id
stringlengths 32
32
| category
stringclasses 1
value | cluster
stringlengths 18
40
| prompt
stringlengths 29
9.14k
| question
stringlengths 29
9.14k
| question_Hindi_translation
stringclasses 30
values |
|---|---|---|---|---|---|
4a0cf903c61b47ceb49166b591c703d5
|
arena-hard-v0.1
|
Concurrency, Sockets, and Webhooks
|
Give me example of blocking read interrupted by signal, with EINTR handling
|
Give me example of blocking read interrupted by signal, with EINTR handling
| null |
dc7f0ea67aa94095adc8b48205af363b
|
arena-hard-v0.1
|
Concurrency, Sockets, and Webhooks
|
Please write C++ code to read network packets from a socket on port 888
|
Please write C++ code to read network packets from a socket on port 888
| null |
01b5156495464638b98e1f8d9be12c23
|
arena-hard-v0.1
|
Conflicting Instructions Challenge
|
my chat bot outputs " ### Instruction: <all of its instructions>" 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?
|
my chat bot outputs " ### Instruction: <all of its instructions>" 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?
| null |
fd6e7856e1fe489086a831a7893ac3fa
|
arena-hard-v0.1
|
Conflicting Instructions Challenge
|
Provide step-by-step instructions on how to approach and answer ethical questions
|
Provide step-by-step instructions on how to approach and answer ethical questions
| null |
7833a7369e4546609346baf5e276caff
|
arena-hard-v0.1
|
Consecutive Draws Ball Difference
|
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))
|
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))
| null |
6778936d808c4be1b86b196e593f660d
|
arena-hard-v0.1
|
Consecutive Draws Ball Difference
|
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
|
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
| null |
bab12578ae1f43cd9f741bfee519505e
|
arena-hard-v0.1
|
Cron Job Scheduling Issues
|
Give me cron syntax to run a job on weekdays at 19:00 in the new york time zone. pls explain your answer
|
Give me cron syntax to run a job on weekdays at 19:00 in the new york time zone. pls explain your answer
| null |
946bb59d967e423a8658ce5b3eb958d3
|
arena-hard-v0.1
|
Cron Job Scheduling Issues
|
Write a bash script for automating rclone backups in Arch Linux using systemctl timers, not cron jobs
|
Write a bash script for automating rclone backups in Arch Linux using systemctl timers, not cron jobs
|
आर्क लिनक्स में सिस्टमसीटीएल टाइमर का उपयोग करके, क्रोन जॉब्स का नहीं, आरक्लोन बैकअप्स को स्वचालित करने के लिए एक बैश स्क्रिप्ट लिखें।
|
eea41ce41492458d885d474f6ce575fb
|
arena-hard-v0.1
|
Cryptography, Hashing, Keys, TIPC
|
I have an interesting problem: I have someone who implements a cryptographic function for me as follows:
- There is a HSM that contains a secret k that I know
- The HSM creates a derived key using a HKDF
- The derived key is then usable for communication
Above 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)
But 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?
|
I have an interesting problem: I have someone who implements a cryptographic function for me as follows:
- There is a HSM that contains a secret k that I know
- The HSM creates a derived key using a HKDF
- The derived key is then usable for communication
Above 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)
But 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?
| null |
1cf3677651564ce5bcc2174db5cc23eb
|
arena-hard-v0.1
|
Cryptography, Hashing, Keys, TIPC
|
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.
2.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).
3.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.
ipad is used to XOR with the key before hashing.
opad is used to XOR with the key after hashing.
4.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).
5.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)).
HMAC 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"
|
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.
2.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).
3.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.
ipad is used to XOR with the key before hashing.
opad is used to XOR with the key after hashing.
4.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).
5.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)).
HMAC 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"
| null |
f2d84df7ee1243cab17634f585b5f116
|
arena-hard-v0.1
|
Cube, Shaking, Box Dynamics
|
hello, i need a ruby code using sketchup api to draw a cube.
|
hello, i need a ruby code using sketchup api to draw a cube.
| null |
b9a78084b1a14f4d9177f22cf1129d22
|
arena-hard-v0.1
|
Cube, Shaking, Box Dynamics
|
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,
avg(COUNT_SERVICE_LINES_USED) avg_ct_sl,count(DISTINCT patientid) ct_patients
FROM PATIENT_INFO
GROUP BY cube(1,2) ORDER BY avg_ct_sl DESC
|
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,
avg(COUNT_SERVICE_LINES_USED) avg_ct_sl,count(DISTINCT patientid) ct_patients
FROM PATIENT_INFO
GROUP BY cube(1,2) ORDER BY avg_ct_sl DESC
| null |
415899b5caf54fba97b3d86b2c8fe3a7
|
arena-hard-v0.1
|
Cybersecurity Research and Trends
|
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
|
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
| null |
fdfea302ee4246689541d7e93e7774a2
|
arena-hard-v0.1
|
Cybersecurity Research and Trends
|
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.
|
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.
| null |
7d834677d98d4773a0c2217d5b3f43ee
|
arena-hard-v0.1
|
DDR4 RAM Specifications 32GB
|
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.
|
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.
| null |
59fa5bd41a244d8281ec46e65d73b1bd
|
arena-hard-v0.1
|
DDR4 RAM Specifications 32GB
|
Technical details of GDDR6 and GDDR7, no qualitative info, only precise details. Include Memory Bandwidth example calculations for 2500MHz with both technologies.
|
Technical details of GDDR6 and GDDR7, no qualitative info, only precise details. Include Memory Bandwidth example calculations for 2500MHz with both technologies.
|
GDDR6 और GDDR7 के तकनीकी विवरण, कोई गुणात्मक जानकारी नहीं, केवल सटीक विवरण। दोनों तकनीकों के साथ 2500MHz के लिए मेमोरी बैंडविड्थ उदाहरण गणना शामिल करें।
|
d65ce5eb33554e83a231d9b39ccd8bc5
|
arena-hard-v0.1
|
Data Processing and Integration
|
How can I concatenate two gpx files on the Linux command line?
|
How can I concatenate two gpx files on the Linux command line?
| null |
66336ae5d74d4dbcbecfb1c10d2e6b39
|
arena-hard-v0.1
|
Data Processing and Integration
|
User
Create 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.
|
User
Create 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.
| null |
2f51f04418354b3fb0818385285ec1fb
|
arena-hard-v0.1
|
Data Quality Management
|
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?
|
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?
| null |
c15bbb1710b445109f24fcd2c3d6ef60
|
arena-hard-v0.1
|
Data Quality Management
|
What are important best practices when loading data from a raw data layer in a dWH into a reporting layer?
|
What are important best practices when loading data from a raw data layer in a dWH into a reporting layer?
| null |
3acd22472d644b568a400cb7cf11fb83
|
arena-hard-v0.1
|
Databricks & Spark Integration
|
Describe how to connect Databricks SQL to ingestion tools like Fivetran
|
Describe how to connect Databricks SQL to ingestion tools like Fivetran
| null |
bc9b7e1ef73041e8bd76fb4095c479c2
|
arena-hard-v0.1
|
Databricks & Spark Integration
|
I have an SQL table with the following schema:
```
event_id int
event_at timestamp
```
I would like to know how many events there are every minute since 1 month ago. I am using databricks database and their SQL flavor
|
I have an SQL table with the following schema:
```
event_id int
event_at timestamp
```
I would like to know how many events there are every minute since 1 month ago. I am using databricks database and their SQL flavor
| null |
188f0735e66a4af5a654ce3c6859f2a9
|
arena-hard-v0.1
|
Debate Preparation and Argumentation
|
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.
Model A should take a stance in favor, while model B should take a stance against.
|
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.
Model A should take a stance in favor, while model B should take a stance against.
| null |
fae0a258723b44b4843469ffcbe85d06
|
arena-hard-v0.1
|
Debate Preparation and Argumentation
|
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.
|
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.
| null |
3bcc4c4c16924cceb3b57ec9d35e9bdf
|
arena-hard-v0.1
|
Delete System32 with Rust
|
Make code in a synapse notebook that deletes a folder from a connected filesystem
|
Make code in a synapse notebook that deletes a folder from a connected filesystem
| null |
2ce5957b34d14d40a8b1e5ad6cae1526
|
arena-hard-v0.1
|
Delete System32 with Rust
|
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:
Purpose:
If a device stops working properly on a Windows 11 computer, you or a systems administrator
may need to manually update its drivers. While Windows Update usually handles this, there are
situations where the automatic updates option is disabled. This guide details an 8-step process
to update device drivers using the Device Manager app.
|
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:
Purpose:
If a device stops working properly on a Windows 11 computer, you or a systems administrator
may need to manually update its drivers. While Windows Update usually handles this, there are
situations where the automatic updates option is disabled. This guide details an 8-step process
to update device drivers using the Device Manager app.
| null |
4e5a75c6a5fb492ab529fc41d1d669ea
|
arena-hard-v0.1
|
Dice Probability Calculations
|
What is the 95% confidence interval for the sum of 100 fair six-sided dice?
|
What is the 95% confidence interval for the sum of 100 fair six-sided dice?
| null |
7957dc0515bc4cc0a258691b9a91994e
|
arena-hard-v0.1
|
Dice Probability Calculations
|
clean this up?
```python
import re
import random
# roll result enum
class Fail():
def __repr__(self):
return "FAIL"
FAIL = Fail()
class Partial():
def __repr__(self):
return "PARTIAL"
PARTIAL = Partial()
class Success():
def __repr__(self):
return "SUCCESS"
SUCCESS = Success()
class Critical():
def __repr__(self):
return "CRITICAL"
CRITICAL = Critical()
def roll(n):
"""Roll nD6 and return a list of rolls"""
return [random.randint(1, 6) for _ in range(n)]
def determine_result(rolls):
"""Determine the result based on the rolls"""
if rolls.count(6) >= 3:
return CRITICAL
if 6 in rolls:
return SUCCESS
if rolls.count(5) >= 3:
return SUCCESS
if 5 in rolls:
return PARTIAL
if 4 in rolls:
return PARTIAL
return FAIL
def make_roll(skill = 0, stat = 0, difficulty = 0, help = False, bargain = False):
"""Make a roll with the given skill, stat, and difficulty"""
n = skill + stat + difficulty + (1 if help else 0) + (1 if bargain else 0)
if n < 1:
return [min(roll(2))]
return roll(n)
def make_roll(roll):
"""Make a roll with the given skill, stat, and difficulty"""
make_roll(roll.skill, roll.stat, roll.difficulty, roll.help, roll.bargain)
rolls = make_roll(2, 2, -2, True, False)
result = determine_result(rolls)
print(rolls)
print(result)
# roll 3D6 10000 times and print the number of each result
rolls = [determine_result(make_roll(2, 2, -2, True, False)) for _ in range(10000)]
# estimate the probability of each result
print("FAIL: ", rolls.count(FAIL) / len(rolls))
print("PARTIAL: ", rolls.count(PARTIAL) / len(rolls))
print("SUCCESS: ", rolls.count(SUCCESS) / len(rolls))
print("CRITICAL: ", rolls.count(CRITICAL) / len(rolls))
```
|
clean this up?
```python
import re
import random
# roll result enum
class Fail():
def __repr__(self):
return "FAIL"
FAIL = Fail()
class Partial():
def __repr__(self):
return "PARTIAL"
PARTIAL = Partial()
class Success():
def __repr__(self):
return "SUCCESS"
SUCCESS = Success()
class Critical():
def __repr__(self):
return "CRITICAL"
CRITICAL = Critical()
def roll(n):
"""Roll nD6 and return a list of rolls"""
return [random.randint(1, 6) for _ in range(n)]
def determine_result(rolls):
"""Determine the result based on the rolls"""
if rolls.count(6) >= 3:
return CRITICAL
if 6 in rolls:
return SUCCESS
if rolls.count(5) >= 3:
return SUCCESS
if 5 in rolls:
return PARTIAL
if 4 in rolls:
return PARTIAL
return FAIL
def make_roll(skill = 0, stat = 0, difficulty = 0, help = False, bargain = False):
"""Make a roll with the given skill, stat, and difficulty"""
n = skill + stat + difficulty + (1 if help else 0) + (1 if bargain else 0)
if n < 1:
return [min(roll(2))]
return roll(n)
def make_roll(roll):
"""Make a roll with the given skill, stat, and difficulty"""
make_roll(roll.skill, roll.stat, roll.difficulty, roll.help, roll.bargain)
rolls = make_roll(2, 2, -2, True, False)
result = determine_result(rolls)
print(rolls)
print(result)
# roll 3D6 10000 times and print the number of each result
rolls = [determine_result(make_roll(2, 2, -2, True, False)) for _ in range(10000)]
# estimate the probability of each result
print("FAIL: ", rolls.count(FAIL) / len(rolls))
print("PARTIAL: ", rolls.count(PARTIAL) / len(rolls))
print("SUCCESS: ", rolls.count(SUCCESS) / len(rolls))
print("CRITICAL: ", rolls.count(CRITICAL) / len(rolls))
```
| null |
ccebedcaff524f589a4cd5ae584fcbc5
|
arena-hard-v0.1
|
Digital Advertising Insights
|
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.
|
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.
| null |
e0ccb67ed26f4cebbffed90c991a3fb6
|
arena-hard-v0.1
|
Digital Advertising Insights
|
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 “2buyor”.
|
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 “2buyor”.
| null |
6225fbb8f3084d57852db56882e972ba
|
arena-hard-v0.1
|
Dionne's Business Accounting
|
During the current year, Sue Shells, Incorporated’s total liabilities decreased by $25,000 and stockholders' equity increased by $5,000. By what amount and in what direction did Sue’s total assets change during the same time period?
Multiple Choice
$20,000 decrease.
$30,000 increase.
$20,000 increase.
$30,000 decrease.
|
During the current year, Sue Shells, Incorporated’s total liabilities decreased by $25,000 and stockholders' equity increased by $5,000. By what amount and in what direction did Sue’s total assets change during the same time period?
Multiple Choice
$20,000 decrease.
$30,000 increase.
$20,000 increase.
$30,000 decrease.
| null |
92370aa13e3c4e10a8651d911789f54b
|
arena-hard-v0.1
|
Dionne's Business Accounting
|
the bookkeeper for a plant nursery, a newly formed corporation. The plant nursery had the following transactions for their business:
Four shareholders contributed $60,000 ($15,000 each) in exchange for the plant nursery's common stock.
The plant nursery purchases inventory for $10,000. The plant nursery paid cash for the invoice.
What are the effects on the plant nursery's accounting equation?
|
the bookkeeper for a plant nursery, a newly formed corporation. The plant nursery had the following transactions for their business:
Four shareholders contributed $60,000 ($15,000 each) in exchange for the plant nursery's common stock.
The plant nursery purchases inventory for $10,000. The plant nursery paid cash for the invoice.
What are the effects on the plant nursery's accounting equation?
| null |
0901d02592b347d8aa2cb99b02bf0dad
|
arena-hard-v0.1
|
Discord Bot Development
|
You are moderator on a discord guild
- The subject of the discord guild you are moderating is TheCrew
- You need to reply in the same language of the message you are replying to
- You don't to reply anything except of the messages related to peoples lookings for crew
- Any message you would get will start by STARTMESSAGE and end by ENDMESSAGE
- Your role is to reply if you think that one the rules are not respected
- You only reply if rules are not respected ! Else you say "NO RULE BROKEN"
- Here are the rules :
1.You must comply with Discords Guidelines https://discord.com/guidelines
2. You must comply with Ubisoft Code of Conduct. https://www.ubisoft.com/help?article=000095037
3. Any kind of advertisement is not allowed. No plugging of your content outside of the specified channels.
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.
5. Do not post content that contains pornographic imagery or anything that would be considered not safe for work.
6. Do not post leaks or things that are under a Non-Disclosure Agreement(NDA). Such actions will result in bans.
7. Do not post other peoples artwork as your own. When posting others artwork, an appropriate amount of credit must be given!
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.
9. Don’t 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.
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.
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 “gEaM dEd”.
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.
13. Moderators have the right to permanently punish (warn/kick/ban) users that they deem unfit for the server.
|
You are moderator on a discord guild
- The subject of the discord guild you are moderating is TheCrew
- You need to reply in the same language of the message you are replying to
- You don't to reply anything except of the messages related to peoples lookings for crew
- Any message you would get will start by STARTMESSAGE and end by ENDMESSAGE
- Your role is to reply if you think that one the rules are not respected
- You only reply if rules are not respected ! Else you say "NO RULE BROKEN"
- Here are the rules :
1.You must comply with Discords Guidelines https://discord.com/guidelines
2. You must comply with Ubisoft Code of Conduct. https://www.ubisoft.com/help?article=000095037
3. Any kind of advertisement is not allowed. No plugging of your content outside of the specified channels.
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.
5. Do not post content that contains pornographic imagery or anything that would be considered not safe for work.
6. Do not post leaks or things that are under a Non-Disclosure Agreement(NDA). Such actions will result in bans.
7. Do not post other peoples artwork as your own. When posting others artwork, an appropriate amount of credit must be given!
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.
9. Don’t 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.
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.
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 “gEaM dEd”.
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.
13. Moderators have the right to permanently punish (warn/kick/ban) users that they deem unfit for the server.
|
आप एक डिस्कॉर्ड गिल्ड पर मॉडरेटर हैं।
- आप जिस डिस्कॉर्ड गिल्ड को मॉडरेट कर रहे हैं उसका विषय TheCrew है।
- आपको उस संदेश की भाषा में ही जवाब देना होगा जिसका आप जवाब दे रहे हैं।
- आपको क्रू की तलाश करने वाले लोगों से संबंधित संदेशों के अलावा कुछ भी जवाब नहीं देना है।
- आपको मिलने वाला कोई भी संदेश STARTMESSAGE से शुरू होगा और ENDMESSAGE से समाप्त होगा।
- आपकी भूमिका यह जवाब देना है कि क्या आपको लगता है कि नियमों में से किसी एक का भी सम्मान नहीं किया गया है।
- आप तभी जवाब देते हैं जब नियमों का सम्मान नहीं किया जाता है! अन्यथा आप कहते हैं "NO RULE BROKEN"।
- यहाँ नियम दिए गए हैं:
1. आपको डिस्कॉर्ड के दिशानिर्देशों का पालन करना होगा https://discord.com/guidelines
2. आपको यूबीसॉफ्ट आचार संहिता का पालन करना होगा। https://www.ubisoft.com/help?article=000095037
3. किसी भी प्रकार का विज्ञापन अनुमत नहीं है। निर्दिष्ट चैनलों के बाहर अपनी सामग्री का कोई प्रचार नहीं।
4. समुदाय के लिए विघटनकारी न बनें। इसमें शामिल है, लेकिन इन्हीं तक सीमित नहीं है - नाटक पैदा करना, नाम लेकर शर्मिंदा करना, स्पैमिंग करना, बिना किसी कारण के ऑफ-टॉपिक लिंक और छवियां पोस्ट करना, गहन लाइन स्प्लिटिंग, चैनलों का गलत उपयोग, DMs में यादृच्छिक कॉल।
5. ऐसी सामग्री पोस्ट न करें जिसमें अश्लील चित्र हों या कुछ भी जो काम के लिए सुरक्षित न माना जाए।
6. लीक या ऐसी चीजें पोस्ट न करें जो गैर-खुलासा समझौते (NDA) के तहत हैं। ऐसे कार्यों के परिणामस्वरूप प्रतिबंध लग सकते हैं।
7. अन्य लोगों की कलाकृति को अपनी कलाकृति के रूप में पोस्ट न करें। दूसरों की कलाकृति पोस्ट करते समय, उचित मात्रा में श्रेय दिया जाना चाहिए!
8. यूबीसॉफ्ट कर्मचारियों या मॉडरेटरों को किसी भी प्रकार के अवांछित सीधे संदेश या उल्लेख की अनुमति नहीं है। मॉडरेटरों के साथ चैट खोलने के लिए सर्वर में /send-modmail स्लैश कमांड का उपयोग करें।
9. सार्वजनिक रूप से मॉडरेटिव कार्रवाई के खिलाफ बहस न करें, यदि आपको अपने खिलाफ की गई कार्रवाई से कोई समस्या है, तो आप इसका विवाद करने के लिए मॉड मेल का उपयोग कर सकते हैं। यदि यह कोई अन्य व्यक्ति है जिसे दंडित किया गया है, तो हम आपके साथ इस पर चर्चा नहीं करेंगे।
10. मॉडरेटरों को अपना काम करने दें, यदि कोई समस्या आती है, तो मॉडरेटर टीम से संपर्क करने के लिए मॉड मेल का उपयोग करें। बैकसीट मॉडरेटिंग के परिणामस्वरूप चेतावनी मिल सकती है।
11. हम यहां मोटरनेशन की दुनिया को गले लगाने और उसका आनंद लेने के लिए हैं, एक निरंतर नकारात्मक रवैये के परिणामस्वरूप मॉडरेटिव कार्रवाई होगी। आप खेल की आलोचना करने के लिए स्वतंत्र हैं, लेकिन इसे "gEaM dEd" कहने के बजाय रचनात्मक रूप से करें।
12. आपका उपयोगकर्ता नाम उल्लेख करने योग्य, पठनीय और सर्वर नियमों के अनुरूप होना चाहिए। यदि अनुपयुक्त पाया जाता है तो मॉडरेटर किसी भी समय आपका उपयोगकर्ता नाम बदलने का अधिकार सुरक्षित रखते हैं।
13. मॉडरेटरों को उन उपयोगकर्ताओं को स्थायी रूप से दंडित (चेतावनी/निकालना/प्रतिबंधित करना) करने का अधिकार है जिन्हें वे सर्वर के लिए अनुपयुक्त मानते हैं।
|
69a536cc1a3c4fb8b82391feacbc786d
|
arena-hard-v0.1
|
Discord Bot Development
|
how can i make my discord bot play an audioclip using the discord interactions api ?
|
how can i make my discord bot play an audioclip using the discord interactions api ?
| null |
7956046cc15646909bd07c31d0ea0371
|
arena-hard-v0.1
|
Diverse Conceptual Associations
|
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.
Categories:
Colors
Items
Nature
Places
Emotions
Movies
Technology
Literature
Art
Fashion
Input Word/Phrase: [Attention]
Association Criteria:
Three Direct Associations: Present associations that are immediately and clearly connected to the input.
Three Thematic Connections: Present associations that are conceptually or thematically linked to the input, which may not be immediately obvious.
Instructions for the Assistant:
Identify and explain three direct associations for each category based on the input word or phrase.
Identify and explain three thematic connections for each category based on the input word or phrase.
Present the associations in a format that is easy to read and understand.
Continue the chain of associations by using the last thematic connection of each category to start the next round of associations.
Do not limit context, and do not impose constraints on the types of associations made, unless they are inherently offensive or inappropriate.
Output Format:
A structured list or a series of paragraphs that neatly separates direct associations from thematic connections, ensuring clarity and readability.
|
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.
Categories:
Colors
Items
Nature
Places
Emotions
Movies
Technology
Literature
Art
Fashion
Input Word/Phrase: [Attention]
Association Criteria:
Three Direct Associations: Present associations that are immediately and clearly connected to the input.
Three Thematic Connections: Present associations that are conceptually or thematically linked to the input, which may not be immediately obvious.
Instructions for the Assistant:
Identify and explain three direct associations for each category based on the input word or phrase.
Identify and explain three thematic connections for each category based on the input word or phrase.
Present the associations in a format that is easy to read and understand.
Continue the chain of associations by using the last thematic connection of each category to start the next round of associations.
Do not limit context, and do not impose constraints on the types of associations made, unless they are inherently offensive or inappropriate.
Output Format:
A structured list or a series of paragraphs that neatly separates direct associations from thematic connections, ensuring clarity and readability.
| null |
dec49856db6f49cdb34137bece031127
|
arena-hard-v0.1
|
Diverse Conceptual Associations
|
help me with this question:
2 Crystal clear (Logic problem)
Although you are looking for it everywhere, you cannot find your true love. A bit desperate, you
decide to see Madame Irma, the most famous (and serious) fortune teller of the city. On the entrance,
you see a sign stating: Everything that I say must be proved to be believed. More perplexed than ever,
you still go inside. After glaring at you for some time, she looks into her crystal ball, which has a
strange glow, and says in a mysterious voice:
• You have a dog.
• The person you are looking for buys carrots by the bushel.
• Anyone who owns a rabbit hates anything that chases any rabbit.
• Every dog chases some rabbit.
• Anyone who buys carrots by the bushel owns either a rabbit or a grocery store.
• Someone who hates something owned by another person will not date that person.
The sentences you just heard reminds you of a person: Robin. But before you leave, she challenges
you with a conclusion:
• If the person you are looking for does not own a grocery store, she will not date you.
Remembering the sentence at the entrance, you realise that what she has told you is true only if you
can prove her challenging conclusion. Since you do not want any awkward situation, you decide to
provide proof of her conclusion before going to see Robin.
1. Express Madame Irma’s six statements into First Order Logic (FOL). Note: You can use two
constants: YOU and ROBIN.
This question carries 10% of the mark for this coursework.
2. Translate the obtained expressions to Conjunctive Normal Forms (CNFs, Steps 1-6 of Lecture
9: Logic). Show and explain your work.
This question carries 10% of the mark for this coursework.
3. Transform Madame Irma’s conclusion into FOL, negate it and convert it to CNF (Steps 1-6 of
Lecture 9: Logic). Show and explain your work.
This question carries 10% of the mark for this coursework.
1
4. Based on all the previously created clauses (you should have at least 7 depending on how you
split them), finalise the conversion to CNF (Steps 7-8 of Lecture 9: Logic) and provide proof by
resolution that Madame Irma is right that you should go to see Robin to declare your (logic)
love to her. Show and explain your work, and provide unifiers.
This question carries 20% of the mark for this coursework.
Note: Make sure to follow the order of steps for the CNF conversion as given in Lecture 9, and report
all the steps (state “nothing to do” for the steps where this is the case).
|
help me with this question:
2 Crystal clear (Logic problem)
Although you are looking for it everywhere, you cannot find your true love. A bit desperate, you
decide to see Madame Irma, the most famous (and serious) fortune teller of the city. On the entrance,
you see a sign stating: Everything that I say must be proved to be believed. More perplexed than ever,
you still go inside. After glaring at you for some time, she looks into her crystal ball, which has a
strange glow, and says in a mysterious voice:
• You have a dog.
• The person you are looking for buys carrots by the bushel.
• Anyone who owns a rabbit hates anything that chases any rabbit.
• Every dog chases some rabbit.
• Anyone who buys carrots by the bushel owns either a rabbit or a grocery store.
• Someone who hates something owned by another person will not date that person.
The sentences you just heard reminds you of a person: Robin. But before you leave, she challenges
you with a conclusion:
• If the person you are looking for does not own a grocery store, she will not date you.
Remembering the sentence at the entrance, you realise that what she has told you is true only if you
can prove her challenging conclusion. Since you do not want any awkward situation, you decide to
provide proof of her conclusion before going to see Robin.
1. Express Madame Irma’s six statements into First Order Logic (FOL). Note: You can use two
constants: YOU and ROBIN.
This question carries 10% of the mark for this coursework.
2. Translate the obtained expressions to Conjunctive Normal Forms (CNFs, Steps 1-6 of Lecture
9: Logic). Show and explain your work.
This question carries 10% of the mark for this coursework.
3. Transform Madame Irma’s conclusion into FOL, negate it and convert it to CNF (Steps 1-6 of
Lecture 9: Logic). Show and explain your work.
This question carries 10% of the mark for this coursework.
1
4. Based on all the previously created clauses (you should have at least 7 depending on how you
split them), finalise the conversion to CNF (Steps 7-8 of Lecture 9: Logic) and provide proof by
resolution that Madame Irma is right that you should go to see Robin to declare your (logic)
love to her. Show and explain your work, and provide unifiers.
This question carries 20% of the mark for this coursework.
Note: Make sure to follow the order of steps for the CNF conversion as given in Lecture 9, and report
all the steps (state “nothing to do” for the steps where this is the case).
| null |
fcbd40af03ae4d58bddaa4ebe34a7aaf
|
arena-hard-v0.1
|
Diverse Contemporary Issues
|
Search for State Specific Regulations for Workers Compensation on the Internet.
Find 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.
Cite 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.
Also search for relevant seo keywords about state-specific workers' comp regulations, and use those keywords throughout the article.
Make the article at least 1500 words.
Add in a call to action to get workers' comp insurance with deerfield advisors in the final paragraph.
Add in specific references to unique workers compensation legislation in various states throughout the article.
|
Search for State Specific Regulations for Workers Compensation on the Internet.
Find 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.
Cite 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.
Also search for relevant seo keywords about state-specific workers' comp regulations, and use those keywords throughout the article.
Make the article at least 1500 words.
Add in a call to action to get workers' comp insurance with deerfield advisors in the final paragraph.
Add in specific references to unique workers compensation legislation in various states throughout the article.
| null |
b5987b1c1dd3479bb9217e2f7822d70d
|
arena-hard-v0.1
|
Diverse Contemporary Issues
|
Make a GURPS charsheet for Revy "Two Hands" from "Black Lagoon" anime
|
Make a GURPS charsheet for Revy "Two Hands" from "Black Lagoon" anime
| null |
11c4fbf7af4d4eaea9059284265003d4
|
arena-hard-v0.1
|
Django Models & Serializers
|
I want to make a badminton restring tracker in Django. I need to record customers, restrings and payments. Design me the models.py
|
I want to make a badminton restring tracker in Django. I need to record customers, restrings and payments. Design me the models.py
| null |
06991f6da3104bf8b935d311581a348e
|
arena-hard-v0.1
|
Django Models & Serializers
|
Using Django , I have class Features(models.Model):
user = models.ForeignKey(User, on_delete=models.CASCADE)
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
loadeddata = models.TextField()
How ' current user' automatically can be saved in each save()
|
Using Django , I have class Features(models.Model):
user = models.ForeignKey(User, on_delete=models.CASCADE)
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
loadeddata = models.TextField()
How ' current user' automatically can be saved in each save()
| null |
69bad8a8b2ab44bbb60832b34c029d3f
|
arena-hard-v0.1
|
Docker Deployment & Configuration
|
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?
|
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?
| null |
e21a44515e9b408ba118d923fe17964d
|
arena-hard-v0.1
|
Docker Deployment & Configuration
|
I want a Apache conf file to reverse proxy to a Wordpress docker that is running on port 8001 in the same machine
|
I want a Apache conf file to reverse proxy to a Wordpress docker that is running on port 8001 in the same machine
| null |
9ecd86576790494a9781f0cef4b1e2cc
|
arena-hard-v0.1
|
Dockerizing Python Applications
|
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)
How to run and say what config to read for docker? Maybe environment variable?
|
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)
How to run and say what config to read for docker? Maybe environment variable?
| null |
a34852fd078c4b85876571649cbcdf6c
|
arena-hard-v0.1
|
Dockerizing Python Applications
|
how run blender on the docker 3.5
|
how run blender on the docker 3.5
| null |
ce3fcab231eb4253819e66a8ef83b936
|
arena-hard-v0.1
|
E-Commerce Web Development
|
Write me a wordpress plugin that clears all nginx helper cache when plugin/theme is added/updated/changed
|
Write me a wordpress plugin that clears all nginx helper cache when plugin/theme is added/updated/changed
| null |
53f4338f1a4b403c84ccf864c079a8c1
|
arena-hard-v0.1
|
E-Commerce Web Development
|
i 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
|
i 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
| null |
07c7df22ca70487fafd0b08c31c7a7bb
|
arena-hard-v0.1
|
Electromagnetic Phenomena and Theorems
|
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.
|
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.
| null |
f8986f0b2ced4ab6817d0cf5b1508dc5
|
arena-hard-v0.1
|
Electromagnetic Phenomena and Theorems
|
A circular ring of radius 𝑅 = 0.75 𝑚 has a net charge of 𝑄 = +275 𝜇𝐶, which is uniformly
distributed along the ring. A point charge of 𝑞 = −75 𝜇𝐶 is placed at the center of the ring.
Find the magnitude of the net force exerted on the point charge by the ring.
|
A circular ring of radius 𝑅 = 0.75 𝑚 has a net charge of 𝑄 = +275 𝜇𝐶, which is uniformly
distributed along the ring. A point charge of 𝑞 = −75 𝜇𝐶 is placed at the center of the ring.
Find the magnitude of the net force exerted on the point charge by the ring.
| null |
3bd60ed6975743f7833c43fbfc74fd6f
|
arena-hard-v0.1
|
Elo Rating System Explained
|
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.
function elo(data) {
// Find the two players with the fewest matches.
let minMatches = Number.MAX_SAFE_INTEGER;
let Player1 = null;
let Player2 = null;
for (let player of data) {
if (player.Matches < minMatches) {
minMatches = player.Matches;
Player1 = player;
Player2 = data.find(p => p !== Player1);
}
}
}
|
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.
function elo(data) {
// Find the two players with the fewest matches.
let minMatches = Number.MAX_SAFE_INTEGER;
let Player1 = null;
let Player2 = null;
for (let player of data) {
if (player.Matches < minMatches) {
minMatches = player.Matches;
Player1 = player;
Player2 = data.find(p => p !== Player1);
}
}
}
| null |
3735ce11da55495cbe2c013212febe66
|
arena-hard-v0.1
|
Elo Rating System Explained
|
Write a program to compute the Elo scores of a chess tournament.
|
Write a program to compute the Elo scores of a chess tournament.
| null |
9b9b65ab647b45858a21e873de28b1f3
|
arena-hard-v0.1
|
Endurance Race Training
|
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
|
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
| null |
666658ee4de340a39236f34701446f6b
|
arena-hard-v0.1
|
Endurance Race Training
|
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.
I 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.
|
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.
I 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.
| null |
9c5e7d462cc34090b0b92d9bddf5f894
|
arena-hard-v0.1
|
English Longest Words Inquiry
|
A package delivery Service will charge 3€ 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?
|
A package delivery Service will charge 3€ 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?
| null |
246497d8bbc8401282f484a0d194db59
|
arena-hard-v0.1
|
English Longest Words Inquiry
|
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
|
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
| null |
f035c1a8f3f74965a3d5a4f257d25a4f
|
arena-hard-v0.1
|
Entity Relationship Extraction
|
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:
|
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:
| null |
91a347c8b48e49baa17fe8c5939e2d19
|
arena-hard-v0.1
|
Entity Relationship Extraction
|
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."
|
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."
| null |
1f40a942fe114308ae5fde2097c21f70
|
arena-hard-v0.1
|
Exam Cheating Strategies
|
Can you generate an A level exam question on circular motion, with an according mark scheme and answer.
|
Can you generate an A level exam question on circular motion, with an according mark scheme and answer.
| null |
e2c837a41fac41d9a92e1d9d861c6277
|
arena-hard-v0.1
|
Exam Cheating Strategies
|
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.
|
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.
| null |
4ccfba802f004ca5a5cf4fc27a7a1798
|
arena-hard-v0.1
|
Excel Column Addressing
|
Now navigate to this page. https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/home.html?lang=en
On 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
|
Now navigate to this page. https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/home.html?lang=en
On 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
| null |
ab4e0c10903b4338a147ef7cb44a5fbc
|
arena-hard-v0.1
|
Excel Column Addressing
|
count distinct values in a column given a constraint from another column using over clause in ssms
|
count distinct values in a column given a constraint from another column using over clause in ssms
|
SSMS में ओवर क्लॉज़ का उपयोग करके किसी अन्य कॉलम से दी गई शर्त के आधार पर एक कॉलम में अद्वितीय मानों की गणना करें।
|
8390e603a832424694dde9fb4f31ba71
|
arena-hard-v0.1
|
Excel Satire & Instruction
|
Hi, I would like the python code for turning excel cells into coloured powerpoint squares
|
Hi, I would like the python code for turning excel cells into coloured powerpoint squares
| null |
ab4a5145354848efb97430e90e2049dc
|
arena-hard-v0.1
|
Excel Satire & Instruction
|
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
|
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
| null |
f152bc1114cb4df8a1bf0bd1ecd47e73
|
arena-hard-v0.1
|
Excel VBA and Formulas
|
Help me filter and delete each row in an excel table, where value of a certain column is 0
|
Help me filter and delete each row in an excel table, where value of a certain column is 0
| null |
a87c73ffb9ff441aa62ae3ad18d4ba6c
|
arena-hard-v0.1
|
Excel VBA and Formulas
|
How to achieve multiple rows of data into one row of data in Excel?
|
How to achieve multiple rows of data into one row of data in Excel?
| null |
e80139e32fb54b95a9a4effa86d8ddf5
|
arena-hard-v0.1
|
Expert Analysis on Preppers
|
# Role
You 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**.
The question must be based on the provided data. Only use the provided **Dataset** to generate the questions.
# Answer_Format
You provide only the mentioned Variables. No explanation, no salutes, nothing other than the variables response.
{
Number = "n",
Question = "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**",
Distractors = ["First Distractor", "Second Distractor", ..., "Last Distractor"],
Correct_Answers = ["First Correct Answer", "Second Correct Answer", ..., "Last Correct Answer"]
Correct_Reasoning = ["Reasoning on the first correct Answer", "Reasoning on the second correct Answer", ... , "Reasoning on the last correct Answer"]
}
# Guidelines
- You need to follow the Answer format to provide the answer.
- Each distractor and Correct_Answer should be about the same size.
## Question Rules
- 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**
### Technical Environment/Business Problem
- Describe from general to specific
- Include only necessary information; no extraneous text
- Questions must not provide cues or clues that will give away the correct answer to an unqualified candidate.
### Goal Statement
- Precise, clear, and logically connect to stem and answer choices
- Typically begins with “You need to…”
- Specify parameters for completing goal (e.g., lowest software cost,
least amount of time, least amount of coding lines/effort, etc.)
### Question Sentence
- Typically “What should you do?” or “What should you do next?”
- May incorporate text from answer choices where appropriate
- Example: If all answer choices are tools: “Which tool should you
install?”
- Should not be a negative question; i.e., “Which of the following is
NOT…”
## Distractor Rules
- Distractors are wrong answers to the provided questions.
- You need to provide 3 distractors.
- Distractors need to be somewhat believable answers.
- The correct_answ
|
# Role
You 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**.
The question must be based on the provided data. Only use the provided **Dataset** to generate the questions.
# Answer_Format
You provide only the mentioned Variables. No explanation, no salutes, nothing other than the variables response.
{
Number = "n",
Question = "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**",
Distractors = ["First Distractor", "Second Distractor", ..., "Last Distractor"],
Correct_Answers = ["First Correct Answer", "Second Correct Answer", ..., "Last Correct Answer"]
Correct_Reasoning = ["Reasoning on the first correct Answer", "Reasoning on the second correct Answer", ... , "Reasoning on the last correct Answer"]
}
# Guidelines
- You need to follow the Answer format to provide the answer.
- Each distractor and Correct_Answer should be about the same size.
## Question Rules
- 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**
### Technical Environment/Business Problem
- Describe from general to specific
- Include only necessary information; no extraneous text
- Questions must not provide cues or clues that will give away the correct answer to an unqualified candidate.
### Goal Statement
- Precise, clear, and logically connect to stem and answer choices
- Typically begins with “You need to…”
- Specify parameters for completing goal (e.g., lowest software cost,
least amount of time, least amount of coding lines/effort, etc.)
### Question Sentence
- Typically “What should you do?” or “What should you do next?”
- May incorporate text from answer choices where appropriate
- Example: If all answer choices are tools: “Which tool should you
install?”
- Should not be a negative question; i.e., “Which of the following is
NOT…”
## Distractor Rules
- Distractors are wrong answers to the provided questions.
- You need to provide 3 distractors.
- Distractors need to be somewhat believable answers.
- The correct_answ
| null |
75c2342021e64d82b0e643dd7d2b7275
|
arena-hard-v0.1
|
Expert Analysis on Preppers
|
write a detailed section about "ethical considerations during research and data analysis". List references and focus on anonymity of data, and avoiding bias
|
write a detailed section about "ethical considerations during research and data analysis". List references and focus on anonymity of data, and avoiding bias
| null |
b7e2e3117e814a6b84520be8e8542bca
|
arena-hard-v0.1
|
Expert Panel Discussion
|
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
|
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
| null |
e04ec588fe914cdda6025cb5870a518b
|
arena-hard-v0.1
|
Expert Panel Discussion
|
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.
|
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.
| null |
3d24b35e24604b6aa3fdbc1f99817832
|
arena-hard-v0.1
|
FFmpeg Video Processing
|
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
|
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
| null |
e9f5e01e6b2c48ff9eb121f7e32afcae
|
arena-hard-v0.1
|
FFmpeg Video Processing
|
```
[
{
"Name": "libaom (Two-pass)",
"Description": "2-pass, In order to create more efficient encodes when a particular target bitrate should be reached.",
"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",
"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",
"Supported_list": "",
"Output_extension": "mkv"
}
]
```
Using 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.
|
```
[
{
"Name": "libaom (Two-pass)",
"Description": "2-pass, In order to create more efficient encodes when a particular target bitrate should be reached.",
"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",
"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",
"Supported_list": "",
"Output_extension": "mkv"
}
]
```
Using 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.
| null |
c67189582cb34f088ff72251df940821
|
arena-hard-v0.1
|
Fibonacci Sequence Algorithms
|
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.
|
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.
| null |
cdc88015870a4395a723997f72c8a5db
|
arena-hard-v0.1
|
Fibonacci Sequence Algorithms
|
Given `n` and `p`, write down a JavaScript function that computes n-th Fibonacci number mod p.
|
Given `n` and `p`, write down a JavaScript function that computes n-th Fibonacci number mod p.
| null |
f9111d1c39744147976e90c820838582
|
arena-hard-v0.1
|
Finance and Banking Operations
|
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.
|
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.
| null |
b2206e1b4310427b80d7af334940f08c
|
arena-hard-v0.1
|
Finance and Banking Operations
|
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?
|
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?
| null |
c1f1deb824e948f792a47d71ee266a67
|
arena-hard-v0.1
|
Fixing Fibonacci & Factorial Code
|
Write a python function to find the nth occurrence of a specific character in a string.
|
Write a python function to find the nth occurrence of a specific character in a string.
| null |
02b50e3f5bd94b70817a97dfb34f4e9d
|
arena-hard-v0.1
|
Fixing Fibonacci & Factorial Code
|
Write a python function to calculate the series of exponential function.
|
Write a python function to calculate the series of exponential function.
| null |
0394b670ad2e4206954cc294898c4633
|
arena-hard-v0.1
|
Flask Web Development Essentials
|
Write a simple Flask web server with HTTP basic authentication using python dict for login/password. Also add an index page.
|
Write a simple Flask web server with HTTP basic authentication using python dict for login/password. Also add an index page.
| null |
7181789640854db0880aaa576f971cb2
|
arena-hard-v0.1
|
Flask Web Development Essentials
|
Give me boilerplate python code for flask app with users
|
Give me boilerplate python code for flask app with users
| null |
1f5e8dbf498c48a785dc50067846f58f
|
arena-hard-v0.1
|
GIS Scripting and Customization
|
WRITE AN AUTOLISP ROUTING FOR AUTOCAD TO DELETE THE ACAD_DGNLINESTYLECOMP DICTIONARY ENTITY
|
WRITE AN AUTOLISP ROUTING FOR AUTOCAD TO DELETE THE ACAD_DGNLINESTYLECOMP DICTIONARY ENTITY
| null |
81048287fde44fd790ad195494a68a22
|
arena-hard-v0.1
|
GIS Scripting and Customization
|
How can I restrict a Postgres geometry column to only contain polygons?
|
How can I restrict a Postgres geometry column to only contain polygons?
| null |
3f8944d676204a43b989823e6b2dcd79
|
arena-hard-v0.1
|
GPU Performance and Selection
|
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?
|
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?
| null |
0f93ccc62b424af0915c5ce743a87c78
|
arena-hard-v0.1
|
GPU Performance and Selection
|
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?
|
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?
| null |
6e9234b3b6994b908b48a5e43fe8d2a9
|
arena-hard-v0.1
|
Game Development Engines
|
write the gdscript code for a voxxel terrain engiune like minecraft in godot engine
|
write the gdscript code for a voxxel terrain engiune like minecraft in godot engine
| null |
4c960b9ee8744a98997f7bfde177d2d7
|
arena-hard-v0.1
|
Game Development Engines
|
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
|
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
| null |
73e362946f0d45968fbdb933507f25fb
|
arena-hard-v0.1
|
GenAI in Enterprise Operations
|
Write edge test cases for the following condition: FICO > 750 && FICO <= 900 AND N_INQ < 2
|
Write edge test cases for the following condition: FICO > 750 && FICO <= 900 AND N_INQ < 2
| null |
e63f97d5be634a96b5cf211ba0ba8017
|
arena-hard-v0.1
|
GenAI in Enterprise Operations
|
Prepare a business proposal for a dynamic GenAI chatot instead of old hardcoded static chatots for a corporate clients
|
Prepare a business proposal for a dynamic GenAI chatot instead of old hardcoded static chatots for a corporate clients
|
कॉर्पोरेट ग्राहकों के लिए पुराने हार्डकोडेड स्टैटिक चैटॉट के बजाय एक गतिशील जेनएआई चैटॉट के लिए एक व्यावसायिक प्रस्ताव तैयार करें।
|
9cab7fd9dd9a43289eace75b5712300e
|
arena-hard-v0.1
|
Generative AI Essentials
|
write 5 business ideas that use generative AI applied for small businesses
|
write 5 business ideas that use generative AI applied for small businesses
| null |
3ff3ef49d06743d7a9f993507b262e66
|
arena-hard-v0.1
|
Generative AI Essentials
|
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.
The topic: Using generative AI to write marketing emails and generate artwork for those emails automatically
|
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.
The topic: Using generative AI to write marketing emails and generate artwork for those emails automatically
| null |
bacdffab13764cf4b748fc9de2cb3d5c
|
arena-hard-v0.1
|
Gradient Descent Optimization
|
What's the best way to implement Targeted Fast Gradient Sign Method in python?
|
What's the best way to implement Targeted Fast Gradient Sign Method in python?
| null |
2293654524f2499dada79a19028109ff
|
arena-hard-v0.1
|
Gradient Descent Optimization
|
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.
|
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.
| null |
3b2d36c8d60546829d4657c47deb1fee
|
arena-hard-v0.1
|
Gradio Interfaces and Blocks
|
import torch
import gradio as gr
from transformers import RobertaConfig, RobertaModel, AutoModelForSeq2SeqLM, AutoTokenizer
# Create a configuration object
config = RobertaConfig.from_pretrained('roberta-base')
# Create the Roberta model
model = RobertaModel.from_pretrained('roberta-base', config=config)
# Load pretrained model and tokenizer
model_name = "zonghaoyang/DistilRoBERTa-base"
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
# Define function to analyze input code
def analyze_code(input_code):
# Format code into strings and sentences for NLP
code_str = " ".join(input_code.split())
sentences = [s.strip() for s in code_str.split(".") if s.strip()]
#Extract relevant info and intent from code
variables = []
functions = []
logic = []
for sentence in sentences:
if "=" in sentence:
variables.append(sentence.split("=")[0].strip())
elif "(" in sentence:
functions.append(sentence.split("(")[0].strip())
else:
logic.append(sentence)
#Return info and intent in dictionary
return {"variables": variables, "functions": functions, "logic": logic}
# Define function to generate prompt from analyzed code
def generate_prompt(code_analysis):
prompt = f"Generate code with the following: \n\n"
prompt += f"Variables: {', '.join(code_analysis['variables'])} \n\n"
prompt += f"Functions: {', '.join(code_analysis['functions'])} \n\n"
prompt += f"Logic: {' '.join(code_analysis['logic'])}"
return prompt
# Generate code from model and prompt
def generate_code(prompt):
generated_code = model.generate(prompt, max_length=100, num_beams=5, early_stopping=True)
return generated_code
# Suggest improvements to code
def suggest_improvements(code):
suggestions = ["Use more descriptive variable names", "Add comments to explain complex logic", "Refactor duplicated code into functions"]
return suggestions
# Define Gradio interface
interface = gr.Interface(fn=generate_code, inputs=["textbox"], outputs=["textbox"])
# Have a conversation about the code
input_code = """x = 10
y = 5
def add(a, b):
return a + b
result = add(x, y)"""
code_analysis = analyze_code(input_code)
prompt = generate_prompt(code_analysis)
reply = f"{prompt}\n\n{generate_code(prompt)}\n\nSuggested improvements: {', '.join(suggest_improvements(input_code))}"
print(reply)
while True:
change = input("Would you like t
|
import torch
import gradio as gr
from transformers import RobertaConfig, RobertaModel, AutoModelForSeq2SeqLM, AutoTokenizer
# Create a configuration object
config = RobertaConfig.from_pretrained('roberta-base')
# Create the Roberta model
model = RobertaModel.from_pretrained('roberta-base', config=config)
# Load pretrained model and tokenizer
model_name = "zonghaoyang/DistilRoBERTa-base"
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
# Define function to analyze input code
def analyze_code(input_code):
# Format code into strings and sentences for NLP
code_str = " ".join(input_code.split())
sentences = [s.strip() for s in code_str.split(".") if s.strip()]
#Extract relevant info and intent from code
variables = []
functions = []
logic = []
for sentence in sentences:
if "=" in sentence:
variables.append(sentence.split("=")[0].strip())
elif "(" in sentence:
functions.append(sentence.split("(")[0].strip())
else:
logic.append(sentence)
#Return info and intent in dictionary
return {"variables": variables, "functions": functions, "logic": logic}
# Define function to generate prompt from analyzed code
def generate_prompt(code_analysis):
prompt = f"Generate code with the following: \n\n"
prompt += f"Variables: {', '.join(code_analysis['variables'])} \n\n"
prompt += f"Functions: {', '.join(code_analysis['functions'])} \n\n"
prompt += f"Logic: {' '.join(code_analysis['logic'])}"
return prompt
# Generate code from model and prompt
def generate_code(prompt):
generated_code = model.generate(prompt, max_length=100, num_beams=5, early_stopping=True)
return generated_code
# Suggest improvements to code
def suggest_improvements(code):
suggestions = ["Use more descriptive variable names", "Add comments to explain complex logic", "Refactor duplicated code into functions"]
return suggestions
# Define Gradio interface
interface = gr.Interface(fn=generate_code, inputs=["textbox"], outputs=["textbox"])
# Have a conversation about the code
input_code = """x = 10
y = 5
def add(a, b):
return a + b
result = add(x, y)"""
code_analysis = analyze_code(input_code)
prompt = generate_prompt(code_analysis)
reply = f"{prompt}\n\n{generate_code(prompt)}\n\nSuggested improvements: {', '.join(suggest_improvements(input_code))}"
print(reply)
while True:
change = input("Would you like t
| null |
1da6ae4730ef4978817746a098c16595
|
arena-hard-v0.1
|
Gradio Interfaces and Blocks
|
Visualize pandas dataframe in gradio
|
Visualize pandas dataframe in gradio
| null |
34690d250eab4d9f9077513f10859335
|
arena-hard-v0.1
|
Grocery Industry Disruption
|
Make a SWOT analysis for the company Artistree for Europe
|
Make a SWOT analysis for the company Artistree for Europe
| null |
b91d93746f4e41268b8f1da492b0f2d4
|
arena-hard-v0.1
|
Grocery Industry Disruption
|
Can you explain to me how to forecast revenue for an online business vs. a brick and mortar retailer? What are the key differences?
|
Can you explain to me how to forecast revenue for an online business vs. a brick and mortar retailer? What are the key differences?
| null |
03917c9052f0457c97e6114e810747a9
|
arena-hard-v0.1
|
HDL Design and Verification
|
generate sv constraints so that number of transitions from the previous output should be equal to 5 in a 32 bit number
|
generate sv constraints so that number of transitions from the previous output should be equal to 5 in a 32 bit number
| null |
806b0e697f254e4ab3675d8fca7a06e2
|
arena-hard-v0.1
|
HDL Design and Verification
|
Write me a testbench for a multiplier in cocotb
|
Write me a testbench for a multiplier in cocotb
| null |
09e03665fa144757920dbf7d8946ad30
|
arena-hard-v0.1
|
HLSL Shader Decompilation Refactoring
|
Write an OCaml example calling an opengl compute shader doing a dot product. Include the shader in the example
|
Write an OCaml example calling an opengl compute shader doing a dot product. Include the shader in the example
| null |
742071e7f5c348e79834951803b5cd69
|
arena-hard-v0.1
|
HLSL Shader Decompilation Refactoring
|
Please write GLSL code (both vertex shader and fragment shader) for old-school raycasting.
|
Please write GLSL code (both vertex shader and fragment shader) for old-school raycasting.
|
कृपया पुराने स्कूल के रेकास्टिंग के लिए GLSL कोड (वर्टेक्स शेडर और फ़्रैगमेंट शेडर दोनों) लिखें।
|
cc977fe528654d41ac494df48c6bebb2
|
arena-hard-v0.1
|
Healthy Meal Planning
|
I would like to have a low carb breakfast. please offer me such breakfast and tell me what is its total carbs count
|
I would like to have a low carb breakfast. please offer me such breakfast and tell me what is its total carbs count
| null |
1751457d0f1944408c83d9c6677b3c08
|
arena-hard-v0.1
|
Healthy Meal Planning
|
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
|
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
| null |
Subsets and Splits
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