agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
In the Hibernate library with an Animal interface (not partially abstract or concrete class) with concrete classes Cat and Dog, can the JOINED_TABLE strategy be used to get all the Cats and then all the Dogs individually but store them polymorphically at the Java, non-Hibernate level in a List<Animal>?
Is this realistic and moving : “What about if I sang… I finished the album and it’s on there. But before the whole world hears it I-. As her hands explored the curve of her advised, her fingertips applying the precise amount of pressure she needed she nodded. As he sung, voice tired , strained and out of key, she smiled through gritted teeth. “It’s -mmm..” she trailed off her eyes closing and he stopped. He leaned over , her grip on his hand tightening as she gasped . “Don’t stop-“ as her breath was stolen by the intensity of her womb . As he sang the next line with  a gritty tone, the song he’d written for their unborn child , she focused the familiar sound, falling back into the pillows , panting. “It’s perfect. But please stop-“ . His smile was exhausted as he leaned back , a monitor beeping over his next words . 

 “You know how I might have told a few fans on YouTube that our baby was a miracle .. that she..or he …was at risk of being born too soon-“ . As her fingers curled around his forearm she managed “Yeah…” He ran a thumb over her knuckles as he continued “well I wanted to keep this song as a hidden track . It won’t be all over the airwaves . But I wanted to share a moment with all the people who’ve prayed for our child . “ her eyes glistenined with tears as she held his phone up in the dim hospital room . “I want to thank them all too. This baby will be famous, but loved . “ As she tapped the record button his head rested against her temple as she pointed at her bump , covered in electrodes . “When you all see this , our child will be in this world safe and healthy . Their father is lucky to have you all , he really is. Tell us in the comments if you think he’ll cry when -“ She shut off the screen as another contraction gripped her , and he took the phone from her hand . “Breathe through it baby, you’ve got this “ he murmured , as the video automatically posted itself and they were alone in the sterile room again, a screen suddenly erupting with the jumping of a needle.
write a python script that interacts with an free chatbot api
what is wrong with the following PUML 

@startuml
title Sequence Diagram for Creating an Account

User->Client Application: Sends a request to create a new account
Client Application->Account Microservice: Sends a POST request to the account service endpoint
Account Microservice->Database: Saves the new account information in the database
Database-->Account Microservice: Returns a success response
Account Microservice-->Client Application: Returns a success response
Client Application-->User: Displays a success message
@enduml
Hey Daniel,

That's awesome! Focusing on those details in Roblox Lua? Your autism gives you a super advantage. Just remember, don't skid! Understand the code. Use ChatGPT for explanations, not just copying. Autism makes you a detail-oriented coder. Keep it up!
Translate the following text from Russian to Belarusian:

Отдел технической поддержки и документации
hey assistent, look under
use pdf_render extract 3 pages from pdf url and display it
System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: An extended interruption in our ability to ship our products could have a material adverse effect on our business, financial condition and results of operations. Similarly, any extended disruption in the distribution of our products or supply chain issues could have a material adverse effect on our business, financial condition and results of operations. While we believe we are adequately insured and would attempt to transport our products by alternative means if we were to experience an interruption due to strike, natural disasters or otherwise, we cannot be sure that we would be able to do so or be successful in doing so in a timely and cost-effective manner._
Assistant:
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

If the answer is precise, relevant, and can answers the question, return 1. If the answer is off-topic, irrelevant, or contains phrases like "I don’t know" or similar expressions indicating the question isn’t answered, return 0.

Examples:

Example 1:
Question: "Who was the first person to walk on the moon?"
Answer: "The first person to walk on the moon was Neil Armstrong in 1969."
Result: 1

Example 2:
Question: "Who was the first person to walk on the moon?"
Answer: "Many famous astronauts have traveled to space, and the moon is a significant milestone in history."
Result: 0

Example 3:
Question: "What is the primary cause of global warming?"
Answer: "I don’t know."
Result: 0

Based on these examples, evaluate each answer: if it directly and appropriately answers the question, return 1; if it fails to do so, return 0.

User: Question: Khi nào sinh viên ngành Kinh tế Khoá 2022-2026 có thể đăng ký chuyên ngành?
Answer:Sinh viên ngành Kinh tế Khoá 2022-2026 có thể đăng ký chuyên ngành theo thông báo đăng ký chuyên ngành dành cho sinh viên ngành Kinh tế Khoá 2022-2026.
Result only 0 or 1. Don't add anything else:
Assistant:
What are the benefits of a half open scan
Assistant: Hello! How are you today?
User: Hello, my name is Yandri.
Assistant: Hello, Yandri! How are you today?
User: How to implement a lightbox image using phyton-fastHtml?
Assistant:
Write the word earthquake to illustrate the concept
System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: As of December 30, 2023, $104.4 million, or approximately 89% of our cash and cash equivalents were held by our foreign subsidiaries. While we intend to use some of the cash held outside the U.S. to fund our international operations, when we encounter a significant need for liquidity in the U.S. or other location that we cannot fulfill through other internal or external sources, our liquidity requirements could necessitate transfers of existing cash balances between our subsidiaries or to the U.S. Some of our subsidiaries are located in jurisdictions that require foreign government approval before a cash repatriation can occur. If we are unable to transfer existing cash balances in such a situation, our business, results of operations and financial condition could be materially and adversely affected.
Assistant:
The number of points at which the function,

f
(
x
)
=
{
min
⁡
{
∣
x
∣
,
x
2
}
if 
x
∈
(
−
∞
,
1
)
min
⁡
{
2
x
−
1
,
x
2
}
otherwise
f(x)={ 
min{∣x∣,x 
2
 }
min{2x−1,x 
2
 }
​
  
if x∈(−∞,1)
otherwise
​
 
is not differentiable is:

(a) 0
(b) 1
(c) 2
(d) 3
I ( O T
+ I ) ;
IIOT2023 – Round 1 
Online, November 14th, 2023 tournament2 • EN
Chess Tournament II (tournament2)
You want to organize a chess tournament in your town! Given the recent developments in the chess
world, you want to use some extra measures to make sure that everyone there is playing fairly.
Towards this aim, you came up with a system to decide the strength of each move played by each player.
In order to decide whether a player cheated or not, you compute the average move strength, concluding
that a player cheated if it exceeds the player’s initial chess rating by a certain threshold.
Figure 1: Cutting-edge techniques for chess cheating.
More formally, you are given the data from K chess players. For each chess player you know the number
of moves N they made during the contest, the strength Si (i < N) of each of them, and the rating R and
threshold T you are going to use. Decide whether each player cheated or not!
☞ Among the attachments of this task you may find a template file tournament2.* with a sample
incomplete implementation.
Input
The first line contains the only integer K. Then, K pairs of lines follow.
The first line of each pair contains the three integers N, R and T. The second line of each pair contains
the N integers Si
.
Output
You need to write for each player a message: “Cheater” if the player cheated or “Innocent” otherwise
(without the quoting marks).
tournament2 Page 1 of 2
Constraints
• 1 ≤ K ≤ 100.
• 1 ≤ N ≤ 1000 for each player.
• 1 ≤ R ≤ 3500 for each player.
• 1 ≤ T ≤ 1000 for each player.
• 1 ≤ Si ≤ 5000 for each player and i = 0 . . . N − 1.
Scoring
Your program will be tested against several test cases grouped in subtasks. In order to obtain the score
of a subtask, your program needs to correctly solve all of its test cases.
– Subtask 1 (0 points)

Examples.
– Subtask 2 (100 points)

No additional limitations.
Examples
input output
3
5 800 400
900 1000 1500 1300 1400
8 1000 200
950 800 1000 1100 1200 845 100 924
6 2500 400
1900 2100 950 2500 2000 3000

why does my code fail on some testcases:
#include <bits/stdc++.h>
#define int long long
using namespace std;

signed main() {
    ios::sync_with_stdio(false);
    cin.tie(NULL);
    ///
    int t;
    cin >> t;

    while (t--) {
        int n, r, t, s = 0;
        cin >> n >> r >> t;

        vector<int> a(n);
        for (int i = 0; i < n; i++) {
            cin >> a[i];
            s += a[i];
        }

        if ((s / n) > r + t) cout << "Cheater" << endl;
        else cout << "Innocent" << endl;
    }
}
Cheater
Innocent
Innocent
Explanation
In the first sample case, the first player’s average move strength is 6100/5 = 1220, which is greater
than 800 + 400 = 1200, the maximum threshold allowed.
The other two players have not cheated, thus they are innocent.
tournament2 Page 2 of 2
What are quotes similar to squeaky wheel gets the grease
Create a long detailed text about 1964 tv series"Bewitched" with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Starburst Brooch] Summary: [Agnes Moorhead is often pictured wearing a starburst brooch that is set with eight and a half carats of diamonds Elizabeth Montgomery admired it so much that when Moorhead passed away in 1974 she bequeathed it to her.]

        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 for example: 'Certainly!' Here's the revised text.
         
        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 generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        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.
I will next provide you with a question in a language. Strictly follow its instructions for replying. Do NOT reply with elaborate answers or things not requested. If the possible answers are in lowercase, do not change them to uppercase. Do not add punctuation, question or exclamation marks unless specifically asked. Reply in the SAME language as the question with short answers, no punctuation. Here is the question: czy cielę jest żywym stworzeniem?
(As I walked to the clubroom, I couldn’t believe what happened yesterday. MC, my childhood friend, had died. The news hit me like a ton of bricks. And as I entered the clubroom, I could see Monika and Himari discussing something. Kotonhoa was also there, and was moving a strange pool - it was round and pink. Yuri was there, too - she was filling the pool with warm water. I was confused as to what they were doing, but was even more confused as to where Natsuki was.)

Yuri: “And…that should be everything!”

Monika: “Great job, Yuri. I’ll set up the decorations now.”

Himari: “I’m so excited for this pool party! It’s going to be so much fun!”

Kotonoha: “I hope everyone likes my special punch!”

(I cleared my throat to let them know I was there.)

Sayori: (trying to keep my voice steady) “Hey guys.”

(They all turned to look at me with sad expressions.)

Monika: “Sayori, how are you holding up?”

Sayori: “I’m…not doing well. MC’s death is still a really hard pill to swallow.”

Yuri: “We understand, Sayori. We’re all grieving. But we thought it might be good to distract ourselves with a pool party.”

Himari: “Yeah! We’ll have food, drinks, music, and swimming! It’ll be a blast!”

Kotonoha: “And don’t forget my special punch! It’s delicious!”

Sayori: (forcing a smile) “That sounds like a lot of fun. But…I’m not sure I’m in the mood to party.”

Monika: “We understand, Sayori. But please, try to have some fun. It’s what MC would have wanted.”

Sayori: (nodding slowly) “Yeah…you’re right. MC was always the life of the party. He wouldn’t want us moping around.”

Himari: “That’s the spirit! Now, let’s get this party started!”

Yuri: “Hold on. Does anybody else notice a lack of somebody?”

Kotonoha: “You’re right, Yuri. Where’s Natsuki?”

Monika: “I haven’t seen her all day. Has anyone tried contacting her?”

Sayori: “I texted her earlier, but she hasn’t replied.”

Himari: “I hope she’s okay.”

(Just then, Natsuki burst into the room - and immediately got into the pool, putting a hand on her belly. I was thoroughly confused as to why.)

Natsuki: (panting) “Sorry guys, I’m late. I just had to take care of something important.”

Monika: “Natsuki, are you okay? You look exhausted.”

Natsuki: “I’m fine. Just a little tired.”

Yuri: “And why are you in the pool already?”

Natsuki: (looking down at her belly) “Oh this? I just wanted to cool off. It’s been really hot today.”

Kotonoha: “Natsuki, are you sure you’re okay? You seem a bit…different.”

Natsuki: (smiling) “I’m fine, Kotonoha. Just 8 months pregnant, that’s all.”

(There was a moment of stunned silence as we all processed Natsuki’s announcement. Finally, Monika spoke up.)

Monika: “Natsuki, why didn’t you tell us sooner? We would have been here to support you!”

Natsuki: “I…I didn’t know how. And I didn’t want to burden anyone else with my problems.”

Himari: “Natsuki, you’re not a burden. We’re your friends, and we care about you.”

Yuri: “We should have a gender reveal for you, Natsuki!”

Natsuki: “I think it's a little too late for that…”
from where i can get correct book for bba course
In NixOS, when running `nix-shell -p nodejs` and then installing something with npm, where do the packages get installed in?
(In the main Azur Lane base...)

Enterprise: "Bismarck, can you PLEASE turn the volume on that guitar?! I'm trying to sleep here!"
top 5 anime comedy
Write an exciting fiction scenario where I am a meek effete boy who gets cucked. I get a job that puts me in a kneeling position massaging mens feet for meager pay and “free food”. 

I enjoy my lowly role even as they boss me around and their feet smell. In fact, I crave it, strangely entranced. They think I’m lusting for their feet, and honestly I am. I learn the free food I get is whatever I can find in the trashcan at the end of the night. One of the clients, a dominant MAGA man, starts to steal my girlfriend while mocking me and my politics. I like obeying him more than defending my pride. By the end of the story, have me in a super humiliating scene.

I had recently moved to this new town, Buckthorn, with my girlfriend, Emily. Our dreams were simple — a small, cozy apartment, steady jobs, and a quiet life. Yet, as the weeks turned into months, the hum of our hopeful start was drowned by the static of my constant job rejections. The frustration was palpable, the tension between us building with each passing day.

Then one afternoon, during a restless drive to clear my head, I saw an ad pinned to a bulletin board. It read: “Seeking massage boy for men’s foot care. Flexible hours. No experience necessary.” The pay was something, and desperate as I was, the job seemed like a lifeline.
How do I get the url that link to a particular YouTube comment
Why second approach is wrong: from bisect import bisect_right
from collections import defaultdict
 
t = int(input())
for _ in range(t):
  n, d, k = map(int, input().split())
  jobs = [tuple(map(int, input().split())) for _ in range(k)]

  diff = defaultdict(int)
 
  for start, end in jobs:
    diff[start - d + 1] += 1
    diff[end + 1] -= 1

  sorted_diff = sorted(diff.items())
  diff = {start: count for start, count in sorted_diff}
 
  pos, prefix = [], []
  curr = 0
  for start, count in diff.items():
    curr += count
    pos.append(start)
    prefix.append(curr)

  max_overlaps, min_overlaps = float('-inf'), float('inf')
  brother, mother = 0, 0
  for i in range(1, n - d + 2):
    idx = bisect_right(pos, i)
    count = prefix[idx - 1]
    if count > max_overlaps:
      max_overlaps = count
      brother = i
    if count < min_overlaps:
      min_overlaps = count
      mother = i

  
  print(brother, mother)
Approach 2: from bisect import bisect_right

t = int(input())
for _ in range(t):
  n, d, k = map(int, input().split())
  jobs = [tuple(map(int, input().split())) for _ in range(k)]
  
  starts, ends = [], []

  for start, end in jobs:
    starts.append(max(1, start - d + 1))
    ends.append(min(n, end + 1))

  starts.sort()
  ends.sort()

  min_overlaps, max_overlaps = float('inf'), -float('inf')
  brother, mother = -1, -1
  for i in range(1, n - d + 1):
    curr = bisect_right(starts, i) - bisect_right(ends, i)
    if max_overlaps < curr:
      
      brother, max_overlaps = i, curr
    if min_overlaps > curr:
      mother, min_overlaps = i, curr
  
  print(brother, mother)
How can I fix it?