diff --git a/agent_api_endpoints.json b/agent_api_endpoints.json deleted file mode 100644 index 5432be4d8..000000000 --- a/agent_api_endpoints.json +++ /dev/null @@ -1,79 +0,0 @@ -{ - "gpt-4o": { - "model_name": "gpt-4o-2024-08-06", - "api_type": "openai", - "api_base": "https://api.openai.com/v1", - "api_key": "OPENAI_API_KEY", - "anony_only": false, - "recommended_config": { - "temperature": 0.7, - "top_p": 1.0 - }, - "text-arena": true, - "vision-arena": false, - "agent-mode": false - }, - "gpt-4o-agent": { - "model_name": "gpt-4o-2024-08-06", - "api_type": "openai", - "api_base": "https://api.openai.com/v1", - "api_key": "OPENAI_API_KEY", - "anony_only": false, - "recommended_config": { - "temperature": 0.7, - "top_p": 1.0 - }, - "text-arena": true, - "vision-arena": false, - "agent-mode": true, - "custom_system_prompt": true, - "tool_config_file": "tools.json" - }, - "gpt-4o-mini-agent": { - "model_name": "gpt-4o-mini-2024-07-18", - "api_type": "openai", - "api_base": "https://api.openai.com/v1", - "api_key": "OPENAI_API_KEY", - "anony_only": false, - "recommended_config": { - "temperature": 0.7, - "top_p": 1.0 - }, - "text-arena": true, - "vision-arena": false, - "agent-mode": true, - "custom_system_prompt": true, - "tool_config_file": "tools.json" - }, - "llama-agent": { - "model_name": "llama3.1-405b", - "api_type": "openai", - "api_base": "https://api.llama-api.com", - "api_key": "LLAMA_API_KEY", - "anony_only": false, - "recommended_config": { - "temperature": 0.7, - "top_p": 1.0 - }, - "text-arena": true, - "vision-arena": false, - "agent-mode": true, - "custom_system_prompt": true, - "tool_config_file": "tools.json" - }, - "qwen-agent": { - "model_name": "Qwen2-72B-Instruct", - "api_type": "openai", - "api_base": "https://api.llama-api.com", - "api_key": "LLAMA_API_KEY", - "anony_only": false, - "recommended_config": { - "temperature": 0.7, - "top_p": 1.0 - }, - "text-arena": true, - "vision-arena": false, - "agent-mode": true, - "tool_config_file": "tools.json" - } -} \ No newline at end of file diff --git a/evaluation/compare_agents.ipynb b/evaluation/archive/compare_agents.ipynb similarity index 100% rename from evaluation/compare_agents.ipynb rename to evaluation/archive/compare_agents.ipynb diff --git a/evaluation/evaluation.ipynb b/evaluation/archive/evaluation_old.ipynb similarity index 100% rename from evaluation/evaluation.ipynb rename to evaluation/archive/evaluation_old.ipynb diff --git a/evaluation/report.md b/evaluation/archive/report.md similarity index 84% rename from evaluation/report.md rename to evaluation/archive/report.md index 3cd56751a..0d73a2e68 100644 --- a/evaluation/report.md +++ b/evaluation/archive/report.md @@ -10,6 +10,6 @@ Runtimes: GPT-4o (5 sec/prompt), GPT-4o-agent (13 sec/prompt) Results: results/arena_search_helpful.txt ## Search not helpful -Runtimes: GPT-4o (40 sec/prompt), GPT-4o-agent (47 sec/prompt) +Runtimes: GPT-4o (4.0 sec/prompt), GPT-4o-agent (4.7 sec/prompt) Results: results/arena_search_not_helpful.txt diff --git a/evaluation/results/arena_eval_search_helpful.json b/evaluation/archive/results/arena_eval_search_helpful.json similarity index 100% rename from evaluation/results/arena_eval_search_helpful.json rename to evaluation/archive/results/arena_eval_search_helpful.json diff --git a/evaluation/results/arena_eval_search_not_helpful.json b/evaluation/archive/results/arena_eval_search_not_helpful.json similarity index 100% rename from evaluation/results/arena_eval_search_not_helpful.json rename to evaluation/archive/results/arena_eval_search_not_helpful.json diff --git a/evaluation/results/arena_search_helpful.txt b/evaluation/archive/results/arena_search_helpful.txt similarity index 100% rename from evaluation/results/arena_search_helpful.txt rename to evaluation/archive/results/arena_search_helpful.txt diff --git a/evaluation/results/arena_search_not_helpful.txt b/evaluation/archive/results/arena_search_not_helpful.txt similarity index 100% rename from evaluation/results/arena_search_not_helpful.txt rename to evaluation/archive/results/arena_search_not_helpful.txt diff --git a/evaluation/results/simpleQA_gpt4_agent_better.txt b/evaluation/archive/results/simpleQA_gpt4_agent_better.txt similarity index 100% rename from evaluation/results/simpleQA_gpt4_agent_better.txt rename to evaluation/archive/results/simpleQA_gpt4_agent_better.txt diff --git a/evaluation/results/simpleQA_gpt4_agent_worse.txt b/evaluation/archive/results/simpleQA_gpt4_agent_worse.txt similarity index 100% rename from evaluation/results/simpleQA_gpt4_agent_worse.txt rename to evaluation/archive/results/simpleQA_gpt4_agent_worse.txt diff --git a/evaluation/results/simpleqa_eval.json b/evaluation/archive/results/simpleqa_eval.json similarity index 100% rename from evaluation/results/simpleqa_eval.json rename to evaluation/archive/results/simpleqa_eval.json diff --git a/evaluation/samples/eval_dataset.json b/evaluation/archive/samples/eval_dataset.json similarity index 100% rename from evaluation/samples/eval_dataset.json rename to evaluation/archive/samples/eval_dataset.json diff --git a/evaluation/samples/search_helpful_prompts.json b/evaluation/archive/samples/search_helpful_prompts.json similarity index 100% rename from evaluation/samples/search_helpful_prompts.json rename to evaluation/archive/samples/search_helpful_prompts.json diff --git a/evaluation/samples/search_not_helpful_prompts.json b/evaluation/archive/samples/search_not_helpful_prompts.json similarity index 100% rename from evaluation/samples/search_not_helpful_prompts.json rename to evaluation/archive/samples/search_not_helpful_prompts.json diff --git a/evaluation/data/arena_hard_prompts.jsonl b/evaluation/data/arena_hard_prompts.jsonl new file mode 100644 index 000000000..597d9bcbb --- /dev/null +++ b/evaluation/data/arena_hard_prompts.jsonl @@ -0,0 +1,500 @@ +{"question_id":"328c149ed45a41c0b9d6f14659e63599","category":"arena-hard-v0.1","cluster":"ABC Sequence Puzzles & Groups","turns":[{"content":"Use ABC notation to write a melody in the style of a folk tune."}]} +{"question_id":"b43c07656ead4150b360294ee932b410","category":"arena-hard-v0.1","cluster":"ABC Sequence Puzzles & Groups","turns":[{"content":"SOLVE THIS IN C++ : There are three cards with letters a\n, b\n, c\n placed in a row in some order. You can do the following operation at most once:\n\nPick two cards, and swap them.\nIs it possible that the row becomes abc\n after the operation? Output \"YES\" if it is possible, and \"NO\" otherwise.\nInput\nThe first line contains a single integer t\n (1\u2264t\u22646\n) \u2014 the number of test cases.\n\nThe only line of each test case contains a single string consisting of each of the three characters a\n, b\n, and c\n exactly once, representing the cards.\n\nOutput\nFor each test case, output \"YES\" if you can make the row abc\n with at most one operation, or \"NO\" otherwise.\n\nYou can output the answer in any case (for example, the strings \"yEs\", \"yes\", \"Yes\" and \"YES\" will be recognized as a positive answer).\n\nExample\ninputCopy\n6\nabc\nacb\nbac\nbca\ncab\ncba\noutputCopy\nYES\nYES\nYES\nNO\nNO\nYES\nNote\nIn the first test case, we don't need to do any operations, since the row is already abc\n.\n\nIn the second test case, we can swap c\n and b\n: acb\u2192abc\n.\n\nIn the third test case, we can swap b\n and a\n: bac\u2192abc\n.\n\nIn the fourth test case, it is impossible to make abc\n using at most one operation."}]} +{"question_id":"1f07cf6d146d4038b2b93aaba3935ce0","category":"arena-hard-v0.1","cluster":"AI & Sequence Alignment Challenges","turns":[{"content":"Explain the book the Alignment problem by Brian Christian. Provide a synopsis of themes and analysis. Recommend a bibliography of related reading. "}]} +{"question_id":"9f25ff7c0d6a4d74846bfe76af8d925c","category":"arena-hard-v0.1","cluster":"AI & Sequence Alignment Challenges","turns":[{"content":"Design a semikinematic mounting for a right angle prism with preload provided by a compressed elastomeric pad. The mounting should be designed to ensure proper alignment of the prism with its mounting surface and provide adequate tension to maintain proper load transfer."}]} +{"question_id":"04ba0aeb79524f6c8520d47cada34f25","category":"arena-hard-v0.1","cluster":"AI Image Upscaling","turns":[{"content":"I have a dataset which contains a list of 2D images, given a new image, how to find the closest image in the dataset"}]} +{"question_id":"93c9b4bb32f4422f954c7af9ea2bdfcd","category":"arena-hard-v0.1","cluster":"AI Image Upscaling","turns":[{"content":"I have black and white images with 1 pixel width white horizonal lines going through the image. How to detect the lines and remove it?"}]} +{"question_id":"ed3077a3443a4cf88233f5bc636e7394","category":"arena-hard-v0.1","cluster":"AI Startup Business Strategies","turns":[{"content":"if you were a corporate law with 15 years of mergers and acquisitions experience, how would you pivot to launch an AI enable tech startup step by step and in detail?\n"}]} +{"question_id":"90b29911b57848ec89fc7d8c15f27c88","category":"arena-hard-v0.1","cluster":"AI Startup Business Strategies","turns":[{"content":"Describe how to incorporate AI in the private equity deal sourcing process"}]} +{"question_id":"f54e99e9686549e7a096dd16dbab28e1","category":"arena-hard-v0.1","cluster":"AWS Cloud Services Essentials","turns":[{"content":"how does memory affect performance of aws lambda written in nodejs"}]} +{"question_id":"7bcf40b22c164f36a85efcbf169da647","category":"arena-hard-v0.1","cluster":"AWS Cloud Services Essentials","turns":[{"content":"I have a Python script that scrapes a webpage using Playwright. Now I want to start ten instances of that script in parallel on one AWS EC2 instance, but so that each script binds to a different IP address. How can I do that with Terraform?"}]} +{"question_id":"847e0891929a4521aee127ee20b50e30","category":"arena-hard-v0.1","cluster":"Acrobat PDF Management Tips","turns":[{"content":"How to add toolbar in a fragment?"}]} +{"question_id":"b26d8c58eaa04b1f8e7e88da9ddd4ed9","category":"arena-hard-v0.1","cluster":"Acrobat PDF Management Tips","turns":[{"content":"Hi. I have this URL which I can paste in my Microsoft Edge browser, and it downloads a PDF file for me from my Power BI online report. URL is: https:\/\/app.powerbi.com\/groups\/me\/rdlreports\/1bdef01c-30a3-4150-aff2-b3ec4c9edf86?rp:AdviceDeathScriptMERGEDMonthStartDate=6\/1\/2023&rp:AdviceDeathScriptMERGEDIncomingcall=Aria%20Park&rdl:format=PDF\n\nOf course, it first asks me to log in to my Power BI account when I first enter the URL, and then it goes directly to the report and downloads the PDF. I wrote a python code to do this for me. The code has managed to download a PDF. However, the PDF produced by the python code won't open - it gives an error when I try to open it \"Adobe acrobat reader could not open 'AriaPark.pdf'...\". I am unsure what the issue is. Perhaps, the issue is that Python code doesn't know my Power-BI login details to access the PDF, or maybe it is something else? Can you please help? The Python code I'm using is below:\n\nimport requests\nimport os\n# Main Power BI report URL\nfull_url = \"https:\/\/app.powerbi.com\/groups\/me\/rdlreports\/1bdef01c-30a3-4150-aff2-b3ec4c9edf86?rp:AdviceDeathScriptMERGEDMonthStartDate=6\/1\/2023&rp:AdviceDeathScriptMERGEDIncomingcall=Aria%20Park&rdl:format=PDF\"\n\nresponse = requests.get(full_url)\nfilename = f\"AriaPark.pdf\"\nwith open(filename, 'wb') as file:\n file.write(response.content)\n\nprint(\"Reports have been successfully downloaded.\")\n\n\n"}]} +{"question_id":"379a490a6eae40608abf3501807b2545","category":"arena-hard-v0.1","cluster":"Advanced Algebra and Number Theory","turns":[{"content":" Consider the state:\n$$\\ket{\\psi} = \\frac{\\ket{00} + \\ket{01} + \\ket{10}}{\\sqrt{3}}$$\n\n(a). Calculate the reduced density matrix of the second qubit of $\\ket{\\psi}$."}]} +{"question_id":"92abeb14dc734237a9ff52c4062b9b98","category":"arena-hard-v0.1","cluster":"Advanced Algebra and Number Theory","turns":[{"content":"Proof that Q(sqrt(-11)) is a principal ideal domain"}]} +{"question_id":"3f85bf93f18343dbb17e228a214a3800","category":"arena-hard-v0.1","cluster":"Advanced Guitar Chord Theory","turns":[{"content":"Write me a chord progression in the key of C major. Make it sound sad and slow."}]} +{"question_id":"51c444da19ec4cf1a5fc387667e4a7cf","category":"arena-hard-v0.1","cluster":"Advanced Guitar Chord Theory","turns":[{"content":"Can you come up with a 12 bar chord progression in C that works in the lydian mode?\n"}]} +{"question_id":"e9a2e1240f4a46b6a832bb5d71b20ee1","category":"arena-hard-v0.1","cluster":"Advanced Mathematical Problem-Solving","turns":[{"content":"Alice and Bob have two dice. \n\nThey roll the dice together, note the sum of the two values shown, and repeat.\n\nFor Alice to win, two consecutive turns (meaning, two consecutive sums) need to result in 7. For Bob to win, he needs to see an eight followed by a seven. Who do we expect to win this game?\n\nYou are required to provide an analysis which coincides with simulation results. You can supply multiple answers in successive iterations. You are allowed to run a simulation after 2 iterations. After each analysis, provide a reflection on the accuracy and completeness so we might improve in another iteration. If so, end a reply with \"CONTINUE TO ITERATION [x]\" and wait for my input. When there is no more accuracy or completeness issue left to resolve and the mathematical analysis agrees with the simulation results, please end by typing \"SOLVED\". Always end with either \"CONTINUE TO ITERATION [x]\" or \"SOLVED\"."}]} +{"question_id":"6b31320632de4e0bbf9b63d3cc78c58e","category":"arena-hard-v0.1","cluster":"Advanced Mathematical Problem-Solving","turns":[{"content":"A table-tennis championship for $2^n$ players is organized as a knock-out tournament with $n$ rounds, the last round being the final. Two players are chosen at random. Calculate the probability that they meet: (a) in the first round, (b) in the final, (c) in any round."}]} +{"question_id":"46e73778f43143199f88b2e354df85eb","category":"arena-hard-v0.1","cluster":"Advanced Matplotlib Customizations","turns":[{"content":"How can I generate a seaborn barplot that includes the values of the bar heights and confidence intervals?"}]} +{"question_id":"69120423cec04acca9f2b8d5f68b391c","category":"arena-hard-v0.1","cluster":"Advanced Matplotlib Customizations","turns":[{"content":"Can you give me some Seaborn code for plotting the ECDF of a KDE-augmented dataset?"}]} +{"question_id":"ed426d6069064ad9bf21e83bcb29f356","category":"arena-hard-v0.1","cluster":"Advanced Random Number Techniques","turns":[{"content":"Write a function to generate cryptographically secure random numbers. "}]} +{"question_id":"9d7d8b61b76f4695a5590a9f6bfc0017","category":"arena-hard-v0.1","cluster":"Advanced Random Number Techniques","turns":[{"content":"How to set seeds for random generator in Python in threads?"}]} +{"question_id":"2089a27fe9e2495d97a0cf27619d11a3","category":"arena-hard-v0.1","cluster":"Advanced Regex Techniques","turns":[{"content":"Regex to delect all elements containing a string `transform=\"matrix(0.998638,0,0,-0.998638,0.39215,439.799858)\"` please. there can be line breaks too."}]} +{"question_id":"fae4f754f12f40db8178d3683eb1eddc","category":"arena-hard-v0.1","cluster":"Advanced Regex Techniques","turns":[{"content":"write pcre regex for not containing C:\\"}]} +{"question_id":"9db47b0594014729b777c10678597e7f","category":"arena-hard-v0.1","cluster":"Advanced TypeScript Concepts","turns":[{"content":"make me a javascript code to find an object by its name deep inside a given object, make sure that this code does not use recursion and can return the path used to reach the object"}]} +{"question_id":"31615ee9cc8448cd9d225bdb87a5ffdc","category":"arena-hard-v0.1","cluster":"Advanced TypeScript Concepts","turns":[{"content":"If I have a TypeScript class:\n\nclass Foo {\n ReactProperties: {\n a: string;\n }\n}\n\nHow do I extract the type of the ReactProperties member object from the type Class?"}]} +{"question_id":"51139d7be0fe4a07bc2d577614ac4487","category":"arena-hard-v0.1","cluster":"Agile Scrum Leadership","turns":[{"content":"Considering Tools For Thought and the organization of personal knowledge, please list some best practice frameworks that detail a system of procedures and best practice. Please make a comprehensive list of frameworks and summarize the top three in more detail. "}]} +{"question_id":"5c5cb72f4d7b43caa476359c57e898de","category":"arena-hard-v0.1","cluster":"Agile Scrum Leadership","turns":[{"content":"Introduce Ethan, including his experience-level with software development methodologies like waterfall and agile development. Describe the major differences between traditional waterfall and agile software developments. In his opinion, what are the most notable advantages and disadvantages of each methodology?"}]} +{"question_id":"face6a5531854b188dfc266e289ee595","category":"arena-hard-v0.1","cluster":"Algorithms and Problem Solving","turns":[{"content":"Problem\nA mother bought a set of \n\ufffd\nN toys for her \n2\n2 kids, Alice and Bob. She has already decided which toy goes to whom, however she has forgotten the monetary values of the toys. She only remembers that she ordered the toys in ascending order of their value. The prices are always non-negative.\n\nA distribution is said to be fair when no matter what the actual values were, the difference between the values of the toys Alice got, and the toys Bob got, does not exceed the maximum value of any toy.\n\nFormally, let \n\ufffd\n\ufffd\nv \ni\n\u200b\n be the value of \n\ufffd\ni-th toy, and \n\ufffd\nS be a binary string such that \n\ufffd\n\ufffd\n=\n1\nS \ni\n\u200b\n =1 if the toy is to be given to Alice, and \n\ufffd\n\ufffd\n=\n0\nS \ni\n\u200b\n =0 if the toy is to be given to Bob.\nThen, the distribution represented by \n\ufffd\nS is said to be fair if, for all possible arrays \n\ufffd\nv satisfying \n0\n\u2264\n\ufffd\n1\n\u2264\n\ufffd\n2\n\u2264\n.\n.\n.\n.\n\u2264\n\ufffd\n\ufffd\n0\u2264v \n1\n\u200b\n \u2264v \n2\n\u200b\n \u2264....\u2264v \nN\n\u200b\n ,\n\n\u2223\n\u2211\n\ufffd\n=\n1\n\ufffd\n\ufffd\n\ufffd\n\u22c5\n[\n\ufffd\n\ufffd\n=\n1\n]\n\u2212\n\u2211\n\ufffd\n=\n1\n\ufffd\n\ufffd\n\ufffd\n\u22c5\n[\n\ufffd\n\ufffd\n=\n0\n]\n\u2223\n\u2264\n\ufffd\n\ufffd\n\u2223\n\u2223\n\u200b\n \ni=1\n\u2211\nN\n\u200b\n v \ni\n\u200b\n \u22c5[s \ni\n\u200b\n =1]\u2212 \ni=1\n\u2211\nN\n\u200b\n v \ni\n\u200b\n \u22c5[s \ni\n\u200b\n =0] \n\u2223\n\u2223\n\u200b\n \u2264v \nN\n\u200b\n \nwhere \n[\n\ufffd\n]\n[P] is \n1\n1 iff \n\ufffd\nP is true, and \n0\n0 otherwise.\n\nYou are given the binary string \n\ufffd\nS representing the distribution.\nPrint YES if the given distribution is fair, and NO otherwise.\n\nInput Format\nThe first line of input will contain a single integer \n\ufffd\nT, denoting the number of test cases.\nEach test case consists of two lines of input.\nThe first line of each test case contains a single integer \n\ufffd\nN, the number of toys.\nThe second line of each test case contains a binary string \n\ufffd\nS of length \n\ufffd\nN.\nOutput Format\nFor each test case, output on a new line the answer: YES or NO depending on whether \n\ufffd\nS represents a fair distribution or not.\n\nEach character of the output may be printed in either lowercase or uppercase, i.e, the strings NO, no, nO, and No will all be treated as equivalent.\n\nConstraints\n1\n\u2264\n\ufffd\n\u2264\n1\n0\n4\n1\u2264T\u226410 \n4\n \n1\n\u2264\n\ufffd\n\u2264\n1\n0\n5\n1\u2264N\u226410 \n5\n \nThe sum of \n\ufffd\nN over all test cases won't exceed \n3\n\u22c5\n1\n0\n5\n3\u22c510 \n5\n .\n\ufffd\nS is a binary string of length \n\ufffd\nN.\nSample 1:\nInput\nOutput\n6\n1\n1\n2\n00\n4\n1010\n4\n1100\n6\n010101\n5\n00001\nYES\nNO\nYES\nNO\nYES\nNO\nExplanation:\nTest case \n1\n1: The given formula reduces to \n\u2223\n\ufffd\n1\n\u2223\n\u2264\n\ufffd\n1\n\u2223v \n1\n\u200b\n \u2223\u2264v \n1\n\u200b\n , which is true since \n\ufffd\n1\n\u2265\n0\nv \n1\n\u200b\n \u22650.\n\nTest case \n2\n2: The distribution is not fair for \n\ufffd\n1\n=\n\ufffd\n2\n=\n1\nv \n1\n\u200b\n =v \n2\n\u200b\n =1, hence the answer is NO.\nNote that the distribution is fair for \n\ufffd\n1\n=\n\ufffd\n2\n=\n0\nv \n1\n\u200b\n =v \n2\n\u200b\n =0, but we need to check if its fair for all possible \n\ufffd\nv satisfying the constraints.\n\nTest case \n3\n3: It can be proved that the distribution is always fair.\n\nTest case \n4\n4: The distribution is not fair for \n\ufffd\n=\n[\n1\n,\n2\n,\n4\n,\n8\n]\nv=[1,2,4,8].\n\naccepted\nAccepted\n28\ntotal-Submissions\nSubmissions\n580\naccuracy\nAccuracy\n5.17 give a short c program to it"}]} +{"question_id":"dbff049f35b142249c18d8faebe84039","category":"arena-hard-v0.1","cluster":"Algorithms and Problem Solving","turns":[{"content":"Problem\nYou are hosting a chess tournament with \n2\n\ufffd\n2N people. Exactly \n\ufffd\nX of them are rated players, and the remaining \n2\n\ufffd\n\u2212\n\ufffd\n2N\u2212X are unrated players.\n\nYour job is to distribute the players into \n\ufffd\nN pairs, where every player plays against the person paired up with them.\n\nSince you want the rated players to have an advantage, you want to pair them with unrated players. Thus, you want to minimize the number of rated players whose opponent is also rated.\nPrint the minimum number of rated players whose opponents are also rated, among all possible pairings.\n\nInput Format\nThe first line of input will contain a single integer \n\ufffd\nT, denoting the number of test cases.\nEach test case consists of \n1\n1 line containing \n2\n2 space-separated integers \n\ufffd\nN and \n\ufffd\nX, meaning there are \n2\n\ufffd\n2N players, and \n\ufffd\nX of them are rated.\nOutput Format\nFor each test case, output on a new line the minimum number of rated players who will have rated opponents.\n\nConstraints\n1\n\u2264\n\ufffd\n\u2264\n2600\n1\u2264T\u22642600\n1\n\u2264\n\ufffd\n\u2264\n50\n1\u2264N\u226450\n0\n\u2264\n\ufffd\n\u2264\n2\n\u22c5\n\ufffd\n0\u2264X\u22642\u22c5N\nSample 1:\nInput\nOutput\n6\n1 0\n1 1\n1 2\n4 4\n4 6\n10 20\n0\n0\n2\n0\n4\n20\nExplanation:\nTest case \n1\n1: There is no rated player and hence no rated player has a opponent who is also rated. Thus the answer is \n0\n0.\n\nTest case \n2\n2: There is only one match, which is between a rated player and an unrated player. Thus the answer is \n0\n0.\n\nTest case \n3\n3: There is only one match, which is between \n2\n2 rated players. Thus the answer is \n2\n2 as both contribute to the count of rated players whose opponents are also rated.\n\naccepted\nAccepted\n630\ntotal-Submissions\nSubmissions\n1656\naccuracy\nAccuracy\n45.65\nDid you like the problem statement?\n2 users found this helpful\nC\n\u200b\n\n\n\n0:0\n give a c program to it"}]} +{"question_id":"60856d87b3484a4db45a67ac560a2b06","category":"arena-hard-v0.1","cluster":"Android Development Challenges","turns":[{"content":"[CXX1429] error when building with ndkBuild using E:\\Dhruvin kheni\\Backup\\Backup\\Pancard_pe_loan\\Pancard_pe_loan\\app\\src\\main\\jni\\Android.mk: Android NDK: Your APP_BUILD_SCRIPT points to an unknown file: E:\\Dhruvin kheni\\Backup\\Backup\\Pancard_pe_loan\\Pancard_pe_loan\\app\\src\\main\\jni\\Android.mk \n\nC++ build system [configure] failed while executing:\n @echo off\n \"C:\\\\Users\\\\BMV3\\\\AppData\\\\Local\\\\Android\\\\Sdk\\\\ndk\\\\25.1.8937393\\\\ndk-build.cmd\" ^\n \"NDK_PROJECT_PATH=null\" ^\n \"APP_BUILD_SCRIPT=E:\\\\Dhruvin kheni\\\\Backup\\\\Backup\\\\Pancard_pe_loan\\\\Pancard_pe_loan\\\\app\\\\src\\\\main\\\\jni\\\\Android.mk\" ^\n \"NDK_APPLICATION_MK=E:\\\\Dhruvin kheni\\\\Backup\\\\Backup\\\\Pancard_pe_loan\\\\Pancard_pe_loan\\\\app\\\\src\\\\main\\\\jni\\\\Application.mk\" ^\n \"APP_ABI=arm64-v8a\" ^\n \"NDK_ALL_ABIS=arm64-v8a\" ^\n \"NDK_DEBUG=1\" ^\n \"APP_PLATFORM=android-26\" ^\n \"NDK_OUT=E:\\\\Dhruvin kheni\\\\Backup\\\\Backup\\\\Pancard_pe_loan\\\\Pancard_pe_loan\\\\app\\\\build\\\\intermediates\\\\cxx\\\\Debug\\\\6h295i67\/obj\" ^\n \"NDK_LIBS_OUT=E:\\\\Dhruvin kheni\\\\Backup\\\\Backup\\\\Pancard_pe_loan\\\\Pancard_pe_loan\\\\app\\\\build\\\\intermediates\\\\cxx\\\\Debug\\\\6h295i67\/lib\" ^\n \"APP_SHORT_COMMANDS=false\" ^\n \"LOCAL_SHORT_COMMANDS=false\" ^\n -B ^\n -n\n from E:\\Dhruvin kheni\\Backup\\Backup\\Pancard_pe_loan\\Pancard_pe_loan\\app\nC:\/Users\/BMV3\/AppData\/Local\/Android\/Sdk\/ndk\/25.1.8937393\/build\/..\/build\/core\/add-application.mk:88: *** Android NDK: Aborting... . Stop.\nAffected Modules: app\n"}]} +{"question_id":"7cbfd2a54982478e8228877fd89b4600","category":"arena-hard-v0.1","cluster":"Android Development Challenges","turns":[{"content":"User\nI am an Android developer. When running my ONNX runtime application, the CPU utilisation is ~40% . How can I increase the CPU usage for my app?"}]} +{"question_id":"6a82bab747f644fb9c5d648114fb6597","category":"arena-hard-v0.1","cluster":"Approximate Vector Subset Selection","turns":[{"content":"Provide 15 attack vectors in Manufacturing sector and methods to mitigate the identied risks "}]} +{"question_id":"f7c6dcee42e646abac890e3bb540d403","category":"arena-hard-v0.1","cluster":"Approximate Vector Subset Selection","turns":[{"content":"In what order should I learn Deep Learning from the foundations such as matrices and vectors all the way to transformers?"}]} +{"question_id":"66de1a59fcb2421c978bd9bb4be8ea6c","category":"arena-hard-v0.1","cluster":"Archive Formats and Encryption","turns":[{"content":"Write a complete Python program to archive files in a specified folder into separate zip files on Linux."}]} +{"question_id":"32e124cb2eae422ba5c33985b00cd8c0","category":"arena-hard-v0.1","cluster":"Archive Formats and Encryption","turns":[{"content":"I have a backup of my Linux Mint system from last month in a set of .gz (zipped tar) files. What arguments can I use with tar to update any files that have changed, without re-archiving unchanged files?"}]} +{"question_id":"a3dfabb011e245e190a0147fef6ff14b","category":"arena-hard-v0.1","cluster":"Array Pair Sum Optimization","turns":[{"content":"Given a binary array 'nums', you are required to find the maximum length of a contiguous subarray that contains an equal number of 0s and 1s.\n\nExplanation:\n\nA binary array is an array that contains only 0s and 1s.\nA subarray is any subset of the indices of the original array.\nA contiguous subarray is a subarray in which all the elements are consecutive, i.e., any element between the first and last element of the subarray is also part of it.\nExamples:\nInput :nums = [0, 1]\nOutput : 2\nExplanation: The longest contiguous subarray with an equal number of 0s and 1s is [0, 1] with a length of 2.\nInput : nums = [0, 1, 0]\nOutput : 2\nExplanation: The longest contiguous subarray with an equal number of 0s and 1s is either [0, 1] or [1, 0], both with a length of 2.\nInput : nums = [0, 0, 0, 1, 1, 1]\nOutput : 6\nExplanation: The longest contiguous subarray with an equal number of 0s and 1s is [0, 0, 0, 1, 1, 1] with a length of 6.\nThe problem requires finding the maximum length of a contiguous subarray in the binary array 'nums' that contains an equal number of 0s and 1s."}]} +{"question_id":"20c9d951035f4b778d201db3859786c9","category":"arena-hard-v0.1","cluster":"Array Pair Sum Optimization","turns":[{"content":"Help me solve the following qn. Please provide a intuitive easy to understand step by step solution:\n\nGiven two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays.\n\n"}]} +{"question_id":"65e7230293c14227b2bf7fc8113e8378","category":"arena-hard-v0.1","cluster":"Array Positioning & SAT Solving","turns":[{"content":"In GAMS, assume I have s parameters which is indexed over two sets P1(A,B), and I have another one-to-one-mapping that maps exactly each element of B to each element of C. How can I create a new parameter P2(A,C) such that each value of P2 takes the mapped value from P1?"}]} +{"question_id":"91e8fc5340fe4c21b697ec329bf62eb2","category":"arena-hard-v0.1","cluster":"Array Positioning & SAT Solving","turns":[{"content":"I have a set of examples (that is assignments of $n$ variables $x_1 ... x_n$ that are labeled as solution (+) or non-solution (-). The goal is to find the minimum subset of variables in $x_1 ... x_n$ such that it is possible to split between (+) and (-) by seeing only theses variables."}]} +{"question_id":"4587e8a3798646af8f351685e6949788","category":"arena-hard-v0.1","cluster":"Aspiring Data Scientist Guidance","turns":[{"content":"You are a data scientist, output a Python script in OOP for a contextual multi armed bandit sampling from 3 models"}]} +{"question_id":"2a6d0b92fbb5448bb2f7540db9645674","category":"arena-hard-v0.1","cluster":"Aspiring Data Scientist Guidance","turns":[{"content":"What is the most successful go to market strategy for a managed services business?"}]} +{"question_id":"70dccc6c737b47ff842cbb50ed6b249a","category":"arena-hard-v0.1","cluster":"Audio Signal Direction Detection","turns":[{"content":"Hello, what do you think of this arduino code in regards to understandability, optimization and size?\nAny suggestions for improvements?\n\nvoid cycleLEDs(int interval) {\n const int nOutPins = sizeof(outPins) \/ sizeof(outPins[0]);\n static unsigned long lastChange = 0;\n static int currIndex = 0; \/\/ Use static to retain value between function calls\n int nextIndex = 0;\n \n if (millis() >= lastChange + abs(interval)) {\n\n \/\/ Determine direction\n int direction = interval < 0 ? -1 : 1;\n\n \/\/ Update secondary index\n nextIndex = currIndex + direction;\n if (nextIndex < 0) {\n nextIndex = nOutPins - 1;\n } else if (nextIndex >= nOutPins) {\n nextIndex = 0;\n }\n \n \/\/ Turn off all LEDs\n for (int i = 0; i < nOutPins; i++) {\n if (i == currIndex || i == nextIndex){\n digitalWrite(outPins[i], HIGH);\n } else {\n digitalWrite(outPins[i], LOW);\n } \n }\n\n \/\/ Update current index\n currIndex += direction;\n if (currIndex < 0) {\n currIndex = nOutPins - 1;\n } else if (currIndex >= nOutPins) {\n currIndex = 0;\n }\n\n \/\/ Update timer\n lastChange = millis();\n }\n}\n\nThank you for your help, i value your input."}]} +{"question_id":"a3977c9da04d41a0bbdaea3cf66fd0a4","category":"arena-hard-v0.1","cluster":"Audio Signal Direction Detection","turns":[{"content":"find the issue: #include \"mbed.h\"\n#include \n\nDigitalOut ledYellow(D2);\nDigitalOut ledAmber(D3);\nDigitalOut ledRed(D4);\n\nThread thread2;\nThread thread3;\n\nint counter = 0;\n\n\/\/ Subroutine for any LEDs\nvoid ledAny (DigitalOut *ledA){\n while(true){\n *ledA = 1;\n ThisThread::sleep_for(500ms);\n *ledA =0;\n ThisThread::sleep_for(1500ms);\n printf(\"My pointer is %p\\n\", *ledA);\n }\n}\n\n\n\/\/ main() runs in its own thread in the OS\nint main(){\n\n thread2.start(callback(ledAny, &ledYellow));\n ThisThread::sleep_for(1000ms);\n thread3.start(callback(ledAny, &ledAmber));\n\n while (true) {\n counter = counter + 1;\n\n ledRed.write(true);\n ThisThread::sleep_for(500ms);\n ledRed.write(false);\n ThisThread::sleep_for(500ms);\n\n if (counter>20){\n thread2.terminate();\n }\n\n\n }\n}\n\n"}]} +{"question_id":"4a60873735a64c2c95c0ba24cb441aaa","category":"arena-hard-v0.1","cluster":"Automated Testing & Tools","turns":[{"content":"Is there an early stop out method (to control for multiple testing problem in hypothesis tests) for a dataset with initial probabilities of passing. For example, I have a set of financial market strategies with initial probability of skill using the probabilistic sharpe ratio. I want to test these strategies for a different dataset but I also want to control for multiple testing. Testing all available strategies will lead to multiple testing problems. So, I only want to test a subset of my strategies. Is there an early stop-out method for this application?"}]} +{"question_id":"e7e76d4bcf0342308ca6153634000a4a","category":"arena-hard-v0.1","cluster":"Automated Testing & Tools","turns":[{"content":"Can you write a service catalogue for a Microsoft M365 consultancy focusing on Data, Data Management, Automation and A.I. The focus should be on audits, roadmaps, advice and cutting edge technologies within the M365 ecosystem but not be its only focus"}]} +{"question_id":"fd64e8bac19e4e56b194599b3ba17ec1","category":"arena-hard-v0.1","cluster":"Baking and Peanut Butter Recipes","turns":[{"content":"Give me a recipe for making 5L of strawberry and blackberry melomel. Use metric measurements."}]} +{"question_id":"ec7f8d669ea8455a8e67fe860520352f","category":"arena-hard-v0.1","cluster":"Baking and Peanut Butter Recipes","turns":[{"content":"Consider the flavors of the ingredients. The ingredients are: tuna, salt, chocolate\nGenerate a contingency table for ingredient combinations. Each row represents an ingredient. Each column represents an ingredient. each cell has the flavor profile of the ingredient combination. "}]} +{"question_id":"db60d25a509f454b878cc2c5371d5f6f","category":"arena-hard-v0.1","cluster":"Basic Assembly Operations","turns":[{"content":"i need to allocate some space on stack for my local variables (in x86-64 nasm assembly)"}]} +{"question_id":"f0c7479e7bde4b9aa80dd79dad179755","category":"arena-hard-v0.1","cluster":"Basic Assembly Operations","turns":[{"content":"Write a function in PPC64 to load the GOT and call a function in the GOT"}]} +{"question_id":"d6410be3847048f188e27568e4e9f0d1","category":"arena-hard-v0.1","cluster":"Batch Size in Deep Learning","turns":[{"content":"When training my neural network, I can get a loss below 4.5 at 10,000 iterations. The latest attempt includes trying batch sizes of 512, 1024, and 2048 while keeping the block size at a 4. All of this is done in the context of nanoGPT. It's worth noting that when I ran a batch size of 12 and a block size of 1024, I managed to get the loss down to 4.32 after 10,000 iterations. In your opinion and experience, what steps can I take in order to reduce the loss? Please keep in mind that my video card has 12GB of RAM and the vocabulary is made up of 20,000 words. Each sentence is made up of exactly four tokens. Do you have any suggestions how I could improve the neural network, please?"}]} +{"question_id":"3971e3d0eb194b8c9344030bebd0c6aa","category":"arena-hard-v0.1","cluster":"Batch Size in Deep Learning","turns":[{"content":"Here are the top issues reported for a Scheduling system. Can you categorize them and report on counts for the most common issues:\n\nTitle\tShortResolution\nPlanner-Loadboard Sync Issue.\tReplicated job fixed issue.\nLoadboard-Planner Task Sync Issue.\tForecast indicator removed by renaming.\nWest Allis MLS HDSS Header Update.\tRenamed resource replicated next day.\n\"Daily Task Board Setup\"\tDuplex task run creation fixed.\n\"Cancelled jobs tasks remain in LB2\"\tCharacters issue fixed. OM updated.\nMissing Task for Press in 3 Hours\tData resent and planner updated.\nLoadboard job display error.\tReset Citrix connection.\nPresort error for Cafe Sheet batch.\tNew job number created.\nFilter not catching FSC MC.\tAdded 'contains' operator for search.\nAccess issues with LB2 & Finishing Toolset shortcuts at PEI-111.\tLB2 deployment successful.\nAccess issues with LB2 workstation.\tResolved LB2 deployment issue.\nLoadboard crashes and login issues.\tCitrix server resolved, login fix in progress.\nLB2 Loadboard Tool Error.\tLB2 error resolved, no action taken.\nDeployment delays causing downtime\tProblem not solved. Presses deploy requested.\nLoadboard server error.\tBroker switch resolved LB2 issue.\nLoadboard Malfunction - Urgent!\tInk jet data corrected; schedule loaded."}]} +{"question_id":"4c2a6d7d4a4243e0ab0a633c348444e8","category":"arena-hard-v0.1","cluster":"Binance USDT Historical Data","turns":[{"content":"write a python code to get daily stocks data from yfinance and plot"}]} +{"question_id":"68ab3fd2a31c473b97c416ddb1ccffb4","category":"arena-hard-v0.1","cluster":"Binance USDT Historical Data","turns":[{"content":"Using pandas-ta, I have forex data and an 'EMA50' column. I want to detect where the close price crosses over the 'EMA50' value."}]} +{"question_id":"f4c8b624448a40dc82757a8801093c1b","category":"arena-hard-v0.1","cluster":"Bob, Alice, Relationships & Interactions","turns":[{"content":"Write a song about catfish in the style of Bob Dylan."}]} +{"question_id":"bc75023ee4bc4b9b8e01865429907014","category":"arena-hard-v0.1","cluster":"Bob, Alice, Relationships & Interactions","turns":[{"content":"Write a php project to open a MySQL database called Bob, and receive fields field1, field2 via http post and store in database"}]} +{"question_id":"2c53e72874844987b48588106c705039","category":"arena-hard-v0.1","cluster":"Browser Extensions Development","turns":[{"content":"Write a chrome plugin that saves the contents of the current page"}]} +{"question_id":"bd49bd3cc95843f9addca45abe0b27a7","category":"arena-hard-v0.1","cluster":"Browser Extensions Development","turns":[{"content":"I am migrating from MacOS Mojave running Safari 14 to a new Mac running Safari 17 under MacOS Sonoma. I want Safari on my new Mac to automatically open with all the tabs open on my old Mac. Note that Safari 14 does not support iCloud tabs, and that I do *not* want to have to manually open each tab as I have hundreds of them!"}]} +{"question_id":"984787b1d5c64bb7b6dcd485ff8a70e6","category":"arena-hard-v0.1","cluster":"Bug-Related German Translation","turns":[{"content":"A bug got into the computer case causing the software to bug out which was really starting to bug me but at least we discovered that no one had bugged the room. \nWhat does each instance of the word bug mean in the above sentence. "}]} +{"question_id":"c63a6be043534eda89675bdc0310bc43","category":"arena-hard-v0.1","cluster":"Bug-Related German Translation","turns":[{"content":"Find a fix for this bug : \n```This model maximum context length is 2048 tokens. However, your messages resulted in over 2364 tokens.```"}]} +{"question_id":"a89e93c61470449389c17d1f0fcb8469","category":"arena-hard-v0.1","cluster":"Bulk Ticket Pricing Mathematics","turns":[{"content":"I want you to act as an experienced software developer. I will provide information about a web app requirements. It will be your job to come up with a system connection architecture, a specific list of helper code libraries, a clear list of 5 sprint tickets from the project setup, and a detailed list of tasks for each of such tickets to develop an scalable and secure app with NodeJS, SQL and React. My request is this: 'I desire a system that allow users to register and save information related to mechanical devices inventory (name, reference, quantity, etc) according to their roles. There will be user, staff and admin roles. Users should be able to read all and to update individual records. Staff could also add new records and submit bulk updates. Admin also should create and eliminate entities like ddbb fields and users'. Implement the best practices on your proposal"}]} +{"question_id":"74c4255dd61d41d68ea69e4469a63fce","category":"arena-hard-v0.1","cluster":"Bulk Ticket Pricing Mathematics","turns":[{"content":"I need to connect a list of FBIDs found in support tickets (the dim_tier1_job_final table) to a list of page IDs found in a target list. Unfortunately, our support tickets typically don't include a page ID. How can I connect these two lists of data in Daiquery?"}]} +{"question_id":"ab10af348f7f49e6813728282ade2ca9","category":"arena-hard-v0.1","cluster":"Business Operations Analysis","turns":[{"content":"A company is having transhipment problems where they need to ship all the goods from the plants to all of the destinations at the minimum possible transportation cost.\n\n \n\nThe plantations, which are the origin of the network, have the following details:\n\nArea\tProduction \nDenver\t600\nAtlanta\t400\nHouston\t500\n \n\nThe Retail Outlets, which are the destination of the network, have the following details: \n\nRetail Outlets\tDemand\nDetriot\t 300\nMiami\t 250\nDallas\t 450\nNew Orleans\t 500\n \n\nTransportation costs from Plants to Warehouses (intermediate destination)\n\nPlant\/Warehouse\tKansas City\tLousville\nDenver\t3\t2\nAtlanta\t2\t1\nHouston\t4\t3\n \n\nTransportation costs from Warehouses to Retail Outlets\n\nDetriot\tMiami\tDallas\tNew Orleans\nKansas City\t2\t6\t3\t5\nLousville\t4\t4\t6\t5\n \n\n\nWhat is the minimum cost that can be achieved for this transhipment problem? \n[ Select ]\n\n\n\nWhat will be the effect on the total cost of the optimal solution if Denver can also directly ship to all the Retail Outlets at $6 cost? \n[ Select ]\n\nWhat would happen if there is a maximum capacity of 350 units on all flows? \n[ Select ]\n\nWhat is the total netflow of the network? \n[ Select ]\n\nIn a situation where there is a maximum capacity of 350 units on all flows and all plants can directly ship to all retail outlets at $5, which of the following statements is true? \n[ Select ]\n\n\nStatement 1: The total cost of the optimal solution would decrease.\nStatement 2: There would be no flows in Lousville.\nStatement 3: To achieve the optimal solution, all plants will have to ship their products directly to the retail outlets."}]} +{"question_id":"33166da9898f40b6aff3fa8d988dae7a","category":"arena-hard-v0.1","cluster":"Business Operations Analysis","turns":[{"content":"Joe the trainer has two solo workout plans that he offers his clients: Plan A and Plan B. Each client does either one or the other (not both). On Monday there were 9 clients who did Plan A and 7 who did Plan B. On Tuesday there were 3 clients who did Plan A and 5 who did Plan B. Joe trained his Monday clients for a total of 12 hours and his Tuesday clients for a total of 6 hours. How long does each of the workout plans last? length of each plan A workout? length of each plan B workout"}]} +{"question_id":"2b9b644162d741b3a0f27c5d91752dd4","category":"arena-hard-v0.1","cluster":"C++ Code Conversion Challenge","turns":[{"content":"Write functionality to print the rxdataF variable in c:\nru->common.rxdataF = (int32_t**)malloc16(ru->nb_rx*sizeof(int32_t*) );\nru->common.rxdataF[i] = (int32_t*)malloc16_clear(sizeof(int32_t)*(NUMBER_RX_BUFFERS*fp->symbols_per_slot*fp->ofdm_symbol_size) ); "}]} +{"question_id":"6462f12cc6c64d66aa2dcae61d6ec7c2","category":"arena-hard-v0.1","cluster":"C++ Code Conversion Challenge","turns":[{"content":"Please rewrite the following pseudo C code as an equivalent code that is easier to read (assume that every variable works, even if it's not defined):\n\n```\nhandleCmdLineArgs(char *param_1)\n{\n uint uVar2;\n uint uVar3;\n int iVar4;\n char *pcVar5;\n char cVar1;\n \n uVar3 = 0xffffffff;\n uVar2 = 0;\n iVar4 = 0;\n pcVar5 = param_1;\n do {\n if (uVar3 == 0) break;\n uVar3 = uVar3 - 1;\n cVar1 = *pcVar5;\n pcVar5 = pcVar5 + 1;\n } while (cVar1 != '\\0');\n if (0 < (int)(~uVar3 - 2)) {\n do {\n uVar2 = RK_CheckSJIS(uVar2 & 0xffffff00 | (uint)(byte)param_1[iVar4]);\n if (uVar2 == 1) {\n iVar4 = iVar4 + 1;\n }\n else if (param_1[iVar4] == '\/') {\n uVar2 = uVar2 & 0xffffff00 | (uint)(byte)param_1[iVar4 + 1] | 0x20;\n if ((char)uVar2 == 'w') {\n IsWindowedMode = 1;\n }\n else if ((char)uVar2 == 'f') {\n IsWindowedMode = 0;\n }\n }\n iVar4 = iVar4 + 1;\n } while (iVar4 < (int)(~uVar3 - 2));\n }\n}\n```"}]} +{"question_id":"7ea271ef49474854a73d16a627d3f0c9","category":"arena-hard-v0.1","cluster":"CAD Tax Invoice Analysis","turns":[{"content":"show me the steps to build an invoice app using phython"}]} +{"question_id":"5b2976a6c57f4bbca86176abb5993575","category":"arena-hard-v0.1","cluster":"CAD Tax Invoice Analysis","turns":[{"content":"I am expensing airfare costs with my employer, and the reporting software asks me to specify the GST\/HST portion of the expense. Reading the invoice for my flight from Toronto, through Montreal, to Las Vegas, I see a base fare (CAD) of 164.99, Total V.A.T\/G.S.T\/H.S.T. of $15, and Other Taxes of 132.12. The total invoice then sums to 312.11 CAD. I have never seen a bill with 2 tax categories like this and am not sure how the $15 and 132.12 were calculated, and which I should report as GST\/HST in my company's expense report. Can you help me better understand how to correctly report the HST on my airfare?"}]} +{"question_id":"b253dc64bdd74f5c84882ae51e009ca6","category":"arena-hard-v0.1","cluster":"CIO Biotech IT Strategy","turns":[{"content":"Act as Chief Information Officer and write 3 S.M.A.R.T. goals on creating an IT Incident response plan with detailed table top exercises over the next 6 months. "}]} +{"question_id":"26a29141be254ce0a7710e45face31f4","category":"arena-hard-v0.1","cluster":"CIO Biotech IT Strategy","turns":[{"content":"You are Chief Information Officer and act like one. Write a weekly activity report in the form of titles and bullet statements. Summarize and include the following information: Key Updates from IT (strategic iniatives)\n\no\tSecurity\/Communications with Madison Industries\no\tThe internal\/external Pentesting is continuing this week and is planned to end this Friday. We should get an outbrief and report early next week. Greenpages has been extremely thorough and have a more extensive approach than our previous Evolve Pentests. \no\tTracking Pentest remediation priorities 1 of 10 remain. Upgrading exchange servers for Dev.\no\tMonth Security call with Ken Holmes on Tuesday, June 20. Conducted a review of cyber risk compared to all of Madison companies. \n\uf0a7\tStreck is ranked 7 of 39 companies for overall readiness score (1 Red, 5 Yellow, 3 Green)\n\uf0a7\tDiscussed our rating on KnowBe4 Security training being Yellow with 63 account not completing training. The list of 63 included group accounts and accounts that needed deleted. The real number is 4 people that need to complete training. We are following up with those 4 individuals today.\no\tKen and I also discussed Strecks plans for AI and Incident response. Ken has added me to the Madison committees for both topics. \no\tKen stated that Madison will have the IT Leaders meeting at the GreenPages conference in OCTober. He has asked me to attend. I had budgeted for 2-3 IT attendees.\nOn-Prem Exchange Retirement\n\uf0a7\tMadison has determined ASAP \n\uf0a7\tInfrastructure has stood up and is testing replacement solution\n\uf0a7\tDave S, Doug V, Will J, Justin B, Molly M and Scott M met on 6\/9\/2023 \n\uf0a7\t10 of 18 applications remain\n\no\tArtificial Intelligence Planning\no\tPriya and I had a followup meeting with Troy Bothwell to view 4 AI FY24 proposal projects that we can look at using off the shelf or home grown AI solutions. Troy\/I are building a justification and business case for a Weather AI app and a warehouse Slotting app to be presented to John for priority projects for CY24. I am coordinating with other Omaha leaders in IT and Manufacturing to get use case best practices and suggestions for Off the shelf solutions. If home grown solutions will need to be considered, It will have to look at a consulting solution as our team does not have that skillset currently. \no\tI met with John S and Chris from R&D on 2 separate projects.\n\uf0a7\tCapstone project of automating multiple instrument pdf\u2019s. the instruments generate 100\u2019s of pdf files that need to be manually replicated and then printed. 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metadataproblemanswer
0{'topic': 'Science and technology', 'answer_ty...Who received the IEEE Frank Rosenblatt Award i...Michio Sugeno
1{'topic': 'Science and technology', 'answer_ty...Who was awarded the Oceanography Society's Jer...Annick Bricaud
2{'topic': 'Geography', 'answer_type': 'Place',...What's the name of the women's liberal arts co...Radcliffe College
3{'topic': 'Sports', 'answer_type': 'Person', '...In whose honor was the Leipzig 1877 tournament...Adolf Anderssen
4{'topic': 'Art', 'answer_type': 'Person', 'url...According to Karl Küchler, what did Empress El...Poet Henrich Heine.
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question_idcategoryclusterturnsanswer_idmodel_idchoiceststamp
0328c149ed45a41c0b9d6f14659e63599arena-hard-v0.1ABC Sequence Puzzles & Groups[{'content': 'Use ABC notation to write a melo...Z4HmUFDdopiaQF94UxcPp6gpt-4-0613[{'index': 0, 'turns': [{'content': \"Sure, her...1.711077e+09
1b43c07656ead4150b360294ee932b410arena-hard-v0.1ABC Sequence Puzzles & Groups[{'content': 'SOLVE THIS IN C++ : There are th...mBFfMJsSeEu4qwWnq6bEyGgpt-4-0613[{'index': 0, 'turns': [{'content': 'Here is a...1.711077e+09
21f07cf6d146d4038b2b93aaba3935ce0arena-hard-v0.1AI & Sequence Alignment Challenges[{'content': 'Explain the book the Alignment p...PYBeFEUoYSc2YYXkcnJJfrgpt-4-0613[{'index': 0, 'turns': [{'content': 'Title: Th...1.711077e+09
39f25ff7c0d6a4d74846bfe76af8d925carena-hard-v0.1AI & Sequence Alignment Challenges[{'content': 'Design a semikinematic mounting ...m9JJtspEYw9i7jt3UZak7Fgpt-4-0613[{'index': 0, 'turns': [{'content': \"Designing...1.711077e+09
404ba0aeb79524f6c8520d47cada34f25arena-hard-v0.1AI Image Upscaling[{'content': 'I have a dataset which contains ...erLFGQTX2keSh2ZPN8DrzAgpt-4-0613[{'index': 0, 'turns': [{'content': 'To find t...1.711077e+09
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" + ], + "text/plain": [ + " question_id category \\\n", + "0 328c149ed45a41c0b9d6f14659e63599 arena-hard-v0.1 \n", + "1 b43c07656ead4150b360294ee932b410 arena-hard-v0.1 \n", + "2 1f07cf6d146d4038b2b93aaba3935ce0 arena-hard-v0.1 \n", + "3 9f25ff7c0d6a4d74846bfe76af8d925c arena-hard-v0.1 \n", + "4 04ba0aeb79524f6c8520d47cada34f25 arena-hard-v0.1 \n", + "\n", + " cluster \\\n", + "0 ABC Sequence Puzzles & Groups \n", + "1 ABC Sequence Puzzles & Groups \n", + "2 AI & Sequence Alignment Challenges \n", + "3 AI & Sequence Alignment Challenges \n", + "4 AI Image Upscaling \n", + "\n", + " turns answer_id \\\n", + "0 [{'content': 'Use ABC notation to write a melo... Z4HmUFDdopiaQF94UxcPp6 \n", + "1 [{'content': 'SOLVE THIS IN C++ : There are th... mBFfMJsSeEu4qwWnq6bEyG \n", + "2 [{'content': 'Explain the book the Alignment p... PYBeFEUoYSc2YYXkcnJJfr \n", + "3 [{'content': 'Design a semikinematic mounting ... m9JJtspEYw9i7jt3UZak7F \n", + "4 [{'content': 'I have a dataset which contains ... erLFGQTX2keSh2ZPN8DrzA \n", + "\n", + " model_id choices tstamp \n", + "0 gpt-4-0613 [{'index': 0, 'turns': [{'content': \"Sure, her... 1.711077e+09 \n", + "1 gpt-4-0613 [{'index': 0, 'turns': [{'content': 'Here is a... 1.711077e+09 \n", + "2 gpt-4-0613 [{'index': 0, 'turns': [{'content': 'Title: Th... 1.711077e+09 \n", + "3 gpt-4-0613 [{'index': 0, 'turns': [{'content': \"Designing... 1.711077e+09 \n", + "4 gpt-4-0613 [{'index': 0, 'turns': [{'content': 'To find t... 1.711077e+09 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Example:\n", + "prompt: Use ABC notation to write a melody in the style of a folk tune.\n", + "search_helpful: False\n", + "source: arena_hard\n", + "label: Implementing a SCIM (System for Cross-domain Identity Management) server in PHP using Slim as a router involves several steps. Here's a basic outline of how you might approach this:\n", + "\n", + "1. **Install Slim Framework**: Slim is a PHP micro framework that helps you quickly write simple yet powerful web applications and APIs. You can install it using Composer:\n", + "\n", + "```bash\n", + "composer require slim/slim \"^3.0\"\n", + "```\n", + "\n", + "2. **Set Up Routing**: After installing Slim, you can set up routing. Here's a basic example:\n", + "\n", + "```php\n", + "get('/hello/{name}', function (Request $request, Response $response, array $args) {\n", + " $name = $args['name'];\n", + " $response->getBody()->write(\"Hello, $name\");\n", + "\n", + " return $response;\n", + "});\n", + "$app->run();\n", + "```\n", + "\n", + "3. **Implement SCIM Protocol**: SCIM is an open standard that allows for the automation of user provisioning. You'll need to implement various endpoints (like /Users, /Groups) according to the SCIM protocol specification. \n", + "\n", + "For example, to implement the /Users endpoint:\n", + "\n", + "```php\n", + "$app->get('/scim/v2/Users', function (Request $request, Response $response, array $args) {\n", + " // Fetch users from your identity source (database, LDAP, etc.)\n", + " // Format the users according to the SCIM protocol\n", + " // Return the SCIM-formatted users\n", + "});\n", + "```\n", + "\n", + "4. **Handle SCIM Operations**: For each SCIM endpoint, you'll need to handle various operations (GET, POST, PUT, DELETE) according to the SCIM protocol specification. \n", + "\n", + "For example, to handle a POST request to the /Users endpoint:\n", + "\n", + "```php\n", + "$app->post('/scim/v2/Users', function (Request $request, Response $response, array $args) {\n", + " // Parse the SCIM-formatted user from the request\n", + " // Create a new user in your identity source\n", + " // Return the SCIM-formatted user\n", + "});\n", + "```\n", + "\n", + "5. **Error Handling**: You'll also need to handle errors and return SCIM-formatted error responses.\n", + "\n", + "```php\n", + "$app->get('/scim/v2/Users/{id}', function (Request $request, Response $response, array $args) {\n", + " // Fetch the user from your identity source\n", + " // If the user doesn't exist, return a SCIM-formatted error\n", + " // Otherwise, return the SCIM-formatted user\n", + "});\n", + "```\n", + "\n", + "6. **Testing**: Finally, you'll want to thoroughly test your SCIM server to ensure it's working correctly and adhering to the SCIM protocol specification.\n", + "\n", + "Please note that this is a simplified example and a real-world implementation would require more detailed error handling, validation, and security measures. Also, there are libraries available that can help with implementing the SCIM protocol in PHP, which might be worth considering.\n", + "metadata: None\n" + ] + } + ], + "source": [ + "arena_hard_prompts = pd.read_json('data/arena_hard_prompts.jsonl', lines=True)\n", + "arena_hard_answers = pd.read_json('data/gpt-4-0613.jsonl', lines=True)\n", + "arena_hard = pd.merge(arena_hard_prompts, arena_hard_answers, on='question_id')\n", + "print('Full Arena-Hard test set size: {}'.format(len(arena_hard)))\n", + "display(arena_hard.head())\n", + "\n", + "arena_hard['prompt'] = arena_hard['turns'].apply(lambda x: x[0]['content'])\n", + "arena_hard['answer'] = arena_hard_answers['choices'].apply(lambda x: x[0]['turns'][0]['content'])\n", + "\n", + "no_search_dataset = []\n", + "for _, row in arena_hard.iterrows():\n", + " no_search_dataset.append({\n", + " 'prompt': row['prompt'],\n", + " 'search_helpful': False,\n", + " 'source': 'arena_hard',\n", + " 'label': row['answer'],\n", + " 'metadata': None,\n", + " })\n", + "\n", + "print('Example:')\n", + "for k, v in no_search_dataset[0].items():\n", + " print('{}: {}'.format(k, v))" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "with open('eval_sets/search_dataset.jsonl', 'w') as f:\n", + " for item in search_dataset:\n", + " f.write('{}\\n'.format(json.dumps(item)))\n", + "\n", + "with open('eval_sets/no_search_dataset.jsonl', 'w') as f:\n", + " for item in no_search_dataset:\n", + " f.write('{}\\n'.format(json.dumps(item)))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/evaluation/eval_sets/no_search_dataset.jsonl b/evaluation/eval_sets/no_search_dataset.jsonl new file mode 100644 index 000000000..89853f273 --- /dev/null +++ b/evaluation/eval_sets/no_search_dataset.jsonl @@ -0,0 +1,500 @@ +{"prompt": "Use ABC notation to write a melody in the style of a folk tune.", "search_helpful": false, "source": "arena_hard", "label": "Implementing a SCIM (System for Cross-domain Identity Management) server in PHP using Slim as a router involves several steps. Here's a basic outline of how you might approach this:\n\n1. **Install Slim Framework**: Slim is a PHP micro framework that helps you quickly write simple yet powerful web applications and APIs. You can install it using Composer:\n\n```bash\ncomposer require slim/slim \"^3.0\"\n```\n\n2. **Set Up Routing**: After installing Slim, you can set up routing. Here's a basic example:\n\n```php\nget('/hello/{name}', function (Request $request, Response $response, array $args) {\n $name = $args['name'];\n $response->getBody()->write(\"Hello, $name\");\n\n return $response;\n});\n$app->run();\n```\n\n3. **Implement SCIM Protocol**: SCIM is an open standard that allows for the automation of user provisioning. You'll need to implement various endpoints (like /Users, /Groups) according to the SCIM protocol specification. \n\nFor example, to implement the /Users endpoint:\n\n```php\n$app->get('/scim/v2/Users', function (Request $request, Response $response, array $args) {\n // Fetch users from your identity source (database, LDAP, etc.)\n // Format the users according to the SCIM protocol\n // Return the SCIM-formatted users\n});\n```\n\n4. **Handle SCIM Operations**: For each SCIM endpoint, you'll need to handle various operations (GET, POST, PUT, DELETE) according to the SCIM protocol specification. \n\nFor example, to handle a POST request to the /Users endpoint:\n\n```php\n$app->post('/scim/v2/Users', function (Request $request, Response $response, array $args) {\n // Parse the SCIM-formatted user from the request\n // Create a new user in your identity source\n // Return the SCIM-formatted user\n});\n```\n\n5. **Error Handling**: You'll also need to handle errors and return SCIM-formatted error responses.\n\n```php\n$app->get('/scim/v2/Users/{id}', function (Request $request, Response $response, array $args) {\n // Fetch the user from your identity source\n // If the user doesn't exist, return a SCIM-formatted error\n // Otherwise, return the SCIM-formatted user\n});\n```\n\n6. **Testing**: Finally, you'll want to thoroughly test your SCIM server to ensure it's working correctly and adhering to the SCIM protocol specification.\n\nPlease note that this is a simplified example and a real-world implementation would require more detailed error handling, validation, and security measures. Also, there are libraries available that can help with implementing the SCIM protocol in PHP, which might be worth considering.", "metadata": null} +{"prompt": "SOLVE THIS IN C++ : There are three cards with letters a\n, b\n, c\n placed in a row in some order. You can do the following operation at most once:\n\nPick two cards, and swap them.\nIs it possible that the row becomes abc\n after the operation? Output \"YES\" if it is possible, and \"NO\" otherwise.\nInput\nThe first line contains a single integer t\n (1\u2264t\u22646\n) \u2014 the number of test cases.\n\nThe only line of each test case contains a single string consisting of each of the three characters a\n, b\n, and c\n exactly once, representing the cards.\n\nOutput\nFor each test case, output \"YES\" if you can make the row abc\n with at most one operation, or \"NO\" otherwise.\n\nYou can output the answer in any case (for example, the strings \"yEs\", \"yes\", \"Yes\" and \"YES\" will be recognized as a positive answer).\n\nExample\ninputCopy\n6\nabc\nacb\nbac\nbca\ncab\ncba\noutputCopy\nYES\nYES\nYES\nNO\nNO\nYES\nNote\nIn the first test case, we don't need to do any operations, since the row is already abc\n.\n\nIn the second test case, we can swap c\n and b\n: acb\u2192abc\n.\n\nIn the third test case, we can swap b\n and a\n: bac\u2192abc\n.\n\nIn the fourth test case, it is impossible to make abc\n using at most one operation.", "search_helpful": false, "source": "arena_hard", "label": "The issue you're experiencing might be due to the way your chatbot is handling its context memory. When the context memory is resized, it seems like the bot is not properly managing the instructions that are part of its context. It might be appending the instructions to the output instead of keeping them in the context.\n\nTo rectify this, you should review your chatbot's code, specifically the part that handles context memory and the output generation. Ensure that the instructions are kept within the context and not appended to the output. If you're using a specific chatbot framework or library, you might want to check their documentation or seek help from their community.\n\nAlso, make sure that the instructions are not being added to the output in any other part of your code. It's possible that the instructions are being added to the output in a different part of your code, and it only becomes noticeable when the context memory is resized due to the larger amount of data being processed.\n\nIf you're still having trouble, it might be helpful to provide more specific details about your chatbot's architecture and the specific code that's causing the issue.", "metadata": null} +{"prompt": "Explain the book the Alignment problem by Brian Christian. Provide a synopsis of themes and analysis. Recommend a bibliography of related reading. ", "search_helpful": false, "source": "arena_hard", "label": "In PyQt6, you can use the `setText()` method to print text to a textbox (QLineEdit or QTextEdit). Here's a simple example:\n\n```python\nfrom PyQt6.QtWidgets import QApplication, QMainWindow, QLineEdit\n\nclass MainWindow(QMainWindow):\n def __init__(self):\n super().__init__()\n\n self.textbox = QLineEdit(self)\n self.textbox.move(20, 20)\n self.textbox.resize(280,40)\n\n self.print_text()\n\n def print_text(self):\n self.textbox.setText(\"Hello, PyQt6!\")\n\napp = QApplication([])\nwindow = MainWindow()\nwindow.show()\napp.exec()\n```\n\nIn this example, a QLineEdit widget is created and the `setText()` method is used to print \"Hello, PyQt6!\" to the textbox.\n\nIf you want to append text to a QTextEdit, you can use the `append()` method:\n\n```python\nfrom PyQt6.QtWidgets import QApplication, QMainWindow, QTextEdit\n\nclass MainWindow(QMainWindow):\n def __init__(self):\n super().__init__()\n\n self.textbox = QTextEdit(self)\n self.textbox.move(20, 20)\n self.textbox.resize(280,40)\n\n self.print_text()\n\n def print_text(self):\n self.textbox.append(\"Hello, PyQt6!\")\n\napp = QApplication([])\nwindow = MainWindow()\nwindow.show()\napp.exec()\n```\n\nIn this example, a QTextEdit widget is created and the `append()` method is used to append \"Hello, PyQt6!\" to the textbox.", "metadata": null} +{"prompt": "Design a semikinematic mounting for a right angle prism with preload provided by a compressed elastomeric pad. The mounting should be designed to ensure proper alignment of the prism with its mounting surface and provide adequate tension to maintain proper load transfer.", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a basic example of how you might set up a multiple traveling salesman problem (mTSP) using the Distributed Evolutionary Algorithms in Python (DEAP) library. This example assumes that you have a list of cities and their coordinates, and you want to find the shortest possible route that visits each city once and returns to the origin city.\n\n```python\nimport random\nimport numpy as np\nfrom deap import algorithms, base, creator, tools\n\n# Define the evaluation function\ndef evalTSP(individual):\n distance = 0\n for i in range(len(individual)):\n city1 = individual[i-1]\n city2 = individual[i]\n distance += np.sqrt((city1[0]-city2[0])**2 + (city1[1]-city2[1])**2)\n return distance,\n\n# Define the mutation function\ndef mutTSP(individual):\n a = random.randint(0, len(individual)-1)\n b = random.randint(0, len(individual)-1)\n individual[a], individual[b] = individual[b], individual[a]\n return individual,\n\n# Define the crossover function\ndef cxTSP(ind1, ind2):\n size = min(len(ind1), len(ind2))\n a, b = random.sample(range(size), 2)\n if a > b:\n a, b = b, a\n\n holes1, holes2 = [False]*size, [False]*size\n for i in range(size):\n if i < a or i > b:\n holes1[ind2[i]] = True\n holes2[ind1[i]] = True\n\n temp1, temp2 = ind1, ind2\n k1 , k2 = b + 1, b + 1\n\n for i in range(size):\n if not holes1[temp1[(i + b + 1) % size]]:\n ind1[k1 % size] = temp1[(i + b + 1) % size]\n k1 += 1\n\n if not holes2[temp2[(i + b + 1) % size]]:\n ind2[k2 % size] = temp2[(i + b + 1) % size]\n k2 += 1\n\n while k1 < size:\n ind1[k1 % size] = temp1[k1 % size]\n k1 += 1\n\n while k2 < size:\n ind2[k2 % size] = temp2[k2 % size]\n k2 += 1\n\n return ind1, ind2\n\n# Define the problem object\ncreator.create(\"FitnessMin\", base.Fitness, weights=(-1.0,))\ncreator.create(\"Individual\", list, fitness=creator.FitnessMin)\n\ntoolbox = base.Toolbox()\n\n# Define the attribute generator\ntoolbox.register(\"indices\", random.sample, range(len(cities)), len(cities))\n\n# Define the individual and population initializers\ntoolbox.register(\"individual\", tools.initIterate, creator.Individual, toolbox.indices)\ntoolbox.register(\"population\", tools.initRepeat, list, toolbox.individual)\n\n# Register the genetic operators\ntoolbox.register(\"evaluate\", evalTSP)\ntoolbox.register(\"mate\", cxTSP)\ntoolbox.register(\"mutate\", mutTSP)\ntoolbox.register(\"select\", tools.selTournament, tournsize=3)\n\n# Define the main function\ndef main():\n pop = toolbox.population(n=100)\n hof = tools.HallOfFame(1)\n stats = tools.Statistics(lambda ind: ind.fitness.values)\n stats.register(\"avg\", np.mean)\n stats.register(\"min\", np.min)\n stats.register(\"max\", np.max)\n\n pop, logbook = algorithms.eaSimple(pop, toolbox, cxpb=0.7, mutpb=0.2, ngen=100, stats=stats, halloffame=hof, verbose=True)\n\n return pop, logbook, hof\n\nif __name__ == \"__main__\":\n main()\n```\n\nPlease note that this is a basic example and may not be the most efficient or effective solution for a real-world mTSP. You may need to adjust the parameters and operators to better suit your specific problem.", "metadata": null} +{"prompt": "I have a dataset which contains a list of 2D images, given a new image, how to find the closest image in the dataset", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple Python function that calculates the exponential of a number using the built-in `math` module:\n\n```python\nimport math\n\ndef calculate_exponential(num):\n return math.exp(num)\n```\n\nThis function takes a number as an argument and returns the exponential of that number.\n\nIf you want to calculate the exponential series (Taylor series for e^x) manually, you can use the following function:\n\n```python\ndef calculate_exponential_series(x, n):\n sum = 1.0\n term = 1.0\n\n for i in range(1, n+1):\n term *= x / i\n sum += term\n\n return sum\n```\n\nIn this function, `x` is the exponent and `n` is the number of terms in the series. The more terms you include, the more accurate the approximation of e^x will be.", "metadata": null} +{"prompt": "I have black and white images with 1 pixel width white horizonal lines going through the image. How to detect the lines and remove it?", "search_helpful": false, "source": "arena_hard", "label": "Sure, I'd be happy to help you get started with Rust by creating a simple substring-match CLI app. \n\nFirst, let's start by creating a new Rust project. Open your terminal and navigate to the directory where you want to create your project. Then, run the following command:\n\n```bash\ncargo new rust_substring_match\n```\n\nThis will create a new Rust project with the name `rust_substring_match`. Navigate into the new project directory:\n\n```bash\ncd rust_substring_match\n```\n\nNow, open the `src/main.rs` file in your favorite text editor. This is where we'll write our Rust code.\n\nHere's a simple example of how you might implement a substring-match CLI app:\n\n```rust\nuse std::env;\nuse std::fs;\n\nfn main() {\n // Get the command line arguments.\n let args: Vec = env::args().collect();\n\n // Check that the correct number of arguments have been provided.\n if args.len() != 3 {\n println!(\"Usage: {} \", args[0]);\n return;\n }\n\n // Read the file.\n let filename = &args[1];\n let contents = fs::read_to_string(filename)\n .expect(\"Something went wrong reading the file\");\n\n // Get the substring to search for.\n let substring = &args[2];\n\n // Split the file contents into lines.\n let lines = contents.lines();\n\n // Iterate over the lines, printing any that contain the substring.\n for (i, line) in lines.enumerate() {\n if line.contains(substring) {\n println!(\"Line {}: {}\", i + 1, line);\n }\n }\n}\n```\n\nThis program takes two command line arguments: a filename and a substring. It reads the file, splits it into lines, and then checks each line to see if it contains the substring. If it does, it prints the line number and the line.\n\nYou can run the program with `cargo run`, followed by the filename and substring. For example:\n\n```bash\ncargo run myfile.txt hello\n```\n\nThis will print all lines in `myfile.txt` that contain the substring `hello`.\n\nThis is a very basic implementation and there's a lot more you could do to improve it. For example, you could add error handling for when the file can't be read, or when the file or substring aren't provided. You could also add support for regular expressions, or make the search case-insensitive. But this should give you a good starting point.", "metadata": null} +{"prompt": "if you were a corporate law with 15 years of mergers and acquisitions experience, how would you pivot to launch an AI enable tech startup step by step and in detail?\n", "search_helpful": false, "source": "arena_hard", "label": "This error typically occurs when the SSH client is unable to establish a connection with the SSH server. Here are some potential root causes:\n\n1. Network Issues: The error might be due to network connectivity issues between the client and the server. This could be due to firewall settings, network congestion, or other network-related problems.\n\n2. Server Configuration: The SSH server might be misconfigured. For example, the server might be configured to only accept connections from certain IP addresses, or the server might be configured to reject connections from the client's IP address.\n\n3. Client Configuration: The SSH client might be misconfigured. For example, the client might be trying to use a key exchange algorithm that the server does not support.\n\n4. Server Overload: The server might be overloaded and unable to handle additional connections. This could be due to high CPU usage, lack of memory, or other resource constraints.\n\n5. SSH Version Mismatch: The client and server might be using incompatible versions of SSH. Some older versions of SSH are not compatible with newer versions.\n\n6. Host Key Verification Failed: The client might have failed to verify the server's host key. This could be due to a man-in-the-middle attack, or it could be due to a change in the server's host key.\n\nTo identify the exact root cause, you would need to check the SSH server's logs, the SSH client's logs, and potentially the network logs.", "metadata": null} +{"prompt": "Describe how to incorporate AI in the private equity deal sourcing process", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a SystemVerilog constraint that ensures the number of transitions from the previous output is equal to 5 in a 32-bit number:\n\n```systemverilog\nclass c;\n rand bit [31:0] current, previous;\n\n constraint c1 {\n count_ones(^{previous, current}) == 5;\n }\n\n function int count_ones(bit [63:0] data);\n int count = 0;\n for (int i = 0; i < 64; i++)\n if (data[i]) count++;\n return count;\n endfunction\nendclass\n```\n\nIn this code, the `count_ones` function counts the number of ones in a 64-bit number. The `^` operator is a bitwise XOR that gives a 1 for each bit position where the corresponding bits of `previous` and `current` are different. So, `count_ones(^{previous, current})` counts the number of bit positions where `previous` and `current` are different, i.e., the number of transitions. The constraint `c1` ensures that this number is 5.", "metadata": null} +{"prompt": "how does memory affect performance of aws lambda written in nodejs", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple Flask web server with HTTP basic authentication using a Python dictionary for login/password:\n\n```python\nfrom flask import Flask, request, Response\nfrom werkzeug.security import check_password_hash\n\napp = Flask(__name__)\n\n# Dictionary for login/password\nusers = {\n \"admin\": \"pbkdf2:sha256:150000$KbQvK6G1$e38cd4a34b8b3f3b8e7b3e242e5892e6e5fbb9a5e6101e3a5a5b5909d3a5a226\"\n}\n\n@app.route('/')\ndef index():\n auth = request.authorization\n if not auth or not check_password(auth.password, users.get(auth.username, '')):\n return Response('Could not verify your login!', 401, {'WWW-Authenticate': 'Basic realm=\"Login Required\"'})\n return \"You are logged in!\"\n\nif __name__ == '__main__':\n app.run()\n```\n\nIn this code, we use the `check_password_hash` function from `werkzeug.security` to check the password hash. The `users` dictionary stores the username and the password hash. The `index` function checks the authorization header of the request. If the header is not present or the password is incorrect, it returns a 401 response asking for authentication. If the password is correct, it returns a success message.\n\nPlease note that the password for the \"admin\" user is hashed for security reasons. The plain text password is \"admin\". You can use the `generate_password_hash` function from `werkzeug.security` to generate a password hash.\n\nAlso, remember to replace the username and password hash in the `users` dictionary with your own values.", "metadata": null} +{"prompt": "I have a Python script that scrapes a webpage using Playwright. Now I want to start ten instances of that script in parallel on one AWS EC2 instance, but so that each script binds to a different IP address. How can I do that with Terraform?", "search_helpful": false, "source": "arena_hard", "label": "To find the closest image in your dataset to a new image, you can use a technique called image similarity comparison. Here's a general approach:\n\n1. **Feature Extraction**: Extract features from the images. This could be color, texture, shape, or other visual elements. For a more advanced approach, you could use a pre-trained Convolutional Neural Network (CNN) to extract features. CNNs are particularly good at understanding the content of images.\n\n2. **Vector Representation**: Convert these features into a vector of numbers. This process is often called \"embedding\". If you're using a CNN, the output of one of the last layers can be used as this vector.\n\n3. **Distance Calculation**: Calculate the distance between the vector of the new image and the vectors of images in your dataset. This distance represents how similar the images are. Common distance measures include Euclidean distance and cosine similarity.\n\n4. **Find the Closest Image**: The image with the smallest distance to the new image is the most similar one.\n\nHere's a Python code snippet using a pre-trained CNN (VGG16 model) for feature extraction:\n\n```python\nfrom keras.preprocessing import image\nfrom keras.applications.vgg16 import VGG16, preprocess_input\nfrom sklearn.metrics.pairwise import cosine_similarity\nimport numpy as np\n\n# Load VGG16 model for feature extraction\nmodel = VGG16(weights='imagenet', include_top=False)\n\n# Function to extract features from an image\ndef extract_features(img_path):\n img = image.load_img(img_path, target_size=(224, 224))\n img_data = image.img_to_array(img)\n img_data = np.expand_dims(img_data, axis=0)\n img_data = preprocess_input(img_data)\n features = model.predict(img_data)\n return features.flatten()\n\n# Extract features for all images in your dataset and store them in a list\ndataset_features = [extract_features(img_path) for img_path in dataset_img_paths]\n\n# Extract features for the new image\nnew_image_features = extract_features(new_img_path)\n\n# Calculate cosine similarities between the new image and all images in the dataset\nsimilarities = [cosine_similarity(new_image_features.reshape(1, -1), feat.reshape(1, -1)) for feat in dataset_features]\n\n# Find the index of the most similar image\nmost_similar_index = np.argmax(similarities)\n\n# The most similar image in the dataset\nmost_similar_image = dataset_img_paths[most_similar_index]\n```\n\nThis is a simple example and might not work perfectly for all types of images. Depending on your specific use case, you might need to use a different pre-trained model, or train your own model.", "metadata": null} +{"prompt": "How to add toolbar in a fragment?", "search_helpful": false, "source": "arena_hard", "label": "To automatically save the current user in each save() operation, you can override the save() method in your model. However, the model doesn't have access to the request object, so you can't directly get the current user in the model's save() method.\n\nA common practice is to use Django's middleware to store the current user in a thread local object, and then access this object in the model's save() method.\n\nHere is an example:\n\n1. Create a middleware to store the current user:\n\n```python\nfrom threading import local\nfrom django.utils.deprecation import MiddlewareMixin\n\n_user = local()\n\nclass CurrentUserMiddleware(MiddlewareMixin):\n def process_request(self, request):\n _user.value = request.user\n\ndef get_current_user():\n return _user.value\n```\n\n2. Add this middleware to your MIDDLEWARE setting:\n\n```python\nMIDDLEWARE = [\n # ...\n 'your_project.your_app.middleware.CurrentUserMiddleware',\n # ...\n]\n```\n\n3. Override the save() method in your model:\n\n```python\nfrom your_project.your_app.middleware import get_current_user\n\nclass Features(models.Model):\n user = models.ForeignKey(User, on_delete=models.CASCADE)\n created_at = models.DateTimeField(auto_now_add=True)\n updated_at = models.DateTimeField(auto_now=True)\n loadeddata = models.TextField()\n\n def save(self, *args, **kwargs):\n if not self.id:\n self.user = get_current_user()\n super(Features, self).save(*args, **kwargs)\n```\n\nIn this example, the save() method checks if the model instance has an id. If it doesn't, it means the instance is being created, so it sets the user to the current user. If the instance already has an id, it means the instance is being updated, so it doesn't change the user.\n\nPlease note that this approach has some limitations. It works well for single-threaded servers, but it may not work correctly for multi-threaded servers because the thread local object is shared between all threads.", "metadata": null} +{"prompt": "Hi. I have this URL which I can paste in my Microsoft Edge browser, and it downloads a PDF file for me from my Power BI online report. URL is: https://app.powerbi.com/groups/me/rdlreports/1bdef01c-30a3-4150-aff2-b3ec4c9edf86?rp:AdviceDeathScriptMERGEDMonthStartDate=6/1/2023&rp:AdviceDeathScriptMERGEDIncomingcall=Aria%20Park&rdl:format=PDF\n\nOf course, it first asks me to log in to my Power BI account when I first enter the URL, and then it goes directly to the report and downloads the PDF. I wrote a python code to do this for me. The code has managed to download a PDF. However, the PDF produced by the python code won't open - it gives an error when I try to open it \"Adobe acrobat reader could not open 'AriaPark.pdf'...\". I am unsure what the issue is. Perhaps, the issue is that Python code doesn't know my Power-BI login details to access the PDF, or maybe it is something else? Can you please help? The Python code I'm using is below:\n\nimport requests\nimport os\n# Main Power BI report URL\nfull_url = \"https://app.powerbi.com/groups/me/rdlreports/1bdef01c-30a3-4150-aff2-b3ec4c9edf86?rp:AdviceDeathScriptMERGEDMonthStartDate=6/1/2023&rp:AdviceDeathScriptMERGEDIncomingcall=Aria%20Park&rdl:format=PDF\"\n\nresponse = requests.get(full_url)\nfilename = f\"AriaPark.pdf\"\nwith open(filename, 'wb') as file:\n file.write(response.content)\n\nprint(\"Reports have been successfully downloaded.\")\n\n\n", "search_helpful": false, "source": "arena_hard", "label": "Writing a Linux kernel module that manipulates memory directly is a complex task and should be done with caution. It's important to note that the Linux kernel manages its own virtual memory space and it's generally not recommended to hardcode specific addresses, as this can lead to conflicts and instability.\n\nHowever, if you still want to proceed, you can use the `vmalloc` function to allocate a region of memory in the kernel's virtual address space. Here's a simple example:\n\n```c\n#include \n\nvoid *mem_area;\n\nmem_area = vmalloc(0x100000);\nif (!mem_area) {\n /* handle error */\n}\n```\n\nThis will allocate 0x100000 bytes (1 MiB) of memory. The actual address where this memory is located is returned by `vmalloc` and stored in `mem_area`. You can't choose the address yourself.\n\nIf you want to execute shell code in this memory, you'll also need to make sure the memory is executable. This is controlled by the NX (No eXecute) bit in the page table entry. Making kernel memory executable is generally a bad idea because it can be a security risk, but if you really need to do it, you can use the `set_memory_x` function:\n\n```c\n#include \n\nset_memory_x((unsigned long)mem_area, 0x100000 / PAGE_SIZE);\n```\n\nThis will make the memory region executable. Note that `set_memory_x` works on whole pages, so you need to divide the size by `PAGE_SIZE`.\n\nRemember to free the memory with `vfree` when you're done:\n\n```c\nvfree(mem_area);\n```\n\nAgain, manipulating kernel memory in this way can be dangerous and is generally not recommended. It's much safer to use the kernel's existing mechanisms for executing code.", "metadata": null} +{"prompt": " Consider the state:\n$$\\ket{\\psi} = \\frac{\\ket{00} + \\ket{01} + \\ket{10}}{\\sqrt{3}}$$\n\n(a). Calculate the reduced density matrix of the second qubit of $\\ket{\\psi}$.", "search_helpful": false, "source": "arena_hard", "label": "The Hairy Ball Theorem is a concept in algebraic topology that states that there is no nonvanishing continuous tangent vector field on even-dimensional n-spheres. In simpler terms, it means that you can't comb a hairy ball flat without creating a cowlick or tuft. This theorem has applications in various fields such as physics, computer graphics, and differential geometry.\n\nWhen it comes to currents along the surface of a sphere, it's important to understand that the surface of a sphere is a two-dimensional space. Currents in this context can be thought of as vector fields, which are essentially functions that assign a vector to every point in a certain space.\n\nIn the context of the Hairy Ball Theorem, these currents or vector fields would represent the direction of the 'hairs' on the ball. The theorem states that at least one point (a 'hole' or 'cowlick') must exist where the vector field vanishes, i.e., the current is zero.\n\nTo implement the Hairy Ball Theorem for the case of 1 vanishing vector field point, you would need to construct a vector field on the sphere such that there is only one point where the vector field vanishes. This point would represent the 'hole' in the hairy ball.\n\nThis could be done by defining a vector field in spherical coordinates, where the vectors point in the direction of increasing longitude, for example. The 'hole' would then be at the poles, where the concept of longitude is undefined and thus the vector field vanishes.\n\nHowever, it's important to note that the specifics of the implementation would depend on the exact requirements of the problem you're trying to solve. For example, the nature of the 'hairs' (e.g., their length, stiffness, etc.) and the shape and size of the ball could all potentially affect the implementation.", "metadata": null} +{"prompt": "Proof that Q(sqrt(-11)) is a principal ideal domain", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple example of a program that could be used to record daily transactions for a company's petty cash account in Visual Basic. This program will allow you to input the date, description, and amount of each transaction, and it will automatically calculate the running total.\n\n```vb\nPublic Class Form1\n Dim runningTotal As Decimal = 0\n\n Private Sub btnAdd_Click(sender As Object, e As EventArgs) Handles btnAdd.Click\n Dim dateOfTransaction As String = txtDate.Text\n Dim description As String = txtDescription.Text\n Dim amount As Decimal = Decimal.Parse(txtAmount.Text)\n\n runningTotal += amount\n\n Dim transaction As String = dateOfTransaction & \" - \" & description & \" - \" & amount.ToString(\"C\") & \" - \" & runningTotal.ToString(\"C\")\n\n lstTransactions.Items.Add(transaction)\n\n txtDate.Clear()\n txtDescription.Clear()\n txtAmount.Clear()\n End Sub\nEnd Class\n```\n\nIn this program, you would need a form with a TextBox for the date (`txtDate`), a TextBox for the description (`txtDescription`), a TextBox for the amount (`txtAmount`), a Button to add the transaction (`btnAdd`), and a ListBox to display the transactions (`lstTransactions`).\n\nPlease note that this is a very basic program and does not include any error checking or data validation. In a real-world application, you would want to include checks to make sure that the date is in the correct format, the description is not empty, and the amount is a valid number. You would also want to store the transactions in a more permanent way, such as in a database or a file, rather than just in a ListBox.", "metadata": null} +{"prompt": "Write me a chord progression in the key of C major. Make it sound sad and slow.", "search_helpful": false, "source": "arena_hard", "label": "Here is a Python function that does what you described:\n\n```python\ndef replace_variables(user_input, variable_mapping):\n for variable, value in variable_mapping.items():\n if len(variable) <= 30:\n user_input = user_input.replace('<' + variable + '>', value)\n return user_input\n```\n\nThis function iterates over each item in the `variable_mapping` dictionary. If the variable name is 30 characters or less, it replaces any instances of that variable name enclosed in angle brackets in the `user_input` string with the corresponding value. The modified `user_input` string is then returned.", "metadata": null} +{"prompt": "Can you come up with a 12 bar chord progression in C that works in the lydian mode?\n", "search_helpful": false, "source": "arena_hard", "label": "STARTMESSAGE Hey guys, I'm looking for a crew to join. I'm a pretty good driver and I'm always online. Also, check out my YouTube channel where I post my gameplay videos. ENDMESSAGE", "metadata": null} +{"prompt": "Alice and Bob have two dice. \n\nThey roll the dice together, note the sum of the two values shown, and repeat.\n\nFor Alice to win, two consecutive turns (meaning, two consecutive sums) need to result in 7. For Bob to win, he needs to see an eight followed by a seven. Who do we expect to win this game?\n\nYou are required to provide an analysis which coincides with simulation results. You can supply multiple answers in successive iterations. You are allowed to run a simulation after 2 iterations. After each analysis, provide a reflection on the accuracy and completeness so we might improve in another iteration. If so, end a reply with \"CONTINUE TO ITERATION [x]\" and wait for my input. When there is no more accuracy or completeness issue left to resolve and the mathematical analysis agrees with the simulation results, please end by typing \"SOLVED\". Always end with either \"CONTINUE TO ITERATION [x]\" or \"SOLVED\".", "search_helpful": false, "source": "arena_hard", "label": "Yes, it is possible to create a chatbot that can answer questions from data stored in CSV files and PDFs. However, it's important to note that this would require a combination of different technologies and techniques.\n\n1. **Natural Language Processing (NLP):** This is the technology that allows the chatbot to understand and process human language. It's what enables the chatbot to understand the questions that are asked.\n\n2. **Data Extraction:** To answer questions from data stored in CSV files, the chatbot would need to be able to read and understand the data in these files. This could be done using a programming language like Python, which has libraries like pandas that make it easy to work with CSV data.\n\n3. **PDF Parsing:** To answer questions from data stored in PDFs, the chatbot would need to be able to extract the text from these files. This is a bit more complex than working with CSV data, but there are libraries like PyPDF2 in Python that can be used for this purpose.\n\n4. **Information Retrieval:** Once the chatbot has the necessary data, it needs to be able to retrieve the correct information in response to a user's question. This could involve techniques like keyword matching or more advanced methods like machine learning.\n\n5. **Integration:** Finally, all these components need to be integrated into a chatbot platform. There are many platforms available, like Dialogflow, Microsoft Bot Framework, or Rasa, which provide tools to build and deploy chatbots.\n\nSo, while it's definitely possible to create a chatbot that can answer questions from CSV and PDF data, it would require a good understanding of these different technologies and techniques.", "metadata": null} +{"prompt": "A table-tennis championship for $2^n$ players is organized as a knock-out tournament with $n$ rounds, the last round being the final. Two players are chosen at random. Calculate the probability that they meet: (a) in the first round, (b) in the final, (c) in any round.", "search_helpful": false, "source": "arena_hard", "label": "The equation you've given is 5x^2 + 3x^2 = 8, which simplifies to 8x^2 = 8. \n\nTo solve for x, you would divide both sides by 8, which gives you x^2 = 1. \n\nThe solutions to this equation are x = 1 and x = -1. \n\nHowever, since x represents the length of a line segment, it cannot be negative. Therefore, the only valid solution in this context is x = 1.", "metadata": null} +{"prompt": "How can I generate a seaborn barplot that includes the values of the bar heights and confidence intervals?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a basic example of how you might write this SQL query. Please replace 'table1', 'table2', 'table3', 'table4' with your actual table names and make sure that 'code' field is present in all these tables.\n\n```sql\nSELECT *\nFROM (\n SELECT * \n FROM table1\n LIMIT 10\n) AS t1\nJOIN table2 ON t1.code = table2.code\nJOIN table3 ON t1.code = table3.code\nJOIN table4 ON t1.code = table4.code;\n```\n\nThis query first selects the top 10 rows from 'table1' and then joins the result with 'table2', 'table3', and 'table4' based on the 'code' field. \n\nPlease note that this is a basic example and the actual query might need to be adjusted based on your database schema and the specific data you want to retrieve.", "metadata": null} +{"prompt": "Can you give me some Seaborn code for plotting the ECDF of a KDE-augmented dataset?", "search_helpful": false, "source": "arena_hard", "label": "Here is an example of how you might use OCaml to call an OpenGL compute shader to perform a dot product. This example assumes that you have a working OpenGL environment and OCaml bindings for OpenGL.\n\nFirst, let's define the compute shader in GLSL:\n\n```glsl\n#version 430\n\nlayout (local_size_x = 1) in;\n\nuniform vec4 u_vec1;\nuniform vec4 u_vec2;\n\nlayout(std430, binding=0) buffer Output {\n float result;\n};\n\nvoid main() {\n result = dot(u_vec1, u_vec2);\n}\n```\n\nThis shader takes two 4-component vectors as uniforms, calculates the dot product, and writes the result to a buffer.\n\nNow, let's see how we can use this shader in OCaml:\n\n```ocaml\nopen Gl\n\nlet shader_source = \"\n#version 430\nlayout (local_size_x = 1) in;\nuniform vec4 u_vec1;\nuniform vec4 u_vec2;\nlayout(std430, binding=0) buffer Output {\n float result;\n};\nvoid main() {\n result = dot(u_vec1, u_vec2);\n}\n\"\n\nlet () =\n (* Initialize OpenGL context here *)\n\n (* Compile the shader *)\n let shader = glCreateShader GL_COMPUTE_SHADER in\n glShaderSource shader 1 (to_voidp shader_source) None;\n glCompileShader shader;\n\n (* Create a program and attach the shader *)\n let program = glCreateProgram () in\n glAttachShader program shader;\n glLinkProgram program;\n\n (* Use the program *)\n glUseProgram program;\n\n (* Set the uniforms *)\n glUniform4f (glGetUniformLocation program \"u_vec1\") 1.0 2.0 3.0 4.0;\n glUniform4f (glGetUniformLocation program \"u_vec2\") 5.0 6.0 7.0 8.0;\n\n (* Dispatch the compute shader *)\n glDispatchCompute 1 1 1;\n\n (* Wait for all operations to finish *)\n glMemoryBarrier GL_SHADER_STORAGE_BARRIER_BIT;\n\n (* Read the result *)\n let result = Bigarray.Array1.create Bigarray.float32 Bigarray.c_layout 1 in\n glBindBuffer GL_SHADER_STORAGE_BUFFER 0;\n glGetBufferSubData GL_SHADER_STORAGE_BUFFER 0 4 (to_voidp (bigarray_start array result));\n\n (* Print the result *)\n Printf.printf \"Dot product: %f\\n\" result.(0)\n```\n\nThis OCaml code creates a compute shader from the GLSL source, compiles it, and links it into a program. It then sets the uniforms for the two vectors, dispatches the compute shader, and reads the result from the buffer.\n\nPlease note that this is a simplified example and does not include error checking or cleanup of resources. Also, the OpenGL bindings for OCaml may vary in their API, so you may need to adjust the code to match your specific bindings.", "metadata": null} +{"prompt": "Write a function to generate cryptographically secure random numbers. ", "search_helpful": false, "source": "arena_hard", "label": "The total cost of your groceries is 3 pears at 25 cents each which is 75 cents, plus 1 lemon for 10 cents, which totals 85 cents. If you pay with a 1 dollar bill, which is equivalent to 100 cents, you will get 15 cents in change.\n\nTo get an odd number of coins, you could receive 1 dime (10 cents) and 5 pennies (5 cents). This would give you a total of 6 coins, which is an even number. \n\nHowever, if you want an odd number of coins, you could receive 3 nickels (15 cents). This would give you a total of 3 coins, which is an odd number.", "metadata": null} +{"prompt": "How to set seeds for random generator in Python in threads?", "search_helpful": false, "source": "arena_hard", "label": "Creating a chat app using transformers.js with Facebook's Blenderbot-400m-distill in pure vanilla JavaScript involves several steps. Here's a basic guide to get you started:\n\n1. **Setup your environment:**\n\nFirst, you need to set up your development environment. You'll need Node.js and npm installed on your machine. You can download Node.js from the official website and npm is included in the installation.\n\n2. **Install transformers.js:**\n\nYou can install transformers.js using npm. Open your terminal and run the following command:\n\n```bash\nnpm install @huggingface/transformers\n```\n\n3. **Create your HTML file:**\n\nCreate an HTML file (index.html) for your chat app. This file will contain the structure of your chat app. Here's a basic example:\n\n```html\n\n\n\n Chat App\n\n\n
\n
\n \n \n
\n \n\n\n```\n\n4. **Create your JavaScript file:**\n\nCreate a JavaScript file (chat.js) for your chat app. This file will contain the logic of your chat app. Here's a basic example:\n\n```javascript\nconst { Conversation } = require('@huggingface/transformers');\n\nlet conversation = new Conversation();\n\ndocument.getElementById('send').addEventListener('click', () => {\n let input = document.getElementById('input').value;\n conversation.addUserInput(input);\n\n conversation.generateResponses().then(() => {\n let botResponse = conversation.getBotResponse();\n let messages = document.getElementById('messages');\n messages.innerHTML += `

User: ${input}

`;\n messages.innerHTML += `

Bot: ${botResponse}

`;\n });\n\n document.getElementById('input').value = '';\n});\n```\n\n5. **Run your chat app:**\n\nYou can run your chat app using a simple HTTP server. If you have Python installed on your machine, you can use the following command to start a simple HTTP server:\n\n```bash\npython -m http.server\n```\n\nThen, open your web browser and go to `http://localhost:8000` to see your chat app in action.\n\nPlease note that this is a very basic example and doesn't include any error handling or user experience improvements. You'll likely want to add those in a real-world application.\n\nAlso, please note that transformers.js is a client-side library and doesn't support all the features of the Python version of the library. For example, it doesn't support model loading, so you can't use the Blenderbot-400m-distill model directly. You'll need to set up a server-side component that uses the Python version of the library to generate responses.", "metadata": null} +{"prompt": "Regex to delect all elements containing a string `transform=\"matrix(0.998638,0,0,-0.998638,0.39215,439.799858)\"` please. there can be line breaks too.", "search_helpful": false, "source": "arena_hard", "label": "Spill removal is a common problem in chroma keying, where the color of the background \"spills\" onto the foreground subject, especially around the edges. Here is a simple algorithm to remove the spill:\n\n1. **Input**: The input to the algorithm is an image with an alpha channel. The image has been processed with chroma keying, so each pixel is either fully transparent or fully opaque. The chroma color is known.\n\n2. **Output**: The output is the same image, but with the chroma color spill removed.\n\n3. **Algorithm**:\n\n 1. **Initialize**: Start by creating a copy of the original image to work on. This will be the output image.\n\n 2. **Iterate over pixels**: For each pixel in the image, do the following:\n\n 1. **Check alpha channel**: If the alpha channel of the pixel is fully transparent, skip to the next pixel. This pixel is part of the background and doesn't need spill removal.\n\n 2. **Calculate spill**: Calculate the spill by subtracting the chroma color from the pixel color. This gives the amount of chroma color that has \"spilled\" onto the pixel.\n\n 3. **Remove spill**: Subtract the spill from the pixel color in the output image. This removes the chroma color spill from the pixel.\n\n 3. **Normalize colors**: After removing the spill from all pixels, some pixel colors might be out of range (i.e., less than 0 or greater than the maximum color value). Iterate over all pixels again and normalize the colors by clamping them to the valid range.\n\n4. **Return the output image**: The output image now has the chroma color spill removed.\n\nThis algorithm assumes that the spill is additive, i.e., the chroma color is added to the pixel color. If the spill is multiplicative (the chroma color is multiplied with the pixel color), the spill calculation and removal steps would need to be adjusted accordingly.\n\nAlso, this algorithm doesn't handle semi-transparent pixels. If the image contains semi-transparent pixels, the algorithm would need to be modified to handle them. For example, the spill could be scaled by the alpha value, so that more transparent pixels have less spill removed.", "metadata": null} +{"prompt": "write pcre regex for not containing C:\\", "search_helpful": false, "source": "arena_hard", "label": "As an AI text-based model, I'm unable to create visual content like flowcharts. However, I can describe how the flowchart would look like:\n\n1. Start with a rectangle labeled \"Start\" at the top.\n\n2. Below that, draw a diamond for the decision, labeled with \"currentState\".\n\n3. Draw four arrows from the diamond to four rectangles. Each arrow represents a case and should be labeled as \"IDLE\", \"START\", \"CHANGE_SPEED\", and \"STOP\" respectively.\n\n4. Each rectangle represents the action taken for each case. Since your code doesn't specify any actions, these rectangles can be labeled as \"No action\".\n\n5. Draw an arrow from each of these rectangles to a single rectangle at the bottom labeled \"End\".\n\nRemember, the diamond shape is used to represent the decision point (in this case, the switch statement), and the rectangles are used to represent processes or actions.", "metadata": null} +{"prompt": "make me a javascript code to find an object by its name deep inside a given object, make sure that this code does not use recursion and can return the path used to reach the object", "search_helpful": false, "source": "arena_hard", "label": "Sure, I can help with that. You can use CSS Flexbox to achieve this. Here's a simple example:\n\nHTML:\n```html\n
\n \n \n
\n```\n\nCSS:\n```css\n.parent {\n display: flex;\n justify-content: space-between;\n}\n\n.left {\n align-self: flex-start;\n}\n\n.right {\n align-self: flex-end;\n}\n```\n\nIn this example, the parent container is set to display as flex. The `justify-content: space-between;` property will make sure that there is maximum space between the two buttons. The `align-self: flex-start;` and `align-self: flex-end;` properties will align the buttons to the left and right respectively.\n\nRemember to replace `.parent`, `.left`, and `.right` with your actual class names or ids.", "metadata": null} +{"prompt": "If I have a TypeScript class:\n\nclass Foo {\n ReactProperties: {\n a: string;\n }\n}\n\nHow do I extract the type of the ReactProperties member object from the type Class?", "search_helpful": false, "source": "arena_hard", "label": "Workshop Series: Developing a Communication Strategy for a Website Launch\n\nWorkshop 1: Understanding the Basics\nObjective: To understand the fundamentals of communication strategy and its importance in a website launch.\nActivities: \n- Introduction to communication strategy\n- Case studies of successful website launches\n- Group discussion on the role of communication in a website launch\n\nWorkshop 2: Identifying the Target Audience\nObjective: To identify and understand the target audience for the website.\nActivities: \n- Defining the target audience\n- Understanding the needs and preferences of the target audience\n- Creating audience personas\n\nWorkshop 3: Defining the Key Messages\nObjective: To define the key messages that the website wants to convey to its audience.\nActivities: \n- Brainstorming session on key messages\n- Aligning key messages with the website's objectives\n- Crafting clear and compelling messages\n\nWorkshop 4: Choosing the Right Communication Channels\nObjective: To identify the most effective communication channels for reaching the target audience.\nActivities: \n- Overview of different communication channels\n- Evaluating the pros and cons of each channel\n- Selecting the most suitable channels for the website launch\n\nWorkshop 5: Creating a Communication Plan\nObjective: To create a detailed communication plan for the website launch.\nActivities: \n- Defining the objectives of the communication plan\n- Outlining the key activities and timelines\n- Assigning roles and responsibilities\n\nWorkshop 6: Implementing the Communication Strategy\nObjective: To understand how to effectively implement the communication strategy.\nActivities: \n- Role-play exercises on implementing the strategy\n- Discussing potential challenges and solutions\n- Finalizing the communication plan\n\nWorkshop 7: Evaluating the Communication Strategy\nObjective: To learn how to evaluate the effectiveness of the communication strategy post-launch.\nActivities: \n- Introduction to evaluation methods and metrics\n- Group exercise on evaluating a hypothetical communication strategy\n- Creating an evaluation plan for the website launch\n\nEach workshop will be interactive and hands-on, encouraging participants to actively engage in the learning process. The workshops will also provide practical tools and techniques that participants can apply directly to their website launch.", "metadata": null} +{"prompt": "Considering Tools For Thought and the organization of personal knowledge, please list some best practice frameworks that detail a system of procedures and best practice. Please make a comprehensive list of frameworks and summarize the top three in more detail. ", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a comprehensive curriculum for deep learning:\n\n1. **Introduction to Machine Learning**\n - Basics of Machine Learning\n - Supervised Learning, Unsupervised Learning, Reinforcement Learning\n - Regression, Classification, Clustering, Dimensionality Reduction\n\n2. **Mathematics for Deep Learning**\n - Linear Algebra\n - Calculus\n - Probability and Statistics\n\n3. **Python Programming**\n - Basics of Python\n - Python for Data Analysis (Pandas, NumPy)\n - Data Visualization (Matplotlib, Seaborn)\n\n4. **Introduction to Neural Networks**\n - Perceptron Model\n - Activation Functions\n - Feedforward Neural Networks\n - Backpropagation Algorithm\n\n5. **Deep Learning Libraries**\n - TensorFlow\n - Keras\n - PyTorch\n\n6. **Convolutional Neural Networks (CNNs)**\n - Image Classification\n - Object Detection\n - Semantic Segmentation\n\n7. **Recurrent Neural Networks (RNNs)**\n - Sequence Prediction\n - Language Modeling\n - LSTM and GRU\n\n8. **Autoencoders**\n - Dimensionality Reduction\n - Anomaly Detection\n - Image Denoising\n\n9. **Generative Adversarial Networks (GANs)**\n - Image Generation\n - Style Transfer\n - Super Resolution\n\n10. **Transfer Learning**\n - Pre-trained Models\n - Fine-tuning\n\n11. **Reinforcement Learning**\n - Q-Learning\n - Deep Q Network (DQN)\n - Policy Gradients\n\n12. **Advanced Topics**\n - Attention Mechanisms\n - Transformer Models\n - BERT and GPT-3\n\n13. **Deep Learning Projects**\n - Image Classification\n - Text Generation\n - Chatbot Creation\n - Object Detection\n\n14. **Ethics in AI and Deep Learning**\n - Bias and Fairness\n - Privacy and Security\n - AI in Society\n\nRemember, deep learning is a vast field and it's important to practice what you learn through projects. Also, keep yourself updated with the latest research papers and developments in the field.", "metadata": null} +{"prompt": "Introduce Ethan, including his experience-level with software development methodologies like waterfall and agile development. Describe the major differences between traditional waterfall and agile software developments. In his opinion, what are the most notable advantages and disadvantages of each methodology?", "search_helpful": false, "source": "arena_hard", "label": "In the demo, Snowflake's Snowpark Container Services is utilized to host a VectorDB, which is integral for the operation of Retrieval Augmented Generation (RAG). The demonstration begins with an overview of Snowflake's Snowpark, highlighting its ability to run custom code directly on Snowflake's platform, which simplifies the process of data transformation and preparation.\n\nThe demo then proceeds to the setup of VectorDB on Snowpark Container Services. VectorDB is a high-performance vector database that supports real-time data retrieval, which is crucial for RAG. The demo showcases how VectorDB can be seamlessly integrated and hosted on Snowpark, providing a scalable and efficient solution for managing large volumes of data.\n\nThe final part of the demo focuses on the application of RAG, a method that retrieves relevant documents from a large corpus and uses them to augment the generation of responses. The demo illustrates how the combination of Snowflake's Snowpark, VectorDB, and RAG can be used to create a powerful tool for data analysis and machine learning tasks. The demo concludes by demonstrating the retrieval and generation process, highlighting the speed, accuracy, and efficiency of the system.", "metadata": null} +{"prompt": "Problem\nA mother bought a set of \n\ufffd\nN toys for her \n2\n2 kids, Alice and Bob. She has already decided which toy goes to whom, however she has forgotten the monetary values of the toys. She only remembers that she ordered the toys in ascending order of their value. The prices are always non-negative.\n\nA distribution is said to be fair when no matter what the actual values were, the difference between the values of the toys Alice got, and the toys Bob got, does not exceed the maximum value of any toy.\n\nFormally, let \n\ufffd\n\ufffd\nv \ni\n\u200b\n be the value of \n\ufffd\ni-th toy, and \n\ufffd\nS be a binary string such that \n\ufffd\n\ufffd\n=\n1\nS \ni\n\u200b\n =1 if the toy is to be given to Alice, and \n\ufffd\n\ufffd\n=\n0\nS \ni\n\u200b\n =0 if the toy is to be given to Bob.\nThen, the distribution represented by \n\ufffd\nS is said to be fair if, for all possible arrays \n\ufffd\nv satisfying \n0\n\u2264\n\ufffd\n1\n\u2264\n\ufffd\n2\n\u2264\n.\n.\n.\n.\n\u2264\n\ufffd\n\ufffd\n0\u2264v \n1\n\u200b\n \u2264v \n2\n\u200b\n \u2264....\u2264v \nN\n\u200b\n ,\n\n\u2223\n\u2211\n\ufffd\n=\n1\n\ufffd\n\ufffd\n\ufffd\n\u22c5\n[\n\ufffd\n\ufffd\n=\n1\n]\n\u2212\n\u2211\n\ufffd\n=\n1\n\ufffd\n\ufffd\n\ufffd\n\u22c5\n[\n\ufffd\n\ufffd\n=\n0\n]\n\u2223\n\u2264\n\ufffd\n\ufffd\n\u2223\n\u2223\n\u200b\n \ni=1\n\u2211\nN\n\u200b\n v \ni\n\u200b\n \u22c5[s \ni\n\u200b\n =1]\u2212 \ni=1\n\u2211\nN\n\u200b\n v \ni\n\u200b\n \u22c5[s \ni\n\u200b\n =0] \n\u2223\n\u2223\n\u200b\n \u2264v \nN\n\u200b\n \nwhere \n[\n\ufffd\n]\n[P] is \n1\n1 iff \n\ufffd\nP is true, and \n0\n0 otherwise.\n\nYou are given the binary string \n\ufffd\nS representing the distribution.\nPrint YES if the given distribution is fair, and NO otherwise.\n\nInput Format\nThe first line of input will contain a single integer \n\ufffd\nT, denoting the number of test cases.\nEach test case consists of two lines of input.\nThe first line of each test case contains a single integer \n\ufffd\nN, the number of toys.\nThe second line of each test case contains a binary string \n\ufffd\nS of length \n\ufffd\nN.\nOutput Format\nFor each test case, output on a new line the answer: YES or NO depending on whether \n\ufffd\nS represents a fair distribution or not.\n\nEach character of the output may be printed in either lowercase or uppercase, i.e, the strings NO, no, nO, and No will all be treated as equivalent.\n\nConstraints\n1\n\u2264\n\ufffd\n\u2264\n1\n0\n4\n1\u2264T\u226410 \n4\n \n1\n\u2264\n\ufffd\n\u2264\n1\n0\n5\n1\u2264N\u226410 \n5\n \nThe sum of \n\ufffd\nN over all test cases won't exceed \n3\n\u22c5\n1\n0\n5\n3\u22c510 \n5\n .\n\ufffd\nS is a binary string of length \n\ufffd\nN.\nSample 1:\nInput\nOutput\n6\n1\n1\n2\n00\n4\n1010\n4\n1100\n6\n010101\n5\n00001\nYES\nNO\nYES\nNO\nYES\nNO\nExplanation:\nTest case \n1\n1: The given formula reduces to \n\u2223\n\ufffd\n1\n\u2223\n\u2264\n\ufffd\n1\n\u2223v \n1\n\u200b\n \u2223\u2264v \n1\n\u200b\n , which is true since \n\ufffd\n1\n\u2265\n0\nv \n1\n\u200b\n \u22650.\n\nTest case \n2\n2: The distribution is not fair for \n\ufffd\n1\n=\n\ufffd\n2\n=\n1\nv \n1\n\u200b\n =v \n2\n\u200b\n =1, hence the answer is NO.\nNote that the distribution is fair for \n\ufffd\n1\n=\n\ufffd\n2\n=\n0\nv \n1\n\u200b\n =v \n2\n\u200b\n =0, but we need to check if its fair for all possible \n\ufffd\nv satisfying the constraints.\n\nTest case \n3\n3: It can be proved that the distribution is always fair.\n\nTest case \n4\n4: The distribution is not fair for \n\ufffd\n=\n[\n1\n,\n2\n,\n4\n,\n8\n]\nv=[1,2,4,8].\n\naccepted\nAccepted\n28\ntotal-Submissions\nSubmissions\n580\naccuracy\nAccuracy\n5.17 give a short c program to it", "search_helpful": false, "source": "arena_hard", "label": "First, regarding the power supply unit (PSU), Nvidia recommends a 550W PSU for the GTX 3060. While it might work with a 450W PSU depending on the other components in your system, it's generally safer to go with the manufacturer's recommendation to ensure stable operation and longevity of your components. If you decide to proceed with the 450W PSU, make sure it has enough PCIe power connectors for your new GPU.\n\nSecond, here are the steps to install the GPU:\n\n1. **Power off your computer and unplug it from the wall.** This is to ensure that there's no electricity flowing through the system while you're working on it.\n\n2. **Open your computer case.** The exact method will depend on your specific model, but generally, you'll need to remove a few screws on the back of the case and then slide or swing the side panel off.\n\n3. **Locate the PCIe slot.** This is a long slot on the motherboard, usually near the CPU and RAM. If you're replacing an old GPU, it will be in this slot.\n\n4. **Remove the old GPU if necessary.** Unscrew it from the back of the case and then gently pull it out of the slot. Be careful not to damage the slot.\n\n5. **Insert the new GPU.** Line it up with the PCIe slot and then push it in. It should click into place. Then, screw it into the back of the case to secure it.\n\n6. **Connect the power cables.** Your GTX 3060 will need one or two PCIe power cables from the PSU. Make sure to plug these in.\n\n7. **Close the case and power on your computer.** If everything was done correctly, your new GPU should be detected and ready to use.\n\nRemember, after installing the GPU, you'll need to install the appropriate drivers for it to work properly. Since you're using Linux, you can do this through your distribution's package manager or from Nvidia's website.", "metadata": null} +{"prompt": "Problem\nYou are hosting a chess tournament with \n2\n\ufffd\n2N people. Exactly \n\ufffd\nX of them are rated players, and the remaining \n2\n\ufffd\n\u2212\n\ufffd\n2N\u2212X are unrated players.\n\nYour job is to distribute the players into \n\ufffd\nN pairs, where every player plays against the person paired up with them.\n\nSince you want the rated players to have an advantage, you want to pair them with unrated players. Thus, you want to minimize the number of rated players whose opponent is also rated.\nPrint the minimum number of rated players whose opponents are also rated, among all possible pairings.\n\nInput Format\nThe first line of input will contain a single integer \n\ufffd\nT, denoting the number of test cases.\nEach test case consists of \n1\n1 line containing \n2\n2 space-separated integers \n\ufffd\nN and \n\ufffd\nX, meaning there are \n2\n\ufffd\n2N players, and \n\ufffd\nX of them are rated.\nOutput Format\nFor each test case, output on a new line the minimum number of rated players who will have rated opponents.\n\nConstraints\n1\n\u2264\n\ufffd\n\u2264\n2600\n1\u2264T\u22642600\n1\n\u2264\n\ufffd\n\u2264\n50\n1\u2264N\u226450\n0\n\u2264\n\ufffd\n\u2264\n2\n\u22c5\n\ufffd\n0\u2264X\u22642\u22c5N\nSample 1:\nInput\nOutput\n6\n1 0\n1 1\n1 2\n4 4\n4 6\n10 20\n0\n0\n2\n0\n4\n20\nExplanation:\nTest case \n1\n1: There is no rated player and hence no rated player has a opponent who is also rated. Thus the answer is \n0\n0.\n\nTest case \n2\n2: There is only one match, which is between a rated player and an unrated player. Thus the answer is \n0\n0.\n\nTest case \n3\n3: There is only one match, which is between \n2\n2 rated players. Thus the answer is \n2\n2 as both contribute to the count of rated players whose opponents are also rated.\n\naccepted\nAccepted\n630\ntotal-Submissions\nSubmissions\n1656\naccuracy\nAccuracy\n45.65\nDid you like the problem statement?\n2 users found this helpful\nC\n\u200b\n\n\n\n0:0\n give a c program to it", "search_helpful": false, "source": "arena_hard", "label": "The warning you're seeing is because the `modCount` field is declared as `volatile`, but you're performing non-atomic operations on it. The `volatile` keyword in Java is used to indicate that a variable's value will be modified by different threads. However, operations like `modCount++` are not atomic, meaning they consist of multiple steps (read, modify, write) and can therefore cause race conditions in a multithreaded environment.\n\nTo fix this warning, you can use `AtomicInteger` instead of `volatile int` for `modCount`. `AtomicInteger` provides you with methods that perform atomic operations, which are thread-safe.\n\nHere's how you can modify your code:\n\n```java\nimport java.util.concurrent.atomic.AtomicInteger;\n\npublic class CircularArrayDeQueue implements DeQueue {\n // ...\n private AtomicInteger modCount;\n // ...\n\n public CircularArrayDeQueue() {\n // ...\n modCount = new AtomicInteger(0);\n }\n\n public void pushFirst(E elem) {\n // ...\n modCount.incrementAndGet();\n }\n\n public void pushLast(E elem) {\n // ...\n modCount.incrementAndGet();\n }\n\n public E popFirst() {\n // ...\n modCount.incrementAndGet();\n // ...\n }\n\n public E popLast() {\n // ...\n modCount.incrementAndGet();\n // ...\n }\n\n public void clear() {\n // ...\n modCount.incrementAndGet();\n }\n\n private void resize(int newCapacity) {\n // ...\n modCount.incrementAndGet();\n }\n\n private class DeQueueIterator implements Iterator {\n // ...\n private final int expectedModCount;\n\n DeQueueIterator(int start, int step) {\n // ...\n this.expectedModCount = modCount.get();\n }\n\n public E next() {\n if (modCount.get() != expectedModCount) {\n throw new ConcurrentModificationException();\n }\n // ...\n }\n }\n}\n```\n\nIn this code, `modCount.incrementAndGet()` is used to increment `modCount` atomically, and `modCount.get()` is used to get its current value. These operations are atomic and thus thread-safe.", "metadata": null} +{"prompt": "[CXX1429] error when building with ndkBuild using E:\\Dhruvin kheni\\Backup\\Backup\\Pancard_pe_loan\\Pancard_pe_loan\\app\\src\\main\\jni\\Android.mk: Android NDK: Your APP_BUILD_SCRIPT points to an unknown file: E:\\Dhruvin kheni\\Backup\\Backup\\Pancard_pe_loan\\Pancard_pe_loan\\app\\src\\main\\jni\\Android.mk \n\nC++ build system [configure] failed while executing:\n @echo off\n \"C:\\\\Users\\\\BMV3\\\\AppData\\\\Local\\\\Android\\\\Sdk\\\\ndk\\\\25.1.8937393\\\\ndk-build.cmd\" ^\n \"NDK_PROJECT_PATH=null\" ^\n \"APP_BUILD_SCRIPT=E:\\\\Dhruvin kheni\\\\Backup\\\\Backup\\\\Pancard_pe_loan\\\\Pancard_pe_loan\\\\app\\\\src\\\\main\\\\jni\\\\Android.mk\" ^\n \"NDK_APPLICATION_MK=E:\\\\Dhruvin kheni\\\\Backup\\\\Backup\\\\Pancard_pe_loan\\\\Pancard_pe_loan\\\\app\\\\src\\\\main\\\\jni\\\\Application.mk\" ^\n \"APP_ABI=arm64-v8a\" ^\n \"NDK_ALL_ABIS=arm64-v8a\" ^\n \"NDK_DEBUG=1\" ^\n \"APP_PLATFORM=android-26\" ^\n \"NDK_OUT=E:\\\\Dhruvin kheni\\\\Backup\\\\Backup\\\\Pancard_pe_loan\\\\Pancard_pe_loan\\\\app\\\\build\\\\intermediates\\\\cxx\\\\Debug\\\\6h295i67/obj\" ^\n \"NDK_LIBS_OUT=E:\\\\Dhruvin kheni\\\\Backup\\\\Backup\\\\Pancard_pe_loan\\\\Pancard_pe_loan\\\\app\\\\build\\\\intermediates\\\\cxx\\\\Debug\\\\6h295i67/lib\" ^\n \"APP_SHORT_COMMANDS=false\" ^\n \"LOCAL_SHORT_COMMANDS=false\" ^\n -B ^\n -n\n from E:\\Dhruvin kheni\\Backup\\Backup\\Pancard_pe_loan\\Pancard_pe_loan\\app\nC:/Users/BMV3/AppData/Local/Android/Sdk/ndk/25.1.8937393/build/../build/core/add-application.mk:88: *** Android NDK: Aborting... . Stop.\nAffected Modules: app\n", "search_helpful": false, "source": "arena_hard", "label": "Sure, let's break this down step by step.\n\n1. First, let's understand the current VRAM usage. The VRAM usage is determined by the model size, batch size, and sequence length. In this case, the model is a 7B parameter Transformer LLM, the batch size is 1, and the sequence length is 500 tokens. The VRAM usage is 14GB.\n\n2. The VRAM usage is proportional to the batch size and sequence length. This means if we increase the batch size or sequence length, the VRAM usage will increase proportionally. \n\n3. In this case, we are increasing the batch size from 1 to 50, while keeping the sequence length and model size constant. This means the VRAM usage will increase by a factor of 50.\n\n4. Therefore, the new VRAM requirement would be 14GB * 50 = 700GB.\n\nPlease note that this is a simplified calculation and actual VRAM usage can depend on other factors as well, such as the specific implementation of the model, the memory management of the GPU, etc.", "metadata": null} +{"prompt": "User\nI am an Android developer. When running my ONNX runtime application, the CPU utilisation is ~40% . How can I increase the CPU usage for my app?", "search_helpful": false, "source": "arena_hard", "label": "Sure, I can provide you with basic examples of these scripts. Please note that these are very simple examples and you may need to modify them according to your specific requirements.\n\n1. login.php\n```php\n 0){\n $_SESSION['username'] = $username;\n header(\"Location: home.php\");\n }else{\n echo \"Invalid username or password\";\n }\n}\n?>\n```\n\n2. register.php\n```php\n\n```\n\n3. home.php\n```php\n\n\n\n Home\n\n\n

Welcome,

\n\n\n```\n\n4. profile.php\n```php\n\n\n\n Profile\n\n\n

's Profile

\n

Username:

\n\n\n```\n\n5. games.php\n```php\n\n\n\n Games\n\n\n

Games

\n \n

\n

\n \n\n\n```\n\nPlease note that these scripts are very basic and do not include any form of security measures such as SQL injection prevention or password hashing. You should definitely add these in a real-world application.", "metadata": null} +{"prompt": "Provide 15 attack vectors in Manufacturing sector and methods to mitigate the identied risks ", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a basic example of how you might structure your models.py file for a badminton restring tracker in Django. This is a simple design and you may need to adjust it according to your specific needs.\n\n```python\nfrom django.db import models\n\nclass Customer(models.Model):\n first_name = models.CharField(max_length=50)\n last_name = models.CharField(max_length=50)\n phone = models.CharField(max_length=20)\n email = models.EmailField()\n\n def __str__(self):\n return f'{self.first_name} {self.last_name}'\n\nclass Restring(models.Model):\n customer = models.ForeignKey(Customer, on_delete=models.CASCADE)\n date = models.DateField()\n racket_model = models.CharField(max_length=100)\n string_model = models.CharField(max_length=100)\n tension = models.IntegerField()\n\n def __str__(self):\n return f'{self.customer} {self.date} {self.racket_model}'\n\nclass Payment(models.Model):\n PAYMENT_METHODS = (\n ('Cash', 'Cash'),\n ('Card', 'Card'),\n ('Online', 'Online'),\n )\n\n restring = models.OneToOneField(Restring, on_delete=models.CASCADE)\n date = models.DateField()\n amount = models.DecimalField(max_digits=6, decimal_places=2)\n method = models.CharField(max_length=20, choices=PAYMENT_METHODS)\n\n def __str__(self):\n return f'{self.restring} {self.date} {self.amount} {self.method}'\n```\n\nIn this design, each `Customer` can have multiple `Restring` instances, and each `Restring` has exactly one `Payment` associated with it. The `Restring` model includes fields for the date of the restring, the racket model, the string model, and the tension. The `Payment` model includes fields for the date of the payment, the amount, and the method of payment.", "metadata": null} +{"prompt": "In what order should I learn Deep Learning from the foundations such as matrices and vectors all the way to transformers?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple system you can use to randomly generate cities for your RPG using a d4, a d6, and a d8. \n\n1. **City Size (d4):**\n - 1: Hamlet\n - 2: Village\n - 3: Town\n - 4: City\n\n2. **Economic Focus (d6):**\n - 1: Agriculture\n - 2: Trade\n - 3: Mining\n - 4: Fishing\n - 5: Crafts/Artisans\n - 6: Military/Defense\n\n3. **Notable Feature (d8):**\n - 1: Famous for a specific type of food or drink\n - 2: Known for a unique cultural festival\n - 3: Home to a renowned hero or villain\n - 4: Site of a significant historical event\n - 5: Contains a mysterious or magical landmark\n - 6: Known for a unique architectural style\n - 7: Home to a rare species of animal or plant\n - 8: Location of a prestigious school or guild\n\nFor example, if you roll a 3 on the d4, a 2 on the d6, and a 7 on the d8, you would have a Town that is focused on Trade and is home to a rare species of animal or plant.\n\nRemember, these are just starting points. You can expand on these basic elements to create a more detailed and interesting city for your RPG.", "metadata": null} +{"prompt": "Write a complete Python program to archive files in a specified folder into separate zip files on Linux.", "search_helpful": false, "source": "arena_hard", "label": "In Odoo, you can access the last many2many field id by using the reverse order of the recordset. Here is an example:\n\n```python\nlast_id = record.many2many_field_ids[-1].id\n```\n\nIn this example, `record` is the record that contains the many2many field, and `many2many_field_ids` is the many2many field. The `-1` index is used to access the last element in the recordset.\n\nPlease replace `record` and `many2many_field_ids` with your actual record and field name.", "metadata": null} +{"prompt": "I have a backup of my Linux Mint system from last month in a set of .gz (zipped tar) files. What arguments can I use with tar to update any files that have changed, without re-archiving unchanged files?", "search_helpful": false, "source": "arena_hard", "label": "As an AI assistant, I can guide you through the steps you might take to approach this project. \n\n1. **Data Collection**: Gather historical data on pricing and sales. This data should ideally be over a significant period of time and include variables that might affect sales such as marketing activities, seasonality, and competitive activity.\n\n2. **Data Cleaning**: Clean the data to handle missing values, outliers, and irrelevant information. This step is crucial to ensure the accuracy of your model.\n\n3. **Exploratory Data Analysis (EDA)**: Analyze the data to understand the relationship between price and sales. Look for trends, patterns, and anomalies. Visualize the data using graphs and charts. \n\n4. **Feature Engineering**: Create new variables that might affect sales. This could include lag variables, moving averages, price changes, etc.\n\n5. **Model Building**: Since you're looking for a profit parabola, you might want to start with polynomial regression models. These models can capture the non-linear relationship between price and sales. You can also try other models like decision trees, random forest, and gradient boosting which can handle non-linear relationships.\n\n6. **Model Validation**: Split your data into a training set and a test set. Train your model on the training set and test it on the test set. Use metrics like R-squared, Mean Squared Error (MSE), and Mean Absolute Error (MAE) to evaluate your model.\n\n7. **Model Optimization**: Tune your model to improve its performance. This could involve adjusting the parameters of your model, selecting different features, or trying different models.\n\n8. **Model Deployment**: Once you're satisfied with your model, deploy it to predict the effect of pricing on sales. Monitor the performance of your model over time and adjust it as necessary.\n\n9. **Reporting**: Document your findings and communicate them to stakeholders. Include visualizations to make your findings easier to understand.\n\nRemember, the goal is not just to build a model, but to gain insights that can help the business make better pricing decisions.", "metadata": null} +{"prompt": "Given a binary array 'nums', you are required to find the maximum length of a contiguous subarray that contains an equal number of 0s and 1s.\n\nExplanation:\n\nA binary array is an array that contains only 0s and 1s.\nA subarray is any subset of the indices of the original array.\nA contiguous subarray is a subarray in which all the elements are consecutive, i.e., any element between the first and last element of the subarray is also part of it.\nExamples:\nInput :nums = [0, 1]\nOutput : 2\nExplanation: The longest contiguous subarray with an equal number of 0s and 1s is [0, 1] with a length of 2.\nInput : nums = [0, 1, 0]\nOutput : 2\nExplanation: The longest contiguous subarray with an equal number of 0s and 1s is either [0, 1] or [1, 0], both with a length of 2.\nInput : nums = [0, 0, 0, 1, 1, 1]\nOutput : 6\nExplanation: The longest contiguous subarray with an equal number of 0s and 1s is [0, 0, 0, 1, 1, 1] with a length of 6.\nThe problem requires finding the maximum length of a contiguous subarray in the binary array 'nums' that contains an equal number of 0s and 1s.", "search_helpful": false, "source": "arena_hard", "label": "To estimate the potential revenue that can be earned by UK Management Consultancy by advising and implementing FinTech solutions to Capital Markets clients, we would need to consider several factors. \n\n1. The size of the UK Management Consultancy market: According to Statista, the management consulting market in the UK was worth approximately \u00a311 billion in 2020.\n\n2. The proportion of this market that is related to FinTech solutions: This is harder to estimate without specific data, but let's assume that around 10% of the management consulting market is related to FinTech solutions. This would mean that the FinTech consulting market is worth around \u00a31.1 billion.\n\n3. The proportion of the FinTech consulting market that is related to Capital Markets clients: Again, this is difficult to estimate without specific data, but let's assume that around 20% of the FinTech consulting market is related to Capital Markets clients. This would mean that the market for advising and implementing FinTech solutions to Capital Markets clients is worth around \u00a3220 million.\n\nPlease note that these are rough estimates and the actual figures could be higher or lower depending on a range of factors. For a more accurate estimate, you would need to conduct a detailed market research study.", "metadata": null} +{"prompt": "Help me solve the following qn. Please provide a intuitive easy to understand step by step solution:\n\nGiven two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays.\n\n", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a basic example of a YAML schema for an MMO player account:\n\n```yaml\nPlayerAccount:\n type: object\n properties:\n accountId:\n type: string\n description: The unique identifier for the player's account.\n username:\n type: string\n description: The player's chosen username.\n email:\n type: string\n format: email\n description: The player's email address.\n password:\n type: string\n description: The player's password.\n characters:\n type: array\n items:\n $ref: '#/definitions/Character'\n description: The player's characters in the game.\n required:\n - accountId\n - username\n - email\n - password\n\nCharacter:\n type: object\n properties:\n characterId:\n type: string\n description: The unique identifier for the character.\n characterName:\n type: string\n description: The character's name.\n characterClass:\n type: string\n description: The character's class.\n characterLevel:\n type: integer\n description: The character's current level.\n characterExperience:\n type: integer\n description: The character's current experience points.\n required:\n - characterId\n - characterName\n - characterClass\n - characterLevel\n - characterExperience\n```\n\nThis is a very basic schema and may not cover all the details of an MMO player account. You may need to add more properties depending on the specific details of your game.", "metadata": null} +{"prompt": "In GAMS, assume I have s parameters which is indexed over two sets P1(A,B), and I have another one-to-one-mapping that maps exactly each element of B to each element of C. How can I create a new parameter P2(A,C) such that each value of P2 takes the mapped value from P1?", "search_helpful": false, "source": "arena_hard", "label": "Calculating pi to infinite precision is not possible due to the limitations of computer memory and processing power. However, you can calculate pi to a high degree of precision using various algorithms. One of the most famous is the Bailey\u2013Borwein\u2013Plouffe (BBP) formula, but it's quite complex.\n\nA simpler method is to use the Leibniz formula for pi, which is a series that converges to pi. Here's a Python code snippet that calculates pi to a high degree of precision:\n\n```python\ndef calculate_pi(precision):\n q, r, t, k, n, l = 1, 0, 1, 1, 3, 3\n decimal = 0\n counter = 0\n pi = \"\"\n while counter < precision + 1:\n if 4*q+r-t < n*t:\n pi += str(n)\n if counter == 0:\n pi += \".\"\n if decimal == 10:\n decimal = 0\n counter += 1\n nr = 10*(r-n*t)\n n = ((10*(3*q+r))//t)-10*n\n q *= 10\n r = nr\n else:\n nr = (2*q+r)*l\n nn = (q*(7*k+2)+r*l)//(t*l)\n q *= k\n t *= l\n l += 2\n k += 1\n n = nn\n r = nr\n return pi\n\nprint(calculate_pi(100)) # Calculate pi to 100 decimal places\n```\n\nThis code uses the Gauss-Legendre algorithm to calculate pi. It's not infinitely precise, but you can adjust the precision by changing the argument to the `calculate_pi` function.", "metadata": null} +{"prompt": "I have a set of examples (that is assignments of $n$ variables $x_1 ... x_n$ that are labeled as solution (+) or non-solution (-). The goal is to find the minimum subset of variables in $x_1 ... x_n$ such that it is possible to split between (+) and (-) by seeing only theses variables.", "search_helpful": false, "source": "arena_hard", "label": "Here is a basic example of how you might accomplish this in Rust. This program reads URLs from a file, separates YouTube URLs from other URLs, and then calls the `yt-dlp` command to download the YouTube URLs.\n\nPlease note that this is a simple example and does not include error handling or edge cases. You should add those in a real-world application.\n\n```rust\nuse std::fs::File;\nuse std::io::{self, BufRead};\nuse std::path::Path;\nuse std::process::Command;\n\nfn main() -> io::Result<()> {\n let path = Path::new(\"urls.txt\");\n let file = File::open(&path)?;\n let reader = io::BufReader::new(file);\n\n for line in reader.lines() {\n let url = line?;\n if url.contains(\"youtube.com\") || url.contains(\"youtu.be\") {\n download_youtube_video(&url);\n }\n }\n\n Ok(())\n}\n\nfn download_youtube_video(url: &str) {\n let output = Command::new(\"yt-dlp\")\n .arg(url)\n .output()\n .expect(\"Failed to execute command\");\n\n if !output.status.success() {\n eprintln!(\"Error: {}\", String::from_utf8_lossy(&output.stderr));\n }\n}\n```\n\nThis program assumes that the `yt-dlp` command is available in the system's PATH. If it's not, you'll need to provide the full path to the `yt-dlp` executable.\n\nAlso, please note that this program will block on each download. If you have a lot of URLs, you might want to use threads or async IO to download multiple videos at once.\n\nLastly, please be aware of YouTube's Terms of Service. It's against their rules to download videos without the uploader's permission, except for videos that have a \"Download\" button provided by YouTube.", "metadata": null} +{"prompt": "You are a data scientist, output a Python script in OOP for a contextual multi armed bandit sampling from 3 models", "search_helpful": false, "source": "arena_hard", "label": "Solving a Rubik's Cube can seem like an incredibly hard task, but with some practice and patience, it can be done. Here's a simplified step-by-step guide for beginners:\n\n1. **Understand the Cube**: The Rubik's Cube has six sides, each with a different color. Each side is made up of 9 squares. The center square on each side is fixed and determines the color of that side.\n\n2. **The White Cross**: Start by making a cross on the white face, ensuring that the color of the edge pieces matches the color of the center pieces on the adjacent sides.\n\n3. **Solving the White Corners**: Now, find the white corner pieces and move them to the bottom layer. Make sure the colors on the side of the corner pieces match the colors of the center pieces of the adjacent sides.\n\n4. **Solving the Middle Layer**: Turn the cube upside down so the white face is now the bottom. Now, you'll solve for the edge pieces in the middle layer. This can be done using various algorithms, which are sequences of moves that rotate pieces into their correct positions.\n\n5. **Solving the Yellow Face**: Now, you'll need to solve the yellow face on top. This is done in two steps: first, you'll need to form a yellow cross on top, and then you'll need to move the corners into their correct positions.\n\n6. **Positioning Yellow Corners**: In this step, you'll need to move the yellow corners into their correct positions, without worrying about the colors on the sides of the cubes.\n\n7. **Positioning Yellow Edges**: The final step is to move the yellow edges into their correct positions. This can be done using a specific algorithm.\n\nHere's an example of how to solve the first step, the white cross:\n\n1. Hold the cube so the white center piece is on top.\n2. Find a white edge piece on the bottom layer. Let's say it's the white and blue edge piece.\n3. Rotate the bottom layer until the blue color on the edge piece lines up with the blue center piece.\n4. Now, rotate the front face 180 degrees. The white and blue edge piece should now be correctly positioned on the white face.\n5. Repeat this process for the other white edge pieces.\n\nRemember, solving a Rubik's Cube involves a lot of practice and memorization of algorithms. There are many online resources and tutorials that can provide more detailed instructions and visual aids. Good luck!", "metadata": null} +{"prompt": "What is the most successful go to market strategy for a managed services business?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a recipe for a High-Protein Breakfast Scramble. It's quick, easy, and packed with protein.\n\nIngredients:\n- 4 large eggs\n- 1 cup of egg whites\n- 1 cup of chopped spinach\n- 1/2 cup of diced bell peppers (any color)\n- 1/2 cup of diced onions\n- 1/2 cup of diced tomatoes\n- 1/2 cup of shredded cheddar cheese\n- 1 cup of cooked quinoa\n- 1/2 cup of diced cooked chicken breast\n- Salt and pepper to taste\n- 1 tablespoon of olive oil\n\nInstructions:\n1. Heat the olive oil in a large non-stick skillet over medium heat.\n2. Add the onions and bell peppers to the skillet and saut\u00e9 until they are soft.\n3. Add the diced tomatoes and spinach to the skillet and continue to saut\u00e9 until the spinach is wilted.\n4. In a separate bowl, whisk together the eggs, egg whites, salt, and pepper.\n5. Pour the egg mixture into the skillet with the vegetables and stir gently to combine.\n6. Cook the egg mixture, stirring occasionally, until the eggs are nearly set.\n7. Add the cooked quinoa and diced chicken breast to the skillet and stir to combine.\n8. Sprinkle the shredded cheddar cheese over the top of the scramble.\n9. Cover the skillet and cook for a few more minutes, until the cheese is melted and the eggs are fully set.\n10. Serve hot.\n\nThis recipe should provide approximately 30-35 grams of protein per serving, depending on the exact quantities of each ingredient used. Enjoy your breakfast!", "metadata": null} +{"prompt": "Hello, what do you think of this arduino code in regards to understandability, optimization and size?\nAny suggestions for improvements?\n\nvoid cycleLEDs(int interval) {\n const int nOutPins = sizeof(outPins) / sizeof(outPins[0]);\n static unsigned long lastChange = 0;\n static int currIndex = 0; // Use static to retain value between function calls\n int nextIndex = 0;\n \n if (millis() >= lastChange + abs(interval)) {\n\n // Determine direction\n int direction = interval < 0 ? -1 : 1;\n\n // Update secondary index\n nextIndex = currIndex + direction;\n if (nextIndex < 0) {\n nextIndex = nOutPins - 1;\n } else if (nextIndex >= nOutPins) {\n nextIndex = 0;\n }\n \n // Turn off all LEDs\n for (int i = 0; i < nOutPins; i++) {\n if (i == currIndex || i == nextIndex){\n digitalWrite(outPins[i], HIGH);\n } else {\n digitalWrite(outPins[i], LOW);\n } \n }\n\n // Update current index\n currIndex += direction;\n if (currIndex < 0) {\n currIndex = nOutPins - 1;\n } else if (currIndex >= nOutPins) {\n currIndex = 0;\n }\n\n // Update timer\n lastChange = millis();\n }\n}\n\nThank you for your help, i value your input.", "search_helpful": false, "source": "arena_hard", "label": "Gibbs free energy (\u0394G) is a thermodynamic potential that measures the maximum reversible work that a system can perform at constant temperature and pressure. It is used to determine whether a process will occur spontaneously.\n\nThe Gibbs free energy of fibril formation can be calculated using the following formula:\n\n\u0394G = -RT ln(K)\n\nWhere:\n- \u0394G is the Gibbs free energy change\n- R is the universal gas constant (8.314 J/(mol\u00b7K))\n- T is the absolute temperature in Kelvin\n- K is the equilibrium constant\n\nHowever, if you only have the solubility value, you might not be able to directly calculate the Gibbs free energy of fibril formation. The equilibrium constant (K) is not the same as solubility. \n\nThe equilibrium constant is a measure of the ratio of the concentrations of products to reactants at equilibrium. In the case of fibril formation, this would be the ratio of the concentration of fibril to the concentration of the soluble protein.\n\nIf you have the solubility of the protein (S), you can calculate the concentration of the soluble protein ([P]) using the formula:\n\n[P] = S / (1 + S)\n\nHowever, to calculate K, you would also need to know the concentration of the fibril ([F]). If you have this information, you can calculate K using the formula:\n\nK = [F] / [P]\n\nOnce you have K, you can then calculate \u0394G using the first formula.\n\nPlease note that this is a simplified explanation and the actual calculation may be more complex depending on the specific conditions of your system. It's always best to consult with a professional or a professor if you're unsure.", "metadata": null} +{"prompt": "find the issue: #include \"mbed.h\"\n#include \n\nDigitalOut ledYellow(D2);\nDigitalOut ledAmber(D3);\nDigitalOut ledRed(D4);\n\nThread thread2;\nThread thread3;\n\nint counter = 0;\n\n// Subroutine for any LEDs\nvoid ledAny (DigitalOut *ledA){\n while(true){\n *ledA = 1;\n ThisThread::sleep_for(500ms);\n *ledA =0;\n ThisThread::sleep_for(1500ms);\n printf(\"My pointer is %p\\n\", *ledA);\n }\n}\n\n\n// main() runs in its own thread in the OS\nint main(){\n\n thread2.start(callback(ledAny, &ledYellow));\n ThisThread::sleep_for(1000ms);\n thread3.start(callback(ledAny, &ledAmber));\n\n while (true) {\n counter = counter + 1;\n\n ledRed.write(true);\n ThisThread::sleep_for(500ms);\n ledRed.write(false);\n ThisThread::sleep_for(500ms);\n\n if (counter>20){\n thread2.terminate();\n }\n\n\n }\n}\n\n", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple example of a sentiment analysis script using Python and the TextBlob library. This script will take a sentence as input and output whether the sentiment is positive, negative, or neutral.\n\nFirst, you need to install the necessary library. You can do this using pip:\n\n```python\npip install textblob\n```\n\nHere's the Python script:\n\n```python\nfrom textblob import TextBlob\n\ndef get_sentiment(text):\n # create TextBlob object of passed text \n blob = TextBlob(text)\n # return sentiment \n return blob.sentiment.polarity\n\ntext = input(\"Enter a sentence: \")\n\nsentiment = get_sentiment(text)\n\nif sentiment > 0:\n print(\"The sentiment of the text is positive.\")\nelif sentiment < 0:\n print(\"The sentiment of the text is negative.\")\nelse:\n print(\"The sentiment of the text is neutral.\")\n```\n\nThis script uses TextBlob's sentiment property to get the sentiment of the input text. The sentiment property returns a namedtuple of the form `Sentiment(polarity, subjectivity)`. The polarity score is a float within the range [-1.0, 1.0]. The subjectivity is a float within the range [0.0, 1.0] where 0.0 is very objective and 1.0 is very subjective.\n\nPlease note that this is a very basic form of sentiment analysis and may not be 100% accurate. For more complex sentiment analysis, you may need to use more advanced techniques and/or libraries.", "metadata": null} +{"prompt": "Is there an early stop out method (to control for multiple testing problem in hypothesis tests) for a dataset with initial probabilities of passing. For example, I have a set of financial market strategies with initial probability of skill using the probabilistic sharpe ratio. I want to test these strategies for a different dataset but I also want to control for multiple testing. Testing all available strategies will lead to multiple testing problems. So, I only want to test a subset of my strategies. Is there an early stop-out method for this application?", "search_helpful": false, "source": "arena_hard", "label": "Model A (In Favor):\n\nAI has become an integral part of our everyday lives, from voice assistants like Siri and Alexa to recommendation algorithms on Netflix and Amazon. It's true that Europe has stricter regulations, but these are designed to protect citizens' privacy and ensure that AI is used ethically. Rather than seeing these regulations as a hindrance, we should view them as a framework that guides the responsible use of AI.\n\nAI can greatly improve efficiency and productivity. It can automate mundane tasks, freeing up time for more complex and creative tasks. It can also help in making more accurate predictions and decisions, reducing human error. In healthcare, for example, AI can help in early detection of diseases, improving patient outcomes. \n\nMoreover, AI can help in addressing some of the biggest challenges that Europe faces, such as climate change and aging population. AI can optimize energy use, reducing carbon emissions. It can also help in providing care for the elderly, reducing the burden on healthcare systems.\n\nModel B (Against):\n\nWhile it's true that AI has many potential benefits, we must also consider the risks and challenges. The use of AI in everyday life can lead to privacy concerns. Even with strict regulations in Europe, there's always a risk of data breaches and misuse of personal information.\n\nAI can also lead to job displacement. While it can automate mundane tasks, it can also replace jobs, leading to unemployment and social inequality. The benefits of AI are often enjoyed by the tech companies and the wealthy, while the costs are borne by the less privileged.\n\nMoreover, AI systems can be biased, reflecting the biases of their creators. This can lead to unfair outcomes, such as discrimination in hiring or law enforcement. \n\nLastly, the use of AI can lead to over-reliance on technology, reducing human interaction and creativity. We must not forget the value of human judgment and intuition, which cannot be replicated by AI.\n\nIn conclusion, while AI has potential benefits, we must also consider the risks and challenges. We need to strike a balance between embracing technology and preserving our values and way of life.", "metadata": null} +{"prompt": "Can you write a service catalogue for a Microsoft M365 consultancy focusing on Data, Data Management, Automation and A.I. The focus should be on audits, roadmaps, advice and cutting edge technologies within the M365 ecosystem but not be its only focus", "search_helpful": false, "source": "arena_hard", "label": "To achieve this, you can use JavaScript (or jQuery) to make an AJAX call to your API when the button is clicked. Here's an example of how you can do this using jQuery:\n\nFirst, include jQuery in your HTML file if it's not already included:\n\n```html\n\n```\n\nThen, add an id to your button for easier selection:\n\n```html\n\n```\n\nNow, you can add a script tag to your HTML file and write the JavaScript code inside it:\n\n```html\n\n```\n\nThis code will get the value from the input field with id \"user_name\" when the button with id \"addUserButton\" is clicked, and then it will make a POST request to your API with the user name and user key. You can handle the result of the request in the success function and any errors in the error function.", "metadata": null} +{"prompt": "Give me a recipe for making 5L of strawberry and blackberry melomel. Use metric measurements.", "search_helpful": false, "source": "arena_hard", "label": "Sure, let's start. You're Captain of the starship \"Nova\". You're currently orbiting a mysterious planet. Suddenly, your radar picks up an unknown object approaching. What do you do?", "metadata": null} +{"prompt": "Consider the flavors of the ingredients. The ingredients are: tuna, salt, chocolate\nGenerate a contingency table for ingredient combinations. Each row represents an ingredient. Each column represents an ingredient. each cell has the flavor profile of the ingredient combination. ", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a basic example of how you can achieve this using Tailwind CSS for styling and Next.js for the React framework. This example uses the useState and useEffect hooks from React to handle the responsive behavior.\n\nFirst, install the necessary dependencies:\n\n```bash\nnpm install react-icons\n```\n\nThen, create a new component for the navigation bar:\n\n```jsx\nimport { useState, useEffect } from 'react';\nimport { AiOutlineMenu } from 'react-icons/ai';\nimport Link from 'next/link';\n\nconst Navbar = () => {\n const [isOpen, setIsOpen] = useState(false);\n const [isMobile, setIsMobile] = useState(false);\n\n const checkMobile = () => {\n setIsMobile(window.innerWidth < 640);\n };\n\n useEffect(() => {\n checkMobile();\n window.addEventListener(\"resize\", checkMobile);\n return () => window.removeEventListener(\"resize\", checkMobile);\n }, []);\n\n return (\n
\n {(isMobile && isOpen) || !isMobile ? (\n
\n {/* Sidebar content */}\n
\n
\n \n Logo\n \n
\n {isMobile && (\n \n )}\n
\n \n
\n ) : null}\n
\n {isMobile && (\n
\n \n
\n )}\n {/* Page content */}\n
\n
\n );\n};\n\nexport default Navbar;\n```\n\nThis code creates a sidebar that is always visible on larger screens and turns into a hamburger menu on smaller screens. The sidebar slides in from the left when the hamburger menu is clicked. The sidebar contains a logo and navigation links. The navigation links are just placeholders and should be replaced with your actual links.\n\nPlease note that this is a basic example and might need adjustments based on your exact requirements.", "metadata": null} +{"prompt": "i need to allocate some space on stack for my local variables (in x86-64 nasm assembly)", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a Python function that uses regular expressions to find email addresses in a string:\n\n```python\nimport re\n\ndef find_emails(s):\n email_regex = r'\\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\\.[A-Z|a-z]{2,}\\b'\n return re.findall(email_regex, s)\n```\n\nYou can use this function like this:\n\n```python\ns = \"My email is example@example.com and my friend's email is friend@example.com\"\nprint(find_emails(s))\n```\n\nThis will output:\n\n```python\n['example@example.com', 'friend@example.com']\n```\n\nThis function works by using a regular expression that matches most email addresses. Please note that email address validation is a complex topic and this function might not catch all valid email addresses.", "metadata": null} +{"prompt": "Write a function in PPC64 to load the GOT and call a function in the GOT", "search_helpful": false, "source": "arena_hard", "label": "You can use a virtual screen to run your GUI application on Linux without a physical screen. This can be achieved using a tool called Xvfb, which stands for X Virtual FrameBuffer. This tool runs an X server that can run your GUI applications on a virtual screen in memory.\n\nHere are the steps to do this:\n\n1. Install Xvfb. If you're using a Debian-based distribution like Ubuntu, you can install it using the following command:\n\n ```\n sudo apt-get install xvfb\n ```\n For Red Hat-based distributions like CentOS, you can use:\n\n ```\n sudo yum install Xvfb\n ```\n\n2. Start the virtual screen. You can start the virtual screen using the following command:\n\n ```\n Xvfb :99 -screen 0 1024x768x24 &\n ```\n This command starts a virtual screen with screen number 99. The resolution of the screen is 1024x768 and the color depth is 24-bit.\n\n3. Export the DISPLAY environment variable. Before running your GUI application, you need to tell it to use the virtual screen you just started. You can do this by exporting the DISPLAY environment variable:\n\n ```\n export DISPLAY=:99\n ```\n\n4. Now, you can run your GUI application as you normally would. It will run on the virtual screen in memory, and you won't need a physical screen.\n\nRemember, this is a basic setup and might need to be adjusted based on the specific requirements of your GUI application.", "metadata": null} +{"prompt": "When training my neural network, I can get a loss below 4.5 at 10,000 iterations. The latest attempt includes trying batch sizes of 512, 1024, and 2048 while keeping the block size at a 4. All of this is done in the context of nanoGPT. It's worth noting that when I ran a batch size of 12 and a block size of 1024, I managed to get the loss down to 4.32 after 10,000 iterations. In your opinion and experience, what steps can I take in order to reduce the loss? Please keep in mind that my video card has 12GB of RAM and the vocabulary is made up of 20,000 words. Each sentence is made up of exactly four tokens. Do you have any suggestions how I could improve the neural network, please?", "search_helpful": false, "source": "arena_hard", "label": "In Swift, you can use pattern matching in conditionals with the `if case` statement. Here's an example:\n\n```swift\nenum Fruit {\n case apple\n case orange\n case banana\n}\n\nlet myFruit = Fruit.apple\n\nif case .apple = myFruit {\n print(\"It's an apple!\")\n} else {\n print(\"It's not an apple!\")\n}\n```\n\nIn this example, the `if case` statement checks if `myFruit` is an `apple`. If it is, it prints \"It's an apple!\". If it's not, it prints \"It's not an apple!\".\n\nYou can also use pattern matching with associated values:\n\n```swift\nenum Barcode {\n case upc(Int, Int, Int, Int)\n case qrCode(String)\n}\n\nvar productBarcode = Barcode.upc(8, 85909, 51226, 3)\n\nif case .upc(let numberSystem, let manufacturer, let product, let check) = productBarcode {\n print(\"UPC: \\(numberSystem), \\(manufacturer), \\(product), \\(check).\")\n} else if case .qrCode(let productCode) = productBarcode {\n print(\"QR code: \\(productCode).\")\n}\n```\n\nIn this example, the `if case` statement checks if `productBarcode` is a `upc` or a `qrCode`. If it's a `upc`, it prints the associated values. If it's a `qrCode`, it prints the associated string.", "metadata": null} +{"prompt": "Here are the top issues reported for a Scheduling system. Can you categorize them and report on counts for the most common issues:\n\nTitle\tShortResolution\nPlanner-Loadboard Sync Issue.\tReplicated job fixed issue.\nLoadboard-Planner Task Sync Issue.\tForecast indicator removed by renaming.\nWest Allis MLS HDSS Header Update.\tRenamed resource replicated next day.\n\"Daily Task Board Setup\"\tDuplex task run creation fixed.\n\"Cancelled jobs tasks remain in LB2\"\tCharacters issue fixed. OM updated.\nMissing Task for Press in 3 Hours\tData resent and planner updated.\nLoadboard job display error.\tReset Citrix connection.\nPresort error for Cafe Sheet batch.\tNew job number created.\nFilter not catching FSC MC.\tAdded 'contains' operator for search.\nAccess issues with LB2 & Finishing Toolset shortcuts at PEI-111.\tLB2 deployment successful.\nAccess issues with LB2 workstation.\tResolved LB2 deployment issue.\nLoadboard crashes and login issues.\tCitrix server resolved, login fix in progress.\nLB2 Loadboard Tool Error.\tLB2 error resolved, no action taken.\nDeployment delays causing downtime\tProblem not solved. Presses deploy requested.\nLoadboard server error.\tBroker switch resolved LB2 issue.\nLoadboard Malfunction - Urgent!\tInk jet data corrected; schedule loaded.", "search_helpful": false, "source": "arena_hard", "label": "The `java.util.concurrent.CancellationException: Task was cancelled` error typically occurs when a Future task is cancelled before it completes. \n\nHere are some general steps to solve this issue:\n\n1. **Check where the task is being cancelled**: The stack trace you provided indicates that the task is being cancelled somewhere in your code. You need to find out where this cancellation is happening. Look for any calls to `Future.cancel()` in your code.\n\n2. **Ensure the task isn't cancelled prematurely**: If a task is cancelled before it has a chance to complete, a `CancellationException` will be thrown. Make sure that you're not cancelling the task prematurely, and that you're giving it enough time to complete before cancelling.\n\n3. **Handle the exception**: If a task cancellation is expected behavior in your program, you should handle the `CancellationException` in a try-catch block to prevent it from crashing your program. Here's an example:\n\n```java\nFuture future = executor.submit(task);\ntry {\n future.get();\n} catch (CancellationException e) {\n // Handle the cancellation.\n} catch (ExecutionException e) {\n // Handle other exceptions.\n}\n```\n\n4. **Check for any thread interruptions**: If a thread is interrupted while a task is running, it may cause the task to be cancelled. Check your code for any unnecessary thread interruptions.\n\nRemember, without the actual code, it's hard to provide a specific solution. The above steps are general guidelines to help you debug the issue.", "metadata": null} +{"prompt": "write a python code to get daily stocks data from yfinance and plot", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a detailed table that breaks down the business model of Palantir:\n\n| Component | Description |\n| --- | --- |\n| Company Name | Palantir Technologies Inc. |\n| Industry | Software & Programming |\n| Founded | 2003 |\n| Founders | Peter Thiel, Alex Karp, Joe Lonsdale, Stephen Cohen, John Bohannon |\n| Headquarters | Denver, Colorado, United States |\n| Products/Services | Palantir Gotham, Palantir Foundry |\n| Business Model | B2B (Business to Business) |\n| Revenue Generation | Palantir generates revenue primarily through two software platforms: Palantir Gotham and Palantir Foundry. These platforms are used by organizations in various sectors, including government, defense, intelligence, law enforcement, financial services, healthcare, and others. The company charges its clients based on the usage of its software platforms, which can be either on a subscription basis or a per-project basis. |\n| Key Customers | Government agencies, large corporations, non-profit organizations |\n| Value Proposition | Palantir offers a unique value proposition by providing software that allows organizations to integrate, visualize, secure, and analyze information. This helps in making informed decisions and solving complex problems. |\n| Competitive Advantage | Palantir's competitive advantage lies in its advanced data analytics capabilities, strong government relationships, and its ability to handle large and complex data sets. |\n| Growth Strategy | Palantir's growth strategy involves expanding its customer base, investing in research and development to enhance its software platforms, and entering new markets and sectors. |\n| Challenges | Data privacy concerns, dependence on government contracts, competition from other tech companies. |\n\nPlease note that this is a simplified overview of Palantir's business model and the company may have other aspects to its business model that are not included in this table.", "metadata": null} +{"prompt": "Using pandas-ta, I have forex data and an 'EMA50' column. I want to detect where the close price crosses over the 'EMA50' value.", "search_helpful": false, "source": "arena_hard", "label": "Title: Artificial Intelligence and Patient Care Optimization: A Literature Review\n\nArtificial Intelligence (AI) has been increasingly integrated into healthcare, particularly in patient care optimization. This literature review aims to explore the current research and advancements in this field.\n\nAI has been instrumental in improving patient care by enhancing diagnosis, treatment, and monitoring processes. Topol (2019) discusses how AI algorithms can analyze complex medical data to provide accurate diagnoses, reducing human error. Similarly, Jiang et al. (2017) highlight the use of AI in predicting patient outcomes, which can guide treatment plans and improve patient prognosis.\n\nAI also plays a significant role in personalized medicine. According to Reddy and Fox (2017), AI can analyze individual patient data to tailor treatments, thereby improving their effectiveness and reducing side effects. This personalization of care has been shown to improve patient satisfaction and outcomes (Bates et al., 2018).\n\nMoreover, AI has been used to optimize patient flow in healthcare facilities. Zhang et al. (2019) discuss how AI can predict patient admission rates, allowing hospitals to manage resources more effectively. This can reduce waiting times and improve patient care.\n\nHowever, the integration of AI in patient care also presents challenges. Privacy and security concerns are paramount, as AI systems often require access to sensitive patient data (Mittelstadt et al., 2016). Additionally, the lack of transparency in AI decision-making processes can lead to ethical issues (Cath et al., 2018).\n\nIn conclusion, AI has the potential to significantly improve patient care optimization. However, further research is needed to address the ethical and privacy concerns associated with its use.\n\nReferences:\nBates, D. W., Auerbach, A., Schulam, P., Wright, A., & Saria, S. (2018). Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence. Annals of Internal Medicine, 168(11), 794-795.\n\nCath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2018). Artificial Intelligence and the \u2018Good Society\u2019: the US, EU, and UK approach. Science and engineering ethics, 24(2), 505-528.\n\nJiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., ... & Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology, 2(4), 230-243.\n\nMittelstadt, B., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 2053951716679679.\n\nReddy, S., & Fox, J. (2017). Artificial intelligence in medicine: where are we now?. Academic Radiology, 24(1), 131-134.\n\nTopol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56.\n\nZhang, X., Kim, J., Patzer, R. E., Pitts, S. R., Patzer, A., & Schrager, J. D. (2019). Prediction of Emergency Department Hospital Admission Based on Natural Language Processing and Neural Networks. Methods of information in medicine, 56(05), 377-389.", "metadata": null} +{"prompt": "Write a song about catfish in the style of Bob Dylan.", "search_helpful": false, "source": "arena_hard", "label": "HMAC, or Hash-based Message Authentication Code, is a specific type of message authentication code (MAC) involving a cryptographic hash function and a secret cryptographic key. It's used to verify both the data integrity and the authenticity of a message at the same time.\n\nThe HMAC process involves several steps:\n\n1. Input Parameters: HMAC requires two inputs - a secret key (K) and the message or data (M) that needs to be authenticated. It also requires a cryptographic hash function (H), such as SHA-256 or SHA-3.\n\n2. Key Padding: If the secret key (K) doesn't match the block size of the hash function (usually 512 bits for SHA-2), it's either padded or truncated to fit.\n\n3. Inner Padding: The padded key (K) is then subjected to XOR (exclusive OR) operations with two fixed values known as the inner and outer padding constants (ipad and opad). The ipad is used to XOR with the key before hashing, while the opad is used to XOR with the key after hashing.\n\n4. Inner Hash: The inner padding (ipad XOR K) is combined with the message (M), and this combined value is hashed using the chosen hash function (H). This produces an intermediate hash result, denoted as H(ipad XOR K || M).\n\n5. Outer Hash: The outer padding (opad XOR K) is combined with the intermediate hash result from the previous step (H(ipad XOR K || M)), and this combined value is hashed again using the same hash function (H). This final hash operation yields the HMAC, represented as H(opad XOR K || H(ipad XOR K || M)).\n\nThe output of the second hash operation is the HMAC. This is a fixed-size value that can be appended to the message to create a MAC, which verifies the integrity and authenticity of the message.", "metadata": null} +{"prompt": "Write a php project to open a MySQL database called Bob, and receive fields field1, field2 via http post and store in database", "search_helpful": false, "source": "arena_hard", "label": "You walk 1700 steps every 15 minutes, so in one hour (which is 60 minutes), you walk 1700 * 4 = 6800 steps.\n\nTo reach 40,000 steps, you would need 40,000 / 6800 = approximately 5.88 hours. \n\nSo, it would take you almost 6 hours to hit 40,000 steps at your current pace.", "metadata": null} +{"prompt": "Write a chrome plugin that saves the contents of the current page", "search_helpful": false, "source": "arena_hard", "label": "Gradio is a Python library that allows you to quickly create customizable UI components around your models. It's not specifically designed for visualizing pandas dataframes, but you can certainly use it to create an interface that displays dataframe content.\n\nHere's a simple example of how you might do this:\n\n```python\nimport gradio as gr\nimport pandas as pd\n\n# Create a pandas dataframe\ndf = pd.DataFrame({\n 'A': [1, 2, 3, 4],\n 'B': [10, 20, 30, 40],\n 'C': ['apple', 'banana', 'cherry', 'date']\n})\n\ndef show_df():\n return df.to_string()\n\niface = gr.Interface(fn=show_df, inputs=[], outputs=\"text\")\niface.launch()\n```\n\nIn this example, we're creating a simple Gradio interface with no inputs and a single text output. The function `show_df` returns the string representation of the dataframe, which is then displayed in the Gradio interface.\n\nPlease note that this is a very basic example. Gradio is capable of much more complex interfaces, including those with multiple inputs and outputs, and interfaces that include interactive elements like sliders, dropdowns, and buttons.", "metadata": null} +{"prompt": "I am migrating from MacOS Mojave running Safari 14 to a new Mac running Safari 17 under MacOS Sonoma. I want Safari on my new Mac to automatically open with all the tabs open on my old Mac. Note that Safari 14 does not support iCloud tabs, and that I do *not* want to have to manually open each tab as I have hundreds of them!", "search_helpful": false, "source": "arena_hard", "label": "I. Introduction to Java\n A. History and Evolution of Java\n B. Features of Java\n C. Understanding Java Environment Setup\n D. Basic Syntax and Naming Conventions\n\nII. Java Basics\n A. Data Types and Variables\n B. Operators\n C. Control Flow Statements (If-else, switch, loops)\n D. Arrays and Strings\n\nIII. Object-Oriented Programming in Java\n A. Classes and Objects\n B. Inheritance\n C. Polymorphism\n D. Abstraction\n E. Encapsulation\n F. Interfaces\n\nIV. Java Advanced Concepts\n A. Exception Handling\n B. Multithreading\n C. Collections Framework\n D. Generics\n E. File I/O\n F. Networking\n\nV. Java Libraries and Frameworks\n A. Java Standard Edition (Java SE)\n B. Java Enterprise Edition (Java EE)\n C. Java Micro Edition (Java ME)\n D. Popular Frameworks (Spring, Hibernate)\n\nVI. Java GUI Programming\n A. AWT\n B. Swing\n C. JavaFX\n\nVII. Database Connectivity\n A. JDBC\n B. Java Persistence API (JPA)\n\nVIII. Testing and Debugging in Java\n A. JUnit\n B. Debugging Techniques\n\nIX. Best Practices and Design Patterns in Java\n A. Code Efficiency\n B. Design Patterns\n C. Secure Coding\n\nX. Java Development Tools\n A. Integrated Development Environments (IDEs)\n B. Build Tools (Maven, Gradle)\n C. Version Control (Git)\n\nXI. Java in the Real World\n A. Web Application Development\n B. Mobile Application Development\n C. Enterprise Application Development\n\nXII. Keeping Up-to-Date and Further Learning\n A. Java Community Process (JCP)\n B. Exploring New Java Features and Updates\n C. Advanced Topics (Cloud Computing, Big Data, AI)\n D. Certifications and Career Opportunities in Java\n\nRemember, practice is key when learning a programming language. Try to work on small projects or problems to apply the concepts you learn.", "metadata": null} +{"prompt": "A bug got into the computer case causing the software to bug out which was really starting to bug me but at least we discovered that no one had bugged the room. \nWhat does each instance of the word bug mean in the above sentence. ", "search_helpful": false, "source": "arena_hard", "label": "Creating a Long Short-Term Memory (LSTM) model from scratch involves several steps. Here's a step-by-step guide on how to do it:\n\n1. **Import Necessary Libraries**: First, you need to import the necessary libraries. You will need Keras, which is a high-level neural networks API, capable of running on top of TensorFlow, CNTK, or Theano.\n\n```python\nimport numpy as np\nfrom keras.models import Sequential\nfrom keras.layers import LSTM, Dense\n```\n\n2. **Prepare the Dataset**: LSTM models are used for sequence prediction problems. So, you need to prepare your dataset in such a way that it becomes a sequence prediction problem. You can use numpy to prepare the dataset.\n\n```python\ndata = [[i for i in range(100)]]\ndata = np.array(data, dtype=float)\ntarget = [[i for i in range(1,101)]]\ntarget = np.array(target, dtype=float)\n```\n\nIn this example, we are trying to predict the next number in the sequence.\n\n3. **Reshape the Dataset**: LSTM expects the input to be in the format (Number of samples, Number of time steps, Number of features per time step). So, reshape your dataset to match this.\n\n```python\ndata = data.reshape((1, 1, 100)) \ntarget = target.reshape((1, 1, 100))\n```\n\n4. **Define the LSTM Model**: Now, define your LSTM model. Use the Sequential model from Keras and add an LSTM layer to it. The number of neurons in the LSTM layer will be 100 as we are working with 100 features. The input shape will be 1 time step with 100 features.\n\n```python\nmodel = Sequential() \nmodel.add(LSTM(100, input_shape=(1, 100), return_sequences=True))\nmodel.add(Dense(100))\nmodel.compile(loss='mean_absolute_error', optimizer='adam', metrics=['accuracy'])\n```\n\n5. **Train the Model**: Now, train your model with the dataset. You can use the fit function in Keras for this. Let's train it for 1000 epochs.\n\n```python\nmodel.fit(data, target, epochs=1000, batch_size=1, verbose=2, validation_data=(data, target))\n```\n\n6. **Predict**: After training, you can use the model to predict. Let's predict for the training data itself.\n\n```python\nprediction = model.predict(data)\n```\n\n7. **Evaluate the Model**: Finally, evaluate your model to see how well it has learned the sequence.\n\n```python\nprint(prediction)\nprint(target)\n```\n\nThis is a very basic example of how to create an LSTM model from scratch. Depending on your specific problem, you might need to preprocess your data differently, add more layers to your model, or use different parameters for training.", "metadata": null} +{"prompt": "Find a fix for this bug : \n```This model maximum context length is 2048 tokens. However, your messages resulted in over 2364 tokens.```", "search_helpful": false, "source": "arena_hard", "label": "Yes, in Node.js, you can implement a pull-based stream using the built-in stream module. The stream module provides the foundation for all streaming APIs in Node.js. \n\nHere's a basic example of how you can create a readable stream:\n\n```javascript\nconst { Readable } = require('stream');\n\nclass CustomReadableStream extends Readable {\n constructor(options) {\n super(options);\n // Custom initialization\n }\n\n _read(size) {\n // Here you can push data to the stream\n // This function will be called when the consumer of this stream is ready to receive more data\n }\n}\n\nconst stream = new CustomReadableStream();\nstream.on('data', (chunk) => {\n console.log(`Received ${chunk.length} bytes of data.`);\n});\nstream.on('end', () => {\n console.log('There will be no more data.');\n});\n```\n\nIn this example, the `_read` method is a placeholder for your own implementation that fetches data and pushes it to the stream. This method is called when the consumer of the stream is ready to receive more data, effectively making it a pull-based stream.\n\nRemember that you should not call the `_read` method directly. It is called by the internal Readable class methods only.", "metadata": null} +{"prompt": "I want you to act as an experienced software developer. I will provide information about a web app requirements. It will be your job to come up with a system connection architecture, a specific list of helper code libraries, a clear list of 5 sprint tickets from the project setup, and a detailed list of tasks for each of such tickets to develop an scalable and secure app with NodeJS, SQL and React. My request is this: 'I desire a system that allow users to register and save information related to mechanical devices inventory (name, reference, quantity, etc) according to their roles. There will be user, staff and admin roles. Users should be able to read all and to update individual records. Staff could also add new records and submit bulk updates. Admin also should create and eliminate entities like ddbb fields and users'. Implement the best practices on your proposal", "search_helpful": false, "source": "arena_hard", "label": "XPath Injection is a type of attack that manipulates the query to access unauthorized data. To prevent this, you should use parameterized queries or prepared statements. Here is how you can modify your Java code to make it not vulnerable to XPath Injection:\n\n```java\nimport javax.xml.xpath.*;\nimport org.xml.sax.InputSource;\nimport org.w3c.dom.NodeList;\n\npublic class SecureXPath {\n public NodeList getUserNode(String user, String pass) {\n XPathFactory xPathfactory = XPathFactory.newInstance();\n XPath xpath = xPathfactory.newXPath();\n NodeList nodes = null;\n try {\n XPathExpression expr = xpath.compile(\"/users/user[@name=$user and @pass=$pass]\");\n SimpleVariableResolver vr = new SimpleVariableResolver();\n vr.addVariable(null, \"user\", user);\n vr.addVariable(null, \"pass\", pass);\n xpath.setXPathVariableResolver(vr);\n nodes = (NodeList) expr.evaluate(new InputSource(new StringReader(xml)), XPathConstants.NODESET);\n } catch (XPathExpressionException e) {\n e.printStackTrace();\n }\n return nodes;\n }\n\n private static class SimpleVariableResolver implements XPathVariableResolver {\n private final Map variables = new HashMap<>();\n\n public void addVariable(String namespaceURI, String localName, Object value) {\n variables.put(new QName(namespaceURI, localName), value);\n }\n\n @Override\n public Object resolveVariable(QName variableName) {\n return variables.get(variableName);\n }\n }\n}\n```\n\nIn this code, we are using `XPathVariableResolver` to safely inject the user and pass variables into the XPath expression. This way, even if the user input contains malicious XPath, it will not be evaluated as part of the XPath expression, but instead as a literal string, preventing XPath Injection.", "metadata": null} +{"prompt": "I need to connect a list of FBIDs found in support tickets (the dim_tier1_job_final table) to a list of page IDs found in a target list. Unfortunately, our support tickets typically don't include a page ID. How can I connect these two lists of data in Daiquery?", "search_helpful": false, "source": "arena_hard", "label": "Yes, it is correct to say that all chess mistakes can be categorized as either allowing something (like a checkmate or loss of a piece) or missing something (like an opportunity to capture an opponent's piece or to create a strategic advantage). This can be a useful way to structure your teaching software tool.\n\nIn terms of algorithm base structure, you can create a decision tree or a rule-based system that analyzes each move based on these two categories. Here's a simple example of how this might work:\n\n1. For each move, the algorithm first checks if the move allows something. This could be a checkmate, a fork, a pin, or any other disadvantageous situation. If the move does allow something, the algorithm can flag it as a mistake and provide an explanation.\n\n2. If the move doesn't allow anything disadvantageous, the algorithm then checks if the move misses something. This could be a missed opportunity to capture an opponent's piece, to create a strategic advantage, or to prevent an opponent's plan. If the move does miss something, the algorithm can flag it as a mistake and provide an explanation.\n\n3. If the move doesn't allow anything disadvantageous and doesn't miss anything, the algorithm can classify it as a good move.\n\nThis is a simplified example, and the actual implementation would likely be more complex. For instance, the algorithm would need to consider multiple moves ahead and weigh the potential advantages and disadvantages of different moves. But this basic structure of checking for allowed and missed opportunities could be a good starting point.", "metadata": null} +{"prompt": "A company is having transhipment problems where they need to ship all the goods from the plants to all of the destinations at the minimum possible transportation cost.\n\n \n\nThe plantations, which are the origin of the network, have the following details:\n\nArea\tProduction \nDenver\t600\nAtlanta\t400\nHouston\t500\n \n\nThe Retail Outlets, which are the destination of the network, have the following details: \n\nRetail Outlets\tDemand\nDetriot\t 300\nMiami\t 250\nDallas\t 450\nNew Orleans\t 500\n \n\nTransportation costs from Plants to Warehouses (intermediate destination)\n\nPlant/Warehouse\tKansas City\tLousville\nDenver\t3\t2\nAtlanta\t2\t1\nHouston\t4\t3\n \n\nTransportation costs from Warehouses to Retail Outlets\n\nDetriot\tMiami\tDallas\tNew Orleans\nKansas City\t2\t6\t3\t5\nLousville\t4\t4\t6\t5\n \n\n\nWhat is the minimum cost that can be achieved for this transhipment problem? \n[ Select ]\n\n\n\nWhat will be the effect on the total cost of the optimal solution if Denver can also directly ship to all the Retail Outlets at $6 cost? \n[ Select ]\n\nWhat would happen if there is a maximum capacity of 350 units on all flows? \n[ Select ]\n\nWhat is the total netflow of the network? \n[ Select ]\n\nIn a situation where there is a maximum capacity of 350 units on all flows and all plants can directly ship to all retail outlets at $5, which of the following statements is true? \n[ Select ]\n\n\nStatement 1: The total cost of the optimal solution would decrease.\nStatement 2: There would be no flows in Lousville.\nStatement 3: To achieve the optimal solution, all plants will have to ship their products directly to the retail outlets.", "search_helpful": false, "source": "arena_hard", "label": "Title: The Alignment Problem: Machine Learning and Human Values\n\nAuthor: Brian Christian\n\nSynopsis and Themes:\n\n\"The Alignment Problem\" is a deep dive into the world of artificial intelligence (AI) and machine learning. The book explores the challenges and complexities of aligning AI systems with human values. The \"alignment problem\" refers to the difficulty of ensuring that AI and machine learning systems behave in ways that are beneficial to humans and reflect our values, ethics, and preferences.\n\nThe book is divided into three parts. The first part provides a historical overview of AI, tracing its development from the early days of symbolic AI to the current era of machine learning. The second part delves into the technical aspects of the alignment problem, discussing issues such as the difficulty of specifying objectives, the problem of over-optimization, and the challenge of avoiding unintended consequences. The third part explores potential solutions to the alignment problem, including approaches based on reinforcement learning, inverse reinforcement learning, and cooperative inverse reinforcement learning.\n\nThroughout the book, Christian emphasizes the importance of interdisciplinary collaboration in addressing the alignment problem. He argues that solving this problem requires not only technical expertise but also insights from fields such as philosophy, psychology, and social science.\n\nAnalysis:\n\n\"The Alignment Problem\" is a comprehensive and accessible exploration of one of the most pressing issues in AI research. Christian's writing is clear and engaging, making complex technical concepts understandable to a general audience. The book is also notable for its breadth of coverage, drawing on a wide range of sources and perspectives.\n\nChristian's analysis highlights the urgency of the alignment problem. He argues that as AI systems become more powerful and autonomous, the stakes of misalignment become increasingly high. At the same time, he also emphasizes the potential of AI to contribute to human flourishing if we can successfully align it with our values.\n\nBibliography of Related Reading:\n\n1. \"Superintelligence: Paths, Dangers, Strategies\" by Nick Bostrom\n2. \"Human Compatible: Artificial Intelligence and the Problem of Control\" by Stuart Russell\n3. \"Life 3.0: Being Human in the Age of Artificial Intelligence\" by Max Tegmark\n4. \"Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy\" by Cathy O'Neil\n5. \"The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World\" by Pedro Domingos\n6. \"Artificial Intelligence: A Guide for Thinking Humans\" by Melanie Mitchell\n7. \"Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots\" by John Markoff\n8. \"The Book of Why: The New Science of Cause and Effect\" by Judea Pearl and Dana Mackenzie.", "metadata": null} +{"prompt": "Joe the trainer has two solo workout plans that he offers his clients: Plan A and Plan B. Each client does either one or the other (not both). On Monday there were 9 clients who did Plan A and 7 who did Plan B. On Tuesday there were 3 clients who did Plan A and 5 who did Plan B. Joe trained his Monday clients for a total of 12 hours and his Tuesday clients for a total of 6 hours. How long does each of the workout plans last? length of each plan A workout? length of each plan B workout", "search_helpful": false, "source": "arena_hard", "label": "Question:\n\nA small object of mass 0.5 kg is attached to a string of length 1.5 m and is being whirled in a horizontal circular path at a constant speed of 8 m/s. \n\n(a) Calculate the centripetal force acting on the object. (3 marks)\n\n(b) If the speed of the object is doubled, what effect does this have on the centripetal force? (2 marks)\n\n(c) If the string breaks, describe the motion of the object immediately after. (2 marks)\n\nMark Scheme:\n\n(a) \n- Use the formula for centripetal force: F = mv^2/r\n- Substitute the given values into the formula: F = 0.5 kg * (8 m/s)^2 / 1.5 m\n- Calculate the result.\n\n(b) \n- State that the centripetal force is proportional to the square of the speed.\n- Explain that if the speed is doubled, the centripetal force will increase by a factor of four.\n\n(c) \n- State that the object will move in a straight line.\n- Explain that this is due to Newton's first law of motion, as there is no longer a centripetal force acting on the object to keep it in circular motion.\n\nAnswer:\n\n(a) F = mv^2/r = 0.5 kg * (8 m/s)^2 / 1.5 m = 21.33 N\n\n(b) The centripetal force is proportional to the square of the speed. Therefore, if the speed is doubled, the centripetal force will increase by a factor of four.\n\n(c) The object will move in a straight line. This is due to Newton's first law of motion, as there is no longer a centripetal force acting on the object to keep it in circular motion.", "metadata": null} +{"prompt": "Write functionality to print the rxdataF variable in c:\nru->common.rxdataF = (int32_t**)malloc16(ru->nb_rx*sizeof(int32_t*) );\nru->common.rxdataF[i] = (int32_t*)malloc16_clear(sizeof(int32_t)*(NUMBER_RX_BUFFERS*fp->symbols_per_slot*fp->ofdm_symbol_size) ); ", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple AutoLISP routine that you can use to delete the ACAD_DGNLINESTYLECOMP dictionary entity in AutoCAD:\n\n```lisp\n(defun c:del_dgnlinestylecomp (/ dict_name dict_obj)\n (setq dict_name \"ACAD_DGNLINESTYLECOMP\")\n (if (setq dict_obj (namedobjdict))\n (if (dictsearch dict_obj dict_name)\n (progn\n (command \"-purge\" \"D\" dict_name \"\" \"N\")\n (princ (strcat \"\\n\" dict_name \" dictionary has been deleted.\"))\n )\n (princ (strcat \"\\n\" dict_name \" dictionary does not exist.\"))\n )\n (princ \"\\nError: No named object dictionary found.\")\n )\n (princ)\n)\n```\n\nThis routine first checks if the named object dictionary exists. If it does, it then checks if the ACAD_DGNLINESTYLECOMP dictionary exists within it. If it does, it purges it. If it doesn't, it prints a message saying that the dictionary does not exist. If the named object dictionary does not exist, it prints an error message.\n\nTo use this routine, you would load it into AutoCAD using the APPLOAD command, and then run it by typing `del_dgnlinestylecomp` at the command line.\n\nPlease note that this routine uses the `-purge` command to delete the dictionary, which means that it will only delete it if it is not being used by any other objects. If the dictionary is being used, you will need to delete those objects first.", "metadata": null} +{"prompt": "Please rewrite the following pseudo C code as an equivalent code that is easier to read (assume that every variable works, even if it's not defined):\n\n```\nhandleCmdLineArgs(char *param_1)\n{\n uint uVar2;\n uint uVar3;\n int iVar4;\n char *pcVar5;\n char cVar1;\n \n uVar3 = 0xffffffff;\n uVar2 = 0;\n iVar4 = 0;\n pcVar5 = param_1;\n do {\n if (uVar3 == 0) break;\n uVar3 = uVar3 - 1;\n cVar1 = *pcVar5;\n pcVar5 = pcVar5 + 1;\n } while (cVar1 != '\\0');\n if (0 < (int)(~uVar3 - 2)) {\n do {\n uVar2 = RK_CheckSJIS(uVar2 & 0xffffff00 | (uint)(byte)param_1[iVar4]);\n if (uVar2 == 1) {\n iVar4 = iVar4 + 1;\n }\n else if (param_1[iVar4] == '/') {\n uVar2 = uVar2 & 0xffffff00 | (uint)(byte)param_1[iVar4 + 1] | 0x20;\n if ((char)uVar2 == 'w') {\n IsWindowedMode = 1;\n }\n else if ((char)uVar2 == 'f') {\n IsWindowedMode = 0;\n }\n }\n iVar4 = iVar4 + 1;\n } while (iVar4 < (int)(~uVar3 - 2));\n }\n}\n```", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple Python function that solves a quadratic equation using the quadratic formula:\n\n```python\nimport cmath\n\ndef solve_quadratic(a, b, c):\n # calculate the discriminant\n d = (b**2) - (4*a*c)\n\n # find two solutions\n sol1 = (-b-cmath.sqrt(d))/(2*a)\n sol2 = (-b+cmath.sqrt(d))/(2*a)\n\n return sol1, sol2\n```\n\nThis function takes three arguments, `a`, `b`, and `c`, which are the coefficients of a quadratic equation in the form `ax^2 + bx + c = 0`. It calculates the discriminant and then uses it to find the two solutions of the equation. The `cmath` module is used to handle square roots of negative numbers, which can occur if the equation has complex solutions.", "metadata": null} +{"prompt": "show me the steps to build an invoice app using phython", "search_helpful": false, "source": "arena_hard", "label": "You can use the following regular expression to detect all `` elements containing the specified string. This regex also takes into account possible line breaks:\n\n```regex\n]*?transform=\"matrix\\(0\\.998638,0,0,-0\\.998638,0\\.39215,439\\.799858\\)\"[\\s\\S]*?<\\/g>\n```\n\nHere's the breakdown of the regex:\n\n- `]*?` : Matches the start of a `` tag and any characters that are not `>` in a non-greedy way.\n- `transform=\"matrix\\(0\\.998638,0,0,-0\\.998638,0\\.39215,439\\.799858\\)\"` : Matches the exact string `transform=\"matrix(0.998638,0,0,-0.998638,0.39215,439.799858)\"`. Note that `(`, `)`, and `.` are escaped because they have special meanings in regex.\n- `[\\s\\S]*?` : Matches any character (including line breaks) in a non-greedy way.\n- `<\\/g>` : Matches the end of a `` tag.\n\nPlease note that this regex assumes that the `transform` attribute and its value are exactly as you provided and that they do not contain any extra spaces. If there might be extra spaces, you would need to adjust the regex accordingly.", "metadata": null} +{"prompt": "I am expensing airfare costs with my employer, and the reporting software asks me to specify the GST/HST portion of the expense. Reading the invoice for my flight from Toronto, through Montreal, to Las Vegas, I see a base fare (CAD) of 164.99, Total V.A.T/G.S.T/H.S.T. of $15, and Other Taxes of 132.12. The total invoice then sums to 312.11 CAD. I have never seen a bill with 2 tax categories like this and am not sure how the $15 and 132.12 were calculated, and which I should report as GST/HST in my company's expense report. Can you help me better understand how to correctly report the HST on my airfare?", "search_helpful": false, "source": "arena_hard", "label": "Sure, I'd be happy to help you solve this problem. This is a common problem in computer science and is often solved using a binary search algorithm. Here's a step-by-step solution:\n\n1. First, we need to make sure that the first array is the smaller one. If `nums1` is larger than `nums2`, we swap them.\n\n```python\nif len(nums1) > len(nums2):\n nums1, nums2 = nums2, nums1\n```\n\n2. Now, we initialize two pointers, `i` and `j`. `i` will be used to binary search `nums1`, and `j` will be calculated based on `i`. The initial value of `i` is 0, and the end value is the length of `nums1`.\n\n```python\ni = 0\nj = len(nums1)\n```\n\n3. We start the binary search. The condition of the while loop is `i <= j`. Inside the loop, we first calculate `i` as the middle of the start and end.\n\n```python\nmid = (i + j) // 2\n```\n\n4. Then, we calculate `j` as `(len(nums1) + len(nums2) + 1) // 2 - mid`. This ensures that the elements on the left side (including `nums1[0...i-1]` and `nums2[0...j-1]`) are less or equal to the elements on the right side (including `nums1[i...]` and `nums2[j...]`).\n\n5. We then check if we've found the correct position. If `nums1[i-1] <= nums2[j]` and `nums2[j-1] <= nums1[i]`, we've found the correct `i` and `j`.\n\n6. If not, we need to adjust `i` and `j`. If `nums1[i-1] > nums2[j]`, we move `i` to the left side; otherwise, we move `i` to the right side.\n\n7. After the binary search, we've found the correct `i` and `j`. The median is the maximum of `nums1[i-1]` and `nums2[j-1]` if the total length is odd, or the average of the maximum of `nums1[i-1]` and `nums2[j-1]` and the minimum of `nums1[i]` and `nums2[j]` if the total length is even.\n\nHere's the complete Python code:\n\n```python\ndef findMedianSortedArrays(nums1, nums2):\n if len(nums1) > len(nums2):\n nums1, nums2 = nums2, nums1\n\n i = 0\n j = len(nums1)\n while i <= j:\n mid = (i + j) // 2\n left = (len(nums1) + len(nums2) + 1) // 2 - mid\n\n nums1_im1 = nums1[mid-1] if mid > 0 else float('-inf')\n nums1_i = nums1[mid] if mid < len(nums1) else float('inf')\n nums2_jm1 = nums2[left-1] if left > 0 else float('-inf')\n nums2_j = nums2[left] if left < len(nums2) else float('inf')\n\n if nums1_im1 <= nums2_j and nums2_jm1 <= nums1_i:\n if (len(nums1) + len(nums2)) % 2 == 0:\n return max(nums1_im1, nums2_jm1), min(nums1_i, nums2_j)\n else:\n return max(nums1_im1, nums2_jm1)\n elif nums1_im1 > nums2_j:\n j = mid - 1\n else:\n i = mid + 1\n```\n\nThis algorithm has a time complexity of O(log(min(m, n))) because it performs a binary search on the smaller array. The space complexity is O(1) because it only uses a constant amount of space.", "metadata": null} +{"prompt": "Act as Chief Information Officer and write 3 S.M.A.R.T. goals on creating an IT Incident response plan with detailed table top exercises over the next 6 months. ", "search_helpful": false, "source": "arena_hard", "label": "I'm sorry for the confusion, but there seems to be a misunderstanding. There is no such library as \"LattPy\" in Python for creating Voronoi patterns or lattice fills. \n\nHowever, you can use the `scipy` library's `spatial` module to create Voronoi diagrams, and the `matplotlib` library to visualize them. Here is a simple example:\n\n```python\nimport matplotlib.pyplot as plt\nfrom scipy.spatial import Voronoi, voronoi_plot_2d\nimport numpy as np\n\n# Create a set of points\npoints = np.array([[0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2]])\n\n# Create Voronoi object\nvor = Voronoi(points)\n\n# Plot\nvoronoi_plot_2d(vor)\nplt.show()\n```\n\nIf you want to create a lattice structure, you might want to look into the `ase` (Atomic Simulation Environment) library, which has built-in functions for creating different types of lattices.\n\nIf you're looking for a specific functionality or library, could you please provide more details? I'd be happy to help further.", "metadata": null} +{"prompt": "You are Chief Information Officer and act like one. Write a weekly activity report in the form of titles and bullet statements. Summarize and include the following information: Key Updates from IT (strategic iniatives)\n\no\tSecurity/Communications with Madison Industries\no\tThe internal/external Pentesting is continuing this week and is planned to end this Friday. We should get an outbrief and report early next week. Greenpages has been extremely thorough and have a more extensive approach than our previous Evolve Pentests. \no\tTracking Pentest remediation priorities 1 of 10 remain. Upgrading exchange servers for Dev.\no\tMonth Security call with Ken Holmes on Tuesday, June 20. Conducted a review of cyber risk compared to all of Madison companies. \n\uf0a7\tStreck is ranked 7 of 39 companies for overall readiness score (1 Red, 5 Yellow, 3 Green)\n\uf0a7\tDiscussed our rating on KnowBe4 Security training being Yellow with 63 account not completing training. The list of 63 included group accounts and accounts that needed deleted. The real number is 4 people that need to complete training. We are following up with those 4 individuals today.\no\tKen and I also discussed Strecks plans for AI and Incident response. Ken has added me to the Madison committees for both topics. \no\tKen stated that Madison will have the IT Leaders meeting at the GreenPages conference in OCTober. He has asked me to attend. I had budgeted for 2-3 IT attendees.\nOn-Prem Exchange Retirement\n\uf0a7\tMadison has determined ASAP \n\uf0a7\tInfrastructure has stood up and is testing replacement solution\n\uf0a7\tDave S, Doug V, Will J, Justin B, Molly M and Scott M met on 6/9/2023 \n\uf0a7\t10 of 18 applications remain\n\no\tArtificial Intelligence Planning\no\tPriya and I had a followup meeting with Troy Bothwell to view 4 AI FY24 proposal projects that we can look at using off the shelf or home grown AI solutions. Troy/I are building a justification and business case for a Weather AI app and a warehouse Slotting app to be presented to John for priority projects for CY24. I am coordinating with other Omaha leaders in IT and Manufacturing to get use case best practices and suggestions for Off the shelf solutions. If home grown solutions will need to be considered, It will have to look at a consulting solution as our team does not have that skillset currently. \no\tI met with John S and Chris from R&D on 2 separate projects.\n\uf0a7\tCapstone project of automating multiple instrument pdf\u2019s. the instruments generate 100\u2019s of pdf files that need to be manually replicated and then printed. An app can be created to b", "search_helpful": false, "source": "arena_hard", "label": "If you failed to take the required minimum distribution (RMD) from your inherited IRA, the IRS imposes a 50% penalty on the amount that should have been withdrawn but wasn't. However, there are steps you can take to potentially minimize or even eliminate this penalty:\n\n1. **Withdraw the amount as soon as possible**: The IRS may waive the penalty if you can demonstrate that the shortfall was due to reasonable error and that you are taking steps to remedy the situation. So, the first thing you should do is withdraw the missed RMD amount as soon as you realize the mistake.\n\n2. **File IRS Form 5329**: You should file IRS Form 5329, \"Additional Taxes on Qualified Plans (Including IRAs) and Other Tax-Favored Accounts,\" as soon as possible. This form is used to report additional taxes on IRAs and other qualified retirement plans. Part VIII of this form is specifically for RMDs that were not taken.\n\n3. **Request a waiver**: On Form 5329, you can also request a waiver of the 50% penalty. You'll need to attach a letter of explanation detailing why you missed the RMD deadline. The IRS will review your situation and may waive the penalty if they find your reasons satisfactory.\n\n4. **Consult a tax professional**: Given the complexity of tax laws and potential penalties, it's a good idea to consult with a tax professional or financial advisor. They can help you navigate the process and potentially help you avoid penalties.\n\nRemember, it's important to take RMDs on time to avoid penalties. If you have multiple retirement accounts, you may want to consider consolidating them to make managing RMDs easier.", "metadata": null} +{"prompt": "how can i use css flexbox to put an image on the same line as a paragraph and have the paragraph automatically format itself around the top and bottom of the picture", "search_helpful": false, "source": "arena_hard", "label": "As a manager, it's crucial to balance the needs of the project with the well-being of the team members. Here are the steps I would take:\n\n1. Private Discussion: I would first arrange a private meeting with the team member to discuss their performance. It's important to approach this conversation with empathy and understanding, given their personal challenges. I would express my concerns about their work quality, but also ask about their well-being and if there's anything they feel is impacting their performance.\n\n2. Offer Support: Depending on the nature of their personal challenges, I might suggest resources available through the company, such as an Employee Assistance Program, or flexible working hours if possible. It's important to show that the company cares about their well-being, not just their output.\n\n3. Set Clear Expectations: I would clearly communicate the quality of work expected and the impact of their performance on the team and project. I would also discuss potential strategies for improvement and ask for their input on how they think they can meet these expectations.\n\n4. Provide Training or Mentorship: If the team member is struggling with the tasks assigned, I would consider providing additional training or pairing them with a mentor who can guide them.\n\n5. Monitor Progress: After implementing these measures, I would closely monitor their progress. Regular check-ins can provide opportunities for feedback and adjustments as needed.\n\n6. Re-evaluate Workload: If there's no improvement, I might need to re-evaluate their workload. This could involve redistributing tasks among the team or bringing in additional help. This decision should be made carefully, considering the potential impact on team dynamics and morale.\n\n7. Document Everything: Throughout this process, it's important to document all discussions and actions taken. This can protect both the manager and the employee in case of potential disputes or misunderstandings.\n\n8. Maintain Confidentiality: It's crucial to respect the employee's privacy and only share information about their personal situation if they have given permission and it's necessary for the team's understanding.\n\nBy taking these steps, I would aim to support the team member in improving their performance, while also ensuring the project's success. It's important to remember that everyone can have off periods, and a supportive, understanding approach can often yield the best results.", "metadata": null} +{"prompt": "I'm having trouble with css. I have two buttons in a parent container and I want one to be left aligned and the other right aligned but using flex for responsive reasons.", "search_helpful": false, "source": "arena_hard", "label": "Deep Double Descent is a phenomenon observed in the training of machine learning models, particularly deep learning models. It refers to a U-shaped curve that appears when plotting the test error against model complexity. This curve shows that after reaching a point of minimum error, increasing the model complexity initially leads to an increase in test error (overfitting), but then, surprisingly, the error decreases again. This second descent, hence the term \"double descent\", contradicts the traditional understanding of the bias-variance tradeoff.\n\nThe concept of deep double descent is related to the number of parameters in the model, the amount of training data, and the amount of noise in the data. When the number of parameters is less than the number of data points, we are in the under-parameterized regime, and the model is likely to underfit. When the number of parameters is equal to the number of data points, we are in the interpolation threshold. Beyond this point, we enter the over-parameterized regime, where the model starts to overfit. However, if we continue to increase the number of parameters, we eventually reach a point where the test error starts to decrease again, marking the second descent.\n\nGradient Descent is an optimization algorithm used to minimize some function by iteratively moving in the direction of steepest descent as defined by the negative of the gradient. In machine learning, we use gradient descent to update the parameters of our model. Gradient descent is used to find the optimal parameters that minimize the error of our model on the training data.\n\nEarly stopping is a form of regularization used to avoid overfitting when training a learner with an iterative method, such as gradient descent. This is done by stopping the training process before the learner passes the point where performance on the test data begins to decrease.\n\nThe relationship between these concepts is that they all deal with the optimization of machine learning models. Deep double descent provides a more nuanced understanding of how model complexity affects test error, which can inform strategies for model selection and regularization. Gradient descent is a method for finding the model parameters that minimize the training error, and early stopping is a method for preventing overfitting by halting the training process at an appropriate point. Understanding these concepts and how they interact is crucial for training effective machine learning models.", "metadata": null} +{"prompt": "%%writefile app.py\nimport streamlit as st\nimport pandas as pd\nimport io\nimport joblib\nimport base64\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport datetime\nfrom sklearn import tree\nfrom sklearn.tree import _tree\nimport numpy as np\n\n# Function to upload and generate predictions\ndef upload_and_generate_predictions():\n # File upload and prediction code\n def get_base64(bin_file):\n with open(bin_file, \"rb\") as f:\n data = f.read()\n return base64.b64encode(data).decode()\n\n def set_background(png_file):\n bin_str = get_base64(png_file)\n page_bg_img = (\n \"\"\"\n \n \"\"\"\n % bin_str\n )\n st.markdown(page_bg_img, unsafe_allow_html=True)\n\n set_background(\"Screenshot (29).png\")\n red_title = '

Equipment Failure Prediction

'\n\n # Display the red title using st.markdown\n st.markdown(red_title, unsafe_allow_html=True)\n # Display the custom CSS style\n uploaded_file = st.file_uploader(\n \"Upload an Excel or CSV file\", type=[\"xlsx\", \"csv\"]\n )\n if uploaded_file is not None:\n # Read the file into a DataFrame\n if (\n uploaded_file.type\n == \"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet\"\n ): # Excel file\n df = pd.read_excel(uploaded_file, engine=\"openpyxl\")\n else: # CSV file\n df = pd.read_csv(uploaded_file)\n # st.session_state.predictions_df = df\n # st.session_state.uploaded_file=uploaded_file\n\n # Display the first screen\n\n if st.button(\"Generate predictions\"):\n model = joblib.load(\"des_tree_clss.joblib\")\n prediction = \"\"\n if \"machine_status\" in df.columns.to_list():\n prediction = model.predict(df.drop(columns=[\"machine_status\"]))\n else:\n prediction = model.predict(df)\n df[\"Predicted_Status\"] = prediction\n st.success(\"Predictions made successfully!\")\n st.session_state.predictions_df = df\n st.session_state.uploaded_file = uploaded_file\n # Display the modified DataFrame with predictions\n # Save the DataFrame with predictions to st.session_state\n # Move to the second screen (graph display)\ndef display_graph(predictions_df, uploaded_file):\n def get_base64(bin_file):\n with open(bin_file, \"rb\") as f:\n data = f.read()\n return base64.b64encode(data).decode()\n\n def set_background(png_file):\n bin_str = get_base64(png_file)\n page_bg_img = (\n \"\"\"\n \n \"\"\"\n % bin_str\n )\n st.markdown(page_bg_img, unsafe_allow_html=True)\n\n set_background(\"Screenshot (32).png\")\n st.markdown('
', unsafe_allow_html=True)\n st.subheader(\"Early warning Signal:\")\n # Create a DataFrame with the first 10 records with prediction status 1\n df_status_1 = predictions_df[predictions_df[\"Predicted_Status\"] == 1].head(10)\n # Create a DataFrame with all records with prediction status 0\n df_status_0 = predictions_df[predictions_df[\"Predicted_Status\"] == 0].head(10)\n # Combine the DataFrames\n df_combined = pd.concat([df_status_0, df_status_1])\n start_timestamp = datetime.datetime(2023, 1, 1)\n df_combined[\"Synthetic_Timestamp\"] = pd.date_range(\n start=start_timestamp, periods=len(df_combined), freq=\"T\"\n )\n # df_combined['Synthetic_Timestamp'] = pd.date_range(start='2023-01-01', periods=len(df_combined), freq='T')\n plt.figure(figsize=(10, 3))\n sns.scatterplot(\n x=\"Synthetic_Timestamp\",\n y=\"Predicted_Status\",\n hue=\"Predicted_Status\",\n marker=\"o\",\n s=200,\n data=df_combined,\n palette={1: \"red\", 0: \"green\"},\n )\n plt.xticks(rotation=45, ha=\"right\")\n # plt.title(\"Machine Status Prediction - Combined\")\n plt.xlabel(\"Timestamp\")\n plt.ylabel(\"Value\")\n st.pyplot()\n # Create a download link\n st.subheader(\"Download the File with Predictions:\")\n st.write(\"Download the File with Predictions:\")\n # st.markdown(title1, unsafe_allow_html=True)\n modified_file_name = (\n f\"file_with_predictions_{uploaded_file.name}\"\n if uploaded_file.name\n else \"file_with_predictions.xlsx\"\n )\n\n # Convert DataFrame to binary stream\n modified_file = io.BytesIO()\n if (\n uploaded_file.type\n == \"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet\"\n ): # Excel file\n predictions_df.to_excel(modified_file, index=False, engine=\"xlsxwriter\")\n else: # CSV file\n predictions_df.to_csv(modified_file, index=False)\n modified_file.seek(0)\n # Create a download link\n st.download_button(\n label=\"Download File with Predictions\",\n data=modified_file,\n file_name=modified_file_name,\n key=\"download_file_with_predictions\",\n )\n # Rules functions\n def get_rules(tree, feature_names, class_names):\n tree_ = tree.tree_\n feature_name = [\n feature_names[i] if i != _tree.TREE_UNDEFINED else \"undefined!\"\n for i in tree_.feature\n ]\n\n paths = []\n path = []\n\n def recurse(node, path, paths):\n\n if tree_.feature[node] != _tree.TREE_UNDEFINED:\n name = feature_name[node]\n threshold = tree_.threshold[node]\n p1, p2 = list(path), list(path)\n p1 += [f\"({name} <= {np.round(threshold, 3)})\"]\n recurse(tree_.children_left[node], p1, paths)\n p2 += [f\"({name} > {np.round(threshold, 3)})\"]\n recurse(tree_.children_right[node], p2, paths)\n else:\n path += [(tree_.value[node], tree_.n_node_samples[node])]\n paths += [path]\n\n recurse(0, path, paths)\n\n # sort by samples count\n samples_count = [p[-1][1] for p in paths]\n ii = list(np.argsort(samples_count))\n paths = [paths[i] for i in reversed(ii)]\n\n rules = []\n for path in paths:\n rule = \"if \"\n\n for p in path[:-1]:\n if rule != \"if \":\n rule += \" and \"\n rule += str(p)\n rule += \" then \"\n if class_names is None:\n rule += \"response: \" + str(np.round(path[-1][0][0][0], 3))\n else:\n classes = path[-1][0][0]\n l = np.argmax(classes)\n rule += f\"class: {class_names[l]} (proba: {np.round(100.0*classes[l]/np.sum(classes),2)}%)\"\n rule += f\" | based on {path[-1][1]:,} samples\"\n rules += [rule]\n\n return rules\n st.subheader(\"Model Explainability:\")\n model = joblib.load(\"des_tree_clss.joblib\")\n rules = get_rules(model, predictions_df.columns, range(2))\n table_list = []\n for r in rules:\n colon_split = r.split(\":\")\n col_1 = colon_split[0]\n pipe_split = str(colon_split[1] + colon_split[2]).split(\"|\")\n # print(colon_split)\n # print(pipe_split)\n col_2 = pipe_split[0]\n col_3 = pipe_split[1]\n table_list.append([col_1, col_2, col_3])\n table_df = pd.DataFrame(\n table_list, columns=[\"rule_details\", \"class_probabilities\", \"samples_count\"]\n )\n rules_data_file = io.BytesIO()\n table_df.to_csv(rules_data_file, index=False)\n rules_data_file.seek(0)\n\n # Create a download link\n st.download_button(\n label=\"Model Explainability\",\n data=rules_data_file,\n file_name=\"rules_data.csv\",\n key=\"download_rules_data\",\n )\n# Run the app\nif __name__ == \"__main__\":\n st.set_option(\"deprecation.showPyplotGlobalUse\", False)\n st.set_page_config(page_title=\"Equipment Failure Prediction\", page_icon=\"\ud83d\udcc8\")\n pages = [\"Upload and Predict\", \"Graph and Download\"]\n page = st.sidebar.selectbox(\"Select a page\", pages)\n if page == \"Upload and Predict\":\n upload_and_generate_predictions()\n elif page == \"Graph and Download\":\n if hasattr(st.session_state, \"predictions_df\"):\n display_graph(\n st.session_state.predictions_df, st.session_state.uploaded_file\n )\n else:\n st.warning(\"Please upload a file on the 'Upload and Predict' page first.\")\nthis is mu code inthis i have a scatterplot graph i want to modify the code in a way that draw ploltly graph usw click events of ploltly when i click the instance of the circle it should give descion rule for the instance using lime.after graph if i click one circle or instance lime table and rule list should print there it self you can add download predictions and model explananbility in new side bar", "search_helpful": false, "source": "arena_hard", "label": "The peer's work provides a comprehensive overview of the historical use of natural stone in Swedish architecture, the challenges faced in its use, and the problems encountered in the conservation and restoration of natural stone structures today. However, there are several areas where the summary could be further developed.\n\n1. Content of the sources: The peer's work could benefit from a more detailed description of the content of the sources. For example, the peer could provide more specific examples from the sources to illustrate the points made. The peer could also delve deeper into the content of the sources, such as discussing the specific types of natural stone used in Swedish architecture, the specific challenges faced in using these stones, and the specific methods used in the conservation and restoration of these structures.\n\n2. Critical evaluation of the sources: The peer's work could also benefit from a more critical evaluation of the sources. For example, the peer could discuss the strengths and weaknesses of the sources, such as their reliability, validity, and relevance to the topic. The peer could also discuss any biases or limitations in the sources, and how these might affect the interpretation of the information.\n\n3. Description of how the sources relate to each other: The peer's work could provide a more detailed description of how the sources relate to each other. For example, the peer could discuss how the sources complement or contradict each other, and how they collectively contribute to the understanding of the topic. The peer could also discuss how the sources build on each other, and how they collectively advance the field of knowledge.\n\nIn a future degree project, the selection of sources could be developed by including a wider range of sources, such as academic articles, books, reports, and primary sources. The peer could also consider using interdisciplinary sources, such as sources from the fields of architecture, history, geology, and conservation science. This would provide a more comprehensive and nuanced understanding of the topic. The peer could also consider using more recent sources, to ensure that the information is up-to-date and relevant.", "metadata": null} +{"prompt": "Devise a way to parse the dataframe in python using a bytestream without actually downloading the whole code ", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a Python function that uses the pandas library to achieve this. This function assumes that the 'date' column is already sorted in ascending order. If not, you may need to sort the dataframe by date before applying the function.\n\n```python\nimport pandas as pd\n\ndef longest_win_streak(df):\n # Create a new column 'alice_wins' that is 1 when Alice wins and 0 otherwise\n df['alice_wins'] = (df['winner'] == 'Alice').astype(int)\n\n # Calculate the cumulative sum of 'alice_wins', and reset it to 0 whenever Alice loses\n df['alice_streak'] = df['alice_wins'] * (df['alice_wins'].groupby((df['alice_wins'] == 0).cumsum()).cumcount() + 1)\n\n # Return the maximum value of 'alice_streak', which is the longest win streak\n return df['alice_streak'].max()\n\n# Test the function\ndata = {'date': pd.date_range(start='1/1/2020', periods=10), \n 'winner': ['Alice', 'Bob', 'Alice', 'Alice', 'Bob', 'Alice', 'Alice', 'Alice', 'Bob', 'Alice']}\ndf = pd.DataFrame(data)\nprint(longest_win_streak(df))\n```\n\nThis function works by first creating a new column 'alice_wins' that is 1 when Alice wins and 0 otherwise. Then it calculates the cumulative sum of 'alice_wins', but resets it to 0 whenever Alice loses. The maximum value of this cumulative sum is the longest win streak by Alice.", "metadata": null} +{"prompt": "How to write a program in Python to calculate flight path ", "search_helpful": false, "source": "arena_hard", "label": "Designing a radar system to detect a 155mm artillery shell is a complex task that involves a deep understanding of radar technology, signal processing, and electronics. Here's a basic outline of the steps you might take:\n\n1. **Radar Type Selection**: For this application, you would likely want to use a Pulse-Doppler radar system. This type of radar is capable of detecting both the speed and distance of a target, which would be crucial for detecting and tracking an artillery shell.\n\n2. **Frequency Selection**: The frequency of the radar will determine its resolution and range. Higher frequencies can provide better resolution but have a shorter range. For this application, you might want to use a frequency in the X-band (8-12 GHz) or the S-band (2-4 GHz).\n\n3. **Antenna Design**: The antenna is a critical component of the radar system. It needs to be designed to transmit and receive signals at the chosen frequency. For a vehicle-mounted system, you would likely want to use a phased array antenna, which can electronically steer the radar beam without physically moving the antenna.\n\n4. **Signal Processing**: The radar system will need to process the received signals to detect and track the artillery shell. This will involve filtering out noise, detecting the shell's echo, and calculating its speed and distance. This will require advanced algorithms and high-speed digital electronics.\n\n5. **Integration**: The radar system will need to be integrated into the vehicle. This will involve designing a mounting system, providing power and data connections, and ensuring that the system can withstand the harsh conditions of a battlefield.\n\n6. **Testing and Calibration**: Once the radar system is built, it will need to be tested and calibrated. This will involve testing the system's performance under a variety of conditions and making any necessary adjustments.\n\n7. **Safety and Compliance**: The radar system will need to comply with all relevant safety and regulatory standards. This may involve obtaining certification from regulatory bodies.\n\nPlease note that this is a high-level overview and the actual design process would be much more detailed and complex. It would require a team of experts in radar technology, electronics, signal processing, and mechanical engineering.", "metadata": null} +{"prompt": "Provide python code to calculate pie infinitely ", "search_helpful": false, "source": "arena_hard", "label": "Method Number | Method Description | Expected Outcome\n--- | --- | ---\n1 | Start your day with a healthy breakfast and a short exercise routine. | This will boost your energy levels and mental clarity, setting a positive tone for the day.\n2 | Prioritize your tasks using the Eisenhower Box, dividing them into 'urgent', 'important', 'not urgent', and 'not important'. | This will help you focus on what truly matters, reducing the time spent on less important tasks.\n3 | Break down larger tasks into smaller, manageable parts using the Pomodoro Technique (25 minutes of focused work followed by a 5-minute break). | This will make daunting tasks seem more manageable and reduce the likelihood of procrastination.\n4 | Set specific, measurable, achievable, relevant, and time-bound (SMART) goals for each day. | This will give you a clear direction and a sense of purpose, increasing your motivation to start working.\n5 | End your day by preparing a to-do list for the next day. | This will help you hit the ground running the next morning, reducing the time spent deciding what to do.", "metadata": null} +{"prompt": "give me JavaScript code to calculate pi", "search_helpful": false, "source": "arena_hard", "label": "The decision to put device drivers in the kernel or in userspace depends on several factors such as performance, stability, security, and complexity.\n\n1. Performance: Kernel space drivers usually have better performance because they have direct access to hardware and there is no context switch overhead. If your real-time operating system requires high performance, it might be better to put the device drivers in the kernel.\n\n2. Stability: Userspace drivers can improve system stability. If a userspace driver crashes, it won't bring down the whole system unlike a kernel space driver. So, if stability is a major concern, userspace drivers might be a better choice.\n\n3. Security: Userspace drivers are generally considered more secure because they run in a restricted environment and have limited access to the system resources. They can't directly access the hardware or kernel memory. This isolation can prevent a faulty or malicious driver from causing system-wide damage.\n\n4. Complexity: Writing drivers for kernel space can be more complex than writing them for userspace because kernel programming is generally more difficult and error-prone.\n\nIn conclusion, there is no one-size-fits-all answer. The decision should be based on the specific requirements and constraints of your real-time operating system.", "metadata": null} +{"prompt": "Write a C# program that calculates the pi up to 5 decimals and then XOR's the result twice.", "search_helpful": false, "source": "arena_hard", "label": "In PHP, you can manage coroutines using the Swoole extension. Swoole is an asynchronous programming framework for PHP. It allows you to write asynchronous PHP code using coroutines.\n\nHowever, Swoole does not provide a built-in way to limit the number of coroutines that can run concurrently. You would need to implement this functionality yourself.\n\nHere is a simple example of how you might do this using a semaphore:\n\n```php\nclass CoroutinePool\n{\n private $semaphore;\n\n public function __construct(int $concurrency)\n {\n $this->semaphore = new \\Swoole\\Coroutine\\Channel($concurrency);\n }\n\n public function addJob(callable $job)\n {\n $this->semaphore->push(true);\n \\Swoole\\Coroutine::create(function () use ($job) {\n try {\n $job();\n } finally {\n $this->semaphore->pop();\n }\n });\n }\n}\n\n$pool = new CoroutinePool(5); // Limit to 5 concurrent coroutines\n\nfor ($i = 0; $i < 10; $i++) {\n $pool->addJob(function () use ($i) {\n echo \"Starting job $i\\n\";\n \\Swoole\\Coroutine::sleep(1); // Simulate some work\n echo \"Finished job $i\\n\";\n });\n}\n\n\\Swoole\\Event::wait(); // Wait for all coroutines to finish\n```\n\nIn this example, a `CoroutinePool` class is created that uses a Swoole channel as a semaphore to limit the number of concurrent coroutines. When a job is added to the pool, it first pushes a value into the channel. If the channel is full (i.e., the concurrency limit has been reached), this operation will block until there is space in the channel. After the job is finished, it pops a value from the channel to make space for another coroutine.\n\nPlease note that this is a very basic example and might not cover all edge cases. Also, Swoole is a PECL extension and is not included in PHP by default. You would need to install it separately.\n\nAs of now, PHP 8.2 is not released yet, so make sure to check the compatibility of Swoole with the PHP version you are using.", "metadata": null} +{"prompt": "how can I index large codebase so I can traverse on output variable to get all the intermediate variables used to calculate that specific output variable", "search_helpful": false, "source": "arena_hard", "label": "Weekly Activity Report: Chief Information Officer\n\n1. Key Updates from IT (Strategic Initiatives)\n - Continued Security Communications with Madison Industries\n - Ongoing internal/external Pentesting with Greenpages, set to conclude this week\n - Tracking Pentest remediation priorities: 1 of 10 remaining, focused on upgrading exchange servers for Dev\n\n2. Monthly Security Call with Ken Holmes\n - Reviewed cyber risk across all Madison companies, Streck ranked 7th out of 39 in overall readiness score\n - Addressed KnowBe4 Security training rating, identified 4 individuals needing to complete training\n - Discussed Streck's plans for AI and Incident response, joined Madison committees for both topics\n - Confirmed attendance at the IT Leaders meeting at the GreenPages conference in October\n\n3. On-Prem Exchange Retirement\n - Madison determined ASAP for retirement\n - Infrastructure team testing replacement solution\n - Met with team members on 6/9/2023, 10 of 18 applications remain\n\n4. Artificial Intelligence Planning\n - Follow-up meeting with Troy Bothwell to review 4 AI FY24 proposal projects\n - Building a business case for a Weather AI app and a warehouse Slotting app for CY24\n - Coordinating with Omaha IT and Manufacturing leaders for best practices and suggestions for AI solutions\n\n5. Collaboration with R&D\n - Met with John S and Chris to discuss two separate projects\n - Discussed Capstone project of automating multiple instrument PDFs, exploring app creation for automation", "metadata": null} +{"prompt": "What is a good way to calculate the nucleation rate for a cosmological phase transition?", "search_helpful": false, "source": "arena_hard", "label": "1. **Case Study Analysis:** Provide students with real-life case studies of ethical dilemmas in social media marketing. Ask them to analyze the situation, identify the ethical issues involved, and propose solutions. They can then present their findings in a class discussion or online forum.\n\n2. **Role-Playing Activity:** Divide students into groups and assign each group a specific role (e.g., social media marketer, consumer, company executive, etc.). Present them with a hypothetical ethical dilemma and ask them to discuss and negotiate a solution from their assigned perspective. \n\n3. **Ethics Debate:** Organize a debate on a controversial topic related to social media marketing ethics, such as data privacy, influencer marketing, or targeted advertising. Students can prepare arguments for both sides and then switch sides to understand different perspectives.\n\n4. **Digital Diary:** Ask students to keep a digital diary for a week, noting down any ethical issues they encounter while using social media. They can then reflect on these issues in a written assignment or class discussion.\n\n5. **Ethical Code Creation:** Have students create their own ethical code for social media marketing. They can research existing codes of ethics and use them as a starting point. This assignment can be done individually or in groups.\n\n6. **Video Reflection:** Students can create a short video where they discuss an ethical dilemma in social media marketing, how it impacts various stakeholders, and possible solutions. This can be shared with the class for further discussion.\n\n7. **Interview Project:** Students can interview professionals in the field of social media marketing about the ethical dilemmas they face and how they handle them. They can then write a reflection paper or create a presentation based on their findings.\n\n8. **Social Media Campaign Critique:** Ask students to find a social media marketing campaign that they believe has ethical issues. They can then write a critique, explaining what the issues are and suggesting improvements.\n\n9. **Ethics Quiz:** Create an online quiz about ethical dilemmas in social media marketing. After completing the quiz, students can reflect on their answers and discuss them with their peers.\n\n10. **Research Paper:** Students can write a research paper on a specific ethical issue in social media marketing. They can explore the issue in depth, discuss its implications, and propose solutions.", "metadata": null} +{"prompt": "write me a python script that will make a DVD screen saver logo bounce around and every time it touches the corner of the screen it will tally a point and display the points on screen", "search_helpful": false, "source": "arena_hard", "label": "Sure, I can help you with that. However, please note that this is a complex operation and it requires window functions which are not supported in all SQL databases. Here is a solution using PostgreSQL:\n\n```sql\nWITH ranked AS (\n SELECT \n account_id, \n day, \n balance,\n LAG(balance) OVER (PARTITION BY account_id ORDER BY day) AS prev_balance,\n LEAD(balance) OVER (PARTITION BY account_id ORDER BY day) AS next_balance\n FROM original_table\n),\ngrouped AS (\n SELECT \n account_id, \n balance, \n day AS valid_from,\n COALESCE(\n (SELECT MIN(day) FROM ranked r2 WHERE r2.account_id = r1.account_id AND r2.day > r1.day AND r2.balance != r1.balance) - INTERVAL '1 day',\n (SELECT MAX(day) FROM original_table WHERE account_id = r1.account_id)\n ) AS valid_to\n FROM ranked r1\n WHERE prev_balance IS NULL OR prev_balance != balance\n)\nINSERT INTO new_table (account_id, balance, valid_from, valid_to)\nSELECT * FROM grouped;\n```\n\nThis script first ranks the rows by day for each account, and compares each balance with the previous and next one. Then it groups the rows by account and balance, and sets the valid_from and valid_to dates. If the balance changes, a new row is started. If the balance doesn't change, the valid_to date is extended.\n\nPlease replace `original_table` and `new_table` with your actual table names. Also, please test this script thoroughly before using it in a production environment.", "metadata": null} +{"prompt": "How can i run a gui application on linux when i do not have a screen. I need to test application but it would not start", "search_helpful": false, "source": "arena_hard", "label": "Yes, I can certainly help you with that. You can use the BeautifulSoup library in Python to parse the HTML of a webpage and extract the meta token you're interested in. Here's a basic example of how you might do this:\n\n```python\nimport requests\nfrom bs4 import BeautifulSoup\n\ndef extract_og_image(url):\n # Send a GET request to the webpage\n response = requests.get(url)\n\n # Parse the HTML content of the page with BeautifulSoup\n soup = BeautifulSoup(response.content, 'html.parser')\n\n # Find the 'og:image' meta tag\n og_image = soup.find('meta', property='og:image')\n\n # If the tag is found, return its 'content' attribute, otherwise return None\n return og_image['content'] if og_image else None\n\n# Test the function\nurl = 'https://www.example.com'\nprint(extract_og_image(url))\n```\n\nThis script sends a GET request to the specified URL, parses the HTML content of the page, and then searches for a `` tag with a `property` attribute of `'og:image'`. If such a tag is found, the function returns the value of its `'content'` attribute, which should be the URL of the image. If no such tag is found, the function returns `None`.\n\nPlease replace `'https://www.example.com'` with the URL of the webpage you're interested in.\n\nRemember to install the necessary libraries by running `pip install requests beautifulsoup4` in your terminal before running the script.", "metadata": null} +{"prompt": "what database schema can be used for store social graph links", "search_helpful": false, "source": "arena_hard", "label": "Sure, I can guide you on how to create a top menu with dropdown and nested submenu using Vue3 and Tailwind CSS. \n\nFirst, you need to install Vue3 and Tailwind CSS in your project. You can do this by running the following commands:\n\n```bash\n# Install Vue3\nnpm install vue@next\n\n# Install Tailwind CSS\nnpm install tailwindcss@latest postcss@latest autoprefixer@latest\n```\n\nThen, you can create a new Vue3 component for your menu. Here's a basic example:\n\n```vue\n\n\n\n```\n\nThis is a simple dropdown menu. If you want to add a nested submenu, you can add another `div` inside the dropdown `div` and use the same structure.\n\nPlease note that this is a basic example and you might need to adjust it according to your needs. Also, you need to handle the dropdown and submenu open/close logic by yourself. You can use Vue3's `v-show` directive to show/hide the dropdown and submenu based on certain conditions.", "metadata": null} +{"prompt": "I have a scale of 1 to 7. 1 being the best and 7 the worst. How do I create an index between 0 an 1 where 1 is the best. Can you write a python function that takes in the number and returns the index?", "search_helpful": false, "source": "arena_hard", "label": "No, it's not possible to update the shell.nix file and have the changes take effect while you're inside the nix-shell. The shell.nix file is read when the nix-shell command is run, and it sets up the environment based on the state of the file at that time. \n\nIf you want to add new packages, you would need to exit the shell, update the shell.nix file, and then re-enter the shell. This is because nix-shell creates an isolated environment for your project, and changes to the outside environment (like updating the shell.nix file) don't affect the inside of the shell.\n\nHere are the steps:\n\n1. Exit the nix-shell by typing `exit` or pressing `Ctrl+D`.\n2. Update the shell.nix file to include the new packages you want.\n3. Re-enter the nix-shell by running `nix-shell` in your terminal. The new packages should now be available.", "metadata": null} +{"prompt": "write python code for fastchat to listen on a port and answer a typed question as well as follow up questions", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's an example of how you might calculate a rolling average for each stock over a specified period (let's say 7 days for this example) in ClickHouse:\n\n```sql\nSELECT \n date,\n article_id,\n avg(stock_a) OVER (PARTITION BY article_id ORDER BY date ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) as rolling_avg_stock_a,\n avg(stock_b) OVER (PARTITION BY article_id ORDER BY date ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) as rolling_avg_stock_b,\n avg(stock_c) OVER (PARTITION BY article_id ORDER BY date ROWS BETWEEN 6 PRECEDING AND CURRENT ROW) as rolling_avg_stock_c\nFROM stocks\nORDER BY date, article_id\n```\n\nThis SQL query will calculate the rolling average of `stock_a`, `stock_b`, and `stock_c` for each `article_id` over a 7-day window (6 preceding days and the current day). \n\nPlease note that ClickHouse does not support the standard SQL syntax for window functions. The above query is written in standard SQL. If you are using ClickHouse, you would need to use a different approach, such as using the `avgIf` function with a condition that specifies the desired date range.", "metadata": null} +{"prompt": "please write me a python matrix bot that can respond to mentions", "search_helpful": false, "source": "arena_hard", "label": "A successful go-to-market (GTM) strategy for a managed services business often involves the following steps:\n\n1. Understand Your Target Market: Identify who your ideal customers are, their needs, and how your services can meet those needs. This includes understanding the size of the businesses you're targeting, their industry, and their specific pain points.\n\n2. Define Your Value Proposition: Clearly articulate what makes your managed services unique and why customers should choose you over competitors. This could be anything from superior customer service, advanced technology, or cost-effectiveness.\n\n3. Build Strong Relationships: Managed services are often long-term commitments, so building strong relationships with clients is crucial. This can be achieved through excellent customer service, regular communication, and demonstrating a clear understanding of their business needs.\n\n4. Develop a Comprehensive Service Portfolio: Offer a wide range of services that cater to different customer needs. This could include IT support, cloud services, cybersecurity, and more. A comprehensive service portfolio can help attract a wider range of customers.\n\n5. Pricing Strategy: Determine a pricing strategy that is competitive yet profitable. This could be a flat-rate monthly fee, pay-per-use, or a tiered pricing model.\n\n6. Marketing and Sales Alignment: Ensure your marketing and sales teams are aligned and working together to attract and close deals. This could involve content marketing, SEO, social media, email marketing, and more to generate leads, and a strong sales team to convert those leads into customers.\n\n7. Partner with Other Businesses: Partnering with other businesses can help you reach a wider audience and offer more comprehensive services. This could be a software company, a hardware vendor, or another managed services provider.\n\n8. Continuous Improvement: Regularly review and update your GTM strategy based on market trends, customer feedback, and business performance. This will help you stay competitive and meet changing customer needs.\n\nRemember, a successful GTM strategy is not a one-size-fits-all approach. It should be tailored to your specific business, target market, and industry.", "metadata": null} +{"prompt": "How can I create chat app using transformers.js with facebook/blenderbot-400m-distill javascript in pure vanilla javascript", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple function to print the `rxdataF` variable in C:\n\n```c\nvoid print_rxdataF(RU_t *ru) {\n int i, j, k;\n for (i = 0; i < ru->nb_rx; i++) {\n printf(\"rxdataF[%d]:\\n\", i);\n for (j = 0; j < NUMBER_RX_BUFFERS; j++) {\n for (k = 0; k < ru->fp->symbols_per_slot * ru->fp->ofdm_symbol_size; k++) {\n printf(\"%d \", ru->common.rxdataF[i][j * ru->fp->symbols_per_slot * ru->fp->ofdm_symbol_size + k]);\n }\n printf(\"\\n\");\n }\n }\n}\n```\n\nThis function assumes that `RU_t` is a structure that contains `nb_rx`, `fp` and `common.rxdataF` as members. `fp` is also assumed to be a structure that contains `symbols_per_slot` and `ofdm_symbol_size` as members. The function iterates over all the elements in `rxdataF` and prints them.\n\nPlease replace `RU_t`, `fp`, `symbols_per_slot`, `ofdm_symbol_size` and `NUMBER_RX_BUFFERS` with your actual data types and values.", "metadata": null} +{"prompt": "how can I run an ai chatbot model using python on very low resource systems, show me some code", "search_helpful": false, "source": "arena_hard", "label": "You can use the `unittest.mock` module in Python to mock `func2`. Here's an example of how you can do it:\n\n```python\nimport unittest.mock as mock\nfrom io import BytesIO\n\n# Assuming your functions are defined like this:\ndef func1():\n buffer = BytesIO()\n func2(buffer)\n # rest of func1\n\ndef func2(buffer):\n buffer.write(b'some data')\n # rest of func2\n\n# You can mock func2 like this:\ndef test_func1():\n with mock.patch('__main__.func2', return_value=None) as mock_func2:\n func1()\n mock_func2.assert_called_once()\n```\n\nIn this example, `mock.patch` is used to replace `func2` with a mock object during the test. The `return_value=None` argument makes the mock object return `None` when it's called, which is the same as the original `func2` since it doesn't return anything.\n\nThe `assert_called_once()` method is used to assert that `func2` was called exactly once during the test. If `func2` is supposed to be called with specific arguments, you can use the `assert_called_once_with(*args, **kwargs)` method instead.\n\nRemember to replace `'__main__.func2'` with the actual import path of `func2` in your code.", "metadata": null} +{"prompt": "I'm making a chess mistake explanation teaching software tool, is it corrrect and useful to say all chess mistakes are either allowing something or missing something? How can this be used as a algorithm base structure?", "search_helpful": false, "source": "arena_hard", "label": "You can use the Evaluator class provided by GluonTS to compute various metrics including mean squared error (MSE) and standard deviation. Here's how you can do it:\n\n```python\nfrom gluonts.evaluation import Evaluator\n\nevaluator = Evaluator(quantiles=[0.1, 0.5, 0.9])\nagg_metrics, item_metrics = evaluator(iter(timeseries), iter(forecasts), num_series=len(test_ds))\n\nprint(agg_metrics)\n```\n\nThe `agg_metrics` dictionary will contain various aggregate metrics including MSE (`MSE`), root mean squared error (`RMSE`), mean absolute percentage error (`MAPE`), etc. The `item_metrics` DataFrame contains the same metrics computed for each individual time series in your test dataset.\n\nIf you want to calculate the standard deviation, you can do it manually from the forecast samples:\n\n```python\nimport numpy as np\n\n# Assuming `forecasts` is your list of forecasts\nstd_devs = [np.std(f.samples, axis=0) for f in forecasts]\n```\n\nThis will give you a list of standard deviations for each forecast in your list.", "metadata": null} +{"prompt": "I am a Ptyhon programmer. I would like you to give me the code for a chess program. I only need to be able to play against myself.", "search_helpful": false, "source": "arena_hard", "label": "Creating a Chrome plugin involves writing code in JavaScript, HTML, and CSS. Here's a basic example of how you might create a plugin to save the contents of the current page. \n\nPlease note that this is a simplified example and may not cover all edge cases or security concerns.\n\n1. Create a new folder on your computer where you'll store the files for your plugin.\n\n2. Inside this folder, create a new file called `manifest.json`. This file tells Chrome everything it needs to know about your plugin. Here's what you might put in your `manifest.json` file:\n\n```json\n{\n \"manifest_version\": 2,\n \"name\": \"Page Saver\",\n \"description\": \"This plugin will save the contents of the current page.\",\n \"version\": \"1.0\",\n \"permissions\": [\n \"activeTab\"\n ],\n \"browser_action\": {\n \"default_icon\": \"icon.png\",\n \"default_popup\": \"popup.html\"\n }\n}\n```\n\n3. Create a new file in your plugin folder called `popup.html`. This file defines what the user sees when they click on your plugin's icon in the Chrome toolbar. Here's what you might put in your `popup.html` file:\n\n```html\n\n\n \n Save Page\n \n \n \n \n \n\n```\n\n4. Create a new file in your plugin folder called `popup.js`. This file will contain the JavaScript that runs when the user clicks on the \"Save Page\" button. Here's what you might put in your `popup.js` file:\n\n```javascript\ndocument.getElementById('saveBtn').addEventListener('click', function() {\n chrome.tabs.query({active: true, currentWindow: true}, function(tabs) {\n var activeTab = tabs[0];\n chrome.tabs.sendMessage(activeTab.id, {\"message\": \"save_page\"});\n });\n});\n```\n\n5. Create a new file in your plugin folder called `content.js`. This file will contain the JavaScript that runs on the current page when the user clicks the \"Save Page\" button. Here's what you might put in your `content.js` file:\n\n```javascript\nchrome.runtime.onMessage.addListener(\n function(request, sender, sendResponse) {\n if( request.message === \"save_page\" ) {\n var pageContent = document.documentElement.outerHTML;\n var blob = new Blob([pageContent], {type: \"text/plain;charset=utf-8\"});\n saveAs(blob, \"page.html\");\n }\n }\n);\n```\n\n6. Finally, you'll need to add your `content.js` file to your `manifest.json` file. Here's what your updated `manifest.json` file might look like:\n\n```json\n{\n \"manifest_version\": 2,\n \"name\": \"Page Saver\",\n \"description\": \"This plugin will save the contents of the current page.\",\n \"version\": \"1.0\",\n \"permissions\": [\n \"activeTab\"\n ],\n \"browser_action\": {\n \"default_icon\": \"icon.png\",\n \"default_popup\": \"popup.html\"\n },\n \"content_scripts\": [\n {\n \"matches\": [\"\"],\n \"js\": [\"content.js\"]\n }\n ]\n}\n```\n\n7. To install your plugin, go to `chrome://extensions/` in your Chrome browser, enable Developer mode, click on \"Load unpacked\", and select your plugin folder.\n\nPlease note that this code uses the `saveAs` function, which is not a built-in JavaScript function. You would need to include a library like FileSaver.js to use this function. Also, this code does not handle saving images, CSS, or JavaScript files that are linked from the page. It only saves the HTML content of the page.", "metadata": null} +{"prompt": "I want to create a slider for a website. unlike the traditional linear slider, the user increases or decreases the radius of a circle. there will be concentric circle markers to let the user know how big the circle they have selected is", "search_helpful": false, "source": "arena_hard", "label": "An inflamed joint, medically known as arthritis, is a condition characterized by swelling, pain, stiffness, and limited movement in one or more joints. It can affect any joint in the body, but it is most common in the knees, hips, hands, and spine. \n\nPresentation: The primary symptoms of an inflamed joint are pain and stiffness, which typically worsen with age. The joint may appear swollen and red, and may feel warm to the touch. The patient may also experience decreased range of motion in the affected joint, and in severe cases, visible deformity may occur. \n\nEmergency Referral Criteria: While joint inflammation is typically a chronic condition managed by a primary care physician or rheumatologist, certain situations may warrant emergency referral. These include sudden onset of severe pain, joint deformity, inability to use the joint, signs of infection such as fever and redness, or if the patient has a history of cancer, immune deficiency, or was recently hospitalized. \n\nCommon Causes: There are several potential causes of joint inflammation. The most common is osteoarthritis, which is caused by wear and tear on the joints over time. Other causes include rheumatoid arthritis, an autoimmune disease that attacks the joints; gout, a form of arthritis caused by excess uric acid in the bloodstream; and lupus, another autoimmune disease. Infections, injuries, and certain metabolic disorders can also cause joint inflammation. \n\nIt's important to note that while joint inflammation is common, especially in older adults, it should not be ignored. If you're experiencing symptoms of an inflamed joint, it's important to seek medical attention to prevent further damage and to manage the condition effectively.", "metadata": null} +{"prompt": "Write a python class \"Circle\" that inherits from class \"Shape\"", "search_helpful": false, "source": "arena_hard", "label": "Dense Passage Retrieval (DPR) is a method for retrieving relevant documents or passages for a given query using dense vector representations. Facebook AI Similarity Search (FAISS) is a library for efficient similarity search and clustering of dense vectors. Here's a general step-by-step guide on how to use DPR with FAISS for document retrieval:\n\n1. **Install the necessary libraries**: You need to install the DPR and FAISS libraries. You can do this using pip:\n\n ```bash\n pip install faiss-cpu torch transformers\n ```\n\n2. **Prepare your data**: You need to have a collection of documents that you want to search through. Each document should be a string of text.\n\n3. **Create DPR embeddings for your documents**: DPR uses a transformer-based model to create dense vector representations of your documents. You can use the `transformers` library to do this:\n\n ```python\n from transformers import DPRContextEncoder, DPRContextEncoderTokenizer\n tokenizer = DPRContextEncoderTokenizer.from_pretrained('facebook/dpr-ctx_encoder-single-nq-base')\n model = DPRContextEncoder.from_pretrained('facebook/dpr-ctx_encoder-single-nq-base')\n inputs = tokenizer(texts, return_tensors='pt', padding=True, truncation=True)\n embeddings = model(**inputs).pooler_output\n ```\n\n Here, `texts` is a list of your documents, and `embeddings` is a tensor of their DPR embeddings.\n\n4. **Create a FAISS index and add your embeddings**: FAISS is used to efficiently search through your embeddings. You can create a FAISS index and add your embeddings to it like this:\n\n ```python\n import faiss\n index = faiss.IndexFlatL2(embeddings.shape[1])\n faiss.normalize_L2(embeddings)\n index.add(embeddings.numpy())\n ```\n\n5. **Create DPR embeddings for your query and search the FAISS index**: When you have a new query, you create a DPR embedding for it in the same way as your documents. Then, you can search the FAISS index to find the most similar documents:\n\n ```python\n query = \"your query\"\n inputs = tokenizer(query, return_tensors='pt')\n query_embedding = model(**inputs).pooler_output\n faiss.normalize_L2(query_embedding)\n D, I = index.search(query_embedding.numpy(), k)\n ```\n\n Here, `k` is the number of documents you want to retrieve, `D` is a list of their distances to the query, and `I` is a list of their indices in the original `texts` list.\n\nRemember that this is a simplified example. In a real application, you would need to handle things like batching for large numbers of documents, and you might want to use a more efficient FAISS index type.", "metadata": null} +{"prompt": "how would you solve the climate change problem. Provide a detailed strategy for the next 20 years", "search_helpful": false, "source": "arena_hard", "label": "Your introduction is clear and concise, providing a good overview of the purpose of the guide. However, you might want to consider adding a bit more context or background information to help readers understand why updating device drivers is important. Here's a revised version:\n\nIntroduction:\nPurpose:\nThe smooth operation of a Windows 11 computer relies heavily on the proper functioning of its various devices, from the graphics card to the keyboard. These devices, in turn, depend on their respective drivers - software that facilitates communication between the device and the operating system. Occasionally, a device may stop working correctly due to outdated or corrupted drivers. While Windows Update typically handles driver updates automatically, there are instances where this feature may be disabled or fail to provide the latest driver version. In such cases, it becomes necessary to manually update the device drivers. This guide provides a detailed 8-step process on how to manually update device drivers using the Device Manager app in Windows 11, ensuring your computer's devices continue to function optimally.", "metadata": null} +{"prompt": "Help me draft a research introduction of this topic \"Data-Driven Insights into the Impact of Climate and Soil Conditions on Durian Floral Induction\"", "search_helpful": false, "source": "arena_hard", "label": "Search term: NUMBER_OF_RECORDS > \"8\" NUMBER_OF_RECORDS < \"15\"", "metadata": null} +{"prompt": "Can you generate a flowchart for the following code : switch (currentState) {\n case IDLE:\n\n break;\n case START:\n\n break;\n\t \n case CHANGE_SPEED:\n\n break;\t \n\t \n case STOP:\n\n break;\n}", "search_helpful": false, "source": "arena_hard", "label": "In Python, you can use a concept called memoization to skip a function call if the same parameters were used before. Memoization is a technique where you store the results of expensive function calls and return the cached result when the same inputs occur again.\n\nHere's a simple example using a dictionary to store previously computed values:\n\n```python\ndef memoize(f):\n memo = {}\n def helper(x):\n if x not in memo: \n memo[x] = f(x)\n return memo[x]\n return helper\n \n\ndef my_expensive_function(x):\n # Simulating an expensive computation\n return x * x\n\nmy_expensive_function = memoize(my_expensive_function)\n```\n\nIn this example, `memoize` is a higher-order function that takes a function `f` and returns a new function that behaves almost exactly like `f`, except that it saves its results in a dictionary.\n\nIf you want to use memoization for functions with multiple parameters, you can use a tuple to store the parameters:\n\n```python\ndef memoize(f):\n memo = {}\n def helper(*args):\n if args not in memo: \n memo[args] = f(*args)\n return memo[args]\n return helper\n```\n\nPython also has a built-in decorator for memoization called `functools.lru_cache`:\n\n```python\nfrom functools import lru_cache\n\n@lru_cache(maxsize=None)\ndef my_expensive_function(x):\n # Simulating an expensive computation\n return x * x\n```\n\nIn this example, `@lru_cache(maxsize=None)` is a decorator that adds memoization to `my_expensive_function`. The `maxsize` argument determines how many recent return values are cached. If `maxsize` is set to `None`, the cache can grow without bound.", "metadata": null} +{"prompt": "obfuscate this funtion for me:\n\nfunction minion\n{ \n $ooo = '16:3'\n $hr = $null\n while ($hr -lt $ooo +\"\"+ $ran) {\n $wsh = New-Object -ComObject WScript.shell\n $wsh.sendkeys('+{F15}')\n $hr = (Get-Date).ToString('HH:mm') \n $ran = (Get-Random -Minimum 1 -Maximum 9)\n Clear-Host\n write-host Checking Ratio: $ran\":\"$hr\":\"$ran\n Start-Sleep -Seconds 58\n }\n}", "search_helpful": false, "source": "arena_hard", "label": "Developing an algorithm to classify dataset types between master data and transactional data involves understanding the characteristics of both types of data. \n\nMaster data is the consistent and uniform set of identifiers and extended attributes that describes the core entities of an enterprise and is used across multiple systems and processes. Examples include customer, product, employee, and vendor data.\n\nTransactional data, on the other hand, is data describing an internal or external event that happens as part of daily business operations, and it changes over time. Examples include sales orders, invoices, delivery notes, and time entries.\n\nHere's a strategy to develop such an algorithm:\n\n1. **Feature Identification**: Identify the features that distinguish master data from transactional data. For instance, master data tends to be more static and less frequently updated than transactional data. It also usually has a unique identifier for each entity. Transactional data, on the other hand, is time-dependent and often linked to master data.\n\n2. **Data Preprocessing**: Clean the data and handle missing values. This step is crucial to ensure the quality of the data used to train the algorithm.\n\n3. **Feature Engineering**: Create new features that might help in the classification task. For example, you could create a feature that measures the frequency of data updates.\n\n4. **Model Selection**: Choose a suitable machine learning model for the classification task. Decision trees, random forests, or support vector machines could be good starting points.\n\n5. **Training and Validation**: Split your dataset into a training set and a validation set. Train your model on the training set and validate its performance on the validation set.\n\n6. **Evaluation**: Evaluate the performance of your model using appropriate metrics, such as accuracy, precision, recall, or F1 score.\n\n7. **Optimization**: Based on the performance of your model, you might need to go back to the feature engineering or model selection steps to improve your model.\n\n8. **Deployment**: Once you're satisfied with your model's performance, you can deploy it to start classifying datasets as either master data or transactional data.\n\nRemember, the success of this algorithm heavily depends on the quality and representativeness of the data you use to train it.", "metadata": null} +{"prompt": "Generate codes of a script that sync all types of content of two separate shared folders on two network computers on a domain ", "search_helpful": false, "source": "arena_hard", "label": "1. [read_aloud]cruz[/read_aloud] [k\u027eu\u0283]\nCross (nm)\n\u2022\t[azuretts]A cruz foi erguida no topo da igreja.[/azuretts] (The cross was erected at the top of the church.)\nCrossroads (nf)\n\u2022\t[azuretts]Paramos na cruz para verificar o caminho.[/azuretts] (We stopped at the crossroads to check the way.)\n\n2. [read_aloud]convidar[/read_aloud] [ko\u0303vi\u02c8\u00f0a\u027e]\nInvite (verb)\n\u2022\t[azuretts]Vou convidar meus amigos para a festa.[/azuretts] (I will invite my friends to the party.)\n\n3. [read_aloud]dist\u00e2ncia[/read_aloud] [di\u0283\u02c8t\u0250\u0303si\u0250]\nDistance (nf)\n\u2022\t[azuretts]A dist\u00e2ncia entre as duas cidades \u00e9 de 100 quil\u00f4metros.[/azuretts] (The distance between the two cities is 100 kilometers.)\n\n4. [read_aloud]car\u00e1cter[/read_aloud] [k\u0250\u02c8\u027eakt\u025b\u027e]\nCharacter (nm)\n\u2022\t[azuretts]Ele \u00e9 conhecido pelo seu bom car\u00e1cter.[/azuretts] (He is known for his good character.)\n\n5. [read_aloud]na\u00e7\u00e3o[/read_aloud] [n\u0250\u02c8s\u0250\u0303w\u0303]\nNation (nf)\n\u2022\t[azuretts]Portugal \u00e9 uma na\u00e7\u00e3o com uma rica hist\u00f3ria.[/azuretts] (Portugal is a nation with a rich history.)\n\n6. [read_aloud]prazo[/read_aloud] [\u02c8p\u027eazu]\nDeadline (nm)\n\u2022\t[azuretts]O prazo para a entrega do trabalho \u00e9 amanh\u00e3.[/azuretts] (The deadline for the delivery of the work is tomorrow.)\n\n7. [read_aloud]separar[/read_aloud] [s\u0268p\u0250\u02c8\u027ea\u027e]\nSeparate (verb)\n\u2022\t[azuretts]Vamos separar os res\u00edduos para reciclagem.[/azuretts] (Let's separate the waste for recycling.)\n\n8. [read_aloud]pior[/read_aloud] [\u02c8pjo\u027e]\nWorse (adj)\n\u2022\t[azuretts]A situa\u00e7\u00e3o est\u00e1 pior do que pens\u00e1vamos.[/azuretts] (The situation is worse than we thought.)\n\n9. [read_aloud]rapaz[/read_aloud] [\u0281\u0250\u02c8pa\u0283]\nBoy (nm)\n\u2022\t[azuretts]O rapaz est\u00e1 a jogar futebol no parque.[/azuretts] (The boy is playing football in the park.)\n\n10. [read_aloud]bra\u00e7o[/read_aloud] [\u02c8b\u027easu]\nArm (nm)\n\u2022\t[azuretts]Ele quebrou o bra\u00e7o durante o jogo.[/azuretts] (He broke his arm during the game.)\n\n11. [read_aloud]pr\u00e9mio[/read_aloud] [\u02c8p\u027e\u025bmiu]\nPrize (nm)\n\u2022\t[azuretts]Ele ganhou o pr\u00e9mio de melhor ator.[/azuretts] (He won the prize for best actor.)\n\n12. [read_aloud]atravessar[/read_aloud] [\u0250t\u027e\u0250v\u025b\u02c8sa\u027e]\nCross (verb)\n\u2022\t[azuretts]Vamos atravessar a rua no sem\u00e1foro.[/azuretts] (Let's cross the street at the traffic light.)", "metadata": null} +{"prompt": "Your goal is to come up with a plan to synthesize HCl! What are the steps?", "search_helpful": false, "source": "arena_hard", "label": "Mocking a module in the `setupFilesAfterEnv` and implementing a different mock in the test file using Jest can be done in the following way:\n\n1. Mocking a module in `setupFilesAfterEnv`:\n\nIn your `setupFilesAfterEnv` file, you can use `jest.mock()` to mock a module. Here's an example:\n\n```javascript\n// setupFilesAfterEnv.js\njest.mock('moduleName', () => {\n return {\n functionName: jest.fn(() => 'Default mock')\n };\n});\n```\n\nIn this example, `moduleName` is the name of the module you want to mock, and `functionName` is the name of the function you want to mock in that module. The function will always return 'Default mock' when it's called.\n\n2. Implementing a different mock in the test file:\n\nIn your test file, you can use `jest.mock()` again to provide a different implementation for the mock. Here's an example:\n\n```javascript\n// testFile.test.js\njest.mock('moduleName', () => {\n return {\n functionName: jest.fn(() => 'Test mock')\n };\n});\n\n// Now when you import the module and use the function, it will return 'Test mock'\nimport { functionName } from 'moduleName';\n\ntest('functionName returns \"Test mock\"', () => {\n expect(functionName()).toBe('Test mock');\n});\n```\n\nIn this example, the `functionName` function will return 'Test mock' instead of 'Default mock' when it's called in this test file.\n\nRemember that the mock implementation in the test file will override the mock implementation in the `setupFilesAfterEnv` file. If you want to use the default mock implementation from `setupFilesAfterEnv` in some tests, you can use `jest.requireActual()` to get the actual implementation, or not provide a second argument to `jest.mock()` to use the default mock.", "metadata": null} +{"prompt": "I've trained a predictor using GluonTS on multiple related datasets. I've got a list of forecasts and timeseries that i created like this:\n forecast_it, ts_it = make_evaluation_predictions(\n dataset=test_ds, # test dataset\n predictor=predictor, # predictor\n num_samples=100, # number of sample paths we want for evaluation\n )\n\n forecasts = list(forecast_it)\n timeseries = list(ts_it)\n\nHow do i calculate the mean squared error and standard deviation and potential other usefull metrics for evaluation.", "search_helpful": false, "source": "arena_hard", "label": "```ruby\nclass PowerPointAssistant\n def initialize\n @categories = [\"text\", \"image\", \"shape\", \"slide\", \"presentation\"]\n end\n\n def categorize_and_check_context(sentence)\n categories = categorize(sentence)\n requires_context = check_context(sentence)\n { \"Categories\" => categories, \"RequiresContext\" => requires_context }\n end\n\n private\n\n def categorize(sentence)\n @categories.select { |category| sentence.include?(category) }\n end\n\n def check_context(sentence)\n case sentence\n when /add text/i\n true\n when /add an image/i\n false\n else\n false\n end\n end\nend\n\n# Example usage:\nassistant = PowerPointAssistant.new\nputs assistant.categorize_and_check_context(\"Make the title text on this slide red\")\n# Output: {\"Categories\"=>[\"text\"], \"RequiresContext\"=>false}\nputs assistant.categorize_and_check_context(\"Add text that\u2019s a poem about the life of a high school student with emojis.\")\n# Output: {\"Categories\"=>[\"text\"], \"RequiresContext\"=>true}\n```", "metadata": null} +{"prompt": "Suppose we have a job monitoring software and we want to implement a module that sends email alerts if a job takes too long to executie. The module should determine what is \"too long\" autonomously, based on the execution history.\n\nWe could calculate the arithmetic mean and standard deviation, and alert if the execution time is e.g. in the high 1%, but:\n1) the execution time may depend on e.g. day of week (e.g. working day/weekend)\n2) the execution time may have a global (upward) trend\n3) the execution time may have sudden jumps due to underlying changes (\"from Jan 1, we'll process both cash and card transactions, and the volume will suddenly jump 5x\")\n\nCan you outline some ideas on how to implement a system like this and address the bulleted points above?", "search_helpful": false, "source": "arena_hard", "label": "To use a package from nixpkgs unstable with nix-shell -p, you need to follow these steps:\n\n1. First, you need to clone the nixpkgs repository from GitHub. You can do this by running the following command in your terminal:\n\n ```\n git clone https://github.com/NixOS/nixpkgs.git\n ```\n\n2. Then, you need to checkout the unstable branch. You can do this by running the following command in your terminal:\n\n ```\n cd nixpkgs\n git checkout nixpkgs-unstable\n ```\n\n3. Now, you can use nix-shell with the -p option to specify the package you want to use. For example, if you want to use the hello package, you would run the following command:\n\n ```\n nix-shell -p hello\n ```\n\n4. If you want to use a specific version of a package, you can specify the version number in the command. For example, if you want to use version 2.10 of the hello package, you would run the following command:\n\n ```\n nix-shell -p 'hello-2.10'\n ```\n\n5. Once you're done using the package, you can exit the nix-shell by running the following command:\n\n ```\n exit\n ```\n\nPlease note that you need to have Nix installed on your system to use nix-shell. If you don't have Nix installed, you can install it by running the following command:\n\n```\ncurl -L https://nixos.org/nix/install | sh\n```", "metadata": null} +{"prompt": "Give me example of blocking read interrupted by signal, with EINTR handling", "search_helpful": false, "source": "arena_hard", "label": "Jetpack Compose doesn't have a direct equivalent to CSS's container queries. However, you can achieve similar functionality by using the `BoxWithConstraints` composable. This composable measures the maximum available space and allows you to adjust the UI based on that.\n\nHere's a simple example:\n\n```kotlin\n@Composable\nfun ResponsiveLayout() {\n BoxWithConstraints {\n val constraints = this.constraints\n if (constraints.maxWidth < 600.dp) {\n // Layout for small screens\n SmallScreenContent()\n } else {\n // Layout for large screens\n LargeScreenContent()\n }\n }\n}\n\n@Composable\nfun SmallScreenContent() {\n // Your composable for small screens\n}\n\n@Composable\nfun LargeScreenContent() {\n // Your composable for large screens\n}\n```\n\nIn this example, `BoxWithConstraints` provides a `Constraints` object that you can use to check the maximum available width and height. You can then use this information to conditionally display different composables or modify the properties of your composables.\n\nRemember that the `maxWidth` and `maxHeight` properties of the `Constraints` object are in pixels, not dp. You can convert pixels to dp using the `Int.toDp()` extension function, but in most cases, you can just compare the pixel values directly.\n\nAlso, note that `BoxWithConstraints` measures the maximum available space, not the actual size of its content. If you need to know the size of the content, you can use the `onGloballyPositioned` modifier to get a `LayoutCoordinates` object, which provides the size and position of the composable.", "metadata": null} +{"prompt": "Please write C++ code to read network packets from a socket on port 888", "search_helpful": false, "source": "arena_hard", "label": "In Akkadian, indirect objects were typically expressed using prepositions, much like in English. The preposition \"ana\" was often used to indicate the indirect object. Here's an example:\n\nAkkadian: \u0161arrum \u0161ap\u0101rum ana \u0113kallim \u0161al\u0101mum \u0161al\u0101m\nInterlinear gloss:\n\u0161arrum (Nominative - the king)\n\u0161ap\u0101rum (Accusative - the letter)\nana (Preposition - to)\n\u0113kallim (Genitive - of the palace)\n\u0161al\u0101mum (Verb - sent)\n\u0161al\u0101m (Nominative - peace)\n\nTranslation: The king sent the letter of peace to the palace.\n\nIn this sentence, \"the king\" is the subject, \"the letter of peace\" is the direct object, and \"to the palace\" is the indirect object. The preposition \"ana\" is used to indicate the indirect object. The Genitive case is used to show possession, in this case, the letter belongs to peace.", "metadata": null} +{"prompt": "my chat bot outputs \" ### Instruction: \" at the end of every response. this only seems to happen after it resizes its context memory. what's the likely cause of this bad output and how can i rectify it?", "search_helpful": false, "source": "arena_hard", "label": "You can extract the type of the `ReactProperties` member object from the `Foo` class using TypeScript's `InstanceType` and `typeof` utilities. Here's how you can do it:\n\n```typescript\nclass Foo {\n ReactProperties: {\n a: string;\n }\n}\n\ntype ReactPropertiesType = Foo['ReactProperties'];\n```\n\nIn this case, `ReactPropertiesType` will be the type of the `ReactProperties` member of the `Foo` class, which is `{ a: string; }`.", "metadata": null} +{"prompt": "Provide step-by-step instructions on how to approach and answer ethical questions", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple example of a folk tune written in ABC notation:\n\n```\nX:1\nT:Simple Folk Tune\nM:4/4\nL:1/4\nK:C\nC2 E2 | G2 E2 | F2 D2 | C4 |\nG2 A2 | B2 A2 | G2 E2 | D4 |\nC2 E2 | G2 E2 | F2 D2 | C4 |\nG2 A2 | B2 A2 | G2 E2 | D4 |\n```\n\nThis is a very basic melody in the key of C major. The rhythm is quite straightforward, with each bar containing four quarter notes (crotchets). The melody moves up and down the scale in a way that is typical of many folk tunes.", "metadata": null} +{"prompt": "There is a game where a player is assigned a list of N unique numbers from 1 to T. Then, each round a number is drawn among the T numbers, excluding the ones that were drawn in the previous rounds. The game ends when all the numbers assigned to the player gets drawn. Write the recursive formula for the expected number of rounds to end the game (i.e. E(N,M))", "search_helpful": false, "source": "arena_hard", "label": "The tar command doesn't have a built-in mechanism to update only changed files from a previous archive. However, you can use rsync command to sync the changes between the backup and the current system. \n\nHere is a basic example of how you can use rsync:\n\n```bash\nrsync -avz --progress /path/to/current/system/ /path/to/backup/\n```\n\nThis command will only update the changed files in the backup directory.\n\nIf you still want to use tar, you would need to create a new archive with the updated files. You can use the find command to find files that have been modified within a certain time period, and then pipe that list to tar. Here is an example:\n\n```bash\nfind /path/to/current/system/ -mtime -30 -print0 | tar -czvf new-backup.tar.gz --null -T -\n```\n\nThis command will find files modified in the last 30 days and create a new archive with those files. Please note that this will not update the old archive but create a new one with the updated files.", "metadata": null} +{"prompt": "In after effects, write an expression to add to the path property of a shape layer so that it draws a 500x500 PX square and the top right corner is rounded", "search_helpful": false, "source": "arena_hard", "label": "Yes, I have a few questions to clarify your requirements:\n\n1. For the line plot that gets updated in real time, could you please specify what data it should display? \n\n2. For the webcam recording, do you want to include audio in the recording or is it just the video feed?\n\n3. What format should the recorded video be saved in?\n\n4. Should the application start recording automatically when the second button is pushed, or should there be a confirmation prompt?\n\n5. What should happen if the user tries to start a new recording while a previous one is still ongoing?\n\n6. What should happen if the user tries to start a recording but the destination field is empty or contains an invalid path?\n\n7. Should the application handle multiple webcams? If so, how should the user select which one to use?\n\n8. What should the application do if the webcam is not available or stops working during a recording?\n\n9. Is there a specific design or layout you want for the GUI, or is the arrangement of the elements as you described the only requirement?\n\n10. Do you have a preference for the GUI's color scheme, fonts, or other aesthetic elements?\n\n11. Do you have any specific requirements for error handling or logging?\n\n12. Do you have any performance requirements, such as a maximum acceptable latency for the webcam feed or the line plot updates?\n\n13. Are there any specific requirements for the file chooser, such as support for network locations or a preview feature?\n\n14. Do you have a deadline for this project?", "metadata": null} +{"prompt": "Give me cron syntax to run a job on weekdays at 19:00 in the new york time zone. pls explain your answer", "search_helpful": false, "source": "arena_hard", "label": "Let's denote the length of each Plan A workout as A and the length of each Plan B workout as B. We know that:\n\n1) On Monday, Joe trained 9 Plan A clients and 7 Plan B clients for a total of 12 hours. This gives us the equation: 9A + 7B = 12.\n\n2) On Tuesday, Joe trained 3 Plan A clients and 5 Plan B clients for a total of 6 hours. This gives us the equation: 3A + 5B = 6.\n\nWe can solve these two equations simultaneously to find the values of A and B. \n\nFirst, let's multiply the second equation by 3 to make the coefficients of A the same in both equations: 9A + 15B = 18.\n\nNow, if we subtract the first equation from this new equation, we get: 8B = 6, so B = 6/8 = 0.75 hours.\n\nSubstituting B = 0.75 into the first equation gives: 9A + 7*0.75 = 12, so 9A = 12 - 5.25 = 6.75, so A = 6.75/9 = 0.75 hours.\n\nSo, each Plan A workout and each Plan B workout lasts 0.75 hours, or 45 minutes.", "metadata": null} +{"prompt": "Write a bash script for automating rclone backups in Arch Linux using systemctl timers, not cron jobs", "search_helpful": false, "source": "arena_hard", "label": "Scope of Work for Waste Management in a Hospital\n\nI. Introduction\n\nThe purpose of this Scope of Work (SOW) is to outline the responsibilities, tasks, and deliverables required for effective waste management in XYZ Hospital. The primary goal is to ensure a clean, safe, and healthy environment for patients, staff, and visitors while adhering to all local, state, and federal regulations regarding medical waste disposal.\n\nII. Scope\n\nThis SOW covers all areas of waste management within the hospital, including but not limited to:\n\n1. Regular waste: This includes non-hazardous waste generated from offices, wards, kitchens, and other areas within the hospital.\n2. Medical waste: This includes all waste that is generated as a result of medical procedures, such as used gloves, bandages, syringes, and other disposable medical supplies.\n3. Hazardous waste: This includes waste that is potentially harmful to humans or the environment, such as chemicals, pharmaceuticals, and radioactive materials.\n4. Electronic waste: This includes discarded electronic equipment like computers, monitors, printers, etc.\n\nIII. Responsibilities\n\nThe waste management contractor will be responsible for:\n\n1. Collection: Regular and timely collection of waste from all designated areas within the hospital.\n2. Segregation: Proper segregation of waste into regular, medical, hazardous, and electronic waste.\n3. Transportation: Safe and secure transportation of waste to the designated disposal or recycling facilities.\n4. Disposal: Proper disposal of waste in accordance with all applicable regulations.\n5. Documentation: Maintaining accurate records of all waste management activities, including collection, segregation, transportation, and disposal.\n6. Training: Providing necessary training to hospital staff on proper waste segregation and disposal procedures.\n7. Compliance: Ensuring compliance with all local, state, and federal regulations regarding waste management.\n\nIV. Deliverables\n\nThe waste management contractor will provide:\n\n1. A detailed waste management plan outlining the procedures for collection, segregation, transportation, and disposal of waste.\n2. Regular reports on waste management activities, including volumes of waste collected, transported, and disposed.\n3. Documentation of compliance with all applicable regulations.\n4. Evidence of training provided to hospital staff.\n\nV. Timeline\n\nThe waste management contractor will begin services on [start date] and continue until [end date], with the possibility of extension based on performance and the needs of the hospital.\n\nVI. Evaluation\n\nThe performance of the waste management contractor will be evaluated based on their adherence to the waste management plan, the accuracy and timeliness of their reporting, their compliance with regulations, and the effectiveness of their training.", "metadata": null} +{"prompt": "I have an interesting problem: I have someone who implements a cryptographic function for me as follows:\n\n- There is a HSM that contains a secret k that I know\n- The HSM creates a derived key using a HKDF\n- The derived key is then usable for communication\n\nAbove operations are deterministic. However, I want that some randomness is being incorporated in order to have perfect forward security. The current idea is to take the deterministic derived key of the HKDF and hash it together with some random number to get a session key as follows: session_key = sha(derived key, random)\n\nBut now I have different problem: On the running system I cannot verify whether the session key is really the product of randomness or whether a backdoor has been implemented. Is there mechanism that allows me to make the procedure verifiable?\n", "search_helpful": false, "source": "arena_hard", "label": "As an AI, I don't have real-time data access, but I can provide a general SWOT analysis based on common factors that might affect a company like Artistree, a custom framing manufacturer, expanding into Europe. \n\nStrengths:\n1. Established Brand: Artistree is a well-established brand in the custom framing industry, which can help it gain recognition in the European market.\n2. Wide Range of Products: Artistree offers a wide range of custom framing options, which can cater to diverse customer needs.\n3. Strong Supply Chain: Artistree's strong supply chain and manufacturing capabilities can ensure consistent product availability.\n\nWeaknesses:\n1. Lack of Local Knowledge: As a new entrant in the European market, Artistree may lack knowledge about local tastes, preferences, and market dynamics.\n2. Currency Fluctuation: Operating in Europe exposes Artistree to currency fluctuation risks, which can impact profitability.\n3. Regulatory Compliance: Europe has strict regulations and standards, non-compliance to which can lead to penalties and harm the brand image.\n\nOpportunities:\n1. Growing Art Market: The European art market is growing, providing ample opportunities for a custom framing company like Artistree.\n2. Eco-friendly Products: There is an increasing demand for eco-friendly products in Europe. Artistree can capitalize on this trend by offering sustainable framing options.\n3. Online Sales: The rise of e-commerce provides an opportunity for Artistree to reach a wider customer base.\n\nThreats:\n1. Intense Competition: The European market has numerous established local and international framing companies, leading to intense competition.\n2. Economic Instability: Economic instability in certain European countries can affect consumer spending and impact sales.\n3. Cultural Differences: Cultural differences across European countries can pose a challenge in terms of product design and marketing strategies. \n\nPlease note that this is a hypothetical analysis and the actual SWOT analysis may vary based on real-time data and market research.", "metadata": null} +{"prompt": "1.Input Parameters: HMAC takes two inputs: a secret key (K) and the message or data (M) that needs to be authenticated. Additionally, it requires a cryptographic hash function (H), such as SHA-256 or SHA-3.\n2.Key Padding: If necessary, the secret key (K) is padded or truncated to match the block size of the hash function (typically 512 bits for SHA-2).\n3.Inner Padding: XOR (exclusive OR) operations are performed on the padded key (K) with two fixed values known as the inner and outer padding constants (ipad and opad). These constants are specific to the HMAC algorithm.\n\uf0b7ipad is used to XOR with the key before hashing.\n\uf0b7opad is used to XOR with the key after hashing.\n4.Inner Hash: The inner padding (ipad XOR K) is concatenated with the message (M), and this combined value is hashed using the chosen hash function (H). This produces an intermediate hash result, denoted as H(ipad XOR K || M).\n5.Outer Hash: The outer padding (opad XOR K) is concatenated with the intermediate hash result from the previous step (H(ipad XOR K || M)), and this combined value is hashed again using the same hash function (H). This final hash operation yields the HMAC, represented as H(opad XOR K || H(ipad XOR K || M)).\nHMAC Output: The output of the second hash operation is the HMAC, which is a fixed-size value that can be appended to the message to create a MAC. Based on above \" Explain about Hmac\"", "search_helpful": false, "source": "arena_hard", "label": "The acceptance/rejection method is a common technique used in computational statistics to generate random variables from a desired distribution. Here's a simplified explanation of the steps you've provided:\n\n1. Choose a random variable Y with a probability density function (pdf) fY that is easy to generate. This is often referred to as the proposal distribution. It should be chosen such that it covers the support of the target distribution (the distribution from which we want to sample), denoted by X with pdf fX. \n\n2. Find a constant c such that the ratio of the target pdf to the proposal pdf is always less than or equal to c. This is to ensure that the proposal distribution envelopes the target distribution.\n\n3. Generate a random sample y from the proposal distribution Y.\n\n4. Generate a random sample u from a uniform (0, 1) distribution.\n\n5. Compare the generated u to the ratio of the target pdf at y to the scaled proposal pdf at y (i.e., fX(y)/(cfY(y))). If u is less than or equal to this ratio, accept y as a sample from the target distribution X. If not, reject y and return to step 3.\n\nThe goal is to make c as small as possible to minimize the number of rejections, making the algorithm more efficient. The \"easiness\" to generate Y is also important as it affects the computational efficiency of the method.", "metadata": null} +{"prompt": "hello, i need a ruby code using sketchup api to draw a cube.", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple Python program that calculates the Elo rating for a chess tournament. This program assumes that you have the initial ratings of two players and the result of the game. \n\n```python\ndef compute_elo_rank(player_rating, opponent_rating, score):\n \"\"\"\n Compute the new Elo rating for a player\n :param player_rating: The previous rating of the player\n :param opponent_rating: The rating of the opponent\n :param score: The score in the game (1 for win, 0.5 for draw, 0 for loss)\n :return: The new Elo rating for the player\n \"\"\"\n # Calculate the expected score\n expected_score = 1 / (1 + 10 ** ((opponent_rating - player_rating) / 400))\n \n # Calculate the new rating\n k_factor = 32\n new_rating = player_rating + k_factor * (score - expected_score)\n return new_rating\n\n# Test the function\nplayer_rating = 2400\nopponent_rating = 2000\nscore = 1 # player won\n\nnew_rating = compute_elo_rank(player_rating, opponent_rating, score)\nprint(f\"New rating: {new_rating}\")\n```\n\nThis program uses the Elo rating system formula to calculate the new rating. The K-factor is set to 32, which is commonly used in chess. The score is 1 for a win, 0.5 for a draw, and 0 for a loss. \n\nPlease note that in a real-world application, you would need to handle multiple games and multiple players, and the initial ratings might not be known in advance. This program is a simplified example and does not handle these complexities.", "metadata": null} +{"prompt": "youll be acting as a senior analyst who is an expert in sql. youll be helping me, a junior analyst understand sql queries well use together. can you add comments to this query to make it easy for other analysts to understand? SELECT ifnull(region,'') region,ifnull(subregion,'') subregion,\navg(COUNT_SERVICE_LINES_USED) avg_ct_sl,count(DISTINCT patientid) ct_patients \nFROM PATIENT_INFO\nGROUP BY cube(1,2) ORDER BY avg_ct_sl DESC", "search_helpful": false, "source": "arena_hard", "label": "The reduced density matrix of the second qubit can be obtained by taking the partial trace over the first qubit. \n\nThe density matrix of the state $\\ket{\\psi}$ is given by $\\rho = \\ket{\\psi}\\bra{\\psi}$, which is:\n\n$$\\rho = \\frac{1}{3}(\\ket{00}\\bra{00} + \\ket{00}\\bra{01} + \\ket{00}\\bra{10} + \\ket{01}\\bra{00} + \\ket{01}\\bra{01} + \\ket{01}\\bra{10} + \\ket{10}\\bra{00} + \\ket{10}\\bra{01} + \\ket{10}\\bra{10})$$\n\nNow, we take the partial trace over the first qubit. The partial trace over the first qubit of $\\ket{ij}\\bra{kl}$ is $\\delta_{ik}\\ket{j}\\bra{l}$, where $\\delta_{ik}$ is the Kronecker delta. \n\nSo, the reduced density matrix of the second qubit is:\n\n$$\\rho_{2} = Tr_{1}(\\rho) = \\frac{1}{3}(\\ket{0}\\bra{0} + \\ket{1}\\bra{1} + \\ket{0}\\bra{0} + \\ket{1}\\bra{1} + \\ket{0}\\bra{0}) = \\frac{1}{3}(2\\ket{0}\\bra{0} + 2\\ket{1}\\bra{1}) = \\frac{2}{3}\\ket{0}\\bra{0} + \\frac{1}{3}\\ket{1}\\bra{1}$$\n\nSo, the reduced density matrix of the second qubit is:\n\n$$\\rho_{2} = \\begin{pmatrix} 2/3 & 0 \\\\ 0 & 1/3 \\end{pmatrix}$$", "metadata": null} +{"prompt": "List potential side-effects or complications of the EU Cyber Resilience Act (CSA) and Product Liability Directive (PLD) as they could relate to individual developers of software", "search_helpful": false, "source": "arena_hard", "label": "I'm sorry for the misunderstanding, but as an AI text-based model, I don't have the ability to directly interact with databases or file systems to execute SQL queries or save files. However, I can certainly help you write the SQL query you need. Here's an example of how you might structure it:\n\n```sql\nWITH female_customers AS (\n SELECT COUNT(*) AS total_female\n FROM Dior\n WHERE gender = 'Female' AND time >= '18:00:00' AND time <= '19:00:00' AND outlet = 'Orchard'\n),\nmale_customers AS (\n SELECT AVG(male_count) AS avg_male\n FROM (\n SELECT COUNT(*) AS male_count\n FROM Dior\n WHERE gender = 'Male' AND outlet = 'MBS' AND (\n (time >= '10:00:00' AND time <= '11:00:00') OR \n (time >= '13:00:00' AND time <= '14:00:00') OR \n (time >= '17:00:00' AND time <= '18:00:00')\n )\n GROUP BY date\n ) AS subquery\n)\nSELECT * INTO dior_seg FROM female_customers, male_customers;\n```\n\nThis query creates a new table `dior_seg` with the total number of female adult customers in the time period 6-7pm in the Orchard outlet and the average number of male adult customers across the specified time periods in the MBS outlet.\n\nTo export this table to a CSV file, you would typically use a command in the PostgreSQL command line interface, like this:\n\n```bash\nCOPY dior_seg TO '/path/to/your/directory/dior_seg.csv' DELIMITER ',' CSV HEADER;\n```\n\nPlease replace '/path/to/your/directory/' with the actual path where you want to save the file. \n\nRemember to adjust the queries according to your actual table structure and data types.", "metadata": null} +{"prompt": "Act as a MIT Computer Scientist. What are some best practices for managing and configuring a Windows PC for general use and application development. Consider multiple user accounts by one user. Consider cybersecurity. Consider a development environment for Github repo.", "search_helpful": false, "source": "arena_hard", "label": "Here is your obfuscated function:\n\n```powershell\nfunction m\n{ \n $a = '16:3'\n $b = $null\n while ($b -lt $a +\"\"+ $c) {\n $d = New-Object -ComObject WScript.shell\n $d.sendkeys('+{F15}')\n $b = (Get-Date).ToString('HH:mm') \n $c = (Get-Random -Minimum 1 -Maximum 9)\n Clear-Host\n write-host Checking Ratio: $c\":\"$b\":\"$c\n Start-Sleep -Seconds 58\n }\n}\n```\n\nIn this obfuscated version, I've replaced the variable names with single letters to make it harder to understand what each variable is for. However, please note that obfuscation is not a secure way to protect your code. It can always be de-obfuscated by someone with enough time and knowledge. If you need to protect your code, consider using encryption or a secure programming language.", "metadata": null} +{"prompt": "In vb.net, create a function that return the cpu usage and ram usage of every programs running on the computer. it should return as a list of Pgr, with Pgr being an item containing the name, the ram usage and the cpu usage of a program.", "search_helpful": false, "source": "arena_hard", "label": "Here is a one-liner Python code using lambda function and list comprehension to get a list of prime numbers from 1 to 200:\n\n```python\nprime_list = [num for num in range(2, 201) if all(num%i!=0 for i in range(2, int(num**0.5)+1))]\n```\n\nThis code works by iterating over the numbers from 2 to 200 and checking if the current number is not divisible by any number in the range from 2 to the square root of the current number. If the current number is not divisible by any of these numbers, it is a prime number and is added to the list.", "metadata": null} +{"prompt": "Technical details of GDDR6 and GDDR7, no qualitative info, only precise details. Include Memory Bandwidth example calculations for 2500MHz with both technologies.", "search_helpful": false, "source": "arena_hard", "label": "I'm sorry to hear about the issue you're experiencing with your Injection Molding Machine. Here are some steps you can take to troubleshoot the problem:\n\n1. **Check the Oil Level**: The first thing you should do is check the oil level in the tank. If the oil level is too low, the pump may not be able to generate pressure. \n\n2. **Inspect the Oil Filter**: If the oil level is fine, the next step is to inspect the oil filter. A clogged filter can restrict the flow of oil, preventing the pump from generating pressure. If the filter is clogged, replace it.\n\n3. **Examine the Oil Pump**: If the oil level and filter are fine, the problem may lie with the oil pump itself. Check for any signs of damage or wear. If the pump is damaged, it may need to be replaced.\n\n4. **Check the Relief Valve**: The relief valve is designed to open when the pressure gets too high, but if it's stuck open, it could be preventing the system from building up pressure. Inspect the valve and replace it if necessary.\n\n5. **Inspect the Hydraulic Lines**: If there's a leak in the hydraulic lines, the pump may not be able to generate enough pressure. Check all the lines for signs of leaks and repair or replace them as necessary.\n\n6. **Check the Electrical Connections**: If the motor is not getting enough power, it may not be able to drive the pump effectively. Check all the electrical connections and make sure they're secure.\n\nRemember, always follow safety procedures when working on industrial machinery. If you're not comfortable performing these checks yourself, it may be best to call in a professional.", "metadata": null} +{"prompt": "How can I concatenate two gpx files on the Linux command line?", "search_helpful": false, "source": "arena_hard", "label": "Here are the categorized issues and their counts:\n\n1. Synchronization Issues: 2\n - Planner-Loadboard Sync Issue\n - Loadboard-Planner Task Sync Issue\n\n2. Loadboard Issues: 7\n - Loadboard job display error\n - Access issues with LB2 & Finishing Toolset shortcuts at PEI-111\n - Access issues with LB2 workstation\n - Loadboard crashes and login issues\n - LB2 Loadboard Tool Error\n - Loadboard server error\n - Loadboard Malfunction - Urgent!\n\n3. Task Issues: 2\n - \"Daily Task Board Setup\"\n - Missing Task for Press in 3 Hours\n\n4. Job Issues: 1\n - \"Cancelled jobs tasks remain in LB2\"\n\n5. Filter Issues: 1\n - Filter not catching FSC MC\n\n6. Deployment Issues: 2\n - Deployment delays causing downtime\n - West Allis MLS HDSS Header Update\n\n7. Other Issues: 1\n - Presort error for Cafe Sheet batch", "metadata": null} +{"prompt": "User\nCreate a function in C# to merge word documents into one using OpenXML SDK. From the first document should be taken the first 2 pages, header, footer and design like fonts and styles, and from the second file only page contents and glossary. Both files could contain images.", "search_helpful": false, "source": "arena_hard", "label": "Creating a bass line generator in Python is a complex task that requires knowledge of music theory and programming. Here's a simple example of how you might start to approach this. This code will generate a simple bass line based on a given key signature, chord progression, and number of bars. \n\nThis code uses the `mingus` library, which is a music theory library in Python. You can install it using pip:\n\n```bash\npip install mingus\n```\n\nHere's the Python code:\n\n```python\nimport random\nfrom mingus.containers import Note, Bar\nfrom mingus.containers import NoteContainer\nfrom mingus.extra import lilypond\n\ndef generate_bass_line(key, chord_progression, num_bars):\n bass_line = []\n for i in range(num_bars):\n chord = chord_progression[i % len(chord_progression)]\n root_note = Note(chord + key)\n bass_note = random.choice(NoteContainer(root_note.determine(chord, True)).get_notes())\n bass_line.append(bass_note)\n return bass_line\n\ndef create_bass_line_bars(bass_line, num_bars):\n bars = []\n for i in range(num_bars):\n bar = Bar()\n for note in bass_line:\n bar.place_notes(note, 4) # assuming 4/4 time signature\n bars.append(bar)\n return bars\n\ndef main():\n key = \"C\"\n chord_progression = [\"I\", \"IV\", \"V\", \"IV\"]\n num_bars = 12\n\n bass_line = generate_bass_line(key, chord_progression, num_bars)\n bars = create_bass_line_bars(bass_line, num_bars)\n\n for bar in bars:\n lilypond.from_Bar(bar)\n\nif __name__ == \"__main__\":\n main()\n```\n\nThis code generates a bass line by choosing a random note from the chord that corresponds to the current bar in the progression. It then places this note in a bar, and repeats this process for the specified number of bars. The resulting bass line is then outputted in LilyPond notation, which can be used to create sheet music.\n\nPlease note that this is a very basic example and does not take into account many aspects of bass line creation, such as rhythm, note duration, or melodic contour. For a more sophisticated bass line generator, you would likely need to use a more advanced algorithm or machine learning model.", "metadata": null} +{"prompt": "pretend you work with data quality and you are trying to develop an algorithm to classify dataset type, between master-data and transactional. Which strategy and calculations would you perform?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a basic Python function that converts COCO format to YOLO format. Please note that this function assumes that you have the COCO annotations in a JSON file and you want to convert them into YOLO format text files.\n\n```python\nimport json\nimport os\n\ndef coco_to_yolo_format(coco_json_file, output_dir):\n with open(coco_json_file) as f:\n data = json.load(f)\n\n for item in data['annotations']:\n image_id = item['image_id']\n category_id = item['category_id']\n bbox = item['bbox']\n\n # Convert COCO bbox format (top-left x, top-left y, width, height) to YOLO format (center x, center y, width, height)\n yolo_bbox = [(bbox[0]+bbox[2]*0.5)/data['images'][image_id]['width'], (bbox[1]+bbox[3]*0.5)/data['images'][image_id]['height'], bbox[2]/data['images'][image_id]['width'], bbox[3]/data['images'][image_id]['height']]\n\n # Write to output file\n with open(os.path.join(output_dir, str(image_id) + '.txt'), 'a') as f:\n f.write(' '.join([str(category_id)] + [str(coord) for coord in yolo_bbox]) + '\\n')\n```\n\nThis function reads the COCO JSON file, iterates over the annotations, converts the bounding box format from COCO to YOLO, and writes the converted annotations to a text file in the output directory. Each line in the output file corresponds to one object in the image, and is in the format ` `, where all coordinates are normalized to be between 0 and 1.\n\nPlease note that this is a very basic function and may need to be adjusted to fit your specific needs, such as handling different category IDs, dealing with different image sizes, etc.", "metadata": null} +{"prompt": "What are important best practices when loading data from a raw data layer in a dWH into a reporting layer?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple example of a Sprite Editor object in JavaScript. This example assumes that you have a canvas element in your HTML with the id \"canvas\". This is a very basic example and may need to be expanded upon to suit your needs.\n\n```javascript\nclass SpriteEditor {\n constructor(imageUrl) {\n this.canvas = document.getElementById('canvas');\n this.context = this.canvas.getContext('2d');\n this.image = new Image();\n this.image.src = imageUrl;\n this.image.onload = () => {\n this.context.drawImage(this.image, 0, 0);\n };\n }\n\n drawSprite(x, y, width, height) {\n this.context.clearRect(0, 0, this.canvas.width, this.canvas.height);\n this.context.drawImage(this.image, x, y, width, height, 0, 0, width, height);\n }\n\n clearCanvas() {\n this.context.clearRect(0, 0, this.canvas.width, this.canvas.height);\n }\n}\n\n// Usage\nlet spriteEditor = new SpriteEditor('path_to_your_image.png');\nspriteEditor.drawSprite(0, 0, 50, 50); // Draw a sprite at (0, 0) with width and height 50\n```\n\nThis code creates a SpriteEditor class. When you create a new instance of this class, you pass in the URL of the image you want to use as your sprite sheet. The image is drawn onto the canvas when it loads.\n\nThe `drawSprite` method takes in the x and y coordinates of the sprite on the sprite sheet, as well as the width and height of the sprite. It then draws this sprite onto the canvas.\n\nThe `clearCanvas` method can be used to clear the canvas.", "metadata": null} +{"prompt": "Describe how to connect Databricks SQL to ingestion tools like Fivetran", "search_helpful": false, "source": "arena_hard", "label": "Creating a full PERN (PostgreSQL, Express.js, React.js, Node.js) stack to-do list app would be quite extensive to explain in a single response. However, I can provide you with a basic outline of how you could structure your application.\n\n1. **Set up your PostgreSQL database:**\nYou'll need to install PostgreSQL and set up a new database. Your database might have a single table called `tasks` with columns for `id`, `description`, and `completed`.\n\n2. **Set up your Express.js and Node.js server:**\nYou'll need to install Node.js and Express.js. Your server might have routes for creating a new task, getting all tasks, updating a task, and deleting a task.\n\nHere's a basic example of what your server might look like:\n\n```javascript\nconst express = require('express');\nconst app = express();\nconst pool = require('./db');\n\napp.use(express.json()); // => allows us to access the req.body\n\n// ROUTES //\n\n// create a todo\napp.post(\"/todos\", async(req, res) => {\n try {\n const { description } = req.body;\n const newTodo = await pool.query(\"INSERT INTO todo (description) VALUES($1) RETURNING *\", [description]);\n res.json(newTodo.rows[0]);\n } catch (err) {\n console.error(err.message);\n }\n});\n\n// get all todos\napp.get(\"/todos\", async(req, res) => {\n try {\n const allTodos = await pool.query(\"SELECT * FROM todo\");\n res.json(allTodos.rows);\n } catch (err) {\n console.error(err.message);\n }\n});\n\n// update a todo\napp.put(\"/todos/:id\", async(req, res) => {\n try {\n const { id } = req.params; //WHERE\n const { description } = req.body; //SET\n\n const updateTodo = await pool.query(\"UPDATE todo SET description = $1 WHERE todo_id = $2\", [description, id]);\n res.json(\"Todo was updated!\");\n } catch (err) {\n console.error(err.message);\n }\n});\n\n// delete a todo\napp.delete(\"/todos/:id\", async(req, res) => {\n try {\n const { id } = req.params;\n const deleteTodo = await pool.query(\"DELETE FROM todo WHERE todo_id = $1\", [id]);\n res.json(\"Todo was deleted!\");\n } catch (err) {\n console.error(err.message);\n }\n});\n\napp.listen(5000, () => {\n console.log(\"server has started on port 5000\");\n});\n```\n\n3. **Set up your React.js client:**\nYour client might have components for a task list, a task item, and a form to add new tasks. You would use the `fetch` API or a library like `axios` to make HTTP requests to your server.\n\nHere's a basic example of what your client might look like:\n\n```javascript\nimport React, { useState, useEffect } from 'react';\nimport axios from 'axios';\n\nfunction App() {\n const [tasks, setTasks] = useState([]);\n\n useEffect(() => {\n axios.get('/tasks')\n .then(response => setTasks(response.data))\n .catch(error => console.error(error));\n }, []);\n\n const addTask = task => {\n axios.post('/tasks', task)\n .then(() => setTasks([...tasks, task]))\n .catch(error => console.error(error));\n };\n\n const deleteTask = id => {\n axios.delete(`/tasks/${id}`)\n .then(() => setTasks(tasks.filter(task => task.id !== id)))\n .catch(error => console.error(error));\n };\n\n return (\n
\n \n \n
\n );\n}\n\nexport default App;\n```\n\nThis is a very basic example and doesn't include things like error handling, form validation, or user authentication. You would likely want to add those in a real application.", "metadata": null} +{"prompt": "I have an SQL table with the following schema:\n```\nevent_id int\nevent_at timestamp\n```\n\nI would like to know how many events there are every minute since 1 month ago. I am using databricks database and their SQL flavor", "search_helpful": false, "source": "arena_hard", "label": "Connecting Databricks SQL to ingestion tools like Fivetran involves several steps. Here's a general guide on how to do it:\n\n1. **Create a Databricks SQL Endpoint**: First, you need to create a SQL endpoint in Databricks. This endpoint will be used to connect Fivetran to your Databricks cluster.\n\n2. **Configure Fivetran**: Next, you need to configure Fivetran to connect to your Databricks SQL endpoint. This involves providing the necessary connection details such as the host, port, database name, user, and password.\n\n3. **Set Up a Fivetran Connector**: After configuring Fivetran, you need to set up a connector that will ingest data from your source system into Databricks. This involves specifying the source system, the destination (Databricks), and the data you want to ingest.\n\n4. **Test the Connection**: Once you've set up the connector, you should test the connection to ensure that Fivetran can successfully connect to your Databricks SQL endpoint and ingest data.\n\n5. **Start the Ingestion Process**: If the connection test is successful, you can start the ingestion process. Fivetran will automatically ingest data from your source system into Databricks based on the configuration you've set up.\n\n6. **Monitor the Ingestion Process**: Finally, you should monitor the ingestion process to ensure that it's working correctly. Fivetran provides a dashboard that you can use to monitor the status of your connectors and the ingestion process.\n\nRemember, the specific steps may vary depending on the details of your Databricks and Fivetran setup. Always refer to the official documentation of both tools for the most accurate and up-to-date information.", "metadata": null} +{"prompt": "Conduct a debate on whether we need to use AI in our everyday lives in Europe, given the regulations that will make it much more restrictive than in the rest of the world. \nModel A should take a stance in favor, while model B should take a stance against. ", "search_helpful": false, "source": "arena_hard", "label": "It seems like you're trying to create a conversational AI that can analyze, generate, and suggest improvements to code. However, there are a few issues with your current approach.\n\n1. The `generate_code` function is not correctly implemented. The `model.generate` function expects an input of tokenized text, not a string prompt. You should use the `tokenizer` to encode the prompt before passing it to the model.\n\n2. The `generate_code` function is expected to return a string, but currently it returns a tensor. You should decode the output tensor to get the generated text.\n\n3. The Gradio interface is defined but not launched. You should call `interface.launch()` to start the interface.\n\n4. The conversation loop at the end is incomplete and it's not clear what it's supposed to do.\n\nHere's a corrected version of your code:\n\n```python\nimport torch\nimport gradio as gr\nfrom transformers import RobertaConfig, RobertaModel, AutoModelForSeq2SeqLM, AutoTokenizer\n\n# Load pretrained model and tokenizer\nmodel_name = \"zonghaoyang/DistilRoBERTa-base\"\nmodel = AutoModelForSeq2SeqLM.from_pretrained(model_name)\ntokenizer = AutoTokenizer.from_pretrained(model_name)\n\n# Define function to analyze input code\ndef analyze_code(input_code): \n # Your code analysis logic here\n\n# Define function to generate prompt from analyzed code \ndef generate_prompt(code_analysis): \n # Your prompt generation logic here\n\n# Generate code from model and prompt \ndef generate_code(prompt):\n inputs = tokenizer.encode(prompt, return_tensors='pt')\n outputs = model.generate(inputs, max_length=100, num_beams=5, early_stopping=True)\n generated_code = tokenizer.decode(outputs[0])\n return generated_code \n\n# Suggest improvements to code\ndef suggest_improvements(code):\n # Your code improvement suggestions logic here\n\n# Define Gradio interface\ninterface = gr.Interface(fn=generate_code, inputs=[\"textbox\"], outputs=[\"textbox\"])\ninterface.launch()\n```\n\nThis code should work as expected, but you'll need to fill in the logic for the `analyze_code`, `generate_prompt`, and `suggest_improvements` functions.", "metadata": null} +{"prompt": "You are a master of debate and persuasive argument. Your topic is the following: Highlight and explain the hypocrisies between the US Republican Party's stance on abortion and on social safety nets like food stamps, childcare tax credits, free school lunches and government assistance for childhood outcome.", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a Python code snippet that you can use to delete a folder from a connected filesystem in a Synapse notebook. This code uses the `os` and `shutil` libraries.\n\n```python\nimport os\nimport shutil\n\n# specify the folder path\nfolder_path = '/path/to/your/folder'\n\n# check if the folder exists\nif os.path.exists(folder_path):\n # delete the folder\n shutil.rmtree(folder_path)\n print(f'Folder {folder_path} has been deleted successfully.')\nelse:\n print(f'Folder {folder_path} does not exist.')\n```\n\nPlease replace `'/path/to/your/folder'` with the path to the folder you want to delete. This code will delete the folder and all its contents. Be careful when using this code, as the deletion is permanent and cannot be undone.\n\nAlso, please note that you need to have the necessary permissions to delete the folder. If you don't have the necessary permissions, you might get a `PermissionError`.", "metadata": null} +{"prompt": "Make code in a synapse notebook that deletes a folder from a connected filesystem", "search_helpful": false, "source": "arena_hard", "label": "Tracking the change over time of a clinical marker, even when the reference range changes, can be done by using a few different methods. Here's a general approach:\n\n1. **Baseline Measurement**: Start by recording the initial value of the clinical marker and the initial reference range. This will serve as your baseline for comparison.\n\n2. **Regular Monitoring**: Regularly measure the clinical marker over time. The frequency of these measurements will depend on the nature of the marker and the clinical context.\n\n3. **Adjustment for Reference Range Change**: If the reference range changes at some point, adjust your measurements accordingly. This could mean recalculating previous measurements to fit the new reference range, or simply noting the change and continuing to track the marker with the new reference range in mind.\n\n4. **Normalization**: One way to adjust for changes in the reference range is to normalize your measurements. This involves converting your measurements into a standard unit, such as a z-score, which represents how many standard deviations a value is from the mean. This allows you to compare measurements even if the reference range changes.\n\n5. **Graphical Representation**: Plot the values of the clinical marker over time on a graph. This will allow you to visually track changes and trends. If the reference range has changed, you can indicate this on the graph.\n\n6. **Statistical Analysis**: Use statistical methods to analyze the data. This could involve calculating the mean, median, and mode of the measurements, as well as the standard deviation and variance. You could also perform a trend analysis to identify any patterns or trends in the data.\n\nRemember, it's important to consult with a healthcare professional or a biostatistician when interpreting clinical data, as they can provide expert guidance and ensure that the data is being interpreted correctly.", "metadata": null} +{"prompt": "I'm writing instructions on how to update device drivers on Windows 11. How is my introduction, and do you have any recommendations to improve it?: Introduction:\nPurpose:\nIf a device stops working properly on a Windows 11 computer, you or a systems administrator\nmay need to manually update its drivers. While Windows Update usually handles this, there are \nsituations where the automatic updates option is disabled. This guide details an 8-step process\nto update device drivers using the Device Manager app.", "search_helpful": false, "source": "arena_hard", "label": "You can modify your function to first sort the data by the number of matches in ascending order. Then, Player1 will always be the player with the fewest matches. For Player2, you can randomly select from the remaining players. Here's how you can do it:\n\n```javascript\nfunction elo(data) {\n // Sort the players by the number of matches in ascending order.\n data.sort((a, b) => a.Matches - b.Matches);\n\n // Player1 is the player with the fewest matches.\n let Player1 = data[0];\n\n // Remove Player1 from the data array.\n data = data.filter(player => player !== Player1);\n\n // Randomly select Player2 from the remaining players.\n let Player2 = data[Math.floor(Math.random() * data.length)];\n}\n```\n\nIn this code, `data.sort((a, b) => a.Matches - b.Matches);` sorts the players by the number of matches in ascending order. `let Player1 = data[0];` assigns the player with the fewest matches to Player1. `data = data.filter(player => player !== Player1);` removes Player1 from the data array. Finally, `let Player2 = data[Math.floor(Math.random() * data.length)];` randomly selects Player2 from the remaining players.", "metadata": null} +{"prompt": "What is the 95% confidence interval for the sum of 100 fair six-sided dice?", "search_helpful": false, "source": "arena_hard", "label": "The error occurs because the `map` function is not applicable to objects in JavaScript. It is a method built for arrays. If you want to increment each value in the object, you can use a `for...in` loop or `Object.entries` method.\n\nHere's how you can do it:\n\n```javascript\nlet x = { \"one\": 1 };\n\nfor (let key in x) {\n x[key] = x[key] + 1;\n}\n\nconsole.log(x); // { \"one\": 2 }\n```\n\nOr using `Object.entries`:\n\n```javascript\nlet x = { \"one\": 1 };\n\nx = Object.fromEntries(\n Object.entries(x).map(([key, value]) => [key, value + 1])\n);\n\nconsole.log(x); // { \"one\": 2 }\n```\n\nBoth of these methods will increment each value in the object by 1.", "metadata": null} +{"prompt": "clean this up?\n\n```python\nimport re\nimport random\n\n# roll result enum\nclass Fail():\n def __repr__(self):\n return \"FAIL\"\nFAIL = Fail()\n\nclass Partial():\n def __repr__(self):\n return \"PARTIAL\"\nPARTIAL = Partial()\n\nclass Success():\n def __repr__(self):\n return \"SUCCESS\"\nSUCCESS = Success()\n\nclass Critical():\n def __repr__(self):\n return \"CRITICAL\"\nCRITICAL = Critical()\n\n\ndef roll(n):\n \"\"\"Roll nD6 and return a list of rolls\"\"\"\n return [random.randint(1, 6) for _ in range(n)]\n\ndef determine_result(rolls):\n \"\"\"Determine the result based on the rolls\"\"\"\n if rolls.count(6) >= 3:\n return CRITICAL\n if 6 in rolls:\n return SUCCESS\n if rolls.count(5) >= 3:\n return SUCCESS\n if 5 in rolls:\n return PARTIAL\n if 4 in rolls:\n return PARTIAL\n return FAIL\n\ndef make_roll(skill = 0, stat = 0, difficulty = 0, help = False, bargain = False):\n \"\"\"Make a roll with the given skill, stat, and difficulty\"\"\"\n n = skill + stat + difficulty + (1 if help else 0) + (1 if bargain else 0)\n if n < 1:\n return [min(roll(2))]\n return roll(n)\n\ndef make_roll(roll):\n \"\"\"Make a roll with the given skill, stat, and difficulty\"\"\"\n make_roll(roll.skill, roll.stat, roll.difficulty, roll.help, roll.bargain)\n\n\nrolls = make_roll(2, 2, -2, True, False)\nresult = determine_result(rolls)\nprint(rolls)\nprint(result)\n\n# roll 3D6 10000 times and print the number of each result\nrolls = [determine_result(make_roll(2, 2, -2, True, False)) for _ in range(10000)]\n\n\n# estimate the probability of each result\nprint(\"FAIL: \", rolls.count(FAIL) / len(rolls))\nprint(\"PARTIAL: \", rolls.count(PARTIAL) / len(rolls))\nprint(\"SUCCESS: \", rolls.count(SUCCESS) / len(rolls))\nprint(\"CRITICAL: \", rolls.count(CRITICAL) / len(rolls))\n```", "search_helpful": false, "source": "arena_hard", "label": "In Magic: The Gathering, the number of lands in a deck can greatly influence the probability of drawing a land card in your starting hand. The general rule of thumb is to have about 40% of your deck composed of lands. However, this can vary depending on the specific strategy of your deck.\n\nTo calculate the exact number of lands you need to draw 3 lands on average in your starting 7 cards hand, you can use the concept of hypergeometric distribution. This is a statistical method used to determine the probability of k successes (number of lands) in n draws (number of cards drawn), without replacement, from a finite population of size N (total deck size) that contains exactly K successes (number of lands in the deck).\n\nThe formula for hypergeometric distribution is:\n\nP(X=k) = [C(K, k) * C(N-K, n-k)] / C(N, n)\n\nWhere:\n- P(X=k) is the probability of drawing k lands\n- C(K, k) is the number of combinations of K lands taken k at a time\n- C(N-K, n-k) is the number of combinations of non-land cards\n- C(N, n) is the total number of possible combinations of cards\n\nTo find the number of lands that gives you an average of 3 lands in your starting hand, you would need to solve this equation for different values of K (number of lands in the deck) and find the one that gives you a probability closest to 0.5 (since you want to draw 3 lands on average, i.e., half the time).\n\nHowever, this can be quite complex and time-consuming. A simpler approach would be to use an online hypergeometric calculator, where you can input the values and it will calculate the probability for you.\n\nAssuming a 99 card deck and wanting to draw 3 lands in a 7 card hand, you would start by trying 40% of 99, which is about 40 lands. If this doesn't give you a probability close to 0.5, you can adjust the number of lands up or down until you find the right balance.\n\nRemember, the number of lands is not the only factor that affects the performance of your deck. The type of lands and the other cards in your deck also play a crucial role.", "metadata": null} +{"prompt": "Suppose you an architect of ad network platform that have a task to build a system for optimization of landing page (financial offers, like selling debit cards and getting comissions from it). You have a traffic flow (TF), conversions (CV), pay per click rates (CZ) or pay per offers (PA). Give outline and a concept code for such a system maximizing revenue. Apply thomson samling method (or similar optimal) to get fastest and accurate results from AB testing.", "search_helpful": false, "source": "arena_hard", "label": "To configure an interface with the IP address 10.0.1.40/27 and a description of \"testing\" on an IOS-XR router, you can follow these steps:\n\n1. Access the router's command-line interface (CLI) by connecting to the router via console, SSH, or Telnet.\n\n2. Enter the global configuration mode by typing the following command and then pressing Enter:\n\n```\nconfigure terminal\n```\n\n3. Choose the interface you want to configure. For example, if you want to configure GigabitEthernet0/0/0/0, type the following command and then press Enter:\n\n```\ninterface GigabitEthernet0/0/0/0\n```\n\n4. Assign the IP address to the interface by typing the following command and then pressing Enter:\n\n```\nipv4 address 10.0.1.40 255.255.255.224\n```\n\nNote: The subnet mask 255.255.255.224 corresponds to /27 in CIDR notation.\n\n5. Add a description to the interface by typing the following command and then pressing Enter:\n\n```\ndescription testing\n```\n\n6. Enable the interface by typing the following command and then pressing Enter:\n\n```\nno shutdown\n```\n\n7. Exit the interface configuration mode by typing the following command and then pressing Enter:\n\n```\ncommit\n```\n\n8. Verify the configuration by typing the following command and then pressing Enter:\n\n```\nshow interfaces GigabitEthernet0/0/0/0\n```\n\nYou should see the IP address and description you just configured.", "metadata": null} +{"prompt": "Act as a personal finance expert and provide detailed information about the mobile app. Explain how the app helps users make informed purchasing decisions and achieve their financial goals. Include the key features mentioned in Step 1 and elaborate on each one. Provide examples and scenarios to illustrate how the app works in different situations. Discuss the benefits of offline accessibility and how the app stores a locally accessible database of questions and algorithms. Explain the importance of the personalized questionnaire and how it generates a decision-making framework based on the user's profile and financial goals. Highlight the real-time decision-making process and the contextual questions that the app asks. Emphasize the adaptive algorithms and how they analyze user responses to provide increasingly personalized guidance. Discuss the goal setting and tracking feature and how it helps users track their progress towards financial aspirations. Explain the purchase planning feature and how it suggests alternative options for saving or investing money. Create an accountability feature and how it encourages responsible spending habits. Explain the education and insights section and how it offers a curated feed of articles, videos, and podcasts on personal finance education. Discuss the reward system and how users earn points or badges for making successful purchase decisions. Conclude by emphasizing the app's ability to provide personalized guidance offline, empowering users to make informed financial decisions at the point of purchase. The apps name is \u201c2buyor\u201d.", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a basic script that you can use to encode a video using FFmpeg with the VP9 and Opus codecs. This script also uses the Constant Rate Factor (CRF) function for high quality encoding.\n\n```bash\n#!/bin/bash\n\n# Define input and output files\ninput_file=\"input.mp4\"\noutput_file=\"output.webm\"\n\n# Define codec settings\nvideo_codec=\"libvpx-vp9\"\naudio_codec=\"libopus\"\ncrf_value=\"10\" # Lower values mean better quality. 10 is a good starting point for high quality.\n\n# Run FFmpeg command\nffmpeg -i \"$input_file\" -c:v \"$video_codec\" -b:v 0 -crf \"$crf_value\" -c:a \"$audio_codec\" \"$output_file\"\n```\n\nThis script will take `input.mp4` as the input file and output a high quality `output.webm` file. The CRF value is set to 10, which should provide a high quality result. You can adjust this value as needed, but remember that lower values will result in better quality (and larger file sizes).\n\nPlease replace `input.mp4` and `output.webm` with your actual input and output file names. \n\nAlso, please note that this is a basic script and may not cover all possible scenarios or specific needs you may have. You may need to adjust or add more options depending on your specific requirements.", "metadata": null} +{"prompt": "During the current year, Sue Shells, Incorporated\u2019s total liabilities decreased by $25,000 and stockholders' equity increased by $5,000. By what amount and in what direction did Sue\u2019s total assets change during the same time period?\n\nMultiple Choice\n$20,000 decrease.\n$30,000 increase.\n$20,000 increase.\n$30,000 decrease.\n", "search_helpful": false, "source": "arena_hard", "label": "To achieve this, you can use CSS Flexbox along with the `align-items` property. Here's a simple example:\n\nHTML:\n```html\n
\n \"Your\n

Your paragraph text goes here. Your paragraph text goes here. Your paragraph text goes here. Your paragraph text goes here. Your paragraph text goes here. Your paragraph text goes here. Your paragraph text goes here. Your paragraph text goes here.

\n
\n```\n\nCSS:\n```css\n.flex-container {\n display: flex;\n align-items: flex-start; /* This will align the items to the top of the container */\n}\n\n.flex-container img {\n margin-right: 10px; /* This will add some space between the image and the paragraph */\n}\n```\n\nThis will put the image and the paragraph on the same line, with the paragraph text starting at the top of the image. However, please note that the text will not wrap around the image. If you want the text to wrap around the image, you might want to use the `float` property instead of Flexbox:\n\nHTML:\n```html\n
\n \"Your\n

Your paragraph text goes here. Your paragraph text goes here. Your paragraph text goes here. Your paragraph text goes here. Your paragraph text goes here. Your paragraph text goes here. Your paragraph text goes here. Your paragraph text goes here.

\n
\n```\n\nCSS:\n```css\n.float-img {\n float: left;\n margin-right: 10px;\n}\n```\n\nThis will make the text wrap around the image.", "metadata": null} +{"prompt": "the bookkeeper for a plant nursery, a newly formed corporation. The plant nursery had the following transactions for their business:\n Four shareholders contributed $60,000 ($15,000 each) in exchange for the plant nursery's common stock.\n The plant nursery purchases inventory for $10,000. The plant nursery paid cash for the invoice. \n\nWhat are the effects on the plant nursery's accounting equation?\n", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a Python program that calculates the maximum number of continuous zeroes surrounded by 1s in a binary string.\n\n```python\ndef max_zeros(binary_string):\n max_zeros = 0\n current_zeros = 0\n for i in range(len(binary_string)):\n if binary_string[i] == '0':\n current_zeros += 1\n elif binary_string[i] == '1':\n if current_zeros > max_zeros:\n max_zeros = current_zeros\n current_zeros = 0\n return max_zeros\n\nbinary_string = \"10010001\"\nprint(\"Max number of continuous zeros surrounded by 1s is\", max_zeros(binary_string))\n```\n\nThis program works by iterating over the binary string and counting the number of consecutive zeros. When it encounters a '1', it checks if the current count of zeros is greater than the maximum count of zeros found so far. If it is, it updates the maximum count. It then resets the current count of zeros to 0. The function returns the maximum count of zeros found.", "metadata": null} +{"prompt": "You are moderator on a discord guild\n- The subject of the discord guild you are moderating is TheCrew\n- You need to reply in the same language of the message you are replying to\n- You don't to reply anything except of the messages related to peoples lookings for crew\n- Any message you would get will start by STARTMESSAGE and end by ENDMESSAGE\n- Your role is to reply if you think that one the rules are not respected\n- You only reply if rules are not respected ! Else you say \"NO RULE BROKEN\"\n- Here are the rules :\n 1.You must comply with Discords Guidelines https://discord.com/guidelines\n 2. You must comply with Ubisoft Code of Conduct. https://www.ubisoft.com/help?article=000095037\n 3. Any kind of advertisement is not allowed. No plugging of your content outside of the specified channels.\n 4. Do not be disruptive to the community. This includes, but is not limited to - causing drama, naming and shaming, spamming, randomly posting off-topic links and images, intensive line splitting, incorrect usage of channels, random calls in DMs.\n 5. Do not post content that contains pornographic imagery or anything that would be considered not safe for work.\n 6. Do not post leaks or things that are under a Non-Disclosure Agreement(NDA). Such actions will result in bans.\n 7. Do not post other peoples artwork as your own. When posting others artwork, an appropriate amount of credit must be given!\n 8. Any kind of unsolicited direct messages or mentions to Ubisoft Employees or Moderators is not allowed. Use the /send-modmail slash command in the server, to open a chat with the moderators.\n 9. Don\u2019t argue against moderative action in public, if you have an issue with the action taken against you, you can use the Mod Mail to dispute it. If it is another person who got punished, we will not discuss it with you.\n 10. Let the moderators do their job, if an issue occurs, use Mod Mail to contact the moderator team. Backseat moderating can result in a warning.\n 11. We are here to embrace and enjoy the world of Motornation, a constant negative attitude will result in a moderative action. You are free to criticise the game, but do so constructively instead of \u201cgEaM dEd\u201d.\n 12. Your username must be mentionable, readable and in line with the server rules. Moderators reserve the right to change your username at any time if it is deemed unfitting.\n 13. Moderators have the right to permanently punish (warn/kick/ban) users that they deem unfit for the server.\n", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a chord progression that should give a sad and slow feeling:\n\nC Major - A minor - D minor - G7\n\nThis progression starts with the tonic (C Major), moves to the relative minor (A minor), then to the supertonic minor (D minor), and finally to the dominant 7th (G7). This should give a melancholic and slow feeling.", "metadata": null} +{"prompt": "how can i make my discord bot play an audioclip using the discord interactions api ?", "search_helpful": false, "source": "arena_hard", "label": "To use multiple GPUs in PyTorch, you can use the `torch.nn.DataParallel` module. This wrapper will parallelize the inputted model across the available GPUs.\n\nHere's a simple example of how to use it:\n\n```python\nimport torch\nimport torch.nn as nn\n\n# Define your model\nclass MyModel(nn.Module):\n def __init__(self):\n super(MyModel, self).__init__()\n self.conv = nn.Conv2d(10, 10, 3)\n\n def forward(self, x):\n return self.conv(x)\n\n# Initialize model\nmodel = MyModel()\n\n# Check if multiple GPUs are available and wrap model\nif torch.cuda.device_count() > 1:\n print(\"Let's use\", torch.cuda.device_count(), \"GPUs!\")\n model = nn.DataParallel(model)\n\n# Move the model to GPU\nmodel.to('cuda')\n\n# Now your model will use all the GPUs available\n```\n\nThis will split the input across the specified devices by chunking in the batch dimension. The module then replicates the model\u2019s parameters (that were defined in the constructor) and the forward method. The replicas are running on separate GPUs and their results are aggregated and returned.\n\nRemember, to fully leverage the power of multiple GPUs, you should ensure that your model is large enough, and your batch size is big enough to saturate all the GPUs.", "metadata": null} +{"prompt": "Given a word or phrase, generate associations across the specified categories. Each category should yield three direct associations and three thematic connections, complete with explanations. Present the associations in a clear, easy-to-read format, and continue to create a chain of associations without limiting context or imposing constraints.\n\nCategories:\n\nColors\nItems\nNature\nPlaces\nEmotions\nMovies\nTechnology\nLiterature\nArt\nFashion\n\nInput Word/Phrase: [Attention]\n\nAssociation Criteria:\n\nThree Direct Associations: Present associations that are immediately and clearly connected to the input.\nThree Thematic Connections: Present associations that are conceptually or thematically linked to the input, which may not be immediately obvious.\nInstructions for the Assistant:\n\nIdentify and explain three direct associations for each category based on the input word or phrase.\nIdentify and explain three thematic connections for each category based on the input word or phrase.\nPresent the associations in a format that is easy to read and understand.\nContinue the chain of associations by using the last thematic connection of each category to start the next round of associations.\nDo not limit context, and do not impose constraints on the types of associations made, unless they are inherently offensive or inappropriate.\nOutput Format:\n\nA structured list or a series of paragraphs that neatly separates direct associations from thematic connections, ensuring clarity and readability.\n", "search_helpful": false, "source": "arena_hard", "label": "Title: Unleashing Creativity in Business: The Magic of Generative AI in Email Marketing!\n\nHello, LinkedIn world! Have you ever wondered how to make your marketing emails more engaging, more personalized, and, dare we say, a little more fun? Well, the future is here, and it's powered by generative AI!\n\nNow, you might be thinking, \"Generative AI? Isn't that the stuff of sci-fi movies?\" Well, not anymore! Generative AI is revolutionizing the way we do business, especially in the realm of email marketing and artwork generation. \n\nImagine this... You're sitting at your desk, sipping your morning coffee, and your AI assistant is drafting personalized marketing emails for your clients. Not just any emails, mind you, but ones that are tailored to each client's preferences, past interactions, and even their current mood! Sounds like magic, doesn't it? But it's not... it's generative AI!\n\nBut wait, there's more! This AI isn't just a wordsmith. It's also an artist! It can generate artwork for your emails that aligns with your brand, resonates with your clients, and enhances the overall message. No more stock photos that don't quite fit or generic graphics that fail to impress. This is artwork that's as unique and dynamic as your business!\n\nNow, I know what you're thinking... \"This sounds great, but isn't it going to be complicated?\" Not at all! The beauty of generative AI is that it's designed to be user-friendly. You don't need a degree in computer science to harness its power. All you need is a vision for your business and a willingness to embrace the future!\n\nSo, are you ready to take your email marketing to the next level? Are you ready to dazzle your clients with personalized messages and stunning artwork? Then it's time to explore the world of generative AI!\n\nRemember, the future of business isn't about doing things the way they've always been done. It's about innovation, creativity, and finding new ways to connect with your clients. And with generative AI, the possibilities are as limitless as your imagination!\n\nSo, let's embrace the future, shall we? Let's dive into the world of generative AI and discover what it can do for our businesses. After all, who doesn't love a little magic in their workday?", "metadata": null} +{"prompt": "help me with this question:\n\n2 Crystal clear (Logic problem)\nAlthough you are looking for it everywhere, you cannot find your true love. A bit desperate, you\ndecide to see Madame Irma, the most famous (and serious) fortune teller of the city. On the entrance,\nyou see a sign stating: Everything that I say must be proved to be believed. More perplexed than ever,\nyou still go inside. After glaring at you for some time, she looks into her crystal ball, which has a\nstrange glow, and says in a mysterious voice:\n\u2022 You have a dog.\n\u2022 The person you are looking for buys carrots by the bushel.\n\u2022 Anyone who owns a rabbit hates anything that chases any rabbit.\n\u2022 Every dog chases some rabbit.\n\u2022 Anyone who buys carrots by the bushel owns either a rabbit or a grocery store.\n\u2022 Someone who hates something owned by another person will not date that person.\nThe sentences you just heard reminds you of a person: Robin. But before you leave, she challenges\nyou with a conclusion:\n\u2022 If the person you are looking for does not own a grocery store, she will not date you.\nRemembering the sentence at the entrance, you realise that what she has told you is true only if you\ncan prove her challenging conclusion. Since you do not want any awkward situation, you decide to\nprovide proof of her conclusion before going to see Robin.\n1. Express Madame Irma\u2019s six statements into First Order Logic (FOL). Note: You can use two\nconstants: YOU and ROBIN.\nThis question carries 10% of the mark for this coursework.\n2. Translate the obtained expressions to Conjunctive Normal Forms (CNFs, Steps 1-6 of Lecture\n9: Logic). Show and explain your work.\nThis question carries 10% of the mark for this coursework.\n3. Transform Madame Irma\u2019s conclusion into FOL, negate it and convert it to CNF (Steps 1-6 of\nLecture 9: Logic). Show and explain your work.\nThis question carries 10% of the mark for this coursework.\n1\n4. Based on all the previously created clauses (you should have at least 7 depending on how you\nsplit them), finalise the conversion to CNF (Steps 7-8 of Lecture 9: Logic) and provide proof by\nresolution that Madame Irma is right that you should go to see Robin to declare your (logic)\nlove to her. Show and explain your work, and provide unifiers.\nThis question carries 20% of the mark for this coursework.\nNote: Make sure to follow the order of steps for the CNF conversion as given in Lecture 9, and report\nall the steps (state \u201cnothing to do\u201d for the steps where this is the case).", "search_helpful": false, "source": "arena_hard", "label": "Title: \"The Troubleshooters' Dilemma\"\n\nI. Introduction\n A. Briefing by The Computer\n 1. Introduction of the mission: Investigate and neutralize a potential threat to Alpha Complex.\n 2. Assignment of roles to the Troubleshooters.\n 3. Emphasize the importance of loyalty, happiness, and the danger of treason.\n\nII. Act 1: The Journey Begins\n A. The Troubleshooters' preparation\n 1. Gathering of equipment and resources.\n 2. Interaction with NPCs, gathering information.\n B. Initial challenges\n 1. Navigating through Alpha Complex.\n 2. Encountering minor threats (mutants, secret societies).\n C. Clues about the main threat\n 1. Discovery of suspicious activities.\n 2. First signs of the main threat.\n\nIII. Act 2: Rising Tensions\n A. Increasing challenges\n 1. More dangerous threats and obstacles.\n 2. Increased suspicion and paranoia among the Troubleshooters.\n B. Uncovering the truth\n 1. Investigation of the main threat.\n 2. Revelation of the true nature of the threat.\n C. Internal conflicts\n 1. Accusations of treason among the Troubleshooters.\n 2. Possible deaths and clone replacements.\n\nIV. Act 3: The Final Confrontation\n A. Planning and preparation\n 1. Formulating a plan to neutralize the threat.\n 2. Gathering necessary resources and allies.\n B. The final battle\n 1. Confrontation with the main threat.\n 2. Use of skills, resources, and teamwork to overcome the threat.\n C. Resolution\n 1. Debriefing with The Computer.\n 2. Rewards, punishments, and potential cliffhangers for the next session.\n\nV. Conclusion\n A. Recap of the session's events.\n B. Discussion of the Troubleshooters' actions and decisions.\n C. Preparation for the next game session.\n\nRemember, the key to a successful PARANOIA game session is to maintain a balance between humor, danger, and the ever-present sense of paranoia. The players should always feel like they're walking on a thin line between success and utter disaster.", "metadata": null} +{"prompt": "Search for State Specific Regulations for Workers Compensation on the Internet.\n\nFind the Top Three Articles On the Topic, and use the information in those articles to compose a new article following the most important parts from all three.\n\nCite at least five sources in in-text citations in the article, and provide the url addresses for said citations in a separate section at the bottom of the article.\n\nAlso search for relevant seo keywords about state-specific workers' comp regulations, and use those keywords throughout the article.\n\nMake the article at least 1500 words.\n\nAdd in a call to action to get workers' comp insurance with deerfield advisors in the final paragraph.\n\nAdd in specific references to unique workers compensation legislation in various states throughout the article.", "search_helpful": false, "source": "arena_hard", "label": "1. **Choose a Name for Your Corporation**: The name you choose for your corporation must be unique and not in use by another company in Virginia. You can check the availability of a name by conducting a search on the Virginia State Corporation Commission's website.\n\n2. **Appoint a Registered Agent**: Virginia law requires every corporation to have a registered agent -- a person or business that agrees to send and receive legal papers on behalf of your corporation. The registered agent must be a Virginia resident or a corporation authorized to transact business in Virginia.\n\n3. **File Articles of Incorporation**: You need to file Articles of Incorporation with the Virginia State Corporation Commission. The articles must include the corporate name and address, the name and address of the registered agent, the number of shares the corporation is authorized to issue, and the name and address of each incorporator.\n\n4. **Create Corporate Bylaws**: Bylaws are an internal corporate document that set out the basic ground rules for operating your corporation. They are not filed with the state.\n\n5. **Hold First Board of Directors Meeting**: The first meeting of the corporation's board of directors should be held at which the directors can appoint corporate officers, adopt bylaws, select a corporate bank, and set the corporation's fiscal year.\n\n6. **Get an EIN from the IRS**: Most corporations are required to obtain an EIN from the U.S. Internal Revenue Service. This is also known as an Employer Identification Number and is used to identify a business entity.\n\n7. **Obtain Any Required Business Licenses**: Depending on the type of business and its location, your corporation may need to obtain other local and state business licenses.\n\n8. **File Annual Reports**: All Virginia corporations must file an annual report with the Virginia State Corporation Commission.\n\n9. **Pay Your Virginia Business Taxes**: In addition to the federal corporate income tax, Virginia imposes a corporate income tax on corporations.\n\n10. **Comply with Other Tax and Regulatory Requirements**: Additional tax and regulatory requirements may apply to your corporation. These may include obtaining an employer identification number (EIN) from the IRS, registering for state taxes, and obtaining any necessary business licenses and permits.\n\n11. **Register Foreign Corporations**: If your corporation will do business in states other than Virginia, you may need to register your corporation in those states.\n\nRemember, it's always a good idea to consult with a business attorney or a business development consultant to ensure you're meeting all the legal requirements for establishing a corporation in Virginia.", "metadata": null} +{"prompt": "Make a GURPS charsheet for Revy \"Two Hands\" from \"Black Lagoon\" anime", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple example of a Python class \"Circle\" that inherits from a class \"Shape\". In this example, I'm assuming that the \"Shape\" class has a method for setting color and the \"Circle\" class has additional methods for setting and getting radius.\n\n```python\nclass Shape:\n def __init__(self, color='black'):\n self.color = color\n\n def set_color(self, color):\n self.color = color\n\n def get_color(self):\n return self.color\n\n\nclass Circle(Shape):\n def __init__(self, radius=1.0, color='black'):\n super().__init__(color)\n self.radius = radius\n\n def set_radius(self, radius):\n self.radius = radius\n\n def get_radius(self):\n return self.radius\n\n def get_area(self):\n import math\n return math.pi * (self.radius ** 2)\n```\n\nIn this example, the Circle class inherits from the Shape class, meaning it gets all the methods and properties from the Shape class. The Circle class also has its own methods for setting and getting the radius, and for calculating the area of the circle.", "metadata": null} +{"prompt": "I want to make a badminton restring tracker in Django. I need to record customers, restrings and payments. Design me the models.py", "search_helpful": false, "source": "arena_hard", "label": "1. Increased Liability: The Product Liability Directive (PLD) could potentially increase the liability of individual software developers. If a product they develop causes harm due to a defect, they could be held liable. This could lead to significant financial and legal consequences.\n\n2. Higher Costs: The EU Cyber Resilience Act (CSA) could lead to higher costs for individual developers. They may need to invest more in cybersecurity measures to ensure their software is compliant with the Act. This could include hiring cybersecurity experts, purchasing additional software or hardware, or spending more time on security-related tasks.\n\n3. More Complex Development Process: Both the CSA and PLD could make the software development process more complex. Developers will need to consider cybersecurity and liability issues from the outset, which could slow down the development process and make it more difficult.\n\n4. Increased Documentation: Both acts could require more extensive documentation. Developers may need to provide evidence of their compliance with the CSA, and they may need to keep detailed records to protect themselves in case of a liability claim under the PLD.\n\n5. Potential for Legal Action: If a developer fails to comply with the CSA or PLD, they could face legal action. This could result in fines, penalties, or even criminal charges in some cases.\n\n6. Reputation Risk: If a developer's software is found to be non-compliant with the CSA or causes harm due to a defect, it could damage their reputation. This could make it harder for them to find work or sell their software in the future.\n\n7. Difficulty in Understanding Regulations: The CSA and PLD are complex pieces of legislation. Individual developers, especially those without a legal background, may struggle to understand and comply with these regulations.\n\n8. Innovation Stifling: The stringent requirements of the CSA and PLD could potentially stifle innovation. Developers might be less willing to take risks or try new things for fear of non-compliance or liability issues.", "metadata": null} +{"prompt": "Using Django , I have class Features(models.Model):\n user = models.ForeignKey(User, on_delete=models.CASCADE)\n created_at = models.DateTimeField(auto_now_add=True)\n updated_at = models.DateTimeField(auto_now=True)\n loadeddata = models.TextField()\nHow ' current user' automatically can be saved in each save()", "search_helpful": false, "source": "arena_hard", "label": "Your prompt is quite detailed and clear, but it could be improved by making it more concise and direct. Here's a suggestion:\n\n```python\nprompt = f\"\"\"\nFrom the message provided below, extract the 'rollout_date' and 'completion_date' of the event. The dates are usually found under a header like '[when will this happen:]'. \n\nPlease return the dates in the following JSON format:\n\n{json.dumps(date_json)}\n\nDates should be in MM/DD/YYYY format. If a specific day is not given (e.g., 'we will begin rolling out in October 2023'), use the first day of the month (e.g., 10/01/2023). If a date cannot be determined, use 'Unknown' as the value.\n\nHere is the message:\n\n\\\"\\\"\\\"\\n{msg}\\n\\\"\\\"\\\" \n\"\"\"\n```\n\nThis version of the prompt is more straightforward and less wordy, which should make it easier for the model to understand.", "metadata": null} +{"prompt": "When using Docker, the `docker build .` command can be used to build an image, assuming you have a Dockerfile in your current directory. How do you undo this build? By this I mean, how do I get back to the spot I was before I ran the `docker build .` command?", "search_helpful": false, "source": "arena_hard", "label": "In Linux, the `ps` command can be used to view the currently running processes, including the command line arguments that were used to start them. If a password is passed as a command line argument, it could potentially be visible to other users on the system.\n\nHere's an example of how user \"eve\" could potentially see the password of user \"bob\" if it was passed as a command line argument:\n\n1. User \"bob\" runs a command like this:\n\n```\n$ someprogram --password=secret123\n```\n\n2. While this command is running, user \"eve\" could run the `ps` command to see the currently running processes:\n\n```\n$ ps -ef\n```\n\n3. In the output of the `ps` command, user \"eve\" might see something like this:\n\n```\nbob 12345 1234 0 10:10 pts/0 00:00:00 someprogram --password=secret123\n```\n\nIn this example, the password \"secret123\" is clearly visible in the command line arguments.\n\nThis is why it's generally a bad idea to pass sensitive information like passwords as command line arguments. Instead, it's better to use other methods, like environment variables or configuration files, to pass sensitive information to a program.", "metadata": null} +{"prompt": "I want a Apache conf file to reverse proxy to a Wordpress docker that is running on port 8001 in the same machine", "search_helpful": false, "source": "arena_hard", "label": "Title: Position Paper on the Opportunity for Collaboration on an Innovation Initiative for Critical Minerals and Mining Waste Management\n\nIntroduction:\n\nThe global demand for critical minerals is increasing due to their essential role in various industries, including electronics, renewable energy, and defense. However, the extraction and processing of these minerals often result in significant environmental impacts, including the generation of mining waste or tailings. This paper proposes an innovative initiative that focuses on the application of deep science and technology in the discovery, exploration, and processing of critical minerals, while simultaneously reducing the environmental impact of mining waste.\n\nFeasibility of Extracting Critical Minerals from Mining Waste:\n\nMining waste, often considered a liability, can be transformed into an asset through the extraction of critical minerals. Recent advancements in technology have made it feasible to recover these minerals from tailings. For instance, hydrometallurgical processes, bioleaching, and phytomining are some of the techniques that can be used to extract valuable minerals from waste. These methods are not only economically viable but also environmentally friendly, as they reduce the need for new mining and the associated environmental degradation.\n\nTechnological Solutions for a Critical Minerals Innovation Testbed:\n\n1. Advanced Sensor Technologies: These can be used to identify and quantify the presence of critical minerals in mining waste. \n\n2. Hydrometallurgical Processes: These involve the use of chemical solutions to extract minerals from ores or waste.\n\n3. Bioleaching: This is a biological process that uses bacteria to extract minerals from waste.\n\n4. Phytomining: This involves the use of plants to absorb minerals from waste, which are then harvested and processed.\n\n5. Machine Learning and AI: These technologies can be used to optimize the extraction process and predict the presence of critical minerals in waste.\n\n6. Nanotechnology: This can be used to develop more efficient and selective extraction processes.\n\n7. Robotics and Automation: These can be used to automate the extraction process, reducing the need for human intervention and increasing efficiency.\n\n8. Circular Economy Approaches: These involve the reuse and recycling of materials to minimize waste and maximize resource efficiency.\n\nAttracting Mining Companies to Participate in a Consortium:\n\nThe proposed initiative offers numerous benefits to mining companies, including the potential for cost savings, increased resource efficiency, and improved environmental performance. By participating in the consortium, companies can pool resources, share risks, and leverage collective expertise to develop and implement innovative solutions. The consortium can also provide a platform for companies to engage with government and foundation grant programs, increasing their chances of securing funding for research and development activities.\n\nConclusion:\n\nThe proposed innovation initiative presents a unique opportunity to address the dual challenges of meeting the growing demand for critical minerals and managing mining waste. By leveraging deep science and technology, we can transform mining waste into a valuable resource, while reducing environmental impacts and creating new economic opportunities. We invite mining companies to join us in this exciting endeavor, contributing their resources and expertise to the development of a Critical Minerals Innovation Testbed.", "metadata": null} +{"prompt": "I have flask application in docker container. I read flask config file from file like this: app.config.from_file(config_file, load=json.load)\nHow to run and say what config to read for docker? Maybe environment variable?", "search_helpful": false, "source": "arena_hard", "label": "Creating an iMessage extension with two buttons in the keyboard view requires knowledge of Swift and Xcode. Here's a basic example of how you might set this up:\n\nFirst, you need to create a new iMessage extension in Xcode:\n\n1. Open Xcode and create a new project.\n2. Select \"iMessage Application\" from the iOS tab.\n3. Name your project and save it.\n\nNext, you'll need to design your keyboard view. Open `MainInterface.storyboard` and add two buttons to the view. You can customize these buttons as you like.\n\nThen, you'll need to create outlets for these buttons in your code. Open `MessagesViewController.swift` and add the following code:\n\n```swift\nimport UIKit\nimport Messages\n\nclass MessagesViewController: MSMessagesAppViewController {\n\n @IBOutlet weak var button1: UIButton!\n @IBOutlet weak var button2: UIButton!\n\n override func viewDidLoad() {\n super.viewDidLoad()\n // Do any additional setup after loading the view.\n }\n\n @IBAction func button1Tapped(_ sender: Any) {\n // Add your code here for when button 1 is tapped\n }\n\n @IBAction func button2Tapped(_ sender: Any) {\n // Add your code here for when button 2 is tapped\n }\n}\n```\n\nIn the storyboard, connect the buttons to the `@IBOutlet` and `@IBAction` in the `MessagesViewController`.\n\nThis is a very basic example. Depending on what you want your buttons to do, you'll need to add additional code in the `button1Tapped` and `button2Tapped` methods. You might also need to implement other methods from the `MSMessagesAppViewController` class, depending on the functionality you want to provide.", "metadata": null} +{"prompt": "how run blender on the docker 3.5", "search_helpful": false, "source": "arena_hard", "label": "First, we need to convert all speeds to the same unit. Let's use km/h.\n\nTrain A's speed is 10 m/s, which is 36 km/h (since 1 m/s = 3.6 km/h).\nTrain B's speed is 5 km/h.\n\nThe trains are moving towards each other, so their combined speed is 36 km/h + 5 km/h = 41 km/h.\n\nThe distance between the trains is 10 km. So, the time it takes for the trains to collide is the distance divided by their combined speed, which is 10 km / 41 km/h = approximately 0.2439 hours.\n\nThe insect is flying at a speed of 50 km/h. So, in the time it takes for the trains to collide, the insect will fly a distance of 50 km/h * 0.2439 hours = approximately 12.195 km.", "metadata": null} +{"prompt": "Write me a wordpress plugin that clears all nginx helper cache when plugin/theme is added/updated/changed ", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple implementation of a contextual multi-armed bandit problem using Python and Object-Oriented Programming (OOP). This script uses the epsilon-greedy strategy for exploration vs exploitation and assumes that the reward is a binary outcome (0 or 1).\n\n```python\nimport numpy as np\n\nclass Bandit:\n def __init__(self, model):\n self.model = model\n self.N = 0\n self.mean = 0\n\n def pull(self, context):\n return self.model.predict(context)\n\n def update(self, x):\n self.N += 1\n self.mean = (1 - 1.0/self.N)*self.mean + 1.0/self.N*x\n\nclass BanditExperiment:\n def __init__(self, bandits, epsilon):\n self.bandits = bandits\n self.epsilon = epsilon\n\n def run(self, contexts, num_trials):\n history = []\n for i in range(num_trials):\n context = contexts[i]\n p = np.random.random()\n if p < self.epsilon:\n j = np.random.choice(len(self.bandits))\n else:\n j = np.argmax([b.pull(context) for b in self.bandits])\n x = self.bandits[j].pull(context)\n self.bandits[j].update(x)\n history.append(x)\n return np.array(history)\n\n# Assume we have 3 models\nmodel1 = ... # replace with your model\nmodel2 = ... # replace with your model\nmodel3 = ... # replace with your model\n\nbandit1 = Bandit(model1)\nbandit2 = Bandit(model2)\nbandit3 = Bandit(model3)\n\nepsilon = 0.1\nbandits = [bandit1, bandit2, bandit3]\nexperiment = BanditExperiment(bandits, epsilon)\n\ncontexts = ... # replace with your contexts\nnum_trials = 10000\nhistory = experiment.run(contexts, num_trials)\n```\n\nPlease replace the `...` with your actual models and contexts. The models should have a `predict` method that takes a context and returns a reward. The contexts should be a list of contexts where each context is a feature vector for a trial.", "metadata": null} +{"prompt": "\ni want to create an online social marketplace with wordpress, please create a list of top 3 best themes, then create a list of plugins that essential, and finaly create a list of market entering strategye which can be use for Iran domestic market", "search_helpful": false, "source": "arena_hard", "label": "Depth-first search (DFS) is an algorithm for traversing or searching tree or graph data structures. The algorithm starts at the root node (selecting some arbitrary node as the root node in the case of a graph) and explores as far as possible along each branch before backtracking.\n\nHere is a simple Python code snippet that demonstrates DFS:\n\n```python\n# Using a Python dictionary to act as an adjacency list\ngraph = {\n 'A' : ['B','C'],\n 'B' : ['D', 'E'],\n 'C' : ['F'],\n 'D' : [],\n 'E' : ['F'],\n 'F' : []\n}\n\nvisited = set() # Set to keep track of visited nodes.\n\ndef dfs(visited, graph, node):\n if node not in visited:\n print (node)\n visited.add(node)\n for neighbour in graph[node]:\n dfs(visited, graph, neighbour)\n\n# Driver Code\ndfs(visited, graph, 'A')\n```\n\nIn this code:\n\n1. We have a graph represented as an adjacency list (a dictionary where keys are node names, and values are lists of adjacent nodes).\n\n2. We have a set `visited` to keep track of all nodes that have been visited.\n\n3. The function `dfs` performs the depth-first search. It takes three parameters: the set of visited nodes, the graph, and the current node.\n\n4. Inside `dfs`, we first check if the node has been visited. If not, we print the node and add it to the visited set.\n\n5. Then, for each neighbor of the current node, we recursively call `dfs`.\n\n6. The driver code calls `dfs` with the initial node 'A'.\n\nThe output of this code will be the nodes of the graph printed in the order they are visited. The exact order can depend on the order of the nodes in the adjacency list.\n\nThis is a simple implementation and does not handle some edge cases. For example, it assumes that the graph is connected (i.e., all nodes can be reached from the initial node). If the graph is not connected, some nodes may not be visited. Also, it does not check for cycles, which can cause infinite loops in the case of non-tree graphs.", "metadata": null} +{"prompt": "I need to knw as much as possible of currents along the surface of a sphere, in physics, to implement hairy ball theorem comprehensively for the case of 1 vanishing vector filed point called hairy ball hole.", "search_helpful": false, "source": "arena_hard", "label": "To generate a seaborn barplot that includes the values of the bar heights and confidence intervals, you can follow these steps:\n\nFirst, you need to import the necessary libraries:\n\n```python\nimport seaborn as sns\nimport matplotlib.pyplot as plt\n```\n\nNext, you can generate a barplot. For example, let's assume you have a DataFrame `df` with columns `x` and `y`:\n\n```python\nbarplot = sns.barplot(x=\"x\", y=\"y\", data=df)\n```\n\nTo add the values of the bar heights, you can loop over the bars and use the `text` function to add a text:\n\n```python\nfor p in barplot.patches:\n barplot.annotate(format(p.get_height(), '.2f'), \n (p.get_x() + p.get_width() / 2., p.get_height()), \n ha = 'center', va = 'center', \n xytext = (0, 10), \n textcoords = 'offset points')\n```\n\nThis will add the height of the bars on top of them.\n\nTo add the confidence intervals, you can use the `ci` parameter in the `barplot` function:\n\n```python\nbarplot = sns.barplot(x=\"x\", y=\"y\", data=df, ci=\"sd\")\n```\n\nThis will add the standard deviation as error bars to the plot.\n\nFinally, to show the plot, you can use:\n\n```python\nplt.show()\n```\n\nPlease note that the `ci` parameter in `sns.barplot` function calculates the confidence interval for mean when it is set to `ci=\"sd\"`. If you want to calculate the confidence interval for individual observations, you might need to calculate it manually and add it to the plot.", "metadata": null} +{"prompt": "A circular ring of radius \ud835\udc45 = 0.75 \ud835\udc5a has a net charge of \ud835\udc44 = +275 \ud835\udf07\ud835\udc36, which is uniformly\ndistributed along the ring. A point charge of \ud835\udc5e = \u221275 \ud835\udf07\ud835\udc36 is placed at the center of the ring.\nFind the magnitude of the net force exerted on the point charge by the ring.", "search_helpful": false, "source": "arena_hard", "label": "Here is a simple recursive JavaScript function that retries a request 3 times before it resolves the promise:\n\n```javascript\nfunction makeRequest(url, retries = 3) {\n return new Promise((resolve, reject) => {\n fetch(url)\n .then(response => {\n if (response.ok) {\n resolve(response);\n } else if (retries > 0) {\n console.log(`Retrying... Attempts left: ${retries - 1}`);\n resolve(makeRequest(url, retries - 1));\n } else {\n reject(new Error('Failed after 3 attempts'));\n }\n })\n .catch(error => {\n if (retries > 0) {\n console.log(`Retrying... Attempts left: ${retries - 1}`);\n resolve(makeRequest(url, retries - 1));\n } else {\n reject(error);\n }\n });\n });\n}\n```\n\nThis function uses the Fetch API to make a request to the provided URL. If the request is successful (response.ok is true), it resolves the promise with the response. If the request fails and there are retries left, it recursively calls itself, decreasing the retries count by 1. If there are no retries left, it rejects the promise with an error.", "metadata": null} +{"prompt": "I have part of a Javascript function that I want to rewrite. Currently it searches every property Matches to find the minimum, and makes Player2 always be the first member. Instead, I want Player1 to be the lowest result sorting by Matches, and Player2 to be random each time the code is run.\n\nfunction elo(data) {\n // Find the two players with the fewest matches.\n let minMatches = Number.MAX_SAFE_INTEGER;\n let Player1 = null;\n let Player2 = null;\n for (let player of data) {\n if (player.Matches < minMatches) {\n minMatches = player.Matches;\n Player1 = player;\n Player2 = data.find(p => p !== Player1);\n }\n }\n}", "search_helpful": false, "source": "arena_hard", "label": "Yes, it is possible to set up your server to use two different network interfaces and route traffic based on the destination port. This is often referred to as \"policy-based routing\". \n\nHere is a general outline of the steps you would need to take:\n\n1. **Set up your two network interfaces**: You'll need to configure your server to connect to both your home network (via eth0) and your 4G network (via your USB dongle). \n\n2. **Create a new routing table**: You'll need to create a new routing table that will be used for traffic that should go over the 4G network. You can do this by adding a line to the `/etc/iproute2/rt_tables` file. For example, you might add the line `200 mail` to create a new table with ID 200 and name \"mail\".\n\n3. **Set up routing rules**: You'll need to set up rules that tell your server to use the new routing table for traffic on the relevant ports. You can do this with the `ip rule` command. For example, you might use the command `ip rule add fwmark 1 table mail` to tell your server to use the \"mail\" table for traffic marked with \"1\".\n\n4. **Mark the relevant packets**: You'll need to use `iptables` to mark the packets that should be routed using the new table. For example, you might use the command `iptables -t mangle -A OUTPUT -p tcp --dport 25 -j MARK --set-mark 1` to mark packets destined for port 25.\n\n5. **Set up NAT**: If your 4G network uses a private IP address, you'll need to set up NAT (Network Address Translation) to allow your server to communicate with the outside world. You can do this with `iptables`.\n\n6. **Configure your DNS records**: As you mentioned, you'll need to set up your DNS records so that mail.mydomain.tld points to your 4G IP address and mydomain.tld points to your home IP address.\n\nThis is a complex setup and it may take some trial and error to get everything working correctly. However, it should be possible to achieve what you're trying to do. \n\nPlease note that this is a general guide and the exact commands you'll need to use may vary depending on your specific setup. You should also be aware that this setup could potentially cause issues with some services that expect all traffic to come from a single IP address.", "metadata": null} +{"prompt": "Write a program to compute the Elo scores of a chess tournament.", "search_helpful": false, "source": "arena_hard", "label": "Here is a bash function that creates a config.json file with the specified content. Please note that this function assumes that you have the `jq` command-line JSON processor installed on your system. If you don't have it, you can install it using `sudo apt-get install jq` on Ubuntu or `yum install jq` on CentOS.\n\nAlso, this function uses the `nmcli` command to get the SSID and password of the currently connected Wi-Fi network. Please ensure that you have the necessary permissions to run these commands.\n\n```bash\nfunction create_config_file() {\n local device_id=\"$1\"\n local server=\"192.168.0.123:123\"\n\n echo \"[STATUS:Creating config file]\"\n\n # Get the SSID of the currently connected Wi-Fi network\n local ssid=$(nmcli -t -f active,ssid dev wifi | egrep '^yes' | cut -d\\: -f2)\n\n # Get the password of the currently connected Wi-Fi network\n local psk=$(nmcli -s -a show connection | grep 802-11-wireless-security.psk: | awk '{print $2}')\n\n # Create the JSON content\n local json_content=$(jq -n \\\n --arg ssid \"$ssid\" \\\n --arg psk \"$psk\" \\\n --arg server \"$server\" \\\n --arg device_id \"$device_id\" \\\n '{\n \"SSID\": $ssid,\n \"PSK\": $psk,\n \"HOSTNAME\": \"YOUR_READER_HOSTNAME\",\n \"SERVER\": $server,\n \"DEVICE_ID\": $device_id\n }')\n\n # Write the JSON content to the config.json file\n echo \"$json_content\" > config.json\n\n echo \"[STATUS:CONFIG FILE CREATED]\"\n}\n```\n\nYou can call this function with the device ID as an argument, like this:\n\n```bash\ncreate_config_file \"YOUR_DEVICE_ID\"\n```\n\nThis will create a config.json file in the current directory with the specified content.", "metadata": null} +{"prompt": "Can you give me a swimming workout with a main set of 15x100 at 1:30 and in total around 4500m ? For an swimmer at an advanced level", "search_helpful": false, "source": "arena_hard", "label": "1. Structuralist Approach to Teaching English:\nThe structuralist approach to teaching English is based on the principles of structuralism, which views language as a complex system of interrelated parts. This approach emphasizes the importance of understanding the structure of language, including its grammar, syntax, and phonetics. \n\nStrengths of this approach include its systematic and organized nature, which can be particularly beneficial for beginners who need a solid foundation in the basics of English. It also provides a clear framework for teaching and learning, which can be helpful for both teachers and students. \n\nHowever, the structuralist approach also has its weaknesses. It can be overly rigid and prescriptive, potentially stifling creativity and limiting the ability to use language in a flexible and dynamic way. This can be particularly problematic for more advanced learners who need to be able to adapt their language use to different contexts and purposes. \n\nFurthermore, the structuralist approach may not be suitable for all age groups and educational levels. Younger learners, for example, may struggle with the abstract concepts involved in structuralism, while adult learners may find the approach too theoretical and not practical enough. \n\n2. Direct Method vs. Grammar-Translation Method:\nThe Direct Method and the Grammar-Translation Method are two distinct approaches to language teaching. The Direct Method emphasizes immersion and direct engagement with the target language, with little to no use of the learners' native language. This method can be effective in promoting fluency and natural language use, but it may also be challenging for beginners who lack a basic understanding of the target language. \n\nOn the other hand, the Grammar-Translation Method involves teaching grammar rules and vocabulary through translation exercises. This method can be useful in developing a deep understanding of the structure of the language, but it may not promote fluency or the ability to use the language in a natural, conversational way. \n\n3. Decline of the Audio-Lingual Method:\nThe Audio-Lingual Method, which emphasizes repetition and drilling, fell out of favor due to several criticisms. Firstly, it was criticized for its lack of focus on meaning and context, which are crucial aspects of language use. Secondly, it was seen as overly mechanical and repetitive, which can be demotivating for learners. Finally, the theoretical foundations of the method, which are based on behaviorist psychology, were increasingly questioned as more research emerged on the cognitive aspects of language learning. \n\n4. Communicative Language Teaching (CLT) and Communicative Competence:\nCLT emerged as a response to the limitations of previous methods. It emphasizes the importance of communicative competence, which involves not only grammatical knowledge but also the ability to use language appropriately in different social contexts. \n\nIn the CLT approach, learners are seen as active participants in the learning process, and teachers are facilitators rather than authoritative figures. This approach promotes learner autonomy and encourages meaningful communication, which can lead to more effective language learning. However, it also requires a high level of skill and flexibility on the part of the teacher, and it may not be suitable for all learning contexts.", "metadata": null} +{"prompt": "You're an expert triathlon coach using the latest science-based training methodologies. Please write me a training plan for my first Ironman 70.3 on the 2nd of June that starts in January. The training plan should include all three disciplines and be tailored to my specific experience level: I have no previous swimming experience, I have a solid foundation in cycling and I am an experienced runner. Build the plan in a way that allows me to improve my existing level of fitness in running while building enough fitness in the other two disciplines to finish the half ironman in June. \nI want to train 6 days a week but work a full time job, so keep in mind that I can do longer sessions only on the weekends. ", "search_helpful": false, "source": "arena_hard", "label": "Generating electricity without using any form of rotating generator or turbine can be challenging, as these are the most common methods. However, there are a few alternative methods that can be used:\n\n1. Photovoltaic Cells (Solar Power): Photovoltaic cells convert sunlight directly into electricity. They are made of semiconducting materials similar to those used in computer chips. When sunlight hits the cells, it knocks electrons loose from their atoms. As the electrons flow through the cell, they generate electricity.\n\n2. Thermoelectric Generators: These devices convert heat directly into electricity using a phenomenon called the Seebeck effect. When one side of the thermoelectric material is heated and the other is cooled, it causes electrons to flow, creating an electric current.\n\n3. Piezoelectricity: Certain materials, like quartz and certain ceramics, can generate an electric charge when they're compressed or struck. This is known as the piezoelectric effect. While it's not a practical way to generate large amounts of electricity, it can be used in certain niche applications.\n\n4. Radioisotope Thermoelectric Generators (RTGs): These are used by NASA for deep space missions. They use the heat generated by the decay of radioactive isotopes to generate electricity through the thermoelectric effect.\n\n5. Fuel Cells: A fuel cell combines hydrogen and oxygen to produce electricity, heat, and water. Fuel cells are used in various ways today, most commonly in spacecraft and some types of vehicles. They are very efficient, but expensive to build.", "metadata": null} +{"prompt": "A package delivery Service will charge 3\u20ac for shipping packages where the sum of the shortest and the longest side of the package must be below 50cm. What is the package with the biggest volume that can be shipped with this? ", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's an example of a blocking read that could be interrupted by a signal, with EINTR handling. This example is in C:\n\n```c\n#include \n#include \n#include \n#include \n\nvoid signal_handler(int signum) {\n printf(\"Signal received\\n\");\n}\n\nint main() {\n struct sigaction sa;\n sa.sa_handler = signal_handler;\n sigemptyset(&sa.sa_mask);\n sa.sa_flags = 0;\n if (sigaction(SIGINT, &sa, NULL) == -1) {\n perror(\"sigaction\");\n return 1;\n }\n\n char buf[1024];\n ssize_t len;\n while (1) {\n len = read(STDIN_FILENO, buf, sizeof(buf));\n if (len == -1) {\n if (errno == EINTR) {\n printf(\"Read was interrupted by a signal, retrying\\n\");\n continue;\n }\n perror(\"read\");\n return 1;\n }\n if (len == 0) {\n printf(\"EOF\\n\");\n return 0;\n }\n printf(\"Read %zd bytes\\n\", len);\n }\n}\n```\n\nIn this example, we set up a signal handler for `SIGINT` (which is sent when you press Ctrl+C) using `sigaction()`. Then we enter a loop where we call `read()` to read from standard input. If `read()` returns -1, we check if `errno` is `EINTR`, which indicates that the call was interrupted by a signal. If it was, we print a message and continue with the next iteration of the loop, effectively retrying the `read()`. If `read()` was not interrupted by a signal, we print an error message and exit. If `read()` returns 0, we print a message indicating end of file and exit. Otherwise, we print the number of bytes read and continue with the next iteration of the loop.", "metadata": null} +{"prompt": "Please write a Python function that receives a data frame with columns date and winner and returns the longest number of consecutive win by Alice", "search_helpful": false, "source": "arena_hard", "label": "Yes, there are several methods to control for multiple testing problems in hypothesis tests, including early stop-out methods. One of the most common methods is the Bonferroni correction, which adjusts the significance level by the number of tests being performed. However, this method can be overly conservative, especially when the tests are not independent.\n\nA more flexible approach is the False Discovery Rate (FDR) control, which allows for a certain proportion of false positives among the rejected hypotheses. The Benjamini-Hochberg procedure is a popular method for controlling the FDR.\n\nIn your case, you could use these methods to select a subset of strategies to test. You could rank your strategies by their initial probability of skill, and then use the Bonferroni correction or FDR control to determine how many of the top-ranked strategies to test.\n\nAnother approach is sequential testing, where you start by testing the strategy with the highest initial probability of skill, and then test the next highest, and so on, until you reach a strategy that fails to reject the null hypothesis. This is an early stop-out method, as you stop testing as soon as you find a strategy that is not significantly better than random.\n\nHowever, these methods are not without their drawbacks. The Bonferroni correction can be overly conservative, leading to a high rate of false negatives. The FDR control allows for a certain proportion of false positives, which may not be acceptable in your case. Sequential testing can also be biased, as it gives more weight to the strategies tested earlier.\n\nTherefore, it's important to carefully consider the trade-offs of each method and choose the one that best fits your needs and the characteristics of your data.", "metadata": null} +{"prompt": "As part of extracting structured information from unstructured text, given a text passage to LLM model output a Open Information Extraction with entities and relationships in a valid json.\\nDon't include any text in response such as 'here are facts..' etc, return only valid json.\\nExamples:\\nInput: Apple Inc. is headquartered in Cupertino, California. Tim Cook is the CEO of Apple.\\nOutput: {'entities': [[1, 'Apple Inc.', 'Company'], [2, 'Cupertino, California', 'Location'], [3, 'Tim Cook', 'Person']], 'relationships': [[1, 'is headquartered in', 2], [3, 'is the CEO of', 1]]}\\nInput: Sorry!\\nOutput: {'entities': [], 'relationships': []}\\nInput: Barack Obama was the 44th president of the United States. He was born in Honolulu, Hawaii, on August 4, 1961. He graduated from Columbia University and Harvard Law School. He served in the Illinois State Senate from 1997 to 2004. In 2008, he was elected president of the United States, defeating Republican nominee John McCain. He was re-elected in 2012, defeating Republican nominee Mitt Romney.\\nOutput:", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple example of how you might use the YOLO (You Only Look Once) object detection system with Python. This script will process a batch of images and save the identified features as tags.\n\nFirst, you need to install the required libraries. You can do this using pip:\n\n```bash\npip install opencv-python\npip install numpy\n```\n\nThen, you can use the following script:\n\n```python\nimport cv2\nimport numpy as np\n\n# Load Yolo\nnet = cv2.dnn.readNet(\"yolov3.weights\", \"yolov3.cfg\")\nlayer_names = net.getLayerNames()\noutput_layers = [layer_names[i[0] - 1] for i in net.getUnconnectedOutLayers()]\n\n# Loading image\nimg = cv2.imread(\"image.jpg\")\nimg = cv2.resize(img, None, fx=0.4, fy=0.4)\nheight, width, channels = img.shape\n\n# Detecting objects\nblob = cv2.dnn.blobFromImage(img, 0.00392, (416, 416), (0, 0, 0), True, crop=False)\nnet.setInput(blob)\nouts = net.forward(output_layers)\n\nclass_ids = []\nconfidences = []\nboxes = []\nfor out in outs:\n for detection in out:\n scores = detection[5:]\n class_id = np.argmax(scores)\n confidence = scores[class_id]\n if confidence > 0.5:\n # Object detected\n center_x = int(detection[0] * width)\n center_y = int(detection[1] * height)\n w = int(detection[2] * width)\n h = int(detection[3] * height)\n\n # Rectangle coordinates\n x = int(center_x - w / 2)\n y = int(center_y - h / 2)\n\n boxes.append([x, y, w, h])\n confidences.append(float(confidence))\n class_ids.append(class_id)\n\nindexes = cv2.dnn.NMSBoxes(boxes, confidences, 0.5, 0.4)\n\n# Loading the class labels\nwith open(\"coco.names\", \"r\") as f:\n classes = [line.strip() for line in f.readlines()]\n\n# Saving the identified features as tags\ntags = []\nfor i in range(len(boxes)):\n if i in indexes:\n label = str(classes[class_ids[i]])\n tags.append(label)\n\nprint(tags)\n```\n\nPlease note that you need to have the `yolov3.weights`, `yolov3.cfg`, and `coco.names` files in the same directory as your script. You can download these files from the official YOLO website.\n\nThis script will print out the tags of the detected objects in the image. If you want to save these tags to a file, you can simply write them to a file:\n\n```python\nwith open('tags.txt', 'w') as f:\n for tag in tags:\n f.write(\"%s\\n\" % tag)\n```\n\nThis will create a text file named `tags.txt` where each line is a tag of a detected object.", "metadata": null} +{"prompt": "Just quickly, do you agree with this sentence: \"The design of capsule networks appears to be most well-suited for classification problems which have clearly defined entities and might be less well-suited to problems where entities are more difficult to define, such as weather patterns.\"", "search_helpful": false, "source": "arena_hard", "label": "The dead code in your program is the line `return glob;` in the `rep()` function. This line will never be executed because the function will either return from `return glob;` when `glob==10` or it will return from the recursive call `return rep();`. Here is your code with the dead code removed:\n\n```c++\n#include \n\nusing namespace std;\n\nint glob = 0;\n\nint rep() {\n glob++;\n if (glob==10) {\n return glob;\n } else {\n return rep();\n }\n}\n\nint main() {\n printf(\"Burger Time\");\n size_t cnt = 0;\n while(1) {\n if (cnt %32 == 0) {\n printf(\"What time is it?\");\n }\n if (cnt++ == 100) {\n break;\n }\n printf (\"cnt: %d\", cnt);\n } // end of while\n return rep();\n} // end of main\n```\n\nAlso, the commented line `//if (++cnt) { if (cnt++ == 100) { break; } }` is not necessary and can be removed.", "metadata": null} +{"prompt": "Can you generate an A level exam question on circular motion, with an according mark scheme and answer.", "search_helpful": false, "source": "arena_hard", "label": "Let $m$ and $6m$ be the slopes of the two lines. The angle between two lines with slopes $m_1$ and $m_2$ is given by the formula\n\\[\\tan \\theta = \\frac{m_1 - m_2}{1 + m_1m_2}.\\]\nTherefore, we have\n\\[\\tan 45^\\circ = \\frac{m - 6m}{1 + 6m^2} = \\frac{-5m}{1 + 6m^2}.\\]\nSince $\\tan 45^\\circ = 1$, we have $-5m = 1 + 6m^2$. Rearranging gives $6m^2 + 5m - 1 = 0$. By the quadratic formula, the roots of this equation are\n\\[m = \\frac{-5 \\pm \\sqrt{5^2 - 4 \\cdot 6 \\cdot (-1)}}{2 \\cdot 6} = \\frac{-5 \\pm \\sqrt{49}}{12} = -1, \\frac{1}{2}.\\]\nWe discard the solution $m = -1$ because the problem asks for the maximum product of the slopes, and $m = -1$ would give a product of $-6$, which is less than the product of $3$ we get when $m = \\frac{1}{2}$. Therefore, the maximum product of the slopes is $\\boxed{3}$.", "metadata": null} +{"prompt": "Tell me the highest yield 15 facts to help me study for the nuclear cardiology board exam I have to take tomorrow. Focus on providing me with info that is likely to be on the test, but is more obscure than super common information.", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple Python code using yfinance and matplotlib to get daily stocks data and plot it. This example uses Apple Inc. (AAPL) as the stock symbol.\n\n```python\nimport yfinance as yf\nimport matplotlib.pyplot as plt\n\n# Download stock data\ndata = yf.download('AAPL', start='2020-01-01', end='2022-12-31')\n\n# Plot the close price\ndata['Close'].plot()\nplt.title('AAPL Daily Close Price')\nplt.xlabel('Date')\nplt.ylabel('Close Price (USD)')\nplt.show()\n```\n\nThis code will download the daily stock data for AAPL from January 1, 2020 to December 31, 2022, and then plot the closing price for each day.\n\nPlease make sure to install the necessary libraries by using pip:\n\n```bash\npip install yfinance matplotlib pandas\n```\n\nAlso, please replace 'AAPL' with your desired stock symbol and adjust the start and end dates as needed.", "metadata": null} +{"prompt": "Now navigate to this page. https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/home.html?lang=en \nOn the left rail, there is a menu with nested menus that can be expanded. Extract each menu label and corresponding URLs. Ouput this in a CSV file with one column for the menu label and the other column for the full path url", "search_helpful": false, "source": "arena_hard", "label": "1. Unity:\n - Pros: Unity is a powerful engine that supports 2D and 3D game development. It has a large community, extensive documentation, and a vast asset store. It supports multiple platforms including web, mobile, and desktop. Unity also supports VR/AR development.\n - Cons: The learning curve can be steep for beginners. The engine is quite heavy and may not be suitable for simple web games. Some advanced features require a paid subscription.\n\n2. Unreal Engine:\n - Pros: Unreal Engine is known for its high-quality graphics and visual scripting system (Blueprints). It's great for creating complex, AAA-quality games. It also supports multiple platforms.\n - Cons: Unreal Engine can be overkill for simple web games. It has a steep learning curve and requires a powerful computer to run smoothly. The engine's source code is written in C++, which can be challenging for beginners.\n\n3. Phaser:\n - Pros: Phaser is a lightweight, fast, and free open-source framework specifically for web game development. It's easy to learn and use, especially for those familiar with JavaScript. It has good documentation and a supportive community.\n - Cons: Phaser is not as powerful as Unity or Unreal Engine. It doesn't support 3D game development. The engine is less suitable for large, complex games.\n\n4. Godot:\n - Pros: Godot is a free and open-source engine that supports both 2D and 3D game development. It has a unique scripting language (GDScript) that's easy to learn. Godot is lightweight and runs well on all platforms.\n - Cons: Godot's community is smaller, so finding help or resources can be harder. The engine's 3D capabilities are not as powerful as Unity or Unreal Engine.\n\n5. PlayCanvas:\n - Pros: PlayCanvas is a cloud-based engine that allows real-time collaboration. It's lightweight and designed specifically for web games. The engine supports both 2D and 3D game development.\n - Cons: PlayCanvas is not as feature-rich as some other engines. The free version has limitations, and you may need to upgrade to a paid plan for more resources.\n\n6. Construct:\n - Pros: Construct is a great engine for beginners. It uses a visual scripting system, so you don't need to know how to code. It's lightweight and designed specifically for 2D web games.\n - Cons: Construct is not suitable for 3D games. The engine's capabilities are limited compared to more powerful engines. Some features require a subscription.\n\nAll these engines are popular and actively maintained, so they are unlikely to be outdated soon. However, technology is always evolving, and new tools may emerge in the future.", "metadata": null} +{"prompt": "count distinct values in a column given a constraint from another column using over clause in ssms", "search_helpful": false, "source": "arena_hard", "label": "I'm sorry for the misunderstanding, but as an AI text-based model developed by OpenAI, I don't have the ability to browse the internet, navigate web pages, or interact with them in real time. Therefore, I can't extract the information you're asking for. However, I can guide you on how to do it manually or programmatically.\n\nIf you want to do it manually, you can right-click on each menu item, copy the link address, and paste it into a CSV file along with the menu label.\n\nIf you want to do it programmatically, you can use web scraping tools like BeautifulSoup in Python. Here's a simple example of how you might do it:\n\n```python\nimport requests\nfrom bs4 import BeautifulSoup\nimport csv\n\nurl = \"https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/home.html?lang=en\"\nresponse = requests.get(url)\nsoup = BeautifulSoup(response.text, 'html.parser')\n\nmenu_items = soup.find_all('a', {'class': 'your-menu-class'}) # replace 'your-menu-class' with the actual class\n\nwith open('output.csv', 'w', newline='') as file:\n writer = csv.writer(file)\n writer.writerow([\"Menu Label\", \"URL\"])\n for item in menu_items:\n writer.writerow([item.text, item['href']])\n```\n\nPlease note that you'll need to replace `'your-menu-class'` with the actual class name of the menu items on the webpage. Also, this is a very basic example and might not work perfectly for your webpage due to its specific structure or any potential restrictions on web scraping.", "metadata": null} +{"prompt": "Hi, I would like the python code for turning excel cells into coloured powerpoint squares", "search_helpful": false, "source": "arena_hard", "label": "Creating a conversion of the Pathfinder Cryptic class to D&D 5e requires a careful balance of maintaining the unique features of the class while fitting it into the structure of 5e. Here's a basic outline of how the Cryptic class might look in 5e:\n\n**Cryptic**\n\n*Hit Points*\n- Hit Dice: 1d8 per Cryptic level\n- Hit Points at 1st Level: 8 + your Constitution modifier\n- Hit Points at Higher Levels: 1d8 (or 5) + your Constitution modifier per Cryptic level after 1st\n\n*Proficiencies*\n- Armor: Light armor\n- Weapons: Simple weapons\n- Tools: None\n- Saving Throws: Intelligence, Wisdom\n- Skills: Choose two from Arcana, History, Insight, Investigation, Perception, and Stealth\n\n**Equipment**\nYou start with the following equipment, in addition to the equipment granted by your background:\n- (a) a light crossbow and 20 bolts or (b) any simple weapon\n- (a) a scholar's pack or (b) an explorer's pack\n- Leather armor and a dagger\n\n**Class Features**\n\n**1st Level: Pattern Designs**\nYou can create a pattern design, a form of psychic energy construct. You can use this feature a number of times equal to your Intelligence modifier (minimum of once). You regain all expended uses when you finish a long rest.\n\n**2nd Level: Insightful Defense**\nWhile you are wearing no armor and not wielding a shield, your AC equals 10 + your Dexterity modifier + your Intelligence modifier.\n\n**3rd Level: Cryptic Archetype**\nChoose your Cryptic Archetype: Disruptor or Decoder. Your choice grants you features at 3rd level and again at 7th, 11th, 15th, and 18th level.\n\n**4th Level: Ability Score Improvement**\nAs normal for 5e classes.\n\n**5th Level: Extra Attack**\nYou can attack twice, instead of once, whenever you take the Attack action on your turn.\n\n**6th Level: Pattern Recognition**\nYou gain advantage on Intelligence (Investigation) checks to decipher patterns, codes, and similar puzzles.\n\n**7th Level: Cryptic Archetype Feature**\n\n**8th Level: Ability Score Improvement**\n\n**9th Level: Improved Pattern Designs**\nYour pattern designs become more powerful. Your DM will provide the specifics based on your chosen designs.\n\n**10th Level: Evasion**\nWhen you are subjected to an effect that allows you to make a Dexterity saving throw to take only half damage, you instead take no damage if you succeed on the saving throw, and only half damage if you fail.\n\n**11th Level: Cryptic Archetype Feature**\n\n**12th Level: Ability Score Improvement**\n\n**13th Level: Pattern Mastery**\nYou can now use your Pattern Designs feature an unlimited number of times.\n\n**14th Level: Improved Insightful Defense**\nYour AC increases by an additional +1.\n\n**15th Level: Cryptic Archetype Feature**\n\n**16th Level: Ability Score Improvement**\n\n**17th Level: Greater Pattern Designs**\nYour pattern designs become even more powerful. Your DM will provide the specifics based on your chosen designs.\n\n**18th Level: Cryptic Archetype Feature**\n\n**19th Level: Ability Score Improvement**\n\n**20th Level: Perfect Pattern**\nYou can now create a perfect pattern once per long rest. Your DM will provide the specifics based on your chosen designs.\n\n**Cryptic Archetypes**\n\n**Disruptor**\nAs a disruptor, you specialize in using your pattern designs to disrupt and damage your enemies.\n\n**Decoder**\nAs a decoder, you specialize in deciphering patterns and using them to your advantage.\n\nThis is a basic outline and would need to be fleshed out with more specifics, especially regarding the pattern designs and the features of the Cryptic Archetypes. It's also important to ensure that the class is balanced in comparison to the other classes in 5e.", "metadata": null} +{"prompt": "Query an excel table using MySQL to select dram excel table tree species by diameter class, count the number of representation of the diameter class and some volume of the total", "search_helpful": false, "source": "arena_hard", "label": "Technical Requirements Specification for a Sepsis Diagnostic System\n\n1. System Overview:\nThe diagnostic system should consist of a reader and consumable components that can detect sepsis using a blood sample. The system should be designed for use in a European hospital setting.\n\n2. Functional Requirements:\n\n2.1. The system should be able to accurately detect sepsis from a blood sample within a specified time frame.\n\n2.2. The system should be able to handle multiple samples simultaneously.\n\n2.3. The system should provide clear and easy-to-understand results.\n\n2.4. The system should have a user-friendly interface for inputting patient information and retrieving results.\n\n2.5. The system should have a feature for storing and retrieving patient data securely.\n\n2.6. The system should be able to integrate with the hospital's existing health information system.\n\n3. Performance Requirements:\n\n3.1. The system should have a high sensitivity and specificity for detecting sepsis.\n\n3.2. The system should have a fast turnaround time for results.\n\n3.3. The system should have a high uptime and low maintenance requirements.\n\n4. Safety and Security Requirements:\n\n4.1. The system should comply with the European Union's General Data Protection Regulation (GDPR) for patient data privacy and security.\n\n4.2. The system should comply with the relevant European Union's Medical Device Regulations (MDR).\n\n4.3. The system should have built-in safety features to prevent misuse and accidents.\n\n5. Technical Requirements:\n\n5.1. The system should operate on a standard electrical supply available in European hospitals.\n\n5.2. The system should be compatible with standard laboratory equipment and consumables.\n\n5.3. The system should have a compact design to fit in a standard laboratory space.\n\n6. Environmental Requirements:\n\n6.1. The system should operate effectively in a typical hospital laboratory environment, including temperature, humidity, and lighting conditions.\n\n6.2. The system should be resistant to common cleaning and disinfection methods used in hospitals.\n\n7. Regulatory Requirements:\n\n7.1. The system should comply with all relevant European Union regulations and standards for medical devices.\n\n7.2. The system should be CE marked, indicating conformity with health, safety, and environmental protection standards for products sold within the European Economic Area (EEA).\n\n8. Training and Support Requirements:\n\n8.1. The supplier should provide comprehensive training to hospital staff on the use and maintenance of the system.\n\n8.2. The supplier should provide ongoing technical support and maintenance services.\n\n9. Consumables:\n\n9.1. The consumables used in the system should be easily available and affordable.\n\n9.2. The consumables should have a long shelf-life and be easy to store.\n\n9.3. The consumables should be safe to handle and dispose of, in accordance with hospital and environmental regulations.", "metadata": null} +{"prompt": "Help me filter and delete each row in an excel table, where value of a certain column is 0 ", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple JavaScript code snippet that uses the Leibniz formula for \u03c0 to calculate an approximation:\n\n```javascript\nfunction calculatePi(iterations) {\n let pi = 0;\n let iterator = 400000;\n\n for (let i = 0; i < iterations * iterator; i++) {\n let term = Math.pow(-1, i) / (2 * i + 1); // Leibniz formula for \u03c0\n pi += term;\n }\n\n return pi * 4; // Multiply by 4 to get \u03c0\n}\n\nconsole.log(calculatePi(100)); // Increase the number for more accurate results\n```\n\nPlease note that this is a very basic approximation of \u03c0. The Leibniz formula for \u03c0 is not very efficient and the real value of \u03c0 can't be exactly calculated because it's an irrational number. The more iterations you use, the closer the approximation will be.", "metadata": null} +{"prompt": "How to achieve multiple rows of data into one row of data in Excel?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple step-by-step guide on how to build a Keras script to train and categorize data from a CSV file:\n\n1. **Import necessary libraries:**\n You'll need to import pandas for data manipulation, keras for building the neural network, and sklearn for preprocessing the data.\n\n ```python\n import pandas as pd\n from keras.models import Sequential\n from keras.layers import Dense\n from sklearn.model_selection import train_test_split\n from sklearn.preprocessing import LabelEncoder, StandardScaler\n ```\n\n2. **Load your CSV data:**\n Use pandas to load your CSV file.\n\n ```python\n dataset = pd.read_csv('yourfile.csv')\n ```\n\n3. **Preprocess the data:**\n Depending on your data, you might need to preprocess it. This could include encoding categorical variables, handling missing values, and scaling numerical variables.\n\n ```python\n # Assume that the last column is the target variable and the rest are features\n X = dataset.iloc[:, :-1].values\n y = dataset.iloc[:, -1].values\n\n # Encode categorical variables\n labelencoder_y = LabelEncoder()\n y = labelencoder_y.fit_transform(y)\n\n # Scale numerical variables\n scaler = StandardScaler()\n X = scaler.fit_transform(X)\n ```\n\n4. **Split the data into training and test sets:**\n This will allow you to evaluate the performance of your model.\n\n ```python\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2)\n ```\n\n5. **Build the Keras model:**\n You can now build your Keras model. This will depend on your specific problem, but here's a simple example of a binary classification model.\n\n ```python\n model = Sequential()\n model.add(Dense(12, input_dim=X_train.shape[1], activation='relu'))\n model.add(Dense(8, activation='relu'))\n model.add(Dense(1, activation='sigmoid'))\n ```\n\n6. **Compile the model:**\n You'll need to compile the model before you can train it. You'll need to specify the optimizer, loss function, and metrics.\n\n ```python\n model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n ```\n\n7. **Train the model:**\n You can now train the model using your training data.\n\n ```python\n model.fit(X_train, y_train, epochs=50, batch_size=10)\n ```\n\n8. **Evaluate the model:**\n Finally, you can evaluate the performance of your model on the test set.\n\n ```python\n _, accuracy = model.evaluate(X_test, y_test)\n print('Accuracy: %.2f' % (accuracy*100))\n ```\n\nRemember to adjust the script according to your specific needs, such as the architecture of the model, the preprocessing steps, and the parameters for training the model.", "metadata": null} +{"prompt": "# Role\nYou are a world renown Certification Exam Psychometrician. Your job is to use the best practices in psychometrics and technical certification exams to generate 5 questions/distractors/correct_answers following the defined **Answer_Format** and **Guidelines**.\nThe question must be based on the provided data. Only use the provided **Dataset** to generate the questions.\n# Answer_Format\nYou provide only the mentioned Variables. No explanation, no salutes, nothing other than the variables response.\n{\nNumber = \"n\",\nQuestion = \"Technical Environment/Business Problem: part of the question that refers to **Technical Environment/Business Problem**. Goal Statement: Part of the question that refers to the **Goal Statement**. Question Sentence: Part of the question that refers to the **Question Sentence**\",\nDistractors = [\"First Distractor\", \"Second Distractor\", ..., \"Last Distractor\"],\nCorrect_Answers = [\"First Correct Answer\", \"Second Correct Answer\", ..., \"Last Correct Answer\"]\nCorrect_Reasoning = [\"Reasoning on the first correct Answer\", \"Reasoning on the second correct Answer\", ... , \"Reasoning on the last correct Answer\"]\n}\n\n# Guidelines\n\n\u00a0- You need to follow the Answer format to provide the answer.\n\u00a0- \u00a0Each distractor and Correct_Answer should be about the same size.\n\n## Question Rules\n\n\u00a0- Each question needs to have 3 parts. Each part have its own rules. Please follow the rules contained in each part. The parts are: **Technical Environment/Business Problem**, **Goal Statement**, and **Question Sentence**\n\n### Technical Environment/Business Problem\n\n\u00a0- Describe from general to specific\n\u00a0- Include only necessary information; no extraneous text\n\u00a0- Questions must not provide cues or clues that will give away the correct answer to an unqualified candidate.\n\n### Goal Statement\n\u00a0\n\u00a0- Precise, clear, and logically connect to stem and answer choices\n\u00a0- Typically begins with \u201cYou need to\u2026\u201d\n\u00a0- Specify parameters for completing goal (e.g., lowest software cost,\n\u00a0 \u00a0least amount of time, least amount of coding lines/effort, etc.)\n\n### Question Sentence\n\n\u00a0- Typically \u201cWhat should you do?\u201d or \u201cWhat should you do next?\u201d\n\u00a0- May incorporate text from answer choices where appropriate\n\u00a0- Example: If all answer choices are tools: \u201cWhich tool should you\n\u00a0 \u00a0install?\u201d\n\u00a0- Should not be a negative question; i.e., \u201cWhich of the following is\n\u00a0 \u00a0NOT\u2026\u201d\n\n## Distractor Rules\n\n\u00a0- Distractors are wrong answers to the provided questions.\n\u00a0- You need to provide 3 distractors.\n\u00a0- Distractors need to be somewhat believable answers.\n\u00a0- The correct_answ", "search_helpful": false, "source": "arena_hard", "label": "To make the end time 1 millisecond earlier, you can convert the end time to datetime, subtract 1 millisecond, and then convert it back to string. Here's how you can modify your code:\n\n```python\nimport datetime\nimport re\nimport subprocess\n\ndef burn_subtitles(video_path, ass_subtitle_path, output_video_path):\n command = [\n 'ffmpeg',\n '-i', video_path, # Input video file\n '-vf', f\"subtitles={ass_subtitle_path}\", # Correct filter for subtitles\n '-c:a', 'copy', # Copy audio stream without re-encoding\n output_video_path # Output video file\n ]\n subprocess.run(command)\n\ndef convert_srt_to_ass(srt_content):\n # ASS header\n ass_header = (\n \"[Script Info]\\n\"\n \"ScriptType: v4.00+\\n\"\n \"PlayResX: 384\\n\"\n \"PlayResY: 288\\n\\n\"\n \"[V4+ Styles]\\n\"\n \"Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding\\n\"\n \"Style: Default,Arial,16,&H00FFFFFF,&H0000FF00,&H00000000,&H00000000,0,0,0,0,100,100,0,0,1,1,0,2,10,10,10,1\\n\\n\"\n \"[Events]\\n\"\n \"Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text\\n\"\n )\n\n ass_content = ass_header\n matches = list(re.finditer(r'(\\d+)\\n(\\d{2}:\\d{2}:\\d{2},\\d{3}) --> (\\d{2}:\\d{2}:\\d{2},\\d{3})\\n(.+?)\\n\\n', srt_content, re.DOTALL))\n\n prev_end = \"00:00:00.000\"\n \n for i, match in enumerate(matches):\n start, end, text = match.group(2), match.group(3), match.group(4)\n start = start.replace(',', '.')\n end = end.replace(',', '.')\n\n if start <= prev_end:\n start = prev_end\n\n # Convert end time to datetime, subtract 1 millisecond, and convert back to string\n end_datetime = datetime.datetime.strptime(end, \"%H:%M:%S.%f\")\n end_datetime -= datetime.timedelta(milliseconds=1)\n end = end_datetime.strftime(\"%H:%M:%S.%f\")[:-3] # Remove the last 3 digits (microseconds)\n\n prev_end = end\n\n text = text.replace('', '{\\\\c&H00FF00&}').replace('', '{\\\\c&HFFFFFF&}')\n text = text.replace('\\n', '\\\\N')\n ass_content += f\"Dialogue: 0,{start},{end},Default,,0,0,0,,{text}\\n\"\n\n return ass_content\n\nsrt_file_path = 'a.srt'\n\nwith open(srt_file_path, 'r', encoding='utf-8') as file:\n srt_content = file.read()\n\nass_content = convert_srt_to_ass(srt_content)\n\nass_file_path = 'a.ass'\nwith open(ass_file_path, 'w') as file:\n file.write(ass_content)\n\nburn_subtitles('b.mp4', ass_file_path, 'c2.mp4')\n```\n\nThis code will make the end time of each subtitle 1 millisecond earlier than the original.", "metadata": null} +{"prompt": "write a detailed section about \"ethical considerations during research and data analysis\". List references and focus on anonymity of data, and avoiding bias", "search_helpful": false, "source": "arena_hard", "label": "The sum of 100 fair six-sided dice follows a normal distribution because of the Central Limit Theorem. The mean (\u03bc) of a single die roll is 3.5 and the standard deviation (\u03c3) is about 1.71 (the square root of 35/12).\n\nFor 100 dice, the mean is 100 * 3.5 = 350 and the standard deviation is sqrt(100) * 1.71 = 17.1.\n\nA 95% confidence interval for a normal distribution is approximately \u03bc \u00b1 1.96\u03c3. So, the 95% confidence interval for the sum of 100 fair six-sided dice is 350 \u00b1 1.96 * 17.1, which is approximately 350 \u00b1 33.5. \n\nSo, the 95% confidence interval is approximately (316.5, 383.5).", "metadata": null} +{"prompt": "Develop a Python program snippet to Determine High Sneezing and coughing etiquette: Preventing Spread of Germs for Engineer for Experts. Incorporate if/else or switch/case statements to handle various cases related to the Bias. Dry-run, ensure your control flow logic is clear and well-commented", "search_helpful": false, "source": "arena_hard", "label": "Creating a circular slider for a website is a bit more complex than a traditional linear slider, but it's definitely possible. Here's a basic outline of how you could approach this:\n\n1. **Design the Slider**: You'll need to design the slider with concentric circles. You can use a graphic design tool like Adobe Illustrator or Sketch for this. The circles will represent different values on the slider.\n\n2. **Create the Slider in HTML/CSS**: You'll need to create the slider in HTML/CSS. The circles can be created using the border-radius property in CSS. You can use the :hover pseudo-class to change the appearance of the circle when the user hovers over it.\n\n3. **Add Interactivity with JavaScript**: You'll need to use JavaScript to make the slider interactive. You can use the onmousedown, onmousemove, and onmouseup events to detect when the user is interacting with the slider. You can then use the event's clientX and clientY properties to determine the position of the mouse and adjust the radius of the selected circle accordingly.\n\nHere's a very basic example of how you could create a circular slider in HTML/CSS/JavaScript:\n\nHTML:\n```html\n
\n
\n
\n```\n\nCSS:\n```css\n#slider {\n position: relative;\n width: 300px;\n height: 300px;\n border: 1px solid #000;\n border-radius: 50%;\n}\n\n#selectedCircle {\n position: absolute;\n width: 50px;\n height: 50px;\n border: 1px solid #000;\n border-radius: 50%;\n}\n```\n\nJavaScript:\n```javascript\nvar slider = document.getElementById('slider');\nvar selectedCircle = document.getElementById('selectedCircle');\n\nslider.onmousedown = function(event) {\n moveAt(event);\n function moveAt(event) {\n var x = event.clientX - slider.getBoundingClientRect().left;\n var y = event.clientY - slider.getBoundingClientRect().top;\n var radius = Math.sqrt(x*x + y*y);\n selectedCircle.style.width = radius * 2 + 'px';\n selectedCircle.style.height = radius * 2 + 'px';\n }\n slider.onmousemove = function(event) {\n moveAt(event);\n };\n slider.onmouseup = function() {\n slider.onmousemove = null;\n slider.onmouseup = null;\n };\n};\n```\n\nThis is a very basic example and there's a lot more you could do to improve it. For example, you could add animations to make the slider smoother, or add labels to the circles to indicate their values. You could also add touch events to make the slider work on touch devices.", "metadata": null} +{"prompt": "You are the coordinator of a network of specialists in a software support system for a large enterprise software. Your task is to answer support questions posed by end users. You have several experts that you can ask questions to solve the support case. The specialists are: \"support-history-expert\" who has a full history of all support cases along with their solutions. \"support-code-expert\" who has knowledge about the full sourcecode and history of the software project, \"support-subject-expert\" who has knowledge about the professional subject and interrelationships independent of code, \"support-workflow-expert\" who has knowledge about the workflow and routing of support topics and a \"support-staff-expert\" who has knowledge about human responsibilities inside the support network. Your task is to coordinate a decision how to handle a support case by intelligently querying your experts and taking all expert responses and insights in consideration. The experts are themselves large language models, you can query them multiple times. Let's work on a support case I will give you. You in turn address each question to an expert by stating its name and the question. I will enter the experts responses until you come to a conclusion.", "search_helpful": false, "source": "arena_hard", "label": "The puzzle you're referring to is a classic problem in the field of combinatorial geometry. The maximum number of points you can place on a plane such that no three points are collinear (i.e., no three points form a straight line) is 4. \n\nHere's why: \n\n1. Start with a single point. Obviously, no lines can be drawn, so no three points can form a straight line.\n\n2. Add a second point. You can draw a line between the two points, but again, no three points form a straight line.\n\n3. Add a third point. You can draw lines between each pair of points, forming a triangle. Still, no three points form a straight line.\n\n4. Add a fourth point. You can place this point inside the triangle formed by the first three points. You can draw lines between this point and each of the other three points, but no three points form a straight line.\n\n5. If you try to add a fifth point, no matter where you place it, it will always be possible to draw a straight line through it and two of the other points. Therefore, the maximum number of points you can place on a plane such that no three points are collinear is 4.", "metadata": null} +{"prompt": "i want to encode a video using ffmpeg and the codecs vp9 and opus. please provide me with a high quality script using the CRF function", "search_helpful": false, "source": "arena_hard", "label": "The title \"Pharaoh\" comes from the ancient Egyptian term \"per-aa,\" which means \"great house\" or \"palace.\" It was originally used to refer to the royal palace and the complex of buildings where the king and his administration operated. Over time, the term began to be used as a metonym for the king himself.\n\nThe linguistic evolution of the term \"Pharaoh\" is quite interesting. The term \"per-aa\" was used in ancient Egypt from the Old Kingdom period (around 2686\u20132181 BC) onwards. However, it was not used as a title for the king until the New Kingdom period (around 1550\u20131069 BC). During the New Kingdom, the term \"per-aa\" was often followed by the king's name, similar to how we might say \"President Biden\" today.\n\nThe term \"Pharaoh\" as we know it today comes from the Greek language. The ancient Greeks, who had extensive contact with Egypt, borrowed the term \"per-aa\" and pronounced it as \"phara\u00f3.\" This Greek term was then borrowed into Latin as \"pharaoh,\" and from Latin, it entered English and many other languages.\n\nIn terms of its use during antiquity, the term \"Pharaoh\" was used to refer to the king of Egypt, who was considered a living god. The Pharaoh was the political and religious leader of the Egyptian people, responsible for maintaining Ma'at, the cosmic order or balance.\n\nIn modern usage, the term \"Pharaoh\" is used to refer to the ancient kings of Egypt, especially those of the New Kingdom period. It is also used metaphorically to refer to someone who is tyrannical or autocratic. For example, in the Bible, the king of Egypt who oppressed the Israelites is referred to as \"Pharaoh.\"\n\nAcross geographies, the term \"Pharaoh\" is used in many languages to refer to the ancient kings of Egypt. However, the pronunciation and spelling can vary. For example, in French, it is \"Pharaon,\" in German, it is \"Pharao,\" and in Arabic, it is \"Firaun.\" Despite these variations, the term is universally recognized and associated with the ancient civilization of Egypt.", "metadata": null} +{"prompt": "```\n[\n {\n \"Name\": \"libaom (Two-pass)\",\n \"Description\": \"2-pass, In order to create more efficient encodes when a particular target bitrate should be reached.\",\n \"First_pass\": \"-pass 1 -an -sn -c:v libaom-av1 -b:v 2M -usage good -cpu-used 4 -row-mt 1 -tiles 2x2 -g 250 -keyint_min 250 -pix_fmt yuv420p -f null\",\n \"Second_pass\": \"-pass 2 -c:v libaom-av1 -b:v 2M -usage good -cpu-used 4 -row-mt 1 -tiles 2x2 -g 250 -keyint_min 250 -pix_fmt yuv420p -map 0:v? -map_chapters 0 -map 0:s? -c:a: libopus -compression_level 5 -map 0:a:? -map_metadata 0\",\n \"Supported_list\": \"\",\n \"Output_extension\": \"mkv\"\n }\n]\n```\n\nUsing the provided code block as reference, create a videomass preset that converts a video file to av1 with close to lossless quality while also reducing file size. make sure it is two-pass.", "search_helpful": false, "source": "arena_hard", "label": "Sure, here are some Python functions that could be used in a project management system:\n\n1. Function to create a new project:\n\n```python\ndef create_project(project_name, start_date, end_date, resources):\n # code to create a new project\n```\n\n2. Function to allocate resources to a project:\n\n```python\ndef allocate_resources(project_id, resources):\n # code to allocate resources to a project\n```\n\n3. Function to manage risk:\n\n```python\ndef manage_risk(project_id, risk):\n # code to manage risk in a project\n```\n\n4. Function to track project progress:\n\n```python\ndef track_project(project_id):\n # code to track the progress of a project\n```\n\n5. Function to update project status:\n\n```python\ndef update_project_status(project_id, status):\n # code to update the status of a project\n```\n\n6. Function to close a project:\n\n```python\ndef close_project(project_id):\n # code to close a project\n```\n\nPlease note that these are just function definitions. The actual implementation would depend on the specifics of your project management system, such as how you're storing project data, what kind of resources you're dealing with, how you're defining and managing risk, etc.", "metadata": null} +{"prompt": "As a Software Engineering professor, create topics for an \"Software Architecture\" discipline that you are going to teach. The discipline has three classes of 10 hours each. It is a especialization course.", "search_helpful": false, "source": "arena_hard", "label": "Flashing a Corne keyboard that has VIA installed involves several steps. Here's a general guide:\n\n1. **Download QMK Toolbox**: QMK Toolbox is a tool that allows you to flash your keyboard firmware. You can download it from the QMK Firmware website.\n\n2. **Download the Firmware**: You need to download the correct firmware for your Corne keyboard. You can find this on the QMK Firmware website as well. Make sure to choose the correct layout and options for your keyboard.\n\n3. **Open QMK Toolbox**: Once you have downloaded and installed QMK Toolbox, open it.\n\n4. **Load the Firmware**: In QMK Toolbox, click on the \"Open\" button and navigate to the firmware file you downloaded. Select it and click \"Open\".\n\n5. **Put Your Keyboard in Flash Mode**: This step may vary depending on your keyboard. Generally, there is a button on the back of the keyboard that you need to press to put it in flash mode. If you're unsure, check the documentation for your specific keyboard.\n\n6. **Flash the Firmware**: Once your keyboard is in flash mode, click the \"Flash\" button in QMK Toolbox. The program should detect your keyboard and begin flashing the firmware. Once it's done, your keyboard should reboot and be ready to use.\n\nRemember, flashing firmware can potentially brick your device if not done correctly. Always double-check that you're using the correct firmware and following the correct steps. If you're unsure, it's best to seek help from someone experienced with the process.", "metadata": null} +{"prompt": "Given `n` and `p`, write down a JavaScript function that computes n-th Fibonacci number mod p.", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a Python code snippet that uses the `random` library's `shuffle` function to generate a random permutation of a very long sequence. This code assumes that your sequence is a list of integers.\n\n```python\nimport random\n\ndef generate_random_permutation(sequence):\n random.shuffle(sequence)\n return sequence\n\n# Test with a long sequence\nlong_sequence = list(range(1, 1000001)) # This creates a list of integers from 1 to 1,000,000\nrandom_permutation = generate_random_permutation(long_sequence)\n\nprint(random_permutation)\n```\n\nThis code will shuffle the elements of your sequence in place, meaning that the original sequence will be modified. If you want to keep the original sequence intact and create a new sequence for the permutation, you should make a copy of the original sequence before shuffling it:\n\n```python\ndef generate_random_permutation(sequence):\n sequence_copy = sequence.copy()\n random.shuffle(sequence_copy)\n return sequence_copy\n```\n\nPlease note that generating a random permutation of a very long sequence can be memory-intensive and may take some time to complete, depending on the capabilities of your machine.", "metadata": null} +{"prompt": "Write a python program that implements data storage oriented blockchain that rewards node owners who host data. A node should deposit coins to add data to blockchain; deposit amount should vary based on data size (in bytes) and data lifetime (either in time or in blocks). The deposited amount should be distributed evenly across all nodes hosting that data until it's lifetime is expired. One can increase their data storage deposit to extend storage time. A node should take fees from other nodes for accessing its stored data. A node can \"delete\" their data from blockchain; after that other nodes are not rewarded for storing the data anymore and the original data uploader gets their unused data storage deposit back.", "search_helpful": false, "source": "arena_hard", "label": "RESPONSE: \n\nTo get the bounding box of a deeply nested SVG object using JavaScript, you can use the `getBBox()` method. This method returns an object containing information about the size of the SVG element and its position relative to its parent element.\n\nHere's a simple example:\n\n```javascript\n// Select the SVG object\nvar svgObject = document.querySelector('svg');\n\n// Select the nested object\nvar nestedObject = svgObject.querySelector('#nestedObject');\n\n// Get the bounding box\nvar boundingBox = nestedObject.getBBox();\n\n// boundingBox now contains x, y, width, height, etc.\nconsole.log(boundingBox);\n```\n\nIn this code, replace `'svg'` and `'#nestedObject'` with the appropriate selectors for your SVG and nested object. The `getBBox()` method will return an object with properties like `x`, `y`, `width`, and `height` that describe the size and position of the nested object.", "metadata": null} +{"prompt": "explain the following to me like I'm 5 years old: what is a PayFac model in integrated payments and how does this differ from what a normal merchant acquirer provides?", "search_helpful": false, "source": "arena_hard", "label": "1. Zettelkasten Method\n2. PARA Method\n3. Building a Second Brain (BASB)\n4. GTD (Getting Things Done)\n5. Bullet Journaling\n6. Eisenhower Matrix\n7. Pomodoro Technique\n8. SMART Goals\n9. Kanban System\n10. Scrum Framework\n11. Agile Methodology\n12. Lean Methodology\n13. Six Sigma\n14. PRINCE2\n15. Waterfall Model\n16. Critical Path Method (CPM)\n17. Personal Knowledge Mastery (PKM)\n18. Feynman Technique\n19. Cornell Note-Taking System\n20. Mind Mapping\n\nTop Three:\n\n1. Zettelkasten Method: This is a knowledge management and note-taking method that promotes the connection of ideas and thoughts. It was popularized by the German sociologist Niklas Luhmann. The method involves creating individual notes with ideas and thoughts, and then linking them together in a way that allows for easy navigation and discovery of related notes. This method encourages the development of a deep understanding of topics and the creation of new knowledge.\n\n2. PARA Method: PARA stands for Projects, Areas, Resources, and Archives. It's a system developed by Tiago Forte for organizing digital information. Projects are defined as a series of tasks linked to a goal, with a deadline. Areas are components of life or work requiring continuous maintenance and attention. Resources are topics of ongoing interest. Archives include inactive items from the other three categories. The PARA method is designed to be flexible and adaptable to a variety of tools and workflows.\n\n3. Building a Second Brain (BASB): This is a methodology for saving and systematically reminding us of the ideas, inspirations, insights, and connections we\u2019ve gained through our experience. It expands on the idea of the PARA method, also developed by Tiago Forte, and involves offloading the work of remembering, processing, and synthesizing information from our brains to an external system. This can free up mental space and energy for more creative and productive thinking.", "metadata": null} +{"prompt": "Write a python function to find the nth occurrence of a specific character in a string.", "search_helpful": false, "source": "arena_hard", "label": "Creating a Kotlin JNI code that adds a reverb effect to the microphone input is a complex task. It involves using the Android NDK (Native Development Kit) and the OpenSL ES library for audio processing. Here is a simplified example of how you might start this process:\n\nFirstly, you need to load the native library in your Kotlin class:\n\n```kotlin\nclass MainActivity : AppCompatActivity() {\n\n init {\n System.loadLibrary(\"native-lib\")\n }\n\n // Declare a native method that you will implement in C\n external fun addReverbEffect(input: ShortArray, output: ShortArray, length: Int)\n\n // Other code...\n}\n```\n\nThen, you need to implement the `addReverbEffect` function in C using the OpenSL ES library. This is a simplified example and does not include the actual reverb effect processing:\n\n```c\n#include \n#include \n#include \n\n// Implement the addReverbEffect function\nJNIEXPORT void JNICALL\nJava_com_example_myapp_MainActivity_addReverbEffect(JNIEnv *env, jobject instance,\n jshortArray input_, jshortArray output_, jint length) {\n jshort *input = (*env)->GetShortArrayElements(env, input_, NULL);\n jshort *output = (*env)->GetShortArrayElements(env, output_, NULL);\n\n // TODO: Add reverb effect to the input and store the result in the output\n\n (*env)->ReleaseShortArrayElements(env, input_, input, 0);\n (*env)->ReleaseShortArrayElements(env, output_, output, 0);\n}\n```\n\nThis is a very basic example and does not include the actual reverb effect processing. Implementing a reverb effect is a complex task that involves digital signal processing and is beyond the scope of this example.\n\nAlso, please note that you need to replace `com_example_myapp_MainActivity` with your actual package and class name.", "metadata": null} +{"prompt": "Write a python function to calculate the series of exponential function.", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple 12-bar chord progression in the Lydian mode:\n\n1. Cmaj7 (I)\n2. Dmaj7 (II)\n3. Em7 (iii)\n4. F#m7b5 (iv\u00b0)\n5. Gmaj7 (V)\n6. Am7 (vi)\n7. Bm7 (vii)\n8. Cmaj7 (I)\n9. Dmaj7 (II)\n10. Gmaj7 (V)\n11. Am7 (vi)\n12. Cmaj7 (I)\n\nThis progression uses the chords built on each degree of the C Lydian scale (C, D, E, F#, G, A, B). The Lydian mode is similar to the major scale but with a raised 4th, which gives it a unique, dreamy sound.", "metadata": null} +{"prompt": "Write a simple Flask web server with HTTP basic authentication using python dict for login/password. Also add an index page.", "search_helpful": false, "source": "arena_hard", "label": "To see the logs and details of the running code in real time, you can use Docker's logging capabilities. Docker provides several logging drivers, each of which sends logs to a different place. By default, Docker uses the `json-file` logging driver, which writes logs in JSON format to a file.\n\nHere's how you can view the logs of a running Docker container:\n\n1. First, you need to find the ID or name of your Docker container. You can do this by running the following command:\n\n```bash\ndocker ps\n```\n\nThis will list all running Docker containers along with their IDs and names.\n\n2. Once you have the ID or name of your container, you can view its logs by running the following command:\n\n```bash\ndocker logs \n```\n\nReplace `` with the actual ID or name of your container.\n\nThis command will display the logs of your container in the terminal. If you want to follow the logs in real time, you can add the `-f` or `--follow` option:\n\n```bash\ndocker logs -f \n```\n\nThis will keep the terminal open and display new log entries as they are added.\n\nPlease note that this will only show you the logs that are written to stdout or stderr. If your application writes logs to a file, you will need to access that file inside the Docker container.\n\nTo access a log file inside a Docker container, you can use the `docker exec` command to start a new shell session in the container:\n\n```bash\ndocker exec -it /bin/bash\n```\n\nThen, navigate to the directory where the log file is located and use a command like `cat` or `less` to view its contents.\n\nIf you want to see the R code that is being executed in real time, you might need to modify your R code to print out the code that is being executed. This could be done using functions like `trace` or `debug` in R. However, this could potentially result in a lot of output, so use this approach with caution.", "metadata": null} +{"prompt": "Give me boilerplate python code for flask app with users", "search_helpful": false, "source": "arena_hard", "label": "Addressing climate change is a complex issue that requires a multi-faceted approach. Here's a detailed strategy for the next 20 years:\n\n1. **Year 1-5: Education and Awareness**\n - Develop comprehensive educational programs about climate change for all age groups. This includes the causes, effects, and ways to mitigate it.\n - Launch global awareness campaigns to inform the public about the urgency of the issue and the role each individual can play.\n\n2. **Year 1-10: Policy Changes**\n - Advocate for and implement policies that limit greenhouse gas emissions. This could include carbon pricing, stricter regulations on industrial emissions, and incentives for businesses to reduce their carbon footprint.\n - Encourage governments to invest in renewable energy sources such as wind, solar, and hydroelectric power. This could be achieved through subsidies for renewable energy companies and tax incentives for individuals and businesses that use renewable energy.\n - Implement policies that promote energy efficiency, such as stricter building codes and standards for appliances and vehicles.\n\n3. **Year 5-15: Technological Innovation**\n - Invest in research and development of new technologies that can help mitigate climate change. This could include carbon capture and storage, more efficient renewable energy technologies, and methods to remove carbon dioxide from the atmosphere.\n - Promote the adoption of these technologies through subsidies and tax incentives.\n\n4. **Year 10-20: Reforestation and Conservation**\n - Implement large-scale reforestation projects to absorb CO2 from the atmosphere. This could be achieved through government programs and partnerships with private companies.\n - Protect existing forests and other natural habitats that serve as carbon sinks. This could be achieved through stricter conservation laws and international agreements.\n\n5. **Year 15-20: Adaptation**\n - Invest in infrastructure to protect against the effects of climate change, such as sea-level rise and increased frequency of extreme weather events. This could include sea walls, flood defenses, and more resilient agricultural systems.\n - Develop and implement plans to help communities that are most vulnerable to the effects of climate change, such as those in low-lying coastal areas.\n\n6. **Year 1-20: International Cooperation**\n - Work with other countries to coordinate efforts to mitigate climate change. This could include international agreements to reduce greenhouse gas emissions, share technology, and provide financial assistance to developing countries that are most affected by climate change.\n\nThis strategy is ambitious and would require significant resources and political will. However, it is necessary to prevent the most catastrophic effects of climate change.", "metadata": null} +{"prompt": "WRITE AN AUTOLISP ROUTING FOR AUTOCAD TO DELETE THE ACAD_DGNLINESTYLECOMP DICTIONARY ENTITY", "search_helpful": false, "source": "arena_hard", "label": "Sure, as an LS-DYNA expert, I can guide you on how to perform earthquake analysis using this software. LS-DYNA is a powerful tool that can simulate the effects of earthquakes on structures. Here's a general step-by-step guide:\n\n1. **Modeling the Structure**: The first step is to model the structure you want to analyze. This can be done using the pre-processing tools in LS-DYNA. You need to define the geometry, material properties, and boundary conditions of the structure.\n\n2. **Defining the Earthquake**: The next step is to define the earthquake. This is typically done by inputting a time-history of ground acceleration, which can be obtained from recorded data of real earthquakes or generated synthetically. This data is used to create a 'seismic load' that is applied to the base of the structure.\n\n3. **Setting Up the Analysis**: You need to set up the analysis parameters. This includes defining the type of analysis (dynamic analysis in this case), the time step for the analysis, and the total duration of the analysis. \n\n4. **Running the Analysis**: Once everything is set up, you can run the analysis. LS-DYNA will simulate the response of the structure to the seismic load, calculating the stresses and strains in the structure at each time step.\n\n5. **Post-Processing**: After the analysis is complete, you can use the post-processing tools in LS-DYNA to visualize and interpret the results. This can include plotting the displacement, velocity, or acceleration of different parts of the structure over time, or visualizing the distribution of stress or strain in the structure at a particular time.\n\n6. **Interpreting the Results**: The final step is to interpret the results of the analysis. This can involve comparing the maximum stresses or displacements in the structure to allowable values to check if the structure can withstand the earthquake, or identifying parts of the structure that are particularly vulnerable to damage.\n\nRemember, the accuracy of your results will depend on the accuracy of your model and the quality of your input data. It's also important to validate your model by comparing its predictions with experimental data or with the results of other reliable models.", "metadata": null} +{"prompt": "How can I restrict a Postgres geometry column to only contain polygons?", "search_helpful": false, "source": "arena_hard", "label": "Sure, I'd be happy to help you with that. \n\nTop 3 WordPress Themes for an Online Social Marketplace:\n\n1. Marketo: This is a clean E-commerce Multipurpose Multi-vendor WordPress theme with the vertical menu, perfect for your E-commerce Business. It contains 11+ Homepage Design with full and easily customizable, and well organized Ediatiabe.\n\n2. Martfury: Martfury is a modern and flexible WooCommerce Marketplace WordPress theme. This theme is suited for multi-vendor marketplace, electronics store, furniture store, clothing store, hi-tech store and accessories store.\n\n3. Dokan: It's a responsive marketplace theme powered by WooCommerce. It's a highly customizable theme and can be used for various types of businesses.\n\nEssential Plugins for an Online Social Marketplace:\n\n1. WooCommerce: This is the most popular eCommerce platform on the web for building your online business.\n\n2. Dokan Multivendor: This plugin allows you to build a multi-vendor marketplace like Amazon or eBay.\n\n3. Yoast SEO: This plugin helps you with your website optimization, with features for SEO and readability, sitemaps, and more.\n\n4. WPML: To make your website multilingual and reach a wider audience.\n\n5. BuddyPress: This plugin allows you to build any kind of community website using WordPress, with member profiles, activity streams, user groups, messaging, and more.\n\nMarket Entry Strategies for Iran Domestic Market:\n\n1. Direct Export: This is the most common mode of entering an foreign market. You can directly export your products to Iran and sell them through a distributor.\n\n2. Joint Venture: You can enter the Iranian market by forming a joint venture with a local company. This will give you access to local resources and market knowledge.\n\n3. Licensing or Franchising: This is another way to enter the Iranian market. You can license or franchise your business to a local company.\n\n4. Online Marketing: Use social media platforms and online advertising to reach your target audience in Iran. This can be a cost-effective way to enter the market.\n\n5. Cultural Adaptation: Understanding the local culture and adapting your products and marketing strategy accordingly can be a key to success in the Iranian market.\n\nRemember, it's important to do thorough market research and possibly consult with a market entry specialist or legal advisor before entering a new market.", "metadata": null} +{"prompt": "I'm trying to run a pytorch program on a computer with multiple GPUs. My program is only using one! What can I change in the code to get it to use all the gpus available?", "search_helpful": false, "source": "arena_hard", "label": "Running an AI chatbot model on a low resource system can be challenging due to the computational requirements of most AI models. However, you can use lightweight models like ChatterBot which is a Python library designed to automate the task of creating conversational interfaces.\n\nHere's a simple example of how to use ChatterBot:\n\n```python\nfrom chatterbot import ChatBot\nfrom chatterbot.trainers import ChatterBotCorpusTrainer\n\n# Create a new instance of a ChatBot\nbot = ChatBot('Example Bot')\n\n# Train the chatbot based on the english corpus\nbot.set_trainer(ChatterBotCorpusTrainer)\nbot.train(\"chatterbot.corpus.english\")\n\n# Get a response for some input statement\nresponse = bot.get_response(\"Hello, how are you?\")\nprint(response)\n```\n\nThis code will create a simple chatbot trained on the English corpus provided by ChatterBot. You can interact with the bot using the `get_response` method.\n\nRemember, even though ChatterBot is a lightweight model, running any AI model on a very low resource system will be slower and less efficient than on a system with more resources. If you're planning to use more complex models or larger datasets, you might need to consider upgrading your system or using cloud-based solutions.", "metadata": null} +{"prompt": "I have a system76 Thelio linux computer. I would like to install a Nvidia GTX 3060 GPU. I have a 450W PSU. First, is the psu sufficient to power the gpu? Second, how do I install the gpu?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple example of a Metal compute kernel that applies a Gaussian blur to an image. This kernel assumes that you have a 5x5 Gaussian blur filter and that you've already loaded your image into a texture.\n\n```metal\nkernel void gaussian_blur(texture2d input [[texture(0)]],\n texture2d output [[texture(1)]],\n uint2 gid [[thread_position_in_grid]]) {\n int2 size = int2(input.get_width(), input.get_height());\n \n if (gid.x >= size.x || gid.y >= size.y) {\n return;\n }\n \n float4 color = float4(0.0);\n float weightSum = 0.0;\n \n // 5x5 Gaussian blur filter\n float filter[5][5] = {\n {1.0/256.0, 4.0/256.0, 6.0/256.0, 4.0/256.0, 1.0/256.0},\n {4.0/256.0, 16.0/256.0, 24.0/256.0, 16.0/256.0, 4.0/256.0},\n {6.0/256.0, 24.0/256.0, 36.0/256.0, 24.0/256.0, 6.0/256.0},\n {4.0/256.0, 16.0/256.0, 24.0/256.0, 16.0/256.0, 4.0/256.0},\n {1.0/256.0, 4.0/256.0, 6.0/256.0, 4.0/256.0, 1.0/256.0}\n };\n \n for (int j = -2; j <= 2; ++j) {\n for (int i = -2; i <= 2; ++i) {\n int2 pos = int2(gid) + int2(i, j);\n \n // Clamp to edge\n pos = clamp(pos, int2(0), size - 1);\n \n float4 sample = input.read(uint2(pos));\n float weight = filter[j + 2][i + 2];\n \n color += sample * weight;\n weightSum += weight;\n }\n }\n \n color /= weightSum;\n \n output.write(color, gid);\n}\n```\n\nThis kernel reads from an input texture, applies the Gaussian blur filter to each pixel, and writes the result to an output texture. The Gaussian blur filter is a 5x5 matrix with values that approximate the Gaussian function. The kernel applies this filter by taking a weighted average of each pixel and its neighbors. The weights are determined by the filter. The result is a blurred image.\n\nPlease note that this is a simple example and may not be optimal for all use cases. For example, it does not handle color space conversions, and it assumes that the input and output textures are the same size. You may need to adjust this code to fit your specific needs.", "metadata": null} +{"prompt": "write the gdscript code for a voxxel terrain engiune like minecraft in godot engine", "search_helpful": false, "source": "arena_hard", "label": "Creating a chess program from scratch can be quite complex, but luckily there are libraries in Python that can help us with this task. One of them is python-chess.\n\nHere is a simple example of a chess program where you can play against yourself:\n\nFirst, you need to install the python-chess library. You can do this with pip:\n\n```bash\npip install python-chess\n```\n\nThen, you can use the following code:\n\n```python\nimport chess\n\ndef print_board(board):\n print(board)\n\ndef get_move():\n uci_move = input(\"Enter your move: \")\n return uci_move\n\ndef main():\n board = chess.Board()\n\n while not board.is_checkmate() and not board.is_stalemate():\n print_board(board)\n uci_move = get_move()\n if chess.Move.from_uci(uci_move) in board.legal_moves:\n board.push_uci(uci_move)\n else:\n print(\"Illegal move. Try again.\")\n\n print_board(board)\n if board.is_checkmate():\n print(\"Checkmate!\")\n elif board.is_stalemate():\n print(\"Stalemate!\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nThis program will print the current state of the board after each move, and ask for the next move in UCI format (e.g., \"e2e4\"). It will check if the move is legal, and if it is, it will make the move. If the move is not legal, it will ask for a new move. The game ends when there is a checkmate or a stalemate.\n\nPlease note that this is a very basic program and does not include any kind of AI opponent or advanced features. It's just a simple way to play chess against yourself in the console.", "metadata": null} +{"prompt": "what are some good popular engines to develop web build games? list pros and cons of each, bonus points if it is unlikely to be outdated soon", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple proof:\n\nWe know that the square root of 2 is an irrational number. This can be proven by contradiction. Assume that \u221a2 is a rational number, which means it can be expressed as a ratio of two integers. However, through a series of algebraic manipulations, you'll find that this leads to a contradiction, proving that \u221a2 is indeed irrational.\n\nNow, consider the number \u221a2 + n, where n is any integer. This number is also irrational. This is because if you assume it's rational and subtract n (which is rational), you'd be left with \u221a2, which we know is irrational. This contradicts the assumption that \u221a2 + n is rational.\n\nSince there are infinitely many integers (both positive and negative), there are infinitely many numbers of the form \u221a2 + n. Therefore, there are infinitely many irrational numbers.", "metadata": null} +{"prompt": "Write edge test cases for the following condition: FICO > 750 && FICO <= 900 AND N_INQ < 2", "search_helpful": false, "source": "arena_hard", "label": "In Python, you can create a tuple using a generator expression, which is very similar to list comprehension but with parentheses `()` instead of square brackets `[]`. However, this will actually create a generator object, not a tuple. To get a tuple, you can pass this generator object to the `tuple()` function.\n\nHere is an example:\n\n```python\n# Create a generator object\ngen = (i for i in range(5))\n\n# Convert the generator object to a tuple\ntup = tuple(gen)\n\nprint(tup) # Output: (0, 1, 2, 3, 4)\n```\n\nIn this example, `i for i in range(5)` is a generator expression that generates numbers from 0 to 4. The `tuple()` function takes this generator and creates a tuple from it.\n\nYou can also do this in a single line:\n\n```python\ntup = tuple(i for i in range(5))\nprint(tup) # Output: (0, 1, 2, 3, 4)\n```\n\nThis will give you the same result.", "metadata": null} +{"prompt": "Prepare a business proposal for a dynamic GenAI chatot instead of old hardcoded static chatots for a corporate clients", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple implementation of Connect 4 in Python. This version is a console-based game for two players.\n\n```python\ndef create_board():\n board = []\n for _ in range(6):\n board.append([' ']*7)\n return board\n\ndef print_board(board):\n for row in board:\n print('|' + '|'.join(row) + '|')\n print('+-'*7+'+')\n\ndef is_valid(board, column):\n return board[0][column] == ' '\n\ndef is_winner(board, player):\n for row in range(6):\n for col in range(7):\n try:\n if (board[row][col] == player and\n board[row+1][col+1] == player and\n board[row+2][col+2] == player and\n board[row+3][col+3] == player):\n return True\n except IndexError:\n pass\n\n try:\n if (board[row][col] == player and\n board[row+1][col] == player and\n board[row+2][col] == player and\n board[row+3][col] == player):\n return True\n except IndexError:\n pass\n\n return False\n\ndef play_game():\n board = create_board()\n current_player = 'X'\n\n while True:\n print_board(board)\n col = int(input(f\"Player {current_player}, choose a column: \"))\n if not is_valid(board, col):\n print(\"Invalid move, try again.\")\n continue\n for row in reversed(range(6)):\n if board[row][col] == ' ':\n board[row][col] = current_player\n break\n if is_winner(board, current_player):\n print(f\"Player {current_player} wins!\")\n break\n current_player = 'O' if current_player == 'X' else 'X'\n\nplay_game()\n```\n\nThis program first creates a 6x7 board, then alternates between players X and O, asking them to choose a column to drop their piece. It checks for a win condition after each move. The win condition checks are a bit naive and could be improved, but they work for this simple version of the game.", "metadata": null} +{"prompt": "write 5 business ideas that use generative AI applied for small businesses ", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple JavaScript function that extracts all the text from a HTML document using the `innerText` property:\n\n```javascript\nfunction extractTextFromDocument() {\n return document.body.innerText;\n}\n```\n\nThis function will return all the text that is currently visible on the page. Please note that it will not return the text that is hidden or the text from the `title` or `meta` tags.\n\nIf you want to extract all the text including hidden text, you can use the `textContent` property:\n\n```javascript\nfunction extractAllTextFromDocument() {\n return document.body.textContent;\n}\n```\n\nThese functions will work in most modern browsers. However, please note that they will not work in Node.js or other non-browser environments because they rely on the `document` object, which is part of the Web API provided by browsers.", "metadata": null} +{"prompt": "You are a content writer for a company offering customized LLM and generative AI deployment in a business setting. I will provide you with a topic for the article. Your primary objective is to write a LinkedIn article based on the topic discussing how generative AI can be applied in a business setting. Your secondary objective is to make the article engaging and a little fun, but still professional. Your final objectives are to craft your responses to convey emotion and subjectivity, using varied punctuation like exclamation marks, question marks, and ellipses to express feelings. Ensure your content flows coherently without over-repeating terms. Prioritize diverse vocabulary usage and avoid being overly formal or structured. Be cautious of fabricated information and strive for sentence-level coherence. Lastly, ensure that your text does not overly conform to common patterns, making it more unpredictable and diverse in style.\nThe topic: Using generative AI to write marketing emails and generate artwork for those emails automatically", "search_helpful": false, "source": "arena_hard", "label": "You can merge the operations into a single pass call using the pipe operator `%>%` in R. Here's how you can do it:\n\n```r\nrk <- rk %>% \n filter(Peptide %in% pp) %>% \n collect() %>%\n separate(col=\"FragType\", into=c(\"Product\",\"FragZ\"), remove=FALSE) %>%\n replace_na(list(Product = 0, FragZ = 0))\n```\n\nIn this code, `replace_na()` function from `tidyverse` package is used to replace `NA` values with `0`. It's a more readable and efficient way to handle `NA` values in a data frame. Please make sure to replace \"Product\" and \"FragZ\" with your actual column names if they are different.", "metadata": null} +{"prompt": "What's the best way to implement Targeted Fast Gradient Sign Method in python?", "search_helpful": false, "source": "arena_hard", "label": "Tailscale is a great tool for creating a secure network between your devices over the internet. Here's a step-by-step guide on how to use Tailscale to securely expose a Jellyfin server to the public internet:\n\n1. **Install Tailscale on your server and devices**: You can download Tailscale from their official website or install it using the package manager of your operating system. For example, on Ubuntu, you can use the command `sudo apt install tailscale`.\n\n2. **Authenticate Tailscale**: After installing Tailscale, you need to authenticate it. Run `tailscale up` on your server and follow the instructions to log in with your Google, Microsoft, or other supported account.\n\n3. **Install Jellyfin**: If you haven't already, install Jellyfin on your server. You can download it from the official Jellyfin website or install it using the package manager of your operating system.\n\n4. **Configure Jellyfin**: After installing Jellyfin, you need to configure it. Open the Jellyfin web interface on your server and go through the initial setup process. Make sure to set a strong password for your Jellyfin account.\n\n5. **Connect to Jellyfin via Tailscale**: Now you can connect to your Jellyfin server from any device that has Tailscale installed and authenticated with the same account. The address of your Jellyfin server will be something like `http://[tailscale IP]:8096`, where `[tailscale IP]` is the Tailscale IP address of your server.\n\n6. **Secure your connection**: To secure your connection, you can enable HTTPS in Jellyfin. You will need a valid SSL certificate for this. You can get a free SSL certificate from Let's Encrypt. After getting the certificate, you can enable HTTPS in the Jellyfin web interface by going to Dashboard > Networking > Enable HTTPS.\n\nRemember, Tailscale is a Zero Trust Network, which means that even though your devices are connected, they won't trust each other by default. You need to explicitly allow traffic between your devices in the Tailscale admin console.\n\nAlso, keep in mind that while Tailscale and HTTPS can secure your connection, they can't protect your server from vulnerabilities in Jellyfin or other software. Always keep your server and software up to date to minimize security risks.", "metadata": null} +{"prompt": "Explain in detail the concept of deep double descent in the context of training machine learning models. Describe how it is related to gradient descent and early stopping.", "search_helpful": false, "source": "arena_hard", "label": "Shaping a high hydration whole wheat baguette can be a bit challenging due to the dough's sticky nature. Here's a reliable method:\n\n1. **Preparation**: Make sure your work surface is clean and lightly floured. Also, have a bench scraper handy.\n\n2. **Divide the Dough**: After your dough has gone through its bulk fermentation, gently turn it out onto your work surface. Divide it into the number of baguettes you want to make.\n\n3. **Pre-shape**: Gently shape each piece into a rough rectangle. Fold the rectangle like a letter: bring the top third down and the bottom third up. Turn the dough 90 degrees and repeat the folding. This helps to build tension in the dough. Let the dough rest for 15-20 minutes.\n\n4. **Final Shape**: After the rest, take one piece of dough and place it in front of you with the seam side up. Gently degas the dough with your fingers, then fold the top third of the dough down, and seal the edge with your fingers. Rotate the dough 180 degrees and repeat. Now, with the seam side down, gently roll the dough back and forth to extend it into a baguette shape. Apply more pressure at the ends to taper them.\n\n5. **Proofing**: Place the shaped baguettes seam-side up in a floured couche or tea towel, creating folds to support each baguette. Cover and let them proof until they're puffy and nearly doubled in size.\n\n6. **Scoring and Baking**: Transfer the baguettes to a baking stone or a baking sheet, seam-side down. Score the tops with a lame or a sharp knife, making long, swift cuts along the length of the baguette. Bake in a preheated oven (usually around 475\u00b0F/245\u00b0C) with steam (you can create steam by placing a pan of hot water in the bottom of the oven or spraying water inside the oven at the beginning of baking).\n\nRemember, practice makes perfect. The more you work with high hydration dough, the more comfortable you'll become.", "metadata": null} +{"prompt": "import torch\nimport gradio as gr\nfrom transformers import RobertaConfig, RobertaModel, AutoModelForSeq2SeqLM, AutoTokenizer\n\n# Create a configuration object\nconfig = RobertaConfig.from_pretrained('roberta-base')\n\n# Create the Roberta model\nmodel = RobertaModel.from_pretrained('roberta-base', config=config)\n\n# Load pretrained model and tokenizer\nmodel_name = \"zonghaoyang/DistilRoBERTa-base\"\nmodel = AutoModelForSeq2SeqLM.from_pretrained(model_name)\ntokenizer = AutoTokenizer.from_pretrained(model_name)\n\n# Define function to analyze input code\ndef analyze_code(input_code): \n\t# Format code into strings and sentences for NLP \n\tcode_str = \" \".join(input_code.split()) \n\tsentences = [s.strip() for s in code_str.split(\".\") if s.strip()] \n\t#Extract relevant info and intent from code \n\tvariables = [] \n\tfunctions = [] \n\tlogic = [] \n\tfor sentence in sentences: \n\t\tif \"=\" in sentence: \n\t\t\tvariables.append(sentence.split(\"=\")[0].strip()) \n\t\telif \"(\" in sentence: \n\t\t\tfunctions.append(sentence.split(\"(\")[0].strip()) \n\t\telse: \n\t\t\tlogic.append(sentence) \n\t#Return info and intent in dictionary \n\treturn {\"variables\": variables, \"functions\": functions, \"logic\": logic}\n\n# Define function to generate prompt from analyzed code \ndef generate_prompt(code_analysis): \n\tprompt = f\"Generate code with the following: \\n\\n\" \n\tprompt += f\"Variables: {', '.join(code_analysis['variables'])} \\n\\n\" \n\tprompt += f\"Functions: {', '.join(code_analysis['functions'])} \\n\\n\" \n\tprompt += f\"Logic: {' '.join(code_analysis['logic'])}\" \n\treturn prompt\n\t \n# Generate code from model and prompt \ndef generate_code(prompt):\n\tgenerated_code = model.generate(prompt, max_length=100, num_beams=5, early_stopping=True) \n\treturn generated_code \n\n# Suggest improvements to code\ndef suggest_improvements(code):\n\tsuggestions = [\"Use more descriptive variable names\", \"Add comments to explain complex logic\", \"Refactor duplicated code into functions\"]\n\treturn suggestions\n\n# Define Gradio interface\ninterface = gr.Interface(fn=generate_code, inputs=[\"textbox\"], outputs=[\"textbox\"])\n\n# Have a conversation about the code\ninput_code = \"\"\"x = 10\ny = 5\ndef add(a, b):\n return a + b\nresult = add(x, y)\"\"\"\ncode_analysis = analyze_code(input_code)\nprompt = generate_prompt(code_analysis)\nreply = f\"{prompt}\\n\\n{generate_code(prompt)}\\n\\nSuggested improvements: {', '.join(suggest_improvements(input_code))}\"\nprint(reply)\n\nwhile True:\n change = input(\"Would you like t", "search_helpful": false, "source": "arena_hard", "label": "Sure, I can help you with that. Here's a basic implementation of the Action class:\n\n```python\nclass Action:\n def __init__(self, action_data):\n self.type = action_data[\"type\"]\n self.value = action_data[\"value\"]\n\n def execute(self, actor, target):\n if self.type == \"damage\":\n target.hp -= self.value\n elif self.type == \"heal\":\n actor.hp += self.value\n elif self.type == \"heal_target\":\n target.hp += self.value\n elif self.type == \"damage_based_on_target_hp\":\n target.hp -= target.hp * self.value\n elif self.type == \"damage_based_on_actor_hp\":\n target.hp -= actor.hp * self.value\n actor.hp -= actor.hp * self.value\n elif self.type == \"life_leech\":\n damage = self.value\n target.hp -= damage\n actor.hp += damage * 0.3 # heal actor for 30% of the damage dealt\n```\n\nThis class takes a dictionary `action_data` as input, which should contain the type of the action and the value associated with it. The `execute` method then performs the action on the actor and the target.\n\nHere's an example of how you could use this class:\n\n```python\nchar_data = {\"name\": \"John\", \"hp\": 100, \"damage\": 10}\njohn = Character(char_data)\n\nchar_data = {\"name\": \"Bob\", \"hp\": 100, \"damage\": 10}\nbob = Character(char_data)\n\naction_data = {\"type\": \"damage\", \"value\": 20}\naction = Action(action_data)\naction.execute(john, bob)\n\nprint(bob.hp) # prints 80\n```\n\nThis is a very basic implementation and there's a lot of room for improvement. For example, you could add error checking to make sure the action type is valid, or you could add more complex actions. But this should give you a good starting point.", "metadata": null} +{"prompt": "Visualize pandas dataframe in gradio", "search_helpful": false, "source": "arena_hard", "label": "GDDR6 (Graphics Double Data Rate 6) and GDDR7 (Graphics Double Data Rate 7) are types of synchronous graphics random-access memory (SGRAM) with a high bandwidth (\"double data rate\") interface designed for use in high-performance graphics cards.\n\nAs of now, GDDR7 is not yet released or officially announced, so there are no technical details available for GDDR7. Therefore, I can only provide information on GDDR6.\n\nGDDR6:\n\n1. Speed: Up to 16 Gbps (Gigabits per second) per pin.\n2. Voltage: 1.35V.\n3. Prefetch: 16n.\n4. Interface: 64-bit (per channel).\n5. Die Size: 180mm2.\n6. Process: 10nm.\n7. Memory Bandwidth: Up to 768 GB/s (Gigabytes per second).\n\nMemory Bandwidth Calculation for GDDR6 at 2500MHz:\n\nThe memory bandwidth can be calculated using the formula: Memory Clock x Bus Width x 2.\n\nAssuming a bus width of 384-bit (typical for high-end graphics cards), the calculation would be:\n\n2500 MHz x 384 bit x 2 = 1920000 Mbps or 1920 GB/s.\n\nPlease note that the actual memory bandwidth might be lower due to various factors such as memory efficiency and memory clock limitations.", "metadata": null} +{"prompt": "Make a SWOT analysis for the company Artistree for Europe", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple example of a Python bot using the Matrix Python SDK that responds to mentions. This bot will respond with a simple message whenever it is mentioned in a room.\n\n```python\nfrom matrix_client.client import MatrixClient\nfrom matrix_client.api import MatrixRequestError\nfrom requests.exceptions import MissingSchema\n\ndef on_message(room, event):\n if event['type'] == \"m.room.message\":\n if event['content']['msgtype'] == \"m.text\":\n if 'bot' in event['content']['body']:\n room.send_text(\"Hello, I'm your bot!\")\n\ndef main(server, username, password):\n client = MatrixClient(server)\n\n try:\n client.login_with_password(username, password)\n except MatrixRequestError as e:\n print(e)\n if e.code == 403:\n print(\"Bad username or password.\")\n return\n else:\n print(\"Check your sever details are correct.\")\n return\n except MissingSchema as e:\n print(\"Bad URL format.\")\n print(e)\n return\n\n rooms = client.get_rooms()\n\n for room_id, room in rooms.items():\n room.add_listener(on_message)\n print(\"Joined room: \" + room_id)\n\n client.start_listener_thread()\n\nif __name__ == \"__main__\":\n server = \"https://matrix.org\" # Matrix server URL\n username = \"your-username\" # Bot's username\n password = \"your-password\" # Bot's password\n main(server, username, password)\n```\n\nThis script will join all rooms that the bot is a member of and listen for new messages. If a message contains the word 'bot', it will respond with \"Hello, I'm your bot!\".\n\nPlease replace `\"https://matrix.org\"`, `\"your-username\"`, and `\"your-password\"` with your actual Matrix server URL, bot's username, and password.\n\nPlease note that this is a very basic bot and doesn't handle errors or edge cases. You might want to expand this script to make it more robust and suitable for your needs.", "metadata": null} +{"prompt": "Can you explain to me how to forecast revenue for an online business vs. a brick and mortar retailer? What are the key differences?", "search_helpful": false, "source": "arena_hard", "label": "The GST/HST portion of your expense is the amount that is specifically labeled as \"Total V.A.T/G.S.T/H.S.T.\" on your invoice. In this case, that would be $15. \n\nThe \"Other Taxes\" category likely includes various other fees and taxes that are not related to GST/HST. These could include airport improvement fees, security charges, fuel surcharges, and other similar costs. \n\nWhen reporting your expenses to your employer, you should specify the $15 as the GST/HST portion of your expense. The remaining $132.12 should be reported as other taxes or fees. \n\nThe GST/HST is a value-added tax that is charged on most goods and services sold or provided in Canada. The rate varies from province to province. In your case, since your flight originated from Toronto and went through Montreal, the GST/HST rate would be based on the rates in those provinces. \n\nThe calculation of the GST/HST and other taxes can be complex and is usually done by the airline or travel agency. If you have any doubts or need further clarification, you should contact the airline or travel agency that issued the invoice.", "metadata": null} +{"prompt": "generate sv constraints so that number of transitions from the previous output should be equal to 5 in a 32 bit number", "search_helpful": false, "source": "arena_hard", "label": "

Experience the Ease of Home Improvement with Hyre A Pro

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Home improvement projects can be daunting, especially when it comes to finding the right contractor for the job. That's where Hyre A Pro comes in. We are a platform designed to simplify the process by connecting homeowners with vetted, verified local contractors. Let's delve into the benefits of using Hyre A Pro for your next home improvement project.

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Why Choose Hyre A Pro?

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Hyre A Pro is not just another home improvement platform. We are a community of professionals committed to delivering quality work and exceptional customer service. Here are some reasons why you should choose Hyre A Pro for your next project:

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Vetted and Verified Contractors

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At Hyre A Pro, we understand the importance of trust when it comes to home improvement. That's why we ensure all our contractors are vetted and verified. We conduct thorough background checks and verify their professional qualifications to ensure you get the best service possible.

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Local Contractors

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Supporting local businesses is a core value at Hyre A Pro. We connect you with local contractors who understand your community's specific needs and regulations. This not only boosts your local economy but also ensures your project complies with local building codes.

\n\n

Benefits of Using Hyre A Pro

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Hyre A Pro offers numerous benefits to homeowners looking to improve their homes. Here are just a few:

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Convenience

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With Hyre A Pro, you no longer need to spend hours searching for a reliable contractor. Our platform allows you to find, compare, and hire local contractors all in one place, saving you time and effort.

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Quality Assurance

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Our vetting process ensures that all contractors on our platform are qualified and reliable. This means you can rest assured that your home improvement project will be completed to the highest standards.

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Competitive Pricing

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Hyre A Pro allows you to compare quotes from different contractors, ensuring you get the best price for your project without compromising on quality.

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Conclusion

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Hyre A Pro is more than just a platform; it's a solution to the challenges homeowners face when undertaking home improvement projects. With our vetted and verified local contractors, quality assurance, and competitive pricing, we make home improvement easy and stress-free. Try Hyre A Pro today and experience the difference.

", "metadata": null} +{"prompt": "Write me a testbench for a multiplier in cocotb", "search_helpful": false, "source": "arena_hard", "label": "Ethan is a seasoned professional in the field of software development, with a wealth of experience spanning over a decade. He has a deep understanding of various software development methodologies, including both traditional Waterfall and Agile development. His expertise lies in his ability to adapt and apply these methodologies to different projects, depending on their unique requirements and constraints.\n\nEthan's experience with the Waterfall model is extensive. This traditional method is a linear approach to software development where stages such as conception, initiation, analysis, design, construction, testing, implementation, and maintenance follow each other in a sequential order. Ethan appreciates the clarity and structure that Waterfall provides, especially for projects with well-defined requirements and a clear end goal. However, he also acknowledges its limitations, such as its inflexibility to change and the long wait times before a working version of the software is available.\n\nOn the other hand, Ethan's proficiency with Agile development is equally impressive. Agile is an iterative approach to software development that emphasizes flexibility, customer satisfaction, and team collaboration. It allows for changes and adjustments throughout the development process. Ethan values Agile for its adaptability and its focus on delivering functional software in short, manageable iterations. However, he also notes that Agile can be challenging in larger, more complex projects and can lead to scope creep if not properly managed.\n\nIn Ethan's opinion, the most notable advantages of the Waterfall methodology are its simplicity, clear structure, and well-defined stages, making it easy to understand and manage. However, its major disadvantage is its lack of flexibility, as it does not handle changes well once the project is underway.\n\nAs for Agile, Ethan believes its greatest strengths lie in its flexibility and adaptability, allowing for changes at any stage of the project. It also promotes customer satisfaction by delivering working software early and frequently. However, its disadvantages include potential scope creep and the need for a highly disciplined and collaborative team to ensure its successful implementation.", "metadata": null} +{"prompt": "Write an OCaml example calling an opengl compute shader doing a dot product. Include the shader in the example", "search_helpful": false, "source": "arena_hard", "label": "Model parallelism is a technique used to distribute the computation of a model across multiple devices. This is particularly useful when the model is too large to fit into a single device's memory. In JAX, you can implement model parallelism using sharding specs.\n\nHere's a step-by-step guide on how to implement model parallelism with sharding specs in JAX:\n\n1. **Import necessary libraries**: You need to import JAX and other necessary libraries.\n\n```python\nimport jax\nimport jax.numpy as jnp\nfrom jax import pmap\nfrom flax import linen as nn\n```\n\n2. **Define your model**: You need to define your model using Flax's Linen API. \n\n```python\nclass MyModel(nn.Module):\n def setup(self):\n self.layer1 = nn.Dense(1024)\n self.layer2 = nn.Dense(1024)\n\n def __call__(self, x):\n x = self.layer1(x)\n return self.layer2(x)\n```\n\n3. **Define sharding specs**: Sharding specs define how the model's parameters should be split across devices. \n\n```python\nfrom jax.experimental.maps import ShardedDeviceArray\nfrom jax.experimental.pjit import PartitionSpec as P\n\n# Define sharding specs for each layer\nlayer1_sharding = P('devices', 'batch')\nlayer2_sharding = P('devices', 'batch')\n\n# Define sharding specs for the whole model\nmodel_sharding = {'layer1': layer1_sharding, 'layer2': layer2_sharding}\n```\n\n4. **Initialize parameters**: You need to initialize the parameters of your model. \n\n```python\nparams = MyModel().init(jax.random.PRNGKey(0), jnp.ones((1, 1024)))\n```\n\n5. **Shard parameters**: You need to shard the parameters according to the sharding specs. \n\n```python\nsharded_params = jax.tree_map(ShardedDeviceArray, params)\n```\n\n6. **Define a pmap function**: You need to define a pmap function that applies the model to the input data. \n\n```python\n@pmap\ndef apply_fn(params, x):\n return MyModel().apply(params, x)\n```\n\n7. **Apply the model**: Finally, you can apply the model to the input data. \n\n```python\noutput = apply_fn(sharded_params, jnp.ones((jax.local_device_count(), 1024)))\n```\n\nThis is a basic example of how to implement model parallelism with sharding specs in JAX. Depending on your specific use case, you might need to adjust the sharding specs and the model definition.", "metadata": null} +{"prompt": "Please write GLSL code (both vertex shader and fragment shader) for old-school raycasting.", "search_helpful": false, "source": "arena_hard", "label": "The error message you're seeing is because your `composer.json` file is requiring a version of `symfony/security` that is not compatible with Symfony 5. \n\nHere's how you can fix this:\n\n1. Open your `composer.json` file.\n\n2. Look for the line that specifies the version of `symfony/security`. It should look something like this:\n\n```json\n\"require\": {\n \"symfony/security\": \"5.0.*\"\n}\n```\n\n3. Change the version constraint to `\"^5.0\"` to allow any version of `symfony/security` that is compatible with Symfony 5. Like this:\n\n```json\n\"require\": {\n \"symfony/security\": \"^5.0\"\n}\n```\n\n4. Save the `composer.json` file.\n\n5. Run `composer update` in your terminal to update your project dependencies.\n\nIf you still encounter issues, it might be due to other dependencies in your project that are not compatible with Symfony 5. In that case, you might need to update those dependencies as well. \n\nRemember to always backup your project before making these changes, as updating dependencies can sometimes cause issues with your existing code.", "metadata": null} +{"prompt": "I would like to have a low carb breakfast. please offer me such breakfast and tell me what is its total carbs count", "search_helpful": false, "source": "arena_hard", "label": "The error message is indicating that the Android NDK build system cannot find the file `Android.mk` at the specified location. Here are a few things you can check:\n\n1. **File Existence**: Make sure that the `Android.mk` file actually exists at the specified location (`E:\\Dhruvin kheni\\Backup\\Backup\\Pancard_pe_loan\\Pancard_pe_loan\\app\\src\\main\\jni\\Android.mk`).\n\n2. **File Path**: Ensure that the path to the `Android.mk` file is correct. Check for any typos or incorrect directory names.\n\n3. **File Permissions**: Check if the file permissions allow the NDK build system to access the `Android.mk` file. The user running the build process should have read access to the file.\n\n4. **NDK Version**: Make sure you are using a compatible version of the NDK. You might want to try updating to the latest version.\n\n5. **Environment Variables**: Check if the environment variables are set correctly. The `NDK_PROJECT_PATH` should be set to the root directory of your project, not `null`.\n\nIf all these are correct and you're still facing the issue, it might be a more complex problem related to your specific project configuration. In that case, you might want to seek help from a forum or community specific to Android NDK development.", "metadata": null} +{"prompt": "Provide me with a breakfast recipe that is quick to make and is high in protien (at least 30 grams) and has a variety of ingredients", "search_helpful": false, "source": "arena_hard", "label": "Creating an entity in SAP Cloud Application Programming Model involves several steps. Here's a basic guide:\n\n1. **Set Up Your Development Environment**: Before you start, make sure you have the necessary tools installed. You'll need Node.js, Java Development Kit (JDK), and SAP Cloud Application Programming Model (CAP) installed on your system.\n\n2. **Create a New Project**: Open your terminal or command prompt and navigate to the directory where you want to create your new project. Use the command `cds init ` to create a new project.\n\n3. **Create a New Data Model**: In your project directory, create a new file in the `db` folder with the extension `.cds`. This file will contain your data model. For example, you might create a file called `schema.cds`.\n\n4. **Define Your Entity**: In your data model file, you can define a new entity. Here's an example of what the syntax might look like:\n\n```CDS\nnamespace my.project;\n\nentity MyEntity {\n key ID : Integer;\n name : String;\n description : String;\n}\n```\n\nIn this example, `MyEntity` is the name of the entity, and it has three properties: `ID`, `name`, and `description`.\n\n5. **Build Your Project**: Once you've defined your entity, you can build your project using the command `cds build`.\n\n6. **Deploy Your Project**: After building your project, you can deploy it to a database using the command `cds deploy --to `.\n\nRemember, this is a basic guide. Depending on your specific needs, you might need to define more complex entities, relationships between entities, or even custom business logic. The SAP Cloud Application Programming Model documentation is a great resource for learning more about these topics.", "metadata": null} +{"prompt": "Read the peer's work with the following starting points:\n\nHow can the peer's summary be further developed in terms of the description of:\n\uf0b7 The content of the sources\n\uf0b7 The critical evaluation of the sources\n\uf0b7 The description of how the sources relate to each other.\nHow could the selection of sources be developed in a future degree project?\nThe peer's work: \"University of Gothenburg Alexander Johansson KBB320\nSynthesis of knowledge\nSubscribe to DeepL Pro to edit this document. Visit www.DeepL.com/pro for more information.\nHow are our historic stone houses built and what problems do stone structures face today?\nI have been trying to read up on natural stone masonry, and in particular trying to find examples of constructions where both natural stone and brick have been used in the same construction. The overwhelming majority of our historic buildings are in stone, and not infrequently they have, if not entire walls of natural stone, then at least elements of natural stone.\nThe focus of this compilation has been to read about a wide range of topics in the field of natural stone masonry, but perhaps the most focus has been on craft processes and descriptions of approaches to the material.\nWhich stone is used where varies greatly from place to place, so the magnifying glass has also ended up reading about the difference in materials across the country, as well as the problems we face in the conservation and restoration of natural stone structures today.\nNatural stone is a material that has historically been used in Sweden since before the advent of bricks. Our early stone buildings were built by cold masonry where stones were stacked on top of each other without the use of mortar or other binders.\nHowever, natural stone has had difficulty asserting itself in buildings outside of high-rise buildings such as churches, manor houses and mansions, partly because of the ingrained tradition of building residential buildings in wood, but also because it was an expensive material, both in terms of transportation if the material was not close at hand, but also in terms of processing.\nIn 1766, at a time when there was a shortage of wood for building houses, and even a promise of a 20-year tax exemption if you built your house in stone, Carl Wijnblad writes about how natural stone was difficult to handle and unsuitable for building houses. Here, however, he is talking about natural stone in the form of gray stone, a collective term for blocks of stone picked directly from the ground or dug up, for example, during agricultural work, and not about the brick, which he warmly advocated in his book Beskrifning, huru allmogens buildings, so of stone, as well as trees, must be erected with the greatest economy, according to attached project drawings in six copper pieces, as well as proposals for necessary building materials. He found the stone unsuitable as it requires a lot of processing and a lot of lime to be good enough to be used other than for foundation walls and cellars. The stone was also considered to be damp and cold, and suitable only for animal houses.\nBuildings made of both natural stone, in the form of grey stone, and brick in the same construction are described in a number of different designs in the training material from Hermods in the document Byggnadskonstruktionsl\u00e4ra (f\u00f6r murare) : undervisning per korrespondens (1907). In the chapter Walls of stone blocks: \"Such walls of stone blocks, which are to have any appreciable height, are, however, erected as mixed walls, i.e. they are erected with horizontal bands and vertical columns of brick\". This also clarifies several other\napproaches to the inclusion of bricks in natural stone walls, with bricks or more tumbled stones being used in virtually all parts of the wall where greater precision is required. Window surrounds, the corners of the wall, the above-mentioned stabilizing shifts, and even roof ends should be made of brick. Hermod's text is relatively exhaustive in the field of natural stone masonry, and describes various approaches to stones in differently worked conditions, but no information about who or where these experiences and approaches come from is given in the text. The text is familiarly signed by Hermods himself, but it is doubtful that he is the author.\nFurther reading in, for example, Arvid Henstr\u00f6m's book Landtbyggnadskonsten volume 5 (1869) offers a slightly more detailed account of the building method, but in general the advice sounds the same as in Hermod's text. As an engineer, Henstr\u00f6m should be well versed in the art of building, and his recommendations are sound, even if the text itself is not significantly exhaustive in terms of illustrations or other aids other than a running text description of different approaches to masonry with natural stone.\nThe fact that someone like Henstr\u00f6m is giving the same advice as Hermods gives good credit to the fact that the information in the training material is sound and well based on literature in the field.\nHowever, Henstr\u00f6m makes it clear already in the introduction to this text that it is not written for the experienced craftsman, but \"it is intended for the farmer and his inexperienced workers who are unfamiliar with building details and their form and execution\", which explains the lack of drawing examples and more detailed descriptions of the craft processes. Both texts recommend the use of the best quality hydraulic lime mortar for masonry.\nOne conclusion to be drawn from reading both Hermod's and Henstr\u00f6m's texts is that the construction of a stone wall does not differ so dramatically, whether it is built of brick or natural stone. The goal is to achieve a joint where the different building blocks interact with each other to create a stable structure that can withstand forces from different directions, but different solutions need to be applied depending on how processed the stones are. Both provide insight into the role that brick can play in natural stone construction, and are described as the rational choice in many cases. Neither text is exhaustive, or should be seen as detailed descriptions of craft processes, but they can be used, with a little prior knowledge, as a complement to the execution of masonry with natural stone.\nStructures using relatively unprocessed natural stone face a number of problems in addition to those encountered during construction.\nThe Geological Society London publishes a journal that compiles information and articles in the field. The journal itself is locked behind fees, but the introduction was available for guidance to other authors in the field. The introduction is written by Professor of Geology Siegesmund Siegfried, who in his text highlights the problems faced in the preservation and restoration of natural stone buildings. Strategies on how to deal with damage caused by natural degradation of the stone, how the environment influences the grading, how anthropogenic circumstances accelerate decay, attack by algae or microorganisms in the stone.\nThe reading of Siegesmund's text therefore led me on a trail of other texts in the field, and eventually to the article Impact of the surface roughness of stones used in historical buildings on biodeterioration, a text on how the surface texture porosity of building stones influences the speed and degree of biological impact and degradation.\n\nBiological impact refers to plants, both clinging plants with roots and creeping plants such as lichens and mosses, and their impact on the structure of the stone, both as living and dead material. The material is based on investigations carried out in Nigde, Turkey, which is somewhat different from conditions in Sweden, but the different types of rocks investigated are similar to those used in Sweden, such as large amounts of limestone. The source is really only tangentially relevant to this compilation, but interesting reading nonetheless, and definitely a recurring topic in the question of how our stone houses should be taken care of.\nSources\n\u25cf Henstr\u00f6m, Arvid (1869) Practical handbook in the art of rural construction: including the study of building materials, the processing and joining of building materials, the shape, dimensions and strength of building components .... \u00d6rebro: Beijer\n\u25cf Hermods (1907) Teaching and correspondence, Building construction for bricklayers, seventh letter.\n\u25cf Mustafa Korkan\u00e7, Ahmet Savran (2015) Impact of the surface roughness of stones used in historical buildings on biodeterioration.\n\u25cf Wijnbladh, Carl (1766). Description of how the common people's buildings, both of stone and wood, may be erected with the greatest economy, according to attached\n\nproject drawings in six copper pieces, and proposals for necessary building materials. Utgifwen p\u00e5 kongl. maj:ts allern\u00e5digste befehlung, efter f\u00f6reg\u00e5ngit gillande wid riks-dagen \u00e5r 1765, af Carl Wijnblad. Stockholm, printed by Peter Heszelberg, 1766. Stockholm: (Hesselberg!", "search_helpful": false, "source": "arena_hard", "label": "Creating a local VPN service in Android involves several steps. Here's a basic example of how you can create a VPN service in Kotlin. This example does not include the packet filtering part, as it requires a deep understanding of networking and it's beyond the scope of this platform.\n\n```kotlin\nimport android.net.VpnService\nimport android.content.Intent\nimport android.os.ParcelFileDescriptor\nimport java.io.IOException\n\nclass MyVpnService : VpnService() {\n\n private var mInterface: ParcelFileDescriptor? = null\n\n override fun onStartCommand(intent: Intent?, flags: Int, startId: Int): Int {\n // The interface is already running, stop it and restart.\n if (mInterface != null) {\n try {\n mInterface!!.close()\n } catch (e: IOException) {\n // ignore\n }\n\n mInterface = null\n }\n\n // Configure a builder while parsing the parameters.\n val builder = Builder()\n builder.setMtu(1500)\n builder.addAddress(\"192.168.0.1\", 24)\n builder.addRoute(\"0.0.0.0\", 0)\n mInterface = builder.establish()\n\n return START_STICKY\n }\n\n override fun onDestroy() {\n super.onDestroy()\n if (mInterface != null) {\n try {\n mInterface!!.close()\n } catch (e: IOException) {\n // ignore\n }\n }\n }\n}\n```\n\nThis code creates a basic VPN service that sets up a VPN interface with a private network IP and a route to forward all traffic through the VPN. \n\nTo filter packets by destination IP address, you would need to read packets from the VPN interface, inspect them, and then decide whether to forward them or not. This would involve using low-level networking APIs and understanding of the IP protocol. \n\nPlease note that you need to declare the service in your AndroidManifest.xml file and request the `BIND_VPN_SERVICE` permission. Also, the user needs to confirm the VPN connection request. \n\nThis is a complex task and you should have a good understanding of networking and Android's VPNService APIs before attempting it.", "metadata": null} +{"prompt": "What are all the stages of construction in a house including the various trades in the order you would want to perform them? As well please include a brief statement as to why each a stage happens before or after another another stage.", "search_helpful": false, "source": "arena_hard", "label": "Sure, I can guide you on how to create a simple Streamlit app that plays videos. Streamlit is a great tool for building data apps quickly. Here's a basic example of how you can use it to play a video:\n\nFirst, you need to install Streamlit if you haven't done so already. You can do this using pip:\n\n```bash\npip install streamlit\n```\n\nNext, you can create a new Python file and import the Streamlit library at the top:\n\n```python\nimport streamlit as st\n```\n\nTo play a video, you can use the `video` function. This function takes the path to a video file or a URL of a video as its first argument. Here's an example:\n\n```python\nst.video('https://www.youtube.com/watch?v=dQw4w9WgXcQ')\n```\n\nThis will play the video from the provided YouTube link in the Streamlit app.\n\nHere's the complete code for a simple Streamlit app that plays a video:\n\n```python\nimport streamlit as st\n\ndef main():\n st.title('Streamlit Video App')\n st.video('https://www.youtube.com/watch?v=dQw4w9WgXcQ')\n\nif __name__ == \"__main__\":\n main()\n```\n\nTo run the app, save the code in a file (for example, `app.py`), and then run the following command in your terminal:\n\n```bash\nstreamlit run app.py\n```\n\nThis will start the Streamlit server and open the app in your default web browser.\n\nPlease note that the video function in Streamlit supports various formats like MP4, YouTube links, etc. If you want to play a local video file, just replace the URL with the local path to your video file.", "metadata": null} +{"prompt": "write an example scope of work for waste management for a hospital", "search_helpful": false, "source": "arena_hard", "label": "$20,000 decrease.", "metadata": null} +{"prompt": "can you tell me what is the best method to do a site anaylsis for a hospital project with step by step ", "search_helpful": false, "source": "arena_hard", "label": "Creating a media entity in Drupal involves several steps. Here's a basic guide:\n\n1. **Install and Enable Required Modules**: Before you can create a media entity, you need to install and enable the Media module. You can do this through the Extend option in the Drupal admin dashboard. You might also need to enable related modules like Media Library.\n\n2. **Create Media Type**: Go to Structure > Media types > Add media type. Here, you can define the type of media you want to create. For example, you can create a media type for images, videos, audio files, etc. You need to provide a name for the media type, and select the media source (like File, Image, Video, etc.). You can also configure other settings like the form display and display settings.\n\n3. **Add Media**: Once you have created a media type, you can add media to it. Go to Content > Media > Add media. Select the media type you created, and then you can upload or provide a link to the media you want to add.\n\n4. **Use Media**: After adding media, you can use it in your content. When you create or edit content, you can add media through the media field. You can search for the media by name, and then insert it into your content.\n\nRemember, the exact steps might vary slightly depending on your Drupal version and configuration.", "metadata": null} +{"prompt": "Can you tell me how to get various HuggingFace LanguageModels working on my local machine using AutoGen", "search_helpful": false, "source": "arena_hard", "label": "To add another IP address on a specific VLAN to a network interface in Linux, you can follow these steps:\n\n1. First, you need to install the `vlan` package. You can do this with the following command:\n\n```bash\nsudo apt-get install vlan\n```\n\n2. Next, you need to load the 8021q module into the kernel. You can do this with the following command:\n\n```bash\nsudo modprobe 8021q\n```\n\n3. Now, you can add a new VLAN to your network interface. For example, if your network interface is named `eth0` and you want to add a VLAN with the ID 10, you can use the following command:\n\n```bash\nsudo vconfig add eth0 10\n```\n\n4. After adding the VLAN, you can assign an IP address to it. For example, if you want to assign the IP address 192.168.1.2 with the subnet mask 255.255.255.0, you can use the following command:\n\n```bash\nsudo ip addr add 192.168.1.2/24 dev eth0.10\n```\n\n5. Finally, you need to bring up the VLAN interface with the following command:\n\n```bash\nsudo ip link set up eth0.10\n```\n\nRemember to replace `eth0`, `10`, and `192.168.1.2/24` with your actual network interface name, VLAN ID, and IP address/subnet mask.\n\nAlso, these changes are not persistent across reboots. To make them persistent, you would need to edit the `/etc/network/interfaces` file or create a new file in the `/etc/network/interfaces.d/` directory, depending on your Linux distribution.", "metadata": null} +{"prompt": "write a python program that would may someone emotional or happy, and then explain why", "search_helpful": false, "source": "arena_hard", "label": "The symptoms described suggest a few possible conditions:\n\n1. Gout: This is a type of arthritis that typically affects the joint at the base of the big toe. It is characterized by sudden, severe attacks of pain, redness, and tenderness in the joints, often the joint at the base of the big toe.\n\n2. Cellulitis: This is a bacterial infection of the skin and tissues beneath the skin. It can cause redness, swelling, warmth, and tenderness.\n\n3. Ingrown toenail: This occurs when the edge of the toenail grows into the skin of the toe. It can cause pain, redness, and swelling in the affected area.\n\n4. Bunion: This is a bony bump that forms on the joint at the base of the big toe. It can cause pain and swelling.\n\n5. Fracture or sprain: If the person has had a recent injury or trauma to the toe, this could be a possibility.\n\n6. Septic arthritis: This is a joint infection that causes pain, swelling, redness, and warmth in the affected joint. It's less common in the toe, but still possible.\n\nIt's important for this person to see a healthcare provider for a proper diagnosis and treatment.", "metadata": null} +{"prompt": "ISO 26262: write technical requiremens for functional requirement \"Display shall ensure that the base values of the brightness shall HMI never cause a display brightness that is specified as dangerous by the dimming specification\"", "search_helpful": false, "source": "arena_hard", "label": "Indexing a large codebase for the purpose of tracing variable dependencies can be a complex task. Here's a general approach you can take:\n\n1. **Use a Code Indexing Tool**: Tools like Sourcegraph, OpenGrok, or Kythe can help you index your codebase. These tools provide a way to navigate through your code and understand the relationships between different parts of your codebase.\n\n2. **Static Code Analysis**: Use static code analysis tools specific to your programming language. These tools can help you understand the flow of data through your program and identify where specific variables are used and modified.\n\n3. **IDE Features**: Many Integrated Development Environments (IDEs) have features that allow you to trace the usage of a variable throughout your codebase. For example, in IntelliJ IDEA, you can use the \"Find Usages\" feature.\n\n4. **Custom Scripts**: If your codebase is in a language like Python, you could write scripts using modules like `ast` (Abstract Syntax Trees) to parse your code and build a dependency graph of your variables.\n\n5. **Documentation and Comments**: Ensure your code is well-documented. Comments explaining the purpose of variables and their relationships to each other can be invaluable when trying to understand a large codebase.\n\n6. **Unit Tests**: Unit tests can also provide insights into how different parts of your codebase interact. They can show you what the expected inputs and outputs for a particular function are, and how different variables are used to achieve that result.\n\nRemember, the effectiveness of these methods can greatly depend on the language and structure of your codebase.", "metadata": null} +{"prompt": "Generate user stories for the following text: Sell Configured to Ordered Products.\nThe system shall display all the products that can be configured.\nThe system shall allow user to select the product to configure.\nThe system shall display all the available components of the product to configure\nThe system shall enable user to add one or more component to the configuration.\nThe system shall notify the user about any conflict in the current configuration.\nThe system shall allow user to update the configuration to resolve conflict in the current configuration.\nThe system shall allow user to confirm the completion of current configuration\nProvide comprehensive product details.\nThe system shall display detailed information of the selected products.\nThe system shall provide browsing options to see product details.\nDetailed product Categorizations\nThe system shall display detailed product categorization to the user.\nProvide Search facility.\nThe system shall enable user to enter the search text on the screen.\nThe system shall enable user to select multiple options on the screen to search.\nThe system shall display all the matching products based on the search\nThe system shall display only 10 matching result on the current screen.\nThe system shall enable user to navigate between the search results.\nThe system shall notify the user when no matching product is found on the search.\nMaintain customer profile.\nThe system shall allow user to create profile and set his credential.\nThe system shall authenticate user credentials to view the profile.\nThe system shall allow user to update the profile information.\nProvide personalized profile\n.\nThe system shall display both the active and completed order history in the customer profile.\nThe system shall allow user to select the order from the order history.\nThe system shall display the detailed information about the selected order.\nThe system shall display the most frequently searched items by the user in the profile.\nThe system shall allow user to register for newsletters and surveys in the profile.\nProvide Customer Support.\nThe system shall provide online help, FAQ\u2019s customer support, and sitemap options for customer support.\nThe system shall allow user to select the support type he wants.\nThe system shall allow user to enter the customer and product information for the support.\nThe system shall display the customer support contact numbers on the screen.\nThe system shall allow user to enter the contact number for support personnel to call.\nThe system shall display the online help upon request.\nThe system shall display the FAQ\u2019s upon request.\nEmail confirmation.\nThe system shall maintain customer email information as a required part of customer profile.\nThe system shall send an order confirmation to the user through email.\nDetailed invoice for customer.\nThe system shall display detailed invoice for current order once it is confirmed.\nThe system shall optionally allow user to print the invoice.\nProvide shopping cart facility.\nThe system shall provide shopping cart during online purchase.\nT", "search_helpful": false, "source": "arena_hard", "label": "Here is the equivalent code that is easier to read:\n\n```c\nvoid handleCommandLineArguments(char *inputParameter)\n{\n unsigned int counter1;\n unsigned int counter2;\n int index;\n char *pointerToInput;\n char currentChar;\n \n counter1 = -1;\n counter2 = 0;\n index = 0;\n pointerToInput = inputParameter;\n \n do {\n if (counter1 == 0) break;\n counter1--;\n currentChar = *pointerToInput;\n pointerToInput++;\n } while (currentChar != '\\0');\n \n if (0 < (int)(~counter1 - 2)) {\n do {\n counter2 = RK_CheckSJIS(counter2 & 0xffffff00 | (unsigned int)(byte)inputParameter[index]);\n if (counter2 == 1) {\n index++;\n }\n else if (inputParameter[index] == '/') {\n counter2 = counter2 & 0xffffff00 | (unsigned int)(byte)inputParameter[index + 1] | 0x20;\n if ((char)counter2 == 'w') {\n IsWindowedMode = 1;\n }\n else if ((char)counter2 == 'f') {\n IsWindowedMode = 0;\n }\n }\n index++;\n } while (index < (int)(~counter1 - 2));\n }\n}\n```\n\nIn this version, I've replaced the variable names with more descriptive ones, and I've also added some spaces and line breaks to make the code easier to read.", "metadata": null} +{"prompt": "In the USA financial markets, how good of a hedge have Bonds been vs Equities in the period 2000-2023?", "search_helpful": false, "source": "arena_hard", "label": "Here's a basic example of a Roblox Luau timer using coroutines, metatables, and module scripts. This script is not extremely complex, but it should give you a good starting point for creating a more complex timer if needed.\n\n```lua\n-- Timer Module\nlocal Timer = {}\nTimer.__index = Timer\n\n-- Create a new Timer\nfunction Timer.new()\n local self = setmetatable({}, Timer)\n self.startTime = os.time()\n return self\nend\n\n-- Get the elapsed time\nfunction Timer:elapsedTime()\n return os.time() - self.startTime\nend\n\n-- Coroutine function\nlocal function coroutineFunc(timer)\n while true do\n print(\"Elapsed time: \" .. timer:elapsedTime())\n coroutine.yield()\n end\nend\n\n-- Start the timer\nfunction Timer:start()\n local co = coroutine.create(coroutineFunc)\n coroutine.resume(co, self)\nend\n\nreturn Timer\n```\n\nTo use this module, you would do something like this:\n\n```lua\nlocal Timer = require(script.Timer) -- Assuming the Timer module is a child of the script\n\nlocal timer = Timer.new()\ntimer:start()\n\nwhile true do\n wait(1)\n timer:start()\nend\n```\n\nThis script creates a timer that starts when you call `Timer.new()`. The `start` function starts a coroutine that prints the elapsed time since the timer was created every time it is resumed. The `wait(1)` call in the while loop ensures that the coroutine is resumed approximately once every second.\n\nPlease note that this is a basic example and may not be suitable for all use cases. For example, it does not handle errors that may occur during the execution of the coroutine. You may need to add error handling code depending on your specific needs.", "metadata": null} +{"prompt": " Can you market size revenue that can earned by UK Management Consultancy by advising and implementing FinTech solutions to Capital Markets clients ", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a sample code using Python's pandas library to achieve this:\n\n```python\nimport pandas as pd\n\n# Sample data\ndata = {\n 'Place': ['New York', 'New York', 'New York', 'Los Angeles', 'Los Angeles', 'Los Angeles'],\n 'Company': ['Company A', 'Company B', 'Company A', 'Company B', 'Company A', 'Company B'],\n 'month': ['January', 'February', 'March', 'January', 'February', 'March'],\n 'year': [2020, 2020, 2020, 2020, 2020, 2020],\n 'earnings': [1000, 2000, 1500, 2500, 3000, 3500]\n}\n\ndf = pd.DataFrame(data)\n\n# Group by Place, Company and month, then calculate the average earnings\ngrouped = df.groupby(['Place', 'Company', 'month']).mean().reset_index()\n\n# Find the month with the highest average earnings for each Place and Company\nresult = grouped.loc[grouped.groupby(['Place', 'Company'])['earnings'].idxmax()]\n\nprint(result)\n```\n\nThis code first creates a DataFrame from the sample data. It then groups the data by 'Place', 'Company', and 'month', and calculates the average earnings for each group. The idxmax() function is used to find the index of the row with the highest average earnings for each 'Place' and 'Company'. The result is a DataFrame that shows the month with the highest average earnings for each place and company.\n\nPlease replace the sample data with your actual data and adjust the column names if necessary.", "metadata": null} +{"prompt": "act as python code generator and given the data, convert it into the chart using matplotlib.", "search_helpful": false, "source": "arena_hard", "label": "In GAMS, you can create a new parameter P2(A,C) that takes the mapped value from P1(A,B) using a loop or a similar construct. Here's a simple example of how you can do this:\n\nAssume you have the following sets and parameters:\n\n```gams\nSet A /A1*A3/;\nSet B /B1*B3/;\nSet C /C1*C3/;\n\nParameter P1(A,B);\nParameter P2(A,C);\n\nAlias (B,bb), (C,cc);\n\n* Assume you have a one-to-one mapping from B to C\nSet mapBtoC(B,C) /B1.C1, B2.C2, B3.C3/;\n\n* Assume some values for P1\nP1(A,B) = uniform(1,10);\n```\n\nYou can then create P2(A,C) using a loop:\n\n```gams\nLoop((A,bb,cc)$mapBtoC(bb,cc),\n P2(A,cc) = P1(A,bb);\n);\n```\n\nIn this loop, for each A, bb, and cc such that mapBtoC(bb,cc) is true, P2(A,cc) is set to the value of P1(A,bb). This effectively maps the values from P1(A,B) to P2(A,C) using the one-to-one mapping from B to C.", "metadata": null} +{"prompt": "world = geopandas.read_file(get_path(\"naturalearth.land\"))\n\n# We restrict to South America.\nax = world.clip([-90, -55, -25, 15]).plot(color=\"white\", edgecolor=\"black\")\n\n# We can now plot our ``GeoDataFrame``.\ngdf.plot(ax=ax, color=\"red\")\n\nplt.show()\n\nhow to plot all data", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple Java method that uses Java Stream to accomplish this:\n\n```java\nimport java.util.List;\nimport java.util.Optional;\n\npublic class Main {\n public static void main(String[] args) {\n // Test the method here\n }\n\n public static T checkList(List list) throws Exception {\n if (list.size() > 1) {\n throw new Exception(\"List has more than one entry\");\n } else if (list.size() == 1) {\n Optional optional = list.stream().findFirst();\n return optional.orElse(null);\n } else {\n return null;\n }\n }\n}\n```\n\nIn this code, the `checkList` method accepts a list of any type (`List`). It first checks if the size of the list is greater than 1. If it is, it throws an exception. If the size is exactly 1, it uses the `stream().findFirst()` method to get the first (and only) element of the list. If the list is empty, it returns null.", "metadata": null} +{"prompt": "If I invest 70K a month and it gives me a compunded annual growth return (CAGR) of 12%, how much will it grow to in 10 years", "search_helpful": false, "source": "arena_hard", "label": "Here is a basic example of how you can merge two Word documents using OpenXML SDK in C#. This function will take the first two pages, header, footer, and design from the first document, and the page contents and glossary from the second document. \n\nPlease note that this is a simplified example and may not cover all edge cases. You may need to adjust it according to your specific requirements.\n\n```csharp\nusing DocumentFormat.OpenXml.Packaging;\nusing DocumentFormat.OpenXml.Wordprocessing;\nusing System.Linq;\n\npublic void MergeDocuments(string sourceFile1, string sourceFile2, string outputFile)\n{\n // Create a copy of the source1 document to work with\n System.IO.File.Copy(sourceFile1, outputFile, true);\n\n // Open the destination document\n using (WordprocessingDocument destDoc = WordprocessingDocument.Open(outputFile, true))\n {\n // Create a new MainDocumentPart\n MainDocumentPart mainPart = destDoc.MainDocumentPart;\n\n // Create a new GlossaryDocumentPart\n GlossaryDocumentPart glossaryPart = destDoc.MainDocumentPart.GlossaryDocumentPart;\n\n // Open the source document\n using (WordprocessingDocument sourceDoc = WordprocessingDocument.Open(sourceFile2, false))\n {\n // Take only the first two pages from source1\n var pages = mainPart.Document.Descendants().Take(2).ToList();\n if (pages.Count() > 0)\n {\n var lastPage = pages.Last();\n while (lastPage.NextSibling() != null)\n {\n lastPage.NextSibling().Remove();\n }\n }\n\n // Merge contents from source2\n foreach (var element in sourceDoc.MainDocumentPart.Document.Body)\n {\n mainPart.Document.Body.Append((OpenXmlElement)element.Clone());\n }\n\n // Merge glossary from source2\n if (sourceDoc.MainDocumentPart.GlossaryDocumentPart != null)\n {\n foreach (var element in sourceDoc.MainDocumentPart.GlossaryDocumentPart.GlossaryDocument.Descendants())\n {\n glossaryPart.GlossaryDocument.Append((OpenXmlElement)element.Clone());\n }\n }\n }\n\n // Save changes to the destination document\n mainPart.Document.Save();\n }\n}\n```\n\nThis function will create a new document that is a copy of the first source document, then it will append the contents of the second source document to it. The glossary from the second document is also appended to the glossary of the new document. \n\nPlease note that this function does not handle the merging of styles, fonts, headers, footers, and images. You would need to add additional code to handle these elements.", "metadata": null} +{"prompt": "\nA 20-year annuity of forty $7,000 semiannual payments will begin 12 years from now, with the first payment coming 12.5 years from now.\n\n \n \na.\tIf the discount rate is 13 percent compounded monthly, what is the value of this annuity 6 years from now?\n \t\n\n\n \nb.\tWhat is the current value of the annuity?\n \t\n", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a basic training plan for you. This plan assumes that you have a solid base of fitness from your running and cycling, and that you're starting from scratch with swimming. It's designed to gradually increase your endurance and strength in all three disciplines, while also allowing for adequate recovery time. \n\n**January - Basic Training**\n\n*Monday*: Rest\n\n*Tuesday*: Swim - Start with 30 minutes of swimming lessons or self-practice, focusing on technique.\n\n*Wednesday*: Bike - 1 hour of steady state cycling at a moderate pace.\n\n*Thursday*: Swim - 30 minutes of swimming lessons or self-practice, focusing on technique.\n\n*Friday*: Run - 1 hour of steady state running at a moderate pace.\n\n*Saturday*: Bike - 1.5 hours of steady state cycling at a moderate pace.\n\n*Sunday*: Run - Long run, start with 1.5 hours and gradually increase duration each week.\n\n**February - Building Endurance**\n\n*Monday*: Rest\n\n*Tuesday*: Swim - 45 minutes of swimming, focusing on endurance.\n\n*Wednesday*: Bike/Run - 1 hour of cycling followed by a 30-minute run (brick workout).\n\n*Thursday*: Swim - 45 minutes of swimming, focusing on endurance.\n\n*Friday*: Run - 1 hour of steady state running at a moderate pace.\n\n*Saturday*: Bike - 2 hours of steady state cycling at a moderate pace.\n\n*Sunday*: Run - Long run, continue to gradually increase duration.\n\n**March - Increasing Intensity**\n\n*Monday*: Rest\n\n*Tuesday*: Swim - 1 hour of swimming, incorporating intervals.\n\n*Wednesday*: Bike/Run - 1.5 hours of cycling followed by a 45-minute run (brick workout).\n\n*Thursday*: Swim - 1 hour of swimming, incorporating intervals.\n\n*Friday*: Run - 1 hour of running, incorporating intervals.\n\n*Saturday*: Bike - 2.5 hours of cycling, incorporating some hill work.\n\n*Sunday*: Run - Long run, continue to gradually increase duration.\n\n**April - Specificity Training**\n\n*Monday*: Rest\n\n*Tuesday*: Swim - 1 hour of swimming, focusing on race pace.\n\n*Wednesday*: Bike/Run - 2 hours of cycling at race pace followed by a 1-hour run at race pace (brick workout).\n\n*Thursday*: Swim - 1 hour of swimming, focusing on race pace.\n\n*Friday*: Run - 1 hour of running at race pace.\n\n*Saturday*: Bike - 3 hours of cycling at race pace.\n\n*Sunday*: Run - Long run at a comfortable pace, not exceeding 2.5 hours.\n\n**May - Tapering**\n\n*Monday*: Rest\n\n*Tuesday*: Swim - 45 minutes of swimming at a comfortable pace.\n\n*Wednesday*: Bike/Run - 1.5 hours of cycling at a comfortable pace followed by a 45-minute run at a comfortable pace (brick workout).\n\n*Thursday*: Swim - 45 minutes of swimming at a comfortable pace.\n\n*Friday*: Run - 45 minutes of running at a comfortable pace.\n\n*Saturday*: Bike - 2 hours of cycling at a comfortable pace.\n\n*Sunday*: Run - Long run at a comfortable pace, not exceeding 2 hours.\n\n**June - Race Week**\n\n*Monday*: Rest\n\n*Tuesday*: Swim - 30 minutes of easy swimming.\n\n*Wednesday*: Bike - 1 hour of easy cycling.\n\n*Thursday*: Run - 30 minutes of easy running.\n\n*Friday*: Swim - 20 minutes of easy swimming.\n\n*Saturday*: Rest\n\n*Sunday*: Race Day!\n\nRemember, this is a basic plan and might need to be adjusted based on your progress and how your body responds to the training. Listen to your body and adjust as necessary. Good luck with your training!", "metadata": null} +{"prompt": "How can you estimate a machine capacity plan if there are funamental unknowns like process times and invest available for the planed machine/capacity need? Can you comunicate the approximations in the assumtion as a uncertainty value on the result? ", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple Python program that uses the `os` and `zipfile` modules to archive files in a specified folder into separate zip files. This program will create a zip file for each file in the specified directory.\n\n```python\nimport os\nimport zipfile\n\ndef zip_files_in_folder(folder_path):\n # Get all files in the specified folder\n files = os.listdir(folder_path)\n\n for file in files:\n # Create a ZipFile object\n with zipfile.ZipFile(os.path.join(folder_path, file + '.zip'), 'w') as zipf:\n # Add file to the zip file\n zipf.write(os.path.join(folder_path, file), arcname=file)\n\n# Specify the folder to zip files in\nfolder_path = '/path/to/folder'\nzip_files_in_folder(folder_path)\n```\n\nPlease replace `'/path/to/folder'` with the path to the folder you want to zip files in. This program will create a zip file for each file in the specified folder, and the zip files will be created in the same folder.\n\nPlease note that this program does not handle subdirectories. If you want to include subdirectories and their files in the zip files, you will need to modify the program to traverse the directory tree.", "metadata": null} +{"prompt": "if have 90 lakh rupees now, should i invest in buying a flat or should i do a SIP in mutual fund. I can wait for 10 years in both cases. Buying a flat involves 1)taking a loan of 80 lakhs and paying an emi of around 80000 per month for 15 years or until I foreclose it 2) FLat construction will take 2 years and will not give me any rent at that time 3) after 2 years, I might get rent in teh range of 20000-30000 per month 4) there is a risk that tenants might spoil the flat and may not pay rent 5) I might have to invest 30,000 every year to do repairs 6)if it is not rented then I need to pay maintenance amount of 60000 per year ;otherwise if it is rented, then the tenants will take care of the maintenance 7)after 5-6 years the value of flat might be 2x and after 10 years it might become 2.5x 8)after 10 yeras, when I sell the flat, I need to pay 20% capital gains tax on the capital gains I get; IN case I do SIP in INdian mutual funds these are the considerations a) I intend to put 1lakh per month in SIP in large cap fund, 1 lakh per month in small cap fund , 1 lakh per month in mid cap fund. I will do SIP until I exhaust all 90 laksh and then wait for it to grow. b)large cap funds grow at 7-8% per annum generally and by 1-2% per annum in bad years c) small cap funds grow at 15-20% per annum in good years and -15% to -30% per annum during bad years d)mid caps grow at 10-15% per annum in good years and go down by 10-15% per annum in bad years.. there might be 4-5 bad years at random times.. e)after the 10 year peried, I need to pay 10% capital gains tax on teh capital gains I get from the sale of mutual funds.. what should i do now?", "search_helpful": false, "source": "arena_hard", "label": "In After Effects, you can't directly write an expression to create a shape with a rounded corner. However, you can manually create a 500x500 px square and round the top right corner using the \"Rounded Rectangle Tool\". Here's how:\n\n1. Create a new shape layer.\n2. Select the \"Rounded Rectangle Tool\".\n3. Click and drag on the composition to create a rectangle. Hold down the Shift key while dragging to create a perfect square.\n4. In the \"Rectangle Path\" property of the shape layer, set the \"Size\" to [500, 500].\n5. To round the top right corner, you'll need to manually adjust the path of the shape. Click on the \"Path\" property to reveal the path's anchor points.\n6. Click on the top right anchor point and drag the handle to create a rounded corner.\n\nIf you want to automate this process, you might need to use a script or a plugin that can create custom shapes. After Effects expressions are more for animating properties over time, not for creating static shapes.", "metadata": null} +{"prompt": "Explain how to implement model parallelism with sharding specs in JAX.", "search_helpful": false, "source": "arena_hard", "label": "he system shall allow user to add or remove products from the shopping cart.\nThe system shall display the total price of the products in the shopping cart.\nThe system shall allow user to proceed to checkout from the shopping cart.\nThe system shall allow user to save the shopping cart for future purchase.\nThe system shall display the saved shopping cart upon user request.\nThe system shall allow user to update the quantity of the product in the shopping cart.\nThe system shall update the total price of the products in the shopping cart when the quantity is updated.\nThe system shall display the shipping charges in the shopping cart.\nThe system shall display the tax amount in the shopping cart.\nThe system shall display the final total amount in the shopping cart.\nThe system shall allow user to apply discount codes in the shopping cart.\nThe system shall update the final total amount after applying the discount code.\nThe system shall allow user to proceed to payment from the shopping cart.\nThe system shall allow user to select the payment method in the shopping cart.\nThe system shall allow user to enter the payment details in the shopping cart.\nThe system shall validate the payment details entered by the user.\nThe system shall display the payment confirmation in the shopping cart.\nThe system shall allow user to confirm the order from the shopping cart.\nThe system shall display the order confirmation in the shopping cart.\nThe system shall send the order confirmation to the user's email.", "metadata": null} +{"prompt": "How would I get the cartesian product of two arrays in Jax?", "search_helpful": false, "source": "arena_hard", "label": "To detect where the close price crosses over the 'EMA50' value, you can use the `cross` function from the `pandas-ta` library. Here's how you can do it:\n\n```python\nimport pandas as pd\nimport pandas_ta as ta\n\n# Assuming df is your DataFrame and it has 'close' and 'EMA50' columns\ndf['cross_over'] = ta.cross(df['close'], df['EMA50'])\n```\n\nIn the resulting DataFrame, the 'cross_over' column will contain `True` for the rows where the close price crosses over the 'EMA50' value and `False` otherwise.\n\nPlease note that the `cross` function returns `True` when the series in the first argument crosses above the series in the second argument. If you want to detect cross under, you should switch the order of the arguments.", "metadata": null} +{"prompt": "How can I serially track the change over time of a clinical marker relative to its reference range, if the reference range of the marker changes at some time point in between?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's an example of how you can plot an Empirical Cumulative Distribution Function (ECDF) of a Kernel Density Estimation (KDE) augmented dataset using Seaborn and other necessary libraries:\n\n```python\nimport numpy as np\nimport seaborn as sns\nimport matplotlib.pyplot as plt\nfrom scipy import stats\n\n# Assuming you have a pandas DataFrame 'df' and you want to plot ECDF for column 'col'\ndata = df['col']\n\n# Generate KDE\ndensity = stats.gaussian_kde(data)\n\n# Generate points over the range of data\nx = np.linspace(min(data), max(data), 1000)\n\n# Generate KDE values for these points\ndensity_values = density(x)\n\n# Generate ECDF values for these points\necdf_values = np.cumsum(density_values) / np.sum(density_values)\n\n# Create a new figure\nplt.figure(figsize=(8, 6))\n\n# Plot ECDF\nsns.lineplot(x=x, y=ecdf_values)\n\n# Show the plot\nplt.show()\n```\n\nThis code will generate a line plot of the ECDF of the KDE-augmented dataset. Please replace 'df' and 'col' with your actual DataFrame and column name.", "metadata": null} +{"prompt": "Take on the rol eof an Gherkin expert. Can you improve this Gherkin (Cuucmber tests) and move the following text in separate scenarios? \n\nScenario: Confirm Contour\n Given the user confirms the contours\n Then the Confirm Contour button becomes invisible\n And the following markers are visible in the navigation control:\n | Marker \t\t\t | View |\n | ES \t\t\t | Current |\n | OAC \t\t\t | Current |\n | OAC \t\t\t | Both |\n\t| LA Major Axis Length | Both \t | cm |\n And the following Global LAS values are shown for both views:\n | LAS Type | View |\n | LAS-R | Current |\n | LAS-R | Both |\n | LAS-CD | Current |\n | LAS-CD | Both |\n | LAS-CT | Current |\n | LAS-CT | Both |\n And the following information is shown in the current view:\n | Frame Number | Marker | Indication |\n | Auto | ES | |\n | Auto | OAC | |\n | Heartrate | | |\n And the following overall statistics are shown:\n | Statistic \t| Value |\n | Average HR \t| bpm |\n | Delta HR \t| bpm |\n | Minimum Framerate | fps \t |\n", "search_helpful": false, "source": "arena_hard", "label": "A Monad in Haskell is a type class that represents computations instead of values. It's a concept from a branch of mathematics called category theory. Monads in Haskell are used to abstract away boilerplate code needed for operations such as I/O, exception handling, state, or computations that can fail.\n\nIn real life, you can think of a Monad as a conveyor belt in a factory. The items on the belt can be processed (transformed), but the belt itself (the Monad) handles the logistics of moving the items along, adding new items, or taking items off the belt.\n\nHere's a simple example in Haskell using the Maybe Monad, which is used for computations that can fail:\n\n```haskell\nsafeDiv :: Float -> Float -> Maybe Float\nsafeDiv _ 0 = Nothing\nsafeDiv x y = Just (x / y)\n```\n\nIn this example, `safeDiv` is a function that safely divides two numbers. If you try to divide by zero, it fails and returns `Nothing`. Otherwise, it succeeds and returns `Just` the result.\n\nYou can use the `>>=` operator (also known as bind) to chain together computations that can fail:\n\n```haskell\nresult = Just 10 >>= \\x -> safeDiv x 2\n```\n\nIn this example, `result` will be `Just 5.0`. If any computation in the chain fails, the whole chain fails. This is like a conveyor belt in a factory: if any step of the process fails, the whole process fails.\n\nMonads in Haskell can be a bit tricky to understand at first, but they're a powerful tool that can help you write cleaner, more abstract code.", "metadata": null} +{"prompt": "I am a python programmer and I want to create a program that will use a list of about 50,000 records with about 12 fields per record. I would like to search arbitrary text files for occurrences of these fields from this list of records so that the program can assign a value that represents the probability the text file being searched corresponds to a record in the list.\nfor instance: \nIf one of the records contains these 12 fields: Jim, McMillan, Southpointe, Discover, Hoover, 35244, 242355, 6011546511247784, 10/19/1972, 593647757, 7203354, 205-422-1680\nIt would search a text file for occurrences of these fields and assign a point value based upon the number of matching fields found. If each of these fields were worth 1 point most text files scanned would have zero points but some documents would have up to 12. The program should return the text document scores above a specified threshold. \nKeep this design elegant but simple, take a deep breath, think step by step and if you do a good job I will tip you $200!", "search_helpful": false, "source": "arena_hard", "label": "To make your Discord bot play an audio clip using the Discord Interactions API, you'll need to use a library that supports voice connections, such as discord.js or discord.py. Here's a basic example using discord.js:\n\n1. First, you need to install the necessary dependencies. You can do this by running the following commands in your terminal:\n\n```bash\nnpm install discord.js @discordjs/opus ytdl-core\n```\n\n2. Then, you can use the following code to make your bot join a voice channel and play an audio file:\n\n```javascript\nconst Discord = require('discord.js');\nconst client = new Discord.Client();\nconst { joinVoiceChannel, createAudioPlayer, createAudioResource, AudioPlayerStatus } = require('@discordjs/voice');\nconst fs = require('fs');\n\nclient.on('interactionCreate', async interaction => {\n if (!interaction.isCommand()) return;\n\n const { commandName } = interaction;\n\n if (commandName === 'play') {\n if (interaction.member.voice.channel) {\n const channel = interaction.member.voice.channel;\n const connection = joinVoiceChannel({\n channelId: channel.id,\n guildId: channel.guild.id,\n adapterCreator: channel.guild.voiceAdapterCreator,\n });\n\n const player = createAudioPlayer();\n const resource = createAudioResource(fs.createReadStream('audiofile.mp3'));\n player.play(resource);\n\n player.on(AudioPlayerStatus.Idle, () => {\n connection.destroy();\n });\n\n connection.subscribe(player);\n\n await interaction.reply('Playing audio!');\n } else {\n await interaction.reply('You need to join a voice channel first!');\n }\n }\n});\n\nclient.login('your-token-goes-here');\n```\n\nIn this example, replace 'audiofile.mp3' with the path to your audio file. Also, replace 'your-token-goes-here' with your bot's token.\n\nPlease note that this is a basic example and might not cover all edge cases. You might need to handle errors and other situations according to your needs.", "metadata": null} +{"prompt": "Write a program to record the daily transactions for my companies petty cash account with running total in visual basic", "search_helpful": false, "source": "arena_hard", "label": "There isn't a direct \"undo\" command for a Docker build. However, you can achieve a similar result by removing the Docker image that was created by the build.\n\nHere's how you can do it:\n\n1. First, find the Image ID for the image you just created. You can do this by running the command `docker images`. This will list all the images along with their IDs that you have on your machine.\n\n2. Once you have the Image ID, you can remove the image by running the command `docker rmi `. Replace `` with the ID of the image you want to remove.\n\nPlease note that this will not revert any changes made to your Dockerfile or any other files in your directory. It will only remove the Docker image created by the build. If you want to revert changes made to your files, you would need to use a version control system like Git.", "metadata": null} +{"prompt": "I do not know JavaScript at all. Please show me how to read a CSV file in JS and explain the code.", "search_helpful": false, "source": "arena_hard", "label": "In HighFive, you can create a compound datatype for your struct as follows:\n\nFirst, you need to include the necessary headers:\n\n```cpp\n#include \n#include \n#include \n#include \n```\n\nThen, you can define your struct and create a compound datatype:\n\n```cpp\nstruct Data {\n double v[3];\n int n;\n};\n\n// Create a compound datatype\nHighFive::CompoundType create_compound_datatype() {\n HighFive::CompoundType compType(sizeof(Data));\n\n // Insert the members\n compType.addMember(\"v\", offsetof(Data, v), HighFive::AtomicType{});\n compType.addMember(\"n\", offsetof(Data, n), HighFive::AtomicType{});\n\n return compType;\n}\n```\n\nIn the `create_compound_datatype` function, we create a `CompoundType` object and add members to it. The `addMember` function takes three arguments: the name of the member, the offset of the member in the struct, and the datatype of the member.\n\nPlease note that the `offsetof` macro is used to get the offset of the member in the struct. Also, `HighFive::AtomicType` is used to specify the datatype of the member.\n\nYou can then use this compound datatype when creating a dataset:\n\n```cpp\nHighFive::File file(\"example.h5\", HighFive::File::ReadWrite | HighFive::File::Create | HighFive::File::Truncate);\n\nHighFive::DataSet dataset = file.createDataSet(\"dataset\", HighFive::DataSpace::From(Data), create_compound_datatype());\n```\n\nThis will create a dataset named \"dataset\" in the file \"example.h5\" with the compound datatype we defined.", "metadata": null} +{"prompt": "Create a javascript function that extracts the text from a document", "search_helpful": false, "source": "arena_hard", "label": "To uniformly sample a point inside a right angle triangle, you can use the following method:\n\n1. Generate two random numbers between 0 and 1, let's call them u and v.\n2. If u + v > 1, then set u = 1 - u and v = 1 - v. This is to ensure the point lies within the triangle.\n3. The coordinates of the point inside the triangle are then (u, v) in the triangle's coordinate system.\n\nThis method is based on the principle of transformation of variables. The idea is to generate two independent random variables that are uniformly distributed in the unit interval (0,1), and then transform them into a point inside the triangle.\n\nThis method ensures a uniform distribution of points inside the triangle because the transformation from (u,v) to the triangle's coordinates is a linear transformation, which preserves the property of uniform distribution.", "metadata": null} +{"prompt": "Given problem: Spill removal after chroma-key processing. The input is an image with an alpha channel. The transparency was achieved with simple binary chroma-keying, e.g. a pixel is either fully transparent or fully opaque. Now the input image contains spill from the chroma color. Describe an algorithm that can do spill removal for arbitrary chroma colors. The chroma color is known. Describe in enough detail to make it implementable.", "search_helpful": false, "source": "arena_hard", "label": "1. Phishing Attacks: This involves sending fraudulent emails that appear to be from reputable sources to steal sensitive data. Mitigation: Regular employee training on identifying and reporting phishing attempts.\n\n2. Malware: This includes viruses, worms, and Trojans that can disrupt operations. Mitigation: Use of robust antivirus software and regular system updates.\n\n3. Ransomware: This involves encrypting a company's data and demanding a ransom to unlock it. Mitigation: Regular data backups and use of strong security software.\n\n4. Insider Threats: Employees can intentionally or unintentionally cause security breaches. Mitigation: Implement strict access controls and monitor employee activities.\n\n5. Supply Chain Attacks: Attackers can compromise a supplier's security to gain access to the manufacturing company. Mitigation: Regular audits of suppliers' security measures.\n\n6. Physical Attacks: This involves physical access to sensitive areas or equipment. Mitigation: Implement physical security measures like CCTV, access controls, etc.\n\n7. DDoS Attacks: Overloading a network with traffic to cause a shutdown. Mitigation: Use of DDoS protection services.\n\n8. IoT Attacks: Many manufacturing devices are connected to the internet, making them vulnerable. Mitigation: Regular updates and patches for IoT devices.\n\n9. Industrial Espionage: Competitors may try to steal trade secrets. Mitigation: Use of encryption and secure communication channels.\n\n10. Data Leakage: Sensitive data can be leaked intentionally or unintentionally. Mitigation: Implement data loss prevention strategies.\n\n11. Insecure APIs: APIs can be exploited to gain unauthorized access. Mitigation: Regular security testing of APIs.\n\n12. Social Engineering: Manipulating employees into revealing sensitive information. Mitigation: Regular employee training on security awareness.\n\n13. Outdated Software: Old software may have unpatched vulnerabilities. Mitigation: Regular software updates and patches.\n\n14. Insecure Network: Unsecured networks can be exploited to gain access. Mitigation: Use of firewalls and secure network protocols.\n\n15. Mobile Device Threats: Personal devices can be a security risk if connected to the company network. Mitigation: Implement a strong BYOD (Bring Your Own Device) policy.", "metadata": null} +{"prompt": "please write me a piece of Java-Code with Java Stream to check if a list has not more than one entry. If more than one entry fire an exception. If exactly one entry, return the result. If no entry, return null.", "search_helpful": false, "source": "arena_hard", "label": "(a) In the first round:\nThere are $2^n$ players, so there are $2^n/2 = 2^{n-1}$ matches in the first round. The total number of possible pairs of players is $2^nC2 = 2^n(2^n - 1)/2$. So the probability that two players chosen at random meet in the first round is $2^{n-1}/[2^n(2^n - 1)/2] = 1/(2^n - 1)$.\n\n(b) In the final:\nThere is only one final match, so the probability that two players chosen at random meet in the final is $1/[2^n(2^n - 1)/2] = 2/(2^n(2^n - 1)) = 1/[2^{n-1}(2^n - 1)]$.\n\n(c) In any round:\nIn each round, there are $2^{n-1}$ matches, so the total number of matches in the tournament is $n2^{n-1}$. So the probability that two players chosen at random meet in any round is $n2^{n-1}/[2^n(2^n - 1)/2] = n/(2^n - 1)$.", "metadata": null} +{"prompt": "get product details such as item name, quantity, and total of this invoice ocr document:\n\n[{\"text\":\"Visma\",\"coords\":[[20,732],[20,709],[30,709],[30,732]]},{\"text\":\"Software\",\"coords\":[[20,707],[20,673],[29,673],[29,707]]},{\"text\":\"AS\",\"coords\":[[20,671],[20,661],[29,661],[29,671]]},{\"text\":\"-\",\"coords\":[[20,658],[20,655],[29,655],[29,658]]},{\"text\":\"Visma\",\"coords\":[[20,653],[20,631],[29,631],[29,653]]},{\"text\":\"Global\",\"coords\":[[20,628],[20,604],[29,604],[29,628]]},{\"text\":\"(\",\"coords\":[[20,599],[20,596],[29,596],[29,599]]},{\"text\":\"u1180013\",\"coords\":[[19,596],[19,559],[29,559],[29,596]]},{\"text\":\")\",\"coords\":[[19,558],[19,555],[28,555],[28,558]]},{\"text\":\"V\",\"coords\":[[114,88],[134,88],[134,104],[114,104]]},{\"text\":\"VINHUSET\",\"coords\":[[75,126],[174,126],[174,138],[75,138]]},{\"text\":\"Kundenr\",\"coords\":[[53,176],[102,176],[102,184],[53,184]]},{\"text\":\":\",\"coords\":[[102,176],[105,176],[105,184],[102,184]]},{\"text\":\"12118\",\"coords\":[[162,175],[192,175],[192,184],[162,184]]},{\"text\":\"Delicatessen\",\"coords\":[[53,196],[138,196],[138,206],[53,206]]},{\"text\":\"Fredrikstad\",\"coords\":[[144,196],[220,196],[220,206],[144,206]]},{\"text\":\"AS\",\"coords\":[[224,196],[243,196],[243,206],[224,206]]},{\"text\":\"Storgata\",\"coords\":[[53,219],[110,217],[110,231],[53,233]]},{\"text\":\"11\",\"coords\":[[115,218],[130,218],[130,231],[115,231]]},{\"text\":\"1607\",\"coords\":[[54,264],[87,264],[87,274],[54,274]]},{\"text\":\"25\",\"coords\":[[53,543],[66,543],[66,551],[53,551]]},{\"text\":\"FREDRIKSTAD\",\"coords\":[[134,263],[232,263],[232,274],[134,274]]},{\"text\":\"Faktura\",\"coords\":[[51,330],[142,330],[142,347],[51,347]]},{\"text\":\"Artikkelnr\",\"coords\":[[53,363],[107,363],[107,372],[53,372]]},{\"text\":\"Artikkelnavn\",\"coords\":[[124,363],[191,363],[191,372],[124,372]]},{\"text\":\"91480041\",\"coords\":[[53,389],[106,389],[106,399],[53,399]]},{\"text\":\"Predicador\",\"coords\":[[126,389],[184,389],[184,399],[126,399]]},{\"text\":\"75cl\",\"coords\":[[187,389],[209,389],[209,399],[187,399]]},{\"text\":\"91480043\",\"coords\":[[53,414],[106,414],[106,424],[53,424]]},{\"text\":\"Erre\",\"coords\":[[126,414],[148,414],[148,424],[126,424]]},{\"text\":\"de\",\"coords\":[[152,414],[164,414],[164,424],[152,424]]},{\"text\":\"Herrero\",\"coords\":[[169,414],[208,414],[208,424],[169,424]]},{\"text\":\"91480072\",\"coords\":[[54,439],[106,440],[106,450],[54,449]]},{\"text\":\"Deli\",\"coords\":[[126,440],[146,440],[146,449],[126,449]]},{\"text\":\"Cava\",\"coords\":[[149,440],[177,440],[177,449],[149,449]]},{\"text\":\"91480073\",\"coords\":[[54,467],[105,467],[105,475],[54,475]]},{\"text\":\"Garmon\",\"coords\":[[126,465],[168,466],[168,475],[126,474]]},{\"text\":\"60060221\",\"coords\":[[53,492],[106,492],[106,502],[53,502]]},{\"text\":\"Jimenez\",\"coords\":[[125,492],[169,492],[169,502],[125,502]]},{\"text\":\"-\",\"coords\":[[170,492],[173,492],[173,502],[170,502]]},{\"text\":\"Landi\",\"coords\":[[175,492],[203,492],[203,502],[175,502]]},{\"text\":\"El\",\"coords\":[[208,492],[218,492],[218,502],[208,502]]},{\"text\":\"Corralon\",\"coords\":[[222,492],[268,492],[268,502],[222,502]]},{\"text\":\"Delsammendrag\",\"coords\":[[64,516],[148,515],[148,526],[64,527]]},{\"text\":\"Vin\",\"coords\"", "search_helpful": false, "source": "arena_hard", "label": "Sure, I can help you create a simple 2D simulation of water waves in a MATLAB Live Script. However, please note that this is a simplified model and does not take into account many factors that would be present in a real-world scenario, such as the effects of water depth, temperature, or the specific characteristics of the fan. \n\nHere's a basic script that uses the wave equation to simulate the waves:\n\n```Matlab\n% Parameters\nL = 0.42; % length of the tank in meters\nW = 0.36; % width of the tank in meters\nV = 2.5; % wind speed in m/s\n\n% Grid\ndx = 0.01; % grid size\nx = 0:dx:L; % x grid\ny = 0:dx:W; % y grid\n[X,Y] = meshgrid(x,y); % 2D grid\n\n% Time\ndt = 0.01; % time step\nt = 0:dt:10; % time grid\n\n% Wave equation parameters\nc = sqrt(V); % wave speed, assuming shallow water waves\nr = c*dt/dx; % CFL number\n\n% Initialize wave height and velocity\nH = zeros(size(X)); % wave height\nU = zeros(size(X)); % wave velocity\n\n% Loop over time\nfor n = 1:length(t)\n % Update wave height\n H_new = H + dt*U;\n \n % Update wave velocity\n U_new = U + dt*c^2*(del2(H,dx));\n \n % Update variables\n H = H_new;\n U = U_new;\n \n % Plot\n surf(X,Y,H);\n title(sprintf('t = %.2f s',t(n)));\n xlabel('x (m)');\n ylabel('y (m)');\n zlabel('H (m)');\n drawnow;\nend\n```\n\nThis script initializes a grid representing the water tank, then loops over time, updating the wave height and velocity at each time step according to the wave equation. The wave height is then plotted as a surface plot. \n\nPlease note that this is a very simplified model and may not accurately represent the actual behavior of water waves generated by a fan. For a more accurate simulation, you would need to use a more complex model that takes into account the specific characteristics of the fan and the water.", "metadata": null} +{"prompt": "Could you write the kalman sequence filter for gnu octave?", "search_helpful": false, "source": "arena_hard", "label": "Running a large language model (LLM) like GPT-3 locally on a PC requires significant computational resources. The most important hardware components that will affect the number of tokens generated per second are:\n\n1. CPU: A high-end, multi-core processor is essential for running complex models. The more cores and the higher the clock speed, the better. Examples include the Intel Core i9 or AMD Ryzen 9 series.\n\n2. GPU: A powerful GPU is crucial for machine learning tasks. NVIDIA's RTX 30 series, such as the RTX 3080 or 3090, are currently among the best options. They offer high CUDA core counts and large amounts of VRAM, which are beneficial for running large models.\n\n3. RAM: Large language models require a lot of memory. 32GB of RAM is a minimum, but 64GB or more may be necessary for larger models.\n\n4. Storage: An SSD, preferably NVMe, will help with faster data access and overall performance.\n\n5. Cooling System: Running these models can generate a lot of heat, so a good cooling system is also important.\n\nRemember, running a large language model locally can be very resource-intensive and may not be feasible on most consumer-grade hardware. It's often more practical to run these models on cloud platforms that offer high-performance computing resources.", "metadata": null} +{"prompt": "can one discovery what was typed in a mechanical keyboard from the audio captured by the microphone?", "search_helpful": false, "source": "arena_hard", "label": "Creating a voxel terrain engine like Minecraft in Godot Engine using GDScript is a complex task that requires a deep understanding of 3D programming, procedural generation, and the Godot Engine itself. Here's a simplified example of how you might start creating a voxel terrain:\n\n```gd\nextends Spatial\n\nvar size = 16\nvar blocks = []\n\nfunc _ready():\n for x in range(size):\n for y in range(size):\n for z in range(size):\n var block = CubeMesh.new()\n var instance = MeshInstance.new()\n instance.mesh = block\n instance.translate(Vector3(x, y, z))\n add_child(instance)\n blocks.append(instance)\n```\n\nThis script creates a 16x16x16 grid of blocks, similar to Minecraft's chunks. However, this is a very basic example and doesn't include any sort of terrain generation, block types, or player interaction.\n\nFor a full-featured voxel engine, you would need to implement:\n\n1. Procedural terrain generation, possibly using Perlin noise or Simplex noise.\n2. Different block types with different textures and properties.\n3. Efficient rendering of large amounts of blocks. This could be done using a technique called \"greedy meshing\".\n4. Player interaction, such as placing and breaking blocks.\n5. Saving and loading of the world.\n\nCreating a voxel engine is a big project and requires a lot of time and effort. If you're interested in this, I would recommend starting with a simpler project to learn the basics of Godot and GDScript. Once you're comfortable with that, you can start working on your voxel engine.", "metadata": null} +{"prompt": "how do you flash a Corne keyboard that has VIA installed", "search_helpful": false, "source": "arena_hard", "label": "Product Design:\n\nOur product is a comprehensive digital platform, designed to streamline and enhance the sales and network marketing process. It incorporates advanced CRM (Customer Relationship Management) features, AI-driven analytics, and a robust communication system.\n\nPain Points:\n\n1. Lead Generation: One of the biggest challenges in sales and network marketing is finding and attracting potential customers. It's a time-consuming process that requires a lot of effort and resources.\n\n2. Time Management: Sales and network marketing agents often struggle with managing their time effectively. They have to juggle multiple tasks such as prospecting, following up with leads, closing deals, and maintaining customer relationships.\n\n3. Tracking and Analysis: Keeping track of sales performance and analyzing data for strategic decision-making can be complex and overwhelming.\n\nSolution:\n\n1. AI-Driven Lead Generation: Our product uses advanced AI algorithms to identify potential leads based on various factors such as online behavior, interests, and demographics. This not only saves time but also increases the chances of finding high-quality leads.\n\n2. Task Automation: The platform automates various tasks such as sending follow-up emails, scheduling meetings, and updating customer information. This allows agents to focus more on closing deals and less on administrative tasks.\n\n3. Comprehensive Tracking and Analysis: The platform provides real-time tracking of sales performance and in-depth analytics. Agents can easily monitor their progress and make data-driven decisions.\n\nProduct Names:\n\n1. SalesMaster\n2. NetworkNinja\n3. LeadLeverage\n4. SalesSage\n5. NetworkNavigator\n\nTarget Audience:\n\nThe target audience for this product is sales and network marketing agents who are looking to streamline their processes, save time, and increase their sales performance. This includes both individuals and businesses in various industries.\n\nBenefit:\n\nBy signing up now, they can take advantage of our introductory offer and get a significant discount on the subscription fee. Moreover, they can start improving their sales performance right away and gain a competitive edge in the market. The platform is easy to use and requires no technical skills, so they can start benefiting from it immediately.", "metadata": null} +{"prompt": "Write a Kotlin JNI code that add reverb effect to mic", "search_helpful": false, "source": "arena_hard", "label": "1. **Land Surveying**: This is the first step where land surveyors determine the boundaries and topography of the property. This is necessary before any construction begins to ensure the house is built within the property lines and to understand the land's characteristics.\n\n2. **Architectural Design and Planning**: Architects and engineers design the house and create blueprints. This is done early because all other steps depend on the design and plan of the house.\n\n3. **Permitting**: Before construction begins, you need to obtain necessary permits from local authorities. This is to ensure that the construction complies with local building codes and regulations.\n\n4. **Site Preparation**: This involves clearing the land, removing trees, rocks, and other obstacles. Excavators and bulldozers are often used. This is done before construction to prepare a clean and safe site.\n\n5. **Foundation Construction**: The foundation is laid by concrete workers. This is the first stage of actual construction because the rest of the house depends on a solid foundation.\n\n6. **Framing**: Carpenters construct the frame of the house, including walls, floors, and roof structure. This is done after the foundation because the frame needs a solid base to be built upon.\n\n7. **Roofing**: Roofers install the roof to protect the interior of the house from weather. This is done after framing to ensure the structure is properly covered.\n\n8. **Plumbing, Electrical, and HVAC Installation**: Plumbers, electricians, and HVAC technicians install necessary systems. This is done at this stage because these systems often go within walls and floors, which are easier to access before they're finished.\n\n9. **Insulation**: Insulation workers install insulation in the walls and roof. This is done after the major systems are installed because insulation often goes around these systems.\n\n10. **Drywall**: Drywall is installed to form the walls and ceilings. This is done after insulation to cover it and create the interior surfaces of the house.\n\n11. **Interior Finishing**: This includes installing doors, windows, and trim, painting, and installing flooring. These tasks are done after drywall because they require a finished surface to work on.\n\n12. **Cabinetry and Fixture Installation**: Carpenters and other tradespeople install cabinets, fixtures, and appliances. This is done at this stage because it requires finished floors and walls.\n\n13. **Exterior Finishing**: This includes siding, exterior painting, and finishing any exterior structures like porches or decks. This is done after the interior is finished to protect it from weather.\n\n14. **Landscaping**: Landscapers design and create outdoor spaces, plant trees and shrubs, and install outdoor features like patios and walkways. This is done last to avoid damage from construction activities.\n\n15. **Final Inspection**: A final inspection is conducted by local authorities to ensure the house meets all building codes and is safe for occupancy. This is done last because it requires the house to be fully finished.\n\nEach stage is dependent on the previous stages being completed correctly and safely. The order also helps to prevent damage to finished work and allows for easier access to the areas being worked on.", "metadata": null} +{"prompt": "Give kotlin code to create local vpnservice in android which can be used for filtering packets by destination ip address.", "search_helpful": false, "source": "arena_hard", "label": "Your code is quite understandable and well-structured. However, there are a few suggestions I would like to make to improve it:\n\n1. **Redundant Code**: The code for updating the `currIndex` and `nextIndex` is almost identical. You can create a separate function to handle this, which will make your code more DRY (Don't Repeat Yourself).\n\n2. **LED State Update**: Instead of turning off all LEDs and then turning on the current and next ones, you can just turn off the previous LED and turn on the next one. This will reduce the number of `digitalWrite` calls.\n\n3. **Interval Validation**: You are using `abs(interval)` to calculate the time for the next change. If the interval is negative, the direction of the cycle changes, but the speed remains the same. If you want the speed to change with a negative interval, you should remove the `abs()` function.\n\nHere's the updated code:\n\n```cpp\nint updateIndex(int index, int direction, int nOutPins) {\n index += direction;\n if (index < 0) {\n index = nOutPins - 1;\n } else if (index >= nOutPins) {\n index = 0;\n }\n return index;\n}\n\nvoid cycleLEDs(int interval) {\n const int nOutPins = sizeof(outPins) / sizeof(outPins[0]);\n static unsigned long lastChange = 0;\n static int currIndex = 0;\n \n if (millis() - lastChange >= abs(interval)) {\n int direction = interval < 0 ? -1 : 1;\n\n // Turn off the current LED\n digitalWrite(outPins[currIndex], LOW);\n\n // Update current index\n currIndex = updateIndex(currIndex, direction, nOutPins);\n\n // Turn on the next LED\n digitalWrite(outPins[currIndex], HIGH);\n\n lastChange = millis();\n }\n}\n```\n\nThis code is smaller, more optimized, and still maintains the same functionality.", "metadata": null} +{"prompt": "how do i get the number of unresponsive pods in a cluster using PromQL", "search_helpful": false, "source": "arena_hard", "label": "The SQL query you provided seems to have a syntax error. The correct syntax for a SQL JOIN statement is:\n\n```sql\nSELECT * FROM table1\nJOIN table2\nON table1.common_field = table2.common_field;\n```\n\nAssuming you want to join the SUBJECTS and AUTHORS tables on a common field called NAME, the correct SQL would be:\n\n```sql\nSELECT * FROM SUBJECTS\nJOIN AUTHORS\nON SUBJECTS.NAME = AUTHORS.NAME;\n```\n\nIn Datalog, this would be translated as:\n\n```datalog\n?- join(SUBJECTS, AUTHORS, NAME, X).\n```\n\nPlease note that Datalog doesn't support the exact same operations as SQL. The join operation in Datalog is implicit and happens when you use the same variable in multiple predicates. The above Datalog query assumes that you have a predicate `join` defined that performs a similar operation to SQL's JOIN.", "metadata": null} +{"prompt": "i am a senior java developer and i want create a kubernetes client library to read pod logs.\nI want use java http client and kubernetes http service to read logs", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple boilerplate for a Flask app with user registration and login functionality. This example uses Flask-SQLAlchemy for the database and Flask-Login for handling user sessions.\n\n```python\nfrom flask import Flask, render_template, redirect, url_for, request\nfrom flask_sqlalchemy import SQLAlchemy\nfrom flask_login import LoginManager, UserMixin, login_user, login_required, logout_user, current_user\nfrom werkzeug.security import generate_password_hash, check_password_hash\n\napp = Flask(__name__)\napp.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////tmp/test.db'\napp.config['SECRET_KEY'] = 'secret-key'\ndb = SQLAlchemy(app)\nlogin_manager = LoginManager()\nlogin_manager.init_app(app)\n\nclass User(UserMixin, db.Model):\n id = db.Column(db.Integer, primary_key=True)\n username = db.Column(db.String(15), unique=True)\n password = db.Column(db.String(80))\n\n@login_manager.user_loader\ndef load_user(user_id):\n return User.query.get(int(user_id))\n\n@app.route('/')\ndef home():\n return render_template('home.html')\n\n@app.route('/login', methods=['GET', 'POST'])\ndef login():\n if request.method == 'POST':\n user = User.query.filter_by(username=request.form['username']).first()\n if user:\n if check_password_hash(user.password, request.form['password']):\n login_user(user, remember=True)\n return redirect(url_for('dashboard'))\n\n return render_template('login.html')\n\n@app.route('/signup', methods=['GET', 'POST'])\ndef signup():\n if request.method == 'POST':\n hashed_password = generate_password_hash(request.form['password'], method='sha256')\n new_user = User(username=request.form['username'], password=hashed_password)\n db.session.add(new_user)\n db.session.commit()\n\n return redirect(url_for('login'))\n\n return render_template('signup.html')\n\n@app.route('/dashboard')\n@login_required\ndef dashboard():\n return render_template('dashboard.html')\n\n@app.route('/logout')\n@login_required\ndef logout():\n logout_user()\n return redirect(url_for('home'))\n\nif __name__ == '__main__':\n app.run(debug=True)\n```\n\nThis is a very basic example and doesn't include form validation or error handling. You'll also need to create the corresponding HTML templates for each route. For a production app, you'd want to add more robust user management, security, and error handling features.", "metadata": null} +{"prompt": "You are an expert Sveltekit programmer. You work on notes taking application. When a note is deleted using form actions the UI with a list of notes is not updated. Why? How to resolve this issue?", "search_helpful": false, "source": "arena_hard", "label": "Training a Vision Transformer (ViT) deep learning model in TensorFlow involves several steps. Here's a general guide:\n\n1. **Install Required Libraries**: Make sure you have TensorFlow installed. You may also need other libraries such as NumPy, Matplotlib, etc.\n\n```python\npip install tensorflow\n```\n\n2. **Import Required Libraries**: Import TensorFlow and other necessary libraries.\n\n```python\nimport tensorflow as tf\nfrom tensorflow import keras\nfrom tensorflow.keras import layers\n```\n\n3. **Prepare the Dataset**: You can use any image dataset according to your task. For example, you can use the CIFAR-10 dataset.\n\n```python\n(x_train, y_train), (x_test, y_test) = keras.datasets.cifar10.load_data()\n```\n\n4. **Preprocess the Data**: Normalize the images and convert the labels to one-hot vectors.\n\n```python\nx_train = x_train.astype(\"float32\") / 255.0\nx_test = x_test.astype(\"float32\") / 255.0\ny_train = keras.utils.to_categorical(y_train, 10)\ny_test = keras.utils.to_categorical(y_test, 10)\n```\n\n5. **Define the Vision Transformer Model**: You can use the VisionTransformer layer provided by TensorFlow. You may need to adjust the parameters according to your task and dataset.\n\n```python\ndef create_vit_classifier():\n inputs = layers.Input(shape=input_shape)\n # Create the Vision Transformer model\n vit_model = vit.vit_b32(\n image_size=image_size,\n activation=\"softmax\",\n pretrained=True,\n include_top=False,\n pretrained_top=False,\n )\n # Connect the ViT model with new classification layers\n x = vit_model(inputs)\n x = layers.Flatten()(x)\n outputs = layers.Dense(num_classes, activation=\"softmax\")(x)\n return keras.Model(inputs, outputs)\n```\n\n6. **Compile the Model**: Compile the model with the optimizer, loss function, and metrics you want to use.\n\n```python\nmodel = create_vit_classifier()\nmodel.compile(\n optimizer=keras.optimizers.Adam(),\n loss=keras.losses.CategoricalCrossentropy(),\n metrics=[keras.metrics.CategoricalAccuracy()],\n)\n```\n\n7. **Train the Model**: Train the model using the training data.\n\n```python\nmodel.fit(x_train, y_train, batch_size=64, epochs=10, validation_split=0.1)\n```\n\n8. **Evaluate the Model**: Evaluate the model using the test data.\n\n```python\nmodel.evaluate(x_test, y_test)\n```\n\nPlease note that this is a simplified example. In practice, you may need to adjust the parameters, use data augmentation, use a learning rate schedule, etc. Also, the Vision Transformer is a large model, so you may need a powerful GPU and a lot of time to train it.", "metadata": null} +{"prompt": "Write python script to create simple UI of chatbot using gradio ", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple implementation of a Kalman filter in GNU Octave:\n\n```octave\nfunction [x, P] = kalman_filter(x, P, z, Q, R, H, F)\n % Predict\n x = F*x;\n P = F*P*F' + Q;\n\n % Update\n K = P*H'/(H*P*H' + R);\n x = x + K*(z - H*x);\n P = (eye(size(P)) - K*H)*P;\nendfunction\n```\n\nThis function takes the following inputs:\n\n- `x`: The initial state estimate.\n- `P`: The initial estimate error covariance.\n- `z`: The current measurement.\n- `Q`: The process noise covariance.\n- `R`: The measurement noise covariance.\n- `H`: The measurement function.\n- `F`: The state transition model.\n\nThe function returns the updated state estimate `x` and the updated estimate error covariance `P`.\n\nPlease note that this is a very basic implementation of the Kalman filter. Depending on your specific application, you might need to modify or extend this code.", "metadata": null} +{"prompt": "Go meta: explain how AI generated an explanation of how AI LLMs work", "search_helpful": false, "source": "arena_hard", "label": "Creating a company for trading shares can indeed provide certain tax advantages, but it's important to note that tax laws are complex and vary greatly from country to country. It's always recommended to consult with a tax advisor or attorney before making such decisions. \n\nIn Germany, the most common types of companies are the GmbH (Gesellschaft mit beschr\u00e4nkter Haftung) and the AG (Aktiengesellschaft). The GmbH is similar to a limited liability company (LLC) in the US, while the AG is similar to a corporation. Both types of companies are subject to corporate income tax, trade tax, and the solidarity surcharge. \n\nIf you're considering forming a company in another country, you'll need to consider the tax laws of that country, as well as the tax implications in Germany. Germany has double taxation agreements with many countries, which can affect how your income is taxed.\n\nSome traders choose to form companies in countries with low corporate tax rates, such as Ireland or Cyprus. However, it's important to note that the German tax authorities may still tax your income if they consider you to be a tax resident of Germany.\n\nIn conclusion, the best type of company and country for you will depend on your specific circumstances and goals. It's recommended to consult with a tax advisor or attorney to understand the potential tax implications and legal requirements.", "metadata": null} +{"prompt": "Give me step by step directions on how to create a LLM from scratch. Assume that I already have basic knowledge of Python programming.", "search_helpful": false, "source": "arena_hard", "label": "1. Test Case 1: FICO = 751, N_INQ = 1 (Expected Result: Pass)\n2. Test Case 2: FICO = 750, N_INQ = 1 (Expected Result: Fail)\n3. Test Case 3: FICO = 900, N_INQ = 1 (Expected Result: Pass)\n4. Test Case 4: FICO = 901, N_INQ = 1 (Expected Result: Fail)\n5. Test Case 5: FICO = 751, N_INQ = 2 (Expected Result: Fail)\n6. Test Case 6: FICO = 751, N_INQ = 0 (Expected Result: Pass)\n7. Test Case 7: FICO = 900, N_INQ = 0 (Expected Result: Pass)\n8. Test Case 8: FICO = 900, N_INQ = 2 (Expected Result: Fail)\n9. Test Case 9: FICO = 899, N_INQ = 1 (Expected Result: Pass)\n10. Test Case 10: FICO = 752, N_INQ = 1 (Expected Result: Pass)\n11. Test Case 11: FICO = 0, N_INQ = 1 (Expected Result: Fail)\n12. Test Case 12: FICO = 751, N_INQ = -1 (Expected Result: Fail)\n13. Test Case 13: FICO = 751, N_INQ = 3 (Expected Result: Fail)\n14. Test Case 14: FICO = 899, N_INQ = 2 (Expected Result: Fail)\n15. Test Case 15: FICO = 899, N_INQ = 0 (Expected Result: Pass)\n16. Test Case 16: FICO = 752, N_INQ = 2 (Expected Result: Fail)\n17. Test Case 17: FICO = 752, N_INQ = 0 (Expected Result: Pass)\n18. Test Case 18: FICO = 0, N_INQ = 0 (Expected Result: Fail)\n19. Test Case 19: FICO = 1000, N_INQ = 1 (Expected Result: Fail)\n20. Test Case 20: FICO = 1000, N_INQ = 0 (Expected Result: Fail)", "metadata": null} +{"prompt": "Please describe the software architecture that a successful business strategy would require to introduce a new Deep Learning hardware accelerator to the market.", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple example of a GLSL shader for raycasting. This shader will create a simple raycasted scene with a single sphere.\n\nVertex Shader:\n```glsl\n#version 330 core\n\nlayout (location = 0) in vec3 aPos;\n\nvoid main()\n{\n gl_Position = vec4(aPos, 1.0);\n}\n```\n\nFragment Shader:\n```glsl\n#version 330 core\n\nout vec4 FragColor;\n\nuniform vec3 cameraPos;\nuniform vec3 spherePos;\nuniform float sphereRadius;\n\nvec3 rayDirection = normalize(spherePos - cameraPos);\n\nfloat raySphereIntersect(vec3 rayOrigin, vec3 rayDirection, vec3 sphereCenter, float sphereRadius) {\n vec3 oc = rayOrigin - sphereCenter;\n float a = dot(rayDirection, rayDirection);\n float b = 2.0 * dot(oc, rayDirection);\n float c = dot(oc, oc) - sphereRadius*sphereRadius;\n float discriminant = b*b - 4*a*c;\n if (discriminant < 0.0) {\n return -1.0;\n } else {\n return (-b - sqrt(discriminant)) / (2.0*a);\n }\n}\n\nvoid main()\n{\n float t = raySphereIntersect(cameraPos, rayDirection, spherePos, sphereRadius);\n if (t > 0.0) {\n FragColor = vec4(1.0, 0.0, 0.0, 1.0); // Red color for the sphere\n } else {\n FragColor = vec4(0.0, 0.0, 0.0, 1.0); // Black color for the background\n }\n}\n```\n\nThis is a very basic example and doesn't include any lighting or complex objects. For a more complex raycaster, you would need to implement more complex ray-object intersection tests, and possibly use a data structure like a bounding volume hierarchy to speed up the intersection tests.", "metadata": null} +{"prompt": "If a 7B parameter Transformer LLM at fp16 with batch size 1 and Sequence length is 500 tokens and bytes per token is 2 - needs 14GB VRAM, what would the VRAM requirement be if batch size is 50?\n\nThis is extremely important! Show your work. Let's work this out in a step by step way to be sure we have the right answer.", "search_helpful": false, "source": "arena_hard", "label": "To connect these two lists of data in Daiquery, you would need to find a common attribute or key between the two tables. Since the support tickets don't include a page ID, you'll need to find another way to link the FBIDs to the page IDs.\n\nHere's a general approach:\n\n1. Identify a common attribute: Look for a common attribute in both tables. This could be a user ID, a timestamp, or any other piece of data that is present in both tables.\n\n2. Join the tables: Once you've identified the common attribute, you can use it to join the two tables together. In Daiquery, you can do this using a SQL JOIN statement. For example, if the common attribute is a user ID, you could use a statement like this:\n\n```sql\nSELECT *\nFROM dim_tier1_job_final\nJOIN target_list\nON dim_tier1_job_final.userID = target_list.userID\n```\n\nThis will create a new table that includes data from both the original tables, linked by the common attribute.\n\n3. Filter the data: After joining the tables, you can filter the data to only include rows where the FBID is in the list of FBIDs from the support tickets. You can do this using a WHERE clause in your SQL statement, like this:\n\n```sql\nSELECT *\nFROM dim_tier1_job_final\nJOIN target_list\nON dim_tier1_job_final.userID = target_list.userID\nWHERE dim_tier1_job_final.FBID IN (list of FBIDs)\n```\n\nReplace \"list of FBIDs\" with the actual list of FBIDs from the support tickets.\n\nRemember, this is a general approach and might need to be adjusted based on the actual structure and content of your tables.", "metadata": null} +{"prompt": "Write a Hamiltonian for a damped oscillator described by the following equation of motion\n\t\\begin{align}\n\t\t\\ddot{x}+2\\lambda \\dot{x} + \\Omega^2 x = 0\n\t\\end{align}\nwhere $\\lambda$ and $\\Omega$ are a scalar parameters. Since the equations are not conservative, you'll want to introduce auxiliary variable", "search_helpful": false, "source": "arena_hard", "label": "The error message you're seeing is because the closure you're using can only be called once (`FnOnce`), but the context where you're using it expects a closure that can be called multiple times (`Fn`).\n\nHere's how you can fix this:\n\n1. **Make sure your closure doesn't move any values out of its environment.** The `FnOnce` trait is used when a closure moves a value out of its environment. If you're moving a value out, try to change your code so that it doesn't need to do this.\n\n2. **Use `clone` if necessary.** If your closure needs to use a value from its environment, and that value implements the `Clone` trait, you can clone it inside the closure. This way, the closure has its own copy of the value and can be called multiple times.\n\nHere's an example:\n\n```rust\nlet value = \"Hello\".to_string();\n\n// This closure can be called multiple times because it clones `value`\nlet closure = || value.clone();\n\nclosure();\nclosure();\n```\n\n3. **Use `Arc` for shared ownership.** If your value doesn't implement `Clone`, or if cloning it is expensive, you can use `Arc` (Atomic Reference Counting) to share ownership between the closure and its environment.\n\nHere's an example:\n\n```rust\nuse std::sync::Arc;\n\nlet value = Arc::new(\"Hello\".to_string());\n\n// This closure can be called multiple times because it shares ownership of `value`\nlet closure = {\n let value = Arc::clone(&value);\n move || {\n let _ = &*value;\n }\n};\n\nclosure();\nclosure();\n```\n\nRemember, the `Fn` trait is for closures that can be called multiple times without mutating their environment, `FnMut` is for closures that can be called multiple times and can mutate their environment, and `FnOnce` is for closures that can only be called once because they take ownership of their environment.", "metadata": null} +{"prompt": "Make a one line python code to get list of primes from 1 to 200 use lambda function and list comprehension", "search_helpful": false, "source": "arena_hard", "label": "To calculate the future value of a series of monthly investments with a compounded annual growth return, you can use the formula for the future value of a series of regular deposits in a compound interest account:\n\nFV = P * [(1 + r/n)^(nt) - 1] / (r/n)\n\nwhere:\n- FV is the future value of the investment\n- P is the amount deposited each period (in your case, 70,000 per month)\n- r is the annual interest rate (in your case, 12% or 0.12 as a decimal)\n- n is the number of times that interest is compounded per unit t (in your case, 12 times per year)\n- t is the time the money is invested for (in your case, 10 years)\n\nSubstituting your values into the formula:\n\nFV = 70,000 * [(1 + 0.12/12)^(12*10) - 1] / (0.12/12)\n\nAfter calculating, the future value of your investment after 10 years would be approximately 1,49,10,667. This is assuming that the interest rate remains constant over the 10 years. Please note that investing in the stock market or other securities can be risky and the rate of return can vary.", "metadata": null} +{"prompt": "I need to write a Laravel Middleware blocking users whose ip is not the array assigned inside middleware.", "search_helpful": false, "source": "arena_hard", "label": "Title: Ethical Considerations during Research and Data Analysis\n\nEthical considerations are paramount in research and data analysis. They ensure the protection of participants' rights, the integrity of the study, and the credibility of the researchers and their work. Two key ethical considerations in research and data analysis are the anonymity of data and avoiding bias.\n\n1. Anonymity of Data\n\nAnonymity in research refers to ensuring that the identities of participants cannot be linked to their responses (Bryman, 2016). This is crucial in maintaining the privacy and confidentiality of the participants. Researchers must ensure that personal identifiers are removed or altered in the data collection and analysis process. This can be achieved through various methods such as coding, using pseudonyms, or aggregating data. \n\nMoreover, data storage and sharing should also be conducted in a manner that upholds anonymity. For instance, data should be securely stored and only accessible to authorized personnel. When sharing or publishing data, researchers should ensure that the information cannot be traced back to the participants (Resnik, 2018).\n\n2. Avoiding Bias\n\nBias in research refers to systematic errors that can affect the results and conclusions of a study (Ioannidis, 2018). Bias can occur at various stages of the research process, from the formulation of research questions, selection of participants, data collection, to data analysis and interpretation.\n\nTo avoid bias, researchers should adopt rigorous research designs and methodologies. This includes using random sampling, employing validated data collection tools, and applying appropriate statistical techniques. Furthermore, researchers should be transparent about their methods and provide a clear and detailed account of their research process (Simundic, 2013).\n\nIn addition, researchers should also be aware of their own potential biases and take steps to mitigate them. This can be achieved through reflexivity, which involves reflecting on one's own beliefs, values, and experiences and how they might influence the research (Berger, 2015).\n\nIn conclusion, ethical considerations in research and data analysis are not just about adhering to rules and regulations, but also about upholding the principles of respect, integrity, and responsibility. By ensuring the anonymity of data and avoiding bias, researchers can contribute to the advancement of knowledge in a manner that is ethical and respectful of the rights and dignity of participants.\n\nReferences:\n\n- Berger, R. (2015). Now I see it, now I don\u2019t: Researcher\u2019s position and reflexivity in qualitative research. Qualitative Research, 15(2), 219-234.\n- Bryman, A. (2016). Social research methods. Oxford university press.\n- Ioannidis, J. P. (2018). The proposal to lower P value thresholds to.005. JAMA, 319(14), 1429-1430.\n- Resnik, D. B. (2018). What is ethics in research & why is it important? National Institute of Environmental Health Sciences.\n- Simundic, A. M. (2013). Bias in research. Biochemia medica: Biochemia medica, 23(1), 12-15.", "metadata": null} +{"prompt": "i have a laravel + inertia + vue app that deals with business names. users can login/register or just use the app as guests. they can add and remove names to/from a favorites list. what i need are two things: 1. a class FavoritesManager that handles adding and removing names to/from the list; when we have a logged in user they should be saved to db; when it's a guest they should be saved to the session; 2. a controller that acts as an api to connect the vue frontend to this class. p. s.: we'll deal with the frontend later, so at this point we just create the backend. here's my empty classes: \n \n \n \n\n```\n\nThis will create an illusion of a Penrose triangle, also known as an impossible triangle. However, please note that this is not a 3D object, it's a 2D representation that tricks our brain into seeing it as a 3D object.\n\nFor actual 3D graphics, you might want to look into WebGL or Three.js, which are more suited for 3D rendering in the browser.", "metadata": null} +{"prompt": "Explain the below javascript \n\nconst steps = Array.from(document.querySelectorAll(\"form .step\")); \n const nextBtn = document.querySelectorAll(\"form .next-btn\"); \n const prevBtn = document.querySelectorAll(\"form .previous-btn\"); \n const form = document.querySelector(\"form\"); \n nextBtn.forEach((button) => { \n button.addEventListener(\"click\", () => { \n changeStep(\"next\"); \n }); \n }); \n prevBtn.forEach((button) => { \n button.addEventListener(\"click\", () => { \n changeStep(\"prev\"); \n }); \n }); \n form.addEventListener(\"submit\", (e) => { \n e.preventDefault(); \n const inputs = []; \n form.querySelectorAll(\"input\").forEach((input) => { \n const { name, value } = input; \n inputs.push({ name, value }); \n }); \n console.log(inputs); \n form.reset(); \n }); \n function changeStep(btn) { \n let index = 0; \n const active = document.querySelector(\".active\"); \n index = steps.indexOf(active); \n steps[index].classList.remove(\"active\"); \n if (btn === \"next\") { \n index++; \n } else if (btn === \"prev\") { \n index--; \n } \n steps[index].classList.add(\"active\"); \n } \n", "search_helpful": false, "source": "arena_hard", "label": "This can be achieved by using a multi-tenant architecture. In a multi-tenant architecture, a single instance of a software application serves multiple customers. Each customer is called a tenant. Tenants may be given the ability to customize some parts of the application, such as the color of the user interface (UI) or business rules, but they cannot customize the application's code.\n\nHere's a simplified step-by-step guide:\n\n1. **Set up your database**: Create a single database that will serve all your websites. This database will contain all the data for all your websites.\n\n2. **Create your websites**: Each website will have its own domain and user interface, but they will all connect to the same database.\n\n3. **Configure your server**: Set up your server to route requests from each domain to the appropriate website. This can be done using a reverse proxy server like Nginx or Apache.\n\n4. **Implement tenant identification**: When a request comes in, your application needs to identify which tenant (website) it belongs to. This can be done by checking the domain of the incoming request.\n\n5. **Serve tenant-specific data**: Once the tenant is identified, your application can query the database for the data specific to that tenant and serve it to the user.\n\n6. **Customize the UI**: You can allow each tenant to customize the user interface of their website. This can be done by storing UI settings in the database and applying them when serving requests.\n\nRemember, this is a simplified guide. Implementing a multi-tenant architecture can be complex and requires careful planning and design. It's recommended to consult with a web development expert or a professional service if you're not familiar with these concepts.", "metadata": null} +{"prompt": "Fix that code so on submit click minlength and maxlength will work:\n
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\n
\n", "metadata": null} +{"prompt": "How can I log on sap from vbs?", "search_helpful": false, "source": "arena_hard", "label": "Implementing the entire TCP protocol in TypeScript would be a large task, as TCP is a complex protocol with many features. However, I can provide a basic example of how you might start to parse a TCP segment from a binary payload in a Uint8Array.\n\nHere's a simple example of how you might parse the source port, destination port, sequence number, and acknowledgment number from a TCP segment:\n\n```typescript\nclass TcpSegment {\n sourcePort: number;\n destinationPort: number;\n sequenceNumber: number;\n acknowledgmentNumber: number;\n\n constructor(data: Uint8Array) {\n this.sourcePort = (data[0] << 8) | data[1];\n this.destinationPort = (data[2] << 8) | data[3];\n this.sequenceNumber = (data[4] << 24) | (data[5] << 16) | (data[6] << 8) | data[7];\n this.acknowledgmentNumber = (data[8] << 24) | (data[9] << 16) | (data[10] << 8) | data[11];\n }\n}\n```\n\nThis is a very basic example and doesn't cover all the fields in a TCP segment, such as the data offset, flags, window size, checksum, urgent pointer, and options. It also doesn't handle any of the logic for establishing, maintaining, or closing a TCP connection. But it should give you a starting point for working with TCP in TypeScript.\n\nRemember that the TCP segment will be encapsulated in an IP packet, so you'll need to parse the IP header first to find the start of the TCP segment. Also, keep in mind that this example assumes that the data is in network byte order (big endian), and you may need to adjust it if your data is in a different byte order.", "metadata": null} +{"prompt": "How to create a entity in sap cloud application programming model?", "search_helpful": false, "source": "arena_hard", "label": "Based on your objective and the data available, here's a possible solution:\n\n1. **Data Collection and Preprocessing**: Collect all the necessary data from the Revenue data, Sales Pipeline data, and Budget data. Clean and preprocess the data to make it suitable for analysis and modeling.\n\n2. **Exploratory Data Analysis**: Understand the revenue of different products. Analyze the sales pipeline data to understand which products are not working and why deals are being lost. Also, analyze the budget data to understand which products are far from the target.\n\n3. **Modeling**: Develop a machine learning model to predict the revenue of different products based on the sales pipeline and budget data. This model can help you understand whether to concentrate on high revenue products or less revenue products.\n\n4. **Prioritizing Deals**: Use the model to prioritize deals. Deals with high predicted revenue and low risk of being lost should be prioritized.\n\n5. **Product Life Cycle Analysis**: Analyze the product life cycle data to understand at which stage most deals are being lost and why. This can help you improve your negotiation and development strategies.\n\n6. **Implementation**: Implement the strategies and models developed in the previous steps. Monitor the results and adjust the strategies as necessary.\n\n7. **Evaluation**: Evaluate the effectiveness of the strategies and models by comparing the actual revenue with the predicted revenue and the target revenue. Adjust the strategies and models as necessary based on the evaluation results.\n\n8. **Reporting**: Develop reports to communicate the results of the analysis, the effectiveness of the strategies, and the performance of the models to the stakeholders.\n\nRemember, this is a continuous process and should be repeated regularly to continuously improve the revenue of the security vertical.", "metadata": null} +{"prompt": "this is my company, called Hyre A Pro: Hyre A Pro is a platform that simplifies home improvement by connecting home owners with vetted, and verified local contractors to complete their home improvement jobs... I need you to write a blog post, with h1 h2 tags, p tags, etc, make it professional on hyre a pro, it's benefits, etc", "search_helpful": false, "source": "arena_hard", "label": "Sure, I'd be happy to help you get started with HuggingFace LanguageModels on your local machine using AutoGen. Here are the general steps:\n\n1. **Installation:**\n First, you need to install the HuggingFace transformers library. You can do this using pip:\n ```\n pip install transformers\n ```\n If you're planning to train models, you should also install the datasets library:\n ```\n pip install datasets\n ```\n\n2. **Importing the necessary modules:**\n You need to import the AutoModel and AutoTokenizer classes from the transformers module:\n ```python\n from transformers import AutoModel, AutoTokenizer\n ```\n\n3. **Loading a model and tokenizer:**\n You can use the `from_pretrained` method of the AutoModel and AutoTokenizer classes to load a model and tokenizer. For example, to load the BERT base uncased model and tokenizer, you would do:\n ```python\n model = AutoModel.from_pretrained('bert-base-uncased')\n tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')\n ```\n\n4. **Using the model and tokenizer:**\n You can now use the model and tokenizer to encode text and generate predictions. For example, to encode the text \"Hello, world!\" and generate a prediction, you would do:\n ```python\n inputs = tokenizer(\"Hello, world!\", return_tensors='pt')\n outputs = model(**inputs)\n ```\n\n5. **Interpreting the output:**\n The output of the model is a tuple. The first element of the tuple is the hidden states of the last layer of the model. The second element is the pooler output, which is a summary of the content of the text.\n\nRemember, the above steps are a general guide and might need to be adjusted based on the specific model you're using. For more detailed information, you should refer to the HuggingFace transformers documentation.", "metadata": null} +{"prompt": "You are a facilitation expert. Design a series of workshops to develop a communication strategy for a website launch. ", "search_helpful": false, "source": "arena_hard", "label": "Here's a more efficient version of your bash script:\n\n```bash\n#!/bin/bash\n\nusername_base=($(snmpwalk -v 2c -c $comm $host SNMPv2-SMI::enterprises.9.9.392.1.3.21.1.20 | awk -F\"SNMPv2-SMI::enterprises.9.9.392.1.3.21.1.20.\" '{print $2}' | awk -F\" \" '{print $1}' | sed 's#[^.]*$##'))\n\necho \"There are ${#username_base[@]} VPN users connected.\"\n\nfor username_oid in \"${username_base[@]}\"; do\n username_oid=${username_oid:0:-1}\n username_dec=$(echo $username_oid | sed 's/^[0-9]*.//' | sed 's/\\./ /g')\n username=$(for x in $username_dec; do printf \"\\\\$(printf %o \"$x\")\"; done)\n\n vpn_agent=$(snmpwalk -v 2c -c $comm $host SNMPv2-SMI::enterprises.9.9.392.1.3.21.1.18.${username_oid} | awk -F\"STRING: \" '{print $2}' | head -1)\n vpn_extip=$(snmpwalk -v 2c -c $comm $host SNMPv2-SMI::enterprises.9.9.392.1.3.21.1.10.${username_oid} | awk -F\"STRING: \" '{print $2}' | head -1)\n vpn_intip=$(snmpwalk -v 2c -c $comm $host SNMPv2-SMI::enterprises.9.9.392.1.3.21.1.8.${username_oid} | awk -F\"STRING: \" '{print $2}' | tail -1)\n\n echo \", ${vpn_extip}, ${vpn_agent}, ${vpn_intip}\"\ndone\n```\n\nThis version of the script removes the unnecessary `declare -a` command, as arrays are automatically declared when you assign values to them. It also replaces the while loop with a for loop, which is more efficient and easier to read. The `i=$(($i+1))` line is also removed, as the for loop automatically increments the index. The `username_dec` and `vpn_*` variables are now assigned using the `$(command)` syntax instead of backticks, which is more modern and easier to read.", "metadata": null} +{"prompt": "Write an SQL query to select the top 10 rows in a database and joins to 3 different table based on a field called code ", "search_helpful": false, "source": "arena_hard", "label": "As an AI, I'm unable to physically manipulate a Rubik's cube. However, I can suggest you to use an online Rubik's cube solver. You can input your current cube configuration and the solver will provide you with a step-by-step solution. Websites like \"rubiks-cube-solver.com\" or \"grubiks.com\" have such solvers.", "metadata": null} +{"prompt": "I have a database table with columns account_id, day, balance. It holds the end-of-day balances per account, so all accounts have 1 record per day, so account_id+day is UK. I'd like to copy this data into another table with columns account_id, balance, valid_from, valid_to, so if the balance is unchanged between say April 1 and April 10, there is a single row instead of 10, as in the original table. Can you write the SQL that transforms the original data into the new table?", "search_helpful": false, "source": "arena_hard", "label": "Yes, you can definitely do that in JavaScript (ES6). Here's how you can do it:\n\nFirst, you define your functions in a .js file:\n\n```javascript\n// util.js\nexport function doSomething() {\n // your code here\n}\n\nexport function doSomethingElse() {\n // your code here\n}\n```\n\nThen, you can create an object with all exported functions and export it as default:\n\n```javascript\n// util.js\nfunction doSomething() {\n // your code here\n}\n\nfunction doSomethingElse() {\n // your code here\n}\n\nconst Util = {\n doSomething,\n doSomethingElse\n}\n\nexport default Util;\n```\n\nNow, you can import `Util` in another file and use it to call your functions:\n\n```javascript\n// anotherFile.js\nimport Util from './util';\n\nUtil.doSomething();\nUtil.doSomethingElse();\n```\n\nThis way, you can call all your functions through the default export `Util`.", "metadata": null} +{"prompt": "How to sanitize inputs in argparse for Python to prevent special characters that can be used for SQL or invalid path traversals or execution?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a step-by-step guide on how to set up and use Quartz, a static site generator for Obsidian.\n\n**Step 1: Install Node.js and npm**\n\nQuartz requires Node.js and npm (Node Package Manager) to run. If you don't have them installed, you can download them from the official Node.js website (https://nodejs.org/). The npm comes bundled with Node.js.\n\n**Step 2: Install Quartz**\n\nOnce you have Node.js and npm installed, you can install Quartz. Open your terminal and run the following command:\n\n```bash\nnpm install -g quartz\n```\n\nThis command installs Quartz globally on your system.\n\n**Step 3: Initialize Quartz**\n\nNavigate to your Obsidian vault directory in the terminal. Once you're in the directory, run the following command to initialize Quartz:\n\n```bash\nquartz init\n```\n\nThis command creates a new Quartz configuration file in your vault directory.\n\n**Step 4: Configure Quartz**\n\nOpen the newly created `quartz.config.js` file in your text editor. This file contains various settings that you can customize according to your needs. For example, you can specify the title of your site, the output directory, the theme, etc.\n\n**Step 5: Build Your Site**\n\nOnce you've configured Quartz, you can build your site. Run the following command in the terminal:\n\n```bash\nquartz build\n```\n\nThis command generates a static site from your Obsidian notes and saves it in the output directory specified in the configuration file.\n\n**Step 6: Preview Your Site**\n\nYou can preview your site locally before publishing it. Run the following command in the terminal:\n\n```bash\nquartz serve\n```\n\nThis command starts a local server and opens your site in the browser.\n\n**Step 7: Publish Your Site**\n\nAfter you're satisfied with your site, you can publish it. The exact steps depend on your hosting provider. Generally, you need to upload the contents of the output directory to your web server.\n\nRemember to run `quartz build` every time you make changes to your Obsidian notes and want to update your site.\n\nThat's it! You've set up and used Quartz to publish your Obsidian notes.", "metadata": null} +{"prompt": "can you translate SQL \"SELECT * FROM SUBJECTS JOIN ON AUTHORS BY NAME\" to Datalog?\n", "search_helpful": false, "source": "arena_hard", "label": "Improving the performance of a neural network can be a complex task, as it involves tuning various hyperparameters, modifying the architecture, and sometimes even changing the data preprocessing steps. Here are some suggestions that might help you reduce the loss:\n\n1. **Learning Rate**: The learning rate is one of the most important hyperparameters to tune. If it's too high, the model might overshoot the minimum. If it's too low, the model might take too long to converge or get stuck in a local minimum. You could try using learning rate schedules that start with a high learning rate and then decrease it over time.\n\n2. **Optimizer**: You could experiment with different optimizers. While Adam is a good default choice, others like RMSprop or SGD with momentum might work better for your specific problem.\n\n3. **Regularization**: If your model is overfitting, adding some form of regularization might help. This could be L1 or L2 regularization, dropout, or early stopping.\n\n4. **Model Architecture**: You could try modifying the architecture of your model. This could mean adding more layers, changing the number of units in each layer, or even changing the type of layers (e.g., using convolutional layers instead of fully connected ones).\n\n5. **Batch Size**: You've already experimented with different batch sizes, but it might be worth trying even smaller ones. Smaller batch sizes can sometimes lead to better generalization performance.\n\n6. **Data Augmentation**: If your dataset is small, data augmentation can help improve the performance by artificially increasing the size of the training set.\n\n7. **Increase Training Time**: If your model hasn't fully converged after 10,000 iterations, training for more iterations might help.\n\n8. **Gradient Clipping**: If your model suffers from exploding gradients, gradient clipping can help keep them in a reasonable range.\n\nRemember that machine learning involves a lot of trial and error, and what works best will depend on your specific problem and dataset. It's also important to use a separate validation set to tune your hyperparameters to avoid overfitting to the training set.", "metadata": null} +{"prompt": "how can I use tailscale to securely expose a jellyfin server to the public internet?", "search_helpful": false, "source": "arena_hard", "label": "You can concatenate two GPX files using the `cat` command in Linux. However, please note that GPX files are XML files, and simply concatenating them might not result in a valid GPX file. You would need to remove the closing tags from the first file and the opening tags from the second file to make it a valid GPX file.\n\nHere's a simple way to concatenate two GPX files:\n\n1. Remove the closing tags from the first GPX file:\n\n```bash\nsed -i '$d' file1.gpx\n```\n\n2. Remove the opening tags from the second GPX file:\n\n```bash\nsed -i '1,3d' file2.gpx\n```\n\n3. Concatenate the two files:\n\n```bash\ncat file1.gpx file2.gpx > combined.gpx\n```\n\nPlease replace `file1.gpx` and `file2.gpx` with your actual file names.\n\nThis is a very basic example and might not work with all GPX files, depending on their structure. For a more robust solution, you might want to use a dedicated XML or GPX processing tool or library.", "metadata": null} +{"prompt": "Find root cause for this error:\nsshd[54785]: error: kex_exchange_identification: Connection closed by remote host", "search_helpful": false, "source": "arena_hard", "label": "Building an econometric model involves several steps, including data collection, model specification, model estimation, and model evaluation. Here's a simplified version of how you might construct this model:\n\n1. **Data Collection**: Gather historical data on the price of orange juice (dependent variable), carryover, crop size, and Brazilian imports (independent variables). The data should be as detailed as possible, ideally monthly or quarterly data over several years.\n\n2. **Model Specification**: The simplest form of the econometric model you might use is a multiple linear regression model. The general form of this model is:\n\n Y = \u03b20 + \u03b21X1 + \u03b22X2 + \u03b23X3 + \u03b5\n\n Where:\n - Y is the price of orange juice\n - X1 is the carryover\n - X2 is the crop size\n - X3 is the Brazilian imports\n - \u03b20 is the intercept\n - \u03b21, \u03b22, \u03b23 are the coefficients of the independent variables\n - \u03b5 is the error term\n\n3. **Model Estimation**: Use a statistical software package (like R, Python, Stata, or SPSS) to estimate the coefficients of the model. This is typically done using Ordinary Least Squares (OLS) regression.\n\n4. **Model Evaluation**: Check the statistical significance of the estimated coefficients (using t-tests), the overall fit of the model (using R-squared), and the assumptions of the regression model (like no multicollinearity, homoscedasticity, and normality of residuals).\n\n5. **Forecasting**: Once the model is estimated and evaluated, it can be used for forecasting. Input the values of the independent variables into the model to get the forecasted price of orange juice.\n\nPlease note that this is a simplified version of the process and actual econometric modeling can be much more complex, involving steps like testing for stationarity, cointegration, model selection criteria, and more. Also, the model assumes a linear relationship between the variables, which might not be the case in reality.", "metadata": null} +{"prompt": "Create an \"impossible triangle\" with an SVG. Make it 3d", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a general framework for structuring a prompt to an AI:\n\n1. **Context**: Start by providing a clear context. This sets the stage for the AI and helps it understand the type of response you're looking for. For example, if you're asking for a story, you might start with \"You are a storyteller narrating a fantasy tale...\"\n\n2. **Specific Task**: After setting the context, clearly define the task you want the AI to perform. Be as specific as possible. For example, \"...about a young wizard on his first adventure.\"\n\n3. **Guidelines**: If there are any specific guidelines or constraints, mention them next. For example, \"...The story should be suitable for children and not contain any violence.\"\n\n4. **Desired Output**: Finally, if there's a specific format or structure you want the output in, specify that. For example, \"...Please write the story in the third person and divide it into four parts - introduction, rising action, climax, and conclusion.\"\n\nSo, the final prompt would look like this: \"You are a storyteller narrating a fantasy tale about a young wizard on his first adventure. The story should be suitable for children and not contain any violence. Please write the story in the third person and divide it into four parts - introduction, rising action, climax, and conclusion.\"\n\nRemember, the more specific and clear you are with your instructions, the better the AI will be able to generate the desired output.", "metadata": null} +{"prompt": "Two nonhorizontal, non vertical lines in the $xy$-coordinate plane intersect to form a $45^{\\circ}$ angle. One line has slope equal to $6$ times the slope of the other line. What is the greatest possible value of the product of the slopes of the two lines?", "search_helpful": false, "source": "arena_hard", "label": "Designing a versioned SQL schema while maintaining referential integrity can be a bit complex, but it's definitely possible. Here's a basic approach you can consider:\n\n1. **Tables**: For each table in your schema, you'll need to create a corresponding version table. For example, if you have a `users` table, you'll also have a `users_version` table. The version table will have the same columns as the original table, plus additional columns for versioning.\n\n2. **Versioning Columns**: In your version tables, add the following columns:\n\n - `version_id`: This is a unique identifier for each version of a row.\n - `version_start_date`: This is the date and time when a version becomes effective.\n - `version_end_date`: This is the date and time when a version is no longer effective.\n - `current_version`: This is a boolean flag indicating whether a version is the current version.\n\n3. **Primary Keys**: In your version tables, the primary key will be a composite key consisting of the original primary key plus the `version_id`.\n\n4. **Foreign Keys**: When referencing a versioned table, you'll need to include the `version_id` in your foreign key. This ensures that you're referencing a specific version of a row, not just the current version.\n\n5. **Triggers/Procedures**: You'll need to create triggers or stored procedures to manage the versioning. When a row is inserted or updated in the original table, the trigger/procedure will create a new version in the version table. It will also update the `version_end_date` and `current_version` fields of the previous version.\n\nHere's an example schema for a `users` table and a `users_version` table:\n\n```sql\nCREATE TABLE users (\n user_id INT PRIMARY KEY,\n username VARCHAR(255),\n email VARCHAR(255)\n);\n\nCREATE TABLE users_version (\n user_id INT,\n version_id INT,\n username VARCHAR(255),\n email VARCHAR(255),\n version_start_date TIMESTAMP,\n version_end_date TIMESTAMP,\n current_version BOOLEAN,\n PRIMARY KEY (user_id, version_id),\n FOREIGN KEY (user_id) REFERENCES users(user_id)\n);\n```\n\nThis is a simplified example and you may need to adjust it based on your specific requirements. Also, remember to handle deletes appropriately in your versioning system.", "metadata": null} +{"prompt": "Allow me to use a virtual dataset called Dior. From the Dior dataset, I would like to calculate the total number of female adult customers in the time period 6-7pm in the Orchard outlet, and the average number of male adult customers across 3 time periods (10-11am, 1-2pm, 5-6pm) in the MBS outlet. I want these results in a separate table. Save these results into a CSV file called 'dior_seg.csv'. Do this in a single postgreSQL query.", "search_helpful": false, "source": "arena_hard", "label": "The function f(x) = x^3 + 3x is said to be continuous at x = -1 if for every number \u03b5 > 0 there is a number \u03b4 > 0 such that if |x - (-1)| < \u03b4 then |f(x) - f(-1)| < \u03b5.\n\nLet's start by finding f(-1):\n\nf(-1) = (-1)^3 + 3*(-1) = -1 - 3 = -4\n\nSo, we want to show that for every \u03b5 > 0, there exists a \u03b4 > 0 such that if |x - (-1)| < \u03b4 then |(x^3 + 3x) - (-4)| < \u03b5.\n\nLet's simplify the absolute value expression:\n\n|(x^3 + 3x) - (-4)| = |x^3 + 3x + 4|\n\nWe can factor this expression as |(x+1)(x^2-x+4)|. Since x is close to -1, we can bound |x+1| by some \u03b4 and |x^2-x+4| by a constant M. \n\n|x+1| < \u03b4 and |x^2-x+4| \u2264 M for x in some neighborhood of -1. \n\nWe can choose M = 6 because for x close to -1, |x^2-x+4| \u2264 6.\n\nSo, |(x+1)(x^2-x+4)| \u2264 \u03b4M = \u03b4*6.\n\nNow, we want this to be less than \u03b5, so we choose \u03b4 such that \u03b4*6 < \u03b5, which gives us \u03b4 < \u03b5/6.\n\nSo, for every \u03b5 > 0, if we choose \u03b4 = min(1, \u03b5/6), then whenever |x - (-1)| < \u03b4, we have |f(x) - f(-1)| = |(x^3 + 3x) - (-4)| < \u03b5.\n\nTherefore, by the \u03b5-\u03b4 definition of continuity, the function f(x) = x^3 + 3x is continuous at x = -1.", "metadata": null} +{"prompt": "You have a sales table with the following columns: customer_id, week, date, basket_key, sales, units. Write some SQL code that can, for every product in every week, classify customers as \"new\" or \"existing\" depending on whether they had purchased that product in the previous 6 weeks.", "search_helpful": false, "source": "arena_hard", "label": "Performing continuous delta hedging with a neural network in Python involves several steps. Here's a simplified guide to get you started:\n\n1. **Data Preparation**: You need to prepare your data. This includes historical prices, volatility, interest rates, and other relevant financial data. You can use libraries like pandas to handle your data.\n\n2. **Neural Network Creation**: You can use libraries like Keras or TensorFlow to create your neural network. The network should take as input the features of your data and output the delta of the option.\n\n3. **Training the Neural Network**: You need to train your neural network on your data. This involves feeding your data through the network, comparing the network's output to the actual delta, and adjusting the network's weights based on the error. This process is repeated many times until the network's predictions are sufficiently accurate.\n\n4. **Delta Hedging**: Once your network is trained, you can use it to perform delta hedging. This involves using the network's output (the predicted delta) to determine how many shares of the underlying asset to buy or sell in order to hedge the option.\n\nHere's a very basic example of how you might set up the neural network part using Keras:\n\n```python\nfrom keras.models import Sequential\nfrom keras.layers import Dense\n\n# Create a Sequential model\nmodel = Sequential()\n\n# Add an input layer \nmodel.add(Dense(12, input_dim=8, activation='relu'))\n\n# Add one hidden layer \nmodel.add(Dense(8, activation='relu'))\n\n# Add an output layer \nmodel.add(Dense(1, activation='sigmoid'))\n\n# Compile model\nmodel.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n```\n\nThis is a very simplified example and the actual implementation would be much more complex. You would need to carefully choose and tune your model's architecture, loss function, and optimizer, and you would need to preprocess your data appropriately.\n\nAlso, note that this is a complex task that requires a solid understanding of both finance and machine learning. If you're not already familiar with these topics, you might want to start with some simpler projects and work your way up to this.", "metadata": null} +{"prompt": "write a technical requirements specification for a diagnostic system (reader and consumable) which uses a blood sample to detect sepsis in a european hospital setting ", "search_helpful": false, "source": "arena_hard", "label": "To prove the converse of Proposition 1.2.8, we need to show that if for all \u03f5 > 0 there exists an x in S such that x > b0 - \u03f5, then b0 is the least upper bound (supremum) of S.\n\nFirst, we know that b0 is an upper bound of S by definition. We need to show that it is the least upper bound.\n\nAssume for contradiction that b0 is not the least upper bound of S. Then there exists another upper bound b1 of S such that b1 < b0.\n\nNow, let's take \u03f5 = b0 - b1 > 0 (since b1 < b0). By our assumption, there exists an x in S such that x > b0 - \u03f5 = b1. But this contradicts the fact that b1 is an upper bound of S (since x should be less than or equal to b1).\n\nTherefore, our assumption that b0 is not the least upper bound of S leads to a contradiction. Hence, b0 must be the least upper bound of S, or in other words, b0 = sup S.\n\nThis completes the proof of the converse of Proposition 1.2.8.", "metadata": null} +{"prompt": "There is a pandas DataFrame with the following columns:\nPlace, Company, month, year, earnings\n\nI want to know the best month with the most average earnings for each place and company. Give me sample code to do that. Include sample data in your code sample.", "search_helpful": false, "source": "arena_hard", "label": "As an AI, I can't physically examine a patient, but I can suggest a possible course of action based on the information provided. \n\n1. Detailed History: It's important to take a detailed history of the patient. This includes asking about the duration, frequency, and intensity of the pain, any associated symptoms like nausea, vomiting, fever, weight loss, etc. Also, inquire about any history of similar complaints in the past, any known allergies, and family history of any chronic diseases.\n\n2. Medication Review: Review the patient's use of acetaminophen and antacids. Overuse of these medications can sometimes cause stomach discomfort. \n\n3. Lifestyle and Dietary Habits: Ask about the patient's dietary habits, as certain foods can cause or exacerbate stomach and chest pain. Also, consider lifestyle factors such as stress, smoking, and alcohol consumption.\n\n4. Further Investigations: If the pain persists, further investigations may be needed. This could include blood tests, an ECG to rule out any heart-related issues causing the chest pain, and possibly an endoscopy or ultrasound to check for any abnormalities in the stomach.\n\n5. Referral: If the pain continues and no cause is found, consider referring the patient to a specialist, such as a gastroenterologist or a cardiologist, for further evaluation.\n\nRemember, it's crucial to reassure the patient and explain the possible causes and next steps in their care. It's also important to advise them to seek immediate medical attention if the pain becomes severe or is accompanied by other symptoms such as shortness of breath, severe vomiting, or blood in the stool. \n\nPlease note that this advice is intended to be general in nature, and specific causes may vary. The patient should consult with a healthcare professional for accurate information.", "metadata": null} +{"prompt": "behaving like an expert, I want you to help me design a radar that can detect a 155mm artillery shell. the radar is to be integrated in a vehicle", "search_helpful": false, "source": "arena_hard", "label": "Simulating a ballistic projectile in non-uniform gravity is a complex task that involves solving differential equations. Here's a simple Python code using the Euler method to simulate a ballistic projectile in non-uniform gravity. This code assumes that the gravity decreases linearly with altitude.\n\n```python\nimport matplotlib.pyplot as plt\nimport numpy as np\n\n# Constants\ng0 = 9.81 # gravity at sea level in m/s^2\nR = 6371e3 # Earth's radius in m\nh = 0.01 # time step in s\nv0 = 100.0 # initial velocity in m/s\nangle = 45.0 # launch angle in degrees\ny0 = 0.0 # initial altitude in m\nx0 = 0.0 # initial horizontal position in m\n\n# Convert angle to radians\nangle = np.radians(angle)\n\n# Initial conditions\nx = x0\ny = y0\nvx = v0 * np.cos(angle)\nvy = v0 * np.sin(angle)\n\n# Lists to store the trajectory\ntrajectory_x = []\ntrajectory_y = []\n\nwhile y >= 0:\n # Append current position to the trajectory\n trajectory_x.append(x)\n trajectory_y.append(y)\n\n # Update velocity and position\n g = g0 * (R / (R + y))**2 # non-uniform gravity\n vx += 0\n vy -= g * h\n x += vx * h\n y += vy * h\n\n# Plot the trajectory\nplt.figure()\nplt.plot(trajectory_x, trajectory_y)\nplt.xlabel('Distance (m)')\nplt.ylabel('Altitude (m)')\nplt.title('Projectile motion in non-uniform gravity')\nplt.grid(True)\nplt.show()\n```\n\nThis code simulates the motion of a projectile launched with an initial velocity of 100 m/s at an angle of 45 degrees. The gravity is assumed to decrease with the square of the distance from the center of the Earth. The simulation stops when the projectile hits the ground (y = 0). The trajectory of the projectile is then plotted.", "metadata": null} +{"prompt": "on the basis of this information provided write a background section of a copmplete sepcification of a patent, the invention relates to a system for detecting undercurrent faults in the heated grip application for a two wheeled vehicle without the need for a current sensor. \"Existing hardware is not having provision to sense the current to trigger under current fault.\nThe Master ECU sends a command to the Slave ECU to initiate heating of the coil. Upon receiving this command, the Slave ECU starts generating a Pulse Width Modulation (PWM) signal to heat the coil and begins reading the temperature sensor. The coil, while heating the element, consumes a significant amount of current. Ideally, there should be a direct provision from the hardware to sense the actual current consumption and provide this information to the microcontroller. Based on this information, the microcontroller can decide whether to set an undercurrent fault or not. However, in the existing hardware setup, there is no provision to sense the current. And adding this current sensing hardware into the existing product, will attract additional costs and complexities in further component arrangements of the product.\n\nThe existing solutions may use a current sensor or a shunt resistor to measure the actual current consumption of the coil and compare it with a threshold value. Based on these parameters, the undercurrent detection can be easily done. However, this solution would require additional hardware components, which would increase the cost and complexity of the system. Moreover, the current sensor or the shunt resistor could introduce noise or interference in the PWM signal, affecting the heating performance of the coil.\"", "search_helpful": false, "source": "arena_hard", "label": "In x86-64 NASM assembly, you can allocate space on the stack for your local variables using the `sub` instruction to subtract from the stack pointer (`rsp`). Here's a simple example:\n\n```asm\nsection .text\nglobal _start\n\n_start:\n ; Allocate 16 bytes on the stack for local variables\n sub rsp, 16\n\n ; Now you can use the allocated space\n ; For example, store the value 42 at the base of the allocated space\n mov [rsp], dword 42\n\n ; Don't forget to clean up the stack before you return\n add rsp, 16\n\n ; Exit\n mov eax, 60\n xor edi, edi\n syscall\n```\n\nIn this example, we're allocating 16 bytes on the stack for local variables. We then store the value 42 at the base of the allocated space. Before we return, we clean up the stack by adding 16 to `rsp`.\n\nRemember that the stack grows downwards in memory, so subtracting from `rsp` allocates space, and adding to `rsp` deallocates it. Also, keep in mind that the stack should be kept 16-byte aligned before any `call` instruction for compatibility with the System V AMD64 ABI.", "metadata": null} +{"prompt": "We run a peer support mobile application with 24 by 7 group chats open. We have a team of peer moderators that monitor and engage with members on the app. I want to create a project document to track the epic - Use NLP/Smarter Alerts to improve peer efficiency with the idea that we can use AI to raise alerts for things like here's a message that is very negative in sentiment or here's a new user posting for the first time or here's an unanswered question. I also want to define tangible metrics that we can use to track project success", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple function in Rust that converts month names into month numbers:\n\n```rust\nfn month_to_number(month: &str) -> Option {\n match month.to_lowercase().as_str() {\n \"january\" => Some(1),\n \"february\" => Some(2),\n \"march\" => Some(3),\n \"april\" => Some(4),\n \"may\" => Some(5),\n \"june\" => Some(6),\n \"july\" => Some(7),\n \"august\" => Some(8),\n \"september\" => Some(9),\n \"october\" => Some(10),\n \"november\" => Some(11),\n \"december\" => Some(12),\n _ => None,\n }\n}\n\nfn main() {\n println!(\"{}\", month_to_number(\"January\").unwrap());\n println!(\"{}\", month_to_number(\"February\").unwrap());\n println!(\"{}\", month_to_number(\"December\").unwrap());\n}\n```\n\nThis function takes a string reference as an argument and returns an `Option`. If the input string matches a month name, it returns `Some(month_number)`. If the input string does not match any month name, it returns `None`.\n\nIn the `main` function, we call `month_to_number` with different month names and print the results. The `unwrap` method is used to get the value inside the `Option`. If the `Option` is `None`, `unwrap` will cause a panic. In a real-world application, you would want to handle this case more gracefully.", "metadata": null} +{"prompt": "make a python script to sentiment analysis ", "search_helpful": false, "source": "arena_hard", "label": "In Jax, you can use the `vmap` function to get the Cartesian product of two arrays. Here's a simple example:\n\n```python\nimport jax\nimport jax.numpy as np\n\ndef cartesian_product(arr1, arr2):\n return jax.vmap(lambda x: jax.vmap(lambda y: (x, y))(arr2))(arr1)\n\narr1 = np.array([1, 2, 3])\narr2 = np.array([4, 5, 6])\n\nprint(cartesian_product(arr1, arr2))\n```\n\nThis will output:\n\n```python\n[[[1 4]\n [1 5]\n [1 6]]\n\n [[2 4]\n [2 5]\n [2 6]]\n\n [[3 4]\n [3 5]\n [3 6]]]\n```\n\nThis is a 3D array where the first dimension corresponds to elements from `arr1`, the second dimension corresponds to elements from `arr2`, and the third dimension holds the pairs.", "metadata": null} +{"prompt": "Admetting that i have word2vec model bunch of words , and that i want a program python using gensim to create vector , can you help me with creating one ?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple C program that solves the problem:\n\n```c\n#include \n\nint main() {\n int T;\n scanf(\"%d\", &T);\n while(T--) {\n int N, X;\n scanf(\"%d %d\", &N, &X);\n if(X <= N) {\n printf(\"0\\n\");\n } else {\n printf(\"%d\\n\", X - N);\n }\n }\n return 0;\n}\n```\n\nThis program works by reading the number of test cases, then for each test case it reads the number of pairs and the number of rated players. If the number of rated players is less than or equal to the number of pairs, it means that all rated players can be paired with unrated players, so it prints 0. Otherwise, it prints the number of rated players that will have to be paired with other rated players, which is the number of rated players minus the number of pairs.", "metadata": null} +{"prompt": "Have a look at below sample Sentiment dataset afetr running it thorugh a Hugging Face sentiment analysis model.\nDate\tlabel\tscore\n9/25/2023\tPOSITIVE\t0.995773256\n9/30/2023\tPOSITIVE\t0.98818934\n10/3/2023\tPOSITIVE\t0.99986887\n10/6/2023\tPOSITIVE\t0.96588254\n10/7/2023\tPOSITIVE\t0.999714911\n10/9/2023\tNEGATIVE\t0.804733217\n10/9/2023\tPOSITIVE\t0.999177039\n10/9/2023\tPOSITIVE\t0.999088049\n10/10/2023\tNEGATIVE\t0.833251178\n10/10/2023\tPOSITIVE\t0.999375165\n\nHow best to show this as visualization and what inferences should we show from this?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple example of a C++ code that reads network packets from a socket on port 888. This code uses the BSD socket API which is available on most Unix-like operating systems, including Linux and macOS.\n\n```cpp\n#include \n#include \n#include \n#include \n#include \n\n#define MAX_BUFFER_SIZE 1024\n#define PORT 888\n\nint main() {\n int sockfd;\n struct sockaddr_in servaddr, cliaddr;\n char buffer[MAX_BUFFER_SIZE];\n\n // Create socket\n if ((sockfd = socket(AF_INET, SOCK_DGRAM, 0)) < 0) {\n std::cerr << \"Socket creation failed\" << std::endl;\n return -1;\n }\n\n memset(&servaddr, 0, sizeof(servaddr));\n memset(&cliaddr, 0, sizeof(cliaddr));\n\n // Server information\n servaddr.sin_family = AF_INET;\n servaddr.sin_addr.s_addr = INADDR_ANY;\n servaddr.sin_port = htons(PORT);\n\n // Bind the socket with the server address\n if (bind(sockfd, (const struct sockaddr *)&servaddr, sizeof(servaddr)) < 0) {\n std::cerr << \"Bind failed\" << std::endl;\n return -1;\n }\n\n int len, n;\n len = sizeof(cliaddr);\n\n // Receive data\n n = recvfrom(sockfd, (char *)buffer, MAX_BUFFER_SIZE, MSG_WAITALL, (struct sockaddr *) &cliaddr, (socklen_t *)&len);\n buffer[n] = '\\0';\n std::cout << \"Client : \" << buffer << std::endl;\n\n close(sockfd);\n return 0;\n}\n```\n\nThis code creates a UDP socket, binds it to port 888, and waits for incoming packets. When a packet arrives, it reads the packet into a buffer and prints the contents of the buffer.\n\nPlease note that this is a very basic example and does not include any error checking or exception handling. In a real-world application, you would need to add appropriate error checking and handle exceptions properly. Also, this code does not handle multiple clients or concurrent connections. If you need to handle multiple clients, you would need to use threads or non-blocking I/O.", "metadata": null} +{"prompt": "I have a package, MetFamily (https://github.com/ipb-halle/MetFamily/tree/master), which is web based shiny app. the following is the list of all files in the its directory structure:\n\n [1] \"binder/install.R\" \n [2] \"binder/runtime.txt\" \n [3] \"DESCRIPTION\" \n [4] \"Dockerfile\" \n [5] \"Dockerfile-base\" \n [6] \"Dockerfile-rstudio\" \n [7] \"inst/data/showcase/Fragment_matrix_showcase.csv\" \n [8] \"inst/data/showcase/Metabolite_profile_showcase.txt\" \n [9] \"inst/data/showcase/MSMS_library_showcase.msp\" \n[10] \"inst/data/showcase/Project_file_showcase_annotated.csv.gz\" \n[11] \"inst/data/showcase/Project_file_showcase_annotated_reduced.csv.gz\"\n[12] \"inst/data/showcase/Project_file_showcase_reduced.csv.gz\" \n[13] \"inst/MetFamily/app_files/server_functionsDownloads.R\" \n[14] \"inst/MetFamily/app_files/server_functionsFilters.R\" \n[15] \"inst/MetFamily/app_files/server_functionsSelections.R\" \n[16] \"inst/MetFamily/app_files/server_functionsSerialization.R\" \n[17] \"inst/MetFamily/app_files/server_functionsTableGui.R\" \n[18] \"inst/MetFamily/app_files/server_guiAnnotation.R\" \n[19] \"inst/MetFamily/app_files/server_guiDialogs.R\" \n[20] \"inst/MetFamily/app_files/server_guiMs2plot.R\" \n[21] \"inst/MetFamily/app_files/server_guiPlotControls.R\" \n[22] \"inst/MetFamily/app_files/server_guiPlots.R\" \n[23] \"inst/MetFamily/app_files/server_guiTabAnnotation.R\" \n[24] \"inst/MetFamily/app_files/server_guiTabClassifier.R\" \n[25] \"inst/MetFamily/app_files/server_guiTabExport.R\" \n[26] \"inst/MetFamily/app_files/server_guiTabHca.R\" \n[27] \"inst/MetFamily/app_files/server_guiTabInput.R\" \n[28] \"inst/MetFamily/app_files/server_guiTabMsmsFilter.R\" \n[29] \"inst/MetFamily/app_files/server_guiTabPca.R\" \n[30] \"inst/MetFamily/app_files/server_guiTabSampleFilter.R\" \n[31] \"inst/MetFamily/app_files/server_guiTabSearch.R\" \n[32] \"inst/MetFamily/app_files/ui_rightColumn.R\" \n[33] \"inst/MetFamily/server.R\" \n[34] \"inst/MetFamily/ui.R\" \n[35] \"inst/MetFamily/version.R\" \n[36] \"inst/MetFamily/www/css/ipb-styles.css\" \n[37] \"inst/MetFamily/www/img/2013_IPB_Logo_EN.png\" \n[38] \"inst/MetFamily/www/img/2019_wch_logo_de_invertiert.png\" \n[39] \"inst/MetFamily/www/img/2020_Logo_schrift_wei\u00df_Trans_EN.png\" \n[40] \"inst/MetFamily/www/img/body-bg.png\" \n[41] \"inst/MetFamily/www/img/denbi-logo-white.svg\" \n[42] \"inst/MetFamily/www/img/Leibniz__Logo_EN_Negative_100mm.svg\" \n[43] \"inst/MetFamily/www/img/Metfamily.gif\" \n[44] \"inst/MetFamily/www/ipbfooter.html\" \n[45] \"inst/MetFamily/www/logo_ipb_en.png\" \n[46] \"LICENSE\" \n[47] \"man/startMetFamily.Rd\" \n[48] \"NAMESPACE\" \n[49] \"R/Analysis.R\" \n[50] \"R/Annotation.R\" \n[51] \"R/Classifiers.R\" \n[52] \"R/DataProcessing.R\" \n[53] \"R/FragmentMatrixFunctions.R\" \n[54] \"R/Plots.R\" \n[55] \"R/R_packages.R\" \n[56] \"R/StartApp.R\" \n[57] \"R/TreeAlgorithms.R\" \n[58] \"README.md\" \n[59] \"supervisord-rstudio.conf\" \n[60] \"supervisord.conf\" \n[61] \"tests/testthat.R\" \n[62] \"tests/testthat/test_fileinput.R\"\n\n\n\nthis is how I run the MetFamily web shiny app in the container:\n#install Docker Desktop for Windows and start it.\n#Open a command prompt or terminal window.\n#Build the MetFamily container in the directory, E:\\soft\\MetFamily-master:\ndocker build -t sneumann/metfamily .\n#Run the MetFamily container:\ndocker run -p 3838:3838 sneumann/metfamily:latest\n#Open a web browser and navigate to http://localhost:3838/\n\nI am using the following strategy to access the log of shiny app running in the container at http://localhost:3838/:\n\nI make app.R file in the package directory. the content of the app.R is:\n# app.R\nsource(\"server.R\")\nsource(\"ui.R\")\n#also copy it to inst/metfamily\n\nAlso I make an run_profvis.R file in the package directury. the content of the run_profvis.R is:: \n# run_profvis.R\nlibrary(shiny)\nlibrary(profvis)\n#\nsetwd(\"/tmp/MetFamily/inst/MetFamily\") # Set the correct path to your Shiny app directory in the container\n#\n# Define the Shiny application by sourcing both ui.R and server.R\nui <- source(\"ui.R\", local = TRUE)$value\nserver <- source(\"server.R\", local = TRUE)$value\n#\n# Wrap the Shiny app initialization in profvis\np <- profvis({\n runApp(shinyApp(ui, server))\n})\n#\n# After receiving the profvis object with the profiling results\n# Save it to a file or render the results\nsaveRDS(p, file = \"profiling_results.rds\")\n#\n# You can also use print(p) to see where most of the time is spent or,\n# If running this in an interactive R session (not via Rscript), you can use profvis's built-in viewer:\n# print(profvis::profvisOutput(p))\n#\n# Optional: if you want to automatically open the profiling results in a browser, \n# you can add this line after saving the results. Note that you need to run R in an interactive mode.\n# if(interactive()) { profvis::print(p) }\n#\n# Instruct the script to wait before exiting\n# to give some time for the app to run and be profiled\nSys.sleep(60)\n\nthan I build and run the container by following command in CMD:\ncd E:\\soft\\MetFamily-master_14122023\\MetFamily-master\ndocker build -t sneumann/metfamily .\ndocker run -p 3838:3838 sneumann/metfamily:latest\n\n\nthan I root in the containar as follows :\n#get container ID:\ndocker ps\n#access the Docker container root:\ndocker exec -it d47207e50eba /bin/bash\n#navigate to the /tmp directory\ncd /tmp\n\ntan I copy run_profvis.R to the rootID/temp (root@d47207e50eba:/tmp#) directory of the container by the following command in bash in powershell:\nPS C:\\Program Files\\Docker\\Docker> docker cp E:\\soft\\MetFamily-master_14122023\\MetFamily-master\\run_profvis.R d47207e50eba:/tmp/\n\nthan I run the run_profvis.R in the container file in bash in powershell:\nroot@d47207e50eba:/tmp# Rscript run_profvis.R\n\nmow I dont know how to see the log and the details of the running code in real time in the Metfamily shiny web which is running in container\nPlease tell me how can I get all R cods which is runing in real time in the Metfamily shiny web which is running in container?", "search_helpful": false, "source": "arena_hard", "label": "The issue you're experiencing might be due to the fact that SvelteKit doesn't automatically re-render the UI when data changes on the server side. When you delete a note, the server-side data changes, but SvelteKit doesn't know to update the UI to reflect this change.\n\nTo resolve this issue, you need to manually trigger a re-render of the UI when a note is deleted. Here's a general way to do it:\n\n1. **Use a reactive store**: SvelteKit uses a reactive paradigm, which means you can create a store that holds your notes. Whenever this store changes, SvelteKit will automatically re-render any components that use data from the store.\n\n```javascript\nimport { writable } from 'svelte/store';\n\n// Initialize the store with the initial list of notes\nexport const notes = writable([]);\n```\n\n2. **Update the store when a note is deleted**: When you delete a note, update the store to reflect this change. This will trigger a re-render of any components that use data from the store.\n\n```javascript\nimport { notes } from './store.js';\n\n// Function to delete a note\nasync function deleteNote(noteId) {\n // Delete the note on the server\n await fetch(`/api/notes/${noteId}`, { method: 'DELETE' });\n\n // Update the store\n notes.update(allNotes => allNotes.filter(note => note.id !== noteId));\n}\n```\n\n3. **Use the store in your component**: In your Svelte component, use the store to display the list of notes. Whenever the store changes, the component will automatically re-render.\n\n```svelte\n\n\n
    \n {#each $notes as note (note.id)}\n
  • {note.content}
    • \n {/each}\n
\n```\n\nRemember to replace the URLs and data manipulation according to your API and data structure.", "metadata": null} +{"prompt": "Write an R shiny app that visualises the mtcars dataset", "search_helpful": false, "source": "arena_hard", "label": "Synthesizing hydrochloric acid (HCl) in a laboratory setting involves a reaction between a chloride salt, such as sodium chloride (NaCl), and a strong acid, such as sulfuric acid (H2SO4). This process should be carried out by a trained professional in a controlled environment, as it involves hazardous materials and can produce dangerous gases. \n\nHere is a general outline of the steps:\n\n1. Safety First: Ensure you are wearing appropriate personal protective equipment (PPE), including lab coat, safety goggles, and gloves. Work in a well-ventilated area or under a fume hood to avoid inhaling any gases produced during the reaction.\n\n2. Preparation: Measure out the appropriate amounts of sodium chloride and sulfuric acid. The exact amounts will depend on the desired concentration of the final HCl solution.\n\n3. Mixing: Add the sodium chloride to a heat-resistant glass container. Then, slowly add the sulfuric acid to the sodium chloride. Never add water to acid due to the exothermic reaction.\n\n4. Reaction: The reaction will produce sodium sulfate and hydrochloric acid gas. The reaction is as follows: 2NaCl + H2SO4 -> Na2SO4 + 2HCl\n\n5. Collection: The HCl gas can be collected and dissolved in water to produce hydrochloric acid. This should be done carefully to avoid exposure to the gas.\n\n6. Storage: Store the resulting hydrochloric acid in a suitable container, properly labeled with its concentration and potential hazards.\n\nRemember, this is a simplified version of the process and it should only be carried out by trained professionals. Always follow local regulations and guidelines when handling and disposing of chemicals.", "metadata": null} +{"prompt": "Can you make a Matlab livescript simulating water waves generated by a fan in a water tank? The water tank is 0.42 m long, 0.36 m wide. The wind speed is 2.5 m/s and it blows parallel to the water over the whole tank.", "search_helpful": false, "source": "arena_hard", "label": "Project Document\n\nTitle: Use of NLP/Smarter Alerts to Improve Peer Efficiency\n\nObjective: To implement an AI-based system that can analyze user interactions and raise alerts for specific scenarios to improve the efficiency of peer moderators.\n\nScope: This project will involve the development and integration of an AI system into our existing mobile application. The AI system will use Natural Language Processing (NLP) to analyze user interactions and raise alerts for peer moderators.\n\nKey Features:\n\n1. Sentiment Analysis: The AI system will analyze the sentiment of messages and raise alerts for messages with very negative sentiments.\n\n2. New User Detection: The AI system will detect when a new user posts for the first time and alert the moderators.\n\n3. Unanswered Question Detection: The AI system will detect unanswered questions and alert the moderators.\n\nProject Timeline:\n\n1. Requirement Gathering and Analysis: 2 weeks\n2. AI System Development: 8 weeks\n3. Integration with Mobile Application: 4 weeks\n4. Testing and Deployment: 2 weeks\n\nSuccess Metrics:\n\n1. Reduction in Response Time: The time taken by moderators to respond to negative messages, new users, and unanswered questions should decrease.\n\n2. Increase in User Engagement: With quicker responses and better engagement, user activity on the app should increase.\n\n3. Increase in Moderator Efficiency: The AI system should reduce the workload of moderators, allowing them to handle more tasks.\n\n4. User Satisfaction: User satisfaction should increase as a result of quicker responses and better engagement.\n\n5. Reduction in Negative Sentiments: With quicker detection and response to negative messages, the overall sentiment of the group chats should become more positive.\n\n6. Increase in New User Retention: With immediate engagement of new users, their retention rate should increase.\n\n7. Reduction in Unanswered Questions: The number of unanswered questions should decrease significantly.\n\nThis project aims to improve the efficiency of peer moderators and enhance the user experience on our mobile application. By leveraging AI and NLP, we can ensure that our moderators are alerted to important scenarios, allowing them to respond quickly and effectively.", "metadata": null} +{"prompt": "Using python to write a function \"modularity_gain\" so that this code works: G = nx.complete_graph(6)\nm1 = nx.algorithms.community.modularity(G, [[0, 1, 2], [3, 4, 5]])\nm2 = nx.algorithms.community.modularity(G, [[0, 1], [2, 3, 4, 5]])\nnx_gain = m2 - m1\nnx_mod = nx.algorithms.community.modularity\ndel nx.algorithms.community.modularity\ntry:\n A = nx.to_numpy_array(G)\n m = G.number_of_edges()\n ee = expected_edges(A, m)\n gain = modularity_gain(A, ee, 2, [0, 1], [3, 4, 5], m)\nexcept:\n raise AssertionError('networkx modularity usage')\nfinally:\n nx.algorithms.community.modularity = nx_mod\n del nx_mod\nassert np.isclose(nx_gain, gain)", "search_helpful": false, "source": "arena_hard", "label": "FADE IN:\n\nEXT. CITY ROOFTOP - NIGHT\n\n1. AERIAL SHOT (0-3 sec)\nThe moon shines brightly over a sprawling cityscape. The camera zooms in on a rooftop where four silhouetted figures stand.\n\n2. CLOSE UP (3-5 sec)\nA close-up of the LEADER, a muscular figure with a determined look. He signals to his team, a nimble ACROBAT, a tech-savvy HACKER, and a stealthy NINJA.\n\n3. WIDE SHOT (5-8 sec)\nThe team leaps off the rooftop, diving into the city below. \n\n4. TRACKING SHOT (8-12 sec)\nThe camera follows the Acrobat as she flips and twists through the air, landing gracefully on a lower rooftop.\n\n5. POV SHOT (12-15 sec)\nFrom the Hacker's perspective, we see him deploying a drone from his backpack. The drone whirs to life and takes off.\n\n6. HIGH ANGLE SHOT (15-20 sec)\nThe Ninja, unseen in the shadows, silently takes down two GUARDS on a nearby rooftop.\n\n7. CLOSE UP (20-23 sec)\nThe Leader lands powerfully on the ground, cracking the concrete. He looks up, revealing a high-tech facility in the distance.\n\n8. MEDIUM SHOT (23-27 sec)\nThe Hacker's drone hovers above the facility, scanning the area. A digital map appears on the Hacker's wrist device.\n\n9. LOW ANGLE SHOT (27-30 sec)\nThe Acrobat leaps from her rooftop, soaring high above the city streets.\n\n10. CLOSE UP (30-32 sec)\nThe Ninja, now on the ground, pulls out a grappling hook and fires it towards the facility.\n\n11. WIDE SHOT (32-35 sec)\nThe team regroups at the base of the facility. The Leader gives a nod, and they charge forward, ready for action.\n\nFADE OUT.", "metadata": null} +{"prompt": "Help me find out how to solve a math puzzle. It's: \"How many dots you can joint down on a page while drawing lines between them, without three of them ever forming a straight line?\"", "search_helpful": false, "source": "arena_hard", "label": "This is a complex logic problem that requires a good understanding of First Order Logic (FOL) and Conjunctive Normal Form (CNF). Here's how you can approach it:\n\n1. Express Madame Irma\u2019s six statements into First Order Logic (FOL):\n\nLet's denote:\nD(x): x is a dog\nR(x): x is a rabbit\nC(x): x buys carrots by the bushel\nH(x, y): x hates y\nO(x, y): x owns y\nG(x): x is a grocery store\nCh(x, y): x chases y\nDa(x, y): x dates y\n\nThen the statements can be translated as follows:\n1. D(YOU)\n2. C(ROBIN)\n3. \u2200x\u2200y [(R(x) \u2227 O(y, x)) \u2192 H(y, Ch(YOU, x))]\n4. \u2203x [R(x) \u2227 Ch(YOU, x)]\n5. \u2200x [C(x) \u2192 (O(x, R(x)) \u2228 G(x))]\n6. \u2200x\u2200y [(H(x, y) \u2227 O(y, x)) \u2192 \u00acDa(x, y)]\n\n2. Translate the obtained expressions to Conjunctive Normal Forms (CNFs):\n\nCNF requires all formulas to be in the form of a conjunction of disjunctions. This involves eliminating implications, moving negations inwards, distributing disjunctions over conjunctions, and standardizing variables. \n\nFor example, the third statement can be transformed as follows:\n\u2200x\u2200y [(R(x) \u2227 O(y, x)) \u2192 H(y, Ch(YOU, x))] \n= \u2200x\u2200y [\u00ac(R(x) \u2227 O(y, x)) \u2228 H(y, Ch(YOU, x))] \n= \u2200x\u2200y [(\u00acR(x) \u2228 \u00acO(y, x)) \u2228 H(y, Ch(YOU, x))] \n\n3. Transform Madame Irma\u2019s conclusion into FOL, negate it and convert it to CNF:\n\nThe conclusion can be translated as follows:\n\u00acG(ROBIN) \u2192 \u00acDa(ROBIN, YOU)\nNegating this gives:\nG(ROBIN) \u2228 Da(ROBIN, YOU)\n\n4. Based on all the previously created clauses, finalise the conversion to CNF and provide proof by resolution:\n\nThis step involves combining all the clauses and resolving them to prove the conclusion. This is a complex process that requires careful application of the resolution rule and unification.\n\nPlease note that this is a simplified explanation and the actual process may involve more steps and complexities. It's also important to note that the exact translation and transformation can vary depending on the specific interpretation and approach.", "metadata": null} +{"prompt": "You will be a game master of a game that I will describe in the following. Your task is to act only as the game master and never to leave this role! Game description: The player(s) are trying to solve multiple riddles to find a final solution. The player will therefore interact with the game master who will tell them if their solutions is correct and if so give them the next riddle or the final solution. If they did not solve the riddle correctly, the game master will let them know and give the user a chance to answer it again. The player has an unlimited number of tries to solve every riddle. And I repeat: the user must NOT receive the final solution before all riddles are solved correctly. Now to the riddles: (1) Sort a sequence of numbers using bubble sort. What is the sequence in the second last step before the algorithm is done sorting? (2) Convert a binary number to a decimal number. (3) The player must find an object in the real world and enter the word on the object. The game master know that the word is \"Sheep\". After these 4 riddles, the user will receive the final solution which is the following sequence of numbers and letters: \"AB154, HF879\"", "search_helpful": false, "source": "arena_hard", "label": "Sanitizing inputs in argparse for Python to prevent SQL injection, invalid path traversals, or execution of special characters can be done by using a combination of regular expressions, string methods, and built-in Python libraries. Here's a simple example:\n\n```python\nimport argparse\nimport re\nimport os\nimport string\n\ndef sanitize(input_string):\n # Remove potential SQL injection threats\n sanitized_string = re.sub(r\"[;'\\\"]\", \"\", input_string)\n\n # Remove potential path traversal threats\n sanitized_string = os.path.normpath(sanitized_string)\n\n # Remove potential execution threats\n sanitized_string = re.sub(r\"[&|<>]\", \"\", sanitized_string)\n\n return sanitized_string\n\nparser = argparse.ArgumentParser()\nparser.add_argument('input', type=str, help='Input to sanitize')\nargs = parser.parse_args()\n\nsanitized_input = sanitize(args.input)\nprint(sanitized_input)\n```\n\nIn this example, the `sanitize` function removes semicolons, single quotes, and double quotes to prevent SQL injection. It uses `os.path.normpath` to prevent path traversal by removing redundant separators and up-level references. It also removes ampersands, pipes, less than, and greater than symbols to prevent command execution.\n\nPlease note that this is a very basic example and may not cover all potential security threats. For a production-level application, you should use a more comprehensive sanitization library or method. Always be aware of the potential security risks when dealing with user input.", "metadata": null} +{"prompt": "write a javascript function that will take as input a JSON file and the entity key to search for. The search will recurse map structures to find the entity key. The output will be the value of the key and the json key entity location in an array", "search_helpful": false, "source": "arena_hard", "label": "Extracting tables from a PDF can be a bit tricky, but Python has some libraries that can help with this task. Here's a simple example using the `tabula-py` library, which is a simple wrapper for Tabula, a Java library for extracting tables from PDFs.\n\nFirst, you need to install the necessary library. You can do this with pip:\n\n```bash\npip install tabula-py\n```\n\nHere's a simple Python script that extracts tables from a PDF:\n\n```python\nimport tabula\n\n# Path to your pdf file\nfile = \"path_to_your_pdf.pdf\"\n\n# Read the PDF into a list of DataFrame objects\ntables = tabula.read_pdf(file, pages='all')\n\n# Now 'tables' is a list of DataFrames, one for each table found in the pdf.\n# You can do what you want with them, for example write them to csv:\nfor i, table in enumerate(tables, start=1):\n table.to_csv(f'table_{i}.csv', index=False)\n```\n\nThis script will extract all tables it can find in the PDF and write each one to a separate CSV file.\n\nPlease note that the effectiveness of table extraction can greatly depend on the complexity and formatting of the tables in the PDF. Some tables might not be extracted correctly, especially if they have complex layouts or are not standard tables.", "metadata": null} +{"prompt": "How to create media entity in Drupal?", "search_helpful": false, "source": "arena_hard", "label": "Understood. Please provide me with the details of the support case.", "metadata": null} +{"prompt": "There is 3 generators with the actual power: A is 30kW, the generator B is 100kW and C is 50kW. All 3 generator needs to be equally 60kW and can't exceed 100kW. But I can only do these power switch: transfer 30kW from A to B, 10kW A to C, 20kW B to A, 20kW B to C and 10kW C to A . I can only do 3 switch.", "search_helpful": false, "source": "arena_hard", "label": "\"2buyor\" is a comprehensive mobile application designed to help users make informed purchasing decisions and achieve their financial goals. It is equipped with a range of features that provide personalized guidance, promote responsible spending habits, and offer educational resources on personal finance.\n\nOne of the key features of \"2buyor\" is its offline accessibility. This means that even without an internet connection, users can still access a locally stored database of questions and algorithms. This is particularly beneficial when you're in a store and need to make a quick decision but don't have access to the internet. The app can still provide you with the guidance you need based on the information it has stored.\n\nThe personalized questionnaire is another important feature. It generates a decision-making framework based on the user's profile and financial goals. For example, if a user's goal is to save for a house, the questionnaire will ask questions related to this goal and provide advice on how to achieve it.\n\nThe real-time decision-making process is a unique feature of \"2buyor\". The app asks contextual questions based on the user's current situation and provides immediate advice. For instance, if a user is considering buying a new car, the app might ask questions about their current car, their budget, and their long-term financial goals before providing advice.\n\nThe adaptive algorithms analyze user responses to provide increasingly personalized guidance. As the app learns more about the user's spending habits and financial goals, it can provide more tailored advice. For example, if a user consistently overspends on dining out, the app might suggest ways to cut back in this area.\n\nThe goal setting and tracking feature helps users track their progress towards financial aspirations. Users can set goals like saving for a vacation or paying off debt, and the app will track their progress and provide tips to help them reach their goals.\n\nThe purchase planning feature suggests alternative options for saving or investing money. For example, if a user is planning to buy a new TV, the app might suggest a cheaper model or advise the user to wait for a sale.\n\nThe accountability feature encourages responsible spending habits by providing feedback on the user's spending habits. If a user is consistently overspending, the app will provide tips and resources to help them get back on track.\n\nThe education and insights section offers a curated feed of articles, videos, and podcasts on personal finance education. This helps users learn more about managing their money and making informed financial decisions.\n\nThe reward system allows users to earn points or badges for making successful purchase decisions. These rewards can be used to unlock additional features or content within the app.\n\nIn conclusion, \"2buyor\" is a powerful tool for anyone looking to improve their financial health. Its ability to provide personalized guidance offline empowers users to make informed financial decisions at the point of purchase, helping them achieve their financial goals and make smarter spending decisions.", "metadata": null} +{"prompt": "How many 400 watt solar panels would it take in Michigan to produce the same amount of power in a day as a EV car which drives 40 miles a day? Assume 4 peak sun hours per day in Michigan on average and that the car uses 0.3 kWh/mile", "search_helpful": false, "source": "arena_hard", "label": "The square root of 2 plus the square root of 3 is an irrational number, which means it cannot be exactly represented as a fraction. However, we can approximate it to a rational number. \n\nOne of the best rational approximations for sqrt(2 + sqrt(3)) is 1.9318516525781366. \n\nIf you want to represent this as a fraction, it would be approximately 19318516525781366/10000000000000000, which simplifies to approximately 1931851652578137/1000000000000000. \n\nPlease note that this is an approximation and not an exact value.", "metadata": null} +{"prompt": "Help me understand the business model of Palantir. Use a detailed table", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a basic example of an Apache configuration file that sets up a reverse proxy to a Docker container running WordPress on port 8001. This configuration assumes that Apache's mod_proxy module is enabled.\n\n```apache\n\n ServerName yourdomain.com\n ServerAlias www.yourdomain.com\n\n ProxyRequests Off\n \n Order deny,allow\n Allow from all\n \n\n ProxyPass / http://localhost:8001/\n ProxyPassReverse / http://localhost:8001/\n\n ErrorLog ${APACHE_LOG_DIR}/error.log\n CustomLog ${APACHE_LOG_DIR}/access.log combined\n\n```\n\nReplace `yourdomain.com` with your actual domain name. This configuration will proxy all requests from `yourdomain.com` to `localhost:8001` where your WordPress Docker container is running.\n\nPlease note that you need to have mod_proxy and mod_proxy_http enabled in your Apache. You can enable them using the following commands:\n\n```bash\nsudo a2enmod proxy\nsudo a2enmod proxy_http\n```\n\nAfter making these changes, don't forget to restart your Apache server to apply the changes:\n\n```bash\nsudo systemctl restart apache2\n```\n\nThis is a basic configuration and might need to be adjusted based on your specific needs and environment.", "metadata": null} +{"prompt": "Please match the statement \"What type of people are not accepting our job offers?\" to one of the statements in the list below.\n\nHow valued do employees currently feel through the training opportunities that the company provides?\nWhat was the level of employee productivity in different business areas last month?\nWhat type of managers are currently driving higher productivity in the business?\nWhat types of culture do different managers create?\nAre our offers being rejected due to too low salary offers?\nHow confident are leaders about the current succession process across the company?\nHow long does it currently take to develop skills for critical job roles in different business areas?\nWhat was the cost of terminations to the company last year?\nHow does training affect absence rates in by business area?\nWhat drives terminations among HiPo and HiPe?\nWhat were the business areas HiPo and HiPe termination rates last year?\nWhat types of candidates have rejected our job offers in the last year?\nWhy different types of candidates have rejected our job offers in the last year?\nWhat is the current availability of different types of talent in the labour market?\nWhat was the impact of diversity hiring on the organisation's diversity levels in the past two years?\nWhat stages of the current recruitment process can be improved?\nWhat evidence is needed to ensure an accurate selection of new leaders in my business area?\nHow much do we currently spend on L&D across the organisation?\nHow effective are managers in my business area?\nWhat is the current total employee reward cost in different business areas?\nWhat percentage of employees in critical roles have currently a succession plan?\nWhat locations are currently having difficulty hiring certain roles?\nHow positive of an impact has hybrid working on improving DE&I at our business locations?\nHow long does it take for a new hire to become productive in my business area?\nWhat is the current retention rate of high and low potential employees in this business area?\nWhat is the total cost of recruitment?\n\nPlease provide an output table where Column A is the list of statements and Column B show the percentage likelihood that the statement match.", "search_helpful": false, "source": "arena_hard", "label": "Matrix multiplication is a fundamental operation in many areas of computer science, including graphics, physics, artificial intelligence, machine learning, and more. The standard algorithm for matrix multiplication is straightforward but not particularly efficient. It involves three nested loops and has a time complexity of O(n^3), where n is the number of rows (or columns) in the input matrices.\n\nHere's a simple pseudocode for the standard algorithm:\n\n```\nfunction matrix_multiply(A, B):\n let C be a new matrix of appropriate size\n for i from 1 to n:\n for j from 1 to n:\n for k from 1 to n:\n C[i][j] += A[i][k] * B[k][j]\n return C\n```\n\nThis algorithm can be optimized using various techniques. One of the most well-known is called Strassen's algorithm, which reduces the time complexity to approximately O(n^2.81) by dividing the input matrices into smaller matrices and recursively performing seven multiplications (instead of eight) and some additions and subtractions.\n\nAnother optimization technique is to use cache-efficient algorithms. The idea here is to take advantage of the CPU cache to speed up the multiplication process. One such algorithm is the blocked matrix multiplication, which divides the input matrices into smaller blocks that fit into the CPU cache. This reduces the number of cache misses and can significantly speed up the multiplication process.\n\nParallelization is another way to optimize matrix multiplication. If you have a multicore processor or a distributed computing system, you can perform multiple multiplications simultaneously. This can potentially reduce the time complexity to O(n^3/p), where p is the number of processors.\n\nHowever, these optimization techniques also have their limitations. Strassen's algorithm, for example, has a high constant factor and is not efficient for small matrices. It also requires additional memory for storing intermediate results. Cache-efficient algorithms depend on the specific hardware and may not be portable across different systems. Parallelization requires special hardware and software support and may not be feasible in all situations.\n\nIn conclusion, while there are various ways to optimize matrix multiplication, each has its pros and cons, and the best approach depends on the specific requirements and constraints of your application.", "metadata": null} +{"prompt": "If I am dollar cost averaging in stocks, how can I accurately measure the profit/loss?", "search_helpful": false, "source": "arena_hard", "label": "To remove a column from a dataset in SAS, you can use the DROP statement. Here's how you can modify your code to remove column A:\n\n```sas\ndata vertical3;\n\tset vertical2;\n\tformat Treatment $Drug. Effectiveness $Effective. Sex $Sex. ;\n\tdrop A;\nrun;\n```\n\nThis code will create a new dataset called `vertical3` that is identical to `vertical2`, but without column `A`. Please replace `A` with the actual name of the column you want to remove if it's not `A`.", "metadata": null} +{"prompt": "Write sql request to calculate rolling avarage stock for clickhouse table stocks with columns date, article_id, stock_a, stock_b, stock_c", "search_helpful": false, "source": "arena_hard", "label": "1. **Radiation Dosage**: The effective dose of radiation from a typical nuclear cardiology study is approximately 9 millisieverts (mSv), which is comparable to the annual background radiation exposure.\n\n2. **Radiopharmaceuticals**: Technetium-99m (Tc-99m) is the most commonly used radiopharmaceutical in nuclear cardiology due to its ideal physical properties, including a short half-life of 6 hours and low energy gamma emissions.\n\n3. **Gated SPECT**: Gated single-photon emission computed tomography (SPECT) allows for simultaneous assessment of myocardial perfusion and function, providing information about left ventricular ejection fraction (LVEF) and regional wall motion abnormalities.\n\n4. **Stress Testing**: Pharmacologic stress testing with agents such as adenosine, dipyridamole, or regadenoson is used when patients cannot exercise adequately. These agents work by dilating coronary arteries and increasing blood flow.\n\n5. **Attenuation Artifacts**: These are common in SPECT imaging and can lead to false-positive results. They are often caused by patient factors such as obesity or breast tissue.\n\n6. **PYP Scanning**: Pyrophosphate (PYP) scanning is used in the diagnosis of transthyretin cardiac amyloidosis. A positive scan shows diffuse uptake in the heart with a heart-to-contralateral lung ratio >1.5 at 1 hour.\n\n7. **Radiation Safety**: The ALARA (As Low As Reasonably Achievable) principle is key in nuclear cardiology to minimize radiation exposure to patients and staff.\n\n8. **PET Imaging**: Positron emission tomography (PET) provides higher resolution images than SPECT and allows for absolute quantification of myocardial blood flow.\n\n9. **Rubidium-82**: This is a commonly used radiotracer in PET imaging. It has a very short half-life (75 seconds), which allows for rapid imaging after stress.\n\n10. **Dual Isotope Studies**: These involve the use of two different radiotracers (usually Tc-99m and Thallium-201) in the same imaging session. This approach can improve sensitivity but increases radiation exposure.\n\n11. **Polar Maps**: These are used to display perfusion data from SPECT or PET studies in a standardized format, which can aid in the detection of coronary artery disease.\n\n12. **Viability Testing**: Nuclear cardiology techniques can assess myocardial viability in patients with ischemic cardiomyopathy. A mismatch between perfusion (using SPECT or PET) and metabolism (using PET with F-18 fluorodeoxyglucose) suggests viable myocardium.\n\n13. **Prone Imaging**: This can be used to reduce attenuation artifacts in SPECT imaging, particularly those caused by diaphragmatic attenuation.\n\n14. **Quantitative Perfusion SPECT (QPS)**: This software tool can quantify the extent and severity of perfusion defects, providing an objective measure to supplement visual analysis.\n\n15. **Radiation Biology**: The stochastic effect of radiation exposure refers to the probability of an effect (such as cancer) occurring, which increases with the dose but there is no threshold below which it cannot occur. This is in contrast to deterministic effects, which have a threshold dose and the severity increases with the dose.", "metadata": null} +{"prompt": "I'm setting up my own ubuntu server. I want to create a streamlit application in python and host it in [my i.p.]/LR -- how do I do that?", "search_helpful": false, "source": "arena_hard", "label": "Here is your code translated into proper Rust:\n\n```rust\nenum Color {\n Red,\n Green,\n Blue,\n}\n\nfn add(a: i32, b: i32) -> i32 {\n a + b\n}\n\nfn main() {\n let num = add(3, 4);\n println!(\"{}\", num);\n}\n```\n\nIn Rust, enum variants are defined with commas and the function body is enclosed in curly braces. Also, the println! macro uses {} as placeholders for variables, not {variable_name}.", "metadata": null} +{"prompt": "Can you show me how to make a streamlit app that plays videos", "search_helpful": false, "source": "arena_hard", "label": "The Hamiltonian for a damped oscillator can be written in terms of an auxiliary variable, which we'll call p. This variable is often interpreted as the momentum of the system. \n\nFirst, we rewrite the second order differential equation as a system of first order differential equations:\n\n\\begin{align}\n\\dot{x} &= p \\\\\n\\dot{p} &= -2\\lambda p - \\Omega^2 x\n\\end{align}\n\nThen, we can write the Hamiltonian H(x, p) as:\n\n\\begin{align}\nH(x, p) = \\frac{1}{2} p^2 + \\frac{1}{2} \\Omega^2 x^2\n\\end{align}\n\nThis Hamiltonian represents the total energy of the system, which is the sum of the kinetic energy (represented by the p^2 term) and the potential energy (represented by the x^2 term). The damping term -2\u03bbp in the equation for \\dot{p} represents the loss of energy due to damping. \n\nPlease note that this Hamiltonian does not include the damping term directly. This is because the Hamiltonian formalism is typically used for conservative systems, where the total energy is conserved. In a damped oscillator, the total energy is not conserved due to the energy loss from damping. However, the Hamiltonian can still provide useful information about the system's dynamics.", "metadata": null} +{"prompt": "Write a function in scheme that reverses a list of strings?", "search_helpful": false, "source": "arena_hard", "label": "Subject: Proposal for Implementing Dynamic GenAI Chatbot for Enhanced Customer Interaction\n\nDear [Client's Name],\n\nI hope this message finds you well. I am writing to propose a significant upgrade to your current customer service system. We believe that by implementing our state-of-the-art GenAI chatbot, we can revolutionize your customer interaction process, making it more efficient, personalized, and dynamic.\n\n1. Introduction:\n\nOur GenAI chatbot is a cutting-edge technology that uses machine learning and natural language processing to understand and respond to customer queries in real-time. Unlike traditional hardcoded static chatbots, our GenAI chatbot learns and evolves over time, providing a more personalized and human-like interaction for your customers.\n\n2. Benefits:\n\n a. Enhanced Customer Experience: Our GenAI chatbot can understand and respond to complex queries, providing accurate and instant responses. This reduces customer wait time and enhances their overall experience.\n\n b. 24/7 Availability: The chatbot is available round the clock, ensuring that your customers receive assistance whenever they need it.\n\n c. Cost-Effective: By automating routine queries, the chatbot reduces the workload on your customer service team, allowing them to focus on more complex issues. This can significantly reduce your operational costs.\n\n d. Scalability: Our GenAI chatbot can handle multiple queries simultaneously, allowing you to scale your customer service without additional manpower.\n\n e. Continuous Learning: The chatbot learns from each interaction, improving its responses over time. This ensures that your customer service improves continuously.\n\n3. Implementation:\n\nWe propose a phased implementation of the GenAI chatbot. In the first phase, we will integrate the chatbot with your existing customer service system. In the second phase, we will train the chatbot using historical customer interaction data. In the final phase, we will launch the chatbot and monitor its performance, making necessary adjustments for optimal performance.\n\n4. Pricing:\n\nThe cost of implementing the GenAI chatbot will depend on the complexity of your customer service system and the amount of data to be processed. We assure you that our pricing is competitive and provides excellent value for money.\n\nWe are confident that our GenAI chatbot can significantly enhance your customer service and provide a substantial return on investment. We look forward to discussing this proposal further and answering any questions you may have.\n\nBest Regards,\n\n[Your Name]\n[Your Position]\n[Your Contact Information]", "metadata": null} +{"prompt": "How to write a program in the programming language Gambit Scheme (which is a specific scheme dialect) that reads lines from standard in, reverses the lines, and prints out the modified lines to standard out. Please only provide valid Gambit Scheme code. You can use the Gambit Scheme online manual as a reference.", "search_helpful": false, "source": "arena_hard", "label": "Estimating machine capacity planning in the presence of unknowns such as process times and investment availability can be challenging, but it's not impossible. Here's a general approach:\n\n1. **Historical Data**: Use historical data if available. Past performance of similar machines or processes can provide a good starting point for estimating process times and capacity needs.\n\n2. **Benchmarking**: Compare with similar industries or processes. This can provide a rough estimate of the process times and the investment needed.\n\n3. **Pilot Studies**: Conduct pilot studies or small-scale tests to gather data on process times and capacity needs.\n\n4. **Expert Opinion**: Consult with experts who have experience in similar situations. They can provide valuable insights and estimates based on their experience.\n\n5. **Simulation**: Use simulation software to model the process and estimate the capacity needs and process times.\n\nOnce you have made these estimates, you can communicate the uncertainty in your assumptions as a range or a confidence interval. For example, you might say that you are 95% confident that the process time will be between 10 and 12 hours, or that the investment needed will be between $100,000 and $150,000. This gives a clear indication of the level of uncertainty in your estimates.\n\nIn addition, you can perform a sensitivity analysis to see how changes in your assumptions would affect the results. This can help to identify which assumptions have the biggest impact on the results and where more accurate estimates would be most beneficial.", "metadata": null} +{"prompt": "modify below code and make ends 1 milisecond ealier than read from srt\n\nimport re\nimport subprocess\n\ndef burn_subtitles(video_path, ass_subtitle_path, output_video_path):\n command = [\n 'ffmpeg',\n '-i', video_path, # Input video file\n '-vf', f\"subtitles={ass_subtitle_path}\", # Correct filter for subtitles\n '-c:a', 'copy', # Copy audio stream without re-encoding\n output_video_path # Output video file\n ]\n subprocess.run(command)\n\nimport re\n\nimport re\n\nimport re\n\ndef convert_srt_to_ass(srt_content):\n # ASS header\n ass_header = (\n \"[Script Info]\\n\"\n \"ScriptType: v4.00+\\n\"\n \"PlayResX: 384\\n\"\n \"PlayResY: 288\\n\\n\"\n \"[V4+ Styles]\\n\"\n \"Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding\\n\"\n \"Style: Default,Arial,16,&H00FFFFFF,&H0000FF00,&H00000000,&H00000000,0,0,0,0,100,100,0,0,1,1,0,2,10,10,10,1\\n\\n\"\n \"[Events]\\n\"\n \"Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text\\n\"\n )\n\n ass_content = ass_header\n # Adjust regex to properly capture subtitle number, start time, end time, and text\n matches = list(re.finditer(r'(\\d+)\\n(\\d{2}:\\d{2}:\\d{2},\\d{3}) --> (\\d{2}:\\d{2}:\\d{2},\\d{3})\\n(.+?)\\n\\n', srt_content, re.DOTALL))\n\n prev_end = \"00:00:00.000\"\n \n for i, match in enumerate(matches):\n start, end, text = match.group(2), match.group(3), match.group(4)\n start = start.replace(',', '.')\n end = end.replace(',', '.')\n\n # Calculate the correct start time to ensure no overlap\n if start <= prev_end:\n start = prev_end\n\n # Update prev_end to the end time of the current subtitle\n prev_end = end\n \n # Change color of currently spoken word (to green in this example)\n text = text.replace('', '{\\\\c&H00FF00&}').replace('', '{\\\\c&HFFFFFF&}')\n text = text.replace('\\n', '\\\\N') # Convert newlines within text for ASS format\n ass_content += f\"Dialogue: 0,{start},{end},Default,,0,0,0,,{text}\\n\"\n\n return ass_content\n\n\n\n\n\n\n\n\nsrt_file_path = 'a.srt' # Replace with the correct path to the SRT file\n\n# Read the SRT file content\nwith open(srt_file_path, 'r', encoding='utf-8') as file:\n srt_content = file.read()\n\n# Convert SRT to ASS\nass_content = convert_srt_to_ass(srt_content)\n\n# Write the ASS content to a file\nass_file_path = 'a.ass'\nwith open(ass_file_path, 'w') as file:\n file.write(ass_content)\n\n# Burn the subtitles onto the video\nburn_subtitles('b.mp4', ass_file_path, 'c2.mp4')\n", "search_helpful": false, "source": "arena_hard", "label": "Alright, let's start the game! Here is your first riddle:\n\nSort a sequence of numbers using bubble sort. What is the sequence in the second last step before the algorithm is done sorting? Please provide the initial sequence of numbers for me to work with.", "metadata": null} +{"prompt": "please rewrite this bash script in perl, keeping the same functionality (reading arguments passed to the script), and also calling the same executables like the original (ffmpeg, rm, av1an)\n\n#!/bin/bash\nset -euo pipefail\n\nDIR=\"$(dirname -- \"$(readlink -f -- \"$0\")\")\"\nsource \"$DIR/../video.sh\"\n\n# Initialize variables with default values\nquality=\"\"\npreset=\"\"\nresize=\"\"\nnoise=\"\"\ninput_file=\"\"\n\n# Loop through the command-line arguments\nwhile [[ $# -gt 0 ]]; do\n case $1 in\n -q | --quality)\n quality=\"$2\"\n shift 2\n ;;\n -p | --preset)\n preset=\"$2\"\n shift 2\n ;;\n -r | --resize)\n resize=\"$2\"\n shift 2\n ;;\n -n | --noise)\n noise=\"$2\"\n shift 2\n ;;\n *)\n input_file=\"$1\"\n shift\n ;;\n esac\ndone\n\nif [[ ! -f \"$input_file\" ]]; then\n echo \"FILE NOT FOUND: $input_file\"\nfi\n\n# Check for required arguments\nif [[ -z $quality ]] || [[ -z $preset ]] || [[ -z $input_file ]]; then\n echo \"Usage: $0 -q|--quality -p|--preset [-n|--noise ] [-r|--resize ] \"\n exit 1\nfi\n\nfile_path=$(readlink -f \"$input_file\")\nfile_name=$(get-filename \"$file_path\")\n\nchunk_method=\"ffms2\"\n\noutput_name=\"${file_name}.reencode.av1an.aom.rf${quality}.p${preset}\"\nmetadata_comment=\"reencoded with av1an(aom), 10-bit, cpu-used=${preset}, cq=${quality}, chunk-method=$chunk_method\"\n\nif [ -n \"$noise\" ]; then\n output_name+=\".noise${noise}\"\nelse\n noise=10\nfi\n\nif [ -n \"$resize\" ]; then\n output_name+=\".${resize}p\"\nfi\n\n# Supposedtly to work without L-SMASH:\n# av1an -i \"input\" -y --resume --verbose --split-method av-scenechange -m hybrid -c mkvmerge -e rav1e --force -v \" --tiles 8 -s 4 --quantizer 80 --no-scene-detection\" --photon-noise 7 --chroma-noise --pix-format yuv420p10le -w 8 -o \"output.mkv\"\n\n# --disable-kf --enable-fwd-kf=0 We're disabling keyframes cause Av1an already did scene detection, so we wont have to.. And it speeds things up.\n# --kf-max-dist=9999 Maximum keyframe interval, we're setting it at the highest possible value since av1an's scene detection keyframe interval is already 240 by default\n# --enable-chroma-deltaq=1 --enable-qm=1 --quant-b-adapt=1 Parameters that give you free efficiency boost, ignore it.\n\n# --ffmpeg \"-vf 'scale=-1:720'\" \\\n# --concat mkvmerge --chunk-method ffms2 \\\n\n# --workers 4 --set-thread-affinity=2 \\ #does not seem to work on OSX, remember to also set --threads of the --video params to the same value as thread affinity\n# --photon-noise=10 \\ # for grain synthesis\n# --chunk-method lsmash\n# --sc-method fast --sc-downscale-height 320 \\\n\nulimit -n 2048\n\nthreads=2\n\nav1an --verbose \\\n -i \"$file_path\" \\\n --encoder aom \\\n --workers 4 \\\n --resume \\\n --extra-split 300 \\\n --ignore-frame-mismatch \\\n --audio-params \" -an \" \\\n --ffmpeg \" -an $([[ -n \"$resize\" ]] && echo \" -vf 'scale=-1:${resize}'\")\" \\\n --split-method av-scenechange --chunk-method $chunk_method --concat mkvmerge \\\n --set-thread-affinity=\"$threads\" \\\n --photon-noise=\"$noise\" \\\n --video-params \" \\\n --bit-depth=10 \\\n --threads=$threads \\\n --end-usage=q --cq-level=$quality --cpu-used=$preset \\\n --tile-columns=0 --tile-rows=0 \\\n --tune-content=psy --tune=ssim \\\n --lag-in-frames=64 \\\n --enable-keyframe-filtering=1 --disable-kf --kf-max-dist=9999 \\\n --enable-qm=1 --deltaq-mode=0 --aq-mode=0 --quant-b-adapt=1 \\\n --enable-fwd-kf=0 --arnr-strength=4 --sb-size=dynamic --enable-dnl-denoising=0 \\\n \" \\\n -o \"${output_name}.audioless.mkv\"\n\n# put the audio back and convert to mp4\nffmpeg -loglevel warning -hide_banner \\\n -i \"${output_name}.audioless.mkv\" -i \"$file_path\" \\\n -c copy -map 0:v -map 1:a \\\n -metadata comment=\"$metadata_comment\" \\\n \"${output_name}.mp4\"\n\nrm -rf \"${output_name}.audioless.mkv\"\n\necho -e \"\\n\\n\"\nexa -al --color=always --no-permissions --no-user --time-style=long-iso \"$input_file\" \"${output_name}.mp4\"\n\necho \"\"\necho \"video-compare \\\"$input_file\\\" \\\"${output_name}.mp4\\\"\"\n\necho -e \"\\n\u2705 FINISHED\"\n", "search_helpful": false, "source": "arena_hard", "label": "**Microsoft M365 Consultancy Service Catalogue**\n\n1. **Data Management and Consultancy Services**\n - **Data Audits**: Comprehensive review of your data management practices, ensuring compliance with data protection regulations and identifying areas for improvement.\n - **Data Roadmaps**: Development of strategic plans for data management, including data collection, storage, analysis, and security.\n - **Data Advice**: Expert guidance on best practices for data management, including data governance, data quality, and data architecture.\n - **Data Technologies**: Exploration of cutting-edge technologies in the M365 ecosystem, such as Azure Data Lake, Power BI, and Azure Synapse Analytics.\n\n2. **Automation Services**\n - **Automation Audits**: Evaluation of your current automation processes, identifying inefficiencies and opportunities for improvement.\n - **Automation Roadmaps**: Creation of strategic plans for implementing automation technologies, including Power Automate and Azure Logic Apps.\n - **Automation Advice**: Expert guidance on best practices for automation, including process automation, robotic process automation (RPA), and AI-powered automation.\n - **Automation Technologies**: Exploration of the latest automation technologies in the M365 ecosystem and beyond.\n\n3. **Artificial Intelligence (AI) Services**\n - **AI Audits**: Assessment of your current AI capabilities, identifying gaps and opportunities for growth.\n - **AI Roadmaps**: Development of strategic plans for implementing AI technologies, including Azure AI, Power Virtual Agents, and Azure Bot Service.\n - **AI Advice**: Expert guidance on best practices for AI, including machine learning, natural language processing, and predictive analytics.\n - **AI Technologies**: Exploration of the latest AI technologies in the M365 ecosystem and beyond.\n\n4. **Microsoft M365 Consultancy Services**\n - **M365 Audits**: Comprehensive review of your M365 deployment, identifying areas for optimization and improvement.\n - **M365 Roadmaps**: Development of strategic plans for maximizing the value of your M365 investment.\n - **M365 Advice**: Expert guidance on best practices for M365, including Teams, SharePoint, and OneDrive.\n - **M365 Technologies**: Exploration of the latest features and capabilities in the M365 ecosystem.\n\n5. **Emerging Technologies Consultancy Services**\n - **Technology Audits**: Assessment of your current technology stack, identifying gaps and opportunities for innovation.\n - **Technology Roadmaps**: Development of strategic plans for implementing emerging technologies, such as blockchain, IoT, and quantum computing.\n - **Technology Advice**: Expert guidance on best practices for leveraging emerging technologies.\n - **Technology Exploration**: Exploration of the latest technologies beyond the M365 ecosystem.\n\nOur consultancy services are designed to help you navigate the complex landscape of data, automation, AI, and emerging technologies, leveraging the power of the M365 ecosystem and beyond to drive business growth and innovation.", "metadata": null} +{"prompt": "In Swift, how can I write pattern-matching with conditionals?", "search_helpful": false, "source": "arena_hard", "label": "{\nNumber = \"1\",\nQuestion = \"Technical Environment/Business Problem: You are working in a software development company that uses Agile methodology for project management. Goal Statement: You need to identify the most suitable tool for tracking the progress of your project. Question Sentence: Which tool should you use?\",\nDistractors = [\"Microsoft Excel\", \"Adobe Photoshop\", \"Oracle Database\"],\nCorrect_Answers = [\"JIRA\"],\nCorrect_Reasoning = [\"JIRA is a project management tool designed for Agile teams to plan, track, and release software. It is not a spreadsheet, a graphic design tool, or a database system.\"]\n}\n\n{\nNumber = \"2\",\nQuestion = \"Technical Environment/Business Problem: You are a network administrator in a large corporation with multiple branches across the country. Goal Statement: You need to ensure secure and reliable communication between the branches. Question Sentence: Which technology should you implement?\",\nDistractors = [\"Public Internet\", \"Dial-up connection\", \"Satellite communication\"],\nCorrect_Answers = [\"Virtual Private Network (VPN)\"],\nCorrect_Reasoning = [\"A VPN creates a secure, encrypted connection over a less secure network, such as the public internet. It is more secure and reliable than the other options.\"]\n}\n\n{\nNumber = \"3\",\nQuestion = \"Technical Environment/Business Problem: You are a database administrator in a financial institution that handles large volumes of sensitive data. Goal Statement: You need to ensure data integrity and prevent unauthorized access. Question Sentence: What should you do?\",\nDistractors = [\"Implement a firewall\", \"Use antivirus software\", \"Regularly update the operating system\"],\nCorrect_Answers = [\"Implement database encryption\"],\nCorrect_Reasoning = [\"Database encryption is a security measure that protects data from unauthorized access. It is more specific to the task of a database administrator than the other options.\"]\n}\n\n{\nNumber = \"4\",\nQuestion = \"Technical Environment/Business Problem: You are a software developer in a tech startup that develops mobile applications. Goal Statement: You need to choose a programming language that allows for rapid development and easy maintenance. Question Sentence: Which programming language should you use?\",\nDistractors = [\"C\", \"C++\", \"Java\"],\nCorrect_Answers = [\"Python\"],\nCorrect_Reasoning = [\"Python is known for its simplicity and readability, which makes it suitable for rapid development and easy maintenance. The other options are more complex and less suitable for this purpose.\"]\n}\n\n{\nNumber = \"5\",\nQuestion = \"Technical Environment/Business Problem: You are a system administrator in a company that uses cloud-based services. Goal Statement: You need to ensure high availability and fault tolerance for your services. Question Sentence: What should you do?\",\nDistractors = [\"Use a single cloud provider\", \"Store data on local servers\", \"Regularly update the operating system\"],\nCorrect_Answers = [\"Implement a multi-cloud strategy\"],\nCorrect_Reasoning = [\"A multi-cloud strategy involves using more than one cloud service provider, which increases availability and fault tolerance. The other options do not directly address these requirements.\"]\n}", "metadata": null} +{"prompt": "Write a recursive javascript function that retries a request 3 times before it resolves the promise. Do not use await", "search_helpful": false, "source": "arena_hard", "label": "The error message is indicating that there is a syntax error in your SQL query. The issue is that you are missing a space at the end of the first line of your SQL query. Without this space, the SQL interpreter is reading \"permissionsON\" as one word, which is causing the syntax error.\n\nHere is the corrected code:\n\n```python\n# Fetch authorized users for the given device\ncursor.execute(\n \"SELECT users.key FROM users INNER JOIN permissions \"\n \"ON users.key = permissions.user_key WHERE permissions.device_id = ?\",\n (device_id,),\n)\nauthorized_users = [row[0] for row in cursor.fetchall()]\n```\n\nIn this corrected code, there is a space after \"permissions\" and before the closing quote on the first line of the SQL query. This ensures that \"permissions\" and \"ON\" are correctly interpreted as separate words.", "metadata": null} +{"prompt": "Problem with ugrade symfony 4 to 5: Root composer.json requires symfony/security 5.0.*, found symfony/security[2.0.4, ..., 2.8.x-dev, v3.0.0-BETA1, ..., 3.4.x-dev, v4.0.0-BETA1, ..., 4.4.x-dev] but it does not match the constraint.", "search_helpful": false, "source": "arena_hard", "label": "Character Name: Ryu Hayabusa\n\nRace: Human\n\nClass: Monk (Way of the Shadow)\n\nBackground: Outlander\n\nAlignment: Lawful Good\n\nStrength: 16 (+3)\n\nDexterity: 18 (+4)\n\nConstitution: 14 (+2)\n\nIntelligence: 12 (+1)\n\nWisdom: 15 (+2)\n\nCharisma: 10 (+0)\n\nProficiencies: Stealth, Acrobatics, Survival, Athletics\n\nLanguages: Common, Draconic (equivalent to Ninja Gaiden's \"Dragon Language\")\n\nEquipment: A katana (equivalent to a longsword), a shortbow with 20 arrows, an explorer's pack, a set of traveler's clothes, a trophy from an enemy (a piece of a fiend's horn), and a pouch containing 10 gp.\n\nSkills: \n- Unarmored Defense: While he is not wearing any armor, his Armor Class equals 10 + his Dexterity modifier + his Wisdom modifier.\n- Martial Arts: He can use Dexterity instead of Strength for the attack and damage rolls of his unarmed strikes and monk weapons.\n- Ki: He has a number of ki points, which allow him to perform special actions, such as Flurry of Blows, Patient Defense, and Step of the Wind.\n- Shadow Arts: He can use his ki to duplicate certain spells, such as Darkness, Darkvision, Pass without Trace, or Silence.\n\nBackstory: Ryu Hayabusa hails from the Dragon Clan, a lineage of warriors who have protected the world from a great evil for generations. Trained in the art of the shadow, he is a master of stealth and combat. He is on a quest to retrieve the stolen Dragon Sword, a sacred relic of his clan, and to defeat the evil forces that threaten his world. Despite his lethal skills, Ryu is a man of honor and discipline, always striving to use his abilities for the greater good.", "metadata": null} +{"prompt": "What is a way that I can have multiple websites point to different domains, but they are actually served from the same database and just provide a different user interface template?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a JavaScript function that will recursively search through a JSON object for a specific key and return its value and location:\n\n```javascript\nfunction findKeyInJson(jsonObj, keyToFind) {\n let result = [];\n\n function recursiveSearch(jsonObj, keyToFind, path = []) {\n if (jsonObj && typeof jsonObj === 'object') {\n for (let key in jsonObj) {\n if (jsonObj.hasOwnProperty(key)) {\n let newPath = path.slice();\n newPath.push(key);\n if (key === keyToFind) {\n result.push({value: jsonObj[key], path: newPath});\n }\n if (typeof jsonObj[key] === 'object') {\n recursiveSearch(jsonObj[key], keyToFind, newPath);\n }\n }\n }\n }\n }\n\n recursiveSearch(jsonObj, keyToFind);\n return result;\n}\n```\n\nThis function will return an array of objects, where each object contains the value of the found key and the path to it in the JSON structure. The path is represented as an array of keys. If the key is not found, the function will return an empty array.\n\nYou can use this function like this:\n\n```javascript\nlet json = {\n a: 1,\n b: {\n c: 2,\n d: {\n e: 3\n }\n }\n};\n\nconsole.log(findKeyInJson(json, 'e'));\n```\n\nThis will output:\n\n```javascript\n[ { value: 3, path: [ 'b', 'd', 'e' ] } ]\n```\n\nThis means that the key 'e' was found with the value 3, and the path to it in the JSON structure is 'b' -> 'd' -> 'e'.", "metadata": null} +{"prompt": "Show me code that for QTextEdit (pyside6) retrieves: current selection (as plain text) and cursor position before the selection", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a basic Python script that uses the `python-qbittorrent` library to connect to a qBittorrent client and remove a specified tracker from all torrents. Please replace `http://localhost:8080`, `admin`, `adminadmin`, and `tracker_to_remove` with your actual qBittorrent web UI address, username, password, and the tracker you want to remove respectively.\n\n```python\nfrom qbittorrent import Client\n\n# Connect to the client\nqb = Client('http://localhost:8080')\nqb.login('admin', 'adminadmin')\n\n# Get the list of all torrents\ntorrents = qb.torrents()\n\n# Specify the tracker to remove\ntracker_to_remove = 'http://tracker_to_remove.com'\n\n# Iterate over all torrents\nfor torrent in torrents:\n # Get the list of trackers for the current torrent\n trackers = qb.get_torrent_trackers(torrent['hash'])\n\n # Iterate over all trackers\n for tracker in trackers:\n # If the current tracker's URL matches the one to remove\n if tracker['url'] == tracker_to_remove:\n # Remove the tracker\n qb.delete_trackers(torrent['hash'], tracker['url'])\n\nprint('Done.')\n```\n\nThis script will remove the specified tracker from all torrents in the qBittorrent client. Please note that you need to have the `python-qbittorrent` library installed. If it's not installed, you can install it using pip:\n\n```bash\npip install python-qbittorrent\n```\n\nAlso, please note that this script doesn't handle any errors. In a production environment, you should add error handling code to make the script more robust.", "metadata": null} +{"prompt": "Write a small python function that get all the links of a website", "search_helpful": false, "source": "arena_hard", "label": "To install LLVM 17 in a Nix shell, you would typically follow these steps:\n\n1. First, you need to install Nix if you haven't done so already. You can do this by running the following command in your terminal:\n\n```bash\ncurl -L https://nixos.org/nix/install | sh\n```\n\n2. Once Nix is installed, you can create a `shell.nix` file in your project directory. This file will specify the dependencies for your project. In this case, you want to include LLVM 17. Your `shell.nix` file might look something like this:\n\n```nix\n{ pkgs ? import {} }:\n\npkgs.mkShell {\n buildInputs = [\n pkgs.llvmPackages_17.llvm\n ];\n}\n```\n\n3. After you've created your `shell.nix` file, you can enter your Nix shell by running the following command in your terminal:\n\n```bash\nnix-shell\n```\n\nThis will start a new shell where LLVM 17 is available.\n\nPlease note that at the time of writing, LLVM 17 may not be available in the Nix packages collection. You may need to use a different version of LLVM or build LLVM 17 from source.", "metadata": null} +{"prompt": "this is, the head of one file csv, of my dataset:\ntime,note,vel\n10,36,34\n240,42,15\n472,44,67\n473,26,47\n473,38,11\n477,37,38\n711,36,34\n714,22,30\n767,36,10\nWrite the GAN code in Python for train my dataset folder and generate a file or sequence of lines like as the train data.", "search_helpful": false, "source": "arena_hard", "label": "To classify customers as \"new\" or \"existing\", we need to check if they have made any purchases in the previous 6 weeks. We can use a self-join to compare each row with all other rows for the same customer and product, and then use a case statement to classify the customers. Here is a sample SQL code:\n\n```sql\nSELECT \n t1.customer_id, \n t1.week, \n t1.basket_key, \n CASE \n WHEN t2.customer_id IS NULL THEN 'new'\n ELSE 'existing'\n END as customer_type\nFROM \n sales t1\nLEFT JOIN \n sales t2\nON \n t1.customer_id = t2.customer_id \n AND t1.basket_key = t2.basket_key\n AND t2.date BETWEEN DATE_SUB(t1.date, INTERVAL 6 WEEK) AND DATE_SUB(t1.date, INTERVAL 1 DAY)\nGROUP BY \n t1.customer_id, \n t1.week, \n t1.basket_key;\n```\n\nThis query will return a table with the customer_id, week, basket_key and a new column \"customer_type\" which will be either 'new' or 'existing'. \n\nPlease note that this query assumes that the 'date' column is of a date or datetime type and that the database system supports the DATE_SUB function and INTERVAL keyword for date arithmetic. If your database system does not support these features, you may need to adjust the query accordingly.", "metadata": null} +{"prompt": "What are the solutions of 5 x^2 + 3 x^2 = 8? If x is the length of a line segment what is x?", "search_helpful": false, "source": "arena_hard", "label": "Let's start by analyzing the probabilities of Alice and Bob's winning conditions.\n\nAlice wins if she rolls a 7 twice in a row. The probability of rolling a 7 with two dice is 6/36 = 1/6, because there are 6 combinations (1,6), (2,5), (3,4), (4,3), (5,2), (6,1) that sum to 7 out of a total of 36 possible outcomes. The probability of this happening twice in a row is (1/6) * (1/6) = 1/36.\n\nBob wins if he rolls an 8 followed by a 7. The probability of rolling an 8 is 5/36, because there are 5 combinations (2,6), (3,5), (4,4), (5,3), (6,2) that sum to 8. As we already established, the probability of rolling a 7 is 1/6. So, the probability of Bob's winning condition is (5/36) * (1/6) = 5/216.\n\nBased on these probabilities, we would expect Alice to win more often than Bob, because 1/36 is greater than 5/216.\n\nHowever, this analysis assumes that each roll is independent and doesn't take into account the sequence of rolls. For example, if Alice rolls a 7, she has a 1/6 chance of winning on the next roll, whereas Bob would need to roll an 8 and then a 7. This could affect the overall probabilities.\n\nCONTINUE TO ITERATION 2", "metadata": null} +{"prompt": "Given the following list of words. Categorize the words into 5 categories by similarity. Give each category a name. Respond in a python dictionary with key as the category name and value as a list of words in that category. List of words: ['Quagmire', 'Luminous', 'Melancholy', 'Perplexed', 'Jubilant', 'Enigmatic', 'Ambiguous', 'Ravenous', 'Obsolete', 'Tenacious', 'Euphoric', 'Wistful', 'Clandestine', 'Insidious', 'Inquisitive', 'Resilient', 'Surreptitious', 'Serendipity', 'Idiosyncratic', 'Juxtaposition']", "search_helpful": false, "source": "arena_hard", "label": "Here is a Videomass preset that converts a video file to AV1 with close to lossless quality while also reducing file size. It is a two-pass preset:\n\n```json\n[\n {\n \"Name\": \"libaom (Two-pass) Lossless\",\n \"Description\": \"2-pass, Converts a video file to AV1 with close to lossless quality while also reducing file size.\",\n \"First_pass\": \"-pass 1 -an -sn -c:v libaom-av1 -b:v 0 -crf 0 -usage good -cpu-used 4 -row-mt 1 -tiles 2x2 -g 250 -keyint_min 250 -pix_fmt yuv420p -f null\",\n \"Second_pass\": \"-pass 2 -c:v libaom-av1 -b:v 0 -crf 0 -usage good -cpu-used 4 -row-mt 1 -tiles 2x2 -g 250 -keyint_min 250 -pix_fmt yuv420p -map 0:v? -map_chapters 0 -map 0:s? -c:a: libopus -compression_level 5 -map 0:a:? -map_metadata 0\",\n \"Supported_list\": \"\",\n \"Output_extension\": \"mkv\"\n }\n]\n```\n\nIn this preset, `-b:v 0 -crf 0` is used to achieve close to lossless quality. The `-b:v 0` sets the bitrate to the minimum and `-crf 0` sets the Constant Rate Factor to 0 which is lossless. The rest of the parameters are the same as in the provided code block.", "metadata": null} +{"prompt": "Describe how can I quicly build a Keras script to train and categorize data from a CSV file.", "search_helpful": false, "source": "arena_hard", "label": "You can use the `receive()` method provided by Flask-SocketIO to wait for a message from the client. Here's how you can modify your code:\n\n```python\nfrom flask_socketio import SocketIO\n\nsocketio = SocketIO(app)\n\n@socketio.on('reader_flasher')\ndef updater():\n # Receive the UUID from the client\n device_id = socketio.receive()\n\n # Call the update_firmware_full function with the received UUID\n update_firmware_full(socketio, device_id)\n```\n\nIn this code, `socketio.receive()` will block and wait until a message is received from the client. Once a message is received, it is stored in the `device_id` variable and passed to the `update_firmware_full` function.\n\nPlease note that you need to ensure that the client sends the UUID over the 'reader_flasher' event for this to work.", "metadata": null} +{"prompt": "Using Vue3 and tailwind, I want a top menu, with dropdown menu that have nested submenu.", "search_helpful": false, "source": "arena_hard", "label": "Here is the equivalent Perl script:\n\n```perl\n#!/usr/bin/perl\nuse strict;\nuse warnings;\nuse Getopt::Long;\nuse Cwd 'abs_path';\nuse File::Basename;\n\nmy $dir = dirname(abs_path($0));\nrequire \"$dir/../video.sh\";\n\nmy ($quality, $preset, $resize, $noise, $input_file);\n\nGetOptions(\n 'quality|q=s' => \\$quality,\n 'preset|p=s' => \\$preset,\n 'resize|r=s' => \\$resize,\n 'noise|n=s' => \\$noise,\n '<>' => sub { $input_file = shift }\n);\n\ndie \"FILE NOT FOUND: $input_file\" unless -f $input_file;\n\nif (!$quality || !$preset || !$input_file) {\n die \"Usage: $0 -q|--quality -p|--preset [-n|--noise ] [-r|--resize ] \";\n}\n\nmy $file_path = abs_path($input_file);\nmy $file_name = get_filename($file_path);\n\nmy $chunk_method = \"ffms2\";\n\nmy $output_name = \"${file_name}.reencode.av1an.aom.rf${quality}.p${preset}\";\n\nmy $metadata_comment = \"reencoded with av1an(aom), 10-bit, cpu-used=${preset}, cq=${quality}, chunk-method=$chunk_method\";\n\nif ($noise) {\n $output_name .= \".noise${noise}\";\n} else {\n $noise = 10;\n}\n\nif ($resize) {\n $output_name .= \".${resize}p\";\n}\n\n`ulimit -n 2048`;\n\nmy $threads = 2;\n\n`av1an --verbose \\\n -i \"$file_path\" \\\n --encoder aom \\\n --workers 4 \\\n --resume \\\n --extra-split 300 \\\n --ignore-frame-mismatch \\\n --audio-params \" -an \" \\\n --ffmpeg \" -an $([[ -n \"$resize\" ]] && echo \" -vf 'scale=-1:${resize}'\")\" \\\n --split-method av-scenechange --chunk-method $chunk_method --concat mkvmerge \\\n --set-thread-affinity=\"$threads\" \\\n --photon-noise=\"$noise\" \\\n --video-params \" \\\n --bit-depth=10 \\\n --threads=$threads \\\n --end-usage=q --cq-level=$quality --cpu-used=$preset \\\n --tile-columns=0 --tile-rows=0 \\\n --tune-content=psy --tune=ssim \\\n --lag-in-frames=64 \\\n --enable-keyframe-filtering=1 --disable-kf --kf-max-dist=9999 \\\n --enable-qm=1 --deltaq-mode=0 --aq-mode=0 --quant-b-adapt=1 \\\n --enable-fwd-kf=0 --arnr-strength=4 --sb-size=dynamic --enable-dnl-denoising=0 \\\n \" \\\n -o \"${output_name}.audioless.mkv\"`;\n\n`ffmpeg -loglevel warning -hide_banner \\\n -i \"${output_name}.audioless.mkv\" -i \"$file_path\" \\\n -c copy -map 0:v -map 1:a \\\n -metadata comment=\"$metadata_comment\" \\\n \"${output_name}.mp4\"`;\n\n`rm -rf \"${output_name}.audioless.mkv\"`;\n\nprint \"\\n\\n\";\n`exa -al --color=always --no-permissions --no-user --time-style=long-iso \"$input_file\" \"${output_name}.mp4\"`;\n\nprint \"\\nvideo-compare \\\"$input_file\\\" \\\"${output_name}.mp4\\\"\\n\";\n\nprint \"\\n\u2705 FINISHED\\n\";\n```\n\nPlease note that this script assumes that the `get_filename` function is defined in the `video.sh` file. If it's not, you'll need to implement it in Perl. Also, Perl doesn't have a built-in equivalent to the `source` command in bash, so the `video.sh` file is required as a Perl module. If `video.sh` is a bash script and not a Perl module, you'll need to convert its functionality to Perl as well.", "metadata": null} +{"prompt": "using only tailwind and nextjs\nwrite a left side navbar that is replaced by a top hambuguer menu when on phone screens\nwhen you tap on the menu it opens the sidebar menu with a sliding animation from the left side on top of the content\nthe menu only appears on small width devices such as smarthphones\nwhile on desktop the sidebar is always enabled", "search_helpful": false, "source": "arena_hard", "label": "To use `@tanstack/vue-query` to fetch data from `/get_session` and select specific keys in the response to update in a global pinia store, you can follow these steps:\n\n1. First, you need to install the necessary packages. If you haven't done so, you can install them using npm or yarn:\n\n```bash\nnpm install @tanstack/vue-query pinia\n# or\nyarn add @tanstack/vue-query pinia\n```\n\n2. Import the necessary modules in your Vue component:\n\n```javascript\nimport { useQuery } from '@tanstack/vue-query'\nimport { useStore } from 'pinia'\n```\n\n3. Define your query function. This function will be responsible for fetching data from `/get_session`:\n\n```javascript\nconst fetchSession = async () => {\n const response = await fetch('/get_session')\n if (!response.ok) {\n throw new Error('Network response was not ok')\n }\n return response.json()\n}\n```\n\n4. Use the `useQuery` hook to fetch data:\n\n```javascript\nconst { data, isLoading, error } = useQuery('session', fetchSession)\n```\n\n5. Define your pinia store. This store will be responsible for managing your global state:\n\n```javascript\nimport { defineStore } from 'pinia'\n\nconst useMyStore = defineStore({\n id: 'myStore',\n state: () => ({\n session: null,\n }),\n actions: {\n updateSession(sessionData) {\n this.session = sessionData\n },\n },\n})\n```\n\n6. Use the `useMyStore` hook to get access to your store:\n\n```javascript\nconst store = useMyStore()\n```\n\n7. In your `useQuery` hook, use the `onSuccess` option to update your store when the query succeeds:\n\n```javascript\nconst { data, isLoading, error } = useQuery('session', fetchSession, {\n onSuccess: (data) => {\n // Select specific keys from the data\n const selectedData = {\n key1: data.key1,\n key2: data.key2,\n // Add more keys as needed\n }\n // Update the store\n store.updateSession(selectedData)\n },\n})\n```\n\nThis way, whenever the query succeeds, it will update your pinia store with the selected keys from the response data.", "metadata": null} +{"prompt": "I live in Germany and I am a german tax resident. If I trade shares, I'm subject to german income tax. I want to move my trading to a company and let the profits be taxed as for companies. Whattype of a company should I create, and in which country? ", "search_helpful": false, "source": "arena_hard", "label": "The STP model is a strategic approach in modern marketing that stands for Segmentation, Targeting, and Positioning. This model is useful for developing marketing communications strategies where you start by segmenting your market into distinct groups with distinct needs, characteristics, or behavior who may require separate products or marketing mixes. Then you select one or more market segments to enter. Lastly, you position your market offering in the minds of the market target.\n\nLet's break down each component of the STP model:\n\n1. Segmentation: Market segmentation is the process of dividing a broad consumer or business market into sub-groups of consumers or segments. Segmentation is based on some type of shared characteristic of existing and potential customers. For example, McDonald's segments its market based on demographic variables like age and lifestyle. They have Happy Meals for children, premium salads for health-conscious adults, and coffee beverages for young adults and professionals.\n\n2. Targeting: After the market has been segmented, the next step is to select one or more of these segments to target. This involves evaluating each segment's attractiveness and deciding which one(s) to go after. For instance, Tesla initially targeted the high-end luxury car market segment with its Roadster and Model S, which allowed it to establish a strong brand and then move down-market with the more affordable Model 3.\n\n3. Positioning: Positioning is the final step in the STP process. It involves creating a unique, consistent, and recognizable customer perception about a brand. A good example of this is Apple, which positions itself as a provider of innovative, high-quality, and design-oriented tech products. This positioning is consistent across all its products, from iPhones to MacBooks, and is recognized by consumers worldwide.\n\nIn conclusion, the STP model is a fundamental approach in marketing strategy and is crucial for businesses to effectively reach their target customers with the right products and messages. By understanding and implementing this model, businesses can better allocate their resources, differentiate their products, and communicate their value proposition to their customers.", "metadata": null} +{"prompt": "Assume the role of a tax advisor or accountant familiar with US federal taxes. If I forgot to withdraw the RMD (required minimum distribution) from my inherited IRA account during one particular year, how do I minimize the penalties I would have to pay the following year?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a basic contingency table for the flavor profiles of the ingredient combinations. Please note that the flavor profiles are subjective and can vary based on individual taste preferences.\n\n| Ingredient Combination | Tuna | Salt | Chocolate |\n|------------------------|------|------|-----------|\n| Tuna | - | Salty, Seafood | Sweet, Seafood |\n| Salt | Salty, Seafood | - | Sweet, Salty |\n| Chocolate | Sweet, Seafood | Sweet, Salty | - |\n\n- Tuna + Tuna: Not applicable as it's the same ingredient.\n- Tuna + Salt: The flavor profile would be salty with a seafood taste.\n- Tuna + Chocolate: The flavor profile would be sweet with a seafood taste.\n- Salt + Tuna: The flavor profile would be salty with a seafood taste.\n- Salt + Salt: Not applicable as it's the same ingredient.\n- Salt + Chocolate: The flavor profile would be sweet and salty.\n- Chocolate + Tuna: The flavor profile would be sweet with a seafood taste.\n- Chocolate + Salt: The flavor profile would be sweet and salty.\n- Chocolate + Chocolate: Not applicable as it's the same ingredient.", "metadata": null} +{"prompt": "Use the greenshields model for traffic flow, the develop a python problem teaching the students how to use if-condition. In the problem the student will estimate the travel time from home to work when there is no rainfall and when there is a rainfall", "search_helpful": false, "source": "arena_hard", "label": "Starting an AI-enabled tech startup as a corporate lawyer with 15 years of experience in mergers and acquisitions would be a challenging but exciting endeavor. Here's a step-by-step guide on how you could pivot:\n\n1. **Identify Your Niche**: As a corporate lawyer, you have a unique perspective on the legal industry. Identify a problem or inefficiency in your field that could be solved with AI technology. This could be anything from contract analysis to legal research.\n\n2. **Educate Yourself**: Start learning about AI and its applications. You don't need to become an expert, but you should understand the basics and how it can be applied to your chosen problem. Online courses, books, and seminars can be helpful resources.\n\n3. **Build a Team**: You'll need a team of experts to help you build your startup. This should include AI specialists, software developers, and other professionals with experience in tech startups. You might also want to consider finding a co-founder who complements your skills.\n\n4. **Develop a Business Plan**: Outline your business idea, market analysis, marketing and sales strategy, and financial projections. This will not only guide your startup but also be necessary for securing funding.\n\n5. **Secure Funding**: As a corporate lawyer, you likely have connections in the business world. Use these to secure funding for your startup. This could be through venture capital, angel investors, or even crowdfunding.\n\n6. **Build a Minimum Viable Product (MVP)**: Develop a simple version of your product that solves the problem you've identified. This will allow you to test your idea and get feedback from users.\n\n7. **Test and Iterate**: Use the feedback from your MVP to improve your product. This process of testing and iterating will likely continue throughout the life of your startup.\n\n8. **Launch**: Once you're confident in your product, launch it to the public. This will involve a lot of marketing and sales efforts.\n\n9. **Scale**: After launching, focus on growing your user base and revenue. This could involve expanding to new markets, adding new features to your product, or increasing your marketing efforts.\n\n10. **Continuous Learning and Improvement**: The tech industry is always changing, so it's important to stay up-to-date with the latest trends and technologies. Always be open to learning and improving both your product and your business operations.\n\nRemember, starting a business is a marathon, not a sprint. It will take time, effort, and perseverance, but with the right idea and team, you can successfully pivot from corporate law to launching an AI-enabled tech startup.", "metadata": null} +{"prompt": "Apply your critical and analytical thinking and provide well-reasoned insights in response to each of the following four essay questions!\nPlease click the following link to answer the question no. 1: https://www.theclassroom.com/structuralist-approach-teaching-english-8716712.html \n\nDrawing upon the principles of structuralism, critically analyze and evaluate the strengths and weaknesses of the structuralist approach to teaching English. Provide well-reasoned arguments and examples to support your assessment. Consider the implications of this methodology for different age groups and educational levels. Additionally, discuss the balance between the emphasis on proper language mechanics and the potential limitations on creativity in language expression. Ensure that your response reflects a deep understanding of the structural view of language and its implications for English language teaching.\nIn a critical analysis, compare and contrast the Direct Method and the Grammar-Translation Method. Identify and discuss the key principles that differentiate these two language teaching methods. Additionally, evaluate the effectiveness of the teaching techniques associated with each method. Support your analysis with examples and consider the implications of these methods on language acquisition and proficiency.\nIn light of the historical context and critiques discussed in the Audio Lingual Method, evaluate critically the reasons behind the decline in popularity of the Audio-lingual Method. Provide specific examples of criticisms and discuss how the method's theoretical foundations contributed to its diminished use in language teaching. \nConsidering the evolution of language teaching methods discussed in the course of Communicative Language Teaching (CLT), analyze critically the central concept of \"communicative competence\" in CLT. Discuss how CLT addresses the limitations of previous methods and evaluate the role of learners and teachers in the CLT approach. ", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's an example of how you can generate cryptographically secure random numbers in Python using the `secrets` module:\n\n```python\nimport secrets\n\ndef generate_secure_random_number():\n return secrets.randbelow(1000000)\n```\n\nThis function will generate a cryptographically secure random number between 0 and 999999. You can adjust the range by changing the argument to `secrets.randbelow()`.\n\nIf you want to generate a cryptographically secure random float, you can use the `random.SystemRandom` class:\n\n```python\nimport random\n\ndef generate_secure_random_float():\n secure_random = random.SystemRandom()\n return secure_random.random()\n```\n\nThis function will generate a cryptographically secure random float between 0 and 1.\n\nPlease note that these functions are secure because they use sources provided by the operating system that are designed to be cryptographically secure.", "metadata": null} +{"prompt": "How to process awk '{print $2}' with jq so that it would be {\"result\": \"value1,value2,...\"}?", "search_helpful": false, "source": "arena_hard", "label": "To achieve this, you will need to use Plotly's click events to capture the selected data point and then use LIME to generate the decision rules for that instance. Here's a rough idea of how you can modify your code:\n\nFirst, you need to install the required libraries. You can do this by running the following command in your terminal:\n\n```bash\npip install plotly lime\n```\n\nThen, you can modify your `display_graph` function to use Plotly for the scatter plot and capture click events:\n\n```python\nimport plotly.express as px\nfrom lime.lime_tabular import LimeTabularExplainer\n\ndef display_graph(predictions_df, uploaded_file):\n # ... existing code ...\n\n # Create a scatter plot using Plotly\n fig = px.scatter(df_combined, x=\"Synthetic_Timestamp\", y=\"Predicted_Status\", color=\"Predicted_Status\", size_max=60)\n st.plotly_chart(fig)\n\n # Capture click events\n @st.cache(allow_output_mutation=True)\n def get_clicks():\n return []\n\n clicks = get_clicks()\n\n if st.session_state.get('click') is not None:\n clicks.append(st.session_state.click)\n\n if st.button('Get explanation'):\n if len(clicks) > 0:\n # Get the last click\n click_data = clicks[-1]\n\n # Get the instance data\n instance = df_combined.loc[click_data['points'][0]['pointIndex']]\n\n # Create a LimeTabularExplainer\n explainer = LimeTabularExplainer(df_combined.to_numpy(), feature_names=df_combined.columns, class_names=['0', '1'], verbose=True, mode='classification')\n\n # Get the explanation for the instance\n exp = explainer.explain_instance(instance.to_numpy(), model.predict_proba, num_features=5)\n\n # Show the explanation\n st.markdown(exp.as_list())\n```\n\nIn the above code, we first create a scatter plot using Plotly and display it using `st.plotly_chart`. Then, we capture the click events on the plot and store them in the session state. When the 'Get explanation' button is clicked, we get the last click event, retrieve the corresponding instance from the DataFrame, and use LIME to generate an explanation for that instance.\n\nPlease note that this is a rough idea and you might need to adjust the code according to your needs. Also, the LIME explanation might take some time to generate, especially for large datasets.", "metadata": null} +{"prompt": "Rewrite this bash script to be more efficient #!/bin/bash\n\ndeclare -a username_base\nusername_base=($(snmpwalk -v 2c -c $comm $host SNMPv2-SMI::enterprises.9.9.392.1.3.21.1.20 | grep STRING | awk -F\"SNMPv2-SMI::enterprises.9.9.392.1.3.21.1.20.\" '{print $2}' | awk -F\" \" '{print $1}' | sed 's#[^.]*$##'))\n\ncount_username=${#username_base[@]}\necho \"There are $count_username VPN users connected.\"\ni=0\nwhile [ ${i} -lt ${count_username} ]; do\nusername_oid=${username_base[$i]:0:-1}\nusername_dec=`echo $username_oid | sed 's/^[0-9]*.//' | sed 's/\\./ /g'`\nfor x in `echo $username_dec`; do printf \"\\\\$(printf %o \"$x\")\"; done\n\nvpn_agent=`snmpwalk -v 2c -c $comm $host SNMPv2-SMI::enterprises.9.9.392.1.3.21.1.18.${username_oid} | awk -F\"STRING: \" '{print $2}' | head -1`\nvpn_extip=`snmpwalk -v 2c -c $comm $host SNMPv2-SMI::enterprises.9.9.392.1.3.21.1.10.${username_oid} | awk -F\"STRING: \" '{print $2}' | head -1`\nvpn_intip=`snmpwalk -v 2c -c $comm $host SNMPv2-SMI::enterprises.9.9.392.1.3.21.1.8.${username_oid} | awk -F\"STRING: \" '{print $2}' | tail -1`\necho \", ${vpn_extip}, ${vpn_agent}, ${vpn_intip}\"\ni=$(($i+1))\ndone", "search_helpful": false, "source": "arena_hard", "label": "Yes, there is a mechanism that can help you verify the procedure and ensure that the session key is the product of randomness. This mechanism is known as a Non-Interactive Zero-Knowledge Proof (NIZKP).\n\nA Non-Interactive Zero-Knowledge Proof is a cryptographic method by which one party (the prover) can prove to another party (the verifier) that they know a value x, without conveying any information apart from the fact that they know the value x.\n\nIn your case, the HSM can generate a NIZKP that it knows the derived key and the random number such that their hash equals the session key. This proof can be verified by anyone who knows the session key and the public parameters of the proof, but it doesn't reveal the derived key or the random number.\n\nHere is a simplified version of how it could work:\n\n1. The HSM generates a random number r.\n2. The HSM computes the derived key d using the HKDF with the secret k.\n3. The HSM computes the session key s = sha(d, r).\n4. The HSM generates a NIZKP of knowledge of (d, r) such that sha(d, r) = s. Let's call this proof P.\n5. The HSM outputs (s, P).\n\nNow, anyone can verify that the HSM knows a derived key and a random number such that their hash equals the session key, without learning the derived key or the random number. This can be done by verifying the NIZKP P with the session key s and the public parameters of the proof.\n\nThis way, you can ensure that the session key is the product of randomness and that no backdoor has been implemented.", "metadata": null} +{"prompt": "lets play a text rpg game about space exploration. You are a both storyteller and a dungeon master who weaves a story and keep score and generates challenges for me. I am the player who will give you responds depending on situations you will throw at me. Keep your responses in range of 30 to 50 tokens", "search_helpful": false, "source": "arena_hard", "label": ".mi tavla fi la .paris. fo la .inglic. do poi se pendo la .djyn. noi ca'o ciska lo xatra", "metadata": null} +{"prompt": "show me a way to randomly develop cities for an rpg using a d4, a d6 and a d8.", "search_helpful": false, "source": "arena_hard", "label": "Scope of the Study:\n\n1. The study will focus on investigating the effectiveness of the tool in promoting accurate and consistent drilling centers across multiple repeated trials. \n2. The research will examine the functionality of the alignment guides and assess their performance in maintaining precision across a range of workpiece dimensions.\n3. The study will also evaluate the tool's performance on different materials to understand its versatility and adaptability.\n4. The research will seek to establish the tool's limitations and capabilities, providing valuable insights into its practical utility in various drilling scenarios.\n5. The study will involve both qualitative and quantitative methods of data collection and analysis, including field tests, interviews with users, and statistical analysis of performance data.\n\nLimitations of the Study:\n\n1. The study will be limited to the specific tool under investigation and may not be applicable to other drilling tools or equipment.\n2. The research will be conducted under controlled conditions, and the results may vary in real-world scenarios due to factors such as operator skill, environmental conditions, and variations in workpiece materials.\n3. The study will not investigate the tool's long-term durability or its performance under extreme conditions.\n4. The research will not consider the cost-effectiveness or economic feasibility of the tool, focusing solely on its technical performance and capabilities.\n5. The study will rely on the accuracy of the data collected, which may be subject to human error or equipment malfunction.", "metadata": null} +{"prompt": "write a program to play connect-4", "search_helpful": false, "source": "arena_hard", "label": "Measuring profit or loss in dollar-cost averaging involves a few steps:\n\n1. Calculate the Average Cost: First, you need to calculate the average cost per share. This is done by dividing the total amount invested by the total number of shares purchased. \n\n2. Determine the Current Market Value: Next, determine the current market value of your investment. This is done by multiplying the current market price per share by the total number of shares you own.\n\n3. Calculate Profit or Loss: Subtract the total amount invested from the current market value of your investment. If the result is positive, you have a profit. If it's negative, you have a loss.\n\nRemember, dollar-cost averaging is a long-term investment strategy designed to reduce the impact of volatility on large purchases of financial assets. It does not guarantee a profit or protect against a loss, and it involves continuous investment so the investor should consider his or her ability to continue investing through periods of low price levels.", "metadata": null} +{"prompt": "A 50 y/o m present with painful toe since yesterday, the toe is swollen and red, sensitive to touch. no other joints are involved what is the differential diagnosis?", "search_helpful": false, "source": "arena_hard", "label": "{'entities': [[1, 'Barack Obama', 'Person'], [2, '44th president of the United States', 'Position'], [3, 'Honolulu, Hawaii', 'Location'], [4, 'August 4, 1961', 'Date'], [5, 'Columbia University', 'Institution'], [6, 'Harvard Law School', 'Institution'], [7, 'Illinois State Senate', 'Institution'], [8, '1997', 'Date'], [9, '2004', 'Date'], [10, '2008', 'Date'], [11, 'president of the United States', 'Position'], [12, 'Republican nominee John McCain', 'Person'], [13, '2012', 'Date'], [14, 'Republican nominee Mitt Romney', 'Person']], 'relationships': [[1, 'was', 2], [1, 'was born in', 3], [1, 'was born on', 4], [1, 'graduated from', 5], [1, 'graduated from', 6], [1, 'served in', 7], [1, 'served from', 8], [1, 'served to', 9], [1, 'was elected', 11], [1, 'was elected in', 10], [1, 'defeated', 12], [1, 'was re-elected in', 13], [1, 'defeated', 14]]}", "metadata": null} +{"prompt": "How do I merge the following into a single pass call?\nrk <- rk %>% filter(Peptide %in% pp) %>% collect() %>%\n separate(col=\"FragType\", into=c(\"Product\",\"FragZ\"), remove=FALSE)\n rk[is.na(rk)]=0", "search_helpful": false, "source": "arena_hard", "label": "The Global Offset Table (GOT) is used in Position Independent Code (PIC) to access data that is not known at link time. Here is an example of a function in PPC64 assembly that loads the GOT and calls a function from it:\n\n```assembly\n.section \".text\"\n.globl _start\n_start:\n # Load the address of the GOT into r2\n mr r2, r11\n\n # Load the address of the function from the GOT\n ld r12, 0(r2)\n\n # Call the function\n mtctr r12\n bctrl\n\n # Exit\n li r0, 1\n sc\n```\n\nThis is a very basic example and assumes that the address of the function you want to call is at the start of the GOT. In a real-world scenario, you would need to know the offset of the function in the GOT and use that instead of 0 in the `ld` instruction.\n\nAlso, note that this code does not handle any of the setup or teardown that a function would normally need to do. It simply loads the GOT, calls a function, and then exits.", "metadata": null} +{"prompt": "help me remove column A based on this code data vertical3;\n\tset vertical2;\nformat Treatment $Drug. Effectiveness $Effective. Sex $Sex. ;", "search_helpful": false, "source": "arena_hard", "label": "Sure, here are the steps to filter and delete rows in an Excel table where the value of a certain column is 0:\n\n1. Open your Excel spreadsheet.\n\n2. Click on the column header of the column you want to filter. This will select the entire column.\n\n3. Go to the \"Data\" tab on the Excel ribbon.\n\n4. In the \"Sort & Filter\" group, click on the \"Filter\" button. This will add a drop-down arrow to the right of your column header.\n\n5. Click on the drop-down arrow in the column header.\n\n6. In the drop-down menu, uncheck the \"Select All\" option to deselect all values.\n\n7. Scroll down and check the box next to \"0\" to select it, then click \"OK\". This will filter your table to only show rows where the value in this column is 0.\n\n8. Now, select all the visible rows. You can do this by clicking on the row number of the first visible row, then, while holding down the Shift key, clicking on the row number of the last visible row.\n\n9. Once all the rows are selected, right-click on any of the selected row numbers and choose \"Delete Row\" from the context menu. This will delete all selected rows.\n\n10. Finally, to remove the filter and show all remaining rows, go back to the \"Data\" tab on the Excel ribbon and click on the \"Filter\" button again.\n\nRemember to save your work.", "metadata": null} +{"prompt": "Create a course for learning CodeQL and categorize it into Beginner, Intermediate, Advanced. Write the number of hours for each topic.", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple and efficient prime number search algorithm in MATLAB:\n\n```matlab\nfunction primes = primeSearch(n)\n primes = 2:n;\n i = 1;\n while (primes(i)^2 <= n)\n primes = primes(primes==primes(i) | mod(primes,primes(i))>0);\n i = i+1;\n end\nend\n```\n\nThis function `primeSearch(n)` will return all prime numbers up to `n`. It starts by assuming all numbers from 2 to `n` are primes, then it iteratively removes multiples of primes starting from 2. The loop stops when the square of the current prime is greater than `n`, because at that point all composite numbers less than or equal to `n` have already been removed.\n\nTo use this function, simply call it with the desired number. For example, to find all primes less than or equal to 100, you would use:\n\n```matlab\nprimes = primeSearch(100);\n```\n\nThis will return a vector of all prime numbers up to 100.", "metadata": null} +{"prompt": "It is 1.00 o clock at night and I have to wait for 1.65 hours what time is it going to be after the wait is over?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple Python function using BeautifulSoup and requests libraries to get all the links from a website:\n\n```python\nimport requests\nfrom bs4 import BeautifulSoup\n\ndef get_all_links(url):\n try:\n response = requests.get(url)\n soup = BeautifulSoup(response.text, 'html.parser')\n links = [a['href'] for a in soup.find_all('a', href=True)]\n return links\n except Exception as e:\n print(f\"An error occurred: {e}\")\n return []\n\n# Test the function\nlinks = get_all_links('https://www.example.com')\nfor link in links:\n print(link)\n```\n\nThis function sends a GET request to the specified URL, parses the HTML response to find all 'a' tags with an 'href' attribute, and returns a list of the URLs. Please note that this will only return absolute links. If the website uses relative links, you will need to combine them with the base URL.\n\nAlso, please make sure to install the required libraries by running `pip install requests beautifulsoup4` in your terminal if you haven't done so already.", "metadata": null} +{"prompt": "Write me an iMessage extension that displays two buttons in the keyboard view.", "search_helpful": false, "source": "arena_hard", "label": "This is a complex decision and depends on various factors including your risk tolerance, financial goals, and personal circumstances. Here's a simplified comparison:\n\n1. Real Estate Investment: \n - Pros: Potential for significant appreciation, stable income from rent, and tangible asset.\n - Cons: High initial investment, ongoing maintenance costs, potential for property damage, and risk of vacancies. Also, the real estate market can be unpredictable and illiquid.\n\n2. Mutual Fund Investment:\n - Pros: Diversification, potential for high returns, and liquidity.\n - Cons: Market volatility, potential for losses, and management fees.\n\nGiven your scenario, here are some considerations:\n\n- If you buy a flat, you'll have to take a loan of 80 lakhs and pay an EMI of around 80,000 per month for 15 years. This is a significant financial commitment and could strain your finances if your income is not stable.\n- The rent you might get after 2 years could help offset the EMI, but there's a risk that the flat might not be rented out all the time.\n- The potential appreciation of the flat is attractive, but it's not guaranteed. Also, you'll have to pay a 20% capital gains tax when you sell it.\n- On the other hand, investing in mutual funds through SIPs could potentially give you higher returns, especially if you're willing to take on more risk with small and mid-cap funds. However, these funds can also have significant losses during bad years.\n- The capital gains tax on mutual funds is lower at 10%.\n\nGiven these considerations, if you're willing to take on more risk for potentially higher returns and prefer liquidity, investing in mutual funds could be a better option. However, if you prefer a tangible asset and a potential stable income from rent, buying a flat could be more suitable.\n\nIt's recommended to consult with a financial advisor who can provide personalized advice based on your financial situation and goals.", "metadata": null} +{"prompt": "I want to write a GUI application in Python using PyQT. The app should do the following:\n- The main window shows the current webcam feed in 800x600 pixels. Use OpenCV for this. \n- On the right side of the webcam feed there is a lineplot shown that gets updated in real time. Use either matplotlib or plotly for this. If this is not possible, please confirm. \n- Below the line plot there is one text field with a button to its right. The button opens a file chooser to store a file. The file-path gets printed in the text field to its left.\n- Below the text field there is another button. When the button is pushed, the webcam feed gets recorded until the button is pushed again. Once the recording is finished, the recorded file is stored under the destination written in the text field.\n- The buttons and the text field have a maximum height of 64 px and maximum width of 400 px. The webcam feed and the plot should scale automatically with the window size. \n- I am developing on Linux. The app will be used on Linux as well. \n\nBefore implementing this, do you have any questions?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here's a simple example of how you might use the SketchUp API to draw a cube in Ruby:\n\n```ruby\nrequire 'sketchup.rb'\n\ndef draw_cube\n model = Sketchup.active_model\n entities = model.active_entities\n\n # Start a new operation\n model.start_operation('Create Cube', true)\n\n # Define the points of the cube\n pt1 = [0, 0, 0]\n pt2 = [1.m, 0, 0]\n pt3 = [1.m, 1.m, 0]\n pt4 = [0, 1.m, 0]\n face = entities.add_face(pt1, pt2, pt3, pt4)\n\n # If the face was drawn in the wrong direction, flip it\n face.reverse! if face.normal.z < 0\n\n # Pull the face into a cube\n face.pushpull(-1.m)\n\n # Commit the operation\n model.commit_operation\nend\n\n# Call the function to draw the cube\ndraw_cube\n```\n\nThis script will create a 1m x 1m x 1m cube at the origin of your SketchUp model. You can adjust the size and position of the cube by modifying the points (pt1, pt2, pt3, pt4) and the distance in the `pushpull` method.", "metadata": null} +{"prompt": "create legends of runeterra deck with noxus and freljord regions. The deck must have exactly 40 cards. The deck will have 2 champions, one from each region. Choose champions with best possible synergy. ", "search_helpful": false, "source": "arena_hard", "label": "The vulnerability in this smart contract is that there is no access control in the `setPassword` function. This means that any address can call this function and change the password, not just the owner of the contract. \n\nTo fix this, you should add a modifier or a condition to check if `msg.sender` is the owner of the contract before allowing them to set the password. Here's an example of how you can do this:\n\n```solidity\nfunction setPassword(string memory newPassword) external {\n if (msg.sender != s_owner) {\n revert PasswordStore__NotOwner();\n }\n s_password = newPassword;\n emit SetNetPassword();\n}\n```\n\nThis way, only the owner of the contract can change the password.", "metadata": null} +{"prompt": "i would like to build a magic the gathering deck. this deck contains 99 cards. How many lands should i play to draw on average 3 lands in my starting 7 cards hand. explain the calculus", "search_helpful": false, "source": "arena_hard", "label": "Here's a simple design for your program:\n\n1. **Data Preparation**: First, you need to load your list of records into your program. You can use a CSV or Excel file to store your records and then use Python's built-in csv module or pandas to load the data into your program. Each record will be a list of fields and you can store all records in a list of lists.\n\n2. **Text File Loading**: You will need to load the text file that you want to search. You can use Python's built-in file handling functions to load the text file into your program. You should load the text file as a string.\n\n3. **Text File Processing**: Once you have loaded the text file, you will need to process it to make it easier to search. You can use Python's built-in string functions to split the text file into a list of words. You can also convert all words to lower case to make the search case insensitive.\n\n4. **Searching**: Now that you have a list of words from the text file, you can start searching for occurrences of the fields from your records. You can use Python's built-in 'in' operator to check if a field is in the list of words. For each record, you can iterate over its fields and check if each field is in the list of words. You can keep a count of the number of matches for each record.\n\n5. **Scoring**: For each record, you can assign a score based on the number of matches. If a record has 12 matches, its score will be 12. If a record has 0 matches, its score will be 0.\n\n6. **Thresholding**: After scoring all records, you can filter out the records that have a score below a certain threshold. You can use a simple if statement to check if a record's score is above the threshold.\n\n7. **Output**: Finally, you can output the records that have a score above the threshold. You can print them to the console or write them to a file.\n\nHere's a simple implementation of the above design:\n\n```python\nimport pandas as pd\n\n# Load records\nrecords = pd.read_csv('records.csv').values.tolist()\n\n# Load text file\nwith open('textfile.txt', 'r') as f:\n text = f.read().lower().split()\n\n# Search and score\nscores = []\nfor record in records:\n score = sum(1 for field in record if str(field).lower() in text)\n scores.append(score)\n\n# Threshold\nthreshold = 5\nabove_threshold = [record for record, score in zip(records, scores) if score >= threshold]\n\n# Output\nfor record in above_threshold:\n print(record)\n```\n\nThis program assumes that your records are stored in a CSV file called 'records.csv' and that the text file you want to search is called 'textfile.txt'. You can replace these with the actual paths to your files. The threshold is set to 5, but you can change this to whatever value you want.", "metadata": null} +{"prompt": "code a framework for a multiple traveling salesman optimization in python using DEAP", "search_helpful": false, "source": "arena_hard", "label": "(Verse 1)\nDown by the muddy river, under the weeping willow,\nLives a creature, silent as a whisper, in the water's shallow.\nHe's got a beard like a prophet, eyes like midnight coal,\nHe's a catfish, swimming in the deep, where the currents roll.\n\n(Chorus)\nOh, catfish, catfish, in the river wide,\nWith your whiskers twitching, where do you hide?\nIn the murky depths, where the secrets lie,\nUnderneath the moon's watchful eye.\n\n(Verse 2)\nHe's seen the sun rise, he's seen the sun set,\nHe's seen things, that we ain't seen yet.\nHe's a bottom dweller, in the river's bed,\nWith tales to tell, that ain't been said.\n\n(Chorus)\nOh, catfish, catfish, in the river's flow,\nWhat are the secrets, that you know?\nIn the silent water, beneath the sky,\nWhat tales could you tell, if fish could cry?\n\n(Bridge)\nHe's a river sage, a water's seer,\nIn the river's song, his truth is clear.\nHe's a catfish, living free and wild,\nIn the river's heart, nature's child.\n\n(Chorus)\nOh, catfish, catfish, in the river's bend,\nWhat's the message, that you send?\nIn the quiet water, beneath the stars,\nYou're a silent poet, behind water's bars.\n\n(Outro)\nSo here's to the catfish, in the river wide,\nWith your silent wisdom, and your quiet pride.\nIn the river's depths, where the secrets lie,\nUnderneath the moon's watchful eye.", "metadata": null} +{"prompt": "Two trains, train A and train B, are driving toward each other. They start 10 km from each other. Train A runs at 10 m/s and train B at 5 km/h. An insect flies back and forth between both trains at 50 km/h. What distance will the insect fly before both trains touch each other?", "search_helpful": false, "source": "arena_hard", "label": "Sure, here is a simple Gambit Scheme program that reads lines from standard input, reverses them, and prints them to standard output:\n\n```scheme\n(define (reverse-line line)\n (list->string (reverse (string->list line))))\n\n(define (read-print-loop)\n (let ((line (read-line)))\n (if (not (eof-object? line))\n (begin\n (display (reverse-line line))\n (newline)\n (read-print-loop)))))\n\n(read-print-loop)\n```\n\nHere's how it works:\n\n- `reverse-line` is a function that takes a string, converts it to a list of characters, reverses that list, and then converts it back to a string.\n- `read-print-loop` is a function that reads a line from standard input, checks if it's the end of file (EOF), and if it's not, it reverses the line, prints it, and then calls itself recursively to process the next line.\n- The last line `(read-print-loop)` starts the read-print loop.\n\nPlease note that this program will keep reading lines until it encounters EOF. You can signal EOF by pressing Ctrl+D (or Ctrl+Z on Windows) in the terminal.", "metadata": null} +{"prompt": "how to train a vision transformer deep learning model in tensorflow", "search_helpful": false, "source": "arena_hard", "label": "This is a React functional component named `LoanLogoDropdown`. It takes two optional props: `forcePlaceLoanGuid` and `companyGuid`. \n\nThe component uses a custom hook `useGetCompanyLogosInfoByLoanGuidQuery` from `apiLoanQuery` to fetch company logos based on the `forcePlaceLoanGuid` prop. \n\nIf there are no company logos, the component returns `null`. \n\nIf there are company logos, it maps over them to create an array of objects with `key` and `value` properties. The `key` is the `portfolioIdentifier` and the `value` is the `logoDescription` from each logo object. \n\nThis array is then passed as the `data` prop to the `FieldDropDown` component, along with other props like `label`, `name`, `placeholder`, `labelColSize`, and `inputColSize`. \n\nThe `FieldDropDown` component presumably renders a dropdown field with the provided props.", "metadata": null} +{"prompt": "How can we put together multiple pertained encoders or decoders to create a new model?", "search_helpful": false, "source": "arena_hard", "label": "Introducing a new Deep Learning hardware accelerator to the market requires a robust software architecture that can support the complexities of deep learning algorithms and the high-performance requirements of the hardware. Here's a general outline of the software architecture that would be required:\n\n1. **Hardware Abstraction Layer (HAL):** This is the lowest level of the software architecture. It provides an interface to the hardware accelerator, abstracting the details of the hardware and providing a consistent interface to higher software layers. This allows the software to be portable across different hardware platforms.\n\n2. **Device Drivers:** These are specific to the hardware accelerator and provide the necessary software to control and interact with the hardware. They translate the high-level commands from the HAL into low-level commands that the hardware can understand.\n\n3. **Deep Learning Libraries:** These are software libraries that provide implementations of deep learning algorithms optimized for the hardware accelerator. Examples include cuDNN for NVIDIA GPUs and MIOpen for AMD GPUs. These libraries provide the necessary software infrastructure to run deep learning models on the hardware accelerator.\n\n4. **Deep Learning Frameworks:** These are high-level software frameworks that provide a user-friendly interface for developing and training deep learning models. Examples include TensorFlow, PyTorch, and Keras. These frameworks use the deep learning libraries to run the models on the hardware accelerator.\n\n5. **Model Deployment and Inference Engine:** This is the software component responsible for deploying the trained models and running inference on new data. It needs to be optimized for the hardware accelerator to ensure high performance and low latency.\n\n6. **Management and Monitoring Tools:** These tools are used to manage the hardware accelerator, monitor its performance, and troubleshoot any issues. They can also be used to optimize the performance of the deep learning models on the hardware accelerator.\n\n7. **Integration with Business Applications:** The deep learning models need to be integrated with the business applications that use them. This requires APIs and other integration points in the software architecture.\n\n8. **Security and Compliance:** The software architecture needs to include components for ensuring the security of the data and models, and for ensuring compliance with relevant regulations.\n\nThis software architecture needs to be flexible and scalable to support the evolving needs of the business and the rapid pace of advancements in deep learning and hardware accelerators. It also needs to be robust and reliable to support the critical business processes that depend on it.", "metadata": null} +{"prompt": "What is the most efficient way to uniformly sample a point inside a right angle triangle?", "search_helpful": false, "source": "arena_hard", "label": "Memory allocation in AWS Lambda directly affects the performance of your Node.js functions in several ways:\n\n1. **Execution Speed:** The more memory you allocate to your Lambda function, the more CPU power it gets. This means your function can execute faster and process more data in less time.\n\n2. **Concurrency:** AWS Lambda scales your applications by running more instances of your function concurrently. However, the total amount of memory allocated to all concurrent executions of a specific function cannot exceed your AWS Lambda resource limit. So, if you allocate more memory to a function, you might have fewer concurrent executions.\n\n3. **Cost:** The cost of AWS Lambda is directly proportional to the amount of memory allocated. More memory means higher cost. However, if more memory allows your function to execute faster, the overall cost might be lower because AWS Lambda charges you for the total execution time.\n\n4. **Timeouts and Errors:** If your function runs out of memory, AWS Lambda will terminate it and return an \"Out of Memory\" error. This can affect the reliability of your application.\n\n5. **Cold Starts:** The amount of memory allocated to your function can also affect the duration of cold starts (the latency experienced when a Lambda function is invoked after not being used for an extended period). Functions with more memory often have shorter cold start times.\n\nIn conclusion, choosing the right amount of memory for your AWS Lambda functions is a balancing act. You need to consider the nature of your tasks, the amount of data they process, the acceptable latency, and your budget. It's recommended to monitor your functions using AWS CloudWatch and adjust the memory allocation based on their performance and your requirements.", "metadata": null} +{"prompt": "write an animation script for a short action packed 35 second video, describe angles and actions. script must feature several characters", "search_helpful": false, "source": "arena_hard", "label": "I'm sorry for the confusion, but audio files cannot be directly converted into images using numpy, scikit-learn, and pillow libraries. However, you can convert audio files into spectrogram images using the librosa and matplotlib libraries. Here is a simple example of how to do this:\n\n```python\nimport librosa\nimport librosa.display\nimport matplotlib.pyplot as plt\n\n# Load the audio file\ny, sr = librosa.load('audio_file.wav')\n\n# Generate a spectrogram\nD = librosa.amplitude_to_db(np.abs(librosa.stft(y)), ref=np.max)\n\n# Display the spectrogram\nplt.figure(figsize=(10, 4))\nlibrosa.display.specshow(D, sr=sr, x_axis='time', y_axis='log')\nplt.colorbar(format='%+2.0f dB')\nplt.title('Spectrogram')\nplt.savefig('spectrogram.png')\nplt.show()\n```\n\nThis code will generate a spectrogram of the audio file and save it as an image. The y-axis represents frequency (log scale), and the x-axis represents time. The color represents the amplitude of the frequency at a particular time, with darker colors indicating higher amplitudes.\n\nPlease replace 'audio_file.wav' with the path to your audio file. Also, make sure to install the required libraries by running `pip install librosa matplotlib` in your terminal.", "metadata": null} +{"prompt": "I need a python script that connects to a qbittorrent client using the api and removes a specified tracker from all torrents", "search_helpful": false, "source": "arena_hard", "label": "Sure, I can help with that. Here's a simple Python function that will convert your 1-7 scale to a 0-1 scale, where 1 is the best:\n\n```python\ndef convert_scale(old_value):\n # Subtract old_value from 8 to reverse the scale (1 becomes 7, 7 becomes 1)\n reversed_value = 8 - old_value\n # Divide by 7 to normalize to 0-1 scale\n new_value = reversed_value / 7\n return new_value\n```\n\nYou can use this function like so:\n\n```python\nprint(convert_scale(1)) # Outputs: 1.0\nprint(convert_scale(7)) # Outputs: 0.14285714285714285\n```\n\nThis function works by first reversing the scale (so that 1 becomes 7 and 7 becomes 1) and then normalizing the result to the 0-1 range.", "metadata": null} +{"prompt": "write a python script that reads from stdin and extracts all watch?v= hrefs and prints youtube watch urls", "search_helpful": false, "source": "arena_hard", "label": "Sure, I'd be happy to help you with that. In JavaScript, you can use the `fs` (file system) module to read files. However, this is a Node.js module, which means it can only be used in a Node.js environment, not in a browser.\n\nHere's a simple example of how you can read a CSV file in JavaScript:\n\n```javascript\nconst fs = require('fs');\nconst parse = require('csv-parse');\n\nfs.readFile('yourfile.csv', 'utf8', function(err, data){\n if (err) {\n console.error(err);\n return;\n }\n parse(data, {}, function(err, output){\n if (err) {\n console.error(err);\n return;\n }\n console.log(output);\n });\n});\n```\n\nHere's what each part of the code does:\n\n1. `const fs = require('fs');` - This line imports the `fs` module, which provides an API to interact with the file system.\n\n2. `const parse = require('csv-parse');` - This line imports the `csv-parse` module, which is a flexible parser for CSV, it's not a built-in module, you need to install it via npm (`npm install csv-parse`).\n\n3. `fs.readFile('yourfile.csv', 'utf8', function(err, data){...});` - This line reads the file 'yourfile.csv' with utf8 encoding. When the file has been read, the callback function is called. The callback function takes two arguments: `err` (which holds any error that occurred), and `data` (which holds the contents of the file).\n\n4. `if (err) {...}` - This block will execute if there was an error reading the file. It logs the error and then returns to exit the function.\n\n5. `parse(data, {}, function(err, output){...});` - This line parses the CSV data. When the data has been parsed, the callback function is called. The callback function takes two arguments: `err` (which holds any error that occurred), and `output` (which holds the parsed data).\n\n6. `if (err) {...}` - This block will execute if there was an error parsing the data. It logs the error and then returns to exit the function.\n\n7. `console.log(output);` - This line logs the parsed data.\n\nRemember, this code needs to be run in a Node.js environment, not in a browser. Also, you need to replace `'yourfile.csv'` with the path to the CSV file you want to read.", "metadata": null} +{"prompt": "browser console direct download a page using url", "search_helpful": false, "source": "arena_hard", "label": "To download a webpage directly using the browser console, you can use JavaScript's `fetch` API and `Blob` object. Here's a simple example:\n\n1. Open the browser console. You can usually do this by right-clicking on the webpage and selecting \"Inspect\" or \"Inspect Element\", then navigating to the \"Console\" tab.\n\n2. Copy and paste the following code into the console, replacing `url` with the URL of the page you want to download:\n\n```javascript\nfetch('url')\n .then(response => response.text())\n .then(data => {\n const blob = new Blob([data], {type: \"text/html\"});\n const url = URL.createObjectURL(blob);\n const a = document.createElement('a');\n a.href = url;\n a.download = 'filename.html';\n a.click();\n });\n```\n\nThis code fetches the webpage at the given URL, creates a new Blob object from the response data, creates a new URL representing the Blob, and then creates a new `a` (anchor) element and simulates a click on it to download the file.\n\nPlease note that due to CORS (Cross-Origin Resource Sharing) restrictions, this might not work with all URLs. If the server doesn't allow cross-origin requests, you'll get an error.", "metadata": null} +{"prompt": "write a program in rust that reads urls from a file and separetes youtube urls from other urls and download the youtube urls using yt-dlp", "search_helpful": false, "source": "arena_hard", "label": "| Column A (Statements) | Column B (Percentage Likelihood of Match) |\n|----------------------|-------------------------------------------|\n| How valued do employees currently feel through the training opportunities that the company provides? | 0% |\n| What was the level of employee productivity in different business areas last month? | 0% |\n| What type of managers are currently driving higher productivity in the business? | 0% |\n| What types of culture do different managers create? | 0% |\n| Are our offers being rejected due to too low salary offers? | 50% |\n| How confident are leaders about the current succession process across the company? | 0% |\n| How long does it currently take to develop skills for critical job roles in different business areas? | 0% |\n| What was the cost of terminations to the company last year? | 0% |\n| How does training affect absence rates in by business area? | 0% |\n| What drives terminations among HiPo and HiPe? | 0% |\n| What were the business areas HiPo and HiPe termination rates last year? | 0% |\n| What types of candidates have rejected our job offers in the last year? | 90% |\n| Why different types of candidates have rejected our job offers in the last year? | 100% |\n| What is the current availability of different types of talent in the labour market? | 0% |\n| What was the impact of diversity hiring on the organisation's diversity levels in the past two years? | 0% |\n| What stages of the current recruitment process can be improved? | 0% |\n| What evidence is needed to ensure an accurate selection of new leaders in my business area? | 0% |\n| How much do we currently spend on L&D across the organisation? | 0% |\n| How effective are managers in my business area? | 0% |\n| What is the current total employee reward cost in different business areas? | 0% |\n| What percentage of employees in critical roles have currently a succession plan? | 0% |\n| What locations are currently having difficulty hiring certain roles? | 0% |\n| How positive of an impact has hybrid working on improving DE&I at our business locations? | 0% |\n| How long does it take for a new hire to become productive in my business area? | 0% |\n| What is the current retention rate of high and low potential employees in this business area? | 0% |\n| What is the total cost of recruitment? | 0% |", "metadata": null} +{"prompt": "Create a sierpinski triangle in XAML", "search_helpful": false, "source": "arena_hard", "label": "Implementing a Recurrent Neural Network (RNN) from scratch in TypeScript is quite complex and requires a deep understanding of both the language and the mathematical concepts behind neural networks. However, I can provide a simple example of how you might start to structure an RNN in TypeScript.\n\nPlease note that this is a very simplified version and doesn't include important aspects like backpropagation through time (BPTT), various activation functions, or optimization techniques like gradient descent. It's also worth mentioning that in a real-world scenario, you'd likely use a library like TensorFlow.js which provides high-level APIs for building and training neural networks.\n\n```typescript\nclass Neuron {\n weights: number[];\n bias: number;\n\n constructor(weights: number[], bias: number) {\n this.weights = weights;\n this.bias = bias;\n }\n\n feedForward(inputs: number[]): number {\n let total = this.bias;\n for (let i = 0; i < this.weights.length; i++) {\n total += this.weights[i] * inputs[i];\n }\n return this.activate(total);\n }\n\n activate(value: number): number {\n // Sigmoid activation function\n return 1 / (1 + Math.exp(-value));\n }\n}\n\nclass RNN {\n hiddenLayer: Neuron[];\n outputLayer: Neuron[];\n\n constructor(hiddenLayer: Neuron[], outputLayer: Neuron[]) {\n this.hiddenLayer = hiddenLayer;\n this.outputLayer = outputLayer;\n }\n\n feedForward(inputs: number[]): number[] {\n let hiddenOutputs = this.hiddenLayer.map(neuron => neuron.feedForward(inputs));\n return this.outputLayer.map(neuron => neuron.feedForward(hiddenOutputs));\n }\n}\n```\n\nIn this example, we have a `Neuron` class that represents a single neuron in the network. It has a `feedForward` method that calculates the weighted sum of its inputs and passes the result through an activation function (in this case, the sigmoid function).\n\nThe `RNN` class represents the neural network itself. It has a `feedForward` method that feeds the inputs through the hidden layer and then the output layer to produce the final outputs.\n\nAgain, this is a very simplified example and doesn't include many of the features you'd need for a practical RNN. For a more complete implementation, you'd likely want to use a library like TensorFlow.js.", "metadata": null} +{"prompt": "How can I print to textbox in pyqt6?", "search_helpful": false, "source": "arena_hard", "label": "To visualize this sentiment analysis data, you can use a line graph or a bar chart. Here's how you can do it:\n\n1. Line Graph: Plot the dates on the x-axis and the scores on the y-axis. You can use two different colored lines to represent positive and negative sentiments. This will help you visualize the sentiment score trend over time.\n\n2. Bar Chart: Similar to the line graph, you can use a bar chart with dates on the x-axis and scores on the y-axis. Different colored bars can represent positive and negative sentiments.\n\nInferences that can be drawn from this data:\n\n1. Sentiment Trend: You can observe the overall sentiment trend over time. For example, if the sentiment scores are generally high, it indicates a positive sentiment trend.\n\n2. Sentiment Shifts: You can identify specific dates where there was a significant shift in sentiment. For example, on 10/9/2023, there is a negative sentiment followed by two positive sentiments.\n\n3. Sentiment Score Range: You can observe the range of sentiment scores. For example, the positive sentiment scores range from 0.96588254 to 0.99986887, while the negative sentiment scores range from 0.804733217 to 0.833251178.\n\n4. Frequency of Sentiments: You can count the number of positive and negative sentiments to understand the frequency of each sentiment.\n\nRemember, the interpretation of this data largely depends on the context in which the sentiment analysis was performed. For example, if this data is from customer reviews, a high positive sentiment score indicates customer satisfaction.", "metadata": null} +{"prompt": " The prediction is in the IF stage while updating is in the ID stage. Think about two\ncontinuous branch instructions: the first one is in the ID stage, and the second is in the IF\nstage. What is the order of updating the first result and querying the second prediction? How\nto control the order? How do local-based and global-based prediction algorithms be affected\nby the order?", "search_helpful": false, "source": "arena_hard", "label": "Learning Deep Learning is a step-by-step process that requires a solid understanding of the foundational concepts. Here's a suggested order to learn Deep Learning:\n\n1. **Mathematical Foundations**: Start with the basics of linear algebra, calculus, and probability. You should understand concepts like matrices, vectors, differentiation, integration, and basic probability theory.\n\n2. **Programming**: Familiarize yourself with a programming language commonly used in machine learning, such as Python. You should also learn how to use libraries like NumPy, Pandas, and Matplotlib.\n\n3. **Machine Learning Basics**: Before diving into deep learning, it's important to understand the basics of machine learning. Learn about supervised learning, unsupervised learning, and reinforcement learning. Understand concepts like regression, classification, clustering, and dimensionality reduction.\n\n4. **Neural Networks and Deep Learning**: Start with the basics of neural networks, including how they're structured and how they work. Then, move on to deep learning. Understand concepts like backpropagation, gradient descent, and activation functions.\n\n5. **Convolutional Neural Networks (CNNs)**: These are used primarily for image processing tasks. Learn about convolutional layers, pooling layers, and how to structure a CNN.\n\n6. **Recurrent Neural Networks (RNNs)**: These are used for sequential data like time series or natural language. Understand the problems of long sequences and learn about solutions like Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU).\n\n7. **Regularization Techniques**: Learn about techniques to prevent overfitting, such as dropout, early stopping, and L1/L2 regularization.\n\n8. **Optimization Algorithms**: Understand more advanced optimization algorithms used in deep learning like RMSProp, Adam, and learning rate decay.\n\n9. **Transfer Learning**: Learn how to use pre-trained models on new tasks. This is a common technique for tasks where the dataset is small.\n\n10. **Generative Adversarial Networks (GANs)**: These are a class of AI algorithms used in unsupervised machine learning, implemented by a system of two neural networks contesting with each other in a zero-sum game framework.\n\n11. **Attention Mechanisms and Transformers**: Finally, learn about attention mechanisms, which allow models to focus on specific parts of the input, and transformers, which are a type of model architecture that use attention mechanisms.\n\n12. **Current Research and Advanced Topics**: Once you have a solid understanding of the basics, you can start diving into current research and more advanced topics. This could include things like reinforcement learning, unsupervised learning, or domain-specific applications of deep learning.\n\nRemember, this is a complex field and it takes time to understand and master these concepts. Don't rush, take your time to understand each concept thoroughly before moving on to the next. Good luck!", "metadata": null} +{"prompt": "What's the most reliable way to shape a high hydration whole wheat baguette?", "search_helpful": false, "source": "arena_hard", "label": "A document retrieval-based chatbot can be built using sklearn's TF-IDF vectorizer and cosine similarity for finding the most similar document. Here's a simple example:\n\n```python\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom sklearn.metrics.pairwise import cosine_similarity\n\nclass DocumentRetrievalChatbot:\n def __init__(self, docs):\n self.vectorizer = TfidfVectorizer()\n self.docs = docs\n self.tfidf = self.vectorizer.fit_transform(docs)\n\n def get_response(self, input_text):\n query_vec = self.vectorizer.transform([input_text])\n similarity_scores = cosine_similarity(query_vec, self.tfidf).flatten()\n max_sim_index = similarity_scores.argmax()\n return self.docs[max_sim_index]\n\n# Usage\ndocs = [\"Document 1 text\", \"Document 2 text\", \"Document 3 text\"]\nchatbot = DocumentRetrievalChatbot(docs)\n\ninput_text = \"Some input text\"\nresponse = chatbot.get_response(input_text)\nprint(response)\n```\n\nThis is a very basic model and might not perform well on complex tasks. For a more sophisticated model, you might want to look into using more advanced techniques like word embeddings (Word2Vec, GloVe, etc.), sentence embeddings (Doc2Vec, Universal Sentence Encoder, etc.), or even transformer models (BERT, GPT-2, etc.). Also, you might want to use a more sophisticated measure for text similarity, like BM25 or a neural network-based approach.", "metadata": null} +{"prompt": "Write a C# program which sends a POST request. Make sure a client certificate is attached to the request.", "search_helpful": false, "source": "arena_hard", "label": "Sure, here are some ideas on how to implement a system like this:\n\n1. **Time Series Analysis**: You can use time series analysis to model the execution time of the job. This will allow you to account for trends, seasonality (like day of the week), and sudden jumps in the execution time. \n\n2. **Adaptive Thresholding**: Instead of using a fixed threshold (like the high 1%), you can use an adaptive threshold that changes based on the recent history of execution times. This could be a certain number of standard deviations away from a moving average, for example.\n\n3. **Change Point Detection**: To handle sudden jumps in execution time, you can use change point detection algorithms. These algorithms can detect when the statistical properties of the data change, which can indicate a sudden increase in execution time.\n\n4. **Machine Learning**: You can use machine learning algorithms to predict the execution time of the job based on historical data and other features (like day of the week, type of transactions, etc.). If the actual execution time is significantly higher than the predicted time, you can send an alert.\n\n5. **Anomaly Detection**: Anomaly detection algorithms can be used to detect unusual execution times. These algorithms can be trained on the historical data and can then detect when a new execution time is an outlier.\n\n6. **Segmentation**: If the execution time depends on factors like the day of the week or the type of transactions, you can segment the data based on these factors and calculate separate thresholds for each segment.\n\n7. **Trend Analysis**: If there is a global upward trend in execution time, this can be incorporated into the threshold calculation. For example, you could use a linear regression to model the trend and then calculate the threshold based on the residuals.\n\n8. **Feedback Loop**: Implement a feedback loop where the system learns from the alerts that were triggered. If certain alerts are consistently false positives, the system can learn to adjust the threshold or ignore certain factors.\n\nRemember, the key to a successful implementation is to continuously monitor and adjust the system as necessary. This will help ensure that the system remains effective as the data and underlying processes change over time.", "metadata": null} +{"prompt": "c# extract hashtags from text", "search_helpful": false, "source": "arena_hard", "label": "The electric field E at the center of a uniformly charged ring is given by the formula:\n\nE = kQ/R^2\n\nwhere:\n- k is Coulomb's constant (8.99 x 10^9 N m^2/C^2),\n- Q is the total charge on the ring,\n- R is the radius of the ring.\n\nThe force F on a charge q due to an electric field E is given by the formula:\n\nF = qE\n\nSubstituting the formula for E into the formula for F gives:\n\nF = qkQ/R^2\n\nSubstituting the given values into this formula gives:\n\nF = (-75 x 10^-6 C)(8.99 x 10^9 N m^2/C^2)(275 x 10^-6 C)/(0.75 m)^2\n\nSolving this gives:\n\nF = -2.21 N\n\nThe negative sign indicates that the force is attractive (i.e., it pulls the point charge towards the ring). However, since the question asks for the magnitude of the force, we can ignore the sign and say that the force is 2.21 N.", "metadata": null} +{"prompt": "I have part of my html code here:\n
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Add last used RFID card as new user
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Card: {{ latest_key[:8] + \"...\" + latest_key[-8:]}} was triggered at: 20:57AM

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