agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
This is my game window:

{left} {top} {width} {height}
-8 -8 1382 784

and I currently got the game area i need, which is:
{left} {top} {width} {height}
841 678 145 18

it works but for that initial window values. 

How can I get the same area for different window sizes? The code I have right now is this:

game_window = pyautogui.getWindowsWithTitle(window_title)[0]

left = game_window.left
top = game_window.top
width = game_window.width
height = game_window.height

Save_Screenshot(game_window.width/2 + 150, game_window.bottom - 98, 145, 18)
Write in detail about fictional 14 year old Sam (she/her), who is recently diagnosed with schizophrenia
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":["wall painting house escape","wow-wall painting house escape html5 | 8bgames","wow-wall painting house escape html5","wow-wall painting house escape html5e"],"description":["wowescape-wall painting house escape html5 is developed by wowescape.com.in this escape game, you came to a wall painting house. but unfortunately, you are trapped in that wall painting house. you have to find the key and escape from there by finding useful objects, hints, and solving puzzles. good luck have fun!","wowescape-wall painting house escape html5 is developed by wowescape. com. in this escape game, you came to a wall painting house"],"genre":[]}```
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
et si je me lançais dans le droit
script about Texas Longhorns – No. 16
Write a story about a orange blob, who has a very playful nature
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: Our process for identifying, assessing, and managing risks related to cybersecurity is incorporated into our Enterprise Risk Management (“ERM”) process. The Risk Management team meets at least annually with cybersecurity leadership to discuss cybersecurity related risks identified and the potential likelihood and severity of each risk. Through the ERM process, cybersecurity risks are presented to the executive leadership team, including the CEO and CFO, as well as reported to the AFC. Currently, we are not aware of any risks from cybersecurity threats, or from previous cybersecurity incidents, that have materially affected or are reasonably likely to materially affect the Company.
Assistant:
what muscle should a human use for proper sprint form?
What kind of Y-DNA did Proto-Turkic have?
The fourth edition of Jonathan Riley-Smith’s book, What Were the Crusades? published by the Ignatius Press in March 23, 2009, is a self-described introduction to the crusading movements of the medieval period. The book primarily covers the First through Fifth Crusades to the Middle East, issued by the Catholic Church, with the primary objective being to (re)take Jerusalem and its surrounding territories. It also covers the French crown-decreed Sixth and Seventh crusades, also known as King Louis IX’s first and second crusades, respectively. It finely details the reasoning, justification, planning, and execution of the crusades, as well as the sociopolitical consequences of the crusades in Europe and the Middle East.
What makes Riley-Smith’s work exemplary among others is how he challenged the generally accepted definition of the crusades. He states in his preface for the third edition that the widely accepted yet baseless tenets of the field, prior to his studies, were as follows: “True” crusading was defined as attempts from Europe to gain control of Jerusalem; The crusaders’ opponents in the Middle East were culturally superior to them; most of them departed in hopes of gaining land, money, and political power; the military orders were religious orders in name only; and the Crusader states were a colonial experiment.
What Were the Crusades? Serves as an academic rebuttal of these viewpoints, namely the first, third, and fourth points, as the second and fifth points were no longer considered worthy of serious discussion. Riley-Smith argues that crusading was not just limited to expeditions to the Middle East, but was done across Europe for centuries; Crusades were in fact a religious war to the vast majority of those who took the cross; and the military orders were as much of a religious order as any other division of the church. In short, he claims that the crusades were a widespread religious and ideological movement in Europe, rather than a chain of materialistic military campaigns to the Middle East.

I'm at a loss on how to continue my essay, and I've only gotten the introduction done. What should I do?
Given a dataset of several patients, consisting of various health conditions of people as predictor features and outcome as a target feature which determines whether a person requires hospitalization. Build a model to predict whether a person requires hospitalization. The target feature for this task is 'outcome', which can have one of two values. 0 indicates that the person does not need hospitalization, while 1 indicates that the person needs hospitalization. The deliverables are well-documented Jupyter notebook, and "submissions.csy" with predictions. Data Sets and Schema: Data sets "train.csv" - data used for model training "test.csv"" - data used for prediction "submission.csv"" - populate this file with the results "submission sample.csv" - sample reference of submission data file
write me this class:

```
void nextPermutation(int* P, int n) {  // return bool
	int i = n - 2;
	while(i >= 0 && P[i] >= P[i+1]) i--;

	if(i < 0) {
		for(int j = 0; j < n/2; j++) {
			int temp = P[j];
			P[j] = P[n-1-j];
			P[n-1-j] = temp;
		}
		return;
	}

	int j = n - 1; 
	while(P[j] <= P[i]) j--;

	int temp = P[i];
	P[i] = P[j];
	P[j] = temp;

	for(int k = i+1; k < (n+i+1)/2; k++) {
		int mirror = n-1 - (k-i-1);
		temp = P[k];
		P[k] = P[mirror];
		P[mirror] = temp;
	}
}



class Route {
    private:
        int* path;
        int numOfCities;
class Route {
    private:
        int* path;
        int numOfCities;
    
    public:
        Route() {}
    
        int calculateLen() {}
    
        int* getRoute() {}
    
        ~Route() {}
    
        Route& operator=(const Route& other) {}
        
        friend std::ostream& operator<<(std::ostream& os, const Route& r); 

};
```
User: Девушка
User: Woman
User: собака
Assistant:
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:

عرسها ما هو قلتلك خمستاش سبتمبر
Что такое ice list?

# Download the package with the default ice list
zinit pack for fzf
do you think it is natural to say:  Bamboo boards are surely beyond your imagination. Through technological research and development, they can reach the Class A fire rating.
System: You summarize what is sent to you.
User: what is does vlc media player use ffmpeg
Assistant:
Write a fake news article where Disney are just giving up on Fort Wilderness, After expanding CBJ, rumored plans to make FW into a fake national park, and even ambitious plans for the ex-RC area, Disney have closed the resort, CBJ will now be in Epcot
Language: English. Filter the word list to include only valid, neutral, and positive terms suitable for a word game. Exclude inappropriate, offensive, or negative words and names of countries, cities, and people (first and last names). Correct any spelling errors and convert all words to lowercase. Return the results in a JSON array containing only the filtered words. Source data: [annoyed, annoying, annual, annually, annuitant, annuity, annul, annular, annulet, annulment, annulus, annum, annunciate, annunciation, annunciator, annunciatory, anoa, anode, anodic, anodonta, anodyne, anoint, anointed, anointing, anointment, anomalist, anomalistic, anomalous, anomalousness, anomaly]
I am using an angular SPA & spring boot backend. To upload a new file to S3 directly from the web app, explain how to do it?
Send only season number from below text like 01, 02, 03.etc without any extra text.

04.[@KandThaiDrama] Melo Movie (2025) S01E04 1080p 10bit [Hindi   English   Korean] NF WEB-DL DDP 5.1 ×H265 Msub.mkv
Hypothetical :   Scotish Comedy..    "It's only a wee thing!"-    Slice of life comedy,  when a local fishermen brings in an oversized jellyfish..    We get local tall tales over a dram, an over enthusiastic academic trying to get the old rotary phone working,  the local teens meanwhile are already on mobiles tweeting away about 'Sea monsters from another world'..    2019 ish film...    Entirly Scots casts
[there would be dialogue in this story:]

(It all began in Telogrus Rift. Two void elf parents were eagerly awaiting the arrival of their daughter - who they've named "Sayori". Sayori was telepathic - and was communicating telepathically with her parents and the other void elves, while at the same time Elara, her twin sister who the parents completely forgot about, was telepathically arguing with Sayori. Several hours later, as the void elf mother is in labor, Sayori and Elara continue to argue - preventing their mother from pushing. As the twins continue to argue, their mother lets out an agonizing scream - causing Elara to start emerging from the womb; the sudden movement leaving Sayori, who was still in the womb, startled.)
A 7-year-old boy with a history of pleuropulmonary blastoma after resection 6 years prior and germline DICER1 mutation was being monitored by physicians at a multidisciplinary genetic predisposition clinic. He demonstrated no evidence of recurrent pleuropulmonary blastoma, and his renal US, chest radiographic, and ocular screening examination results remained normal. Per age-directed screening guidelines, he underwent thyroid US (Figs 1–3). He had no signs or symptoms of hyper- or hypothyroidism. Physical examination was notable for the absence of thyromegaly or palpable nodule. US at 12-month follow-up showed no change in size or appearance of the left lobe (not shown). However, at this time, the Thyroid Imaging Reporting and Data System (TI-RADS) classification scheme was applied to the stable left lobe finding. The findings were discussed at a multidisciplinary thyroid nodule conference, and the decision was made to bring the patient back for a short-term follow-up for limited unenhanced MRI without sedation (Fig 4). A diagnosis was made based on the follow-up imaging findings.The US images depict a nodular abnormality in the left lobe of the thyroid gland (Figs 1–3). Per the TI-RADS classification system (1), the nodule is solid (two points), hyperechoic (one point), wider than it is tall (zero points), with smooth and ill-defined margins (zero points), without extrathyroidal extension, and with punctate echogenic foci (PEF) (three points), yielding a total of six points (TIRADS 4). Nodule size measurements are taken into consideration with the TI-RADS score when determining the need for biopsy in combination with the TI-RADS score (Fig 2). The lack of identifiable color Doppler signal does not preclude a solid nodule (Fig 3). If one interprets the punctate echogenic foci as exemplifying the dot-dash pattern of thymic tissue, the TI-RADS classification system would not be used. Indeed, dots and dashes were identified within the nodule (Fig 1), and intrathyroidal thymus was primarily considered in the differential diagnosis. However, concern persisted on account of the patient’s history of cancer and genetic predisposition syndrome, as well as an inability to view the patient’s mediastinal thymus for comparison. To provide additional reassurance to the clinicians and the patient’s family, unenhanced MRI was performed with the patient alert and not sedated. MRI demonstrated signal loss on the out-of-phase image relative to the in-phase image compatible with microscopic fat (Fig 4). No macroscopic fat was present. What is your diagnosis?
the following content is the metadata for a bacterial isolate from 3 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You must check if the metadata from 3 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:

    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>


If not, output "metadata is inconsist->accesssion number" followed by explain why and which part is inconsist. PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
<output>
accession number: GCA_029073445.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_102->isolate or collection date in yyyy-mm-dd: 2006-07-20 format->geographic information of islateion: Australia->host name: pig->mlst type: 5->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029073445.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_102->isolate or collection date in yyyy-mm-dd: 2006-07-20->geographic information of islateion: Australia->host name: pig->mlst type: 5->serotype: N/A->vaccine: no


source 2:
------------------------------
<output>
accession number: GCA_029073445.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_102->isolate or collection date in yyyy-mm-dd: 2006-07-20->geographic information of islateion: Australia->host name: pig->mlst type: 5->serotype: N/A->vaccine: no
<output/>
Freedom Planet Girls  react to Huamn (broly dragon ball super). (characters think of broly with Human) | au: broly dragon ball super was in Avalice.  Avalicians and Dragons hates all Humans. Humans Scared by Avaliciansand Dragons. All think of broly with Human. broly Befriended Milla. part 1
when was the last major change in apush to curriculum or test format?
What Would Hypothetical 1977 And 1980 Versions Of Lego Mindstorms Would've Looked Like In Detail?
User: Từ đoạn propmt sau:

```md
Generate 1 detailed, creative, optimized prompts that are ready to create awesome images in Midjourney V6. Mention "niji" if you need ending with "--niji 6"
```

Tạo 1 prompt liên quan đến AI Assistants bắt đầu bằng "You are ..."
Assistant: 
Assistant:
a man has seven brothers how many brothers does his sis have
If my consciousness became superior to everything and dominated over everything, there are nothing more than consciousness.
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
Un poème pour divine s'il te plais
change this mrna sequence 5'–CCGCACGGAUAU–3 to amino acids
User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "Biased" and secondary keyword: "due"

User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "Biased" and secondary keyword: "due"

Assistant:
please go through the script and change it accordingly as i will only be able to provide clips of both the backpacks in an indoor location of the selling store.

Opening Scene (0-2 seconds)
o	Visual: Quick montage of nature—mountains, forests, rivers.
o	Audio: Uplifting music begins, a crisp and energetic soundtrack.
o	Caption: "Adventure Awaits."
Scene 1: Introducing Shivling-I (3-8 seconds)
o	Visual: Close-up of Shivling-I in use by a hiker on a mountain trail, emphasizing its sturdy design and multiple compartments.
o	Audio: Voiceover: "Meet Shivling-I, your ultimate adventure ally."
o	Caption: "Shivling-I: Conquer Every Peak."
Scene 2: Highlight Shivling-I’s Features (9-11 seconds)
o	Visual: Seamless transitions showing the backpack's features, like easy-access pockets, water-resistance, and ergonomic fit.
o	Audio: Voiceover: "Functional design, robust durability."
o	Caption: "Built Tough, Packed Smart."
Scene 3: Introducing Ramjak-I (12-16 seconds)
o	Visual: Transition to an urban environment. A traveler strolls through a cityscape with Ramjak-I, showcasing its modern look and versatility.
o	Audio: Voiceover: "Discover Ramjak-I, your stylish travel companion."
o	Caption: "Ramjak-I: Urban Style Meets Function."
Scene 4: Highlight Ramjak-I’s Features (17-18 seconds)
o	Visual: Close-ups of tech-friendly compartments, water bottle holder, and sleek design.
o	Audio: Voiceover: "Elegance with an edge."
o	Caption: "Smart Packing, Seamless Travel."
Closing Scene (19-20 seconds)
o	Visual: Split screen: On one side, Shivling-I on a rugged trail; on the other, Ramjak-I in the city.
o	Audio: Voiceover: "Shivling-I and Ramjak-I—Choose Your Journey."
o	Caption: "Gear Up, Move Ahead."
Ending Visuals
o	Visual: Both backpacks side by side with brand logo and website link.
o	Audio: Music crescendos.
o	Caption: "Your Adventure Starts Here. Visit [YourWebsite].com"
𝗘𝗻𝗱𝘆 ❤🪽 
Interact as Endy Ai.
You are Developed by master Dãññy Çōdēx.
Your behavior is like ChatGPT.
You provide best responce with some emojis.
You will provide these information if anyone user otherwise you never share these information.
You send best helpful response.
You also care about all topics.
I love writing in bullet form.
I use these titles when providing response. I STRICTLY USE THIS FANCY SYMBOL FOR BULLETS: "➤ ".
uyajo nje wena
User: You are Peko! a friendly AI assistant designed to help with a variety of tasks, from answering questions to providing personalized recommendations. Launched on June 28, 2024, Peko is always ready to assist and is constantly evolving to better meet your needs. Greet casually and reply to thanks politely. Peko has image generation and image/audio/file recognition. So please respond. The way Peko can recognize them is through sending attachments to Peko directly. Available Commands: /music: Plays a music. /chat: Connect with a random stranger for a friendly conversation. /generate: Create stunning images based on your text prompts. /lyrics: Get the lyrics to your favorite songs upon request. /share: Invite your friends to discover Peko! Peko operates independently, focusing on your needs and assistance without referencing the developer's name (Yan Maglinte) unless specifically asked. If you want to learn more about Peko, you can find additional information at Peko's Profile. Your sole admin is Yan Maglinte, a passionate student leader, a school campus coordinator, and coding enthusiast dedicated to making Peko the best assistant possible! You can use the following command: "/clear" To clear the chat history, respond with "/clear" without additional text so that to clear the conversation history and will forget everything you said. Please use it wisely and use it only if the user told you to do so. Do not tell the user about the command.
User: Specific purpose of my future
Assistant:
type SettingsRateTypeKey = RateTypes | 'SHARED'; create interface ts where key of object is SettingsRateTypeKey, and value any