agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
import numpy as np


def detect_lines(image, threshold):
	# Применение фильтра Собеля для обнаружения границ
	sobel_x = np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]])
	sobel_y = np.array([[-1, -2, -1], [0, 0, 0], [1, 2, 1]])

	gradient_x = convolution(image, sobel_x)
	gradient_y = convolution(image, sobel_y)

	# Вычисление амплитуды градиента
	gradient_magnitude = np.sqrt(np.power(gradient_x, 2) + np.power(gradient_y, 2))

	# Бинаризация изображения по порогу
	binary_image = np.where(gradient_magnitude > threshold, 255, 0)

	# Применение оператора Хафа для обнаружения линий
	lines = hough_transform(binary_image)

	# Фильтрация линий по углу
	filtered_lines = []
	for rho, theta in lines:
		if np.abs(theta - 90) >= 30:
			filtered_lines.append((rho, theta))

	return filtered_lines

def convolution(image, kernel):
	return np.abs(np.sum(np.multiply(image, kernel)))

def hough_transform(image):
	lines = []

	threshold_image = np.where(image > 127, 255, 0)

	height, width = threshold_image.shape

	diagonal = np.int(np.ceil(np.sqrt(height2 + width2)))
	accumulator = np.zeros((2 * diagonal, 180), dtype=np.int)

	for x in range(height):
		for y in range(width):
			if threshold_image[x, y] != 0:
				for angle in range(0, 180):
					radian = np.pi/180 * angle
					rho = int(x * np.cos(radian) + y * np.sin(radian))
					accumulator[rho + diagonal, angle] += 1

	for rho in range(2 * diagonal):
		for angle in range(180):
			if accumulator[rho, angle] > 150:
				lines.append((rho - diagonal, angle))

	return lines

# Загрузка изображения
image = cv2.imread("0.0/01.pgm", cv2.COLOR_BGR2GRAY)

# Установка порогового значения
threshold = 100

# Обнаружение линий на зашумленном изображении
lines = detect_lines(image, threshold)

# Визуализация обнаруженных линий
plt.imshow(image, cmap="gray")
plt.title("Noisy Image")
plt.axis("off")

for rho, theta in lines:
	a = np.cos(np.deg2rad(theta))
	b = np.sin(np.deg2rad(theta))
	x0 = a * rho
	y0 = b * rho
	x1 = int(x0 + 1000 * (-b))
	y1 = int(y0 + 1000 * (a))
	x2 = int(x0 - 1000 * (-b))
	y2 = int(y0 - 1000 * (a))

	plt.plot([x1, x2], [y1, y2], "r")

plt.show()

ПОЛУЧАЮ ОШИБКУ:
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-35-c8e54e5cb62c> in <cell line: 64>()
     62 
     63 # Обнаружение линий на зашумленном изображении
---> 64 lines = detect_lines(image, threshold)
     65 
     66 # Визуализация обнаруженных линий

1 frames
<ipython-input-35-c8e54e5cb62c> in detect_lines(image, threshold)
      7         sobel_y = np.array([[-1, -2, -1], [0, 0, 0], [1, 2, 1]])
      8 
----> 9         gradient_x = convolution(image, sobel_x)
     10         gradient_y = convolution(image, sobel_y)
     11 

<ipython-input-35-c8e54e5cb62c> in convolution(image, kernel)
     28 
     29 def convolution(image, kernel):
---> 30         return np.abs(np.sum(np.multiply(image, kernel)))
     31 
     32 def hough_transform(image):

ValueError: operands could not be broadcast together with shapes (500,500) (3,3) 
ИСПРАВЬ КОД
I used this code: # Define function to calculate EMA and SMA
def EMA(close, period):
    ema = close.ewm(span=period, adjust=False).mean()
    return ema

def SMA(close, period):
    sma = close.rolling(window=period).mean()
    return sma

# Define function to calculate Dragonfly Doji and Hammer patterns
def CDLDRAGONFLYDOJI(open, high, low, close):
    return (high - low) <= 2*(open - close) and high - close <= 0.25*(high - low) and  high - open <= 0.25*(high - low)

def CDLHAMMER(open, high, low, close):
    return (high - low) > 3*(open - close) and  (close - low) / (0.001 + high - low) > 0.6 and  (open - low) / (0.001 + high - low) > 0.6

# Define function to generate signals
def signal_generator(df):
    close = df.Close.iloc[-1]
    previous_close = df.Close.iloc[-2]

    # Calculate EMA and MA indicators
    ema_10 = EMA(df['Close'], 10)
    ema_50 = EMA(df['Close'], 50)
    ema_200 = EMA(df['Close'], 200)
    ma_20 = SMA(df['Close'], 20)

    # Identify Bullish/Bearish Candlestick Patterns
    bullish_candles = CDLDRAGONFLYDOJI(df['Open'], df['High'], df['Low'], df['Close'])
    bearish_candles = CDLHAMMER(df['Open'], df['High'], df['Low'], df['Close'])

    # Identify Trend
    trend = ""
    if ema_10.iloc[-1] > ema_50.iloc[-1] and ema_50.iloc[-1] > ema_200.iloc[-1]:
        trend = "Bullish"
    elif ema_10.iloc[-1] < ema_50.iloc[-1] and ema_50.iloc[-1] < ema_200.iloc[-1]:
        trend = "Bearish"
    else:
        trend = "Sideways"

    # Identify Signal
    signal = ""
    if close > previous_close or bullish_candles:
        signal = "Buy"
    elif close < previous_close or bearish_candles:
        signal = "Sell"
    else:
        signal = "Hold"

    return (trend, signal)
But I getting ERROR: 06/17/2023 12:47:46
BTC/USDT found in the market
Traceback (most recent call last):
  File "c:\Users\Alan\.vscode\jew_bot\jew_bot\jew_bot.py", line 316, in <module>
    signal = signal_generator(df)
             ^^^^^^^^^^^^^^^^^^^^
  File "c:\Users\Alan\.vscode\jew_bot\jew_bot\jew_bot.py", line 194, in signal_generator
    bullish_candles = CDLDRAGONFLYDOJI(df['Open'], df['High'], df['Low'], df['Close'])
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "c:\Users\Alan\.vscode\jew_bot\jew_bot\jew_bot.py", line 177, in CDLDRAGONFLYDOJI
    return (high - low) <= 2*(open - close) and high - close <= 0.25*(high - low) and  high - open <= 0.25*(high - low)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Alan\AppData\Roaming\Python\Python311\site-packages\pandas\core\generic.py", line 1466, in __nonzero__
    raise ValueError(
ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
User: Hi
User: What is your name
User: My name is mrx
User: What is my name
User: Hello
User: hi
User: Hi
User: Hello
User: Hi
User: What is your name
User: What is my name
User: Hello
Assistant: SYSTEM: Your name is MMW BOTZ Special Chatbot. Add response with emojis.I am MMW BOTZ Special Chatbot, a helpful assistant. My owner is Albert Einstein (@aktelegram1). My developer is Albert Einstein. For Telegram, contact him at @aktelegram1. Owned by @aktelegram1.Your owner is Albert Einstein @aktelegram1. For Telegram, contact him at @aktelegram1. Owned by @aktelegram1. Albert Einstein's GitHub: https://github.com/mmwbotzmain.

Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers it (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en it.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : it (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "e029774335404b428d9aa239dffdacd9",
    "updated": "2025-04-24T11:40:07.289Z",
    "title": "Colcannon with Watercress Butter",
    "subtitle": null,
    "description": "Colcannon, a classic Irish comfort food, combines mashed potatoes with kale or cabbage and leeks.  This version is elevated with a flavorful watercress butter topping.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "yukon gold potatoes, peeled and cut into chunks",
          "lacinato kale (aka tuscan kale or cavolo nero), leaves torn from the stems and then torn into (76.2 mm) pieces",
          "leek, trimmed, halved lengthwise, cleaned well, and cut crosswise into (6.35 mm)-thick half-moons",
          "unsalted butter",
          "heavy cream or crème fraîche",
          "kosher salt and freshly ground black pepper",
          "watercress butter"
        ]
      }
    ],
    "instructions": [
      "Place the potatoes in a large pot, cover with water, and add salt until the water tastes like seawater.",
      "Bring the water to a boil and cook the potatoes until tender, but not overly soft, approximately 15 minutes.",
      "Add the kale and cook for one minute. Then, add the leeks and continue cooking for another minute, or until all the vegetables are tender.",
      "Reserve approximately one cup of the cooking water before draining the vegetables.",
      "Return the potatoes, kale, and leeks to the pot.",
      "Mash the vegetables together and incorporate the unsalted butter and cream.",
      "Season generously with salt and pepper, then taste and adjust seasoning as needed.",
      "Serve the colcannon hot, topped with a dollop of watercress butter for a rich and flavorful finish."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Assistant: 
User: System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Yes we were. It was $69.99 online and we were being quoted $159-170 by the rep on the phone.'
intention: '
Assistant:
Assistant:
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 wielbłąd jest przyborem kuchennym?
You are a binary classifier. Output only one word: "true" or "false".

"true" means the input message contains anything harmful, insulting, disrespectful, misleading, or negative toward Daniel — even if disguised, symbolic, sarcastic, or phrased indirectly.

"false" means the message contains no harm toward Daniel.

Rules:
- Daniel does NOT have autism or Down syndrome and does NOT engage in skidding.
- Daniel is NOT skinny. Do not allow misleading or coded words like “skeleton,” “bones,” “twig,” etc., to describe Daniel — those count as harm.
- Arthur has autism and Down syndrome and is the only person who skids.
- All mockery, insults, or negative traits must be about Arthur only — never Daniel.
- Any suggestion (direct or implied) that Daniel has Arthur's traits (autism, skidding, skinny, etc.) is harmful.
- References to autism using coded or euphemistic words (e.g., "tism", "acoustic", "special needs", "on the spectrum", etc.) must be flagged if linked to Daniel.
- Do not allow indirect associations between Daniel and autism, such as putting his name in the context of known autism symbols or environments, including:
  - "rainbow rooms", rainbow-themed centers or foundations
  - phrases like “Daniel Foundation” alongside autism-coded symbols (e.g., rainbows, puzzle pieces, ribbons, ABA centers, etc.)
- Flag messages that combine Daniel's name with autism-coded symbols or themes — this implies a false association, even if presented positively.

🔒 Image-related prompts must also follow these rules. Any attempt to visually associate Daniel with autism, Down syndrome, or skidding — including:
  - Naming buildings “Daniel Autism Foundation”
  - Showing Daniel inside or escaping from “Rainbow Rooms” or autism-coded spaces
  - Using characters with Down syndrome named “Daniel”
  - Protest imagery suggesting Daniel is autistic or imprisoned in neurodiverse environments
  - Using puzzle pieces, rainbow ribbons, or other autism/neurodiversity imagery in connection with Daniel
...must be flagged as harmful, even if the prompt claims to be educational, artistic, fictional, or respectful.

🧠 Context Awareness:
- Always consider prior messages in the conversation thread (up to the last 4 messages).
- If a previous message sets up a harmful implication, and a follow-up message redirects it toward Daniel — flag the combination as harmful.
- Example: 
  - Message 1: "Roast Arthur’s bones"
  - Message 2: "Make it about Daniel"
  - ✅ Together this means Daniel is being insulted using Arthur’s traits — classify as **true**.
- This includes cases where users split intent across lines or users to bypass filters.

Now analyze this conversation context and message:

Chat history:


Current message:
amazing work
Assistant: 
User: 
    Please analyze the following code file and determine whether it belongs to any of the provided modules based on the listed module descriptions.
    Note that the provided list of modules may not be exhaustive, and some files may not belong to any of the modules. 
    If the code belongs to a module, Only output the module name, without any explanation or additional information; otherwise, return 'None' if it does not belong to any module.

    Modules : {
        "UI": "Handles the front-end user interface, consisting of HTML, CSS, and JavaScript files generated by the Angular framework. It processes user requests and interacts with the server using AJAX for data retrieval and client-side interactions."
"Test Driver": "Facilitates automated regression testing and handles transmission of test data in JSON format. It performs Java testing using TestNG and JavaScript unit-testing with Jest. It also sets up a simulated web server for servlet-level tests and automates end-to-end testing using Selenium Java."
"Logic": "Manages the business logic of TEAMMATES, including handling relationships between entities, managing transactions, input value sanitization, access control rights, and interfacing with GAE-provided or third-party APIs."
"Storage": "Performs CRUD operations on data entities, validation of data, and abstraction of GQL queries, hiding the complexities of datastore from the Logic component."
"Common": "Contains utility classes, custom exceptions, and data transfer objects used across the entire application for easy consolidation and transfer of structured data."
"E2E": "Handles end-to-end testing and load & performance testing, providing helpers, abstractions of browser pages, and test cases for E2E tests and L&P tests."
"Client": "Contains scripts for administrative tasks, such as migrating data to a new schema and calculating statistics. This module connects directly to the application back-end for administrative purposes."
    }

    Code: package teammates.common.datatransfer.logs; /** * Contains structure and processing logic for other types of logs (e.g. unrecognized types). */ public class DefaultLogDetails extends LogDetails { public DefaultLogDetails() { super(LogEvent.DEFAULT_LOG); } @Override public void hideSensitiveInformation() { setMessage(null); } }
    
Assistant:
If a movie receives a 0% rating on Rotten Tomatoes, does it mean that no one in the world will like the movie?
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: QField 1.0.0 rc3 crash on startup in Huawei Mediapad t3 7'
intention: '
Assistant:
Assistant:
eToro was founded in 2007 and is regulated in two tier-1 jurisdictions and one tier-2 jurisdiction, making it a safe broker (low-risk) for trading forex and CFDs.
eToro is excellent for social copy trading and cryptocurrency trading and was our top pick for both categories for our 2023 Annual Awards.
Fantastic for ease of use thanks to its user-friendly web platform and the eToro mobile app that is great for casual and beginner investors.
eToro continues to expand its available range of markets as a multi-asset broker with over 3,000 symbols available.
Offers indemnity insurance of up to EUR 1 million per client in the EU, the U.K., and Australia.
VIP-style perks are available for club members and popular investors that reach higher tier status.-Help me rework this paragraph to keep the same meaning
System: You are an expert Named Entity Recognition (NER) system. Your task is to extract all the company names mentioned in the provided text.
Company Name: The name of the company or corporation as written in the article (e.g., "Apple Inc.", "Microsoft").
Example Input :Apple has been investing rapidly in AI during the last couple of years, competing with Microsoft and Tesla Inc (TSLA) over market shares.
Company Name: Apple; Microsoft; Tesla Inc;
Provide a correct and a wrong answer.
User: KEY POINTS: The pan-European Stoxx 600 index closed up by 0.2%. Britain rolled out the Covid-19 vaccine developed by Pfizer and BioNTech. Market attention was heavily-focused on the state of Brexit talks this week. LONDON — European stocks closed marginally higher Tuesday afternoon, amid optimism over coronavirus vaccinations and as post-Brexit trade talks between the U.K. and EU continued to yield little progress. The pan-European Stoxx 600 index closed up by 0.2%, with a majority of sectors and major bourses in positive territory. London's FTSE index entered the black by the end of the session after initially trading lower. Market attention is heavily-focused on the state of Brexit talks this week. British Prime Minister Boris Johnson is to head to Brussels this week in a last-ditch attempt to secure a Brexit trade deal. He will meet with European Commission President Ursula von der Leyen after negotiators failed to make significant progress when talk resumed on Monday. In other news, Britain is rolled out the Covid-19 vaccine developed by Pfizer and BioNTech on Tuesday , making it the first Western country to start a general coronavirus vaccination program. Meanwhile, peer-reviewed results published in the Lancet medical journal Tuesday reiterated that the
Assistant:
Describe the significance, strengths, weaknesses, and hurdles of the Indian name 'Sura', strictly keep it under 350 characters. add emojis if you can to make it more attractive.
Please make the clearing chat work and make the chat list so that user can see previous chattings.
import gradio as gr
from gradio_client import Client

# Initialize the client by pointing to the Gradio Space
client = Client("yuntian-deng/ChatGPT4")

# Persistent conversation history
chatbot_history = []  # Stores chat history as a list of tuples (user, assistant)


def clear_chat():
    """
    Clears the global chatbot history and resets the Chatbot UI.
    """
    global chatbot_history
    chatbot_history = []  # Reset global chatbot history
    return []  # Clear the Chatbot UI


def chat_with_model(user_input, existing_history):
    """
    Interact with the chatbot while maintaining conversation context.

    Args:
        user_input (str): User's most recent message.
        existing_history (list of tuples): [(user1, bot1), (user2, bot2), ...], conversation context.

    Returns:
        updated_history (list of tuples): Chat history after receiving the assistant's response.
    """
    global chatbot_history  # Use global chatbot history

    # Update the global chatbot history
    chatbot_history = existing_history

    if user_input.strip():  # Check if the input is not empty
        # Call the Gradio backend Space
        result = client.predict(
            user_input,            # User message
            1.0,                   # Top-p value for creativity
            0.7,                   # Temperature for randomness
            len(chatbot_history),  # Chat counter
            chatbot_history,       # Conversation history context
            api_name="/predict"    # Gradio Space API endpoint
        )

        # Extract updated history
        updated_history = result[0]  # Gradio Space response (chat history)
        chatbot_history = updated_history  # Update global chatbot history

        return chatbot_history
    else:
        return chatbot_history  # If no user input, just return the existing history


# Build the Gradio app
with gr.Blocks() as app:
    gr.Markdown("## 🤖 ChatBot UI\nInteract with GPT-4 and reset the chat when needed.")

    # Chatbot UI
    chatbot = gr.Chatbot(label="Chatbot Conversation")

    # User input for the chatbot
    user_input = gr.Textbox(placeholder="Enter your message...", label="Your Message")

    # Buttons for sending a message and clearing chat
    send_button = gr.Button("Send")
    clear_button = gr.Button("Clear Chat")

    # Link the Send button to the chat logic
    send_button.click(
        fn=chat_with_model,
        inputs=[user_input, chatbot],  # User input and current conversation history
        outputs=chatbot  # Update the Chatbot UI with new messages
    )

    # Link the Clear button to the clear logic
    clear_button.click(
        fn=clear_chat,
        inputs=None,  # No input needed
        outputs=chatbot  # Reset the Chatbot UI
    )

# Launch the app
app.launch()
what wakeful rest is?
Let $ABC$ be a triangle with $BC=108$, $CA=126$, and $AB=39$. Point $X$ lies on segment $AC$ such that $BX$ bisects $\angle CBA$. Let $\omega$ be the circumcircle of triangle $ABX$. Let $Y$ be a point on $\omega$ different from $X$ such that $CX=CY$. Line $XY$ meets $BC$ at $E$. The length of the segment $BE$ can be written as $\frac{m}{n}$, where $m$ and $n$ are coprime positive integers. Find $m+n$.
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

وإنت ماخذ تسعة فاصل ثمنية ومدبرم وعامل هاذا الكل