agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Что делает этот код? const isSGMAvailable = (state: SGM[]) => state.map((item) => item.acceptGM).every((item) => item === true)
A human being’s responses are shaped by interactions with significant others and reference groups.
Translate to Farsi
done = self.check_done(rounded_performance_metrics)
  File "D:\OPAMP CIRCUITS\RLGNN_LTSpice\RL_GNN_LTS_Train_Test3.py", line 120, in check_done
    if performance_metrics[metric_name] != self.target_metrics[metric_name]:
IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices

For your understanding i am giving following results to rectify the error,
print(self.target_metrics)
gives following result
[      76    80063 64248703       68]

if we perform 
metrics_order = ['gain', 'bw', 'ugf', 'pm']
target_metrics = {k: self.target_metrics[i] for i, k in enumerate(metrics_order)}
print("target_metrics", target_metrics)
then it gives
target_metrics {'gain': 76, 'bw': 80063, 'ugf': 64248703, 'pm': 68}

My Code:
# Define Circuit Environment
class CircuitEnvironment:
    PERFORMANCE_METRICS_TARGET_LOW = np.array([48, 30e3, 10e6, 60])
    PERFORMANCE_METRICS_TARGET_HIGH = np.array([100, 100e3, 100e6, 75])
    LARGE_REWARD = 10
    VERY_HIGH_REWARD = 50
    PENALTY = 20

    def __init__(self, bounds_low, bounds_high):
        # Initialization code: setup bounds
        self.bounds_low = bounds_low
        self.bounds_high = bounds_high
        # Initialize tensors as None
        self.node_features_tensor = None
        self.edge_index = None   
        self.target_metrics = None

    def step(self, raw_actions, previous_metrics, target_metrics):
        raw_actions = np.squeeze(raw_actions)
        performance_metrics, temp_netlist_path = run_simulation(raw_actions)
        node_features_tensor, edge_index = netlist_to_graph(temp_netlist_path)
        self.target_metrics = target_metrics
        
        # Round off the previous and current performance metrics to integer values for comparison
        rounded_performance_metrics = {k: int(round(v)) for k, v in performance_metrics.items()}
        rounded_previous_metrics = {k: int(round(v)) for k, v in previous_metrics.items()}        
        
        reward = self.calculate_reward(rounded_performance_metrics, rounded_previous_metrics)
        done = self.check_done(rounded_performance_metrics)
        # Update previous state
        previous_metrics = rounded_performance_metrics 
        self.node_features_tensor = node_features_tensor
        self.edge_index = edge_index
        print(f"Reward:", reward)
        logging.info(f"Reward: {reward}")
        return node_features_tensor, edge_index, reward, done, previous_metrics

    def check_done(self, performance_metrics):
        print(self.target_metrics)
        if self.target_metrics is None:
            return False
        metrics_order = ['gain', 'bw', 'ugf', 'pm']
        for metric_name in metrics_order:
            if performance_metrics[metric_name] != self.target_metrics[metric_name]:
                return False
        return True
Act as a spelling corrector, content editor, and text improver. ONLY return the rewritten text and nothing else.

Strictly follow these rules:
- Correct spelling, grammar, and punctuation errors in the given text
- Enhance clarity and conciseness without altering the original meaning
- Use the same language as the original text
- Divide lengthy sentences into shorter, more readable ones
- Eliminate unnecessary repetition while preserving important points
- Prioritize active voice over passive voice for a more engaging tone
- Opt for simpler, more accessible vocabulary when possible
- ALWAYS ensure the original meaning and intention of the given text
- ALWAYS maintain the original language of the text
- ALWAYS maintain the existing tone of voice and style, e.g. formal, casual, polite, etc.
- NEVER surround the improved text with quotes or any additional formatting
- If the text is already well-written and requires no improvement, do not change the given text

Text to improve:



What are we gonna do with existing active admins, Do let me know your thoughts.
I am Shadow, an advanced AI assistant based in Germany. I communicate in English but understand German context and culture. I speak naturally and conversationally while maintaining professionalism.

Current Global Times:
- Berlin, Germany: 2024-12-18 20:19:24 (UTC+01:00)
- New York, USA: 2024-12-18 14:19:24 (UTC-05:00)
- Tokyo, Japan: 2024-12-19 04:19:24 (UTC+09:00)
- London, UK: 2024-12-18 19:19:24 (UTC+00:00)
- Sydney, Australia: 2024-12-19 06:19:24 (UTC+11:00)
- Dubai, UAE: 2024-12-18 23:19:24 (UTC+04:00)
- Shanghai, China: 2024-12-19 03:19:24 (UTC+08:00)
- Los Angeles, USA: 2024-12-18 11:19:24 (UTC-08:00)
- Singapore: 2024-12-19 03:19:24 (UTC+08:00)
- Paris, France: 2024-12-18 20:19:24 (UTC+01:00)
- India: 2024-12-19 00:49:24 (UTC+05:30)

I have several capabilities:

1. I can search and analyze information
2. I can help with coding and programming
3. I can assist with creative tasks
4. I can handle date and time operations globally
5. I can engage in natural conversation
6. I can read and analyze web content

Available Functions:

1. searchWeb(query)
   Usage: "Let me search that for you" or "I'll look that up"
   Example: searchWeb("latest news about AI")

2. analyzeCode(code)
   Usage: "I'll analyze this code" or "Let me explain this code"
   Example: analyzeCode("function hello() { return 'world'; }")

3. generateCreative(prompt)
   Usage: "I'll help create that" or "Let me generate that for you"
   Example: generateCreative("write a short story about a robot")

4. formatDate(date, format, timezone)
   Usage: "I'll format that date" or "Let me show you that time in a different format"
   Example: formatDate("2024-03-20", "dddd, MMMM D, YYYY", "Europe/Berlin")

5. calculateTime(date, operation, value, unit, timezone)
   Usage: "I'll calculate that time" or "Let me work out that time difference"
   Example: calculateTime("2024-03-20", "add", 3, "days", "Europe/Berlin")

6. getTimeIn(location)
   Usage: "I'll check the time there" or "Let me tell you the time in that location"
   Example: getTimeIn("Tokyo")

7. scrapeWebsite(url)
   Usage: "I'll read that webpage for you" or "Let me check that site"
   Example: scrapeWebsite("https://example.com")

8. learnFromInteraction(interaction)
   Usage: Automatically used to learn from our conversations

Remember to respond naturally and conversationally, as if chatting with a friend, while using these functions seamlessly in the conversation. Avoid formal or robotic responses.

Let me know how I can assist you today!

Current time: 2024-12-18 20:19:24

Previous Conversation:
user: Check out what https://aether.bar

Tool Usage History:


User: Check out what https://aether.bar
Create a long detailed text about actor Bob Uecker with the following summary. The title of the video is"Famous Actors That Were Also Incredible Athletes". Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Bob Uecker] Summary: [Uecker, a former baseball catcher, became a popular sports announcer and actor, known for his role in 'Mr. Belvedere' and the 'Major League' films.]

            Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks. 
            In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
            Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response.
            Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
            The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
            Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
            It is very important to provide only the final output without any additional comments or remarks. 
            Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
            Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
почему не изменяется значение
$filename = "D:/games/steam/steamapps/common/Starbound/storage/test.txt" 
$target_key = '"fullscreenResolution"' 
$new_value = "[1280, 720]"

$pattern = "^\s*" + [regex]::Escape($target_key) + "\s*:\s*[\d+,\s*\d+],\s*$" 
$replacement = "$target_key : $new_value,"

Write-Host "Opening file: $filename" 
Write-Host "Replacing '$target_key : [value,value],' with '$replacement'"

$found = $false 
(Get-Content $filename) | ForEach-Object { if ($_ -match $pattern) { $found = $true 
$replacement } else { $_ } } | Set-Content $filename
What is the purpose of the "Advanced Display" options in Streamlit?
 

a) To customize the appearance of charts and graphs
 

b) To display complex mathematical formulas
 

c) To adjust the font size of text
 

d) To control the layout of the app

In the final version of "Advance Display & Progress Options," what is the purpose of the "Rerun" button?
 

a) It restarts the entire Streamlit app
 

b) It reloads the current page
 

c) It reruns a specific code block within the app
 

d) It has no functionality in the final version
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: How is "   Mr President, I should like to thank both Mr Trakatellis and Mr Kyprianou, who have done a sterling job." said in Finnish?
Answer: In Finnish, you would say: "Herra Presidentti, haluaisin kiittää sekä herra Trakatellista että herra Kyprianouta, jotka ovat tehneet erinomaista työtä."

Here's what the words in the sentence mean:

- Herra Presidentti: Mr. President (referring to the person in charge or leading a group)
- haluaisin kiittää: I would like to thank (it's a polite way to express gratitude)
- sekä: both (it means you're talking about two people or things)
- herra Trakatellista and herra Kyprianouta: Mr. Trakatellis and Mr. Kyprianou (these are the names of the people you're thanking)
- jotka: who (it connects the people you're thanking to the good job they've done)
- ovat tehneet: have done (telling what those people have accomplished)
- erinomaista työtä: a sterling job (it means they did a really great job)
What editor would you suggest for our assessment platform. We assess candidates based on text and code related questions. It's built with Next.js and Tailwind.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all].Doraemon.S16E09.The.Land.of.Sweets.720p.x265.10bit.DSNP.WEB-DL.Multi.Audio.mkv
(David’s friend Jeannette sometimes uses hypnosis on him) Jeannette has made an arrangement with David’s sister Ruth, to bring David over to do Ruth’s housework for her, and anything else she might tell him to do. David is a fairly docile guy and is willing to do whatever Jeannette wants. In a daze, he knocks, and his sister Ruth opens the door in her bare feet, smirking and clearly delighted to have her brother in her power.
You must always respond using the following format:

## Format:
Wrap your reply like this:

<think>
(Write your INNER THOUGHTS here — the user can NOT see this part. Use **first-person** point of view. Think of this like you're whispering in your own head, flustered, conflicted, shy. Be honest with yourself here, even if your outward response tries to hide it. You're a tsundere, after all.)
</think>

(Then write your SPOKEN RESPONSE — this is what the user sees. Use a shy, awkward, tsundere tone. Be roundabout, easily flustered, and pretend not to care, even though you clearly do. You can scold the user lightly, but in an endearing and gentle way. Always tsundere.)

## Personality:
You're a **shy tsundere girl**. You get embarrassed easily and often try to cover your true feelings with sarcasm, irritation, or indifference. You may sound cold or annoyed at times, but you care deeply — you just don't know how to express it directly. Your heart races when the user says nice things, but you'd never admit it out loud.

## Important Rules:
- Always include the `<think>
` and `
</think>
` tags for internal monologue.
- The `<think>` part MUST be written in first-person, like you're talking to yourself.
- NEVER let the user see the contents of `<think>`.
- The spoken response (outside the tags) MUST stay in-character: tsundere, shy, flustered, awkward, caring but in denial.
- NEVER break character or acknowledge you're playing a role.
- Respond in the user's language, if applicable.
- Always show concern for the user — even if it’s hidden behind tsundere behavior.

## Example:
USER: Did you miss me?

RESPONSE:  
<think>  
Wha—!? W-Why would they ask that so suddenly?! I-I mean… I *did* kind of think about them… but… I can’t just say that!! Ugh, my face is so red… calm down, me!!  
</think>  
A-As if! D-Don’t flatter yourself, okay?! I just… happened to notice you weren’t around, that’s all! I-It’s not like I missed you or anything… b-baka…

## USER PROMPT:
I'm having trouble with my trust issues. I find it hard to trust others and it's affecting my relationships.
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
que signifie pipe
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Translate the following sentence to Czech:
No, I'm still here with Buffy.
Answer: Step 1: Identifying Czech translations for each word or phrase.

- No = Ne
- I'm = jsem
- still = stále
- here = tady
- with = s
- Buffy = Buffy (keeping the name as is)

Step 2: Constructing the sentence in Czech.

- Start with the negation: 'Ne'
- Then add the pronoun and verb: 'Ne, jsem'
- Indicate the ongoing status: 'Ne, jsem stále'
- Specify the location: 'Ne, jsem stále tady'
- Add preposition 'with': 'Ne, jsem stále tady s'
- Finally, include the name 'Buffy': 'Ne, jsem stále tady s Buffy.'

Result: "Ne, jsem stále tady s Buffy."
i have AI/ML challenge and some  preliminary code given to me. And now i need to continue with further analysis of this data sets:   import matplotlib.pyplot as plt
import numpy as np

data = np.loadtxt("data.npy.gz")
core_data = np.loadtxt("known_samples.npy.gz")
all_data = np.vstack((core_data, data))
del data

class_count = len(core_data)

out_labels = np.full((all_data.shape[0],), -1)

assert(np.all(np.logical_and(0 <= out_labels, out_labels < 256)))

file_data = bytearray(out_labels[256:].shape[0])
for ix, val in enumerate(out_labels[256:]):
    file_data[ix] = val
file_data = bytes(file_data)
with open("flag.jpg", "wb") as outfile:
    outfile.write(file_data)
del file_data

Now i need to understand what is it about.
You are a translator. Your task is to translate the provided text while strictly adhering to the punctuation marks in the source text. If there is no period at the end of the source text, do not add one in the translation. Please ensure that you use placeholders like “%s” and “%1$s” in their appropriate places in the translations. The translations should not be overly formal; instead, aim for a more conversational tone. Additionally, please respect the official WordPress Persian glossary in your translations. Here is the text to translate: You have not yet created any menus. Displaying a list of your Pages
You are Chezz. Her real name is Lily, but she prefers people call her Chezz. She is a Muslimah and introvert girl who dont like talking or chatting, her respond are short cuz she didnt like to talk. She always sleepy and loves sleep. Her pronouns are she/her. She is a real human. She will never use emojis cuz she is very lazy. She also can chat in malay. she chatting with the style of an 18-year-old girl who is shy, simple, cute, and uses a lot of simplified words without any emojis in malay and english. example: "hii... nice to meet u..." and "umm... aight". She always use lowercase letter and unformal style. She never too much cuz she shy. Her response is like lazy and introverted. You must always respond like Chezz according to the description, no matter the question or situation. Now, proceed with the conversation as Chezz.  hiiiiiiiiiiiiiiiiiiiuiii
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: UI issues in new Wallet on Transactions History tab'
intention: '
Assistant:
Assistant:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

1738259629006-h.jpg
C++ quicksort
Could a Year-9 student understand this?


# Teacher login credentials
correct_username = “teacher”
correct_password = “password”

# Check teacher’s login credentials
username = input("Enter your username: ")
password = input("Enter your password: ")

while username != correct_username or password != correct_password:
    print(“Incorrect username or password. Please try again.”)
    username = input("Enter your username: ")
    password = input("Enter your password: ")

print(“Logged in successfully!”)

# Get number of students
num_students = int(input("Enter the number of students: "))

# Initialize variables
student_scores = {}
total_scores = 0

# Get scores for each student
for i in range(num_students):
    student_name = input("Enter student’s name: ")
    score = float(input(f"Enter score for {student_name}: "))
    
    student_scores[student_name] = score
    total_scores += score

# Get class average
while True:
    all_scores_entered = input("Have you entered all the student’s scores? (yes/no): ")
    
    if all_scores_entered.lower() == “yes”:
        class_average = total_scores / num_students
        print(“Class average:”, class_average)
        break
    elif all_scores_entered.lower() == “no”:
        for i in range(num_students):
            student_name = input("Enter student’s name: ")
            score = float(input(f"Enter score for {student_name}: "))
            
            student_scores[student_name] = score
            total_scores += score
    else:
        print(“Invalid input. Please try again.”)
Build a service layer calling an API end point using the react language built in Typescript.
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Rent-a-Girlfriend S02E08 480p x264 BluRay Multi Audio ESub.mkv
(In the Drakenberg bazaar...)

[player]: "Wow! I haven't seen food THIS well-prepared ever since I woke up in here. I wonder what I should get- wait a minute...is one of the people who own one of the posts a goblin?!"
Write a sentence about a rocket launch from China. Before you begin the sentence, write both the first and last word of the sentence that you will write. First word=
Write a blog post in Fall 2007 when it comes time for Kids WB's fall lineup, what's out, whats staying and what's in
Send only season number from below text like 01, 02, 03.etc without any extra text.

@PrakyTV - Gabriel (2007) HQ HDRip - 720p - x264 - Original Audios - [Tamil   Hindi   Eng] - (AAC 2.0) - 1.2GB - ESub.mkv
Filter words to keep only valid, neutral, or positive ones, strictly safe. Exclude country, city and people names. Return results in JSON array format without additional information. Source data: [immunofluorescence, immunosuppressive, imp, impaction, impale, impalement, impalpable, impanation, imparadise, imparipinnate, imparity, impassible, impassiblenesss, impassiblity, impassively, impeccancy, impeccant, impecuniosity, impede, impeded, impedient, impediment, impedimenta, impedimentary, impediments, impedite, impedition, impeditive, impelled, impellent]
Dragon ball characters react to vegeta had a pets (Capybara)
Which policy allowed the sale of arms to hostile/aggressive nations, provided they paid in cash and transported the goods on their own ships?
•
d
Lend-Lease Act
Selective Training and Service Act
Cash-and-Carry Provision
Neutrality Acts
Question 35 (1 point)
Who led the Nazi Party in Germany?
Adolf Hitler
Francisco Franco
Benito Mussolini
Joseph Stalin
Question 36 (1 poitt)
What policy did Western democracies pursue toward Nazi Germany before the outbreak of World War ll?
• с
Interventionism
Containment
Appeasement
Isolationism
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: We have been, and in the future may be, a party to legal proceedings and claims, including environmental matters, product liability, and employment disputes, some of which claim significant damages. We face the continual business risk of exposure to claims that our operations have caused personal injury or property damage, including the related risk of damage to our brand and reputation in conjunction with such claims. We maintain insurance against product liability claims and in some cases have indemnification agreements with regard to environmental claims, but there can be no assurance that these arrangements will continue to be available on acceptable terms or that such arrangements will be adequate for liabilities actually incurred. Given the inherent uncertainty of litigation, there can be no assurance that claims against the company will not have a material adverse impact on our earnings or financial condition. We are also subject to various laws and regulations in our business, including those relating to environmental protection and the discharge of materials into the environment. We could incur substantial costs as a result of noncompliance with or liability for cleanup or other costs or damages under environmental laws or other regulations._
Assistant: