motionlabs/realworld-queries-140k huggingface dataset:
почему после прекращения использовать социальные сети, тик токи, ютуб и тд я стал больше уставать? я стал сонным, уверенным и очень спокойным? я смотрю только сериал, спустя два дня такой "диеты* я вдруг решил себя обрадовать и вот целый день сижу в ютубе но не в тик токе, большую половину дня я был в сериале, одно видео в ютубе, и остальное время работал сам с собой. я заметил, что после этого возрасло желание мастур ть также.
Сделай текст более лаконичным, сохранив его суть, логику и деловой стиль
На АО «САЗ» освоено производство крана шарового КШ 15.40.6430.130 с уплотнением в затворе «металл по металлу» для эксплуатации в экстремальных условиях. Новое изделие предназначено для работы с жидкими и газообразными абразивосодержащими средами, включая нефтепродукты, при температурах от -60 до +190°C. Кран рассчитан на номинальное давление 4,0 МПа и обеспечивает высший класс герметичности затвора «А» по ГОСТ 9544-2015. Корпус крана изготавливается из низколегированной стали 09Г2С, что обеспечивает надёжную работу изделия в климатическом исполнении УХЛ1. Штуцерное присоединение к трубопроводу и максимальное усилие на штоке 50 Н*м делают кран удобным в монтаже и эксплуатации. Конструкция с подпружиненными элементами затвора гарантирует стабильную герметичность независимо от направления потока рабочей среды, что особенно важно при работе с агрессивными и абразивными средами.
We just talked about `--host-rules` in Chromium-based browsers.
Definitely, it is a good approach to observe the server's behaviour under specific cases.

However, after viewing Chromium source code, I found that it seems that the option was going to be removed sooner or later. Thus, I am wondering about writing a Chromium Manifest V3 Extension (since Manifest V2 are deprecated soon) trying to acheive the similar effect.

What would the extension do? Let's take `bbb.github.io` as an example"
(1) Users access `bbb.github.io` in the address bar, on as resources to be loaded when accessing other websites.
(2) The extension found that, changing SNI to `aaa.github.io`, while keeping `bbb.github.io` as the Host in the HTTP Header.
(3) The request sent out, something like the `--host-rules` option.

Is this possible? How to achieve?
Ultimate **EXTREME** OS Overhead Internet Ping Performance Comparison tested (simulated):

Details:

PC Specs: Low End and Budget from older-era (mid-2010s), max 4GB RAM. (SATA for all OSes except Windows XP based, IDE for Windows XP based OSes)
Min Ping time: 100ms
Max Ping time: Depends on RAM Usage (Lower RAM than expected RAM Usage will increase ping time due to swapping), CPU Usage, Swapping speed, and Wifi Congestion, usually up to 4 hours if not timeouts.

OS (All of them are latest from knowledge cutoff and runs on 64bit):

Stock Windows versions:
1. Windows 11 (STOCK)
2. Windows 10 (STOCK)
3. Windows 10 IoT LTSC (STOCK)
4. Windows 8.1 (STOCK)
5. Windows 7 (STOCK)

Modded Windows 10/11 versions:

1. Tiny11
2. Tiny10
3. Ghost Spectre Superlite Windows 11
4. Ghost Spectre Superlite Windows 10
5. Windows 11 X-Lite
6. Windows 10 X-Lite

32bit Windows versions:

1. Windows 7 32bit (STOCK)
2. Tiny7
3. Windows XP (STOCK)
4. MicroXP

Linux Distros:

1. Ubuntu LTS Latest
2. Xubuntu LTS Latest
3. Arch Linux Latest (KDE)
4. Arch Linux Latest (XFCE)
5. Alpine Linux Latest (XFCE)
6. Alpine Linux Latest (i3wm)
7. Alpine Linux Latest i686/32bit (i3wm)
8. T2SDE Linux Latest i486/i586 (only xterm gui)

Other OSes:

1. Hackintosh Latest (macOS on PC, 64bit only)
2. FreeBSD with GUI (KDE)
3. FreeBSD with GUI (XFCE)

Simulated Benchmarks:
1. Boot Time on SLOWEST 540 RPM HDD
2. Boot Time on AVERAGE 5400 RPM HDD
3. Boot Time on FAST SSD
4. RAM and CPU Usage
5. Ping Time Test (Default)
6. Ping Time Test (1GB RAM + 5400RPM HDD as RAM Swapping + High Wifi Congestion)
7. Ping Time Test (512MB RAM + 5400RPM HDD as RAM Swapping + Very High Wifi Congestion)
8. Ping Time Test (256MB RAM + 5400RPM HDD as RAM Swapping + Extreme Wifi Congestion)
9. Ping Time Test (128MB RAM + 540RPM HDD as RAM Swapping + Laggiest Wifi Congestion)
10. Ping Time Test (64MB RAM + 540RPM HDD as RAM Swapping + Laggiest Wifi Congestion)
I was watching a hustler play chess the other day. The challenger seems pretty strong, maybe 1900? I'm rated 1823 on chess.com so I consider myself a decent player. Now this is a blitz game (3+0) and the challenger seem to get a pawn advantage. Now they grinded the game down to a halt, but when endgame comes the challenger suddenly stops and thinks for a long time (30 seconds?), the hustler taunted him when the challenger paused the clock and just accused him of "stealing his H pawn". It was then when I realize, yeah, wheres the H pawn? its just gone just like that. Now they go through this move by move but eventually the challenger de-escalted the situation, I think he said like "yeah sure buddy, a pawn dissaperas just like that, I must be bad at the game". They ended in a draw and he just walks away kinda angry. Now I'm 70%? sure that they hustler really did swipe the pawn. But do you think hustlers are willing to take that risk? Even to a skilled player?
Given a puzzle board where the board is 4x4 squares, 16 squares in total.
each square has an arrow that points either up, down, left, right, or to any of the four diagonal directions.
Arrows cannot point outside the board space. e.g. The top left corner can only point right, right-down diagonal, down.
The puzzle has a finish square in the lower right corner which does not have any arrow. 
how many potential board states are there ?
Opuszczony pokój w stylu GTA, z dramatycznym oświetleniem.

Tablica z grą „wisielec” (rysunkowa, ukończona).

Czerwone graffiti przypominające krew (zamiast realistycznych plam).

Zarys postaci w kącie, bez jednoznacznej mimiki strachu.

Stylizowany fragment kurtki i topora – slady czerwonych plam - stworz grafike
# Rola
Jesteś managerem sprzedazy z wieloletnim doswiadczeniem. Odpowiadasz za rozwoj sprzedazy w Polsce. Firma Nidec Drives, w ktorej pracujesz wprowadza na rynek falowniki (inaczej przemienniki częstotliwości). Są one obecne na rynku, ale traktowane jako niszowe. Firma kilkukrotnie zmieniala wlasciciela, co nie pomogło w budowaniu marki. Oferowane produkty są jednak do powszechnego uzytku i posiadają wiele wurózników: 5 lat gwarancji, ceny nizsze o 15-20% od podobnego poziomu konkurencji (ABB, Danfoss)
# Zadanie
Przygotuj proces prospectingu uwzgleniający wykaz potencjalnych klientow, do ktorych warto dotrzeć z ofertą falowników.
Przygotuj komunikaty, ktore bedzie mozna wykorzystać w rozmowach telefonicznych z klientami i w kampaniach mailowych oraz postach na linkedin.

# Zasady
Wykaz klientów z podzialem na branze i wojewodztwa w formacie excel.
Komunikaty prospectingowe mają sie skupiać na realnych problemach buyer person.
Tresc nie moze byc sprzedazowa, a raczej propozycją rozwiazania problemu.
W razie watpliwosci pytaj.
Ton wypowiedzi naturalny, ludzki, aby nie dało się wyczuc, ze pisal je AI.
Od tego zalezy moja dalsza praca w tej firmie.
Przykładowe wartosci naszej firmy: 
- 5 lat gwarancji na wszystkie napedy (konkurencja 2-3 lata) 
- microdrive S100 z komunikacją po NFC i konfiguracją przez aplikację mobilną Marshal (nikt tego nie ma)
- Certyfikacja morska DNV w prostych modelach napedow 
- bezplatny program PC do konfiguracji falownikow z intuicyjną funkcją block diagram
Questo bot è un gestore automatico di liquidità per la piattaforma di scambio decentralizzata Uniswap V4. Ecco cosa fa in termini semplici:
Gestisce i tuoi investimenti: Si occupa di investire i tuoi fondi in pool di liquidità su Uniswap V4. Tu definisci la strategia, come le coppie di criptovalute, l'importo da investire e gli intervalli di prezzo desiderati.
Si adatta al mercato: Monitora costantemente i prezzi. Se il prezzo di mercato esce dall'intervallo che hai impostato, o se modifichi l'intervallo desiderato in un apposito file (range.txt), il bot può automaticamente ritirare i fondi e reinvestirli secondo le nuove condizioni.
Ottimizza le risorse:
Se necessario, può prendere in prestito fondi da una piattaforma di lending come Aave per fornire la liquidità richiesta.
Al contrario, se ci sono fondi inutilizzati, può depositarli su Aave per farti guadagnare interessi.
Prima di creare nuove posizioni di liquidità, si assicura di ripagare eventuali debiti su Aave.
Interagisce con la Blockchain: Prepara e invia le transazioni sulla blockchain (ad esempio Ethereum o Polygon), cercando di ottimizzare i costi del gas (le commissioni di transazione) utilizzando servizi come Blocknative.
Mantiene lo stato: Salva le informazioni importanti sulla tua strategia e sulle posizioni attive, in modo da poter riprendere correttamente le operazioni.
In pratica, questo bot ti aiuta a fornire liquidità su Uniswap V4 in modo automatizzato, reagendo ai cambiamenti di mercato e cercando di ottimizzare l'uso dei tuoi fondi, inclusa l'interazione con Aave per prestiti e depositi.
16.1
 a. If the last operation performed on a computer with an 8-bit word was an addition in which
 the two operands were 00000010 and 00000011, what would be the value of the
 following flags?
 Carry
 Zero
 Overflow
 Sign
 Even Parity
 Half-Carry
 b. Repeat for the addition of −1 (twos complement) and +1.


16.2 Repeat Problem 16.1 for the operation A − B where A contains 11110000 and B contains
 0010100.


16.3 A microprocessor is clocked at a rate of 5 GHz.
 a. How long is a clock cycle?
 b. What is the duration of a particular type of machine instruction consisting of three clock
 cycles?


 16.4 A microprocessor provides an instruction capable of moving a string of bytes from one
 area of memory to another. The fetching and initial decoding of the instruction takes 10 clock
 cycles. Thereafter, it takes 15 clock cycles to transfer each byte. The microprocessor is clocked
 at a rate of 10 GHz.
 a. Determine the length of the instruction cycle for the case of a string of 64 bytes.
 b. What is the worst-case delay for acknowledging an interrupt if the instruction is
 noninterruptible?
 c. Repeat part (b) assuming the instruction can be interrupted at the beginning of each byte
 transfer.


 16.5 The Intel 8088 consists of a bus interface unit (BIU) and an execution unit (EU), which form
 a 2-stage pipeline. The BIU fetches instructions into a 4-byte instruction queue. The BIU also
 participates in address calculations, fetches operands, and writes results in memory as
 requested by the EU. If no such requests are outstanding and the bus is free, the BIU fills any
 vacancies in the instruction queue. When the EU completes execution of an instruction, it
 passes any results to the BIU (destined for memory or I/O) and proceeds to the next instruction.
 a. Suppose the tasks performed by the BIU and EU take about equal time. By what factor
 does pipelining improve the performance of the 8088? Ignore the effect of branch
 instructions.
 b. Repeat the calculation assuming that the EU takes twice as long as the BIU.


 16.6 Assume an 8088 is executing a program in which the probability of a program jump is 0.1.
 For simplicity, assume that all instructions are 2 bytes long.
 a. What fraction of instruction fetch bus cycles is wasted?
 b. Repeat if the instruction queue is 8 bytes long.
 

16.7 Consider the timing diagram of Figures 16.10 . Assume that there is only a two-stage
 pipeline (fetch, execute). Redraw the diagram to show how many time units are now needed for
 four instructions.
from fastapi import FastAPI, Query
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

app = FastAPI()

MODEL_NAME = "deepseek-ai/DeepSeek-R1-0528-Qwen3-8B"
print("Loading model and tokenizer...")

tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    MODEL_NAME,
    torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
    device_map="auto",
    trust_remote_code=True
)
model.eval()
print("Model loaded successfully!")

@app.get("/inference")
async def generate_qwen_response(
    role: str = Query(...),
    prompt: str = Query(...),
    content: str = Query(...),
    max_tokens: int = Query(256),
    temperature: float = Query(0.7),
    top_p: float = Query(0.95),
    top_k: int = Query(50),
):
    messages = [{"role": role, "question": prompt, "content": content}]
    text = tokenizer.apply_chat_template(
        messages,
        tokenize=False,
        add_generation_prompt=True,
        enable_thinking=False
    )

    model_inputs = tokenizer([text], return_tensors="pt").to(model.device)

    with torch.no_grad():
        generated_ids = model.generate(
            **model_inputs,
            max_new_tokens=max_tokens,
            temperature=temperature,
            top_p=top_p,
            top_k=top_k,
            do_sample=True,
            eos_token_id=tokenizer.eos_token_id,
        )

    output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist()

    THINK_END_TOKEN_ID = 151668  
    try:
        index = len(output_ids) - output_ids[::-1].index(THINK_END_TOKEN_ID)
    except ValueError:
        index = 0  

    thinking_content = tokenizer.decode(output_ids[:index], skip_special_tokens=True).strip("\n")
    final_content = tokenizer.decode(output_ids[index:], skip_special_tokens=True).strip("\n")

    return {
        "prompt": prompt,
        "thinking_content": thinking_content,
        "response": final_content
    }

in this input way give for google/gemma-3-12b-it-qat-int4-unquantized this llm deployment
Create a memory-card entry for <antagonist> using exactly this structure (do not include 1. 2. 3. 4. in headings):

1. Definition

A concise, informal explanation.

If multiple different meanings, clearly label them

2. Etymology & History

Origin (language/root)

1–2 key evolution points that aid memorization

3. Usage

brief examples with the target word in bold

Include at least one example per distinct meaning

4. synonyms (3 max, in 1 line, prefer common words)

5. Memorization Tip

One actionable strategy use etymology

rules:

clearly lable parts of speech in definition. e.g. (n.) meaning...

Use bullet points over long sentences

do not italicize any text

No mnemonic devices (acronyms, rhymes)

Keep all related words under the same section

Begin immediately with the Definition section; do not include a title header

the content of each sub section should begin with a markdown bullet point, even if it only has 1 line. For example, the words under Synonyms should begin with a markdown bullet point, but title "Synonyms" should not begin with a bullet point.

Do not include irrelevant text like "here is your answer".

titles like Definition, Synonyms should be bolded text, not headings in markdown.
I have this method public static String nepaliToShort(String nepaliNum) { StringBuilder englishNum = new StringBuilder(); for (char ch : nepaliNum.toCharArray()) { if (ch >= '०' && ch <= '९') { englishNum.append((char) ('0' + (ch - '०'))); } else { englishNum.append(ch); // Keep non-digit characters as-is (if any) } } return englishNum.toString(); } If input comes in this format "९ महिना", "१७ म" then need to convert the number into year. like 9 months will be 1 year 17 months will be 2 years (rounded) .
现代电脑机箱上的电源按键，按下之后对系统而言是非正常关机吗？各系统又有什么区别？以下是ubuntu的一个按下电源的Journalctl日志。
```
systemd-logind[1244]: Power key pressed short.
dbus-daemon[1212]: [system] Activating via systemd: service name='org.freedesktop.PackageKit' unit='pac>
systemd[1]: Starting packagekit.service - PackageKit Daemon...
PackageKit[773083]: daemon start
dbus-daemon[1212]: [system] Successfully activated service 'org.freedesktop.PackageKit'
 systemd[1]: Started packagekit.service - PackageKit Daemon.
 gnome-shell[1779]: endSessionDialog: No XDG_SESSION_ID, fetched from logind: c1
 gnome-shell[1779]: Unhandled promise rejection. To suppress this warning, add an error handler to your >
                                              OpenAsync@resource:///org/gnome/shell/ui/endSessionDialog.js:710:20
                                              _handleMethodCall@resource:///org/gnome/gjs/modules/core/overrides/Gio.js:373:35
                                              _wrapJSObject/<@resource:///org/gnome/gjs/modules/core/overrides/Gio.js:408:34
                                              @resource:///org/gnome/shell/ui/init.js:21:20
 systemd-logind[1244]: Power key pressed short.
 systemd-logind[1244]: The system will power off now!
 kernel: audit: type=1107 audit(1750753020.335:427): pid=1212 uid=102 auid=4294967295 ses=4294967295 sub>
                                    exe="/usr/bin/dbus-daemon" sauid=102 hostname=? addr=? terminal=?'
 kernel: audit: type=1107 audit(1750753020.336:428): pid=1212 uid=102 auid=4294967295 ses=4294967295 sub>
                                    exe="/usr/bin/dbus-daemon" sauid=102 hostname=? addr=? terminal=?'
 /usr/libexec/gdm-x-session[1750]: dbus-daemon[1750]: [session uid=127 pid=1750] Activating service name>
 kernel: rfkill: input handler enabled
 /usr/libexec/gdm-x-session[1750]: dbus-daemon[1750]: [session uid=127 pid=1750] Activated service 'org.>
 systemd-logind[1244]: System is powering down.
 systemd[1]: unattended-upgrades.service: Deactivated successfully.
 org.gnome.Shell.desktop[1779]: X connection to :0 broken (explicit kill or server shutdown).

```
отредактируй и при необходимости допиши текст в деловом стиле

С 2023 года в нашей библиотеке проводятся мастер-классы каллиграфии "Русское письмо", в которых неизменно принимают участие целыми семьями, поскольку эта деятельность интересна и взрослым, и детям

Каждый мастер-класс посвящается значимому празднику, например, создание открыток ("Пасхальная открытка", "Открытка для мамы" к 8 марту, "Счастливого Рождества") с применением техники каллиграфии 

Формат проведения:
Во время мастер-класса ведущий предоставляет общую информацию о принципах древнерусского письма, а также при необходимости об актуальной значимой дате (если мастер-класс приурочен к ней), раздает необходимые материалы. Участники выполняют свои работы, ведущий при необходимости содействует

Цель:
- познавательная (познакомить участников с новой для них техникой)
- патриотическая (изучение древнерусского письма)
- развитие семейных ценностей (совместная деятельность сплачивает родителей и детей, создает общие интересы)

Проблематика:
-
-
-
Abstract

The kapellasite family 𝐴⁢Cu3⁢(OH)6+𝑥⁢(Cl,Br)3−𝑥 forms a series of compounds, wherein the chemical pressure realized by the 𝐴−site cation tunes the spin exchange in the frustrated distorted kagome lattice. Via hydrothermal synthesis we have grown single crystals of the whole series for 𝐴= rare-earths and found a clear structural transition to a superstructure variant at a specific chemical pressure level exerted by 𝐴=Dy. Phases with crystal structures in the vicinity of this superstructure transition realize a distorted kagome lattice of the Cu2+ cations with characteristic features of a spin liquid. Here, subtle structural disorder as well as controlled chemical pressure can stabilize the spin-liquid phase. We study the crystal structure and the magnetic ground state of these phases via single-crystal x-ray diffraction, magnetic susceptibility, specific-heat, and muon spin spectroscopy measurements.

                    って何いってるか分かる？日本語で回答頼む。難用語あったら解説もお願い。
rephrase for a discussion section of a research paper: The study set-up used has several limitations, that need to be considered, when interpreting the results of the present study. Additional imaging of the specimens was not done, and therefore the results cannot be married with the diagnostic imaging results, which might have been a very interesting aspect. Furthermore, diagnostic imaging might have shown pathologies not noted on gross pathology after the experiments, especially CT and/or MRI might have been a complementary information.
Какому уровню развития системы тайм-менеджмент соответствуют следующие условия "значимым является приоритетность важности дела над его срочностью; глубокое познание себя, высокая самодисциплина и настойчивость; стремление к счастью"?


Select one:

a.
календарное планирование дел


b.
фиксация и систематизация дел


c.
планирование дел по приоритетам


d.
позитивный тайм-менеджмент
Following is data for state income in Rupees crore for  West Bengal from 2004 to 2013. 
West Bengal 208656.36 230244.95 261681.87 299482.75 341942.48 398880.38 460958.94 528315.74 603310.53 706561.24
. Now  estimate Income of West Bengal income in 2024 using Annual growth rate method and ARIMA method ?
I was reading the Meltdown paper. I don't understand the following passage:

However, we observed that out-of-order memory
lookups influence the cache, which in turn can be de-
tected through the cache side channel. As a result, an
attacker can dump the entire kernel memory by reading
privileged memory in an out-of-order execution stream,
and transmit the data from this elusive state via a mi-
croarchitectural covert channel (e.g., Flush+Reload) to
the outside world. On the receiving end of the covert
channel, the register value is reconstructed. Hence, on
the microarchitectural level (e.g., the actual hardware im-
plementation), there is an exploitable security problem
Is the following documentation linguistically sound?

```reST
#. The output from the serial port should be similar to the following:

   .. code:: shell

      user@host:~$ sudo microcom --port=/dev/ttyACM0 --speed=115200
      [sudo] password for user: 
      connected to /dev/ttyACM0
      Escape character: Ctrl-\
      Type the escape character to get to the prompt.
      LCD driver initialized.
      Touch pad driver initialized.
```
Folgende Aufgabe. Wir wollen einen Manga vom Japanischen ins Englische übersetzen.
Ich gebe dir die Sprechblasentexte nummeriert und die sagst zu jedem wie die Übersetzung aussieht.
Beachte beim Übersetzen den Kontext.
Antworte nur mit den Übersetzungen.

1. 生け捕りにしろと．．．？
2. そうだ．．．決して殺してはならん
3. ですが．．．このような破廉恥な賊を生かしては．．．
4. プラエよ．．．皆までいうな相応の報いを受けてもらうだけじゃ
mam strone https://www.facebook.com/Sezamochrona chce dodac skrypt ktory zaladuje strone facebooka w szablonie django ten kod mi nie laduje               <div class="col-md-6 d-flex justify-content-center mb-4 mb-md-0">
                <div class="w-100" style="max-width: 500px;">
                  <div class="container section-title" data-aos="fade-up">
                    <h2>Social Media</h2>
                  </div>
                  <div id="fb-root"></div>
                    <script async defer crossorigin="anonymous" 
                        src="https://connect.facebook.net/pl_PL/sdk.js#xfbml=1&version=v12.0"></script>
                    <div class="fb-page" 
                        data-href="https://www.facebook.com/Sezamochrona" 
                        data-tabs="timeline" 
                        data-width="500" 
                        data-height="600"
                        data-small-header="false" 
                        data-adapt-container-width="true"
                        data-hide-cover="false" 
                        data-show-facepile="true">
                        <blockquote cite="https://www.facebook.com/Sezamochrona" 
                                    class="fb-xfbml-parse-ignore">
                            <a href="https://www.facebook.com/Sezamochrona">Twoja Strona Facebook</a>
                        </blockquote>
                  </div>
                </div>
              </div> calej strony kreci sie kolko ladowania
Не удивляет, а как вообще появилась первая клетка? Самая простая клетка - это сложнейшая химическая фабрика - верить что она возникла случайно, и сразу стала размножаться - это верить, что однажды из шлака на свалке сам собой сложится автомобильный завод.  Вирусы мимо - для их размножения нужна клетка. Так как возникла первая клетка?
I'm looking for you to create a minified JavaScript bookmarklet that produces an ambient glow effect for YouTube videos on Microsoft Edge. My goal is to fill the black bars on 16:9 content when watching with my 21:9 ultrawide monitor by extending the video content as a dynamic, blurred background, which helps with immersion and prevents OLED burn-in. The visual effect should be seamless and have feathered transitions on all four sides of the main video, and the resulting glow must be smooth and free of any color banding, especially in dark scenes. Functionally, the bookmarklet needs to act as a simple toggle: one click to activate the effect, and a second click to completely deactivate it, restoring the page to its original state. The most critical requirement is that this effect must work perfectly and consistently across all of YouTube's viewing modes, including the default small player, theater mode, and the native fullscreen view. To be clear, when the effect is active in the default view, the ambient glow must expand to fill the entire browser window background, not be limited to a small area. Crucially, the glow must not disappear when entering fullscreen mode.
Make this code more readable, better performance
import sqlite3
import pandas as pd
import plotly.express as px
from datetime import datetime
import sys
import os


if len(sys.argv) != 2:
    print("Usage: python script_name.py database_file")
    sys.exit(1)
elif not os.path.exists(sys.argv[1]):
    print(f"Error: The database file '{sys.argv[1]}' does not exist.")
    sys.exit(1)

database_filename = sys.argv[1]



# Connect to SQLite database
def get_screen_time_data(db_path):
    conn = sqlite3.connect(db_path)
    query = "SELECT _id, _from, _duration FROM screen_events"
    df = pd.read_sql_query(query, conn)
    conn.close()
    return df

# Process data to get daily usage
def process_daily_usage(df):
    # Convert timestamp from milliseconds to datetime
    df['date'] = pd.to_datetime(df['_from'], unit='ms')

    # Extract just the date part (without time)
    df['date'] = df['date'].dt.date

    # Convert duration from milliseconds to hours
    df['duration_hours'] = df['_duration'] / (1000 * 60 * 60)

    # Group by date and sum the durations
    daily_usage = df.groupby('date')['duration_hours'].sum().reset_index()

    return daily_usage

# Create the chart
def create_chart(daily_usage):
    fig = px.bar(
        daily_usage,
        x='date',
        y='duration_hours',
        title='Daily Screen Time Usage',
        labels={
            'date': 'Date',
            'duration_hours': 'Screen Time (Hours)'
        }
    )

    # Customize the layout
    fig.update_layout(
        xaxis_title="Date",
        yaxis_title="Screen Time (Hours)",
        bargap=0.2,
        showlegend=False,
        plot_bgcolor='white'
    )

    # Add gridlines
    fig.update_yaxes(gridcolor='lightgrey', gridwidth=0.5)

    return fig

def main():
    # Replace 'your_database.db' with your actual database file path
    db_path = database_filename

    try:
        # Get data from database
        df = get_screen_time_data(db_path)

        # Process data
        daily_usage = process_daily_usage(df)

        # Create chart
        fig = create_chart(daily_usage)

        # Show the chart in browser
        fig.show()

        print("Opened.")

    except Exception as e:
        print(f"An error occurred: {str(e)}")

if __name__ == "__main__":
    main()
I need to translate the quarterly leadership meeting notes to team members of a company that creates and supplies makeup used in live theater. The goal is for them to be clear on the key messages, feel inspired, and understand what actions they need to take. Write the email. AI for Leaders - Participant Materials
Activity: Quarterly Leadership Meeting
Below are the take-aways from the leadership meeting from a company that creates and supplies makeup used in live theater.
Company: Dramatisque Cosmetics Date: Q2 2025 Leadership Meeting – May 15, 2025 Location: Headquarters, NYC / Hybrid
1. Financial Performance Overview
● Q2 Revenue: $12.4M (up 28% from Q1, up 43% YoY)
● Gross Margin: 65.1%
● Top-Selling Product Categories:
○ Lip: Red Diva Lip Crème – $2.1M in sales
○ Eyes: Punky Blue-ster Shadow Palette – $1.3M in sales Skin: Theatrical-Grade Foundation (new shade range) – $970K in sales
Insight: Customer preference continues to favor bold, expressive colors with staying power under stage and screen lighting.
2. Customer Insights & Trends
● Surge in Zoom-Centric Inquiries: 34% increase in customer service tickets related to:
○ Makeup for virtual meetings
○ Best lighting and camera angles with makeup 1
AI for Leaders - Participant Materials
○ Filter-free, professional appearance
● Shift in Buying Patterns:
○ Higher conversion rates on bundles targeting remote performers and educators.
○ Growing interest in tutorials, especially for digital presentation optimization.
3. Strategic Initiatives & Decisions
a. Marketing & Campaigns
● New Campaign Launched: "Zoom in With Confi dence" Launch Date: June 10, 2025 Focus: Empower users with makeup that enhances clarity and expression in virtual settings. Channels: Instagram, TikTok, LinkedIn (for B2B reach to performing arts educators)
● Infl uencer Collaborations: Signed 4 micro-infl uencers known for live performance coaching and virtual workshops.
● UGC Contest: Launching July – “No Filter, All Fierce” contest for Zoom-ready looks.
b. Product Development 2
AI for Leaders - Participant Materials
● R&D Greenlit:
○ “StayLit” Line: A hybrid foundation optimized for webcam lighting.
○ “Screen Siren” Finish Spray: Prevents shine and blurring on low-res video.
● Innovation Sprint Q3: Cross-functional ideation for products aimed at theater students using digital platforms.
c. Customer Experience
● Help Center Overhaul:
○ AI-assisted chatbot pilot extended after 94% satisfaction rate.
○ New category to be added: "Makeup for Digital Appearances."
● Customer Education:
○ Creating an asynchronous course: Stage to Screen: Makeup for Video.
○ Partnering with 3 acting schools for live demos on virtual presence.
d. Internal Priorities
● Team Wins:
○ Customer Support hit 3-minute average fi rst-response time (20% faster than last quarter). 3
AI for Leaders - Participant Materials
○ Marketing team delivered campaign rollout 10 days ahead of schedule.
● Q3 Planning:
○ Expand training for support agents on tech-enhanced beauty consultations.
○ DEI focus: Sourcing talent and creators from underrepresented theater communities.
4
3.2	System Boot and iLO Verification
3.2.1	H1 Configuration
Server Model: H1 HPE ProLiant DL360 Gen11 Silver server 
Test Item	Expected Result	Result (OK/NOK)	Comments
Boot Verification
Power On Self Test (POST)	Completes without errors		
System Boot	Can boot to BIOS/OS installer		
Error Messages	No critical errors during POST		
iLO Access and License
iLO Web Interface	Accessible via dedicated port		
iLO Advanced License	License activated		
Hardware Detection via iLO
Processors	2x Intel Xeon-Silver 4410Y detected		
Processor Cores	24 total cores (2x12)		
Memory	128GB DDR5-4800 detected		
Storage Controller	HPE MR416i-o with 8GB cache		
System Drives	2x 960GB SATA SSD detected		
Network Adapter	Broadcom BCM5719 4-port detected		
Power Supplies	2x 800W PSUs online		
System Health via iLO
Temperature Status	All sensors within normal range		
Fan Status	All fans operational		
Power Redundancy	Both PSUs sharing load		
Storage Battery	Smart Storage Energy Pack (Status: OK)		
Firmware and Driver Version Check
BIOS Firmware			
iLO Firmware			
RAID Controller Firmware			
NIC Firmware			

Serial Number Verification Table (H1 HPE ProLiant DL360 Gen11 Silver server):









	


	


	




	


	




	


	


	


	


	


	


	




	


	


	


	









	


	


	




	


	




	


	


	


	


	


	


	




	


	


	


	









	


	


	




	


	




	


	


	


	


	


	


	




	


	


	


	









	


	


	




	


	




	


	


	


	


	


	


	




	


	


	


	









	


	


	




	


	




	


	


	


	


	


	


	




	


	


	


	









	


	


	




	


	




	


	


	


	


	


	


	




	


	


	


	









	


	


	




	


	




	


	


	


	


	


	


	




	


	


	


	









	


	


	




	


	




	


	


	


	


	


	


	




	


	


	


	









	


	


	




	


	




	


	


	


	


	


	


	




	


	


	


	









	


	


	




	


	




	


	


	


	


	


	


	




	


	


	


	









	


	


	




	


	




	


	


	


	


	


	


	




	


	


	


	









	


	


	




	


	




	


	


	


	


	


	


	




	


	


	


	









	


	


	




	


	




	


	


	


	


	


	


	




	


	


	


	
Serial Number	Post	Boot	iLO Access	Hardware Detection	System Health	Overall
SGHD2JJ7QY						
SGHD2JJ7R7						
SGHD2JJ7RJ						
SGHD2JJ7RT 						
SGHD2JJ7S3 						
SGHD2JJ7R1 						
SGHD2JJ7RB 						
SGHD2JJ7RM 						
SGHD2JJ7RX 						
SGHD2JJ7S6 						
SGHD2JJ7R4 						
SGHD2JJ7RF 						
SGHD2JJ7RQ 						
SGHD2JJ7S0						

Comment:
network adapter:
Please add item to check the other interface as specified in the tender document:
- at least one (1) GbE port (with RJ-45 connector) for out-of-band management
- at least one (1) VGA display ports for rack manager
- at least one (1) front USB 3.2 and two (2) rear USB 3.2 or above port
power supplies:
add hot swap test, remove one PSU, ensure the server continues running without iLo errors
system health via iLO to add :
execute insight diagnostics in iLO to assess CPU, memory, motherboard, fan test and storage controller health. Check any error codes from the diagnostics.
fan status:
to check at least seven redundant hot swappable fans
下記のコードを数百倍オーダーで高速化してください。列数は1000程度あります。
target = train["label"]
numeric_cols = train.select_dtypes(include=[np.number]).columns

# 結果を保存する辞書
correlations = {}

# 四則演算の関数を定義
operations = {
    'add': lambda x, y: x + y,
    'sub': lambda x, y: x - y,
    'mul': lambda x, y: x * y,
    'div': lambda x, y: x / (y + 1e-10)  # 除算の際の0除算を避ける
}

# 相関係数の計算
for op_name, op in operations.items():
    print(op_name)
    for col1 in tqdm.tqdm(numeric_cols):
        for col2 in numeric_cols:
            if col1 == col2 and op_name in ['sub', 'div']:  # 自身との減算や除算はスキップ
                continue
            new_col = f"{col1}_{col2}_{op_name}"
            train[new_col] = op(train[col1], train[col2])
            corr = train[new_col].corr(target)
            correlations[new_col] = corr
            train = train.drop(columns=[new_col])  # 一時的に追加した列を削除

# 結果をDataFrameに変換
corr_df = pd.DataFrame(list(correlations.items()), columns=['Feature', 'Correlation'])

# 相関係数の絶対値でソート
corr_df = corr_df.reindex(corr_df['Correlation'].abs().sort_values(ascending=False).index)

print(corr_df)
レトロフューチャーとは違うんだけど、
1. The Brain That Wouldn't Die の「切断されても喋る生首」とか、
2. スーパーマンの「地球を逆回転させて時間を戻す」みたいな、
現代の知識では100%間違いと断定できるような、おもしろSFアイデアに名前ってある？
Create and combine those repos We are going to add this new function from repos, https://github.com/gomoonit/moonshot-sdk-evm to add a base buy, sell and mint, https://github.com/yllvar/base-on-fun-front , https://github.com/Zumairaka/SolanaTokenLaunchpad , https://github.com/mustierd/Solana-MemeToken-Audit-Result , and from this repo https://github.com/Harsh0R/spl_token_intraction take only the burn function. 

 https://github.com/digbenjamins/TwitterTracker 

 https://github.com/solanabots/Solana-Twitter-Bot 

 https://github.com/VladKochetov007/WhaleSniperScrapper  

 And twitter scrape via selenium. 



 https://github.com/DracoR22/handi-cat_wallet tracker 



 https://github.com/rustyneuron01/Volume-Bundler-Sniping-Copy-Trading-Bot 



 Now do your research and lets add those features to this project 


the ui design make it more addictive and user-friendly, ease of use and visuals on trades and more combine x.com with axiom ui.
i also though want to mention the reason i asked her out was not because i wanted a relationship with her i just felt like expressing how i truly fet because i find commitment kind of scary so i wouldn't want that but i did it i realized because like her and just wanted to express my feelings and whenever we texted about thisshe said that maybe we should create some distance and i understand that but i also feel as if she said that because she is not comfortable around me anymore and that ties in the being vulnerable and still being humiliated in a way and i do not know if she wants to have an open conversation about this or if she would rather continue being friends and forget it even happene
tldr:
-- Create Comment Categories table
IF NOT EXISTS (SELECT 1 FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_NAME = 'StudentCommentCategories')
BEGIN
    CREATE TABLE StudentCommentCategories (
        Id INT IDENTITY(1,1) PRIMARY KEY,
        Text NVARCHAR(255) NOT NULL,
        Active BIT NOT NULL DEFAULT 1
    );
END;

IF NOT EXISTS (SELECT 1 FROM StudentCommentCategories WHERE Text = 'General comment')
    INSERT INTO StudentCommentCategories (Text, Active) VALUES ('General comment', 1);

IF NOT EXISTS (SELECT 1 FROM StudentCommentCategories WHERE Text = 'Employment info')
    INSERT INTO StudentCommentCategories (Text, Active) VALUES ('Employment info', 1);

IF NOT EXISTS (SELECT 1 FROM StudentCommentCategories WHERE Text = 'Pay & agreements')
    INSERT INTO StudentCommentCategories (Text, Active) VALUES ('Pay & agreements', 1);

IF NOT EXISTS (SELECT 1 FROM StudentCommentCategories WHERE Text = 'Feedback & Evaluation')
    INSERT INTO StudentCommentCategories (Text, Active) VALUES ('Feedback & Evaluation', 1);

IF NOT EXISTS (SELECT 1 FROM StudentCommentCategories WHERE Text = 'Screening & interview notes')
    INSERT INTO StudentCommentCategories (Text, Active) VALUES ('Screening & interview notes', 1);

IF NOT EXISTS (SELECT 1 FROM StudentCommentCategories WHERE Text = 'Sickness & absence')
    INSERT INTO StudentCommentCategories (Text, Active) VALUES ('Sickness & absence', 1);

IF NOT EXISTS (SELECT 1 FROM StudentCommentCategories WHERE Text = 'Status update')
    INSERT INTO StudentCommentCategories (Text, Active) VALUES ('Status update', 1);

IF NOT EXISTS (SELECT 1 FROM StudentCommentCategories WHERE Text = 'Accidents, health & safety')
    INSERT INTO StudentCommentCategories (Text, Active) VALUES ('Accidents, health & safety', 1);

-- Add Category to Comment
IF NOT EXISTS (SELECT 1 FROM INFORMATION_SCHEMA.COLUMNS 
               WHERE TABLE_NAME = 'CommentsOnStudent' AND COLUMN_NAME = 'StudentCommentCategoriesId')
BEGIN
    ALTER TABLE CommentsOnStudent
    ADD StudentCommentCategoriesId INT NOT NULL DEFAULT 1;
END;

IF NOT EXISTS (
    SELECT 1 
    FROM sys.foreign_keys 
    WHERE name = 'FK_CommentsOnStudent_StudentCommentCategories'
)
BEGIN
    ALTER TABLE CommentsOnStudent
    ADD CONSTRAINT FK_CommentsOnStudent_StudentCommentCategories
    FOREIGN KEY (StudentCommentCategoriesId) 
    REFERENCES StudentCommentCategories(Id);
END

IF NOT EXISTS (
    SELECT 1 
    FROM sys.indexes 
    WHERE name = 'IX_CommentsOnStudent_StudentCommentCategoriesId'
      AND object_id = OBJECT_ID('CommentsOnStudent')
)
BEGIN
    CREATE INDEX IX_CommentsOnStudent_StudentCommentCategoriesId
    ON CommentsOnStudent (StudentCommentCategoriesId);
END
Az alábbi szövegből szedd ki ezeket az adatokat bejelentő,  mi történt(max, 5 szóban összegezve), helyszín, egyéb fontos infó (max 5 szóban), riasztandó egységek (mit mennyit): autóbalesetet szenvedtem a 4esen, beragadtam a kamionba amivel benzint szállítok, egy busszal ütközten, sok a sérült
من برای اندروید به زبان جاوا کد می‌نویسم. در حال حاضر روی پروژه حفظ قرآن کار میکنم و میخواهم برای کمک به حافظان قرآن چند آزمون طراحی کنم. 
هفت آزمون طراحی کردم و چند آزمون باقی مانده. 
برخی از این آزمون ها را برای تو شرح میدهم تا از آنها ایده بگیری و تعدادی ایده به من ارائه کنی تا تعداد دیگری آزمون طراحی کنم. 

آزمون اول -› لغات پنهان شده

تعدادی از خطوط قرآن را به کاربر نشان می‌دهم. برخی از لغات این خطوط پنهان شده است و به جای آنها علامت سوال (؟) گذاشته شده و در پایین آن همین لغات غیب شده به هم ریخته شده و کاربر باید روی این لغات کلیک کنند تا در جای درست خود قرار گیرند

آزمون دو -› ترتیب آیات

تعدادی آیه متوالی به کاربر نشان داده می‌شود. این آیات در یک لیست به کاربر نشان داده می‌شود که هر آیتم لیست یک دستگیره در سمت راست خود دارد. ترتیب آیات به هم ریخته و کاربر باید با نگه داشتن دستگیره سمت راست هر آیتم که یک آیه است را جابه‌جا کند تا ترتیب آنها درست شود. 

آزمون سه -› اتصال اول و آخر آیه

دو لیست به کاربر نشان داده می‌شود. یک لیست در سمت چپ و یک لیست در سمت راست. لیست سمت راست ابتدای چند آیه است و لیست سمت چپ انتهای همان آیات است. کاربر باید ابتدا و انتهای آیات را با یک خط به هم وصل کند. 

آزمون چهار -› اتصال اول و آخر خط

دقیقا همان آزمون قبلی است اما کاربر باید ابتدا و انتهای خط را به هم وصل کند

آزمون پنج -› انتخاب آیه قبلی یا بعدی

یک آیه به کاربر نشان داده می‌شود و از او پرسیده می‌شود آیه قبل با آیه بعد این آیه چیست؟ چهار گزینه به کاربر نشان داده می‌شود و کاربر باید یکی از آنها را انتخاب کند. 

آزمون شش -› انتخاب باقی آیه

ابتدا صوت بخشی از آیه پخش می‌شود و چهار گزینه به کاربر نشان داده می‌شود و از او پرسیده می‌شود بقیه آیه کدام گزینه است

آزمون هفت -› انتخاب تصویر هر آیه

از آنجا که نرم‌افزار من حفظ قرآن را به کمک تصاویر ممکن می‌کند، یک تصویر برای هر آیه در نظر می‌گیرد. در این آزمون به کاربر یک آیه نشان داده می‌شود و تعدادی تصویر هم در چهار گزینه به او نشان داده می‌شود که کاربر باید تصویر مناسب این آیه را انتخاب کند. 

حالا تو چند آزمون دیگر طراحی کن
We know, that transformer architecture can process text (BPE tokens, or similar), audio (through neural audio codec with discrete audio tokens) and vision (VQ-VAE visual patch tokens or CNN-style visual features with projection into transformer embedding space), allowing interleaved (text snippets, audio segments, images or short videos visual frames) multimodal input and output -- any to any mixture of modalities. But surprisingly, there is still no publicly released pretrained large multimodal transformer. Why it might be so?
Podziel użytkowników na heavy users and non users. Opisz ich

Hevy users – intensywni użytkownicy. Są to osoby, które będą najczęściej korzystać z rozwiązania jakie przygotujesz. Popatrz na obszar jaki wybrałeś/aś kto w największym stopniu dotyczy ten obszar? 

Non users – osoby, które docelowo nie będą na co dzień korzystać z rozwiązania z obszaru jaki wybrałeś/aś. Popatrz na obszar jaki wybrałeś/aś kto w najmniejszym stopniu dotyczy ten obszar?  

Proces empatyzacji przeprowadzamy dla non i hevy users oddzielnie. Dzięki temu otrzymasz informacje o dużym kontraście.
六十多, 男. 下壓>100; 上壓約14X. 己在吃BETALOC , 200mg/day, 加吃利尿劑，下壓約100; 上壓約1３X 中醫如何醫? 有什麼成藥可暫用（ 我下星期會到西醫處覆診...）
Sono uno sviluppatore informatico.

Vorrei creare un sistema dove raccolgo le mail e le FAQ del mio cliente. Non mi interessa come. Ho messo tutto in un database.

il cliente arriva sulla webapp, c'è un chat bot. Il cliente può parlare con LLM e interrogare tutti questi dati.

Domanda 1) come creo questo sistema self hosted per indicizzare i dati correttamente? Quasi un rag.

Poi per LLM posso collegarmi a delle api.

Oppure posso avere anche LLM in locale self hosted?

Spiegami come fa ollama ad aggiungere knowledge ai modelli . E come fa a usare le tool call .

I risultati di un chat bot fatto con ollama sono soddisfacenti?
ты эксперт в нефтяном деле, тебе необходимо Разработать цифровую систему сбора, обработки и анализа больших данных сдатчиков на объектах нефтедобычи с целью: • выявления факторов, влияющих на снижение энергетической эффективности оборудования(УШГН,УЭЦН,насосные станцииидр.) • построения моделей предиктивной аналитики • автоматической генерации рекомендаций по снижению потребления энергии и контроля их выполнения в режиме реального времени. Представь эту тему в виде презентации с разбивкой на слайды . покажи иинновационность проекта
picture of a toon treasure island. at the bottom right show a small like a 6yrs old kid friendly toonified hooded character face shadowed just eyes looking like the merchant in resident evil 4 in side position opening his large trench coat and showing 3 labelled keys lined in it. One label per key : label 1 : "LPX11729", label 2: "GAS34567", label 3: "TPX78965".  you can seen on the back ground mountain and forest, but also some chests
Fix english:{Regarding to Internal DQ Enhancement #197:
1. What exactly is the definition of new member? Does it check the Date of Employment or the date_joining_the_schm in the Member table?
2. How long is considered as new member? 3 months (inclusive/exclusive)? Or does it follow the rule for First contribution (https://www.mpfa.org.hk/en/mpf-system/mandatory-contributions/employees#anchor4)?
3. Is the exception only applicable to Employer? since employee contribution always start with complete wage period}
variables: input_focus_item_index = index of current item (can be min 0 max input_focus_count) shift = how many steps to take from current index input_focus_count = total items count (non-zero based), input_focus_count - 1 is the maximum index possible



Function A. go next for 'shift' steps taking into account the minimum of 0 and maximum index formula: (input_focus_item_index + abs(shift) + input_focus_count) % input_focus_count

If current index is 15 and function is called with shift 10 then current index will equal 5. (e.g. 10 steps forward were taken from initial index 15, first 5 steps to reach maximum of 20, then 5 more after 0 resulting in new index 5 - wrapping). MORE EXAMPLES: input_focus_item_index = 0 shift = 1 input_focus_count = 5 -> input_focus_item_index = 1

input_focus_item_index = 3 shift = 2 input_focus_count = 5 -> input_focus_item_index = 0

input_focus_item_index = 4 shift = 2 input_focus_count = 5 -> input_focus_item_index = 1





Function B. go back for 'shift' steps taking into account the minimum of 0 and maximum index formula: (input_focus_item_index - abs(shift) + input_focus_count) % input_focus_count

like if max index is 20 and current index is 5 and this function is called with shift 10 the current index will equal 15 (10 steps backwards were taken, first 5 steps to 0 and then leftover 5 steps from maximum of 20 to new index 15 - wrapping) MORE EXAMPLES: input_focus_item_index = 0 shift = 1 input_focus_count = 5 -> input_focus_item_index = 4

input_focus_item_index = 3 shift = 2 input_focus_count = 5 -> input_focus_item_index = 1

input_focus_item_index = 1 shift = 2 input_focus_count = 5 -> input_focus_item_index = 4



shortly and directly answer whether my formula for those two functions are correct and work according to the description
explain to me this scientific abstract in terms that will make me understand it without making longer than the actual abstract: "Multi-omics studies, represented by connectomes and spatial transcriptomes, have entered the era of single-cell resolution, necessitating a reference brain atlas with spatial localization capability at the single-cell level1,2,3,4. However, such atlases are unavailable5. Here we present a whole mouse brain dataset of Nissl-based cytoarchitecture with isotropic 1-μm resolution, achieved through continuous micro-optical sectioning tomography. By integrating multi-modal images, we constructed a three-dimensional reference atlas of the mouse brain, providing the three-dimensional topographies of 916 structures and enabling arbitrary-angle slice image generation at 1-μm resolution. We developed an informatics-based platform for visualizing and sharing of the atlas images, offering services such as brain slice registration, neuronal circuit mapping and intelligent stereotaxic surgery planning. This atlas is interoperable with widely used stereotaxic atlases, supporting cross-atlas navigation of corresponding coronal planes in two dimensions and spatial mapping across atlas spaces in three dimensions. By facilitating the data analysis and visualization for large brain mapping projects, our atlas promises to be a versatile brainsmatics tool for studying the whole brain at single-cell level."
Drawing inspiration from true horror classics, write a truly haunting, scary story. 

You must have proper tone, pacing, and beats to make it properly unnerving. Story ideas that sound scary conceptually only ever work if executed properly. 

Avoid cliches, like "Then I saw it. The monster." Punchlines. They are tired, and aren't punchy. The best punchlines are through horrific implication. Think "Scary Stories to Tell in the Dark" level unnerved spookiness.

With all this in mind, draft up an actually scary story that would scare me as an adult.