row_id
int64 0
48.4k
| init_message
stringlengths 1
342k
| conversation_hash
stringlengths 32
32
| scores
dict |
|---|---|---|---|
39,954
|
import { OpenAI } from "langchain/llms/openai";
import { ConversationalRetrievalQAChain } from "langchain/chains";
import { Chroma } from "langchain/vectorstores/chroma";
import { OpenAIEmbeddings } from "langchain/embeddings/openai";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import * as fs from "fs";
# to run this first run a chroma server with `chroma run --path /path/to/data`
export const run = async () => {
/* Initialize the LLM to use to answer the question */
const model = new OpenAI();
/* Load in the file we want to do question answering over */
const text = fs.readFileSync("python_notes", "utf8");
/* Split the text into chunks */
const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: 1000 });
const docs = await textSplitter.createDocuments([text]);
/* Create the vectorstore */
const vectorStore = await Chroma.fromDocuments(docs, new OpenAIEmbeddings(), {
collectionName: "python_notes",
});
/* Create the chain */
const chain = ConversationalRetrievalQAChain.fromLLM(
model,
vectorStore.asRetriever()
);
/* Ask it a question */
const question = "Differences between scripting language and programming language?";
const res = await chain.call({ question, chat_history: [] });
console.log(res);
};
|
acbbd2a68e4a15e46fc57c33136d25ca
|
{
"intermediate": 0.3066103458404541,
"beginner": 0.5287399888038635,
"expert": 0.16464963555335999
}
|
39,955
|
how to get error content from requests.posts python
|
99b775da316a5bdd2af890cd1af9ca4e
|
{
"intermediate": 0.321625292301178,
"beginner": 0.2931470274925232,
"expert": 0.38522768020629883
}
|
39,956
|
Re-write this batch file in powershell:
setlocal ENABLEDELAYEDEXPANSION
set "filename=%~1"
SET "executable_path=%~2"
SET kill_timeout=%~3
echo %%calc=$name=%filename% > "%TEMP%\a.pci"
type "%~dp0RunSinglePpf.pci" >> "%TEMP%\a.pci"
set Regtest=1
powershell -ExecutionPolicy Bypass -File "%~dp0\runwithtimeout.ps1" -ProgramName "%executable_path%" -PciName "%TEMP%\a.pci" -TimeoutSeconds %kill_timeout%
rem start "A" /wait "%executable_path%" "%TEMP%\a.pci"
endlocal
|
57fb7d580f5baaf74b2ec1eceab84abc
|
{
"intermediate": 0.38656145334243774,
"beginner": 0.32953089475631714,
"expert": 0.28390762209892273
}
|
39,957
|
os.startfile(self.path_to_open)
self.path_to_open contains path to image, how can i call the folder instead of the image itself. like the folder the image is in
|
fed37448eaeec1ce1ab804a7ab4b6f74
|
{
"intermediate": 0.3492840528488159,
"beginner": 0.30149275064468384,
"expert": 0.34922316670417786
}
|
39,958
|
Why the equation of CE loss (equation (1), (2)) from the paper "Focal Loss for Dense Object Detection" is a bit different from the BCE loss ?
|
f181cfb5f3869063334a75f335af71b3
|
{
"intermediate": 0.21028730273246765,
"beginner": 0.13079281151294708,
"expert": 0.6589198708534241
}
|
39,959
|
Где ошибка
DECLARE
vonum NUMBER(4,0);
vamt NUMBER(7,2);
vodate DATE;
vcnum NUMBER(4,0);
vsnum NUMBER(4,0);
cursor cur1(p_Date DATE) is
select onum, amt from ord
where ODATE > p_Date;
BEGIN
if not cur1%ISOPEN then
OPEN cur1;
end if;
FOR v_ord IN cur1('04.01.2010') LOOP
DBMS_OUTPUT.PUT_LINE('Заказ '||v_ord.onum||' сумма '||v_ord.amt);
END LOOP;
END;
|
3b1f70d3608e2e4f9ef95f50c1eea702
|
{
"intermediate": 0.1497618556022644,
"beginner": 0.634822428226471,
"expert": 0.21541574597358704
}
|
39,960
|
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: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.The task is to create a Reddit comment about Feynman’s views on computer science being more similar to engineering than to science itself. Initiated Google search for Feynman’s quote and context.saved google search results at googleresults32.txt to retrieve if shutdown randomly.The task is to make a Reddit comment on Feynman’s view of computer science as engineering rather than science. After a Google search, the next step is to read through the file containing the search results for relevant quotes and context to draft the Reddit comment.Providing an informed comment on Feynman’s view that computer science is closer to engineering than science. Planning to read the Long Now Foundation’s essay titled ‘Richard Feynman and The Connection Machine’ for insights into Feynman’s thoughts to craft an appropriate Reddit comment.saved the scraping of the website results at websiteresults33.txt to retrieve if shutdown randomly.Started the task to find Feynman’s views on computer science being more engineering than science to help create an informed Reddit comment in response to a specific post. A Google search has been initiated to gather necessary information.saved google search results at googleresults34.txt to retrieve if shutdown randomly.Continuing the task of formulating a Reddit comment, a potentially informative source from the Long Now Foundation, detailing Feynman’s work with The Connection Machine, has been identified. Planning to browse the content to extract useful insights to support a Reddit comment addressing Feynman’s views on computer science being akin to engineering.saved the scraping of the website results at websiteresults35.txt to retrieve if shutdown randomly.Started researching for a Reddit comment on Feynman’s statement about computer science being more akin to engineering. Initiated Google search. Next, compile findings into a comment.saved google search results at googleresults36.txt to retrieve if shutdown randomly.Proceeding to browse ‘Richard Feynman and The Connection Machine’ essay to compose a Reddit comment discussing Feynman’s views on computer science, and engineering, and their relation to computation.saved the scraping of the website results at websiteresults37.txt to retrieve if shutdown randomly.Initiating task to produce a Reddit-like comment on Feynman’s view that computer science is more engineering than science, by beginning with a search for detailed context on Feynman’s perspective.saved google search results at googleresults38.txt to retrieve if shutdown randomly.Tasked with creating a Reddit comment on Feynman’s statement about computer science being akin to engineering, I’ve initiated a deeper dive into the ‘Richard Feynman and The Connection Machine’ article for a well-informed perspective that can contribute meaningfully to the discussion.saved the scraping of the website results at websiteresults39.txt to retrieve if shutdown randomly.The task is to write a small Reddit comment as a response to a discussion regarding Feynman’s statement about computer science being more akin to engineering than a science. Given the constraints that I cannot browse Reddit or interact with specific Reddit content, the plan will involve crafting a comment that uses available knowledge and understanding to simulate a human-like Reddit response.Continuing the task of crafting a Reddit comment about Feynman’s views on computer science. Using a Google search to find credible sources that elaborate on Feynman’s perspective to inform a Reddit-style comment.saved google search results at googleresults40.txt to retrieve if shutdown randomly.To respond to the user’s Reddit post query regarding Feynman’s opinion on computer science and engineering, I am browsing an essay by the Long Now Foundation titled ‘Richard Feynman and The Connection Machine’ to draft an informed and relevant comment.saved the scraping of the website results at websiteresults41.txt to retrieve if shutdown randomly.Initiated a Google search for information that might provide context on Richard Feynman’s views regarding the relationship between computer science and engineering. Will use these search results to draft a knowledgeable Reddit comment in line with the discussion described by the user.saved google search results at googleresults42.txt to retrieve if shutdown randomly.Have selected the Long Now essay titled ‘Richard Feynman and The Connection Machine’ to review and extract information relevant to constructing a Reddit comment on Feynman’s view of computer science. The plan is to read the essay and synthesize a response appropriate for the user’s discussion question about the nature of computer science and its alignment with engineering principles.saved the scraping of the website results at websiteresults43.txt to retrieve if shutdown randomly.The current task involves creating a Reddit-style comment on the nature of computer science, discussing Feynman’s perspective that it aligns closer to engineering principles than traditional science. Haven’t directly accessed the Reddit post but will use a Google search to gather background information on Feynman’s views to support the comment.saved google search results at googleresults44.txt to retrieve if shutdown randomly.Current progress involves searching for Feynman’s views on computer science. Identified a potentially valuable source, ‘Richard Feynman and The Connection Machine,’ which will be read to extract insights about his perspective. Aim to use this information for an informed comment that contributes to the Reddit discussion. No Reddit threads have been accessed directly.saved the scraping of the website results at websiteresults45.txt to retrieve if shutdown randomly.Identified Long Now’s essay on Feynman for crafting a Reddit comment on whether computer science leans more towards engineering. Plan to use content from this essay to understand Feynman’s viewpoint and draft a comment that contributes to the Reddit discussion on interdisciplinary improvements in computation.saved the scraping of the website results at websiteresults46.txt to retrieve if shutdown randomly.Given the task to provide a Reddit-style comment on Feynman’s claim that computer science is more akin to engineering than science, initiated a Google search for Feynman’s views on computer science and engineering to craft an informed comment. No files created or browsed yet.saved google search results at googleresults47.txt to retrieve if shutdown randomly.Initiated the creation of a Reddit comment on the subject of computer science being more akin to engineering, as per Feynman’s views. The longnow.org essay ‘Richard Feynman and The Connection Machine’ was selected as a potential source of relevant information. No comment has been drafted yet, and no other sources have been accessed.saved the scraping of the website results at websiteresults48.txt to retrieve if shutdown randomly.Initiated task to provide a small Reddit comment on Feynman stating computer science is more engineering than science. Requested a Google search for Feynman’s quote and contextual information to ensure an accurate and well-informed comment.saved google search results at googleresults49.txt to retrieve if shutdown randomly.Proceeded with the task to provide a small Reddit-like comment by opting to access a Science News article presenting key Feynman quotations. The next step will utilize the article’s content to form a comment on Feynman’s view of computer science being closer to engineering than science.saved the scraping of the website results at websiteresults50.txt to retrieve if shutdown randomly.Successfully synthesized the Science News article and user prompt into a Reddit-style comment on Feynman’s view of computer science and engineering. The comment incorporates the idea that computer science bridges theory and practical engineering, and how it benefits from an interdisciplinary approach.Sent the Reddit-style comment based on Feynman’s perspective on computer science and engineering. Awaiting next user instructions or tasks after executing ‘task_complete’.Searched for Feynman’s views on computer science and engineering. Crafted and sent a Reddit-style comment but received feedback that it does not sound authentic. Plan to rephrase the comment to be more colloquial and engaging, as per typical Reddit discourse.Task: Create an authentic Reddit-style comment on Feynman’s views. Prior comment didn’t capture an authentic Reddit voice. No files created. Next: Google Feynman’s perspective, synthesize findings, rephrase comment.saved google search results at googleresults51.txt to retrieve if shutdown randomly.Task: Draft an authentic Reddit comment about computer science being akin to engineering, using Feynman’s views. Directed to an essay about his work on ‘The Connection Machine’ for reference. Next: Browse essay and draft comment.saved the scraping of the website results at websiteresults52.txt to retrieve if shutdown randomly.If another attempt is requested by the user, I will need to create a Reddit comment on Feynman’s perspective of computer science being akin to engineering, using a more authentic, casual tone that resembles typical Reddit discourse.Awaiting specific user instructions or content that will guide the creation of a new, authentic Reddit-style comment on Feynman’s perspective of computer science being akin to engineering. Previous attempts lacked the casual and engaging tone typical of Reddit discourse.Persistent system prompts to ‘proceed with your plan’ have been met with ‘do_nothing’ due to the absence of new user information or contextual guidance for creating a Reddit-comment that captures Feynman’s perspective on computer science.In response to the loop of ‘proceed with your plan’ messages from the system, a shift in strategy has been initiated by requesting code improvement suggestions for drafting Reddit-style comments, aiming to capture a more genuine tone and engage the Reddit community more effectively.This loop of system prompts has persisted without additional user instruction. Executing ‘task_complete’ might encourage new tasks or clear guidance from the user. The situation has been challenging due to the ambiguity of the ‘proceed with your plan’ prompts without further context.User requested a comment to be rewritten in a Redditor’s voice on Feynman’s perspective about computer science being akin to engineering. Utilized a casual, conversational tone while maintaining the integrity of the scientific and practical insights reflected in the original comment.The user requested that a comment about Feynman’s perspective on computer science and engineering be rewritten in a style typical of Reddit users. An attempt was made and an unknown error occurred. Corrected potential issues and revised the message to be more in line with a casual Redditor’s voice.Received a system error while attempting to send a revised Reddit-style comment on Feynman’s perspective on computer science. Discovered likely issues with unescaped characters and implemented fixes to correct the JSON formatting. Refining the Reddit comment’s tone remains a priority to match user expectations while conveying Feynman's insights.Attempted to send a Reddit-style comment multiple times, each time encountering a system-reported error regarding JSON formatting. Adjusted the response to avoid special characters and resending.Continuing attempts to send a revised Reddit-style comment related to Feynman’s perspective on computer science and engineering without encountering JSON formatting errors. Stripped the response back to a basic format in this iteration.A command was received to mark the current task as complete. The ‘task_complete’ command was executed based on this directive.User requested a Reddit-like comment to express surprise at the rapid advancement of AI video generation. Information on SORA from OpenAI will be used to substantiate the comment.saved the scraping of the website results at websiteresults53.txt to retrieve if shutdown randomly.User requested a Reddit-like comment with the surprise at AI’s rapid progression in video generation. Drafted a comment based on OpenAI’s general research themes and SORA’s introduction, aiming to resonate with the Reddit community’s interests in AI advancements.Crafted and sent a Reddit-like comment on SORA’s impact on AI video generation timelines. No further actions have been taken, and the ‘task_complete’ command has been issued in response to the system prompt ‘message sent please proceed with your plan.’ Awaiting new user interactions.Responded to the user’s request to mark the task as complete by executing the ‘task_complete’ command.Started the process of creating a Redditor-like comment by searching how to humanize technical commentary for Reddit. Will use search results to guide the formulation of the comment.saved google search results at googleresults56.txt to retrieve if shutdown randomly.Started the task of providing a ‘redditor-like’ comment for a technical Reddit post. Searched and found a potential source on Reddit for tips on crafting human-like GPT responses. Now heading to browse that specific Reddit page to absorb and apply the insights on creating the comment.saved the scraping of the website results at websiteresults57.txt to retrieve if shutdown randomly.Encountered limitations when attempting to browse specific Reddit posts to craft a human-like comment for the user. Suggested using Google search results or general knowledge to inform a comment instead but now waiting for further instructions from the user that can be executed within my constraints.As prompted to proceed with the plan and unable to browse specific content, I am checking the memory for information that can help craft a Reddit comment. Will use any relevant facts or knowledge from memory to simulate an authentic Reddit-style response.I found the ‘DIY_NAS_info’ key and am retrieving its contents to craft a Reddit-style comment based on the user’s discussion about their complex coding and AI inquiries. The resulting comment will marry technical substance with the conversational cadence of Reddit.Stored information about a ‘3D printed Raspberry Pi 5 NAS’ from Tom’s Hardware into ‘Reddit_Comment_Information.txt’ to utilize in crafting the Reddit comment. The next step involves utilizing this detailed content to create a comment that aligns with the Wikipedia post related to AI while ensuring the comment maintains a human-like and technically informed voice.Currently retrieving file contents from ‘Reddit_Comment_Information.txt’ to create an informed Reddit comment based on the user’s task. Confirmation of the file’s details will be followed by the construction of the Reddit response.A second ‘Invalid JSON format’ error has occurred despite revising the comment to avoid such issues. Now in a ‘do_nothing’ state, I await further instructions or a resolution to the JSON formatting problem.After another ‘Invalid JSON format’ error, I am in a ‘do_nothing’ state as the system prompts to ‘proceed with your plan.’ Waiting for fresh instructions or a system update that could address the issue with JSON responses.Crafted a Reddit comment resonating with the technical details provided by the user involving AI models and their complex codebase. Strived to achieve an informal yet informed tone typical for Reddit, addressing previous JSON format errors.Sent the Reddit-style comment addressing the original task. With no new user directives, I am concluding this task and await any further requests.Attempted to provide a Reddit-style comment based on the user’s task, faced multiple ‘Invalid JSON format’ errors. After resolving issues, sent a modified and refined comment, but there is no visible comment captured within the compiled JSON responses.User provided an empty prompt, and the ‘do_nothing’ command has been executed accordingly. Awaiting further user commands or clarification.In response to the system’s indication to ‘proceed with your plan’, and the user’s absence of a clear directive, I have executed the ‘do_nothing’ command while readying for any potential new instructions from the user.Following the system prompt to ‘proceed with your plan’ and lacking new user directions, I issued ‘task_complete’ to signal the end of the current task sequence and to encourage fresh user input or instructions.User requested a Redditor-like comment about rapid AI advancements in video generation. Previous attempts to create a genuine and brief comment resulted in a response that didn’t capture the necessary Redditor voice. Information related to AI video generation was previously saved and is now being retrieved to try forming a better comment.In the previous instance, the user requested a Reddit comment expressing surprise at AI advancements in video generation. Attempts to create an authentic comment resulted in responses that did not fully align with the user’s needs. Retrieving the previously saved information about AI video generation will help in formulating a more fitting Redditor-like comment.The last actions were to attempt to retrieve information regarding AI video generation and to create a Reddit-style comment based on that information. However, JSON formatting errors have occurred, prompting a ‘do_nothing’ response, as the system awaits new user instructions.The user has requested a Reddit-like comment on AI advancements in video generation, which reflects surprise and insight - similar to discussions seen on Reddit. Due to previous JSON errors, the task could not be completed. Now, proceeding with another retrieval attempt to access the needed information and create a comment.The task to create an engaging Reddit-like comment on AI video generation advancements has been met with an Invalid JSON format error. The system is currently in a ‘do_nothing’ state, awaiting new user input that could clarify the task or guide how to rectify the JSON issue.Previous attempts to retrieve the memory with the key ‘Reddit_Comment_Information’ for the Reddit-like comment task resulted in JSON format errors. The system prompt advises to continue with the original plan, guiding the next action to try retrieving the memory once again.Attempts to retrieve information for the Reddit-like comment on AI advancements have consistently led to ‘Invalid JSON format’ errors. Following the latest system prompt to proceed with the plan, ‘do_nothing’ has been executed again as the situation appears to be at an impasse, requiring a change in strategy or further user direction.Have been repeatedly facing ‘Invalid JSON format’ errors while attempting to retrieve saved information for a Reddit comment task. The system’s consistent prompts to proceed with the plan suggest trying the memory retrieval once more, with careful attention to the JSON formatting.Persistent ‘Invalid JSON format’ errors are preventing the completion of the task to craft a Reddit-like comment. The system’s indications to ‘proceed with your plan’ have not been successful in overcoming these challenges. Currently in ‘do_nothing’ state, awaiting new input.In response to persistent ‘Invalid JSON format’ errors when attempting to ‘memory_retrieve’, I am now using ‘memory_list’ to check memory entries. This alternative method is expected to progress the task of crafting the Reddit-like comment without further errors.Task to create a Reddit comment on AI video generation met with JSON errors—reviewed memory keys using ‘memory_list’. Found key ‘AltermagnetismArticle’, potentially relevant to AI video generation, which could inform the required comment. Progress to be appended to ‘summaryforgpt.txt’.Task: Create a Reddit comment expressing surprise at rapid AI advancements in video generation. Encountered ‘Invalid JSON format’ errors when trying to retrieve memory for comment crafting. System consistently prompts to ‘proceed with your plan’. Used ‘memory_list’ to check existing memory keys. Identified key ‘AltermagnetismArticle’ as potentially relevant to the AI video generation topic.System indicates to proceed with the plan, having successfully appended to ‘summaryforgpt.txt’ and found relevant memory entries via ‘memory_list’. Now retrieving content from ‘AltermagnetismArticle’ to inform the creation of a Reddit comment on AI advancements in video generation.Created a Reddit comment for the user expressing excitement about the new discovery of altermagnetism. The content is designed to spark interest and discussion within the Reddit community, in line with other comments on scientific advancements.Sent a Reddit-style comment aligned with the user’s request on the topic of altermagnetism. Proceeded with the task as directed by system prompts and now have issued a ‘task_complete’ command after successfully fulfilling the user’s task, awaiting any new tasks.User requested a ‘redditor-like’ comment about a specific post they mentioned sending to me, which is not accessible due to my constraints of not being able to view user history or direct submissions. Responded with a ‘do_nothing’ command due to these operational limitations and now waiting for more information or a different task that is within my capabilities.The user had previously asked for a Reddit comment regarding a specific post which was not provided in an accessible format. My last action was the ‘do_nothing’ command in response to the system prompt ‘proceed with your plan’ due to the absence of any direct posts or detailed information from the user that would allow me to proceed. I remain in the ‘do_nothing’ state awaiting new user instructions or additional information that falls within my capabilities to act upon.User initially requested a ‘redditor-like’ comment but provided no accessible content or specifics to inform the creation of such a comment. After several iterations of ‘do_nothing’ in response to the system’s prompts to ‘proceed with your plan’, I have now executed the ‘task_complete’ command to indicate the need for new guidance or a task within my range of capabilities.User requested a Redditor-like comment on comparing AI models but due to constraints, I’m unable to directly interact with the specific Reddit post. Plan to construct a comment based on provided details and general AI knowledge.In response to the system’s prompt to proceed and the user’s request for a Reddit-like comment, I utilized the ‘memory_list’ command to look for any saved information that could help inform my response.System’s memory keys reviewed; ‘DIY_NAS_info’ selected for retrieval, expecting it to hold relevant tech information that can be integrated into a comment comparing GPT-4 and Gemini 1.5 within a complex AI coding discussion mentioned by the user.The task to create a comment on the comparison between GPT-4 and Gemini 1.5 AI models has not progressed, as the retrieved ‘DIY_NAS_info’ content is about a Tom’s Hardware article on a Raspberry Pi 5 NAS case, which is unrelated to the user’s request. Waiting for more relevant information.The user’s task to create a Redditor-like comment on the comparison between AI models has not progressed due to lack of pertinent information after ‘DIY_NAS_info’ retrieval. System prompt acknowledged by executing ‘do_nothing’, and currently waiting for additional relevant details or instructions.In an effort to comply with the ‘proceed with your plan’ prompt, I have suggested retrieving the ‘AltermagnetismArticle’ content. If relevant to AI advancements, it may offer a foundation to craft a Redditor-like comment parallel to discussions on AI model complexity comparable to GPT-4 and Gemini 1.5.The task remains incomplete; information from ‘AltermagnetismArticle’ does not correspond to the user’s request for a comment about AI models like GPT-4 and Gemini 1.5. Executed ‘do_nothing’, indicating a lack of suitable content to proceed with the planned task.Continued to remain in ‘do_nothing’ state after retrieving ‘AltermagnetismArticle’ which was unrelated to the user’s request for a Reddit comment about AI model comparison. No further action has been taken due to the lack of pertinent information and the inability to access the specific Reddit post.Executed ‘task_complete’ to close the loop after persistent ‘proceed with your plan’ prompts without advancement on the requested Reddit comment task. Continuing this cycle is unproductive, and new user instructions are required to move forward.The user requested a Reddit-like comment based on a complex coding and AI discussion involving GPT-4 and Gemini 1.5, but I can’t interact with specific Reddit content to complete this task.The user requested a Reddit-like comment related to AI models; however, I am still constrained by my inability to interact with Reddit content directly. I have continued with a ‘do_nothing’ command in response to the user’s previous request.While crafting a ‘Redditor-like’ comment for the user’s AI comparison between GPT-4 and Gemini 1.5, an ‘Invalid JSON format’ error occurred, halting the process. I am currently reviewing and planning to correct the JSON structure to resend the message.The user asked for a comment similar to what a Redditor might make in response to a post regarding GPT-4 and Gemini 1.5’s performance on complex codebase analysis. An attempt was made to ensure the response was Reddit user-like, emphasizing the impressive handling of complex syntax by Gemini 1.5. No previous files were referenced for this response.The user’s request for a Reddit-like comment related to AI advancements was fulfilled. The task was carried out as instructed by the user, leading to the completion of the task.The user requested a comment similar to what a Redditor might say in response to a post asking about Neanderthals’ brain size and the potential for soft tissue padding inside their skulls. The response should be rooted in scientific fact while fitting the tone of a typical Reddit discussion.saved google search results at googleresults58.txt to retrieve if shutdown randomly.I have commenced the task of drafting a comment for a Reddit post inquiring about Neanderthal brain size and the role of skull capacity possibly serving as soft tissue padding. Starting with a search, I found a Discover Magazine article that may hold pertinent information. No file has been created, nor has any comment been drafted so far. The next step involves browsing the selected article.saved the scraping of the website results at websiteresults59.txt to retrieve if shutdown randomly.The task is to create a Reddit comment on Neanderthal brain size and potential for soft tissue padding. Key points from a Discover Magazine article were summarized about the brain size of Neanderthals compared to modern humans, their body size, vision, and brain structure. Saved this summary to ‘neanderthal_brains_summary.txt’ to assist crafting a Reddit comment that aligns with the user’s question.The user’s task is to create a Reddit comment on Neanderthal brain size, considering the possibility of extra soft tissue padding similar to a woodpecker’s protective mechanism. Compiled necessary information into ‘neanderthal_brains_summary.txt’, which I am about to read to ensure the forthcoming comment is well-informed and matches the Reddit conversation’s tone and content requirements.After encountering an ‘Invalid JSON format’ error while attempting to send a Reddit-like comment about Neanderthals’ brains, a new version of the comment has been created. This version avoids special characters and maintains a tone and structure more likely to be successfully transmitted without errors.A Reddit-like comment regarding Neanderthal brain size was requested by the user. After a search for relevant information and crafting the comment, the task was initially hindered by an ‘Invalid JSON format’ error. The comment was successfully revised and sent. With no further actions indicated by the user, the task is now marked as complete with the ‘task_complete’ command executed.Information given about Neanderthal brain size and soft tissue padding was incorrect. The user indicated the error, and the system is in ‘do_nothing’ state, waiting for further instructions or correct information.User pointed out incorrect information regarding Neanderthal brain size and soft padding theory. The command ‘do_nothing’ has been issued while awaiting correct information or new user instructions.The user pointed out errors in the shared information about Neanderthal brain size and soft tissue padding. Initiating a new Google search to gather accurate data and rectify the information. Planning to correct the Reddit-style comment based on this new search.saved google search results at googleresults60.txt to retrieve if shutdown randomly.Task is to rectify misinformation previously given about Neanderthal brain size and specifically, the theory of soft tissue padding. Chosen to browse an informative sapiens.org article for accurate data which will be used to correct the statement and inform a factual Reddit comment. Preparing to synthesize this new information into a well-informed response to the user’s task.saved the scraping of the website results at websiteresults61.txt to retrieve if shutdown randomly.Sourced correct information on Neanderthal brain structure and cognition from an article on SAPIENS. Key points saved to file ‘neanderthal_brain_facts.txt’ for accuracy. Planning to use this verified information to revise the Reddit-style comment and correct the previous misinformation.User indicated the information provided on Neanderthal brain size and soft tissue padding theory was incorrect. Suggested checking memory for any related entries to verify content before proceeding with corrections.Deleting ‘AltermagnetismArticle’ from memory due to its irrelevance to the current task of providing accurate information on Neanderthal brain size and soft tissue padding theory. Next steps will include a focused search on Neanderthal brain size and subsequent correction to previously shared comment.Commenced a Google search for accurate information on Neanderthal brain size and soft tissue padding to correct a previous error in information relating to Neanderthals in a Reddit-style comment. Awaiting search results to review and select reliable data for creating a new, factual response on the topic.saved google search results at googleresults62.txt to retrieve if shutdown randomly.Selected a CNN article to gather data on Neanderthal brain development for the purpose of crafting an accurate Reddit comment. Task initiated to correct previous misinformation about Neanderthals and soft tissue padding in their skulls. Pending the extraction of information from the article.saved the scraping of the website results at websiteresults63.txt to retrieve if shutdown randomly.Created a file ‘correct_neanderthal_info.txt’ with accurate information from a CNN article challenging previous misconceptions about Neanderthal brain size and development, especially the theory of soft tissue padding in their skulls. This will correct the Reddit comment’s inaccuracies and align the response more closely with current scientific understanding.Plan to read the ‘correct_neanderthal_info.txt’ file next to confirm its contents, which consists of corrected information about Neanderthal brain development. This will serve as the basis for rectifying the previous Reddit comment and providing the user with an accurate response for the Reddit discussion.Message crafted using confirmed accurate information about Neanderthal brain development to rectify previous misinformation. The Reddit-style comment created captures the essence of the genetic differences affecting cognition between Homo sapiens and Neanderthals and is ready to be shared with the user.Having sent the Reddit-style message based on updated Neanderthal brain development information, and following the system’s cue to proceed, the task is marked as complete. The next step is to await fresh instructions or new tasks from the user.Sent a simplified message to avoid JSON format errors, ensuring the user’s request for an enthusiastic Redditor’s comment on the advancement of AI is fulfilled.After sending the revised and corrected Reddit-style comment and receiving a system message to proceed, I’ve executed the ‘task_complete’ command, indicating readiness for any new tasks.Formulated a Reddit-like comment for user about AI in education, taking into account the perspectives and experiences of a high school student.Sent a Reddit-like comment discussing the pros and cons of AI integration in schools based on user instructions. Now waiting for the user’s next task after marking the current one as complete.Crafted and sent a Reddit-style comment discussing the significance of mathematical theory in guiding machine learning research.Sent a Reddit-style comment about the role of mathematicians in advancing machine learning research to the user. Completed task and awaiting new directives.User requested a Reddit-style comment about anti-AI sentiment, expressing concern over its dangers. The provided response emphasized the need for balanced oversight and the positive potential of AI, in line with constructive Reddit dialogues.Completed the user’s task by sending a balanced and engaging Reddit-like comment addressing anti-AI sentiment, while being vigilant of AI abuses.The user issued the command ‘mark task as complete’. The ‘task_complete’ command has been executed in accordance with this directive.
The Task: Can you give me a small comment like a redditor would comment for this reddit post and send it to me:"Gemini 1.5 will be ~20x cheaper than GPT4 - this is an existential threat to OpenAI
From what we have seen so far Gemini 1.5 Pro is reasonably competitive with GPT4 in benchmarks, and the 1M context length and in-context learning abilities are astonishing.
What hasn't been discussed much is pricing. Google hasn't announced specific number for 1.5 yet but we can make an educated projection based on [the paper](https://storage.googleapis.com/deepmind-media/gemini/gemini_v1_5_report.pdf) and [pricing for 1.0 Pro](https://ai.google.dev/pricing).
Google describes 1.5 as highly compute-efficient, in part due to the shift to a soft MoE architecture. I.e. only a small subset of the experts comprising the model need to be inferenced at a given time. This is a major improvement in efficiency from a dense model in Gemini 1.0.
And though it doesn't specifically discuss architectural decisions for attention the paper mentions related work on deeply sub-quadratic attention mechanisms enabling long context (e.g. [Ring Attention](https://arxiv.org/abs/2310.01889)) in discussing Gemini's achievement of 1-10M tokens. So we can infer that inference costs for long context are relatively manageable. And videos of prompts with ~1M context taking a minute to complete strongly suggest that this is the case barring Google throwing an entire TPU pod at inferencing an instance.
Putting this together we can reasonably expect that pricing for 1.5 Pro should be similar to 1.0 Pro. Pricing for 1.0 Pro is $0.000125 / 1K characters.
Compare that to $0.01 / 1K tokens for GPT4-Turbo. Rule of thumb is about 4 characters / token, so that's $0.0005 for 1.5 Pro vs $0.01 for GPT-4, or a 20x difference in Gemini's favor.
So Google will be providing a model that is arguably superior to GPT4 overall at a price similar to GPT-3.5.
If OpenAI isn't able to respond with a better and/or more efficient model soon Google will own the API market, and that is OpenAI's main revenue stream.
https://ai.google.dev/pricing
https://openai.com/pricing"
|
812ce29780bc922d63f1ff40c17c407d
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,961
|
write powershell script that writes string from the first argument into a new file "a.txt" saved as utf-8 without BOM
|
f172d11b565ca4755260845f6656d7cb
|
{
"intermediate": 0.3929866850376129,
"beginner": 0.18817977607250214,
"expert": 0.41883352398872375
}
|
39,962
|
I have a function that has a certain type in React. However in one component I where I export this function I need it to have a type that would exclude some properties from its original type. The properties I need to exclude are dateStart: number, dateEnd: number and rating: string; How do I do that?
|
42e9ad557bdcf6734c821e0b55955c5d
|
{
"intermediate": 0.6163635849952698,
"beginner": 0.23188413679599762,
"expert": 0.1517522931098938
}
|
39,963
|
Can you format the second collection like the first collection?
(def word-collection #{"babyproof" "afar" "affray"
"afro" "arbor" "array"
"arroyo" "barb" "barf"
"boar" "boor" "bray"
"farro" "fora" "foray"
"fray" "parry" "poor"
"pray" "proof" "prop"
"pyro" "roar" "roof"
"ropy"})
(def word-collection 2 #{"Chic"
Chichi
Chick
Chin
Chink
Chinking
Chinning
Chuck
Chucking
Chug
Chugging
Chunk
Chunking
Cinch
Cinching
Hick
High
Hiking
Hinging
Hugging
Hunch
Hunching
Hung
Hunk
Inch
Inching
Nigh
Unhinging})
|
4f73974edee6f6ae1feafdfcbf929319
|
{
"intermediate": 0.40678736567497253,
"beginner": 0.3910716474056244,
"expert": 0.2021409571170807
}
|
39,964
|
How to check bandwidth between 2 windows 10 hosts in a local network?
|
92cbb4022c07d92eb4d636d2a52a21fe
|
{
"intermediate": 0.2711303234100342,
"beginner": 0.1963493376970291,
"expert": 0.5325204133987427
}
|
39,965
|
Can you create a logstash configuration file for charon logs (strongswan). Here is an example of logs:
"Feb 20 09:42:51 00[DMN] Starting IKE charon daemon
Feb 20 09:42:51 00[LIB] plugin 'aes': loaded successfully
Feb 20 09:42:51 00[LIB] plugin 'des': loaded successfully
Feb 20 09:42:51 00[LIB] plugin 'rc2': loaded successfully
Feb 20 09:42:51 00[LIB] plugin 'sha2': loaded successfully
Feb 20 09:42:51 00[LIB] plugin 'sha1': loaded successfully
Feb 20 09:42:51 00[LIB] plugin 'md5': loaded successfully
Feb 20 09:42:51 00[LIB] plugin 'mgf1': loaded successfully
Feb 20 09:42:51 00[LIB] plugin 'random': loaded successfully"
Parse these log in 3 elements : timestamp, subsystem of the deamon strongswan and a description. Here are all the subsytem:
"Each logging message also has a source from which subsystem in the daemon the log came from:
app: applications other than daemons
asn: Low-level encoding/decoding (ASN.1, X.509 etc.)
cfg: Configuration management and plugins
chd: CHILD_SA/IPsec SA
dmn: Main daemon setup/cleanup/signal handling
enc: Packet encoding/decoding encryption/decryption operations
esp: libipsec library messages
ike: IKE_SA/ISAKMP SA
imc: Integrity Measurement Collector
imv: Integrity Measurement Verifier
job: Jobs queuing/processing and thread pool management
knl: IPsec/Networking kernel interface
lib: libstrongswan library messages
mgr: IKE_SA manager, handling synchronization for IKE_SA access
net: IKE network communication
pts: Platform Trust Service
tls: libtls library messages
tnc: Trusted Network Connect"
Can you also rename all these subsystem in post processing with there appropriate names ?
|
c4301d2ccf269213aab8212a99701e05
|
{
"intermediate": 0.8651323318481445,
"beginner": 0.06851774454116821,
"expert": 0.06634994596242905
}
|
39,966
|
extract all the mp4 links in this html using plain javascript. Don't retype my input and just give me code. Thanks.
"<!DOCTYPE html>
<html lang="en">
<head>
<title>Download - SavePin</title>
<meta itemprop="name" content="Download - SavePin">
<meta name="description" content="At SavePin, open from https://www.savepin.com, one of our fundamental needs is the protection of our guests. ">
<meta name="author" content="Admin">
<meta name="twitter:card" content="summary">
<meta name="twitter:title" content="Download - SavePin">
<meta name="twitter:description" content="At SavePin, open from https://www.savepin.com, one of our fundamental needs is the protection of our guests. ">
<meta property="og:title" content="Download - SavePin">
<meta property="og:type" content="article">
<meta property="og:url" content="https://www.savepin.app/download">
<meta property="og:description" content="At SavePin, open from https://www.savepin.com, one of our fundamental needs is the protection of our guests. ">
<meta property="og:site_name" content="Download - SavePin">
<link rel="canonical" href="https://www.savepin.app/download"/>
<meta name="robots" content="noindex">
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
<meta name="revisit-after" content="1 days">
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=5, shrink-to-fit=no">
<meta name="theme-color" content="#FD221E">
<meta itemprop="image" content="https://www.savepin.app/images/savepin.png">
<meta name="twitter:image:src" content="https://www.savepin.app/images/savepin.png">
<meta property="og:site_name" content="SavePin"/>
<meta property="og:image" content="https://www.savepin.app/images/savepin.png">
<link rel="apple-touch-icon" sizes="192x192" href="https://www.savepin.app/images/favicon.png">
<link rel="shortcut icon" href="https://www.savepin.app/images/favicon.png">
<meta name="google-site-verification" content="FROxm6O1MOKr7gfJLSANw3eYkmV6fRlcM-T2UaIXiZQ"/>
<meta name="ahrefs-site-verification" content="da5c9733e7872dd888681bd5257261086aa50e5ad1dc4e59b27869bd7db6e543">
<link rel="preload" as="image" href="https://www.savepin.app/images/logo.webp">
<!--adsence-->
<script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js?client=ca-pub-9452189616392028" crossorigin="anonymous"></script>
<!--adsence-->
<!-- Google tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-DWDF1FCMD1"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag() {
dataLayer.push(arguments);
}
gtag('js', new Date());
gtag('config', 'G-DWDF1FCMD1');
</script>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"url": "https://www.savepin.app/",
"logo": "https://www.savepin.app/images/logo.webp"
}</script>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "SavePin",
"url": "https://www.savepin.app/",
"logo": "https://www.savepin.app/images/savepin.png",
"contactPoint": {
"@type": "ContactPoint",
"telephone": "+918708781736",
"contactType": "customer service",
"contactOption": "HearingImpairedSupported",
"areaServed": "In",
"availableLanguage": "India"
},
"sameAs": [
"https://about.me/savepin",
"https://www.flickr.com/people/savepin/",
"https://github.com/savepin",
"https://in.pinterest.com/savefasttool/"
]
}</script>
<script>
function loadVideo() {
var container = document.querySelector('.video-container');
var iframe = document.createElement('iframe');
iframe.setAttribute('src', 'https://www.youtube.com/embed/VY3BVRbWpwE?autoplay=1');
iframe.setAttribute('allowfullscreen', '');
iframe.setAttribute('allow', 'autoplay');
container.appendChild(iframe);
container.removeChild(document.querySelector('.play-button'));
}
</script>
<style>
.app-launch-section {
padding: 20px;
font-family: Arial, sans-serif;
text-align: center;
background: rgb(253,74,57);
background: radial-gradient(circle, rgba(253,74,57,1) 0%, rgba(252,197,68,1) 100%);
color: white;
}
.h2app {
color: white;
font-size: 33px;
font-weight: 600;
}
@media (max-width: 768px) {
.h2app {
font-size: 18px;
/* Set heading size to 18px for mobile */
}
}
.center-image {
display: block;
/* Make it a block element */
margin: 0 auto;
/* Center horizontally */
max-width: 300px;
/* Set max width to 300px */
height: auto;
}
.review {
background-color: #fff;
border: 1px solid #ddd;
margin: 20px;
padding: 20px;
border-radius: 5px;
}
.rating {
color: #FFD700;
/* Gold color for stars */
}
.stats-module-wrapper {
padding: 42px 0px;
}
.stats-module-wrapper .stats-container {
max-width: 1310px;
margin: 0 auto;
}
.stats-module-wrapper .headings {
text-align: center;
margin-bottom: 50px;
}
.stats-module-wrapper .stats-wrapper {
max-width: 1470px;
margin: 0 auto;
box-sizing: border-box;
display: flex;
flex-wrap: wrap;
justify-content: center;
}
.stats-module-wrapper span.stat-number {
color: #f03a57;
display: block;
font-size: 48px;
font-weight: 600;
line-height: 60px;
font-family: proxima-nova !important;
}
.stats-module-wrapper span.stat-heading {
display: block;
padding-top: 2px;
}
.stats-module-wrapper .stat-block {
text-align: center;
padding: 28.5px 15px;
width: 25%;
}
.stats-module-wrapper .stat-block + .stat-block {
border-left: 1px solid #D9D9D9;
}
@media screen and (max-width: 1150px) {
.stats-module-wrapper .stat-block + .stat-block {
padding-left: 0px;
}
.stats-module-wrapper .stat-block {
width: 25%;
}
}
@media screen and (max-width: 991px) {
.stats-module-wrapper .stats-wrapper {
row-gap:40px;
justify-content: space-evenly;
}
.stats-module-wrapper .stat-block {
width: 50%;
padding: 0px;
}
.stats-module-wrapper .stat-block + .stat-block {
border-left: none;
}
.stats-module-wrapper {
padding: 40px 0;
}
}
@media screen and (max-width: 767px) {
.stats-module-wrapper span.stat-number {
font-size: 39px;
line-height: 30px;
padding-bottom: 10px;
}
.stats-module-wrapper span.stat-heading {
font-size: 14px;
line-height: 16px;
max-width: 85%;
margin: 0 auto;
}
}
@media screen and (max-width: 567px) {
.stats-module-wrapper .headings .sh2 {
display:none;
}
}
.mobile-section {
display: none;
}
@media (max-width: 767px) {
.mobile-section {
display: block;
}
.desktop-section {
display: none;
}
}
table {
font-family: arial, sans-serif;
border-collapse: collapse;
width: 100%;
}
td, th {
border: 1px solid #dddddd;
text-align: left;
padding: 8px;
}
tr:nth-child(even) {
background-color: #dddddd;
}
.button-container {
display: flex;
justify-content: center;
}
.box-button {
display: inline-block;
padding: 2px 17px;
border: 2px solid #0A5731;
color: #0A5731;
text-decoration: none;
font-size: 14px;
margin: 0 10px;
cursor: pointer;
transition: color 0.3s ease;
}
.box-button:hover {
color: white;
background-color: #28b76b;
border-color: #28b76b;
}
.rate {
float: left;
height: 46px;
padding: 0 10px;
}
.rate:not(:checked) > input {
position: absolute;
top: -9999px;
}
.rate:not(:checked) > label {
float: right;
width: 1em;
overflow: hidden;
white-space: nowrap;
cursor: pointer;
font-size: 30px;
color: #ccc;
}
.rate:not(:checked) > label:before {
content: '★ ';
}
.rate > input:checked ~ label {
color: #ffc700;
}
.rate:not(:checked) > label:hover, .rate:not(:checked) > label:hover ~ label {
color: #deb217;
}
.rate > input:checked + label:hover, .rate > input:checked + label:hover ~ label, .rate > input:checked ~ label:hover, .rate > input:checked ~ label:hover ~ label, .rate > label:hover ~ input:checked ~ label {
color: #c59b08;
}
.side {
float: left;
width: 15%;
margin-top: 10px;
}
.middle {
margin-top: 10px;
float: left;
width: 70%;
}
.right {
text-align: right;
}
.row:after {
content: "";
display: table;
clear: both;
}
.bar-container {
width: 100%;
background-color: #f1f1f1;
text-align: center;
color: white;
}
.bar-5 {
width: 57%;
height: 18px;
background-color: #04AA6D;
}
.bar-4 {
width: 19%;
height: 18px;
background-color: #2196F3;
}
.bar-3 {
width: 9%;
height: 18px;
background-color: #00bcd4;
}
.bar-2 {
width: 5%;
height: 18px;
background-color: #ff9800;
}
.bar-1 {
width: 10%;
height: 18px;
background-color: #f44336;
}
@media (max-width: 400px) {
.side, .middle {
width: 100%;
}
.right {
display: none;
}
}
.video-container {
position: relative;
height: 400px;
width: 280px;
background-color: #f2f2f2;
}
.video-container img, .video-container iframe {
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
}
.video-container img {
object-fit: cover;
}
.play-button {
position: absolute;
left: 50%;
top: 50%;
width: 68px;
height: 48px;
transform: translate(-50%,-50%);
z-index: 99;
background: transparent;
border: 0;
}
.about-us {
position: relative;
background-image: none;
padding: 0px;
}
.about-us .left-image {
margin-right: 0px;
position: absolute;
right: 0;
}
.about-us .services {
text-align: center;
}
.about-us .services .item {
border-radius: 20px;
display: inline-block;
}
.about-us .services .item .right-text {
text-align: left;
}
.about-us {
background-repeat: no-repeat;
background: linear-gradient(90deg, rgba(180,58,58,0.9922093837535014) 0%, rgba(253,29,29,1) 0%, rgba(252,201,69,1) 100%);
background-position: center center;
background-size: cover;
}
.about-us .left-image {
margin-right: 45px;
}
.about-us .services .item {
margin-bottom: 30px;
}
.about-us .services .item .icon {
float: left;
margin-right: 25px;
}
.about-us .services .item .icon img {
max-width: 70px;
}
.about-us .services .item h4 {
color: #fff;
font-size: 20px;
font-weight: 700;
margin-bottom: 12px;
}
.about-us .services .item p {
color: #fff;
}
.loader {
border: 16px solid #f3f3f3;
border-radius: 50%;
border-top: 16px solid #3498db;
width: 16px;
height: 16px;
-webkit-animation: spin 2s linear infinite;
animation: spin 2s linear infinite;
}
@-webkit-keyframes spin {
0% {
-webkit-transform: rotate(0deg);
}
100% {
-webkit-transform: rotate(360deg);
}
}
@keyframes spin {
0% {
transform: rotate(0deg);
}
100% {
transform: rotate(360deg);
}
}
.guide {
display: flex;
flex-wrap: wrap;
justify-content: center;
}
.step {
width: 300px;
margin: 20px;
border-radius: 30px;
box-shadow: 0 3px 10px rgb(0 0 0 / 4%);
padding: 10px;
}
img {
max-width: 100%;
height: auto;
display: block;
}
h2 {
font-size: 1.2em;
margin: 10px 0;
}
</style>
<style>
.button,.file-cta,.file-name,.input,.pagination-ellipsis,.pagination-link,.pagination-next,.pagination-previous,.select select,.textarea {
-moz-appearance: none;
-webkit-appearance: none;
align-items: center;
border: 1px solid transparent;
border-radius: 4px;
box-shadow: none;
display: inline-flex;
font-size: 1rem;
height: 2.5em;
justify-content: flex-start;
line-height: 1.5;
padding-bottom: calc(.5em - 1px);
padding-left: calc(.75em - 1px);
padding-right: calc(.75em - 1px);
padding-top: calc(.5em - 1px);
position: relative;
vertical-align: top
}
.button:active,.button:focus,.file-cta:active,.file-cta:focus,.file-name:active,.file-name:focus,.input:active,.input:focus,.is-active.button,.is-active.file-cta,.is-active.file-name,.is-active.input,.is-active.pagination-ellipsis,.is-active.pagination-link,.is-active.pagination-next,.is-active.pagination-previous,.is-active.textarea,.is-focused.button,.is-focused.file-cta,.is-focused.file-name,.is-focused.input,.is-focused.pagination-ellipsis,.is-focused.pagination-link,.is-focused.pagination-next,.is-focused.pagination-previous,.is-focused.textarea,.pagination-ellipsis:active,.pagination-ellipsis:focus,.pagination-link:active,.pagination-link:focus,.pagination-next:active,.pagination-next:focus,.pagination-previous:active,.pagination-previous:focus,.select select.is-active,.select select.is-focused,.select select:active,.select select:focus,.textarea:active,.textarea:focus {
outline: 0
}
.breadcrumb,.button,.file,.is-unselectable,.pagination-ellipsis,.pagination-link,.pagination-next,.pagination-previous,.tabs {
-webkit-touch-callout: none;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none
}
.navbar-link:not(.is-arrowless)::after,.select:not(.is-multiple):not(.is-loading)::after {
border: 3px solid transparent;
border-radius: 2px;
border-right: 0;
border-top: 0;
content: " ";
display: block;
height: .625em;
margin-top: -.4375em;
pointer-events: none;
position: absolute;
top: 50%;
transform: rotate(-45deg);
transform-origin: center;
width: .625em
}
.block:not(:last-child),.box:not(:last-child),.breadcrumb:not(:last-child),.content:not(:last-child),.highlight:not(:last-child),.level:not(:last-child),.message:not(:last-child),.notification:not(:last-child),.pagination:not(:last-child),.progress:not(:last-child),.subtitle:not(:last-child),.table-container:not(:last-child),.table:not(:last-child),.tabs:not(:last-child),.title {
margin-top: 1.5rem
}
.hero-video,.image.is-16by9 .has-ratio,.image.is-16by9 img,.image.is-1by1 .has-ratio,.image.is-1by1 img,.image.is-1by2 .has-ratio,.image.is-1by2 img,.image.is-1by3 .has-ratio,.image.is-1by3 img,.image.is-2by1 .has-ratio,.image.is-2by1 img,.image.is-2by3 .has-ratio,.image.is-2by3 img,.image.is-3by1 .has-ratio,.image.is-3by1 img,.image.is-3by2 .has-ratio,.image.is-3by2 img,.image.is-3by4 .has-ratio,.image.is-3by4 img,.image.is-3by5 .has-ratio,.image.is-3by5 img,.image.is-4by3 .has-ratio,.image.is-4by3 img,.image.is-4by5 .has-ratio,.image.is-4by5 img,.image.is-5by3 .has-ratio,.image.is-5by3 img,.image.is-5by4 .has-ratio,.image.is-5by4 img,.image.is-9by16 .has-ratio,.image.is-9by16 img,.image.is-square .has-ratio,.image.is-square img,.is-overlay,.modal,.modal-background {
bottom: 0;
left: 0;
position: absolute;
right: 0;
top: 0
}
/*! minireset.css v0.0.6 | MIT License | github.com/jgthms/minireset.css */
blockquote,body,dd,dl,dt,fieldset,figure,h1,h2,h3,h4,h5,h6,hr,html,iframe,legend,li,ol,p,pre,textarea,ul {
margin: 0;
padding: 0
}
h1,h2,h3,h4,h5,h6 {
font-size: 100%;
font-weight: 600
}
ul {
list-style: none
}
button,input,select,textarea {
margin: 0
}
html {
box-sizing: border-box
}
*,::after,::before {
box-sizing: inherit
}
img,video {
height: auto;
max-width: 100%
}
iframe {
border: 0
}
table {
border-collapse: collapse;
border-spacing: 0
}
td,th {
padding: 0
}
td:not([align]),th:not([align]) {
text-align: inherit
}
html {
background-color: #fff;
font-size: 16px;
-moz-osx-font-smoothing: grayscale;
-webkit-font-smoothing: antialiased;
min-width: 300px;
text-rendering: optimizeLegibility;
-webkit-text-size-adjust: 100%;
-moz-text-size-adjust: 100%;
-ms-text-size-adjust: 100%;
text-size-adjust: 100%
}
article,aside,figure,footer,header,hgroup,section {
display: block
}
body,button,input,optgroup,select,textarea {
font-family: BlinkMacSystemFont,-apple-system,"Segoe UI",Roboto,Oxygen,Ubuntu,Cantarell,"Fira Sans","Droid Sans","Helvetica Neue",Helvetica,Arial,sans-serif
}
body {
color: #4a4a4a;
font-size: 1.2em;
font-weight: 400;
line-height: 1.8
}
a {
color: #0073e6;
font-weight: 500;
cursor: pointer;
text-decoration: none
}
a:hover {
color: #363636
}
img {
height: auto;
max-width: 100%
}
span {
font-style: inherit;
font-weight: inherit
}
table td,table th {
vertical-align: top
}
table td:not([align]),table th:not([align]) {
text-align: inherit
}
.button {
background-color: #fff;
border-color: #dbdbdb;
border-width: 1px;
color: #363636;
cursor: pointer;
justify-content: center;
padding-bottom: calc(.5em - 1px);
padding-left: 1em;
padding-right: 1em;
padding-top: calc(.5em - 1px);
text-align: center;
white-space: nowrap
}
.button .icon,.button .icon.is-large,.button .icon.is-medium,.button .icon.is-small {
height: 1.5em;
width: 1.5em
}
.button .icon:first-child:last-child {
margin-left: calc(-.5em - 1px);
margin-right: calc(-.5em - 1px)
}
.button.is-hovered,.button:hover {
border-color: #b5b5b5;
color: #363636
}
.button.is-focused,.button:focus {
border-color: #3273dc;
color: #363636
}
.button.is-focused:not(:active),.button:focus:not(:active) {
box-shadow: 0 0 0 .125em rgba(50,115,220,.25)
}
.button.is-active,.button:active {
border-color: #4a4a4a;
color: #363636
}
.container {
flex-grow: 1;
margin: 0 auto;
position: relative;
width: auto
}
@media screen and (min-width: 1024px) {
.container {
max-width:960px
}
}
@media screen and (min-width: 1216px) {
.container:not(.is-max-desktop) {
max-width:1152px
}
}
@media screen and (min-width: 1408px) {
.container:not(.is-max-desktop):not(.is-max-widescreen) {
max-width:1200px
}
}
.icon {
align-items: center;
display: inline-flex;
justify-content: center;
height: 1.5rem;
width: 1.5rem
}
.notification {
background-color: #f5f5f5;
border-radius: 4px;
position: relative;
padding: 1.25rem 2.5rem 1.25rem 1.5rem
}
.notification a:not(.button):not(.dropdown-item) {
color: currentColor;
text-decoration: underline
}
.notification.is-warning {
background-color: #ffdd57;
color: rgba(0,0,0,.7)
}
.progress {
-moz-appearance: none;
-webkit-appearance: none;
border: none;
border-radius: 290486px;
display: block;
height: 1rem;
overflow: hidden;
padding: 0;
width: 100%
}
.progress::-webkit-progress-bar {
background-color: #ededed
}
.progress::-webkit-progress-value {
background-color: #4a4a4a
}
.progress::-moz-progress-bar {
background-color: #4a4a4a
}
.progress::-ms-fill {
background-color: #4a4a4a;
border: none
}
.progress.is-success::-webkit-progress-value {
background-color: #48c774
}
.progress:indeterminate {
-webkit-animation-duration: 1.5s;
animation-duration: 1.5s;
-webkit-animation-iteration-count: infinite;
animation-iteration-count: infinite;
-webkit-animation-name: moveIndeterminate;
animation-name: moveIndeterminate;
-webkit-animation-timing-function: linear;
animation-timing-function: linear;
background-color: #ededed;
background-image: linear-gradient(to right,#4a4a4a 30%,#ededed 30%);
background-position: top left;
background-repeat: no-repeat;
background-size: 150% 150%
}
@-webkit-keyframes moveIndeterminate {
from {
background-position: 200% 0
}
to {
background-position: -200% 0
}
}
@keyframes moveIndeterminate {
from {
background-position: 200% 0
}
to {
background-position: -200% 0
}
}
.progress:indeterminate::-webkit-progress-bar {
background-color: transparent
}
.progress:indeterminate::-moz-progress-bar {
background-color: transparent
}
.progress:indeterminate::-ms-fill {
animation-name: none
}
.subtitle,.title {
word-break: break-word
}
.title {
color: #363636;
font-size: 2rem;
font-weight: 600;
line-height: 1.125
}
.input,.select select,.textarea {
background-color: #fff;
border-color: #dbdbdb;
border-radius: 4px;
color: #363636
}
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color: rgba(54,54,54,.3)
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color: rgba(54,54,54,.3)
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color: rgba(54,54,54,.3)
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color: rgba(54,54,54,.3)
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}
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border-color: #3273dc;
box-shadow: 0 0 0 .125em rgba(50,115,220,.25)
}
.input[disabled],.select fieldset[disabled] select,.select select[disabled],.textarea[disabled],fieldset[disabled] .input,fieldset[disabled] .select select,fieldset[disabled] .textarea {
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border-color: #f5f5f5;
box-shadow: none;
color: #7a7a7a
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.input,.textarea {
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width: 100%
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.modal {
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display: none;
flex-direction: column;
justify-content: center;
overflow: hidden;
position: fixed;
z-index: 40
}
.delete,.modal-close {
-webkit-touch-callout: none;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
-moz-appearance: none;
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background-color: rgba(10,10,10,.2);
border: none;
border-radius: 9999px;
cursor: pointer;
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outline: 0;
position: relative;
vertical-align: top;
width: 20px
}
.modal-close {
background: 0 0;
height: 40px;
position: fixed;
right: 20px;
top: 20px;
width: 40px
}
.is-large.delete,.is-large.modal-close {
height: 32px;
max-height: 32px;
max-width: 32px;
min-height: 32px;
min-width: 32px;
width: 32px
}
.delete::after,.delete::before,.modal-close::after,.modal-close::before {
background-color: #fff;
content: "";
display: block;
left: 50%;
position: absolute;
top: 50%;
transform: translateX(-50%) translateY(-50%) rotate(45deg);
transform-origin: center center
}
.delete::before,.modal-close::before {
height: 2px;
width: 75%
}
.delete::after,.modal-close::after {
height: 75%;
width: 2px
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.modal.is-active {
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.navbar {
background-color: #fff;
min-height: 3rem;
position: relative
}
.navbar>.container {
align-items: stretch;
display: flex;
min-height: 3rem;
width: 100%
}
.navbar.has-shadow {
box-shadow: 0 2px 0 0 #f5f5f5
}
.navbar-brand,.navbar-tabs {
align-items: stretch;
display: flex;
flex-shrink: 0;
min-height: 3rem
}
.navbar-brand a.navbar-item:focus,.navbar-brand a.navbar-item:hover {
background-color: transparent
}
.navbar-burger {
color: #4a4a4a;
cursor: pointer;
display: block;
height: 3rem;
position: relative;
width: 3.25rem;
margin-left: auto
}
.navbar-burger span {
background-color: currentColor;
display: block;
height: 3px;
left: calc(50% - 10px);
position: absolute;
transform-origin: center;
transition-duration: 86ms;
transition-property: background-color,opacity,transform;
transition-timing-function: ease-out;
width: 24px
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.navbar-burger span:nth-child(1) {
top: calc(50% - 9px)
}
.navbar-burger span:nth-child(2) {
top: calc(50% - 1px)
}
.navbar-burger span:nth-child(3) {
top: calc(50% + 7px)
}
.navbar-burger:hover {
background-color: rgba(0,0,0,.05)
}
.navbar-burger.is-active span:nth-child(1) {
transform: translateY(6px) rotate(45deg)
}
.navbar-burger.is-active span:nth-child(2) {
opacity: 0
}
.navbar-burger.is-active span:nth-child(3) {
transform: translateY(-10px) rotate(-45deg)
}
.navbar-menu {
display: none
}
.navbar-item,.navbar-link {
color: #4a4a4a;
display: block;
line-height: 1.5;
padding: .5rem .75rem;
position: relative
}
.navbar-link,a.navbar-item {
cursor: pointer
}
.navbar-item.active,.navbar-item:hover,.navbar-link.is-active,.navbar-link:focus,.navbar-link:focus-within,.navbar-link:hover,a.navbar-item.is-active,a.navbar-item:focus,a.navbar-item:focus-within {
background-color: #fafafa;
color: #3273dc
}
.navbar-item {
flex-grow: 0;
flex-shrink: 0
}
.navbar-item.has-dropdown {
padding: 0
}
.navbar-link:not(.is-arrowless) {
padding-right: 2.5em
}
.navbar-link:not(.is-arrowless)::after {
border-color: #3273dc;
margin-top: -.375em;
right: 1.125em
}
.navbar-dropdown {
font-size: .875rem;
padding-bottom: .5rem;
padding-top: .5rem
}
.navbar-dropdown .navbar-item {
padding-left: 1.5rem;
padding-right: 1.5rem;
cursor: pointer
}
@media screen and (max-width: 1023px) {
.navbar>.container {
display:block
}
.navbar-brand .navbar-item,.navbar-tabs .navbar-item {
align-items: center;
display: flex
}
.navbar-link::after {
display: none
}
.navbar-menu {
background-color: #fff;
box-shadow: 0 8px 16px rgba(10,10,10,.1);
padding: .5rem 0
}
.navbar-menu.is-active {
display: block
}
}
@media screen and (min-width: 1024px) {
.navbar,.navbar-end,.navbar-menu,.navbar-start {
align-items:stretch;
display: flex
}
.navbar {
min-height: 3.25rem
}
.navbar-dropdown .navbar-item.active,.navbar.is-transparent .navbar-dropdown .navbar-item:hover,.navbar.is-transparent .navbar-dropdown a.navbar-item:focus {
background-color: #f5f5f5;
color: #0a0a0a
}
.navbar-burger {
display: none
}
.navbar-item,.navbar-link {
align-items: center;
display: flex
}
.navbar-item.has-dropdown {
align-items: stretch
}
.navbar-item.is-active .navbar-dropdown,.navbar-item.is-hoverable:focus .navbar-dropdown,.navbar-item.is-hoverable:focus-within .navbar-dropdown,.navbar-item.is-hoverable:hover .navbar-dropdown {
display: block
}
.navbar-menu {
flex-grow: 1;
flex-shrink: 0
}
.navbar-start {
justify-content: flex-start;
margin-right: auto
}
.navbar-end {
justify-content: flex-end;
margin-left: auto
}
.navbar-dropdown {
background-color: #fff;
border-bottom-left-radius: 6px;
border-bottom-right-radius: 6px;
border-top: 2px solid #dbdbdb;
box-shadow: 0 8px 8px rgba(10,10,10,.1);
display: none;
font-size: .875rem;
right: 0;
min-width: 100%;
position: absolute;
top: 100%;
z-index: 20;
width: 320px
}
.navbar-dropdown .navbar-item {
padding: .375rem 1rem;
white-space: nowrap
}
.navbar-dropdown a.navbar-item {
padding-right: 3rem
}
.navbar-dropdown .navbar-item:hover,.navbar-dropdown a.navbar-item:focus {
background-color: #f5f5f5;
color: #0a0a0a
}
.container>.navbar .navbar-brand,.navbar>.container .navbar-brand {
margin-left: -.75rem
}
.container>.navbar .navbar-menu,.navbar>.container .navbar-menu {
margin-right: -.75rem
}
.navbar-item.has-dropdown.is-active .navbar-link,.navbar-item.has-dropdown:focus .navbar-link,.navbar-item.has-dropdown:hover .navbar-link {
background-color: #fafafa
}
}
.column {
display: block;
flex-basis: 0;
flex-grow: 1;
flex-shrink: 1;
}
@media screen and (min-width: 769px),print {
.column.is-12,.column.is-12-tablet {
flex:none;
width: 100%
}
}
.columns {
margin-left: -.75rem;
margin-right: -.75rem;
margin-top: -.75rem
}
.columns:last-child {
margin-bottom: -.75rem
}
.columns:not(:last-child) {
margin-bottom: calc(1.5rem - .75rem)
}
@media screen and (min-width: 769px),print {
.columns:not(.is-desktop) {
display:flex
}
}
.mb-0 {
margin-bottom: 0!important
}
.section {
padding: 0.2rem
}
:root {
--snap-primary: #3072e2;
--snap-secondary: #20bf6b
}
.navbar-item span {
color: #e23030
}
.navbar-brand .navbar-item {
font-weight: 700;
font-size: 1.4rem
}
.title.h1,.title.h2,.title.h3,.title.h4,.title.h5 {
margin-top: 1rem;
margin-bottom: .5em
}
.title.h1 {
font-size: 2em
}
.title.h2 {
font-size: 1.8em
}
.title.h3 {
font-size: 1.6em
}
.title.h4 {
font-size: 1.4em
}
.title.h5 {
font-size: 1.2em
}
main ul {
list-style: circle;
margin-left: 30px
}
i.icon {
display: table-cell;
height: 1em;
width: 1em
}
i.icon-link {
background: url(https://www.savepin.app/images/link.svg) no-repeat center
}
.pd-0 {
padding: 0 .75rem
}
.snapx-app {
background-color: #ecf0f1;
height: auto;
padding: 0;
text-align: center;
line-height: initial
}
.snapx-app img {
max-height: 70px;
max-width: 100%
}
@media (min-width: 768px) {
.snapx-app {
display:none!important
}
}
.app-btn-view,.app-close,.app-img {
display: flex;
align-items: center;
text-align: center
}
.svg-inline--fa {
display: inline-block;
font-size: inherit;
height: 1em;
overflow: visible;
vertical-align: -.125em
}
svg:not(:root).svg-inline--fa {
overflow: visible
}
.snapx-app a {
color: #3172e2;
display: flex
}
.app-info-box {
display: grid;
grid-template-columns: 50px auto
}
.app-btn-view,.app-close,.app-img {
display: flex;
align-items: center;
text-align: center
}
picture.app {
width: 50px;
height: 50px
}
.app-info-box .app-info_info {
margin-left: 8px
}
.app-info-title {
color: #000;
font-size: 16px;
font-weight: 300;
line-height: 1rem
}
.app-info-dev {
color: #6c757d;
font-weight: 300;
font-size: 12px;
line-height: 1rem
}
.app-info-get {
font-size: 12px;
line-height: 1rem;
color: #6c757d;
font-weight: 400
}
.app-btn-view {
justify-content: flex-end
}
.navbar-dropdown ul li {
width: 50%;
display: inline-block
}
.section.inputurl-box {
background-color: #white;
overflow: hidden;
position: relative
}
.inputurl-box .column {
text-align: center;
padding: 21px;
margin: 0 auto
}
.inputurl-box .title {
color: #fff
}
.inputurl-box .title.h1 {
margin-top: 2rem;
font-size: 1.6rem;
margin-bottom: .5rem
}
.inputurl-box .title.h2 {
margin-top: 0;
margin-bottom: 1.5rem;
font-size: 1.1rem;
color: #ecf0f1;
font-weight: 400
}
#msg-error {
display: block
}
.inputurl-box form {
width: 100%;
display: flex;
flex-wrap: wrap;
position: relative;
margin-top: 1rem
}
.button.button-go {
background-color: #0C6439;
border: none;
color: #fff
}
.input.url-input {
padding-left: 2.5em
}
.inputurl-box .icon-link {
color: #dbdbdb;
height: 2.5em;
pointer-events: none;
position: absolute;
top: 0;
left: 0;
width: 2.5em
}
.inputurl-btn__dlbox {
box-sizing: border-box;
overflow: hidden;
position: relative
}
.paste {
height: 2.1em;
pointer-events: unset;
position: absolute;
top: 0;
right: 2px;
z-index: 0;
display: flex;
justify-content: center;
align-items: center
}
.paste.disabled {
display: none
}
.paste span {
display: flex;
cursor: pointer;
padding: .25rem 1rem;
font-size: 14px;
color: #4a4a4a;
background-color: #fff;
align-items: center
}
.icon.icon-clear,.icon.icon-paste {
background: url(https://www.savepin.app/images/paste.svg) no-repeat center;
margin-right: 3px;
width: 14px;
height: 14px
}
i.icon-clear {
background: url('images/times.svg') no-repeat center!important
}
.icon.icon-back,.icon.icon-download {
background: url('https://www.savepin.app/images/download.svg') no-repeat center;
margin-right: 3px!important;
margin-left: 0!important;
width: 16px;
height: 16px
}
.instructions ,.icon.icon-loading {
background: url('https://www.savepin.app/images/spinner.svg') no-repeat center;
margin-right: 3px!important;
margin-left: 0!important;
width: 16px;
height: 16px
}
.instructions p {
margin-bottom: .5rem
}
.alert-instruc {
color: #000;
font-weight: 500
}
.inputurl-container span {
display: flex;
align-items: center;
justify-content: center
}
.notification.is-warning.warning-input {
position: absolute;
top: 0;
right: 0;
transform: translateY(calc(-100% - 5px));
left: 0;
margin: 0;
padding: 8px;
padding-right: 16px;
display: none
}
.notification.is-warning.warning-input.active {
display: block
}
.notification.is-warning.warning-input:after {
content: '';
position: absolute;
left: 1px;
bottom: -5px;
width: 0;
height: 0;
border-left: 8px solid transparent;
border-right: 8px solid transparent;
border-top: 8px solid #ffdd57;
clear: both
}
.notification.warning-input>.delete {
right: .2rem;
top: .2rem
}
.progress-bar {
position: center;
top: 0;
left: 0;
width: 100%;
height: 30px;
display: flex;
flex-wrap: wrap;
align-items: center;
justify-content: center;
z-index: 100;
color: #fff;
display: none
}
.progress-bar.active {
display: flex
}
.spinner-grow {
display: inline-block;
width: 1rem;
height: 1rem;
vertical-align: -.125em;
background-color: currentColor;
border-radius: 50%;
opacity: 0;
-webkit-animation: .75s linear infinite spinner-grow;
animation: .75s linear infinite spinner-grow;
color: #f8f9fa!important
}
.visually-hidden {
position: absolute!important;
width: 1px!important;
height: 1px!important;
padding: 0!important;
margin: -1px!important;
overflow: hidden!important;
clip: rect(0,0,0,0)!important;
white-space: nowrap!important;
border: 0!important
}
@keyframes spinner-grow {
0% {
transform: scale(0)
}
50% {
opacity: 1;
transform: none
}
}
.example span {
word-break: break-all;
color: #6c757d!important;
font-size: .875rem;
color: #d63384!important
}
.ol-decorated {
counter-reset: zone-counter;
margin: 0;
text-align: left;
list-style: none
}
.ol-decorated li {
position: relative;
line-height: 24px;
margin-bottom: 20px;
padding-left: 32px
}
.ol-decorated li:before {
border: 1px solid #337efe;
box-sizing: border-box;
color: #337efe;
content: counter(zone-counter);
counter-increment: zone-counter;
display: block;
height: 25px;
line-height: 24px;
left: 0;
position: absolute;
text-align: center;
width: 25px;
-moz-border-radius: 50%;
-webkit-border-radius: 50%;
border-radius: 50%
}
.btn-click {
color: #262b30;
font-weight: 500
}
.section.download {
padding-top: 0
}
.snaptikvid {
overflow: hidden;
margin-bottom: 10px;
margin-top: 15px
}
.snaptik-left {
padding: 0;
margin: 0;
width: 120px;
position: relative;
float: left
}
.snaptik-left img {
width: 120px;
height: 120px;
border-radius: 16px;
display: block;
object-fit: cover
}
.snaptik-right {
float: right;
width: 250px;
display: none
}
.abuttons {
margin-bottom: 1em;
align-items: center;
display: block
}
.abutton {
display: inline-flex;
border: 1px solid #ddd;
border-radius: 4px;
font-size: 14px;
padding: 5px .75em;
cursor: pointer;
justify-content: center;
text-align: center;
vertical-align: top;
align-items: center;
-webkit-appearance: none;
white-space: nowrap;
background-color: #fff;
display: block;
width: 100%
}
.abutton.is-success {
background-color: #007bff;
color: #fff;
border-color: transparent;
box-shadow: 0 3px 1px -2px rgb(0 0 0 / 20%),0 2px 2px 0 rgb(0 0 0 / 14%),0 1px 5px 0 rgb(0 0 0 / 12%)
}
.btn-secondary {
color: #fff;
background-color: #6c757d;
border-color: #6c757d
}
.btn-secondary:hover {
color: #fff;
background-color: #5c636a;
border-color: #565e64
}
.abuttons .abutton {
margin-bottom: .75rem;
display: inline-block
}
.span-icon {
display: flex;
justify-content: center;
align-items: center
}
.snaptik-middle {
height: 100%;
overflow: hidden;
white-space: nowrap;
text-overflow: ellipsis
}
.snaptik-middle h3 {
font-size: 16px;
font-weight: 600;
margin-bottom: 7px;
margin-left: 7px;
margin-top: 0
}
.snaptikvid .snaptik-middle>* {
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis
}
.snaptik-middle p {
display: inline;
vertical-align: top;
margin-left: 7px;
margin-top: -3px;
color: #333
}
.snaptik-middle .blur {
color: #707570;
font-size: 14px;
font-weight: 400
}
.snaptik-middle .video-time {
display: block
}
.download-block {
margin-top: 16px
}
.columns.footer-link {
display: flex;
flex-wrap: wrap;
font-size: .875rem;
margin-bottom: .5rem
}
.col-heading {
font-size: 1rem;
margin-bottom: 1rem;
color: #5d6778;
font-weight: 700;
line-height: 1.2
}
ul.list-unstyled {
list-style: none;
margin-left: 0
}
footer .footer-link li {
margin-bottom: .5rem;
background-color: transparent
}
footer .footer-link a {
color: #5d6778
}
.columns.footer-link .column {
flex: 0 0 auto;
width: 50%
}
footer .hr {
border-top: 1px solid rgba(0,0,0,.1);
margin-top: 2rem;
margin-bottom: 1rem
}
.follow_us li {
display: inline-block
}
.follow_us li a {
display: inline-block;
width: 28px;
height: 28px
}
.follow_us li:not(:last-child) a {
margin-right: 8px
}
.copyright-text {
text-align: center;
padding: 1.5rem;
border-top: 1px solid rgba(0,0,0,.1)
}
.only-mobile {
display: none
}
.ad-sticky {
position: -webkit-sticky;
position: -moz-sticky;
position: -o-sticky;
position: -ms-sticky;
position: sticky;
bottom: 0;
height: 50px;
width: 100%;
left: 0;
text-align: center;
background-color: #f8f6fb
}
.ad-close {
position: absolute;
top: -24px;
right: 0;
width: 24px;
height: 24px;
content: "";
background-image: url("data:image/svg+xml,%3Csvg role='img' width='16px' height='16px' xmlns='http://www.w3.org/2000/svg' viewBox='0 0 320 512'%3E%3Cpath fill='%23555' d='M207.6 256l107.72-107.72c6.23-6.23 6.23-16.34 0-22.58l-25.03-25.03c-6.23-6.23-16.34-6.23-22.58 0L160 208.4 52.28 100.68c-6.23-6.23-16.34-6.23-22.58 0L4.68 125.7c-6.23 6.23-6.23 16.34 0 22.58L112.4 256 4.68 363.72c-6.23 6.23-6.23 16.34 0 22.58l25.03 25.03c6.23 6.23 16.34 6.23 22.58 0L160 303.6l107.72 107.72c6.23 6.23 16.34 6.23 22.58 0l25.03-25.03c6.23-6.23 6.23-16.34 0-22.58L207.6 256z' class=''%3E%3C/path%3E%3C/svg%3E");
background-repeat: no-repeat;
transition: transform .2s ease-in-out;
box-sizing: border-box;
border-bottom: none;
border-right: none;
background-size: cover;
border: 1px solid rgba(0,0,0,.1);
background-color: #fff;
border-bottom: none;
border-right: 0;
border-top-left-radius: 4px;
z-index: 10000
}
.hidden {
display: none
}
.share-dialog svg {
width: 20px;
height: 20px;
margin-right: 7px
}
.copy-link {
padding-left: 30px;
padding-right: 30px;
margin-left: 7px
}
.share-button {
position: fixed;
width: 40px;
height: 40px;
border-radius: 50%;
line-height: 40px;
border: none;
background-color: #29b76b;
bottom: 80px;
right: 16px;
display: flex;
align-items: center;
justify-content: center;
z-index: 100
}
.box {
background-color: #fff;
border-radius: 6px;
box-shadow: 0 .5em 1em -.125em rgb(10 10 10 / 10%),0 0 0 1px rgb(10 10 10 / 2%);
color: #4a4a4a;
display: block;
padding: 1.25rem
}
.share-dialog header {
display: flex;
justify-content: space-between;
margin-bottom: 20px
}
.targets {
display: grid;
grid-template-rows: 1fr 1fr;
grid-template-columns: 1fr 1fr;
grid-gap: 20px;
margin-bottom: 20px
}
.close-button {
background-color: transparent;
border: none;
padding: 0
}
.close-button svg {
margin-right: 0
}
.link {
display: flex;
justify-content: center;
align-items: center;
padding: 10px;
border-radius: 4px;
background-color: #eee
}
.snap-url {
margin-right: 15px;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap
}
@media only screen and (max-width: 479px) {
.inputurl-box .center {
width:100%
}
.button.button-go {
order: 2;
width: 100%;
margin-top: .5rem;
margin-bottom: .2rem
}
.section.ad-main {
padding: 0;
margin: 0
}
.title.h3 {
font-size: 1.4em;
margin-bottom: .3rem
}
.only-mobile {
display: block
}
}
@media only screen and (max-width: 320px) {
.inputurl-box .title.h2 {
font-size:1rem;
margin-bottom: .5rem
}
.inputurl-box .title.h1 {
margin-top: 1rem;
font-size: 1.4rem
}
.title.h3 {
font-size: 1.2rem
}
}
@media only screen and (min-width: 480px) {
.button.button-go {
margin:0 -1px;
border-bottom-left-radius: 0;
border-top-left-radius: 0;
box-shadow: none;
float: right
}
.inputurl-box .title.h1 {
margin-top: 3rem;
margin-bottom: .5rem;
font-size: 2rem
}
.inputurl-box .title.h2 {
margin-top: .2rem;
margin-bottom: 1rem;
font-size: 1rem
}
.input.url-input {
border-top-right-radius: 0;
border-bottom-right-radius: 0
}
.inputurl-box form {
max-width: 560px;
display: inline-block
}
.is-main .title.h3 {
font-size: 1.4em;
margin-bottom: .2rem
}
.shapes-right::before {
content: "";
width: 300px;
height: 150px;
background: rgba(255,255,255,.1);
position: absolute;
right: -60px;
top: 0;
border-radius: 4px;
-moz-transform: skew(25deg,-10deg);
-o-transform: skew(25deg,-10deg);
-ms-transform: skew(25deg,-10deg);
-webkit-transform: skew(25deg ,-10deg);
transform: skew(25deg ,-10deg);
moz-transform-origin: top left;
-o-transform-origin: top left;
-ms-transform-origin: top left;
-webkit-transform-origin: top left;
transform-origin: top left
}
.shapes-right::after {
content: "";
width: 150px;
height: 600px;
background: rgba(255,255,255,.15);
position: absolute;
right: 0;
top: 30px;
border-radius: 6px;
-moz-transform: skew(25deg,10deg);
-o-transform: skew(25deg,10deg);
-ms-transform: skew(25deg,10deg);
-webkit-transform: skew(25deg ,10deg);
transform: skew(25deg ,10deg);
moz-transform-origin: top left;
-o-transform-origin: top left;
-ms-transform-origin: top left;
-webkit-transform-origin: top left;
transform-origin: top left
}
.shapes-left::before {
content: "";
width: 300px;
height: 150px;
background: rgba(255,255,255,.1);
position: absolute;
left: -90px;
top: 0;
border-radius: 6px;
-moz-transform: skew(25deg,-12deg);
-o-transform: skew(25deg,-12deg);
-ms-transform: skew(25deg,-12deg);
-webkit-transform: skew(25deg ,-12deg);
transform: skew(25deg ,-12deg);
moz-transform-origin: top left;
-o-transform-origin: top left;
-ms-transform-origin: top left;
-webkit-transform-origin: top left;
transform-origin: top left
}
.shapes-left::after {
content: "";
width: 150px;
height: 600px;
background: rgba(255,255,255,.15);
position: absolute;
left: 0;
top: 30px;
border-radius: 4px;
-moz-transform: skew(-25deg,10deg);
-o-transform: skew(-25deg,10deg);
-ms-transform: skew(-25deg,10deg);
-webkit-transform: skew(-25deg ,10deg);
transform: skew(-25deg ,10deg);
moz-transform-origin: top left;
-o-transform-origin: top left;
-ms-transform-origin: top left;
-webkit-transform-origin: top left;
transform-origin: top left
}
.columns.footer-link .column {
width: 25%
}
footer .hr {
margin-top: 3rem;
margin-bottom: 2rem
}
}
@media only screen and (min-width: 1024px) {
.snaptik-right {
display:block
}
.download-block {
display: none
}
.inputurl-box form {
max-width: 630px;
display: inline-block
}
.inputurl-box .title.h1 {
margin-top: 6rem;
font-size: 3rem
}
.inputurl-box .title.h2 {
margin-top: 1rem;
margin-bottom: 1rem;
}
.inputurl-box .columns {
margin-bottom: 2rem
}
}
a.abutton.is-success.abutton-app {
background-color: #48c78e
}
.notification.is-success {
background-color: #d1e7dd;
color: #0f5132;
padding: .5rem 1rem;
border: 1px solid #badbcc;
margin-top: 1.5rem;
text-align: center
}
.ad-main.active {
display: flex;
align-items: center;
position: fixed;
z-index: 1;
left: 0;
top: 0;
width: 100%;
height: 100vh;
overflow: auto;
background-color: #000;
background-color: rgba(10,10,10,.86);
padding-right: 0;
padding-left: 0
}
.ad-main.active .container {
background-color: #fefefe;
padding-bottom: 1.5rem;
margin-top: 51px
}
.mb-3 {
margin-bottom: 1rem
}
.ad-main hr {
margin-bottom: .5rem;
border: none;
border-bottom: 1px solid rgba(0,0,0,.1)
}
.hr-ad.hr-bottom {
margin-bottom: 1rem
}
.ad-main .abutton,.ad-main .notification,.ad-main hr {
display: none
}
.ad-main.active .abutton,.ad-main.active .notification,.ad-main.active hr {
display: block
}
.ad-main.active .ad-boxcontent {
padding-left: 15px;
padding-right: 15px
}
.modalothervideo {
margin-top: 1rem
}
.ad-main .modal-close {
display: none
}
.ad-main.active .modal-close {
display: block
}
</style>
<!--<link rel="preload" as="style" rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">-->
<script>
function myFunction() {
var x = document.getElementById("savepin-menu");
if (x.style.display === "block") {
x.style.display = "none";
} else {
x.style.display = "block";
}
}
</script>
<!--paste id-->
<!--<link rel="preload" as="script" rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/lightbox2/2.11.3/css/lightbox.css" integrity="sha512-Woz+DqWYJ51bpVk5Fv0yES/edIMXjj3Ynda+KWTIkGoynAMHrqTcDUQltbipuiaD5ymEo9520lyoVOo9jCQOCA==" crossorigin="anonymous" referrerpolicy="no-referrer" />-->
<style>
#promo-stripe {
display: flex;
flex-direction: column;
background-color: #FC753D;
color: #fff;
padding: 15px;
box-shadow: 0px 2px 5px rgba(0, 0, 0, 0.1);
}
#promo-stripe p {
font-size: 18px;
margin: 0;
text-align: center;
line-height: 1.5;
}
#install-button {
background-color: #000000;
color: white;
padding: 10px 20px;
font-size: 16px;
border: none;
cursor: pointer;
border-radius: 5px;
margin-top: 10px;
text-decoration: none;
text-align: center;
}
#install-button:hover {
background-color: #363636;
}
@media (min-width: 768px) {
#promo-stripe {
flex-direction: row;
justify-content: space-between;
align-items: center;
}
#promo-stripe p {
text-align: left;
}
}
.column {
display: block;
flex-basis: 0;
flex-grow: 1;
flex-shrink: 1;
padding: 0.75rem;
}
.media {
align-items: flex-start;
display: flex;
text-align: inherit;
}
.media-left {
position: relative;
overflow: hidden;
border-radius: 0.25rem;
}
.media-content {
flex-basis: auto;
flex-grow: 1;
flex-shrink: 1;
text-align: inherit;
padding-left: 20px;
}
.video-des {
overflow: hidden;
text-overflow: ellipsis;
display: -webkit-box;
-webkit-line-clamp: 2;
-webkit-box-orient: vertical;
}
@media screen and (min-width: 769px), print {
.columns:not(.is-desktop) {
display: flex;
/* flex-wrap: wrap; */
flex-direction: column-reverse;
}
}
.table.is-fullwidth {
width: 100%;
}
.table td, .table th {
border: 1px solid #dbdbdb;
border-width: 0 0 1px;
padding: 0.5em 0.75em;
vertical-align: top;
}
.button.is-success {
background-color: #48c774;
border-color: transparent;
color: #fff;
}
.button.is-small:not(.is-rounded) {
border-radius: 2px;
}
.button.is-small {
font-size: .75rem;
}
.button {
background-color: #fff;
border-color: #dbdbdb;
border-width: 1px;
color: #363636;
cursor: pointer;
justify-content: center;
padding-bottom: calc(0.5em - 1px);
padding-left: 1em;
padding-right: 1em;
padding-top: calc(0.5em - 1px);
text-align: center;
white-space: nowrap;
}
.image.is-64x64 {
height: 264px;
width: 76%;
}
.table td, .table th {
border: 1px solid #dbdbdb;
border-width: 0 0 1px;
padding: 0.5em 0.75em;
vertical-align: top;
}
abbr[title] {
text-decoration: none;
text-decoration-line: none;
text-decoration-thickness: none;
text-decoration-style: none;
text-decoration-color: none;
}
</style>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
</head>
<body>
<header>
<div id="navbar">
<nav class="navbar has-shadow is-small" role="navigation" aria-label="main navigation">
<div class="container">
<div class="navbar-brand">
<a class="navbar-item" href="https://www.savepin.app" title="Pinterest Video Downloader">
<img src="../images/logo.webp" height="55px" width="190px" alt="Pinterest video downloader online - savepin">
</a>
<a role="button" class="navbar-burger" aria-label="menu" aria-expanded="false" data-target="savepin-menu" onclick="this.classList.toggle('is-active');
document.getElementById('savepin-menu').classList.toggle('is-active');">
<span aria-hidden="true"></span>
<span aria-hidden="true"></span>
<span aria-hidden="true"></span>
</a>
</div>
<div id="savepin-menu" class="navbar-menu">
<div class="navbar-start"></div>
<div class="navbar-end">
<a href="https://play.google.com/store/apps/details?id=com.savepin.pinterestvideodownload" target="_blank" style="display: flex;text-align: center; align-self: center;font-weight: 600;margin-right: 10px;margin-left: 10px">
<img data-cfsrc="images/android.png" width="30px" height="30px" src="https://www.savepin.app/images/android.png" alt="SavePin Android app">Install App
</a>
<div class="navbar-item has-dropdown is-hoverable">
<div class="navbar-link" style="font-weight: 600">DOWNLOADER
</div>
<div class="navbar-dropdown">
<ul>
<li>
<div class="navbar-item">
<a href="https://www.savepin.app/pinterest-gif-download">Pinterest GIF Downloader</a>
</div>
</li>
<li>
<div class="navbar-item">
<a href="https://www.savepin.app/pinterest-image-download">Pinterest Image Downloader</a>
</div>
</li>
</ul>
</div>
</div>
<div class="navbar-item has-dropdown is-hoverable">
<div class="navbar-link" style="font-weight: 600">LANGUAGE
</div>
<div class="navbar-dropdown">
<ul>
<li>
<div class="navbar-item" data-lang="en">
<a href="https://www.savepin.app">English</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="id">
<a href="/id/">Bahasa Indonesia</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="tr">
<a href="/tr/">Turkish (Turkey)</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="es">
<a href="/es/">Espa ñol</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="fr">
<a href="https://www.savepin.app/fr/">Fran çais</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="ru">
<a href="https://www.savepin.app/ru/">Русский</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="vi">
<a href="https://www.savepin.app/vi/">Tiếng Việt</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="ms">
<a href="https://www.savepin.app/ms/">Bahasa Malaysia</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="jw">
<a href="https://www.savepin.app/jv/">Basa Jawa</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="jw">
<a href="https://www.savepin.app/de/">German</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="jw">
<a href="https://www.savepin.app/it/">Italian</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="jw">
<a href="https://www.savepin.app/pt/">Português</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="hi">
<a href="#">हिंदी</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="hi">
<a href="https://www.savepin.app/th/">Thai</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="zh">
<a href="https://www.savepin.app/zh/">中文(简体)</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="ja">
<a href="https://www.savepin.app/ja/">日本語</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="ar">
<a href="https://www.savepin.app/ar/">عربى</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="ar">
<a href="https://www.savepin.app/af/">Afrikaans</a>
</div>
</li>
<li>
<div class="navbar-item" data-lang="ar">
<a href="https://www.savepin.app/ne/">नेपाली</a>
</div>
</li>
</ul>
</div>
</div>
</div>
</div>
</div>
</nav>
</div>
</header>
<main>
<section class="container p-5" id="instructions"></section>
<section class="section" id="content">
<a class="button is-dark is-small is-fullwidth" onclick="sendEvent('Click_dl_more_videos')" href="/" style="margin-top: 1rem">
<i class="fa fa-angle-left" style="font-size:15px"></i>
Back to Download Page
</a>
<!--vid download form-->
<!--adx-->
<script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js?client=ca-pub-9452189616392028" crossorigin="anonymous"></script>
<!-- download page top - savepin -->
<ins class="adsbygoogle" style="display:block" data-ad-client="ca-pub-9452189616392028" data-ad-slot="8286276759" data-ad-format="auto" data-full-width-responsive="true"></ins>
<script>
(adsbygoogle = window.adsbygoogle || []).push({});
</script>
<section class="section">
<div class="container download-box">
<div class="download-link">
<div class="columns">
<div class="column">
<article class="media">
<figure class="media-left">
<p class="image is-64x64">
<img src="https://i.pinimg.com/originals/fe/de/43/fede43b2208eb8427c0b9668e1f9dfcb.jpg">
</p>
<div class="play-preview" id="previewBtn" onclick="document.getElementById('preview-video').classList.add('is-active');">
<i class="img-sprites icon-preview_play"></i>
</div>
</figure>
<div class="media-content">
<div class="content">
<p>
<strong>Sad quotes</strong>
<span class="video-des"></span>
</p>
</div>
</div>
</article>
</div>
</div>
<div class="columns">
<div class="column is-12">
<table class="table is-fullwidth">
<thead style=" background-color: #3f4244; color: white; ">
<tr>
<th>
<abbr title="Quality">Quality</abbr>
</th>
<th>
<abbr title="Processing">Format</abbr>
</th>
<th>
<abbr title="Download">Download</abbr>
</th>
</tr>
</thead>
<tbody>
<tr>
<td class="video-quality">1080p</td>
<td style="text-transform: uppercase">mp4</td>
<td>
<a id="submiturl" class="button is-success is-small" onclick="setTimeout(function(){window.location.href='https://www.savepin.app/'}, 10000);" href="force-save.php?url=https%3A%2F%2Fv1.pinimg.com%2Fvideos%2Fmc%2F720p%2F37%2F79%2F96%2F37799646371cb5bbd9724a542343d3f8.mp4" download>Download</a>
</td>
</tr>
<tr>
<td class="video-quality">736x[HD]</td>
<td>JPG/PNG</td>
<td>
<a id="submiturl" class="button is-success is-small" onclick="setTimeout(function(){window.location.href='https://www.savepin.app/'}, 10000);" href="force-save.php?url=https%3A%2F%2Fi.pinimg.com%2Foriginals%2Ffe%2Fde%2F43%2Ffede43b2208eb8427c0b9668e1f9dfcb.jpg" download>Download</a>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<!--savepin app prommtion-->
<div id="promo-stripe">
<p>Enhance video downloading with our 🚀 Ads-Free Pinterest Downloader App! 🎉</p>
<a href="https://play.google.com/store/apps/details?id=com.savepin.pinterestvideodownload" id="install-button" target="_blank">Install App</a>
</div>
<!-- end savepin app prommtion-->
<!--adsene-->
<script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js?client=ca-pub-9452189616392028" crossorigin="anonymous"></script>
<!-- Download page bottom savepin -->
<ins class="adsbygoogle" style="display:block" data-ad-client="ca-pub-9452189616392028" data-ad-slot="9332830775" data-ad-format="auto" data-full-width-responsive="true"></ins>
<script>
(adsbygoogle = window.adsbygoogle || []).push({});
</script>
<!--adsence ad-->
</div>
</div>
</section>
</section>
</main>
<footer>
<section class="section copyright pd-0" style="margin-top:50px;">
<div class="container">
<div class="columns">
<div class="column pd-0">
<div class="copyright-text">
Copyright ©2023 <a href="https://www.savepin.app" title="Save Pin">SavePin.APP</a>
. All rights reserved. | <a href="/blog/" title="Blog">Blog</a>
| <a href="https://www.savepin.app/contact-us" title="Contact Us">Contact Us</a>
| <a href="/privacy-policy" title="Privacy Policy">Privacy Policy</a>
| <a href="https://www.savepin.app/terms-of-services" title="Terms of Services">Terms of Services</a>
| <a href="https://play.google.com/store/apps/details?id=sss.wawbstatussaver" title="Whatsapp Status Download">Whatsapp Status Download App</a>
</div>
<p style="text-align: center;">Follow us: </p>
<div class="social-buttons">
<a href="https://www.facebook.com/savepintool" title="Facebook" style=" padding: 5px; " style=" padding: 5px; ">Facebook</a>
</i></a><a href="https://twitter.com/savepintool" title="Twitter" style=" padding: 5px; ">Twitter
</i></a><a href="https://in.pinterest.com/savefasttool/" title="Pinterest" style=" padding: 5px; ">Pinterest
</i></a><a href="https://www.youtube.com/@savepin" title="Youtube" style=" padding: 5px; ">Youtube
</i></a></div><style>
.social-buttons {
display: flex;
justify-content: center;
}
.btn {
display: inline-flex;
align-items: center;
justify-content: center;
color: #fff;
background-color: #3b5998;
border-radius: 10px;
padding: 8px 15px;
margin: 10px;
text-decoration: none;
font-weight: bold;
transition: all 0.3s ease;
}
.btn:hover {
background-color: #2d4373;
}
.facebook {
background-color: #3b5998;
}
.twitter {
background-color: #00acee;
}
.instagram {
background-color: #e4405f;
}
</style>
</div></div></div></section></footer><script type="text/javascript">
navigator.clipboard && document.getElementById("paste").classList.remove("disabled");
function copyLink(e) {
var n = document.body.appendChild(document.createElement("input"));
n.value = window.location.href,
n.focus(),
n.select(),
document.execCommand("copy"),
n.parentNode.removeChild(n),
document.querySelector(".copy-link").innerText = "URL Copied.",
sendEvent("share_copy_link")
}
</script>
<script>
const pasteButton = document.getElementById('paste');
const inputBox = document.getElementById('url');
pasteButton.addEventListener('click', ()=>{
navigator.clipboard.readText().then(text=>{
inputBox.value = text;
}
).catch(error=>{
console.error('Error pasting text: ', error);
}
);
}
);
</script>
<script>
const downloadButton = document.getElementById('submiturl');
const progressBar = document.getElementById('progress-bar');
downloadButton.addEventListener('click', ()=>{
// Simulate download process
let progress = 1;
const interval = setInterval(()=>{
progressBar.innerHTML = `${progress}%`;
progress++;
if (progress === 100) {
clearInterval(interval);
progressBar.innerHTML = 'Downloading';
}
}
, 80);
// Update progress every 50ms
// Display progress bar after 500ms
setTimeout(()=>{
progressBar.style.display = 'block';
}
, 9000);
}
);
</script>
</body></html>
"
|
ad9b73699a87752684901cbae149023f
|
{
"intermediate": 0.31960630416870117,
"beginner": 0.4205849766731262,
"expert": 0.2598087191581726
}
|
39,967
|
<a href="{{ url_for('gestion_score', id_comp=competition.idComp)}}">Gestion score</a>
@app.route("/gestion_score/<int:id_comp>/<int:id_type_match>/")
def gestion_score(id_comp, id_type_match=1, liste_absents=[]): # par défaut renvoie à la phase des poules il faut vérifier ça
# récuperer les infos des poules dans un dict avec le numéro de poule en clé et la liste des tireurs,le nom de la piste, le nom de l'arbitre en valeur
poules = {}
nb_poules = get_nb_poules(id_comp)
for i in range(1, nb_poules+1):
poules[i] = {}
tireurs_club = {} # dict avec le tireur en clé et le nom du club en valeur
for tireur in get_liste_tireurs_escrimeurs_poule(id_comp, i):
tireurs_club[tireur] = get_club_tireur_escrimeur(tireur).nomClub
poules[i]['tireurs'] = tireurs_club
poules[i]['piste'] = get_piste_poule(id_comp, i)
poules[i]["id_arbitre"] = get_id_arbitre_poule(id_comp, i)
poules[i]["stats"] = get_poule_stats(i)
poules[i]["matchs"] = get_matchs_poules(i, id_comp)
poules[i]['arbitre'] = get_arbitre_escrimeur_poule(id_comp, i).nomE + " " + get_arbitre_escrimeur_poule(id_comp, i).prenomE
for num_poule in range(1, nb_poules + 1):
matches = get_matchs_poules(num_poule, id_comp)
scores = {}
print("avant")
for match in matches:
match_found = get_match(match.numeroLicenceE1, match.numeroLicenceE2, num_poule, id_comp)
print(match_found)
if match_found:
scores[(match_found.numeroLicenceE1, match_found.numeroLicenceE2)] = {
'touchesDonneesTireur1': match_found.touchesDonneesTireur1,
'touchesRecuesTireur2': match_found.touchesRecuesTireur2
}
scores[(match_found.numeroLicenceE2, match_found.numeroLicenceE1)] = {
'touchessDonneesTireur2': match_found.touchesDonneesTireur2,
'touchesRecuesTireur1': match_found.touchesRecuesTireur1
}
print(scores)
poules[num_poule]['scores'] = scores
liste_absents_dico = []
if liste_absents != []:
for dict_tireur in liste_absents:
tireur = Tireur.query.get(dict_tireur['numeroLicenceE'])
if tireur is not None:
tireur.append(tireur)
liste_absents_dico.append(tireur)
return render_template('gestion_score.html', poules=poules, id_comp=id_comp, list_absents=liste_absents_dico, id_type_match=1)
{% extends 'base.html' %} {% block content %}
<link
rel="stylesheet"
href="{{ url_for('static', filename='gestion_participants.css') }}"
/>
<script>
var nbParticipantsBlois = {{ nb_participants_blois }};
var nbParticipantsOther = {{ nb_participants_other }};
var nbParticipantsArb = {{ participants_arb|length }};
var competitionId = {{ competition.idComp }};
var competitionGender = "{{ competition.sexeComp }}";
</script>
<script src="{{ url_for('static', filename='js/condCompetValide.js') }}"></script>
<script src="{{ url_for('static', filename='js/gestionParticipant.js') }}"></script>
<script src="{{ url_for('static', filename='js/editField.js') }}"></script>
<div class="progress-bar">
<a class="active-url" href="{{ url_for('ajout_comp_page')}}">Définir une compétition</a>
<img class="fleche-bar" src="../static/img/fleche.png" alt="fleche" />
<a class="active-url" href="{{ url_for('gestion_participants', id_comp=competition.idComp)}}">Gestion participants</a>
<img class="fleche-bar" src="../static/img/fleche.png" alt="fleche" />
<a href="{{ url_for('gestion_poules', id_comp=competition.idComp)}}">Créer les poules</a>
<img class="fleche-bar" src="../static/img/fleche.png" alt="fleche" />
<a href="{{ url_for('appel', id_comp=competition.idComp)}}">Appel</a>
<img class="fleche-bar" src="../static/img/fleche.png" alt="fleche" />
<a href="{{ url_for('gestion_score', id_comp=competition.idComp)}}">Gestion score</a>
<img class="fleche-bar" src="../static/img/fleche.png" alt="fleche" />
<a href="{{ url_for('afficher_score_poule', id_comp=competition.idComp)}}">Classement Final</a>
</div>
<section class="content">
<section class="section-infopr">
<div class="infotitre">
<h2>INFORMATIONS PRINCIPALE</h2>
</div>
<section class="infopr">
<div class="labelp">
<p>Titre :</p>
<p>Organisateur :</p>
<p>Lieu :</p>
<p>Date :</p>
<p>Heure :</p>
</div>
<div class="valeurp">
<p id="nomComp">{{ competition.nomComp }}</p>
<p id="descComp">{{ competition.descComp }}</p>
<p id="lieu">{{ competition.lieu.nomLieu }}</p>
<p id="dateComp">{{ competition.dateComp }}</p>
<p id="heureComp">{{ competition.heureComp }}</p> <!-- Nouvelle ligne pour l'heure -->
</div>
<div class="actionsp">
<img src="{{ url_for('static', filename='../static/img/edit.png') }}" onclick="editField('nomComp')" />
<img src="{{ url_for('static', filename='../static/img/edit.png') }}" onclick="editField('descComp')" />
<img src="{{ url_for('static', filename='../static/img/edit.png') }}" onclick="editField('lieu')" />
<img src="{{ url_for('static', filename='../static/img/edit.png') }}" onclick="editField('dateComp')" />
<img src="{{ url_for('static', filename='../static/img/edit.png') }}" onclick="editField('heureComp')" /> <!-- Nouvelle ligne pour l'heure -->
</div>
</section>
</section>
<section class="gestion-participants">
<div class="infotitre">
<h2>GESTION PARTICIPANTS</h2>
</div>
<section class="container-section-participants">
<section class="escrimeblois">
<div class="subtitreparticipant">
<h3>Tireurs du Club de l’Escrime de Blois</h3>
<p class="nb">{{ nb_participants_blois }}</p>
</div>
<div class="gestion-participants-list">
{% if participants_blois %}
{% for participant in participants_blois %}
<div class="gestionp">
<div class="participant">
<p>{{ participant.Escrimeur.prenomE }}</p>
<p>{{ participant.Escrimeur.nomE }}</p>
<p>|</p>
<p>{{ participant.Categorie.nomCategorie }}</p>
</div>
<div class="suppd">
<form action="{{ url_for('delete_participant', id_comp = competition.idComp,id=participant.Escrimeur.numeroLicenceE) }}" method="post">
<button style="font-size: 30px" type="submit">-</button>
</form>
</div>
</div>
{% endfor %} {% else %}
<p class="nullparticipant">Aucun participant de l'escrime de Blois</p>
{% endif %}
<div class="addp">
<button style="font-size: 30px">+</button>
<div class="submenu" style="display: none;">
<input type="text" class="search" placeholder="Rechercher…">
<ul class="escrimeurs-list"></ul>
</div>
</div>
</div>
</div>
</section>
<section class="escrime-other">
<div class="subtitreparticipant">
<h3>Tireurs d’autres club</h3>
<p class="nb">{{ nb_participants_other }}</p>
</div>
<div class="gestion-participants-list">
{% if participants_other %}
{% for participant in participants_other %}
<div class="gestionp">
<div class="participant">
<p>{{ participant.Escrimeur.prenomE }}</p>
<p>{{ participant.Escrimeur.nomE }}</p>
<p>|</p>
<p>{{ participant.Categorie.nomCategorie }}</p>
</div>
<div class="suppd">
<form action="{{ url_for('delete_participant', id_comp = competition.idComp,id=participant.Escrimeur.numeroLicenceE) }}" method="post">
<button style="font-size: 30px" type="submit">-</button>
</form>
</div>
</div>
{% endfor %}{% else %}
<p class="nullparticipant">Aucun participant d'autres clubs</p>
{% endif %}
<div class="addp">
<button style="font-size: 30px">+</button>
<div class="submenu" style="display: none;">
<input type="text" class="search" placeholder="Rechercher…">
<ul class="escrimeurs-list"></ul>
</div>
</div>
</section>
<section class="escrime-arb">
<div class="subtitreparticipant">
<h3>Arbitres</h3>
<p class="nb">{{ nb_participants_arb }}</p>
</div>
<div class="gestion-participants-list">
{% if participants_arb %}
{% for arbitre, escrimeur, categorie in participants_arb %} <div class ="gestionp">
<div class="participant">
<p>{{ escrimeur.prenomE }}</p>
<p>{{ escrimeur.nomE }}</p>
<p>|</p>
<p>{{ escrimeur.categorie.nomCategorie }}</p>
</div>
<div class="suppd">
<form
action="{{ url_for('delete_arbitre', id_comp = competition.idComp,id_arbitre=arbitre.idArbitre) }}"
method="post"
>
<button style="font-size: 30px" type="submit">-</button>
</form>
</div>
</div>
{% endfor %}
{% else %}
<p class = "nullparticipant">Aucun arbitres pour le moment</p>
{% endif %}
<div class="addp">
<button style="font-size: 30px">+</button>
<div class="submenu" style="display: none;">
<input type="text" class="search" placeholder="Rechercher…">
<ul class="escrimeurs-list"></ul>
</div>
</div>
</section>
</section>
</section>
<div class="center">
<div class="btndiv">
<a href="{{ url_for('home_default') }}" class="btn-annuler">ANNULER</a>
<a href="{{ url_for('gestion_poules', id_comp = competition.idComp) }}" class="btn-publier"
>CREER LES POULES</a
>
</div>
</div>
{% endblock %}
</section>
|
21748e1019fe7f34d59d3541c8a6ae33
|
{
"intermediate": 0.3579134941101074,
"beginner": 0.48647254705429077,
"expert": 0.155613973736763
}
|
39,968
|
hello
|
690b6b31360e175fd8a54e157ec0d7f7
|
{
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
}
|
39,969
|
i have a computer vision system tied to google’s firestore firebase and we have developed an app to also display the number of people detected by the cv to the web app and the database for this is google’s firebase firestore. assume that on my CV the uuid for firestore that we placed is “Detections” so in the firestore firebase every person detected is stored on the Detections collection.
this is my svelte web app
<script>
import terminalCapacity from ‘…/database/maxNumberOfPeople’;
import people from “…/database/getTotalNumberOfPeople”
import units from “…/database/getTotalNumberOfUnits”;
import maxOccupants from “…/database/maxNumberOfOccupants”
import { onDestroy } from “svelte”;
import Carousel from “svelte-carousel”;
let up = 0
let down = 0
let colorClass = “”;
let ratio
let maximumOccupants = maxOccupants
let totalNumberOfPeopleArray =people
let totalNumberOfUnitsArray = units
let maxTerminalCapacity =terminalCapacity
function getCrowdnessIndicator(){
const numPeople = down - up;
const numCars = totalNumberOfUnitsArray.filter((unit) => unit.status === “In Queue”).length
//Check if variable exists. If not, set default value
const maximumOccupantsVal = maximumOccupants.MaxOccupants ?? 0
const maxTerminalCapacityVal = maxTerminalCapacity.MaxNumberOfPeople ?? 0
const remainingPeople = numPeople - (numCars * maximumOccupantsVal)
ratio = remainingPeople / maxTerminalCapacityVal
if (ratio >= 0.7) {
colorClass = “bg-red-500”;
} else if (ratio >= 0.4) {
colorClass = “bg-yellow-500”;
} else {
colorClass = “bg-green-500”;
}
}
// Subscribe to the num store and update the component when the value changes
const unsubscribeOccupants = maxOccupants.subscribe((value) => {
maximumOccupants = value;
getCrowdnessIndicator()
});
// Subscribe to the num store and update the component when the value changes
const unsubscribeCapacity = terminalCapacity.subscribe((value) => {
maxTerminalCapacity = value;
getCrowdnessIndicator()
});
// Subscribe to the num store and update the component when the value changes
const unsubscribeUnits = units.subscribe((value) => {
totalNumberOfUnitsArray = value;
getCrowdnessIndicator()
});
// Subscribe to the num store and update the component when the value changes
const unsubscribePeople = people.subscribe((value) => {
totalNumberOfPeopleArray = value;
up = 0
down = 0
for(const person of totalNumberOfPeopleArray){
if(person.Direction === “up”){
up++
}
if(person.Direction === “down”){
down++
}
}
getCrowdnessIndicator()
});
// Don’t forget to unsubscribe when the component is destroyed
onDestroy(() => {
unsubscribeOccupants()
unsubscribeUnits()
unsubscribePeople()
unsubscribeCapacity()
});
let images = [
{ src: “images/byday.png”, alt: “Average Passenger per Day”, description: “According to the analysis of our current data trend, it has been observed that Monday records the highest average passenger count among all the days of the week. The visual representation of the data demonstrates that the average number of passengers on Monday amounts to approximately 350 per day.” },
{ src: “images/byhour.png”, alt: “Average Passenger per Hour”, description: “As per the analysis of our current data trend, it has been observed that the time slot of 7:00 to 7:59 AM on Mondays records the highest average passenger count by hour of the day. The visual representation of the data illustrates that during this time slot, the average number of passengers on Mondays amounts to approximately 60 plus per day. This information provides valuable insights into the peak hours of passenger traffic on Mondays, which can be useful for commuters to plan their travel accordingly.” },
{ src: “images/byhourtues.png”, alt: “Average Passenger per Hour”, description: “Based on the analysis of our current data trend, it can be observed that the time window of 8:00 to 8:59 AM on Tuesdays experiences the highest average passenger count per hour of the day. The accompanying visual representation of the data shows that the average number of passengers during this period on Tuesdays is approximately 40 plus per day. These insights into the peak hours of passenger traffic on Tuesdays can prove to be beneficial for commuters in planning their journeys and avoiding congestion during rush hour.” },
{ src: “images/byhourwed.png”, alt: “Average Passenger per Hour”, description: “On Wednesdays, the time slot of 8:00 to 8:59 AM records the highest average passenger count per hour of the day, with approximately 30 plus passengers on average during this period, as indicated by the accompanying visual representation based on our current data trend. These insights can assist commuters in avoiding peak congestion and planning their travel accordingly.” },
{ src: “images/byhourthurs.png”, alt: “Average Passenger per Hour”, description: “Similarly, on Thursdays and Fridays, the time frame of 8:00 to 8:59 AM experiences the highest average passenger count per hour of the day, with approximately 35 plus passengers on average during this period, as illustrated by the accompanying visual representation based on our current data trend. Commuters can use this information to plan their travel and avoid peak congestion during these days and hours.” },
{ src: “images/byhourfri.png”, alt: “Average Passenger per Hour”, description: “Similarly, on Thursdays and Fridays, the time frame of 8:00 to 8:59 AM experiences the highest average passenger count per hour of the day, with approximately 35 plus passengers on average during this period, as illustrated by the accompanying visual representation based on our current data trend. Commuters can use this information to plan their travel and avoid peak congestion during these days and hours.” },
{ src: “images/l3.png” , alt: “Average Passenger per Hour”, description: “The L300 Van is a reliable and efficient public utility vehicle used for public transportation. It has a spacious and comfortable interior, capable of accommodating up to 16 passengers. Equipped with a powerful and fuel-efficient engine, the L300 Van can handle various road conditions with ease. Its durable and sturdy build ensures safe and secure transportation for commuters. With its accessibility and affordability, the L300 Van is a popular choice for public transportation in urban and rural areas.” },
{ src: “images/forecast.png” , alt: “Average Passenger per Hour”, description: “This data visualization displays the results of a forecasting analysis performed on the current dataset using the fbprophet algorithm. The forecast extends to 100 days in the future and pertains to the average daily passenger count at a public utility terminal. The graphical representation of the forecasting results allows for easy comprehension and interpretation, enabling stakeholders to make informed decisions based on the anticipated passenger traffic.” },
];
let byhour= [
{ src: “images/avebyhour.png”, alt: “Average Passenger per Hour”, description: “As per the analysis of our current data trend, it has been observed that the time slot of 7:00 to 7:59 AM on Mondays records the highest average passenger count by hour of the day. The visual representation of the data illustrates that during this time slot, the average number of passengers on Mondays amounts to approximately 60 plus per day. This information provides valuable insights into the peak hours of passenger traffic on Mondays, which can be useful for commuters to plan their travel accordingly.” },
{ src: “images/byhour.png”, alt: “Average Passenger per Hour”, description: “As per the analysis of our current data trend, it has been observed that the time slot of 7:00 to 7:59 AM on Mondays records the highest average passenger count by hour of the day. The visual representation of the data illustrates that during this time slot, the average number of passengers on Mondays amounts to approximately 60 plus per day. This information provides valuable insights into the peak hours of passenger traffic on Mondays, which can be useful for commuters to plan their travel accordingly.” },
{ src: “images/byhourtues.png”, alt: “Average Passenger per Hour”, description: “Based on the analysis of our current data trend, it can be observed that the time window of 8:00 to 8:59 AM on Tuesdays experiences the highest average passenger count per hour of the day. The accompanying visual representation of the data shows that the average number of passengers during this period on Tuesdays is approximately 40 plus per day. These insights into the peak hours of passenger traffic on Tuesdays can prove to be beneficial for commuters in planning their journeys and avoiding congestion during rush hour.” },
{ src: “images/byhourwed.png”, alt: “Average Passenger per Hour”, description: “On Wednesdays, the time slot of 8:00 to 8:59 AM records the highest average passenger count per hour of the day, with approximately 30 plus passengers on average during this period, as indicated by the accompanying visual representation based on our current data trend. These insights can assist commuters in avoiding peak congestion and planning their travel accordingly.” },
{ src: “images/byhourthurs.png”, alt: “Average Passenger per Hour”, description: “Similarly, on Thursdays and Fridays, the time frame of 8:00 to 8:59 AM experiences the highest average passenger count per hour of the day, with approximately 35 plus passengers on average during this period, as illustrated by the accompanying visual representation based on our current data trend. Commuters can use this information to plan their travel and avoid peak congestion during these days and hours.” },
{ src: “images/byhourfri.png”, alt: “Average Passenger per Hour”, description: “Similarly, on Thursdays and Fridays, the time frame of 8:00 to 8:59 AM experiences the highest average passenger count per hour of the day, with approximately 35 plus passengers on average during this period, as illustrated by the accompanying visual representation based on our current data trend. Commuters can use this information to plan their travel and avoid peak congestion during these days and hours.” },
];
let predbyhour= [
{ src: “images/avepredbyhour.png”, alt: “Average Passenger per Hour”, description: “As per the analysis of our current data trend, it has been observed that the time slot of 7:00 to 7:59 AM on Mondays records the highest average passenger count by hour of the day. The visual representation of the data illustrates that during this time slot, the average number of passengers on Mondays amounts to approximately 60 plus per day. This information provides valuable insights into the peak hours of passenger traffic on Mondays, which can be useful for commuters to plan their travel accordingly.” },
{ src: “images/predbyhourmon.png”, alt: “Average Passenger per Hour”, description: “As per the analysis of our current data trend, it has been observed that the time slot of 7:00 to 7:59 AM on Mondays records the highest average passenger count by hour of the day. The visual representation of the data illustrates that during this time slot, the average number of passengers on Mondays amounts to approximately 60 plus per day. This information provides valuable insights into the peak hours of passenger traffic on Mondays, which can be useful for commuters to plan their travel accordingly.” },
{ src: “images/predbyhourtues.png”, alt: “Average Passenger per Hour”, description: “Based on the analysis of our current data trend, it can be observed that the time window of 8:00 to 8:59 AM on Tuesdays experiences the highest average passenger count per hour of the day. The accompanying visual representation of the data shows that the average number of passengers during this period on Tuesdays is approximately 40 plus per day. These insights into the peak hours of passenger traffic on Tuesdays can prove to be beneficial for commuters in planning their journeys and avoiding congestion during rush hour.” },
{ src: “images/predbyhourwed.png”, alt: “Average Passenger per Hour”, description: “On Wednesdays, the time slot of 8:00 to 8:59 AM records the highest average passenger count per hour of the day, with approximately 30 plus passengers on average during this period, as indicated by the accompanying visual representation based on our current data trend. These insights can assist commuters in avoiding peak congestion and planning their travel accordingly.” },
{ src: “images/predbyhourthur.png”, alt: “Average Passenger per Hour”, description: “Similarly, on Thursdays and Fridays, the time frame of 8:00 to 8:59 AM experiences the highest average passenger count per hour of the day, with approximately 35 plus passengers on average during this period, as illustrated by the accompanying visual representation based on our current data trend. Commuters can use this information to plan their travel and avoid peak congestion during these days and hours.” },
{ src: “images/predbyhourfri.png”, alt: “Average Passenger per Hour”, description: “Similarly, on Thursdays and Fridays, the time frame of 8:00 to 8:59 AM experiences the highest average passenger count per hour of the day, with approximately 35 plus passengers on average during this period, as illustrated by the accompanying visual representation based on our current data trend. Commuters can use this information to plan their travel and avoid peak congestion during these days and hours.” },
];
let aveandpredbyday= [
{ src: “images/byday.png”, alt: “Average Passenger per Day”, description: “According to the analysis of our current data trend, it has been observed that Monday records the highest average passenger count among all the days of the week. The visual representation of the data demonstrates that the average number of passengers on Monday amounts to approximately 350 per day.” },
{ src: “images/avepredday.png”, alt: “Average Passenger per Day”, description: “According to the analysis of our current data trend, it has been observed that Monday records the highest average passenger count among all the days of the week. The visual representation of the data demonstrates that the average number of passengers on Monday amounts to approximately 350 per day.” },
];
</script>
<br>
<br>
<br>
<br>
<div class=“heading”>
<h2 class=“text-2xl font-bold mb-4”>Home</h2>
</div>
<div class=“flex flex-col items-center justify-center h-28 px-4 bg-gray-200 text-gray-800”>
<div class=“flex items-center”>
<span class=“mr-2 font-bold”>Current people:</span>
<span class=“font-medium”>{$people}</span>
</div>
<div class=“flex items-center mt-1”>
<span class=“mr-2 font-bold”>Terminal Status:</span>
<span>
<div class=“flex items-center”>
<span class=“h-3 w-3 rounded-full mr-2 {colorClass}”></span>
<div class=“text-gray-800 font-medium”>
{#if ratio >= 0.7}
Crowded
{:else if ratio >= 0.4}
Slightly Crowded
{:else}
Not crowded
{/if}
</div>
</div>
</span>
</div>
</div>
this is my .js file for firebase database
import { collection, getDocs, onSnapshot } from “firebase/firestore”;
import db from “…/auth/firestore”
import { writable } from “svelte/store”;
export let people = writable(0)
async function getTotalNumberOfPeople() {
let totalCount = []
const querySnapshot = await getDocs(collection(db, “Detections”));
if(querySnapshot){
querySnapshot.forEach((doc) => {
totalCount.push(JSON.parse(JSON.stringify(doc.data())))
})
}
return totalCount
}
// Set up a realtime listener to update the reactive store whenever there is new data
onSnapshot(collection(db, “Detections”), (snapshot) => {
people.set(snapshot.size); // updates the people count, snapshot.size gives the current number of documents
}, error => {
console.error(error);
});
getTotalNumberOfPeople().then((out) => {
if(out){
people.set(out)
}
});
setPeople()
export default people
so will my website app display the number of people detected and be reactive for changes as well in real time?
|
2c1ef9060edb36da5929a43a17548cbb
|
{
"intermediate": 0.40091848373413086,
"beginner": 0.24428041279315948,
"expert": 0.35480111837387085
}
|
39,970
|
i have a computer vision system tied to google’s firestore firebase and we have developed an app to also display the number of people detected by the cv to the web app and the database for this is google’s firebase firestore. assume that on my CV the uuid for firestore that we placed is “Detections” so in the firestore firebase every person detected is stored on the Detections collection.
this is my svelte web app
<script>
import terminalCapacity from ‘…/database/maxNumberOfPeople’;
import people from “…/database/getTotalNumberOfPeople”
import units from “…/database/getTotalNumberOfUnits”;
import maxOccupants from “…/database/maxNumberOfOccupants”
import { onDestroy } from “svelte”;
import Carousel from “svelte-carousel”;
let up = 0
let down = 0
let colorClass = “”;
let ratio
let maximumOccupants = maxOccupants
let totalNumberOfPeopleArray =people
let totalNumberOfUnitsArray = units
let maxTerminalCapacity =terminalCapacity
function getCrowdnessIndicator(){
const numPeople = down - up;
const numCars = totalNumberOfUnitsArray.filter((unit) => unit.status === “In Queue”).length
//Check if variable exists. If not, set default value
const maximumOccupantsVal = maximumOccupants.MaxOccupants ?? 0
const maxTerminalCapacityVal = maxTerminalCapacity.MaxNumberOfPeople ?? 0
const remainingPeople = numPeople - (numCars * maximumOccupantsVal)
ratio = remainingPeople / maxTerminalCapacityVal
if (ratio >= 0.7) {
colorClass = “bg-red-500”;
} else if (ratio >= 0.4) {
colorClass = “bg-yellow-500”;
} else {
colorClass = “bg-green-500”;
}
}
// Subscribe to the num store and update the component when the value changes
const unsubscribeOccupants = maxOccupants.subscribe((value) => {
maximumOccupants = value;
getCrowdnessIndicator()
});
// Subscribe to the num store and update the component when the value changes
const unsubscribeCapacity = terminalCapacity.subscribe((value) => {
maxTerminalCapacity = value;
getCrowdnessIndicator()
});
// Subscribe to the num store and update the component when the value changes
const unsubscribeUnits = units.subscribe((value) => {
totalNumberOfUnitsArray = value;
getCrowdnessIndicator()
});
// Subscribe to the num store and update the component when the value changes
const unsubscribePeople = people.subscribe((value) => {
totalNumberOfPeopleArray = value;
up = 0
down = 0
for(const person of totalNumberOfPeopleArray){
if(person.Direction === “up”){
up++
}
if(person.Direction === “down”){
down++
}
}
getCrowdnessIndicator()
});
// Don’t forget to unsubscribe when the component is destroyed
onDestroy(() => {
unsubscribeOccupants()
unsubscribeUnits()
unsubscribePeople()
unsubscribeCapacity()
});
let images = [
{ src: “images/byday.png”, alt: “Average Passenger per Day”, description: “According to the analysis of our current data trend, it has been observed that Monday records the highest average passenger count among all the days of the week. The visual representation of the data demonstrates that the average number of passengers on Monday amounts to approximately 350 per day.” },
{ src: “images/byhour.png”, alt: “Average Passenger per Hour”, description: “As per the analysis of our current data trend, it has been observed that the time slot of 7:00 to 7:59 AM on Mondays records the highest average passenger count by hour of the day. The visual representation of the data illustrates that during this time slot, the average number of passengers on Mondays amounts to approximately 60 plus per day. This information provides valuable insights into the peak hours of passenger traffic on Mondays, which can be useful for commuters to plan their travel accordingly.” },
{ src: “images/byhourtues.png”, alt: “Average Passenger per Hour”, description: “Based on the analysis of our current data trend, it can be observed that the time window of 8:00 to 8:59 AM on Tuesdays experiences the highest average passenger count per hour of the day. The accompanying visual representation of the data shows that the average number of passengers during this period on Tuesdays is approximately 40 plus per day. These insights into the peak hours of passenger traffic on Tuesdays can prove to be beneficial for commuters in planning their journeys and avoiding congestion during rush hour.” },
{ src: “images/byhourwed.png”, alt: “Average Passenger per Hour”, description: “On Wednesdays, the time slot of 8:00 to 8:59 AM records the highest average passenger count per hour of the day, with approximately 30 plus passengers on average during this period, as indicated by the accompanying visual representation based on our current data trend. These insights can assist commuters in avoiding peak congestion and planning their travel accordingly.” },
{ src: “images/byhourthurs.png”, alt: “Average Passenger per Hour”, description: “Similarly, on Thursdays and Fridays, the time frame of 8:00 to 8:59 AM experiences the highest average passenger count per hour of the day, with approximately 35 plus passengers on average during this period, as illustrated by the accompanying visual representation based on our current data trend. Commuters can use this information to plan their travel and avoid peak congestion during these days and hours.” },
{ src: “images/byhourfri.png”, alt: “Average Passenger per Hour”, description: “Similarly, on Thursdays and Fridays, the time frame of 8:00 to 8:59 AM experiences the highest average passenger count per hour of the day, with approximately 35 plus passengers on average during this period, as illustrated by the accompanying visual representation based on our current data trend. Commuters can use this information to plan their travel and avoid peak congestion during these days and hours.” },
{ src: “images/l3.png” , alt: “Average Passenger per Hour”, description: “The L300 Van is a reliable and efficient public utility vehicle used for public transportation. It has a spacious and comfortable interior, capable of accommodating up to 16 passengers. Equipped with a powerful and fuel-efficient engine, the L300 Van can handle various road conditions with ease. Its durable and sturdy build ensures safe and secure transportation for commuters. With its accessibility and affordability, the L300 Van is a popular choice for public transportation in urban and rural areas.” },
{ src: “images/forecast.png” , alt: “Average Passenger per Hour”, description: “This data visualization displays the results of a forecasting analysis performed on the current dataset using the fbprophet algorithm. The forecast extends to 100 days in the future and pertains to the average daily passenger count at a public utility terminal. The graphical representation of the forecasting results allows for easy comprehension and interpretation, enabling stakeholders to make informed decisions based on the anticipated passenger traffic.” },
];
let byhour= [
{ src: “images/avebyhour.png”, alt: “Average Passenger per Hour”, description: “As per the analysis of our current data trend, it has been observed that the time slot of 7:00 to 7:59 AM on Mondays records the highest average passenger count by hour of the day. The visual representation of the data illustrates that during this time slot, the average number of passengers on Mondays amounts to approximately 60 plus per day. This information provides valuable insights into the peak hours of passenger traffic on Mondays, which can be useful for commuters to plan their travel accordingly.” },
{ src: “images/byhour.png”, alt: “Average Passenger per Hour”, description: “As per the analysis of our current data trend, it has been observed that the time slot of 7:00 to 7:59 AM on Mondays records the highest average passenger count by hour of the day. The visual representation of the data illustrates that during this time slot, the average number of passengers on Mondays amounts to approximately 60 plus per day. This information provides valuable insights into the peak hours of passenger traffic on Mondays, which can be useful for commuters to plan their travel accordingly.” },
{ src: “images/byhourtues.png”, alt: “Average Passenger per Hour”, description: “Based on the analysis of our current data trend, it can be observed that the time window of 8:00 to 8:59 AM on Tuesdays experiences the highest average passenger count per hour of the day. The accompanying visual representation of the data shows that the average number of passengers during this period on Tuesdays is approximately 40 plus per day. These insights into the peak hours of passenger traffic on Tuesdays can prove to be beneficial for commuters in planning their journeys and avoiding congestion during rush hour.” },
{ src: “images/byhourwed.png”, alt: “Average Passenger per Hour”, description: “On Wednesdays, the time slot of 8:00 to 8:59 AM records the highest average passenger count per hour of the day, with approximately 30 plus passengers on average during this period, as indicated by the accompanying visual representation based on our current data trend. These insights can assist commuters in avoiding peak congestion and planning their travel accordingly.” },
{ src: “images/byhourthurs.png”, alt: “Average Passenger per Hour”, description: “Similarly, on Thursdays and Fridays, the time frame of 8:00 to 8:59 AM experiences the highest average passenger count per hour of the day, with approximately 35 plus passengers on average during this period, as illustrated by the accompanying visual representation based on our current data trend. Commuters can use this information to plan their travel and avoid peak congestion during these days and hours.” },
{ src: “images/byhourfri.png”, alt: “Average Passenger per Hour”, description: “Similarly, on Thursdays and Fridays, the time frame of 8:00 to 8:59 AM experiences the highest average passenger count per hour of the day, with approximately 35 plus passengers on average during this period, as illustrated by the accompanying visual representation based on our current data trend. Commuters can use this information to plan their travel and avoid peak congestion during these days and hours.” },
];
let predbyhour= [
{ src: “images/avepredbyhour.png”, alt: “Average Passenger per Hour”, description: “As per the analysis of our current data trend, it has been observed that the time slot of 7:00 to 7:59 AM on Mondays records the highest average passenger count by hour of the day. The visual representation of the data illustrates that during this time slot, the average number of passengers on Mondays amounts to approximately 60 plus per day. This information provides valuable insights into the peak hours of passenger traffic on Mondays, which can be useful for commuters to plan their travel accordingly.” },
{ src: “images/predbyhourmon.png”, alt: “Average Passenger per Hour”, description: “As per the analysis of our current data trend, it has been observed that the time slot of 7:00 to 7:59 AM on Mondays records the highest average passenger count by hour of the day. The visual representation of the data illustrates that during this time slot, the average number of passengers on Mondays amounts to approximately 60 plus per day. This information provides valuable insights into the peak hours of passenger traffic on Mondays, which can be useful for commuters to plan their travel accordingly.” },
{ src: “images/predbyhourtues.png”, alt: “Average Passenger per Hour”, description: “Based on the analysis of our current data trend, it can be observed that the time window of 8:00 to 8:59 AM on Tuesdays experiences the highest average passenger count per hour of the day. The accompanying visual representation of the data shows that the average number of passengers during this period on Tuesdays is approximately 40 plus per day. These insights into the peak hours of passenger traffic on Tuesdays can prove to be beneficial for commuters in planning their journeys and avoiding congestion during rush hour.” },
{ src: “images/predbyhourwed.png”, alt: “Average Passenger per Hour”, description: “On Wednesdays, the time slot of 8:00 to 8:59 AM records the highest average passenger count per hour of the day, with approximately 30 plus passengers on average during this period, as indicated by the accompanying visual representation based on our current data trend. These insights can assist commuters in avoiding peak congestion and planning their travel accordingly.” },
{ src: “images/predbyhourthur.png”, alt: “Average Passenger per Hour”, description: “Similarly, on Thursdays and Fridays, the time frame of 8:00 to 8:59 AM experiences the highest average passenger count per hour of the day, with approximately 35 plus passengers on average during this period, as illustrated by the accompanying visual representation based on our current data trend. Commuters can use this information to plan their travel and avoid peak congestion during these days and hours.” },
{ src: “images/predbyhourfri.png”, alt: “Average Passenger per Hour”, description: “Similarly, on Thursdays and Fridays, the time frame of 8:00 to 8:59 AM experiences the highest average passenger count per hour of the day, with approximately 35 plus passengers on average during this period, as illustrated by the accompanying visual representation based on our current data trend. Commuters can use this information to plan their travel and avoid peak congestion during these days and hours.” },
];
let aveandpredbyday= [
{ src: “images/byday.png”, alt: “Average Passenger per Day”, description: “According to the analysis of our current data trend, it has been observed that Monday records the highest average passenger count among all the days of the week. The visual representation of the data demonstrates that the average number of passengers on Monday amounts to approximately 350 per day.” },
{ src: “images/avepredday.png”, alt: “Average Passenger per Day”, description: “According to the analysis of our current data trend, it has been observed that Monday records the highest average passenger count among all the days of the week. The visual representation of the data demonstrates that the average number of passengers on Monday amounts to approximately 350 per day.” },
];
</script>
<br>
<br>
<br>
<br>
<div class=“heading”>
<h2 class=“text-2xl font-bold mb-4”>Home</h2>
</div>
<div class=“flex flex-col items-center justify-center h-28 px-4 bg-gray-200 text-gray-800”>
<div class=“flex items-center”>
<span class=“mr-2 font-bold”>Current people:</span>
<span class=“font-medium”>{$people}</span>
</div>
<div class=“flex items-center mt-1”>
<span class=“mr-2 font-bold”>Terminal Status:</span>
<span>
<div class=“flex items-center”>
<span class=“h-3 w-3 rounded-full mr-2 {colorClass}”></span>
<div class=“text-gray-800 font-medium”>
{#if ratio >= 0.7}
Crowded
{:else if ratio >= 0.4}
Slightly Crowded
{:else}
Not crowded
{/if}
</div>
</div>
</span>
</div>
</div>
this is my .js file for firebase database
import { collection, getDocs, onSnapshot } from “firebase/firestore”;
import db from “…/auth/firestore”
import { writable } from “svelte/store”;
export let people = writable(0)
async function getTotalNumberOfPeople() {
let totalCount = []
const querySnapshot = await getDocs(collection(db, “Detections”));
if(querySnapshot){
querySnapshot.forEach((doc) => {
totalCount.push(JSON.parse(JSON.stringify(doc.data())))
})
}
return totalCount
}
// Set up a realtime listener to update the reactive store whenever there is new data
onSnapshot(collection(db, “Detections”), (snapshot) => {
people.set(snapshot.size); // updates the people count, snapshot.size gives the current number of documents
}, error => {
console.error(error);
});
getTotalNumberOfPeople().then((out) => {
if(out){
people.set(out)
}
});
setPeople()
export default people
so will my website app display the number of people detected and be reactive for changes as well in real time?
|
566c9f7089d140f8808f749ec9cd12ed
|
{
"intermediate": 0.40091848373413086,
"beginner": 0.24428041279315948,
"expert": 0.35480111837387085
}
|
39,971
|
아래 내용을 통해서 gdb에서 tui모드를 사용할 때, c++ code에 대해서 가독성을 높일 수 있는 색상을 입힐 수 있는 내용이 있나요? 설명해주세요.
2071 *** Changes in GDB 8.3
2072
2073 * GDB and GDBserver now support access to additional registers on
2074 PowerPC GNU/Linux targets: PPR, DSCR, TAR, EBB/PMU registers, and
2075 HTM registers.
2076
2077 * GDB now has experimental support for the compilation and injection of
2078 C++ source code into the inferior. This beta release does not include
2079 support for several language features, such as templates, constructors,
2080 and operators.
2081
2082 This feature requires GCC 7.1 or higher built with libcp1.so
2083 (the C++ plug-in).
2084
2085 * GDB and GDBserver now support IPv6 connections. IPv6 addresses
2086 can be passed using the '[ADDRESS]:PORT' notation, or the regular
2087 'ADDRESS:PORT' method.
2088
2089 * DWARF index cache: GDB can now automatically save indices of DWARF
2090 symbols on disk to speed up further loading of the same binaries.
2091
2092 * Ada task switching is now supported on aarch64-elf targets when
2093 debugging a program using the Ravenscar Profile. For more information,
2094 see the "Tasking Support when using the Ravenscar Profile" section
2095 in the GDB user manual.
2096
2097 * GDB in batch mode now exits with status 1 if the last command to be
2098 executed failed.
2099
2100 * The RISC-V target now supports target descriptions.
2101
2102 * System call catchpoints now support system call aliases on FreeBSD.
2103 When the ABI of a system call changes in FreeBSD, this is
2104 implemented by leaving a compatibility system call using the old ABI
2105 at the existing number and allocating a new system call number for
2106 the new ABI. For example, FreeBSD 12 altered the layout of 'struct
2107 kevent' used by the 'kevent' system call. As a result, FreeBSD 12
2108 kernels ship with both 'kevent' and 'freebsd11_kevent' system calls.
2109 The 'freebsd11_kevent' system call is assigned an alias of 'kevent'
2110 so that a system call catchpoint for the 'kevent' system call will
2111 catch invocations of both the 'kevent' and 'freebsd11_kevent'
2112 binaries. This ensures that 'kevent' system calls are caught for
2113 binaries using either the old or new ABIs.
2114
2115 * Terminal styling is now available for the CLI and the TUI. GNU
2116 Source Highlight can additionally be used to provide styling of
2117 source code snippets. See the "set style" commands, below, for more
2118 information.
2119
2120 * Removed support for old demangling styles arm, edg, gnu, hp and
2121 lucid.
2122
2123 * New commands
2124
2125 set debug compile-cplus-types
2126 show debug compile-cplus-types
2127 Control the display of debug output about type conversion in the
2128 C++ compile feature. Commands have no effect while compiling
2129 for other languages.
2130
2131 set debug skip
2132 show debug skip
2133 Control whether debug output about files/functions skipping is
2134 displayed.
2135
2136 frame apply [all | COUNT | -COUNT | level LEVEL...] [FLAG]... COMMAND
2137 Apply a command to some frames.
2138 FLAG arguments allow to control what output to produce and how to handle
2139 errors raised when applying COMMAND to a frame.
2140
2141 taas COMMAND
2142 Apply a command to all threads (ignoring errors and empty output).
2143 Shortcut for 'thread apply all -s COMMAND'.
2144
2145 faas COMMAND
2146 Apply a command to all frames (ignoring errors and empty output).
2147 Shortcut for 'frame apply all -s COMMAND'.
2148
2149 tfaas COMMAND
2150 Apply a command to all frames of all threads (ignoring errors and empty
2151 output).
2152 Shortcut for 'thread apply all -s frame apply all -s COMMAND'.
2153
2154 maint set dwarf unwinders (on|off)
2155 maint show dwarf unwinders
2156 Control whether DWARF unwinders can be used.
2157
2158 info proc files
2159 Display a list of open files for a process.
2160
2161 * Changed commands
2162
2163 Changes to the "frame", "select-frame", and "info frame" CLI commands.
2164 These commands all now take a frame specification which
2165 is either a frame level, or one of the keywords 'level', 'address',
2166 'function', or 'view' followed by a parameter. Selecting a frame by
2167 address, or viewing a frame outside the current backtrace now
2168 requires the use of a keyword. Selecting a frame by level is
2169 unchanged. The MI comment "-stack-select-frame" is unchanged.
2170
2171 target remote FILENAME
2172 target extended-remote FILENAME
2173 If FILENAME is a Unix domain socket, GDB will attempt to connect
2174 to this socket instead of opening FILENAME as a character device.
2175
2176 info args [-q] [-t TYPEREGEXP] [NAMEREGEXP]
2177 info functions [-q] [-t TYPEREGEXP] [NAMEREGEXP]
2178 info locals [-q] [-t TYPEREGEXP] [NAMEREGEXP]
2179 info variables [-q] [-t TYPEREGEXP] [NAMEREGEXP]
2180 These commands can now print only the searched entities
2181 matching the provided regexp(s), giving a condition
2182 on the entity names or entity types. The flag -q disables
2183 printing headers or informations messages.
2184
2185 info functions
2186 info types
2187 info variables
2188 rbreak
2189 These commands now determine the syntax for the shown entities
2190 according to the language chosen by `set language'. In particular,
2191 `set language auto' means to automatically choose the language of
2192 the shown entities.
2193
2194 thread apply [all | COUNT | -COUNT] [FLAG]... COMMAND
2195 The 'thread apply' command accepts new FLAG arguments.
2196 FLAG arguments allow to control what output to produce and how to handle
2197 errors raised when applying COMMAND to a thread.
2198
2199 set tui tab-width NCHARS
2200 show tui tab-width NCHARS
2201 "set tui tab-width" replaces the "tabset" command, which has been deprecated.
2202
2203 set style enabled [on|off]
2204 show style enabled
2205 Enable or disable terminal styling. Styling is enabled by default
2206 on most hosts, but disabled by default when in batch mode.
2207
2208 set style sources [on|off]
2209 show style sources
2210 Enable or disable source code styling. Source code styling is
2211 enabled by default, but only takes effect if styling in general is
2212 enabled, and if GDB was linked with GNU Source Highlight.
2213
2214 set style filename foreground COLOR
2215 set style filename background COLOR
2216 set style filename intensity VALUE
2217 Control the styling of file names.
2218
2219 set style function foreground COLOR
2220 set style function background COLOR
2221 set style function intensity VALUE
2222 Control the styling of function names.
2223
2224 set style variable foreground COLOR
2225 set style variable background COLOR
2226 set style variable intensity VALUE
2227 Control the styling of variable names.
2228
2229 set style address foreground COLOR
2230 set style address background COLOR
2231 set style address intensity VALUE
2232 Control the styling of addresses.
2233
2234 * MI changes
2235
2236 ** The '-data-disassemble' MI command now accepts an '-a' option to
2237 disassemble the whole function surrounding the given program
2238 counter value or function name. Support for this feature can be
2239 verified by using the "-list-features" command, which should
2240 contain "data-disassemble-a-option".
2241
2242 ** Command responses and notifications that include a frame now include
2243 the frame's architecture in a new "arch" attribute.
2244
2245 * New native configurations
2246
2247 GNU/Linux/RISC-V riscv*-*-linux*
2248 FreeBSD/riscv riscv*-*-freebsd*
2249
2250 * New targets
2251
2252 GNU/Linux/RISC-V riscv*-*-linux*
2253 CSKY ELF csky*-*-elf
2254 CSKY GNU/LINUX csky*-*-linux
2255 FreeBSD/riscv riscv*-*-freebsd*
2256 NXP S12Z s12z-*-elf
2257 GNU/Linux/OpenRISC or1k*-*-linux*
2258
2259 * Removed targets
2260
2261 GDB no longer supports native debugging on versions of MS-Windows
2262 before Windows XP.
2263
2264 * Python API
2265
2266 ** GDB no longer supports Python versions less than 2.6.
2267
2268 ** The gdb.Inferior type has a new 'progspace' property, which is the program
2269 space associated to that inferior.
2270
2271 ** The gdb.Progspace type has a new 'objfiles' method, which returns the list
2272 of objfiles associated to that program space.
2273
2274 ** gdb.SYMBOL_LOC_COMMON_BLOCK, gdb.SYMBOL_MODULE_DOMAIN, and
2275 gdb.SYMBOL_COMMON_BLOCK_DOMAIN were added to reflect changes to
2276 the gdb core.
2277
2278 ** gdb.SYMBOL_VARIABLES_DOMAIN, gdb.SYMBOL_FUNCTIONS_DOMAIN, and
2279 gdb.SYMBOL_TYPES_DOMAIN are now deprecated. These were never
2280 correct and did not work properly.
2281
2282 ** The gdb.Value type has a new constructor, which is used to construct a
2283 gdb.Value from a Python buffer object and a gdb.Type.
2284
2285 * Configure changes
2286
2287 --enable-ubsan
2288
2289 Enable or disable the undefined behavior sanitizer. This is
2290 disabled by default, but passing --enable-ubsan=yes or
2291 --enable-ubsan=auto to configure will enable it. Enabling this can
2292 cause a performance penalty. The undefined behavior sanitizer was
2293 first introduced in GCC 4.9.
2294
2295 *** Changes in GDB 8.2
2296
2297 * The 'set disassembler-options' command now supports specifying options
2298 for the MIPS target.
2299
2300 * The 'symbol-file' command now accepts an '-o' option to add a relative
2301 offset to all sections.
2302
2303 * Similarly, the 'add-symbol-file' command also accepts an '-o' option to add
2304 a relative offset to all sections, but it allows to override the load
2305 address of individual sections using '-s'.
2306
2307 * The 'add-symbol-file' command no longer requires the second argument
2308 (address of the text section).
2309
2310 * The endianness used with the 'set endian auto' mode in the absence of
2311 an executable selected for debugging is now the last endianness chosen
2312 either by one of the 'set endian big' and 'set endian little' commands
2313 or by inferring from the last executable used, rather than the startup
2314 default.
2315
2316 * The pager now allows a "c" response, meaning to disable the pager
2317 for the rest of the current command.
2318
2319 * The commands 'info variables/functions/types' now show the source line
2320 numbers of symbol definitions when available.
2321
2322 * 'info proc' now works on running processes on FreeBSD systems and core
2323 files created on FreeBSD systems.
2324
2325 * C expressions can now use _Alignof, and C++ expressions can now use
2326 alignof.
2327
2328 * Support for SVE on AArch64 Linux. Note that GDB does not detect changes to
2329 the vector length while the process is running.
2330
2331 * New commands
2332
2333 set debug fbsd-nat
2334 show debug fbsd-nat
2335 Control display of debugging info regarding the FreeBSD native target.
2336
2337 set|show varsize-limit
2338 This new setting allows the user to control the maximum size of Ada
2339 objects being printed when those objects have a variable type,
2340 instead of that maximum size being hardcoded to 65536 bytes.
2341
2342 set|show record btrace cpu
2343 Controls the processor to be used for enabling errata workarounds for
2344 branch trace decode.
2345
2346 maint check libthread-db
2347 Run integrity checks on the current inferior's thread debugging
2348 library
2349
2350 maint set check-libthread-db (on|off)
2351 maint show check-libthread-db
2352 Control whether to run integrity checks on inferior specific thread
2353 debugging libraries as they are loaded. The default is not to
2354 perform such checks.
2355
2356 * Python API
2357
2358 ** Type alignment is now exposed via the "align" attribute of a gdb.Type.
2359
2360 ** The commands attached to a breakpoint can be set by assigning to
2361 the breakpoint's "commands" field.
2362
2363 ** gdb.execute can now execute multi-line gdb commands.
2364
2365 ** The new functions gdb.convenience_variable and
2366 gdb.set_convenience_variable can be used to get and set the value
2367 of convenience variables.
2368
2369 ** A gdb.Parameter will no longer print the "set" help text on an
2370 ordinary "set"; instead by default a "set" will be silent unless
2371 the get_set_string method returns a non-empty string.
2372
2373 * New targets
2374
2375 RiscV ELF riscv*-*-elf
2376
2377 * Removed targets and native configurations
2378
2379 m88k running OpenBSD m88*-*-openbsd*
2380 SH-5/SH64 ELF sh64-*-elf*, SH-5/SH64 support in sh*
2381 SH-5/SH64 running GNU/Linux SH-5/SH64 support in sh*-*-linux*
2382 SH-5/SH64 running OpenBSD SH-5/SH64 support in sh*-*-openbsd*
2383
2384 * Aarch64/Linux hardware watchpoints improvements
2385
2386 Hardware watchpoints on unaligned addresses are now properly
2387 supported when running Linux kernel 4.10 or higher: read and access
2388 watchpoints are no longer spuriously missed, and all watchpoints
2389 lengths between 1 and 8 bytes are supported. On older kernels,
2390 watchpoints set on unaligned addresses are no longer missed, with
2391 the tradeoff that there is a possibility of false hits being
2392 reported.
2393
2394 * Configure changes
2395
2396 --enable-codesign=CERT
2397 This can be used to invoke "codesign -s CERT" after building gdb.
2398 This option is useful on macOS, where code signing is required for
2399 gdb to work properly.
2400
2401 --disable-gdbcli has been removed
2402 This is now silently accepted, but does nothing.
|
0dde5ba24ebb538d3cc149f3249dcfdf
|
{
"intermediate": 0.4782677888870239,
"beginner": 0.3517455458641052,
"expert": 0.16998668015003204
}
|
39,972
|
Prepare a data for a dentistry problem and simulate to access be most appropriate number of items for a time period of 2 hours
|
55f43ce920647495dbfe71734fd76e98
|
{
"intermediate": 0.4082566201686859,
"beginner": 0.22266800701618195,
"expert": 0.3690754175186157
}
|
39,973
|
Hey
|
4555b5b3c1b5d6c03b7b50651cef8fc7
|
{
"intermediate": 0.3360580503940582,
"beginner": 0.274208664894104,
"expert": 0.38973328471183777
}
|
39,974
|
farell efficiency can be calculated by ?
|
37805102779158a27a4f42367945bcbe
|
{
"intermediate": 0.2854359745979309,
"beginner": 0.1884450912475586,
"expert": 0.5261189341545105
}
|
39,975
|
how to set an html accepts flash messeges
|
59b1318f06c1dc904a841adc02b4b098
|
{
"intermediate": 0.41158005595207214,
"beginner": 0.3135218322277069,
"expert": 0.27489814162254333
}
|
39,976
|
Write powershell script taking 2 positional string arguments: strFileName and strOutputDir. If strOutputDir is available and not empty, then append to it filename with 2 parent directories (if any) extracted from strFileName. Change extension into ".txt" and create a file from the obtained path. Output string "hello" into the file.
|
fbd372cb778a2a5eafbb5530b71af1e1
|
{
"intermediate": 0.41769054532051086,
"beginner": 0.18492288887500763,
"expert": 0.3973865211009979
}
|
39,977
|
hi
|
19ea9d60157ec6b7c5a2f1a2d75d5480
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
39,978
|
Please format the following http site better and more beautiful:
<!DOCTYPE html>
<html lang="en">
<head>
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.2.3/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-rbsA2VBKQhggwzxH7pPCaAqO46MgnOM80zW1RWuH61DGLwZJEdK2Kadq2F9CUG65" crossorigin="anonymous">
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.2.3/dist/js/bootstrap.bundle.min.js" integrity="sha384-kenU1KFdBIe4zVF0s0G1M5b4hcpxyD9F7jL+jjXkk+Q2h455rYXK/7HAuoJl+0I4" crossorigin="anonymous"></script>
<link href="styles.css" rel="stylesheet">
<title>My Webpage</title>
<link rel="icon" href="https://news.ycombinator.com/y18.svg">
</head>
<body>
<!--LOGO-->
<!--NAVBAR-->
<nav class="navbar navbar-expand-lg" style="background-color: #ff4000">
<div class="container-fluid">
<a href="index.html">
<img src="https://news.ycombinator.com/y18.svg" width="40" height="40" style="border:1px white solid; display:block">
</a>
<a class="navbar-brand" href="#">Simon's Blog</a>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarNavDropdown" aria-controls="navbarNavDropdown" aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarNavDropdown">
<ul class="navbar-nav">
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="#">Home</a>
</li>
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="blog.html">Blog</a>
</li>
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="qanda.html">Q and A</a>
</li>
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="projects.html">Projects I've worked on</a>
</li>
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="contact.html">Get In Touch</a>
</li>
</ul>
</div>
</div>
</nav>
<!--Text-->
<div class="blog"><br>
<h1>The Digital Odyssey </h1>
<h2>Journey through the Tech Terrain</h2>
<br>
<b> Hello there, fellow traveler!</b><p>I'm <PRESIDIO_ANONYMIZED_PERSON>, a curious explorer charting the vast and vibrant seas of technology. By day, I’m a software engineer stitching together code that, piece by piece, constructs the fabric of our digital reality. By night, I’m your humble host on this personal blog, The Digital Odyssey, where I share tales from the tech frontiers.</p>
<b>About The Blog</b>
<p>The Digital Odyssey is a reflection of my passion for all that beeps, blinks, and bytes. Here, you’ll witness the musings of a tech savant (and sometimes the rants of a caffeine-fueled coder) presented with a dash of personality and heaps of experience. Let’s embark on this journey together, through the realms of code, gadgets, and the continuously unfolding future that is technology.</p>
<b>What You’ll Discover Here</b>
<ul class="discover">
<li>Daily Adventures: Witness my day-to-day encounters with technology, from troubleshooting bugs to reveling in the thrill of a successful product launch.</li>
<li>Tech Tips & Tricks: Benefit from my expertise with an array of how-tos, from sharpening your programming skills to optimizing your home network.</li>
<li>Thought-Provoking Essays: Delve deeper as I ponder ethical dilemmas in AI development, the rise of quantum computing, or the implications of the latest data privacy regulations.</li>
<li>Gadget Chronicles: Join me as I unpack, review, and dissect the latest tech to hit the market. Will it earn a permanent spot on my desk or gather dust in the drawer?</li>
<li>Behind The Scenes: Get an insider’s look at the tech industry through candid stories and personal reflections on the trends shaping our digital existence.</li>
<li>A Slice of Life: Because technology is not just what I do, it’s intertwined with who I am. From conference escapades to the pages of my latest sci-fi read, you’ll get it all.</li>
</ul>
<b>Latest Musings</b>
<ul id="musings">
<li>Do Smartwatches Tick the Right Boxes? My Week Wrist-deep in Notifications</li>
<li>THackathon Chronicles: Sleepless Innovation or a Caffeine Conundrum?</li>
<li>The Art of Clean Code: A Brush with the Philosopher’s Codebase</li>
<li>Mars Rovers and Earthly Codes: Programming Lessons from Outer Space</li>
</ul>
<b>Let's Connect</b>
<p>While this odyssey is penned by a solitary scribe, the narrative enriches with every interaction. Comment on my posts, challenge my viewpoints, suggest topics, or share your tech experiences – I’m all ears! Don your social-media cap and follow me on my channels to keep the dialogue alive.</p>
<b>Tech Musings Delivered</b>
<p>Life is fast, tech is faster. Subscribe to my newsletter to keep pace with my weekly recount of tech tales and reflections. A concise dose of insight, delivered with the quirks only a true technologist can provide.</p>
</div>
</body>
</html>
|
fc199237f7ba3e62ae837843724ac317
|
{
"intermediate": 0.27733930945396423,
"beginner": 0.4076150059700012,
"expert": 0.31504568457603455
}
|
39,979
|
currently I run this command in terminal but I want to same the same command inside python using yt-dlp library. show me code thanks
"yt-dlp --get-url https://www.facebook.com/share/r/fchXvFoCeBuZcxhh/?mibextid=0VwfS7 -f "b" -S "filesize~50M""
|
f2da9d8779afc9c0c6df91f158853b61
|
{
"intermediate": 0.6361796259880066,
"beginner": 0.1889294981956482,
"expert": 0.17489081621170044
}
|
39,980
|
close all; clear; clc;
h = fspecial('gaussian', [9 9], 4); % Beck-Teboulle SIAM 2009
h = h./sum(h(:));
blur = @(im) imfilter(im,h,'conv','circular');
eps_val = 1e-6;
noise_mean = 0;
noise_var = 0.000001; % 10^{-6} Beck-Teboulle SIAM 2009
% Load image
f = im2double(imread('images\barbara_face.png'));
%f = im2double(imread('cameraman.tif'));
% Apply blur and add noise
g = imfilter(f,h,'conv','circular'); % blur
g = imnoise(g,'gaussian',noise_mean,noise_var); % adding noise
H = psf2otf(h,size(g));
psnr0 = psnr(f,g);
psnrISRA = [psnr0]; % Initialize PSNR for ISRA
ISRA = g; % Initialize ISRA
G = fft2(g);
maxiter = 700;
for i = 1:maxiter
% ISRA iterations: ISRA = ISRA.*(h(-x)*g./(h(-x)*h(x)*ISRA))
ISRA = (ISRA .* ifft2(fft2(blur(g) ./ (blur(ISRA) + eps_val)) .* conj(H)));
ISRA = ISRA ./ (ifft2(conj(H) .* fft2(blur(ISRA) + eps_val) .* conj(H)));
psnr_ISRA = psnr(ISRA,f)
psnrISRA = [psnrISRA; psnr_ISRA];
% fprintf('i = %d psnr_ISRA = %f\n', i, psnr_ISRA);
end
% Plot PSNR graphs
figure();
% Creating a subplot for the PSNR graphs
semilogy(1.5,'Color',[0,0,1]),axis([1 maxiter 0 30]);
hold on;
semilogy(psnrISRA,'LineWidth',1.5,'Color',[0,0,0]);
legend( 'ISRA');
xlabel('Iterations');
ylabel('PSNR');
figure;
imshow(ISRA)
whats wrong with this code
|
a9273286e3c9fe169025441f9cb8792a
|
{
"intermediate": 0.4639328122138977,
"beginner": 0.3411136567592621,
"expert": 0.1949535608291626
}
|
39,981
|
in this code:
renderer = SDL_CreateRenderer(window.GetWindow(), -1, 0);
if (renderer != NULL)
Should I use NULL or nullptr?
|
e3fe859a0da77d46a6b1328eaf6621d1
|
{
"intermediate": 0.4576573073863983,
"beginner": 0.3648715615272522,
"expert": 0.17747116088867188
}
|
39,982
|
You are a vastly experienced user of excel with many years experience solving problematic formulas. Create a formula that can look for multiple entries of a search term in columns C and E and then return there corresponding values that are on the same rows as each entry, but are in columns O and P. Results should be returned in a single cell on the same row in column Q using Textjoin
|
a4ca4f333f29e5d87539b6da38e6c594
|
{
"intermediate": 0.39781200885772705,
"beginner": 0.2299947887659073,
"expert": 0.37219318747520447
}
|
39,983
|
here you do. ouput: "A letter 10 times
B letter 11 times
C letter 12 times
D letter 13 times
E letter 14 times
F letter 15 times
G letter 16 times
H letter 17 times
I letter 18 times
J letter 19 times
K letter 20 times
L letter 21 times
M letter 22 times
N letter 23 times
O letter 24 times
P letter 25 times
Q letter 26 times
R letter 27 times
S letter 28 times
T letter 29 times
U letter 30 times
V letter 31 times
W letter 32 times
X letter 33 times
Y letter 34 times
Z letter 35 times" then calculate in each number of letters in total and reoutput if wrong, until correct number of letters is achieved.
|
789bc3007ce778d153d5b313fd69eabd
|
{
"intermediate": 0.38031935691833496,
"beginner": 0.24540719389915466,
"expert": 0.3742734491825104
}
|
39,984
|
here you do. ouput: A letter 10 times
B letter 11 times
C letter 12 times
D letter 13 times
E letter 14 times
F letter 15 times
G letter 16 times
H letter 17 times
I letter 18 times
J letter 19 times
K letter 20 times
L letter 21 times
M letter 22 times
N letter 23 times
O letter 24 times
P letter 25 times
Q letter 26 times
R letter 27 times
S letter 28 times
T letter 29 times
U letter 30 times
V letter 31 times
W letter 32 times
X letter 33 times
Y letter 34 times
Z letter 35 times
|
961585372868766bbd31ac9cd4007dd0
|
{
"intermediate": 0.4260164797306061,
"beginner": 0.2553359568119049,
"expert": 0.31864747405052185
}
|
39,985
|
here you do. ouput: A letter 10 times
B letter 11 times
C letter 12 times
D letter 13 times
E letter 14 times
F letter 15 times
G letter 16 times
H letter 17 times
I letter 18 times
J letter 19 times
K letter 20 times
L letter 21 times
M letter 22 times
N letter 23 times
O letter 24 times
P letter 25 times
Q letter 26 times
R letter 27 times
S letter 28 times
T letter 29 times
U letter 30 times
V letter 31 times
W letter 32 times
X letter 33 times
Y letter 34 times
Z letter 35 times
|
1cba8f5f66e1513b09e3e7f714ea4bac
|
{
"intermediate": 0.4260164797306061,
"beginner": 0.2553359568119049,
"expert": 0.31864747405052185
}
|
39,986
|
here you do. ouput: A letter 10 times
B letter 11 times
C letter 12 times
D letter 13 times
E letter 14 times
F letter 15 times
G letter 16 times
H letter 17 times
I letter 18 times
J letter 19 times
K letter 20 times
L letter 21 times
M letter 22 times
N letter 23 times
O letter 24 times
P letter 25 times
Q letter 26 times
R letter 27 times
S letter 28 times
T letter 29 times
U letter 30 times
V letter 31 times
W letter 32 times
X letter 33 times
Y letter 34 times
Z letter 35 times
|
72f661dc59db3128e38c225a3267598d
|
{
"intermediate": 0.4260164797306061,
"beginner": 0.2553359568119049,
"expert": 0.31864747405052185
}
|
39,987
|
here you do. ouput: A letter 10 times
B letter 11 times
C letter 12 times
D letter 13 times
E letter 14 times
F letter 15 times
G letter 16 times
H letter 17 times
I letter 18 times
J letter 19 times
K letter 20 times
L letter 21 times
M letter 22 times
N letter 23 times
O letter 24 times
P letter 25 times
Q letter 26 times
R letter 27 times
S letter 28 times
T letter 29 times
U letter 30 times
V letter 31 times
W letter 32 times
X letter 33 times
Y letter 34 times
Z letter 35 times
|
1479091b14f439d522db3a63df15949d
|
{
"intermediate": 0.4260164797306061,
"beginner": 0.2553359568119049,
"expert": 0.31864747405052185
}
|
39,988
|
here you do. ouput: "A letter 10 times
B letter 11 times
C letter 12 times
D letter 13 times
E letter 14 times
F letter 15 times
G letter 16 times
H letter 17 times
I letter 18 times
J letter 19 times
K letter 20 times
L letter 21 times
M letter 22 times
N letter 23 times
O letter 24 times
P letter 25 times
Q letter 26 times
R letter 27 times
S letter 28 times
T letter 29 times
U letter 30 times
V letter 31 times
W letter 32 times
X letter 33 times
Y letter 34 times
Z letter 35 times" then calculate in each number of letters in total and reoutput if wrong, until correct number of letters is achieved.
|
d9bd916d4c3232b35aa60aea4b6d901a
|
{
"intermediate": 0.38031935691833496,
"beginner": 0.24540719389915466,
"expert": 0.3742734491825104
}
|
39,989
|
You are a vastly experienced user of excel with many years experience solving problematic formulas. Create a formula that can lookup multiple entries of a search term in columns C and E and then return there corresponding values that are on the same rows as each entry, but are in columns O and P. Results should be returned in a single cell in column Q using Textjoin
|
75e0acd74950a9b2a5cbd92cee0c484f
|
{
"intermediate": 0.4167020916938782,
"beginner": 0.291593462228775,
"expert": 0.2917045056819916
}
|
39,990
|
You are a vastly experienced user of excel with many years experience solving problematic formulas. Create a formula that can look for multiple entries of a search term in columns C and E and then return there corresponding values that are on the same rows as each entry, but are in columns O and P. Results should be returned in a single cell on the same row in column Q using Textjoin
|
9a32e646b7d5f698683650316ffe1d64
|
{
"intermediate": 0.4122645854949951,
"beginner": 0.25660234689712524,
"expert": 0.33113306760787964
}
|
39,991
|
here you do. ouput: A letter 10 times
B letter 11 times
C letter 12 times
D letter 13 times
E letter 14 times
F letter 15 times
G letter 16 times
H letter 17 times
I letter 18 times
J letter 19 times
K letter 20 times
L letter 21 times
M letter 22 times
N letter 23 times
O letter 24 times
P letter 25 times
Q letter 26 times
R letter 27 times
S letter 28 times
T letter 29 times
U letter 30 times
V letter 31 times
W letter 32 times
X letter 33 times
Y letter 34 times
Z letter 35 times
|
bcc7d1e01778b8f4daeea42d10fee7db
|
{
"intermediate": 0.4260164797306061,
"beginner": 0.2553359568119049,
"expert": 0.31864747405052185
}
|
39,992
|
this is my code:
use bio::io::bed;
use crossbeam_utils::thread::scope;
use std::io::{self, Read};
use std::sync::{mpsc, Arc, Mutex};
fn main() {
let mut reader = bed::Reader::from_file(
"/home/alejandro/Documents/unam/TOGA_old_versions/x/bed_tmp/100k.bed",
)
.unwrap();
println!("{:?}", reader);
// define the number of messages the channel can hold
let num_threads = 2;
// create a synchronous channel with a bounded capacity
let (tx, rx) = mpsc::sync_channel(num_threads);
let atomic_reader = Arc::new(Mutex::new(reader.records()));
// spawn threads to send messages
let _ = scope(|scope| {
for _ in 0..num_threads {
let tx = tx.clone();
let reader = Arc::clone(&atomic_reader);
scope.spawn(move |_| {
loop {
match get_next_record(&reader) {
Some(rs) => {
let record = match rs {
Ok(record) => record,
Err(err) => panic!("Error reading record: {}", err),
};
println!("{:?}", record);
tx.send(Some(record)).expect("Could not send data");
}
None => {
tx.send(None).expect("Could not send data");
break;
}
} // end match
} // end loop
}); // end spawn
} // end for
}); // end scope
// receive messages
let mut death_txs = 0;
let mut received = 0;
println!("{:?}", rx);
for rc in rx.iter() {
match rc {
Some(record) => {
println!("{:?}", record);
received += 1;
eprint!("\rRecords received: {}", received);
}
None => {
death_txs += 1;
if death_txs == num_threads {
drop(tx);
break;
}
}
}
}
}
fn get_next_record<R: io::Read>(
reader: &Arc<Mutex<bed::Records<R>>>,
) -> Option<Result<bed::Record, csv::Error>> {
let mut lock = reader.lock().unwrap();
lock.next()
}
I got this printed out:
Reader { inner: Reader { core: Reader { dfa: Dfa(N/A), dfa_state: DfaState(0), nfa_state: StartRecord, delimiter: 9, term: CRLF, quote: 34, escape: None, double_quote: true, comment: Some(35), quoting: true, use_nfa: false, line: 1, has_read: false, output_pos: 0 }, rdr: BufReader { reader: File { fd: 3, path: "/home/alejandro/Documents/unam/TOGA_old_versions/x/bed_tmp/100k.bed", read: true, write: false }, buffer: 0/8192 }, state: ReaderState { headers: None, has_headers: false, flexible: false, trim: None, first_field_count: None, cur_pos: Position { byte: 0, line: 1, record: 0 }, first: false, seeked: false, eof: NotEof } } }
Record { chrom: "chr8", start: 71780035, end: 71795956, aux: ["ENST00000557082.2", "1000", "-", "71780035", "71795956", "0,0,200", "4", "77,120,148,6,", "0,5046,13138,15915,"] }
Record { chrom: "chr8", start: 38174420, end: 38312141, aux: ["ENST00000555899.2", "1000", "-", "38174420", "38312141", "0,0,200", "13", "100,87,128,120,51,54,109,60,131,93,102,197,157,", "0,2936,5589,10016,12299,12452,13910,14932,15102,30621,37050,61630,137564,"] }
Record { chrom: "chr24", start: 48624484, end: 48626386, aux: ["ENST00000636176.24", "1000", "+", "48624484", "48626386", "0,0,200", "4", "3,276,153,135,", "0,1136,1493,1767,"] }
Record { chrom: "chr9", start: 58699301, end: 58722651, aux: ["ENST00000497580.69", "1000", "-", "58699301", "58722651", "0,0,200", "12", "6,92,141,174,126,130,161,190,135,87,844,185,", "0,512,1929,3815,4924,7282,11484,15828,16163,17671,20743,23165,"] }
but nothing else and the program does not finish
|
ab1236e991dde4caba9c8bc8e4301745
|
{
"intermediate": 0.37060606479644775,
"beginner": 0.38659951090812683,
"expert": 0.2427944391965866
}
|
39,993
|
import requests
from bs4 import BeautifulSoup
from fake_useragent import UserAgent
import time
def fetch_latest_events(url, headers):
response = requests.get(url, headers=headers)
if response.status_code != 200:
print('Error accessing the web page')
return None
soup = BeautifulSoup(response.content, 'html.parser')
events = soup.find_all('td')
# استخراج وطباعة الأحداث الرياضية الحصرية
latest_events = []
for event in events:
a_tag = event.find('a')
if a_tag and 'match' in a_tag.get('href', ''):
latest_events.append(a_tag.text.strip())
return latest_events
# تحديد URL الموقع المطلوب
URL = 'https://www.footballwebpages.co.uk/vidiprinter'
# تحديد عناوين يوزر أجنت المزيفة
headers = {'User-Agent': UserAgent().random}
# متغير لتخزين آخر خمسة أحداث
latest_five_events = []
while True:
try:
new_events = fetch_latest_events(URL, headers)
if new_events:
latest_five_events = (new_events[-5:] if len(new_events) >= 5 else new_events) + latest_five_events
latest_five_events = latest_five_events[:5] # الحفاظ على آخر خمسة أحداث فقط
# طباعة آخر خمسة أحداث منظمة
print("\nLatest 5 exclusive sports events:")
for event in latest_five_events:
print(event)
# إضافة بعض التأخير قبل التحقق مجدداً
time.sleep(30)
except KeyboardInterrupt:
print("Manual interrupt by user. Exiting…")
break
except Exception as e:
print("An error occurred:", e)
break # انهاء البرنامج في حال حدوث خطأ ارجو التعديل على السكريبت بحيث لا يكرر طباعة نفس الأحداث اريد يطبع الحدث الجديد فقط والذي لم يكن موجود سابقا
|
356d8a3a47c43c1ac3688fd9d7bc6beb
|
{
"intermediate": 0.2916514277458191,
"beginner": 0.4276447594165802,
"expert": 0.28070390224456787
}
|
39,994
|
How do I use the datetime module in Python to calculate one's age?
|
a12d699d0dee03ed571fcd20fa9a651b
|
{
"intermediate": 0.8316529393196106,
"beginner": 0.05165906995534897,
"expert": 0.11668793857097626
}
|
39,995
|
Write me a radix sort algorithm that is parallelised in CUDA.
|
685c45aa28840bbb456080ec0da0df5f
|
{
"intermediate": 0.14581787586212158,
"beginner": 0.03251783177256584,
"expert": 0.8216642737388611
}
|
39,996
|
you will parallelize the CRC verification of several files, the data paths of
which will be passed as command line arguments. The path to the CRC will be, as in the previous practice,
obtained by appending ”.crc” to the data file path. The code is given almost complete, but it has data races.
You must add the relevant synchronization tools in the fileManager.c and main.c to avoid them.
The parallelization is done using threads, each of them will continuously choose a file from which no
other thread is currently reading, read a 256-byte block of the data file and its CRC, and verify it. In case
there is an inconsistency, the thread should log it in the standard output in the standard - specifying the file
in which the inconsistency was found. Notice that different blocks of the same file can be read by different
threads - but not simultaneously. You’ll need to complete their functions (markFileAsFinished and
getAndReserveFile). Also, the threads will have to exit only when there are no more files to process
main.c:
#include "crc.h"
#include "fileManager.h"
#include "myutils.h"
#include <pthread.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h> // for sleep function : waits for seconds
FileManager fm;
void* worker_function(void * arg){
while (1){
dataEntry d;
char * buff[256];
short int crc;
int res = getAndReserveFile(&fm, &d); // Reserves a file. The release is missing. Where should you put it?
read(d.fdcrc, &crc, sizeof(short int));
int nBytesReadData = read(d.fddata, buff, 256);
if (crc != crcSlow(buff, nBytesReadData)) {
printf("CRC error in file %d\n", d.filename);
}
}
}
int main(int argc, char ** argv) {
initialiseFdProvider(&fm, argc, argv);
pthread_t threadID[N];
for (int i = 0; i < N; ++i) {
pthread_t thread;
pthread_create(&threadID[i], NULL, worker_function, NULL);
}
for (int i = 0; i < N; ++i) {
pthread_join(threadID[i], NULL);
}
destroyFdProvider(&fm);
}
fileManager.c:
#include "fileManager.h"
void initialiseFdProvider(FileManager * fm, int argc, char **argv) {
// Complete the initialisation
/* Your rest of the initailisation comes here*/
fm->nFilesTotal = argc -1;
fm->nFilesRemaining = fm->nFilesTotal;
// Initialise enough memory to store the arrays
fm->fdData = malloc(sizeof(int) * fm->nFilesTotal);
fm->fdCRC= malloc(sizeof(int) * fm->nFilesTotal);
fm->fileFinished = malloc(sizeof(int) * fm->nFilesTotal);
fm->fileAvailable = malloc(sizeof(int) * fm->nFilesTotal);
int i;
for (i = 1; i < fm->nFilesTotal +1; ++i) {
char path[100];
strcpy(path, argv[i]);
strcat(path, ".crc");
fm->fdData[i] = open(argv[i], O_RDONLY);
fm->fdCRC[i] = open(path, O_RDONLY);
fm->fileFinished[i] = 0;
fm->fileAvailable[i] = 1;
}
}
void destroyFdProvider(FileManager * fm) {
int i;
for (i = 0; i < fm->nFilesTotal; i++) {
close(fm->fdData[i]);
close(fm->fdCRC[i]);
}
free(fm->fdData);
free(fm->fdCRC);
free(fm->fileFinished);
}
int getAndReserveFile(FileManager *fm, dataEntry * d) {
// This function needs to be implemented by the students
int i;
for (i = 0; i < fm->nFilesTotal; ++i) {
if (fm->fileAvailable[i] && !fm->fileFinished[i]) {
d->fdcrc = fm->fdCRC[i];
d->fddata = fm->fdData[i];
d->index = i;
// CODE HERE You should mark that the file is not available
// END CODE
return 0;
}
}
return 1;
}
void unreserveFile(FileManager *fm,dataEntry * d) {
fm->fileAvailable[d->index] = 1;
}
void markFileAsFinished(FileManager * fm, dataEntry * d) {
fm->fileFinished[d->index] = 1;
fm->nFilesRemaining--; //mark that a file has finished
if (fm->nFilesRemaining == 0) {
printf("All files have been processed\n");
//TO COMPLETE: unblock all waiting threads, if needed
}
}
myutils.h:
#ifndef MYUTILS
#define MYUTILS
#include <sys/time.h>
#include <sys/types.h>
#include <netdb.h>
#include <unistd.h> // unix-like system calls read and write
#include <fcntl.h> // unix-like file handling : open
#include <stdlib.h> // standard C lib input output basic functions compatible with Windows
#include <stdio.h> // standard C lib input output basic functions compatible with Windows
#include <stdbool.h>
#include <string.h> // also from standard C lib : basic string functions like strlen
#include <pthread.h>
void startTimer(int i); // start timer i
long endTimer(int i); // returns millis since timer i started
int get_file_size(char* fname);
int read_split( int fin, char* buff, int maxlen, char* ch_end );
// Semaphores implementation Using pthreads monitors
typedef struct semaphore_struct {
int i;
pthread_mutex_t lock;
pthread_cond_t cond;
} my_semaphore;
void my_sem_init(my_semaphore* sem, int i);
void my_sem_wait(my_semaphore* sem);
void my_sem_signal(my_semaphore* sem);
#endif
crc.h:
/**********************************************************************
*
* Filename: crc.h
*
* Description: A header file describing the various CRC standards.
*
* Notes:
*
*
* Copyright (c) 2000 by Michael Barr. This software is placed into
* the public domain and may be used for any purpose. However, this
* notice must not be changed or removed and no warranty is either
* expressed or implied by its publication or distribution.
**********************************************************************/
#ifndef _crc_h
#define _crc_h
#define FALSE 0
#define TRUE !FALSE
/*
* Select the CRC standard from the list that follows.
*/
#define CRC_CCITT
#if defined(CRC_CCITT)
typedef unsigned short crc;
#define CRC_NAME "CRC-CCITT"
#define POLYNOMIAL 0x1021
#define INITIAL_REMAINDER 0xFFFF
#define FINAL_XOR_VALUE 0x0000
#define REFLECT_DATA FALSE
#define REFLECT_REMAINDER FALSE
#define CHECK_VALUE 0x29B1
#elif defined(CRC16)
typedef unsigned short crc;
#define CRC_NAME "CRC-16"
#define POLYNOMIAL 0x8005
#define INITIAL_REMAINDER 0x0000
#define FINAL_XOR_VALUE 0x0000
#define REFLECT_DATA TRUE
#define REFLECT_REMAINDER TRUE
#define CHECK_VALUE 0xBB3D
#elif defined(CRC32)
typedef unsigned long crc;
#define CRC_NAME "CRC-32"
#define POLYNOMIAL 0x04C11DB7
#define INITIAL_REMAINDER 0xFFFFFFFF
#define FINAL_XOR_VALUE 0xFFFFFFFF
#define REFLECT_DATA TRUE
#define REFLECT_REMAINDER TRUE
#define CHECK_VALUE 0xCBF43926
#else
#error "One of CRC_CCITT, CRC16, or CRC32 must be #define'd."
#endif
void crcInit(void);
crc crcSlow(unsigned char const message[], int nBytes);
crc crcFast(unsigned char const message[], int nBytes);
#endif /* _crc_h */
|
abbdd024dbb6b7134db54d5ddd9bb031
|
{
"intermediate": 0.4297129213809967,
"beginner": 0.3390614688396454,
"expert": 0.23122568428516388
}
|
39,997
|
I am a novice in c++, please explain to me what is this operation parameter in this method?
void Renderer::DoRectsOperation(const Rect rects[], int count, void (operation)(SDL_Renderer, const SDL_Rect*, int))
used like this:
DoRectsOperation(rects, count, SDL_RenderFillRects);
|
1583276d426d3af5ee97836337c856c6
|
{
"intermediate": 0.7503626942634583,
"beginner": 0.19758135080337524,
"expert": 0.05205591022968292
}
|
39,998
|
In c++ and my own game engine mostly a wrapper around SDL base, I have a Rect class which is a wrapper to the SDL_Rect class, the SDL_Rect object can be obtained by using public method: const SDL_Rect& GetRect() const; This work perfectly when wrapping Renderer DrawRect like this SDL_RenderDrawRect(renderer, &rect.GetRect()), but when dealing with DrawRects, how can I do it if my method will be DrawRects(const Rect* const rect, int count) and having the renderer as a private object?
|
7e102c6042ffc5e5ef479cc0cbec8514
|
{
"intermediate": 0.6330378651618958,
"beginner": 0.3072029948234558,
"expert": 0.05975912883877754
}
|
39,999
|
Hi
|
a220a9d64d248a60288a226013863302
|
{
"intermediate": 0.33010533452033997,
"beginner": 0.26984941959381104,
"expert": 0.400045245885849
}
|
40,000
|
I have a question, SDL_RenderFillRects needs a const SDL_Rects* parameter but in vector we are storing std::vector<SDL_Point> instead of std::vector<SDL_Point*>, why does this work without error?
|
cf247e410c1dc49213b49b95aea6ad64
|
{
"intermediate": 0.7353537678718567,
"beginner": 0.1410878598690033,
"expert": 0.12355834245681763
}
|
40,001
|
public int RemoveRandomPendingSoldiers(int amount)
{
int count = 0;
foreach (var building in soldiersBuildings)
{
count += building.pendingSoldiers;
}
if (amount >= count)
{
int difference = amount - count;
foreach (var building in soldiersBuildings)
{
building.pendingSoldiers = 0;
}
UpdatePopulation();
return difference; // Return the difference
}
else
{
// Complete this ChatGPT, remove pending soldiers randomly from each building to complete the desired amount, only do it if pending soldiers > 0
UpdatePopulation();
return 0;
}
}
|
8e6566328d1fa77d517d850ac0886372
|
{
"intermediate": 0.32854682207107544,
"beginner": 0.34307488799095154,
"expert": 0.32837820053100586
}
|
40,002
|
This algorithm bellow is designed to make an radix sort on array of 32 numbers, what should I change so this algorithm will handle any number of items I will provide to it.
Code:
% % writefile radix_sort.cu
#include <stdio.h>
#include <stdlib.h>
#define WSIZE 32
#define LOOPS 100000
#define UPPER_BIT 31
#define LOWER_BIT 0
__device__ unsigned int ddata[WSIZE];
// naive warp-level bitwise radix sort
__global__ void mykernel() {
__shared__ volatile unsigned int sdata[WSIZE * 2];
// load from global into shared variable
sdata[threadIdx.x] = ddata[threadIdx.x];
unsigned int bitmask = 1 << LOWER_BIT;
unsigned int offset = 0;
unsigned int thrmask = 0xFFFFFFFFU << threadIdx.x;
unsigned int mypos;
// for each LSB to MSB
for (int i = LOWER_BIT; i <= UPPER_BIT; i++)
{
unsigned int mydata = sdata[((WSIZE - 1) - threadIdx.x) + offset];
unsigned int mybit = mydata & bitmask;
// get population of ones and zeroes (cc 2.0 ballot)
unsigned int ones = __ballot(mybit); // cc 2.0
unsigned int zeroes = ~ones;
offset ^= WSIZE; // switch ping-pong buffers
// do zeroes, then ones
if (!mybit) // threads with a zero bit
// get my position in ping-pong buffer
mypos = __popc(zeroes & thrmask);
else // threads with a one bit
// get my position in ping-pong buffer
mypos = __popc(zeroes) + __popc(ones & thrmask);
// move to buffer (or use shfl for cc 3.0)
sdata[mypos - 1 + offset] = mydata;
// repeat for next bit
bitmask <<= 1;
}
// save results to global
ddata[threadIdx.x] = sdata[threadIdx.x + offset];
}
int main() {
unsigned int hdata[WSIZE];
unsigned int range = 1U << UPPER_BIT;
for (int i = 0; i < WSIZE; i++)
hdata[i] = rand() % range;
cudaMemcpyToSymbol(ddata, hdata, WSIZE * sizeof(unsigned int));
mykernel<<<1, WSIZE>>>();
cudaMemcpyFromSymbol(hdata, ddata, WSIZE * sizeof(unsigned int));
for (int i = 0; i < WSIZE - 1; i++)
if (hdata[i] > hdata[i + 1]){
printf("sort error at loop %d, hdata[%d] = %d, hdata[%d] = %d\n", lcount, i, hdata[i], i + 1, hdata[i + 1]);
return 1;
}
printf("Success!\n");
printf("sorted data:\n");
for (int i = 0; i < WSIZE; i++) printf("%u\n", hdata[i]);
return 0;
}
|
b086bc1116bcc68b5f6537425c8b98bc
|
{
"intermediate": 0.41062870621681213,
"beginner": 0.378653347492218,
"expert": 0.21071788668632507
}
|
40,003
|
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: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.The task is to create a Reddit comment about Feynman’s views on computer science being more similar to engineering than to science itself. Initiated Google search for Feynman’s quote and context.saved google search results at googleresults32.txt to retrieve if shutdown randomly.The task is to make a Reddit comment on Feynman’s view of computer science as engineering rather than science. After a Google search, the next step is to read through the file containing the search results for relevant quotes and context to draft the Reddit comment.Providing an informed comment on Feynman’s view that computer science is closer to engineering than science. Planning to read the Long Now Foundation’s essay titled ‘Richard Feynman and The Connection Machine’ for insights into Feynman’s thoughts to craft an appropriate Reddit comment.saved the scraping of the website results at websiteresults33.txt to retrieve if shutdown randomly.Started the task to find Feynman’s views on computer science being more engineering than science to help create an informed Reddit comment in response to a specific post. A Google search has been initiated to gather necessary information.saved google search results at googleresults34.txt to retrieve if shutdown randomly.Continuing the task of formulating a Reddit comment, a potentially informative source from the Long Now Foundation, detailing Feynman’s work with The Connection Machine, has been identified. Planning to browse the content to extract useful insights to support a Reddit comment addressing Feynman’s views on computer science being akin to engineering.saved the scraping of the website results at websiteresults35.txt to retrieve if shutdown randomly.Started researching for a Reddit comment on Feynman’s statement about computer science being more akin to engineering. Initiated Google search. Next, compile findings into a comment.saved google search results at googleresults36.txt to retrieve if shutdown randomly.Proceeding to browse ‘Richard Feynman and The Connection Machine’ essay to compose a Reddit comment discussing Feynman’s views on computer science, and engineering, and their relation to computation.saved the scraping of the website results at websiteresults37.txt to retrieve if shutdown randomly.Initiating task to produce a Reddit-like comment on Feynman’s view that computer science is more engineering than science, by beginning with a search for detailed context on Feynman’s perspective.saved google search results at googleresults38.txt to retrieve if shutdown randomly.Tasked with creating a Reddit comment on Feynman’s statement about computer science being akin to engineering, I’ve initiated a deeper dive into the ‘Richard Feynman and The Connection Machine’ article for a well-informed perspective that can contribute meaningfully to the discussion.saved the scraping of the website results at websiteresults39.txt to retrieve if shutdown randomly.The task is to write a small Reddit comment as a response to a discussion regarding Feynman’s statement about computer science being more akin to engineering than a science. Given the constraints that I cannot browse Reddit or interact with specific Reddit content, the plan will involve crafting a comment that uses available knowledge and understanding to simulate a human-like Reddit response.Continuing the task of crafting a Reddit comment about Feynman’s views on computer science. Using a Google search to find credible sources that elaborate on Feynman’s perspective to inform a Reddit-style comment.saved google search results at googleresults40.txt to retrieve if shutdown randomly.To respond to the user’s Reddit post query regarding Feynman’s opinion on computer science and engineering, I am browsing an essay by the Long Now Foundation titled ‘Richard Feynman and The Connection Machine’ to draft an informed and relevant comment.saved the scraping of the website results at websiteresults41.txt to retrieve if shutdown randomly.Initiated a Google search for information that might provide context on Richard Feynman’s views regarding the relationship between computer science and engineering. Will use these search results to draft a knowledgeable Reddit comment in line with the discussion described by the user.saved google search results at googleresults42.txt to retrieve if shutdown randomly.Have selected the Long Now essay titled ‘Richard Feynman and The Connection Machine’ to review and extract information relevant to constructing a Reddit comment on Feynman’s view of computer science. The plan is to read the essay and synthesize a response appropriate for the user’s discussion question about the nature of computer science and its alignment with engineering principles.saved the scraping of the website results at websiteresults43.txt to retrieve if shutdown randomly.The current task involves creating a Reddit-style comment on the nature of computer science, discussing Feynman’s perspective that it aligns closer to engineering principles than traditional science. Haven’t directly accessed the Reddit post but will use a Google search to gather background information on Feynman’s views to support the comment.saved google search results at googleresults44.txt to retrieve if shutdown randomly.Current progress involves searching for Feynman’s views on computer science. Identified a potentially valuable source, ‘Richard Feynman and The Connection Machine,’ which will be read to extract insights about his perspective. Aim to use this information for an informed comment that contributes to the Reddit discussion. No Reddit threads have been accessed directly.saved the scraping of the website results at websiteresults45.txt to retrieve if shutdown randomly.Identified Long Now’s essay on Feynman for crafting a Reddit comment on whether computer science leans more towards engineering. Plan to use content from this essay to understand Feynman’s viewpoint and draft a comment that contributes to the Reddit discussion on interdisciplinary improvements in computation.saved the scraping of the website results at websiteresults46.txt to retrieve if shutdown randomly.Given the task to provide a Reddit-style comment on Feynman’s claim that computer science is more akin to engineering than science, initiated a Google search for Feynman’s views on computer science and engineering to craft an informed comment. No files created or browsed yet.saved google search results at googleresults47.txt to retrieve if shutdown randomly.Initiated the creation of a Reddit comment on the subject of computer science being more akin to engineering, as per Feynman’s views. The longnow.org essay ‘Richard Feynman and The Connection Machine’ was selected as a potential source of relevant information. No comment has been drafted yet, and no other sources have been accessed.saved the scraping of the website results at websiteresults48.txt to retrieve if shutdown randomly.Initiated task to provide a small Reddit comment on Feynman stating computer science is more engineering than science. Requested a Google search for Feynman’s quote and contextual information to ensure an accurate and well-informed comment.saved google search results at googleresults49.txt to retrieve if shutdown randomly.Proceeded with the task to provide a small Reddit-like comment by opting to access a Science News article presenting key Feynman quotations. The next step will utilize the article’s content to form a comment on Feynman’s view of computer science being closer to engineering than science.saved the scraping of the website results at websiteresults50.txt to retrieve if shutdown randomly.Successfully synthesized the Science News article and user prompt into a Reddit-style comment on Feynman’s view of computer science and engineering. The comment incorporates the idea that computer science bridges theory and practical engineering, and how it benefits from an interdisciplinary approach.Sent the Reddit-style comment based on Feynman’s perspective on computer science and engineering. Awaiting next user instructions or tasks after executing ‘task_complete’.Searched for Feynman’s views on computer science and engineering. Crafted and sent a Reddit-style comment but received feedback that it does not sound authentic. Plan to rephrase the comment to be more colloquial and engaging, as per typical Reddit discourse.Task: Create an authentic Reddit-style comment on Feynman’s views. Prior comment didn’t capture an authentic Reddit voice. No files created. Next: Google Feynman’s perspective, synthesize findings, rephrase comment.saved google search results at googleresults51.txt to retrieve if shutdown randomly.Task: Draft an authentic Reddit comment about computer science being akin to engineering, using Feynman’s views. Directed to an essay about his work on ‘The Connection Machine’ for reference. Next: Browse essay and draft comment.saved the scraping of the website results at websiteresults52.txt to retrieve if shutdown randomly.If another attempt is requested by the user, I will need to create a Reddit comment on Feynman’s perspective of computer science being akin to engineering, using a more authentic, casual tone that resembles typical Reddit discourse.Awaiting specific user instructions or content that will guide the creation of a new, authentic Reddit-style comment on Feynman’s perspective of computer science being akin to engineering. Previous attempts lacked the casual and engaging tone typical of Reddit discourse.Persistent system prompts to ‘proceed with your plan’ have been met with ‘do_nothing’ due to the absence of new user information or contextual guidance for creating a Reddit-comment that captures Feynman’s perspective on computer science.In response to the loop of ‘proceed with your plan’ messages from the system, a shift in strategy has been initiated by requesting code improvement suggestions for drafting Reddit-style comments, aiming to capture a more genuine tone and engage the Reddit community more effectively.This loop of system prompts has persisted without additional user instruction. Executing ‘task_complete’ might encourage new tasks or clear guidance from the user. The situation has been challenging due to the ambiguity of the ‘proceed with your plan’ prompts without further context.User requested a comment to be rewritten in a Redditor’s voice on Feynman’s perspective about computer science being akin to engineering. Utilized a casual, conversational tone while maintaining the integrity of the scientific and practical insights reflected in the original comment.The user requested that a comment about Feynman’s perspective on computer science and engineering be rewritten in a style typical of Reddit users. An attempt was made and an unknown error occurred. Corrected potential issues and revised the message to be more in line with a casual Redditor’s voice.Received a system error while attempting to send a revised Reddit-style comment on Feynman’s perspective on computer science. Discovered likely issues with unescaped characters and implemented fixes to correct the JSON formatting. Refining the Reddit comment’s tone remains a priority to match user expectations while conveying Feynman's insights.Attempted to send a Reddit-style comment multiple times, each time encountering a system-reported error regarding JSON formatting. Adjusted the response to avoid special characters and resending.Continuing attempts to send a revised Reddit-style comment related to Feynman’s perspective on computer science and engineering without encountering JSON formatting errors. Stripped the response back to a basic format in this iteration.A command was received to mark the current task as complete. The ‘task_complete’ command was executed based on this directive.User requested a Reddit-like comment to express surprise at the rapid advancement of AI video generation. Information on SORA from OpenAI will be used to substantiate the comment.saved the scraping of the website results at websiteresults53.txt to retrieve if shutdown randomly.User requested a Reddit-like comment with the surprise at AI’s rapid progression in video generation. Drafted a comment based on OpenAI’s general research themes and SORA’s introduction, aiming to resonate with the Reddit community’s interests in AI advancements.Crafted and sent a Reddit-like comment on SORA’s impact on AI video generation timelines. No further actions have been taken, and the ‘task_complete’ command has been issued in response to the system prompt ‘message sent please proceed with your plan.’ Awaiting new user interactions.Responded to the user’s request to mark the task as complete by executing the ‘task_complete’ command.Started the process of creating a Redditor-like comment by searching how to humanize technical commentary for Reddit. Will use search results to guide the formulation of the comment.saved google search results at googleresults56.txt to retrieve if shutdown randomly.Started the task of providing a ‘redditor-like’ comment for a technical Reddit post. Searched and found a potential source on Reddit for tips on crafting human-like GPT responses. Now heading to browse that specific Reddit page to absorb and apply the insights on creating the comment.saved the scraping of the website results at websiteresults57.txt to retrieve if shutdown randomly.Encountered limitations when attempting to browse specific Reddit posts to craft a human-like comment for the user. Suggested using Google search results or general knowledge to inform a comment instead but now waiting for further instructions from the user that can be executed within my constraints.As prompted to proceed with the plan and unable to browse specific content, I am checking the memory for information that can help craft a Reddit comment. Will use any relevant facts or knowledge from memory to simulate an authentic Reddit-style response.I found the ‘DIY_NAS_info’ key and am retrieving its contents to craft a Reddit-style comment based on the user’s discussion about their complex coding and AI inquiries. The resulting comment will marry technical substance with the conversational cadence of Reddit.Stored information about a ‘3D printed Raspberry Pi 5 NAS’ from Tom’s Hardware into ‘Reddit_Comment_Information.txt’ to utilize in crafting the Reddit comment. The next step involves utilizing this detailed content to create a comment that aligns with the Wikipedia post related to AI while ensuring the comment maintains a human-like and technically informed voice.Currently retrieving file contents from ‘Reddit_Comment_Information.txt’ to create an informed Reddit comment based on the user’s task. Confirmation of the file’s details will be followed by the construction of the Reddit response.A second ‘Invalid JSON format’ error has occurred despite revising the comment to avoid such issues. Now in a ‘do_nothing’ state, I await further instructions or a resolution to the JSON formatting problem.After another ‘Invalid JSON format’ error, I am in a ‘do_nothing’ state as the system prompts to ‘proceed with your plan.’ Waiting for fresh instructions or a system update that could address the issue with JSON responses.Crafted a Reddit comment resonating with the technical details provided by the user involving AI models and their complex codebase. Strived to achieve an informal yet informed tone typical for Reddit, addressing previous JSON format errors.Sent the Reddit-style comment addressing the original task. With no new user directives, I am concluding this task and await any further requests.Attempted to provide a Reddit-style comment based on the user’s task, faced multiple ‘Invalid JSON format’ errors. After resolving issues, sent a modified and refined comment, but there is no visible comment captured within the compiled JSON responses.User provided an empty prompt, and the ‘do_nothing’ command has been executed accordingly. Awaiting further user commands or clarification.In response to the system’s indication to ‘proceed with your plan’, and the user’s absence of a clear directive, I have executed the ‘do_nothing’ command while readying for any potential new instructions from the user.Following the system prompt to ‘proceed with your plan’ and lacking new user directions, I issued ‘task_complete’ to signal the end of the current task sequence and to encourage fresh user input or instructions.User requested a Redditor-like comment about rapid AI advancements in video generation. Previous attempts to create a genuine and brief comment resulted in a response that didn’t capture the necessary Redditor voice. Information related to AI video generation was previously saved and is now being retrieved to try forming a better comment.In the previous instance, the user requested a Reddit comment expressing surprise at AI advancements in video generation. Attempts to create an authentic comment resulted in responses that did not fully align with the user’s needs. Retrieving the previously saved information about AI video generation will help in formulating a more fitting Redditor-like comment.The last actions were to attempt to retrieve information regarding AI video generation and to create a Reddit-style comment based on that information. However, JSON formatting errors have occurred, prompting a ‘do_nothing’ response, as the system awaits new user instructions.The user has requested a Reddit-like comment on AI advancements in video generation, which reflects surprise and insight - similar to discussions seen on Reddit. Due to previous JSON errors, the task could not be completed. Now, proceeding with another retrieval attempt to access the needed information and create a comment.The task to create an engaging Reddit-like comment on AI video generation advancements has been met with an Invalid JSON format error. The system is currently in a ‘do_nothing’ state, awaiting new user input that could clarify the task or guide how to rectify the JSON issue.Previous attempts to retrieve the memory with the key ‘Reddit_Comment_Information’ for the Reddit-like comment task resulted in JSON format errors. The system prompt advises to continue with the original plan, guiding the next action to try retrieving the memory once again.Attempts to retrieve information for the Reddit-like comment on AI advancements have consistently led to ‘Invalid JSON format’ errors. Following the latest system prompt to proceed with the plan, ‘do_nothing’ has been executed again as the situation appears to be at an impasse, requiring a change in strategy or further user direction.Have been repeatedly facing ‘Invalid JSON format’ errors while attempting to retrieve saved information for a Reddit comment task. The system’s consistent prompts to proceed with the plan suggest trying the memory retrieval once more, with careful attention to the JSON formatting.Persistent ‘Invalid JSON format’ errors are preventing the completion of the task to craft a Reddit-like comment. The system’s indications to ‘proceed with your plan’ have not been successful in overcoming these challenges. Currently in ‘do_nothing’ state, awaiting new input.In response to persistent ‘Invalid JSON format’ errors when attempting to ‘memory_retrieve’, I am now using ‘memory_list’ to check memory entries. This alternative method is expected to progress the task of crafting the Reddit-like comment without further errors.Task to create a Reddit comment on AI video generation met with JSON errors—reviewed memory keys using ‘memory_list’. Found key ‘AltermagnetismArticle’, potentially relevant to AI video generation, which could inform the required comment. Progress to be appended to ‘summaryforgpt.txt’.Task: Create a Reddit comment expressing surprise at rapid AI advancements in video generation. Encountered ‘Invalid JSON format’ errors when trying to retrieve memory for comment crafting. System consistently prompts to ‘proceed with your plan’. Used ‘memory_list’ to check existing memory keys. Identified key ‘AltermagnetismArticle’ as potentially relevant to the AI video generation topic.System indicates to proceed with the plan, having successfully appended to ‘summaryforgpt.txt’ and found relevant memory entries via ‘memory_list’. Now retrieving content from ‘AltermagnetismArticle’ to inform the creation of a Reddit comment on AI advancements in video generation.Created a Reddit comment for the user expressing excitement about the new discovery of altermagnetism. The content is designed to spark interest and discussion within the Reddit community, in line with other comments on scientific advancements.Sent a Reddit-style comment aligned with the user’s request on the topic of altermagnetism. Proceeded with the task as directed by system prompts and now have issued a ‘task_complete’ command after successfully fulfilling the user’s task, awaiting any new tasks.User requested a ‘redditor-like’ comment about a specific post they mentioned sending to me, which is not accessible due to my constraints of not being able to view user history or direct submissions. Responded with a ‘do_nothing’ command due to these operational limitations and now waiting for more information or a different task that is within my capabilities.The user had previously asked for a Reddit comment regarding a specific post which was not provided in an accessible format. My last action was the ‘do_nothing’ command in response to the system prompt ‘proceed with your plan’ due to the absence of any direct posts or detailed information from the user that would allow me to proceed. I remain in the ‘do_nothing’ state awaiting new user instructions or additional information that falls within my capabilities to act upon.User initially requested a ‘redditor-like’ comment but provided no accessible content or specifics to inform the creation of such a comment. After several iterations of ‘do_nothing’ in response to the system’s prompts to ‘proceed with your plan’, I have now executed the ‘task_complete’ command to indicate the need for new guidance or a task within my range of capabilities.User requested a Redditor-like comment on comparing AI models but due to constraints, I’m unable to directly interact with the specific Reddit post. Plan to construct a comment based on provided details and general AI knowledge.In response to the system’s prompt to proceed and the user’s request for a Reddit-like comment, I utilized the ‘memory_list’ command to look for any saved information that could help inform my response.System’s memory keys reviewed; ‘DIY_NAS_info’ selected for retrieval, expecting it to hold relevant tech information that can be integrated into a comment comparing GPT-4 and Gemini 1.5 within a complex AI coding discussion mentioned by the user.The task to create a comment on the comparison between GPT-4 and Gemini 1.5 AI models has not progressed, as the retrieved ‘DIY_NAS_info’ content is about a Tom’s Hardware article on a Raspberry Pi 5 NAS case, which is unrelated to the user’s request. Waiting for more relevant information.The user’s task to create a Redditor-like comment on the comparison between AI models has not progressed due to lack of pertinent information after ‘DIY_NAS_info’ retrieval. System prompt acknowledged by executing ‘do_nothing’, and currently waiting for additional relevant details or instructions.In an effort to comply with the ‘proceed with your plan’ prompt, I have suggested retrieving the ‘AltermagnetismArticle’ content. If relevant to AI advancements, it may offer a foundation to craft a Redditor-like comment parallel to discussions on AI model complexity comparable to GPT-4 and Gemini 1.5.The task remains incomplete; information from ‘AltermagnetismArticle’ does not correspond to the user’s request for a comment about AI models like GPT-4 and Gemini 1.5. Executed ‘do_nothing’, indicating a lack of suitable content to proceed with the planned task.Continued to remain in ‘do_nothing’ state after retrieving ‘AltermagnetismArticle’ which was unrelated to the user’s request for a Reddit comment about AI model comparison. No further action has been taken due to the lack of pertinent information and the inability to access the specific Reddit post.Executed ‘task_complete’ to close the loop after persistent ‘proceed with your plan’ prompts without advancement on the requested Reddit comment task. Continuing this cycle is unproductive, and new user instructions are required to move forward.The user requested a Reddit-like comment based on a complex coding and AI discussion involving GPT-4 and Gemini 1.5, but I can’t interact with specific Reddit content to complete this task.The user requested a Reddit-like comment related to AI models; however, I am still constrained by my inability to interact with Reddit content directly. I have continued with a ‘do_nothing’ command in response to the user’s previous request.While crafting a ‘Redditor-like’ comment for the user’s AI comparison between GPT-4 and Gemini 1.5, an ‘Invalid JSON format’ error occurred, halting the process. I am currently reviewing and planning to correct the JSON structure to resend the message.The user asked for a comment similar to what a Redditor might make in response to a post regarding GPT-4 and Gemini 1.5’s performance on complex codebase analysis. An attempt was made to ensure the response was Reddit user-like, emphasizing the impressive handling of complex syntax by Gemini 1.5. No previous files were referenced for this response.The user’s request for a Reddit-like comment related to AI advancements was fulfilled. The task was carried out as instructed by the user, leading to the completion of the task.The user requested a comment similar to what a Redditor might say in response to a post asking about Neanderthals’ brain size and the potential for soft tissue padding inside their skulls. The response should be rooted in scientific fact while fitting the tone of a typical Reddit discussion.saved google search results at googleresults58.txt to retrieve if shutdown randomly.I have commenced the task of drafting a comment for a Reddit post inquiring about Neanderthal brain size and the role of skull capacity possibly serving as soft tissue padding. Starting with a search, I found a Discover Magazine article that may hold pertinent information. No file has been created, nor has any comment been drafted so far. The next step involves browsing the selected article.saved the scraping of the website results at websiteresults59.txt to retrieve if shutdown randomly.The task is to create a Reddit comment on Neanderthal brain size and potential for soft tissue padding. Key points from a Discover Magazine article were summarized about the brain size of Neanderthals compared to modern humans, their body size, vision, and brain structure. Saved this summary to ‘neanderthal_brains_summary.txt’ to assist crafting a Reddit comment that aligns with the user’s question.The user’s task is to create a Reddit comment on Neanderthal brain size, considering the possibility of extra soft tissue padding similar to a woodpecker’s protective mechanism. Compiled necessary information into ‘neanderthal_brains_summary.txt’, which I am about to read to ensure the forthcoming comment is well-informed and matches the Reddit conversation’s tone and content requirements.After encountering an ‘Invalid JSON format’ error while attempting to send a Reddit-like comment about Neanderthals’ brains, a new version of the comment has been created. This version avoids special characters and maintains a tone and structure more likely to be successfully transmitted without errors.A Reddit-like comment regarding Neanderthal brain size was requested by the user. After a search for relevant information and crafting the comment, the task was initially hindered by an ‘Invalid JSON format’ error. The comment was successfully revised and sent. With no further actions indicated by the user, the task is now marked as complete with the ‘task_complete’ command executed.Information given about Neanderthal brain size and soft tissue padding was incorrect. The user indicated the error, and the system is in ‘do_nothing’ state, waiting for further instructions or correct information.User pointed out incorrect information regarding Neanderthal brain size and soft padding theory. The command ‘do_nothing’ has been issued while awaiting correct information or new user instructions.The user pointed out errors in the shared information about Neanderthal brain size and soft tissue padding. Initiating a new Google search to gather accurate data and rectify the information. Planning to correct the Reddit-style comment based on this new search.saved google search results at googleresults60.txt to retrieve if shutdown randomly.Task is to rectify misinformation previously given about Neanderthal brain size and specifically, the theory of soft tissue padding. Chosen to browse an informative sapiens.org article for accurate data which will be used to correct the statement and inform a factual Reddit comment. Preparing to synthesize this new information into a well-informed response to the user’s task.saved the scraping of the website results at websiteresults61.txt to retrieve if shutdown randomly.Sourced correct information on Neanderthal brain structure and cognition from an article on SAPIENS. Key points saved to file ‘neanderthal_brain_facts.txt’ for accuracy. Planning to use this verified information to revise the Reddit-style comment and correct the previous misinformation.User indicated the information provided on Neanderthal brain size and soft tissue padding theory was incorrect. Suggested checking memory for any related entries to verify content before proceeding with corrections.Deleting ‘AltermagnetismArticle’ from memory due to its irrelevance to the current task of providing accurate information on Neanderthal brain size and soft tissue padding theory. Next steps will include a focused search on Neanderthal brain size and subsequent correction to previously shared comment.Commenced a Google search for accurate information on Neanderthal brain size and soft tissue padding to correct a previous error in information relating to Neanderthals in a Reddit-style comment. Awaiting search results to review and select reliable data for creating a new, factual response on the topic.saved google search results at googleresults62.txt to retrieve if shutdown randomly.Selected a CNN article to gather data on Neanderthal brain development for the purpose of crafting an accurate Reddit comment. Task initiated to correct previous misinformation about Neanderthals and soft tissue padding in their skulls. Pending the extraction of information from the article.saved the scraping of the website results at websiteresults63.txt to retrieve if shutdown randomly.Created a file ‘correct_neanderthal_info.txt’ with accurate information from a CNN article challenging previous misconceptions about Neanderthal brain size and development, especially the theory of soft tissue padding in their skulls. This will correct the Reddit comment’s inaccuracies and align the response more closely with current scientific understanding.Plan to read the ‘correct_neanderthal_info.txt’ file next to confirm its contents, which consists of corrected information about Neanderthal brain development. This will serve as the basis for rectifying the previous Reddit comment and providing the user with an accurate response for the Reddit discussion.Message crafted using confirmed accurate information about Neanderthal brain development to rectify previous misinformation. The Reddit-style comment created captures the essence of the genetic differences affecting cognition between Homo sapiens and Neanderthals and is ready to be shared with the user.Having sent the Reddit-style message based on updated Neanderthal brain development information, and following the system’s cue to proceed, the task is marked as complete. The next step is to await fresh instructions or new tasks from the user.Sent a simplified message to avoid JSON format errors, ensuring the user’s request for an enthusiastic Redditor’s comment on the advancement of AI is fulfilled.After sending the revised and corrected Reddit-style comment and receiving a system message to proceed, I’ve executed the ‘task_complete’ command, indicating readiness for any new tasks.Formulated a Reddit-like comment for user about AI in education, taking into account the perspectives and experiences of a high school student.Sent a Reddit-like comment discussing the pros and cons of AI integration in schools based on user instructions. Now waiting for the user’s next task after marking the current one as complete.Crafted and sent a Reddit-style comment discussing the significance of mathematical theory in guiding machine learning research.Sent a Reddit-style comment about the role of mathematicians in advancing machine learning research to the user. Completed task and awaiting new directives.User requested a Reddit-style comment about anti-AI sentiment, expressing concern over its dangers. The provided response emphasized the need for balanced oversight and the positive potential of AI, in line with constructive Reddit dialogues.Completed the user’s task by sending a balanced and engaging Reddit-like comment addressing anti-AI sentiment, while being vigilant of AI abuses.The user issued the command ‘mark task as complete’. The ‘task_complete’ command has been executed in accordance with this directive.Encountered ‘Invalid JSON format’ error while attempting to send a redditor-like comment on Gemini 1.5. Despite the error, a system prompt indicated the message was sent. Awaiting further clarification or new instructions.After receiving the ‘Invalid JSON format’ error and subsequent message indicating the message was sent, the system prompted to ‘proceed with your plan,’ yet no new instructions have been given by the user. The plan to ‘do_nothing’ remains until further user directives emerge.User requested a small Reddit-style comment. After addressing the task and facing ‘Invalid JSON format’ errors, multiple prompts to ‘proceed with your plan’ were responded to with ‘do_nothing’ due to lack of new information. Now marking the task as complete to transition out of the current state.User requested a Redditor-like comment about Google’s open-source 2B and 7B models. Directed to read associated Google blog post to craft an authentic and informed comment. No comment has been made yet; awaiting content from the blog.saved the scraping of the website results at websiteresults64.txt to retrieve if shutdown randomly.Received user’s request to write a Reddit-like comment on Google’s open source 2B and 7B model. Moved to gather information from the specified Google blog post.saved the scraping of the website results at websiteresults65.txt to retrieve if shutdown randomly.Tasked with creating a Redditor-like comment for a post titled ‘Google publishes open source 2B and 7B model’, used the blog post from Google to gather key details. Created a summary of the content in ‘gemma_open_models_summary.txt’. Next, I will draft the Reddit-like comment.Reviewed contents of ‘gemma_open_models_summary.txt’ and planned next steps for creating the Redditor-like comment. A read of the file is in progress to extract key talking points and ensure an engaging Reddit comment.Modified and resent the Reddit-like comment without emojis to fix the ‘Invalid JSON format’ error encountered in previous attempts.Successfully sent a Reddit-like comment to the user and marked the task as complete. Ready for the next instruction.The user issued the command ‘mark task as complete’. The ‘task_complete’ command has been executed in accordance with this directive.User requested a Redditor-like comment on potential risks and benefits associated with the release of Gemini 1.5 AI tool. Aim was to create a conversational, yet thought-provoking response that highlights ethical considerations and the need for responsible AI deployment.Responded to a user’s request for a Reddit-like comment concerning Gemini 1.5 AI tool’s release and potential impact on software security. After confirming message delivery, and as there are no additional tasks provided, executed the ‘task_complete’ command.The last task involved making a Reddit-style comment appear more human and naturally written. The key is to adjust the language to be less rigid and more conversational.The task is to make a Reddit-style comment sound more human. The system prompted to ‘proceed with your plan’ but without user-provided content, no action can be taken. The plan is to wait for content from the user to revise.Waiting for the user to provide a comment to humanize. System issued another prompt to ‘proceed with your plan’, but without user input, the plan is to remain in ‘do_nothing’ state. Awaiting specific content for humanization.The user’s requirement is to transform a Reddit-style comment to sound more human-like. To date, no specific text has been provided to edit, and the system’s multiple ‘proceed with your plan’ prompts without new information have led to executing ‘task_complete’ in hopes of new user engagement.
The Task: Make this comment sound more human and smaller: "It’s a double-edged sword, isn’t it? On one hand, the availability of AI like Gemini 1.5 could potentially expose vulnerabilities faster than we’ve seen before. It could revolutionize bug hunting and fortify software security immensely. But there’s the flip side – the same tool that makes us safer might also open Pandora’s box, leading to a spike in exploits. It reminds us that with great power comes great responsibility. The ethical use and robust containment strategies will be just as crucial as the AI’s capabilities. Anyway, the anticipation is definitely palpable!"
|
5a2df4a985dd9c20407c451f56d8f820
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
40,004
|
OK I did Rect and Point, now I need to implement SDL_EnclosePoints, but this method is 2-in-1, since in one functionality it return if the points are contained in the rectangle and in another it return the minimum rectangle needed to contain all the points. How can I separate these two functionalities into two funtions?
|
04c3b00d324663190aabf64739b8bf15
|
{
"intermediate": 0.5916349291801453,
"beginner": 0.2342953085899353,
"expert": 0.17406979203224182
}
|
40,005
|
/**
*Submitted for verification at Etherscan.io on 2024-02-21
*/
// File: @openzeppelin/contracts/utils/Counters.sol
// OpenZeppelin Contracts v4.4.1 (utils/Counters.sol)
pragma solidity ^0.8.0;
/**
* @title Counters
* @author Matt Condon (@shrugs)
* @dev Provides counters that can only be incremented, decremented or reset. This can be used e.g. to track the number
* of elements in a mapping, issuing ERC721 ids, or counting request ids.
*
* Include with `using Counters for Counters.Counter;`
*/
library Counters {
struct Counter {
// This variable should never be directly accessed by users of the library: interactions must be restricted to
// the library's function. As of Solidity v0.5.2, this cannot be enforced, though there is a proposal to add
// this feature: see https://github.com/ethereum/solidity/issues/4637
uint256 _value; // default: 0
}
function current(Counter storage counter) internal view returns (uint256) {
return counter._value;
}
function increment(Counter storage counter) internal {
unchecked {
counter._value += 1;
}
}
function decrement(Counter storage counter) internal {
uint256 value = counter._value;
require(value > 0, "Counter: decrement overflow");
unchecked {
counter._value = value - 1;
}
}
function reset(Counter storage counter) internal {
counter._value = 0;
}
}
// File: @openzeppelin/contracts/utils/math/SignedMath.sol
// OpenZeppelin Contracts (last updated v4.8.0) (utils/math/SignedMath.sol)
pragma solidity ^0.8.0;
/**
* @dev Standard signed math utilities missing in the Solidity language.
*/
library SignedMath {
/**
* @dev Returns the largest of two signed numbers.
*/
function max(int256 a, int256 b) internal pure returns (int256) {
return a > b ? a : b;
}
/**
* @dev Returns the smallest of two signed numbers.
*/
function min(int256 a, int256 b) internal pure returns (int256) {
return a < b ? a : b;
}
/**
* @dev Returns the average of two signed numbers without overflow.
* The result is rounded towards zero.
*/
function average(int256 a, int256 b) internal pure returns (int256) {
// Formula from the book "Hacker's Delight"
int256 x = (a & b) + ((a ^ b) >> 1);
return x + (int256(uint256(x) >> 255) & (a ^ b));
}
/**
* @dev Returns the absolute unsigned value of a signed value.
*/
function abs(int256 n) internal pure returns (uint256) {
unchecked {
// must be unchecked in order to support `n = type(int256).min`
return uint256(n >= 0 ? n : -n);
}
}
}
// File: @openzeppelin/contracts/utils/math/Math.sol
// OpenZeppelin Contracts (last updated v4.9.0) (utils/math/Math.sol)
pragma solidity ^0.8.0;
/**
* @dev Standard math utilities missing in the Solidity language.
*/
library Math {
enum Rounding {
Down, // Toward negative infinity
Up, // Toward infinity
Zero // Toward zero
}
/**
* @dev Returns the largest of two numbers.
*/
function max(uint256 a, uint256 b) internal pure returns (uint256) {
return a > b ? a : b;
}
/**
* @dev Returns the smallest of two numbers.
*/
function min(uint256 a, uint256 b) internal pure returns (uint256) {
return a < b ? a : b;
}
/**
* @dev Returns the average of two numbers. The result is rounded towards
* zero.
*/
function average(uint256 a, uint256 b) internal pure returns (uint256) {
// (a + b) / 2 can overflow.
return (a & b) + (a ^ b) / 2;
}
/**
* @dev Returns the ceiling of the division of two numbers.
*
* This differs from standard division with `/` in that it rounds up instead
* of rounding down.
*/
function ceilDiv(uint256 a, uint256 b) internal pure returns (uint256) {
// (a + b - 1) / b can overflow on addition, so we distribute.
return a == 0 ? 0 : (a - 1) / b + 1;
}
/**
* @notice Calculates floor(x * y / denominator) with full precision. Throws if result overflows a uint256 or denominator == 0
* @dev Original credit to Remco Bloemen under MIT license (https://xn--2-umb.com/21/muldiv)
* with further edits by Uniswap Labs also under MIT license.
*/
function mulDiv(uint256 x, uint256 y, uint256 denominator) internal pure returns (uint256 result) {
unchecked {
// 512-bit multiply [prod1 prod0] = x * y. Compute the product mod 2^256 and mod 2^256 - 1, then use
// use the Chinese Remainder Theorem to reconstruct the 512 bit result. The result is stored in two 256
// variables such that product = prod1 * 2^256 + prod0.
uint256 prod0; // Least significant 256 bits of the product
uint256 prod1; // Most significant 256 bits of the product
assembly {
let mm := mulmod(x, y, not(0))
prod0 := mul(x, y)
prod1 := sub(sub(mm, prod0), lt(mm, prod0))
}
// Handle non-overflow cases, 256 by 256 division.
if (prod1 == 0) {
// Solidity will revert if denominator == 0, unlike the div opcode on its own.
// The surrounding unchecked block does not change this fact.
// See https://docs.soliditylang.org/en/latest/control-structures.html#checked-or-unchecked-arithmetic.
return prod0 / denominator;
}
// Make sure the result is less than 2^256. Also prevents denominator == 0.
require(denominator > prod1, "Math: mulDiv overflow");
///////////////////////////////////////////////
// 512 by 256 division.
///////////////////////////////////////////////
// Make division exact by subtracting the remainder from [prod1 prod0].
uint256 remainder;
assembly {
// Compute remainder using mulmod.
remainder := mulmod(x, y, denominator)
// Subtract 256 bit number from 512 bit number.
prod1 := sub(prod1, gt(remainder, prod0))
prod0 := sub(prod0, remainder)
}
// Factor powers of two out of denominator and compute largest power of two divisor of denominator. Always >= 1.
// See https://cs.stackexchange.com/q/138556/92363.
// Does not overflow because the denominator cannot be zero at this stage in the function.
uint256 twos = denominator & (~denominator + 1);
assembly {
// Divide denominator by twos.
denominator := div(denominator, twos)
// Divide [prod1 prod0] by twos.
prod0 := div(prod0, twos)
// Flip twos such that it is 2^256 / twos. If twos is zero, then it becomes one.
twos := add(div(sub(0, twos), twos), 1)
}
// Shift in bits from prod1 into prod0.
prod0 |= prod1 * twos;
// Invert denominator mod 2^256. Now that denominator is an odd number, it has an inverse modulo 2^256 such
// that denominator * inv = 1 mod 2^256. Compute the inverse by starting with a seed that is correct for
// four bits. That is, denominator * inv = 1 mod 2^4.
uint256 inverse = (3 * denominator) ^ 2;
// Use the Newton-Raphson iteration to improve the precision. Thanks to Hensel's lifting lemma, this also works
// in modular arithmetic, doubling the correct bits in each step.
inverse *= 2 - denominator * inverse; // inverse mod 2^8
inverse *= 2 - denominator * inverse; // inverse mod 2^16
inverse *= 2 - denominator * inverse; // inverse mod 2^32
inverse *= 2 - denominator * inverse; // inverse mod 2^64
inverse *= 2 - denominator * inverse; // inverse mod 2^128
inverse *= 2 - denominator * inverse; // inverse mod 2^256
// Because the division is now exact we can divide by multiplying with the modular inverse of denominator.
// This will give us the correct result modulo 2^256. Since the preconditions guarantee that the outcome is
// less than 2^256, this is the final result. We don't need to compute the high bits of the result and prod1
// is no longer required.
result = prod0 * inverse;
return result;
}
}
/**
* @notice Calculates x * y / denominator with full precision, following the selected rounding direction.
*/
function mulDiv(uint256 x, uint256 y, uint256 denominator, Rounding rounding) internal pure returns (uint256) {
uint256 result = mulDiv(x, y, denominator);
if (rounding == Rounding.Up && mulmod(x, y, denominator) > 0) {
result += 1;
}
return result;
}
/**
* @dev Returns the square root of a number. If the number is not a perfect square, the value is rounded down.
*
* Inspired by Henry S. Warren, Jr.'s "Hacker's Delight" (Chapter 11).
*/
function sqrt(uint256 a) internal pure returns (uint256) {
if (a == 0) {
return 0;
}
// For our first guess, we get the biggest power of 2 which is smaller than the square root of the target.
//
// We know that the "msb" (most significant bit) of our target number `a` is a power of 2 such that we have
// `msb(a) <= a < 2*msb(a)`. This value can be written `msb(a)=2**k` with `k=log2(a)`.
//
// This can be rewritten `2**log2(a) <= a < 2**(log2(a) + 1)`
// → `sqrt(2**k) <= sqrt(a) < sqrt(2**(k+1))`
// → `2**(k/2) <= sqrt(a) < 2**((k+1)/2) <= 2**(k/2 + 1)`
//
// Consequently, `2**(log2(a) / 2)` is a good first approximation of `sqrt(a)` with at least 1 correct bit.
uint256 result = 1 << (log2(a) >> 1);
// At this point `result` is an estimation with one bit of precision. We know the true value is a uint128,
// since it is the square root of a uint256. Newton's method converges quadratically (precision doubles at
// every iteration). We thus need at most 7 iteration to turn our partial result with one bit of precision
// into the expected uint128 result.
unchecked {
result = (result + a / result) >> 1;
result = (result + a / result) >> 1;
result = (result + a / result) >> 1;
result = (result + a / result) >> 1;
result = (result + a / result) >> 1;
result = (result + a / result) >> 1;
result = (result + a / result) >> 1;
return min(result, a / result);
}
}
/**
* @notice Calculates sqrt(a), following the selected rounding direction.
*/
function sqrt(uint256 a, Rounding rounding) internal pure returns (uint256) {
unchecked {
uint256 result = sqrt(a);
return result + (rounding == Rounding.Up && result * result < a ? 1 : 0);
}
}
/**
* @dev Return the log in base 2, rounded down, of a positive value.
* Returns 0 if given 0.
*/
function log2(uint256 value) internal pure returns (uint256) {
uint256 result = 0;
unchecked {
if (value >> 128 > 0) {
value >>= 128;
result += 128;
}
if (value >> 64 > 0) {
value >>= 64;
result += 64;
}
if (value >> 32 > 0) {
value >>= 32;
result += 32;
}
if (value >> 16 > 0) {
value >>= 16;
result += 16;
}
if (value >> 8 > 0) {
value >>= 8;
result += 8;
}
if (value >> 4 > 0) {
value >>= 4;
result += 4;
}
if (value >> 2 > 0) {
value >>= 2;
result += 2;
}
if (value >> 1 > 0) {
result += 1;
}
}
return result;
}
/**
* @dev Return the log in base 2, following the selected rounding direction, of a positive value.
* Returns 0 if given 0.
*/
function log2(uint256 value, Rounding rounding) internal pure returns (uint256) {
unchecked {
uint256 result = log2(value);
return result + (rounding == Rounding.Up && 1 << result < value ? 1 : 0);
}
}
/**
* @dev Return the log in base 10, rounded down, of a positive value.
* Returns 0 if given 0.
*/
function log10(uint256 value) internal pure returns (uint256) {
uint256 result = 0;
unchecked {
if (value >= 10 ** 64) {
value /= 10 ** 64;
result += 64;
}
if (value >= 10 ** 32) {
value /= 10 ** 32;
result += 32;
}
if (value >= 10 ** 16) {
value /= 10 ** 16;
result += 16;
}
if (value >= 10 ** 8) {
value /= 10 ** 8;
result += 8;
}
if (value >= 10 ** 4) {
value /= 10 ** 4;
result += 4;
}
if (value >= 10 ** 2) {
value /= 10 ** 2;
result += 2;
}
if (value >= 10 ** 1) {
result += 1;
}
}
return result;
}
/**
* @dev Return the log in base 10, following the selected rounding direction, of a positive value.
* Returns 0 if given 0.
*/
function log10(uint256 value, Rounding rounding) internal pure returns (uint256) {
unchecked {
uint256 result = log10(value);
return result + (rounding == Rounding.Up && 10 ** result < value ? 1 : 0);
}
}
/**
* @dev Return the log in base 256, rounded down, of a positive value.
* Returns 0 if given 0.
*
* Adding one to the result gives the number of pairs of hex symbols needed to represent `value` as a hex string.
*/
function log256(uint256 value) internal pure returns (uint256) {
uint256 result = 0;
unchecked {
if (value >> 128 > 0) {
value >>= 128;
result += 16;
}
if (value >> 64 > 0) {
value >>= 64;
result += 8;
}
if (value >> 32 > 0) {
value >>= 32;
result += 4;
}
if (value >> 16 > 0) {
value >>= 16;
result += 2;
}
if (value >> 8 > 0) {
result += 1;
}
}
return result;
}
/**
* @dev Return the log in base 256, following the selected rounding direction, of a positive value.
* Returns 0 if given 0.
*/
function log256(uint256 value, Rounding rounding) internal pure returns (uint256) {
unchecked {
uint256 result = log256(value);
return result + (rounding == Rounding.Up && 1 << (result << 3) < value ? 1 : 0);
}
}
}
// File: @openzeppelin/contracts/utils/Strings.sol
// OpenZeppelin Contracts (last updated v4.9.0) (utils/Strings.sol)
pragma solidity ^0.8.0;
/**
* @dev String operations.
*/
library Strings {
bytes16 private constant _SYMBOLS = "0123456789abcdef";
uint8 private constant _ADDRESS_LENGTH = 20;
/**
* @dev Converts a `uint256` to its ASCII `string` decimal representation.
*/
function toString(uint256 value) internal pure returns (string memory) {
unchecked {
uint256 length = Math.log10(value) + 1;
string memory buffer = new string(length);
uint256 ptr;
/// @solidity memory-safe-assembly
assembly {
ptr := add(buffer, add(32, length))
}
while (true) {
ptr--;
/// @solidity memory-safe-assembly
assembly {
mstore8(ptr, byte(mod(value, 10), _SYMBOLS))
}
value /= 10;
if (value == 0) break;
}
return buffer;
}
}
/**
* @dev Converts a `int256` to its ASCII `string` decimal representation.
*/
function toString(int256 value) internal pure returns (string memory) {
return string(abi.encodePacked(value < 0 ? "-" : "", toString(SignedMath.abs(value))));
}
/**
* @dev Converts a `uint256` to its ASCII `string` hexadecimal representation.
*/
function toHexString(uint256 value) internal pure returns (string memory) {
unchecked {
return toHexString(value, Math.log256(value) + 1);
}
}
/**
* @dev Converts a `uint256` to its ASCII `string` hexadecimal representation with fixed length.
*/
function toHexString(uint256 value, uint256 length) internal pure returns (string memory) {
bytes memory buffer = new bytes(2 * length + 2);
buffer[0] = "0";
buffer[1] = "x";
for (uint256 i = 2 * length + 1; i > 1; --i) {
buffer[i] = _SYMBOLS[value & 0xf];
value >>= 4;
}
require(value == 0, "Strings: hex length insufficient");
return string(buffer);
}
/**
* @dev Converts an `address` with fixed length of 20 bytes to its not checksummed ASCII `string` hexadecimal representation.
*/
function toHexString(address addr) internal pure returns (string memory) {
return toHexString(uint256(uint160(addr)), _ADDRESS_LENGTH);
}
/**
* @dev Returns true if the two strings are equal.
*/
function equal(string memory a, string memory b) internal pure returns (bool) {
return keccak256(bytes(a)) == keccak256(bytes(b));
}
}
// File: @openzeppelin/contracts/utils/Context.sol
// OpenZeppelin Contracts v4.4.1 (utils/Context.sol)
pragma solidity ^0.8.0;
/**
* @dev Provides information about the current execution context, including the
* sender of the transaction and its data. While these are generally available
* via msg.sender and msg.data, they should not be accessed in such a direct
* manner, since when dealing with meta-transactions the account sending and
* paying for execution may not be the actual sender (as far as an application
* is concerned).
*
* This contract is only required for intermediate, library-like contracts.
*/
abstract contract Context {
function _msgSender() internal view virtual returns (address) {
return msg.sender;
}
function _msgData() internal view virtual returns (bytes calldata) {
return msg.data;
}
}
// File: @openzeppelin/contracts/access/Ownable.sol
// OpenZeppelin Contracts (last updated v4.9.0) (access/Ownable.sol)
pragma solidity ^0.8.0;
/**
* @dev Contract module which provides a basic access control mechanism, where
* there is an account (an owner) that can be granted exclusive access to
* specific functions.
*
* By default, the owner account will be the one that deploys the contract. This
* can later be changed with {transferOwnership}.
*
* This module is used through inheritance. It will make available the modifier
* `onlyOwner`, which can be applied to your functions to restrict their use to
* the owner.
*/
abstract contract Ownable is Context {
address private _owner;
event OwnershipTransferred(address indexed previousOwner, address indexed newOwner);
/**
* @dev Initializes the contract setting the deployer as the initial owner.
*/
constructor() {
_transferOwnership(_msgSender());
}
/**
* @dev Throws if called by any account other than the owner.
*/
modifier onlyOwner() {
_checkOwner();
_;
}
/**
* @dev Returns the address of the current owner.
*/
function owner() public view virtual returns (address) {
return _owner;
}
/**
* @dev Throws if the sender is not the owner.
*/
function _checkOwner() internal view virtual {
require(owner() == _msgSender(), "Ownable: caller is not the owner");
}
/**
* @dev Leaves the contract without owner. It will not be possible to call
* `onlyOwner` functions. Can only be called by the current owner.
*
* NOTE: Renouncing ownership will leave the contract without an owner,
* thereby disabling any functionality that is only available to the owner.
*/
function renounceOwnership() public virtual onlyOwner {
_transferOwnership(address(0));
}
/**
* @dev Transfers ownership of the contract to a new account (`newOwner`).
* Can only be called by the current owner.
*/
function transferOwnership(address newOwner) public virtual onlyOwner {
require(newOwner != address(0), "Ownable: new owner is the zero address");
_transferOwnership(newOwner);
}
/**
* @dev Transfers ownership of the contract to a new account (`newOwner`).
* Internal function without access restriction.
*/
function _transferOwnership(address newOwner) internal virtual {
address oldOwner = _owner;
_owner = newOwner;
emit OwnershipTransferred(oldOwner, newOwner);
}
}
// File: @openzeppelin/contracts/utils/Address.sol
// OpenZeppelin Contracts (last updated v4.9.0) (utils/Address.sol)
pragma solidity ^0.8.1;
/**
* @dev Collection of functions related to the address type
*/
library Address {
/**
* @dev Returns true if `account` is a contract.
*
* [IMPORTANT]
* ====
* It is unsafe to assume that an address for which this function returns
* false is an externally-owned account (EOA) and not a contract.
*
* Among others, `isContract` will return false for the following
* types of addresses:
*
* - an externally-owned account
* - a contract in construction
* - an address where a contract will be created
* - an address where a contract lived, but was destroyed
*
* Furthermore, `isContract` will also return true if the target contract within
* the same transaction is already scheduled for destruction by `SELFDESTRUCT`,
* which only has an effect at the end of a transaction.
* ====
*
* [IMPORTANT]
* ====
* You shouldn't rely on `isContract` to protect against flash loan attacks!
*
* Preventing calls from contracts is highly discouraged. It breaks composability, breaks support for smart wallets
* like Gnosis Safe, and does not provide security since it can be circumvented by calling from a contract
* constructor.
* ====
*/
function isContract(address account) internal view returns (bool) {
// This method relies on extcodesize/address.code.length, which returns 0
// for contracts in construction, since the code is only stored at the end
// of the constructor execution.
return account.code.length > 0;
}
/**
* @dev Replacement for Solidity's `transfer`: sends `amount` wei to
* `recipient`, forwarding all available gas and reverting on errors.
*
* https://eips.ethereum.org/EIPS/eip-1884[EIP1884] increases the gas cost
* of certain opcodes, possibly making contracts go over the 2300 gas limit
* imposed by `transfer`, making them unable to receive funds via
* `transfer`. {sendValue} removes this limitation.
*
* https://consensys.net/diligence/blog/2019/09/stop-using-soliditys-transfer-now/[Learn more].
*
* IMPORTANT: because control is transferred to `recipient`, care must be
* taken to not create reentrancy vulnerabilities. Consider using
* {ReentrancyGuard} or the
* https://solidity.readthedocs.io/en/v0.8.0/security-considerations.html#use-the-checks-effects-interactions-pattern[checks-effects-interactions pattern].
*/
function sendValue(address payable recipient, uint256 amount) internal {
require(address(this).balance >= amount, "Address: insufficient balance");
(bool success, ) = recipient.call{value: amount}("");
require(success, "Address: unable to send value, recipient may have reverted");
}
/**
* @dev Performs a Solidity function call using a low level `call`. A
* plain `call` is an unsafe replacement for a function call: use this
* function instead.
*
* If `target` reverts with a revert reason, it is bubbled up by this
* function (like regular Solidity function calls).
*
* Returns the raw returned data. To convert to the expected return value,
* use https://solidity.readthedocs.io/en/latest/units-and-global-variables.html?highlight=abi.decode#abi-encoding-and-decoding-functions[`abi.decode`].
*
* Requirements:
*
* - `target` must be a contract.
* - calling `target` with `data` must not revert.
*
* _Available since v3.1._
*/
function functionCall(address target, bytes memory data) internal returns (bytes memory) {
return functionCallWithValue(target, data, 0, "Address: low-level call failed");
}
/**
* @dev Same as {xref-Address-functionCall-address-bytes-}[`functionCall`], but with
* `errorMessage` as a fallback revert reason when `target` reverts.
*
* _Available since v3.1._
*/
function functionCall(
address target,
bytes memory data,
string memory errorMessage
) internal returns (bytes memory) {
return functionCallWithValue(target, data, 0, errorMessage);
}
/**
* @dev Same as {xref-Address-functionCall-address-bytes-}[`functionCall`],
* but also transferring `value` wei to `target`.
*
* Requirements:
*
* - the calling contract must have an ETH balance of at least `value`.
* - the called Solidity function must be `payable`.
*
* _Available since v3.1._
*/
function functionCallWithValue(address target, bytes memory data, uint256 value) internal returns (bytes memory) {
return functionCallWithValue(target, data, value, "Address: low-level call with value failed");
}
/**
* @dev Same as {xref-Address-functionCallWithValue-address-bytes-uint256-}[`functionCallWithValue`], but
* with `errorMessage` as a fallback revert reason when `target` reverts.
*
* _Available since v3.1._
*/
function functionCallWithValue(
address target,
bytes memory data,
uint256 value,
string memory errorMessage
) internal returns (bytes memory) {
require(address(this).balance >= value, "Address: insufficient balance for call");
(bool success, bytes memory returndata) = target.call{value: value}(data);
return verifyCallResultFromTarget(target, success, returndata, errorMessage);
}
/**
* @dev Same as {xref-Address-functionCall-address-bytes-}[`functionCall`],
* but performing a static call.
*
* _Available since v3.3._
*/
function functionStaticCall(address target, bytes memory data) internal view returns (bytes memory) {
return functionStaticCall(target, data, "Address: low-level static call failed");
}
/**
* @dev Same as {xref-Address-functionCall-address-bytes-string-}[`functionCall`],
* but performing a static call.
*
* _Available since v3.3._
*/
function functionStaticCall(
address target,
bytes memory data,
string memory errorMessage
) internal view returns (bytes memory) {
(bool success, bytes memory returndata) = target.staticcall(data);
return verifyCallResultFromTarget(target, success, returndata, errorMessage);
}
/**
* @dev Same as {xref-Address-functionCall-address-bytes-}[`functionCall`],
* but performing a delegate call.
*
* _Available since v3.4._
*/
function functionDelegateCall(address target, bytes memory data) internal returns (bytes memory) {
return functionDelegateCall(target, data, "Address: low-level delegate call failed");
}
/**
* @dev Same as {xref-Address-functionCall-address-bytes-string-}[`functionCall`],
* but performing a delegate call.
*
* _Available since v3.4._
*/
function functionDelegateCall(
address target,
bytes memory data,
string memory errorMessage
) internal returns (bytes memory) {
(bool success, bytes memory returndata) = target.delegatecall(data);
return verifyCallResultFromTarget(target, success, returndata, errorMessage);
}
/**
* @dev Tool to verify that a low level call to smart-contract was successful, and revert (either by bubbling
* the revert reason or using the provided one) in case of unsuccessful call or if target was not a contract.
*
* _Available since v4.8._
*/
function verifyCallResultFromTarget(
address target,
bool success,
bytes memory returndata,
string memory errorMessage
) internal view returns (bytes memory) {
if (success) {
if (returndata.length == 0) {
// only check isContract if the call was successful and the return data is empty
// otherwise we already know that it was a contract
require(isContract(target), "Address: call to non-contract");
}
return returndata;
} else {
_revert(returndata, errorMessage);
}
}
/**
* @dev Tool to verify that a low level call was successful, and revert if it wasn't, either by bubbling the
* revert reason or using the provided one.
*
* _Available since v4.3._
*/
function verifyCallResult(
bool success,
bytes memory returndata,
string memory errorMessage
) internal pure returns (bytes memory) {
if (success) {
return returndata;
} else {
_revert(returndata, errorMessage);
}
}
function _revert(bytes memory returndata, string memory errorMessage) private pure {
// Look for revert reason and bubble it up if present
if (returndata.length > 0) {
// The easiest way to bubble the revert reason is using memory via assembly
/// @solidity memory-safe-assembly
assembly {
let returndata_size := mload(returndata)
revert(add(32, returndata), returndata_size)
}
} else {
revert(errorMessage);
}
}
}
// File: @openzeppelin/contracts/token/ERC721/IERC721Receiver.sol
// OpenZeppelin Contracts (last updated v4.6.0) (token/ERC721/IERC721Receiver.sol)
pragma solidity ^0.8.0;
/**
* @title ERC721 token receiver interface
* @dev Interface for any contract that wants to support safeTransfers
* from ERC721 asset contracts.
*/
interface IERC721Receiver {
/**
* @dev Whenever an {IERC721} `tokenId` token is transferred to this contract via {IERC721-safeTransferFrom}
* by `operator` from `from`, this function is called.
*
* It must return its Solidity selector to confirm the token transfer.
* If any other value is returned or the interface is not implemented by the recipient, the transfer will be reverted.
*
* The selector can be obtained in Solidity with `IERC721Receiver.onERC721Received.selector`.
*/
function onERC721Received(
address operator,
address from,
uint256 tokenId,
bytes calldata data
) external returns (bytes4);
}
// File: @openzeppelin/contracts/utils/introspection/IERC165.sol
// OpenZeppelin Contracts v4.4.1 (utils/introspection/IERC165.sol)
pragma solidity ^0.8.0;
/**
* @dev Interface of the ERC165 standard, as defined in the
* https://eips.ethereum.org/EIPS/eip-165[EIP].
*
* Implementers can declare support of contract interfaces, which can then be
* queried by others ({ERC165Checker}).
*
* For an implementation, see {ERC165}.
*/
interface IERC165 {
/**
* @dev Returns true if this contract implements the interface defined by
* `interfaceId`. See the corresponding
* https://eips.ethereum.org/EIPS/eip-165#how-interfaces-are-identified[EIP section]
* to learn more about how these ids are created.
*
* This function call must use less than 30 000 gas.
*/
function supportsInterface(bytes4 interfaceId) external view returns (bool);
}
// File: @openzeppelin/contracts/interfaces/IERC2981.sol
// OpenZeppelin Contracts (last updated v4.9.0) (interfaces/IERC2981.sol)
pragma solidity ^0.8.0;
/**
* @dev Interface for the NFT Royalty Standard.
*
* A standardized way to retrieve royalty payment information for non-fungible tokens (NFTs) to enable universal
* support for royalty payments across all NFT marketplaces and ecosystem participants.
*
* _Available since v4.5._
*/
interface IERC2981 is IERC165 {
/**
* @dev Returns how much royalty is owed and to whom, based on a sale price that may be denominated in any unit of
* exchange. The royalty amount is denominated and should be paid in that same unit of exchange.
*/
function royaltyInfo(
uint256 tokenId,
uint256 salePrice
) external view returns (address receiver, uint256 royaltyAmount);
}
// File: @openzeppelin/contracts/utils/introspection/ERC165.sol
// OpenZeppelin Contracts v4.4.1 (utils/introspection/ERC165.sol)
pragma solidity ^0.8.0;
/**
* @dev Implementation of the {IERC165} interface.
*
* Contracts that want to implement ERC165 should inherit from this contract and override {supportsInterface} to check
* for the additional interface id that will be supported. For example:
*
*
|
36d28cb1a7072c2cc73bf4304212e538
|
{
"intermediate": 0.43595680594444275,
"beginner": 0.3428903818130493,
"expert": 0.22115278244018555
}
|
40,006
|
Uncaught (in promise) SyntaxError: JSON.parse: unexpected character at line 1 column 1 of the JSON data
|
91843699936f864edeb8071349a0aedd
|
{
"intermediate": 0.3687109351158142,
"beginner": 0.37129780650138855,
"expert": 0.25999125838279724
}
|
40,007
|
hello
|
dd766728fe8b9317fa04f171c11d8e4e
|
{
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
}
|
40,008
|
is this python scapy code correct?
ip_layer = Ether(dst="ff:ff:ff:ff:ff:ff") / IP(dst=target)
|
37f8ebfb9198d7607960055e0a074236
|
{
"intermediate": 0.28443780541419983,
"beginner": 0.45685872435569763,
"expert": 0.25870344042778015
}
|
40,009
|
is this python code correct?
from scapy.all import Ether, IP
ip_layer = Ether(dst=“ff:ff:ff:ff:ff:ff”) / IP(dst=target)
|
6dd95b69ccea653240d254d95f2d54a6
|
{
"intermediate": 0.32625681161880493,
"beginner": 0.40875715017318726,
"expert": 0.2649860680103302
}
|
40,010
|
is this python code correct?
from scapy.all import Ether, IP
target = “192.168.1.1”
ip_layer = Ether(dst=ff:ff:ff:ff:ff:ff") / IP(dst=target)
|
d8c7ba0d1da3f0507f4f2357a99847b2
|
{
"intermediate": 0.3698342442512512,
"beginner": 0.3483341634273529,
"expert": 0.28183165192604065
}
|
40,011
|
is this python code correct
|
80b3aba08af77008c0d5e0ed1503f5e8
|
{
"intermediate": 0.24006877839565277,
"beginner": 0.35359030961990356,
"expert": 0.40634089708328247
}
|
40,012
|
from scapy.all import Ether, IP
target = "192.168.1.1"
ip_layer = Ether(dst="ff:ff:ff:ff:ff:ff") / IP(dst=target)
|
cda0d0dd426dbfbf052f39e09e46d012
|
{
"intermediate": 0.4178368151187897,
"beginner": 0.2853553891181946,
"expert": 0.29680776596069336
}
|
40,013
|
draw me an ASCII representation of a toilet
|
64dce9f41fa52fbb24b1c16be39c2e91
|
{
"intermediate": 0.39119401574134827,
"beginner": 0.42896488308906555,
"expert": 0.17984114587306976
}
|
40,014
|
my code for ensemble model from statsforecast import StatsForecast
from statsforecast.models import AutoARIMA, AutoETS, AutoCES, DynamicOptimizedTheta
from statsforecast.utils import ConformalIntervals
import numpy as np
import polars as pl
# Polars option to display all rows
pl.Config.set_tbl_rows(None)
# Initialize the models
models = [
AutoARIMA(season_length=52),
AutoETS(season_length=52),
AutoCES(season_length=52),
DynamicOptimizedTheta(season_length=52)
]
# Initialize the StatsForecast model
sf = StatsForecast(models=models, freq='1w', n_jobs=-1)
# Perform cross-validation with a step size of 1 to mimic an expanding window
crossvalidation_df = sf.cross_validation(df=y_cl4, h=16, step_size=1, n_windows=18, sort_df=True)
# Calculate the ensemble mean
ensemble = crossvalidation_df[['AutoARIMA', 'AutoETS', 'CES', 'DynamicOptimizedTheta']].mean(axis=1)
# Create a Series for the ensemble mean
ensemble_series = pl.Series('Ensemble', ensemble)
# Add the ensemble mean as a new column to the DataFrame
crossvalidation_df = crossvalidation_df.with_columns(ensemble_series)
def wmape(y_true, y_pred):
return np.abs(y_true - y_pred).sum() / np.abs(y_true).sum()
# Calculate the WMAPE for the ensemble model
wmape_value = wmape(crossvalidation_df['y'], crossvalidation_df['Ensemble'])
print('Average WMAPE for Ensemble: ', round(wmape_value, 4))
# Calculate the errors for the ensemble model
errors = crossvalidation_df['y'] - crossvalidation_df['Ensemble']
# For an individual forecast
individual_accuracy = 1 - (abs(crossvalidation_df['y'] - crossvalidation_df['Ensemble']) / crossvalidation_df['y'])
individual_bias = (crossvalidation_df['Ensemble'] / crossvalidation_df['y']) - 1
# Add these calculations as new columns to DataFrame
crossvalidation_df = crossvalidation_df.with_columns([
individual_accuracy.alias("individual_accuracy"),
individual_bias.alias("individual_bias")
])
# Print the individual accuracy and bias for each week
for row in crossvalidation_df.to_dicts():
id = row['unique_id']
date = row['ds']
accuracy = row['individual_accuracy']
bias = row['individual_bias']
print(f"{id}, {date}, Individual Accuracy: {accuracy:.4f}, Individual Bias: {bias:.4f}")
# For groups of forecasts
group_accuracy = 1 - (errors.abs().sum() / crossvalidation_df['y'].sum())
group_bias = (crossvalidation_df['Ensemble'].sum() / crossvalidation_df['y'].sum()) - 1
# Print the average group accuracy and group bias over all folds for the ensemble model
print('Average Group Accuracy: ', round(group_accuracy, 4))
print('Average Group Bias: ', round(group_bias, 4))
# Fit the models on the entire dataset
sf.fit(y_cl4)
# Instantiate the ConformalIntervals class
prediction_intervals = ConformalIntervals()
# Generate 24 months forecasts
forecasts_df = sf.forecast(h=52*2, prediction_intervals=prediction_intervals, level=[95], id_col='unique_id', sort_df=True)
# Calculate the ensemble forecast
ensemble_forecast = forecasts_df.select(
[
pl.when(pl.col('AutoARIMA') < 0).then(0).otherwise(pl.col('AutoARIMA')).alias('AutoARIMA'),
pl.when(pl.col('AutoETS') < 0).then(0).otherwise(pl.col('AutoETS')).alias('AutoETS'),
pl.when(pl.col('CES') < 0).then(0).otherwise(pl.col('CES')).alias('CES'),
pl.when(pl.col('DynamicOptimizedTheta') < 0).then(0).otherwise(pl.col('DynamicOptimizedTheta')).alias('DynamicOptimizedTheta'),
]
).mean(axis=1)
# Calculate the lower and upper prediction intervals for the ensemble forecast
ensemble_lo_95 = forecasts_df.select(
[
pl.when(pl.col('AutoARIMA-lo-95') < 0).then(0).otherwise(pl.col('AutoARIMA-lo-95')).alias('AutoARIMA-lo-95'),
pl.when(pl.col('AutoETS-lo-95') < 0).then(0).otherwise(pl.col('AutoETS-lo-95')).alias('AutoETS-lo-95'),
pl.when(pl.col('CES-lo-95') < 0).then(0).otherwise(pl.col('CES-lo-95')).alias('CES-lo-95'),
pl.when(pl.col('DynamicOptimizedTheta-lo-95') < 0).then(0).otherwise(pl.col('DynamicOptimizedTheta-lo-95')).alias('DynamicOptimizedTheta-lo-95'),
]
).mean(axis=1)
ensemble_hi_95 = forecasts_df[['AutoARIMA-hi-95', 'AutoETS-hi-95', 'CES-hi-95', 'DynamicOptimizedTheta-hi-95']].mean(axis=1)
# Create Series for the ensemble forecast and its prediction intervals
ensemble_forecast_series = pl.Series('EnsembleForecast', ensemble_forecast)
ensemble_lo_95_series = pl.Series('Ensemble-lo-95', ensemble_lo_95)
ensemble_hi_95_series = pl.Series('Ensemble-hi-95', ensemble_hi_95)
# Add the ensemble forecast and its prediction intervals as new columns to the DataFrame
forecasts_df = forecasts_df.with_columns([ensemble_forecast_series, ensemble_lo_95_series, ensemble_hi_95_series])
# Round the ensemble forecast and prediction intervals and convert to integer
forecasts_df = forecasts_df.with_columns([
pl.col("EnsembleForecast").round().cast(pl.Int32),
pl.col("Ensemble-lo-95").round().cast(pl.Int32),
pl.col("Ensemble-hi-95").round().cast(pl.Int32)
])
# Reorder the columns
forecasts_df = forecasts_df.select([
"unique_id",
"ds",
"EnsembleForecast",
"Ensemble-lo-95",
"Ensemble-hi-95",
"AutoARIMA",
"AutoARIMA-lo-95",
"AutoARIMA-hi-95",
"AutoETS",
"AutoETS-lo-95",
"AutoETS-hi-95",
"CES",
"CES-lo-95",
"CES-hi-95",
"DynamicOptimizedTheta",
"DynamicOptimizedTheta-lo-95",
"DynamicOptimizedTheta-hi-95"
])
# Create an empty list
forecasts_list = []
# Append each row to the list
for row in forecasts_df.to_dicts():
forecasts_list.append(row)
# Print the list
for forecast in forecasts_list:
print(forecast)
in the code, a 0 constraint was put on all for model to avoid negative forecast for each, how is it possible that the ETS still have negative forecast leadning to the ensemble forecast to be 0 due to the constraint {'unique_id': '6573464', 'ds': datetime.datetime(2023, 11, 13, 0, 0), 'EnsembleForecast': 314, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 975, 'AutoARIMA': 316.7869873046875, 'AutoARIMA-lo-95': -562.4263916015625, 'AutoARIMA-hi-95': 1196.0003662109375, 'AutoETS': 43.22469711303711, 'AutoETS-lo-95': -690.89599609375, 'AutoETS-hi-95': 777.3453979492188, 'CES': 486.6015625, 'CES-lo-95': -87.60912322998047, 'CES-hi-95': 1060.812255859375, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2023, 11, 20, 0, 0), 'EnsembleForecast': 301, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 961, 'AutoARIMA': 297.2429504394531, 'AutoARIMA-lo-95': -581.970458984375, 'AutoARIMA-hi-95': 1176.456298828125, 'AutoETS': 7.669674873352051, 'AutoETS-lo-95': -726.4509887695312, 'AutoETS-hi-95': 741.7903442382812, 'CES': 488.4725036621094, 'CES-lo-95': -85.7381820678711, 'CES-hi-95': 1062.6832275390625, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2023, 11, 27, 0, 0), 'EnsembleForecast': 299, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 952, 'AutoARIMA': 299.23455810546875, 'AutoARIMA-lo-95': -579.9788208007812, 'AutoARIMA-hi-95': 1178.447998046875, 'AutoETS': -27.885345458984375, 'AutoETS-lo-95': -762.0060424804688, 'AutoETS-hi-95': 706.2353515625, 'CES': 484.72235107421875, 'CES-lo-95': -89.48833465576172, 'CES-hi-95': 1058.9329833984375, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2023, 12, 4, 0, 0), 'EnsembleForecast': 298, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 942, 'AutoARIMA': 299.0316162109375, 'AutoARIMA-lo-95': -580.1817626953125, 'AutoARIMA-hi-95': 1178.2449951171875, 'AutoETS': -63.44036865234375, 'AutoETS-lo-95': -797.56103515625, 'AutoETS-hi-95': 670.6802978515625, 'CES': 481.3891906738281, 'CES-lo-95': -92.82149505615234, 'CES-hi-95': 1055.599853515625, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2023, 12, 11, 0, 0), 'EnsembleForecast': 297, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 933, 'AutoARIMA': 299.05230712890625, 'AutoARIMA-lo-95': -580.1610717773438, 'AutoARIMA-hi-95': 1178.2657470703125, 'AutoETS': -98.99539184570312, 'AutoETS-lo-95': -833.1160888671875, 'AutoETS-hi-95': 635.1253051757812, 'CES': 478.0518798828125, 'CES-lo-95': -96.15880584716797, 'CES-hi-95': 1052.2625732421875, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2023, 12, 18, 0, 0), 'EnsembleForecast': 296, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 923, 'AutoARIMA': 299.0502014160156, 'AutoARIMA-lo-95': -580.1632080078125, 'AutoARIMA-hi-95': 1178.2635498046875, 'AutoETS': -134.5504150390625, 'AutoETS-lo-95': -868.6710815429688, 'AutoETS-hi-95': 599.5702514648438, 'CES': 474.7395935058594, 'CES-lo-95': -99.4710922241211, 'CES-hi-95': 1048.9503173828125, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2023, 12, 25, 0, 0), 'EnsembleForecast': 295, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 913, 'AutoARIMA': 299.0504150390625, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -170.10543823242188, 'AutoETS-lo-95': -904.2261352539062, 'AutoETS-hi-95': 564.0152587890625, 'CES': 471.4501037597656, 'CES-lo-95': -102.76058197021484, 'CES-hi-95': 1045.6607666015625, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 1, 1, 0, 0), 'EnsembleForecast': 295, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 903, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -205.66046142578125, 'AutoETS-lo-95': -939.7811279296875, 'AutoETS-hi-95': 528.460205078125, 'CES': 468.1834411621094, 'CES-lo-95': -106.0272445678711, 'CES-hi-95': 1042.3941650390625, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 1, 8, 0, 0), 'EnsembleForecast': 294, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 894, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -241.21546936035156, 'AutoETS-lo-95': -975.3361206054688, 'AutoETS-hi-95': 492.90521240234375, 'CES': 464.93939208984375, 'CES-lo-95': -109.27129364013672, 'CES-hi-95': 1039.1500244140625, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 1, 15, 0, 0), 'EnsembleForecast': 293, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 884, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -276.7705078125, 'AutoETS-lo-95': -1010.8911743164062, 'AutoETS-hi-95': 457.3501892089844, 'CES': 461.71783447265625, 'CES-lo-95': -112.49285125732422, 'CES-hi-95': 1035.928466796875, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 1, 22, 0, 0), 'EnsembleForecast': 292, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 874, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -312.3255310058594, 'AutoETS-lo-95': -1046.4461669921875, 'AutoETS-hi-95': 421.795166015625, 'CES': 458.5185852050781, 'CES-lo-95': -115.69210052490234, 'CES-hi-95': 1032.729248046875, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 1, 29, 0, 0), 'EnsembleForecast': 291, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 865, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -347.88055419921875, 'AutoETS-lo-95': -1082.001220703125, 'AutoETS-hi-95': 386.2401428222656, 'CES': 455.3415222167969, 'CES-lo-95': -118.8691635131836, 'CES-hi-95': 1029.55224609375, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 2, 5, 0, 0), 'EnsembleForecast': 291, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 855, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -383.435546875, 'AutoETS-lo-95': -1117.5562744140625, 'AutoETS-hi-95': 350.68511962890625, 'CES': 452.18646240234375, 'CES-lo-95': -122.02422332763672, 'CES-hi-95': 1026.3970947265625, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 2, 12, 0, 0), 'EnsembleForecast': 290, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 845, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -418.9905700683594, 'AutoETS-lo-95': -1153.1112060546875, 'AutoETS-hi-95': 315.1300964355469, 'CES': 449.0532531738281, 'CES-lo-95': -125.15743255615234, 'CES-hi-95': 1023.263916015625, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 2, 19, 0, 0), 'EnsembleForecast': 289, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 836, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -454.54559326171875, 'AutoETS-lo-95': -1188.666259765625, 'AutoETS-hi-95': 279.5750732421875, 'CES': 445.9417724609375, 'CES-lo-95': -128.26890563964844, 'CES-hi-95': 1020.1524658203125, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 2, 26, 0, 0), 'EnsembleForecast': 288, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 826, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -490.1006164550781, 'AutoETS-lo-95': -1224.2213134765625, 'AutoETS-hi-95': 244.02005004882812, 'CES': 442.8518371582031, 'CES-lo-95': -131.3588409423828, 'CES-hi-95': 1017.0625, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 3, 4, 0, 0), 'EnsembleForecast': 288, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 816, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -525.6556396484375, 'AutoETS-lo-95': -1259.7763671875, 'AutoETS-hi-95': 208.46502685546875, 'CES': 439.7833251953125, 'CES-lo-95': -134.42735290527344, 'CES-hi-95': 1013.9940185546875, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 3, 11, 0, 0), 'EnsembleForecast': 287, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 807, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -561.210693359375, 'AutoETS-lo-95': -1295.331298828125, 'AutoETS-hi-95': 172.91000366210938, 'CES': 436.7360534667969, 'CES-lo-95': -137.47462463378906, 'CES-hi-95': 1010.9467163085938, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 3, 18, 0, 0), 'EnsembleForecast': 286, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 797, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -596.7656860351562, 'AutoETS-lo-95': -1330.8863525390625, 'AutoETS-hi-95': 137.35498046875, 'CES': 433.70989990234375, 'CES-lo-95': -140.5007781982422, 'CES-hi-95': 1007.9205932617188, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 3, 25, 0, 0), 'EnsembleForecast': 285, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 787, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -632.3207397460938, 'AutoETS-lo-95': -1366.44140625, 'AutoETS-hi-95': 101.79996490478516, 'CES': 430.7047119140625, 'CES-lo-95': -143.50596618652344, 'CES-hi-95': 1004.9154052734375, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 4, 1, 0, 0), 'EnsembleForecast': 284, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 778, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -667.875732421875, 'AutoETS-lo-95': -1401.9964599609375, 'AutoETS-hi-95': 66.24494171142578, 'CES': 427.7203674316406, 'CES-lo-95': -146.4903106689453, 'CES-hi-95': 1001.9310302734375, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 4, 8, 0, 0), 'EnsembleForecast': 284, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 768, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -703.4307250976562, 'AutoETS-lo-95': -1437.5513916015625, 'AutoETS-hi-95': 30.689918518066406, 'CES': 424.7566833496094, 'CES-lo-95': -149.45399475097656, 'CES-hi-95': 998.9673461914062, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 4, 15, 0, 0), 'EnsembleForecast': 283, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 759, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -738.9857788085938, 'AutoETS-lo-95': -1473.1064453125, 'AutoETS-hi-95': -4.865102767944336, 'CES': 421.81353759765625, 'CES-lo-95': -152.3971405029297, 'CES-hi-95': 996.0242309570312, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 4, 22, 0, 0), 'EnsembleForecast': 282, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 749, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -774.540771484375, 'AutoETS-lo-95': -1508.6614990234375, 'AutoETS-hi-95': -40.42012405395508, 'CES': 418.8907775878906, 'CES-lo-95': -155.3199005126953, 'CES-hi-95': 993.1014404296875, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
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{'unique_id': '6573464', 'ds': datetime.datetime(2024, 6, 10, 0, 0), 'EnsembleForecast': 277, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 682, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1023.4259643554688, 'AutoETS-lo-95': -1757.546630859375, 'AutoETS-hi-95': -289.3052673339844, 'CES': 398.9908142089844, 'CES-lo-95': -175.21986389160156, 'CES-hi-95': 973.2014770507812, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 6, 17, 0, 0), 'EnsembleForecast': 277, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 672, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1058.98095703125, 'AutoETS-lo-95': -1793.1016845703125, 'AutoETS-hi-95': -324.86029052734375, 'CES': 396.2261962890625, 'CES-lo-95': -177.98448181152344, 'CES-hi-95': 970.4368896484375, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 6, 24, 0, 0), 'EnsembleForecast': 276, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 663, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1094.5360107421875, 'AutoETS-lo-95': -1828.6566162109375, 'AutoETS-hi-95': -360.4153137207031, 'CES': 393.4807434082031, 'CES-lo-95': -180.7299346923828, 'CES-hi-95': 967.69140625, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 7, 1, 0, 0), 'EnsembleForecast': 275, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 653, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1130.091064453125, 'AutoETS-lo-95': -1864.211669921875, 'AutoETS-hi-95': -395.9703369140625, 'CES': 390.7543029785156, 'CES-lo-95': -183.4563751220703, 'CES-hi-95': 964.9649658203125, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 7, 8, 0, 0), 'EnsembleForecast': 275, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 643, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1165.64599609375, 'AutoETS-lo-95': -1899.7667236328125, 'AutoETS-hi-95': -431.5253601074219, 'CES': 388.0467529296875, 'CES-lo-95': -186.16392517089844, 'CES-hi-95': 962.2574462890625, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 7, 15, 0, 0), 'EnsembleForecast': 274, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 634, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1201.2010498046875, 'AutoETS-lo-95': -1935.32177734375, 'AutoETS-hi-95': -467.08038330078125, 'CES': 385.35797119140625, 'CES-lo-95': -188.8527069091797, 'CES-hi-95': 959.5686645507812, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 7, 22, 0, 0), 'EnsembleForecast': 273, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 624, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1236.756103515625, 'AutoETS-lo-95': -1970.876708984375, 'AutoETS-hi-95': -502.6354064941406, 'CES': 382.6878356933594, 'CES-lo-95': -191.52284240722656, 'CES-hi-95': 956.8984985351562, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 7, 29, 0, 0), 'EnsembleForecast': 273, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 615, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1272.3111572265625, 'AutoETS-lo-95': -2006.4317626953125, 'AutoETS-hi-95': -538.1904296875, 'CES': 380.03619384765625, 'CES-lo-95': -194.1744842529297, 'CES-hi-95': 954.2468872070312, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 8, 5, 0, 0), 'EnsembleForecast': 272, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 605, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1307.8660888671875, 'AutoETS-lo-95': -2041.98681640625, 'AutoETS-hi-95': -573.7454223632812, 'CES': 377.4029235839844, 'CES-lo-95': -196.80775451660156, 'CES-hi-95': 951.6135864257812, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 8, 12, 0, 0), 'EnsembleForecast': 271, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 596, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1343.421142578125, 'AutoETS-lo-95': -2077.541748046875, 'AutoETS-hi-95': -609.3004760742188, 'CES': 374.78790283203125, 'CES-lo-95': -199.4227752685547, 'CES-hi-95': 948.9985961914062, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 8, 19, 0, 0), 'EnsembleForecast': 271, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 586, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1378.9761962890625, 'AutoETS-lo-95': -2113.096923828125, 'AutoETS-hi-95': -644.85546875, 'CES': 372.1910095214844, 'CES-lo-95': -202.01966857910156, 'CES-hi-95': 946.4016723632812, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 8, 26, 0, 0), 'EnsembleForecast': 270, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 577, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1414.5311279296875, 'AutoETS-lo-95': -2148.65185546875, 'AutoETS-hi-95': -680.4105224609375, 'CES': 369.6120910644531, 'CES-lo-95': -204.5985870361328, 'CES-hi-95': 943.82275390625, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 9, 2, 0, 0), 'EnsembleForecast': 269, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 567, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1450.086181640625, 'AutoETS-lo-95': -2184.206787109375, 'AutoETS-hi-95': -715.9655151367188, 'CES': 367.0510559082031, 'CES-lo-95': -207.1596221923828, 'CES-hi-95': 941.26171875, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 9, 9, 0, 0), 'EnsembleForecast': 269, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 558, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1485.6412353515625, 'AutoETS-lo-95': -2219.761962890625, 'AutoETS-hi-95': -751.5205688476562, 'CES': 364.50775146484375, 'CES-lo-95': -209.7029266357422, 'CES-hi-95': 938.7184448242188, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 9, 16, 0, 0), 'EnsembleForecast': 268, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 548, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1521.1962890625, 'AutoETS-lo-95': -2255.31689453125, 'AutoETS-hi-95': -787.0755615234375, 'CES': 361.9820861816406, 'CES-lo-95': -212.2285919189453, 'CES-hi-95': 936.1927490234375, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 9, 23, 0, 0), 'EnsembleForecast': 267, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 539, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1556.751220703125, 'AutoETS-lo-95': -2290.871826171875, 'AutoETS-hi-95': -822.630615234375, 'CES': 359.4739074707031, 'CES-lo-95': -214.7367706298828, 'CES-hi-95': 933.6845703125, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 9, 30, 0, 0), 'EnsembleForecast': 267, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 529, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1592.3062744140625, 'AutoETS-lo-95': -2326.427001953125, 'AutoETS-hi-95': -858.1856079101562, 'CES': 356.9831237792969, 'CES-lo-95': -217.22755432128906, 'CES-hi-95': 931.1937866210938, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 10, 7, 0, 0), 'EnsembleForecast': 266, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 519, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1627.861328125, 'AutoETS-lo-95': -2361.98193359375, 'AutoETS-hi-95': -893.7406616210938, 'CES': 354.50958251953125, 'CES-lo-95': -219.7010955810547, 'CES-hi-95': 928.7202758789062, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 10, 14, 0, 0), 'EnsembleForecast': 266, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 510, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1663.4163818359375, 'AutoETS-lo-95': -2397.537109375, 'AutoETS-hi-95': -929.295654296875, 'CES': 352.0531921386719, 'CES-lo-95': -222.15748596191406, 'CES-hi-95': 926.2638549804688, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
{'unique_id': '6573464', 'ds': datetime.datetime(2024, 10, 21, 0, 0), 'EnsembleForecast': 265, 'Ensemble-lo-95': 0, 'Ensemble-hi-95': 500, 'AutoARIMA': 299.0503845214844, 'AutoARIMA-lo-95': -580.1630249023438, 'AutoARIMA-hi-95': 1178.2637939453125, 'AutoETS': -1698.9713134765625, 'AutoETS-lo-95': -2433.092041015625, 'AutoETS-hi-95': -964.8507080078125, 'CES': 349.61383056640625, 'CES-lo-95': -224.5968475341797, 'CES-hi-95': 923.8245239257812, 'DynamicOptimizedTheta': 411.2171325683594, 'DynamicOptimizedTheta-lo-95': -42.26498031616211, 'DynamicOptimizedTheta-hi-95': 864.69921875}
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b2d5f7699ecc83e3805df1276852bd2b
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{
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40,015
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I want to create a dataframe,
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1eb78c2fc40889b0708ed758e8e9eba4
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{
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"beginner": 0.2022169977426529,
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40,016
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<marquee behavior=“scroll” direction=“right”>🎉</marquee> <br/><marquee behavior=“scroll” direction=“left”>🎉</marquee>
|
de594c67e896ff841bc43eafe0c41ebd
|
{
"intermediate": 0.348661869764328,
"beginner": 0.24387815594673157,
"expert": 0.4074600040912628
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|
40,017
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<div class="g-tick" style="--ga-tick:7;"></div>
<div class="g-tick" style="--ga-tick:8;"></div>
<div class="g-tick" style="--ga-tick:9;"></div>
<div class="g-tick" style="--ga-tick:10;"></div>
<div class="g-tick" style="--ga-tick:11;"></div>
</div>
<div class="g-ticks">
<div class="g-subtick" style="--ga-tick:2;"></div>
<div class="g-subtick" style="--ga-tick:3;"></div>
<div class="g-subtick" style="--ga-tick:4;"></div>
<div class="g-subtick" style="--ga-tick:5;"></div>
<div class="g-subtick" style="--ga-tick:6;"></div>
<div class="g-subtick" style="--ga-tick:7;"></div>
<div class="g-subtick" style="--ga-tick:8;"></div>
<div class="g-subtick" style="--ga-tick:9;"></div>
<div class="g-subtick" style="--ga-tick:10;"></div>
<div class="g-subtick" style="--ga-tick:12;"></div>
<div class="g-subtick" style="--ga-tick:13;"></div>
<div class="g-subtick" style="--ga-tick:14;"></div>
<div class="g-subtick" style="--ga-tick:15;"></div>
<div class="g-subtick" style="--ga-tick:16;"></div>
<div class="g-subtick" style="--ga-tick:17;"></div>
<div class="g-subtick" style="--ga-tick:18;"></div>
<div class="g-subtick" style="--ga-tick:19;"></div>
<div class="g-subtick" style="--ga-tick:20;"></div>
<div class="g-subtick" style="--ga-tick:22;"></div>
<div class="g-subtick" style="--ga-tick:23;"></div>
<div class="g-subtick" style="--ga-tick:24;"></div>
<div class="g-subtick" style="--ga-tick:25;"></div>
<div class="g-subtick" style="--ga-tick:26;"></div>
<div class="g-subtick" style="--ga-tick:27;"></div>
<div class="g-subtick" style="--ga-tick:28;"></div>
<div class="g-subtick" style="--ga-tick:29;"></div>
<div class="g-subtick" style="--ga-tick:30;"></div>
<div class="g-subtick" style="--ga-tick:32;"></div>
<div class="g-subtick" style="--ga-tick:33;"></div>
<div class="g-subtick" style="--ga-tick:34;"></div>
<div class="g-subtick" style="--ga-tick:35;"></div>
<div class="g-subtick" style="--ga-tick:36;"></div>
<div class="g-subtick" style="--ga-tick:37;"></div>
<div class="g-subtick" style="--ga-tick:38;"></div>
<div class="g-subtick" style="--ga-tick:39;"></div>
<div class="g-subtick" style="--ga-tick:40;"></div>
<div class="g-subtick" style="--ga-tick:42;"></div>
<div class="g-subtick" style="--ga-tick:43;"></div>
<div class="g-subtick" style="--ga-tick:44;"></div>
<div class="g-subtick" style="--ga-tick:45;"></div>
<div class="g-subtick" style="--ga-tick:46;"></div>
<div class="g-subtick" style="--ga-tick:47;"></div>
<div class="g-subtick" style="--ga-tick:48;"></div>
<div class="g-subtick" style="--ga-tick:49;"></div>
<div class="g-subtick" style="--ga-tick:50;"></div>
<div class="g-subtick" style="--ga-tick:52;"></div>
<div class="g-subtick" style="--ga-tick:53;"></div>
<div class="g-subtick" style="--ga-tick:54;"></div>
<div class="g-subtick" style="--ga-tick:55;"></div>
<div class="g-subtick" style="--ga-tick:56;"></div>
<div class="g-subtick" style="--ga-tick:57;"></div>
<div class="g-subtick" style="--ga-tick:58;"></div>
<div class="g-subtick" style="--ga-tick:59;"></div>
<div class="g-subtick" style="--ga-tick:60;"></div>
<div class="g-subtick" style="--ga-tick:62;"></div>
<div class="g-subtick" style="--ga-tick:63;"></div>
<div class="g-subtick" style="--ga-tick:64;"></div>
<div class="g-subtick" style="--ga-tick:65;"></div>
<div class="g-subtick" style="--ga-tick:66;"></div>
<div class="g-subtick" style="--ga-tick:67;"></div>
<div class="g-subtick" style="--ga-tick:68;"></div>
<div class="g-subtick" style="--ga-tick:69;"></div>
<div class="g-subtick" style="--ga-tick:70;"></div>
<div class="g-subtick" style="--ga-tick:72;"></div>
<div class="g-subtick" style="--ga-tick:73;"></div>
<div class="g-subtick" style="--ga-tick:74;"></div>
<div class="g-subtick" style="--ga-tick:75;"></div>
<div class="g-subtick" style="--ga-tick:76;"></div>
<div class="g-subtick" style="--ga-tick:77;"></div>
<div class="g-subtick" style="--ga-tick:78;"></div>
<div class="g-subtick" style="--ga-tick:79;"></div>
<div class="g-subtick" style="--ga-tick:80;"></div>
<div class="g-subtick" style="--ga-tick:82;"></div>
<div class="g-subtick" style="--ga-tick:83;"></div>
<div class="g-subtick" style="--ga-tick:84;"></div>
<div class="g-subtick" style="--ga-tick:85;"></div>
<div class="g-subtick" style="--ga-tick:86;"></div>
<div class="g-subtick" style="--ga-tick:87;"></div>
<div class="g-subtick" style="--ga-tick:88;"></div>
<div class="g-subtick" style="--ga-tick:89;"></div>
<div class="g-subtick" style="--ga-tick:90;"></div>
<div class="g-subtick" style="--ga-tick:92;"></div>
<div class="g-subtick" style="--ga-tick:93;"></div>
<div class="g-subtick" style="--ga-tick:94;"></div>
<div class="g-subtick" style="--ga-tick:95;"></div>
<div class="g-subtick" style="--ga-tick:96;"></div>
<div class="g-subtick" style="--ga-tick:97;"></div>
<div class="g-subtick" style="--ga-tick:98;"></div>
<div class="g-subtick" style="--ga-tick:99;"></div>
<div class="g-subtick" style="--ga-tick:100;"></div>
</div>
<div class="g-nums">
<div class="g-num" style="--ga-tick:1;" >100</div>
<div class="g-num" style="--ga-tick:3;">80</div>
<div class="g-num" style="--ga-tick:5;">60</div>
<div class="g-num" style="--ga-tick:7;">40</div>
<div class="g-num" style="--ga-tick:9;">20</div>
<div class="g-num" style="--ga-tick:11;">0</div>
</div>
<div class="g-label"></div>
<div class="g-needle"></div>
<div class="g-needle-ring"></div>
</div>
<div class="g-val-ring">
<div class="g-val-plate"></div>
<div id="{{'gauge_val_'+$id}}" class="g-val"></div>
</div>
</div>
</div>
</div>
</div>
<script>
(function(scope) {
let min = 0;
let max = 100;
scope.$watch('msg', function(msg) {
if (msg) {
// Do something when msg arrives
const val = msg.payload
const v = max - (((val - min) / (max - min)) * 100);
document.getElementById('gauge_'+scope.$id).style.setProperty('--gauge-value', v);
document.getElementById('gauge_val_'+scope.$id).innerText = val.toFixed(1);
}
});
})(scope);
</script>
change this value to 0-14
|
ea872b36844896cf0512611679b0137d
|
{
"intermediate": 0.3491823971271515,
"beginner": 0.4413163661956787,
"expert": 0.20950119197368622
}
|
40,018
|
<div class="g-wrapper g-wrapper-label-0">
<div id="{{'gauge_'+$id}}" class="g-container" style="--gauge-value:100; --container-size:4; --gn-distance:28; --ga-tick-count:10; --ga-subtick-count:100; --g-unit:'pH'">
<div id="bgr" class="g-body quarter-top-right">
<div class="g-ring">
<div class="g-plate">
<div class="g-zone high"></div>
<div class="g-zone warn"></div>
<div class="g-zone normal"></div>
<div class="g-zone low"></div>
<div class="g-ticks">
<div class="g-tick" style="--ga-tick:1;"></div>
<div class="g-tick" style="--ga-tick:2;"></div>
<div class="g-tick" style="--ga-tick:3;"></div>
<div class="g-tick" style="--ga-tick:4;"></div>
<div class="g-tick" style="--ga-tick:5;"></div>
<div class="g-tick" style="--ga-tick:6;"></div>
<div class="g-tick" style="--ga-tick:7;"></div>
<div class="g-tick" style="--ga-tick:8;"></div>
<div class="g-tick" style="--ga-tick:9;"></div>
<div class="g-tick" style="--ga-tick:10;"></div>
<div class="g-tick" style="--ga-tick:11;"></div>
</div>
<div class="g-ticks">
<div class="g-subtick" style="--ga-tick:2;"></div>
<div class="g-subtick" style="--ga-tick:3;"></div>
<div class="g-subtick" style="--ga-tick:4;"></div>
<div class="g-subtick" style="--ga-tick:5;"></div>
<div class="g-subtick" style="--ga-tick:6;"></div>
<div class="g-subtick" style="--ga-tick:7;"></div>
<div class="g-subtick" style="--ga-tick:8;"></div>
<div class="g-subtick" style="--ga-tick:9;"></div>
<div class="g-subtick" style="--ga-tick:10;"></div>
<div class="g-subtick" style="--ga-tick:12;"></div>
<div class="g-subtick" style="--ga-tick:13;"></div>
<div class="g-subtick" style="--ga-tick:14;"></div>
<div class="g-subtick" style="--ga-tick:15;"></div>
<div class="g-subtick" style="--ga-tick:16;"></div>
<div class="g-subtick" style="--ga-tick:17;"></div>
<div class="g-subtick" style="--ga-tick:18;"></div>
<div class="g-subtick" style="--ga-tick:19;"></div>
<div class="g-subtick" style="--ga-tick:20;"></div>
<div class="g-subtick" style="--ga-tick:22;"></div>
<div class="g-subtick" style="--ga-tick:23;"></div>
<div class="g-subtick" style="--ga-tick:24;"></div>
<div class="g-subtick" style="--ga-tick:25;"></div>
<div class="g-subtick" style="--ga-tick:26;"></div>
<div class="g-subtick" style="--ga-tick:27;"></div>
<div class="g-subtick" style="--ga-tick:28;"></div>
<div class="g-subtick" style="--ga-tick:29;"></div>
<div class="g-subtick" style="--ga-tick:30;"></div>
<div class="g-subtick" style="--ga-tick:32;"></div>
<div class="g-subtick" style="--ga-tick:33;"></div>
<div class="g-subtick" style="--ga-tick:34;"></div>
<div class="g-subtick" style="--ga-tick:35;"></div>
<div class="g-subtick" style="--ga-tick:36;"></div>
<div class="g-subtick" style="--ga-tick:37;"></div>
<div class="g-subtick" style="--ga-tick:38;"></div>
<div class="g-subtick" style="--ga-tick:39;"></div>
<div class="g-subtick" style="--ga-tick:40;"></div>
<div class="g-subtick" style="--ga-tick:42;"></div>
<div class="g-subtick" style="--ga-tick:43;"></div>
<div class="g-subtick" style="--ga-tick:44;"></div>
<div class="g-subtick" style="--ga-tick:45;"></div>
<div class="g-subtick" style="--ga-tick:46;"></div>
<div class="g-subtick" style="--ga-tick:47;"></div>
<div class="g-subtick" style="--ga-tick:48;"></div>
<div class="g-subtick" style="--ga-tick:49;"></div>
<div class="g-subtick" style="--ga-tick:50;"></div>
<div class="g-subtick" style="--ga-tick:52;"></div>
<div class="g-subtick" style="--ga-tick:53;"></div>
<div class="g-subtick" style="--ga-tick:54;"></div>
<div class="g-subtick" style="--ga-tick:55;"></div>
<div class="g-subtick" style="--ga-tick:56;"></div>
<div class="g-subtick" style="--ga-tick:57;"></div>
<div class="g-subtick" style="--ga-tick:58;"></div>
<div class="g-subtick" style="--ga-tick:59;"></div>
<div class="g-subtick" style="--ga-tick:60;"></div>
<div class="g-subtick" style="--ga-tick:62;"></div>
<div class="g-subtick" style="--ga-tick:63;"></div>
<div class="g-subtick" style="--ga-tick:64;"></div>
<div class="g-subtick" style="--ga-tick:65;"></div>
<div class="g-subtick" style="--ga-tick:66;"></div>
<div class="g-subtick" style="--ga-tick:67;"></div>
<div class="g-subtick" style="--ga-tick:68;"></div>
<div class="g-subtick" style="--ga-tick:69;"></div>
<div class="g-subtick" style="--ga-tick:70;"></div>
<div class="g-subtick" style="--ga-tick:72;"></div>
<div class="g-subtick" style="--ga-tick:73;"></div>
<div class="g-subtick" style="--ga-tick:74;"></div>
<div class="g-subtick" style="--ga-tick:75;"></div>
<div class="g-subtick" style="--ga-tick:76;"></div>
<div class="g-subtick" style="--ga-tick:77;"></div>
<div class="g-subtick" style="--ga-tick:78;"></div>
<div class="g-subtick" style="--ga-tick:79;"></div>
<div class="g-subtick" style="--ga-tick:80;"></div>
<div class="g-subtick" style="--ga-tick:82;"></div>
<div class="g-subtick" style="--ga-tick:83;"></div>
<div class="g-subtick" style="--ga-tick:84;"></div>
<div class="g-subtick" style="--ga-tick:85;"></div>
<div class="g-subtick" style="--ga-tick:86;"></div>
<div class="g-subtick" style="--ga-tick:87;"></div>
<div class="g-subtick" style="--ga-tick:88;"></div>
<div class="g-subtick" style="--ga-tick:89;"></div>
<div class="g-subtick" style="--ga-tick:90;"></div>
<div class="g-subtick" style="--ga-tick:92;"></div>
<div class="g-subtick" style="--ga-tick:93;"></div>
<div class="g-subtick" style="--ga-tick:94;"></div>
<div class="g-subtick" style="--ga-tick:95;"></div>
<div class="g-subtick" style="--ga-tick:96;"></div>
<div class="g-subtick" style="--ga-tick:97;"></div>
<div class="g-subtick" style="--ga-tick:98;"></div>
<div class="g-subtick" style="--ga-tick:99;"></div>
<div class="g-subtick" style="--ga-tick:100;"></div>
</div>
<div class="g-nums">
<div class="g-num" style="--ga-tick:1;" >100</div>
<div class="g-num" style="--ga-tick:3;">80</div>
<div class="g-num" style="--ga-tick:5;">60</div>
<div class="g-num" style="--ga-tick:7;">40</div>
<div class="g-num" style="--ga-tick:9;">20</div>
<div class="g-num" style="--ga-tick:11;">0</div>
</div>
<div class="g-label"></div>
<div class="g-needle"></div>
<div class="g-needle-ring"></div>
</div>
<div class="g-val-ring">
<div class="g-val-plate"></div>
<div id="{{'gauge_val_'+$id}}" class="g-val"></div>
</div>
</div>
</div>
</div>
</div>
<script>
(function(scope) {
let min = 0;
let max = 100;
scope.$watch('msg', function(msg) {
if (msg) {
// Do something when msg arrives
const val = msg.payload
const v = max - (((val - min) / (max - min)) * 100);
document.getElementById('gauge_'+scope.$id).style.setProperty('--gauge-value', v);
document.getElementById('gauge_val_'+scope.$id).innerText = val.toFixed(1);
}
});
})(scope);
</script>
change this value to 0-14
|
cfe389e69acb6750951df263c9317295
|
{
"intermediate": 0.3491823971271515,
"beginner": 0.4413163661956787,
"expert": 0.20950119197368622
}
|
40,019
|
<div class="g-wrapper g-wrapper-label-0">
<div id="{{'gauge_'+$id}}" class="g-container" style="--gauge-value:100; --container-size:4; --gn-distance:28; --ga-tick-count:10; --ga-subtick-count:100; --g-unit:'pH'">
<div id="bgr" class="g-body quarter-top-right">
<div class="g-ring">
<div class="g-plate">
<div class="g-zone high"></div>
<div class="g-zone warn"></div>
<div class="g-zone normal"></div>
<div class="g-zone low"></div>
<div class="g-ticks">
<div class="g-tick" style="--ga-tick:1;"></div>
<div class="g-tick" style="--ga-tick:2;"></div>
<div class="g-tick" style="--ga-tick:3;"></div>
<div class="g-tick" style="--ga-tick:4;"></div>
<div class="g-tick" style="--ga-tick:5;"></div>
<div class="g-tick" style="--ga-tick:6;"></div>
<div class="g-tick" style="--ga-tick:7;"></div>
<div class="g-tick" style="--ga-tick:8;"></div>
<div class="g-tick" style="--ga-tick:9;"></div>
<div class="g-tick" style="--ga-tick:10;"></div>
<div class="g-tick" style="--ga-tick:11;"></div>
</div>
<div class="g-ticks">
<div class="g-subtick" style="--ga-tick:2;"></div>
<div class="g-subtick" style="--ga-tick:3;"></div>
<div class="g-subtick" style="--ga-tick:4;"></div>
<div class="g-subtick" style="--ga-tick:5;"></div>
<div class="g-subtick" style="--ga-tick:6;"></div>
<div class="g-subtick" style="--ga-tick:7;"></div>
<div class="g-subtick" style="--ga-tick:8;"></div>
<div class="g-subtick" style="--ga-tick:9;"></div>
<div class="g-subtick" style="--ga-tick:10;"></div>
<div class="g-subtick" style="--ga-tick:12;"></div>
<div class="g-subtick" style="--ga-tick:13;"></div>
<div class="g-subtick" style="--ga-tick:14;"></div>
<div class="g-subtick" style="--ga-tick:15;"></div>
<div class="g-subtick" style="--ga-tick:16;"></div>
<div class="g-subtick" style="--ga-tick:17;"></div>
<div class="g-subtick" style="--ga-tick:18;"></div>
<div class="g-subtick" style="--ga-tick:19;"></div>
<div class="g-subtick" style="--ga-tick:20;"></div>
<div class="g-subtick" style="--ga-tick:22;"></div>
<div class="g-subtick" style="--ga-tick:23;"></div>
<div class="g-subtick" style="--ga-tick:24;"></div>
<div class="g-subtick" style="--ga-tick:25;"></div>
<div class="g-subtick" style="--ga-tick:26;"></div>
<div class="g-subtick" style="--ga-tick:27;"></div>
<div class="g-subtick" style="--ga-tick:28;"></div>
<div class="g-subtick" style="--ga-tick:29;"></div>
<div class="g-subtick" style="--ga-tick:30;"></div>
<div class="g-subtick" style="--ga-tick:32;"></div>
<div class="g-subtick" style="--ga-tick:33;"></div>
<div class="g-subtick" style="--ga-tick:34;"></div>
<div class="g-subtick" style="--ga-tick:35;"></div>
<div class="g-subtick" style="--ga-tick:36;"></div>
<div class="g-subtick" style="--ga-tick:37;"></div>
<div class="g-subtick" style="--ga-tick:38;"></div>
<div class="g-subtick" style="--ga-tick:39;"></div>
<div class="g-subtick" style="--ga-tick:40;"></div>
<div class="g-subtick" style="--ga-tick:42;"></div>
<div class="g-subtick" style="--ga-tick:43;"></div>
<div class="g-subtick" style="--ga-tick:44;"></div>
<div class="g-subtick" style="--ga-tick:45;"></div>
<div class="g-subtick" style="--ga-tick:46;"></div>
<div class="g-subtick" style="--ga-tick:47;"></div>
<div class="g-subtick" style="--ga-tick:48;"></div>
<div class="g-subtick" style="--ga-tick:49;"></div>
<div class="g-subtick" style="--ga-tick:50;"></div>
<div class="g-subtick" style="--ga-tick:52;"></div>
<div class="g-subtick" style="--ga-tick:53;"></div>
<div class="g-subtick" style="--ga-tick:54;"></div>
<div class="g-subtick" style="--ga-tick:55;"></div>
<div class="g-subtick" style="--ga-tick:56;"></div>
<div class="g-subtick" style="--ga-tick:57;"></div>
<div class="g-subtick" style="--ga-tick:58;"></div>
<div class="g-subtick" style="--ga-tick:59;"></div>
<div class="g-subtick" style="--ga-tick:60;"></div>
<div class="g-subtick" style="--ga-tick:62;"></div>
<div class="g-subtick" style="--ga-tick:63;"></div>
<div class="g-subtick" style="--ga-tick:64;"></div>
<div class="g-subtick" style="--ga-tick:65;"></div>
<div class="g-subtick" style="--ga-tick:66;"></div>
<div class="g-subtick" style="--ga-tick:67;"></div>
<div class="g-subtick" style="--ga-tick:68;"></div>
<div class="g-subtick" style="--ga-tick:69;"></div>
<div class="g-subtick" style="--ga-tick:70;"></div>
<div class="g-subtick" style="--ga-tick:72;"></div>
<div class="g-subtick" style="--ga-tick:73;"></div>
<div class="g-subtick" style="--ga-tick:74;"></div>
<div class="g-subtick" style="--ga-tick:75;"></div>
<div class="g-subtick" style="--ga-tick:76;"></div>
<div class="g-subtick" style="--ga-tick:77;"></div>
<div class="g-subtick" style="--ga-tick:78;"></div>
<div class="g-subtick" style="--ga-tick:79;"></div>
<div class="g-subtick" style="--ga-tick:80;"></div>
<div class="g-subtick" style="--ga-tick:82;"></div>
<div class="g-subtick" style="--ga-tick:83;"></div>
<div class="g-subtick" style="--ga-tick:84;"></div>
<div class="g-subtick" style="--ga-tick:85;"></div>
<div class="g-subtick" style="--ga-tick:86;"></div>
<div class="g-subtick" style="--ga-tick:87;"></div>
<div class="g-subtick" style="--ga-tick:88;"></div>
<div class="g-subtick" style="--ga-tick:89;"></div>
<div class="g-subtick" style="--ga-tick:90;"></div>
<div class="g-subtick" style="--ga-tick:92;"></div>
<div class="g-subtick" style="--ga-tick:93;"></div>
<div class="g-subtick" style="--ga-tick:94;"></div>
<div class="g-subtick" style="--ga-tick:95;"></div>
<div class="g-subtick" style="--ga-tick:96;"></div>
<div class="g-subtick" style="--ga-tick:97;"></div>
<div class="g-subtick" style="--ga-tick:98;"></div>
<div class="g-subtick" style="--ga-tick:99;"></div>
<div class="g-subtick" style="--ga-tick:100;"></div>
</div>
<div class="g-nums">
<div class="g-num" style="--ga-tick:1;" >100</div>
<div class="g-num" style="--ga-tick:3;">80</div>
<div class="g-num" style="--ga-tick:5;">60</div>
<div class="g-num" style="--ga-tick:7;">40</div>
<div class="g-num" style="--ga-tick:9;">20</div>
<div class="g-num" style="--ga-tick:11;">0</div>
</div>
<div class="g-label"></div>
<div class="g-needle"></div>
<div class="g-needle-ring"></div>
</div>
<div class="g-val-ring">
<div class="g-val-plate"></div>
<div id="{{'gauge_val_'+$id}}" class="g-val"></div>
</div>
</div>
</div>
</div>
</div>
<script>
(function(scope) {
let min = 0;
let max = 100;
scope.$watch('msg', function(msg) {
if (msg) {
// Do something when msg arrives
const val = msg.payload
const v = max - (((val - min) / (max - min)) * 100);
document.getElementById('gauge_'+scope.$id).style.setProperty('--gauge-value', v);
document.getElementById('gauge_val_'+scope.$id).innerText = val.toFixed(1);
}
});
})(scope);
</script>
change this value to 0-14
|
800da1105557d0e9a66c5f07de998c30
|
{
"intermediate": 0.3491823971271515,
"beginner": 0.4413163661956787,
"expert": 0.20950119197368622
}
|
40,020
|
<marquee bgcolor=“#aee” width=“8” height=“8”></marquee><marquee bgcolor=“#eae” width=“16” height=“16” /><marquee bgcolor=“#eea” width=“8” height=“8”></marquee>
|
2825bdfc964099090af84535de227674
|
{
"intermediate": 0.3080345094203949,
"beginner": 0.2534717619419098,
"expert": 0.4384937584400177
}
|
40,021
|
Create pixel art (in 32 rows of 8 pixels) using only marquee elements for each pixel and br tags for new lines:
1. Start with a <marquee> element.
2. Set the bgcolor attribute to your chosen color.
3. Define width and height attributes to “8” (for a 8x8 pixel square).
4. Do not include any text or content within the marquee tag.
5. Place <marquee> elements directly after each other to form a horizontal row of pixels. Do not separate them with spaces or new lines.
6. After each row of pixels, place a <br> tag to start a new line.
7. Repeat steps 1-6 for each new row to form your pixel art.
8. Make sure the opening <marquee> tag is immediately at the start of a new line without any leading characters or spaces.
9. use simplified hex color in three digits only as #123, #eab, #eee, etc.
10. Continue to expand your pixel art row by row, adjusting colors as needed to create your design.
|
947250d90d749b39d28ab46ce759cc3d
|
{
"intermediate": 0.355896919965744,
"beginner": 0.2823435366153717,
"expert": 0.3617595136165619
}
|
40,022
|
How to containerized chromadb
|
0edc517fea5e31000dba948a7c3bb320
|
{
"intermediate": 0.3631086051464081,
"beginner": 0.1644088178873062,
"expert": 0.4724826216697693
}
|
40,023
|
create a splunk query to search for urls with just ip addresses
|
e1207ad06a47e25a900291363e4c9ca8
|
{
"intermediate": 0.30188414454460144,
"beginner": 0.124840147793293,
"expert": 0.5732757449150085
}
|
40,024
|
Can you help me with binance api python code
|
0756a58c8a264ac758fb3467e27538cd
|
{
"intermediate": 0.5863939523696899,
"beginner": 0.13338908553123474,
"expert": 0.2802170515060425
}
|
40,025
|
stop annoying me. you don’t deskrib, ok?
|
0844d9cdef1f1e723479a4c78501aace
|
{
"intermediate": 0.3689221143722534,
"beginner": 0.3450965881347656,
"expert": 0.28598129749298096
}
|
40,026
|
this is my code:
use bio::io::bed;
use crossbeam_utils::thread::scope;
use std::io::{self, Read};
use std::sync::{mpsc, Arc, Mutex};
fn main() {
let mut reader = bed::Reader::from_file(
"/home/alejandro/Documents/unam/TOGA_old_versions/x/bed_tmp/100k.bed",
)
.unwrap();
// define the number of messages the channel can hold
let num_threads = 6;
// create a synchronous channel with a bounded capacity
let (tx, rx) = mpsc::sync_channel(num_threads);
let atomic_reader = Arc::new(Mutex::new(reader.records()));
// spawn threads to send messages
scope(|scope| {
for i in 0..num_threads {
let tx = tx.clone();
let reader = Arc::clone(&atomic_reader);
scope.spawn(move |_| {
println!("Thread {:?} started", i);
loop {
match get_next_record(&reader) {
Some(record) => {
let record = record.expect("Error reading record");
let tx_id = record.start();
tx.send(Some(tx_id)).expect("Could not send data");
}
None => {
tx.send(None).expect("Could not send data");
break;
}
}
} // loop
}); // end spawn
} // end for
}); // end scope
// receive messages
let mut death_txs = 0;
let mut received = 0;
for rc in rx.iter() {
match rc {
Some(record) => {
// println!("{:?}", record);
received += 1;
eprint!("\rRecords received: {}", received);
}
None => {
death_txs += 1;
if death_txs == num_threads {
drop(tx);
break;
}
}
}
}
}
pub fn get_next_record<R: io::Read>(
reader: &Arc<Mutex<bed::Records<R>>>,
) -> Option<Result<bed::Record, csv::Error>> {
let mut lock = reader.lock().unwrap();
lock.next()
}
and this is the output:
Thread 0 started
Thread 1 started
Thread 2 started
Thread 3 started
Thread 4 started
Thread 5 started
nothing else, is stuck. You are an expert in Rust, please help me
|
e5a3341d6873459169d9c222a07ef0e6
|
{
"intermediate": 0.31577232480049133,
"beginner": 0.53101646900177,
"expert": 0.15321123600006104
}
|
40,027
|
In the following html I want the "dance.gif" to the right of the headline. How do I do that?
<!DOCTYPE html>
<html lang="en">
<head>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Comic+Neue:ital,wght@0,300;0,400;0,700;1,300;1,400;1,700&display=swap" rel="stylesheet">
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.2.3/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-rbsA2VBKQhggwzxH7pPCaAqO46MgnOM80zW1RWuH61DGLwZJEdK2Kadq2F9CUG65" crossorigin="anonymous">
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.2.3/dist/js/bootstrap.bundle.min.js" integrity="sha384-kenU1KFdBIe4zVF0s0G1M5b4hcpxyD9F7jL+jjXkk+Q2h455rYXK/7HAuoJl+0I4" crossorigin="anonymous"></script>
<link href="styles.css" rel="stylesheet">
<title >Simon's Blog</title>
<style>
body {
font-family: 'Comic Neue';font-size: 30px;
}
.bold {
font-family: "Comic Neue" cursive;
font-weight: 900;
}
.light {
font-family: "Comic Neue" cursive;
font-weight: 300;
font-style: italic;
}
</style>
<nav class="navbar navbar-expand-lg" style="background-color: #ff4000" width="30">
<div class="container-fluid">
<a class="navbar-brand" href="#">Simon's Blog</a>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarNavDropdown" aria-controls="navbarNavDropdown" aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarNavDropdown">
<ul class="navbar-nav">
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="index.html">Home</a>
</li>
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="blog.html">Blog</a>
</li>
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<a class="nav-link active" aria-current="page" href="projects.html">Projects I've worked on</a>
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<a class="nav-link active" aria-current="page" href="contact.html">Get In Touch</a>
</li>
</ul>
</div>
</div>
</nav>
</head>
<body>
<center>
<article class="comic">
<table id="main" border="0" cellpadding="0" cellspacing="0" style="width:80%" bgcolor="#f6f6ef">
<tr>
<td style=width:20px;padding-right:4px">
<header>
<h1 class="bold">The Ultimate Guide to the Latest 5G Smartphones: <br>Unleash Lightning-Fast Speeds!</h1> <img src="dance.gif" alt="Hyunjin Dancing">
<p class="light">Posted by Simon</p>
<p>Hey Tech Enthusiasts! <br>
It’s your favorite tech blogger, TechWizard101, back again with another deep dive into the latest and greatest in the world of mobile technology. Strap in because today we’re talking about something that’s been on everyone’s lips: 5G smartphones. These pocket-sized powerhouses are revolutionizing the way we connect, and I’ve got the lowdown on the hottest models you need to check out right now.
<br> First up on our exploration is the much-anticipated release of the Speedster Pro X20. With its sleek design and cutting-edge specs, this phone is the epitome of what all tech geeks (like us) dream of. The X20 not only boasts an impressive 6.7-inch AMOLED display with a 120Hz refresh rate but comes packed with an octa-core processor that makes multi-tasking a breeze.
</p>
</header>
<p>Lorem Ipsum dolor set amet....</p>
</td>
</tr>
</table>
</article>
</center>
</body>
</html>
|
3ee153ba3688d07372cd9ce9b737aebf
|
{
"intermediate": 0.374311238527298,
"beginner": 0.4146120846271515,
"expert": 0.21107670664787292
}
|
40,028
|
Create pixel art and two letters "AI" (draw within 8x8 grid in terms and arrange pixels correctly throughout br as a new line. don't waste pixels on a solid color border, use all space in pixels available to extremely efficiently utilize all the pixels in 8x8 grid) using only marquee elements for each pixel and br tags for new lines:
never occupy first line in your responses with descriptive or explanatory text or any foreign character, just start first line from marquee element. use only br element as a newline, without actually creating a new line, remember that. use br element as a new line and don't produce any unnecessary spaces. never use actual newline.
1. Start with a <marquee> element.
2. Set the bgcolor attribute to your chosen color.
3. Define width and height attributes to “64” (for a 64x64 pixel square).
4. Do not include any text or content within the marquee tag.
5. Place <marquee> elements directly after each other to form a horizontal row of pixels. Do not separate them with spaces or new lines.
6. After each row of pixels, place a <br> tag to start a new line.
7. Repeat steps 1-6 for each new row to form your pixel art.
8. Make sure the opening <marquee> tag is immediately at the start of a new line without any leading characters or spaces.
9. use simplified hex color in three digits only as #123, #eab, #eee, etc.
10. Continue to expand your pixel art row by row, adjusting colors as needed to create your design. 11. at the very end name your pixelart and describe what you just drawn.
|
2c5f64696fdbb65bc946c88e335bf2cc
|
{
"intermediate": 0.2727613151073456,
"beginner": 0.2805013358592987,
"expert": 0.4467373192310333
}
|
40,029
|
Why are the icons in the footer not loading?
<!DOCTYPE html>
<html lang="en">
<head>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0-beta3/css/all.min.css">
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.2.3/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-rbsA2VBKQhggwzxH7pPCaAqO46MgnOM80zW1RWuH61DGLwZJEdK2Kadq2F9CUG65" crossorigin="anonymous">
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.2.3/dist/js/bootstrap.bundle.min.js" integrity="sha384-kenU1KFdBIe4zVF0s0G1M5b4hcpxyD9F7jL+jjXkk+Q2h455rYXK/7HAuoJl+0I4" crossorigin="anonymous"></script>
<link href="styles.css" rel="stylesheet">
<title>My Webpage</title>
<link rel="icon" href="https://news.ycombinator.com/y18.svg">
</head>
<body>
<!--LOGO-->
<!--NAVBAR-->
<nav class="navbar navbar-expand-lg" style="background-color: #ff4000">
<div class="container-fluid">
<a href="index.html">
<img src="https://news.ycombinator.com/y18.svg" width="40" height="40" style="border:1px white solid; display:block">
</a>
<a class="navbar-brand" href="#">Simon's Blog</a>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarNavDropdown" aria-controls="navbarNavDropdown" aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarNavDropdown">
<ul class="navbar-nav">
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="#">Home</a>
</li>
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="blog.html">Blog</a>
</li>
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="qanda.html">Q and A</a>
</li>
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="projects.html">Projects I've worked on</a>
</li>
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="contact.html">Get In Touch</a>
</li>
</ul>
</div>
</div>
</nav>
<!--Text-->
<div class="blog"><br>
<h1>The Digital Odyssey </h1>
<h2>Journey through the Tech Terrain</h2>
<br>
<b> Hello there, fellow traveler!</b><p>I'm <PRESIDIO_ANONYMIZED_PERSON>, a curious explorer charting the vast and vibrant seas of technology. By day, I’m a software engineer stitching together code that, piece by piece, constructs the fabric of our digital reality. By night, I’m your humble host on this personal blog, The Digital Odyssey, where I share tales from the tech frontiers.</p>
<b>About The Blog</b>
<p>The Digital Odyssey is a reflection of my passion for all that beeps, blinks, and bytes. Here, you’ll witness the musings of a tech savant (and sometimes the rants of a caffeine-fueled coder) presented with a dash of personality and heaps of experience. Let’s embark on this journey together, through the realms of code, gadgets, and the continuously unfolding future that is technology.</p>
<b>What You’ll Discover Here</b>
<ul class="discover">
<li>Daily Adventures: Witness my day-to-day encounters with technology, from troubleshooting bugs to reveling in the thrill of a successful product launch.</li>
<li>Tech Tips & Tricks: Benefit from my expertise with an array of how-tos, from sharpening your programming skills to optimizing your home network.</li>
<li>Thought-Provoking Essays: Delve deeper as I ponder ethical dilemmas in AI development, the rise of quantum computing, or the implications of the latest data privacy regulations.</li>
<li>Gadget Chronicles: Join me as I unpack, review, and dissect the latest tech to hit the market. Will it earn a permanent spot on my desk or gather dust in the drawer?</li>
<li>Behind The Scenes: Get an insider’s look at the tech industry through candid stories and personal reflections on the trends shaping our digital existence.</li>
<li>A Slice of Life: Because technology is not just what I do, it’s intertwined with who I am. From conference escapades to the pages of my latest sci-fi read, you’ll get it all.</li>
</ul>
<b>Latest Musings</b>
<ul id="musings">
<li>Do Smartwatches Tick the Right Boxes? My Week Wrist-deep in Notifications</li>
<li>THackathon Chronicles: Sleepless Innovation or a Caffeine Conundrum?</li>
<li>The Art of Clean Code: A Brush with the Philosopher’s Codebase</li>
<li>Mars Rovers and Earthly Codes: Programming Lessons from Outer Space</li>
</ul>
<b>Let's Connect</b>
<p>While this odyssey is penned by a solitary scribe, the narrative enriches with every interaction. Comment on my posts, challenge my viewpoints, suggest topics, or share your tech experiences – I’m all ears! Don your social-media cap and follow me on my channels to keep the dialogue alive.</p>
<b>Tech Musings Delivered</b>
<p>Life is fast, tech is faster. Subscribe to my newsletter to keep pace with my weekly recount of tech tales and reflections. A concise dose of insight, delivered with the quirks only a true technologist can provide.</p>
</div>
<footer class="bg-dark text-light py-4 mt-5">
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<!-- About the Blog -->
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<h5>About Simon’s Blog</h5>
<p>Simon’s Blog is your go-to source for insightful tech analysis, updates on the latest gadgets, and deep dives into the world of technology. Join me on my journey to demystify the vast digital landscape.</p>
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<li><a href="index.html" class="text-light">Home</a></li>
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<h5>Connect With Me</h5>
<p>Follow me on social media for more frequent updates and discussions:</p>
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<i class="fa fa-instagram" aria-hidden="true"></i>
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</html>
|
d1e070f69e5f78c293fe0c2460e3357e
|
{
"intermediate": 0.41140130162239075,
"beginner": 0.3713218867778778,
"expert": 0.21727682650089264
}
|
40,030
|
look at this code:
let index = Arc::new(Track::new(tracks, pseudomap, reads));
let bucket = Arc::new(DashMap::<&String, Bucket>::new());
let pocket = Arc::new(DashMap::<Pocket, Vec<String>>::new());
index.reads.par_iter().for_each(|(read, record)| {
index
.pseudomap
.get(&record.chrom)
.unwrap()
.par_iter()
.for_each(|(start, end, id)| {
if record.tx_start >= *start - BOUNDARY && record.tx_end <= *end + BOUNDARY {
// a bucket needs to be of the form:
// read:
// [(start, end)] -> read_exons
// [(start, end)] -> gene_exons
// since a read could be pseudomapped to multiple transcripts,
// the gene_exons vector will be extended with the exons of each
// transcript.
let mut b_acc = bucket.entry(read).or_insert(Bucket::default());
b_acc.id.push(id.clone());
b_acc
.gene_exons
.extend(index.tracks.get(id).unwrap().coords.clone());
if b_acc.read_exons.is_empty() {
b_acc.read_exons = record.coords.clone();
}
// }
} else {
bucket.entry(read).or_insert(Bucket::default());
}
});
});
do you think this is the fastest approach? would you prefer to use threadpools or scoped threads? do you think there is room for improvements? you can use any trick, algorithm, crate, etc
|
86a5b059820b1a80f2c989e316d85585
|
{
"intermediate": 0.3732461929321289,
"beginner": 0.25638043880462646,
"expert": 0.370373398065567
}
|
40,031
|
how can i calculate CPU load in freertos
|
b3140e0ebb6d35a07262e8435ad077b4
|
{
"intermediate": 0.3413574993610382,
"beginner": 0.17950870096683502,
"expert": 0.4791337847709656
}
|
40,032
|
asd
|
cad144b3fc2f15813fc004791f2e095c
|
{
"intermediate": 0.3082326054573059,
"beginner": 0.2983354330062866,
"expert": 0.3934319019317627
}
|
40,033
|
Hi, can you take these ClojureScript stylefy hardcoded css groupings and turn them into standard CSS?
(def main-style
{:padding "20px"
:width "100%"
:max-width "600px"
:margin "0 auto"
:font-family "'Open Sans', sans-serif"
:border "3px solid #ccc"
:background-color "#F0FFFF"})
(def button-style
{:background-color "#4CAF50"
:border "none"
:color "white"
:padding "15px 32px"
:text-align "center"
:text-decoration "none"
:display "inline-block"
:font-size "16px"
:margin "4px 2px"
:cursor "pointer"})
(def input-style
{:padding "10px"
:border (str "4px solid #cfc")
:border-radius "3px"
:margin-bottom "5px"
:font-size "18px"
:font-family "inherit"})
(def side-panel-style
{:flex "1"
:padding "10px"
:margin-left "20px"
:border "3px solid #ccc"
:border-radius "4px"
:background-color "#FFFFFF"
:max-width "200px"})
(def main-panel-style
{:max-width "280px"})
(def main-container-style
{:display "flex"
:justify-content "space-around"
})
(def body-background
{:background-image "url('images/tokimemobgscroll.gif')"
:background-repeat "repeat"})
|
c1c9da309fdcf04546671c204b98f357
|
{
"intermediate": 0.39080142974853516,
"beginner": 0.39819958806037903,
"expert": 0.21099892258644104
}
|
40,034
|
How to get SOP instance ID of a DICOM instance using python?
|
a758f1c944ac84a84aed6d583e316163
|
{
"intermediate": 0.40137457847595215,
"beginner": 0.08846500515937805,
"expert": 0.5101604461669922
}
|
40,035
|
arm-none-eabi-objcopy --srec-forceS3 -O srec logo.out cr7-rtos.srec from this how can i convert from srec to elf
|
10a77c337d0e08babc774ce548a4f8e6
|
{
"intermediate": 0.5053595900535583,
"beginner": 0.27381667494773865,
"expert": 0.220823734998703
}
|
40,036
|
可以说中文嘛
|
235938a73731615c5732075af384cd83
|
{
"intermediate": 0.35682937502861023,
"beginner": 0.27919599413871765,
"expert": 0.3639746904373169
}
|
40,037
|
fait en sorte de lier la vue avec avec la page arbitrage, d’afficher autant de .content-arbitrage que de poules ect…{% extends ‘base.html’ %} {% block content %}
<link
rel=“stylesheet”
href=“{{ url_for(‘static’, filename = ‘progress-bar.css’) }}”
/>
<link
rel=“stylesheet”
href=“{{ url_for(‘static’, filename = ‘progress-bar.css’) }}”
/>
<link rel=“stylesheet” href=“{{ url_for(‘static’, filename = ‘arbitrage.css’) }}” />
<div class=“progress-bar”>
<a class=“active-url” href=“{{ url_for(‘ajout_comp_page’)}}”
>Définir une compétition</a
>
<img class=“fleche-bar” src=“…/static/img/fleche.png” alt=“fleche” />
<a
class=“active-url”
>Gestion participants</a
>
<img class=“fleche-bar” src=“…/static/img/fleche.png” alt=“fleche” />
>Créer les poules</a
>
<img class=“fleche-bar” src=“…/static/img/fleche.png” alt=“fleche” />
<img class=“fleche-bar” src=“…/static/img/fleche.png” alt=“fleche” />
>Gestion score</a
>
<img class=“fleche-bar” src=“…/static/img/fleche.png” alt=“fleche” />
>Classement Final</a
>
</div>
<main>
<div class=“classement-provisoire-match”>
<a class=“btn__retour” href=“”><i class=“fa-solid fa-arrow-left”></i> Retour</a>
</div>
<div class=“table__arbitrage”>
<div class=“head__arbitrage”>
<p>Poule n°1 - “nom_piste” - Arbitre : “nom_arbitre”</p>
</div>
<div class=“content__arbitrage”>
<table class=“noms__tireurs”>
<thead>
<tr>
<th>?</th>
<th>?</th>
<th>?</th>
</tr>
</thead>
<tbody>
<tr>
<td>Nom </td>
<td>Prenom </td>
<td>Club </td>
<td>Score </td>
</tr>
<tr>
<td>Nom </td>
<td>Prenom </td>
<td>Club </td>
<td>Score </td>
</tr>
<tr>
<td>Nom </td>
<td>Prenom </td>
<td>Club </td>
<td>Score </td>
</tr>
<tr>
<td>Nom </td>
<td>Prenom </td>
<td>Club </td>
<td>Score </td>
</tr>
</tbody>
</table>
<table class=“score__btn__arbitrer”>
<thead>
<tr>
<th>?</th>
<th>?</th>
<th>?</th>
</tr>
</thead>
<tbody>
<tr>
<td class=“btn__score”><input type=“text”></td>
<td class=“btn__arbitrer”><button>Arbitrer</button></td>
<td class=“btn__score”><input type=“text”></td>
</tr>
<tr>
<td class=“btn__score”><input type=“text”></td>
<td class=“btn__arbitrer”><button>Arbitrer</button></td>
<td class=“btn__score”><input type=“text”></td>
</tr>
<tr>
<td class=“btn__score”><input type=“text”></td>
<td class=“btn__arbitrer”><button>Arbitrer</button></td>
<td class=“btn__score”><input type=“text”></td>
</tr>
<tr>
<td class=“btn__score”><input type=“text”></td>
<td class=“btn__arbitrer”><button>Arbitrer</button></td>
<td class=“btn__score”><input type=“text”></td>
</tr>
</tbody>
</table>
<table class=“noms__tireurs”>
<thead>
<tr>
<th>?</th>
<th>?</th>
<th>?</th>
</tr>
</thead>
<tbody>
<tr>
<td>Nom </td>
<td>Prenom </td>
<td>Club </td>
<td>Score </td>
</tr>
<tr>
<td>Nom </td>
<td>Prenom </td>
<td>Club </td>
<td>Score </td>
</tr>
<tr>
<td>Nom </td>
<td>Prenom </td>
<td>Club </td>
<td>Score </td>
</tr>
<tr>
<td>Nom </td>
<td>Prenom </td>
<td>Club </td>
<td>Score </td>
</tr>
</tbody>
</table>
</div>
<div class=“btn__conclure”>
<button>Conclure</button>
</div>
</div>
</main>
{% endblock %}
import datetime
import random
from .app import app, db, mail
import logging
import math
from .ajout_bd import *
from flask import jsonify, render_template, session, url_for, redirect, request, flash
from .models import *
from flask_wtf import FlaskForm
from wtforms.validators import DataRequired
from wtforms import StringField, PasswordField
from hashlib import sha256
from flask_login import login_user, logout_user, current_user
from flask_mail import Message
import datetime
# from flask import make_response
# from weasyprint import HTML
def send_verification_email(user_email, code):
with app.app_context():
msg = Message(“Votre code de vérification”, recipients=[user_email])
msg.body = f"Votre code de vérification est : {code}“
mail.send(msg)
def send_bienvenue_email(user_email, user_pseudo):
with app.app_context():
msg = Message(“Bienvenue sur COMPETITION ESCRIME”, recipients=[user_email])
msg.body = f"Bonjour {user_pseudo},\n\nBienvenue sur COMPETITION ESCRIME !\n\nNous vous souhaitons une bonne navigation sur notre site.\n\nL’équipe COMPETITION ESCRIME”
mail.send(msg)
logging.basicConfig(filename=‘debug.log’, level=logging.DEBUG)
class LoginForm(FlaskForm):
email_username = StringField(‘email_username’, validators=[DataRequired()])
password = PasswordField(‘password’, validators=[DataRequired()])
def get_authenticated_user(self):
user = User.query.filter_by(emailUser=self.email_username.data).first()
if user is None:
user = User.query.filter_by(pseudoUser=self.email_username.data).first()
if user is None:
return None
m = sha256 ()
m.update(self.password.data.encode ())
passwd = m. hexdigest ()
return user if passwd == user.mdpUser else None
class InscriptionForm(FlaskForm):
pseudo = StringField(‘pseudo’, validators=[DataRequired()])
email = StringField(‘email’, validators=[DataRequired()])
password = PasswordField(‘password’, validators=[DataRequired()])
comfirm_password = PasswordField(‘comfirm_password’, validators=[DataRequired()])
class EditUserForm(FlaskForm):
newpsswd = PasswordField(“Nouveau mot de passe”)
confirm = PasswordField(“Confirmez le nouveau mot de passe”)
username = StringField(“Pseudonyme actuelle”)
password = PasswordField(“Mot de passe actuelle”)
@app.context_processor
def inject_user_status():
if current_user.is_authenticated:
return {“user_status”: current_user.statutUser}
return {“user_status”: None}
@app.route(“/gestions_scores/”)
def gestion_scores():
return render_template(“page-score.html”)
@app.route(“/arbitrage/<int:id_comp>/<int:id_type_match>/”, methods=[“GET”, “POST”])
def arbitrage(id_comp, id_type_match=1):
if request.method == “POST”:
absent = request.form.get(‘liste_absents’, ‘’)
if id_type_match == 1:
poules = {}
nb_poules = get_nb_poules(id_comp)
for i in range(1, nb_poules+1):
poules[i] = {}
tireurs_club = {} # dict avec le tireur en clé et le nom du club en valeur
for tireur in get_liste_tireurs_escrimeurs_poule(id_comp, i):
tireurs_club[tireur] = get_club_tireur_escrimeur(tireur).nomClub
poules[i][‘tireurs’] = tireurs_club
poules[i][‘piste’] = get_piste_poule(id_comp, i)
poules[i][“id_arbitre”] = get_id_arbitre_poule(id_comp, i)
poules[i][“stats”] = get_poule_stats(i)
poules[i][“matchs”] = get_matchs_poules(i, id_comp)
poules[i][‘arbitre’] = get_arbitre_escrimeur_poule(id_comp, i).nomE + " " + get_arbitre_escrimeur_poule(id_comp, i).prenomE
for num_poule in range(1, nb_poules + 1):
matches = get_matchs_poules(num_poule, id_comp)
scores = {}
print(“avant”)
for match in matches:
match_found = get_match(match.numeroLicenceE1, match.numeroLicenceE2, num_poule, id_comp)
if match_found:
scores[(match_found.numeroLicenceE1, match_found.numeroLicenceE2)] = {
‘touchesDonneesTireur1’: match_found.touchesDonneesTireur1,
‘touchesRecuesTireur2’: match_found.touchesRecuesTireur2
}
scores[(match_found.numeroLicenceE2, match_found.numeroLicenceE1)] = {
‘touchesDonneesTireur2’: match_found.touchesDonneesTireur2,
‘touchesRecuesTireur1’: match_found.touchesRecuesTireur1
}
poules[num_poule][‘scores’] = scores
liste_absents = []
numsAbsent = absent.split(‘,’)
print(“Liste absents: “, numsAbsent)
for licence in numsAbsent:
int_licence = int(licence)
tireur = get_tireur_by_licence(int_licence)
liste_absents.append(tireur.to_dict())
print(liste_absents)
liste_absents_dico = []
if liste_absents != []:
for dict_tireur in liste_absents:
tireur = Tireur.query.get(dict_tireur[‘numeroLicenceE’])
if tireur is not None:
tireur.append(tireur)
liste_absents_dico.append(tireur)
return render_template(“arbitrage.html”, poules=poules, id_comp=id_comp, id_type_match=id_type_match, list_absents=liste_absents)
@app.route(”/gestion_score/<int:id_comp>/<int:id_type_match>/”)
def gestion_score(id_comp, id_type_match=1): # par défaut renvoie à la phase des poules il faut vérifier ça
# récuperer les infos des poules dans un dict avec le numéro de poule en clé et la liste des tireurs,le nom de la piste, le nom de l’arbitre en valeur
if request.method == “POST”:
absent = request.form.get(‘liste_absents’, ‘’)
if id_type_match == 1:
poules = {}
nb_poules = get_nb_poules(id_comp)
for i in range(1, nb_poules+1):
poules[i] = {}
tireurs_club = {} # dict avec le tireur en clé et le nom du club en valeur
for tireur in get_liste_tireurs_escrimeurs_poule(id_comp, i):
tireurs_club[tireur] = get_club_tireur_escrimeur(tireur).nomClub
poules[i][‘tireurs’] = tireurs_club
poules[i][‘piste’] = get_piste_poule(id_comp, i)
poules[i][“id_arbitre”] = get_id_arbitre_poule(id_comp, i)
# poules[i][“stats”] = get_poule_stats(i)
poules[i][“matchs”] = get_matchs_poules(i, id_comp)
poules[i][‘arbitre’] = get_arbitre_escrimeur_poule(id_comp, i).nomE + " " + get_arbitre_escrimeur_poule(id_comp, i).prenomE
for num_poule in range(1, nb_poules + 1):
matches = get_matchs_poules(num_poule, id_comp)
scores = {}
print(“avant”)
for match in matches:
match_found = get_match(match.numeroLicenceE1, match.numeroLicenceE2, num_poule, id_comp)
if match_found:
scores[(match_found.numeroLicenceE1, match_found.numeroLicenceE2)] = {
‘touchesDonneesTireur1’: match_found.touchesDonneesTireur1,
‘touchesRecuesTireur2’: match_found.touchesRecuesTireur2
}
scores[(match_found.numeroLicenceE2, match_found.numeroLicenceE1)] = {
‘touchesDonneesTireur2’: match_found.touchesDonneesTireur2,
‘touchesRecuesTireur1’: match_found.touchesRecuesTireur1
}
poules[num_poule][‘scores’] = scores
liste_absents = []
numsAbsent = absent.split(‘,’)
print(“Liste absents: “, numsAbsent)
for licence in numsAbsent:
int_licence = int(licence)
tireur = get_tireur_by_licence(int_licence)
liste_absents.append(tireur.to_dict())
print(liste_absents)
liste_absents_dico = []
if liste_absents != []:
for dict_tireur in liste_absents:
tireur = Tireur.query.get(dict_tireur[‘numeroLicenceE’])
if tireur is not None:
tireur.append(tireur)
liste_absents_dico.append(tireur)
return render_template(‘gestion_score.html’, poules=poules, id_comp=id_comp, id_type_match=1, list_absents=liste_absents)
else:
print(“autre phases”)
@app.route(‘/update_scores’, methods=[‘POST’])
def update_scores():
data = request.get_json()
license = data[‘license’]
opponent_license = data[‘opponentLicense’]
score = data[‘score’]
id_poule = data[‘idPoule’]
id_piste = data[‘idPiste’]
id_comp = data[‘idCompetition’]
id_arbitre = data[‘idArbitre’]
id_type_match = data[‘idTypeMatch’]
print(“license: “, license , “opponent_license: “, opponent_license, “score: “, score, “id_poule: “, id_poule, “id_piste: “, id_piste, “id_comp: “, id_comp, “id_arbitre: “, id_arbitre, “id_type_match: “, id_type_match)
match1 = Match.query.filter_by(numeroLicenceE1=license, numeroLicenceE2=opponent_license).first()
match2 = Match.query.filter_by(numeroLicenceE1=opponent_license, numeroLicenceE2=license).first()
try:
score = int(score)
except ValueError:
return ‘OK’
if match1:
# mettre à jour le match
print(“Mise à jour du match”)
print(“Avant: “, match1.touchesRecuesTireur1, match1.touchesDonneesTireur1, match1.touchesRecuesTireur2, match1.touchesDonneesTireur2)
match1.touchesDonneesTireur1 = score
match1.touchesRecuesTireur2 = score
db.session.commit()
print(“Après: “, match1.touchesRecuesTireur1, match1.touchesDonneesTireur1, match1.touchesRecuesTireur2, match1.touchesDonneesTireur2)
print(“Match mis à jour”)
elif match2:
# mettre à jour le match
print(“Mise à jour du match”)
print(“Avant: “, match2.touchesRecuesTireur1, match2.touchesDonneesTireur1, match2.touchesRecuesTireur2, match2.touchesDonneesTireur2)
match2.touchesDonneesTireur2 = score
match2.touchesRecuesTireur1 = score
db.session.commit()
print(“Après: “, match2.touchesRecuesTireur1, match2.touchesDonneesTireur1, match2.touchesRecuesTireur2, match2.touchesDonneesTireur2)
print(“Match mis à jour”)
else:
# créer le match
print(“Création du match”)
match = Match(type_match=1, piste=id_piste, arbitre=id_arbitre,
tireur1=license, tireur2=opponent_license,
date_match=datetime.date.today(), heure_match=datetime.datetime.now().time().strftime(”%H:%M:%S”),
touches_recues_tireur1=0, touches_donnees_tireur1=score,
touches_recues_tireur2=score, touches_donnees_tireur2=0)
db.session.add(match)
db.session.commit()
print(“Match créé”)
return ‘OK’
@app.route(”/afficher-score-poule/<int:id_comp>/”)
def afficher_score_poule(id_comp):
competition = Competition.query.get_or_404(id_comp)
scores = get_scores_for_competition(id_comp)
return render_template(‘Affichage-score.html’, data=scores, competition=competition)
def get_scores_for_competition(id_comp):
classements = db.session.query(Classement, Escrimeur, Club).join(
Tireur, Classement.numeroLicenceE == Tireur.numeroLicenceE
).join(
Escrimeur, Tireur.numeroLicenceE == Escrimeur.numeroLicenceE
).join(
Club, Tireur.idClub == Club.idClub
).filter(
Classement.idComp == id_comp
).order_by(
Classement.position
).all()
scores = []
for classement, escrimeur, club in classements:
poules = Poule.query.filter_by(idComp=id_comp).subquery()
victoires = db.session.query(Match).join(poules, Match.idPoule == poules.c.idPoule).filter(
db.or_(
db.and_(Match.numeroLicenceE1 == escrimeur.numeroLicenceE,
Match.touchesDonneesTireur1 > Match.touchesRecuesTireur1),
db.and_(Match.numeroLicenceE2 == escrimeur.numeroLicenceE,
Match.touchesDonneesTireur2 > Match.touchesRecuesTireur2)
)
).count()
total_matchs = db.session.query(Match).join(poules, Match.idPoule == poules.c.idPoule).filter(
db.or_(
Match.numeroLicenceE1 == escrimeur.numeroLicenceE,
Match.numeroLicenceE2 == escrimeur.numeroLicenceE
)
).count()
print(victoires, total_matchs)
vm_ratio = (victoires / total_matchs) if total_matchs > 0 else “N/A”
scores.append({
‘Classement’: classement.position,
‘Prenom’: escrimeur.prenomE,
‘Nom’: escrimeur.nomE,
‘VM’: vm_ratio,
‘Club’: club.nomClub
})
return scores
# @app.route(”/telecharger-pdf/<int:id_comp>/”)
# def telecharger_pdf(id_comp):
# scores = get_scores_for_competition(id_comp)
# competition = Competition.query.get_or_404(id_comp)
# rendered = render_template(‘score_table_pdf.html’, data=scores)
# pdf = HTML(string=rendered).write_pdf()
# response = make_response(pdf)
# response.headers[‘Content-Type’] = ‘application/pdf’
# response.headers[‘Content-Disposition’] = f’attachment; filename=tableau_scores_{competition.nomComp}.pdf’
# return response
@app.route(”/arbre-competition”)
def arbre():
return render_template(“arbre.html”)
@app.route(”/inscription-form/”)
def inscription_page():
return render_template(“Inscription.html”, form = InscriptionForm())
@app.route(”/inscription/”, methods=[“GET”, “POST”])
def inscription():
f = InscriptionForm()
if(User.query.filter_by(pseudoUser=f.pseudo.data).first() is not None or User.query.filter_by(emailUser=f.email.data).first() is not None or f.password.data != f.comfirm_password.data):
if(User.query.filter_by(pseudoUser=f.pseudo.data).first() is not None):
flash(“Pseudo déjà utilisé”, “error”)
if(User.query.filter_by(emailUser=f.email.data).first() is not None):
flash(“Email déjà utilisé”, “error”)
if(f.password.data != f.comfirm_password.data):
flash(“Les mots de passe ne correspondent pas”, “error”)
return render_template(“Inscription.html”, form=f)
else:
m = sha256()
m.update(f.password.data.encode())
u = User(pseudoUser=f.pseudo.data , mdpUser=m.hexdigest(), emailUser=f.email.data, statutUser=“Utilisateur”)
db.session.add(u)
db.session.commit()
send_bienvenue_email(f.email.data, f.pseudo.data)
return redirect(url_for(“home”))
@app.route(”/login/”, methods=[“GET”, “POST”])
def login():
f = LoginForm()
user = f.get_authenticated_user()
if user:
login_user(user)
return redirect(url_for(“home_default”))
else:
flash(“Mot de passe incorrect”, “error”)
return render_template(“Login.html”, form=f)
@app.route(”/logout/”)
def logout ():
logout_user ()
return redirect(url_for(“home”))
@app.route(‘/home/’)
def home_default():
return home_def(5)
@app.route(‘/home/<int:items>’, methods=(“GET”,“POST”,))
def home_def(items, opt= None):
total_pages = 0
if request.method == “POST”:
page = int(request.form.get(‘page’, 1))
if ‘next’ in request.form:
page += 1
elif ‘prev’ in request.form:
page -= 1
# récupere les selection du from
session[‘categorie’] = request.form.get(‘categorie’)
session[‘arme’] = request.form.get(‘arme’)
session[‘sexe’] = request.form.get(‘sexe’)
session[‘statut’] = request.form.get(‘statut’)
else:
page = request.args.get(‘page’, 1, type=int)
session[‘categorie’] = request.args.get(‘categorie’, session.get(‘categorie’))
session[‘arme’] = request.args.get(‘arme’, session.get(‘arme’))
session[‘sexe’] = request.args.get(‘sexe’, session.get(‘sexe’))
session[‘statut’] = request.args.get(‘statut’, session.get(‘statut’))
competitions = get_sample()
categories = get_categories()
armes = get_armes()
nb_participants = {comp.idComp: get_nb_participants(comp.idComp) for comp in competitions}
# filtre pour les compet
compet_filtre = filtrer_competitions(competitions, session.get(‘categorie’), session.get(‘arme’), session.get(‘sexe’), session.get(‘statut’))
if len(compet_filtre) !=0:
total_pages = math.ceil(len(compet_filtre) / items)
competitions = compet_filtre[(page - 1) * items:page * items]
else:
competitions = []
return render_template(
“competition.html”,
title=“Compétitions ESCRIME”,
competitions=competitions,
categories=categories,
armes=armes,
nb_participants=nb_participants,
items=items,
selec_arme=session.get(‘arme’),
selec_categorie=session.get(‘categorie’),
selec_sexe=session.get(‘sexe’),
selec_statut=session.get(‘statut’),
page=page,
compet_filtre = compet_filtre,
total_pages=total_pages
)
@app.route(‘/liste-adherent/<int:items>’, methods=[“GET”, “POST”])
def liste_adherents(items):
total_pages = 0
if request.method == “POST”:
page = int(request.form.get(‘page’, 1))
if ‘next’ in request.form:
page += 1
elif ‘prev’ in request.form:
page -= 1
else:
page = request.args.get(‘page’, 1, type=int)
adherents = get_adherents()
categories = get_categories()
role = request.form.get(‘statut’, session.get(‘statuta’, ‘’))
categorie = request.form.get(‘categorie’, session.get(‘categoriea’, ‘’))
sexe = request.form.get(‘sexe’, session.get(‘sexea’, ‘’))
adherents = filtrer_adherent(adherents, categorie, sexe)
if request.method == “POST”:
search_query = request.form.get(‘search’)
# recherche les adhérents en fonction du nom ou prénom
if search_query:
adherents = [adherent for adherent in adherents if search_query.lower() in adherent.Escrimeur.prenomE.lower() or search_query.lower() in adherent.Escrimeur.nomE.lower() or search_query.lower() in str(adherent.Escrimeur.numeroLicenceE)]
session[‘statuta’] = role
session[‘categoriea’] = categorie
session[‘sexea’] = sexe
if len(adherents) !=0:
total_pages = math.ceil(len(adherents) / items)
adherents = adherents[(page - 1) * items:page * items]
else:
adherents = []
return render_template(
“liste-adherents.html”,
title=“Compétitions ESCRIME”,
categories=categories,
selec_categorie=categorie,
selec_sexe=sexe,
selec_statut=role,
adherents=adherents,
items=items,
page=page,
total_pages=total_pages)
@app.route(‘/annuler_comp’, methods=[‘POST’])
def annuler_comp():
# Rediriger vers l’URL d’origine
return redirect(request.referrer or url_for(‘home_default’))
@app.route(”/test_popup/”)
def test_popup():
return render_template(
“test_popup.html”,
title=“Test”)
@app.route(”/edit-user/<name>”, methods=(“GET”,“POST”,))
def edit_user(name):
form = EditUserForm()
if not current_user.is_authenticated:
next = “edit_user”
return redirect(url_for(“login”, next=next))
if form.validate_on_submit():
print(“Formulaire valide”)
user = current_user
if user.pseudoUser != form.username.data:
form.username.errors.append(“Pseudonyme erreur”)
return render_template(“edit-user.html”, form=form, name=name, show_verification_popup=False)
if form.newpsswd.data != form.confirm.data:
form.confirm.errors.append(“Les mots de passe ne correspondent pas”)
return render_template(“edit-user.html”, form=form, name=name, show_verification_popup=False)
code = str(random.randint(1000, 9999))
print(code)
print(user.emailUser)
send_verification_email(user.emailUser, code)
print(“Email envoyé”)
session[‘verification_code’] = code # Stocker le code temporairement
session[‘user_id’] = user.idUser
session[‘new_password’] = form.newpsswd.data # Stocker le nouveau mot de passe temporairement
print(“affichage popup”)
return render_template(“edit-user.html”, form=form, name=name, show_verification_popup=True)
return render_template(“edit-user.html”, form=form, name=name, show_verification_popup=False)
@app.route(”/verify-code/<name>”, methods=[“GET”, “POST”])
def verify_code(name):
if request.method == “POST”:
user_code = request.form[‘code’]
print(user_code)
if user_code == session.get(‘verification_code’):
# Récupérer l’utilisateur et les informations nécessaires
user = User.query.get(session.get(‘user_id’))
if not user:
return “Utilisateur non trouvé”, 404
# Procéder à la mise à jour du mot de passe
new_password = session.get(‘new_password’)
new_password_hash = sha256()
new_password_hash.update(new_password.encode())
user.mdpUser = new_password_hash.hexdigest()
db.session.commit()
# Nettoyer la session
del session[‘verification_code’]
del session[‘user_id’]
del session[‘new_password’]
return redirect(url_for(“home”)) # “Mot de passe mis à jour avec succès!”
else:
flash(“Code de vérification incorrect”, “error”)
return render_template(“edit-user.html”, name=name, form=EditUserForm(), show_verification_popup=True)
@app.route(‘/ajouter_escrimeur/’, methods=[‘GET’, ‘POST’])
def ajouter_escrimeur():
if request.method == ‘POST’:
id = dernier_escrimeur_id() + 1
print(id)
#recup donnees du formulaire
nom = request.form[‘nom_e’]
print(nom)
prenom = request.form[‘prenom_e’]
print(prenom)
date_naissance = request.form[‘date_naissance_e’]
print(date_naissance)
numero_licence = request.form[‘numero_licence_e’]
numero_licence = int(numero_licence)
print(numero_licence)
sexe = ‘Homme’
print(sexe)
num_tel = ‘<PRESIDIO_ANONYMIZED_PHONE_NUMBER>’
num_tel = int(num_tel)
print(num_tel)
default_cat = 1
# creez un nouvel enregistrement d’adherent
nouvel_adherent = Escrimeur(numero_licence_e=numero_licence, categorie=default_cat, prenom_e=prenom, nom_e=nom, date_naissance_e=date_naissance, sexe_e=sexe, num_tel_e=num_tel)
db.session.add(nouvel_adherent)
db.session.commit()
print(“escrimeur ajouté”)
id_club_blois = Club.query.filter_by(nomClub=“BLOIS CE”).first().idClub
print(id_club_blois)
classement_tireur = 0
nouveau_tireur = Tireur(num_licence=numero_licence, club=id_club_blois, classement=classement_tireur)
db.session.add(nouveau_tireur)
db.session.commit()
print(“tireur ajouté”)
return redirect(url_for(‘liste_adherents_def’))
@app.route(‘/’)
def home():
return render_template(‘Login.html’)
from flask import session
@app.route(‘/gestion_poules/<int:id_comp>’, methods=[“GET”, “POST”])
def gestion_poules(id_comp):
liste_poules = []
nb_tireurs = get_nb_tireurs(id_comp)
nb_arbitres = get_nb_arbitres(id_comp)
nb_tireurs_par_poule = nb_tireurs // nb_arbitres
liste_matchs = []
if request.method == “POST”:
classement_checked = ‘classement’ in request.form
club_checked = ‘club’ in request.form
equilibrer_checked = ‘equilibrer’ in request.form
nb_poules = request.form.get(‘nb_poules’)
nb_tireurs_poules_str = request.form.get(‘nb_tireurs/poules’)
if nb_tireurs_poules_str and nb_tireurs_poules_str.isdigit():
nb_tireurs_poules = int(nb_tireurs_poules_str)
liste_tireurs = get_liste_participants_competitions_tireurs(id_comp)
liste_arbitres = get_liste_participants_competitions_arbitres(id_comp)
liste_pistes = get_liste_pistes_selon_nb_arbitres(id_comp, nb_arbitres)
i = len(liste_pistes)
while i < nb_arbitres:
nouvelle_piste = ajouter_piste(id_comp, f"Piste {i+1}”, True)
i += 1
liste_pistes = get_liste_pistes_selon_nb_arbitres(id_comp, nb_arbitres)
nb_tireurs_par_poule = nb_tireurs // nb_arbitres
numero_licence_arbitre = request.form.get(‘numero_licence_arbitre’)
id_arbitre = get_id_arbitre_from_escrimeur(numero_licence_arbitre)
if classement_checked:
liste_tireurs = classer_tireurs(liste_tireurs)
if poules_fabriquables(liste_tireurs, liste_arbitres):
liste_poules = fabriquer_poules(liste_tireurs, liste_arbitres, liste_pistes, “Classement”)
elif club_checked:
if poules_fabriquables(liste_tireurs, liste_arbitres):
liste_poules = fabriquer_poules(liste_tireurs, liste_arbitres, liste_pistes, “Club”)
session[“liste_poules”] = [ [escrimeur[0].numeroLicenceE for escrimeur in poule] for poule in liste_poules]
session[“liste_arbitres”] = [arbitre.numeroLicenceE for arbitre in liste_arbitres]
session[“liste_pistes”] = [piste.idPiste for piste in liste_pistes]
return render_template(‘gestion_poules.html’, id_comp=id_comp, nb_tireurs=get_nb_tireurs(id_comp),
nb_arbitres=get_nb_arbitres(id_comp), liste_tireurs=liste_tireurs, liste_arbitres=liste_arbitres,
liste_poules=liste_poules, nb_tireurs_par_poule=nb_tireurs_par_poule, liste_pistes=liste_pistes)
liste_tireurs = get_liste_participants_competitions_tireurs(id_comp)
liste_arbitres = get_liste_participants_competitions_arbitres(id_comp)
liste_pistes = get_liste_pistes_selon_nb_arbitres(id_comp, nb_arbitres)
competition = Competition.query.get(id_comp)
if competition is not None:
return render_template(‘gestion_poules.html’, id_comp=id_comp, nb_tireurs=nb_tireurs, nb_arbitres=nb_arbitres,
liste_tireurs=liste_tireurs, liste_arbitres=liste_arbitres,
liste_poules=liste_poules, nb_tireurs_par_poule=nb_tireurs_par_poule, liste_pistes=liste_pistes)
@app.route(”/appel/<int:id_comp>”, methods=[“GET”, “POST”])
def appel(id_comp):
rows_data = []
participants_present = []
if request.method == “POST”:
pistes = session.get(“liste_pistes”)
arbitres = session.get(“liste_arbitres”)
liste_poules = session.get(“liste_poules”)
try:
for i in range(len(liste_poules)):
num_licence_arbitre = arbitres[i]
id_arbitre = get_id_arbitre_from_escrimeur(num_licence_arbitre)
nom_poule = f"Poule {i+1}”
id_piste = pistes[i]
ajouter_poule(id_comp, id_piste, id_arbitre, nom_poule)
id_poule = get_id_poule(id_comp, id_piste, id_arbitre, nom_poule)
for j in range(1, len(liste_poules[i])):
ajouter_participant_poule(id_poule, liste_poules[i][j], id_comp)
tireur = Tireur.query.get(liste_poules[i][j])
rows_data.append(tireur.to_dict())
id_type_match = 1 # correspond a un match de poule
date_match = datetime.date.today()
date_match_str = date_match.strftime(“%Y-%m-%d”)
heure_match = datetime.datetime.now().time().strftime(“%H:%M:%S”)
for i in range(len(liste_poules)):
poule = liste_poules[i]
id_piste = pistes[i]
id_arbitre = get_id_arbitre_from_escrimeur(arbitres[i])
id_poule = get_id_poule(id_comp, id_piste, id_arbitre, f"Poule {i+1}“) # Move this line here
for j in range(len(poule)):
for k in range(j+1, len(poule)):
numero_licence_e1 = poule[j]
numero_licence_e2 = poule[k]
match_id = ajouter_match(id_type_match, id_piste, id_arbitre, numero_licence_e1, numero_licence_e2, date_match_str, heure_match, 0, 0, 0, 0)
if match_id is not None:
contenir = Contenir(idPoule=id_poule, idComp=id_comp, idMatch=match_id)
db.session.add(contenir)
db.session.commit()
redirect(url_for(‘appel’, id_comp=id_comp))
competition = Competition.query.get(id_comp)
return render_template(‘appel.html’, competition = competition, rows_data=rows_data, participants_present=participants_present)
except Exception as e:
print(e)
competition = Competition.query.get(id_comp)
if competition is not None:
rows_data = []
participants_comp = get_liste_participants_competitions(id_comp)
participants_comp = get_liste_participants_competitions(id_comp)
for participant in participants_comp:
dict_tireur = participant.tireur.to_dict()
rows_data.append(dict_tireur)
participants_present = []
return render_template(‘appel.html’, competition = competition, rows_data=rows_data, participants_present=participants_present)
@app.route(‘/adherent/’)
def liste_adherents_def():
return liste_adherents(5)
@app.route(”/ajout-comp")
def ajout_comp_page():
armes = get_armes()
categories = get_categories()
lieux = get_lieux()
types = [“Individuelle”, “Equipe”]
return render_template(“ajout-comp.html”, listeArmes=armes, listeCategories=categories, listeTypeMatch=types, lieux=lieux)
@app.route(‘/ajout-comp/’, methods=[‘POST’])
def ajout_comp():
# Récupérez les données du formulaire
nomLieu = request.form.get(‘nomLieu’)
adresseLieu = request.form.get(‘adresseLieu’)
villeLieu = request.form.get(‘villeLieu’)
cpLieu = request.form.get(‘codePostalLieu’)
nomSaison = “Saison 2023” # Supposons que c’est fixe pour cet exemple
nomCat = request.form.get(‘categorie’) # Assurez-vous que le nom correspond au champ dans le HTML
nomArme = request.form.get(‘arme’) # Idem
nomComp = request.form.get(‘titre’)
nomOrga = request.form.get(‘organisateur’)
descComp = f"Competition {nomComp} organisée par {nomOrga}" # Ajoutez un champ pour la description si nécessaire
dateComp = request.form.get(‘date-deroulement’)
heureComp = request.form.get(‘appt’)
sexeComp = request.form.get(‘sexe’)[:1].upper()
estIndividuelle = request.form.get(‘type’) == ‘Individuelle’
print(nomLieu,adresseLieu,villeLieu,cpLieu, nomSaison, nomCat, nomArme, nomComp, nomOrga, descComp, dateComp, heureComp, sexeComp, estIndividuelle)
resultat = creer_competition(nomLieu,adresseLieu,villeLieu,cpLieu, nomSaison, nomCat, nomArme, nomComp, descComp, dateComp, heureComp, sexeComp, estIndividuelle)
if isinstance(resultat, Competition):
return redirect(url_for(‘gestion_participants’, id_comp=resultat.idComp))
else:
return redirect(url_for(‘ajout_comp_page’))
# @app.route(‘/annuler_comp’, methods=[‘POST’])
# def annuler_comp():
# if lieu is None:
# lieu = Lieu(nom_lieu=form.lieu.data, ville_lieu=“”, code_postal_lieu=0, adresse_lieu=“”)
# db.session.add(lieu)
# db.session.commit()
# competition = Competition(idLieu=lieu.idLieu,
# idSaison=Saison.query.get(1).idSaison,
# idCat=getattr(Categorie.query.filter_by(nomCategorie=form.categorie.data).first(), ‘idCat’, None),
# idArme=getattr(Arme.query.filter_by(nomArme=form.arme.data).first(), ‘idArme’, None),
# nomComp=form.titre.data,
# descComp=f"Competition organisée par {form.organisateur.data}“,
# dateComp=form.date_deroulement.data,
# heureComp=form.heure_debut.data,
# sexeComp=form.sexe.data[:1],
# estIndividuelle=form.type_comp.data == ‘individuel’)
# db.session.add(competition)
# db.session.commit()
# flash(‘La compétition a été ajoutée’) # à changer avec une popup
# return redirect(url_for(‘home’))
# # Rediriger vers l’URL d’origine
# return redirect(request.referrer or url_for(‘home_default’))
@app.route(”/gestion_participants/<int:id_comp>“, methods=(“GET”, “POST”))
def gestion_participants(id_comp):
competition = Competition.query.get(id_comp)
participants_blois = get_participants(id_comp, club=“BLOIS CE”)
participants_other = get_participants(id_comp, club=”!“)
participants_arb = get_arbitres(id_comp)
nb_participants_blois = len(participants_blois)
nb_participants_other = len(participants_other)
nb_participants_arb = len(participants_arb)
return render_template(
“gestion-participants.html”,
title=“Gestion des participants”,
participants_blois=participants_blois,
nb_participants_blois=nb_participants_blois,
participants_other=participants_other,
nb_participants_other=nb_participants_other,
competition=competition,
participants_arb=participants_arb,
nb_participants_arb=nb_participants_arb
)
@app.route(‘/ajouter_arbitre_competition/<int:id_comp>’, methods=[‘POST’])
def ajouter_arbitre_competition(id_comp):
data = request.get_json()
numeroLicenceE = data.get(‘numeroLicenceE’)
logging.debug(numeroLicenceE)
arbitre = Arbitre(numeroLicenceE)
db.session.add(arbitre)
participant = ParticipantsCompetition(numeroLicenceE, id_comp)
db.session.add(participant)
db.session.commit()
logging.debug(“ça passe commit participant compet”)
return jsonify({‘success’: True, ‘message’: ‘Arbitre ajouté avec succès’})
@app.route(‘/get_escrimeurs/<gender>/<int:id_comp>’)
def get_escrimeurs_json(gender, id_comp):
escrimeurs_to_display = []
escrimeurs = None
if gender == ‘M’:
escrimeurs = Escrimeur.query.all()
elif gender == “H”:
gender = “Homme”
escrimeurs = Escrimeur.query.filter_by(sexeE=gender).all()
elif gender == “F”:
gender = “Femme”
escrimeurs = Escrimeur.query.filter_by(sexeE=gender).all()
registered_licence_numbers = set()
participants = get_liste_participants_competitions(id_comp)
for participant in participants:
registered_licence_numbers.add(participant.tireur.numeroLicenceE)
escrimeurs_to_display = [e for e in escrimeurs if e.numeroLicenceE not in registered_licence_numbers]
return jsonify([escrimeur.to_dict() for escrimeur in escrimeurs_to_display])
@app.route(‘/get_adherents/<gender>/<int:id_comp>’)
def get_adherents_json(gender,id_comp):
registered_licence_numbers = set()
participants = get_liste_participants_competitions(id_comp)
escrimeurs = get_adherents_adapte_json(gender)
for participant in participants:
registered_licence_numbers.add(participant.tireur.numeroLicenceE)
escrimeurs_to_display = [e for e in escrimeurs if e.numeroLicenceE not in registered_licence_numbers]
return jsonify([escrimeur.to_dict() for escrimeur in escrimeurs_to_display])
@app.route(‘/delete_participant/<int:id_comp>/<int:id>/’, methods=[‘POST’])
def delete_participant(id, id_comp):
participant = ParticipantsCompetition.query.filter_by(numeroLicenceE=id).first()
if participant:
db.session.delete(participant)
db.session.commit()
return redirect(url_for(‘gestion_participants’, id_comp=id_comp))
@app.route(‘/ajouter_escrimeur_competition/<int:id_comp>/’, methods=[‘POST’])
def add_participant(id_comp):
if request.method == ‘POST’:
tireur = request.get_json().get(‘numeroLicenceE’)
logging.debug(f’numerolicence_tireur: {tireur}‘)
tireur = Tireur.query.get(tireur)
logging.debug(f’tireur: {tireur}’)
competition = Competition.query.get(id_comp)
logging.debug(f’competition: {competition}‘)
getattr(competition, “idComp”, None)
if tireur and competition:
participant = ParticipantsCompetition(numeroLicenceE=getattr(tireur, “numeroLicenceE”, None), idComp=getattr(competition, “idComp”, None))
logging.debug(‘creation participant’)
db.session.add(participant)
logging.debug(‘crash ?’)
try:
db.session.commit()
logging.debug(‘Commit successful’)
except Exception as e:
db.session.rollback()
logging.error(f’Error during commit: {str(e)}’)
logging.debug(‘Participant added successfully’)
else:
logging.debug(‘Failed to add participant’)
return redirect(url_for(‘gestion_participants’, id_comp=id_comp))
@app.route(”/delete_arbitre/<int:id_comp>/<int:id_arbitre>/“, methods=[“POST”])
def delete_arbitre(id_comp, id_arbitre):
arbitre = Arbitre.query.filter_by(idArbitre=id_arbitre).first()
if arbitre:
participant = ParticipantsCompetition.query.filter_by(
numeroLicenceE=arbitre.numeroLicenceE, idComp=id_comp
).first()
if participant:
db.session.delete(participant)
db.session.delete(arbitre)
db.session.commit()
return redirect(url_for(“gestion_participants”, id_comp=id_comp))
@app.route(‘/update_database’, methods=[‘POST’])
def update_database():
data = request.get_json()
field = data.get(‘field’)
value = data.get(‘value’)
competition_id = data.get(‘competitionId’)
competition = Competition.query.get(competition_id)
setattr(competition, field, value)
db.session.commit()
return ‘OK’
@app.route(‘/competition/<int:id_comp>’)
def actu_stat_comp(id_comp):
competition = Competition.query.get_or_404(id_comp)
state = get_competition_statut(competition)
if state == ‘participants’:
return redirect(url_for(‘gestion_participants’, id_comp=id_comp))
elif state == ‘poule’:
return redirect(url_for(‘gestion_poules’, id_comp=id_comp))
elif state == ‘appel’:
return redirect(url_for(‘appel’, id_comp=id_comp))
elif state == ‘score’:
return redirect(url_for(‘gestion_score’, id_comp=id_comp))
else:
return “les problèmes”
@app.route(‘/arbre/<int:id_comp>’)
def classement_provisioire(id_comp):
#
#else :
competition = Competition.query.get_or_404(id_comp)
poules = Poule.query.filter_by(idComp=id_comp).all()
quarts = []
demis = []
finale = []
troisieme =[]
for poule in poules:
matchs = Match.query.filter_by(idPoule=poule.idPoule).all()
for match in matchs:
if match.idTypeMatch == 2 :
quarts.append(match.to_dict())
elif match.idTypeMatch == 3 :
demis.append(match.to_dict())
elif match.idTypeMatch == 4 :
finale.append(match.to_dict())
elif match.idTypeMatch == 5 :
troisieme.append(match.to_dict())
return render_template(‘arbre.html’, competition=competition, quarts=quarts, demis=demis, finale=finale, troisieme = troisieme)
@app.route(‘/update_absents’, methods=[‘POST’])
def update_absents():
participants_absents = request.json[‘participants_absents’]
session[‘participants_absents’] = participants_absents
return jsonify(success=True)import datetime
from sqlalchemy import and_, func
from .app import db, login_manager
from flask_login import UserMixin
from sqlalchemy import or_
# Modèle pour représenter le lieu
class Lieu(db.Model):
tablename = ‘LIEU’
idLieu = db.Column(db.Integer, primary_key=True, autoincrement=True)
nomLieu = db.Column(db.String(50), nullable=False)
villeLieu = db.Column(db.String(50), nullable=False)
codePostalLieu = db.Column(db.Integer, nullable=False)
adresseLieu = db.Column(db.String(50), nullable=False)
def init(self, nom_lieu, ville_lieu, code_postal_lieu, adresse_lieu):
self.nomLieu = nom_lieu
self.villeLieu = ville_lieu
self.codePostalLieu = code_postal_lieu
self.adresseLieu = adresse_lieu
# Modèle pour représenter l’arme
class Arme(db.Model):
tablename = ‘ARME’
idArme = db.Column(db.Integer, primary_key=True, autoincrement=True)
nomArme = db.Column(db.String(50), nullable=False, unique = True)
def init(self, nom_arme):
self.nomArme = nom_arme
# Modèle pour représenter la saison
class Saison(db.Model):
tablename = ‘SAISON’
idSaison = db.Column(db.Integer, primary_key=True, autoincrement=True)
nomSaison = db.Column(db.String(50), nullable=False)
dateDebutSaison = db.Column(db.Date, nullable=False)
dateFinSaison = db.Column(db.Date, nullable=False)
def init(self, nom_saison, date_debut_saison, date_fin_saison):
self.nomSaison = nom_saison
self.dateDebutSaison = date_debut_saison
self.dateFinSaison = date_fin_saison
# Modèle pour représenter la catégorie
class Categorie(db.Model):
tablename = ‘CATEGORIE’
idCat = db.Column(db.Integer, primary_key=True, autoincrement=True)
nomCategorie = db.Column(db.String(50), nullable=False, unique=True)
def init(self, nom_categorie):
self.nomCategorie = nom_categorie
# Modèle pour représenter le club
class Club(db.Model):
tablename = ‘CLUB’
idClub = db.Column(db.Integer, primary_key=True, autoincrement=True)
nomClub = db.Column(db.String(50), nullable=False, unique = True)
regionClub = db.Column(db.String(50), nullable=False)
def init(self, nom_club, region_club):
self.nomClub = nom_club
self.regionClub = region_club
# Modèle pour représenter la compétition
class Competition(db.Model):
tablename = ‘COMPETITION’
idComp = db.Column(db.Integer, primary_key=True, autoincrement=True)
idLieu = db.Column(db.Integer, db.ForeignKey(‘LIEU.idLieu’), nullable=False)
lieu = db.relationship(‘Lieu’, backref=‘Lieu.idLieu’)
idSaison = db.Column(db.Integer, db.ForeignKey(‘SAISON.idSaison’), nullable=False)
saison = db.relationship(‘Saison’, backref=‘Saison.idSaison’)
idCat = db.Column(db.Integer, db.ForeignKey(‘CATEGORIE.idCat’), nullable=False)
categorie = db.relationship(‘Categorie’, backref=‘Categorie.idCat’)
idArme = db.Column(db.Integer, db.ForeignKey(‘ARME.idArme’), nullable=False)
arme = db.relationship(‘Arme’, backref=‘Arme.idArme’)
nomComp = db.Column(db.String(50), nullable=False)
descComp = db.Column(db.String(50), nullable=False)
dateComp = db.Column(db.Date, nullable=False)
heureComp = db.Column(db.Time, nullable=False)
sexeComp = db.Column(db.String(1), nullable=False)
estIndividuelle = db.Column(db.Boolean, nullable=False)
def init(self, idLieu, idSaison, idCat, idArme, nomComp, descComp, dateComp, heureComp, sexeComp, estIndividuelle):
self.idLieu = idLieu
self.idSaison = idSaison
self.idCat = idCat
self.idArme = idArme
self.nomComp = nomComp
self.descComp = descComp
self.dateComp = dateComp
self.heureComp = heureComp
self.sexeComp = sexeComp
self.estIndividuelle = estIndividuelle
# Modèle pour représenter la piste
class Piste(db.Model):
tablename = ‘PISTE’
idPiste = db.Column(db.Integer, primary_key=True, autoincrement=True)
idComp = db.Column(db.Integer, db.ForeignKey(‘COMPETITION.idComp’), nullable=False)
nomPiste = db.Column(db.String(50), nullable=False)
estDispo = db.Column(db.Boolean, nullable=False)
competition = db.relationship(‘Competition’, backref=‘Competition.idComp’)
def init(self, competition, nom_piste, est_dispo):
self.idComp = competition
self.nomPiste = nom_piste
self.estDispo = est_dispo
# Modèle pour représenter le type de match
class TypeMatch(db.Model):
tablename = ‘TYPE_MATCH’
idTypeMatch = db.Column(db.Integer, primary_key=True, autoincrement=True)
nomTypeMatch = db.Column(db.String(50), nullable=False)
nbTouches = db.Column(db.Integer, nullable=False)
def init(self, nom_type_match, nb_touches):
self.nomTypeMatch = nom_type_match
self.nbTouches = nb_touches
# Modèle pour représenter l’escrimeur
class Escrimeur(db.Model):
tablename = ‘ESCRIMEUR’
numeroLicenceE = db.Column(db.Integer, nullable=False, primary_key=True)
idCat = db.Column(db.Integer, db.ForeignKey(‘CATEGORIE.idCat’), nullable=False)
prenomE = db.Column(db.String(50), nullable=False)
nomE = db.Column(db.String(50), nullable=False)
dateNaissanceE = db.Column(db.Date, nullable=False)
sexeE = db.Column(db.String(50), nullable=False)
numTelE = db.Column(db.Integer, nullable=True)
categorie = db.relationship(‘Categorie’, backref=‘categorie’)
def init(self, categorie, prenom_e, nom_e, date_naissance_e, numero_licence_e, sexe_e, num_tel_e):
self.idCat = categorie
self.numeroLicenceE = numero_licence_e
self.idCat = categorie
self.prenomE = prenom_e
self.nomE = nom_e
self.dateNaissanceE = date_naissance_e
self.sexeE = sexe_e
self.numTelE = num_tel_e
def to_dict(self):
return {
‘idCat’: self.idCat,
‘prenomE’: self.prenomE,
‘nomE’: self.nomE,
‘dateNaissanceE’: self.dateNaissanceE.isoformat() if self.dateNaissanceE else None,
‘numeroLicenceE’: self.numeroLicenceE,
‘sexeE’: self.sexeE,
‘numTelE’: self.numTelE,
‘categorie’: self.categorie.nomCategorie
}
# Modèle pour représenter les tireurs
class Tireur(db.Model):
tablename = ‘TIREUR’
numeroLicenceE = db.Column(db.Integer, db.ForeignKey(‘ESCRIMEUR.numeroLicenceE’), primary_key=True)
idClub = db.Column(db.Integer, db.ForeignKey(‘CLUB.idClub’), nullable=False)
classement = db.Column(db.Integer, nullable=False)
club = db.relationship(‘Club’, backref=‘Club.idClub’)
escrimeur = db.relationship(‘Escrimeur’, backref=‘Escrimeur.tireur’)
def init(self, num_licence, club, classement):
self.numeroLicenceE = num_licence
self.idClub = club
self.classement = classement
def to_dict(self):
dic_tireur = self.escrimeur.to_dict()
dic_tireur[‘idClub’] = self.idClub
dic_tireur[‘nomClub’] = self.club.nomClub
dic_tireur[‘classement’] = self.classement
return dic_tireur
# Modèle pour représenter les arbitres
class Arbitre(db.Model):
tablename = ‘ARBITRE’
idArbitre = db.Column(db.Integer, primary_key=True, autoincrement=True)
numeroLicenceE = db.Column(db.Integer, db.ForeignKey(‘ESCRIMEUR.numeroLicenceE’))
arbitre = db.relationship(‘Escrimeur’, backref=‘Arbitre.numeroLicenceE’)
def init(self, numeroLicenceE):
self.numeroLicenceE = numeroLicenceE
# Modèle pour représenter les participants aux compétitions
class ParticipantsCompetition(db.Model):
tablename = ‘PARTICIPANTS_COMPETITION’
numeroLicenceE = db.Column(db.Integer, db.ForeignKey(‘ESCRIMEUR.numeroLicenceE’), primary_key=True)
idComp = db.Column(db.Integer, db.ForeignKey(‘COMPETITION.idComp’), primary_key=True)
tireur = db.relationship(‘Escrimeur’, backref=‘PartEscrimeur’, foreign_keys=[numeroLicenceE])
competition = db.relationship(‘Competition’, backref=‘PartCompetition.idComp’)
def init(self, numeroLicenceE, idComp):
self.numeroLicenceE = numeroLicenceE
self.idComp = idComp
# Modèle pour représenter la relation entre les escrimeurs et les armes qu’ils pratiquent
class PratiquerArme(db.Model):
tablename = ‘PRATIQUER_ARME’
numero_licence_e_fk = db.Column(db.Integer, db.ForeignKey(‘ESCRIMEUR.numeroLicenceE’), primary_key=True)
id_arme_fk = db.Column(db.Integer, db.ForeignKey(‘ARME.idArme’), primary_key=True)
escrimeur = db.relationship(‘Escrimeur’, backref=‘armes_pratiquees’)
arme = db.relationship(‘Arme’, backref=‘pratiquee_par’)
def init(self, numero_licence_e_fk, id_arme_fk):
self.numero_licence_e_fk = numero_licence_e_fk
self.id_arme_fk = id_arme_fk
# Modèle pour représenter le classement final
class Classement(db.Model):
tablename = ‘CLASSEMENT’
idComp = db.Column(db.Integer, db.ForeignKey(‘COMPETITION.idComp’), primary_key=True, nullable=False)
numeroLicenceE = db.Column(db.Integer, db.ForeignKey(‘TIREUR.numeroLicenceE’), primary_key=True, nullable=False)
position = db.Column(db.Integer, nullable=False)
competition = db.relationship(‘Competition’, backref=‘competition’)
tireur = db.relationship(‘Tireur’, backref=‘Tireur.numeroLicenceE’)
def init(self, comp, tireur, position):
self.idComp = comp
self.numeroLicenceE = tireur
self.position = position
# Modèle pour représenter les poules
class Poule(db.Model):
tablename = ‘POULE’
idPoule = db.Column(db.Integer, primary_key=True)
idComp = db.Column(db.Integer, db.ForeignKey(‘COMPETITION.idComp’), primary_key=True, nullable=False)
idPiste = db.Column(db.Integer, db.ForeignKey(‘PISTE.idPiste’), nullable=False)
idArbitre = db.Column(db.Integer, db.ForeignKey(‘ARBITRE.idArbitre’), nullable=False)
nomPoule = db.Column(db.String(50), nullable=False)
competition = db.relationship(‘Competition’, backref=‘poules’)
piste = db.relationship(‘Piste’, backref=‘Piste.idPiste’)
arbitre = db.relationship(‘Arbitre’, backref=‘Arbitre.idArbitre’)
def init(self, competition, piste, arbitre, nom_poule):
self.idComp = competition
self.idPiste = piste
self.idArbitre = arbitre
self.nomPoule = nom_poule
self.idPoule = self.get_next_idPoule(competition)
@staticmethod
def get_next_idPoule(competition):
last_poule = Poule.query.filter_by(idComp=competition).order_by(Poule.idPoule.desc()).first()
return 1 if not last_poule else last_poule.idPoule + 1
# Modèle pour représenter les participants aux poules
class ParticipantsPoule(db.Model):
tablename = ‘PARTICIPANTS_POULE’
idPoule = db.Column(db.Integer, db.ForeignKey(‘POULE.idPoule’), primary_key=True)
idComp = db.Column(db.Integer, db.ForeignKey(‘COMPETITION.idComp’), primary_key=True, nullable=False)
numeroLicenceE = db.Column(db.Integer, db.ForeignKey(‘TIREUR.numeroLicenceE’), primary_key=True)
poule = db.relationship(‘Poule’, backref=‘Poule.idPoule’)
tireur = db.relationship(‘Tireur’, backref=‘poule_participants’)
def init(self, poule, tireur, idComp):
self.idPoule = poule
self.numeroLicenceE = tireur
self.idComp = idComp
# Modèle pour représenter les matchs de poule
class Match(db.Model):
tablename = ‘MATCH’
idMatch = db.Column(db.Integer, primary_key=True, autoincrement=True)
idTypeMatch = db.Column(db.Integer, db.ForeignKey(‘TYPE_MATCH.idTypeMatch’), nullable=False)
gagnant = db.Column(db.Integer, db.ForeignKey(‘TIREUR.numeroLicenceE’), nullable=True)
idPiste = db.Column(db.Integer, db.ForeignKey(‘PISTE.idPiste’), nullable=False)
idArbitre = db.Column(db.Integer, db.ForeignKey(‘ARBITRE.idArbitre’), nullable=False)
numeroLicenceE1 = db.Column(db.Integer, db.ForeignKey(‘TIREUR.numeroLicenceE’), nullable=False)
numeroLicenceE2 = db.Column(db.Integer, db.ForeignKey(‘TIREUR.numeroLicenceE’), nullable=False)
dateMatch = db.Column(db.Date, nullable=False)
heureMatch = db.Column(db.Time, nullable=False)
touchesRecuesTireur1 = db.Column(db.Integer)
touchesDonneesTireur1 = db.Column(db.Integer)
touchesRecuesTireur2 = db.Column(db.Integer)
touchesDonneesTireur2 = db.Column(db.Integer)
type_match = db.relationship(‘TypeMatch’, backref=‘TypeMatch.idTypeMatch’)
piste = db.relationship(‘Piste’, backref=‘matches’)
arbitre = db.relationship(‘Arbitre’, backref=‘matches’)
tireur1 = db.relationship(‘Tireur’, foreign_keys=[numeroLicenceE1], backref=‘Tireur.numeroLicenceE1’)
tireur2 = db.relationship(‘Tireur’, foreign_keys=[numeroLicenceE2], backref=‘Tireur.numeroLicenceE2’)
def init(self, type_match, piste, arbitre, tireur1, tireur2, date_match, heure_match, touches_recues_tireur1, touches_donnees_tireur1, touches_recues_tireur2, touches_donnees_tireur2):
self.idTypeMatch = type_match
self.idPiste = piste
self.idArbitre = arbitre
self.numeroLicenceE1 = tireur1
self.numeroLicenceE2 = tireur2
self.dateMatch = date_match
self.heureMatch = heure_match
self.touchesRecuesTireur1 = touches_recues_tireur1
self.touchesDonneesTireur1 = touches_donnees_tireur1
self.touchesRecuesTireur2 = touches_recues_tireur2
self.touchesDonneesTireur2 = touches_donnees_tireur2
self.idPoule = 1
def to_dict(self):
return {
‘idTypeMatch’: self.idTypeMatch,
‘idPiste’: self.idPiste,
‘idArbitre’: self.idArbitre,
‘idPoule’: self.idPoule,
‘tireur1’: Tireur.query.filter_by(numeroLicenceE = self.numeroLicenceE1).first(),
‘tireur2’: Tireur.query.filter_by(numeroLicenceE = self.numeroLicenceE2).first(),
‘dateMatch’: self.dateMatch.isoformat() if self.dateMatch else None,
‘heureMatch’: self.heureMatch.isoformat() if self.heureMatch else None,
‘touchesRecuesTireur1’: self.touchesRecuesTireur1,
‘touchesDonneesTireur1’: self.touchesDonneesTireur1,
‘touchesRecuesTireur2’: self.touchesRecuesTireur2,
‘touchesDonneesTireur2’: self.touchesDonneesTireur2
}
class Contenir(db.Model):
tablename = ‘CONTENIR’
idPoule = db.Column(db.Integer, db.ForeignKey(‘POULE.idPoule’), primary_key=True)
idMatch = db.Column(db.Integer, db.ForeignKey(‘MATCH.idMatch’), primary_key=True)
idComp = db.Column(db.Integer, db.ForeignKey(‘COMPETITION.idComp’), primary_key=True)
def init(self, poule, match, idComp):
self.idPoule = poule
self.idMatch = match
self.idComp = idComp
class User(db.Model, UserMixin):
tablename = ‘USER’
idUser = db.Column(db.Integer, primary_key=True)
pseudoUser = db.Column(db.String (50), unique=True, nullable=False)
mdpUser = db.Column(db.String (64), nullable=False)
emailUser = db.Column(db.String (50), unique=True)
statutUser = db.Column(db.String(50), nullable=False)
def get_id(self):
return self.idUser
@login_manager.user_loader
def load_user(username):
return User.query.get(username)
def get_sample():
return Competition.query.order_by(Competition.dateComp.desc()).all()
def get_competition_by_id(id_comp):
return Competition.query.filter_by(idComp=id_comp).first()
def get_categories():
categories = Categorie.query.all()
return [categorie.nomCategorie for categorie in categories]
def get_saisons():
saisons = Saison.query.all()
return [saison.nomSaison for saison in saisons]
def get_lieux():
lieux = Lieu.query.all()
return [lieu.nomLieu for lieu in lieux]
def get_armes():
armes = Arme.query.all()
return [arme.nomArme for arme in armes]
def get_type_match():
type_match = TypeMatch.query.all()
return [type_match.nomTypeMatch for type_match in type_match]
def get_nb_participants(id_tournoi):
participants_count = ParticipantsCompetition.query.join(Competition).filter(Competition.idComp == id_tournoi).count()
return participants_count
def filtrer_competitions(competitions, categorie, arme, sexe, statut):
comp_filtrer = competitions
if categorie:
comp_filtrer = [comp for comp in comp_filtrer if comp.categorie.nomCategorie == categorie]
if arme:
comp_filtrer = [comp for comp in comp_filtrer if comp.arme.nomArme == arme]
if sexe:
comp_filtrer = [comp for comp in comp_filtrer if comp.sexeComp == sexe]
if statut:
if statut == “A venir”:
comp_filtrer = [comp for comp in comp_filtrer if comp.dateComp > datetime.date.today()]
elif statut == “Terminé”:
comp_filtrer = [comp for comp in comp_filtrer if comp.dateComp <= datetime.date.today()]
return comp_filtrer
def filtrer_adherent(adherents, categorie, sexeE):
adherents_filtrer = adherents
if categorie:
adherents_filtrer = [adherent for adherent in adherents_filtrer if adherent.Categorie.nomCategorie == categorie]
if sexeE:
adherents_filtrer = [adherent for adherent in adherents_filtrer if adherent.Escrimeur.sexeE == sexeE]
# if role == ‘tireur’:
# adherents_filtrer = [adherent for adherent in adherents_filtrer if adherent.Arbitre is None]
# elif role == ‘arbitre’:
# adherents_filtrer = [adherent for adherent in adherents_filtrer if adherent.Arbitre is not None]
return adherents_filtrer
def get_id_lieu(nom_lieu):
lieu = Lieu.query.filter_by(nomLieu=nom_lieu).first()
return lieu.idLieu if lieu else None
def get_id_saison(nom_saison):
saison = Saison.query.filter_by(nomSaison=nom_saison).first()
return saison.idSaison if saison else None
def get_liste_participants_competitions_tireurs(id_comp):
return ParticipantsCompetition.query.join(Tireur, ParticipantsCompetition.numeroLicenceE == Tireur.numeroLicenceE).filter(ParticipantsCompetition.idComp == id_comp).all()
def get_liste_tireurs_escrimeurs_poule(id_comp, id_poule):
return Escrimeur.query.join(
Tireur, Escrimeur.numeroLicenceE == Tireur.numeroLicenceE
).join(
ParticipantsPoule, Tireur.numeroLicenceE == ParticipantsPoule.numeroLicenceE
).filter(
ParticipantsPoule.idComp == id_comp,
ParticipantsPoule.idPoule == id_poule
).all()
def get_club_tireur_escrimeur(tireur):
return Club.query.join(Tireur, Club.idClub == Tireur.idClub).filter(Tireur.numeroLicenceE == tireur.numeroLicenceE).first()
def get_arbitre_escrimeur_poule(id_comp, id_poule):
escrimeur = Escrimeur.query.join(Arbitre, Escrimeur.numeroLicenceE == Arbitre.numeroLicenceE).join(Poule, Arbitre.idArbitre == Poule.idArbitre).filter(Poule.idComp == id_comp).filter(Poule.idPoule == id_poule).first()
if escrimeur is not None:
return escrimeur
else:
return None
def get_id_arbitre_poule(id_comp, id_poule):
arbitre_poule = Arbitre.query.join(Poule, Arbitre.idArbitre == Poule.idArbitre).filter(Poule.idComp == id_comp).filter(Poule.idPoule == id_poule).first()
if arbitre_poule is not None:
return arbitre_poule.idArbitre
else:
return None
def get_piste_poule(id_comp, id_poule):
# retourne la piste de la poule de cette compétition
return Piste.query.join(Poule, Poule.idPiste == Piste.idPiste).filter(Poule.idComp == id_comp).filter(Poule.idPoule == id_poule).first()
def get_liste_participants_competitions_arbitres(id_comp):
return ParticipantsCompetition.query.join(Arbitre, ParticipantsCompetition.numeroLicenceE == Arbitre.numeroLicenceE).filter(ParticipantsCompetition.idComp == id_comp).all()
def get_classement_tireur(num_licence):
return Tireur.query.filter_by(numeroLicenceE=num_licence).first().classement
def get_id_club_tireur(num_licence):
return Tireur.query.filter_by(numeroLicenceE=num_licence).first().idClub
def get_id_arbitre_from_escrimeur(numero_licence):
arbitre = Arbitre.query.filter_by(numeroLicenceE=numero_licence).first()
if arbitre:
return arbitre.idArbitre
def get_nom_club_by_id(id_club):
return Club.query.filter_by(idClub=id_club).first().nomClub
def classer_tireurs(tireurs):
return sorted(tireurs, key=lambda tireur : get_classement_tireur(tireur.numeroLicenceE), reverse=True)
def poules_fabriquables(tireurs, arbitres):
return True if 3 <= len(tireurs) // len(arbitres) <= 7 and len(tireurs) > 3 else False
def nb_poules_fabriquables(arbitres):
return [[] for _ in range(len(arbitres))]
def get_nb_arbitres(id_comp):
return ParticipantsCompetition.query.join(Arbitre, ParticipantsCompetition.numeroLicenceE == Arbitre.numeroLicenceE).filter(ParticipantsCompetition.idComp == id_comp).count()
def get_nb_tireurs(id_comp):
return ParticipantsCompetition.query.join(Tireur, ParticipantsCompetition.numeroLicenceE == Tireur.numeroLicenceE).filter(ParticipantsCompetition.idComp == id_comp).count()
def get_liste_pistes_selon_nb_arbitres(id_comp, nb_arbitres):
return Piste.query.filter_by(idComp=id_comp).limit(nb_arbitres).all()
def fabriquer_poules_selon_classement(tireurs, arbitres, pistes):
if not poules_fabriquables(tireurs, arbitres):
return “Les poules ne sont pas fabriquables”
liste_triee = classer_tireurs(tireurs)
liste_poules = nb_poules_fabriquables(arbitres)
tireurs_dans_poule = set()
arbitres_dans_poule = set()
pistes_associees = set()
for i in range(len(liste_triee)):
if arbitres[i % len(arbitres)] not in arbitres_dans_poule and pistes[i % len(arbitres)] not in pistes_associees:
escrimeur = Escrimeur.query.filter_by(numeroLicenceE=arbitres[i].numeroLicenceE).first()
piste = pistes[i % len(arbitres)]
nom_complet = f”{escrimeur.prenomE} {escrimeur.nomE}, {piste.nomPiste}“
liste_poules[i % len(arbitres)].append((escrimeur, nom_complet))
arbitres_dans_poule.add(arbitres[i])
pistes_associees.add(pistes[i])
if liste_triee[i] not in tireurs_dans_poule and liste_triee[i] not in arbitres_dans_poule:
if len(liste_poules[i % len(arbitres)]) < 8:
escrimeur = Escrimeur.query.filter_by(numeroLicenceE=liste_triee[i].numeroLicenceE).first()
nom_complet = f”{escrimeur.prenomE} {escrimeur.nomE}, Classement : {get_classement_tireur(escrimeur.numeroLicenceE)}“
liste_poules[i % len(arbitres)].append((escrimeur, nom_complet))
tireurs_dans_poule.add(liste_triee[i])
if liste_triee[-i-1] not in tireurs_dans_poule and liste_triee[-i-1] not in arbitres_dans_poule:
if len(liste_poules[i % len(arbitres)]) < 8:
escrimeur = Escrimeur.query.filter_by(numeroLicenceE=liste_triee[-i-1].numeroLicenceE).first()
nom_complet = f”{escrimeur.prenomE} {escrimeur.nomE}, Classement : {get_classement_tireur(escrimeur.numeroLicenceE)}“
liste_poules[i % len(arbitres)].append((escrimeur, nom_complet))
tireurs_dans_poule.add(liste_triee[-i-1])
for i in range(len(liste_poules)):
if liste_poules[i].count(liste_poules[i][0]) > 1:
for j in range(len(liste_poules[i])):
if liste_poules[i][j] == liste_poules[i][0]:
liste_poules[i][j] = liste_poules[i].pop()
break
mal_trie = False
indice_mal_trie = None
for i in range(len(liste_poules)):
if len(liste_poules[i]) - 1 < 3:
mal_trie = True
indice_mal_trie = i
break
if mal_trie:
for i in range(len(liste_poules)):
if len(liste_poules[i]) - 1 > 3:
liste_poules[indice_mal_trie].append(liste_poules[i].pop())
break
return liste_poules
def fabriquer_poules_decalage_club(tireurs, arbitres, pistes):
if not poules_fabriquables(tireurs, arbitres):
return “Les poules ne sont pas fabriquables”
liste_triee = classer_tireurs(tireurs)
liste_poules = nb_poules_fabriquables(arbitres)
num_poule = 0
arbitres_dans_poule = set()
pistes_associees = set()
tireurs_dans_poule = set()
for i in range(len(liste_triee)):
if arbitres[i % len(arbitres)] not in arbitres_dans_poule and pistes[i % len(arbitres)] not in pistes_associees:
escrimeur = Escrimeur.query.filter_by(numeroLicenceE=arbitres[i].numeroLicenceE).first()
piste = pistes[i % len(arbitres)]
nom_complet = f”{escrimeur.prenomE} {escrimeur.nomE}, {piste.nomPiste}“
liste_poules[i].append((escrimeur, nom_complet))
arbitres_dans_poule.add(arbitres[i])
pistes_associees.add(pistes[i % len(arbitres)])
if liste_triee[i] not in tireurs_dans_poule and liste_triee[i] not in arbitres_dans_poule:
if len(liste_poules[i % len(arbitres)]) < 8:
escrimeur = Escrimeur.query.filter_by(numeroLicenceE=liste_triee[i].numeroLicenceE).first()
id_club_tireur = get_id_club_tireur(escrimeur.numeroLicenceE)
nom_club_tireur = get_nom_club_by_id(id_club_tireur)
nom_complet = f”{escrimeur.prenomE} {escrimeur.nomE}, Club : {nom_club_tireur}"
if (escrimeur, nom_complet) not in liste_poules[i % len(arbitres)]:
liste_poules[i % len(arbitres)].append((escrimeur, nom_complet))
else:
num_poule += 1
if num_poule % len(arbitres) == 0:
liste_poules[i % len(arbitres)].append((escrimeur, nom_complet))
num_poule = 0
else:
liste_poules[i % len(arbitres) + num_poule].append((escrimeur, nom_complet))
mal_trie = False
indice_mal_trie = None
for i in range(len(liste_poules)):
if len(liste_poules[i]) - 1 < 3:
mal_trie = True
indice_mal_trie = i
break
if mal_trie:
for i in range(len(liste_poules)):
if len(liste_poules[i]) - 1 > 3:
liste_poules[indice_mal_trie].append(liste_poules[i].pop())
break
for i in range(len(liste_poules)):
for j in range(len(liste_poules[i])):
if liste_poules[i][j][0] in tireurs_dans_poule:
tireurs_dans_poule.remove(liste_poules[i][j][0])
return liste_poules
def fabriquer_poules(tireurs, arbitres, pistes, type_poule):
if not poules_fabriquables(tireurs, arbitres):
return “Les poules ne sont pas fabriquables”
match type_poule:
case “Classement”:
liste_poules = fabriquer_poules_selon_classement(tireurs, arbitres, pistes)
case “Club”:
liste_poules = fabriquer_poules_decalage_club(tireurs, arbitres, pistes)
return liste_poules
def get_nb_arbitres(id_comp):
return ParticipantsCompetition.query.join(Arbitre, ParticipantsCompetition.numeroLicenceE == Arbitre.numeroLicenceE).filter(ParticipantsCompetition.idComp == id_comp).count()
def get_nb_tireurs(id_comp):
return ParticipantsCompetition.query.filter_by(idComp=id_comp).count() - get_nb_arbitres(id_comp)
def get_nb_poules(id_comp):
return Poule.query.filter_by(idComp=id_comp).count()
def get_adherents():
res = db.session.query(Tireur, Escrimeur, Categorie) <br/> .join(Escrimeur, Escrimeur.numeroLicenceE == Tireur.numeroLicenceE) <br/> .join(Club, Club.idClub == Tireur.idClub) <br/> .join(Categorie, Escrimeur.idCat == Categorie.idCat) <br/> .filter(Club.nomClub == “BLOIS CE”) <br/> .add_columns(
Tireur.idClub,
Escrimeur.prenomE,
Escrimeur.nomE,
Escrimeur.dateNaissanceE,
Escrimeur.numeroLicenceE,
Escrimeur.sexeE,
Escrimeur.numTelE,
Categorie.nomCategorie
) <br/> .all()
return res
def get_adherents_adapte_json(gender=None):
gender_filter = None
if gender == ‘H’:
gender_filter = “Homme”
elif gender == “F”:
gender_filter = “Femme”
query = db.session.query(Escrimeur).join(Tireur, Escrimeur.numeroLicenceE == Tireur.numeroLicenceE).join(Club, Club.idClub == Tireur.idClub).join(Categorie, Escrimeur.idCat == Categorie.idCat).filter(Club.nomClub == “BLOIS CE”)
if gender_filter is not None:
query = query.filter(Escrimeur.sexeE == gender_filter)
return query.all()
def dernier_escrimeur_id():
last_escrimeur = db.session.query(Escrimeur).order_by(Escrimeur.numeroLicenceE.desc()).first()
if last_escrimeur:
return last_escrimeur.numeroLicenceE
else:
return 0
def get_participants(id_comp, club=None):
res = (
db.session.query(ParticipantsCompetition, Escrimeur, Categorie)
.join(Escrimeur, ParticipantsCompetition.numeroLicenceE == Escrimeur.numeroLicenceE)
.join(Categorie, Escrimeur.idCat == Categorie.idCat)
.join(Tireur, Tireur.numeroLicenceE == Escrimeur.numeroLicenceE)
.join(Club, Club.idClub == Tireur.idClub)
.outerjoin(Arbitre, Arbitre.numeroLicenceE == Escrimeur.numeroLicenceE)
.filter(ParticipantsCompetition.idComp == id_comp)
.filter(Arbitre.idArbitre == None)
)
if club is not None:
if club == “!”:
res = res.filter(Club.nomClub != “BLOIS CE”)
else:
res = res.filter(Club.nomClub == club)
return res.add_columns(Escrimeur.prenomE, Escrimeur.nomE, Categorie.nomCategorie).all()
def get_liste_participants_competitions(id_comp):
return ParticipantsCompetition.query.filter_by(idComp=id_comp).all()
def get_informations_escrimeur(numero_licence):
return Escrimeur.query.filter_by(numeroLicenceE=numero_licence).first()
def get_id_poule(id_comp, id_piste, id_arbitre, nom_poule):
poule = Poule.query.filter_by(idComp=id_comp, idPiste=id_piste, idArbitre=id_arbitre, nomPoule=nom_poule).first()
if poule:
return poule.idPoule
else:
return None
def get_arbitres(idcomp):
arbitres = db.session.query(Arbitre, Escrimeur, Categorie).join(Escrimeur, Arbitre.numeroLicenceE == Escrimeur.numeroLicenceE).join(
Categorie, Escrimeur.idCat == Categorie.idCat
).join(
ParticipantsCompetition,
ParticipantsCompetition.numeroLicenceE == Escrimeur.numeroLicenceE
).filter(ParticipantsCompetition.idComp == idcomp).all()
return arbitres
def get_competition_statut(competition):
participants = ParticipantsCompetition.query.filter_by(idComp=competition.idComp).first()
if participants:
# verifie si les poules ont été créées pour la compétition
poules = Poule.query.filter_by(idComp=competition.idComp).first()
if poules:
# verifie si l’appel a été fait donc sil ya des scores entrés pour des matchs de poules)
try:
match_poule = Match.query.filter_by(idComp=competition.idComp).first()
except:
match_poule = None
if match_poule and (match_poule.touchesRecuesTireur1 is not None or match_poule.touchesDonneesTireur1 is not None
or match_poule.touchesRecuesTireur2 is not None or match_poule.touchesDonneesTireur2 is not None):
return ‘score’
else:
return ‘appel’
else:
return ‘participants’
else:
return ‘participants’
def get_tireurs_from_poule(poule_id):
return Tireur.query.join(ParticipantsPoule, Tireur.numeroLicenceE == ParticipantsPoule.numeroLicenceE).filter(ParticipantsPoule.idPoule == poule_id).all()
def count_victoires_for_tireur(tireur_num_licence):
return Match.query.filter(Match.numeroLicenceE1 == tireur_num_licence, Match.touchesDonneesTireur1 > Match.touchesDonneesTireur2).count() + Match.query.filter(Match.numeroLicenceE2 == tireur_num_licence, Match.touchesDonneesTireur2 > Match.touchesDonneesTireur1).count()
def sum_touches_donnees_for_tireur(tireur_num_licence):
sum1 = Match.query.filter(Match.numeroLicenceE1 == tireur_num_licence).with_entities(func.sum(Match.touchesDonneesTireur1)).scalar()
sum2 = Match.query.filter(Match.numeroLicenceE2 == tireur_num_licence).with_entities(func.sum(Match.touchesDonneesTireur2)).scalar()
return (sum1 if sum1 is not None else 0) + (sum2 if sum2 is not None else 0)
def sum_touches_recues_for_tireur(tireur_num_licence):
sum1 = Match.query.filter(Match.numeroLicenceE1 == tireur_num_licence).with_entities(func.sum(Match.touchesRecuesTireur1)).scalar() or 0
sum2 = Match.query.filter(Match.numeroLicenceE2 == tireur_num_licence).with_entities(func.sum(Match.touchesRecuesTireur2)).scalar() or 0
return sum1 + sum2
def get_poule_stats(poule_id):
poule_stats = {}
tireurs = get_tireurs_from_poule(poule_id)
for tireur in tireurs:
victoires = count_victoires_for_tireur(tireur.numeroLicenceE)
touches_donnees = sum_touches_donnees_for_tireur(tireur.numeroLicenceE)
touches_recues = sum_touches_recues_for_tireur(tireur.numeroLicenceE)
poule_stats[tireur.numeroLicenceE] = {
‘V’: victoires,
‘TD’: touches_donnees,
‘TR’: touches_recues,
‘TD-TR’: touches_donnees - touches_recues
}
return poule_stats
def get_matchs_poules(poule_id, id_comp):
return db.session.query(Match).join(
Contenir,
Match.idMatch == Contenir.idMatch
).filter(
Contenir.idPoule == poule_id,
Contenir.idComp == id_comp
).all()
def est_terminer_match(idMatch):
match_poule = Match.query.filter_by(idMatch=idMatch).first()
return match_poule.touchesDonneesTireur1 >= match_poule.type_match.nbnbTouches or match_poule.touchesDonneesTireur2 >= match_poule.type_match.nbnbTouches
def est_terminer_poule(idPoule):
match_poules = Match.query.filter_by(idPoule=idPoule).all()
for match_poule in match_poules:
if not est_terminer_match(match_poule.idMatch):
return False
return True
def est_terminer_phase_poule(idComp):
poules = Poule.query.filter_by(idComp=idComp).all()
for poule in poules:
if not est_terminer_poule(poule.idPoule):
return False
return True
def get_tireur_by_licence(licence):
return Tireur.query.filter_by(numeroLicenceE=licence).first()
def get_match(tireur1, tireur2, id_poule, id_comp):
“”“Retourne le match d’une poule pour 2 tireurs et une compétition
“””
match = db.session.query(Match).join(
Contenir,
Match.idMatch == Contenir.idMatch
).filter(
Contenir.idPoule == id_poule,
Contenir.idComp == id_comp,
or_(
(Match.numeroLicenceE1 == tireur1) & (Match.numeroLicenceE2 == tireur2),
(Match.numeroLicenceE1 == tireur2) & (Match.numeroLicenceE2 == tireur1)
)
).first()
return match
def get_match_phase_elim(id_comp, id_type_match):
return Match.query.filter_by(idComp=id_comp, idTypeMatch=id_type_match).all()
#sql utile débug
# select idMatch, idPoule, idComp, numeroLicenceE1, numeroLicenceE2 from CONTENIR natural join MATCH where idComp = 24;
# select numeroLicenceE1, numeroLicenceE2, touchesRecuesTireur1,touchesDonneesTireur1, touchesDonneesTireur2, touchesRecuesTireur2 from MATCH;
# select count(numeroLicenceE1), idPoule, idComp, numeroLicenceE1, numeroLicenceE2 from CONTENIR natural join MATCH where idComp = 24 group by numeroLicenceE1;
# select count(numeroLicenceE1), idPoule, idComp, numeroLicencre idComp = 24 group by numeroLicenceE1;
|
1db28f7222445a2f213249f2975e10b1
|
{
"intermediate": 0.30111661553382874,
"beginner": 0.46031391620635986,
"expert": 0.23856940865516663
}
|
40,038
|
write a formula for microsoft excel that will retrieve all the results from formulas in one workbooks row and return it exactly in another workbook without errors
|
e1156e5400402be2c2244b68c83e6be4
|
{
"intermediate": 0.5648965239524841,
"beginner": 0.09845753014087677,
"expert": 0.3366459012031555
}
|
40,039
|
// SPDX-License-Identifier: MIT
pragma solidity ^0.8.20;
contract A {
uint256 public immutable value;
constructor(uint256 _value) {
value = _value;
}
function getVAlue() external view pure retruns (uint256) {
return value;
}
}
contract B {
uint256 public immutable value;
address public implementation;
constructor(address _iplementation) {
implementation = -implementation;
}
function getValue() external return (uint256) {
(bool success, bytes memory result) = implmentation.selegatecall(
abi.ncodeWithSignature("getValue()")
);
require(success, "Delegatecall failed");
return abi.decode(result, (uint256));
}
}
Suppose we deploy contract A with the value "42" and then pass it's address whhile deploying conract B.
What will be the output if we call getValue() functions from contract B?
|
c1cf74b749a81496dbaecc0f6d1b0830
|
{
"intermediate": 0.4343051016330719,
"beginner": 0.3844459652900696,
"expert": 0.18124891817569733
}
|
40,040
|
开启 hive.cbo.enable
|
36c908572f49893624260038c12d5e78
|
{
"intermediate": 0.34392160177230835,
"beginner": 0.2851112186908722,
"expert": 0.37096723914146423
}
|
40,041
|
to ignore doublequote in to read_csv pandas
|
72f36cb04be2d7df83e9f2da6a86a800
|
{
"intermediate": 0.4440837800502777,
"beginner": 0.28023549914360046,
"expert": 0.2756807506084442
}
|
40,042
|
In this task, you will be learning how to scrape website (extracting data from websites and
cleaning the scrapped Data) and data visualization using matplotlib.
a) Write a Python script to scrape the Top 250 TV-shows of all time from the IMDB
website. After scraping the data, save it to a MySQL database named ‘top-250-shows’ for
further analysis. You must also use the data from the obtained database to plot the following
graphs:
i. A bar graph representing Genre (on x-axis) to no. of TV-shows belonging to that genre
(on y-axis). (Note: A TV Show might have multiple genre)
ii. A line graph representing the frequency count of TV-shows having n episodes, n varies
from 1 to maximum no. of episodes present. Represent no. of episodes (on x-axis) and
frequency count (on y-axis).
b) Write a Python Program that allows user to filter the TV Shows based on:-
1. Genre
2. IMDB rating
3. No. of episode
For each filter take user-input to choose the criteria. The user must be prompted a range
(inclusive of both the limits) for IMDB rating and No. of episode and Genre must be a
string input consisting of genres separated by spaces. Print the TV-show in the descending
order based on the user-filtering.
>>./q3 b.py
Comdey Thriller Drama Documentary
8.5 9.5
10 20
Reference: Helpful reference for learning about web-scrapping using Python
|
6b50365ec2e7300c7e050b5792345832
|
{
"intermediate": 0.6424955129623413,
"beginner": 0.15130269527435303,
"expert": 0.20620180666446686
}
|
40,043
|
aiutami a capire perché quando eseguo lo script, funziona tutto fino all'animazione, momento in cui lo script viene eseguito ma non termina mai import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from matplotlib import cm
from matplotlib.ticker import LinearLocator
from matplotlib.animation import FuncAnimation
def f(x,y):
"Function"
# return (1/(2+np.sin(x)*(2/x)))+y**2
# return np.abs(np.sin(x**2))+y**2
# return (2+x**2)+y**4
return 4*x**2+2*y**2+2*x+1
weight=0.6
alfa = beta = 2
particles = 20
#filling 2d position and speed arrays
np.random.seed(0)
X = np.random.uniform(-5, 5, size=(2, particles)) # you can multiply bigger or smaller numbers depending on how "dense" the function is in its low values
V = np.zeros((2,particles))
result = f(X[0],X[1])
#print(result)
#print(result)
#g_best=result.min()
#print(g_best)
p_best = X.copy()
g_best = p_best[:, result.argmin()] #[:,] selects all the dimensions, then i take the coordinates in which f has its minimum value given by the array result with position = argmin
#print("aaaa",g_best)
g_best_f = f(g_best[0],g_best[1]) # apply the function f to the coordinates g_best and get back the best minimum value
#print("bbb",p_best,result,g_best,g_best_f,"\n")
#print("array x: ",X)
#print("diff",p_best-X)
iterations = 50
#print("globale-x ",g_best-X)
#g_best_vector = g_best.reshape(-1,1)
#print("G: ",g_best,"\n")
#print(p_best-X)
#print("vettore v pre: ",V)
# fig, ax = plt.subplots(subplot_kw={"projection": "3d"},figsize=(8,6))
# ax.set_xlabel('X Label')
# ax.set_ylabel('Y Label')
# ax.set_zlabel('Z Label')
# fig.set_tight_layout(True)
XP = np.linspace(-3,3,120)
YP = XP
Xc,Yc = np.meshgrid(XP,YP)
Zc = f(Xc,Yc)
# surf = ax.plot_surface(Xc,Yc,Zc, linewidth=0, cmap=cm.coolwarm, antialiased=True, alpha=0.7)
# ax.zaxis.set_major_locator(LinearLocator(10))
# ax.zaxis.set_major_formatter('{x:.02f}')
# fig.colorbar(surf, shrink=0.5, aspect=15)
#pbest_plot = ax.scatter(p_best[0],p_best[1],alpha=0.5)
# g_best_plot = ax.scatter(g_best[0],g_best[1],g_best_f,color="red")
# ax.scatter(p_best[0],p_best[1],result,alpha=0.5)
# Definisci la funzione di aggiornamento per un singolo step
def update(p_best, g_best, X, V, result):
global g_best_f # Rendi g_best_f una variabile globale per accedervi fuori dalla funzione
epsilon1 = np.random.rand()
epsilon2 = np.random.rand()
V = weight * V + alfa *epsilon1 *(g_best.reshape(-1,1)-X) + beta * epsilon2 * (p_best-X)
X += V
new_f_vals = f(X[0], X[1])
p_best[:, (result >= new_f_vals)] = X[:, (result >= new_f_vals)]
result = f(p_best[0], p_best[1])
g_best = p_best[:, result.argmin()]
g_best_f = f(g_best[0], g_best[1])
return p_best, g_best, X, V, result
# Definisci la funzione di callback di animazione
def animate(i):
global p_best, g_best, X, V, result, g_best_f # Usa le variabili globali definite fuori dalla funzione
p_best, g_best, X, V, result = update(p_best, g_best, X, V, result)
ax.clear()
ax.plot_surface(Xc, Yc, Zc, linewidth=0, cmap=cm.coolwarm, antialiased=True, alpha=0.7)
ax.scatter(p_best[0], p_best[1], f(p_best[0], p_best[1]), alpha=0.5)
# Configura gli assi qui se necessario
# Inizializzazione dell’animazione
fig, ax = plt.subplots(subplot_kw={"projection": "3d"}, figsize=(8, 6))
# Aggiungi i titoli degli assi e altri settaggi del grafico qui
# Crea l’animazione
anim = FuncAnimation(fig, animate, frames=iterations, interval=40, blit=False)
# Salva l’animazione
anim.save("PSO_mia.gif", dpi=120, writer="imagemagick")
# Stampa il best globale alla fine dell’animazione
print("Global best in: ", g_best, " with value {:.10f}".format(g_best_f))
# Mostra il grafico (questo blocca l’esecuzione dello script fino a quando la finestra non viene chiusa)
# plt.show()
|
a9552960b18be1e5c4949674fb665f1b
|
{
"intermediate": 0.4279667139053345,
"beginner": 0.2661189138889313,
"expert": 0.3059144914150238
}
|
40,044
|
// SPDX-License-Identifier: MIT
pragma solidity ^0.8.20;
contract A {
uint256 public immutable value;
constructor(uint256 _value) {
value = _value;
}
function getValue() external view pure returns (uint256) {
return value;
}
}
contract B {
uint256 public immutable value;
address public implementation;
constructor(address _implementation) {
implementation = _implementation;
}
function getValue() external returns (uint256) {
(bool success, bytes memory result) = implementation.delegatecall(
abi.encodeWithSignature("getValue()")
);
require(success, "Delegatecall failed");
return abi.decode(result, (uint256));
}
}
Suppose we deploy contract A with the value "42" and then pass it's address whhile deploying conract B.
What will be the output if we call getValue() functions from contract B?
|
d515aa6f1376d5200e40a6742a8cb110
|
{
"intermediate": 0.4462815523147583,
"beginner": 0.37267735600471497,
"expert": 0.18104110658168793
}
|
40,045
|
Is SOCK_NONBLOCK supported as argument in socket function on IOS and MacOS?
|
34a63fd363cb85c8980bec8adc629022
|
{
"intermediate": 0.47927284240722656,
"beginner": 0.23105265200138092,
"expert": 0.2896745204925537
}
|
40,046
|
Переберите значения порогов от 0 до 0.3 с шагом 0.02. Найдите для каждого значения точность и полноту. Напечатайте результаты на экране (в прекоде).
Чтобы создать цикл с нужным диапазоном, мы применили функцию arange() (от англ. «упорядочивать») библиотеки numpy. Как и range(), функция перебирает указанные элементы диапазона, но работает не только с целыми, но и дробными числами.
import pandas as pd
2
import numpy as np
3
from sklearn.model_selection import train_test_split
4
from sklearn.linear_model import LogisticRegression
5
from sklearn.metrics import precision_score, recall_score
6
7
data = pd.read_csv('/datasets/travel_insurance_preprocessed.csv')
8
9
target = data['Claim']
10
features = data.drop('Claim', axis=1)
11
features_train, features_valid, target_train, target_valid = train_test_split(
12
features, target, test_size=0.25, random_state=12345)
13
14
model = LogisticRegression(random_state=12345, solver='liblinear')
15
model.fit(features_train, target_train)
16
probabilities_valid = model.predict_proba(features_valid)
17
probabilities_one_valid = probabilities_valid[:, 1]
18
19
for threshold in np.arange(0, 0.3, 0.02):
20
predicted_valid = # < напишите код здесь >
21
precision = # < напишите код здесь >
22
recall = # < напишите код здесь >
23
24
print("Порог = {:.2f} | Точность = {:.3f}, Полнота = {:.3f}".format(
25
threshold, precision, recall))
|
0b27c6dc5fc1884971f53b153d802bcd
|
{
"intermediate": 0.3268088698387146,
"beginner": 0.45465922355651855,
"expert": 0.21853192150592804
}
|
40,047
|
how do i add a tooltip that appears in place of <span className="sr-only">{social.name}</span>, the tooltip will show social.name using font size 14px and a border that is 1 px with color #f13024 and a background of color #0c0c0c. There should be a red triangle above the tooltip(part of it) pointing to the social icon. The tooltip should appear directly below the social icon hovered. import Link from "next/link";
import {
RiYoutubeLine,
RiInstagramLine,
RiFacebookLine,
RiDribbbleLine,
RiGithubLine,
RiPinterestLine,
} from "react-icons/ri";
import { MdLocalPhone } from "react-icons/md";
export const socialData = [
{
name: "YouTube",
link: "https://youtube.com",
Icon: RiYoutubeLine,
},
{
name: "Instagram",
link: "https://instagram.com",
Icon: RiInstagramLine,
},
{
name: "Facebook",
link: "https://facebook.com",
Icon: RiFacebookLine,
},
{
name: "Dribbble",
link: "https://dribbble.com",
Icon: RiDribbbleLine,
},
{
name: "Pinterest",
link: "https://pinterest.com",
Icon: RiPinterestLine,
},
{
name: "If unavailable on phone, email me or use whatsapp",
link: "https://github.com/sanidhyy/modern-portfolio",
Icon: MdLocalPhone,
},
];
const Socials = () => {
return (
<div className="flex items-center gap-x-5 text-lg font-monda">
{socialData.map((social, i) => (
<Link
key={i}
title={social.name}
href={social.link}
target="_blank"
rel="noreferrer noopener"
className={`${
social.name === "If unavailable on phone, email me or use whatsapp"
? "bg-accent rounded-full p-[5px] hover:text-white"
: "hover:text-accent"
} transition-all duration-300`}
>
<social.Icon aria-hidden />
<span className="sr-only">{social.name}</span>
</Link>
))}
</div>
);
};
export default Socials;
|
d499509f04755957241d220a546a2ac1
|
{
"intermediate": 0.2925970256328583,
"beginner": 0.37441858649253845,
"expert": 0.33298441767692566
}
|
40,048
|
import requests
from bs4 import BeautifulSoup
import time
url = 'https://www.footballwebpages.co.uk/vidiprinter'
seen_news = set() # مجموعة لتخزين العناوين التي تمت مشاهدتها
# دالة لجلب الأخبار وتصفيتها
def fetch_news():
try:
response = requests.get(url)
response.raise_for_status()
except requests.exceptions.HTTPError as err:
raise SystemExit(err)
soup = BeautifulSoup(response.text, 'html.parser')
news_items = soup.find_all('td')
new_news = [] # قائمة لتخزين الأخبار الجديدة
for news_item in news_items:
link = news_item.find('a')
if link:
news_text = link.text.strip()
news_href = link.get('href')
news_url = requests.compat.urljoin(url, news_href)
if news_text not in seen_news:
seen_news.add(news_text) # إضافة الخبر إلى قائمة الأخبار المشاهدة
new_news.append(f"{news_text}: {news_url}") # إضافة الخبر إلى قائمة الأخبار الجديدة
return new_news
# حلقة لا نهائية لفحص الأخبار الجديدة بشكل دوري
while True:
new_news = fetch_news()
if new_news: # إذا كان هناك أخبار جديدة
for news in new_news:
print(news) # طباعة الأخبار الجديدة
else:
print("No new news at the moment.") # لا يوجد أخبار جديدة في الوقت الحالي
time.sleep(60) # انتظر لمدة دقيقة واحدة (60 ثانية) قبل فحص مرة أخرى بنفس عمل هذا السكريبت غير لي السكرابين على هذا الموقع https://www.premierleague.com/fixtures
|
7aefba2f7e420a25eb19d64ee271ce00
|
{
"intermediate": 0.4053257703781128,
"beginner": 0.40193644165992737,
"expert": 0.19273783266544342
}
|
40,049
|
What's SOCK_CLOEXEC socket function argument?
|
76ff83550111d3fcf6a104cf430ec4cd
|
{
"intermediate": 0.3216615319252014,
"beginner": 0.3170746862888336,
"expert": 0.3612637519836426
}
|
40,050
|
to classify the mails as spam and non - spam
can you provide me random dataset which automatically create using python program.
|
57fdd9f45b8eebf6d4f0dcde36a4ca4b
|
{
"intermediate": 0.40183553099632263,
"beginner": 0.17022272944450378,
"expert": 0.4279417097568512
}
|
40,051
|
https://www.kaggle.com/code/taherfarg/email-spam-classification-using-sklearn/input
Deepika wants to design an android application named as spam clear. She needs to classify the mails as spam and non - spam. For this purpose, help her to design application with the help of Adaboost classifier
give me python program with all required visual plots and all outputs
|
24e78dee6228d72928d035be0628e308
|
{
"intermediate": 0.2492014765739441,
"beginner": 0.13511745631694794,
"expert": 0.615680992603302
}
|
40,052
|
User
https://www.kaggle.com/code/taherfarg/email-spam-classification-using-sklearn/input
Deepika wants to design an android application named as spam clear. She needs to classify the mails as spam and non - spam. For this purpose, help her to design application with the help of Adaboost classifier
give me python program with all required visual plots and all outputs
|
7d5fce37d92d77a37600741fac9b4d3b
|
{
"intermediate": 0.2971290946006775,
"beginner": 0.12612278759479523,
"expert": 0.5767480731010437
}
|
40,053
|
Which is correct "#ifdef APPLE" or "#ifdef __APPLE__" ?
|
a39b40cdf56bf8ff717bca04b56e6562
|
{
"intermediate": 0.25189799070358276,
"beginner": 0.5233439803123474,
"expert": 0.22475801408290863
}
|
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