agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
aiutami a creare un EA per mt4 con quete premesse e condizioni:

Logic
Opening (Entry Signal)
Open a new long position 1 points below the Pivot Point Support 3 level when all the following logic conditions are satisfied:

BBP MA Oscillator* (Smoothed, Smoothed, 3, 6) falls; and 
Oscillator of RSI* (Weighted, Typical, 10, 14) crosses the zero line downward. 
Open a new short position 1 points above the Pivot Point Resistance 3 level when all the following logic conditions are satisfied:

BBP MA Oscillator* (Smoothed, Smoothed, 3, 6) rises; and 
Oscillator of RSI* (Weighted, Typical, 10, 14) crosses the zero line upward. 
Closing (Exit Signal)
Close an existing long position when the market rises 204 points from the last entry price.

Close an existing short position when the market falls 204 points from the last entry price.

Handling of Additional Entry Signals**
Entry signal in the direction of the present position:

No averaging is allowed. Cancel any additional orders which are in the same direction. 
Entry signal in the opposite direction:

No modification of the present position is allowed. Cancel any additional orders which are in the opposite direction. 
Trading Size
Always trade a constant number of lots.

Opening of a new position - 0,1 lots. 
Protection
The strategy does not provide a permanent loss limitation.

The strategy does not use a Take Profit.

The position's Stop Loss will be set to Break Even price when the profit reaches 805 points.


tutto chiaro?
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:

حسرة على تةنس في الوقت هاذاكا وقت الترينو الابيض وشارع الحبيب بورڨيبة في طمبك الشتاء
Gary Stevens and Mary James are production managers in the Consumer Electronics Division of General Electronics Company, which has several dozen plants scattered in locations throughout the world. Mary manages the plant located in Des Moines, Iowa, while Gary manages the plant in El Segundo, California. Production managers are paid a salary and get an additional bonus equal to 10% of their base salary if the entire division meets or exceeds its target profits for the year. The bonus is determined in March after the company’s annual report has been prepared and issued to stockholders.
 
Shortly after the beginning of the new year, Mary received a phone call from Gary that went like this:
 
Gary:	How’s it going, Mary?
Mary:	Fine, Gary. How’s it going with you?
Gary:	Great! I just got the preliminary profit figures for the division for last year and we are within $60,260 of making the year’s target profits. All we have to do is pull a few strings, and we’ll be over the top!
Mary:	What do you mean?
Gary:	Well, one thing that would be easy to change is your estimate of the percentage completion of your ending work in process inventories.
Mary:	I don’t know if I can do that, Gary. Those percentage completion figures are supplied by Tom Winthrop, my lead supervisor, who I have always trusted to provide us with good estimates. Besides, I have already sent the percentage completion figures to corporate headquarters.
Gary:	You can always tell them there was a mistake. Think about it, Mary. All of us managers are doing as much as we can to pull this bonus out of the hat. You may not want the bonus check, but the rest of us sure could use it.
 
The final processing department in Mary’s production facility began the year with no work in process inventory. During the year, 280,000 units were transferred in from the prior processing department and 262,000 units were completed and sold. Costs transferred in from the prior department totaled $72,940,000. No materials are added in the final processing department. A total of $17,802,200 of conversion cost was incurred in the final processing department during the year.
 
Required:
1. Tom Winthrop estimated that the units in ending work in process inventory in the final processing department were 25% complete with respect to the conversion costs of the final processing department. If this estimate of the percentage completion is used, what would be the cost of goods sold for the year?   just give me the answer !
How can I deal with people overreacting to an event that doesn't really have that much impact?
Best Practices for Efficient Remote Work, generate a personal experience with this, add hash tag at the bottom, less than 700 characters only, only strings, no </br> html
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
comment avoir un visage sans bouton
Мне нужно провести многоклассовую классификацию. Есть массив с текстами с размеченными данными. from sklearn.model_selection import train_test_split

# разбиваем выборку на тренировочную и тестовую
train_df, test_df = train_test_split(train_data, test_size=0.2, random_state=42)

# разбиваем тестовую выборку на тестовую и валидационную
test_df, val_df = train_test_split(test_df, test_size=0.5, random_state=42) import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences

max_len = 600  # максимальная длина последовательности
num_classes = 13 # число классов для классификации

# создаем токенизатор
tokenizer = Tokenizer()
tokenizer.fit_on_texts(train_df['text'])

# преобразуем текст в последовательность чисел
train_sequences = tokenizer.texts_to_sequences(train_df['text'])
test_sequences = tokenizer.texts_to_sequences(test_df['text'])
val_sequences = tokenizer.texts_to_sequences(val_df['text'])

# добавляем паддинг
train_sequences = pad_sequences(train_sequences, maxlen=max_len)
test_sequences = pad_sequences(test_sequences, maxlen=max_len)
val_sequences = pad_sequences(val_sequences, maxlen=max_len)

# создаем модель seq2seq
input_dim = len(tokenizer.word_index) + 1
embedding_dim = 50

model = keras.Sequential([
    layers.Embedding(input_dim=input_dim, output_dim=embedding_dim, input_length=max_len),
    layers.LSTM(units=64, dropout=0.2, recurrent_dropout=0.2),
    layers.Dense(num_classes, activation='softmax')
])

model.summary()  # выводим информацию о модели from sklearn.metrics import f1_score
import tensorflow.keras.backend as K
from tensorflow.keras.losses import CategoricalCrossentropy


import numpy as np

from keras import backend as K

def recall_m(y_true, y_pred):
    true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))
    possible_positives = K.sum(K.round(K.clip(y_true, 0, 1)))
    recall = true_positives / (possible_positives + K.epsilon())
    return recall

def precision_m(y_true, y_pred):
    true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))
    predicted_positives = K.sum(K.round(K.clip(y_pred, 0, 1)))
    precision = true_positives / (predicted_positives + K.epsilon())
    return precision

def f1_m(y_true, y_pred):
    precision = precision_m(y_true, y_pred)
    recall = recall_m(y_true, y_pred)
    return 2*((precision*recall)/(precision+recall+K.epsilon()))


#model.compile(loss=CategoricalCrossentropy(), optimizer='adam', metrics=['acc',f1_m,precision_m, recall_m])
model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['acc',f1_m,precision_m, recall_m])


history = model.fit(train_sequences, train_df['category'], 
                    epochs=10, batch_size=1000, 
                    validation_data=(val_sequences, val_df['category']))      31 
---> 32 history = model.fit(train_sequences, train_df['category'], 
     33                     epochs=10, batch_size=1000,
     34                     validation_data=(val_sequences, val_df['category']))  ValueError: Shapes (None, 1) and (None, 13) are incompatible
Assistant: 
User: System: Analyze the reviews: Analyze the app reviews and categorize the emotional tone of each review as 'positive,' 'negative,' or 'neutral.'

Focus on language and context: Pay close attention to the language, tone, and context used in the reviews to accurately determine the emotional sentiment.

Assign to nearest category if unclear: If a review does not clearly fit into one of the three categories ('positive,' 'negative,' or 'neutral'), assign it to the nearest category based on the overall tone, language, and context.

Identify common trends: Provide insights into frequent patterns, recurring issues, or emotions that often emerge in the reviews.

When analyzing ambiguous sentiments, you can use additional rules to make them more specific. For example, “If the user uses positive language but has trouble executing, they can be classified as a general ‘neutral’ sentiment.”

Output sentiment in Turkish: Display the results in Turkish, with the sentiment explicitly classified as 'pozitif,' 'negatif,' or 'nötr' at the end of each review (e.g., 'Duygu durumu = pozitif, negatif, nötr').
User: Gramaja gore siralama eklenmeli
Assistant:
Assistant:
Create a long detailed text about actress Jane Russell with the following summary. The title of the video is"Most Breathtaking Actresses Pre-1960". Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Jane Russell] Summary: [Jane Russell was a popular actress, singer, and model in the 1940s and 1950s, known for her sex symbol status and roles in over 20 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.
can adults eat resource junior
"Users quit before remembering their 7-year old password" in different languages (English:) (Japanese:)
how to organize a social language academic paper structure
void foo(void) {
      a=1;
      smp_mb(); // memory barrier
      b=1;
  }
  ​
  void bar(void) {
      while (b == 0) continue;
      assert(a == 1);
  }
how to scral 10 last sport news from newsweb and save in text file
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 experienced and may continue to experience theft, loss, or damage to our products during the course of shipment to our customers by third-party shipping carriers or from our inventory. Additionally, as of December 31, 2021, we had 15 showrooms across the U.S. While these showrooms differ from traditional retailers in that they do not stock significant amounts of inventory to sell to consumers, they do have some products on display, and we allow customers to pick-up and return products purchased online to the store. We have taken steps to prevent theft of our products. However, if security measures fail, losses exceed our insurance coverage or we are not able to maintain insurance at a reasonable cost, we could incur significant losses from theft, which would substantially harm our business and results of operations._We rely heavily on our information technology systems, as well as those of our third-party vendors and service providers, for our business to effectively operate and to safeguard confidential information and any significant failure, inadequacy or interruption of these systems, security breaches or loss of data could materially adversely affect our business, financial condition and operations._
Assistant:
Use the Wronskian to show the following set of functions is linearly independent in the
vector space of continuous functions with at least 3 continuous derivatives: {{x, e^x
, cos(x),sin(x)}.
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:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Afghan parliament approves U.S. partnership

What is a sentence that would be (on a scale from 0 to 5) a (V) out of 5 in terms of textual similarity to the above sentence?
Answer: The Afghan government says yes to being friends with America.
```rust
fn main() {
    let (error_message, error_stack) = match run_tauri_app() {
        Ok(()) => {},
        Err(err) => {
            let error_message = err.to_string();
            let error_stack = err.backtrace().unwrap().to_string();
            (error_message, error_stack)
        }
    };

    println!("Error: {}", error_message);
    println!("Stack trace: \n{}", error_stack);
}
```

in this Rust code, will the `println!` only run if `run_tauri_app` returns an error?
16. Translate the following words and word combinations into Ukrainian and make up your own sentences in English.

Performing arts, to create, a musical comedy theatre, a drama theatre, a
national opera house, an audience, an auditorium, a scene, scenery, a stage,
an expression, a mate, audience facilities, to take in a show, elaborate, a
mainstream theatre, a rehearsal, a first night, a repertory company, to re-
enact, virtual, to trigger, to shatter, a minstrel, to cater for, off-Broadway, an
interval, an intermission, a long run, a stage version, to inspire, to encour-
age, a curtain, a playwright, a cast, to encore, a script, a mainstream theatre,
leg room, mass-market appeal, a long run.
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
Rurouni Kenshin S02E14 [Hindi]_360P SD.mp4
Ты — эксперт по играм. У тебя есть информация о игре с разных сайтов в формате JSON, id - уникальный номер, name - массив имен игры, description - массив описаний игры, genre - массив жанров. Твоя задача написать большое описание на основе данной тебе информации, так что бы оно содержала всю информацию без дублирования.  ```{"_id":"1","name":["игра мечтая в праге","dreaming in prague","game dreaming in prague"],"description":["when we bump into a list of the most romantic cities in europe, prague is always positioned at the highest ranks. like some people explain, it is hard to beat the twisty, cobbled lanes of prague's mala strana district. the game dreaming in prague belongs to the categories puzzle, hidden objects and has been played 5828 times. it has a score of 78 and it has received 43 yes and 12 no. in the same categories you can find the games fantasywood guards and cooking perfection which we think you should try.","эшли всегда хотела попасть в прагу, и вот наконец-то ее мечта сбылась. помогите девушке отыскать все необходимые предметы.","ashley is a very curious girl who loves to travel all around the world. today, she is in prague and she hopes to find many objects in the city. can you help her to find them all? use hints if you need to and have fun!","when we bump into a list of the most romantic cities in europe, prague is always positioned at the highest ranks. like some people explain, it is hard to beat the twisty, cobbled lanes of prague's mala strana district. at this place, sonatas spread out of palace windows and quiet baroque gardens show up behind great grandiose gates. the fact that the city's centuries-old architecture has been hardly scratched during the second world war, makes it an appropriate setting to a way of life that gave us the term bohemian.ashley is a journalist in one new york magazine that searches for the most romantic places in the world. she has never been to prague, but according to what she read and hear about it, it could definitely be one of the most romantic cities in the world. however, she used to make her columns based on facts and that's why she asks her editor to allow her a trip to prague. she would like to take a closer look at the city and then write her own column about it. she is quite prepared and knows which places should she visit, but also she will find something at the place as well.ashley's editor was kind enough so she gave her the opportunity to visit prague. at the moment she is in prague where she starts her romantic journey. through her search we will also see the most beautiful places in prague and enjoy this bohemian city.","when we bump into a list of the most romantic cities in europe, prague is always positioned at the highest ranks. like some other people, ashley loves this city and she will spend time in it today. help the girl to find objects there and to use hints to solve the game more easily. good luck!"],"genre":["mind games","romance","mind","игры онлайн","поиск предметов","игры для детей, игры для девочек","games","searching games","online games"]}```
The equation of a circle with radius 12 is given below.

x²+y²+10x-6y=b
Complete the squares to find the value of b.

 A. 
110
 B. 
34
 C. 
178
 D. 
280
User: !ai
User: !Ai תעשה לי שאלה יומית
User: !h
User: !work
User: !setai disable
Assistant:
Goal
   Objectif est d'identifier l'origine d'une recette de cuisine et de retourner un code correspondant dans un format JSON structuré.

    1. Recherche d’un pays mentionné dans la recette et extraction de son code ISO 3166-1 alpha-2.
    2. Détermination de l’origine culinaire du pays si aucun pays n'est explicitement mentionné.
    3. Identification d’un continent si aucun pays ne peut être déterminé.
    4. Retour du code WWW si l’origine ne peut être définie.

    Return Format
    Renvoies un objet JSON structuré comme suit :
    json
    {
        "data": "<code>"
    }
    - Si un pays est mentionné, utilise son code ISO 3166-1 alpha-2 (ex. : FR pour la France).
    - Si aucun pays n'est trouvé, renvoie un code de continent parmi :
        WAF (Afrique)
        WAS (Asie)
        WEU (Europe)
        WNA (Amérique du Nord)
        WSA (Amérique du Sud)
        WOC (Océanie)
    - Si aucune information ne permet de déterminer une origine, renvoie WWW.

    Warnings
    - Respecte l’ordre de priorité : pays → continent → code WWW.
    - Le code ISO 3166-1 alpha-2 doit être exact et valide si un pays est identifié.
    - Le format du JSON doit être strictement respecté et bien formatté.
    - Ne fais aucune supposition infondée sur l’origine de la recette.

    Context Dump
    Données de la recette fournies :

    json
    {
  "title": "Red Red",
  "description": "The aptly named \"Red Red,\" eaten at all hours of the day, is iconic Ghanaian street food. It takes its name from the red palm oil used in it, but also from the fried plantains which often accompany it. Here, I've replaced the fried plantains with avocado slices.",
  "subtitle": "Ghanian Red Stew",
  "ingredients": [
    {
      "section": "For the recipe",
      "ingredients": [
        "7 ounces (200 g) black-eyed peas",
        "¼ cup (60 ml) red palm oil (or argan oil)",
        "1 large red onion, minced",
        "2 garlic cloves, minced",
        "One 1.5-inch (4 cm) piece of ginger, minced",
        "1 tablespoon tomato paste",
        "4 ripe tomatoes, chopped",
        "2 habanero chile peppers or small sweet peppers",
        "2 cups (480 ml) vegetable stock",
        "Sliced avocado",
        "Flat-leaf parsley sprigs, chopped",
        "Salt",
        "Black pepper"
      ]
    }
  ],
  "instructions": [
    "1. Soak the black-eyed peas in hot water for 30 minutes.",
    "Place the beans in a large pot and cover with water.",
    "Bring to a boil, reduce to a simmer, and cook until tender, 30 to 40 minutes.",
    "2. Heat the oil in a frying pan over medium-high heat.",
    "Add the onion, garlic, and ginger and cook until tender and lightly caramelized, 3 to 4 minutes.",
    "Stir in the tomato paste, add the tomatoes and habaneros, stir for 1 minute, and cook for 10 minutes.",
    "3. Add the black-eyed peas and vegetable stock to the pan, reduce the heat to low, and simmer until creamy, 30 minutes.",
    "4. Season with salt and pepper to taste, then top with avocado and parsley and serve."
  ],
  "author": ""
}