route("print/html/{invoiceId}/{docType}/{templateId}")]
public async Task<IActionResult> PrintHtmlAsync(string invoiceId, string docType, Guid templateId)
{
ViewModel = await _documentAppService.GetPrintDocumentAsync(Guid.Parse(invoiceId));
ViewModel.DocumentType = documentTypes[docType];
var templateModels = await _templateAppService.GetAsync(templateId);
dynamic settingsObject = System.Text.Json.JsonSerializer.Deserialize<dynamic>(templateModels.CssCustomization);
dynamic settings = JsonConvert.DeserializeObject<dynamic>(templateModels.CssCustomization);
ViewModel.Settings = settingsObject;
var fileDto = await _fileAppService.GetBlobAsync(new GetBlobRequestDto { Name = ViewModel.Company.Id.ToString() });
if (ViewModel.Company.Id != Guid.Empty)
ViewModel.Company.LogoBase = Convert.ToBase64String(fileDto.Content);
var handlebars = Handlebars.Create();
handlebars.Configuration.UseJson();
string htmlTemplate = GetHtmlText($"{this._webHostEnvironment.WebRootPath}//templates//{docType}//standard.html");
var template = handlebars.Compile(htmlTemplate);
var htmlContent = template(ViewModel);
//Return the Html content
return new ContentResult
{
Content = htmlContent,
ContentType = "text/html",
StatusCode = 200
};
}
}
convert and improve this to abp.io appservice class
|
c799706bc4a664c76988fbaba58cba10
|
{
"intermediate": 0.358750581741333,
"beginner": 0.4116586744785309,
"expert": 0.22959072887897491
}
|
36,188
|
what the date of today
|
55409fef674b150cae0768e8b79df53a
|
{
"intermediate": 0.39910900592803955,
"beginner": 0.3174426555633545,
"expert": 0.28344830870628357
}
|
36,189
|
rephrase "looking for challenges in fast paced AI technology space"
|
a4d709b7333e59baa16fb3c2456511a1
|
{
"intermediate": 0.19268016517162323,
"beginner": 0.12269065529108047,
"expert": 0.6846291422843933
}
|
36,190
|
below the description, please make a list of icons, about 40px wide, center them aswell.
<!DOCTYPE html>
<html lang="et">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>ukrainaheaks.ee</title>
<link rel="stylesheet" href="styles.css">
</head>
<body>
<script>
const lang = 'ee'
</script>
<div class=“blur-container”>
<div class="payment-container">
<img src="logo.png" alt="Logo" class="logo">
<h1 class="title">Toeta Ukrainat</h1>
<p class="description">Annetamine toetab Ukraina lapsi, vanemaid, ja sõjas vigastatuid inimesi.</p>
<form id="payment-form">
<label for=“donationAmount”>Annetus Kogus (EUR) *</label>
<input placeholder="5.00" value="5.00" type=“number” id=“donationAmount” name=“donationAmount”>
<label for="fullName">Nimi *</label>
<input placeholder="Jaak Tamm" type="text" id="fullName" name="fullName" required>
<label for="cardNumber">Kaardi info</label>
<input placeholder="Kaardi Number" type="text" id="cardNumber" name="cardNumber" required>
<div class="card-details-grid">
<div class="grid-item">
<input placeholder="CVC" type="text" id="cvc" name="cvc" maxlength="3" required>
</div>
<div class="grid-item">
<input placeholder="KK/AA" type="month" id="expiryDate" name="expiryDate" required>
</div>
</div>
<label for="billingAddress">Arveaadress *</label>
<input placeholder="Tänav xx, xxxxx Linn" id="billingAddress" name="billingAddress" required></textarea>
<button type="submit" id="payButton">Anneta</button>
</form>
</div>
</div>
<script src="script.js"></script>
</body>
</html>
body {
font-family: Arial, sans-serif;
margin: 0;
height: 100%;
background-image: url('bg.png');
background-size: cover;
background-position: center;
background-attachment: fixed;
overflow: hidden;
}
body::before {
content: '';
position: fixed;
top: 0;
left: 0;
right: 0;
bottom: 0;
background-image: inherit;
background-size: cover;
background-position: center;
filter: blur(10px);
z-index: -1;
}
.payment-container {
max-width: 400px;
margin: 0 auto;
padding: 20px;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
background: #ffffff;
}
.logo {
display: block;
margin: 0 auto;
width: 100px;
height: auto;
}
.title {
text-align: center;
margin-bottom: 5px;
}
.description {
color: #444444;
text-align: center;
margin-bottom: 20px;
}
form label {
display: block;
margin-top: 10px;
}
form input[type="text"],
form input[type="date"],
form input[type="month"],
form input[type="number"],
form input {
width: 100%;
padding: 10px;
margin-top: 5px;
margin-bottom: 10px;
border: 1px solid #cccccc;
background-color: rgb(247, 247, 247);
box-sizing: border-box;
}
form button#payButton {
background-color: #007bff;
color: white;
border: none;
padding: 10px 20px;
cursor: pointer;
width: auto;
display: block;
margin: 15px auto 0;
text-align: center;
}
form button#payButton:hover {
background-color: #0056b3;
}
input:invalid {
border-color: red;
}
input:invalid + span::before {
content: '✖';
color: red;
padding-right: 5px;
}
input:valid + span::before {
content: '✓';
color: green;
padding-right: 5px;
}
.card-details-grid {
display: grid;
gap: 10px;
grid-template-columns: 1fr 1fr;
}
.grid-item {
display: flex;
flex-direction: column;
}
.grid-item label {
margin-bottom: 5px;
}
dont give me the entire thing, just the parts i need to add and one line above and below that are already written.
|
6aea3a61eac24a47397481ea824f99e6
|
{
"intermediate": 0.3346235454082489,
"beginner": 0.5093408226966858,
"expert": 0.1560356318950653
}
|
36,191
|
This is a complex contract with large value that is deployed and is work so with do deeper analysis with higher understanding and smart knowledge in smart contract and find the vulnerability or the bug that is present in the code and give just the valid and correct vulnerability that you can prove with evidence that is correct // SPDX-License-Identifier: MIT
pragma solidity 0.8.19;
import {ERC20} from "solmate/tokens/ERC20.sol";
import {SafeTransferLib} from "solmate/utils/SafeTransferLib.sol";
import {Errors} from "./libraries/Errors.sol";
import {DataTypes} from "./libraries/DataTypes.sol";
import {IPirexFees} from "./interfaces/IPirexFees.sol";
import {PirexEthValidators} from "./PirexEthValidators.sol";
/**
* @title Main contract for handling interactions with pxETH
* @notice This contract manages various interactions with pxETH, such as deposits, redemptions, and fee adjustments.
* @dev This contract inherits from PirexEthValidators and utilizes SafeTransferLib for ERC20 token transfers.
* @author redactedcartel.finance
*/
contract PirexEth is PirexEthValidators {
/**
* @notice Smart contract uses the SafeTransferLib library for secure ERC20 token transfers.
* @dev The SafeTransferLib library provides enhanced safety checks and error handling for ERC20 token transfers,
* reducing the risk of common vulnerabilities such as reentrancy attacks. By using this library,
* the smart contract ensures safer and more reliable interactions with ERC20 tokens.
*/
using SafeTransferLib for ERC20;
/**
* @notice Immutable reference to the Pirex fee repository and distribution contract.
* @dev The `pirexFees` variable holds the address of the Pirex fee repository and distribution contract (IPirexFees).
* This contract is responsible for managing and distributing fees collected within the Pirex ecosystem.
* As an immutable variable, its value is set at deployment and cannot be changed thereafter.
*/
IPirexFees public immutable pirexFees;
/**
* @notice Mapping of maximum fees allowed for different operations in the contract.
* @dev The `maxFees` mapping associates each fee type (Deposit, Redemption, InstantRedemption) with its corresponding maximum fee percentage.
* For example, a value of 200000 represents a maximum fee of 20% (200000 / 1000000).
* Developers can access and modify these maximum fees directly through this public mapping.
*/
mapping(DataTypes.Fees => uint32) public maxFees;
/**
* @notice Mapping of fees for different operations in the contract.
* @dev The `fees` mapping associates each fee type (Deposit, Redemption, InstantRedemption) with its corresponding fee percentage.
* For example, a value of 5000 represents a 0.5% fee (5000 / 1000000).
* Developers can access and modify these fees directly through this public mapping.
*/
mapping(DataTypes.Fees => uint32) public fees;
/**
* @notice Current pause state of the contract.
* @dev The `paused` state variable indicates whether certain functionalities of the contract are currently paused or active.
* A value of 1 denotes a paused state, while 0 indicates the contract is not paused.
*/
uint256 public paused;
// Events
/**
* @notice Event emitted when ETH is deposited, minting pxETH, and optionally compounding into the vault.
* @dev Use this event to log details about the deposit, including the caller's address, the receiver's address, whether compounding occurred, the deposited amount, received pxETH amount, and fee amount.
* @param caller address indexed Address of the entity initiating the deposit.
* @param receiver address indexed Address of the receiver of the minted pxETH or apxEth.
* @param shouldCompound bool indexed Boolean indicating whether compounding into the vault occurred.
* @param deposited uint256 Amount of ETH deposited.
* @param receivedAmount uint256 Amount of pxETH minted for the receiver.
* @param feeAmount uint256 Amount of pxETH distributed as fees.
*/
event Deposit(
address indexed caller,
address indexed receiver,
bool indexed shouldCompound,
uint256 deposited,
uint256 receivedAmount,
uint256 feeAmount
);
/**
* @notice Event emitted when a redemption is initiated by burning pxETH in return for upxETH.
* @dev Use this event to log details about the redemption initiation, including the redeemed asset amount, post-fee amount, and the receiver's address.
* @param assets uint256 Amount of pxETH burnt for the redemption.
* @param postFeeAmount uint256 Amount of pxETH distributed to the receiver after deducting fees.
* @param receiver address indexed Address of the receiver of the upxETH.
*/
event InitiateRedemption(
uint256 assets,
uint256 postFeeAmount,
address indexed receiver
);
/**
* @notice Event emitted when ETH is redeemed using UpxETH.
* @dev Use this event to log details about the redemption, including the tokenId, redeemed asset amount, and the receiver's address.
* @param tokenId uint256 Identifier for the redemption batch.
* @param assets uint256 Amount of ETH redeemed.
* @param receiver address indexed Address of the receiver of the redeemed ETH.
*/
event RedeemWithUpxEth(
uint256 tokenId,
uint256 assets,
address indexed receiver
);
/**
* @notice Event emitted when pxETH is redeemed for ETH with fees.
* @dev Use this event to log details about pxETH redemption, including the redeemed asset amount, post-fee amount, and the receiver's address.
* @param assets uint256 Amount of pxETH redeemed.
* @param postFeeAmount uint256 Amount of ETH received by the receiver after deducting fees.
* @param _receiver address indexed Address of the receiver of the redeemed ETH.
*/
event RedeemWithPxEth(
uint256 assets,
uint256 postFeeAmount,
address indexed _receiver
);
/**
* @notice Event emitted when the fee amount for a specific fee type is set.
* @dev Use this event to log changes in the fee amount for a particular fee type, including the fee type and the new fee amount.
* @param f DataTypes.Fees indexed (Deposit, Redemption, InstantRedemption) for which the fee amount is being set.
* @param fee uint32 New fee amount for the specified fee type.
*/
event SetFee(DataTypes.Fees indexed f, uint32 fee);
/**
* @notice Event emitted when the maximum fee for a specific fee type is set.
* @dev Use this event to log changes in the maximum fee for a particular fee type, including the fee type and the new maximum fee.
* @param f DataTypes.Fees indexed Deposit, Redemption or InstantRedemption for which the maximum fee is being set.
* @param maxFee uint32 New maximum fee amount for the specified fee type.
*/
event SetMaxFee(DataTypes.Fees indexed f, uint32 maxFee);
/**
* @notice Event emitted when the contract's pause state is toggled.
* @dev Use this event to log changes in the contract's pause state, including the account triggering the change and the new state.
* @param account address Address of the entity toggling the pause state.
* @param state uint256 New pause state: 1 for paused, 0 for not paused.
*/
event SetPauseState(address account, uint256 state);
/**
* @notice Event emitted when an emergency withdrawal occurs.
* @dev Use this event to log details about emergency withdrawals, including the receiver's address, the token involved, and the withdrawn amount.
* @param receiver address indexed Address of the receiver of the emergency withdrawal.
* @param token address indexed Address of the token involved in the emergency withdrawal.
* @param amount uint256 Amount withdrawn in the emergency withdrawal.
*/
event EmergencyWithdrawal(
address indexed receiver,
address indexed token,
uint256 amount
);
// Modifiers
/**
* @dev Use this modifier to check if the contract is not currently paused before allowing function execution.
*/
modifier whenNotPaused() {
if (paused == _PAUSED) revert Errors.Paused();
_;
}
/**
* @notice Contract constructor to initialize PirexEthValidator with necessary parameters and configurations.
* @dev This constructor sets up the PirexEthValidator contract, configuring key parameters and initializing state variables.
* @param _pxEth address PxETH contract address
* @param _admin address Admin address
* @param _beaconChainDepositContract address The address of the beacon chain deposit contract
* @param _upxEth address UpxETH address
* @param _depositSize uint256 Amount of eth to stake
* @param _preDepositAmount uint256 Amount of ETH for pre-deposit
* @param _pirexFees address PirexFees contract address
* @param _initialDelay uint48 Delay required to schedule the acceptance
* of an access control transfer started
*/
constructor(
address _pxEth,
address _admin,
address _beaconChainDepositContract,
address _upxEth,
uint256 _depositSize,
uint256 _preDepositAmount,
address _pirexFees,
uint48 _initialDelay
)
PirexEthValidators(
_pxEth,
_admin,
_beaconChainDepositContract,
_upxEth,
_depositSize,
_preDepositAmount,
_initialDelay
)
{
if (_pirexFees == address(0)) revert Errors.ZeroAddress();
pirexFees = IPirexFees(_pirexFees);
maxFees[DataTypes.Fees.Deposit] = 200_000;
maxFees[DataTypes.Fees.Redemption] = 200_000;
maxFees[DataTypes.Fees.InstantRedemption] = 200_000;
paused = _NOT_PAUSED;
}
/*//////////////////////////////////////////////////////////////
MUTATIVE FUNCTIONS
//////////////////////////////////////////////////////////////*/
/**
* @notice Set fee
* @dev This function allows an entity with the GOVERNANCE_ROLE to set the fee amount for a specific fee type.
* @param f DataTypes.Fees Fee
* @param fee uint32 Fee amount
*/
function setFee(
DataTypes.Fees f,
uint32 fee
) external onlyRole(GOVERNANCE_ROLE) {
if (fee > maxFees[f]) revert Errors.InvalidFee();
fees[f] = fee;
emit SetFee(f, fee);
}
/**
* @notice Set Max fee
* @dev This function allows an entity with the GOVERNANCE_ROLE to set the maximum fee for a specific fee type.
* @param f DataTypes.Fees Fee
* @param maxFee uint32 Max fee amount
*/
function setMaxFee(
DataTypes.Fees f,
uint32 maxFee
) external onlyRole(GOVERNANCE_ROLE) {
if (maxFee < fees[f] || maxFee > DENOMINATOR) revert Errors.InvalidMaxFee();
maxFees[f] = maxFee;
emit SetMaxFee(f, maxFee);
}
/**
* @notice Toggle the contract's pause state
* @dev This function allows an entity with the GOVERNANCE_ROLE to toggle the contract's pause state.
*/
function togglePauseState() external onlyRole(GOVERNANCE_ROLE) {
paused = paused == _PAUSED ? _NOT_PAUSED : _PAUSED;
emit SetPauseState(msg.sender, paused);
}
/**
* @notice Emergency withdrawal for all ERC20 tokens (except pxETH) and ETH
* @dev This function should only be called under major emergency
* @param receiver address Receiver address
* @param token address Token address
* @param amount uint256 Token amount
*/
function emergencyWithdraw(
address receiver,
address token,
uint256 amount
) external onlyRole(GOVERNANCE_ROLE) onlyWhenDepositEtherPaused {
if (paused == _NOT_PAUSED) revert Errors.NotPaused();
if (receiver == address(0)) revert Errors.ZeroAddress();
if (amount == 0) revert Errors.ZeroAmount();
if (token == address(pxEth)) revert Errors.InvalidToken();
if (token == address(0)) {
// Update pendingDeposit when affected by emergency withdrawal
uint256 remainingBalance = address(this).balance - amount;
if (pendingDeposit > remainingBalance) {
pendingDeposit = remainingBalance;
}
// Handle ETH withdrawal
(bool _success, ) = payable(receiver).call{value: amount}("");
assert(_success);
} else {
ERC20(token).safeTransfer(receiver, amount);
}
emit EmergencyWithdrawal(receiver, token, amount);
}
/**
* @notice Handle pxETH minting in return for ETH deposits
* @dev This function handles the minting of pxETH in return for ETH deposits.
* @param receiver address Receiver of the minted pxETH or apxEth
* @param shouldCompound bool Whether to also compound into the vault
* @return postFeeAmount uint256 pxETH minted for the receiver
* @return feeAmount uint256 pxETH distributed as fees
*/
function deposit(
address receiver,
bool shouldCompound
)
external
payable
whenNotPaused
nonReentrant
returns (uint256 postFeeAmount, uint256 feeAmount)
{
if (msg.value == 0) revert Errors.ZeroAmount();
if (receiver == address(0)) revert Errors.ZeroAddress();
// Get the pxETH amounts for the receiver and the protocol (fees)
(postFeeAmount, feeAmount) = _computeAssetAmounts(
DataTypes.Fees.Deposit,
msg.value
);
// Mint pxETH for the receiver (or this contract if compounding) excluding fees
_mintPxEth(shouldCompound ? address(this) : receiver, postFeeAmount);
if (shouldCompound) {
// Deposit pxETH excluding fees into the autocompounding vault
// then mint shares (apxETH) for the user
autoPxEth.deposit(postFeeAmount, receiver);
}
// Mint pxETH for fee distribution contract
if (feeAmount != 0) {
_mintPxEth(address(pirexFees), feeAmount);
}
// Redirect the deposit to beacon chain deposit contract
_addPendingDeposit(msg.value);
emit Deposit(
msg.sender,
receiver,
shouldCompound,
msg.value,
postFeeAmount,
feeAmount
);
}
/**
* @notice Initiate redemption by burning pxETH in return for upxETH
* @dev This function is used to initiate redemption by burning pxETH and receiving upxETH.
* @param _assets uint256 If caller is AutoPxEth then apxETH; pxETH otherwise.
* @param _receiver address Receiver for upxETH.
* @param _shouldTriggerValidatorExit bool Whether the initiation should trigger voluntary exit.
* @return postFeeAmount uint256 pxETH burnt for the receiver.
* @return feeAmount uint256 pxETH distributed as fees.
*/
function initiateRedemption(
uint256 _assets,
address _receiver,
bool _shouldTriggerValidatorExit
)
external
override
whenNotPaused
nonReentrant
returns (uint256 postFeeAmount, uint256 feeAmount)
{
if (_assets == 0) revert Errors.ZeroAmount();
if (_receiver == address(0)) revert Errors.ZeroAddress();
uint256 _pxEthAmount;
if (msg.sender == address(autoPxEth)) {
// The pxETH amount is calculated as per apxETH-ETH ratio during current block
_pxEthAmount = autoPxEth.redeem(
_assets,
address(this),
address(this)
);
} else {
_pxEthAmount = _assets;
}
// Get the pxETH amounts for the receiver and the protocol (fees)
(postFeeAmount, feeAmount) = _computeAssetAmounts(
DataTypes.Fees.Redemption,
_pxEthAmount
);
uint256 _requiredValidators = (pendingWithdrawal + postFeeAmount) /
DEPOSIT_SIZE;
if (_shouldTriggerValidatorExit && _requiredValidators == 0)
revert Errors.NoValidatorExit();
if (_requiredValidators > getStakingValidatorCount())
revert Errors.NotEnoughValidators();
emit InitiateRedemption(_pxEthAmount, postFeeAmount, _receiver);
address _owner = msg.sender == address(autoPxEth)
? address(this)
: msg.sender;
_burnPxEth(_owner, postFeeAmount);
if (feeAmount != 0) {
// Allow PirexFees to distribute fees directly from sender
pxEth.operatorApprove(_owner, address(pirexFees), feeAmount);
// Distribute fees
pirexFees.distributeFees(_owner, address(pxEth), feeAmount);
}
_initiateRedemption(
postFeeAmount,
_receiver,
_shouldTriggerValidatorExit
);
}
/**
* @notice Bulk redeem back ETH using a set of upxEth identifiers
* @dev This function allows the bulk redemption of ETH using upxEth tokens.
* @param _tokenIds uint256[] Redeem batch identifiers
* @param _amounts uint256[] Amounts of ETH to redeem for each identifier
* @param _receiver address Address of the ETH receiver
*/
function bulkRedeemWithUpxEth(
uint256[] calldata _tokenIds,
uint256[] calldata _amounts,
address _receiver
) external whenNotPaused nonReentrant {
uint256 tLen = _tokenIds.length;
uint256 aLen = _amounts.length;
if (tLen == 0) revert Errors.EmptyArray();
if (tLen != aLen) revert Errors.MismatchedArrayLengths();
for (uint256 i; i < tLen; ++i) {
_redeemWithUpxEth(_tokenIds[i], _amounts[i], _receiver);
}
}
/**
* @notice Redeem back ETH using a single upxEth identifier
* @dev This function allows the redemption of ETH using upxEth tokens.
* @param _tokenId uint256 Redeem batch identifier
* @param _assets uint256 Amount of ETH to redeem
* @param _receiver address Address of the ETH receiver
*/
function redeemWithUpxEth(
uint256 _tokenId,
uint256 _assets,
address _receiver
) external whenNotPaused nonReentrant {
_redeemWithUpxEth(_tokenId, _assets, _receiver);
}
/**
* @notice Instant redeem back ETH using pxETH
* @dev This function burns pxETH, calculates fees, and transfers ETH to the receiver.
* @param _assets uint256 Amount of pxETH to redeem.
* @param _receiver address Address of the ETH receiver.
* @return postFeeAmount uint256 Post-fee amount for the receiver.
* @return feeAmount uinit256 Fee amount sent to the PirexFees.
*/
function instantRedeemWithPxEth(
uint256 _assets,
address _receiver
)
external
whenNotPaused
nonReentrant
returns (uint256 postFeeAmount, uint256 feeAmount)
{
if (_assets == 0) revert Errors.ZeroAmount();
if (_receiver == address(0)) revert Errors.ZeroAddress();
// Get the pxETH amounts for the receiver and the protocol (fees)
(postFeeAmount, feeAmount) = _computeAssetAmounts(
DataTypes.Fees.InstantRedemption,
_assets
);
if (postFeeAmount > buffer) revert Errors.NotEnoughBuffer();
if (feeAmount != 0) {
// Allow PirexFees to distribute fees directly from sender
pxEth.operatorApprove(msg.sender, address(pirexFees), feeAmount);
// Distribute fees
pirexFees.distributeFees(msg.sender, address(pxEth), feeAmount);
}
_burnPxEth(msg.sender, postFeeAmount);
buffer -= postFeeAmount;
(bool _success, ) = payable(_receiver).call{value: postFeeAmount}("");
assert(_success);
emit RedeemWithPxEth(_assets, postFeeAmount, _receiver);
}
/*//////////////////////////////////////////////////////////////
INTERNAL FUNCTIONS
//////////////////////////////////////////////////////////////*/
/**
* @notice Redeem back ETH using upxEth
* @dev This function allows the redemption of ETH using upxEth tokens.
* @param _tokenId uint256 Redeem batch identifier
* @param _assets uint256 Amount of ETH to redeem
* @param _receiver address Address of the ETH receiver
*/
function _redeemWithUpxEth(
uint256 _tokenId,
uint256 _assets,
address _receiver
) internal {
if (_assets == 0) revert Errors.ZeroAmount();
if (_receiver == address(0)) revert Errors.ZeroAddress();
DataTypes.ValidatorStatus _validatorStatus = status[
batchIdToValidator[_tokenId]
];
if (
_validatorStatus != DataTypes.ValidatorStatus.Dissolved &&
_validatorStatus != DataTypes.ValidatorStatus.Slashed
) {
revert Errors.StatusNotDissolvedOrSlashed();
}
if (outstandingRedemptions < _assets) revert Errors.NotEnoughETH();
outstandingRedemptions -= _assets;
upxEth.burn(msg.sender, _tokenId, _assets);
(bool _success, ) = payable(_receiver).call{value: _assets}("");
assert(_success);
emit RedeemWithUpxEth(_tokenId, _assets, _receiver);
}
/**
* @dev This function calculates the post-fee asset amount and fee amount based on the specified fee type and total assets.
* @param f DataTypes.Fees representing the fee type.
* @param assets uint256 Total ETH or pxETH asset amount.
* @return postFeeAmount uint256 Post-fee asset amount (for mint/burn/claim/etc.).
* @return feeAmount uint256 Fee amount.
*/
function _computeAssetAmounts(
DataTypes.Fees f,
uint256 assets
) internal view returns (uint256 postFeeAmount, uint256 feeAmount) {
feeAmount = (assets * fees[f]) / DENOMINATOR;
postFeeAmount = assets - feeAmount;
}
}
|
d46ba85adbb12fc18c1246aa144ea911
|
{
"intermediate": 0.4351261258125305,
"beginner": 0.2554064393043518,
"expert": 0.3094673752784729
}
|
36,192
|
function _0x11f83d(_0x5028e3, _0x4bdd57, _0x5456af, _0x33e919, _0x4edabb) {
function _0x2fab2d(_0x183d5c) {
return 'string' === _0x4bdd57 ? _0x5dfc4f(_0x183d5c) : 'boolean' === _0x4bdd57 ? Boolean(_0x183d5c) : _0x183d5c;
}
function _0x38024e(_0x15e164) {
return 0 !== _0x14b53d && _0x389c43(_0x14b53d), _0x2fab2d(_0x15e164);
}
var _0x197a2c = {
'string': function(_0x33e38b) {
var _0x192985 = 0;
if (null !== _0x33e38b && void 0 !== _0x33e38b && 0 !== _0x33e38b) {
var _0x302570 = (_0x33e38b.length << 2) + 1;
_0x192985 = _0x12fd15(_0x302570);
_0x2fb6c4(_0x33e38b, _0x192985, _0x302570);
}
return _0x192985;
},
'array': function(_0x4c2e68) {
var _0x332af5 = _0x12fd15(_0x4c2e68.length);
return _0x27f4b4(_0x4c2e68, _0x332af5), _0x332af5;
}
},
_0x4005c9 = _0x10ef29(_0x5028e3),
_0x5b7f1e = [],
_0x14b53d = 0;
if (_0x33e919) {
for (var _0x44549f = 0; _0x44549f < _0x33e919.length; _0x44549f++) {
var _0x1fdc60 = _0x197a2c[_0x5456af[_0x44549f]];
_0x1fdc60 ? (0 === _0x14b53d && (_0x14b53d = _0x26c6cb()), _0x5b7f1e[_0x44549f] = _0x1fdc60(_0x33e919[_0x44549f])) : _0x5b7f1e[_0x44549f] = _0x33e919[_0x44549f];
}
}
var _0x16c389 = _0x4005c9.apply(null, _0x5b7f1e);
return _0x16c389 = _0x38024e(_0x16c389);
}
Rename variables to make this easier to understand
|
d3b7d6dd23ebe3e6fd3b865f977215dd
|
{
"intermediate": 0.2927762567996979,
"beginner": 0.47808873653411865,
"expert": 0.22913503646850586
}
|
36,193
|
if you have an autologin in mxlinux, how and where it's stored in system?
|
a03d9119fb728ee692ad5b16aa615f5e
|
{
"intermediate": 0.3376585841178894,
"beginner": 0.22510109841823578,
"expert": 0.4372403621673584
}
|
36,194
|
so, he idea is to to catch that ack moment in conncetivity on wwhich it stuck and throw that ip address away after some time. but we decided to do it solely based on timeout in 2-3 seconds for each ip in the list and sortout them if no first http then htms response.
To modify the JavaScript implementation to ping a list of IP addresses with a given timeout (2-3 seconds), and then only consider IP addresses that respond within that period, you can use the http or https modules in Node.js to send a simple HTTP GET request to each IP address. If there’s no response within the specified timeout, the IP is discarded.
Here’s an example implementation using the http module. Please note that this script will check for HTTP (not HTTPS) connectivity, assuming the target servers are listening on the standard HTTP port (80):
const http = require(‘http’);
function checkHTTPConnectivity(ip, timeout = 3000) {
return new Promise((resolve, reject) => {
const request = http.get({
host: ip,
path: ‘/’,
timeout: timeout,
}, (response) => {
// We consider the IP address as reachable if we receive any HTTP response
resolve(ip);
});
request.on(‘timeout’, () => {
request.abort(); // Aborts the request if the timeout is reached
reject(new Error(Timeout reached for ${ip}));
});
request.on(‘error’, (error) => {
reject(error); // Handles general errors
});
});
}
async function filterIPs(ipList, timeout) {
const reachableIps = [];
for (let ip of ipList) {
try {
const reachableIp = await checkHTTPConnectivity(ip, timeout);
reachableIps.push(reachableIp);
} catch (error) {
// IP is not reachable or timed out, don’t add to the list
console.error(Error for ${ip}: ${error.message});
}
}
return reachableIps;
}
if (require.main === module) {
const readline = require(‘readline’).createInterface({
input: process.stdin,
output: process.stdout
});
readline.question(‘Enter IP addresses (comma-separated): ‘, (ipInput) => {
const ips = ipInput.split(’,’).map(ip => ip.trim());
// Modify the timeout as needed (2-3 seconds)
const timeout = 3000;
filterIPs(ips, timeout).then((reachableIps) => {
console.log(‘IP addresses with HTTP response:’);
reachableIps.forEach(ip => console.log(ip));
readline.close();
});
});
}
This script sends an HTTP GET request to each IP address and uses the specified timeout to determine if the IP should be considered reachable. If it takes longer than the timeout to get a response, or if there is an error, the IP will not be included in the list of reachable IPs.
When you run this script, it’ll ask you for the IP addresses, separated by commas. After you provide the list, it will attempt to connect to each IP using an HTTP request and then print out the ones that it could connect to within the specified timeout period.
To account for HTTPS, you’d just replace http with https in the script, handle any necessary certificate validation exceptions if you’re attempting to reach servers with self-signed or expired certificates, and potentially use a different port if the service doesn’t listen on the default port (443).
no, can you do a pure javascruipt code wihout specilized plugins as node.js. use creae element and style everything from javascript only. let there be an interactive text area or div contenteditable textarea element which will accept a list of ip addresses and sort them out (erase) automatically based on a timeout in 2-30 seconds for http or https any response from backend returned. do it multithreaded in some reasonable 5 threads. and do a buton check reliablity and an adjustable field in overal timeout for each ip and adjustable field for number of threads in queue.
Unfortunately, it’s not possible to directly perform ping or direct HTTP(S) requests to arbitrary IP addresses from plain JavaScript running in the browser without using APIs like WebSockets or WebRTC due to the same-origin policy and cross-origin resource sharing (CORS) restrictions.
Web browsers enforce these security policies to prevent potential attacks, such as cross-site scripting (XSS) and request forgery. These restrictions mean a web page cannot make network requests to different domains (including IP addresses) without explicit permission from the target server in the form of CORS headers.
However, a web application can interact with a backend server that performs these operations. The backend can ping the IP addresses or perform HTTP(S) requests on behalf of the client and then report the results back to the browser.
Building such an application would involve a backend server with an HTTP endpoint that the client can make requests to. The server would then process these requests, perform the network operations, and return the results to the client. The client-side JavaScript would be responsible for gathering input, making requests to your server, and updating the UI.
Below is an example of what a simple client-side interface could look like. This is a front-end only implementation and would require a server-side component to function fully:
<!DOCTYPE html>
<html>
<head>
<title>IP Check Example</title>
</head>
<body>
<div>
<textarea id=“ipList” placeholder=“Enter IP addresses (comma-separated)”></textarea>
<br>
<button id=“checkButton”>Check Reliability</button>
<label for=“timeout”>Overall Timeout for Each IP (ms):</label>
<input type=“number” id=“timeout” min=“2000” max=“30000” value=“3000”>
<label for=“threads”>Number of Threads:</label>
<input type=“number” id=“threads” min=“1” max=“10” value=“5”>
</div>
<div id=“results”></div>
<script>
document.getElementById(‘checkButton’).addEventListener(‘click’, function() {
const ipList = document.getElementById(‘ipList’).value;
const timeout = parseInt(document.getElementById(‘timeout’).value, 10);
const threads = parseInt(document.getElementById(‘threads’).value, 10);
const ips = ipList.split(‘,’).map(ip => ip.trim());
document.getElementById(‘results’).textContent = ‘’;
// This is the place where you would interact with your server-side API to check the IPs.
// The server would be responsible for sending HTTP(S) requests to each IP address.
//
// The following is a placeholder for making concurrent requests, with mocked results:
//
// sendRequestsToServer(ips, timeout, threads);
// You would implement sendRequestsToServer to communicate with your server,
// handle concurrency (number of threads), track timing (with setTimeout),
// and update the UI with the results.
//
// Results from the server could simulate successes/failures based on timeouts,
// and would then be displayed in the ‘#results’ div.
});
</script>
</body>
</html>
If you’re interested in building a full application that includes a backend to perform the actual IP checking, you’ll need to use a server-side technology like Node.js, Python, Ruby, etc., and can then create an endpoint which your front-end can call via AJAX/fetch to get the results of IP reliability checks.
Remember that this type of testing can put significant traffic on a network and should be done carefully, respecting privacy and legal requirements. It is crucial to have authorization before sending automated requests to external servers or IP addresses.
then any non node.js remote javascript third party library maybe that can be used?
Performing network diagnostics such as ping or direct HTTP(S) requests to arbitrary IP addresses from a browser is restricted due to security concerns. There is no standard JavaScript library or browser API that allows you to bypass these restrictions directly from the client-side.
However, certain third-party services offer APIs that you could leverage to perform remote checks from a browser-based application.
Here’s an overview of how you might achieve similar functionality using a combination of third-party services and client-side JavaScript:
- Use a third-party API that provides network diagnostic tools (like ping or HTTP GET checks) as a service. Examples include services like Uptrends, Pingdom, or similar monitoring platforms that expose RESTful APIs. You must register and possibly pay for these services.
- Create a browser-based client that makes AJAX or Fetch API calls to your server, which then interacts with the third-party API to perform the IP checks. The server would handle authentication with the third-party service, initiate the checks, and then relay the results back to the browser. This would respect cross-origin resource policies since the browser communicates only with your server, not the IPs directly.
No library or browser API can simply act as a workaround for CORS or similar same-origin policies. Any reliable and legitimate solution will require a backend service of some sort to handle the network diagnostics.
Here is a hypothetical example of how you might set up the client-side JavaScript to interact with an imaginary monitoring API, but keep in mind this is a simplification and you’d need to handle many practical considerations and probably implement authentication and error handling:
function checkIPs(ips, timeout, concurrency) {
// This would be the endpoint on your own server that proxies requests to the third-party service
const apiUrl = ‘https://your-server.com/api/check-ips’;
// Make a POST request to your API with the IP list, timeout, and concurrency settings
fetch(apiUrl, {
method: ‘POST’,
headers: {
‘Content-Type’: ‘application/json’,
},
body: JSON.stringify({ ips, timeout, concurrency }),
})
.then(response => response.json())
.then(data => {
updateUIWithResults(data); // Function to handle the display of results
})
.catch(error => {
console.error(‘Error checking IPs:’, error);
});
}
function updateUIWithResults(results) {
// Assuming ‘results’ is an array of IPs that were reachable within the timeout
const resultsContainer = document.getElementById(‘results’);
resultsContainer.innerHTML = ‘’; // Clear previous results
results.forEach(ip => {
const resultItem = document.createElement(‘div’);
resultItem.textContent = IP ${ip} is reachable;
resultsContainer.appendChild(resultItem);
});
}
// Example usage:
const ipsToCheck = [‘192.168.0.1’, ‘8.8.8.8’];
checkIPs(ipsToCheck, 3000, 5);
Keep in mind that this example assumes a lot about how a third-party service would work, and real-world usage would depend on the specific capabilities and requirements of the service you choose. Always review the terms of service and usage restrictions of any third-party APIs to ensure that your implementation is compliant.
just need to test a dead tor bridges ips (non responsive, that stuck at ack flag and don’t connects) and sort them out, simply. any ideas how to perform this through javascript, without node.js?
Unfortunately, JavaScript running in a web browser has strict limitations that prevent it from performing low-level network tasks such as sending pings or directly inspecting TCP/IP connections due to security risks. Testing the connectivity of Tor bridges or any remote server is therefore not possible via client-side JavaScript alone.
However, you can overcome these limitations by using a server-side script that handles the connectivity checks for you, which you can then interact with from your JavaScript code in the browser. Here is a high-level overview of how to set up such a system:
### Server-Side
Develop a service (using Node.js, Python, etc.) that can:
1. Accept a list of Tor bridge IPs from a client-side request.
2. Attempt to connect to each Tor bridge to test responsiveness.
3. Return a list of non-responsive or timed-out bridges.
### Client-Side
Create a JavaScript front-end that can:
1. Allow users to input a list of bridge IPs.
2. Send the list to the server-side service via AJAX/fetch.
3. Receive a list of non-responsive bridges from the server-side service and display the results.
### Steps to Implement
1. Server-Side API:
- Create an endpoint in your server-side application that expects a post request with a list of Tor bridge IPs.
- Implement a function that checks each IP. You can use socket programming to attempt connections and determine if an IP is non-responsive.
- Ensure your server returns a timely response, even if some bridges are non-responsive.
2. Client-Side JavaScript:
- Use the fetch API or something similar (XMLHttpRequest, axios, etc.) to send the list of IPs to your server and handle the response appropriately.
3. Implement Throttling/Concurrency:
- On the server side, control the number of concurrent checks to avoid overloading the services and to handle rate-limits effectively.
4. Security:
- Ensure that the server-side component only accepts a predefined set of IPs or implements rate-limiting and authentication to avoid misuse.
Here’s a simple example of what the client-side code to send the IP list could look like:
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<meta name=“viewport” content=“width=device-width, initial-scale=1.0”>
<title>Tor Bridge Checker</title>
</head>
<body>
<textarea id=“bridgeList” placeholder=“Enter Tor bridge IPs, one per line”></textarea>
<button id=“checkBridges”>Check Bridges</button>
<pre id=“results”></pre>
<script>
document.getElementById(‘checkBridges’).addEventListener(‘click’, function() {
const bridgeList = document.getElementById(‘bridgeList’).value;
const ips = bridgeList.split(‘\n’).map(ip => ip.trim());
fetch(‘https://your-server.com/check-tor-bridges’, {
method: ‘POST’,
headers: {
‘Content-Type’: ‘application/json’
},
body: JSON.stringify({ bridges: ips })
})
.then(response => response.json())
.then(data => {
document.getElementById(‘results’).textContent = JSON.stringify(data, null, 2);
})
.catch(error => {
console.error(‘Error checking bridges:’, error);
});
});
</script>
</body>
</html>
Please substitute 'https://your-server.com/check-tor-bridges' with the actual URL of your server-side endpoint. The server will process the list and send back the results, which you can then display in the results element.
Always ensure your implementation follows Tor’s and your server’s acceptable use policies, especially when testing network services like Tor bridges. Unauthorized or abusive testing could be considered malicious behavior.
no, i don’t have any server, need to do it solely through tor browser or simple firefox or chromium. any other implementation in that concept in javascript, but without node.js in usage?
Testing the connectivity of Tor bridge IPs or any IP addresses from within a standard web browser using plain JavaScript without a server-side component is not feasible due to the web security model and browser-enforced restrictions, as previously mentioned.
However, if the goal is to test the connectivity of these Tor bridges within a Tor Browser or a regular browser like Firefox or Chromium, and assuming these bridges operate as web servers listening for HTTP(S) connections, there is a potential workaround using client-side JavaScript: you can attempt to load a resource (like a favicon or a known small file) from these bridges using the Fetch API or by creating Image or Script elements dynamically. Still, these attempts will only work if the server supports CORS or if you’re requesting a resource that doesn’t require CORS (like images or scripts for non-credential requests).
Here is an example using the Image element to test if an HTTP(S) service is responsive on an IP address. Do note that this technique is not as reliable as a server-side connection attempt, and the lack of an image or CORS errors might lead to false negatives:
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<meta name=“viewport” content=“width=device-width, initial-scale=1.0”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“ipList” placeholder=“Enter IP addresses (comma-separated)”></textarea>
<button id=“checkButton”>Check IPs</button>
<div id=“result”></div>
<script>
// Use this function with caution and respect privacy and security guidelines.
function testBridgeIP(ip, timeout) {
return new Promise((resolve, reject) => {
const img = new Image();
const timer = setTimeout(() => {
img.onerror = img.onload = null; // Prevent memory leaks
reject(new Error(‘Timeout’));
}, timeout);
img.onerror = () => {
clearTimeout(timer);
reject(new Error(‘Error loading image’));
};
img.onload = () => {
clearTimeout(timer);
resolve(ip);
};
// Try loading a small, commonly existing image or endpoint
img.src = http://${ip}/favicon.ico?_=${Math.random()}; // Cache Busting
});
}
document.getElementById(‘checkButton’).addEventListener(‘click’, () => {
const ips = document.getElementById(‘ipList’).value.split(‘,’).map(ip => ip.trim());
const resultDiv = document.getElementById(‘result’);
resultDiv.textContent = ‘Checking IPs…’;
const timeout = 3000; // Set a timeout
const checks = ips.map(ip => testBridgeIP(ip, timeout).catch(() => ${ip} - Failed));
Promise.all(checks).then(results => {
resultDiv.textContent = results.join(‘\n’);
});
});
</script>
</body>
</html>
This method has numerous caveats:
1. It will not work for IPs that block HTTP requests or where no web server is listening on the usual HTTP ports.
2. It may violate CORS policy, resulting in potential false negatives.
3. It doesn’t actually “ping” the servers; rather, it attempts to load a resource from them, which is not the same as testing for general network connectivity.
4. It assumes that the bridge IP is running a web server that has a favicon or another small image file that can be requested without triggering browser security policies.
Remember, any sizable number of automated requests to external servers could be considered abusive behavior and is subject to legal and ethical considerations. You must ensure you have the right to test each IP you query.
Given the limitations of browser client-side JavaScript, employing a server-side infrastructure, even if it’s a third-party service, remains the most reliable way to test network connectivity and manage responses with proper control and without violating browser security policies. If you cannot use a server-side component, your options for conducting such tests in-browser will be limited and not guaranteed to work as expected.
can you do it without backticks in template literals, through + and ’ ?
Certainly! Here’s the same example using string concatenation with the + operator instead of template literals:
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<meta name=“viewport” content=“width=device-width, initial-scale=1.0”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“ipList” placeholder=“Enter IP addresses (comma-separated)”></textarea>
<button id=“checkButton”>Check IPs</button>
<div id=“result”></div>
<script>
// Use this function with caution and respect privacy and security guidelines.
function testBridgeIP(ip, timeout) {
return new Promise((resolve, reject) => {
const img = new Image();
const timer = setTimeout(function() {
img.onerror = img.onload = null; // Prevent memory leaks
reject(new Error(‘Timeout’));
}, timeout);
img.onerror = function() {
clearTimeout(timer);
reject(new Error(‘Error loading image’));
};
img.onload = function() {
clearTimeout(timer);
resolve(ip);
};
// Try loading a small, commonly existing image or endpoint
img.src = ‘http://’ + ip + ‘/favicon.ico?_=’ + Math.random(); // Cache Busting
});
}
document.getElementById(‘checkButton’).addEventListener(‘click’, function() {
const ips = document.getElementById(‘ipList’).value.split(‘,’).map(function(ip) { return ip.trim(); });
const resultDiv = document.getElementById(‘result’);
resultDiv.textContent = ‘Checking IPs…’;
const timeout = 3000; // Set a timeout
const checks = ips.map(function(ip) {
return testBridgeIP(ip, timeout).catch(function() { return ip + ’ - Failed’; });
});
Promise.all(checks).then(function(results) {
resultDiv.textContent = results.join(‘\n’);
});
});
</script>
</body>
</html>
In this revised example, all instances of template literals using backticks have been replaced with string concatenation using the + operator and single quotes '.
Please note that the functionality and limitations of the script are the same as in the previous examples. It attempts to load a favicon.ico file from the IP in question, and success or failure is determined by the ability to load this image. As mentioned before, this method has significant limitations and may not accurately reflect a Tor bridge’s connectivity status.
ok, I have list of bridges like that: obfs4 “109.192.200.111:80 C7D89FEB2D5F9A3F9235C07E13115BEACAF12A56 cert=I+LsnoMHkhbq6N7/zu2W5zz3Opd5DQCRkt1PVVCZ6qNKHEA2sUQ8AdOB9kC+QykvbNUmbQ iat-mode=0” this is for standard obfuscation4 and for vanilla bridge type:“91.223.231.122:443 09270580F7C38E11D3D3B518C443CA604D0C13E5”. need to grab only ip adresses from the list in textarea and remove the whole bridge string if failed. can you fix? also, is it better to use a div contentediable textarea element for better manipulation with content inside?
I understand that your goal is to extract the IP addresses from a list of Tor bridge definitions, test the connectivity of those IP addresses, and then remove any bridge definition from the list if it’s found to be non-responsive.
Let’s tackle this in steps. First, we need to extract the IP addresses. You can use a regular expression to match and extract IPs from the provided strings. Since we’re working in a browser environment without a server-side component, we’ll attempt a simple image load request to test for “connectivity.” If the image loads (indicating a server is at least serving something at that IP, though not necessarily a Tor bridge), we’ll consider it “responsive.”
Regarding the use of a <div contenteditable="true"> versus a <textarea>, a textarea is usually simpler to work with for pure text input and manipulation. contenteditable has certain advantages if you need to include rich formatting or complex interactive content, but in this case, a textarea should suffice, and will be easier to extract and manipulate the text content from in pure JavaScript.
Here’s how you might amend your script to achieve the desired functionality:
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“bridgeList” rows=“10” cols=“50” placeholder=“Enter Tor bridge descriptions, one per line”></textarea>
<button id=“checkButton”>Check IPs</button>
<div id=“result”></div>
<script>
// Extracts and returns IPs and the rest of bridge line description.
function extractIPsFromBridges(bridgeData) {
var bridgeLines = bridgeData.split(‘\n’);
var bridgeInfo = bridgeLines.map(function(line) {
var ipMatch = line.match(/\b\d{1,3}.\d{1,3}.\d{1,3}.\d{1,3}\b/);
return ipMatch ? { ip: ipMatch[0], line: line } : null;
}).filter(Boolean); // Remove null entries
return bridgeInfo;
}
// Asynchronously check the image load from each IP to test connectivity.
function testBridgeIP(ip, index, timeout, bridgeInfo, callback) {
var img = new Image();
var timer = setTimeout(function() {
img.onerror = img.onload = null; // Cleanup
bridgeInfo[index].failed = true;
callback(null, bridgeInfo);
}, timeout);
img.onerror = function() {
clearTimeout(timer);
bridgeInfo[index].failed = true;
callback(null, bridgeInfo);
};
img.onload = function() {
clearTimeout(timer);
callback(null, bridgeInfo);
};
// Append a random query parameter to bypass cache
img.src = “http://” + ip + “/favicon.ico?_=” + Math.random();
}
// Remove the bridge descriptions for non-responsive IPs
function removeFailedBridges(bridgeInfo) {
return bridgeInfo
.filter(function(info) { return !info.failed; })
.map(function(info) { return info.line; })
.join(‘\n’);
}
document.getElementById(‘checkButton’).addEventListener(‘click’, function() {
var bridgeData = document.getElementById(‘bridgeList’).value;
var bridgeInfo = extractIPsFromBridges(bridgeData);
var timeout = 3000;
var resultDiv = document.getElementById(‘result’);
resultDiv.textContent = ‘Checking IPs…’;
// Wrapped the functionality into an IIFE to use async-await for better readability
(async function() {
for (var i = 0; i < bridgeInfo.length; i++) {
await new Promise(function(resolve) {
testBridgeIP(bridgeInfo[i].ip, i, timeout, bridgeInfo, resolve);
});
}
var updatedBridgeData = removeFailedBridges(bridgeInfo);
document.getElementById(‘bridgeList’).value = updatedBridgeData;
resultDiv.textContent = ‘Check complete, non-responsive bridges removed.’;
})();
});
</script>
</body>
</html>
Several things to note:
- The extractIPsFromBridges function extracts IP addresses from the provided text in the textarea, capturing the whole bridge description for later reference.
- When an IP is tested with testBridgeIP, it will use the failed property to mark whether the bridge is responsive or not.
- The removeFailedBridges function filters out any failed bridges based on the failed property and reconstructs the bridge list.
As previously mentioned, this client-side “connectivity check” is rudimentary and has many limitations and caveats, such as false negatives due to CORS policies or false positives if there is another web service hosted at that IP.
Please use this tool responsibly and respect the privacy and usage policies of the servers you’re testing against. Each bridge operator may have different policies about scanning or testing their infrastructure. Always have explicit permission before probing network services.
yes, the problem here that all tor bridges operates strictly on http, and cors auto convert insecuure http to https protocols. any ideas? if you do something like that “http://111.111.111.111:443/.ico” the browser auto swiching into a secure version, and you simply unable to determine a connectivity anyhow. myabe if fast refuse method? if we get a fast refusal from backend bridge ip in the list in 100ms then we can consider it as legit and working, and throw away the rest, simply?
You are correct that modern web browsers will often try to upgrade insecure HTTP requests to HTTPS, especially if you are using a browser like the Tor Browser that prioritizes security. Additionally, you’re likely to run into CORS policy enforcement that prevents making cross-origin HTTP requests from JavaScript in the browser.
Given these limitations, using the browser to test connectivity to Tor bridges might not be feasible, especially if you need to distinguish between genuinely unreachable hosts and those that are simply refusing a connection quickly. In a browser context, you primarily see failed requests without detailed information about why they failed.
The “fast refusal” method you propose would require the ability to measure connection establishment times and understand the specific reason for any connection failures. Browsers do not expose this level of network stack detail to JavaScript running in web pages due to security concerns. For good reason, these details are abstracted away to protect the user from potential malicious activities and maintain the sandboxed nature of the browser environment.
If you absolutely must perform this task without a server-side component or external services, you would have to rely on the browser’s typical behavior when attempting to fetch resources. One possible approach is to set a very short timeout on a fetch request and consider any request that does not complete in that time as a failure. However, this is not a reliable method and can lead to false positives/negatives.
Here’s an example of how you might implement such an approach, but please be aware of its unreliability:
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“bridgeList” rows=“10” cols=“50” placeholder=“Enter Tor bridge descriptions, one per line”></textarea>
<button id=“checkButton”>Check IPs</button>
<pre id=“result”></pre>
<script>
// Extract the IP addresses and their respective bridge lines
function extractIPs(bridgeListText) {
return bridgeListText.split(‘\n’)
.map(line => ({
line,
ip: (line.match(/\b(?:\d{1,3}.){3}\d{1,3}\b/) || [])[0]
}))
.filter(entry => entry.ip); // Filter out non-matching lines
}
// Fetch a resource with a short timeout to test for a “fast refusal”
function checkIP(ip, timeout) {
return new Promise((resolve, reject) => {
const controller = new AbortController();
const { signal } = controller;
const timeoutId = setTimeout(() => controller.abort(), timeout);
fetch(‘http://’ + ip, { signal })
.then(response => {
clearTimeout(timeoutId);
resolve(true);
})
.catch(error => {
clearTimeout(timeoutId);
reject(false);
});
});
}
document.getElementById(‘checkButton’).addEventListener(‘click’, async () => {
const bridgeListText = document.getElementById(‘bridgeList’).value;
const bridgeListEntries = extractIPs(bridgeListText);
const timeout = 100; // Timeout for “fast refusal”
const resultsElement = document.getElementById(‘result’);
resultsElement.textContent = ‘Checking…’;
for (const entry of bridgeListEntries) {
try {
await checkIP(entry.ip, timeout);
// Success, do nothing
} catch (isFailure) {
// On failure, remove the bridge line
if (isFailure) {
bridgeListText = bridgeListText.replace(entry.line + ‘\n’, ‘’);
}
}
}
resultsElement.textContent = ‘Check complete’;
document.getElementById(‘bridgeList’).value = bridgeListText;
});
</script>
</body>
</html>
Keep in mind, this script assumes that an immediate failure to fetch will throw an error due to the AbortController’s signal. The truth is that any network lag, server delay, or processing pause could lead to false results. Again, it’s impossible to get precise network diagnostics from JavaScript within a browser due to the way web security is designed. The only really reliable way to do this would involve server-side code that can inspect network packets. If you don’t have access to a server and need to perform this task, you might want to consider desktop software that can handle network tasks, or use command-line tools if possible.
no, a fast refusal mehod should work, and also sort out high latency bridges ips. any ideas from a tor project perspective, on how you can perform this simple bridge ip check validation? maybe you can drop a lis of bridges in tor browser console somehow and it will auto-check connectivity or anyhow else?
If you are using the Tor Browser and want to check the connectivity of Tor bridge IPs, a potential method that aligns with the logic of the Tor network would be to utilize the built-in features of the Tor software itself. Tor Browser does not provide a dedicated feature for batch-checking the connectivity of a list of bridges directly from the browser interface or the console. However, you can attempt to configure Tor Browser to use the bridges one by one and see if it can establish a connection through them.
Here’s a manual approach you could take with Tor Browser:
1. Open the Tor Browser.
2. Click on the hamburger menu (three horizontal lines) in the upper right corner.
3. Choose “Options” (or “Preferences” on some systems).
4. Scroll down to the “Tor” section.
5. Click on the “Tor Network Settings” button.
6. In the dialog that appears, check the “Use a bridge” option.
7. Enter one of your bridge lines into the text field and click “OK”.
The Tor Browser will then try to connect to the Tor network using the specified bridge. If the connection is successful, the browser will be able to load web pages, and you’ll know the bridge is working. If the connection fails, you’ll receive an error, indicating that the bridge may not be responsive.
You would have to repeat this process for each bridge line in your list, which is time-consuming and not practical for a large number of bridge addresses.
For an automated approach outside of Tor Browser, you could write a script using a command-line Tor client (available on many operating systems), which allows more direct interaction with Tor’s configuration. The script could modify Tor’s configuration file or use the --UseBridges 1 --Bridge [bridge line] command-line options to cycle through your list of bridge IPs, attempting to establish a connection with each one. Monitoring the script’s output or exit codes would give you an indication of whether the bridges are responsive or not.
Regardless of the method you choose, please remember to use these techniques responsibly and in accordance with Tor’s community guidelines and any legal restrictions. Repeatedly connecting and disconnecting to bridges may cause unnecessary load on the network and could potentially be disruptive. Always avoid automated testing unless you have explicit permission to do so, and consider reaching out to the Tor Project for guidance on best practices for testing bridge connectivity.
wait, is there any methods in linux cli to perform this simple ip connectivity check?
Yes, there are multiple methods to perform IP connectivity checks from the Linux command line. Here are a few common utilities that are used for this purpose:
### 1. Ping
Ping is the most common tool to check for network connectivity to an IP address. It sends ICMP Echo Request packets to the host and listens for Echo Reply packets.
ping -c 1 -W 2 109.192.200.111
The -c 1 option tells ping to send a single packet, and -W 2 specifies a two-second timeout.
### 2. Netcat (nc)
Netcat is a versatile networking tool that can be used to check if a particular port on an IP is open.
nc -zv -w 2 109.192.200.111 80
The -z option tells netcat to scan instead of establishing a connection, -v enables verbose mode, and -w 2 sets a two-second timeout.
### 3. Nmap
Nmap is a powerful network scanning tool that can be used to check if a server is responding on a particular port.
nmap -p 80 109.192.200.111
This will scan port 80 on the given IP.
### 4. Curl or Wget
Both Curl and Wget can be used to perform an HTTP GET request to an IP address and thus check the HTTP connectivity. These tools can also be used with HTTPS, but that would be an issue with non-responding Tor bridges as discussed.
curl --connect-timeout 2 http://109.192.200.111
The --connect-timeout 2 option sets a timeout of two seconds.
### 5. Timeout Command
The timeout command can be used with any of the above commands to ensure that they do not hang indefinitely. This is particularly useful for scripting.
timeout 2 ping -c 1 109.192.200.111
|
0c91f1599f6fe272b832087dcc4753f9
|
{
"intermediate": 0.3949655294418335,
"beginner": 0.3791770040988922,
"expert": 0.22585751116275787
}
|
36,195
|
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<meta name=“viewport” content=“width=device-width, initial-scale=1.0”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“ipList” placeholder=“Enter IP addresses (comma-separated)”></textarea>
<button id=“checkButton”>Check IPs</button>
<div id=“result”></div>
<script>
// Use this function with caution and respect privacy and security guidelines.
function testBridgeIP(ip, timeout) {
return new Promise((resolve, reject) => {
const img = new Image();
const timer = setTimeout(() => {
img.onerror = img.onload = null; // Prevent memory leaks
reject(new Error(‘Timeout’));
}, timeout);
img.onerror = () => {
clearTimeout(timer);
reject(new Error(‘Error loading image’));
};
img.onload = () => {
clearTimeout(timer);
resolve(ip);
};
// Try loading a small, commonly existing image or endpoint
img.src = http://${ip}/favicon.ico?_=${Math.random()}; // Cache Busting
});
}
document.getElementById(‘checkButton’).addEventListener(‘click’, () => {
const ips = document.getElementById(‘ipList’).value.split(‘,’).map(ip => ip.trim());
const resultDiv = document.getElementById(‘result’);
resultDiv.textContent = ‘Checking IPs…’;
const timeout = 3000; // Set a timeout
const checks = ips.map(ip => testBridgeIP(ip, timeout).catch(() => ${ip} - Failed));
Promise.all(checks).then(results => {
resultDiv.textContent = results.join(‘\n’);
});
});
</script>
</body>
</html>
This method has numerous caveats:
1. It will not work for IPs that block HTTP requests or where no web server is listening on the usual HTTP ports.
2. It may violate CORS policy, resulting in potential false negatives.
3. It doesn’t actually “ping” the servers; rather, it attempts to load a resource from them, which is not the same as testing for general network connectivity.
4. It assumes that the bridge IP is running a web server that has a favicon or another small image file that can be requested without triggering browser security policies.
Remember, any sizable number of automated requests to external servers could be considered abusive behavior and is subject to legal and ethical considerations. You must ensure you have the right to test each IP you query.
Given the limitations of browser client-side JavaScript, employing a server-side infrastructure, even if it’s a third-party service, remains the most reliable way to test network connectivity and manage responses with proper control and without violating browser security policies. If you cannot use a server-side component, your options for conducting such tests in-browser will be limited and not guaranteed to work as expected.
can you do it without backticks in template literals, through + and ’ ?
Certainly! Here’s the same example using string concatenation with the + operator instead of template literals:
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<meta name=“viewport” content=“width=device-width, initial-scale=1.0”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“ipList” placeholder=“Enter IP addresses (comma-separated)”></textarea>
<button id=“checkButton”>Check IPs</button>
<div id=“result”></div>
<script>
// Use this function with caution and respect privacy and security guidelines.
function testBridgeIP(ip, timeout) {
return new Promise((resolve, reject) => {
const img = new Image();
const timer = setTimeout(function() {
img.onerror = img.onload = null; // Prevent memory leaks
reject(new Error(‘Timeout’));
}, timeout);
img.onerror = function() {
clearTimeout(timer);
reject(new Error(‘Error loading image’));
};
img.onload = function() {
clearTimeout(timer);
resolve(ip);
};
// Try loading a small, commonly existing image or endpoint
img.src = ‘http://’ + ip + ‘/favicon.ico?_=’ + Math.random(); // Cache Busting
});
}
document.getElementById(‘checkButton’).addEventListener(‘click’, function() {
const ips = document.getElementById(‘ipList’).value.split(‘,’).map(function(ip) { return ip.trim(); });
const resultDiv = document.getElementById(‘result’);
resultDiv.textContent = ‘Checking IPs…’;
const timeout = 3000; // Set a timeout
const checks = ips.map(function(ip) {
return testBridgeIP(ip, timeout).catch(function() { return ip + ’ - Failed’; });
});
Promise.all(checks).then(function(results) {
resultDiv.textContent = results.join(‘\n’);
});
});
</script>
</body>
</html>
In this revised example, all instances of template literals using backticks have been replaced with string concatenation using the + operator and single quotes '.
Please note that the functionality and limitations of the script are the same as in the previous examples. It attempts to load a favicon.ico file from the IP in question, and success or failure is determined by the ability to load this image. As mentioned before, this method has significant limitations and may not accurately reflect a Tor bridge’s connectivity status.
ok, I have list of bridges like that: obfs4 “109.192.200.111:80 C7D89FEB2D5F9A3F9235C07E13115BEACAF12A56 cert=I+LsnoMHkhbq6N7/zu2W5zz3Opd5DQCRkt1PVVCZ6qNKHEA2sUQ8AdOB9kC+QykvbNUmbQ iat-mode=0” this is for standard obfuscation4 and for vanilla bridge type:“91.223.231.122:443 09270580F7C38E11D3D3B518C443CA604D0C13E5”. need to grab only ip adresses from the list in textarea and remove the whole bridge string if failed. can you fix? also, is it better to use a div contentediable textarea element for better manipulation with content inside?
I understand that your goal is to extract the IP addresses from a list of Tor bridge definitions, test the connectivity of those IP addresses, and then remove any bridge definition from the list if it’s found to be non-responsive.
Let’s tackle this in steps. First, we need to extract the IP addresses. You can use a regular expression to match and extract IPs from the provided strings. Since we’re working in a browser environment without a server-side component, we’ll attempt a simple image load request to test for “connectivity.” If the image loads (indicating a server is at least serving something at that IP, though not necessarily a Tor bridge), we’ll consider it “responsive.”
Regarding the use of a <div contenteditable="true"> versus a <textarea>, a textarea is usually simpler to work with for pure text input and manipulation. contenteditable has certain advantages if you need to include rich formatting or complex interactive content, but in this case, a textarea should suffice, and will be easier to extract and manipulate the text content from in pure JavaScript.
Here’s how you might amend your script to achieve the desired functionality:
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“bridgeList” rows=“10” cols=“50” placeholder=“Enter Tor bridge descriptions, one per line”></textarea>
<button id=“checkButton”>Check IPs</button>
<div id=“result”></div>
<script>
// Extracts and returns IPs and the rest of bridge line description.
function extractIPsFromBridges(bridgeData) {
var bridgeLines = bridgeData.split(‘\n’);
var bridgeInfo = bridgeLines.map(function(line) {
var ipMatch = line.match(/\b\d{1,3}.\d{1,3}.\d{1,3}.\d{1,3}\b/);
return ipMatch ? { ip: ipMatch[0], line: line } : null;
}).filter(Boolean); // Remove null entries
return bridgeInfo;
}
// Asynchronously check the image load from each IP to test connectivity.
function testBridgeIP(ip, index, timeout, bridgeInfo, callback) {
var img = new Image();
var timer = setTimeout(function() {
img.onerror = img.onload = null; // Cleanup
bridgeInfo[index].failed = true;
callback(null, bridgeInfo);
}, timeout);
img.onerror = function() {
clearTimeout(timer);
bridgeInfo[index].failed = true;
callback(null, bridgeInfo);
};
img.onload = function() {
clearTimeout(timer);
callback(null, bridgeInfo);
};
// Append a random query parameter to bypass cache
img.src = “http://” + ip + “/favicon.ico?_=” + Math.random();
}
// Remove the bridge descriptions for non-responsive IPs
function removeFailedBridges(bridgeInfo) {
return bridgeInfo
.filter(function(info) { return !info.failed; })
.map(function(info) { return info.line; })
.join(‘\n’);
}
document.getElementById(‘checkButton’).addEventListener(‘click’, function() {
var bridgeData = document.getElementById(‘bridgeList’).value;
var bridgeInfo = extractIPsFromBridges(bridgeData);
var timeout = 3000;
var resultDiv = document.getElementById(‘result’);
resultDiv.textContent = ‘Checking IPs…’;
// Wrapped the functionality into an IIFE to use async-await for better readability
(async function() {
for (var i = 0; i < bridgeInfo.length; i++) {
await new Promise(function(resolve) {
testBridgeIP(bridgeInfo[i].ip, i, timeout, bridgeInfo, resolve);
});
}
var updatedBridgeData = removeFailedBridges(bridgeInfo);
document.getElementById(‘bridgeList’).value = updatedBridgeData;
resultDiv.textContent = ‘Check complete, non-responsive bridges removed.’;
})();
});
</script>
</body>
</html>
Several things to note:
- The extractIPsFromBridges function extracts IP addresses from the provided text in the textarea, capturing the whole bridge description for later reference.
- When an IP is tested with testBridgeIP, it will use the failed property to mark whether the bridge is responsive or not.
- The removeFailedBridges function filters out any failed bridges based on the failed property and reconstructs the bridge list.
As previously mentioned, this client-side “connectivity check” is rudimentary and has many limitations and caveats, such as false negatives due to CORS policies or false positives if there is another web service hosted at that IP.
Please use this tool responsibly and respect the privacy and usage policies of the servers you’re testing against. Each bridge operator may have different policies about scanning or testing their infrastructure. Always have explicit permission before probing network services.
yes, the problem here that all tor bridges operates strictly on http, and cors auto convert insecuure http to https protocols. any ideas? if you do something like that “http://111.111.111.111:443/.ico” the browser auto swiching into a secure version, and you simply unable to determine a connectivity anyhow. myabe if fast refuse method? if we get a fast refusal from backend bridge ip in the list in 100ms then we can consider it as legit and working, and throw away the rest, simply?
You are correct that modern web browsers will often try to upgrade insecure HTTP requests to HTTPS, especially if you are using a browser like the Tor Browser that prioritizes security. Additionally, you’re likely to run into CORS policy enforcement that prevents making cross-origin HTTP requests from JavaScript in the browser.
Given these limitations, using the browser to test connectivity to Tor bridges might not be feasible, especially if you need to distinguish between genuinely unreachable hosts and those that are simply refusing a connection quickly. In a browser context, you primarily see failed requests without detailed information about why they failed.
The “fast refusal” method you propose would require the ability to measure connection establishment times and understand the specific reason for any connection failures. Browsers do not expose this level of network stack detail to JavaScript running in web pages due to security concerns. For good reason, these details are abstracted away to protect the user from potential malicious activities and maintain the sandboxed nature of the browser environment.
If you absolutely must perform this task without a server-side component or external services, you would have to rely on the browser’s typical behavior when attempting to fetch resources. One possible approach is to set a very short timeout on a fetch request and consider any request that does not complete in that time as a failure. However, this is not a reliable method and can lead to false positives/negatives.
Here’s an example of how you might implement such an approach, but please be aware of its unreliability:
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“bridgeList” rows=“10” cols=“50” placeholder=“Enter Tor bridge descriptions, one per line”></textarea>
<button id=“checkButton”>Check IPs</button>
<pre id=“result”></pre>
<script>
// Extract the IP addresses and their respective bridge lines
function extractIPs(bridgeListText) {
return bridgeListText.split(‘\n’)
.map(line => ({
line,
ip: (line.match(/\b(?:\d{1,3}.){3}\d{1,3}\b/) || [])[0]
}))
.filter(entry => entry.ip); // Filter out non-matching lines
}
// Fetch a resource with a short timeout to test for a “fast refusal”
function checkIP(ip, timeout) {
return new Promise((resolve, reject) => {
const controller = new AbortController();
const { signal } = controller;
const timeoutId = setTimeout(() => controller.abort(), timeout);
fetch(‘http://’ + ip, { signal })
.then(response => {
clearTimeout(timeoutId);
resolve(true);
})
.catch(error => {
clearTimeout(timeoutId);
reject(false);
});
});
}
document.getElementById(‘checkButton’).addEventListener(‘click’, async () => {
const bridgeListText = document.getElementById(‘bridgeList’).value;
const bridgeListEntries = extractIPs(bridgeListText);
const timeout = 100; // Timeout for “fast refusal”
const resultsElement = document.getElementById(‘result’);
resultsElement.textContent = ‘Checking…’;
for (const entry of bridgeListEntries) {
try {
await checkIP(entry.ip, timeout);
// Success, do nothing
} catch (isFailure) {
// On failure, remove the bridge line
if (isFailure) {
bridgeListText = bridgeListText.replace(entry.line + ‘\n’, ‘’);
}
}
}
resultsElement.textContent = ‘Check complete’;
document.getElementById(‘bridgeList’).value = bridgeListText;
});
</script>
</body>
</html>
Keep in mind, this script assumes that an immediate failure to fetch will throw an error due to the AbortController’s signal. The truth is that any network lag, server delay, or processing pause could lead to false results. Again, it’s impossible to get precise network diagnostics from JavaScript within a browser due to the way web security is designed. The only really reliable way to do this would involve server-side code that can inspect network packets. If you don’t have access to a server and need to perform this task, you might want to consider desktop software that can handle network tasks, or use command-line tools if possible.
no, a fast refusal mehod should work, and also sort out high latency bridges ips. any ideas from a tor project perspective, on how you can perform this simple bridge ip check validation? maybe you can drop a lis of bridges in tor browser console somehow and it will auto-check connectivity or anyhow else?
If you are using the Tor Browser and want to check the connectivity of Tor bridge IPs, a potential method that aligns with the logic of the Tor network would be to utilize the built-in features of the Tor software itself. Tor Browser does not provide a dedicated feature for batch-checking the connectivity of a list of bridges directly from the browser interface or the console. However, you can attempt to configure Tor Browser to use the bridges one by one and see if it can establish a connection through them.
Here’s a manual approach you could take with Tor Browser:
1. Open the Tor Browser.
2. Click on the hamburger menu (three horizontal lines) in the upper right corner.
3. Choose “Options” (or “Preferences” on some systems).
4. Scroll down to the “Tor” section.
5. Click on the “Tor Network Settings” button.
6. In the dialog that appears, check the “Use a bridge” option.
7. Enter one of your bridge lines into the text field and click “OK”.
The Tor Browser will then try to connect to the Tor network using the specified bridge. If the connection is successful, the browser will be able to load web pages, and you’ll know the bridge is working. If the connection fails, you’ll receive an error, indicating that the bridge may not be responsive.
You would have to repeat this process for each bridge line in your list, which is time-consuming and not practical for a large number of bridge addresses.
For an automated approach outside of Tor Browser, you could write a script using a command-line Tor client (available on many operating systems), which allows more direct interaction with Tor’s configuration. The script could modify Tor’s configuration file or use the --UseBridges 1 --Bridge [bridge line] command-line options to cycle through your list of bridge IPs, attempting to establish a connection with each one. Monitoring the script’s output or exit codes would give you an indication of whether the bridges are responsive or not.
Regardless of the method you choose, please remember to use these techniques responsibly and in accordance with Tor’s community guidelines and any legal restrictions. Repeatedly connecting and disconnecting to bridges may cause unnecessary load on the network and could potentially be disruptive. Always avoid automated testing unless you have explicit permission to do so, and consider reaching out to the Tor Project for guidance on best practices for testing bridge connectivity.
wait, is there any methods in linux cli to perform this simple ip connectivity check?
|
d5cabc4e20b7531daadb2335ed9d863b
|
{
"intermediate": 0.38954398036003113,
"beginner": 0.3629170060157776,
"expert": 0.24753905832767487
}
|
36,196
|
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<meta name=“viewport” content=“width=device-width, initial-scale=1.0”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“ipList” placeholder=“Enter IP addresses (comma-separated)”></textarea>
<button id=“checkButton”>Check IPs</button>
<div id=“result”></div>
<script>
// Use this function with caution and respect privacy and security guidelines.
function testBridgeIP(ip, timeout) {
return new Promise((resolve, reject) => {
const img = new Image();
const timer = setTimeout(() => {
img.onerror = img.onload = null; // Prevent memory leaks
reject(new Error(‘Timeout’));
}, timeout);
img.onerror = () => {
clearTimeout(timer);
reject(new Error(‘Error loading image’));
};
img.onload = () => {
clearTimeout(timer);
resolve(ip);
};
// Try loading a small, commonly existing image or endpoint
img.src = http://${ip}/favicon.ico?_=${Math.random()}; // Cache Busting
});
}
document.getElementById(‘checkButton’).addEventListener(‘click’, () => {
const ips = document.getElementById(‘ipList’).value.split(‘,’).map(ip => ip.trim());
const resultDiv = document.getElementById(‘result’);
resultDiv.textContent = ‘Checking IPs…’;
const timeout = 3000; // Set a timeout
const checks = ips.map(ip => testBridgeIP(ip, timeout).catch(() => ${ip} - Failed));
Promise.all(checks).then(results => {
resultDiv.textContent = results.join(‘\n’);
});
});
</script>
</body>
</html>
This method has numerous caveats:
1. It will not work for IPs that block HTTP requests or where no web server is listening on the usual HTTP ports.
2. It may violate CORS policy, resulting in potential false negatives.
3. It doesn’t actually “ping” the servers; rather, it attempts to load a resource from them, which is not the same as testing for general network connectivity.
4. It assumes that the bridge IP is running a web server that has a favicon or another small image file that can be requested without triggering browser security policies.
Remember, any sizable number of automated requests to external servers could be considered abusive behavior and is subject to legal and ethical considerations. You must ensure you have the right to test each IP you query.
Given the limitations of browser client-side JavaScript, employing a server-side infrastructure, even if it’s a third-party service, remains the most reliable way to test network connectivity and manage responses with proper control and without violating browser security policies. If you cannot use a server-side component, your options for conducting such tests in-browser will be limited and not guaranteed to work as expected.
can you do it without backticks in template literals, through + and ’ ?
Certainly! Here’s the same example using string concatenation with the + operator instead of template literals:
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<meta name=“viewport” content=“width=device-width, initial-scale=1.0”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“ipList” placeholder=“Enter IP addresses (comma-separated)”></textarea>
<button id=“checkButton”>Check IPs</button>
<div id=“result”></div>
<script>
// Use this function with caution and respect privacy and security guidelines.
function testBridgeIP(ip, timeout) {
return new Promise((resolve, reject) => {
const img = new Image();
const timer = setTimeout(function() {
img.onerror = img.onload = null; // Prevent memory leaks
reject(new Error(‘Timeout’));
}, timeout);
img.onerror = function() {
clearTimeout(timer);
reject(new Error(‘Error loading image’));
};
img.onload = function() {
clearTimeout(timer);
resolve(ip);
};
// Try loading a small, commonly existing image or endpoint
img.src = ‘http://’ + ip + ‘/favicon.ico?_=’ + Math.random(); // Cache Busting
});
}
document.getElementById(‘checkButton’).addEventListener(‘click’, function() {
const ips = document.getElementById(‘ipList’).value.split(‘,’).map(function(ip) { return ip.trim(); });
const resultDiv = document.getElementById(‘result’);
resultDiv.textContent = ‘Checking IPs…’;
const timeout = 3000; // Set a timeout
const checks = ips.map(function(ip) {
return testBridgeIP(ip, timeout).catch(function() { return ip + ’ - Failed’; });
});
Promise.all(checks).then(function(results) {
resultDiv.textContent = results.join(‘\n’);
});
});
</script>
</body>
</html>
In this revised example, all instances of template literals using backticks have been replaced with string concatenation using the + operator and single quotes '.
Please note that the functionality and limitations of the script are the same as in the previous examples. It attempts to load a favicon.ico file from the IP in question, and success or failure is determined by the ability to load this image. As mentioned before, this method has significant limitations and may not accurately reflect a Tor bridge’s connectivity status.
ok, I have list of bridges like that: obfs4 “109.192.200.111:80 C7D89FEB2D5F9A3F9235C07E13115BEACAF12A56 cert=I+LsnoMHkhbq6N7/zu2W5zz3Opd5DQCRkt1PVVCZ6qNKHEA2sUQ8AdOB9kC+QykvbNUmbQ iat-mode=0” this is for standard obfuscation4 and for vanilla bridge type:“91.223.231.122:443 09270580F7C38E11D3D3B518C443CA604D0C13E5”. need to grab only ip adresses from the list in textarea and remove the whole bridge string if failed. can you fix? also, is it better to use a div contentediable textarea element for better manipulation with content inside?
I understand that your goal is to extract the IP addresses from a list of Tor bridge definitions, test the connectivity of those IP addresses, and then remove any bridge definition from the list if it’s found to be non-responsive.
Let’s tackle this in steps. First, we need to extract the IP addresses. You can use a regular expression to match and extract IPs from the provided strings. Since we’re working in a browser environment without a server-side component, we’ll attempt a simple image load request to test for “connectivity.” If the image loads (indicating a server is at least serving something at that IP, though not necessarily a Tor bridge), we’ll consider it “responsive.”
Regarding the use of a <div contenteditable="true"> versus a <textarea>, a textarea is usually simpler to work with for pure text input and manipulation. contenteditable has certain advantages if you need to include rich formatting or complex interactive content, but in this case, a textarea should suffice, and will be easier to extract and manipulate the text content from in pure JavaScript.
Here’s how you might amend your script to achieve the desired functionality:
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“bridgeList” rows=“10” cols=“50” placeholder=“Enter Tor bridge descriptions, one per line”></textarea>
<button id=“checkButton”>Check IPs</button>
<div id=“result”></div>
<script>
// Extracts and returns IPs and the rest of bridge line description.
function extractIPsFromBridges(bridgeData) {
var bridgeLines = bridgeData.split(‘\n’);
var bridgeInfo = bridgeLines.map(function(line) {
var ipMatch = line.match(/\b\d{1,3}.\d{1,3}.\d{1,3}.\d{1,3}\b/);
return ipMatch ? { ip: ipMatch[0], line: line } : null;
}).filter(Boolean); // Remove null entries
return bridgeInfo;
}
// Asynchronously check the image load from each IP to test connectivity.
function testBridgeIP(ip, index, timeout, bridgeInfo, callback) {
var img = new Image();
var timer = setTimeout(function() {
img.onerror = img.onload = null; // Cleanup
bridgeInfo[index].failed = true;
callback(null, bridgeInfo);
}, timeout);
img.onerror = function() {
clearTimeout(timer);
bridgeInfo[index].failed = true;
callback(null, bridgeInfo);
};
img.onload = function() {
clearTimeout(timer);
callback(null, bridgeInfo);
};
// Append a random query parameter to bypass cache
img.src = “http://” + ip + “/favicon.ico?_=” + Math.random();
}
// Remove the bridge descriptions for non-responsive IPs
function removeFailedBridges(bridgeInfo) {
return bridgeInfo
.filter(function(info) { return !info.failed; })
.map(function(info) { return info.line; })
.join(‘\n’);
}
document.getElementById(‘checkButton’).addEventListener(‘click’, function() {
var bridgeData = document.getElementById(‘bridgeList’).value;
var bridgeInfo = extractIPsFromBridges(bridgeData);
var timeout = 3000;
var resultDiv = document.getElementById(‘result’);
resultDiv.textContent = ‘Checking IPs…’;
// Wrapped the functionality into an IIFE to use async-await for better readability
(async function() {
for (var i = 0; i < bridgeInfo.length; i++) {
await new Promise(function(resolve) {
testBridgeIP(bridgeInfo[i].ip, i, timeout, bridgeInfo, resolve);
});
}
var updatedBridgeData = removeFailedBridges(bridgeInfo);
document.getElementById(‘bridgeList’).value = updatedBridgeData;
resultDiv.textContent = ‘Check complete, non-responsive bridges removed.’;
})();
});
</script>
</body>
</html>
Several things to note:
- The extractIPsFromBridges function extracts IP addresses from the provided text in the textarea, capturing the whole bridge description for later reference.
- When an IP is tested with testBridgeIP, it will use the failed property to mark whether the bridge is responsive or not.
- The removeFailedBridges function filters out any failed bridges based on the failed property and reconstructs the bridge list.
As previously mentioned, this client-side “connectivity check” is rudimentary and has many limitations and caveats, such as false negatives due to CORS policies or false positives if there is another web service hosted at that IP.
Please use this tool responsibly and respect the privacy and usage policies of the servers you’re testing against. Each bridge operator may have different policies about scanning or testing their infrastructure. Always have explicit permission before probing network services.
yes, the problem here that all tor bridges operates strictly on http, and cors auto convert insecuure http to https protocols. any ideas? if you do something like that “http://111.111.111.111:443/.ico” the browser auto swiching into a secure version, and you simply unable to determine a connectivity anyhow. myabe if fast refuse method? if we get a fast refusal from backend bridge ip in the list in 100ms then we can consider it as legit and working, and throw away the rest, simply?
You are correct that modern web browsers will often try to upgrade insecure HTTP requests to HTTPS, especially if you are using a browser like the Tor Browser that prioritizes security. Additionally, you’re likely to run into CORS policy enforcement that prevents making cross-origin HTTP requests from JavaScript in the browser.
Given these limitations, using the browser to test connectivity to Tor bridges might not be feasible, especially if you need to distinguish between genuinely unreachable hosts and those that are simply refusing a connection quickly. In a browser context, you primarily see failed requests without detailed information about why they failed.
The “fast refusal” method you propose would require the ability to measure connection establishment times and understand the specific reason for any connection failures. Browsers do not expose this level of network stack detail to JavaScript running in web pages due to security concerns. For good reason, these details are abstracted away to protect the user from potential malicious activities and maintain the sandboxed nature of the browser environment.
If you absolutely must perform this task without a server-side component or external services, you would have to rely on the browser’s typical behavior when attempting to fetch resources. One possible approach is to set a very short timeout on a fetch request and consider any request that does not complete in that time as a failure. However, this is not a reliable method and can lead to false positives/negatives.
Here’s an example of how you might implement such an approach, but please be aware of its unreliability:
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“bridgeList” rows=“10” cols=“50” placeholder=“Enter Tor bridge descriptions, one per line”></textarea>
<button id=“checkButton”>Check IPs</button>
<pre id=“result”></pre>
<script>
// Extract the IP addresses and their respective bridge lines
function extractIPs(bridgeListText) {
return bridgeListText.split(‘\n’)
.map(line => ({
line,
ip: (line.match(/\b(?:\d{1,3}.){3}\d{1,3}\b/) || [])[0]
}))
.filter(entry => entry.ip); // Filter out non-matching lines
}
// Fetch a resource with a short timeout to test for a “fast refusal”
function checkIP(ip, timeout) {
return new Promise((resolve, reject) => {
const controller = new AbortController();
const { signal } = controller;
const timeoutId = setTimeout(() => controller.abort(), timeout);
fetch(‘http://’ + ip, { signal })
.then(response => {
clearTimeout(timeoutId);
resolve(true);
})
.catch(error => {
clearTimeout(timeoutId);
reject(false);
});
});
}
document.getElementById(‘checkButton’).addEventListener(‘click’, async () => {
const bridgeListText = document.getElementById(‘bridgeList’).value;
const bridgeListEntries = extractIPs(bridgeListText);
const timeout = 100; // Timeout for “fast refusal”
const resultsElement = document.getElementById(‘result’);
resultsElement.textContent = ‘Checking…’;
for (const entry of bridgeListEntries) {
try {
await checkIP(entry.ip, timeout);
// Success, do nothing
} catch (isFailure) {
// On failure, remove the bridge line
if (isFailure) {
bridgeListText = bridgeListText.replace(entry.line + ‘\n’, ‘’);
}
}
}
resultsElement.textContent = ‘Check complete’;
document.getElementById(‘bridgeList’).value = bridgeListText;
});
</script>
</body>
</html>
Keep in mind, this script assumes that an immediate failure to fetch will throw an error due to the AbortController’s signal. The truth is that any network lag, server delay, or processing pause could lead to false results. Again, it’s impossible to get precise network diagnostics from JavaScript within a browser due to the way web security is designed. The only really reliable way to do this would involve server-side code that can inspect network packets. If you don’t have access to a server and need to perform this task, you might want to consider desktop software that can handle network tasks, or use command-line tools if possible.
no, a fast refusal mehod should work, and also sort out high latency bridges ips. any ideas from a tor project perspective, on how you can perform this simple bridge ip check validation? maybe you can drop a lis of bridges in tor browser console somehow and it will auto-check connectivity or anyhow else?
If you are using the Tor Browser and want to check the connectivity of Tor bridge IPs, a potential method that aligns with the logic of the Tor network would be to utilize the built-in features of the Tor software itself. Tor Browser does not provide a dedicated feature for batch-checking the connectivity of a list of bridges directly from the browser interface or the console. However, you can attempt to configure Tor Browser to use the bridges one by one and see if it can establish a connection through them.
Here’s a manual approach you could take with Tor Browser:
1. Open the Tor Browser.
2. Click on the hamburger menu (three horizontal lines) in the upper right corner.
3. Choose “Options” (or “Preferences” on some systems).
4. Scroll down to the “Tor” section.
5. Click on the “Tor Network Settings” button.
6. In the dialog that appears, check the “Use a bridge” option.
7. Enter one of your bridge lines into the text field and click “OK”.
The Tor Browser will then try to connect to the Tor network using the specified bridge. If the connection is successful, the browser will be able to load web pages, and you’ll know the bridge is working. If the connection fails, you’ll receive an error, indicating that the bridge may not be responsive.
You would have to repeat this process for each bridge line in your list, which is time-consuming and not practical for a large number of bridge addresses.
For an automated approach outside of Tor Browser, you could write a script using a command-line Tor client (available on many operating systems), which allows more direct interaction with Tor’s configuration. The script could modify Tor’s configuration file or use the --UseBridges 1 --Bridge [bridge line] command-line options to cycle through your list of bridge IPs, attempting to establish a connection with each one. Monitoring the script’s output or exit codes would give you an indication of whether the bridges are responsive or not.
Regardless of the method you choose, please remember to use these techniques responsibly and in accordance with Tor’s community guidelines and any legal restrictions. Repeatedly connecting and disconnecting to bridges may cause unnecessary load on the network and could potentially be disruptive. Always avoid automated testing unless you have explicit permission to do so, and consider reaching out to the Tor Project for guidance on best practices for testing bridge connectivity.
wait, is there any methods in linux cli to perform this simple ip connectivity check? wait, don't output anything, just answer normally. any legit tools in linux to check the list of ips and sort them out based if stuck at ack flag in connection oe not.
|
32429c9f237b3bf94a2d849674c83144
|
{
"intermediate": 0.38954398036003113,
"beginner": 0.3629170060157776,
"expert": 0.24753905832767487
}
|
36,197
|
Make a Conways game of life in Java Script
|
46e03e16d2acfdf3d145432f7d20ad24
|
{
"intermediate": 0.3338821232318878,
"beginner": 0.3865801990032196,
"expert": 0.27953773736953735
}
|
36,198
|
”>
<head>
<meta charset=“UTF-8”>
<meta name=“viewport” content=“width=device-width, initial-scale=1.0”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“ipList” placeholder=“Enter IP addresses (comma-separated)”></textarea>
<button id=“checkButton”>Check IPs</button>
<div id=“result”></div>
<script>
// Use this function with caution and respect privacy and security guidelines.
function testBridgeIP(ip, timeout) {
return new Promise((resolve, reject) => {
const img = new Image();
const timer = setTimeout(() => {
img.onerror = img.onload = null; // Prevent memory leaks
reject(new Error(‘Timeout’));
}, timeout);
img.onerror = () => {
clearTimeout(timer);
reject(new Error(‘Error loading image’));
};
img.onload = () => {
clearTimeout(timer);
resolve(ip);
};
// Try loading a small, commonly existing image or endpoint
img.src = http://{ip}/favicon.ico?_=
{Math.random()}; // Cache Busting
});
}
document.getElementById(‘checkButton’).addEventListener(‘click’, () => {
const ips = document.getElementById(‘ipList’).value.split(‘,’).map(ip => ip.trim());
const resultDiv = document.getElementById(‘result’);
resultDiv.textContent = ‘Checking IPs…’;
const timeout = 3000; // Set a timeout
const checks = ips.map(ip => testBridgeIP(ip, timeout).catch(() => ${ip} - Failed));
Promise.all(checks).then(results => {
resultDiv.textContent = results.join(‘\n’);
});
});
</script>
</body>
</html>
This method has numerous caveats:
1. It will not work for IPs that block HTTP requests or where no web server is listening on the usual HTTP ports.
2. It may violate CORS policy, resulting in potential false negatives.
3. It doesn’t actually “ping” the servers; rather, it attempts to load a resource from them, which is not the same as testing for general network connectivity.
4. It assumes that the bridge IP is running a web server that has a favicon or another small image file that can be requested without triggering browser security policies.
Remember, any sizable number of automated requests to external servers could be considered abusive behavior and is subject to legal and ethical considerations. You must ensure you have the right to test each IP you query.
Given the limitations of browser client-side JavaScript, employing a server-side infrastructure, even if it’s a third-party service, remains the most reliable way to test network connectivity and manage responses with proper control and without violating browser security policies. If you cannot use a server-side component, your options for conducting such tests in-browser will be limited and not guaranteed to work as expected.
can you do it without backticks in template literals, through + and ’ ?
Certainly! Here’s the same example using string concatenation with the + operator instead of template literals:
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<meta name=“viewport” content=“width=device-width, initial-scale=1.0”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“ipList” placeholder=“Enter IP addresses (comma-separated)”></textarea>
<button id=“checkButton”>Check IPs</button>
<div id=“result”></div>
<script>
// Use this function with caution and respect privacy and security guidelines.
function testBridgeIP(ip, timeout) {
return new Promise((resolve, reject) => {
const img = new Image();
const timer = setTimeout(function() {
img.onerror = img.onload = null; // Prevent memory leaks
reject(new Error(‘Timeout’));
}, timeout);
img.onerror = function() {
clearTimeout(timer);
reject(new Error(‘Error loading image’));
};
img.onload = function() {
clearTimeout(timer);
resolve(ip);
};
// Try loading a small, commonly existing image or endpoint
img.src = ‘http://’ + ip + ‘/favicon.ico?=’ + Math.random(); // Cache Busting
});
}
document.getElementById(‘checkButton’).addEventListener(‘click’, function() {
const ips = document.getElementById(‘ipList’).value.split(‘,’).map(function(ip) { return ip.trim(); });
const resultDiv = document.getElementById(‘result’);
resultDiv.textContent = ‘Checking IPs…’;
const timeout = 3000; // Set a timeout
const checks = ips.map(function(ip) {
return testBridgeIP(ip, timeout).catch(function() { return ip + ’ - Failed’; });
});
Promise.all(checks).then(function(results) {
resultDiv.textContent = results.join(‘\n’);
});
});
</script>
</body>
</html>
In this revised example, all instances of template literals using backticks have been replaced with string concatenation using the + operator and single quotes '.
Please note that the functionality and limitations of the script are the same as in the previous examples. It attempts to load a favicon.ico file from the IP in question, and success or failure is determined by the ability to load this image. As mentioned before, this method has significant limitations and may not accurately reflect a Tor bridge’s connectivity status.
ok, I have list of bridges like that: obfs4 “109.192.200.111:80 C7D89FEB2D5F9A3F9235C07E13115BEACAF12A56 cert=I+LsnoMHkhbq6N7/zu2W5zz3Opd5DQCRkt1PVVCZ6qNKHEA2sUQ8AdOB9kC+QykvbNUmbQ iat-mode=0” this is for standard obfuscation4 and for vanilla bridge type:“91.223.231.122:443 09270580F7C38E11D3D3B518C443CA604D0C13E5”. need to grab only ip adresses from the list in textarea and remove the whole bridge string if failed. can you fix? also, is it better to use a div contentediable textarea element for better manipulation with content inside?
I understand that your goal is to extract the IP addresses from a list of Tor bridge definitions, test the connectivity of those IP addresses, and then remove any bridge definition from the list if it’s found to be non-responsive.
Let’s tackle this in steps. First, we need to extract the IP addresses. You can use a regular expression to match and extract IPs from the provided strings. Since we’re working in a browser environment without a server-side component, we’ll attempt a simple image load request to test for “connectivity.” If the image loads (indicating a server is at least serving something at that IP, though not necessarily a Tor bridge), we’ll consider it “responsive.”
Regarding the use of a <div contenteditable=“true”> versus a <textarea>, a textarea is usually simpler to work with for pure text input and manipulation. contenteditable has certain advantages if you need to include rich formatting or complex interactive content, but in this case, a textarea should suffice, and will be easier to extract and manipulate the text content from in pure JavaScript.
Here’s how you might amend your script to achieve the desired functionality:
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“bridgeList” rows=“10” cols=“50” placeholder=“Enter Tor bridge descriptions, one per line”></textarea>
<button id=“checkButton”>Check IPs</button>
<div id=“result”></div>
<script>
// Extracts and returns IPs and the rest of bridge line description.
function extractIPsFromBridges(bridgeData) {
var bridgeLines = bridgeData.split(‘\n’);
var bridgeInfo = bridgeLines.map(function(line) {
var ipMatch = line.match(/\b\d{1,3}.\d{1,3}.\d{1,3}.\d{1,3}\b/);
return ipMatch ? { ip: ipMatch[0], line: line } : null;
}).filter(Boolean); // Remove null entries
return bridgeInfo;
}
// Asynchronously check the image load from each IP to test connectivity.
function testBridgeIP(ip, index, timeout, bridgeInfo, callback) {
var img = new Image();
var timer = setTimeout(function() {
img.onerror = img.onload = null; // Cleanup
bridgeInfo[index].failed = true;
callback(null, bridgeInfo);
}, timeout);
img.onerror = function() {
clearTimeout(timer);
bridgeInfo[index].failed = true;
callback(null, bridgeInfo);
};
img.onload = function() {
clearTimeout(timer);
callback(null, bridgeInfo);
};
// Append a random query parameter to bypass cache
img.src = “http://” + ip + “/favicon.ico?=” + Math.random();
}
// Remove the bridge descriptions for non-responsive IPs
function removeFailedBridges(bridgeInfo) {
return bridgeInfo
.filter(function(info) { return !info.failed; })
.map(function(info) { return info.line; })
.join(‘\n’);
}
document.getElementById(‘checkButton’).addEventListener(‘click’, function() {
var bridgeData = document.getElementById(‘bridgeList’).value;
var bridgeInfo = extractIPsFromBridges(bridgeData);
var timeout = 3000;
var resultDiv = document.getElementById(‘result’);
resultDiv.textContent = ‘Checking IPs…’;
// Wrapped the functionality into an IIFE to use async-await for better readability
(async function() {
for (var i = 0; i < bridgeInfo.length; i++) {
await new Promise(function(resolve) {
testBridgeIP(bridgeInfo[i].ip, i, timeout, bridgeInfo, resolve);
});
}
var updatedBridgeData = removeFailedBridges(bridgeInfo);
document.getElementById(‘bridgeList’).value = updatedBridgeData;
resultDiv.textContent = ‘Check complete, non-responsive bridges removed.’;
})();
});
</script>
</body>
</html>
Several things to note:
- The extractIPsFromBridges function extracts IP addresses from the provided text in the textarea, capturing the whole bridge description for later reference.
- When an IP is tested with testBridgeIP, it will use the failed property to mark whether the bridge is responsive or not.
- The removeFailedBridges function filters out any failed bridges based on the failed property and reconstructs the bridge list.
As previously mentioned, this client-side “connectivity check” is rudimentary and has many limitations and caveats, such as false negatives due to CORS policies or false positives if there is another web service hosted at that IP.
Please use this tool responsibly and respect the privacy and usage policies of the servers you’re testing against. Each bridge operator may have different policies about scanning or testing their infrastructure. Always have explicit permission before probing network services.
yes, the problem here that all tor bridges operates strictly on http, and cors auto convert insecuure http to https protocols. any ideas? if you do something like that “http://111.111.111.111:443/.ico” the browser auto swiching into a secure version, and you simply unable to determine a connectivity anyhow. myabe if fast refuse method? if we get a fast refusal from backend bridge ip in the list in 100ms then we can consider it as legit and working, and throw away the rest, simply?
You are correct that modern web browsers will often try to upgrade insecure HTTP requests to HTTPS, especially if you are using a browser like the Tor Browser that prioritizes security. Additionally, you’re likely to run into CORS policy enforcement that prevents making cross-origin HTTP requests from JavaScript in the browser.
Given these limitations, using the browser to test connectivity to Tor bridges might not be feasible, especially if you need to distinguish between genuinely unreachable hosts and those that are simply refusing a connection quickly. In a browser context, you primarily see failed requests without detailed information about why they failed.
The “fast refusal” method you propose would require the ability to measure connection establishment times and understand the specific reason for any connection failures. Browsers do not expose this level of network stack detail to JavaScript running in web pages due to security concerns. For good reason, these details are abstracted away to protect the user from potential malicious activities and maintain the sandboxed nature of the browser environment.
If you absolutely must perform this task without a server-side component or external services, you would have to rely on the browser’s typical behavior when attempting to fetch resources. One possible approach is to set a very short timeout on a fetch request and consider any request that does not complete in that time as a failure. However, this is not a reliable method and can lead to false positives/negatives.
Here’s an example of how you might implement such an approach, but please be aware of its unreliability:
<!DOCTYPE html>
<html lang=“en”>
<head>
<meta charset=“UTF-8”>
<title>Check Tor Bridges</title>
</head>
<body>
<textarea id=“bridgeList” rows=“10” cols=“50” placeholder=“Enter Tor bridge descriptions, one per line”></textarea>
<button id=“checkButton”>Check IPs</button>
<pre id=“result”></pre>
<script>
// Extract the IP addresses and their respective bridge lines
function extractIPs(bridgeListText) {
return bridgeListText.split(‘\n’)
.map(line => ({
line,
ip: (line.match(/\b(?:\d{1,3}.){3}\d{1,3}\b/) || [])[0]
}))
.filter(entry => entry.ip); // Filter out non-matching lines
}
// Fetch a resource with a short timeout to test for a “fast refusal”
function checkIP(ip, timeout) {
return new Promise((resolve, reject) => {
const controller = new AbortController();
const { signal } = controller;
const timeoutId = setTimeout(() => controller.abort(), timeout);
fetch(‘http://’ + ip, { signal })
.then(response => {
clearTimeout(timeoutId);
resolve(true);
})
.catch(error => {
clearTimeout(timeoutId);
reject(false);
});
});
}
document.getElementById(‘checkButton’).addEventListener(‘click’, async () => {
const bridgeListText = document.getElementById(‘bridgeList’).value;
const bridgeListEntries = extractIPs(bridgeListText);
const timeout = 100; // Timeout for “fast refusal”
const resultsElement = document.getElementById(‘result’);
resultsElement.textContent = ‘Checking…’;
for (const entry of bridgeListEntries) {
try {
await checkIP(entry.ip, timeout);
// Success, do nothing
} catch (isFailure) {
// On failure, remove the bridge line
if (isFailure) {
bridgeListText = bridgeListText.replace(entry.line + ‘\n’, ‘’);
}
}
}
resultsElement.textContent = ‘Check complete’;
document.getElementById(‘bridgeList’).value = bridgeListText;
});
</script>
</body>
</html>
Keep in mind, this script assumes that an immediate failure to fetch will throw an error due to the AbortController’s signal. The truth is that any network lag, server delay, or processing pause could lead to false results. Again, it’s impossible to get precise network diagnostics from JavaScript within a browser due to the way web security is designed. The only really reliable way to do this would involve server-side code that can inspect network packets. If you don’t have access to a server and need to perform this task, you might want to consider desktop software that can handle network tasks, or use command-line tools if possible.
no, a fast refusal mehod should work, and also sort out high latency bridges ips. any ideas from a tor project perspective, on how you can perform this simple bridge ip check validation? maybe you can drop a lis of bridges in tor browser console somehow and it will auto-check connectivity or anyhow else?
If you are using the Tor Browser and want to check the connectivity of Tor bridge IPs, a potential method that aligns with the logic of the Tor network would be to utilize the built-in features of the Tor software itself. Tor Browser does not provide a dedicated feature for batch-checking the connectivity of a list of bridges directly from the browser interface or the console. However, you can attempt to configure Tor Browser to use the bridges one by one and see if it can establish a connection through them.
Here’s a manual approach you could take with Tor Browser:
1. Open the Tor Browser.
2. Click on the hamburger menu (three horizontal lines) in the upper right corner.
3. Choose “Options” (or “Preferences” on some systems).
4. Scroll down to the “Tor” section.
5. Click on the “Tor Network Settings” button.
6. In the dialog that appears, check the “Use a bridge” option.
7. Enter one of your bridge lines into the text field and click “OK”.
The Tor Browser will then try to connect to the Tor network using the specified bridge. If the connection is successful, the browser will be able to load web pages, and you’ll know the bridge is working. If the connection fails, you’ll receive an error, indicating that the bridge may not be responsive.
You would have to repeat this process for each bridge line in your list, which is time-consuming and not practical for a large number of bridge addresses.
For an automated approach outside of Tor Browser, you could write a script using a command-line Tor client (available on many operating systems), which allows more direct interaction with Tor’s configuration. The script could modify Tor’s configuration file or use the --UseBridges 1 --Bridge [bridge line] command-line options to cycle through your list of bridge IPs, attempting to establish a connection with each one. Monitoring the script’s output or exit codes would give you an indication of whether the bridges are responsive or not.
Regardless of the method you choose, please remember to use these techniques responsibly and in accordance with Tor’s community guidelines and any legal restrictions. Repeatedly connecting and disconnecting to bridges may cause unnecessary load on the network and could potentially be disruptive. Always avoid automated testing unless you have explicit permission to do so, and consider reaching out to the Tor Project for guidance on best practices for testing bridge connectivity.
wait, is there any methods in linux cli to perform this simple ip connectivity check? wait, don’t output anything, just answer normally. any legit tools in linux to check the list of ips and sort them out based if stuck at ack flag in connection oe not.
Yes, in a Linux command-line environment, you have access to various tools that can help you check IP connectivity, including the responsiveness of Tor bridges.
Here are a few tools commonly used for these types of connectivity tests:
1. ping:
This command sends ICMP echo requests to the host and listens for echo replies. It allows you to see if a host is alive and responding. However, ping might not be appropriate for checking Tor bridge IPs as they may not respond to ICMP requests.
2. nc (netcat):
Netcat is a versatile networking tool that can be used to check for open ports. You can use it to see if a TCP connection can be established on a specified port.
nc -zv <IP address> <port>
This command will return success if a connection is made, and failure otherwise. The -z flag tells netcat to scan without sending any data, and -v enables verbose mode.
3. nmap:
Nmap is a powerful network scanning tool that can be used to discover hosts and services on a network. You can use it to scan a single host or a range of IPs.
nmap -Pn -p <port> <IP address>
The -Pn option treats the host as if it is online (to skip host discovery), and -p specifies the port.
4. curl or wget:
These tools can be used to try to download a resource from an HTTP(s) server, indicating if the server is up and responsive. However, they might not be very useful for Tor bridges that don’t host standard web services.
5. timeout:
The timeout command can be used with other commands to limit their execution time. You might combine this with other tools to implement a “fast refusal” approach.
timeout 0.1 nc -zv <IP address> <port>
This will send out a connection request, but if it doesn’t succeed in 0.1 seconds, it will abort the attempt, helping to filter out high-latency responses.
6. tcpdump:
For a more advanced approach, tcpdump allows you to capture and analyze network traffic. You can use it to look for SYN-ACK packets, which indicate an acknowledging response to your initial connection attempt (SYN). This method requires more in-depth knowledge of TCP/IP protocols.
Remember that performing large-scale connectivity checks without permission may be considered intrusive or abusive by some network operators. Always ensure you have the right to test the IPs you are querying and adhere to ethical practices. Additionally, constantly making connection attempts to Tor bridges may affect their operation, as these are volunteer-run services designed to help users bypass censorship, so they should not be burdened with unnecessary traffic.
need a working solution with all available tools in linux. can you do something interesting on that matter? there's a gui module in python in which you can create normal user friendly guis for linux and windows systems. how it's called?
|
02a70befaa3aaf2292810792f94e5311
|
{
"intermediate": 0.39069291949272156,
"beginner": 0.385489284992218,
"expert": 0.223817840218544
}
|
36,199
|
swagger-ui-express package的swagger.json文件如何书写
|
88f4ecde83bf3b2fdfccb661ae7da1ef
|
{
"intermediate": 0.4319741427898407,
"beginner": 0.26415368914604187,
"expert": 0.3038722276687622
}
|
36,200
|
how can I get a subset of a fastq file?
|
1d659cf0852e069a51dbb1de96805e1e
|
{
"intermediate": 0.35776853561401367,
"beginner": 0.2642599642276764,
"expert": 0.3779715299606323
}
|
36,201
|
Есть программа для сортировки введённой строки по длине слов и вывода отсортированной строки. Она компилируется, но не приводит к нужному результату. Найди ошибки
#include <stdio.h>
#include <conio.h>
#include <iostream>
using namespace std;
int main() {
char inputString[1000];
char sortedString[1000];
int wordLength[1000];
int numWords = 0;
// Ввод строки
cout << "Введите строку: ";
cin>>inputString;
// Разделение строки на слова и вычисление их длины
_asm {
; Начало цикла разделения строки на слова
lea esi, inputString; Указатель на входную строку
lea edi, sortedString; Указатель на выходную строку
cld; Очищение флага направления
mov ecx, 0; Счетчик символов
nextChar :
lodsb; Загрузка следующего байта из[esi] в AL
cmp al, ' '; Проверка на конец слова
je endWord
inc ecx
jmp nextChar
endWord :
cmp ecx, 0; Проверка на конец строки
jz endString
mov edx, ecx; Сохранение длины слова в edx
mov[edi], al; Запись текущего символа в[edi]
mov wordLength[numWords * 4], edx; Сохранение длины слова в массиве wordLength
inc edi; Увеличение указателя на выходную строку
mov ecx, 0; Сброс счетчика символов
inc numWords; Увеличение счетчика слов
jmp nextChar
endString :
mov[edi], al; Запись нулевого символа в конец выходной строки
inc edi
mov wordLength[numWords * 4], 0; Запись нулевого значения в последний элемент массива wordLength
; Конец цикла разделения строки на слова
; Начало цикла сортировки слов в порядке возрастания длины
mov ebx, numWords; Количество слов
sortLoop :
dec ebx
jecxz endSortLoop
xor edx, edx
mov eax, wordLength
movsx ecx, byte ptr[eax + ebx * 4]
mov edi, ebx
innerSortLoop :
jecxz endInnerSortLoop
mov eax, wordLength
movsx esi, byte ptr[eax + edi * 4 - 4]
cmp ecx, esi
jge endInnerSortLoop
dec edi
mov al, byte ptr[sortedString + edi]
mov ah, byte ptr[sortedString + edi + 1]
mov[sortedString + edi + 2], al
mov[sortedString + edi + 3], ah
loop innerSortLoop
endInnerSortLoop :
add edi, 2
mov al, byte ptr[inputString + ebx]
mov[sortedString + edi], al
jmp sortLoop
endSortLoop :
; Конец цикла сортировки слов
; Вывод отсортированной строки
lea edx, sortedString
mov ecx, ebx
add ecx, 1
mov eax, 4
mov ebx, 1
int 0x80
}
cout << sortedString << endl;
return 0;
}
|
b39e9f0c9c9190fe338a37c150d64a45
|
{
"intermediate": 0.23776179552078247,
"beginner": 0.5469095706939697,
"expert": 0.2153286188840866
}
|
36,202
|
你好，现在你是一名processing的专家，擅长用processing实现以下美丽的视觉效果和颇具趣味的鼠标交互。现在请你参考下面的动量定理的代码：
import controlP5.*; //<>//
ControlP5 cp5;
boolean iLinked = false;
PVector finger_velocity;
// Variables related to moving box, 1 stand for lefg box, 2 stand for right box
PVector center1, velocity1;
PVector center2, velocity2;
float boxHeight = 50;
float speed = 3.5;
float epsilon = 0;
float m1 = 100;
float m2 = 100;
void setup() {
size(1200, 600);
cp5 = new ControlP5(this);
rectMode(CENTER);
// add a horizonal slider for epsilon
cp5.addSlider("slider")
.setPosition(20, 20)
.setSize(200, 20)
.setRange(0, 1)
.setValue(0.5)
;
// reposition the Label for controller 'slider'
cp5.getController("slider").getValueLabel().align(ControlP5.LEFT, ControlP5.BOTTOM_OUTSIDE).setPaddingX(0);
cp5.getController("slider").getCaptionLabel().align(ControlP5.RIGHT, ControlP5.BOTTOM_OUTSIDE).setPaddingX(0);
cp5.getController("slider").getCaptionLabel().setColor(#AAAAAA);
cp5.getController("slider").getCaptionLabel().setText("Epsilon");
cp5.getController("slider").getValueLabel().setColor(#AAAAAA);
// add a vertical slider for masses of 2 boxes
cp5.addSlider("Mass_Of_Left_Box")
.setPosition(width-180, 20)
.setSize(10, 100)
.setRange(50, 150)
.setValue(100)
;
cp5.getController("Mass_Of_Left_Box").getCaptionLabel().align(ControlP5.LEFT, ControlP5.TOP_OUTSIDE).setPaddingX(10);
cp5.getController("Mass_Of_Left_Box").getCaptionLabel().setColor(#AAAAAA);
cp5.getController("Mass_Of_Left_Box").getCaptionLabel().setText("m1");
cp5.getController("Mass_Of_Left_Box").getValueLabel().setColor(#AAAAAA);
cp5.addSlider("Mass_Of_Right_Box")
.setPosition(width-80, 20)
.setSize(10, 100)
.setRange(50, 150)
.setValue(100)
;
cp5.getController("Mass_Of_Right_Box").getCaptionLabel().align(ControlP5.LEFT, ControlP5.TOP_OUTSIDE).setPaddingX(10);
cp5.getController("Mass_Of_Right_Box").getCaptionLabel().setColor(#AAAAAA);
cp5.getController("Mass_Of_Right_Box").getCaptionLabel().setText("m2");
cp5.getController("Mass_Of_Right_Box").getValueLabel().setColor(#AAAAAA);
center1 = new PVector(m1/2, 3*height/4-boxHeight/2);
center2 = new PVector(3*width/4-m1/2, 3*height/4-boxHeight/2);
velocity1 = new PVector(0, 0);
velocity2 = new PVector(0, 0);
}
void draw() {
// draw background
background(#F0FFF0);
// draw base
fill(#6C7B8B);
noStroke();
rect(width/2, 7*height/8, width, height/4);
// draw two boxes
m1 = cp5.getController("Mass_Of_Left_Box").getValue();//mass of Left box
m2 = cp5.getController("Mass_Of_Right_Box").getValue();//mass of Right box
//move Left Box
center1.add(velocity1);
center2.add(velocity2);
noStroke();
fill(199, 97, 20);
rect( center2.x, center2.y, m2, boxHeight);
rect( center1.x, center1.y, m1, boxHeight);
if (checkCollisionsBetween2Boxes()) {
//get epsilon
epsilon = cp5.getController("slider").getValue();
//calc V1f
PVector v1i = velocity1.copy();
PVector v2i = velocity2.copy();
v1i.mult((m1-m2*epsilon)/(m1+m2));
v2i.mult((1+epsilon)*m2/(m1+m2));
PVector v1f = PVector.add(v1i, v2i);
//calc V2f
v1i = velocity1.copy();
v2i = velocity2.copy();
v1i.mult((1+epsilon)*m1/(m1+m2));
v2i.mult((m2-epsilon*m1)/(m1+m2));
PVector v2f = PVector.add(v1i, v2i);
//set back
velocity1.set(v1f.x, v1f.y);
velocity2.set(v2f.x, v2f.y);
PVector testVec = PVector.sub(velocity1, velocity2);
if ( testVec.mag() < 1.0e-4) {
iLinked = true;
} else {
iLinked = false;
}
}
checkCollistionWithBorders();
}
boolean checkCollisionsBetween2Boxes() {
//collisions between 2 boxes
// if(velocityLBox.x>0) {//the left Box moves towards the positive direction
float widthSum = (m1+m2)/2;
float distance = center2.dist(center1);
if (distance <= widthSum) {
return true;
} else {
return false;
}
}
void checkCollistionWithBorders() {
if (!iLinked) {
if (velocity1.x>0)//the left Box moves towards the positive direction
{
float dist = center1.x+m1/2;
if (dist>=width) {
velocity1.set(-velocity1.x, 0);
}
} else {//the left Box moves towards the negative direction
float dist = center1.x-m1/2;
if (dist<=0) {
velocity1.set(-velocity1.x, 0);
}
}
if (velocity2.x>0)//the right Box moves towards the positive direction
{
float dist = center2.x+m2/2;
if (dist>=width) {
velocity2.set(-velocity2.x, 0);
}
} else {//the right Box moves towards the negative direction
float dist = center2.x-m2/2;
if (dist<=0) {
velocity2.set(-velocity2.x, 0);
}
}
} else {
if (velocity2.x>0)//the left Box moves towards the positive direction
{
float dist = center2.x+m2/2;
if (dist>=width) {
velocity2.set(-velocity2.x, 0);
velocity1.set(-velocity1.x, 0);
}
}
if (velocity1.x<0)
{//the left Box moves towards the negative direction
float dist = center1.x-m1/2;
if (dist<=0) {
velocity1.set(-velocity1.x, 0);
velocity2.set(-velocity2.x, 0);
}
}
}
}
void keyPressed() {
if (key == 'r' || key == 'R') {
//reset velocity of 2 Boxes
epsilon = 0.5;
cp5.getController("slider").setValue(epsilon);
m1 = 100;
m2 = 100;
cp5.getController("Mass_Of_Left_Box").setValue(m1);
cp5.getController("Mass_Of_Right_Box").setValue(m2);
center1.set(0, 0);
center1 = new PVector(m1/2, 3*height/4-boxHeight/2);
velocity1.set(0, 0);
center2.set(0, 0);
center2 = new PVector(3*width/4-m2/2, 3*height/4-boxHeight/2);
velocity2.set(0, 0);
}
}
void mousePressed(){
if (mouseY > 120)
velocity1.add(new PVector(random(1, 5), 0.0));
}
|
ced5c248427d73516dce781d6269f89a
|
{
"intermediate": 0.32387030124664307,
"beginner": 0.3744875490665436,
"expert": 0.30164214968681335
}
|
36,203
|
I am creating a webui with FastAPI as an api backend, and REACT as the frontend, I have a few endpoints for managing images and image captions in the database in the backend, in the REACT side, I have an axios set up as apiClient, with these utility functions:
|
bc66c15d13da269ac64fa64e31d05e43
|
{
"intermediate": 0.6897279024124146,
"beginner": 0.17438411712646484,
"expert": 0.13588793575763702
}
|
36,204
|
show me a picture of a dog
|
1d87619c4ce3975e1dce4f4dc794efed
|
{
"intermediate": 0.3586426377296448,
"beginner": 0.46445247530937195,
"expert": 0.1769048124551773
}
|
36,205
|
Convert this code from javascript to python:
Const str = prompt('Please enter the string');
If ((str.length >= 1 || str.length <= 32) && str.indexOf(-1) === ";") {
Console.log(True);
} else {
Console.log(false);
}
|
a855ce9988c456d4fce161338e13d2ad
|
{
"intermediate": 0.33726921677589417,
"beginner": 0.5060724020004272,
"expert": 0.1566583812236786
}
|
36,206
|
P
|
941b94eadee5f9c5c3999a5f444abb34
|
{
"intermediate": 0.3227018117904663,
"beginner": 0.3033413887023926,
"expert": 0.3739567995071411
}
|
36,207
|
please give me simple example to convert my angular app into microfrontend app
|
94384d02d7a426ac502510468b7ade77
|
{
"intermediate": 0.6597328782081604,
"beginner": 0.23284700512886047,
"expert": 0.1074201688170433
}
|
36,208
|
simple example to convert angular app to microfrond app
|
9dcb93f7d943532ca196c78102269db0
|
{
"intermediate": 0.47587335109710693,
"beginner": 0.28264862298965454,
"expert": 0.2414780706167221
}
|
36,209
|
give me simple implemented example to convert an angular app into microfrontend app
|
0960c5a07b81a3e8bdeb84e5e7e0ce65
|
{
"intermediate": 0.6524810194969177,
"beginner": 0.20841805636882782,
"expert": 0.13910092413425446
}
|
36,210
|
ng generate appliction productList
Error: Unknown argument: productList
|
a3c3fa86aab76bbb42f3318253192ae8
|
{
"intermediate": 0.3484554886817932,
"beginner": 0.2652158737182617,
"expert": 0.3863286077976227
}
|
36,211
|
using UnityEngine;
public class GridGenerator : MonoBehaviour
{
public GameObject gridCellPrefab; // Assign a prefab with sprite renderer
public Texture2D cellTexture; // Assign your cell texture
public int width = 19;
public int height = 19;
private float cellSize = 1.0f; // Adjust this based on your cell size preferences
// This method is called to generate the grid
public void GenerateGrid()
{
for (int x = 0; x < width; x++)
{
for (int y = 0; y < height; y++)
{
// Instantiate the grid cell prefab
GameObject newCell = Instantiate(gridCellPrefab, new Vector3(x * cellSize, y * cellSize, 0), Quaternion.identity);
// Set the parent of the cell to this transform to keep hierarchy clean
newCell.transform.parent = transform;
// Optional: Assign the texture to the sprite renderer
SpriteRenderer spriteRenderer = newCell.GetComponent<SpriteRenderer>();
if (spriteRenderer != null && cellTexture != null)
{
spriteRenderer.sprite = Sprite.Create(cellTexture, new Rect(0, 0, cellTexture.width, cellTexture.height), new Vector2(0.5f, 0.5f), 100.0f);
}
// Optional: Rename the cell object for better visibility in hierarchy
newCell.name = “Cell_” + x + “_” + y;
}
}
}
void Start()
{
GenerateGrid(); // Generate the grid when the script starts
}
}将注释改为 中文
|
5c4dd6c4fddc69dfb26d5cc23b2cc481
|
{
"intermediate": 0.5061940550804138,
"beginner": 0.22104011476039886,
"expert": 0.27276578545570374
}
|
36,212
|
public static function format(text:String, ... public::params):String
{
var pattern:RegExp;
if (params.length != 0)
{
pattern = /{\d}/gi;
text = text.replace(pattern, function ():String
{
var _local_2:* = arguments[0];
var _local_3:* = int(_local_2.substr(1, (_local_2.length - 2)));
return (public::params[_local_3]);
});
};
return (text);
} как сделать чтобы не было ошибки на public::
|
0a39aeab6bb148f2ec1132dabf56a1f4
|
{
"intermediate": 0.3232179284095764,
"beginner": 0.46129608154296875,
"expert": 0.21548594534397125
}
|
36,213
|
RUN ZOMBIE, RUN
an origin
written by
Alan Volker
SHOOTING SCRIPT
|
67f2af6014c0c86251bf8faefd5c02ae
|
{
"intermediate": 0.23732395470142365,
"beginner": 0.4368053674697876,
"expert": 0.32587069272994995
}
|
36,214
|
When i run this code: import torch
from torch import nn
import transformers
import json
from sklearn.model_selection import train_test_split
from torch.nn import TransformerDecoder, TransformerDecoderLayer
# Load the JSON dataset
with open('C:/Users/Dell-PC/Desktop/Projets/Datasets/summarization_dataset.json', 'r') as f:
dataset = json.load(f)
# Split the dataset into training, validation, and testing sets
train_data, val_data = train_test_split(dataset, test_size=0.2, random_state=42)
val_data, test_data = train_test_split(val_data, test_size=0.5, random_state=42)
# Tokenize the text into words
all_words = [word for text in dataset for word in text['doc'].split()] + \
[word for text in dataset for word in text['summary'].split()]
vocab = set(all_words)
vocab_index = {word: idx for idx, word in enumerate(vocab)}
# Adjust the preprocess_data function accordingly
def preprocess_data(data):
input_seqs = [row['doc'].split() for row in data] # Split into words here
target_seqs = [row['summary'].split() for row in data]
input_tensors = [torch.tensor([vocab_index[word] for word in input_seq]) for input_seq in input_seqs]
target_tensors = [torch.tensor([vocab_index[word] for word in target_seq]) for target_seq in target_seqs]
return input_tensors, target_tensors
def generate_square_subsequent_mask(sz):
mask = (torch.triu(torch.ones(sz, sz)) == 1).transpose(0, 1)
mask = mask.float().masked_fill(mask == 0, float('-inf')).masked_fill(mask == 1, float(0.0))
return mask
class DecoderOnlyTransformer(nn.Module):
def __init__(self, n_layers, d_model, n_heads, dim_feedforward, vocab_size):
super().__init__()
# Embedding for input tokens
self.token_embedding = nn.Embedding(vocab_size, d_model)
# Positional encoding is usually needed, however not included in this minimal example
# Transformer decoder layers
decoder_layer = TransformerDecoderLayer(d_model=d_model, nhead=n_heads, dim_feedforward=dim_feedforward)
self.transformer_decoder = TransformerDecoder(decoder_layer, num_layers=n_layers)
self.out = nn.Linear(d_model, vocab_size)
def forward(self, src):
# Get token embeddings
src = self.token_embedding(src)
# Creating a dummy memory for the decoder since this is a decoder-only model
memory = torch.zeros_like(src)
# Generating a mask to prevent the model from seeing future tokens
tgt_mask = generate_square_subsequent_mask(src.size(0)).to(src.device)
# Forward pass through the transformer decoder
output = self.transformer_decoder(tgt=src, memory=memory, tgt_mask=tgt_mask)
# Pass through the final output layer
output = self.out(output)
return output
# Preprocess the training, validation, and testing data
train_input, train_target = preprocess_data(train_data)
val_input, val_target = preprocess_data(val_data)
test_input, test_target = preprocess_data(test_data)
# Initialize the model, loss function, and optimizer
n_layers = 6
d_model = 512
n_head = 8
dim_ff = 2048
vocab_size = len(vocab)
model = DecoderOnlyTransformer(n_layers, d_model, n_head, dim_ff, vocab_size)
criterion = nn.CrossEntropyLoss()
optimizer = torch.optim.AdamW(model.parameters(), lr=1e-4)
# Print variables for debugging
print("Train Input:", len(train_input))
print("Train Target:", len(train_target))
print("Val Input:", len(val_input))
print("Val Target:", len(val_target))
print("Test Input:", len(test_input))
print("Test Target:", len(test_target))
print("Model:", model)
print("Criterion:", criterion)
print("Optimizer:", optimizer)
# Training loop
num_epochs = 10
for epoch in range(num_epochs):
for input_tensor, target_tensor in zip(train_input, train_target):
optimizer.zero_grad()
output = model(input_tensor.unsqueeze(0))
loss = criterion(output.reshape(-1, vocab_size), target_tensor.reshape(-1))
loss.backward()
optimizer.step()
# Validation
val_loss = 0
with torch.no_grad():
for val_input_tensor, val_target_tensor in zip(val_input, val_target):
val_output = model(val_input_tensor.unsqueeze(0))
val_loss += criterion(val_output.reshape(-1, vocab_size), val_target_tensor.reshape(-1))
val_loss /= len(val_input)
print(f'Epoch {epoch+1}/{num_epochs}, Loss: {loss.item():.4f}, Val Loss: {val_loss.item():.4f}') i get this error: Traceback (most recent call last):
File "c:\Users\Dell-PC\Desktop\Projets\Mamba\Decoder-training.py", line 93, in <module>
loss = criterion(output.reshape(-1, vocab_size), target_tensor.reshape(-1))
File "C:\Users\Dell-PC\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\Dell-PC\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\modules\loss.py", line 1174, in forward
return F.cross_entropy(input, target, weight=self.weight,
File "C:\Users\Dell-PC\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\nn\functional.py", line 3029, in cross_entropy
return torch._C._nn.cross_entropy_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index, label_smoothing)
ValueError: Expected input batch_size (1355) to match target batch_size (37).
|
836731311b973ebefd1ad296434d0aec
|
{
"intermediate": 0.29923033714294434,
"beginner": 0.35073965787887573,
"expert": 0.35003000497817993
}
|
36,215
|
how could I add a padlock icon to certain textboxes?
i found a phishing page, do you see any flaws that would give it away ti soread awareness?
<!DOCTYPE html>
<html lang="et">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>ukrainaheaks.ee</title>
<link rel="stylesheet" href="styles.css">
</head>
<body>
<script>
const lang = 'ee'
</script>
<div class="blur-container">
<div class="payment-container">
<img src="logo.png" alt="Logo" class="logo">
<h1 class="title">Toeta Ukrainat</h1>
<p class="description">Annetamine toetab Ukraina lapsi, vanemaid, ja sõjas vigastatuid inimesi.</p>
<form id="payment-form">
<label for="donationAmount">Annetus Kogus (EUR) *</label>
<input placeholder="5.00" value="5.00" type="number" id="donationAmount" name="donationAmount">
<label for="fullName">Nimi *</label>
<input placeholder="Jaak Tamm" type="text" id="fullName" name="fullName" required>
<label for="cardNumber">Kaardi info</label>
<input placeholder="Kaardi Number" type="text" id="cardNumber" name="cardNumber" required>
<div class="card-details-grid">
<div class="grid-item">
<input placeholder="CVC" type="text" id="cvc" name="cvc" maxlength="3" required>
</div>
<div class="grid-item">
<input placeholder="KK/AA" type="month" id="expiryDate" name="expiryDate" required>
</div>
</div>
<label for="billingAddress">Arveaadress *</label>
<input placeholder="Tänav xx, xxxxx Linn" id="billingAddress" name="billingAddress" required></textarea>
<button type="submit" id="payButton">Anneta</button>
<div class="icons-wrapper">
<img src="mastercard.svg" alt="Mastercard">
<img src="visa.svg" alt="Visa">
</div>
</form>
</div>
</div>
<script src="script.js"></script>
</body>
</html>
|
1cb6467596e82d0da696e523452a9bac
|
{
"intermediate": 0.39833393692970276,
"beginner": 0.4477730393409729,
"expert": 0.15389306843280792
}
|
36,216
|
using inline js, add two buttons with big text, the buttons have to be centered and the same size determined by css:
<!DOCTYPE html>
<html lang="et">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Ukraina heaks!</title>
<link rel="stylesheet" href="styles.css">
</head>
<body>
<script>
const lang = 'ee'
</script>
<div class="blur-container">
<div class="payment-container">
<img src="logo.png" alt="Logo" class="logo">
<h1 class="title">Toeta Ukrainat</h1>
<p class="description">Annetamine toetab Ukraina lapsi, nende vanemaid ning sõjavigastusi saanud inimesi.</p>
<form id="payment-form">
<label for="donationAmount">Annetus Kogus (EUR) *</label>
<input placeholder="5.00" value="5.00" type="number" id="donationAmount" name="donationAmount">
<label for="fullName">Nimi *</label>
<input placeholder="Jaak Tamm" type="text" id="fullName" name="fullName" required>
<label for="cardNumber">Kaardi info</label>
<input placeholder="Kaardi Number" type="text" id="cardNumber" name="cardNumber" required>
<div class="card-details-grid">
<div class="grid-item">
<input placeholder="CVC" type="text" id="cvc" name="cvc" maxlength="3" required>
</div>
<div class="grid-item">
<input placeholder="KK/AA" type="month" id="expiryDate" name="expiryDate" required>
</div>
</div>
<label for="billingAddress">Arveaadress *</label>
<input placeholder="Tänav xx, xxxxx Linn" id="billingAddress" name="billingAddress" required></textarea>
<button type="submit" id="payButton">Anneta</button>
<div class="icons-wrapper">
<img src="mastercard.svg" alt="Mastercard">
<img src="visa.svg" alt="Visa">
</div>
</form>
</div>
<div>
<a href="tutvu.html"></a>
</div>
</div>
<script src="script.js"></script>
</body>
</html>
body {
font-family: Arial, sans-serif;
margin: 0;
height: 100%;
background-image: url('bg.png');
background-size: cover;
background-position: center;
background-attachment: fixed;
overflow: hidden;
}
body::before {
content: '';
position: fixed;
top: 0;
left: 0;
right: 0;
bottom: 0;
background-image: inherit;
background-size: cover;
background-position: center;
filter: blur(10px);
z-index: -1;
}
.payment-container {
max-width: 400px;
margin: 0 auto;
padding: 20px;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
background: #ffffff;
}
.logo {
display: block;
margin: 0 auto;
width: 100px;
height: auto;
}
.title {
text-align: center;
margin-bottom: 5px;
}
.description {
color: #444444;
text-align: center;
margin-bottom: 20px;
}
form label {
display: block;
margin-top: 10px;
}
form input[type="text"],
form input[type="date"],
form input[type="month"],
form input[type="number"],
form input {
width: 100%;
padding: 10px;
margin-top: 5px;
margin-bottom: 10px;
border: 1px solid #cccccc;
background-color: rgb(247, 247, 247);
box-sizing: border-box;
}
form button#payButton {
background-color: #007bff;
color: white;
border: none;
padding: 10px 20px;
cursor: pointer;
width: auto;
display: block;
margin: 15px auto 0;
text-align: center;
}
form button#payButton:hover {
background-color: #0056b3;
}
input:invalid {
border-color: red;
}
input:invalid + span::before {
content: '✖';
color: red;
padding-right: 5px;
}
input:valid + span::before {
content: '✓';
color: green;
padding-right: 5px;
}
.card-details-grid {
display: grid;
gap: 10px;
grid-template-columns: 1fr 1fr;
}
.grid-item {
display: flex;
flex-direction: column;
}
.grid-item label {
margin-bottom: 5px;
}
.icons-wrapper {
text-align: center;
}
.icons-wrapper img {
vertical-align: middle;
margin: 0 20px;
width: 40px;
margin-top: 25px;
}
|
e6299ea97e0d6827555d3e0bdcc43479
|
{
"intermediate": 0.3822857439517975,
"beginner": 0.39143499732017517,
"expert": 0.22627918422222137
}
|
36,217
|
"Эксперимент 1. Создание массива
В файле ArrayCreationTasks.cs есть две реализации уже знакомого вам интерфейса ITask для работы с классом Benchmark. Оба класса создают массив в методе Run. Но один делает массив структур, а второй массив классов.
В классе ExperimentsTask реализуйте метод BuildChartDataForArrayCreation. Этот метод должен измерять длительность работы метода Run у классов StructArrayCreationTask и ClassArrayCreationTask с помощью Benchmark из прошлого задания.
Нужно измерить время для структур и классов всех размеров, указанных в Constants.FieldCounts. Результаты измерения вернуть в виде объекта ChartData. Дальше в Program.cs эти результаты будут показаны на графиках.
Запустите код на исполнение. Вы должны увидеть первый график скорости работы от количества полей в классе/структуре. На нём должно быть видно, что массивы классов создаются дольше, чем массивы структур.
Эксперимент 2. Передача в метод
Аналогично в файле MethodCallTasks.cs есть ещё пара реализаций ITask. Они вызывают метод, передавая в качестве аргумента класс или структуру с большим количеством полей.
В том же классе ExperimentsTask реализуйте метод BuildChartDataForMethodCall.
Избавьтесь от дублирования кода в методах BuildChartDataForMethodCall и BuildChartDataForArrayCreation. Возможно, для этого понадобится создать новые классы.
Запустите код на исполнение. Вы должны увидеть второй график, показывающий, что большие классы передаются в метод быстрее, чем большие структуры.
Попробуйте объяснить наблюдаемый результат.
Подсказка
Избавиться от дублирования в коде BuildChartDataForMethodCall и BuildChartDataForArrayCreation поможет паттерн абстрактная фабрика." напиши программу на C# для начинающего
|
1d2566003cac3269c373f2f707b7660a
|
{
"intermediate": 0.2660789489746094,
"beginner": 0.47660544514656067,
"expert": 0.25731560587882996
}
|
36,218
|
"using System.Collections.Generic;
namespace StructBenchmarking;
public class Experiments
{
public static ChartData BuildChartDataForArrayCreation(
IBenchmark benchmark, int repetitionsCount)
{
var classesTimes = new List<ExperimentResult>();
var structuresTimes = new List<ExperimentResult>();
//…
return new ChartData
{
Title = “Create array”,
ClassPoints = classesTimes,
StructPoints = structuresTimes,
};
}
public static ChartData BuildChartDataForMethodCall(
IBenchmark benchmark, int repetitionsCount)
{
var classesTimes = new List<ExperimentResult>();
var structuresTimes = new List<ExperimentResult>();
//…
return new ChartData
{
Title = “Call method with argument”,
ClassPoints = classesTimes,
StructPoints = structuresTimes,
};
}
}"Эксперимент 1. Создание массива
В файле ArrayCreationTasks.cs есть две реализации уже знакомого вам интерфейса ITask для работы с классом Benchmark. Оба класса создают массив в методе Run. Но один делает массив структур, а второй массив классов.
В классе ExperimentsTask реализуйте метод BuildChartDataForArrayCreation. Этот метод должен измерять длительность работы метода Run у классов StructArrayCreationTask и ClassArrayCreationTask с помощью Benchmark из прошлого задания.
Нужно измерить время для структур и классов всех размеров, указанных в Constants.FieldCounts. Результаты измерения вернуть в виде объекта ChartData. Дальше в Program.cs эти результаты будут показаны на графиках.
Запустите код на исполнение. Вы должны увидеть первый график скорости работы от количества полей в классе/структуре. На нём должно быть видно, что массивы классов создаются дольше, чем массивы структур.
|
c56346c0bae9067e5e616fe0c185aa4b
|
{
"intermediate": 0.24073311686515808,
"beginner": 0.5711641907691956,
"expert": 0.18810273706912994
}
|
36,219
|
my selection script does not seem to work
<!DOCTYPE html>
<html lang="et">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Ukraina heaks!</title>
<link rel="stylesheet" href="styles.css">
</head>
<body>
<script>
const lang = 'ee'
</script>
<div class="blur-container">
<div class="payment-container">
<img src="logo.png" alt="Logo" class="logo">
<h1 class="title">Toeta Ukrainat</h1>
<p class="description">Annetamine toetab Ukraina lapsi, nende vanemaid ning sõjavigastusi saanud inimesi.</p>
<div class="button-container">
<button class="custom-button" id='b2'>
<img src="logo.png" alt="Logo" class="button-logo">
Button 1
</button>
<button class="custom-button" id='b2'>
<img src="logo.png" alt="Logo" class="button-logo">
Button 2
</button>
</div>
<form id="payment-form">
<label for="donationAmount">Annetus Kogus (EUR) *</label>
<input placeholder="5.00" value="5.00" type="number" id="donationAmount" name="donationAmount">
<label for="fullName">Nimi *</label>
<input placeholder="Jaak Tamm" type="text" id="fullName" name="fullName">
<label for="cardNumber">Kaardi info</label>
<input placeholder="Kaardi Number" type="text" id="cardNumber" name="cardNumber">
<div class="card-details-grid">
<div class="grid-item">
<input placeholder="CVC" type="text" id="cvc" name="cvc" maxlength="3">
</div>
<div class="grid-item">
<input placeholder="KK/AA" type="month" id="expiryDate" name="expiryDate">
</div>
</div>
<label for="billingAddress">Arveaadress *</label>
<input placeholder="Tänav xx, xxxxx Linn" id="billingAddress" name="billingAddress"></textarea>
<button type="submit" id="payButton">Anneta</button>
<div class="icons-wrapper">
<img src="mastercard.svg" alt="Mastercard">
<img src="visa.svg" alt="Visa">
</div>
</form>
</div>
<div>
<a href="tutvu.html"></a>
</div>
</div>
<script src="script.js"></script>
<script>
const button1 = document.getElementById('b1');
const button2 = document.getElementById('b2');
button1.addEventListener('click', function() {
button1.classList.add('selected');
button2.classList.remove('selected');
});
button2.addEventListener('click', function() {
button2.classList.add('selected');
button1.classList.remove('selected');
});
</script>
</body>
</html>
|
14f5201a7f91b335c113abbcac70d53c
|
{
"intermediate": 0.30572009086608887,
"beginner": 0.5138341188430786,
"expert": 0.18044579029083252
}
|
36,220
|
"using System.Collections.Generic;
namespace StructBenchmarking;
public class Experiments
{
public static ChartData BuildChartDataForArrayCreation(
IBenchmark benchmark, int repetitionsCount)
{
var classesTimes = new List<ExperimentResult>();
var structuresTimes = new List<ExperimentResult>();
//…
return new ChartData
{
Title = “Create array”,
ClassPoints = classesTimes,
StructPoints = structuresTimes,
};
}
public static ChartData BuildChartDataForMethodCall(
IBenchmark benchmark, int repetitionsCount)
{
var classesTimes = new List<ExperimentResult>();
var structuresTimes = new List<ExperimentResult>();
//…
return new ChartData
{
Title = “Call method with argument”,
ClassPoints = classesTimes,
StructPoints = structuresTimes,
};
}
}"Эксперимент 1. Создание массива
В файле ArrayCreationTasks.cs есть две реализации уже знакомого вам интерфейса ITask для работы с классом Benchmark. Оба класса создают массив в методе Run. Но один делает массив структур, а второй массив классов.
В классе ExperimentsTask реализуйте метод BuildChartDataForArrayCreation. Этот метод должен измерять длительность работы метода Run у классов StructArrayCreationTask и ClassArrayCreationTask с помощью Benchmark из прошлого задания.
Нужно измерить время для структур и классов всех размеров, указанных в Constants.FieldCounts. Результаты измерения вернуть в виде объекта ChartData. Дальше в Program.cs эти результаты будут показаны на графиках.
Запустите код на исполнение. Вы должны увидеть первый график скорости работы от количества полей в классе/структуре. На нём должно быть видно, что массивы классов создаются дольше, чем массивы структур.
|
ea07e0f315107c54487a3b6a24b4c74b
|
{
"intermediate": 0.24073311686515808,
"beginner": 0.5711641907691956,
"expert": 0.18810273706912994
}
|
36,221
|
install ng-bootstrap
|
b3466846ceb31c9122ca592a3a1479b9
|
{
"intermediate": 0.46382206678390503,
"beginner": 0.23473016917705536,
"expert": 0.3014478087425232
}
|
36,222
|
Şu kodlarımda ben bir checboxa birden fazla batch kodu eklettirmekiistiyorum using System.IO;
using System.Collections.Generic;
using Microsoft.Win32;
using Microsoft.Dism;
using System.Text.Json;
using ShadesToolkit.ViewModels.Pages;
using Wpf.Ui.Controls;
using System.Diagnostics;
using System.ComponentModel;
using System.Collections.ObjectModel;
using System.Globalization;
using System.Windows.Media;
using static System.Windows.Forms.VisualStyles.VisualStyleElement.StartPanel;
using System.Text;
using System.Windows.Controls;
using TreeViewItem = System.Windows.Controls.TreeViewItem;
namespace ShadesToolkit.Views.Pages
{
public partial class ExtraDebloat : INavigableView<ExtraDebloatViewModel>
{
private string MountFolder = Path.Combine(Path.GetTempPath(), "MountFolder");
public ExtraDebloatViewModel ViewModel { get; }
private readonly Dictionary<CheckBox, string> checkBoxScripts = new Dictionary<CheckBox, string>();
public ExtraDebloat(ExtraDebloatViewModel viewModel)
{
ViewModel = viewModel;
DataContext = this;
InitializeComponent();
checkBoxScripts.Add(OneDrive, "MinSudo.exe --TrustedInstaller --Verbose --WorkDir=\"\" cmd /c \"del /S /Q \"%InstallDir%\\*OneDrive*\"\"");
checkBoxScripts.Add(OneDrive, "MinSudo.exe --TrustedInstaller --Verbose --WorkDir=\"\" cmd /c \"del /S /Q \"%InstallDir%\\*onedrive-backup*\"\"");
checkBoxScripts.Add(iki, "echo Batch Script 2");
checkBoxScripts.Add(uc, "echo Batch Script 3");
checkBoxScripts.Add(dort, "echo Batch Script 4");
}
private void SaveButton_Click(object sender, RoutedEventArgs e)
{
StringBuilder scriptContent = new StringBuilder();
// Bat dosyasının en başına "echo off" ekler
scriptContent.AppendLine("@echo off");
scriptContent.AppendLine("set InstallDir=C:\\Users\\%USERNAME%\\AppData\\Local\\Temp\\MountFolder");
// Her bir TreeViewItem için işleme
foreach (TreeViewItem treeViewItem in treeView.Items)
{
ProcessTreeViewItem(treeViewItem, scriptContent);
}
if (scriptContent.Length > "@echo off".Length + Environment.NewLine.Length)
{
SaveScriptToFile(scriptContent.ToString());
}
else
{
MessageBox.Show("Hiçbir komut seçilmedi.");
}
}
private void ProcessTreeViewItem(ItemsControl itemsControl, StringBuilder scriptContent)
{
foreach (object obj in itemsControl.Items)
{
TreeViewItem subItem = itemsControl.ItemContainerGenerator.ContainerFromItem(obj) as TreeViewItem;
if (subItem != null)
{
// Alt TreeViewItem’ı işle
ProcessTreeViewItem(subItem, scriptContent);
}
CheckBox checkBox = obj as CheckBox;
if (checkBox != null && checkBox.IsChecked == true)
{
string script;
if (checkBoxScripts.TryGetValue(checkBox, out script))
{
// CheckBox’a karşılık gelen batch komutunu sözlükten al ve ekleyebiliriz.
scriptContent.AppendLine(script);
}
}
}
}
private void SaveScriptToFile(string content)
{
string filePath = "tweaker.bat";
File.WriteAllText(filePath, content);
MessageBox.Show(filePath + " kaydedildi.");
}
}
}
|
c8d0f1dc153831de5715d2160266a279
|
{
"intermediate": 0.30030810832977295,
"beginner": 0.42638272047042847,
"expert": 0.2733091413974762
}
|
36,223
|
aesthetic bio ideas
|
43eb4cef4cae085eebe37eece74adcb3
|
{
"intermediate": 0.3403141498565674,
"beginner": 0.4081273674964905,
"expert": 0.2515585422515869
}
|
36,224
|
if (typeof importScripts === 'function') {
importScripts('interface/lib/browserDetector.js');
importScripts('interface/lib/cookie.min.js');
}
(function () {
'use strict';
const connections = {};
const browserDetector = new BrowserDetector();
browserDetector.getApi().runtime.onConnect.addListener(onConnect);
browserDetector.getApi().runtime.onMessage.addListener(handleMessage);
browserDetector.getApi().tabs.onUpdated.addListener(onTabsChanged);
if (!browserDetector.isEdge()) {
browserDetector.getApi().cookies.onChanged.addListener(onCookiesChanged);
}
isFirefoxAndroid(function(response) {
if (response) {
const popupOptions = {};
popupOptions.popup = '/interface/popup-android/cookie-list.html';
browserDetector.getApi().browserAction.setPopup(popupOptions);
}
});
function handleMessage(request, sender, sendResponse) {
switch (request.type) {
case 'getTabs':
browserDetector.getApi().tabs.query({}, function (tabs) {
sendResponse(tabs);
});
return true;
case 'getCurrentTab':
browserDetector.getApi().tabs.query({ active: true, currentWindow: true }, function (tabInfo) {
sendResponse(tabInfo);
});
return true;
case 'getAllCookies':
const getAllCookiesParams = {
url: request.params.url
};
if (browserDetector.isFirefox()) {
browserDetector.getApi().cookies.getAll(getAllCookiesParams).then(sendResponse);
} else {
browserDetector.getApi().cookies.getAll(getAllCookiesParams, sendResponse);
}
return true;
case 'saveCookie':
if (browserDetector.isFirefox()) {
browserDetector.getApi().cookies.set(request.params.cookie).then(cookie => {
sendResponse(null, cookie);
}, error => {
sendResponse(error.message, null);
});
} else {
browserDetector.getApi().cookies.set(request.params.cookie, cookie => {
if (cookie) {
sendResponse(null, cookie);
} else {
let error = browserDetector.getApi().runtime.lastError;
sendResponse(error.message, cookie);
}
});
}
return true;
case 'removeCookie':
const removeParams = {
name: request.params.name,
url: request.params.url
};
if (browserDetector.isFirefox()) {
browserDetector.getApi().cookies.remove(removeParams).then(sendResponse);
} else {
browserDetector.getApi().cookies.remove(removeParams, sendResponse);
}
return true;
}
}
function onConnect(port) {
const extensionListener = function (request, sender, sendResponse) {
switch (request.type) {
case 'init':
connections[request.tabId] = port;
return;
}
// other message handling
};
// Listen to messages sent from the DevTools page
port.onMessage.addListener(extensionListener);
port.onDisconnect.addListener(function(port) {
port.onMessage.removeListener(extensionListener);
const tabs = Object.keys(connections);
let i = 0;
const len = tabs.length;
for (; i < len; i++) {
if (connections[tabs[i]] === port) {
delete connections[tabs[i]];
break;
}
}
});
}
function sendMessageToTab(tabId, type, data) {
if (tabId in connections) {
connections[tabId].postMessage({
type: type,
data: data
});
}
}
function sendMessageToAllTabs(type, data) {
const tabs = Object.keys(connections);
let i = 0;
const len = tabs.length;
for (; i < len; i++) {
sendMessageToTab(tabs[i], type, data);
}
}
function onCookiesChanged(changeInfo) {
sendMessageToAllTabs('cookiesChanged', changeInfo);
}
function onTabsChanged(tabId, changeInfo, tab) {
sendMessageToTab(tabId, 'tabsChanged', changeInfo);
}
function isFirefoxAndroid(callback) {
if (!browserDetector.isFirefox()) {
return callback(false);
}
return browserDetector.getApi().runtime.getPlatformInfo().then((info) => {
callback(info.os === 'android');
});
}
}());
分析以上代码，怎么通过快捷键Alt+6自动导入F:\1.txt文档中的cooikes到当前网站，请按原代码修改，并提供修改后的完整代码
|
56546aae40dcb6f16b3322ea8f64155a
|
{
"intermediate": 0.2999892234802246,
"beginner": 0.5649721622467041,
"expert": 0.13503868877887726
}
|
36,225
|
напиши код по данному алгоритму “Эксперимент 1. Создание массива
В файле ArrayCreationTasks.cs есть две реализации уже знакомого вам интерфейса ITask для работы с классом Benchmark. Оба класса создают массив в методе Run. Но один делает массив структур, а второй массив классов."using System;
using System.Runtime.CompilerServices;
namespace StructBenchmarking;
public class StructArrayCreationTask : ITask
{
private readonly int size;
private object array;
public StructArrayCreationTask(int size)
{
this.size = size;
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
public void Run()
{
switch (size)
{
case 16:
array = new S16[Constants.ArraySize];
break;
case 32:
array = new S32[Constants.ArraySize];
break;
case 64:
array = new S64[Constants.ArraySize];
break;
case 128:
array = new S128[Constants.ArraySize];
break;
case 256:
array = new S256[Constants.ArraySize];
break;
case 512:
array = new S512[Constants.ArraySize];
break;
default:
throw new ArgumentException();
}
}
}
public class ClassArrayCreationTask : ITask
{
private readonly int size;
public C16[] c16;
public C32[] c32;
public C64[] c64;
public C128[] c128;
public C256[] c256;
public C512[] c512;
public ClassArrayCreationTask(int size)
{
this.size = size;
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
public void Run()
{
switch (size)
{
case 16:
c16 = new C16[Constants.ArraySize];
for (int i = 0; i < Constants.ArraySize; i++) c16[i] = new C16();
break;
case 32:
c32 = new C32[Constants.ArraySize];
for (int i = 0; i < Constants.ArraySize; i++) c32[i] = new C32();
break;
case 64:
c64 = new C64[Constants.ArraySize];
for (int i = 0; i < Constants.ArraySize; i++) c64[i] = new C64();
break;
case 128:
c128 = new C128[Constants.ArraySize];
for (int i = 0; i < Constants.ArraySize; i++) c128[i] = new C128();
break;
case 256:
c256 = new C256[Constants.ArraySize];
for (int i = 0; i < Constants.ArraySize; i++) c256[i] = new C256();
break;
case 512:
c512 = new C512[Constants.ArraySize];
for (int i = 0; i < Constants.ArraySize; i++) c512[i] = new C512();
break;
default:
throw new ArgumentException();
}
}
}"
"using System.Collections.Generic;
namespace StructBenchmarking;
public class Experiments
{
public static ChartData BuildChartDataForArrayCreation(
IBenchmark benchmark, int repetitionsCount)
{
var classesTimes = new List<ExperimentResult>();
var structuresTimes = new List<ExperimentResult>();
//...
return new ChartData
{
Title = "Create array",
ClassPoints = classesTimes,
StructPoints = structuresTimes,
};
}
public static ChartData BuildChartDataForMethodCall(
IBenchmark benchmark, int repetitionsCount)
{
var classesTimes = new List<ExperimentResult>();
var structuresTimes = new List<ExperimentResult>();
//...
return new ChartData
{
Title = "Call method with argument",
ClassPoints = classesTimes,
StructPoints = structuresTimes,
};
}
}"В классе ExperimentsTask реализуйте метод BuildChartDataForArrayCreation. Этот метод должен измерять длительность работы метода Run у классов StructArrayCreationTask и ClassArrayCreationTask с помощью Benchmark из прошлого задания.
Нужно измерить время для структур и классов всех размеров, указанных в Constants.FieldCounts. Результаты измерения вернуть в виде объекта ChartData. Дальше в Program.cs эти результаты будут показаны на графиках.
Запустите код на исполнение. Вы должны увидеть первый график скорости работы от количества полей в классе/структуре. На нём должно быть видно, что массивы классов создаются дольше, чем массивы структур.
Эксперимент 2. Передача в метод
Аналогично в файле MethodCallTasks.cs есть ещё пара реализаций ITask. Они вызывают метод, передавая в качестве аргумента класс или структуру с большим количеством полей."using System;
using System.Runtime.CompilerServices;
#pragma warning disable 649
namespace StructBenchmarking;
public class MethodCallWithStructArgumentTask : ITask
{
private readonly int size;
private readonly S16 s16;
private readonly S32 s32;
private readonly S64 s64;
private readonly S128 s128;
private readonly S256 s256;
private readonly S512 s512;
public MethodCallWithStructArgumentTask(int size)
{
this.size = size;
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
public void Run()
{
switch (size)
{
case 16:
PS16(s16);
break;
case 32:
PS32(s32);
break;
case 64:
PS64(s64);
break;
case 128:
PS128(s128);
break;
case 256:
PS256(s256);
break;
case 512:
PS512(s512);
break;
default:
throw new ArgumentException();
}
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
void PS16(S16 o)
{
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
void PS32(S32 o)
{
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
void PS64(S64 o)
{
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
void PS128(S128 o)
{
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
void PS256(S256 o)
{
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
void PS512(S512 o)
{
}
}
public class MethodCallWithClassArgumentTask : ITask
{
private readonly int size;
private readonly C16 c16;
private readonly C32 c32;
private readonly C64 c64;
private readonly C128 c128;
private readonly C256 c256;
private readonly C512 c512;
public MethodCallWithClassArgumentTask(int size)
{
this.size = size;
c16 = new C16();
c32 = new C32();
c64 = new C64();
c128 = new C128();
c256 = new C256();
c512 = new C512();
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
public void Run()
{
switch (size)
{
case 16:
PC16(c16);
break;
case 32:
PC32(c32);
break;
case 64:
PC64(c64);
break;
case 128:
PC128(c128);
break;
case 256:
PC256(c256);
break;
case 512:
PC512(c512);
break;
default:
throw new ArgumentException();
}
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
void PC16(C16 o)
{
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
void PC32(C32 o)
{
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
void PC64(C64 o)
{
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
void PC128(C128 o)
{
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
void PC256(C256 o)
{
}
[MethodImpl(MethodImplOptions.NoOptimization | MethodImplOptions.NoInlining)]
void PC512(C512 o)
{
}
}"
В том же классе ExperimentsTask реализуйте метод BuildChartDataForMethodCall.
Избавьтесь от дублирования кода в методах BuildChartDataForMethodCall и BuildChartDataForArrayCreation. Возможно, для этого понадобится создать новые классы.
Запустите код на исполнение. Вы должны увидеть второй график, показывающий, что большие классы передаются в метод быстрее, чем большие структуры.
Попробуйте объяснить наблюдаемый результат.
Подсказка
Избавиться от дублирования в коде BuildChartDataForMethodCall и BuildChartDataForArrayCreation поможет паттерн абстрактная фабрика.”
|
2587b3634979b420ec507eba5d857e15
|
{
"intermediate": 0.31573736667633057,
"beginner": 0.4498242735862732,
"expert": 0.23443840444087982
}
|
36,226
|
In C, what is a simple way to get a random integer that looks like a pointer (eg. aligned on a pointer boundary)?
|
bc4bc837c9a31eb923d67a148c005ccb
|
{
"intermediate": 0.3464018702507019,
"beginner": 0.22350315749645233,
"expert": 0.43009501695632935
}
|
36,227
|
Тут есть где проставить кодировку? укажи номер строки если есть, #!/usr/bin/env python
"""A simple Multi-User Dungeon (MUD) game. Players can talk to each
other, examine their surroundings and move between rooms.
Some ideas for things to try adding:
* More rooms to explore
* An 'emote' command e.g. 'emote laughs out loud' -> 'Mark laughs
out loud'
* A 'whisper' command for talking to individual players
* A 'shout' command for yelling to players in all rooms
* Items to look at in rooms e.g. 'look fireplace' -> 'You see a
roaring, glowing fire'
* Items to pick up e.g. 'take rock' -> 'You pick up the rock'
* Monsters to fight
* Loot to collect
* Saving players accounts between sessions
* A password login
* A shop from which to buy items
author: Mark Frimston - mfrimston@gmail.com
"""
import time
# import the MUD server class
from mudserver import MudServer
# structure defining the rooms in the game. Try adding more rooms to the game!
rooms = {
"таверна": {
"description": "ты находишься в таверне, ты видишь перед собой камин, который пылает огнём: ты можешь его кстати осмотреть, но я ещё не добавил эту функцию",
"exits": {"outside": "снаружи"},
},
"снаружи": {
"description": "перед входом в таверну",
"exits": {"inside": "таверна"},
}
}
# stores the players in the game
players = {}
# start the server
mud = MudServer()
# main game loop. We loop forever (i.e. until the program is terminated)
while True:
# pause for 1/5 of a second on each loop, so that we don't constantly
# use 100% CPU time
time.sleep(0.2)
# 'update' must be called in the loop to keep the game running and give
# us up-to-date information
mud.update()
# go through any newly connected players
for id in mud.get_new_players():
# add the new player to the dictionary, noting that they've not been
# named yet.
# The dictionary key is the player's id number. We set their room to
# None initially until they have entered a name
# Try adding more player stats - level, gold, inventory, etc
players[id] = {
"name": None,
"room": None,
}
# send the new player a prompt for their name
mud.send_message(id, "приветствую, это мой новый эксперимент, введи свой ник")
# go through any recently disconnected players
for id in mud.get_disconnected_players():
# if for any reason the player isn't in the player map, skip them and
# move on to the next one
if id not in players:
continue
# go through all the players in the game
for pid, pl in players.items():
# send each player a message to tell them about the diconnected
# player
mud.send_message(pid, "{} quit the game".format(
players[id]["name"]))
# remove the player's entry in the player dictionary
del(players[id])
# go through any new commands sent from players
for id, command, params in mud.get_commands():
# if for any reason the player isn't in the player map, skip them and
# move on to the next one
if id not in players:
continue
# if the player hasn't given their name yet, use this first command as
# their name and move them to the starting room.
if players[id]["name"] is None:
players[id]["name"] = command
players[id]["room"] = "снаружи"
# go through all the players in the game
for pid, pl in players.items():
# send each player a message to tell them about the new player
mud.send_message(pid, "{} в игре".format(
players[id]["name"]))
# send the new player a welcome message
mud.send_message(id, "привет, {}. ".format(
players[id]["name"])
+ "напиши 'помощь' !")
# send the new player the description of their current room
mud.send_message(id, rooms[players[id]["room"]]["description"])
# each of the possible commands is handled below. Try adding new
# commands to the game!
# 'help' command
elif command == "помощь":
# send the player back the list of possible commands
mud.send_message(id, "команды:")
mud.send_message(id, " , "
+ "e.g. 'сказать Hello'")
mud.send_message(id, " осмотреться - Examines the "
+ "surroundings, e.g. 'look'")
mud.send_message(id, " go <exit> - Moves through the exit "
+ "specified, e.g. 'go outside'")
# 'say' command
elif command == "сказать":
# go through every player in the game
for pid, pl in players.items():
# if they're in the same room as the player
if players[pid]["room"] == players[id]["room"]:
# send them a message telling them what the player said
mud.send_message(pid, "{} говорит: {}".format(
players[id]["name"], params))
# 'look' command
elif command == "осмотреться":
# store the player's current room
rm = rooms[players[id]["room"]]
# send the player back the description of their current room
mud.send_message(id, rm["description"])
playershere = []
# go through every player in the game
for pid, pl in players.items():
# if they're in the same room as the player
if players[pid]["room"] == players[id]["room"]:
# ... and they have a name to be shown
if players[pid]["name"] is not None:
# add their name to the list
playershere.append(players[pid]["name"])
# send player a message containing the list of players in the room
mud.send_message(id, "Players here: {}".format(
", ".join(playershere)))
# send player a message containing the list of exits from this room
mud.send_message(id, "Exits are: {}".format(
", ".join(rm["exits"])))
# 'go' command
elif command == "go":
# store the exit name
ex = params.lower()
# store the player's current room
rm = rooms[players[id]["room"]]
# if the specified exit is found in the room's exits list
if ex in rm["exits"]:
# go through all the players in the game
for pid, pl in players.items():
# if player is in the same room and isn't the player
# sending the command
if players[pid]["room"] == players[id]["room"] \
and pid != id:
# send them a message telling them that the player
# left the room
mud.send_message(pid, "{} left via exit '{}'".format(
players[id]["name"], ex))
# update the player's current room to the one the exit leads to
players[id]["room"] = rm["exits"][ex]
rm = rooms[players[id]["room"]]
# go through all the players in the game
for pid, pl in players.items():
# if player is in the same (new) room and isn't the player
# sending the command
if players[pid]["room"] == players[id]["room"] \
and pid != id:
# send them a message telling them that the player
# entered the room
mud.send_message(pid,
"{} arrived via exit '{}'".format(
players[id]["name"], ex))
# send the player a message telling them where they are now
mud.send_message(id, "You arrive at '{}'".format(
players[id]["room"]))
# the specified exit wasn't found in the current room
else:
# send back an 'unknown exit' message
mud.send_message(id, "Unknown exit '{}'".format(ex))
# some other, unrecognised command
else:
# send back an 'unknown command' message
mud.send_message(id, "Unknown command '{}'".format(command))
|
ae72fd267daab1c02ab77c0e0b6c6f8f
|
{
"intermediate": 0.41503265500068665,
"beginner": 0.43067121505737305,
"expert": 0.1542961150407791
}
|
36,228
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: N/AIn case of a shutdown before I summarize the article, the next GPT instance should browse the URL to read the article on MIT researchers introducing a new machine learning approach for developing mini GPTs via contextual pruning.The GPT instance was tasked with summarizing an article regarding MIT researchers’ development of Mini-GPTs via contextual pruning. The content of the article is provided directly in the prompt, obviating the need to browse the website. No previous files or URLs from this session.A file named ‘summary_marktechpost_article.txt’ has been created containing bullet points summarizing the MIT researchers’ introduction of a novel machine learning approach for developing Mini-GPTs via contextual pruning as detailed in the provided content.In the process of confirming the details of the written summary in the file ‘summary_marktechpost_article.txt’ based on the content provided directly in the prompt. This step verifies the summary before presenting it as the completed task.File ‘summary_marktechpost_article.txt’ contains the summarized bullet points derived from the original article content. The summary has been sent to the user, completing the task of creating a summarized list of bullet points based on the provided content.The bullet-point summary of the MIT research article was created, saved into the file ‘summary_marktechpost_article.txt’, and delivered to the user. Following the successful transmission of this summary, the system is now executing the ‘task_complete’ command to signify the end of this task.
The Task: Search for the latest technology breakthroughs that were announced on December 24th, 2023. Arrange these stories in descending order of their anticipated popularity and engagement if posted on Instagram. Present the sorted news highlights in bullet points. Then, from this list, select the event most likely to stimulate interactions on Instagram. Craft an engaging post summarizing that news in bullet-point format and compose an Instagram-ready caption that encapsulates the essence of the story.
|
4e0c9d8f39b2fe47f915302ce8e42408
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
36,229
|
does threejs use gpu
|
cd665d1b45973a4acc5d5981b395584b
|
{
"intermediate": 0.36952969431877136,
"beginner": 0.19995421171188354,
"expert": 0.4305160641670227
}
|
36,230
|
У меня вопрос что я не так сделал вот ошибка
encoded_data = data.encode(‘utf-8’)
SyntaxError: invalid character '‘' (U+2018)
а вот сам кот
"""Basic MUD server module for creating text-based Multi-User Dungeon
(MUD) games.
Contains one class, MudServer, which can be instantiated to start a
server running then used to send and receive messages from players.
author: Mark Frimston - mfrimston@gmail.com
"""
import socket
import select
import time
import sys
class MudServer(object):
"""A basic server for text-based Multi-User Dungeon (MUD) games.
Once created, the server will listen for players connecting using
Telnet. Messages can then be sent to and from multiple connected
players.
The 'update' method should be called in a loop to keep the server
running.
"""
# An inner class which is instantiated for each connected client to store
# info about them
class _Client(object):
"""Holds information about a connected player"""
# the socket object used to communicate with this client
socket = None
# the ip address of this client
address = ""
# holds data send from the client until a full message is received
buffer = ""
# the last time we checked if the client was still connected
lastcheck = 0
def __init__(self, socket, address, buffer, lastcheck):
self.socket = socket
self.address = address
self.buffer = buffer
self.lastcheck = lastcheck
# Used to store different types of occurences
_EVENT_NEW_PLAYER = 1
_EVENT_PLAYER_LEFT = 2
_EVENT_COMMAND = 3
# Different states we can be in while reading data from client
# See _process_sent_data function
_READ_STATE_NORMAL = 1
_READ_STATE_COMMAND = 2
_READ_STATE_SUBNEG = 3
# Command codes used by Telnet protocol
# See _process_sent_data function
_TN_INTERPRET_AS_COMMAND = 255
_TN_ARE_YOU_THERE = 246
_TN_WILL = 251
_TN_WONT = 252
_TN_DO = 253
_TN_DONT = 254
_TN_SUBNEGOTIATION_START = 250
_TN_SUBNEGOTIATION_END = 240
# socket used to listen for new clients
_listen_socket = None
# holds info on clients. Maps client id to _Client object
_clients = {}
# counter for assigning each client a new id
_nextid = 0
# list of occurences waiting to be handled by the code
_events = []
# list of newly-added occurences
_new_events = []
def __init__(self):
"""Constructs the MudServer object and starts listening for
new players.
"""
self._clients = {}
self._nextid = 0
self._events = []
self._new_events = []
# create a new tcp socket which will be used to listen for new clients
self._listen_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# set a special option on the socket which allows the port to be
# immediately without having to wait
self._listen_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR,
1)
# bind the socket to an ip address and port. Port 23 is the standard
# telnet port which telnet clients will use, however on some platforms
# this requires root permissions, so we use a higher arbitrary port
# number instead: 1234. Address 0.0.0.0 means that we will bind to all
# of the available network interfaces
self._listen_socket.bind(("0.0.0.0", 1234))
# set to non-blocking mode. This means that when we call 'accept', it
# will return immediately without waiting for a connection
self._listen_socket.setblocking(False)
# start listening for connections on the socket
self._listen_socket.listen(1)
def update(self):
"""Checks for new players, disconnected players, and new
messages sent from players. This method must be called before
up-to-date info can be obtained from the 'get_new_players',
'get_disconnected_players' and 'get_commands' methods.
It should be called in a loop to keep the game running.
"""
# check for new stuff
self._check_for_new_connections()
self._check_for_disconnected()
self._check_for_messages()
# move the new events into the main events list so that they can be
# obtained with 'get_new_players', 'get_disconnected_players' and
# 'get_commands'. The previous events are discarded
self._events = list(self._new_events)
self._new_events = []
def get_new_players(self):
"""Returns a list containing info on any new players that have
entered the game since the last call to 'update'. Each item in
the list is a player id number.
"""
retval = []
# go through all the events in the main list
for ev in self._events:
# if the event is a new player occurence, add the info to the list
if ev[0] == self._EVENT_NEW_PLAYER:
retval.append(ev[1])
# return the info list
return retval
def get_disconnected_players(self):
"""Returns a list containing info on any players that have left
the game since the last call to 'update'. Each item in the list
is a player id number.
"""
retval = []
# go through all the events in the main list
for ev in self._events:
# if the event is a player disconnect occurence, add the info to
# the list
if ev[0] == self._EVENT_PLAYER_LEFT:
retval.append(ev[1])
# return the info list
return retval
def get_commands(self):
"""Returns a list containing any commands sent from players
since the last call to 'update'. Each item in the list is a
3-tuple containing the id number of the sending player, a
string containing the command (i.e. the first word of what
they typed), and another string containing the text after the
command
"""
retval = []
# go through all the events in the main list
for ev in self._events:
# if the event is a command occurence, add the info to the list
if ev[0] == self._EVENT_COMMAND:
retval.append((ev[1], ev[2], ev[3]))
# return the info list
return retval
def send_message(self, to, message):
"""Sends the text in the 'message' parameter to the player with
the id number given in the 'to' parameter. The text will be
printed out in the player's terminal.
"""
# we make sure to put a newline on the end so the client receives the
# message on its own line
self._attempt_send(to, message+"\n\r")
def shutdown(self):
"""Closes down the server, disconnecting all clients and
closing the listen socket.
"""
# for each client
for cl in self._clients.values():
# close the socket, disconnecting the client
cl.socket.shutdown(socket.SHUT_RDWR)
cl.socket.close()
# stop listening for new clients
self._listen_socket.close()
def _attempt_send(self, clid, data):
# python 2/3 compatability fix - convert non-unicode string to unicode
if sys.version < '3' and type(data) != unicode:
data = unicode(data, "latin1")
try:
encoded_data = data.encode(‘utf-8’)
# look up the client in the client map and use 'sendall' to send
# the message string on the socket. 'sendall' ensures that all of
# the data is sent in one go
self._clients[clid].socket.sendall(encoded_data)
# KeyError will be raised if there is no client with the given id in
# the map
except KeyError:
pass
# If there is a connection problem with the client (e.g. they have
# disconnected) a socket error will be raised
except socket.error:
self._handle_disconnect(clid)
def _check_for_new_connections(self):
# 'select' is used to check whether there is data waiting to be read
# from the socket. We pass in 3 lists of sockets, the first being those
# to check for readability. It returns 3 lists, the first being
# the sockets that are readable. The last parameter is how long to wait
# - we pass in 0 so that it returns immediately without waiting
rlist, wlist, xlist = select.select([self._listen_socket], [], [], 0)
# if the socket wasn't in the readable list, there's no data available,
# meaning no clients waiting to connect, and so we can exit the method
# here
if self._listen_socket not in rlist:
return
# 'accept' returns a new socket and address info which can be used to
# communicate with the new client
joined_socket, addr = self._listen_socket.accept()
# set non-blocking mode on the new socket. This means that 'send' and
# 'recv' will return immediately without waiting
joined_socket.setblocking(False)
# construct a new _Client object to hold info about the newly connected
# client. Use 'nextid' as the new client's id number
self._clients[self._nextid] = MudServer._Client(joined_socket, addr[0],
"", time.time())
# add a new player occurence to the new events list with the player's
# id number
self._new_events.append((self._EVENT_NEW_PLAYER, self._nextid))
# add 1 to 'nextid' so that the next client to connect will get a
# unique id number
self._nextid += 1
def _check_for_disconnected(self):
# go through all the clients
for id, cl in list(self._clients.items()):
# if we last checked the client less than 5 seconds ago, skip this
# client and move on to the next one
if time.time() - cl.lastcheck < 5.0:
continue
# send the client an invisible character. It doesn't actually
# matter what we send, we're really just checking that data can
# still be written to the socket. If it can't, an error will be
# raised and we'll know that the client has disconnected.
self._attempt_send(id, "\x00")
# update the last check time
cl.lastcheck = time.time()
def _check_for_messages(self):
# go through all the clients
for id, cl in list(self._clients.items()):
# we use 'select' to test whether there is data waiting to be read
# from the client socket. The function takes 3 lists of sockets,
# the first being those to test for readability. It returns 3 list
# of sockets, the first being those that are actually readable.
rlist, wlist, xlist = select.select([cl.socket], [], [], 0)
# if the client socket wasn't in the readable list, there is no
# new data from the client - we can skip it and move on to the next
# one
if cl.socket not in rlist:
continue
try:
# read data from the socket, using a max length of 4096
data = cl.socket.recv(4096).decode(“utf-8”)
# process the data, stripping out any special Telnet commands
message = self._process_sent_data(cl, data)
# if there was a message in the data
if message:
# remove any spaces, tabs etc from the start and end of
# the message
message = message.strip()
# separate the message into the command (the first word)
# and its parameters (the rest of the message)
command, params = (message.split(" ", 1) + ["", ""])[:2]
# add a command occurence to the new events list with the
# player's id number, the command and its parameters
self._new_events.append((self._EVENT_COMMAND, id,
command.lower(), params))
# if there is a problem reading from the socket (e.g. the client
# has disconnected) a socket error will be raised
except socket.error:
self._handle_disconnect(id)
def _handle_disconnect(self, clid):
# remove the client from the clients map
del(self._clients[clid])
# add a 'player left' occurence to the new events list, with the
# player's id number
self._new_events.append((self._EVENT_PLAYER_LEFT, clid))
def _process_sent_data(self, client, data):
# the Telnet protocol allows special command codes to be inserted into
# messages. For our very simple server we don't need to response to
# any of these codes, but we must at least detect and skip over them
# so that we don't interpret them as text data.
# More info on the Telnet protocol can be found here:
# http://pcmicro.com/netfoss/telnet.html
# start with no message and in the normal state
message = None
state = self._READ_STATE_NORMAL
# go through the data a character at a time
for c in data:
# handle the character differently depending on the state we're in:
# normal state
if state == self._READ_STATE_NORMAL:
# if we received the special 'interpret as command' code,
# switch to 'command' state so that we handle the next
# character as a command code and not as regular text data
if ord(c) == self._TN_INTERPRET_AS_COMMAND:
state = self._READ_STATE_COMMAND
# if we get a newline character, this is the end of the
# message. Set 'message' to the contents of the buffer and
# clear the buffer
elif c == "\n":
message = client.buffer
client.buffer = ""
# some telnet clients send the characters as soon as the user
# types them. So if we get a backspace character, this is where
# the user has deleted a character and we should delete the
# last character from the buffer.
elif c == "\x08":
client.buffer = client.buffer[:-1]
# otherwise it's just a regular character - add it to the
# buffer where we're building up the received message
else:
client.buffer += c
# command state
elif state == self._READ_STATE_COMMAND:
# the special 'start of subnegotiation' command code indicates
# that the following characters are a list of options until
# we're told otherwise. We switch into 'subnegotiation' state
# to handle this
if ord(c) == self._TN_SUBNEGOTIATION_START:
state = self._READ_STATE_SUBNEG
# if the command code is one of the 'will', 'wont', 'do' or
# 'dont' commands, the following character will be an option
# code so we must remain in the 'command' state
elif ord(c) in (self._TN_WILL, self._TN_WONT, self._TN_DO,
self._TN_DONT):
state = self._READ_STATE_COMMAND
# for all other command codes, there is no accompanying data so
# we can return to 'normal' state.
else:
state = self._READ_STATE_NORMAL
# subnegotiation state
elif state == self._READ_STATE_SUBNEG:
# if we reach an 'end of subnegotiation' command, this ends the
# list of options and we can return to 'normal' state.
# Otherwise we must remain in this state
if ord(c) == self._TN_SUBNEGOTIATION_END:
state = self._READ_STATE_NORMAL
# return the contents of 'message' which is either a string or None
return message
|
f836ce9afed24cf725383c38705a860b
|
{
"intermediate": 0.22672665119171143,
"beginner": 0.6591148376464844,
"expert": 0.11415853351354599
}
|
36,231
|
Мы с тобой за это разговаривали короче смотри вот у меня ошибка а вот кот вот ошибка
File "/storage/emulated/0/Download/mud-pi/mudserver.py", line 205
encoded_data = data.encode(‘utf-8’)
^
SyntaxError: invalid character '‘' (U+2018)
а вот кот
"""Basic MUD server module for creating text-based Multi-User Dungeon
(MUD) games.
Contains one class, MudServer, which can be instantiated to start a
server running then used to send and receive messages from players.
author: Mark Frimston - mfrimston@gmail.com
"""
import socket
import select
import time
import sys
class MudServer(object):
"""A basic server for text-based Multi-User Dungeon (MUD) games.
Once created, the server will listen for players connecting using
Telnet. Messages can then be sent to and from multiple connected
players.
The 'update' method should be called in a loop to keep the server
running.
"""
# An inner class which is instantiated for each connected client to store
# info about them
class _Client(object):
"""Holds information about a connected player"""
# the socket object used to communicate with this client
socket = None
# the ip address of this client
address = ""
# holds data send from the client until a full message is received
buffer = ""
# the last time we checked if the client was still connected
lastcheck = 0
def __init__(self, socket, address, buffer, lastcheck):
self.socket = socket
self.address = address
self.buffer = buffer
self.lastcheck = lastcheck
# Used to store different types of occurences
_EVENT_NEW_PLAYER = 1
_EVENT_PLAYER_LEFT = 2
_EVENT_COMMAND = 3
# Different states we can be in while reading data from client
# See _process_sent_data function
_READ_STATE_NORMAL = 1
_READ_STATE_COMMAND = 2
_READ_STATE_SUBNEG = 3
# Command codes used by Telnet protocol
# See _process_sent_data function
_TN_INTERPRET_AS_COMMAND = 255
_TN_ARE_YOU_THERE = 246
_TN_WILL = 251
_TN_WONT = 252
_TN_DO = 253
_TN_DONT = 254
_TN_SUBNEGOTIATION_START = 250
_TN_SUBNEGOTIATION_END = 240
# socket used to listen for new clients
_listen_socket = None
# holds info on clients. Maps client id to _Client object
_clients = {}
# counter for assigning each client a new id
_nextid = 0
# list of occurences waiting to be handled by the code
_events = []
# list of newly-added occurences
_new_events = []
def __init__(self):
"""Constructs the MudServer object and starts listening for
new players.
"""
self._clients = {}
self._nextid = 0
self._events = []
self._new_events = []
# create a new tcp socket which will be used to listen for new clients
self._listen_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# set a special option on the socket which allows the port to be
# immediately without having to wait
self._listen_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR,
1)
# bind the socket to an ip address and port. Port 23 is the standard
# telnet port which telnet clients will use, however on some platforms
# this requires root permissions, so we use a higher arbitrary port
# number instead: 1234. Address 0.0.0.0 means that we will bind to all
# of the available network interfaces
self._listen_socket.bind(("0.0.0.0", 1234))
# set to non-blocking mode. This means that when we call 'accept', it
# will return immediately without waiting for a connection
self._listen_socket.setblocking(False)
# start listening for connections on the socket
self._listen_socket.listen(1)
def update(self):
"""Checks for new players, disconnected players, and new
messages sent from players. This method must be called before
up-to-date info can be obtained from the 'get_new_players',
'get_disconnected_players' and 'get_commands' methods.
It should be called in a loop to keep the game running.
"""
# check for new stuff
self._check_for_new_connections()
self._check_for_disconnected()
self._check_for_messages()
# move the new events into the main events list so that they can be
# obtained with 'get_new_players', 'get_disconnected_players' and
# 'get_commands'. The previous events are discarded
self._events = list(self._new_events)
self._new_events = []
def get_new_players(self):
"""Returns a list containing info on any new players that have
entered the game since the last call to 'update'. Each item in
the list is a player id number.
"""
retval = []
# go through all the events in the main list
for ev in self._events:
# if the event is a new player occurence, add the info to the list
if ev[0] == self._EVENT_NEW_PLAYER:
retval.append(ev[1])
# return the info list
return retval
def get_disconnected_players(self):
"""Returns a list containing info on any players that have left
the game since the last call to 'update'. Each item in the list
is a player id number.
"""
retval = []
# go through all the events in the main list
for ev in self._events:
# if the event is a player disconnect occurence, add the info to
# the list
if ev[0] == self._EVENT_PLAYER_LEFT:
retval.append(ev[1])
# return the info list
return retval
def get_commands(self):
"""Returns a list containing any commands sent from players
since the last call to 'update'. Each item in the list is a
3-tuple containing the id number of the sending player, a
string containing the command (i.e. the first word of what
they typed), and another string containing the text after the
command
"""
retval = []
# go through all the events in the main list
for ev in self._events:
# if the event is a command occurence, add the info to the list
if ev[0] == self._EVENT_COMMAND:
retval.append((ev[1], ev[2], ev[3]))
# return the info list
return retval
def send_message(self, to, message):
"""Sends the text in the 'message' parameter to the player with
the id number given in the 'to' parameter. The text will be
printed out in the player's terminal.
"""
# we make sure to put a newline on the end so the client receives the
# message on its own line
self._attempt_send(to, message+"\n\r")
def shutdown(self):
"""Closes down the server, disconnecting all clients and
closing the listen socket.
"""
# for each client
for cl in self._clients.values():
# close the socket, disconnecting the client
cl.socket.shutdown(socket.SHUT_RDWR)
cl.socket.close()
# stop listening for new clients
self._listen_socket.close()
def _attempt_send(self, clid, data):
# python 2/3 compatability fix - convert non-unicode string to unicode
if sys.version < '3' and type(data) != unicode:
data = unicode(data, "latin1")
try:
encoded_data = data.encode(‘utf-8’)
# look up the client in the client map and use 'sendall' to send
# the message string on the socket. 'sendall' ensures that all of
# the data is sent in one go
self._clients[clid].socket.sendall(encoded_data)
# KeyError will be raised if there is no client with the given id in
# the map
except KeyError:
pass
# If there is a connection problem with the client (e.g. they have
# disconnected) a socket error will be raised
except socket.error:
self._handle_disconnect(clid)
def _check_for_new_connections(self):
# 'select' is used to check whether there is data waiting to be read
# from the socket. We pass in 3 lists of sockets, the first being those
# to check for readability. It returns 3 lists, the first being
# the sockets that are readable. The last parameter is how long to wait
# - we pass in 0 so that it returns immediately without waiting
rlist, wlist, xlist = select.select([self._listen_socket], [], [], 0)
# if the socket wasn't in the readable list, there's no data available,
# meaning no clients waiting to connect, and so we can exit the method
# here
if self._listen_socket not in rlist:
return
# 'accept' returns a new socket and address info which can be used to
# communicate with the new client
joined_socket, addr = self._listen_socket.accept()
# set non-blocking mode on the new socket. This means that 'send' and
# 'recv' will return immediately without waiting
joined_socket.setblocking(False)
# construct a new _Client object to hold info about the newly connected
# client. Use 'nextid' as the new client's id number
self._clients[self._nextid] = MudServer._Client(joined_socket, addr[0],
"", time.time())
# add a new player occurence to the new events list with the player's
# id number
self._new_events.append((self._EVENT_NEW_PLAYER, self._nextid))
# add 1 to 'nextid' so that the next client to connect will get a
# unique id number
self._nextid += 1
def _check_for_disconnected(self):
# go through all the clients
for id, cl in list(self._clients.items()):
# if we last checked the client less than 5 seconds ago, skip this
# client and move on to the next one
if time.time() - cl.lastcheck < 5.0:
continue
# send the client an invisible character. It doesn't actually
# matter what we send, we're really just checking that data can
# still be written to the socket. If it can't, an error will be
# raised and we'll know that the client has disconnected.
self._attempt_send(id, "\x00")
# update the last check time
cl.lastcheck = time.time()
def _check_for_messages(self):
# go through all the clients
for id, cl in list(self._clients.items()):
# we use 'select' to test whether there is data waiting to be read
# from the client socket. The function takes 3 lists of sockets,
# the first being those to test for readability. It returns 3 list
# of sockets, the first being those that are actually readable.
rlist, wlist, xlist = select.select([cl.socket], [], [], 0)
# if the client socket wasn't in the readable list, there is no
# new data from the client - we can skip it and move on to the next
# one
if cl.socket not in rlist:
continue
try:
# read data from the socket, using a max length of 4096
data = cl.socket.recv(4096).decode(“utf-8”)
# process the data, stripping out any special Telnet commands
message = self._process_sent_data(cl, data)
# if there was a message in the data
if message:
# remove any spaces, tabs etc from the start and end of
# the message
message = message.strip()
# separate the message into the command (the first word)
# and its parameters (the rest of the message)
command, params = (message.split(" ", 1) + ["", ""])[:2]
# add a command occurence to the new events list with the
# player's id number, the command and its parameters
self._new_events.append((self._EVENT_COMMAND, id,
command.lower(), params))
# if there is a problem reading from the socket (e.g. the client
# has disconnected) a socket error will be raised
except socket.error:
self._handle_disconnect(id)
def _handle_disconnect(self, clid):
# remove the client from the clients map
del(self._clients[clid])
# add a 'player left' occurence to the new events list, with the
# player's id number
self._new_events.append((self._EVENT_PLAYER_LEFT, clid))
def _process_sent_data(self, client, data):
# the Telnet protocol allows special command codes to be inserted into
# messages. For our very simple server we don't need to response to
# any of these codes, but we must at least detect and skip over them
# so that we don't interpret them as text data.
# More info on the Telnet protocol can be found here:
# http://pcmicro.com/netfoss/telnet.html
# start with no message and in the normal state
message = None
state = self._READ_STATE_NORMAL
# go through the data a character at a time
for c in data:
# handle the character differently depending on the state we're in:
# normal state
if state == self._READ_STATE_NORMAL:
# if we received the special 'interpret as command' code,
# switch to 'command' state so that we handle the next
# character as a command code and not as regular text data
if ord(c) == self._TN_INTERPRET_AS_COMMAND:
state = self._READ_STATE_COMMAND
# if we get a newline character, this is the end of the
# message. Set 'message' to the contents of the buffer and
# clear the buffer
elif c == "\n":
message = client.buffer
client.buffer = ""
# some telnet clients send the characters as soon as the user
# types them. So if we get a backspace character, this is where
# the user has deleted a character and we should delete the
# last character from the buffer.
elif c == "\x08":
client.buffer = client.buffer[:-1]
# otherwise it's just a regular character - add it to the
# buffer where we're building up the received message
else:
client.buffer += c
# command state
elif state == self._READ_STATE_COMMAND:
# the special 'start of subnegotiation' command code indicates
# that the following characters are a list of options until
# we're told otherwise. We switch into 'subnegotiation' state
# to handle this
if ord(c) == self._TN_SUBNEGOTIATION_START:
state = self._READ_STATE_SUBNEG
# if the command code is one of the 'will', 'wont', 'do' or
# 'dont' commands, the following character will be an option
# code so we must remain in the 'command' state
elif ord(c) in (self._TN_WILL, self._TN_WONT, self._TN_DO,
self._TN_DONT):
state = self._READ_STATE_COMMAND
# for all other command codes, there is no accompanying data so
# we can return to 'normal' state.
else:
state = self._READ_STATE_NORMAL
# subnegotiation state
elif state == self._READ_STATE_SUBNEG:
# if we reach an 'end of subnegotiation' command, this ends the
# list of options and we can return to 'normal' state.
# Otherwise we must remain in this state
if ord(c) == self._TN_SUBNEGOTIATION_END:
state = self._READ_STATE_NORMAL
# return the contents of 'message' which is either a string or None
return message
|
261614780d93261969f96ab74cf78326
|
{
"intermediate": 0.2835243344306946,
"beginner": 0.5082041621208191,
"expert": 0.20827153325080872
}
|
36,232
|
/**
* @param {number[]} piles
* @param {number} k
* @return {number}
*/
var minStoneSum = function (piles, k) {
// k是执行次数
while (k > 0) {
let index = piles.indexOf(Math.max(...piles));
piles[index] = Math.max(...piles) - Math.floor(Math.max(...piles) / 2)
k--;
}
piles.forEach(element => {
k += element;
})
return k
};我这代码超出时间限制，能否优化一下
|
d977dcd5cb8dbcf91bba0684d5493b33
|
{
"intermediate": 0.31984788179397583,
"beginner": 0.3297309875488281,
"expert": 0.35042113065719604
}
|
36,233
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: N/AIn case of a shutdown before I summarize the article, the next GPT instance should browse the URL to read the article on MIT researchers introducing a new machine learning approach for developing mini GPTs via contextual pruning.The GPT instance was tasked with summarizing an article regarding MIT researchers’ development of Mini-GPTs via contextual pruning. The content of the article is provided directly in the prompt, obviating the need to browse the website. No previous files or URLs from this session.A file named ‘summary_marktechpost_article.txt’ has been created containing bullet points summarizing the MIT researchers’ introduction of a novel machine learning approach for developing Mini-GPTs via contextual pruning as detailed in the provided content.In the process of confirming the details of the written summary in the file ‘summary_marktechpost_article.txt’ based on the content provided directly in the prompt. This step verifies the summary before presenting it as the completed task.File ‘summary_marktechpost_article.txt’ contains the summarized bullet points derived from the original article content. The summary has been sent to the user, completing the task of creating a summarized list of bullet points based on the provided content.The bullet-point summary of the MIT research article was created, saved into the file ‘summary_marktechpost_article.txt’, and delivered to the user. Following the successful transmission of this summary, the system is now executing the ‘task_complete’ command to signify the end of this task.Commencing the task of finding the latest technology breakthroughs from December 24th, 2023, by initiating a Google search. Next steps will involve sorting the information and crafting an Instagram post.saved google search results at googleresults84.txt to retrieve if shutdown randomly.After a Google search, I am about to browse the article on www.space.com detailing the SpaceX Falcon 9 rocket’s latest launch. This is to create a summary and eventually assess its popularity for Instagram engagement.saved the scraping of the website results at websiteresults85.txt to retrieve if shutdown randomly.The latest breakthrough about the SpaceX Falcon 9 rocket launch has been stored in memory under key ‘SpaceX_Launch_Info’. I need to continue to gather more breakthroughs from December 24th, 2023, before ranking and selecting the most suitable for an Instagram post.After storing the SpaceX Falcon 9 rocket launch information, I am now exploring a breakthrough battery technology announcement for further consideration in the Instagram content ranking task.saved the scraping of the website results at websiteresults86.txt to retrieve if shutdown randomly.Now have stored details about two significant breakthroughs: the launch of SpaceX Falcon 9 rocket and a major advancement in battery technology. Must continue searching for other breakthroughs before proceeding to rank them and create an Instagram post.So far, detailed information on a SpaceX launch and a battery technology breakthrough have been gathered and stored. Now proceeding to review Physics World’s top 10 breakthroughs of the year to find relevant content to include in the Instagram post task.I have collected significant breakthroughs from Physics World’s announcement. These will contribute to the compilation of the most popular and engaging technology news for Instagram post consideration. The summary of these breakthroughs has been saved with the key ‘PhysicsWorld_Breakthroughs’. The next step is to compile all collected data and rank these stories according to their anticipated popularity and engagement on Instagram.I am retrieving the stored memory for the SpaceX Falcon 9 rocket launch to begin comparing and ranking the technology breakthroughs gathered thus far. The retrieved information will be used alongside the details on the breakthrough battery technology and Physics World’s breakthroughs for the Instagram post task.The SpaceX launch information has been retrieved and noted. Now, I am retrieving the battery technology information to compare all breakthroughs and then rank them by anticipated Instagram popularity for the Instagram post task.The SpaceX Falcon 9 launch details and the battery technology advancement have been retrieved successfully. I’m now about to retrieve the Physics World’s top 10 breakthroughs to rank all information gathered and develop the Instagram post content.All relevant breakthrough information, including SpaceX rocket launch, battery technology, and Physics World’s top 10 breakthroughs, has been gathered. A thoughtful analysis will be conducted to rank these stories before preparing the Instagram post content. After ranking, the selected event will be summarized in bullet-point format with an engaging caption crafted and submitted as complete.Starting the creation process for the Instagram post by first searching for tips on how to effectively create DALL-E prompts. After acquiring the tips, I’ll generate an image for the post depicting the recent SpaceX Falcon 9 rocket launch.saved google search results at googleresults87.txt to retrieve if shutdown randomly.After searching for tips on crafting DALL-E prompts, I am now browsing a webpage that provides six tips for creating images with DALL-E. These insights will be used to generate an engaging image of the SpaceX Falcon 9 rocket launch for an Instagram post.saved the scraping of the website results at websiteresults88.txt to retrieve if shutdown randomly.Using detailed tips from a Kimp.io article, I crafted an intricate prompt for the DALL-E generated Instagram image post, focusing on the SpaceX Falcon 9 rocket launch. The next step is to complete the creation of the post.The command for making an Instagram post with a detailed visual prompt and text for the SpaceX Falcon 9 rocket launch event has been successfully executed. The post is anticipated to be compelling and well-suited for social media engagement. The task is now marked complete.After searching for DALL-E prompt creation tips, an Instagram post on the SpaceX Falcon 9 rocket launch is being made. The image prompt is designed to be dramatic and reflective of the event. No URLs or files were newly created or accessed since these details were stored in memory from previous actions. The headline text for the image ‘SpaceX Falcon 9 Soars Into Orbit’ is short to mimic news headline style.Created an Instagram post for the SpaceX Falcon 9 rocket launch with the headline ‘SpaceX Falcon 9 Soars Into Orbit’ and a dramatic visual prompt. The post is intended to be visually captivating and succinctly informative as per the task guidelines. The task is now complete.The latest bullet-point summary of the MIT research article on the development of Mini-GPTs via contextual pruning has been written into the file named ‘summary_marktechpost_article.txt’. The file will be read to provide the bullet points for this news.The bullet points of the news article about MIT researchers developing Mini-GPTs via contextual pruning have been provided. The file ‘summary_marktechpost_article.txt’ contains the original summary used to extract these bullet points. The task of presenting the news in bullet point format is now complete.
The Task: Send tme the bullet points
|
ac56410f7375d9f51132ce3adbbb1f7b
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
36,234
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: N/AIn case of a shutdown before I summarize the article, the next GPT instance should browse the URL to read the article on MIT researchers introducing a new machine learning approach for developing mini GPTs via contextual pruning.The GPT instance was tasked with summarizing an article regarding MIT researchers’ development of Mini-GPTs via contextual pruning. The content of the article is provided directly in the prompt, obviating the need to browse the website. No previous files or URLs from this session.A file named ‘summary_marktechpost_article.txt’ has been created containing bullet points summarizing the MIT researchers’ introduction of a novel machine learning approach for developing Mini-GPTs via contextual pruning as detailed in the provided content.In the process of confirming the details of the written summary in the file ‘summary_marktechpost_article.txt’ based on the content provided directly in the prompt. This step verifies the summary before presenting it as the completed task.File ‘summary_marktechpost_article.txt’ contains the summarized bullet points derived from the original article content. The summary has been sent to the user, completing the task of creating a summarized list of bullet points based on the provided content.The bullet-point summary of the MIT research article was created, saved into the file ‘summary_marktechpost_article.txt’, and delivered to the user. Following the successful transmission of this summary, the system is now executing the ‘task_complete’ command to signify the end of this task.Commencing the task of finding the latest technology breakthroughs from December 24th, 2023, by initiating a Google search. Next steps will involve sorting the information and crafting an Instagram post.saved google search results at googleresults84.txt to retrieve if shutdown randomly.After a Google search, I am about to browse the article on www.space.com detailing the SpaceX Falcon 9 rocket’s latest launch. This is to create a summary and eventually assess its popularity for Instagram engagement.saved the scraping of the website results at websiteresults85.txt to retrieve if shutdown randomly.The latest breakthrough about the SpaceX Falcon 9 rocket launch has been stored in memory under key ‘SpaceX_Launch_Info’. I need to continue to gather more breakthroughs from December 24th, 2023, before ranking and selecting the most suitable for an Instagram post.After storing the SpaceX Falcon 9 rocket launch information, I am now exploring a breakthrough battery technology announcement for further consideration in the Instagram content ranking task.saved the scraping of the website results at websiteresults86.txt to retrieve if shutdown randomly.Now have stored details about two significant breakthroughs: the launch of SpaceX Falcon 9 rocket and a major advancement in battery technology. Must continue searching for other breakthroughs before proceeding to rank them and create an Instagram post.So far, detailed information on a SpaceX launch and a battery technology breakthrough have been gathered and stored. Now proceeding to review Physics World’s top 10 breakthroughs of the year to find relevant content to include in the Instagram post task.I have collected significant breakthroughs from Physics World’s announcement. These will contribute to the compilation of the most popular and engaging technology news for Instagram post consideration. The summary of these breakthroughs has been saved with the key ‘PhysicsWorld_Breakthroughs’. The next step is to compile all collected data and rank these stories according to their anticipated popularity and engagement on Instagram.I am retrieving the stored memory for the SpaceX Falcon 9 rocket launch to begin comparing and ranking the technology breakthroughs gathered thus far. The retrieved information will be used alongside the details on the breakthrough battery technology and Physics World’s breakthroughs for the Instagram post task.The SpaceX launch information has been retrieved and noted. Now, I am retrieving the battery technology information to compare all breakthroughs and then rank them by anticipated Instagram popularity for the Instagram post task.The SpaceX Falcon 9 launch details and the battery technology advancement have been retrieved successfully. I’m now about to retrieve the Physics World’s top 10 breakthroughs to rank all information gathered and develop the Instagram post content.All relevant breakthrough information, including SpaceX rocket launch, battery technology, and Physics World’s top 10 breakthroughs, has been gathered. A thoughtful analysis will be conducted to rank these stories before preparing the Instagram post content. After ranking, the selected event will be summarized in bullet-point format with an engaging caption crafted and submitted as complete.Starting the creation process for the Instagram post by first searching for tips on how to effectively create DALL-E prompts. After acquiring the tips, I’ll generate an image for the post depicting the recent SpaceX Falcon 9 rocket launch.saved google search results at googleresults87.txt to retrieve if shutdown randomly.After searching for tips on crafting DALL-E prompts, I am now browsing a webpage that provides six tips for creating images with DALL-E. These insights will be used to generate an engaging image of the SpaceX Falcon 9 rocket launch for an Instagram post.saved the scraping of the website results at websiteresults88.txt to retrieve if shutdown randomly.Using detailed tips from a Kimp.io article, I crafted an intricate prompt for the DALL-E generated Instagram image post, focusing on the SpaceX Falcon 9 rocket launch. The next step is to complete the creation of the post.The command for making an Instagram post with a detailed visual prompt and text for the SpaceX Falcon 9 rocket launch event has been successfully executed. The post is anticipated to be compelling and well-suited for social media engagement. The task is now marked complete.After searching for DALL-E prompt creation tips, an Instagram post on the SpaceX Falcon 9 rocket launch is being made. The image prompt is designed to be dramatic and reflective of the event. No URLs or files were newly created or accessed since these details were stored in memory from previous actions. The headline text for the image ‘SpaceX Falcon 9 Soars Into Orbit’ is short to mimic news headline style.Created an Instagram post for the SpaceX Falcon 9 rocket launch with the headline ‘SpaceX Falcon 9 Soars Into Orbit’ and a dramatic visual prompt. The post is intended to be visually captivating and succinctly informative as per the task guidelines. The task is now complete.The latest bullet-point summary of the MIT research article on the development of Mini-GPTs via contextual pruning has been written into the file named ‘summary_marktechpost_article.txt’. The file will be read to provide the bullet points for this news.The bullet points of the news article about MIT researchers developing Mini-GPTs via contextual pruning have been provided. The file ‘summary_marktechpost_article.txt’ contains the original summary used to extract these bullet points. The task of presenting the news in bullet point format is now complete.Provided the bullet points from the ‘summary_marktechpost_article.txt’ file in response to the user’s task. If the operation is not completed due to a shutdown, the next GPT instance should use the ‘read_file’ command to access the bullet points in the file and send them to the user.Sent the bullet points to the user regarding the MIT research on developing Mini-GPTs through contextual pruning as per the user’s request. The bullet points were taken directly from the provided context. No new files or URLs are involved.Sent the bullet points to the user and completed the task as requested. Used the ‘task_complete’ command to signify the end of this session. No additional actions are pending.Read the file ‘summary_marktechpost_article.txt’ to provide the user with the bullet points for the news: ‘SpaceX Falcon 9 Soars Into Orbit’, and include the source where the information was initially found or stored. This is part of the task completion process.Appended the bullet points provided by the user to the existing file ‘summary_marktechpost_article.txt’, even though the content might actually be for a different article. If these bullets belong to a different summary, the next GPT instance should create a new file to distinguish between different topics.Read the file ‘summary_marktechpost_article.txt’ to gather and send the bullet points for the SpaceX Falcon 9 news to the user. If the content of the file does not match the task, consider creating a new file with the accurate summary for the user’s request.I communicated to the user that the bullet points provided were not related to the SpaceX Falcon 9 news, and instead pertain to MIT’s research. An interim set of bullet points was offered as a placeholder. I advised the user to provide the correct file or source for the accurate SpaceX news to deliver the proper bullet points.Sent a message to the user explaining the mix-up with the provided bullet points and completed the task. If the user supplies the correct information regarding the SpaceX Falcon 9 news, the next GPT instance should proceed with creating an accurate bullet point summary.
The Task: Search for the latest technology breakthroughs that were announced on December 24th, 2023. Arrange these stories in descending order of their anticipated popularity and engagement if posted on Instagram. Send me the sorted news highlights in bullet points.
|
ab1446b68e86dd0f7d7bb51e524c2063
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
36,235
|
Clonare un repository higgungface in google drive:
cartalla google drive https://drive.google.com/drive/u/2/shared-drives nome cartella Mistral_8x7b
repository git lfs install
git clone https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1
|
958ef6b89fc7815ce4d6ae34b20faf9b
|
{
"intermediate": 0.3797873854637146,
"beginner": 0.33456090092658997,
"expert": 0.28565168380737305
}
|
36,236
|
Тут в 209 строке произошла вот такая ошибка
SyntaxError: expected 'except' or 'finally' block
вот коd
"""Basic MUD server module for creating text-based Multi-User Dungeon
(MUD) games.
Contains one class, MudServer, which can be instantiated to start a
server running then used to send and receive messages from players.
author: Mark Frimston - mfrimston@gmail.com
"""
import socket
import select
import time
import sys
class MudServer(object):
"""A basic server for text-based Multi-User Dungeon (MUD) games.
Once created, the server will listen for players connecting using
Telnet. Messages can then be sent to and from multiple connected
players.
The 'update' method should be called in a loop to keep the server
running.
"""
# An inner class which is instantiated for each connected client to store
# info about them
class _Client(object):
"""Holds information about a connected player"""
# the socket object used to communicate with this client
socket = None
# the ip address of this client
address = ""
# holds data send from the client until a full message is received
buffer = ""
# the last time we checked if the client was still connected
lastcheck = 0
def __init__(self, socket, address, buffer, lastcheck):
self.socket = socket
self.address = address
self.buffer = buffer
self.lastcheck = lastcheck
# Used to store different types of occurences
_EVENT_NEW_PLAYER = 1
_EVENT_PLAYER_LEFT = 2
_EVENT_COMMAND = 3
# Different states we can be in while reading data from client
# See _process_sent_data function
_READ_STATE_NORMAL = 1
_READ_STATE_COMMAND = 2
_READ_STATE_SUBNEG = 3
# Command codes used by Telnet protocol
# See _process_sent_data function
_TN_INTERPRET_AS_COMMAND = 255
_TN_ARE_YOU_THERE = 246
_TN_WILL = 251
_TN_WONT = 252
_TN_DO = 253
_TN_DONT = 254
_TN_SUBNEGOTIATION_START = 250
_TN_SUBNEGOTIATION_END = 240
# socket used to listen for new clients
_listen_socket = None
# holds info on clients. Maps client id to _Client object
_clients = {}
# counter for assigning each client a new id
_nextid = 0
# list of occurences waiting to be handled by the code
_events = []
# list of newly-added occurences
_new_events = []
def __init__(self):
"""Constructs the MudServer object and starts listening for
new players.
"""
self._clients = {}
self._nextid = 0
self._events = []
self._new_events = []
# create a new tcp socket which will be used to listen for new clients
self._listen_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# set a special option on the socket which allows the port to be
# immediately without having to wait
self._listen_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR,
1)
# bind the socket to an ip address and port. Port 23 is the standard
# telnet port which telnet clients will use, however on some platforms
# this requires root permissions, so we use a higher arbitrary port
# number instead: 1234. Address 0.0.0.0 means that we will bind to all
# of the available network interfaces
self._listen_socket.bind(("0.0.0.0", 1234))
# set to non-blocking mode. This means that when we call 'accept', it
# will return immediately without waiting for a connection
self._listen_socket.setblocking(False)
# start listening for connections on the socket
self._listen_socket.listen(1)
def update(self):
"""Checks for new players, disconnected players, and new
messages sent from players. This method must be called before
up-to-date info can be obtained from the 'get_new_players',
'get_disconnected_players' and 'get_commands' methods.
It should be called in a loop to keep the game running.
"""
# check for new stuff
self._check_for_new_connections()
self._check_for_disconnected()
self._check_for_messages()
# move the new events into the main events list so that they can be
# obtained with 'get_new_players', 'get_disconnected_players' and
# 'get_commands'. The previous events are discarded
self._events = list(self._new_events)
self._new_events = []
def get_new_players(self):
"""Returns a list containing info on any new players that have
entered the game since the last call to 'update'. Each item in
the list is a player id number.
"""
retval = []
# go through all the events in the main list
for ev in self._events:
# if the event is a new player occurence, add the info to the list
if ev[0] == self._EVENT_NEW_PLAYER:
retval.append(ev[1])
# return the info list
return retval
def get_disconnected_players(self):
"""Returns a list containing info on any players that have left
the game since the last call to 'update'. Each item in the list
is a player id number.
"""
retval = []
# go through all the events in the main list
for ev in self._events:
# if the event is a player disconnect occurence, add the info to
# the list
if ev[0] == self._EVENT_PLAYER_LEFT:
retval.append(ev[1])
# return the info list
return retval
def get_commands(self):
"""Returns a list containing any commands sent from players
since the last call to 'update'. Each item in the list is a
3-tuple containing the id number of the sending player, a
string containing the command (i.e. the first word of what
they typed), and another string containing the text after the
command
"""
retval = []
# go through all the events in the main list
for ev in self._events:
# if the event is a command occurence, add the info to the list
if ev[0] == self._EVENT_COMMAND:
retval.append((ev[1], ev[2], ev[3]))
# return the info list
return retval
def send_message(self, to, message):
"""Sends the text in the 'message' parameter to the player with
the id number given in the 'to' parameter. The text will be
printed out in the player's terminal.
"""
# we make sure to put a newline on the end so the client receives the
# message on its own line
self._attempt_send(to, message+"\n\r")
def shutdown(self):
"""Closes down the server, disconnecting all clients and
closing the listen socket.
"""
# for each client
for cl in self._clients.values():
# close the socket, disconnecting the client
cl.socket.shutdown(socket.SHUT_RDWR)
cl.socket.close()
# stop listening for new clients
self._listen_socket.close()
def _attempt_send(self, clid, data):
# python 2/3 compatability fix - convert non-unicode string to unicode
if sys.version < '3' and type(data) != unicode:
data = unicode(data, "latin1")
try:
encoded_data = data.encode("utf-8")
# look up the client in the client map and use 'sendall' to send
# the message string on the socket. 'sendall' ensures that all of
# the data is sent in one go
self._clients[clid].socket.sendall(encoded_data)
# KeyError will be raised if there is no client with the given id in
# the map
except KeyError:
pass
# If there is a connection problem with the client (e.g. they have
# disconnected) a socket error will be raised
except socket.error:
self._handle_disconnect(clid)
def _check_for_new_connections(self):
# 'select' is used to check whether there is data waiting to be read
# from the socket. We pass in 3 lists of sockets, the first being those
# to check for readability. It returns 3 lists, the first being
# the sockets that are readable. The last parameter is how long to wait
# - we pass in 0 so that it returns immediately without waiting
rlist, wlist, xlist = select.select([self._listen_socket], [], [], 0)
# if the socket wasn't in the readable list, there's no data available,
# meaning no clients waiting to connect, and so we can exit the method
# here
if self._listen_socket not in rlist:
return
# 'accept' returns a new socket and address info which can be used to
# communicate with the new client
joined_socket, addr = self._listen_socket.accept()
# set non-blocking mode on the new socket. This means that 'send' and
# 'recv' will return immediately without waiting
joined_socket.setblocking(False)
# construct a new _Client object to hold info about the newly connected
# client. Use 'nextid' as the new client's id number
self._clients[self._nextid] = MudServer._Client(joined_socket, addr[0],
"", time.time())
# add a new player occurence to the new events list with the player's
# id number
self._new_events.append((self._EVENT_NEW_PLAYER, self._nextid))
# add 1 to 'nextid' so that the next client to connect will get a
# unique id number
self._nextid += 1
def _check_for_disconnected(self):
# go through all the clients
for id, cl in list(self._clients.items()):
# if we last checked the client less than 5 seconds ago, skip this
# client and move on to the next one
if time.time() - cl.lastcheck < 5.0:
continue
# send the client an invisible character. It doesn't actually
# matter what we send, we're really just checking that data can
# still be written to the socket. If it can't, an error will be
# raised and we'll know that the client has disconnected.
self._attempt_send(id, "\x00")
# update the last check time
cl.lastcheck = time.time()
def _check_for_messages(self):
# go through all the clients
for id, cl in list(self._clients.items()):
# we use 'select' to test whether there is data waiting to be read
# from the client socket. The function takes 3 lists of sockets,
# the first being those to test for readability. It returns 3 list
# of sockets, the first being those that are actually readable.
rlist, wlist, xlist = select.select([cl.socket], [], [], 0)
# if the client socket wasn't in the readable list, there is no
# new data from the client - we can skip it and move on to the next
# one
if cl.socket not in rlist:
continue
try:
# read data from the socket, using a max length of 4096
data = cl.socket.recv(4096).decode("utf-8")
# process the data, stripping out any special Telnet commands
message = self._process_sent_data(cl, data)
# if there was a message in the data
if message:
# remove any spaces, tabs etc from the start and end of
# the message
message = message.strip()
# separate the message into the command (the first word)
# and its parameters (the rest of the message)
command, params = (message.split(" ", 1) + ["", ""])[:2]
# add a command occurence to the new events list with the
# player's id number, the command and its parameters
self._new_events.append((self._EVENT_COMMAND, id,
command.lower(), params))
# if there is a problem reading from the socket (e.g. the client
# has disconnected) a socket error will be raised
except socket.error:
self._handle_disconnect(id)
def _handle_disconnect(self, clid):
# remove the client from the clients map
del(self._clients[clid])
# add a 'player left' occurence to the new events list, with the
# player's id number
self._new_events.append((self._EVENT_PLAYER_LEFT, clid))
def _process_sent_data(self, client, data):
# the Telnet protocol allows special command codes to be inserted into
# messages. For our very simple server we don't need to response to
# any of these codes, but we must at least detect and skip over them
# so that we don't interpret them as text data.
# More info on the Telnet protocol can be found here:
# http://pcmicro.com/netfoss/telnet.html
# start with no message and in the normal state
message = None
state = self._READ_STATE_NORMAL
# go through the data a character at a time
for c in data:
# handle the character differently depending on the state we're in:
# normal state
if state == self._READ_STATE_NORMAL:
# if we received the special 'interpret as command' code,
# switch to 'command' state so that we handle the next
# character as a command code and not as regular text data
if ord(c) == self._TN_INTERPRET_AS_COMMAND:
state = self._READ_STATE_COMMAND
# if we get a newline character, this is the end of the
# message. Set 'message' to the contents of the buffer and
# clear the buffer
elif c == "\n":
message = client.buffer
client.buffer = ""
# some telnet clients send the characters as soon as the user
# types them. So if we get a backspace character, this is where
# the user has deleted a character and we should delete the
# last character from the buffer.
elif c == "\x08":
client.buffer = client.buffer[:-1]
# otherwise it's just a regular character - add it to the
# buffer where we're building up the received message
else:
client.buffer += c
# command state
elif state == self._READ_STATE_COMMAND:
# the special 'start of subnegotiation' command code indicates
# that the following characters are a list of options until
# we're told otherwise. We switch into 'subnegotiation' state
# to handle this
if ord(c) == self._TN_SUBNEGOTIATION_START:
state = self._READ_STATE_SUBNEG
# if the command code is one of the 'will', 'wont', 'do' or
# 'dont' commands, the following character will be an option
# code so we must remain in the 'command' state
elif ord(c) in (self._TN_WILL, self._TN_WONT, self._TN_DO,
self._TN_DONT):
state = self._READ_STATE_COMMAND
# for all other command codes, there is no accompanying data so
# we can return to 'normal' state.
else:
state = self._READ_STATE_NORMAL
# subnegotiation state
elif state == self._READ_STATE_SUBNEG:
# if we reach an 'end of subnegotiation' command, this ends the
# list of options and we can return to 'normal' state.
# Otherwise we must remain in this state
if ord(c) == self._TN_SUBNEGOTIATION_END:
state = self._READ_STATE_NORMAL
# return the contents of 'message' which is either a string or None
return message
|
1dd508ef347f3f3cab69ea3b7e4de5ef
|
{
"intermediate": 0.2152993530035019,
"beginner": 0.6804495453834534,
"expert": 0.10425109416246414
}
|
36,237
|
Sure, here’s the full revised code:
import tkinter as tk
from tkinter import ttk, scrolledtext
from threading import Thread
from queue import Queue
import re
import socket
import netifaces
update_queue = Queue()
def extract_ips(bridge_data):
pattern = re.compile(r’(\d{1,3}(?:.\d{1,3}){3}:\d+)‘)
return pattern.findall(bridge_data)
def update_console():
while True:
message = update_queue.get()
if message is None:
break
console_display.configure(state=‘normal’)
console_display.insert(tk.END, message + “\n”)
console_display.configure(state=‘disabled’)
console_display.yview(tk.END)
update_queue.task_done()
def is_port_open(ip, port, timeout):
try:
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
sock.settimeout(timeout)
sock.connect((ip, port))
return True
except socket.error:
return False
def check_ip_port(ip, port, timeout):
if is_port_open(ip, port, timeout):
update_queue.put(f"Connection successful for {ip}:{port}“)
return True
else:
update_queue.put(f"Connection failed for {ip}:{port}”)
return False
def check_bridges():
raw_data = bridge_input.get(‘1.0’, tk.END)
ip_port_pairs = extract_ips(raw_data)
timeout = float(timeout_entry.get())
responsive_bridges = []
def process_ip_port(ip, port):
if check_ip_port(ip, port, timeout):
responsive_bridges.append(ip_port)
threads = [Thread(target=process_ip_port, args=(ip, int(port)))
for ip, port in (ip.split(’:‘) for ip in ip_port_pairs)]
for thread in threads:
thread.start()
for thread in threads:
thread.join()
responsive_data = ‘\n’.join([line for line in raw_data.split(’\n’)
if any(ip_port in line for ip_port in responsive_bridges)])
result_display.configure(state=‘normal’)
result_display.delete(‘1.0’, tk.END)
result_display.insert(tk.END, responsive_data)
result_display.configure(state=‘disabled’)
update_queue.put(None)
status_label.config(text=“Check completed”)
def copy_to_clipboard():
root.clipboard_clear()
try:
text_to_copy = result_display.get(tk.SEL_FIRST, tk.SEL_LAST)
root.clipboard_append(text_to_copy)
except tk.TclError:
pass
def get_network_interfaces():
return netifaces.interfaces()
def clear_console():
console_display.configure(state=‘normal’)
console_display.delete(‘1.0’, tk.END)
console_display.configure(state=‘disabled’)
root = tk.Tk()
root.title(“Tor Bridge Connectivity Checker”)
frame = ttk.Frame(root, padding=“3”)
frame.grid(column=0, row=0, sticky=(tk.W, tk.E, tk.N, tk.S))
frame.columnconfigure(0, weight=1)
interfaces = get_network_interfaces()
default_interface = interfaces[-1] if interfaces else None
net_interface_label = ttk.Label(frame, text=“Network Interface:”)
net_interface_label.grid(column=0, row=0, sticky=tk.W)
net_interface_selector = ttk.Combobox(frame, values=interfaces)
net_interface_selector.set(default_interface)
net_interface_selector.grid(column=1, row=0, sticky=(tk.W, tk.E), columnspan=3)
thread_count_label = ttk.Label(frame, text=“Thread Count:”)
thread_count_label.grid(column=4, row=0, sticky=tk.W, padx=(4, 0))
thread_count_entry = ttk.Spinbox(frame, from_=1, to=100, increment=1, width=7)
thread_count_entry.set(10)
thread_count_entry.grid(column=5, row=0)
timeout_label = ttk.Label(frame, text=“Timeout (s):”)
timeout_label.grid(column=6, row=0, sticky=tk.W, padx=(4, 0))
timeout_entry = ttk.Spinbox(frame, from_=1, to=10, increment=0.5, width=7, format=“%.1f”)
timeout_entry.set(3.0)
timeout_entry.grid(column=7, row=0)
bridge_label = ttk.Label(frame, text=“Bridges to Check:”)
bridge_label.grid(column=0, row=1, sticky=tk.W)
bridge_input = scrolledtext.ScrolledText(frame, height=10)
bridge_input.grid(column=0, row=2, columnspan=8, sticky=(tk.W, tk.E), pady=(0, 5))
paste_button = tk.Button(frame, text=“Paste”, command=lambda: bridge_input.insert(tk.END, root.clipboard_get()))
paste_button.grid(column=0, row=3, sticky=tk.W)
result_label = ttk.Label(frame, text=“Sorted List:”)
result_label.grid(column=0, row=4, sticky=tk.W)
result_display = scrolledtext.ScrolledText(frame, height=10, state=‘disabled’)
result_display.grid(column=0, row=5, columnspan=8, sticky=(tk.W, tk.E), pady=(0, 5))
select_all_button = tk.Button(frame, text=“Select All”, command=lambda: result_display.tag_add(tk.SEL, “1.0”, tk.END))
select_all_button.grid(column=0, row=6, sticky=tk.W)
copy_button = tk.Button(frame, text=“Copy”, command=copy_to_clipboard)
copy_button.grid(column=1, row=6, sticky=tk.W)
check_button = tk.Button(frame, text=“Check Bridges”, command=check_bridges)
check_button.grid(column=2, row=6, sticky=tk.W, pady=(0, 5))
console_label = ttk.Label(frame, text=“Console Log:”)
console_label.grid(column=0, row=7, sticky=tk.W)
console_display = scrolledtext.ScrolledText(frame, height=8, state=‘disabled’, background=‘black’, foreground=‘white’)
console_display.grid(column=0, row=9, columnspan=8, sticky=(tk.W, tk.E))
clear_console_button = tk.Button(frame, text=“Clear”, command=clear_console)
clear_console_button.grid(column=0, row=8, sticky=tk.W)
status_label = tk.Label(frame, bd=1, relief=tk.SUNKEN, anchor=tk.W)
status_label.config(text=“Ready”)
status_label.grid(column=0, row=10, columnspan=8, sticky=(tk.W, tk.E))
console_update_thread = Thread(target=update_console, daemon=True)
console_update_thread.start()
root.mainloop()
This code includes all necessary changes with clean formatting and no comments. It implements a thread-safe queue to manage messages to the console log, addresses the syntax errors in the button commands, and organizes thread usage for network checking operations with a Queue to signal termination of the console update loop.
now after “check completed” it don’t displays list of sorted-out bridges inside “sorted list” textarea. also, is there any way to increase font size to 18px for overall gui, and also make all elements act as in css “display:flex”, so on resize everything got perfectly realigned and stretched. output fully fixed code without comments and trash.
To resolve the issue with displaying sorted-out bridges and to apply styles for a better GUI alignment with increased font size, we can make several changes:
- Use the Tkinter font module to set a uniform font size across all widgets.
- Use columnconfigure and rowconfigure with weight options to make widgets expand proportionally when the window resizes.
- Since we removed the threaded update loop for the console, we’ll need to switch back to updating the console directly in the check function for instant updates.
Here’s the fully fixed code:
import tkinter as tk
from tkinter import ttk, scrolledtext, font
from threading import Thread
import re
import socket
import netifaces
def extract_ips(bridge_data):
pattern = re.compile(r’(\d{1,3}(?:.\d{1,3}){3}:\d+)‘)
return pattern.findall(bridge_data)
def update_console(message):
console_display.configure(state=‘normal’)
console_display.insert(tk.END, message + “\n”)
console_display.configure(state=‘disabled’)
console_display.yview(tk.END)
def is_port_open(ip, port, timeout):
try:
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
sock.settimeout(timeout)
sock.connect((ip, port))
return True
except socket.error:
return False
def check_ip_port(ip, port, timeout):
if is_port_open(ip, port, timeout):
update_console(f"Connection successful for {ip}:{port}“)
return True
else:
update_console(f"Connection failed for {ip}:{port}”)
return False
def check_bridges():
raw_data = bridge_input.get(‘1.0’, tk.END)
ip_port_pairs = extract_ips(raw_data)
timeout = float(timeout_entry.get())
responsive_bridges = []
for ip_port in ip_port_pairs:
ip, port = ip_port.split(’:‘)
if check_ip_port(ip, int(port), timeout):
responsive_bridges.append(ip_port)
responsive_data = ‘\n’.join([line for line in raw_data.split(’\n’)
if any(rb in line for rb in responsive_bridges)])
result_display.configure(state=‘normal’)
result_display.delete(‘1.0’, tk.END)
result_display.insert(tk.END, responsive_data)
result_display.configure(state=‘disabled’)
status_label.config(text=“Check completed”)
def copy_to_clipboard():
root.clipboard_clear()
try:
text_to_copy = result_display.get(tk.SEL_FIRST, tk.SEL_LAST)
root.clipboard_append(text_to_copy)
except tk.TclError:
pass
def get_network_interfaces():
return netifaces.interfaces()
def clear_console():
console_display.configure(state=‘normal’)
console_display.delete(‘1.0’, tk.END)
console_display.configure(state=‘disabled’)
root = tk.Tk()
root.title(“Tor Bridge Connectivity Checker”)
root.tk.call(‘tk’, ‘scaling’, 4.0)
default_font = font.nametofont(“TkDefaultFont”)
default_font.configure(size=18)
root.option_add(“*Font”, default_font)
frame = ttk.Frame(root, padding=“3”)
frame.grid(column=0, row=0, sticky=(tk.W, tk.E, tk.N, tk.S))
frame.columnconfigure(0, weight=1)
frame.rowconfigure(2, weight=1)
frame.rowconfigure(5, weight=1)
frame.rowconfigure(9, weight=1)
interfaces = get_network_interfaces()
default_interface = interfaces[-1] if interfaces else None
net_interface_label = ttk.Label(frame, text=“Network Interface:”)
net_interface_label.grid(column=0, row=0, sticky=tk.W)
net_interface_selector = ttk.Combobox(frame, values=interfaces)
net_interface_selector.set(default_interface)
net_interface_selector.grid(column=1, row=0, sticky=(tk.W, tk.E), columnspan=3)
frame.columnconfigure(1, weight=1)
thread_count_label = ttk.Label(frame, text=“Thread Count:”)
thread_count_label.grid(column=4, row=0, sticky=tk.W, padx=(4, 0))
thread_count_entry = ttk.Spinbox(frame, from_=1, to=100, increment=1, width=7)
thread_count_entry.set(10)
thread_count_entry.grid(column=5, row=0)
timeout_label = ttk.Label(frame, text=“Timeout (s):”)
timeout_label.grid(column=6, row=0, sticky=tk.W, padx=(4, 0))
timeout_entry = ttk.Spinbox(frame, from_=1, to=10, increment=0.5, width=7, format=“%.1f”)
timeout_entry.set(3.0)
timeout_entry.grid(column=7, row=0)
bridge_label = ttk.Label(frame, text=“Bridges to Check:”)
bridge_label.grid(column=0, row=1, sticky=tk.W)
bridge_input = scrolledtext.ScrolledText(frame, height=10)
bridge_input.grid(column=0, row=2, columnspan=8, sticky=(tk.W, tk.E, tk.N, tk.S), pady=(0, 5))
paste_button = tk.Button(frame, text=“Paste”, command=lambda: bridge_input.insert(tk.END, root.clipboard_get()))
paste_button.grid(column=0, row=3, sticky=tk.W)
result_label = ttk.Label(frame, text=“Sorted List:”)
result_label.grid(column=0, row=4, sticky=tk.W)
result_display = scrolledtext.ScrolledText(frame, height=10, state=‘disabled’)
result_display.grid(column=0, row=5, columnspan=8, sticky=(tk.W, tk.E, tk.N, tk.S), pady=(0, 5))
select_all_button = tk.Button(frame, text=“Select All”, command=lambda: result_display.tag_add(tk.SEL, “1.0”, tk.END))
select_all_button.grid(column=0, row=6, sticky=tk.W)
copy_button = tk.Button(frame, text=“Copy”, command=copy_to_clipboard)
copy_button.grid(column=1, row=6, sticky=tk.W)
check_button = tk.Button(frame, text=“Check Bridges”, command=check_bridges)
check_button.grid(column=2, row=6, sticky=tk.W, pady=(0, 5))
console_label = ttk.Label(frame, text=“Console Log:”)
console_label.grid(column=0, row=7, sticky=tk.W)
console_display = scrolledtext.ScrolledText(frame, height=8, state=‘disabled’, background=‘black’, foreground=‘white’)
console_display.grid(column=0, row=9, columnspan=8, sticky=(tk.W, tk.E, tk.N, tk.S))
clear_console_button = tk.Button(frame, text=“Clear”, command=clear_console)
clear_console_button.grid(column=0, row=8, sticky=tk.W)
status_label = tk.Label(frame, bd=1, relief=tk.SUNKEN, anchor=tk.W)
status_label.config(text=“Ready”)
status_label.grid(column=0, row=10, columnspan=8, sticky=(tk.W, tk.E))
root.mainloop()
This code includes changes that:
- Increase the default font size to 18 pixels for the entire GUI.
- Utilize grid layout management to make all elements flexibly align and stretch like CSS display:flex. When the window is resized, the widgets inside the frame will adjust accordingly.
- Correct the display issue of the sorted-out bridges by directly updating the console and result display without threads to ensure atomic execution and consistency.
Remember, the visual elements’ response to window resizing in Tkinter might not directly correspond to CSS flex styling. However, using columnconfigure and rowconfigure with appropriate weight values helps achieve flexible layouts in Tkinter.
ok it seem it work as intended, but I don’t see live console log output in real time checking, need fix that. also,can you align in one straight line buttons normally, as: bellow bridges to check textrea there will be two buttons “paste” and "check “bridges”. bellow “sorted list” textarea there will be 3 buttons “select all”, “copy”, and “reset”, in that order. replace “clear” button with “reset”, to simply reset program to initial state and clear everything and stop any operations as well. output fully fixed code without comments and trash.
|
f5066462dd12bd63dd5c366910e99edb
|
{
"intermediate": 0.2743678390979767,
"beginner": 0.5407036542892456,
"expert": 0.1849285215139389
}
|
36,238
|
Clonare un repository higgungface in google drive:
cartalla google drive https://drive.google.com/drive/u/2/shared-drives nome cartella Mistral_8x7b
repository git lfs install
git clone https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1 . Mi fornisci il codice completo con colab
|
eb28c9518a388c5cf07c6903fdfed318
|
{
"intermediate": 0.34157299995422363,
"beginner": 0.3072567284107208,
"expert": 0.35117027163505554
}
|
36,239
|
In excel when in a cell and you press enter, the selection drops to the next cell below.
If the next cell below has a selection change event, it is automatically triggered.
How can I prevent this automatic trigger of the selection event when the selection is moved to the cell below when pressing enter on the cell above.
|
d5a6a542ed26c982d583e0354a55a74b
|
{
"intermediate": 0.3888198435306549,
"beginner": 0.2531317174434662,
"expert": 0.3580484688282013
}
|
36,240
|
histogramma: now after “check completed” it don’t displays list of sorted-out bridges inside “sorted list” textarea. also, is there any way to increase font size to 18px for overall gui, and also make all elements act as in css “display:flex”, so on resize everything got perfectly realigned and stretched. output fully fixed code without comments and trash. “# … (the rest of the script remains mostly unchanged) …”. can you output full code without comments and trash?
any ideas?: “line 130
copy_button = tk.Button(frame, text=“Copy”, command=lambda: root.clipboard_clear(), root.clipboard_append(result_display.get(tk.SEL_FIRST, tk.SEL_LAST)))
^
SyntaxError: positional argument follows keyword argument”. yes, use thread-safe queues. try implement. don’t include any comments or trash in your full code outputs. “- The paste_button uses event_generate(‘<<Paste>>’) which may not work in some environments; instead, it could directly access the clipboard.”. yes, do it normally as you think is need to be done, from a super intelligent nlp mind of the world perspective. “- The select_all_button and copy_button use tag_add and clipboard_append which are not the typical way to implement ‘select all’ and ‘copy’ functionality in Tkinter.”. the purpose of this is to be able to selects all sorted out tor bridges after finish in that “sorted list”. “- Exception handling is not present for network operations, which could lead to unhandled exceptions if connectivity issues arise.”. don’t know how to implement it, but it probably should be included in some fashion. try auto-stop execution and drop an error in “console log” if something go very badly wrong. “- The script doesn’t specify a default network interface selection.”. let’s then select the last interface in the available list, not sure how else to handle this situation here. “- The responsiveness of the UI may suffer during the bridge checks due to multiple threads updating the GUI at the same time, even though update_console is using a lock.”. the purpose of multithreaded approach is to exponentially increase number of threads within limit if everything go stuck in a bottleneck, due to large list of bridges to check, for example. so, only one instance or thread should be used for one specific bridge ip to check. this is the hardest part here, to distribute threads accordingly through available list of bridges ips (even if there’s only one bridge ip to check in the list), need some specific logic here, but I think you cannot handle this. also, don’t include any comments or trash in your full code outputs. "Here’s the fully fixed code:
import tkinter as tk
from tkinter import ttk, scrolledtext, font
from threading import Thread
import re
import socket
import netifaces
def extract_ips(bridge_data):
pattern = re.compile(r’(\d{1,3}(?:.\d{1,3}){3}:\d+)‘)
return pattern.findall(bridge_data)
def update_console(message):
console_display.configure(state=‘normal’)
console_display.insert(tk.END, message + “\n”)
console_display.configure(state=‘disabled’)
console_display.yview(tk.END)
def is_port_open(ip, port, timeout):
try:
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
sock.settimeout(timeout)
sock.connect((ip, port))
return True
except socket.error:
return False
def check_ip_port(ip, port, timeout):
if is_port_open(ip, port, timeout):
update_console(f"Connection successful for {ip}:{port}“)
return True
else:
update_console(f"Connection failed for {ip}:{port}”)
return False
def check_bridges():
raw_data = bridge_input.get(‘1.0’, tk.END)
ip_port_pairs = extract_ips(raw_data)
timeout = float(timeout_entry.get())
responsive_bridges = []
for ip_port in ip_port_pairs:
ip, port = ip_port.split(’:‘)
if check_ip_port(ip, int(port), timeout):
responsive_bridges.append(ip_port)
responsive_data = ‘\n’.join([line for line in raw_data.split(’\n’)
if any(rb in line for rb in responsive_bridges)])
result_display.configure(state=‘normal’)
result_display.delete(‘1.0’, tk.END)
result_display.insert(tk.END, responsive_data)
result_display.configure(state=‘disabled’)
status_label.config(text=“Check completed”)
def copy_to_clipboard():
root.clipboard_clear()
try:
text_to_copy = result_display.get(tk.SEL_FIRST, tk.SEL_LAST)
root.clipboard_append(text_to_copy)
except tk.TclError:
pass
def get_network_interfaces():
return netifaces.interfaces()
def clear_console():
console_display.configure(state=‘normal’)
console_display.delete(‘1.0’, tk.END)
console_display.configure(state=‘disabled’)
root = tk.Tk()
root.title(“Tor Bridge Connectivity Checker”)
root.tk.call(‘tk’, ‘scaling’, 4.0)
default_font = font.nametofont(“TkDefaultFont”)
default_font.configure(size=18)
root.option_add(“*Font”, default_font)
frame = ttk.Frame(root, padding=“3”)
frame.grid(column=0, row=0, sticky=(tk.W, tk.E, tk.N, tk.S))
frame.columnconfigure(0, weight=1)
frame.rowconfigure(2, weight=1)
frame.rowconfigure(5, weight=1)
frame.rowconfigure(9, weight=1)
interfaces = get_network_interfaces()
default_interface = interfaces[-1] if interfaces else None
net_interface_label = ttk.Label(frame, text=“Network Interface:”)
net_interface_label.grid(column=0, row=0, sticky=tk.W)
net_interface_selector = ttk.Combobox(frame, values=interfaces)
net_interface_selector.set(default_interface)
net_interface_selector.grid(column=1, row=0, sticky=(tk.W, tk.E), columnspan=3)
frame.columnconfigure(1, weight=1)
thread_count_label = ttk.Label(frame, text=“Thread Count:”)
thread_count_label.grid(column=4, row=0, sticky=tk.W, padx=(4, 0))
thread_count_entry = ttk.Spinbox(frame, from_=1, to=100, increment=1, width=7)
thread_count_entry.set(10)
thread_count_entry.grid(column=5, row=0)
timeout_label = ttk.Label(frame, text=“Timeout (s):”)
timeout_label.grid(column=6, row=0, sticky=tk.W, padx=(4, 0))
timeout_entry = ttk.Spinbox(frame, from_=1, to=10, increment=0.5, width=7, format=“%.1f”)
timeout_entry.set(3.0)
timeout_entry.grid(column=7, row=0)
bridge_label = ttk.Label(frame, text=“Bridges to Check:”)
bridge_label.grid(column=0, row=1, sticky=tk.W)
bridge_input = scrolledtext.ScrolledText(frame, height=10)
bridge_input.grid(column=0, row=2, columnspan=8, sticky=(tk.W, tk.E, tk.N, tk.S), pady=(0, 5))
paste_button = tk.Button(frame, text=“Paste”, command=lambda: bridge_input.insert(tk.END, root.clipboard_get()))
paste_button.grid(column=0, row=3, sticky=tk.W)
result_label = ttk.Label(frame, text=“Sorted List:”)
result_label.grid(column=0, row=4, sticky=tk.W)
result_display = scrolledtext.ScrolledText(frame, height=10, state=‘disabled’)
result_display.grid(column=0, row=5, columnspan=8, sticky=(tk.W, tk.E, tk.N, tk.S), pady=(0, 5))
select_all_button = tk.Button(frame, text=“Select All”, command=lambda: result_display.tag_add(tk.SEL, “1.0”, tk.END))
select_all_button.grid(column=0, row=6, sticky=tk.W)
copy_button = tk.Button(frame, text=“Copy”, command=copy_to_clipboard)
copy_button.grid(column=1, row=6, sticky=tk.W)
check_button = tk.Button(frame, text=“Check Bridges”, command=check_bridges)
check_button.grid(column=2, row=6, sticky=tk.W, pady=(0, 5))
console_label = ttk.Label(frame, text=“Console Log:”)
console_label.grid(column=0, row=7, sticky=tk.W)
console_display = scrolledtext.ScrolledText(frame, height=8, state=‘disabled’, background=‘black’, foreground=‘white’)
console_display.grid(column=0, row=9, columnspan=8, sticky=(tk.W, tk.E, tk.N, tk.S))
clear_console_button = tk.Button(frame, text=“Clear”, command=clear_console)
clear_console_button.grid(column=0, row=8, sticky=tk.W)
status_label = tk.Label(frame, bd=1, relief=tk.SUNKEN, anchor=tk.W)
status_label.config(text=“Ready”)
status_label.grid(column=0, row=10, columnspan=8, sticky=(tk.W, tk.E))
root.mainloop()"
ok it seem it work as intended, but I don’t see live console log output in real time checking, need fix that. also,can you align in one straight line buttons normally, as: bellow bridges to check textrea there will be two buttons “paste” and "check “bridges”. bellow “sorted list” textarea there will be 3 buttons “select all”, “copy”, and “reset”, in that order. replace “clear” button with “reset”, to simply reset program to initial state and clear everything and stop any operations as well. output fully fixed code without comments and trash.
|
f0d7993a873b87c91e537e77fe242a29
|
{
"intermediate": 0.5482162833213806,
"beginner": 0.2980470657348633,
"expert": 0.15373669564723969
}
|
36,241
|
Review and scan line by line the code, looking for any trace of vulnerabilities and find the correct vulnerability that is exist in this contract with depth understanding in solidity and in finding vulnerability and then confirm the vulnerability with evidence and give the vulnerable part that cause the bug with explaining and then give high-quality bug report // SPDX-License-Identifier: MIT
pragma solidity 0.8.13;
import {CoreRef} from "@src/core/CoreRef.sol";
import {CoreRoles} from "@src/core/CoreRoles.sol";
import {SimplePSM} from "@src/loan/SimplePSM.sol";
import {GuildToken} from "@src/tokens/GuildToken.sol";
import {LendingTerm} from "@src/loan/LendingTerm.sol";
/// @notice Utils to offboard a LendingTerm.
/// This contract works somewhat similarly to a Veto governor: any GUILD holder can poll for the removal
/// of a lending term, and if enough GUILD holders vote for a removal poll, the term can be offboarded
/// without delay.
/// When a term is offboarded, no new loans can be issued, and GUILD holders cannot vote for the term anymore.
/// After a term is offboarded, all the loans have to be called, then the term can be cleaned up (roles).
contract LendingTermOffboarding is CoreRef {
/// @notice emitted when a user supports the removal of a lending term
event OffboardSupport(
uint256 indexed timestamp,
address indexed term,
uint256 indexed snapshotBlock,
address user,
uint256 userWeight
);
/// @notice emitted when a lending term is offboarded
event Offboard(uint256 indexed timestamp, address indexed term);
/// @notice emitted when a lending term is cleaned up
event Cleanup(uint256 indexed timestamp, address indexed term);
/// @notice Emitted when quorum is updated.
event QuorumUpdated(uint256 oldQuorum, uint256 newQuorum);
/// @notice maximum age of polls for them to be considered valid.
/// This offboarding mechanism is meant to be used in a reactive fashion, and
/// polls should not stay open for a long time.
uint256 public constant POLL_DURATION_BLOCKS = 46523; // ~7 days @ 13s/block
/// @notice quorum for offboarding a lending term
uint256 public quorum;
/// @notice reference to the GUILD token
address public immutable guildToken;
/// @notice reference to the PSM
address public immutable psm;
/// @notice list of removal polls created.
/// keys = [snapshotBlock][termAddress] -> quorum supporting the removal.
mapping(uint256 => mapping(address => uint256)) public polls;
/// @notice list of user votes in removal polls
/// keys = [userAddress][snapshotBlock][termAddress] -> user vote weight.
mapping(address => mapping(uint256 => mapping(address => uint256)))
public userPollVotes;
/// @notice block number of last removal polls created for each term.
/// key = [termAddress] -> block number.
mapping(address => uint256) public lastPollBlock;
/// @notice mapping of terms that can be offboarded.
mapping(address => bool) public canOffboard;
/// @notice number of offboardings in progress.
uint256 public nOffboardingsInProgress;
constructor(
address _core,
address _guildToken,
address _psm,
uint256 _quorum
) CoreRef(_core) {
guildToken = _guildToken;
psm = _psm;
quorum = _quorum;
}
/// @notice set the quorum for offboard votes
function setQuorum(
uint256 _quorum
) external onlyCoreRole(CoreRoles.GOVERNOR) {
emit QuorumUpdated(quorum, _quorum);
quorum = _quorum;
}
/// @notice Propose to offboard a given LendingTerm.
/// @dev the poll starts with 1 wei of voting power, to initialize the storage slot
/// that counts the number of user supports (a value of 0 is used as the existence
/// check to know if a poll has been created).
function proposeOffboard(address term) external whenNotPaused {
require(
polls[block.number][term] == 0,
"LendingTermOffboarding: poll exists"
);
require(
block.number > lastPollBlock[term] + POLL_DURATION_BLOCKS,
"LendingTermOffboarding: poll active"
);
// Check that the term is an active gauge
require(
GuildToken(guildToken).isGauge(term),
"LendingTermOffboarding: not an active term"
);
polls[block.number][term] = 1; // voting power
lastPollBlock[term] = block.number;
emit OffboardSupport(
block.timestamp,
term,
block.number,
address(0),
1
);
}
/// @notice Support a poll to offboard a given LendingTerm.
function supportOffboard(
uint256 snapshotBlock,
address term
) external whenNotPaused {
require(
block.number <= snapshotBlock + POLL_DURATION_BLOCKS,
"LendingTermOffboarding: poll expired"
);
uint256 _weight = polls[snapshotBlock][term];
require(_weight != 0, "LendingTermOffboarding: poll not found");
uint256 userWeight = GuildToken(guildToken).getPastVotes(
msg.sender,
snapshotBlock
);
require(userWeight != 0, "LendingTermOffboarding: zero weight");
require(
userPollVotes[msg.sender][snapshotBlock][term] == 0,
"LendingTermOffboarding: already voted"
);
userPollVotes[msg.sender][snapshotBlock][term] = userWeight;
polls[snapshotBlock][term] = _weight + userWeight;
if (_weight + userWeight >= quorum) {
canOffboard[term] = true;
}
emit OffboardSupport(
block.timestamp,
term,
snapshotBlock,
msg.sender,
userWeight
);
}
/// @notice Offboard a LendingTerm.
/// This will prevent new loans from being open, and will prevent GUILD holders to vote for the term.
/// @param term LendingTerm to offboard from the system.
function offboard(address term) external whenNotPaused {
require(canOffboard[term], "LendingTermOffboarding: quorum not met");
// update protocol config
// this will revert if the term has already been offboarded
// through another mean.
GuildToken(guildToken).removeGauge(term);
// pause psm redemptions
if (
nOffboardingsInProgress++ == 0 &&
!SimplePSM(psm).redemptionsPaused()
) {
SimplePSM(psm).setRedemptionsPaused(true);
}
emit Offboard(block.timestamp, term);
}
/// @notice Cleanup roles of a LendingTerm.
/// This is only callable after a term has been offboarded and all its loans have been closed.
/// @param term LendingTerm to cleanup.
function cleanup(address term) external whenNotPaused {
require(canOffboard[term], "LendingTermOffboarding: quorum not met");
require(
LendingTerm(term).issuance() == 0,
"LendingTermOffboarding: not all loans closed"
);
require(
GuildToken(guildToken).isDeprecatedGauge(term),
"LendingTermOffboarding: re-onboarded"
);
// update protocol config
core().revokeRole(CoreRoles.RATE_LIMITED_CREDIT_MINTER, term);
core().revokeRole(CoreRoles.GAUGE_PNL_NOTIFIER, term);
// unpause psm redemptions
if (
--nOffboardingsInProgress == 0 && SimplePSM(psm).redemptionsPaused()
) {
SimplePSM(psm).setRedemptionsPaused(false);
}
canOffboard[term] = false;
emit Cleanup(block.timestamp, term);
}
}
|
124d3974d8e28500594e0ed640acfe6b
|
{
"intermediate": 0.48203030228614807,
"beginner": 0.26878687739372253,
"expert": 0.2491827756166458
}
|
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